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'missing' : event.type);\n \t\t\t\t\t\t\tvar realSrc = event && event.target && event.target.src;\n \t\t\t\t\t\t\terror.message = 'Loading chunk ' + chunkId + ' failed.\\n(' + errorType + ': ' + realSrc + ')';\n \t\t\t\t\t\t\terror.name = 'ChunkLoadError';\n \t\t\t\t\t\t\terror.type = errorType;\n \t\t\t\t\t\t\terror.request = realSrc;\n \t\t\t\t\t\t\tchunk[1](error);\n \t\t\t\t\t\t}\n \t\t\t\t\t\tinstalledChunks[chunkId] = undefined;\n \t\t\t\t\t}\n \t\t\t\t};\n \t\t\t\tvar timeout = setTimeout(function(){\n \t\t\t\t\tonScriptComplete({ type: 'timeout', target: script });\n \t\t\t\t}, 120000);\n \t\t\t\tscript.onerror = script.onload = onScriptComplete;\n \t\t\t\tdocument.head.appendChild(script);\n \t\t\t}\n \t\t}\n \t\treturn Promise.all(promises);\n \t};\n\n \t// expose the modules object (__webpack_modules__)\n \t__webpack_require__.m = modules;\n\n \t// expose the module cache\n \t__webpack_require__.c = installedModules;\n\n \t// define getter function for harmony exports\n \t__webpack_require__.d = function(exports, name, getter) {\n \t\tif(!__webpack_require__.o(exports, name)) {\n \t\t\tObject.defineProperty(exports, name, { enumerable: true, get: getter });\n \t\t}\n \t};\n\n \t// define __esModule on exports\n \t__webpack_require__.r = function(exports) {\n \t\tif(typeof Symbol !== 'undefined' && Symbol.toStringTag) {\n \t\t\tObject.defineProperty(exports, Symbol.toStringTag, { value: 'Module' });\n \t\t}\n \t\tObject.defineProperty(exports, '__esModule', { value: true });\n \t};\n\n \t// create a fake namespace object\n \t// mode & 1: value is a module id, require it\n \t// mode & 2: merge all properties of value into the ns\n \t// mode & 4: return value when already ns object\n \t// mode & 8|1: behave like require\n \t__webpack_require__.t = function(value, mode) {\n \t\tif(mode & 1) value = __webpack_require__(value);\n \t\tif(mode & 8) return value;\n \t\tif((mode & 4) && typeof value === 'object' && value && value.__esModule) return value;\n \t\tvar ns = Object.create(null);\n \t\t__webpack_require__.r(ns);\n \t\tObject.defineProperty(ns, 'default', { enumerable: true, value: value });\n \t\tif(mode & 2 && typeof value != 'string') for(var key in value) __webpack_require__.d(ns, key, function(key) { return value[key]; }.bind(null, key));\n \t\treturn ns;\n \t};\n\n \t// getDefaultExport function for compatibility with non-harmony modules\n \t__webpack_require__.n = function(module) {\n \t\tvar getter = module && module.__esModule ?\n \t\t\tfunction getDefault() { return module['default']; } :\n \t\t\tfunction getModuleExports() { return module; };\n \t\t__webpack_require__.d(getter, 'a', getter);\n \t\treturn getter;\n \t};\n\n \t// Object.prototype.hasOwnProperty.call\n \t__webpack_require__.o = function(object, property) { return Object.prototype.hasOwnProperty.call(object, property); };\n\n \t// __webpack_public_path__\n \t__webpack_require__.p = \"\";\n\n \t// on error function for async loading\n \t__webpack_require__.oe = function(err) { console.error(err); throw err; };\n\n \tvar jsonpArray = window[\"w2p_jsonp\"] = window[\"w2p_jsonp\"] || [];\n \tvar oldJsonpFunction = jsonpArray.push.bind(jsonpArray);\n \tjsonpArray.push = webpackJsonpCallback;\n \tjsonpArray = jsonpArray.slice();\n \tfor(var i = 0; i < jsonpArray.length; i++) webpackJsonpCallback(jsonpArray[i]);\n \tvar parentJsonpFunction = oldJsonpFunction;\n\n\n \t// Load entry module and return exports\n \treturn __webpack_require__(__webpack_require__.s = \"5a74\");\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".tour-info-box{display:flex;justify-content:space-between;align-items:flex-start;margin-top:20px}.tour-info-box__info{width:90%}.tour-info-box__info--text{font-size:12px}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","'use strict';\n\nvar undefined;\n\nvar $Error = require('es-errors');\nvar $EvalError = require('es-errors/eval');\nvar $RangeError = require('es-errors/range');\nvar $ReferenceError = require('es-errors/ref');\nvar $SyntaxError = require('es-errors/syntax');\nvar $TypeError = require('es-errors/type');\nvar $URIError = require('es-errors/uri');\n\nvar $Function = Function;\n\n// eslint-disable-next-line consistent-return\nvar getEvalledConstructor = function (expressionSyntax) {\n\ttry {\n\t\treturn $Function('\"use strict\"; return (' + expressionSyntax + ').constructor;')();\n\t} catch (e) {}\n};\n\nvar $gOPD = Object.getOwnPropertyDescriptor;\nif ($gOPD) {\n\ttry {\n\t\t$gOPD({}, '');\n\t} catch (e) {\n\t\t$gOPD = null; // this is IE 8, which has a broken gOPD\n\t}\n}\n\nvar throwTypeError = function () {\n\tthrow new $TypeError();\n};\nvar ThrowTypeError = $gOPD\n\t? (function () {\n\t\ttry {\n\t\t\t// eslint-disable-next-line no-unused-expressions, no-caller, no-restricted-properties\n\t\t\targuments.callee; // IE 8 does not throw here\n\t\t\treturn throwTypeError;\n\t\t} catch (calleeThrows) {\n\t\t\ttry {\n\t\t\t\t// IE 8 throws on Object.getOwnPropertyDescriptor(arguments, '')\n\t\t\t\treturn $gOPD(arguments, 'callee').get;\n\t\t\t} catch (gOPDthrows) {\n\t\t\t\treturn throwTypeError;\n\t\t\t}\n\t\t}\n\t}())\n\t: throwTypeError;\n\nvar hasSymbols = require('has-symbols')();\nvar hasProto = require('has-proto')();\n\nvar getProto = Object.getPrototypeOf || (\n\thasProto\n\t\t? function (x) { return x.__proto__; } // eslint-disable-line no-proto\n\t\t: null\n);\n\nvar needsEval = {};\n\nvar TypedArray = typeof Uint8Array === 'undefined' || !getProto ? undefined : getProto(Uint8Array);\n\nvar INTRINSICS = {\n\t__proto__: null,\n\t'%AggregateError%': typeof AggregateError === 'undefined' ? undefined : AggregateError,\n\t'%Array%': Array,\n\t'%ArrayBuffer%': typeof ArrayBuffer === 'undefined' ? undefined : ArrayBuffer,\n\t'%ArrayIteratorPrototype%': hasSymbols && getProto ? getProto([][Symbol.iterator]()) : undefined,\n\t'%AsyncFromSyncIteratorPrototype%': undefined,\n\t'%AsyncFunction%': needsEval,\n\t'%AsyncGenerator%': needsEval,\n\t'%AsyncGeneratorFunction%': needsEval,\n\t'%AsyncIteratorPrototype%': needsEval,\n\t'%Atomics%': typeof Atomics === 'undefined' ? undefined : Atomics,\n\t'%BigInt%': typeof BigInt === 'undefined' ? undefined : BigInt,\n\t'%BigInt64Array%': typeof BigInt64Array === 'undefined' ? undefined : BigInt64Array,\n\t'%BigUint64Array%': typeof BigUint64Array === 'undefined' ? undefined : BigUint64Array,\n\t'%Boolean%': Boolean,\n\t'%DataView%': typeof DataView === 'undefined' ? undefined : DataView,\n\t'%Date%': Date,\n\t'%decodeURI%': decodeURI,\n\t'%decodeURIComponent%': decodeURIComponent,\n\t'%encodeURI%': encodeURI,\n\t'%encodeURIComponent%': encodeURIComponent,\n\t'%Error%': $Error,\n\t'%eval%': eval, // eslint-disable-line no-eval\n\t'%EvalError%': $EvalError,\n\t'%Float32Array%': typeof Float32Array === 'undefined' ? undefined : Float32Array,\n\t'%Float64Array%': typeof Float64Array === 'undefined' ? undefined : Float64Array,\n\t'%FinalizationRegistry%': typeof FinalizationRegistry === 'undefined' ? undefined : FinalizationRegistry,\n\t'%Function%': $Function,\n\t'%GeneratorFunction%': needsEval,\n\t'%Int8Array%': typeof Int8Array === 'undefined' ? undefined : Int8Array,\n\t'%Int16Array%': typeof Int16Array === 'undefined' ? undefined : Int16Array,\n\t'%Int32Array%': typeof Int32Array === 'undefined' ? undefined : Int32Array,\n\t'%isFinite%': isFinite,\n\t'%isNaN%': isNaN,\n\t'%IteratorPrototype%': hasSymbols && getProto ? getProto(getProto([][Symbol.iterator]())) : undefined,\n\t'%JSON%': typeof JSON === 'object' ? JSON : undefined,\n\t'%Map%': typeof Map === 'undefined' ? undefined : Map,\n\t'%MapIteratorPrototype%': typeof Map === 'undefined' || !hasSymbols || !getProto ? undefined : getProto(new Map()[Symbol.iterator]()),\n\t'%Math%': Math,\n\t'%Number%': Number,\n\t'%Object%': Object,\n\t'%parseFloat%': parseFloat,\n\t'%parseInt%': parseInt,\n\t'%Promise%': typeof Promise === 'undefined' ? undefined : Promise,\n\t'%Proxy%': typeof Proxy === 'undefined' ? undefined : Proxy,\n\t'%RangeError%': $RangeError,\n\t'%ReferenceError%': $ReferenceError,\n\t'%Reflect%': typeof Reflect === 'undefined' ? undefined : Reflect,\n\t'%RegExp%': RegExp,\n\t'%Set%': typeof Set === 'undefined' ? undefined : Set,\n\t'%SetIteratorPrototype%': typeof Set === 'undefined' || !hasSymbols || !getProto ? undefined : getProto(new Set()[Symbol.iterator]()),\n\t'%SharedArrayBuffer%': typeof SharedArrayBuffer === 'undefined' ? undefined : SharedArrayBuffer,\n\t'%String%': String,\n\t'%StringIteratorPrototype%': hasSymbols && getProto ? getProto(''[Symbol.iterator]()) : undefined,\n\t'%Symbol%': hasSymbols ? Symbol : undefined,\n\t'%SyntaxError%': $SyntaxError,\n\t'%ThrowTypeError%': ThrowTypeError,\n\t'%TypedArray%': TypedArray,\n\t'%TypeError%': $TypeError,\n\t'%Uint8Array%': typeof Uint8Array === 'undefined' ? undefined : Uint8Array,\n\t'%Uint8ClampedArray%': typeof Uint8ClampedArray === 'undefined' ? undefined : Uint8ClampedArray,\n\t'%Uint16Array%': typeof Uint16Array === 'undefined' ? undefined : Uint16Array,\n\t'%Uint32Array%': typeof Uint32Array === 'undefined' ? undefined : Uint32Array,\n\t'%URIError%': $URIError,\n\t'%WeakMap%': typeof WeakMap === 'undefined' ? undefined : WeakMap,\n\t'%WeakRef%': typeof WeakRef === 'undefined' ? undefined : WeakRef,\n\t'%WeakSet%': typeof WeakSet === 'undefined' ? undefined : WeakSet\n};\n\nif (getProto) {\n\ttry {\n\t\tnull.error; // eslint-disable-line no-unused-expressions\n\t} catch (e) {\n\t\t// https://github.com/tc39/proposal-shadowrealm/pull/384#issuecomment-1364264229\n\t\tvar errorProto = getProto(getProto(e));\n\t\tINTRINSICS['%Error.prototype%'] = errorProto;\n\t}\n}\n\nvar doEval = function doEval(name) {\n\tvar value;\n\tif (name === '%AsyncFunction%') {\n\t\tvalue = getEvalledConstructor('async function () {}');\n\t} else if (name === '%GeneratorFunction%') {\n\t\tvalue = getEvalledConstructor('function* () {}');\n\t} else if (name === '%AsyncGeneratorFunction%') {\n\t\tvalue = getEvalledConstructor('async function* () {}');\n\t} else if (name === '%AsyncGenerator%') {\n\t\tvar fn = doEval('%AsyncGeneratorFunction%');\n\t\tif (fn) {\n\t\t\tvalue = fn.prototype;\n\t\t}\n\t} else if (name === '%AsyncIteratorPrototype%') {\n\t\tvar gen = doEval('%AsyncGenerator%');\n\t\tif (gen && getProto) {\n\t\t\tvalue = getProto(gen.prototype);\n\t\t}\n\t}\n\n\tINTRINSICS[name] = value;\n\n\treturn value;\n};\n\nvar LEGACY_ALIASES = {\n\t__proto__: null,\n\t'%ArrayBufferPrototype%': ['ArrayBuffer', 'prototype'],\n\t'%ArrayPrototype%': ['Array', 'prototype'],\n\t'%ArrayProto_entries%': ['Array', 'prototype', 'entries'],\n\t'%ArrayProto_forEach%': ['Array', 'prototype', 'forEach'],\n\t'%ArrayProto_keys%': ['Array', 'prototype', 'keys'],\n\t'%ArrayProto_values%': ['Array', 'prototype', 'values'],\n\t'%AsyncFunctionPrototype%': ['AsyncFunction', 'prototype'],\n\t'%AsyncGenerator%': ['AsyncGeneratorFunction', 'prototype'],\n\t'%AsyncGeneratorPrototype%': ['AsyncGeneratorFunction', 'prototype', 'prototype'],\n\t'%BooleanPrototype%': ['Boolean', 'prototype'],\n\t'%DataViewPrototype%': ['DataView', 'prototype'],\n\t'%DatePrototype%': ['Date', 'prototype'],\n\t'%ErrorPrototype%': ['Error', 'prototype'],\n\t'%EvalErrorPrototype%': ['EvalError', 'prototype'],\n\t'%Float32ArrayPrototype%': ['Float32Array', 'prototype'],\n\t'%Float64ArrayPrototype%': ['Float64Array', 'prototype'],\n\t'%FunctionPrototype%': ['Function', 'prototype'],\n\t'%Generator%': ['GeneratorFunction', 'prototype'],\n\t'%GeneratorPrototype%': ['GeneratorFunction', 'prototype', 'prototype'],\n\t'%Int8ArrayPrototype%': ['Int8Array', 'prototype'],\n\t'%Int16ArrayPrototype%': ['Int16Array', 'prototype'],\n\t'%Int32ArrayPrototype%': ['Int32Array', 'prototype'],\n\t'%JSONParse%': ['JSON', 'parse'],\n\t'%JSONStringify%': ['JSON', 'stringify'],\n\t'%MapPrototype%': ['Map', 'prototype'],\n\t'%NumberPrototype%': ['Number', 'prototype'],\n\t'%ObjectPrototype%': ['Object', 'prototype'],\n\t'%ObjProto_toString%': ['Object', 'prototype', 'toString'],\n\t'%ObjProto_valueOf%': ['Object', 'prototype', 'valueOf'],\n\t'%PromisePrototype%': ['Promise', 'prototype'],\n\t'%PromiseProto_then%': ['Promise', 'prototype', 'then'],\n\t'%Promise_all%': ['Promise', 'all'],\n\t'%Promise_reject%': ['Promise', 'reject'],\n\t'%Promise_resolve%': ['Promise', 'resolve'],\n\t'%RangeErrorPrototype%': ['RangeError', 'prototype'],\n\t'%ReferenceErrorPrototype%': ['ReferenceError', 'prototype'],\n\t'%RegExpPrototype%': ['RegExp', 'prototype'],\n\t'%SetPrototype%': ['Set', 'prototype'],\n\t'%SharedArrayBufferPrototype%': ['SharedArrayBuffer', 'prototype'],\n\t'%StringPrototype%': ['String', 'prototype'],\n\t'%SymbolPrototype%': ['Symbol', 'prototype'],\n\t'%SyntaxErrorPrototype%': ['SyntaxError', 'prototype'],\n\t'%TypedArrayPrototype%': ['TypedArray', 'prototype'],\n\t'%TypeErrorPrototype%': ['TypeError', 'prototype'],\n\t'%Uint8ArrayPrototype%': ['Uint8Array', 'prototype'],\n\t'%Uint8ClampedArrayPrototype%': ['Uint8ClampedArray', 'prototype'],\n\t'%Uint16ArrayPrototype%': ['Uint16Array', 'prototype'],\n\t'%Uint32ArrayPrototype%': ['Uint32Array', 'prototype'],\n\t'%URIErrorPrototype%': ['URIError', 'prototype'],\n\t'%WeakMapPrototype%': ['WeakMap', 'prototype'],\n\t'%WeakSetPrototype%': ['WeakSet', 'prototype']\n};\n\nvar bind = require('function-bind');\nvar hasOwn = require('hasown');\nvar $concat = bind.call(Function.call, Array.prototype.concat);\nvar $spliceApply = bind.call(Function.apply, Array.prototype.splice);\nvar $replace = bind.call(Function.call, String.prototype.replace);\nvar $strSlice = bind.call(Function.call, String.prototype.slice);\nvar $exec = bind.call(Function.call, RegExp.prototype.exec);\n\n/* adapted from https://github.com/lodash/lodash/blob/4.17.15/dist/lodash.js#L6735-L6744 */\nvar rePropName = /[^%.[\\]]+|\\[(?:(-?\\d+(?:\\.\\d+)?)|([\"'])((?:(?!\\2)[^\\\\]|\\\\.)*?)\\2)\\]|(?=(?:\\.|\\[\\])(?:\\.|\\[\\]|%$))/g;\nvar reEscapeChar = /\\\\(\\\\)?/g; /** Used to match backslashes in property paths. */\nvar stringToPath = function stringToPath(string) {\n\tvar first = $strSlice(string, 0, 1);\n\tvar last = $strSlice(string, -1);\n\tif (first === '%' && last !== '%') {\n\t\tthrow new $SyntaxError('invalid intrinsic syntax, expected closing `%`');\n\t} else if (last === '%' && first !== '%') {\n\t\tthrow new $SyntaxError('invalid intrinsic syntax, expected opening `%`');\n\t}\n\tvar result = [];\n\t$replace(string, rePropName, function (match, number, quote, subString) {\n\t\tresult[result.length] = quote ? $replace(subString, reEscapeChar, '$1') : number || match;\n\t});\n\treturn result;\n};\n/* end adaptation */\n\nvar getBaseIntrinsic = function getBaseIntrinsic(name, allowMissing) {\n\tvar intrinsicName = name;\n\tvar alias;\n\tif (hasOwn(LEGACY_ALIASES, intrinsicName)) {\n\t\talias = LEGACY_ALIASES[intrinsicName];\n\t\tintrinsicName = '%' + alias[0] + '%';\n\t}\n\n\tif (hasOwn(INTRINSICS, intrinsicName)) {\n\t\tvar value = INTRINSICS[intrinsicName];\n\t\tif (value === needsEval) {\n\t\t\tvalue = doEval(intrinsicName);\n\t\t}\n\t\tif (typeof value === 'undefined' && !allowMissing) {\n\t\t\tthrow new $TypeError('intrinsic ' + name + ' exists, but is not available. Please file an issue!');\n\t\t}\n\n\t\treturn {\n\t\t\talias: alias,\n\t\t\tname: intrinsicName,\n\t\t\tvalue: value\n\t\t};\n\t}\n\n\tthrow new $SyntaxError('intrinsic ' + name + ' does not exist!');\n};\n\nmodule.exports = function GetIntrinsic(name, allowMissing) {\n\tif (typeof name !== 'string' || name.length === 0) {\n\t\tthrow new $TypeError('intrinsic name must be a non-empty string');\n\t}\n\tif (arguments.length > 1 && typeof allowMissing !== 'boolean') {\n\t\tthrow new $TypeError('\"allowMissing\" argument must be a boolean');\n\t}\n\n\tif ($exec(/^%?[^%]*%?$/, name) === null) {\n\t\tthrow new $SyntaxError('`%` may not be present anywhere but at the beginning and end of the intrinsic name');\n\t}\n\tvar parts = stringToPath(name);\n\tvar intrinsicBaseName = parts.length > 0 ? parts[0] : '';\n\n\tvar intrinsic = getBaseIntrinsic('%' + intrinsicBaseName + '%', allowMissing);\n\tvar intrinsicRealName = intrinsic.name;\n\tvar value = intrinsic.value;\n\tvar skipFurtherCaching = false;\n\n\tvar alias = intrinsic.alias;\n\tif (alias) {\n\t\tintrinsicBaseName = alias[0];\n\t\t$spliceApply(parts, $concat([0, 1], alias));\n\t}\n\n\tfor (var i = 1, isOwn = true; i < parts.length; i += 1) {\n\t\tvar part = parts[i];\n\t\tvar first = $strSlice(part, 0, 1);\n\t\tvar last = $strSlice(part, -1);\n\t\tif (\n\t\t\t(\n\t\t\t\t(first === '\"' || first === \"'\" || first === '`')\n\t\t\t\t|| (last === '\"' || last === \"'\" || last === '`')\n\t\t\t)\n\t\t\t&& first !== last\n\t\t) {\n\t\t\tthrow new $SyntaxError('property names with quotes must have matching quotes');\n\t\t}\n\t\tif (part === 'constructor' || !isOwn) {\n\t\t\tskipFurtherCaching = true;\n\t\t}\n\n\t\tintrinsicBaseName += '.' + part;\n\t\tintrinsicRealName = '%' + intrinsicBaseName + '%';\n\n\t\tif (hasOwn(INTRINSICS, intrinsicRealName)) {\n\t\t\tvalue = INTRINSICS[intrinsicRealName];\n\t\t} else if (value != null) {\n\t\t\tif (!(part in value)) {\n\t\t\t\tif (!allowMissing) {\n\t\t\t\t\tthrow new $TypeError('base intrinsic for ' + name + ' exists, but the property is not available.');\n\t\t\t\t}\n\t\t\t\treturn void undefined;\n\t\t\t}\n\t\t\tif ($gOPD && (i + 1) >= parts.length) {\n\t\t\t\tvar desc = $gOPD(value, part);\n\t\t\t\tisOwn = !!desc;\n\n\t\t\t\t// By convention, when a data property is converted to an accessor\n\t\t\t\t// property to emulate a data property that does not suffer from\n\t\t\t\t// the override mistake, that accessor's getter is marked with\n\t\t\t\t// an `originalValue` property. Here, when we detect this, we\n\t\t\t\t// uphold the illusion by pretending to see that original data\n\t\t\t\t// property, i.e., returning the value rather than the getter\n\t\t\t\t// itself.\n\t\t\t\tif (isOwn && 'get' in desc && !('originalValue' in desc.get)) {\n\t\t\t\t\tvalue = desc.get;\n\t\t\t\t} else {\n\t\t\t\t\tvalue = value[part];\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\tisOwn = hasOwn(value, part);\n\t\t\t\tvalue = value[part];\n\t\t\t}\n\n\t\t\tif (isOwn && !skipFurtherCaching) {\n\t\t\t\tINTRINSICS[intrinsicRealName] = value;\n\t\t\t}\n\t\t}\n\t}\n\treturn value;\n};\n","'use strict';\nvar wellKnownSymbol = require('../internals/well-known-symbol');\n\nvar TO_STRING_TAG = wellKnownSymbol('toStringTag');\nvar test = {};\n\ntest[TO_STRING_TAG] = 'z';\n\nmodule.exports = String(test) === '[object z]';\n","export * from \"-!../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./WhatsNew.vue?vue&type=style&index=0&id=21e9af10&prod&lang=scss\"","export * from \"-!../../../../node_modules/vue-style-loader/index.js??ref--7-oneOf-1-0!../../../../node_modules/css-loader/dist/cjs.js??ref--7-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--7-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--7-oneOf-1-3!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./SmallDetailsLoader.vue?vue&type=style&index=0&id=2c7c02d0&prod&lang=css\"","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".text-panel[data-v-90b8cca0]{padding:0 20px 10px 16px;border-bottom:1px solid #d3d3d3;font-size:12px}.text-panel__actions[data-v-90b8cca0]{display:flex}.text-panel__actions[data-v-90b8cca0]>:not(:first-child){margin-left:10px}.text-panel__title[data-v-90b8cca0]{padding:10px 0;font-size:12px}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","import { getSmallDetailsValidatorColor } from '@/components/SmallDetails';\r\nimport { ProductPrintPositionAddModel } from '@/typings';\r\nimport { AnnotationShape } from '@/web-components/import-wizard-v2/typings/common';\r\nimport { NotificationResult } from '@/web-components/import-wizard-v2/typings/notification';\r\nimport { ProductPrintData } from '@midocean/webapps-shared-domain';\r\n\r\nexport function getCommercialRemarkNotifications(\r\n  unavailablePrintPositions: ProductPrintPositionAddModel[],\r\n  productPrintData: ProductPrintData\r\n): NotificationResult[] {\r\n  const remarkNotifications: NotificationResult[] = [];\r\n\r\n  for (const position of unavailablePrintPositions) {\r\n    const printPostion = productPrintData.productPrintPositions?.find(\r\n      (p) => p.id === position.positionId\r\n    );\r\n\r\n    const printTechnique = printPostion?.printTechniques.find((technique) => {\r\n      return technique.id === position.technique.id;\r\n    });\r\n\r\n    if (printPostion && printTechnique) {\r\n      const hasCommercialRemarks =\r\n        (printTechnique.commercialRemarksCodes &&\r\n          printTechnique.commercialRemarksCodes.length > 0) ||\r\n        (printTechnique.printTechnique.group.commercialRemarksCodes &&\r\n          printTechnique.printTechnique.group.commercialRemarksCodes.length >\r\n            0);\r\n\r\n      if (hasCommercialRemarks) {\r\n        const groupRemarksCodes =\r\n          printTechnique.printTechnique.group.commercialRemarksCodes || [];\r\n        const techniqueRemarksCodes =\r\n          printTechnique.commercialRemarksCodes || [];\r\n\r\n        const uniqueCommertialCodes = [\r\n          ...new Set(groupRemarksCodes.concat(techniqueRemarksCodes)),\r\n        ];\r\n\r\n        for (const code of uniqueCommertialCodes) {\r\n          if (code) {\r\n            remarkNotifications.push({\r\n              validatorColor: 'Orange',\r\n              validatorName: 'commercialRemark',\r\n              printPositionName: printPostion.name,\r\n              message: code.trim(),\r\n            });\r\n          }\r\n        }\r\n      }\r\n    }\r\n  }\r\n\r\n  return remarkNotifications;\r\n}\r\n\r\nexport function getEmptyPositionNotifications(\r\n  unavailablePrintPositions: ProductPrintPositionAddModel[],\r\n  positionShapeMap: Record<string, string>[]\r\n): NotificationResult[] {\r\n  const emptyPositionNotifications: NotificationResult[] = [];\r\n\r\n  for (const position of unavailablePrintPositions) {\r\n    const hasShapes = positionShapeMap.some(\r\n      (x) => x.id === position.positionId\r\n    );\r\n    if (!hasShapes) {\r\n      emptyPositionNotifications.push({\r\n        validatorColor: 'Red',\r\n        validatorName: 'emptyPrintPosition',\r\n        message: '',\r\n        printPositionName: position.positionName,\r\n      });\r\n    }\r\n  }\r\n\r\n  return emptyPositionNotifications;\r\n}\r\n\r\nexport function getSmallDetailsNotifications(\r\n  shapes: AnnotationShape[],\r\n  positionShapeMap: Record<string, string>[],\r\n  unavailablePrintPositions: ProductPrintPositionAddModel[]\r\n): NotificationResult[] {\r\n  const smallDetailsNotifications: NotificationResult[] = [];\r\n\r\n  for (const shape of shapes) {\r\n    if (\r\n      shape.smallDetailsResult &&\r\n      shape.smallDetailsResult.status !== 'NoCheck'\r\n    ) {\r\n      const positionId = positionShapeMap.find(\r\n        (x) => x.logoId === shape.id\r\n      )?.id;\r\n      const position = unavailablePrintPositions.find(\r\n        (x) => x.positionId === positionId\r\n      );\r\n      if (position) {\r\n        smallDetailsNotifications.push({\r\n          validatorColor: getSmallDetailsValidatorColor(\r\n            shape.smallDetailsResult.status\r\n          ),\r\n          validatorName: 'smallDetails',\r\n          shapeId: shape.id,\r\n          printPositionName: position.positionName,\r\n          message: '',\r\n        });\r\n      }\r\n    }\r\n  }\r\n  return smallDetailsNotifications;\r\n}\r\n\r\nexport function getOutOfBoundariesNotifications(\r\n  shapes: AnnotationShape[],\r\n  positionShapeMap: Record<string, string>[],\r\n  positions: ProductPrintPositionAddModel[]\r\n): NotificationResult[] {\r\n  const outOfBoundariesNotifications: NotificationResult[] = [];\r\n\r\n  for (const shape of shapes) {\r\n    if (!shape.isInArea) {\r\n      const positionId = positionShapeMap.find(\r\n        (psm) => psm.logoId === shape.id\r\n      )?.id;\r\n      const position = positions.find((x) => x.positionId === positionId);\r\n      if (position) {\r\n        outOfBoundariesNotifications.push({\r\n          validatorName: 'outOfBoundaries',\r\n          validatorColor: 'Red',\r\n          shapeId: shape.id,\r\n          printPositionName: position.positionName,\r\n          message: '',\r\n        });\r\n      }\r\n    }\r\n  }\r\n  return outOfBoundariesNotifications;\r\n}\r\n","import { FileTypeValidatorConfiguration } from '../index';\r\nimport _last from 'lodash.last';\r\nimport { AnnotationShape } from '../../typings/common';\r\nimport { NotificationResult } from '../../typings/notification';\r\n\r\nexport const fileTypeValidator = (\r\n  validatorConfiguration: string,\r\n  shape: AnnotationShape,\r\n  printPositionName: string\r\n): NotificationResult | undefined => {\r\n  const validatorName = 'fileTypeValidator';\r\n  const vectorFileValidatorName = 'vectorFileValidator';\r\n\r\n  let {\r\n    validFileExtensions,\r\n    // eslint-disable-next-line prefer-const\r\n    isTrueVectorFile,\r\n  }: FileTypeValidatorConfiguration = JSON.parse(validatorConfiguration);\r\n\r\n  if (validFileExtensions.length > 0) {\r\n    validFileExtensions = validFileExtensions.map((name) => name.toLowerCase());\r\n  }\r\n\r\n  if (shape.kind === 'Logo') {\r\n    const { fileName, isVectorFileTrueVectorFile } = shape;\r\n    const partsOfFileName: string[] = fileName?.split('.') as string[];\r\n    let fileExtension = '.' + _last(partsOfFileName);\r\n\r\n    if (fileExtension !== undefined) {\r\n      fileExtension = fileExtension.toLowerCase();\r\n    }\r\n\r\n    const isValidFileExtension: boolean =\r\n      fileExtension === undefined\r\n        ? false\r\n        : validFileExtensions.includes(fileExtension);\r\n\r\n    if (\r\n      fileExtension === '.ai' ||\r\n      fileExtension === '.svg' ||\r\n      fileExtension === '.pdf' ||\r\n      fileExtension === '.eps'\r\n    ) {\r\n      const isTrueVectorFileResult = isTrueVectorFile\r\n        ? isVectorFileTrueVectorFile\r\n        : true;\r\n\r\n      return {\r\n        shapeId: shape.id,\r\n        validatorName:\r\n          isValidFileExtension && !isVectorFileTrueVectorFile\r\n            ? vectorFileValidatorName\r\n            : validatorName,\r\n        validatorColor:\r\n          isValidFileExtension && isTrueVectorFileResult ? 'Green' : 'Red',\r\n        message: validFileExtensions.join(',').replaceAll('.', ''),\r\n        printPositionName,\r\n      };\r\n    }\r\n\r\n    return {\r\n      shapeId: shape.id,\r\n      validatorName,\r\n      validatorColor: isValidFileExtension ? 'Green' : 'Red',\r\n      message: validFileExtensions.join(',').replaceAll('.', ''),\r\n      printPositionName,\r\n    };\r\n  }\r\n\r\n  return undefined;\r\n};\r\n","import { AnnotationShape } from '../../typings/common';\r\nimport { NotificationResult, ValidatorColor } from '../../typings/notification';\r\nimport { ResolutionValue } from '../configuration';\r\n\r\nexport const resolutionValidator = (\r\n  validatorConfiguration: string,\r\n  shape: AnnotationShape,\r\n  printPositionName: string\r\n): NotificationResult | undefined => {\r\n  const validatorName = 'resolutionValidator';\r\n\r\n  const resolutionColorsValues: ResolutionValue[] = JSON.parse(\r\n    validatorConfiguration\r\n  );\r\n  if (shape.kind === 'Logo') {\r\n    const { pngHorizontalResolutionDPIs, pngVerticalResolutionDPIs } = shape;\r\n\r\n    const lowerDPI =\r\n      pngHorizontalResolutionDPIs <= pngVerticalResolutionDPIs\r\n        ? pngHorizontalResolutionDPIs\r\n        : pngVerticalResolutionDPIs;\r\n\r\n    let color: ValidatorColor = 'Green';\r\n\r\n    for (const range of resolutionColorsValues) {\r\n      if (lowerDPI >= range.minDPI && lowerDPI <= range.maxDPI) {\r\n        color = convertRangeToColor(range);\r\n        return;\r\n      }\r\n\r\n      if (\r\n        pngHorizontalResolutionDPIs > range.maxDPI &&\r\n        pngVerticalResolutionDPIs > range.maxDPI\r\n      ) {\r\n        color = 'Red';\r\n        return;\r\n      }\r\n    }\r\n\r\n    return {\r\n      shapeId: shape.id,\r\n      printPositionName,\r\n      validatorName,\r\n      validatorColor: color,\r\n      message: '',\r\n    };\r\n  }\r\n};\r\n\r\nconst convertRangeToColor = (range: ResolutionValue): ValidatorColor => {\r\n  if (range.color.toLowerCase() === 'red') {\r\n    return 'Red';\r\n  }\r\n\r\n  if (range.color.toLowerCase() === 'green') {\r\n    return 'Green';\r\n  }\r\n\r\n  if (range.color.toLowerCase() === 'orange') {\r\n    return 'Orange';\r\n  }\r\n\r\n  return 'Green';\r\n};\r\n","import { PmsColor } from '@midocean/webapps-shared-domain';\r\nimport { AnnotationShape } from '../../typings/common';\r\nimport { NotificationResult, ValidatorColor } from '../../typings/notification';\r\n\r\nexport const spotColorsValidator = (\r\n  shape: AnnotationShape,\r\n  printPositionName: string\r\n): NotificationResult | undefined => {\r\n  const validatorName = 'spotColorsValidator';\r\n\r\n  if (shape.kind === 'Logo') {\r\n    const { pmsColorsInPngFile } = shape;\r\n\r\n    const nonOriginalSpotColorsDetected = pmsColorsInPngFile.filter(\r\n      (p) => p.isOriginalSpotColor === false\r\n    ) as PmsColor[];\r\n\r\n    const validatorColor: ValidatorColor =\r\n      nonOriginalSpotColorsDetected.length > 0 ? 'Red' : 'Green';\r\n\r\n    return {\r\n      shapeId: shape.id,\r\n      validatorColor,\r\n      validatorName,\r\n      printPositionName,\r\n      message: '',\r\n    };\r\n  }\r\n};\r\n","import { PmsColor } from '@midocean/webapps-shared-domain';\r\nimport { AnnotationShape } from '../../typings/common';\r\nimport { NotificationResult } from '../../typings/notification';\r\n\r\nexport const maxNumberOfColoursValidator = (\r\n  shapes: AnnotationShape[],\r\n  maximumColors: number,\r\n  printPositionName: string,\r\n  checkColors: boolean\r\n): NotificationResult => {\r\n  const validatorName = 'maxNumberOfColoursValidator';\r\n\r\n  if (checkColors) {\r\n    const coloursToValidate = [];\r\n\r\n    for (const shape of shapes) {\r\n      if (shape.kind === 'Logo' && shape.pmsColorsInPngFile) {\r\n        const { pmsColorsInPngFile } = shape;\r\n        coloursToValidate.push(...pmsColorsInPngFile);\r\n      } else if (shape.kind === 'Text') {\r\n        coloursToValidate.push({\r\n          name: shape.w2pText.colorName,\r\n          red: shape.w2pText.color[0],\r\n          green: shape.w2pText.color[1],\r\n          blue: shape.w2pText.color[2],\r\n        } as PmsColor);\r\n      }\r\n    }\r\n\r\n    const coloursWithoutDuplicates = [\r\n      ...new Set(coloursToValidate.map((item) => item.name)),\r\n    ];\r\n\r\n    if (coloursWithoutDuplicates.length > maximumColors) {\r\n      return {\r\n        printPositionName,\r\n        validatorName,\r\n        validatorColor: 'Red',\r\n        message: '',\r\n      };\r\n    }\r\n  }\r\n\r\n  return {\r\n    printPositionName,\r\n    validatorName,\r\n    validatorColor: 'Green',\r\n    message: '',\r\n  };\r\n};\r\n","import {\r\n  fileTypeValidator,\r\n  maxNumberOfColoursValidator,\r\n  spotColorsValidator,\r\n  resolutionValidator,\r\n} from './index';\r\nimport { ProductPrintPositionAddModel } from '@/typings';\r\nimport { ProductPrintData } from '@midocean/webapps-shared-domain';\r\nimport { AnnotationShape } from '../typings/common';\r\nimport { useStore as useProductStore } from '@/stores/v2/product';\r\nimport { NotificationResult } from '../typings/notification';\r\n\r\nexport const constructArtworkValidationPipeline = (\r\n  productPrintData: ProductPrintData,\r\n  selectedPrintPositions: ProductPrintPositionAddModel[],\r\n  shapes: AnnotationShape[],\r\n  positionShapeMap: Record<string, string>[]\r\n): NotificationResult[] => {\r\n  const results = [];\r\n\r\n  for (const shape of shapes) {\r\n    if (shape.kind === 'Logo') {\r\n      const shapePositionId = positionShapeMap.find(\r\n        (x) => x.logoId === shape.id\r\n      );\r\n      if (shapePositionId && shapePositionId.id) {\r\n        const productPrintPosition =\r\n          productPrintData.productPrintPositions.find(\r\n            (x) => x.id === shapePositionId.id\r\n          );\r\n        if (productPrintPosition) {\r\n          const selectedTechniqueId = selectedPrintPositions.find(\r\n            (x) => x.positionId === productPrintPosition.id\r\n          )?.technique.id;\r\n          const printTechnique = productPrintPosition.printTechniques.find(\r\n            (x) => x.id === selectedTechniqueId\r\n          );\r\n          if (printTechnique) {\r\n            for (const logoValidator of printTechnique.logoValidators) {\r\n              if (logoValidator.type.trim() === 'FileType') {\r\n                results.push(\r\n                  fileTypeValidator(\r\n                    logoValidator.configuration,\r\n                    shape,\r\n                    productPrintPosition.name\r\n                  )\r\n                );\r\n              }\r\n\r\n              if (\r\n                logoValidator.type.trim() === 'Resolution' &&\r\n                shape.kind === 'Logo' &&\r\n                !shape.isVectorFileTrueVectorFile &&\r\n                shape.pngHorizontalResolutionDPIs &&\r\n                shape.pngVerticalResolutionDPIs\r\n              ) {\r\n                results.push(\r\n                  resolutionValidator(\r\n                    logoValidator.configuration,\r\n                    shape,\r\n                    productPrintPosition.name\r\n                  )\r\n                );\r\n              }\r\n\r\n              if (logoValidator.type.trim() === 'SpotColorsIncluded') {\r\n                results.push(\r\n                  spotColorsValidator(shape, productPrintPosition.id)\r\n                );\r\n              }\r\n            }\r\n          }\r\n        }\r\n      }\r\n    }\r\n  }\r\n\r\n  for (const position of selectedPrintPositions) {\r\n    const productPrintPosition = productPrintData.productPrintPositions.find(\r\n      (x) => x.id === position.positionId\r\n    );\r\n    if (productPrintPosition) {\r\n      const selectedTechniqueId = selectedPrintPositions.find(\r\n        (x) => x.positionId === productPrintPosition.id\r\n      )?.technique.id;\r\n      const printTechnique = productPrintPosition.printTechniques.find(\r\n        (x) => x.id === selectedTechniqueId\r\n      );\r\n      if (printTechnique) {\r\n        const positionShapes = shapes.filter((x) =>\r\n          positionShapeMap.some(\r\n            (psm) => psm.id === position.positionId && psm.logoId === x.id\r\n          )\r\n        );\r\n\r\n        if (positionShapes.length > 0) {\r\n          const productStore = useProductStore();\r\n          const doCheckMaxColors =\r\n            productStore.isFullColor(position.positionId) ||\r\n            productStore.isDebossingTechnique(position.positionId) ||\r\n            productStore.isLaserConverter(position.positionId);\r\n\r\n          results.push(\r\n            maxNumberOfColoursValidator(\r\n              positionShapes,\r\n              printTechnique.maximumColours,\r\n              position.positionName,\r\n              !doCheckMaxColors\r\n            )\r\n          );\r\n        }\r\n      }\r\n    }\r\n  }\r\n\r\n  return results.filter((x): x is NotificationResult => x !== undefined);\r\n};\r\n","import { defineStore } from 'pinia';\r\nimport { useStore as useProductStore } from './product';\r\nimport { useStore as useShapeStore } from './shape';\r\nimport {\r\n  getCommercialRemarkNotifications,\r\n  getEmptyPositionNotifications,\r\n  getOutOfBoundariesNotifications,\r\n  getSmallDetailsNotifications,\r\n} from '@/utils/validationHelper';\r\nimport { constructArtworkValidationPipeline } from '@/web-components/import-wizard-v2/validators';\r\nimport { NotificationResult } from '@/web-components/import-wizard-v2/typings/notification';\r\nimport { NotificationSnapshot } from '@/typings/historyV2';\r\n\r\nexport const useStore = defineStore({\r\n  id: 'notification',\r\n\r\n  state: () => {\r\n    return {\r\n      notifications: [] as NotificationResult[],\r\n    };\r\n  },\r\n  getters: {\r\n    hasWarningNotifications: (state): boolean => {\r\n      return (\r\n        state.notifications.filter((x) => x.validatorColor === 'Orange')\r\n          .length > 0\r\n      );\r\n    },\r\n    hasRedNotifications: (state): boolean => {\r\n      return (\r\n        state.notifications.filter((x) => x.validatorColor === 'Red').length > 0\r\n      );\r\n    },\r\n    redAndOrangeNotifications: (state): NotificationResult[] => {\r\n      const validatorColorOrder = ['Red', 'Orange'];\r\n      return state.notifications\r\n        .filter(\r\n          (x) => x.validatorColor === 'Orange' || x.validatorColor === 'Red'\r\n        )\r\n        .sort(\r\n          (a, b) =>\r\n            validatorColorOrder.indexOf(a.validatorColor) -\r\n            validatorColorOrder.indexOf(b.validatorColor)\r\n        );\r\n    },\r\n  },\r\n  actions: {\r\n    runValidators() {\r\n      // reset notifications and run all validators\r\n      this.notifications = [];\r\n\r\n      const productStore = useProductStore();\r\n      const shapeStore = useShapeStore();\r\n\r\n      const commertialRemarkNotifications = getCommercialRemarkNotifications(\r\n        productStore.unavailablePrintPositions,\r\n        productStore.data\r\n      );\r\n\r\n      const pipelineNotifications = constructArtworkValidationPipeline(\r\n        productStore.data,\r\n        productStore.unavailablePrintPositions,\r\n        shapeStore.shapes,\r\n        shapeStore.positionShapeMap\r\n      );\r\n\r\n      const emptyPositionNotifications = getEmptyPositionNotifications(\r\n        productStore.unavailablePrintPositions,\r\n        shapeStore.positionShapeMap\r\n      );\r\n\r\n      const smallDetailsNotifications = getSmallDetailsNotifications(\r\n        shapeStore.shapes,\r\n        shapeStore.positionShapeMap,\r\n        productStore.unavailablePrintPositions\r\n      );\r\n\r\n      const outOfBoundariesNotifications = getOutOfBoundariesNotifications(\r\n        shapeStore.shapes,\r\n        shapeStore.positionShapeMap,\r\n        productStore.unavailablePrintPositions\r\n      );\r\n\r\n      this.notifications = [\r\n        ...commertialRemarkNotifications,\r\n        ...pipelineNotifications,\r\n        ...emptyPositionNotifications,\r\n        ...smallDetailsNotifications,\r\n        ...outOfBoundariesNotifications,\r\n      ];\r\n    },\r\n    updateNotificationStateFromSnapshot(snapshot: NotificationSnapshot) {\r\n      this.$patch((state) => {\r\n        if (snapshot !== undefined) {\r\n          state.notifications = snapshot.notifications;\r\n        }\r\n      });\r\n    },\r\n  },\r\n});\r\n","const defaultTextTemplate = {\r\n  id: '',\r\n  x: 0,\r\n  y: 0,\r\n  width: 1000,\r\n  height: 500,\r\n  w2pText: {\r\n    text: '',\r\n    textAlign: 'left',\r\n    fontWeight: 'normal',\r\n    fontStyle: 'normal',\r\n    fontFamily: 'Roboto',\r\n    fontSize: 116.676,\r\n    fontSizePT: 22,\r\n    colorName: 'Pure White',\r\n    color: [255, 255, 255], // must be one of valid pantone color values\r\n  },\r\n  isSelected: false,\r\n  isInArea: true,\r\n  disableInput: true, // NOTE: prevents internal text editor from appearing on double click\r\n  disableResize: true,\r\n  rotation: 0,\r\n  backgroundImage: '',\r\n  backgroundColor: [0, 0, 0, 0],\r\n};\r\n\r\nconst defaultTextTemplateV2 = {\r\n  id: '',\r\n  x: 0,\r\n  y: 0,\r\n  width: 1000,\r\n  height: 500,\r\n  w2pText: {\r\n    text: '',\r\n    textAlign: 'left',\r\n    fontWeight: 'normal',\r\n    fontStyle: 'normal',\r\n    fontFamily: 'Roboto',\r\n    fontSize: 116.676,\r\n    fontSizePT: 22,\r\n    colorName: 'Pure Black',\r\n    color: [0, 0, 0], // must be one of valid pantone color values\r\n  },\r\n  isSelected: false,\r\n  isInArea: true,\r\n  disableInput: true, // NOTE: prevents internal text editor from appearing on double click\r\n  disableResize: true,\r\n  rotation: 0,\r\n  backgroundImage: '',\r\n  backgroundColor: [0, 0, 0, 0],\r\n};\r\n\r\nexport { defaultTextTemplate, defaultTextTemplateV2 };\r\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".cv-button[data-v-78b1d6a6]:active,.cv-button[data-v-78b1d6a6]:focus,.cv-button[data-v-78b1d6a6]:hover{outline:none!important;background:#e0e0e0!important;border:none!important}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","export * from \"-!../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./SearchArtworks.vue?vue&type=style&index=0&id=798e296b&prod&lang=scss&scoped=true\"","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./TotalPricing.vue?vue&type=style&index=0&id=82c49b48&prod&lang=scss\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"bb27397e\", content, shadowRoot)\n};","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".small-detail-confirmation .bx--checkbox-label-text{font-size:14px!important}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","export * from \"-!../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./CommercialRemarkNotification.vue?vue&type=style&index=0&id=11556acc&prod&lang=scss\"","export * from \"-!../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PrintPositionsManagerFooter.vue?vue&type=style&index=0&id=b6ae7dba&prod&lang=scss\"","/*!\n* Pintura v8.60.15 \n* (c) 2018-2023 PQINA Inc. - All Rights Reserved\n* License: https://pqina.nl/pintura/license/\n*/\n/* eslint-disable */\n\nconst JFIF_MARKER = 0xffe0;\nconst EXIF_MARKER = 0xffe1;\nconst SOS_MARKER = 0xffda;\nconst XMP_MARKER = 0xffe1;\nconst MPF_MARKER = 0xffe2;\nconst Markers = [\n    { value: JFIF_MARKER, name: 'jfif' },\n    { value: SOS_MARKER, name: 'sos' },\n    { value: EXIF_MARKER, subvalue: 0x4578, name: 'exif' },\n    { value: XMP_MARKER, subvalue: 0x6874, name: 'xmp' },\n    { value: MPF_MARKER, subvalue: 0x4d50, name: 'mpf' },\n];\nconst JPEG_SOI_MARKER = 0xffd8; // start of JPEG\nconst JPEG_MARKER_PREFIX = 0xff;\nvar dataViewGetApplicationMarkers = (view) => {\n    // If no SOI marker exit here because we're not going to find the APP1 header in a non-jpeg file\n    if (view.getUint16(0) !== JPEG_SOI_MARKER)\n        return undefined;\n    const length = view.byteLength; // cache the length here\n    let offset = 2; // start at 2 as we skip the SOI marker\n    let marker; // this will hold the current marker\n    // resulting markers\n    let res = undefined;\n    while (offset < length) {\n        // test if marker is valid JPEG marker (starts with ff)\n        if (view.getUint8(offset) !== JPEG_MARKER_PREFIX)\n            break;\n        // let's read the full marker\n        marker = view.getUint16(offset);\n        // read marker if included in marker types\n        const markerDescription = Markers.find((descriptor) => {\n            if (descriptor.value === marker) {\n                if (descriptor.subvalue)\n                    return descriptor.subvalue === view.getUint16(offset + 2 + 2);\n                return true;\n            }\n            return false;\n        });\n        if (markerDescription) {\n            const { name } = markerDescription;\n            if (!res)\n                res = {};\n            // prevent overwriting by double markers\n            if (!res[name]) {\n                res[name] = {\n                    offset,\n                    size: view.getUint16(offset + 2),\n                };\n            }\n        }\n        // Image stream starts here, no markers found\n        if (marker === SOS_MARKER)\n            break;\n        // next offset is 2 to skip over marker type and then we add marker data size to skip to next marker\n        offset += 2 + view.getUint16(offset + 2);\n    }\n    // no APP markers found\n    return res;\n};\n\nconst APP1_MARKER = 0xffe1;\nconst APP1_EXIF_IDENTIFIER = 0x45786966;\nconst TIFF_MARKER = 0x002a;\nconst BYTE_ALIGN_MOTOROLA = 0x4d4d;\nconst BYTE_ALIGN_INTEL = 0x4949;\n// offset = start of APP1_MARKER\nvar dataViewGetExifTags = (view, offset) => {\n    // If no APP1 marker exit here because we're not going to find the EXIF id header outside of APP1\n    if (view.getUint16(offset) !== APP1_MARKER)\n        return undefined;\n    // get marker size\n    const size = view.getUint16(offset + 2); // 14197\n    // Let's skip over app1 marker and size marker (2 + 2 bytes)\n    offset += 4;\n    // We're now at the EXIF header marker (we'll only check the first 4 bytes, reads \"exif\"), if not there, exit\n    if (view.getUint32(offset) !== APP1_EXIF_IDENTIFIER)\n        return undefined;\n    // Let's skip over 6 byte EXIF marker\n    offset += 6;\n    // Read byte alignment\n    const byteAlignment = view.getUint16(offset);\n    if (byteAlignment !== BYTE_ALIGN_INTEL && byteAlignment !== BYTE_ALIGN_MOTOROLA)\n        return undefined;\n    const storedAsLittleEndian = byteAlignment === BYTE_ALIGN_INTEL;\n    // Skip over byte alignment\n    offset += 2;\n    // Test if valid tiff marker data, should always be 0x002a\n    if (view.getUint16(offset, storedAsLittleEndian) !== TIFF_MARKER)\n        return undefined;\n    // Skip to first IDF, position of IDF is read after tiff marker (offset 2)\n    offset += view.getUint32(offset + 2, storedAsLittleEndian);\n    // helper method to find tag offset by marker\n    const getTagOffsets = (marker) => {\n        const offsets = [];\n        let i = offset;\n        const max = Math.min(view.byteLength, offset + size - 16);\n        for (; i < max; i += 12) {\n            const tagOffset = i;\n            // see if is match, if not, next entry\n            if (view.getUint16(tagOffset, storedAsLittleEndian) !== marker)\n                continue;\n            // add offset\n            offsets.push(tagOffset);\n        }\n        return offsets;\n    };\n    return {\n        read: (address) => {\n            const tagOffsets = getTagOffsets(address);\n            if (!tagOffsets.length)\n                return undefined;\n            // only return first found tag\n            return view.getUint16(tagOffsets[0] + 8, storedAsLittleEndian);\n        },\n        write: (address, value) => {\n            const tagOffsets = getTagOffsets(address);\n            if (!tagOffsets.length)\n                return false;\n            // overwrite all found tags (sometimes images can have multiple tags with the same value, let's make sure they're all set)\n            tagOffsets.forEach((offset) => view.setUint16(offset + 8, value, storedAsLittleEndian));\n            return true;\n        },\n    };\n};\n\nconst ORIENTATION_TAG = 0x0112;\nvar arrayBufferImageExif = (data, key, value) => {\n    // no data, no go!\n    if (!data)\n        return;\n    const view = new DataView(data);\n    // Get app1 header offset\n    const markers = dataViewGetApplicationMarkers(view);\n    if (!markers || !markers.exif)\n        return;\n    // Get EXIF tags read/writer\n    const tags = dataViewGetExifTags(view, markers.exif.offset);\n    if (!tags)\n        return;\n    // Read the exif orientation marker\n    return value === undefined ? tags.read(key) : tags.write(key, value);\n};\n\nconst backup = '__pqina_webapi__';\nvar getNativeAPIRef = (API) => (window[backup] ? window[backup][API] : window[API]);\n\nvar noop$1 = (...args) => { };\n\nconst FileReaderDataFormat = {\n    ArrayBuffer: 'readAsArrayBuffer',\n};\nvar readFile = (file, onprogress = noop$1, options = {}) => new Promise((resolve, reject) => {\n    const { dataFormat = FileReaderDataFormat.ArrayBuffer } = options;\n    const reader = new (getNativeAPIRef('FileReader'))();\n    reader.onload = () => resolve(reader.result);\n    reader.onerror = () => reject(reader.error);\n    reader.onprogress = onprogress;\n    reader[dataFormat](file);\n});\n\nvar blobReadSection = async (blob, slice = [0, blob.size], onprogress) => (await readFile(blob.slice(...slice), onprogress));\n\nvar getImageOrientationFromFile = async (file, onprogress) => {\n    // 64 * 4096 should be plenty to find extract header\n    // Exif metadata are restricted in size to 64 kB in JPEG images because\n    // according to the specification this information must be contained within a single JPEG APP1 segment.\n    const head = await blobReadSection(file, [0, 64 * 4096], onprogress);\n    return arrayBufferImageExif(head, ORIENTATION_TAG) || 1;\n};\n\nlet result$c = null;\nvar isBrowser = () => {\n    if (result$c === null)\n        result$c = typeof window !== 'undefined' && typeof window.document !== 'undefined';\n    return result$c;\n};\n\nlet result$b = null;\nvar canOrientImages = () => new Promise((resolve) => {\n    if (result$b === null) {\n        // 2x1 pixel image 90CW rotated with orientation EXIF header\n        const testSrc = 'data:image/jpeg;base64,/9j/4AAQSkZJRgABAQEASABIAAD/4QA6RXhpZgAATU0AKgAAAAgAAwESAAMAAAABAAYAAAEoAAMAAAABAAIAAAITAAMAAAABAAEAAAAAAAD/2wBDAP//////////////////////////////////////////////////////////////////////////////////////wAALCAABAAIBASIA/8QAJgABAAAAAAAAAAAAAAAAAAAAAxABAAAAAAAAAAAAAAAAAAAAAP/aAAgBAQAAPwBH/9k=';\n        let testImage = isBrowser() ? new Image() : {};\n        testImage.onload = () => {\n            // should correct orientation if is presented in landscape,\n            // in which case the browser doesn't autocorrect\n            result$b = testImage.naturalWidth === 1;\n            testImage = undefined;\n            resolve(result$b);\n        };\n        testImage.src = testSrc;\n        return;\n    }\n    return resolve(result$b);\n});\n\nvar canvasToImageData = (canvas) => {\n    const imageData = canvas\n        .getContext('2d')\n        .getImageData(0, 0, canvas.width, canvas.height);\n    return imageData;\n};\n\nvar h = (name, attributes, children = []) => {\n    const el = document.createElement(name);\n    // @ts-ignore\n    const descriptors = Object.getOwnPropertyDescriptors(el.__proto__);\n    for (const key in attributes) {\n        if (key === 'style') {\n            el.style.cssText = attributes[key];\n        }\n        else if ((descriptors[key] && descriptors[key].set) ||\n            /textContent|innerHTML/.test(key) ||\n            typeof attributes[key] === 'function') {\n            el[key] = attributes[key];\n        }\n        else {\n            el.setAttribute(key, attributes[key]);\n        }\n    }\n    children.forEach((child) => el.appendChild(child));\n    return el;\n};\n\nconst MATRICES = {\n    1: () => [1, 0, 0, 1, 0, 0],\n    2: (width) => [-1, 0, 0, 1, width, 0],\n    3: (width, height) => [-1, 0, 0, -1, width, height],\n    4: (width, height) => [1, 0, 0, -1, 0, height],\n    5: () => [0, 1, 1, 0, 0, 0],\n    6: (width, height) => [0, 1, -1, 0, height, 0],\n    7: (width, height) => [0, -1, -1, 0, height, width],\n    8: (width) => [0, -1, 1, 0, 0, width],\n};\nvar getImageOrientationMatrix = (width, height, orientation = -1) => {\n    if (orientation === -1)\n        orientation = 1;\n    return MATRICES[orientation](width, height);\n};\n\nvar releaseCanvas = (canvas) => {\n    canvas.width = 1;\n    canvas.height = 1;\n    const ctx = canvas.getContext('2d');\n    ctx && ctx.clearRect(0, 0, 1, 1);\n};\n\nvar isImageData = (obj) => 'data' in obj;\n\nvar isUserAgent = (test) => isBrowser() ? RegExp(test).test(window.navigator.userAgent) : undefined;\n\nlet result$a = null;\nvar isAndroid = () => {\n    if (result$a === null)\n        result$a = isUserAgent(/Android/);\n    return result$a;\n};\n\nvar canvasClone = (canvas, options) => {\n    const clone = h('canvas', { width: canvas.width, height: canvas.height });\n    clone.getContext('2d', options).drawImage(canvas, 0, 0);\n    return clone;\n};\n\nvar imageDataToCanvas = async (imageData, orientation = 1) => {\n    const canOrient = await canOrientImages();\n    const [width, height] = canOrient || orientation < 5\n        ? [imageData.width, imageData.height]\n        : [imageData.height, imageData.width];\n    const canvas = h('canvas', { width, height });\n    const ctx = canvas.getContext('2d', { willReadFrequently: true });\n    // transform image data ojects into in memory canvas elements so we can transform them (putImageData isn't affect by transforms)\n    if (isImageData(imageData) && !canOrient && orientation > 1) {\n        const inMemoryCanvas = h('canvas', {\n            width: imageData.width,\n            height: imageData.height,\n        });\n        const ctx = inMemoryCanvas.getContext('2d', { willReadFrequently: true });\n        ctx.putImageData(imageData, 0, 0);\n        imageData = inMemoryCanvas;\n    }\n    // get base transformation matrix\n    if (!canOrient && orientation > 1) {\n        ctx.transform.apply(ctx, getImageOrientationMatrix(imageData.width, imageData.height, orientation));\n    }\n    // can't test for instanceof ImageBitmap as Safari doesn't support it\n    // if still imageData object by this point, we'll use put\n    if (isImageData(imageData)) {\n        ctx.putImageData(imageData, 0, 0);\n        // Somehow on Android + Intel (not on M1) a toBlob call on the current canvas won't return a valid image blob, for some reason duplicating the canvas solves it #882\n        if (isAndroid())\n            return canvasClone(canvas);\n    }\n    else {\n        ctx.drawImage(imageData, 0, 0);\n    }\n    // if image data is of type canvas, clean it up\n    if (imageData instanceof HTMLCanvasElement)\n        releaseCanvas(imageData);\n    return canvas;\n};\n\nvar orientImageData = async (imageData, orientation = 1) => {\n    if (orientation === 1)\n        return imageData;\n    // correct image data for when the browser does not correctly read exif orientation headers\n    if (!(await canOrientImages()))\n        return canvasToImageData(await imageDataToCanvas(imageData, orientation));\n    return imageData;\n};\n\nvar isObject = (v) => typeof v === 'object';\n\nconst copy = (val) => {\n    // don't clone html elements\n    if (val instanceof HTMLElement)\n        return val;\n    // clone objects\n    return isObject(val) ? deepCopy(val) : val;\n};\nconst deepCopy = (src) => {\n    let dst;\n    if (Array.isArray(src)) {\n        dst = [];\n        src.forEach((val, i) => {\n            dst[i] = copy(val);\n        });\n    }\n    else {\n        dst = {};\n        Object.keys(src).forEach((key) => {\n            const val = src[key];\n            dst[key] = copy(val);\n        });\n    }\n    return dst;\n};\n\nvar isString = (v) => typeof v === 'string';\n\nvar isFunction = (v) => typeof v === 'function';\n\nvar imageToCanvas = (image, { width, height, canvasMemoryLimit, contextOptions }) => {\n    let canvasWidth = width || image.naturalWidth;\n    let canvasHeight = height || image.naturalHeight;\n    // if no width and no height use defaults\n    if (!canvasWidth && !canvasHeight) {\n        // if these are 0 it's possible that we're trying to convert an SVG that doesn't have width or height attributes\n        // https://bugzilla.mozilla.org/show_bug.cgi?id=1328124\n        canvasWidth = 300;\n        canvasHeight = 150;\n    }\n    // determine if requires more memory than limit, if so limit target size\n    const requiredCanvasMemory = canvasWidth * canvasHeight;\n    if (canvasMemoryLimit && requiredCanvasMemory > canvasMemoryLimit) {\n        const canvasScalar = Math.sqrt(canvasMemoryLimit) / Math.sqrt(requiredCanvasMemory);\n        canvasWidth = Math.floor(canvasWidth * canvasScalar);\n        canvasHeight = Math.floor(canvasHeight * canvasScalar);\n    }\n    // create new canvas element\n    const canvas = h('canvas');\n    canvas.width = canvasWidth;\n    canvas.height = canvasHeight;\n    const ctx = canvas.getContext('2d', contextOptions);\n    ctx.drawImage(image, 0, 0, canvasWidth, canvasHeight);\n    return canvas;\n};\n\n// turns image into canvas only after it's fully loaded\nvar imageToCanvasSafe = (image, options) => new Promise((resolve, reject) => {\n    const ready = () => resolve(imageToCanvas(image, options));\n    if (image.complete && image.width) {\n        // need to test for image.width, on ie11 it will be 0 for object urls\n        ready();\n    }\n    else {\n        image.onload = ready;\n        image.onerror = () => reject(new Error('Failed to load image'));\n    }\n});\n\nvar blobToCanvas = async (imageBlob, options) => {\n    const imageElement = h('img', {\n        src: URL.createObjectURL(imageBlob),\n    });\n    const canvas = await imageToCanvasSafe(imageElement, options);\n    URL.revokeObjectURL(imageElement.src);\n    return canvas;\n};\n\nvar canCreateImageBitmap = () => 'createImageBitmap' in window;\n\nvar canCreateOffscreenCanvas = () => 'OffscreenCanvas' in window;\n\nvar isSVGFile = (blob) => /svg/.test(blob.type);\n\nvar getUniqueId = () => Math.random()\n    .toString(36)\n    .substr(2, 9);\n\nvar functionToBlob = (fn) => new Blob(['(', typeof fn === 'function' ? fn.toString() : fn, ')()'], {\n    type: 'application/javascript',\n});\n\nconst wrapFunction = (fn) => `function () {self.onmessage = function (message) {(${fn.toString()}).apply(null, message.data.content.concat([function (err, response) {\n    response = response || {};\n    const transfer = 'data' in response ? [response.data.buffer] : 'width' in response ? [response] : [];\n    return self.postMessage({ id: message.data.id, content: response, error: err }, transfer);\n}]))}}`;\nconst workerPool = new Map();\nvar thread = (fn, args, transferList) => new Promise((resolve, reject) => {\n    const workerKey = fn.toString();\n    let pooledWorker = workerPool.get(workerKey);\n    if (!pooledWorker) {\n        // create worker for this function\n        const workerFn = wrapFunction(fn);\n        // create a new web worker\n        const url = URL.createObjectURL(functionToBlob(workerFn));\n        const messages = new Map();\n        const worker = new Worker(url);\n        // create a pooled worker, this object will contain the worker and active messages\n        pooledWorker = {\n            url,\n            worker,\n            messages,\n            terminationTimeout: undefined,\n            terminate: () => {\n                clearTimeout(pooledWorker.terminationTimeout);\n                pooledWorker.worker.terminate();\n                URL.revokeObjectURL(url);\n                workerPool.delete(workerKey);\n            },\n        };\n        // handle received messages\n        worker.onmessage = function (e) {\n            // should receive message id and message\n            const { id, content, error } = e.data;\n            // automatically clean up workers after half a second\n            clearTimeout(pooledWorker.terminationTimeout);\n            pooledWorker.terminationTimeout = setTimeout(() => {\n                if (messages.size > 0)\n                    return;\n                pooledWorker.terminate();\n            }, 500);\n            // message route no longer valid\n            if (!messages.has(id))\n                return;\n            // get related thread and resolve with returned content\n            const message = messages.get(id);\n            // remove thread from threads cache\n            messages.delete(id);\n            // resolve or reject message based on response from worker\n            error != null ? message.reject(error) : message.resolve(content);\n        };\n        // pool this worker\n        workerPool.set(workerKey, pooledWorker);\n    }\n    // we need a way to remember this message so we generate a unique id and use that as a key for this request, that way we can link the response back to request in the pooledWorker.onmessage handler\n    const messageId = getUniqueId();\n    pooledWorker.messages.set(messageId, { resolve, reject });\n    // use pooled worker and await response\n    pooledWorker.worker.postMessage({ id: messageId, content: args }, transferList);\n});\n\nvar blobToImageData = async (imageBlob, canvasMemoryLimit) => {\n    const mainThreadBlobToImageData = async () => {\n        const canvas = await blobToCanvas(imageBlob, {\n            canvasMemoryLimit,\n            contextOptions: { willReadFrequently: true },\n        });\n        const imageData = canvasToImageData(canvas);\n        releaseCanvas(canvas);\n        return imageData;\n    };\n    // somehow there's a weird issue with Android where when it uses offscreen canvas\n    // the imagedata gets \"lost\" when turning a canvas with that imagedata back into a blob\n    // for now we can circumvent the issue by creating the imagedata in the main thread\n    if (isAndroid())\n        return await mainThreadBlobToImageData();\n    let imageData;\n    // if can use OffscreenCanvas let's go for it as it will mean we can run this operation on a separate thread\n    if (canCreateImageBitmap() && !isSVGFile(imageBlob) && canCreateOffscreenCanvas()) {\n        try {\n            imageData = await thread((file, canvasMemoryLimit, done) => {\n                createImageBitmap(file)\n                    .then((bitmap) => {\n                    let canvasWidth = bitmap.width;\n                    let canvasHeight = bitmap.height;\n                    // determine if requires more memory than limit, if so limit target size\n                    const requiredCanvasMemory = canvasWidth * canvasHeight;\n                    if (canvasMemoryLimit && requiredCanvasMemory > canvasMemoryLimit) {\n                        const canvasScalar = Math.sqrt(canvasMemoryLimit) / Math.sqrt(requiredCanvasMemory);\n                        canvasWidth = Math.floor(canvasWidth * canvasScalar);\n                        canvasHeight = Math.floor(canvasHeight * canvasScalar);\n                    }\n                    const canvas = new OffscreenCanvas(canvasWidth, canvasHeight);\n                    const ctx = canvas.getContext('2d', {\n                        // we're going to read from this canvas, don't hardware accelerate\n                        willReadFrequently: true,\n                    });\n                    ctx.drawImage(bitmap, 0, 0, canvasWidth, canvasHeight);\n                    const imageData = ctx.getImageData(0, 0, canvas.width, canvas.height);\n                    done(null, imageData);\n                })\n                    .catch((err) => {\n                    // fail silently\n                    done(err);\n                });\n            }, [imageBlob, canvasMemoryLimit]);\n        }\n        catch (err) {\n            // fails silently on purpose, we'll try to turn the blob into image data in the main thread\n            // console.error(err);\n        }\n    }\n    // use main thread to generate ImageData\n    if (!imageData || !imageData.width)\n        return await mainThreadBlobToImageData();\n    return imageData;\n};\n\nvar canvasToBlob = (canvas, mimeType = undefined, quality = undefined) => new Promise((resolve, reject) => {\n    try {\n        canvas.toBlob((blob) => {\n            if (!blob)\n                return reject(new Error('Failed to create blob'));\n            resolve(blob);\n        }, mimeType, quality);\n    }\n    catch (err) {\n        reject(err);\n    }\n});\n\nvar imageDataToBlob = async (imageData, mimeType, quality) => {\n    const canvas = await imageDataToCanvas(imageData);\n    const blob = await canvasToBlob(canvas, mimeType, quality);\n    releaseCanvas(canvas);\n    return blob;\n};\n\nvar blobWriteSection = (blob, section, slice = [0, blob.size]) => {\n    if (!section)\n        return blob;\n    return new Blob([section, blob.slice(...slice)], { type: blob.type });\n};\n\nconst mimeTypes = {\n    matroska: 'mkv',\n};\nvar getExtensionFromMimeType = (mimeType) => {\n    const ext = (mimeType.match(/\\/([a-z0-9]+)/) || [])[1];\n    if (/^x/.test(ext)) {\n        const [, post = ''] = mimeType.split('/x-');\n        return mimeTypes[post];\n    }\n    return ext;\n};\n\nvar getFilenameWithoutExtension = (name) => name.substr(0, name.lastIndexOf('.')) || name;\n\nvar getExtensionFromFilename = (filename) => filename.split('.').pop();\n\nconst ImageExtensionsRegex = /avif|bmp|gif|jpg|jpeg|jpe|jif|jfif|png|svg|tiff|webp/;\n/*\nSupport image mime types\n- image/webp\n- image/gif\n- image/avif\n- image/jpeg\n- image/png\n- image/bmp\n- image/svg+xml\n*/\nvar getMimeTypeFromExtension = (ext) => {\n    // empty string returned if extension not found\n    if (!ImageExtensionsRegex.test(ext))\n        return '';\n    // return MimeType for this extension\n    return 'image/' + (/jfif|jif|jpe|jpg/.test(ext) ? 'jpeg' : ext === 'svg' ? 'svg+xml' : ext);\n};\n\nvar getMimeTypeFromFilename = (name) => name && getMimeTypeFromExtension(getExtensionFromFilename(name).toLowerCase());\n\nvar matchFilenameToMimeType = (filename, mimeType) => {\n    // get the mime type that matches this extension\n    const fileMimeType = getMimeTypeFromFilename(filename);\n    // test if type already matches current mime type, no need to change name\n    if (fileMimeType === mimeType)\n        return filename;\n    // get the extension for this mimetype (gets all characters after the \"image/\" part)\n    // if mimeType doesn't yield an extension, use the fileMimeType\n    const targetMimeTypeExtension = getExtensionFromMimeType(mimeType) || fileMimeType;\n    return `${getFilenameWithoutExtension(filename)}.${targetMimeTypeExtension}`;\n};\n\nvar blobToFile = (blob, filename, mimetype) => {\n    const lastModified = new Date().getTime();\n    const blobHasMimeType = blob.type.length && !/null|text/.test(blob.type);\n    const blobMimeType = blobHasMimeType ? blob.type : mimetype;\n    const name = matchFilenameToMimeType(filename, blobMimeType);\n    try {\n        return new (getNativeAPIRef('File'))([blob], name, {\n            lastModified,\n            type: blobHasMimeType ? blob.type : blobMimeType,\n        });\n    }\n    catch (err) {\n        const file = blobHasMimeType ? blob.slice() : blob.slice(0, blob.size, blobMimeType);\n        file.lastModified = lastModified;\n        file.name = name;\n        return file;\n    }\n};\n\nvar getAspectRatio = (w, h) => w / h;\n\nvar passthrough = (v) => (v);\n\nconst PI = Math.PI;\nconst HALF_PI = Math.PI / 2;\nconst QUART_PI = HALF_PI / 2;\n\nvar isRotatedSideways = (a) => {\n    const rotationLimited = Math.abs(a) % Math.PI;\n    return rotationLimited > QUART_PI && rotationLimited < Math.PI - QUART_PI;\n};\n\n// enum Direction {\n//     Top = 't',\n//     Right = 'r',\n//     Bottom = 'b',\n//     Left = 'l',\n//     TopLeft = 'tl',\n//     TopRight = 'tr',\n//     BottomRight = 'br',\n//     BottomLeft = 'bl',\n// }\n// export const { Top, Right, Bottom, Left, TopLeft, TopRight, BottomRight, BottomLeft } = Direction;\n// export default Direction;\nconst Direction = {\n    Top: 't',\n    Right: 'r',\n    Bottom: 'b',\n    Left: 'l',\n    TopLeft: 'tl',\n    TopRight: 'tr',\n    BottomRight: 'br',\n    BottomLeft: 'bl',\n};\nconst { Top, Right, Bottom, Left, TopLeft, TopRight, BottomRight, BottomLeft } = Direction;\n\nvar DirectionCoordinateTable = {\n    [Top]: [0.5, 0],\n    [Right]: [1, 0.5],\n    [Bottom]: [0.5, 1],\n    [Left]: [0, 0.5],\n    [TopLeft]: [0, 0],\n    [TopRight]: [1, 0],\n    [BottomRight]: [1, 1],\n    [BottomLeft]: [0, 1],\n};\n\nvar fixPrecision = (value, precision = 12) => parseFloat(value.toFixed(precision));\n\n//\n// generic\n//\nconst scale = (value, scalar, pivot) => pivot + (value - pivot) * scalar;\nconst ellipseCreateFromRect = (rect) => ({\n    x: rect.x + rect.width * 0.5,\n    y: rect.y + rect.height * 0.5,\n    rx: rect.width * 0.5,\n    ry: rect.height * 0.5,\n});\n//\n// vector\n//\nconst vectorCreateEmpty = () => vectorCreate(0, 0);\nconst vectorCreate = (x, y) => ({ x, y });\nconst vectorCreateFromSize = (size) => vectorCreate(size.width, size.height);\nconst vectorCreateFromAny = (obj) => vectorCreate(obj.x, obj.y);\nconst vectorCreateFromPointerEvent = (e) => vectorCreate(e.pageX, e.pageY);\nconst vectorCreateFromPointerEventOffset = (e) => vectorCreate(e.offsetX, e.offsetY);\nconst vectorClone = (v) => vectorCreate(v.x, v.y);\nconst vectorUpdate = (v, x, y) => {\n    v.x = x;\n    v.y = y;\n    return v;\n};\nconst vectorInvert = (v) => {\n    v.x = -v.x;\n    v.y = -v.y;\n    return v;\n};\nconst vectorPerpendicular = (v) => {\n    const x = v.x;\n    v.x = -v.y;\n    v.y = x;\n    return v;\n};\nconst vectorRotate = (v, radians, pivot = vectorCreateEmpty()) => {\n    const cos = Math.cos(radians);\n    const sin = Math.sin(radians);\n    const tx = v.x - pivot.x;\n    const ty = v.y - pivot.y;\n    v.x = pivot.x + cos * tx - sin * ty;\n    v.y = pivot.y + sin * tx + cos * ty;\n    return v;\n};\nconst vectorLength = (v) => Math.sqrt(v.x * v.x + v.y * v.y);\nconst vectorNormalize = (v) => {\n    const length = Math.sqrt(v.x * v.x + v.y * v.y);\n    if (length === 0)\n        return vectorCreateEmpty();\n    v.x /= length;\n    v.y /= length;\n    return v;\n};\nconst vectorAngle = (v) => Math.atan2(v.y, v.x);\nconst vectorAngleBetween = (a, b) => Math.atan2(b.y - a.y, b.x - a.x);\nconst vectorEqual = (a, b) => a.x === b.x && a.y === b.y;\nconst vectorApply = (v, fn) => {\n    v.x = fn(v.x);\n    v.y = fn(v.y);\n    return v;\n};\nconst vectorAdd = (a, b) => {\n    a.x += b.x;\n    a.y += b.y;\n    return a;\n};\nconst vectorSubtract = (a, b) => {\n    a.x -= b.x;\n    a.y -= b.y;\n    return a;\n};\nconst vectorDivide = (v, l) => {\n    v.x /= l;\n    v.y /= l;\n    return v;\n};\nconst vectorMultiply = (v, f) => {\n    v.x *= f;\n    v.y *= f;\n    return v;\n};\nconst vectorDot = (a, b) => a.x * b.x + a.y * b.y;\nconst vectorCross = (a, b) => a.x * b.y - a.y * b.x;\nconst vectorDistanceSquared = (a, b = vectorCreateEmpty()) => {\n    const x = a.x - b.x;\n    const y = a.y - b.y;\n    return x * x + y * y;\n};\nconst vectorDistance = (a, b = vectorCreateEmpty()) => Math.sqrt(vectorDistanceSquared(a, b));\nconst vectorScale = (v, scalar, pivot) => {\n    v.x = scale(v.x, scalar, pivot.x);\n    v.y = scale(v.y, scalar, pivot.y);\n    return v;\n};\nconst vectorCenter = (v) => {\n    let x = 0;\n    let y = 0;\n    v.forEach((v) => {\n        x += v.x;\n        y += v.y;\n    });\n    return vectorCreate(x / v.length, y / v.length);\n};\nconst vectorsFlip = (points, flipX, flipY, cx, cy) => {\n    points.forEach((point) => {\n        point.x = flipX ? cx - (point.x - cx) : point.x;\n        point.y = flipY ? cy - (point.y - cy) : point.y;\n    });\n    return points;\n};\nconst vectorsRotate = (points, angle, cx, cy) => {\n    const s = Math.sin(angle);\n    const c = Math.cos(angle);\n    points.forEach((p) => {\n        p.x -= cx;\n        p.y -= cy;\n        const rx = p.x * c - p.y * s;\n        const ry = p.x * s + p.y * c;\n        p.x = cx + rx;\n        p.y = cy + ry;\n    });\n    return points;\n};\n//\n// size\n//\nconst toSize = (width, height) => ({ width, height });\nconst sizeClone = (size) => toSize(size.width, size.height);\nconst sizeCreateFromAny = (obj) => toSize(obj.width, obj.height);\nconst sizeCreateFromRect = (r) => toSize(r.width, r.height);\nconst sizeCreateFromArray = (a) => toSize(a[0], a[1]);\nconst sizeCreateFromImageNaturalSize = (image) => toSize(image.naturalWidth, image.naturalHeight);\nconst sizeCreateFromElement = (element) => {\n    if (/img/i.test(element.nodeName)) {\n        return sizeCreateFromImageNaturalSize(element);\n    }\n    return sizeCreateFromAny(element);\n};\nconst sizeCreate = (width, height) => toSize(width, height);\nconst sizeEqual = (a, b, format = passthrough) => format(a.width) === format(b.width) && format(a.height) === format(b.height);\nconst sizeScale = (size, scalar) => {\n    size.width *= scalar;\n    size.height *= scalar;\n    return size;\n};\nconst sizeCenter = (size) => vectorCreate(size.width * 0.5, size.height * 0.5);\nconst sizeRotate = (size, radians) => {\n    const r = Math.abs(radians);\n    const cos = Math.cos(r);\n    const sin = Math.sin(r);\n    const w = cos * size.width + sin * size.height;\n    const h = sin * size.width + cos * size.height;\n    size.width = w;\n    size.height = h;\n    return size;\n};\nconst sizeTurn = (size, radians) => {\n    const w = size.width;\n    const h = size.height;\n    if (isRotatedSideways(radians)) {\n        size.width = h;\n        size.height = w;\n    }\n    return size;\n};\nconst sizeContains = (a, b) => a.width >= b.width && a.height >= b.height;\nconst sizeApply = (size, fn) => {\n    size.width = fn(size.width);\n    size.height = fn(size.height);\n    return size;\n};\nconst sizeHypotenuse = (size) => Math.sqrt(size.width * size.width + size.height * size.height);\nconst sizeMin = (a, b) => sizeCreate(Math.min(a.width, b.width), Math.min(a.height, b.height));\n//\n// line\n//\nconst lineCreate = (start, end) => ({ start, end });\nconst lineClone = (line) => lineCreate(vectorClone(line.start), vectorClone(line.end));\nconst lineExtend = (line, amount) => {\n    if (amount === 0)\n        return line;\n    const v = vectorCreate(line.start.x - line.end.x, line.start.y - line.end.y);\n    const n = vectorNormalize(v);\n    const m = vectorMultiply(n, amount);\n    line.start.x += m.x;\n    line.start.y += m.y;\n    line.end.x -= m.x;\n    line.end.y -= m.y;\n    return line;\n};\nconst lineMultiply = (line, amount) => {\n    if (amount === 0)\n        return line;\n    const v = vectorCreate(line.start.x - line.end.x, line.start.y - line.end.y);\n    const n = vectorNormalize(v);\n    const m = vectorMultiply(n, amount);\n    line.end.x += m.x;\n    line.end.y += m.y;\n    return line;\n};\nconst lineExtrude = ({ start, end }, amount) => {\n    if (amount === 0)\n        return [\n            vectorCreate(start.x, start.y),\n            vectorCreate(start.x, start.y),\n            vectorCreate(end.x, end.y),\n            vectorCreate(end.x, end.y),\n        ];\n    const a = Math.atan2(end.y - start.y, end.x - start.x);\n    const sina = Math.sin(a) * amount;\n    const cosa = Math.cos(a) * amount;\n    return [\n        vectorCreate(sina + start.x, -cosa + start.y),\n        vectorCreate(-sina + start.x, cosa + start.y),\n        vectorCreate(-sina + end.x, cosa + end.y),\n        vectorCreate(sina + end.x, -cosa + end.y),\n    ];\n};\n//\n// rect\n//\nconst CornerSigns = [\n    vectorCreate(-1, -1),\n    vectorCreate(-1, 1),\n    vectorCreate(1, 1),\n    vectorCreate(1, -1),\n];\nconst toRect = (x, y, width, height) => ({\n    x,\n    y,\n    width,\n    height,\n});\nconst rectClone$1 = (rect) => toRect(rect.x, rect.y, rect.width, rect.height);\nconst rectCreateEmpty = () => toRect(0, 0, 0, 0);\nconst rectCreateFromDimensions = (width, height) => toRect(0, 0, width, height);\nconst rectCreateFromSize = (size) => toRect(0, 0, size.width, size.height);\nconst rectCreateFromBounds = (bounds) => toRect(bounds[3], bounds[0], bounds[1] - bounds[3], bounds[2] - bounds[0]);\nconst rectCreateFromAny = (obj) => toRect(obj.x || 0, obj.y || 0, obj.width || 0, obj.height || 0);\nconst rectCreateFromPoints = (points) => {\n    let xMin = points[0].x;\n    let xMax = points[0].x;\n    let yMin = points[0].y;\n    let yMax = points[0].y;\n    points.forEach((point) => {\n        xMin = Math.min(xMin, point.x);\n        xMax = Math.max(xMax, point.x);\n        yMin = Math.min(yMin, point.y);\n        yMax = Math.max(yMax, point.y);\n    });\n    return toRect(xMin, yMin, xMax - xMin, yMax - yMin);\n};\nconst rectCreateFromEllipse = (ellipse) => rectCreate(ellipse.x - ellipse.rx, ellipse.y - ellipse.ry, ellipse.rx * 2, ellipse.ry * 2);\nconst rectCreateWithCenter = (center, size) => toRect(center.x - size.width * 0.5, center.y - size.height * 0.5, size.width, size.height);\nconst rectCreate = (x, y, width, height) => toRect(x, y, width, height);\nconst rectCenter = (rect) => vectorCreate(rect.x + rect.width * 0.5, rect.y + rect.height * 0.5);\nconst rectTranslate$1 = (rect, t) => {\n    rect.x += t.x;\n    rect.y += t.y;\n    return rect;\n};\nconst rectScale$1 = (rect, scalar, pivot) => {\n    pivot = pivot || rectCenter(rect);\n    rect.x = scalar * (rect.x - pivot.x) + pivot.x;\n    rect.y = scalar * (rect.y - pivot.y) + pivot.y;\n    rect.width = scalar * rect.width;\n    rect.height = scalar * rect.height;\n    return rect;\n};\nconst rectClamp = (rect, sizeMin, sizeMax, pivot) => {\n    const x = (pivot.x - rect.x) / rect.width;\n    const y = (pivot.y - rect.y) / rect.height;\n    let width = Math.max(sizeMin.width, rect.width);\n    let height = Math.max(sizeMin.height, rect.height);\n    width = Math.min(sizeMax.width, width);\n    height = Math.min(sizeMax.height, height);\n    rect.x = pivot.x - x * width;\n    rect.y = pivot.y - y * height;\n    rect.width = width;\n    rect.height = height;\n    return rect;\n};\nconst rectGetCornerByTarget = (rect, target) => {\n    const [xf, yf] = DirectionCoordinateTable[target];\n    const x = xf * rect.width;\n    const y = yf * rect.height;\n    return vectorCreate(rect.x + x, rect.y + y);\n};\nconst rectMultiply = (rect, factor) => {\n    rect.x *= factor;\n    rect.y *= factor;\n    rect.width *= factor;\n    rect.height *= factor;\n    return rect;\n};\nconst rectDivide = (rect, factor) => {\n    rect.x /= factor;\n    rect.y /= factor;\n    rect.width /= factor;\n    rect.height /= factor;\n    return rect;\n};\nconst rectSubtract = (a, b) => {\n    a.x -= b.x;\n    a.y -= b.y;\n    a.width -= b.width;\n    a.height -= b.height;\n    return a;\n};\nconst rectAdd = (a, b) => {\n    a.x += b.x;\n    a.y += b.y;\n    a.width += b.width;\n    a.height += b.height;\n    return a;\n};\nconst rectEqual = (a, b, format = passthrough) => format(a.x) === format(b.x) &&\n    format(a.y) === format(b.y) &&\n    format(a.width) === format(b.width) &&\n    format(a.height) === format(b.height);\nconst rectAspectRatio = (rect) => getAspectRatio(rect.width, rect.height);\nconst rectUpdate = (rect, x, y, width, height) => {\n    rect.x = x;\n    rect.y = y;\n    rect.width = width;\n    rect.height = height;\n    return rect;\n};\nconst rectUpdateWithRect = (a, b) => {\n    a.x = b.x;\n    a.y = b.y;\n    a.width = b.width;\n    a.height = b.height;\n    return a;\n};\nconst rectRotate = (rect, radians, pivot) => {\n    if (!pivot)\n        pivot = rectCenter(rect);\n    return rectGetCorners(rect).map((vertex) => vectorRotate(vertex, radians, pivot));\n};\nconst rectCenterRect = (a, b) => toRect(a.width * 0.5 - b.width * 0.5, a.height * 0.5 - b.height * 0.5, b.width, b.height);\nconst rectContainsPoint = (rect, point) => {\n    if (point.x < rect.x)\n        return false;\n    if (point.y < rect.y)\n        return false;\n    if (point.x > rect.x + rect.width)\n        return false;\n    if (point.y > rect.y + rect.height)\n        return false;\n    return true;\n};\nconst rectCoverRect = (rect, aspectRatio, offset = vectorCreateEmpty()) => {\n    if (rect.width === 0 || rect.height === 0)\n        return rectCreateEmpty();\n    const inputAspectRatio = rectAspectRatio(rect);\n    if (!aspectRatio)\n        aspectRatio = inputAspectRatio;\n    let width = rect.width;\n    let height = rect.height;\n    if (aspectRatio > inputAspectRatio) {\n        // height remains the same, width is expanded\n        width = height * aspectRatio;\n    }\n    else {\n        // width remains the same, height is expanded\n        height = width / aspectRatio;\n    }\n    return toRect(offset.x + (rect.width - width) * 0.5, offset.y + (rect.height - height) * 0.5, width, height);\n};\nconst rectLimitInRect = (childRect, parentRect, aspectRatio) => {\n    const [t, r, b, l] = rectToBounds(childRect);\n    const rectOrigin = { ...childRect };\n    if (t < parentRect.y) {\n        childRect.height = childRect.height - (parentRect.y - t);\n        childRect.y = parentRect.y;\n    }\n    if (r > parentRect.x + parentRect.width) {\n        childRect.width = parentRect.x + parentRect.width - childRect.x;\n    }\n    if (b > parentRect.y + parentRect.height) {\n        childRect.height = parentRect.y + parentRect.height - childRect.y;\n    }\n    if (l < parentRect.x) {\n        childRect.width = childRect.width - (parentRect.x - l);\n        childRect.x = parentRect.x;\n    }\n    if (aspectRatio) {\n        // scalar\n        const scalar = Math.min(1, rectOrigin.width / childRect.width, rectOrigin.height / childRect.height);\n        return rectMultiply(rectOrigin, scalar);\n    }\n    return childRect;\n};\nconst rectOffsetInRect = (childRect, parentRect) => {\n    const [t, r, b, l] = rectToBounds(childRect);\n    if (t < parentRect.y)\n        childRect.y = Math.max(parentRect.y, childRect.y);\n    if (r > parentRect.width)\n        childRect.x = parentRect.width - childRect.width;\n    if (b > parentRect.height)\n        childRect.y = parentRect.height - childRect.height;\n    if (l < parentRect.x)\n        childRect.x = Math.max(parentRect.x, childRect.x);\n    return childRect;\n};\nconst rectContainRect = (rect, aspectRatio = rectAspectRatio(rect), offset = vectorCreateEmpty()) => {\n    if (rect.width === 0 || rect.height === 0)\n        return rectCreateEmpty();\n    let width = rect.width;\n    let height = width / aspectRatio;\n    if (height > rect.height) {\n        height = rect.height;\n        width = height * aspectRatio;\n    }\n    return toRect(offset.x + (rect.width - width) * 0.5, offset.y + (rect.height - height) * 0.5, width, height);\n};\nconst rectToBounds = (rect) => [\n    Math.min(rect.y, rect.y + rect.height),\n    Math.max(rect.x, rect.x + rect.width),\n    Math.max(rect.y, rect.y + rect.height),\n    Math.min(rect.x, rect.x + rect.width), // left\n];\nconst rectGetCorners = (rect) => [\n    vectorCreate(rect.x, rect.y),\n    vectorCreate(rect.x + rect.width, rect.y),\n    vectorCreate(rect.x + rect.width, rect.y + rect.height),\n    vectorCreate(rect.x, rect.y + rect.height),\n];\nconst rectApply = (rect, fn) => {\n    if (!rect)\n        return;\n    rect.x = fn(rect.x);\n    rect.y = fn(rect.y);\n    rect.width = fn(rect.width);\n    rect.height = fn(rect.height);\n    return rect;\n};\nconst rectApplyPerspective = (rect, perspective, pivot = rectCenter(rect)) => rectGetCorners(rect).map((corner, index) => {\n    const sign = CornerSigns[index];\n    return vectorCreate(scale(corner.x, 1.0 + sign.x * perspective.x, pivot.x), scale(corner.y, 1.0 + sign.y * perspective.y, pivot.y));\n});\nconst rectNormalizeOffset = (rect) => {\n    rect.x = 0;\n    rect.y = 0;\n    return rect;\n};\nconst convexPolyCentroid = (vertices) => {\n    const first = vertices[0];\n    const last = vertices[vertices.length - 1];\n    // make sure is closed loop\n    vertices = vectorEqual(first, last) ? vertices : [...vertices, first];\n    const fx = first.x;\n    const fy = first.y;\n    let twiceArea = 0;\n    let i = 0;\n    let x = 0;\n    let y = 0;\n    let a;\n    let b;\n    let f;\n    const l = vertices.length;\n    for (; i < l; i++) {\n        // current vertex\n        a = vertices[i];\n        // next vertex\n        b = vertices[i + 1 > l - 1 ? 0 : i + 1];\n        f = (a.y - fy) * (b.x - fx) - (b.y - fy) * (a.x - fx);\n        twiceArea += f;\n        x += (a.x + b.x - 2 * fx) * f;\n        y += (a.y + b.y - 2 * fy) * f;\n    }\n    f = twiceArea * 3;\n    return vectorCreate(fx + x / f, fy + y / f);\n};\nconst lineLineIntersection = (a, b) => getLineLineIntersectionPoint(a.start, a.end, b.start, b.end);\nconst getLineLineIntersectionPoint = (a, b, c, d) => {\n    const denominator = (d.y - c.y) * (b.x - a.x) - (d.x - c.x) * (b.y - a.y);\n    // lines are parallel\n    if (denominator === 0)\n        return undefined;\n    const uA = ((d.x - c.x) * (a.y - c.y) - (d.y - c.y) * (a.x - c.x)) / denominator;\n    const uB = ((b.x - a.x) * (a.y - c.y) - (b.y - a.y) * (a.x - c.x)) / denominator;\n    // intersection is not on the line itself\n    if (uA < 0 || uA > 1 || uB < 0 || uB > 1)\n        return undefined;\n    // return intersection point\n    return vectorCreate(a.x + uA * (b.x - a.x), a.y + uA * (b.y - a.y));\n};\n// checks if line intersects with one of the lines that can be drawn between the points (in sequence)\nconst linePointsIntersection = (line, points, { ignoreIdenticalLines = false, breakOnIntersection = false } = {}) => {\n    const l = points.length;\n    const intersections = [];\n    for (let i = 0; i < l - 1; i++) {\n        if (ignoreIdenticalLines &&\n            (vectorEqual(line.start, points[i]) ||\n                vectorEqual(line.start, points[i + 1]) ||\n                vectorEqual(line.end, points[i]) ||\n                vectorEqual(line.end, points[i + 1])))\n            continue;\n        const intersection = getLineLineIntersectionPoint(line.start, line.end, points[i], points[i + 1]);\n        if (!intersection)\n            continue;\n        if (breakOnIntersection)\n            return [intersection];\n        intersections.push(intersection);\n    }\n    return intersections.length ? intersections : undefined;\n};\nconst pointInPoly$1 = (point, vertices) => {\n    let i = 0;\n    let j = 0;\n    let c = false;\n    const l = vertices.length;\n    for (i = 0, j = l - 1; i < l; j = i++) {\n        if (vertices[i].y > point.y != vertices[j].y > point.y &&\n            point.x <\n                ((vertices[j].x - vertices[i].x) * (point.y - vertices[i].y)) /\n                    (vertices[j].y - vertices[i].y) +\n                    vertices[i].x) {\n            c = !c;\n        }\n    }\n    return c;\n};\n// first tests if points of a are to be found in b, then does the reverse\nconst polyIntersectsWithPoly = (a, b) => {\n    const bContainsCornerOfA = a.find((corner) => pointInPoly$1(corner, b));\n    if (bContainsCornerOfA)\n        return true;\n    const aContainsCornerOfB = b.find((corner) => pointInPoly$1(corner, a));\n    if (aContainsCornerOfB)\n        return true;\n    return false;\n};\nconst quadLines = (vertices) => {\n    const arr = [];\n    for (let i = 0; i < vertices.length; i++) {\n        let next = i + 1;\n        if (next === vertices.length)\n            next = 0;\n        arr.push(lineCreate(vectorClone(vertices[i]), vectorClone(vertices[next])));\n    }\n    return arr;\n};\nconst quadToLines = (vertices, extension = 0) => quadLines(vertices)\n    // extend the poly lines a tiny bit so we\n    // don't shoot rays between line gaps at corners\n    // this caused one intersection to be missing resulting\n    // in error while manipulating crop edges\n    // (rotate image 90degrees -> drag bottom edge) (2021-04-09)\n    .map((line) => lineExtend(line, extension));\nconst ellipseToPolygon = (center, rx, ry, rotation = 0, flipX = false, flipY = false, resolution = 12) => {\n    const points = [];\n    for (let i = 0; i < resolution; i++) {\n        points.push(vectorCreate(center.x + rx * Math.cos((i * (Math.PI * 2)) / resolution), center.y + ry * Math.sin((i * (Math.PI * 2)) / resolution)));\n    }\n    if (flipX || flipY)\n        vectorsFlip(points, flipX, flipY, center.x, center.y);\n    if (rotation)\n        vectorsRotate(points, rotation, center.x, center.y);\n    return points;\n};\n\nvar getImageTransformedRect = (imageSize, imageRotation) => {\n    const imageRect = rectCreateFromSize(imageSize);\n    const imageCenter = rectCenter(imageRect);\n    const imageTransformedVertices = rectRotate(imageRect, imageRotation, imageCenter);\n    return rectNormalizeOffset(rectCreateFromPoints(imageTransformedVertices));\n};\n\nvar isElement = (v, name) => v instanceof HTMLElement && (name ? new RegExp(`^${name}$`, 'i').test(v.nodeName) : true);\n\nvar isFile = (v) => v instanceof File;\n\nvar canvasToFile = async (canvas, mimeType, quality) => {\n    const blob = await canvasToBlob(canvas, mimeType, quality);\n    return blobToFile(blob, 'canvas');\n};\n\nvar getFilenameFromURL = (url) => url\n    .split('/')\n    .pop()\n    .split(/\\?|\\#/)\n    .shift();\n\n// @ts-ignore\nconst supportsReplaceChildren = isBrowser() && !!Node.prototype.replaceChildren;\nconst fn$1 = supportsReplaceChildren\n    ? // @ts-ignore\n        (parent, newChildren) => parent.replaceChildren(newChildren)\n    : (parent, newChildren) => {\n        while (parent.lastChild) {\n            parent.removeChild(parent.lastChild);\n        }\n        if (newChildren !== undefined) {\n            parent.append(newChildren);\n        }\n    };\n\nconst container = isBrowser() &&\n    h('div', {\n        class: 'PinturaMeasure',\n        style: 'position:absolute;left:0;top:0;width:99999px;height:0;pointer-events:none;contain:strict;margin:0;padding:0;',\n    });\nlet timeoutId;\nvar appendForMeasuring = (element) => {\n    // replace element children with this child\n    fn$1(container, element);\n    // append to DOM if not in it atm\n    if (!container.parentNode)\n        document.body.append(container);\n    // auto detach from DOM after it isn't used for a little while\n    clearTimeout(timeoutId);\n    timeoutId = setTimeout(() => {\n        container.remove();\n    }, 500);\n    // return added element for measuring\n    return element;\n};\n\nlet result$9 = null;\nvar isSafari = () => {\n    if (result$9 === null)\n        result$9 =\n            isBrowser() && /^((?!chrome|android).)*(safari|iphone|ipad)/i.test(navigator.userAgent); // added |iphone|ipad as safari is not present in WebView on React Native\n    return result$9;\n};\n\nvar getImageElementSize = (imageElement) => new Promise((resolve, reject) => {\n    let shouldAutoRemove = false;\n    // test if image is attached to DOM, if not attached, attach so measurement is correct on Safari\n    if (!imageElement.parentNode && isSafari()) {\n        shouldAutoRemove = true;\n        // has width 0 and height 0 to prevent rendering very big SVGs (without width and height) that will for one frame overflow the window and show a scrollbar\n        imageElement.style.cssText = `position:absolute;visibility:hidden;pointer-events:none;left:0;top:0;width:0;height:0;`;\n        appendForMeasuring(imageElement);\n    }\n    // start testing size\n    const measure = () => {\n        const width = imageElement.naturalWidth;\n        const height = imageElement.naturalHeight;\n        const hasSize = width && height;\n        if (!hasSize)\n            return;\n        // clean up image if was attached for measuring\n        if (shouldAutoRemove)\n            imageElement.remove();\n        clearInterval(intervalId);\n        resolve({ width, height });\n    };\n    imageElement.onerror = (err) => {\n        clearInterval(intervalId);\n        reject(err);\n    };\n    const intervalId = setInterval(measure, 1);\n    measure();\n});\n\nvar getVideoElementSize = (element) => new Promise((resolve, reject) => {\n    const done = () => {\n        resolve({\n            width: element.videoWidth,\n            height: element.videoHeight,\n        });\n    };\n    if (element.readyState >= 1)\n        return done();\n    element.onloadedmetadata = done;\n    element.onerror = () => reject(element.error);\n});\n\nvar isImage = (file) => /^image/.test(file.type);\n\nvar getAsVideoOrImageElement = (src) => new Promise((resolve) => {\n    // undetermined or is video\n    const elementSrc = (isString(src) ? src : URL.createObjectURL(src));\n    const createImage = () => {\n        const image = new Image();\n        image.src = elementSrc;\n        resolve(image);\n    };\n    // we can already know it's an image\n    if (src instanceof Blob && isImage(src))\n        return createImage();\n    // try video first\n    const element = document.createElement('video');\n    element.preload = 'metadata';\n    element.onloadedmetadata = () => resolve(element);\n    // when errors we switch to image\n    element.onerror = createImage;\n    element.src = elementSrc;\n});\n\nvar isVideoElement = (element) => element.nodeName === 'VIDEO';\n\n// TODO: video rename function\nvar getImageSize = async (src) => {\n    // the image element we'll use to load the image\n    let mediaElement;\n    // if is not an image or video element, it must be a valid image or video source\n    if (!src['src']) {\n        mediaElement = await getAsVideoOrImageElement(src);\n    }\n    else {\n        mediaElement = src;\n    }\n    let size;\n    try {\n        size = isVideoElement(mediaElement)\n            ? await getVideoElementSize(mediaElement)\n            : await getImageElementSize(mediaElement);\n    }\n    finally {\n        isFile(src) && URL.revokeObjectURL(mediaElement.src);\n    }\n    return size;\n};\n\nconst awaitComplete = (image) => new Promise((resolve, reject) => {\n    if (image.complete)\n        return resolve(image);\n    image.onload = () => resolve(image);\n    image.onerror = () => reject(new Error('Failed to load image'));\n});\nvar imageToFile = async (imageElement) => {\n    const size = await getImageSize(imageElement);\n    const image = await awaitComplete(imageElement);\n    const canvas = h('canvas', size);\n    const ctx = canvas.getContext('2d', { willReadFrequently: true });\n    ctx.drawImage(image, 0, 0);\n    const blob = await canvasToBlob(canvas);\n    return blobToFile(blob, getFilenameFromURL(image.src));\n};\n\nvar isDataURI = (str) => /^data:/.test(str);\n\nvar createProgressEvent = (loaded = 0, lengthComputable = true) => new (getNativeAPIRef('ProgressEvent'))('progress', {\n    loaded: loaded * 100,\n    total: 100,\n    lengthComputable,\n});\n\nvar dataURIToFile = async (dataURI, filename = 'data-uri', onprogress = noop$1) => {\n    // basic loader, no size info\n    onprogress(createProgressEvent(0));\n    const res = await fetch(dataURI);\n    onprogress(createProgressEvent(0.33));\n    const blob = await res.blob();\n    let mimeType;\n    if (!isImage(blob))\n        mimeType = `image/${dataURI.includes(',/9j/') ? 'jpeg' : 'png'}`;\n    onprogress(createProgressEvent(0.66));\n    const file = blobToFile(blob, filename, mimeType);\n    onprogress(createProgressEvent(1));\n    return file;\n};\n\nvar getResponseHeader = (xhr, header, parse = (header) => header) => xhr.getAllResponseHeaders().indexOf(header) >= 0\n    ? parse(xhr.getResponseHeader(header))\n    : undefined;\n\nvar getFilenameFromContentDisposition = (header) => {\n    if (!header)\n        return null;\n    const matches = header.split(/filename=|filename\\*=.+''/)\n        .splice(1)\n        .map(name => name.trim().replace(/^[\"']|[;\"']{0,2}$/g, ''))\n        .filter(name => name.length);\n    return matches.length ? decodeURI(matches[matches.length - 1]) : null;\n};\n\nconst EditorErrorCode = {\n    URL_REQUEST: 'URL_REQUEST',\n    DOCTYPE_MISSING: 'DOCTYPE_MISSING',\n};\nclass EditorError extends Error {\n    constructor(message, code, metadata) {\n        super(message);\n        this.name = 'EditorError';\n        this.code = code;\n        this.metadata = metadata;\n    }\n}\n\n// should be called after xhr.open\nvar configureXHR = (xhr, options) => {\n    // https://developer.mozilla.org/en-US/docs/Web/API/fetch#parameters\n    // only handles headers and credentials for now\n    const { headers = {}, credentials } = options || {};\n    // apply options to xhr\n    Object.entries(headers).forEach(([header, value]) => xhr.setRequestHeader(header, value));\n    // set xhr withCredentials\n    if (credentials)\n        xhr.withCredentials = credentials !== 'omit';\n};\n\nvar fetchFile = (url, onprogress, options) => new Promise((resolve, reject) => {\n    const handleError = () => reject(new EditorError('Error fetching image', EditorErrorCode.URL_REQUEST, xhr));\n    const xhr = new XMLHttpRequest();\n    xhr.onprogress = onprogress;\n    (xhr.onerror = handleError),\n        (xhr.onload = () => {\n            if (!xhr.response || xhr.status >= 300 || xhr.status < 200)\n                return handleError();\n            // we store the response mime type so we can add it to the blob later on, if it's missing (happens on Safari 10)\n            const mimetype = getResponseHeader(xhr, 'Content-Type');\n            // try to get filename and any file instructions as well\n            const filename = getResponseHeader(xhr, 'Content-Disposition', getFilenameFromContentDisposition) || getFilenameFromURL(url);\n            // convert to actual file if possible\n            resolve(blobToFile(xhr.response, filename, mimetype || getMimeTypeFromFilename(filename)));\n        });\n    // get helper\n    const { willRequest } = options;\n    Promise.resolve(willRequest && willRequest(url, { resourceType: 'image' }))\n        .then((requestInit) => {\n        // don't load image\n        if (requestInit === false)\n            return reject('Image load rejected');\n        // we're good to go\n        xhr.open('GET', url);\n        // set props\n        configureXHR(xhr, requestInit);\n        // fire xhr\n        xhr.responseType = 'blob';\n        xhr.send();\n    })\n        .catch(console.error);\n});\n\nvar urlToFile = (url, onprogress, options) => {\n    // use fetch to create blob from data uri\n    if (isDataURI(url))\n        return dataURIToFile(url, undefined, onprogress);\n    // load file from url\n    return fetchFile(url, onprogress, options);\n};\n\nvar isBlob = (v) => v instanceof Blob && !(v instanceof File);\n\nvar isImageBitmap = (obj) => 'close' in obj;\n\nvar srcToFile = async (src, onprogress, options) => {\n    if (isFile(src) || isBlob(src))\n        return src;\n    else if (isString(src))\n        return await urlToFile(src, onprogress, options);\n    else if (isElement(src, 'canvas'))\n        return await canvasToFile(src);\n    else if (isElement(src, 'img'))\n        return await imageToFile(src);\n    else if (isImageData(src) || isImageBitmap(src))\n        return await canvasToFile(await imageDataToCanvas(src));\n    else {\n        throw new EditorError('Invalid image source', 'invalid-image-source');\n    }\n};\n\nlet result$8 = null;\nvar isMac = () => {\n    if (result$8 === null)\n        result$8 = isBrowser() && /^mac/i.test(navigator.platform);\n    return result$8;\n};\n\nlet result$7 = null;\nvar isIOS = () => {\n    if (result$7 === null)\n        // first part is for iPhones and iPads iOS 12 and below second part is for iPads with iOS 13 and up\n        result$7 =\n            isBrowser() &&\n                (isUserAgent(/iPhone|iPad|iPod/) || (isMac() && navigator.maxTouchPoints >= 1));\n    return result$7;\n};\n\nvar orientImageSize = async (size, orientation = 1) => {\n    // browser can handle image orientation\n    if ((await canOrientImages()) || isIOS())\n        return size;\n    // no need to correct size\n    if (orientation < 5)\n        return size;\n    // correct image size\n    return sizeCreate(size.height, size.width);\n};\n\nvar isJPEG = (file) => /jpeg/.test(file.type);\n\nvar isPlainObject = (obj) => typeof obj == 'object' && obj.constructor == Object;\n\nvar stringify = (value) => (!isPlainObject(value) ? value : JSON.stringify(value));\n\nvar post = (url, dataset, options) => new Promise((resolve, reject) => {\n    const { token = {}, beforeSend = noop$1, onprogress = noop$1 } = options;\n    token.cancel = () => request.abort();\n    const request = new XMLHttpRequest();\n    request.upload.onprogress = onprogress;\n    request.onload = () => request.status >= 200 && request.status < 300 ? resolve(request) : reject(request);\n    request.onerror = () => reject(request);\n    request.ontimeout = () => reject(request);\n    request.open('POST', encodeURI(url));\n    beforeSend(request);\n    request.send(\n    // if is FormData, we use that\n    dataset instanceof FormData\n        ? dataset\n        : // reduce the dataset to FormData\n            dataset.reduce((formData, args) => {\n                // @ts-ignore\n                formData.append(...args.map(stringify));\n                return formData;\n            }, new FormData()));\n});\n\nvar ctxRotate = (ctx, rotation = 0, pivot) => {\n    if (rotation === 0)\n        return ctx;\n    ctx.translate(pivot.x, pivot.y);\n    ctx.rotate(rotation);\n    ctx.translate(-pivot.x, -pivot.y);\n    return ctx;\n};\n\nvar ctxTranslate = (ctx, x, y) => {\n    ctx.translate(x, y);\n    return ctx;\n};\n\nvar ctxScale = (ctx, x, y) => {\n    ctx.scale(x, y);\n    return ctx;\n};\n\nvar cropImageData = async (imageData, options = {}) => {\n    const { flipX, flipY, rotation, crop } = options;\n    const imageSize = sizeCreateFromAny(imageData);\n    const shouldFlip = flipX || flipY;\n    const shouldRotate = !!rotation;\n    const cropDefined = crop && (crop.x || crop.y || crop.width || crop.height);\n    const cropCoversImage = cropDefined && rectEqual(crop, rectCreateFromSize(imageSize));\n    const shouldCrop = cropDefined && !cropCoversImage;\n    // skip!\n    if (!shouldFlip && !shouldRotate && !shouldCrop)\n        return imageData;\n    // create drawing context\n    let imageDataOut;\n    let image = h('canvas', {\n        width: imageData.width,\n        height: imageData.height,\n    });\n    image.getContext('2d', { willReadFrequently: true }).putImageData(imageData, 0, 0);\n    // flip image data\n    if (shouldFlip) {\n        const ctx = h('canvas', {\n            width: image.width,\n            height: image.height,\n        }).getContext('2d', { willReadFrequently: true });\n        ctxScale(ctx, flipX ? -1 : 1, flipY ? -1 : 1);\n        ctx.drawImage(image, flipX ? -image.width : 0, flipY ? -image.height : 0);\n        ctx.restore();\n        releaseCanvas(image);\n        image = ctx.canvas;\n    }\n    // rotate image data\n    if (shouldRotate) {\n        // if shouldRotate is true we also receive a crop rect\n        const outputSize = sizeApply(sizeCreateFromRect(rectCreateFromPoints(rectRotate(rectCreateFromAny(image), rotation))), Math.floor);\n        const ctx = h('canvas', {\n            width: crop.width,\n            height: crop.height,\n        }).getContext('2d', { willReadFrequently: true });\n        ctxTranslate(ctx, -crop.x, -crop.y);\n        ctxRotate(ctx, rotation, sizeCenter(outputSize));\n        ctx.drawImage(image, (outputSize.width - image.width) * 0.5, (outputSize.height - image.height) * 0.5);\n        ctx.restore();\n        releaseCanvas(image);\n        image = ctx.canvas;\n    }\n    // crop image data\n    else if (shouldCrop) {\n        const ctx = image.getContext('2d', { willReadFrequently: true });\n        imageDataOut = ctx.getImageData(crop.x, crop.y, crop.width, crop.height);\n        releaseCanvas(image);\n        return imageDataOut;\n    }\n    // done, return resulting image data\n    const ctx = image.getContext('2d', { willReadFrequently: true });\n    imageDataOut = ctx.getImageData(0, 0, image.width, image.height);\n    releaseCanvas(image);\n    return imageDataOut;\n};\n\nvar resizeTransform = (options, done) => {\n    const { imageData, width, height } = options;\n    const inputWidth = imageData.width;\n    const inputHeight = imageData.height;\n    const outputWidth = Math.round(width);\n    const outputHeight = Math.round(height);\n    const inputData = imageData.data;\n    const outputData = new Uint8ClampedArray(outputWidth * outputHeight * 4);\n    const scaleX = inputWidth / outputWidth;\n    const scaleY = inputHeight / outputHeight;\n    const scaleXHalf = Math.ceil(scaleX * 0.5);\n    const scaleYHalf = Math.ceil(scaleY * 0.5);\n    for (let j = 0; j < outputHeight; j++) {\n        for (let i = 0; i < outputWidth; i++) {\n            const x2 = (i + j * outputWidth) * 4;\n            let weight = 0;\n            let weights = 0;\n            let weightsAlpha = 0;\n            let r = 0;\n            let g = 0;\n            let b = 0;\n            let a = 0;\n            const centerY = (j + 0.5) * scaleY;\n            for (let yy = Math.floor(j * scaleY); yy < (j + 1) * scaleY; yy++) {\n                const dy = Math.abs(centerY - (yy + 0.5)) / scaleYHalf;\n                const centerX = (i + 0.5) * scaleX;\n                const w0 = dy * dy;\n                for (let xx = Math.floor(i * scaleX); xx < (i + 1) * scaleX; xx++) {\n                    let dx = Math.abs(centerX - (xx + 0.5)) / scaleXHalf;\n                    const w = Math.sqrt(w0 + dx * dx);\n                    if (w < -1 || w > 1)\n                        continue;\n                    weight = 2 * w * w * w - 3 * w * w + 1;\n                    if (weight <= 0)\n                        continue;\n                    dx = 4 * (xx + yy * inputWidth);\n                    const ref = inputData[dx + 3];\n                    a += weight * ref;\n                    weightsAlpha += weight;\n                    if (ref < 255) {\n                        weight = (weight * ref) / 250;\n                    }\n                    r += weight * inputData[dx];\n                    g += weight * inputData[dx + 1];\n                    b += weight * inputData[dx + 2];\n                    weights += weight;\n                }\n            }\n            outputData[x2] = r / weights;\n            outputData[x2 + 1] = g / weights;\n            outputData[x2 + 2] = b / weights;\n            outputData[x2 + 3] = a / weightsAlpha;\n        }\n    }\n    // @ts-ignore\n    done(null, {\n        data: outputData,\n        width: outputWidth,\n        height: outputHeight,\n    });\n};\n\nvar imageDataObjectToImageData = (obj) => {\n    if (obj instanceof ImageData) {\n        return obj;\n    }\n    let imageData;\n    try {\n        imageData = new ImageData(obj.width, obj.height);\n    }\n    catch (err) {\n        // IE + Old EDGE (tested on 12)\n        const canvas = h('canvas');\n        imageData = canvas.getContext('2d').createImageData(obj.width, obj.height);\n    }\n    imageData.data.set(obj.data);\n    return imageData;\n};\n\nvar resizeImageData = async (imageData, options = {}, resizeImageData) => {\n    const { width, height, fit, upscale } = options;\n    // no need to rescale\n    if (!width && !height)\n        return imageData;\n    let targetWidth = width;\n    let targetHeight = height;\n    if (!width) {\n        targetWidth = height;\n    }\n    else if (!height) {\n        targetHeight = width;\n    }\n    if (fit !== 'force') {\n        const scalarWidth = targetWidth / imageData.width;\n        const scalarHeight = targetHeight / imageData.height;\n        let scalar = 1;\n        if (fit === 'cover') {\n            scalar = Math.max(scalarWidth, scalarHeight);\n        }\n        else if (fit === 'contain') {\n            scalar = Math.min(scalarWidth, scalarHeight);\n        }\n        // if image is too small, exit here with original image\n        if (scalar > 1 && upscale === false)\n            return imageData;\n        targetWidth = Math.round(imageData.width * scalar);\n        targetHeight = Math.round(imageData.height * scalar);\n    }\n    // make sure canvas has a size\n    targetWidth = Math.max(targetWidth, 1);\n    targetHeight = Math.max(targetHeight, 1);\n    // no need to resize?\n    if (imageData.width === targetWidth && imageData.height === targetHeight)\n        return imageData;\n    // run custom image data resizer if defined\n    if (resizeImageData)\n        return resizeImageData(imageData, targetWidth, targetHeight);\n    // let's use the included resize method\n    imageData = await thread(resizeTransform, [\n        {\n            imageData: imageData,\n            width: targetWidth,\n            height: targetHeight,\n        },\n    ], [imageData.data.buffer]);\n    // the resizer returns a plain object, not an actual image data object, lets create one\n    return imageDataObjectToImageData(imageData);\n};\n\nvar colorEffect = (options, done) => {\n    const { imageData, matrix } = options;\n    if (!matrix)\n        return done(null, imageData);\n    const outputData = new Uint8ClampedArray(imageData.width * imageData.height * 4);\n    const data = imageData.data;\n    const l = data.length;\n    const m11 = matrix[0];\n    const m12 = matrix[1];\n    const m13 = matrix[2];\n    const m14 = matrix[3];\n    const m15 = matrix[4];\n    const m21 = matrix[5];\n    const m22 = matrix[6];\n    const m23 = matrix[7];\n    const m24 = matrix[8];\n    const m25 = matrix[9];\n    const m31 = matrix[10];\n    const m32 = matrix[11];\n    const m33 = matrix[12];\n    const m34 = matrix[13];\n    const m35 = matrix[14];\n    const m41 = matrix[15];\n    const m42 = matrix[16];\n    const m43 = matrix[17];\n    const m44 = matrix[18];\n    const m45 = matrix[19];\n    let index = 0;\n    let r = 0.0;\n    let g = 0.0;\n    let b = 0.0;\n    let a = 0.0;\n    let mr = 0.0;\n    let mg = 0.0;\n    let mb = 0.0;\n    let ma = 0.0;\n    let or = 0.0;\n    let og = 0.0;\n    let ob = 0.0;\n    for (; index < l; index += 4) {\n        r = data[index] / 255;\n        g = data[index + 1] / 255;\n        b = data[index + 2] / 255;\n        a = data[index + 3] / 255;\n        mr = r * m11 + g * m12 + b * m13 + a * m14 + m15;\n        mg = r * m21 + g * m22 + b * m23 + a * m24 + m25;\n        mb = r * m31 + g * m32 + b * m33 + a * m34 + m35;\n        ma = r * m41 + g * m42 + b * m43 + a * m44 + m45;\n        or = Math.max(0, mr * ma) + (1.0 - ma);\n        og = Math.max(0, mg * ma) + (1.0 - ma);\n        ob = Math.max(0, mb * ma) + (1.0 - ma);\n        outputData[index] = Math.max(0.0, Math.min(1.0, or)) * 255;\n        outputData[index + 1] = Math.max(0.0, Math.min(1.0, og)) * 255;\n        outputData[index + 2] = Math.max(0.0, Math.min(1.0, ob)) * 255;\n        outputData[index + 3] = a * 255;\n    }\n    // @ts-ignore\n    done(null, {\n        data: outputData,\n        width: imageData.width,\n        height: imageData.height,\n    });\n};\n\nvar convolutionEffect = (options, done) => {\n    const { imageData, matrix } = options;\n    if (!matrix)\n        return done(null, imageData);\n    // calculate kernel weight\n    let kernelWeight = matrix.reduce((prev, curr) => prev + curr);\n    kernelWeight = kernelWeight <= 0 ? 1 : kernelWeight;\n    // input info\n    const inputWidth = imageData.width;\n    const inputHeight = imageData.height;\n    const inputData = imageData.data;\n    let i = 0;\n    let x = 0;\n    let y = 0;\n    const side = Math.round(Math.sqrt(matrix.length));\n    const sideHalf = Math.floor(side / 2);\n    let r = 0, g = 0, b = 0, a = 0, cx = 0, cy = 0, scy = 0, scx = 0, srcOff = 0, weight = 0;\n    const outputData = new Uint8ClampedArray(inputWidth * inputHeight * 4);\n    for (y = 0; y < inputHeight; y++) {\n        for (x = 0; x < inputWidth; x++) {\n            // calculate the weighed sum of the source image pixels that\n            // fall under the convolution matrix\n            r = 0;\n            g = 0;\n            b = 0;\n            a = 0;\n            for (cy = 0; cy < side; cy++) {\n                for (cx = 0; cx < side; cx++) {\n                    scy = y + cy - sideHalf;\n                    scx = x + cx - sideHalf;\n                    if (scy < 0) {\n                        scy = inputHeight - 1;\n                    }\n                    if (scy >= inputHeight) {\n                        scy = 0;\n                    }\n                    if (scx < 0) {\n                        scx = inputWidth - 1;\n                    }\n                    if (scx >= inputWidth) {\n                        scx = 0;\n                    }\n                    srcOff = (scy * inputWidth + scx) * 4;\n                    weight = matrix[cy * side + cx];\n                    r += inputData[srcOff] * weight;\n                    g += inputData[srcOff + 1] * weight;\n                    b += inputData[srcOff + 2] * weight;\n                    a += inputData[srcOff + 3] * weight;\n                }\n            }\n            outputData[i] = r / kernelWeight;\n            outputData[i + 1] = g / kernelWeight;\n            outputData[i + 2] = b / kernelWeight;\n            outputData[i + 3] = a / kernelWeight;\n            i += 4;\n        }\n    }\n    // @ts-ignore\n    done(null, {\n        data: outputData,\n        width: inputWidth,\n        height: inputHeight,\n    });\n};\n\nvar vignetteEffect = (options, done) => {\n    let { imageData, strength } = options;\n    if (!strength)\n        return done(null, imageData);\n    const outputData = new Uint8ClampedArray(imageData.width * imageData.height * 4);\n    const inputWidth = imageData.width;\n    const inputHeight = imageData.height;\n    const inputData = imageData.data;\n    const dist = (x, y) => {\n        dx = x - cx;\n        dy = y - cy;\n        return Math.sqrt(dx * dx + dy * dy);\n    };\n    let x = 0;\n    let y = 0;\n    let cx = inputWidth * 0.5;\n    let cy = inputHeight * 0.5;\n    let dx;\n    let dy;\n    let dm = dist(0, 0);\n    let fr, fg, fb;\n    let br, bg, bb, ba;\n    let fa;\n    let ca;\n    const blend = (index, input, output, alpha) => {\n        br = input[index] / 255;\n        bg = input[index + 1] / 255;\n        bb = input[index + 2] / 255;\n        ba = input[index + 3] / 255;\n        fa = 1.0 - alpha;\n        ca = fa * ba + alpha;\n        output[index] = ((fa * ba * br + alpha * fr) / ca) * 255;\n        output[index + 1] = ((fa * ba * bg + alpha * fg) / ca) * 255;\n        output[index + 2] = ((fa * ba * bb + alpha * fb) / ca) * 255;\n        output[index + 3] = ca * 255;\n    };\n    if (strength > 0) {\n        fr = 0;\n        fg = 0;\n        fb = 0;\n    }\n    else {\n        strength = Math.abs(strength);\n        fr = 1;\n        fg = 1;\n        fb = 1;\n    }\n    for (y = 0; y < inputHeight; y++) {\n        for (x = 0; x < inputWidth; x++) {\n            blend(\n            // index\n            (x + y * inputWidth) * 4, \n            // data in\n            inputData, \n            // data out\n            outputData, \n            // opacity\n            (dist(x, y) * strength) / dm);\n        }\n    }\n    // @ts-ignore\n    done(null, {\n        data: outputData,\n        width: imageData.width,\n        height: imageData.height,\n    });\n};\n\nvar noiseEffect = (options, done) => {\n    const { imageData, level, monochrome = false } = options;\n    if (!level)\n        return done(null, imageData);\n    const outputData = new Uint8ClampedArray(imageData.width * imageData.height * 4);\n    const data = imageData.data;\n    const l = data.length;\n    let index = 0;\n    let r;\n    let g;\n    let b;\n    const rand = () => (-1 + Math.random() * 2) * 255 * level;\n    const pixel = monochrome\n        ? () => {\n            const average = rand();\n            return [average, average, average];\n        }\n        : () => {\n            return [rand(), rand(), rand()];\n        };\n    for (; index < l; index += 4) {\n        [r, g, b] = pixel();\n        outputData[index] = data[index] + r;\n        outputData[index + 1] = data[index + 1] + g;\n        outputData[index + 2] = data[index + 2] + b;\n        outputData[index + 3] = data[index + 3];\n    }\n    // @ts-ignore\n    done(null, {\n        data: outputData,\n        width: imageData.width,\n        height: imageData.height,\n    });\n};\n\nvar gammaEffect = (options, done) => {\n    const { imageData, level } = options;\n    if (!level)\n        return done(null, imageData);\n    const outputData = new Uint8ClampedArray(imageData.width * imageData.height * 4);\n    const data = imageData.data;\n    const l = data.length;\n    let index = 0;\n    let r;\n    let g;\n    let b;\n    for (; index < l; index += 4) {\n        r = data[index] / 255;\n        g = data[index + 1] / 255;\n        b = data[index + 2] / 255;\n        outputData[index] = Math.pow(r, level) * 255;\n        outputData[index + 1] = Math.pow(g, level) * 255;\n        outputData[index + 2] = Math.pow(b, level) * 255;\n        outputData[index + 3] = data[index + 3];\n    }\n    // @ts-ignore\n    done(null, {\n        data: outputData,\n        width: imageData.width,\n        height: imageData.height,\n    });\n};\n\nvar isIdentityMatrix = (matrix) => {\n    /*\n    [\n        1, 0, 0, 0, 0\n        0, 1, 0, 0, 0\n        0, 0, 1, 0, 0\n        0, 0, 0, 1, 0\n    ]\n    */\n    const l = matrix.length;\n    let v;\n    const s = l >= 20 ? 6 : l >= 16 ? 5 : 3;\n    for (let i = 0; i < l; i++) {\n        v = matrix[i];\n        if (v === 1 && i % s !== 0)\n            return false;\n        else if (v !== 0 && v !== 1)\n            return false;\n    }\n    return true;\n};\n\nvar filterImageData = async (imageData, options = {}) => {\n    const { colorMatrix, convolutionMatrix, gamma: gammaLevel, noise: noiseLevel, vignette: vignetteStrength, } = options;\n    // filters\n    const filters = [];\n    // apply convolution matrix\n    if (convolutionMatrix) {\n        filters.push([convolutionEffect, { matrix: convolutionMatrix.clarity }]);\n    }\n    // apply noise\n    if (gammaLevel > 0) {\n        filters.push([gammaEffect, { level: 1.0 / gammaLevel }]);\n    }\n    // apply color matrix\n    if (colorMatrix && !isIdentityMatrix(colorMatrix)) {\n        filters.push([colorEffect, { matrix: colorMatrix }]);\n    }\n    // apply noise\n    if (noiseLevel > 0 || noiseLevel < 0) {\n        filters.push([noiseEffect, { level: noiseLevel }]);\n    }\n    // apply vignette\n    if (vignetteStrength > 0 || vignetteStrength < 0) {\n        filters.push([vignetteEffect, { strength: vignetteStrength }]);\n    }\n    // no changes\n    if (!filters.length)\n        return imageData;\n    // builds effect chain\n    const chain = (transforms, i) => `(err, imageData) => {\n            (${transforms[i][0].toString()})(Object.assign({ imageData: imageData }, filterInstructions[${i}]), \n                ${transforms[i + 1] ? chain(transforms, i + 1) : 'done'})\n        }`;\n    const filterChain = `function (options, done) {\n        const filterInstructions = options.filterInstructions;\n        const imageData = options.imageData;\n        (${chain(filters, 0)})(null, imageData)\n    }`;\n    imageData = await thread(filterChain, [\n        {\n            imageData: imageData,\n            filterInstructions: filters.map((t) => t[1]),\n        },\n    ], [imageData.data.buffer]);\n    // the resizer returns a plain object, not an actual image data object, lets create one\n    return imageDataObjectToImageData(imageData);\n};\n\nvar isNumber = (v) => typeof v === 'number';\n\nvar isEmoji = (str) => isString(str) &&\n    str.match(/(?:[\\u2700-\\u27bf]|(?:\\ud83c[\\udde6-\\uddff]){2}|[\\ud800-\\udbff][\\udc00-\\udfff]|[\\u0023-\\u0039]\\ufe0f?\\u20e3|\\u3299|\\u3297|\\u303d|\\u3030|\\u24c2|\\ud83c[\\udd70-\\udd71]|\\ud83c[\\udd7e-\\udd7f]|\\ud83c\\udd8e|\\ud83c[\\udd91-\\udd9a]|\\ud83c[\\udde6-\\uddff]|\\ud83c[\\ude01-\\ude02]|\\ud83c\\ude1a|\\ud83c\\ude2f|\\ud83c[\\ude32-\\ude3a]|\\ud83c[\\ude50-\\ude51]|\\u203c|\\u2049|[\\u25aa-\\u25ab]|\\u25b6|\\u25c0|[\\u25fb-\\u25fe]|\\u00a9|\\u00ae|\\u2122|\\u2139|\\ud83c\\udc04|[\\u2600-\\u26FF]|\\u2b05|\\u2b06|\\u2b07|\\u2b1b|\\u2b1c|\\u2b50|\\u2b55|\\u231a|\\u231b|\\u2328|\\u23cf|[\\u23e9-\\u23f3]|[\\u23f8-\\u23fa]|\\ud83c\\udccf|\\u2934|\\u2935|[\\u2190-\\u21ff])/g) !== null;\n\nvar hasProp = (obj, key) => obj.hasOwnProperty(key);\n\nvar isArray = (arr) => Array.isArray(arr);\n\nvar isApple = () => isIOS() || isMac();\n\nvar isWindows = () => /^win/i.test(navigator.platform);\n\n// macos:   font-size: 123, x: 63.5, y: 110\n// windows: font-size: 112, x: 64, y: 103\n// android: font-size: 112, x: 64, y: 102\nlet x = 64;\nlet y = 102;\nlet fontSize = 112;\nlet hasSetValues = false;\nvar getEmojiSVG = (emoji, alt) => {\n    if (!hasSetValues && isBrowser()) {\n        if (isWindows())\n            y = 103;\n        if (isApple()) {\n            x = 63.5;\n            y = 110;\n            fontSize = 123;\n        }\n        hasSetValues = true;\n    }\n    return `<svg${alt ? ` aria-label=\"${alt}\"` : ''} width=\"128\" height=\"128\" viewBox=\"0 0 128 128\" preserveAspectRatio=\"xMinYMin meet\" xmlns=\"http://www.w3.org/2000/svg\"><text x=\"${x}\" y=\"${y}\" alignment-baseline=\"text-top\" dominant-baseline=\"text-top\" text-anchor=\"middle\" font-size=\"${fontSize}px\">${emoji}</text></svg>`;\n};\n\nvar SVGToDataURL = (svg) => `data:image/svg+xml,${svg.replace('<', '%3C').replace('>', '%3E')}`;\n\nvar isBinary = (v) => v instanceof Blob;\n\nvar toPercentage = (value, total) => `${(value / total) * 100}%`;\n\nvar colorArrayToRGBA = (color) => `rgba(${Math.round(color[0] * 255)}, ${Math.round(color[1] * 255)}, ${Math.round(color[2] * 255)}, ${isNumber(color[3]) ? color[3] : 1})`;\n\n// tested and this seems a tiny bit faster than JSON.stringify\nvar objectUID = (obj) => Object.values(obj).join('_');\n\nvar timeout = (timeout = 0) => new Promise((resolve) => {\n    setTimeout(resolve, timeout);\n});\n\n// cannot use a ObjectURL because of a webkit bug (throws error in chrome / safari)\n// returns true if every pixel's uint32 representation is 0 (or \"blank\")\nconst isContextBlank = (ctx) => {\n    const buffer = new Uint32Array(ctx.getImageData(0, 0, ctx.canvas.width, ctx.canvas.height).data.buffer);\n    return !buffer.some((color) => color !== 0);\n};\nconst width = 80;\nconst height = 80;\nconst whenSVGSafeForDrawing = async (img, delay = 0) => {\n    // Safari has some trouble with custom fonts\n    const canvas = h('canvas', { width, height });\n    const ctx = canvas.getContext('2d');\n    // always wait a short while because it's never ready on first draw\n    await timeout(delay);\n    // we draw the image so we can test if the content is drawn. If custom font isn't ready the canvas will be empty\n    ctx.drawImage(img, 0, 0, width, height);\n    if (isContextBlank(ctx) && delay <= 256)\n        return await whenSVGSafeForDrawing(img, delay + 16);\n    return true;\n};\n// store cached draw cycles here\nconst safariDrawCache = new Map();\nvar svgToImage = (svg, { safariCacheKey = '*' } = {}) => new Promise((resolve, reject) => {\n    const img = new Image();\n    img.onerror = () => reject(new Error('Failed to load SVG'));\n    img.onload = () => {\n        // uncomment to test difference between SVG as dataURL and SVG in page\n        // if (document.getElementById('foo')) document.getElementById('foo').remove();\n        // document.body.append(\n        //     h('div', {\n        //         id: 'foo',\n        //         style: `\n        //         position:absolute;\n        //         top:0;\n        //         left:0;\n        //         display:flex;\n        //         pointer-events:none;\n        //         z-index:99999999999999;\n        //         filter:invert(100%);\n        //         opacity:.5`,\n        //         innerHTML: svg,\n        //     })\n        // );\n        // We done!\n        if (!isSafari() || !svg.includes('@font-face') || safariDrawCache.has(safariCacheKey))\n            return resolve(img);\n        // wait for embedded fonts to load\n        whenSVGSafeForDrawing(img).then(() => {\n            safariDrawCache.set(safariCacheKey, true);\n            resolve(img);\n        });\n    };\n    img.src = 'data:image/svg+xml,' + svg;\n    // uncomment to test difference between SVG as dataURL and SVG in page\n    // const dupe = img.cloneNode() as HTMLElement;\n    // if (document.getElementById('bar')) document.getElementById('bar').remove();\n    // document.body.append(dupe);\n    // dupe.id = 'bar';\n    // dupe.style.cssText = `\n    // pointer-events:none;\n    // z-index:99999999999999;\n    // position:absolute;\n    // top:0;\n    // left:0;`;\n});\n\nvar blobToDataURL = (blob) => new Promise((resolve, reject) => {\n    const reader = new FileReader();\n    reader.onerror = () => reject(reader.error);\n    reader.onload = () => resolve(reader.result);\n    reader.readAsDataURL(blob);\n});\n\nvar pubsub = () => {\n    let subs = [];\n    return {\n        sub: (event, callback) => {\n            subs.push({ event, callback });\n            return () => (subs = subs.filter((subscriber) => subscriber.event !== event || subscriber.callback !== callback));\n        },\n        pub: (event, value) => {\n            subs\n                .filter((sub) => sub.event === event)\n                .forEach((sub) => sub.callback(value));\n        }\n    };\n};\n\nlet result$6 = null;\nvar isFirefox = () => {\n    if (result$6 === null)\n        result$6 = isUserAgent(/Firefox/);\n    return result$6;\n};\n\n// used to make sure text is drawn outside of element in a correct way\nconst TextPadding = 32;\nconst textGetInitialLineOffset = ({ fontSize = 16, lineHeight = 20 } = {}) => Math.max(0, fontSize - lineHeight) * 0.5;\nconst textGetLineCount = (text = '') => text.split('\\n').length;\nconst textGetStyles = ({ color = [0, 0, 0], fontSize = 16, fontFamily = 'sans-serif', fontVariant = 'normal', fontWeight = 'normal', fontStyle = 'normal', textAlign = 'left', lineHeight = 20, }, scalar = 1) => `font-size:${fontSize * scalar}px;font-style:${fontStyle};font-weight:${fontWeight};font-family:${fontFamily};font-variant:${fontVariant};line-height:${lineHeight * scalar}px;text-align:${textAlign};color:${colorArrayToRGBA(color)};`;\nconst textGetContentEditableStyles = (text, options, scalar = 1) => {\n    const { width, height, disableNewline } = options;\n    const isAutoWidth = !width;\n    const allowNewline = disableNewline === false ? textGetLineCount(text) : undefined;\n    const widthValue = isAutoWidth ? 'auto' : `${width * scalar}px`;\n    const heightValue = height ? `${height * scalar}px` : 'auto';\n    const wordBreak = isAutoWidth ? 'normal' : 'break-word';\n    const whiteSpace = isAutoWidth && !allowNewline ? 'nowrap' : 'pre-line';\n    const paddingTop = textGetInitialLineOffset(options) * scalar;\n    return `max-width:none;min-width:auto;width:${widthValue};height:${heightValue};margin-top:0;margin-bottom:0;padding-top:${paddingTop}px;word-break:${wordBreak};word-wrap:normal;white-space:${whiteSpace};`;\n};\nconst TextMeasureCache = new Map();\nconst toParts = (node) => {\n    const parts = [];\n    for (const childNode of Array.from(node.childNodes)) {\n        if (childNode.nodeType === Node.TEXT_NODE) {\n            parts.push(textToLines(childNode));\n        }\n        else {\n            parts.push(...toParts(childNode));\n        }\n    }\n    return parts;\n};\nconst MeasureStyles = 'pointer-events:none;visibility:hidden;position:absolute;left:0;top:0;';\nconst textMeasure = (text = '', options) => {\n    // gather props that impact size and test if can be found in cache\n    let { width = 0, height = 'auto', fontSize, fontFamily, lineHeight, fontWeight, fontStyle, fontVariant, } = options;\n    const uid = objectUID({\n        text,\n        fontFamily,\n        fontWeight,\n        fontStyle,\n        fontVariant,\n        fontSize,\n        lineHeight,\n        width,\n        height,\n    });\n    let measurement = TextMeasureCache.get(uid);\n    if (measurement)\n        return measurement;\n    // firefox limits font size to 1000px, so if we're above, we scale down before measuring and then scale up after measuring\n    let fontScalar = 1;\n    if (fontSize > 1000 && isFirefox()) {\n        fontScalar = fontSize / 1000;\n        fontSize = 1000;\n        lineHeight = lineHeight * fontScalar;\n    }\n    const element = appendForMeasuring(h('pre', {\n        contenteditable: 'true',\n        spellcheck: 'false',\n        style: `${MeasureStyles}${textGetStyles({\n            fontFamily,\n            fontWeight,\n            fontStyle,\n            fontVariant,\n            fontSize,\n            lineHeight,\n        })};${textGetContentEditableStyles(text, options)}\"`,\n        innerHTML: text,\n    }));\n    const elementRect = element.getBoundingClientRect();\n    // @ts-ignore\n    const elementTextParts = toParts(element).flat();\n    measurement = {\n        // @ts-ignore\n        signature: elementTextParts.map((line) => line.text).join('_;_'),\n        textSize: sizeApply(sizeCreateFromAny(elementRect), (v) => Math.ceil(v * fontScalar)),\n    };\n    TextMeasureCache.set(uid, measurement);\n    // clean up measured elements\n    element.remove();\n    return measurement;\n};\nconst textToLines = (node) => {\n    const text = node.nodeValue;\n    if (!text)\n        return [];\n    const textLength = text.length;\n    const range = document.createRange();\n    range.selectNodeContents(node);\n    const lines = [];\n    for (let i = 0; i < textLength; i++) {\n        range.setStart(node, 0);\n        range.setEnd(node, i + 1);\n        // which line are we at\n        const lineIndex = range.getClientRects().length - 1;\n        // get current character\n        const char = text.charAt(i);\n        // new line, or add to current line\n        if (!lines[lineIndex])\n            lines.push(char);\n        else\n            lines[lineIndex] += char;\n    }\n    // merge text and rects\n    const clientRects = range.getClientRects();\n    return lines.map((line, index) => ({\n        rect: clientRects[index],\n        text: line,\n    }));\n};\nconst TextSizeCache = new Map();\nconst textToSize = (text = '', options) => {\n    const { width = 0, height = 0 } = options;\n    if (width && height)\n        return sizeCreate(width, height);\n    // gather props that impact size and test if can be found in cache\n    let { fontSize = 16, fontFamily, lineHeight = 20, fontWeight, fontStyle, fontVariant, } = options;\n    const uid = objectUID({\n        text,\n        fontFamily,\n        fontWeight,\n        fontStyle,\n        fontVariant,\n        fontSize,\n        lineHeight,\n        width,\n    });\n    let size = TextSizeCache.get(uid);\n    if (size)\n        return size;\n    // firefox limits font size to 1000px, so if we're above, we scale down before measuring and then scale up after measuring\n    let fontScalar = 1;\n    if (fontSize > 1000 && isFirefox()) {\n        fontScalar = fontSize / 1000;\n        fontSize = 1000;\n        lineHeight = lineHeight / fontScalar;\n    }\n    // new measurement needed\n    const element = appendForMeasuring(h('pre', {\n        contenteditable: 'true',\n        spellcheck: 'false',\n        style: `${MeasureStyles}${textGetStyles({\n            ...options,\n            fontSize,\n            lineHeight,\n        })};${textGetContentEditableStyles(text, options)}\"`,\n        innerHTML: text,\n    }));\n    const rect = element.getBoundingClientRect();\n    size = sizeCreateFromAny(rect);\n    // add additional height to prevent cutting off footer\n    size.height += Math.max(0, fontSize - lineHeight);\n    // cache measurement for next query\n    size = sizeApply(size, (v) => v * fontScalar);\n    // use fixed width if supplied\n    if (width)\n        size.width = width;\n    TextSizeCache.set(uid, size);\n    return size;\n};\nconst getPathFromURL = (url) => url.pathname.split('/').slice(0, -1).join('/');\nconst createStyleSheetLoader = (url, willRequest) => {\n    const { sub, pub } = pubsub();\n    let text;\n    let error;\n    Promise.resolve(willRequest && willRequest(url, { resourceType: 'stylesheet' })).then((requestInit) => {\n        // prevent load\n        if (requestInit === false) {\n            error = 'requestPrevented';\n            return pub('error', error);\n        }\n        // get props\n        const { headers, credentials } = requestInit || {};\n        // fetching\n        fetch(url, { headers, credentials })\n            .then((res) => res.text())\n            .then((txt) => {\n            text = txt;\n            pub('load', text);\n        })\n            .catch((err) => {\n            error = err;\n            pub('error', error);\n        });\n    });\n    return {\n        sub: (event, cb) => {\n            if (event === 'load' && text)\n                return cb(text);\n            if (event === 'error' && error)\n                return cb(error);\n            sub(event, cb);\n        },\n    };\n};\nconst StyleSheetLoaders = new Map();\nconst loadStylesheet = (url, willRequest) => new Promise((resolve, reject) => {\n    let loader = StyleSheetLoaders.get(url);\n    if (typeof loader === 'undefined') {\n        loader = createStyleSheetLoader(url, willRequest);\n        StyleSheetLoaders.set(url, loader);\n    }\n    loader.sub('load', resolve);\n    loader.sub('error', reject);\n});\n// use this method to access rules because when accessing third party stylesheetes like google fonts it will throw a warning\nconst getRulesRemote = async (src, willRequest) => {\n    // could not access, let's try to load\n    let styleSheetContent;\n    try {\n        styleSheetContent = await loadStylesheet(src, willRequest);\n    }\n    catch (err) {\n        return [];\n    }\n    const style = h('style', {\n        innerHTML: styleSheetContent,\n        id: getUniqueId(),\n    });\n    document.head.append(style);\n    const tempStyleSheet = Array.from(document.styleSheets).find((styleSheet) => {\n        const node = styleSheet.ownerNode;\n        return node.id === style.id;\n    });\n    style.remove();\n    return Array.from(tempStyleSheet.cssRules);\n};\nconst RemoteStyleSheetRulesCache = new Map();\nconst filterFontFaceRules = (rules) => rules.filter((rule) => rule instanceof CSSFontFaceRule);\nconst filterImportRules = (rules) => rules.filter((rule) => rule instanceof CSSImportRule);\nconst getFontFaceRulesSafe = async (styleSheet, willRequest) => {\n    // if cached rules, return\n    if (RemoteStyleSheetRulesCache.has(styleSheet.href))\n        return RemoteStyleSheetRulesCache.get(styleSheet.href);\n    // try to get rules\n    let rules;\n    try {\n        // get all rules\n        rules = Array.from(styleSheet.cssRules);\n        // get @imports\n        for (const importRule of filterImportRules(rules)) {\n            const url = importRule.href;\n            // already loaded this one before\n            if (RemoteStyleSheetRulesCache.has(url)) {\n                const remoteRules = RemoteStyleSheetRulesCache.get(url);\n                rules = [...rules, ...remoteRules];\n                continue;\n            }\n            // get remote rules for this @import\n            const remoteRules = await getRulesRemote(url, willRequest);\n            // remember returned rules for next run\n            RemoteStyleSheetRulesCache.set(url, remoteRules);\n            // add found rules\n            rules = [...rules, ...remoteRules];\n        }\n    }\n    catch (err) {\n        const url = styleSheet.href;\n        // this tries to load the styles with `fetch`\n        rules = await getRulesRemote(url, willRequest);\n        // remember returned rules for next run\n        RemoteStyleSheetRulesCache.set(url, rules);\n    }\n    // only interested in font face rules\n    return filterFontFaceRules(rules);\n};\nconst getCSSPropertyValue = (rule, name) => rule.style.getPropertyValue(name);\nconst isMatchingFontRule = (rule, fontFamily) => {\n    if (!rule.style)\n        return false;\n    const family = getCSSPropertyValue(rule, 'font-family').replace(/^\"|\"$/g, '');\n    return family == fontFamily;\n};\nconst getMatchingFontRule = (rules, fontFamily) => {\n    const res = [];\n    for (const fontRule of rules) {\n        const isMatch = isMatchingFontRule(fontRule, fontFamily);\n        if (!isMatch)\n            continue;\n        res.push(fontRule);\n    }\n    return res;\n};\nconst getDocumentStylesheetFontFaceRules = async (willRequest) => {\n    const styleSheets = Array.from(document.styleSheets).map((styleSheet) => getFontFaceRulesSafe(styleSheet, willRequest));\n    const ruleSets = await Promise.all(styleSheets);\n    const rules = [];\n    ruleSets.forEach((ruleSet) => rules.push(...ruleSet));\n    return rules;\n};\nconst getFontSources = async (fontFamily, willRequest) => {\n    // get matching font face rules\n    const fontFaceRules = await getDocumentStylesheetFontFaceRules(willRequest);\n    // rules matching this font\n    const matchingRules = getMatchingFontRule(fontFaceRules, fontFamily);\n    if (!matchingRules.length)\n        return [];\n    return matchingRules.map((rule) => {\n        // create stylesheet root path so we can determine font path\n        const url = rule.parentStyleSheet.href && new URL(rule.parentStyleSheet.href);\n        const styleSheetPath = url ? url.origin + getPathFromURL(url) + '/' : '';\n        // create font source\n        const fontSources = rule.style.getPropertyValue('src');\n        const fontSrcFirst = fontSources.match(/url\\(\"?(.*?)\"?\\)/)[1];\n        // get styles\n        const fontProps = Array.from(rule.style)\n            .filter((prop) => prop != 'src')\n            .reduce((props, key) => {\n            props += key + ':' + getCSSPropertyValue(rule, key) + ';';\n            return props;\n        }, '');\n        // merge together to create path (Safari font URL is absolute so if it is we only use that url)\n        return [\n            /^http/.test(fontSrcFirst) ? fontSrcFirst : styleSheetPath + fontSrcFirst,\n            fontProps,\n        ];\n    });\n};\nconst FontLocal = new Map();\nconst FontCache = new Map();\n// application/x-font-ttf\n// application/x-font-truetype\n// application/x-font-opentype\n// application/font-woff\n// application/font-woff2\n// font/otf\n// font/ttf\n// font/woff\n// font/woff2\nconst getFontFormatByMimeType = (type) => {\n    if (!type || /woff2/.test(type))\n        return 'woff2';\n    if (/woff/.test(type))\n        return 'woff';\n    if (/ttf|truetype/.test(type))\n        return 'truetype';\n    if (/otf|opentype/.test(type))\n        return 'opentype';\n    if (/svg/.test(type))\n        return 'svg';\n    return 'woff2';\n};\nconst getFontFaceEmbed = async (fontFamily, willRequest) => {\n    // todo test if is local font\n    if (FontLocal.get(fontFamily))\n        return;\n    let fontStyles = FontCache.get(fontFamily);\n    if (!fontStyles) {\n        // not cached yet, let's find the font source and turn it into a dataURL\n        const fontSources = await getFontSources(fontFamily, willRequest);\n        // no source found, is local font\n        if (!fontSources.length) {\n            FontLocal.set(fontFamily, true);\n            return;\n        }\n        const fontFaces = [];\n        for (const [fontSource, fontProps] of fontSources) {\n            const blob = await fetch(fontSource).then((res) => res.blob());\n            const dataType = getFontFormatByMimeType(blob.type);\n            const dataURL = await blobToDataURL(blob);\n            fontFaces.push(`@font-face { src:url(${dataURL}) format('${dataType}');${fontProps};font-display:block; }`);\n        }\n        fontStyles = fontFaces.join('');\n        // cache the font so it's super fast in next request\n        FontCache.set(fontFamily, fontStyles);\n    }\n    return fontStyles;\n};\nvar textToImage = async (text = '', options) => {\n    // exit if no text\n    if (!text.length)\n        return;\n    let { imageWidth = 300, imageHeight = 150, paddingLeft = TextPadding, paddingRight = TextPadding, fontFamily, fontSize, pixelRatio = 1, willRequest, } = options;\n    // manage high font-size on firefox, don't blanket handle it here as Chrome has trouble scaling svg context\n    let fontScalar = 1;\n    let fontScalarStyles = '';\n    if (fontSize > 1000 && isFirefox()) {\n        fontScalar = fontSize / 1000;\n        fontScalarStyles = `transform-origin:0 0;transform:scale(${fontScalar})`;\n    }\n    const computedScalar = pixelRatio / fontScalar;\n    const width = (imageWidth + paddingLeft + paddingRight) * pixelRatio;\n    const height = imageHeight * pixelRatio;\n    const textStyles = textGetStyles({ ...options, fontSize }, computedScalar);\n    const textContentEditableStyles = textGetContentEditableStyles(text, options, computedScalar);\n    const fontEmbed = await getFontFaceEmbed(fontFamily, willRequest);\n    // make sure text is encoded as characters before rendering in our SVG\n    let textEncoded = text\n        // these characters need to be encoded in an SVG dataURL\n        .replace(/%/g, '%25')\n        .replace(/#/g, '%23')\n        .replace(/&nbsp;/g, '\\u00a0')\n        // replace non escaped ampersands\n        .replace(/&(?!#\\d{4};|[a-z]+;)/gi, '&amp;');\n    // no non-closing tags allowed in foreignObject as is xhtml namespace,  safari and firefox don't draw newline character so replace with <br/>\n    const textFinal = textEncoded.replace(/<br>|\\n/g, '<br/>');\n    // build svg string\n    const svg = `<svg xmlns=\"http://www.w3.org/2000/svg\" width=\"${width}\" height=\"${height}\" viewBox=\"0 0 ${width} ${height}\"><foreignObject x=\"0\" y=\"0\" width=\"${width}\" height=\"${height}\"><div xmlns=\"http://www.w3.org/1999/xhtml\">${fontEmbed ? `<style>${fontEmbed}</style>` : ''}<pre contenteditable=\"true\" spellcheck=\"false\" style=\"position:absolute;padding-right:${paddingRight * computedScalar}px;padding-left:${paddingLeft * computedScalar}px;${textStyles};${textContentEditableStyles};${fontScalarStyles}\">${textFinal}</pre></div></foreignObject></svg>`;\n    return svgToImage(svg, { safariCacheKey: fontFamily });\n};\n\nconst shapeEqual = (a, b) => {\n    return JSON.stringify(a) === JSON.stringify(b);\n};\nconst shapeDeepCopy = (shape) => {\n    const shapeShallowCopy = { ...shape };\n    const shapeDeepCopy = deepCopy(shapeShallowCopy);\n    return shapeDeepCopy;\n};\nconst getContextSize = (context, size = {}) => {\n    const contextAspectRatio = rectAspectRatio(context);\n    let xOut;\n    let yOut;\n    const xIn = size.width || size.rx;\n    const yIn = size.height || size.ry;\n    if (xIn && yIn)\n        return sizeClone(size);\n    if (xIn || yIn) {\n        xOut = parseFloat(xIn || Number.MAX_SAFE_INTEGER);\n        yOut = parseFloat(yIn || Number.MAX_SAFE_INTEGER);\n        const min = Math.min(xOut, yOut);\n        if (isString(xIn) || isString(yIn)) {\n            xOut = `${min}%`;\n            yOut = `${min * contextAspectRatio}%`;\n        }\n        else {\n            xOut = min;\n            yOut = min;\n        }\n    }\n    else {\n        const min = 10;\n        xOut = `${min}%`;\n        yOut = `${min * contextAspectRatio}%`;\n    }\n    const xProp = size.width ? 'width' : size.rx ? 'rx' : undefined;\n    const yProp = size.width ? 'height' : size.rx ? 'ry' : undefined;\n    return {\n        [xProp || 'width']: xOut,\n        [yProp || 'height']: yOut,\n    };\n};\nconst shapeCreateFromEmoji = (emoji, props = {}) => {\n    return {\n        width: undefined,\n        height: undefined,\n        ...props,\n        aspectRatio: 1,\n        backgroundImage: SVGToDataURL(getEmojiSVG(emoji)),\n    };\n};\nconst shapeCreateFromImage = (src, shapeProps = {}) => {\n    const shapeDefaultLayout = shapeIsEllipse(shapeProps)\n        ? {}\n        : {\n            width: undefined,\n            height: undefined,\n            aspectRatio: undefined,\n        };\n    const shape = {\n        // required/default image shape props\n        backgroundColor: [0, 0, 0, 0],\n        // set default layout props\n        ...shapeDefaultLayout,\n        // merge with custom props\n        ...shapeProps,\n        // set image\n        backgroundImage: \n        // is svg or URL\n        isString(src) ? src : isBinary(src) ? URL.createObjectURL(src) : src,\n    };\n    return shape;\n};\nconst shapeCreateFromPreset = (preset, parentRect) => {\n    let shape;\n    if (isString(preset) || isBinary(preset)) {\n        // default props for \"quick\" preset\n        const shapeOptions = {\n            ...getContextSize(parentRect),\n            backgroundSize: 'contain',\n        };\n        // if is emoji, create default markup,\n        if (isEmoji(preset)) {\n            shape = shapeCreateFromEmoji(preset, shapeOptions);\n        }\n        // is URL, create default markup for image\n        else {\n            shape = shapeCreateFromImage(preset, shapeOptions);\n        }\n    }\n    else {\n        // is using src shortcut\n        if (preset.src) {\n            const contextSize = getContextSize(parentRect, preset.shape || preset);\n            // shape options\n            const shapeOptions = {\n                // default shape styles\n                ...preset.shape,\n                // precalcualte size of shape in context\n                ...contextSize,\n            };\n            // should auto-fix aspect ratio\n            if (preset.width && preset.height && !hasProp(shapeOptions, 'aspectRatio')) {\n                const width = shapeGetPropPixelValue(contextSize, 'width', parentRect);\n                const height = shapeGetPropPixelValue(contextSize, 'height', parentRect);\n                shapeOptions.aspectRatio = getAspectRatio(width, height);\n            }\n            // should auto-contain sticker in container\n            if (!shapeOptions.backgroundSize && !preset.shape && (!preset.width || !preset.height))\n                shapeOptions.backgroundSize = 'contain';\n            // emoji markup\n            if (isEmoji(preset.src)) {\n                shape = shapeCreateFromEmoji(preset.src, shapeOptions);\n            }\n            // is url\n            else {\n                shape = shapeCreateFromImage(preset.src, shapeOptions);\n            }\n        }\n        // should have markup defined\n        else if (preset.shape) {\n            shape = shapeDeepCopy(preset.shape);\n        }\n    }\n    if (hasProp(shape, 'backgroundImage')) {\n        // set transparent background if no background color defined\n        if (!hasProp(shape, 'backgroundColor')) {\n            shape.backgroundColor = [0, 0, 0, 0];\n        }\n        // for rectangles with image presets, disable these styles by default\n        if (!hasProp(shape, 'disableStyle')) {\n            shape.disableStyle = ['cornerRadius', 'backgroundColor', 'strokeColor', 'strokeWidth'];\n        }\n    }\n    return parentRect ? shapeComputeDisplay(shape, parentRect) : shape;\n};\nconst shapeLineGetStartPoint = (line) => vectorCreate(line.x1, line.y1);\nconst shapeLineGetEndPoint = (line) => vectorCreate(line.x2, line.y2);\n//#endregion\n//#region shape testing\n// shape types\nconst shapeIsText = (shape) => hasProp(shape, 'text');\nconst shapeIsTextBlock = (shape) => shapeIsText(shape) && !(shapeHasRelativeSize(shape) || hasProp(shape, 'width'));\nconst shapeIsTextBox = (shape) => shapeIsText(shape) && (shapeHasRelativeSize(shape) || hasProp(shape, 'width'));\nconst shapeIsRect = (shape) => !shapeIsText(shape) && shapeHasComputedSize(shape);\nconst shapeIsEllipse = (shape) => hasProp(shape, 'rx');\nconst shapeIsLine = (shape) => hasProp(shape, 'x1');\nconst shapeIsPath = (shape) => hasProp(shape, 'points');\n// shape state\nconst shapeIsTextEmpty = (shape) => shapeIsText(shape) && !shape.text.length;\nconst shapeIsTextEditing = (shape) => shapeIsText(shape) && shape.isEditing;\nconst shapeIsVisible = (shape) => hasProp(shape, 'opacity') ? shape.opacity > 0 : true;\nconst shapeIsSelected = (shape) => shape.isSelected;\nconst shapeIsEditing = (shape) => shape.isEditing;\nconst shapeIsDraft = (shape) => shape._isDraft;\nconst shapeHasSize = (shape) => hasProp(shape, 'width') && hasProp(shape, 'height');\nconst shapeHasNumericStroke = (shape) => isNumber(shape.strokeWidth) && shape.strokeWidth > 0; // only relevant if is bigger than 0\nconst shapeHasRelativePosition = (shape) => {\n    const hasRight = hasProp(shape, 'right');\n    const hasBottom = hasProp(shape, 'bottom');\n    return hasRight || hasBottom;\n};\nconst shapeHasTexture = (shape) => hasProp(shape, 'backgroundImage') || hasProp(shape, 'text');\nconst shapeHasRelativeSize = (shape) => ((hasProp(shape, 'x') || hasProp(shape, 'left')) && hasProp(shape, 'right')) ||\n    ((hasProp(shape, 'y') || hasProp(shape, 'top')) && hasProp(shape, 'bottom'));\nconst shapeHasComputedSize = (shape) => shapeHasSize(shape) || shapeHasRelativeSize(shape);\nconst shapeIsVisibleColor = (shape, colorProp) => {\n    const value = shape[colorProp];\n    if (!value)\n        return false;\n    if (value.length === 3)\n        return true;\n    return value[3] > 0;\n};\nconst shapeHasStroke = (shape) => shape.strokeWidth && shapeIsVisibleColor(shape, 'strokeColor');\n// actions\nconst shapeSelect = (shape) => {\n    shape.isSelected = true;\n    return shape;\n};\nconst shapeMakeDraft = (shape) => {\n    shape._isDraft = true;\n    return shape;\n};\nconst shapeMakeFinal = (shape) => {\n    shape._isDraft = false;\n    return shape;\n};\n// rights\nconst shapeCanStyle = (shape, style) => {\n    if (shape.disableStyle === true)\n        return false;\n    if (isArray(shape.disableStyle) && style) {\n        return !shape.disableStyle.includes(style);\n    }\n    return true;\n};\nconst shapeCanSelect = (shape) => shape.disableSelect !== true;\nconst shapeCanRemove = (shape) => shape.disableRemove !== true;\nconst shapeCanDuplicate = (shape) => shape.disableDuplicate !== true && shapeCanMove(shape);\nconst shapeCanReorder = (shape) => shape.disableReorder !== true;\nconst shapeCanFlip = (shape) => {\n    if (shape.disableFlip)\n        return false;\n    if (shapeIsDraft(shape) || shapeHasRelativePosition(shape))\n        return false;\n    return shapeHasTexture(shape);\n};\nconst shapeCanInput = (shape, input) => {\n    if (!shapeIsText(shape))\n        return false;\n    if (shape.disableInput === true)\n        return false;\n    if (isFunction(shape.disableInput))\n        return shape.disableInput(input != null ? input : shape.text);\n    return input || true;\n};\nconst shapeCanChangeTextLayout = (shape, layout) => {\n    if (shape.disableTextLayout === true)\n        return false;\n    if (isArray(shape.disableTextLayout) && layout) {\n        return !shape.disableTextLayout.includes(layout);\n    }\n    return true;\n};\nconst shapeCanManipulate = (shape) => shape.disableManipulate !== true && !shapeIsDraft(shape) && !shapeHasRelativePosition(shape);\nconst shapeCanMove = (shape) => shapeCanManipulate(shape) && shape.disableMove !== true;\nconst shapeCanResize = (shape) => shapeCanManipulate(shape) &&\n    shapeCanMove(shape) &&\n    shape.disableResize !== true &&\n    (shapeHasSize(shape) ||\n        shapeIsTextBox(shape) ||\n        shapeIsEllipse(shape) ||\n        shapeIsLine(shape) ||\n        (shapeIsPath(shape) && hasProp(shape, 'pathClose')));\nconst shapeCanRotate = (shape) => shapeCanManipulate(shape) &&\n    shape.disableRotate !== true &&\n    (shapeHasSize(shape) || hasProp(shape, 'text') || shapeIsEllipse(shape));\n//#endregion\n//#region shape formatting\nconst shapeDeleteRelativeProps = (shape) => {\n    delete shape.left;\n    delete shape.right;\n    delete shape.top;\n    delete shape.bottom;\n    return shape;\n};\nconst shapeDeleteTransformProps = (shape) => {\n    delete shape.rotation;\n    return shape;\n};\nconst shapeFormatStroke = (shape) => {\n    shape.strokeWidth = shape.strokeWidth || 1;\n    shape.strokeColor = shape.strokeColor || [0, 0, 0];\n    return shape;\n};\nconst shapeFormatFill = (shape) => {\n    shape.backgroundColor = shape.backgroundColor\n        ? shape.backgroundColor\n        : shape.strokeWidth || shape.backgroundImage\n            ? undefined\n            : [0, 0, 0];\n    return shape;\n};\n// encode illegal characters\n// first replace entities, then encode characters that are left, then replace entities\nconst shapeFormatHTMLText = (shape) => {\n    let text = shape.text;\n    text = text.replace(/&(#[0-9]+|[a-z]+);/gi, (_, value) => `___${value}___`);\n    text = text.replace(/&/, '&amp;');\n    shape.text = text.replace(/___(#[0-9]+|[a-z]+)___/gi, (_, value) => `&${value};`);\n};\nconst shapeFormatPlainText = (shape) => {\n    shapeFormatHTMLText(shape);\n    let text = shape.text;\n    text = text.replace(/</g, '&gt;');\n    text = text.replace(/>/g, '&lt;');\n    shape.text = text;\n};\nconst shapeFormatText = (shape) => {\n    shape.fontSize = shape.fontSize || '4%';\n    shape.fontFamily = shape.fontFamily || 'sans-serif';\n    shape.fontWeight = shape.fontWeight || 'normal';\n    shape.fontStyle = shape.fontStyle || 'normal';\n    shape.fontVariant = shape.fontVariant || 'normal';\n    shape.lineHeight = shape.lineHeight || '120%';\n    shape.color = shape.color || [0, 0, 0];\n    shape.format = shape.format === 'html' ? 'html' : 'text';\n    if (shape.format === 'html')\n        shapeFormatHTMLText(shape);\n    else\n        shapeFormatPlainText(shape);\n    return shapeIsTextBlock(shape) ? shapeFormatTextBlock(shape) : shapeFormatTextBox(shape);\n};\nconst shapeFormatTextBlock = (shape) => {\n    // for now can't align if not allowed to use newlines\n    if (shape.disableNewline !== false) {\n        delete shape.textAlign;\n        shape.text = shape.text.replace(/\\n/g, ' ');\n    }\n    return shapeDeleteRelativeProps(shape);\n};\nconst shapeFormatTextBox = (shape) => {\n    shape.textAlign = shape.textAlign || 'left';\n    return shape;\n};\nconst shapeFormatRect = (shape) => {\n    shape.cornerRadius = shape.cornerRadius || 0;\n    shape.strokeWidth = shape.strokeWidth || 0;\n    shape.strokeColor = shape.strokeColor || [0, 0, 0];\n    return shapeFormatFill(shape);\n};\nconst shapeFormatEllipse = (shape) => {\n    shape.strokeWidth = shape.strokeWidth || 0;\n    shape.strokeColor = shape.strokeColor || [0, 0, 0];\n    return shapeFormatFill(shape);\n};\nconst shapeFormatPath = (shape) => {\n    shapeFormatStroke(shape);\n    shapeDeleteTransformProps(shape);\n    if (!hasProp(shape, 'pathClose')) {\n        shape.disableResize = true;\n        if (!hasProp(shape, 'disableMove')) {\n            shape.disableMove = true;\n        }\n    }\n    return shapeDeleteRelativeProps(shape);\n};\nconst shapeFormatLine = (shape) => {\n    shapeFormatStroke(shape);\n    shape.lineStart = shape.lineStart || undefined;\n    shape.lineEnd = shape.lineEnd || undefined;\n    shapeDeleteTransformProps(shape);\n    return shapeDeleteRelativeProps(shape);\n};\nconst shapeFormatDefaults = (shape) => {\n    if (!isString(shape.id))\n        shape.id = getUniqueId();\n    if (!hasProp(shape, 'rotation'))\n        shape.rotation = 0;\n    if (!hasProp(shape, 'opacity'))\n        shape.opacity = 1;\n    if (!hasProp(shape, 'disableErase'))\n        shape.disableErase = true;\n};\nconst shapeFormat = (shape) => {\n    shapeFormatDefaults(shape);\n    if (shapeIsText(shape)) {\n        shapeFormatText(shape);\n    }\n    else if (shapeIsRect(shape)) {\n        shapeFormatRect(shape);\n    }\n    else if (shapeIsPath(shape)) {\n        shapeFormatPath(shape);\n    }\n    else if (shapeIsLine(shape)) {\n        shapeFormatLine(shape);\n    }\n    else if (shapeIsEllipse(shape)) {\n        shapeFormatEllipse(shape);\n    }\n    return shape;\n};\nconst shapeGetDescription = (shape) => {\n    if (shapeIsText(shape))\n        return 'text';\n    if (shapeIsRect(shape))\n        return 'rectangle';\n    if (shapeIsPath(shape))\n        return 'path';\n    if (shapeIsLine(shape))\n        return 'line';\n    if (shapeIsEllipse(shape))\n        return 'ellipse';\n    return;\n};\n//#endregion\nconst toPixelValue = (percentage, total) => (parseFloat(percentage) / 100) * total;\n//#region shape transforming\nconst xRegExp = new RegExp(/^x|left|right|^width|rx|fontSize|cornerRadius|strokeWidth/, 'i');\nconst yRegExp = new RegExp(/^y|top|bottom|^height|ry/, 'i');\nconst compute = (key, value, { width, height }) => {\n    // handle array of percentage values\n    if (Array.isArray(value)) {\n        return value.map((v) => {\n            if (isObject(v)) {\n                // update the object itself\n                computeProps(v, { width, height });\n            }\n            return v;\n        });\n    }\n    // no need to compute (test with typeof instead of for perf)\n    if (typeof value !== 'string')\n        return value;\n    if (!value.endsWith('%'))\n        return value;\n    const f = parseFloat(value) / 100;\n    if (xRegExp.test(key))\n        return fixPrecision(width * f, 6);\n    if (yRegExp.test(key))\n        return fixPrecision(height * f, 6);\n    // dont auto-compute\n    return value;\n};\nconst computeProps = (obj, context) => {\n    Object.entries(obj).map(([key, value]) => {\n        obj[key] = compute(key, value, context);\n    });\n    // assume is percentage\n    const lineHeight = obj.lineHeight;\n    if (isString(lineHeight))\n        obj.lineHeight = Math.round(obj.fontSize * (parseFloat(lineHeight) / 100));\n};\nconst shapeComputeDisplay = (shape, context) => {\n    computeProps(shape, context);\n    shapeComputeRect(shape, context);\n    return shape;\n};\nconst shapeGetPropPixelTotal = (prop, parentRect) => {\n    let total;\n    if (/^x|width|rx|fontSize|strokeWidth|cornerRadius/.test(prop)) {\n        total = parentRect.width;\n    }\n    else if (/^y|height|ry/.test(prop)) {\n        total = parentRect.height;\n    }\n    return total;\n};\nconst shapeUpdateProp = (shape, prop, value, parentRect) => {\n    if (!isString(shape[prop])) {\n        shape[prop] = value;\n        return shape;\n    }\n    const total = shapeGetPropPixelTotal(prop, parentRect);\n    shape[prop] = total === undefined ? value : toPercentage(value, total);\n    return shape;\n};\nconst shapeGetPropPixelValue = (shape, prop, parentRect) => {\n    if (Array.isArray(shape[prop]))\n        return shape[prop].map((item) => {\n            return Object.entries(item).reduce((mapped, [key, value]) => {\n                mapped[key] = isString(value)\n                    ? toPixelValue(value, shapeGetPropPixelTotal(key, parentRect))\n                    : value;\n                return mapped;\n            }, {});\n        });\n    if (!isString(shape[prop]))\n        return shape[prop];\n    return toPixelValue(shape[prop], shapeGetPropPixelTotal(prop, parentRect));\n};\nconst shapeGetPropsPixelValues = (shape, props, parentRect) => {\n    return props.reduce((prev, prop) => {\n        const value = shapeGetPropPixelValue(shape, prop, parentRect);\n        prev[prop] = value;\n        return prev;\n    }, {});\n};\nconst shapeUpdateProps = (shape, props, parentRect) => {\n    Object.keys(props).forEach((key) => shapeUpdateProp(shape, key, props[key], parentRect));\n    return shape;\n};\nconst shapeBounds = (shape) => {\n    const rect = rectCreateEmpty();\n    const strokeWidth = shape.strokeWidth || 0;\n    if (shapeIsRect(shape)) {\n        rect.x = shape.x - strokeWidth * 0.5;\n        rect.y = shape.y - strokeWidth * 0.5;\n        rect.width = shape.width + strokeWidth;\n        rect.height = shape.height + strokeWidth;\n    }\n    else if (shapeIsLine(shape)) {\n        const { x1, y1, x2, y2 } = shape;\n        const left = Math.abs(Math.min(x1, x2));\n        const right = Math.abs(Math.max(x1, x2));\n        const top = Math.abs(Math.min(y1, y2));\n        const bottom = Math.abs(Math.min(y1, y2));\n        rect.x = left + strokeWidth * 0.5;\n        rect.y = right + strokeWidth * 0.5;\n        rect.width = right - left + strokeWidth;\n        rect.height = bottom - top + strokeWidth;\n    }\n    else if (shapeIsEllipse(shape)) {\n        rect.x = shape.x - shape.rx + strokeWidth * 0.5;\n        rect.y = shape.y - shape.ry + strokeWidth * 0.5;\n        rect.width = shape.rx * 2 + strokeWidth;\n        rect.height = shape.ry * 2 + strokeWidth;\n    }\n    if (rect && hasProp(shape, 'rotation')) {\n        rectRotate(rect, shape.rotation);\n    }\n    return rectToBounds(rect);\n};\nconst shapesBounds = (shapes, parentRect) => {\n    const bounds = shapes\n        .filter((shape) => shape.x < 0 || shape.y < 0 || shape.x1 < 0 || shape.y1 < 0)\n        .reduce((bounds, shape) => {\n        const [top, right, bottom, left] = shapeBounds(shape);\n        bounds.top = Math.min(top, bounds.top);\n        bounds.left = Math.min(left, bounds.left);\n        bounds.bottom = Math.max(bottom, bounds.bottom);\n        bounds.right = Math.max(right, bounds.right);\n        return bounds;\n    }, {\n        top: 0,\n        right: 0,\n        bottom: 0,\n        left: 0,\n    });\n    if (bounds.right > 0)\n        bounds.right -= parentRect.width;\n    if (bounds.bottom > 0)\n        bounds.bottom -= parentRect.height;\n    return bounds;\n};\nconst shapesFromCompositShape = (shape, parentRect, parser) => {\n    const shapeCopy = shapeDeepCopy(shape);\n    shapeComputeDisplay(shapeCopy, parentRect);\n    const shapes = parser(shapeCopy);\n    return Array.isArray(shapes) ? shapes : [shapes];\n};\nconst shapeComputeRect = (shape, context) => {\n    if (hasProp(shape, 'left'))\n        shape.x = shape.left;\n    if (hasProp(shape, 'right') && !isString(shape.right)) {\n        const r = context.width - shape.right;\n        if (hasProp(shape, 'left')) {\n            shape.x = shape.left;\n            shape.width = Math.max(0, r - shape.left);\n        }\n        else if (hasProp(shape, 'width')) {\n            shape.x = r - shape.width;\n        }\n    }\n    if (hasProp(shape, 'top'))\n        shape.y = shape.top;\n    if (hasProp(shape, 'bottom') && !isString(shape.bottom)) {\n        const b = context.height - shape.bottom;\n        if (hasProp(shape, 'top')) {\n            shape.y = shape.top;\n            shape.height = Math.max(0, b - shape.top);\n        }\n        else if (hasProp(shape, 'height')) {\n            shape.y = b - shape.height;\n        }\n    }\n    return shape;\n};\n// currently only used for drawing to canvas in output\nconst shapeScale = (shape, scale) => {\n    if (shapeIsPath(shape)) {\n        shape.points\n            .filter((point) => isNumber(point.x))\n            .forEach((point) => {\n            point.x *= scale;\n            point.y *= scale;\n        });\n    }\n    if (shapeIsLine(shape) && isNumber(shape.x1)) {\n        shape.x1 *= scale;\n        shape.y1 *= scale;\n        shape.x2 *= scale;\n        shape.y2 *= scale;\n    }\n    if (isNumber(shape.x) && isNumber(shape.y)) {\n        shape.x *= scale;\n        shape.y *= scale;\n    }\n    if (isNumber(shape.width) && isNumber(shape.height)) {\n        shape.width *= scale;\n        shape.height *= scale;\n    }\n    if (isNumber(shape.rx) && isNumber(shape.ry)) {\n        shape.rx *= scale;\n        shape.ry *= scale;\n    }\n    if (shapeHasNumericStroke(shape)) {\n        shape.strokeWidth *= scale;\n    }\n    if (shapeIsText(shape)) {\n        shape._scale = scale;\n        if (isNumber(shape.fontSize)) {\n            shape.fontSize *= scale;\n        }\n        if (isNumber(shape.lineHeight)) {\n            shape.lineHeight *= scale;\n        }\n        if (isNumber(shape.width) && !isNumber(shape.height))\n            shape.width *= scale;\n    }\n    if (hasProp(shape, 'cornerRadius') && isNumber(shape.cornerRadius)) {\n        shape.cornerRadius *= scale;\n    }\n    return shape;\n};\nconst shapeGetLength = (shape) => {\n    if (!shape.x1)\n        return;\n    return vectorDistance(vectorCreate(shape.x1, shape.y1), vectorCreate(shape.x2, shape.y2));\n};\nconst shapeGetCenter = (shape) => {\n    if (shapeIsRect(shape)) {\n        return vectorCreate(shape.x + shape.width * 0.5, shape.y + shape.height * 0.5);\n    }\n    if (shapeIsEllipse(shape)) {\n        return vectorCreate(shape.x, shape.y);\n    }\n    if (shape.text) {\n        // if is text box we try to use width & height values\n        if (shapeIsTextBox(shape)) {\n            const height = shape.height || textToSize(shape.text, shape).height;\n            return vectorCreate(shape.x + shape.width * 0.5, shape.y + height * 0.5);\n        }\n        // else we calculate text size\n        const size = textToSize(shape.text, shape);\n        return vectorCreate(shape.x + size.width * 0.5, shape.y + size.height * 0.5);\n    }\n    if (shapeIsPath(shape)) {\n        return vectorCenter(shape.points);\n    }\n    if (shapeIsLine(shape)) {\n        return vectorCenter([\n            shapeLineGetStartPoint(shape),\n            shapeLineGetEndPoint(shape),\n        ]);\n    }\n    return undefined;\n};\n//#endregion\nconst shapeGetLevel = (shapeInitialState, imageCurrentState) => {\n    let flipX = false;\n    if (imageCurrentState.flipX && shapeInitialState.flipX) {\n        flipX = true;\n    }\n    else if (!imageCurrentState.flipX && shapeInitialState.flipX) {\n        flipX = false;\n    }\n    else if (imageCurrentState.flipX && !shapeInitialState.flipX) {\n        flipX = true;\n    }\n    let flipY = false;\n    if (imageCurrentState.flipY && shapeInitialState.flipY) {\n        flipY = true;\n    }\n    else if (!imageCurrentState.flipY && shapeInitialState.flipY) {\n        flipY = false;\n    }\n    else if (imageCurrentState.flipY && !shapeInitialState.flipY) {\n        flipY = true;\n    }\n    let rotation = -imageCurrentState.rotation;\n    if ((flipX || flipY) && !(flipX && flipY))\n        rotation = -rotation;\n    return {\n        flipX,\n        flipY,\n        rotation,\n    };\n};\n\nvar ctxRoundRect = (ctx, x, y, width, height, radius) => {\n    if (width < 2 * radius)\n        radius = width / 2;\n    if (height < 2 * radius)\n        radius = height / 2;\n    ctx.beginPath();\n    ctx.moveTo(x + radius, y);\n    ctx.arcTo(x + width, y, x + width, y + height, radius);\n    ctx.arcTo(x + width, y + height, x, y + height, radius);\n    ctx.arcTo(x, y + height, x, y, radius);\n    ctx.arcTo(x, y, x + width, y, radius);\n    ctx.closePath();\n    return ctx;\n};\n\nvar isCanvas = (element) => /canvas/i.test(element.nodeName);\n\nvar isRemoteURL = (url) => new URL(url, location.href).origin !== location.origin;\n\nvar loadImage = (image, onSize = undefined) => new Promise((resolve, reject) => {\n    // the image element we'll use to load the image\n    let imageElement = image;\n    let sizeCalculated = false;\n    const reportSize = () => {\n        if (sizeCalculated)\n            return;\n        sizeCalculated = true;\n        isFunction(onSize) &&\n            /* Use Promise.resolve to make async but place before resolve of parent promise */\n            Promise.resolve().then(() => onSize(sizeCreate(imageElement.naturalWidth, imageElement.naturalHeight)));\n    };\n    // if is not an image element, it must be a valid image source\n    if (!imageElement.src) {\n        imageElement = new Image();\n        // if is remote image, set crossOrigin\n        // why not always set crossOrigin? -> because when set this fires two requests,\n        // one for asking permission and one for downloading the image\n        if (isString(image) && isRemoteURL(image))\n            imageElement.crossOrigin = 'anonymous';\n        imageElement.src = isString(image) ? image : URL.createObjectURL(image);\n    }\n    if (imageElement.complete) {\n        reportSize();\n        return resolve(imageElement);\n    }\n    // try to calculate size faster\n    if (isFunction(onSize))\n        getImageElementSize(imageElement).then(reportSize).catch(reject);\n    imageElement.onload = () => {\n        reportSize();\n        resolve(imageElement);\n    };\n    imageElement.onerror = () => reject(new Error('Failed to load image'));\n});\n\nconst cache = new Map([]);\nconst getImage = (src, options = {}) => new Promise((resolve, reject) => {\n    const { onMetadata = noop$1, onLoad = resolve, onError = reject, onComplete = noop$1, } = options;\n    let imageLoadState = cache.get(src);\n    // start loading\n    if (!imageLoadState) {\n        imageLoadState = {\n            loading: false,\n            complete: false,\n            error: false,\n            image: undefined,\n            size: undefined,\n            bus: pubsub(),\n        };\n        // store\n        cache.set(src, imageLoadState);\n    }\n    // wait for load\n    imageLoadState.bus.sub('meta', onMetadata);\n    imageLoadState.bus.sub('load', onLoad);\n    imageLoadState.bus.sub('error', onError);\n    imageLoadState.bus.sub('complete', onComplete);\n    // if is canvas, it's already done\n    if (isCanvas(src)) {\n        const canvas = src;\n        // get image\n        const image = canvas.cloneNode();\n        // update state\n        imageLoadState.complete = true;\n        imageLoadState.image = image;\n        imageLoadState.size = sizeCreateFromElement(canvas);\n    }\n    // already loaded\n    if (imageLoadState.complete) {\n        imageLoadState.bus.pub('meta', { size: imageLoadState.size });\n        if (imageLoadState.error) {\n            imageLoadState.bus.pub('error', imageLoadState.error);\n        }\n        else {\n            imageLoadState.bus.pub('load', imageLoadState.image);\n        }\n        imageLoadState.bus.pub('complete');\n        // reset subscribers\n        imageLoadState.bus = pubsub();\n        return;\n    }\n    // already loading, exit here\n    if (imageLoadState.loading)\n        return;\n    // now loading\n    imageLoadState.loading = true;\n    // resource needs to be loaded\n    loadImage(src, (size) => {\n        imageLoadState.size = size;\n        imageLoadState.bus.pub('meta', { size });\n    })\n        .then((image) => {\n        imageLoadState.image = image;\n        imageLoadState.bus.pub('load', image);\n    })\n        .catch((err) => {\n        imageLoadState.error = err;\n        imageLoadState.bus.pub('error', err);\n    })\n        .finally(() => {\n        imageLoadState.complete = true;\n        imageLoadState.loading = false;\n        imageLoadState.bus.pub('complete');\n        // reset subscribers\n        imageLoadState.bus = pubsub();\n    });\n});\n\nconst drawCanvas = (ctx, image, srcRect, destRect) => ctx.drawImage(image, srcRect.x, srcRect.x, srcRect.width, srcRect.height, destRect.x, destRect.y, destRect.width, destRect.height);\nvar ctxDrawImage = async (ctx, image, srcRect, destRect, draw = drawCanvas) => {\n    ctx.save();\n    ctx.clip();\n    await draw(ctx, image, srcRect, destRect);\n    ctx.restore();\n};\nconst getDrawImageParams = (container, backgroundSize, imageSize, backgroundCorners, backgroundPosition) => {\n    // target is container\n    const destRect = rectClone$1(container);\n    // texture mapping\n    if (backgroundCorners) {\n        const srcRect = rectApply(rectCreateFromPoints(backgroundCorners), fixPrecision);\n        srcRect.x *= imageSize.width;\n        srcRect.width *= imageSize.width;\n        srcRect.y *= imageSize.height;\n        srcRect.height *= imageSize.height;\n        return {\n            srcRect,\n            destRect,\n        };\n    }\n    // by default use entire image\n    const srcRect = rectCreate(0, 0, imageSize.width, imageSize.height);\n    // css background positioning\n    if (backgroundSize === 'contain') {\n        const rect = rectContainRect(container, rectAspectRatio(srcRect));\n        destRect.width = rect.width;\n        destRect.height = rect.height;\n        if (backgroundPosition) {\n            destRect.x += backgroundPosition.x;\n            destRect.y += backgroundPosition.y;\n        }\n        else {\n            destRect.x += rect.x;\n            destRect.y += rect.y;\n        }\n    }\n    else if (backgroundSize === 'cover') {\n        const relativeRect = rectCoverRect(destRect, srcRect.width / srcRect.height);\n        destRect.width = relativeRect.width;\n        destRect.height = relativeRect.height;\n        if (backgroundPosition) {\n            destRect.x += backgroundPosition.x;\n            destRect.y += backgroundPosition.y;\n        }\n        else {\n            destRect.x += relativeRect.x;\n            destRect.y += relativeRect.y;\n        }\n    }\n    else if (backgroundSize) {\n        destRect.width = backgroundSize.width;\n        destRect.height = backgroundSize.height;\n        if (backgroundPosition) {\n            destRect.x += backgroundPosition.x;\n            destRect.y += backgroundPosition.y;\n        }\n    }\n    else if (backgroundPosition) {\n        destRect.width = imageSize.width;\n        destRect.height = imageSize.height;\n        destRect.x += backgroundPosition.x;\n        destRect.y += backgroundPosition.y;\n    }\n    return {\n        srcRect,\n        destRect,\n    };\n};\n\nconst defineRectShape = (ctx, shape) => {\n    shape.cornerRadius > 0\n        ? ctxRoundRect(ctx, shape.x, shape.y, shape.width, shape.height, shape.cornerRadius)\n        : ctx.rect(shape.x, shape.y, shape.width, shape.height);\n    return ctx;\n};\nconst fillRectShape = (ctx, shape) => {\n    shape.backgroundColor && ctx.fill();\n    return ctx;\n};\nconst strokeRectShape = (ctx, shape) => {\n    shape.strokeWidth && ctx.stroke();\n    return ctx;\n};\nvar drawRect = async (ctx, shape, options = {}) => {\n    const { drawImage } = options;\n    ctx.lineWidth = shape.strokeWidth ? shape.strokeWidth : 1; // 1 is default value for lineWidth prop\n    ctx.strokeStyle = shape.strokeColor ? colorArrayToRGBA(shape.strokeColor) : 'none';\n    ctx.fillStyle = shape.backgroundColor ? colorArrayToRGBA(shape.backgroundColor) : 'none';\n    ctx.globalAlpha = shape.opacity;\n    if (shape.backgroundImage) {\n        let image;\n        if (isCanvas(shape.backgroundImage)) {\n            image = shape.backgroundImage;\n        }\n        else {\n            image = await getImage(shape.backgroundImage);\n        }\n        defineRectShape(ctx, shape);\n        fillRectShape(ctx, shape);\n        const { srcRect, destRect } = getDrawImageParams(shape, shape.backgroundSize, sizeCreateFromElement(image), shape.backgroundCorners, shape.backgroundPosition);\n        await ctxDrawImage(ctx, image, srcRect, destRect, drawImage);\n        strokeRectShape(ctx, shape);\n        return [];\n    }\n    defineRectShape(ctx, shape);\n    fillRectShape(ctx, shape);\n    strokeRectShape(ctx, shape);\n    return [];\n};\n\nvar drawEllipse = async (ctx, shape, options = {}) => new Promise(async (resolve, reject) => {\n    const { drawImage } = options;\n    ctx.lineWidth = shape.strokeWidth || 1; // 1 is default value for lineWidth prop\n    ctx.strokeStyle = shape.strokeColor ? colorArrayToRGBA(shape.strokeColor) : 'none';\n    ctx.fillStyle = shape.backgroundColor ? colorArrayToRGBA(shape.backgroundColor) : 'none';\n    ctx.globalAlpha = shape.opacity;\n    ctx.ellipse(shape.x, shape.y, shape.rx, shape.ry, 0, 0, Math.PI * 2);\n    shape.backgroundColor && ctx.fill();\n    if (shape.backgroundImage) {\n        let image;\n        try {\n            image = await getImage(shape.backgroundImage);\n        }\n        catch (err) {\n            reject(err);\n        }\n        const bounds = rectCreate(shape.x - shape.rx, shape.y - shape.ry, shape.rx * 2, shape.ry * 2);\n        const { srcRect, destRect } = getDrawImageParams(bounds, shape.backgroundSize, sizeCreateFromElement(image), shape.backgroundCorners, shape.backgroundPosition);\n        // @ts-ignore\n        await ctxDrawImage(ctx, image, srcRect, destRect, drawImage);\n        shape.strokeWidth && ctx.stroke();\n        resolve([]);\n    }\n    else {\n        shape.strokeWidth && ctx.stroke();\n        resolve([]);\n    }\n});\n\nvar drawText = async (ctx, shape, options) => {\n    // get text size\n    const size = shape.width && shape.height\n        ? sizeCreateFromAny(shape)\n        : textToSize(shape.text, shape);\n    const rect = {\n        x: shape.x,\n        y: shape.y,\n        width: size.width,\n        height: size.height,\n    };\n    drawRect(ctx, {\n        ...shape,\n        ...rect,\n        options,\n    });\n    // skip if no text\n    if (!shape.text.length)\n        return [];\n    const { willRequest } = options;\n    // maybe in future use same pixel ratio as device to better match preview text texture?\n    const image = await textToImage(shape.text, {\n        ...shape,\n        ...rect,\n        imageWidth: rect.width,\n        imageHeight: rect.height,\n        willRequest,\n    });\n    ctx.drawImage(image, shape.x - TextPadding, shape.y, image.width, image.height);\n    return [];\n};\n\n// TODO! START\n// -----------\nvar drawLine = async (ctx, shape) => new Promise(async (resolve) => {\n    ctx.lineWidth = shape.strokeWidth || 1; // 1 is default value for lineWidth prop\n    ctx.strokeStyle = shape.strokeColor ? colorArrayToRGBA(shape.strokeColor) : 'none';\n    ctx.globalAlpha = shape.opacity;\n    let lineStartPosition = shapeLineGetStartPoint(shape);\n    let lineEndPosition = shapeLineGetEndPoint(shape);\n    // draw line\n    ctx.moveTo(lineStartPosition.x, lineStartPosition.y);\n    ctx.lineTo(lineEndPosition.x, lineEndPosition.y);\n    shape.strokeWidth && ctx.stroke();\n    // draw other shapes\n    resolve([]);\n});\n// TODO! END\n// -----------\n\nvar drawPath = async (ctx, shape) => new Promise((resolve, reject) => {\n    ctx.lineWidth = shape.strokeWidth || 1; // 1 is default value for lineWidth prop\n    ctx.strokeStyle = shape.strokeColor ? colorArrayToRGBA(shape.strokeColor) : 'none';\n    ctx.fillStyle = shape.backgroundColor ? colorArrayToRGBA(shape.backgroundColor) : 'none';\n    ctx.globalAlpha = shape.opacity;\n    // draw line\n    const { points } = shape;\n    if (shape.pathClose)\n        ctx.beginPath();\n    ctx.moveTo(points[0].x, points[0].y);\n    const l = points.length;\n    for (let i = 1; i < l; i++) {\n        ctx.lineTo(points[i].x, points[i].y);\n    }\n    if (shape.pathClose)\n        ctx.closePath();\n    shape.strokeWidth && ctx.stroke();\n    shape.backgroundColor && ctx.fill();\n    resolve([]);\n});\n\nvar ctxFlip = (ctx, flipX, flipY, pivot) => {\n    if (!flipX && !flipY)\n        return ctx;\n    ctx.translate(pivot.x, pivot.y);\n    ctx.scale(flipX ? -1 : 1, flipY ? -1 : 1);\n    ctx.translate(-pivot.x, -pivot.y);\n    return ctx;\n};\n\nconst drawShape = async (ctx, shape, options) => {\n    // center, needed for transforms\n    const center = shapeGetCenter(shape);\n    // rotate context\n    ctxRotate(ctx, shape.rotation, center);\n    // flip context\n    ctxFlip(ctx, shape.flipX, shape.flipY, center);\n    let fn;\n    if (shapeIsRect(shape)) {\n        fn = drawRect;\n    }\n    else if (shapeIsEllipse(shape)) {\n        fn = drawEllipse;\n    }\n    else if (shapeIsLine(shape)) {\n        fn = drawLine;\n    }\n    else if (shapeIsPath(shape)) {\n        fn = drawPath;\n    }\n    else if (shapeIsText(shape)) {\n        fn = drawText;\n    }\n    if (fn) {\n        const subShapes = await fn(ctx, shape, options);\n        if (!subShapes.length)\n            return [];\n        const shapes = await drawShapes(ctx, subShapes, options);\n        return [shape, ...shapes];\n    }\n    return [];\n};\n\nvar drawShapes = async (ctx, shapes, options) => {\n    let drawnShapes = [];\n    for (const shape of shapes) {\n        ctx.save();\n        // clears previous shape's path\n        ctx.beginPath();\n        // wait for shape to draw before drawing next shape\n        drawnShapes = [...drawnShapes, ...(await drawShape(ctx, shape, options))];\n        ctx.restore();\n    }\n    return drawnShapes;\n};\n\nvar drawImageData = async (imageData, options = {}) => {\n    const { shapes = [], contextBounds = imageData, transform = noop$1, drawImage, willRequest, canvasMemoryLimit, computeShape = passthrough, preprocessShape = passthrough, } = options;\n    // no shapes to draw\n    if (!shapes.length)\n        return imageData;\n    // create drawing context\n    const canvas = h('canvas');\n    canvas.width = contextBounds.width;\n    canvas.height = contextBounds.height;\n    const ctx = canvas.getContext('2d', { willReadFrequently: true });\n    ctx.putImageData(imageData, contextBounds.x || 0, contextBounds.y || 0);\n    // compute the position of all shapes\n    const computedShapes = shapes.map(shapeDeepCopy).map(computeShape).map(preprocessShape).flat();\n    // compute transforms for context\n    transform(ctx);\n    // draw shapes to canvas\n    await drawShapes(ctx, computedShapes, {\n        drawImage,\n        canvasMemoryLimit,\n        willRequest,\n    });\n    const imageDataOut = ctx.getImageData(0, 0, canvas.width, canvas.height);\n    releaseCanvas(canvas);\n    return imageDataOut;\n};\n\nvar fillImageData = async (imageData, options = {}) => {\n    const { backgroundColor, backgroundImage } = options;\n    const hasBackgroundColor = !(!backgroundColor || (backgroundColor && backgroundColor[3] === 0));\n    // no background set\n    if (!backgroundImage && !hasBackgroundColor)\n        return imageData;\n    // canvas to fill\n    const image = h('canvas');\n    image.width = imageData.width;\n    image.height = imageData.height;\n    const ctx = image.getContext('2d', { willReadFrequently: true });\n    ctx.putImageData(imageData, 0, 0);\n    // fill behind image\n    ctx.globalCompositeOperation = 'destination-over';\n    if (hasBackgroundColor) {\n        ctx.fillStyle = colorArrayToRGBA(backgroundColor);\n        ctx.fillRect(0, 0, image.width, image.height);\n    }\n    if (backgroundImage) {\n        let image;\n        if (isCanvas(backgroundImage)) {\n            image = backgroundImage;\n        }\n        else {\n            image = await getImage(backgroundImage);\n        }\n        const { srcRect, destRect } = getDrawImageParams({\n            x: 0,\n            y: 0,\n            width: imageData.width,\n            height: imageData.height,\n        }, 'cover', {\n            width: image.width,\n            height: image.height,\n        });\n        ctx.drawImage(image, srcRect.x, srcRect.y, srcRect.width, srcRect.height, destRect.x, destRect.y, destRect.width, destRect.height);\n    }\n    const imageDataOut = ctx.getImageData(0, 0, image.width, image.height);\n    releaseCanvas(image);\n    return imageDataOut;\n};\n\nvar dotColorMatrix = (a, b) => {\n    const res = new Array(20);\n    // R\n    res[0] = a[0] * b[0] + a[1] * b[5] + a[2] * b[10] + a[3] * b[15];\n    res[1] = a[0] * b[1] + a[1] * b[6] + a[2] * b[11] + a[3] * b[16];\n    res[2] = a[0] * b[2] + a[1] * b[7] + a[2] * b[12] + a[3] * b[17];\n    res[3] = a[0] * b[3] + a[1] * b[8] + a[2] * b[13] + a[3] * b[18];\n    res[4] = a[0] * b[4] + a[1] * b[9] + a[2] * b[14] + a[3] * b[19] + a[4];\n    // G\n    res[5] = a[5] * b[0] + a[6] * b[5] + a[7] * b[10] + a[8] * b[15];\n    res[6] = a[5] * b[1] + a[6] * b[6] + a[7] * b[11] + a[8] * b[16];\n    res[7] = a[5] * b[2] + a[6] * b[7] + a[7] * b[12] + a[8] * b[17];\n    res[8] = a[5] * b[3] + a[6] * b[8] + a[7] * b[13] + a[8] * b[18];\n    res[9] = a[5] * b[4] + a[6] * b[9] + a[7] * b[14] + a[8] * b[19] + a[9];\n    // B\n    res[10] = a[10] * b[0] + a[11] * b[5] + a[12] * b[10] + a[13] * b[15];\n    res[11] = a[10] * b[1] + a[11] * b[6] + a[12] * b[11] + a[13] * b[16];\n    res[12] = a[10] * b[2] + a[11] * b[7] + a[12] * b[12] + a[13] * b[17];\n    res[13] = a[10] * b[3] + a[11] * b[8] + a[12] * b[13] + a[13] * b[18];\n    res[14] = a[10] * b[4] + a[11] * b[9] + a[12] * b[14] + a[13] * b[19] + a[14];\n    // A\n    res[15] = a[15] * b[0] + a[16] * b[5] + a[17] * b[10] + a[18] * b[15];\n    res[16] = a[15] * b[1] + a[16] * b[6] + a[17] * b[11] + a[18] * b[16];\n    res[17] = a[15] * b[2] + a[16] * b[7] + a[17] * b[12] + a[18] * b[17];\n    res[18] = a[15] * b[3] + a[16] * b[8] + a[17] * b[13] + a[18] * b[18];\n    res[19] = a[15] * b[4] + a[16] * b[9] + a[17] * b[14] + a[18] * b[19] + a[19];\n    return res;\n};\n\nvar getColorMatrixFromColorMatrices = (colorMatrices) => colorMatrices.length\n    ? colorMatrices.reduce((previous, current) => dotColorMatrix([...previous], current), colorMatrices.shift())\n    : [];\n\nvar roundFraction = (value, fr = 2) => Math.round(value * fr) / fr;\n\nvar getImageRedactionScaleFactor = (imageSize, redactionShapes) => {\n    const imageRes = imageSize.width * imageSize.height;\n    const maxShapeSize = redactionShapes.reduce((max, shape) => {\n        if (shape.width > max.width && shape.height > max.height) {\n            max.width = shape.width;\n            max.height = shape.height;\n        }\n        return max;\n    }, { width: 0, height: 0 });\n    const maxShapeRes = maxShapeSize.width * maxShapeSize.height;\n    const fraction = Math.max(0.5, 0.5 + (1 - maxShapeRes / imageRes) / 2);\n    return roundFraction(fraction, 5);\n};\n\nfunction noop() { }\nconst identity = x => x;\nfunction assign(tar, src) {\n    // @ts-ignore\n    for (const k in src)\n        tar[k] = src[k];\n    return tar;\n}\nfunction run(fn) {\n    return fn();\n}\nfunction blank_object() {\n    return Object.create(null);\n}\nfunction run_all(fns) {\n    fns.forEach(run);\n}\nfunction is_function(thing) {\n    return typeof thing === 'function';\n}\nfunction safe_not_equal(a, b) {\n    return a != a ? b == b : a !== b || ((a && typeof a === 'object') || typeof a === 'function');\n}\nfunction is_empty(obj) {\n    return Object.keys(obj).length === 0;\n}\nfunction subscribe(store, ...callbacks) {\n    if (store == null) {\n        return noop;\n    }\n    const unsub = store.subscribe(...callbacks);\n    return unsub.unsubscribe ? () => unsub.unsubscribe() : unsub;\n}\nfunction get_store_value(store) {\n    let value;\n    subscribe(store, _ => value = _)();\n    return value;\n}\nfunction component_subscribe(component, store, callback) {\n    component.$$.on_destroy.push(subscribe(store, callback));\n}\nfunction create_slot(definition, ctx, $$scope, fn) {\n    if (definition) {\n        const slot_ctx = get_slot_context(definition, ctx, $$scope, fn);\n        return definition[0](slot_ctx);\n    }\n}\nfunction get_slot_context(definition, ctx, $$scope, fn) {\n    return definition[1] && fn\n        ? assign($$scope.ctx.slice(), definition[1](fn(ctx)))\n        : $$scope.ctx;\n}\nfunction get_slot_changes(definition, $$scope, dirty, fn) {\n    if (definition[2] && fn) {\n        const lets = definition[2](fn(dirty));\n        if ($$scope.dirty === undefined) {\n            return lets;\n        }\n        if (typeof lets === 'object') {\n            const merged = [];\n            const len = Math.max($$scope.dirty.length, lets.length);\n            for (let i = 0; i < len; i += 1) {\n                merged[i] = $$scope.dirty[i] | lets[i];\n            }\n            return merged;\n        }\n        return $$scope.dirty | lets;\n    }\n    return $$scope.dirty;\n}\nfunction update_slot_base(slot, slot_definition, ctx, $$scope, slot_changes, get_slot_context_fn) {\n    if (slot_changes) {\n        const slot_context = get_slot_context(slot_definition, ctx, $$scope, get_slot_context_fn);\n        slot.p(slot_context, slot_changes);\n    }\n}\nfunction get_all_dirty_from_scope($$scope) {\n    if ($$scope.ctx.length > 32) {\n        const dirty = [];\n        const length = $$scope.ctx.length / 32;\n        for (let i = 0; i < length; i++) {\n            dirty[i] = -1;\n        }\n        return dirty;\n    }\n    return -1;\n}\nfunction exclude_internal_props(props) {\n    const result = {};\n    for (const k in props)\n        if (k[0] !== '$')\n            result[k] = props[k];\n    return result;\n}\nfunction compute_rest_props(props, keys) {\n    const rest = {};\n    keys = new Set(keys);\n    for (const k in props)\n        if (!keys.has(k) && k[0] !== '$')\n            rest[k] = props[k];\n    return rest;\n}\nfunction set_store_value(store, ret, value) {\n    store.set(value);\n    return ret;\n}\nfunction action_destroyer(action_result) {\n    return action_result && is_function(action_result.destroy) ? action_result.destroy : noop;\n}\n\nconst is_client = typeof window !== 'undefined';\nlet now = is_client\n    ? () => window.performance.now()\n    : () => Date.now();\nlet raf = is_client ? cb => requestAnimationFrame(cb) : noop;\n\nconst tasks = new Set();\nfunction run_tasks(now) {\n    tasks.forEach(task => {\n        if (!task.c(now)) {\n            tasks.delete(task);\n            task.f();\n        }\n    });\n    if (tasks.size !== 0)\n        raf(run_tasks);\n}\n/**\n * Creates a new task that runs on each raf frame\n * until it returns a falsy value or is aborted\n */\nfunction loop(callback) {\n    let task;\n    if (tasks.size === 0)\n        raf(run_tasks);\n    return {\n        promise: new Promise(fulfill => {\n            tasks.add(task = { c: callback, f: fulfill });\n        }),\n        abort() {\n            tasks.delete(task);\n        }\n    };\n}\nfunction append(target, node) {\n    target.appendChild(node);\n}\nfunction get_root_for_style(node) {\n    if (!node)\n        return document;\n    const root = node.getRootNode ? node.getRootNode() : node.ownerDocument;\n    if (root && root.host) {\n        return root;\n    }\n    return node.ownerDocument;\n}\nfunction append_empty_stylesheet(node) {\n    const style_element = element('style');\n    append_stylesheet(get_root_for_style(node), style_element);\n    return style_element.sheet;\n}\nfunction append_stylesheet(node, style) {\n    append(node.head || node, style);\n    return style.sheet;\n}\nfunction insert(target, node, anchor) {\n    target.insertBefore(node, anchor || null);\n}\nfunction detach(node) {\n    node.parentNode.removeChild(node);\n}\nfunction element(name) {\n    return document.createElement(name);\n}\nfunction svg_element(name) {\n    return document.createElementNS('http://www.w3.org/2000/svg', name);\n}\nfunction text(data) {\n    return document.createTextNode(data);\n}\nfunction space() {\n    return text(' ');\n}\nfunction empty() {\n    return text('');\n}\nfunction listen(node, event, handler, options) {\n    node.addEventListener(event, handler, options);\n    return () => node.removeEventListener(event, handler, options);\n}\nfunction prevent_default(fn) {\n    return function (event) {\n        event.preventDefault();\n        // @ts-ignore\n        return fn.call(this, event);\n    };\n}\nfunction stop_propagation(fn) {\n    return function (event) {\n        event.stopPropagation();\n        // @ts-ignore\n        return fn.call(this, event);\n    };\n}\nfunction attr(node, attribute, value) {\n    if (value == null)\n        node.removeAttribute(attribute);\n    else if (node.getAttribute(attribute) !== value)\n        node.setAttribute(attribute, value);\n}\nfunction set_attributes(node, attributes) {\n    // @ts-ignore\n    const descriptors = Object.getOwnPropertyDescriptors(node.__proto__);\n    for (const key in attributes) {\n        if (attributes[key] == null) {\n            node.removeAttribute(key);\n        }\n        else if (key === 'style') {\n            node.style.cssText = attributes[key];\n        }\n        else if (key === '__value') {\n            node.value = node[key] = attributes[key];\n        }\n        else if (descriptors[key] && descriptors[key].set) {\n            node[key] = attributes[key];\n        }\n        else {\n            attr(node, key, attributes[key]);\n        }\n    }\n}\nfunction children(element) {\n    return Array.from(element.childNodes);\n}\nfunction set_data(text, data) {\n    data = '' + data;\n    if (text.wholeText !== data)\n        text.data = data;\n}\nfunction set_input_value(input, value) {\n    input.value = value == null ? '' : value;\n}\nfunction custom_event(type, detail, { bubbles = false, cancelable = false } = {}) {\n    const e = document.createEvent('CustomEvent');\n    e.initCustomEvent(type, bubbles, cancelable, detail);\n    return e;\n}\nclass HtmlTag {\n    constructor(is_svg = false) {\n        this.is_svg = false;\n        this.is_svg = is_svg;\n        this.e = this.n = null;\n    }\n    c(html) {\n        this.h(html);\n    }\n    m(html, target, anchor = null) {\n        if (!this.e) {\n            if (this.is_svg)\n                this.e = svg_element(target.nodeName);\n            else\n                this.e = element(target.nodeName);\n            this.t = target;\n            this.c(html);\n        }\n        this.i(anchor);\n    }\n    h(html) {\n        this.e.innerHTML = html;\n        this.n = Array.from(this.e.childNodes);\n    }\n    i(anchor) {\n        for (let i = 0; i < this.n.length; i += 1) {\n            insert(this.t, this.n[i], anchor);\n        }\n    }\n    p(html) {\n        this.d();\n        this.h(html);\n        this.i(this.a);\n    }\n    d() {\n        this.n.forEach(detach);\n    }\n}\nfunction construct_svelte_component(component, props) {\n    return new component(props);\n}\n\n// we need to store the information for multiple documents because a Svelte application could also contain iframes\n// https://github.com/sveltejs/svelte/issues/3624\nconst managed_styles = new Map();\nlet active = 0;\n// https://github.com/darkskyapp/string-hash/blob/master/index.js\nfunction hash(str) {\n    let hash = 5381;\n    let i = str.length;\n    while (i--)\n        hash = ((hash << 5) - hash) ^ str.charCodeAt(i);\n    return hash >>> 0;\n}\nfunction create_style_information(doc, node) {\n    const info = { stylesheet: append_empty_stylesheet(node), rules: {} };\n    managed_styles.set(doc, info);\n    return info;\n}\nfunction create_rule(node, a, b, duration, delay, ease, fn, uid = 0) {\n    const step = 16.666 / duration;\n    let keyframes = '{\\n';\n    for (let p = 0; p <= 1; p += step) {\n        const t = a + (b - a) * ease(p);\n        keyframes += p * 100 + `%{${fn(t, 1 - t)}}\\n`;\n    }\n    const rule = keyframes + `100% {${fn(b, 1 - b)}}\\n}`;\n    const name = `__svelte_${hash(rule)}_${uid}`;\n    const doc = get_root_for_style(node);\n    const { stylesheet, rules } = managed_styles.get(doc) || create_style_information(doc, node);\n    if (!rules[name]) {\n        rules[name] = true;\n        stylesheet.insertRule(`@keyframes ${name} ${rule}`, stylesheet.cssRules.length);\n    }\n    const animation = node.style.animation || '';\n    node.style.animation = `${animation ? `${animation}, ` : ''}${name} ${duration}ms linear ${delay}ms 1 both`;\n    active += 1;\n    return name;\n}\nfunction delete_rule(node, name) {\n    const previous = (node.style.animation || '').split(', ');\n    const next = previous.filter(name\n        ? anim => anim.indexOf(name) < 0 // remove specific animation\n        : anim => anim.indexOf('__svelte') === -1 // remove all Svelte animations\n    );\n    const deleted = previous.length - next.length;\n    if (deleted) {\n        node.style.animation = next.join(', ');\n        active -= deleted;\n        if (!active)\n            clear_rules();\n    }\n}\nfunction clear_rules() {\n    raf(() => {\n        if (active)\n            return;\n        managed_styles.forEach(info => {\n            const { ownerNode } = info.stylesheet;\n            // there is no ownerNode if it runs on jsdom.\n            if (ownerNode)\n                detach(ownerNode);\n        });\n        managed_styles.clear();\n    });\n}\n\nlet current_component;\nfunction set_current_component(component) {\n    current_component = component;\n}\nfunction get_current_component() {\n    if (!current_component)\n        throw new Error('Function called outside component initialization');\n    return current_component;\n}\n/**\n * The `onMount` function schedules a callback to run as soon as the component has been mounted to the DOM.\n * It must be called during the component's initialisation (but doesn't need to live *inside* the component;\n * it can be called from an external module).\n *\n * `onMount` does not run inside a [server-side component](/docs#run-time-server-side-component-api).\n *\n * https://svelte.dev/docs#run-time-svelte-onmount\n */\nfunction onMount(fn) {\n    get_current_component().$$.on_mount.push(fn);\n}\n/**\n * Schedules a callback to run immediately after the component has been updated.\n *\n * The first time the callback runs will be after the initial `onMount`\n */\nfunction afterUpdate(fn) {\n    get_current_component().$$.after_update.push(fn);\n}\n/**\n * Schedules a callback to run immediately before the component is unmounted.\n *\n * Out of `onMount`, `beforeUpdate`, `afterUpdate` and `onDestroy`, this is the\n * only one that runs inside a server-side component.\n *\n * https://svelte.dev/docs#run-time-svelte-ondestroy\n */\nfunction onDestroy(fn) {\n    get_current_component().$$.on_destroy.push(fn);\n}\n/**\n * Creates an event dispatcher that can be used to dispatch [component events](/docs#template-syntax-component-directives-on-eventname).\n * Event dispatchers are functions that can take two arguments: `name` and `detail`.\n *\n * Component events created with `createEventDispatcher` create a\n * [CustomEvent](https://developer.mozilla.org/en-US/docs/Web/API/CustomEvent).\n * These events do not [bubble](https://developer.mozilla.org/en-US/docs/Learn/JavaScript/Building_blocks/Events#Event_bubbling_and_capture).\n * The `detail` argument corresponds to the [CustomEvent.detail](https://developer.mozilla.org/en-US/docs/Web/API/CustomEvent/detail)\n * property and can contain any type of data.\n *\n * https://svelte.dev/docs#run-time-svelte-createeventdispatcher\n */\nfunction createEventDispatcher() {\n    const component = get_current_component();\n    return (type, detail, { cancelable = false } = {}) => {\n        const callbacks = component.$$.callbacks[type];\n        if (callbacks) {\n            // TODO are there situations where events could be dispatched\n            // in a server (non-DOM) environment?\n            const event = custom_event(type, detail, { cancelable });\n            callbacks.slice().forEach(fn => {\n                fn.call(component, event);\n            });\n            return !event.defaultPrevented;\n        }\n        return true;\n    };\n}\n/**\n * Associates an arbitrary `context` object with the current component and the specified `key`\n * and returns that object. The context is then available to children of the component\n * (including slotted content) with `getContext`.\n *\n * Like lifecycle functions, this must be called during component initialisation.\n *\n * https://svelte.dev/docs#run-time-svelte-setcontext\n */\nfunction setContext(key, context) {\n    get_current_component().$$.context.set(key, context);\n    return context;\n}\n/**\n * Retrieves the context that belongs to the closest parent component with the specified `key`.\n * Must be called during component initialisation.\n *\n * https://svelte.dev/docs#run-time-svelte-getcontext\n */\nfunction getContext(key) {\n    return get_current_component().$$.context.get(key);\n}\n/**\n * Retrieves the whole context map that belongs to the closest parent component.\n * Must be called during component initialisation. Useful, for example, if you\n * programmatically create a component and want to pass the existing context to it.\n *\n * https://svelte.dev/docs#run-time-svelte-getallcontexts\n */\nfunction getAllContexts() {\n    return get_current_component().$$.context;\n}\n// TODO figure out if we still want to support\n// shorthand events, or if we want to implement\n// a real bubbling mechanism\nfunction bubble(component, event) {\n    const callbacks = component.$$.callbacks[event.type];\n    if (callbacks) {\n        // @ts-ignore\n        callbacks.slice().forEach(fn => fn.call(this, event));\n    }\n}\n\nconst dirty_components = [];\nconst binding_callbacks = [];\nconst render_callbacks = [];\nconst flush_callbacks = [];\nconst resolved_promise = Promise.resolve();\nlet update_scheduled = false;\nfunction schedule_update() {\n    if (!update_scheduled) {\n        update_scheduled = true;\n        resolved_promise.then(flush);\n    }\n}\nfunction tick$1() {\n    schedule_update();\n    return resolved_promise;\n}\nfunction add_render_callback(fn) {\n    render_callbacks.push(fn);\n}\nfunction add_flush_callback(fn) {\n    flush_callbacks.push(fn);\n}\n// flush() calls callbacks in this order:\n// 1. All beforeUpdate callbacks, in order: parents before children\n// 2. All bind:this callbacks, in reverse order: children before parents.\n// 3. All afterUpdate callbacks, in order: parents before children. EXCEPT\n//    for afterUpdates called during the initial onMount, which are called in\n//    reverse order: children before parents.\n// Since callbacks might update component values, which could trigger another\n// call to flush(), the following steps guard against this:\n// 1. During beforeUpdate, any updated components will be added to the\n//    dirty_components array and will cause a reentrant call to flush(). Because\n//    the flush index is kept outside the function, the reentrant call will pick\n//    up where the earlier call left off and go through all dirty components. The\n//    current_component value is saved and restored so that the reentrant call will\n//    not interfere with the \"parent\" flush() call.\n// 2. bind:this callbacks cannot trigger new flush() calls.\n// 3. During afterUpdate, any updated components will NOT have their afterUpdate\n//    callback called a second time; the seen_callbacks set, outside the flush()\n//    function, guarantees this behavior.\nconst seen_callbacks = new Set();\nlet flushidx = 0; // Do *not* move this inside the flush() function\nfunction flush() {\n    const saved_component = current_component;\n    do {\n        // first, call beforeUpdate functions\n        // and update components\n        while (flushidx < dirty_components.length) {\n            const component = dirty_components[flushidx];\n            flushidx++;\n            set_current_component(component);\n            update(component.$$);\n        }\n        set_current_component(null);\n        dirty_components.length = 0;\n        flushidx = 0;\n        while (binding_callbacks.length)\n            binding_callbacks.pop()();\n        // then, once components are updated, call\n        // afterUpdate functions. This may cause\n        // subsequent updates...\n        for (let i = 0; i < render_callbacks.length; i += 1) {\n            const callback = render_callbacks[i];\n            if (!seen_callbacks.has(callback)) {\n                // ...so guard against infinite loops\n                seen_callbacks.add(callback);\n                callback();\n            }\n        }\n        render_callbacks.length = 0;\n    } while (dirty_components.length);\n    while (flush_callbacks.length) {\n        flush_callbacks.pop()();\n    }\n    update_scheduled = false;\n    seen_callbacks.clear();\n    set_current_component(saved_component);\n}\nfunction update($$) {\n    if ($$.fragment !== null) {\n        $$.update();\n        run_all($$.before_update);\n        const dirty = $$.dirty;\n        $$.dirty = [-1];\n        $$.fragment && $$.fragment.p($$.ctx, dirty);\n        $$.after_update.forEach(add_render_callback);\n    }\n}\n\nlet promise;\nfunction wait() {\n    if (!promise) {\n        promise = Promise.resolve();\n        promise.then(() => {\n            promise = null;\n        });\n    }\n    return promise;\n}\nfunction dispatch(node, direction, kind) {\n    node.dispatchEvent(custom_event(`${direction ? 'intro' : 'outro'}${kind}`));\n}\nconst outroing = new Set();\nlet outros;\nfunction group_outros() {\n    outros = {\n        r: 0,\n        c: [],\n        p: outros // parent group\n    };\n}\nfunction check_outros() {\n    if (!outros.r) {\n        run_all(outros.c);\n    }\n    outros = outros.p;\n}\nfunction transition_in(block, local) {\n    if (block && block.i) {\n        outroing.delete(block);\n        block.i(local);\n    }\n}\nfunction transition_out(block, local, detach, callback) {\n    if (block && block.o) {\n        if (outroing.has(block))\n            return;\n        outroing.add(block);\n        outros.c.push(() => {\n            outroing.delete(block);\n            if (callback) {\n                if (detach)\n                    block.d(1);\n                callback();\n            }\n        });\n        block.o(local);\n    }\n    else if (callback) {\n        callback();\n    }\n}\nconst null_transition = { duration: 0 };\nfunction create_bidirectional_transition(node, fn, params, intro) {\n    let config = fn(node, params);\n    let t = intro ? 0 : 1;\n    let running_program = null;\n    let pending_program = null;\n    let animation_name = null;\n    function clear_animation() {\n        if (animation_name)\n            delete_rule(node, animation_name);\n    }\n    function init(program, duration) {\n        const d = (program.b - t);\n        duration *= Math.abs(d);\n        return {\n            a: t,\n            b: program.b,\n            d,\n            duration,\n            start: program.start,\n            end: program.start + duration,\n            group: program.group\n        };\n    }\n    function go(b) {\n        const { delay = 0, duration = 300, easing = identity, tick = noop, css } = config || null_transition;\n        const program = {\n            start: now() + delay,\n            b\n        };\n        if (!b) {\n            // @ts-ignore todo: improve typings\n            program.group = outros;\n            outros.r += 1;\n        }\n        if (running_program || pending_program) {\n            pending_program = program;\n        }\n        else {\n            // if this is an intro, and there's a delay, we need to do\n            // an initial tick and/or apply CSS animation immediately\n            if (css) {\n                clear_animation();\n                animation_name = create_rule(node, t, b, duration, delay, easing, css);\n            }\n            if (b)\n                tick(0, 1);\n            running_program = init(program, duration);\n            add_render_callback(() => dispatch(node, b, 'start'));\n            loop(now => {\n                if (pending_program && now > pending_program.start) {\n                    running_program = init(pending_program, duration);\n                    pending_program = null;\n                    dispatch(node, running_program.b, 'start');\n                    if (css) {\n                        clear_animation();\n                        animation_name = create_rule(node, t, running_program.b, running_program.duration, 0, easing, config.css);\n                    }\n                }\n                if (running_program) {\n                    if (now >= running_program.end) {\n                        tick(t = running_program.b, 1 - t);\n                        dispatch(node, running_program.b, 'end');\n                        if (!pending_program) {\n                            // we're done\n                            if (running_program.b) {\n                                // intro — we can tidy up immediately\n                                clear_animation();\n                            }\n                            else {\n                                // outro — needs to be coordinated\n                                if (!--running_program.group.r)\n                                    run_all(running_program.group.c);\n                            }\n                        }\n                        running_program = null;\n                    }\n                    else if (now >= running_program.start) {\n                        const p = now - running_program.start;\n                        t = running_program.a + running_program.d * easing(p / running_program.duration);\n                        tick(t, 1 - t);\n                    }\n                }\n                return !!(running_program || pending_program);\n            });\n        }\n    }\n    return {\n        run(b) {\n            if (is_function(config)) {\n                wait().then(() => {\n                    // @ts-ignore\n                    config = config();\n                    go(b);\n                });\n            }\n            else {\n                go(b);\n            }\n        },\n        end() {\n            clear_animation();\n            running_program = pending_program = null;\n        }\n    };\n}\n\nconst globals = (typeof window !== 'undefined'\n    ? window\n    : typeof globalThis !== 'undefined'\n        ? globalThis\n        : global);\n\nfunction destroy_block(block, lookup) {\n    block.d(1);\n    lookup.delete(block.key);\n}\nfunction outro_and_destroy_block(block, lookup) {\n    transition_out(block, 1, 1, () => {\n        lookup.delete(block.key);\n    });\n}\nfunction update_keyed_each(old_blocks, dirty, get_key, dynamic, ctx, list, lookup, node, destroy, create_each_block, next, get_context) {\n    let o = old_blocks.length;\n    let n = list.length;\n    let i = o;\n    const old_indexes = {};\n    while (i--)\n        old_indexes[old_blocks[i].key] = i;\n    const new_blocks = [];\n    const new_lookup = new Map();\n    const deltas = new Map();\n    i = n;\n    while (i--) {\n        const child_ctx = get_context(ctx, list, i);\n        const key = get_key(child_ctx);\n        let block = lookup.get(key);\n        if (!block) {\n            block = create_each_block(key, child_ctx);\n            block.c();\n        }\n        else if (dynamic) {\n            block.p(child_ctx, dirty);\n        }\n        new_lookup.set(key, new_blocks[i] = block);\n        if (key in old_indexes)\n            deltas.set(key, Math.abs(i - old_indexes[key]));\n    }\n    const will_move = new Set();\n    const did_move = new Set();\n    function insert(block) {\n        transition_in(block, 1);\n        block.m(node, next);\n        lookup.set(block.key, block);\n        next = block.first;\n        n--;\n    }\n    while (o && n) {\n        const new_block = new_blocks[n - 1];\n        const old_block = old_blocks[o - 1];\n        const new_key = new_block.key;\n        const old_key = old_block.key;\n        if (new_block === old_block) {\n            // do nothing\n            next = new_block.first;\n            o--;\n            n--;\n        }\n        else if (!new_lookup.has(old_key)) {\n            // remove old block\n            destroy(old_block, lookup);\n            o--;\n        }\n        else if (!lookup.has(new_key) || will_move.has(new_key)) {\n            insert(new_block);\n        }\n        else if (did_move.has(old_key)) {\n            o--;\n        }\n        else if (deltas.get(new_key) > deltas.get(old_key)) {\n            did_move.add(new_key);\n            insert(new_block);\n        }\n        else {\n            will_move.add(old_key);\n            o--;\n        }\n    }\n    while (o--) {\n        const old_block = old_blocks[o];\n        if (!new_lookup.has(old_block.key))\n            destroy(old_block, lookup);\n    }\n    while (n)\n        insert(new_blocks[n - 1]);\n    return new_blocks;\n}\n\nfunction get_spread_update(levels, updates) {\n    const update = {};\n    const to_null_out = {};\n    const accounted_for = { $$scope: 1 };\n    let i = levels.length;\n    while (i--) {\n        const o = levels[i];\n        const n = updates[i];\n        if (n) {\n            for (const key in o) {\n                if (!(key in n))\n                    to_null_out[key] = 1;\n            }\n            for (const key in n) {\n                if (!accounted_for[key]) {\n                    update[key] = n[key];\n                    accounted_for[key] = 1;\n                }\n            }\n            levels[i] = n;\n        }\n        else {\n            for (const key in o) {\n                accounted_for[key] = 1;\n            }\n        }\n    }\n    for (const key in to_null_out) {\n        if (!(key in update))\n            update[key] = undefined;\n    }\n    return update;\n}\nfunction get_spread_object(spread_props) {\n    return typeof spread_props === 'object' && spread_props !== null ? spread_props : {};\n}\n\nfunction bind(component, name, callback) {\n    const index = component.$$.props[name];\n    if (index !== undefined) {\n        component.$$.bound[index] = callback;\n        callback(component.$$.ctx[index]);\n    }\n}\nfunction create_component(block) {\n    block && block.c();\n}\nfunction mount_component(component, target, anchor, customElement) {\n    const { fragment, after_update } = component.$$;\n    fragment && fragment.m(target, anchor);\n    if (!customElement) {\n        // onMount happens before the initial afterUpdate\n        add_render_callback(() => {\n            const new_on_destroy = component.$$.on_mount.map(run).filter(is_function);\n            // if the component was destroyed immediately\n            // it will update the `$$.on_destroy` reference to `null`.\n            // the destructured on_destroy may still reference to the old array\n            if (component.$$.on_destroy) {\n                component.$$.on_destroy.push(...new_on_destroy);\n            }\n            else {\n                // Edge case - component was destroyed immediately,\n                // most likely as a result of a binding initialising\n                run_all(new_on_destroy);\n            }\n            component.$$.on_mount = [];\n        });\n    }\n    after_update.forEach(add_render_callback);\n}\nfunction destroy_component(component, detaching) {\n    const $$ = component.$$;\n    if ($$.fragment !== null) {\n        run_all($$.on_destroy);\n        $$.fragment && $$.fragment.d(detaching);\n        // TODO null out other refs, including component.$$ (but need to\n        // preserve final state?)\n        $$.on_destroy = $$.fragment = null;\n        $$.ctx = [];\n    }\n}\nfunction make_dirty(component, i) {\n    if (component.$$.dirty[0] === -1) {\n        dirty_components.push(component);\n        schedule_update();\n        component.$$.dirty.fill(0);\n    }\n    component.$$.dirty[(i / 31) | 0] |= (1 << (i % 31));\n}\nfunction init(component, options, instance, create_fragment, not_equal, props, append_styles, dirty = [-1]) {\n    const parent_component = current_component;\n    set_current_component(component);\n    const $$ = component.$$ = {\n        fragment: null,\n        ctx: [],\n        // state\n        props,\n        update: noop,\n        not_equal,\n        bound: blank_object(),\n        // lifecycle\n        on_mount: [],\n        on_destroy: [],\n        on_disconnect: [],\n        before_update: [],\n        after_update: [],\n        context: new Map(options.context || (parent_component ? parent_component.$$.context : [])),\n        // everything else\n        callbacks: blank_object(),\n        dirty,\n        skip_bound: false,\n        root: options.target || parent_component.$$.root\n    };\n    append_styles && append_styles($$.root);\n    let ready = false;\n    $$.ctx = instance\n        ? instance(component, options.props || {}, (i, ret, ...rest) => {\n            const value = rest.length ? rest[0] : ret;\n            if ($$.ctx && not_equal($$.ctx[i], $$.ctx[i] = value)) {\n                if (!$$.skip_bound && $$.bound[i])\n                    $$.bound[i](value);\n                if (ready)\n                    make_dirty(component, i);\n            }\n            return ret;\n        })\n        : [];\n    $$.update();\n    ready = true;\n    run_all($$.before_update);\n    // `false` as a special case of no DOM component\n    $$.fragment = create_fragment ? create_fragment($$.ctx) : false;\n    if (options.target) {\n        if (options.hydrate) {\n            const nodes = children(options.target);\n            // eslint-disable-next-line @typescript-eslint/no-non-null-assertion\n            $$.fragment && $$.fragment.l(nodes);\n            nodes.forEach(detach);\n        }\n        else {\n            // eslint-disable-next-line @typescript-eslint/no-non-null-assertion\n            $$.fragment && $$.fragment.c();\n        }\n        if (options.intro)\n            transition_in(component.$$.fragment);\n        mount_component(component, options.target, options.anchor, options.customElement);\n        flush();\n    }\n    set_current_component(parent_component);\n}\n/**\n * Base class for Svelte components. Used when dev=false.\n */\nclass SvelteComponent {\n    $destroy() {\n        destroy_component(this, 1);\n        this.$destroy = noop;\n    }\n    $on(type, callback) {\n        if (!is_function(callback)) {\n            return noop;\n        }\n        const callbacks = (this.$$.callbacks[type] || (this.$$.callbacks[type] = []));\n        callbacks.push(callback);\n        return () => {\n            const index = callbacks.indexOf(callback);\n            if (index !== -1)\n                callbacks.splice(index, 1);\n        };\n    }\n    $set($$props) {\n        if (this.$$set && !is_empty($$props)) {\n            this.$$.skip_bound = true;\n            this.$$set($$props);\n            this.$$.skip_bound = false;\n        }\n    }\n}\n\nconst subscriber_queue = [];\n/**\n * Creates a `Readable` store that allows reading by subscription.\n * @param value initial value\n * @param {StartStopNotifier}start start and stop notifications for subscriptions\n */\nfunction readable(value, start) {\n    return {\n        subscribe: writable(value, start).subscribe\n    };\n}\n/**\n * Create a `Writable` store that allows both updating and reading by subscription.\n * @param {*=}value initial value\n * @param {StartStopNotifier=}start start and stop notifications for subscriptions\n */\nfunction writable(value, start = noop) {\n    let stop;\n    const subscribers = new Set();\n    function set(new_value) {\n        if (safe_not_equal(value, new_value)) {\n            value = new_value;\n            if (stop) { // store is ready\n                const run_queue = !subscriber_queue.length;\n                for (const subscriber of subscribers) {\n                    subscriber[1]();\n                    subscriber_queue.push(subscriber, value);\n                }\n                if (run_queue) {\n                    for (let i = 0; i < subscriber_queue.length; i += 2) {\n                        subscriber_queue[i][0](subscriber_queue[i + 1]);\n                    }\n                    subscriber_queue.length = 0;\n                }\n            }\n        }\n    }\n    function update(fn) {\n        set(fn(value));\n    }\n    function subscribe(run, invalidate = noop) {\n        const subscriber = [run, invalidate];\n        subscribers.add(subscriber);\n        if (subscribers.size === 1) {\n            stop = start(set) || noop;\n        }\n        run(value);\n        return () => {\n            subscribers.delete(subscriber);\n            if (subscribers.size === 0) {\n                stop();\n                stop = null;\n            }\n        };\n    }\n    return { set, update, subscribe };\n}\nfunction derived(stores, fn, initial_value) {\n    const single = !Array.isArray(stores);\n    const stores_array = single\n        ? [stores]\n        : stores;\n    const auto = fn.length < 2;\n    return readable(initial_value, (set) => {\n        let inited = false;\n        const values = [];\n        let pending = 0;\n        let cleanup = noop;\n        const sync = () => {\n            if (pending) {\n                return;\n            }\n            cleanup();\n            const result = fn(single ? values[0] : values, set);\n            if (auto) {\n                set(result);\n            }\n            else {\n                cleanup = is_function(result) ? result : noop;\n            }\n        };\n        const unsubscribers = stores_array.map((store, i) => subscribe(store, (value) => {\n            values[i] = value;\n            pending &= ~(1 << i);\n            if (inited) {\n                sync();\n            }\n        }, () => {\n            pending |= (1 << i);\n        }));\n        inited = true;\n        sync();\n        return function stop() {\n            run_all(unsubscribers);\n            cleanup();\n        };\n    });\n}\n\nvar mergeObjects = (objects) => objects.reduce((prev, curr) => Object.assign(prev, curr), {});\n\n// @ts-ignore\nconst UPDATE_VALUE = (updateValue) => ({ updateValue });\nconst DEFAULT_VALUE = (defaultValue) => ({ defaultValue });\nconst CUSTOM_STORE = (fn) => ({ store: fn });\n// @ts-ignore (fixes error thrown in karma typescript)\nconst DERIVED_STORE = (fn) => ({ store: (defaultValue, stores) => derived(...fn(stores)) });\nconst UNIQUE_DERIVED_STORE = (fn) => ({\n    store: (defaultValue, stores) => {\n        const [selectedStores, update, isEqual = () => false] = fn(stores);\n        let isFirst = true;\n        let currentValue;\n        return derived(selectedStores, (storeValues, set) => {\n            update(storeValues, (value) => {\n                if (!isFirst && isEqual(currentValue, value))\n                    return;\n                currentValue = value;\n                isFirst = false;\n                set(value);\n            });\n        });\n    },\n});\nconst MAP_STORE = (fn) => ({\n    store: (defaultValue, stores) => {\n        const [valueMapper, observedStores = {}, sorter = undefined] = fn(stores);\n        let storedItems = [];\n        const $observedStores = {};\n        const mapValue = (item) => valueMapper(item, $observedStores);\n        // set default properties for each item\n        const setValue = (items) => {\n            // was empty, still empty\n            if (!storedItems.length && !items.length)\n                return;\n            // update value\n            storedItems = items;\n            updateValue();\n        };\n        const updateValue = () => {\n            const mappedItems = storedItems.map(mapValue);\n            if (sorter)\n                mappedItems.sort(sorter);\n            storedItems = [...mappedItems];\n            set(mappedItems);\n        };\n        // TODO: need to at some point unsub from these stores\n        Object.entries(observedStores).map(([name, store]) => {\n            return store.subscribe((value) => {\n                $observedStores[name] = value;\n                if (!value)\n                    return;\n                updateValue();\n            });\n        });\n        const { subscribe, set } = writable(defaultValue || []);\n        return {\n            set: setValue,\n            update: (fn) => setValue(fn(storedItems)),\n            subscribe,\n        };\n    },\n});\nconst createStore$1 = (accessors, stores, options) => {\n    const { store = (defaultValue) => writable(defaultValue), defaultValue = noop$1, // should be a function returning the default value\n    updateValue = undefined, } = options;\n    // create our private store\n    const storeInstance = store(defaultValue(), stores, accessors);\n    const { subscribe, update = noop$1 } = storeInstance; // update = noop because not all stores can be updated\n    // on update private store\n    let unsub;\n    const onUpdate = (cb) => {\n        let ignoreFirstCallback = true;\n        if (unsub)\n            unsub();\n        unsub = subscribe((value) => {\n            // need to ignore first callback because that returns current value\n            if (ignoreFirstCallback)\n                return (ignoreFirstCallback = false);\n            // now we have the newly assigned value\n            cb(value);\n            unsub();\n            unsub = undefined;\n        });\n    };\n    // create the value updater function, needs access to stores so can read all store values\n    const updateStoreValue = updateValue ? updateValue(accessors) : passthrough;\n    // set and validate value\n    storeInstance.set = (nextValue) => update((previousValue) => updateStoreValue(nextValue, previousValue, onUpdate));\n    // set default value for external reference\n    storeInstance.defaultValue = defaultValue;\n    // expose store api\n    return storeInstance;\n};\nvar createStores = (props) => {\n    const stores = {};\n    const accessors = {};\n    props.forEach(([name, ...options]) => {\n        const opts = mergeObjects(options);\n        const store = (stores[name] = createStore$1(accessors, stores, opts));\n        const property = {\n            get: () => get_store_value(store),\n            set: store.set,\n        };\n        Object.defineProperty(accessors, name, property);\n    });\n    return {\n        stores,\n        accessors,\n    };\n};\n\n// custom source store so we only trigger update when src changes\nconst sourceStore = () => {\n    // inner value\n    let value;\n    const { subscribe, set } = writable();\n    const _set = (newValue) => {\n        // is equal, bounce!\n        if (value === newValue)\n            return;\n        value = newValue;\n        set(value);\n    };\n    const _update = (fn) => _set(fn(value));\n    return {\n        set: _set,\n        subscribe,\n        update: _update,\n    };\n};\nvar props = [\n    // io\n    ['src', CUSTOM_STORE(sourceStore)],\n    ['imageReader'],\n    ['imageWriter'],\n    // will scramble image data for use with image redaction logic\n    ['imageScrambler'],\n    // should we render a smooth or pixelated redaction\n    ['imageRedactionRendering', DEFAULT_VALUE(() => 'pixelated')],\n    // current images\n    ['images', DEFAULT_VALUE(() => [])],\n    // will process markup items before rendering, used by arrows and frames\n    ['shapePreprocessor'],\n    // will be called when requesting a resource, return false to prevent loading, receives URL and XHR\n    ['willRequestResource'] /* deprecated */,\n    // will be called when requesting a resource, receives URL and requestType\n    // return false to prevent loading\n    // return object with options to update request\n    // return undefined to continue as normal\n    ['willRequest'],\n];\n\nvar capitalizeFirstLetter = (str) => str.charAt(0).toUpperCase() + str.slice(1);\n\nvar defineMethods = (object, api) => {\n    Object.keys(api).forEach((name) => {\n        const descriptor = isFunction(api[name])\n            ? {\n                value: api[name],\n                writable: false,\n            }\n            : api[name];\n        Object.defineProperty(object, name, descriptor);\n    });\n};\n\n// TODO: replace with pointInPoly from geom, this function works correctly with \"offsetRectToFitPolygon\" but doesn't always work correctly, the pointInPoly from geom does work correctly but causes offsetRectToFitPolygon to sometimes work incorrectly, needs to be cleaned up in the future\nconst pointInPoly = (point, vertices) => {\n    let i;\n    let a;\n    let b;\n    let aX;\n    let aY;\n    let bX;\n    let bY;\n    let edgeX;\n    let edgeY;\n    let d;\n    const l = vertices.length;\n    for (i = 0; i < l; i++) {\n        // current vertex\n        a = vertices[i];\n        // next vertex\n        b = vertices[i + 1 > l - 1 ? 0 : i + 1];\n        // translate so that point is the origin of the calculation\n        aX = a.x - point.x;\n        aY = a.y - point.y;\n        bX = b.x - point.x;\n        bY = b.y - point.y;\n        edgeX = aX - bX;\n        edgeY = aY - bY;\n        d = edgeX * aY - edgeY * aX;\n        // 0 is ON the edge, but we check for -0.00001 to fix floating point errors\n        if (d < -0.00001)\n            return false;\n    }\n    return true;\n};\nconst scalar = 10000;\nvar offsetRectToFitPolygon = (rect, poly) => {\n    const polyLines = quadLines(poly);\n    const offset = vectorCreateEmpty();\n    const rectVertexes = rectGetCorners(rect);\n    // we can fit it\n    rectVertexes.forEach((vertex) => {\n        // we update each corner by adding the current offset\n        vectorAdd(vertex, offset);\n        // test if point lies in polygon, if so, all is fine and we can exit\n        if (pointInPoly(vertex, poly))\n            return;\n        polyLines.forEach((line) => {\n            // get angle of edge and draw a ray from the corner perpendicular to the edge\n            const a = Math.atan2(line.start.y - line.end.y, line.start.x - line.end.x);\n            const x = Math.sin(Math.PI - a) * scalar;\n            const y = Math.cos(Math.PI - a) * scalar;\n            const ray = vectorCreate(vertex.x + x, vertex.y + y);\n            // extend the poly line so even if we overshoot the polygon we hit it\n            const lineExtended = lineExtend(lineClone(line), scalar);\n            // get the resulting intersection (there's always an intersection)\n            const intersection = lineLineIntersection(lineCreate(vertex, ray), lineExtended);\n            // no intersection, no need to do anything\n            if (!intersection)\n                return;\n            // update offset to move towards image\n            vectorAdd(offset, vectorSubtract(vectorClone(intersection), vertex));\n        });\n    });\n    // test if any vertexes still fall outside of poly, if so, we can't fit the rect\n    const rectOffset = rectClone$1(rect);\n    vectorAdd(rectOffset, offset);\n    const rectOffsetVertices = rectGetCorners(rectOffset);\n    const fits = rectOffsetVertices.every((vertex) => pointInPoly(vertex, poly));\n    if (fits) {\n        rectUpdateWithRect(rect, rectOffset);\n        return true;\n    }\n    return false;\n};\n\nvar limitCropRectToImage = (rect, poly) => {\n    // get crop rect polygon vertexes\n    const rectVertexes = rectGetCorners(rect);\n    // if we end up here it doesn't fit, we might need to adjust\n    const polyLines = quadToLines(poly, 5);\n    const rectCenterPosition = rectCenter(rect);\n    const intersections = [];\n    rectVertexes.forEach((rectVertex) => {\n        const ray = lineMultiply(lineCreate(vectorClone(rectCenterPosition), vectorClone(rectVertex)), 1000000);\n        let intersectionFound = false;\n        polyLines.map(lineClone).forEach((line) => {\n            const intersection = lineLineIntersection(ray, line);\n            if (!intersection || intersectionFound)\n                return;\n            intersections.push(intersection);\n            intersectionFound = true;\n        });\n    });\n    // top left -> bottom right\n    const tlbr = vectorDistance(intersections[0], intersections[2]);\n    // top right -> bottom left\n    const trbl = vectorDistance(intersections[1], intersections[3]);\n    // calculate smallest rectangle we can make, use that\n    const rectLimitedVertices = tlbr < trbl ? [intersections[0], intersections[2]] : [intersections[1], intersections[3]];\n    const rectLimitedToPolygon = rectCreateFromPoints(rectLimitedVertices);\n    // only use our fitted crop rectangle if it's smaller than our current rectangle,\n    // this would mean that our current rectangle couldn't be moved to make it fit\n    if (rectLimitedToPolygon.width < rect.width) {\n        // need to center on previous rect\n        rectUpdateWithRect(rect, rectLimitedToPolygon);\n        return true;\n    }\n    return false;\n};\n\nvar getImagePolygon = (image, imageRotation, imagePerspective = { x: 0, y: 0 }) => {\n    const imageRect = rectCreateFromSize(image);\n    const imageCenter = rectCenter(imageRect);\n    const imagePoly = rectApplyPerspective(imageRect, imagePerspective, imageCenter).map((imageVertex) => vectorRotate(imageVertex, imageRotation, imageCenter));\n    // get image poly bounds, we need this to offset the poly vertices from 0,0\n    const imagePolyBounds = rectCreateFromPoints(imagePoly);\n    // get image polygon vertexes\n    return imagePoly.map((imageVertex) => vectorSubtract(imageVertex, imagePolyBounds));\n};\n\nvar getMaxSizeInRect = (size, rotation = 0, aspectRatio = rectAspectRatio(size)) => {\n    let width;\n    let height;\n    if (rotation !== 0) {\n        const innerAngle = Math.atan2(1, aspectRatio);\n        const rotationSigned = Math.sign(rotation) * rotation;\n        const rotationSignedMod = rotationSigned % Math.PI;\n        const rotationSignedModHalf = rotationSigned % HALF_PI;\n        // determine if is turned on side\n        let r;\n        if (rotationSignedMod > QUART_PI && rotationSignedMod < HALF_PI + QUART_PI) {\n            r = rotationSignedModHalf > QUART_PI ? rotationSigned : HALF_PI - rotationSignedModHalf;\n        }\n        else {\n            r = rotationSignedModHalf > QUART_PI ? HALF_PI - rotationSignedModHalf : rotationSigned;\n        }\n        const hyp = Math.min(Math.abs(size.height / Math.sin(innerAngle + r)), Math.abs(size.width / Math.cos(innerAngle - r)));\n        width = Math.cos(innerAngle) * hyp;\n        height = width / aspectRatio;\n    }\n    else {\n        width = size.width;\n        height = width / aspectRatio;\n        if (height > size.height) {\n            height = size.height;\n            width = height * aspectRatio;\n        }\n    }\n    return sizeCreate(width, height);\n};\n\nvar limitRectToImage = (rect, imageSize, imageRotation = 0, imagePerspective = vectorCreateEmpty(), minSize) => {\n    // rotation and/or perspective, let's use the \"advanced\" collision detection method\n    if ((isNumber(imageRotation) && imageRotation !== 0) ||\n        imagePerspective.x ||\n        imagePerspective.y) {\n        const inputAspectRatio = rectAspectRatio(rect);\n        // test if crop can fit image, if it can, offset the crop so it fits\n        const imagePolygon = getImagePolygon(imageSize, imageRotation, imagePerspective);\n        const maxSizeInRect = getMaxSizeInRect(imageSize, imageRotation, inputAspectRatio);\n        const canFit = rect.width < maxSizeInRect.width && rect.height < maxSizeInRect.height;\n        if (!canFit) {\n            const dx = rect.width * 0.5 - maxSizeInRect.width * 0.5;\n            const dy = rect.height * 0.5 - maxSizeInRect.height * 0.5;\n            // adjust crop rect to max size\n            if (rect.width > maxSizeInRect.width) {\n                rect.width = maxSizeInRect.width;\n                rect.x += dx;\n            }\n            if (rect.height > maxSizeInRect.height) {\n                rect.height = maxSizeInRect.height;\n                rect.y += dy;\n            }\n            // test if has exceeded min size, if so we need to limit the size and recalculate the other edge\n            /*\n                        -\\\n                       /  ---\\\n                      h2      ---\\\n                     /            ---\\\n                    +--------w---------+\\\n                   /|                  | ---\\\n                  / |                  |     ---\\\n                 /  |                  |         ---\\\n                /   |                  |             --\n               h1   |                  |             /\n              /     |                  |            /\n             /      |                  |           /\n            -\\      |                  |          /\n              ---\\  |                  |         /\n                  --+------------------+        /\n                      ---\\                     /\n                          --\\                 /\n                             ---\\            /\n                                 ---\\       /\n                                     ---\\  /\n                                         --\n            */\n        }\n        offsetRectToFitPolygon(rect, imagePolygon);\n        const wasLimited = limitCropRectToImage(rect, imagePolygon);\n        // this makes sure that after limiting the size, the crop rect is moved to a position that is inside the image\n        if (wasLimited)\n            offsetRectToFitPolygon(rect, imagePolygon);\n    }\n    // no rotation, no perspective, use simple bounds method\n    else {\n        // remember intended aspect ratio so we can try and recreate it\n        const intendedAspectRatio = rectAspectRatio(rect);\n        // limit to image size first, can never exceed that\n        rect.width = Math.min(rect.width, imageSize.width);\n        rect.height = Math.min(rect.height, imageSize.height);\n        // reposition rect so it's always inside image bounds\n        rect.x = Math.max(rect.x, 0);\n        if (rect.x + rect.width > imageSize.width) {\n            rect.x -= rect.x + rect.width - imageSize.width;\n        }\n        rect.y = Math.max(rect.y, 0);\n        if (rect.y + rect.height > imageSize.height) {\n            rect.y -= rect.y + rect.height - imageSize.height;\n        }\n        // we get the center of the current rect so we can center the contained rect to it\n        const intendedCenter = rectCenter(rect);\n        // make sure still adheres to aspect ratio\n        const containedRect = rectContainRect(rect, intendedAspectRatio);\n        containedRect.width = Math.max(minSize.width, containedRect.width);\n        containedRect.height = Math.max(minSize.height, containedRect.height);\n        containedRect.x = intendedCenter.x - containedRect.width * 0.5;\n        containedRect.y = intendedCenter.y - containedRect.height * 0.5;\n        rectUpdateWithRect(rect, containedRect);\n    }\n};\n\nvar applyCropRectAction = (cropRectPrevious, cropRectNext, imageSize, imageRotation, imagePerspective, cropLimitToImageBounds, cropMinSize, cropMaxSize) => {\n    // clone\n    const minSize = sizeClone(cropMinSize);\n    // set upper bounds to crop max size\n    const maxSize = sizeClone(cropMaxSize);\n    // limit max size (more important that min size is respected so first limit max size)\n    const maxScalar = fixPrecision(Math.max(cropRectNext.width / maxSize.width, cropRectNext.height / maxSize.height));\n    const minScalar = fixPrecision(Math.min(cropRectNext.width / minSize.width, cropRectNext.height / minSize.height));\n    // clone for resulting crop rect\n    const cropRectOut = rectClone$1(cropRectNext);\n    //\n    // if exceeds min or max scale correct next crop rectangle to conform to bounds\n    //\n    if (minScalar < 1 || maxScalar > 1) {\n        // center of both previous and next crop rects\n        const previousCropRectCenter = rectCenter(cropRectPrevious);\n        const nextCropRectCenter = rectCenter(cropRectNext);\n        // calculate scales\n        const scalar = minScalar < 1 ? minScalar : maxScalar;\n        const cx = (nextCropRectCenter.x + previousCropRectCenter.x) / 2;\n        const cy = (nextCropRectCenter.y + previousCropRectCenter.y) / 2;\n        const cw = cropRectOut.width / scalar;\n        const ch = cropRectOut.height / scalar;\n        rectUpdate(cropRectOut, cx - cw * 0.5, cy - ch * 0.5, cw, ch);\n    }\n    // no need to limit to bounds, let's go!\n    if (!cropLimitToImageBounds)\n        return {\n            crop: cropRectOut,\n        };\n    //\n    // make sure the crop is made inside the bounds of the image\n    //\n    limitRectToImage(cropRectOut, imageSize, imageRotation, imagePerspective, minSize);\n    return {\n        crop: cropRectOut,\n    };\n};\n\nvar getBaseCropRect = (imageSize, transformedCropRect, imageRotation) => {\n    const imageRect = rectCreateFromSize(imageSize);\n    const imageCenter = rectCenter(imageRect);\n    const imageTransformedVertices = rectRotate(imageRect, imageRotation, imageCenter);\n    // get the rotated image bounds center (offset isn't relevant as crop is relative to top left image position)\n    const imageRotatedBoundsCenter = rectCenter(rectNormalizeOffset(rectCreateFromPoints(imageTransformedVertices)));\n    // get the center of the crop inside the rotated image\n    const cropCenterInTransformedImage = rectCenter(transformedCropRect);\n    // invert the rotation of the crop center around the rotated image center\n    const deRotatedCropCenter = vectorRotate(cropCenterInTransformedImage, -imageRotation, imageRotatedBoundsCenter);\n    // calculate crop distance from rotated image center\n    const cropFromCenterOfTransformedImage = vectorSubtract(deRotatedCropCenter, imageRotatedBoundsCenter);\n    // calculate original crop offset (from untransformed image)\n    const originalCropCenterOffset = vectorApply(vectorAdd(imageCenter, cropFromCenterOfTransformedImage), fixPrecision);\n    return rectCreate(originalCropCenterOffset.x - transformedCropRect.width * 0.5, originalCropCenterOffset.y - transformedCropRect.height * 0.5, transformedCropRect.width, transformedCropRect.height);\n};\n\nvar clamp = (value, min, max) => Math.max(min, Math.min(value, max));\n\nvar applyRotationAction = (imageRotationPrevious, imageRotation, imageRotationRange, cropRect, imageSize, imagePerspective, cropLimitToImageBounds, cropRectOrigin, cropMinSize, cropMaxSize) => {\n    // clone\n    const minSize = sizeClone(cropMinSize);\n    // set upper bounds to crop max size if image is bigger than max size,\n    // else if should limit to image bounds use image size as limit\n    const maxSize = sizeClone(cropMaxSize);\n    if (cropLimitToImageBounds) {\n        maxSize.width = Math.min(cropMaxSize.width, imageSize.width);\n        maxSize.height = Math.min(cropMaxSize.height, imageSize.height);\n    }\n    let didAttemptDoubleTurn = false;\n    const rotate = (rotationPrevious, rotation) => {\n        // get the base crop rect (position of crop rect in untransformed image)\n        // if we have the base crop rect we can apply the new rotation to it\n        const cropRectBase = getBaseCropRect(imageSize, cropRect, rotationPrevious);\n        // calculate transforms based on new rotation and base crop rect\n        const imageRect = rectCreateFromSize(imageSize);\n        const imageCenter = rectCenter(imageRect);\n        const imageTransformedCorners = rectApplyPerspective(imageRect, imagePerspective, imageCenter);\n        // need this to correct for perspective centroid displacement\n        const perspectiveOffset = vectorSubtract(vectorClone(imageCenter), convexPolyCentroid(imageTransformedCorners));\n        // rotate around center of image\n        const cropCenter = vectorRotate(rectCenter(cropRectBase), rotation, imageCenter);\n        const rotateCropOffset = vectorSubtract(vectorClone(imageCenter), cropCenter);\n        // get center of image bounds and move to correct position\n        imageTransformedCorners.forEach((imageVertex) => vectorRotate(imageVertex, rotation, imageCenter));\n        const imageBoundsRect = rectCreateFromPoints(imageTransformedCorners);\n        const imageCentroid = convexPolyCentroid(imageTransformedCorners);\n        const cropOffset = vectorAdd(vectorSubtract(vectorSubtract(imageCentroid, rotateCropOffset), imageBoundsRect), perspectiveOffset);\n        // create output cropRect\n        const cropRectOut = rectCreate(cropOffset.x - cropRectBase.width * 0.5, cropOffset.y - cropRectBase.height * 0.5, cropRectBase.width, cropRectBase.height);\n        // if has size target, scale croprect to target size\n        if (cropRectOrigin) {\n            rectScale$1(cropRectOut, cropRectOrigin.width / cropRectOut.width);\n        }\n        // if should limit to image bounds\n        if (cropLimitToImageBounds) {\n            const imagePoly = getImagePolygon(imageSize, rotation, imagePerspective);\n            // offsetRectToFitPolygon(cropRectOut, imagePoly);\n            // commenting this fixes poly sliding problem when adjusting rotation\n            limitCropRectToImage(cropRectOut, imagePoly);\n        }\n        //#region if exceeds min or max adjust rotation to conform to bounds\n        const minScalar = fixPrecision(Math.min(cropRectOut.width / minSize.width, cropRectOut.height / minSize.height), 8);\n        const maxScalar = fixPrecision(Math.max(cropRectOut.width / maxSize.width, cropRectOut.height / maxSize.height), 8);\n        if (minScalar < 1 || maxScalar > 1) {\n            // determine if is full image turn\n            const isTurn = fixPrecision(Math.abs(rotation - rotationPrevious)) === fixPrecision(Math.PI / 2);\n            // try another turn if is turning image\n            if (isTurn && !didAttemptDoubleTurn) {\n                didAttemptDoubleTurn = true;\n                return rotate(imageRotationPrevious, imageRotationPrevious + Math.sign(rotation - rotationPrevious) * Math.PI);\n            }\n        }\n        //#endregion\n        return {\n            rotation,\n            crop: rectApply(cropRectOut, (v) => fixPrecision(v, 8)),\n        };\n    };\n    // amount of turns applied, we need this to correctly determine the allowed rotation range\n    const imageTurns = Math.sign(imageRotation) * Math.round(Math.abs(imageRotation) / HALF_PI) * HALF_PI;\n    const imageRotationClamped = clamp(imageRotation, imageTurns + imageRotationRange[0], imageTurns + imageRotationRange[1]);\n    // set new crop position\n    return rotate(imageRotationPrevious, imageRotationClamped);\n};\n\n// @ts-ignore\nconst ORDERED_STATE_PROPS = [\n    // requirements\n    'cropLimitToImage',\n    'cropMinSize',\n    'cropMaxSize',\n    'cropAspectRatio',\n    // selection -> flip -> rotate -> (perspective ->) crop\n    'flipX',\n    'flipY',\n    'rotation',\n    'crop',\n    // effects\n    'colorMatrix',\n    'convolutionMatrix',\n    'gamma',\n    'vignette',\n    // 'noise',\n    // shapes\n    'redaction',\n    'annotation',\n    'decoration',\n    'frame',\n    // other\n    'backgroundColor',\n    'backgroundImage',\n    'targetSize',\n    'metadata',\n    // video\n    'trim',\n    'volume',\n];\nconst clone = (value) => {\n    if (isArray(value)) {\n        return value.map(clone);\n    }\n    else if (isBlob(value) || isFile(value)) {\n        return value;\n    }\n    else if (isObject(value)) {\n        return { ...value };\n    }\n    return value;\n};\nconst filterShapeState = (shapes) => shapes.map((shape) => Object.entries(shape).reduce((copy, [key, value]) => {\n    if (key.startsWith('_'))\n        return copy;\n    copy[key] = value;\n    return copy;\n}, {}));\nvar stateStore = (_, stores, accessors) => {\n    const observedStores = ORDERED_STATE_PROPS.map((key) => stores[key]);\n    // used to wait with deriving state until new state is fully assigned\n    let isAssigningState = false;\n    const forceState = writable({});\n    // can only subscribe, setting is done directly through store accessors\n    // @ts-ignore (fixes error thrown in karma typescript)\n    const { subscribe } = derived([...observedStores, forceState], (values, set) => {\n        // is setting state\n        if (isAssigningState)\n            return;\n        // create new state by looping over props in certain order\n        const state = ORDERED_STATE_PROPS.reduce((prev, curr, i) => {\n            prev[curr] = clone(values[i]);\n            return prev;\n        }, {});\n        // round crop if defined\n        state.crop && rectApply(state.crop, Math.round);\n        // remove internal state props from decoration and annotation\n        state.redaction = state.redaction && filterShapeState(state.redaction);\n        state.annotation = state.annotation && filterShapeState(state.annotation);\n        state.decoration = state.decoration && filterShapeState(state.decoration);\n        // set new state\n        set(state);\n    });\n    const setState = (state) => {\n        // requires at least some state to be supplied\n        if (!state)\n            return;\n        // now assigning state so don't derive state object untill done\n        isAssigningState = true;\n        // make sure crop origin is reset\n        accessors.cropOrigin = undefined;\n        // apply new values\n        ORDERED_STATE_PROPS\n            // remove keys that weren't set\n            .filter((key) => hasProp(state, key))\n            // apply each key in order\n            .forEach((key) => {\n            const value = state[key];\n            accessors[key] = value === null ? undefined : clone(value);\n        });\n        // now refresh state\n        isAssigningState = false;\n        forceState.set({});\n    };\n    return {\n        set: setState,\n        update: (fn) => setState(fn(null)),\n        subscribe,\n    };\n};\n\nvar toNumericAspectRatio = (v) => {\n    if (!v)\n        return undefined;\n    if (/:/.test(v)) {\n        const [w, h] = v.split(':');\n        return w / h;\n    }\n    return parseFloat(v);\n};\n\nconst simpleEqual = (a, b) => a === b;\nvar arrayEqual = (a, b, itemEqual = simpleEqual) => {\n    // if length is different, it's always changed\n    if (a.length !== b.length)\n        return false;\n    // need to test item equality\n    for (let i = 0; i < a.length; i++) {\n        if (!itemEqual(a[i], b[i]))\n            return false;\n    }\n    return true;\n};\n\nvar padColorArray = (color = [0, 0, 0, 0], opacity = 1.0) => color.length === 4 ? color : [...color, opacity];\n\n//\n// helper methods\n//\nconst isCropCentered = (crop, imageSize, imageRotation) => {\n    const cropCenter = vectorApply(rectCenter(crop), (v) => fixPrecision(v, 8));\n    const imageRect = rectCreateFromSize(imageSize);\n    const imageCenter = rectCenter(imageRect);\n    const imageRotatedVertices = rectRotate(imageRect, imageRotation, imageCenter);\n    const imageBoundsCenter = vectorApply(sizeCenter(rectCreateFromPoints(imageRotatedVertices)), (v) => fixPrecision(v, 8));\n    const dx = Math.abs(imageBoundsCenter.x - cropCenter.x);\n    const dy = Math.abs(imageBoundsCenter.y - cropCenter.y);\n    return dx < 1 && dy < 1;\n};\nconst isCropMaxSize = (cropRect, imageSize, rotation) => {\n    const maxSize = getMaxSizeInRect(imageSize, rotation, rectAspectRatio(cropRect));\n    return sizeEqual(sizeApply(maxSize, Math.round), sizeApply(sizeClone(cropRect), Math.round));\n};\n//\n// updater methods\n//\nconst updateCropRect = (props) => (cropNext, cropPrevious = cropNext) => {\n    // wait for image to load\n    const { loadState, size, cropMinSize, cropMaxSize, cropLimitToImage, cropAspectRatio, rotation, perspective, } = props;\n    // image hasn't loaded yet, use supplied crop rect\n    if ((!cropNext && !cropPrevious) || !loadState || !loadState.beforeComplete)\n        return cropNext;\n    // crop previous set, crop next set to undefined, set crop to fit image\n    if (!cropNext)\n        cropNext = rectCreateFromSize(getMaxSizeInRect(size, rotation, cropAspectRatio || rectAspectRatio(size)));\n    // apply the action\n    const res = applyCropRectAction(cropPrevious, cropNext, size, rotation, perspective, cropLimitToImage, cropMinSize, cropMaxSize);\n    const cropOut = rectApply(res.crop, (v) => fixPrecision(v, 8));\n    if (rectEqual(cropPrevious, cropOut))\n        return cropPrevious;\n    return cropOut;\n};\nconst updateCropAspectRatio = (props) => (aspectRatioNext, aspectRatioPrevious) => {\n    const { loadState, crop, size, rotation, cropLimitToImage } = props;\n    const aspectRatio = toNumericAspectRatio(aspectRatioNext);\n    // no aspect ratio means custom aspect ratio so set to undefined\n    if (!aspectRatio)\n        return undefined;\n    // can't update crop if not defined yet\n    if (!crop || !loadState || !loadState.beforeComplete)\n        return aspectRatio;\n    // calculate difference between aspect ratios, if big difference, re-align in image\n    const aspectRatioDist = aspectRatioPrevious\n        ? Math.abs(aspectRatioNext - aspectRatioPrevious)\n        : 1;\n    // if crop centered scale up\n    if (isCropCentered(crop, size, rotation) && cropLimitToImage && aspectRatioDist >= 0.1) {\n        const imageSize = sizeTurn(sizeClone(size), rotation);\n        props.crop = rectApply(rectContainRect(rectCreateFromSize(imageSize), aspectRatioNext), fixPrecision);\n    }\n    else {\n        const cropSize = {\n            width: crop.height * aspectRatio,\n            height: crop.height,\n        };\n        const tx = (crop.width - cropSize.width) * 0.5;\n        const ty = (crop.height - cropSize.height) * 0.5;\n        props.crop = rectApply(rectCreate(crop.x + tx, crop.y + ty, cropSize.width, cropSize.height), fixPrecision);\n    }\n    return aspectRatio;\n};\nconst updateCropLimitToImage = (props) => (limitToImageNext, limitToImagePrevious, onUpdate) => {\n    // skip if no crop defined\n    const { crop } = props;\n    if (!crop)\n        return limitToImageNext;\n    // if was not limiting previously and now set limiting make sure crop fits bounds\n    if (!limitToImagePrevious && limitToImageNext) {\n        onUpdate(() => (props.crop = rectClone$1(props.crop)));\n    }\n    return limitToImageNext;\n};\nconst updateRotation = (props) => (rotationNext, rotationPrevious, onUpdate) => {\n    // when image rotation is updated we need to adjust the\n    // cropRect offset so rotation happens from cropRect center\n    // no change\n    if (rotationNext === rotationPrevious)\n        return rotationNext;\n    // get relevant data from store state\n    const { loadState, size, rotationRange, cropMinSize, cropMaxSize, crop, perspective, cropLimitToImage, cropOrigin, } = props;\n    // image not ready, exit!\n    if (!crop || !loadState || !loadState.beforeComplete)\n        return rotationNext;\n    // remember if current crop was at max size and centered, if so, resulting crop should also be at max size\n    const cropWasAtMaxSize = cropLimitToImage && isCropMaxSize(crop, size, rotationPrevious);\n    const cropWasCentered = cropLimitToImage && isCropCentered(crop, size, rotationPrevious);\n    // get new state\n    const res = applyRotationAction(rotationPrevious, rotationNext, rotationRange, crop, size, perspective, cropLimitToImage, cropOrigin, cropMinSize, cropMaxSize);\n    // if is centered, and initial crop was at max size expand crop to max size\n    if (cropWasAtMaxSize && cropWasCentered) {\n        const rect = getMaxSizeInRect(size, rotationNext, rectAspectRatio(res.crop));\n        // move top left corner\n        res.crop.x += res.crop.width * 0.5;\n        res.crop.y += res.crop.height * 0.5;\n        res.crop.x -= rect.width * 0.5;\n        res.crop.y -= rect.height * 0.5;\n        // update size to max size\n        res.crop.width = rect.width;\n        res.crop.height = rect.height;\n    }\n    // return validated rotation value, then, after we assign that value, we update the crop rect\n    // we may only call onUpdate if a change was made\n    onUpdate(() => {\n        props.crop = rectApply(res.crop, (v) => fixPrecision(v, 8));\n    });\n    // return result rotation (might have been rotated twice to fit crop rectangle)\n    return res.rotation;\n};\n// updates the range of valid rotation input\nconst updateRotationRange = (imageSize, imageIsRotatedSideways, cropMinSize, cropSize, cropLimitToImage) => {\n    if (!cropLimitToImage)\n        return [-Infinity, Infinity];\n    /*\n    - 'a' is angle between diagonal and image height\n    - 'b' is angle between diagonal and crop height\n    - 'c' is angle between diagonal and image width\n    - resulting range is then a - b\n    +----------/\\------------------------+\n    |         / \\ \\                      |\n    |        /   \\  \\                    |\n    |       /     \\   \\                  |\n    |       \\      \\    \\                |\n    |         \\     \\     \\              |\n    |           \\    \\      \\            |\n    |             \\   \\       /          |\n    |               \\  \\     /           |\n    |                 \\ \\   /            |\n    |                   \\\\a/b            |\n    +---------------------\\--------------+\n    */\n    const scalar = Math.max(cropMinSize.width / cropSize.width, cropMinSize.height / cropSize.height);\n    const minSize = sizeCreate(cropSize.width * scalar, cropSize.height * scalar);\n    // the hypotenus is the length of the diagonal of the min crop size\n    const requiredSpace = sizeHypotenuse(minSize);\n    // minimum space available in horizontal / vertical direction\n    const availableSpace = Math.min(imageSize.width, imageSize.height);\n    // if there's enough space available, we can return the max range\n    if (requiredSpace < availableSpace)\n        return [-Infinity, Infinity];\n    // if the image is turned we need to swap the width and height\n    const imageWidth = imageIsRotatedSideways ? imageSize.height : imageSize.width;\n    const imageHeight = imageIsRotatedSideways ? imageSize.width : imageSize.height;\n    // subtracting the angle between the hypotenuse and the crop itself\n    const a = Math.acos(minSize.height / requiredSpace);\n    const b = Math.acos(imageHeight / requiredSpace);\n    const c = Math.asin(imageWidth / requiredSpace);\n    const rangeHorizontal = a - b;\n    const rangeVertical = c - a;\n    // range is not a number, it means we can rotate as much as we want\n    if (Number.isNaN(rangeHorizontal) && Number.isNaN(rangeVertical))\n        return [-Infinity, Infinity];\n    // get minimum range\n    const range = Number.isNaN(rangeHorizontal)\n        ? rangeVertical\n        : Number.isNaN(rangeVertical)\n            ? rangeHorizontal\n            : Math.min(rangeHorizontal, rangeVertical);\n    // if not, limit range to min and max rotation\n    return [-range, range];\n};\n// updates the range of valid crop rectangle input\nconst updateCropRange = (imageSize, rotation, cropAspectRatio, cropMinSize, cropMaxSize, cropLimitToImage) => {\n    // ! rotation doesn't affect min size, only max size\n    // set lower bounds to crop min size\n    const minSize = sizeClone(cropMinSize);\n    // set upper bounds to crop max size\n    const maxSize = sizeClone(cropMaxSize);\n    // now we got basic bounds, let's see if we should limit to the image bounds, else we done\n    if (!cropLimitToImage)\n        return [minSize, maxSize];\n    return [minSize, sizeApply(getMaxSizeInRect(imageSize, rotation, cropAspectRatio), Math.round)];\n};\nconst formatShape = (shape, options) => {\n    const { context, props } = options;\n    // only auto-format once\n    if (!shape._isFormatted) {\n        shape = shapeFormat(shape);\n        shape._isFormatted = true;\n        Object.assign(shape, props);\n    }\n    // we need to make sure shape is still correctly positioned relative to parent context\n    // draft cannot be relative\n    // if context changed\n    // if has left top right or bottom\n    if (!shape._isDraft &&\n        shapeHasRelativeSize(shape) &&\n        (!shape._context || !rectEqual(context, shape._context))) {\n        shapeComputeRect(shape, context);\n        shape._context = { ...context };\n    }\n    return shape;\n};\nconst updateFrame = () => (frameShapeNext) => {\n    if (!frameShapeNext)\n        return;\n    const shape = {\n        frameStyle: undefined,\n        x: 0,\n        y: 0,\n        width: '100%',\n        height: '100%',\n        disableStyle: ['backgroundColor', 'strokeColor', 'strokeWidth'],\n    };\n    if (isString(frameShapeNext)) {\n        shape.frameStyle = frameShapeNext;\n    }\n    else {\n        Object.assign(shape, frameShapeNext);\n    }\n    return shape;\n};\nvar ImageStorePropDescriptors = [\n    // media info received from read\n    ['file'],\n    ['size'],\n    // loading and processing state\n    ['loadState'],\n    ['processState'],\n    // derived info\n    [\n        'aspectRatio',\n        DERIVED_STORE(({ size }) => [\n            size,\n            ($size) => ($size ? rectAspectRatio($size) : undefined),\n        ]),\n    ],\n    // image modifications\n    ['perspectiveX', DEFAULT_VALUE(() => 0)],\n    ['perspectiveY', DEFAULT_VALUE(() => 0)],\n    [\n        'perspective',\n        DERIVED_STORE(({ perspectiveX, perspectiveY }) => [\n            [perspectiveX, perspectiveY],\n            ([x, y]) => ({ x, y }),\n        ]),\n    ],\n    ['rotation', DEFAULT_VALUE(() => 0), UPDATE_VALUE(updateRotation)],\n    ['flipX', DEFAULT_VALUE(() => false)],\n    ['flipY', DEFAULT_VALUE(() => false)],\n    ['flip', DERIVED_STORE(({ flipX, flipY }) => [[flipX, flipY], ([x, y]) => ({ x, y })])],\n    [\n        'isRotatedSideways',\n        UNIQUE_DERIVED_STORE(({ rotation }) => [\n            [rotation],\n            ([$rotation], set) => set(isRotatedSideways($rotation)),\n            (prevValue, nextValue) => prevValue !== nextValue,\n        ]),\n    ],\n    ['crop', UPDATE_VALUE(updateCropRect)],\n    ['cropAspectRatio', UPDATE_VALUE(updateCropAspectRatio)],\n    ['cropOrigin'],\n    ['cropMinSize', DEFAULT_VALUE(() => ({ width: 1, height: 1 }))],\n    ['cropMaxSize', DEFAULT_VALUE(() => ({ width: 32768, height: 32768 }))],\n    ['cropLimitToImage', DEFAULT_VALUE(() => true), UPDATE_VALUE(updateCropLimitToImage)],\n    [\n        'cropSize',\n        UNIQUE_DERIVED_STORE(({ crop }) => [\n            [crop],\n            ([$crop], set) => {\n                if (!$crop)\n                    return;\n                set(sizeCreate($crop.width, $crop.height));\n            },\n            // if is same as previous size, don't trigger update (happens when updating only the crop offset)\n            (prevValue, nextValue) => sizeEqual(prevValue, nextValue),\n        ]),\n    ],\n    [\n        'cropRectAspectRatio',\n        DERIVED_STORE(({ cropSize }) => [\n            [cropSize],\n            ([$cropSize], set) => {\n                if (!$cropSize)\n                    return;\n                set(fixPrecision(rectAspectRatio($cropSize), 5));\n            },\n        ]),\n    ],\n    [\n        'cropRange',\n        UNIQUE_DERIVED_STORE(({ size, rotation, cropRectAspectRatio, cropMinSize, cropMaxSize, cropLimitToImage, }) => [\n            [size, rotation, cropRectAspectRatio, cropMinSize, cropMaxSize, cropLimitToImage],\n            ([$size, $rotation, $cropRectAspectRatio, $cropMinSize, $cropMaxSize, $cropLimitToImage,], set) => {\n                // wait for image size\n                if (!$size)\n                    return;\n                const range = updateCropRange($size, $rotation, $cropRectAspectRatio, $cropMinSize, $cropMaxSize, $cropLimitToImage);\n                set(range);\n            },\n            // if is same range as previous range, don't trigger update\n            (prevRange, nextRange) => arrayEqual(prevRange, nextRange),\n        ]),\n    ],\n    [\n        'rotationRange',\n        UNIQUE_DERIVED_STORE(({ size, isRotatedSideways, cropMinSize, cropSize, cropLimitToImage }) => [\n            [size, isRotatedSideways, cropMinSize, cropSize, cropLimitToImage],\n            ([$size, $isRotatedSideways, $cropMinSize, $cropSize, $cropLimitToImage], set) => {\n                // wait for image size\n                if (!$size || !$cropSize)\n                    return;\n                const range = updateRotationRange($size, $isRotatedSideways, $cropMinSize, $cropSize, $cropLimitToImage);\n                set(range);\n            },\n            // if is same range as previous range, don't trigger update\n            (prevRange, nextRange) => arrayEqual(prevRange, nextRange),\n        ]),\n    ],\n    // canvas\n    ['backgroundColor', UPDATE_VALUE(() => (color) => padColorArray(color))],\n    ['backgroundImage'],\n    // size\n    ['targetSize'],\n    // effects\n    ['colorMatrix'],\n    ['convolutionMatrix'],\n    ['gamma'],\n    ['noise'],\n    ['vignette'],\n    // video\n    ['duration'],\n    ['trim'],\n    ['volume'],\n    // redaction lives in image space\n    ['redaction', MAP_STORE(({ size }) => [formatShape, { context: size }])],\n    // annotation lives in image space\n    ['annotation', MAP_STORE(({ size }) => [formatShape, { context: size }])],\n    // decoration lives in crop space\n    ['decoration', MAP_STORE(({ crop }) => [formatShape, { context: crop }])],\n    // frame to render on top of the image (or outside)\n    ['frame', UPDATE_VALUE(updateFrame)],\n    // custom metadata\n    ['metadata'],\n    // state of image, used to restore a previous state or request the current state\n    ['state', CUSTOM_STORE(stateStore)],\n];\n\nvar process = async (value, chainTasks, chainOptions = {}, processOptions) => {\n    // options relevant to the process method itself\n    const { ontaskstart, ontaskprogress, ontaskend, token } = processOptions;\n    // has been cancelled\n    let cancelled = false;\n    // create token to pass to tasks\n    const taskCancelToken = {\n        cancel: noop$1,\n    };\n    // set cancel handler method\n    token.cancel = () => {\n        // cancel called from outside of the process method\n        cancelled = true;\n        // assign cancel method to task\n        taskCancelToken.cancel();\n    };\n    // step through chain\n    for (const [index, task] of chainTasks.entries()) {\n        // exit when cancelled\n        if (cancelled)\n            return;\n        // get the task function and the id so we can notify the callee of the task that is being started\n        const [fn, id] = task;\n        // start task\n        ontaskstart(index, id);\n        try {\n            value = await fn(value, { ...chainOptions, taskCancelToken }, (event) => ontaskprogress(index, id, event));\n        }\n        catch (err) {\n            // stop processing more items in the chain\n            cancelled = true;\n            // pass error back to parent\n            throw err;\n        }\n        ontaskend(index, id);\n    }\n    return value;\n};\n\n// TODO: find better location for minSize / file load validation\nvar createImageCore = ({ minSize = { width: 1, height: 1 } } = {}) => {\n    // create default store\n    const { stores, accessors } = createStores(ImageStorePropDescriptors);\n    // pub/sub\n    const { pub, sub } = pubsub();\n    // processing handler\n    const createProcessingHandler = (stateProp, eventKey) => {\n        const getStore = () => accessors[stateProp] || {};\n        const setStore = (obj) => {\n            accessors[stateProp] = {\n                ...getStore(),\n                ...obj,\n                timeStamp: Date.now(),\n            };\n        };\n        const hasError = () => getStore().error;\n        const handleError = (error) => {\n            if (hasError())\n                return;\n            setStore({\n                error: error,\n            });\n            pub(`${eventKey}error`, { ...getStore() });\n        };\n        return {\n            start() {\n                pub(`${eventKey}start`);\n            },\n            onabort() {\n                setStore({\n                    abort: true,\n                });\n                pub(`${eventKey}abort`, { ...getStore() });\n            },\n            ontaskstart(index, id) {\n                if (hasError())\n                    return;\n                setStore({\n                    index,\n                    task: id,\n                    taskProgress: undefined,\n                    taskLengthComputable: undefined,\n                });\n                pub(`${eventKey}taskstart`, { ...getStore() });\n            },\n            ontaskprogress(index, id, event) {\n                if (hasError())\n                    return;\n                setStore({\n                    index,\n                    task: id,\n                    taskProgress: event.loaded / event.total,\n                    taskLengthComputable: event.lengthComputable,\n                });\n                pub(`${eventKey}taskprogress`, { ...getStore() });\n                pub(`${eventKey}progress`, { ...getStore() });\n            },\n            ontaskend(index, id) {\n                if (hasError())\n                    return;\n                setStore({\n                    index,\n                    task: id,\n                });\n                pub(`${eventKey}taskend`, { ...getStore() });\n            },\n            ontaskerror(error) {\n                handleError(error);\n            },\n            error(error) {\n                handleError(error);\n            },\n            beforeComplete(data) {\n                if (hasError())\n                    return;\n                setStore({ beforeComplete: true });\n                pub(`before${eventKey}`, data);\n            },\n            complete(data) {\n                if (hasError())\n                    return;\n                setStore({ complete: true });\n                pub(eventKey, data);\n            },\n        };\n    };\n    //#region read image\n    const read = (src, { reader }, readerOptions = {}) => {\n        // exit if no reader supplied\n        if (!reader)\n            return;\n        // reset file data to undefined as we're loading a new image\n        Object.assign(accessors, {\n            file: undefined,\n            size: undefined,\n            loadState: undefined,\n        });\n        // our cancel token so we can abort load if needed, cancel will be set by process\n        let imageReadToken = { cancel: noop$1 };\n        let imageReadCancelled = false;\n        const imageReadHandler = createProcessingHandler('loadState', 'load');\n        const processOptions = {\n            token: imageReadToken,\n            ...imageReadHandler,\n        };\n        const readerState = {\n            src,\n            size: undefined,\n            dest: undefined,\n            duration: undefined,\n        };\n        // wait a tick before starting image read so the read can be cancelled in loadstart\n        Promise.resolve().then(async () => {\n            try {\n                imageReadHandler.start();\n                if (imageReadCancelled)\n                    return imageReadHandler.onabort();\n                const output = (await process(readerState, reader, readerOptions, processOptions));\n                // was cancelled\n                if (imageReadCancelled)\n                    return imageReadHandler.onabort();\n                // get shortcuts for validation\n                const { size, duration, dest } = output || {};\n                // if we don't have a size\n                if (!size || !size.width || !size.height)\n                    throw new EditorError('Image size missing', 'IMAGE_SIZE_MISSING', output);\n                // size of image is too small\n                if (size.width < minSize.width || size.height < minSize.height)\n                    throw new EditorError('Image too small', 'IMAGE_TOO_SMALL', {\n                        ...output,\n                        minWidth: minSize.width,\n                        minHeight: minSize.height,\n                    });\n                // update internal data\n                Object.assign(accessors, {\n                    file: dest,\n                    size,\n                    duration,\n                });\n                // before load complete\n                imageReadHandler.beforeComplete(output);\n                // done loading image\n                imageReadHandler.complete(output);\n            }\n            catch (err) {\n                imageReadHandler.error(err);\n            }\n            finally {\n                imageReadToken = undefined;\n            }\n        });\n        // call to abort load\n        return () => {\n            imageReadCancelled = true;\n            imageReadToken && imageReadToken.cancel();\n            imageReadHandler.onabort();\n        };\n    };\n    //#endregion\n    //#region write image\n    const write = (writer, options) => {\n        // not ready to start processing\n        if (!accessors.loadState.complete)\n            return;\n        // reset process state to undefined\n        accessors.processState = undefined;\n        const imageWriteHandler = createProcessingHandler('processState', 'process');\n        const writerState = {\n            src: accessors.file,\n            imageState: accessors.state,\n            dest: undefined,\n        };\n        // writer is function, let's get the actual writer\n        if (isFunction(writer)) {\n            writer = writer(accessors.file, accessors.state);\n        }\n        // willProcessImageState\n        if (!writer) {\n            imageWriteHandler.start();\n            imageWriteHandler.complete(writerState);\n            return;\n        }\n        // we need this token to be a blet to cancel the processing operation\n        let imageWriteToken = { cancel: noop$1 };\n        let imageWriteCancelled = false;\n        const writerOptions = options;\n        const processOptions = {\n            token: imageWriteToken,\n            ...imageWriteHandler,\n        };\n        // wait a tick before starting image write so the write can be cancelled in processtart\n        Promise.resolve().then(async () => {\n            try {\n                imageWriteHandler.start();\n                // could be cancelled before processing started\n                if (imageWriteCancelled)\n                    return imageWriteHandler.onabort();\n                const output = (await process(writerState, writer, writerOptions, processOptions));\n                // cancelled during processing\n                if (imageWriteCancelled)\n                    return imageWriteHandler.onabort();\n                imageWriteHandler.complete(output);\n            }\n            catch (err) {\n                imageWriteHandler.error(err);\n            }\n            finally {\n                imageWriteToken = undefined;\n            }\n        });\n        // call to abort processing\n        return () => {\n            imageWriteCancelled = true;\n            imageWriteToken && imageWriteToken.cancel();\n        };\n    };\n    //#endregion\n    //#region api\n    defineMethods(accessors, {\n        read,\n        write,\n        on: sub,\n    });\n    //#endregion\n    // expose store API\n    return {\n        accessors,\n        stores,\n    };\n};\n\n// @ts-ignore\nconst editorEventsToBubble = [\n    'loadstart',\n    'loadabort',\n    'loaderror',\n    'loadprogress',\n    'load',\n    'processstart',\n    'processabort',\n    'processerror',\n    'processprogress',\n    'process',\n];\nconst imagePrivateProps = [\n    'flip',\n    'cropOrigin',\n    'isRotatedSideways',\n    'perspective',\n    'perspectiveX',\n    'perspectiveY',\n    'cropRange',\n];\nconst editorPrivateProps = ['images'];\nconst imagePublicProps = ImageStorePropDescriptors\n    .map(([prop]) => prop)\n    .filter((prop) => !imagePrivateProps.includes(prop));\nconst getImagePropGroupedName = (prop) => `image${capitalizeFirstLetter(prop)}`;\nconst getEditorProps$1 = () => {\n    const imageProperties = imagePublicProps.map(getImagePropGroupedName);\n    const editorProperties = props\n        .map(([prop]) => prop)\n        .filter((prop) => !editorPrivateProps.includes(prop));\n    return imageProperties.concat(editorProperties);\n};\nconst isImageSource = (src) => isString(src) || isBinary(src) || isElement(src);\nconst isImageState = (obj) => hasProp(obj, 'crop');\nvar createImageEditor = () => {\n    // create default stores\n    const { stores, accessors } = createStores(props);\n    // set up pub/sub for the app layer\n    const { sub, pub } = pubsub();\n    const bubble = (name) => (value) => pub(name, value);\n    // helper method\n    const getImageObjSafe = () => (accessors.images ? accessors.images[0] : {});\n    // initialImageProps is the list of transforms to apply when the image loads\n    let initialImageProps = {};\n    const initialImagePropsBackup = {};\n    // create shortcuts to image props : `crop` -> `imageCrop`\n    imagePublicProps.forEach((prop) => {\n        Object.defineProperty(accessors, getImagePropGroupedName(prop), {\n            get: () => {\n                // no image, can't get\n                const image = getImageObjSafe();\n                if (!image)\n                    return;\n                // return from image state\n                return image.accessors[prop];\n            },\n            set: (value) => {\n                // always use as initial prop when loading a new image without reset\n                initialImageProps[getImagePropGroupedName(prop)] = value;\n                // set to props backup so we can read it later when loading a new image\n                initialImagePropsBackup[getImagePropGroupedName(prop)] = value;\n                // no image, we can't update\n                const image = getImageObjSafe();\n                if (!image)\n                    return;\n                // update the image immidiately\n                image.accessors[prop] = value;\n            },\n        });\n    });\n    // internal helper method to get active image\n    const getImage = () => accessors.images && accessors.images[0];\n    // handling loading an image if a src is set\n    const unsubSrc = stores.src.subscribe((src) => {\n        // no image set, means clear active image\n        if (!src)\n            return (accessors.images = []);\n        // exit here if we don't have an imageReader we'll wait for an imageReader to be defined\n        if (!accessors.imageReader)\n            return;\n        // reset initial image props if an image is already loaded, so props applied to previous image aren't applied to the new one\n        if (accessors.images.length)\n            initialImageProps = {};\n        // load image in src prop\n        loadSrc(src);\n    });\n    const unsubReader = stores.imageReader.subscribe((reader) => {\n        // can't do anything without an image reader\n        if (!reader)\n            return;\n        // an image has already been loaded no need to load images that were set earlier\n        if (accessors.images.length)\n            return;\n        // no image to load, we'll wait for images to be set to the `src` prop\n        if (!accessors.src)\n            return;\n        // src is waiting to be loaded so let's pick it up,\n        loadSrc(accessors.src);\n    });\n    const loadSrc = (src) => {\n        // push it back a tick so we know initialImageProps are set\n        Promise.resolve()\n            .then(() => {\n            // load with initial props\n            return loadImage(src, initialImageProps);\n        })\n            .catch(() => {\n            // fail silently, any errors are handled with 'loaderror' event\n        });\n    };\n    //#endregion\n    //#region public method (note that these are also called from UI, name of method is name of dispatched event in UI)\n    const applyImageOptionsOrState = (image, options) => {\n        // test if options is image state, if so, apply and exit\n        if (isImageState(options)) {\n            accessors.imageState = options;\n            return;\n        }\n        // create an initial crop rect if no crop supplied\n        if (!options.imageCrop) {\n            const imageSize = image.accessors.size;\n            const imageRotation = options.imageRotation || 0;\n            const imageRotatedSize = sizeRotate(sizeClone(imageSize), imageRotation);\n            const cropRect = rectCreateFromSize(imageRotatedSize);\n            // prevent negative width/height\n            cropRect.width = fixPrecision(Math.abs(cropRect.width), 6);\n            cropRect.height = fixPrecision(Math.abs(cropRect.height), 6);\n            const aspectRatio = options.imageCropAspectRatio ||\n                (options.imageCropLimitToImage\n                    ? rectAspectRatio(imageSize) // use image size if should limit to image\n                    : rectAspectRatio(cropRect)); // use rotated crop rect bounds if no limit\n            let crop;\n            if (options.imageCropLimitToImage) {\n                crop = rectContainRect(cropRect, aspectRatio);\n            }\n            else {\n                crop = rectCoverRect(cropRect, aspectRatio);\n                // center the image in the crop rectangle\n                crop.x = (imageSize.width - crop.width) / 2;\n                crop.y = (imageSize.height - crop.height) / 2;\n            }\n            options.imageCrop = crop;\n        }\n        // we need to apply these props in the correct order\n        const propKeys = [\n            'imageCropLimitToImage',\n            'imageCrop',\n            'imageCropAspectRatio',\n            'imageRotation',\n        ];\n        propKeys\n            .filter((prop) => hasProp(options, prop))\n            .forEach((prop) => {\n            // assign to `image`\n            accessors[prop] = options[prop];\n            // remove from normalizedOptions so it's not set twice\n            delete options[prop];\n        });\n        // don't set the above options for a second time\n        const filteredOptions = Object.keys(options)\n            .filter((key) => !propKeys.includes(key))\n            .reduce((filtered, prop) => {\n            filtered[prop] = options[prop];\n            return filtered;\n        }, {});\n        // trigger setState\n        Object.assign(accessors, filteredOptions);\n    };\n    // load image, resolve when image is loaded\n    let imageLoadAbort;\n    const loadImage = (src, options = {}) => new Promise((resolve, reject) => {\n        // get current image\n        let image = getImage();\n        // determine min defined image size (is crop min size)\n        const cropLimitedToImage = !(options.cropLimitToImage === false ||\n            options.imageCropLimitToImage === false ||\n            initialImagePropsBackup.imageCropLmitedToImage === false);\n        const cropMinSize = options.cropMinSize ||\n            options.imageCropMinSize ||\n            initialImagePropsBackup.imageCropMinSize;\n        const minImageSize = cropLimitedToImage\n            ? cropMinSize\n            : image && image.accessors.cropMinSize;\n        // if already has image, remove existing image\n        if (image)\n            removeImage();\n        // access image props and stores\n        image = createImageCore({ minSize: minImageSize });\n        editorEventsToBubble.map((event) => image.accessors.on(event, bubble(event)));\n        // done, clean up listeners\n        const fin = () => {\n            // reset initial props (as now applied)\n            initialImageProps = {};\n            unsubs.forEach((unsub) => unsub());\n        };\n        const unsubs = [];\n        unsubs.push(image.accessors.on('loaderror', (error) => {\n            fin();\n            reject(error);\n        }));\n        unsubs.push(image.accessors.on('loadabort', () => {\n            fin();\n            reject({ name: 'AbortError' });\n        }));\n        unsubs.push(image.accessors.on('load', (output) => {\n            imageLoadAbort = undefined;\n            fin();\n            resolve(output);\n        }));\n        unsubs.push(image.accessors.on('beforeload', () => applyImageOptionsOrState(image, options)));\n        // set new image\n        accessors.images = [image];\n        // assign passed options to editor accessors, we ignore 'src'\n        if (options.imageReader)\n            accessors.imageReader = options.imageReader;\n        if (options.imageWriter)\n            accessors.imageWriter = options.imageWriter;\n        // start reading image\n        imageLoadAbort = image.accessors.read(src, {\n            reader: accessors.imageReader,\n        }, {\n            willRequest: accessors.willRequest,\n        });\n    });\n    // start processing a loaded image, resolve when image is processed\n    let imageProcessAbort;\n    const processImage = (src, options) => new Promise((resolve, reject) => {\n        try {\n            const unsubs = [];\n            // done, clean up listeners\n            const fin = () => {\n                imageProcessAbort = undefined;\n                unsubs.forEach((unsub) => unsub());\n            };\n            (async () => {\n                // if src supplied, first load src, then process\n                if (isImageSource(src)) {\n                    try {\n                        await loadImage(src, options);\n                    }\n                    catch (err) {\n                        reject(err);\n                    }\n                }\n                // if first argument is not `src` but is set it's an options object, so we'll update the options before generating the image\n                else if (src) {\n                    if (isImageState(src)) {\n                        accessors.imageState = src;\n                    }\n                    else {\n                        Object.assign(accessors, src);\n                    }\n                }\n                // get current active image\n                const image = getImage();\n                // needs image for processing\n                if (!image)\n                    return reject('no image');\n                unsubs.push(image.accessors.on('processerror', (error) => {\n                    fin();\n                    reject(error);\n                }));\n                unsubs.push(image.accessors.on('processabort', () => {\n                    fin();\n                    reject({ name: 'AbortError' });\n                }));\n                unsubs.push(image.accessors.on('process', (output) => {\n                    fin();\n                    resolve(output);\n                }));\n                imageProcessAbort = image.accessors.write(accessors.imageWriter, {\n                    redactionRenderStyle: accessors.imageRedactionRendering,\n                    shapePreprocessor: accessors.shapePreprocessor || passthrough,\n                    imageScrambler: accessors.imageScrambler,\n                    willRequest: accessors.willRequest,\n                    willRequestResource: accessors.willRequestResource, // deprecated\n                });\n            })();\n        }\n        catch (err) {\n            reject(err);\n        }\n    });\n    const abortProcessImage = () => {\n        const image = getImage();\n        if (!image)\n            return;\n        if (imageProcessAbort)\n            imageProcessAbort();\n        image.accessors.processState = undefined;\n    };\n    // used internally (triggered by 'x' button when error loading image in UI)\n    const abortLoadImage = () => {\n        if (imageLoadAbort)\n            imageLoadAbort();\n        accessors.images = [];\n    };\n    // edit image, loads an image and resolve when image is processed\n    const editImage = (src, options) => new Promise((resolve, reject) => {\n        loadImage(src, options)\n            .then(() => {\n            // access image props and stores\n            const { images } = accessors;\n            const image = images[0];\n            // done, clean up listeners\n            const done = () => {\n                unsubReject();\n                unsubResolve();\n            };\n            const unsubReject = image.accessors.on('processerror', (error) => {\n                done();\n                reject(error);\n            });\n            const unsubResolve = image.accessors.on('process', (output) => {\n                done();\n                resolve(output);\n            });\n        })\n            .catch(reject);\n    });\n    const removeImage = () => {\n        // no images, nothing to remove\n        const image = getImage();\n        if (!image)\n            return;\n        // try to abort image load\n        if (imageLoadAbort)\n            imageLoadAbort();\n        image.accessors.loadState = undefined;\n        // clear images\n        accessors.images = [];\n    };\n    //#endregion\n    Object.defineProperty(accessors, 'stores', {\n        get: () => stores,\n    });\n    //#region API\n    defineMethods(accessors, {\n        on: sub,\n        loadImage,\n        abortLoadImage,\n        editImage,\n        removeImage,\n        processImage,\n        abortProcessImage,\n        destroy: () => {\n            unsubSrc && unsubSrc();\n            unsubReader && unsubReader();\n        },\n    });\n    return accessors;\n    //#endregion\n};\n\nconst processImage = (src, options) => {\n    const { processImage } = createImageEditor();\n    return processImage(src, options);\n};\n\nvar getCanvasMemoryLimit = () => {\n    if (!isSafari())\n        return Infinity;\n    const isSafari15 = /15_/.test(navigator.userAgent);\n    if (isIOS()) {\n        // limit resolution a little bit further to prevent drawing issues\n        if (isSafari15)\n            return 3840 * 3840;\n        // old iOS can deal with 4096 * 4096 without issues\n        return 4096 * 4096;\n    }\n    return isSafari15 ? 4096 * 4096 : Infinity;\n};\n\nvar filterObjectProperties = (obj, props) => Object.keys(obj)\n    .filter((key) => !props.includes(key))\n    .reduce((prev, curr) => {\n    prev[curr] = obj[curr];\n    return prev;\n}, {});\n\nvar videoFixDuration = (video) => new Promise((resolve) => {\n    // https://bugs.chromium.org/p/chromium/issues/detail?id=656426\n    // https://bugs.chromium.org/p/chromium/issues/detail?id=642012\n    if (video.duration === Infinity) {\n        video.ontimeupdate = () => {\n            video.ontimeupdate = undefined;\n            resolve(video);\n        };\n        video.currentTime = Number.MAX_SAFE_INTEGER;\n        return;\n    }\n    resolve(video);\n});\n\nvar getVideoElementDuration = (element) => new Promise((resolve, reject) => {\n    const done = () => {\n        videoFixDuration(element).then(() => {\n            resolve(element.duration);\n        });\n    };\n    if (element.readyState >= 1)\n        return done();\n    element.onloadedmetadata = done;\n    element.onerror = () => reject(element.error);\n});\n\nvar arrayFlatten = (arr) => arr.reduce((flat, item) => {\n    const arr = Array.isArray(item) ? [...item] : [item];\n    return [...flat, ...arr];\n}, []);\n\n// custom method to draw images\nconst createCanvasImageDrawer = ({ imageDataResizer, canvasMemoryLimit } = {}) => async (ctx, image, srcRect, destRect) => {\n    // min size of src is 1x1\n    srcRect.width = Math.max(srcRect.width, 1);\n    srcRect.height = Math.max(srcRect.height, 1);\n    // min size of dest is 1x1\n    destRect.width = Math.max(destRect.width, 1);\n    destRect.height = Math.max(destRect.height, 1);\n    // get resized image\n    const { dest } = await processImage(image, {\n        imageReader: createDefaultImageReader$1(),\n        imageWriter: createDefaultImageWriter$1({\n            format: 'canvas',\n            targetSize: {\n                ...destRect,\n                upscale: true,\n            },\n            imageDataResizer,\n            canvasMemoryLimit,\n        }),\n        imageCrop: srcRect,\n    });\n    // draw processed image\n    ctx.drawImage(dest, destRect.x, destRect.y, destRect.width, destRect.height);\n    // release image canvas to free up memory\n    releaseCanvas(dest);\n};\n// connect function in process chain\nconst connect = (fn, getter = (...args) => args, setter) => async (state, options, onprogress) => {\n    // will hold function result\n    // at this point we don't know if the length of this task can be computed\n    onprogress(createProgressEvent(0, false));\n    // try to run the function\n    let progressUpdated = false;\n    const res = await fn(...getter(state, options, (event) => {\n        progressUpdated = true;\n        onprogress(event);\n    }));\n    // a setter isn't required\n    setter && setter(state, res);\n    // if progress was updated, we expect the connected function to fire the 1/1 event, else we fire it here\n    if (!progressUpdated)\n        onprogress(createProgressEvent(1, false));\n    return state;\n};\n//\n// Reader/Writer Presets\n//\nconst AnyToFile = ({ willRequest = undefined, srcProp = 'src', destProp = 'dest' } = {}) => [\n    connect(srcToFile, (state, options, onprogress) => [\n        state[srcProp],\n        onprogress,\n        { ...options, willRequest },\n    ], (state, file) => (state[destProp] = file)),\n    'any-to-file',\n];\nconst BlobGuardMimeType = ({ srcProp = 'dest', destProp = 'dest' } = {}) => [\n    connect(async (src) => {\n        // attempt to fix octet stream\n        if (/octet-stream/.test(src.type)) {\n            console.warn(`Pintura: File has unknown mime type \"${src.type}\", make sure your server sets the correct Content-Type header.`);\n            // assume is image\n            let mediaType = 'image';\n            // test if is possibly video\n            const el = await getAsVideoOrImageElement(src);\n            if (/video/i.test(el.nodeName))\n                mediaType = 'video';\n            // set unknown media type\n            const propertyBag = { type: mediaType + '/unknown' };\n            return isFile(src)\n                ? new File([src], src.name, {\n                    ...propertyBag,\n                    lastModified: src.lastModified,\n                })\n                : new Blob([src], propertyBag);\n        }\n        // return original file\n        return src;\n    }, (state) => [state[srcProp]], (state, file) => (state[destProp] = file)),\n    'any-to-file',\n];\nconst BlobReadImageSize = ({ srcProp = 'src', destProp = 'size' } = {}) => [\n    connect(getImageSize, (state) => [state[srcProp]], (state, size) => (state[destProp] = size)),\n    'read-image-size',\n];\nconst getMediaDuration = async (src) => {\n    const mediaElement = await getAsVideoOrImageElement(src);\n    if (isVideoElement(mediaElement))\n        return await getVideoElementDuration(mediaElement);\n    return undefined;\n};\nconst BlobReadMediaDuration = ({ srcProp = 'src', destProp = 'duration' } = {}) => [\n    connect(getMediaDuration, (state) => [state[srcProp]], (state, duration) => (state[destProp] = duration)),\n    'read-media-duration',\n];\nconst ImageSizeMatchOrientation = ({ srcSize = 'size', srcOrientation = 'orientation', destSize = 'size', } = {}) => [\n    connect(orientImageSize, (state) => [state[srcSize], state[srcOrientation]], (state, size) => (state[destSize] = size)),\n    'image-size-match-orientation',\n];\nconst BlobReadImageHead = ({ srcProp = 'src', destProp = 'head' } = {}) => [\n    connect((blob, slice) => (isJPEG(blob) ? blobReadSection(blob, slice) : undefined), \n    // 64 * 4096 should be plenty to find extract header\n    // Exif metadata are restricted in size to 64 kB in JPEG images because\n    // according to the specification this information must be contained within a single JPEG APP1 segment.\n    (state) => [state[srcProp], [0, 64 * 4096], onprogress], (state, head) => (state[destProp] = head)),\n    'read-image-head',\n];\nconst ImageHeadReadExifOrientationTag = ({ srcProp = 'head', destProp = 'orientation', } = {}) => [\n    connect(arrayBufferImageExif, (state) => [state[srcProp], ORIENTATION_TAG], (state, orientation = 1) => (state[destProp] = orientation)),\n    'read-exif-orientation-tag',\n];\nconst ImageHeadClearExifOrientationTag = ({ srcProp = 'head' } = {}) => [\n    connect(arrayBufferImageExif, (state) => [state[srcProp], ORIENTATION_TAG, 1]),\n    'clear-exif-orientation-tag',\n];\nconst CalculateCanvasScalar = ({ srcImageSize = 'size', srcCanvasSize = 'imageData', srcImageState = 'imageState', destImageSize = 'size', destScalar = 'scalar', } = {}) => [\n    connect((naturalSize, canvasSize) => {\n        return [\n            Math.min(canvasSize.width / naturalSize.width, canvasSize.height / naturalSize.height),\n            sizeCreateFromAny(canvasSize),\n        ];\n    }, (state) => [state[srcImageSize], state[srcCanvasSize], state[srcImageState]], (state, [scalar, imageSize]) => {\n        state[destScalar] = scalar;\n        state[destImageSize] = imageSize;\n    }),\n    'calculate-canvas-scalar',\n];\nconst BlobToImageData = ({ srcProp = 'src', destProp = 'imageData', canvasMemoryLimit = undefined, } = {}) => [\n    connect(blobToImageData, (state) => [state[srcProp], canvasMemoryLimit], (state, imageData) => (state[destProp] = imageData)),\n    'blob-to-image-data',\n];\nconst ImageDataMatchOrientation = ({ srcImageData = 'imageData', srcOrientation = 'orientation', } = {}) => [\n    connect(orientImageData, (state) => [state[srcImageData], state[srcOrientation]], (state, imageData) => (state.imageData = imageData)),\n    'image-data-match-orientation',\n];\nconst ImageDataFill = ({ srcImageData = 'imageData', srcImageState = 'imageState' } = {}) => [\n    connect(fillImageData, (state) => [\n        state[srcImageData],\n        {\n            backgroundColor: state[srcImageState].backgroundColor,\n            backgroundImage: state[srcImageState].backgroundImage,\n        },\n    ], (state, imageData) => (state.imageData = imageData)),\n    'image-data-fill',\n];\nconst ImageDataCrop = ({ srcImageData = 'imageData', srcImageState = 'imageState', destScalar = 'scalar', } = {}) => [\n    connect(cropImageData, (state) => {\n        // scale crop if needed\n        const scalar = state[destScalar];\n        let { crop } = state[srcImageState];\n        if (crop && scalar !== 1) {\n            crop = rectScale$1(rectClone$1(crop), scalar, vectorCreateEmpty());\n        }\n        // apply crop\n        return [\n            state[srcImageData],\n            {\n                crop,\n                rotation: state[srcImageState].rotation,\n                flipX: state[srcImageState].flipX,\n                flipY: state[srcImageState].flipY,\n            },\n        ];\n    }, (state, imageData) => (state.imageData = imageData)),\n    'image-data-crop',\n];\nconst hasTargetSize = (imageState) => !!((imageState.targetSize && imageState.targetSize.width) ||\n    (imageState.targetSize && imageState.targetSize.height));\nconst ImageDataResize = ({ targetSize = {\n    width: undefined,\n    height: undefined,\n    fit: undefined,\n    upscale: undefined,\n}, imageDataResizer = undefined, srcProp = 'imageData', srcImageState = 'imageState', destImageScaledSize = 'imageScaledSize', }) => [\n    connect(resizeImageData, (state) => {\n        const width = Math.min(targetSize.width || Number.MAX_SAFE_INTEGER, (state[srcImageState].targetSize && state[srcImageState].targetSize.width) ||\n            Number.MAX_SAFE_INTEGER);\n        const height = Math.min(targetSize.height || Number.MAX_SAFE_INTEGER, (state[srcImageState].targetSize && state[srcImageState].targetSize.height) ||\n            Number.MAX_SAFE_INTEGER);\n        return [\n            state[srcProp],\n            {\n                width,\n                height,\n                fit: targetSize.fit || 'contain',\n                upscale: hasTargetSize(state[srcImageState])\n                    ? true\n                    : targetSize.upscale || false,\n            },\n            imageDataResizer,\n        ];\n    }, (state, imageData) => {\n        if (!sizeEqual(state.imageData, imageData))\n            state[destImageScaledSize] = sizeCreateFromAny(imageData);\n        state.imageData = imageData;\n    }),\n    'image-data-resize',\n];\nconst ImageDataFilter = ({ srcImageData = 'imageData', srcImageState = 'imageState', destImageData = 'imageData', } = {}) => [\n    connect(filterImageData, (state) => {\n        const { colorMatrix } = state[srcImageState];\n        const colorMatrices = colorMatrix &&\n            Object.keys(colorMatrix)\n                .map((name) => colorMatrix[name])\n                .filter(Boolean);\n        return [\n            state[srcImageData],\n            {\n                colorMatrix: colorMatrices && getColorMatrixFromColorMatrices(colorMatrices),\n                convolutionMatrix: state[srcImageState].convolutionMatrix,\n                gamma: state[srcImageState].gamma,\n                noise: state[srcImageState].noise,\n                vignette: state[srcImageState].vignette,\n            },\n        ];\n    }, (state, imageData) => (state[destImageData] = imageData)),\n    'image-data-filter',\n];\nconst ImageDataRedact = ({ srcImageData = 'imageData', srcImageState = 'imageState', destImageData = 'imageData', destScalar = 'scalar', } = {}) => [\n    connect(async (imageData, imageScrambler, imageBackgroundColor, shapes, scalar, redactionRenderStyle) => {\n        // skip!\n        if (!imageScrambler)\n            return imageData;\n        // create scrambled texture version\n        let scrambledCanvas;\n        try {\n            const options = {\n                dataSizeScalar: getImageRedactionScaleFactor(imageData, shapes),\n            };\n            if (imageBackgroundColor && imageBackgroundColor[3] > 0) {\n                options.backgroundColor = [...imageBackgroundColor];\n            }\n            scrambledCanvas = await imageScrambler(imageData, options);\n        }\n        catch (err) {\n            // log to console for debugging purposes\n        }\n        // create drawing context\n        const canvas = h('canvas');\n        canvas.width = imageData.width;\n        canvas.height = imageData.height;\n        const ctx = canvas.getContext('2d', { willReadFrequently: true });\n        ctx.putImageData(imageData, 0, 0);\n        // blur\n        if (redactionRenderStyle === 'auto') {\n            const size = Math.sqrt(imageData.width * imageData.height);\n            ctx.filter = `blur(${Math.round(size / 100)}px)`;\n        }\n        // set up a clip path so we only draw scrambled image within path\n        const path = new Path2D();\n        shapes.forEach((shape) => {\n            const rect = rectCreate(shape.x, shape.y, shape.width, shape.height);\n            rectMultiply(rect, scalar);\n            const corners = rectRotate(rectClone$1(rect), shape.rotation);\n            const poly = new Path2D();\n            corners.forEach((corner, i) => {\n                if (i === 0)\n                    return poly.moveTo(corner.x, corner.y);\n                poly.lineTo(corner.x, corner.y);\n            });\n            path.addPath(poly);\n        });\n        ctx.clip(path, 'nonzero');\n        ctx.imageSmoothingEnabled = false;\n        ctx.drawImage(scrambledCanvas, 0, 0, canvas.width, canvas.height);\n        releaseCanvas(scrambledCanvas);\n        // done\n        const imageDataOut = ctx.getImageData(0, 0, canvas.width, canvas.height);\n        // clean up memory usage\n        releaseCanvas(canvas);\n        return imageDataOut;\n    }, (state, { imageScrambler, redactionRenderStyle }) => [\n        state[srcImageData],\n        imageScrambler,\n        state[srcImageState].backgroundColor,\n        state[srcImageState].redaction,\n        state[destScalar],\n        redactionRenderStyle,\n    ], (state, imageData) => (state[destImageData] = imageData)),\n    'image-data-redact',\n];\nconst ImageDataAnnotate = ({ srcImageData = 'imageData', srcSize = 'size', srcImageState = 'imageState', destImageData = 'imageData', destImageScaledSize = 'imageScaledSize', destScalar = 'scalar', imageDataResizer = undefined, canvasMemoryLimit = undefined, } = {}) => [\n    connect(drawImageData, (state, { shapePreprocessor, willRequestResource, willRequest }) => {\n        // scale annotations if needed\n        const { annotation } = state[srcImageState];\n        // skip if no annotations\n        if (!annotation.length)\n            return [state[srcImageData]];\n        const canvasScalar = state[destScalar];\n        const { crop } = state[srcImageState];\n        const imageSize = state[srcSize];\n        // image is scaled\n        let imageSizeScalar = canvasScalar;\n        const imageTargetSize = state[destImageScaledSize];\n        if (imageTargetSize) {\n            // calculate annotation scalar\n            imageSizeScalar = Math.min(imageTargetSize.width / crop.width, imageTargetSize.height / crop.height);\n        }\n        const imageSizeScaled = {\n            width: imageSize.width / canvasScalar,\n            height: imageSize.height / canvasScalar,\n        };\n        // go\n        return [\n            state[srcImageData],\n            {\n                shapes: annotation,\n                computeShape: (shape) => {\n                    shape = shapeComputeDisplay(shape, imageSizeScaled);\n                    shape = filterObjectProperties(shape, ['left', 'right', 'top', 'bottom']);\n                    shape = shapeScale(shape, imageSizeScalar);\n                    return shape;\n                },\n                transform: (ctx) => {\n                    const imageSize = state[srcSize];\n                    const { rotation = 0, flipX, flipY, cropLimitToImage, } = state[srcImageState];\n                    // scale crop\n                    const canvasScalar = state[destScalar];\n                    // scale crop if needed\n                    const { crop = rectCreateFromSize(imageSize) } = state[srcImageState];\n                    // calculate image scalar so we can scale annotations accordingly\n                    const scaledSize = state[destImageScaledSize];\n                    const scalar = scaledSize\n                        ? Math.min(scaledSize.width / crop.width, scaledSize.height / crop.height)\n                        : 1;\n                    const imageScaledSize = {\n                        width: (imageSize.width / canvasScalar) * scalar,\n                        height: (imageSize.height / canvasScalar) * scalar,\n                    };\n                    const rotatedRect = getImageTransformedRect(imageScaledSize, rotation);\n                    const rotatedSize = {\n                        width: rotatedRect.width,\n                        height: rotatedRect.height,\n                    };\n                    // calculate center\n                    const dx = imageScaledSize.width * 0.5 - rotatedSize.width * 0.5;\n                    const dy = imageScaledSize.height * 0.5 - rotatedSize.height * 0.5;\n                    const center = sizeCenter(imageScaledSize);\n                    // offset\n                    ctx.translate(-dx, -dy);\n                    ctx.translate(-crop.x * scalar, -crop.y * scalar);\n                    // rotation\n                    ctx.translate(center.x, center.y);\n                    ctx.rotate(rotation);\n                    ctx.translate(-center.x, -center.y);\n                    // flipping\n                    ctx.scale(flipX ? -1 : 1, flipY ? -1 : 1);\n                    ctx.translate(flipX ? -imageScaledSize.width : 0, flipY ? -imageScaledSize.height : 0);\n                    // annotations are clipped to image\n                    if (cropLimitToImage) {\n                        ctx.rect(0, 0, imageScaledSize.width, imageScaledSize.height);\n                        ctx.clip();\n                    }\n                },\n                drawImage: createCanvasImageDrawer({ imageDataResizer, canvasMemoryLimit }),\n                preprocessShape: (shape) => shapePreprocessor(shape, { isPreview: false, ...state[srcImageState] }),\n                canvasMemoryLimit,\n                willRequest: willRequest || willRequestResource,\n            },\n        ];\n    }, (state, imageData) => (state[destImageData] = imageData)),\n    'image-data-annotate',\n];\nconst ImageDataDecorate = ({ srcImageData = 'imageData', srcImageState = 'imageState', destImageData = 'imageData', destImageScaledSize = 'imageScaledSize', imageDataResizer = undefined, canvasMemoryLimit = undefined, destScalar = 'scalar', } = {}) => [\n    connect(drawImageData, (state, { shapePreprocessor, willRequestResource, willRequest }) => {\n        // scale annotations if needed\n        // is `let` on purpose\n        let { decoration } = state[srcImageState];\n        // skip if no annotations\n        if (!decoration.length)\n            return [state[srcImageData]];\n        // scale decoration and crop if needed\n        let scalar = state[destScalar];\n        const { crop } = state[srcImageState];\n        // image is scaled\n        const imageTargetSize = state[destImageScaledSize];\n        if (imageTargetSize) {\n            const imageSizeScalar = Math.min(imageTargetSize.width / crop.width, imageTargetSize.height / crop.height);\n            scalar = imageSizeScalar;\n        }\n        // go\n        return [\n            state[srcImageData],\n            {\n                shapes: decoration,\n                drawImage: createCanvasImageDrawer({ imageDataResizer, canvasMemoryLimit }),\n                computeShape: (shape) => {\n                    shape = shapeComputeDisplay(shape, crop);\n                    shape = filterObjectProperties(shape, ['left', 'right', 'top', 'bottom']);\n                    shape = shapeScale(shape, scalar);\n                    return shape;\n                },\n                preprocessShape: (shape) => shapePreprocessor(shape, { isPreview: false, ...state[srcImageState] }),\n                canvasMemoryLimit,\n                willRequest: willRequest || willRequestResource,\n            },\n        ];\n    }, (state, imageData) => (state[destImageData] = imageData)),\n    'image-data-decorate',\n];\nconst ImageDataFrame = ({ srcImageData = 'imageData', srcImageState = 'imageState', destImageData = 'imageData', destImageScaledSize = 'imageScaledSize', imageDataResizer = undefined, canvasMemoryLimit = undefined, destScalar = 'scalar', } = {}) => [\n    connect(drawImageData, (state, { shapePreprocessor, willRequestResource, willRequest }) => {\n        const frame = state[srcImageState].frame;\n        if (!frame)\n            return [state[srcImageData]];\n        // scale crop if needed\n        const scalar = state[destScalar];\n        let { crop } = state[srcImageState];\n        if (crop && scalar !== 1) {\n            crop = rectScale$1(rectClone$1(crop), scalar, vectorCreateEmpty());\n        }\n        const context = { ...crop };\n        const bounds = shapesBounds(shapesFromCompositShape(frame, context, shapePreprocessor), context);\n        context.x = Math.abs(bounds.left);\n        context.y = Math.abs(bounds.top);\n        context.width += Math.abs(bounds.left) + Math.abs(bounds.right);\n        context.height += Math.abs(bounds.top) + Math.abs(bounds.bottom);\n        const scaledSize = state[destImageScaledSize];\n        const contaxtScalar = scaledSize\n            ? Math.min(scaledSize.width / crop.width, scaledSize.height / crop.height)\n            : 1;\n        rectMultiply(context, contaxtScalar);\n        // use floor because we can't fill up half pixels\n        context.x = Math.floor(context.x);\n        context.y = Math.floor(context.y);\n        context.width = Math.floor(context.width);\n        context.height = Math.floor(context.height);\n        return [\n            state[srcImageData],\n            {\n                shapes: [frame],\n                contextBounds: context,\n                computeShape: (shape) => shapeComputeDisplay(shape, state[srcImageData]),\n                transform: (ctx) => {\n                    ctx.translate(context.x, context.y);\n                },\n                drawImage: createCanvasImageDrawer({ imageDataResizer, canvasMemoryLimit }),\n                preprocessShape: (shape) => shapePreprocessor(shape, { isPreview: false, ...state[srcImageState] }),\n                canvasMemoryLimit,\n                willRequest: willRequest || willRequestResource,\n            },\n        ];\n    }, (state, imageData) => (state[destImageData] = imageData)),\n    'image-data-frame',\n];\nconst ImageDataToBlob = ({ mimeType = undefined, quality = undefined, srcImageData = 'imageData', srcFile = 'src', destBlob = 'blob', } = {}) => [\n    connect(imageDataToBlob, (state) => [\n        state[srcImageData],\n        mimeType || getMimeTypeFromFilename(state[srcFile].name) || state[srcFile].type,\n        quality,\n    ], (state, blob) => (state[destBlob] = blob)),\n    'image-data-to-blob',\n];\nconst ImageDataToCanvas = ({ srcImageData = 'imageData', srcOrientation = 'orientation', destCanvas = 'dest', } = {}) => [\n    connect(imageDataToCanvas, (state) => [state[srcImageData], state[srcOrientation]], (state, canvas) => (state[destCanvas] = canvas)),\n    'image-data-to-canvas',\n];\nconst writeImageHead = async (blob, head) => {\n    if (!isJPEG(blob) || !head)\n        return blob;\n    // get exif section\n    const view = new DataView(head);\n    const markers = dataViewGetApplicationMarkers(view);\n    // no markers found\n    if (!markers || !markers.exif)\n        return blob;\n    const headEnd = ['exif', 'mpf', 'xmp'].reduce((max, key) => {\n        return markers[key] ? Math.max(max, markers[key].offset + markers[key].size) : max;\n    }, 0);\n    // from byte 0 to end of exif header\n    const headBuffer = head.slice(0, headEnd + 2);\n    return blobWriteSection(blob, \n    // insert head buffer into blob\n    headBuffer, \n    // current blob doesn't have exif header (as outputted by canvas), so we insert ours in\n    // (jpeg header 2) + (jfif size 16) + (app1 header 2)\n    [20]);\n};\nconst BlobWriteImageHead = (srcBlob = 'blob', srcHead = 'head', destBlob = 'blob') => [\n    connect(writeImageHead, (state) => [state[srcBlob], state[srcHead]], (state, blob) => (state[destBlob] = blob)),\n    'blob-write-image-head',\n];\nconst BlobToFile = ({ renameFile = undefined, srcBlob = 'blob', srcFile = 'src', destFile = 'dest', defaultFilename = undefined, } = {}) => [\n    connect(blobToFile, (state) => [\n        state[srcBlob],\n        renameFile\n            ? renameFile(state[srcFile])\n            : state[srcFile].name ||\n                `${defaultFilename}.${getExtensionFromMimeType(state[srcBlob].type)}`,\n    ], (state, file) => (state[destFile] = file)),\n    'blob-to-file',\n];\nconst Store = ({ url = './', dataset = (state) => [\n    ['dest', state.dest, state.dest.name],\n    ['imageState', state.imageState],\n], destStore = 'store', credentials, headers = {}, }) => [\n    connect(\n    // upload function\n    async (dataset, onprogress) => await post(url, dataset, {\n        onprogress,\n        beforeSend: (xhr) => configureXHR(xhr, { headers, credentials }),\n    }), \n    // get state values\n    (state, options, onprogress) => [\n        dataset(state),\n        onprogress,\n    ], \n    // set state values\n    (state, xhr) => (state[destStore] = xhr) // logs XHR request returned by `post`\n    ),\n    'store',\n];\nconst PropFilter = (allowlist) => [\n    connect((state) => {\n        // if no allowlist suppleid or is empty array we don't filter\n        if (!allowlist || !allowlist.length)\n            return state;\n        // else we only allow the props defined in the list and delete non matching props\n        Object.keys(state).forEach((key) => {\n            if (allowlist.includes(key))\n                return;\n            delete state[key];\n        });\n        return state;\n    }),\n    'prop-filter',\n];\n// Generic image reader, suitable for most use cases\nconst createDefaultImageReader$1 = (options = {}) => {\n    const { \n    // add xhr Promise intercept here\n    orientImage = true, outputProps = ['src', 'dest', 'size', 'duration'], preprocessImageFile, request = {}, } = options;\n    return [\n        // can read most source files and turn them into blobs\n        AnyToFile({ willRequest: () => request }),\n        // test if supported mime/type\n        BlobGuardMimeType(),\n        // called when file created, can be used to read unrecognized files\n        preprocessImageFile && [\n            connect(preprocessImageFile, (state, options, onprogress) => [\n                state.dest,\n                options,\n                onprogress,\n            ], (state, file) => (state.dest = file)),\n            'preprocess-image-file',\n        ],\n        // quickly read size (only reads first part of image)\n        BlobReadImageSize({ srcProp: 'dest' }),\n        // quickly read duration\n        BlobReadMediaDuration({ srcProp: 'dest' }),\n        // fix image orientation\n        orientImage && BlobReadImageHead({ srcProp: 'dest' }),\n        orientImage && ImageHeadReadExifOrientationTag(),\n        orientImage && ImageSizeMatchOrientation(),\n        // remove unwanted props\n        PropFilter(outputProps),\n    ].filter(Boolean);\n};\nconst createStore = (store) => store &&\n    (isString(store)\n        ? // a basic store to post to\n            Store({ url: store })\n        : // see if is fully custom or store config\n            isFunction(store)\n                ? // fully custom store function\n                    [store, 'store']\n                : // a store configuration object\n                    Store(store));\nconst createDefaultImageWriter$1 = (options = {}) => (src, imageState, genericOptions = {}) => {\n    // not a video, skip\n    if (!isImage(src))\n        return;\n    // let's go!\n    const { canvasMemoryLimit = getCanvasMemoryLimit(), orientImage = true, copyImageHead = true, mimeType = undefined, quality = undefined, renameFile = undefined, targetSize = undefined, imageDataResizer = undefined, store = undefined, format = 'file', outputProps = ['src', 'dest', 'imageState', 'store'], preprocessImageSource = undefined, preprocessImageState = undefined, postprocessImageData = undefined, postprocessImageBlob = undefined, } = { ...options, ...genericOptions };\n    return [\n        // allow preprocessing of image blob, should return a new blob, for example to automatically make image background transparent\n        preprocessImageSource && [\n            connect(preprocessImageSource, (state, options, onprogress) => [state.src, options, onprogress, state.imageState], (state, src) => (state.src = src)),\n            'preprocess-image-source',\n        ],\n        // get orientation info (if is jpeg)\n        (orientImage || copyImageHead) && BlobReadImageHead(),\n        orientImage && ImageHeadReadExifOrientationTag(),\n        // get image size\n        BlobReadImageSize(),\n        // allow preproccesing of image state for example to replace placeholders\n        preprocessImageState && [\n            connect(preprocessImageState, (state, options, onprogress, metadata) => [\n                state.imageState,\n                options,\n                onprogress,\n                { size: state.size, orientation: state.orientation },\n            ], (state, imageState) => (state.imageState = imageState)),\n            'preprocess-image-state',\n        ],\n        // get image data\n        BlobToImageData({ canvasMemoryLimit }),\n        // fix image orientation\n        orientImage && ImageSizeMatchOrientation(),\n        orientImage && ImageDataMatchOrientation(),\n        // apply canvas scalar to data\n        CalculateCanvasScalar(),\n        // apply image state\n        ImageDataRedact(),\n        ImageDataCrop(),\n        ImageDataResize({ imageDataResizer, targetSize }),\n        ImageDataFilter(),\n        ImageDataFill(),\n        ImageDataAnnotate({ imageDataResizer, canvasMemoryLimit }),\n        ImageDataDecorate({ imageDataResizer, canvasMemoryLimit }),\n        ImageDataFrame({ imageDataResizer, canvasMemoryLimit }),\n        // run post processing on image data, for example to apply circular crop\n        postprocessImageData && [\n            connect(postprocessImageData, (state, options, onprogress) => [state.imageData, options, onprogress], (state, imageData) => (state.imageData = imageData)),\n            'postprocess-image-data',\n        ],\n        // convert to correct output format\n        format === 'file'\n            ? ImageDataToBlob({ mimeType, quality })\n            : format === 'canvas'\n                ? ImageDataToCanvas()\n                : [\n                    (state) => {\n                        state.dest = state.imageData;\n                        return state;\n                    },\n                ],\n        // we overwite the exif orientation tag so the image is oriented correctly\n        format === 'file' && orientImage && ImageHeadClearExifOrientationTag(),\n        // we write the new image head to the target blob\n        format === 'file' && copyImageHead && BlobWriteImageHead(),\n        // allow converting the blob to a different format\n        postprocessImageBlob && [\n            connect(postprocessImageBlob, ({ blob, imageData, src }, options, onprogress) => [{ blob, imageData, src }, options, onprogress], (state, blob) => (state.blob = blob)),\n            'postprocess-image-file',\n        ],\n        // turn the image blob into a file, will also rename the file\n        format === 'file' && BlobToFile({ defaultFilename: 'image', renameFile }),\n        // upload or process data if is a file\n        format === 'file'\n            ? // used for file output formats\n                createStore(store)\n            : // used for imageData and canvas output formats\n                isFunction(store) && [store, 'store'],\n        // remove unwanted props\n        PropFilter(outputProps),\n    ].filter(Boolean);\n};\nconst isWriter = (param) => Array.isArray(param) || isFunction(param);\nconst createDefaultMediaWriter$1 = (genericWriterOptions, ...writers) => (src, imageState) => {\n    // no generic options passed\n    if (isWriter(genericWriterOptions))\n        writers = [genericWriterOptions, ...writers];\n    const genericOptions = isObject(genericWriterOptions) ? genericWriterOptions : {};\n    // currently assigned writers\n    writers = Array.isArray(writers) ? arrayFlatten(writers) : writers;\n    // loop over writers and return first that is a match\n    for (let i = 0; i < writers.length; i++) {\n        const res = writers[i](src, imageState, genericOptions);\n        if (Array.isArray(res))\n            return res;\n    }\n};\n\nvar calculateImageTransforms = (stageRect, rootRect, imageSize, cropRect, imageSelectionRect, imageSelectionRectScalar, imageSelectionRectTranslation, imageScale, imageRotation, imageFlipX, imageFlipY) => {\n    if (!stageRect || !rootRect || !imageSize || !cropRect || !imageScale)\n        return undefined;\n    // scale presentation\n    imageScale *= imageSelectionRectScalar;\n    const viewRect = rectNormalizeOffset(rectClone$1(rootRect));\n    const viewCenter = rectCenter(viewRect);\n    const stageCenter = rectCenter(stageRect);\n    const imageRect = rectCreateFromSize(imageSize);\n    const imageCenter = rectCenter(imageRect);\n    // get base crop rect so we can correctly apply transforms\n    const cropRectBase = getBaseCropRect(imageSize, cropRect, imageRotation);\n    const cropRectBaseCenter = rectCenter(cropRectBase);\n    const imageTranslation = vectorSubtract(vectorClone(imageCenter), cropRectBaseCenter);\n    // calculate stage center offset from view center\n    const imageOffset = vectorSubtract(vectorClone(stageCenter), viewCenter);\n    // correct for stage offset\n    imageTranslation.x += imageOffset.x;\n    imageTranslation.y += imageOffset.y;\n    // set origin of translation (so rotates around center of selection)\n    const imageOrigin = vectorInvert(vectorClone(imageTranslation));\n    // correct for stage offset\n    imageOrigin.x += imageOffset.x;\n    imageOrigin.y += imageOffset.y;\n    // correct for image selection offset relative to view\n    const imageSelectionCenter = rectCenter(rectTranslate$1(rectTranslate$1(rectClone$1(imageSelectionRect), imageSelectionRectTranslation), stageRect));\n    const imageSelectionOffset = vectorSubtract(imageSelectionCenter, stageCenter);\n    vectorAdd(imageTranslation, imageSelectionOffset);\n    return {\n        origin: imageOrigin,\n        translation: imageTranslation,\n        rotation: {\n            x: imageFlipY ? Math.PI : 0,\n            y: imageFlipX ? Math.PI : 0,\n            z: imageRotation,\n        },\n        scale: imageScale,\n    };\n};\n\nlet result$5 = null;\nvar supportsWebGL2 = () => {\n    if (result$5 === null) {\n        if ('WebGL2RenderingContext' in window) {\n            let canvas;\n            try {\n                canvas = h('canvas');\n                result$5 = !!canvas.getContext('webgl2');\n            }\n            catch (err) {\n                result$5 = false;\n            }\n            canvas && releaseCanvas(canvas);\n            canvas = undefined;\n        }\n        else {\n            result$5 = false;\n        }\n    }\n    return result$5;\n};\n\nvar isPowerOf2 = (value) => (value & (value - 1)) === 0;\n\nvar stringReplace = (str, entries = {}, prefix = '', postfix = '') => {\n    return Object.keys(entries)\n        .filter((key) => !isObject(entries[key]))\n        .reduce((prev, curr) => {\n        return prev.replace(new RegExp(prefix + curr + postfix), entries[curr]);\n    }, str);\n};\n\nvar SHADER_FRAG_HEAD = \"#version 300 es\\nprecision highp float;\\n\\nout vec4 fragColor;\"; // eslint-disable-line\n\nvar SHADER_FRAG_INIT = \"\\nfloat a=1.0;vec4 fillColor=uColor;vec4 textureColor=texture(uTexture,vTexCoord);textureColor*=(1.0-step(uRepeat.y,vTexCoord.y))*step(0.0,vTexCoord.y)*(1.0-step(uRepeat.x,vTexCoord.x))*step(0.0,vTexCoord.x);\"; // eslint-disable-line\n\nvar SHADER_FRAG_MASK = \"\\nuniform float uMaskFeather[8];uniform float uMaskBounds[4];uniform float uMaskOpacity;float mask(float x,float y,float bounds[4],float opacity){return 1.0-(1.0-(smoothstep(bounds[3],bounds[3]+1.0,x)*(1.0-smoothstep(bounds[1]-1.0,bounds[1],x))*(1.0-step(bounds[0],y))*step(bounds[2],y)))*(1.0-opacity);}\"; // eslint-disable-line\n\nvar SHADER_FRAG_MASK_APPLY = \"\\nfloat m=mask(gl_FragCoord.x,gl_FragCoord.y,uMaskBounds,uMaskOpacity);\"; // eslint-disable-line\n\nvar SHADER_FRAG_MASK_FEATHER_APPLY = \"\\nfloat leftFeatherOpacity=step(uMaskFeather[1],gl_FragCoord.x)*uMaskFeather[0]+((1.0-uMaskFeather[0])*smoothstep(uMaskFeather[1],uMaskFeather[3],gl_FragCoord.x));float rightFeatherOpacity=(1.0-step(uMaskFeather[7],gl_FragCoord.x))*uMaskFeather[4]+((1.0-uMaskFeather[4])*smoothstep(uMaskFeather[7],uMaskFeather[5],gl_FragCoord.x));a*=leftFeatherOpacity*rightFeatherOpacity;\"; // eslint-disable-line\n\nvar SHADER_FRAG_RECT_AA = \"\\nvec2 scaledPoint=vec2(vRectCoord.x*uSize.x,vRectCoord.y*uSize.y);a*=smoothstep(0.0,1.0,uSize.x-scaledPoint.x);a*=smoothstep(0.0,1.0,uSize.y-scaledPoint.y);a*=smoothstep(0.0,1.0,scaledPoint.x);a*=smoothstep(0.0,1.0,scaledPoint.y);\"; // eslint-disable-line\n\nvar SHADER_FRAG_CORNER_RADIUS = \"\\nvec2 s=(uSize-2.0)*.5;vec2 r=(vRectCoord*uSize)-1.0;vec2 p=r-s;float cornerRadius=uCornerRadius[0];bool left=r.x<s.x;bool top=r.y<s.y;if(!left&&top){cornerRadius=uCornerRadius[1];}if(!left&&!top){cornerRadius=uCornerRadius[3];}if(left&&!top){cornerRadius=uCornerRadius[2];}a*=1.0-clamp(length(max(abs(p)-(s-cornerRadius),0.0))-cornerRadius,0.0,1.0);\"; // eslint-disable-line\n\nvar SHADER_FRAG_SHAPE_BLEND_COLOR = \"\\nif(m<=0.0)discard;fillColor.a*=a;fillColor.rgb*=fillColor.a;fillColor.rgb*=m;fillColor.rgb+=(1.0-m)*(uCanvasColor.rgb*fillColor.a);textureColor*=uTextureOpacity;textureColor.a*=a;textureColor.rgb*=m*a;textureColor.rgb+=(1.0-m)*(uCanvasColor.rgb*textureColor.a);fragColor=textureColor+(fillColor*(1.0-textureColor.a));\"; // eslint-disable-line\n\nvar SHADER_FRAG_TEXTURE_COLORIZE = \"\\nif(uTextureColor.a!=0.0&&textureColor.a>0.0){vec3 colorFlattened=textureColor.rgb/textureColor.a;if(colorFlattened.r>=.9999&&colorFlattened.g==0.0&&colorFlattened.b>=.9999){textureColor.rgb=uTextureColor.rgb*textureColor.a;}textureColor*=uTextureColor.a;}\"; // eslint-disable-line\n\nvar SHADER_VERT_HEAD = \"#version 300 es\\n\\nin vec4 aPosition;uniform mat4 uMatrix;\"; // eslint-disable-line\n\nvar SHADER_VERT_MULTIPLY_MATRUX = \"\\ngl_Position=uMatrix*vec4(aPosition.x,aPosition.y,0,1);\"; // eslint-disable-line\n\nvar SHADER_VERT_TEXTURE = \"\\nin vec2 aTexCoord;out vec2 vTexCoord;\"; // eslint-disable-line\n\nconst SHADER_VERT_SNIPPETS = {\n    head: SHADER_VERT_HEAD,\n    text: SHADER_VERT_TEXTURE,\n    matrix: SHADER_VERT_MULTIPLY_MATRUX,\n};\nconst SHADER_FRAG_SNIPPETS = {\n    head: SHADER_FRAG_HEAD,\n    mask: SHADER_FRAG_MASK,\n    init: SHADER_FRAG_INIT,\n    colorize: SHADER_FRAG_TEXTURE_COLORIZE,\n    maskapply: SHADER_FRAG_MASK_APPLY,\n    maskfeatherapply: SHADER_FRAG_MASK_FEATHER_APPLY,\n    edgeaa: SHADER_FRAG_RECT_AA,\n    cornerradius: SHADER_FRAG_CORNER_RADIUS,\n    fragcolor: SHADER_FRAG_SHAPE_BLEND_COLOR,\n};\nconst transpileShader = (gl, src, type) => {\n    src = stringReplace(src, type === gl.VERTEX_SHADER ? SHADER_VERT_SNIPPETS : SHADER_FRAG_SNIPPETS, '##').trim();\n    // ready if supports webgl\n    if (supportsWebGL2())\n        return src;\n    src = src.replace(/#version.+/gm, '').trim();\n    src = src.replace(/^\\/\\/\\#/gm, '#');\n    if (type === gl.VERTEX_SHADER) {\n        src = src.replace(/in /gm, 'attribute ').replace(/out /g, 'varying ');\n    }\n    if (type === gl.FRAGMENT_SHADER) {\n        src = src\n            .replace(/in /gm, 'varying ')\n            .replace(/out.*?;/gm, '')\n            .replace(/texture\\(/g, 'texture2D(')\n            .replace(/fragColor/g, 'gl_FragColor');\n    }\n    return `${src}`;\n};\nconst compileShader = (gl, src, type) => {\n    const shader = gl.createShader(type);\n    const transpiledSrc = transpileShader(gl, src, type);\n    gl.shaderSource(shader, transpiledSrc);\n    gl.compileShader(shader);\n    if (!gl.getShaderParameter(shader, gl.COMPILE_STATUS)) {\n        console.error(gl.getShaderInfoLog(shader));\n    }\n    return shader;\n};\nconst createShader = (gl, vertexShaderCode, fragmentShaderCode, attribs, uniforms) => {\n    const vertexShader = compileShader(gl, vertexShaderCode, gl.VERTEX_SHADER);\n    const fragmentShader = compileShader(gl, fragmentShaderCode, gl.FRAGMENT_SHADER);\n    const program = gl.createProgram();\n    gl.attachShader(program, vertexShader);\n    gl.attachShader(program, fragmentShader);\n    gl.linkProgram(program);\n    const locations = {};\n    attribs.forEach((name) => {\n        locations[name] = gl.getAttribLocation(program, name);\n    });\n    uniforms.forEach((name) => {\n        locations[name] = gl.getUniformLocation(program, name);\n    });\n    return {\n        program,\n        locations,\n        destroy() {\n            gl.detachShader(program, vertexShader);\n            gl.detachShader(program, fragmentShader);\n            gl.deleteShader(vertexShader);\n            gl.deleteShader(fragmentShader);\n            gl.deleteProgram(program);\n        },\n    };\n};\nconst canMipMap = (source) => {\n    if (source['nodeName'] === 'VIDEO')\n        return false;\n    if (supportsWebGL2())\n        return true;\n    return isPowerOf2(source.width) && isPowerOf2(source.height);\n};\nconst applyTextureProperties = (gl, source, options) => {\n    gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MIN_FILTER, canMipMap(source) ? gl.LINEAR_MIPMAP_LINEAR : gl.LINEAR);\n    gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MAG_FILTER, options.filterParam);\n    gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_S, options.wrapParam);\n    gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_T, options.wrapParam);\n    if (canMipMap(source))\n        gl.generateMipmap(gl.TEXTURE_2D);\n};\nconst updateTexture = (gl, texture, source, options) => {\n    gl.bindTexture(gl.TEXTURE_2D, texture);\n    gl.texImage2D(gl.TEXTURE_2D, 0, gl.RGBA, gl.RGBA, gl.UNSIGNED_BYTE, source);\n    applyTextureProperties(gl, source, options);\n    gl.bindTexture(gl.TEXTURE_2D, null);\n    return texture;\n};\nconst applyOpacity = (color, opacity = 1) => color\n    ? [color[0], color[1], color[2], isNumber(color[3]) ? opacity * color[3] : opacity]\n    : [0, 0, 0, 0];\n\nconst mat4Create = () => {\n    const mat = new Float32Array(16);\n    mat[0] = 1;\n    mat[5] = 1;\n    mat[10] = 1;\n    mat[15] = 1;\n    return mat;\n};\nconst mat4Perspective = (mat, fovy, aspect, near, far) => {\n    const f = 1.0 / Math.tan(fovy / 2);\n    const nf = 1 / (near - far);\n    mat[0] = f / aspect;\n    mat[1] = 0;\n    mat[2] = 0;\n    mat[3] = 0;\n    mat[4] = 0;\n    mat[5] = f;\n    mat[6] = 0;\n    mat[7] = 0;\n    mat[8] = 0;\n    mat[9] = 0;\n    mat[10] = (far + near) * nf;\n    mat[11] = -1;\n    mat[12] = 0;\n    mat[13] = 0;\n    mat[14] = 2 * far * near * nf;\n    mat[15] = 0;\n};\nconst mat4Ortho = (mat, left, right, bottom, top, near, far) => {\n    const lr = 1 / (left - right);\n    const bt = 1 / (bottom - top);\n    const nf = 1 / (near - far);\n    mat[0] = -2 * lr;\n    mat[1] = 0;\n    mat[2] = 0;\n    mat[3] = 0;\n    mat[4] = 0;\n    mat[5] = -2 * bt;\n    mat[6] = 0;\n    mat[7] = 0;\n    mat[8] = 0;\n    mat[9] = 0;\n    mat[10] = 2 * nf;\n    mat[11] = 0;\n    mat[12] = (left + right) * lr;\n    mat[13] = (top + bottom) * bt;\n    mat[14] = (far + near) * nf;\n    mat[15] = 1;\n};\nconst mat4Translate = (mat, x, y, z) => {\n    mat[12] = mat[0] * x + mat[4] * y + mat[8] * z + mat[12];\n    mat[13] = mat[1] * x + mat[5] * y + mat[9] * z + mat[13];\n    mat[14] = mat[2] * x + mat[6] * y + mat[10] * z + mat[14];\n    mat[15] = mat[3] * x + mat[7] * y + mat[11] * z + mat[15];\n};\nconst mat4Scale = (mat, s) => {\n    mat[0] *= s;\n    mat[1] *= s;\n    mat[2] *= s;\n    mat[3] *= s;\n    mat[4] *= s;\n    mat[5] *= s;\n    mat[6] *= s;\n    mat[7] *= s;\n    mat[8] *= s;\n    mat[9] *= s;\n    mat[10] *= s;\n    mat[11] *= s;\n};\nconst mat4ScaleX = (mat, s) => {\n    mat[0] *= s;\n    mat[1] *= s;\n    mat[2] *= s;\n    mat[3] *= s;\n};\nconst mat4ScaleY = (mat, s) => {\n    mat[4] *= s;\n    mat[5] *= s;\n    mat[6] *= s;\n    mat[7] *= s;\n};\nconst mat4RotateX = (mat, rad) => {\n    const s = Math.sin(rad);\n    const c = Math.cos(rad);\n    const a10 = mat[4];\n    const a11 = mat[5];\n    const a12 = mat[6];\n    const a13 = mat[7];\n    const a20 = mat[8];\n    const a21 = mat[9];\n    const a22 = mat[10];\n    const a23 = mat[11];\n    mat[4] = a10 * c + a20 * s;\n    mat[5] = a11 * c + a21 * s;\n    mat[6] = a12 * c + a22 * s;\n    mat[7] = a13 * c + a23 * s;\n    mat[8] = a20 * c - a10 * s;\n    mat[9] = a21 * c - a11 * s;\n    mat[10] = a22 * c - a12 * s;\n    mat[11] = a23 * c - a13 * s;\n};\nconst mat4RotateY = (mat, rad) => {\n    const s = Math.sin(rad);\n    const c = Math.cos(rad);\n    const a00 = mat[0];\n    const a01 = mat[1];\n    const a02 = mat[2];\n    const a03 = mat[3];\n    const a20 = mat[8];\n    const a21 = mat[9];\n    const a22 = mat[10];\n    const a23 = mat[11];\n    mat[0] = a00 * c - a20 * s;\n    mat[1] = a01 * c - a21 * s;\n    mat[2] = a02 * c - a22 * s;\n    mat[3] = a03 * c - a23 * s;\n    mat[8] = a00 * s + a20 * c;\n    mat[9] = a01 * s + a21 * c;\n    mat[10] = a02 * s + a22 * c;\n    mat[11] = a03 * s + a23 * c;\n};\nconst mat4RotateZ = (mat, rad) => {\n    const s = Math.sin(rad);\n    const c = Math.cos(rad);\n    const a00 = mat[0];\n    const a01 = mat[1];\n    const a02 = mat[2];\n    const a03 = mat[3];\n    const a10 = mat[4];\n    const a11 = mat[5];\n    const a12 = mat[6];\n    const a13 = mat[7];\n    mat[0] = a00 * c + a10 * s;\n    mat[1] = a01 * c + a11 * s;\n    mat[2] = a02 * c + a12 * s;\n    mat[3] = a03 * c + a13 * s;\n    mat[4] = a10 * c - a00 * s;\n    mat[5] = a11 * c - a01 * s;\n    mat[6] = a12 * c - a02 * s;\n    mat[7] = a13 * c - a03 * s;\n};\n\nvar degToRad = (degrees) => degrees * Math.PI / 180;\n\nvar getWebGLContext = (canvas, attrs) => {\n    if (supportsWebGL2())\n        return canvas.getContext('webgl2', attrs);\n    return (canvas.getContext('webgl', attrs) ||\n        canvas.getContext('experimental-webgl', attrs));\n};\n\nvar imageFragmentShader = \"\\n##head\\nin vec2 vTexCoord;uniform sampler2D uTexture;uniform sampler2D uTextureOverlay;uniform sampler2D uTextureBlend;uniform vec2 uTextureSize;uniform float uOpacity;uniform int uAntialias;uniform vec4 uOverlayColor;uniform mat4 uColorMatrix;uniform vec4 uColorOffset;uniform float uClarityKernel[9];uniform float uClarityKernelWeight;uniform float uColorGamma;uniform float uColorVignette;uniform float uMaskClip;uniform float uMaskOpacity;uniform float uMaskBounds[4];uniform float uMaskCornerRadius[4];uniform float uMaskFeather[8];vec4 applyGamma(vec4 c,float g){c.r=pow(c.r,g);c.g=pow(c.g,g);c.b=pow(c.b,g);return c;}vec4 applyColorMatrix(vec4 c,mat4 m,vec4 o){return(c*m)+(o*c.a);}vec4 applyConvolutionMatrix(vec4 c,float k0,float k1,float k2,float k3,float k4,float k5,float k6,float k7,float k8,float w){vec2 pixel=vec2(1)/uTextureSize;vec4 colorSum=texture(uTexture,vTexCoord-pixel)*k0+texture(uTexture,vTexCoord+pixel*vec2(0.0,-1.0))*k1+texture(uTexture,vTexCoord+pixel*vec2(1.0,-1.0))*k2+texture(uTexture,vTexCoord+pixel*vec2(-1.0,0.0))*k3+texture(uTexture,vTexCoord)*k4+texture(uTexture,vTexCoord+pixel*vec2(1.0,0.0))*k5+texture(uTexture,vTexCoord+pixel*vec2(-1.0,1.0))*k6+texture(uTexture,vTexCoord+pixel*vec2(0.0,1.0))*k7+texture(uTexture,vTexCoord+pixel)*k8;vec4 color=vec4(clamp((colorSum/w),0.0,1.0).rgb,c.a);return color;}vec4 applyVignette(vec4 c,vec2 pos,vec2 center,float v){float d=distance(pos,center)/length(center);float f=1.0-(d*abs(v));if(v>0.0){c.rgb*=f;}else if(v<0.0){c.rgb+=(1.0-f)*(1.0-c.rgb);}return c;}vec4 blendPremultipliedAlpha(vec4 back,vec4 front){return front+(back*(1.0-front.a));}void main(){float x=gl_FragCoord.x;float y=gl_FragCoord.y;float a=1.0;float maskTop=uMaskBounds[0];float maskRight=uMaskBounds[1];float maskBottom=uMaskBounds[2];float maskLeft=uMaskBounds[3];float leftFeatherOpacity=step(uMaskFeather[1],x)*uMaskFeather[0]+((1.0-uMaskFeather[0])*smoothstep(uMaskFeather[1],uMaskFeather[3],x));float rightFeatherOpacity=(1.0-step(uMaskFeather[7],x))*uMaskFeather[4]+((1.0-uMaskFeather[4])*smoothstep(uMaskFeather[7],uMaskFeather[5],x));a*=leftFeatherOpacity*rightFeatherOpacity;float overlayColorAlpha=(smoothstep(maskLeft,maskLeft+1.0,x)*(1.0-smoothstep(maskRight-1.0,maskRight,x))*(1.0-step(maskTop,y))*step(maskBottom,y));if(uOverlayColor.a==0.0){a*=overlayColorAlpha;}vec2 offset=vec2(maskLeft,maskBottom);vec2 size=vec2(maskRight-maskLeft,maskTop-maskBottom)*.5;vec2 center=offset.xy+size.xy;int pixelX=int(step(center.x,x));int pixelY=int(step(y,center.y));float cornerRadius=0.0;if(pixelX==0&&pixelY==0)cornerRadius=uMaskCornerRadius[0];if(pixelX==1&&pixelY==0)cornerRadius=uMaskCornerRadius[1];if(pixelX==0&&pixelY==1)cornerRadius=uMaskCornerRadius[2];if(pixelX==1&&pixelY==1)cornerRadius=uMaskCornerRadius[3];float cornerOffset=sign(cornerRadius)*length(max(abs(gl_FragCoord.xy-size-offset)-size+cornerRadius,0.0))-cornerRadius;float cornerOpacity=1.0-smoothstep(0.0,1.0,cornerOffset);a*=cornerOpacity;if(uAntialias==1){vec2 scaledPoint=vec2(vTexCoord.x*uTextureSize.x,vTexCoord.y*uTextureSize.y);a*=smoothstep(0.0,1.0,uTextureSize.x-scaledPoint.x);a*=smoothstep(0.0,1.0,uTextureSize.y-scaledPoint.y);a*=smoothstep(0.0,1.0,scaledPoint.x);a*=smoothstep(0.0,1.0,scaledPoint.y);}vec4 color=texture(uTexture,vTexCoord);if(uClarityKernelWeight!=-1.0){color=applyConvolutionMatrix(color,uClarityKernel[0],uClarityKernel[1],uClarityKernel[2],uClarityKernel[3],uClarityKernel[4],uClarityKernel[5],uClarityKernel[6],uClarityKernel[7],uClarityKernel[8],uClarityKernelWeight);}color=blendPremultipliedAlpha(color,texture(uTextureBlend,vTexCoord));color=applyGamma(color,uColorGamma);color=applyColorMatrix(color,uColorMatrix,uColorOffset);color*=a;if(uColorVignette!=0.0){vec2 pos=gl_FragCoord.xy-offset;color=applyVignette(color,pos,center-offset,uColorVignette);}color=blendPremultipliedAlpha(color,texture(uTextureOverlay,vTexCoord));if(overlayColorAlpha<=0.0){color*=1.0-uOverlayColor.a;}color*=uOpacity;fragColor=color;}\"; // eslint-disable-line\n\nvar imageVertexShader = \"\\n##head\\n##text\\nvoid main(){vTexCoord=aTexCoord;gl_Position=uMatrix*aPosition;}\"; // eslint-disable-line\n\nvar pathVertexShader = \"#version 300 es\\n\\nin vec4 aPosition;in vec2 aNormal;in float aMiter;out vec2 vNormal;out float vMiter;out float vWidth;uniform float uWidth;uniform float uSharpness;uniform mat4 uMatrix;void main(){vMiter=aMiter;vNormal=aNormal;vWidth=(uWidth*.5)+uSharpness;gl_Position=uMatrix*vec4(aPosition.x+(aNormal.x*vWidth*aMiter),aPosition.y+(aNormal.y*vWidth*aMiter),0,1);}\"; // eslint-disable-line\n\nvar pathFragmentShader = \"\\n##head\\n##mask\\nin vec2 vNormal;in float vMiter;in float vWidth;uniform float uWidth;uniform vec4 uColor;uniform vec4 uCanvasColor;void main(){vec4 fillColor=uColor;float m=mask(gl_FragCoord.x,gl_FragCoord.y,uMaskBounds,uMaskOpacity);if(m<=0.0)discard;fillColor.a*=clamp(smoothstep(vWidth-.5,vWidth-1.0,abs(vMiter)*vWidth),0.0,1.0);fillColor.rgb*=fillColor.a;fillColor.rgb*=m;fillColor.rgb+=(1.0-m)*(uCanvasColor.rgb*fillColor.a);fragColor=fillColor;}\"; // eslint-disable-line\n\nvar rectVertexShader = \"\\n##head\\n##text\\nin vec2 aRectCoord;out vec2 vRectCoord;void main(){vTexCoord=aTexCoord;vRectCoord=aRectCoord;\\n##matrix\\n}\"; // eslint-disable-line\n\nvar rectFragmentShader = \"\\n##head\\n##mask\\nin vec2 vTexCoord;in vec2 vRectCoord;uniform sampler2D uTexture;uniform vec4 uTextureColor;uniform float uTextureOpacity;uniform vec2 uRepeat;uniform vec4 uColor;uniform float uCornerRadius[4];uniform vec2 uSize;uniform vec2 uPosition;uniform vec4 uCanvasColor;uniform int uInverted;void main(){\\n##init\\n##colorize\\n##edgeaa\\n##cornerradius\\n##maskfeatherapply\\nif(uInverted==1)a=1.0-a;\\n##maskapply\\n##fragcolor\\n}\"; // eslint-disable-line\n\nvar ellipseVertexShader = \"\\n##head\\n##text\\nout vec2 vTexCoordDouble;void main(){vTexCoordDouble=vec2(aTexCoord.x*2.0-1.0,aTexCoord.y*2.0-1.0);vTexCoord=aTexCoord;\\n##matrix\\n}\"; // eslint-disable-line\n\nvar ellipseFragmentShader = \"\\n##head\\n##mask\\nin vec2 vTexCoord;in vec2 vTexCoordDouble;uniform sampler2D uTexture;uniform float uTextureOpacity;uniform vec2 uRepeat;uniform vec2 uRadius;uniform vec4 uColor;uniform int uInverted;uniform vec4 uCanvasColor;void main(){\\n##init\\nfloat ar=uRadius.x/uRadius.y;vec2 rAA=vec2(uRadius.x-1.0,uRadius.y-(1.0/ar));vec2 scaledPointSq=vec2((vTexCoordDouble.x*uRadius.x)*(vTexCoordDouble.x*uRadius.x),(vTexCoordDouble.y*uRadius.y)*(vTexCoordDouble.y*uRadius.y));float p=(scaledPointSq.x/(uRadius.x*uRadius.x))+(scaledPointSq.y/(uRadius.y*uRadius.y));float pAA=(scaledPointSq.x/(rAA.x*rAA.x))+(scaledPointSq.y/(rAA.y*rAA.y));a=smoothstep(1.0,p/pAA,p);if(uInverted==1)a=1.0-a;\\n##maskapply\\n##fragcolor\\n}\"; // eslint-disable-line\n\nvar triangleVertexShader = \"\\n##head\\nvoid main(){\\n##matrix\\n}\"; // eslint-disable-line\n\nvar triangleFragmentShader = \"\\n##head\\n##mask\\nuniform vec4 uColor;uniform vec4 uCanvasColor;void main(){vec4 fillColor=uColor;\\n##maskapply\\nfillColor.rgb*=fillColor.a;fillColor.rgb*=m;fillColor.rgb+=(1.0-m)*(uCanvasColor.rgb*fillColor.a);fragColor=fillColor;}\"; // eslint-disable-line\n\nconst getIndex = (arr, index) => {\n    const l = arr.length;\n    if (index >= l)\n        return arr[index % l];\n    if (index < 0)\n        return arr[(index % l) + l];\n    return arr[index];\n};\nconst getPolygonArea = (vertices) => {\n    let area = 0, i, va, vb, w, h;\n    const l = vertices.length;\n    for (i = 0; i < l; i++) {\n        va = vertices[i];\n        vb = vertices[(i + 1) % l];\n        w = vb.x - va.x;\n        h = (vb.y + va.y) / 2;\n        area += w * h;\n    }\n    return area;\n};\nconst isPointInTriangle = (p, a, b, c) => {\n    const ab = vectorCreate(b.x - a.x, b.y - a.y);\n    const bc = vectorCreate(c.x - b.x, c.y - b.y);\n    const ca = vectorCreate(a.x - c.x, a.y - c.y);\n    const ap = vectorCreate(p.x - a.x, p.y - a.y);\n    const bp = vectorCreate(p.x - b.x, p.y - b.y);\n    const cp = vectorCreate(p.x - c.x, p.y - c.y);\n    const c1 = vectorCross(ab, ap);\n    const c2 = vectorCross(bc, bp);\n    const c3 = vectorCross(ca, cp);\n    return c1 <= 0 && c2 <= 0 && c3 <= 0;\n};\nconst isIntersectingSelf = (vertices) => {\n    // test if lines intersect\n    const l = vertices.length;\n    for (let i = 0; i < l; i++) {\n        const line = lineCreate(vertices[i], getIndex(vertices, i + 1));\n        const intersections = linePointsIntersection(line, vertices, {\n            ignoreIdenticalLines: true,\n            breakOnIntersection: true,\n        });\n        // is intersecting\n        if (intersections)\n            return true;\n    }\n    return false;\n};\nconst triangulate = (vertices) => {\n    // not enough vertices\n    if (vertices.length < 3)\n        return [];\n    // test if is simple polygon\n    if (isIntersectingSelf(vertices))\n        return [];\n    // if vertices aren't clockwise, reverse\n    if (getPolygonArea(vertices) < 0)\n        vertices.reverse();\n    // TODO: remove 180 degree corners, vertices should either be convex (< 180) or reflex (> 180), this happens when three vertices are in the same line\n    // triangulate\n    const totalVertices = vertices.length;\n    const indexList = [...Array(totalVertices).keys()];\n    const triangles = [];\n    // faster to declare vars out of loop\n    let i, j, a, b, c, va, vb, vc, vaToVb, vaToVc, isEar, p;\n    let safe = 128;\n    while (indexList.length > 3) {\n        // safeguard against infinite loops\n        if (safe <= 0)\n            return [];\n        // lower safeguard\n        safe--;\n        // start calculating triangles\n        for (i = 0; i < indexList.length; i++) {\n            a = indexList[i];\n            b = getIndex(indexList, i - 1);\n            c = getIndex(indexList, i + 1);\n            va = vertices[a];\n            vb = vertices[b];\n            vc = vertices[c];\n            vaToVb = vectorCreate(vb.x - va.x, vb.y - va.y);\n            vaToVc = vectorCreate(vc.x - va.x, vc.y - va.y);\n            // is not an ear if is reflex corner (angle > 180)\n            if (vectorCross(vaToVb, vaToVc) < 0)\n                continue;\n            isEar = true;\n            for (j = 0; j < totalVertices; j++) {\n                // skip as is me\n                if (j === a || j === b || j === c)\n                    continue;\n                // is not an ear if another vertex falls in this triangle\n                p = vertices[j];\n                if (isPointInTriangle(p, vb, va, vc)) {\n                    isEar = false;\n                    break;\n                }\n            }\n            // skip\n            if (!isEar)\n                continue;\n            // found ear\n            triangles.push([vb, va, vc]);\n            // no longer interested in this index\n            indexList.splice(i, 1);\n            break;\n        }\n    }\n    // finale triangle\n    triangles.push([vertices[indexList[0]], vertices[indexList[1]], vertices[indexList[2]]]);\n    return triangles;\n};\nconst createPathSegment = (vertices, index, a, b, c) => {\n    const ab = vectorNormalize(vectorCreate(b.x - a.x, b.y - a.y));\n    const bc = vectorNormalize(vectorCreate(c.x - b.x, c.y - b.y));\n    const tangent = vectorNormalize(vectorCreate(ab.x + bc.x, ab.y + bc.y));\n    const miter = vectorCreate(-tangent.y, tangent.x);\n    const normal = vectorCreate(-ab.y, ab.x);\n    // limit miter length (TEMP fix to prevent spikes, should eventually add caps)\n    const miterLength = Math.min(1 / vectorDot(miter, normal), 5);\n    vertices[index] = b.x;\n    vertices[index + 1] = b.y;\n    vertices[index + 2] = miter.x * miterLength;\n    vertices[index + 3] = miter.y * miterLength;\n    vertices[index + 4] = -1;\n    vertices[index + 5] = b.x;\n    vertices[index + 6] = b.y;\n    vertices[index + 7] = miter.x * miterLength;\n    vertices[index + 8] = miter.y * miterLength;\n    vertices[index + 9] = 1;\n};\nconst createPathVertices = (points, close) => {\n    let a, b, c, i = 0;\n    const l = points.length;\n    const stride = 10;\n    const vertices = new Float32Array((close ? l + 1 : l) * stride);\n    const first = points[0];\n    const last = points[l - 1];\n    for (i = 0; i < l; i++) {\n        a = points[i - 1];\n        b = points[i];\n        c = points[i + 1];\n        // if previous point not available use inverse vector to next point\n        if (!a)\n            a = close ? last : vectorCreate(b.x + (b.x - c.x), b.y + (b.y - c.y));\n        // if next point not available use inverse vector from previous point\n        if (!c)\n            c = close ? first : vectorCreate(b.x + (b.x - a.x), b.y + (b.y - a.y));\n        createPathSegment(vertices, i * stride, a, b, c);\n    }\n    if (close)\n        createPathSegment(vertices, l * stride, last, first, points[1]);\n    return vertices;\n};\nconst rectPointsToVertices = (points) => {\n    // [tl, tr, br, bl]\n    // B   D\n    // | \\ |\n    // A  C\n    const vertices = new Float32Array(8);\n    vertices[0] = points[3].x;\n    vertices[1] = points[3].y;\n    vertices[2] = points[0].x;\n    vertices[3] = points[0].y;\n    vertices[4] = points[2].x;\n    vertices[5] = points[2].y;\n    vertices[6] = points[1].x;\n    vertices[7] = points[1].y;\n    return vertices;\n};\nconst createRectPoints = (rect, rotation = 0, flipX, flipY) => {\n    const corners = rectGetCorners(rect);\n    const cx = rect.x + rect.width * 0.5;\n    const cy = rect.y + rect.height * 0.5;\n    if (flipX || flipY)\n        vectorsFlip(corners, flipX, flipY, cx, cy);\n    if (rotation !== 0)\n        vectorsRotate(corners, rotation, cx, cy);\n    return corners;\n};\nconst createEllipseOutline = (x, y, width, height, rotation, flipX, flipY) => {\n    const rx = Math.abs(width) * 0.5;\n    const ry = Math.abs(height) * 0.5;\n    const size = Math.abs(width) + Math.abs(height);\n    const precision = Math.max(20, Math.round(size / 6));\n    return ellipseToPolygon(vectorCreate(x + rx, y + ry), rx, ry, rotation, flipX, flipY, precision);\n};\nconst createRectOutline = (x, y, width, height, rotation, cornerRadius, flipX, flipY) => {\n    const points = [];\n    if (cornerRadius.every((v) => v === 0)) {\n        points.push(vectorCreate(x, y), // top left corner\n        vectorCreate(x + width, y), // top right corner\n        vectorCreate(x + width, y + height), // bottom right corner\n        vectorCreate(x, y + height) // bottom left corner\n        );\n    }\n    else {\n        const [tl, tr, bl, br] = cornerRadius;\n        const l = x;\n        const r = x + width;\n        const t = y;\n        const b = y + height;\n        // start at end of top left corner\n        points.push(vectorCreate(l + tl, t));\n        pushRectCornerPoints(points, r - tr, t + tr, tr, -1);\n        // move to bottom right corner\n        points.push(vectorCreate(r, t + tr));\n        pushRectCornerPoints(points, r - br, b - br, br, 0);\n        // move to bottom left corner\n        points.push(vectorCreate(r - br, b));\n        pushRectCornerPoints(points, l + bl, b - bl, bl, 1);\n        // move to top left corner\n        points.push(vectorCreate(l, b - bl));\n        pushRectCornerPoints(points, l + tl, t + tl, tl, 2);\n    }\n    if (flipX || flipY)\n        vectorsFlip(points, flipX, flipY, x + width * 0.5, y + height * 0.5);\n    if (rotation)\n        vectorsRotate(points, rotation, x + width * 0.5, y + height * 0.5);\n    return points;\n};\nconst pushRectCornerPoints = (points, x, y, radius, offset) => {\n    const precision = Math.min(20, Math.max(4, Math.round(radius / 2)));\n    let p = 0;\n    let s = 0;\n    let rx = 0;\n    let ry = 0;\n    let i = 0;\n    for (; i < precision; i++) {\n        p = i / precision;\n        s = offset * HALF_PI + p * HALF_PI;\n        rx = radius * Math.cos(s);\n        ry = radius * Math.sin(s);\n        points.push(vectorCreate(x + rx, y + ry));\n    }\n};\n\nlet limit = null;\nvar getWebGLTextureSizeLimit = () => {\n    if (limit !== null)\n        return limit;\n    let canvas = h('canvas');\n    const gl = getWebGLContext(canvas);\n    limit = gl ? gl.getParameter(gl.MAX_TEXTURE_SIZE) : undefined;\n    releaseCanvas(canvas);\n    canvas = undefined;\n    return limit;\n};\n\nvar isChrome = () => isBrowser() && !!window['chrome'];\n\n// prettier-ignore\n// B   D\n// | \\ |\n// A  C\nconst RECT_UV = new Float32Array([\n    0.0, 1.0,\n    0.0, 0.0,\n    1.0, 1.0,\n    1.0, 0.0, // D\n]);\n// prettier-ignore\n// BROWSER BUG FIX: Here to fix Firefox video texture rotation issue\nconst RECT_UV_ROTATED = new Float32Array([\n    1.0, 0.0,\n    0.0, 0.0,\n    1.0, 1.0,\n    0.0, 1.0, // D\n]);\nconst SHOULD_APPLY_ROTATED_UV_TO_VIDEO_TEXTURES = isBrowser() && isFirefox();\nconst CLARITY_IDENTITY = [0, 0, 0, 0, 1, 0, 0, 0, 0];\nconst COLOR_MATRIX_IDENTITY$1 = [1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0];\nconst TEXTURE_TRANSPARENT_INDEX = 0;\nconst TEXTURE_PREVIEW_BLEND_INDEX = 1;\nconst TEXTURE_PREVIEW_OVERLAY_INDEX = 2;\nconst TEXTURE_PREVIEW_INDEX = 3;\nconst TEXTURE_SHAPE_INDEX = 4;\nconst COLOR_TRANSPARENT = [0, 0, 0, 0];\nconst NO_CORNERS = [0, 0, 0, 0];\nconst calculateBackgroundUVMap = (width, height, backgroundSize, backgroundPosition, viewPixelDensity) => {\n    if (!backgroundSize || !backgroundPosition)\n        return RECT_UV;\n    let x = backgroundPosition.x / backgroundSize.width;\n    let y = backgroundPosition.y / backgroundSize.height;\n    let w = width / backgroundSize.width / viewPixelDensity;\n    let h = height / backgroundSize.height / viewPixelDensity;\n    w -= x;\n    h -= y;\n    // prettier-ignore\n    // B   D\n    // | \\ |\n    // A  C\n    // bottom left\n    const ax = -x;\n    const ay = h;\n    // top left\n    const bx = -x;\n    const by = -y;\n    // bottom right\n    const cx = w;\n    const cy = h;\n    // top right\n    const dx = w;\n    const dy = -y;\n    return new Float32Array([\n        ax,\n        ay,\n        bx,\n        by,\n        cx,\n        cy,\n        dx,\n        dy, // D\n    ]);\n};\nconst limitCornerRadius = (r, size) => {\n    return Math.floor(clamp(r, 0, Math.min((size.width - 1) * 0.5, (size.height - 1) * 0.5)));\n};\nvar createWebGLCanvas = (canvas, options = {}) => {\n    // defaults\n    const { alpha = false } = options;\n    // go\n    const viewSize = { width: 0, height: 0 };\n    const viewSizeVisual = { width: 0, height: 0 };\n    const textureSizeLimit = getWebGLTextureSizeLimit() || 1024;\n    let viewAspectRatio;\n    let viewPixelDensity;\n    let pathSharpness;\n    const overlayMatrixCanvas = mat4Create();\n    const imageFrameBuffer = mat4Create();\n    let overlayMatrix;\n    let maskTop;\n    let maskRight;\n    let maskBottom;\n    let maskLeft;\n    let maskOpacity;\n    let maskBounds;\n    let IMAGE_MASK_FEATHER; // updated when viewport is resized\n    let RECT_MASK_FEATHER;\n    let CANVAS_COLOR_R = 0;\n    let CANVAS_COLOR_G = 0;\n    let CANVAS_COLOR_B = 0;\n    let CANVAS_COLOR_A = 1;\n    const indexTextureMap = new Map([]);\n    // resize view\n    const resize = (width, height, pixelDensity) => {\n        // density\n        viewPixelDensity = pixelDensity;\n        // set path sharpness factor so paths look a little nicer on low res displays\n        pathSharpness = viewPixelDensity === 1 ? 0.75 : 1;\n        // visual size\n        viewSizeVisual.width = width;\n        viewSizeVisual.height = height;\n        // size\n        viewSize.width = width * viewPixelDensity;\n        viewSize.height = height * viewPixelDensity;\n        // calculate the aspect ratio, we use this to determine quad size\n        viewAspectRatio = getAspectRatio(viewSize.width, viewSize.height);\n        // sync dimensions with image data\n        canvas.width = viewSize.width;\n        canvas.height = viewSize.height;\n        // update canvas markup matrix\n        mat4Ortho(overlayMatrixCanvas, 0, viewSize.width, viewSize.height, 0, -1, 1);\n        IMAGE_MASK_FEATHER = [1, 0, 1, 0, 1, viewSizeVisual.width, 1, viewSizeVisual.width];\n    };\n    const enablePreviewStencil = () => {\n        gl.stencilOp(gl.KEEP, gl.KEEP, gl.REPLACE);\n        gl.stencilFunc(gl.ALWAYS, 1, 0xff);\n        gl.stencilMask(0xff);\n    };\n    const applyPreviewStencil = () => {\n        gl.stencilFunc(gl.EQUAL, 1, 0xff);\n        gl.stencilMask(0x00);\n    };\n    const disablePreviewStencil = () => {\n        gl.stencilOp(gl.KEEP, gl.KEEP, gl.KEEP);\n        gl.stencilFunc(gl.ALWAYS, 1, 0xff);\n        gl.stencilMask(0xff);\n    };\n    // fov is fixed\n    const FOV = degToRad(30);\n    const FOV_TAN_HALF = Math.tan(FOV / 2);\n    // get gl drawing context\n    const gl = getWebGLContext(canvas, {\n        alpha,\n        antialias: false,\n        premultipliedAlpha: true,\n        stencil: true,\n    });\n    // no drawing context received, exit\n    if (!gl)\n        return;\n    // enable derivatives\n    gl.getExtension('OES_standard_derivatives');\n    // toggle gl settings\n    gl.disable(gl.DEPTH_TEST);\n    // need stencil to draw overlay on preview only\n    gl.enable(gl.STENCIL_TEST);\n    // set blend mode, we need it for alpha blending\n    gl.enable(gl.BLEND);\n    /*\n    https://webglfundamentals.org/webgl/lessons/webgl-and-alpha.html\n    most if not all Canvas 2D implementations work with pre-multiplied alpha.\n    That means when you transfer them to WebGL and UNPACK_PREMULTIPLY_ALPHA_WEBGL\n    is false WebGL will convert them back to un-premultipiled.\n    With pre-multiplied alpha on, [1, .5, .5, 0] does not exist, it's always [0, 0, 0, 0]\n    */\n    gl.blendFunc(gl.ONE, gl.ONE_MINUS_SRC_ALPHA);\n    gl.pixelStorei(gl.UNPACK_PREMULTIPLY_ALPHA_WEBGL, !alpha && isFirefox() ? false : true);\n    // something to look into:\n    // gl.UNPACK_COLORSPACE_CONVERSION_WEBGL\n    // stencil test always passes\n    disablePreviewStencil();\n    // let's create textures\n    const transparentTexture = gl.createTexture();\n    gl.bindTexture(gl.TEXTURE_2D, transparentTexture);\n    gl.texImage2D(gl.TEXTURE_2D, 0, gl.RGBA, 1, // width\n    1, // height\n    0, gl.RGBA, gl.UNSIGNED_BYTE, new Uint8Array(COLOR_TRANSPARENT) // transparent background\n    );\n    indexTextureMap.set(TEXTURE_TRANSPARENT_INDEX, transparentTexture);\n    // create image markup texture and framebuffer\n    const imageOverlayTexture = gl.createTexture();\n    indexTextureMap.set(TEXTURE_PREVIEW_OVERLAY_INDEX, imageOverlayTexture);\n    const overlayFramebuffer = gl.createFramebuffer();\n    // create image blend texture and framebuffer\n    const imageBlendTexture = gl.createTexture();\n    indexTextureMap.set(TEXTURE_PREVIEW_BLEND_INDEX, imageBlendTexture);\n    const blendFramebuffer = gl.createFramebuffer();\n    // #region image\n    // create default pixel drawing program, supports what we need\n    const imageShader = createShader(gl, imageVertexShader, imageFragmentShader, ['aPosition', 'aTexCoord'], [\n        'uMatrix',\n        'uTexture',\n        'uTextureBlend',\n        'uTextureOverlay',\n        'uTextureSize',\n        'uColorGamma',\n        'uColorVignette',\n        'uColorOffset',\n        'uColorMatrix',\n        'uClarityKernel',\n        'uClarityKernelWeight',\n        'uOpacity',\n        'uMaskOpacity',\n        'uMaskBounds',\n        'uMaskCornerRadius',\n        'uMaskFeather',\n        'uOverlayColor',\n        'uAntialias',\n    ]);\n    // create image buffers\n    const imagePositionsBuffer = gl.createBuffer();\n    const texturePositionsBuffer = gl.createBuffer();\n    gl.bindBuffer(gl.ARRAY_BUFFER, texturePositionsBuffer);\n    gl.bufferData(gl.ARRAY_BUFFER, RECT_UV, gl.STATIC_DRAW);\n    // BROWSER BUG FIX: here to fix firefox video texture rotation issue\n    const texturePositionsRotatedBuffer = gl.createBuffer();\n    gl.bindBuffer(gl.ARRAY_BUFFER, texturePositionsRotatedBuffer);\n    gl.bufferData(gl.ARRAY_BUFFER, RECT_UV_ROTATED, gl.STATIC_DRAW);\n    const drawImage = (texture, textureSize, originX, originY, translateX, translateY, rotateX, rotateY, rotateZ, scale, colorMatrix = COLOR_MATRIX_IDENTITY$1, opacity = 1, clarity, gamma = 1, vignette = 0, maskFeather = IMAGE_MASK_FEATHER, maskCornerRadius = NO_CORNERS, imageOverlayColor = COLOR_TRANSPARENT, enableOverlay = false, enableBlend = false, enableAntialiasing = true) => {\n        // update image texture\n        const imageWidth = textureSize.width * viewPixelDensity;\n        const imageHeight = textureSize.height * viewPixelDensity;\n        const l = imageWidth * -0.5;\n        const t = imageHeight * 0.5;\n        const r = imageWidth * 0.5;\n        const b = imageHeight * -0.5;\n        // prettier-ignore\n        // B   D\n        // | \\ |\n        // A  C\n        const imagePositions = new Float32Array([\n            l, b, 0,\n            l, t, 0,\n            r, b, 0,\n            r, t, 0, // D\n        ]);\n        gl.bindBuffer(gl.ARRAY_BUFFER, imagePositionsBuffer);\n        gl.bufferData(gl.ARRAY_BUFFER, imagePositions, gl.STATIC_DRAW);\n        // move image backwards so it's presented in actual pixel size\n        const viewZ = // 1. we calculate the z offset required to have the\n         \n        //    image height match the view height\n        /*        /|\n                 / |\n                /  | height / 2\n               /   |\n        f / 2 /__z_|\n              \\    |\n               \\   |\n                \\  |\n                 \\ |\n                  \\|\n        */\n        (textureSize.height / 2 / FOV_TAN_HALF) *\n            // 2. we want to render the image at the actual height, viewsize / height gets us results in a 1:1 presentation\n            (viewSize.height / textureSize.height) *\n            // 3. z has to be negative, therefor multiply by -1\n            -1;\n        // convert to pixel density\n        translateX *= viewPixelDensity;\n        translateY *= viewPixelDensity;\n        originX *= viewPixelDensity;\n        originY *= viewPixelDensity;\n        // get shader params\n        const { program, locations } = imageShader;\n        // apply\n        const matrix = mat4Create();\n        mat4Perspective(matrix, FOV, viewAspectRatio, 1, -viewZ * 2);\n        // move image\n        mat4Translate(matrix, translateX, -translateY, viewZ);\n        // set rotation origin in view\n        mat4Translate(matrix, originX, -originY, 0);\n        // rotate image\n        mat4RotateZ(matrix, -rotateZ);\n        // resize\n        mat4Scale(matrix, scale);\n        // reset rotation origin\n        mat4Translate(matrix, -originX, originY, 0);\n        // flip\n        mat4RotateY(matrix, rotateY);\n        mat4RotateX(matrix, rotateX);\n        //\n        // tell context to draw preview\n        //\n        gl.useProgram(program);\n        gl.enableVertexAttribArray(locations.aPosition);\n        gl.enableVertexAttribArray(locations.aTexCoord);\n        // set up texture\n        gl.uniform1i(locations.uTexture, TEXTURE_PREVIEW_INDEX);\n        gl.uniform2f(locations.uTextureSize, textureSize.width, textureSize.height);\n        gl.activeTexture(gl.TEXTURE0 + TEXTURE_PREVIEW_INDEX);\n        gl.bindTexture(gl.TEXTURE_2D, texture);\n        // set up blend texture\n        const blendTextureIndex = enableBlend\n            ? TEXTURE_PREVIEW_BLEND_INDEX\n            : TEXTURE_TRANSPARENT_INDEX;\n        const blendTexture = indexTextureMap.get(blendTextureIndex);\n        gl.uniform1i(locations.uTextureBlend, blendTextureIndex);\n        gl.activeTexture(gl.TEXTURE0 + blendTextureIndex);\n        gl.bindTexture(gl.TEXTURE_2D, blendTexture);\n        // set up markup texture\n        const overlayTextureIndex = enableOverlay\n            ? TEXTURE_PREVIEW_OVERLAY_INDEX\n            : TEXTURE_TRANSPARENT_INDEX;\n        const overlayTexture = indexTextureMap.get(overlayTextureIndex);\n        gl.uniform1i(locations.uTextureOverlay, overlayTextureIndex);\n        gl.activeTexture(gl.TEXTURE0 + overlayTextureIndex);\n        gl.bindTexture(gl.TEXTURE_2D, overlayTexture);\n        // set up buffers\n        gl.bindBuffer(gl.ARRAY_BUFFER, imagePositionsBuffer);\n        gl.vertexAttribPointer(locations.aPosition, 3, gl.FLOAT, false, 0, 0);\n        // BROWSER BUG FIX: Here to fix Firefox bug with rotated video textures\n        const rotateUV = SHOULD_APPLY_ROTATED_UV_TO_VIDEO_TEXTURES && textureIsRotatedVideo(texture);\n        gl.bindBuffer(gl.ARRAY_BUFFER, rotateUV ? texturePositionsRotatedBuffer : texturePositionsBuffer);\n        gl.vertexAttribPointer(locations.aTexCoord, 2, gl.FLOAT, false, 0, 0);\n        // update matrix\n        gl.uniformMatrix4fv(locations.uMatrix, false, matrix);\n        // overlay color\n        gl.uniform4fv(locations.uOverlayColor, imageOverlayColor);\n        // convolution\n        let clarityWeight;\n        if (!clarity || arrayEqual(clarity, CLARITY_IDENTITY)) {\n            clarity = CLARITY_IDENTITY;\n            clarityWeight = -1;\n        }\n        else {\n            clarityWeight = clarity.reduce((prev, curr) => prev + curr, 0);\n            clarityWeight = clarityWeight <= 0 ? 1 : clarityWeight;\n        }\n        gl.uniform1fv(locations.uClarityKernel, clarity);\n        gl.uniform1f(locations.uClarityKernelWeight, clarityWeight);\n        gl.uniform1f(locations.uColorGamma, 1.0 / gamma);\n        gl.uniform1f(locations.uColorVignette, vignette);\n        gl.uniform1i(locations.uAntialias, enableAntialiasing ? 1 : 0);\n        // set color matrix values\n        gl.uniform4f(locations.uColorOffset, colorMatrix[4], colorMatrix[9], colorMatrix[14], colorMatrix[19]);\n        gl.uniformMatrix4fv(locations.uColorMatrix, false, [\n            colorMatrix[0],\n            colorMatrix[1],\n            colorMatrix[2],\n            colorMatrix[3],\n            colorMatrix[5],\n            colorMatrix[6],\n            colorMatrix[7],\n            colorMatrix[8],\n            colorMatrix[10],\n            colorMatrix[11],\n            colorMatrix[12],\n            colorMatrix[13],\n            colorMatrix[15],\n            colorMatrix[16],\n            colorMatrix[17],\n            colorMatrix[18],\n        ]);\n        // opacity level\n        gl.uniform1f(locations.uOpacity, opacity);\n        // mask\n        gl.uniform1f(locations.uMaskOpacity, maskOpacity);\n        gl.uniform1fv(locations.uMaskBounds, maskBounds);\n        gl.uniform1fv(locations.uMaskCornerRadius, maskCornerRadius.map((v) => v * viewPixelDensity));\n        gl.uniform1fv(locations.uMaskFeather, maskFeather.map((v, i) => (i % 2 === 0 ? v : v * viewPixelDensity)));\n        gl.drawArrays(gl.TRIANGLE_STRIP, 0, 4);\n        gl.disableVertexAttribArray(locations.aPosition);\n        gl.disableVertexAttribArray(locations.aTexCoord);\n    };\n    //#endregion\n    // #region path\n    const pathShader = createShader(gl, pathVertexShader, pathFragmentShader, ['aPosition', 'aNormal', 'aMiter'], ['uColor', 'uCanvasColor', 'uMatrix', 'uWidth', 'uSharpness', 'uMaskBounds', 'uMaskOpacity']);\n    const pathBuffer = gl.createBuffer();\n    // this fixes a render issue with Chrome 113 (#1176)\n    // issue was that a line is drawn from crop corner to top left\n    if (isChrome()) {\n        gl.bindBuffer(gl.ARRAY_BUFFER, pathBuffer);\n        gl.bufferData(gl.ARRAY_BUFFER, 1, gl.DYNAMIC_DRAW);\n    }\n    const strokePath = (points, width, color, close = false) => {\n        const { program, locations } = pathShader;\n        gl.useProgram(program);\n        gl.enableVertexAttribArray(locations.aPosition);\n        gl.enableVertexAttribArray(locations.aNormal);\n        gl.enableVertexAttribArray(locations.aMiter);\n        const vertices = createPathVertices(points, close);\n        const stride = Float32Array.BYTES_PER_ELEMENT * 5;\n        const normalOffset = Float32Array.BYTES_PER_ELEMENT * 2; // at position 2\n        const miterOffset = Float32Array.BYTES_PER_ELEMENT * 4; // at position 4\n        gl.uniform1f(locations.uWidth, width);\n        gl.uniform1f(locations.uSharpness, pathSharpness);\n        gl.uniform4fv(locations.uColor, color);\n        gl.uniformMatrix4fv(locations.uMatrix, false, overlayMatrix);\n        gl.uniform4f(locations.uCanvasColor, CANVAS_COLOR_R, CANVAS_COLOR_G, CANVAS_COLOR_B, CANVAS_COLOR_A);\n        gl.uniform1fv(locations.uMaskBounds, maskBounds);\n        gl.uniform1f(locations.uMaskOpacity, maskOpacity);\n        gl.bindBuffer(gl.ARRAY_BUFFER, pathBuffer);\n        gl.bufferData(gl.ARRAY_BUFFER, vertices, gl.STATIC_DRAW);\n        gl.vertexAttribPointer(locations.aPosition, 2, gl.FLOAT, false, stride, 0);\n        gl.vertexAttribPointer(locations.aNormal, 2, gl.FLOAT, false, stride, normalOffset);\n        gl.vertexAttribPointer(locations.aMiter, 1, gl.FLOAT, false, stride, miterOffset);\n        gl.drawArrays(gl.TRIANGLE_STRIP, 0, vertices.length / 5);\n        gl.disableVertexAttribArray(locations.aPosition);\n        gl.disableVertexAttribArray(locations.aNormal);\n        gl.disableVertexAttribArray(locations.aMiter);\n    };\n    //#endregion\n    // #region triangle\n    const triangleShader = createShader(gl, triangleVertexShader, triangleFragmentShader, ['aPosition'], ['uColor', 'uCanvasColor', 'uMatrix', 'uMaskBounds', 'uMaskOpacity']);\n    const trianglesBuffer = gl.createBuffer();\n    const fillTriangles = (vertices, backgroundColor) => {\n        const { program, locations } = triangleShader;\n        gl.useProgram(program);\n        gl.enableVertexAttribArray(locations.aPosition);\n        gl.uniform4fv(locations.uColor, backgroundColor);\n        gl.uniformMatrix4fv(locations.uMatrix, false, overlayMatrix);\n        gl.uniform1fv(locations.uMaskBounds, maskBounds);\n        gl.uniform1f(locations.uMaskOpacity, maskOpacity);\n        gl.uniform4f(locations.uCanvasColor, CANVAS_COLOR_R, CANVAS_COLOR_G, CANVAS_COLOR_B, CANVAS_COLOR_A);\n        gl.bindBuffer(gl.ARRAY_BUFFER, trianglesBuffer);\n        gl.bufferData(gl.ARRAY_BUFFER, vertices, gl.STATIC_DRAW);\n        gl.vertexAttribPointer(locations.aPosition, 2, gl.FLOAT, false, 0, 0);\n        gl.drawArrays(gl.TRIANGLES, 0, vertices.length / 2);\n        gl.disableVertexAttribArray(locations.aPosition);\n        return vertices;\n    };\n    // const fillTriangles: (vertices: Float32Array, backgroundColor: number[]) => {};\n    //#endregion\n    // #region rect\n    const rectShaderAttributes = ['aPosition', 'aTexCoord', 'aRectCoord'];\n    const rectShaderUniforms = [\n        'uTexture',\n        'uColor',\n        'uMatrix',\n        'uCanvasColor',\n        'uTextureColor',\n        'uTextureOpacity',\n        'uRepeat',\n        'uPosition',\n        'uSize',\n        'uMaskBounds',\n        'uMaskOpacity',\n        'uMaskFeather',\n        'uCornerRadius',\n        'uInverted',\n    ];\n    const rectShader = createShader(gl, rectVertexShader, rectFragmentShader, rectShaderAttributes, rectShaderUniforms);\n    const rectBuffer = gl.createBuffer();\n    const rectTextureBuffer = gl.createBuffer();\n    const rectCornerBuffer = gl.createBuffer();\n    const fillRect = (vertices, width, height, cornerRadius, backgroundColor, backgroundImage = transparentTexture, backgroundRepeat, opacity = 1.0, colorFilter = COLOR_TRANSPARENT, uv = RECT_UV, maskFeather = RECT_MASK_FEATHER, inverted) => {\n        const { program, locations } = rectShader;\n        gl.useProgram(program);\n        gl.enableVertexAttribArray(locations.aPosition);\n        gl.enableVertexAttribArray(locations.aTexCoord);\n        gl.enableVertexAttribArray(locations.aRectCoord);\n        gl.uniform4fv(locations.uColor, backgroundColor);\n        gl.uniform2fv(locations.uSize, [width, height]);\n        gl.uniform2fv(locations.uPosition, [vertices[2], vertices[3]]);\n        gl.uniform2fv(locations.uRepeat, backgroundRepeat);\n        gl.uniform1i(locations.uInverted, inverted ? 1 : 0);\n        gl.uniform1fv(locations.uCornerRadius, cornerRadius);\n        gl.uniform4f(locations.uCanvasColor, CANVAS_COLOR_R, CANVAS_COLOR_G, CANVAS_COLOR_B, CANVAS_COLOR_A);\n        // mask\n        gl.uniform1fv(locations.uMaskFeather, maskFeather.map((v, i) => (i % 2 === 0 ? v : v * viewPixelDensity)));\n        gl.uniform1fv(locations.uMaskBounds, maskBounds);\n        gl.uniform1f(locations.uMaskOpacity, maskOpacity);\n        gl.uniformMatrix4fv(locations.uMatrix, false, overlayMatrix);\n        gl.uniform1i(locations.uTexture, TEXTURE_SHAPE_INDEX);\n        gl.uniform4fv(locations.uTextureColor, colorFilter);\n        gl.uniform1f(locations.uTextureOpacity, opacity);\n        gl.activeTexture(gl.TEXTURE0 + TEXTURE_SHAPE_INDEX);\n        gl.bindTexture(gl.TEXTURE_2D, backgroundImage);\n        gl.bindBuffer(gl.ARRAY_BUFFER, rectTextureBuffer);\n        gl.bufferData(gl.ARRAY_BUFFER, uv, gl.STATIC_DRAW);\n        gl.vertexAttribPointer(locations.aTexCoord, 2, gl.FLOAT, false, 0, 0);\n        // we use these coordinates combined with the size of the rect to interpolate and alias edges\n        gl.bindBuffer(gl.ARRAY_BUFFER, rectCornerBuffer);\n        gl.bufferData(gl.ARRAY_BUFFER, RECT_UV, gl.STATIC_DRAW);\n        gl.vertexAttribPointer(locations.aRectCoord, 2, gl.FLOAT, false, 0, 0);\n        gl.bindBuffer(gl.ARRAY_BUFFER, rectBuffer);\n        gl.bufferData(gl.ARRAY_BUFFER, vertices, gl.STATIC_DRAW);\n        gl.vertexAttribPointer(locations.aPosition, 2, gl.FLOAT, false, 0, 0);\n        gl.drawArrays(gl.TRIANGLE_STRIP, 0, vertices.length / 2);\n        gl.disableVertexAttribArray(locations.aPosition);\n        gl.disableVertexAttribArray(locations.aTexCoord);\n        gl.disableVertexAttribArray(locations.aRectCoord);\n        return vertices;\n    };\n    //#endregion\n    // #region ellipse\n    const ellipseShader = createShader(gl, ellipseVertexShader, ellipseFragmentShader, ['aPosition', 'aTexCoord'], [\n        'uTexture',\n        'uTextureOpacity',\n        'uRepeat',\n        'uColor',\n        'uCanvasColor',\n        'uMatrix',\n        'uRadius',\n        'uInverted',\n        'uMaskBounds',\n        'uMaskOpacity',\n    ]);\n    const ellipseBuffer = gl.createBuffer();\n    const ellipseTextureBuffer = gl.createBuffer();\n    const fillEllipse = (vertices, width, height, backgroundColor, backgroundImage = transparentTexture, uv = RECT_UV, opacity = 1.0, inverted = false) => {\n        const { program, locations } = ellipseShader;\n        gl.useProgram(program);\n        gl.enableVertexAttribArray(locations.aPosition);\n        gl.enableVertexAttribArray(locations.aTexCoord);\n        gl.uniformMatrix4fv(locations.uMatrix, false, overlayMatrix);\n        gl.uniform2fv(locations.uRadius, [width * 0.5, height * 0.5]);\n        gl.uniform1i(locations.uInverted, inverted ? 1 : 0);\n        gl.uniform4fv(locations.uColor, backgroundColor);\n        gl.uniform4f(locations.uCanvasColor, CANVAS_COLOR_R, CANVAS_COLOR_G, CANVAS_COLOR_B, CANVAS_COLOR_A);\n        gl.uniform2fv(locations.uRepeat, [1, 1]);\n        gl.uniform1fv(locations.uMaskBounds, maskBounds);\n        gl.uniform1f(locations.uMaskOpacity, maskOpacity);\n        gl.uniform1i(locations.uTexture, TEXTURE_SHAPE_INDEX);\n        gl.uniform1f(locations.uTextureOpacity, opacity);\n        gl.activeTexture(gl.TEXTURE0 + TEXTURE_SHAPE_INDEX);\n        gl.bindTexture(gl.TEXTURE_2D, backgroundImage);\n        gl.bindBuffer(gl.ARRAY_BUFFER, ellipseTextureBuffer);\n        gl.bufferData(gl.ARRAY_BUFFER, uv, gl.STATIC_DRAW);\n        gl.vertexAttribPointer(locations.aTexCoord, 2, gl.FLOAT, false, 0, 0);\n        gl.bindBuffer(gl.ARRAY_BUFFER, ellipseBuffer);\n        gl.bufferData(gl.ARRAY_BUFFER, vertices, gl.STATIC_DRAW);\n        gl.vertexAttribPointer(locations.aPosition, 2, gl.FLOAT, false, 0, 0);\n        gl.drawArrays(gl.TRIANGLE_STRIP, 0, vertices.length / 2);\n        gl.disableVertexAttribArray(locations.aPosition);\n        gl.disableVertexAttribArray(locations.aTexCoord);\n    };\n    //#endregion\n    //\n    // draw calls\n    //\n    const drawPath = (points, rotation = 0, // not implemented yet\n    flipX = false, // not implemented yet\n    flipY = false, // not implemented yet\n    strokeWidth, strokeColor, strokeClose, backgroundColor, opacity) => {\n        // is no line\n        if (points.length < 2)\n            return;\n        // manipulate points\n        const computedPoints = points.map((p) => ({\n            x: p.x * viewPixelDensity,\n            y: p.y * viewPixelDensity,\n        }));\n        // const center = convexPolyCentroid(clonedPoints);\n        // if (flipX || flipY) vectorsFlip(clonedPoints, flipX, flipY, center.x, center.y);\n        // if (rotation !== 0) vectorsRotate(clonedPoints, rotation, center.x, center.y);\n        const computedStrokeWidth = strokeWidth * viewPixelDensity;\n        // stroke\n        if (computedStrokeWidth > 0)\n            strokePath(computedPoints, computedStrokeWidth, applyOpacity(strokeColor, opacity), strokeClose);\n        // need to fill polygon?\n        if (computedPoints.length < 3 ||\n            !backgroundColor ||\n            backgroundColor[3] === 0 ||\n            !strokeClose)\n            return;\n        const triangles = triangulate(computedPoints);\n        const vertices = new Float32Array(triangles.length * 6);\n        triangles.forEach(([a, b, c], i) => {\n            const index = i * 6;\n            vertices[index + 0] = a.x;\n            vertices[index + 1] = a.y;\n            vertices[index + 2] = b.x;\n            vertices[index + 3] = b.y;\n            vertices[index + 4] = c.x;\n            vertices[index + 5] = c.y;\n        });\n        fillTriangles(vertices, applyOpacity(backgroundColor, opacity));\n    };\n    const drawRect = (rect, rotation = 0, flipX = false, flipY = false, cornerRadius, backgroundColor, backgroundImage, backgroundSize = undefined, backgroundPosition = undefined, backgroundRepeat = false, backgroundUVMap = undefined, strokeWidth, strokeColor, opacity, maskFeather = undefined, colorize, inverted) => {\n        // clone first\n        const rectOut = rectMultiply(rectClone$1(rect), viewPixelDensity);\n        // has radius, doesn't matter for coordinates\n        const cornerRadiusOut = cornerRadius\n            .map((r) => limitCornerRadius(r || 0, rect))\n            .map((r) => r * viewPixelDensity);\n        // should fill\n        if (backgroundColor || backgroundImage) {\n            // adjust for edge anti-aliasing, if we don't do this the\n            // visible rectangle will be 1 pixel smaller than the actual rectangle\n            const rectFill = rectClone$1(rectOut);\n            rectFill.x -= 0.5;\n            rectFill.y -= 0.5;\n            rectFill.width += 1;\n            rectFill.height += 1;\n            const points = createRectPoints(rectFill, rotation, flipX, flipY);\n            const vertices = rectPointsToVertices(points);\n            let color;\n            if (colorize) {\n                color = applyOpacity(colorize);\n                // as 0 transparancy is used to test if the colorize filter should be applied we set it to 0.001\n                if (color[3] === 0)\n                    color[3] = 0.001;\n            }\n            // calculate repeat count\n            const repeat = backgroundSize && backgroundRepeat\n                ? [\n                    rectFill.width / backgroundSize.width,\n                    rectFill.height / backgroundSize.height,\n                ]\n                : [1, 1];\n            fillRect(vertices, rectFill.width, rectFill.height, cornerRadiusOut, applyOpacity(backgroundColor, opacity), backgroundImage, repeat, opacity, color, backgroundUVMap\n                ? new Float32Array(backgroundUVMap)\n                : calculateBackgroundUVMap(rectFill.width, rectFill.height, backgroundSize, backgroundPosition, viewPixelDensity), maskFeather, inverted);\n        }\n        // should draw outline\n        if (strokeWidth) {\n            // fixes issue where stroke would render weirdly\n            strokeWidth = Math.min(strokeWidth, rectOut.width, rectOut.height);\n            strokePath(\n            // rect out is already multiplied by pixel density\n            createRectOutline(rectOut.x, rectOut.y, rectOut.width, rectOut.height, rotation, cornerRadiusOut, flipX, flipY), strokeWidth * viewPixelDensity, applyOpacity(strokeColor, opacity), true);\n        }\n    };\n    const drawEllipse = (center, rx, ry, rotation, flipX, flipY, backgroundColor, backgroundImage, backgroundSize = undefined, backgroundPosition = undefined, backgroundUVMap = undefined, strokeWidth, strokeColor, opacity, inverted) => {\n        const rectOut = rectMultiply(rectCreate(center.x - rx, center.y - ry, rx * 2, ry * 2), viewPixelDensity);\n        if (backgroundColor || backgroundImage) {\n            // adjust for edge anti-aliasing, if we don't do this the\n            // visible rectangle will be 1 pixel smaller than the actual rectangle\n            const rectFill = rectClone$1(rectOut);\n            rectFill.x -= 0.5;\n            rectFill.y -= 0.5;\n            rectFill.width += 1.0;\n            rectFill.height += 1.0;\n            const points = createRectPoints(rectFill, rotation, flipX, flipY);\n            const vertices = rectPointsToVertices(points);\n            fillEllipse(vertices, rectFill.width, rectFill.height, applyOpacity(backgroundColor, opacity), backgroundImage, backgroundUVMap\n                ? new Float32Array(backgroundUVMap)\n                : calculateBackgroundUVMap(rectFill.width, rectFill.height, backgroundSize, backgroundPosition, viewPixelDensity), opacity, inverted);\n        }\n        if (strokeWidth)\n            strokePath(\n            // rect out is already multiplied by pixeldensity\n            createEllipseOutline(rectOut.x, rectOut.y, rectOut.width, rectOut.height, rotation, flipX, flipY), strokeWidth * viewPixelDensity, applyOpacity(strokeColor, opacity), true);\n    };\n    //#endregion\n    const glTextures = new Map();\n    const imageFramebufferSize = {};\n    imageFramebufferSize[TEXTURE_PREVIEW_OVERLAY_INDEX] = { width: 0, height: 0 };\n    imageFramebufferSize[TEXTURE_PREVIEW_BLEND_INDEX] = { width: 0, height: 0 };\n    const imageFrameBufferMaxSize = 4096;\n    const drawToImageFramebuffer = (index, buffer, imageSize, pixelDensity = 1) => {\n        const textureScalar = Math.min(Math.min(imageFrameBufferMaxSize, textureSizeLimit) / imageSize.width, Math.min(imageFrameBufferMaxSize, textureSizeLimit) / imageSize.height, pixelDensity);\n        const textureWidth = Math.floor(textureScalar * imageSize.width);\n        const textureHeight = Math.floor(textureScalar * imageSize.height);\n        if (!sizeEqual(imageSize, imageFramebufferSize[index])) {\n            // update preview markup texture\n            gl.bindTexture(gl.TEXTURE_2D, indexTextureMap.get(index));\n            gl.texImage2D(gl.TEXTURE_2D, 0, gl.RGBA, textureWidth, textureHeight, 0, gl.RGBA, gl.UNSIGNED_BYTE, null);\n            // set the filtering, we don't need mips\n            gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MIN_FILTER, gl.LINEAR);\n            gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_S, gl.CLAMP_TO_EDGE);\n            gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_T, gl.CLAMP_TO_EDGE);\n            gl.bindFramebuffer(gl.FRAMEBUFFER, buffer);\n            gl.framebufferTexture2D(gl.FRAMEBUFFER, gl.COLOR_ATTACHMENT0, gl.TEXTURE_2D, indexTextureMap.get(index), 0);\n            // remember so we know when to update the framebuffer\n            imageFramebufferSize[index] = imageSize;\n        }\n        else {\n            gl.bindFramebuffer(gl.FRAMEBUFFER, buffer);\n        }\n        // switch transformMatrix\n        const w = imageSize.width * viewPixelDensity;\n        const h = imageSize.height * viewPixelDensity;\n        mat4Ortho(imageFrameBuffer, 0, w, h, 0, -1, 1);\n        mat4Translate(imageFrameBuffer, 0, h, 0);\n        mat4ScaleX(imageFrameBuffer, 1);\n        mat4ScaleY(imageFrameBuffer, -1);\n        overlayMatrix = imageFrameBuffer;\n        // framebuffer lives in image space\n        gl.viewport(0, 0, textureWidth, textureHeight);\n        // always transparent\n        gl.colorMask(true, true, true, true);\n        gl.clearColor(0, 0, 0, 0);\n        gl.clear(gl.COLOR_BUFFER_BIT);\n        // update rect mask\n        RECT_MASK_FEATHER = [\n            1,\n            0,\n            1,\n            0,\n            1,\n            Math.max(viewSize.width, imageSize.width),\n            1,\n            Math.max(viewSize.width, imageSize.width),\n        ];\n    };\n    const textureDelete = (texture, options) => {\n        const { forceRelease = false } = options || {};\n        const { src } = glTextures.get(texture);\n        // need to force release canvas elements when they're no longer used\n        if (src instanceof HTMLCanvasElement) {\n            if (!forceRelease && !src.dataset.retain) {\n                releaseCanvas(src);\n            }\n        }\n        glTextures.delete(texture);\n        gl.deleteTexture(texture);\n    };\n    const resetCanvasMatrix = () => {\n        mat4Ortho(overlayMatrixCanvas, 0, viewSize.width, viewSize.height, 0, -1, 1);\n    };\n    const textureIsRotatedVideo = (texture) => glTextures.get(texture).isRotatedVideo;\n    return {\n        // draw api\n        drawPath,\n        drawRect,\n        drawEllipse,\n        drawImage,\n        // texture filters\n        textureFilterNearest: gl.NEAREST,\n        textureFilterLinear: gl.LINEAR,\n        textureClamp: gl.CLAMP_TO_EDGE,\n        textureRepeat: gl.REPEAT,\n        //#region texture management\n        textureCreate: () => {\n            return gl.createTexture();\n        },\n        textureUpdate: (texture, source, options) => {\n            glTextures.set(texture, {\n                src: source,\n                options,\n                isRotatedVideo: source.nodeName === 'VIDEO' &&\n                    ((source.dataset && source.dataset.rotation == 90) ||\n                        source.dataset.rotation == 270),\n            });\n            return updateTexture(gl, texture, source, options);\n        },\n        textureGetSize: (texture) => {\n            const { src, options } = glTextures.get(texture);\n            const size = sizeCreateFromAny(src);\n            if (options.scalar)\n                return sizeApply(size, (v) => v / options.scalar);\n            return size;\n        },\n        textureDelete,\n        //#endregion\n        enablePreviewStencil,\n        applyPreviewStencil,\n        disablePreviewStencil,\n        setCanvasColor(color) {\n            CANVAS_COLOR_R = color[0];\n            CANVAS_COLOR_G = color[1];\n            CANVAS_COLOR_B = color[2];\n            CANVAS_COLOR_A = alpha ? color[3] : 1;\n            gl.clear(gl.COLOR_BUFFER_BIT);\n        },\n        resetCanvasMatrix,\n        updateCanvasMatrix(imageSize, origin, translation, scale, rotate) {\n            const imageWidth = imageSize.width;\n            const imageHeight = imageSize.height;\n            const originX = viewSize.width * (0.5 / viewPixelDensity);\n            const originY = viewSize.height * (0.5 / viewPixelDensity);\n            const imageOrigin = {\n                x: originX + (translation.x + origin.x),\n                y: originY + (translation.y + origin.y),\n            };\n            const imageVisualCenter = {\n                x: imageOrigin.x - origin.x,\n                y: imageOrigin.y - origin.y,\n            };\n            const imageAbsoluteCenter = {\n                x: imageWidth * 0.5,\n                y: imageHeight * 0.5,\n            };\n            vectorRotate(imageVisualCenter, rotate.z, imageOrigin);\n            vectorScale(imageVisualCenter, scale, imageOrigin);\n            const imageTranslation = {\n                x: imageVisualCenter.x - imageAbsoluteCenter.x,\n                y: imageVisualCenter.y - imageAbsoluteCenter.y,\n            };\n            mat4Translate(overlayMatrixCanvas, imageTranslation.x * viewPixelDensity, imageTranslation.y * viewPixelDensity, 0);\n            // we apply transforms from center of image\n            mat4Translate(overlayMatrixCanvas, imageAbsoluteCenter.x * viewPixelDensity, imageAbsoluteCenter.y * viewPixelDensity, 0);\n            mat4RotateZ(overlayMatrixCanvas, rotate.z);\n            const flipX = rotate.x > Math.PI / 2;\n            mat4RotateX(overlayMatrixCanvas, flipX ? Math.PI : 0);\n            const flipY = rotate.y > Math.PI / 2;\n            mat4RotateY(overlayMatrixCanvas, flipY ? Math.PI : 0);\n            mat4Scale(overlayMatrixCanvas, scale);\n            mat4Translate(overlayMatrixCanvas, -imageAbsoluteCenter.x * viewPixelDensity, -imageAbsoluteCenter.y * viewPixelDensity, 0);\n        },\n        drawToCanvas() {\n            gl.bindFramebuffer(gl.FRAMEBUFFER, null);\n            // switch transformMatrix\n            overlayMatrix = overlayMatrixCanvas;\n            // tell webgl about the viewport\n            gl.viewport(0, 0, gl.drawingBufferWidth, gl.drawingBufferHeight);\n            // black (or other color depending on background)\n            gl.colorMask(true, true, true, true);\n            gl.clearColor(CANVAS_COLOR_R, CANVAS_COLOR_G, CANVAS_COLOR_B, CANVAS_COLOR_A);\n            // gl.clearColor(0.25, 0.25, 0.25, 1); // for debugging\n            gl.clear(gl.COLOR_BUFFER_BIT);\n            // update rect mask\n            RECT_MASK_FEATHER = [1, 0, 1, 0, 1, viewSize.width, 1, viewSize.width];\n        },\n        drawToImageBlendBuffer(imageSize, pixelDensity) {\n            drawToImageFramebuffer(TEXTURE_PREVIEW_BLEND_INDEX, blendFramebuffer, imageSize, pixelDensity);\n        },\n        drawToImageOverlayBuffer(imageSize, pixelDensity) {\n            drawToImageFramebuffer(TEXTURE_PREVIEW_OVERLAY_INDEX, overlayFramebuffer, imageSize, pixelDensity);\n        },\n        // set mask\n        enableMask(rect, opacity) {\n            const maskX = rect.x * viewPixelDensity;\n            const maskY = rect.y * viewPixelDensity;\n            const maskWidth = rect.width * viewPixelDensity;\n            const maskHeight = rect.height * viewPixelDensity;\n            maskLeft = maskX;\n            maskRight = maskLeft + maskWidth;\n            maskTop = viewSize.height - maskY;\n            maskBottom = viewSize.height - (maskY + maskHeight);\n            maskOpacity = 1.0 - opacity;\n            maskBounds = [maskTop, maskRight, maskBottom, maskLeft];\n        },\n        disableMask() {\n            maskLeft = 0;\n            maskRight = viewSize.width;\n            maskTop = viewSize.height;\n            maskBottom = 0;\n            maskOpacity = 1;\n            maskBounds = [maskTop, maskRight, maskBottom, maskLeft];\n        },\n        // canvas\n        resize,\n        release() {\n            // remove all stored textures\n            const textures = Array.from(glTextures.keys());\n            textures.forEach((texture) => textureDelete(texture, { forceRelease: true }));\n            glTextures.clear();\n            // remove indexed textures\n            indexTextureMap.forEach((texture) => {\n                gl.deleteTexture(texture);\n            });\n            indexTextureMap.clear();\n            // clean up shaders\n            imageShader.destroy();\n            pathShader.destroy();\n            triangleShader.destroy();\n            rectShader.destroy();\n            ellipseShader.destroy();\n            // clear canvas\n            canvas.width = 1;\n            canvas.height = 1;\n            canvas = undefined;\n        },\n    };\n};\n\nvar numberToEven = (n) => (n % 2 == 0 ? n : n + 1);\n\n// quickly reads canvas data to editor state, replaces createDefaultImageReader\nconst createCanvasReader = () => {\n    return [\n        [\n            async (state, options, onprogress) => {\n                const { src } = state;\n                const width = parseInt(src.width, 10);\n                const height = parseInt(src.height, 10);\n                const dest = await canvasToBlob(src);\n                return {\n                    ...state,\n                    dest,\n                    size: {\n                        width,\n                        height,\n                    },\n                };\n            },\n            'read-canvas',\n        ],\n    ];\n};\nvar imageStateToCanvas = (src, imageState, options) => {\n    const { targetCanvas, targetSize, disableDraw = false, shapePreprocessor } = options || {};\n    const canvas = targetCanvas || document.createElement('canvas');\n    const { crop, colorMatrix, convolutionMatrix } = imageState;\n    const isVideoSrc = isVideoElement(src);\n    const srcSize = {\n        width: isVideoSrc ? src.videoWidth : src.width,\n        height: isVideoSrc ? src.videoHeight : src.height,\n    };\n    // calculate target bounds dimensions\n    const { upscale = false, fit = 'contain', width: targetWidth, height: targetHeight, } = targetSize || {};\n    // scale canvas\n    let canvasScalar = 1;\n    if (fit === 'contain') {\n        canvasScalar = Math.min((targetWidth || Number.MAX_SAFE_INTEGER) / crop.width, (targetHeight || Number.MAX_SAFE_INTEGER) / crop.height);\n    }\n    else if (fit === 'cover') {\n        canvasScalar = Math.max((targetWidth || crop.width) / crop.width, (targetHeight || crop.height) / crop.height);\n    }\n    // can't upscale, let's limit scalar to 1\n    if (!upscale)\n        canvasScalar = Math.min(canvasScalar, 1);\n    const canvasScaledWidth = Math.floor(crop.width * canvasScalar);\n    const canvasScaledHeight = Math.floor(crop.height * canvasScalar);\n    const canvasWidth = isVideoSrc ? numberToEven(canvasScaledWidth) : canvasScaledWidth;\n    const canvasHeight = isVideoSrc ? numberToEven(canvasScaledHeight) : canvasScaledHeight;\n    const glCanvas = createWebGLCanvas(canvas, { alpha: true });\n    glCanvas.resize(canvasWidth, canvasHeight, 1);\n    const glTexture = glCanvas.textureCreate();\n    glCanvas.setCanvasColor([0, 0, 0, 0]);\n    glCanvas.drawToCanvas();\n    glCanvas.disableMask();\n    glCanvas.disablePreviewStencil();\n    // color matrix\n    let computedColorMatrix;\n    {\n        const colorMatrices = Object.values(colorMatrix || {}).filter(Boolean);\n        if (colorMatrices.length)\n            computedColorMatrix = getColorMatrixFromColorMatrices(colorMatrices);\n    }\n    const canvasRect = { x: 0, y: 0, width: canvasWidth, height: canvasHeight };\n    const { origin, translation, rotation, scale } = calculateImageTransforms(canvasRect, canvasRect, srcSize, crop, {\n        x: 0,\n        y: 0,\n        width: canvasWidth,\n        height: canvasHeight,\n    }, canvasScalar, { x: 0, y: 0 }, 1, imageState.rotation, imageState.flipX, imageState.flipY);\n    const glTransforms = [\n        srcSize,\n        origin.x,\n        origin.y,\n        translation.x,\n        translation.y,\n        rotation.x,\n        rotation.y,\n        rotation.z,\n        scale,\n        computedColorMatrix,\n        1,\n        // @ts-ignore\n        convolutionMatrix && convolutionMatrix.clarity,\n        isNumber(imageState.gamma) ? imageState.gamma : 1,\n        imageState.vignette || 0,\n        [1, 0, 1, 0, 1, canvasHeight, 1, canvasWidth],\n        undefined,\n        undefined,\n        undefined,\n        undefined,\n        false,\n    ];\n    // shapes\n    let shapesOverlayDrawn = false;\n    const hasShapes = imageState.decoration.length || imageState.annotation.length;\n    const glShapeTexture = hasShapes && glCanvas.textureCreate();\n    // api\n    const updateTexture = () => {\n        glCanvas.textureUpdate(glTexture, src, {\n            filterParam: glCanvas.textureFilterLinear,\n            wrapParam: glCanvas.textureClamp,\n        });\n    };\n    const draw = () => {\n        // make sure texture is at the correct frame when it's a video\n        updateTexture();\n        // draw to the canvas\n        glCanvas.drawImage(glTexture, ...glTransforms);\n        // draw to the canvas\n        if (!hasShapes || !shapesOverlayDrawn)\n            return;\n        glCanvas.drawRect(canvasRect, 0, false, false, [0, 0, 0, 0], undefined, glShapeTexture);\n    };\n    const prepare = async () => {\n        if (!hasShapes)\n            return;\n        // draw shapes on transparent canvas that has size of input\n        const { dest } = await processImage(h('canvas', srcSize), {\n            shapePreprocessor,\n            imageReader: createCanvasReader(),\n            imageWriter: createDefaultImageWriter$1({\n                format: 'canvas',\n            }),\n            imageState: {\n                ...imageState,\n                redaction: [],\n                frame: undefined,\n                gamma: undefined,\n                convolutionMatrix: undefined,\n                colorMatrix: undefined,\n                backgroundColor: [0, 0, 0, 0],\n                backgroundImage: undefined,\n                trim: undefined,\n                vignette: undefined,\n                volume: undefined,\n            },\n        });\n        // only needs to run once\n        glCanvas.textureUpdate(glShapeTexture, dest, {\n            filterParam: glCanvas.textureFilterLinear,\n            wrapParam: glCanvas.textureClamp,\n        });\n        // now ready to draw shapes texture\n        shapesOverlayDrawn = true;\n        // first draw\n        !disableDraw && draw();\n    };\n    // load texture\n    updateTexture();\n    // first draw\n    !disableDraw && draw();\n    return {\n        canvas,\n        prepare,\n        redraw: draw,\n        destroy: () => {\n            glCanvas.release();\n        },\n    };\n};\n\nvar scrambleEffect = (options, done) => {\n    const { imageData, amount = 1 } = options;\n    const intensity = Math.round(Math.max(1, amount) * 2);\n    const range = Math.round(intensity * 0.5);\n    const inputWidth = imageData.width;\n    const inputHeight = imageData.height;\n    const outputData = new Uint8ClampedArray(inputWidth * inputHeight * 4);\n    const inputData = imageData.data;\n    let randomData;\n    let i = 0, x, y, r;\n    let xoffset = 0;\n    let yoffset = 0;\n    let index;\n    const l = inputWidth * inputHeight * 4 - 4;\n    for (y = 0; y < inputHeight; y++) {\n        randomData = crypto.getRandomValues(new Uint8ClampedArray(inputHeight));\n        for (x = 0; x < inputWidth; x++) {\n            r = randomData[y] / 255;\n            xoffset = 0;\n            yoffset = 0;\n            if (r < 0.5) {\n                xoffset = (-range + Math.round(Math.random() * intensity)) * 4;\n            }\n            if (r > 0.5) {\n                yoffset = (-range + Math.round(Math.random() * intensity)) * (inputWidth * 4);\n            }\n            // limit to image data\n            index = Math.min(Math.max(0, i + xoffset + yoffset), l);\n            outputData[i] = inputData[index];\n            outputData[i + 1] = inputData[index + 1];\n            outputData[i + 2] = inputData[index + 2];\n            outputData[i + 3] = inputData[index + 3];\n            i += 4;\n        }\n    }\n    // @ts-ignore\n    done(null, {\n        data: outputData,\n        width: imageData.width,\n        height: imageData.height,\n    });\n};\n\n// basic blur covolution matrix\nconst BLUR_MATRIX = [0.0625, 0.125, 0.0625, 0.125, 0.25, 0.125, 0.0625, 0.125, 0.0625];\nvar imageDataScramble = async (inputData, options = {}) => {\n    if (!inputData)\n        return;\n    const { width, height } = inputData;\n    const { dataSize = 96, dataSizeScalar = 1, scrambleAmount = 4, blurAmount = 6, outputFormat = 'canvas', backgroundColor = [0, 0, 0], } = options;\n    const size = Math.round(dataSize * dataSizeScalar);\n    const scalar = Math.min(size / width, size / height);\n    const outputWidth = Math.floor(width * scalar);\n    const outputHeight = Math.floor(height * scalar);\n    // draw low res preview, add margin so blur isn't transparent\n    const scaledOutputCanvas = (h('canvas', { width: outputWidth, height: outputHeight }));\n    const ctx = scaledOutputCanvas.getContext('2d', { willReadFrequently: true });\n    // fill background on transparent images\n    backgroundColor.length = 3; // prevent transparent colors\n    ctx.fillStyle = colorArrayToRGBA(backgroundColor);\n    ctx.fillRect(0, 0, outputWidth, outputHeight);\n    if (isImageData(inputData)) {\n        // temporarily draw to canvas so we can draw image data to scaled context\n        const transferCanvas = h('canvas', { width, height });\n        transferCanvas\n            .getContext('2d', { willReadFrequently: true })\n            .putImageData(inputData, 0, 0);\n        // draw to scaled context\n        ctx.drawImage(transferCanvas, 0, 0, outputWidth, outputHeight);\n        // release memory\n        releaseCanvas(transferCanvas);\n    }\n    else {\n        // bitmap data\n        ctx.drawImage(inputData, 0, 0, outputWidth, outputHeight);\n    }\n    // get scaled image data for scrambling\n    const imageData = ctx.getImageData(0, 0, outputWidth, outputHeight);\n    // filters to apply\n    const filters = [];\n    // add scramble filter\n    if (scrambleAmount > 0)\n        filters.push([scrambleEffect, { amount: scrambleAmount }]);\n    // add blur filters\n    if (blurAmount > 0)\n        for (let i = 0; i < blurAmount; i++) {\n            filters.push([convolutionEffect, { matrix: BLUR_MATRIX }]);\n        }\n    let imageDataScrambled;\n    if (filters.length) {\n        // builds effect chain\n        const chain = (transforms, i) => `(err, imageData) => {\n(${transforms[i][0].toString()})(Object.assign({ imageData: imageData }, filterInstructions[${i}]), \n${transforms[i + 1] ? chain(transforms, i + 1) : 'done'})\n}`;\n        const filterChain = `function (options, done) {\nconst filterInstructions = options.filterInstructions;\nconst imageData = options.imageData;\n(${chain(filters, 0)})(null, imageData)\n}`;\n        // scramble image data in separate thread\n        const imageDataObjectScrambled = await thread(filterChain, [\n            {\n                imageData: imageData,\n                filterInstructions: filters.map((t) => t[1]),\n            },\n        ], [imageData.data.buffer]);\n        imageDataScrambled = imageDataObjectToImageData(imageDataObjectScrambled);\n    }\n    else {\n        imageDataScrambled = imageData;\n    }\n    if (outputFormat === 'canvas') {\n        // put back scrambled data\n        ctx.putImageData(imageDataScrambled, 0, 0);\n        // return canvas\n        return scaledOutputCanvas;\n    }\n    return imageDataScrambled;\n};\n\nfunction circOut(t) {\n    return Math.sqrt(1 - --t * t);\n}\n\nfunction is_date(obj) {\n    return Object.prototype.toString.call(obj) === '[object Date]';\n}\n\nfunction get_interpolator(a, b) {\n    if (a === b || a !== a)\n        return () => a;\n    const type = typeof a;\n    if (type !== typeof b || Array.isArray(a) !== Array.isArray(b)) {\n        throw new Error('Cannot interpolate values of different type');\n    }\n    if (Array.isArray(a)) {\n        const arr = b.map((bi, i) => {\n            return get_interpolator(a[i], bi);\n        });\n        return t => arr.map(fn => fn(t));\n    }\n    if (type === 'object') {\n        if (!a || !b)\n            throw new Error('Object cannot be null');\n        if (is_date(a) && is_date(b)) {\n            a = a.getTime();\n            b = b.getTime();\n            const delta = b - a;\n            return t => new Date(a + t * delta);\n        }\n        const keys = Object.keys(b);\n        const interpolators = {};\n        keys.forEach(key => {\n            interpolators[key] = get_interpolator(a[key], b[key]);\n        });\n        return t => {\n            const result = {};\n            keys.forEach(key => {\n                result[key] = interpolators[key](t);\n            });\n            return result;\n        };\n    }\n    if (type === 'number') {\n        const delta = b - a;\n        return t => a + t * delta;\n    }\n    throw new Error(`Cannot interpolate ${type} values`);\n}\nfunction tweened(value, defaults = {}) {\n    const store = writable(value);\n    let task;\n    let target_value = value;\n    function set(new_value, opts) {\n        if (value == null) {\n            store.set(value = new_value);\n            return Promise.resolve();\n        }\n        target_value = new_value;\n        let previous_task = task;\n        let started = false;\n        let { delay = 0, duration = 400, easing = identity, interpolate = get_interpolator } = assign(assign({}, defaults), opts);\n        if (duration === 0) {\n            if (previous_task) {\n                previous_task.abort();\n                previous_task = null;\n            }\n            store.set(value = target_value);\n            return Promise.resolve();\n        }\n        const start = now() + delay;\n        let fn;\n        task = loop(now => {\n            if (now < start)\n                return true;\n            if (!started) {\n                fn = interpolate(value, new_value);\n                if (typeof duration === 'function')\n                    duration = duration(value, new_value);\n                started = true;\n            }\n            if (previous_task) {\n                previous_task.abort();\n                previous_task = null;\n            }\n            const elapsed = now - start;\n            if (elapsed > duration) {\n                store.set(value = new_value);\n                return false;\n            }\n            // @ts-ignore\n            store.set(value = fn(easing(elapsed / duration)));\n            return true;\n        });\n        return task.promise;\n    }\n    return {\n        set,\n        update: (fn, opts) => set(fn(target_value, value), opts),\n        subscribe: store.subscribe\n    };\n}\n\n// @ts-ignore\nfunction tick_spring(ctx, last_value, current_value, target_value) {\n    if (typeof current_value === 'number') {\n        // @ts-ignore\n        const delta = target_value - current_value;\n        // @ts-ignore\n        const velocity = (current_value - last_value) / (ctx.dt || 1 / 60); // guard div by 0\n        const spring = ctx.opts.stiffness * delta;\n        const damper = ctx.opts.damping * velocity;\n        const acceleration = (spring - damper) * ctx.inv_mass;\n        const d = (velocity + acceleration) * ctx.dt;\n        if (Math.abs(d) < ctx.opts.precision && Math.abs(delta) < ctx.opts.precision) {\n            return target_value; // settled\n        }\n        else {\n            ctx.settled = false; // signal loop to keep ticking\n            // @ts-ignore\n            return current_value + d;\n        }\n    }\n    else if (isArray(current_value)) {\n        // @ts-ignore\n        return current_value.map((_, i) => tick_spring(ctx, last_value[i], current_value[i], target_value[i]));\n    }\n    else if (typeof current_value === 'object') {\n        const next_value = {};\n        // @ts-ignore\n        for (const k in current_value) {\n            // @ts-ignore\n            next_value[k] = tick_spring(ctx, last_value[k], current_value[k], target_value[k]);\n        }\n        // @ts-ignore\n        return next_value;\n    }\n    else {\n        throw new Error(`Cannot spring ${typeof current_value} values`);\n    }\n}\n// export interface Spring {\n//     set: (new_value: any, opts?: SpringUpdateOpts) => Promise<void>;\n//     update: (fn: Function, opts?: SpringUpdateOpts) => Promise<void>;\n//     subscribe: Function;\n//     precision: number;\n//     damping: number;\n//     stiffness: number;\n// }\nfunction spring(value, opts = {}) {\n    const store = writable(value);\n    const { stiffness = 0.15, damping = 0.8, precision = 0.01 } = opts;\n    let last_time;\n    let task;\n    let current_token;\n    let last_value = value;\n    let target_value = value;\n    let inv_mass = 1;\n    let inv_mass_recovery_rate = 0;\n    let cancel_task = false;\n    function set(new_value, opts = {}) {\n        target_value = new_value;\n        const token = (current_token = {});\n        if (value == null || opts.hard || (spring.stiffness >= 1 && spring.damping >= 1)) {\n            cancel_task = true; // cancel any running animation\n            last_time = null;\n            last_value = new_value;\n            store.set((value = target_value));\n            return Promise.resolve();\n        }\n        else if (opts.soft) {\n            const rate = opts.soft === true ? 0.5 : +opts.soft;\n            inv_mass_recovery_rate = 1 / (rate * 60);\n            inv_mass = 0; // infinite mass, unaffected by spring forces\n        }\n        if (!task) {\n            last_time = null;\n            cancel_task = false;\n            const ctx = {\n                inv_mass: undefined,\n                opts: spring,\n                settled: true,\n                dt: undefined,\n            };\n            task = loop((now) => {\n                if (last_time === null)\n                    last_time = now;\n                if (cancel_task) {\n                    cancel_task = false;\n                    task = null;\n                    return false;\n                }\n                inv_mass = Math.min(inv_mass + inv_mass_recovery_rate, 1);\n                // altered so doesn't create a new object\n                ctx.inv_mass = inv_mass;\n                ctx.opts = spring;\n                ctx.settled = true; // tick_spring may signal false\n                ctx.dt = ((now - last_time) * 60) / 1000;\n                const next_value = tick_spring(ctx, last_value, value, target_value);\n                last_time = now;\n                last_value = value;\n                store.set((value = next_value));\n                if (ctx.settled)\n                    task = null;\n                return !ctx.settled;\n            });\n        }\n        return new Promise((fulfil) => {\n            task.promise.then(() => {\n                if (token === current_token)\n                    fulfil();\n            });\n        });\n    }\n    const spring = {\n        set,\n        update: (fn, opts) => set(fn(target_value, value), opts),\n        subscribe: store.subscribe,\n        stiffness,\n        damping,\n        precision,\n    };\n    return spring;\n}\n\nvar prefersReducedMotion = readable(false, (set) => {\n    const mql = window.matchMedia('(prefers-reduced-motion:reduce)');\n    const test = () => set(mql.matches);\n    test();\n    mql.addListener(test);\n    return () => mql.removeListener(test);\n});\n\nvar hasResizeObserver = () => 'ResizeObserver' in window;\n\n//\nconst rectNext = rectCreateEmpty();\nconst updateNodeRect = (node, x, y, width, height) => {\n    if (!node.rect)\n        node.rect = rectCreateEmpty();\n    const rect = node.rect;\n    rectUpdate(rectNext, x, y, width, height);\n    if (rectEqual(rect, rectNext))\n        return;\n    rectUpdateWithRect(rect, rectNext);\n    node.dispatchEvent(new CustomEvent('measure', { detail: rect }));\n};\n// measures the element\nconst r = Math.round;\nconst measureViewRect = (node) => {\n    const clientRect = node.getBoundingClientRect();\n    // no frame because root has zero size\n    if (!frame)\n        return;\n    updateNodeRect(node, r(clientRect.x), r(clientRect.y), r(clientRect.width), r(clientRect.height));\n};\nconst measureOffset = (node) => {\n    // no frame because root has zero size\n    if (!frame)\n        return;\n    updateNodeRect(node, node.offsetLeft, node.offsetTop, node.offsetWidth, node.offsetHeight);\n};\n// holds all the elements to measure using requestAnimationFrame\nconst elements = [];\n// draw loop\nlet frame = undefined; /* is false when paused, is undefined when not initialised */\nfunction tick() {\n    if (!elements.length) {\n        frame = undefined;\n        return;\n    }\n    elements.forEach((node) => node.measure(node));\n    frame = requestAnimationFrame(tick);\n}\nlet observer; // ResizeObserver API not known by TypeScript\n// root observer\nlet rootObserver;\nlet rootRects = new Map([]);\nlet observedRoots = 0;\n// total observed elements so we know when we can unload observer\nlet observedNodes = 0;\nvar measurable = (node, options = {}) => {\n    const { observePosition = false, observeViewRect = false, once = false, disabled = false, isMeasureRoot = false, } = options;\n    // if is measure root we pause all measuring if this element doesn't have a size and no other roots actively measuring\n    if (hasResizeObserver() && isMeasureRoot) {\n        if (!rootObserver) {\n            rootObserver = new ResizeObserver((entries) => {\n                // update root rects\n                entries.forEach((entry) => {\n                    rootRects.set(entry.target, entry.contentRect);\n                });\n                // loop over all observed roots, if all roots don't have a size we pause measuring\n                const someVisible = Array.from(rootRects.values()).some(({ width, height }) => {\n                    return width > 0 && height > 0;\n                });\n                // if no roots visible, halt draw loop\n                if (!someVisible) {\n                    frame && cancelAnimationFrame(frame);\n                    frame = false;\n                }\n                // if no draw loop and a root became visible\n                else if (someVisible && frame === false) {\n                    tick();\n                }\n            });\n        }\n        // increase amount of observed roots so we know when no more roots are observed\n        rootObserver.observe(node);\n        observedRoots++;\n    }\n    // exit\n    if (disabled)\n        return;\n    // use resize observe if available\n    if (hasResizeObserver() && !observePosition && !observeViewRect) {\n        // we only create one observer, it will observe all registered elements\n        if (!observer) {\n            observer = new ResizeObserver((entries) => {\n                entries.forEach((entry) => {\n                    // no frame because root has zero size\n                    if (!frame)\n                        return;\n                    measureOffset(entry.target);\n                });\n            });\n        }\n        // start observing this node\n        observer.observe(node);\n        // measure our node for the first time\n        measureOffset(node);\n        // if should only measure once, remove now\n        if (once) {\n            observer.unobserve(node);\n        }\n        else {\n            observedNodes++;\n        }\n        // and we done, need to return a clean up method for when our node is destroyed\n        return {\n            destroy() {\n                // if is root\n                if (isMeasureRoot && rootObserver) {\n                    rootRects.delete(node);\n                    rootObserver.unobserve(node);\n                    observedRoots--;\n                    if (observedRoots === 0) {\n                        rootObserver.disconnect();\n                        rootObserver = undefined;\n                    }\n                }\n                // already unobserved this node\n                if (once)\n                    return;\n                // stop observing this node\n                observer.unobserve(node);\n                // test if all nodes have been removed, if so, remove observer\n                observedNodes--;\n                if (observedNodes === 0) {\n                    observer.disconnect();\n                    observer = undefined;\n                }\n            },\n        };\n    }\n    // set measure function\n    node.measure = observeViewRect ? measureViewRect : measureOffset;\n    // add so the element is measured\n    elements.push(node);\n    // start measuring on next frame, we set up a single measure loop,\n    // the loop will check if there's still elements that need to be measured,\n    // else it will stop running\n    if (frame === undefined)\n        frame = requestAnimationFrame(tick);\n    // measure this element now\n    node.measure(node);\n    // remove method\n    return {\n        destroy() {\n            // if is root\n            if (isMeasureRoot && rootObserver) {\n                rootRects.delete(node);\n                rootObserver.unobserve(node);\n                observedRoots--;\n                if (observedRoots === 0) {\n                    rootObserver.disconnect();\n                    rootObserver = undefined;\n                }\n            }\n            // clean up element\n            const index = elements.indexOf(node);\n            elements.splice(index, 1);\n            delete node.measure;\n        },\n    };\n};\n\nvar focusvisible = (element) => {\n    let isKeyboardInteraction = false;\n    const handlePointerdown = () => {\n        isKeyboardInteraction = false;\n    };\n    const handleKeydown = () => {\n        isKeyboardInteraction = true;\n    };\n    const handleKeyup = () => {\n        isKeyboardInteraction = false;\n    };\n    const handleFocus = (e) => {\n        if (!isKeyboardInteraction)\n            return;\n        e.target.dataset.focusVisible = '';\n    };\n    const handleBlur = (e) => {\n        delete e.target.dataset.focusVisible;\n    };\n    const map = {\n        pointerdown: handlePointerdown,\n        keydown: handleKeydown,\n        keyup: handleKeyup,\n        focus: handleFocus,\n        blur: handleBlur,\n    };\n    Object.keys(map).forEach((event) => element.addEventListener(event, map[event], true));\n    return {\n        destroy() {\n            Object.keys(map).forEach((event) => element.removeEventListener(event, map[event], true));\n        },\n    };\n};\n\nconst getResourceFromItem = async (item) => new Promise((resolve) => {\n    if (item.kind === 'file')\n        return resolve(item.getAsFile());\n    item.getAsString(resolve);\n});\nconst getResourcesFromEvent = (e) => new Promise((resolve, reject) => {\n    const { items } = e.dataTransfer;\n    if (!items)\n        return resolve([]);\n    Promise.all(Array.from(items).map(getResourceFromItem))\n        .then((res) => {\n        resolve(res.filter((item) => (isBinary(item) && isImage(item)) || /^http/.test(item)));\n    })\n        .catch(reject);\n});\nvar dropable = (node, options = {}) => {\n    const handleDragOver = (e) => {\n        // need to be prevent default to allow drop\n        e.preventDefault();\n    };\n    const handleDrop = async (e) => {\n        e.preventDefault();\n        e.stopPropagation(); // prevents parents from catching this drop\n        try {\n            const resources = await getResourcesFromEvent(e);\n            node.dispatchEvent(new CustomEvent('dropfiles', {\n                detail: {\n                    event: e,\n                    resources,\n                },\n                ...options,\n            }));\n        }\n        catch (err) {\n            // silent, wasn't able to catch\n        }\n    };\n    node.addEventListener('drop', handleDrop);\n    node.addEventListener('dragover', handleDragOver);\n    // remove method\n    return {\n        destroy() {\n            node.removeEventListener('drop', handleDrop);\n            node.removeEventListener('dragover', handleDragOver);\n        },\n    };\n};\n\nlet result$4 = null;\nvar isSoftwareRendering = () => {\n    if (result$4 === null) {\n        if (isBrowser()) {\n            const canvas = h('canvas');\n            result$4 = !getWebGLContext(canvas, {\n                failIfMajorPerformanceCaveat: true,\n            });\n            releaseCanvas(canvas);\n        }\n        else {\n            result$4 = false;\n        }\n    }\n    return result$4;\n};\n\nvar createTransparencyGrid = (size) => {\n    const sizeHalf = size * 0.5;\n    const canvas = h('canvas', {\n        'data-retain': true,\n        width: size,\n        height: size,\n    });\n    const ctx = canvas.getContext('2d');\n    ctx.fillStyle = '#f0f';\n    ctx.fillRect(0, 0, sizeHalf, sizeHalf);\n    ctx.fillRect(sizeHalf, sizeHalf, sizeHalf, sizeHalf);\n    return canvas;\n};\n\nvar durationToMilliseconds = (duration) => {\n    let f = parseFloat(duration);\n    if (/^[0-9]+s$/.test(duration))\n        return f * 1000;\n    return f;\n};\n\nvar isTexture = (texture) => texture instanceof WebGLTexture;\n\nvar isVideoPlaying = (video) => video.currentTime > 0 && !video.paused && !video.ended && video.readyState > 2;\n\n/* src/core/ui/components/Canvas.svelte generated by Svelte v3.52.0 */\n\nfunction create_fragment$Q(ctx) {\n\tlet div;\n\tlet canvas_1;\n\tlet mounted;\n\tlet dispose;\n\n\treturn {\n\t\tc() {\n\t\t\tdiv = element(\"div\");\n\t\t\tcanvas_1 = element(\"canvas\");\n\t\t\tattr(div, \"class\", \"PinturaCanvas\");\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, div, anchor);\n\t\t\tappend(div, canvas_1);\n\t\t\t/*canvas_1_binding*/ ctx[35](canvas_1);\n\n\t\t\tif (!mounted) {\n\t\t\t\tdispose = [\n\t\t\t\t\tlisten(canvas_1, \"measure\", /*measure_handler*/ ctx[36]),\n\t\t\t\t\taction_destroyer(measurable.call(null, canvas_1))\n\t\t\t\t];\n\n\t\t\t\tmounted = true;\n\t\t\t}\n\t\t},\n\t\tp: noop,\n\t\ti: noop,\n\t\to: noop,\n\t\td(detaching) {\n\t\t\tif (detaching) detach(div);\n\t\t\t/*canvas_1_binding*/ ctx[35](null);\n\t\t\tmounted = false;\n\t\t\trun_all(dispose);\n\t\t}\n\t};\n}\n\nlet throttledMinRedrawDist = 48;\n\nfunction instance$R($$self, $$props, $$invalidate) {\n\tlet canDraw;\n\tlet drawUpdate;\n\tlet $maskFrameOpacityStore;\n\tlet $imageOverlayColor;\n\tlet $maskOpacityStore;\n\tlet $mask;\n\tlet $background;\n\tconst Vec4Empty = [0, 0, 0, 0];\n\n\t// create grid texture\n\tconst TransparencyGrid = isBrowser() && createTransparencyGrid(128);\n\n\t// used to dispatch the 'measure' event\n\tconst dispatch = createEventDispatcher();\n\n\tlet { isAnimated } = $$props;\n\tlet { isTransparent } = $$props;\n\tlet { maskRect } = $$props;\n\tlet { maskOpacity = 1 } = $$props;\n\tlet { maskFrameOpacity = 0.95 } = $$props;\n\tlet { maskMarkupOpacity = 1 } = $$props;\n\tlet { clipAnnotationsToImage = true } = $$props;\n\tlet { pixelRatio = 1 } = $$props;\n\tlet { textPixelRatio = pixelRatio } = $$props;\n\tlet { backgroundColor } = $$props;\n\tlet { willRender = passthrough } = $$props;\n\tlet { didRender = passthrough } = $$props;\n\tlet { willRequest = undefined } = $$props;\n\tlet { loadImageData = passthrough } = $$props;\n\tlet { enableGrid = false } = $$props;\n\tlet { gridColors = undefined } = $$props;\n\tlet { gridSize = undefined } = $$props;\n\tlet { gridOpacity = 0 } = $$props;\n\tlet { images = [] } = $$props;\n\tlet { interfaceImages = [] } = $$props;\n\n\t// internal props\n\tlet canvas;\n\n\tlet canvasGL = null;\n\tlet width = null;\n\tlet height = null;\n\n\t// springyness for main preview\n\tconst updateSpring = (spring, value) => spring.set(value, { hard: !isAnimated });\n\n\tconst SPRING_PROPS = { precision: 0.0001 };\n\tconst SPRING_PROPS_FRACTION = { precision: SPRING_PROPS.precision * 0.01 };\n\n\t// Editor UI\n\tlet backgroundColorAnimationDuration = 0;\n\n\tconst background = tweened(undefined, { duration: 0 });\n\tcomponent_subscribe($$self, background, value => $$invalidate(34, $background = value));\n\tconst maskOpacityStore = spring(1, SPRING_PROPS_FRACTION);\n\tcomponent_subscribe($$self, maskOpacityStore, value => $$invalidate(33, $maskOpacityStore = value));\n\tconst maskFrameOpacityStore = spring(1, SPRING_PROPS_FRACTION);\n\tcomponent_subscribe($$self, maskFrameOpacityStore, value => $$invalidate(45, $maskFrameOpacityStore = value));\n\tconst mask = writable();\n\tcomponent_subscribe($$self, mask, value => $$invalidate(47, $mask = value));\n\tconst imageOverlayColor = writable();\n\tcomponent_subscribe($$self, imageOverlayColor, value => $$invalidate(46, $imageOverlayColor = value));\n\n\t//#region texture loading and binding\n\tconst requestRedraw = () => requestAnimationFrame(() => {\n\t\t// this triggers redraw of items marked as non-dirty\n\t\tredrawForce = true;\n\n\t\t// this makes sure delayed redraw also works\n\t\tthrottledLastDrawTime = 0;\n\n\t\t// draw the update\n\t\tdrawUpdate();\n\t});\n\n\tconst Textures = new Map([]);\n\tconst PlaceholderTextures = new Map([]);\n\n\tconst isTextureResourceLoaded = resource => // not is url or dataurl\n\t!isString(resource) && (// is something that is accepted as webgl texture\n\tisImageBitmap(resource) || isImageData(resource) || isCanvas(resource) || isVideoElement(resource));\n\n\tconst getTextureParams = (imageRendering, textureWrapping) => {\n\t\t// get texture filter mode\n\t\tconst filterParam = imageRendering === 'pixelated'\n\t\t? canvasGL.textureFilterNearest\n\t\t: canvasGL.textureFilterLinear;\n\n\t\tconst wrapParam = textureWrapping === 'repeat'\n\t\t? canvasGL.textureRepeat\n\t\t: canvasGL.textureClamp;\n\n\t\treturn { filterParam, wrapParam };\n\t};\n\n\tconst getImageTexture = (image, imageRendering, textureWrapping) => {\n\t\t// no texture yet for this source\n\t\tif (!Textures.has(image)) {\n\t\t\t// is in loading state when is same as source\n\t\t\tTextures.set(image, image);\n\n\t\t\t// get texture filter mode\n\t\t\tconst textureParams = getTextureParams(imageRendering, textureWrapping);\n\n\t\t\t// already loaded\n\t\t\tif (isTextureResourceLoaded(image)) {\n\t\t\t\t// create texture\n\t\t\t\tconst texture = canvasGL.textureCreate();\n\n\t\t\t\t// udpate texture in gl canvas\n\t\t\t\tcanvasGL.textureUpdate(texture, image, textureParams);\n\n\t\t\t\t// update state we now have a texture\n\t\t\t\tTextures.set(image, texture);\n\t\t\t} else // need to load the image\n\t\t\t{\n\t\t\t\tloadImageData(image).then(data => {\n\t\t\t\t\t// canvas destroyed while loading texture data, or no data returned\n\t\t\t\t\tif (!canvasGL || !data) return;\n\n\t\t\t\t\t// create texture\n\t\t\t\t\tconst texture = canvasGL.textureCreate();\n\n\t\t\t\t\t// udpate texture in gl canvas\n\t\t\t\t\tcanvasGL.textureUpdate(texture, data, textureParams);\n\n\t\t\t\t\t// update state we now have a texture\n\t\t\t\t\tTextures.set(image, texture);\n\n\t\t\t\t\t// need to redraw because texture is now available\n\t\t\t\t\trequestRedraw();\n\t\t\t\t}).catch(err => {\n\t\t\t\t\tconsole.error(err);\n\t\t\t\t});\n\t\t\t}\n\t\t}\n\n\t\t// texture is a video and should be updated\n\t\tif (isVideoElement(image) && (isVideoPlaying(image) || image.dataset.redraw === 'true')) {\n\t\t\tconst texture = Textures.get(image);\n\n\t\t\t// get texture filter mode\n\t\t\tconst textureParams = getTextureParams(imageRendering, textureWrapping);\n\n\t\t\t// udpate texture in gl canvas\n\t\t\tcanvasGL.textureUpdate(texture, image, textureParams);\n\n\t\t\t// done drawing\n\t\t\timage.dataset.redraw = false;\n\n\t\t\t// done!\n\t\t\treturn texture;\n\t\t}\n\n\t\t// get texture to return\n\t\treturn Textures.get(image);\n\t};\n\n\tconst getTextTexture = shape => {\n\t\t// no text, texture not necessary\n\t\tif (!shape.text.length) {\n\t\t\tPlaceholderTextures.delete(shape.id);\n\t\t\treturn undefined;\n\t\t}\n\n\t\tlet { text, textAlign, fontFamily, fontSize = 16, fontWeight, fontVariant, fontStyle, lineHeight = fontSize, width, height } = shape;\n\n\t\t// this is the same as how contenteditable floors width/height\n\t\twidth = isNumber(width) ? Math.floor(width) : width;\n\n\t\theight = isNumber(height) ? Math.floor(height) : height;\n\t\tconst { textSize, signature } = textMeasure(text, { ...shape, width, height });\n\n\t\tconst textUID = objectUID({\n\t\t\ttext,\n\t\t\ttextAlign,\n\t\t\tfontFamily,\n\t\t\tfontSize,\n\t\t\tfontWeight,\n\t\t\tfontVariant,\n\t\t\tfontStyle,\n\t\t\tlineHeight,\n\t\t\tsignature\n\t\t});\n\n\t\t// get texture unit assigned to this specific text shape\n\t\tif (!Textures.has(textUID)) {\n\t\t\t// is in loading state when is same as source\n\t\t\tTextures.set(textUID, text);\n\n\t\t\t// defined size of text box\n\t\t\t// - line: undefined, undefined\n\t\t\t// - auto: width, undefined\n\t\t\t// - box:  width, height\n\t\t\tconst imageWidth = Math.ceil(textSize.width);\n\n\t\t\tconst imageHeight = Math.ceil(textSize.height / lineHeight) * lineHeight; // so lines at end of text box are not cut of\n\n\t\t\t// skip\n\t\t\tif (imageWidth === 0 || imageHeight === 0) return;\n\n\t\t\t// check if needs to scale texture\n\t\t\tconst textureSizeLimit = getWebGLTextureSizeLimit();\n\n\t\t\tconst textureSizeScalar = Math.min(1, (textureSizeLimit - TextPadding * textPixelRatio * 2) / (imageWidth * textPixelRatio), textureSizeLimit / (imageHeight * textPixelRatio));\n\n\t\t\t// create texture\n\t\t\ttextToImage(text, {\n\t\t\t\tfontSize,\n\t\t\t\tfontFamily,\n\t\t\t\tfontWeight,\n\t\t\t\tfontVariant,\n\t\t\t\tfontStyle,\n\t\t\t\ttextAlign,\n\t\t\t\tlineHeight,\n\t\t\t\twidth,\n\t\t\t\theight,\n\t\t\t\timageWidth,\n\t\t\t\timageHeight,\n\t\t\t\tpixelRatio: textPixelRatio * textureSizeScalar,\n\t\t\t\twillRequest,\n\t\t\t\tcolor: [1, 0, 1], // purple will be replaced in render method\n\t\t\t\t\n\t\t\t}).then(image => {\n\t\t\t\t// canvas destroyed while loading texture data\n\t\t\t\tif (!canvasGL) return;\n\n\t\t\t\t// create texture\n\t\t\t\tconst texture = canvasGL.textureCreate();\n\n\t\t\t\t// update texture in gl canvas\n\t\t\t\tcanvasGL.textureUpdate(texture, image, {\n\t\t\t\t\tfilterParam: canvasGL.textureFilterLinear,\n\t\t\t\t\twrapParam: canvasGL.textureClamp,\n\t\t\t\t\tscalar: textureSizeScalar\n\t\t\t\t});\n\n\t\t\t\t// update state we now have a texture\n\t\t\t\tTextures.set(textUID, texture);\n\n\t\t\t\t// use as fallback texture for next update\n\t\t\t\tPlaceholderTextures.set(shape.id, texture);\n\n\t\t\t\t// need to redraw because texture is now available\n\t\t\t\trequestRedraw();\n\t\t\t}).catch(console.error);\n\t\t}\n\n\t\tconst texture = Textures.get(textUID);\n\n\t\treturn isTexture(texture)\n\t\t? texture\n\t\t: PlaceholderTextures.get(shape.id);\n\t};\n\n\tconst getShapeTexture = shape => {\n\t\tlet texture;\n\n\t\t// let's create textures for backgrounds and texts\n\t\tif (shape.backgroundImage) {\n\t\t\ttexture = getImageTexture(shape.backgroundImage, shape.backgroundImageRendering);\n\t\t} else // is text texture\n\t\tif (isString(shape.text)) {\n\t\t\tif (shape.width && shape.width < 1 || shape.height && shape.height < 1) return undefined;\n\t\t\ttexture = getTextTexture(shape);\n\t\t}\n\n\t\treturn texture;\n\t};\n\n\tconst releaseUnusedTextures = usedTextures => {\n\t\tTextures.forEach((registeredTexture, key) => {\n\t\t\tconst isUsed = !!usedTextures.find(usedTexture => usedTexture === registeredTexture);\n\n\t\t\t// stil used, no need to release\n\t\t\tif (isUsed || !isTexture(registeredTexture)) return;\n\n\t\t\t// skip if used as placeholder texture\n\t\t\tif (Array.from(PlaceholderTextures.values()).includes(registeredTexture)) return;\n\n\t\t\t// remove this texture\n\t\t\tTextures.delete(key);\n\n\t\t\tcanvasGL.textureDelete(registeredTexture);\n\t\t});\n\t};\n\n\t//#endregion\n\t//#region drawing\n\tconst drawImageHelper = ({ data, size, origin, translation, rotation, scale, colorMatrix, opacity, convolutionMatrix, gamma, vignette, maskFeather, maskCornerRadius, overlayColor, enableOverlay, enableBlend, enableAntialiasing }) => {\n\t\t// gets texture to use for this image\n\t\tconst texture = getImageTexture(data);\n\n\t\t// this makes sure the image renders extra crisp on low res screens\n\t\tlet sharpenOffsetX = 0;\n\n\t\tlet sharpenOffsetY = 0;\n\n\t\tif (pixelRatio === 1) {\n\t\t\tconst atActualSize = Math.abs(1 - scale) < Number.EPSILON;\n\t\t\tsharpenOffsetX = atActualSize && width % 2 !== 0 ? 0.5 : 0;\n\t\t\tsharpenOffsetY = atActualSize && height % 2 !== 0 ? 0.5 : 0;\n\t\t}\n\n\t\t// draw the image\n\t\tcanvasGL.drawImage(texture, size, origin.x, origin.y, translation.x + sharpenOffsetX, translation.y + sharpenOffsetY, rotation.x, rotation.y, rotation.z, scale, colorMatrix, clamp(opacity, 0, 1), convolutionMatrix, gamma, vignette, maskFeather, maskCornerRadius, overlayColor, enableOverlay, enableBlend, enableAntialiasing);\n\n\t\treturn texture;\n\t};\n\n\tconst backgroundCornersToUVMap = ([tl, tr, br, bl]) => {\n\t\t// tl, tr, br, bl -> bl, tl, br, tr\n\t\t// prettier-ignore\n\t\t// B   D\n\t\t// | \\ |\n\t\t// A  C\n\t\treturn [bl.x, bl.y, tl.x, tl.y, br.x, br.y, tr.x, tr.y];\n\t};\n\n\tconst EmptyVector = vectorCreateEmpty();\n\n\tconst drawShapes = (shapes = [], maxSize) => {\n\t\treturn shapes.map(shape => {\n\t\t\t// only show texture if shape is finished loading\n\t\t\tlet shapeTexture = !shape._isLoading && getShapeTexture(shape);\n\n\t\t\t// get the webgl texture\n\t\t\tlet texture = isTexture(shapeTexture) ? shapeTexture : undefined;\n\n\t\t\t// transforms\n\t\t\tconst scalar = shape._scale || 1;\n\n\t\t\tconst translation = shape._translate || EmptyVector;\n\n\t\t\t// scale stroke width\n\t\t\tconst strokeWidth = shape.strokeWidth && shape.strokeWidth * scalar;\n\n\t\t\tif (isArray(shape.points)) {\n\t\t\t\t// transform points\n\t\t\t\tconst points = shape.points.map(point => vectorCreate(point.x * scalar + translation.x, point.y * scalar + translation.y));\n\n\t\t\t\tcanvasGL.drawPath(points, shape.rotation, shape.flipX, shape.flipY, strokeWidth, shape.strokeColor, shape.pathClose, shape.backgroundColor, shape.opacity);\n\t\t\t} else // is ellipse\n\t\t\tif (isNumber(shape.rx) && isNumber(shape.ry)) {\n\t\t\t\tlet x = shape.x;\n\t\t\t\tlet y = shape.y;\n\t\t\t\tx *= scalar;\n\t\t\t\ty *= scalar;\n\t\t\t\tx += translation.x;\n\t\t\t\ty += translation.y;\n\t\t\t\tcanvasGL.drawEllipse(vectorCreate(x, y), shape.rx * scalar, shape.ry * scalar, shape.rotation, shape.flipX, shape.flipY, shape.backgroundColor, texture, undefined, undefined, shape.backgroundCorners && backgroundCornersToUVMap(shape.backgroundCorners), strokeWidth, shape.strokeColor, shape.opacity, shape.inverted);\n\t\t\t} else // is rect\n\t\t\tif (isString(shape.text) && texture || shape.width) {\n\t\t\t\tconst textureSize = texture && canvasGL.textureGetSize(texture);\n\t\t\t\tlet colorize = undefined;\n\t\t\t\tlet shapeBackgroundColor = shape.backgroundColor;\n\t\t\t\tlet shapeStrokeColor = shape.strokeColor;\n\t\t\t\tlet shapeRect;\n\n\t\t\t\tlet shapeCornerRadius = [\n\t\t\t\t\tshape.cornerRadius,\n\t\t\t\t\tshape.cornerRadius,\n\t\t\t\t\tshape.cornerRadius,\n\t\t\t\t\tshape.cornerRadius\n\t\t\t\t].map(v => v * scalar);\n\n\t\t\t\tif (shape.width) {\n\t\t\t\t\tshapeRect = rectCreateFromAny(shape);\n\t\t\t\t} else {\n\t\t\t\t\tshapeRect = { x: shape.x, y: shape.y, ...textureSize };\n\t\t\t\t}\n\n\t\t\t\t// apply shape transforms\n\t\t\t\tif (scalar && translation) {\n\t\t\t\t\tshapeRect.x *= scalar;\n\t\t\t\t\tshapeRect.y *= scalar;\n\t\t\t\t\tshapeRect.x += translation.x;\n\t\t\t\t\tshapeRect.y += translation.y;\n\t\t\t\t\tshapeRect.width *= scalar;\n\t\t\t\t\tshapeRect.height *= scalar;\n\t\t\t\t}\n\n\t\t\t\t// get texture\n\t\t\t\tlet backgroundSize;\n\n\t\t\t\tlet backgroundPosition;\n\n\t\t\t\tif (textureSize) {\n\t\t\t\t\t// background should be scaled\n\t\t\t\t\tif (shape.backgroundImage && (shape.backgroundSize || shape.backgroundPosition)) {\n\t\t\t\t\t\t// always respect texture aspect ratio\n\t\t\t\t\t\tconst textureAspectRatio = getAspectRatio(textureSize.width, textureSize.height);\n\n\t\t\t\t\t\t// adjust position of background\n\t\t\t\t\t\tif (shape.backgroundSize === 'contain') {\n\t\t\t\t\t\t\tconst rect = rectContainRect(shapeRect, textureAspectRatio, shapeRect);\n\t\t\t\t\t\t\tbackgroundSize = sizeCreateFromRect(rect);\n\n\t\t\t\t\t\t\tif (shape.backgroundPosition) {\n\t\t\t\t\t\t\t\tbackgroundPosition = shape.backgroundPosition;\n\t\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\t\tbackgroundPosition = vectorCreate((shapeRect.width - backgroundSize.width) * 0.5, (shapeRect.height - backgroundSize.height) * 0.5);\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t} else if (shape.backgroundSize === 'cover') {\n\t\t\t\t\t\t\tconst rect = rectCoverRect(shapeRect, textureAspectRatio, shapeRect);\n\t\t\t\t\t\t\tbackgroundSize = sizeCreateFromRect(rect);\n\n\t\t\t\t\t\t\tif (shape.backgroundPosition) {\n\t\t\t\t\t\t\t\tbackgroundPosition = shape.backgroundPosition;\n\t\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\t\tbackgroundPosition = vectorCreate(rect.x, rect.y);\n\t\t\t\t\t\t\t\tbackgroundPosition = vectorCreate((shapeRect.width - backgroundSize.width) * 0.5, (shapeRect.height - backgroundSize.height) * 0.5);\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t} else // fixed size\n\t\t\t\t\t\tif (shape.backgroundSize) {\n\t\t\t\t\t\t\tbackgroundSize = shape.backgroundSize;\n\t\t\t\t\t\t\tbackgroundPosition = shape.backgroundPosition;\n\t\t\t\t\t\t} else // no size set but position is set\n\t\t\t\t\t\tif (shape.backgroundPosition) {\n\t\t\t\t\t\t\tbackgroundSize = { ...textureSize };\n\t\t\t\t\t\t\tbackgroundPosition = shape.backgroundPosition;\n\t\t\t\t\t\t}\n\t\t\t\t\t} else // is text, \"background\" should be texture size and be positioned based on alignment\n\t\t\t\t\tif (shape.text) {\n\t\t\t\t\t\tconst pixelTextureSize = {\n\t\t\t\t\t\t\twidth: textureSize.width / textPixelRatio,\n\t\t\t\t\t\t\theight: textureSize.height / textPixelRatio\n\t\t\t\t\t\t};\n\n\t\t\t\t\t\t// adjust offset scalar\n\t\t\t\t\t\tlet fontScalar = 1;\n\n\t\t\t\t\t\tif (shape.fontSize > 1000 && isFirefox()) {\n\t\t\t\t\t\t\tfontScalar = shape.fontSize / 1000;\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\t// position texture based on text alignment\n\t\t\t\t\t\tbackgroundPosition = vectorCreate(0, 0);\n\n\t\t\t\t\t\tbackgroundSize = {\n\t\t\t\t\t\t\twidth: pixelTextureSize.width * scalar,\n\t\t\t\t\t\t\theight: pixelTextureSize.height * scalar\n\t\t\t\t\t\t};\n\n\t\t\t\t\t\t// draw background\n\t\t\t\t\t\tif (shape.backgroundColor || shape.strokeColor) {\n\t\t\t\t\t\t\t// remove background for text rendering draw call\n\t\t\t\t\t\t\tshapeBackgroundColor = undefined;\n\n\t\t\t\t\t\t\tshapeStrokeColor = undefined;\n\n\t\t\t\t\t\t\t// get width and height of shape\n\t\t\t\t\t\t\tlet width = (shape.width || pixelTextureSize.width - TextPadding * 2) * scalar;\n\n\t\t\t\t\t\t\tlet height = (shape.height || pixelTextureSize.height) * scalar;\n\t\t\t\t\t\t\tcanvasGL.drawRect({ ...shapeRect, width, height }, shape.rotation, shape.flipX, shape.flipY, shapeCornerRadius, shape.backgroundColor, undefined, undefined, undefined, false, undefined, strokeWidth, shape.strokeColor, shape.opacity, undefined, undefined, shape.inverted);\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\t// Apply TextPadding so text doesn't clip on left and right edges\n\t\t\t\t\t\tshapeRect.x -= TextPadding * scalar;\n\n\t\t\t\t\t\t// The text texture needs to be colorized\n\t\t\t\t\t\tcolorize = shape.color || [0, 0, 0];\n\n\t\t\t\t\t\t// adjust width\n\t\t\t\t\t\tif (shape.width) {\n\t\t\t\t\t\t\t// auto scale height if is auto-height field\n\t\t\t\t\t\t\tshapeRect.height = shapeRect.height || pixelTextureSize.height * scalar;\n\n\t\t\t\t\t\t\t// adjust width so we can still render characters outside of box\n\t\t\t\t\t\t\tshapeRect.width += TextPadding * 2 * scalar / fontScalar;\n\n\t\t\t\t\t\t\t// adjust when text alignment is different\n\t\t\t\t\t\t\tif (shape.textAlign === 'center') {\n\t\t\t\t\t\t\t\tbackgroundPosition.x = (shapeRect.width - backgroundSize.width / fontScalar) * 0.5;\n\t\t\t\t\t\t\t} else if (shape.textAlign === 'right') {\n\t\t\t\t\t\t\t\tbackgroundPosition.x = shapeRect.width - backgroundSize.width / fontScalar;\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\tshapeRect.width = pixelTextureSize.width * scalar;\n\t\t\t\t\t\t\tshapeRect.height = pixelTextureSize.height * scalar;\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\t// make color transparent\n\t\t\t\t\t\tif (shape._prerender) colorize[3] = 0;\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\tcanvasGL.drawRect(shapeRect, shape.rotation, shape.flipX, shape.flipY, shapeCornerRadius, shapeBackgroundColor, texture, backgroundSize, backgroundPosition, false, shape.backgroundCorners && backgroundCornersToUVMap(shape.backgroundCorners), strokeWidth, shapeStrokeColor, shape.opacity, undefined, colorize, shape.inverted);\n\t\t\t}\n\n\t\t\treturn shapeTexture;\n\t\t}).filter(Boolean);\n\t};\n\n\tconst drawTransparencyGridLayer = (texture, rect, pos, size, color, opacity) => canvasGL.drawRect(\n\t\trect,\n\t\t0,\n\t\tfalse,\n\t\tfalse,\n\t\tVec4Empty,\n\t\tVec4Empty,\n\t\ttexture,\n\t\t// size\n\t\tsize,\n\t\t// post\n\t\tpos,\n\t\t// repeat\n\t\ttrue,\n\t\tundefined,\n\t\t0,\n\t\tundefined,\n\t\topacity,\n\t\tundefined,\n\t\tcolor\n\t);\n\n\tconst drawTransparencyGrid = (rect, gridSize, colorEven, colorOdd, opacity) => {\n\t\tconst size = sizeCreate(gridSize, gridSize);\n\t\tconst texture = getImageTexture(TransparencyGrid, 'pixelated', 'repeat');\n\t\tconst posA = vectorCreate(-rect.x % gridSize, -rect.y % gridSize);\n\t\tconst posB = vectorCreate(posA.x + size.width * 0.5, posA.y);\n\t\tdrawTransparencyGridLayer(texture, rect, posA, size, colorEven, opacity);\n\t\tdrawTransparencyGridLayer(texture, rect, posB, size, colorOdd, opacity);\n\t};\n\n\t// redraws state\n\tlet redrawForce = false;\n\n\tlet isFirstDraw = true;\n\tlet wasFlipping = false;\n\tconst usedBlendTextures = [];\n\tconst usedAnnotationTextures = [];\n\tconst usedTextures = [];\n\n\tconst redraw = () => {\n\t\t// reset array of textures used in this draw call\n\t\tusedTextures.length = 0;\n\n\t\t// get top image shortcut\n\t\tconst imagesTop = images[0];\n\n\t\t// allow dev to inject more shapes\n\t\tconst { blendShapes, blendShapesDirty, annotationShapes, annotationShapesDirty, interfaceShapes, decorationShapes, frameShapes } = willRender({\n\t\t\t// top image state shortcut\n\t\t\topacity: imagesTop.opacity,\n\t\t\trotation: imagesTop.rotation,\n\t\t\tscale: imagesTop.scale,\n\t\t\t// active images\n\t\t\timages,\n\t\t\t// canvas size\n\t\t\tsize: sizeCreate(width, height),\n\t\t\t// canvas background\n\t\t\tbackgroundColor: [...$background],\n\t\t\t// preview selection rect\n\t\t\tselectionRect: $mask\n\t\t});\n\n\t\tconst canvasBackgroundColor = [...$background];\n\n\t\t// adjust mask a bit so bacckground color doesn't bleed through\n\t\tconst imagesMask = $mask;\n\n\t\tconst imagesMaskOpacity = clamp($maskOpacityStore, 0, 1);\n\t\tconst imagesOverlayColor = $imageOverlayColor;\n\t\tconst xFlipProgress = Math.abs(-1 + imagesTop.rotation.x / Math.PI * 2);\n\t\tconst yFlipProgress = Math.abs(-1 + imagesTop.rotation.y / Math.PI * 2);\n\t\tconst isFlipping = xFlipProgress < 0.99 || yFlipProgress < 0.99;\n\t\tconst imagesSize = { ...imagesTop.size };\n\t\tconst imagesBackgroundColor = imagesTop.backgroundColor;\n\t\tconst imagesBackgroundImage = imagesTop.backgroundImage;\n\n\t\t// no need to draw to blend framebuffer if no redactions\n\t\tconst hasBlendShapes = blendShapes.length > 0;\n\n\t\t// no need to draw to markup framebuffer if no annotations\n\t\tconst hasAnnotations = annotationShapes.length > 0;\n\n\t\t// if image has background color\n\t\tconst hasImageBackgroundColor = imagesBackgroundColor[3] > 0.0;\n\n\t\t// if the overlay is transparent so we can see the canvas\n\t\tconst hasTransparentOverlay = imagesMaskOpacity < 1.0;\n\n\t\t// should mask annotations outside of preview\n\t\tconst hasPreviewStencil = clipAnnotationsToImage ? maskMarkupOpacity >= 1 : false; //clipAnnotationsToImage || maskMarkupOpacity >= 1;\n\n\t\t// set canvas background color to image background color if is defined\n\t\tif (hasTransparentOverlay && hasImageBackgroundColor) {\n\t\t\tconst backR = canvasBackgroundColor[0];\n\t\t\tconst backG = canvasBackgroundColor[1];\n\t\t\tconst backB = canvasBackgroundColor[2];\n\t\t\tconst frontA = 1.0 - imagesMaskOpacity;\n\t\t\tconst frontR = imagesBackgroundColor[0] * frontA;\n\t\t\tconst frontG = imagesBackgroundColor[1] * frontA;\n\t\t\tconst frontB = imagesBackgroundColor[2] * frontA;\n\t\t\tconst fA = 1.0 - frontA;\n\t\t\tcanvasBackgroundColor[0] = frontR + backR * fA;\n\t\t\tcanvasBackgroundColor[1] = frontG + backG * fA;\n\t\t\tcanvasBackgroundColor[2] = frontB + backB * fA;\n\t\t\tcanvasBackgroundColor[3] = 1;\n\t\t}\n\n\t\t// make background transparent\n\t\tcanvasGL.setCanvasColor(isTransparent ? Vec4Empty : canvasBackgroundColor);\n\n\t\t// if has blend shapes draw blend shapes to framebuffer\n\t\tif (hasBlendShapes && blendShapesDirty) {\n\t\t\tcanvasGL.disableMask();\n\t\t\tcanvasGL.drawToImageBlendBuffer(imagesSize);\n\t\t\tusedBlendTextures.length = 0;\n\t\t\tusedBlendTextures.push(...drawShapes(blendShapes));\n\t\t} else if (!hasBlendShapes) {\n\t\t\tusedBlendTextures.length = 0;\n\t\t}\n\n\t\tusedTextures.push(...usedBlendTextures);\n\n\t\t// prepare overlay frame buffer\n\t\tif (isFirstDraw) {\n\t\t\tcanvasGL.drawToImageOverlayBuffer(imagesSize, textPixelRatio);\n\t\t\tisFirstDraw = false;\n\t\t}\n\n\t\t// if has annotations draw annotation shapes to framebuffer\n\t\tconst shouldDrawAnnotations = hasAnnotations && (annotationShapesDirty || redrawForce);\n\n\t\tif (isFlipping) {\n\t\t\tif (shouldDrawAnnotations || !wasFlipping) {\n\t\t\t\tcanvasGL.disableMask();\n\t\t\t\tcanvasGL.drawToImageOverlayBuffer(imagesSize, textPixelRatio);\n\t\t\t\tusedAnnotationTextures.length = 0;\n\t\t\t\tusedAnnotationTextures.push(...drawShapes(annotationShapes));\n\t\t\t} else if (!hasAnnotations) {\n\t\t\t\tusedAnnotationTextures.length = 0;\n\t\t\t}\n\n\t\t\t// we use wasFlipping so we know when we should redraw the overlay framebuffer\n\t\t\twasFlipping = true;\n\t\t} else {\n\t\t\twasFlipping = false;\n\t\t}\n\n\t\t// switch to canvas drawing for other elements\n\t\tcanvasGL.drawToCanvas();\n\n\t\tcanvasGL.enableMask(imagesMask, imagesMaskOpacity);\n\n\t\tif (enableGrid && gridSize >= 1 && gridColors.length === 2 && gridOpacity) {\n\t\t\tdrawTransparencyGrid(imagesMask, gridSize, gridColors[0], gridColors[1], gridOpacity);\n\t\t}\n\n\t\t// draw a colored rectangle behind main preview image\n\t\tif (hasImageBackgroundColor) {\n\t\t\tcanvasGL.drawRect(imagesMask, 0, false, false, Vec4Empty, imagesBackgroundColor);\n\t\t}\n\n\t\tif (imagesBackgroundImage) {\n\t\t\t// hide background image outside of crop area\n\t\t\tcanvasGL.enableMask(imagesMask, 1.0);\n\n\t\t\tconst scalar = Math.max(maskRect.width / imagesBackgroundImage.width, maskRect.height / imagesBackgroundImage.height);\n\t\t\tconst width = imagesBackgroundImage.width * scalar;\n\t\t\tconst height = imagesBackgroundImage.height * scalar;\n\n\t\t\tconst rect = {\n\t\t\t\tx: maskRect.x + maskRect.width * 0.5 - width * 0.5,\n\t\t\t\ty: maskRect.y + maskRect.height * 0.5 - height * 0.5,\n\t\t\t\twidth,\n\t\t\t\theight\n\t\t\t};\n\n\t\t\tcanvasGL.drawRect(rect, 0, false, false, Vec4Empty, Vec4Empty, getImageTexture(imagesBackgroundImage, 'linear'));\n\t\t\tcanvasGL.enableMask(imagesMask, imagesMaskOpacity);\n\t\t}\n\n\t\thasPreviewStencil && canvasGL.enablePreviewStencil();\n\n\t\tusedTextures.push(...[...images].reverse().map(image => {\n\t\t\treturn drawImageHelper({\n\t\t\t\t...image,\n\t\t\t\t// enable drawing markup if defined\n\t\t\t\tenableOverlay: isFlipping && hasAnnotations,\n\t\t\t\t// enable drawing redactions if defined\n\t\t\t\tenableBlend: hasBlendShapes,\n\t\t\t\t// antialias image edges\n\t\t\t\tenableAntialiasing: true,\n\t\t\t\t// mask and overlay positions\n\t\t\t\tmask: imagesMask,\n\t\t\t\tmaskOpacity: imagesMaskOpacity,\n\t\t\t\t// overlay\n\t\t\t\toverlayColor: imagesOverlayColor\n\t\t\t});\n\t\t}));\n\n\t\t// TODO: move vignette here (draw with colorized circular gradient texture instead of in shader)\n\t\t// set markup mask\n\t\tcanvasGL.enableMask(imagesMask, maskMarkupOpacity);\n\n\t\t// draw shapes in UI instead of framebuffer\n\t\tif (!isFlipping) {\n\t\t\t// only draw in image area\n\t\t\thasPreviewStencil && canvasGL.applyPreviewStencil();\n\n\t\t\t// draw shapes\n\t\t\tcanvasGL.resetCanvasMatrix();\n\n\t\t\tcanvasGL.updateCanvasMatrix(imagesSize, imagesTop.origin, imagesTop.translation, imagesTop.scale, imagesTop.rotation);\n\n\t\t\t// draw shapes\n\t\t\tusedAnnotationTextures.length = 0;\n\n\t\t\tusedAnnotationTextures.push(...drawShapes(annotationShapes));\n\n\t\t\t// stencil no longer needed\n\t\t\thasPreviewStencil && canvasGL.disablePreviewStencil();\n\t\t}\n\n\t\tusedTextures.push(...usedAnnotationTextures);\n\n\t\t// draw decorations shapes relative to crop\n\t\tcanvasGL.resetCanvasMatrix();\n\n\t\tcanvasGL.enableMask(imagesMask, maskMarkupOpacity);\n\t\tusedTextures.push(...drawShapes(decorationShapes));\n\n\t\t// draw frames\n\t\tif (frameShapes.length) {\n\t\t\t// set frame mask\n\t\t\tcanvasGL.enableMask(imagesMask, 1);\n\n\t\t\tconst shapesInside = frameShapes.filter(shape => !shape.expandsCanvas);\n\t\t\tconst shapesOutside = frameShapes.filter(shape => shape.expandsCanvas);\n\n\t\t\tif (shapesInside.length) {\n\t\t\t\tusedTextures.push(...drawShapes(shapesInside));\n\t\t\t}\n\n\t\t\tif (shapesOutside.length) {\n\t\t\t\t// the half pixel helps mask the outside shapes at the correct position\n\t\t\t\tcanvasGL.enableMask(\n\t\t\t\t\t{\n\t\t\t\t\t\tx: imagesMask.x + 0.5,\n\t\t\t\t\t\ty: imagesMask.y + 0.5,\n\t\t\t\t\t\twidth: imagesMask.width - 1,\n\t\t\t\t\t\theight: imagesMask.height - 1\n\t\t\t\t\t},\n\t\t\t\t\t$maskFrameOpacityStore\n\t\t\t\t);\n\n\t\t\t\tusedTextures.push(...drawShapes(shapesOutside));\n\t\t\t}\n\t\t}\n\n\t\t// crop mask not used for interface\n\t\tcanvasGL.disableMask();\n\n\t\t// frames rendered on the outside\n\t\t// draw custom interface shapes\n\t\tusedTextures.push(...drawShapes(interfaceShapes));\n\n\t\tinterfaceImages.forEach(image => {\n\t\t\tcanvasGL.enableMask(image.mask, image.maskOpacity);\n\n\t\t\t// draw background fill\n\t\t\tif (image.backgroundColor) {\n\t\t\t\t// calculate background image cover rect\n\t\t\t\tconst backgroundRect = imagesBackgroundImage && rectCoverRect({ ...image.mask }, imagesBackgroundImage.width / imagesBackgroundImage.height);\n\n\t\t\t\tconst backgroundImage = imagesBackgroundImage && getImageTexture(imagesBackgroundImage, 'linear');\n\t\t\t\tcanvasGL.drawRect(image.mask, 0, false, false, image.maskCornerRadius, image.backgroundColor, backgroundImage, backgroundRect, backgroundRect, undefined, undefined, undefined, undefined, image.opacity, image.maskFeather);\n\t\t\t\tbackgroundImage && usedTextures.push(backgroundImage);\n\t\t\t}\n\n\t\t\t// draw image\n\t\t\tconst texture = drawImageHelper({\n\t\t\t\t...image,\n\t\t\t\t// antialias edges\n\t\t\t\tenableAntialiasing: false,\n\t\t\t\t// update translation to apply `offset` from top left\n\t\t\t\ttranslation: {\n\t\t\t\t\tx: image.translation.x + image.offset.x - width * 0.5,\n\t\t\t\t\ty: image.translation.y + image.offset.y - height * 0.5\n\t\t\t\t}\n\t\t\t});\n\n\t\t\tusedTextures.push(texture);\n\t\t});\n\n\t\tcanvasGL.disableMask();\n\n\t\t// determine which textures can be dropped\n\t\treleaseUnusedTextures(usedTextures);\n\n\t\t// done rendering\n\t\tdidRender();\n\n\t\t// redraw force flag\n\t\tredrawForce = false;\n\t};\n\n\t//#endregion\n\t//#region set up\n\t// throttled redrawer\n\tlet throttledLastDrawTime = 0;\n\n\tlet throttledFinalRedrawTimeout;\n\n\tconst redrawThrottled = () => {\n\t\tclearTimeout(throttledFinalRedrawTimeout);\n\t\tconst now = Date.now();\n\t\tconst dist = now - throttledLastDrawTime;\n\n\t\tif (dist < throttledMinRedrawDist) {\n\t\t\tthrottledFinalRedrawTimeout = setTimeout(redrawThrottled, throttledMinRedrawDist);\n\t\t\treturn;\n\t\t}\n\n\t\tthrottledLastDrawTime = now;\n\t\tredraw();\n\t};\n\n\t// returns the render function to use for this browser context\n\tconst selectFittingRenderFunction = () => isSoftwareRendering() ? redrawThrottled : redraw;\n\n\t// after DOM has been altered, redraw to canvas\n\tafterUpdate(() => drawUpdate());\n\n\t// hook up canvas to WebGL drawer\n\tonMount(() => $$invalidate(29, canvasGL = createWebGLCanvas(canvas, { alpha: isTransparent })));\n\n\t// clean up canvas\n\tonDestroy(() => {\n\t\t// if canvas wasn't created we don't need to release it\n\t\tif (!canvasGL) return;\n\n\t\t// done drawing\n\t\tcanvasGL.release();\n\n\t\t// remove reference\n\t\t$$invalidate(29, canvasGL = undefined);\n\n\t\t$$invalidate(0, canvas = undefined);\n\t});\n\n\tfunction canvas_1_binding($$value) {\n\t\tbinding_callbacks[$$value ? 'unshift' : 'push'](() => {\n\t\t\tcanvas = $$value;\n\t\t\t$$invalidate(0, canvas);\n\t\t});\n\t}\n\n\tconst measure_handler = e => {\n\t\t$$invalidate(1, width = e.detail.width);\n\t\t$$invalidate(2, height = e.detail.height);\n\t\tdispatch('measure', { width, height });\n\t};\n\n\t$$self.$$set = $$props => {\n\t\tif ('isAnimated' in $$props) $$invalidate(9, isAnimated = $$props.isAnimated);\n\t\tif ('isTransparent' in $$props) $$invalidate(10, isTransparent = $$props.isTransparent);\n\t\tif ('maskRect' in $$props) $$invalidate(11, maskRect = $$props.maskRect);\n\t\tif ('maskOpacity' in $$props) $$invalidate(12, maskOpacity = $$props.maskOpacity);\n\t\tif ('maskFrameOpacity' in $$props) $$invalidate(13, maskFrameOpacity = $$props.maskFrameOpacity);\n\t\tif ('maskMarkupOpacity' in $$props) $$invalidate(14, maskMarkupOpacity = $$props.maskMarkupOpacity);\n\t\tif ('clipAnnotationsToImage' in $$props) $$invalidate(15, clipAnnotationsToImage = $$props.clipAnnotationsToImage);\n\t\tif ('pixelRatio' in $$props) $$invalidate(16, pixelRatio = $$props.pixelRatio);\n\t\tif ('textPixelRatio' in $$props) $$invalidate(17, textPixelRatio = $$props.textPixelRatio);\n\t\tif ('backgroundColor' in $$props) $$invalidate(18, backgroundColor = $$props.backgroundColor);\n\t\tif ('willRender' in $$props) $$invalidate(19, willRender = $$props.willRender);\n\t\tif ('didRender' in $$props) $$invalidate(20, didRender = $$props.didRender);\n\t\tif ('willRequest' in $$props) $$invalidate(21, willRequest = $$props.willRequest);\n\t\tif ('loadImageData' in $$props) $$invalidate(22, loadImageData = $$props.loadImageData);\n\t\tif ('enableGrid' in $$props) $$invalidate(23, enableGrid = $$props.enableGrid);\n\t\tif ('gridColors' in $$props) $$invalidate(24, gridColors = $$props.gridColors);\n\t\tif ('gridSize' in $$props) $$invalidate(25, gridSize = $$props.gridSize);\n\t\tif ('gridOpacity' in $$props) $$invalidate(26, gridOpacity = $$props.gridOpacity);\n\t\tif ('images' in $$props) $$invalidate(27, images = $$props.images);\n\t\tif ('interfaceImages' in $$props) $$invalidate(28, interfaceImages = $$props.interfaceImages);\n\t};\n\n\t$$self.$$.update = () => {\n\t\tif ($$self.$$.dirty[0] & /*canvas*/ 1) {\n\t\t\tif (canvas) {\n\t\t\t\tconst propertyValue = getComputedStyle(canvas).getPropertyValue('--color-transition-duration');\n\t\t\t\t$$invalidate(30, backgroundColorAnimationDuration = durationToMilliseconds(propertyValue));\n\t\t\t}\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*backgroundColor, isAnimated, backgroundColorAnimationDuration*/ 1074004480) {\n\t\t\tbackgroundColor && background.set(backgroundColor, {\n\t\t\t\tduration: isAnimated ? backgroundColorAnimationDuration : 0\n\t\t\t});\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*maskOpacity*/ 4096) {\n\t\t\tupdateSpring(maskOpacityStore, isNumber(maskOpacity) ? maskOpacity : 1);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*maskFrameOpacity*/ 8192) {\n\t\t\tupdateSpring(maskFrameOpacityStore, isNumber(maskFrameOpacity) ? maskFrameOpacity : 1);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*maskRect*/ 2048) {\n\t\t\tmaskRect && mask.set(maskRect);\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*$background, $maskOpacityStore*/ 12) {\n\t\t\t$background && imageOverlayColor.set([\n\t\t\t\t$background[0],\n\t\t\t\t$background[1],\n\t\t\t\t$background[2],\n\t\t\t\tclamp($maskOpacityStore, 0, 1)\n\t\t\t]);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*canvasGL, width, height, images*/ 671088646) {\n\t\t\t// can draw view\n\t\t\t$$invalidate(32, canDraw = !!(canvasGL && width && height && images.length));\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*width, height, canvasGL, pixelRatio*/ 536936454) {\n\t\t\t// observe width and height changes and resize the canvas proportionally\n\t\t\tif (width && height && canvasGL) {\n\t\t\t\t// need to reset last draw date so throttled redraw always runs redraw logic after resize\n\t\t\t\tthrottledLastDrawTime = 0;\n\n\t\t\t\t// resize canvas\n\t\t\t\tcanvasGL.resize(width, height, pixelRatio);\n\t\t\t}\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*canDraw*/ 2) {\n\t\t\t// switch to draw method when can draw\n\t\t\t$$invalidate(31, drawUpdate = canDraw ? selectFittingRenderFunction() : noop$1);\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*canDraw, drawUpdate*/ 3) {\n\t\t\t// if can draw state is updated and we have a draw update function, time to redraw\n\t\t\tcanDraw && drawUpdate && drawUpdate();\n\t\t}\n\t};\n\n\treturn [\n\t\tcanvas,\n\t\twidth,\n\t\theight,\n\t\tdispatch,\n\t\tbackground,\n\t\tmaskOpacityStore,\n\t\tmaskFrameOpacityStore,\n\t\tmask,\n\t\timageOverlayColor,\n\t\tisAnimated,\n\t\tisTransparent,\n\t\tmaskRect,\n\t\tmaskOpacity,\n\t\tmaskFrameOpacity,\n\t\tmaskMarkupOpacity,\n\t\tclipAnnotationsToImage,\n\t\tpixelRatio,\n\t\ttextPixelRatio,\n\t\tbackgroundColor,\n\t\twillRender,\n\t\tdidRender,\n\t\twillRequest,\n\t\tloadImageData,\n\t\tenableGrid,\n\t\tgridColors,\n\t\tgridSize,\n\t\tgridOpacity,\n\t\timages,\n\t\tinterfaceImages,\n\t\tcanvasGL,\n\t\tbackgroundColorAnimationDuration,\n\t\tdrawUpdate,\n\t\tcanDraw,\n\t\t$maskOpacityStore,\n\t\t$background,\n\t\tcanvas_1_binding,\n\t\tmeasure_handler\n\t];\n}\n\nclass Canvas extends SvelteComponent {\n\tconstructor(options) {\n\t\tsuper();\n\n\t\tinit(\n\t\t\tthis,\n\t\t\toptions,\n\t\t\tinstance$R,\n\t\t\tcreate_fragment$Q,\n\t\t\tsafe_not_equal,\n\t\t\t{\n\t\t\t\tisAnimated: 9,\n\t\t\t\tisTransparent: 10,\n\t\t\t\tmaskRect: 11,\n\t\t\t\tmaskOpacity: 12,\n\t\t\t\tmaskFrameOpacity: 13,\n\t\t\t\tmaskMarkupOpacity: 14,\n\t\t\t\tclipAnnotationsToImage: 15,\n\t\t\t\tpixelRatio: 16,\n\t\t\t\ttextPixelRatio: 17,\n\t\t\t\tbackgroundColor: 18,\n\t\t\t\twillRender: 19,\n\t\t\t\tdidRender: 20,\n\t\t\t\twillRequest: 21,\n\t\t\t\tloadImageData: 22,\n\t\t\t\tenableGrid: 23,\n\t\t\t\tgridColors: 24,\n\t\t\t\tgridSize: 25,\n\t\t\t\tgridOpacity: 26,\n\t\t\t\timages: 27,\n\t\t\t\tinterfaceImages: 28\n\t\t\t},\n\t\t\tnull,\n\t\t\t[-1, -1, -1]\n\t\t);\n\t}\n}\n\nvar arrayJoin = (arr, filter = Boolean, str = ' ') => arr.filter(filter).join(str);\n\n/* src/core/ui/components/TabList.svelte generated by Svelte v3.52.0 */\n\nfunction get_each_context$9(ctx, list, i) {\n\tconst child_ctx = ctx.slice();\n\tchild_ctx[17] = list[i];\n\treturn child_ctx;\n}\n\nconst get_default_slot_changes$1 = dirty => ({ tab: dirty & /*tabNodes*/ 4 });\nconst get_default_slot_context$1 = ctx => ({ tab: /*tab*/ ctx[17] });\n\n// (52:0) {#if shouldRender}\nfunction create_if_block$h(ctx) {\n\tlet ul;\n\tlet each_blocks = [];\n\tlet each_1_lookup = new Map();\n\tlet ul_class_value;\n\tlet current;\n\tlet each_value = /*tabNodes*/ ctx[2];\n\tconst get_key = ctx => /*tab*/ ctx[17].id;\n\n\tfor (let i = 0; i < each_value.length; i += 1) {\n\t\tlet child_ctx = get_each_context$9(ctx, each_value, i);\n\t\tlet key = get_key(child_ctx);\n\t\teach_1_lookup.set(key, each_blocks[i] = create_each_block$9(key, child_ctx));\n\t}\n\n\treturn {\n\t\tc() {\n\t\t\tul = element(\"ul\");\n\n\t\t\tfor (let i = 0; i < each_blocks.length; i += 1) {\n\t\t\t\teach_blocks[i].c();\n\t\t\t}\n\n\t\t\tattr(ul, \"class\", ul_class_value = arrayJoin(['PinturaTabList', /*klass*/ ctx[0]]));\n\t\t\tattr(ul, \"role\", \"tablist\");\n\t\t\tattr(ul, \"data-layout\", /*layout*/ ctx[1]);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, ul, anchor);\n\n\t\t\tfor (let i = 0; i < each_blocks.length; i += 1) {\n\t\t\t\teach_blocks[i].m(ul, null);\n\t\t\t}\n\n\t\t\t/*ul_binding*/ ctx[14](ul);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tif (dirty & /*tabNodes, handleKeyTab, handleClickTab, $$scope*/ 1124) {\n\t\t\t\teach_value = /*tabNodes*/ ctx[2];\n\t\t\t\tgroup_outros();\n\t\t\t\teach_blocks = update_keyed_each(each_blocks, dirty, get_key, 1, ctx, each_value, each_1_lookup, ul, outro_and_destroy_block, create_each_block$9, null, get_each_context$9);\n\t\t\t\tcheck_outros();\n\t\t\t}\n\n\t\t\tif (!current || dirty & /*klass*/ 1 && ul_class_value !== (ul_class_value = arrayJoin(['PinturaTabList', /*klass*/ ctx[0]]))) {\n\t\t\t\tattr(ul, \"class\", ul_class_value);\n\t\t\t}\n\n\t\t\tif (!current || dirty & /*layout*/ 2) {\n\t\t\t\tattr(ul, \"data-layout\", /*layout*/ ctx[1]);\n\t\t\t}\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\n\t\t\tfor (let i = 0; i < each_value.length; i += 1) {\n\t\t\t\ttransition_in(each_blocks[i]);\n\t\t\t}\n\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\tfor (let i = 0; i < each_blocks.length; i += 1) {\n\t\t\t\ttransition_out(each_blocks[i]);\n\t\t\t}\n\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(ul);\n\n\t\t\tfor (let i = 0; i < each_blocks.length; i += 1) {\n\t\t\t\teach_blocks[i].d();\n\t\t\t}\n\n\t\t\t/*ul_binding*/ ctx[14](null);\n\t\t}\n\t};\n}\n\n// (59:8) {#each tabNodes as tab (tab.id)}\nfunction create_each_block$9(key_1, ctx) {\n\tlet li;\n\tlet button;\n\tlet button_disabled_value;\n\tlet t;\n\tlet li_aria_controls_value;\n\tlet li_id_value;\n\tlet li_aria_selected_value;\n\tlet current;\n\tlet mounted;\n\tlet dispose;\n\tconst default_slot_template = /*#slots*/ ctx[11].default;\n\tconst default_slot = create_slot(default_slot_template, ctx, /*$$scope*/ ctx[10], get_default_slot_context$1);\n\n\tfunction keydown_handler(...args) {\n\t\treturn /*keydown_handler*/ ctx[12](/*tab*/ ctx[17], ...args);\n\t}\n\n\tfunction click_handler(...args) {\n\t\treturn /*click_handler*/ ctx[13](/*tab*/ ctx[17], ...args);\n\t}\n\n\treturn {\n\t\tkey: key_1,\n\t\tfirst: null,\n\t\tc() {\n\t\t\tli = element(\"li\");\n\t\t\tbutton = element(\"button\");\n\t\t\tif (default_slot) default_slot.c();\n\t\t\tt = space();\n\t\t\tattr(button, \"type\", \"button\");\n\t\t\tbutton.disabled = button_disabled_value = /*tab*/ ctx[17].disabled;\n\t\t\tattr(li, \"role\", \"tab\");\n\t\t\tattr(li, \"aria-controls\", li_aria_controls_value = /*tab*/ ctx[17].href.substr(1));\n\t\t\tattr(li, \"id\", li_id_value = /*tab*/ ctx[17].tabId);\n\t\t\tattr(li, \"aria-selected\", li_aria_selected_value = /*tab*/ ctx[17].selected);\n\t\t\tthis.first = li;\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, li, anchor);\n\t\t\tappend(li, button);\n\n\t\t\tif (default_slot) {\n\t\t\t\tdefault_slot.m(button, null);\n\t\t\t}\n\n\t\t\tappend(li, t);\n\t\t\tcurrent = true;\n\n\t\t\tif (!mounted) {\n\t\t\t\tdispose = [\n\t\t\t\t\tlisten(button, \"keydown\", keydown_handler),\n\t\t\t\t\tlisten(button, \"click\", click_handler)\n\t\t\t\t];\n\n\t\t\t\tmounted = true;\n\t\t\t}\n\t\t},\n\t\tp(new_ctx, dirty) {\n\t\t\tctx = new_ctx;\n\n\t\t\tif (default_slot) {\n\t\t\t\tif (default_slot.p && (!current || dirty & /*$$scope, tabNodes*/ 1028)) {\n\t\t\t\t\tupdate_slot_base(\n\t\t\t\t\t\tdefault_slot,\n\t\t\t\t\t\tdefault_slot_template,\n\t\t\t\t\t\tctx,\n\t\t\t\t\t\t/*$$scope*/ ctx[10],\n\t\t\t\t\t\t!current\n\t\t\t\t\t\t? get_all_dirty_from_scope(/*$$scope*/ ctx[10])\n\t\t\t\t\t\t: get_slot_changes(default_slot_template, /*$$scope*/ ctx[10], dirty, get_default_slot_changes$1),\n\t\t\t\t\t\tget_default_slot_context$1\n\t\t\t\t\t);\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tif (!current || dirty & /*tabNodes*/ 4 && button_disabled_value !== (button_disabled_value = /*tab*/ ctx[17].disabled)) {\n\t\t\t\tbutton.disabled = button_disabled_value;\n\t\t\t}\n\n\t\t\tif (!current || dirty & /*tabNodes*/ 4 && li_aria_controls_value !== (li_aria_controls_value = /*tab*/ ctx[17].href.substr(1))) {\n\t\t\t\tattr(li, \"aria-controls\", li_aria_controls_value);\n\t\t\t}\n\n\t\t\tif (!current || dirty & /*tabNodes*/ 4 && li_id_value !== (li_id_value = /*tab*/ ctx[17].tabId)) {\n\t\t\t\tattr(li, \"id\", li_id_value);\n\t\t\t}\n\n\t\t\tif (!current || dirty & /*tabNodes*/ 4 && li_aria_selected_value !== (li_aria_selected_value = /*tab*/ ctx[17].selected)) {\n\t\t\t\tattr(li, \"aria-selected\", li_aria_selected_value);\n\t\t\t}\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(default_slot, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(default_slot, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(li);\n\t\t\tif (default_slot) default_slot.d(detaching);\n\t\t\tmounted = false;\n\t\t\trun_all(dispose);\n\t\t}\n\t};\n}\n\nfunction create_fragment$P(ctx) {\n\tlet if_block_anchor;\n\tlet current;\n\tlet if_block = /*shouldRender*/ ctx[4] && create_if_block$h(ctx);\n\n\treturn {\n\t\tc() {\n\t\t\tif (if_block) if_block.c();\n\t\t\tif_block_anchor = empty();\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tif (if_block) if_block.m(target, anchor);\n\t\t\tinsert(target, if_block_anchor, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, [dirty]) {\n\t\t\tif (/*shouldRender*/ ctx[4]) {\n\t\t\t\tif (if_block) {\n\t\t\t\t\tif_block.p(ctx, dirty);\n\n\t\t\t\t\tif (dirty & /*shouldRender*/ 16) {\n\t\t\t\t\t\ttransition_in(if_block, 1);\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tif_block = create_if_block$h(ctx);\n\t\t\t\t\tif_block.c();\n\t\t\t\t\ttransition_in(if_block, 1);\n\t\t\t\t\tif_block.m(if_block_anchor.parentNode, if_block_anchor);\n\t\t\t\t}\n\t\t\t} else if (if_block) {\n\t\t\t\tgroup_outros();\n\n\t\t\t\ttransition_out(if_block, 1, 1, () => {\n\t\t\t\t\tif_block = null;\n\t\t\t\t});\n\n\t\t\t\tcheck_outros();\n\t\t\t}\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(if_block);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(if_block);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (if_block) if_block.d(detaching);\n\t\t\tif (detaching) detach(if_block_anchor);\n\t\t}\n\t};\n}\n\nfunction instance$Q($$self, $$props, $$invalidate) {\n\tlet tabNodes;\n\tlet shouldRender;\n\tlet { $$slots: slots = {}, $$scope } = $$props;\n\tlet root;\n\tlet { class: klass = undefined } = $$props;\n\tlet { name } = $$props;\n\tlet { selected } = $$props;\n\tlet { tabs = [] } = $$props;\n\tlet { layout = undefined } = $$props;\n\tconst dispatch = createEventDispatcher();\n\n\tconst focusTab = index => {\n\t\tconst tab = root.querySelectorAll('[role=\"tab\"] button')[index];\n\t\tif (!tab) return;\n\t\ttab.focus();\n\t};\n\n\tconst handleClickTab = (e, id) => {\n\t\te.preventDefault();\n\t\te.stopPropagation();\n\t\tdispatch('select', id);\n\t};\n\n\tconst handleKeyTab = ({ key }, id) => {\n\t\tif (!(/arrow/i).test(key)) return;\n\t\tconst index = tabs.findIndex(tab => tab.id === id);\n\n\t\t// next\n\t\tif ((/right|down/i).test(key)) return focusTab(index < tabs.length - 1 ? index + 1 : 0);\n\n\t\t// prev\n\t\tif ((/left|up/i).test(key)) return focusTab(index > 0 ? index - 1 : tabs.length - 1);\n\t};\n\n\tconst keydown_handler = (tab, e) => handleKeyTab(e, tab.id);\n\tconst click_handler = (tab, e) => handleClickTab(e, tab.id);\n\n\tfunction ul_binding($$value) {\n\t\tbinding_callbacks[$$value ? 'unshift' : 'push'](() => {\n\t\t\troot = $$value;\n\t\t\t$$invalidate(3, root);\n\t\t});\n\t}\n\n\t$$self.$$set = $$props => {\n\t\tif ('class' in $$props) $$invalidate(0, klass = $$props.class);\n\t\tif ('name' in $$props) $$invalidate(7, name = $$props.name);\n\t\tif ('selected' in $$props) $$invalidate(8, selected = $$props.selected);\n\t\tif ('tabs' in $$props) $$invalidate(9, tabs = $$props.tabs);\n\t\tif ('layout' in $$props) $$invalidate(1, layout = $$props.layout);\n\t\tif ('$$scope' in $$props) $$invalidate(10, $$scope = $$props.$$scope);\n\t};\n\n\t$$self.$$.update = () => {\n\t\tif ($$self.$$.dirty & /*tabs, selected, name*/ 896) {\n\t\t\t$$invalidate(2, tabNodes = tabs.map(tab => {\n\t\t\t\tconst isActive = tab.id === selected;\n\n\t\t\t\treturn {\n\t\t\t\t\t...tab,\n\t\t\t\t\ttabId: `tab-${name}-${tab.id}`,\n\t\t\t\t\thref: `#panel-${name}-${tab.id}`,\n\t\t\t\t\tselected: isActive\n\t\t\t\t};\n\t\t\t}));\n\t\t}\n\n\t\tif ($$self.$$.dirty & /*tabNodes*/ 4) {\n\t\t\t$$invalidate(4, shouldRender = tabNodes.length > 1);\n\t\t}\n\t};\n\n\treturn [\n\t\tklass,\n\t\tlayout,\n\t\ttabNodes,\n\t\troot,\n\t\tshouldRender,\n\t\thandleClickTab,\n\t\thandleKeyTab,\n\t\tname,\n\t\tselected,\n\t\ttabs,\n\t\t$$scope,\n\t\tslots,\n\t\tkeydown_handler,\n\t\tclick_handler,\n\t\tul_binding\n\t];\n}\n\nclass TabList extends SvelteComponent {\n\tconstructor(options) {\n\t\tsuper();\n\n\t\tinit(this, options, instance$Q, create_fragment$P, safe_not_equal, {\n\t\t\tclass: 0,\n\t\t\tname: 7,\n\t\t\tselected: 8,\n\t\t\ttabs: 9,\n\t\t\tlayout: 1\n\t\t});\n\t}\n}\n\n/* src/core/ui/components/TabPanels.svelte generated by Svelte v3.52.0 */\nconst get_default_slot_changes_1 = dirty => ({ panel: dirty & /*panelNodes*/ 16 });\n\nconst get_default_slot_context_1 = ctx => ({\n\tpanel: /*panelNodes*/ ctx[4][0].id,\n\tpanelIsActive: true\n});\n\nfunction get_each_context$8(ctx, list, i) {\n\tconst child_ctx = ctx.slice();\n\tchild_ctx[14] = list[i].id;\n\tchild_ctx[15] = list[i].shouldDraw;\n\tchild_ctx[16] = list[i].panelId;\n\tchild_ctx[17] = list[i].tabindex;\n\tchild_ctx[18] = list[i].labelledBy;\n\tchild_ctx[19] = list[i].isActive;\n\tchild_ctx[20] = list[i].hidden;\n\tchild_ctx[3] = list[i].visible;\n\treturn child_ctx;\n}\n\nconst get_default_slot_changes = dirty => ({\n\tpanel: dirty & /*panelNodes*/ 16,\n\tpanelIsActive: dirty & /*panelNodes*/ 16\n});\n\nconst get_default_slot_context = ctx => ({\n\tpanel: /*id*/ ctx[14],\n\tpanelIsActive: /*isActive*/ ctx[19]\n});\n\n// (60:0) {:else}\nfunction create_else_block$6(ctx) {\n\tlet div1;\n\tlet div0;\n\tlet div0_class_value;\n\tlet current;\n\tlet mounted;\n\tlet dispose;\n\tconst default_slot_template = /*#slots*/ ctx[11].default;\n\tconst default_slot = create_slot(default_slot_template, ctx, /*$$scope*/ ctx[10], get_default_slot_context_1);\n\n\treturn {\n\t\tc() {\n\t\t\tdiv1 = element(\"div\");\n\t\t\tdiv0 = element(\"div\");\n\t\t\tif (default_slot) default_slot.c();\n\t\t\tattr(div0, \"class\", div0_class_value = arrayJoin([/*panelClass*/ ctx[1]]));\n\t\t\tattr(div1, \"class\", /*klass*/ ctx[0]);\n\t\t\tattr(div1, \"style\", /*style*/ ctx[2]);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, div1, anchor);\n\t\t\tappend(div1, div0);\n\n\t\t\tif (default_slot) {\n\t\t\t\tdefault_slot.m(div0, null);\n\t\t\t}\n\n\t\t\tcurrent = true;\n\n\t\t\tif (!mounted) {\n\t\t\t\tdispose = [\n\t\t\t\t\tlisten(div1, \"measure\", /*measure_handler_1*/ ctx[13]),\n\t\t\t\t\taction_destroyer(measurable.call(null, div1))\n\t\t\t\t];\n\n\t\t\t\tmounted = true;\n\t\t\t}\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tif (default_slot) {\n\t\t\t\tif (default_slot.p && (!current || dirty & /*$$scope, panelNodes*/ 1040)) {\n\t\t\t\t\tupdate_slot_base(\n\t\t\t\t\t\tdefault_slot,\n\t\t\t\t\t\tdefault_slot_template,\n\t\t\t\t\t\tctx,\n\t\t\t\t\t\t/*$$scope*/ ctx[10],\n\t\t\t\t\t\t!current\n\t\t\t\t\t\t? get_all_dirty_from_scope(/*$$scope*/ ctx[10])\n\t\t\t\t\t\t: get_slot_changes(default_slot_template, /*$$scope*/ ctx[10], dirty, get_default_slot_changes_1),\n\t\t\t\t\t\tget_default_slot_context_1\n\t\t\t\t\t);\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tif (!current || dirty & /*panelClass*/ 2 && div0_class_value !== (div0_class_value = arrayJoin([/*panelClass*/ ctx[1]]))) {\n\t\t\t\tattr(div0, \"class\", div0_class_value);\n\t\t\t}\n\n\t\t\tif (!current || dirty & /*klass*/ 1) {\n\t\t\t\tattr(div1, \"class\", /*klass*/ ctx[0]);\n\t\t\t}\n\n\t\t\tif (!current || dirty & /*style*/ 4) {\n\t\t\t\tattr(div1, \"style\", /*style*/ ctx[2]);\n\t\t\t}\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(default_slot, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(default_slot, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(div1);\n\t\t\tif (default_slot) default_slot.d(detaching);\n\t\t\tmounted = false;\n\t\t\trun_all(dispose);\n\t\t}\n\t};\n}\n\n// (39:0) {#if shouldRender}\nfunction create_if_block$g(ctx) {\n\tlet div;\n\tlet each_blocks = [];\n\tlet each_1_lookup = new Map();\n\tlet div_class_value;\n\tlet current;\n\tlet mounted;\n\tlet dispose;\n\tlet each_value = /*panelNodes*/ ctx[4];\n\tconst get_key = ctx => /*id*/ ctx[14];\n\n\tfor (let i = 0; i < each_value.length; i += 1) {\n\t\tlet child_ctx = get_each_context$8(ctx, each_value, i);\n\t\tlet key = get_key(child_ctx);\n\t\teach_1_lookup.set(key, each_blocks[i] = create_each_block$8(key, child_ctx));\n\t}\n\n\treturn {\n\t\tc() {\n\t\t\tdiv = element(\"div\");\n\n\t\t\tfor (let i = 0; i < each_blocks.length; i += 1) {\n\t\t\t\teach_blocks[i].c();\n\t\t\t}\n\n\t\t\tattr(div, \"class\", div_class_value = arrayJoin(['PinturaTabPanels', /*klass*/ ctx[0]]));\n\t\t\tattr(div, \"style\", /*style*/ ctx[2]);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, div, anchor);\n\n\t\t\tfor (let i = 0; i < each_blocks.length; i += 1) {\n\t\t\t\teach_blocks[i].m(div, null);\n\t\t\t}\n\n\t\t\tcurrent = true;\n\n\t\t\tif (!mounted) {\n\t\t\t\tdispose = [\n\t\t\t\t\tlisten(div, \"measure\", /*measure_handler*/ ctx[12]),\n\t\t\t\t\taction_destroyer(measurable.call(null, div, { observePosition: true }))\n\t\t\t\t];\n\n\t\t\t\tmounted = true;\n\t\t\t}\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tif (dirty & /*arrayJoin, panelClass, panelNodes, $$scope*/ 1042) {\n\t\t\t\teach_value = /*panelNodes*/ ctx[4];\n\t\t\t\tgroup_outros();\n\t\t\t\teach_blocks = update_keyed_each(each_blocks, dirty, get_key, 1, ctx, each_value, each_1_lookup, div, outro_and_destroy_block, create_each_block$8, null, get_each_context$8);\n\t\t\t\tcheck_outros();\n\t\t\t}\n\n\t\t\tif (!current || dirty & /*klass*/ 1 && div_class_value !== (div_class_value = arrayJoin(['PinturaTabPanels', /*klass*/ ctx[0]]))) {\n\t\t\t\tattr(div, \"class\", div_class_value);\n\t\t\t}\n\n\t\t\tif (!current || dirty & /*style*/ 4) {\n\t\t\t\tattr(div, \"style\", /*style*/ ctx[2]);\n\t\t\t}\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\n\t\t\tfor (let i = 0; i < each_value.length; i += 1) {\n\t\t\t\ttransition_in(each_blocks[i]);\n\t\t\t}\n\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\tfor (let i = 0; i < each_blocks.length; i += 1) {\n\t\t\t\ttransition_out(each_blocks[i]);\n\t\t\t}\n\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(div);\n\n\t\t\tfor (let i = 0; i < each_blocks.length; i += 1) {\n\t\t\t\teach_blocks[i].d();\n\t\t\t}\n\n\t\t\tmounted = false;\n\t\t\trun_all(dispose);\n\t\t}\n\t};\n}\n\n// (56:16) {#if shouldDraw}\nfunction create_if_block_1$e(ctx) {\n\tlet current;\n\tconst default_slot_template = /*#slots*/ ctx[11].default;\n\tconst default_slot = create_slot(default_slot_template, ctx, /*$$scope*/ ctx[10], get_default_slot_context);\n\n\treturn {\n\t\tc() {\n\t\t\tif (default_slot) default_slot.c();\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tif (default_slot) {\n\t\t\t\tdefault_slot.m(target, anchor);\n\t\t\t}\n\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tif (default_slot) {\n\t\t\t\tif (default_slot.p && (!current || dirty & /*$$scope, panelNodes*/ 1040)) {\n\t\t\t\t\tupdate_slot_base(\n\t\t\t\t\t\tdefault_slot,\n\t\t\t\t\t\tdefault_slot_template,\n\t\t\t\t\t\tctx,\n\t\t\t\t\t\t/*$$scope*/ ctx[10],\n\t\t\t\t\t\t!current\n\t\t\t\t\t\t? get_all_dirty_from_scope(/*$$scope*/ ctx[10])\n\t\t\t\t\t\t: get_slot_changes(default_slot_template, /*$$scope*/ ctx[10], dirty, get_default_slot_changes),\n\t\t\t\t\t\tget_default_slot_context\n\t\t\t\t\t);\n\t\t\t\t}\n\t\t\t}\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(default_slot, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(default_slot, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (default_slot) default_slot.d(detaching);\n\t\t}\n\t};\n}\n\n// (47:8) {#each panelNodes as { id, shouldDraw, panelId, tabindex, labelledBy, isActive, hidden, visible }\nfunction create_each_block$8(key_1, ctx) {\n\tlet div;\n\tlet t;\n\tlet div_class_value;\n\tlet div_hidden_value;\n\tlet div_id_value;\n\tlet div_tabindex_value;\n\tlet div_aria_labelledby_value;\n\tlet div_data_inert_value;\n\tlet current;\n\tlet if_block = /*shouldDraw*/ ctx[15] && create_if_block_1$e(ctx);\n\n\treturn {\n\t\tkey: key_1,\n\t\tfirst: null,\n\t\tc() {\n\t\t\tdiv = element(\"div\");\n\t\t\tif (if_block) if_block.c();\n\t\t\tt = space();\n\t\t\tattr(div, \"class\", div_class_value = arrayJoin(['PinturaTabPanel', /*panelClass*/ ctx[1]]));\n\t\t\tdiv.hidden = div_hidden_value = /*hidden*/ ctx[20];\n\t\t\tattr(div, \"id\", div_id_value = /*panelId*/ ctx[16]);\n\t\t\tattr(div, \"tabindex\", div_tabindex_value = /*tabindex*/ ctx[17]);\n\t\t\tattr(div, \"aria-labelledby\", div_aria_labelledby_value = /*labelledBy*/ ctx[18]);\n\t\t\tattr(div, \"data-inert\", div_data_inert_value = !/*visible*/ ctx[3]);\n\t\t\tthis.first = div;\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, div, anchor);\n\t\t\tif (if_block) if_block.m(div, null);\n\t\t\tappend(div, t);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(new_ctx, dirty) {\n\t\t\tctx = new_ctx;\n\n\t\t\tif (/*shouldDraw*/ ctx[15]) {\n\t\t\t\tif (if_block) {\n\t\t\t\t\tif_block.p(ctx, dirty);\n\n\t\t\t\t\tif (dirty & /*panelNodes*/ 16) {\n\t\t\t\t\t\ttransition_in(if_block, 1);\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tif_block = create_if_block_1$e(ctx);\n\t\t\t\t\tif_block.c();\n\t\t\t\t\ttransition_in(if_block, 1);\n\t\t\t\t\tif_block.m(div, t);\n\t\t\t\t}\n\t\t\t} else if (if_block) {\n\t\t\t\tgroup_outros();\n\n\t\t\t\ttransition_out(if_block, 1, 1, () => {\n\t\t\t\t\tif_block = null;\n\t\t\t\t});\n\n\t\t\t\tcheck_outros();\n\t\t\t}\n\n\t\t\tif (!current || dirty & /*panelClass*/ 2 && div_class_value !== (div_class_value = arrayJoin(['PinturaTabPanel', /*panelClass*/ ctx[1]]))) {\n\t\t\t\tattr(div, \"class\", div_class_value);\n\t\t\t}\n\n\t\t\tif (!current || dirty & /*panelNodes*/ 16 && div_hidden_value !== (div_hidden_value = /*hidden*/ ctx[20])) {\n\t\t\t\tdiv.hidden = div_hidden_value;\n\t\t\t}\n\n\t\t\tif (!current || dirty & /*panelNodes*/ 16 && div_id_value !== (div_id_value = /*panelId*/ ctx[16])) {\n\t\t\t\tattr(div, \"id\", div_id_value);\n\t\t\t}\n\n\t\t\tif (!current || dirty & /*panelNodes*/ 16 && div_tabindex_value !== (div_tabindex_value = /*tabindex*/ ctx[17])) {\n\t\t\t\tattr(div, \"tabindex\", div_tabindex_value);\n\t\t\t}\n\n\t\t\tif (!current || dirty & /*panelNodes*/ 16 && div_aria_labelledby_value !== (div_aria_labelledby_value = /*labelledBy*/ ctx[18])) {\n\t\t\t\tattr(div, \"aria-labelledby\", div_aria_labelledby_value);\n\t\t\t}\n\n\t\t\tif (!current || dirty & /*panelNodes*/ 16 && div_data_inert_value !== (div_data_inert_value = !/*visible*/ ctx[3])) {\n\t\t\t\tattr(div, \"data-inert\", div_data_inert_value);\n\t\t\t}\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(if_block);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(if_block);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(div);\n\t\t\tif (if_block) if_block.d();\n\t\t}\n\t};\n}\n\nfunction create_fragment$O(ctx) {\n\tlet current_block_type_index;\n\tlet if_block;\n\tlet if_block_anchor;\n\tlet current;\n\tconst if_block_creators = [create_if_block$g, create_else_block$6];\n\tconst if_blocks = [];\n\n\tfunction select_block_type(ctx, dirty) {\n\t\tif (/*shouldRender*/ ctx[5]) return 0;\n\t\treturn 1;\n\t}\n\n\tcurrent_block_type_index = select_block_type(ctx);\n\tif_block = if_blocks[current_block_type_index] = if_block_creators[current_block_type_index](ctx);\n\n\treturn {\n\t\tc() {\n\t\t\tif_block.c();\n\t\t\tif_block_anchor = empty();\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tif_blocks[current_block_type_index].m(target, anchor);\n\t\t\tinsert(target, if_block_anchor, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, [dirty]) {\n\t\t\tlet previous_block_index = current_block_type_index;\n\t\t\tcurrent_block_type_index = select_block_type(ctx);\n\n\t\t\tif (current_block_type_index === previous_block_index) {\n\t\t\t\tif_blocks[current_block_type_index].p(ctx, dirty);\n\t\t\t} else {\n\t\t\t\tgroup_outros();\n\n\t\t\t\ttransition_out(if_blocks[previous_block_index], 1, 1, () => {\n\t\t\t\t\tif_blocks[previous_block_index] = null;\n\t\t\t\t});\n\n\t\t\t\tcheck_outros();\n\t\t\t\tif_block = if_blocks[current_block_type_index];\n\n\t\t\t\tif (!if_block) {\n\t\t\t\t\tif_block = if_blocks[current_block_type_index] = if_block_creators[current_block_type_index](ctx);\n\t\t\t\t\tif_block.c();\n\t\t\t\t} else {\n\t\t\t\t\tif_block.p(ctx, dirty);\n\t\t\t\t}\n\n\t\t\t\ttransition_in(if_block, 1);\n\t\t\t\tif_block.m(if_block_anchor.parentNode, if_block_anchor);\n\t\t\t}\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(if_block);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(if_block);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif_blocks[current_block_type_index].d(detaching);\n\t\t\tif (detaching) detach(if_block_anchor);\n\t\t}\n\t};\n}\n\nfunction instance$P($$self, $$props, $$invalidate) {\n\tlet panelNodes;\n\tlet shouldRender;\n\tlet { $$slots: slots = {}, $$scope } = $$props;\n\tlet { class: klass = undefined } = $$props;\n\tlet { name } = $$props;\n\tlet { selected } = $$props;\n\tlet { panelClass = undefined } = $$props;\n\tlet { panels = [] } = $$props;\n\tlet { visible = undefined } = $$props;\n\tlet { style = undefined } = $$props;\n\tconst drawCache = {};\n\n\tfunction measure_handler(event) {\n\t\tbubble.call(this, $$self, event);\n\t}\n\n\tfunction measure_handler_1(event) {\n\t\tbubble.call(this, $$self, event);\n\t}\n\n\t$$self.$$set = $$props => {\n\t\tif ('class' in $$props) $$invalidate(0, klass = $$props.class);\n\t\tif ('name' in $$props) $$invalidate(6, name = $$props.name);\n\t\tif ('selected' in $$props) $$invalidate(7, selected = $$props.selected);\n\t\tif ('panelClass' in $$props) $$invalidate(1, panelClass = $$props.panelClass);\n\t\tif ('panels' in $$props) $$invalidate(8, panels = $$props.panels);\n\t\tif ('visible' in $$props) $$invalidate(3, visible = $$props.visible);\n\t\tif ('style' in $$props) $$invalidate(2, style = $$props.style);\n\t\tif ('$$scope' in $$props) $$invalidate(10, $$scope = $$props.$$scope);\n\t};\n\n\t$$self.$$.update = () => {\n\t\tif ($$self.$$.dirty & /*panels, selected, visible, name, drawCache*/ 968) {\n\t\t\t$$invalidate(4, panelNodes = panels.map(id => {\n\t\t\t\tconst isActive = id === selected;\n\n\t\t\t\t// remember that this tab was active so we keep drawing it even when it's inactive, speeds up page rendering\n\t\t\t\tif (isActive) $$invalidate(9, drawCache[id] = true, drawCache);\n\n\t\t\t\tconst isVisible = visible ? visible.indexOf(id) !== -1 : isActive;\n\n\t\t\t\treturn {\n\t\t\t\t\tid,\n\t\t\t\t\tpanelId: `panel-${name}-${id}`,\n\t\t\t\t\tlabelledBy: `tab-${name}-${id}`,\n\t\t\t\t\tisActive,\n\t\t\t\t\thidden: !isActive,\n\t\t\t\t\tvisible: isVisible,\n\t\t\t\t\ttabindex: isActive ? 0 : -1,\n\t\t\t\t\tshouldDraw: isActive || drawCache[id]\n\t\t\t\t};\n\t\t\t}));\n\t\t}\n\n\t\tif ($$self.$$.dirty & /*panelNodes*/ 16) {\n\t\t\t$$invalidate(5, shouldRender = panelNodes.length > 1);\n\t\t}\n\t};\n\n\treturn [\n\t\tklass,\n\t\tpanelClass,\n\t\tstyle,\n\t\tvisible,\n\t\tpanelNodes,\n\t\tshouldRender,\n\t\tname,\n\t\tselected,\n\t\tpanels,\n\t\tdrawCache,\n\t\t$$scope,\n\t\tslots,\n\t\tmeasure_handler,\n\t\tmeasure_handler_1\n\t];\n}\n\nclass TabPanels extends SvelteComponent {\n\tconstructor(options) {\n\t\tsuper();\n\n\t\tinit(this, options, instance$P, create_fragment$O, safe_not_equal, {\n\t\t\tclass: 0,\n\t\t\tname: 6,\n\t\t\tselected: 7,\n\t\t\tpanelClass: 1,\n\t\t\tpanels: 8,\n\t\t\tvisible: 3,\n\t\t\tstyle: 2\n\t\t});\n\t}\n}\n\nvar getComponentExportedProps = (Component) => {\n    const descriptors = Object.getOwnPropertyDescriptors(Component.prototype);\n    return Object.keys(descriptors).filter((key) => !!descriptors[key]['get']);\n};\n\n/* src/core/ui/components/UtilPanel.svelte generated by Svelte v3.52.0 */\n\nfunction create_if_block$f(ctx) {\n\tlet switch_instance;\n\tlet updating_name;\n\tlet switch_instance_anchor;\n\tlet current;\n\tconst switch_instance_spread_levels = [/*componentProps*/ ctx[4]];\n\n\tfunction switch_instance_name_binding(value) {\n\t\t/*switch_instance_name_binding*/ ctx[22](value);\n\t}\n\n\tvar switch_value = /*ComponentView*/ ctx[10];\n\n\tfunction switch_props(ctx) {\n\t\tlet switch_instance_props = {};\n\n\t\tfor (let i = 0; i < switch_instance_spread_levels.length; i += 1) {\n\t\t\tswitch_instance_props = assign(switch_instance_props, switch_instance_spread_levels[i]);\n\t\t}\n\n\t\tif (/*panelName*/ ctx[2] !== void 0) {\n\t\t\tswitch_instance_props.name = /*panelName*/ ctx[2];\n\t\t}\n\n\t\treturn { props: switch_instance_props };\n\t}\n\n\tif (switch_value) {\n\t\tswitch_instance = construct_svelte_component(switch_value, switch_props(ctx));\n\t\tbinding_callbacks.push(() => bind(switch_instance, 'name', switch_instance_name_binding));\n\t\t/*switch_instance_binding*/ ctx[23](switch_instance);\n\t\tswitch_instance.$on(\"measure\", /*handleMeasure*/ ctx[11]);\n\t}\n\n\treturn {\n\t\tc() {\n\t\t\tif (switch_instance) create_component(switch_instance.$$.fragment);\n\t\t\tswitch_instance_anchor = empty();\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tif (switch_instance) mount_component(switch_instance, target, anchor);\n\t\t\tinsert(target, switch_instance_anchor, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tconst switch_instance_changes = (dirty[0] & /*componentProps*/ 16)\n\t\t\t? get_spread_update(switch_instance_spread_levels, [get_spread_object(/*componentProps*/ ctx[4])])\n\t\t\t: {};\n\n\t\t\tif (!updating_name && dirty[0] & /*panelName*/ 4) {\n\t\t\t\tupdating_name = true;\n\t\t\t\tswitch_instance_changes.name = /*panelName*/ ctx[2];\n\t\t\t\tadd_flush_callback(() => updating_name = false);\n\t\t\t}\n\n\t\t\tif (switch_value !== (switch_value = /*ComponentView*/ ctx[10])) {\n\t\t\t\tif (switch_instance) {\n\t\t\t\t\tgroup_outros();\n\t\t\t\t\tconst old_component = switch_instance;\n\n\t\t\t\t\ttransition_out(old_component.$$.fragment, 1, 0, () => {\n\t\t\t\t\t\tdestroy_component(old_component, 1);\n\t\t\t\t\t});\n\n\t\t\t\t\tcheck_outros();\n\t\t\t\t}\n\n\t\t\t\tif (switch_value) {\n\t\t\t\t\tswitch_instance = construct_svelte_component(switch_value, switch_props(ctx));\n\t\t\t\t\tbinding_callbacks.push(() => bind(switch_instance, 'name', switch_instance_name_binding));\n\t\t\t\t\t/*switch_instance_binding*/ ctx[23](switch_instance);\n\t\t\t\t\tswitch_instance.$on(\"measure\", /*handleMeasure*/ ctx[11]);\n\t\t\t\t\tcreate_component(switch_instance.$$.fragment);\n\t\t\t\t\ttransition_in(switch_instance.$$.fragment, 1);\n\t\t\t\t\tmount_component(switch_instance, switch_instance_anchor.parentNode, switch_instance_anchor);\n\t\t\t\t} else {\n\t\t\t\t\tswitch_instance = null;\n\t\t\t\t}\n\t\t\t} else if (switch_value) {\n\t\t\t\tswitch_instance.$set(switch_instance_changes);\n\t\t\t}\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\tif (switch_instance) transition_in(switch_instance.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\tif (switch_instance) transition_out(switch_instance.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\t/*switch_instance_binding*/ ctx[23](null);\n\t\t\tif (detaching) detach(switch_instance_anchor);\n\t\t\tif (switch_instance) destroy_component(switch_instance, detaching);\n\t\t}\n\t};\n}\n\nfunction create_fragment$N(ctx) {\n\tlet div;\n\tlet div_class_value;\n\tlet current;\n\tlet if_block = /*isLocal*/ ctx[5] && create_if_block$f(ctx);\n\n\treturn {\n\t\tc() {\n\t\t\tdiv = element(\"div\");\n\t\t\tif (if_block) if_block.c();\n\t\t\tattr(div, \"data-util\", /*panelName*/ ctx[2]);\n\t\t\tattr(div, \"class\", div_class_value = arrayJoin(['PinturaUtilPanel', /*klass*/ ctx[1]]));\n\t\t\tattr(div, \"style\", /*style*/ ctx[6]);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, div, anchor);\n\t\t\tif (if_block) if_block.m(div, null);\n\t\t\t/*div_binding*/ ctx[24](div);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tif (/*isLocal*/ ctx[5]) {\n\t\t\t\tif (if_block) {\n\t\t\t\t\tif_block.p(ctx, dirty);\n\n\t\t\t\t\tif (dirty[0] & /*isLocal*/ 32) {\n\t\t\t\t\t\ttransition_in(if_block, 1);\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tif_block = create_if_block$f(ctx);\n\t\t\t\t\tif_block.c();\n\t\t\t\t\ttransition_in(if_block, 1);\n\t\t\t\t\tif_block.m(div, null);\n\t\t\t\t}\n\t\t\t} else if (if_block) {\n\t\t\t\tgroup_outros();\n\n\t\t\t\ttransition_out(if_block, 1, 1, () => {\n\t\t\t\t\tif_block = null;\n\t\t\t\t});\n\n\t\t\t\tcheck_outros();\n\t\t\t}\n\n\t\t\tif (!current || dirty[0] & /*panelName*/ 4) {\n\t\t\t\tattr(div, \"data-util\", /*panelName*/ ctx[2]);\n\t\t\t}\n\n\t\t\tif (!current || dirty[0] & /*klass*/ 2 && div_class_value !== (div_class_value = arrayJoin(['PinturaUtilPanel', /*klass*/ ctx[1]]))) {\n\t\t\t\tattr(div, \"class\", div_class_value);\n\t\t\t}\n\n\t\t\tif (!current || dirty[0] & /*style*/ 64) {\n\t\t\t\tattr(div, \"style\", /*style*/ ctx[6]);\n\t\t\t}\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(if_block);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(if_block);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(div);\n\t\t\tif (if_block) if_block.d();\n\t\t\t/*div_binding*/ ctx[24](null);\n\t\t}\n\t};\n}\n\nfunction instance$O($$self, $$props, $$invalidate) {\n\tlet style;\n\tlet componentProps;\n\tlet isLocal;\n\tlet $isActivePrivateStore;\n\tlet $opacityClamped;\n\tlet $isAnimated;\n\tconst dispatch = createEventDispatcher();\n\tlet { isActive = true } = $$props;\n\tlet { stores } = $$props;\n\tlet { content } = $$props;\n\tlet { component } = $$props;\n\tlet { locale } = $$props;\n\tlet { class: klass = undefined } = $$props;\n\n\t// context\n\tconst isAnimated = getContext('isAnimated');\n\n\tcomponent_subscribe($$self, isAnimated, value => $$invalidate(21, $isAnimated = value));\n\n\t// we remember the view rect in this variable\n\tlet rect;\n\n\tconst opacity = spring(0);\n\tconst opacityClamped = derived(opacity, $opacity => clamp($opacity, 0, 1));\n\tcomponent_subscribe($$self, opacityClamped, value => $$invalidate(20, $opacityClamped = value));\n\n\t// throw hide / show events\n\tlet isHidden = !isActive;\n\n\t// create active store so can be used in derived stores\n\tconst isActivePrivateStore = writable(isActive);\n\n\tcomponent_subscribe($$self, isActivePrivateStore, value => $$invalidate(25, $isActivePrivateStore = value));\n\n\tconst stateProps = {\n\t\t// derived store to make isActive private\n\t\tisActive: derived(isActivePrivateStore, async ($isActivePrivateStore, set) => {\n\t\t\t// set to false immidiately\n\t\t\tif (!$isActivePrivateStore) return set($isActivePrivateStore);\n\n\t\t\t// wait for next tick when setting to true, this helps deactivating\n\t\t\t// current panel before activing next one\n\t\t\tawait tick$1();\n\n\t\t\tset($isActivePrivateStore);\n\t\t}),\n\t\tisActiveFraction: derived(opacityClamped, $opacityClamped => $opacityClamped),\n\t\tisVisible: derived(opacityClamped, $opacityClamped => $opacityClamped > 0)\n\t};\n\n\t// build the component props\n\tconst ComponentView = content.view;\n\n\tconst componentExportedProps = getComponentExportedProps(ComponentView);\n\n\tconst componentComputedProps = Object.keys(content.props || {}).reduce(\n\t\t(computedProps, key) => {\n\t\t\tif (!componentExportedProps.includes(key)) return computedProps;\n\t\t\tcomputedProps[key] = content.props[key];\n\t\t\treturn computedProps;\n\t\t},\n\t\t{}\n\t);\n\n\tconst componentComputedStateProps = Object.keys(stateProps).reduce(\n\t\t(computedStateProps, key) => {\n\t\t\tif (!componentExportedProps.includes(key)) return computedStateProps;\n\t\t\tcomputedStateProps[key] = stateProps[key];\n\t\t\treturn computedStateProps;\n\t\t},\n\t\t{}\n\t);\n\n\t// class used on panel element\n\tlet panelName;\n\n\t// used when loading external plugin\n\tlet rootElement;\n\n\tconst handleMeasure = e => {\n\t\t// not fully hidden, so store rect for next render\n\t\t$$invalidate(17, rect = { ...e.detail });\n\n\t\tif (!hasBeenMounted || !isActive) return;\n\t\tdispatch('measure', { ...rect });\n\t};\n\n\t// we expose measurable in the context map\n\tsetContext('measurable', measurable);\n\n\t// we get all context so we can pass them to external plugins\n\tconst contextMap = getAllContexts();\n\n\t// we use the `hasBeenMounted` bool to block rect updates until the entire panel is ready\n\tlet hasBeenMounted = false;\n\n\tonMount(() => {\n\t\t$$invalidate(19, hasBeenMounted = true);\n\n\t\t// no special needs for local modules\n\t\tif (isLocal) return;\n\n\t\t$$invalidate(0, component = new ComponentView({\n\t\t\t\ttarget: rootElement,\n\t\t\t\t// pass custom props to external plugin\n\t\t\t\tprops: { ...componentProps },\n\t\t\t\t// pass context to external plugin\n\t\t\t\tcontext: contextMap\n\t\t\t}));\n\n\t\t$$invalidate(2, panelName = component.name);\n\t\tconst unsub = component.$on('measure', handleMeasure);\n\n\t\treturn () => {\n\t\t\tunsub();\n\t\t\tcomponent.$destroy();\n\t\t};\n\t});\n\n\tfunction switch_instance_name_binding(value) {\n\t\tpanelName = value;\n\t\t$$invalidate(2, panelName);\n\t}\n\n\tfunction switch_instance_binding($$value) {\n\t\tbinding_callbacks[$$value ? 'unshift' : 'push'](() => {\n\t\t\tcomponent = $$value;\n\t\t\t$$invalidate(0, component);\n\t\t});\n\t}\n\n\tfunction div_binding($$value) {\n\t\tbinding_callbacks[$$value ? 'unshift' : 'push'](() => {\n\t\t\trootElement = $$value;\n\t\t\t$$invalidate(3, rootElement);\n\t\t});\n\t}\n\n\t$$self.$$set = $$props => {\n\t\tif ('isActive' in $$props) $$invalidate(12, isActive = $$props.isActive);\n\t\tif ('stores' in $$props) $$invalidate(13, stores = $$props.stores);\n\t\tif ('content' in $$props) $$invalidate(14, content = $$props.content);\n\t\tif ('component' in $$props) $$invalidate(0, component = $$props.component);\n\t\tif ('locale' in $$props) $$invalidate(15, locale = $$props.locale);\n\t\tif ('class' in $$props) $$invalidate(1, klass = $$props.class);\n\t};\n\n\t$$self.$$.update = () => {\n\t\tif ($$self.$$.dirty[0] & /*rect, isActive, component*/ 135169) {\n\t\t\t// when the view rect changes and the panel is in active state or became active, dispatch measure event\n\t\t\tif (rect && isActive && component) dispatch('measure', rect);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*isActive, $isAnimated*/ 2101248) {\n\t\t\topacity.set(isActive ? 1 : 0, { hard: $isAnimated === false });\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*$opacityClamped, isHidden*/ 1310720) {\n\t\t\tif ($opacityClamped <= 0 && !isHidden) {\n\t\t\t\t$$invalidate(18, isHidden = true);\n\t\t\t} else if ($opacityClamped > 0 && isHidden) {\n\t\t\t\t$$invalidate(18, isHidden = false);\n\t\t\t}\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*hasBeenMounted, isHidden*/ 786432) {\n\t\t\thasBeenMounted && dispatch(isHidden ? 'hide' : 'show');\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*$opacityClamped*/ 1048576) {\n\t\t\tdispatch('fade', $opacityClamped);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*$opacityClamped*/ 1048576) {\n\t\t\t// only set opacity prop if is below 0\n\t\t\t$$invalidate(6, style = $opacityClamped < 1\n\t\t\t? `opacity: ${$opacityClamped}`\n\t\t\t: undefined);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*isActive*/ 4096) {\n\t\t\tset_store_value(isActivePrivateStore, $isActivePrivateStore = isActive, $isActivePrivateStore);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*stores, locale*/ 40960) {\n\t\t\t$$invalidate(4, componentProps = {\n\t\t\t\t...componentComputedProps,\n\t\t\t\t...componentComputedStateProps,\n\t\t\t\tstores,\n\t\t\t\tlocale\n\t\t\t});\n\t\t}\n\t};\n\n\t$$invalidate(5, isLocal = !componentExportedProps.includes('external'));\n\n\treturn [\n\t\tcomponent,\n\t\tklass,\n\t\tpanelName,\n\t\trootElement,\n\t\tcomponentProps,\n\t\tisLocal,\n\t\tstyle,\n\t\tisAnimated,\n\t\topacityClamped,\n\t\tisActivePrivateStore,\n\t\tComponentView,\n\t\thandleMeasure,\n\t\tisActive,\n\t\tstores,\n\t\tcontent,\n\t\tlocale,\n\t\topacity,\n\t\trect,\n\t\tisHidden,\n\t\thasBeenMounted,\n\t\t$opacityClamped,\n\t\t$isAnimated,\n\t\tswitch_instance_name_binding,\n\t\tswitch_instance_binding,\n\t\tdiv_binding\n\t];\n}\n\nclass UtilPanel extends SvelteComponent {\n\tconstructor(options) {\n\t\tsuper();\n\n\t\tinit(\n\t\t\tthis,\n\t\t\toptions,\n\t\t\tinstance$O,\n\t\t\tcreate_fragment$N,\n\t\t\tsafe_not_equal,\n\t\t\t{\n\t\t\t\tisActive: 12,\n\t\t\t\tstores: 13,\n\t\t\t\tcontent: 14,\n\t\t\t\tcomponent: 0,\n\t\t\t\tlocale: 15,\n\t\t\t\tclass: 1,\n\t\t\t\topacity: 16\n\t\t\t},\n\t\t\tnull,\n\t\t\t[-1, -1]\n\t\t);\n\t}\n\n\tget opacity() {\n\t\treturn this.$$.ctx[16];\n\t}\n}\n\n/* src/core/ui/components/Icon.svelte generated by Svelte v3.52.0 */\n\nfunction create_fragment$M(ctx) {\n\tlet svg;\n\tlet svg_viewBox_value;\n\tlet current;\n\tconst default_slot_template = /*#slots*/ ctx[5].default;\n\tconst default_slot = create_slot(default_slot_template, ctx, /*$$scope*/ ctx[4], null);\n\n\treturn {\n\t\tc() {\n\t\t\tsvg = svg_element(\"svg\");\n\t\t\tif (default_slot) default_slot.c();\n\t\t\tattr(svg, \"class\", /*klass*/ ctx[3]);\n\t\t\tattr(svg, \"style\", /*style*/ ctx[2]);\n\t\t\tattr(svg, \"width\", /*width*/ ctx[0]);\n\t\t\tattr(svg, \"height\", /*height*/ ctx[1]);\n\t\t\tattr(svg, \"viewBox\", svg_viewBox_value = \"0 0 \" + /*width*/ ctx[0] + \"\\n    \" + /*height*/ ctx[1]);\n\t\t\tattr(svg, \"xmlns\", \"http://www.w3.org/2000/svg\");\n\t\t\tattr(svg, \"aria-hidden\", \"true\");\n\t\t\tattr(svg, \"focusable\", \"false\");\n\t\t\tattr(svg, \"stroke-linecap\", \"round\");\n\t\t\tattr(svg, \"stroke-linejoin\", \"round\");\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, svg, anchor);\n\n\t\t\tif (default_slot) {\n\t\t\t\tdefault_slot.m(svg, null);\n\t\t\t}\n\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, [dirty]) {\n\t\t\tif (default_slot) {\n\t\t\t\tif (default_slot.p && (!current || dirty & /*$$scope*/ 16)) {\n\t\t\t\t\tupdate_slot_base(\n\t\t\t\t\t\tdefault_slot,\n\t\t\t\t\t\tdefault_slot_template,\n\t\t\t\t\t\tctx,\n\t\t\t\t\t\t/*$$scope*/ ctx[4],\n\t\t\t\t\t\t!current\n\t\t\t\t\t\t? get_all_dirty_from_scope(/*$$scope*/ ctx[4])\n\t\t\t\t\t\t: get_slot_changes(default_slot_template, /*$$scope*/ ctx[4], dirty, null),\n\t\t\t\t\t\tnull\n\t\t\t\t\t);\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tif (!current || dirty & /*klass*/ 8) {\n\t\t\t\tattr(svg, \"class\", /*klass*/ ctx[3]);\n\t\t\t}\n\n\t\t\tif (!current || dirty & /*style*/ 4) {\n\t\t\t\tattr(svg, \"style\", /*style*/ ctx[2]);\n\t\t\t}\n\n\t\t\tif (!current || dirty & /*width*/ 1) {\n\t\t\t\tattr(svg, \"width\", /*width*/ ctx[0]);\n\t\t\t}\n\n\t\t\tif (!current || dirty & /*height*/ 2) {\n\t\t\t\tattr(svg, \"height\", /*height*/ ctx[1]);\n\t\t\t}\n\n\t\t\tif (!current || dirty & /*width, height*/ 3 && svg_viewBox_value !== (svg_viewBox_value = \"0 0 \" + /*width*/ ctx[0] + \"\\n    \" + /*height*/ ctx[1])) {\n\t\t\t\tattr(svg, \"viewBox\", svg_viewBox_value);\n\t\t\t}\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(default_slot, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(default_slot, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(svg);\n\t\t\tif (default_slot) default_slot.d(detaching);\n\t\t}\n\t};\n}\n\nfunction instance$N($$self, $$props, $$invalidate) {\n\tlet { $$slots: slots = {}, $$scope } = $$props;\n\tlet { width = 24 } = $$props;\n\tlet { height = 24 } = $$props;\n\tlet { style = undefined } = $$props;\n\tlet { class: klass = undefined } = $$props;\n\n\t$$self.$$set = $$props => {\n\t\tif ('width' in $$props) $$invalidate(0, width = $$props.width);\n\t\tif ('height' in $$props) $$invalidate(1, height = $$props.height);\n\t\tif ('style' in $$props) $$invalidate(2, style = $$props.style);\n\t\tif ('class' in $$props) $$invalidate(3, klass = $$props.class);\n\t\tif ('$$scope' in $$props) $$invalidate(4, $$scope = $$props.$$scope);\n\t};\n\n\treturn [width, height, style, klass, $$scope, slots];\n}\n\nclass Icon extends SvelteComponent {\n\tconstructor(options) {\n\t\tsuper();\n\t\tinit(this, options, instance$N, create_fragment$M, safe_not_equal, { width: 0, height: 1, style: 2, class: 3 });\n\t}\n}\n\nvar isEventTarget = (e, element) => element === e.target || element.contains(e.target);\n\nvar toKeyboardShortcut = (keys) => keys.map((key) => (key === 'CMD' ? (isMac() ? '⌘' : 'Ctrl') : key)).join('+');\n\n/**\n * @param { string } label\n * @param { string } title\n * @param { string[] } shortcut\n * @returns { string }\n */\nvar toTitle = (label, title, shortcut) => (isString(title) ? title : label) + (shortcut ? ` (${toKeyboardShortcut(shortcut)})` : '');\n\n/* src/core/ui/components/Button.svelte generated by Svelte v3.52.0 */\n\nfunction create_if_block_1$d(ctx) {\n\tlet icon_1;\n\tlet current;\n\n\ticon_1 = new Icon({\n\t\t\tprops: {\n\t\t\t\tclass: \"PinturaButtonIcon\",\n\t\t\t\t$$slots: { default: [create_default_slot$i] },\n\t\t\t\t$$scope: { ctx }\n\t\t\t}\n\t\t});\n\n\treturn {\n\t\tc() {\n\t\t\tcreate_component(icon_1.$$.fragment);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tmount_component(icon_1, target, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tconst icon_1_changes = {};\n\n\t\t\tif (dirty & /*$$scope, icon*/ 536870920) {\n\t\t\t\ticon_1_changes.$$scope = { dirty, ctx };\n\t\t\t}\n\n\t\t\ticon_1.$set(icon_1_changes);\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(icon_1.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(icon_1.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tdestroy_component(icon_1, detaching);\n\t\t}\n\t};\n}\n\n// (84:16) <Icon class=\"PinturaButtonIcon\">\nfunction create_default_slot$i(ctx) {\n\tlet g;\n\n\treturn {\n\t\tc() {\n\t\t\tg = svg_element(\"g\");\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, g, anchor);\n\t\t\tg.innerHTML = /*icon*/ ctx[3];\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tif (dirty & /*icon*/ 8) g.innerHTML = /*icon*/ ctx[3];\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(g);\n\t\t}\n\t};\n}\n\n// (90:12) {#if label}\nfunction create_if_block$e(ctx) {\n\tlet span;\n\n\treturn {\n\t\tc() {\n\t\t\tspan = element(\"span\");\n\t\t\tattr(span, \"class\", /*elLabelClass*/ ctx[11]);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, span, anchor);\n\t\t\tspan.innerHTML = /*label*/ ctx[0];\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tif (dirty & /*label*/ 1) span.innerHTML = /*label*/ ctx[0];\n\t\t\tif (dirty & /*elLabelClass*/ 2048) {\n\t\t\t\tattr(span, \"class\", /*elLabelClass*/ ctx[11]);\n\t\t\t}\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(span);\n\t\t}\n\t};\n}\n\n// (81:10)          \nfunction fallback_block$2(ctx) {\n\tlet span;\n\tlet t;\n\tlet current;\n\tlet if_block0 = /*icon*/ ctx[3] && create_if_block_1$d(ctx);\n\tlet if_block1 = /*label*/ ctx[0] && create_if_block$e(ctx);\n\n\treturn {\n\t\tc() {\n\t\t\tspan = element(\"span\");\n\t\t\tif (if_block0) if_block0.c();\n\t\t\tt = space();\n\t\t\tif (if_block1) if_block1.c();\n\t\t\tattr(span, \"class\", /*elButtonInnerClass*/ ctx[13]);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, span, anchor);\n\t\t\tif (if_block0) if_block0.m(span, null);\n\t\t\tappend(span, t);\n\t\t\tif (if_block1) if_block1.m(span, null);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tif (/*icon*/ ctx[3]) {\n\t\t\t\tif (if_block0) {\n\t\t\t\t\tif_block0.p(ctx, dirty);\n\n\t\t\t\t\tif (dirty & /*icon*/ 8) {\n\t\t\t\t\t\ttransition_in(if_block0, 1);\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tif_block0 = create_if_block_1$d(ctx);\n\t\t\t\t\tif_block0.c();\n\t\t\t\t\ttransition_in(if_block0, 1);\n\t\t\t\t\tif_block0.m(span, t);\n\t\t\t\t}\n\t\t\t} else if (if_block0) {\n\t\t\t\tgroup_outros();\n\n\t\t\t\ttransition_out(if_block0, 1, 1, () => {\n\t\t\t\t\tif_block0 = null;\n\t\t\t\t});\n\n\t\t\t\tcheck_outros();\n\t\t\t}\n\n\t\t\tif (/*label*/ ctx[0]) {\n\t\t\t\tif (if_block1) {\n\t\t\t\t\tif_block1.p(ctx, dirty);\n\t\t\t\t} else {\n\t\t\t\t\tif_block1 = create_if_block$e(ctx);\n\t\t\t\t\tif_block1.c();\n\t\t\t\t\tif_block1.m(span, null);\n\t\t\t\t}\n\t\t\t} else if (if_block1) {\n\t\t\t\tif_block1.d(1);\n\t\t\t\tif_block1 = null;\n\t\t\t}\n\n\t\t\tif (!current || dirty & /*elButtonInnerClass*/ 8192) {\n\t\t\t\tattr(span, \"class\", /*elButtonInnerClass*/ ctx[13]);\n\t\t\t}\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(if_block0);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(if_block0);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(span);\n\t\t\tif (if_block0) if_block0.d();\n\t\t\tif (if_block1) if_block1.d();\n\t\t}\n\t};\n}\n\nfunction create_fragment$L(ctx) {\n\tlet button;\n\tlet button_title_value;\n\tlet current;\n\tlet mounted;\n\tlet dispose;\n\tconst default_slot_template = /*#slots*/ ctx[27].default;\n\tconst default_slot = create_slot(default_slot_template, ctx, /*$$scope*/ ctx[29], null);\n\tconst default_slot_or_fallback = default_slot || fallback_block$2(ctx);\n\n\treturn {\n\t\tc() {\n\t\t\tbutton = element(\"button\");\n\t\t\tif (default_slot_or_fallback) default_slot_or_fallback.c();\n\t\t\tattr(button, \"type\", /*type*/ ctx[6]);\n\t\t\tattr(button, \"style\", /*style*/ ctx[4]);\n\t\t\tbutton.disabled = /*disabled*/ ctx[5];\n\t\t\tattr(button, \"class\", /*elButtonClass*/ ctx[12]);\n\t\t\tattr(button, \"title\", button_title_value = toTitle(/*label*/ ctx[0], /*title*/ ctx[1], /*shortcut*/ ctx[2]));\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, button, anchor);\n\n\t\t\tif (default_slot_or_fallback) {\n\t\t\t\tdefault_slot_or_fallback.m(button, null);\n\t\t\t}\n\n\t\t\t/*button_binding*/ ctx[28](button);\n\t\t\tcurrent = true;\n\n\t\t\tif (!mounted) {\n\t\t\t\tdispose = [\n\t\t\t\t\tlisten(button, \"keydown\", function () {\n\t\t\t\t\t\tif (is_function(/*onkeydown*/ ctx[8])) /*onkeydown*/ ctx[8].apply(this, arguments);\n\t\t\t\t\t}),\n\t\t\t\t\tlisten(button, \"click\", function () {\n\t\t\t\t\t\tif (is_function(/*onclick*/ ctx[7])) /*onclick*/ ctx[7].apply(this, arguments);\n\t\t\t\t\t}),\n\t\t\t\t\tlisten(button, \"pointerdown\", function () {\n\t\t\t\t\t\tif (is_function(/*handleDown*/ ctx[14])) /*handleDown*/ ctx[14].apply(this, arguments);\n\t\t\t\t\t}),\n\t\t\t\t\taction_destroyer(/*action*/ ctx[9].call(null, button))\n\t\t\t\t];\n\n\t\t\t\tmounted = true;\n\t\t\t}\n\t\t},\n\t\tp(new_ctx, [dirty]) {\n\t\t\tctx = new_ctx;\n\n\t\t\tif (default_slot) {\n\t\t\t\tif (default_slot.p && (!current || dirty & /*$$scope*/ 536870912)) {\n\t\t\t\t\tupdate_slot_base(\n\t\t\t\t\t\tdefault_slot,\n\t\t\t\t\t\tdefault_slot_template,\n\t\t\t\t\t\tctx,\n\t\t\t\t\t\t/*$$scope*/ ctx[29],\n\t\t\t\t\t\t!current\n\t\t\t\t\t\t? get_all_dirty_from_scope(/*$$scope*/ ctx[29])\n\t\t\t\t\t\t: get_slot_changes(default_slot_template, /*$$scope*/ ctx[29], dirty, null),\n\t\t\t\t\t\tnull\n\t\t\t\t\t);\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\tif (default_slot_or_fallback && default_slot_or_fallback.p && (!current || dirty & /*elButtonInnerClass, elLabelClass, label, icon*/ 10249)) {\n\t\t\t\t\tdefault_slot_or_fallback.p(ctx, !current ? -1 : dirty);\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tif (!current || dirty & /*type*/ 64) {\n\t\t\t\tattr(button, \"type\", /*type*/ ctx[6]);\n\t\t\t}\n\n\t\t\tif (!current || dirty & /*style*/ 16) {\n\t\t\t\tattr(button, \"style\", /*style*/ ctx[4]);\n\t\t\t}\n\n\t\t\tif (!current || dirty & /*disabled*/ 32) {\n\t\t\t\tbutton.disabled = /*disabled*/ ctx[5];\n\t\t\t}\n\n\t\t\tif (!current || dirty & /*elButtonClass*/ 4096) {\n\t\t\t\tattr(button, \"class\", /*elButtonClass*/ ctx[12]);\n\t\t\t}\n\n\t\t\tif (!current || dirty & /*label, title, shortcut*/ 7 && button_title_value !== (button_title_value = toTitle(/*label*/ ctx[0], /*title*/ ctx[1], /*shortcut*/ ctx[2]))) {\n\t\t\t\tattr(button, \"title\", button_title_value);\n\t\t\t}\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(default_slot_or_fallback, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(default_slot_or_fallback, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(button);\n\t\t\tif (default_slot_or_fallback) default_slot_or_fallback.d(detaching);\n\t\t\t/*button_binding*/ ctx[28](null);\n\t\t\tmounted = false;\n\t\t\trun_all(dispose);\n\t\t}\n\t};\n}\n\nfunction instance$M($$self, $$props, $$invalidate) {\n\tlet handleDown;\n\tlet handleUp;\n\tlet elButtonInnerClass;\n\tlet elButtonClass;\n\tlet elLabelClass;\n\tlet { $$slots: slots = {}, $$scope } = $$props;\n\tlet { class: klass = undefined } = $$props;\n\tlet { label = undefined } = $$props;\n\tlet { title = undefined } = $$props;\n\tlet { shortcut = undefined } = $$props;\n\tlet { labelClass = undefined } = $$props;\n\tlet { innerClass = undefined } = $$props;\n\tlet { hideLabel = false } = $$props;\n\tlet { icon = undefined } = $$props;\n\tlet { style = undefined } = $$props;\n\tlet { disabled = undefined } = $$props;\n\tlet { type = 'button' } = $$props;\n\tlet { onclick = undefined } = $$props;\n\tlet { onkeydown = undefined } = $$props;\n\tlet { onhold = undefined } = $$props;\n\n\tlet { action = () => {\n\t\t\n\t} } = $$props;\n\n\tlet { holdThreshold = 500 } = $$props;\n\tlet { holdSpeedUpFactor = 0.5 } = $$props;\n\tlet { holdSpeedMin = 20 } = $$props;\n\tlet holdTimer;\n\n\tconst hold = holdStep => {\n\t\t$$invalidate(25, holdTimer = setTimeout(\n\t\t\t() => {\n\t\t\t\tonhold();\n\t\t\t\thold(Math.max(holdStep * holdSpeedUpFactor, holdSpeedMin));\n\t\t\t},\n\t\t\tholdStep\n\t\t));\n\t};\n\n\tlet root;\n\tconst isEventTarget$1 = e => isEventTarget(e, root);\n\tconst getElement = () => root;\n\n\tfunction button_binding($$value) {\n\t\tbinding_callbacks[$$value ? 'unshift' : 'push'](() => {\n\t\t\troot = $$value;\n\t\t\t$$invalidate(10, root);\n\t\t});\n\t}\n\n\t$$self.$$set = $$props => {\n\t\tif ('class' in $$props) $$invalidate(15, klass = $$props.class);\n\t\tif ('label' in $$props) $$invalidate(0, label = $$props.label);\n\t\tif ('title' in $$props) $$invalidate(1, title = $$props.title);\n\t\tif ('shortcut' in $$props) $$invalidate(2, shortcut = $$props.shortcut);\n\t\tif ('labelClass' in $$props) $$invalidate(16, labelClass = $$props.labelClass);\n\t\tif ('innerClass' in $$props) $$invalidate(17, innerClass = $$props.innerClass);\n\t\tif ('hideLabel' in $$props) $$invalidate(18, hideLabel = $$props.hideLabel);\n\t\tif ('icon' in $$props) $$invalidate(3, icon = $$props.icon);\n\t\tif ('style' in $$props) $$invalidate(4, style = $$props.style);\n\t\tif ('disabled' in $$props) $$invalidate(5, disabled = $$props.disabled);\n\t\tif ('type' in $$props) $$invalidate(6, type = $$props.type);\n\t\tif ('onclick' in $$props) $$invalidate(7, onclick = $$props.onclick);\n\t\tif ('onkeydown' in $$props) $$invalidate(8, onkeydown = $$props.onkeydown);\n\t\tif ('onhold' in $$props) $$invalidate(19, onhold = $$props.onhold);\n\t\tif ('action' in $$props) $$invalidate(9, action = $$props.action);\n\t\tif ('holdThreshold' in $$props) $$invalidate(20, holdThreshold = $$props.holdThreshold);\n\t\tif ('holdSpeedUpFactor' in $$props) $$invalidate(21, holdSpeedUpFactor = $$props.holdSpeedUpFactor);\n\t\tif ('holdSpeedMin' in $$props) $$invalidate(22, holdSpeedMin = $$props.holdSpeedMin);\n\t\tif ('$$scope' in $$props) $$invalidate(29, $$scope = $$props.$$scope);\n\t};\n\n\t$$self.$$.update = () => {\n\t\tif ($$self.$$.dirty & /*onhold, holdTimer, handleUp*/ 101187584) {\n\t\t\t$$invalidate(26, handleUp = onhold\n\t\t\t? () => {\n\t\t\t\t\tif (!holdTimer) return;\n\n\t\t\t\t\t// clean up\n\t\t\t\t\tclearTimeout(holdTimer);\n\n\t\t\t\t\t$$invalidate(25, holdTimer = undefined);\n\n\t\t\t\t\t// no longer holder\n\t\t\t\t\tdocument.documentElement.removeEventListener('pointerup', handleUp);\n\t\t\t\t}\n\t\t\t: noop);\n\t\t}\n\n\t\tif ($$self.$$.dirty & /*onhold, handleUp, holdThreshold*/ 68681728) {\n\t\t\t$$invalidate(14, handleDown = onhold\n\t\t\t? () => {\n\t\t\t\t\tdocument.documentElement.addEventListener('pointerup', handleUp);\n\t\t\t\t\thold(holdThreshold);\n\t\t\t\t}\n\t\t\t: noop);\n\t\t}\n\n\t\tif ($$self.$$.dirty & /*innerClass*/ 131072) {\n\t\t\t$$invalidate(13, elButtonInnerClass = arrayJoin(['PinturaButtonInner', innerClass]));\n\t\t}\n\n\t\tif ($$self.$$.dirty & /*hideLabel, klass*/ 294912) {\n\t\t\t$$invalidate(12, elButtonClass = arrayJoin(['PinturaButton', hideLabel && 'PinturaButtonIconOnly', klass]));\n\t\t}\n\n\t\tif ($$self.$$.dirty & /*hideLabel, labelClass*/ 327680) {\n\t\t\t$$invalidate(11, elLabelClass = arrayJoin([hideLabel ? 'implicit' : 'PinturaButtonLabel', labelClass]));\n\t\t}\n\t};\n\n\treturn [\n\t\tlabel,\n\t\ttitle,\n\t\tshortcut,\n\t\ticon,\n\t\tstyle,\n\t\tdisabled,\n\t\ttype,\n\t\tonclick,\n\t\tonkeydown,\n\t\taction,\n\t\troot,\n\t\telLabelClass,\n\t\telButtonClass,\n\t\telButtonInnerClass,\n\t\thandleDown,\n\t\tklass,\n\t\tlabelClass,\n\t\tinnerClass,\n\t\thideLabel,\n\t\tonhold,\n\t\tholdThreshold,\n\t\tholdSpeedUpFactor,\n\t\tholdSpeedMin,\n\t\tisEventTarget$1,\n\t\tgetElement,\n\t\tholdTimer,\n\t\thandleUp,\n\t\tslots,\n\t\tbutton_binding,\n\t\t$$scope\n\t];\n}\n\nclass Button extends SvelteComponent {\n\tconstructor(options) {\n\t\tsuper();\n\n\t\tinit(this, options, instance$M, create_fragment$L, safe_not_equal, {\n\t\t\tclass: 15,\n\t\t\tlabel: 0,\n\t\t\ttitle: 1,\n\t\t\tshortcut: 2,\n\t\t\tlabelClass: 16,\n\t\t\tinnerClass: 17,\n\t\t\thideLabel: 18,\n\t\t\ticon: 3,\n\t\t\tstyle: 4,\n\t\t\tdisabled: 5,\n\t\t\ttype: 6,\n\t\t\tonclick: 7,\n\t\t\tonkeydown: 8,\n\t\t\tonhold: 19,\n\t\t\taction: 9,\n\t\t\tholdThreshold: 20,\n\t\t\tholdSpeedUpFactor: 21,\n\t\t\tholdSpeedMin: 22,\n\t\t\tisEventTarget: 23,\n\t\t\tgetElement: 24\n\t\t});\n\t}\n\n\tget isEventTarget() {\n\t\treturn this.$$.ctx[23];\n\t}\n\n\tget getElement() {\n\t\treturn this.$$.ctx[24];\n\t}\n}\n\nvar arrayRemove = (array, predicate) => {\n    const index = array.findIndex(predicate);\n    if (index >= 0)\n        return array.splice(index, 1);\n    return undefined;\n};\n\n// svelte\n// constants\nconst INERTIA_THRESHOLD = 0.25; // when force of velocity exceeds this value we drift\nconst INERTIA_DISTANCE_MULTIPLIER = 50;\nconst INERTIA_DURATION_MULTIPLIER = 80;\nconst TAP_DURATION_MAX = 300;\nconst TAP_DISTANCE_MAX = 64;\nconst DOUBLE_TAP_DURATION_MAX = 700;\nconst DOUBLE_TAP_DISTANCE_MAX = 128;\nconst isContextMenuAction = (e) => isNumber(e.button) && e.button !== 0;\nvar interactable = (node, options = {}) => {\n    // set defaults\n    const { inertia = false, inertiaDurationMultiplier = INERTIA_DURATION_MULTIPLIER, shouldStartInteraction = () => true, pinch = false, multiTouch = undefined, getEventPosition = (e) => vectorCreate(e.clientX, e.clientY), } = options;\n    //\n    // helpers\n    //\n    function dispatch(type, detail) {\n        node.dispatchEvent(new CustomEvent(type, { detail }));\n    }\n    function resetInertia() {\n        if (inertiaTweenUnsubscribe)\n            inertiaTweenUnsubscribe();\n        inertiaTweenUnsubscribe = undefined;\n    }\n    //#region pointer registry\n    const pointers = [];\n    const getPointerTimestamp = (e) => {\n        return e.timeStamp === 0 ? Date.now() : e.timeStamp;\n    };\n    const addPointer = (e) => {\n        const timeStamp = getPointerTimestamp(e);\n        const pointer = {\n            timeStamp,\n            timeStampInitial: timeStamp,\n            position: getEventPosition(e),\n            origin: getEventPosition(e),\n            velocity: vectorCreateEmpty(),\n            velocityHistory: [],\n            velocityAverage: vectorCreateEmpty(),\n            translation: vectorCreateEmpty(),\n            interactionState: undefined,\n            event: e,\n        };\n        pointers.push(pointer);\n        pointer.interactionState = getInteractionState(pointers);\n    };\n    const removePointer = (e) => {\n        const pointer = arrayRemove(pointers, (pointer) => pointer.event.pointerId === e.pointerId);\n        if (pointer)\n            return pointer[0];\n    };\n    const removePointers = () => {\n        pointers.length = 0;\n    };\n    const getPointerIndex = (e) => pointers.findIndex((pointer) => pointer.event.pointerId === e.pointerId);\n    const getPointersCenter = () => {\n        const position = vectorClone(pointers[0].position);\n        if (pointers[1]) {\n            const dx = (pointers[1].position.x - position.x) * 0.5;\n            const dy = (pointers[1].position.y - position.y) * 0.5;\n            position.x += dx;\n            position.y += dy;\n        }\n        return position;\n    };\n    const flattenPointerOrigin = (pointer) => {\n        pointer.origin.x = pointer.position.x;\n        pointer.origin.y = pointer.position.y;\n        pointer.translation.x = 0;\n        pointer.translation.y = 0;\n    };\n    const updatePointer = (e) => {\n        const pointer = getPointer(e);\n        if (!pointer)\n            return;\n        const timeStamp = getPointerTimestamp(e);\n        // position\n        const eventPosition = getEventPosition(e);\n        // duration between previous interaction and new interaction, an interaction duration cannot be faster than 1 millisecond\n        const interactionDuration = Math.max(1, timeStamp - pointer.timeStamp);\n        // calculate velocity\n        pointer.velocity.x = (eventPosition.x - pointer.position.x) / interactionDuration;\n        pointer.velocity.y = (eventPosition.y - pointer.position.y) / interactionDuration;\n        pointer.velocityHistory.push(vectorClone(pointer.velocity));\n        pointer.velocityHistory = pointer.velocityHistory.slice(-3);\n        pointer.velocityAverage = pointer.velocityHistory.reduce((v, c, index, arr) => {\n            v.x += c.x / arr.length;\n            v.y += c.y / arr.length;\n            return v;\n        }, vectorCreateEmpty());\n        // update the translation\n        pointer.translation.x = eventPosition.x - pointer.origin.x;\n        pointer.translation.y = eventPosition.y - pointer.origin.y;\n        // set new state\n        pointer.timeStamp = timeStamp;\n        pointer.position.x = eventPosition.x;\n        pointer.position.y = eventPosition.y;\n        pointer.event = e;\n    };\n    const getPointer = (e) => {\n        const i = getPointerIndex(e);\n        if (i < 0)\n            return;\n        return pointers[i];\n    };\n    const isSingleTouching = () => pointers.length === 1;\n    const isMultiTouching = () => pointers.length === 2;\n    const getDistance = (pointers, position) => {\n        const distanceTotal = pointers.reduce((prev, curr) => {\n            prev += vectorDistance(position, curr.position);\n            return prev;\n        }, 0);\n        return distanceTotal / pointers.length;\n    };\n    const getInteractionState = (pointers) => {\n        const center = vectorCenter(pointers.map((pointer) => pointer.position));\n        const distance = getDistance(pointers, center);\n        return {\n            center,\n            distance,\n            velocity: vectorCenter(pointers.map((pointer) => pointer.velocity)),\n            translation: vectorCenter(pointers.map((pointer) => pointer.translation)),\n        };\n    };\n    //#endregion\n    let inertiaTween;\n    let inertiaOrigin;\n    let inertiaTranslation;\n    let inertiaTweenUnsubscribe;\n    let pinchOffsetDistance;\n    let currentTranslation;\n    let currentScale;\n    let isGesture;\n    let lastTapTimeStamp = 0;\n    let lastTapPosition = undefined;\n    // start handling interactions\n    node.addEventListener('pointerdown', handlePointerdown);\n    function handlePointerdown(e) {\n        // ignore more than two pointers for now\n        if (isMultiTouching())\n            return;\n        // not interested in context menu\n        if (isContextMenuAction(e))\n            return;\n        // target should equal node, if it doesn't user might have clicked one of the nodes children\n        if (!shouldStartInteraction(e, node))\n            return;\n        // stop any previous inertia tweens\n        resetInertia();\n        // register this pointer\n        addPointer(e);\n        // if is first pointer we need to init the drag gesture\n        if (isSingleTouching()) {\n            // handle pointer events\n            document.documentElement.addEventListener('pointermove', handlePointermove);\n            document.documentElement.addEventListener('pointerup', handlePointerup);\n            document.documentElement.addEventListener('pointercancel', handlePointerup);\n            document.addEventListener('visibilitychange', handleVisibilityChange);\n            // clear vars\n            isGesture = false;\n            currentScale = 1;\n            currentTranslation = vectorCreateEmpty();\n            pinchOffsetDistance = undefined;\n            dispatch('interactionstart', {\n                origin: vectorClone(getPointer(e).origin),\n            });\n        }\n        // is pinch\n        else if (pinch) {\n            isGesture = true;\n            pinchOffsetDistance = vectorDistance(pointers[0].position, pointers[1].position);\n            currentTranslation.x += pointers[0].translation.x;\n            currentTranslation.y += pointers[0].translation.y;\n            flattenPointerOrigin(pointers[0]);\n        }\n        // is multitouch and we're not allowed to multitouch\n        else if (multiTouch === false) {\n            // remove all pointers\n            removePointers();\n            // clean up\n            unlisten();\n            // cancelled\n            return dispatch('interactioncancel');\n        }\n    }\n    //\n    // pointer move can only be a primary event (other pointers are not handled)\n    //\n    let moveLast = Date.now();\n    function handlePointermove(e) {\n        // prevent selection of text (Safari)\n        e.preventDefault();\n        // update pointer state\n        updatePointer(e);\n        const translation = vectorClone(pointers[0].translation);\n        let scalar = currentScale;\n        if (pinch && isMultiTouching()) {\n            // current pinch distance\n            const pinchCurrentDistance = vectorDistance(pointers[0].position, pointers[1].position);\n            // to find out scalar we calculate the difference between the pinch offset and the new pinch\n            const pinchScalar = pinchCurrentDistance / pinchOffsetDistance;\n            // add to existing scalar\n            scalar *= pinchScalar;\n            // current offset\n            vectorAdd(translation, pointers[1].translation);\n        }\n        vectorAdd(translation, currentTranslation);\n        // skip update event if last interaction was less than 16 ms ago\n        const now = Date.now();\n        const dist = now - moveLast;\n        if (dist < 16)\n            return;\n        moveLast = now;\n        dispatch('interactionupdate', {\n            position: getPointersCenter(),\n            translation: translation,\n            scalar: pinch ? scalar : undefined,\n            isMultiTouching: isMultiTouching(),\n        });\n    }\n    //\n    // pointer up can only be a primary event (other pointers are not handled)\n    //\n    function handlePointerup(e) {\n        // test if is my pointer that was released, as we're listining on document it could be other pointers\n        if (!getPointer(e))\n            return;\n        // calculate center between active pointers\n        const centerBetweenPointers = getPointersCenter();\n        // remove pointer from active pointers array\n        const removedPointer = removePointer(e);\n        // store current size\n        if (pinch && isSingleTouching()) {\n            // calculate current scale\n            const pinchCurrentDistance = vectorDistance(pointers[0].position, removedPointer.position);\n            currentScale *= pinchCurrentDistance / pinchOffsetDistance;\n            currentTranslation.x += pointers[0].translation.x + removedPointer.translation.x;\n            currentTranslation.y += pointers[0].translation.y + removedPointer.translation.y;\n            flattenPointerOrigin(pointers[0]);\n        }\n        // check if this was a tap\n        let isTap = false;\n        let isDoubleTap = false;\n        if (!isGesture && removedPointer) {\n            const interactionEnd = performance.now();\n            const interactionDuration = interactionEnd - removedPointer.timeStampInitial;\n            const interactionDistanceSquared = vectorDistanceSquared(removedPointer.translation);\n            isTap =\n                interactionDistanceSquared < TAP_DISTANCE_MAX &&\n                    interactionDuration < TAP_DURATION_MAX;\n            isDoubleTap = !!(lastTapPosition &&\n                isTap &&\n                interactionEnd - lastTapTimeStamp < DOUBLE_TAP_DURATION_MAX &&\n                vectorDistanceSquared(lastTapPosition, removedPointer.position) <\n                    DOUBLE_TAP_DISTANCE_MAX);\n            if (isTap) {\n                lastTapPosition = vectorClone(removedPointer.position);\n                lastTapTimeStamp = interactionEnd;\n            }\n        }\n        // we wait till last multi-touch interaction is finished, all pointers need to be de-registered before proceeding\n        if (pointers.length > 0)\n            return;\n        // stop listening\n        unlisten();\n        const translation = vectorClone(removedPointer.translation);\n        const velocity = vectorClone(removedPointer.velocityAverage);\n        // allows cancelling inertia from release handler\n        let inertiaPrevented = false;\n        // user has released interaction\n        dispatch('interactionrelease', {\n            isTap,\n            isDoubleTap,\n            position: centerBetweenPointers,\n            translation,\n            scalar: currentScale,\n            preventInertia: () => (inertiaPrevented = true),\n        });\n        // stop intantly if not a lot of force applied\n        const force = vectorDistance(velocity);\n        if (inertiaPrevented || !inertia || force < INERTIA_THRESHOLD) {\n            return handleEnd(translation, { isTap, isDoubleTap });\n        }\n        // drift\n        inertiaOrigin = vectorClone(centerBetweenPointers);\n        inertiaTranslation = vectorClone(translation);\n        inertiaTween = tweened(vectorClone(translation), {\n            easing: circOut,\n            duration: force * inertiaDurationMultiplier,\n        });\n        inertiaTween\n            .set({\n            x: translation.x + velocity.x * INERTIA_DISTANCE_MULTIPLIER,\n            y: translation.y + velocity.y * INERTIA_DISTANCE_MULTIPLIER,\n        })\n            .then(() => {\n            // if has unsubscribed (tween was reset)\n            if (!inertiaTweenUnsubscribe)\n                return;\n            // go!\n            handleEnd(get_store_value(inertiaTween), { isTap, isDoubleTap });\n        });\n        inertiaTweenUnsubscribe = inertiaTween.subscribe(handleInertiaUpdate);\n    }\n    function handleInertiaUpdate(translation) {\n        // if is same as previous position, ignore\n        if (!translation)\n            return;\n        // this will handle drift interactions\n        dispatch('interactionupdate', {\n            position: vectorCreate(inertiaOrigin.x + (translation.x - inertiaTranslation.x), inertiaOrigin.y + (translation.y - inertiaTranslation.y)),\n            translation: translation,\n            scalar: pinch ? currentScale : undefined,\n        });\n    }\n    function handleVisibilityChange(e) {\n        if (document.visibilityState === 'visible' || !pointers.length)\n            return;\n        const state = getInteractionState(pointers);\n        // done\n        resetInertia();\n        // done\n        dispatch('interactionend', {\n            ...state,\n        });\n        // reset pointers so we can try again\n        pointers.length = 0;\n        // document hidden, let's clean up\n        unlisten();\n    }\n    function handleEnd(translation, tapState) {\n        resetInertia();\n        dispatch('interactionend', {\n            ...tapState,\n            translation,\n            scalar: pinch ? currentScale : undefined,\n        });\n    }\n    function unlisten() {\n        document.documentElement.removeEventListener('pointermove', handlePointermove);\n        document.documentElement.removeEventListener('pointerup', handlePointerup);\n        document.documentElement.removeEventListener('pointercancel', handlePointerup);\n        document.addEventListener('visibilitychange', handleVisibilityChange);\n    }\n    return {\n        destroy() {\n            resetInertia();\n            node.removeEventListener('pointerdown', handlePointerdown);\n        },\n    };\n};\n\nvar nudgeable = (element, options = {}) => {\n    // if added as action on non focusable element you should add tabindex=0 attribute\n    const { direction = undefined, shiftMultiplier = 10, bubbles = false, preventDefault = false, stopKeydownPropagation = true, } = options;\n    const isHorizontalDirection = direction === 'horizontal';\n    const isVerticalDirection = direction === 'vertical';\n    const handleKeydown = (e) => {\n        const { key } = e;\n        const isShift = e.shiftKey;\n        const isVerticalAction = /up|down/i.test(key);\n        const isHorizontalAction = /left|right/i.test(key);\n        // no directional key\n        if (!isHorizontalAction && !isVerticalAction)\n            return;\n        // is horizontal but up or down pressed\n        if (isHorizontalDirection && isVerticalAction)\n            return;\n        // is vertical but left or right pressed\n        if (isVerticalDirection && isHorizontalAction)\n            return;\n        // if holding shift move by a factor 10\n        const multiplier = isShift ? shiftMultiplier : 1;\n        if (stopKeydownPropagation)\n            e.stopPropagation();\n        if (preventDefault)\n            e.preventDefault();\n        element.dispatchEvent(new CustomEvent('nudge', {\n            bubbles,\n            detail: vectorCreate((/left/i.test(key) ? -1 : /right/i.test(key) ? 1 : 0) * multiplier, (/up/i.test(key) ? -1 : /down/i.test(key) ? 1 : 0) * multiplier),\n        }));\n    };\n    element.addEventListener('keydown', handleKeydown);\n    return {\n        destroy() {\n            element.removeEventListener('keydown', handleKeydown);\n        },\n    };\n};\n\nfunction elastify(translation, dist) {\n    return dist\n        ? dist * Math.sign(translation) * Math.log10(1 + Math.abs(translation) / dist)\n        : translation;\n}\nconst elastifyRects = (a, b, dist) => {\n    if (!b || !dist)\n        return { ...a };\n    const left = a.x + elastify(b.x - a.x, dist);\n    const right = a.x + a.width + elastify(b.x + b.width - (a.x + a.width), dist);\n    const top = a.y + elastify(b.y - a.y, dist);\n    const bottom = a.y + a.height + elastify(b.y + b.height - (a.y + a.height), dist);\n    return {\n        x: left,\n        y: top,\n        width: right - left,\n        height: bottom - top,\n    };\n};\nconst elastifyVectors = (a, b, dist) => {\n    if (!b || !dist)\n        return { ...a };\n    return vectorCreate(a.x + elastify(b.x - a.x, dist), a.y + elastify(b.y - a.y, dist));\n};\n\nvar unitToPixels = (value, element) => {\n    if (!value)\n        return;\n    if (/em/.test(value))\n        return parseInt(value, 10) * 16;\n    if (/px/.test(value))\n        return parseInt(value, 10);\n};\n\nvar getWheelDelta = (e) => {\n    let d = e.detail || 0;\n    const { deltaX, deltaY, wheelDelta, wheelDeltaX, wheelDeltaY } = e;\n    // \"detect\" x axis interaction for MacOS trackpad\n    if (isNumber(wheelDeltaX) && Math.abs(wheelDeltaX) > Math.abs(wheelDeltaY)) {\n        // blink & webkit\n        d = wheelDeltaX / -120;\n    }\n    else if (isNumber(deltaX) && Math.abs(deltaX) > Math.abs(deltaY)) {\n        // quantum\n        d = deltaX / 20;\n    }\n    else if (wheelDelta || wheelDeltaY) {\n        // blink & webkit\n        d = (wheelDelta || wheelDeltaY) / -120;\n    }\n    if (!d) {\n        // quantum\n        d = deltaY / 20;\n    }\n    // speed up wheel/touch interactions on firefox and safari as chrome is more snappy\n    if (isFirefox() || isSafari()) {\n        d *= 2;\n    }\n    return d;\n};\n\n/* src/core/ui/components/Scrollable.svelte generated by Svelte v3.52.0 */\n\nfunction create_fragment$K(ctx) {\n\tlet div1;\n\tlet div0;\n\tlet div1_class_value;\n\tlet nudgeable_action;\n\tlet current;\n\tlet mounted;\n\tlet dispose;\n\tconst default_slot_template = /*#slots*/ ctx[36].default;\n\tconst default_slot = create_slot(default_slot_template, ctx, /*$$scope*/ ctx[35], null);\n\n\treturn {\n\t\tc() {\n\t\t\tdiv1 = element(\"div\");\n\t\t\tdiv0 = element(\"div\");\n\t\t\tif (default_slot) default_slot.c();\n\t\t\tattr(div0, \"style\", /*childStyle*/ ctx[5]);\n\t\t\tattr(div1, \"class\", div1_class_value = arrayJoin(['PinturaScrollable', /*klass*/ ctx[0]]));\n\t\t\tattr(div1, \"style\", /*overflowStyle*/ ctx[4]);\n\t\t\tattr(div1, \"data-direction\", /*scrollDirection*/ ctx[1]);\n\t\t\tattr(div1, \"data-state\", /*containerState*/ ctx[6]);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, div1, anchor);\n\t\t\tappend(div1, div0);\n\n\t\t\tif (default_slot) {\n\t\t\t\tdefault_slot.m(div0, null);\n\t\t\t}\n\n\t\t\t/*div1_binding*/ ctx[38](div1);\n\t\t\tcurrent = true;\n\n\t\t\tif (!mounted) {\n\t\t\t\tdispose = [\n\t\t\t\t\tlisten(div0, \"interactionstart\", /*handleDragStart*/ ctx[8]),\n\t\t\t\t\tlisten(div0, \"interactionupdate\", /*handleDragMove*/ ctx[10]),\n\t\t\t\t\tlisten(div0, \"interactionend\", /*handleDragEnd*/ ctx[11]),\n\t\t\t\t\tlisten(div0, \"interactionrelease\", /*handleDragRelease*/ ctx[9]),\n\t\t\t\t\taction_destroyer(interactable.call(null, div0, { inertia: true })),\n\t\t\t\t\tlisten(div0, \"measure\", /*measure_handler*/ ctx[37]),\n\t\t\t\t\taction_destroyer(measurable.call(null, div0)),\n\t\t\t\t\tlisten(div1, \"wheel\", /*handleWheel*/ ctx[13], { passive: false }),\n\t\t\t\t\tlisten(div1, \"scroll\", /*handleScroll*/ ctx[15]),\n\t\t\t\t\tlisten(div1, \"focusin\", /*handleFocus*/ ctx[14]),\n\t\t\t\t\tlisten(div1, \"nudge\", /*handleNudge*/ ctx[16]),\n\t\t\t\t\tlisten(div1, \"measure\", /*handleResizeScrollContainer*/ ctx[12]),\n\t\t\t\t\taction_destroyer(measurable.call(null, div1, { observePosition: true })),\n\t\t\t\t\taction_destroyer(nudgeable_action = nudgeable.call(null, div1, {\n\t\t\t\t\t\tdirection: /*scrollDirection*/ ctx[1] === 'x'\n\t\t\t\t\t\t? 'horizontal'\n\t\t\t\t\t\t: 'vertical',\n\t\t\t\t\t\tstopKeydownPropagation: false\n\t\t\t\t\t}))\n\t\t\t\t]; // preventDefault is not enabled as keyboard interaction is needed to select nodes\n\n\t\t\t\tmounted = true;\n\t\t\t}\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tif (default_slot) {\n\t\t\t\tif (default_slot.p && (!current || dirty[1] & /*$$scope*/ 16)) {\n\t\t\t\t\tupdate_slot_base(\n\t\t\t\t\t\tdefault_slot,\n\t\t\t\t\t\tdefault_slot_template,\n\t\t\t\t\t\tctx,\n\t\t\t\t\t\t/*$$scope*/ ctx[35],\n\t\t\t\t\t\t!current\n\t\t\t\t\t\t? get_all_dirty_from_scope(/*$$scope*/ ctx[35])\n\t\t\t\t\t\t: get_slot_changes(default_slot_template, /*$$scope*/ ctx[35], dirty, null),\n\t\t\t\t\t\tnull\n\t\t\t\t\t);\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tif (!current || dirty[0] & /*childStyle*/ 32) {\n\t\t\t\tattr(div0, \"style\", /*childStyle*/ ctx[5]);\n\t\t\t}\n\n\t\t\tif (!current || dirty[0] & /*klass*/ 1 && div1_class_value !== (div1_class_value = arrayJoin(['PinturaScrollable', /*klass*/ ctx[0]]))) {\n\t\t\t\tattr(div1, \"class\", div1_class_value);\n\t\t\t}\n\n\t\t\tif (!current || dirty[0] & /*overflowStyle*/ 16) {\n\t\t\t\tattr(div1, \"style\", /*overflowStyle*/ ctx[4]);\n\t\t\t}\n\n\t\t\tif (!current || dirty[0] & /*scrollDirection*/ 2) {\n\t\t\t\tattr(div1, \"data-direction\", /*scrollDirection*/ ctx[1]);\n\t\t\t}\n\n\t\t\tif (!current || dirty[0] & /*containerState*/ 64) {\n\t\t\t\tattr(div1, \"data-state\", /*containerState*/ ctx[6]);\n\t\t\t}\n\n\t\t\tif (nudgeable_action && is_function(nudgeable_action.update) && dirty[0] & /*scrollDirection*/ 2) nudgeable_action.update.call(null, {\n\t\t\t\tdirection: /*scrollDirection*/ ctx[1] === 'x'\n\t\t\t\t? 'horizontal'\n\t\t\t\t: 'vertical',\n\t\t\t\tstopKeydownPropagation: false\n\t\t\t}); // preventDefault is not enabled as keyboard interaction is needed to select nodes\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(default_slot, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(default_slot, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(div1);\n\t\t\tif (default_slot) default_slot.d(detaching);\n\t\t\t/*div1_binding*/ ctx[38](null);\n\t\t\tmounted = false;\n\t\t\trun_all(dispose);\n\t\t}\n\t};\n}\n\nfunction instance$L($$self, $$props, $$invalidate) {\n\tlet size;\n\tlet axis;\n\tlet containerStyle;\n\tlet containerFeatherSize;\n\tlet overflows;\n\tlet containerState;\n\tlet childStyle;\n\tlet $scrollOffset;\n\tlet { $$slots: slots = {}, $$scope } = $$props;\n\tconst dispatch = createEventDispatcher();\n\n\t// const ArrowKeyCodes = Object.values(ArrowKeys);\n\t// const keysPressedStore = getContext('keysPressed');\n\tlet scrollState = 'idle';\n\n\tlet scrollOrigin;\n\tlet scrollRect;\n\tlet scrollContainerRect;\n\tlet scrollReleased;\n\tlet scrollOffset = spring(0);\n\tcomponent_subscribe($$self, scrollOffset, value => $$invalidate(34, $scrollOffset = value));\n\tlet { class: klass = undefined } = $$props;\n\tlet { scrollBlockInteractionDist = 5 } = $$props;\n\tlet { scrollStep = 10 } = $$props;\n\tlet { scrollFocusMargin = 64 } = $$props;\n\tlet { scrollDirection = 'x' } = $$props;\n\tlet { scrollAutoCancel = false } = $$props;\n\tlet { elasticity = 0 } = $$props;\n\tlet { onscroll = noop$1 } = $$props;\n\tlet { maskFeatherSize = undefined } = $$props;\n\tlet { maskFeatherStartOpacity = undefined } = $$props;\n\tlet { maskFeatherEndOpacity = undefined } = $$props;\n\tlet { scroll = undefined } = $$props;\n\n\t// logic\n\tlet container;\n\n\tlet overflowStyle = '';\n\n\t// is scroll in reset state\n\tlet scrollAtRest = true;\n\n\t// triggers onscroll callback\n\tconst scrollOffsetUnsub = scrollOffset.subscribe(value => {\n\t\tconst pos = vectorCreateEmpty();\n\t\tpos[scrollDirection] = value;\n\t\tonscroll(pos);\n\t});\n\n\tconst limitOffsetToContainer = offset => Math.max(Math.min(0, offset), scrollContainerRect[size] - scrollRect[size]);\n\tlet scrollFirstMove;\n\tlet scrollCancelled;\n\tlet scrollTranslationPrev;\n\n\tconst isHorizontalTranslation = translation => {\n\t\tconst velocity = vectorApply(vectorCreate(translation.x - scrollTranslationPrev.x, translation.y - scrollTranslationPrev.y), Math.abs);\n\t\tscrollTranslationPrev = vectorClone(translation);\n\t\tconst speed = vectorDistanceSquared(velocity);\n\t\tconst diff = velocity.x - velocity.y;\n\t\treturn !(speed > 1 && diff < -0.5);\n\t};\n\n\tconst handleDragStart = () => {\n\t\t// not overflowing so no need to handle\n\t\tif (!overflows) return;\n\n\t\tscrollCancelled = false;\n\t\tscrollFirstMove = true;\n\t\tscrollTranslationPrev = vectorCreate(0, 0);\n\t\tscrollReleased = false;\n\t\t$$invalidate(27, scrollState = 'idle');\n\t\tscrollOrigin = get_store_value(scrollOffset);\n\t};\n\n\tconst handleDragRelease = ({ detail }) => {\n\t\tif (!overflows) return;\n\t\tscrollReleased = true;\n\t\t$$invalidate(27, scrollState = 'idle');\n\t};\n\n\tconst handleDragMove = ({ detail }) => {\n\t\tif (!overflows) return;\n\t\tif (scrollCancelled) return;\n\n\t\t// fixes problem with single move event fired when clicking\n\t\tif (scrollFirstMove) {\n\t\t\tscrollFirstMove = false;\n\t\t\tif (vectorDistanceSquared(detail.translation) < 0.1) return;\n\t\t}\n\n\t\tif (scrollAutoCancel && scrollDirection === 'x' && !isHorizontalTranslation(detail.translation)) {\n\t\t\tscrollCancelled = true;\n\t\t\treturn;\n\t\t}\n\n\t\tsetScrollOffset(scrollOrigin + detail.translation[scrollDirection], { elastic: true });\n\t};\n\n\tconst handleDragEnd = ({ detail }) => {\n\t\tif (!overflows) return;\n\t\tif (scrollCancelled) return;\n\t\tconst offset = scrollOrigin + detail.translation[scrollDirection];\n\t\tconst offsetLimited = limitOffsetToContainer(offset);\n\t\tscrollAtRest = false;\n\n\t\tscrollOffset.set(offsetLimited).then(res => {\n\t\t\tif (!scrollReleased) return;\n\t\t\tscrollAtRest = true;\n\t\t});\n\t};\n\n\tconst handleResizeScrollContainer = ({ detail }) => {\n\t\t$$invalidate(28, scrollContainerRect = detail);\n\n\t\tdispatch('measure', {\n\t\t\tx: detail.x,\n\t\t\ty: detail.y,\n\t\t\twidth: detail.width,\n\t\t\theight: detail.height\n\t\t});\n\t};\n\n\tconst setScrollOffset = (offset, options = {}) => {\n\t\tconst { elastic = false, animate = false, preventScrollState = false } = options;\n\n\t\t// prevents clicks on child elements if the container is being scrolled\n\t\tif (Math.abs(offset - scrollOrigin) > scrollBlockInteractionDist && scrollState === 'idle' && !scrollReleased && !preventScrollState) {\n\t\t\t$$invalidate(27, scrollState = 'scrolling');\n\t\t}\n\n\t\tconst offsetLimited = limitOffsetToContainer(offset);\n\n\t\tconst offsetVisual = elastic && elasticity && !scrollReleased\n\t\t? offsetLimited + elastify(offset - offsetLimited, elasticity)\n\t\t: offsetLimited;\n\n\t\tlet snapToPosition = true;\n\n\t\tif (animate) {\n\t\t\tsnapToPosition = false;\n\t\t} else if (!scrollAtRest) {\n\t\t\tsnapToPosition = !scrollReleased;\n\t\t}\n\n\t\tscrollAtRest = false;\n\n\t\tscrollOffset.set(offsetVisual, { hard: snapToPosition }).then(res => {\n\t\t\tif (!scrollReleased) return;\n\t\t\tscrollAtRest = true;\n\t\t});\n\t};\n\n\tconst handleWheel = e => {\n\t\t// don't do anything if isn't overflowing\n\t\tif (!overflows) return;\n\n\t\t// hold shift scroll up -> move to begin\n\t\t// hold shift scroll down -> move to end\n\t\t// scroll down -> move to right/down\n\t\t// scroll up -> move to left/up\n\t\t// don't run default actions, prevent other actions from running\n\t\te.preventDefault();\n\n\t\te.stopPropagation();\n\n\t\t// detect if is holding shift\n\t\tconst isHoldingShift = e.shiftKey;\n\n\t\t// apply wheel delta to offset\n\t\tconst delta = getWheelDelta(e) * (isHoldingShift ? -1 : 1);\n\n\t\tconst offset = get_store_value(scrollOffset);\n\t\tsetScrollOffset(offset + delta * scrollStep, { animate: true });\n\t};\n\n\tconst handleFocus = e => {\n\t\t// don't do anything if isn't overflowing\n\t\tif (!overflows) return;\n\n\t\t// ignore this handler if is dragging\n\t\tif (!scrollReleased) return;\n\n\t\t// ignore this handler if is pressing arrow key\n\t\t// disabled for now as prevents scrolling filter list\n\t\t// if ($keysPressedStore.some((key) => ArrowKeyCodes.includes(key))) return;\n\t\tlet target = e.target;\n\n\t\t// when a target is marked as implicit we use its parent elemetn\n\t\tif (e.target.classList.contains('implicit')) target = target.parentNode;\n\n\t\t// get bounds\n\t\tconst start = target[scrollDirection === 'x' ? 'offsetLeft' : 'offsetTop']; //.offsetLeft;\n\n\t\tconst space = target[scrollDirection === 'x' ? 'offsetWidth' : 'offsetHeight']; //.offsetWidth;\n\t\tconst end = start + space;\n\n\t\t// we need to know the current offset of the scroll so we can determine if the target is in view\n\t\tconst currentScrollOffset = get_store_value(scrollOffset);\n\n\t\t// the margin around elements to keep in mind when focussing items\n\t\tconst margin = scrollFocusMargin + maskFeatherSize;\n\n\t\tif (currentScrollOffset + start < margin) {\n\t\t\tsetScrollOffset(-start + margin);\n\t\t} else if (currentScrollOffset + end > scrollContainerRect[size] - margin) {\n\t\t\tsetScrollOffset(scrollContainerRect[size] - end - margin, { animate: true });\n\t\t}\n\t};\n\n\tconst handleScroll = () => {\n\t\t// the scroll handler corrects auto browser scroll,\n\t\t// is triggered when browser tries to focus an\n\t\t// element outside of the scrollcontiner\n\t\t$$invalidate(3, container[scrollDirection === 'x' ? 'scrollLeft' : 'scrollTop'] = 0, container);\n\t};\n\n\tconst handleNudge = ({ detail }) => {\n\t\t// no nudging if arrows are used to switch between buttons\n\t\tif (container.querySelector('[data-focus-visible]')) return;\n\n\t\t// apply nudge\n\t\tconst delta = -2 * detail[scrollDirection];\n\n\t\tconst offset = get_store_value(scrollOffset);\n\t\tsetScrollOffset(offset + delta * scrollStep, { animate: true, preventScrollState: true });\n\t};\n\n\tonDestroy(() => {\n\t\tscrollOffsetUnsub();\n\t});\n\n\tconst measure_handler = e => $$invalidate(2, scrollRect = e.detail);\n\n\tfunction div1_binding($$value) {\n\t\tbinding_callbacks[$$value ? 'unshift' : 'push'](() => {\n\t\t\tcontainer = $$value;\n\t\t\t$$invalidate(3, container);\n\t\t});\n\t}\n\n\t$$self.$$set = $$props => {\n\t\tif ('class' in $$props) $$invalidate(0, klass = $$props.class);\n\t\tif ('scrollBlockInteractionDist' in $$props) $$invalidate(20, scrollBlockInteractionDist = $$props.scrollBlockInteractionDist);\n\t\tif ('scrollStep' in $$props) $$invalidate(21, scrollStep = $$props.scrollStep);\n\t\tif ('scrollFocusMargin' in $$props) $$invalidate(22, scrollFocusMargin = $$props.scrollFocusMargin);\n\t\tif ('scrollDirection' in $$props) $$invalidate(1, scrollDirection = $$props.scrollDirection);\n\t\tif ('scrollAutoCancel' in $$props) $$invalidate(23, scrollAutoCancel = $$props.scrollAutoCancel);\n\t\tif ('elasticity' in $$props) $$invalidate(24, elasticity = $$props.elasticity);\n\t\tif ('onscroll' in $$props) $$invalidate(25, onscroll = $$props.onscroll);\n\t\tif ('maskFeatherSize' in $$props) $$invalidate(19, maskFeatherSize = $$props.maskFeatherSize);\n\t\tif ('maskFeatherStartOpacity' in $$props) $$invalidate(17, maskFeatherStartOpacity = $$props.maskFeatherStartOpacity);\n\t\tif ('maskFeatherEndOpacity' in $$props) $$invalidate(18, maskFeatherEndOpacity = $$props.maskFeatherEndOpacity);\n\t\tif ('scroll' in $$props) $$invalidate(26, scroll = $$props.scroll);\n\t\tif ('$$scope' in $$props) $$invalidate(35, $$scope = $$props.$$scope);\n\t};\n\n\t$$self.$$.update = () => {\n\t\tif ($$self.$$.dirty[0] & /*scrollDirection*/ 2) {\n\t\t\t$$invalidate(31, size = scrollDirection === 'x' ? 'width' : 'height');\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*scrollDirection*/ 2) {\n\t\t\t$$invalidate(29, axis = scrollDirection.toUpperCase());\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*container*/ 8) {\n\t\t\t$$invalidate(33, containerStyle = container && getComputedStyle(container));\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*container*/ 8 | $$self.$$.dirty[1] & /*containerStyle*/ 4) {\n\t\t\t$$invalidate(32, containerFeatherSize = containerStyle && unitToPixels(containerStyle.getPropertyValue('--scrollable-feather-size')));\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*scrollContainerRect, scrollRect, maskFeatherStartOpacity, maskFeatherEndOpacity*/ 268828676 | $$self.$$.dirty[1] & /*$scrollOffset, containerFeatherSize, size*/ 11) {\n\t\t\tif ($scrollOffset != null && scrollContainerRect && containerFeatherSize != null && scrollRect) {\n\t\t\t\tconst startOffset = -1 * $scrollOffset / containerFeatherSize;\n\t\t\t\tconst endOffset = -(scrollContainerRect[size] - scrollRect[size] - $scrollOffset) / containerFeatherSize;\n\t\t\t\t$$invalidate(17, maskFeatherStartOpacity = clamp(1 - startOffset, 0, 1));\n\t\t\t\t$$invalidate(18, maskFeatherEndOpacity = clamp(1 - endOffset, 0, 1));\n\t\t\t\t$$invalidate(19, maskFeatherSize = containerFeatherSize);\n\t\t\t\t$$invalidate(4, overflowStyle = `--scrollable-feather-start-opacity: ${maskFeatherStartOpacity};--scrollable-feather-end-opacity: ${maskFeatherEndOpacity}`);\n\t\t\t}\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*container, scroll*/ 67108872) {\n\t\t\t// update scroll position\n\t\t\tif (container && scroll !== undefined) {\n\t\t\t\tif (isNumber(scroll)) setScrollOffset(scroll); else setScrollOffset(scroll.scrollOffset, scroll);\n\t\t\t}\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*scrollContainerRect, scrollRect*/ 268435460 | $$self.$$.dirty[1] & /*size*/ 1) {\n\t\t\t$$invalidate(30, overflows = scrollContainerRect && scrollRect\n\t\t\t? scrollRect[size] > scrollContainerRect[size]\n\t\t\t: undefined);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*scrollState, overflows*/ 1207959552) {\n\t\t\t$$invalidate(6, containerState = arrayJoin([scrollState, overflows ? 'overflows' : undefined]));\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*overflows, axis*/ 1610612736 | $$self.$$.dirty[1] & /*$scrollOffset*/ 8) {\n\t\t\t$$invalidate(5, childStyle = overflows\n\t\t\t? `transform: translate${axis}(${$scrollOffset}px)`\n\t\t\t: undefined);\n\t\t}\n\t};\n\n\treturn [\n\t\tklass,\n\t\tscrollDirection,\n\t\tscrollRect,\n\t\tcontainer,\n\t\toverflowStyle,\n\t\tchildStyle,\n\t\tcontainerState,\n\t\tscrollOffset,\n\t\thandleDragStart,\n\t\thandleDragRelease,\n\t\thandleDragMove,\n\t\thandleDragEnd,\n\t\thandleResizeScrollContainer,\n\t\thandleWheel,\n\t\thandleFocus,\n\t\thandleScroll,\n\t\thandleNudge,\n\t\tmaskFeatherStartOpacity,\n\t\tmaskFeatherEndOpacity,\n\t\tmaskFeatherSize,\n\t\tscrollBlockInteractionDist,\n\t\tscrollStep,\n\t\tscrollFocusMargin,\n\t\tscrollAutoCancel,\n\t\telasticity,\n\t\tonscroll,\n\t\tscroll,\n\t\tscrollState,\n\t\tscrollContainerRect,\n\t\taxis,\n\t\toverflows,\n\t\tsize,\n\t\tcontainerFeatherSize,\n\t\tcontainerStyle,\n\t\t$scrollOffset,\n\t\t$$scope,\n\t\tslots,\n\t\tmeasure_handler,\n\t\tdiv1_binding\n\t];\n}\n\nclass Scrollable extends SvelteComponent {\n\tconstructor(options) {\n\t\tsuper();\n\n\t\tinit(\n\t\t\tthis,\n\t\t\toptions,\n\t\t\tinstance$L,\n\t\t\tcreate_fragment$K,\n\t\t\tsafe_not_equal,\n\t\t\t{\n\t\t\t\tclass: 0,\n\t\t\t\tscrollBlockInteractionDist: 20,\n\t\t\t\tscrollStep: 21,\n\t\t\t\tscrollFocusMargin: 22,\n\t\t\t\tscrollDirection: 1,\n\t\t\t\tscrollAutoCancel: 23,\n\t\t\t\telasticity: 24,\n\t\t\t\tonscroll: 25,\n\t\t\t\tmaskFeatherSize: 19,\n\t\t\t\tmaskFeatherStartOpacity: 17,\n\t\t\t\tmaskFeatherEndOpacity: 18,\n\t\t\t\tscroll: 26\n\t\t\t},\n\t\t\tnull,\n\t\t\t[-1, -1]\n\t\t);\n\t}\n}\n\nfunction fade$1(node, { delay = 0, duration = 400, easing = identity } = {}) {\n    const o = +getComputedStyle(node).opacity;\n    return {\n        delay,\n        duration,\n        easing,\n        css: t => `opacity: ${t * o}`\n    };\n}\n\n/* src/core/ui/components/StatusMessage.svelte generated by Svelte v3.52.0 */\n\nfunction create_fragment$J(ctx) {\n\tlet span;\n\tlet span_transition;\n\tlet current;\n\tlet mounted;\n\tlet dispose;\n\n\treturn {\n\t\tc() {\n\t\t\tspan = element(\"span\");\n\t\t\tattr(span, \"class\", \"PinturaStatusMessage\");\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, span, anchor);\n\t\t\tspan.innerHTML = /*text*/ ctx[0];\n\t\t\tcurrent = true;\n\n\t\t\tif (!mounted) {\n\t\t\t\tdispose = [\n\t\t\t\t\tlisten(span, \"measure\", function () {\n\t\t\t\t\t\tif (is_function(/*onmeasure*/ ctx[1])) /*onmeasure*/ ctx[1].apply(this, arguments);\n\t\t\t\t\t}),\n\t\t\t\t\taction_destroyer(measurable.call(null, span))\n\t\t\t\t];\n\n\t\t\t\tmounted = true;\n\t\t\t}\n\t\t},\n\t\tp(new_ctx, [dirty]) {\n\t\t\tctx = new_ctx;\n\t\t\tif (!current || dirty & /*text*/ 1) span.innerHTML = /*text*/ ctx[0];\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\n\t\t\tadd_render_callback(() => {\n\t\t\t\tif (!span_transition) span_transition = create_bidirectional_transition(span, fade$1, { duration: 500 }, true);\n\t\t\t\tspan_transition.run(1);\n\t\t\t});\n\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\tif (!span_transition) span_transition = create_bidirectional_transition(span, fade$1, { duration: 500 }, false);\n\t\t\tspan_transition.run(0);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(span);\n\t\t\tif (detaching && span_transition) span_transition.end();\n\t\t\tmounted = false;\n\t\t\trun_all(dispose);\n\t\t}\n\t};\n}\n\nfunction instance$K($$self, $$props, $$invalidate) {\n\tlet { text } = $$props;\n\tlet { onmeasure = noop$1 } = $$props;\n\n\t$$self.$$set = $$props => {\n\t\tif ('text' in $$props) $$invalidate(0, text = $$props.text);\n\t\tif ('onmeasure' in $$props) $$invalidate(1, onmeasure = $$props.onmeasure);\n\t};\n\n\treturn [text, onmeasure];\n}\n\nclass StatusMessage extends SvelteComponent {\n\tconstructor(options) {\n\t\tsuper();\n\t\tinit(this, options, instance$K, create_fragment$J, safe_not_equal, { text: 0, onmeasure: 1 });\n\t}\n}\n\n/* src/core/ui/components/ProgressIndicator.svelte generated by Svelte v3.52.0 */\n\nfunction create_fragment$I(ctx) {\n\tlet span1;\n\tlet svg;\n\tlet g;\n\tlet circle0;\n\tlet circle1;\n\tlet t0;\n\tlet span0;\n\tlet t1;\n\n\treturn {\n\t\tc() {\n\t\t\tspan1 = element(\"span\");\n\t\t\tsvg = svg_element(\"svg\");\n\t\t\tg = svg_element(\"g\");\n\t\t\tcircle0 = svg_element(\"circle\");\n\t\t\tcircle1 = svg_element(\"circle\");\n\t\t\tt0 = space();\n\t\t\tspan0 = element(\"span\");\n\t\t\tt1 = text(/*formattedValue*/ ctx[3]);\n\t\t\tattr(circle0, \"class\", \"PinturaProgressIndicatorBar\");\n\t\t\tattr(circle0, \"r\", \"8.5\");\n\t\t\tattr(circle0, \"cx\", \"10\");\n\t\t\tattr(circle0, \"cy\", \"10\");\n\t\t\tattr(circle0, \"stroke-linecap\", \"round\");\n\t\t\tattr(circle0, \"opacity\", \".25\");\n\t\t\tattr(circle1, \"class\", \"PinturaProgressIndicatorFill\");\n\t\t\tattr(circle1, \"r\", \"8.5\");\n\t\t\tattr(circle1, \"stroke-dasharray\", /*circleValue*/ ctx[2]);\n\t\t\tattr(circle1, \"cx\", \"10\");\n\t\t\tattr(circle1, \"cy\", \"10\");\n\t\t\tattr(circle1, \"transform\", \"rotate(-90) translate(-20)\");\n\t\t\tattr(g, \"fill\", \"none\");\n\t\t\tattr(g, \"stroke\", \"currentColor\");\n\t\t\tattr(g, \"stroke-width\", \"2.5\");\n\t\t\tattr(g, \"stroke-linecap\", \"round\");\n\t\t\tattr(g, \"opacity\", /*circleOpacity*/ ctx[1]);\n\t\t\tattr(svg, \"width\", \"20\");\n\t\t\tattr(svg, \"height\", \"20\");\n\t\t\tattr(svg, \"viewBox\", \"0 0 20 20\");\n\t\t\tattr(svg, \"xmlns\", \"http://www.w3.org/2000/svg\");\n\t\t\tattr(svg, \"aria-hidden\", \"true\");\n\t\t\tattr(svg, \"focusable\", \"false\");\n\t\t\tattr(span0, \"class\", \"implicit\");\n\t\t\tattr(span1, \"class\", \"PinturaProgressIndicator\");\n\t\t\tattr(span1, \"data-status\", /*status*/ ctx[0]);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, span1, anchor);\n\t\t\tappend(span1, svg);\n\t\t\tappend(svg, g);\n\t\t\tappend(g, circle0);\n\t\t\tappend(g, circle1);\n\t\t\tappend(span1, t0);\n\t\t\tappend(span1, span0);\n\t\t\tappend(span0, t1);\n\t\t},\n\t\tp(ctx, [dirty]) {\n\t\t\tif (dirty & /*circleValue*/ 4) {\n\t\t\t\tattr(circle1, \"stroke-dasharray\", /*circleValue*/ ctx[2]);\n\t\t\t}\n\n\t\t\tif (dirty & /*circleOpacity*/ 2) {\n\t\t\t\tattr(g, \"opacity\", /*circleOpacity*/ ctx[1]);\n\t\t\t}\n\n\t\t\tif (dirty & /*formattedValue*/ 8) set_data(t1, /*formattedValue*/ ctx[3]);\n\n\t\t\tif (dirty & /*status*/ 1) {\n\t\t\t\tattr(span1, \"data-status\", /*status*/ ctx[0]);\n\t\t\t}\n\t\t},\n\t\ti: noop,\n\t\to: noop,\n\t\td(detaching) {\n\t\t\tif (detaching) detach(span1);\n\t\t}\n\t};\n}\n\nfunction instance$J($$self, $$props, $$invalidate) {\n\tlet formattedValue;\n\tlet circleValue;\n\tlet circleOpacity;\n\tlet status;\n\tlet $animatedOpacity;\n\tlet $animatedProgressClamped;\n\tconst dispatch = createEventDispatcher();\n\tlet { progress } = $$props;\n\tlet { min = 0 } = $$props;\n\tlet { max = 100 } = $$props;\n\tlet { labelBusy = 'Busy' } = $$props;\n\tconst animatedValue = spring(0, { precision: 0.01 });\n\tconst animatedOpacity = spring(0, { precision: 0.01 });\n\tcomponent_subscribe($$self, animatedOpacity, value => $$invalidate(10, $animatedOpacity = value));\n\tconst animatedProgressClamped = derived([animatedValue], $animatedValue => clamp($animatedValue, min, max));\n\tcomponent_subscribe($$self, animatedProgressClamped, value => $$invalidate(11, $animatedProgressClamped = value));\n\n\tconst animatedProgressClampedUnsub = animatedProgressClamped.subscribe(value => {\n\t\tif (progress === 1 && Math.round(value) >= 100) dispatch('complete');\n\t});\n\n\tonMount(() => {\n\t\tanimatedOpacity.set(1);\n\t});\n\n\tonDestroy(() => {\n\t\tanimatedProgressClampedUnsub();\n\t});\n\n\t$$self.$$set = $$props => {\n\t\tif ('progress' in $$props) $$invalidate(6, progress = $$props.progress);\n\t\tif ('min' in $$props) $$invalidate(7, min = $$props.min);\n\t\tif ('max' in $$props) $$invalidate(8, max = $$props.max);\n\t\tif ('labelBusy' in $$props) $$invalidate(9, labelBusy = $$props.labelBusy);\n\t};\n\n\t$$self.$$.update = () => {\n\t\tif ($$self.$$.dirty & /*progress*/ 64) {\n\t\t\tprogress && progress !== Infinity && animatedValue.set(progress * 100);\n\t\t}\n\n\t\tif ($$self.$$.dirty & /*progress, labelBusy, $animatedProgressClamped*/ 2624) {\n\t\t\t$$invalidate(3, formattedValue = progress === Infinity\n\t\t\t? labelBusy\n\t\t\t: `${Math.round($animatedProgressClamped)}%`);\n\t\t}\n\n\t\tif ($$self.$$.dirty & /*progress, $animatedProgressClamped*/ 2112) {\n\t\t\t$$invalidate(2, circleValue = progress === Infinity\n\t\t\t? '26.5 53'\n\t\t\t: `${$animatedProgressClamped / 100 * 53} 53`);\n\t\t}\n\n\t\tif ($$self.$$.dirty & /*$animatedOpacity*/ 1024) {\n\t\t\t$$invalidate(1, circleOpacity = $animatedOpacity); // Math.min(1, progress === Infinity ? 1 : $animatedProgressClamped / 10);\n\t\t}\n\n\t\tif ($$self.$$.dirty & /*progress*/ 64) {\n\t\t\t$$invalidate(0, status = progress === Infinity ? 'busy' : 'loading');\n\t\t}\n\t};\n\n\treturn [\n\t\tstatus,\n\t\tcircleOpacity,\n\t\tcircleValue,\n\t\tformattedValue,\n\t\tanimatedOpacity,\n\t\tanimatedProgressClamped,\n\t\tprogress,\n\t\tmin,\n\t\tmax,\n\t\tlabelBusy,\n\t\t$animatedOpacity,\n\t\t$animatedProgressClamped\n\t];\n}\n\nclass ProgressIndicator extends SvelteComponent {\n\tconstructor(options) {\n\t\tsuper();\n\n\t\tinit(this, options, instance$J, create_fragment$I, safe_not_equal, {\n\t\t\tprogress: 6,\n\t\t\tmin: 7,\n\t\t\tmax: 8,\n\t\t\tlabelBusy: 9\n\t\t});\n\t}\n}\n\n/* src/core/ui/components/StatusAside.svelte generated by Svelte v3.52.0 */\n\nfunction create_fragment$H(ctx) {\n\tlet span;\n\tlet span_class_value;\n\tlet current;\n\tconst default_slot_template = /*#slots*/ ctx[5].default;\n\tconst default_slot = create_slot(default_slot_template, ctx, /*$$scope*/ ctx[4], null);\n\n\treturn {\n\t\tc() {\n\t\t\tspan = element(\"span\");\n\t\t\tif (default_slot) default_slot.c();\n\t\t\tattr(span, \"class\", span_class_value = `PinturaStatusAside ${/*klass*/ ctx[0]}`);\n\t\t\tattr(span, \"style\", /*style*/ ctx[1]);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, span, anchor);\n\n\t\t\tif (default_slot) {\n\t\t\t\tdefault_slot.m(span, null);\n\t\t\t}\n\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, [dirty]) {\n\t\t\tif (default_slot) {\n\t\t\t\tif (default_slot.p && (!current || dirty & /*$$scope*/ 16)) {\n\t\t\t\t\tupdate_slot_base(\n\t\t\t\t\t\tdefault_slot,\n\t\t\t\t\t\tdefault_slot_template,\n\t\t\t\t\t\tctx,\n\t\t\t\t\t\t/*$$scope*/ ctx[4],\n\t\t\t\t\t\t!current\n\t\t\t\t\t\t? get_all_dirty_from_scope(/*$$scope*/ ctx[4])\n\t\t\t\t\t\t: get_slot_changes(default_slot_template, /*$$scope*/ ctx[4], dirty, null),\n\t\t\t\t\t\tnull\n\t\t\t\t\t);\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tif (!current || dirty & /*klass*/ 1 && span_class_value !== (span_class_value = `PinturaStatusAside ${/*klass*/ ctx[0]}`)) {\n\t\t\t\tattr(span, \"class\", span_class_value);\n\t\t\t}\n\n\t\t\tif (!current || dirty & /*style*/ 2) {\n\t\t\t\tattr(span, \"style\", /*style*/ ctx[1]);\n\t\t\t}\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(default_slot, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(default_slot, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(span);\n\t\t\tif (default_slot) default_slot.d(detaching);\n\t\t}\n\t};\n}\n\nfunction instance$I($$self, $$props, $$invalidate) {\n\tlet style;\n\tlet { $$slots: slots = {}, $$scope } = $$props;\n\tlet { offset = 0 } = $$props;\n\tlet { opacity = 0 } = $$props;\n\tlet { class: klass = undefined } = $$props;\n\n\t$$self.$$set = $$props => {\n\t\tif ('offset' in $$props) $$invalidate(2, offset = $$props.offset);\n\t\tif ('opacity' in $$props) $$invalidate(3, opacity = $$props.opacity);\n\t\tif ('class' in $$props) $$invalidate(0, klass = $$props.class);\n\t\tif ('$$scope' in $$props) $$invalidate(4, $$scope = $$props.$$scope);\n\t};\n\n\t$$self.$$.update = () => {\n\t\tif ($$self.$$.dirty & /*offset, opacity*/ 12) {\n\t\t\t$$invalidate(1, style = `transform:translateX(${offset}px);opacity:${opacity}`);\n\t\t}\n\t};\n\n\treturn [klass, style, offset, opacity, $$scope, slots];\n}\n\nclass StatusAside extends SvelteComponent {\n\tconstructor(options) {\n\t\tsuper();\n\t\tinit(this, options, instance$I, create_fragment$H, safe_not_equal, { offset: 2, opacity: 3, class: 0 });\n\t}\n}\n\n/* src/core/ui/components/Tag.svelte generated by Svelte v3.52.0 */\n\nfunction create_if_block_2$b(ctx) {\n\tlet label;\n\tlet label_for_value;\n\tlet current;\n\tconst default_slot_template = /*#slots*/ ctx[3].default;\n\tconst default_slot = create_slot(default_slot_template, ctx, /*$$scope*/ ctx[2], null);\n\tlet label_levels = [{ for: label_for_value = '_' }, /*attributes*/ ctx[1]];\n\tlet label_data = {};\n\n\tfor (let i = 0; i < label_levels.length; i += 1) {\n\t\tlabel_data = assign(label_data, label_levels[i]);\n\t}\n\n\treturn {\n\t\tc() {\n\t\t\tlabel = element(\"label\");\n\t\t\tif (default_slot) default_slot.c();\n\t\t\tset_attributes(label, label_data);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, label, anchor);\n\n\t\t\tif (default_slot) {\n\t\t\t\tdefault_slot.m(label, null);\n\t\t\t}\n\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tif (default_slot) {\n\t\t\t\tif (default_slot.p && (!current || dirty & /*$$scope*/ 4)) {\n\t\t\t\t\tupdate_slot_base(\n\t\t\t\t\t\tdefault_slot,\n\t\t\t\t\t\tdefault_slot_template,\n\t\t\t\t\t\tctx,\n\t\t\t\t\t\t/*$$scope*/ ctx[2],\n\t\t\t\t\t\t!current\n\t\t\t\t\t\t? get_all_dirty_from_scope(/*$$scope*/ ctx[2])\n\t\t\t\t\t\t: get_slot_changes(default_slot_template, /*$$scope*/ ctx[2], dirty, null),\n\t\t\t\t\t\tnull\n\t\t\t\t\t);\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tset_attributes(label, label_data = get_spread_update(label_levels, [\n\t\t\t\t{ for: label_for_value },\n\t\t\t\tdirty & /*attributes*/ 2 && /*attributes*/ ctx[1]\n\t\t\t]));\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(default_slot, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(default_slot, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(label);\n\t\t\tif (default_slot) default_slot.d(detaching);\n\t\t}\n\t};\n}\n\n// (12:26) \nfunction create_if_block_1$c(ctx) {\n\tlet div;\n\tlet current;\n\tconst default_slot_template = /*#slots*/ ctx[3].default;\n\tconst default_slot = create_slot(default_slot_template, ctx, /*$$scope*/ ctx[2], null);\n\tlet div_levels = [/*attributes*/ ctx[1]];\n\tlet div_data = {};\n\n\tfor (let i = 0; i < div_levels.length; i += 1) {\n\t\tdiv_data = assign(div_data, div_levels[i]);\n\t}\n\n\treturn {\n\t\tc() {\n\t\t\tdiv = element(\"div\");\n\t\t\tif (default_slot) default_slot.c();\n\t\t\tset_attributes(div, div_data);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, div, anchor);\n\n\t\t\tif (default_slot) {\n\t\t\t\tdefault_slot.m(div, null);\n\t\t\t}\n\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tif (default_slot) {\n\t\t\t\tif (default_slot.p && (!current || dirty & /*$$scope*/ 4)) {\n\t\t\t\t\tupdate_slot_base(\n\t\t\t\t\t\tdefault_slot,\n\t\t\t\t\t\tdefault_slot_template,\n\t\t\t\t\t\tctx,\n\t\t\t\t\t\t/*$$scope*/ ctx[2],\n\t\t\t\t\t\t!current\n\t\t\t\t\t\t? get_all_dirty_from_scope(/*$$scope*/ ctx[2])\n\t\t\t\t\t\t: get_slot_changes(default_slot_template, /*$$scope*/ ctx[2], dirty, null),\n\t\t\t\t\t\tnull\n\t\t\t\t\t);\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tset_attributes(div, div_data = get_spread_update(div_levels, [dirty & /*attributes*/ 2 && /*attributes*/ ctx[1]]));\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(default_slot, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(default_slot, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(div);\n\t\t\tif (default_slot) default_slot.d(detaching);\n\t\t}\n\t};\n}\n\n// (8:0) {#if name === 'div'}\nfunction create_if_block$d(ctx) {\n\tlet div;\n\tlet current;\n\tconst default_slot_template = /*#slots*/ ctx[3].default;\n\tconst default_slot = create_slot(default_slot_template, ctx, /*$$scope*/ ctx[2], null);\n\tlet div_levels = [/*attributes*/ ctx[1]];\n\tlet div_data = {};\n\n\tfor (let i = 0; i < div_levels.length; i += 1) {\n\t\tdiv_data = assign(div_data, div_levels[i]);\n\t}\n\n\treturn {\n\t\tc() {\n\t\t\tdiv = element(\"div\");\n\t\t\tif (default_slot) default_slot.c();\n\t\t\tset_attributes(div, div_data);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, div, anchor);\n\n\t\t\tif (default_slot) {\n\t\t\t\tdefault_slot.m(div, null);\n\t\t\t}\n\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tif (default_slot) {\n\t\t\t\tif (default_slot.p && (!current || dirty & /*$$scope*/ 4)) {\n\t\t\t\t\tupdate_slot_base(\n\t\t\t\t\t\tdefault_slot,\n\t\t\t\t\t\tdefault_slot_template,\n\t\t\t\t\t\tctx,\n\t\t\t\t\t\t/*$$scope*/ ctx[2],\n\t\t\t\t\t\t!current\n\t\t\t\t\t\t? get_all_dirty_from_scope(/*$$scope*/ ctx[2])\n\t\t\t\t\t\t: get_slot_changes(default_slot_template, /*$$scope*/ ctx[2], dirty, null),\n\t\t\t\t\t\tnull\n\t\t\t\t\t);\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tset_attributes(div, div_data = get_spread_update(div_levels, [dirty & /*attributes*/ 2 && /*attributes*/ ctx[1]]));\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(default_slot, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(default_slot, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(div);\n\t\t\tif (default_slot) default_slot.d(detaching);\n\t\t}\n\t};\n}\n\nfunction create_fragment$G(ctx) {\n\tlet current_block_type_index;\n\tlet if_block;\n\tlet if_block_anchor;\n\tlet current;\n\tconst if_block_creators = [create_if_block$d, create_if_block_1$c, create_if_block_2$b];\n\tconst if_blocks = [];\n\n\tfunction select_block_type(ctx, dirty) {\n\t\tif (/*name*/ ctx[0] === 'div') return 0;\n\t\tif (/*name*/ ctx[0] === 'span') return 1;\n\t\tif (/*name*/ ctx[0] === 'label') return 2;\n\t\treturn -1;\n\t}\n\n\tif (~(current_block_type_index = select_block_type(ctx))) {\n\t\tif_block = if_blocks[current_block_type_index] = if_block_creators[current_block_type_index](ctx);\n\t}\n\n\treturn {\n\t\tc() {\n\t\t\tif (if_block) if_block.c();\n\t\t\tif_block_anchor = empty();\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tif (~current_block_type_index) {\n\t\t\t\tif_blocks[current_block_type_index].m(target, anchor);\n\t\t\t}\n\n\t\t\tinsert(target, if_block_anchor, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, [dirty]) {\n\t\t\tlet previous_block_index = current_block_type_index;\n\t\t\tcurrent_block_type_index = select_block_type(ctx);\n\n\t\t\tif (current_block_type_index === previous_block_index) {\n\t\t\t\tif (~current_block_type_index) {\n\t\t\t\t\tif_blocks[current_block_type_index].p(ctx, dirty);\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\tif (if_block) {\n\t\t\t\t\tgroup_outros();\n\n\t\t\t\t\ttransition_out(if_blocks[previous_block_index], 1, 1, () => {\n\t\t\t\t\t\tif_blocks[previous_block_index] = null;\n\t\t\t\t\t});\n\n\t\t\t\t\tcheck_outros();\n\t\t\t\t}\n\n\t\t\t\tif (~current_block_type_index) {\n\t\t\t\t\tif_block = if_blocks[current_block_type_index];\n\n\t\t\t\t\tif (!if_block) {\n\t\t\t\t\t\tif_block = if_blocks[current_block_type_index] = if_block_creators[current_block_type_index](ctx);\n\t\t\t\t\t\tif_block.c();\n\t\t\t\t\t} else {\n\t\t\t\t\t\tif_block.p(ctx, dirty);\n\t\t\t\t\t}\n\n\t\t\t\t\ttransition_in(if_block, 1);\n\t\t\t\t\tif_block.m(if_block_anchor.parentNode, if_block_anchor);\n\t\t\t\t} else {\n\t\t\t\t\tif_block = null;\n\t\t\t\t}\n\t\t\t}\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(if_block);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(if_block);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (~current_block_type_index) {\n\t\t\t\tif_blocks[current_block_type_index].d(detaching);\n\t\t\t}\n\n\t\t\tif (detaching) detach(if_block_anchor);\n\t\t}\n\t};\n}\n\nfunction instance$H($$self, $$props, $$invalidate) {\n\tlet { $$slots: slots = {}, $$scope } = $$props;\n\tlet { name = 'div' } = $$props;\n\tlet { attributes = {} } = $$props;\n\n\t$$self.$$set = $$props => {\n\t\tif ('name' in $$props) $$invalidate(0, name = $$props.name);\n\t\tif ('attributes' in $$props) $$invalidate(1, attributes = $$props.attributes);\n\t\tif ('$$scope' in $$props) $$invalidate(2, $$scope = $$props.$$scope);\n\t};\n\n\treturn [name, attributes, $$scope, slots];\n}\n\nclass Tag extends SvelteComponent {\n\tconstructor(options) {\n\t\tsuper();\n\t\tinit(this, options, instance$H, create_fragment$G, safe_not_equal, { name: 0, attributes: 1 });\n\t}\n}\n\nvar getDevicePixelRatio = () => (isBrowser() && window.devicePixelRatio) || 1;\n\n// if this is a non retina display snap to pixel\nlet fn = null;\nvar snapToPixel = (v) => {\n    if (fn === null)\n        fn = getDevicePixelRatio() === 1 ? Math.round : (v) => v;\n    return fn(v);\n};\n\nvar focus = (element, options = {}) => {\n    if (!element)\n        return;\n    if (options.preventScroll && isSafari()) {\n        const scrollTop = document.body.scrollTop;\n        element.focus();\n        document.body.scrollTop = scrollTop;\n        return;\n    }\n    element.focus(options);\n};\n\n/* src/core/ui/components/Panel.svelte generated by Svelte v3.52.0 */\nconst get_details_slot_changes = dirty => ({});\nconst get_details_slot_context = ctx => ({});\nconst get_label_slot_changes = dirty => ({});\nconst get_label_slot_context = ctx => ({});\n\n// (216:0) {:else}\nfunction create_else_block$5(ctx) {\n\tlet button;\n\tlet current;\n\tconst button_spread_levels = [/*buttonProps*/ ctx[7]];\n\n\tlet button_props = {\n\t\t$$slots: { default: [create_default_slot$h] },\n\t\t$$scope: { ctx }\n\t};\n\n\tfor (let i = 0; i < button_spread_levels.length; i += 1) {\n\t\tbutton_props = assign(button_props, button_spread_levels[i]);\n\t}\n\n\tbutton = new Button({ props: button_props });\n\t/*button_binding_1*/ ctx[40](button);\n\n\treturn {\n\t\tc() {\n\t\t\tcreate_component(button.$$.fragment);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tmount_component(button, target, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tconst button_changes = (dirty[0] & /*buttonProps*/ 128)\n\t\t\t? get_spread_update(button_spread_levels, [get_spread_object(/*buttonProps*/ ctx[7])])\n\t\t\t: {};\n\n\t\t\tif (dirty[1] & /*$$scope*/ 8192) {\n\t\t\t\tbutton_changes.$$scope = { dirty, ctx };\n\t\t\t}\n\n\t\t\tbutton.$set(button_changes);\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(button.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(button.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\t/*button_binding_1*/ ctx[40](null);\n\t\t\tdestroy_component(button, detaching);\n\t\t}\n\t};\n}\n\n// (214:0) {#if buttonLabel}\nfunction create_if_block_2$a(ctx) {\n\tlet button;\n\tlet current;\n\tconst button_spread_levels = [/*buttonProps*/ ctx[7]];\n\tlet button_props = {};\n\n\tfor (let i = 0; i < button_spread_levels.length; i += 1) {\n\t\tbutton_props = assign(button_props, button_spread_levels[i]);\n\t}\n\n\tbutton = new Button({ props: button_props });\n\t/*button_binding*/ ctx[39](button);\n\n\treturn {\n\t\tc() {\n\t\t\tcreate_component(button.$$.fragment);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tmount_component(button, target, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tconst button_changes = (dirty[0] & /*buttonProps*/ 128)\n\t\t\t? get_spread_update(button_spread_levels, [get_spread_object(/*buttonProps*/ ctx[7])])\n\t\t\t: {};\n\n\t\t\tbutton.$set(button_changes);\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(button.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(button.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\t/*button_binding*/ ctx[39](null);\n\t\t\tdestroy_component(button, detaching);\n\t\t}\n\t};\n}\n\n// (217:4) <Button bind:this={buttonComponent} {...buttonProps}>\nfunction create_default_slot$h(ctx) {\n\tlet current;\n\tconst label_slot_template = /*#slots*/ ctx[38].label;\n\tconst label_slot = create_slot(label_slot_template, ctx, /*$$scope*/ ctx[44], get_label_slot_context);\n\n\treturn {\n\t\tc() {\n\t\t\tif (label_slot) label_slot.c();\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tif (label_slot) {\n\t\t\t\tlabel_slot.m(target, anchor);\n\t\t\t}\n\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tif (label_slot) {\n\t\t\t\tif (label_slot.p && (!current || dirty[1] & /*$$scope*/ 8192)) {\n\t\t\t\t\tupdate_slot_base(\n\t\t\t\t\t\tlabel_slot,\n\t\t\t\t\t\tlabel_slot_template,\n\t\t\t\t\t\tctx,\n\t\t\t\t\t\t/*$$scope*/ ctx[44],\n\t\t\t\t\t\t!current\n\t\t\t\t\t\t? get_all_dirty_from_scope(/*$$scope*/ ctx[44])\n\t\t\t\t\t\t: get_slot_changes(label_slot_template, /*$$scope*/ ctx[44], dirty, get_label_slot_changes),\n\t\t\t\t\t\tget_label_slot_context\n\t\t\t\t\t);\n\t\t\t\t}\n\t\t\t}\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(label_slot, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(label_slot, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (label_slot) label_slot.d(detaching);\n\t\t}\n\t};\n}\n\n// (222:0) {#if isVisible}\nfunction create_if_block_1$b(ctx) {\n\tlet div;\n\tlet t;\n\tlet span;\n\tlet div_class_value;\n\tlet current;\n\tlet mounted;\n\tlet dispose;\n\tconst details_slot_template = /*#slots*/ ctx[38].details;\n\tconst details_slot = create_slot(details_slot_template, ctx, /*$$scope*/ ctx[44], get_details_slot_context);\n\n\treturn {\n\t\tc() {\n\t\t\tdiv = element(\"div\");\n\t\t\tif (details_slot) details_slot.c();\n\t\t\tt = space();\n\t\t\tspan = element(\"span\");\n\t\t\tattr(span, \"class\", \"PinturaPanelTip\");\n\t\t\tattr(span, \"style\", /*tipStyle*/ ctx[10]);\n\t\t\tattr(div, \"class\", div_class_value = arrayJoin(['PinturaPanel', 'pintura-editor-panel', /*panelClass*/ ctx[2]]));\n\t\t\tattr(div, \"tabindex\", \"-1\");\n\t\t\tattr(div, \"style\", /*style*/ ctx[11]);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, div, anchor);\n\n\t\t\tif (details_slot) {\n\t\t\t\tdetails_slot.m(div, null);\n\t\t\t}\n\n\t\t\tappend(div, t);\n\t\t\tappend(div, span);\n\t\t\t/*div_binding*/ ctx[41](div);\n\t\t\tcurrent = true;\n\n\t\t\tif (!mounted) {\n\t\t\t\tdispose = [\n\t\t\t\t\tlisten(div, \"close\", /*close_handler*/ ctx[42]),\n\t\t\t\t\tlisten(div, \"keydown\", /*handlePanelKeydown*/ ctx[18]),\n\t\t\t\t\tlisten(div, \"measure\", /*measure_handler*/ ctx[43]),\n\t\t\t\t\taction_destroyer(measurable.call(null, div))\n\t\t\t\t];\n\n\t\t\t\tmounted = true;\n\t\t\t}\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tif (details_slot) {\n\t\t\t\tif (details_slot.p && (!current || dirty[1] & /*$$scope*/ 8192)) {\n\t\t\t\t\tupdate_slot_base(\n\t\t\t\t\t\tdetails_slot,\n\t\t\t\t\t\tdetails_slot_template,\n\t\t\t\t\t\tctx,\n\t\t\t\t\t\t/*$$scope*/ ctx[44],\n\t\t\t\t\t\t!current\n\t\t\t\t\t\t? get_all_dirty_from_scope(/*$$scope*/ ctx[44])\n\t\t\t\t\t\t: get_slot_changes(details_slot_template, /*$$scope*/ ctx[44], dirty, get_details_slot_changes),\n\t\t\t\t\t\tget_details_slot_context\n\t\t\t\t\t);\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tif (!current || dirty[0] & /*tipStyle*/ 1024) {\n\t\t\t\tattr(span, \"style\", /*tipStyle*/ ctx[10]);\n\t\t\t}\n\n\t\t\tif (!current || dirty[0] & /*panelClass*/ 4 && div_class_value !== (div_class_value = arrayJoin(['PinturaPanel', 'pintura-editor-panel', /*panelClass*/ ctx[2]]))) {\n\t\t\t\tattr(div, \"class\", div_class_value);\n\t\t\t}\n\n\t\t\tif (!current || dirty[0] & /*style*/ 2048) {\n\t\t\t\tattr(div, \"style\", /*style*/ ctx[11]);\n\t\t\t}\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(details_slot, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(details_slot, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(div);\n\t\t\tif (details_slot) details_slot.d(detaching);\n\t\t\t/*div_binding*/ ctx[41](null);\n\t\t\tmounted = false;\n\t\t\trun_all(dispose);\n\t\t}\n\t};\n}\n\nfunction create_fragment$F(ctx) {\n\tlet t0;\n\tlet current_block_type_index;\n\tlet if_block0;\n\tlet t1;\n\tlet t2;\n\tlet if_block2_anchor;\n\tlet current;\n\tlet mounted;\n\tlet dispose;\n\tconst if_block_creators = [create_if_block_2$a, create_else_block$5];\n\tconst if_blocks = [];\n\n\tfunction select_block_type(ctx, dirty) {\n\t\tif (/*buttonLabel*/ ctx[1]) return 0;\n\t\treturn 1;\n\t}\n\n\tcurrent_block_type_index = select_block_type(ctx);\n\tif_block0 = if_blocks[current_block_type_index] = if_block_creators[current_block_type_index](ctx);\n\tlet if_block1 = /*isVisible*/ ctx[6] && create_if_block_1$b(ctx);\n\tlet if_block2 = false ;\n\n\treturn {\n\t\tc() {\n\t\t\tt0 = space();\n\t\t\tif_block0.c();\n\t\t\tt1 = space();\n\t\t\tif (if_block1) if_block1.c();\n\t\t\tt2 = space();\n\t\t\tif_block2_anchor = empty();\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, t0, anchor);\n\t\t\tif_blocks[current_block_type_index].m(target, anchor);\n\t\t\tinsert(target, t1, anchor);\n\t\t\tif (if_block1) if_block1.m(target, anchor);\n\t\t\tinsert(target, t2, anchor);\n\t\t\tinsert(target, if_block2_anchor, anchor);\n\t\t\tcurrent = true;\n\n\t\t\tif (!mounted) {\n\t\t\t\tdispose = [\n\t\t\t\t\tlisten(document.body, \"pointerdown\", function () {\n\t\t\t\t\t\tif (is_function(/*handleDown*/ ctx[9])) /*handleDown*/ ctx[9].apply(this, arguments);\n\t\t\t\t\t}),\n\t\t\t\t\tlisten(document.body, \"pointerup\", function () {\n\t\t\t\t\t\tif (is_function(/*handleUp*/ ctx[8])) /*handleUp*/ ctx[8].apply(this, arguments);\n\t\t\t\t\t})\n\t\t\t\t];\n\n\t\t\t\tmounted = true;\n\t\t\t}\n\t\t},\n\t\tp(new_ctx, dirty) {\n\t\t\tctx = new_ctx;\n\t\t\tlet previous_block_index = current_block_type_index;\n\t\t\tcurrent_block_type_index = select_block_type(ctx);\n\n\t\t\tif (current_block_type_index === previous_block_index) {\n\t\t\t\tif_blocks[current_block_type_index].p(ctx, dirty);\n\t\t\t} else {\n\t\t\t\tgroup_outros();\n\n\t\t\t\ttransition_out(if_blocks[previous_block_index], 1, 1, () => {\n\t\t\t\t\tif_blocks[previous_block_index] = null;\n\t\t\t\t});\n\n\t\t\t\tcheck_outros();\n\t\t\t\tif_block0 = if_blocks[current_block_type_index];\n\n\t\t\t\tif (!if_block0) {\n\t\t\t\t\tif_block0 = if_blocks[current_block_type_index] = if_block_creators[current_block_type_index](ctx);\n\t\t\t\t\tif_block0.c();\n\t\t\t\t} else {\n\t\t\t\t\tif_block0.p(ctx, dirty);\n\t\t\t\t}\n\n\t\t\t\ttransition_in(if_block0, 1);\n\t\t\t\tif_block0.m(t1.parentNode, t1);\n\t\t\t}\n\n\t\t\tif (/*isVisible*/ ctx[6]) {\n\t\t\t\tif (if_block1) {\n\t\t\t\t\tif_block1.p(ctx, dirty);\n\n\t\t\t\t\tif (dirty[0] & /*isVisible*/ 64) {\n\t\t\t\t\t\ttransition_in(if_block1, 1);\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tif_block1 = create_if_block_1$b(ctx);\n\t\t\t\t\tif_block1.c();\n\t\t\t\t\ttransition_in(if_block1, 1);\n\t\t\t\t\tif_block1.m(t2.parentNode, t2);\n\t\t\t\t}\n\t\t\t} else if (if_block1) {\n\t\t\t\tgroup_outros();\n\n\t\t\t\ttransition_out(if_block1, 1, 1, () => {\n\t\t\t\t\tif_block1 = null;\n\t\t\t\t});\n\n\t\t\t\tcheck_outros();\n\t\t\t}\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(if_block0);\n\t\t\ttransition_in(if_block1);\n\t\t\ttransition_in(if_block2);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(if_block0);\n\t\t\ttransition_out(if_block1);\n\t\t\ttransition_out(if_block2);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(t0);\n\t\t\tif_blocks[current_block_type_index].d(detaching);\n\t\t\tif (detaching) detach(t1);\n\t\t\tif (if_block1) if_block1.d(detaching);\n\t\t\tif (detaching) detach(t2);\n\t\t\tif (detaching) detach(if_block2_anchor);\n\t\t\tmounted = false;\n\t\t\trun_all(dispose);\n\t\t}\n\t};\n}\n\nlet panelMargin = 12;\n\nfunction instance$G($$self, $$props, $$invalidate) {\n\tlet buttonElement;\n\tlet offsetProgress;\n\tlet isVisible;\n\tlet isAnimating;\n\tlet transform;\n\tlet style;\n\tlet tipScale;\n\tlet tipOpacity;\n\tlet tipStyle;\n\tlet handleDown;\n\tlet handleUp;\n\tlet buttonProps;\n\tlet $portal;\n\tlet $position;\n\tlet $opacity;\n\tlet $offset;\n\tlet $portalRootRect;\n\tlet $isAnimated;\n\tlet { $$slots: slots = {}, $$scope } = $$props;\n\tlet { buttonClass = undefined } = $$props;\n\tlet { buttonLabel = undefined } = $$props;\n\tlet { panelClass = undefined } = $$props;\n\tlet { isActive = false } = $$props;\n\tlet { onshow = ({ panel }) => focus(panel, { preventScroll: true }) } = $$props;\n\tlet { onhide = noop$1 } = $$props;\n\tconst isAnimated = getContext('isAnimated');\n\tcomponent_subscribe($$self, isAnimated, value => $$invalidate(37, $isAnimated = value));\n\tconst portal = getContext('rootPortal');\n\tcomponent_subscribe($$self, portal, value => $$invalidate(32, $portal = value));\n\tconst portalRootRect = getContext('rootRect');\n\tcomponent_subscribe($$self, portalRootRect, value => $$invalidate(36, $portalRootRect = value));\n\tlet panelSize;\n\tlet buttonComponent;\n\tlet buttonRect;\n\tconst syncButtonRect = () => $$invalidate(22, buttonRect = buttonElement && buttonElement.getBoundingClientRect());\n\tlet dir = vectorCreateEmpty();\n\tlet opacity = spring(0);\n\tcomponent_subscribe($$self, opacity, value => $$invalidate(34, $opacity = value));\n\tlet shift = vectorCreateEmpty();\n\tconst position = writable({ x: 0, y: 0 });\n\tcomponent_subscribe($$self, position, value => $$invalidate(33, $position = value));\n\n\tconst offset = spring(-5, {\n\t\tstiffness: 0.1,\n\t\tdamping: 0.35,\n\t\tprecision: 0.001\n\t});\n\n\tcomponent_subscribe($$self, offset, value => $$invalidate(35, $offset = value));\n\tconst isTargetSelf = e => isEventTarget(e, $portal) || buttonComponent.isEventTarget(e);\n\tlet downOutsidePanel = false;\n\n\t// move detail panel to portal\n\tlet detailPanel;\n\n\tlet trigger;\n\n\t// test keydown press to open\n\tconst handleClick = e => {\n\t\tif (!isActive) syncButtonRect();\n\t\t$$invalidate(26, trigger = e);\n\t\t$$invalidate(0, isActive = !isActive);\n\t};\n\n\tconst handleButtonKeydown = e => {\n\t\tif (!(/down/i).test(e.key)) return;\n\t\t$$invalidate(0, isActive = true);\n\t\t$$invalidate(26, trigger = e);\n\t};\n\n\tconst handlePanelKeydown = e => {\n\t\tif (!(/esc/i).test(e.key)) return;\n\t\t$$invalidate(0, isActive = false);\n\t\tbuttonElement.focus();\n\t};\n\n\t// clean up panel if it was appended to a portal\n\tonDestroy(() => {\n\t\t// no panel or portal, exit\n\t\tif (!$portal) return;\n\n\t\tif (!detailPanel) return;\n\n\t\t// store a ref\n\t\tconst detailPanelRef = detailPanel;\n\n\t\t// clean up \"manually\" if svelte failed to detach, this sometimes happens if parent element is removed from DOM\n\t\ttick$1().then(() => {\n\t\t\tif (!detailPanelRef.parentNode) return;\n\t\t\tdetailPanelRef.remove();\n\t\t});\n\t});\n\n\tfunction button_binding($$value) {\n\t\tbinding_callbacks[$$value ? 'unshift' : 'push'](() => {\n\t\t\tbuttonComponent = $$value;\n\t\t\t$$invalidate(4, buttonComponent);\n\t\t});\n\t}\n\n\tfunction button_binding_1($$value) {\n\t\tbinding_callbacks[$$value ? 'unshift' : 'push'](() => {\n\t\t\tbuttonComponent = $$value;\n\t\t\t$$invalidate(4, buttonComponent);\n\t\t});\n\t}\n\n\tfunction div_binding($$value) {\n\t\tbinding_callbacks[$$value ? 'unshift' : 'push'](() => {\n\t\t\tdetailPanel = $$value;\n\t\t\t$$invalidate(5, detailPanel);\n\t\t});\n\t}\n\n\tconst close_handler = e => {\n\t\te.stopPropagation();\n\t\t$$invalidate(0, isActive = false);\n\t};\n\n\tconst measure_handler = e => $$invalidate(3, panelSize = sizeCreateFromAny(e.detail));\n\n\t$$self.$$set = $$props => {\n\t\tif ('buttonClass' in $$props) $$invalidate(19, buttonClass = $$props.buttonClass);\n\t\tif ('buttonLabel' in $$props) $$invalidate(1, buttonLabel = $$props.buttonLabel);\n\t\tif ('panelClass' in $$props) $$invalidate(2, panelClass = $$props.panelClass);\n\t\tif ('isActive' in $$props) $$invalidate(0, isActive = $$props.isActive);\n\t\tif ('onshow' in $$props) $$invalidate(20, onshow = $$props.onshow);\n\t\tif ('onhide' in $$props) $$invalidate(21, onhide = $$props.onhide);\n\t\tif ('$$scope' in $$props) $$invalidate(44, $$scope = $$props.$$scope);\n\t};\n\n\t$$self.$$.update = () => {\n\t\tif ($$self.$$.dirty[0] & /*buttonComponent*/ 16) {\n\t\t\tbuttonElement = buttonComponent && buttonComponent.getElement();\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*isActive, downOutsidePanel*/ 33554433) {\n\t\t\t$$invalidate(8, handleUp = isActive\n\t\t\t? e => {\n\t\t\t\t\tif (!downOutsidePanel) return;\n\t\t\t\t\t$$invalidate(25, downOutsidePanel = false);\n\t\t\t\t\tif (isTargetSelf(e)) return;\n\t\t\t\t\t$$invalidate(0, isActive = false);\n\t\t\t\t}\n\t\t\t: undefined);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*isActive*/ 1 | $$self.$$.dirty[1] & /*$isAnimated*/ 64) {\n\t\t\topacity.set(isActive ? 1 : 0, { hard: $isAnimated === false });\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*isActive*/ 1 | $$self.$$.dirty[1] & /*$isAnimated*/ 64) {\n\t\t\toffset.set(isActive ? 0 : -5, { hard: $isAnimated === false });\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*$offset*/ 16) {\n\t\t\t$$invalidate(29, offsetProgress = 1 - $offset / -5);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*isActive*/ 1 | $$self.$$.dirty[1] & /*$portalRootRect*/ 32) {\n\t\t\tif ($portalRootRect && isActive) syncButtonRect();\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*panelSize, buttonRect, isActive*/ 4194313 | $$self.$$.dirty[1] & /*$portalRootRect*/ 32) {\n\t\t\tif ($portalRootRect && panelSize && buttonRect && isActive) {\n\t\t\t\t// as a starting point we'll align panel to center of button and position below\n\t\t\t\tlet x = buttonRect.x - $portalRootRect.x + buttonRect.width * 0.5 - panelSize.width * 0.5;\n\n\t\t\t\tlet y = buttonRect.y - $portalRootRect.y + buttonRect.height;\n\t\t\t\tconst parentLeft = panelMargin;\n\t\t\t\tconst parentTop = panelMargin;\n\t\t\t\tconst parentRight = $portalRootRect.width - panelMargin;\n\t\t\t\tconst parentBottom = $portalRootRect.height - panelMargin;\n\t\t\t\tconst panelLeft = x;\n\t\t\t\tconst panelTop = y;\n\t\t\t\tconst panelRight = panelLeft + panelSize.width;\n\t\t\t\tconst panelBottom = panelTop + panelSize.height;\n\n\t\t\t\t// move to right\n\t\t\t\tif (panelLeft < parentLeft) {\n\t\t\t\t\t$$invalidate(24, shift.x = panelLeft - parentLeft, shift);\n\t\t\t\t\tx = parentLeft;\n\t\t\t\t}\n\n\t\t\t\t// move to left\n\t\t\t\tif (panelRight > parentRight) {\n\t\t\t\t\t$$invalidate(24, shift.x = panelRight - parentRight, shift);\n\t\t\t\t\tx = parentRight - panelSize.width;\n\t\t\t\t}\n\n\t\t\t\tif (panelBottom > parentBottom) {\n\t\t\t\t\t// doesn't fit vertically, push up\n\t\t\t\t\t$$invalidate(23, dir.y = -1, dir);\n\n\t\t\t\t\tconst positionedAboveButtonY = y - panelSize.height - buttonRect.height;\n\t\t\t\t\tconst panelFitsAboveButton = parentTop < positionedAboveButtonY;\n\n\t\t\t\t\tif (panelFitsAboveButton) {\n\t\t\t\t\t\t$$invalidate(24, shift.y = 0, shift);\n\t\t\t\t\t\ty -= panelSize.height + buttonRect.height;\n\t\t\t\t\t} else {\n\t\t\t\t\t\t// overlap with button\n\t\t\t\t\t\t$$invalidate(24, shift.y = y - (panelBottom - parentBottom), shift);\n\n\t\t\t\t\t\ty -= panelBottom - parentBottom;\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\t// all is fine\n\t\t\t\t\t$$invalidate(23, dir.y = 1, dir);\n\t\t\t\t}\n\n\t\t\t\tset_store_value(position, $position = vectorApply(vectorCreate(x, y), snapToPixel), $position);\n\t\t\t}\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*$opacity*/ 8) {\n\t\t\t$$invalidate(6, isVisible = $opacity > 0);\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*$opacity*/ 8) {\n\t\t\t$$invalidate(31, isAnimating = $opacity < 1);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*dir*/ 8388608 | $$self.$$.dirty[1] & /*$position, $offset*/ 20) {\n\t\t\t$$invalidate(30, transform = `translateX(${Math.round($position.x) + dir.x * panelMargin}px) translateY(${Math.round($position.y) + dir.y * panelMargin + dir.y * $offset}px)`);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*transform*/ 1073741824 | $$self.$$.dirty[1] & /*isAnimating, $opacity*/ 9) {\n\t\t\t$$invalidate(11, style = isAnimating\n\t\t\t? `opacity: ${$opacity}; pointer-events: ${$opacity < 1 ? 'none' : 'all'}; transform: ${transform};`\n\t\t\t: `transform: ${transform}`);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*offsetProgress*/ 536870912) {\n\t\t\t$$invalidate(27, tipScale = 0.5 + offsetProgress * 0.5);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*offsetProgress*/ 536870912) {\n\t\t\t$$invalidate(28, tipOpacity = offsetProgress);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*panelSize, tipOpacity, tipScale, dir, shift*/ 427819016 | $$self.$$.dirty[1] & /*$position*/ 4) {\n\t\t\t$$invalidate(10, tipStyle = $position && panelSize && `opacity:${tipOpacity};transform:scaleX(${tipScale})rotate(45deg);top:${dir.y < 0 ? shift.y + panelSize.height : 0}px;left:${shift.x + panelSize.width * 0.5}px`);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*isActive*/ 1) {\n\t\t\t$$invalidate(9, handleDown = isActive\n\t\t\t? e => {\n\t\t\t\t\tif (isTargetSelf(e)) return;\n\t\t\t\t\t$$invalidate(25, downOutsidePanel = true);\n\t\t\t\t}\n\t\t\t: undefined);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*isVisible, detailPanel*/ 96 | $$self.$$.dirty[1] & /*$portal*/ 2) {\n\t\t\tif (isVisible && $portal && detailPanel && detailPanel.parentNode !== $portal) $portal.append(detailPanel);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*isActive*/ 1) {\n\t\t\tif (!isActive) {\n\t\t\t\t$$invalidate(26, trigger = undefined);\n\t\t\t}\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*isActive, isVisible, detailPanel, onshow, trigger*/ 68157537) {\n\t\t\tif (isActive && isVisible && detailPanel) {\n\t\t\t\tonshow({ e: trigger, panel: detailPanel });\n\t\t\t}\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*isVisible, isActive, onhide*/ 2097217) {\n\t\t\tif (isVisible && !isActive) {\n\t\t\t\tonhide();\n\t\t\t}\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*buttonLabel, buttonClass*/ 524290) {\n\t\t\t// calculate button props for both types of buttons\n\t\t\t$$invalidate(7, buttonProps = {\n\t\t\t\tlabel: buttonLabel,\n\t\t\t\tclass: arrayJoin(['PinturaPanelButton', buttonClass]),\n\t\t\t\tonkeydown: handleButtonKeydown,\n\t\t\t\tonclick: handleClick\n\t\t\t});\n\t\t}\n\t};\n\n\treturn [\n\t\tisActive,\n\t\tbuttonLabel,\n\t\tpanelClass,\n\t\tpanelSize,\n\t\tbuttonComponent,\n\t\tdetailPanel,\n\t\tisVisible,\n\t\tbuttonProps,\n\t\thandleUp,\n\t\thandleDown,\n\t\ttipStyle,\n\t\tstyle,\n\t\tisAnimated,\n\t\tportal,\n\t\tportalRootRect,\n\t\topacity,\n\t\tposition,\n\t\toffset,\n\t\thandlePanelKeydown,\n\t\tbuttonClass,\n\t\tonshow,\n\t\tonhide,\n\t\tbuttonRect,\n\t\tdir,\n\t\tshift,\n\t\tdownOutsidePanel,\n\t\ttrigger,\n\t\ttipScale,\n\t\ttipOpacity,\n\t\toffsetProgress,\n\t\ttransform,\n\t\tisAnimating,\n\t\t$portal,\n\t\t$position,\n\t\t$opacity,\n\t\t$offset,\n\t\t$portalRootRect,\n\t\t$isAnimated,\n\t\tslots,\n\t\tbutton_binding,\n\t\tbutton_binding_1,\n\t\tdiv_binding,\n\t\tclose_handler,\n\t\tmeasure_handler,\n\t\t$$scope\n\t];\n}\n\nclass Panel extends SvelteComponent {\n\tconstructor(options) {\n\t\tsuper();\n\n\t\tinit(\n\t\t\tthis,\n\t\t\toptions,\n\t\t\tinstance$G,\n\t\t\tcreate_fragment$F,\n\t\t\tsafe_not_equal,\n\t\t\t{\n\t\t\t\tbuttonClass: 19,\n\t\t\t\tbuttonLabel: 1,\n\t\t\t\tpanelClass: 2,\n\t\t\t\tisActive: 0,\n\t\t\t\tonshow: 20,\n\t\t\t\tonhide: 21\n\t\t\t},\n\t\t\tnull,\n\t\t\t[-1, -1]\n\t\t);\n\t}\n}\n\nvar ArrowKeys = {\n    Up: 38,\n    Down: 40,\n    Left: 37,\n    Right: 39,\n};\n\n/* src/core/ui/components/RadioItem.svelte generated by Svelte v3.52.0 */\n\nfunction create_fragment$E(ctx) {\n\tlet li;\n\tlet input;\n\tlet t;\n\tlet label_1;\n\tlet li_class_value;\n\tlet current;\n\tlet mounted;\n\tlet dispose;\n\tconst default_slot_template = /*#slots*/ ctx[15].default;\n\tconst default_slot = create_slot(default_slot_template, ctx, /*$$scope*/ ctx[14], null);\n\n\treturn {\n\t\tc() {\n\t\t\tli = element(\"li\");\n\t\t\tinput = element(\"input\");\n\t\t\tt = space();\n\t\t\tlabel_1 = element(\"label\");\n\t\t\tif (default_slot) default_slot.c();\n\t\t\tattr(input, \"type\", \"radio\");\n\t\t\tattr(input, \"class\", \"implicit\");\n\t\t\tattr(input, \"id\", /*inputId*/ ctx[7]);\n\t\t\tattr(input, \"name\", /*name*/ ctx[0]);\n\t\t\tinput.value = /*value*/ ctx[3];\n\t\t\tinput.disabled = /*disabled*/ ctx[6];\n\t\t\tinput.hidden = /*hidden*/ ctx[5];\n\t\t\tinput.checked = /*checked*/ ctx[4];\n\t\t\tattr(label_1, \"for\", /*inputId*/ ctx[7]);\n\t\t\tattr(label_1, \"title\", /*label*/ ctx[2]);\n\t\t\tattr(li, \"class\", li_class_value = arrayJoin(['PinturaRadioGroupOption', /*klass*/ ctx[1]]));\n\t\t\tattr(li, \"data-hidden\", /*hidden*/ ctx[5]);\n\t\t\tattr(li, \"data-disabled\", /*disabled*/ ctx[6]);\n\t\t\tattr(li, \"data-selected\", /*checked*/ ctx[4]);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, li, anchor);\n\t\t\tappend(li, input);\n\t\t\tappend(li, t);\n\t\t\tappend(li, label_1);\n\n\t\t\tif (default_slot) {\n\t\t\t\tdefault_slot.m(label_1, null);\n\t\t\t}\n\n\t\t\tcurrent = true;\n\n\t\t\tif (!mounted) {\n\t\t\t\tdispose = [\n\t\t\t\t\tlisten(input, \"change\", stop_propagation(/*change_handler*/ ctx[16])),\n\t\t\t\t\tlisten(input, \"keydown\", /*handleKeydown*/ ctx[9]),\n\t\t\t\t\tlisten(input, \"click\", /*handleClick*/ ctx[10])\n\t\t\t\t];\n\n\t\t\t\tmounted = true;\n\t\t\t}\n\t\t},\n\t\tp(ctx, [dirty]) {\n\t\t\tif (!current || dirty & /*inputId*/ 128) {\n\t\t\t\tattr(input, \"id\", /*inputId*/ ctx[7]);\n\t\t\t}\n\n\t\t\tif (!current || dirty & /*name*/ 1) {\n\t\t\t\tattr(input, \"name\", /*name*/ ctx[0]);\n\t\t\t}\n\n\t\t\tif (!current || dirty & /*value*/ 8) {\n\t\t\t\tinput.value = /*value*/ ctx[3];\n\t\t\t}\n\n\t\t\tif (!current || dirty & /*disabled*/ 64) {\n\t\t\t\tinput.disabled = /*disabled*/ ctx[6];\n\t\t\t}\n\n\t\t\tif (!current || dirty & /*hidden*/ 32) {\n\t\t\t\tinput.hidden = /*hidden*/ ctx[5];\n\t\t\t}\n\n\t\t\tif (!current || dirty & /*checked*/ 16) {\n\t\t\t\tinput.checked = /*checked*/ ctx[4];\n\t\t\t}\n\n\t\t\tif (default_slot) {\n\t\t\t\tif (default_slot.p && (!current || dirty & /*$$scope*/ 16384)) {\n\t\t\t\t\tupdate_slot_base(\n\t\t\t\t\t\tdefault_slot,\n\t\t\t\t\t\tdefault_slot_template,\n\t\t\t\t\t\tctx,\n\t\t\t\t\t\t/*$$scope*/ ctx[14],\n\t\t\t\t\t\t!current\n\t\t\t\t\t\t? get_all_dirty_from_scope(/*$$scope*/ ctx[14])\n\t\t\t\t\t\t: get_slot_changes(default_slot_template, /*$$scope*/ ctx[14], dirty, null),\n\t\t\t\t\t\tnull\n\t\t\t\t\t);\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tif (!current || dirty & /*inputId*/ 128) {\n\t\t\t\tattr(label_1, \"for\", /*inputId*/ ctx[7]);\n\t\t\t}\n\n\t\t\tif (!current || dirty & /*label*/ 4) {\n\t\t\t\tattr(label_1, \"title\", /*label*/ ctx[2]);\n\t\t\t}\n\n\t\t\tif (!current || dirty & /*klass*/ 2 && li_class_value !== (li_class_value = arrayJoin(['PinturaRadioGroupOption', /*klass*/ ctx[1]]))) {\n\t\t\t\tattr(li, \"class\", li_class_value);\n\t\t\t}\n\n\t\t\tif (!current || dirty & /*hidden*/ 32) {\n\t\t\t\tattr(li, \"data-hidden\", /*hidden*/ ctx[5]);\n\t\t\t}\n\n\t\t\tif (!current || dirty & /*disabled*/ 64) {\n\t\t\t\tattr(li, \"data-disabled\", /*disabled*/ ctx[6]);\n\t\t\t}\n\n\t\t\tif (!current || dirty & /*checked*/ 16) {\n\t\t\t\tattr(li, \"data-selected\", /*checked*/ ctx[4]);\n\t\t\t}\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(default_slot, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(default_slot, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(li);\n\t\t\tif (default_slot) default_slot.d(detaching);\n\t\t\tmounted = false;\n\t\t\trun_all(dispose);\n\t\t}\n\t};\n}\n\nfunction instance$F($$self, $$props, $$invalidate) {\n\tlet inputId;\n\tlet $keysPressedStored;\n\tlet { $$slots: slots = {}, $$scope } = $$props;\n\tlet { name } = $$props;\n\tlet { class: klass = undefined } = $$props;\n\tlet { label } = $$props;\n\tlet { id } = $$props;\n\tlet { value } = $$props;\n\tlet { checked } = $$props;\n\tlet { onkeydown } = $$props;\n\tlet { onclick } = $$props;\n\tlet { hidden = false } = $$props;\n\tlet { disabled = false } = $$props;\n\tconst ArrowKeyCodes = Object.values(ArrowKeys);\n\tconst keysPressedStored = getContext('keysPressed');\n\tcomponent_subscribe($$self, keysPressedStored, value => $$invalidate(17, $keysPressedStored = value));\n\n\tconst handleKeydown = e => {\n\t\tonkeydown(e);\n\t};\n\n\tconst handleClick = e => {\n\t\t// if pressed arrow key -> ignore so navigation with arrow keys works\n\t\tif ($keysPressedStored.some(key => ArrowKeyCodes.includes(key))) return;\n\n\t\t// just a normal click\n\t\tonclick(e);\n\t};\n\n\tfunction change_handler(event) {\n\t\tbubble.call(this, $$self, event);\n\t}\n\n\t$$self.$$set = $$props => {\n\t\tif ('name' in $$props) $$invalidate(0, name = $$props.name);\n\t\tif ('class' in $$props) $$invalidate(1, klass = $$props.class);\n\t\tif ('label' in $$props) $$invalidate(2, label = $$props.label);\n\t\tif ('id' in $$props) $$invalidate(11, id = $$props.id);\n\t\tif ('value' in $$props) $$invalidate(3, value = $$props.value);\n\t\tif ('checked' in $$props) $$invalidate(4, checked = $$props.checked);\n\t\tif ('onkeydown' in $$props) $$invalidate(12, onkeydown = $$props.onkeydown);\n\t\tif ('onclick' in $$props) $$invalidate(13, onclick = $$props.onclick);\n\t\tif ('hidden' in $$props) $$invalidate(5, hidden = $$props.hidden);\n\t\tif ('disabled' in $$props) $$invalidate(6, disabled = $$props.disabled);\n\t\tif ('$$scope' in $$props) $$invalidate(14, $$scope = $$props.$$scope);\n\t};\n\n\t$$self.$$.update = () => {\n\t\tif ($$self.$$.dirty & /*name, id*/ 2049) {\n\t\t\t$$invalidate(7, inputId = `${name}-${id}`);\n\t\t}\n\t};\n\n\treturn [\n\t\tname,\n\t\tklass,\n\t\tlabel,\n\t\tvalue,\n\t\tchecked,\n\t\thidden,\n\t\tdisabled,\n\t\tinputId,\n\t\tkeysPressedStored,\n\t\thandleKeydown,\n\t\thandleClick,\n\t\tid,\n\t\tonkeydown,\n\t\tonclick,\n\t\t$$scope,\n\t\tslots,\n\t\tchange_handler\n\t];\n}\n\nclass RadioItem extends SvelteComponent {\n\tconstructor(options) {\n\t\tsuper();\n\n\t\tinit(this, options, instance$F, create_fragment$E, safe_not_equal, {\n\t\t\tname: 0,\n\t\t\tclass: 1,\n\t\t\tlabel: 2,\n\t\t\tid: 11,\n\t\t\tvalue: 3,\n\t\t\tchecked: 4,\n\t\t\tonkeydown: 12,\n\t\t\tonclick: 13,\n\t\t\thidden: 5,\n\t\t\tdisabled: 6\n\t\t});\n\t}\n}\n\nvar flattenOptions = (options = []) => options.reduce((prev, current) => {\n    const isGroup = isArray(current) ? isArray(current[1]) : !!current.options;\n    if (isGroup) {\n        return prev.concat(isArray(current) ? current[1] : current.options);\n    }\n    prev.push(current);\n    return prev;\n}, []);\n\nconst mapOption = (option, index, optionMapper) => {\n    let mappedOption;\n    if (isArray(option)) {\n        mappedOption = {\n            id: index,\n            value: option[0],\n            label: option[1],\n            ...(option[2] || {}),\n        };\n    }\n    else {\n        mappedOption = option;\n        mappedOption.id = mappedOption.id != null ? mappedOption.id : index;\n    }\n    return optionMapper ? optionMapper(mappedOption) : mappedOption;\n};\nvar mapOptions = (options = [], optionMapper) => {\n    let index = 0;\n    return options.map((option) => {\n        index++;\n        if (isArray(option)) {\n            // is either [label, options] or [value, label]\n            if (isArray(option[1])) {\n                return {\n                    id: index,\n                    label: option[0],\n                    options: option[1].map((option) => mapOption(option, ++index, optionMapper)),\n                };\n            }\n            return mapOption(option, index, optionMapper);\n        }\n        else {\n            // is either { id?, label, options } or { id?, value, label }\n            if (option.options) {\n                return {\n                    id: option.id || index,\n                    label: option.label,\n                    options: option.options.map((option) => mapOption(option, ++index, optionMapper)),\n                };\n            }\n            return mapOption(option, index, optionMapper);\n        }\n    });\n};\n\nvar opop = (fn, ...args) => fn && fn(...args);\n\nvar localize = (prop, locale, params) => isFunction(prop) ? prop(locale, params) : prop;\n\nconst localizeOptions = (options, locale) => options.map(([value, label, props]) => {\n    if (isArray(label)) {\n        return [localize(value, locale), localizeOptions(label, locale)];\n    }\n    else {\n        const res = [value, localize(label, locale)];\n        if (props) {\n            let obj = { ...props };\n            if (props.icon)\n                obj.icon = localize(props.icon, locale);\n            res.push(obj);\n        }\n        return res;\n    }\n});\nvar localizeOptions$1 = (options, locale) => localizeOptions(options, locale);\n\nvar isConfirmKey = (key) => /enter| /i.test(key);\n\nvar isDeepEqual = (a, b) => {\n    if (Array.isArray(a) && Array.isArray(b))\n        return arrayEqual(a, b);\n    return a === b;\n};\n\n/* src/core/ui/components/RadioGroup.svelte generated by Svelte v3.52.0 */\n\nfunction get_each_context$7(ctx, list, i) {\n\tconst child_ctx = ctx.slice();\n\tchild_ctx[27] = list[i];\n\treturn child_ctx;\n}\n\nconst get_option_slot_changes_1 = dirty => ({\n\toption: dirty[0] & /*mappedOptions*/ 1024\n});\n\nconst get_option_slot_context_1 = ctx => ({ option: /*option*/ ctx[27] });\n\nfunction get_each_context_1(ctx, list, i) {\n\tconst child_ctx = ctx.slice();\n\tchild_ctx[27] = list[i];\n\treturn child_ctx;\n}\n\nconst get_option_slot_changes = dirty => ({\n\toption: dirty[0] & /*mappedOptions*/ 1024\n});\n\nconst get_option_slot_context = ctx => ({ option: /*option*/ ctx[27] });\n\nconst get_group_slot_changes = dirty => ({\n\toption: dirty[0] & /*mappedOptions*/ 1024\n});\n\nconst get_group_slot_context = ctx => ({ option: /*option*/ ctx[27] });\n\n// (78:0) {#if localizedOptions.length}\nfunction create_if_block_1$a(ctx) {\n\tlet fieldset;\n\tlet t;\n\tlet ul;\n\tlet each_blocks = [];\n\tlet each_1_lookup = new Map();\n\tlet fieldset_class_value;\n\tlet current;\n\tlet if_block = /*label*/ ctx[1] && create_if_block_7$1(ctx);\n\tlet each_value = /*mappedOptions*/ ctx[10];\n\tconst get_key = ctx => /*option*/ ctx[27].id;\n\n\tfor (let i = 0; i < each_value.length; i += 1) {\n\t\tlet child_ctx = get_each_context$7(ctx, each_value, i);\n\t\tlet key = get_key(child_ctx);\n\t\teach_1_lookup.set(key, each_blocks[i] = create_each_block$7(key, child_ctx));\n\t}\n\n\treturn {\n\t\tc() {\n\t\t\tfieldset = element(\"fieldset\");\n\t\t\tif (if_block) if_block.c();\n\t\t\tt = space();\n\t\t\tul = element(\"ul\");\n\n\t\t\tfor (let i = 0; i < each_blocks.length; i += 1) {\n\t\t\t\teach_blocks[i].c();\n\t\t\t}\n\n\t\t\tattr(ul, \"class\", \"PinturaRadioGroupOptions\");\n\t\t\tattr(fieldset, \"class\", fieldset_class_value = arrayJoin(['PinturaRadioGroup', /*klass*/ ctx[3]]));\n\t\t\tattr(fieldset, \"data-layout\", /*layout*/ ctx[5]);\n\t\t\tattr(fieldset, \"title\", /*title*/ ctx[7]);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, fieldset, anchor);\n\t\t\tif (if_block) if_block.m(fieldset, null);\n\t\t\tappend(fieldset, t);\n\t\t\tappend(fieldset, ul);\n\n\t\t\tfor (let i = 0; i < each_blocks.length; i += 1) {\n\t\t\t\teach_blocks[i].m(ul, null);\n\t\t\t}\n\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tif (/*label*/ ctx[1]) {\n\t\t\t\tif (if_block) {\n\t\t\t\t\tif_block.p(ctx, dirty);\n\t\t\t\t} else {\n\t\t\t\t\tif_block = create_if_block_7$1(ctx);\n\t\t\t\t\tif_block.c();\n\t\t\t\t\tif_block.m(fieldset, t);\n\t\t\t\t}\n\t\t\t} else if (if_block) {\n\t\t\t\tif_block.d(1);\n\t\t\t\tif_block = null;\n\t\t\t}\n\n\t\t\tif (dirty[0] & /*optionGroupClass, mappedOptions, name, optionClass, getOptionIndex, selectedIndex, handleRadioKeydown, handleRadioClick, optionLabelClass, $$scope*/ 8419153) {\n\t\t\t\teach_value = /*mappedOptions*/ ctx[10];\n\t\t\t\tgroup_outros();\n\t\t\t\teach_blocks = update_keyed_each(each_blocks, dirty, get_key, 1, ctx, each_value, each_1_lookup, ul, outro_and_destroy_block, create_each_block$7, null, get_each_context$7);\n\t\t\t\tcheck_outros();\n\t\t\t}\n\n\t\t\tif (!current || dirty[0] & /*klass*/ 8 && fieldset_class_value !== (fieldset_class_value = arrayJoin(['PinturaRadioGroup', /*klass*/ ctx[3]]))) {\n\t\t\t\tattr(fieldset, \"class\", fieldset_class_value);\n\t\t\t}\n\n\t\t\tif (!current || dirty[0] & /*layout*/ 32) {\n\t\t\t\tattr(fieldset, \"data-layout\", /*layout*/ ctx[5]);\n\t\t\t}\n\n\t\t\tif (!current || dirty[0] & /*title*/ 128) {\n\t\t\t\tattr(fieldset, \"title\", /*title*/ ctx[7]);\n\t\t\t}\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\n\t\t\tfor (let i = 0; i < each_value.length; i += 1) {\n\t\t\t\ttransition_in(each_blocks[i]);\n\t\t\t}\n\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\tfor (let i = 0; i < each_blocks.length; i += 1) {\n\t\t\t\ttransition_out(each_blocks[i]);\n\t\t\t}\n\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(fieldset);\n\t\t\tif (if_block) if_block.d();\n\n\t\t\tfor (let i = 0; i < each_blocks.length; i += 1) {\n\t\t\t\teach_blocks[i].d();\n\t\t\t}\n\t\t}\n\t};\n}\n\n// (80:8) {#if label}\nfunction create_if_block_7$1(ctx) {\n\tlet legend;\n\tlet t;\n\tlet legend_class_value;\n\n\treturn {\n\t\tc() {\n\t\t\tlegend = element(\"legend\");\n\t\t\tt = text(/*label*/ ctx[1]);\n\t\t\tattr(legend, \"class\", legend_class_value = /*hideLabel*/ ctx[2] && 'implicit');\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, legend, anchor);\n\t\t\tappend(legend, t);\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tif (dirty[0] & /*label*/ 2) set_data(t, /*label*/ ctx[1]);\n\n\t\t\tif (dirty[0] & /*hideLabel*/ 4 && legend_class_value !== (legend_class_value = /*hideLabel*/ ctx[2] && 'implicit')) {\n\t\t\t\tattr(legend, \"class\", legend_class_value);\n\t\t\t}\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(legend);\n\t\t}\n\t};\n}\n\n// (116:16) {:else}\nfunction create_else_block$4(ctx) {\n\tlet radioitem;\n\tlet current;\n\n\tradioitem = new RadioItem({\n\t\t\tprops: {\n\t\t\t\tname: /*name*/ ctx[4],\n\t\t\t\tlabel: /*option*/ ctx[27].label,\n\t\t\t\tid: /*option*/ ctx[27].id,\n\t\t\t\tvalue: /*option*/ ctx[27].value,\n\t\t\t\tdisabled: /*option*/ ctx[27].disabled,\n\t\t\t\thidden: /*option*/ ctx[27].hidden,\n\t\t\t\tclass: /*optionClass*/ ctx[8],\n\t\t\t\tchecked: /*getOptionIndex*/ ctx[12](/*option*/ ctx[27]) === /*selectedIndex*/ ctx[0],\n\t\t\t\tonkeydown: /*handleRadioKeydown*/ ctx[13](/*option*/ ctx[27]),\n\t\t\t\tonclick: /*handleRadioClick*/ ctx[14](/*option*/ ctx[27]),\n\t\t\t\t$$slots: { default: [create_default_slot_2$4] },\n\t\t\t\t$$scope: { ctx }\n\t\t\t}\n\t\t});\n\n\treturn {\n\t\tc() {\n\t\t\tcreate_component(radioitem.$$.fragment);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tmount_component(radioitem, target, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tconst radioitem_changes = {};\n\t\t\tif (dirty[0] & /*name*/ 16) radioitem_changes.name = /*name*/ ctx[4];\n\t\t\tif (dirty[0] & /*mappedOptions*/ 1024) radioitem_changes.label = /*option*/ ctx[27].label;\n\t\t\tif (dirty[0] & /*mappedOptions*/ 1024) radioitem_changes.id = /*option*/ ctx[27].id;\n\t\t\tif (dirty[0] & /*mappedOptions*/ 1024) radioitem_changes.value = /*option*/ ctx[27].value;\n\t\t\tif (dirty[0] & /*mappedOptions*/ 1024) radioitem_changes.disabled = /*option*/ ctx[27].disabled;\n\t\t\tif (dirty[0] & /*mappedOptions*/ 1024) radioitem_changes.hidden = /*option*/ ctx[27].hidden;\n\t\t\tif (dirty[0] & /*optionClass*/ 256) radioitem_changes.class = /*optionClass*/ ctx[8];\n\t\t\tif (dirty[0] & /*mappedOptions, selectedIndex*/ 1025) radioitem_changes.checked = /*getOptionIndex*/ ctx[12](/*option*/ ctx[27]) === /*selectedIndex*/ ctx[0];\n\t\t\tif (dirty[0] & /*mappedOptions*/ 1024) radioitem_changes.onkeydown = /*handleRadioKeydown*/ ctx[13](/*option*/ ctx[27]);\n\t\t\tif (dirty[0] & /*mappedOptions*/ 1024) radioitem_changes.onclick = /*handleRadioClick*/ ctx[14](/*option*/ ctx[27]);\n\n\t\t\tif (dirty[0] & /*$$scope, optionLabelClass, mappedOptions*/ 8389696) {\n\t\t\t\tradioitem_changes.$$scope = { dirty, ctx };\n\t\t\t}\n\n\t\t\tradioitem.$set(radioitem_changes);\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(radioitem.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(radioitem.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tdestroy_component(radioitem, detaching);\n\t\t}\n\t};\n}\n\n// (85:16) {#if option.options}\nfunction create_if_block_2$9(ctx) {\n\tlet li;\n\tlet t0;\n\tlet ul;\n\tlet each_blocks = [];\n\tlet each_1_lookup = new Map();\n\tlet t1;\n\tlet li_class_value;\n\tlet current;\n\tconst group_slot_template = /*#slots*/ ctx[22].group;\n\tconst group_slot = create_slot(group_slot_template, ctx, /*$$scope*/ ctx[23], get_group_slot_context);\n\tconst group_slot_or_fallback = group_slot || fallback_block_1(ctx);\n\tlet each_value_1 = /*option*/ ctx[27].options;\n\tconst get_key = ctx => /*option*/ ctx[27].id;\n\n\tfor (let i = 0; i < each_value_1.length; i += 1) {\n\t\tlet child_ctx = get_each_context_1(ctx, each_value_1, i);\n\t\tlet key = get_key(child_ctx);\n\t\teach_1_lookup.set(key, each_blocks[i] = create_each_block_1(key, child_ctx));\n\t}\n\n\treturn {\n\t\tc() {\n\t\t\tli = element(\"li\");\n\t\t\tif (group_slot_or_fallback) group_slot_or_fallback.c();\n\t\t\tt0 = space();\n\t\t\tul = element(\"ul\");\n\n\t\t\tfor (let i = 0; i < each_blocks.length; i += 1) {\n\t\t\t\teach_blocks[i].c();\n\t\t\t}\n\n\t\t\tt1 = space();\n\t\t\tattr(ul, \"class\", \"PinturaRadioGroupOptions\");\n\t\t\tattr(li, \"class\", li_class_value = arrayJoin(['PinturaRadioGroupOptionGroup', /*optionGroupClass*/ ctx[9]]));\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, li, anchor);\n\n\t\t\tif (group_slot_or_fallback) {\n\t\t\t\tgroup_slot_or_fallback.m(li, null);\n\t\t\t}\n\n\t\t\tappend(li, t0);\n\t\t\tappend(li, ul);\n\n\t\t\tfor (let i = 0; i < each_blocks.length; i += 1) {\n\t\t\t\teach_blocks[i].m(ul, null);\n\t\t\t}\n\n\t\t\tappend(li, t1);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tif (group_slot) {\n\t\t\t\tif (group_slot.p && (!current || dirty[0] & /*$$scope, mappedOptions*/ 8389632)) {\n\t\t\t\t\tupdate_slot_base(\n\t\t\t\t\t\tgroup_slot,\n\t\t\t\t\t\tgroup_slot_template,\n\t\t\t\t\t\tctx,\n\t\t\t\t\t\t/*$$scope*/ ctx[23],\n\t\t\t\t\t\t!current\n\t\t\t\t\t\t? get_all_dirty_from_scope(/*$$scope*/ ctx[23])\n\t\t\t\t\t\t: get_slot_changes(group_slot_template, /*$$scope*/ ctx[23], dirty, get_group_slot_changes),\n\t\t\t\t\t\tget_group_slot_context\n\t\t\t\t\t);\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\tif (group_slot_or_fallback && group_slot_or_fallback.p && (!current || dirty[0] & /*mappedOptions*/ 1024)) {\n\t\t\t\t\tgroup_slot_or_fallback.p(ctx, !current ? [-1, -1] : dirty);\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tif (dirty[0] & /*name, mappedOptions, optionClass, getOptionIndex, selectedIndex, handleRadioKeydown, handleRadioClick, optionLabelClass, $$scope*/ 8418641) {\n\t\t\t\teach_value_1 = /*option*/ ctx[27].options;\n\t\t\t\tgroup_outros();\n\t\t\t\teach_blocks = update_keyed_each(each_blocks, dirty, get_key, 1, ctx, each_value_1, each_1_lookup, ul, outro_and_destroy_block, create_each_block_1, null, get_each_context_1);\n\t\t\t\tcheck_outros();\n\t\t\t}\n\n\t\t\tif (!current || dirty[0] & /*optionGroupClass*/ 512 && li_class_value !== (li_class_value = arrayJoin(['PinturaRadioGroupOptionGroup', /*optionGroupClass*/ ctx[9]]))) {\n\t\t\t\tattr(li, \"class\", li_class_value);\n\t\t\t}\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(group_slot_or_fallback, local);\n\n\t\t\tfor (let i = 0; i < each_value_1.length; i += 1) {\n\t\t\t\ttransition_in(each_blocks[i]);\n\t\t\t}\n\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(group_slot_or_fallback, local);\n\n\t\t\tfor (let i = 0; i < each_blocks.length; i += 1) {\n\t\t\t\ttransition_out(each_blocks[i]);\n\t\t\t}\n\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(li);\n\t\t\tif (group_slot_or_fallback) group_slot_or_fallback.d(detaching);\n\n\t\t\tfor (let i = 0; i < each_blocks.length; i += 1) {\n\t\t\t\teach_blocks[i].d();\n\t\t\t}\n\t\t}\n\t};\n}\n\n// (129:28) {#if option.icon}\nfunction create_if_block_6$2(ctx) {\n\tlet icon;\n\tlet current;\n\n\ticon = new Icon({\n\t\t\tprops: {\n\t\t\t\t$$slots: { default: [create_default_slot_3$2] },\n\t\t\t\t$$scope: { ctx }\n\t\t\t}\n\t\t});\n\n\treturn {\n\t\tc() {\n\t\t\tcreate_component(icon.$$.fragment);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tmount_component(icon, target, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tconst icon_changes = {};\n\n\t\t\tif (dirty[0] & /*$$scope, mappedOptions*/ 8389632) {\n\t\t\t\ticon_changes.$$scope = { dirty, ctx };\n\t\t\t}\n\n\t\t\ticon.$set(icon_changes);\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(icon.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(icon.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tdestroy_component(icon, detaching);\n\t\t}\n\t};\n}\n\n// (130:32) <Icon>\nfunction create_default_slot_3$2(ctx) {\n\tlet g;\n\tlet raw_value = /*option*/ ctx[27].icon + \"\";\n\n\treturn {\n\t\tc() {\n\t\t\tg = svg_element(\"g\");\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, g, anchor);\n\t\t\tg.innerHTML = raw_value;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tif (dirty[0] & /*mappedOptions*/ 1024 && raw_value !== (raw_value = /*option*/ ctx[27].icon + \"\")) g.innerHTML = raw_value;\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(g);\n\t\t}\n\t};\n}\n\n// (132:28) {#if !option.hideLabel}\nfunction create_if_block_5$4(ctx) {\n\tlet span;\n\tlet t_value = /*option*/ ctx[27].label + \"\";\n\tlet t;\n\n\treturn {\n\t\tc() {\n\t\t\tspan = element(\"span\");\n\t\t\tt = text(t_value);\n\t\t\tattr(span, \"class\", /*optionLabelClass*/ ctx[6]);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, span, anchor);\n\t\t\tappend(span, t);\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tif (dirty[0] & /*mappedOptions*/ 1024 && t_value !== (t_value = /*option*/ ctx[27].label + \"\")) set_data(t, t_value);\n\n\t\t\tif (dirty[0] & /*optionLabelClass*/ 64) {\n\t\t\t\tattr(span, \"class\", /*optionLabelClass*/ ctx[6]);\n\t\t\t}\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(span);\n\t\t}\n\t};\n}\n\n// (128:54)                              \nfunction fallback_block_2(ctx) {\n\tlet t0;\n\tlet t1;\n\tlet current;\n\tlet if_block0 = /*option*/ ctx[27].icon && create_if_block_6$2(ctx);\n\tlet if_block1 = !/*option*/ ctx[27].hideLabel && create_if_block_5$4(ctx);\n\n\treturn {\n\t\tc() {\n\t\t\tif (if_block0) if_block0.c();\n\t\t\tt0 = space();\n\t\t\tif (if_block1) if_block1.c();\n\t\t\tt1 = space();\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tif (if_block0) if_block0.m(target, anchor);\n\t\t\tinsert(target, t0, anchor);\n\t\t\tif (if_block1) if_block1.m(target, anchor);\n\t\t\tinsert(target, t1, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tif (/*option*/ ctx[27].icon) {\n\t\t\t\tif (if_block0) {\n\t\t\t\t\tif_block0.p(ctx, dirty);\n\n\t\t\t\t\tif (dirty[0] & /*mappedOptions*/ 1024) {\n\t\t\t\t\t\ttransition_in(if_block0, 1);\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tif_block0 = create_if_block_6$2(ctx);\n\t\t\t\t\tif_block0.c();\n\t\t\t\t\ttransition_in(if_block0, 1);\n\t\t\t\t\tif_block0.m(t0.parentNode, t0);\n\t\t\t\t}\n\t\t\t} else if (if_block0) {\n\t\t\t\tgroup_outros();\n\n\t\t\t\ttransition_out(if_block0, 1, 1, () => {\n\t\t\t\t\tif_block0 = null;\n\t\t\t\t});\n\n\t\t\t\tcheck_outros();\n\t\t\t}\n\n\t\t\tif (!/*option*/ ctx[27].hideLabel) {\n\t\t\t\tif (if_block1) {\n\t\t\t\t\tif_block1.p(ctx, dirty);\n\t\t\t\t} else {\n\t\t\t\t\tif_block1 = create_if_block_5$4(ctx);\n\t\t\t\t\tif_block1.c();\n\t\t\t\t\tif_block1.m(t1.parentNode, t1);\n\t\t\t\t}\n\t\t\t} else if (if_block1) {\n\t\t\t\tif_block1.d(1);\n\t\t\t\tif_block1 = null;\n\t\t\t}\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(if_block0);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(if_block0);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (if_block0) if_block0.d(detaching);\n\t\t\tif (detaching) detach(t0);\n\t\t\tif (if_block1) if_block1.d(detaching);\n\t\t\tif (detaching) detach(t1);\n\t\t}\n\t};\n}\n\n// (117:20) <RadioItem                         {name}                         label={option.label}                         id={option.id}                         value={option.value}                         disabled={option.disabled}                         hidden={option.hidden}                         class={optionClass}                         checked={getOptionIndex(option) === selectedIndex}                         onkeydown={handleRadioKeydown(option)}                         onclick={handleRadioClick(option)}                         >\nfunction create_default_slot_2$4(ctx) {\n\tlet current;\n\tconst option_slot_template = /*#slots*/ ctx[22].option;\n\tconst option_slot = create_slot(option_slot_template, ctx, /*$$scope*/ ctx[23], get_option_slot_context_1);\n\tconst option_slot_or_fallback = option_slot || fallback_block_2(ctx);\n\n\treturn {\n\t\tc() {\n\t\t\tif (option_slot_or_fallback) option_slot_or_fallback.c();\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tif (option_slot_or_fallback) {\n\t\t\t\toption_slot_or_fallback.m(target, anchor);\n\t\t\t}\n\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tif (option_slot) {\n\t\t\t\tif (option_slot.p && (!current || dirty[0] & /*$$scope, mappedOptions*/ 8389632)) {\n\t\t\t\t\tupdate_slot_base(\n\t\t\t\t\t\toption_slot,\n\t\t\t\t\t\toption_slot_template,\n\t\t\t\t\t\tctx,\n\t\t\t\t\t\t/*$$scope*/ ctx[23],\n\t\t\t\t\t\t!current\n\t\t\t\t\t\t? get_all_dirty_from_scope(/*$$scope*/ ctx[23])\n\t\t\t\t\t\t: get_slot_changes(option_slot_template, /*$$scope*/ ctx[23], dirty, get_option_slot_changes_1),\n\t\t\t\t\t\tget_option_slot_context_1\n\t\t\t\t\t);\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\tif (option_slot_or_fallback && option_slot_or_fallback.p && (!current || dirty[0] & /*optionLabelClass, mappedOptions*/ 1088)) {\n\t\t\t\t\toption_slot_or_fallback.p(ctx, !current ? [-1, -1] : dirty);\n\t\t\t\t}\n\t\t\t}\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(option_slot_or_fallback, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(option_slot_or_fallback, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (option_slot_or_fallback) option_slot_or_fallback.d(detaching);\n\t\t}\n\t};\n}\n\n// (88:29) <span class=\"PinturaRadioGroupOptionGroupLabel\">\nfunction fallback_block_1(ctx) {\n\tlet span;\n\tlet t_value = /*option*/ ctx[27].label + \"\";\n\tlet t;\n\n\treturn {\n\t\tc() {\n\t\t\tspan = element(\"span\");\n\t\t\tt = text(t_value);\n\t\t\tattr(span, \"class\", \"PinturaRadioGroupOptionGroupLabel\");\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, span, anchor);\n\t\t\tappend(span, t);\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tif (dirty[0] & /*mappedOptions*/ 1024 && t_value !== (t_value = /*option*/ ctx[27].label + \"\")) set_data(t, t_value);\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(span);\n\t\t}\n\t};\n}\n\n// (105:40) {#if option.icon}\nfunction create_if_block_4$6(ctx) {\n\tlet icon;\n\tlet current;\n\n\ticon = new Icon({\n\t\t\tprops: {\n\t\t\t\t$$slots: { default: [create_default_slot_1$7] },\n\t\t\t\t$$scope: { ctx }\n\t\t\t}\n\t\t});\n\n\treturn {\n\t\tc() {\n\t\t\tcreate_component(icon.$$.fragment);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tmount_component(icon, target, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tconst icon_changes = {};\n\n\t\t\tif (dirty[0] & /*$$scope, mappedOptions*/ 8389632) {\n\t\t\t\ticon_changes.$$scope = { dirty, ctx };\n\t\t\t}\n\n\t\t\ticon.$set(icon_changes);\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(icon.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(icon.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tdestroy_component(icon, detaching);\n\t\t}\n\t};\n}\n\n// (106:44) <Icon>\nfunction create_default_slot_1$7(ctx) {\n\tlet g;\n\tlet raw_value = /*option*/ ctx[27].icon + \"\";\n\n\treturn {\n\t\tc() {\n\t\t\tg = svg_element(\"g\");\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, g, anchor);\n\t\t\tg.innerHTML = raw_value;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tif (dirty[0] & /*mappedOptions*/ 1024 && raw_value !== (raw_value = /*option*/ ctx[27].icon + \"\")) g.innerHTML = raw_value;\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(g);\n\t\t}\n\t};\n}\n\n// (108:40) {#if !option.hideLabel}\nfunction create_if_block_3$7(ctx) {\n\tlet span;\n\tlet t_value = /*option*/ ctx[27].label + \"\";\n\tlet t;\n\n\treturn {\n\t\tc() {\n\t\t\tspan = element(\"span\");\n\t\t\tt = text(t_value);\n\t\t\tattr(span, \"class\", /*optionLabelClass*/ ctx[6]);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, span, anchor);\n\t\t\tappend(span, t);\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tif (dirty[0] & /*mappedOptions*/ 1024 && t_value !== (t_value = /*option*/ ctx[27].label + \"\")) set_data(t, t_value);\n\n\t\t\tif (dirty[0] & /*optionLabelClass*/ 64) {\n\t\t\t\tattr(span, \"class\", /*optionLabelClass*/ ctx[6]);\n\t\t\t}\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(span);\n\t\t}\n\t};\n}\n\n// (104:66)                                          \nfunction fallback_block$1(ctx) {\n\tlet t0;\n\tlet t1;\n\tlet current;\n\tlet if_block0 = /*option*/ ctx[27].icon && create_if_block_4$6(ctx);\n\tlet if_block1 = !/*option*/ ctx[27].hideLabel && create_if_block_3$7(ctx);\n\n\treturn {\n\t\tc() {\n\t\t\tif (if_block0) if_block0.c();\n\t\t\tt0 = space();\n\t\t\tif (if_block1) if_block1.c();\n\t\t\tt1 = space();\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tif (if_block0) if_block0.m(target, anchor);\n\t\t\tinsert(target, t0, anchor);\n\t\t\tif (if_block1) if_block1.m(target, anchor);\n\t\t\tinsert(target, t1, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tif (/*option*/ ctx[27].icon) {\n\t\t\t\tif (if_block0) {\n\t\t\t\t\tif_block0.p(ctx, dirty);\n\n\t\t\t\t\tif (dirty[0] & /*mappedOptions*/ 1024) {\n\t\t\t\t\t\ttransition_in(if_block0, 1);\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tif_block0 = create_if_block_4$6(ctx);\n\t\t\t\t\tif_block0.c();\n\t\t\t\t\ttransition_in(if_block0, 1);\n\t\t\t\t\tif_block0.m(t0.parentNode, t0);\n\t\t\t\t}\n\t\t\t} else if (if_block0) {\n\t\t\t\tgroup_outros();\n\n\t\t\t\ttransition_out(if_block0, 1, 1, () => {\n\t\t\t\t\tif_block0 = null;\n\t\t\t\t});\n\n\t\t\t\tcheck_outros();\n\t\t\t}\n\n\t\t\tif (!/*option*/ ctx[27].hideLabel) {\n\t\t\t\tif (if_block1) {\n\t\t\t\t\tif_block1.p(ctx, dirty);\n\t\t\t\t} else {\n\t\t\t\t\tif_block1 = create_if_block_3$7(ctx);\n\t\t\t\t\tif_block1.c();\n\t\t\t\t\tif_block1.m(t1.parentNode, t1);\n\t\t\t\t}\n\t\t\t} else if (if_block1) {\n\t\t\t\tif_block1.d(1);\n\t\t\t\tif_block1 = null;\n\t\t\t}\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(if_block0);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(if_block0);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (if_block0) if_block0.d(detaching);\n\t\t\tif (detaching) detach(t0);\n\t\t\tif (if_block1) if_block1.d(detaching);\n\t\t\tif (detaching) detach(t1);\n\t\t}\n\t};\n}\n\n// (93:32) <RadioItem                                     {name}                                     label={option.label}                                     id={option.id}                                     value={option.value}                                     disabled={option.disabled}                                     hidden={option.hidden}                                     class={optionClass}                                     checked={getOptionIndex(option) === selectedIndex}                                     onkeydown={handleRadioKeydown(option)}                                     onclick={handleRadioClick(option)}                                     >\nfunction create_default_slot$g(ctx) {\n\tlet current;\n\tconst option_slot_template = /*#slots*/ ctx[22].option;\n\tconst option_slot = create_slot(option_slot_template, ctx, /*$$scope*/ ctx[23], get_option_slot_context);\n\tconst option_slot_or_fallback = option_slot || fallback_block$1(ctx);\n\n\treturn {\n\t\tc() {\n\t\t\tif (option_slot_or_fallback) option_slot_or_fallback.c();\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tif (option_slot_or_fallback) {\n\t\t\t\toption_slot_or_fallback.m(target, anchor);\n\t\t\t}\n\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tif (option_slot) {\n\t\t\t\tif (option_slot.p && (!current || dirty[0] & /*$$scope, mappedOptions*/ 8389632)) {\n\t\t\t\t\tupdate_slot_base(\n\t\t\t\t\t\toption_slot,\n\t\t\t\t\t\toption_slot_template,\n\t\t\t\t\t\tctx,\n\t\t\t\t\t\t/*$$scope*/ ctx[23],\n\t\t\t\t\t\t!current\n\t\t\t\t\t\t? get_all_dirty_from_scope(/*$$scope*/ ctx[23])\n\t\t\t\t\t\t: get_slot_changes(option_slot_template, /*$$scope*/ ctx[23], dirty, get_option_slot_changes),\n\t\t\t\t\t\tget_option_slot_context\n\t\t\t\t\t);\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\tif (option_slot_or_fallback && option_slot_or_fallback.p && (!current || dirty[0] & /*optionLabelClass, mappedOptions*/ 1088)) {\n\t\t\t\t\toption_slot_or_fallback.p(ctx, !current ? [-1, -1] : dirty);\n\t\t\t\t}\n\t\t\t}\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(option_slot_or_fallback, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(option_slot_or_fallback, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (option_slot_or_fallback) option_slot_or_fallback.d(detaching);\n\t\t}\n\t};\n}\n\n// (92:28) {#each option.options as option (option.id)}\nfunction create_each_block_1(key_1, ctx) {\n\tlet first;\n\tlet radioitem;\n\tlet current;\n\n\tradioitem = new RadioItem({\n\t\t\tprops: {\n\t\t\t\tname: /*name*/ ctx[4],\n\t\t\t\tlabel: /*option*/ ctx[27].label,\n\t\t\t\tid: /*option*/ ctx[27].id,\n\t\t\t\tvalue: /*option*/ ctx[27].value,\n\t\t\t\tdisabled: /*option*/ ctx[27].disabled,\n\t\t\t\thidden: /*option*/ ctx[27].hidden,\n\t\t\t\tclass: /*optionClass*/ ctx[8],\n\t\t\t\tchecked: /*getOptionIndex*/ ctx[12](/*option*/ ctx[27]) === /*selectedIndex*/ ctx[0],\n\t\t\t\tonkeydown: /*handleRadioKeydown*/ ctx[13](/*option*/ ctx[27]),\n\t\t\t\tonclick: /*handleRadioClick*/ ctx[14](/*option*/ ctx[27]),\n\t\t\t\t$$slots: { default: [create_default_slot$g] },\n\t\t\t\t$$scope: { ctx }\n\t\t\t}\n\t\t});\n\n\treturn {\n\t\tkey: key_1,\n\t\tfirst: null,\n\t\tc() {\n\t\t\tfirst = empty();\n\t\t\tcreate_component(radioitem.$$.fragment);\n\t\t\tthis.first = first;\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, first, anchor);\n\t\t\tmount_component(radioitem, target, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(new_ctx, dirty) {\n\t\t\tctx = new_ctx;\n\t\t\tconst radioitem_changes = {};\n\t\t\tif (dirty[0] & /*name*/ 16) radioitem_changes.name = /*name*/ ctx[4];\n\t\t\tif (dirty[0] & /*mappedOptions*/ 1024) radioitem_changes.label = /*option*/ ctx[27].label;\n\t\t\tif (dirty[0] & /*mappedOptions*/ 1024) radioitem_changes.id = /*option*/ ctx[27].id;\n\t\t\tif (dirty[0] & /*mappedOptions*/ 1024) radioitem_changes.value = /*option*/ ctx[27].value;\n\t\t\tif (dirty[0] & /*mappedOptions*/ 1024) radioitem_changes.disabled = /*option*/ ctx[27].disabled;\n\t\t\tif (dirty[0] & /*mappedOptions*/ 1024) radioitem_changes.hidden = /*option*/ ctx[27].hidden;\n\t\t\tif (dirty[0] & /*optionClass*/ 256) radioitem_changes.class = /*optionClass*/ ctx[8];\n\t\t\tif (dirty[0] & /*mappedOptions, selectedIndex*/ 1025) radioitem_changes.checked = /*getOptionIndex*/ ctx[12](/*option*/ ctx[27]) === /*selectedIndex*/ ctx[0];\n\t\t\tif (dirty[0] & /*mappedOptions*/ 1024) radioitem_changes.onkeydown = /*handleRadioKeydown*/ ctx[13](/*option*/ ctx[27]);\n\t\t\tif (dirty[0] & /*mappedOptions*/ 1024) radioitem_changes.onclick = /*handleRadioClick*/ ctx[14](/*option*/ ctx[27]);\n\n\t\t\tif (dirty[0] & /*$$scope, optionLabelClass, mappedOptions*/ 8389696) {\n\t\t\t\tradioitem_changes.$$scope = { dirty, ctx };\n\t\t\t}\n\n\t\t\tradioitem.$set(radioitem_changes);\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(radioitem.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(radioitem.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(first);\n\t\t\tdestroy_component(radioitem, detaching);\n\t\t}\n\t};\n}\n\n// (84:12) {#each mappedOptions as option (option.id)}\nfunction create_each_block$7(key_1, ctx) {\n\tlet first;\n\tlet current_block_type_index;\n\tlet if_block;\n\tlet if_block_anchor;\n\tlet current;\n\tconst if_block_creators = [create_if_block_2$9, create_else_block$4];\n\tconst if_blocks = [];\n\n\tfunction select_block_type(ctx, dirty) {\n\t\tif (/*option*/ ctx[27].options) return 0;\n\t\treturn 1;\n\t}\n\n\tcurrent_block_type_index = select_block_type(ctx);\n\tif_block = if_blocks[current_block_type_index] = if_block_creators[current_block_type_index](ctx);\n\n\treturn {\n\t\tkey: key_1,\n\t\tfirst: null,\n\t\tc() {\n\t\t\tfirst = empty();\n\t\t\tif_block.c();\n\t\t\tif_block_anchor = empty();\n\t\t\tthis.first = first;\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, first, anchor);\n\t\t\tif_blocks[current_block_type_index].m(target, anchor);\n\t\t\tinsert(target, if_block_anchor, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(new_ctx, dirty) {\n\t\t\tctx = new_ctx;\n\t\t\tlet previous_block_index = current_block_type_index;\n\t\t\tcurrent_block_type_index = select_block_type(ctx);\n\n\t\t\tif (current_block_type_index === previous_block_index) {\n\t\t\t\tif_blocks[current_block_type_index].p(ctx, dirty);\n\t\t\t} else {\n\t\t\t\tgroup_outros();\n\n\t\t\t\ttransition_out(if_blocks[previous_block_index], 1, 1, () => {\n\t\t\t\t\tif_blocks[previous_block_index] = null;\n\t\t\t\t});\n\n\t\t\t\tcheck_outros();\n\t\t\t\tif_block = if_blocks[current_block_type_index];\n\n\t\t\t\tif (!if_block) {\n\t\t\t\t\tif_block = if_blocks[current_block_type_index] = if_block_creators[current_block_type_index](ctx);\n\t\t\t\t\tif_block.c();\n\t\t\t\t} else {\n\t\t\t\t\tif_block.p(ctx, dirty);\n\t\t\t\t}\n\n\t\t\t\ttransition_in(if_block, 1);\n\t\t\t\tif_block.m(if_block_anchor.parentNode, if_block_anchor);\n\t\t\t}\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(if_block);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(if_block);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(first);\n\t\t\tif_blocks[current_block_type_index].d(detaching);\n\t\t\tif (detaching) detach(if_block_anchor);\n\t\t}\n\t};\n}\n\nfunction create_fragment$D(ctx) {\n\tlet t;\n\tlet if_block1_anchor;\n\tlet current;\n\tlet if_block0 = /*localizedOptions*/ ctx[11].length && create_if_block_1$a(ctx);\n\tlet if_block1 = false ;\n\n\treturn {\n\t\tc() {\n\t\t\tif (if_block0) if_block0.c();\n\t\t\tt = space();\n\t\t\tif_block1_anchor = empty();\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tif (if_block0) if_block0.m(target, anchor);\n\t\t\tinsert(target, t, anchor);\n\t\t\tinsert(target, if_block1_anchor, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tif (/*localizedOptions*/ ctx[11].length) {\n\t\t\t\tif (if_block0) {\n\t\t\t\t\tif_block0.p(ctx, dirty);\n\n\t\t\t\t\tif (dirty[0] & /*localizedOptions*/ 2048) {\n\t\t\t\t\t\ttransition_in(if_block0, 1);\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tif_block0 = create_if_block_1$a(ctx);\n\t\t\t\t\tif_block0.c();\n\t\t\t\t\ttransition_in(if_block0, 1);\n\t\t\t\t\tif_block0.m(t.parentNode, t);\n\t\t\t\t}\n\t\t\t} else if (if_block0) {\n\t\t\t\tgroup_outros();\n\n\t\t\t\ttransition_out(if_block0, 1, 1, () => {\n\t\t\t\t\tif_block0 = null;\n\t\t\t\t});\n\n\t\t\t\tcheck_outros();\n\t\t\t}\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(if_block0);\n\t\t\ttransition_in(if_block1);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(if_block0);\n\t\t\ttransition_out(if_block1);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (if_block0) if_block0.d(detaching);\n\t\t\tif (detaching) detach(t);\n\t\t\tif (detaching) detach(if_block1_anchor);\n\t\t}\n\t};\n}\n\nfunction instance$E($$self, $$props, $$invalidate) {\n\tlet localizedOptions;\n\tlet mappedOptions;\n\tlet flattenedOptions;\n\tlet { $$slots: slots = {}, $$scope } = $$props;\n\tconst dispatch = createEventDispatcher();\n\tlet { label = undefined } = $$props;\n\tlet { hideLabel = true } = $$props;\n\tlet { class: klass = undefined } = $$props;\n\tlet { name = `radio-group-${getUniqueId()}` } = $$props;\n\tlet { selectedIndex = -1 } = $$props;\n\tlet { options = [] } = $$props;\n\tlet { onchange = undefined } = $$props;\n\tlet { layout = undefined } = $$props;\n\tlet { optionMapper = undefined } = $$props;\n\tlet { optionFilter = undefined } = $$props;\n\tlet { value = undefined } = $$props;\n\tlet { optionLabelClass = undefined } = $$props;\n\tlet { title = undefined } = $$props;\n\tlet { locale = undefined } = $$props;\n\tlet { optionClass = undefined } = $$props;\n\tlet { optionGroupClass = undefined } = $$props;\n\tconst getUndefinedOptionIndex = options => options.findIndex(option => option[0] === undefined);\n\tconst getOptionIndex = option => flattenedOptions.findIndex(flattenedOption => flattenedOption.id === option.id);\n\n\tconst changeSelection = (option, e) => {\n\t\t$$invalidate(0, selectedIndex = getOptionIndex(option));\n\t\tconst payload = { index: selectedIndex, ...option };\n\t\topop(onchange, payload, e);\n\t\tdispatch('change', payload);\n\t};\n\n\tconst handleRadioKeydown = option => e => {\n\t\t// is confirm key ([enter] or [space])\n\t\tif (!isConfirmKey(e.key)) return;\n\n\t\tchangeSelection(option, e);\n\t};\n\n\tconst handleRadioClick = option => e => {\n\t\tchangeSelection(option, e);\n\t};\n\n\t$$self.$$set = $$props => {\n\t\tif ('label' in $$props) $$invalidate(1, label = $$props.label);\n\t\tif ('hideLabel' in $$props) $$invalidate(2, hideLabel = $$props.hideLabel);\n\t\tif ('class' in $$props) $$invalidate(3, klass = $$props.class);\n\t\tif ('name' in $$props) $$invalidate(4, name = $$props.name);\n\t\tif ('selectedIndex' in $$props) $$invalidate(0, selectedIndex = $$props.selectedIndex);\n\t\tif ('options' in $$props) $$invalidate(15, options = $$props.options);\n\t\tif ('onchange' in $$props) $$invalidate(16, onchange = $$props.onchange);\n\t\tif ('layout' in $$props) $$invalidate(5, layout = $$props.layout);\n\t\tif ('optionMapper' in $$props) $$invalidate(17, optionMapper = $$props.optionMapper);\n\t\tif ('optionFilter' in $$props) $$invalidate(18, optionFilter = $$props.optionFilter);\n\t\tif ('value' in $$props) $$invalidate(19, value = $$props.value);\n\t\tif ('optionLabelClass' in $$props) $$invalidate(6, optionLabelClass = $$props.optionLabelClass);\n\t\tif ('title' in $$props) $$invalidate(7, title = $$props.title);\n\t\tif ('locale' in $$props) $$invalidate(20, locale = $$props.locale);\n\t\tif ('optionClass' in $$props) $$invalidate(8, optionClass = $$props.optionClass);\n\t\tif ('optionGroupClass' in $$props) $$invalidate(9, optionGroupClass = $$props.optionGroupClass);\n\t\tif ('$$scope' in $$props) $$invalidate(23, $$scope = $$props.$$scope);\n\t};\n\n\t$$self.$$.update = () => {\n\t\tif ($$self.$$.dirty[0] & /*optionFilter, options, locale*/ 1343488) {\n\t\t\t$$invalidate(11, localizedOptions = localizeOptions$1(optionFilter ? options.filter(optionFilter) : options, locale));\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*localizedOptions, optionMapper*/ 133120) {\n\t\t\t$$invalidate(10, mappedOptions = mapOptions(localizedOptions, optionMapper));\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*mappedOptions*/ 1024) {\n\t\t\t$$invalidate(21, flattenedOptions = flattenOptions(mappedOptions));\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*selectedIndex, flattenedOptions, value, options*/ 2654209) {\n\t\t\t// can optionally pass value to have radio button group try to auto-select the right option\n\t\t\tif (selectedIndex < 0) {\n\t\t\t\t$$invalidate(0, selectedIndex = flattenedOptions.findIndex(option => isDeepEqual(option.value, value)));\n\n\t\t\t\tif (selectedIndex < 0) {\n\t\t\t\t\t$$invalidate(0, selectedIndex = getUndefinedOptionIndex(options));\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t};\n\n\treturn [\n\t\tselectedIndex,\n\t\tlabel,\n\t\thideLabel,\n\t\tklass,\n\t\tname,\n\t\tlayout,\n\t\toptionLabelClass,\n\t\ttitle,\n\t\toptionClass,\n\t\toptionGroupClass,\n\t\tmappedOptions,\n\t\tlocalizedOptions,\n\t\tgetOptionIndex,\n\t\thandleRadioKeydown,\n\t\thandleRadioClick,\n\t\toptions,\n\t\tonchange,\n\t\toptionMapper,\n\t\toptionFilter,\n\t\tvalue,\n\t\tlocale,\n\t\tflattenedOptions,\n\t\tslots,\n\t\t$$scope\n\t];\n}\n\nclass RadioGroup extends SvelteComponent {\n\tconstructor(options) {\n\t\tsuper();\n\n\t\tinit(\n\t\t\tthis,\n\t\t\toptions,\n\t\t\tinstance$E,\n\t\t\tcreate_fragment$D,\n\t\t\tsafe_not_equal,\n\t\t\t{\n\t\t\t\tlabel: 1,\n\t\t\t\thideLabel: 2,\n\t\t\t\tclass: 3,\n\t\t\t\tname: 4,\n\t\t\t\tselectedIndex: 0,\n\t\t\t\toptions: 15,\n\t\t\t\tonchange: 16,\n\t\t\t\tlayout: 5,\n\t\t\t\toptionMapper: 17,\n\t\t\t\toptionFilter: 18,\n\t\t\t\tvalue: 19,\n\t\t\t\toptionLabelClass: 6,\n\t\t\t\ttitle: 7,\n\t\t\t\tlocale: 20,\n\t\t\t\toptionClass: 8,\n\t\t\t\toptionGroupClass: 9\n\t\t\t},\n\t\t\tnull,\n\t\t\t[-1, -1]\n\t\t);\n\t}\n}\n\n/* src/core/ui/components/Dropdown.svelte generated by Svelte v3.52.0 */\nconst get_controls_slot_changes = dirty => ({});\nconst get_controls_slot_context = ctx => ({});\n\n// (97:8) {#if icon}\nfunction create_if_block_2$8(ctx) {\n\tlet icon_1;\n\tlet current;\n\n\ticon_1 = new Icon({\n\t\t\tprops: {\n\t\t\t\tclass: \"PinturaButtonIcon\",\n\t\t\t\t$$slots: { default: [create_default_slot_1$6] },\n\t\t\t\t$$scope: { ctx }\n\t\t\t}\n\t\t});\n\n\treturn {\n\t\tc() {\n\t\t\tcreate_component(icon_1.$$.fragment);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tmount_component(icon_1, target, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tconst icon_1_changes = {};\n\n\t\t\tif (dirty & /*$$scope, icon*/ 268435520) {\n\t\t\t\ticon_1_changes.$$scope = { dirty, ctx };\n\t\t\t}\n\n\t\t\ticon_1.$set(icon_1_changes);\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(icon_1.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(icon_1.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tdestroy_component(icon_1, detaching);\n\t\t}\n\t};\n}\n\n// (98:12) <Icon class=\"PinturaButtonIcon\">\nfunction create_default_slot_1$6(ctx) {\n\tlet g;\n\n\treturn {\n\t\tc() {\n\t\t\tg = svg_element(\"g\");\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, g, anchor);\n\t\t\tg.innerHTML = /*icon*/ ctx[6];\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tif (dirty & /*icon*/ 64) g.innerHTML = /*icon*/ ctx[6];\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(g);\n\t\t}\n\t};\n}\n\n// (92:4) \nfunction create_label_slot$2(ctx) {\n\tlet span1;\n\tlet t;\n\tlet span0;\n\tlet raw_value = (/*label*/ ctx[2] || /*selectedLabel*/ ctx[18]) + \"\";\n\tlet span0_class_value;\n\tlet span1_title_value;\n\tlet span1_class_value;\n\tlet current;\n\tlet if_block = /*icon*/ ctx[6] && create_if_block_2$8(ctx);\n\n\treturn {\n\t\tc() {\n\t\t\tspan1 = element(\"span\");\n\t\t\tif (if_block) if_block.c();\n\t\t\tt = space();\n\t\t\tspan0 = element(\"span\");\n\n\t\t\tattr(span0, \"class\", span0_class_value = arrayJoin([\n\t\t\t\t'PinturaButtonLabel',\n\t\t\t\t/*labelClass*/ ctx[3],\n\t\t\t\t/*hideLabel*/ ctx[5] && 'implicit'\n\t\t\t]));\n\n\t\t\tattr(span1, \"slot\", \"label\");\n\t\t\tattr(span1, \"title\", span1_title_value = localize(/*title*/ ctx[1], /*locale*/ ctx[15]));\n\t\t\tattr(span1, \"class\", span1_class_value = arrayJoin(['PinturaButtonInner', /*innerClass*/ ctx[4]]));\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, span1, anchor);\n\t\t\tif (if_block) if_block.m(span1, null);\n\t\t\tappend(span1, t);\n\t\t\tappend(span1, span0);\n\t\t\tspan0.innerHTML = raw_value;\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tif (/*icon*/ ctx[6]) {\n\t\t\t\tif (if_block) {\n\t\t\t\t\tif_block.p(ctx, dirty);\n\n\t\t\t\t\tif (dirty & /*icon*/ 64) {\n\t\t\t\t\t\ttransition_in(if_block, 1);\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tif_block = create_if_block_2$8(ctx);\n\t\t\t\t\tif_block.c();\n\t\t\t\t\ttransition_in(if_block, 1);\n\t\t\t\t\tif_block.m(span1, t);\n\t\t\t\t}\n\t\t\t} else if (if_block) {\n\t\t\t\tgroup_outros();\n\n\t\t\t\ttransition_out(if_block, 1, 1, () => {\n\t\t\t\t\tif_block = null;\n\t\t\t\t});\n\n\t\t\t\tcheck_outros();\n\t\t\t}\n\n\t\t\tif ((!current || dirty & /*label, selectedLabel*/ 262148) && raw_value !== (raw_value = (/*label*/ ctx[2] || /*selectedLabel*/ ctx[18]) + \"\")) span0.innerHTML = raw_value;\n\t\t\tif (!current || dirty & /*labelClass, hideLabel*/ 40 && span0_class_value !== (span0_class_value = arrayJoin([\n\t\t\t\t'PinturaButtonLabel',\n\t\t\t\t/*labelClass*/ ctx[3],\n\t\t\t\t/*hideLabel*/ ctx[5] && 'implicit'\n\t\t\t]))) {\n\t\t\t\tattr(span0, \"class\", span0_class_value);\n\t\t\t}\n\n\t\t\tif (!current || dirty & /*title, locale*/ 32770 && span1_title_value !== (span1_title_value = localize(/*title*/ ctx[1], /*locale*/ ctx[15]))) {\n\t\t\t\tattr(span1, \"title\", span1_title_value);\n\t\t\t}\n\n\t\t\tif (!current || dirty & /*innerClass*/ 16 && span1_class_value !== (span1_class_value = arrayJoin(['PinturaButtonInner', /*innerClass*/ ctx[4]]))) {\n\t\t\t\tattr(span1, \"class\", span1_class_value);\n\t\t\t}\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(if_block);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(if_block);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(span1);\n\t\t\tif (if_block) if_block.d();\n\t\t}\n\t};\n}\n\n// (121:12) \nfunction create_group_slot$1(ctx) {\n\tlet span;\n\tlet t_value = /*option*/ ctx[30].label + \"\";\n\tlet t;\n\n\treturn {\n\t\tc() {\n\t\t\tspan = element(\"span\");\n\t\t\tt = text(t_value);\n\t\t\tattr(span, \"slot\", \"group\");\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, span, anchor);\n\t\t\tappend(span, t);\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tif (dirty & /*option*/ 1073741824 && t_value !== (t_value = /*option*/ ctx[30].label + \"\")) set_data(t, t_value);\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(span);\n\t\t}\n\t};\n}\n\n// (123:16) {#if option.icon}\nfunction create_if_block_1$9(ctx) {\n\tlet icon_1;\n\tlet current;\n\n\ticon_1 = new Icon({\n\t\t\tprops: {\n\t\t\t\tstyle: isFunction(/*optionIconStyle*/ ctx[13])\n\t\t\t\t? /*optionIconStyle*/ ctx[13](/*option*/ ctx[30].value)\n\t\t\t\t: /*optionIconStyle*/ ctx[13],\n\t\t\t\t$$slots: { default: [create_default_slot$f] },\n\t\t\t\t$$scope: { ctx }\n\t\t\t}\n\t\t});\n\n\treturn {\n\t\tc() {\n\t\t\tcreate_component(icon_1.$$.fragment);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tmount_component(icon_1, target, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tconst icon_1_changes = {};\n\n\t\t\tif (dirty & /*optionIconStyle, option*/ 1073750016) icon_1_changes.style = isFunction(/*optionIconStyle*/ ctx[13])\n\t\t\t? /*optionIconStyle*/ ctx[13](/*option*/ ctx[30].value)\n\t\t\t: /*optionIconStyle*/ ctx[13];\n\n\t\t\tif (dirty & /*$$scope, option*/ 1342177280) {\n\t\t\t\ticon_1_changes.$$scope = { dirty, ctx };\n\t\t\t}\n\n\t\t\ticon_1.$set(icon_1_changes);\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(icon_1.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(icon_1.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tdestroy_component(icon_1, detaching);\n\t\t}\n\t};\n}\n\n// (124:20) <Icon                         style={isFunction(optionIconStyle)                             ? optionIconStyle(option.value)                             : optionIconStyle}>\nfunction create_default_slot$f(ctx) {\n\tlet g;\n\tlet raw_value = /*option*/ ctx[30].icon + \"\";\n\n\treturn {\n\t\tc() {\n\t\t\tg = svg_element(\"g\");\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, g, anchor);\n\t\t\tg.innerHTML = raw_value;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tif (dirty & /*option*/ 1073741824 && raw_value !== (raw_value = /*option*/ ctx[30].icon + \"\")) g.innerHTML = raw_value;\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(g);\n\t\t}\n\t};\n}\n\n// (137:20) {#if option.sublabel}\nfunction create_if_block$c(ctx) {\n\tlet span;\n\tlet raw_value = /*option*/ ctx[30].sublabel + \"\";\n\n\treturn {\n\t\tc() {\n\t\t\tspan = element(\"span\");\n\t\t\tattr(span, \"class\", \"PinturaDropdownOptionSublabel\");\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, span, anchor);\n\t\t\tspan.innerHTML = raw_value;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tif (dirty & /*option*/ 1073741824 && raw_value !== (raw_value = /*option*/ ctx[30].sublabel + \"\")) span.innerHTML = raw_value;\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(span);\n\t\t}\n\t};\n}\n\n// (122:12) \nfunction create_option_slot$5(ctx) {\n\tlet span1;\n\tlet t0;\n\tlet span0;\n\tlet html_tag;\n\tlet raw_value = /*option*/ ctx[30].label + \"\";\n\tlet t1;\n\tlet span0_style_value;\n\tlet span0_class_value;\n\tlet current;\n\tlet if_block0 = /*option*/ ctx[30].icon && create_if_block_1$9(ctx);\n\tlet if_block1 = /*option*/ ctx[30].sublabel && create_if_block$c(ctx);\n\n\treturn {\n\t\tc() {\n\t\t\tspan1 = element(\"span\");\n\t\t\tif (if_block0) if_block0.c();\n\t\t\tt0 = space();\n\t\t\tspan0 = element(\"span\");\n\t\t\thtml_tag = new HtmlTag(false);\n\t\t\tt1 = space();\n\t\t\tif (if_block1) if_block1.c();\n\t\t\thtml_tag.a = t1;\n\n\t\t\tattr(span0, \"style\", span0_style_value = isFunction(/*optionLabelStyle*/ ctx[14])\n\t\t\t? /*optionLabelStyle*/ ctx[14](/*option*/ ctx[30].value)\n\t\t\t: /*optionLabelStyle*/ ctx[14]);\n\n\t\t\tattr(span0, \"class\", span0_class_value = arrayJoin(['PinturaDropdownOptionLabel', /*optionLabelClass*/ ctx[10]]));\n\t\t\tattr(span1, \"slot\", \"option\");\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, span1, anchor);\n\t\t\tif (if_block0) if_block0.m(span1, null);\n\t\t\tappend(span1, t0);\n\t\t\tappend(span1, span0);\n\t\t\thtml_tag.m(raw_value, span0);\n\t\t\tappend(span0, t1);\n\t\t\tif (if_block1) if_block1.m(span0, null);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tif (/*option*/ ctx[30].icon) {\n\t\t\t\tif (if_block0) {\n\t\t\t\t\tif_block0.p(ctx, dirty);\n\n\t\t\t\t\tif (dirty & /*option*/ 1073741824) {\n\t\t\t\t\t\ttransition_in(if_block0, 1);\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tif_block0 = create_if_block_1$9(ctx);\n\t\t\t\t\tif_block0.c();\n\t\t\t\t\ttransition_in(if_block0, 1);\n\t\t\t\t\tif_block0.m(span1, t0);\n\t\t\t\t}\n\t\t\t} else if (if_block0) {\n\t\t\t\tgroup_outros();\n\n\t\t\t\ttransition_out(if_block0, 1, 1, () => {\n\t\t\t\t\tif_block0 = null;\n\t\t\t\t});\n\n\t\t\t\tcheck_outros();\n\t\t\t}\n\n\t\t\tif ((!current || dirty & /*option*/ 1073741824) && raw_value !== (raw_value = /*option*/ ctx[30].label + \"\")) html_tag.p(raw_value);\n\n\t\t\tif (/*option*/ ctx[30].sublabel) {\n\t\t\t\tif (if_block1) {\n\t\t\t\t\tif_block1.p(ctx, dirty);\n\t\t\t\t} else {\n\t\t\t\t\tif_block1 = create_if_block$c(ctx);\n\t\t\t\t\tif_block1.c();\n\t\t\t\t\tif_block1.m(span0, null);\n\t\t\t\t}\n\t\t\t} else if (if_block1) {\n\t\t\t\tif_block1.d(1);\n\t\t\t\tif_block1 = null;\n\t\t\t}\n\n\t\t\tif (!current || dirty & /*optionLabelStyle, option*/ 1073758208 && span0_style_value !== (span0_style_value = isFunction(/*optionLabelStyle*/ ctx[14])\n\t\t\t? /*optionLabelStyle*/ ctx[14](/*option*/ ctx[30].value)\n\t\t\t: /*optionLabelStyle*/ ctx[14])) {\n\t\t\t\tattr(span0, \"style\", span0_style_value);\n\t\t\t}\n\n\t\t\tif (!current || dirty & /*optionLabelClass*/ 1024 && span0_class_value !== (span0_class_value = arrayJoin(['PinturaDropdownOptionLabel', /*optionLabelClass*/ ctx[10]]))) {\n\t\t\t\tattr(span0, \"class\", span0_class_value);\n\t\t\t}\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(if_block0);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(if_block0);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(span1);\n\t\t\tif (if_block0) if_block0.d();\n\t\t\tif (if_block1) if_block1.d();\n\t\t}\n\t};\n}\n\n// (105:4) \nfunction create_details_slot$3(ctx) {\n\tlet div;\n\tlet t;\n\tlet radiogroup;\n\tlet current;\n\tlet mounted;\n\tlet dispose;\n\tconst controls_slot_template = /*#slots*/ ctx[26].controls;\n\tconst controls_slot = create_slot(controls_slot_template, ctx, /*$$scope*/ ctx[28], get_controls_slot_context);\n\n\tradiogroup = new RadioGroup({\n\t\t\tprops: {\n\t\t\t\tclass: \"PinturaOptionsList PinturaScrollableContent\",\n\t\t\t\tname: /*name*/ ctx[7],\n\t\t\t\tvalue: /*value*/ ctx[9],\n\t\t\t\tselectedIndex: /*selectedIndex*/ ctx[8],\n\t\t\t\toptionFilter: /*optionFilter*/ ctx[11],\n\t\t\t\toptionMapper: /*optionMapper*/ ctx[12],\n\t\t\t\toptionLabelClass: arrayJoin(['PinturaDropdownOptionLabel', /*optionLabelClass*/ ctx[10]]),\n\t\t\t\toptionGroupClass: \"PinturaListOptionGroup\",\n\t\t\t\toptionClass: \"PinturaListOption\",\n\t\t\t\toptions: /*localizedOptions*/ ctx[16],\n\t\t\t\tonchange: /*handleSelect*/ ctx[19],\n\t\t\t\t$$slots: {\n\t\t\t\t\toption: [\n\t\t\t\t\t\tcreate_option_slot$5,\n\t\t\t\t\t\t({ option }) => ({ 30: option }),\n\t\t\t\t\t\t({ option }) => option ? 1073741824 : 0\n\t\t\t\t\t],\n\t\t\t\t\tgroup: [\n\t\t\t\t\t\tcreate_group_slot$1,\n\t\t\t\t\t\t({ option }) => ({ 30: option }),\n\t\t\t\t\t\t({ option }) => option ? 1073741824 : 0\n\t\t\t\t\t]\n\t\t\t\t},\n\t\t\t\t$$scope: { ctx }\n\t\t\t}\n\t\t});\n\n\treturn {\n\t\tc() {\n\t\t\tdiv = element(\"div\");\n\t\t\tif (controls_slot) controls_slot.c();\n\t\t\tt = space();\n\t\t\tcreate_component(radiogroup.$$.fragment);\n\t\t\tattr(div, \"slot\", \"details\");\n\t\t\tattr(div, \"class\", \"PinturaOptionsListWrapper\");\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, div, anchor);\n\n\t\t\tif (controls_slot) {\n\t\t\t\tcontrols_slot.m(div, null);\n\t\t\t}\n\n\t\t\tappend(div, t);\n\t\t\tmount_component(radiogroup, div, null);\n\t\t\tcurrent = true;\n\n\t\t\tif (!mounted) {\n\t\t\t\tdispose = listen(div, \"keydown\", /*handleKeydown*/ ctx[21]);\n\t\t\t\tmounted = true;\n\t\t\t}\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tif (controls_slot) {\n\t\t\t\tif (controls_slot.p && (!current || dirty & /*$$scope*/ 268435456)) {\n\t\t\t\t\tupdate_slot_base(\n\t\t\t\t\t\tcontrols_slot,\n\t\t\t\t\t\tcontrols_slot_template,\n\t\t\t\t\t\tctx,\n\t\t\t\t\t\t/*$$scope*/ ctx[28],\n\t\t\t\t\t\t!current\n\t\t\t\t\t\t? get_all_dirty_from_scope(/*$$scope*/ ctx[28])\n\t\t\t\t\t\t: get_slot_changes(controls_slot_template, /*$$scope*/ ctx[28], dirty, get_controls_slot_changes),\n\t\t\t\t\t\tget_controls_slot_context\n\t\t\t\t\t);\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tconst radiogroup_changes = {};\n\t\t\tif (dirty & /*name*/ 128) radiogroup_changes.name = /*name*/ ctx[7];\n\t\t\tif (dirty & /*value*/ 512) radiogroup_changes.value = /*value*/ ctx[9];\n\t\t\tif (dirty & /*selectedIndex*/ 256) radiogroup_changes.selectedIndex = /*selectedIndex*/ ctx[8];\n\t\t\tif (dirty & /*optionFilter*/ 2048) radiogroup_changes.optionFilter = /*optionFilter*/ ctx[11];\n\t\t\tif (dirty & /*optionMapper*/ 4096) radiogroup_changes.optionMapper = /*optionMapper*/ ctx[12];\n\t\t\tif (dirty & /*optionLabelClass*/ 1024) radiogroup_changes.optionLabelClass = arrayJoin(['PinturaDropdownOptionLabel', /*optionLabelClass*/ ctx[10]]);\n\t\t\tif (dirty & /*localizedOptions*/ 65536) radiogroup_changes.options = /*localizedOptions*/ ctx[16];\n\n\t\t\tif (dirty & /*$$scope, optionLabelStyle, option, optionLabelClass, optionIconStyle*/ 1342202880) {\n\t\t\t\tradiogroup_changes.$$scope = { dirty, ctx };\n\t\t\t}\n\n\t\t\tradiogroup.$set(radiogroup_changes);\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(controls_slot, local);\n\t\t\ttransition_in(radiogroup.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(controls_slot, local);\n\t\t\ttransition_out(radiogroup.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(div);\n\t\t\tif (controls_slot) controls_slot.d(detaching);\n\t\t\tdestroy_component(radiogroup);\n\t\t\tmounted = false;\n\t\t\tdispose();\n\t\t}\n\t};\n}\n\nfunction create_fragment$C(ctx) {\n\tlet panel;\n\tlet updating_isActive;\n\tlet current;\n\n\tfunction panel_isActive_binding(value) {\n\t\t/*panel_isActive_binding*/ ctx[27](value);\n\t}\n\n\tlet panel_props = {\n\t\tonshow: /*handleShowPanel*/ ctx[20],\n\t\tbuttonClass: arrayJoin([\n\t\t\t'PinturaDropdownButton',\n\t\t\t/*klass*/ ctx[0],\n\t\t\t/*hideLabel*/ ctx[5] && 'PinturaDropdownIconOnly'\n\t\t]),\n\t\t$$slots: {\n\t\t\tdetails: [create_details_slot$3],\n\t\t\tlabel: [create_label_slot$2]\n\t\t},\n\t\t$$scope: { ctx }\n\t};\n\n\tif (/*dropdownVisible*/ ctx[17] !== void 0) {\n\t\tpanel_props.isActive = /*dropdownVisible*/ ctx[17];\n\t}\n\n\tpanel = new Panel({ props: panel_props });\n\tbinding_callbacks.push(() => bind(panel, 'isActive', panel_isActive_binding));\n\n\treturn {\n\t\tc() {\n\t\t\tcreate_component(panel.$$.fragment);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tmount_component(panel, target, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, [dirty]) {\n\t\t\tconst panel_changes = {};\n\n\t\t\tif (dirty & /*klass, hideLabel*/ 33) panel_changes.buttonClass = arrayJoin([\n\t\t\t\t'PinturaDropdownButton',\n\t\t\t\t/*klass*/ ctx[0],\n\t\t\t\t/*hideLabel*/ ctx[5] && 'PinturaDropdownIconOnly'\n\t\t\t]);\n\n\t\t\tif (dirty & /*$$scope, name, value, selectedIndex, optionFilter, optionMapper, optionLabelClass, localizedOptions, optionLabelStyle, optionIconStyle, title, locale, innerClass, labelClass, hideLabel, label, selectedLabel, icon*/ 268828670) {\n\t\t\t\tpanel_changes.$$scope = { dirty, ctx };\n\t\t\t}\n\n\t\t\tif (!updating_isActive && dirty & /*dropdownVisible*/ 131072) {\n\t\t\t\tupdating_isActive = true;\n\t\t\t\tpanel_changes.isActive = /*dropdownVisible*/ ctx[17];\n\t\t\t\tadd_flush_callback(() => updating_isActive = false);\n\t\t\t}\n\n\t\t\tpanel.$set(panel_changes);\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(panel.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(panel.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tdestroy_component(panel, detaching);\n\t\t}\n\t};\n}\n\nfunction instance$D($$self, $$props, $$invalidate) {\n\tlet localizedOptions;\n\tlet selectedLabel;\n\tlet { $$slots: slots = {}, $$scope } = $$props;\n\tlet { class: klass = undefined } = $$props;\n\tlet { title = undefined } = $$props;\n\tlet { label = undefined } = $$props;\n\tlet { labelClass = undefined } = $$props;\n\tlet { innerClass = undefined } = $$props;\n\tlet { hideLabel = false } = $$props;\n\tlet { icon = undefined } = $$props;\n\tlet { name = undefined } = $$props;\n\tlet { options = [] } = $$props;\n\tlet { selectedIndex = -1 } = $$props;\n\tlet { value = undefined } = $$props;\n\tlet { optionLabelClass = undefined } = $$props;\n\tlet { optionFilter = undefined } = $$props;\n\tlet { optionMapper = undefined } = $$props;\n\tlet { optionIconStyle = undefined } = $$props;\n\tlet { optionLabelStyle = undefined } = $$props;\n\tlet { locale = undefined } = $$props;\n\tlet { onchange = noop$1 } = $$props;\n\tlet { onload = noop$1 } = $$props;\n\tlet { ondestroy = noop$1 } = $$props;\n\n\tconst getUndefinedOptionLabel = options => {\n\t\tconst option = options.find(option => option[0] === undefined);\n\t\tif (!option) return undefined;\n\t\treturn option[1];\n\t};\n\n\tlet dropdownVisible;\n\n\tconst handleSelect = detail => {\n\t\t// triggers label update\n\t\t$$invalidate(18, selectedLabel = detail.value);\n\n\t\t// update value\n\t\tonchange(detail);\n\n\t\t// hide details\n\t\t$$invalidate(17, dropdownVisible = false);\n\t};\n\n\tconst handleShowPanel = ({ e, panel }) => {\n\t\tif (e && e.key && (/up|down/i).test(e.key)) return focus(panel.querySelector('input:not([disabled])'));\n\t\tfocus(panel.querySelector('fieldset'));\n\t};\n\n\tconst handleKeydown = e => {\n\t\t// don't allow tabbing ([tab] is also blocked in normal <select>)\n\t\tif ((/tab/i).test(e.key)) e.preventDefault();\n\t};\n\n\tonMount(() => onload({ options }));\n\tonDestroy(() => ondestroy({ options }));\n\n\tfunction panel_isActive_binding(value) {\n\t\tdropdownVisible = value;\n\t\t$$invalidate(17, dropdownVisible);\n\t}\n\n\t$$self.$$set = $$props => {\n\t\tif ('class' in $$props) $$invalidate(0, klass = $$props.class);\n\t\tif ('title' in $$props) $$invalidate(1, title = $$props.title);\n\t\tif ('label' in $$props) $$invalidate(2, label = $$props.label);\n\t\tif ('labelClass' in $$props) $$invalidate(3, labelClass = $$props.labelClass);\n\t\tif ('innerClass' in $$props) $$invalidate(4, innerClass = $$props.innerClass);\n\t\tif ('hideLabel' in $$props) $$invalidate(5, hideLabel = $$props.hideLabel);\n\t\tif ('icon' in $$props) $$invalidate(6, icon = $$props.icon);\n\t\tif ('name' in $$props) $$invalidate(7, name = $$props.name);\n\t\tif ('options' in $$props) $$invalidate(22, options = $$props.options);\n\t\tif ('selectedIndex' in $$props) $$invalidate(8, selectedIndex = $$props.selectedIndex);\n\t\tif ('value' in $$props) $$invalidate(9, value = $$props.value);\n\t\tif ('optionLabelClass' in $$props) $$invalidate(10, optionLabelClass = $$props.optionLabelClass);\n\t\tif ('optionFilter' in $$props) $$invalidate(11, optionFilter = $$props.optionFilter);\n\t\tif ('optionMapper' in $$props) $$invalidate(12, optionMapper = $$props.optionMapper);\n\t\tif ('optionIconStyle' in $$props) $$invalidate(13, optionIconStyle = $$props.optionIconStyle);\n\t\tif ('optionLabelStyle' in $$props) $$invalidate(14, optionLabelStyle = $$props.optionLabelStyle);\n\t\tif ('locale' in $$props) $$invalidate(15, locale = $$props.locale);\n\t\tif ('onchange' in $$props) $$invalidate(23, onchange = $$props.onchange);\n\t\tif ('onload' in $$props) $$invalidate(24, onload = $$props.onload);\n\t\tif ('ondestroy' in $$props) $$invalidate(25, ondestroy = $$props.ondestroy);\n\t\tif ('$$scope' in $$props) $$invalidate(28, $$scope = $$props.$$scope);\n\t};\n\n\t$$self.$$.update = () => {\n\t\tif ($$self.$$.dirty & /*locale, options*/ 4227072) {\n\t\t\t$$invalidate(16, localizedOptions = locale ? localizeOptions$1(options, locale) : options);\n\t\t}\n\n\t\tif ($$self.$$.dirty & /*localizedOptions, value*/ 66048) {\n\t\t\t$$invalidate(18, selectedLabel = localizedOptions.reduce(\n\t\t\t\t(prev, curr) => {\n\t\t\t\t\tif (prev) return prev;\n\t\t\t\t\tconst item = Array.isArray(curr) ? curr : [curr, curr];\n\t\t\t\t\tconst [optionValue, optionLabel] = item;\n\t\t\t\t\tif (isDeepEqual(optionValue, value)) return optionLabel;\n\t\t\t\t},\n\t\t\t\tundefined\n\t\t\t) || getUndefinedOptionLabel(localizedOptions) || value);\n\t\t}\n\t};\n\n\treturn [\n\t\tklass,\n\t\ttitle,\n\t\tlabel,\n\t\tlabelClass,\n\t\tinnerClass,\n\t\thideLabel,\n\t\ticon,\n\t\tname,\n\t\tselectedIndex,\n\t\tvalue,\n\t\toptionLabelClass,\n\t\toptionFilter,\n\t\toptionMapper,\n\t\toptionIconStyle,\n\t\toptionLabelStyle,\n\t\tlocale,\n\t\tlocalizedOptions,\n\t\tdropdownVisible,\n\t\tselectedLabel,\n\t\thandleSelect,\n\t\thandleShowPanel,\n\t\thandleKeydown,\n\t\toptions,\n\t\tonchange,\n\t\tonload,\n\t\tondestroy,\n\t\tslots,\n\t\tpanel_isActive_binding,\n\t\t$$scope\n\t];\n}\n\nclass Dropdown extends SvelteComponent {\n\tconstructor(options) {\n\t\tsuper();\n\n\t\tinit(this, options, instance$D, create_fragment$C, safe_not_equal, {\n\t\t\tclass: 0,\n\t\t\ttitle: 1,\n\t\t\tlabel: 2,\n\t\t\tlabelClass: 3,\n\t\t\tinnerClass: 4,\n\t\t\thideLabel: 5,\n\t\t\ticon: 6,\n\t\t\tname: 7,\n\t\t\toptions: 22,\n\t\t\tselectedIndex: 8,\n\t\t\tvalue: 9,\n\t\t\toptionLabelClass: 10,\n\t\t\toptionFilter: 11,\n\t\t\toptionMapper: 12,\n\t\t\toptionIconStyle: 13,\n\t\t\toptionLabelStyle: 14,\n\t\t\tlocale: 15,\n\t\t\tonchange: 23,\n\t\t\tonload: 24,\n\t\t\tondestroy: 25\n\t\t});\n\t}\n}\n\n/* src/core/ui/components/DynamicPanel.svelte generated by Svelte v3.52.0 */\n\nfunction create_details_slot$2(ctx) {\n\tlet div;\n\n\treturn {\n\t\tc() {\n\t\t\tdiv = element(\"div\");\n\t\t\tattr(div, \"slot\", \"details\");\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, div, anchor);\n\t\t\t/*div_binding*/ ctx[10](div);\n\t\t},\n\t\tp: noop,\n\t\td(detaching) {\n\t\t\tif (detaching) detach(div);\n\t\t\t/*div_binding*/ ctx[10](null);\n\t\t}\n\t};\n}\n\nfunction create_fragment$B(ctx) {\n\tlet panel;\n\tlet updating_isActive;\n\tlet current;\n\n\tfunction panel_isActive_binding(value) {\n\t\t/*panel_isActive_binding*/ ctx[11](value);\n\t}\n\n\tlet panel_props = {\n\t\tbuttonLabel: /*buttonLabel*/ ctx[0],\n\t\tbuttonClass: /*buttonClass*/ ctx[1],\n\t\tonshow: /*onshow*/ ctx[2],\n\t\tonhide: /*onhide*/ ctx[3],\n\t\t$$slots: { details: [create_details_slot$2] },\n\t\t$$scope: { ctx }\n\t};\n\n\tif (/*isActive*/ ctx[5] !== void 0) {\n\t\tpanel_props.isActive = /*isActive*/ ctx[5];\n\t}\n\n\tpanel = new Panel({ props: panel_props });\n\tbinding_callbacks.push(() => bind(panel, 'isActive', panel_isActive_binding));\n\n\treturn {\n\t\tc() {\n\t\t\tcreate_component(panel.$$.fragment);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tmount_component(panel, target, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, [dirty]) {\n\t\t\tconst panel_changes = {};\n\t\t\tif (dirty & /*buttonLabel*/ 1) panel_changes.buttonLabel = /*buttonLabel*/ ctx[0];\n\t\t\tif (dirty & /*buttonClass*/ 2) panel_changes.buttonClass = /*buttonClass*/ ctx[1];\n\t\t\tif (dirty & /*onshow*/ 4) panel_changes.onshow = /*onshow*/ ctx[2];\n\t\t\tif (dirty & /*onhide*/ 8) panel_changes.onhide = /*onhide*/ ctx[3];\n\n\t\t\tif (dirty & /*$$scope, container*/ 4112) {\n\t\t\t\tpanel_changes.$$scope = { dirty, ctx };\n\t\t\t}\n\n\t\t\tif (!updating_isActive && dirty & /*isActive*/ 32) {\n\t\t\t\tupdating_isActive = true;\n\t\t\t\tpanel_changes.isActive = /*isActive*/ ctx[5];\n\t\t\t\tadd_flush_callback(() => updating_isActive = false);\n\t\t\t}\n\n\t\t\tpanel.$set(panel_changes);\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(panel.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(panel.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tdestroy_component(panel, detaching);\n\t\t}\n\t};\n}\n\nfunction instance$C($$self, $$props, $$invalidate) {\n\tlet { buttonLabel = undefined } = $$props;\n\tlet { buttonClass = undefined } = $$props;\n\tlet { root = undefined } = $$props;\n\tlet { ondestroy = noop$1 } = $$props;\n\tlet { onshow = noop$1 } = $$props;\n\tlet { onhide = noop$1 } = $$props;\n\tconst hide = () => $$invalidate(5, isActive = false);\n\tconst show = () => $$invalidate(5, isActive = true);\n\tlet container;\n\tlet isActive = false;\n\tonDestroy(ondestroy);\n\n\tfunction div_binding($$value) {\n\t\tbinding_callbacks[$$value ? 'unshift' : 'push'](() => {\n\t\t\tcontainer = $$value;\n\t\t\t$$invalidate(4, container);\n\t\t});\n\t}\n\n\tfunction panel_isActive_binding(value) {\n\t\tisActive = value;\n\t\t$$invalidate(5, isActive);\n\t}\n\n\t$$self.$$set = $$props => {\n\t\tif ('buttonLabel' in $$props) $$invalidate(0, buttonLabel = $$props.buttonLabel);\n\t\tif ('buttonClass' in $$props) $$invalidate(1, buttonClass = $$props.buttonClass);\n\t\tif ('root' in $$props) $$invalidate(6, root = $$props.root);\n\t\tif ('ondestroy' in $$props) $$invalidate(7, ondestroy = $$props.ondestroy);\n\t\tif ('onshow' in $$props) $$invalidate(2, onshow = $$props.onshow);\n\t\tif ('onhide' in $$props) $$invalidate(3, onhide = $$props.onhide);\n\t};\n\n\t$$self.$$.update = () => {\n\t\tif ($$self.$$.dirty & /*container, root*/ 80) {\n\t\t\tif (container && root && container.firstChild !== root) {\n\t\t\t\tcontainer.hasChildNodes()\n\t\t\t\t? container.replaceChild(root, container.firstChild)\n\t\t\t\t: container.append(root);\n\t\t\t}\n\t\t}\n\t};\n\n\treturn [\n\t\tbuttonLabel,\n\t\tbuttonClass,\n\t\tonshow,\n\t\tonhide,\n\t\tcontainer,\n\t\tisActive,\n\t\troot,\n\t\tondestroy,\n\t\thide,\n\t\tshow,\n\t\tdiv_binding,\n\t\tpanel_isActive_binding\n\t];\n}\n\nclass DynamicPanel extends SvelteComponent {\n\tconstructor(options) {\n\t\tsuper();\n\n\t\tinit(this, options, instance$C, create_fragment$B, safe_not_equal, {\n\t\t\tbuttonLabel: 0,\n\t\t\tbuttonClass: 1,\n\t\t\troot: 6,\n\t\t\tondestroy: 7,\n\t\t\tonshow: 2,\n\t\t\tonhide: 3,\n\t\t\thide: 8,\n\t\t\tshow: 9\n\t\t});\n\t}\n\n\tget hide() {\n\t\treturn this.$$.ctx[8];\n\t}\n\n\tget show() {\n\t\treturn this.$$.ctx[9];\n\t}\n}\n\nvar numberRoundTo = (value, fraction) => {\n    fraction = 1 / fraction;\n    return Math.round(value * fraction) / fraction;\n};\n\nvar toFraction = (value, min, max) => (value - min) / (max - min);\n\n/* src/core/ui/components/Slider.svelte generated by Svelte v3.52.0 */\nconst get_knob_slot_changes = dirty => ({});\nconst get_knob_slot_context = ctx => ({});\n\n// (237:4) {#if enableSpinButtons}\nfunction create_if_block$b(ctx) {\n\tlet button0;\n\tlet icon0;\n\tlet t;\n\tlet button1;\n\tlet icon1;\n\tlet current;\n\tlet mounted;\n\tlet dispose;\n\n\ticon0 = new Icon({\n\t\t\tprops: {\n\t\t\t\t$$slots: { default: [create_default_slot_1$5] },\n\t\t\t\t$$scope: { ctx }\n\t\t\t}\n\t\t});\n\n\ticon1 = new Icon({\n\t\t\tprops: {\n\t\t\t\t$$slots: { default: [create_default_slot$e] },\n\t\t\t\t$$scope: { ctx }\n\t\t\t}\n\t\t});\n\n\treturn {\n\t\tc() {\n\t\t\tbutton0 = element(\"button\");\n\t\t\tcreate_component(icon0.$$.fragment);\n\t\t\tt = space();\n\t\t\tbutton1 = element(\"button\");\n\t\t\tcreate_component(icon1.$$.fragment);\n\t\t\tattr(button0, \"type\", \"button\");\n\t\t\tattr(button0, \"aria-label\", \"Increase\");\n\t\t\tattr(button1, \"type\", \"button\");\n\t\t\tattr(button1, \"aria-label\", \"Decrease\");\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, button0, anchor);\n\t\t\tmount_component(icon0, button0, null);\n\t\t\tinsert(target, t, anchor);\n\t\t\tinsert(target, button1, anchor);\n\t\t\tmount_component(icon1, button1, null);\n\t\t\tcurrent = true;\n\n\t\t\tif (!mounted) {\n\t\t\t\tdispose = [\n\t\t\t\t\tlisten(button0, \"pointerdown\", /*handleUpdaterDown*/ ctx[20](1)),\n\t\t\t\t\tlisten(button1, \"pointerdown\", /*handleUpdaterDown*/ ctx[20](-1))\n\t\t\t\t];\n\n\t\t\t\tmounted = true;\n\t\t\t}\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tconst icon0_changes = {};\n\n\t\t\tif (dirty[1] & /*$$scope*/ 128) {\n\t\t\t\ticon0_changes.$$scope = { dirty, ctx };\n\t\t\t}\n\n\t\t\ticon0.$set(icon0_changes);\n\t\t\tconst icon1_changes = {};\n\n\t\t\tif (dirty[1] & /*$$scope*/ 128) {\n\t\t\t\ticon1_changes.$$scope = { dirty, ctx };\n\t\t\t}\n\n\t\t\ticon1.$set(icon1_changes);\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(icon0.$$.fragment, local);\n\t\t\ttransition_in(icon1.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(icon0.$$.fragment, local);\n\t\t\ttransition_out(icon1.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(button0);\n\t\t\tdestroy_component(icon0);\n\t\t\tif (detaching) detach(t);\n\t\t\tif (detaching) detach(button1);\n\t\t\tdestroy_component(icon1);\n\t\t\tmounted = false;\n\t\t\trun_all(dispose);\n\t\t}\n\t};\n}\n\n// (239:12) <Icon>\nfunction create_default_slot_1$5(ctx) {\n\tlet path;\n\n\treturn {\n\t\tc() {\n\t\t\tpath = svg_element(\"path\");\n\t\t\tattr(path, \"d\", \"M8 12 h8 M12 8 v8\");\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, path, anchor);\n\t\t},\n\t\tp: noop,\n\t\td(detaching) {\n\t\t\tif (detaching) detach(path);\n\t\t}\n\t};\n}\n\n// (242:12) <Icon>\nfunction create_default_slot$e(ctx) {\n\tlet path;\n\n\treturn {\n\t\tc() {\n\t\t\tpath = svg_element(\"path\");\n\t\t\tattr(path, \"d\", \"M9 12 h6\");\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, path, anchor);\n\t\t},\n\t\tp: noop,\n\t\td(detaching) {\n\t\t\tif (detaching) detach(path);\n\t\t}\n\t};\n}\n\nfunction create_fragment$A(ctx) {\n\tlet div4;\n\tlet div3;\n\tlet input_1;\n\tlet input_1_style_value;\n\tlet t0;\n\tlet div0;\n\tlet div0_class_value;\n\tlet t1;\n\tlet div2;\n\tlet div1;\n\tlet div1_class_value;\n\tlet div3_style_value;\n\tlet t2;\n\tlet div4_class_value;\n\tlet current;\n\tlet mounted;\n\tlet dispose;\n\tconst default_slot_template = /*#slots*/ ctx[36].default;\n\tconst default_slot = create_slot(default_slot_template, ctx, /*$$scope*/ ctx[38], null);\n\tconst knob_slot_template = /*#slots*/ ctx[36].knob;\n\tconst knob_slot = create_slot(knob_slot_template, ctx, /*$$scope*/ ctx[38], get_knob_slot_context);\n\tlet if_block = /*enableSpinButtons*/ ctx[9] && create_if_block$b(ctx);\n\n\treturn {\n\t\tc() {\n\t\t\tdiv4 = element(\"div\");\n\t\t\tdiv3 = element(\"div\");\n\t\t\tinput_1 = element(\"input\");\n\t\t\tt0 = space();\n\t\t\tdiv0 = element(\"div\");\n\t\t\tif (default_slot) default_slot.c();\n\t\t\tt1 = space();\n\t\t\tdiv2 = element(\"div\");\n\t\t\tdiv1 = element(\"div\");\n\t\t\tif (knob_slot) knob_slot.c();\n\t\t\tt2 = space();\n\t\t\tif (if_block) if_block.c();\n\t\t\tattr(input_1, \"type\", \"range\");\n\t\t\tattr(input_1, \"id\", /*id*/ ctx[3]);\n\t\t\tattr(input_1, \"min\", /*min*/ ctx[0]);\n\t\t\tattr(input_1, \"max\", /*max*/ ctx[1]);\n\t\t\tattr(input_1, \"step\", /*step*/ ctx[2]);\n\t\t\tinput_1.value = /*numberValue*/ ctx[14];\n\n\t\t\tattr(input_1, \"style\", input_1_style_value = /*enableForceUseKnob*/ ctx[10]\n\t\t\t? 'pointer-events:none'\n\t\t\t: '');\n\n\t\t\tattr(div0, \"class\", div0_class_value = arrayJoin(['PinturaSliderTrack', /*trackClass*/ ctx[5]]));\n\t\t\tattr(div0, \"style\", /*trackStyle*/ ctx[4]);\n\t\t\tattr(div1, \"class\", div1_class_value = arrayJoin(['PinturaSliderKnob', /*knobClass*/ ctx[7]]));\n\t\t\tattr(div1, \"style\", /*knobStyle*/ ctx[6]);\n\t\t\tattr(div2, \"class\", \"PinturaSliderKnobController\");\n\t\t\tattr(div2, \"style\", /*knobControllerStyle*/ ctx[17]);\n\t\t\tattr(div3, \"class\", \"PinturaSliderControl\");\n\t\t\tattr(div3, \"style\", div3_style_value = `--slider-position:${Math.round(/*position*/ ctx[15])}`);\n\t\t\tattr(div4, \"class\", div4_class_value = arrayJoin(['PinturaSlider', /*klass*/ ctx[12]]));\n\t\t\tattr(div4, \"data-direction\", /*direction*/ ctx[8]);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, div4, anchor);\n\t\t\tappend(div4, div3);\n\t\t\tappend(div3, input_1);\n\t\t\t/*input_1_binding*/ ctx[37](input_1);\n\t\t\tappend(div3, t0);\n\t\t\tappend(div3, div0);\n\n\t\t\tif (default_slot) {\n\t\t\t\tdefault_slot.m(div0, null);\n\t\t\t}\n\n\t\t\tappend(div3, t1);\n\t\t\tappend(div3, div2);\n\t\t\tappend(div2, div1);\n\n\t\t\tif (knob_slot) {\n\t\t\t\tknob_slot.m(div1, null);\n\t\t\t}\n\n\t\t\tappend(div4, t2);\n\t\t\tif (if_block) if_block.m(div4, null);\n\t\t\tcurrent = true;\n\n\t\t\tif (!mounted) {\n\t\t\t\tdispose = [\n\t\t\t\t\tlisten(input_1, \"input\", /*handleInput*/ ctx[18]),\n\t\t\t\t\tlisten(input_1, \"nudge\", /*handleNudge*/ ctx[19]),\n\t\t\t\t\taction_destroyer(nudgeable.call(null, input_1)),\n\t\t\t\t\tlisten(div3, \"pointerdown\", function () {\n\t\t\t\t\t\tif (is_function(/*enablePointerdownListener*/ ctx[11] && /*handlePointerDown*/ ctx[13])) (/*enablePointerdownListener*/ ctx[11] && /*handlePointerDown*/ ctx[13]).apply(this, arguments);\n\t\t\t\t\t})\n\t\t\t\t];\n\n\t\t\t\tmounted = true;\n\t\t\t}\n\t\t},\n\t\tp(new_ctx, dirty) {\n\t\t\tctx = new_ctx;\n\n\t\t\tif (!current || dirty[0] & /*id*/ 8) {\n\t\t\t\tattr(input_1, \"id\", /*id*/ ctx[3]);\n\t\t\t}\n\n\t\t\tif (!current || dirty[0] & /*min*/ 1) {\n\t\t\t\tattr(input_1, \"min\", /*min*/ ctx[0]);\n\t\t\t}\n\n\t\t\tif (!current || dirty[0] & /*max*/ 2) {\n\t\t\t\tattr(input_1, \"max\", /*max*/ ctx[1]);\n\t\t\t}\n\n\t\t\tif (!current || dirty[0] & /*step*/ 4) {\n\t\t\t\tattr(input_1, \"step\", /*step*/ ctx[2]);\n\t\t\t}\n\n\t\t\tif (!current || dirty[0] & /*numberValue*/ 16384) {\n\t\t\t\tinput_1.value = /*numberValue*/ ctx[14];\n\t\t\t}\n\n\t\t\tif (!current || dirty[0] & /*enableForceUseKnob*/ 1024 && input_1_style_value !== (input_1_style_value = /*enableForceUseKnob*/ ctx[10]\n\t\t\t? 'pointer-events:none'\n\t\t\t: '')) {\n\t\t\t\tattr(input_1, \"style\", input_1_style_value);\n\t\t\t}\n\n\t\t\tif (default_slot) {\n\t\t\t\tif (default_slot.p && (!current || dirty[1] & /*$$scope*/ 128)) {\n\t\t\t\t\tupdate_slot_base(\n\t\t\t\t\t\tdefault_slot,\n\t\t\t\t\t\tdefault_slot_template,\n\t\t\t\t\t\tctx,\n\t\t\t\t\t\t/*$$scope*/ ctx[38],\n\t\t\t\t\t\t!current\n\t\t\t\t\t\t? get_all_dirty_from_scope(/*$$scope*/ ctx[38])\n\t\t\t\t\t\t: get_slot_changes(default_slot_template, /*$$scope*/ ctx[38], dirty, null),\n\t\t\t\t\t\tnull\n\t\t\t\t\t);\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tif (!current || dirty[0] & /*trackClass*/ 32 && div0_class_value !== (div0_class_value = arrayJoin(['PinturaSliderTrack', /*trackClass*/ ctx[5]]))) {\n\t\t\t\tattr(div0, \"class\", div0_class_value);\n\t\t\t}\n\n\t\t\tif (!current || dirty[0] & /*trackStyle*/ 16) {\n\t\t\t\tattr(div0, \"style\", /*trackStyle*/ ctx[4]);\n\t\t\t}\n\n\t\t\tif (knob_slot) {\n\t\t\t\tif (knob_slot.p && (!current || dirty[1] & /*$$scope*/ 128)) {\n\t\t\t\t\tupdate_slot_base(\n\t\t\t\t\t\tknob_slot,\n\t\t\t\t\t\tknob_slot_template,\n\t\t\t\t\t\tctx,\n\t\t\t\t\t\t/*$$scope*/ ctx[38],\n\t\t\t\t\t\t!current\n\t\t\t\t\t\t? get_all_dirty_from_scope(/*$$scope*/ ctx[38])\n\t\t\t\t\t\t: get_slot_changes(knob_slot_template, /*$$scope*/ ctx[38], dirty, get_knob_slot_changes),\n\t\t\t\t\t\tget_knob_slot_context\n\t\t\t\t\t);\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tif (!current || dirty[0] & /*knobClass*/ 128 && div1_class_value !== (div1_class_value = arrayJoin(['PinturaSliderKnob', /*knobClass*/ ctx[7]]))) {\n\t\t\t\tattr(div1, \"class\", div1_class_value);\n\t\t\t}\n\n\t\t\tif (!current || dirty[0] & /*knobStyle*/ 64) {\n\t\t\t\tattr(div1, \"style\", /*knobStyle*/ ctx[6]);\n\t\t\t}\n\n\t\t\tif (!current || dirty[0] & /*knobControllerStyle*/ 131072) {\n\t\t\t\tattr(div2, \"style\", /*knobControllerStyle*/ ctx[17]);\n\t\t\t}\n\n\t\t\tif (!current || dirty[0] & /*position*/ 32768 && div3_style_value !== (div3_style_value = `--slider-position:${Math.round(/*position*/ ctx[15])}`)) {\n\t\t\t\tattr(div3, \"style\", div3_style_value);\n\t\t\t}\n\n\t\t\tif (/*enableSpinButtons*/ ctx[9]) {\n\t\t\t\tif (if_block) {\n\t\t\t\t\tif_block.p(ctx, dirty);\n\n\t\t\t\t\tif (dirty[0] & /*enableSpinButtons*/ 512) {\n\t\t\t\t\t\ttransition_in(if_block, 1);\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tif_block = create_if_block$b(ctx);\n\t\t\t\t\tif_block.c();\n\t\t\t\t\ttransition_in(if_block, 1);\n\t\t\t\t\tif_block.m(div4, null);\n\t\t\t\t}\n\t\t\t} else if (if_block) {\n\t\t\t\tgroup_outros();\n\n\t\t\t\ttransition_out(if_block, 1, 1, () => {\n\t\t\t\t\tif_block = null;\n\t\t\t\t});\n\n\t\t\t\tcheck_outros();\n\t\t\t}\n\n\t\t\tif (!current || dirty[0] & /*klass*/ 4096 && div4_class_value !== (div4_class_value = arrayJoin(['PinturaSlider', /*klass*/ ctx[12]]))) {\n\t\t\t\tattr(div4, \"class\", div4_class_value);\n\t\t\t}\n\n\t\t\tif (!current || dirty[0] & /*direction*/ 256) {\n\t\t\t\tattr(div4, \"data-direction\", /*direction*/ ctx[8]);\n\t\t\t}\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(default_slot, local);\n\t\t\ttransition_in(knob_slot, local);\n\t\t\ttransition_in(if_block);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(default_slot, local);\n\t\t\ttransition_out(knob_slot, local);\n\t\t\ttransition_out(if_block);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(div4);\n\t\t\t/*input_1_binding*/ ctx[37](null);\n\t\t\tif (default_slot) default_slot.d(detaching);\n\t\t\tif (knob_slot) knob_slot.d(detaching);\n\t\t\tif (if_block) if_block.d();\n\t\t\tmounted = false;\n\t\t\trun_all(dispose);\n\t\t}\n\t};\n}\n\nfunction instance$B($$self, $$props, $$invalidate) {\n\tlet numberValue;\n\tlet range;\n\tlet fraction;\n\tlet position;\n\tlet axis;\n\tlet dimension;\n\tlet offsetSizeProp;\n\tlet pageAxisProp;\n\tlet knobControllerStyle;\n\tlet { $$slots: slots = {}, $$scope } = $$props;\n\tlet { min = 0 } = $$props;\n\tlet { max = 100 } = $$props;\n\tlet { step = 1 } = $$props;\n\tlet { id = undefined } = $$props;\n\tlet { value = 0 } = $$props;\n\tlet { valueMin = undefined } = $$props;\n\tlet { valueMax = undefined } = $$props;\n\tlet { trackStyle = undefined } = $$props;\n\tlet { trackClass = undefined } = $$props;\n\tlet { knobStyle = undefined } = $$props;\n\tlet { knobClass = undefined } = $$props;\n\tlet { ongrab = noop$1 } = $$props;\n\tlet { onchange = noop$1 } = $$props;\n\tlet { onrelease = noop$1 } = $$props;\n\tlet { onexceed = noop$1 } = $$props;\n\tlet { direction = 'x' } = $$props;\n\tlet { getValue = passthrough } = $$props;\n\tlet { setValue = passthrough } = $$props;\n\tlet { enableSpinButtons = true } = $$props;\n\tlet { enableForceUseKnob = false } = $$props;\n\tlet { enableStopPropagation = true } = $$props;\n\tlet { enablePointerdownListener = true } = $$props;\n\tlet { maxInteractionDistance = 6 } = $$props;\n\tlet { class: klass = undefined } = $$props;\n\tlet input;\n\tlet inputSize;\n\tlet inputOffset;\n\tlet pageOffset;\n\tlet valuePrev;\n\tlet valuePrevIntended;\n\tconst formatValue = value => setValue(numberRoundTo(clamp(value, min, max), step));\n\n\tconst setValueByOffset = (offset, size, options = {}) => {\n\t\tconst { grabbed = false, released = false } = options;\n\t\tconst intendedValue = formatValue(min + offset / size * range);\n\t\tconst minValue = valueMin || min;\n\t\tconst maxValue = valueMax || max;\n\n\t\t$$invalidate(21, value = isString(intendedValue)\n\t\t? intendedValue\n\t\t: clamp(intendedValue, minValue, maxValue));\n\n\t\t// skip\n\t\tif (valuePrevIntended === intendedValue) return;\n\n\t\tvaluePrevIntended = intendedValue;\n\n\t\tif (!isString(intendedValue) && (intendedValue < minValue || intendedValue > maxValue)) {\n\t\t\tonexceed(value, intendedValue);\n\t\t}\n\n\t\tif (value === valuePrev) {\n\t\t\treturn;\n\t\t}\n\n\t\tvaluePrev = value;\n\t\tif (grabbed) ongrab(value);\n\t\tonchange(value);\n\t\tif (released) onrelease(value);\n\t};\n\n\tconst handleInput = e => {\n\t\t// already handled by pointer events\n\t\tif (inputSize) return;\n\n\t\t$$invalidate(21, value = setValue(parseFloat(e.target.value)));\n\t\tif (value === valuePrev) return;\n\t\tvaluePrev = value;\n\t\tonchange(value);\n\t};\n\n\tlet nudgeTimer;\n\n\tconst handleNudge = e => {\n\t\tconst size = input[offsetSizeProp];\n\t\tconst offset = numberValue / range * size;\n\t\tsetValueByOffset(offset + e.detail[direction], size);\n\t\tclearTimeout(nudgeTimer);\n\n\t\tnudgeTimer = setTimeout(\n\t\t\t() => {\n\t\t\t\tonrelease(value);\n\t\t\t},\n\t\t\t250\n\t\t);\n\t};\n\n\tconst eventDistanceToKnob = e => {\n\t\tconst clientRect = input.getBoundingClientRect();\n\t\tconst pageOffset = e[pageAxisProp];\n\t\tconst inputOffset = pageOffset - clientRect[direction];\n\t\tconst inputSize = input[offsetSizeProp];\n\t\treturn Math.abs(inputOffset - fraction * inputSize);\n\t};\n\n\tconst handlePointerDown = e => {\n\t\tlet stopPropagation = false;\n\t\tenableStopPropagation && e.stopPropagation();\n\t\tclearTimeout(nudgeTimer);\n\t\tconst clientRect = input.getBoundingClientRect();\n\t\tinputSize = input[offsetSizeProp];\n\t\tpageOffset = e[pageAxisProp];\n\t\tinputOffset = pageOffset - clientRect[direction];\n\n\t\tif (enableForceUseKnob) {\n\t\t\tconst dist = Math.abs(inputOffset - fraction * inputSize);\n\t\t\tif (dist > maxInteractionDistance) return;\n\t\t\tstopPropagation = true;\n\t\t\te.stopPropagation();\n\t\t}\n\n\t\tif (document.activeElement !== input) input.focus();\n\t\tsetValueByOffset(inputOffset, inputSize, { grabbed: true });\n\t\tdocument.documentElement.addEventListener('pointermove', handlePointerMove);\n\t\tdocument.documentElement.addEventListener('pointerup', handlePointerUp);\n\t\treturn stopPropagation;\n\t};\n\n\tconst handlePointerMove = e => {\n\t\tconst d = e[pageAxisProp] - pageOffset;\n\t\tsetValueByOffset(inputOffset + d, inputSize);\n\t};\n\n\tconst handlePointerUp = e => {\n\t\tinputSize = undefined;\n\t\tdocument.documentElement.removeEventListener('pointermove', handlePointerMove);\n\t\tdocument.documentElement.removeEventListener('pointerup', handlePointerUp);\n\t\tonchange(value);\n\t\tonrelease(value);\n\t};\n\n\tconst update = () => {\n\t\t$$invalidate(21, value = formatValue(numberValue + updateDir * step));\n\t\tonchange(value);\n\t};\n\n\tlet updateTimer;\n\tlet updateDir = 1;\n\tlet didUpdate = false;\n\n\tconst handleUpdaterDown = dir => e => {\n\t\tclearTimeout(nudgeTimer);\n\t\tupdateDir = dir;\n\t\tdidUpdate = false;\n\n\t\tupdateTimer = setInterval(\n\t\t\t() => {\n\t\t\t\tdidUpdate = true;\n\t\t\t\tupdate();\n\t\t\t},\n\t\t\t100\n\t\t);\n\n\t\tdocument.addEventListener('pointercancel', handleUpdaterUp);\n\t\tdocument.addEventListener('pointerup', handleUpdaterUp);\n\t};\n\n\tconst handleUpdaterUp = e => {\n\t\tclearTimeout(updateTimer);\n\t\tif (!didUpdate) update();\n\t\tonrelease(value);\n\t\tdocument.removeEventListener('pointerup', handleUpdaterUp);\n\t};\n\n\tfunction input_1_binding($$value) {\n\t\tbinding_callbacks[$$value ? 'unshift' : 'push'](() => {\n\t\t\tinput = $$value;\n\t\t\t$$invalidate(16, input);\n\t\t});\n\t}\n\n\t$$self.$$set = $$props => {\n\t\tif ('min' in $$props) $$invalidate(0, min = $$props.min);\n\t\tif ('max' in $$props) $$invalidate(1, max = $$props.max);\n\t\tif ('step' in $$props) $$invalidate(2, step = $$props.step);\n\t\tif ('id' in $$props) $$invalidate(3, id = $$props.id);\n\t\tif ('value' in $$props) $$invalidate(21, value = $$props.value);\n\t\tif ('valueMin' in $$props) $$invalidate(22, valueMin = $$props.valueMin);\n\t\tif ('valueMax' in $$props) $$invalidate(23, valueMax = $$props.valueMax);\n\t\tif ('trackStyle' in $$props) $$invalidate(4, trackStyle = $$props.trackStyle);\n\t\tif ('trackClass' in $$props) $$invalidate(5, trackClass = $$props.trackClass);\n\t\tif ('knobStyle' in $$props) $$invalidate(6, knobStyle = $$props.knobStyle);\n\t\tif ('knobClass' in $$props) $$invalidate(7, knobClass = $$props.knobClass);\n\t\tif ('ongrab' in $$props) $$invalidate(24, ongrab = $$props.ongrab);\n\t\tif ('onchange' in $$props) $$invalidate(25, onchange = $$props.onchange);\n\t\tif ('onrelease' in $$props) $$invalidate(26, onrelease = $$props.onrelease);\n\t\tif ('onexceed' in $$props) $$invalidate(27, onexceed = $$props.onexceed);\n\t\tif ('direction' in $$props) $$invalidate(8, direction = $$props.direction);\n\t\tif ('getValue' in $$props) $$invalidate(28, getValue = $$props.getValue);\n\t\tif ('setValue' in $$props) $$invalidate(29, setValue = $$props.setValue);\n\t\tif ('enableSpinButtons' in $$props) $$invalidate(9, enableSpinButtons = $$props.enableSpinButtons);\n\t\tif ('enableForceUseKnob' in $$props) $$invalidate(10, enableForceUseKnob = $$props.enableForceUseKnob);\n\t\tif ('enableStopPropagation' in $$props) $$invalidate(30, enableStopPropagation = $$props.enableStopPropagation);\n\t\tif ('enablePointerdownListener' in $$props) $$invalidate(11, enablePointerdownListener = $$props.enablePointerdownListener);\n\t\tif ('maxInteractionDistance' in $$props) $$invalidate(31, maxInteractionDistance = $$props.maxInteractionDistance);\n\t\tif ('class' in $$props) $$invalidate(12, klass = $$props.class);\n\t\tif ('$$scope' in $$props) $$invalidate(38, $$scope = $$props.$$scope);\n\t};\n\n\t$$self.$$.update = () => {\n\t\tif ($$self.$$.dirty[0] & /*value, getValue*/ 270532608) {\n\t\t\t$$invalidate(14, numberValue = value !== undefined ? getValue(value) : 0);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*max, min*/ 3) {\n\t\t\trange = max - min;\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*numberValue, min, max*/ 16387) {\n\t\t\t$$invalidate(33, fraction = toFraction(numberValue, min, max));\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*fraction*/ 4) {\n\t\t\t$$invalidate(15, position = fraction * 100);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*direction*/ 256) {\n\t\t\t$$invalidate(34, axis = direction.toUpperCase());\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*direction*/ 256) {\n\t\t\t$$invalidate(35, dimension = direction === 'x' ? 'Width' : 'Height');\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*dimension*/ 16) {\n\t\t\toffsetSizeProp = `offset${dimension}`;\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*axis*/ 8) ;\n\n\t\tif ($$self.$$.dirty[1] & /*axis*/ 8) {\n\t\t\tpageAxisProp = `page${axis}`;\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*position*/ 32768 | $$self.$$.dirty[1] & /*axis*/ 8) {\n\t\t\t$$invalidate(17, knobControllerStyle = `transform: translate${axis}(${position}%)`);\n\t\t}\n\t};\n\n\treturn [\n\t\tmin,\n\t\tmax,\n\t\tstep,\n\t\tid,\n\t\ttrackStyle,\n\t\ttrackClass,\n\t\tknobStyle,\n\t\tknobClass,\n\t\tdirection,\n\t\tenableSpinButtons,\n\t\tenableForceUseKnob,\n\t\tenablePointerdownListener,\n\t\tklass,\n\t\thandlePointerDown,\n\t\tnumberValue,\n\t\tposition,\n\t\tinput,\n\t\tknobControllerStyle,\n\t\thandleInput,\n\t\thandleNudge,\n\t\thandleUpdaterDown,\n\t\tvalue,\n\t\tvalueMin,\n\t\tvalueMax,\n\t\tongrab,\n\t\tonchange,\n\t\tonrelease,\n\t\tonexceed,\n\t\tgetValue,\n\t\tsetValue,\n\t\tenableStopPropagation,\n\t\tmaxInteractionDistance,\n\t\teventDistanceToKnob,\n\t\tfraction,\n\t\taxis,\n\t\tdimension,\n\t\tslots,\n\t\tinput_1_binding,\n\t\t$$scope\n\t];\n}\n\nclass Slider extends SvelteComponent {\n\tconstructor(options) {\n\t\tsuper();\n\n\t\tinit(\n\t\t\tthis,\n\t\t\toptions,\n\t\t\tinstance$B,\n\t\t\tcreate_fragment$A,\n\t\t\tsafe_not_equal,\n\t\t\t{\n\t\t\t\tmin: 0,\n\t\t\t\tmax: 1,\n\t\t\t\tstep: 2,\n\t\t\t\tid: 3,\n\t\t\t\tvalue: 21,\n\t\t\t\tvalueMin: 22,\n\t\t\t\tvalueMax: 23,\n\t\t\t\ttrackStyle: 4,\n\t\t\t\ttrackClass: 5,\n\t\t\t\tknobStyle: 6,\n\t\t\t\tknobClass: 7,\n\t\t\t\tongrab: 24,\n\t\t\t\tonchange: 25,\n\t\t\t\tonrelease: 26,\n\t\t\t\tonexceed: 27,\n\t\t\t\tdirection: 8,\n\t\t\t\tgetValue: 28,\n\t\t\t\tsetValue: 29,\n\t\t\t\tenableSpinButtons: 9,\n\t\t\t\tenableForceUseKnob: 10,\n\t\t\t\tenableStopPropagation: 30,\n\t\t\t\tenablePointerdownListener: 11,\n\t\t\t\tmaxInteractionDistance: 31,\n\t\t\t\tclass: 12,\n\t\t\t\teventDistanceToKnob: 32,\n\t\t\t\thandlePointerDown: 13\n\t\t\t},\n\t\t\tnull,\n\t\t\t[-1, -1]\n\t\t);\n\t}\n\n\tget eventDistanceToKnob() {\n\t\treturn this.$$.ctx[32];\n\t}\n\n\tget handlePointerDown() {\n\t\treturn this.$$.ctx[13];\n\t}\n}\n\n/* src/core/ui/components/ToggleSlider.svelte generated by Svelte v3.52.0 */\n\nfunction create_if_block$a(ctx) {\n\tlet icon_1;\n\tlet current;\n\n\ticon_1 = new Icon({\n\t\t\tprops: {\n\t\t\t\tclass: \"PinturaButtonIcon\",\n\t\t\t\t$$slots: { default: [create_default_slot$d] },\n\t\t\t\t$$scope: { ctx }\n\t\t\t}\n\t\t});\n\n\treturn {\n\t\tc() {\n\t\t\tcreate_component(icon_1.$$.fragment);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tmount_component(icon_1, target, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tconst icon_1_changes = {};\n\n\t\t\tif (dirty & /*$$scope, icon*/ 524292) {\n\t\t\t\ticon_1_changes.$$scope = { dirty, ctx };\n\t\t\t}\n\n\t\t\ticon_1.$set(icon_1_changes);\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(icon_1.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(icon_1.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tdestroy_component(icon_1, detaching);\n\t\t}\n\t};\n}\n\n// (56:12) <Icon class=\"PinturaButtonIcon\">\nfunction create_default_slot$d(ctx) {\n\tlet g;\n\n\treturn {\n\t\tc() {\n\t\t\tg = svg_element(\"g\");\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, g, anchor);\n\t\t\tg.innerHTML = /*icon*/ ctx[2];\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tif (dirty & /*icon*/ 4) g.innerHTML = /*icon*/ ctx[2];\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(g);\n\t\t}\n\t};\n}\n\n// (50:4) \nfunction create_label_slot$1(ctx) {\n\tlet span1;\n\tlet t0;\n\tlet span0;\n\tlet t1;\n\tlet span0_class_value;\n\tlet span1_title_value;\n\tlet span1_class_value;\n\tlet current;\n\tlet if_block = /*icon*/ ctx[2] && create_if_block$a(ctx);\n\n\treturn {\n\t\tc() {\n\t\t\tspan1 = element(\"span\");\n\t\t\tif (if_block) if_block.c();\n\t\t\tt0 = space();\n\t\t\tspan0 = element(\"span\");\n\t\t\tt1 = text(/*currentLabel*/ ctx[8]);\n\n\t\t\tattr(span0, \"class\", span0_class_value = arrayJoin([\n\t\t\t\t'PinturaButtonLabel',\n\t\t\t\t/*labelClass*/ ctx[3],\n\t\t\t\t/*hideLabel*/ ctx[5] && 'implicit'\n\t\t\t]));\n\n\t\t\tattr(span1, \"slot\", \"label\");\n\t\t\tattr(span1, \"title\", span1_title_value = localize(/*title*/ ctx[1], /*locale*/ ctx[6]));\n\t\t\tattr(span1, \"class\", span1_class_value = arrayJoin(['PinturaButtonInner', /*innerClass*/ ctx[4]]));\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, span1, anchor);\n\t\t\tif (if_block) if_block.m(span1, null);\n\t\t\tappend(span1, t0);\n\t\t\tappend(span1, span0);\n\t\t\tappend(span0, t1);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tif (/*icon*/ ctx[2]) {\n\t\t\t\tif (if_block) {\n\t\t\t\t\tif_block.p(ctx, dirty);\n\n\t\t\t\t\tif (dirty & /*icon*/ 4) {\n\t\t\t\t\t\ttransition_in(if_block, 1);\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tif_block = create_if_block$a(ctx);\n\t\t\t\t\tif_block.c();\n\t\t\t\t\ttransition_in(if_block, 1);\n\t\t\t\t\tif_block.m(span1, t0);\n\t\t\t\t}\n\t\t\t} else if (if_block) {\n\t\t\t\tgroup_outros();\n\n\t\t\t\ttransition_out(if_block, 1, 1, () => {\n\t\t\t\t\tif_block = null;\n\t\t\t\t});\n\n\t\t\t\tcheck_outros();\n\t\t\t}\n\n\t\t\tif (!current || dirty & /*currentLabel*/ 256) set_data(t1, /*currentLabel*/ ctx[8]);\n\n\t\t\tif (!current || dirty & /*labelClass, hideLabel*/ 40 && span0_class_value !== (span0_class_value = arrayJoin([\n\t\t\t\t'PinturaButtonLabel',\n\t\t\t\t/*labelClass*/ ctx[3],\n\t\t\t\t/*hideLabel*/ ctx[5] && 'implicit'\n\t\t\t]))) {\n\t\t\t\tattr(span0, \"class\", span0_class_value);\n\t\t\t}\n\n\t\t\tif (!current || dirty & /*title, locale*/ 66 && span1_title_value !== (span1_title_value = localize(/*title*/ ctx[1], /*locale*/ ctx[6]))) {\n\t\t\t\tattr(span1, \"title\", span1_title_value);\n\t\t\t}\n\n\t\t\tif (!current || dirty & /*innerClass*/ 16 && span1_class_value !== (span1_class_value = arrayJoin(['PinturaButtonInner', /*innerClass*/ ctx[4]]))) {\n\t\t\t\tattr(span1, \"class\", span1_class_value);\n\t\t\t}\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(if_block);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(if_block);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(span1);\n\t\t\tif (if_block) if_block.d();\n\t\t}\n\t};\n}\n\n// (63:4) \nfunction create_details_slot$1(ctx) {\n\tlet div;\n\tlet slider;\n\tlet current;\n\tlet mounted;\n\tlet dispose;\n\n\tconst slider_spread_levels = [\n\t\t/*$$restProps*/ ctx[11],\n\t\t{ value: /*value*/ ctx[7] },\n\t\t{ onchange: /*handleChangeValue*/ ctx[10] }\n\t];\n\n\tlet slider_props = {};\n\n\tfor (let i = 0; i < slider_spread_levels.length; i += 1) {\n\t\tslider_props = assign(slider_props, slider_spread_levels[i]);\n\t}\n\n\tslider = new Slider({ props: slider_props });\n\n\treturn {\n\t\tc() {\n\t\t\tdiv = element(\"div\");\n\t\t\tcreate_component(slider.$$.fragment);\n\t\t\tattr(div, \"slot\", \"details\");\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, div, anchor);\n\t\t\tmount_component(slider, div, null);\n\t\t\tcurrent = true;\n\n\t\t\tif (!mounted) {\n\t\t\t\tdispose = listen(div, \"keydown\", /*handleKeydown*/ ctx[9]);\n\t\t\t\tmounted = true;\n\t\t\t}\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tconst slider_changes = (dirty & /*$$restProps, value, handleChangeValue*/ 3200)\n\t\t\t? get_spread_update(slider_spread_levels, [\n\t\t\t\t\tdirty & /*$$restProps*/ 2048 && get_spread_object(/*$$restProps*/ ctx[11]),\n\t\t\t\t\tdirty & /*value*/ 128 && { value: /*value*/ ctx[7] },\n\t\t\t\t\tdirty & /*handleChangeValue*/ 1024 && { onchange: /*handleChangeValue*/ ctx[10] }\n\t\t\t\t])\n\t\t\t: {};\n\n\t\t\tslider.$set(slider_changes);\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(slider.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(slider.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(div);\n\t\t\tdestroy_component(slider);\n\t\t\tmounted = false;\n\t\t\tdispose();\n\t\t}\n\t};\n}\n\nfunction create_fragment$z(ctx) {\n\tlet panel;\n\tlet current;\n\n\tpanel = new Panel({\n\t\t\tprops: {\n\t\t\t\tpanelClass: \"PinturaSliderPanel\",\n\t\t\t\tbuttonClass: arrayJoin([\n\t\t\t\t\t'PinturaSliderButton',\n\t\t\t\t\t/*klass*/ ctx[0],\n\t\t\t\t\t/*hideLabel*/ ctx[5] && 'PinturaSliderIconOnly'\n\t\t\t\t]),\n\t\t\t\t$$slots: {\n\t\t\t\t\tdetails: [create_details_slot$1],\n\t\t\t\t\tlabel: [create_label_slot$1]\n\t\t\t\t},\n\t\t\t\t$$scope: { ctx }\n\t\t\t}\n\t\t});\n\n\treturn {\n\t\tc() {\n\t\t\tcreate_component(panel.$$.fragment);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tmount_component(panel, target, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, [dirty]) {\n\t\t\tconst panel_changes = {};\n\n\t\t\tif (dirty & /*klass, hideLabel*/ 33) panel_changes.buttonClass = arrayJoin([\n\t\t\t\t'PinturaSliderButton',\n\t\t\t\t/*klass*/ ctx[0],\n\t\t\t\t/*hideLabel*/ ctx[5] && 'PinturaSliderIconOnly'\n\t\t\t]);\n\n\t\t\tif (dirty & /*$$scope, $$restProps, value, title, locale, innerClass, labelClass, hideLabel, currentLabel, icon*/ 526846) {\n\t\t\t\tpanel_changes.$$scope = { dirty, ctx };\n\t\t\t}\n\n\t\t\tpanel.$set(panel_changes);\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(panel.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(panel.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tdestroy_component(panel, detaching);\n\t\t}\n\t};\n}\n\nfunction instance$A($$self, $$props, $$invalidate) {\n\tconst omit_props_names = [\n\t\t\"class\",\"title\",\"label\",\"icon\",\"labelClass\",\"innerClass\",\"hideLabel\",\"locale\",\"value\",\"onchange\"\n\t];\n\n\tlet $$restProps = compute_rest_props($$props, omit_props_names);\n\tlet { class: klass = undefined } = $$props;\n\tlet { title = undefined } = $$props;\n\tlet { label = Math.round } = $$props;\n\tlet { icon = undefined } = $$props;\n\tlet { labelClass = undefined } = $$props;\n\tlet { innerClass = undefined } = $$props;\n\tlet { hideLabel = false } = $$props;\n\tlet { locale = undefined } = $$props;\n\tlet { value = undefined } = $$props;\n\tlet { onchange = noop$1 } = $$props;\n\tconst { min, max, getValue = passthrough } = $$restProps;\n\tlet currentLabel;\n\n\tconst handleKeydown = e => {\n\t\t// don't allow tabbing ([tab] is also blocked in normal <select>)\n\t\tif ((/tab/i).test(e.key)) e.preventDefault();\n\t};\n\n\tconst getLabel = value => isFunction(label)\n\t? label(getValue(value), min, max)\n\t: label;\n\n\tconst handleChangeValue = value => {\n\t\tsyncLabel(value);\n\t\tonchange(value);\n\t};\n\n\tconst syncLabel = value => $$invalidate(8, currentLabel = getLabel(value));\n\n\t$$self.$$set = $$new_props => {\n\t\t$$props = assign(assign({}, $$props), exclude_internal_props($$new_props));\n\t\t$$invalidate(11, $$restProps = compute_rest_props($$props, omit_props_names));\n\t\tif ('class' in $$new_props) $$invalidate(0, klass = $$new_props.class);\n\t\tif ('title' in $$new_props) $$invalidate(1, title = $$new_props.title);\n\t\tif ('label' in $$new_props) $$invalidate(12, label = $$new_props.label);\n\t\tif ('icon' in $$new_props) $$invalidate(2, icon = $$new_props.icon);\n\t\tif ('labelClass' in $$new_props) $$invalidate(3, labelClass = $$new_props.labelClass);\n\t\tif ('innerClass' in $$new_props) $$invalidate(4, innerClass = $$new_props.innerClass);\n\t\tif ('hideLabel' in $$new_props) $$invalidate(5, hideLabel = $$new_props.hideLabel);\n\t\tif ('locale' in $$new_props) $$invalidate(6, locale = $$new_props.locale);\n\t\tif ('value' in $$new_props) $$invalidate(7, value = $$new_props.value);\n\t\tif ('onchange' in $$new_props) $$invalidate(13, onchange = $$new_props.onchange);\n\t};\n\n\t$$self.$$.update = () => {\n\t\tif ($$self.$$.dirty & /*value, label*/ 4224) {\n\t\t\tsyncLabel(value);\n\t\t}\n\t};\n\n\treturn [\n\t\tklass,\n\t\ttitle,\n\t\ticon,\n\t\tlabelClass,\n\t\tinnerClass,\n\t\thideLabel,\n\t\tlocale,\n\t\tvalue,\n\t\tcurrentLabel,\n\t\thandleKeydown,\n\t\thandleChangeValue,\n\t\t$$restProps,\n\t\tlabel,\n\t\tonchange\n\t];\n}\n\nclass ToggleSlider extends SvelteComponent {\n\tconstructor(options) {\n\t\tsuper();\n\n\t\tinit(this, options, instance$A, create_fragment$z, safe_not_equal, {\n\t\t\tclass: 0,\n\t\t\ttitle: 1,\n\t\t\tlabel: 12,\n\t\t\ticon: 2,\n\t\t\tlabelClass: 3,\n\t\t\tinnerClass: 4,\n\t\t\thideLabel: 5,\n\t\t\tlocale: 6,\n\t\t\tvalue: 7,\n\t\t\tonchange: 13\n\t\t});\n\t}\n}\n\n/* src/core/ui/components/DynamicComponentTree.svelte generated by Svelte v3.52.0 */\n\nfunction get_each_context$6(ctx, list, i) {\n\tconst child_ctx = ctx.slice();\n\tchild_ctx[9] = list[i][0];\n\tchild_ctx[0] = list[i][1];\n\tchild_ctx[10] = list[i][2];\n\tchild_ctx[2] = list[i][3];\n\treturn child_ctx;\n}\n\n// (59:4) {:else}\nfunction create_else_block$3(ctx) {\n\tlet switch_instance;\n\tlet switch_instance_anchor;\n\tlet current;\n\tconst switch_instance_spread_levels = [/*props*/ ctx[10]];\n\tvar switch_value = /*ComponentMap*/ ctx[3][/*node*/ ctx[9]] || /*node*/ ctx[9];\n\n\tfunction switch_props(ctx) {\n\t\tlet switch_instance_props = {};\n\n\t\tfor (let i = 0; i < switch_instance_spread_levels.length; i += 1) {\n\t\t\tswitch_instance_props = assign(switch_instance_props, switch_instance_spread_levels[i]);\n\t\t}\n\n\t\treturn { props: switch_instance_props };\n\t}\n\n\tif (switch_value) {\n\t\tswitch_instance = construct_svelte_component(switch_value, switch_props());\n\t}\n\n\treturn {\n\t\tc() {\n\t\t\tif (switch_instance) create_component(switch_instance.$$.fragment);\n\t\t\tswitch_instance_anchor = empty();\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tif (switch_instance) mount_component(switch_instance, target, anchor);\n\t\t\tinsert(target, switch_instance_anchor, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tconst switch_instance_changes = (dirty & /*children*/ 4)\n\t\t\t? get_spread_update(switch_instance_spread_levels, [get_spread_object(/*props*/ ctx[10])])\n\t\t\t: {};\n\n\t\t\tif (switch_value !== (switch_value = /*ComponentMap*/ ctx[3][/*node*/ ctx[9]] || /*node*/ ctx[9])) {\n\t\t\t\tif (switch_instance) {\n\t\t\t\t\tgroup_outros();\n\t\t\t\t\tconst old_component = switch_instance;\n\n\t\t\t\t\ttransition_out(old_component.$$.fragment, 1, 0, () => {\n\t\t\t\t\t\tdestroy_component(old_component, 1);\n\t\t\t\t\t});\n\n\t\t\t\t\tcheck_outros();\n\t\t\t\t}\n\n\t\t\t\tif (switch_value) {\n\t\t\t\t\tswitch_instance = construct_svelte_component(switch_value, switch_props());\n\t\t\t\t\tcreate_component(switch_instance.$$.fragment);\n\t\t\t\t\ttransition_in(switch_instance.$$.fragment, 1);\n\t\t\t\t\tmount_component(switch_instance, switch_instance_anchor.parentNode, switch_instance_anchor);\n\t\t\t\t} else {\n\t\t\t\t\tswitch_instance = null;\n\t\t\t\t}\n\t\t\t} else if (switch_value) {\n\t\t\t\tswitch_instance.$set(switch_instance_changes);\n\t\t\t}\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\tif (switch_instance) transition_in(switch_instance.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\tif (switch_instance) transition_out(switch_instance.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(switch_instance_anchor);\n\t\t\tif (switch_instance) destroy_component(switch_instance, detaching);\n\t\t}\n\t};\n}\n\n// (49:4) {#if !isComponent(node)}\nfunction create_if_block$9(ctx) {\n\tlet tag;\n\tlet current;\n\n\ttag = new Tag({\n\t\t\tprops: {\n\t\t\t\tname: /*node*/ ctx[9],\n\t\t\t\tattributes: /*getElementAttributes*/ ctx[4](/*props*/ ctx[10]),\n\t\t\t\t$$slots: { default: [create_default_slot$c] },\n\t\t\t\t$$scope: { ctx }\n\t\t\t}\n\t\t});\n\n\treturn {\n\t\tc() {\n\t\t\tcreate_component(tag.$$.fragment);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tmount_component(tag, target, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tconst tag_changes = {};\n\t\t\tif (dirty & /*children*/ 4) tag_changes.name = /*node*/ ctx[9];\n\t\t\tif (dirty & /*children*/ 4) tag_changes.attributes = /*getElementAttributes*/ ctx[4](/*props*/ ctx[10]);\n\n\t\t\tif (dirty & /*$$scope, children*/ 8196) {\n\t\t\t\ttag_changes.$$scope = { dirty, ctx };\n\t\t\t}\n\n\t\t\ttag.$set(tag_changes);\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(tag.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(tag.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tdestroy_component(tag, detaching);\n\t\t}\n\t};\n}\n\n// (55:38) \nfunction create_if_block_3$6(ctx) {\n\tlet html_tag;\n\tlet raw_value = /*props*/ ctx[10].innerHTML + \"\";\n\tlet html_anchor;\n\n\treturn {\n\t\tc() {\n\t\t\thtml_tag = new HtmlTag(false);\n\t\t\thtml_anchor = empty();\n\t\t\thtml_tag.a = html_anchor;\n\t\t},\n\t\tm(target, anchor) {\n\t\t\thtml_tag.m(raw_value, target, anchor);\n\t\t\tinsert(target, html_anchor, anchor);\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tif (dirty & /*children*/ 4 && raw_value !== (raw_value = /*props*/ ctx[10].innerHTML + \"\")) html_tag.p(raw_value);\n\t\t},\n\t\ti: noop,\n\t\to: noop,\n\t\td(detaching) {\n\t\t\tif (detaching) detach(html_anchor);\n\t\t\tif (detaching) html_tag.d();\n\t\t}\n\t};\n}\n\n// (53:40) \nfunction create_if_block_2$7(ctx) {\n\tlet t_value = /*props*/ ctx[10].textContent + \"\";\n\tlet t;\n\n\treturn {\n\t\tc() {\n\t\t\tt = text(t_value);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, t, anchor);\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tif (dirty & /*children*/ 4 && t_value !== (t_value = /*props*/ ctx[10].textContent + \"\")) set_data(t, t_value);\n\t\t},\n\t\ti: noop,\n\t\to: noop,\n\t\td(detaching) {\n\t\t\tif (detaching) detach(t);\n\t\t}\n\t};\n}\n\n// (51:12) {#if children && children.length}\nfunction create_if_block_1$8(ctx) {\n\tlet dynamiccomponenttree;\n\tlet current;\n\n\tdynamiccomponenttree = new DynamicComponentTree_1({\n\t\t\tprops: {\n\t\t\t\titems: /*children*/ ctx[2],\n\t\t\t\tdiscardEmptyItems: true\n\t\t\t}\n\t\t});\n\n\treturn {\n\t\tc() {\n\t\t\tcreate_component(dynamiccomponenttree.$$.fragment);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tmount_component(dynamiccomponenttree, target, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tconst dynamiccomponenttree_changes = {};\n\t\t\tif (dirty & /*children*/ 4) dynamiccomponenttree_changes.items = /*children*/ ctx[2];\n\t\t\tdynamiccomponenttree.$set(dynamiccomponenttree_changes);\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(dynamiccomponenttree.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(dynamiccomponenttree.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tdestroy_component(dynamiccomponenttree, detaching);\n\t\t}\n\t};\n}\n\n// (50:8) <Tag name={node} attributes={getElementAttributes(props)}>\nfunction create_default_slot$c(ctx) {\n\tlet current_block_type_index;\n\tlet if_block;\n\tlet t;\n\tlet current;\n\tconst if_block_creators = [create_if_block_1$8, create_if_block_2$7, create_if_block_3$6];\n\tconst if_blocks = [];\n\n\tfunction select_block_type_1(ctx, dirty) {\n\t\tif (/*children*/ ctx[2] && /*children*/ ctx[2].length) return 0;\n\t\tif (/*props*/ ctx[10].textContent) return 1;\n\t\tif (/*props*/ ctx[10].innerHTML) return 2;\n\t\treturn -1;\n\t}\n\n\tif (~(current_block_type_index = select_block_type_1(ctx))) {\n\t\tif_block = if_blocks[current_block_type_index] = if_block_creators[current_block_type_index](ctx);\n\t}\n\n\treturn {\n\t\tc() {\n\t\t\tif (if_block) if_block.c();\n\t\t\tt = space();\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tif (~current_block_type_index) {\n\t\t\t\tif_blocks[current_block_type_index].m(target, anchor);\n\t\t\t}\n\n\t\t\tinsert(target, t, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tlet previous_block_index = current_block_type_index;\n\t\t\tcurrent_block_type_index = select_block_type_1(ctx);\n\n\t\t\tif (current_block_type_index === previous_block_index) {\n\t\t\t\tif (~current_block_type_index) {\n\t\t\t\t\tif_blocks[current_block_type_index].p(ctx, dirty);\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\tif (if_block) {\n\t\t\t\t\tgroup_outros();\n\n\t\t\t\t\ttransition_out(if_blocks[previous_block_index], 1, 1, () => {\n\t\t\t\t\t\tif_blocks[previous_block_index] = null;\n\t\t\t\t\t});\n\n\t\t\t\t\tcheck_outros();\n\t\t\t\t}\n\n\t\t\t\tif (~current_block_type_index) {\n\t\t\t\t\tif_block = if_blocks[current_block_type_index];\n\n\t\t\t\t\tif (!if_block) {\n\t\t\t\t\t\tif_block = if_blocks[current_block_type_index] = if_block_creators[current_block_type_index](ctx);\n\t\t\t\t\t\tif_block.c();\n\t\t\t\t\t} else {\n\t\t\t\t\t\tif_block.p(ctx, dirty);\n\t\t\t\t\t}\n\n\t\t\t\t\ttransition_in(if_block, 1);\n\t\t\t\t\tif_block.m(t.parentNode, t);\n\t\t\t\t} else {\n\t\t\t\t\tif_block = null;\n\t\t\t\t}\n\t\t\t}\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(if_block);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(if_block);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (~current_block_type_index) {\n\t\t\t\tif_blocks[current_block_type_index].d(detaching);\n\t\t\t}\n\n\t\t\tif (detaching) detach(t);\n\t\t}\n\t};\n}\n\n// (48:0) {#each children as [node, key, props, children] (key + treeUniqueKey)}\nfunction create_each_block$6(key_2, ctx) {\n\tlet first;\n\tlet show_if;\n\tlet current_block_type_index;\n\tlet if_block;\n\tlet if_block_anchor;\n\tlet current;\n\tconst if_block_creators = [create_if_block$9, create_else_block$3];\n\tconst if_blocks = [];\n\n\tfunction select_block_type(ctx, dirty) {\n\t\tif (dirty & /*children*/ 4) show_if = null;\n\t\tif (show_if == null) show_if = !!!/*isComponent*/ ctx[5](/*node*/ ctx[9]);\n\t\tif (show_if) return 0;\n\t\treturn 1;\n\t}\n\n\tcurrent_block_type_index = select_block_type(ctx, -1);\n\tif_block = if_blocks[current_block_type_index] = if_block_creators[current_block_type_index](ctx);\n\n\treturn {\n\t\tkey: key_2,\n\t\tfirst: null,\n\t\tc() {\n\t\t\tfirst = empty();\n\t\t\tif_block.c();\n\t\t\tif_block_anchor = empty();\n\t\t\tthis.first = first;\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, first, anchor);\n\t\t\tif_blocks[current_block_type_index].m(target, anchor);\n\t\t\tinsert(target, if_block_anchor, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(new_ctx, dirty) {\n\t\t\tctx = new_ctx;\n\t\t\tlet previous_block_index = current_block_type_index;\n\t\t\tcurrent_block_type_index = select_block_type(ctx, dirty);\n\n\t\t\tif (current_block_type_index === previous_block_index) {\n\t\t\t\tif_blocks[current_block_type_index].p(ctx, dirty);\n\t\t\t} else {\n\t\t\t\tgroup_outros();\n\n\t\t\t\ttransition_out(if_blocks[previous_block_index], 1, 1, () => {\n\t\t\t\t\tif_blocks[previous_block_index] = null;\n\t\t\t\t});\n\n\t\t\t\tcheck_outros();\n\t\t\t\tif_block = if_blocks[current_block_type_index];\n\n\t\t\t\tif (!if_block) {\n\t\t\t\t\tif_block = if_blocks[current_block_type_index] = if_block_creators[current_block_type_index](ctx);\n\t\t\t\t\tif_block.c();\n\t\t\t\t} else {\n\t\t\t\t\tif_block.p(ctx, dirty);\n\t\t\t\t}\n\n\t\t\t\ttransition_in(if_block, 1);\n\t\t\t\tif_block.m(if_block_anchor.parentNode, if_block_anchor);\n\t\t\t}\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(if_block);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(if_block);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(first);\n\t\t\tif_blocks[current_block_type_index].d(detaching);\n\t\t\tif (detaching) detach(if_block_anchor);\n\t\t}\n\t};\n}\n\nfunction create_fragment$y(ctx) {\n\tlet each_blocks = [];\n\tlet each_1_lookup = new Map();\n\tlet each_1_anchor;\n\tlet current;\n\tlet each_value = /*children*/ ctx[2];\n\tconst get_key = ctx => /*key*/ ctx[0] + /*treeUniqueKey*/ ctx[1];\n\n\tfor (let i = 0; i < each_value.length; i += 1) {\n\t\tlet child_ctx = get_each_context$6(ctx, each_value, i);\n\t\tlet key = get_key(child_ctx);\n\t\teach_1_lookup.set(key, each_blocks[i] = create_each_block$6(key, child_ctx));\n\t}\n\n\treturn {\n\t\tc() {\n\t\t\tfor (let i = 0; i < each_blocks.length; i += 1) {\n\t\t\t\teach_blocks[i].c();\n\t\t\t}\n\n\t\t\teach_1_anchor = empty();\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tfor (let i = 0; i < each_blocks.length; i += 1) {\n\t\t\t\teach_blocks[i].m(target, anchor);\n\t\t\t}\n\n\t\t\tinsert(target, each_1_anchor, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, [dirty]) {\n\t\t\tif (dirty & /*children, getElementAttributes, isComponent, ComponentMap, treeUniqueKey*/ 62) {\n\t\t\t\teach_value = /*children*/ ctx[2];\n\t\t\t\tgroup_outros();\n\t\t\t\teach_blocks = update_keyed_each(each_blocks, dirty, get_key, 1, ctx, each_value, each_1_lookup, each_1_anchor.parentNode, outro_and_destroy_block, create_each_block$6, each_1_anchor, get_each_context$6);\n\t\t\t\tcheck_outros();\n\t\t\t}\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\n\t\t\tfor (let i = 0; i < each_value.length; i += 1) {\n\t\t\t\ttransition_in(each_blocks[i]);\n\t\t\t}\n\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\tfor (let i = 0; i < each_blocks.length; i += 1) {\n\t\t\t\ttransition_out(each_blocks[i]);\n\t\t\t}\n\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tfor (let i = 0; i < each_blocks.length; i += 1) {\n\t\t\t\teach_blocks[i].d(detaching);\n\t\t\t}\n\n\t\t\tif (detaching) detach(each_1_anchor);\n\t\t}\n\t};\n}\n\nfunction instance$z($$self, $$props, $$invalidate) {\n\tlet treeUniqueKey;\n\tlet children;\n\tlet { items } = $$props;\n\tlet { discardEmptyItems = true } = $$props;\n\tlet { key = '' } = $$props;\n\n\tconst ComponentMap = {\n\t\tButton,\n\t\tDropdown,\n\t\tPanel: DynamicPanel,\n\t\tSlider: ToggleSlider\n\t};\n\n\tconst getElementAttributes = (props = {}) => {\n\t\tconst { textContent, innerHTML, ...attributes } = props;\n\t\treturn attributes;\n\t};\n\n\tconst isComponent = node => !isString(node) || !!ComponentMap[node];\n\n\tconst shouldRenderItem = item => {\n\t\t// don't render falsy items\n\t\tif (!item) return false;\n\n\t\t// get relevant props\n\t\tconst [node, ,props, children = []] = item;\n\n\t\t// if item is component, we always render it\n\t\tif (isComponent(node)) return true;\n\n\t\t// item is tag, we have to check if it has content\n\t\treturn children.some(shouldRenderItem) || props.textContent || props.innerHTML;\n\t};\n\n\t$$self.$$set = $$props => {\n\t\tif ('items' in $$props) $$invalidate(6, items = $$props.items);\n\t\tif ('discardEmptyItems' in $$props) $$invalidate(7, discardEmptyItems = $$props.discardEmptyItems);\n\t\tif ('key' in $$props) $$invalidate(0, key = $$props.key);\n\t};\n\n\t$$self.$$.update = () => {\n\t\tif ($$self.$$.dirty & /*key*/ 1) {\n\t\t\t$$invalidate(1, treeUniqueKey = key);\n\t\t}\n\n\t\tif ($$self.$$.dirty & /*items, discardEmptyItems*/ 192) {\n\t\t\t$$invalidate(2, children = (items && discardEmptyItems\n\t\t\t? items.filter(shouldRenderItem)\n\t\t\t: items) || []);\n\t\t}\n\t};\n\n\treturn [\n\t\tkey,\n\t\ttreeUniqueKey,\n\t\tchildren,\n\t\tComponentMap,\n\t\tgetElementAttributes,\n\t\tisComponent,\n\t\titems,\n\t\tdiscardEmptyItems\n\t];\n}\n\nclass DynamicComponentTree_1 extends SvelteComponent {\n\tconstructor(options) {\n\t\tsuper();\n\t\tinit(this, options, instance$z, create_fragment$y, safe_not_equal, { items: 6, discardEmptyItems: 7, key: 0 });\n\t}\n}\n\n// these are derived stores, we can filter them out\nconst ImagePropsDerived = ['aspectRatio', 'isRotatedSideways', 'flip', 'cropSize'];\n// map descriptors to props\nconst ImageStoreProps = ImageStorePropDescriptors.map(([name]) => name).filter((name) => !ImagePropsDerived.includes(name));\nconst proxy = function (get, set, update) {\n    let subscribers = [];\n    return {\n        set,\n        update,\n        publish: (value) => {\n            subscribers.forEach((cb) => cb(value));\n        },\n        subscribe: (cb) => {\n            subscribers.push(cb);\n            get(cb);\n            return () => {\n                subscribers = subscribers.filter((item) => item !== cb);\n            };\n        },\n    };\n};\nvar createImageProxy = () => {\n    let unsubs;\n    let image;\n    const proxyStores = ImageStoreProps.reduce((prev, curr) => {\n        prev[curr] = proxy(\n        // getter\n        (cb) => {\n            // subscribe\n            if (!image)\n                return cb();\n            const unsub = image.stores[curr].subscribe(cb);\n            unsub();\n        }, \n        // setter\n        (value) => {\n            // set value on actual store if is defined\n            if (!image)\n                return;\n            image.stores[curr].set(value);\n        }, \n        // updater\n        (cb) => {\n            if (!image)\n                return;\n            image.stores[curr].update(cb);\n        });\n        return prev;\n    }, {});\n    const update = (newImage) => {\n        image = newImage;\n        if (unsubs) {\n            // remove subscribers\n            unsubs.forEach((unsub) => unsub());\n            unsubs = undefined;\n        }\n        if (!newImage) {\n            // need to reset load state\n            proxyStores['file'].publish(undefined);\n            proxyStores['loadState'].publish(undefined);\n            return;\n        }\n        unsubs = ImageStoreProps.map((prop) => newImage.stores[prop].subscribe((value) => {\n            proxyStores[prop].publish(value);\n        }));\n    };\n    return {\n        update,\n        stores: proxyStores,\n        destroy: () => {\n            if (unsubs)\n                unsubs.forEach((unsub) => unsub());\n        },\n    };\n};\n\nvar createPingRouter = (route, cancel = true) => (e) => {\n    if (e.type !== 'ping')\n        return;\n    if (cancel)\n        e.stopPropagation();\n    route(e.detail.type, e.detail.data);\n};\n\nvar createPing = (type, data) => new CustomEvent('ping', {\n    detail: {\n        type,\n        data,\n    },\n    cancelable: true,\n    bubbles: true,\n});\n\nvar isTextarea = (element) => /textarea/i.test(element.nodeName);\n\nvar isTextInput = (node) => /date|email|number|search|text|url/.test(node.type);\n\nvar isTextField = (node) => isTextarea(node) || isTextInput(node) || node.isContentEditable;\n\nvar toKebabCase = (str, abbr) => {\n    return (abbr ? stringReplace(str, abbr) : str)\n        .replace(/([a-z])([A-Z])/g, '$1-$2')\n        .replace(/\\s+/g, '-')\n        .toLowerCase();\n};\n\nvar matchMedia$1 = (query, cb) => {\n    const mql = matchMedia(query);\n    mql.addListener(cb);\n    cb(mql);\n    return {\n        get matches() { return mql.matches; },\n        destroy: () => mql.removeListener(cb)\n    };\n};\n\nvar mediaQueryStore = (query, formatValue = passthrough) => {\n    const { subscribe, set } = writable(undefined);\n    const mm = matchMedia$1(query, ({ matches }) => set(formatValue(matches)));\n    return {\n        subscribe,\n        destroy: mm.destroy,\n    };\n};\n\nvar canPreventNavSwipe = () => {\n    // if not iOS we can't prevent swipe because it probably isn't a thing\n    if (!isIOS())\n        return false;\n    // extract version number\n    const matches = navigator.userAgent.match(/OS (\\d+)_(\\d+)_?(\\d+)?/i) || [];\n    const [, major, minor] = matches.map((v) => parseInt(v, 10) || 0);\n    // is atleast version 13.4+\n    return major > 13 || (major === 13 && minor >= 4);\n};\n\n// @ts-ignore\nvar historyCreate = (getState, setState) => {\n    // set up pub/sub for history object\n    const { sub, pub } = pubsub();\n    // current history state\n    const entries = [];\n    const index = writable(0);\n    const subs = [];\n    const updateSubs = () => subs.forEach((cb) => cb({ index: get_store_value(index), length: entries.length }));\n    const history = {\n        get index() {\n            return get_store_value(index);\n        },\n        set index(i) {\n            // validate new index\n            i = Number.isInteger(i) ? i : 0;\n            i = clamp(i, 0, entries.length - 1);\n            // remember\n            index.set(i);\n            setState(entries[history.index]);\n            // update subs\n            updateSubs();\n        },\n        get state() {\n            return entries[entries.length - 1];\n        },\n        length() {\n            return entries.length;\n        },\n        undo() {\n            const newIndex = history.index--;\n            pub('undo', newIndex);\n            return newIndex;\n        },\n        redo() {\n            const newIndex = history.index++;\n            pub('redo', history.index);\n            return newIndex;\n        },\n        revert() {\n            entries.length = 1; // retain first state\n            history.index = 0;\n            pub('revert');\n        },\n        write(state) {\n            // write history entry\n            if (state) {\n                setState({\n                    ...getState(),\n                    ...state,\n                });\n            }\n            const newState = getState();\n            const lastState = entries[entries.length - 1];\n            // don't update if new state isn't different\n            if (JSON.stringify(newState) === JSON.stringify(lastState))\n                return;\n            // reset length to current index\n            entries.length = history.index + 1;\n            // add new entry\n            entries.push(newState);\n            // move pointer to last added index\n            index.set(entries.length - 1);\n            updateSubs();\n            pub('writehistory');\n        },\n        set(state = {}) {\n            // set clears all entries\n            entries.length = 0;\n            history.index = 0;\n            // set new entries\n            const newStateEntries = !Array.isArray(state) ? [state] : state;\n            // add new entries\n            entries.push(...newStateEntries);\n            // move pointer to last added index\n            history.index = entries.length - 1;\n        },\n        get() {\n            return [...entries];\n        },\n        subscribe(cb) {\n            subs.push(cb);\n            cb({ index: history.index, length: entries.length });\n            return () => subs.splice(subs.indexOf(cb), 1);\n        },\n        on: sub,\n    };\n    return history;\n};\n\nvar imageBitmapToImageData = async (imageBitmap) => canvasToImageData(await imageDataToCanvas(imageBitmap));\n\nvar isVideoFile = (blob) => /video/.test(blob.type);\n\n// TODO: VIDEO cleanup?\nconst videoToImageData = (file) => new Promise((resolve, reject) => {\n    const video = h('video');\n    video.onseeked = () => {\n        const frame = h('canvas');\n        getVideoElementSize(video).then(({ width, height }) => {\n            frame.width = width;\n            frame.height = height;\n            const ctx = frame.getContext('2d', {\n                // we're going to read from this canvas, no need to hardware accelerate it\n                willReadFrequently: true,\n            });\n            const drawFrame = () => {\n                ctx.drawImage(video, 0, 0, frame.width, frame.height);\n                const imageData = ctx.getImageData(0, 0, frame.width, frame.height);\n                releaseCanvas(frame);\n                resolve(imageData);\n            };\n            // if we don't use setTimeout for safari sometimes it doesn't draw the frame\n            isSafari() ? setTimeout(drawFrame, 16) : drawFrame();\n        });\n    };\n    video.onloadeddata = () => {\n        // if we use onloadedmetadata safari doesn't render the frame\n        video.currentTime = 0;\n    };\n    video.onerror = (e) => {\n        console.error(e);\n        reject(video.error);\n    };\n    video.src = URL.createObjectURL(file);\n    video.load(); // needed to make video show up on iOS\n});\nvar blobToImageBitmap = (file, ImageOrienter, canvasMemoryLimit) => new Promise((resolve, reject) => {\n    (async () => {\n        if (isVideoFile(file))\n            resolve(await videoToImageData(file));\n        // get orientation of image, should return 1 for normal orientation\n        const orientation = await ImageOrienter.read(file);\n        // helper method to apply orientation fix if needed\n        const toImageData = (file) => blobToImageData(file, canvasMemoryLimit)\n            .then((imageData) => ImageOrienter.apply(imageData, orientation))\n            .then(resolve)\n            .catch(reject);\n        // if cannot create image bitmaps in worker\n        // Safari 15 cannot correctly apply orientation, also it will choke on very big images\n        // when trying to createImageBitmap in thread, so lets just do it on the main thread\n        // we'll ignore Safari and iOS for now\n        if (isSVGFile(file) || !canCreateImageBitmap() || isSafari() || isIOS())\n            return toImageData(file);\n        // create image bitmap in thread\n        let imageBitmap;\n        try {\n            imageBitmap = await thread((file, done) => createImageBitmap(file)\n                .then((bitmap) => done(null, bitmap))\n                .catch(done), [file]);\n        }\n        catch (err) {\n            // fails silently on purpose, we'll try to turn the blob into image data in the main thread\n            // console.error(err);\n        }\n        // no bitmap returned, something went wrong in `createImageBitmap` logic\n        if (!imageBitmap || !imageBitmap.width)\n            return toImageData(file);\n        // if the browser can't orient images, we need to correct the orientation now\n        if (!(await canOrientImages()))\n            return resolve(ImageOrienter.apply(imageBitmap, orientation));\n        // need to convert so oriented image can be used as WebGL texture\n        // converting ImageBitmap to <canvas> (and then optionally to image data) fixes a Chrome render bug where the\n        // ImageBitmap when used in WebGL doesn't render in the correct orientation\n        // https://bugs.chromium.org/p/chromium/issues/detail?id=1082451&q=orientation%20imagebitmap&can=2\n        if (isChrome() && orientation > 1)\n            return resolve(await imageBitmapToImageData(imageBitmap));\n        // yay we got our bitmap\n        resolve(imageBitmap);\n    })();\n});\n\nvar imageDataContain = (imageData, size) => new Promise(async (resolve) => {\n    if (imageData.width < size.width && imageData.height < size.height)\n        return resolve(imageData);\n    const scalar = Math.min(size.width / imageData.width, size.height / imageData.height);\n    // scale\n    const targetWidth = scalar * imageData.width;\n    const targetHeight = scalar * imageData.height;\n    const canvas = h('canvas', {\n        width: targetWidth,\n        height: targetHeight,\n    });\n    const ctx = canvas.getContext('2d', { willReadFrequently: true });\n    const data = isImageData(imageData)\n        ? (await imageDataToCanvas(imageData))\n        : imageData;\n    ctx.drawImage(data, 0, 0, targetWidth, targetHeight);\n    resolve(canvasToImageData(canvas));\n});\n\nvar hexToRGB = (str) => {\n    const [, q, w, e] = str.split('');\n    str = str.length === 4 ? `#${q}${q}${w}${w}${e}${e}` : str;\n    const [, r, g, b] = /^#?([a-f\\d]{2})([a-f\\d]{2})([a-f\\d]{2})$/i.exec(str);\n    return [r, g, b].map((v) => parseInt(v, 16) / 255);\n};\n\nvar colorStringToColorArray = (color) => {\n    color = color.trim();\n    // if rgba(128, 128, 128, .5)\n    if (/^rgba/.test(color)) {\n        return color\n            .substr(5)\n            .split(',')\n            .map(parseFloat)\n            .map((v, i) => v / (i === 3 ? 1 : 255));\n    }\n    // if rgb(128, 128, 128)\n    if (/^rgb/.test(color)) {\n        return color\n            .substr(4)\n            .split(',')\n            .map(parseFloat)\n            .map((v) => v / 255);\n    }\n    // if #777\n    if (/^#/.test(color)) {\n        return hexToRGB(color);\n    }\n    // is possibly 255, 0, 0\n    if (/[0-9]{1,3}\\s?,\\s?[0-9]{1,3}\\s?,\\s?[0-9]{1,3}/.test(color)) {\n        return color\n            .split(',')\n            .map((v) => parseInt(v, 10))\n            .map((v) => v / 255);\n    }\n    // undefined if no idea\n};\n\nlet result$3 = null;\nvar supportsWebGL = () => {\n    if (result$3 === null) {\n        let canvas = h('canvas');\n        result$3 = !!getWebGLContext(canvas);\n        releaseCanvas(canvas);\n        canvas = undefined;\n    }\n    return result$3;\n};\n\nvar isBitmap = (file) => /^image/.test(file.type) && !/svg/.test(file.type);\n\n// @ts-ignore\nconst COLOR_MATRIX_IDENTITY = [1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0];\nconst SPRING_PROPS = { precision: 0.0001 };\nconst SPRING_PROPS_FRACTION = { precision: SPRING_PROPS.precision * 0.01 };\nvar createImage = (data, size, options = {}) => {\n    const { resize: resizeInitial = 1, opacity: opacityInitial = 0 } = options;\n    const stores = {\n        // interface\n        opacity: [spring(opacityInitial, { ...SPRING_PROPS, stiffness: 0.1 }), passthrough],\n        resize: [spring(resizeInitial, { ...SPRING_PROPS, stiffness: 0.1 }), passthrough],\n        // transforms\n        translation: [spring(undefined, SPRING_PROPS), passthrough],\n        rotation: [spring(undefined, SPRING_PROPS_FRACTION), passthrough],\n        origin: [spring(undefined, SPRING_PROPS), passthrough],\n        scale: [spring(undefined, SPRING_PROPS_FRACTION), passthrough],\n        gamma: [spring(undefined, SPRING_PROPS_FRACTION), (v) => v || 1],\n        vignette: [spring(undefined, SPRING_PROPS_FRACTION), (v) => v || 0],\n        colorMatrix: [\n            spring([...COLOR_MATRIX_IDENTITY], SPRING_PROPS),\n            (v) => v || [...COLOR_MATRIX_IDENTITY],\n        ],\n        convolutionMatrix: [writable(undefined), (v) => (v && v.clarity) || undefined],\n        backgroundColor: [\n            spring(undefined, SPRING_PROPS),\n            (newValue, currentValue, setHard) => {\n                if (!Array.isArray(newValue))\n                    return undefined;\n                // makes sure\n                if (Array.isArray(currentValue)) {\n                    const newColor = [...newValue];\n                    // if going from transparent to opaque\n                    if (currentValue[3] === 0) {\n                        newColor[3] = 0;\n                        setHard(newColor);\n                    }\n                    // if going from opaque to transparent\n                    else if (newColor[3] === 0) {\n                        newValue = [...currentValue];\n                        newValue[3] = 0;\n                    }\n                }\n                return newValue;\n            },\n        ],\n        backgroundImage: [writable(undefined), passthrough],\n    };\n    // shortcut to quickly get all stores from the stores object\n    const storeEntries = Object.entries(stores).map(([key, value]) => [key, value[0]]);\n    const storeArray = storeEntries.map(([, store]) => store);\n    // create quick accessors to store value setter functions, best to do ones on creation instead of on each update\n    const storeSetters = Object.entries(stores).reduce((prev, [key, value]) => {\n        const [store, getValue] = value;\n        prev[key] = (value, opts) => store.set(getValue(value, stateCache[key], (value) => {\n            store.set(value, { hard: true });\n        }), opts);\n        return prev;\n    }, {});\n    // holds current derived state so can be easily read from from the outside\n    let stateCache;\n    //\n    const state = derived(storeArray, (storeValues) => {\n        // get new state\n        stateCache = storeValues.reduce((calculatedState, value, index) => {\n            const key = storeEntries[index][0];\n            calculatedState[key] = value;\n            return calculatedState;\n        }, {});\n        // set base image props\n        stateCache.data = data;\n        stateCache.size = size;\n        // apply resize modifier (is at index 1 of storeValues)\n        stateCache.scale *= storeValues[1];\n        return stateCache;\n    });\n    state.get = () => stateCache;\n    state.set = (props, animate) => {\n        const opts = { hard: !animate };\n        Object.entries(props).forEach(([key, value]) => {\n            if (!storeSetters[key])\n                return;\n            storeSetters[key](value, opts);\n        });\n    };\n    return state;\n};\n\nvar storeList = () => {\n    const stores = [];\n    const subscribers = [];\n    const state = [];\n    const storeDidUpdate = (store, value) => {\n        const index = stores.indexOf(store);\n        if (index < 0)\n            return;\n        state[index] = value;\n        triggerUpdate();\n    };\n    const triggerUpdate = () => {\n        subscribers.forEach((fn) => fn(state));\n    };\n    const addStore = (store) => {\n        store.unsub = store.subscribe((value) => storeDidUpdate(store, value));\n        triggerUpdate();\n    };\n    const unshift = (store) => {\n        stores.unshift(store);\n        addStore(store);\n    };\n    const push = (store) => {\n        stores.push(store);\n        addStore(store);\n    };\n    const clear = () => {\n        stores.forEach((store) => store.unsub());\n        stores.length = 0;\n        state.length = 0;\n    };\n    const remove = (store) => {\n        store.unsub();\n        const index = stores.indexOf(store);\n        stores.splice(index, 1);\n        state.splice(index, 1);\n    };\n    const subscribe = (fn) => {\n        subscribers.push(fn);\n        fn(state);\n        return () => {\n            subscribers.splice(subscribers.indexOf(fn), 1);\n        };\n    };\n    const forEach = (fn) => stores.forEach(fn);\n    const filter = (fn) => stores.filter(fn);\n    const get = (index) => stores[index];\n    return {\n        get length() {\n            return stores.length;\n        },\n        clear,\n        unshift,\n        get,\n        push,\n        remove,\n        forEach,\n        filter,\n        subscribe,\n    };\n};\n\nvar isDarkColor = (color) => color[0] < 0.25 && color[1] < 0.25 && color[2] < 0.25;\n\nvar browse = (options = {}) => new Promise((resolve) => {\n    // can now pass options\n    const { accept = 'image/*' } = options;\n    // create file input box\n    const fileInput = h('input', {\n        style: 'position:absolute;visibility:hidden;width:0;height:0;',\n        type: 'file',\n        accept,\n    });\n    // listen for file changes on input\n    const handleFileChange = () => {\n        // get file, if one was selected\n        const [file] = fileInput.files;\n        // clean up\n        fileInput.parentNode && fileInput.remove();\n        fileInput.removeEventListener('change', handleFileChange);\n        // done\n        resolve(file);\n    };\n    // listen for changes\n    fileInput.addEventListener('change', handleFileChange);\n    // need to attach to DOM for Safari 15+\n    isIOS() && document.body.append(fileInput);\n    // open browse window\n    fileInput.click();\n    // there is no way to reliably detect \"cancel\" event on browsers so we'll leave it be for now\n});\n\nvar runSafe = (cb) => {\n    try {\n        return cb();\n    }\n    catch (err) {\n        console.error(err);\n    }\n};\n\nvar getRangeCenter = ([min, max]) => min + (max - min) * 0.5;\n\nvar toPercentageNumber = (v) => Math.round(v * 100);\n\nvar getEventPositionInViewport = (e) => vectorCreate(e.clientX, e.clientY);\n\nvar getEventPositionInStage = (e, viewOffset, stageOffset) => {\n    const positionInViewport = getEventPositionInViewport(e);\n    return vectorSubtract(vectorSubtract(positionInViewport, viewOffset), stageOffset);\n};\n\n/* src/core/ui/components/CanvasPanAndZoom.svelte generated by Svelte v3.52.0 */\n\nfunction instance$y($$self, $$props, $$invalidate) {\n\tlet canZoom;\n\tlet canPan;\n\tlet imageFitsOnStage;\n\tlet zoomLevels;\n\tlet zoomMin;\n\tlet zoomMax;\n\tlet zoomLevelSelectedIndex;\n\tlet zoomLevelCurrent;\n\tlet zoomLevelLabel;\n\tlet $imageSelectionZoom;\n\tlet $imageSelectionPan;\n\tlet $imageSelectionStageFitScalar;\n\tlet $imagePreviewUpscale;\n\tlet $stageRect;\n\tlet $rootRect;\n\tlet $imageSelectionRect;\n\tlet $isInteracting;\n\tlet $stageScalar;\n\tlet $isAnimated;\n\tlet $imageSelectionStoredState;\n\tlet { root } = $$props;\n\tlet { locale } = $$props;\n\tlet { stores } = $$props;\n\tlet { allowPan = true } = $$props;\n\tlet { allowZoom = true } = $$props;\n\tlet { enablePan = true } = $$props;\n\tlet { enableZoom = true } = $$props;\n\tlet { enableZoomControls = enableZoom } = $$props;\n\tlet { enableZoomInput = true } = $$props;\n\tlet { enablePanInput = true } = $$props;\n\tlet { enablePanLimit = true } = $$props;\n\tlet { panLimitGutterScalar = 0 } = $$props;\n\tlet { zoomOptions = [0.25, 0.5, 1, 1.25, 1.5, 2, 3, 4, 6, 8, 16] } = $$props;\n\tlet { zoomAdjustStep = 0.25 } = $$props;\n\tlet { zoomAdjustFactor = 0.1 } = $$props;\n\tlet { zoomAdjustWheelFactor = 1 } = $$props;\n\tlet { elasticity = 5 } = $$props;\n\tlet { imageSelectionRectCentered = undefined } = $$props;\n\tlet { imageSelectionRectScalar = undefined } = $$props;\n\tlet { zoomLevel = null } = $$props;\n\tlet { zoomControls } = $$props;\n\tlet { zoomMultiTouching = false } = $$props;\n\tconst { isAnimated, isInteracting, rootRect, stageRect, stageScalar, imageSelectionPan, imageSelectionZoom, imageSelectionStageFitScalar, imageSelectionRect, imageSelectionStoredState, imagePreviewUpscale } = stores;\n\tcomponent_subscribe($$self, isAnimated, value => $$invalidate(68, $isAnimated = value));\n\tcomponent_subscribe($$self, isInteracting, value => $$invalidate(67, $isInteracting = value));\n\tcomponent_subscribe($$self, rootRect, value => $$invalidate(65, $rootRect = value));\n\tcomponent_subscribe($$self, stageRect, value => $$invalidate(64, $stageRect = value));\n\tcomponent_subscribe($$self, stageScalar, value => $$invalidate(45, $stageScalar = value));\n\tcomponent_subscribe($$self, imageSelectionPan, value => $$invalidate(63, $imageSelectionPan = value));\n\tcomponent_subscribe($$self, imageSelectionZoom, value => $$invalidate(42, $imageSelectionZoom = value));\n\tcomponent_subscribe($$self, imageSelectionStageFitScalar, value => $$invalidate(43, $imageSelectionStageFitScalar = value));\n\tcomponent_subscribe($$self, imageSelectionRect, value => $$invalidate(66, $imageSelectionRect = value));\n\tcomponent_subscribe($$self, imageSelectionStoredState, value => $$invalidate(69, $imageSelectionStoredState = value));\n\tcomponent_subscribe($$self, imagePreviewUpscale, value => $$invalidate(44, $imagePreviewUpscale = value));\n\n\t// to toggle mouse cursor\n\tlet isPanning = false;\n\n\tlet panOrigin = undefined;\n\tlet zoomOrigin = undefined;\n\tlet isPanningToCenter = undefined;\n\tlet currentDistanceToCenter = undefined;\n\n\tconst shouldStartInteraction = e => {\n\t\t// currently active stage panel\n\t\tconst main = root.querySelector('.PinturaMain > .PinturaUtilMain') || root.querySelector('div[tabindex=\"0\"] .PinturaUtilMain');\n\n\t\t// somehow main not found\n\t\tif (!main) return false;\n\n\t\t// only handle if is interaction in main stage\n\t\tif (!main.contains(e.target)) return false;\n\n\t\t// never on text fields\n\t\tif (isTextField(e.target)) return false;\n\n\t\treturn true;\n\t};\n\n\tconst storePanAndZoom = (options = {}) => {\n\t\tconst { pan = $imageSelectionPan, zoom = $imageSelectionZoom } = options;\n\t\tset_store_value(imageSelectionStoredState, $imageSelectionStoredState = { translation: pan, zoom }, $imageSelectionStoredState);\n\t};\n\n\tconst isImageSelectionPanCentered = () => $imageSelectionPan && $imageSelectionPan.x === 0 && $imageSelectionPan.y === 0;\n\n\tconst resetPanToCenter = () => {\n\t\tif (isImageSelectionPanCentered()) return;\n\t\tset_store_value(imageSelectionPan, $imageSelectionPan = vectorCreateEmpty(), $imageSelectionPan);\n\t};\n\n\tconst restorePanAndZoom = () => {\n\t\tset_store_value(imageSelectionZoom, $imageSelectionZoom = enableZoom ? $imageSelectionStoredState.zoom : undefined, $imageSelectionZoom);\n\n\t\tset_store_value(\n\t\t\timageSelectionPan,\n\t\t\t$imageSelectionPan = enablePan\n\t\t\t? vectorClone($imageSelectionStoredState.translation)\n\t\t\t: isImageSelectionPanCentered()\n\t\t\t\t? $imageSelectionPan\n\t\t\t\t: vectorCreateEmpty(),\n\t\t\t$imageSelectionPan\n\t\t);\n\n\t\tzoomAdjust.set($imageSelectionZoom);\n\t};\n\n\tconst resetPanAndZoom = () => {\n\t\tset_store_value(imageSelectionZoom, $imageSelectionZoom = undefined, $imageSelectionZoom);\n\t\tresetPanToCenter();\n\t\tzoomAdjust.set(undefined, { hard: true });\n\t};\n\n\tconst snapToCenter = () => {\n\t\tresetPanAndZoom();\n\t\tstorePanAndZoom();\n\t};\n\n\t// this smoothens updates to the zoom level\n\tconst zoomAdjust = spring(undefined, { precision: 0.01 });\n\n\tzoomAdjust.subscribe(newValue => {\n\t\t// no value yet, wait\n\t\tif (newValue === undefined) {\n\t\t\tset_store_value(imageSelectionZoom, $imageSelectionZoom = undefined, $imageSelectionZoom);\n\t\t\tif (!isImageSelectionPanCentered()) set_store_value(imageSelectionPan, $imageSelectionPan = vectorCreateEmpty(), $imageSelectionPan);\n\t\t\treturn;\n\t\t}\n\n\t\tconst currentValue = $imageSelectionZoom;\n\n\t\tif (newValue <= 1) {\n\t\t\tif (!isImageSelectionPanCentered()) set_store_value(imageSelectionPan, $imageSelectionPan = vectorCreateEmpty(), $imageSelectionPan);\n\t\t} else if (newValue <= currentValue) {\n\t\t\tset_store_value(imageSelectionPan, $imageSelectionPan = vectorMultiply($imageSelectionPan, 0.8), $imageSelectionPan);\n\t\t}\n\n\t\tset_store_value(imageSelectionZoom, $imageSelectionZoom = newValue, $imageSelectionZoom);\n\t});\n\n\tconst updateZoomAdjust = update => {\n\t\tzoomAdjust.update(currentValue => {\n\t\t\tconst newValue = update(currentValue || $imageSelectionStageFitScalar);\n\n\t\t\t// remember new value\n\t\t\tstorePanAndZoom({ zoom: newValue });\n\n\t\t\treturn newValue;\n\t\t});\n\t};\n\n\tconst setZoomAdjust = newValue => {\n\t\tif (!newValue) {\n\t\t\tnewValue = undefined;\n\t\t\tzoomAdjust.set(undefined, { hard: true });\n\t\t} else {\n\t\t\tzoomAdjust.set(newValue, { hard: $isAnimated === false });\n\t\t}\n\n\t\t// update zoom\n\t\tset_store_value(imageSelectionZoom, $imageSelectionZoom = newValue, $imageSelectionZoom);\n\n\t\t// remember\n\t\tstorePanAndZoom({ zoom: newValue });\n\t};\n\n\tconst getSelectedZoomLevel = (levels, currentScalar) => levels.findIndex(level => level === currentScalar);\n\n\t//\n\t// interaction\n\t//\n\tconst getPanLimitedTranslation = (pan, zoom) => {\n\t\tconst scalar = imageSelectionRectScalar * zoom;\n\n\t\t// this is the current image centered on the stage which we'll use as drag bounds\n\t\tconst safeRect = { ...imageSelectionRectCentered };\n\n\t\t// apply gutter\n\t\tconst gutterScalar = 1.0 - clamp(panLimitGutterScalar, 0.0, 1.0);\n\n\t\trectScale$1(safeRect, scalar < gutterScalar ? scalar : gutterScalar);\n\n\t\t// here we need to\n\t\tconst nextRect = { ...imageSelectionRectCentered };\n\n\t\trectScale$1(nextRect, scalar);\n\t\trectTranslate$1(nextRect, pan);\n\t\tconst nextRectLimited = { ...nextRect };\n\t\tif (nextRect.x > safeRect.x) nextRectLimited.x = safeRect.x;\n\t\tif (nextRect.y > safeRect.y) nextRectLimited.y = safeRect.y;\n\t\tif (nextRect.x + nextRect.width < safeRect.x + safeRect.width) nextRectLimited.x = safeRect.x + safeRect.width - nextRect.width;\n\t\tif (nextRect.y + nextRect.height < safeRect.y + safeRect.height) nextRectLimited.y = safeRect.y + safeRect.height - nextRect.height;\n\t\treturn vectorSubtract(rectCenter(nextRectLimited), rectCenter(safeRect));\n\t};\n\n\tconst manipulatePan = ({ translation, zoom = 1, elastify = true }) => {\n\t\tif (!panOrigin) return;\n\t\tlet panTranslation = translation;\n\t\tconst nextPan = vectorCreate(panOrigin.x + panTranslation.x, panOrigin.y + panTranslation.y);\n\t\tif (!enablePanLimit) return nextPan;\n\t\tconst nextPanLimited = getPanLimitedTranslation(nextPan, zoom);\n\n\t\treturn elastify\n\t\t? elastifyVectors(nextPanLimited, nextPan, elasticity)\n\t\t: nextPanLimited;\n\t};\n\n\tlet didPan;\n\tlet lastDragInteraction;\n\n\tconst handleDragStart = () => {\n\t\tlastDragInteraction = undefined;\n\n\t\t// set to true so updates aren't animated\n\t\tset_store_value(isInteracting, $isInteracting = true, $isInteracting);\n\n\t\t// set to true so grab cursor is shown\n\t\t$$invalidate(33, isPanning = enablePanInput);\n\n\t\t// did interact with canvas\n\t\tdidPan = false;\n\n\t\t// we need to determine if panning to center so we can snap zoom\n\t\tisPanningToCenter = false;\n\n\t\t// so we can correctly apply drag translation\n\t\tpanOrigin = { ...$imageSelectionPan };\n\n\t\t// so we can correctly apply zoom adjustment\n\t\tzoomOrigin = $imagePreviewUpscale\n\t\t? $imageSelectionZoom || $imageSelectionStageFitScalar\n\t\t: imageFitsOnStage\n\t\t\t? $imageSelectionZoom || 1\n\t\t\t: $imageSelectionZoom || $imageSelectionStageFitScalar;\n\t};\n\n\tconst handleDrag = e => {\n\t\tconst { scalar, translation, isMultiTouching } = e.detail;\n\t\tif (!panOrigin || !(isMultiTouching || enablePanInput)) return;\n\n\t\t// TODO: research why this is needed. this makes movement of image better align with touch,\n\t\t// misalignment problem originates in `interactable`\n\t\t// this \"fix\" works here because we can only multitouch, it doesn't work in crop util because user can switch between single and multi input\n\t\tisMultiTouching && vectorMultiply(translation, 0.5);\n\n\t\tif (enablePanInput || isMultiTouching) didPan = true;\n\n\t\t// set to true when multiple fingers detected\n\t\tif (!zoomMultiTouching) $$invalidate(12, zoomMultiTouching = isMultiTouching);\n\n\t\t// next zoom\n\t\tconst nextZoom = canZoom\n\t\t? clamp(zoomOrigin * scalar, zoomMin, zoomMax)\n\t\t: 1;\n\n\t\t// need this info to determine if we're panning to center\n\t\tconst nextPan = manipulatePan({\n\t\t\ttranslation,\n\t\t\tzoom: nextZoom,\n\t\t\telastify: true\n\t\t});\n\n\t\t// calculate if is panning to center, we'll look at the result when user is done interacting with the canvas\n\t\tconst nextDistanceToCenter = vectorLength(nextPan);\n\n\t\tconst currentPan = $imageSelectionPan;\n\t\tcurrentDistanceToCenter = vectorLength(currentPan);\n\t\tisPanningToCenter = nextDistanceToCenter < currentDistanceToCenter;\n\n\t\t// assign new pan/zoom values\n\t\tif (canZoom) imageSelectionZoom.set(nextZoom);\n\n\t\timageSelectionPan.set(nextPan);\n\n\t\tlastDragInteraction = zoomMultiTouching && {\n\t\t\ttranslation: e.detail.translation,\n\t\t\tscalar\n\t\t};\n\t};\n\n\tconst handleDragRelease = e => {\n\t\tset_store_value(isInteracting, $isInteracting = false, $isInteracting);\n\t\t$$invalidate(33, isPanning = false);\n\t\t$$invalidate(12, zoomMultiTouching = false);\n\n\t\t// if is panning to center snap to center\n\t\tif (isPanningToCenter && currentDistanceToCenter < 50) {\n\t\t\t// stop drag action\n\t\t\tpanOrigin = undefined;\n\n\t\t\tzoomOrigin = undefined;\n\t\t\timageSelectionPan.set(vectorCreateEmpty());\n\t\t}\n\t};\n\n\tconst handleDragEnd = e => {\n\t\t// done interacting\n\t\tset_store_value(isInteracting, $isInteracting = false, $isInteracting);\n\n\t\t// clean up\n\t\t$$invalidate(33, isPanning = false);\n\n\t\t$$invalidate(12, zoomMultiTouching = false);\n\n\t\t// to make sure interaction is turned off before pan is updated we set it on next tick\n\t\t// this is a bit of a hack.\n\t\t// TODO: look into queueing interaction and ui updates so we can reliably disable/enable isInteracting and then run ui updates so they're properly animated\n\t\tPromise.resolve().then(() => {\n\t\t\tif (didPan && panOrigin) {\n\t\t\t\tconst interaction = lastDragInteraction || e.detail;\n\n\t\t\t\t// next zoom\n\t\t\t\tconst nextZoom = canZoom\n\t\t\t\t? clamp(zoomOrigin * interaction.scalar, zoomMin, zoomMax)\n\t\t\t\t: 1;\n\n\t\t\t\t// snap back to center if needed\n\t\t\t\tconst nextPan = manipulatePan({\n\t\t\t\t\telastify: false,\n\t\t\t\t\ttranslation: interaction.translation,\n\t\t\t\t\tzoom: nextZoom\n\t\t\t\t});\n\n\t\t\t\timageSelectionPan.set(nextPan);\n\t\t\t}\n\n\t\t\tpanOrigin = undefined;\n\t\t\tzoomOrigin = undefined;\n\n\t\t\t// reset zoom\n\t\t\tif (enablePanInput && e.detail.isDoubleTap) snapToCenter();\n\n\t\t\t// store for future\n\t\t\tstorePanAndZoom();\n\t\t});\n\t};\n\n\t// wheel input\n\tlet lastWheelEventTimestamp = Date.now();\n\n\tlet wheelSnapZoomTimer;\n\tlet wheelFastZoomCounter = 0;\n\tlet wheelFastZoomShouldHandle = false;\n\tlet didSnap = false;\n\n\tconst handleWheel = e => {\n\t\t// determine if wheel position is over image, else ignore\n\t\tif (!shouldStartInteraction(e)) return;\n\n\t\t// don't run default actions, prevent other actions from running\n\t\te.preventDefault();\n\n\t\te.stopPropagation();\n\t\tif (didSnap) return;\n\t\tclearTimeout(wheelSnapZoomTimer);\n\n\t\t// convert wheel delta to scalar\n\t\tconst wheelDelta = getWheelDelta(e);\n\n\t\t// for determining if fast zooming\n\t\tconst now = Date.now();\n\n\t\tconst wheelInterval = now - lastWheelEventTimestamp;\n\t\tlastWheelEventTimestamp = now;\n\t\tconst isZoomingFast = Math.abs(wheelDelta / wheelInterval) > 0.2;\n\t\twheelFastZoomCounter = isZoomingFast ? wheelFastZoomCounter + 1 : 0;\n\t\tconst delta = wheelDelta * -1 * zoomAdjustWheelFactor;\n\t\tconst scalar = 1 + delta / (isZoomingFast ? 50 : 100);\n\t\tconst stageWheelPosition = getEventPositionInStage(e, $rootRect, $stageRect);\n\n\t\t// update zoom\n\t\tupdateZoom(stageWheelPosition, scalar, { isZoomingFast });\n\t};\n\n\tconst updateZoom = (stagePosition, scalar, { isZoomingFast }) => {\n\t\tconst currentZoom = $imagePreviewUpscale\n\t\t? $imageSelectionZoom || $imageSelectionStageFitScalar\n\t\t: imageFitsOnStage\n\t\t\t? $imageSelectionZoom || 1\n\t\t\t: $imageSelectionZoom || $imageSelectionStageFitScalar;\n\n\t\tconst nextZoom = currentZoom * scalar;\n\t\tconst newTranslation = vectorCreateEmpty();\n\t\tconst currentTranslation = $imageSelectionPan;\n\n\t\tconst zoomCenter = $imagePreviewUpscale\n\t\t? $imageSelectionStageFitScalar\n\t\t: imageFitsOnStage ? 1 : $imageSelectionStageFitScalar;\n\n\t\tconst nextZoomDistanceToCenter = Math.abs(nextZoom - zoomCenter);\n\n\t\t// zoom state\n\t\tconst isZoomedIn = currentZoom > zoomCenter;\n\n\t\tconst isZoomedOut = currentZoom < zoomCenter;\n\t\tconst isZoomingIn = nextZoom > currentZoom;\n\t\tconst isZoomingOut = nextZoom < currentZoom;\n\t\tconst isZoomingToCenter = isZoomedIn && isZoomingOut || isZoomedOut && isZoomingIn;\n\t\tconst isZoomingFlick = wheelFastZoomCounter >= 5;\n\n\t\tif (!isZoomingFast) {\n\t\t\twheelFastZoomShouldHandle = false;\n\t\t}\n\n\t\tif (wheelFastZoomCounter > 0 && !wheelFastZoomShouldHandle) {\n\t\t\twheelFastZoomShouldHandle = isZoomingToCenter;\n\t\t}\n\n\t\t// quick snap to place\n\t\tif (isZoomingFlick && wheelFastZoomShouldHandle) {\n\t\t\tsnapToCenter();\n\t\t\tdidSnap = true;\n\n\t\t\tsetTimeout(\n\t\t\t\t() => {\n\t\t\t\t\tdidSnap = false;\n\t\t\t\t},\n\t\t\t\t100\n\t\t\t);\n\n\t\t\treturn;\n\t\t}\n\n\t\t// stop here, if flicks wheel we're not going to handle it\n\t\tif (isZoomingFlick) return;\n\n\t\t// snap when positioned very close to center\n\t\tif (!isZoomingFast && isZoomingToCenter && nextZoomDistanceToCenter <= 0.05) {\n\t\t\twheelSnapZoomTimer = setTimeout(\n\t\t\t\t() => {\n\t\t\t\t\tsnapToCenter();\n\t\t\t\t},\n\t\t\t\t250\n\t\t\t);\n\t\t}\n\n\t\t// update zoom\n\t\tset_store_value(imageSelectionZoom, $imageSelectionZoom = clamp(nextZoom, zoomMin, zoomMax), $imageSelectionZoom);\n\n\t\t// get wheel position so we can zoom to specific area of image\n\t\tconst originSelectionRect = rectClone$1($imageSelectionRect);\n\n\t\trectScale$1(originSelectionRect, currentZoom);\n\t\trectTranslate$1(originSelectionRect, currentTranslation);\n\t\tconst originSelectionRectCenter = rectCenter(originSelectionRect);\n\t\tconst zoomedSelectionRect = rectClone$1(originSelectionRect);\n\t\trectScale$1(zoomedSelectionRect, 1 + ($imageSelectionZoom - currentZoom), stagePosition);\n\t\tconst zoomedSelectionRectCenter = rectCenter(zoomedSelectionRect);\n\t\tconst rectTranslation = vectorDivide(vectorSubtract(zoomedSelectionRectCenter, originSelectionRectCenter), currentZoom);\n\t\tvectorUpdate(newTranslation, currentTranslation.x + rectTranslation.x, currentTranslation.y + rectTranslation.y);\n\n\t\t//  if zooming out fast move to center\n\t\tif (isZoomingOut && isZoomingFast) {\n\t\t\tset_store_value(imageSelectionPan, $imageSelectionPan = vectorMultiply(vectorClone($imageSelectionPan), 0.85), $imageSelectionPan);\n\t\t} else {\n\t\t\tset_store_value(imageSelectionPan, $imageSelectionPan = getPanLimitedTranslation(newTranslation, currentZoom), $imageSelectionPan);\n\t\t}\n\n\t\t// store for future\n\t\tstorePanAndZoom();\n\t};\n\n\t// toggle listeners\n\tconst getListenerFunction = enable => {\n\t\treturn (enable ? 'add' : 'remove') + 'EventListener';\n\t};\n\n\tlet gestureZoomOffset;\n\tlet gesturePanOffset;\n\tlet gestureStagePosition;\n\tlet gestureSelectionRect;\n\n\tconst handleGestureStart = e => {\n\t\te.preventDefault();\n\n\t\t// so we can correctly apply drag translation\n\t\tgesturePanOffset = { ...$imageSelectionPan };\n\n\t\tgestureSelectionRect = rectClone$1($imageSelectionRect);\n\t\tgestureStagePosition = getEventPositionInStage(e, $rootRect, $stageRect);\n\n\t\tgestureZoomOffset = $imagePreviewUpscale\n\t\t? $imageSelectionZoom || $imageSelectionStageFitScalar\n\t\t: imageFitsOnStage\n\t\t\t? $imageSelectionZoom || 1\n\t\t\t: $imageSelectionZoom || $imageSelectionStageFitScalar;\n\t};\n\n\tconst handleGesture = e => {\n\t\te.preventDefault();\n\t\tset_store_value(imageSelectionZoom, $imageSelectionZoom = clamp(e.scale * gestureZoomOffset, zoomMin, zoomMax), $imageSelectionZoom);\n\t\tconst originSelectionRect = rectClone$1(gestureSelectionRect);\n\t\trectScale$1(originSelectionRect, gestureZoomOffset);\n\t\trectTranslate$1(originSelectionRect, gesturePanOffset);\n\t\tconst originSelectionRectCenter = rectCenter(originSelectionRect);\n\t\tconst zoomedSelectionRect = rectClone$1(originSelectionRect);\n\t\trectScale$1(zoomedSelectionRect, 1 + ($imageSelectionZoom - gestureZoomOffset), gestureStagePosition);\n\t\tconst zoomedSelectionRectCenter = rectCenter(zoomedSelectionRect);\n\t\tconst rectTranslation = vectorDivide(vectorSubtract(zoomedSelectionRectCenter, originSelectionRectCenter), gestureZoomOffset);\n\n\t\tconst pan = {\n\t\t\tx: gesturePanOffset.x + rectTranslation.x,\n\t\t\ty: gesturePanOffset.y + rectTranslation.y\n\t\t};\n\n\t\tset_store_value(imageSelectionPan, $imageSelectionPan = getPanLimitedTranslation(pan, $imageSelectionZoom), $imageSelectionPan);\n\t};\n\n\tconst handleGestureEnd = e => {\n\t\te.preventDefault();\n\t};\n\n\tconst toggleZoomInput = enable => {\n\t\t// wheel zooming\n\t\troot[getListenerFunction(enable)]('wheel', handleWheel);\n\n\t\t// macos touchpad zooming, not on iOS as will conflict with handling of multitouch pointer events\n\t\tif (isIOS()) return;\n\n\t\troot[getListenerFunction(enable)]('gesturestart', handleGestureStart);\n\t\troot[getListenerFunction(enable)]('gesturechange', handleGesture);\n\t\troot[getListenerFunction(enable)]('gestureend', handleGestureEnd);\n\t};\n\n\tconst togglePanInput = enable => {\n\t\tconst fn = getListenerFunction(enable);\n\t\troot[fn]('interactionstart', handleDragStart);\n\t\troot[fn]('interactionupdate', handleDrag);\n\t\troot[fn]('interactionrelease', handleDragRelease);\n\t\troot[fn]('interactionend', handleDragEnd);\n\t};\n\n\t// mount & destroy\n\tlet interactableInstance;\n\n\tonMount(() => {\n\t\tinteractableInstance = interactable(root, {\n\t\t\tdrag: true,\n\t\t\tpinch: true,\n\t\t\tinertia: true,\n\t\t\tinertiaDurationMultiplier: 10,\n\t\t\tshouldStartInteraction\n\t\t});\n\t});\n\n\tonDestroy(() => {\n\t\ttoggleZoomInput(false);\n\t\ttogglePanInput(false);\n\t\tinteractableInstance.destroy();\n\t\tinteractableInstance = undefined;\n\t});\n\n\t$$self.$$set = $$props => {\n\t\tif ('root' in $$props) $$invalidate(13, root = $$props.root);\n\t\tif ('locale' in $$props) $$invalidate(14, locale = $$props.locale);\n\t\tif ('stores' in $$props) $$invalidate(15, stores = $$props.stores);\n\t\tif ('allowPan' in $$props) $$invalidate(16, allowPan = $$props.allowPan);\n\t\tif ('allowZoom' in $$props) $$invalidate(17, allowZoom = $$props.allowZoom);\n\t\tif ('enablePan' in $$props) $$invalidate(18, enablePan = $$props.enablePan);\n\t\tif ('enableZoom' in $$props) $$invalidate(19, enableZoom = $$props.enableZoom);\n\t\tif ('enableZoomControls' in $$props) $$invalidate(20, enableZoomControls = $$props.enableZoomControls);\n\t\tif ('enableZoomInput' in $$props) $$invalidate(21, enableZoomInput = $$props.enableZoomInput);\n\t\tif ('enablePanInput' in $$props) $$invalidate(22, enablePanInput = $$props.enablePanInput);\n\t\tif ('enablePanLimit' in $$props) $$invalidate(23, enablePanLimit = $$props.enablePanLimit);\n\t\tif ('panLimitGutterScalar' in $$props) $$invalidate(24, panLimitGutterScalar = $$props.panLimitGutterScalar);\n\t\tif ('zoomOptions' in $$props) $$invalidate(25, zoomOptions = $$props.zoomOptions);\n\t\tif ('zoomAdjustStep' in $$props) $$invalidate(26, zoomAdjustStep = $$props.zoomAdjustStep);\n\t\tif ('zoomAdjustFactor' in $$props) $$invalidate(27, zoomAdjustFactor = $$props.zoomAdjustFactor);\n\t\tif ('zoomAdjustWheelFactor' in $$props) $$invalidate(28, zoomAdjustWheelFactor = $$props.zoomAdjustWheelFactor);\n\t\tif ('elasticity' in $$props) $$invalidate(29, elasticity = $$props.elasticity);\n\t\tif ('imageSelectionRectCentered' in $$props) $$invalidate(30, imageSelectionRectCentered = $$props.imageSelectionRectCentered);\n\t\tif ('imageSelectionRectScalar' in $$props) $$invalidate(31, imageSelectionRectScalar = $$props.imageSelectionRectScalar);\n\t\tif ('zoomLevel' in $$props) $$invalidate(32, zoomLevel = $$props.zoomLevel);\n\t\tif ('zoomControls' in $$props) $$invalidate(11, zoomControls = $$props.zoomControls);\n\t\tif ('zoomMultiTouching' in $$props) $$invalidate(12, zoomMultiTouching = $$props.zoomMultiTouching);\n\t};\n\n\t$$self.$$.update = () => {\n\t\tif ($$self.$$.dirty[0] & /*allowZoom, enableZoom, enableZoomInput*/ 2752512) {\n\t\t\t$$invalidate(35, canZoom = allowZoom && enableZoom && enableZoomInput);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*allowPan, enablePan*/ 327680) {\n\t\t\t$$invalidate(34, canPan = allowPan && enablePan);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*allowPan, allowZoom*/ 196608) {\n\t\t\t// restore when becomes active\n\t\t\tallowPan || allowZoom\n\t\t\t? restorePanAndZoom()\n\t\t\t: resetPanAndZoom();\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*$stageScalar*/ 16384) {\n\t\t\timageFitsOnStage = $stageScalar >= 1;\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*locale, zoomOptions*/ 33570816 | $$self.$$.dirty[1] & /*$imagePreviewUpscale, $stageScalar, $imageSelectionStageFitScalar*/ 28672) {\n\t\t\t// the list of zoom levels\n\t\t\t$$invalidate(39, zoomLevels = [\n\t\t\t\t// zoom level need to fit to view\n\t\t\t\t($imagePreviewUpscale || $stageScalar < 1) && [\n\t\t\t\t\t$imageSelectionStageFitScalar,\n\t\t\t\t\ttoPercentageNumber($imageSelectionStageFitScalar) + '%',\n\t\t\t\t\t{ sublabel: locale.labelZoomFit }\n\t\t\t\t],\n\t\t\t\t// custom zoom levels\n\t\t\t\t...zoomOptions.map(value => [value, toPercentageNumber(value) + '%'])\n\t\t\t].filter(Boolean).map(level => {\n\t\t\t\tif (level[0] === 1) level[2] = { sublabel: locale.labelZoomActual };\n\t\t\t\treturn level;\n\t\t\t}).sort((a, b) => {\n\t\t\t\tconst av = a[0] || $imageSelectionStageFitScalar;\n\t\t\t\tconst bv = b[0] || $imageSelectionStageFitScalar;\n\t\t\t\tif (av < bv) return -1;\n\t\t\t\tif (bv < av) return 1;\n\t\t\t\treturn 0;\n\t\t\t}));\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*zoomLevels, $imageSelectionStageFitScalar*/ 4352) {\n\t\t\t$$invalidate(37, zoomMin = Math.min(zoomLevels.reduce((min, [level]) => level < min ? level : min, Number.MAX_SAFE_INTEGER), $imageSelectionStageFitScalar));\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*zoomLevels*/ 256) {\n\t\t\t$$invalidate(36, zoomMax = zoomLevels.reduce((max, [level]) => level > max ? level : max, Number.MIN_SAFE_INTEGER));\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*zoomLevel*/ 2) {\n\t\t\tzoomLevel !== null && setZoomAdjust(zoomLevel);\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*$imageSelectionZoom, $imagePreviewUpscale, $stageScalar, $imageSelectionStageFitScalar*/ 30720) {\n\t\t\t$$invalidate(41, zoomLevelCurrent = $imageSelectionZoom\n\t\t\t? $imageSelectionZoom\n\t\t\t: $imagePreviewUpscale || $stageScalar < 1\n\t\t\t\t? $imageSelectionStageFitScalar\n\t\t\t\t: 1);\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*zoomLevels, zoomLevelCurrent*/ 1280) {\n\t\t\t$$invalidate(38, zoomLevelSelectedIndex = getSelectedZoomLevel(zoomLevels.map(([level]) => level), zoomLevelCurrent));\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*zoomLevelCurrent*/ 1024) {\n\t\t\t$$invalidate(40, zoomLevelLabel = toPercentageNumber(zoomLevelCurrent) + '%');\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*allowZoom, enableZoomControls, locale, zoomAdjustStep, zoomAdjustFactor*/ 202522624 | $$self.$$.dirty[1] & /*$imageSelectionZoom, zoomMin, zoomLevelLabel, zoomLevels, zoomLevelSelectedIndex, zoomMax*/ 3040) {\n\t\t\t$$invalidate(11, zoomControls = (allowZoom || allowZoom) && enableZoomControls\n\t\t\t? [\n\t\t\t\t\t[\n\t\t\t\t\t\t'Button',\n\t\t\t\t\t\t'zoom-out',\n\t\t\t\t\t\t{\n\t\t\t\t\t\t\thideLabel: true,\n\t\t\t\t\t\t\tlabel: locale.labelZoomOut,\n\t\t\t\t\t\t\ticon: locale.iconZoomOut,\n\t\t\t\t\t\t\tdisabled: $imageSelectionZoom === zoomMin,\n\t\t\t\t\t\t\tonclick: () => updateZoomAdjust(value => Math.max(zoomMin, value - zoomAdjustStep)),\n\t\t\t\t\t\t\tonhold: () => updateZoomAdjust(value => Math.max(zoomMin, value * (1 - zoomAdjustFactor)))\n\t\t\t\t\t\t}\n\t\t\t\t\t],\n\t\t\t\t\t[\n\t\t\t\t\t\t'Dropdown',\n\t\t\t\t\t\t'zoom-level',\n\t\t\t\t\t\t{\n\t\t\t\t\t\t\tlabel: zoomLevelLabel,\n\t\t\t\t\t\t\tlabelClass: 'PinturaFixedWidthCharacters',\n\t\t\t\t\t\t\toptions: zoomLevels,\n\t\t\t\t\t\t\tselectedIndex: zoomLevelSelectedIndex,\n\t\t\t\t\t\t\tonchange: item => setZoomAdjust(item.value)\n\t\t\t\t\t\t}\n\t\t\t\t\t],\n\t\t\t\t\t[\n\t\t\t\t\t\t'Button',\n\t\t\t\t\t\t'zoom-in',\n\t\t\t\t\t\t{\n\t\t\t\t\t\t\thideLabel: true,\n\t\t\t\t\t\t\tlabel: locale.labelZoomIn,\n\t\t\t\t\t\t\ticon: locale.iconZoomIn,\n\t\t\t\t\t\t\tdisabled: $imageSelectionZoom === zoomMax,\n\t\t\t\t\t\t\tonclick: () => updateZoomAdjust(value => Math.min(zoomMax, value + zoomAdjustStep)),\n\t\t\t\t\t\t\tonhold: () => updateZoomAdjust(value => Math.min(zoomMax, value * (1 + zoomAdjustFactor)))\n\t\t\t\t\t\t}\n\t\t\t\t\t]\n\t\t\t\t]\n\t\t\t: []);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*root*/ 8192 | $$self.$$.dirty[1] & /*canZoom*/ 16) {\n\t\t\troot && toggleZoomInput(canZoom);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*root*/ 8192 | $$self.$$.dirty[1] & /*canPan*/ 8) {\n\t\t\troot && togglePanInput(canPan);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*root, enablePanInput*/ 4202496 | $$self.$$.dirty[1] & /*canPan, isPanning*/ 12) {\n\t\t\troot && root.style.setProperty('--cursor', canPan && enablePanInput\n\t\t\t? isPanning ? 'grabbing' : 'grab'\n\t\t\t: '');\n\t\t}\n\t};\n\n\treturn [\n\t\tisAnimated,\n\t\tisInteracting,\n\t\trootRect,\n\t\tstageRect,\n\t\tstageScalar,\n\t\timageSelectionPan,\n\t\timageSelectionZoom,\n\t\timageSelectionStageFitScalar,\n\t\timageSelectionRect,\n\t\timageSelectionStoredState,\n\t\timagePreviewUpscale,\n\t\tzoomControls,\n\t\tzoomMultiTouching,\n\t\troot,\n\t\tlocale,\n\t\tstores,\n\t\tallowPan,\n\t\tallowZoom,\n\t\tenablePan,\n\t\tenableZoom,\n\t\tenableZoomControls,\n\t\tenableZoomInput,\n\t\tenablePanInput,\n\t\tenablePanLimit,\n\t\tpanLimitGutterScalar,\n\t\tzoomOptions,\n\t\tzoomAdjustStep,\n\t\tzoomAdjustFactor,\n\t\tzoomAdjustWheelFactor,\n\t\telasticity,\n\t\timageSelectionRectCentered,\n\t\timageSelectionRectScalar,\n\t\tzoomLevel,\n\t\tisPanning,\n\t\tcanPan,\n\t\tcanZoom,\n\t\tzoomMax,\n\t\tzoomMin,\n\t\tzoomLevelSelectedIndex,\n\t\tzoomLevels,\n\t\tzoomLevelLabel,\n\t\tzoomLevelCurrent,\n\t\t$imageSelectionZoom,\n\t\t$imageSelectionStageFitScalar,\n\t\t$imagePreviewUpscale,\n\t\t$stageScalar\n\t];\n}\n\nclass CanvasPanAndZoom extends SvelteComponent {\n\tconstructor(options) {\n\t\tsuper();\n\n\t\tinit(\n\t\t\tthis,\n\t\t\toptions,\n\t\t\tinstance$y,\n\t\t\tnull,\n\t\t\tsafe_not_equal,\n\t\t\t{\n\t\t\t\troot: 13,\n\t\t\t\tlocale: 14,\n\t\t\t\tstores: 15,\n\t\t\t\tallowPan: 16,\n\t\t\t\tallowZoom: 17,\n\t\t\t\tenablePan: 18,\n\t\t\t\tenableZoom: 19,\n\t\t\t\tenableZoomControls: 20,\n\t\t\t\tenableZoomInput: 21,\n\t\t\t\tenablePanInput: 22,\n\t\t\t\tenablePanLimit: 23,\n\t\t\t\tpanLimitGutterScalar: 24,\n\t\t\t\tzoomOptions: 25,\n\t\t\t\tzoomAdjustStep: 26,\n\t\t\t\tzoomAdjustFactor: 27,\n\t\t\t\tzoomAdjustWheelFactor: 28,\n\t\t\t\telasticity: 29,\n\t\t\t\timageSelectionRectCentered: 30,\n\t\t\t\timageSelectionRectScalar: 31,\n\t\t\t\tzoomLevel: 32,\n\t\t\t\tzoomControls: 11,\n\t\t\t\tzoomMultiTouching: 12\n\t\t\t},\n\t\t\tnull,\n\t\t\t[-1, -1, -1, -1]\n\t\t);\n\t}\n}\n\n// Bytes for degree metadata\n// 0 degrees\n// 00010000 00000000 00000000 00000000\n// 00010000 00000000 00000000 00000000\n// 40\n// 90 degrees\n// 00000000 00010000 00000000 FFFF0000\n// 00000000 00000000 00000000 00000000\n// 40\n// 180 degrees\n// FFFF0000 00000000 00000000 00000000\n// FFFF0000 00000000 00000000 00000000\n// 40\n// 270 degrees\n// 00000000 FFFF0000 00000000 00010000\n// 00000000 00000000 00000000 00000000\n// 40\nvar getVideoFileRotationMetadata = async (file) => {\n    const buffer = await blobToArrayBuffer(file);\n    const view = new DataView(buffer);\n    return getRotationMetadataInDataView(view);\n};\nconst blobToArrayBuffer = (blob) => new Promise((resolve) => {\n    const reader = new FileReader();\n    reader.onload = () => resolve(reader.result);\n    reader.readAsArrayBuffer(blob);\n});\nconst getRotationMetadataInDataView = (view, { limit = 1024 } = {}) => {\n    const FTYP_MARKER = 0x66747970; // QuickTime Container File Type\n    const MP42_MARKER = 0x6d703432; // MP4 format\n    const TRAK_MARKER = 0x7472616b; // Video track\n    const ROTA_MARKER = 0x40; // Rotation byte\n    let offset = 0;\n    // const size = view.getUint32(offset);\n    offset += 4;\n    const container = view.getUint32(offset);\n    if (container !== FTYP_MARKER)\n        return 0;\n    offset += 4;\n    const format = view.getUint32(offset);\n    if (format !== MP42_MARKER)\n        return 0;\n    let inTrack = false;\n    // rotation marker offset\n    let r = -1;\n    for (let i = offset; i < limit; i++) {\n        // find start of video track\n        if (!inTrack && view.getUint32(i) === TRAK_MARKER) {\n            inTrack = true;\n            i += 4;\n        }\n        // not found yet, skip to next byte\n        if (!inTrack)\n            continue;\n        // found, let's search rotation marker\n        const value = view.getUint8(i);\n        // now looking for rotation marker offset\n        if (value == ROTA_MARKER) {\n            r = i;\n            break;\n        }\n    }\n    // rotation marker not found, exit\n    if (r < 0)\n        return 0;\n    // Let's read bytes preceding the rotation marker entry to check rotation value\n    const B = view.getUint32(r - 28);\n    const D = view.getUint32(r - 20);\n    const A = view.getUint32(r - 32);\n    const E = view.getUint32(r - 16);\n    if (B === 0x00010000 && D === 0xffff0000)\n        return 90;\n    else if (A === 0xffff0000 && E === 0xffff0000)\n        return 180;\n    else if (B === 0xffff0000 && D === 0x00010000)\n        return 270;\n    return 0;\n};\n\n/* src/core/ui/index.svelte generated by Svelte v3.52.0 */\n\nconst { window: window_1$1 } = globals;\n\nfunction create_if_block_1$7(ctx) {\n\tlet t;\n\tlet if_block1_anchor;\n\tlet current;\n\tlet if_block0 = /*isStatusVisible*/ ctx[41] && create_if_block_6$1(ctx);\n\tlet if_block1 = /*isReady*/ ctx[38] && create_if_block_2$6(ctx);\n\n\treturn {\n\t\tc() {\n\t\t\tif (if_block0) if_block0.c();\n\t\t\tt = space();\n\t\t\tif (if_block1) if_block1.c();\n\t\t\tif_block1_anchor = empty();\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tif (if_block0) if_block0.m(target, anchor);\n\t\t\tinsert(target, t, anchor);\n\t\t\tif (if_block1) if_block1.m(target, anchor);\n\t\t\tinsert(target, if_block1_anchor, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tif (/*isStatusVisible*/ ctx[41]) {\n\t\t\t\tif (if_block0) {\n\t\t\t\t\tif_block0.p(ctx, dirty);\n\n\t\t\t\t\tif (dirty[1] & /*isStatusVisible*/ 1024) {\n\t\t\t\t\t\ttransition_in(if_block0, 1);\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tif_block0 = create_if_block_6$1(ctx);\n\t\t\t\t\tif_block0.c();\n\t\t\t\t\ttransition_in(if_block0, 1);\n\t\t\t\t\tif_block0.m(t.parentNode, t);\n\t\t\t\t}\n\t\t\t} else if (if_block0) {\n\t\t\t\tgroup_outros();\n\n\t\t\t\ttransition_out(if_block0, 1, 1, () => {\n\t\t\t\t\tif_block0 = null;\n\t\t\t\t});\n\n\t\t\t\tcheck_outros();\n\t\t\t}\n\n\t\t\tif (/*isReady*/ ctx[38]) {\n\t\t\t\tif (if_block1) {\n\t\t\t\t\tif_block1.p(ctx, dirty);\n\n\t\t\t\t\tif (dirty[1] & /*isReady*/ 128) {\n\t\t\t\t\t\ttransition_in(if_block1, 1);\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tif_block1 = create_if_block_2$6(ctx);\n\t\t\t\t\tif_block1.c();\n\t\t\t\t\ttransition_in(if_block1, 1);\n\t\t\t\t\tif_block1.m(if_block1_anchor.parentNode, if_block1_anchor);\n\t\t\t\t}\n\t\t\t} else if (if_block1) {\n\t\t\t\tgroup_outros();\n\n\t\t\t\ttransition_out(if_block1, 1, 1, () => {\n\t\t\t\t\tif_block1 = null;\n\t\t\t\t});\n\n\t\t\t\tcheck_outros();\n\t\t\t}\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(if_block0);\n\t\t\ttransition_in(if_block1);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(if_block0);\n\t\t\ttransition_out(if_block1);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (if_block0) if_block0.d(detaching);\n\t\t\tif (detaching) detach(t);\n\t\t\tif (if_block1) if_block1.d(detaching);\n\t\t\tif (detaching) detach(if_block1_anchor);\n\t\t}\n\t};\n}\n\n// (3351:8) {#if isStatusVisible}\nfunction create_if_block_6$1(ctx) {\n\tlet div;\n\tlet p;\n\tlet current_block_type_index;\n\tlet if_block;\n\tlet div_style_value;\n\tlet current;\n\tconst if_block_creators = [create_if_block_7, create_if_block_8];\n\tconst if_blocks = [];\n\n\tfunction select_block_type(ctx, dirty) {\n\t\tif (/*isSupportsError*/ ctx[39]) return 0;\n\t\tif (/*statusState*/ ctx[34]) return 1;\n\t\treturn -1;\n\t}\n\n\tif (~(current_block_type_index = select_block_type(ctx))) {\n\t\tif_block = if_blocks[current_block_type_index] = if_block_creators[current_block_type_index](ctx);\n\t}\n\n\treturn {\n\t\tc() {\n\t\t\tdiv = element(\"div\");\n\t\t\tp = element(\"p\");\n\t\t\tif (if_block) if_block.c();\n\t\t\tattr(p, \"style\", /*statusTransform*/ ctx[68]);\n\t\t\tattr(div, \"class\", \"PinturaStatus\");\n\t\t\tattr(div, \"style\", div_style_value = `opacity: ${/*$statusOpacity*/ ctx[53]}`);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, div, anchor);\n\t\t\tappend(div, p);\n\n\t\t\tif (~current_block_type_index) {\n\t\t\t\tif_blocks[current_block_type_index].m(p, null);\n\t\t\t}\n\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tlet previous_block_index = current_block_type_index;\n\t\t\tcurrent_block_type_index = select_block_type(ctx);\n\n\t\t\tif (current_block_type_index === previous_block_index) {\n\t\t\t\tif (~current_block_type_index) {\n\t\t\t\t\tif_blocks[current_block_type_index].p(ctx, dirty);\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\tif (if_block) {\n\t\t\t\t\tgroup_outros();\n\n\t\t\t\t\ttransition_out(if_blocks[previous_block_index], 1, 1, () => {\n\t\t\t\t\t\tif_blocks[previous_block_index] = null;\n\t\t\t\t\t});\n\n\t\t\t\t\tcheck_outros();\n\t\t\t\t}\n\n\t\t\t\tif (~current_block_type_index) {\n\t\t\t\t\tif_block = if_blocks[current_block_type_index];\n\n\t\t\t\t\tif (!if_block) {\n\t\t\t\t\t\tif_block = if_blocks[current_block_type_index] = if_block_creators[current_block_type_index](ctx);\n\t\t\t\t\t\tif_block.c();\n\t\t\t\t\t} else {\n\t\t\t\t\t\tif_block.p(ctx, dirty);\n\t\t\t\t\t}\n\n\t\t\t\t\ttransition_in(if_block, 1);\n\t\t\t\t\tif_block.m(p, null);\n\t\t\t\t} else {\n\t\t\t\t\tif_block = null;\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tif (!current || dirty[2] & /*statusTransform*/ 64) {\n\t\t\t\tattr(p, \"style\", /*statusTransform*/ ctx[68]);\n\t\t\t}\n\n\t\t\tif (!current || dirty[1] & /*$statusOpacity*/ 4194304 && div_style_value !== (div_style_value = `opacity: ${/*$statusOpacity*/ ctx[53]}`)) {\n\t\t\t\tattr(div, \"style\", div_style_value);\n\t\t\t}\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(if_block);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(if_block);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(div);\n\n\t\t\tif (~current_block_type_index) {\n\t\t\t\tif_blocks[current_block_type_index].d();\n\t\t\t}\n\t\t}\n\t};\n}\n\n// (3364:42) \nfunction create_if_block_8(ctx) {\n\tlet statusmessage;\n\tlet t;\n\tlet if_block_anchor;\n\tlet current;\n\n\tstatusmessage = new StatusMessage({\n\t\t\tprops: {\n\t\t\t\ttext: /*statusState*/ ctx[34].text || '',\n\t\t\t\tonmeasure: /*offsetAside*/ ctx[200]\n\t\t\t}\n\t\t});\n\n\tlet if_block = /*statusState*/ ctx[34].aside && create_if_block_9(ctx);\n\n\treturn {\n\t\tc() {\n\t\t\tcreate_component(statusmessage.$$.fragment);\n\t\t\tt = space();\n\t\t\tif (if_block) if_block.c();\n\t\t\tif_block_anchor = empty();\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tmount_component(statusmessage, target, anchor);\n\t\t\tinsert(target, t, anchor);\n\t\t\tif (if_block) if_block.m(target, anchor);\n\t\t\tinsert(target, if_block_anchor, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tconst statusmessage_changes = {};\n\t\t\tif (dirty[1] & /*statusState*/ 8) statusmessage_changes.text = /*statusState*/ ctx[34].text || '';\n\t\t\tstatusmessage.$set(statusmessage_changes);\n\n\t\t\tif (/*statusState*/ ctx[34].aside) {\n\t\t\t\tif (if_block) {\n\t\t\t\t\tif_block.p(ctx, dirty);\n\n\t\t\t\t\tif (dirty[1] & /*statusState*/ 8) {\n\t\t\t\t\t\ttransition_in(if_block, 1);\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tif_block = create_if_block_9(ctx);\n\t\t\t\t\tif_block.c();\n\t\t\t\t\ttransition_in(if_block, 1);\n\t\t\t\t\tif_block.m(if_block_anchor.parentNode, if_block_anchor);\n\t\t\t\t}\n\t\t\t} else if (if_block) {\n\t\t\t\tgroup_outros();\n\n\t\t\t\ttransition_out(if_block, 1, 1, () => {\n\t\t\t\t\tif_block = null;\n\t\t\t\t});\n\n\t\t\t\tcheck_outros();\n\t\t\t}\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(statusmessage.$$.fragment, local);\n\t\t\ttransition_in(if_block);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(statusmessage.$$.fragment, local);\n\t\t\ttransition_out(if_block);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tdestroy_component(statusmessage, detaching);\n\t\t\tif (detaching) detach(t);\n\t\t\tif (if_block) if_block.d(detaching);\n\t\t\tif (detaching) detach(if_block_anchor);\n\t\t}\n\t};\n}\n\n// (3354:20) {#if isSupportsError}\nfunction create_if_block_7(ctx) {\n\tlet statusmessage;\n\tlet t;\n\tlet statusaside;\n\tlet current;\n\n\tstatusmessage = new StatusMessage({\n\t\t\tprops: {\n\t\t\t\ttext: /*isSupportsError*/ ctx[39],\n\t\t\t\tonmeasure: /*offsetAside*/ ctx[200]\n\t\t\t}\n\t\t});\n\n\tstatusaside = new StatusAside({\n\t\t\tprops: {\n\t\t\t\tclass: \"PinturaStatusIcon\",\n\t\t\t\toffset: /*$asideOffset*/ ctx[78],\n\t\t\t\topacity: /*$asideOpacity*/ ctx[79],\n\t\t\t\t$$slots: { default: [create_default_slot_4$1] },\n\t\t\t\t$$scope: { ctx }\n\t\t\t}\n\t\t});\n\n\treturn {\n\t\tc() {\n\t\t\tcreate_component(statusmessage.$$.fragment);\n\t\t\tt = space();\n\t\t\tcreate_component(statusaside.$$.fragment);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tmount_component(statusmessage, target, anchor);\n\t\t\tinsert(target, t, anchor);\n\t\t\tmount_component(statusaside, target, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tconst statusmessage_changes = {};\n\t\t\tif (dirty[1] & /*isSupportsError*/ 256) statusmessage_changes.text = /*isSupportsError*/ ctx[39];\n\t\t\tstatusmessage.$set(statusmessage_changes);\n\t\t\tconst statusaside_changes = {};\n\t\t\tif (dirty[2] & /*$asideOffset*/ 65536) statusaside_changes.offset = /*$asideOffset*/ ctx[78];\n\t\t\tif (dirty[2] & /*$asideOpacity*/ 131072) statusaside_changes.opacity = /*$asideOpacity*/ ctx[79];\n\n\t\t\tif (dirty[0] & /*locale*/ 8 | dirty[17] & /*$$scope*/ 128) {\n\t\t\t\tstatusaside_changes.$$scope = { dirty, ctx };\n\t\t\t}\n\n\t\t\tstatusaside.$set(statusaside_changes);\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(statusmessage.$$.fragment, local);\n\t\t\ttransition_in(statusaside.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(statusmessage.$$.fragment, local);\n\t\t\ttransition_out(statusaside.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tdestroy_component(statusmessage, detaching);\n\t\t\tif (detaching) detach(t);\n\t\t\tdestroy_component(statusaside, detaching);\n\t\t}\n\t};\n}\n\n// (3367:24) {#if statusState.aside}\nfunction create_if_block_9(ctx) {\n\tlet statusaside;\n\tlet current;\n\n\tstatusaside = new StatusAside({\n\t\t\tprops: {\n\t\t\t\tclass: \"PinturaStatusButton\",\n\t\t\t\toffset: /*$asideOffset*/ ctx[78],\n\t\t\t\topacity: /*$asideOpacity*/ ctx[79],\n\t\t\t\t$$slots: { default: [create_default_slot_6] },\n\t\t\t\t$$scope: { ctx }\n\t\t\t}\n\t\t});\n\n\treturn {\n\t\tc() {\n\t\t\tcreate_component(statusaside.$$.fragment);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tmount_component(statusaside, target, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tconst statusaside_changes = {};\n\t\t\tif (dirty[2] & /*$asideOffset*/ 65536) statusaside_changes.offset = /*$asideOffset*/ ctx[78];\n\t\t\tif (dirty[2] & /*$asideOpacity*/ 131072) statusaside_changes.opacity = /*$asideOpacity*/ ctx[79];\n\n\t\t\tif (dirty[1] & /*statusState*/ 8 | dirty[17] & /*$$scope*/ 128) {\n\t\t\t\tstatusaside_changes.$$scope = { dirty, ctx };\n\t\t\t}\n\n\t\t\tstatusaside.$set(statusaside_changes);\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(statusaside.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(statusaside.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tdestroy_component(statusaside, detaching);\n\t\t}\n\t};\n}\n\n// (3373:32) {#if statusState.progressIndicator.visible}\nfunction create_if_block_11(ctx) {\n\tlet progressindicator;\n\tlet current;\n\n\tprogressindicator = new ProgressIndicator({\n\t\t\tprops: {\n\t\t\t\tprogress: /*statusState*/ ctx[34].progressIndicator.progress\n\t\t\t}\n\t\t});\n\n\treturn {\n\t\tc() {\n\t\t\tcreate_component(progressindicator.$$.fragment);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tmount_component(progressindicator, target, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tconst progressindicator_changes = {};\n\t\t\tif (dirty[1] & /*statusState*/ 8) progressindicator_changes.progress = /*statusState*/ ctx[34].progressIndicator.progress;\n\t\t\tprogressindicator.$set(progressindicator_changes);\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(progressindicator.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(progressindicator.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tdestroy_component(progressindicator, detaching);\n\t\t}\n\t};\n}\n\n// (3379:32) {#if statusState.closeButton && statusState.text}\nfunction create_if_block_10(ctx) {\n\tlet button;\n\tlet current;\n\tconst button_spread_levels = [/*statusState*/ ctx[34].closeButton, { hideLabel: true }];\n\tlet button_props = {};\n\n\tfor (let i = 0; i < button_spread_levels.length; i += 1) {\n\t\tbutton_props = assign(button_props, button_spread_levels[i]);\n\t}\n\n\tbutton = new Button({ props: button_props });\n\n\treturn {\n\t\tc() {\n\t\t\tcreate_component(button.$$.fragment);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tmount_component(button, target, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tconst button_changes = (dirty[1] & /*statusState*/ 8)\n\t\t\t? get_spread_update(button_spread_levels, [\n\t\t\t\t\tget_spread_object(/*statusState*/ ctx[34].closeButton),\n\t\t\t\t\tbutton_spread_levels[1]\n\t\t\t\t])\n\t\t\t: {};\n\n\t\t\tbutton.$set(button_changes);\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(button.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(button.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tdestroy_component(button, detaching);\n\t\t}\n\t};\n}\n\n// (3368:28) <StatusAside                                 class=\"PinturaStatusButton\"                                 offset={$asideOffset}                                 opacity={$asideOpacity}                             >\nfunction create_default_slot_6(ctx) {\n\tlet t;\n\tlet if_block1_anchor;\n\tlet current;\n\tlet if_block0 = /*statusState*/ ctx[34].progressIndicator.visible && create_if_block_11(ctx);\n\tlet if_block1 = /*statusState*/ ctx[34].closeButton && /*statusState*/ ctx[34].text && create_if_block_10(ctx);\n\n\treturn {\n\t\tc() {\n\t\t\tif (if_block0) if_block0.c();\n\t\t\tt = space();\n\t\t\tif (if_block1) if_block1.c();\n\t\t\tif_block1_anchor = empty();\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tif (if_block0) if_block0.m(target, anchor);\n\t\t\tinsert(target, t, anchor);\n\t\t\tif (if_block1) if_block1.m(target, anchor);\n\t\t\tinsert(target, if_block1_anchor, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tif (/*statusState*/ ctx[34].progressIndicator.visible) {\n\t\t\t\tif (if_block0) {\n\t\t\t\t\tif_block0.p(ctx, dirty);\n\n\t\t\t\t\tif (dirty[1] & /*statusState*/ 8) {\n\t\t\t\t\t\ttransition_in(if_block0, 1);\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tif_block0 = create_if_block_11(ctx);\n\t\t\t\t\tif_block0.c();\n\t\t\t\t\ttransition_in(if_block0, 1);\n\t\t\t\t\tif_block0.m(t.parentNode, t);\n\t\t\t\t}\n\t\t\t} else if (if_block0) {\n\t\t\t\tgroup_outros();\n\n\t\t\t\ttransition_out(if_block0, 1, 1, () => {\n\t\t\t\t\tif_block0 = null;\n\t\t\t\t});\n\n\t\t\t\tcheck_outros();\n\t\t\t}\n\n\t\t\tif (/*statusState*/ ctx[34].closeButton && /*statusState*/ ctx[34].text) {\n\t\t\t\tif (if_block1) {\n\t\t\t\t\tif_block1.p(ctx, dirty);\n\n\t\t\t\t\tif (dirty[1] & /*statusState*/ 8) {\n\t\t\t\t\t\ttransition_in(if_block1, 1);\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tif_block1 = create_if_block_10(ctx);\n\t\t\t\t\tif_block1.c();\n\t\t\t\t\ttransition_in(if_block1, 1);\n\t\t\t\t\tif_block1.m(if_block1_anchor.parentNode, if_block1_anchor);\n\t\t\t\t}\n\t\t\t} else if (if_block1) {\n\t\t\t\tgroup_outros();\n\n\t\t\t\ttransition_out(if_block1, 1, 1, () => {\n\t\t\t\t\tif_block1 = null;\n\t\t\t\t});\n\n\t\t\t\tcheck_outros();\n\t\t\t}\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(if_block0);\n\t\t\ttransition_in(if_block1);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(if_block0);\n\t\t\ttransition_out(if_block1);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (if_block0) if_block0.d(detaching);\n\t\t\tif (detaching) detach(t);\n\t\t\tif (if_block1) if_block1.d(detaching);\n\t\t\tif (detaching) detach(if_block1_anchor);\n\t\t}\n\t};\n}\n\n// (3362:28) <Icon>\nfunction create_default_slot_5$1(ctx) {\n\tlet g;\n\tlet raw_value = /*locale*/ ctx[3].iconSupportError + \"\";\n\n\treturn {\n\t\tc() {\n\t\t\tg = svg_element(\"g\");\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, g, anchor);\n\t\t\tg.innerHTML = raw_value;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tif (dirty[0] & /*locale*/ 8 && raw_value !== (raw_value = /*locale*/ ctx[3].iconSupportError + \"\")) g.innerHTML = raw_value;\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(g);\n\t\t}\n\t};\n}\n\n// (3357:24) <StatusAside                             class=\"PinturaStatusIcon\"                             offset={$asideOffset}                             opacity={$asideOpacity}                         >\nfunction create_default_slot_4$1(ctx) {\n\tlet icon;\n\tlet current;\n\n\ticon = new Icon({\n\t\t\tprops: {\n\t\t\t\t$$slots: { default: [create_default_slot_5$1] },\n\t\t\t\t$$scope: { ctx }\n\t\t\t}\n\t\t});\n\n\treturn {\n\t\tc() {\n\t\t\tcreate_component(icon.$$.fragment);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tmount_component(icon, target, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tconst icon_changes = {};\n\n\t\t\tif (dirty[0] & /*locale*/ 8 | dirty[17] & /*$$scope*/ 128) {\n\t\t\t\ticon_changes.$$scope = { dirty, ctx };\n\t\t\t}\n\n\t\t\ticon.$set(icon_changes);\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(icon.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(icon.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tdestroy_component(icon, detaching);\n\t\t}\n\t};\n}\n\n// (3389:8) {#if isReady}\nfunction create_if_block_2$6(ctx) {\n\tlet t0;\n\tlet t1;\n\tlet current_block_type_index;\n\tlet if_block2;\n\tlet t2;\n\tlet canvas;\n\tlet t3;\n\tlet div;\n\tlet t4;\n\tlet canvaspanandzoom;\n\tlet updating_zoomLevel;\n\tlet updating_zoomControls;\n\tlet updating_zoomMultiTouching;\n\tlet current;\n\tlet if_block0 = /*enableToolbar*/ ctx[10] && create_if_block_5$3(ctx);\n\tlet if_block1 = /*shouldRenderTabs*/ ctx[45] && /*showUtils*/ ctx[44] && create_if_block_4$5(ctx);\n\tconst if_block_creators = [create_if_block_3$5, create_else_block$2];\n\tconst if_blocks = [];\n\n\tfunction select_block_type_1(ctx, dirty) {\n\t\tif (/*shouldRenderTabs*/ ctx[45]) return 0;\n\t\treturn 1;\n\t}\n\n\tcurrent_block_type_index = select_block_type_1(ctx);\n\tif_block2 = if_blocks[current_block_type_index] = if_block_creators[current_block_type_index](ctx);\n\n\tcanvas = new Canvas({\n\t\t\tprops: {\n\t\t\t\tisAnimated: /*$isAnimated*/ ctx[52],\n\t\t\t\tisTransparent: /*enableCanvasAlpha*/ ctx[19],\n\t\t\t\tpixelRatio: /*$pixelRatio*/ ctx[56],\n\t\t\t\ttextPixelRatio: /*previewImageTextPixelRatio*/ ctx[6],\n\t\t\t\tbackgroundColor: /*$rootBackgroundColor*/ ctx[55],\n\t\t\t\tmaskRect: /*$imageSelectionRectPresentation*/ ctx[57],\n\t\t\t\tmaskOpacity: /*imageCanvasState*/ ctx[69]\n\t\t\t\t? /*imageCanvasState*/ ctx[69].maskOpacity\n\t\t\t\t: 1,\n\t\t\t\tmaskMarkupOpacity: /*markupMaskOpacity*/ ctx[7],\n\t\t\t\tmaskFrameOpacity: /*previewMaskOpacity*/ ctx[5],\n\t\t\t\tclipAnnotationsToImage: /*$imageCropLimitToImage*/ ctx[81],\n\t\t\t\timages: /*$activeImages*/ ctx[54],\n\t\t\t\tinterfaceImages: /*$interfaceImages*/ ctx[82],\n\t\t\t\tloadImageData: /*imageSourceToImageData*/ ctx[27],\n\t\t\t\tenableGrid: /*enableTransparencyGrid*/ ctx[11],\n\t\t\t\tgridSize: /*$gridSize*/ ctx[83],\n\t\t\t\tgridColors: [/*$gridColorEven*/ ctx[84], /*$gridColorOdd*/ ctx[85]],\n\t\t\t\tgridOpacity: /*$gridOpacity*/ ctx[86],\n\t\t\t\twillRequest: /*$willRequest*/ ctx[77] || /*$willRequestResource*/ ctx[87],\n\t\t\t\twillRender: /*func_2*/ ctx[385],\n\t\t\t\tdidRender: /*func_3*/ ctx[386]\n\t\t\t}\n\t\t});\n\n\tfunction canvaspanandzoom_zoomLevel_binding(value) {\n\t\t/*canvaspanandzoom_zoomLevel_binding*/ ctx[388](value);\n\t}\n\n\tfunction canvaspanandzoom_zoomControls_binding(value) {\n\t\t/*canvaspanandzoom_zoomControls_binding*/ ctx[389](value);\n\t}\n\n\tfunction canvaspanandzoom_zoomMultiTouching_binding(value) {\n\t\t/*canvaspanandzoom_zoomMultiTouching_binding*/ ctx[390](value);\n\t}\n\n\tlet canvaspanandzoom_props = {\n\t\troot: /*root*/ ctx[2],\n\t\tlocale: /*locale*/ ctx[3],\n\t\tstores: /*utilStores*/ ctx[186],\n\t\tallowPan: /*$allowPan*/ ctx[89],\n\t\tenablePan: /*enablePan*/ ctx[16],\n\t\tenablePanLimit: /*enablePanLimit*/ ctx[20],\n\t\tpanLimitGutterScalar: /*panLimitGutterScalar*/ ctx[21],\n\t\tenablePanInput: /*$enablePanInputStatus*/ ctx[90],\n\t\tallowZoom: /*$allowZoom*/ ctx[91],\n\t\tenableZoom: /*enableZoom*/ ctx[17],\n\t\tenableZoomInput: /*enableZoomInput*/ ctx[18] !== undefined\n\t\t? /*enableZoomInput*/ ctx[18]\n\t\t: /*$enableZoomInputStore*/ ctx[92],\n\t\tenableZoomControls: /*$enableZoomControlsProp*/ ctx[93],\n\t\tzoomOptions: /*markupEditorZoomLevels*/ ctx[12] || /*zoomPresetOptions*/ ctx[22],\n\t\tzoomAdjustStep: /*markupEditorZoomAdjustStep*/ ctx[13] || /*zoomAdjustStep*/ ctx[23],\n\t\tzoomAdjustFactor: /*markupEditorZoomAdjustFactor*/ ctx[14] || /*zoomAdjustFactor*/ ctx[24],\n\t\tzoomAdjustWheelFactor: /*markupEditorZoomAdjustWheelFactor*/ ctx[15] || /*zoomAdjustWheelFactor*/ ctx[25],\n\t\timageSelectionRectCentered: /*$imageSelectionRectCentered*/ ctx[94],\n\t\timageSelectionRectScalar: /*$imageSelectionRectScalar*/ ctx[95],\n\t\telasticity: imageSelectionRectElasticity * /*elasticityMultiplier*/ ctx[8]\n\t};\n\n\tif (/*zoomLevel*/ ctx[0] !== void 0) {\n\t\tcanvaspanandzoom_props.zoomLevel = /*zoomLevel*/ ctx[0];\n\t}\n\n\tif (/*zoomControls*/ ctx[32] !== void 0) {\n\t\tcanvaspanandzoom_props.zoomControls = /*zoomControls*/ ctx[32];\n\t}\n\n\tif (/*zoomMultiTouching*/ ctx[33] !== void 0) {\n\t\tcanvaspanandzoom_props.zoomMultiTouching = /*zoomMultiTouching*/ ctx[33];\n\t}\n\n\tcanvaspanandzoom = new CanvasPanAndZoom({ props: canvaspanandzoom_props });\n\tbinding_callbacks.push(() => bind(canvaspanandzoom, 'zoomLevel', canvaspanandzoom_zoomLevel_binding));\n\tbinding_callbacks.push(() => bind(canvaspanandzoom, 'zoomControls', canvaspanandzoom_zoomControls_binding));\n\tbinding_callbacks.push(() => bind(canvaspanandzoom, 'zoomMultiTouching', canvaspanandzoom_zoomMultiTouching_binding));\n\n\treturn {\n\t\tc() {\n\t\t\tif (if_block0) if_block0.c();\n\t\t\tt0 = space();\n\t\t\tif (if_block1) if_block1.c();\n\t\t\tt1 = space();\n\t\t\tif_block2.c();\n\t\t\tt2 = space();\n\t\t\tcreate_component(canvas.$$.fragment);\n\t\t\tt3 = space();\n\t\t\tdiv = element(\"div\");\n\t\t\tt4 = space();\n\t\t\tcreate_component(canvaspanandzoom.$$.fragment);\n\t\t\tattr(div, \"class\", \"PinturaRootPortal\");\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tif (if_block0) if_block0.m(target, anchor);\n\t\t\tinsert(target, t0, anchor);\n\t\t\tif (if_block1) if_block1.m(target, anchor);\n\t\t\tinsert(target, t1, anchor);\n\t\t\tif_blocks[current_block_type_index].m(target, anchor);\n\t\t\tinsert(target, t2, anchor);\n\t\t\tmount_component(canvas, target, anchor);\n\t\t\tinsert(target, t3, anchor);\n\t\t\tinsert(target, div, anchor);\n\t\t\t/*div_binding*/ ctx[387](div);\n\t\t\tinsert(target, t4, anchor);\n\t\t\tmount_component(canvaspanandzoom, target, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tif (/*enableToolbar*/ ctx[10]) {\n\t\t\t\tif (if_block0) {\n\t\t\t\t\tif_block0.p(ctx, dirty);\n\n\t\t\t\t\tif (dirty[0] & /*enableToolbar*/ 1024) {\n\t\t\t\t\t\ttransition_in(if_block0, 1);\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tif_block0 = create_if_block_5$3(ctx);\n\t\t\t\t\tif_block0.c();\n\t\t\t\t\ttransition_in(if_block0, 1);\n\t\t\t\t\tif_block0.m(t0.parentNode, t0);\n\t\t\t\t}\n\t\t\t} else if (if_block0) {\n\t\t\t\tgroup_outros();\n\n\t\t\t\ttransition_out(if_block0, 1, 1, () => {\n\t\t\t\t\tif_block0 = null;\n\t\t\t\t});\n\n\t\t\t\tcheck_outros();\n\t\t\t}\n\n\t\t\tif (/*shouldRenderTabs*/ ctx[45] && /*showUtils*/ ctx[44]) {\n\t\t\t\tif (if_block1) {\n\t\t\t\t\tif_block1.p(ctx, dirty);\n\n\t\t\t\t\tif (dirty[1] & /*shouldRenderTabs, showUtils*/ 24576) {\n\t\t\t\t\t\ttransition_in(if_block1, 1);\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tif_block1 = create_if_block_4$5(ctx);\n\t\t\t\t\tif_block1.c();\n\t\t\t\t\ttransition_in(if_block1, 1);\n\t\t\t\t\tif_block1.m(t1.parentNode, t1);\n\t\t\t\t}\n\t\t\t} else if (if_block1) {\n\t\t\t\tgroup_outros();\n\n\t\t\t\ttransition_out(if_block1, 1, 1, () => {\n\t\t\t\t\tif_block1 = null;\n\t\t\t\t});\n\n\t\t\t\tcheck_outros();\n\t\t\t}\n\n\t\t\tlet previous_block_index = current_block_type_index;\n\t\t\tcurrent_block_type_index = select_block_type_1(ctx);\n\n\t\t\tif (current_block_type_index === previous_block_index) {\n\t\t\t\tif_blocks[current_block_type_index].p(ctx, dirty);\n\t\t\t} else {\n\t\t\t\tgroup_outros();\n\n\t\t\t\ttransition_out(if_blocks[previous_block_index], 1, 1, () => {\n\t\t\t\t\tif_blocks[previous_block_index] = null;\n\t\t\t\t});\n\n\t\t\t\tcheck_outros();\n\t\t\t\tif_block2 = if_blocks[current_block_type_index];\n\n\t\t\t\tif (!if_block2) {\n\t\t\t\t\tif_block2 = if_blocks[current_block_type_index] = if_block_creators[current_block_type_index](ctx);\n\t\t\t\t\tif_block2.c();\n\t\t\t\t} else {\n\t\t\t\t\tif_block2.p(ctx, dirty);\n\t\t\t\t}\n\n\t\t\t\ttransition_in(if_block2, 1);\n\t\t\t\tif_block2.m(t2.parentNode, t2);\n\t\t\t}\n\n\t\t\tconst canvas_changes = {};\n\t\t\tif (dirty[1] & /*$isAnimated*/ 2097152) canvas_changes.isAnimated = /*$isAnimated*/ ctx[52];\n\t\t\tif (dirty[0] & /*enableCanvasAlpha*/ 524288) canvas_changes.isTransparent = /*enableCanvasAlpha*/ ctx[19];\n\t\t\tif (dirty[1] & /*$pixelRatio*/ 33554432) canvas_changes.pixelRatio = /*$pixelRatio*/ ctx[56];\n\t\t\tif (dirty[0] & /*previewImageTextPixelRatio*/ 64) canvas_changes.textPixelRatio = /*previewImageTextPixelRatio*/ ctx[6];\n\t\t\tif (dirty[1] & /*$rootBackgroundColor*/ 16777216) canvas_changes.backgroundColor = /*$rootBackgroundColor*/ ctx[55];\n\t\t\tif (dirty[1] & /*$imageSelectionRectPresentation*/ 67108864) canvas_changes.maskRect = /*$imageSelectionRectPresentation*/ ctx[57];\n\n\t\t\tif (dirty[2] & /*imageCanvasState*/ 128) canvas_changes.maskOpacity = /*imageCanvasState*/ ctx[69]\n\t\t\t? /*imageCanvasState*/ ctx[69].maskOpacity\n\t\t\t: 1;\n\n\t\t\tif (dirty[0] & /*markupMaskOpacity*/ 128) canvas_changes.maskMarkupOpacity = /*markupMaskOpacity*/ ctx[7];\n\t\t\tif (dirty[0] & /*previewMaskOpacity*/ 32) canvas_changes.maskFrameOpacity = /*previewMaskOpacity*/ ctx[5];\n\t\t\tif (dirty[2] & /*$imageCropLimitToImage*/ 524288) canvas_changes.clipAnnotationsToImage = /*$imageCropLimitToImage*/ ctx[81];\n\t\t\tif (dirty[1] & /*$activeImages*/ 8388608) canvas_changes.images = /*$activeImages*/ ctx[54];\n\t\t\tif (dirty[2] & /*$interfaceImages*/ 1048576) canvas_changes.interfaceImages = /*$interfaceImages*/ ctx[82];\n\t\t\tif (dirty[0] & /*imageSourceToImageData*/ 134217728) canvas_changes.loadImageData = /*imageSourceToImageData*/ ctx[27];\n\t\t\tif (dirty[0] & /*enableTransparencyGrid*/ 2048) canvas_changes.enableGrid = /*enableTransparencyGrid*/ ctx[11];\n\t\t\tif (dirty[2] & /*$gridSize*/ 2097152) canvas_changes.gridSize = /*$gridSize*/ ctx[83];\n\t\t\tif (dirty[2] & /*$gridColorEven, $gridColorOdd*/ 12582912) canvas_changes.gridColors = [/*$gridColorEven*/ ctx[84], /*$gridColorOdd*/ ctx[85]];\n\t\t\tif (dirty[2] & /*$gridOpacity*/ 16777216) canvas_changes.gridOpacity = /*$gridOpacity*/ ctx[86];\n\t\t\tif (dirty[2] & /*$willRequest, $willRequestResource*/ 33587200) canvas_changes.willRequest = /*$willRequest*/ ctx[77] || /*$willRequestResource*/ ctx[87];\n\t\t\tif (dirty[0] & /*willRenderCanvas*/ 512 | dirty[1] & /*$redrawTrigger, $imageAnnotation, $imageDecoration, $imageFrame, blendShapes*/ 1507344 | dirty[2] & /*$imageOverlay*/ 67108864) canvas_changes.willRender = /*func_2*/ ctx[385];\n\t\t\tif (dirty[1] & /*imageAnnotationShapesDirty, imageAnnotationRequiresPreprocessing, imageDecorationShapesDirty*/ 1879048192 | dirty[2] & /*imageFrameShapesDirty, imageBlendShapesDirty*/ 3) canvas_changes.didRender = /*func_3*/ ctx[386];\n\t\t\tcanvas.$set(canvas_changes);\n\t\t\tconst canvaspanandzoom_changes = {};\n\t\t\tif (dirty[0] & /*root*/ 4) canvaspanandzoom_changes.root = /*root*/ ctx[2];\n\t\t\tif (dirty[0] & /*locale*/ 8) canvaspanandzoom_changes.locale = /*locale*/ ctx[3];\n\t\t\tif (dirty[2] & /*$allowPan*/ 134217728) canvaspanandzoom_changes.allowPan = /*$allowPan*/ ctx[89];\n\t\t\tif (dirty[0] & /*enablePan*/ 65536) canvaspanandzoom_changes.enablePan = /*enablePan*/ ctx[16];\n\t\t\tif (dirty[0] & /*enablePanLimit*/ 1048576) canvaspanandzoom_changes.enablePanLimit = /*enablePanLimit*/ ctx[20];\n\t\t\tif (dirty[0] & /*panLimitGutterScalar*/ 2097152) canvaspanandzoom_changes.panLimitGutterScalar = /*panLimitGutterScalar*/ ctx[21];\n\t\t\tif (dirty[2] & /*$enablePanInputStatus*/ 268435456) canvaspanandzoom_changes.enablePanInput = /*$enablePanInputStatus*/ ctx[90];\n\t\t\tif (dirty[2] & /*$allowZoom*/ 536870912) canvaspanandzoom_changes.allowZoom = /*$allowZoom*/ ctx[91];\n\t\t\tif (dirty[0] & /*enableZoom*/ 131072) canvaspanandzoom_changes.enableZoom = /*enableZoom*/ ctx[17];\n\n\t\t\tif (dirty[0] & /*enableZoomInput*/ 262144 | dirty[2] & /*$enableZoomInputStore*/ 1073741824) canvaspanandzoom_changes.enableZoomInput = /*enableZoomInput*/ ctx[18] !== undefined\n\t\t\t? /*enableZoomInput*/ ctx[18]\n\t\t\t: /*$enableZoomInputStore*/ ctx[92];\n\n\t\t\tif (dirty[3] & /*$enableZoomControlsProp*/ 1) canvaspanandzoom_changes.enableZoomControls = /*$enableZoomControlsProp*/ ctx[93];\n\t\t\tif (dirty[0] & /*markupEditorZoomLevels, zoomPresetOptions*/ 4198400) canvaspanandzoom_changes.zoomOptions = /*markupEditorZoomLevels*/ ctx[12] || /*zoomPresetOptions*/ ctx[22];\n\t\t\tif (dirty[0] & /*markupEditorZoomAdjustStep, zoomAdjustStep*/ 8396800) canvaspanandzoom_changes.zoomAdjustStep = /*markupEditorZoomAdjustStep*/ ctx[13] || /*zoomAdjustStep*/ ctx[23];\n\t\t\tif (dirty[0] & /*markupEditorZoomAdjustFactor, zoomAdjustFactor*/ 16793600) canvaspanandzoom_changes.zoomAdjustFactor = /*markupEditorZoomAdjustFactor*/ ctx[14] || /*zoomAdjustFactor*/ ctx[24];\n\t\t\tif (dirty[0] & /*markupEditorZoomAdjustWheelFactor, zoomAdjustWheelFactor*/ 33587200) canvaspanandzoom_changes.zoomAdjustWheelFactor = /*markupEditorZoomAdjustWheelFactor*/ ctx[15] || /*zoomAdjustWheelFactor*/ ctx[25];\n\t\t\tif (dirty[3] & /*$imageSelectionRectCentered*/ 2) canvaspanandzoom_changes.imageSelectionRectCentered = /*$imageSelectionRectCentered*/ ctx[94];\n\t\t\tif (dirty[3] & /*$imageSelectionRectScalar*/ 4) canvaspanandzoom_changes.imageSelectionRectScalar = /*$imageSelectionRectScalar*/ ctx[95];\n\t\t\tif (dirty[0] & /*elasticityMultiplier*/ 256) canvaspanandzoom_changes.elasticity = imageSelectionRectElasticity * /*elasticityMultiplier*/ ctx[8];\n\n\t\t\tif (!updating_zoomLevel && dirty[0] & /*zoomLevel*/ 1) {\n\t\t\t\tupdating_zoomLevel = true;\n\t\t\t\tcanvaspanandzoom_changes.zoomLevel = /*zoomLevel*/ ctx[0];\n\t\t\t\tadd_flush_callback(() => updating_zoomLevel = false);\n\t\t\t}\n\n\t\t\tif (!updating_zoomControls && dirty[1] & /*zoomControls*/ 2) {\n\t\t\t\tupdating_zoomControls = true;\n\t\t\t\tcanvaspanandzoom_changes.zoomControls = /*zoomControls*/ ctx[32];\n\t\t\t\tadd_flush_callback(() => updating_zoomControls = false);\n\t\t\t}\n\n\t\t\tif (!updating_zoomMultiTouching && dirty[1] & /*zoomMultiTouching*/ 4) {\n\t\t\t\tupdating_zoomMultiTouching = true;\n\t\t\t\tcanvaspanandzoom_changes.zoomMultiTouching = /*zoomMultiTouching*/ ctx[33];\n\t\t\t\tadd_flush_callback(() => updating_zoomMultiTouching = false);\n\t\t\t}\n\n\t\t\tcanvaspanandzoom.$set(canvaspanandzoom_changes);\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(if_block0);\n\t\t\ttransition_in(if_block1);\n\t\t\ttransition_in(if_block2);\n\t\t\ttransition_in(canvas.$$.fragment, local);\n\t\t\ttransition_in(canvaspanandzoom.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(if_block0);\n\t\t\ttransition_out(if_block1);\n\t\t\ttransition_out(if_block2);\n\t\t\ttransition_out(canvas.$$.fragment, local);\n\t\t\ttransition_out(canvaspanandzoom.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (if_block0) if_block0.d(detaching);\n\t\t\tif (detaching) detach(t0);\n\t\t\tif (if_block1) if_block1.d(detaching);\n\t\t\tif (detaching) detach(t1);\n\t\t\tif_blocks[current_block_type_index].d(detaching);\n\t\t\tif (detaching) detach(t2);\n\t\t\tdestroy_component(canvas, detaching);\n\t\t\tif (detaching) detach(t3);\n\t\t\tif (detaching) detach(div);\n\t\t\t/*div_binding*/ ctx[387](null);\n\t\t\tif (detaching) detach(t4);\n\t\t\tdestroy_component(canvaspanandzoom, detaching);\n\t\t}\n\t};\n}\n\n// (3390:12) {#if enableToolbar}\nfunction create_if_block_5$3(ctx) {\n\tlet div;\n\tlet dynamiccomponenttree;\n\tlet current;\n\tlet mounted;\n\tlet dispose;\n\n\tdynamiccomponenttree = new DynamicComponentTree_1({\n\t\t\tprops: { items: /*toolbarItems*/ ctx[65] }\n\t\t});\n\n\treturn {\n\t\tc() {\n\t\t\tdiv = element(\"div\");\n\t\t\tcreate_component(dynamiccomponenttree.$$.fragment);\n\t\t\tattr(div, \"class\", \"PinturaNav PinturaNavTools\");\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, div, anchor);\n\t\t\tmount_component(dynamiccomponenttree, div, null);\n\t\t\tcurrent = true;\n\n\t\t\tif (!mounted) {\n\t\t\t\tdispose = [\n\t\t\t\t\tlisten(div, \"measure\", /*measure_handler*/ ctx[372]),\n\t\t\t\t\taction_destroyer(measurable.call(null, div))\n\t\t\t\t];\n\n\t\t\t\tmounted = true;\n\t\t\t}\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tconst dynamiccomponenttree_changes = {};\n\t\t\tif (dirty[2] & /*toolbarItems*/ 8) dynamiccomponenttree_changes.items = /*toolbarItems*/ ctx[65];\n\t\t\tdynamiccomponenttree.$set(dynamiccomponenttree_changes);\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(dynamiccomponenttree.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(dynamiccomponenttree.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(div);\n\t\t\tdestroy_component(dynamiccomponenttree);\n\t\t\tmounted = false;\n\t\t\trun_all(dispose);\n\t\t}\n\t};\n}\n\n// (3400:12) {#if shouldRenderTabs && showUtils}\nfunction create_if_block_4$5(ctx) {\n\tlet div;\n\tlet scrollable;\n\tlet current;\n\n\tscrollable = new Scrollable({\n\t\t\tprops: {\n\t\t\t\telasticity: /*elasticityMultiplier*/ ctx[8] * scrollElasticity,\n\t\t\t\tscrollDirection: /*isLandscape*/ ctx[71] ? 'y' : 'x',\n\t\t\t\t$$slots: { default: [create_default_slot_1$4] },\n\t\t\t\t$$scope: { ctx }\n\t\t\t}\n\t\t});\n\n\treturn {\n\t\tc() {\n\t\t\tdiv = element(\"div\");\n\t\t\tcreate_component(scrollable.$$.fragment);\n\t\t\tattr(div, \"class\", \"PinturaNav PinturaNavMain\");\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, div, anchor);\n\t\t\tmount_component(scrollable, div, null);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tconst scrollable_changes = {};\n\t\t\tif (dirty[0] & /*elasticityMultiplier*/ 256) scrollable_changes.elasticity = /*elasticityMultiplier*/ ctx[8] * scrollElasticity;\n\t\t\tif (dirty[2] & /*isLandscape*/ 512) scrollable_changes.scrollDirection = /*isLandscape*/ ctx[71] ? 'y' : 'x';\n\n\t\t\tif (dirty[1] & /*utilSelected*/ 4096 | dirty[2] & /*tabsConfig, tabs*/ 12288 | dirty[17] & /*$$scope*/ 128) {\n\t\t\t\tscrollable_changes.$$scope = { dirty, ctx };\n\t\t\t}\n\n\t\t\tscrollable.$set(scrollable_changes);\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(scrollable.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(scrollable.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(div);\n\t\t\tdestroy_component(scrollable);\n\t\t}\n\t};\n}\n\n// (3412:28) <Icon>\nfunction create_default_slot_3$1(ctx) {\n\tlet g;\n\tlet raw_value = /*tab*/ ctx[533].icon + \"\";\n\n\treturn {\n\t\tc() {\n\t\t\tg = svg_element(\"g\");\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, g, anchor);\n\t\t\tg.innerHTML = raw_value;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tif (dirty[17] & /*tab*/ 64 && raw_value !== (raw_value = /*tab*/ ctx[533].icon + \"\")) g.innerHTML = raw_value;\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(g);\n\t\t}\n\t};\n}\n\n// (3406:24) <TabList                             {...tabsConfig}                             {tabs}                             on:select={({ detail }) => (utilSelected = detail)}                             let:tab                         >\nfunction create_default_slot_2$3(ctx) {\n\tlet icon;\n\tlet t0;\n\tlet span;\n\tlet t1_value = /*tab*/ ctx[533].label + \"\";\n\tlet t1;\n\tlet current;\n\n\ticon = new Icon({\n\t\t\tprops: {\n\t\t\t\t$$slots: { default: [create_default_slot_3$1] },\n\t\t\t\t$$scope: { ctx }\n\t\t\t}\n\t\t});\n\n\treturn {\n\t\tc() {\n\t\t\tcreate_component(icon.$$.fragment);\n\t\t\tt0 = space();\n\t\t\tspan = element(\"span\");\n\t\t\tt1 = text(t1_value);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tmount_component(icon, target, anchor);\n\t\t\tinsert(target, t0, anchor);\n\t\t\tinsert(target, span, anchor);\n\t\t\tappend(span, t1);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tconst icon_changes = {};\n\n\t\t\tif (dirty[17] & /*$$scope, tab*/ 192) {\n\t\t\t\ticon_changes.$$scope = { dirty, ctx };\n\t\t\t}\n\n\t\t\ticon.$set(icon_changes);\n\t\t\tif ((!current || dirty[17] & /*tab*/ 64) && t1_value !== (t1_value = /*tab*/ ctx[533].label + \"\")) set_data(t1, t1_value);\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(icon.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(icon.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tdestroy_component(icon, detaching);\n\t\t\tif (detaching) detach(t0);\n\t\t\tif (detaching) detach(span);\n\t\t}\n\t};\n}\n\n// (3402:20) <Scrollable                         elasticity={elasticityMultiplier * scrollElasticity}                         scrollDirection={isLandscape ? 'y' : 'x'}                     >\nfunction create_default_slot_1$4(ctx) {\n\tlet tablist;\n\tlet current;\n\tconst tablist_spread_levels = [/*tabsConfig*/ ctx[75], { tabs: /*tabs*/ ctx[74] }];\n\n\tlet tablist_props = {\n\t\t$$slots: {\n\t\t\tdefault: [\n\t\t\t\tcreate_default_slot_2$3,\n\t\t\t\t({ tab }) => ({ 533: tab }),\n\t\t\t\t({ tab }) => [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, tab ? 64 : 0]\n\t\t\t]\n\t\t},\n\t\t$$scope: { ctx }\n\t};\n\n\tfor (let i = 0; i < tablist_spread_levels.length; i += 1) {\n\t\ttablist_props = assign(tablist_props, tablist_spread_levels[i]);\n\t}\n\n\ttablist = new TabList({ props: tablist_props });\n\ttablist.$on(\"select\", /*select_handler*/ ctx[373]);\n\n\treturn {\n\t\tc() {\n\t\t\tcreate_component(tablist.$$.fragment);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tmount_component(tablist, target, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tconst tablist_changes = (dirty[2] & /*tabsConfig, tabs*/ 12288)\n\t\t\t? get_spread_update(tablist_spread_levels, [\n\t\t\t\t\tdirty[2] & /*tabsConfig*/ 8192 && get_spread_object(/*tabsConfig*/ ctx[75]),\n\t\t\t\t\tdirty[2] & /*tabs*/ 4096 && { tabs: /*tabs*/ ctx[74] }\n\t\t\t\t])\n\t\t\t: {};\n\n\t\t\tif (dirty[17] & /*$$scope, tab*/ 192) {\n\t\t\t\ttablist_changes.$$scope = { dirty, ctx };\n\t\t\t}\n\n\t\t\ttablist.$set(tablist_changes);\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(tablist.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(tablist.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tdestroy_component(tablist, detaching);\n\t\t}\n\t};\n}\n\n// (3445:12) {:else}\nfunction create_else_block$2(ctx) {\n\tlet utilpanel;\n\tlet updating_component;\n\tlet current;\n\n\tfunction utilpanel_component_binding_1(value) {\n\t\t/*utilpanel_component_binding_1*/ ctx[381](value);\n\t}\n\n\tlet utilpanel_props = {\n\t\tclass: \"PinturaMain\",\n\t\tcontent: {\n\t\t\t.../*utilsMerged*/ ctx[46].find(/*func_1*/ ctx[380]),\n\t\t\tprops: /*pluginOptions*/ ctx[26][/*utilSelected*/ ctx[43]]\n\t\t},\n\t\tlocale: /*locale*/ ctx[3],\n\t\tstores: /*utilStores*/ ctx[186]\n\t};\n\n\tif (/*pluginInterface*/ ctx[1][/*utilSelected*/ ctx[43]] !== void 0) {\n\t\tutilpanel_props.component = /*pluginInterface*/ ctx[1][/*utilSelected*/ ctx[43]];\n\t}\n\n\tutilpanel = new UtilPanel({ props: utilpanel_props });\n\tbinding_callbacks.push(() => bind(utilpanel, 'component', utilpanel_component_binding_1));\n\tutilpanel.$on(\"measure\", /*handleMeasureUtil*/ ctx[212]);\n\tutilpanel.$on(\"show\", /*show_handler_1*/ ctx[382]);\n\tutilpanel.$on(\"hide\", /*hide_handler_1*/ ctx[383]);\n\tutilpanel.$on(\"fade\", /*fade_handler_1*/ ctx[384]);\n\n\treturn {\n\t\tc() {\n\t\t\tcreate_component(utilpanel.$$.fragment);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tmount_component(utilpanel, target, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tconst utilpanel_changes = {};\n\n\t\t\tif (dirty[0] & /*pluginOptions*/ 67108864 | dirty[1] & /*utilsMerged, utilSelected*/ 36864) utilpanel_changes.content = {\n\t\t\t\t.../*utilsMerged*/ ctx[46].find(/*func_1*/ ctx[380]),\n\t\t\t\tprops: /*pluginOptions*/ ctx[26][/*utilSelected*/ ctx[43]]\n\t\t\t};\n\n\t\t\tif (dirty[0] & /*locale*/ 8) utilpanel_changes.locale = /*locale*/ ctx[3];\n\n\t\t\tif (!updating_component && dirty[0] & /*pluginInterface*/ 2 | dirty[1] & /*utilSelected*/ 4096) {\n\t\t\t\tupdating_component = true;\n\t\t\t\tutilpanel_changes.component = /*pluginInterface*/ ctx[1][/*utilSelected*/ ctx[43]];\n\t\t\t\tadd_flush_callback(() => updating_component = false);\n\t\t\t}\n\n\t\t\tutilpanel.$set(utilpanel_changes);\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(utilpanel.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(utilpanel.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tdestroy_component(utilpanel, detaching);\n\t\t}\n\t};\n}\n\n// (3419:12) {#if shouldRenderTabs}\nfunction create_if_block_3$5(ctx) {\n\tlet tabpanels;\n\tlet current;\n\n\tconst tabpanels_spread_levels = [\n\t\t{ class: \"PinturaMain\" },\n\t\t{ visible: /*utilsVisible*/ ctx[58] },\n\t\t/*tabsConfig*/ ctx[75],\n\t\t{ panels: /*panels*/ ctx[73] }\n\t];\n\n\tlet tabpanels_props = {\n\t\t$$slots: {\n\t\t\tdefault: [\n\t\t\t\tcreate_default_slot$b,\n\t\t\t\t({ panel, panelIsActive }) => ({ 531: panel, 532: panelIsActive }),\n\t\t\t\t({ panel, panelIsActive }) => [\n\t\t\t\t\t0,\n\t\t\t\t\t0,\n\t\t\t\t\t0,\n\t\t\t\t\t0,\n\t\t\t\t\t0,\n\t\t\t\t\t0,\n\t\t\t\t\t0,\n\t\t\t\t\t0,\n\t\t\t\t\t0,\n\t\t\t\t\t0,\n\t\t\t\t\t0,\n\t\t\t\t\t0,\n\t\t\t\t\t0,\n\t\t\t\t\t0,\n\t\t\t\t\t0,\n\t\t\t\t\t0,\n\t\t\t\t\t0,\n\t\t\t\t\t(panel ? 16 : 0) | (panelIsActive ? 32 : 0)\n\t\t\t\t]\n\t\t\t]\n\t\t},\n\t\t$$scope: { ctx }\n\t};\n\n\tfor (let i = 0; i < tabpanels_spread_levels.length; i += 1) {\n\t\ttabpanels_props = assign(tabpanels_props, tabpanels_spread_levels[i]);\n\t}\n\n\ttabpanels = new TabPanels({ props: tabpanels_props });\n\ttabpanels.$on(\"measure\", /*measure_handler_1*/ ctx[379]);\n\n\treturn {\n\t\tc() {\n\t\t\tcreate_component(tabpanels.$$.fragment);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tmount_component(tabpanels, target, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tconst tabpanels_changes = (dirty[1] & /*utilsVisible*/ 134217728 | dirty[2] & /*tabsConfig, panels*/ 10240)\n\t\t\t? get_spread_update(tabpanels_spread_levels, [\n\t\t\t\t\ttabpanels_spread_levels[0],\n\t\t\t\t\tdirty[1] & /*utilsVisible*/ 134217728 && { visible: /*utilsVisible*/ ctx[58] },\n\t\t\t\t\tdirty[2] & /*tabsConfig*/ 8192 && get_spread_object(/*tabsConfig*/ ctx[75]),\n\t\t\t\t\tdirty[2] & /*panels*/ 2048 && { panels: /*panels*/ ctx[73] }\n\t\t\t\t])\n\t\t\t: {};\n\n\t\t\tif (dirty[0] & /*pluginOptions, locale, pluginInterface*/ 67108874 | dirty[1] & /*utilsMerged, utilsVisible, utilsVisibleFraction*/ 134250560 | dirty[17] & /*$$scope, panel, panelIsActive*/ 176) {\n\t\t\t\ttabpanels_changes.$$scope = { dirty, ctx };\n\t\t\t}\n\n\t\t\ttabpanels.$set(tabpanels_changes);\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(tabpanels.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(tabpanels.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tdestroy_component(tabpanels, detaching);\n\t\t}\n\t};\n}\n\n// (3420:16) <TabPanels                     class=\"PinturaMain\"                     visible={utilsVisible}                     {...tabsConfig}                     {panels}                     let:panel                     let:panelIsActive                     on:measure={(e) => ($tabRect = e.detail)}                 >\nfunction create_default_slot$b(ctx) {\n\tlet utilpanel;\n\tlet updating_component;\n\tlet current;\n\n\tfunction func(...args) {\n\t\treturn /*func*/ ctx[374](/*panel*/ ctx[531], ...args);\n\t}\n\n\tfunction utilpanel_component_binding(value) {\n\t\t/*utilpanel_component_binding*/ ctx[375](value, /*panel*/ ctx[531]);\n\t}\n\n\tfunction show_handler() {\n\t\treturn /*show_handler*/ ctx[376](/*panel*/ ctx[531]);\n\t}\n\n\tfunction hide_handler() {\n\t\treturn /*hide_handler*/ ctx[377](/*panel*/ ctx[531]);\n\t}\n\n\tfunction fade_handler(...args) {\n\t\treturn /*fade_handler*/ ctx[378](/*panel*/ ctx[531], ...args);\n\t}\n\n\tlet utilpanel_props = {\n\t\tcontent: {\n\t\t\t.../*utilsMerged*/ ctx[46].find(func),\n\t\t\tprops: /*pluginOptions*/ ctx[26][/*panel*/ ctx[531]]\n\t\t},\n\t\tlocale: /*locale*/ ctx[3],\n\t\tisActive: /*panelIsActive*/ ctx[532],\n\t\tstores: /*utilStores*/ ctx[186]\n\t};\n\n\tif (/*pluginInterface*/ ctx[1][/*panel*/ ctx[531]] !== void 0) {\n\t\tutilpanel_props.component = /*pluginInterface*/ ctx[1][/*panel*/ ctx[531]];\n\t}\n\n\tutilpanel = new UtilPanel({ props: utilpanel_props });\n\tbinding_callbacks.push(() => bind(utilpanel, 'component', utilpanel_component_binding));\n\tutilpanel.$on(\"measure\", /*handleMeasureUtil*/ ctx[212]);\n\tutilpanel.$on(\"show\", show_handler);\n\tutilpanel.$on(\"hide\", hide_handler);\n\tutilpanel.$on(\"fade\", fade_handler);\n\n\treturn {\n\t\tc() {\n\t\t\tcreate_component(utilpanel.$$.fragment);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tmount_component(utilpanel, target, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(new_ctx, dirty) {\n\t\t\tctx = new_ctx;\n\t\t\tconst utilpanel_changes = {};\n\n\t\t\tif (dirty[0] & /*pluginOptions*/ 67108864 | dirty[1] & /*utilsMerged*/ 32768 | dirty[17] & /*panel*/ 16) utilpanel_changes.content = {\n\t\t\t\t.../*utilsMerged*/ ctx[46].find(func),\n\t\t\t\tprops: /*pluginOptions*/ ctx[26][/*panel*/ ctx[531]]\n\t\t\t};\n\n\t\t\tif (dirty[0] & /*locale*/ 8) utilpanel_changes.locale = /*locale*/ ctx[3];\n\t\t\tif (dirty[17] & /*panelIsActive*/ 32) utilpanel_changes.isActive = /*panelIsActive*/ ctx[532];\n\n\t\t\tif (!updating_component && dirty[0] & /*pluginInterface*/ 2 | dirty[17] & /*panel*/ 16) {\n\t\t\t\tupdating_component = true;\n\t\t\t\tutilpanel_changes.component = /*pluginInterface*/ ctx[1][/*panel*/ ctx[531]];\n\t\t\t\tadd_flush_callback(() => updating_component = false);\n\t\t\t}\n\n\t\t\tutilpanel.$set(utilpanel_changes);\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(utilpanel.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(utilpanel.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tdestroy_component(utilpanel, detaching);\n\t\t}\n\t};\n}\n\n// (3552:4) {#if $disabledTransition > 0}\nfunction create_if_block$8(ctx) {\n\tlet span;\n\tlet span_style_value;\n\n\treturn {\n\t\tc() {\n\t\t\tspan = element(\"span\");\n\t\t\tattr(span, \"class\", \"PinturaEditorOverlay\");\n\t\t\tattr(span, \"style\", span_style_value = `opacity:${/*$disabledTransition*/ ctx[96]}`);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, span, anchor);\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tif (dirty[3] & /*$disabledTransition*/ 8 && span_style_value !== (span_style_value = `opacity:${/*$disabledTransition*/ ctx[96]}`)) {\n\t\t\t\tattr(span, \"style\", span_style_value);\n\t\t\t}\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(span);\n\t\t}\n\t};\n}\n\nfunction create_fragment$x(ctx) {\n\tlet div;\n\tlet t;\n\tlet current;\n\tlet mounted;\n\tlet dispose;\n\tadd_render_callback(/*onwindowresize*/ ctx[371]);\n\tlet if_block0 = /*canRender*/ ctx[40] && create_if_block_1$7(ctx);\n\tlet if_block1 = /*$disabledTransition*/ ctx[96] > 0 && create_if_block$8(ctx);\n\n\treturn {\n\t\tc() {\n\t\t\tdiv = element(\"div\");\n\t\t\tif (if_block0) if_block0.c();\n\t\t\tt = space();\n\t\t\tif (if_block1) if_block1.c();\n\t\t\tattr(div, \"id\", /*id*/ ctx[4]);\n\t\t\tattr(div, \"class\", /*className*/ ctx[72]);\n\t\t\tattr(div, \"data-env\", /*envStr*/ ctx[70]);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, div, anchor);\n\t\t\tif (if_block0) if_block0.m(div, null);\n\t\t\tappend(div, t);\n\t\t\tif (if_block1) if_block1.m(div, null);\n\t\t\t/*div_binding_1*/ ctx[391](div);\n\t\t\tcurrent = true;\n\n\t\t\tif (!mounted) {\n\t\t\t\tdispose = [\n\t\t\t\t\tlisten(window_1$1, \"keydown\", /*handleKeydown*/ ctx[203]),\n\t\t\t\t\tlisten(window_1$1, \"keyup\", /*handleKeyup*/ ctx[204]),\n\t\t\t\t\tlisten(window_1$1, \"blur\", /*handleWindowBlur*/ ctx[205]),\n\t\t\t\t\tlisten(window_1$1, \"paste\", /*handlePaste*/ ctx[209]),\n\t\t\t\t\tlisten(window_1$1, \"resize\", /*onwindowresize*/ ctx[371]),\n\t\t\t\t\tlisten(div, \"ping\", function () {\n\t\t\t\t\t\tif (is_function(/*routePing*/ ctx[64])) /*routePing*/ ctx[64].apply(this, arguments);\n\t\t\t\t\t}),\n\t\t\t\t\tlisten(div, \"contextmenu\", /*handleContextMenu*/ ctx[206]),\n\t\t\t\t\tlisten(div, \"touchstart\", /*handleTouchStart*/ ctx[201], { passive: false }),\n\t\t\t\t\tlisten(div, \"touchmove\", function () {\n\t\t\t\t\t\tif (is_function(/*handleTouchMove*/ ctx[67])) /*handleTouchMove*/ ctx[67].apply(this, arguments);\n\t\t\t\t\t}),\n\t\t\t\t\tlisten(div, \"pointermove\", function () {\n\t\t\t\t\t\tif (is_function(/*handlePointerMove*/ ctx[66])) /*handlePointerMove*/ ctx[66].apply(this, arguments);\n\t\t\t\t\t}),\n\t\t\t\t\tlisten(div, \"transitionend\", /*handleTransitionEnd*/ ctx[191]),\n\t\t\t\t\tlisten(div, \"dropfiles\", /*handleDropFiles*/ ctx[207]),\n\t\t\t\t\tlisten(div, \"measure\", /*measure_handler_2*/ ctx[392]),\n\t\t\t\t\tlisten(div, \"click\", function () {\n\t\t\t\t\t\tif (is_function(/*isWaitingForImage*/ ctx[42]\n\t\t\t\t\t\t? /*browseFileSystem*/ ctx[208]\n\t\t\t\t\t\t: noop$1)) (/*isWaitingForImage*/ ctx[42]\n\t\t\t\t\t\t? /*browseFileSystem*/ ctx[208]\n\t\t\t\t\t\t: noop$1).apply(this, arguments);\n\t\t\t\t\t}),\n\t\t\t\t\taction_destroyer(measurable.call(null, div, {\n\t\t\t\t\t\tobserveViewRect: true,\n\t\t\t\t\t\tisMeasureRoot: true\n\t\t\t\t\t})),\n\t\t\t\t\taction_destroyer(focusvisible.call(null, div)),\n\t\t\t\t\taction_destroyer(dropable.call(null, div))\n\t\t\t\t];\n\n\t\t\t\tmounted = true;\n\t\t\t}\n\t\t},\n\t\tp(new_ctx, dirty) {\n\t\t\tctx = new_ctx;\n\n\t\t\tif (/*canRender*/ ctx[40]) {\n\t\t\t\tif (if_block0) {\n\t\t\t\t\tif_block0.p(ctx, dirty);\n\n\t\t\t\t\tif (dirty[1] & /*canRender*/ 512) {\n\t\t\t\t\t\ttransition_in(if_block0, 1);\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tif_block0 = create_if_block_1$7(ctx);\n\t\t\t\t\tif_block0.c();\n\t\t\t\t\ttransition_in(if_block0, 1);\n\t\t\t\t\tif_block0.m(div, t);\n\t\t\t\t}\n\t\t\t} else if (if_block0) {\n\t\t\t\tgroup_outros();\n\n\t\t\t\ttransition_out(if_block0, 1, 1, () => {\n\t\t\t\t\tif_block0 = null;\n\t\t\t\t});\n\n\t\t\t\tcheck_outros();\n\t\t\t}\n\n\t\t\tif (/*$disabledTransition*/ ctx[96] > 0) {\n\t\t\t\tif (if_block1) {\n\t\t\t\t\tif_block1.p(ctx, dirty);\n\t\t\t\t} else {\n\t\t\t\t\tif_block1 = create_if_block$8(ctx);\n\t\t\t\t\tif_block1.c();\n\t\t\t\t\tif_block1.m(div, null);\n\t\t\t\t}\n\t\t\t} else if (if_block1) {\n\t\t\t\tif_block1.d(1);\n\t\t\t\tif_block1 = null;\n\t\t\t}\n\n\t\t\tif (!current || dirty[0] & /*id*/ 16) {\n\t\t\t\tattr(div, \"id\", /*id*/ ctx[4]);\n\t\t\t}\n\n\t\t\tif (!current || dirty[2] & /*className*/ 1024) {\n\t\t\t\tattr(div, \"class\", /*className*/ ctx[72]);\n\t\t\t}\n\n\t\t\tif (!current || dirty[2] & /*envStr*/ 256) {\n\t\t\t\tattr(div, \"data-env\", /*envStr*/ ctx[70]);\n\t\t\t}\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(if_block0);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(if_block0);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(div);\n\t\t\tif (if_block0) if_block0.d();\n\t\t\tif (if_block1) if_block1.d();\n\t\t\t/*div_binding_1*/ ctx[391](null);\n\t\t\tmounted = false;\n\t\t\trun_all(dispose);\n\t\t}\n\t};\n}\n\nconst imageCropRectElasticity = 5;\n\n// updating crop selection / the intended selection rect, combined with actual selection rect, used to render elasticity visualisation\nconst imageSelectionRectElasticity = 1;\n\nconst OVERLAY_ID = 'stage-overlay';\nconst OVERLAY_OPACITY_TWEEN_DIST = 64;\nconst scrollElasticity = 10;\nconst rangeInputElasticity = 5;\n\nfunction instance$x($$self, $$props, $$invalidate) {\n\tlet isOverlayModeEnabled;\n\tlet showUtils;\n\tlet maxImageDataSize;\n\tlet preprocessShape;\n\tlet supportsAnimations;\n\tlet canAnimate;\n\tlet acceptsAnimations;\n\tlet OVERLAY_OPACITY_MAX;\n\tlet overlayMin;\n\tlet overlayOverlap;\n\tlet overlayLeft;\n\tlet overlayTop;\n\tlet overlayRight;\n\tlet overlayBottom;\n\tlet gradientOverlays;\n\tlet imageTransformsSnapPixels;\n\tlet canUndo;\n\tlet canRedo;\n\tlet utilsFiltered;\n\tlet utilsAvailable;\n\tlet utilsDefined;\n\tlet utilsMerged;\n\tlet utilSelected;\n\tlet utilsVisibleFraction;\n\tlet tabsConfig;\n\tlet tabs;\n\tlet panels;\n\tlet shouldRenderTabs;\n\tlet className;\n\tlet horizontalSpace;\n\tlet hasLimitedSpace;\n\tlet verticalSpace;\n\tlet isModal;\n\tlet isCenteredHorizontally;\n\tlet isCenteredVertically;\n\tlet isCentered;\n\tlet isTransparent;\n\tlet isNarrow;\n\tlet orientation;\n\tlet isLandscape;\n\tlet isCompact;\n\tlet hasSwipeNavigation;\n\tlet activeUtilTools;\n\tlet navigationHorizontalPreference;\n\tlet navigationVerticalPreference;\n\tlet toolbarVerticalPreference;\n\tlet controlGroupsVerticalPreference;\n\tlet controlTabsVerticalpreference;\n\tlet rootRectDefined;\n\tlet rootElementComputedStyle;\n\tlet envStr;\n\tlet imageCanvasState;\n\tlet hasProps;\n\tlet missingFeatures;\n\tlet isSupportsError;\n\tlet isStartLoadingImageSource;\n\tlet isImageLoadError;\n\tlet isWaitingForImage;\n\tlet imageLoadProgress;\n\tlet isLoadingImageData;\n\tlet isCreatingImagePreview;\n\tlet isProcessingImage;\n\tlet imageLoadShowProgressIndicator;\n\tlet imageLoadStatusLabel;\n\tlet imageProcessStatusLabel;\n\tlet imageProcessProgress;\n\tlet imageProcessShowProgressIndicator;\n\tlet isImageProcessingError;\n\tlet isCustomStatus;\n\tlet isStatusActive;\n\tlet isStatusVisible;\n\tlet hasAside;\n\tlet statusIndent;\n\tlet statusTransform;\n\tlet needsInteractionLock;\n\tlet preventTouchHandler;\n\tlet handleTouchMove;\n\tlet handlePointerMove;\n\tlet toolbarItems;\n\tlet hasClientRect;\n\tlet canRender;\n\tlet hasImageRedaction;\n\tlet imageRedactionScalar;\n\tlet routePing;\n\tlet isReady;\n\tlet $utilRect;\n\tlet $imageFrame;\n\tlet $imageDecoration;\n\tlet $imageSize;\n\tlet $imageFlipY;\n\tlet $imageFlipX;\n\tlet $imageRotation;\n\tlet $imageAnnotation;\n\tlet $stageRect;\n\tlet $rootRect;\n\tlet $isInteractingFraction;\n\tlet $isInteracting;\n\tlet $rootLineColor;\n\tlet $rootForegroundColor;\n\n\tlet $imagePreview,\n\t\t$$unsubscribe_imagePreview = noop,\n\t\t$$subscribe_imagePreview = () => ($$unsubscribe_imagePreview(), $$unsubscribe_imagePreview = subscribe(imagePreview, $$value => $$invalidate(328, $imagePreview = $$value)), imagePreview);\n\n\tlet $imageRedaction;\n\tlet $imageRedactionRendering;\n\tlet $imageBackgroundColor;\n\tlet $imageScrambler;\n\tlet $pressedKeysStore;\n\tlet $clientRect;\n\tlet $env;\n\tlet $redrawTrigger;\n\tlet $imageProcessingPreparing;\n\tlet $isAnimated;\n\tlet $statusOffset;\n\tlet $asideWidth;\n\tlet $statusWidth;\n\tlet $statusOpacity;\n\tlet $wasProcessingImage;\n\tlet $imageVisualLoadComplete;\n\tlet $imageProcessState;\n\tlet $imageLoadState;\n\tlet $imagePreviewSource;\n\tlet $activeImages;\n\tlet $imageProps;\n\tlet $shouldAnimate;\n\tlet $imagePreviewModifiers;\n\tlet $imageTransforms;\n\tlet $pointerHoverable;\n\tlet $pointerAccuracy;\n\tlet $utilTools;\n\tlet $imageFile;\n\tlet $previewShouldUpscale;\n\n\tlet $history,\n\t\t$$unsubscribe_history = noop,\n\t\t$$subscribe_history = () => ($$unsubscribe_history(), $$unsubscribe_history = subscribe(history, $$value => $$invalidate(351, $history = $$value)), history);\n\n\tlet $imageState;\n\tlet $tabRect;\n\tlet $muteAudioStore;\n\tlet $mediaDuration;\n\tlet $imageOverlayMarkup;\n\tlet $overlayBottomRect;\n\tlet $overlayOpacity;\n\tlet $rootBackgroundColor;\n\tlet $overlayRightRect;\n\tlet $overlayTopRect;\n\tlet $overlayLeftRect;\n\tlet $pixelRatio;\n\tlet $imageSelectionRectPresentation;\n\tlet $stagePadding;\n\tlet $stagePadded;\n\tlet $imageSelectionRectStaticScalar;\n\tlet $imageSelectionRect;\n\tlet $imageCropRect;\n\tlet $imageStaticBounds;\n\tlet $imageCropRectIntent;\n\tlet $imageSelectionRectSnapshot;\n\tlet $imageIsStatic;\n\tlet $imageCropRectSnapshot;\n\tlet $presentationScalar;\n\tlet $stageScalar;\n\tlet $imageSelectionScalar;\n\tlet $imageSelectionPan;\n\tlet $imageSelectionRectIntent;\n\tlet $imageSelectionRectOffset;\n\tlet $imageSelectionZoom;\n\tlet $prefersReducedMotion;\n\tlet $rootInsetTop;\n\tlet $imageCropAspectRatio;\n\tlet $enablePanInputStore;\n\tlet $enablePanInputProp;\n\tlet $allowZoomControls;\n\tlet $shapePreprocessor;\n\tlet $images;\n\tlet $mediaTrim;\n\tlet $willRequest;\n\tlet $elasticityMultiplierStore;\n\tlet $asideOffset;\n\tlet $asideOpacity;\n\tlet $toolRect;\n\tlet $imageCropLimitToImage;\n\tlet $interfaceImages;\n\tlet $gridSize;\n\tlet $gridColorEven;\n\tlet $gridColorOdd;\n\tlet $gridOpacity;\n\tlet $willRequestResource;\n\tlet $imageOverlay;\n\tlet $allowPan;\n\tlet $enablePanInputStatus;\n\tlet $allowZoom;\n\tlet $enableZoomInputStore;\n\tlet $enableZoomControlsProp;\n\tlet $imageSelectionRectCentered;\n\tlet $imageSelectionRectScalar;\n\tlet $disabledTransition;\n\tcomponent_subscribe($$self, prefersReducedMotion, $$value => $$invalidate(366, $prefersReducedMotion = $$value));\n\t$$self.$$.on_destroy.push(() => $$unsubscribe_imagePreview());\n\t$$self.$$.on_destroy.push(() => $$unsubscribe_history());\n\tconst eventProxy = pubsub();\n\tconst dispatch = createEventDispatcher();\n\tlet { class: klass = undefined } = $$props;\n\tlet { layout: layoutMode = undefined } = $$props;\n\tlet { stores } = $$props;\n\tlet { locale = undefined } = $$props;\n\tlet { id = undefined } = $$props;\n\tlet { util = undefined } = $$props;\n\tlet { utils = undefined } = $$props;\n\tlet { animations = 'auto' } = $$props;\n\tlet { disabled = false } = $$props;\n\tlet { status = undefined } = $$props;\n\tlet { previewUpscale = false } = $$props;\n\tlet { previewPad = false } = $$props;\n\tlet { previewMaskOpacity = 0.95 } = $$props;\n\tlet { previewImageDataMaxSize = undefined } = $$props;\n\tlet { previewImageTextPixelRatio = undefined } = $$props;\n\tlet { markupMaskOpacity = 1 } = $$props;\n\tlet { zoomMaskOpacity = 0.85 } = $$props;\n\tlet { elasticityMultiplier = 10 } = $$props;\n\tlet { willRevert = () => Promise.resolve(true) } = $$props;\n\tlet { willProcessImage = () => Promise.resolve(true) } = $$props;\n\tlet { willRenderCanvas = passthrough } = $$props;\n\tlet { willRenderToolbar = passthrough } = $$props;\n\tlet { willSetHistoryInitialState = passthrough } = $$props;\n\tlet { enableButtonExport = true } = $$props;\n\tlet { enableButtonRevert = true } = $$props;\n\tlet { enableNavigateHistory = true } = $$props;\n\tlet { enableToolbar = true } = $$props;\n\tlet { enableUtils = true } = $$props;\n\tlet { enableButtonClose = false } = $$props;\n\tlet { enableDropImage = false } = $$props;\n\tlet { enablePasteImage = false } = $$props;\n\tlet { enableBrowseImage = false } = $$props;\n\tlet { enableTransparencyGrid = false } = $$props;\n\tlet { layoutDirectionPreference = 'auto' } = $$props;\n\tlet { layoutHorizontalUtilsPreference = 'left' } = $$props;\n\tlet { layoutVerticalUtilsPreference = 'bottom' } = $$props;\n\tlet { layoutVerticalToolbarPreference = 'top' } = $$props;\n\tlet { layoutVerticalControlGroupsPreference = 'bottom' } = $$props;\n\tlet { layoutVerticalControlTabsPreference = 'bottom' } = $$props;\n\tlet { markupEditorZoomLevel = null } = $$props;\n\tlet { markupEditorZoomLevels = undefined } = $$props;\n\tlet { markupEditorZoomAdjustStep = undefined } = $$props;\n\tlet { markupEditorZoomAdjustFactor = undefined } = $$props;\n\tlet { markupEditorZoomAdjustWheelFactor = undefined } = $$props;\n\tlet { markupEditorInteractionMode = false } = $$props;\n\tlet { muteAudio = true } = $$props;\n\tlet { willSetMediaInitialTimeOffset = (duration, trim) => duration * getRangeCenter(trim[0]) } = $$props;\n\tlet { enablePan = true } = $$props;\n\tlet { enableZoom = true } = $$props;\n\tlet { enableZoomControls = true } = $$props;\n\tlet { enableZoomInput = undefined } = $$props;\n\tlet { enablePanInput = undefined } = $$props;\n\tlet { enableCanvasAlpha = false } = $$props;\n\tlet { enablePanLimit = undefined } = $$props;\n\tlet { panLimitGutterScalar = undefined } = $$props;\n\tlet { zoomPresetOptions = [0.25, 0.5, 1, 1.25, 1.5, 2, 3, 4, 6, 8, 16] } = $$props;\n\tlet { zoomAdjustStep = 0.25 } = $$props;\n\tlet { zoomAdjustFactor = 0.1 } = $$props;\n\tlet { zoomAdjustWheelFactor = 1 } = $$props;\n\tlet { zoomLevel = null } = $$props;\n\tlet { imagePreviewSrc = undefined } = $$props;\n\tlet { imageOrienter = { read: () => 1, apply: v => v } } = $$props;\n\tlet { pluginComponents = undefined } = $$props;\n\tlet { pluginOptions = {} } = $$props;\n\tconst sub = eventProxy.sub;\n\tconst pluginInterface = {};\n\tlet { root } = $$props;\n\n\t// media\n\tconst muteAudioStore = writable(muteAudio);\n\n\tcomponent_subscribe($$self, muteAudioStore, value => $$invalidate(352, $muteAudioStore = value));\n\n\t// setup redraw store\n\tconst redrawTrigger = writable({});\n\n\tcomponent_subscribe($$self, redrawTrigger, value => $$invalidate(51, $redrawTrigger = value));\n\tsetContext('redrawTrigger', redrawTrigger);\n\tconst elasticityMultiplierStore = writable(elasticityMultiplier);\n\tcomponent_subscribe($$self, elasticityMultiplierStore, value => $$invalidate(433, $elasticityMultiplierStore = value));\n\tsetContext('elasticityMultiplier', elasticityMultiplierStore);\n\tlet registeredPluginsComponents = [];\n\n\t// editor disabled spring for animating in and out disabled state\n\tconst disabledTransition = spring();\n\n\tcomponent_subscribe($$self, disabledTransition, value => $$invalidate(96, $disabledTransition = value));\n\n\t// this method is used to read image resources (preview image / shape images)\n\tconst glMaxTextureSize = getWebGLTextureSizeLimit() || 1024;\n\n\tconst maxTextureSize = sizeCreate(glMaxTextureSize, glMaxTextureSize);\n\tconst canvasMemoryLimit = getCanvasMemoryLimit();\n\n\tconst fetchSrc = src => Promise.resolve($willRequest && $willRequest(src, { resourceType: 'image' })).then(requestInit => {\n\t\t// do something with options\n\t\tif (requestInit === false) return;\n\n\t\t// get props\n\t\tconst { headers, credentials } = requestInit || {};\n\n\t\t// fetch\n\t\treturn fetch(src, { headers, credentials }).then(res => {\n\t\t\tif (res.status !== 200) throw `${res.status} (${res.statusText})`;\n\t\t\treturn res.blob();\n\t\t}).then(blob => blobToImageBitmap(blob, imageOrienter, canvasMemoryLimit)).then(imageData => imageDataContain(imageData, maxImageDataSize));\n\t});\n\n\tlet { imageSourceToImageData = src => isString(src)\n\t? // it's a url src\n\t\tfetchSrc(src)\n\t: isElement(src)\n\t\t? // assume src is a <canvas>\n\t\t\tnew Promise(resolve => resolve(canvasToImageData(src)))\n\t\t: // assume src is a File or Blob\n\t\t\tisBlob(src) || isFile(src)\n\t\t\t? blobToImageBitmap(src, imageOrienter, canvasMemoryLimit).then(imageData => imageDataContain(imageData, maxImageDataSize))\n\t\t\t: undefined } = $$props;\n\n\tconst imageProxy = createImageProxy();\n\tconst { file: imageFile, size: imageSize, duration: mediaDuration, trim: mediaTrim, loadState: imageLoadState, processState: imageProcessState, cropAspectRatio: imageCropAspectRatio, cropLimitToImage: imageCropLimitToImage, crop: imageCropRect, cropMinSize: imageCropMinSize, cropMaxSize: imageCropMaxSize, cropRange: imageCropRange, cropOrigin: imageCropRectOrigin, cropRectAspectRatio: imageCropRectAspectRatio, rotation: imageRotation, rotationRange: imageRotationRange, targetSize: imageOutputSize, flipX: imageFlipX, flipY: imageFlipY, backgroundColor: imageBackgroundColor, backgroundImage: imageBackgroundImageSrc, colorMatrix: imageColorMatrix, convolutionMatrix: imageConvolutionMatrix, gamma: imageGamma, vignette: imageVignette, noise: imageNoise, decoration: imageDecoration, annotation: imageAnnotation, redaction: imageRedaction, frame: imageFrame, state: imageState } = imageProxy.stores;\n\tcomponent_subscribe($$self, imageFile, value => $$invalidate(349, $imageFile = value));\n\tcomponent_subscribe($$self, imageSize, value => $$invalidate(321, $imageSize = value));\n\tcomponent_subscribe($$self, mediaDuration, value => $$invalidate(418, $mediaDuration = value));\n\tcomponent_subscribe($$self, mediaTrim, value => $$invalidate(432, $mediaTrim = value));\n\tcomponent_subscribe($$self, imageLoadState, value => $$invalidate(341, $imageLoadState = value));\n\tcomponent_subscribe($$self, imageProcessState, value => $$invalidate(340, $imageProcessState = value));\n\tcomponent_subscribe($$self, imageCropAspectRatio, value => $$invalidate(429, $imageCropAspectRatio = value));\n\tcomponent_subscribe($$self, imageCropLimitToImage, value => $$invalidate(81, $imageCropLimitToImage = value));\n\tcomponent_subscribe($$self, imageCropRect, value => $$invalidate(361, $imageCropRect = value));\n\tcomponent_subscribe($$self, imageRotation, value => $$invalidate(324, $imageRotation = value));\n\tcomponent_subscribe($$self, imageFlipX, value => $$invalidate(323, $imageFlipX = value));\n\tcomponent_subscribe($$self, imageFlipY, value => $$invalidate(322, $imageFlipY = value));\n\tcomponent_subscribe($$self, imageBackgroundColor, value => $$invalidate(331, $imageBackgroundColor = value));\n\tcomponent_subscribe($$self, imageDecoration, value => $$invalidate(48, $imageDecoration = value));\n\tcomponent_subscribe($$self, imageAnnotation, value => $$invalidate(49, $imageAnnotation = value));\n\tcomponent_subscribe($$self, imageRedaction, value => $$invalidate(329, $imageRedaction = value));\n\tcomponent_subscribe($$self, imageFrame, value => $$invalidate(47, $imageFrame = value));\n\tcomponent_subscribe($$self, imageState, value => $$invalidate(417, $imageState = value));\n\n\tconst createImageSrcLoader = (src, token, minDuration = 0) => new Promise((resolve, reject) => {\n\t\t\t// is a video\n\t\t\tif (isVideoFile(src)) {\n\t\t\t\tconst metadataReader = isFirefox()\n\t\t\t\t? getVideoFileRotationMetadata(src)\n\t\t\t\t: Promise.resolve();\n\n\t\t\t\tmetadataReader.then(rotation => {\n\t\t\t\t\t// let's load this source as a video file\n\t\t\t\t\tconst video = document.createElement('video');\n\n\t\t\t\t\tvideo.onerror = () => console.error(video.error);\n\t\t\t\t\tvideo.playsInline = true;\n\t\t\t\t\tvideo.preload = 'auto';\n\n\t\t\t\t\tvideo.onloadeddata = () => {\n\t\t\t\t\t\tvideo.onloadeddata = undefined;\n\t\t\t\t\t\tvideo.dataset.rotation = rotation;\n\n\t\t\t\t\t\tvideoFixDuration(video).then(() => {\n\t\t\t\t\t\t\tconst time = willSetMediaInitialTimeOffset(video.duration, $mediaTrim || [[0, 1]]);\n\n\t\t\t\t\t\t\t// need to wait till seeked to center pos\n\t\t\t\t\t\t\tif (time > 0) {\n\t\t\t\t\t\t\t\tvideo.onseeked = () => {\n\t\t\t\t\t\t\t\t\tvideo.onseeked = undefined;\n\t\t\t\t\t\t\t\t\tresolve(video);\n\t\t\t\t\t\t\t\t};\n\n\t\t\t\t\t\t\t\tvideo.currentTime = time;\n\t\t\t\t\t\t\t} else // can just get started right away\n\t\t\t\t\t\t\t{\n\t\t\t\t\t\t\t\tvideo.currentTime = time;\n\t\t\t\t\t\t\t\tresolve(video);\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t});\n\t\t\t\t\t};\n\n\t\t\t\t\tvideo.src = URL.createObjectURL(src);\n\n\t\t\t\t\t// this is needed to trigger load on iOS Safari\n\t\t\t\t\tvideo.load();\n\t\t\t\t});\n\n\t\t\t\treturn;\n\t\t\t}\n\n\t\t\tlet cancelled = false;\n\t\t\tlet timer;\n\t\t\ttoken.cancel = () => cancelled = true;\n\t\t\tconst now = Date.now();\n\n\t\t\timageSourceToImageData(src).then(imageData => {\n\t\t\t\tconst dist = Date.now() - now;\n\t\t\t\tclearTimeout(timer);\n\n\t\t\t\ttimer = setTimeout(\n\t\t\t\t\t() => {\n\t\t\t\t\t\tif (cancelled) return;\n\t\t\t\t\t\tresolve(imageData);\n\t\t\t\t\t},\n\t\t\t\t\tMath.max(0, minDuration - dist)\n\t\t\t\t);\n\t\t\t}).catch(reject);\n\t\t});\n\n\tconst { images, shapePreprocessor, imageScrambler, imageRedactionRendering, willRequest, willRequestResource } = stores;\n\tcomponent_subscribe($$self, images, value => $$invalidate(370, $images = value));\n\tcomponent_subscribe($$self, shapePreprocessor, value => $$invalidate(369, $shapePreprocessor = value));\n\tcomponent_subscribe($$self, imageScrambler, value => $$invalidate(332, $imageScrambler = value));\n\tcomponent_subscribe($$self, imageRedactionRendering, value => $$invalidate(330, $imageRedactionRendering = value));\n\tcomponent_subscribe($$self, willRequest, value => $$invalidate(77, $willRequest = value));\n\tcomponent_subscribe($$self, willRequestResource, value => $$invalidate(87, $willRequestResource = value));\n\tlet backgroundImageDataCancelToken;\n\n\tconst imageBackgroundImageData = derived(imageBackgroundImageSrc, ($backgroundImageSrc, set) => {\n\t\tif (!$backgroundImageSrc) return set(undefined);\n\n\t\t// cancel existing loader\n\t\tif (backgroundImageDataCancelToken) {\n\t\t\tbackgroundImageDataCancelToken.cancel();\n\t\t\tbackgroundImageDataCancelToken = undefined;\n\t\t}\n\n\t\t// new cancel token\n\t\tbackgroundImageDataCancelToken = { cancel: noop$1 };\n\n\t\tcreateImageSrcLoader($backgroundImageSrc, backgroundImageDataCancelToken).then(set).catch(err => {\n\t\t\t// log to console for debugging purposes\n\t\t});\n\t});\n\n\t// let the world know about state changes\n\tconst imageStateUnsub = imageState.subscribe(state => eventProxy.pub('update', state));\n\n\t// this will hold the currently selected util\n\tconst utilSelectedStore = writable();\n\n\t// current editor UI state\n\tconst uiState = writable({});\n\n\tsetContext('ui', uiState);\n\n\t// utils can toggle pan and zoom\n\tconst allowPan = writable(true);\n\n\tcomponent_subscribe($$self, allowPan, value => $$invalidate(89, $allowPan = value));\n\tconst allowZoom = writable(true);\n\tcomponent_subscribe($$self, allowZoom, value => $$invalidate(91, $allowZoom = value));\n\tconst allowZoomControls = writable(true);\n\tcomponent_subscribe($$self, allowZoomControls, value => $$invalidate(368, $allowZoomControls = value));\n\tconst enablePanInputStore = writable(true);\n\tcomponent_subscribe($$self, enablePanInputStore, value => $$invalidate(430, $enablePanInputStore = value));\n\tconst enableZoomInputStore = writable(true);\n\tcomponent_subscribe($$self, enableZoomInputStore, value => $$invalidate(92, $enableZoomInputStore = value));\n\n\t// so controls can be disabled from other component\n\tconst enableZoomControlsProp = writable();\n\n\tcomponent_subscribe($$self, enableZoomControlsProp, value => $$invalidate(93, $enableZoomControlsProp = value));\n\n\t// so we can derive pan input status\n\tconst enablePanInputProp = writable();\n\n\tcomponent_subscribe($$self, enablePanInputProp, value => $$invalidate(431, $enablePanInputProp = value));\n\n\t// current pan input status\n\tconst enablePanInputStatus = derived([enablePanInputProp, enablePanInputStore], (() => $enablePanInputProp !== undefined\n\t? $enablePanInputProp\n\t: $enablePanInputStore));\n\n\tcomponent_subscribe($$self, enablePanInputStatus, value => $$invalidate(90, $enablePanInputStatus = value));\n\n\t//\n\t// handles the view rect size, makes sure it is offset from the top\n\t//\n\t// root element reference used to read styles\n\tconst rootBackgroundColor = writable([0, 0, 0]);\n\n\tcomponent_subscribe($$self, rootBackgroundColor, value => $$invalidate(55, $rootBackgroundColor = value));\n\tconst rootForegroundColor = writable([1, 1, 1]);\n\tcomponent_subscribe($$self, rootForegroundColor, value => $$invalidate(414, $rootForegroundColor = value));\n\tconst rootLineColor = spring([1, 1, 1]);\n\tcomponent_subscribe($$self, rootLineColor, value => $$invalidate(413, $rootLineColor = value));\n\tconst rootColorSecondary = writable();\n\n\t// client rect is the editor rect excluding scroll offset\n\tconst clientRect = writable();\n\n\tcomponent_subscribe($$self, clientRect, value => $$invalidate(50, $clientRect = value));\n\n\t// root rect is the editor rect including scroll offset\n\tconst rootRect = writable();\n\n\tcomponent_subscribe($$self, rootRect, value => $$invalidate(326, $rootRect = value));\n\n\t// when in overlay mode force aspect ratio to aspect ratio of editor root\n\tconst syncRootAspectRatio = () => {\n\t\t// get current aspect ratio and get next aspect ratio, compare, if different, reset\n\t\tconst currentAspectRatio = $imageCropAspectRatio;\n\n\t\tconst nextAspectRatio = rectAspectRatio($rootRect);\n\t\tif (currentAspectRatio && currentAspectRatio === nextAspectRatio) return;\n\n\t\t// set aspect ratio\n\t\timageCropAspectRatio.set(rectAspectRatio($rootRect));\n\n\t\t// need to set history 0 point to this state\n\t\tsetInitialHistoryState();\n\t};\n\n\tconst tabRect = writable(rectCreateEmpty());\n\tcomponent_subscribe($$self, tabRect, value => $$invalidate(76, $tabRect = value));\n\tconst rootInsetTop = writable(0);\n\tcomponent_subscribe($$self, rootInsetTop, value => $$invalidate(367, $rootInsetTop = value));\n\n\t// const rootInsetBottom = writable(0); // not needed yet\n\tconst toolRect = writable(rectCreateEmpty());\n\n\tcomponent_subscribe($$self, toolRect, value => $$invalidate(80, $toolRect = value));\n\tconst utilRect = writable(); // is undefined because we wait till util is set before defining stage rect\n\tcomponent_subscribe($$self, utilRect, value => $$invalidate(411, $utilRect = value));\n\n\t//\n\t// environment\n\t//\n\tconst pointerAccuracy = mediaQueryStore('(pointer: fine)', matches => matches ? 'pointer-fine' : 'pointer-coarse');\n\n\tcomponent_subscribe($$self, pointerAccuracy, value => $$invalidate(347, $pointerAccuracy = value));\n\tconst pointerHoverable = mediaQueryStore('(hover: hover)', matches => matches ? 'pointer-hover' : 'pointer-no-hover');\n\tcomponent_subscribe($$self, pointerHoverable, value => $$invalidate(346, $pointerHoverable = value));\n\n\t//\n\t// app API\n\t//\n\tconst isTransformingImage = writable(false);\n\n\tconst isInteracting = writable(false);\n\tcomponent_subscribe($$self, isInteracting, value => $$invalidate(327, $isInteracting = value));\n\n\tconst isInteractingFraction = readable(undefined, set => {\n\t\tconst animator = spring(0);\n\n\t\tconst updater = value => {\n\t\t\tanimator.set(value ? 1 : 0);\n\t\t};\n\n\t\tconst subs = [isInteracting.subscribe(updater), animator.subscribe(set)];\n\n\t\t// destroy subs\n\t\treturn () => subs.forEach(unsub => unsub());\n\t});\n\n\tcomponent_subscribe($$self, isInteractingFraction, value => $$invalidate(412, $isInteractingFraction = value));\n\n\t// create animation stores\n\tconst shouldAnimate = writable();\n\n\tcomponent_subscribe($$self, shouldAnimate, value => $$invalidate(416, $shouldAnimate = value));\n\tconst isAnimated = writable();\n\tcomponent_subscribe($$self, isAnimated, value => $$invalidate(52, $isAnimated = value));\n\n\t// Animations based on prefers-reduced-motion, automatically checks if user prefers reduced animations\n\tsetContext('isAnimated', isAnimated);\n\n\t// this makes sure animations don't run right after the editor is recovering from zero size state\n\tlet canRenderDelayed;\n\n\tconst previewShouldUpscale = writable(previewUpscale);\n\tcomponent_subscribe($$self, previewShouldUpscale, value => $$invalidate(350, $previewShouldUpscale = value));\n\n\t//\n\t// image related\n\t//\n\tconst imageIsStatic = writable(false); // if is set to true image is selection is dragged\n\n\tcomponent_subscribe($$self, imageIsStatic, value => $$invalidate(423, $imageIsStatic = value));\n\tsetContext('imageIsStatic', imageIsStatic);\n\tconst imageCropRectSnapshot = writable();\n\tcomponent_subscribe($$self, imageCropRectSnapshot, value => $$invalidate(424, $imageCropRectSnapshot = value));\n\tconst imageCropRectIntent = writable(); // should always be set before setting `imageCropRect`\n\tcomponent_subscribe($$self, imageCropRectIntent, value => $$invalidate(421, $imageCropRectIntent = value));\n\n\tconst imageCropRectPresentation = readable(undefined, set => {\n\t\tconst animator = writable(undefined);\n\n\t\tconst update = () => {\n\t\t\tif (!$imageCropRect) return;\n\n\t\t\t// no elasticity needed when dragging crop selection\n\t\t\tif ($imageIsStatic) return animator.set(rectClone$1($imageCropRect));\n\n\t\t\t// apply elasticity\n\t\t\tconst elasticRect = elastifyRects($imageCropRect, $imageCropRectIntent, imageCropRectElasticity * elasticityMultiplier);\n\n\t\t\tanimator.set(elasticRect);\n\t\t};\n\n\t\tconst subs = [\n\t\t\t// need to update presentation rect when crop rect is updated\n\t\t\timageCropRect.subscribe(update),\n\t\t\t// update parent store\n\t\t\tanimator.subscribe(set)\n\t\t];\n\n\t\treturn () => subs.forEach(unsub => unsub());\n\t});\n\n\tconst imageSelectionRect = writable();\n\tcomponent_subscribe($$self, imageSelectionRect, value => $$invalidate(420, $imageSelectionRect = value));\n\tconst imageSelectionRectSnapshot = writable();\n\tcomponent_subscribe($$self, imageSelectionRectSnapshot, value => $$invalidate(422, $imageSelectionRectSnapshot = value));\n\tconst imageSelectionRectIntent = writable(undefined); // should always be set before setting `imageSelectionRect`\n\tcomponent_subscribe($$self, imageSelectionRectIntent, value => $$invalidate(427, $imageSelectionRectIntent = value));\n\tconst imageSelectionRectOffset = writable(vectorCreateEmpty());\n\tcomponent_subscribe($$self, imageSelectionRectOffset, value => $$invalidate(428, $imageSelectionRectOffset = value));\n\n\tconst getFrameOutset = (presentationRect, imageFrame) => {\n\t\tif (!imageFrame || !presentationRect) return { top: 0, right: 0, bottom: 0, left: 0 };\n\t\tconst shapes = shapesFromCompositShape(imageFrame, presentationRect, preprocessShape);\n\t\tconst bounds = shapesBounds(shapes, presentationRect);\n\n\t\treturn {\n\t\t\ttop: Math.abs(bounds.top),\n\t\t\tright: Math.abs(bounds.right),\n\t\t\tbottom: Math.abs(bounds.bottom),\n\t\t\tleft: Math.abs(bounds.left)\n\t\t};\n\t};\n\n\t// let stageRecenterPrev;\n\tconst stageRecenter = writable({});\n\n\tconst stageRectBase = derived([utilRect, tabRect, toolRect, stageRecenter], ([$utilRect, $tabRect, $toolRect, $stageRecenter], set) => {\n\t\tif (!$utilRect) return set(undefined);\n\t\tlet utilOffsetY = 0;\n\n\t\t// if only one util active, we don't have util tabs, so add additional offset\n\t\tif (utilsFiltered.length === 1 && !isOverlayModeEnabled && layoutVerticalToolbarPreference !== 'bottom') {\n\t\t\tutilOffsetY = $toolRect.y + $toolRect.height;\n\t\t}\n\n\t\tset(rectCreate($utilRect.x + $tabRect.x, $utilRect.y + $tabRect.y + utilOffsetY, $utilRect.width, $utilRect.height));\n\t});\n\n\tlet prevStagePadding = { left: 0, right: 0, top: 0, bottom: 0 };\n\tconst shouldPadPreview = writable(false);\n\n\tconst stagePadding = derived([shouldPadPreview, imageFrame, stageRectBase, isInteracting], ([$shouldPadPreview, $imageFrame, $stageRectBase, $isInteracting], set) => {\n\t\tif (!$stageRectBase) {\n\t\t\treturn set({ left: 0, right: 0, top: 0, bottom: 0 });\n\t\t}\n\n\t\t// exit\n\t\tif (!$shouldPadPreview) return;\n\n\t\t// a sane default padding around a frame\n\t\tconst size = Math.min($stageRectBase.width, $stageRectBase.height);\n\n\t\t// set frame padding\n\t\tconst newStagePadding = getFrameOutset({ width: size, height: size }, $imageFrame);\n\n\t\t// exit if no value changes\n\t\tif (fixPrecision(prevStagePadding.top, 4) === fixPrecision(newStagePadding.top, 4) && fixPrecision(prevStagePadding.bottom, 4) === fixPrecision(newStagePadding.bottom, 4) && fixPrecision(prevStagePadding.right, 4) === fixPrecision(newStagePadding.right, 4) && fixPrecision(prevStagePadding.left, 4) === fixPrecision(newStagePadding.left, 4)) return;\n\n\t\tprevStagePadding = newStagePadding;\n\t\tset(newStagePadding);\n\t});\n\n\tcomponent_subscribe($$self, stagePadding, value => $$invalidate(359, $stagePadding = value));\n\n\tconst stagePadded = derived([shouldPadPreview, stagePadding], ([$shouldPadPreview, $stagePadding], set) => {\n\t\tif (!$shouldPadPreview) return set(false);\n\t\tset(Object.values($stagePadding).some(value => value > 0));\n\t});\n\n\tcomponent_subscribe($$self, stagePadded, value => $$invalidate(360, $stagePadded = value));\n\n\tconst utilRectPadded = derived([shouldPadPreview, utilRect, stagePadded, stagePadding], ([$shouldPadPreview, $utilRect, $stagePadded, $stagePadding], set) => {\n\t\tif (!$utilRect) return;\n\t\tif (!$shouldPadPreview || !$stagePadded) return set({ ...$utilRect });\n\t\tset(rectCreate($utilRect.x + $stagePadding.left, $utilRect.y + $stagePadding.top, $utilRect.width - $stagePadding.left - $stagePadding.right, $utilRect.height - $stagePadding.top - $stagePadding.bottom));\n\t});\n\n\tconst stageRect = derived([stageRectBase, stagePadded, stagePadding], ([$stageRectBase, $stagePadded, $stagePadding], set) => {\n\t\tif (!$stageRectBase) return set(undefined);\n\t\tif (!$stagePadded) return set($stageRectBase);\n\t\tset(rectCreate($stageRectBase.x + $stagePadding.left, $stageRectBase.y + $stagePadding.top, $stageRectBase.width - $stagePadding.left - $stagePadding.right, $stageRectBase.height - $stagePadding.top - $stagePadding.bottom));\n\t});\n\n\tcomponent_subscribe($$self, stageRect, value => $$invalidate(325, $stageRect = value));\n\n\tconst imageStaticCorners = derived([imageIsStatic, imageSize, imageRotation], ([$imageIsStatic, $imageSize, $imageRotation], set) => {\n\t\t// no need for bounds measuring if is not static image\n\t\tif (!$imageIsStatic || !$imageSize) return set(undefined);\n\n\t\tconst rect = rectCreateFromSize($imageSize);\n\t\tconst rectRotatedCorners = rectRotate(rect, $imageRotation);\n\t\tset(rectRotatedCorners);\n\t});\n\n\tconst imageStaticBounds = derived([imageStaticCorners], ([$imageStaticCorners], set) => {\n\t\tif (!$imageStaticCorners) return set(undefined);\n\t\tconst rectRotated = rectCreateFromPoints($imageStaticCorners);\n\t\tset(rectNormalizeOffset(rectRotated));\n\t});\n\n\tcomponent_subscribe($$self, imageStaticBounds, value => $$invalidate(362, $imageStaticBounds = value));\n\n\tconst stageScalar = derived([stageRect, imageCropRect, imageStaticBounds, previewShouldUpscale], ([$stageRect, $imageCropRect, $imageStaticBounds, $previewShouldUpscale], set) => {\n\t\tconst isManipulatingImageCropRect = !!($imageCropRectSnapshot || $imageCropRectIntent);\n\n\t\t// update stage scalar, the crop output size relative to the stage, if image fits it's 1\n\t\tif (!$stageRect || !$imageCropRect || isManipulatingImageCropRect) return;\n\n\t\t// use image bounds instead of crop\n\t\tconst { width, height } = $imageStaticBounds || $imageCropRect;\n\n\t\t// calculate scale factor needed to fit crop rect to stage\n\t\tconst scalar = Math.min($stageRect.width / width, $stageRect.height / height);\n\n\t\t// always scaled down to fit stage, if is allowed to upscale, zoom to fit stage\n\t\tconst scale = $previewShouldUpscale ? scalar : Math.min(1, scalar);\n\n\t\tset(scale);\n\t});\n\n\tcomponent_subscribe($$self, stageScalar, value => $$invalidate(363, $stageScalar = value));\n\n\tconst imageStaticVisualCorners = derived([imageIsStatic, imageSize, imageRotation, stageRect, utilRect, stageScalar], ([\n\t\t\t$imageIsStatic,\n\t\t\t$imageSize,\n\t\t\t$imageRotation,\n\t\t\t$stageRect,\n\t\t\t$utilRect,\n\t\t\t$stageScalar\n\t\t], set) => {\n\t\t// no need for bounds measuring if is not static image\n\t\tif (!$imageIsStatic || !$stageRect || !$utilRect || !$imageSize) return set(undefined);\n\n\t\tconst rect = rectCreateFromSize($imageSize);\n\t\tconst rectScaled = rectNormalizeOffset(rectScale$1(rect, $stageScalar));\n\t\tconst rectCentered = rectCenterRect($stageRect, rectScaled);\n\t\trectScaled.x = rectCentered.x;\n\t\trectScaled.y = rectCentered.y;\n\t\tconst rectRotatedCorners = rectRotate(rectScaled, $imageRotation);\n\t\tset(rectRotatedCorners);\n\t});\n\n\tsetContext('imageStaticVisualCorners', imageStaticVisualCorners);\n\n\t//\n\t// Image selection\n\t//\n\tconst imageSelectionZoom = writable(undefined);\n\n\tcomponent_subscribe($$self, imageSelectionZoom, value => $$invalidate(365, $imageSelectionZoom = value));\n\n\tconst imageSelectionStageFitScalar = derived([imageCropRect, stageRect], ([$imageCropRect, $stageRect]) => {\n\t\t// wait a bit\n\t\tif (!$stageRect || !$imageCropRect) return undefined;\n\n\t\treturn Math.min($stageRect.width / $imageCropRect.width, $stageRect.height / $imageCropRect.height);\n\t});\n\n\tconst imageSelectionRectScalar = derived([imageCropRect, imageSelectionRect], ([$imageCropRect, $imageSelectionRect]) => {\n\t\t// wait a bit\n\t\tif (!$imageCropRect || !$imageSelectionRect) return 1;\n\n\t\treturn Math.min($imageCropRect.width / $imageSelectionRect.width, $imageCropRect.height / $imageSelectionRect.height);\n\t});\n\n\tcomponent_subscribe($$self, imageSelectionRectScalar, value => $$invalidate(95, $imageSelectionRectScalar = value));\n\n\tconst imageSelectionScalar = derived([imageSelectionZoom, imageSelectionRectScalar], ([$imageSelectionZoom, $imageSelectionRectScalar]) => {\n\t\t// wait a bit\n\t\tif (!$imageSelectionZoom || !$imageSelectionRectScalar) return 1;\n\n\t\t// calculate scalar  to get actual image size\n\t\treturn $imageSelectionRectScalar * $imageSelectionZoom;\n\t});\n\n\tcomponent_subscribe($$self, imageSelectionScalar, value => $$invalidate(426, $imageSelectionScalar = value));\n\tconst imageSelectionPan = writable(vectorCreateEmpty());\n\tcomponent_subscribe($$self, imageSelectionPan, value => $$invalidate(364, $imageSelectionPan = value));\n\n\tconst imageSelectionStoredState = writable({\n\t\tscalar: $imageSelectionScalar,\n\t\ttranslation: $imageSelectionPan\n\t});\n\n\tconst imageSelectionStoredStateReset = () => {\n\t\timageSelectionStoredState.set({\n\t\t\tscalar: undefined,\n\t\t\ttranslation: vectorCreateEmpty()\n\t\t});\n\t};\n\n\tconst imageSelectionRectPresentation = readable(undefined, set => {\n\t\tconst animator = spring(undefined, { precision: 0.0001 });\n\n\t\tconst snapPixels = getDevicePixelRatio() === 1\n\t\t? rect => rectApply(rect, Math.round)\n\t\t: passthrough;\n\n\t\tconst updater = () => {\n\t\t\tif (!$imageSelectionRect) return;\n\t\t\tconst instantUpdate = $isInteracting || !$shouldAnimate;\n\n\t\t\t// no elasticity needed if image is fixed\n\t\t\tif ($imageIsStatic) {\n\t\t\t\tconst rect = rectClone$1($imageSelectionRect);\n\t\t\t\trectTranslate$1(rect, $imageSelectionRectOffset);\n\t\t\t\trectTranslate$1(rect, $stageRect);\n\t\t\t\treturn animator.set(rect, { hard: instantUpdate });\n\t\t\t}\n\n\t\t\tconst elasticRect = elastifyRects($imageSelectionRect, $imageSelectionRectIntent, imageSelectionRectElasticity * elasticityMultiplier);\n\n\t\t\t// prevent negative size (can happen because of elastics)\n\t\t\tif (elasticRect.width < 0) {\n\t\t\t\telasticRect.width = 0;\n\t\t\t\telasticRect.x = $imageSelectionRect.x;\n\t\t\t}\n\n\t\t\tif (elasticRect.height < 0) {\n\t\t\t\telasticRect.height = 0;\n\t\t\t\telasticRect.y = $imageSelectionRect.y;\n\t\t\t}\n\n\t\t\t// translate elastic rect x,y by stage rect x,y\n\t\t\trectTranslate$1(elasticRect, $stageRect);\n\n\t\t\t// translate\n\t\t\trectTranslate$1(elasticRect, $imageSelectionPan);\n\n\t\t\t// scale to zoom in view\n\t\t\trectScale$1(elasticRect, $imageSelectionScalar);\n\n\t\t\t// round to pixels on low res displays\n\t\t\t!instantUpdate && snapPixels(elasticRect);\n\n\t\t\tanimator.set(elasticRect, { hard: instantUpdate });\n\t\t};\n\n\t\tconst subs = [\n\t\t\t// need to update selection rect when stage is resized\n\t\t\tstageRect.subscribe(updater),\n\t\t\t// listen for selection rect changes (as is assigned rect will always trigger, even if assigned same rect, this is needed to also update when intent changes)\n\t\t\timageSelectionRect.subscribe(updater),\n\t\t\t// if selection scalar changes need to update presentation\n\t\t\timageSelectionScalar.subscribe(updater),\n\t\t\timageSelectionPan.subscribe(updater),\n\t\t\t// need to update if frame exceeds bounds\n\t\t\timageFrame.subscribe(updater),\n\t\t\t// update parent store\n\t\t\tanimator.subscribe(set)\n\t\t];\n\n\t\t// destroy subs\n\t\treturn () => subs.forEach(unsub => unsub());\n\t});\n\n\tcomponent_subscribe($$self, imageSelectionRectPresentation, value => $$invalidate(57, $imageSelectionRectPresentation = value));\n\tconst imageSelectionRectStaticScalar = writable(1);\n\tcomponent_subscribe($$self, imageSelectionRectStaticScalar, value => $$invalidate(419, $imageSelectionRectStaticScalar = value));\n\n\tconst centerImageStaticBounds = () => {\n\t\tif (!$imageCropRect || !$stageRect) return;\n\t\tlet rect = rectMultiply(rectClone$1($imageCropRect), $stageScalar || 1);\n\t\tconst rectOffset = rectCenterRect($stageRect, rectMultiply(rectClone$1($imageStaticBounds), $stageScalar));\n\t\trectTranslate$1(rect, rectOffset);\n\t\tconst selectionScaledWidth = $utilRect.width / rect.width;\n\t\tconst selectionScaledHeight = $utilRect.height / rect.height;\n\t\tconst scalar = Math.min(1, selectionScaledWidth, selectionScaledHeight);\n\t\timageSelectionRectStaticScalar.set(scalar);\n\t\trectScale$1(rect, scalar);\n\n\t\t// limit selection rect to util bounds\n\t\trectOffsetInRect(rect, { ...$utilRect, x: 0, y: 0 });\n\n\t\timageSelectionRect.set(rect);\n\t};\n\n\t//\n\tconst imageSelectionRectCentered = derived([stageRect, stageScalar, imageCropRect, imageSize], ([$stageRect, $stageScalar, $imageCropRect, $imageSize], set) => {\n\t\t// not ready yet\n\t\tif (!$stageRect || !$imageCropRect && !$imageSize) return;\n\n\t\tset(getImageSelectionRectCentered($stageRect, $stageScalar || 1, $imageCropRect || $imageSize));\n\t});\n\n\tcomponent_subscribe($$self, imageSelectionRectCentered, value => $$invalidate(94, $imageSelectionRectCentered = value));\n\n\tconst getImageSelectionRectCentered = (stageRect, stageScalar, cropRect) => {\n\t\tconst imageCropRectFitsStage = cropRect.width <= stageRect.width && cropRect.height <= stageRect.height;\n\n\t\t// if we have a crop rect and it fits the stage, center it\n\t\treturn imageCropRectFitsStage\n\t\t? // center the crop rectangle to the stage\n\t\t\trectCenterRect(stageRect, rectMultiply(rectClone$1(cropRect), stageScalar))\n\t\t: // render a rectangle based on the fixed crop aspect ratio, or the aspect ratio of the current crop rectangle, or as a last resort the input image\n\t\t\trectContainRect(stageRect, rectAspectRatio(cropRect));\n\t};\n\n\t// when scaling the stage we need to recenter the image selection\n\tlet stageRectPrev;\n\n\tlet stageScalePrev;\n\n\tconst calculateImageSelectionRect = stageRectCurrent => {\n\t\t// don't recalculate if no change\n\t\tif (isOverlayModeEnabled && stageRectPrev && rectEqual(stageRectPrev, stageRectCurrent) && stageScalePrev === $stageScalar) return;\n\n\t\t// position relative to image itself\n\t\tif ($imageIsStatic) return centerImageStaticBounds();\n\n\t\t// remember so we can compare later on if has changed\n\t\tstageRectPrev = stageRectCurrent;\n\n\t\tstageScalePrev = $stageScalar;\n\t\tconst centeredImageSelectionRect = getImageSelectionRectCentered(stageRectCurrent, $stageScalar, $imageCropRect || $imageSize);\n\t\timageSelectionRect.set(centeredImageSelectionRect);\n\t};\n\n\t// this runs once so we use the correct scale for the initial image selection rect\n\tlet hasSetInitialStageScalar = false;\n\n\tconst stageScalarUnsub = stageScalar.subscribe(scalar => {\n\t\t// can't recalculate without these prosp\n\t\tif (hasSetInitialStageScalar || scalar === undefined || !$imageCropRect) return;\n\n\t\tcalculateImageSelectionRect($stageRect);\n\t\thasSetInitialStageScalar = true;\n\t});\n\n\t// this recenters the crop when the window/stage is resized\n\tconst stageRectUnsub = stageRect.subscribe(rect => {\n\t\t// can't recalculate without these prosp\n\t\tif (!rect || $stageScalar === undefined || !$imageCropRect) return;\n\n\t\tcalculateImageSelectionRect(rect);\n\t});\n\n\tconst imageIsStaticUnsub = imageIsStatic.subscribe(isStatic => {\n\t\tif (!isStatic && $stageRect) calculateImageSelectionRect($stageRect);\n\t});\n\n\t// if we've taken a snapshot of the selection, also take a snapshot of the crop rect and the presentationScalar\n\t// - cropRect so we can adjust it based on the adjustments to the imageSelectionRect\n\t// - presentationScalar so we can use the snapshot for the calculation of the cropRect scale relative to the original imageSelectionRect (if we use the live $presentationScalar small rounding errors of the scalar result in weird glitches)\n\tlet presentationScalarSnapshot;\n\n\tconst imageSelectionRectSnapshotUnsub = imageSelectionRectSnapshot.subscribe(rect => {\n\t\tif (!rect) {\n\t\t\tpresentationScalarSnapshot = undefined;\n\t\t\tset_store_value(imageCropRectSnapshot, $imageCropRectSnapshot = undefined, $imageCropRectSnapshot);\n\t\t\treturn;\n\t\t}\n\n\t\tpresentationScalarSnapshot = $presentationScalar;\n\t\tconst cropRectClone = rectClone$1($imageCropRect);\n\t\timageCropRectSnapshot.set(cropRectClone);\n\t});\n\n\t// if image selection rect is being manipulated, and imageSelectionRectSnapshot has been defined, we also need to update the crop rect\n\tconst imageSelectionRectUnsub = imageSelectionRect.subscribe(rect => {\n\t\t// only sync crop rect with image selection rect when no longer manipulating\n\t\tif (!rect || !$imageSelectionRectSnapshot) return;\n\n\t\tconst offset = rectSubtract(rectClone$1(rect), $imageSelectionRectSnapshot);\n\t\trectDivide(offset, presentationScalarSnapshot);\n\t\tconst crop = rectAdd(rectClone$1($imageCropRectSnapshot), offset);\n\t\timageCropRect.set(crop);\n\t});\n\n\tconst updateImageSelectionRect = rect => {\n\t\t// if no rect, we can't do anything\n\t\t// if no selection rect yet, we wait for a selection rect to be loaded\n\t\tif (!rect || !$imageSelectionRect) return;\n\n\t\t// if image is static we only have to keep centering it\n\t\tif ($imageIsStatic) {\n\t\t\t// keep centering\n\t\t\tif (!$imageSelectionRectSnapshot) centerImageStaticBounds();\n\n\t\t\treturn;\n\t\t}\n\n\t\t// don't update image selection rect while we're intertacting with the view, this prevents feedback loop from cropRect model updates\n\t\tif ($isInteracting || $imageSelectionRectSnapshot || $imageCropRectIntent) return;\n\n\t\t// only if crop aspect ratio differs from image selection aspect ratio we update image selection rectangle\n\t\tconst imageSelectionRectAspectRatio = rectAspectRatio($imageSelectionRect);\n\n\t\tconst cropRectAspectRatio = rectAspectRatio(rect);\n\t\tif (fixPrecision(imageSelectionRectAspectRatio, 6) === fixPrecision(cropRectAspectRatio, 6)) return;\n\n\t\t// TEMP DUPLICATE OF STAGESCALAR DERIVED STORE TO FIX ZOOM OUT AFTER WHEEL ISSUE\n\t\t// reproduce -> crop view => resize selection rect vertically, tap recenter, zoom out with scroll wheel\n\t\tconst { width, height } = $imageStaticBounds || $imageCropRect;\n\n\t\tconst scalar = Math.min($stageRect.width / width, $stageRect.height / height);\n\t\tconst size = sizeCreate(rect.width * scalar, rect.height * scalar);\n\t\tconst tx = ($imageSelectionRect.width - size.width) * 0.5;\n\t\tconst ty = ($imageSelectionRect.height - size.height) * 0.5;\n\t\tconst selectionRect = rectCreate($imageSelectionRect.x + tx, $imageSelectionRect.y + ty, size.width, size.height);\n\t\timageSelectionRect.set(selectionRect);\n\t};\n\n\tconst imageCropRectUnsub = imageCropRect.subscribe(updateImageSelectionRect);\n\n\tconst imageScalar = derived([stageScalar, imageCropRect, imageSelectionRect, imageIsStatic], ([$stageScalar, $imageCropRect, $imageSelectionRect, $imageIsStatic], set) => {\n\t\t// update the image scalar, the image zoom calculated by the image selection and the actual crop coordinates\n\t\tif (!$stageScalar || !$imageCropRect || !$imageSelectionRect) return;\n\n\t\t// if image static bound set, the image is always centered in view\n\t\tif ($imageIsStatic) return set($imageSelectionRectStaticScalar);\n\n\t\tconst selectionScaledWidth = $imageSelectionRect.width / $imageCropRect.width;\n\t\tconst selectionScaledHeight = $imageSelectionRect.height / $imageCropRect.height;\n\t\tconst scalar = Math.max(selectionScaledWidth, selectionScaledHeight) / $stageScalar;\n\t\tset(scalar);\n\t});\n\n\tconst presentationScalar = derived([stageScalar, imageScalar], ([$stageScalar, $imageScalar], set) => {\n\t\t// can't scale presentation if no image scalar defined\n\t\tif (!$imageScalar) return;\n\n\t\tconst scalar = $stageScalar * $imageScalar;\n\t\tset(scalar);\n\t});\n\n\tcomponent_subscribe($$self, presentationScalar, value => $$invalidate(425, $presentationScalar = value));\n\n\t//\n\t// UI Elements\n\t//\n\tlet prevFrameOutset = { left: 0, right: 0, top: 0, bottom: 0 };\n\n\tconst frameOutset = derived([imageFrame, imageSelectionRect], ([$imageFrame, $imageSelectionRect], set) => {\n\t\t// exit\n\t\tif (!$imageSelectionRect) return set(prevFrameOutset);\n\n\t\t// set frame padding\n\t\tconst newFrameOutset = getFrameOutset($imageSelectionRect, $imageFrame);\n\n\t\t// exit if no value changes\n\t\tif (fixPrecision(prevFrameOutset.top, 4) === fixPrecision(newFrameOutset.top, 4) && fixPrecision(prevFrameOutset.bottom, 4) === fixPrecision(newFrameOutset.bottom, 4) && fixPrecision(prevFrameOutset.right, 4) === fixPrecision(newFrameOutset.right, 4) && fixPrecision(prevFrameOutset.left, 4) === fixPrecision(newFrameOutset.left, 4)) return;\n\n\t\tprevFrameOutset = newFrameOutset;\n\t\tset(newFrameOutset);\n\t});\n\n\tconst frameHasOutset = derived([frameOutset], ([$frameOutset], set) => {\n\t\tset(Object.values($frameOutset).some(value => value > 0));\n\t});\n\n\tconst imageOutlineOpacity = spring(0.075, {\n\t\tstiffness: 0.03,\n\t\tdamping: 0.4,\n\t\tprecision: 0.001\n\t});\n\n\tconst imageOutline = derived(\n\t\t[\n\t\t\trootLineColor,\n\t\t\trootBackgroundColor,\n\t\t\timageOutlineOpacity,\n\t\t\timageSelectionRectPresentation,\n\t\t\timageSelectionScalar,\n\t\t\timageFrame,\n\t\t\tframeHasOutset,\n\t\t\tframeOutset,\n\t\t\tstagePadded\n\t\t],\n\t\t([\n\t\t\t\t$rootLineColor,\n\t\t\t\t$rootBackgroundColor,\n\t\t\t\t$colorOpacity,\n\t\t\t\t$rect,\n\t\t\t\t$rectScalar,\n\t\t\t\t$imageFrame,\n\t\t\t\t$frameHasOutset,\n\t\t\t\t$frameOutset,\n\t\t\t\t$stagePadded\n\t\t\t], set) => {\n\t\t\tif (!$rect || isOverlayModeEnabled) return set([]);\n\t\t\tlet { x, y, width, height } = $rect;\n\t\t\tx += 0.5;\n\t\t\ty += 0.5;\n\t\t\twidth -= 0.5;\n\t\t\theight -= 0.5;\n\t\t\tconst shapes = [];\n\n\t\t\tif ($imageFrame) {\n\t\t\t\t// draw dark or bright line around frame to make it stand out from background\n\t\t\t\tif ($frameHasOutset) {\n\t\t\t\t\tlet { left, right, top, bottom } = $frameOutset;\n\t\t\t\t\tleft *= $rectScalar;\n\t\t\t\t\tright *= $rectScalar;\n\t\t\t\t\ttop *= $rectScalar;\n\t\t\t\t\tbottom *= $rectScalar;\n\t\t\t\t\tconst isDarkBackground = isDarkColor($rootBackgroundColor);\n\t\t\t\t\tconst shadeColor = isDarkBackground ? [1, 1, 1, 0.125] : [0, 0, 0, 0.075];\n\n\t\t\t\t\tshapes.push({\n\t\t\t\t\t\tx: x - left - 0.5,\n\t\t\t\t\t\ty: y - top - 0.5,\n\t\t\t\t\t\twidth: width + left + right + 1,\n\t\t\t\t\t\theight: height + top + bottom + 1,\n\t\t\t\t\t\tstrokeWidth: 1,\n\t\t\t\t\t\tstrokeColor: shadeColor,\n\t\t\t\t\t\topacity: $stagePadded ? 1 : 0.5\n\t\t\t\t\t});\n\t\t\t\t}\n\n\t\t\t\t// draw extra shading around edge so crop controls are extra visible\n\t\t\t\tconst isDarkOutline = isDarkColor($rootLineColor);\n\n\t\t\t\tconst isDarkFrame = $imageFrame && $imageFrame.frameColor && isDarkColor($imageFrame.frameColor);\n\n\t\t\t\tif (!isDarkFrame && !isDarkOutline) {\n\t\t\t\t\tshapes.push({\n\t\t\t\t\t\tx: x - 1,\n\t\t\t\t\t\ty: y - 1,\n\t\t\t\t\t\twidth: width + 2,\n\t\t\t\t\t\theight: height + 2,\n\t\t\t\t\t\tstrokeWidth: 2,\n\t\t\t\t\t\tstrokeColor: [0, 0, 0, 0.1],\n\t\t\t\t\t\topacity: $colorOpacity\n\t\t\t\t\t});\n\n\t\t\t\t\tshapes.push({\n\t\t\t\t\t\tx: x + 1,\n\t\t\t\t\t\ty: y + 1,\n\t\t\t\t\t\twidth: width - 2,\n\t\t\t\t\t\theight: height - 2,\n\t\t\t\t\t\tstrokeWidth: 2,\n\t\t\t\t\t\tstrokeColor: [0, 0, 0, 0.1],\n\t\t\t\t\t\topacity: $colorOpacity\n\t\t\t\t\t});\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tset([\n\t\t\t\t// added shapes\n\t\t\t\t...shapes,\n\t\t\t\t// default outline\n\t\t\t\t{\n\t\t\t\t\tx,\n\t\t\t\t\ty,\n\t\t\t\t\twidth,\n\t\t\t\t\theight,\n\t\t\t\t\tstrokeWidth: 1,\n\t\t\t\t\tstrokeColor: $rootLineColor,\n\t\t\t\t\topacity: $colorOpacity\n\t\t\t\t}\n\t\t\t]);\n\t\t}\n\t);\n\n\t// custom markup rendered on top of image\n\tconst imageOverlayMarkup = writable([]);\n\n\tcomponent_subscribe($$self, imageOverlayMarkup, value => $$invalidate(353, $imageOverlayMarkup = value));\n\n\t// the resulting overlay markup\n\tconst imageOverlay = derived([imageOutline, imageOverlayMarkup], ([$imageOutline, $imageOverlayMarkup], set) => {\n\t\tset([...$imageOutline, ...$imageOverlayMarkup]);\n\t});\n\n\tcomponent_subscribe($$self, imageOverlay, value => $$invalidate(88, $imageOverlay = value));\n\n\t//\n\t// Stage overlay\n\t//\n\tconst overlayOpacity = spring(0, { precision: 0.001 });\n\n\tcomponent_subscribe($$self, overlayOpacity, value => $$invalidate(355, $overlayOpacity = value));\n\tconst overlayLeftRect = spring();\n\tcomponent_subscribe($$self, overlayLeftRect, value => $$invalidate(358, $overlayLeftRect = value));\n\tconst overlayTopRect = spring();\n\tcomponent_subscribe($$self, overlayTopRect, value => $$invalidate(357, $overlayTopRect = value));\n\tconst overlayRightRect = spring();\n\tcomponent_subscribe($$self, overlayRightRect, value => $$invalidate(356, $overlayRightRect = value));\n\tconst overlayBottomRect = spring();\n\tcomponent_subscribe($$self, overlayBottomRect, value => $$invalidate(354, $overlayBottomRect = value));\n\n\t//\n\t// Loading the preview\n\t//\n\tconst imageVisualLoadComplete = writable(false);\n\n\tcomponent_subscribe($$self, imageVisualLoadComplete, value => $$invalidate(339, $imageVisualLoadComplete = value));\n\tconst imagePreviewSource = writable();\n\tcomponent_subscribe($$self, imagePreviewSource, value => $$invalidate(342, $imagePreviewSource = value));\n\tlet imagePreviewLoaderCancelToken;\n\n\tconst imagePreview = derived([imageVisualLoadComplete, imagePreviewSource], ([$imageVisualLoadComplete, $imagePreviewSource], set) => {\n\t\t// no data, reset preview data\n\t\tif (!$imageVisualLoadComplete || !$imagePreviewSource) {\n\t\t\tset(undefined);\n\t\t\treturn;\n\t\t}\n\n\t\t// cancel existing loader\n\t\tif (imagePreviewLoaderCancelToken) {\n\t\t\timagePreviewLoaderCancelToken.cancel();\n\t\t\t$$invalidate(256, imagePreviewLoaderCancelToken = undefined);\n\t\t}\n\n\t\t// if image preview source is a canvas we can update immediately\n\t\tif (isCanvas($imagePreviewSource)) {\n\t\t\t// update image preview to canvas\n\t\t\treturn set(canvasClone($imagePreviewSource));\n\t\t}\n\n\t\t// try not to show preview loader if updating active images array\n\t\tconst minPreviewLoaderDuration = activeImages.length ? 0 : $isAnimated ? 250 : 0;\n\n\t\t// load preview\n\t\t$$invalidate(256, imagePreviewLoaderCancelToken = { cancel: noop$1 });\n\n\t\tcreateImageSrcLoader($imagePreviewSource, imagePreviewLoaderCancelToken, minPreviewLoaderDuration).then(set).catch(err => {\n\t\t\t// update load state\n\t\t\tset_store_value(imageLoadState, $imageLoadState.error = err, $imageLoadState);\n\n\t\t\t// log to console for debugging purposes\n\t\t}).finally(() => {\n\t\t\t// no longer loading\n\t\t\t$$invalidate(256, imagePreviewLoaderCancelToken = undefined);\n\t\t});\n\t});\n\n\t$$subscribe_imagePreview();\n\n\tconst setPreviewVideoPlayState = shouldPlay => {\n\t\t// is not a video\n\t\tif (!$mediaDuration || !$imagePreview) return;\n\n\t\t// toggle play state\n\t\tif (shouldPlay && $imagePreview.paused) {\n\t\t\t$imagePreview.play().catch(() => {\n\t\t\t\t\n\t\t\t}); // paused before could start playing, silence this error for now\n\t\t} else if (!shouldPlay && !$imagePreview.paused) {\n\t\t\t$imagePreview.pause();\n\t\t}\n\t};\n\n\tconst setPreviewVideoMuteState = isMuted => {\n\t\t// is not a video\n\t\tif (!$mediaDuration || !$imagePreview) return;\n\n\t\t// toggle mute state\n\t\tconst videoElement = $imagePreview;\n\n\t\tvideoElement.muted = isMuted;\n\t};\n\n\tlet { imagePreviewCurrent = undefined } = $$props;\n\n\t//\n\t// Calculates the image transforms and effects necessary for the preview\n\t//\n\tconst imagePreviewModifiers = writable({});\n\n\tcomponent_subscribe($$self, imagePreviewModifiers, value => $$invalidate(344, $imagePreviewModifiers = value));\n\tconst interfaceImages = writable([]);\n\tcomponent_subscribe($$self, interfaceImages, value => $$invalidate(82, $interfaceImages = value));\n\n\t// reset image UI previews when new file is loaded\n\tconst resetPreviews = () => {\n\t\timageSelectionPan.set(vectorCreateEmpty());\n\t\timageSelectionZoom.set(undefined);\n\t\timageSelectionStoredStateReset();\n\t\tinterfaceImages.set([]);\n\t};\n\n\tconst imageTransforms = derived(\n\t\t[\n\t\t\tstageRect,\n\t\t\trootRect,\n\t\t\timageSize,\n\t\t\timageCropRectPresentation,\n\t\t\timageSelectionRect,\n\t\t\tpresentationScalar,\n\t\t\timageRotation,\n\t\t\timageFlipX,\n\t\t\timageFlipY,\n\t\t\timageSelectionScalar,\n\t\t\timageSelectionPan,\n\t\t\tisTransformingImage\n\t\t],\n\t\t([\n\t\t\t\t$stageRect,\n\t\t\t\t$rootRect,\n\t\t\t\t$imageSize,\n\t\t\t\t$imageCropRectPresentation,\n\t\t\t\t$imageSelectionRect,\n\t\t\t\t$presentationScalar,\n\t\t\t\t$imageRotation,\n\t\t\t\t$imageFlipX,\n\t\t\t\t$imageFlipY,\n\t\t\t\t$imageSelectionScalar,\n\t\t\t\t$imageSelectionPan,\n\t\t\t\t$isTransformingImage\n\t\t\t], set) => {\n\t\t\tif (!$stageRect || !$imageSelectionRect) return;\n\t\t\tconst imageTransforms = calculateImageTransforms($stageRect, $rootRect, $imageSize, $imageCropRectPresentation, $imageSelectionRect, $imageSelectionScalar, $imageSelectionPan, $presentationScalar, $imageRotation, $imageFlipX, $imageFlipY);\n\t\t\t!$isTransformingImage && imageTransformsSnapPixels(imageTransforms);\n\t\t\tset(imageTransforms);\n\t\t}\n\t);\n\n\tcomponent_subscribe($$self, imageTransforms, value => $$invalidate(345, $imageTransforms = value));\n\n\tconst imageEffects = derived(\n\t\t[\n\t\t\timageColorMatrix,\n\t\t\timageConvolutionMatrix,\n\t\t\timageGamma,\n\t\t\timageVignette,\n\t\t\timageNoise\n\t\t],\n\t\t([$colorMatrix, $convolutionMatrix, $gamma, $vignette, $noise], set) => {\n\t\t\tconst colorMatrices = $colorMatrix && Object.keys($colorMatrix).map(name => $colorMatrix[name]).filter(Boolean);\n\n\t\t\tconst effects = {\n\t\t\t\tgamma: $gamma || undefined,\n\t\t\t\tvignette: $vignette || undefined,\n\t\t\t\tnoise: $noise || undefined,\n\t\t\t\tconvolutionMatrix: $convolutionMatrix || undefined,\n\t\t\t\tcolorMatrix: colorMatrices && colorMatrices.length && getColorMatrixFromColorMatrices(colorMatrices)\n\t\t\t};\n\n\t\t\tset(effects);\n\t\t}\n\t);\n\n\t//\n\t// current environment variables\n\t//\n\tlet windowWidth;\n\n\tlet windowHeight;\n\tconst shouldPreventSwipe = canPreventNavSwipe();\n\tconst env = writable({});\n\tcomponent_subscribe($$self, env, value => $$invalidate(333, $env = value));\n\tconst initialPixelRatio = getDevicePixelRatio();\n\n\tconst pixelRatio = readable(initialPixelRatio, set => {\n\t\tconst handleResolutionChange = () => set(getDevicePixelRatio());\n\t\tconst resolutionObserver = matchMedia(`(resolution: ${initialPixelRatio}dppx)`);\n\t\tresolutionObserver.addListener(handleResolutionChange);\n\t\treturn () => resolutionObserver.removeListener(handleResolutionChange);\n\t});\n\n\tcomponent_subscribe($$self, pixelRatio, value => $$invalidate(56, $pixelRatio = value));\n\n\tconst history = historyCreate(\n\t\t() => {\n\t\t\t// $imageState is always a clone of the current state\n\t\t\treturn $imageState;\n\t\t},\n\t\tstate => {\n\t\t\t// set new state from history, $imageState will store a clone of the received state\n\t\t\tset_store_value(imageState, $imageState = state, $imageState);\n\n\t\t\t// trigger recenter of image selection rect\n\t\t\ttabRect.set($tabRect);\n\t\t}\n\t);\n\n\t$$subscribe_history();\n\n\tconst setInitialHistoryState = () => {\n\t\t// set history state\n\t\tconst baseRect = { x: 0, y: 0, ...$imageSize };\n\n\t\tconst baseCropRect = rectApply(rectContainRect(baseRect, $imageState.cropAspectRatio), Math.round);\n\n\t\t// note:\n\t\t//\n\t\t// currently undo doesn't step back to base state,\n\t\t// that's why the hook willSetHistoryInitialState below as introduced\n\t\t// will be fixed in version next major release of the editor\n\t\t//\n\t\tconst baseEditorState = willSetHistoryInitialState(\n\t\t\t{\n\t\t\t\t// the base state is the image state but the `rotation` and `crop` are reset\n\t\t\t\t...$imageState, //\n\t\t\t\t// should be read from imageInitialProps?\n\t\t\t\trotation: 0,\n\t\t\t\tcrop: baseCropRect\n\t\t\t},\n\t\t\t// add other reset values here?\n\t\t\t//\n\t\t\t// see note above\n\t\t\t$imageState\n\t\t); //\n\n\t\t// this will be the base state\n\t\tconst editorInitialHistoryState = [baseEditorState];\n\n\t\t// only add additional entry if base state and current state are different\n\t\tif (JSON.stringify(baseEditorState) !== JSON.stringify($imageState)) {\n\t\t\teditorInitialHistoryState.push({ ...$imageState });\n\t\t}\n\n\t\t// loading done, set this as base state\n\t\thistory.set(editorInitialHistoryState);\n\t};\n\n\tconst imageLoadStateUnsub = imageLoadState.subscribe(state => {\n\t\t// no state yet\n\t\tif (!state) return;\n\n\t\t// not ready yet\n\t\tif (!state.complete) return;\n\n\t\t// set initial state after image load has completed\n\t\tsetInitialHistoryState();\n\t});\n\n\tconst revert = () => willRevert().then(shouldReset => shouldReset && history.revert());\n\n\t//\n\t// Visual processing of the image\n\t//\n\tconst imageProcessingPreparing = writable(false);\n\n\tcomponent_subscribe($$self, imageProcessingPreparing, value => $$invalidate(334, $imageProcessingPreparing = value));\n\n\tconst handleExport = () => {\n\t\t// this will trigger status overlay fade in\n\t\tset_store_value(imageProcessingPreparing, $imageProcessingPreparing = true, $imageProcessingPreparing);\n\n\t\twillProcessImage().then(shouldProcess => {\n\t\t\t// nope, restore hide processing overlay and back to editing\n\t\t\tif (!shouldProcess) {\n\t\t\t\tset_store_value(imageProcessingPreparing, $imageProcessingPreparing = false, $imageProcessingPreparing);\n\t\t\t\treturn;\n\t\t\t}\n\n\t\t\t// wait for status to be done fading in, then requests image writing\n\t\t\tlet unsub;\n\n\t\t\tunsub = statusOpacity.subscribe(value => {\n\t\t\t\tif (value !== 1) return;\n\n\t\t\t\t// stop listening for\n\t\t\t\tunsub && unsub();\n\n\t\t\t\t// request write image\n\t\t\t\tdispatch('processImage');\n\t\t\t});\n\t\t});\n\t};\n\n\tconst imageProcessStateUnsub = imageProcessState.subscribe(state => {\n\t\tif (!state) {\n\t\t\tset_store_value(imageProcessingPreparing, $imageProcessingPreparing = false, $imageProcessingPreparing);\n\t\t\treturn;\n\t\t}\n\n\t\tset_store_value(imageProcessingPreparing, $imageProcessingPreparing = true, $imageProcessingPreparing);\n\t\tconst { complete, abort } = state;\n\t\tif (complete || abort) set_store_value(imageProcessingPreparing, $imageProcessingPreparing = false, $imageProcessingPreparing);\n\t});\n\n\tconst activeImages = storeList();\n\tcomponent_subscribe($$self, activeImages, value => $$invalidate(54, $activeImages = value));\n\n\tconst imageTransformsInterpolated = derived([activeImages], ([$activeImages], set) => {\n\t\tif (!$activeImages.length) return set();\n\t\tconst { origin, translation, rotation, scale } = $activeImages[0];\n\t\tset({ origin, translation, rotation, scale });\n\t});\n\n\tconst utilTools = writable();\n\tcomponent_subscribe($$self, utilTools, value => $$invalidate(348, $utilTools = value));\n\n\t// bind from pan/zoom control\n\tlet zoomControls = [];\n\n\t// bind from pan/zoom control\n\tlet zoomMultiTouching;\n\n\tconst imageSelectionMultiTouching = writable();\n\tconst imagePreviewUpscale = writable();\n\n\tconst imageSelectionZoomCurrent = derived(\n\t\t[\n\t\t\timageSelectionZoom,\n\t\t\timagePreviewUpscale,\n\t\t\tstageScalar,\n\t\t\timageSelectionStageFitScalar\n\t\t],\n\t\t([\n\t\t\t\t$imageSelectionZoom,\n\t\t\t\t$imagePreviewUpscale,\n\t\t\t\t$stageScalar,\n\t\t\t\t$imageSelectionStageFitScalar\n\t\t\t]) => {\n\t\t\treturn $imageSelectionZoom\n\t\t\t? $imageSelectionZoom\n\t\t\t: $imagePreviewUpscale || $stageScalar < 1\n\t\t\t\t? $imageSelectionStageFitScalar\n\t\t\t\t: 1;\n\t\t}\n\t);\n\n\t//\n\t// Configure the available views\n\t//\n\tconst utilStores = {\n\t\t// model stores\n\t\t...stores,\n\t\t// image\n\t\timageFile,\n\t\timageSize,\n\t\t// video / animated gif\n\t\tmediaDuration,\n\t\tmediaTrim,\n\t\timageBackgroundColor,\n\t\timageBackgroundImage: imageBackgroundImageSrc,\n\t\timageCropAspectRatio,\n\t\timageCropMinSize,\n\t\timageCropMaxSize,\n\t\timageCropLimitToImage,\n\t\timageCropRect,\n\t\timageCropRectOrigin,\n\t\timageCropRectSnapshot,\n\t\timageCropRectAspectRatio,\n\t\timageCropRange,\n\t\timageRotation,\n\t\timageRotationRange,\n\t\timageFlipX,\n\t\timageFlipY,\n\t\timageOutputSize,\n\t\t// effects\n\t\timageColorMatrix,\n\t\timageConvolutionMatrix,\n\t\timageGamma,\n\t\timageVignette,\n\t\timageNoise,\n\t\t// markup\n\t\timageDecoration,\n\t\timageAnnotation,\n\t\timageRedaction,\n\t\timageFrame,\n\t\t// image preview for utils that need access to pixel data\n\t\timagePreview,\n\t\t// image preview source so utils can update preview\n\t\timagePreviewSource,\n\t\t// top left position of image preview\n\t\timageTransforms,\n\t\t// allows utils to control how the preview is presented (for example more opacity for mask)\n\t\timagePreviewModifiers,\n\t\t// history state and update\n\t\thistory,\n\t\t// static env info\n\t\tanimation: shouldAnimate,\n\t\tpixelRatio,\n\t\telasticityMultiplier,\n\t\tscrollElasticity,\n\t\trangeInputElasticity,\n\t\tredrawTrigger,\n\t\t// dynamic env info\n\t\tpointerAccuracy,\n\t\tpointerHoverable,\n\t\tenv,\n\t\trootRect,\n\t\tstageRect,\n\t\tstageRectBase,\n\t\tstageRecenter,\n\t\tstageScalar,\n\t\tstagePadding,\n\t\tstagePadded,\n\t\tpresentationScalar,\n\t\timagePreviewUpscale,\n\t\tutilRect,\n\t\tutilRectPadded,\n\t\tallowPan,\n\t\tallowZoom,\n\t\tallowZoomControls,\n\t\tenableZoomInput: enableZoomInputStore,\n\t\tenablePanInput: enablePanInputStore,\n\t\tenablePanInputStatus,\n\t\timageSelectionMultiTouching,\n\t\trootBackgroundColor,\n\t\trootForegroundColor,\n\t\trootLineColor,\n\t\trootColorSecondary,\n\t\timageOutlineOpacity,\n\t\t// add tools to interface\n\t\tutilTools,\n\t\t// interaction\n\t\timageSelectionPan,\n\t\timageSelectionZoom,\n\t\timageSelectionZoomCurrent,\n\t\timageSelectionStageFitScalar,\n\t\timageSelectionStoredState,\n\t\t// toggle audio\n\t\tmuteAudioStore,\n\t\t// (write) add guides to ui (for example is used by markup util to add lines for shape manipulator)\n\t\timageOverlayMarkup,\n\t\t// (write) interface images to render\n\t\tinterfaceImages,\n\t\t// (write) set to true to disable animations\n\t\tisInteracting,\n\t\t// (write) set to true when transforming image (move, translate, scale, rotate)\n\t\tisTransformingImage,\n\t\t// (read) goes from 0 to 1 while interacting\n\t\tisInteractingFraction,\n\t\t// (write) the current intended crop rect\n\t\timageCropRectIntent,\n\t\t// (read) the current presented crop rect\n\t\timageCropRectPresentation,\n\t\t// (write) the current limited size of the image selection rect\n\t\timageSelectionRect,\n\t\t// (write) the inteded rectangle by the user\n\t\timageSelectionRectIntent,\n\t\t// (read) the current presentation of the image selection rect, includes elasticity etc.\n\t\timageSelectionRectPresentation,\n\t\t// (read) a snapshot of the image selection rectangle, use to store the rectangle before modification so alterations to the rectangle can be applied to the snapshot\n\t\timageSelectionRectSnapshot,\n\t\t// scalar of image in view\n\t\timageScalar,\n\t\t// current image interpolated state\n\t\timageTransformsInterpolated,\n\t\t// effects applied to the image\n\t\timageEffects\n\t};\n\n\t// don't expose image store\n\tdelete utilStores.image;\n\n\tconst utilsUniqueId = `util-${getUniqueId()}`;\n\tlet previousUtilsAvailable = [];\n\n\tconst getAvailableUtils = (utils, pluginComponents, pluginOptions, props) => {\n\t\tconst utilsAvailable = pluginComponents.filter(([id]) => utils.includes(id)).filter(([id, { isSupported }]) => isSupported({ ...props, ...pluginOptions[id] })).map(([id, util]) => [id, util.Component]);\n\n\t\tconst isEqualToPreviousUtils = arrayEqual(utilsAvailable, previousUtilsAvailable, (a, b) => {\n\t\t\treturn a[0] === b[0] && a[1] === b[1];\n\t\t});\n\n\t\tif (isEqualToPreviousUtils) return previousUtilsAvailable;\n\t\tpreviousUtilsAvailable = utilsAvailable;\n\t\treturn utilsAvailable;\n\t};\n\n\tconst getAvailableUtilById = utilId => utilsAvailable.find(([id]) => utilId === id);\n\tconst getFirstAvailableUtil = () => utilsAvailable[0][0];\n\tlet utilsVisible = [];\n\n\t// env\n\tlet iOS = isIOS();\n\n\tconst getOrientation = (rect, layoutPreference) => {\n\t\tif (!$rootRect) return 'landscape';\n\t\tif (layoutPreference === 'auto') return rect.width > rect.height ? 'landscape' : 'portrait';\n\t\tif (layoutPreference === 'horizontal') return rect.width < 500 ? 'portrait' : 'landscape';\n\t\tif (layoutPreference === 'vertical') return rect.height < 400 ? 'landscape' : 'portrait';\n\t};\n\n\tconst getColorPropertyValue = name => {\n\t\tconst colorString = rootElementComputedStyle.getPropertyValue(name);\n\t\treturn colorStringToColorArray(colorString);\n\t};\n\n\tconst syncValue = (name, store, parseValue) => {\n\t\tlet value = rootElementComputedStyle.getPropertyValue(name);\n\n\t\tvalue = parseValue\n\t\t? parseValue(value)\n\t\t: (/^[0-9]+$/).test(value) ? parseFloat(value) : undefined;\n\n\t\tstore.set(value, { hard: !$isAnimated });\n\t};\n\n\tconst syncColor = (property, store, enableAlpha = false) => {\n\t\tconst colorArray = getColorPropertyValue(property);\n\n\t\t// hide transparent color\n\t\tif (!colorArray || colorArray[3] === 0) return;\n\n\t\t// limit to opaque colors\n\t\tif (!enableAlpha) colorArray.length = 3;\n\n\t\t// update store\n\t\tstore.set(colorArray, { hard: !$isAnimated });\n\t};\n\n\tconst gridSize = writable();\n\tcomponent_subscribe($$self, gridSize, value => $$invalidate(83, $gridSize = value));\n\tconst gridColorEven = writable();\n\tcomponent_subscribe($$self, gridColorEven, value => $$invalidate(84, $gridColorEven = value));\n\tconst gridColorOdd = writable();\n\tcomponent_subscribe($$self, gridColorOdd, value => $$invalidate(85, $gridColorOdd = value));\n\tconst gridOpacity = spring(0, { damping: 0.9 });\n\tcomponent_subscribe($$self, gridOpacity, value => $$invalidate(86, $gridOpacity = value));\n\n\tconst syncCSSProps = () => {\n\t\tsyncColor('color', rootForegroundColor);\n\n\t\tenableCanvasAlpha\n\t\t? syncColor('--color-background', rootBackgroundColor)\n\t\t: syncColor('background-color', rootBackgroundColor);\n\n\t\tsyncColor('outline-color', rootLineColor);\n\t\tsyncColor('--color-secondary', rootColorSecondary);\n\t\tsyncColor('--grid-color-even', gridColorEven, true);\n\t\tsyncColor('--grid-color-odd', gridColorOdd, true);\n\t\tsyncValue('--grid-size', gridSize);\n\t\tsyncValue('--editor-inset-top', rootInsetTop, v => parseInt(v, 10));\n\t};\n\n\tconst handleTransitionEnd = ({ target, propertyName }) => {\n\t\tif (target !== root || !(/background|outline/).test(propertyName)) return;\n\t\tif (rootElementComputedStyle) syncCSSProps();\n\t};\n\n\tconst imageProps = derived([imageTransforms, imageEffects, imageBackgroundColor, imageBackgroundImageData], ([$imageTransforms, $imageEffects, backgroundColor, backgroundImageData]) => {\n\t\treturn $imageTransforms && {\n\t\t\t...$imageTransforms,\n\t\t\t...$imageEffects,\n\t\t\tbackgroundColor,\n\t\t\tbackgroundImage: backgroundImageData\n\t\t};\n\t});\n\n\tcomponent_subscribe($$self, imageProps, value => $$invalidate(343, $imageProps = value));\n\n\tconst addImagePreview = () => {\n\t\t// if is first image scale up slightly on entrance\n\t\tconst imageIntro = activeImages.length ? undefined : { resize: 1.05 };\n\n\t\t// create the new image\n\t\tconst image = createImage($imagePreview, $imageSize, imageIntro);\n\n\t\t// new image on top\n\t\tactiveImages.unshift(image);\n\n\t\t// update images in activeImages array\n\t\tupdateImagePreviews($imageProps);\n\t};\n\n\tconst updateImagePreviews = currentImageProps => {\n\t\tactiveImages.forEach((image, index) => {\n\t\t\tconst opacity = index === 0 ? 1 : 0;\n\t\t\tconst resize = 1;\n\t\t\timage.set({ ...currentImageProps, opacity, resize }, $shouldAnimate);\n\t\t});\n\t};\n\n\t// if image preview changes, push it on the stack\n\tlet lastImagePreview;\n\n\tconst statusOpacity = tweened(undefined, { duration: 500 });\n\tcomponent_subscribe($$self, statusOpacity, value => $$invalidate(53, $statusOpacity = value));\n\tlet loadTimer;\n\n\t// this adds a little delay to the status fade out after an image was processed\n\t// needed because when the modal fades out this would otherwise create a weird flash (modal fade out, but status fade out as well showing interface)\n\tconst wasProcessingImage = writable(false);\n\n\tcomponent_subscribe($$self, wasProcessingImage, value => $$invalidate(338, $wasProcessingImage = value));\n\tlet statusState;\n\n\tconst asideOffset = spring(undefined, {\n\t\tstiffness: 0.1,\n\t\tdamping: 0.7,\n\t\tprecision: 0.25\n\t});\n\n\tcomponent_subscribe($$self, asideOffset, value => $$invalidate(78, $asideOffset = value));\n\tconst asideOpacity = spring(0, { stiffness: 0.1, precision: 0.05 });\n\tcomponent_subscribe($$self, asideOpacity, value => $$invalidate(79, $asideOpacity = value));\n\n\tconst asideWidth = spring(0, {\n\t\tstiffness: 0.02,\n\t\tdamping: 0.5,\n\t\tprecision: 0.25\n\t});\n\n\tcomponent_subscribe($$self, asideWidth, value => $$invalidate(336, $asideWidth = value));\n\n\tconst statusWidth = spring(undefined, {\n\t\tstiffness: 0.02,\n\t\tdamping: 0.5,\n\t\tprecision: 0.25\n\t});\n\n\tcomponent_subscribe($$self, statusWidth, value => $$invalidate(337, $statusWidth = value));\n\n\tconst statusOffset = spring(undefined, {\n\t\tstiffness: 0.02,\n\t\tdamping: 0.5,\n\t\tprecision: 0.25\n\t});\n\n\tcomponent_subscribe($$self, statusOffset, value => $$invalidate(335, $statusOffset = value));\n\tlet asideWidthUpdateTimer;\n\n\tconst offsetAside = e => {\n\t\t// if error occured, or not animating, snap in possition\n\t\tconst hard = !!(statusState && statusState.closeButton) || !$isAnimated;\n\n\t\t// where to render the progress indicator or close button\n\t\tstatusWidth.set(e.detail.width, { hard });\n\n\t\t// offsets text so it's better centered to the viewport\n\t\tstatusOffset.set(Math.round(-e.detail.width * 0.5), { hard });\n\t};\n\n\tconst handleCloseImageLoadError = () => {\n\t\tdispatch('abortLoadImage');\n\t};\n\n\tconst handleCloseImageProcessError = () => {\n\t\tdispatch('abortProcessImage');\n\t\tset_store_value(imageProcessingPreparing, $imageProcessingPreparing = false, $imageProcessingPreparing);\n\t};\n\n\t// helper to block iOS and Firefox Android events so don't toggle nav\n\tconst preventDefault = e => e.preventDefault();\n\n\t// prevents swipe to navigate back on iOS >= 13.4+\n\tconst handleTouchStart = shouldPreventSwipe\n\t? e => {\n\t\t\t// get touch or event itself (fixes issue with chrome dev tools)\n\t\t\tconst event = e.touches ? e.touches[0] : e;\n\n\t\t\t// if is not an attempt to swipe back or forward\n\t\t\tif (event.pageX > 20 && event.pageX < window.innerWidth - 20) return;\n\n\t\t\t// stop the navigation attempt\n\t\t\tpreventDefault(e);\n\t\t}\n\t: noop$1;\n\n\t// context for children to know if a key is down\n\tconst pressedKeysStore = writable([]);\n\n\tcomponent_subscribe($$self, pressedKeysStore, value => $$invalidate(415, $pressedKeysStore = value));\n\tsetContext('keysPressed', pressedKeysStore);\n\n\tconst handleKeydown = e => {\n\t\tconst { keyCode, metaKey, ctrlKey, shiftKey } = e;\n\n\t\t// prevent tabbing through fields if editor is disabled\n\t\tif (keyCode === 9 && disabled) {\n\t\t\te.preventDefault();\n\t\t\treturn;\n\t\t}\n\n\t\t// prevent spacebar from scrolling page\n\t\tif (e.target && keyCode === 32 && root.contains(e.target) && !isTextField(e.target)) {\n\t\t\te.preventDefault();\n\t\t}\n\n\t\t// undo/redo\n\t\tif (keyCode === 90 && (metaKey || ctrlKey)) {\n\t\t\tif (shiftKey && metaKey) {\n\t\t\t\t// redo on MacOS\n\t\t\t\thistory.redo();\n\t\t\t} else {\n\t\t\t\t// undo\n\t\t\t\thistory.undo();\n\t\t\t}\n\n\t\t\treturn;\n\t\t} else if (keyCode === 89 && ctrlKey) {\n\t\t\t// redo on Windows\n\t\t\thistory.redo();\n\n\t\t\treturn;\n\t\t}\n\n\t\t// ignore IME popup keycode, fixes keycode 229 sticking around, as it's not triggered in keyup \"If an Input Method Editor is processing key input and the event is keydown, return 229.\"\n\t\t// https://lists.w3.org/Archives/Public/www-dom/2010JulSep/att-0182/keyCode-spec.html\n\t\tif (keyCode === 229) return;\n\n\t\tif (metaKey || ctrlKey) return;\n\n\t\t// add to set\n\t\tconst keySet = new Set([...$pressedKeysStore, keyCode]);\n\n\t\tpressedKeysStore.set(Array.from(keySet));\n\t};\n\n\tconst handleKeyup = ({ key, keyCode }) => {\n\t\t// this prevents holding the command key while panning image from resutling in sticky keys\n\t\tif (key === 'Meta') return pressedKeysStore.set([]);\n\n\t\tpressedKeysStore.set($pressedKeysStore.filter(pressedKey => pressedKey !== keyCode));\n\t};\n\n\t// so no keys get stuck when user cmd-tabs out of the window, or when dev-tools open by key-press\n\tconst handleWindowBlur = () => {\n\t\tpressedKeysStore.set([]);\n\t};\n\n\t// block context menu on everything but text input fields\n\tconst handleContextMenu = e => {\n\t\tif (isTextField(e.target)) return;\n\t\te.preventDefault();\n\t};\n\n\t// handle files being dropped on the editor\n\tconst handleUserFile = file => {\n\t\t// no file received, isn't an image file, is not a URL\n\t\tif (// no file received\n\t\t!file || // if it's a file object it should be a bitmap\n\t\tisBinary(file) && !isBitmap(file) || // if it's not a file object it should be a URL\n\t\t!isBinary(file) && !(/^http/).test(file)) return;\n\n\t\t// request load image\n\t\tdispatch('loadImage', file);\n\t};\n\n\tconst handleDropFiles = e => {\n\t\t// not allowed to drop\n\t\tif (!enableDropImage) return;\n\n\t\thandleUserFile(e.detail.resources[0]);\n\t};\n\n\tconst handleSelectFile = file => {\n\t\tif (!file) return;\n\t\thandleUserFile(file);\n\t};\n\n\tconst browseFileSystem = () => {\n\t\tif (!enableBrowseImage) return;\n\t\tbrowse().then(handleSelectFile);\n\t};\n\n\tconst handlePaste = e => {\n\t\t// not allowed to paste\n\t\tif (!enablePasteImage) return;\n\n\t\t// calculate percentage of editor that is in view\n\t\tconst xPercentage = clamp((window.innerWidth - Math.abs($rootRect.x)) / $rootRect.width, 0, 1);\n\n\t\tconst yPercentage = clamp((window.innerHeight - Math.abs($rootRect.y)) / $rootRect.height, 0, 1);\n\n\t\t// editor needs to be in view\n\t\tif (xPercentage < 0.75 && yPercentage < 0.75) return;\n\n\t\t// request load image\n\t\thandleUserFile((e.clipboardData || window.clipboardData).files[0]);\n\t};\n\n\t//\n\t// canvas drawing\n\t//\n\tlet scrambledPreviewImage = undefined;\n\n\tconst updateScrambledPreview = (imagePreviewData, imageScrambler, imageRedactionScalar, imageBackgroundColor) => {\n\t\tif (!imageScrambler) return;\n\n\t\t// remove transparency\n\t\tconst scrambleOptions = { dataSizeScalar: imageRedactionScalar };\n\n\t\tif (imageBackgroundColor && imageBackgroundColor[3] > 0) {\n\t\t\tscrambleOptions.backgroundColor = [...imageBackgroundColor];\n\t\t}\n\n\t\timageScrambler(imagePreviewData, scrambleOptions).then(scrambledCanvas => {\n\t\t\t// we've created a new scrambled preview so force release memory of old one\n\t\t\tif (scrambledPreviewImage) releaseCanvas(scrambledPreviewImage);\n\n\t\t\t// update scrambled preview with new image\n\t\t\t$$invalidate(260, scrambledPreviewImage = scrambledCanvas);\n\t\t});\n\t};\n\n\tlet blendShapes = [];\n\n\t// setup root portal for detail panel dropdown\n\tlet rootPortal;\n\n\tconst rootPortalStore = writable();\n\tsetContext('rootPortal', rootPortalStore);\n\n\t// setup root rect store for global access\n\tsetContext('rootRect', rootRect);\n\n\tconst getStageState = () => ({\n\t\t// add foreground color\n\t\tforegroundColor: [...$rootForegroundColor],\n\t\t// add line color\n\t\tlineColor: [...$rootLineColor],\n\t\t// add information on which util is active\n\t\tutilVisibility: { ...utilsVisibleFraction },\n\t\t// used to fade in elements when interacting\n\t\tisInteracting: $isInteracting,\n\t\tisInteractingFraction: $isInteractingFraction,\n\t\t// add the root rectangle so will render can use width/height of root element\n\t\trootRect: rectClone$1($rootRect),\n\t\t// add the stage rectangle so will render knows where stage starts and ends\n\t\tstageRect: rectClone$1($stageRect),\n\t\t// allows overriding dirty state\n\t\tannotationShapesDirty: imageAnnotationShapesDirty,\n\t\tdecorationShapesDirty: imageDecorationShapesDirty,\n\t\tframeShapesDirty: imageFrameShapesDirty,\n\t\tblendShapesDirty: imageBlendShapesDirty\n\t});\n\n\t// test if some shapes have left/top/bottom/right offsets, if so, convert to crop space\n\t// updates original shape (which at this point is a flattened shape (clone))\n\tconst positionDecorationShape = (shape, selectionRect, scale) => {\n\t\t// need to calculate intermediate sizes so relative shapes are animated when the interface updates\n\t\t// this calculation should result in a \"springed\" $imageCropRect\n\t\treturn shapeComputeDisplay(shape, sizeCreate(selectionRect.width / scale, selectionRect.height / scale));\n\t};\n\n\t// decoration is drawn relative to view space, so we need to translate relative to crop presentation rect\n\tconst transformDecorationShape = (shape, selectionRect, scale) => {\n\t\tshape._translate = vectorCreateFromAny(selectionRect);\n\t\tshape._scale = scale;\n\t\treturn shape;\n\t};\n\n\tconst flattenShapes = shapes => {\n\t\tconst flattenedShapes = [];\n\t\tshapes.forEach(shape => flattenedShapes.push(flattenShape(shape)));\n\t\treturn flattenedShapes.filter(Boolean);\n\t};\n\n\tconst flattenShape = shape => {\n\t\t// at this point shape is a copy of the original shape\n\t\tif (shapeIsLine(shape)) {\n\t\t\tshape.points = [vectorCreate(shape.x1, shape.y1), vectorCreate(shape.x2, shape.y2)];\n\t\t\treturn shape;\n\t\t}\n\n\t\t// is empty text\n\t\tif (shapeIsTextEmpty(shape) && (!shape.backgroundColor || shape.backgroundColor[3] === 0)) {\n\t\t\t// make sure shape is still visible\n\t\t\tif (shapeIsTextBlock(shape)) {\n\t\t\t\tshape.width = 5;\n\t\t\t\tshape.height = shape.lineHeight;\n\t\t\t}\n\n\t\t\t// set to empty text style\n\t\t\tshape.strokeWidth = 1;\n\n\t\t\tshape.strokeColor = [1, 1, 1, 0.5];\n\t\t\tshape.backgroundColor = [0, 0, 0, 0.1];\n\t\t\treturn shape;\n\t\t}\n\n\t\treturn shape;\n\t};\n\n\t// these hold computes shapes, so we don't have to compute on each frame if no changes\n\tlet canvasComputedAnnotationBaseShapes = [];\n\n\tlet canvasComputedAnnotationShapes = [];\n\tlet canvasComputedBlendShapes = [];\n\tlet canvasComputedDecorationShapes = [];\n\tlet canvasComputedFrameShapes = [];\n\tlet canvasComputedScale;\n\tlet canvasComputedSelectionRect = {};\n\n\tconst createCanvasState = (canvasState, blendShapesToDraw, annotationShapesToDraw, decorationShapesToDraw, interfaceShapesToDraw, frameShapesToDraw) => {\n\t\tconst { annotationShapesDirty, decorationShapesDirty, frameShapesDirty, blendShapesDirty, selectionRect, scale } = canvasState;\n\n\t\t// determine if canvas is dirty, if so, we need to recalculate shapes that rely on canvas\n\t\tconst canvasScaleChanged = canvasComputedScale !== scale;\n\n\t\tconst canvasDirty = canvasScaleChanged || !rectEqual(canvasComputedSelectionRect, selectionRect);\n\n\t\t// remember dirty state so we can compare next draw\n\t\tif (canvasDirty) {\n\t\t\tcanvasComputedScale = scale;\n\t\t\tcanvasComputedSelectionRect = selectionRect;\n\t\t}\n\n\t\t// annotation shapes changed, or user changed annotation shapes in willRenderCanvas hook\n\t\tif (annotationShapesDirty || annotationShapesToDraw !== $imageAnnotation) {\n\t\t\tcanvasComputedAnnotationBaseShapes = annotationShapesToDraw.filter(shapeIsVisible).map(shapeDeepCopy).sort((a, b) => {\n\t\t\t\tif (a.alwaysOnTop) return 1;\n\t\t\t\tif (b.alwaysOnTop) return -1;\n\t\t\t\treturn 0;\n\t\t\t}).map(shape => shapeComputeDisplay(shape, $imageSize));\n\t\t}\n\n\t\tif (canvasScaleChanged || imageAnnotationRequiresPreprocessing || annotationShapesDirty || annotationShapesToDraw !== $imageAnnotation) {\n\t\t\tcanvasComputedAnnotationShapes = flattenShapes(canvasComputedAnnotationBaseShapes.map(shape => preprocessShape(shape, {\n\t\t\t\tflipX: $imageFlipX,\n\t\t\t\tflipY: $imageFlipY,\n\t\t\t\trotation: $imageRotation,\n\t\t\t\tscale,\n\t\t\t\tcontext: rectCreateFromSize($imageSize)\n\t\t\t})).flat());\n\t\t}\n\n\t\t// blend shapes changed\n\t\tif (blendShapesDirty) {\n\t\t\tcanvasComputedBlendShapes = blendShapesToDraw.filter(shapeIsVisible).map(shape => shapeComputeDisplay(shape, $imageSize));\n\t\t}\n\n\t\t// decoration shapes changed, or user changed decoration shapes in willRenderCanvs hook, or canvas updated and decorations need to be recomputed\n\t\tif (decorationShapesDirty || decorationShapesToDraw !== $imageDecoration || canvasDirty) {\n\t\t\tcanvasComputedDecorationShapes = flattenShapes(decorationShapesToDraw.filter(shapeIsVisible).map(shapeDeepCopy).sort((a, b) => {\n\t\t\t\tif (a.alwaysOnTop) return 1;\n\t\t\t\tif (b.alwaysOnTop) return -1;\n\t\t\t\treturn 0;\n\t\t\t}).map(shape => positionDecorationShape(shape, selectionRect, scale)).map(shape => preprocessShape(shape, { context: selectionRect })).flat().map(shape => transformDecorationShape(shape, selectionRect, scale)));\n\t\t}\n\n\t\t// only recompute frame shapes if frame changed or selection rect changed\n\t\tif (frameShapesDirty || frameShapesToDraw !== $imageFrame || canvasDirty) {\n\t\t\tcanvasComputedFrameShapes = frameShapesToDraw\n\t\t\t? flattenShapes([frameShapesToDraw].map(shapeDeepCopy).map(shape => positionDecorationShape(shape, selectionRect, scale)).map(preprocessShape).flat().map(shape => transformDecorationShape(shape, selectionRect, scale)))\n\t\t\t: [];\n\t\t}\n\n\t\tlet canvasComputedInterfaceShapes = flattenShapes(interfaceShapesToDraw.filter(shapeIsVisible));\n\n\t\treturn {\n\t\t\t// only redraw if annotations are dirty\n\t\t\tblendShapesDirty,\n\t\t\tblendShapes: canvasComputedBlendShapes,\n\t\t\t// only redraw if annotations are dirty\n\t\t\tannotationShapesDirty,\n\t\t\tannotationShapes: canvasComputedAnnotationShapes,\n\t\t\t// prepare decoration shapes (percentages to absolute values)\n\t\t\tdecorationShapesDirty,\n\t\t\tdecorationShapes: canvasComputedDecorationShapes,\n\t\t\t// prepare frame shapes (percentages to absolute values)\n\t\t\tframeShapesDirty,\n\t\t\tframeShapes: canvasComputedFrameShapes,\n\t\t\t// prepare interface shapes (percentages to absolute values)\n\t\t\tinterfaceShapes: canvasComputedInterfaceShapes\n\t\t};\n\t};\n\n\t//\n\t// for optimizing canvas calls\n\t//\n\t// mark image annotations as dirrty if the image annotations array is changed\n\tlet imageAnnotationShapesDirty = true;\n\n\tconst markAnnotationShapesAsDirty = () => $$invalidate(59, imageAnnotationShapesDirty = true);\n\tlet imageAnnotationRequiresPreprocessing = true;\n\tconst markAnnotationRequiresPreprocessing = () => $$invalidate(60, imageAnnotationRequiresPreprocessing = true);\n\n\t// mark image decorations as dirty if the image decorations array is changed\n\tlet imageDecorationShapesDirty = true;\n\n\tconst markDecorationShapesAsDirty = () => $$invalidate(61, imageDecorationShapesDirty = true);\n\n\t// mark image frames as dirrty if the image frames array is changed\n\tlet imageFrameShapesDirty = true;\n\n\tconst markFrameShapesAsDirty = () => $$invalidate(62, imageFrameShapesDirty = true);\n\n\t// mark blend shapes as dirty if the image blend shapes array is changed\n\tlet imageBlendShapesDirty = true;\n\n\tconst markBlendShapesAsDirty = () => $$invalidate(63, imageBlendShapesDirty = true);\n\n\t// clean up so memory is released correctly\n\tonDestroy(() => {\n\t\t// make sure video is paused\n\t\tsetPreviewVideoPlayState(false);\n\n\t\timageStateUnsub();\n\t\tstageRectUnsub();\n\t\tstageScalarUnsub();\n\t\timageIsStaticUnsub();\n\t\timageSelectionRectSnapshotUnsub();\n\t\timageSelectionRectUnsub();\n\t\timageCropRectUnsub();\n\t\timageLoadStateUnsub();\n\t\timageProcessStateUnsub();\n\t\tpointerAccuracy.destroy();\n\t\tpointerHoverable.destroy();\n\t\timageProxy.destroy();\n\t\tactiveImages.clear();\n\n\t\t// clear shape cache\n\t\tcanvasComputedAnnotationBaseShapes.length = 0;\n\n\t\tcanvasComputedAnnotationShapes.length = 0;\n\t\tcanvasComputedBlendShapes.length = 0;\n\t\tcanvasComputedDecorationShapes.length = 0;\n\t\tcanvasComputedFrameShapes.length = 0;\n\n\t\ttry {\n\t\t\t$$invalidate(214, imagePreviewCurrent = undefined);\n\t\t\t$$invalidate(257, lastImagePreview = undefined);\n\t\t} catch(err) {\n\t\t\t\n\t\t} // this sometimes throws a Svelte $$invalidate error, not sure why\n\t});\n\n\tconst handleMeasureUtil = e => {\n\t\t// no change\n\t\tif ($utilRect && rectEqual(e.detail, $utilRect)) return;\n\n\t\t// update rect\n\t\tset_store_value(utilRect, $utilRect = e.detail, $utilRect);\n\t};\n\n\tfunction onwindowresize() {\n\t\t$$invalidate(30, windowWidth = window_1$1.innerWidth);\n\t\t$$invalidate(31, windowHeight = window_1$1.innerHeight);\n\t}\n\n\tconst measure_handler = e => set_store_value(toolRect, $toolRect = e.detail, $toolRect);\n\tconst select_handler = ({ detail }) => $$invalidate(43, utilSelected = detail);\n\tconst func = (panel, util) => util.id === panel;\n\n\tfunction utilpanel_component_binding(value, panel) {\n\t\tif ($$self.$$.not_equal(pluginInterface[panel], value)) {\n\t\t\tpluginInterface[panel] = value;\n\t\t\t(($$invalidate(1, pluginInterface), $$invalidate(26, pluginOptions)), $$invalidate(252, pluginComponents));\n\t\t}\n\t}\n\n\tconst show_handler = panel => $$invalidate(58, utilsVisible = utilsVisible.concat(panel));\n\tconst hide_handler = panel => $$invalidate(58, utilsVisible = utilsVisible.filter(util => util !== panel));\n\tconst fade_handler = (panel, { detail }) => $$invalidate(37, utilsVisibleFraction[panel] = detail, utilsVisibleFraction);\n\tconst measure_handler_1 = e => set_store_value(tabRect, $tabRect = e.detail, $tabRect);\n\tconst func_1 = util => util.id === utilSelected;\n\n\tfunction utilpanel_component_binding_1(value) {\n\t\tif ($$self.$$.not_equal(pluginInterface[utilSelected], value)) {\n\t\t\tpluginInterface[utilSelected] = value;\n\t\t\t(($$invalidate(1, pluginInterface), $$invalidate(26, pluginOptions)), $$invalidate(252, pluginComponents));\n\t\t}\n\t}\n\n\tconst show_handler_1 = () => $$invalidate(58, utilsVisible = utilsVisible.concat(utilSelected));\n\tconst hide_handler_1 = () => $$invalidate(58, utilsVisible = utilsVisible.filter(util => util !== utilSelected));\n\tconst fade_handler_1 = ({ detail }) => $$invalidate(37, utilsVisibleFraction[utilSelected] = detail, utilsVisibleFraction);\n\n\tconst func_2 = canvasState => {\n\n\t\t// current draw state\n\t\tconst drawState = { ...canvasState, ...getStageState() };\n\n\t\t// allow devs to add custom overlay to `imageOverlay`\n\t\tconst { annotationShapes, decorationShapes, interfaceShapes, frameShapes } = willRenderCanvas(\n\t\t\t{\n\t\t\t\tannotationShapes: $imageAnnotation,\n\t\t\t\tdecorationShapes: $imageDecoration,\n\t\t\t\tinterfaceShapes: $imageOverlay,\n\t\t\t\tframeShapes: $imageFrame\n\t\t\t},\n\t\t\tdrawState\n\t\t);\n\n\t\t// need to map shapes\n\t\treturn createCanvasState(drawState, blendShapes, annotationShapes, decorationShapes, interfaceShapes, frameShapes);\n\t};\n\n\tconst func_3 = () => {\n\t\t// we've just drawn the shapes so mark as clean\n\t\t$$invalidate(59, imageAnnotationShapesDirty = false);\n\n\t\t$$invalidate(60, imageAnnotationRequiresPreprocessing = false);\n\t\t$$invalidate(61, imageDecorationShapesDirty = false);\n\t\t$$invalidate(62, imageFrameShapesDirty = false);\n\t\t$$invalidate(63, imageBlendShapesDirty = false);\n\t};\n\n\tfunction div_binding($$value) {\n\t\tbinding_callbacks[$$value ? 'unshift' : 'push'](() => {\n\t\t\trootPortal = $$value;\n\t\t\t$$invalidate(36, rootPortal);\n\t\t});\n\t}\n\n\tfunction canvaspanandzoom_zoomLevel_binding(value) {\n\t\tzoomLevel = value;\n\t\t($$invalidate(0, zoomLevel), $$invalidate(244, markupEditorZoomLevel));\n\t}\n\n\tfunction canvaspanandzoom_zoomControls_binding(value) {\n\t\tzoomControls = value;\n\t\t$$invalidate(32, zoomControls);\n\t}\n\n\tfunction canvaspanandzoom_zoomMultiTouching_binding(value) {\n\t\tzoomMultiTouching = value;\n\t\t$$invalidate(33, zoomMultiTouching);\n\t}\n\n\tfunction div_binding_1($$value) {\n\t\tbinding_callbacks[$$value ? 'unshift' : 'push'](() => {\n\t\t\troot = $$value;\n\t\t\t$$invalidate(2, root);\n\t\t});\n\t}\n\n\tconst measure_handler_2 = e => set_store_value(clientRect, $clientRect = e.detail, $clientRect);\n\n\t$$self.$$set = $$props => {\n\t\tif ('class' in $$props) $$invalidate(215, klass = $$props.class);\n\t\tif ('layout' in $$props) $$invalidate(216, layoutMode = $$props.layout);\n\t\tif ('stores' in $$props) $$invalidate(217, stores = $$props.stores);\n\t\tif ('locale' in $$props) $$invalidate(3, locale = $$props.locale);\n\t\tif ('id' in $$props) $$invalidate(4, id = $$props.id);\n\t\tif ('util' in $$props) $$invalidate(218, util = $$props.util);\n\t\tif ('utils' in $$props) $$invalidate(219, utils = $$props.utils);\n\t\tif ('animations' in $$props) $$invalidate(220, animations = $$props.animations);\n\t\tif ('disabled' in $$props) $$invalidate(221, disabled = $$props.disabled);\n\t\tif ('status' in $$props) $$invalidate(213, status = $$props.status);\n\t\tif ('previewUpscale' in $$props) $$invalidate(222, previewUpscale = $$props.previewUpscale);\n\t\tif ('previewPad' in $$props) $$invalidate(223, previewPad = $$props.previewPad);\n\t\tif ('previewMaskOpacity' in $$props) $$invalidate(5, previewMaskOpacity = $$props.previewMaskOpacity);\n\t\tif ('previewImageDataMaxSize' in $$props) $$invalidate(224, previewImageDataMaxSize = $$props.previewImageDataMaxSize);\n\t\tif ('previewImageTextPixelRatio' in $$props) $$invalidate(6, previewImageTextPixelRatio = $$props.previewImageTextPixelRatio);\n\t\tif ('markupMaskOpacity' in $$props) $$invalidate(7, markupMaskOpacity = $$props.markupMaskOpacity);\n\t\tif ('zoomMaskOpacity' in $$props) $$invalidate(225, zoomMaskOpacity = $$props.zoomMaskOpacity);\n\t\tif ('elasticityMultiplier' in $$props) $$invalidate(8, elasticityMultiplier = $$props.elasticityMultiplier);\n\t\tif ('willRevert' in $$props) $$invalidate(226, willRevert = $$props.willRevert);\n\t\tif ('willProcessImage' in $$props) $$invalidate(227, willProcessImage = $$props.willProcessImage);\n\t\tif ('willRenderCanvas' in $$props) $$invalidate(9, willRenderCanvas = $$props.willRenderCanvas);\n\t\tif ('willRenderToolbar' in $$props) $$invalidate(228, willRenderToolbar = $$props.willRenderToolbar);\n\t\tif ('willSetHistoryInitialState' in $$props) $$invalidate(229, willSetHistoryInitialState = $$props.willSetHistoryInitialState);\n\t\tif ('enableButtonExport' in $$props) $$invalidate(230, enableButtonExport = $$props.enableButtonExport);\n\t\tif ('enableButtonRevert' in $$props) $$invalidate(231, enableButtonRevert = $$props.enableButtonRevert);\n\t\tif ('enableNavigateHistory' in $$props) $$invalidate(232, enableNavigateHistory = $$props.enableNavigateHistory);\n\t\tif ('enableToolbar' in $$props) $$invalidate(10, enableToolbar = $$props.enableToolbar);\n\t\tif ('enableUtils' in $$props) $$invalidate(233, enableUtils = $$props.enableUtils);\n\t\tif ('enableButtonClose' in $$props) $$invalidate(234, enableButtonClose = $$props.enableButtonClose);\n\t\tif ('enableDropImage' in $$props) $$invalidate(235, enableDropImage = $$props.enableDropImage);\n\t\tif ('enablePasteImage' in $$props) $$invalidate(236, enablePasteImage = $$props.enablePasteImage);\n\t\tif ('enableBrowseImage' in $$props) $$invalidate(237, enableBrowseImage = $$props.enableBrowseImage);\n\t\tif ('enableTransparencyGrid' in $$props) $$invalidate(11, enableTransparencyGrid = $$props.enableTransparencyGrid);\n\t\tif ('layoutDirectionPreference' in $$props) $$invalidate(238, layoutDirectionPreference = $$props.layoutDirectionPreference);\n\t\tif ('layoutHorizontalUtilsPreference' in $$props) $$invalidate(239, layoutHorizontalUtilsPreference = $$props.layoutHorizontalUtilsPreference);\n\t\tif ('layoutVerticalUtilsPreference' in $$props) $$invalidate(240, layoutVerticalUtilsPreference = $$props.layoutVerticalUtilsPreference);\n\t\tif ('layoutVerticalToolbarPreference' in $$props) $$invalidate(241, layoutVerticalToolbarPreference = $$props.layoutVerticalToolbarPreference);\n\t\tif ('layoutVerticalControlGroupsPreference' in $$props) $$invalidate(242, layoutVerticalControlGroupsPreference = $$props.layoutVerticalControlGroupsPreference);\n\t\tif ('layoutVerticalControlTabsPreference' in $$props) $$invalidate(243, layoutVerticalControlTabsPreference = $$props.layoutVerticalControlTabsPreference);\n\t\tif ('markupEditorZoomLevel' in $$props) $$invalidate(244, markupEditorZoomLevel = $$props.markupEditorZoomLevel);\n\t\tif ('markupEditorZoomLevels' in $$props) $$invalidate(12, markupEditorZoomLevels = $$props.markupEditorZoomLevels);\n\t\tif ('markupEditorZoomAdjustStep' in $$props) $$invalidate(13, markupEditorZoomAdjustStep = $$props.markupEditorZoomAdjustStep);\n\t\tif ('markupEditorZoomAdjustFactor' in $$props) $$invalidate(14, markupEditorZoomAdjustFactor = $$props.markupEditorZoomAdjustFactor);\n\t\tif ('markupEditorZoomAdjustWheelFactor' in $$props) $$invalidate(15, markupEditorZoomAdjustWheelFactor = $$props.markupEditorZoomAdjustWheelFactor);\n\t\tif ('markupEditorInteractionMode' in $$props) $$invalidate(245, markupEditorInteractionMode = $$props.markupEditorInteractionMode);\n\t\tif ('muteAudio' in $$props) $$invalidate(246, muteAudio = $$props.muteAudio);\n\t\tif ('willSetMediaInitialTimeOffset' in $$props) $$invalidate(247, willSetMediaInitialTimeOffset = $$props.willSetMediaInitialTimeOffset);\n\t\tif ('enablePan' in $$props) $$invalidate(16, enablePan = $$props.enablePan);\n\t\tif ('enableZoom' in $$props) $$invalidate(17, enableZoom = $$props.enableZoom);\n\t\tif ('enableZoomControls' in $$props) $$invalidate(248, enableZoomControls = $$props.enableZoomControls);\n\t\tif ('enableZoomInput' in $$props) $$invalidate(18, enableZoomInput = $$props.enableZoomInput);\n\t\tif ('enablePanInput' in $$props) $$invalidate(249, enablePanInput = $$props.enablePanInput);\n\t\tif ('enableCanvasAlpha' in $$props) $$invalidate(19, enableCanvasAlpha = $$props.enableCanvasAlpha);\n\t\tif ('enablePanLimit' in $$props) $$invalidate(20, enablePanLimit = $$props.enablePanLimit);\n\t\tif ('panLimitGutterScalar' in $$props) $$invalidate(21, panLimitGutterScalar = $$props.panLimitGutterScalar);\n\t\tif ('zoomPresetOptions' in $$props) $$invalidate(22, zoomPresetOptions = $$props.zoomPresetOptions);\n\t\tif ('zoomAdjustStep' in $$props) $$invalidate(23, zoomAdjustStep = $$props.zoomAdjustStep);\n\t\tif ('zoomAdjustFactor' in $$props) $$invalidate(24, zoomAdjustFactor = $$props.zoomAdjustFactor);\n\t\tif ('zoomAdjustWheelFactor' in $$props) $$invalidate(25, zoomAdjustWheelFactor = $$props.zoomAdjustWheelFactor);\n\t\tif ('zoomLevel' in $$props) $$invalidate(0, zoomLevel = $$props.zoomLevel);\n\t\tif ('imagePreviewSrc' in $$props) $$invalidate(250, imagePreviewSrc = $$props.imagePreviewSrc);\n\t\tif ('imageOrienter' in $$props) $$invalidate(251, imageOrienter = $$props.imageOrienter);\n\t\tif ('pluginComponents' in $$props) $$invalidate(252, pluginComponents = $$props.pluginComponents);\n\t\tif ('pluginOptions' in $$props) $$invalidate(26, pluginOptions = $$props.pluginOptions);\n\t\tif ('root' in $$props) $$invalidate(2, root = $$props.root);\n\t\tif ('imageSourceToImageData' in $$props) $$invalidate(27, imageSourceToImageData = $$props.imageSourceToImageData);\n\t\tif ('imagePreviewCurrent' in $$props) $$invalidate(214, imagePreviewCurrent = $$props.imagePreviewCurrent);\n\t};\n\n\t$$self.$$.update = () => {\n\t\tif ($$self.$$.dirty[0] & /*zoomLevel*/ 1 | $$self.$$.dirty[7] & /*markupEditorZoomLevel*/ 134217728) {\n\t\t\t// @deprecated, remove in v9\n\t\t\t$$invalidate(0, zoomLevel = zoomLevel === null ? markupEditorZoomLevel : zoomLevel);\n\t\t}\n\n\t\tif ($$self.$$.dirty[7] & /*muteAudio*/ 536870912) {\n\t\t\tmuteAudioStore.set(muteAudio);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*elasticityMultiplier*/ 256) {\n\t\t\tset_store_value(elasticityMultiplierStore, $elasticityMultiplierStore = elasticityMultiplier, $elasticityMultiplierStore);\n\t\t}\n\n\t\tif ($$self.$$.dirty[6] & /*layoutMode*/ 1073741824) {\n\t\t\t// set to new object to force redraw\n\t\t\t$$invalidate(317, isOverlayModeEnabled = layoutMode === 'overlay');\n\t\t}\n\n\t\tif ($$self.$$.dirty[7] & /*enableUtils*/ 65536 | $$self.$$.dirty[10] & /*isOverlayModeEnabled*/ 128) {\n\t\t\t$$invalidate(44, showUtils = enableUtils && !isOverlayModeEnabled);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*pluginOptions, pluginInterface*/ 67108866) {\n\t\t\t// map plugin options to plugin interface\n\t\t\tif (pluginOptions) {\n\t\t\t\t// for every plugin in plugin options\n\t\t\t\tObject.entries(pluginOptions).forEach(([name, plugin]) => {\n\t\t\t\t\t// for every prop defined for this plugin\n\t\t\t\t\tObject.entries(plugin).forEach(([prop, value]) => {\n\t\t\t\t\t\t// set value to interface if available\n\t\t\t\t\t\tif (!pluginInterface[name]) return;\n\n\t\t\t\t\t\t// set prop value\n\t\t\t\t\t\t$$invalidate(1, pluginInterface[name][prop] = value, pluginInterface);\n\t\t\t\t\t});\n\t\t\t\t});\n\t\t\t}\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*pluginInterface*/ 2 | $$self.$$.dirty[8] & /*pluginComponents*/ 16) {\n\t\t\t{\n\t\t\t\tlet changed = false;\n\n\t\t\t\t// create plugin interfaces\n\t\t\t\tpluginComponents.forEach(([key]) => {\n\t\t\t\t\tif (pluginInterface[key]) return;\n\t\t\t\t\t$$invalidate(1, pluginInterface[key] = {}, pluginInterface);\n\t\t\t\t\tchanged = true;\n\t\t\t\t});\n\n\t\t\t\tif (changed) {\n\t\t\t\t\t$$invalidate(254, registeredPluginsComponents = [...pluginComponents]);\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tif ($$self.$$.dirty[7] & /*disabled*/ 16) {\n\t\t\tdisabledTransition.set(disabled ? 1 : 0);\n\t\t}\n\n\t\tif ($$self.$$.dirty[7] & /*previewImageDataMaxSize*/ 128) {\n\t\t\tmaxImageDataSize = previewImageDataMaxSize\n\t\t\t? sizeMin(previewImageDataMaxSize, maxTextureSize)\n\t\t\t: maxTextureSize;\n\t\t}\n\n\t\tif ($$self.$$.dirty[11] & /*$images*/ 536870912) {\n\t\t\timageProxy.update($images[0]);\n\t\t}\n\n\t\tif ($$self.$$.dirty[11] & /*$shapePreprocessor*/ 268435456) {\n\t\t\tpreprocessShape = $shapePreprocessor\n\t\t\t? (shape, options) => $shapePreprocessor(shape, {\n\t\t\t\t\tflipX: undefined,\n\t\t\t\t\tflipY: undefined,\n\t\t\t\t\trotation: undefined,\n\t\t\t\t\t...options,\n\t\t\t\t\tisPreview: true\n\t\t\t\t})\n\t\t\t: passthrough;\n\t\t}\n\n\t\tif ($$self.$$.dirty[8] & /*enableZoomControls*/ 1 | $$self.$$.dirty[11] & /*$allowZoomControls*/ 134217728) {\n\t\t\tenableZoomControlsProp.set($allowZoomControls && enableZoomControls);\n\t\t}\n\n\t\tif ($$self.$$.dirty[7] & /*markupEditorInteractionMode*/ 268435456 | $$self.$$.dirty[8] & /*enablePanInput*/ 2) {\n\t\t\tenablePanInputProp.set(markupEditorInteractionMode === 'pan'\n\t\t\t? true\n\t\t\t: enablePanInput);\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*$clientRect*/ 524288) {\n\t\t\t$clientRect && rootRect.set(rectCreate($clientRect.x, $clientRect.y, $clientRect.width, $clientRect.height));\n\t\t}\n\n\t\tif ($$self.$$.dirty[10] & /*$rootRect, isOverlayModeEnabled*/ 65664 | $$self.$$.dirty[11] & /*$imageLoadState*/ 1) {\n\t\t\t$rootRect && isOverlayModeEnabled && $imageLoadState && $imageLoadState.complete && syncRootAspectRatio();\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*locale*/ 8 | $$self.$$.dirty[7] & /*utils*/ 4 | $$self.$$.dirty[8] & /*registeredPluginsComponents*/ 64) {\n\t\t\t$$invalidate(307, utilsFiltered = locale && registeredPluginsComponents.length\n\t\t\t? utils || registeredPluginsComponents.map(([id]) => id)\n\t\t\t: []);\n\t\t}\n\n\t\tif ($$self.$$.dirty[9] & /*utilsFiltered*/ 268435456) {\n\t\t\t$$invalidate(45, shouldRenderTabs = utilsFiltered.length > 1);\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*shouldRenderTabs*/ 16384) {\n\t\t\tif (!shouldRenderTabs) tabRect.set(rectCreateEmpty());\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*enableToolbar*/ 1024 | $$self.$$.dirty[11] & /*$rootInsetTop*/ 67108864) {\n\t\t\tif (!enableToolbar) toolRect.set(rectCreate(0, $rootInsetTop, 0, 0));\n\t\t}\n\n\t\tif ($$self.$$.dirty[10] & /*$isInteracting, supportsAnimations*/ 131584) {\n\t\t\t$$invalidate(320, canAnimate = !$isInteracting && supportsAnimations);\n\t\t}\n\n\t\tif ($$self.$$.dirty[11] & /*$prefersReducedMotion*/ 33554432) {\n\t\t\t$$invalidate(318, acceptsAnimations = !$prefersReducedMotion);\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*$clientRect*/ 524288) {\n\t\t\t$$invalidate(264, hasClientRect = $clientRect && $clientRect.width > 0 && $clientRect.height > 0);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*pluginOptions*/ 67108864 | $$self.$$.dirty[8] & /*registeredPluginsComponents*/ 64 | $$self.$$.dirty[9] & /*utilsFiltered*/ 268435456 | $$self.$$.dirty[11] & /*$imageFile*/ 256) {\n\t\t\t$$invalidate(308, utilsAvailable = getAvailableUtils(utilsFiltered, registeredPluginsComponents, pluginOptions, { src: $imageFile }));\n\t\t}\n\n\t\tif ($$self.$$.dirty[9] & /*utilsAvailable*/ 536870912) {\n\t\t\t$$invalidate(263, utilsDefined = utilsAvailable.length);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*locale*/ 8 | $$self.$$.dirty[8] & /*hasClientRect, utilsDefined*/ 98304) {\n\t\t\t$$invalidate(40, canRender = hasClientRect && locale && !!utilsDefined);\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*canRender*/ 512) {\n\t\t\tsetTimeout(() => $$invalidate(255, canRenderDelayed = canRender), 1);\n\t\t}\n\n\t\tif ($$self.$$.dirty[7] & /*animations*/ 8 | $$self.$$.dirty[8] & /*canRenderDelayed*/ 128 | $$self.$$.dirty[10] & /*canAnimate, acceptsAnimations*/ 1280) {\n\t\t\t// if the dev wants to run animations\n\t\t\tset_store_value(\n\t\t\t\tshouldAnimate,\n\t\t\t\t$shouldAnimate = animations === 'always'\n\t\t\t\t? canAnimate\n\t\t\t\t: animations === 'never'\n\t\t\t\t\t? false\n\t\t\t\t\t: canAnimate && canRenderDelayed && acceptsAnimations,\n\t\t\t\t$shouldAnimate\n\t\t\t);\n\t\t}\n\n\t\tif ($$self.$$.dirty[7] & /*animations*/ 8 | $$self.$$.dirty[10] & /*supportsAnimations, acceptsAnimations*/ 768) {\n\t\t\t// if the browser _can_ run animations when the dev wants to run animations\n\t\t\tset_store_value(\n\t\t\t\tisAnimated,\n\t\t\t\t$isAnimated = animations === 'always'\n\t\t\t\t? supportsAnimations\n\t\t\t\t: animations === 'never'\n\t\t\t\t\t? false\n\t\t\t\t\t: supportsAnimations && acceptsAnimations,\n\t\t\t\t$isAnimated\n\t\t\t);\n\t\t}\n\n\t\tif ($$self.$$.dirty[7] & /*previewUpscale*/ 32 | $$self.$$.dirty[10] & /*isOverlayModeEnabled*/ 128) {\n\t\t\tpreviewShouldUpscale.set(previewUpscale || isOverlayModeEnabled);\n\t\t}\n\n\t\tif ($$self.$$.dirty[7] & /*previewPad*/ 64) {\n\t\t\tshouldPadPreview.set(previewPad);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*root*/ 4 | $$self.$$.dirty[11] & /*$imageSelectionZoom, $stageScalar*/ 20971520) {\n\t\t\tif (root) {\n\t\t\t\troot.dispatchEvent(createPing('markupzoom', $imageSelectionZoom)); // @deprecated\n\n\t\t\t\troot.dispatchEvent(createPing('zoom', isNumber($imageSelectionZoom)\n\t\t\t\t? $imageSelectionZoom\n\t\t\t\t: $stageScalar));\n\t\t\t}\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*root*/ 4 | $$self.$$.dirty[11] & /*$imageSelectionPan*/ 8388608) {\n\t\t\tif (root) {\n\t\t\t\troot.dispatchEvent(createPing('markuppan', $imageSelectionPan)); // @deprecated\n\t\t\t\troot.dispatchEvent(createPing('pan', $imageSelectionPan));\n\t\t\t}\n\t\t}\n\n\t\tif ($$self.$$.dirty[11] & /*$imageCropRect*/ 1048576) {\n\t\t\t// reset selection stored state when crop rect is updated\n\t\t\tif ($imageCropRect) imageSelectionStoredStateReset();\n\t\t}\n\n\t\tif ($$self.$$.dirty[11] & /*$imageStaticBounds*/ 2097152) {\n\t\t\t$imageStaticBounds && centerImageStaticBounds();\n\t\t}\n\n\t\tif ($$self.$$.dirty[7] & /*util*/ 2 | $$self.$$.dirty[8] & /*utilsDefined*/ 32768) {\n\t\t\t$$invalidate(43, utilSelected = utilsDefined && util && typeof util === 'string' && getAvailableUtilById(util)\n\t\t\t? util\n\t\t\t: utilsDefined > 0 ? getFirstAvailableUtil() : undefined);\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*utilSelected, $isAnimated*/ 2101248) {\n\t\t\tutilSelected && imageOutlineOpacity.set(0.075, { hard: !$isAnimated });\n\t\t}\n\n\t\tif ($$self.$$.dirty[7] & /*zoomMaskOpacity*/ 256) {\n\t\t\t$$invalidate(315, OVERLAY_OPACITY_MAX = zoomMaskOpacity);\n\t\t}\n\n\t\tif ($$self.$$.dirty[11] & /*$stagePadded, $stagePadding*/ 786432) {\n\t\t\t$$invalidate(316, overlayMin = $stagePadded\n\t\t\t? -Math.max(...Object.values($stagePadding))\n\t\t\t: 0);\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*$imageSelectionRectPresentation, $isAnimated*/ 69206016 | $$self.$$.dirty[10] & /*$stageRect, overlayMin, OVERLAY_OPACITY_MAX*/ 32864) {\n\t\t\tif ($imageSelectionRectPresentation) {\n\t\t\t\tlet l = $imageSelectionRectPresentation.x - $stageRect.x;\n\t\t\t\tlet r = $stageRect.x + $stageRect.width - ($imageSelectionRectPresentation.x + $imageSelectionRectPresentation.width);\n\t\t\t\tlet t = $imageSelectionRectPresentation.y - $stageRect.y;\n\t\t\t\tlet b = $stageRect.y + $stageRect.height - ($imageSelectionRectPresentation.y + $imageSelectionRectPresentation.height);\n\t\t\t\tlet d = Math.min(l, t, r, b);\n\n\t\t\t\toverlayOpacity.set(\n\t\t\t\t\td > overlayMin\n\t\t\t\t\t? 0\n\t\t\t\t\t: Math.min(OVERLAY_OPACITY_MAX, Math.abs(d / OVERLAY_OPACITY_TWEEN_DIST)),\n\t\t\t\t\t{ hard: !$isAnimated }\n\t\t\t\t);\n\t\t\t}\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*$pixelRatio*/ 33554432) {\n\t\t\t// this slightly overlaps the overlay parts preventing bright background colors from shining through\n\t\t\t$$invalidate(314, overlayOverlap = 0.55 / $pixelRatio);\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*$isAnimated*/ 2097152 | $$self.$$.dirty[10] & /*$stageRect, overlayOverlap*/ 32784) {\n\t\t\t$stageRect && overlayLeftRect.set(\n\t\t\t\t{\n\t\t\t\t\tx: 0,\n\t\t\t\t\ty: $stageRect.y,\n\t\t\t\t\twidth: $stageRect.x < OVERLAY_OPACITY_TWEEN_DIST\n\t\t\t\t\t? 0\n\t\t\t\t\t: $stageRect.x,\n\t\t\t\t\theight: $stageRect.height + overlayOverlap\n\t\t\t\t},\n\t\t\t\t{ hard: !$isAnimated }\n\t\t\t);\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*$isAnimated*/ 2097152 | $$self.$$.dirty[10] & /*$stageRect, $rootRect, overlayOverlap*/ 98320) {\n\t\t\t$stageRect && overlayTopRect.set(\n\t\t\t\t{\n\t\t\t\t\tx: 0,\n\t\t\t\t\ty: 0,\n\t\t\t\t\twidth: $rootRect.width,\n\t\t\t\t\theight: $stageRect.y + overlayOverlap\n\t\t\t\t},\n\t\t\t\t{ hard: !$isAnimated }\n\t\t\t);\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*$isAnimated*/ 2097152 | $$self.$$.dirty[10] & /*$stageRect, $rootRect, overlayOverlap*/ 98320) {\n\t\t\tif ($stageRect) {\n\t\t\t\tlet x = $stageRect.x + $stageRect.width;\n\t\t\t\tlet width = $rootRect.width - ($stageRect.x + $stageRect.width);\n\n\t\t\t\tif (width < OVERLAY_OPACITY_TWEEN_DIST) {\n\t\t\t\t\tx += width;\n\t\t\t\t\twidth = 0;\n\t\t\t\t}\n\n\t\t\t\toverlayRightRect.set(\n\t\t\t\t\t{\n\t\t\t\t\t\tx,\n\t\t\t\t\t\ty: $stageRect.y,\n\t\t\t\t\t\twidth,\n\t\t\t\t\t\theight: $stageRect.height + overlayOverlap\n\t\t\t\t\t},\n\t\t\t\t\t{ hard: !$isAnimated }\n\t\t\t\t);\n\t\t\t}\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*$isAnimated*/ 2097152 | $$self.$$.dirty[10] & /*$stageRect, $rootRect*/ 98304) {\n\t\t\t$stageRect && overlayBottomRect.set(\n\t\t\t\t{\n\t\t\t\t\tx: 0,\n\t\t\t\t\ty: $stageRect.y + $stageRect.height,\n\t\t\t\t\twidth: $rootRect.width,\n\t\t\t\t\theight: $rootRect.height - ($stageRect.y + $stageRect.height)\n\t\t\t\t},\n\t\t\t\t{ hard: !$isAnimated }\n\t\t\t);\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*$rootBackgroundColor*/ 16777216 | $$self.$$.dirty[11] & /*$overlayLeftRect, $overlayOpacity*/ 147456) {\n\t\t\t$$invalidate(310, overlayLeft = $overlayLeftRect && {\n\t\t\t\tid: OVERLAY_ID,\n\t\t\t\tbackgroundColor: $rootBackgroundColor,\n\t\t\t\topacity: $overlayOpacity,\n\t\t\t\t...$overlayLeftRect\n\t\t\t});\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*$rootBackgroundColor*/ 16777216 | $$self.$$.dirty[11] & /*$overlayTopRect, $overlayOpacity*/ 81920) {\n\t\t\t$$invalidate(313, overlayTop = $overlayTopRect && {\n\t\t\t\tid: OVERLAY_ID,\n\t\t\t\tbackgroundColor: $rootBackgroundColor,\n\t\t\t\topacity: $overlayOpacity,\n\t\t\t\t...$overlayTopRect\n\t\t\t});\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*$rootBackgroundColor*/ 16777216 | $$self.$$.dirty[11] & /*$overlayRightRect, $overlayOpacity*/ 49152) {\n\t\t\t$$invalidate(312, overlayRight = $overlayRightRect && {\n\t\t\t\tid: OVERLAY_ID,\n\t\t\t\tbackgroundColor: $rootBackgroundColor,\n\t\t\t\topacity: $overlayOpacity,\n\t\t\t\t...$overlayRightRect\n\t\t\t});\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*$rootBackgroundColor*/ 16777216 | $$self.$$.dirty[11] & /*$overlayBottomRect, $overlayOpacity*/ 24576) {\n\t\t\t$$invalidate(311, overlayBottom = $overlayBottomRect && {\n\t\t\t\tid: OVERLAY_ID,\n\t\t\t\tbackgroundColor: $rootBackgroundColor,\n\t\t\t\topacity: $overlayOpacity,\n\t\t\t\t...$overlayBottomRect\n\t\t\t});\n\t\t}\n\n\t\tif ($$self.$$.dirty[10] & /*overlayTop, overlayRight, overlayBottom, overlayLeft*/ 15) {\n\t\t\t$$invalidate(309, gradientOverlays = [overlayTop, overlayRight, overlayBottom, overlayLeft].filter(Boolean));\n\t\t}\n\n\t\tif ($$self.$$.dirty[9] & /*gradientOverlays*/ 1073741824 | $$self.$$.dirty[11] & /*$imageOverlayMarkup*/ 4096) {\n\t\t\t// if overlay top changes\n\t\t\tif (gradientOverlays && $imageOverlayMarkup) {\n\t\t\t\t// remove existing resize overlays\n\t\t\t\tconst overlayMarkupFiltered = $imageOverlayMarkup.filter(markup => markup.id !== OVERLAY_ID);\n\n\t\t\t\timageOverlayMarkup.set([...overlayMarkupFiltered, ...gradientOverlays]);\n\t\t\t}\n\t\t}\n\n\t\tif ($$self.$$.dirty[8] & /*imagePreviewSrc*/ 4 | $$self.$$.dirty[11] & /*$imageFile*/ 256) {\n\t\t\timagePreviewSource.set(imagePreviewSrc\n\t\t\t? imagePreviewSrc\n\t\t\t: $imageFile || undefined);\n\t\t}\n\n\t\tif ($$self.$$.dirty[10] & /*$imagePreview*/ 262144 | $$self.$$.dirty[11] & /*$muteAudioStore*/ 2048) {\n\t\t\t// mute preview\n\t\t\t$imagePreview && setPreviewVideoMuteState($muteAudioStore);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*root*/ 4 | $$self.$$.dirty[6] & /*imagePreviewCurrent*/ 268435456 | $$self.$$.dirty[10] & /*$imagePreview*/ 262144) {\n\t\t\t{\n\t\t\t\t$$invalidate(214, imagePreviewCurrent = $imagePreview);\n\t\t\t\tif ($imagePreview) root.dispatchEvent(createPing('loadpreview', imagePreviewCurrent));\n\t\t\t}\n\t\t}\n\n\t\tif ($$self.$$.dirty[11] & /*$imagePreviewSource*/ 2) {\n\t\t\tif ($imagePreviewSource) resetPreviews();\n\t\t}\n\n\t\tif ($$self.$$.dirty[11] & /*$history*/ 1024) {\n\t\t\t$$invalidate(268, canUndo = $history.index > 0);\n\t\t}\n\n\t\tif ($$self.$$.dirty[11] & /*$history*/ 1024) {\n\t\t\t$$invalidate(267, canRedo = $history.index < $history.length - 1);\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*zoomMultiTouching*/ 4) {\n\t\t\timageSelectionMultiTouching.set(zoomMultiTouching);\n\t\t}\n\n\t\tif ($$self.$$.dirty[11] & /*$previewShouldUpscale*/ 512) {\n\t\t\timagePreviewUpscale.set($previewShouldUpscale);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*locale*/ 8 | $$self.$$.dirty[8] & /*utilsDefined*/ 32768 | $$self.$$.dirty[9] & /*utilsFiltered*/ 268435456) {\n\t\t\t$$invalidate(46, utilsMerged = utilsDefined && utilsFiltered.map(utilId => {\n\t\t\t\tconst util = getAvailableUtilById(utilId);\n\t\t\t\tif (!util) return;\n\n\t\t\t\treturn {\n\t\t\t\t\tid: utilId,\n\t\t\t\t\tview: util[1],\n\t\t\t\t\ttabIcon: locale[`${utilId}Icon`],\n\t\t\t\t\ttabLabel: locale[`${utilId}Label`]\n\t\t\t\t};\n\t\t\t}).filter(Boolean) || []);\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*utilSelected*/ 4096) {\n\t\t\tutilSelectedStore.set(utilSelected);\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*utilsMerged, utilsVisibleFraction*/ 32832) {\n\t\t\t$$invalidate(37, utilsVisibleFraction = utilsMerged.reduce(\n\t\t\t\t(prev, curr) => {\n\t\t\t\t\tprev[curr.id] = utilsVisibleFraction && utilsVisibleFraction[curr.id] || 0;\n\t\t\t\t\treturn prev;\n\t\t\t\t},\n\t\t\t\t{}\n\t\t\t));\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*utilSelected*/ 4096) {\n\t\t\t$$invalidate(75, tabsConfig = {\n\t\t\t\tname: utilsUniqueId,\n\t\t\t\tselected: utilSelected\n\t\t\t});\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*utilsMerged*/ 32768) {\n\t\t\t$$invalidate(74, tabs = utilsMerged.map(util => ({\n\t\t\t\tid: util.id,\n\t\t\t\ticon: util.tabIcon,\n\t\t\t\tlabel: util.tabLabel\n\t\t\t})));\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*utilsMerged*/ 32768) {\n\t\t\t$$invalidate(73, panels = utilsMerged.map(util => util.id));\n\t\t}\n\n\t\tif ($$self.$$.dirty[6] & /*klass*/ 536870912) {\n\t\t\t$$invalidate(72, className = arrayJoin(['PinturaRoot', 'PinturaRootComponent', klass]));\n\t\t}\n\n\t\tif ($$self.$$.dirty[10] & /*$rootRect*/ 65536) {\n\t\t\t$$invalidate(303, horizontalSpace = $rootRect && ($rootRect.width > 1000\n\t\t\t? 'wide'\n\t\t\t: $rootRect.width < 600 ? 'narrow' : undefined));\n\t\t}\n\n\t\tif ($$self.$$.dirty[10] & /*$rootRect*/ 65536) {\n\t\t\t$$invalidate(290, hasLimitedSpace = $rootRect && ($rootRect.width <= 320 || $rootRect.height <= 460));\n\t\t}\n\n\t\tif ($$self.$$.dirty[10] & /*$rootRect*/ 65536) {\n\t\t\t$$invalidate(302, verticalSpace = $rootRect && ($rootRect.height > 1000\n\t\t\t? 'tall'\n\t\t\t: $rootRect.height < 600 ? 'short' : undefined));\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*root*/ 4) {\n\t\t\t$$invalidate(270, isModal = root && root.parentNode && root.parentNode.classList.contains('PinturaModal'));\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*windowWidth*/ 1073741824 | $$self.$$.dirty[8] & /*isModal*/ 4194304 | $$self.$$.dirty[10] & /*$rootRect*/ 65536) {\n\t\t\t$$invalidate(295, isCenteredHorizontally = isModal && $rootRect && windowWidth > $rootRect.width);\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*windowHeight*/ 1 | $$self.$$.dirty[8] & /*isModal*/ 4194304 | $$self.$$.dirty[10] & /*$rootRect*/ 65536) {\n\t\t\t$$invalidate(294, isCenteredVertically = isModal && $rootRect && windowHeight > $rootRect.height);\n\t\t}\n\n\t\tif ($$self.$$.dirty[9] & /*isCenteredHorizontally, isCenteredVertically*/ 98304) {\n\t\t\t$$invalidate(296, isCentered = isCenteredHorizontally && isCenteredVertically);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*enableCanvasAlpha*/ 524288) {\n\t\t\t$$invalidate(293, isTransparent = enableCanvasAlpha);\n\t\t}\n\n\t\tif ($$self.$$.dirty[9] & /*horizontalSpace*/ 16777216) {\n\t\t\t$$invalidate(265, isNarrow = horizontalSpace === 'narrow');\n\t\t}\n\n\t\tif ($$self.$$.dirty[7] & /*layoutDirectionPreference*/ 2097152 | $$self.$$.dirty[10] & /*$rootRect*/ 65536) {\n\t\t\t$$invalidate(304, orientation = getOrientation($rootRect, layoutDirectionPreference));\n\t\t}\n\n\t\tif ($$self.$$.dirty[9] & /*orientation*/ 33554432) {\n\t\t\t$$invalidate(71, isLandscape = orientation === 'landscape');\n\t\t}\n\n\t\tif ($$self.$$.dirty[8] & /*isNarrow*/ 131072 | $$self.$$.dirty[9] & /*verticalSpace*/ 8388608) {\n\t\t\t$$invalidate(292, isCompact = isNarrow || verticalSpace === 'short');\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*windowWidth*/ 1073741824 | $$self.$$.dirty[10] & /*$rootRect*/ 65536) {\n\t\t\t$$invalidate(291, hasSwipeNavigation = iOS && $rootRect && windowWidth === $rootRect.width && !shouldPreventSwipe);\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*zoomControls*/ 2 | $$self.$$.dirty[11] & /*$utilTools*/ 128) {\n\t\t\t$$invalidate(266, activeUtilTools = [...$utilTools || [], ...zoomControls].filter(Boolean));\n\t\t}\n\n\t\tif ($$self.$$.dirty[7] & /*layoutHorizontalUtilsPreference*/ 4194304) {\n\t\t\t$$invalidate(301, navigationHorizontalPreference = `has-navigation-preference-${layoutHorizontalUtilsPreference}`);\n\t\t}\n\n\t\tif ($$self.$$.dirty[7] & /*layoutVerticalUtilsPreference*/ 8388608) {\n\t\t\t$$invalidate(300, navigationVerticalPreference = `has-navigation-preference-${layoutVerticalUtilsPreference}`);\n\t\t}\n\n\t\tif ($$self.$$.dirty[7] & /*layoutVerticalToolbarPreference*/ 16777216) {\n\t\t\t$$invalidate(297, toolbarVerticalPreference = `has-toolbar-preference-${layoutVerticalToolbarPreference}`);\n\t\t}\n\n\t\tif ($$self.$$.dirty[7] & /*layoutVerticalControlGroupsPreference*/ 33554432) {\n\t\t\t$$invalidate(299, controlGroupsVerticalPreference = `has-controlgroups-preference-${layoutVerticalControlGroupsPreference}`);\n\t\t}\n\n\t\tif ($$self.$$.dirty[7] & /*layoutVerticalControlTabsPreference*/ 67108864) {\n\t\t\t$$invalidate(298, controlTabsVerticalpreference = `has-controltabs-preference-${layoutVerticalControlTabsPreference}`);\n\t\t}\n\n\t\tif ($$self.$$.dirty[10] & /*$rootRect*/ 65536) {\n\t\t\t// will update when root element is available (computed style is live, so is updated when the style is updated)\n\t\t\t$$invalidate(306, rootRectDefined = $rootRect !== undefined && $rootRect.width > 0 && $rootRect.height > 0);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*root*/ 4 | $$self.$$.dirty[9] & /*rootRectDefined*/ 134217728) {\n\t\t\t$$invalidate(305, rootElementComputedStyle = rootRectDefined && root && getComputedStyle(root));\n\t\t}\n\n\t\tif ($$self.$$.dirty[9] & /*rootElementComputedStyle*/ 67108864) {\n\t\t\t// sync for first time\n\t\t\tif (rootElementComputedStyle) syncCSSProps();\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*enableToolbar*/ 1024 | $$self.$$.dirty[1] & /*$isAnimated, shouldRenderTabs, showUtils*/ 2121728 | $$self.$$.dirty[6] & /*layoutMode*/ 1073741824 | $$self.$$.dirty[7] & /*disabled*/ 16 | $$self.$$.dirty[8] & /*isModal*/ 4194304 | $$self.$$.dirty[9] & /*orientation, horizontalSpace, verticalSpace, navigationHorizontalPreference, navigationVerticalPreference, controlGroupsVerticalPreference, controlTabsVerticalpreference, toolbarVerticalPreference, isCentered, isCenteredHorizontally, isCenteredVertically, isTransparent, isCompact, hasSwipeNavigation, hasLimitedSpace*/ 67106816 | $$self.$$.dirty[10] & /*$env*/ 8388608 | $$self.$$.dirty[11] & /*$pointerAccuracy, $pointerHoverable*/ 96) {\n\t\t\tenv.set({\n\t\t\t\t...$env,\n\t\t\t\tlayoutMode,\n\t\t\t\torientation,\n\t\t\t\thorizontalSpace,\n\t\t\t\tverticalSpace,\n\t\t\t\tnavigationHorizontalPreference,\n\t\t\t\tnavigationVerticalPreference,\n\t\t\t\tcontrolGroupsVerticalPreference,\n\t\t\t\tcontrolTabsVerticalpreference,\n\t\t\t\ttoolbarVerticalPreference,\n\t\t\t\tisModal,\n\t\t\t\tisDisabled: disabled,\n\t\t\t\tisCentered,\n\t\t\t\tisCenteredHorizontally,\n\t\t\t\tisCenteredVertically,\n\t\t\t\tisAnimated: $isAnimated,\n\t\t\t\tisTransparent,\n\t\t\t\tpointerAccuracy: $pointerAccuracy,\n\t\t\t\tpointerHoverable: $pointerHoverable,\n\t\t\t\tisCompact,\n\t\t\t\thasSwipeNavigation,\n\t\t\t\thasLimitedSpace,\n\t\t\t\thasToolbar: enableToolbar,\n\t\t\t\thasNavigation: shouldRenderTabs && showUtils,\n\t\t\t\tisIOS: iOS,\n\t\t\t\tbrowserVersion: isChrome()\n\t\t\t\t? `chrome-${(navigator.userAgent.match(/Chrome\\/([0-9]+)/) || [])[1]}`\n\t\t\t\t: undefined\n\t\t\t});\n\t\t}\n\n\t\tif ($$self.$$.dirty[10] & /*$env*/ 8388608) {\n\t\t\t$$invalidate(70, envStr = Object.entries($env).map(([key, value]) => {\n\t\t\t\t// is true boolean prop, use key\n\t\t\t\tif ((/^is|has/).test(key)) {\n\t\t\t\t\treturn value ? toKebabCase(key) : undefined;\n\t\t\t\t}\n\n\t\t\t\t// use value\n\t\t\t\treturn value;\n\t\t\t}).filter(Boolean).join(' '));\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*utilSelected*/ 4096) {\n\t\t\t// clear util tools when selected tool changes, when tool becomes active it will update the tools (if needed)\n\t\t\tutilSelected && utilTools.set([]);\n\t\t}\n\n\t\tif ($$self.$$.dirty[11] & /*$imageTransforms, $imagePreviewModifiers*/ 24) {\n\t\t\t$$invalidate(69, imageCanvasState = $imageTransforms && Object.entries($imagePreviewModifiers).filter(([,value]) => value != null).reduce(\n\t\t\t\t(prev, [,value]) => {\n\t\t\t\t\tprev = { ...prev, ...value };\n\t\t\t\t\treturn prev;\n\t\t\t\t},\n\t\t\t\t{}\n\t\t\t));\n\t\t}\n\n\t\tif ($$self.$$.dirty[11] & /*$imageLoadState*/ 1) {\n\t\t\t//\n\t\t\t// loading status\n\t\t\t//\n\t\t\t$$invalidate(287, isStartLoadingImageSource = $imageLoadState && $imageLoadState.task === 'any-to-file');\n\t\t}\n\n\t\tif ($$self.$$.dirty[9] & /*isStartLoadingImageSource*/ 256) {\n\t\t\t// reset active images when loading a new image source\n\t\t\tif (isStartLoadingImageSource && activeImages) {\n\t\t\t\tactiveImages.clear();\n\t\t\t}\n\t\t}\n\n\t\tif ($$self.$$.dirty[11] & /*$imageProps*/ 4) {\n\t\t\t// if image props are ready\n\t\t\t$$invalidate(289, hasProps = !!$imageProps && !!$imageProps.translation);\n\t\t}\n\n\t\tif ($$self.$$.dirty[8] & /*lastImagePreview*/ 512 | $$self.$$.dirty[9] & /*hasProps*/ 1024 | $$self.$$.dirty[10] & /*$imagePreview*/ 262144) {\n\t\t\tif (hasProps && $imagePreview && $imagePreview !== lastImagePreview) {\n\t\t\t\t$$invalidate(257, lastImagePreview = $imagePreview);\n\t\t\t\taddImagePreview();\n\t\t\t}\n\t\t}\n\n\t\tif ($$self.$$.dirty[9] & /*hasProps*/ 1024 | $$self.$$.dirty[11] & /*$imageProps*/ 4) {\n\t\t\t// update images when image props change\n\t\t\thasProps && updateImagePreviews($imageProps);\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*$activeImages*/ 8388608) {\n\t\t\t// clean active images array, removes 'inactive' images when their opacity is 0\n\t\t\tif ($activeImages && $activeImages.length > 1) {\n\t\t\t\tlet imagesToRemove = [];\n\n\t\t\t\tactiveImages.forEach((image, index) => {\n\t\t\t\t\tif (index === 0) return;\n\t\t\t\t\tif (image.get().opacity <= 0) imagesToRemove.push(image);\n\t\t\t\t});\n\n\t\t\t\timagesToRemove.forEach(image => activeImages.remove(image));\n\t\t\t}\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*locale*/ 8 | $$self.$$.dirty[9] & /*missingFeatures*/ 512) {\n\t\t\t$$invalidate(39, isSupportsError = locale && missingFeatures.length && locale.labelSupportError(missingFeatures));\n\t\t}\n\n\t\tif ($$self.$$.dirty[11] & /*$imageLoadState*/ 1) {\n\t\t\t$$invalidate(279, isImageLoadError = $imageLoadState && !!$imageLoadState.error);\n\t\t}\n\n\t\tif ($$self.$$.dirty[11] & /*$imageLoadState*/ 1) {\n\t\t\t$$invalidate(42, isWaitingForImage = !$imageLoadState || !$imageLoadState.complete && $imageLoadState.task === undefined);\n\t\t}\n\n\t\tif ($$self.$$.dirty[11] & /*$imageLoadState*/ 1) {\n\t\t\t$$invalidate(280, imageLoadProgress = $imageLoadState && ($imageLoadState.taskLengthComputable\n\t\t\t? $imageLoadState.taskProgress\n\t\t\t: Infinity));\n\t\t}\n\n\t\tif ($$self.$$.dirty[9] & /*isStartLoadingImageSource*/ 256) {\n\t\t\tif (isStartLoadingImageSource) set_store_value(imageVisualLoadComplete, $imageVisualLoadComplete = false, $imageVisualLoadComplete);\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*$isAnimated*/ 2097152 | $$self.$$.dirty[8] & /*loadTimer*/ 1024 | $$self.$$.dirty[11] & /*$imageLoadState*/ 1) {\n\t\t\tif ($imageLoadState && $imageLoadState.complete) {\n\t\t\t\tconst minLoaderDuration = $isAnimated ? 250 : 0;\n\n\t\t\t\t// TODO: derive visual load complete from interface rest state instead of arbitrary timer\n\t\t\t\tclearTimeout(loadTimer);\n\n\t\t\t\t$$invalidate(258, loadTimer = setTimeout(\n\t\t\t\t\t() => {\n\t\t\t\t\t\tset_store_value(imageVisualLoadComplete, $imageVisualLoadComplete = true, $imageVisualLoadComplete);\n\t\t\t\t\t},\n\t\t\t\t\tminLoaderDuration\n\t\t\t\t));\n\t\t\t}\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*isWaitingForImage*/ 2048 | $$self.$$.dirty[9] & /*isImageLoadError*/ 1 | $$self.$$.dirty[10] & /*$imageVisualLoadComplete*/ 536870912 | $$self.$$.dirty[11] & /*$imageLoadState*/ 1) {\n\t\t\t$$invalidate(284, isLoadingImageData = $imageLoadState && !isImageLoadError && !isWaitingForImage && !$imageVisualLoadComplete);\n\t\t}\n\n\t\tif ($$self.$$.dirty[8] & /*imagePreviewLoaderCancelToken*/ 256 | $$self.$$.dirty[10] & /*$imagePreview*/ 262144 | $$self.$$.dirty[11] & /*$imagePreviewSource*/ 2) {\n\t\t\t// is creating a preview while an image source is set and the preview isn't ready or when a cancel token is found\n\t\t\t$$invalidate(283, isCreatingImagePreview = !!$imagePreviewSource && (!$imagePreview || !!imagePreviewLoaderCancelToken));\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*$isAnimated*/ 2097152 | $$self.$$.dirty[10] & /*$imageVisualLoadComplete*/ 536870912) {\n\t\t\tif ($imageVisualLoadComplete) {\n\t\t\t\tconst gridOpacityFadeDuration = $isAnimated ? 500 : 0;\n\t\t\t\tsetTimeout(() => gridOpacity.set(1), gridOpacityFadeDuration);\n\t\t\t} else {\n\t\t\t\tgridOpacity.set(0);\n\t\t\t}\n\t\t}\n\n\t\tif ($$self.$$.dirty[10] & /*$imageProcessingPreparing, $imageProcessState*/ 1090519040) {\n\t\t\t//\n\t\t\t// processing status\n\t\t\t//\n\t\t\t$$invalidate(278, isProcessingImage = !!($imageProcessingPreparing || $imageProcessState && $imageProcessState.progress !== undefined && !$imageProcessState.complete));\n\t\t}\n\n\t\tif ($$self.$$.dirty[8] & /*isProcessingImage*/ 1073741824) {\n\t\t\tif (isProcessingImage) setPreviewVideoPlayState(false);\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*isWaitingForImage*/ 2048 | $$self.$$.dirty[11] & /*$imageLoadState*/ 1) {\n\t\t\t$$invalidate(281, imageLoadShowProgressIndicator = $imageLoadState && !($imageLoadState.error || isWaitingForImage));\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*locale*/ 8 | $$self.$$.dirty[11] & /*$imageLoadState*/ 1) {\n\t\t\t$$invalidate(282, imageLoadStatusLabel = locale && (!$imageLoadState\n\t\t\t? locale.statusLabelLoadImage($imageLoadState)\n\t\t\t: !$imageLoadState.complete || $imageLoadState.error\n\t\t\t\t? stringReplace(locale.statusLabelLoadImage($imageLoadState), $imageLoadState.error && $imageLoadState.error.metadata, '{', '}')\n\t\t\t\t: locale.statusLabelLoadImage({\n\t\t\t\t\t\tprogress: Infinity,\n\t\t\t\t\t\ttask: 'blob-to-bitmap'\n\t\t\t\t\t})));\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*locale*/ 8 | $$self.$$.dirty[10] & /*$imageProcessState*/ 1073741824) {\n\t\t\t$$invalidate(277, imageProcessStatusLabel = $imageProcessState && locale && locale.statusLabelProcessImage($imageProcessState));\n\t\t}\n\n\t\tif ($$self.$$.dirty[10] & /*$imageProcessState*/ 1073741824) {\n\t\t\t$$invalidate(275, imageProcessProgress = $imageProcessState && ($imageProcessState.taskLengthComputable\n\t\t\t? $imageProcessState.taskProgress\n\t\t\t: Infinity));\n\t\t}\n\n\t\tif ($$self.$$.dirty[10] & /*$imageProcessState*/ 1073741824) {\n\t\t\t$$invalidate(276, imageProcessShowProgressIndicator = $imageProcessState && !$imageProcessState.error);\n\t\t}\n\n\t\tif ($$self.$$.dirty[10] & /*$imageProcessState*/ 1073741824) {\n\t\t\t$$invalidate(274, isImageProcessingError = !!($imageProcessState && $imageProcessState.error));\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*locale*/ 8 | $$self.$$.dirty[1] & /*isWaitingForImage*/ 2048 | $$self.$$.dirty[6] & /*status*/ 134217728 | $$self.$$.dirty[8] & /*isProcessingImage, imageProcessStatusLabel, isImageProcessingError, imageProcessShowProgressIndicator, imageProcessProgress*/ 2080374784 | $$self.$$.dirty[9] & /*isImageLoadError, isLoadingImageData, isCreatingImagePreview, imageLoadStatusLabel, imageLoadShowProgressIndicator, imageLoadProgress*/ 63) {\n\t\t\tif (status) {\n\t\t\t\tlet label;\n\t\t\t\tlet progress;\n\t\t\t\tlet showProgress;\n\t\t\t\tlet isError;\n\t\t\t\tlet errorCallback;\n\t\t\t\tif (isString(status)) label = status;\n\n\t\t\t\tif (isNumber(status)) progress = status; else if (Array.isArray(status)) {\n\t\t\t\t\t[label, progress, errorCallback] = status;\n\t\t\t\t\tif (progress === false) isError = true;\n\t\t\t\t\tif (isNumber(progress)) showProgress = true;\n\t\t\t\t}\n\n\t\t\t\t$$invalidate(34, statusState = (label || progress) && {\n\t\t\t\t\ttext: label,\n\t\t\t\t\taside: isError || showProgress,\n\t\t\t\t\tprogressIndicator: { visible: showProgress, progress },\n\t\t\t\t\tcloseButton: isError && {\n\t\t\t\t\t\tlabel: locale.statusLabelButtonClose,\n\t\t\t\t\t\ticon: locale.statusIconButtonClose,\n\t\t\t\t\t\tonclick: errorCallback || (() => $$invalidate(213, status = undefined))\n\t\t\t\t\t}\n\t\t\t\t});\n\t\t\t} else if (locale && isWaitingForImage || isImageLoadError || isLoadingImageData || isCreatingImagePreview) {\n\t\t\t\t$$invalidate(34, statusState = {\n\t\t\t\t\ttext: imageLoadStatusLabel,\n\t\t\t\t\taside: isImageLoadError || imageLoadShowProgressIndicator,\n\t\t\t\t\tprogressIndicator: {\n\t\t\t\t\t\tvisible: imageLoadShowProgressIndicator,\n\t\t\t\t\t\tprogress: imageLoadProgress\n\t\t\t\t\t},\n\t\t\t\t\tcloseButton: isImageLoadError && {\n\t\t\t\t\t\tlabel: locale.statusLabelButtonClose,\n\t\t\t\t\t\ticon: locale.statusIconButtonClose,\n\t\t\t\t\t\tonclick: handleCloseImageLoadError\n\t\t\t\t\t}\n\t\t\t\t});\n\t\t\t} else if (locale && isProcessingImage && imageProcessStatusLabel) {\n\t\t\t\t$$invalidate(34, statusState = {\n\t\t\t\t\ttext: imageProcessStatusLabel,\n\t\t\t\t\taside: isImageProcessingError || imageProcessShowProgressIndicator,\n\t\t\t\t\tprogressIndicator: {\n\t\t\t\t\t\tvisible: imageProcessShowProgressIndicator,\n\t\t\t\t\t\tprogress: imageProcessProgress\n\t\t\t\t\t},\n\t\t\t\t\tcloseButton: isImageProcessingError && {\n\t\t\t\t\t\tlabel: locale.statusLabelButtonClose,\n\t\t\t\t\t\ticon: locale.statusIconButtonClose,\n\t\t\t\t\t\tonclick: handleCloseImageProcessError\n\t\t\t\t\t}\n\t\t\t\t});\n\t\t\t} else {\n\t\t\t\t$$invalidate(34, statusState = undefined);\n\t\t\t}\n\t\t}\n\n\t\tif ($$self.$$.dirty[6] & /*status*/ 134217728) {\n\t\t\t$$invalidate(286, isCustomStatus = status !== undefined);\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*$isAnimated*/ 2097152 | $$self.$$.dirty[8] & /*isModal*/ 4194304 | $$self.$$.dirty[10] & /*$imageProcessState*/ 1073741824) {\n\t\t\tif (isModal && $imageProcessState && $imageProcessState.complete) {\n\t\t\t\twasProcessingImage.set(true);\n\t\t\t\tsetTimeout(() => wasProcessingImage.set(false), $isAnimated ? 100 : 0);\n\t\t\t}\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*root*/ 4 | $$self.$$.dirty[1] & /*utilSelected*/ 4096 | $$self.$$.dirty[10] & /*$imageVisualLoadComplete*/ 536870912) {\n\t\t\t$imageVisualLoadComplete && root && root.dispatchEvent(createPing('selectutil', utilSelected));\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*isSupportsError, isWaitingForImage*/ 2304 | $$self.$$.dirty[8] & /*isProcessingImage*/ 1073741824 | $$self.$$.dirty[9] & /*isImageLoadError, isLoadingImageData, isCreatingImagePreview, isCustomStatus*/ 177 | $$self.$$.dirty[10] & /*$wasProcessingImage*/ 268435456) {\n\t\t\t$$invalidate(285, isStatusActive = $wasProcessingImage || isSupportsError || isWaitingForImage || isImageLoadError || isLoadingImageData || isCreatingImagePreview || isProcessingImage || isCustomStatus);\n\t\t}\n\n\t\tif ($$self.$$.dirty[9] & /*isStatusActive*/ 64) {\n\t\t\tset_store_value(statusOpacity, $statusOpacity = isStatusActive ? 1 : 0, $statusOpacity);\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*$isAnimated*/ 2097152 | $$self.$$.dirty[9] & /*isStatusActive*/ 64) {\n\t\t\tstatusOpacity.set(isStatusActive ? 1 : 0, { duration: $isAnimated ? 500 : 1 });\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*$statusOpacity*/ 4194304) {\n\t\t\t$$invalidate(41, isStatusVisible = $statusOpacity > 0);\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*statusState*/ 8) {\n\t\t\t$$invalidate(273, hasAside = !!(statusState && statusState.aside));\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*isStatusVisible, statusState, $isAnimated*/ 2098184 | $$self.$$.dirty[8] & /*asideWidthUpdateTimer, hasAside*/ 33556480 | $$self.$$.dirty[10] & /*$statusWidth*/ 134217728) {\n\t\t\tif (isStatusVisible && statusState) {\n\t\t\t\tclearTimeout(asideWidthUpdateTimer);\n\t\t\t\tconst springProps = { hard: $isAnimated === false };\n\n\t\t\t\t// has aside\n\t\t\t\tif (hasAside) {\n\t\t\t\t\t// if error occured, or not animating, snap in possition\n\t\t\t\t\tconst hard = !!statusState.error || !$isAnimated;\n\n\t\t\t\t\tasideOpacity.set(1, springProps);\n\n\t\t\t\t\t// update offset of aside\n\t\t\t\t\tasideOffset.set($statusWidth, { hard });\n\n\t\t\t\t\t// update width of aside, this pushes message to left so it stays centered\n\t\t\t\t\t$$invalidate(259, asideWidthUpdateTimer = setTimeout(\n\t\t\t\t\t\t() => {\n\t\t\t\t\t\t\tasideWidth.set(16, springProps);\n\t\t\t\t\t\t},\n\t\t\t\t\t\t1\n\t\t\t\t\t));\n\t\t\t\t} else {\n\t\t\t\t\tasideOpacity.set(0, springProps);\n\n\t\t\t\t\t$$invalidate(259, asideWidthUpdateTimer = setTimeout(\n\t\t\t\t\t\t() => {\n\t\t\t\t\t\t\tasideWidth.set(0, springProps);\n\t\t\t\t\t\t},\n\t\t\t\t\t\t1\n\t\t\t\t\t));\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*isStatusVisible*/ 1024) {\n\t\t\tif (!isStatusVisible) {\n\t\t\t\tstatusOffset.set(undefined, { hard: true });\n\t\t\t\tasideOffset.set(undefined, { hard: true });\n\t\t\t\tasideWidth.set(0, { hard: true });\n\t\t\t}\n\t\t}\n\n\t\tif ($$self.$$.dirty[10] & /*$asideWidth*/ 67108864) {\n\t\t\t$$invalidate(272, statusIndent = $asideWidth * 0.5);\n\t\t}\n\n\t\tif ($$self.$$.dirty[8] & /*statusIndent*/ 16777216 | $$self.$$.dirty[10] & /*$statusOffset*/ 33554432) {\n\t\t\t$$invalidate(68, statusTransform = `transform: translateX(${$statusOffset - statusIndent}px)`);\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*isSupportsError*/ 256 | $$self.$$.dirty[10] & /*$imagePreview*/ 262144) {\n\t\t\t// ready bool\n\t\t\t$$invalidate(38, isReady = $imagePreview && !isSupportsError);\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*isReady*/ 128 | $$self.$$.dirty[8] & /*needsInteractionLock, isModal*/ 12582912) {\n\t\t\t$$invalidate(269, preventTouchHandler = needsInteractionLock && (isReady || isModal)\n\t\t\t? preventDefault\n\t\t\t: noop$1);\n\t\t}\n\n\t\tif ($$self.$$.dirty[8] & /*preventTouchHandler*/ 2097152) {\n\t\t\t$$invalidate(67, handleTouchMove = preventTouchHandler);\n\t\t}\n\n\t\tif ($$self.$$.dirty[8] & /*preventTouchHandler*/ 2097152) {\n\t\t\t$$invalidate(66, handlePointerMove = preventTouchHandler);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*locale*/ 8 | $$self.$$.dirty[1] & /*$redrawTrigger*/ 1048576 | $$self.$$.dirty[7] & /*willRenderToolbar, enableButtonClose, enableButtonRevert, enableNavigateHistory, enableButtonExport*/ 190464 | $$self.$$.dirty[8] & /*canUndo, canRedo, activeUtilTools, isNarrow*/ 1966080 | $$self.$$.dirty[10] & /*$env*/ 8388608) {\n\t\t\t// dynamic IO menu\n\t\t\t$$invalidate(65, toolbarItems = locale && $redrawTrigger && runSafe(() => willRenderToolbar(\n\t\t\t\t[\n\t\t\t\t\t[\n\t\t\t\t\t\t'div',\n\t\t\t\t\t\t'alpha',\n\t\t\t\t\t\t{ class: 'PinturaNavGroup' },\n\t\t\t\t\t\t[\n\t\t\t\t\t\t\t[\n\t\t\t\t\t\t\t\t'div',\n\t\t\t\t\t\t\t\t'alpha-set',\n\t\t\t\t\t\t\t\t{ class: 'PinturaNavSet' },\n\t\t\t\t\t\t\t\t[\n\t\t\t\t\t\t\t\t\t// button close\n\t\t\t\t\t\t\t\t\tenableButtonClose && [\n\t\t\t\t\t\t\t\t\t\t'Button',\n\t\t\t\t\t\t\t\t\t\t'close',\n\t\t\t\t\t\t\t\t\t\t{\n\t\t\t\t\t\t\t\t\t\t\tlabel: locale.labelClose,\n\t\t\t\t\t\t\t\t\t\t\ticon: locale.iconButtonClose,\n\t\t\t\t\t\t\t\t\t\t\tonclick: () => dispatch('close'),\n\t\t\t\t\t\t\t\t\t\t\thideLabel: true\n\t\t\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\t\t],\n\t\t\t\t\t\t\t\t\t// button revert\n\t\t\t\t\t\t\t\t\tenableButtonRevert && [\n\t\t\t\t\t\t\t\t\t\t'Button',\n\t\t\t\t\t\t\t\t\t\t'revert',\n\t\t\t\t\t\t\t\t\t\t{\n\t\t\t\t\t\t\t\t\t\t\tlabel: locale.labelButtonRevert,\n\t\t\t\t\t\t\t\t\t\t\ticon: locale.iconButtonRevert,\n\t\t\t\t\t\t\t\t\t\t\tdisabled: !canUndo,\n\t\t\t\t\t\t\t\t\t\t\tonclick: revert,\n\t\t\t\t\t\t\t\t\t\t\thideLabel: true\n\t\t\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\t\t]\n\t\t\t\t\t\t\t\t]\n\t\t\t\t\t\t\t]\n\t\t\t\t\t\t]\n\t\t\t\t\t],\n\t\t\t\t\t[\n\t\t\t\t\t\t'div',\n\t\t\t\t\t\t'beta',\n\t\t\t\t\t\t{\n\t\t\t\t\t\t\tclass: 'PinturaNavGroup PinturaNavGroupFloat'\n\t\t\t\t\t\t},\n\t\t\t\t\t\t[\n\t\t\t\t\t\t\tenableNavigateHistory && [\n\t\t\t\t\t\t\t\t'div',\n\t\t\t\t\t\t\t\t'history',\n\t\t\t\t\t\t\t\t{ class: 'PinturaNavSet' },\n\t\t\t\t\t\t\t\t[\n\t\t\t\t\t\t\t\t\t[\n\t\t\t\t\t\t\t\t\t\t'Button',\n\t\t\t\t\t\t\t\t\t\t'undo',\n\t\t\t\t\t\t\t\t\t\t{\n\t\t\t\t\t\t\t\t\t\t\tlabel: locale.labelButtonUndo,\n\t\t\t\t\t\t\t\t\t\t\ticon: locale.iconButtonUndo,\n\t\t\t\t\t\t\t\t\t\t\tdisabled: !canUndo,\n\t\t\t\t\t\t\t\t\t\t\tonclick: history.undo,\n\t\t\t\t\t\t\t\t\t\t\thideLabel: true\n\t\t\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\t\t],\n\t\t\t\t\t\t\t\t\t[\n\t\t\t\t\t\t\t\t\t\t'Button',\n\t\t\t\t\t\t\t\t\t\t'redo',\n\t\t\t\t\t\t\t\t\t\t{\n\t\t\t\t\t\t\t\t\t\t\tlabel: locale.labelButtonRedo,\n\t\t\t\t\t\t\t\t\t\t\ticon: locale.iconButtonRedo,\n\t\t\t\t\t\t\t\t\t\t\tdisabled: !canRedo,\n\t\t\t\t\t\t\t\t\t\t\tonclick: history.redo,\n\t\t\t\t\t\t\t\t\t\t\thideLabel: true\n\t\t\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\t\t]\n\t\t\t\t\t\t\t\t]\n\t\t\t\t\t\t\t],\n\t\t\t\t\t\t\tactiveUtilTools.length && [\n\t\t\t\t\t\t\t\t'div',\n\t\t\t\t\t\t\t\t'plugin-tools',\n\t\t\t\t\t\t\t\t{ class: 'PinturaNavSet' },\n\t\t\t\t\t\t\t\tactiveUtilTools.filter(Boolean).map(// in\n\t\t\t\t\t\t\t\t([component, key, props]) => // out\n\t\t\t\t\t\t\t\t[component, key, { ...props }])\n\t\t\t\t\t\t\t]\n\t\t\t\t\t\t]\n\t\t\t\t\t],\n\t\t\t\t\t[\n\t\t\t\t\t\t'div',\n\t\t\t\t\t\t'gamma',\n\t\t\t\t\t\t{ class: 'PinturaNavGroup' },\n\t\t\t\t\t\t[\n\t\t\t\t\t\t\tenableButtonExport && [\n\t\t\t\t\t\t\t\t'Button',\n\t\t\t\t\t\t\t\t'export',\n\t\t\t\t\t\t\t\t{\n\t\t\t\t\t\t\t\t\tlabel: locale.labelButtonExport,\n\t\t\t\t\t\t\t\t\ticon: isNarrow && locale.iconButtonExport,\n\t\t\t\t\t\t\t\t\tclass: 'PinturaButtonExport',\n\t\t\t\t\t\t\t\t\tonclick: handleExport,\n\t\t\t\t\t\t\t\t\thideLabel: isNarrow\n\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t]\n\t\t\t\t\t\t]\n\t\t\t\t\t]\n\t\t\t\t],\n\t\t\t\t{ ...$env },\n\t\t\t\t() => redrawTrigger.set({})\n\t\t\t)));\n\t\t}\n\n\t\tif ($$self.$$.dirty[10] & /*$imageRedaction*/ 524288) {\n\t\t\t// toggles on/off depending on active redaction shapes\n\t\t\t$$invalidate(262, hasImageRedaction = $imageRedaction && !!$imageRedaction.length);\n\t\t}\n\n\t\tif ($$self.$$.dirty[8] & /*hasImageRedaction*/ 16384 | $$self.$$.dirty[10] & /*$imageSize, $imageRedaction*/ 526336) {\n\t\t\t// scales down resolution of scrambled image if redaction takes up more than half of view\n\t\t\t$$invalidate(261, imageRedactionScalar = hasImageRedaction && getImageRedactionScaleFactor($imageSize, $imageRedaction));\n\t\t}\n\n\t\tif ($$self.$$.dirty[8] & /*hasImageRedaction, imageRedactionScalar*/ 24576 | $$self.$$.dirty[10] & /*$imagePreview, $imageScrambler, $imageBackgroundColor*/ 6553600) {\n\t\t\t// only update/render preview if image redaction shapes are found\n\t\t\thasImageRedaction && updateScrambledPreview($imagePreview, $imageScrambler, imageRedactionScalar, $imageBackgroundColor);\n\t\t}\n\n\t\tif ($$self.$$.dirty[8] & /*scrambledPreviewImage*/ 4096 | $$self.$$.dirty[10] & /*$imageRedaction, $imageSize, $imageRedactionRendering*/ 1574912) {\n\t\t\tif ($imageRedaction && scrambledPreviewImage && $imageSize) {\n\t\t\t\t// used to calculate fraction x y coordinates of shape corners\n\t\t\t\tconst { width, height } = $imageSize;\n\n\t\t\t\t// set rendering for redactions\n\t\t\t\tconst backgroundImageRendering = isSafari()\n\t\t\t\t? 'pixelated'\n\t\t\t\t: $imageRedactionRendering === 'auto'\n\t\t\t\t\t? 'auto'\n\t\t\t\t\t: 'pixelated';\n\n\t\t\t\t// to blended shapes\n\t\t\t\t$$invalidate(35, blendShapes = $imageRedaction.map(shape => {\n\t\t\t\t\tconst rect = rectCreate(shape.x, shape.y, shape.width, shape.height);\n\t\t\t\t\tconst corners = rectRotate(rectClone$1(rect), shape.rotation);\n\t\t\t\t\tconst backgroundCorners = corners.map(corner => vectorCreate(corner.x / width, corner.y / height));\n\n\t\t\t\t\treturn {\n\t\t\t\t\t\t...shape,\n\t\t\t\t\t\tid: 'redaction',\n\t\t\t\t\t\tflipX: false,\n\t\t\t\t\t\tflipY: false,\n\t\t\t\t\t\tcornerRadius: 0,\n\t\t\t\t\t\tstrokeWidth: 0,\n\t\t\t\t\t\tstrokeColor: undefined,\n\t\t\t\t\t\tbackgroundColor: [0, 0, 0, 0],\n\t\t\t\t\t\tbackgroundImage: scrambledPreviewImage,\n\t\t\t\t\t\tbackgroundImageRendering,\n\t\t\t\t\t\tbackgroundCorners\n\t\t\t\t\t};\n\t\t\t\t}));\n\t\t\t}\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*rootPortal*/ 32) {\n\t\t\trootPortal && rootPortalStore.set(rootPortal);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*root*/ 4 | $$self.$$.dirty[1] & /*isReady*/ 128) {\n\t\t\t// now ready for interaction\n\t\t\tisReady && root.dispatchEvent(createPing('ready'));\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*$imageAnnotation*/ 262144) {\n\t\t\tmarkAnnotationShapesAsDirty();\n\t\t}\n\n\t\tif ($$self.$$.dirty[10] & /*$imageRotation, $imageFlipX, $imageFlipY, $imageSize*/ 30720) {\n\t\t\tmarkAnnotationRequiresPreprocessing();\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*$imageDecoration*/ 131072) {\n\t\t\tmarkDecorationShapesAsDirty();\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*$imageFrame*/ 65536) {\n\t\t\tmarkFrameShapesAsDirty();\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*blendShapes*/ 16) {\n\t\t\tmarkBlendShapesAsDirty();\n\t\t}\n\t};\n\n\t$$invalidate(319, supportsAnimations = !isSoftwareRendering());\n\n\timageTransformsSnapPixels = getDevicePixelRatio() === 1\n\t? transforms => {\n\t\t\tif (!transforms) return;\n\t\t\tvectorApply(transforms.origin, Math.round);\n\t\t\tvectorApply(transforms.translation, Math.round);\n\t\t}\n\t: passthrough;\n\n\t//\n\t// support test status\n\t//\n\t$$invalidate(288, missingFeatures = [!supportsWebGL() && 'WebGL'].filter(Boolean));\n\n\t// These are again needed since iOS 15 (was needed for 12 and lower, but  wasn't needed for 13, 14)\n\t// Now also needed for Firefox on Android\n\t$$invalidate(271, needsInteractionLock = isIOS() || isAndroid() && isFirefox());\n\n\t// used to route ping events\n\t$$invalidate(64, routePing = createPingRouter(eventProxy.pub));\n\n\treturn [\n\t\tzoomLevel,\n\t\tpluginInterface,\n\t\troot,\n\t\tlocale,\n\t\tid,\n\t\tpreviewMaskOpacity,\n\t\tpreviewImageTextPixelRatio,\n\t\tmarkupMaskOpacity,\n\t\telasticityMultiplier,\n\t\twillRenderCanvas,\n\t\tenableToolbar,\n\t\tenableTransparencyGrid,\n\t\tmarkupEditorZoomLevels,\n\t\tmarkupEditorZoomAdjustStep,\n\t\tmarkupEditorZoomAdjustFactor,\n\t\tmarkupEditorZoomAdjustWheelFactor,\n\t\tenablePan,\n\t\tenableZoom,\n\t\tenableZoomInput,\n\t\tenableCanvasAlpha,\n\t\tenablePanLimit,\n\t\tpanLimitGutterScalar,\n\t\tzoomPresetOptions,\n\t\tzoomAdjustStep,\n\t\tzoomAdjustFactor,\n\t\tzoomAdjustWheelFactor,\n\t\tpluginOptions,\n\t\timageSourceToImageData,\n\t\timagePreview,\n\t\thistory,\n\t\twindowWidth,\n\t\twindowHeight,\n\t\tzoomControls,\n\t\tzoomMultiTouching,\n\t\tstatusState,\n\t\tblendShapes,\n\t\trootPortal,\n\t\tutilsVisibleFraction,\n\t\tisReady,\n\t\tisSupportsError,\n\t\tcanRender,\n\t\tisStatusVisible,\n\t\tisWaitingForImage,\n\t\tutilSelected,\n\t\tshowUtils,\n\t\tshouldRenderTabs,\n\t\tutilsMerged,\n\t\t$imageFrame,\n\t\t$imageDecoration,\n\t\t$imageAnnotation,\n\t\t$clientRect,\n\t\t$redrawTrigger,\n\t\t$isAnimated,\n\t\t$statusOpacity,\n\t\t$activeImages,\n\t\t$rootBackgroundColor,\n\t\t$pixelRatio,\n\t\t$imageSelectionRectPresentation,\n\t\tutilsVisible,\n\t\timageAnnotationShapesDirty,\n\t\timageAnnotationRequiresPreprocessing,\n\t\timageDecorationShapesDirty,\n\t\timageFrameShapesDirty,\n\t\timageBlendShapesDirty,\n\t\troutePing,\n\t\ttoolbarItems,\n\t\thandlePointerMove,\n\t\thandleTouchMove,\n\t\tstatusTransform,\n\t\timageCanvasState,\n\t\tenvStr,\n\t\tisLandscape,\n\t\tclassName,\n\t\tpanels,\n\t\ttabs,\n\t\ttabsConfig,\n\t\t$tabRect,\n\t\t$willRequest,\n\t\t$asideOffset,\n\t\t$asideOpacity,\n\t\t$toolRect,\n\t\t$imageCropLimitToImage,\n\t\t$interfaceImages,\n\t\t$gridSize,\n\t\t$gridColorEven,\n\t\t$gridColorOdd,\n\t\t$gridOpacity,\n\t\t$willRequestResource,\n\t\t$imageOverlay,\n\t\t$allowPan,\n\t\t$enablePanInputStatus,\n\t\t$allowZoom,\n\t\t$enableZoomInputStore,\n\t\t$enableZoomControlsProp,\n\t\t$imageSelectionRectCentered,\n\t\t$imageSelectionRectScalar,\n\t\t$disabledTransition,\n\t\tmuteAudioStore,\n\t\tredrawTrigger,\n\t\telasticityMultiplierStore,\n\t\tdisabledTransition,\n\t\timageFile,\n\t\timageSize,\n\t\tmediaDuration,\n\t\tmediaTrim,\n\t\timageLoadState,\n\t\timageProcessState,\n\t\timageCropAspectRatio,\n\t\timageCropLimitToImage,\n\t\timageCropRect,\n\t\timageRotation,\n\t\timageFlipX,\n\t\timageFlipY,\n\t\timageBackgroundColor,\n\t\timageDecoration,\n\t\timageAnnotation,\n\t\timageRedaction,\n\t\timageFrame,\n\t\timageState,\n\t\timages,\n\t\tshapePreprocessor,\n\t\timageScrambler,\n\t\timageRedactionRendering,\n\t\twillRequest,\n\t\twillRequestResource,\n\t\tallowPan,\n\t\tallowZoom,\n\t\tallowZoomControls,\n\t\tenablePanInputStore,\n\t\tenableZoomInputStore,\n\t\tenableZoomControlsProp,\n\t\tenablePanInputProp,\n\t\tenablePanInputStatus,\n\t\trootBackgroundColor,\n\t\trootForegroundColor,\n\t\trootLineColor,\n\t\tclientRect,\n\t\trootRect,\n\t\ttabRect,\n\t\trootInsetTop,\n\t\ttoolRect,\n\t\tutilRect,\n\t\tpointerAccuracy,\n\t\tpointerHoverable,\n\t\tisInteracting,\n\t\tisInteractingFraction,\n\t\tshouldAnimate,\n\t\tisAnimated,\n\t\tpreviewShouldUpscale,\n\t\timageIsStatic,\n\t\timageCropRectSnapshot,\n\t\timageCropRectIntent,\n\t\timageSelectionRect,\n\t\timageSelectionRectSnapshot,\n\t\timageSelectionRectIntent,\n\t\timageSelectionRectOffset,\n\t\tstagePadding,\n\t\tstagePadded,\n\t\tstageRect,\n\t\timageStaticBounds,\n\t\tstageScalar,\n\t\timageSelectionZoom,\n\t\timageSelectionRectScalar,\n\t\timageSelectionScalar,\n\t\timageSelectionPan,\n\t\timageSelectionRectPresentation,\n\t\timageSelectionRectStaticScalar,\n\t\timageSelectionRectCentered,\n\t\tpresentationScalar,\n\t\timageOverlayMarkup,\n\t\timageOverlay,\n\t\toverlayOpacity,\n\t\toverlayLeftRect,\n\t\toverlayTopRect,\n\t\toverlayRightRect,\n\t\toverlayBottomRect,\n\t\timageVisualLoadComplete,\n\t\timagePreviewSource,\n\t\timagePreviewModifiers,\n\t\tinterfaceImages,\n\t\timageTransforms,\n\t\tenv,\n\t\tpixelRatio,\n\t\timageProcessingPreparing,\n\t\tactiveImages,\n\t\tutilTools,\n\t\tutilStores,\n\t\tgridSize,\n\t\tgridColorEven,\n\t\tgridColorOdd,\n\t\tgridOpacity,\n\t\thandleTransitionEnd,\n\t\timageProps,\n\t\tstatusOpacity,\n\t\twasProcessingImage,\n\t\tasideOffset,\n\t\tasideOpacity,\n\t\tasideWidth,\n\t\tstatusWidth,\n\t\tstatusOffset,\n\t\toffsetAside,\n\t\thandleTouchStart,\n\t\tpressedKeysStore,\n\t\thandleKeydown,\n\t\thandleKeyup,\n\t\thandleWindowBlur,\n\t\thandleContextMenu,\n\t\thandleDropFiles,\n\t\tbrowseFileSystem,\n\t\thandlePaste,\n\t\tgetStageState,\n\t\tcreateCanvasState,\n\t\thandleMeasureUtil,\n\t\tstatus,\n\t\timagePreviewCurrent,\n\t\tklass,\n\t\tlayoutMode,\n\t\tstores,\n\t\tutil,\n\t\tutils,\n\t\tanimations,\n\t\tdisabled,\n\t\tpreviewUpscale,\n\t\tpreviewPad,\n\t\tpreviewImageDataMaxSize,\n\t\tzoomMaskOpacity,\n\t\twillRevert,\n\t\twillProcessImage,\n\t\twillRenderToolbar,\n\t\twillSetHistoryInitialState,\n\t\tenableButtonExport,\n\t\tenableButtonRevert,\n\t\tenableNavigateHistory,\n\t\tenableUtils,\n\t\tenableButtonClose,\n\t\tenableDropImage,\n\t\tenablePasteImage,\n\t\tenableBrowseImage,\n\t\tlayoutDirectionPreference,\n\t\tlayoutHorizontalUtilsPreference,\n\t\tlayoutVerticalUtilsPreference,\n\t\tlayoutVerticalToolbarPreference,\n\t\tlayoutVerticalControlGroupsPreference,\n\t\tlayoutVerticalControlTabsPreference,\n\t\tmarkupEditorZoomLevel,\n\t\tmarkupEditorInteractionMode,\n\t\tmuteAudio,\n\t\twillSetMediaInitialTimeOffset,\n\t\tenableZoomControls,\n\t\tenablePanInput,\n\t\timagePreviewSrc,\n\t\timageOrienter,\n\t\tpluginComponents,\n\t\tsub,\n\t\tregisteredPluginsComponents,\n\t\tcanRenderDelayed,\n\t\timagePreviewLoaderCancelToken,\n\t\tlastImagePreview,\n\t\tloadTimer,\n\t\tasideWidthUpdateTimer,\n\t\tscrambledPreviewImage,\n\t\timageRedactionScalar,\n\t\thasImageRedaction,\n\t\tutilsDefined,\n\t\thasClientRect,\n\t\tisNarrow,\n\t\tactiveUtilTools,\n\t\tcanRedo,\n\t\tcanUndo,\n\t\tpreventTouchHandler,\n\t\tisModal,\n\t\tneedsInteractionLock,\n\t\tstatusIndent,\n\t\thasAside,\n\t\tisImageProcessingError,\n\t\timageProcessProgress,\n\t\timageProcessShowProgressIndicator,\n\t\timageProcessStatusLabel,\n\t\tisProcessingImage,\n\t\tisImageLoadError,\n\t\timageLoadProgress,\n\t\timageLoadShowProgressIndicator,\n\t\timageLoadStatusLabel,\n\t\tisCreatingImagePreview,\n\t\tisLoadingImageData,\n\t\tisStatusActive,\n\t\tisCustomStatus,\n\t\tisStartLoadingImageSource,\n\t\tmissingFeatures,\n\t\thasProps,\n\t\thasLimitedSpace,\n\t\thasSwipeNavigation,\n\t\tisCompact,\n\t\tisTransparent,\n\t\tisCenteredVertically,\n\t\tisCenteredHorizontally,\n\t\tisCentered,\n\t\ttoolbarVerticalPreference,\n\t\tcontrolTabsVerticalpreference,\n\t\tcontrolGroupsVerticalPreference,\n\t\tnavigationVerticalPreference,\n\t\tnavigationHorizontalPreference,\n\t\tverticalSpace,\n\t\thorizontalSpace,\n\t\torientation,\n\t\trootElementComputedStyle,\n\t\trootRectDefined,\n\t\tutilsFiltered,\n\t\tutilsAvailable,\n\t\tgradientOverlays,\n\t\toverlayLeft,\n\t\toverlayBottom,\n\t\toverlayRight,\n\t\toverlayTop,\n\t\toverlayOverlap,\n\t\tOVERLAY_OPACITY_MAX,\n\t\toverlayMin,\n\t\tisOverlayModeEnabled,\n\t\tacceptsAnimations,\n\t\tsupportsAnimations,\n\t\tcanAnimate,\n\t\t$imageSize,\n\t\t$imageFlipY,\n\t\t$imageFlipX,\n\t\t$imageRotation,\n\t\t$stageRect,\n\t\t$rootRect,\n\t\t$isInteracting,\n\t\t$imagePreview,\n\t\t$imageRedaction,\n\t\t$imageRedactionRendering,\n\t\t$imageBackgroundColor,\n\t\t$imageScrambler,\n\t\t$env,\n\t\t$imageProcessingPreparing,\n\t\t$statusOffset,\n\t\t$asideWidth,\n\t\t$statusWidth,\n\t\t$wasProcessingImage,\n\t\t$imageVisualLoadComplete,\n\t\t$imageProcessState,\n\t\t$imageLoadState,\n\t\t$imagePreviewSource,\n\t\t$imageProps,\n\t\t$imagePreviewModifiers,\n\t\t$imageTransforms,\n\t\t$pointerHoverable,\n\t\t$pointerAccuracy,\n\t\t$utilTools,\n\t\t$imageFile,\n\t\t$previewShouldUpscale,\n\t\t$history,\n\t\t$muteAudioStore,\n\t\t$imageOverlayMarkup,\n\t\t$overlayBottomRect,\n\t\t$overlayOpacity,\n\t\t$overlayRightRect,\n\t\t$overlayTopRect,\n\t\t$overlayLeftRect,\n\t\t$stagePadding,\n\t\t$stagePadded,\n\t\t$imageCropRect,\n\t\t$imageStaticBounds,\n\t\t$stageScalar,\n\t\t$imageSelectionPan,\n\t\t$imageSelectionZoom,\n\t\t$prefersReducedMotion,\n\t\t$rootInsetTop,\n\t\t$allowZoomControls,\n\t\t$shapePreprocessor,\n\t\t$images,\n\t\tonwindowresize,\n\t\tmeasure_handler,\n\t\tselect_handler,\n\t\tfunc,\n\t\tutilpanel_component_binding,\n\t\tshow_handler,\n\t\thide_handler,\n\t\tfade_handler,\n\t\tmeasure_handler_1,\n\t\tfunc_1,\n\t\tutilpanel_component_binding_1,\n\t\tshow_handler_1,\n\t\thide_handler_1,\n\t\tfade_handler_1,\n\t\tfunc_2,\n\t\tfunc_3,\n\t\tdiv_binding,\n\t\tcanvaspanandzoom_zoomLevel_binding,\n\t\tcanvaspanandzoom_zoomControls_binding,\n\t\tcanvaspanandzoom_zoomMultiTouching_binding,\n\t\tdiv_binding_1,\n\t\tmeasure_handler_2\n\t];\n}\n\nclass Ui extends SvelteComponent {\n\tconstructor(options) {\n\t\tsuper();\n\n\t\tinit(\n\t\t\tthis,\n\t\t\toptions,\n\t\t\tinstance$x,\n\t\t\tcreate_fragment$x,\n\t\t\tsafe_not_equal,\n\t\t\t{\n\t\t\t\tclass: 215,\n\t\t\t\tlayout: 216,\n\t\t\t\tstores: 217,\n\t\t\t\tlocale: 3,\n\t\t\t\tid: 4,\n\t\t\t\tutil: 218,\n\t\t\t\tutils: 219,\n\t\t\t\tanimations: 220,\n\t\t\t\tdisabled: 221,\n\t\t\t\tstatus: 213,\n\t\t\t\tpreviewUpscale: 222,\n\t\t\t\tpreviewPad: 223,\n\t\t\t\tpreviewMaskOpacity: 5,\n\t\t\t\tpreviewImageDataMaxSize: 224,\n\t\t\t\tpreviewImageTextPixelRatio: 6,\n\t\t\t\tmarkupMaskOpacity: 7,\n\t\t\t\tzoomMaskOpacity: 225,\n\t\t\t\telasticityMultiplier: 8,\n\t\t\t\twillRevert: 226,\n\t\t\t\twillProcessImage: 227,\n\t\t\t\twillRenderCanvas: 9,\n\t\t\t\twillRenderToolbar: 228,\n\t\t\t\twillSetHistoryInitialState: 229,\n\t\t\t\tenableButtonExport: 230,\n\t\t\t\tenableButtonRevert: 231,\n\t\t\t\tenableNavigateHistory: 232,\n\t\t\t\tenableToolbar: 10,\n\t\t\t\tenableUtils: 233,\n\t\t\t\tenableButtonClose: 234,\n\t\t\t\tenableDropImage: 235,\n\t\t\t\tenablePasteImage: 236,\n\t\t\t\tenableBrowseImage: 237,\n\t\t\t\tenableTransparencyGrid: 11,\n\t\t\t\tlayoutDirectionPreference: 238,\n\t\t\t\tlayoutHorizontalUtilsPreference: 239,\n\t\t\t\tlayoutVerticalUtilsPreference: 240,\n\t\t\t\tlayoutVerticalToolbarPreference: 241,\n\t\t\t\tlayoutVerticalControlGroupsPreference: 242,\n\t\t\t\tlayoutVerticalControlTabsPreference: 243,\n\t\t\t\tmarkupEditorZoomLevel: 244,\n\t\t\t\tmarkupEditorZoomLevels: 12,\n\t\t\t\tmarkupEditorZoomAdjustStep: 13,\n\t\t\t\tmarkupEditorZoomAdjustFactor: 14,\n\t\t\t\tmarkupEditorZoomAdjustWheelFactor: 15,\n\t\t\t\tmarkupEditorInteractionMode: 245,\n\t\t\t\tmuteAudio: 246,\n\t\t\t\twillSetMediaInitialTimeOffset: 247,\n\t\t\t\tenablePan: 16,\n\t\t\t\tenableZoom: 17,\n\t\t\t\tenableZoomControls: 248,\n\t\t\t\tenableZoomInput: 18,\n\t\t\t\tenablePanInput: 249,\n\t\t\t\tenableCanvasAlpha: 19,\n\t\t\t\tenablePanLimit: 20,\n\t\t\t\tpanLimitGutterScalar: 21,\n\t\t\t\tzoomPresetOptions: 22,\n\t\t\t\tzoomAdjustStep: 23,\n\t\t\t\tzoomAdjustFactor: 24,\n\t\t\t\tzoomAdjustWheelFactor: 25,\n\t\t\t\tzoomLevel: 0,\n\t\t\t\timagePreviewSrc: 250,\n\t\t\t\timageOrienter: 251,\n\t\t\t\tpluginComponents: 252,\n\t\t\t\tpluginOptions: 26,\n\t\t\t\tsub: 253,\n\t\t\t\tpluginInterface: 1,\n\t\t\t\troot: 2,\n\t\t\t\timageSourceToImageData: 27,\n\t\t\t\timagePreview: 28,\n\t\t\t\timagePreviewCurrent: 214,\n\t\t\t\thistory: 29\n\t\t\t},\n\t\t\tnull,\n\t\t\t[-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1]\n\t\t);\n\t}\n\n\tget class() {\n\t\treturn this.$$.ctx[215];\n\t}\n\n\tset class(klass) {\n\t\tthis.$$set({ class: klass });\n\t\tflush();\n\t}\n\n\tget layout() {\n\t\treturn this.$$.ctx[216];\n\t}\n\n\tset layout(layoutMode) {\n\t\tthis.$$set({ layout: layoutMode });\n\t\tflush();\n\t}\n\n\tget stores() {\n\t\treturn this.$$.ctx[217];\n\t}\n\n\tset stores(stores) {\n\t\tthis.$$set({ stores });\n\t\tflush();\n\t}\n\n\tget locale() {\n\t\treturn this.$$.ctx[3];\n\t}\n\n\tset locale(locale) {\n\t\tthis.$$set({ locale });\n\t\tflush();\n\t}\n\n\tget id() {\n\t\treturn this.$$.ctx[4];\n\t}\n\n\tset id(id) {\n\t\tthis.$$set({ id });\n\t\tflush();\n\t}\n\n\tget util() {\n\t\treturn this.$$.ctx[218];\n\t}\n\n\tset util(util) {\n\t\tthis.$$set({ util });\n\t\tflush();\n\t}\n\n\tget utils() {\n\t\treturn this.$$.ctx[219];\n\t}\n\n\tset utils(utils) {\n\t\tthis.$$set({ utils });\n\t\tflush();\n\t}\n\n\tget animations() {\n\t\treturn this.$$.ctx[220];\n\t}\n\n\tset animations(animations) {\n\t\tthis.$$set({ animations });\n\t\tflush();\n\t}\n\n\tget disabled() {\n\t\treturn this.$$.ctx[221];\n\t}\n\n\tset disabled(disabled) {\n\t\tthis.$$set({ disabled });\n\t\tflush();\n\t}\n\n\tget status() {\n\t\treturn this.$$.ctx[213];\n\t}\n\n\tset status(status) {\n\t\tthis.$$set({ status });\n\t\tflush();\n\t}\n\n\tget previewUpscale() {\n\t\treturn this.$$.ctx[222];\n\t}\n\n\tset previewUpscale(previewUpscale) {\n\t\tthis.$$set({ previewUpscale });\n\t\tflush();\n\t}\n\n\tget previewPad() {\n\t\treturn this.$$.ctx[223];\n\t}\n\n\tset previewPad(previewPad) {\n\t\tthis.$$set({ previewPad });\n\t\tflush();\n\t}\n\n\tget previewMaskOpacity() {\n\t\treturn this.$$.ctx[5];\n\t}\n\n\tset previewMaskOpacity(previewMaskOpacity) {\n\t\tthis.$$set({ previewMaskOpacity });\n\t\tflush();\n\t}\n\n\tget previewImageDataMaxSize() {\n\t\treturn this.$$.ctx[224];\n\t}\n\n\tset previewImageDataMaxSize(previewImageDataMaxSize) {\n\t\tthis.$$set({ previewImageDataMaxSize });\n\t\tflush();\n\t}\n\n\tget previewImageTextPixelRatio() {\n\t\treturn this.$$.ctx[6];\n\t}\n\n\tset previewImageTextPixelRatio(previewImageTextPixelRatio) {\n\t\tthis.$$set({ previewImageTextPixelRatio });\n\t\tflush();\n\t}\n\n\tget markupMaskOpacity() {\n\t\treturn this.$$.ctx[7];\n\t}\n\n\tset markupMaskOpacity(markupMaskOpacity) {\n\t\tthis.$$set({ markupMaskOpacity });\n\t\tflush();\n\t}\n\n\tget zoomMaskOpacity() {\n\t\treturn this.$$.ctx[225];\n\t}\n\n\tset zoomMaskOpacity(zoomMaskOpacity) {\n\t\tthis.$$set({ zoomMaskOpacity });\n\t\tflush();\n\t}\n\n\tget elasticityMultiplier() {\n\t\treturn this.$$.ctx[8];\n\t}\n\n\tset elasticityMultiplier(elasticityMultiplier) {\n\t\tthis.$$set({ elasticityMultiplier });\n\t\tflush();\n\t}\n\n\tget willRevert() {\n\t\treturn this.$$.ctx[226];\n\t}\n\n\tset willRevert(willRevert) {\n\t\tthis.$$set({ willRevert });\n\t\tflush();\n\t}\n\n\tget willProcessImage() {\n\t\treturn this.$$.ctx[227];\n\t}\n\n\tset willProcessImage(willProcessImage) {\n\t\tthis.$$set({ willProcessImage });\n\t\tflush();\n\t}\n\n\tget willRenderCanvas() {\n\t\treturn this.$$.ctx[9];\n\t}\n\n\tset willRenderCanvas(willRenderCanvas) {\n\t\tthis.$$set({ willRenderCanvas });\n\t\tflush();\n\t}\n\n\tget willRenderToolbar() {\n\t\treturn this.$$.ctx[228];\n\t}\n\n\tset willRenderToolbar(willRenderToolbar) {\n\t\tthis.$$set({ willRenderToolbar });\n\t\tflush();\n\t}\n\n\tget willSetHistoryInitialState() {\n\t\treturn this.$$.ctx[229];\n\t}\n\n\tset willSetHistoryInitialState(willSetHistoryInitialState) {\n\t\tthis.$$set({ willSetHistoryInitialState });\n\t\tflush();\n\t}\n\n\tget enableButtonExport() {\n\t\treturn this.$$.ctx[230];\n\t}\n\n\tset enableButtonExport(enableButtonExport) {\n\t\tthis.$$set({ enableButtonExport });\n\t\tflush();\n\t}\n\n\tget enableButtonRevert() {\n\t\treturn this.$$.ctx[231];\n\t}\n\n\tset enableButtonRevert(enableButtonRevert) {\n\t\tthis.$$set({ enableButtonRevert });\n\t\tflush();\n\t}\n\n\tget enableNavigateHistory() {\n\t\treturn this.$$.ctx[232];\n\t}\n\n\tset enableNavigateHistory(enableNavigateHistory) {\n\t\tthis.$$set({ enableNavigateHistory });\n\t\tflush();\n\t}\n\n\tget enableToolbar() {\n\t\treturn this.$$.ctx[10];\n\t}\n\n\tset enableToolbar(enableToolbar) {\n\t\tthis.$$set({ enableToolbar });\n\t\tflush();\n\t}\n\n\tget enableUtils() {\n\t\treturn this.$$.ctx[233];\n\t}\n\n\tset enableUtils(enableUtils) {\n\t\tthis.$$set({ enableUtils });\n\t\tflush();\n\t}\n\n\tget enableButtonClose() {\n\t\treturn this.$$.ctx[234];\n\t}\n\n\tset enableButtonClose(enableButtonClose) {\n\t\tthis.$$set({ enableButtonClose });\n\t\tflush();\n\t}\n\n\tget enableDropImage() {\n\t\treturn this.$$.ctx[235];\n\t}\n\n\tset enableDropImage(enableDropImage) {\n\t\tthis.$$set({ enableDropImage });\n\t\tflush();\n\t}\n\n\tget enablePasteImage() {\n\t\treturn this.$$.ctx[236];\n\t}\n\n\tset enablePasteImage(enablePasteImage) {\n\t\tthis.$$set({ enablePasteImage });\n\t\tflush();\n\t}\n\n\tget enableBrowseImage() {\n\t\treturn this.$$.ctx[237];\n\t}\n\n\tset enableBrowseImage(enableBrowseImage) {\n\t\tthis.$$set({ enableBrowseImage });\n\t\tflush();\n\t}\n\n\tget enableTransparencyGrid() {\n\t\treturn this.$$.ctx[11];\n\t}\n\n\tset enableTransparencyGrid(enableTransparencyGrid) {\n\t\tthis.$$set({ enableTransparencyGrid });\n\t\tflush();\n\t}\n\n\tget layoutDirectionPreference() {\n\t\treturn this.$$.ctx[238];\n\t}\n\n\tset layoutDirectionPreference(layoutDirectionPreference) {\n\t\tthis.$$set({ layoutDirectionPreference });\n\t\tflush();\n\t}\n\n\tget layoutHorizontalUtilsPreference() {\n\t\treturn this.$$.ctx[239];\n\t}\n\n\tset layoutHorizontalUtilsPreference(layoutHorizontalUtilsPreference) {\n\t\tthis.$$set({ layoutHorizontalUtilsPreference });\n\t\tflush();\n\t}\n\n\tget layoutVerticalUtilsPreference() {\n\t\treturn this.$$.ctx[240];\n\t}\n\n\tset layoutVerticalUtilsPreference(layoutVerticalUtilsPreference) {\n\t\tthis.$$set({ layoutVerticalUtilsPreference });\n\t\tflush();\n\t}\n\n\tget layoutVerticalToolbarPreference() {\n\t\treturn this.$$.ctx[241];\n\t}\n\n\tset layoutVerticalToolbarPreference(layoutVerticalToolbarPreference) {\n\t\tthis.$$set({ layoutVerticalToolbarPreference });\n\t\tflush();\n\t}\n\n\tget layoutVerticalControlGroupsPreference() {\n\t\treturn this.$$.ctx[242];\n\t}\n\n\tset layoutVerticalControlGroupsPreference(layoutVerticalControlGroupsPreference) {\n\t\tthis.$$set({ layoutVerticalControlGroupsPreference });\n\t\tflush();\n\t}\n\n\tget layoutVerticalControlTabsPreference() {\n\t\treturn this.$$.ctx[243];\n\t}\n\n\tset layoutVerticalControlTabsPreference(layoutVerticalControlTabsPreference) {\n\t\tthis.$$set({ layoutVerticalControlTabsPreference });\n\t\tflush();\n\t}\n\n\tget markupEditorZoomLevel() {\n\t\treturn this.$$.ctx[244];\n\t}\n\n\tset markupEditorZoomLevel(markupEditorZoomLevel) {\n\t\tthis.$$set({ markupEditorZoomLevel });\n\t\tflush();\n\t}\n\n\tget markupEditorZoomLevels() {\n\t\treturn this.$$.ctx[12];\n\t}\n\n\tset markupEditorZoomLevels(markupEditorZoomLevels) {\n\t\tthis.$$set({ markupEditorZoomLevels });\n\t\tflush();\n\t}\n\n\tget markupEditorZoomAdjustStep() {\n\t\treturn this.$$.ctx[13];\n\t}\n\n\tset markupEditorZoomAdjustStep(markupEditorZoomAdjustStep) {\n\t\tthis.$$set({ markupEditorZoomAdjustStep });\n\t\tflush();\n\t}\n\n\tget markupEditorZoomAdjustFactor() {\n\t\treturn this.$$.ctx[14];\n\t}\n\n\tset markupEditorZoomAdjustFactor(markupEditorZoomAdjustFactor) {\n\t\tthis.$$set({ markupEditorZoomAdjustFactor });\n\t\tflush();\n\t}\n\n\tget markupEditorZoomAdjustWheelFactor() {\n\t\treturn this.$$.ctx[15];\n\t}\n\n\tset markupEditorZoomAdjustWheelFactor(markupEditorZoomAdjustWheelFactor) {\n\t\tthis.$$set({ markupEditorZoomAdjustWheelFactor });\n\t\tflush();\n\t}\n\n\tget markupEditorInteractionMode() {\n\t\treturn this.$$.ctx[245];\n\t}\n\n\tset markupEditorInteractionMode(markupEditorInteractionMode) {\n\t\tthis.$$set({ markupEditorInteractionMode });\n\t\tflush();\n\t}\n\n\tget muteAudio() {\n\t\treturn this.$$.ctx[246];\n\t}\n\n\tset muteAudio(muteAudio) {\n\t\tthis.$$set({ muteAudio });\n\t\tflush();\n\t}\n\n\tget willSetMediaInitialTimeOffset() {\n\t\treturn this.$$.ctx[247];\n\t}\n\n\tset willSetMediaInitialTimeOffset(willSetMediaInitialTimeOffset) {\n\t\tthis.$$set({ willSetMediaInitialTimeOffset });\n\t\tflush();\n\t}\n\n\tget enablePan() {\n\t\treturn this.$$.ctx[16];\n\t}\n\n\tset enablePan(enablePan) {\n\t\tthis.$$set({ enablePan });\n\t\tflush();\n\t}\n\n\tget enableZoom() {\n\t\treturn this.$$.ctx[17];\n\t}\n\n\tset enableZoom(enableZoom) {\n\t\tthis.$$set({ enableZoom });\n\t\tflush();\n\t}\n\n\tget enableZoomControls() {\n\t\treturn this.$$.ctx[248];\n\t}\n\n\tset enableZoomControls(enableZoomControls) {\n\t\tthis.$$set({ enableZoomControls });\n\t\tflush();\n\t}\n\n\tget enableZoomInput() {\n\t\treturn this.$$.ctx[18];\n\t}\n\n\tset enableZoomInput(enableZoomInput) {\n\t\tthis.$$set({ enableZoomInput });\n\t\tflush();\n\t}\n\n\tget enablePanInput() {\n\t\treturn this.$$.ctx[249];\n\t}\n\n\tset enablePanInput(enablePanInput) {\n\t\tthis.$$set({ enablePanInput });\n\t\tflush();\n\t}\n\n\tget enableCanvasAlpha() {\n\t\treturn this.$$.ctx[19];\n\t}\n\n\tset enableCanvasAlpha(enableCanvasAlpha) {\n\t\tthis.$$set({ enableCanvasAlpha });\n\t\tflush();\n\t}\n\n\tget enablePanLimit() {\n\t\treturn this.$$.ctx[20];\n\t}\n\n\tset enablePanLimit(enablePanLimit) {\n\t\tthis.$$set({ enablePanLimit });\n\t\tflush();\n\t}\n\n\tget panLimitGutterScalar() {\n\t\treturn this.$$.ctx[21];\n\t}\n\n\tset panLimitGutterScalar(panLimitGutterScalar) {\n\t\tthis.$$set({ panLimitGutterScalar });\n\t\tflush();\n\t}\n\n\tget zoomPresetOptions() {\n\t\treturn this.$$.ctx[22];\n\t}\n\n\tset zoomPresetOptions(zoomPresetOptions) {\n\t\tthis.$$set({ zoomPresetOptions });\n\t\tflush();\n\t}\n\n\tget zoomAdjustStep() {\n\t\treturn this.$$.ctx[23];\n\t}\n\n\tset zoomAdjustStep(zoomAdjustStep) {\n\t\tthis.$$set({ zoomAdjustStep });\n\t\tflush();\n\t}\n\n\tget zoomAdjustFactor() {\n\t\treturn this.$$.ctx[24];\n\t}\n\n\tset zoomAdjustFactor(zoomAdjustFactor) {\n\t\tthis.$$set({ zoomAdjustFactor });\n\t\tflush();\n\t}\n\n\tget zoomAdjustWheelFactor() {\n\t\treturn this.$$.ctx[25];\n\t}\n\n\tset zoomAdjustWheelFactor(zoomAdjustWheelFactor) {\n\t\tthis.$$set({ zoomAdjustWheelFactor });\n\t\tflush();\n\t}\n\n\tget zoomLevel() {\n\t\treturn this.$$.ctx[0];\n\t}\n\n\tset zoomLevel(zoomLevel) {\n\t\tthis.$$set({ zoomLevel });\n\t\tflush();\n\t}\n\n\tget imagePreviewSrc() {\n\t\treturn this.$$.ctx[250];\n\t}\n\n\tset imagePreviewSrc(imagePreviewSrc) {\n\t\tthis.$$set({ imagePreviewSrc });\n\t\tflush();\n\t}\n\n\tget imageOrienter() {\n\t\treturn this.$$.ctx[251];\n\t}\n\n\tset imageOrienter(imageOrienter) {\n\t\tthis.$$set({ imageOrienter });\n\t\tflush();\n\t}\n\n\tget pluginComponents() {\n\t\treturn this.$$.ctx[252];\n\t}\n\n\tset pluginComponents(pluginComponents) {\n\t\tthis.$$set({ pluginComponents });\n\t\tflush();\n\t}\n\n\tget pluginOptions() {\n\t\treturn this.$$.ctx[26];\n\t}\n\n\tset pluginOptions(pluginOptions) {\n\t\tthis.$$set({ pluginOptions });\n\t\tflush();\n\t}\n\n\tget sub() {\n\t\treturn this.$$.ctx[253];\n\t}\n\n\tget pluginInterface() {\n\t\treturn this.$$.ctx[1];\n\t}\n\n\tget root() {\n\t\treturn this.$$.ctx[2];\n\t}\n\n\tset root(root) {\n\t\tthis.$$set({ root });\n\t\tflush();\n\t}\n\n\tget imageSourceToImageData() {\n\t\treturn this.$$.ctx[27];\n\t}\n\n\tset imageSourceToImageData(imageSourceToImageData) {\n\t\tthis.$$set({ imageSourceToImageData });\n\t\tflush();\n\t}\n\n\tget imagePreview() {\n\t\treturn this.$$.ctx[28];\n\t}\n\n\tget imagePreviewCurrent() {\n\t\treturn this.$$.ctx[214];\n\t}\n\n\tset imagePreviewCurrent(imagePreviewCurrent) {\n\t\tthis.$$set({ imagePreviewCurrent });\n\t\tflush();\n\t}\n\n\tget history() {\n\t\treturn this.$$.ctx[29];\n\t}\n}\n\n// which props to filter out of exported props\nconst utilPrivateProps = ['klass', 'stores', 'isVisible', 'isActive', 'isActiveFraction', 'locale'];\nconst viewPrivateProps = [\n    // methods\n    'history',\n    // props\n    'klass',\n    'stores',\n    'navButtons',\n    'pluginComponents',\n    'pluginInterface',\n    'pluginOptions',\n    'sub',\n    'imagePreviewSrc',\n    'imagePreview',\n    'imagePreviewCurrent',\n];\n// properties that should be merged with current value if set\nconst mergeProps = ['locale'];\n// view options array\nlet editorProps;\nconst pluginProps = new Set([]);\nconst propPluginRef = {};\n// loops over plugins and registers all available options so we can define getters/setters\nconst pluginComponents = new Map();\nconst setEditorViewPlugins = (...args) => {\n    args\n        // remove invalid plugins\n        .filter((plugin) => !!plugin.util)\n        // register valid plugins\n        .forEach((plugin) => {\n        const [id, Component, isSupported = () => true] = plugin.util;\n        // already set\n        if (pluginComponents.has(id))\n            return;\n        // store\n        pluginComponents.set(id, { Component, isSupported });\n        // get props\n        getComponentExportedProps(Component)\n            .filter((prop) => !utilPrivateProps.includes(prop))\n            .forEach((prop) => {\n            pluginProps.add(prop);\n            if (propPluginRef[prop]) {\n                propPluginRef[prop].push(id);\n                return;\n            }\n            propPluginRef[prop] = [id];\n        });\n    });\n};\nconst getEditorViewProps = () => {\n    editorProps = new Set(getComponentExportedProps(Ui).filter((prop) => !viewPrivateProps.includes(prop)));\n    return [...editorProps, ...pluginProps];\n};\nconst attachEditorView = (target, stores) => {\n    const accessors = {};\n    // creates the editor component instance\n    const editor = new Ui({\n        target,\n        props: {\n            stores,\n            pluginComponents: Array.from(pluginComponents),\n        },\n    });\n    // destroys the editor component instance\n    let isDestroyed = false;\n    const destroy = () => {\n        if (isDestroyed)\n            return;\n        if (isBrowser())\n            window.removeEventListener('pagehide', destroy);\n        if (!editor)\n            return;\n        isDestroyed = true;\n        editor.$destroy();\n    };\n    // set up accessors for editor props\n    if (!editorProps)\n        editorProps = new Set(getComponentExportedProps(Ui).filter((prop) => !viewPrivateProps.includes(prop)));\n    editorProps.forEach((prop) => {\n        Object.defineProperty(accessors, prop, {\n            get: () => editor[prop],\n            set: mergeProps.includes(prop)\n                ? // merge new value with existing value\n                    (value) => {\n                        editor[prop] = {\n                            ...editor[prop],\n                            ...value,\n                        };\n                    }\n                : // overwrite current value\n                    (value) => (editor[prop] = value),\n        });\n    });\n    // this reads the imagePreview store so third parties can interact with image data\n    Object.defineProperty(accessors, 'previewImageData', {\n        get: () => editor.imagePreviewCurrent,\n    });\n    // set up accessors for plugin props\n    pluginProps.forEach((prop) => {\n        const plugins = propPluginRef[prop];\n        const plugin = plugins[0]; // will always get value from first plugin, when plugins share a property the value will be in sync when set\n        Object.defineProperty(accessors, prop, {\n            get: () => editor.pluginInterface[plugin][prop],\n            set: (value) => {\n                const opts = plugins.reduce((prev, plugin) => {\n                    prev[plugin] = {\n                        ...editor.pluginOptions[plugin],\n                        [prop]: value,\n                    };\n                    return prev;\n                }, {});\n                editor.pluginOptions = {\n                    ...editor.pluginOptions,\n                    ...opts,\n                };\n            },\n        });\n    });\n    // add `element` root query\n    Object.defineProperty(accessors, 'element', {\n        get: () => editor.root,\n        set: () => undefined,\n    });\n    // history shortcut\n    const history = editor.history;\n    defineMethods(accessors, {\n        on: (event, cb) => {\n            // exit if editor was destroyed, will return stub function so unsubs can be called without issues\n            if (isDestroyed)\n                return () => {\n                    // Do nothing\n                };\n            // catch history events and route to history object\n            if (/undo|redo|revert|writehistory/.test(event))\n                return history.on(event, cb);\n            // gather unsub methods\n            const unsubs = [\n                editor.sub(event, cb),\n                editor.$on(event, (e) => cb(e instanceof CustomEvent && !e.detail ? undefined : e)),\n            ].filter(Boolean);\n            // set up unsubscribe group\n            return () => unsubs.forEach((unsub) => unsub());\n        },\n        updateImagePreview: (src) => {\n            editor.imagePreviewSrc = src;\n        },\n        close: () => !isDestroyed && editor.pub('close'),\n        destroy,\n    });\n    Object.defineProperty(accessors, 'history', {\n        get: () => ({\n            undo: () => history.undo(),\n            redo: () => history.redo(),\n            revert: () => history.revert(),\n            get: () => history.get(),\n            getCollapsed: () => {\n                const entries = history.get();\n                return entries.splice(0, history.index + 1);\n            },\n            set: (entries) => history.set(entries),\n            write: (state) => history.write(state),\n            get length() {\n                return history.length();\n            },\n            get index() {\n                return history.index;\n            },\n            set index(index) {\n                history.index = index;\n            },\n        }),\n    });\n    // clean up on window unload\n    if (isBrowser())\n        window.addEventListener('pagehide', destroy);\n    return accessors;\n};\n\nvar editorEvents = [\n    // core editor events that should be re-dispatched\n    ...editorEventsToBubble,\n    // ui editor events\n    'init',\n    'update',\n    'undo',\n    'redo',\n    'revert',\n    'writehistory',\n    'destroy',\n    'show',\n    'hide',\n    'close',\n    'ready',\n    'zoom',\n    'pan',\n    'loadpreview',\n    'selectshape',\n    'updateshape',\n    'addshape',\n    'removeshape',\n    'selectstyle',\n    'markuptap',\n    'markupzoom',\n    'markuppan',\n    'selectutil',\n    'selectcontrol',\n];\n\nconst dispatchElementEvent = (target, event, detail) => target.dispatchEvent(new CustomEvent(event, { detail, bubbles: true, cancelable: true }));\nvar dispatchEditorEvents = (editor, handler, options = {}) => {\n    const { prefix = 'pintura:' } = options;\n    return editorEvents.map((event) => editor.on(event, (value) => isElement(handler)\n        ? dispatchElementEvent(handler, `${prefix}${event}`, value)\n        : handler(event, value)));\n};\n\nvar naturalAspectRatioToNumber = (value) => {\n    // already valid value\n    if (value === undefined || isNumber(value))\n        return value;\n    // invalid\n    if (!isString(value))\n        return false;\n    // convert string to aspect ratio fraction\n    const str = value;\n    // we interpret empty string as undefined\n    if (!str.length)\n        return undefined;\n    // get numbers\n    const [w, h] = str\n        .split(/\\/|:/g)\n        .map((value) => parseFloat(value.replace(/,/, '.')))\n        .filter(Boolean);\n    // invalid\n    if (!w)\n        return false;\n    // single value received\n    if (!h)\n        return w;\n    // lets convert to fraction\n    return Math.abs(w / h);\n};\n\nvar arrayInsert = (array, index, item) => {\n    array.splice(index, 0, item);\n    return array;\n};\n\n// first index is always id, so if is string, it's a node\nconst isNode = (item) => isString(item[0]);\n// if it's not a node, it's a nodelist\nconst isNodeList = (item) => !isNode(item);\nconst getNodeId = (node) => node[1];\nconst getNodeChildren = (node) => node[3] || [];\nfunction createNode(instance, id, props, children) {\n    // if three arguments received, props can be children\n    if (Array.isArray(props)) {\n        children = props;\n        props = {};\n    }\n    // node is always array of four entries\n    return [instance, id, props || {}, children || []];\n}\nconst insertNode = (node, needle, haystack, getIndex = (index) => index) => {\n    const nodeList = findNodeList(needle, haystack);\n    const targetIndex = nodeList.findIndex((item) => getNodeId(item) === needle);\n    arrayInsert(nodeList, getIndex(targetIndex), node);\n};\nconst insertNodeBefore = (node, needle, haystack) => insertNode(node, needle, haystack);\nconst insertNodeAfter = (node, needle, haystack) => insertNode(node, needle, haystack, (index) => index + 1);\nconst appendNode = (node, haystack) => {\n    // if is list, add to list\n    if (isNodeList(haystack))\n        return haystack.push(node);\n    // else it's a node, add to node children\n    haystack[3] = [...getNodeChildren(haystack), node];\n};\nconst removeNode = (needle, haystack) => {\n    const nodeList = findNodeList(needle, haystack);\n    arrayRemove(nodeList, (item) => getNodeId(item) === needle);\n    return nodeList;\n};\nconst findNode = (needle, haystack) => {\n    if (!haystack || !haystack.length)\n        return;\n    // haystack is a node, maybe node is a match or one of children is a match\n    if (isNode(haystack)) {\n        if (getNodeId(haystack) === needle) {\n            return haystack;\n        }\n        const res = findNode(needle, getNodeChildren(haystack));\n        if (res)\n            return res;\n    }\n    if (isNodeList(haystack)) {\n        for (const child of haystack) {\n            const res = findNode(needle, child);\n            if (res)\n                return res;\n        }\n    }\n};\nconst findNodeList = (needle, haystack) => {\n    // haystack is node list\n    if (isNodeList(haystack)) {\n        // lets search nodes in this haystack\n        if (haystack.find((item) => getNodeId(item) === needle))\n            return haystack;\n        // not found, lets move the search to the childnodes\n        return haystack.find((item) => findNodeList(needle, getNodeChildren(item)));\n    }\n    // is node, lets find in children\n    return findNodeList(needle, getNodeChildren(haystack));\n};\nconst updateNode = (node, props) => {\n    const [, , nodeProps] = node;\n    Object.assign(nodeProps, props);\n};\n\nconst pastel = () => \n// prettier-ignore\n[\n    0.75, 0.25, 0.25, 0, 0,\n    0.25, 0.75, 0.25, 0, 0,\n    0.25, 0.25, 0.75, 0, 0,\n    0, 0, 0, 1, 0\n];\nconst chrome = () => \n// prettier-ignore\n[\n    1.398, -0.316, 0.065, -0.273, 0.201,\n    -0.051, 1.278, -0.080, -0.273, 0.201,\n    -0.051, 0.119, 1.151, -0.290, 0.215,\n    0, 0, 0, 1, 0\n];\nconst fade = () => \n// prettier-ignore\n[\n    1.073, -0.015, 0.092, -0.115, -0.017,\n    0.107, 0.859, 0.184, -0.115, -0.017,\n    0.015, 0.077, 1.104, -0.115, -0.017,\n    0, 0, 0, 1, 0\n];\nconst warm = () => \n// prettier-ignore\n[\n    1.06, 0, 0, 0, 0,\n    0, 1.01, 0, 0, 0,\n    0, 0, 0.93, 0, 0,\n    0, 0, 0, 1, 0,\n];\nconst cold = () => \n// prettier-ignore\n[\n    1.1, 0, 0, 0, -.1,\n    0, 1.1, 0, 0, -.1,\n    0, 0, 1.2, 0, -.1,\n    0, 0, 0, 1, 0,\n];\nconst invert = () => \n// prettier-ignore\n[\n    -1, 0, 0, 1, 0,\n    0, -1, 0, 1, 0,\n    0, 0, -1, 1, 0,\n    0, 0, 0, 1, 0,\n];\nconst monoDefault = () => \n// prettier-ignore\n[\n    0.212, 0.715, 0.114, 0, 0,\n    0.212, 0.715, 0.114, 0, 0,\n    0.212, 0.715, 0.114, 0, 0,\n    0, 0, 0, 1, 0\n];\nconst monoNoir = () => \n// prettier-ignore\n[\n    0.15, 1.3, -0.25, 0.1, -0.2,\n    0.15, 1.3, -0.25, 0.1, -0.2,\n    0.15, 1.3, -0.25, 0.1, -0.2,\n    0, 0, 0, 1, 0\n];\nconst monoWash = () => \n// prettier-ignore\n[\n    0.163, 0.518, 0.084, -0.010, 0.208,\n    0.163, 0.529, 0.082, -0.020, 0.210,\n    0.171, 0.529, 0.084, 0.000, 0.214,\n    0, 0, 0, 1, 0\n];\nconst monoStark = () => \n// prettier-ignore\n[\n    0.338, 0.991, 0.117, 0.093, -0.196,\n    0.302, 1.049, 0.096, 0.078, -0.196,\n    0.286, 1.016, 0.146, 0.101, -0.196,\n    0, 0, 0, 1, 0\n];\nconst sepiaDefault = () => \n// prettier-ignore\n[\n    0.393, 0.768, 0.188, 0, 0,\n    0.349, 0.685, 0.167, 0, 0,\n    0.272, 0.533, 0.130, 0, 0,\n    0, 0, 0, 1, 0,\n];\nconst sepiaBlues = () => \n// prettier-ignore\n[\n    0.289, 0.620, 0.185, 0.000, 0.077,\n    0.257, 0.566, 0.163, 0.000, 0.115,\n    0.200, 0.430, 0.128, 0.000, 0.188,\n    0, 0, 0, 1, 0\n];\nconst sepiaRust = () => \n// prettier-ignore\n[\n    0.269, 0.764, 0.172, 0.050, 0.100,\n    0.239, 0.527, 0.152, 0.000, 0.176,\n    0.186, 0.400, 0.119, 0.000, 0.159,\n    0, 0, 0, 1, 0\n];\nconst sepiaColor = () => \n// prettier-ignore\n[\n    0.547, 0.764, 0.134, 0.000, -0.147,\n    0.281, 0.925, 0.120, 0.000, -0.135,\n    0.225, 0.558, 0.330, 0.000, -0.113,\n    0, 0, 0, 1, 0\n];\n//\n// default filter set\n//\nconst filterFunctionsDefault = {\n    chrome,\n    fade,\n    pastel,\n    cold,\n    warm,\n    monoDefault,\n    monoWash,\n    monoNoir,\n    monoStark,\n    sepiaDefault,\n    sepiaRust,\n    sepiaBlues,\n    sepiaColor,\n};\nconst filterOptionsDefault = [\n    ['Default', [[undefined, (locale) => locale.labelDefault]]],\n    [\n        'Classic',\n        [\n            ['chrome', (locale) => locale.filterLabelChrome],\n            ['fade', (locale) => locale.filterLabelFade],\n            ['cold', (locale) => locale.filterLabelCold],\n            ['warm', (locale) => locale.filterLabelWarm],\n            ['pastel', (locale) => locale.filterLabelPastel],\n        ],\n    ],\n    [\n        'Monochrome',\n        [\n            ['monoDefault', (locale) => locale.filterLabelMonoDefault],\n            ['monoNoir', (locale) => locale.filterLabelMonoNoir],\n            ['monoStark', (locale) => locale.filterLabelMonoStark],\n            ['monoWash', (locale) => locale.filterLabelMonoWash],\n        ],\n    ],\n    [\n        'Sepia',\n        [\n            ['sepiaDefault', (locale) => locale.filterLabelSepiaDefault],\n            ['sepiaRust', (locale) => locale.filterLabelSepiaRust],\n            ['sepiaBlues', (locale) => locale.filterLabelSepiaBlues],\n            ['sepiaColor', (locale) => locale.filterLabelSepiaColor],\n        ],\n    ],\n];\nvar _plugin_filter_defaults = {\n    filterFunctions: filterFunctionsDefault,\n    filterOptions: filterOptionsDefault,\n};\n\n//#region markup\nconst propertyMap = {\n    borderColor: 'strokeColor',\n    borderWidth: 'strokeWidth',\n    lineWidth: 'strokeWidth',\n    fontColor: 'color',\n    lineColor: 'strokeColor',\n    src: 'backgroundImage',\n    fit: 'backgroundSize',\n};\nconst convertValue = (value) => {\n    if (value === 0)\n        return 0;\n    if (value === '0%')\n        return 0;\n    if (value === '0px')\n        return 0;\n    if (/px$/.test(value))\n        return parseInt(value, 10);\n    if (/\\%$/.test(value))\n        return value;\n    if (value <= 1)\n        return `${value * 100}%`;\n};\nconst addValues = (a, b) => {\n    let _a, _b;\n    if (/%$/.test(a)) {\n        _a = parseFloat(a);\n        _b = parseFloat(b);\n        return `${_a + _b}%`;\n    }\n    if (/px$/.test(a)) {\n        _a = parseInt(a, 10);\n        _b = parseInt(b, 10);\n        return `${_a + _b}px`;\n    }\n};\nconst shapeFromLegacyMarkup = (crop, type, style) => {\n    const shape = Object.keys(style).reduce((res, prop) => {\n        let value = style[prop];\n        // rename prop\n        prop = propertyMap[prop] || prop;\n        // if is px value\n        if (/px$/.test(value)) {\n            value = convertValue(value);\n        }\n        // if is number convert to percentage\n        else if (/^(?:x|y|left|right|top|bottom|width|height|fontSize|borderWidth|strokeWidth)$/.test(prop) &&\n            typeof value === 'number') {\n            // except for widths and font sizes, change to those to absolute values\n            if (prop === 'strokeWidth' || prop === 'borderWidth' || prop === 'fontSize') {\n                const minAxis = Math.min(crop.width, crop.height);\n                value = `${minAxis * value}px`;\n            }\n            value = convertValue(value);\n        }\n        // if is color value\n        if (/color/i.test(prop) && value)\n            value = colorStringToColorArray(value);\n        if (value === null)\n            value = undefined;\n        res[prop] = value;\n        return res;\n    }, {});\n    if (type === 'line') {\n        if (shape.lineDecoration.length >= 1)\n            shape.lineEnd = 'arrow';\n        if (shape.lineDecoration.length === 2)\n            shape.lineStart = 'arrow';\n        shape.x1 = shape.x;\n        shape.y1 = shape.y;\n        shape.x2 = addValues(shape.x, shape.width);\n        shape.y2 = addValues(shape.y, shape.height);\n        delete shape.x;\n        delete shape.y;\n        delete shape.width;\n        delete shape.height;\n        delete shape.lineDecoration;\n        delete shape.lineStyle;\n    }\n    if (type === 'text') {\n        // need y to be absolute to calculate correct sizes\n        if (!isNumber(shape.y)) {\n            const minAxis = Math.min(crop.width, crop.height);\n            shape.y = minAxis * (parseFloat(shape.y) / 100);\n        }\n        shape.y = shape.y - shape.fontSize;\n        delete shape.width;\n        delete shape.height;\n        delete shape.borderStyle;\n        shape.lineHeight = shape.lineHeight || '120%';\n    }\n    if (type === 'ellipse') {\n        let w, h;\n        // calculate `rx` and `ry` based on `width` and `h`eight`\n        if (/%$/.test(shape.width)) {\n            w = parseFloat(shape.width) / 100;\n            h = parseFloat(shape.height) / 100;\n            const widthAbsolute = w * crop.width;\n            const heightAbsolute = h * crop.height;\n            w = (widthAbsolute / crop.width) * 100;\n            h = (heightAbsolute / crop.height) * 100;\n        }\n        else {\n            w = shape.width;\n            h = shape.height;\n        }\n        shape.rx = w * 0.5;\n        shape.ry = h * 0.5;\n        if (/%$/.test(shape.width)) {\n            shape.rx += '%';\n            shape.ry += '%';\n        }\n        shape.x = addValues(shape.x, shape.rx);\n        shape.y = addValues(shape.y, shape.ry);\n        delete shape.width;\n        delete shape.height;\n        delete shape.borderStyle;\n    }\n    if (type === 'rect') {\n        delete shape.borderStyle;\n    }\n    if (type === 'path') {\n        // remove points that are too close\n        let out = [];\n        let lastAdded;\n        for (const point of shape.points) {\n            // always add first\n            if (!lastAdded) {\n                out.push(point);\n                lastAdded = point;\n                continue;\n            }\n            // if too far, skip\n            const dist = vectorDistanceSquared(lastAdded, point);\n            if (dist < 0.000000001)\n                continue;\n            // add!\n            out.push(point);\n            lastAdded = point;\n            // set new last point\n            lastAdded = point;\n        }\n        //\n        shape.points = out.map((point) => {\n            return {\n                x: convertValue(point.x),\n                y: convertValue(point.y),\n            };\n        });\n    }\n    return shape;\n};\n//#endregion\n//#region crop\nconst getOffsetPointOnEdge = (length, rotation) => {\n    const a = length;\n    const A = 1.5707963267948966;\n    const B = rotation;\n    const C = 1.5707963267948966 - rotation;\n    const sinA = Math.sin(A);\n    const sinB = Math.sin(B);\n    const sinC = Math.sin(C);\n    const cosC = Math.cos(C);\n    const ratio = a / sinA;\n    const b = ratio * sinB;\n    const c = ratio * sinC;\n    return vectorCreate(cosC * b, cosC * c);\n};\nconst getRotatedRectSize = (rect, rotation) => {\n    const w = rect.width;\n    const h = rect.height;\n    const hor = getOffsetPointOnEdge(w, rotation);\n    const ver = getOffsetPointOnEdge(h, rotation);\n    const tl = vectorCreate(rect.x + Math.abs(hor.x), rect.y - Math.abs(hor.y));\n    const tr = vectorCreate(rect.x + rect.width + Math.abs(ver.y), rect.y + Math.abs(ver.x));\n    const bl = vectorCreate(rect.x - Math.abs(ver.y), rect.y + rect.height - Math.abs(ver.x));\n    return {\n        width: vectorDistance(tl, tr),\n        height: vectorDistance(tl, bl),\n    };\n};\nconst getBoundsAroundCenter = (imageSize, center) => {\n    const cx = center.x > 0.5 ? 1 - center.x : center.x;\n    const cy = center.y > 0.5 ? 1 - center.y : center.y;\n    return sizeCreate(cx * 2 * imageSize.width, cy * 2 * imageSize.height);\n};\nconst getCanvasSize = (imageSize, canvasAspectRatio, zoom = 1) => {\n    const imageAspectRatio = imageSize.height / imageSize.width;\n    // determine actual pixels on x and y axis\n    const canvasWidth = 1;\n    const canvasHeight = canvasAspectRatio;\n    let imgWidth = 1;\n    let imgHeight = imageAspectRatio;\n    if (imgHeight > canvasHeight) {\n        imgHeight = canvasHeight;\n        imgWidth = imgHeight / imageAspectRatio;\n    }\n    const scalar = Math.max(canvasWidth / imgWidth, canvasHeight / imgHeight);\n    const width = imageSize.width / (zoom * scalar * imgWidth);\n    const height = width * canvasAspectRatio;\n    return {\n        width: width,\n        height: height,\n    };\n};\nconst getCenteredCropRect = (imageSize, aspectRatio) => {\n    let width = imageSize.width;\n    let height = width * aspectRatio;\n    if (height > imageSize.height) {\n        height = imageSize.height;\n        width = height / aspectRatio;\n    }\n    const x = (imageSize.width - width) * 0.5;\n    const y = (imageSize.height - height) * 0.5;\n    return rectCreate(x, y, width, height);\n};\nconst getCorrectedLegacyAspectRatio = (imageSize, aspectRatio) => aspectRatio != null\n    ? // fix the aspect ratio\n        1 / aspectRatio\n    : // set image aspect ratio\n        imageSize.width / imageSize.height;\nconst imagePropertiesFromLegacyCrop = (imageSize, { flip, aspectRatio, rotation, center, zoom, scaleToFit }) => {\n    const res = {\n        flipX: false,\n        flipY: false,\n    };\n    // is centered crop\n    const isCenteredCrop = !center || (center && center.x === 0.5 && center.y === 0.5);\n    // handle basic props\n    if (flip && flip.horizontal)\n        res.flipX = flip.horizontal;\n    if (flip && flip.vertical)\n        res.flipY = flip.vertical;\n    // fix aspect ratio, in FilePond and editor v6 it's height/width instead of width/height\n    const correctedAspectRatio = getCorrectedLegacyAspectRatio(imageSize, aspectRatio);\n    // image bounds\n    const cropLimit = !(scaleToFit === false);\n    const canvasSize = getCanvasSize(imageSize, aspectRatio, zoom);\n    const cropSize = isCenteredCrop\n        ? imageSize\n        : getBoundsAroundCenter(imageSize, cropLimit ? center : { x: 0.5, y: 0.5 });\n    const cropCentered = getCenteredCropRect(imageSize, aspectRatio);\n    // has different aspect ratio than image\n    if (aspectRatio || !isCenteredCrop || zoom) {\n        res.crop = rectContainRect(rectCreateFromSize(cropSize), correctedAspectRatio);\n    }\n    if (typeof rotation === 'number' && rotation !== null && rotation !== 0) {\n        if (rotation != null)\n            res.rotation = rotation;\n        const rotatedCropSize = getRotatedRectSize(cropCentered, rotation);\n        const scalar = Math.max(rotatedCropSize.width / cropSize.width, rotatedCropSize.height / cropSize.height);\n        // crop position in non-rotated image\n        const cropCenter = vectorCreate(center.x * imageSize.width, center.y * imageSize.height);\n        // get rotated image center\n        const rotatedImageSize = getImageTransformedRect(imageSize, rotation);\n        const rotatedImageCenter = sizeCenter(rotatedImageSize);\n        const rotatedImageOffset = vectorCreate((rotatedImageSize.width - imageSize.width) * 0.5, (rotatedImageSize.height - imageSize.height) * 0.5);\n        const cropPoints = rectRotate({\n            x: rotatedImageOffset.x + cropCenter.x - (canvasSize.width / scalar) * 0.5,\n            y: rotatedImageOffset.y + cropCenter.y - (canvasSize.height / scalar) * 0.5,\n            width: canvasSize.width / scalar,\n            height: canvasSize.height / scalar,\n        }, rotation);\n        const cropBoundsPoints = vectorsRotate(cropPoints.map(vectorClone), rotation, rotatedImageCenter.x, rotatedImageCenter.y);\n        const cropBoundsPointsCenter = rectCenter(rectCreateFromPoints(cropBoundsPoints));\n        const deRotatedCropBoundsPoints = vectorsRotate(cropBoundsPoints.map(vectorClone), -(rotation * 2), cropBoundsPointsCenter.x, cropBoundsPointsCenter.y);\n        res.crop = rectCreateFromPoints(deRotatedCropBoundsPoints);\n    }\n    else if (zoom != null) {\n        rectScale$1(res.crop, 1 / zoom);\n    }\n    if (!cropLimit) {\n        res.cropLimitToImage = false;\n    }\n    return res;\n};\n//#endregion\nconst isLegacyData = (data = {}) => {\n    if ('markup' in data || 'color' in data || 'filter' in data)\n        return true;\n    const { crop } = data;\n    if (crop && ('flip' in crop || 'center' in crop || 'aspectRatio' in crop || 'rotation' in crop))\n        return true;\n    return false;\n};\nvar legacyDataToImageState = (editor, imageSize, data = {}) => {\n    const res = {};\n    // test if isn't legacy data\n    if (!isLegacyData(data))\n        return data;\n    if (data.crop) {\n        Object.assign(res, imagePropertiesFromLegacyCrop(imageSize, data.crop));\n    }\n    if (data.markup) {\n        const markup = Array.isArray(data.markup) ? data.markup : Object.values(data.markup);\n        res.decoration = markup.map((markup) => shapeFromLegacyMarkup(res.crop || imageSize, markup[0], markup[1]));\n    }\n    if (data.color || data.colors) {\n        const colors = data.color || data.colors;\n        Object.keys(colors)\n            .filter((key) => colors[key])\n            .map((key) => [\n            key,\n            Array.isArray(colors[key].matrix)\n                ? colors[key].matrix\n                : Object.values(colors[key].matrix),\n        ])\n            .forEach(([key, value]) => {\n            if (!res.colorMatrix)\n                res.colorMatrix = {};\n            res.colorMatrix[key] = value;\n        });\n    }\n    if (data.filter || data.filters) {\n        const filter = data.filters || data.filter;\n        if (!res.colorMatrix)\n            res.colorMatrix = {};\n        const filterFunctions = editor ? editor['filterFunctions'] : filterFunctionsDefault;\n        res.colorMatrix.filter =\n            typeof filter === 'string' && filterFunctions[filter]\n                ? filterFunctions[filter]()\n                : filter.matrix;\n    }\n    const resize = data.size ? data.size : data.resize ? data.resize.size : false;\n    if (resize && resize.width && resize.height) {\n        res.targetSize = {\n            width: resize.width,\n            height: resize.height,\n        };\n    }\n    return res;\n};\n\nconst isOperaMini = () => Object.prototype.toString.call(window['operamini']) === '[object OperaMini]';\nconst hasPromises = () => 'Promise' in window;\nconst hasCreateObjectURL = () => 'URL' in window && 'createObjectURL' in window.URL;\nconst hasVisibility = () => 'visibilityState' in document;\nconst hasTiming = () => 'performance' in window; // iOS 8.x\nconst hasFileConstructor = () => 'File' in window; // excludes IE11\nlet result$2 = null;\nvar isModernBrowser = () => {\n    if (result$2 === null)\n        result$2 =\n            isBrowser() &&\n                // Can't run on Opera Mini due to lack of everything\n                !isOperaMini() &&\n                // Require these APIs to feature detect a modern browser\n                hasVisibility() &&\n                hasPromises() &&\n                hasFileConstructor() &&\n                hasCreateObjectURL() &&\n                hasTiming();\n    return result$2;\n};\n\nconst brightness = {\n    base: 0,\n    min: -0.25,\n    max: 0.25,\n    getLabel: (value) => toPercentageNumber(value / 0.25),\n    getStore: ({ imageColorMatrix }) => imageColorMatrix,\n    getValue: (store) => {\n        if (!store.brightness)\n            return;\n        return store.brightness[4];\n    },\n    setValue: (store, v) => store.update((matrices) => ({\n        // clone existing matrices\n        ...matrices,\n        // prettier-ignore\n        brightness: [\n            1, 0, 0, 0, v,\n            0, 1, 0, 0, v,\n            0, 0, 1, 0, v,\n            0, 0, 0, 1, 0\n        ],\n    })),\n};\nconst contrast = {\n    base: 1,\n    min: 0.5,\n    max: 1.5,\n    getLabel: (value) => toPercentageNumber(-1 + (value - 0.5) * 2),\n    getStore: ({ imageColorMatrix }) => imageColorMatrix,\n    getValue: (store) => {\n        if (!store.contrast)\n            return;\n        return store.contrast[0];\n    },\n    setValue: (store, v) => store.update((matrices) => ({\n        // clone existing matrices\n        ...matrices,\n        // prettier-ignore\n        contrast: [\n            v, 0, 0, 0, .5 * (1 - v),\n            0, v, 0, 0, .5 * (1 - v),\n            0, 0, v, 0, .5 * (1 - v),\n            0, 0, 0, 1, 0\n        ],\n    })),\n};\nconst saturation = {\n    base: 1,\n    min: 0,\n    max: 2,\n    getLabel: (value) => toPercentageNumber(value - 1),\n    getStore: ({ imageColorMatrix }) => imageColorMatrix,\n    getValue: (store) => {\n        if (!store.saturation)\n            return;\n        return (store.saturation[0] - 0.213) / 0.787;\n    },\n    setValue: (store, v) => store.update((matrices) => ({\n        ...matrices,\n        // prettier-ignore\n        saturation: [\n            .213 + .787 * v, .715 - .715 * v, .072 - .072 * v, 0, 0,\n            .213 - .213 * v, .715 + .285 * v, .072 - .072 * v, 0, 0,\n            .213 - .213 * v, .715 - .715 * v, .072 + .928 * v, 0, 0,\n            0, 0, 0, 1, 0\n        ],\n    })),\n};\nconst exposure = {\n    base: 1,\n    min: 0.5,\n    max: 1.5,\n    getLabel: (value) => toPercentageNumber(-1 + (value - 0.5) * 2),\n    getStore: ({ imageColorMatrix }) => imageColorMatrix,\n    getValue: (store) => {\n        if (!store.exposure)\n            return;\n        return store.exposure[0];\n    },\n    setValue: (store, v) => store.update((matrices) => ({\n        ...matrices,\n        // prettier-ignore\n        exposure: [\n            v, 0, 0, 0, 0,\n            0, v, 0, 0, 0,\n            0, 0, v, 0, 0,\n            0, 0, 0, 1, 0\n        ],\n    })),\n};\nconst gamma = {\n    base: 1,\n    min: 0.15,\n    max: 4,\n    getLabel: (value) => {\n        if (value < 1) {\n            return toPercentageNumber((value - 0.15) / 0.85 - 1);\n        }\n        return toPercentageNumber((value - 1) / 3);\n    },\n    getStore: ({ imageGamma }) => imageGamma,\n};\nconst vignette = {\n    base: 0,\n    min: -1,\n    max: 1,\n    getStore: ({ imageVignette }) => imageVignette,\n};\nconst clarity = {\n    base: 0,\n    min: -1,\n    max: 1,\n    getStore: ({ imageConvolutionMatrix }) => imageConvolutionMatrix,\n    getValue: (store) => {\n        if (!store.clarity)\n            return;\n        if (store.clarity[0] === 0) {\n            return store.clarity[1] / -1;\n        }\n        else {\n            return store.clarity[1] / -2;\n        }\n    },\n    setValue: (store, v) => {\n        store.update((matrices) => ({\n            ...matrices,\n            // prettier-ignore\n            clarity: v >= 0\n                ? [0, -1 * v, 0,\n                    -1 * v, 1 + 4 * v, -1 * v,\n                    0, -1 * v, 0\n                ]\n                : [-1 * v, -2 * v, -1 * v,\n                    -2 * v, 1 + -3 * v, -2 * v,\n                    -1 * v, -2 * v, -1 * v\n                ],\n        }));\n    },\n};\nconst temperature = {\n    base: 0,\n    min: -1,\n    max: 1,\n    getStore: ({ imageColorMatrix }) => imageColorMatrix,\n    getValue: (store) => {\n        if (!store.temperature)\n            return;\n        const v = store.temperature[0];\n        if (v >= 1) {\n            return (v - 1) / 0.1;\n        }\n        return (1 - v) / -0.15;\n    },\n    setValue: (store, v) => store.update((matrices) => ({\n        ...matrices,\n        // prettier-ignore\n        temperature: v > 0 ? [\n            1 + (v * .1), 0, 0, 0, 0,\n            0, 1, 0, 0, 0,\n            0, 0, 1 + (-v * .1), 0, 0,\n            0, 0, 0, 1, 0\n        ] : [\n            1 + (v * .15), 0, 0, 0, 0,\n            0, 1 + (v * .05), 0, 0, 0,\n            0, 0, 1 + (-v * .15), 0, 0,\n            0, 0, 0, 1, 0\n        ],\n    })),\n};\nconst finetuneControlConfigurationDefault = {\n    gamma,\n    brightness,\n    contrast,\n    saturation,\n    exposure,\n    temperature,\n    clarity,\n    vignette,\n};\nconst finetuneOptionsDefault = [\n    ['brightness', (locale) => locale.finetuneLabelBrightness],\n    ['contrast', (locale) => locale.finetuneLabelContrast],\n    ['saturation', (locale) => locale.finetuneLabelSaturation],\n    ['exposure', (locale) => locale.finetuneLabelExposure],\n    ['temperature', (locale) => locale.finetuneLabelTemperature],\n    ['gamma', (locale) => locale.finetuneLabelGamma],\n    !isSoftwareRendering() && ['clarity', (locale) => locale.finetuneLabelClarity],\n    ['vignette', (locale) => locale.finetuneLabelVignette],\n].filter(Boolean);\nvar _plugin_finetune_defaults = {\n    finetuneControlConfiguration: finetuneControlConfigurationDefault,\n    finetuneOptions: finetuneOptionsDefault,\n};\n/*\nTODO: fix inverse fn in getValue\nexport const hue = {\n    base: 0,\n    min: 0,\n    max: Math.PI,\n    getStore: ({ imageColorMatrix }) => imageColorMatrix,\n    getValue: (store) => {\n        if (!store.hue) return;\n\n        const v = store.hue[1];\n\n        const o = -(Math.acos((0.715 - v) / Math.sqrt(2) / 0.715) - Math.PI / 4);\n\n        return o;\n    },\n    setValue: (store, v: number) => {\n        store.update((matrices) => {\n            // const value = v * (Math.PI);\n\n            const cos = Math.cos(v);\n            const sin = Math.sin(v);\n\n            const a00 = 0.213 + cos * 0.787 - sin * 0.213;\n            const a01 = 0.715 - cos * 0.715 - sin * 0.715;\n            const a02 = 0.072 - cos * 0.072 + sin * 0.928;\n            const a10 = 0.213 - cos * 0.213 + sin * 0.143;\n            const a11 = 0.715 + cos * 0.285 + sin * 0.14;\n            const a12 = 0.072 - cos * 0.072 - sin * 0.283;\n            const a20 = 0.213 - cos * 0.213 - sin * 0.787;\n            const a21 = 0.715 - cos * 0.715 + sin * 0.715;\n            const a22 = 0.072 + cos * 0.928 + sin * 0.072;\n\n            return {\n                ...matrices,\n\n                // prettier-ignore\n                hue: [\n                    a00, a01, a02, 0, 0,\n                    a10, a11, a12, 0, 0,\n                    a20, a21, a22, 0, 0,\n                      0,   0,   0, 1, 0,\n                ]\n            };\n        });\n    },\n};\n*/\n\nconst solidSharp = {\n    shape: {\n        frameColor: [1, 1, 1],\n        frameStyle: 'solid',\n        frameSize: '2.5%',\n    },\n    thumb: '<rect stroke-width=\"5\" x=\"0\" y=\"0\" width=\"100%\" height=\"100%\"/>',\n};\nconst solidRound = {\n    shape: {\n        frameColor: [1, 1, 1],\n        frameStyle: 'solid',\n        frameSize: '2.5%',\n        frameRound: true,\n    },\n    thumb: '<rect stroke-width=\"5\" x=\"0\" y=\"0\" width=\"100%\" height=\"100%\" rx=\"12%\"/>',\n};\nconst lineSingle = {\n    shape: {\n        frameColor: [1, 1, 1],\n        frameStyle: 'line',\n        frameInset: '2.5%',\n        frameSize: '.3125%',\n        frameRadius: 0,\n    },\n    thumb: '<div style=\"top:.5em;left:.5em;right:.5em;bottom:.5em;box-shadow:inset 0 0 0 1px currentColor\"></div>',\n};\nconst lineMultiple = {\n    shape: {\n        frameColor: [1, 1, 1],\n        frameStyle: 'line',\n        frameAmount: 2,\n        frameInset: '2.5%',\n        frameSize: '.3125%',\n        frameOffset: '1.25%',\n        frameRadius: 0,\n    },\n    thumb: '<div style=\"top:.75em;left:.75em;right:.75em;bottom:.75em; outline: 3px double\"></div>',\n};\nconst edgeSeparate = {\n    shape: {\n        frameColor: [1, 1, 1],\n        frameStyle: 'edge',\n        frameInset: '2.5%',\n        frameOffset: '5%',\n        frameSize: '.3125%',\n    },\n    thumb: '<div style=\"top:.75em;left:.5em;bottom:.75em;border-left:1px solid\"></div><div style=\"top:.75em;right:.5em;bottom:.75em;border-right:1px solid\"></div><div style=\"top:.5em;left:.75em;right:.75em;border-top:1px solid\"></div><div style=\"bottom:.5em;left:.75em;right:.75em;border-bottom:1px solid\"></div>',\n};\nconst edgeCross = {\n    shape: {\n        frameColor: [1, 1, 1],\n        frameStyle: 'edge',\n        frameInset: '2.5%',\n        frameSize: '.3125%',\n    },\n    thumb: '<div style=\"top:-.5em;left:.5em;right:.5em;bottom:-.5em; box-shadow: inset 0 0 0 1px currentColor\"></div><div style=\"top:.5em;left:-.5em;right:-.5em;bottom:.5em;box-shadow:inset 0 0 0 1px currentColor\"></div>',\n};\nconst edgeOverlap = {\n    shape: {\n        frameColor: [1, 1, 1],\n        frameStyle: 'edge',\n        frameOffset: '1.5%',\n        frameSize: '.3125%',\n    },\n    thumb: '<div style=\"top:.3125em;left:.5em;bottom:.3125em;border-left:1px solid\"></div><div style=\"top:.3125em;right:.5em;bottom:.3125em;border-right:1px solid\"></div><div style=\"top:.5em;left:.3125em;right:.3125em;border-top:1px solid\"></div><div style=\"bottom:.5em;left:.3125em;right:.3125em;border-bottom:1px solid\"></div>',\n};\nconst hook = {\n    shape: {\n        frameColor: [1, 1, 1],\n        frameStyle: 'hook',\n        frameInset: '2.5%',\n        frameSize: '.3125%',\n        frameLength: '5%',\n    },\n    thumb: '<div style=\"top:.5em;left:.5em;width:.75em;height:.75em; border-left: 1px solid;border-top: 1px solid;\"></div><div style=\"top:.5em;right:.5em;width:.75em;height:.75em; border-right: 1px solid;border-top: 1px solid;\"></div><div style=\"bottom:.5em;left:.5em;width:.75em;height:.75em; border-left: 1px solid;border-bottom: 1px solid;\"></div><div style=\"bottom:.5em;right:.5em;width:.75em;height:.75em; border-right: 1px solid;border-bottom: 1px solid;\"></div>',\n};\nconst polaroid = {\n    shape: {\n        frameColor: [1, 1, 1],\n        frameStyle: 'polaroid',\n    },\n    thumb: '<rect stroke-width=\"20%\" x=\"-5%\" y=\"-5%\" width=\"110%\" height=\"96%\"/>',\n};\nconst frameStylesDefault = {\n    solidSharp,\n    solidRound,\n    lineSingle,\n    lineMultiple,\n    edgeSeparate,\n    edgeCross,\n    edgeOverlap,\n    hook,\n    polaroid,\n};\nconst frameOptionsDefault = [\n    [undefined, (locale) => locale.labelNone],\n    ['solidSharp', (locale) => locale.frameLabelMatSharp],\n    ['solidRound', (locale) => locale.frameLabelMatRound],\n    ['lineSingle', (locale) => locale.frameLabelLineSingle],\n    ['lineMultiple', (locale) => locale.frameLabelLineMultiple],\n    ['edgeCross', (locale) => locale.frameLabelEdgeCross],\n    ['edgeSeparate', (locale) => locale.frameLabelEdgeSeparate],\n    ['edgeOverlap', (locale) => locale.frameLabelEdgeOverlap],\n    ['hook', (locale) => locale.frameLabelCornerHooks],\n    ['polaroid', (locale) => locale.frameLabelPolaroid],\n];\nvar _plugin_frame_defaults = {\n    frameStyles: frameStylesDefault,\n    frameOptions: frameOptionsDefault,\n};\n\nvar RGBToHSV = (r, g, b) => {\n    let v = Math.max(r, g, b), n = v - Math.min(r, g, b);\n    let h = n && (v == r ? (g - b) / n : v == g ? 2 + (b - r) / n : 4 + (r - g) / n);\n    return [(60 * (h < 0 ? h + 6 : h)) / 360, v && n / v, v];\n};\n\nvar HSVToRGB = (h, s, v) => {\n    let r, g, b;\n    const i = Math.floor(h * 6);\n    const f = h * 6 - i;\n    const p = v * (1 - s);\n    const q = v * (1 - f * s);\n    const t = v * (1 - (1 - f) * s);\n    switch (i % 6) {\n        case 0:\n            (r = v), (g = t), (b = p);\n            break;\n        case 1:\n            (r = q), (g = v), (b = p);\n            break;\n        case 2:\n            (r = p), (g = v), (b = t);\n            break;\n        case 3:\n            (r = p), (g = q), (b = v);\n            break;\n        case 4:\n            (r = t), (g = p), (b = v);\n            break;\n        case 5:\n            (r = v), (g = p), (b = q);\n            break;\n    }\n    return [r, g, b];\n};\n\n/* src/core/ui/components/ColorPreview.svelte generated by Svelte v3.52.0 */\n\nfunction create_fragment$w(ctx) {\n\tlet div;\n\tlet span;\n\tlet div_style_value;\n\n\treturn {\n\t\tc() {\n\t\t\tdiv = element(\"div\");\n\t\t\tspan = element(\"span\");\n\t\t\tattr(div, \"class\", \"PinturaColorPreview\");\n\t\t\tattr(div, \"title\", /*title*/ ctx[0]);\n\t\t\tattr(div, \"style\", div_style_value = `--color:${/*colorValue*/ ctx[1]}`);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, div, anchor);\n\t\t\tappend(div, span);\n\t\t},\n\t\tp(ctx, [dirty]) {\n\t\t\tif (dirty & /*title*/ 1) {\n\t\t\t\tattr(div, \"title\", /*title*/ ctx[0]);\n\t\t\t}\n\n\t\t\tif (dirty & /*colorValue*/ 2 && div_style_value !== (div_style_value = `--color:${/*colorValue*/ ctx[1]}`)) {\n\t\t\t\tattr(div, \"style\", div_style_value);\n\t\t\t}\n\t\t},\n\t\ti: noop,\n\t\to: noop,\n\t\td(detaching) {\n\t\t\tif (detaching) detach(div);\n\t\t}\n\t};\n}\n\nfunction instance$w($$self, $$props, $$invalidate) {\n\tlet colorValue;\n\tlet { color = undefined } = $$props;\n\tlet { title = undefined } = $$props;\n\n\t$$self.$$set = $$props => {\n\t\tif ('color' in $$props) $$invalidate(2, color = $$props.color);\n\t\tif ('title' in $$props) $$invalidate(0, title = $$props.title);\n\t};\n\n\t$$self.$$.update = () => {\n\t\tif ($$self.$$.dirty & /*color*/ 4) {\n\t\t\t$$invalidate(1, colorValue = color ? colorArrayToRGBA(color) : 'transparent');\n\t\t}\n\t};\n\n\treturn [title, colorValue, color];\n}\n\nclass ColorPreview extends SvelteComponent {\n\tconstructor(options) {\n\t\tsuper();\n\t\tinit(this, options, instance$w, create_fragment$w, safe_not_equal, { color: 2, title: 0 });\n\t}\n}\n\n/* src/core/ui/components/ColorPicker.svelte generated by Svelte v3.52.0 */\n\nfunction create_if_block_4$4(ctx) {\n\tlet span;\n\tlet t;\n\n\treturn {\n\t\tc() {\n\t\t\tspan = element(\"span\");\n\t\t\tt = text(/*label*/ ctx[0]);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, span, anchor);\n\t\t\tappend(span, t);\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tif (dirty[0] & /*label*/ 1) set_data(t, /*label*/ ctx[0]);\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(span);\n\t\t}\n\t};\n}\n\n// (168:4) \nfunction create_label_slot(ctx) {\n\tlet span;\n\tlet colorpreview;\n\tlet t;\n\tlet current;\n\n\tcolorpreview = new ColorPreview({\n\t\t\tprops: {\n\t\t\t\tcolor: /*value*/ ctx[4],\n\t\t\t\ttitle: localize(/*title*/ ctx[8], /*locale*/ ctx[10])\n\t\t\t}\n\t\t});\n\n\tlet if_block = !/*hidePresetLabel*/ ctx[9] && create_if_block_4$4(ctx);\n\n\treturn {\n\t\tc() {\n\t\t\tspan = element(\"span\");\n\t\t\tcreate_component(colorpreview.$$.fragment);\n\t\t\tt = space();\n\t\t\tif (if_block) if_block.c();\n\t\t\tattr(span, \"slot\", \"label\");\n\t\t\tattr(span, \"class\", \"PinturaButtonLabel\");\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, span, anchor);\n\t\t\tmount_component(colorpreview, span, null);\n\t\t\tappend(span, t);\n\t\t\tif (if_block) if_block.m(span, null);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tconst colorpreview_changes = {};\n\t\t\tif (dirty[0] & /*value*/ 16) colorpreview_changes.color = /*value*/ ctx[4];\n\t\t\tif (dirty[0] & /*title, locale*/ 1280) colorpreview_changes.title = localize(/*title*/ ctx[8], /*locale*/ ctx[10]);\n\t\t\tcolorpreview.$set(colorpreview_changes);\n\n\t\t\tif (!/*hidePresetLabel*/ ctx[9]) {\n\t\t\t\tif (if_block) {\n\t\t\t\t\tif_block.p(ctx, dirty);\n\t\t\t\t} else {\n\t\t\t\t\tif_block = create_if_block_4$4(ctx);\n\t\t\t\t\tif_block.c();\n\t\t\t\t\tif_block.m(span, null);\n\t\t\t\t}\n\t\t\t} else if (if_block) {\n\t\t\t\tif_block.d(1);\n\t\t\t\tif_block = null;\n\t\t\t}\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(colorpreview.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(colorpreview.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(span);\n\t\t\tdestroy_component(colorpreview);\n\t\t\tif (if_block) if_block.d();\n\t\t}\n\t};\n}\n\n// (179:8) {#if enablePicker}\nfunction create_if_block_2$5(ctx) {\n\tlet div3;\n\tlet div2;\n\tlet div1;\n\tlet div0;\n\tlet div0_style_value;\n\tlet div1_style_value;\n\tlet div2_style_value;\n\tlet t0;\n\tlet slider;\n\tlet t1;\n\tlet current;\n\tlet mounted;\n\tlet dispose;\n\n\tslider = new Slider({\n\t\t\tprops: {\n\t\t\t\tclass: \"PinturaHuePicker\",\n\t\t\t\tknobStyle: `background-color:${/*valueAsRGBAFullySaturated*/ ctx[19]}`,\n\t\t\t\tonchange: /*updateHue*/ ctx[24],\n\t\t\t\tvalue: /*hue*/ ctx[14],\n\t\t\t\tmin: 0,\n\t\t\t\tmax: 1,\n\t\t\t\tstep: 0.01\n\t\t\t}\n\t\t});\n\n\tlet if_block = /*enableOpacity*/ ctx[11] && create_if_block_3$4(ctx);\n\n\treturn {\n\t\tc() {\n\t\t\tdiv3 = element(\"div\");\n\t\t\tdiv2 = element(\"div\");\n\t\t\tdiv1 = element(\"div\");\n\t\t\tdiv0 = element(\"div\");\n\t\t\tt0 = space();\n\t\t\tcreate_component(slider.$$.fragment);\n\t\t\tt1 = space();\n\t\t\tif (if_block) if_block.c();\n\t\t\tattr(div0, \"role\", \"button\");\n\t\t\tattr(div0, \"aria-label\", \"Saturation slider\");\n\t\t\tattr(div0, \"class\", \"PinturaPickerKnob\");\n\t\t\tattr(div0, \"tabindex\", \"0\");\n\t\t\tattr(div0, \"style\", div0_style_value = `background-color:${/*valueAsRGBAFullyOpaque*/ ctx[18]};`);\n\t\t\tattr(div1, \"class\", \"PinturaPickerKnobController\");\n\t\t\tattr(div1, \"style\", div1_style_value = `transform:translate(${/*sx*/ ctx[22]}%,${/*sy*/ ctx[21]}%)`);\n\t\t\tattr(div2, \"class\", \"PinturaSaturationPicker\");\n\t\t\tattr(div2, \"style\", div2_style_value = `background-color: ${/*valueAsRGBAFullySaturated*/ ctx[19]}`);\n\t\t\tattr(div3, \"class\", \"PinturaPicker\");\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, div3, anchor);\n\t\t\tappend(div3, div2);\n\t\t\tappend(div2, div1);\n\t\t\tappend(div1, div0);\n\t\t\t/*div2_binding*/ ctx[32](div2);\n\t\t\tappend(div3, t0);\n\t\t\tmount_component(slider, div3, null);\n\t\t\tappend(div3, t1);\n\t\t\tif (if_block) if_block.m(div3, null);\n\t\t\tcurrent = true;\n\n\t\t\tif (!mounted) {\n\t\t\t\tdispose = [\n\t\t\t\t\tlisten(div0, \"nudge\", /*handleNudge*/ ctx[27]),\n\t\t\t\t\taction_destroyer(nudgeable.call(null, div0, { preventDefault: true })),\n\t\t\t\t\tlisten(div2, \"pointerdown\", /*handlePointerDown*/ ctx[26])\n\t\t\t\t];\n\n\t\t\t\tmounted = true;\n\t\t\t}\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tif (!current || dirty[0] & /*valueAsRGBAFullyOpaque*/ 262144 && div0_style_value !== (div0_style_value = `background-color:${/*valueAsRGBAFullyOpaque*/ ctx[18]};`)) {\n\t\t\t\tattr(div0, \"style\", div0_style_value);\n\t\t\t}\n\n\t\t\tif (!current || dirty[0] & /*sx, sy*/ 6291456 && div1_style_value !== (div1_style_value = `transform:translate(${/*sx*/ ctx[22]}%,${/*sy*/ ctx[21]}%)`)) {\n\t\t\t\tattr(div1, \"style\", div1_style_value);\n\t\t\t}\n\n\t\t\tif (!current || dirty[0] & /*valueAsRGBAFullySaturated*/ 524288 && div2_style_value !== (div2_style_value = `background-color: ${/*valueAsRGBAFullySaturated*/ ctx[19]}`)) {\n\t\t\t\tattr(div2, \"style\", div2_style_value);\n\t\t\t}\n\n\t\t\tconst slider_changes = {};\n\t\t\tif (dirty[0] & /*valueAsRGBAFullySaturated*/ 524288) slider_changes.knobStyle = `background-color:${/*valueAsRGBAFullySaturated*/ ctx[19]}`;\n\t\t\tif (dirty[0] & /*hue*/ 16384) slider_changes.value = /*hue*/ ctx[14];\n\t\t\tslider.$set(slider_changes);\n\n\t\t\tif (/*enableOpacity*/ ctx[11]) {\n\t\t\t\tif (if_block) {\n\t\t\t\t\tif_block.p(ctx, dirty);\n\n\t\t\t\t\tif (dirty[0] & /*enableOpacity*/ 2048) {\n\t\t\t\t\t\ttransition_in(if_block, 1);\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tif_block = create_if_block_3$4(ctx);\n\t\t\t\t\tif_block.c();\n\t\t\t\t\ttransition_in(if_block, 1);\n\t\t\t\t\tif_block.m(div3, null);\n\t\t\t\t}\n\t\t\t} else if (if_block) {\n\t\t\t\tgroup_outros();\n\n\t\t\t\ttransition_out(if_block, 1, 1, () => {\n\t\t\t\t\tif_block = null;\n\t\t\t\t});\n\n\t\t\t\tcheck_outros();\n\t\t\t}\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(slider.$$.fragment, local);\n\t\t\ttransition_in(if_block);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(slider.$$.fragment, local);\n\t\t\ttransition_out(if_block);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(div3);\n\t\t\t/*div2_binding*/ ctx[32](null);\n\t\t\tdestroy_component(slider);\n\t\t\tif (if_block) if_block.d();\n\t\t\tmounted = false;\n\t\t\trun_all(dispose);\n\t\t}\n\t};\n}\n\n// (213:16) {#if enableOpacity}\nfunction create_if_block_3$4(ctx) {\n\tlet slider;\n\tlet current;\n\n\tslider = new Slider({\n\t\t\tprops: {\n\t\t\t\tclass: \"PinturaOpacityPicker\",\n\t\t\t\tknobStyle: `background-color:${/*valueAsRGBA*/ ctx[16]}`,\n\t\t\t\ttrackStyle: `background-image:linear-gradient(to right,${/*valueAsRGBAFullyTransparent*/ ctx[17]},${/*valueAsRGBAFullyOpaque*/ ctx[18]})`,\n\t\t\t\tonchange: /*updateOpacity*/ ctx[25],\n\t\t\t\tvalue: /*opacity*/ ctx[15],\n\t\t\t\tmin: 0,\n\t\t\t\tmax: 1,\n\t\t\t\tstep: 0.01\n\t\t\t}\n\t\t});\n\n\treturn {\n\t\tc() {\n\t\t\tcreate_component(slider.$$.fragment);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tmount_component(slider, target, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tconst slider_changes = {};\n\t\t\tif (dirty[0] & /*valueAsRGBA*/ 65536) slider_changes.knobStyle = `background-color:${/*valueAsRGBA*/ ctx[16]}`;\n\t\t\tif (dirty[0] & /*valueAsRGBAFullyTransparent, valueAsRGBAFullyOpaque*/ 393216) slider_changes.trackStyle = `background-image:linear-gradient(to right,${/*valueAsRGBAFullyTransparent*/ ctx[17]},${/*valueAsRGBAFullyOpaque*/ ctx[18]})`;\n\t\t\tif (dirty[0] & /*opacity*/ 32768) slider_changes.value = /*opacity*/ ctx[15];\n\t\t\tslider.$set(slider_changes);\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(slider.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(slider.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tdestroy_component(slider, detaching);\n\t\t}\n\t};\n}\n\n// (229:8) {#if enablePresets}\nfunction create_if_block$7(ctx) {\n\tlet radiogroup;\n\tlet current;\n\n\tradiogroup = new RadioGroup({\n\t\t\tprops: {\n\t\t\t\tlabel: localize(/*locale*/ ctx[10].labelColorPalette, /*locale*/ ctx[10]),\n\t\t\t\tclass: arrayJoin([\n\t\t\t\t\t'PinturaColorPresets',\n\t\t\t\t\t/*hidePresetLabel*/ ctx[9]\n\t\t\t\t\t? 'PinturaColorPresetsGrid'\n\t\t\t\t\t: 'PinturaColorPresetsList'\n\t\t\t\t]),\n\t\t\t\thideLabel: false,\n\t\t\t\tname: /*name*/ ctx[1],\n\t\t\t\tvalue: /*value*/ ctx[4],\n\t\t\t\toptionGroupClass: \"PinturaListOptionGroup\",\n\t\t\t\toptionClass: \"PinturaListOption\",\n\t\t\t\toptions: /*options*/ ctx[2].map(/*func*/ ctx[33]),\n\t\t\t\tselectedIndex: /*selectedIndex*/ ctx[3],\n\t\t\t\toptionMapper: /*optionMapper*/ ctx[7],\n\t\t\t\toptionLabelClass: /*optionLabelClass*/ ctx[6],\n\t\t\t\tonchange: /*func_1*/ ctx[34],\n\t\t\t\t$$slots: {\n\t\t\t\t\toption: [\n\t\t\t\t\t\tcreate_option_slot$4,\n\t\t\t\t\t\t({ option }) => ({ 45: option }),\n\t\t\t\t\t\t({ option }) => [0, option ? 16384 : 0]\n\t\t\t\t\t],\n\t\t\t\t\tgroup: [\n\t\t\t\t\t\tcreate_group_slot,\n\t\t\t\t\t\t({ option }) => ({ 45: option }),\n\t\t\t\t\t\t({ option }) => [0, option ? 16384 : 0]\n\t\t\t\t\t]\n\t\t\t\t},\n\t\t\t\t$$scope: { ctx }\n\t\t\t}\n\t\t});\n\n\treturn {\n\t\tc() {\n\t\t\tcreate_component(radiogroup.$$.fragment);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tmount_component(radiogroup, target, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tconst radiogroup_changes = {};\n\t\t\tif (dirty[0] & /*locale*/ 1024) radiogroup_changes.label = localize(/*locale*/ ctx[10].labelColorPalette, /*locale*/ ctx[10]);\n\n\t\t\tif (dirty[0] & /*hidePresetLabel*/ 512) radiogroup_changes.class = arrayJoin([\n\t\t\t\t'PinturaColorPresets',\n\t\t\t\t/*hidePresetLabel*/ ctx[9]\n\t\t\t\t? 'PinturaColorPresetsGrid'\n\t\t\t\t: 'PinturaColorPresetsList'\n\t\t\t]);\n\n\t\t\tif (dirty[0] & /*name*/ 2) radiogroup_changes.name = /*name*/ ctx[1];\n\t\t\tif (dirty[0] & /*value*/ 16) radiogroup_changes.value = /*value*/ ctx[4];\n\t\t\tif (dirty[0] & /*options, locale*/ 1028) radiogroup_changes.options = /*options*/ ctx[2].map(/*func*/ ctx[33]);\n\t\t\tif (dirty[0] & /*selectedIndex*/ 8) radiogroup_changes.selectedIndex = /*selectedIndex*/ ctx[3];\n\t\t\tif (dirty[0] & /*optionMapper*/ 128) radiogroup_changes.optionMapper = /*optionMapper*/ ctx[7];\n\t\t\tif (dirty[0] & /*optionLabelClass*/ 64) radiogroup_changes.optionLabelClass = /*optionLabelClass*/ ctx[6];\n\n\t\t\tif (dirty[0] & /*hidePresetLabel*/ 512 | dirty[1] & /*$$scope, option*/ 49152) {\n\t\t\t\tradiogroup_changes.$$scope = { dirty, ctx };\n\t\t\t}\n\n\t\t\tradiogroup.$set(radiogroup_changes);\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(radiogroup.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(radiogroup.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tdestroy_component(radiogroup, detaching);\n\t\t}\n\t};\n}\n\n// (251:16) \nfunction create_group_slot(ctx) {\n\tlet span;\n\tlet t_value = /*option*/ ctx[45].label + \"\";\n\tlet t;\n\n\treturn {\n\t\tc() {\n\t\t\tspan = element(\"span\");\n\t\t\tt = text(t_value);\n\t\t\tattr(span, \"slot\", \"group\");\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, span, anchor);\n\t\t\tappend(span, t);\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tif (dirty[1] & /*option*/ 16384 && t_value !== (t_value = /*option*/ ctx[45].label + \"\")) set_data(t, t_value);\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(span);\n\t\t}\n\t};\n}\n\n// (256:20) {#if !hidePresetLabel}\nfunction create_if_block_1$6(ctx) {\n\tlet span;\n\tlet t_value = /*option*/ ctx[45].label + \"\";\n\tlet t;\n\n\treturn {\n\t\tc() {\n\t\t\tspan = element(\"span\");\n\t\t\tt = text(t_value);\n\t\t\tattr(span, \"class\", \"PinturaButtonLabel\");\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, span, anchor);\n\t\t\tappend(span, t);\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tif (dirty[1] & /*option*/ 16384 && t_value !== (t_value = /*option*/ ctx[45].label + \"\")) set_data(t, t_value);\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(span);\n\t\t}\n\t};\n}\n\n// (254:16) \nfunction create_option_slot$4(ctx) {\n\tlet span;\n\tlet colorpreview;\n\tlet t;\n\tlet current;\n\n\tcolorpreview = new ColorPreview({\n\t\t\tprops: {\n\t\t\t\ttitle: /*option*/ ctx[45].label,\n\t\t\t\tcolor: /*option*/ ctx[45].value\n\t\t\t}\n\t\t});\n\n\tlet if_block = !/*hidePresetLabel*/ ctx[9] && create_if_block_1$6(ctx);\n\n\treturn {\n\t\tc() {\n\t\t\tspan = element(\"span\");\n\t\t\tcreate_component(colorpreview.$$.fragment);\n\t\t\tt = space();\n\t\t\tif (if_block) if_block.c();\n\t\t\tattr(span, \"slot\", \"option\");\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, span, anchor);\n\t\t\tmount_component(colorpreview, span, null);\n\t\t\tappend(span, t);\n\t\t\tif (if_block) if_block.m(span, null);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tconst colorpreview_changes = {};\n\t\t\tif (dirty[1] & /*option*/ 16384) colorpreview_changes.title = /*option*/ ctx[45].label;\n\t\t\tif (dirty[1] & /*option*/ 16384) colorpreview_changes.color = /*option*/ ctx[45].value;\n\t\t\tcolorpreview.$set(colorpreview_changes);\n\n\t\t\tif (!/*hidePresetLabel*/ ctx[9]) {\n\t\t\t\tif (if_block) {\n\t\t\t\t\tif_block.p(ctx, dirty);\n\t\t\t\t} else {\n\t\t\t\t\tif_block = create_if_block_1$6(ctx);\n\t\t\t\t\tif_block.c();\n\t\t\t\t\tif_block.m(span, null);\n\t\t\t\t}\n\t\t\t} else if (if_block) {\n\t\t\t\tif_block.d(1);\n\t\t\t\tif_block = null;\n\t\t\t}\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(colorpreview.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(colorpreview.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(span);\n\t\t\tdestroy_component(colorpreview);\n\t\t\tif (if_block) if_block.d();\n\t\t}\n\t};\n}\n\n// (177:4) \nfunction create_details_slot(ctx) {\n\tlet div;\n\tlet t;\n\tlet current;\n\tlet if_block0 = /*enablePicker*/ ctx[13] && create_if_block_2$5(ctx);\n\tlet if_block1 = /*enablePresets*/ ctx[12] && create_if_block$7(ctx);\n\n\treturn {\n\t\tc() {\n\t\t\tdiv = element(\"div\");\n\t\t\tif (if_block0) if_block0.c();\n\t\t\tt = space();\n\t\t\tif (if_block1) if_block1.c();\n\t\t\tattr(div, \"slot\", \"details\");\n\t\t\tattr(div, \"class\", \"PinturaColorPickerPanel\");\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, div, anchor);\n\t\t\tif (if_block0) if_block0.m(div, null);\n\t\t\tappend(div, t);\n\t\t\tif (if_block1) if_block1.m(div, null);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tif (/*enablePicker*/ ctx[13]) {\n\t\t\t\tif (if_block0) {\n\t\t\t\t\tif_block0.p(ctx, dirty);\n\n\t\t\t\t\tif (dirty[0] & /*enablePicker*/ 8192) {\n\t\t\t\t\t\ttransition_in(if_block0, 1);\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tif_block0 = create_if_block_2$5(ctx);\n\t\t\t\t\tif_block0.c();\n\t\t\t\t\ttransition_in(if_block0, 1);\n\t\t\t\t\tif_block0.m(div, t);\n\t\t\t\t}\n\t\t\t} else if (if_block0) {\n\t\t\t\tgroup_outros();\n\n\t\t\t\ttransition_out(if_block0, 1, 1, () => {\n\t\t\t\t\tif_block0 = null;\n\t\t\t\t});\n\n\t\t\t\tcheck_outros();\n\t\t\t}\n\n\t\t\tif (/*enablePresets*/ ctx[12]) {\n\t\t\t\tif (if_block1) {\n\t\t\t\t\tif_block1.p(ctx, dirty);\n\n\t\t\t\t\tif (dirty[0] & /*enablePresets*/ 4096) {\n\t\t\t\t\t\ttransition_in(if_block1, 1);\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tif_block1 = create_if_block$7(ctx);\n\t\t\t\t\tif_block1.c();\n\t\t\t\t\ttransition_in(if_block1, 1);\n\t\t\t\t\tif_block1.m(div, null);\n\t\t\t\t}\n\t\t\t} else if (if_block1) {\n\t\t\t\tgroup_outros();\n\n\t\t\t\ttransition_out(if_block1, 1, 1, () => {\n\t\t\t\t\tif_block1 = null;\n\t\t\t\t});\n\n\t\t\t\tcheck_outros();\n\t\t\t}\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(if_block0);\n\t\t\ttransition_in(if_block1);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(if_block0);\n\t\t\ttransition_out(if_block1);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(div);\n\t\t\tif (if_block0) if_block0.d();\n\t\t\tif (if_block1) if_block1.d();\n\t\t}\n\t};\n}\n\nfunction create_fragment$v(ctx) {\n\tlet panel;\n\tlet current;\n\n\tpanel = new Panel({\n\t\t\tprops: {\n\t\t\t\tbuttonClass: arrayJoin(['PinturaColorPickerButton', /*buttonClass*/ ctx[5]]),\n\t\t\t\t$$slots: {\n\t\t\t\t\tdetails: [create_details_slot],\n\t\t\t\t\tlabel: [create_label_slot]\n\t\t\t\t},\n\t\t\t\t$$scope: { ctx }\n\t\t\t}\n\t\t});\n\n\treturn {\n\t\tc() {\n\t\t\tcreate_component(panel.$$.fragment);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tmount_component(panel, target, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tconst panel_changes = {};\n\t\t\tif (dirty[0] & /*buttonClass*/ 32) panel_changes.buttonClass = arrayJoin(['PinturaColorPickerButton', /*buttonClass*/ ctx[5]]);\n\n\t\t\tif (dirty[0] & /*locale, hidePresetLabel, name, value, options, selectedIndex, optionMapper, optionLabelClass, enablePresets, valueAsRGBA, valueAsRGBAFullyTransparent, valueAsRGBAFullyOpaque, opacity, enableOpacity, valueAsRGBAFullySaturated, hue, input, sx, sy, enablePicker, label, title*/ 8388575 | dirty[1] & /*$$scope*/ 32768) {\n\t\t\t\tpanel_changes.$$scope = { dirty, ctx };\n\t\t\t}\n\n\t\t\tpanel.$set(panel_changes);\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(panel.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(panel.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tdestroy_component(panel, detaching);\n\t\t}\n\t};\n}\n\nfunction instance$v($$self, $$props, $$invalidate) {\n\tlet sx;\n\tlet sy;\n\tlet { label = undefined } = $$props;\n\tlet { name = undefined } = $$props;\n\tlet { options = [] } = $$props;\n\tlet { selectedIndex = -1 } = $$props;\n\tlet { value = undefined } = $$props;\n\tlet { buttonClass = undefined } = $$props;\n\tlet { optionLabelClass = undefined } = $$props;\n\tlet { optionMapper = undefined } = $$props;\n\tlet { onchange = undefined } = $$props;\n\tlet { title = undefined } = $$props;\n\tlet { hidePresetLabel = true } = $$props;\n\tlet { locale = undefined } = $$props;\n\tlet { enableOpacity = true } = $$props;\n\tlet { enablePresets = true } = $$props;\n\tlet { enablePicker = true } = $$props;\n\n\t// inputs\n\tlet hue;\n\n\tlet saturation;\n\tlet brightness;\n\tlet opacity;\n\n\t// shortcuts\n\tlet valueAsRGB;\n\n\tlet valueAsRGBA;\n\tlet valueAsRGBAFullyTransparent;\n\tlet valueAsRGBAFullyOpaque;\n\tlet valueAsRGBAFullySaturated;\n\n\t// remember previous value\n\tlet valuePrev;\n\n\tconst updateProps = (color, syncControls) => {\n\t\tvalueAsRGB = [color[0], color[1], color[2]];\n\n\t\tif (syncControls) {\n\t\t\tlet valueAsHSV = RGBToHSV(...valueAsRGB);\n\t\t\t$$invalidate(14, hue = valueAsHSV[0]);\n\t\t\t$$invalidate(29, saturation = valueAsHSV[1]);\n\t\t\t$$invalidate(30, brightness = valueAsHSV[2]);\n\t\t\t$$invalidate(15, opacity = isNumber(color[3]) ? color[3] : 1);\n\t\t}\n\n\t\t$$invalidate(16, valueAsRGBA = colorArrayToRGBA(color));\n\t\t$$invalidate(17, valueAsRGBAFullyTransparent = colorArrayToRGBA([...valueAsRGB, 0]));\n\t\t$$invalidate(18, valueAsRGBAFullyOpaque = colorArrayToRGBA([...valueAsRGB, 1]));\n\t\t$$invalidate(19, valueAsRGBAFullySaturated = colorArrayToRGBA(HSVToRGB(hue, 1, 1)));\n\t};\n\n\tconst update = () => {\n\t\tconst rgb = HSVToRGB(hue, saturation, brightness);\n\t\tconst rgba = [...rgb, opacity];\n\t\tupdateProps(rgba);\n\t\tonchange(rgba);\n\t};\n\n\tconst updateColorArray = arr => {\n\t\tconst rgba = arr.length === 3 ? [...arr, 1] : arr;\n\t\tupdateProps(rgba, true);\n\t\tonchange(rgba);\n\t};\n\n\tconst updateHue = h => {\n\t\t$$invalidate(14, hue = h);\n\t\tif (opacity === 0) $$invalidate(15, opacity = 1);\n\t\tupdate();\n\t};\n\n\tconst updateSaturationAndBrightness = (s, b) => {\n\t\t$$invalidate(29, saturation = s);\n\t\t$$invalidate(30, brightness = b);\n\t\tif (opacity === 0) $$invalidate(15, opacity = 1);\n\t\tupdate();\n\t};\n\n\tconst updateOpacity = o => {\n\t\t$$invalidate(15, opacity = o);\n\t\tupdate();\n\t};\n\n\tconst setValueByOffset = (offset, inputSize) => {\n\t\tconst x = clamp(offset.x / inputSize.width, 0, 1);\n\t\tconst y = clamp(offset.y / inputSize.height, 0, 1);\n\t\tupdateSaturationAndBrightness(x, 1 - y);\n\t};\n\n\tlet input;\n\tlet inputSize;\n\tlet inputOffset;\n\tlet inputPageOffset;\n\n\tconst handlePointerDown = e => {\n\t\te.stopPropagation();\n\t\tinputSize = sizeCreate(input.offsetWidth, input.offsetHeight);\n\t\tinputOffset = vectorCreateFromPointerEventOffset(e);\n\t\tinputPageOffset = vectorCreateFromPointerEvent(e);\n\t\tsetValueByOffset(inputOffset, inputSize);\n\t\tdocument.documentElement.addEventListener('pointermove', handlePointerMove);\n\t\tdocument.documentElement.addEventListener('pointerup', handlePointerUp);\n\t};\n\n\tconst handlePointerMove = e => {\n\t\tconst d = vectorSubtract(vectorCreateFromPointerEvent(e), inputPageOffset);\n\t\tsetValueByOffset(vectorAdd(vectorClone(inputOffset), d), inputSize);\n\t};\n\n\tconst handlePointerUp = e => {\n\t\tinputSize = undefined;\n\t\tdocument.documentElement.removeEventListener('pointermove', handlePointerMove);\n\t\tdocument.documentElement.removeEventListener('pointerup', handlePointerUp);\n\t};\n\n\tconst handleNudge = e => {\n\t\tinputSize = sizeCreate(input.offsetWidth, input.offsetHeight);\n\t\tconst x = sx / 100 * inputSize.width;\n\t\tconst y = sy / 100 * inputSize.height;\n\t\tsetValueByOffset({ x: x + e.detail.x, y: y + e.detail.y }, inputSize);\n\t};\n\n\tfunction div2_binding($$value) {\n\t\tbinding_callbacks[$$value ? 'unshift' : 'push'](() => {\n\t\t\tinput = $$value;\n\t\t\t$$invalidate(20, input);\n\t\t});\n\t}\n\n\tconst func = ([color, label]) => [color, isFunction(label) ? label(locale) : label];\n\tconst func_1 = detail => updateColorArray(detail.value);\n\n\t$$self.$$set = $$props => {\n\t\tif ('label' in $$props) $$invalidate(0, label = $$props.label);\n\t\tif ('name' in $$props) $$invalidate(1, name = $$props.name);\n\t\tif ('options' in $$props) $$invalidate(2, options = $$props.options);\n\t\tif ('selectedIndex' in $$props) $$invalidate(3, selectedIndex = $$props.selectedIndex);\n\t\tif ('value' in $$props) $$invalidate(4, value = $$props.value);\n\t\tif ('buttonClass' in $$props) $$invalidate(5, buttonClass = $$props.buttonClass);\n\t\tif ('optionLabelClass' in $$props) $$invalidate(6, optionLabelClass = $$props.optionLabelClass);\n\t\tif ('optionMapper' in $$props) $$invalidate(7, optionMapper = $$props.optionMapper);\n\t\tif ('onchange' in $$props) $$invalidate(28, onchange = $$props.onchange);\n\t\tif ('title' in $$props) $$invalidate(8, title = $$props.title);\n\t\tif ('hidePresetLabel' in $$props) $$invalidate(9, hidePresetLabel = $$props.hidePresetLabel);\n\t\tif ('locale' in $$props) $$invalidate(10, locale = $$props.locale);\n\t\tif ('enableOpacity' in $$props) $$invalidate(11, enableOpacity = $$props.enableOpacity);\n\t\tif ('enablePresets' in $$props) $$invalidate(12, enablePresets = $$props.enablePresets);\n\t\tif ('enablePicker' in $$props) $$invalidate(13, enablePicker = $$props.enablePicker);\n\t};\n\n\t$$self.$$.update = () => {\n\t\tif ($$self.$$.dirty[0] & /*value*/ 16 | $$self.$$.dirty[1] & /*valuePrev*/ 1) {\n\t\t\t// update initial value if supplied\n\t\t\tif (value && (!valuePrev || !arrayEqual(value, valuePrev))) {\n\t\t\t\t$$invalidate(31, valuePrev = [...value]);\n\t\t\t\tupdateProps(value, true);\n\t\t\t}\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*saturation*/ 536870912) {\n\t\t\t$$invalidate(22, sx = saturation * 100);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*brightness*/ 1073741824) {\n\t\t\t$$invalidate(21, sy = 100 - brightness * 100);\n\t\t}\n\t};\n\n\treturn [\n\t\tlabel,\n\t\tname,\n\t\toptions,\n\t\tselectedIndex,\n\t\tvalue,\n\t\tbuttonClass,\n\t\toptionLabelClass,\n\t\toptionMapper,\n\t\ttitle,\n\t\thidePresetLabel,\n\t\tlocale,\n\t\tenableOpacity,\n\t\tenablePresets,\n\t\tenablePicker,\n\t\thue,\n\t\topacity,\n\t\tvalueAsRGBA,\n\t\tvalueAsRGBAFullyTransparent,\n\t\tvalueAsRGBAFullyOpaque,\n\t\tvalueAsRGBAFullySaturated,\n\t\tinput,\n\t\tsy,\n\t\tsx,\n\t\tupdateColorArray,\n\t\tupdateHue,\n\t\tupdateOpacity,\n\t\thandlePointerDown,\n\t\thandleNudge,\n\t\tonchange,\n\t\tsaturation,\n\t\tbrightness,\n\t\tvaluePrev,\n\t\tdiv2_binding,\n\t\tfunc,\n\t\tfunc_1\n\t];\n}\n\nclass ColorPicker extends SvelteComponent {\n\tconstructor(options) {\n\t\tsuper();\n\n\t\tinit(\n\t\t\tthis,\n\t\t\toptions,\n\t\t\tinstance$v,\n\t\t\tcreate_fragment$v,\n\t\t\tsafe_not_equal,\n\t\t\t{\n\t\t\t\tlabel: 0,\n\t\t\t\tname: 1,\n\t\t\t\toptions: 2,\n\t\t\t\tselectedIndex: 3,\n\t\t\t\tvalue: 4,\n\t\t\t\tbuttonClass: 5,\n\t\t\t\toptionLabelClass: 6,\n\t\t\t\toptionMapper: 7,\n\t\t\t\tonchange: 28,\n\t\t\t\ttitle: 8,\n\t\t\t\thidePresetLabel: 9,\n\t\t\t\tlocale: 10,\n\t\t\t\tenableOpacity: 11,\n\t\t\t\tenablePresets: 12,\n\t\t\t\tenablePicker: 13\n\t\t\t},\n\t\t\tnull,\n\t\t\t[-1, -1]\n\t\t);\n\t}\n}\n\nvar upperCaseFirstLetter = (str) => str.charAt(0).toUpperCase() + str.slice(1);\n\nlet result$1 = null;\nvar canCheckFontAvailability = () => {\n    if (result$1 === null) {\n        if (!isBrowser())\n            result$1 = false;\n        else {\n            try {\n                // if browser can detect font as non existend then it supports font checking (only chrome)\n                // @ts-ignore\n                result$1 = document.fonts.check('16px TestNonExistingFont') === false;\n            }\n            catch (err) {\n                // if throws assume can't check\n                result$1 = false;\n            }\n        }\n    }\n    return result$1;\n};\n\nconst toLocaleFn = (key, localePrefix) => (locale) => locale[localePrefix ? `${localePrefix}${upperCaseFirstLetter(key)}` : key];\nconst mapToSizeOption = (v) => [v, `${v}`];\nconst createLocaleMapper = (options, localePrefix) => (key) => [options[key], toLocaleFn(key, localePrefix)];\nconst toolColorDefault = [1, 0.2549, 0.2118];\nconst toolStrokeWidthDefault = '0.5%';\nconst toolStrokeColorDefault = [1, 1, 1, 0];\n//#region tools\nconst toolShapeDefaults = {\n    eraser: () => ({\n        eraseRadius: 0,\n    }),\n    path: () => ({\n        points: [],\n    }),\n    line: () => ({\n        x1: 0,\n        y1: 0,\n        x2: 0,\n        y2: 0,\n        disableErase: false,\n    }),\n    rectangle: () => ({\n        x: 0,\n        y: 0,\n        width: 0,\n        height: 0,\n    }),\n    ellipse: () => ({\n        x: 0,\n        y: 0,\n        rx: 0,\n        ry: 0,\n    }),\n    text: () => ({\n        x: 0,\n        y: 0,\n        text: 'Text',\n    }),\n};\nconst createToolStyle = (type, shape = {}, options) => {\n    if (!toolShapeDefaults[type])\n        return;\n    const { position = 'relative', inputMode = 'drag' } = options || {};\n    const shapeDef = {\n        ...toolShapeDefaults[type](),\n        ...shape,\n    };\n    return [shapeDef, { position, inputMode }];\n};\nconst createToolStyles = (tools) => ({\n    sharpie: createToolStyle('path', {\n        strokeWidth: toolStrokeWidthDefault,\n        strokeColor: [...toolColorDefault],\n        disableErase: false,\n        disableResize: true,\n        disableMove: true,\n    }),\n    eraser: createToolStyle('eraser'),\n    path: createToolStyle('path', {\n        pathClose: undefined,\n        strokeWidth: toolStrokeWidthDefault,\n        strokeColor: [...toolColorDefault],\n        backgroundColor: [0, 0, 0, 0],\n    }, {\n        inputMode: 'step',\n    }),\n    line: createToolStyle('line', {\n        strokeColor: [...toolColorDefault],\n        strokeWidth: toolStrokeWidthDefault,\n    }),\n    arrow: createToolStyle('line', {\n        lineStart: 'none',\n        lineEnd: 'arrow-solid',\n        strokeColor: [...toolColorDefault],\n        strokeWidth: toolStrokeWidthDefault,\n    }),\n    rectangle: createToolStyle('rectangle', {\n        strokeColor: [...toolStrokeColorDefault],\n        backgroundColor: [...toolColorDefault],\n    }),\n    ellipse: createToolStyle('ellipse', {\n        strokeColor: [...toolStrokeColorDefault],\n        backgroundColor: [...toolColorDefault],\n    }),\n    text: createToolStyle('text', {\n        color: [...toolColorDefault],\n        fontSize: '2%',\n    }),\n    ...tools,\n});\n//#endregion\n//#region toolbar\nconst createToolbarItem = (tool, label, props) => [\n    tool,\n    label || toLocaleFn(tool, 'shapeLabelTool'),\n    {\n        icon: toLocaleFn(tool, 'shapeIconTool'),\n        ...props,\n    },\n];\nconst createToolbar = (tools = [\n    'move',\n    'view',\n    'sharpie',\n    'eraser',\n    'path',\n    'line',\n    'arrow',\n    'rectangle',\n    'ellipse',\n    'text',\n    'preset',\n]) => tools\n    .map((tool) => {\n    // default tool definition, assume locale in\n    if (isString(tool))\n        return createToolbarItem(tool);\n    // tool def with propery\n    if (Array.isArray(tool)) {\n        // state update of tool with key in locale object\n        if (isObject(tool[1]))\n            return createToolbarItem(tool[0], undefined, tool[1]);\n        // should be string, string\n        return createToolbarItem(tool[0], tool[1], tool[2]);\n    }\n})\n    .filter(Boolean);\n//#endregion\n//#region style option defaults\nconst createDefaultColorOptions = () => ({\n    transparent: [1, 1, 1, 0],\n    white: [1, 1, 1],\n    silver: [0.8667, 0.8667, 0.8667],\n    gray: [0.6667, 0.6667, 0.6667],\n    black: [0, 0, 0],\n    navy: [0, 0.1216, 0.2471],\n    blue: [0, 0.4549, 0.851],\n    aqua: [0.498, 0.8588, 1],\n    teal: [0.2235, 0.8, 0.8],\n    olive: [0.2392, 0.6, 0.4392],\n    green: [0.1804, 0.8, 0.251],\n    yellow: [1, 0.8627, 0],\n    orange: [1, 0.5216, 0.1059],\n    red: [1, 0.2549, 0.2118],\n    maroon: [0.5216, 0.0784, 0.2941],\n    fuchsia: [0.9412, 0.0706, 0.7451],\n    purple: [0.6941, 0.051, 0.7882],\n});\nconst createDefaultFontSizeOptions = () => [\n    16, 18, 20, 24, 30, 36, 48, 64, 72, 96, 128, 144,\n];\nconst createDefaultLineHeightOptions = createDefaultFontSizeOptions;\nconst createDefaultFontScaleOptions = () => ({\n    extraSmall: '2%',\n    small: '4%',\n    mediumSmall: '8%',\n    medium: '10%',\n    mediumLarge: '15%',\n    large: '20%',\n    extraLarge: '25%',\n});\nconst createDefaultLineHeightScaleOptions = () => ({\n    extraSmall: '40%',\n    small: '60%',\n    mediumSmall: '100%',\n    medium: '120%',\n    mediumLarge: '140%',\n    large: '180%',\n    extraLarge: '220%',\n});\nconst createDefaultStrokeWidthOptions = () => [\n    1, 2, 3, 4, 6, 8, 12, 16, 20, 24, 32, 48, 64,\n];\nconst createDefaultStrokeScaleOptions = () => ({\n    extraSmall: '0.25%',\n    small: '0.5%',\n    mediumSmall: '1%',\n    medium: '1.75%',\n    mediumLarge: '2.5%',\n    large: '3.5%',\n    extraLarge: '5%',\n});\nconst createDefaultLineEndStyleOptions = () => [\n    'bar',\n    'arrow',\n    'arrowSolid',\n    'circle',\n    'circleSolid',\n    'square',\n    'squareSolid',\n];\nconst createDefaultFontFamilyOptions = () => [\n    [`Helvetica, Arial, Verdana, 'Droid Sans', sans-serif`, 'Sans Serif'],\n    [`'Arial Black', 'Avenir-Black', 'Arial Bold'`, 'Black'],\n    [`'Arial Narrow', 'Futura-CondensedMedium'`, 'Narrow'],\n    [`'Trebuchet MS'`, 'Humanist'],\n    [`Georgia, 'Avenir-Black', 'Times New Roman', 'Droid Serif', serif`, 'Serif'],\n    [`Palatino`, 'Old-Style'],\n    [`'Times New Roman', 'TimesNewRomanPSMT'`, 'Transitional'],\n    [`Menlo, Monaco, 'Lucida Console', monospace`, 'Monospaced'],\n    [`'Courier New', monospace`, 'Slab Serif'],\n];\nconst createDefaultTextAlignOptions = () => ['left', 'center', 'right'];\nconst createDefaultFontStyleOptions = () => [\n    ['normal', 'bold'],\n    ['italic', 'normal'],\n    ['italic', 'bold'],\n];\n//#endregion\n//#region style options\nconst createColorOptions = (colors) => Object.keys(colors).map(createLocaleMapper(colors, 'shapeTitleColor'));\nconst createFontSizeOptions = (sizes) => sizes.map(mapToSizeOption);\nconst createFontScaleOptions = (scales) => Object.keys(scales).map(createLocaleMapper(scales, 'labelSize'));\nconst createLineHeightOptions = (sizes) => sizes.map(mapToSizeOption);\nconst createLineHeightScaleOptions = (scales) => Object.keys(scales).map(createLocaleMapper(scales, 'labelSize'));\nconst createStrokeWidthOptions = (sizes) => sizes.map(mapToSizeOption);\nconst createStrokeScaleOptions = (scales) => Object.keys(scales).map(createLocaleMapper(scales, 'labelSize'));\nconst createFontFamilyOptions = (fonts) => [...fonts];\nconst createFontStyleOptions = (styles) => styles.map((style) => [\n    style,\n    (locale) => locale[`shapeLabelFontStyle${style\n        .filter((v) => v !== 'normal')\n        .map(upperCaseFirstLetter)\n        .join('')}`],\n]);\nconst createLineEndStyleOptions = (styles) => styles.map((style) => [\n    toKebabCase(style),\n    (locale) => locale[`shapeTitleLineDecoration${upperCaseFirstLetter(style)}`],\n    { icon: (locale) => locale[`shapeIconLineDecoration${upperCaseFirstLetter(style)}`] },\n]);\nconst createTextAlignOptions = (options) => options.map((align) => [\n    align,\n    (locale) => locale[`shapeTitleTextAlign${upperCaseFirstLetter(align)}`],\n    {\n        hideLabel: true,\n        icon: (locale) => locale[`shapeIconTextAlign${upperCaseFirstLetter(align)}`],\n    },\n]);\nconst createControlOptions = (items, options) => {\n    const { defaultKey, defaultValue, defaultOptions } = options || {};\n    const arr = [];\n    if (defaultKey)\n        arr[0] = [defaultValue, (locale) => locale[defaultKey], { ...defaultOptions }];\n    return [...arr, ...items];\n};\n//#endregion\n//#region shape style controls\nconst someFontsAvailableInStack = (stack) => stack\n    .split(',')\n    .map((name) => name.trim())\n    .some((name) => {\n    return document.fonts.check(`16px ${name}`);\n});\nconst createColorControl = (items, options = {}) => [\n    ColorPicker,\n    {\n        title: (locale) => locale.labelColor,\n        options: createControlOptions(items),\n        ...options,\n    },\n];\nconst createSliderControl = (options = {}) => [\n    ToggleSlider,\n    {\n        ...options,\n    },\n];\nconst FontTestClass = 'PinturaFontTest';\nconst createFontFamilyControl = (fontFamilies, options = { defaultKey: 'labelDefault' }) => [\n    Dropdown,\n    {\n        title: (locale) => locale.shapeTitleFontFamily,\n        onload: ({ options = [] }) => {\n            // can't check for font availability so don't try\n            if (!canCheckFontAvailability())\n                return;\n            options\n                // map to font stack (option value)\n                .map(([stack]) => stack)\n                // filter out undefined\n                .filter(Boolean)\n                // filter out fonts that are available\n                .filter((stack) => !someFontsAvailableInStack(stack))\n                // remaining fonts should have dom elements for future check\n                .forEach((stack) => {\n                // get as id\n                const testId = `${FontTestClass}-${stack\n                    .replace(/[^a-zA-Z0-9]+/g, '')\n                    .toLowerCase()}`;\n                // already added this tester\n                if (document.getElementById(testId))\n                    return;\n                // add font tester, this triggers browser to download font\n                document.body.append(h('span', {\n                    textContent: ' ',\n                    id: testId,\n                    class: FontTestClass,\n                    style: `font-family:${stack};font-size:0;color:transparent;`,\n                }));\n            });\n        },\n        ondestroy: () => {\n            // can't check for font availability so no need to clean up\n            if (!canCheckFontAvailability())\n                return;\n            // clean up testers\n            const testers = document.querySelectorAll('.PinturaFontTest');\n            testers.forEach((tester) => tester.remove());\n        },\n        optionLabelStyle: (value) => `font-family: ${value}`,\n        options: createControlOptions(fontFamilies, options),\n        optionFilter: (fontFamilyOption) => {\n            // don't filter if not in browser context\n            if (!canCheckFontAvailability())\n                return true;\n            // get font stack\n            const [stack] = fontFamilyOption;\n            // allow if undefined\n            if (!stack)\n                return true;\n            // filter out fonts that aren't available\n            const res = someFontsAvailableInStack(stack);\n            return res;\n        },\n    },\n];\nconst createBackgroundColorControl = (items, options = {}) => [\n    ColorPicker,\n    {\n        title: (locale) => locale.shapeTitleBackgroundColor,\n        options: createControlOptions(items),\n        ...options,\n    },\n];\nconst createStrokeColorControl = (items, options = {}) => [\n    ColorPicker,\n    {\n        title: (locale) => locale.shapeTitleStrokeColor,\n        options: createControlOptions(items),\n        buttonClass: 'PinturaColorPickerButtonStroke',\n        onchange: (value, shape) => {\n            // get shape strokeWidth as number\n            const strokeWidth = shape.strokeWidth;\n            const strokeWidthParsed = isNumber(strokeWidth) || isString(strokeWidth) ? parseFloat(strokeWidth) : 0;\n            // already has outline\n            if (strokeWidthParsed > 0)\n                return;\n            // set outline to first stroke width\n            shape.strokeWidth = (options && options.defaultStrokeWidth) || '0.5%';\n        },\n        ...options,\n    },\n];\nconst createStrokeWidthControl = (items) => [\n    Dropdown,\n    {\n        title: (locale) => locale.shapeTitleStrokeWidth,\n        options: (shape) => {\n            if (hasProp(shape, 'backgroundColor'))\n                return createControlOptions(items, {\n                    defaultKey: 'shapeLabelStrokeNone',\n                });\n            return createControlOptions(items);\n        },\n        onchange: (value, shape) => {\n            // no width selected\n            if (!value)\n                return;\n            // get shape strokeColor\n            const strokeColor = shape.strokeColor || [];\n            // already has visible stroke color or has no stroke color\n            if (strokeColor[3])\n                return;\n            // duplicate color and assign to shape\n            const color = [...strokeColor];\n            color[3] = 1;\n            shape.strokeColor = color;\n        },\n    },\n];\nconst createLineControl = (items, titleKey, optionIconStyle) => [\n    Dropdown,\n    {\n        title: (locale) => locale[titleKey],\n        options: createControlOptions(items, {\n            defaultKey: 'labelNone',\n            defaultOptions: {\n                icon: `<g stroke=\"currentColor\" stroke-linecap=\"round\" stroke-width=\".125em\"><path d=\"M5,12 H14\"/></g>`,\n            },\n        }),\n        optionIconStyle,\n    },\n];\nconst createLineStartStyleControl = (items) => createLineControl(items, 'shapeTitleLineStart', `transform: scaleX(-1)`);\nconst createLineEndStyleControl = (items) => createLineControl(items, 'shapeTitleLineEnd');\nconst createFontColorControl = (items) => [\n    ColorPicker,\n    {\n        title: (locale) => locale.shapeTitleTextColor,\n        options: createControlOptions(items),\n    },\n];\nconst createFontStyleControl = (items) => [\n    Dropdown,\n    {\n        title: (locale) => locale.shapeTitleFontStyle,\n        optionLabelStyle: (value) => value && `font-style:${value[0]};font-weight:${value[1]}`,\n        options: createControlOptions(items, {\n            defaultKey: 'shapeLabelFontStyleNormal',\n        }),\n    },\n];\nconst createFontSizeControl = (items, options) => {\n    // TODO: remove percentage value from this control\n    if (!options && !items.find(([value]) => value === '4%')) {\n        options = { defaultKey: 'labelAuto', defaultValue: '4%' };\n    }\n    return [\n        Dropdown,\n        {\n            title: (locale) => locale.shapeTitleFontSize,\n            options: createControlOptions(items, options),\n        },\n    ];\n};\nconst createTextAlignControl = (items) => [\n    RadioGroup,\n    {\n        title: (locale) => locale.shapeTitleTextAlign,\n        options: createControlOptions(items),\n    },\n];\nconst createLineHeightControl = (items, options) => {\n    if (!options && !items.find(([value]) => value === '120%')) {\n        options = { defaultKey: 'labelAuto', defaultValue: '120%' };\n    }\n    return [\n        Dropdown,\n        {\n            title: (locale) => locale.shapeTitleLineHeight,\n            options: createControlOptions(items, options),\n        },\n    ];\n};\nconst autoFormatNumberItems = (arr) => arr.map(mapToSizeOption);\nconst createShapeStyleControls = (options = {}) => {\n    const { colorOptions = createColorOptions(createDefaultColorOptions()), lineEndStyleOptions = createLineEndStyleOptions(createDefaultLineEndStyleOptions()), fontFamilyOptions = createFontFamilyOptions(createDefaultFontFamilyOptions()), fontStyleOptions = createFontStyleOptions(createDefaultFontStyleOptions()), textAlignOptions = createTextAlignOptions(createDefaultTextAlignOptions()), } = options;\n    // these are let because we might overwrite them later when autoformatting\n    let { strokeWidthOptions = createStrokeScaleOptions(createDefaultStrokeScaleOptions()), fontSizeOptions = createFontScaleOptions(createDefaultFontScaleOptions()), lineHeightOptions = createLineHeightScaleOptions(createDefaultLineHeightScaleOptions()), } = options;\n    // auto format items that are all numbers\n    [fontSizeOptions, lineHeightOptions, strokeWidthOptions] = [\n        fontSizeOptions,\n        lineHeightOptions,\n        strokeWidthOptions,\n    ].map((items) => {\n        if (Array.isArray(items) && items.every(isNumber)) {\n            return autoFormatNumberItems(items);\n        }\n        return items;\n    });\n    const controls = {\n        // generic\n        defaultColor: colorOptions && createColorControl(colorOptions),\n        defaultNumber: createSliderControl(),\n        defaultPercentage: createSliderControl({\n            getValue: (value) => parseFloat(value),\n            setValue: (value) => `${value}%`,\n            step: 0.05,\n            label: (value, min, max) => `${Math.round((value / max) * 100)}%`,\n            labelClass: 'PinturaPercentageLabel',\n        }),\n        // shape background\n        backgroundColor: colorOptions && createBackgroundColorControl(colorOptions),\n        // line/outline\n        strokeColor: colorOptions && createStrokeColorControl(colorOptions),\n        strokeWidth: strokeWidthOptions && createStrokeWidthControl(strokeWidthOptions),\n        // line\n        lineStart: lineEndStyleOptions && createLineStartStyleControl(lineEndStyleOptions),\n        lineEnd: lineEndStyleOptions && createLineEndStyleControl(lineEndStyleOptions),\n        // text\n        color: colorOptions && createFontColorControl(colorOptions),\n        fontFamily: fontFamilyOptions && createFontFamilyControl(fontFamilyOptions),\n        fontStyle_fontWeight: fontStyleOptions && createFontStyleControl(fontStyleOptions),\n        fontSize: fontSizeOptions && createFontSizeControl(fontSizeOptions),\n        lineHeight: lineHeightOptions && createLineHeightControl(lineHeightOptions),\n        textAlign: textAlignOptions && createTextAlignControl(textAlignOptions),\n        // rect\n        cornerRadius: [\n            'defaultPercentage',\n            {\n                min: 0,\n                max: 50,\n                title: (locale) => locale.shapeTitleCornerRadius,\n            },\n        ],\n        // generic options\n        frameColor: ['defaultColor'],\n        frameSize: [\n            'defaultPercentage',\n            {\n                min: 0.2,\n                max: 10,\n                title: (locale) => locale.labelSize,\n            },\n        ],\n        frameInset: [\n            'defaultPercentage',\n            { min: 0.5, max: 10, title: (locale) => locale.labelInset },\n        ],\n        frameOffset: [\n            'defaultPercentage',\n            { min: 0.5, max: 10, title: (locale) => locale.labelOffset },\n        ],\n        frameRadius: [\n            'defaultPercentage',\n            { min: 0.5, max: 10, title: (locale) => locale.labelRadius },\n        ],\n        frameAmount: [\n            'defaultNumber',\n            { min: 1, max: 5, step: 1, title: (locale) => locale.labelAmount },\n        ],\n    };\n    // assign custom entries (eraseRadius), maybe expand in future to assign all items this way\n    Object.entries(options).forEach(([key, value]) => {\n        if (controls[key])\n            return;\n        controls[key] = value;\n    });\n    return controls;\n};\n//#endregion\n\n/* src/core/ui/components/Measure.svelte generated by Svelte v3.52.0 */\n\nfunction create_fragment$u(ctx) {\n\tlet div;\n\tlet current;\n\tlet mounted;\n\tlet dispose;\n\tconst default_slot_template = /*#slots*/ ctx[5].default;\n\tconst default_slot = create_slot(default_slot_template, ctx, /*$$scope*/ ctx[4], null);\n\n\treturn {\n\t\tc() {\n\t\t\tdiv = element(\"div\");\n\t\t\tif (default_slot) default_slot.c();\n\t\t\tattr(div, \"class\", /*klass*/ ctx[0]);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, div, anchor);\n\n\t\t\tif (default_slot) {\n\t\t\t\tdefault_slot.m(div, null);\n\t\t\t}\n\n\t\t\tcurrent = true;\n\n\t\t\tif (!mounted) {\n\t\t\t\tdispose = [\n\t\t\t\t\tlisten(div, \"measure\", function () {\n\t\t\t\t\t\tif (is_function(/*didMount*/ ctx[1] && /*handleResize*/ ctx[3])) (/*didMount*/ ctx[1] && /*handleResize*/ ctx[3]).apply(this, arguments);\n\t\t\t\t\t}),\n\t\t\t\t\taction_destroyer(/*measurable*/ ctx[2].call(null, div))\n\t\t\t\t];\n\n\t\t\t\tmounted = true;\n\t\t\t}\n\t\t},\n\t\tp(new_ctx, [dirty]) {\n\t\t\tctx = new_ctx;\n\n\t\t\tif (default_slot) {\n\t\t\t\tif (default_slot.p && (!current || dirty & /*$$scope*/ 16)) {\n\t\t\t\t\tupdate_slot_base(\n\t\t\t\t\t\tdefault_slot,\n\t\t\t\t\t\tdefault_slot_template,\n\t\t\t\t\t\tctx,\n\t\t\t\t\t\t/*$$scope*/ ctx[4],\n\t\t\t\t\t\t!current\n\t\t\t\t\t\t? get_all_dirty_from_scope(/*$$scope*/ ctx[4])\n\t\t\t\t\t\t: get_slot_changes(default_slot_template, /*$$scope*/ ctx[4], dirty, null),\n\t\t\t\t\t\tnull\n\t\t\t\t\t);\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tif (!current || dirty & /*klass*/ 1) {\n\t\t\t\tattr(div, \"class\", /*klass*/ ctx[0]);\n\t\t\t}\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(default_slot, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(default_slot, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(div);\n\t\t\tif (default_slot) default_slot.d(detaching);\n\t\t\tmounted = false;\n\t\t\trun_all(dispose);\n\t\t}\n\t};\n}\n\nfunction instance$u($$self, $$props, $$invalidate) {\n\tlet { $$slots: slots = {}, $$scope } = $$props;\n\tconst dispatch = createEventDispatcher();\n\tlet { class: klass = null } = $$props;\n\n\t// context\n\tconst measurable = getContext('measurable');\n\n\tlet didMount = false;\n\tconst handleResize = ({ detail }) => dispatch('measure', detail);\n\tonMount(() => $$invalidate(1, didMount = true));\n\n\t$$self.$$set = $$props => {\n\t\tif ('class' in $$props) $$invalidate(0, klass = $$props.class);\n\t\tif ('$$scope' in $$props) $$invalidate(4, $$scope = $$props.$$scope);\n\t};\n\n\treturn [klass, didMount, measurable, handleResize, $$scope, slots];\n}\n\nclass Measure extends SvelteComponent {\n\tconstructor(options) {\n\t\tsuper();\n\t\tinit(this, options, instance$u, create_fragment$u, safe_not_equal, { class: 0 });\n\t}\n}\n\n/* src/core/ui/components/Util.svelte generated by Svelte v3.52.0 */\nconst get_footer_slot_changes = dirty => ({});\nconst get_footer_slot_context = ctx => ({});\nconst get_main_slot_changes = dirty => ({});\nconst get_main_slot_context = ctx => ({});\nconst get_header_slot_changes = dirty => ({});\nconst get_header_slot_context = ctx => ({});\n\n// (10:0) {#if hasHeader}\nfunction create_if_block_2$4(ctx) {\n\tlet div;\n\tlet current;\n\tconst header_slot_template = /*#slots*/ ctx[4].header;\n\tconst header_slot = create_slot(header_slot_template, ctx, /*$$scope*/ ctx[3], get_header_slot_context);\n\n\treturn {\n\t\tc() {\n\t\t\tdiv = element(\"div\");\n\t\t\tif (header_slot) header_slot.c();\n\t\t\tattr(div, \"class\", \"PinturaUtilHeader\");\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, div, anchor);\n\n\t\t\tif (header_slot) {\n\t\t\t\theader_slot.m(div, null);\n\t\t\t}\n\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tif (header_slot) {\n\t\t\t\tif (header_slot.p && (!current || dirty & /*$$scope*/ 8)) {\n\t\t\t\t\tupdate_slot_base(\n\t\t\t\t\t\theader_slot,\n\t\t\t\t\t\theader_slot_template,\n\t\t\t\t\t\tctx,\n\t\t\t\t\t\t/*$$scope*/ ctx[3],\n\t\t\t\t\t\t!current\n\t\t\t\t\t\t? get_all_dirty_from_scope(/*$$scope*/ ctx[3])\n\t\t\t\t\t\t: get_slot_changes(header_slot_template, /*$$scope*/ ctx[3], dirty, get_header_slot_changes),\n\t\t\t\t\t\tget_header_slot_context\n\t\t\t\t\t);\n\t\t\t\t}\n\t\t\t}\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(header_slot, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(header_slot, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(div);\n\t\t\tif (header_slot) header_slot.d(detaching);\n\t\t}\n\t};\n}\n\n// (17:22) <Measure class=\"PinturaStage\" on:measure />\nfunction fallback_block(ctx) {\n\tlet measure;\n\tlet current;\n\tmeasure = new Measure({ props: { class: \"PinturaStage\" } });\n\tmeasure.$on(\"measure\", /*measure_handler*/ ctx[5]);\n\n\treturn {\n\t\tc() {\n\t\t\tcreate_component(measure.$$.fragment);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tmount_component(measure, target, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp: noop,\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(measure.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(measure.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tdestroy_component(measure, detaching);\n\t\t}\n\t};\n}\n\n// (20:0) {#if hasFooter}\nfunction create_if_block_1$5(ctx) {\n\tlet div;\n\tlet current;\n\tconst footer_slot_template = /*#slots*/ ctx[4].footer;\n\tconst footer_slot = create_slot(footer_slot_template, ctx, /*$$scope*/ ctx[3], get_footer_slot_context);\n\n\treturn {\n\t\tc() {\n\t\t\tdiv = element(\"div\");\n\t\t\tif (footer_slot) footer_slot.c();\n\t\t\tattr(div, \"class\", \"PinturaUtilFooter\");\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, div, anchor);\n\n\t\t\tif (footer_slot) {\n\t\t\t\tfooter_slot.m(div, null);\n\t\t\t}\n\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tif (footer_slot) {\n\t\t\t\tif (footer_slot.p && (!current || dirty & /*$$scope*/ 8)) {\n\t\t\t\t\tupdate_slot_base(\n\t\t\t\t\t\tfooter_slot,\n\t\t\t\t\t\tfooter_slot_template,\n\t\t\t\t\t\tctx,\n\t\t\t\t\t\t/*$$scope*/ ctx[3],\n\t\t\t\t\t\t!current\n\t\t\t\t\t\t? get_all_dirty_from_scope(/*$$scope*/ ctx[3])\n\t\t\t\t\t\t: get_slot_changes(footer_slot_template, /*$$scope*/ ctx[3], dirty, get_footer_slot_changes),\n\t\t\t\t\t\tget_footer_slot_context\n\t\t\t\t\t);\n\t\t\t\t}\n\t\t\t}\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(footer_slot, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(footer_slot, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(div);\n\t\t\tif (footer_slot) footer_slot.d(detaching);\n\t\t}\n\t};\n}\n\nfunction create_fragment$t(ctx) {\n\tlet t0;\n\tlet div;\n\tlet t1;\n\tlet t2;\n\tlet if_block2_anchor;\n\tlet current;\n\tlet if_block0 = /*hasHeader*/ ctx[1] && create_if_block_2$4(ctx);\n\tconst main_slot_template = /*#slots*/ ctx[4].main;\n\tconst main_slot = create_slot(main_slot_template, ctx, /*$$scope*/ ctx[3], get_main_slot_context);\n\tconst main_slot_or_fallback = main_slot || fallback_block(ctx);\n\tlet if_block1 = /*hasFooter*/ ctx[2] && create_if_block_1$5(ctx);\n\tlet if_block2 = false ;\n\n\treturn {\n\t\tc() {\n\t\t\tif (if_block0) if_block0.c();\n\t\t\tt0 = space();\n\t\t\tdiv = element(\"div\");\n\t\t\tif (main_slot_or_fallback) main_slot_or_fallback.c();\n\t\t\tt1 = space();\n\t\t\tif (if_block1) if_block1.c();\n\t\t\tt2 = space();\n\t\t\tif_block2_anchor = empty();\n\t\t\tattr(div, \"class\", \"PinturaUtilMain\");\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tif (if_block0) if_block0.m(target, anchor);\n\t\t\tinsert(target, t0, anchor);\n\t\t\tinsert(target, div, anchor);\n\n\t\t\tif (main_slot_or_fallback) {\n\t\t\t\tmain_slot_or_fallback.m(div, null);\n\t\t\t}\n\n\t\t\t/*div_binding*/ ctx[6](div);\n\t\t\tinsert(target, t1, anchor);\n\t\t\tif (if_block1) if_block1.m(target, anchor);\n\t\t\tinsert(target, t2, anchor);\n\t\t\tinsert(target, if_block2_anchor, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, [dirty]) {\n\t\t\tif (/*hasHeader*/ ctx[1]) {\n\t\t\t\tif (if_block0) {\n\t\t\t\t\tif_block0.p(ctx, dirty);\n\n\t\t\t\t\tif (dirty & /*hasHeader*/ 2) {\n\t\t\t\t\t\ttransition_in(if_block0, 1);\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tif_block0 = create_if_block_2$4(ctx);\n\t\t\t\t\tif_block0.c();\n\t\t\t\t\ttransition_in(if_block0, 1);\n\t\t\t\t\tif_block0.m(t0.parentNode, t0);\n\t\t\t\t}\n\t\t\t} else if (if_block0) {\n\t\t\t\tgroup_outros();\n\n\t\t\t\ttransition_out(if_block0, 1, 1, () => {\n\t\t\t\t\tif_block0 = null;\n\t\t\t\t});\n\n\t\t\t\tcheck_outros();\n\t\t\t}\n\n\t\t\tif (main_slot) {\n\t\t\t\tif (main_slot.p && (!current || dirty & /*$$scope*/ 8)) {\n\t\t\t\t\tupdate_slot_base(\n\t\t\t\t\t\tmain_slot,\n\t\t\t\t\t\tmain_slot_template,\n\t\t\t\t\t\tctx,\n\t\t\t\t\t\t/*$$scope*/ ctx[3],\n\t\t\t\t\t\t!current\n\t\t\t\t\t\t? get_all_dirty_from_scope(/*$$scope*/ ctx[3])\n\t\t\t\t\t\t: get_slot_changes(main_slot_template, /*$$scope*/ ctx[3], dirty, get_main_slot_changes),\n\t\t\t\t\t\tget_main_slot_context\n\t\t\t\t\t);\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tif (/*hasFooter*/ ctx[2]) {\n\t\t\t\tif (if_block1) {\n\t\t\t\t\tif_block1.p(ctx, dirty);\n\n\t\t\t\t\tif (dirty & /*hasFooter*/ 4) {\n\t\t\t\t\t\ttransition_in(if_block1, 1);\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tif_block1 = create_if_block_1$5(ctx);\n\t\t\t\t\tif_block1.c();\n\t\t\t\t\ttransition_in(if_block1, 1);\n\t\t\t\t\tif_block1.m(t2.parentNode, t2);\n\t\t\t\t}\n\t\t\t} else if (if_block1) {\n\t\t\t\tgroup_outros();\n\n\t\t\t\ttransition_out(if_block1, 1, 1, () => {\n\t\t\t\t\tif_block1 = null;\n\t\t\t\t});\n\n\t\t\t\tcheck_outros();\n\t\t\t}\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(if_block0);\n\t\t\ttransition_in(main_slot_or_fallback, local);\n\t\t\ttransition_in(if_block1);\n\t\t\ttransition_in(if_block2);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(if_block0);\n\t\t\ttransition_out(main_slot_or_fallback, local);\n\t\t\ttransition_out(if_block1);\n\t\t\ttransition_out(if_block2);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (if_block0) if_block0.d(detaching);\n\t\t\tif (detaching) detach(t0);\n\t\t\tif (detaching) detach(div);\n\t\t\tif (main_slot_or_fallback) main_slot_or_fallback.d(detaching);\n\t\t\t/*div_binding*/ ctx[6](null);\n\t\t\tif (detaching) detach(t1);\n\t\t\tif (if_block1) if_block1.d(detaching);\n\t\t\tif (detaching) detach(t2);\n\t\t\tif (detaching) detach(if_block2_anchor);\n\t\t}\n\t};\n}\n\nfunction instance$t($$self, $$props, $$invalidate) {\n\tlet { $$slots: slots = {}, $$scope } = $$props;\n\tlet { hasHeader = !!$$props.$$slots.header } = $$props;\n\tlet { hasFooter = !!$$props.$$slots.footer } = $$props;\n\tlet { root = undefined } = $$props;\n\n\tfunction measure_handler(event) {\n\t\tbubble.call(this, $$self, event);\n\t}\n\n\tfunction div_binding($$value) {\n\t\tbinding_callbacks[$$value ? 'unshift' : 'push'](() => {\n\t\t\troot = $$value;\n\t\t\t$$invalidate(0, root);\n\t\t});\n\t}\n\n\t$$self.$$set = $$new_props => {\n\t\t$$invalidate(7, $$props = assign(assign({}, $$props), exclude_internal_props($$new_props)));\n\t\tif ('hasHeader' in $$new_props) $$invalidate(1, hasHeader = $$new_props.hasHeader);\n\t\tif ('hasFooter' in $$new_props) $$invalidate(2, hasFooter = $$new_props.hasFooter);\n\t\tif ('root' in $$new_props) $$invalidate(0, root = $$new_props.root);\n\t\tif ('$$scope' in $$new_props) $$invalidate(3, $$scope = $$new_props.$$scope);\n\t};\n\n\t$$props = exclude_internal_props($$props);\n\treturn [root, hasHeader, hasFooter, $$scope, slots, measure_handler, div_binding];\n}\n\nclass Util extends SvelteComponent {\n\tconstructor(options) {\n\t\tsuper();\n\t\tinit(this, options, instance$t, create_fragment$t, safe_not_equal, { hasHeader: 1, hasFooter: 2, root: 0 });\n\t}\n}\n\n/* src/core/ui/components/RangeInput.svelte generated by Svelte v3.52.0 */\n\nfunction create_if_block$6(ctx) {\n\tlet div;\n\tlet div_style_value;\n\n\treturn {\n\t\tc() {\n\t\t\tdiv = element(\"div\");\n\t\t\tattr(div, \"class\", \"PinturaRangeInputMeter\");\n\t\t\tattr(div, \"style\", div_style_value = `transform: translateX(${/*$position*/ ctx[9].x - /*svgPadding*/ ctx[11].x}px) translateY(${/*$position*/ ctx[9].y - /*svgPadding*/ ctx[11].y}px)`);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, div, anchor);\n\t\t\tdiv.innerHTML = /*svg*/ ctx[7];\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tif (dirty[0] & /*svg*/ 128) div.innerHTML = /*svg*/ ctx[7];\n\t\t\tif (dirty[0] & /*$position*/ 512 && div_style_value !== (div_style_value = `transform: translateX(${/*$position*/ ctx[9].x - /*svgPadding*/ ctx[11].x}px) translateY(${/*$position*/ ctx[9].y - /*svgPadding*/ ctx[11].y}px)`)) {\n\t\t\t\tattr(div, \"style\", div_style_value);\n\t\t\t}\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(div);\n\t\t}\n\t};\n}\n\nfunction create_fragment$s(ctx) {\n\tlet div1;\n\tlet span;\n\tlet t0;\n\tlet button;\n\tlet t1;\n\tlet button_disabled_value;\n\tlet t2;\n\tlet div0;\n\tlet interactable_action;\n\tlet mounted;\n\tlet dispose;\n\tlet if_block = /*$position*/ ctx[9] && create_if_block$6(ctx);\n\n\treturn {\n\t\tc() {\n\t\t\tdiv1 = element(\"div\");\n\t\t\tspan = element(\"span\");\n\t\t\tt0 = space();\n\t\t\tbutton = element(\"button\");\n\t\t\tt1 = text(/*labelReset*/ ctx[1]);\n\t\t\tt2 = space();\n\t\t\tdiv0 = element(\"div\");\n\t\t\tif (if_block) if_block.c();\n\t\t\tattr(span, \"class\", \"PinturaRangeInputValue\");\n\t\t\tattr(button, \"class\", \"PinturaRangeInputReset\");\n\t\t\tattr(button, \"type\", \"button\");\n\t\t\tbutton.disabled = button_disabled_value = /*value*/ ctx[0] === /*base*/ ctx[2];\n\t\t\tattr(div0, \"class\", \"PinturaRangeInputInner\");\n\t\t\tattr(div0, \"style\", /*rangeMask*/ ctx[8]);\n\t\t\tattr(div0, \"data-value-limited\", /*isLimited*/ ctx[5]);\n\t\t\tattr(div1, \"class\", \"PinturaRangeInput\");\n\t\t\tattr(div1, \"tabindex\", \"0\");\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, div1, anchor);\n\t\t\tappend(div1, span);\n\t\t\tspan.innerHTML = /*valueLabel*/ ctx[3];\n\t\t\tappend(div1, t0);\n\t\t\tappend(div1, button);\n\t\t\tappend(button, t1);\n\t\t\tappend(div1, t2);\n\t\t\tappend(div1, div0);\n\t\t\tif (if_block) if_block.m(div0, null);\n\n\t\t\tif (!mounted) {\n\t\t\t\tdispose = [\n\t\t\t\t\tlisten(button, \"click\", /*handleReset*/ ctx[16]),\n\t\t\t\t\tlisten(div0, \"interactionstart\", /*handleDragStart*/ ctx[12]),\n\t\t\t\t\tlisten(div0, \"interactionupdate\", /*handleDragMove*/ ctx[14]),\n\t\t\t\t\tlisten(div0, \"interactionend\", /*handleDragEnd*/ ctx[15]),\n\t\t\t\t\tlisten(div0, \"interactionrelease\", /*handleDragRelease*/ ctx[13]),\n\t\t\t\t\taction_destroyer(interactable_action = interactable.call(null, div0, { inertia: /*$isAnimated*/ ctx[6] })),\n\t\t\t\t\tlisten(div0, \"measure\", /*measure_handler*/ ctx[36]),\n\t\t\t\t\taction_destroyer(measurable.call(null, div0)),\n\t\t\t\t\tlisten(div1, \"wheel\", /*handleWheel*/ ctx[18], { passive: false }),\n\t\t\t\t\tlisten(div1, \"nudge\", /*handleNudge*/ ctx[19]),\n\t\t\t\t\taction_destroyer(nudgeable.call(null, div1, {\n\t\t\t\t\t\tdirection: 'horizontal',\n\t\t\t\t\t\tpreventDefault: true\n\t\t\t\t\t}))\n\t\t\t\t];\n\n\t\t\t\tmounted = true;\n\t\t\t}\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tif (dirty[0] & /*valueLabel*/ 8) span.innerHTML = /*valueLabel*/ ctx[3];\t\t\tif (dirty[0] & /*labelReset*/ 2) set_data(t1, /*labelReset*/ ctx[1]);\n\n\t\t\tif (dirty[0] & /*value, base*/ 5 && button_disabled_value !== (button_disabled_value = /*value*/ ctx[0] === /*base*/ ctx[2])) {\n\t\t\t\tbutton.disabled = button_disabled_value;\n\t\t\t}\n\n\t\t\tif (/*$position*/ ctx[9]) {\n\t\t\t\tif (if_block) {\n\t\t\t\t\tif_block.p(ctx, dirty);\n\t\t\t\t} else {\n\t\t\t\t\tif_block = create_if_block$6(ctx);\n\t\t\t\t\tif_block.c();\n\t\t\t\t\tif_block.m(div0, null);\n\t\t\t\t}\n\t\t\t} else if (if_block) {\n\t\t\t\tif_block.d(1);\n\t\t\t\tif_block = null;\n\t\t\t}\n\n\t\t\tif (dirty[0] & /*rangeMask*/ 256) {\n\t\t\t\tattr(div0, \"style\", /*rangeMask*/ ctx[8]);\n\t\t\t}\n\n\t\t\tif (dirty[0] & /*isLimited*/ 32) {\n\t\t\t\tattr(div0, \"data-value-limited\", /*isLimited*/ ctx[5]);\n\t\t\t}\n\n\t\t\tif (interactable_action && is_function(interactable_action.update) && dirty[0] & /*$isAnimated*/ 64) interactable_action.update.call(null, { inertia: /*$isAnimated*/ ctx[6] });\n\t\t},\n\t\ti: noop,\n\t\to: noop,\n\t\td(detaching) {\n\t\t\tif (detaching) detach(div1);\n\t\t\tif (if_block) if_block.d();\n\t\t\tmounted = false;\n\t\t\trun_all(dispose);\n\t\t}\n\t};\n}\n\nconst radiusBig = 2; // 2\nconst radiusSmall = 0.75; // .75\nconst indicatorSpacing = 10;\nconst indicatorInterval = 5;\nconst indicatorCount = 40; // must be even\n\nfunction instance$s($$self, $$props, $$invalidate) {\n\tlet range;\n\tlet valueMinLimited;\n\tlet valueMaxLimited;\n\tlet barSize;\n\tlet baseFraction;\n\tlet isLimited;\n\tlet rangeMask;\n\tlet $isAnimated;\n\tlet $position;\n\tlet { labelReset = 'Reset' } = $$props;\n\tlet { direction = 'x' } = $$props;\n\tlet { min = 0 } = $$props;\n\tlet { max = 1 } = $$props;\n\tlet { base = min } = $$props;\n\tlet { value = 0 } = $$props;\n\tlet { valueLabel = 0 } = $$props;\n\tlet { valueMin = undefined } = $$props;\n\tlet { valueMax = undefined } = $$props;\n\tlet { oninputstart = noop$1 } = $$props;\n\tlet { oninputmove = noop$1 } = $$props;\n\tlet { oninputend = noop$1 } = $$props;\n\tlet { elasticity = 0 } = $$props;\n\tlet { nudgeMultiplier = undefined } = $$props;\n\tlet { step = 8 } = $$props;\n\n\t//\n\t// context\n\t//\n\tconst isAnimated = getContext('isAnimated');\n\n\tcomponent_subscribe($$self, isAnimated, value => $$invalidate(6, $isAnimated = value));\n\tconst round = (number, increment, offset) => Math.ceil((number - offset) / increment) * increment + offset;\n\tlet size;\n\tlet svg;\n\tlet svgSize;\n\tconst svgPadding = { x: 2, y: 0 };\n\tconst createPathCircle = (cx, cy, r) => `M ${cx - r} ${cy} a ${r} ${r} 0 1 0 0 -1`;\n\n\tfunction getMask(limitedMin, limitedMax) {\n\t\tconst step = 1 / indicatorCount;\n\t\tconst from = toFraction(limitedMin, min, max);\n\t\tconst to = toFraction(limitedMax, min, max);\n\t\tconst fromSnapped = fixPrecision(round(from, step, 0) - step * 0.5);\n\t\tconst toSnapped = fixPrecision(round(to, step, 0) - step * 0.5);\n\t\treturn `--range-mask-from:${fromSnapped * 100}%;--range-mask-to:${toSnapped * 100}%`;\n\t}\n\n\t//\n\t// Dragging related\n\t//\n\tlet interactionOrigin = undefined;\n\n\tlet interactionReleased = false;\n\tlet interactionRange;\n\tlet interactionOptions = { snap: false, elastic: false };\n\n\tconst handleDragStart = () => {\n\t\tinteractionReleased = false;\n\t\tinteractionOrigin = get_store_value(position);\n\n\t\tinteractionRange = [\n\t\t\tvalueToPosition(valueMin != null ? valueMin : min, direction),\n\t\t\tvalueToPosition(valueMax != null ? valueMax : max, direction)\n\t\t];\n\n\t\toninputstart();\n\t};\n\n\tconst handleDragRelease = () => {\n\t\tinteractionReleased = true;\n\t};\n\n\tconst handleDragMove = ({ detail }) => {\n\t\tinteractionOptions.snap = !interactionReleased;\n\t\tinteractionOptions.elastic = !interactionReleased;\n\t\ttranslatePosition(interactionOrigin, detail.translation, interactionOptions);\n\t};\n\n\tconst handleDragEnd = ({ detail }) => {\n\t\tinteractionOptions.snap = false;\n\t\tinteractionOptions.elastic = false;\n\t\tconst valueAtPosition = translatePosition(interactionOrigin, detail.translation, interactionOptions);\n\t\tinteractionOrigin = undefined;\n\t\tinteractionRange = undefined;\n\n\t\t// if is near base position, set to base\n\t\tif (Math.abs(valueAtPosition - base) < 0.01) return oninputend(base);\n\n\t\toninputend(valueAtPosition);\n\t};\n\n\tconst translatePosition = (origin, translation, options) => {\n\t\tconst target = origin[direction] + translation[direction];\n\t\tconst targetLimited = clamp(target, interactionRange[1][direction], interactionRange[0][direction]);\n\n\t\tconst targetElastic = elasticity\n\t\t? targetLimited + elastify(target - targetLimited, elasticity)\n\t\t: targetLimited;\n\n\t\tconst targetVisual = options.elastic ? targetElastic : targetLimited;\n\n\t\t// set position\n\t\tconst targetValid = vectorCreate(0, 0);\n\n\t\ttargetValid[direction] = targetVisual;\n\t\tposition.set(targetValid, { hard: options.snap });\n\t\treturn clamp(positionToValue(targetValid, direction), min, max);\n\t};\n\n\tconst handleReset = () => {\n\t\t$$invalidate(0, value = clamp(base, valueMinLimited, valueMaxLimited));\n\t\toninputstart();\n\t\toninputend(value);\n\t};\n\n\t//\n\t// Meter position and value updates\n\t//\n\tconst position = spring();\n\n\tcomponent_subscribe($$self, position, value => $$invalidate(9, $position = value));\n\n\tconst valueToPosition = (value, axis) => {\n\t\tconst offset = (size[axis] - barSize[axis]) * 0.5;\n\t\tconst fraction = toFraction(value, min, max);\n\t\tconst v = fraction * barSize[axis] - barSize[axis] * 0.5;\n\t\tconst pos = offset - v;\n\n\t\treturn {\n\t\t\tx: axis === 'x' ? pos : 0,\n\t\t\ty: axis === 'y' ? pos : 0\n\t\t};\n\t};\n\n\tconst positionToValue = (position, axis) => {\n\t\tconst dist = position[axis] - size[axis] * 0.5;\n\t\tconst fraction = -(dist / barSize[axis]);\n\t\treturn min + fraction * range;\n\t};\n\n\tconst positionUnsub = position.subscribe(currentPosition => {\n\t\t// if not positioned yet or is not interacting we're not interested in this event\n\t\tif (!currentPosition || !interactionOrigin) return;\n\n\t\toninputmove(clamp(positionToValue(currentPosition, direction), min, max));\n\t});\n\n\tconst updatePosition = value => {\n\t\tconst interactionRange = [\n\t\t\tvalueToPosition(valueMin != null ? valueMin : min, direction),\n\t\t\tvalueToPosition(valueMax != null ? valueMax : max, direction)\n\t\t];\n\n\t\tconst target = {\n\t\t\tx: direction === 'x' ? $position.x + value : 0,\n\t\t\ty: direction === 'y' ? $position.y + value : 0\n\t\t};\n\n\t\tconst targetLimited = clamp(target[direction], interactionRange[1][direction], interactionRange[0][direction]);\n\t\tconst positionTarget = { ...$position, [direction]: targetLimited };\n\t\tset_store_value(position, $position = positionTarget, $position);\n\t\tconst result = clamp(positionToValue(positionTarget, direction), min, max);\n\t\toninputstart();\n\t\toninputmove(result);\n\t\toninputend(result);\n\t};\n\n\tconst handleWheel = e => {\n\t\t// don't run default actions, prevent other actions from running\n\t\te.preventDefault();\n\n\t\te.stopPropagation();\n\n\t\t// apply wheel delta to offset\n\t\tconst delta = getWheelDelta(e) * step;\n\n\t\tupdatePosition(delta);\n\t};\n\n\tconst handleNudge = ({ detail }) => {\n\t\tupdatePosition(detail[direction] * Math.abs(nudgeMultiplier || 8));\n\t};\n\n\tonDestroy(() => {\n\t\tpositionUnsub();\n\t});\n\n\tconst measure_handler = e => $$invalidate(4, size = vectorCreateFromSize(e.detail));\n\n\t$$self.$$set = $$props => {\n\t\tif ('labelReset' in $$props) $$invalidate(1, labelReset = $$props.labelReset);\n\t\tif ('direction' in $$props) $$invalidate(20, direction = $$props.direction);\n\t\tif ('min' in $$props) $$invalidate(21, min = $$props.min);\n\t\tif ('max' in $$props) $$invalidate(22, max = $$props.max);\n\t\tif ('base' in $$props) $$invalidate(2, base = $$props.base);\n\t\tif ('value' in $$props) $$invalidate(0, value = $$props.value);\n\t\tif ('valueLabel' in $$props) $$invalidate(3, valueLabel = $$props.valueLabel);\n\t\tif ('valueMin' in $$props) $$invalidate(23, valueMin = $$props.valueMin);\n\t\tif ('valueMax' in $$props) $$invalidate(24, valueMax = $$props.valueMax);\n\t\tif ('oninputstart' in $$props) $$invalidate(25, oninputstart = $$props.oninputstart);\n\t\tif ('oninputmove' in $$props) $$invalidate(26, oninputmove = $$props.oninputmove);\n\t\tif ('oninputend' in $$props) $$invalidate(27, oninputend = $$props.oninputend);\n\t\tif ('elasticity' in $$props) $$invalidate(28, elasticity = $$props.elasticity);\n\t\tif ('nudgeMultiplier' in $$props) $$invalidate(29, nudgeMultiplier = $$props.nudgeMultiplier);\n\t\tif ('step' in $$props) $$invalidate(30, step = $$props.step);\n\t};\n\n\t$$self.$$.update = () => {\n\t\tif ($$self.$$.dirty[0] & /*max, min*/ 6291456) {\n\t\t\t//\n\t\t\t// derived\n\t\t\t//\n\t\t\t$$invalidate(32, range = max - min);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*valueMin, min*/ 10485760) {\n\t\t\t$$invalidate(34, valueMinLimited = valueMin != null ? Math.max(valueMin, min) : min);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*valueMax, max*/ 20971520) {\n\t\t\t$$invalidate(33, valueMaxLimited = valueMax != null ? Math.min(valueMax, max) : max);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*base, min, max*/ 6291460) {\n\t\t\t$$invalidate(35, baseFraction = toFraction(base, min, max));\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*size*/ 16 | $$self.$$.dirty[1] & /*baseFraction*/ 16) {\n\t\t\tif (size) {\n\t\t\t\tconst centerY = size.y * 0.5;\n\t\t\t\tlet indicatorCenter = indicatorCount * baseFraction;\n\t\t\t\tlet d = '';\n\t\t\t\tlet svgWidth;\n\t\t\t\tlet svgHeight = size.y;\n\t\t\t\tlet centerShape = '';\n\n\t\t\t\tfor (let i = 0; i <= indicatorCount; i++) {\n\t\t\t\t\tconst x = svgPadding.x + i * indicatorSpacing;\n\t\t\t\t\tconst y = centerY;\n\t\t\t\t\tconst r = i % indicatorInterval === 0 ? radiusBig : radiusSmall;\n\t\t\t\t\td += createPathCircle(x, y, r) + ' ';\n\t\t\t\t\tsvgWidth = x + svgPadding.x;\n\n\t\t\t\t\tif (i === indicatorCenter) {\n\t\t\t\t\t\tcenterShape = `<path d=\"M${x} ${y - 4} l2 3 l-2 -1 l-2 1 z\"/>`;\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\t$$invalidate(7, svg = `<svg width=\"${svgWidth}\" height=\"${svgHeight}\" xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 ${svgWidth} ${svgHeight}\" aria-hidden=\"true\" focusable=\"false\">\n        ${centerShape}\n        <rect rx=\"4\" ry=\"4\" y=\"${centerY - 4}\"\" height=\"8\"/>\n        <path fill-rule=\"evenodd\" d=\"${d.trim()}\"/></svg>`);\n\n\t\t\t\t$$invalidate(31, svgSize = {\n\t\t\t\t\tx: svgWidth - svgPadding.x * 2,\n\t\t\t\t\ty: svgHeight\n\t\t\t\t});\n\t\t\t}\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*size*/ 16 | $$self.$$.dirty[1] & /*svgSize*/ 1) {\n\t\t\tbarSize = size && svgSize;\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*min, max*/ 6291456 | $$self.$$.dirty[1] & /*valueMinLimited, valueMaxLimited*/ 12) {\n\t\t\t$$invalidate(5, isLimited = valueMinLimited !== min || valueMaxLimited !== max);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*isLimited*/ 32 | $$self.$$.dirty[1] & /*valueMinLimited, valueMaxLimited*/ 12) {\n\t\t\t$$invalidate(8, rangeMask = isLimited\n\t\t\t? getMask(valueMinLimited, valueMaxLimited)\n\t\t\t: '');\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*size, value, direction, $isAnimated*/ 1048657 | $$self.$$.dirty[1] & /*range*/ 2) {\n\t\t\t// if has size (range is in here so the position is updated if the range is changed)\n\t\t\tif (range && size && size.x && size.y) {\n\t\t\t\tposition.set(valueToPosition(value, direction), { hard: $isAnimated === false });\n\t\t\t}\n\t\t}\n\t};\n\n\treturn [\n\t\tvalue,\n\t\tlabelReset,\n\t\tbase,\n\t\tvalueLabel,\n\t\tsize,\n\t\tisLimited,\n\t\t$isAnimated,\n\t\tsvg,\n\t\trangeMask,\n\t\t$position,\n\t\tisAnimated,\n\t\tsvgPadding,\n\t\thandleDragStart,\n\t\thandleDragRelease,\n\t\thandleDragMove,\n\t\thandleDragEnd,\n\t\thandleReset,\n\t\tposition,\n\t\thandleWheel,\n\t\thandleNudge,\n\t\tdirection,\n\t\tmin,\n\t\tmax,\n\t\tvalueMin,\n\t\tvalueMax,\n\t\toninputstart,\n\t\toninputmove,\n\t\toninputend,\n\t\telasticity,\n\t\tnudgeMultiplier,\n\t\tstep,\n\t\tsvgSize,\n\t\trange,\n\t\tvalueMaxLimited,\n\t\tvalueMinLimited,\n\t\tbaseFraction,\n\t\tmeasure_handler\n\t];\n}\n\nclass RangeInput extends SvelteComponent {\n\tconstructor(options) {\n\t\tsuper();\n\n\t\tinit(\n\t\t\tthis,\n\t\t\toptions,\n\t\t\tinstance$s,\n\t\t\tcreate_fragment$s,\n\t\t\tsafe_not_equal,\n\t\t\t{\n\t\t\t\tlabelReset: 1,\n\t\t\t\tdirection: 20,\n\t\t\t\tmin: 21,\n\t\t\t\tmax: 22,\n\t\t\t\tbase: 2,\n\t\t\t\tvalue: 0,\n\t\t\t\tvalueLabel: 3,\n\t\t\t\tvalueMin: 23,\n\t\t\t\tvalueMax: 24,\n\t\t\t\toninputstart: 25,\n\t\t\t\toninputmove: 26,\n\t\t\t\toninputend: 27,\n\t\t\t\telasticity: 28,\n\t\t\t\tnudgeMultiplier: 29,\n\t\t\t\tstep: 30\n\t\t\t},\n\t\t\tnull,\n\t\t\t[-1, -1]\n\t\t);\n\t}\n}\n\n/* src/core/ui/components/Toolbar.svelte generated by Svelte v3.52.0 */\n\nfunction create_fragment$r(ctx) {\n\tlet div1;\n\tlet div0;\n\tlet current;\n\tlet mounted;\n\tlet dispose;\n\tconst default_slot_template = /*#slots*/ ctx[7].default;\n\tconst default_slot = create_slot(default_slot_template, ctx, /*$$scope*/ ctx[6], null);\n\n\treturn {\n\t\tc() {\n\t\t\tdiv1 = element(\"div\");\n\t\t\tdiv0 = element(\"div\");\n\t\t\tif (default_slot) default_slot.c();\n\t\t\tattr(div0, \"class\", \"PinturaToolbarInner\");\n\t\t\tattr(div1, \"class\", \"PinturaToolbar\");\n\t\t\tattr(div1, \"data-layout\", /*layout*/ ctx[1]);\n\t\t\tattr(div1, \"data-overflow\", /*overflow*/ ctx[0]);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, div1, anchor);\n\t\t\tappend(div1, div0);\n\n\t\t\tif (default_slot) {\n\t\t\t\tdefault_slot.m(div0, null);\n\t\t\t}\n\n\t\t\tcurrent = true;\n\n\t\t\tif (!mounted) {\n\t\t\t\tdispose = [\n\t\t\t\t\tlisten(div0, \"measure\", /*handleChildResizeEvent*/ ctx[3]),\n\t\t\t\t\taction_destroyer(measurable.call(null, div0)),\n\t\t\t\t\tlisten(div1, \"measure\", /*handleParentResizeEvent*/ ctx[2]),\n\t\t\t\t\taction_destroyer(measurable.call(null, div1))\n\t\t\t\t];\n\n\t\t\t\tmounted = true;\n\t\t\t}\n\t\t},\n\t\tp(ctx, [dirty]) {\n\t\t\tif (default_slot) {\n\t\t\t\tif (default_slot.p && (!current || dirty & /*$$scope*/ 64)) {\n\t\t\t\t\tupdate_slot_base(\n\t\t\t\t\t\tdefault_slot,\n\t\t\t\t\t\tdefault_slot_template,\n\t\t\t\t\t\tctx,\n\t\t\t\t\t\t/*$$scope*/ ctx[6],\n\t\t\t\t\t\t!current\n\t\t\t\t\t\t? get_all_dirty_from_scope(/*$$scope*/ ctx[6])\n\t\t\t\t\t\t: get_slot_changes(default_slot_template, /*$$scope*/ ctx[6], dirty, null),\n\t\t\t\t\t\tnull\n\t\t\t\t\t);\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tif (!current || dirty & /*layout*/ 2) {\n\t\t\t\tattr(div1, \"data-layout\", /*layout*/ ctx[1]);\n\t\t\t}\n\n\t\t\tif (!current || dirty & /*overflow*/ 1) {\n\t\t\t\tattr(div1, \"data-overflow\", /*overflow*/ ctx[0]);\n\t\t\t}\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(default_slot, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(default_slot, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(div1);\n\t\t\tif (default_slot) default_slot.d(detaching);\n\t\t\tmounted = false;\n\t\t\trun_all(dispose);\n\t\t}\n\t};\n}\n\nfunction instance$r($$self, $$props, $$invalidate) {\n\tlet layout;\n\tlet { $$slots: slots = {}, $$scope } = $$props;\n\tlet childWidth = 0;\n\tlet childMaxWidth = 0;\n\tlet parentWidth = 0;\n\tlet overflow;\n\n\tconst testOverflow = () => {\n\t\t$$invalidate(0, overflow = layout === 'compact' && childWidth > parentWidth\n\t\t? 'overflow'\n\t\t: undefined);\n\t};\n\n\tconst handleParentResizeEvent = ({ detail }) => {\n\t\tconst { width } = detail;\n\t\t$$invalidate(5, parentWidth = width);\n\t\ttestOverflow();\n\t};\n\n\tconst handleChildResizeEvent = ({ detail }) => {\n\t\tconst { width } = detail;\n\n\t\tif (width > childMaxWidth) {\n\t\t\t$$invalidate(4, childMaxWidth = width);\n\t\t}\n\n\t\tchildWidth = width;\n\t\tif (!overflow) testOverflow();\n\t};\n\n\t$$self.$$set = $$props => {\n\t\tif ('$$scope' in $$props) $$invalidate(6, $$scope = $$props.$$scope);\n\t};\n\n\t$$self.$$.update = () => {\n\t\tif ($$self.$$.dirty & /*childMaxWidth, parentWidth*/ 48) {\n\t\t\t$$invalidate(1, layout = childMaxWidth > parentWidth ? 'compact' : 'default');\n\t\t}\n\t};\n\n\treturn [\n\t\toverflow,\n\t\tlayout,\n\t\thandleParentResizeEvent,\n\t\thandleChildResizeEvent,\n\t\tchildMaxWidth,\n\t\tparentWidth,\n\t\t$$scope,\n\t\tslots\n\t];\n}\n\nclass Toolbar extends SvelteComponent {\n\tconstructor(options) {\n\t\tsuper();\n\t\tinit(this, options, instance$r, create_fragment$r, safe_not_equal, {});\n\t}\n}\n\nvar DirectionRectMap = {\n    [Top]: (rect) => ({ x: rect.x, y: rect.y }),\n    [TopRight]: (rect) => ({ x: rect.x + rect.width, y: rect.y }),\n    [Right]: (rect) => ({ x: rect.x + rect.width, y: rect.y }),\n    [BottomRight]: (rect) => ({ x: rect.x + rect.width, y: rect.y + rect.height }),\n    [Bottom]: (rect) => ({ x: rect.x, y: rect.y + rect.height }),\n    [BottomLeft]: (rect) => ({ x: rect.x, y: rect.y + rect.height }),\n    [Left]: (rect) => ({ x: rect.x, y: rect.y }),\n    [TopLeft]: (rect) => ({ x: rect.x, y: rect.y }),\n};\n\n/* src/core/ui/components/RectManipulator.svelte generated by Svelte v3.52.0 */\n\nfunction get_each_context$5(ctx, list, i) {\n\tconst child_ctx = ctx.slice();\n\tchild_ctx[14] = list[i].key;\n\tchild_ctx[15] = list[i].translate;\n\tchild_ctx[16] = list[i].scale;\n\tchild_ctx[17] = list[i].type;\n\tchild_ctx[18] = list[i].opacity;\n\treturn child_ctx;\n}\n\n// (110:0) {#each mappedDirections as { key, translate, scale, type, opacity }\nfunction create_each_block$5(key_1, ctx) {\n\tlet div;\n\tlet div_aria_label_value;\n\tlet div_tabindex_value;\n\tlet div_data_direction_value;\n\tlet div_data_shape_value;\n\tlet div_style_value;\n\tlet mounted;\n\tlet dispose;\n\n\treturn {\n\t\tkey: key_1,\n\t\tfirst: null,\n\t\tc() {\n\t\t\tdiv = element(\"div\");\n\t\t\tattr(div, \"role\", \"button\");\n\t\t\tattr(div, \"aria-label\", div_aria_label_value = `Drag ${/*type*/ ctx[17]} ${/*key*/ ctx[14]}`);\n\t\t\tattr(div, \"tabindex\", div_tabindex_value = /*type*/ ctx[17] === 'edge' ? -1 : 0);\n\t\t\tattr(div, \"class\", \"PinturaRectManipulator\");\n\t\t\tattr(div, \"data-direction\", div_data_direction_value = /*key*/ ctx[14]);\n\n\t\t\tattr(div, \"data-shape\", div_data_shape_value = `${/*type*/ ctx[17] === 'edge'\n\t\t\t? 'edge'\n\t\t\t: `${/*style*/ ctx[0]}`}`);\n\n\t\t\tattr(div, \"style\", div_style_value = `--tx:${/*translate*/ ctx[15].x};--ty:${/*translate*/ ctx[15].y};--sx:${/*scale*/ ctx[16].x};--sy:${/*scale*/ ctx[16].y};opacity:${/*opacity*/ ctx[18]}`);\n\t\t\tthis.first = div;\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, div, anchor);\n\n\t\t\tif (!mounted) {\n\t\t\t\tdispose = [\n\t\t\t\t\tlisten(div, \"nudge\", function () {\n\t\t\t\t\t\tif (is_function(/*nudge*/ ctx[6](/*key*/ ctx[14]))) /*nudge*/ ctx[6](/*key*/ ctx[14]).apply(this, arguments);\n\t\t\t\t\t}),\n\t\t\t\t\taction_destroyer(nudgeable.call(null, div, { preventDefault: true })),\n\t\t\t\t\tlisten(div, \"interactionstart\", function () {\n\t\t\t\t\t\tif (is_function(/*route*/ ctx[5]('resizestart', /*key*/ ctx[14]))) /*route*/ ctx[5]('resizestart', /*key*/ ctx[14]).apply(this, arguments);\n\t\t\t\t\t}),\n\t\t\t\t\tlisten(div, \"interactionupdate\", function () {\n\t\t\t\t\t\tif (is_function(/*route*/ ctx[5]('resizemove', /*key*/ ctx[14]))) /*route*/ ctx[5]('resizemove', /*key*/ ctx[14]).apply(this, arguments);\n\t\t\t\t\t}),\n\t\t\t\t\tlisten(div, \"interactionend\", function () {\n\t\t\t\t\t\tif (is_function(/*route*/ ctx[5]('resizeend', /*key*/ ctx[14]))) /*route*/ ctx[5]('resizeend', /*key*/ ctx[14]).apply(this, arguments);\n\t\t\t\t\t}),\n\t\t\t\t\taction_destroyer(interactable.call(null, div))\n\t\t\t\t];\n\n\t\t\t\tmounted = true;\n\t\t\t}\n\t\t},\n\t\tp(new_ctx, dirty) {\n\t\t\tctx = new_ctx;\n\n\t\t\tif (dirty & /*mappedDirections*/ 2 && div_aria_label_value !== (div_aria_label_value = `Drag ${/*type*/ ctx[17]} ${/*key*/ ctx[14]}`)) {\n\t\t\t\tattr(div, \"aria-label\", div_aria_label_value);\n\t\t\t}\n\n\t\t\tif (dirty & /*mappedDirections*/ 2 && div_tabindex_value !== (div_tabindex_value = /*type*/ ctx[17] === 'edge' ? -1 : 0)) {\n\t\t\t\tattr(div, \"tabindex\", div_tabindex_value);\n\t\t\t}\n\n\t\t\tif (dirty & /*mappedDirections*/ 2 && div_data_direction_value !== (div_data_direction_value = /*key*/ ctx[14])) {\n\t\t\t\tattr(div, \"data-direction\", div_data_direction_value);\n\t\t\t}\n\n\t\t\tif (dirty & /*mappedDirections, style*/ 3 && div_data_shape_value !== (div_data_shape_value = `${/*type*/ ctx[17] === 'edge'\n\t\t\t? 'edge'\n\t\t\t: `${/*style*/ ctx[0]}`}`)) {\n\t\t\t\tattr(div, \"data-shape\", div_data_shape_value);\n\t\t\t}\n\n\t\t\tif (dirty & /*mappedDirections*/ 2 && div_style_value !== (div_style_value = `--tx:${/*translate*/ ctx[15].x};--ty:${/*translate*/ ctx[15].y};--sx:${/*scale*/ ctx[16].x};--sy:${/*scale*/ ctx[16].y};opacity:${/*opacity*/ ctx[18]}`)) {\n\t\t\t\tattr(div, \"style\", div_style_value);\n\t\t\t}\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(div);\n\t\t\tmounted = false;\n\t\t\trun_all(dispose);\n\t\t}\n\t};\n}\n\nfunction create_fragment$q(ctx) {\n\tlet each_blocks = [];\n\tlet each_1_lookup = new Map();\n\tlet each_1_anchor;\n\tlet each_value = /*mappedDirections*/ ctx[1];\n\tconst get_key = ctx => /*key*/ ctx[14];\n\n\tfor (let i = 0; i < each_value.length; i += 1) {\n\t\tlet child_ctx = get_each_context$5(ctx, each_value, i);\n\t\tlet key = get_key(child_ctx);\n\t\teach_1_lookup.set(key, each_blocks[i] = create_each_block$5(key, child_ctx));\n\t}\n\n\treturn {\n\t\tc() {\n\t\t\tfor (let i = 0; i < each_blocks.length; i += 1) {\n\t\t\t\teach_blocks[i].c();\n\t\t\t}\n\n\t\t\teach_1_anchor = empty();\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tfor (let i = 0; i < each_blocks.length; i += 1) {\n\t\t\t\teach_blocks[i].m(target, anchor);\n\t\t\t}\n\n\t\t\tinsert(target, each_1_anchor, anchor);\n\t\t},\n\t\tp(ctx, [dirty]) {\n\t\t\tif (dirty & /*mappedDirections, style, nudge, route*/ 99) {\n\t\t\t\teach_value = /*mappedDirections*/ ctx[1];\n\t\t\t\teach_blocks = update_keyed_each(each_blocks, dirty, get_key, 1, ctx, each_value, each_1_lookup, each_1_anchor.parentNode, destroy_block, create_each_block$5, each_1_anchor, get_each_context$5);\n\t\t\t}\n\t\t},\n\t\ti: noop,\n\t\to: noop,\n\t\td(detaching) {\n\t\t\tfor (let i = 0; i < each_blocks.length; i += 1) {\n\t\t\t\teach_blocks[i].d(detaching);\n\t\t\t}\n\n\t\t\tif (detaching) detach(each_1_anchor);\n\t\t}\n\t};\n}\n\nfunction instance$q($$self, $$props, $$invalidate) {\n\tlet mappedDirections;\n\tlet $selectionOpacity;\n\tlet $selectionScale;\n\tlet $isAnimated;\n\tlet { rect = null } = $$props;\n\tlet { visible = false } = $$props;\n\tlet { style = undefined } = $$props;\n\n\t// contex\n\tconst isAnimated = getContext('isAnimated');\n\n\tcomponent_subscribe($$self, isAnimated, value => $$invalidate(11, $isAnimated = value));\n\n\t// is `undefined` to prevent bounce when first rendering view\n\tconst selectionScale = spring(undefined, {\n\t\tprecision: 0.0001,\n\t\tstiffness: 0.2,\n\t\tdamping: 0.4\n\t});\n\n\tcomponent_subscribe($$self, selectionScale, value => $$invalidate(10, $selectionScale = value));\n\tconst selectionOpacity = spring(0, { precision: 0.001 });\n\tcomponent_subscribe($$self, selectionOpacity, value => $$invalidate(9, $selectionOpacity = value));\n\n\t//\n\t// dragging\n\t//\n\tlet currentDirection;\n\n\tconst dispatch = createEventDispatcher();\n\n\tconst route = (type, direction) => ({ detail }) => {\n\t\t// don't handle other interactions while manipulating on axis\n\t\tif (currentDirection && direction !== currentDirection) return;\n\n\t\t// ignore move and end events if no direction has been set\n\t\tif (type !== 'resizestart' && currentDirection === undefined) return;\n\n\t\t// set new direction\n\t\tif (type === 'resizestart') currentDirection = direction;\n\n\t\t// release direction\n\t\tif (type === 'resizeend') currentDirection = undefined;\n\n\t\tdispatch(type, {\n\t\t\tdirection,\n\t\t\ttranslation: detail && detail.translation\n\t\t});\n\t};\n\n\tconst nudge = direction => ({ detail }) => {\n\t\tdispatch(`resizestart`, { direction, translation: { x: 0, y: 0 } });\n\t\tdispatch(`resizemove`, { direction, translation: detail });\n\t\tdispatch(`resizeend`, { direction, translation: { x: 0, y: 0 } });\n\t};\n\n\t$$self.$$set = $$props => {\n\t\tif ('rect' in $$props) $$invalidate(7, rect = $$props.rect);\n\t\tif ('visible' in $$props) $$invalidate(8, visible = $$props.visible);\n\t\tif ('style' in $$props) $$invalidate(0, style = $$props.style);\n\t};\n\n\t$$self.$$.update = () => {\n\t\tif ($$self.$$.dirty & /*visible, $isAnimated*/ 2304) {\n\t\t\tselectionScale.set(visible ? 1 : 0.5, { hard: $isAnimated === false });\n\t\t}\n\n\t\tif ($$self.$$.dirty & /*visible, $isAnimated*/ 2304) {\n\t\t\tselectionOpacity.set(visible ? 1 : 0, { hard: $isAnimated === false });\n\t\t}\n\n\t\tif ($$self.$$.dirty & /*rect, $selectionScale, $selectionOpacity*/ 1664) {\n\t\t\t//\n\t\t\t// rendering\n\t\t\t//\n\t\t\t$$invalidate(1, mappedDirections = Object.keys(Direction).map((key, i) => {\n\t\t\t\t// get direction enum\n\t\t\t\tconst direction = Direction[key];\n\n\t\t\t\t// get position from direction\n\t\t\t\tconst position = DirectionRectMap[direction](rect);\n\n\t\t\t\t// corner or edge\n\t\t\t\tconst type = direction.length === 1 ? 'edge' : 'corner';\n\n\t\t\t\tconst isCorner = type === 'corner';\n\n\t\t\t\treturn {\n\t\t\t\t\tkey: direction,\n\t\t\t\t\ttype,\n\t\t\t\t\tscale: {\n\t\t\t\t\t\tx: (/^(t|b)$/).test(direction)\n\t\t\t\t\t\t? rect.width\n\t\t\t\t\t\t: isCorner ? clamp($selectionScale, 0.5, 1.25) : 1,\n\t\t\t\t\t\ty: (/^(r|l)$/).test(direction)\n\t\t\t\t\t\t? rect.height\n\t\t\t\t\t\t: isCorner ? clamp($selectionScale, 0.5, 1.25) : 1\n\t\t\t\t\t},\n\t\t\t\t\ttranslate: { x: position.x, y: position.y },\n\t\t\t\t\topacity: $selectionOpacity\n\t\t\t\t};\n\t\t\t}));\n\t\t}\n\t};\n\n\treturn [\n\t\tstyle,\n\t\tmappedDirections,\n\t\tisAnimated,\n\t\tselectionScale,\n\t\tselectionOpacity,\n\t\troute,\n\t\tnudge,\n\t\trect,\n\t\tvisible,\n\t\t$selectionOpacity,\n\t\t$selectionScale,\n\t\t$isAnimated\n\t];\n}\n\nclass RectManipulator extends SvelteComponent {\n\tconstructor(options) {\n\t\tsuper();\n\t\tinit(this, options, instance$q, create_fragment$q, safe_not_equal, { rect: 7, visible: 8, style: 0 });\n\t}\n}\n\nvar gesturable = (element) => {\n    function dispatch(type, detail) {\n        element.dispatchEvent(new CustomEvent(type, { detail }));\n    }\n    const handleGestureStart = (e) => {\n        e.preventDefault();\n        element.addEventListener('gesturechange', handleGestureChange);\n        element.addEventListener('gestureend', handleGestureEnd);\n        dispatch('gesturedown');\n    };\n    const handleGestureChange = (e) => {\n        e.preventDefault();\n        dispatch('gestureupdate', e.scale);\n    };\n    const handleGestureEnd = (e) => {\n        dispatch('gestureup', e.scale);\n        e.preventDefault();\n        clean();\n    };\n    const clean = () => {\n        element.removeEventListener('gesturechange', handleGestureChange);\n        element.removeEventListener('gestureend', handleGestureEnd);\n    };\n    element.addEventListener('gesturestart', handleGestureStart);\n    return {\n        destroy: () => {\n            clean();\n            element.removeEventListener('gesturestart', handleGestureStart);\n        },\n    };\n};\n\nvar DirectionInversionTable = {\n    [Top]: Bottom,\n    [Right]: Left,\n    [Bottom]: Top,\n    [Left]: Right,\n    [TopLeft]: BottomRight,\n    [TopRight]: BottomLeft,\n    [BottomRight]: TopLeft,\n    [BottomLeft]: TopRight,\n};\n\nvar getTranslationInfo = (target) => {\n    const translateToRight = target === Right || target === TopRight || target === BottomRight;\n    const translateToLeft = target === Left || target === BottomLeft || target === TopLeft;\n    const translateToTop = target === Top || target === TopRight || target === TopLeft;\n    const translateToBottom = target === Bottom || target === BottomRight || target === BottomLeft;\n    const translateHorizontally = target === Left || target === Right;\n    const translateVertically = target === Top || target === Bottom;\n    const translateAxis = translateHorizontally || translateVertically;\n    return [\n        translateToRight,\n        translateToLeft,\n        translateToTop,\n        translateToBottom,\n        translateHorizontally,\n        translateVertically,\n        translateAxis,\n    ];\n};\n\nvar limitRectDirectionTranslation = (rect, transform, bounds, options = {}) => {\n    // the transforms to apply\n    const { target, translate } = transform;\n    // the transform requirements\n    const { aspectRatio, minSize, maxSize } = options;\n    // get anchor coordinates and x,y position we need this for relative scaling of the view rectangle\n    const anchor = DirectionInversionTable[target];\n    const anchorDirectionCoordinates = DirectionCoordinateTable[anchor];\n    const anchorPosition = vectorAdd(vectorCreate(rect.x, rect.y), vectorCreate(anchorDirectionCoordinates[0] * rect.width, anchorDirectionCoordinates[1] * rect.height));\n    // get coordinate of direction\n    const targetDirectionCoordinates = DirectionCoordinateTable[target];\n    const targetPosition = vectorAdd(rectClone$1(rect), vectorCreate(targetDirectionCoordinates[0] * rect.width, targetDirectionCoordinates[1] * rect.height));\n    // bools to determine which direction the interaction is moving in\n    const [translateToRight, translateToLeft, translateToTop, translateToBottom, translateHorizontally, translateVertically, translateAxis,] = getTranslationInfo(target);\n    let tx = translate.x;\n    let ty = translate.y;\n    if (translateHorizontally)\n        ty = 0;\n    else if (translateVertically)\n        tx = 0;\n    const { inner: innerBounds, outer: outerBounds } = getInteractionBounds(anchorPosition, target, bounds, {\n        aspectRatio,\n        minSize,\n        maxSize,\n    });\n    // current bounds\n    let [t, r, b, l] = rectToBounds(rect);\n    // update view bounds with anchor based on translation direction (one side is always locked)\n    if (translateToRight)\n        l = anchorPosition.x;\n    else if (translateToLeft)\n        r = anchorPosition.x;\n    if (translateToBottom)\n        t = anchorPosition.y;\n    else if (translateToTop)\n        b = anchorPosition.y;\n    // update view bounds with interaction limits\n    if (translateToRight) {\n        const innerR = innerBounds.x + innerBounds.width;\n        const outerR = outerBounds.x + outerBounds.width;\n        r = clamp(targetPosition.x + tx, innerR, outerR);\n    }\n    else if (translateToLeft) {\n        const innerL = outerBounds.x;\n        const outerL = innerBounds.x;\n        l = clamp(targetPosition.x + tx, innerL, outerL);\n    }\n    if (translateToBottom) {\n        const innerB = innerBounds.y + innerBounds.height;\n        const outerB = outerBounds.y + outerBounds.height;\n        b = clamp(targetPosition.y + ty, innerB, outerB);\n    }\n    else if (translateToTop) {\n        const innerT = outerBounds.y;\n        const outerT = innerBounds.y;\n        t = clamp(targetPosition.y + ty, innerT, outerT);\n    }\n    // min size is respected\n    if (l > innerBounds.x) {\n        l = innerBounds.x;\n    }\n    if (r < innerBounds.x + innerBounds.width) {\n        r = innerBounds.x + innerBounds.width;\n    }\n    if (t > innerBounds.y) {\n        t = innerBounds.y;\n    }\n    if (b < innerBounds.y + innerBounds.height) {\n        b = innerBounds.y + innerBounds.height;\n    }\n    // max size is respected\n    if (l < outerBounds.x) {\n        const dx = outerBounds.x - l;\n        l = outerBounds.x;\n        r += dx;\n    }\n    if (r > outerBounds.x + outerBounds.width) {\n        const dx = r - (outerBounds.x + outerBounds.width);\n        r = outerBounds.x + outerBounds.width;\n        l -= dx;\n    }\n    if (t < outerBounds.y) {\n        const dy = outerBounds.y - t;\n        t = outerBounds.y;\n        b += dy;\n    }\n    if (b > outerBounds.y + outerBounds.height) {\n        const dy = b - (outerBounds.y + outerBounds.height);\n        b = outerBounds.y + outerBounds.height;\n        t -= dy;\n    }\n    // if aspect ratio is set we need to scale both axis\n    if (aspectRatio) {\n        // if translating over horizontal or vertical axis we need to update the other axis based on the aspect ratio as well\n        if (translateAxis) {\n            let dx = r - l;\n            let dy = b - t;\n            if (translateHorizontally) {\n                dy = dx / aspectRatio;\n                t = anchorPosition.y - dy * 0.5;\n                b = anchorPosition.y + dy * 0.5;\n            }\n            else if (translateVertically) {\n                dx = dy * aspectRatio;\n                l = anchorPosition.x - dx * 0.5;\n                r = anchorPosition.x + dx * 0.5;\n            }\n        }\n        // we're translating one of the corners in both the x and y direction, need to make sure it conforms to aspect ratio\n        else {\n            const pointer = vectorCreate(targetPosition.x + tx - anchorPosition.x, targetPosition.y + ty - anchorPosition.y);\n            // translations cannot be inverted, limited by anchor position\n            if (target === TopRight) {\n                pointer.x = Math.max(0, pointer.x);\n                pointer.y = Math.min(0, pointer.y);\n            }\n            else if (target === BottomRight) {\n                pointer.x = Math.max(0, pointer.x);\n                pointer.y = Math.max(0, pointer.y);\n            }\n            else if (target === BottomLeft) {\n                pointer.x = Math.min(0, pointer.x);\n                pointer.y = Math.max(0, pointer.y);\n            }\n            else if (target === TopLeft) {\n                pointer.x = Math.min(0, pointer.x);\n                pointer.y = Math.min(0, pointer.y);\n            }\n            // calculate the translation pointer, then get its length, now create a new pointer based on the aspect ratio, and scale it based on the original (limited) length\n            const pointerLength = vectorLength(pointer);\n            const pointerLengthMin = vectorLength(vectorCreate(innerBounds.width, innerBounds.height));\n            const pointerLengthMax = vectorLength(vectorCreate(outerBounds.width, outerBounds.height));\n            const pointerLengthLimited = clamp(pointerLength, pointerLengthMin, pointerLengthMax);\n            const pointerAspectRatio = vectorCreate(aspectRatio, 1);\n            const pointerScaled = vectorMultiply(vectorNormalize(pointerAspectRatio), pointerLengthLimited);\n            if (target === TopRight) {\n                r = anchorPosition.x + pointerScaled.x;\n                t = anchorPosition.y - pointerScaled.y;\n            }\n            else if (target === BottomRight) {\n                r = anchorPosition.x + pointerScaled.x;\n                b = anchorPosition.y + pointerScaled.y;\n            }\n            else if (target === BottomLeft) {\n                l = anchorPosition.x - pointerScaled.x;\n                b = anchorPosition.y + pointerScaled.y;\n            }\n            else if (target === TopLeft) {\n                l = anchorPosition.x - pointerScaled.x;\n                t = anchorPosition.y - pointerScaled.y;\n            }\n        }\n    }\n    return rectCreate(l, t, r - l, b - t);\n};\nconst getInteractionBounds = (anchor, dir, bounds, options) => {\n    const { aspectRatio, minSize, maxSize } = options;\n    const translateToRight = dir === Right || dir === TopRight || dir === BottomRight;\n    const translateToLeft = dir === Left || dir === BottomLeft || dir === TopLeft;\n    const translateToTop = dir === Top || dir === TopRight || dir === TopLeft;\n    const translateToBottom = dir === Bottom || dir === BottomRight || dir === BottomLeft;\n    const translateHorizontally = dir === Left || dir === Right;\n    const translateVertically = dir === Top || dir === Bottom;\n    // limit bounds based on anchor and direction\n    const limitedBounds = rectClone$1(bounds);\n    if (translateToRight) {\n        limitedBounds.x = anchor.x;\n        limitedBounds.width -= anchor.x;\n    }\n    else if (translateToLeft) {\n        limitedBounds.width = anchor.x;\n    }\n    if (translateToBottom) {\n        limitedBounds.y = anchor.y;\n        limitedBounds.height -= anchor.y;\n    }\n    else if (translateToTop) {\n        limitedBounds.height = anchor.y;\n    }\n    // limit max size based on bounds\n    const maxSizeLimitedToBounds = rectCreateFromDimensions(Math.min(limitedBounds.width, maxSize.width), Math.min(limitedBounds.height, maxSize.height));\n    if (aspectRatio) {\n        // limit height\n        if (translateHorizontally) {\n            const verticalSpace = Math.min(anchor.y, bounds.height - anchor.y);\n            maxSizeLimitedToBounds.height = Math.min(verticalSpace * 2, maxSizeLimitedToBounds.height);\n        }\n        // limit width\n        else if (translateVertically) {\n            const horizontalSpace = Math.min(anchor.x, bounds.width - anchor.x);\n            maxSizeLimitedToBounds.width = Math.min(horizontalSpace * 2, maxSizeLimitedToBounds.width);\n        }\n    }\n    const minSizeLimited = aspectRatio\n        ? sizeCreateFromRect(rectCoverRect(rectCreateFromSize(minSize), aspectRatio))\n        : minSize;\n    const maxSizeLimited = aspectRatio\n        ? sizeCreateFromRect(rectContainRect(maxSizeLimitedToBounds, aspectRatio))\n        : maxSizeLimitedToBounds;\n    let l, r, t, b;\n    // set bounds\n    if (translateToRight)\n        l = anchor.x;\n    else if (translateToLeft)\n        r = anchor.x;\n    if (translateToBottom)\n        t = anchor.y;\n    else if (translateToTop)\n        b = anchor.y;\n    // inner\n    if (translateToRight) {\n        r = l + minSizeLimited.width;\n    }\n    else if (translateToLeft) {\n        l = r - minSizeLimited.width;\n    }\n    if (translateToBottom) {\n        b = t + minSizeLimited.height;\n    }\n    else if (translateToTop) {\n        t = b - minSizeLimited.height;\n    }\n    if (translateHorizontally) {\n        t = anchor.y - minSizeLimited.height * 0.5;\n        b = anchor.y + minSizeLimited.height * 0.5;\n    }\n    else if (translateVertically) {\n        l = anchor.x - minSizeLimited.width * 0.5;\n        r = anchor.x + minSizeLimited.width * 0.5;\n    }\n    const inner = rectCreateFromPoints([vectorCreate(l, t), vectorCreate(r, b)]);\n    // outer\n    if (translateToRight) {\n        r = l + maxSizeLimited.width;\n    }\n    else if (translateToLeft) {\n        l = r - maxSizeLimited.width;\n    }\n    if (translateToBottom) {\n        b = t + maxSizeLimited.height;\n    }\n    else if (translateToTop) {\n        t = b - maxSizeLimited.height;\n    }\n    if (translateHorizontally) {\n        t = anchor.y - maxSizeLimited.height * 0.5;\n        b = anchor.y + maxSizeLimited.height * 0.5;\n    }\n    else if (translateVertically) {\n        l = anchor.x - maxSizeLimited.width * 0.5;\n        r = anchor.x + maxSizeLimited.width * 0.5;\n    }\n    // limit outer to stage\n    l = Math.max(bounds.x, l);\n    r = Math.min(bounds.x + bounds.width, r);\n    t = Math.max(bounds.y, t);\n    b = Math.min(bounds.y + bounds.height, b);\n    const outer = rectCreateFromPoints([vectorCreate(l, t), vectorCreate(r, b)]);\n    // hud(bounds).purple();\n    return {\n        inner,\n        outer,\n    };\n};\n\nvar applyRectDirectionTranslation = (rect, transform, options = {}) => {\n    // the transforms to apply\n    const { target, translate } = transform;\n    // the transform requirements\n    const { aspectRatio, minSize } = options;\n    // get anchor coordinates and x,y position we need this for relative scaling of the view rectangle\n    const anchor = DirectionInversionTable[target];\n    const anchorDirectionCoordinates = DirectionCoordinateTable[anchor];\n    const anchorPosition = vectorAdd(rectClone$1(rect), vectorCreate(anchorDirectionCoordinates[0] * rect.width, anchorDirectionCoordinates[1] * rect.height));\n    // get coordinate of direction\n    const targetDirectionCoordinates = DirectionCoordinateTable[target];\n    const targetPosition = vectorAdd(rectClone$1(rect), vectorCreate(targetDirectionCoordinates[0] * rect.width, targetDirectionCoordinates[1] * rect.height));\n    // bools to determine which direction the interaction is moving in\n    const [translateToRight, translateToLeft, translateToTop, translateToBottom, translateHorizontally, translateVertically, translateAxis,] = getTranslationInfo(target);\n    let tx = translate.x;\n    let ty = translate.y;\n    if (translateHorizontally)\n        ty = 0;\n    else if (translateVertically)\n        tx = 0;\n    // current bounds\n    let [t, r, b, l] = rectToBounds(rect);\n    // update view bounds with anchor based on translation direction (one side is always locked)\n    if (translateToRight)\n        l = anchorPosition.x;\n    else if (translateToLeft)\n        r = anchorPosition.x;\n    if (translateToBottom)\n        t = anchorPosition.y;\n    else if (translateToTop)\n        b = anchorPosition.y;\n    // update view bounds with interaction limits\n    if (translateToRight) {\n        r = targetPosition.x + tx;\n    }\n    else if (translateToLeft) {\n        l = targetPosition.x + tx;\n    }\n    if (translateToBottom) {\n        b = targetPosition.y + ty;\n    }\n    else if (translateToTop) {\n        t = targetPosition.y + ty;\n    }\n    if (minSize && translateHorizontally && b - t < minSize.height) {\n        const dy = minSize.height - (b - t);\n        t -= dy * 0.5;\n        b += dy * 0.5;\n    }\n    // make sure min size is respected\n    if (minSize && translateVertically && r - l < minSize.width) {\n        const dx = minSize.width - (r - l);\n        l -= dx * 0.5;\n        r += dx * 0.5;\n    }\n    // if aspect ratio is set we need to scale both axis\n    if (aspectRatio) {\n        // if translating over horizontal or vertical axis we need to update the other axis based on the aspect ratio as well\n        if (translateAxis) {\n            let dx = r - l;\n            let dy = b - t;\n            if (translateHorizontally) {\n                dy = dx / aspectRatio;\n                t = anchorPosition.y - dy * 0.5;\n                b = anchorPosition.y + dy * 0.5;\n            }\n            else if (translateVertically) {\n                dx = dy * aspectRatio;\n                l = anchorPosition.x - dx * 0.5;\n                r = anchorPosition.x + dx * 0.5;\n            }\n        }\n        // we're translating one of the corners in both the x and y direction, need to make sure it conforms to aspect ratio\n        else {\n            const pointer = vectorCreate(targetPosition.x + tx - anchorPosition.x, targetPosition.y + ty - anchorPosition.y);\n            // translations cannot be inverted, limited by anchor position\n            if (target === TopRight) {\n                pointer.x = Math.max(0, pointer.x);\n                pointer.y = Math.min(0, pointer.y);\n            }\n            else if (target === BottomRight) {\n                pointer.x = Math.max(0, pointer.x);\n                pointer.y = Math.max(0, pointer.y);\n            }\n            else if (target === BottomLeft) {\n                pointer.x = Math.min(0, pointer.x);\n                pointer.y = Math.max(0, pointer.y);\n            }\n            else if (target === TopLeft) {\n                pointer.x = Math.min(0, pointer.x);\n                pointer.y = Math.min(0, pointer.y);\n            }\n            // calculate the translation pointer, then get its length, now create a new pointer based on the aspect ratio, and scale it based on the original (limited) length\n            const pointerLength = vectorLength(pointer);\n            const pointerAspectRatio = vectorCreate(aspectRatio, 1);\n            const pointerScaled = vectorMultiply(vectorNormalize(pointerAspectRatio), pointerLength);\n            if (target === TopRight) {\n                r = anchorPosition.x + pointerScaled.x;\n                t = anchorPosition.y - pointerScaled.y;\n            }\n            else if (target === BottomRight) {\n                r = anchorPosition.x + pointerScaled.x;\n                b = anchorPosition.y + pointerScaled.y;\n            }\n            else if (target === BottomLeft) {\n                l = anchorPosition.x - pointerScaled.x;\n                b = anchorPosition.y + pointerScaled.y;\n            }\n            else if (target === TopLeft) {\n                l = anchorPosition.x - pointerScaled.x;\n                t = anchorPosition.y - pointerScaled.y;\n            }\n        }\n    }\n    return rectCreate(l, t, r - l, b - t);\n};\n\nvar radToDeg = (rad) => rad * 180 / Math.PI;\n\n/* src/core/ui/plugins/crop/components/ImageRotator.svelte generated by Svelte v3.52.0 */\n\nfunction create_fragment$p(ctx) {\n\tlet div;\n\tlet rangeinput;\n\tlet current;\n\n\trangeinput = new RangeInput({\n\t\t\tprops: {\n\t\t\t\telasticity: /*elasticity*/ ctx[5],\n\t\t\t\tmin: /*min*/ ctx[9],\n\t\t\t\tmax: /*max*/ ctx[10],\n\t\t\t\tvalue: /*value*/ ctx[11],\n\t\t\t\tvalueMin: Math.max(/*min*/ ctx[9], /*valueMin*/ ctx[0]),\n\t\t\t\tvalueMax: Math.min(/*max*/ ctx[10], /*valueMax*/ ctx[1]),\n\t\t\t\tlabelReset: /*labelReset*/ ctx[6],\n\t\t\t\tbase: /*center*/ ctx[12],\n\t\t\t\tvalueLabel: `${Math.round(radToDeg(/*value*/ ctx[11]))}&deg;`,\n\t\t\t\toninputstart: /*oninputstart*/ ctx[2],\n\t\t\t\toninputmove: /*func*/ ctx[17],\n\t\t\t\toninputend: /*func_1*/ ctx[18]\n\t\t\t}\n\t\t});\n\n\treturn {\n\t\tc() {\n\t\t\tdiv = element(\"div\");\n\t\t\tcreate_component(rangeinput.$$.fragment);\n\t\t\tattr(div, \"class\", \"PinturaImageRotator\");\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, div, anchor);\n\t\t\tmount_component(rangeinput, div, null);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, [dirty]) {\n\t\t\tconst rangeinput_changes = {};\n\t\t\tif (dirty & /*elasticity*/ 32) rangeinput_changes.elasticity = /*elasticity*/ ctx[5];\n\t\t\tif (dirty & /*min*/ 512) rangeinput_changes.min = /*min*/ ctx[9];\n\t\t\tif (dirty & /*max*/ 1024) rangeinput_changes.max = /*max*/ ctx[10];\n\t\t\tif (dirty & /*value*/ 2048) rangeinput_changes.value = /*value*/ ctx[11];\n\t\t\tif (dirty & /*min, valueMin*/ 513) rangeinput_changes.valueMin = Math.max(/*min*/ ctx[9], /*valueMin*/ ctx[0]);\n\t\t\tif (dirty & /*max, valueMax*/ 1026) rangeinput_changes.valueMax = Math.min(/*max*/ ctx[10], /*valueMax*/ ctx[1]);\n\t\t\tif (dirty & /*labelReset*/ 64) rangeinput_changes.labelReset = /*labelReset*/ ctx[6];\n\t\t\tif (dirty & /*center*/ 4096) rangeinput_changes.base = /*center*/ ctx[12];\n\t\t\tif (dirty & /*value*/ 2048) rangeinput_changes.valueLabel = `${Math.round(radToDeg(/*value*/ ctx[11]))}&deg;`;\n\t\t\tif (dirty & /*oninputstart*/ 4) rangeinput_changes.oninputstart = /*oninputstart*/ ctx[2];\n\t\t\tif (dirty & /*oninputmove, sign, turns*/ 392) rangeinput_changes.oninputmove = /*func*/ ctx[17];\n\t\t\tif (dirty & /*oninputend, sign, turns*/ 400) rangeinput_changes.oninputend = /*func_1*/ ctx[18];\n\t\t\trangeinput.$set(rangeinput_changes);\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(rangeinput.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(rangeinput.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(div);\n\t\t\tdestroy_component(rangeinput);\n\t\t}\n\t};\n}\n\nconst MARGIN = 0.000000001;\n\nfunction instance$p($$self, $$props, $$invalidate) {\n\tlet min;\n\tlet max;\n\tlet center;\n\tlet range;\n\tlet sign;\n\tlet turns;\n\tlet value;\n\tlet { rotation } = $$props;\n\tlet { valueMin } = $$props;\n\tlet { valueMax } = $$props;\n\tlet { oninputstart = noop$1 } = $$props;\n\tlet { oninputmove = noop$1 } = $$props;\n\tlet { oninputend = noop$1 } = $$props;\n\tlet { elasticity = 0 } = $$props;\n\tlet { labelReset = undefined } = $$props;\n\tlet { rotationMin = undefined } = $$props;\n\tlet { rotationMax = undefined } = $$props;\n\tconst func = value => oninputmove(sign * turns + value);\n\tconst func_1 = value => oninputend(sign * turns + value);\n\n\t$$self.$$set = $$props => {\n\t\tif ('rotation' in $$props) $$invalidate(13, rotation = $$props.rotation);\n\t\tif ('valueMin' in $$props) $$invalidate(0, valueMin = $$props.valueMin);\n\t\tif ('valueMax' in $$props) $$invalidate(1, valueMax = $$props.valueMax);\n\t\tif ('oninputstart' in $$props) $$invalidate(2, oninputstart = $$props.oninputstart);\n\t\tif ('oninputmove' in $$props) $$invalidate(3, oninputmove = $$props.oninputmove);\n\t\tif ('oninputend' in $$props) $$invalidate(4, oninputend = $$props.oninputend);\n\t\tif ('elasticity' in $$props) $$invalidate(5, elasticity = $$props.elasticity);\n\t\tif ('labelReset' in $$props) $$invalidate(6, labelReset = $$props.labelReset);\n\t\tif ('rotationMin' in $$props) $$invalidate(14, rotationMin = $$props.rotationMin);\n\t\tif ('rotationMax' in $$props) $$invalidate(15, rotationMax = $$props.rotationMax);\n\t};\n\n\t$$self.$$.update = () => {\n\t\tif ($$self.$$.dirty & /*rotationMin*/ 16384) {\n\t\t\t$$invalidate(9, min = rotationMin + MARGIN);\n\t\t}\n\n\t\tif ($$self.$$.dirty & /*rotationMax*/ 32768) {\n\t\t\t$$invalidate(10, max = rotationMax - MARGIN);\n\t\t}\n\n\t\tif ($$self.$$.dirty & /*min, max*/ 1536) {\n\t\t\t$$invalidate(12, center = min + (max - min) * 0.5);\n\t\t}\n\n\t\tif ($$self.$$.dirty & /*rotationMax*/ 32768) {\n\t\t\t$$invalidate(16, range = rotationMax * 2);\n\t\t}\n\n\t\tif ($$self.$$.dirty & /*rotation*/ 8192) {\n\t\t\t$$invalidate(8, sign = Math.sign(rotation));\n\t\t}\n\n\t\tif ($$self.$$.dirty & /*rotation, range*/ 73728) {\n\t\t\t$$invalidate(7, turns = Math.round(Math.abs(rotation) / range) * range);\n\t\t}\n\n\t\tif ($$self.$$.dirty & /*rotation, sign, turns*/ 8576) {\n\t\t\t$$invalidate(11, value = rotation - sign * turns);\n\t\t}\n\t};\n\n\treturn [\n\t\tvalueMin,\n\t\tvalueMax,\n\t\toninputstart,\n\t\toninputmove,\n\t\toninputend,\n\t\telasticity,\n\t\tlabelReset,\n\t\tturns,\n\t\tsign,\n\t\tmin,\n\t\tmax,\n\t\tvalue,\n\t\tcenter,\n\t\trotation,\n\t\trotationMin,\n\t\trotationMax,\n\t\trange,\n\t\tfunc,\n\t\tfunc_1\n\t];\n}\n\nclass ImageRotator extends SvelteComponent {\n\tconstructor(options) {\n\t\tsuper();\n\n\t\tinit(this, options, instance$p, create_fragment$p, safe_not_equal, {\n\t\t\trotation: 13,\n\t\t\tvalueMin: 0,\n\t\t\tvalueMax: 1,\n\t\t\toninputstart: 2,\n\t\t\toninputmove: 3,\n\t\t\toninputend: 4,\n\t\t\telasticity: 5,\n\t\t\tlabelReset: 6,\n\t\t\trotationMin: 14,\n\t\t\trotationMax: 15\n\t\t});\n\t}\n}\n\n/* src/core/ui/plugins/crop/components/ImageInfo.svelte generated by Svelte v3.52.0 */\n\nfunction create_fragment$o(ctx) {\n\tlet div;\n\tlet p;\n\tlet t0;\n\tlet t1;\n\tlet t2;\n\n\treturn {\n\t\tc() {\n\t\t\tdiv = element(\"div\");\n\t\t\tp = element(\"p\");\n\t\t\tt0 = text(/*width*/ ctx[0]);\n\t\t\tt1 = text(\" × \");\n\t\t\tt2 = text(/*height*/ ctx[1]);\n\t\t\tattr(div, \"class\", \"PinturaImageInfo\");\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, div, anchor);\n\t\t\tappend(div, p);\n\t\t\tappend(p, t0);\n\t\t\tappend(p, t1);\n\t\t\tappend(p, t2);\n\t\t},\n\t\tp(ctx, [dirty]) {\n\t\t\tif (dirty & /*width*/ 1) set_data(t0, /*width*/ ctx[0]);\n\t\t\tif (dirty & /*height*/ 2) set_data(t2, /*height*/ ctx[1]);\n\t\t},\n\t\ti: noop,\n\t\to: noop,\n\t\td(detaching) {\n\t\t\tif (detaching) detach(div);\n\t\t}\n\t};\n}\n\nfunction instance$o($$self, $$props, $$invalidate) {\n\tlet { width } = $$props;\n\tlet { height } = $$props;\n\n\t$$self.$$set = $$props => {\n\t\tif ('width' in $$props) $$invalidate(0, width = $$props.width);\n\t\tif ('height' in $$props) $$invalidate(1, height = $$props.height);\n\t};\n\n\treturn [width, height];\n}\n\nclass ImageInfo extends SvelteComponent {\n\tconstructor(options) {\n\t\tsuper();\n\t\tinit(this, options, instance$o, create_fragment$o, safe_not_equal, { width: 0, height: 1 });\n\t}\n}\n\nvar getSelectionPresetOptionIcon = (value, options = {}) => {\n    const { width = 24, height = 24, bounds = 16, radius = 3 } = options;\n    let aspectRatio = isArray(value) ? getAspectRatio(value[0], value[1]) : value;\n    let aspectRatioDefined = !!aspectRatio;\n    aspectRatio = aspectRatioDefined ? aspectRatio : 1;\n    let x;\n    let y;\n    let w;\n    let h;\n    w = aspectRatio > 1 ? bounds : aspectRatio * bounds;\n    h = w / aspectRatio;\n    x = Math.round((width - w) * 0.5);\n    y = Math.round((height - h) * 0.5);\n    const fill = aspectRatioDefined ? 'currentColor' : 'none';\n    const stroke = aspectRatioDefined ? 'none' : 'currentColor';\n    const strokeWidth = width / 16;\n    const strokeDashArray = [width / 12, width / 6].join(' ');\n    return `<rect fill=\"${fill}\" stroke=\"${stroke}\" stroke-width=\"${strokeWidth}\" stroke-dasharray=\"${strokeDashArray}\" x=\"${x}\" y=\"${y}\" width=\"${w}\" height=\"${h}\" rx=\"${radius}\"/>`;\n};\n\n/* src/core/ui/plugins/crop/components/CropPresetList.svelte generated by Svelte v3.52.0 */\n\nfunction create_controls_slot(ctx) {\n\tlet radiogroup;\n\tlet current;\n\n\tradiogroup = new RadioGroup({\n\t\t\tprops: {\n\t\t\t\tclass: \"PinturaPresetListFilter\",\n\t\t\t\tlayout: \"row\",\n\t\t\t\toptions: /*filterOptions*/ ctx[8],\n\t\t\t\tselectedIndex: /*selectedFilterIndex*/ ctx[7],\n\t\t\t\tonchange: /*handleChangeFilter*/ ctx[10]\n\t\t\t}\n\t\t});\n\n\treturn {\n\t\tc() {\n\t\t\tcreate_component(radiogroup.$$.fragment);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tmount_component(radiogroup, target, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tconst radiogroup_changes = {};\n\t\t\tif (dirty & /*filterOptions*/ 256) radiogroup_changes.options = /*filterOptions*/ ctx[8];\n\t\t\tif (dirty & /*selectedFilterIndex*/ 128) radiogroup_changes.selectedIndex = /*selectedFilterIndex*/ ctx[7];\n\t\t\tradiogroup.$set(radiogroup_changes);\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(radiogroup.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(radiogroup.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tdestroy_component(radiogroup, detaching);\n\t\t}\n\t};\n}\n\nfunction create_fragment$n(ctx) {\n\tlet dropdown;\n\tlet current;\n\n\tdropdown = new Dropdown({\n\t\t\tprops: {\n\t\t\t\ticon: /*icon*/ ctx[0],\n\t\t\t\tlabel: /*label*/ ctx[1],\n\t\t\t\tlabelClass: /*labelClass*/ ctx[2],\n\t\t\t\thideLabel: /*hideLabel*/ ctx[3],\n\t\t\t\toptions: /*filteredOptions*/ ctx[9],\n\t\t\t\tselectedIndex: /*selectedIndex*/ ctx[4],\n\t\t\t\tonchange: /*onchange*/ ctx[5],\n\t\t\t\toptionMapper: /*optionMapper*/ ctx[6],\n\t\t\t\t$$slots: { controls: [create_controls_slot] },\n\t\t\t\t$$scope: { ctx }\n\t\t\t}\n\t\t});\n\n\treturn {\n\t\tc() {\n\t\t\tcreate_component(dropdown.$$.fragment);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tmount_component(dropdown, target, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, [dirty]) {\n\t\t\tconst dropdown_changes = {};\n\t\t\tif (dirty & /*icon*/ 1) dropdown_changes.icon = /*icon*/ ctx[0];\n\t\t\tif (dirty & /*label*/ 2) dropdown_changes.label = /*label*/ ctx[1];\n\t\t\tif (dirty & /*labelClass*/ 4) dropdown_changes.labelClass = /*labelClass*/ ctx[2];\n\t\t\tif (dirty & /*hideLabel*/ 8) dropdown_changes.hideLabel = /*hideLabel*/ ctx[3];\n\t\t\tif (dirty & /*filteredOptions*/ 512) dropdown_changes.options = /*filteredOptions*/ ctx[9];\n\t\t\tif (dirty & /*selectedIndex*/ 16) dropdown_changes.selectedIndex = /*selectedIndex*/ ctx[4];\n\t\t\tif (dirty & /*onchange*/ 32) dropdown_changes.onchange = /*onchange*/ ctx[5];\n\t\t\tif (dirty & /*optionMapper*/ 64) dropdown_changes.optionMapper = /*optionMapper*/ ctx[6];\n\n\t\t\tif (dirty & /*$$scope, filterOptions, selectedFilterIndex*/ 262528) {\n\t\t\t\tdropdown_changes.$$scope = { dirty, ctx };\n\t\t\t}\n\n\t\t\tdropdown.$set(dropdown_changes);\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(dropdown.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(dropdown.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tdestroy_component(dropdown, detaching);\n\t\t}\n\t};\n}\n\nconst style = 'fill=\"none\" stroke=\"currentColor\"';\n\nfunction instance$n($$self, $$props, $$invalidate) {\n\tlet filteredOptions;\n\tlet selectedFilterIndex;\n\tlet filterOptions;\n\tlet { icon } = $$props;\n\tlet { label } = $$props;\n\tlet { labelClass } = $$props;\n\tlet { hideLabel } = $$props;\n\tlet { options } = $$props;\n\tlet { selectedIndex } = $$props;\n\tlet { onchange } = $$props;\n\tlet { optionMapper } = $$props;\n\tlet { filter = 'landscape' } = $$props;\n\tlet { onfilterchange = noop$1 } = $$props;\n\n\tconst getIcon = (x, y, width, height, r) => `\n    <rect ${style} x=\"${x}\" y=\"${y}\" width=\"${width}\" height=\"${height}\" rx=\"${r}\"/>`;\n\n\tconst getCheckmark = (x, y) => `<path ${style} d=\"M${x} ${y} l2 2 l3 -4\"/>`;\n\n\tconst mapGroupedOptions = (options, map) => (options || []).map(option => {\n\t\t// group\n\t\tif (isString(option[0])) {\n\t\t\toption[1] = option[1].map(map);\n\t\t\treturn option;\n\t\t}\n\n\t\t// single\n\t\treturn map(option);\n\t});\n\n\tconst createOptionMapper = filter => item => {\n\t\tconst [value, label, options = {}] = item;\n\n\t\tif (isNumber(value)) {\n\t\t\toptions.hidden = filter === 'landscape' ? value < 1 : value > 1;\n\t\t}\n\n\t\treturn [value, label, options];\n\t};\n\n\tconst handleChangeFilter = item => {\n\t\t$$invalidate(11, filter = item.value);\n\t\tonfilterchange(item.value);\n\t};\n\n\t$$self.$$set = $$props => {\n\t\tif ('icon' in $$props) $$invalidate(0, icon = $$props.icon);\n\t\tif ('label' in $$props) $$invalidate(1, label = $$props.label);\n\t\tif ('labelClass' in $$props) $$invalidate(2, labelClass = $$props.labelClass);\n\t\tif ('hideLabel' in $$props) $$invalidate(3, hideLabel = $$props.hideLabel);\n\t\tif ('options' in $$props) $$invalidate(12, options = $$props.options);\n\t\tif ('selectedIndex' in $$props) $$invalidate(4, selectedIndex = $$props.selectedIndex);\n\t\tif ('onchange' in $$props) $$invalidate(5, onchange = $$props.onchange);\n\t\tif ('optionMapper' in $$props) $$invalidate(6, optionMapper = $$props.optionMapper);\n\t\tif ('filter' in $$props) $$invalidate(11, filter = $$props.filter);\n\t\tif ('onfilterchange' in $$props) $$invalidate(13, onfilterchange = $$props.onfilterchange);\n\t};\n\n\t$$self.$$.update = () => {\n\t\tif ($$self.$$.dirty & /*options, filter*/ 6144) {\n\t\t\t$$invalidate(9, filteredOptions = mapGroupedOptions(options, createOptionMapper(filter)));\n\t\t}\n\n\t\tif ($$self.$$.dirty & /*filter*/ 2048) {\n\t\t\t$$invalidate(7, selectedFilterIndex = filter === 'landscape' ? 0 : 1);\n\t\t}\n\n\t\tif ($$self.$$.dirty & /*selectedFilterIndex*/ 128) {\n\t\t\t$$invalidate(8, filterOptions = [\n\t\t\t\t[\n\t\t\t\t\t'landscape',\n\t\t\t\t\t'Landscape',\n\t\t\t\t\t{\n\t\t\t\t\t\thideLabel: true,\n\t\t\t\t\t\ticon: getIcon(2, 6, 19, 12, 2) + (selectedFilterIndex === 0 ? getCheckmark(9, 12) : '')\n\t\t\t\t\t}\n\t\t\t\t],\n\t\t\t\t[\n\t\t\t\t\t'portrait',\n\t\t\t\t\t'Portrait',\n\t\t\t\t\t{\n\t\t\t\t\t\thideLabel: true,\n\t\t\t\t\t\ticon: getIcon(5, 3, 13, 18, 2) + (selectedFilterIndex === 1 ? getCheckmark(9, 12) : '')\n\t\t\t\t\t}\n\t\t\t\t]\n\t\t\t]);\n\t\t}\n\t};\n\n\treturn [\n\t\ticon,\n\t\tlabel,\n\t\tlabelClass,\n\t\thideLabel,\n\t\tselectedIndex,\n\t\tonchange,\n\t\toptionMapper,\n\t\tselectedFilterIndex,\n\t\tfilterOptions,\n\t\tfilteredOptions,\n\t\thandleChangeFilter,\n\t\tfilter,\n\t\toptions,\n\t\tonfilterchange\n\t];\n}\n\nclass CropPresetList extends SvelteComponent {\n\tconstructor(options) {\n\t\tsuper();\n\n\t\tinit(this, options, instance$n, create_fragment$n, safe_not_equal, {\n\t\t\ticon: 0,\n\t\t\tlabel: 1,\n\t\t\tlabelClass: 2,\n\t\t\thideLabel: 3,\n\t\t\toptions: 12,\n\t\t\tselectedIndex: 4,\n\t\t\tonchange: 5,\n\t\t\toptionMapper: 6,\n\t\t\tfilter: 11,\n\t\t\tonfilterchange: 13\n\t\t});\n\t}\n}\n\n// this makes sure that the new rectangle doesn't have corners outside of the quad\nconst EDGE_DISTANCE_FACTOR = 0.9999;\nconst PRECISION = 6;\nconst fixVectorPrecision = (v) => vectorApply(v, (v) => fixPrecision(v, PRECISION));\nconst rectFixPrecision = (r) => rectApply(r, (v) => fixPrecision(v, PRECISION));\nconst quadFixPrecision = (q) => q.map(fixVectorPrecision);\nconst floatEquals = (a, b, margin = 0.0001) => Math.abs(a - b) < margin;\nvar getRectLimitedToQuad = (rectOrigin, rectTarget, transform, quad, options = {}) => {\n    const { aspectRatio } = options;\n    rectOrigin = rectFixPrecision(rectOrigin);\n    quad = quadFixPrecision(quad);\n    const anchor = rectGetCornerByTarget(rectOrigin, DirectionInversionTable[transform.target]);\n    const anchorFixed = vectorApply(anchor, (v) => fixPrecision(v, PRECISION));\n    const minSize = aspectRatio ? rectCoverRect(options.minSize, aspectRatio) : options.minSize;\n    const maxSize = aspectRatio ? rectContainRect(options.maxSize, aspectRatio) : options.maxSize;\n    const rectTargetCorner = rectGetCornerByTarget(rectTarget, transform.target);\n    // prevent scaling the target size smaller than 0\n    const dist = vectorDistance(rectTargetCorner, anchor);\n    if (dist < 1) {\n        rectTarget = rectClone$1(rectOrigin);\n        const scalar = Math.min(minSize.width / rectOrigin.width, minSize.height / rectOrigin.height);\n        rectScale$1(rectTarget, scalar, anchor);\n    }\n    // clamp between min and max size\n    rectTarget = rectClamp(rectClone$1(rectTarget), minSize, maxSize, anchor);\n    let rect = rectClone$1(rectTarget);\n    rectTarget = rectFixPrecision(rectTarget);\n    const quadEdges = quadToLines(quad, 1);\n    const cornersOrigin = rectGetCorners(rectOrigin);\n    const cornersTarget = rectGetCorners(rectTarget);\n    const anchorIndex = cornersOrigin.findIndex((corner) => vectorEqual(vectorApply(corner, (v) => fixPrecision(v, PRECISION)), anchorFixed));\n    const getLineIntersectionWithQuad = (line) => quadEdges\n        .map((quadEdge) => lineLineIntersection(quadEdge, line))\n        .filter(Boolean)\n        .pop();\n    // when aspect ratio is locked we can scale the original rectangle relatively to closest intersectionpoint\n    if (aspectRatio) {\n        const intersections = cornersTarget\n            .map((target, index) => {\n            // skip anchor\n            if (index === anchorIndex)\n                return;\n            // start ray slightly away from anchor so we don't intersect with quad edge\n            const dir = vectorCreate(anchor.x - target.x, anchor.y - target.y);\n            vectorNormalize(dir);\n            vectorMultiply(dir, 0.5);\n            // draw line from anchor to target to find intersection with quad edge\n            const rayOrigin = vectorCreate(anchor.x - dir.x, anchor.y - dir.y);\n            const ray = lineCreate(rayOrigin, fixVectorPrecision(target));\n            const intersection = getLineIntersectionWithQuad(ray);\n            if (!intersection)\n                return;\n            const origin = cornersOrigin[index];\n            return {\n                intersection,\n                cornerDist: vectorDistance(anchor, origin),\n                intersectionDist: vectorDistance(anchor, intersection),\n            };\n        })\n            .filter(Boolean);\n        if (intersections.length) {\n            const scalar = intersections.reduce((scalar, current) => {\n                const currentScalar = current.intersectionDist / current.cornerDist;\n                return currentScalar < scalar ? currentScalar : scalar;\n            }, Number.MAX_SAFE_INTEGER);\n            rect = rectClone$1(rectOrigin);\n            rectScale$1(rect, scalar, anchor);\n        }\n    }\n    else {\n        // if not a fixed aspect ratio\n        const isManipulatingEdge = transform.target.length === 1;\n        // is true if quad is rotated\n        const isRotated = !(quad[0].y === quad[1].y || quad[0].x === quad[1].x);\n        // get intersections\n        const intersections = cornersOrigin\n            .map((cornerOrigin, index) => {\n            // skip anchor\n            if (index === anchorIndex)\n                return;\n            const cornerTarget = cornersTarget[index];\n            const isDiagonal = !floatEquals(cornerTarget.x, anchorFixed.x) &&\n                !floatEquals(cornerTarget.y, anchorFixed.y);\n            // we ignore the diagonal ray if the quad isn't rotated this makes for better ux\n            if (!isManipulatingEdge && !isRotated && isDiagonal)\n                return;\n            if (isManipulatingEdge &&\n                (floatEquals(cornerTarget.x, anchorFixed.x) ||\n                    floatEquals(cornerTarget.y, anchorFixed.y)))\n                return;\n            const rayOrigin = vectorClone(isManipulatingEdge ? cornerOrigin : anchor);\n            // start ray slightly away from anchor so we don't intersect with quad edge\n            const dir = vectorSubtract(vectorClone(rayOrigin), cornerTarget);\n            vectorNormalize(dir);\n            vectorMultiply(dir, 0.5);\n            if (isManipulatingEdge) {\n                vectorAdd(rayOrigin, dir);\n            }\n            else {\n                vectorSubtract(rayOrigin, dir);\n            }\n            const ray = lineCreate(rayOrigin, cornerTarget);\n            const intersection = getLineIntersectionWithQuad(ray);\n            if (!intersection)\n                return;\n            return intersection;\n        })\n            .filter(Boolean);\n        if (intersections.length) {\n            const [translateToRight, translateToLeft, translateToTop, translateToBottom] = getTranslationInfo(transform.target);\n            let [t, r, b, l] = rectToBounds(rectTarget);\n            intersections.forEach(({ x, y }) => {\n                const pX = fixPrecision(x, PRECISION);\n                const pY = fixPrecision(y, PRECISION);\n                if (translateToTop && !floatEquals(pY, anchorFixed.y)) {\n                    t = Math.max(t, y);\n                }\n                if (translateToRight && !floatEquals(pX, anchorFixed.x)) {\n                    r = Math.min(r, x);\n                }\n                if (translateToBottom && !floatEquals(pY, anchorFixed.y)) {\n                    b = Math.min(b, y);\n                }\n                if (translateToLeft && !floatEquals(pX, anchorFixed.x)) {\n                    l = Math.max(l, x);\n                }\n            });\n            // new rect\n            rect = rectCreateFromBounds([t, r, b, l]);\n            // scale back a bit so doesn't overlap with quad\n            rectScale$1(rect, EDGE_DISTANCE_FACTOR, anchor);\n        }\n    }\n    // make sure is at least one pixel wide and high\n    rectClamp(rect, minSize, maxSize, anchor);\n    return rect;\n};\n\n/* src/core/ui/plugins/crop/index.svelte generated by Svelte v3.52.0 */\n\nfunction create_default_slot_2$2(ctx) {\n\tlet dynamiccomponenttree;\n\tlet current;\n\tdynamiccomponenttree = new DynamicComponentTree_1({ props: { items: /*cropTools*/ ctx[11] } });\n\n\treturn {\n\t\tc() {\n\t\t\tcreate_component(dynamiccomponenttree.$$.fragment);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tmount_component(dynamiccomponenttree, target, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tconst dynamiccomponenttree_changes = {};\n\t\t\tif (dirty[0] & /*cropTools*/ 2048) dynamiccomponenttree_changes.items = /*cropTools*/ ctx[11];\n\t\t\tdynamiccomponenttree.$set(dynamiccomponenttree_changes);\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(dynamiccomponenttree.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(dynamiccomponenttree.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tdestroy_component(dynamiccomponenttree, detaching);\n\t\t}\n\t};\n}\n\n// (1522:4) \nfunction create_header_slot(ctx) {\n\tlet div;\n\tlet toolbar;\n\tlet current;\n\n\ttoolbar = new Toolbar({\n\t\t\tprops: {\n\t\t\t\t$$slots: { default: [create_default_slot_2$2] },\n\t\t\t\t$$scope: { ctx }\n\t\t\t}\n\t\t});\n\n\treturn {\n\t\tc() {\n\t\t\tdiv = element(\"div\");\n\t\t\tcreate_component(toolbar.$$.fragment);\n\t\t\tattr(div, \"slot\", \"header\");\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, div, anchor);\n\t\t\tmount_component(toolbar, div, null);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tconst toolbar_changes = {};\n\n\t\t\tif (dirty[0] & /*cropTools*/ 2048 | dirty[7] & /*$$scope*/ 1) {\n\t\t\t\ttoolbar_changes.$$scope = { dirty, ctx };\n\t\t\t}\n\n\t\t\ttoolbar.$set(toolbar_changes);\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(toolbar.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(toolbar.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(div);\n\t\t\tdestroy_component(toolbar);\n\t\t}\n\t};\n}\n\n// (1552:12) {#if shouldRenderImageSelection && shouldRenderImageSelectionRecenterButton}\nfunction create_if_block_5$2(ctx) {\n\tlet button;\n\tlet current;\n\n\tbutton = new Button({\n\t\t\tprops: {\n\t\t\t\tonclick: /*handleRecenterAction*/ ctx[88],\n\t\t\t\tlabel: /*locale*/ ctx[4].cropLabelButtonRecenter,\n\t\t\t\ticon: /*locale*/ ctx[4].cropIconButtonRecenter,\n\t\t\t\tclass: \"PinturaButtonCenter\",\n\t\t\t\tdisabled: !/*canCenter*/ ctx[9],\n\t\t\t\thideLabel: true,\n\t\t\t\tstyle: `opacity: ${/*$recenterOpacity*/ ctx[29]}; transform: translate3d(${/*$recenterOffset*/ ctx[30].x}px, ${/*$recenterOffset*/ ctx[30].y}px, 0)`\n\t\t\t}\n\t\t});\n\n\treturn {\n\t\tc() {\n\t\t\tcreate_component(button.$$.fragment);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tmount_component(button, target, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tconst button_changes = {};\n\t\t\tif (dirty[0] & /*locale*/ 16) button_changes.label = /*locale*/ ctx[4].cropLabelButtonRecenter;\n\t\t\tif (dirty[0] & /*locale*/ 16) button_changes.icon = /*locale*/ ctx[4].cropIconButtonRecenter;\n\t\t\tif (dirty[0] & /*canCenter*/ 512) button_changes.disabled = !/*canCenter*/ ctx[9];\n\t\t\tif (dirty[0] & /*$recenterOpacity, $recenterOffset*/ 1610612736) button_changes.style = `opacity: ${/*$recenterOpacity*/ ctx[29]}; transform: translate3d(${/*$recenterOffset*/ ctx[30].x}px, ${/*$recenterOffset*/ ctx[30].y}px, 0)`;\n\t\t\tbutton.$set(button_changes);\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(button.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(button.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tdestroy_component(button, detaching);\n\t\t}\n\t};\n}\n\n// (1564:12) {#if shouldRenderImageSelection}\nfunction create_if_block_4$3(ctx) {\n\tlet rectmanipulator;\n\tlet current;\n\n\trectmanipulator = new RectManipulator({\n\t\t\tprops: {\n\t\t\t\trect: /*imageSelectionRectOffset*/ ctx[8],\n\t\t\t\tvisible: /*$isActive*/ ctx[12],\n\t\t\t\tstyle: /*cropImageSelectionCornerStyle*/ ctx[1]\n\t\t\t}\n\t\t});\n\n\trectmanipulator.$on(\"resizestart\", /*handleSelectionGrab*/ ctx[68]);\n\trectmanipulator.$on(\"resizemove\", /*handleSelectionDrag*/ ctx[69]);\n\trectmanipulator.$on(\"resizeend\", /*handleSelectionRelease*/ ctx[70]);\n\n\treturn {\n\t\tc() {\n\t\t\tcreate_component(rectmanipulator.$$.fragment);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tmount_component(rectmanipulator, target, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tconst rectmanipulator_changes = {};\n\t\t\tif (dirty[0] & /*imageSelectionRectOffset*/ 256) rectmanipulator_changes.rect = /*imageSelectionRectOffset*/ ctx[8];\n\t\t\tif (dirty[0] & /*$isActive*/ 4096) rectmanipulator_changes.visible = /*$isActive*/ ctx[12];\n\t\t\tif (dirty[0] & /*cropImageSelectionCornerStyle*/ 2) rectmanipulator_changes.style = /*cropImageSelectionCornerStyle*/ ctx[1];\n\t\t\trectmanipulator.$set(rectmanipulator_changes);\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(rectmanipulator.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(rectmanipulator.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tdestroy_component(rectmanipulator, detaching);\n\t\t}\n\t};\n}\n\n// (1577:8) {#if shouldRenderInfoIndicator}\nfunction create_if_block_3$3(ctx) {\n\tlet imageinfo;\n\tlet current;\n\n\timageinfo = new ImageInfo({\n\t\t\tprops: {\n\t\t\t\twidth: Math.round(/*$imageCropRect*/ ctx[13].width),\n\t\t\t\theight: Math.round(/*$imageCropRect*/ ctx[13].height)\n\t\t\t}\n\t\t});\n\n\treturn {\n\t\tc() {\n\t\t\tcreate_component(imageinfo.$$.fragment);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tmount_component(imageinfo, target, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tconst imageinfo_changes = {};\n\t\t\tif (dirty[0] & /*$imageCropRect*/ 8192) imageinfo_changes.width = Math.round(/*$imageCropRect*/ ctx[13].width);\n\t\t\tif (dirty[0] & /*$imageCropRect*/ 8192) imageinfo_changes.height = Math.round(/*$imageCropRect*/ ctx[13].height);\n\t\t\timageinfo.$set(imageinfo_changes);\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(imageinfo.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(imageinfo.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tdestroy_component(imageinfo, detaching);\n\t\t}\n\t};\n}\n\n// (1528:4) \nfunction create_main_slot$1(ctx) {\n\tlet div1;\n\tlet div0;\n\tlet t0;\n\tlet interactable_action;\n\tlet t1;\n\tlet current;\n\tlet mounted;\n\tlet dispose;\n\tlet if_block0 = /*shouldRenderImageSelection*/ ctx[21] && /*shouldRenderImageSelectionRecenterButton*/ ctx[10] && create_if_block_5$2(ctx);\n\tlet if_block1 = /*shouldRenderImageSelection*/ ctx[21] && create_if_block_4$3(ctx);\n\tlet if_block2 = /*shouldRenderInfoIndicator*/ ctx[22] && create_if_block_3$3(ctx);\n\n\treturn {\n\t\tc() {\n\t\t\tdiv1 = element(\"div\");\n\t\t\tdiv0 = element(\"div\");\n\t\t\tif (if_block0) if_block0.c();\n\t\t\tt0 = space();\n\t\t\tif (if_block1) if_block1.c();\n\t\t\tt1 = space();\n\t\t\tif (if_block2) if_block2.c();\n\t\t\tattr(div0, \"class\", \"PinturaStage\");\n\t\t\tattr(div1, \"slot\", \"main\");\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, div1, anchor);\n\t\t\tappend(div1, div0);\n\t\t\tif (if_block0) if_block0.m(div0, null);\n\t\t\tappend(div0, t0);\n\t\t\tif (if_block1) if_block1.m(div0, null);\n\t\t\t/*div0_binding*/ ctx[162](div0);\n\t\t\tappend(div1, t1);\n\t\t\tif (if_block2) if_block2.m(div1, null);\n\t\t\tcurrent = true;\n\n\t\t\tif (!mounted) {\n\t\t\t\tdispose = [\n\t\t\t\t\taction_destroyer(measurable.call(null, div0)),\n\t\t\t\t\tlisten(div0, \"measure\", /*measure_handler_1*/ ctx[160]),\n\t\t\t\t\tlisten(\n\t\t\t\t\t\tdiv0,\n\t\t\t\t\t\t\"wheel\",\n\t\t\t\t\t\tfunction () {\n\t\t\t\t\t\t\tif (is_function(/*cropEnableZoom*/ ctx[2] && /*handleWheel*/ ctx[87])) (/*cropEnableZoom*/ ctx[2] && /*handleWheel*/ ctx[87]).apply(this, arguments);\n\t\t\t\t\t\t},\n\t\t\t\t\t\t{ passive: false }\n\t\t\t\t\t),\n\t\t\t\t\tlisten(div0, \"interactionstart\", /*handleImageDragStart*/ ctx[74]),\n\t\t\t\t\tlisten(div0, \"interactionupdate\", /*handleImageDrag*/ ctx[75]),\n\t\t\t\t\tlisten(div0, \"interactionrelease\", /*handleImageDragRelease*/ ctx[77]),\n\t\t\t\t\tlisten(div0, \"interactionend\", /*handleImageDragEnd*/ ctx[76]),\n\t\t\t\t\taction_destroyer(interactable_action = interactable.call(null, div0, {\n\t\t\t\t\t\tdrag: true,\n\t\t\t\t\t\tinertia: true,\n\t\t\t\t\t\tpinch: /*cropEnableZoom*/ ctx[2],\n\t\t\t\t\t\tshouldStartInteraction: interactable_function$1,\n\t\t\t\t\t\tgetEventPosition: /*interactable_function_1*/ ctx[163]\n\t\t\t\t\t})),\n\t\t\t\t\tlisten(div0, \"gesturedown\", /*handleGestureStart*/ ctx[84]),\n\t\t\t\t\tlisten(div0, \"gestureupdate\", /*handleGestureUpdate*/ ctx[85]),\n\t\t\t\t\tlisten(div0, \"gestureup\", /*handleGestureEnd*/ ctx[86]),\n\t\t\t\t\taction_destroyer(gesturable.call(null, div0))\n\t\t\t\t];\n\n\t\t\t\tmounted = true;\n\t\t\t}\n\t\t},\n\t\tp(new_ctx, dirty) {\n\t\t\tctx = new_ctx;\n\n\t\t\tif (/*shouldRenderImageSelection*/ ctx[21] && /*shouldRenderImageSelectionRecenterButton*/ ctx[10]) {\n\t\t\t\tif (if_block0) {\n\t\t\t\t\tif_block0.p(ctx, dirty);\n\n\t\t\t\t\tif (dirty[0] & /*shouldRenderImageSelection, shouldRenderImageSelectionRecenterButton*/ 2098176) {\n\t\t\t\t\t\ttransition_in(if_block0, 1);\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tif_block0 = create_if_block_5$2(ctx);\n\t\t\t\t\tif_block0.c();\n\t\t\t\t\ttransition_in(if_block0, 1);\n\t\t\t\t\tif_block0.m(div0, t0);\n\t\t\t\t}\n\t\t\t} else if (if_block0) {\n\t\t\t\tgroup_outros();\n\n\t\t\t\ttransition_out(if_block0, 1, 1, () => {\n\t\t\t\t\tif_block0 = null;\n\t\t\t\t});\n\n\t\t\t\tcheck_outros();\n\t\t\t}\n\n\t\t\tif (/*shouldRenderImageSelection*/ ctx[21]) {\n\t\t\t\tif (if_block1) {\n\t\t\t\t\tif_block1.p(ctx, dirty);\n\n\t\t\t\t\tif (dirty[0] & /*shouldRenderImageSelection*/ 2097152) {\n\t\t\t\t\t\ttransition_in(if_block1, 1);\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tif_block1 = create_if_block_4$3(ctx);\n\t\t\t\t\tif_block1.c();\n\t\t\t\t\ttransition_in(if_block1, 1);\n\t\t\t\t\tif_block1.m(div0, null);\n\t\t\t\t}\n\t\t\t} else if (if_block1) {\n\t\t\t\tgroup_outros();\n\n\t\t\t\ttransition_out(if_block1, 1, 1, () => {\n\t\t\t\t\tif_block1 = null;\n\t\t\t\t});\n\n\t\t\t\tcheck_outros();\n\t\t\t}\n\n\t\t\tif (interactable_action && is_function(interactable_action.update) && dirty[0] & /*cropEnableZoom, $rootRect*/ 16777220) interactable_action.update.call(null, {\n\t\t\t\tdrag: true,\n\t\t\t\tinertia: true,\n\t\t\t\tpinch: /*cropEnableZoom*/ ctx[2],\n\t\t\t\tshouldStartInteraction: interactable_function$1,\n\t\t\t\tgetEventPosition: /*interactable_function_1*/ ctx[163]\n\t\t\t});\n\n\t\t\tif (/*shouldRenderInfoIndicator*/ ctx[22]) {\n\t\t\t\tif (if_block2) {\n\t\t\t\t\tif_block2.p(ctx, dirty);\n\n\t\t\t\t\tif (dirty[0] & /*shouldRenderInfoIndicator*/ 4194304) {\n\t\t\t\t\t\ttransition_in(if_block2, 1);\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tif_block2 = create_if_block_3$3(ctx);\n\t\t\t\t\tif_block2.c();\n\t\t\t\t\ttransition_in(if_block2, 1);\n\t\t\t\t\tif_block2.m(div1, null);\n\t\t\t\t}\n\t\t\t} else if (if_block2) {\n\t\t\t\tgroup_outros();\n\n\t\t\t\ttransition_out(if_block2, 1, 1, () => {\n\t\t\t\t\tif_block2 = null;\n\t\t\t\t});\n\n\t\t\t\tcheck_outros();\n\t\t\t}\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(if_block0);\n\t\t\ttransition_in(if_block1);\n\t\t\ttransition_in(if_block2);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(if_block0);\n\t\t\ttransition_out(if_block1);\n\t\t\ttransition_out(if_block2);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(div1);\n\t\t\tif (if_block0) if_block0.d();\n\t\t\tif (if_block1) if_block1.d();\n\t\t\t/*div0_binding*/ ctx[162](null);\n\t\t\tif (if_block2) if_block2.d();\n\t\t\tmounted = false;\n\t\t\trun_all(dispose);\n\t\t}\n\t};\n}\n\n// (1585:8) {#if shouldRenderFooter}\nfunction create_if_block$5(ctx) {\n\tlet tablist;\n\tlet t;\n\tlet tabpanels;\n\tlet current;\n\n\tconst tablist_spread_levels = [\n\t\t{ class: \"PinturaControlList\" },\n\t\t{ tabs: /*tabs*/ ctx[7] },\n\t\t/*tabsConfig*/ ctx[18]\n\t];\n\n\tlet tablist_props = {\n\t\t$$slots: {\n\t\t\tdefault: [\n\t\t\t\tcreate_default_slot_1$3,\n\t\t\t\t({ tab }) => ({ 216: tab }),\n\t\t\t\t({ tab }) => [0, 0, 0, 0, 0, 0, tab ? 1073741824 : 0]\n\t\t\t]\n\t\t},\n\t\t$$scope: { ctx }\n\t};\n\n\tfor (let i = 0; i < tablist_spread_levels.length; i += 1) {\n\t\ttablist_props = assign(tablist_props, tablist_spread_levels[i]);\n\t}\n\n\ttablist = new TabList({ props: tablist_props });\n\ttablist.$on(\"select\", /*select_handler*/ ctx[161]);\n\n\tconst tabpanels_spread_levels = [\n\t\t{ class: \"PinturaControlPanels\" },\n\t\t{ panelClass: \"PinturaControlPanel\" },\n\t\t{ panels: /*panels*/ ctx[17] },\n\t\t/*tabsConfig*/ ctx[18]\n\t];\n\n\tlet tabpanels_props = {\n\t\t$$slots: {\n\t\t\tdefault: [\n\t\t\t\tcreate_default_slot$a,\n\t\t\t\t({ panel }) => ({ 215: panel }),\n\t\t\t\t({ panel }) => [0, 0, 0, 0, 0, 0, panel ? 536870912 : 0]\n\t\t\t]\n\t\t},\n\t\t$$scope: { ctx }\n\t};\n\n\tfor (let i = 0; i < tabpanels_spread_levels.length; i += 1) {\n\t\ttabpanels_props = assign(tabpanels_props, tabpanels_spread_levels[i]);\n\t}\n\n\ttabpanels = new TabPanels({ props: tabpanels_props });\n\n\treturn {\n\t\tc() {\n\t\t\tcreate_component(tablist.$$.fragment);\n\t\t\tt = space();\n\t\t\tcreate_component(tabpanels.$$.fragment);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tmount_component(tablist, target, anchor);\n\t\t\tinsert(target, t, anchor);\n\t\t\tmount_component(tabpanels, target, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tconst tablist_changes = (dirty[0] & /*tabs, tabsConfig*/ 262272)\n\t\t\t? get_spread_update(tablist_spread_levels, [\n\t\t\t\t\ttablist_spread_levels[0],\n\t\t\t\t\tdirty[0] & /*tabs*/ 128 && { tabs: /*tabs*/ ctx[7] },\n\t\t\t\t\tdirty[0] & /*tabsConfig*/ 262144 && get_spread_object(/*tabsConfig*/ ctx[18])\n\t\t\t\t])\n\t\t\t: {};\n\n\t\t\tif (dirty[6] & /*tab*/ 1073741824 | dirty[7] & /*$$scope*/ 1) {\n\t\t\t\ttablist_changes.$$scope = { dirty, ctx };\n\t\t\t}\n\n\t\t\ttablist.$set(tablist_changes);\n\n\t\t\tconst tabpanels_changes = (dirty[0] & /*panels, tabsConfig*/ 393216)\n\t\t\t? get_spread_update(tabpanels_spread_levels, [\n\t\t\t\t\ttabpanels_spread_levels[0],\n\t\t\t\t\ttabpanels_spread_levels[1],\n\t\t\t\t\tdirty[0] & /*panels*/ 131072 && { panels: /*panels*/ ctx[17] },\n\t\t\t\t\tdirty[0] & /*tabsConfig*/ 262144 && get_spread_object(/*tabsConfig*/ ctx[18])\n\t\t\t\t])\n\t\t\t: {};\n\n\t\t\tif (dirty[0] & /*$elasticityMultiplier, $imageRotation, locale, $imageRotationRange, cropRotationRange, imageZoomLevelMin, $imageZoomLevelRange, $imageZoomLevel*/ 511721496 | dirty[6] & /*panel*/ 536870912 | dirty[7] & /*$$scope*/ 1) {\n\t\t\t\ttabpanels_changes.$$scope = { dirty, ctx };\n\t\t\t}\n\n\t\t\ttabpanels.$set(tabpanels_changes);\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(tablist.$$.fragment, local);\n\t\t\ttransition_in(tabpanels.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(tablist.$$.fragment, local);\n\t\t\ttransition_out(tabpanels.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tdestroy_component(tablist, detaching);\n\t\t\tif (detaching) detach(t);\n\t\t\tdestroy_component(tabpanels, detaching);\n\t\t}\n\t};\n}\n\n// (1586:12) <TabList                 class=\"PinturaControlList\"                 {tabs}                 {...tabsConfig}                 on:select={({ detail }) => (transformSelected = detail)}                 let:tab             >\nfunction create_default_slot_1$3(ctx) {\n\tlet span;\n\tlet t_value = /*tab*/ ctx[216].label + \"\";\n\tlet t;\n\n\treturn {\n\t\tc() {\n\t\t\tspan = element(\"span\");\n\t\t\tt = text(t_value);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, span, anchor);\n\t\t\tappend(span, t);\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tif (dirty[6] & /*tab*/ 1073741824 && t_value !== (t_value = /*tab*/ ctx[216].label + \"\")) set_data(t, t_value);\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(span);\n\t\t}\n\t};\n}\n\n// (1616:59) \nfunction create_if_block_2$3(ctx) {\n\tlet rangeinput;\n\tlet current;\n\n\trangeinput = new RangeInput({\n\t\t\tprops: {\n\t\t\t\telasticity: /*$elasticityMultiplier*/ ctx[25] * /*rangeInputElasticity*/ ctx[43],\n\t\t\t\tbase: imageZoomLevelBase,\n\t\t\t\tmin: /*imageZoomLevelMin*/ ctx[23],\n\t\t\t\tmax: imageZoomLevelMax,\n\t\t\t\tvalueMin: /*$imageZoomLevelRange*/ ctx[27][0],\n\t\t\t\tvalueMax: /*$imageZoomLevelRange*/ ctx[27][1],\n\t\t\t\tvalue: /*$imageZoomLevel*/ ctx[28],\n\t\t\t\tlabelReset: /*locale*/ ctx[4].labelReset,\n\t\t\t\tvalueLabel: `${Math.round(/*$imageZoomLevel*/ ctx[28] * 100)}%`,\n\t\t\t\toninputstart: /*handleResizeStart*/ ctx[81],\n\t\t\t\toninputmove: /*handleResizeMove*/ ctx[82],\n\t\t\t\toninputend: /*handleResizeEnd*/ ctx[83]\n\t\t\t}\n\t\t});\n\n\treturn {\n\t\tc() {\n\t\t\tcreate_component(rangeinput.$$.fragment);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tmount_component(rangeinput, target, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tconst rangeinput_changes = {};\n\t\t\tif (dirty[0] & /*$elasticityMultiplier*/ 33554432) rangeinput_changes.elasticity = /*$elasticityMultiplier*/ ctx[25] * /*rangeInputElasticity*/ ctx[43];\n\t\t\tif (dirty[0] & /*imageZoomLevelMin*/ 8388608) rangeinput_changes.min = /*imageZoomLevelMin*/ ctx[23];\n\t\t\tif (dirty[0] & /*$imageZoomLevelRange*/ 134217728) rangeinput_changes.valueMin = /*$imageZoomLevelRange*/ ctx[27][0];\n\t\t\tif (dirty[0] & /*$imageZoomLevelRange*/ 134217728) rangeinput_changes.valueMax = /*$imageZoomLevelRange*/ ctx[27][1];\n\t\t\tif (dirty[0] & /*$imageZoomLevel*/ 268435456) rangeinput_changes.value = /*$imageZoomLevel*/ ctx[28];\n\t\t\tif (dirty[0] & /*locale*/ 16) rangeinput_changes.labelReset = /*locale*/ ctx[4].labelReset;\n\t\t\tif (dirty[0] & /*$imageZoomLevel*/ 268435456) rangeinput_changes.valueLabel = `${Math.round(/*$imageZoomLevel*/ ctx[28] * 100)}%`;\n\t\t\trangeinput.$set(rangeinput_changes);\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(rangeinput.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(rangeinput.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tdestroy_component(rangeinput, detaching);\n\t\t}\n\t};\n}\n\n// (1603:16) {#if panel === cropUniqueId + '-rotation'}\nfunction create_if_block_1$4(ctx) {\n\tlet imagerotator;\n\tlet current;\n\n\timagerotator = new ImageRotator({\n\t\t\tprops: {\n\t\t\t\telasticity: /*$elasticityMultiplier*/ ctx[25] * /*rangeInputElasticity*/ ctx[43],\n\t\t\t\trotation: /*$imageRotation*/ ctx[14],\n\t\t\t\tlabelReset: /*locale*/ ctx[4].labelReset,\n\t\t\t\tvalueMin: /*$imageRotationRange*/ ctx[26][0],\n\t\t\t\tvalueMax: /*$imageRotationRange*/ ctx[26][1],\n\t\t\t\trotationMin: -/*cropRotationRange*/ ctx[3],\n\t\t\t\trotationMax: /*cropRotationRange*/ ctx[3],\n\t\t\t\toninputstart: /*handleRotateStart*/ ctx[71],\n\t\t\t\toninputmove: /*handleRotateMove*/ ctx[72],\n\t\t\t\toninputend: /*handleRotateEnd*/ ctx[73]\n\t\t\t}\n\t\t});\n\n\treturn {\n\t\tc() {\n\t\t\tcreate_component(imagerotator.$$.fragment);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tmount_component(imagerotator, target, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tconst imagerotator_changes = {};\n\t\t\tif (dirty[0] & /*$elasticityMultiplier*/ 33554432) imagerotator_changes.elasticity = /*$elasticityMultiplier*/ ctx[25] * /*rangeInputElasticity*/ ctx[43];\n\t\t\tif (dirty[0] & /*$imageRotation*/ 16384) imagerotator_changes.rotation = /*$imageRotation*/ ctx[14];\n\t\t\tif (dirty[0] & /*locale*/ 16) imagerotator_changes.labelReset = /*locale*/ ctx[4].labelReset;\n\t\t\tif (dirty[0] & /*$imageRotationRange*/ 67108864) imagerotator_changes.valueMin = /*$imageRotationRange*/ ctx[26][0];\n\t\t\tif (dirty[0] & /*$imageRotationRange*/ 67108864) imagerotator_changes.valueMax = /*$imageRotationRange*/ ctx[26][1];\n\t\t\tif (dirty[0] & /*cropRotationRange*/ 8) imagerotator_changes.rotationMin = -/*cropRotationRange*/ ctx[3];\n\t\t\tif (dirty[0] & /*cropRotationRange*/ 8) imagerotator_changes.rotationMax = /*cropRotationRange*/ ctx[3];\n\t\t\timagerotator.$set(imagerotator_changes);\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(imagerotator.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(imagerotator.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tdestroy_component(imagerotator, detaching);\n\t\t}\n\t};\n}\n\n// (1596:12) <TabPanels                 class=\"PinturaControlPanels\"                 panelClass=\"PinturaControlPanel\"                 {panels}                 {...tabsConfig}                 let:panel             >\nfunction create_default_slot$a(ctx) {\n\tlet current_block_type_index;\n\tlet if_block;\n\tlet if_block_anchor;\n\tlet current;\n\tconst if_block_creators = [create_if_block_1$4, create_if_block_2$3];\n\tconst if_blocks = [];\n\n\tfunction select_block_type(ctx, dirty) {\n\t\tif (/*panel*/ ctx[215] === /*cropUniqueId*/ ctx[93] + '-rotation') return 0;\n\t\tif (/*panel*/ ctx[215] === /*cropUniqueId*/ ctx[93] + '-zoom') return 1;\n\t\treturn -1;\n\t}\n\n\tif (~(current_block_type_index = select_block_type(ctx))) {\n\t\tif_block = if_blocks[current_block_type_index] = if_block_creators[current_block_type_index](ctx);\n\t}\n\n\treturn {\n\t\tc() {\n\t\t\tif (if_block) if_block.c();\n\t\t\tif_block_anchor = empty();\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tif (~current_block_type_index) {\n\t\t\t\tif_blocks[current_block_type_index].m(target, anchor);\n\t\t\t}\n\n\t\t\tinsert(target, if_block_anchor, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tlet previous_block_index = current_block_type_index;\n\t\t\tcurrent_block_type_index = select_block_type(ctx);\n\n\t\t\tif (current_block_type_index === previous_block_index) {\n\t\t\t\tif (~current_block_type_index) {\n\t\t\t\t\tif_blocks[current_block_type_index].p(ctx, dirty);\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\tif (if_block) {\n\t\t\t\t\tgroup_outros();\n\n\t\t\t\t\ttransition_out(if_blocks[previous_block_index], 1, 1, () => {\n\t\t\t\t\t\tif_blocks[previous_block_index] = null;\n\t\t\t\t\t});\n\n\t\t\t\t\tcheck_outros();\n\t\t\t\t}\n\n\t\t\t\tif (~current_block_type_index) {\n\t\t\t\t\tif_block = if_blocks[current_block_type_index];\n\n\t\t\t\t\tif (!if_block) {\n\t\t\t\t\t\tif_block = if_blocks[current_block_type_index] = if_block_creators[current_block_type_index](ctx);\n\t\t\t\t\t\tif_block.c();\n\t\t\t\t\t} else {\n\t\t\t\t\t\tif_block.p(ctx, dirty);\n\t\t\t\t\t}\n\n\t\t\t\t\ttransition_in(if_block, 1);\n\t\t\t\t\tif_block.m(if_block_anchor.parentNode, if_block_anchor);\n\t\t\t\t} else {\n\t\t\t\t\tif_block = null;\n\t\t\t\t}\n\t\t\t}\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(if_block);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(if_block);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (~current_block_type_index) {\n\t\t\t\tif_blocks[current_block_type_index].d(detaching);\n\t\t\t}\n\n\t\t\tif (detaching) detach(if_block_anchor);\n\t\t}\n\t};\n}\n\n// (1584:4) \nfunction create_footer_slot$6(ctx) {\n\tlet div;\n\tlet current;\n\tlet if_block = /*shouldRenderFooter*/ ctx[19] && create_if_block$5(ctx);\n\n\treturn {\n\t\tc() {\n\t\t\tdiv = element(\"div\");\n\t\t\tif (if_block) if_block.c();\n\t\t\tattr(div, \"slot\", \"footer\");\n\t\t\tattr(div, \"style\", /*footerStyle*/ ctx[16]);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, div, anchor);\n\t\t\tif (if_block) if_block.m(div, null);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tif (/*shouldRenderFooter*/ ctx[19]) {\n\t\t\t\tif (if_block) {\n\t\t\t\t\tif_block.p(ctx, dirty);\n\n\t\t\t\t\tif (dirty[0] & /*shouldRenderFooter*/ 524288) {\n\t\t\t\t\t\ttransition_in(if_block, 1);\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tif_block = create_if_block$5(ctx);\n\t\t\t\t\tif_block.c();\n\t\t\t\t\ttransition_in(if_block, 1);\n\t\t\t\t\tif_block.m(div, null);\n\t\t\t\t}\n\t\t\t} else if (if_block) {\n\t\t\t\tgroup_outros();\n\n\t\t\t\ttransition_out(if_block, 1, 1, () => {\n\t\t\t\t\tif_block = null;\n\t\t\t\t});\n\n\t\t\t\tcheck_outros();\n\t\t\t}\n\n\t\t\tif (!current || dirty[0] & /*footerStyle*/ 65536) {\n\t\t\t\tattr(div, \"style\", /*footerStyle*/ ctx[16]);\n\t\t\t}\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(if_block);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(if_block);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(div);\n\t\t\tif (if_block) if_block.d();\n\t\t}\n\t};\n}\n\nfunction create_fragment$m(ctx) {\n\tlet util;\n\tlet updating_root;\n\tlet current;\n\n\tfunction util_root_binding(value) {\n\t\t/*util_root_binding*/ ctx[164](value);\n\t}\n\n\tlet util_props = {\n\t\thasHeader: /*shouldRenderToolbar*/ ctx[20],\n\t\t$$slots: {\n\t\t\tfooter: [create_footer_slot$6],\n\t\t\tmain: [create_main_slot$1],\n\t\t\theader: [create_header_slot]\n\t\t},\n\t\t$$scope: { ctx }\n\t};\n\n\tif (/*root*/ ctx[15] !== void 0) {\n\t\tutil_props.root = /*root*/ ctx[15];\n\t}\n\n\tutil = new Util({ props: util_props });\n\tbinding_callbacks.push(() => bind(util, 'root', util_root_binding));\n\tutil.$on(\"measure\", /*measure_handler*/ ctx[165]);\n\n\treturn {\n\t\tc() {\n\t\t\tcreate_component(util.$$.fragment);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tmount_component(util, target, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tconst util_changes = {};\n\t\t\tif (dirty[0] & /*shouldRenderToolbar*/ 1048576) util_changes.hasHeader = /*shouldRenderToolbar*/ ctx[20];\n\n\t\t\tif (dirty[0] & /*footerStyle, panels, tabsConfig, $elasticityMultiplier, $imageRotation, locale, $imageRotationRange, cropRotationRange, imageZoomLevelMin, $imageZoomLevelRange, $imageZoomLevel, tabs, transformSelected, shouldRenderFooter, $imageCropRect, shouldRenderInfoIndicator, stageRef, cropEnableZoom, $rootRect, imageSelectionRectOffset, $isActive, cropImageSelectionCornerStyle, shouldRenderImageSelection, canCenter, $recenterOpacity, $recenterOffset, shouldRenderImageSelectionRecenterButton, cropTools*/ 2146402302 | dirty[7] & /*$$scope*/ 1) {\n\t\t\t\tutil_changes.$$scope = { dirty, ctx };\n\t\t\t}\n\n\t\t\tif (!updating_root && dirty[0] & /*root*/ 32768) {\n\t\t\t\tupdating_root = true;\n\t\t\t\tutil_changes.root = /*root*/ ctx[15];\n\t\t\t\tadd_flush_callback(() => updating_root = false);\n\t\t\t}\n\n\t\t\tutil.$set(util_changes);\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(util.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(util.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tdestroy_component(util, detaching);\n\t\t}\n\t};\n}\n\nconst imageZoomLevelMax = 1;\nconst imageZoomLevelBase = 0;\nconst interactable_function$1 = (e, element) => e.target === element;\n\nfunction instance$m($$self, $$props, $$invalidate) {\n\tlet hasCropSelectPresetOptions;\n\tlet cropTools;\n\tlet imageZoomLevelMin;\n\tlet imageSelectionOffset;\n\tlet imageSelectionCenter;\n\tlet imageSelectionCenteredRect;\n\tlet isImageSelectionDisplayed;\n\tlet isImageSelectionCentered;\n\tlet isResizingSelection;\n\tlet isMaxSelectionRect;\n\tlet isOverlayMode;\n\tlet canZoomToCenter;\n\tlet canCenter;\n\tlet shouldRenderInfoIndicator;\n\tlet shouldRenderImageSelection;\n\tlet shouldRenderImageSelectionRecenterButton;\n\tlet imageSelectionRectOffset;\n\tlet hasPlentyVerticalSpace;\n\tlet shouldRenderPresetSelect;\n\tlet shouldRenderToolbar;\n\tlet couldRenderZoomInput;\n\tlet shouldRenderZoomInput;\n\tlet shouldRenderFooter;\n\tlet tabsConfig;\n\tlet tabs;\n\tlet panels;\n\tlet footerStyle;\n\tlet $footerOffset;\n\n\tlet $isActive,\n\t\t$$unsubscribe_isActive = noop,\n\t\t$$subscribe_isActive = () => ($$unsubscribe_isActive(), $$unsubscribe_isActive = subscribe(isActive, $$value => $$invalidate(12, $isActive = $$value)), isActive);\n\n\tlet $isAnimated;\n\tlet $env;\n\tlet $imageSelectionGuides;\n\tlet $imageOverlayMarkup;\n\tlet $stagePadded;\n\tlet $imagePreviewModifiers;\n\tlet $imageSelectionRectPresentation;\n\tlet $isInteracting;\n\tlet $imageIsStatic;\n\tlet $imageCropRect;\n\tlet $imageScalar;\n\tlet $presentationScalar;\n\tlet $utilRectPadded;\n\tlet $imageSelectionRectSnapshot;\n\tlet $imageSelectionRect;\n\tlet $stageRect;\n\tlet $isTransformingImage;\n\tlet $imageCropRangeAspectRatio;\n\tlet $imageSize;\n\tlet $imageRotation;\n\tlet $imageCropLimitToImage;\n\tlet $imageCropMinSize;\n\tlet $rootRect;\n\tlet $imageCropRectIntent;\n\tlet $imageCropRange;\n\tlet $imageCropRectOrigin;\n\tlet $imageCropAspectRatio;\n\tlet $imageCropMaxSize;\n\tlet $imageStaticVisualCorners;\n\tlet $imageSelectionRectIntent;\n\tlet $utilTools;\n\tlet $imageOutputSize;\n\tlet $selectedPresetIndex;\n\tlet $formattedCropPresetOptions;\n\tlet $imageFlipY;\n\tlet $imageFlipX;\n\tlet $redrawTrigger;\n\tlet $elasticityMultiplier;\n\tlet $imageRotationRange;\n\tlet $imageZoomLevelRange;\n\tlet $imageZoomLevel;\n\tlet $recenterOpacity;\n\tlet $recenterOffset;\n\t$$self.$$.on_destroy.push(() => $$unsubscribe_isActive());\n\tconst name = 'crop';\n\tlet { isActive } = $$props;\n\t$$subscribe_isActive();\n\tlet { stores } = $$props;\n\tlet { cropImageSelectionCornerStyle = 'circle' } = $$props;\n\n\tlet { cropWillRenderImageSelectionGuides = (interaction, interactionFraction) => {\n\t\tconst isRotating = interaction == 'rotate';\n\n\t\treturn {\n\t\t\trows: isRotating ? 5 : 3,\n\t\t\tcols: isRotating ? 5 : 3,\n\t\t\topacity: interactionFraction * 0.25\n\t\t};\n\t} } = $$props;\n\n\tlet { cropAutoCenterImageSelectionTimeout = undefined } = $$props;\n\tlet { cropEnableZoomMatchImageAspectRatio = true } = $$props;\n\tlet { cropEnableRotateMatchImageAspectRatio = 'never' } = $$props;\n\tlet { cropEnableRotationInput = true } = $$props;\n\tlet { cropEnableZoom = true } = $$props;\n\tlet { cropEnableZoomInput = true } = $$props;\n\tlet { cropEnableZoomAutoHide = true } = $$props;\n\tlet { cropEnableImageSelection = true } = $$props;\n\tlet { cropEnableInfoIndicator = false } = $$props;\n\tlet { cropEnableZoomTowardsWheelPosition = true } = $$props;\n\tlet { cropEnableLimitWheelInputToCropSelection = true } = $$props;\n\tlet { cropEnableCenterImageSelection = true } = $$props;\n\tlet { cropEnableButtonRotateLeft = true } = $$props;\n\tlet { cropEnableButtonRotateRight = false } = $$props;\n\tlet { cropEnableButtonFlipHorizontal = true } = $$props;\n\tlet { cropEnableButtonFlipVertical = false } = $$props;\n\tlet { cropSelectPresetOptions = undefined } = $$props;\n\tlet { cropEnableSelectPreset = true } = $$props;\n\tlet { cropEnableFilterMatchAspectRatio = true } = $$props;\n\tlet { cropSelectPresetFilter = false } = $$props;\n\tlet { cropEnableButtonToggleCropLimit = false } = $$props;\n\tlet { cropWillRenderTools = passthrough } = $$props;\n\tlet { cropActiveTransformTool = 'rotation' } = $$props;\n\tlet { cropMinimizeToolbar = 'auto' } = $$props;\n\tlet { cropInteractionFocus = 'image' } = $$props;\n\tlet { cropRotationRange = QUART_PI } = $$props;\n\tlet { cropMaskOpacity = 0.85 } = $$props;\n\tlet { locale = {} } = $$props;\n\n\t// context\n\tconst isAnimated = getContext('isAnimated');\n\n\tcomponent_subscribe($$self, isAnimated, value => $$invalidate(139, $isAnimated = value));\n\tconst elasticityMultiplier = getContext('elasticityMultiplier');\n\tcomponent_subscribe($$self, elasticityMultiplier, value => $$invalidate(25, $elasticityMultiplier = value));\n\tconst redrawTrigger = getContext('redrawTrigger');\n\tcomponent_subscribe($$self, redrawTrigger, value => $$invalidate(159, $redrawTrigger = value));\n\tconst imageIsStatic = getContext('imageIsStatic');\n\tcomponent_subscribe($$self, imageIsStatic, value => $$invalidate(145, $imageIsStatic = value));\n\tconst imageStaticVisualCorners = getContext('imageStaticVisualCorners');\n\tcomponent_subscribe($$self, imageStaticVisualCorners, value => $$invalidate(181, $imageStaticVisualCorners = value));\n\n\t// state\n\tlet interaction = 'idle';\n\n\t// formatted crop select options\n\tconst formattedCropPresetOptions = writable();\n\n\tcomponent_subscribe($$self, formattedCropPresetOptions, value => $$invalidate(156, $formattedCropPresetOptions = value));\n\n\t// #region helpers\n\tconst isCustomCrop = () => $imageCropAspectRatio === undefined;\n\n\tconst turnAspectRatio = aspectRatio => 1 / aspectRatio;\n\n\tconst applyCropPresetFilter = filter => {\n\t\t// no change\n\t\tif (!cropEnableFilterMatchAspectRatio || cropSelectPresetFilter === filter) return;\n\n\t\t// change\n\t\t$$invalidate(95, cropSelectPresetFilter = filter);\n\n\t\t// square or free, exit\n\t\tif (!$imageCropAspectRatio || $imageCropAspectRatio === 1) return;\n\n\t\tif (!hasValidRotatedCropAspectRatio()) return;\n\t\tset_store_value(imageCropAspectRatio, $imageCropAspectRatio = turnAspectRatio($imageCropAspectRatio), $imageCropAspectRatio);\n\t};\n\n\tconst hasValidRotatedCropAspectRatio = () => {\n\t\t// no options available, forced crop aspect ratio\n\t\tif ($imageCropAspectRatio === 1 || !hasCropSelectPresetOptions) return false;\n\n\t\t// get rotated\n\t\tconst rotatedImageCropAspectRatio = turnAspectRatio($imageCropAspectRatio);\n\n\t\t// options available but no valid option in list\n\t\tif (!flattenOptions($formattedCropPresetOptions).find(([aspectRatio]) => aspectRatio === rotatedImageCropAspectRatio)) {\n\t\t\treturn false;\n\t\t}\n\n\t\treturn true;\n\t};\n\n\tconst isCropMaxSize = (imageCropRect, imageSize, imageRotation) => isRotatedSideways(imageRotation)\n\t? imageSize.width === Math.round(imageCropRect.height) || imageSize.height === Math.round(imageCropRect.width)\n\t: imageSize.width === Math.round(imageCropRect.width) || imageSize.height === Math.round(imageCropRect.height);\n\n\tconst isCropCentered = (imageCropRect, imageSize, imageRotation) => {\n\t\tconst imageSizeRotated = sizeApply(sizeRotate(sizeClone(imageSize), imageRotation), v => Math.abs(Math.round(v)));\n\t\tconst imageCenter = sizeCenter(imageSizeRotated);\n\t\tconst cropCenter = rectCenter(imageCropRect);\n\t\treturn vectorEqual(imageCenter, cropCenter);\n\t};\n\n\tconst canMatchCropAspectRatioToRotation = () => // is custom crop mode\n\t(isCustomCrop() || // can match preset crop and preset is available\n\tcropEnableRotateMatchImageAspectRatio === 'always' && hasValidRotatedCropAspectRatio()) && isCropCentered($imageCropRect, $imageSize, $imageRotation) && isCropMaxSize($imageCropRect, $imageSize, $imageRotation);\n\n\tconst applyRotation = value => {\n\t\tif (cropEnableRotateMatchImageAspectRatio !== 'never' && canMatchCropAspectRatioToRotation()) {\n\t\t\tset_store_value(imageRotation, $imageRotation += value, $imageRotation);\n\t\t\tconst isRotated = isRotatedSideways($imageRotation);\n\t\t\tconst w = isRotated ? $imageSize.height : $imageSize.width;\n\t\t\tconst h = isRotated ? $imageSize.width : $imageSize.height;\n\t\t\tset_store_value(imageCropRect, $imageCropRect = rectCreate(0, 0, w, h), $imageCropRect);\n\t\t\tif (!isCustomCrop()) set_store_value(imageCropAspectRatio, $imageCropAspectRatio = getAspectRatio(w, h), $imageCropAspectRatio);\n\t\t} else {\n\t\t\tset_store_value(imageRotation, $imageRotation += value, $imageRotation);\n\t\t}\n\t};\n\n\t//#endregion\n\tconst { history, env, isInteracting, isInteractingFraction, isTransformingImage, rootRect, stageRect, utilRect, utilRectPadded, rootLineColor, allowPan, allowZoom, rangeInputElasticity, presentationScalar, utilTools, // effect filtering\n\timagePreviewModifiers, imageOutlineOpacity, // crop selection\n\timageFlipX, imageFlipY, imageRotation, imageRotationRange, imageOutputSize, imageSelectionRect, imageSelectionRectSnapshot, imageSelectionRectIntent, imageSelectionRectPresentation, imageCropRectIntent, imageCropRectOrigin, imageCropRect, imageCropMinSize, imageCropMaxSize, imageCropRange, imageCropAspectRatio, imageCropLimitToImage, imageSize, imageScalar, imageOverlayMarkup, stagePadded, stageRecenter } = stores;\n\n\tcomponent_subscribe($$self, env, value => $$invalidate(140, $env = value));\n\tcomponent_subscribe($$self, isInteracting, value => $$invalidate(144, $isInteracting = value));\n\tcomponent_subscribe($$self, isTransformingImage, value => $$invalidate(174, $isTransformingImage = value));\n\tcomponent_subscribe($$self, rootRect, value => $$invalidate(24, $rootRect = value));\n\tcomponent_subscribe($$self, stageRect, value => $$invalidate(151, $stageRect = value));\n\tcomponent_subscribe($$self, utilRectPadded, value => $$invalidate(148, $utilRectPadded = value));\n\tcomponent_subscribe($$self, presentationScalar, value => $$invalidate(147, $presentationScalar = value));\n\tcomponent_subscribe($$self, utilTools, value => $$invalidate(183, $utilTools = value));\n\tcomponent_subscribe($$self, imagePreviewModifiers, value => $$invalidate(173, $imagePreviewModifiers = value));\n\tcomponent_subscribe($$self, imageFlipX, value => $$invalidate(158, $imageFlipX = value));\n\tcomponent_subscribe($$self, imageFlipY, value => $$invalidate(157, $imageFlipY = value));\n\tcomponent_subscribe($$self, imageRotation, value => $$invalidate(14, $imageRotation = value));\n\tcomponent_subscribe($$self, imageRotationRange, value => $$invalidate(26, $imageRotationRange = value));\n\tcomponent_subscribe($$self, imageOutputSize, value => $$invalidate(184, $imageOutputSize = value));\n\tcomponent_subscribe($$self, imageSelectionRect, value => $$invalidate(150, $imageSelectionRect = value));\n\tcomponent_subscribe($$self, imageSelectionRectSnapshot, value => $$invalidate(149, $imageSelectionRectSnapshot = value));\n\tcomponent_subscribe($$self, imageSelectionRectIntent, value => $$invalidate(182, $imageSelectionRectIntent = value));\n\tcomponent_subscribe($$self, imageSelectionRectPresentation, value => $$invalidate(143, $imageSelectionRectPresentation = value));\n\tcomponent_subscribe($$self, imageCropRectIntent, value => $$invalidate(176, $imageCropRectIntent = value));\n\tcomponent_subscribe($$self, imageCropRectOrigin, value => $$invalidate(178, $imageCropRectOrigin = value));\n\tcomponent_subscribe($$self, imageCropRect, value => $$invalidate(13, $imageCropRect = value));\n\tcomponent_subscribe($$self, imageCropMinSize, value => $$invalidate(154, $imageCropMinSize = value));\n\tcomponent_subscribe($$self, imageCropMaxSize, value => $$invalidate(180, $imageCropMaxSize = value));\n\tcomponent_subscribe($$self, imageCropRange, value => $$invalidate(177, $imageCropRange = value));\n\tcomponent_subscribe($$self, imageCropAspectRatio, value => $$invalidate(179, $imageCropAspectRatio = value));\n\tcomponent_subscribe($$self, imageCropLimitToImage, value => $$invalidate(153, $imageCropLimitToImage = value));\n\tcomponent_subscribe($$self, imageSize, value => $$invalidate(152, $imageSize = value));\n\tcomponent_subscribe($$self, imageScalar, value => $$invalidate(146, $imageScalar = value));\n\tcomponent_subscribe($$self, imageOverlayMarkup, value => $$invalidate(172, $imageOverlayMarkup = value));\n\tcomponent_subscribe($$self, stagePadded, value => $$invalidate(142, $stagePadded = value));\n\n\t// #endregion\n\t// #region adjusting crop selection\n\t// let presentationScalarSnapshot;\n\t// let imageSelectionRectMinSize;\n\t// let imageSelectionRectMaxSize;\n\tlet imageSelectionTranslator;\n\n\tconst handleSelectionGrab = () => {\n\t\tinteraction = 'select';\n\n\t\t// now interacting\n\t\tset_store_value(isInteracting, $isInteracting = true, $isInteracting);\n\n\t\t// we remember the current view rect and crop rect, because that is the crop rect we use as a starting point to transform while dragging\n\t\tset_store_value(imageSelectionRectSnapshot, $imageSelectionRectSnapshot = rectClone$1($imageSelectionRect), $imageSelectionRectSnapshot);\n\n\t\t// which translator to use\n\t\timageSelectionTranslator = $imageIsStatic\n\t\t? translateStaticSelection\n\t\t: translateImageSelection;\n\t};\n\n\tconst handleSelectionDrag = ({ detail }) => {\n\t\tconst { boundsLimited, boundsIntent } = imageSelectionTranslator(detail.direction, detail.translation);\n\n\t\t// now transforming image\n\t\tset_store_value(isTransformingImage, $isTransformingImage = true, $isTransformingImage);\n\n\t\t// update actual image selection rectangle\n\t\tset_store_value(imageSelectionRectIntent, $imageSelectionRectIntent = boundsIntent, $imageSelectionRectIntent); // intent needs to be updated first because has no listeners attached\n\n\t\tset_store_value(imageSelectionRect, $imageSelectionRect = boundsLimited, $imageSelectionRect);\n\t};\n\n\tconst handleSelectionRelease = ({ detail }) => {\n\t\tconst { boundsLimited } = imageSelectionTranslator(detail.direction, detail.translation);\n\n\t\t// no longer transforming image\n\t\tset_store_value(isTransformingImage, $isTransformingImage = false, $isTransformingImage);\n\n\t\t// we're no longer interacting with the image selection, we need to set this here so the image selection presentation is animated when applying the new bounds below\n\t\tset_store_value(isInteracting, $isInteracting = false, $isInteracting);\n\n\t\t// no more intent as we're finalizing the selection, so before setting the final selection, we set this to undefined | intent needs to be updated first because has no listeners attached\n\t\tset_store_value(imageSelectionRectIntent, $imageSelectionRectIntent = undefined, $imageSelectionRectIntent);\n\n\t\t// confirm the limited rect if actually made a change\n\t\tif (vectorLength(detail.translation)) {\n\t\t\tset_store_value(imageSelectionRect, $imageSelectionRect = boundsLimited, $imageSelectionRect);\n\t\t\thistory.write();\n\t\t}\n\n\t\t// need to set this to undefined after setting the final rect, the snapshot is used to calculate the crop rect transform\n\t\tset_store_value(imageSelectionRectSnapshot, $imageSelectionRectSnapshot = undefined, $imageSelectionRectSnapshot);\n\n\t\t// done interacting with selection\n\t\tinteraction = undefined;\n\t};\n\n\tconst translateStaticSelection = (target, translate) => {\n\t\t// - selection may grow to max bounds (util bounds when _not_ static image)\n\t\t// - when image is static selection may grow to image polygon edges\n\t\t// - when not static image the image preview(!) is scaled to fit the selection, actual image size is not affected\n\t\t// - we always need to make sure the selection adheres to the aspect ratio of the min size\n\t\tconst directionTranslation = { target, translate };\n\n\t\tconst imageSelectionRectMinSize = sizeScale(sizeClone($imageCropMinSize), $presentationScalar);\n\t\tconst imageSelectionRectMaxSize = sizeScale(sizeClone($imageCropMaxSize), $presentationScalar);\n\n\t\t// make sure not smaller\n\t\tlet rectIntended = limitRectDirectionTranslation($imageSelectionRectSnapshot, directionTranslation, { ...$utilRectPadded, x: 0, y: 0 }, {\n\t\t\taspectRatio: $imageCropAspectRatio,\n\t\t\tminSize: imageSelectionRectMinSize,\n\t\t\tmaxSize: imageSelectionRectMaxSize\n\t\t});\n\n\t\t// limit selection rect to util bounds\n\t\trectIntended = rectLimitInRect(rectIntended, { ...$utilRectPadded, x: 0, y: 0 }, $imageCropAspectRatio);\n\n\t\t// no limits\n\t\tif (!$imageCropLimitToImage) {\n\t\t\treturn {\n\t\t\t\tboundsLimited: rectIntended,\n\t\t\t\tboundsIntent: rectIntended\n\t\t\t};\n\t\t}\n\n\t\t// limit to image\n\t\tlet rectLimited = getRectLimitedToQuad($imageSelectionRectSnapshot, rectIntended, directionTranslation, $imageStaticVisualCorners, {\n\t\t\taspectRatio: $imageCropAspectRatio,\n\t\t\tminSize: imageSelectionRectMinSize,\n\t\t\tmaxSize: imageSelectionRectMaxSize\n\t\t});\n\n\t\treturn {\n\t\t\tboundsLimited: rectLimited,\n\t\t\tboundsIntent: rectLimited\n\t\t};\n\t};\n\n\tconst translateImageSelection = (target, translate) => {\n\t\tconst directionTranslation = { target, translate };\n\t\tconst imageSelectionRectMinSize = sizeScale(sizeClone($imageCropMinSize), $presentationScalar);\n\t\tconst imageSelectionRectMaxSize = sizeScale(sizeClone($imageCropMaxSize), $presentationScalar);\n\n\t\tconst rectIntended = applyRectDirectionTranslation($imageSelectionRectSnapshot, directionTranslation, {\n\t\t\taspectRatio: $imageCropAspectRatio,\n\t\t\t// used to make sure that min size is respected when dragging from centered anchor point (dragging edge), if we don't do this we get unwanted elastic effects when the presented image is scaled while dragging an edge\n\t\t\tminSize: imageSelectionRectMinSize\n\t\t});\n\n\t\t// limit rectangle to util bounds\n\t\tconst rectLimited = limitRectDirectionTranslation($imageSelectionRectSnapshot, directionTranslation, { ...$utilRectPadded, x: 0, y: 0 }, {\n\t\t\taspectRatio: $imageCropAspectRatio,\n\t\t\tminSize: imageSelectionRectMinSize,\n\t\t\tmaxSize: imageSelectionRectMaxSize\n\t\t});\n\n\t\treturn {\n\t\t\tboundsLimited: rectLimited,\n\t\t\tboundsIntent: rectIntended\n\t\t};\n\t};\n\n\t// #endregion\n\t// #region rotating\n\tconst handleRotateStart = () => {\n\t\tinteraction = 'rotate';\n\n\t\t// now interacting with view\n\t\tset_store_value(isInteracting, $isInteracting = true, $isInteracting);\n\n\t\t// we need to know the origin of the crop so we can \"shrink\" the image to fit the crop rect while rotating\n\t\tset_store_value(imageCropRectOrigin, $imageCropRectOrigin = rectClone$1($imageCropRect), $imageCropRectOrigin);\n\t};\n\n\tconst handleRotateMove = value => {\n\t\t// now transforming image\n\t\tset_store_value(isTransformingImage, $isTransformingImage = true, $isTransformingImage);\n\n\t\tset_store_value(imageRotation, $imageRotation = value, $imageRotation); // will auto validate\n\t};\n\n\tconst handleRotateEnd = value => {\n\t\t// no longer transforming image\n\t\tset_store_value(isTransformingImage, $isTransformingImage = false, $isTransformingImage);\n\n\t\t// we're done interacting\n\t\tset_store_value(isInteracting, $isInteracting = false, $isInteracting);\n\n\t\t// apply our final rotation value\n\t\tset_store_value(imageRotation, $imageRotation = value, $imageRotation);\n\n\t\thistory.write();\n\n\t\t// done, so we no longer need to \"shrink\" the image\n\t\tset_store_value(imageCropRectOrigin, $imageCropRectOrigin = undefined, $imageCropRectOrigin);\n\t};\n\n\t// #endregion\n\t// #region moving\n\tlet interactionCropRect = undefined;\n\n\tlet interactionCropRectForce = undefined;\n\n\tconst handleImageDragStart = () => {\n\t\tinteraction = 'pan';\n\t\tinteractionCropRectForce = undefined;\n\t\tset_store_value(isInteracting, $isInteracting = true, $isInteracting);\n\t\tinteractionCropRect = rectClone$1($imageCropRect);\n\t};\n\n\tconst handleImageDrag = ({ detail }) => {\n\t\t// now transforming image\n\t\tset_store_value(isTransformingImage, $isTransformingImage = true, $isTransformingImage);\n\n\t\tmanipulateImage(detail);\n\t};\n\n\tconst handleImageDragEnd = ({ detail }) => {\n\t\t// no longer transforming image\n\t\tset_store_value(isTransformingImage, $isTransformingImage = false, $isTransformingImage);\n\n\t\t// done interacting\n\t\tset_store_value(isInteracting, $isInteracting = false, $isInteracting);\n\n\t\t// apply translation to the crop rect only if did make changes\n\t\tif (vectorLength(detail.translation) > 0 || detail.scalar !== 0) {\n\t\t\tmanipulateImage(detail);\n\t\t\thistory.write();\n\t\t}\n\n\t\t// no intent (needs to be set before crop rect is updated)\n\t\tset_store_value(imageCropRectIntent, $imageCropRectIntent = undefined, $imageCropRectIntent);\n\n\t\t// now done\n\t\tinteractionCropRect = undefined;\n\t};\n\n\tconst handleImageDragRelease = ({ detail: { translation } }) => {\n\t\t// flip translation direction as we are dragging crop selection\n\t\tif ($imageIsStatic) translation = vectorInvert(vectorClone(translation));\n\n\t\tinteractionCropRectForce = translation;\n\t\tset_store_value(isInteracting, $isInteracting = false, $isInteracting);\n\t};\n\n\tconst manipulateImage = ({ translation, scalar }) => {\n\t\t// flip translation direction as we are dragging crop selection\n\t\tif ($imageIsStatic) {\n\t\t\tscalar = 1;\n\t\t\ttranslation = vectorInvert(vectorClone(translation));\n\t\t}\n\n\t\tconst imageSelectionRectZoomFactor = Math.min($imageSelectionRect.width / $imageCropRect.width, $imageSelectionRect.height / $imageCropRect.height);\n\t\tconst scaledTranslation = vectorMultiply(vectorClone(translation), 1 / imageSelectionRectZoomFactor);\n\n\t\t// while we're interacting we apply changes to the original crop rectangle, after we apply a force\n\t\tlet cropIntent;\n\n\t\tif (!interactionCropRectForce) {\n\t\t\tcropIntent = rectTranslate$1(rectClone$1(interactionCropRect), vectorInvert(vectorClone(scaledTranslation)));\n\t\t\tif (scalar !== undefined) rectScale$1(cropIntent, 1 / scalar);\n\t\t} else {\n\t\t\t// we apply the force to the existing crop rect so animation is not borked\n\t\t\tconst forceTranslation = vectorSubtract(vectorClone(interactionCropRectForce), translation);\n\n\t\t\tinteractionCropRectForce = translation;\n\t\t\tcropIntent = rectTranslate$1(rectClone$1($imageCropRect), forceTranslation);\n\t\t}\n\n\t\t// update crop rect\n\t\tset_store_value(imageCropRectIntent, $imageCropRectIntent = cropIntent, $imageCropRectIntent); // auto calculates an elastic effect if bounds exceeded (needs to be set before crop rect is updated)\n\n\t\tset_store_value(imageCropRect, $imageCropRect = cropIntent, $imageCropRect); // auto limits to bounds if needed\n\t};\n\n\t// #endregion\n\t// #region resize with range input\n\tconst IMAGE_ZOOM_LEVEL_MIN = -1;\n\n\tconst calculateZoomLevel = (imageSize, size, imageRotation) => {\n\t\tif (isRotatedSideways(imageRotation)) {\n\t\t\treturn 1 - 1 / Math.min(imageSize.height / size.width, imageSize.width / size.height);\n\t\t}\n\n\t\treturn 1 - 1 / Math.min(imageSize.width / size.width, imageSize.height / size.height);\n\t};\n\n\tconst imageCropRangeAspectRatio = derived([imageCropRange, imageCropRect], ([$imageCropRange, $imageCropRect], set) => {\n\t\tif (!$imageCropRect) return;\n\t\tconst [minSize, maxSize] = $imageCropRange;\n\t\tconst aspectRatio = rectAspectRatio($imageCropRect);\n\n\t\tset([\n\t\t\tsizeCreateFromRect(rectApply(rectCoverRect(minSize, aspectRatio), fixPrecision)),\n\t\t\tsizeCreateFromRect(rectApply(rectContainRect(maxSize, aspectRatio), fixPrecision))\n\t\t]);\n\t});\n\n\tcomponent_subscribe($$self, imageCropRangeAspectRatio, value => $$invalidate(175, $imageCropRangeAspectRatio = value));\n\n\t// this is the max value range that can be set (triggers white range indicator bar)\n\tconst imageZoomLevelRange = derived(\n\t\t[\n\t\t\timageSize,\n\t\t\timageCropLimitToImage,\n\t\t\timageCropMinSize,\n\t\t\timageCropMaxSize,\n\t\t\timageCropRange,\n\t\t\timageRotation\n\t\t],\n\t\t([\n\t\t\t\t$imageSize,\n\t\t\t\t$imageCropLimitToImage,\n\t\t\t\t$imageCropMinSize,\n\t\t\t\t$imageCropMaxSize,\n\t\t\t\t$imageCropRange,\n\t\t\t\t$imageRotation\n\t\t\t], set) => {\n\t\t\tif (!$imageSize) return;\n\t\t\tconst rangeMinSize = $imageCropRange[0];\n\t\t\tconst rangeMaxSize = $imageCropRange[1];\n\t\t\tlet minZoom;\n\t\t\tlet maxZoom;\n\n\t\t\t// can't zoom out\n\t\t\tif ($imageCropLimitToImage) {\n\t\t\t\tminZoom = calculateZoomLevel($imageSize, rangeMaxSize, $imageRotation);\n\t\t\t\tmaxZoom = Math.min(rangeMinSize.width / $imageCropMinSize.width, rangeMinSize.height / $imageCropMinSize.height);\n\t\t\t} else {\n\t\t\t\tminZoom = IMAGE_ZOOM_LEVEL_MIN;\n\t\t\t\tmaxZoom = 1;\n\t\t\t}\n\n\t\t\tconst range = [minZoom, maxZoom].map(v => fixPrecision(v));\n\t\t\tset(range);\n\t\t}\n\t);\n\n\tcomponent_subscribe($$self, imageZoomLevelRange, value => $$invalidate(27, $imageZoomLevelRange = value));\n\n\tconst imageZoomLevel = derived([imageSize, imageCropRect, imageCropRange, imageRotation], ([$imageSize, $imageCropRect, $imageCropRange, $imageRotation], set) => {\n\t\t// need to check if this value is set, could be that it's empty while loading a new image\n\t\tif (!$imageSize || !$imageCropRect) return set(0);\n\n\t\tlet z;\n\t\tconst rangeMinSize = $imageCropRange[0];\n\t\tconst rangeMaxSize = $imageCropRange[1];\n\t\tconst currentCropWidth = $imageCropRect.width;\n\t\tconst currentCropHeight = $imageCropRect.height;\n\t\tconst currentCropAspectRatio = rectAspectRatio($imageCropRect);\n\n\t\tconst imageRect = isRotatedSideways($imageRotation)\n\t\t? sizeCreate($imageSize.height, $imageSize.width)\n\t\t: $imageSize;\n\n\t\tconst imageCropMaxRect = rectContainRect(imageRect, currentCropAspectRatio);\n\n\t\tif (currentCropWidth <= imageCropMaxRect.width || currentCropHeight <= imageCropMaxRect.height) {\n\t\t\t// zoomed in\n\t\t\tconst w = imageCropMaxRect.width - rangeMinSize.width;\n\n\t\t\tconst h = imageCropMaxRect.height - rangeMinSize.height;\n\n\t\t\t// cannot zoom in\n\t\t\tif (w === 0 || h === 0) {\n\t\t\t\tz = 1;\n\t\t\t} else {\n\t\t\t\tz = 1 - Math.min((currentCropWidth - rangeMinSize.width) / w, (currentCropHeight - rangeMinSize.height) / h);\n\t\t\t}\n\t\t} else {\n\t\t\t// zoomed out\n\t\t\tconst w = rangeMaxSize.width - imageCropMaxRect.width;\n\n\t\t\tconst h = rangeMaxSize.height - imageCropMaxRect.height;\n\t\t\tconst r = rectContainRect({ width: w, height: h }, currentCropAspectRatio);\n\t\t\tz = -Math.min((currentCropWidth - imageCropMaxRect.width) / r.width, (currentCropHeight - imageCropMaxRect.height) / r.height);\n\t\t}\n\n\t\tset(z);\n\t});\n\n\tcomponent_subscribe($$self, imageZoomLevel, value => $$invalidate(28, $imageZoomLevel = value));\n\n\tconst snapshotCropRect = () => {\n\t\tinteractionCropRect = rectClone$1($imageCropRect);\n\t};\n\n\tconst resizeImage = zoom => {\n\t\tconst aspectRatio = rectAspectRatio(interactionCropRect);\n\t\tlet targetWidth;\n\t\tlet targetHeight;\n\t\tlet r;\n\n\t\tconst imageRect = isRotatedSideways($imageRotation)\n\t\t? sizeCreate($imageSize.height, $imageSize.width)\n\t\t: $imageSize;\n\n\t\tconst imageCropMaxRect = rectContainRect(imageRect, aspectRatio);\n\n\t\tif (zoom >= 0) {\n\t\t\t// zoom in\n\t\t\tconst rangeWidth = imageCropMaxRect.width - $imageCropRange[0].width;\n\n\t\t\tconst rangeHeight = imageCropMaxRect.height - $imageCropRange[0].height;\n\t\t\ttargetWidth = imageCropMaxRect.width - rangeWidth * zoom;\n\t\t\ttargetHeight = imageCropMaxRect.height - rangeHeight * zoom;\n\t\t\tr = rectCoverRect({ width: targetWidth, height: targetHeight }, aspectRatio);\n\t\t} else {\n\t\t\t// zoom out\n\t\t\tconst rangeWidth = $imageCropRange[1].width - imageCropMaxRect.width;\n\n\t\t\tconst rangeHeight = $imageCropRange[1].height - imageCropMaxRect.height;\n\t\t\ttargetWidth = imageCropMaxRect.width + rangeWidth * -zoom;\n\t\t\ttargetHeight = imageCropMaxRect.height + rangeHeight * -zoom;\n\t\t\tr = rectContainRect({ width: targetWidth, height: targetHeight }, aspectRatio);\n\t\t}\n\n\t\ttargetWidth = r.width;\n\t\ttargetHeight = r.height;\n\t\tconst targetX = interactionCropRect.x + interactionCropRect.width * 0.5 - targetWidth * 0.5;\n\t\tconst targetY = interactionCropRect.y + interactionCropRect.height * 0.5 - targetHeight * 0.5;\n\n\t\tset_store_value(\n\t\t\timageCropRect,\n\t\t\t$imageCropRect = {\n\t\t\t\tx: targetX,\n\t\t\t\ty: targetY,\n\t\t\t\twidth: targetWidth,\n\t\t\t\theight: targetHeight\n\t\t\t},\n\t\t\t$imageCropRect\n\t\t);\n\t};\n\n\tconst handleResizeStart = () => {\n\t\tinteraction = 'zoom';\n\n\t\t// now interacting with view\n\t\tset_store_value(isInteracting, $isInteracting = true, $isInteracting);\n\n\t\tsnapshotCropRect();\n\t};\n\n\tconst handleResizeMove = value => {\n\t\t// now transforming image\n\t\tset_store_value(isTransformingImage, $isTransformingImage = false, $isTransformingImage);\n\n\t\t// value range from 0 (no zoom) to 1 (100% zoom, 1x1 pixel)\n\t\tresizeImage(value);\n\t};\n\n\tconst handleResizeEnd = value => {\n\t\tresizeImage(value);\n\t\thistory.write();\n\n\t\t// no longer transforming image\n\t\tset_store_value(isTransformingImage, $isTransformingImage = false, $isTransformingImage);\n\n\t\t// we're done interacting\n\t\tset_store_value(isInteracting, $isInteracting = false, $isInteracting);\n\n\t\t// now done\n\t\tinteractionCropRect = undefined;\n\t};\n\n\t//#endregion\n\t// #region resize with gesture (MacBook trackpad Safari)\n\tlet gestureOriginCropRect;\n\n\tconst handleGestureStart = () => {\n\t\tinteraction = 'zoom';\n\n\t\t// don't handle gesture as we're already handling input with interactable\n\t\tif (interactionCropRect) return;\n\n\t\tgestureOriginCropRect = rectClone$1($imageCropRect);\n\n\t\t// now interacting\n\t\tset_store_value(isInteracting, $isInteracting = true, $isInteracting);\n\t};\n\n\tconst handleGestureUpdate = ({ detail }) => {\n\t\t// don't handle gesture as we're already handling input with interactable\n\t\tif (!gestureOriginCropRect) return;\n\n\t\t// now transforming image\n\t\tset_store_value(isTransformingImage, $isTransformingImage = true, $isTransformingImage);\n\n\t\thandleScaleGesture(detail);\n\t};\n\n\tconst handleScaleGesture = scale => {\n\t\tconst cropIntent = rectScale$1(rectClone$1(gestureOriginCropRect), 1 / scale);\n\t\tset_store_value(imageCropRectIntent, $imageCropRectIntent = cropIntent, $imageCropRectIntent);\n\t\tset_store_value(imageCropRect, $imageCropRect = cropIntent, $imageCropRect);\n\t};\n\n\tconst handleGestureEnd = ({ detail }) => {\n\t\t// don't handle gesture as we're already handling input with interactable\n\t\tif (!gestureOriginCropRect) return;\n\n\t\t// no longer transforming image\n\t\tset_store_value(isTransformingImage, $isTransformingImage = false, $isTransformingImage);\n\n\t\t// no longer interacting\n\t\tset_store_value(isInteracting, $isInteracting = false, $isInteracting);\n\n\t\thandleScaleGesture(detail);\n\n\t\t// no intent (needs to be set before crop rect is updated)\n\t\tset_store_value(imageCropRectIntent, $imageCropRectIntent = undefined, $imageCropRectIntent);\n\n\t\tgestureOriginCropRect = undefined;\n\t\thistory.write();\n\t};\n\n\t// #endregion\n\t// #region resizing with wheel\n\tlet zoomHistoryTimeoutId;\n\n\tconst handleWheel = e => {\n\t\tconst stageWheelPosition = getEventPositionInStage(e, $rootRect, $stageRect);\n\n\t\t// only block input if wheel is used within image rectangle\n\t\tif (cropEnableLimitWheelInputToCropSelection && !rectContainsPoint($imageSelectionRect, stageWheelPosition)) return;\n\n\t\tinteraction = 'zoom';\n\n\t\t// now interacting\n\t\tset_store_value(isInteracting, $isInteracting = true, $isInteracting);\n\n\t\t// transforming image\n\t\tset_store_value(isTransformingImage, $isTransformingImage = true, $isTransformingImage);\n\n\t\t// don't run default actions, prevent other actions from running\n\t\te.preventDefault();\n\n\t\te.stopPropagation();\n\n\t\t// convert wheel delta to scalar\n\t\tconst delta = getWheelDelta(e);\n\n\t\tconst scalar = 1 + delta / 100;\n\n\t\t// get current crop rect\n\t\tconst currentCropRect = rectClone$1($imageCropRect);\n\n\t\t// if already zoomed in, block further zoom in instructions\n\t\tconst isMinSize = Math.min($imageCropRect.width / $imageCropMinSize.width, $imageCropRect.height / $imageCropMinSize.height) === 1;\n\n\t\t// if is fully zoomed out and trying to zoom out more and crop shape is free, fit image aspect ratio\n\t\tif (cropEnableZoomMatchImageAspectRatio && $imageCropLimitToImage) {\n\t\t\tconst isAtMaxCropSize = isCropMaxSize($imageCropRect, $imageSize, $imageRotation);\n\n\t\t\tif (isCustomCrop() && isAtMaxCropSize && delta > 0 && isImageSelectionCentered) {\n\t\t\t\tset_store_value(isInteracting, $isInteracting = false, $isInteracting);\n\n\t\t\t\t// no longer transforming image\n\t\t\t\tset_store_value(isTransformingImage, $isTransformingImage = false, $isTransformingImage);\n\n\t\t\t\tconst newCropRect = isRotatedSideways($imageRotation)\n\t\t\t\t? rectCreateFromSize({\n\t\t\t\t\t\theight: $imageSize.width,\n\t\t\t\t\t\twidth: $imageSize.height\n\t\t\t\t\t})\n\t\t\t\t: rectCreateFromSize($imageSize);\n\n\t\t\t\t// no change, exit\n\t\t\t\tif (rectEqual(currentCropRect, newCropRect)) return;\n\n\t\t\t\t// if we were previously zooming in we need to clear the timeout to prevent two history entries\n\t\t\t\tclearTimeout(zoomHistoryTimeoutId);\n\n\t\t\t\t// test if crop rect in history is same as new crop rect, this is possible when zooming in and out real quick\n\t\t\t\tif (rectEqual(history.state.crop, newCropRect)) return;\n\n\t\t\t\t// store new crop rect\n\t\t\t\tset_store_value(imageCropRect, $imageCropRect = newCropRect, $imageCropRect);\n\n\t\t\t\thistory.write();\n\t\t\t\treturn;\n\t\t\t}\n\t\t}\n\n\t\t// by default when zooming, zoom from center of crop rectangle\n\t\tlet origin = rectCenter($imageCropRect);\n\n\t\t// when zooming in, zoom in on the part of the image below the mouse cursor\n\t\tconst shouldZoomTowardsWheelPosition = cropEnableZoomTowardsWheelPosition && cropInteractionFocus !== 'selection';\n\n\t\tif (shouldZoomTowardsWheelPosition && delta < 0 && !isMinSize) {\n\t\t\tconst selectionOffset = vectorSubtract(vectorClone(stageWheelPosition), $imageSelectionRect);\n\t\t\tconst imageSelectionScale = Math.min($imageSelectionRect.width / $imageCropRect.width, $imageSelectionRect.height / $imageCropRect.height);\n\n\t\t\t// if wheel is inside image selection rectangle (slightly expanded version), we zoom based on position in the rectangle, if not, we use the selection center\n\t\t\tconst expandedImageSelection = rectScale$1(rectClone$1($imageSelectionRect), 1.1);\n\n\t\t\torigin = rectContainsPoint(expandedImageSelection, stageWheelPosition)\n\t\t\t? vectorAdd(rectClone$1($imageCropRect), vectorMultiply(selectionOffset, 1 / imageSelectionScale))\n\t\t\t: origin;\n\t\t}\n\n\t\tlet newCropRect = rectScale$1(rectClone$1($imageCropRect), scalar, origin);\n\n\t\t// determin if is new crop rect exceeds min or max size, if so, limit\n\t\tif (!sizeContains($imageCropRangeAspectRatio[1], newCropRect)) {\n\t\t\t// exceeds max size, limit to max size and position at new crop rect center\n\t\t\tnewCropRect = rectCreateWithCenter(rectCenter(newCropRect), $imageCropRangeAspectRatio[1]);\n\t\t}\n\n\t\tif (!sizeContains(newCropRect, $imageCropRangeAspectRatio[0])) {\n\t\t\t// exceeds min size, limit to min size and position at new crop rect center\n\t\t\tnewCropRect = rectCreateWithCenter(rectCenter(newCropRect), $imageCropRangeAspectRatio[0]);\n\t\t}\n\n\t\t// no change, exit\n\t\tif (rectEqual(currentCropRect, newCropRect, fixPrecision)) {\n\t\t\tset_store_value(isInteracting, $isInteracting = false, $isInteracting);\n\n\t\t\t// no longer transforming image\n\t\t\tset_store_value(isTransformingImage, $isTransformingImage = false, $isTransformingImage);\n\n\t\t\treturn;\n\t\t}\n\n\t\t// attempt to update the rectangle, we use fixPrecision so the width and height are nice integers when at max zoom (this makes sure the `isMinSize` variable is set to true at this point)\n\t\tset_store_value(imageCropRect, $imageCropRect = rectApply(newCropRect, v => fixPrecision(v, 5)), $imageCropRect);\n\n\t\t// done!\n\t\tset_store_value(isInteracting, $isInteracting = false, $isInteracting);\n\n\t\t// no longer transforming image\n\t\tset_store_value(isTransformingImage, $isTransformingImage = false, $isTransformingImage);\n\n\t\t// write history timer\n\t\tclearTimeout(zoomHistoryTimeoutId);\n\n\t\tzoomHistoryTimeoutId = setTimeout(\n\t\t\t() => {\n\t\t\t\thistory.write();\n\t\t\t},\n\t\t\t500\n\t\t);\n\t};\n\n\t// #endregion\n\t// #region recenter\n\t// triggers the editor to center and scale up the crop\n\tconst handleRecenterAction = () => {\n\t\t// force recenter\n\t\tstageRecenter.set({});\n\t};\n\n\t// auto recenter after timeout\n\tlet cropAutoCenterImageSelectionTimeoutId;\n\n\t// animations\n\tconst recenterOpacity = spring(0, { precision: 0.0001 });\n\n\tcomponent_subscribe($$self, recenterOpacity, value => $$invalidate(29, $recenterOpacity = value));\n\tconst recenterOffset = spring();\n\tcomponent_subscribe($$self, recenterOffset, value => $$invalidate(30, $recenterOffset = value));\n\n\t//\n\t// enable seeing the image outside of the crop area, and disable the vignette effect\n\t//\n\tconst setPreviewModifiers = () => {\n\t\tset_store_value(\n\t\t\timagePreviewModifiers,\n\t\t\t$imagePreviewModifiers['crop'] = {\n\t\t\t\tmaskOpacity: cropMaskOpacity,\n\t\t\t\tmaskMarkupOpacity: cropMaskOpacity\n\t\t\t},\n\t\t\t$imagePreviewModifiers\n\t\t);\n\n\t\t// trigger store update\n\t\timagePreviewModifiers.set($imagePreviewModifiers);\n\t};\n\n\tconst clearPreviewModifiers = () => {\n\t\tdelete $imagePreviewModifiers['crop'];\n\n\t\t// trigger store update\n\t\timagePreviewModifiers.set($imagePreviewModifiers);\n\t};\n\n\t// #region crop selection presets\n\tconst selectedPresetIndex = derived([imageCropAspectRatio, imageOutputSize, formattedCropPresetOptions], ([$cropAspectRatio, $imageOutputSize, $formattedCropPresetOptions], set) => {\n\t\tif (!hasCropSelectPresetOptions) return;\n\t\tconst options = flattenOptions($formattedCropPresetOptions);\n\n\t\tconst matchedOptionValue = [...options].// to value\n\t\tmap(option => option[0]).// sort sizes first\n\t\tsort((a, b) => {\n\t\t\tif (isArray(a[0]) && !isArray(b[0])) return 1;\n\t\t\treturn -1;\n\t\t}).// match value\n\t\tfind(value => {\n\t\t\tif (isArray(value) && $imageOutputSize) {\n\t\t\t\t// size + aspect ratio\n\t\t\t\tconst [width, height] = value;\n\n\t\t\t\tconst outputSizeMatches = $imageOutputSize.width === width && $imageOutputSize.height === height;\n\t\t\t\tconst aspectRatioMatches = $cropAspectRatio === getAspectRatio(width, height);\n\t\t\t\treturn outputSizeMatches && aspectRatioMatches;\n\t\t\t}\n\n\t\t\t// aspect ratio\n\t\t\treturn value === $cropAspectRatio;\n\t\t});\n\n\t\t// no options found, exit\n\t\tif (!matchedOptionValue) return set(undefined);\n\n\t\tconst index = options.// to value\n\t\tmap(option => option[0]).// find index of matching value\n\t\tfindIndex(value => isArray(value)\n\t\t? arrayEqual(value, matchedOptionValue)\n\t\t: value === matchedOptionValue);\n\n\t\tset(index);\n\t});\n\n\tcomponent_subscribe($$self, selectedPresetIndex, value => $$invalidate(155, $selectedPresetIndex = value));\n\n\tconst getAspectRatioBySelectedIndex = (selectedIndex, options) => {\n\t\tif (!hasCropSelectPresetOptions || selectedIndex === -1 || selectedIndex === undefined) return;\n\t\tconst selectedValue = flattenOptions(options)[selectedIndex][0];\n\n\t\treturn !selectedValue\n\t\t? undefined\n\t\t: isArray(selectedValue)\n\t\t\t? getAspectRatio(selectedValue[0], selectedValue[1])\n\t\t\t: selectedValue;\n\t};\n\n\t// #endregion\n\t// #region crop guides\n\tconst imageSelectionGuides = derived([rootLineColor, imageSelectionRectPresentation, isInteractingFraction], ([$rootLineColor, $rect, $isInteractingFraction], set) => {\n\t\tconst { rows, cols, opacity } = cropWillRenderImageSelectionGuides(interaction, $isInteractingFraction);\n\t\tif (!$rect || opacity <= 0) return set([]);\n\t\tconst { x, y, width, height } = $rect;\n\t\tconst w = width / cols;\n\t\tconst h = height / rows;\n\t\tconst shapes = [];\n\n\t\t// rows\n\t\tfor (let r = 1; r <= rows - 1; r++) {\n\t\t\tconst yo = y + h * r;\n\n\t\t\tshapes.push({\n\t\t\t\tid: `image-selection-guide-row-${r}`,\n\t\t\t\tpoints: [vectorCreate(x, yo), vectorCreate(x + width, yo)],\n\t\t\t\topacity,\n\t\t\t\tstrokeWidth: 1,\n\t\t\t\tstrokeColor: $rootLineColor\n\t\t\t});\n\t\t}\n\n\t\t// cols\n\t\tfor (let c = 1; c <= cols - 1; c++) {\n\t\t\tconst xo = x + w * c;\n\n\t\t\tshapes.push({\n\t\t\t\tid: `image-selection-guide-col-${c}`,\n\t\t\t\tpoints: [vectorCreate(xo, y), vectorCreate(xo, y + height)],\n\t\t\t\topacity,\n\t\t\t\tstrokeWidth: 1,\n\t\t\t\tstrokeColor: $rootLineColor\n\t\t\t});\n\t\t}\n\n\t\tset(shapes);\n\t});\n\n\tcomponent_subscribe($$self, imageSelectionGuides, value => $$invalidate(141, $imageSelectionGuides = value));\n\n\tconst syncGuides = () => {\n\t\t// remove existing guides\n\t\tconst overlayMarkup = $imageOverlayMarkup.filter(markup => !(/^image\\-selection\\-guide/).test(markup.id));\n\n\t\tif ($isActive) {\n\t\t\tset_store_value(imageOverlayMarkup, $imageOverlayMarkup = [...overlayMarkup, ...$imageSelectionGuides], $imageOverlayMarkup);\n\t\t} else {\n\t\t\tset_store_value(imageOverlayMarkup, $imageOverlayMarkup = overlayMarkup, $imageOverlayMarkup);\n\t\t}\n\t};\n\n\tconst cropUniqueId = `crop-${getUniqueId()}`;\n\n\tlet transformInitial = cropEnableRotationInput\n\t? cropActiveTransformTool\n\t: 'zoom';\n\n\tlet transformToolInitial = cropUniqueId + '-' + transformInitial;\n\tlet transformSelected = transformToolInitial;\n\tlet root = undefined;\n\n\t// fixes rendering issue with stage being empty in overlay mode, this basically redispatches the measure event so the stage is correctly measured\n\tlet stageRef;\n\n\tconst footerOffset = spring($isAnimated ? 20 : 0);\n\tcomponent_subscribe($$self, footerOffset, value => $$invalidate(138, $footerOffset = value));\n\n\tfunction measure_handler_1(event) {\n\t\tbubble.call(this, $$self, event);\n\t}\n\n\tconst select_handler = ({ detail }) => $$invalidate(5, transformSelected = detail);\n\n\tfunction div0_binding($$value) {\n\t\tbinding_callbacks[$$value ? 'unshift' : 'push'](() => {\n\t\t\tstageRef = $$value;\n\t\t\t$$invalidate(6, stageRef);\n\t\t});\n\t}\n\n\tconst interactable_function_1 = e => getEventPositionInViewport(e);\n\n\tfunction util_root_binding(value) {\n\t\troot = value;\n\t\t$$invalidate(15, root);\n\t}\n\n\tfunction measure_handler(event) {\n\t\tbubble.call(this, $$self, event);\n\t}\n\n\t$$self.$$set = $$props => {\n\t\tif ('isActive' in $$props) $$subscribe_isActive($$invalidate(0, isActive = $$props.isActive));\n\t\tif ('stores' in $$props) $$invalidate(97, stores = $$props.stores);\n\t\tif ('cropImageSelectionCornerStyle' in $$props) $$invalidate(1, cropImageSelectionCornerStyle = $$props.cropImageSelectionCornerStyle);\n\t\tif ('cropWillRenderImageSelectionGuides' in $$props) $$invalidate(98, cropWillRenderImageSelectionGuides = $$props.cropWillRenderImageSelectionGuides);\n\t\tif ('cropAutoCenterImageSelectionTimeout' in $$props) $$invalidate(99, cropAutoCenterImageSelectionTimeout = $$props.cropAutoCenterImageSelectionTimeout);\n\t\tif ('cropEnableZoomMatchImageAspectRatio' in $$props) $$invalidate(100, cropEnableZoomMatchImageAspectRatio = $$props.cropEnableZoomMatchImageAspectRatio);\n\t\tif ('cropEnableRotateMatchImageAspectRatio' in $$props) $$invalidate(101, cropEnableRotateMatchImageAspectRatio = $$props.cropEnableRotateMatchImageAspectRatio);\n\t\tif ('cropEnableRotationInput' in $$props) $$invalidate(102, cropEnableRotationInput = $$props.cropEnableRotationInput);\n\t\tif ('cropEnableZoom' in $$props) $$invalidate(2, cropEnableZoom = $$props.cropEnableZoom);\n\t\tif ('cropEnableZoomInput' in $$props) $$invalidate(103, cropEnableZoomInput = $$props.cropEnableZoomInput);\n\t\tif ('cropEnableZoomAutoHide' in $$props) $$invalidate(104, cropEnableZoomAutoHide = $$props.cropEnableZoomAutoHide);\n\t\tif ('cropEnableImageSelection' in $$props) $$invalidate(105, cropEnableImageSelection = $$props.cropEnableImageSelection);\n\t\tif ('cropEnableInfoIndicator' in $$props) $$invalidate(106, cropEnableInfoIndicator = $$props.cropEnableInfoIndicator);\n\t\tif ('cropEnableZoomTowardsWheelPosition' in $$props) $$invalidate(107, cropEnableZoomTowardsWheelPosition = $$props.cropEnableZoomTowardsWheelPosition);\n\t\tif ('cropEnableLimitWheelInputToCropSelection' in $$props) $$invalidate(108, cropEnableLimitWheelInputToCropSelection = $$props.cropEnableLimitWheelInputToCropSelection);\n\t\tif ('cropEnableCenterImageSelection' in $$props) $$invalidate(109, cropEnableCenterImageSelection = $$props.cropEnableCenterImageSelection);\n\t\tif ('cropEnableButtonRotateLeft' in $$props) $$invalidate(110, cropEnableButtonRotateLeft = $$props.cropEnableButtonRotateLeft);\n\t\tif ('cropEnableButtonRotateRight' in $$props) $$invalidate(111, cropEnableButtonRotateRight = $$props.cropEnableButtonRotateRight);\n\t\tif ('cropEnableButtonFlipHorizontal' in $$props) $$invalidate(112, cropEnableButtonFlipHorizontal = $$props.cropEnableButtonFlipHorizontal);\n\t\tif ('cropEnableButtonFlipVertical' in $$props) $$invalidate(113, cropEnableButtonFlipVertical = $$props.cropEnableButtonFlipVertical);\n\t\tif ('cropSelectPresetOptions' in $$props) $$invalidate(114, cropSelectPresetOptions = $$props.cropSelectPresetOptions);\n\t\tif ('cropEnableSelectPreset' in $$props) $$invalidate(115, cropEnableSelectPreset = $$props.cropEnableSelectPreset);\n\t\tif ('cropEnableFilterMatchAspectRatio' in $$props) $$invalidate(116, cropEnableFilterMatchAspectRatio = $$props.cropEnableFilterMatchAspectRatio);\n\t\tif ('cropSelectPresetFilter' in $$props) $$invalidate(95, cropSelectPresetFilter = $$props.cropSelectPresetFilter);\n\t\tif ('cropEnableButtonToggleCropLimit' in $$props) $$invalidate(117, cropEnableButtonToggleCropLimit = $$props.cropEnableButtonToggleCropLimit);\n\t\tif ('cropWillRenderTools' in $$props) $$invalidate(118, cropWillRenderTools = $$props.cropWillRenderTools);\n\t\tif ('cropActiveTransformTool' in $$props) $$invalidate(119, cropActiveTransformTool = $$props.cropActiveTransformTool);\n\t\tif ('cropMinimizeToolbar' in $$props) $$invalidate(120, cropMinimizeToolbar = $$props.cropMinimizeToolbar);\n\t\tif ('cropInteractionFocus' in $$props) $$invalidate(121, cropInteractionFocus = $$props.cropInteractionFocus);\n\t\tif ('cropRotationRange' in $$props) $$invalidate(3, cropRotationRange = $$props.cropRotationRange);\n\t\tif ('cropMaskOpacity' in $$props) $$invalidate(122, cropMaskOpacity = $$props.cropMaskOpacity);\n\t\tif ('locale' in $$props) $$invalidate(4, locale = $$props.locale);\n\t};\n\n\t$$self.$$.update = () => {\n\t\tif ($$self.$$.dirty[0] & /*$isActive*/ 4096 | $$self.$$.dirty[3] & /*cropInteractionFocus*/ 268435456) {\n\t\t\timageIsStatic.set(cropInteractionFocus === 'selection' && $isActive);\n\t\t}\n\n\t\tif ($$self.$$.dirty[3] & /*cropSelectPresetOptions*/ 2097152) {\n\t\t\t$$invalidate(129, hasCropSelectPresetOptions = cropSelectPresetOptions && Array.isArray(cropSelectPresetOptions) && cropSelectPresetOptions.length);\n\t\t}\n\n\t\tif ($$self.$$.dirty[3] & /*cropSelectPresetOptions*/ 2097152 | $$self.$$.dirty[4] & /*hasCropSelectPresetOptions*/ 32) {\n\t\t\tformattedCropPresetOptions.set(hasCropSelectPresetOptions\n\t\t\t? cropSelectPresetOptions\n\t\t\t: []);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*$isActive*/ 4096) {\n\t\t\t$isActive && imageOutlineOpacity.set(1);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*$isActive*/ 4096) {\n\t\t\t// fully disable pan and zoom when crop tool is active\n\t\t\tallowPan.set(!$isActive);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*$isActive*/ 4096) {\n\t\t\tallowZoom.set(!$isActive);\n\t\t}\n\n\t\tif ($$self.$$.dirty[4] & /*$env*/ 65536) {\n\t\t\t$$invalidate(124, isOverlayMode = $env.layoutMode === 'overlay');\n\t\t}\n\n\t\tif ($$self.$$.dirty[3] & /*cropEnableSelectPreset*/ 4194304 | $$self.$$.dirty[4] & /*isOverlayMode*/ 1) {\n\t\t\t$$invalidate(128, shouldRenderPresetSelect = cropEnableSelectPreset && !isOverlayMode);\n\t\t}\n\n\t\tif ($$self.$$.dirty[4] & /*$utilRectPadded, $imageSelectionRect*/ 83886080) {\n\t\t\t// determine if we can center the crop, if we can, show the crop center button\n\t\t\t$$invalidate(137, imageSelectionCenteredRect = $utilRectPadded && $imageSelectionRect && rectCenterRect($utilRectPadded, $imageSelectionRect));\n\t\t}\n\n\t\tif ($$self.$$.dirty[4] & /*$imageSelectionRect, imageSelectionCenteredRect*/ 67117056) {\n\t\t\t$$invalidate(135, isImageSelectionDisplayed = !!($imageSelectionRect && imageSelectionCenteredRect));\n\t\t}\n\n\t\tif ($$self.$$.dirty[4] & /*isImageSelectionDisplayed, $imageSelectionRect, imageSelectionCenteredRect*/ 67119104) {\n\t\t\t$$invalidate(133, isImageSelectionCentered = isImageSelectionDisplayed && rectEqual($imageSelectionRect, imageSelectionCenteredRect, value => fixPrecision(value, 5)));\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*locale, $imageRotation*/ 16400 | $$self.$$.dirty[3] & /*cropWillRenderTools, cropEnableButtonRotateLeft, cropEnableButtonRotateRight, cropEnableButtonFlipHorizontal, cropEnableButtonFlipVertical, cropSelectPresetFilter, cropEnableButtonToggleCropLimit*/ 52297732 | $$self.$$.dirty[4] & /*shouldRenderPresetSelect, hasCropSelectPresetOptions, isImageSelectionCentered, $imageSize, $imageCropMinSize, $imageCropLimitToImage, $env*/ 1879114288 | $$self.$$.dirty[5] & /*$redrawTrigger, $imageFlipY, $imageFlipX, $selectedPresetIndex, $formattedCropPresetOptions*/ 31) {\n\t\t\t// #region dynamic toolbar\n\t\t\t$$invalidate(11, cropTools = $redrawTrigger && cropWillRenderTools(\n\t\t\t\t[\n\t\t\t\t\tcropEnableButtonRotateLeft && [\n\t\t\t\t\t\t'Button',\n\t\t\t\t\t\t'rotate-left',\n\t\t\t\t\t\t{\n\t\t\t\t\t\t\tlabel: locale.cropLabelButtonRotateLeft,\n\t\t\t\t\t\t\tlabelClass: 'PinturaToolbarContentWide',\n\t\t\t\t\t\t\ticon: locale.cropIconButtonRotateLeft,\n\t\t\t\t\t\t\tonclick: () => {\n\t\t\t\t\t\t\t\tapplyRotation(-Math.PI / 2);\n\t\t\t\t\t\t\t\thistory.write();\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t],\n\t\t\t\t\tcropEnableButtonRotateRight && [\n\t\t\t\t\t\t'Button',\n\t\t\t\t\t\t'rotate-right',\n\t\t\t\t\t\t{\n\t\t\t\t\t\t\tlabel: locale.cropLabelButtonRotateRight,\n\t\t\t\t\t\t\tlabelClass: 'PinturaToolbarContentWide',\n\t\t\t\t\t\t\ticon: locale.cropIconButtonRotateRight,\n\t\t\t\t\t\t\tonclick: () => {\n\t\t\t\t\t\t\t\tapplyRotation(Math.PI / 2);\n\t\t\t\t\t\t\t\thistory.write();\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t],\n\t\t\t\t\tcropEnableButtonFlipHorizontal && [\n\t\t\t\t\t\t'Button',\n\t\t\t\t\t\t'flip-horizontal',\n\t\t\t\t\t\t{\n\t\t\t\t\t\t\tlabel: locale.cropLabelButtonFlipHorizontal,\n\t\t\t\t\t\t\tlabelClass: 'PinturaToolbarContentWide',\n\t\t\t\t\t\t\ticon: locale.cropIconButtonFlipHorizontal,\n\t\t\t\t\t\t\tonclick: () => {\n\t\t\t\t\t\t\t\tif (isRotatedSideways($imageRotation)) {\n\t\t\t\t\t\t\t\t\tset_store_value(imageFlipY, $imageFlipY = !$imageFlipY, $imageFlipY);\n\t\t\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\t\t\tset_store_value(imageFlipX, $imageFlipX = !$imageFlipX, $imageFlipX);\n\t\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t\t\thistory.write();\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t],\n\t\t\t\t\tcropEnableButtonFlipVertical && [\n\t\t\t\t\t\t'Button',\n\t\t\t\t\t\t'flip-vertical',\n\t\t\t\t\t\t{\n\t\t\t\t\t\t\tlabel: locale.cropLabelButtonFlipVertical,\n\t\t\t\t\t\t\tlabelClass: 'PinturaToolbarContentWide',\n\t\t\t\t\t\t\ticon: locale.cropIconButtonFlipVertical,\n\t\t\t\t\t\t\tonclick: () => {\n\t\t\t\t\t\t\t\tif (isRotatedSideways($imageRotation)) {\n\t\t\t\t\t\t\t\t\tset_store_value(imageFlipX, $imageFlipX = !$imageFlipX, $imageFlipX);\n\t\t\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\t\t\tset_store_value(imageFlipY, $imageFlipY = !$imageFlipY, $imageFlipY);\n\t\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t\t\thistory.write();\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t],\n\t\t\t\t\tshouldRenderPresetSelect && hasCropSelectPresetOptions && [\n\t\t\t\t\t\tcropSelectPresetFilter === false\n\t\t\t\t\t\t? 'Dropdown'\n\t\t\t\t\t\t: CropPresetList,\n\t\t\t\t\t\t'select-preset',\n\t\t\t\t\t\t{\n\t\t\t\t\t\t\ticon: localize(locale.cropIconSelectPreset, locale, getAspectRatioBySelectedIndex($selectedPresetIndex, $formattedCropPresetOptions)),\n\t\t\t\t\t\t\tlabel: localize(locale.cropLabelSelectPreset, locale, getAspectRatioBySelectedIndex($selectedPresetIndex, $formattedCropPresetOptions)),\n\t\t\t\t\t\t\tlabelClass: 'PinturaToolbarContentWide',\n\t\t\t\t\t\t\toptions: $formattedCropPresetOptions,\n\t\t\t\t\t\t\tfilter: cropSelectPresetFilter,\n\t\t\t\t\t\t\tonfilterchange: applyCropPresetFilter,\n\t\t\t\t\t\t\tselectedIndex: $selectedPresetIndex,\n\t\t\t\t\t\t\tonchange: ({ value }) => {\n\t\t\t\t\t\t\t\tif (isArray(value)) {\n\t\t\t\t\t\t\t\t\tset_store_value(imageCropAspectRatio, $imageCropAspectRatio = getAspectRatio(value[0], value[1]), $imageCropAspectRatio);\n\t\t\t\t\t\t\t\t\tset_store_value(imageOutputSize, $imageOutputSize = sizeCreateFromArray(value), $imageOutputSize);\n\t\t\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\t\t\tset_store_value(imageCropAspectRatio, $imageCropAspectRatio = value, $imageCropAspectRatio);\n\t\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t\t\tif (isImageSelectionCentered) {\n\t\t\t\t\t\t\t\t\thandleRecenterAction();\n\t\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t\t\thistory.write();\n\t\t\t\t\t\t\t},\n\t\t\t\t\t\t\toptionMapper: option => {\n\t\t\t\t\t\t\t\t// if no aspect ratio found we enable the option by default\n\t\t\t\t\t\t\t\tlet disabled = false;\n\n\t\t\t\t\t\t\t\t// get aspect ratio for this option\n\t\t\t\t\t\t\t\tconst optionAspectRatio = isArray(option.value)\n\t\t\t\t\t\t\t\t? option.value[0] / option.value[1]\n\t\t\t\t\t\t\t\t: option.value;\n\n\t\t\t\t\t\t\t\t// can be undefined in which case we don't need to check anything\n\t\t\t\t\t\t\t\tif (optionAspectRatio) {\n\t\t\t\t\t\t\t\t\tconst maxCropSize = getMaxSizeInRect($imageSize, $imageRotation, optionAspectRatio);\n\t\t\t\t\t\t\t\t\tdisabled = maxCropSize.width < $imageCropMinSize.width || maxCropSize.height < $imageCropMinSize.height;\n\t\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t\t\t// add icon for this option\n\t\t\t\t\t\t\t\toption.icon = getSelectionPresetOptionIcon(option.value, { bounds: 14 });\n\n\t\t\t\t\t\t\t\treturn { ...option, disabled };\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t],\n\t\t\t\t\tcropEnableButtonToggleCropLimit && [\n\t\t\t\t\t\t'Dropdown',\n\t\t\t\t\t\t'select-crop-limit',\n\t\t\t\t\t\t{\n\t\t\t\t\t\t\ticon: localize(locale.cropIconCropBoundary, locale, $imageCropLimitToImage),\n\t\t\t\t\t\t\tlabel: locale.cropLabelCropBoundary,\n\t\t\t\t\t\t\tlabelClass: 'PinturaToolbarContentWide',\n\t\t\t\t\t\t\tonchange: ({ value }) => {\n\t\t\t\t\t\t\t\tset_store_value(imageCropLimitToImage, $imageCropLimitToImage = value, $imageCropLimitToImage);\n\t\t\t\t\t\t\t\thistory.write();\n\t\t\t\t\t\t\t},\n\t\t\t\t\t\t\toptions: [\n\t\t\t\t\t\t\t\t[\n\t\t\t\t\t\t\t\t\ttrue,\n\t\t\t\t\t\t\t\t\tlocale.cropLabelCropBoundaryEdge,\n\t\t\t\t\t\t\t\t\t{\n\t\t\t\t\t\t\t\t\t\ticon: localize(locale.cropIconCropBoundary, locale, true)\n\t\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\t],\n\t\t\t\t\t\t\t\t[\n\t\t\t\t\t\t\t\t\tfalse,\n\t\t\t\t\t\t\t\t\tlocale.cropLabelCropBoundaryNone,\n\t\t\t\t\t\t\t\t\t{\n\t\t\t\t\t\t\t\t\t\ticon: localize(locale.cropIconCropBoundary, locale, false)\n\t\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\t]\n\t\t\t\t\t\t\t]\n\t\t\t\t\t\t}\n\t\t\t\t\t]\n\t\t\t\t].filter(Boolean),\n\t\t\t\t$env,\n\t\t\t\t() => redrawTrigger.set({})\n\t\t\t).filter(Boolean));\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*$isActive, cropTools*/ 6144 | $$self.$$.dirty[3] & /*cropMinimizeToolbar*/ 134217728 | $$self.$$.dirty[4] & /*$env, isOverlayMode*/ 65537) {\n\t\t\tset_store_value(\n\t\t\t\tutilTools,\n\t\t\t\t$utilTools = $isActive && // should always minimize OR no room OR is overlay mode\n\t\t\t\tcropMinimizeToolbar !== 'never' && (cropMinimizeToolbar === 'always' || $env.verticalSpace === 'short' || isOverlayMode)\n\t\t\t\t? cropTools.map(([name, id, props]) => {\n\t\t\t\t\t\t// is node children\n\t\t\t\t\t\tif (Array.isArray(props)) return [name, id, props];\n\n\t\t\t\t\t\t// is props\n\t\t\t\t\t\treturn [name, id, { ...props, hideLabel: true }];\n\t\t\t\t\t})\n\t\t\t\t: [],\n\t\t\t\t$utilTools\n\t\t\t);\n\t\t}\n\n\t\tif ($$self.$$.dirty[4] & /*$imageCropLimitToImage*/ 536870912) {\n\t\t\t$$invalidate(23, imageZoomLevelMin = $imageCropLimitToImage ? 0 : IMAGE_ZOOM_LEVEL_MIN);\n\t\t}\n\n\t\tif ($$self.$$.dirty[4] & /*$utilRectPadded, $stageRect*/ 150994944) {\n\t\t\t// #endregion\n\t\t\t$$invalidate(130, imageSelectionOffset = $utilRectPadded && vectorCreate(-($stageRect.x - $utilRectPadded.x), -($stageRect.y - $utilRectPadded.y)));\n\t\t}\n\n\t\tif ($$self.$$.dirty[4] & /*$imageSelectionRectPresentation, imageSelectionOffset*/ 524352) {\n\t\t\t// normalized crop bounds, we use these to limit the crop interactions to the view\n\t\t\t$$invalidate(131, imageSelectionCenter = $imageSelectionRectPresentation && vectorCreate(snapToPixel($imageSelectionRectPresentation.x + $imageSelectionRectPresentation.width * 0.5 + imageSelectionOffset.x), snapToPixel($imageSelectionRectPresentation.y + $imageSelectionRectPresentation.height * 0.5 + imageSelectionOffset.y)));\n\t\t}\n\n\t\tif ($$self.$$.dirty[4] & /*$imageSelectionRectSnapshot*/ 33554432) {\n\t\t\t$$invalidate(134, isResizingSelection = $imageSelectionRectSnapshot != null);\n\t\t}\n\n\t\tif ($$self.$$.dirty[4] & /*$utilRectPadded, imageSelectionCenteredRect*/ 16785408) {\n\t\t\t$$invalidate(136, isMaxSelectionRect = $utilRectPadded && imageSelectionCenteredRect && (imageSelectionCenteredRect.height === $utilRectPadded.height || imageSelectionCenteredRect.width === $utilRectPadded.width));\n\t\t}\n\n\t\tif ($$self.$$.dirty[4] & /*isMaxSelectionRect, $presentationScalar, $imageScalar*/ 12587008) {\n\t\t\t$$invalidate(132, canZoomToCenter = !isMaxSelectionRect && $presentationScalar < 1 && $imageScalar < 1);\n\t\t}\n\n\t\tif ($$self.$$.dirty[4] & /*isImageSelectionDisplayed, isResizingSelection, isImageSelectionCentered, canZoomToCenter*/ 3840) {\n\t\t\t$$invalidate(9, canCenter = isImageSelectionDisplayed && !isResizingSelection && (!isImageSelectionCentered || canZoomToCenter));\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*$imageCropRect*/ 8192 | $$self.$$.dirty[3] & /*cropEnableInfoIndicator*/ 8192 | $$self.$$.dirty[4] & /*isOverlayMode*/ 1) {\n\t\t\t$$invalidate(22, shouldRenderInfoIndicator = cropEnableInfoIndicator && !!$imageCropRect && !isOverlayMode);\n\t\t}\n\n\t\tif ($$self.$$.dirty[4] & /*$imageSelectionRectPresentation, imageSelectionOffset*/ 524352) {\n\t\t\t$$invalidate(8, imageSelectionRectOffset = $imageSelectionRectPresentation && imageSelectionOffset && {\n\t\t\t\tx: $imageSelectionRectPresentation.x + imageSelectionOffset.x,\n\t\t\t\ty: $imageSelectionRectPresentation.y + imageSelectionOffset.y,\n\t\t\t\twidth: $imageSelectionRectPresentation.width,\n\t\t\t\theight: $imageSelectionRectPresentation.height\n\t\t\t});\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*imageSelectionRectOffset*/ 256 | $$self.$$.dirty[3] & /*cropEnableImageSelection*/ 4096 | $$self.$$.dirty[4] & /*isOverlayMode*/ 1) {\n\t\t\t$$invalidate(21, shouldRenderImageSelection = cropEnableImageSelection && !!imageSelectionRectOffset && !isOverlayMode);\n\t\t}\n\n\t\tif ($$self.$$.dirty[3] & /*cropEnableCenterImageSelection, cropAutoCenterImageSelectionTimeout*/ 65600 | $$self.$$.dirty[4] & /*imageSelectionCenter, $imageIsStatic*/ 2097280) {\n\t\t\t$$invalidate(10, shouldRenderImageSelectionRecenterButton = cropEnableCenterImageSelection && !!imageSelectionCenter && !cropAutoCenterImageSelectionTimeout && !$imageIsStatic);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*canCenter*/ 512 | $$self.$$.dirty[3] & /*cropAutoCenterImageSelectionTimeout, cropAutoCenterImageSelectionTimeoutId*/ 1073741888 | $$self.$$.dirty[4] & /*$isInteracting*/ 1048576) {\n\t\t\tif (canCenter && cropAutoCenterImageSelectionTimeout && !$isInteracting) {\n\t\t\t\tclearTimeout(cropAutoCenterImageSelectionTimeoutId);\n\t\t\t\t$$invalidate(123, cropAutoCenterImageSelectionTimeoutId = setTimeout(handleRecenterAction, cropAutoCenterImageSelectionTimeout));\n\t\t\t}\n\t\t}\n\n\t\tif ($$self.$$.dirty[3] & /*cropAutoCenterImageSelectionTimeoutId*/ 1073741824 | $$self.$$.dirty[4] & /*$isInteracting*/ 1048576) {\n\t\t\tif ($isInteracting) clearTimeout(cropAutoCenterImageSelectionTimeoutId);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*shouldRenderImageSelectionRecenterButton, canCenter*/ 1536 | $$self.$$.dirty[4] & /*$isAnimated*/ 32768) {\n\t\t\trecenterOpacity.set(\n\t\t\t\tshouldRenderImageSelectionRecenterButton && canCenter\n\t\t\t\t? 1\n\t\t\t\t: 0,\n\t\t\t\t{ hard: $isAnimated === false }\n\t\t\t);\n\t\t}\n\n\t\tif ($$self.$$.dirty[4] & /*imageSelectionCenter, $isAnimated*/ 32896) {\n\t\t\trecenterOffset.set(imageSelectionCenter, { hard: $isAnimated === false });\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*$isActive*/ 4096 | $$self.$$.dirty[4] & /*$stagePadded*/ 262144) {\n\t\t\tif ($isActive && !$stagePadded) {\n\t\t\t\tsetPreviewModifiers();\n\t\t\t} else {\n\t\t\t\tclearPreviewModifiers();\n\t\t\t}\n\t\t}\n\n\t\tif ($$self.$$.dirty[4] & /*$imageSelectionGuides*/ 131072) {\n\t\t\t// if overlay top changes\n\t\t\t$imageSelectionGuides && syncGuides();\n\t\t}\n\n\t\tif ($$self.$$.dirty[4] & /*$env*/ 65536) {\n\t\t\t// #endregion\n\t\t\t//\n\t\t\t// Transform tabs\n\t\t\t//\n\t\t\t$$invalidate(127, hasPlentyVerticalSpace = $env.verticalSpace !== 'short');\n\t\t}\n\n\t\tif ($$self.$$.dirty[3] & /*cropMinimizeToolbar*/ 134217728 | $$self.$$.dirty[4] & /*isOverlayMode, hasPlentyVerticalSpace*/ 9) {\n\t\t\t$$invalidate(20, shouldRenderToolbar = // should show if is not allowed to hide and is not in overlay mode\n\t\t\tcropMinimizeToolbar === 'never' && !isOverlayMode || // or if plenty space and should not force hide\n\t\t\thasPlentyVerticalSpace && cropMinimizeToolbar !== 'always');\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*cropEnableZoom*/ 4 | $$self.$$.dirty[3] & /*cropEnableZoomInput*/ 1024) {\n\t\t\t$$invalidate(126, couldRenderZoomInput = cropEnableZoom && cropEnableZoomInput);\n\t\t}\n\n\t\tif ($$self.$$.dirty[3] & /*cropEnableZoomAutoHide*/ 2048 | $$self.$$.dirty[4] & /*hasPlentyVerticalSpace, couldRenderZoomInput*/ 12) {\n\t\t\t$$invalidate(125, shouldRenderZoomInput = cropEnableZoomAutoHide\n\t\t\t? hasPlentyVerticalSpace && couldRenderZoomInput\n\t\t\t: couldRenderZoomInput);\n\t\t}\n\n\t\tif ($$self.$$.dirty[3] & /*cropEnableRotationInput*/ 512 | $$self.$$.dirty[4] & /*shouldRenderZoomInput*/ 2) {\n\t\t\t$$invalidate(19, shouldRenderFooter = cropEnableRotationInput || shouldRenderZoomInput);\n\t\t}\n\n\t\tif ($$self.$$.dirty[4] & /*shouldRenderZoomInput*/ 2) {\n\t\t\tif (!shouldRenderZoomInput) {\n\t\t\t\t$$invalidate(5, transformSelected = transformToolInitial);\n\t\t\t}\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*transformSelected*/ 32) {\n\t\t\t$$invalidate(18, tabsConfig = {\n\t\t\t\tname: cropUniqueId,\n\t\t\t\tselected: transformSelected\n\t\t\t});\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*locale*/ 16 | $$self.$$.dirty[3] & /*cropEnableRotationInput*/ 512 | $$self.$$.dirty[4] & /*shouldRenderZoomInput*/ 2) {\n\t\t\t$$invalidate(7, tabs = [\n\t\t\t\tcropEnableRotationInput && {\n\t\t\t\t\tid: cropUniqueId + '-rotation',\n\t\t\t\t\tlabel: locale.cropLabelTabRotation\n\t\t\t\t},\n\t\t\t\tshouldRenderZoomInput && {\n\t\t\t\t\tid: cropUniqueId + '-zoom',\n\t\t\t\t\tlabel: locale.cropLabelTabZoom\n\t\t\t\t}\n\t\t\t].filter(Boolean));\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*tabs*/ 128) {\n\t\t\t$$invalidate(17, panels = tabs.map(tab => tab.id));\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*stageRef*/ 64 | $$self.$$.dirty[4] & /*isOverlayMode*/ 1) {\n\t\t\tif (stageRef && !stageRef.children.length && isOverlayMode) {\n\t\t\t\tstageRef.dispatchEvent(new CustomEvent('measure', { detail: stageRef.rect }));\n\t\t\t}\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*$isActive*/ 4096 | $$self.$$.dirty[4] & /*$isAnimated*/ 32768) {\n\t\t\t$isAnimated && footerOffset.set($isActive ? 0 : 20);\n\t\t}\n\n\t\tif ($$self.$$.dirty[4] & /*$footerOffset*/ 16384) {\n\t\t\t$$invalidate(16, footerStyle = $footerOffset\n\t\t\t? `transform: translateY(${$footerOffset}px)`\n\t\t\t: undefined);\n\t\t}\n\t};\n\n\treturn [\n\t\tisActive,\n\t\tcropImageSelectionCornerStyle,\n\t\tcropEnableZoom,\n\t\tcropRotationRange,\n\t\tlocale,\n\t\ttransformSelected,\n\t\tstageRef,\n\t\ttabs,\n\t\timageSelectionRectOffset,\n\t\tcanCenter,\n\t\tshouldRenderImageSelectionRecenterButton,\n\t\tcropTools,\n\t\t$isActive,\n\t\t$imageCropRect,\n\t\t$imageRotation,\n\t\troot,\n\t\tfooterStyle,\n\t\tpanels,\n\t\ttabsConfig,\n\t\tshouldRenderFooter,\n\t\tshouldRenderToolbar,\n\t\tshouldRenderImageSelection,\n\t\tshouldRenderInfoIndicator,\n\t\timageZoomLevelMin,\n\t\t$rootRect,\n\t\t$elasticityMultiplier,\n\t\t$imageRotationRange,\n\t\t$imageZoomLevelRange,\n\t\t$imageZoomLevel,\n\t\t$recenterOpacity,\n\t\t$recenterOffset,\n\t\tisAnimated,\n\t\telasticityMultiplier,\n\t\tredrawTrigger,\n\t\timageIsStatic,\n\t\timageStaticVisualCorners,\n\t\tformattedCropPresetOptions,\n\t\tenv,\n\t\tisInteracting,\n\t\tisTransformingImage,\n\t\trootRect,\n\t\tstageRect,\n\t\tutilRectPadded,\n\t\trangeInputElasticity,\n\t\tpresentationScalar,\n\t\tutilTools,\n\t\timagePreviewModifiers,\n\t\timageFlipX,\n\t\timageFlipY,\n\t\timageRotation,\n\t\timageRotationRange,\n\t\timageOutputSize,\n\t\timageSelectionRect,\n\t\timageSelectionRectSnapshot,\n\t\timageSelectionRectIntent,\n\t\timageSelectionRectPresentation,\n\t\timageCropRectIntent,\n\t\timageCropRectOrigin,\n\t\timageCropRect,\n\t\timageCropMinSize,\n\t\timageCropMaxSize,\n\t\timageCropRange,\n\t\timageCropAspectRatio,\n\t\timageCropLimitToImage,\n\t\timageSize,\n\t\timageScalar,\n\t\timageOverlayMarkup,\n\t\tstagePadded,\n\t\thandleSelectionGrab,\n\t\thandleSelectionDrag,\n\t\thandleSelectionRelease,\n\t\thandleRotateStart,\n\t\thandleRotateMove,\n\t\thandleRotateEnd,\n\t\thandleImageDragStart,\n\t\thandleImageDrag,\n\t\thandleImageDragEnd,\n\t\thandleImageDragRelease,\n\t\timageCropRangeAspectRatio,\n\t\timageZoomLevelRange,\n\t\timageZoomLevel,\n\t\thandleResizeStart,\n\t\thandleResizeMove,\n\t\thandleResizeEnd,\n\t\thandleGestureStart,\n\t\thandleGestureUpdate,\n\t\thandleGestureEnd,\n\t\thandleWheel,\n\t\thandleRecenterAction,\n\t\trecenterOpacity,\n\t\trecenterOffset,\n\t\tselectedPresetIndex,\n\t\timageSelectionGuides,\n\t\tcropUniqueId,\n\t\tfooterOffset,\n\t\tcropSelectPresetFilter,\n\t\tname,\n\t\tstores,\n\t\tcropWillRenderImageSelectionGuides,\n\t\tcropAutoCenterImageSelectionTimeout,\n\t\tcropEnableZoomMatchImageAspectRatio,\n\t\tcropEnableRotateMatchImageAspectRatio,\n\t\tcropEnableRotationInput,\n\t\tcropEnableZoomInput,\n\t\tcropEnableZoomAutoHide,\n\t\tcropEnableImageSelection,\n\t\tcropEnableInfoIndicator,\n\t\tcropEnableZoomTowardsWheelPosition,\n\t\tcropEnableLimitWheelInputToCropSelection,\n\t\tcropEnableCenterImageSelection,\n\t\tcropEnableButtonRotateLeft,\n\t\tcropEnableButtonRotateRight,\n\t\tcropEnableButtonFlipHorizontal,\n\t\tcropEnableButtonFlipVertical,\n\t\tcropSelectPresetOptions,\n\t\tcropEnableSelectPreset,\n\t\tcropEnableFilterMatchAspectRatio,\n\t\tcropEnableButtonToggleCropLimit,\n\t\tcropWillRenderTools,\n\t\tcropActiveTransformTool,\n\t\tcropMinimizeToolbar,\n\t\tcropInteractionFocus,\n\t\tcropMaskOpacity,\n\t\tcropAutoCenterImageSelectionTimeoutId,\n\t\tisOverlayMode,\n\t\tshouldRenderZoomInput,\n\t\tcouldRenderZoomInput,\n\t\thasPlentyVerticalSpace,\n\t\tshouldRenderPresetSelect,\n\t\thasCropSelectPresetOptions,\n\t\timageSelectionOffset,\n\t\timageSelectionCenter,\n\t\tcanZoomToCenter,\n\t\tisImageSelectionCentered,\n\t\tisResizingSelection,\n\t\tisImageSelectionDisplayed,\n\t\tisMaxSelectionRect,\n\t\timageSelectionCenteredRect,\n\t\t$footerOffset,\n\t\t$isAnimated,\n\t\t$env,\n\t\t$imageSelectionGuides,\n\t\t$stagePadded,\n\t\t$imageSelectionRectPresentation,\n\t\t$isInteracting,\n\t\t$imageIsStatic,\n\t\t$imageScalar,\n\t\t$presentationScalar,\n\t\t$utilRectPadded,\n\t\t$imageSelectionRectSnapshot,\n\t\t$imageSelectionRect,\n\t\t$stageRect,\n\t\t$imageSize,\n\t\t$imageCropLimitToImage,\n\t\t$imageCropMinSize,\n\t\t$selectedPresetIndex,\n\t\t$formattedCropPresetOptions,\n\t\t$imageFlipY,\n\t\t$imageFlipX,\n\t\t$redrawTrigger,\n\t\tmeasure_handler_1,\n\t\tselect_handler,\n\t\tdiv0_binding,\n\t\tinteractable_function_1,\n\t\tutil_root_binding,\n\t\tmeasure_handler\n\t];\n}\n\nclass Crop extends SvelteComponent {\n\tconstructor(options) {\n\t\tsuper();\n\n\t\tinit(\n\t\t\tthis,\n\t\t\toptions,\n\t\t\tinstance$m,\n\t\t\tcreate_fragment$m,\n\t\t\tsafe_not_equal,\n\t\t\t{\n\t\t\t\tname: 96,\n\t\t\t\tisActive: 0,\n\t\t\t\tstores: 97,\n\t\t\t\tcropImageSelectionCornerStyle: 1,\n\t\t\t\tcropWillRenderImageSelectionGuides: 98,\n\t\t\t\tcropAutoCenterImageSelectionTimeout: 99,\n\t\t\t\tcropEnableZoomMatchImageAspectRatio: 100,\n\t\t\t\tcropEnableRotateMatchImageAspectRatio: 101,\n\t\t\t\tcropEnableRotationInput: 102,\n\t\t\t\tcropEnableZoom: 2,\n\t\t\t\tcropEnableZoomInput: 103,\n\t\t\t\tcropEnableZoomAutoHide: 104,\n\t\t\t\tcropEnableImageSelection: 105,\n\t\t\t\tcropEnableInfoIndicator: 106,\n\t\t\t\tcropEnableZoomTowardsWheelPosition: 107,\n\t\t\t\tcropEnableLimitWheelInputToCropSelection: 108,\n\t\t\t\tcropEnableCenterImageSelection: 109,\n\t\t\t\tcropEnableButtonRotateLeft: 110,\n\t\t\t\tcropEnableButtonRotateRight: 111,\n\t\t\t\tcropEnableButtonFlipHorizontal: 112,\n\t\t\t\tcropEnableButtonFlipVertical: 113,\n\t\t\t\tcropSelectPresetOptions: 114,\n\t\t\t\tcropEnableSelectPreset: 115,\n\t\t\t\tcropEnableFilterMatchAspectRatio: 116,\n\t\t\t\tcropSelectPresetFilter: 95,\n\t\t\t\tcropEnableButtonToggleCropLimit: 117,\n\t\t\t\tcropWillRenderTools: 118,\n\t\t\t\tcropActiveTransformTool: 119,\n\t\t\t\tcropMinimizeToolbar: 120,\n\t\t\t\tcropInteractionFocus: 121,\n\t\t\t\tcropRotationRange: 3,\n\t\t\t\tcropMaskOpacity: 122,\n\t\t\t\tlocale: 4\n\t\t\t},\n\t\t\tnull,\n\t\t\t[-1, -1, -1, -1, -1, -1, -1, -1]\n\t\t);\n\t}\n\n\tget name() {\n\t\treturn this.$$.ctx[96];\n\t}\n\n\tget isActive() {\n\t\treturn this.$$.ctx[0];\n\t}\n\n\tset isActive(isActive) {\n\t\tthis.$$set({ isActive });\n\t\tflush();\n\t}\n\n\tget stores() {\n\t\treturn this.$$.ctx[97];\n\t}\n\n\tset stores(stores) {\n\t\tthis.$$set({ stores });\n\t\tflush();\n\t}\n\n\tget cropImageSelectionCornerStyle() {\n\t\treturn this.$$.ctx[1];\n\t}\n\n\tset cropImageSelectionCornerStyle(cropImageSelectionCornerStyle) {\n\t\tthis.$$set({ cropImageSelectionCornerStyle });\n\t\tflush();\n\t}\n\n\tget cropWillRenderImageSelectionGuides() {\n\t\treturn this.$$.ctx[98];\n\t}\n\n\tset cropWillRenderImageSelectionGuides(cropWillRenderImageSelectionGuides) {\n\t\tthis.$$set({ cropWillRenderImageSelectionGuides });\n\t\tflush();\n\t}\n\n\tget cropAutoCenterImageSelectionTimeout() {\n\t\treturn this.$$.ctx[99];\n\t}\n\n\tset cropAutoCenterImageSelectionTimeout(cropAutoCenterImageSelectionTimeout) {\n\t\tthis.$$set({ cropAutoCenterImageSelectionTimeout });\n\t\tflush();\n\t}\n\n\tget cropEnableZoomMatchImageAspectRatio() {\n\t\treturn this.$$.ctx[100];\n\t}\n\n\tset cropEnableZoomMatchImageAspectRatio(cropEnableZoomMatchImageAspectRatio) {\n\t\tthis.$$set({ cropEnableZoomMatchImageAspectRatio });\n\t\tflush();\n\t}\n\n\tget cropEnableRotateMatchImageAspectRatio() {\n\t\treturn this.$$.ctx[101];\n\t}\n\n\tset cropEnableRotateMatchImageAspectRatio(cropEnableRotateMatchImageAspectRatio) {\n\t\tthis.$$set({ cropEnableRotateMatchImageAspectRatio });\n\t\tflush();\n\t}\n\n\tget cropEnableRotationInput() {\n\t\treturn this.$$.ctx[102];\n\t}\n\n\tset cropEnableRotationInput(cropEnableRotationInput) {\n\t\tthis.$$set({ cropEnableRotationInput });\n\t\tflush();\n\t}\n\n\tget cropEnableZoom() {\n\t\treturn this.$$.ctx[2];\n\t}\n\n\tset cropEnableZoom(cropEnableZoom) {\n\t\tthis.$$set({ cropEnableZoom });\n\t\tflush();\n\t}\n\n\tget cropEnableZoomInput() {\n\t\treturn this.$$.ctx[103];\n\t}\n\n\tset cropEnableZoomInput(cropEnableZoomInput) {\n\t\tthis.$$set({ cropEnableZoomInput });\n\t\tflush();\n\t}\n\n\tget cropEnableZoomAutoHide() {\n\t\treturn this.$$.ctx[104];\n\t}\n\n\tset cropEnableZoomAutoHide(cropEnableZoomAutoHide) {\n\t\tthis.$$set({ cropEnableZoomAutoHide });\n\t\tflush();\n\t}\n\n\tget cropEnableImageSelection() {\n\t\treturn this.$$.ctx[105];\n\t}\n\n\tset cropEnableImageSelection(cropEnableImageSelection) {\n\t\tthis.$$set({ cropEnableImageSelection });\n\t\tflush();\n\t}\n\n\tget cropEnableInfoIndicator() {\n\t\treturn this.$$.ctx[106];\n\t}\n\n\tset cropEnableInfoIndicator(cropEnableInfoIndicator) {\n\t\tthis.$$set({ cropEnableInfoIndicator });\n\t\tflush();\n\t}\n\n\tget cropEnableZoomTowardsWheelPosition() {\n\t\treturn this.$$.ctx[107];\n\t}\n\n\tset cropEnableZoomTowardsWheelPosition(cropEnableZoomTowardsWheelPosition) {\n\t\tthis.$$set({ cropEnableZoomTowardsWheelPosition });\n\t\tflush();\n\t}\n\n\tget cropEnableLimitWheelInputToCropSelection() {\n\t\treturn this.$$.ctx[108];\n\t}\n\n\tset cropEnableLimitWheelInputToCropSelection(cropEnableLimitWheelInputToCropSelection) {\n\t\tthis.$$set({ cropEnableLimitWheelInputToCropSelection });\n\t\tflush();\n\t}\n\n\tget cropEnableCenterImageSelection() {\n\t\treturn this.$$.ctx[109];\n\t}\n\n\tset cropEnableCenterImageSelection(cropEnableCenterImageSelection) {\n\t\tthis.$$set({ cropEnableCenterImageSelection });\n\t\tflush();\n\t}\n\n\tget cropEnableButtonRotateLeft() {\n\t\treturn this.$$.ctx[110];\n\t}\n\n\tset cropEnableButtonRotateLeft(cropEnableButtonRotateLeft) {\n\t\tthis.$$set({ cropEnableButtonRotateLeft });\n\t\tflush();\n\t}\n\n\tget cropEnableButtonRotateRight() {\n\t\treturn this.$$.ctx[111];\n\t}\n\n\tset cropEnableButtonRotateRight(cropEnableButtonRotateRight) {\n\t\tthis.$$set({ cropEnableButtonRotateRight });\n\t\tflush();\n\t}\n\n\tget cropEnableButtonFlipHorizontal() {\n\t\treturn this.$$.ctx[112];\n\t}\n\n\tset cropEnableButtonFlipHorizontal(cropEnableButtonFlipHorizontal) {\n\t\tthis.$$set({ cropEnableButtonFlipHorizontal });\n\t\tflush();\n\t}\n\n\tget cropEnableButtonFlipVertical() {\n\t\treturn this.$$.ctx[113];\n\t}\n\n\tset cropEnableButtonFlipVertical(cropEnableButtonFlipVertical) {\n\t\tthis.$$set({ cropEnableButtonFlipVertical });\n\t\tflush();\n\t}\n\n\tget cropSelectPresetOptions() {\n\t\treturn this.$$.ctx[114];\n\t}\n\n\tset cropSelectPresetOptions(cropSelectPresetOptions) {\n\t\tthis.$$set({ cropSelectPresetOptions });\n\t\tflush();\n\t}\n\n\tget cropEnableSelectPreset() {\n\t\treturn this.$$.ctx[115];\n\t}\n\n\tset cropEnableSelectPreset(cropEnableSelectPreset) {\n\t\tthis.$$set({ cropEnableSelectPreset });\n\t\tflush();\n\t}\n\n\tget cropEnableFilterMatchAspectRatio() {\n\t\treturn this.$$.ctx[116];\n\t}\n\n\tset cropEnableFilterMatchAspectRatio(cropEnableFilterMatchAspectRatio) {\n\t\tthis.$$set({ cropEnableFilterMatchAspectRatio });\n\t\tflush();\n\t}\n\n\tget cropSelectPresetFilter() {\n\t\treturn this.$$.ctx[95];\n\t}\n\n\tset cropSelectPresetFilter(cropSelectPresetFilter) {\n\t\tthis.$$set({ cropSelectPresetFilter });\n\t\tflush();\n\t}\n\n\tget cropEnableButtonToggleCropLimit() {\n\t\treturn this.$$.ctx[117];\n\t}\n\n\tset cropEnableButtonToggleCropLimit(cropEnableButtonToggleCropLimit) {\n\t\tthis.$$set({ cropEnableButtonToggleCropLimit });\n\t\tflush();\n\t}\n\n\tget cropWillRenderTools() {\n\t\treturn this.$$.ctx[118];\n\t}\n\n\tset cropWillRenderTools(cropWillRenderTools) {\n\t\tthis.$$set({ cropWillRenderTools });\n\t\tflush();\n\t}\n\n\tget cropActiveTransformTool() {\n\t\treturn this.$$.ctx[119];\n\t}\n\n\tset cropActiveTransformTool(cropActiveTransformTool) {\n\t\tthis.$$set({ cropActiveTransformTool });\n\t\tflush();\n\t}\n\n\tget cropMinimizeToolbar() {\n\t\treturn this.$$.ctx[120];\n\t}\n\n\tset cropMinimizeToolbar(cropMinimizeToolbar) {\n\t\tthis.$$set({ cropMinimizeToolbar });\n\t\tflush();\n\t}\n\n\tget cropInteractionFocus() {\n\t\treturn this.$$.ctx[121];\n\t}\n\n\tset cropInteractionFocus(cropInteractionFocus) {\n\t\tthis.$$set({ cropInteractionFocus });\n\t\tflush();\n\t}\n\n\tget cropRotationRange() {\n\t\treturn this.$$.ctx[3];\n\t}\n\n\tset cropRotationRange(cropRotationRange) {\n\t\tthis.$$set({ cropRotationRange });\n\t\tflush();\n\t}\n\n\tget cropMaskOpacity() {\n\t\treturn this.$$.ctx[122];\n\t}\n\n\tset cropMaskOpacity(cropMaskOpacity) {\n\t\tthis.$$set({ cropMaskOpacity });\n\t\tflush();\n\t}\n\n\tget locale() {\n\t\treturn this.$$.ctx[4];\n\t}\n\n\tset locale(locale) {\n\t\tthis.$$set({ locale });\n\t\tflush();\n\t}\n}\n\n// @ts-ignore\nvar _plugin_crop = { util: ['crop', Crop] };\n\n/* src/core/ui/plugins/filter/index.svelte generated by Svelte v3.52.0 */\n\nfunction create_option_slot$3(ctx) {\n\tlet div1;\n\tlet div0;\n\tlet option = /*option*/ ctx[76];\n\tlet t0;\n\tlet span;\n\n\tlet t1_value = (isFunction(/*option*/ ctx[76].label)\n\t? /*option*/ ctx[76].label(/*locale*/ ctx[2])\n\t: /*option*/ ctx[76].label) + \"\";\n\n\tlet t1;\n\tlet mounted;\n\tlet dispose;\n\n\tfunction measure_handler_1(...args) {\n\t\treturn /*measure_handler_1*/ ctx[51](/*option*/ ctx[76], ...args);\n\t}\n\n\tconst assign_div0 = () => /*div0_binding*/ ctx[52](div0, option);\n\tconst unassign_div0 = () => /*div0_binding*/ ctx[52](null, option);\n\n\treturn {\n\t\tc() {\n\t\t\tdiv1 = element(\"div\");\n\t\t\tdiv0 = element(\"div\");\n\t\t\tt0 = space();\n\t\t\tspan = element(\"span\");\n\t\t\tt1 = text(t1_value);\n\t\t\tattr(div0, \"class\", FILTER_PREVIEW_CLASS_NAME);\n\t\t\tattr(div1, \"slot\", \"option\");\n\t\t\tattr(div1, \"class\", \"PinturaFilterOption\");\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, div1, anchor);\n\t\t\tappend(div1, div0);\n\t\t\tassign_div0();\n\t\t\tappend(div1, t0);\n\t\t\tappend(div1, span);\n\t\t\tappend(span, t1);\n\n\t\t\tif (!mounted) {\n\t\t\t\tdispose = [\n\t\t\t\t\tlisten(div0, \"measure\", measure_handler_1),\n\t\t\t\t\taction_destroyer(measurable.call(null, div0))\n\t\t\t\t];\n\n\t\t\t\tmounted = true;\n\t\t\t}\n\t\t},\n\t\tp(new_ctx, dirty) {\n\t\t\tctx = new_ctx;\n\n\t\t\tif (option !== /*option*/ ctx[76]) {\n\t\t\t\tunassign_div0();\n\t\t\t\toption = /*option*/ ctx[76];\n\t\t\t\tassign_div0();\n\t\t\t}\n\n\t\t\tif (dirty[0] & /*locale*/ 4 | dirty[2] & /*option*/ 16384 && t1_value !== (t1_value = (isFunction(/*option*/ ctx[76].label)\n\t\t\t? /*option*/ ctx[76].label(/*locale*/ ctx[2])\n\t\t\t: /*option*/ ctx[76].label) + \"\")) set_data(t1, t1_value);\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(div1);\n\t\t\tunassign_div0();\n\t\t\tmounted = false;\n\t\t\trun_all(dispose);\n\t\t}\n\t};\n}\n\n// (388:8) <Scrollable             elasticity={$elasticityMultiplier * scrollElasticity}             onscroll={(offset) => (tileScrollOffset = offset)}             bind:maskFeatherStartOpacity={tileLeftOpacity}             bind:maskFeatherEndOpacity={tileRightOpacity}             bind:maskFeatherSize={tileMargin}             on:measure={(e) => (tileScrollContainerRect = e.detail)}         >\nfunction create_default_slot$9(ctx) {\n\tlet radiogroup;\n\tlet current;\n\n\tradiogroup = new RadioGroup({\n\t\t\tprops: {\n\t\t\t\tlocale: /*locale*/ ctx[2],\n\t\t\t\tlayout: \"row\",\n\t\t\t\toptions: /*filterOptions*/ ctx[3],\n\t\t\t\tselectedIndex: /*selectedFilterIndex*/ ctx[12],\n\t\t\t\tonchange: /*handleChangeFilter*/ ctx[32],\n\t\t\t\t$$slots: {\n\t\t\t\t\toption: [\n\t\t\t\t\t\tcreate_option_slot$3,\n\t\t\t\t\t\t({ option }) => ({ 76: option }),\n\t\t\t\t\t\t({ option }) => [0, 0, option ? 16384 : 0]\n\t\t\t\t\t]\n\t\t\t\t},\n\t\t\t\t$$scope: { ctx }\n\t\t\t}\n\t\t});\n\n\treturn {\n\t\tc() {\n\t\t\tcreate_component(radiogroup.$$.fragment);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tmount_component(radiogroup, target, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tconst radiogroup_changes = {};\n\t\t\tif (dirty[0] & /*locale*/ 4) radiogroup_changes.locale = /*locale*/ ctx[2];\n\t\t\tif (dirty[0] & /*filterOptions*/ 8) radiogroup_changes.options = /*filterOptions*/ ctx[3];\n\t\t\tif (dirty[0] & /*selectedFilterIndex*/ 4096) radiogroup_changes.selectedIndex = /*selectedFilterIndex*/ ctx[12];\n\n\t\t\tif (dirty[0] & /*locale, tileElements*/ 1028 | dirty[2] & /*$$scope, option*/ 49152) {\n\t\t\t\tradiogroup_changes.$$scope = { dirty, ctx };\n\t\t\t}\n\n\t\t\tradiogroup.$set(radiogroup_changes);\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(radiogroup.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(radiogroup.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tdestroy_component(radiogroup, detaching);\n\t\t}\n\t};\n}\n\n// (379:4) \nfunction create_footer_slot$5(ctx) {\n\tlet div;\n\tlet scrollable;\n\tlet updating_maskFeatherStartOpacity;\n\tlet updating_maskFeatherEndOpacity;\n\tlet updating_maskFeatherSize;\n\tlet current;\n\tlet mounted;\n\tlet dispose;\n\n\tfunction scrollable_maskFeatherStartOpacity_binding(value) {\n\t\t/*scrollable_maskFeatherStartOpacity_binding*/ ctx[54](value);\n\t}\n\n\tfunction scrollable_maskFeatherEndOpacity_binding(value) {\n\t\t/*scrollable_maskFeatherEndOpacity_binding*/ ctx[55](value);\n\t}\n\n\tfunction scrollable_maskFeatherSize_binding(value) {\n\t\t/*scrollable_maskFeatherSize_binding*/ ctx[56](value);\n\t}\n\n\tlet scrollable_props = {\n\t\telasticity: /*$elasticityMultiplier*/ ctx[13] * /*scrollElasticity*/ ctx[19],\n\t\tonscroll: /*func*/ ctx[53],\n\t\t$$slots: { default: [create_default_slot$9] },\n\t\t$$scope: { ctx }\n\t};\n\n\tif (/*tileLeftOpacity*/ ctx[4] !== void 0) {\n\t\tscrollable_props.maskFeatherStartOpacity = /*tileLeftOpacity*/ ctx[4];\n\t}\n\n\tif (/*tileRightOpacity*/ ctx[5] !== void 0) {\n\t\tscrollable_props.maskFeatherEndOpacity = /*tileRightOpacity*/ ctx[5];\n\t}\n\n\tif (/*tileMargin*/ ctx[6] !== void 0) {\n\t\tscrollable_props.maskFeatherSize = /*tileMargin*/ ctx[6];\n\t}\n\n\tscrollable = new Scrollable({ props: scrollable_props });\n\tbinding_callbacks.push(() => bind(scrollable, 'maskFeatherStartOpacity', scrollable_maskFeatherStartOpacity_binding));\n\tbinding_callbacks.push(() => bind(scrollable, 'maskFeatherEndOpacity', scrollable_maskFeatherEndOpacity_binding));\n\tbinding_callbacks.push(() => bind(scrollable, 'maskFeatherSize', scrollable_maskFeatherSize_binding));\n\tscrollable.$on(\"measure\", /*measure_handler_2*/ ctx[57]);\n\n\treturn {\n\t\tc() {\n\t\t\tdiv = element(\"div\");\n\t\t\tcreate_component(scrollable.$$.fragment);\n\t\t\tattr(div, \"slot\", \"footer\");\n\t\t\tattr(div, \"style\", /*footerStyle*/ ctx[11]);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, div, anchor);\n\t\t\tmount_component(scrollable, div, null);\n\t\t\tcurrent = true;\n\n\t\t\tif (!mounted) {\n\t\t\t\tdispose = [\n\t\t\t\t\tlisten(div, \"transitionend\", /*handleTransitionEnd*/ ctx[30]),\n\t\t\t\t\tlisten(div, \"measure\", /*measure_handler_3*/ ctx[58]),\n\t\t\t\t\taction_destroyer(measurable.call(null, div, { observePosition: true }))\n\t\t\t\t];\n\n\t\t\t\tmounted = true;\n\t\t\t}\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tconst scrollable_changes = {};\n\t\t\tif (dirty[0] & /*$elasticityMultiplier*/ 8192) scrollable_changes.elasticity = /*$elasticityMultiplier*/ ctx[13] * /*scrollElasticity*/ ctx[19];\n\t\t\tif (dirty[0] & /*tileScrollOffset*/ 128) scrollable_changes.onscroll = /*func*/ ctx[53];\n\n\t\t\tif (dirty[0] & /*locale, filterOptions, selectedFilterIndex, tileElements*/ 5132 | dirty[2] & /*$$scope*/ 32768) {\n\t\t\t\tscrollable_changes.$$scope = { dirty, ctx };\n\t\t\t}\n\n\t\t\tif (!updating_maskFeatherStartOpacity && dirty[0] & /*tileLeftOpacity*/ 16) {\n\t\t\t\tupdating_maskFeatherStartOpacity = true;\n\t\t\t\tscrollable_changes.maskFeatherStartOpacity = /*tileLeftOpacity*/ ctx[4];\n\t\t\t\tadd_flush_callback(() => updating_maskFeatherStartOpacity = false);\n\t\t\t}\n\n\t\t\tif (!updating_maskFeatherEndOpacity && dirty[0] & /*tileRightOpacity*/ 32) {\n\t\t\t\tupdating_maskFeatherEndOpacity = true;\n\t\t\t\tscrollable_changes.maskFeatherEndOpacity = /*tileRightOpacity*/ ctx[5];\n\t\t\t\tadd_flush_callback(() => updating_maskFeatherEndOpacity = false);\n\t\t\t}\n\n\t\t\tif (!updating_maskFeatherSize && dirty[0] & /*tileMargin*/ 64) {\n\t\t\t\tupdating_maskFeatherSize = true;\n\t\t\t\tscrollable_changes.maskFeatherSize = /*tileMargin*/ ctx[6];\n\t\t\t\tadd_flush_callback(() => updating_maskFeatherSize = false);\n\t\t\t}\n\n\t\t\tscrollable.$set(scrollable_changes);\n\n\t\t\tif (!current || dirty[0] & /*footerStyle*/ 2048) {\n\t\t\t\tattr(div, \"style\", /*footerStyle*/ ctx[11]);\n\t\t\t}\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(scrollable.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(scrollable.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(div);\n\t\t\tdestroy_component(scrollable);\n\t\t\tmounted = false;\n\t\t\trun_all(dispose);\n\t\t}\n\t};\n}\n\nfunction create_fragment$l(ctx) {\n\tlet util;\n\tlet current;\n\n\tutil = new Util({\n\t\t\tprops: {\n\t\t\t\t$$slots: { footer: [create_footer_slot$5] },\n\t\t\t\t$$scope: { ctx }\n\t\t\t}\n\t\t});\n\n\tutil.$on(\"measure\", /*measure_handler*/ ctx[59]);\n\n\treturn {\n\t\tc() {\n\t\t\tcreate_component(util.$$.fragment);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tmount_component(util, target, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tconst util_changes = {};\n\n\t\t\tif (dirty[0] & /*footerStyle, footerRect, $elasticityMultiplier, tileScrollOffset, tileLeftOpacity, tileRightOpacity, tileMargin, tileScrollContainerRect, locale, filterOptions, selectedFilterIndex, tileElements*/ 16380 | dirty[2] & /*$$scope*/ 32768) {\n\t\t\t\tutil_changes.$$scope = { dirty, ctx };\n\t\t\t}\n\n\t\t\tutil.$set(util_changes);\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(util.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(util.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tdestroy_component(util, detaching);\n\t\t}\n\t};\n}\n\nlet FILTER_PREVIEW_CLASS_NAME = 'PinturaFilterPreview';\n\nfunction instance$l($$self, $$props, $$invalidate) {\n\tlet filterOptionsFlattened;\n\tlet selectedFilterIndex;\n\tlet footerStyle;\n\tlet $footerOffset;\n\tlet $imageColorMatrix;\n\tlet $imageTiles;\n\tlet $imagePreview;\n\n\tlet $isActiveFraction,\n\t\t$$unsubscribe_isActiveFraction = noop,\n\t\t$$subscribe_isActiveFraction = () => ($$unsubscribe_isActiveFraction(), $$unsubscribe_isActiveFraction = subscribe(isActiveFraction, $$value => $$invalidate(43, $isActiveFraction = $$value)), isActiveFraction);\n\n\tlet $interfaceImages;\n\tlet $imageBackgroundColor;\n\tlet $imageSize;\n\tlet $imageGamma;\n\tlet $imageTransforms;\n\tlet $tileRects;\n\tlet $utilRect;\n\tlet $stageRectBase;\n\n\tlet $isActive,\n\t\t$$unsubscribe_isActive = noop,\n\t\t$$subscribe_isActive = () => ($$unsubscribe_isActive(), $$unsubscribe_isActive = subscribe(isActive, $$value => $$invalidate(49, $isActive = $$value)), isActive);\n\n\tlet $animation;\n\tlet $canvasSize;\n\tlet $elasticityMultiplier;\n\t$$self.$$.on_destroy.push(() => $$unsubscribe_isActiveFraction());\n\t$$self.$$.on_destroy.push(() => $$unsubscribe_isActive());\n\tconst name = 'filter';\n\tlet { isActive } = $$props;\n\t$$subscribe_isActive();\n\tlet { isActiveFraction } = $$props;\n\t$$subscribe_isActiveFraction();\n\tlet { stores } = $$props;\n\tlet { locale } = $$props;\n\tlet { filterFunctions } = $$props;\n\tlet { filterOptions } = $$props;\n\n\t// context\n\tconst elasticityMultiplier = getContext('elasticityMultiplier');\n\n\tcomponent_subscribe($$self, elasticityMultiplier, value => $$invalidate(13, $elasticityMultiplier = value));\n\n\t// connect filter choice to stores\n\tconst { history, interfaceImages, stageRectBase, utilRect, animation, scrollElasticity, imageSize, imagePreview, imageCropRect, imageRotation, imageFlipX, imageFlipY, imageBackgroundColor, imageGamma, imageColorMatrix, allowPan, allowZoom, allowZoomControls } = stores;\n\n\tcomponent_subscribe($$self, interfaceImages, value => $$invalidate(60, $interfaceImages = value));\n\tcomponent_subscribe($$self, stageRectBase, value => $$invalidate(48, $stageRectBase = value));\n\tcomponent_subscribe($$self, utilRect, value => $$invalidate(47, $utilRect = value));\n\tcomponent_subscribe($$self, animation, value => $$invalidate(50, $animation = value));\n\tcomponent_subscribe($$self, imageSize, value => $$invalidate(62, $imageSize = value));\n\tcomponent_subscribe($$self, imagePreview, value => $$invalidate(42, $imagePreview = value));\n\tcomponent_subscribe($$self, imageBackgroundColor, value => $$invalidate(61, $imageBackgroundColor = value));\n\tcomponent_subscribe($$self, imageGamma, value => $$invalidate(44, $imageGamma = value));\n\tcomponent_subscribe($$self, imageColorMatrix, value => $$invalidate(40, $imageColorMatrix = value));\n\n\tconst getFilterIndex = (imageColorMatrix, filterOptionsFlattened) => {\n\t\tif (!imageColorMatrix || !imageColorMatrix['filter'] || !filterOptionsFlattened) return 0;\n\t\tconst filterColorMatrix = imageColorMatrix['filter'];\n\n\t\treturn filterOptionsFlattened.// get id and compare matrices\n\t\tfindIndex(([id]) => {\n\t\t\tif (!filterFunctions[id]) return false;\n\t\t\tconst matrix = filterFunctions[id]();\n\t\t\treturn arrayEqual(matrix, filterColorMatrix);\n\t\t});\n\t};\n\n\tconst tileRects = writable({});\n\tcomponent_subscribe($$self, tileRects, value => $$invalidate(46, $tileRects = value));\n\tconst handleTileResize = (item, rect) => set_store_value(tileRects, $tileRects[item.value] = rect, $tileRects);\n\n\tconst canvasSize = derived(tileRects, $tileRects => {\n\t\tif (!$tileRects[undefined]) return;\n\t\tconst tileRectFirst = $tileRects[undefined];\n\t\tif ($canvasSize && sizeEqual($canvasSize, tileRectFirst)) return $canvasSize;\n\t\treturn sizeClone(tileRectFirst);\n\t});\n\n\tcomponent_subscribe($$self, canvasSize, value => $$invalidate(63, $canvasSize = value));\n\n\tconst imageTransforms = derived(\n\t\t[\n\t\t\tisActive,\n\t\t\tcanvasSize,\n\t\t\timageCropRect,\n\t\t\timageSize,\n\t\t\timageRotation,\n\t\t\timageFlipX,\n\t\t\timageFlipY\n\t\t],\n\t\t([\n\t\t\t\t$isActive,\n\t\t\t\t$canvasSize,\n\t\t\t\t$imageCropRect,\n\t\t\t\t$imageSize,\n\t\t\t\t$imageRotation,\n\t\t\t\t$imageFlipX,\n\t\t\t\t$imageFlipY\n\t\t\t], set) => {\n\t\t\tif (!$isActive || !$canvasSize || !$imageSize) return $imageTransforms;\n\t\t\tconst imageRect = rectCreateFromSize($imageSize);\n\t\t\tconst imageCenter = rectCenter(imageRect);\n\n\t\t\t// get base crop rect so we can correctly apply transforms\n\t\t\tconst cropRectBase = getBaseCropRect($imageSize, $imageCropRect, $imageRotation);\n\n\t\t\tconst cropRectBaseCenter = rectCenter(cropRectBase);\n\t\t\tconst imageTranslation = vectorSubtract(vectorClone(imageCenter), cropRectBaseCenter);\n\t\t\tconst imageOrigin = vectorInvert(vectorClone(imageTranslation));\n\n\t\t\t// scalar\n\t\t\tconst imageScalar = Math.max($canvasSize.width / $imageCropRect.width, $canvasSize.height / $imageCropRect.height);\n\n\t\t\t// update preview transforms\n\t\t\tset({\n\t\t\t\torigin: imageOrigin,\n\t\t\t\ttranslation: imageTranslation,\n\t\t\t\trotation: {\n\t\t\t\t\tx: $imageFlipY ? Math.PI : 0,\n\t\t\t\t\ty: $imageFlipX ? Math.PI : 0,\n\t\t\t\t\tz: $imageRotation\n\t\t\t\t},\n\t\t\t\tscale: imageScalar\n\t\t\t});\n\t\t}\n\t);\n\n\tcomponent_subscribe($$self, imageTransforms, value => $$invalidate(45, $imageTransforms = value));\n\n\tconst cloneImageTransforms = imageTransforms => ({\n\t\torigin: vectorClone(imageTransforms.origin),\n\t\ttranslation: vectorClone(imageTransforms.translation),\n\t\trotation: { ...imageTransforms.rotation },\n\t\t// perspective: vectorClone(imageTransforms.perspective),\n\t\tscale: imageTransforms.scale\n\t});\n\n\t//\n\t// Footer\n\t//\n\tconst footerOffset = spring($animation ? 20 : 0);\n\n\tcomponent_subscribe($$self, footerOffset, value => $$invalidate(39, $footerOffset = value));\n\tlet tileCornerRadius;\n\tconst tileElements = {};\n\n\tconst handleTransitionEnd = e => {\n\t\tif (e.target.className !== FILTER_PREVIEW_CLASS_NAME) return;\n\n\t\t$$invalidate(36, tileCornerRadius = Object.keys(tileElements).reduce(\n\t\t\t(prev, curr) => {\n\t\t\t\tconst element = tileElements[curr];\n\t\t\t\tconst style = getComputedStyle(element);\n\n\t\t\t\tconst corners = ['top-left', 'top-right', 'bottom-left', 'bottom-right'].map(corner => style.getPropertyValue(`border-${corner}-radius`)).map(unitToPixels).// this better aligns WebGL rounded corner with css rounded corner\n\t\t\t\tmap(v => v * 1.25);\n\n\t\t\t\tprev[curr] = corners;\n\t\t\t\treturn prev;\n\t\t\t},\n\t\t\t{}\n\t\t));\n\t};\n\n\tlet tileLeftOpacity; // set by Scrollable\n\tlet tileRightOpacity; // set by Scrollable\n\tlet tileMargin; // set by Scrollable\n\tlet tileScrollOffset = { x: 0, y: 0 };\n\tlet tileScrollContainerRect;\n\tlet tileWrapperOffset;\n\tlet footerRect;\n\tconst imageTiles = writable([]);\n\tcomponent_subscribe($$self, imageTiles, value => $$invalidate(41, $imageTiles = value));\n\n\t// clones an image tile for use in canvas\n\tconst cloneImageTile = tile => {\n\t\tconst clone = {\n\t\t\t// doesn't clone everything but should be enough\n\t\t\t...tile,\n\t\t\tdata: $imagePreview,\n\t\t\tsize: $imageSize,\n\t\t\toffset: { ...tile.offset },\n\t\t\tmask: { ...tile.mask },\n\t\t\tbackgroundColor: $imageBackgroundColor\n\t\t};\n\n\t\tclone.opacity = $isActiveFraction;\n\t\tclone.offset.y += $footerOffset;\n\t\tclone.mask.y += $footerOffset;\n\t\tclone.id = 'filter';\n\t\treturn clone;\n\t};\n\n\tconst filterInterfaceImages = () => $interfaceImages.filter(tile => tile.id !== 'filter');\n\n\tconst handleChangeFilter = ({ value }) => {\n\t\tset_store_value(\n\t\t\timageColorMatrix,\n\t\t\t$imageColorMatrix = {\n\t\t\t\t...$imageColorMatrix,\n\t\t\t\tfilter: isFunction(filterFunctions[value])\n\t\t\t\t? filterFunctions[value]()\n\t\t\t\t: undefined\n\t\t\t},\n\t\t\t$imageColorMatrix\n\t\t);\n\n\t\thistory.write();\n\t};\n\n\t// when destroyed we need to make sure all filter image previews are cleared\n\tonDestroy(() => {\n\t\tinterfaceImages.set([]);\n\t});\n\n\tconst measure_handler_1 = (option, e) => handleTileResize(option, e.detail);\n\n\tfunction div0_binding($$value, option) {\n\t\tbinding_callbacks[$$value ? 'unshift' : 'push'](() => {\n\t\t\ttileElements[option.value] = $$value;\n\t\t\t$$invalidate(10, tileElements);\n\t\t});\n\t}\n\n\tconst func = offset => $$invalidate(7, tileScrollOffset = offset);\n\n\tfunction scrollable_maskFeatherStartOpacity_binding(value) {\n\t\ttileLeftOpacity = value;\n\t\t$$invalidate(4, tileLeftOpacity);\n\t}\n\n\tfunction scrollable_maskFeatherEndOpacity_binding(value) {\n\t\ttileRightOpacity = value;\n\t\t$$invalidate(5, tileRightOpacity);\n\t}\n\n\tfunction scrollable_maskFeatherSize_binding(value) {\n\t\ttileMargin = value;\n\t\t$$invalidate(6, tileMargin);\n\t}\n\n\tconst measure_handler_2 = e => $$invalidate(8, tileScrollContainerRect = e.detail);\n\tconst measure_handler_3 = e => $$invalidate(9, footerRect = e.detail);\n\n\tfunction measure_handler(event) {\n\t\tbubble.call(this, $$self, event);\n\t}\n\n\t$$self.$$set = $$props => {\n\t\tif ('isActive' in $$props) $$subscribe_isActive($$invalidate(0, isActive = $$props.isActive));\n\t\tif ('isActiveFraction' in $$props) $$subscribe_isActiveFraction($$invalidate(1, isActiveFraction = $$props.isActiveFraction));\n\t\tif ('stores' in $$props) $$invalidate(34, stores = $$props.stores);\n\t\tif ('locale' in $$props) $$invalidate(2, locale = $$props.locale);\n\t\tif ('filterFunctions' in $$props) $$invalidate(35, filterFunctions = $$props.filterFunctions);\n\t\tif ('filterOptions' in $$props) $$invalidate(3, filterOptions = $$props.filterOptions);\n\t};\n\n\t$$self.$$.update = () => {\n\t\tif ($$self.$$.dirty[1] & /*$isActive*/ 262144) {\n\t\t\t// enable pan and zoom\n\t\t\tallowPan.set($isActive);\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*$isActive*/ 262144) {\n\t\t\tallowZoom.set($isActive);\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*$isActive*/ 262144) {\n\t\t\tallowZoomControls.set($isActive);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*filterOptions*/ 8) {\n\t\t\t$$invalidate(38, filterOptionsFlattened = flattenOptions(filterOptions));\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*$imageColorMatrix, filterOptionsFlattened*/ 640) {\n\t\t\t$$invalidate(12, selectedFilterIndex = getFilterIndex($imageColorMatrix, filterOptionsFlattened));\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*$animation, $isActive*/ 786432) {\n\t\t\t$animation && footerOffset.set($isActive ? 0 : 20);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*footerRect*/ 512 | $$self.$$.dirty[1] & /*$isActive, $utilRect, $stageRectBase*/ 458752) {\n\t\t\tif ($isActive && $utilRect && $stageRectBase && footerRect) {\n\t\t\t\t$$invalidate(37, tileWrapperOffset = {\n\t\t\t\t\tx: $stageRectBase.x - $utilRect.x,\n\t\t\t\t\ty: $stageRectBase.y - $utilRect.y + footerRect.y\n\t\t\t\t});\n\t\t\t}\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*tileScrollOffset, tileScrollContainerRect, tileMargin, tileLeftOpacity, tileRightOpacity*/ 496 | $$self.$$.dirty[1] & /*$imageTransforms, tileWrapperOffset, tileCornerRadius, filterOptionsFlattened, $tileRects, $imageColorMatrix, filterFunctions, $imageGamma*/ 58096) {\n\t\t\tif ($imageTransforms && tileWrapperOffset && tileScrollOffset && tileScrollContainerRect && tileCornerRadius) {\n\t\t\t\tconst boundsX = tileWrapperOffset.x + tileScrollContainerRect.x;\n\t\t\t\tconst offsetX = boundsX + tileScrollOffset.x;\n\t\t\t\tconst offsetY = tileWrapperOffset.y;\n\t\t\t\tconst containerLeft = tileScrollContainerRect.x + tileWrapperOffset.x;\n\t\t\t\tconst containerRight = containerLeft + tileScrollContainerRect.width;\n\n\t\t\t\timageTiles.set(filterOptionsFlattened.map(([id], i) => {\n\t\t\t\t\tconst tileRect = $tileRects[id];\n\n\t\t\t\t\t// test if is outside of view\n\t\t\t\t\tconst tileLeft = tileScrollOffset.x + tileRect.x;\n\n\t\t\t\t\tconst tileRight = tileLeft + tileRect.width;\n\t\t\t\t\tif (tileRight < 0 || tileLeft > tileScrollContainerRect.width) return false;\n\t\t\t\t\tconst x = offsetX + tileRect.x;\n\t\t\t\t\tconst y = offsetY + tileRect.y;\n\t\t\t\t\tconst preview = cloneImageTransforms($imageTransforms);\n\t\t\t\t\tpreview.offset = vectorCreate(tileRect.width * 0.5 + x, tileRect.height * 0.5 + y);\n\t\t\t\t\tlet clipX = 0;\n\t\t\t\t\tlet clipWidth = 0;\n\t\t\t\t\tpreview.maskOpacity = 1;\n\t\t\t\t\tpreview.mask = rectCreate(x + clipX, y, tileRect.width + clipWidth, tileRect.height);\n\t\t\t\t\tpreview.maskFeather = [1, 0, 1, 0, 1, containerRight, 1, containerRight];\n\n\t\t\t\t\tif (tileLeft < tileMargin && tileLeftOpacity < 1) {\n\t\t\t\t\t\tpreview.maskFeather[0] = tileLeftOpacity;\n\t\t\t\t\t\tpreview.maskFeather[1] = containerLeft;\n\t\t\t\t\t\tpreview.maskFeather[2] = 1;\n\t\t\t\t\t\tpreview.maskFeather[3] = containerLeft + tileMargin;\n\t\t\t\t\t}\n\n\t\t\t\t\tif (tileRight > tileScrollContainerRect.width - tileMargin && tileRightOpacity < 1) {\n\t\t\t\t\t\tpreview.maskFeather[4] = tileRightOpacity;\n\t\t\t\t\t\tpreview.maskFeather[5] = containerRight - tileMargin;\n\t\t\t\t\t\tpreview.maskFeather[6] = 1;\n\t\t\t\t\t\tpreview.maskFeather[7] = containerRight;\n\t\t\t\t\t}\n\n\t\t\t\t\tpreview.maskCornerRadius = tileCornerRadius[id];\n\t\t\t\t\tlet colorMatrices = $imageColorMatrix && Object.keys($imageColorMatrix).filter(name => name != 'filter').map(name => $imageColorMatrix[name]) || [];\n\n\t\t\t\t\tif (isFunction(filterFunctions[id])) {\n\t\t\t\t\t\tcolorMatrices.push(filterFunctions[id]());\n\t\t\t\t\t}\n\n\t\t\t\t\tpreview.colorMatrix = colorMatrices.length\n\t\t\t\t\t? getColorMatrixFromColorMatrices(colorMatrices)\n\t\t\t\t\t: undefined;\n\n\t\t\t\t\tpreview.gamma = $imageGamma;\n\t\t\t\t\treturn preview;\n\t\t\t\t}).filter(Boolean));\n\t\t\t}\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*$isActiveFraction, $imageTiles, $footerOffset, $imagePreview*/ 7424) {\n\t\t\t// Will update `interfaceImages` store when\n\t\t\t// - $isActiveFraction is updated\n\t\t\t// - $imageTiles is updated\n\t\t\t// - $footerOffset is updated\n\t\t\tif ($isActiveFraction > 0 && $imageTiles) {\n\n\t\t\t\tconst images = [\n\t\t\t\t\t// remove filter tiles\n\t\t\t\t\t...filterInterfaceImages(),\n\t\t\t\t\t// add new filter tiles\n\t\t\t\t\t...$imageTiles.map(cloneImageTile)\n\t\t\t\t];\n\n\t\t\t\t// images\n\t\t\t\tinterfaceImages.set(images);\n\t\t\t} else {\n\t\t\t\tinterfaceImages.set(// remove filter tiles\n\t\t\t\tfilterInterfaceImages());\n\t\t\t}\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*$footerOffset*/ 256) {\n\t\t\t$$invalidate(11, footerStyle = $footerOffset\n\t\t\t? `transform: translateY(${$footerOffset}px)`\n\t\t\t: undefined);\n\t\t}\n\t};\n\n\treturn [\n\t\tisActive,\n\t\tisActiveFraction,\n\t\tlocale,\n\t\tfilterOptions,\n\t\ttileLeftOpacity,\n\t\ttileRightOpacity,\n\t\ttileMargin,\n\t\ttileScrollOffset,\n\t\ttileScrollContainerRect,\n\t\tfooterRect,\n\t\ttileElements,\n\t\tfooterStyle,\n\t\tselectedFilterIndex,\n\t\t$elasticityMultiplier,\n\t\telasticityMultiplier,\n\t\tinterfaceImages,\n\t\tstageRectBase,\n\t\tutilRect,\n\t\tanimation,\n\t\tscrollElasticity,\n\t\timageSize,\n\t\timagePreview,\n\t\timageBackgroundColor,\n\t\timageGamma,\n\t\timageColorMatrix,\n\t\ttileRects,\n\t\thandleTileResize,\n\t\tcanvasSize,\n\t\timageTransforms,\n\t\tfooterOffset,\n\t\thandleTransitionEnd,\n\t\timageTiles,\n\t\thandleChangeFilter,\n\t\tname,\n\t\tstores,\n\t\tfilterFunctions,\n\t\ttileCornerRadius,\n\t\ttileWrapperOffset,\n\t\tfilterOptionsFlattened,\n\t\t$footerOffset,\n\t\t$imageColorMatrix,\n\t\t$imageTiles,\n\t\t$imagePreview,\n\t\t$isActiveFraction,\n\t\t$imageGamma,\n\t\t$imageTransforms,\n\t\t$tileRects,\n\t\t$utilRect,\n\t\t$stageRectBase,\n\t\t$isActive,\n\t\t$animation,\n\t\tmeasure_handler_1,\n\t\tdiv0_binding,\n\t\tfunc,\n\t\tscrollable_maskFeatherStartOpacity_binding,\n\t\tscrollable_maskFeatherEndOpacity_binding,\n\t\tscrollable_maskFeatherSize_binding,\n\t\tmeasure_handler_2,\n\t\tmeasure_handler_3,\n\t\tmeasure_handler\n\t];\n}\n\nclass Filter extends SvelteComponent {\n\tconstructor(options) {\n\t\tsuper();\n\n\t\tinit(\n\t\t\tthis,\n\t\t\toptions,\n\t\t\tinstance$l,\n\t\t\tcreate_fragment$l,\n\t\t\tsafe_not_equal,\n\t\t\t{\n\t\t\t\tname: 33,\n\t\t\t\tisActive: 0,\n\t\t\t\tisActiveFraction: 1,\n\t\t\t\tstores: 34,\n\t\t\t\tlocale: 2,\n\t\t\t\tfilterFunctions: 35,\n\t\t\t\tfilterOptions: 3\n\t\t\t},\n\t\t\tnull,\n\t\t\t[-1, -1, -1]\n\t\t);\n\t}\n\n\tget name() {\n\t\treturn this.$$.ctx[33];\n\t}\n\n\tget isActive() {\n\t\treturn this.$$.ctx[0];\n\t}\n\n\tset isActive(isActive) {\n\t\tthis.$$set({ isActive });\n\t\tflush();\n\t}\n\n\tget isActiveFraction() {\n\t\treturn this.$$.ctx[1];\n\t}\n\n\tset isActiveFraction(isActiveFraction) {\n\t\tthis.$$set({ isActiveFraction });\n\t\tflush();\n\t}\n\n\tget stores() {\n\t\treturn this.$$.ctx[34];\n\t}\n\n\tset stores(stores) {\n\t\tthis.$$set({ stores });\n\t\tflush();\n\t}\n\n\tget locale() {\n\t\treturn this.$$.ctx[2];\n\t}\n\n\tset locale(locale) {\n\t\tthis.$$set({ locale });\n\t\tflush();\n\t}\n\n\tget filterFunctions() {\n\t\treturn this.$$.ctx[35];\n\t}\n\n\tset filterFunctions(filterFunctions) {\n\t\tthis.$$set({ filterFunctions });\n\t\tflush();\n\t}\n\n\tget filterOptions() {\n\t\treturn this.$$.ctx[3];\n\t}\n\n\tset filterOptions(filterOptions) {\n\t\tthis.$$set({ filterOptions });\n\t\tflush();\n\t}\n}\n\n// @ts-ignore\nvar _plugin_filter = { util: ['filter', Filter] };\n\n/* src/core/ui/plugins/finetune/index.svelte generated by Svelte v3.52.0 */\n\nfunction create_default_slot_2$1(ctx) {\n\tlet span;\n\tlet t_value = /*tab*/ ctx[42].label + \"\";\n\tlet t;\n\n\treturn {\n\t\tc() {\n\t\t\tspan = element(\"span\");\n\t\t\tt = text(t_value);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, span, anchor);\n\t\t\tappend(span, t);\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tif (dirty[1] & /*tab*/ 2048 && t_value !== (t_value = /*tab*/ ctx[42].label + \"\")) set_data(t, t_value);\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(span);\n\t\t}\n\t};\n}\n\n// (160:8) <Scrollable             elasticity={$elasticityMultiplier * scrollElasticity}             class=\"PinturaControlListScroller\"         >\nfunction create_default_slot_1$2(ctx) {\n\tlet tablist;\n\tlet current;\n\n\tconst tablist_spread_levels = [\n\t\t{ class: \"PinturaControlList\" },\n\t\t{ tabs: /*tabs*/ ctx[1] },\n\t\t/*tabsConfig*/ ctx[5]\n\t];\n\n\tlet tablist_props = {\n\t\t$$slots: {\n\t\t\tdefault: [\n\t\t\t\tcreate_default_slot_2$1,\n\t\t\t\t({ tab }) => ({ 42: tab }),\n\t\t\t\t({ tab }) => [0, tab ? 2048 : 0]\n\t\t\t]\n\t\t},\n\t\t$$scope: { ctx }\n\t};\n\n\tfor (let i = 0; i < tablist_spread_levels.length; i += 1) {\n\t\ttablist_props = assign(tablist_props, tablist_spread_levels[i]);\n\t}\n\n\ttablist = new TabList({ props: tablist_props });\n\ttablist.$on(\"select\", /*select_handler*/ ctx[24]);\n\n\treturn {\n\t\tc() {\n\t\t\tcreate_component(tablist.$$.fragment);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tmount_component(tablist, target, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tconst tablist_changes = (dirty[0] & /*tabs, tabsConfig*/ 34)\n\t\t\t? get_spread_update(tablist_spread_levels, [\n\t\t\t\t\ttablist_spread_levels[0],\n\t\t\t\t\tdirty[0] & /*tabs*/ 2 && { tabs: /*tabs*/ ctx[1] },\n\t\t\t\t\tdirty[0] & /*tabsConfig*/ 32 && get_spread_object(/*tabsConfig*/ ctx[5])\n\t\t\t\t])\n\t\t\t: {};\n\n\t\t\tif (dirty[1] & /*$$scope, tab*/ 6144) {\n\t\t\t\ttablist_changes.$$scope = { dirty, ctx };\n\t\t\t}\n\n\t\t\ttablist.$set(tablist_changes);\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(tablist.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(tablist.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tdestroy_component(tablist, detaching);\n\t\t}\n\t};\n}\n\n// (175:8) <TabPanels             class=\"PinturaControlPanels\"             panelClass=\"PinturaControlPanel\"             {panels}             {...tabsConfig}             let:panel         >\nfunction create_default_slot$8(ctx) {\n\tlet rangeinput;\n\tlet current;\n\tconst rangeinput_spread_levels = [/*$rangeInputConfig*/ ctx[7][/*panel*/ ctx[41]]];\n\tlet rangeinput_props = {};\n\n\tfor (let i = 0; i < rangeinput_spread_levels.length; i += 1) {\n\t\trangeinput_props = assign(rangeinput_props, rangeinput_spread_levels[i]);\n\t}\n\n\trangeinput = new RangeInput({ props: rangeinput_props });\n\n\treturn {\n\t\tc() {\n\t\t\tcreate_component(rangeinput.$$.fragment);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tmount_component(rangeinput, target, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tconst rangeinput_changes = (dirty[0] & /*$rangeInputConfig*/ 128 | dirty[1] & /*panel*/ 1024)\n\t\t\t? get_spread_update(rangeinput_spread_levels, [get_spread_object(/*$rangeInputConfig*/ ctx[7][/*panel*/ ctx[41]])])\n\t\t\t: {};\n\n\t\t\trangeinput.$set(rangeinput_changes);\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(rangeinput.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(rangeinput.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tdestroy_component(rangeinput, detaching);\n\t\t}\n\t};\n}\n\n// (159:4) \nfunction create_footer_slot$4(ctx) {\n\tlet div;\n\tlet scrollable;\n\tlet t;\n\tlet tabpanels;\n\tlet current;\n\n\tscrollable = new Scrollable({\n\t\t\tprops: {\n\t\t\t\telasticity: /*$elasticityMultiplier*/ ctx[6] * /*scrollElasticity*/ ctx[9],\n\t\t\t\tclass: \"PinturaControlListScroller\",\n\t\t\t\t$$slots: { default: [create_default_slot_1$2] },\n\t\t\t\t$$scope: { ctx }\n\t\t\t}\n\t\t});\n\n\tconst tabpanels_spread_levels = [\n\t\t{ class: \"PinturaControlPanels\" },\n\t\t{ panelClass: \"PinturaControlPanel\" },\n\t\t{ panels: /*panels*/ ctx[4] },\n\t\t/*tabsConfig*/ ctx[5]\n\t];\n\n\tlet tabpanels_props = {\n\t\t$$slots: {\n\t\t\tdefault: [\n\t\t\t\tcreate_default_slot$8,\n\t\t\t\t({ panel }) => ({ 41: panel }),\n\t\t\t\t({ panel }) => [0, panel ? 1024 : 0]\n\t\t\t]\n\t\t},\n\t\t$$scope: { ctx }\n\t};\n\n\tfor (let i = 0; i < tabpanels_spread_levels.length; i += 1) {\n\t\ttabpanels_props = assign(tabpanels_props, tabpanels_spread_levels[i]);\n\t}\n\n\ttabpanels = new TabPanels({ props: tabpanels_props });\n\n\treturn {\n\t\tc() {\n\t\t\tdiv = element(\"div\");\n\t\t\tcreate_component(scrollable.$$.fragment);\n\t\t\tt = space();\n\t\t\tcreate_component(tabpanels.$$.fragment);\n\t\t\tattr(div, \"slot\", \"footer\");\n\t\t\tattr(div, \"style\", /*footerStyle*/ ctx[3]);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, div, anchor);\n\t\t\tmount_component(scrollable, div, null);\n\t\t\tappend(div, t);\n\t\t\tmount_component(tabpanels, div, null);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tconst scrollable_changes = {};\n\t\t\tif (dirty[0] & /*$elasticityMultiplier*/ 64) scrollable_changes.elasticity = /*$elasticityMultiplier*/ ctx[6] * /*scrollElasticity*/ ctx[9];\n\n\t\t\tif (dirty[0] & /*tabs, tabsConfig, tabSelected*/ 38 | dirty[1] & /*$$scope*/ 4096) {\n\t\t\t\tscrollable_changes.$$scope = { dirty, ctx };\n\t\t\t}\n\n\t\t\tscrollable.$set(scrollable_changes);\n\n\t\t\tconst tabpanels_changes = (dirty[0] & /*panels, tabsConfig*/ 48)\n\t\t\t? get_spread_update(tabpanels_spread_levels, [\n\t\t\t\t\ttabpanels_spread_levels[0],\n\t\t\t\t\ttabpanels_spread_levels[1],\n\t\t\t\t\tdirty[0] & /*panels*/ 16 && { panels: /*panels*/ ctx[4] },\n\t\t\t\t\tdirty[0] & /*tabsConfig*/ 32 && get_spread_object(/*tabsConfig*/ ctx[5])\n\t\t\t\t])\n\t\t\t: {};\n\n\t\t\tif (dirty[0] & /*$rangeInputConfig*/ 128 | dirty[1] & /*$$scope, panel*/ 5120) {\n\t\t\t\ttabpanels_changes.$$scope = { dirty, ctx };\n\t\t\t}\n\n\t\t\ttabpanels.$set(tabpanels_changes);\n\n\t\t\tif (!current || dirty[0] & /*footerStyle*/ 8) {\n\t\t\t\tattr(div, \"style\", /*footerStyle*/ ctx[3]);\n\t\t\t}\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(scrollable.$$.fragment, local);\n\t\t\ttransition_in(tabpanels.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(scrollable.$$.fragment, local);\n\t\t\ttransition_out(tabpanels.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(div);\n\t\t\tdestroy_component(scrollable);\n\t\t\tdestroy_component(tabpanels);\n\t\t}\n\t};\n}\n\nfunction create_fragment$k(ctx) {\n\tlet util;\n\tlet current;\n\n\tutil = new Util({\n\t\t\tprops: {\n\t\t\t\t$$slots: { footer: [create_footer_slot$4] },\n\t\t\t\t$$scope: { ctx }\n\t\t\t}\n\t\t});\n\n\tutil.$on(\"measure\", /*measure_handler*/ ctx[25]);\n\n\treturn {\n\t\tc() {\n\t\t\tcreate_component(util.$$.fragment);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tmount_component(util, target, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tconst util_changes = {};\n\n\t\t\tif (dirty[0] & /*footerStyle, panels, tabsConfig, $rangeInputConfig, $elasticityMultiplier, tabs, tabSelected*/ 254 | dirty[1] & /*$$scope*/ 4096) {\n\t\t\t\tutil_changes.$$scope = { dirty, ctx };\n\t\t\t}\n\n\t\t\tutil.$set(util_changes);\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(util.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(util.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tdestroy_component(util, detaching);\n\t\t}\n\t};\n}\n\nfunction instance$k($$self, $$props, $$invalidate) {\n\tlet tabs;\n\tlet tabSelected;\n\tlet tabsConfig;\n\tlet panels;\n\tlet footerStyle;\n\tlet $footerOffset;\n\n\tlet $isActive,\n\t\t$$unsubscribe_isActive = noop,\n\t\t$$subscribe_isActive = () => ($$unsubscribe_isActive(), $$unsubscribe_isActive = subscribe(isActive, $$value => $$invalidate(21, $isActive = $$value)), isActive);\n\n\tlet $animation;\n\tlet $panelValues;\n\tlet $elasticityMultiplier;\n\tlet $rangeInputConfig;\n\t$$self.$$.on_destroy.push(() => $$unsubscribe_isActive());\n\tconst name = 'finetune';\n\tlet { stores } = $$props;\n\tlet { isActive } = $$props;\n\t$$subscribe_isActive();\n\tlet { locale = {} } = $$props;\n\tlet { finetuneControlConfiguration } = $$props;\n\tlet { finetuneOptions } = $$props;\n\tlet { finetuneNudgePrecision = undefined } = $$props;\n\tconst { history, animation, scrollElasticity, rangeInputElasticity, imageColorMatrix, imageConvolutionMatrix, imageGamma, imageVignette, imageNoise, allowPan, allowZoom, allowZoomControls } = stores;\n\tcomponent_subscribe($$self, animation, value => $$invalidate(22, $animation = value));\n\n\tconst imageEffectStores = {\n\t\timageColorMatrix,\n\t\timageConvolutionMatrix,\n\t\timageGamma,\n\t\timageVignette,\n\t\timageNoise\n\t};\n\n\t//\n\t// context\n\t//\n\tconst elasticityMultiplier = getContext('elasticityMultiplier');\n\n\tcomponent_subscribe($$self, elasticityMultiplier, value => $$invalidate(6, $elasticityMultiplier = value));\n\n\t//\n\t// Tabs\n\t//\n\tconst uid = `finetune-${getUniqueId()}`;\n\n\t//\n\t// Range inputs\n\t//\n\tconst panelValues = writable({});\n\n\tcomponent_subscribe($$self, panelValues, value => $$invalidate(23, $panelValues = value));\n\tconst rangeInputConfig = writable({});\n\tcomponent_subscribe($$self, rangeInputConfig, value => $$invalidate(7, $rangeInputConfig = value));\n\n\tconst updateRangeInputState = () => {\n\t\tset_store_value(\n\t\t\trangeInputConfig,\n\t\t\t$rangeInputConfig = Object.keys($panelValues).reduce(\n\t\t\t\t(config, id) => {\n\t\t\t\t\tconst { base, min, max, getLabel, getStore, setValue = (store, v) => store.set(v) } = finetuneControlConfiguration[id];\n\t\t\t\t\tconst store = getStore(imageEffectStores);\n\t\t\t\t\tconst value = $panelValues[id] != null ? $panelValues[id] : base;\n\n\t\t\t\t\tconfig[id] = {\n\t\t\t\t\t\tbase,\n\t\t\t\t\t\tmin,\n\t\t\t\t\t\tmax,\n\t\t\t\t\t\tvalue,\n\t\t\t\t\t\tvalueLabel: getLabel\n\t\t\t\t\t\t? getLabel(value, min, max, max - min)\n\t\t\t\t\t\t: Math.round(100 * value),\n\t\t\t\t\t\toninputmove: v => {\n\t\t\t\t\t\t\tsetValue(store, v);\n\t\t\t\t\t\t},\n\t\t\t\t\t\toninputend: v => {\n\t\t\t\t\t\t\tsetValue(store, v);\n\t\t\t\t\t\t\thistory.write();\n\t\t\t\t\t\t},\n\t\t\t\t\t\telasticity: $elasticityMultiplier * rangeInputElasticity,\n\t\t\t\t\t\tlabelReset: locale.labelReset,\n\t\t\t\t\t\tnudgeMultiplier: finetuneNudgePrecision\n\t\t\t\t\t};\n\n\t\t\t\t\treturn config;\n\t\t\t\t},\n\t\t\t\t{}\n\t\t\t),\n\t\t\t$rangeInputConfig\n\t\t);\n\t};\n\n\t// need to unsubscribe when redrawing vie\n\tlet unsubs = [];\n\n\tconst subscribePanelStores = config => {\n\t\tif (unsubs) unsubs.forEach(unsub => unsub());\n\n\t\tunsubs = panels.map(id => {\n\t\t\tconst { getStore, getValue = passthrough } = config[id];\n\t\t\tconst store = getStore(imageEffectStores);\n\n\t\t\treturn store.subscribe(value => {\n\t\t\t\tconst currentValue = value != null ? getValue(value) : value;\n\t\t\t\tset_store_value(panelValues, $panelValues = { ...$panelValues, [id]: currentValue }, $panelValues);\n\t\t\t});\n\t\t});\n\t};\n\n\t//\n\t// Footer\n\t//\n\tconst footerOffset = spring($animation ? 20 : 0);\n\n\tcomponent_subscribe($$self, footerOffset, value => $$invalidate(20, $footerOffset = value));\n\tconst select_handler = ({ detail }) => $$invalidate(2, tabSelected = detail);\n\n\tfunction measure_handler(event) {\n\t\tbubble.call(this, $$self, event);\n\t}\n\n\t$$self.$$set = $$props => {\n\t\tif ('stores' in $$props) $$invalidate(15, stores = $$props.stores);\n\t\tif ('isActive' in $$props) $$subscribe_isActive($$invalidate(0, isActive = $$props.isActive));\n\t\tif ('locale' in $$props) $$invalidate(16, locale = $$props.locale);\n\t\tif ('finetuneControlConfiguration' in $$props) $$invalidate(17, finetuneControlConfiguration = $$props.finetuneControlConfiguration);\n\t\tif ('finetuneOptions' in $$props) $$invalidate(18, finetuneOptions = $$props.finetuneOptions);\n\t\tif ('finetuneNudgePrecision' in $$props) $$invalidate(19, finetuneNudgePrecision = $$props.finetuneNudgePrecision);\n\t};\n\n\t$$self.$$.update = () => {\n\t\tif ($$self.$$.dirty[0] & /*$isActive*/ 2097152) {\n\t\t\t// enable pan and zoom\n\t\t\tallowPan.set($isActive);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*$isActive*/ 2097152) {\n\t\t\tallowZoom.set($isActive);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*$isActive*/ 2097152) {\n\t\t\tallowZoomControls.set($isActive);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*finetuneOptions, locale*/ 327680) {\n\t\t\t$$invalidate(1, tabs = finetuneOptions\n\t\t\t? finetuneOptions.map(([id, label]) => ({\n\t\t\t\t\tid,\n\t\t\t\t\tlabel: isFunction(label) ? label(locale) : label\n\t\t\t\t}))\n\t\t\t: []);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*tabs*/ 2) {\n\t\t\t$$invalidate(2, tabSelected = tabs.length && tabs[0].id);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*tabSelected*/ 4) {\n\t\t\t$$invalidate(5, tabsConfig = { name: uid, selected: tabSelected });\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*tabs*/ 2) {\n\t\t\t$$invalidate(4, panels = tabs.map(tab => tab.id));\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*finetuneControlConfiguration*/ 131072) {\n\t\t\tfinetuneControlConfiguration && subscribePanelStores(finetuneControlConfiguration);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*finetuneControlConfiguration, $panelValues*/ 8519680) {\n\t\t\tfinetuneControlConfiguration && $panelValues && updateRangeInputState();\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*$animation, $isActive*/ 6291456) {\n\t\t\t$animation && footerOffset.set($isActive ? 0 : 20);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*$footerOffset*/ 1048576) {\n\t\t\t$$invalidate(3, footerStyle = $footerOffset\n\t\t\t? `transform: translateY(${$footerOffset}px)`\n\t\t\t: undefined);\n\t\t}\n\t};\n\n\treturn [\n\t\tisActive,\n\t\ttabs,\n\t\ttabSelected,\n\t\tfooterStyle,\n\t\tpanels,\n\t\ttabsConfig,\n\t\t$elasticityMultiplier,\n\t\t$rangeInputConfig,\n\t\tanimation,\n\t\tscrollElasticity,\n\t\telasticityMultiplier,\n\t\tpanelValues,\n\t\trangeInputConfig,\n\t\tfooterOffset,\n\t\tname,\n\t\tstores,\n\t\tlocale,\n\t\tfinetuneControlConfiguration,\n\t\tfinetuneOptions,\n\t\tfinetuneNudgePrecision,\n\t\t$footerOffset,\n\t\t$isActive,\n\t\t$animation,\n\t\t$panelValues,\n\t\tselect_handler,\n\t\tmeasure_handler\n\t];\n}\n\nclass Finetune extends SvelteComponent {\n\tconstructor(options) {\n\t\tsuper();\n\n\t\tinit(\n\t\t\tthis,\n\t\t\toptions,\n\t\t\tinstance$k,\n\t\t\tcreate_fragment$k,\n\t\t\tsafe_not_equal,\n\t\t\t{\n\t\t\t\tname: 14,\n\t\t\t\tstores: 15,\n\t\t\t\tisActive: 0,\n\t\t\t\tlocale: 16,\n\t\t\t\tfinetuneControlConfiguration: 17,\n\t\t\t\tfinetuneOptions: 18,\n\t\t\t\tfinetuneNudgePrecision: 19\n\t\t\t},\n\t\t\tnull,\n\t\t\t[-1, -1]\n\t\t);\n\t}\n\n\tget name() {\n\t\treturn this.$$.ctx[14];\n\t}\n\n\tget stores() {\n\t\treturn this.$$.ctx[15];\n\t}\n\n\tset stores(stores) {\n\t\tthis.$$set({ stores });\n\t\tflush();\n\t}\n\n\tget isActive() {\n\t\treturn this.$$.ctx[0];\n\t}\n\n\tset isActive(isActive) {\n\t\tthis.$$set({ isActive });\n\t\tflush();\n\t}\n\n\tget locale() {\n\t\treturn this.$$.ctx[16];\n\t}\n\n\tset locale(locale) {\n\t\tthis.$$set({ locale });\n\t\tflush();\n\t}\n\n\tget finetuneControlConfiguration() {\n\t\treturn this.$$.ctx[17];\n\t}\n\n\tset finetuneControlConfiguration(finetuneControlConfiguration) {\n\t\tthis.$$set({ finetuneControlConfiguration });\n\t\tflush();\n\t}\n\n\tget finetuneOptions() {\n\t\treturn this.$$.ctx[18];\n\t}\n\n\tset finetuneOptions(finetuneOptions) {\n\t\tthis.$$set({ finetuneOptions });\n\t\tflush();\n\t}\n\n\tget finetuneNudgePrecision() {\n\t\treturn this.$$.ctx[19];\n\t}\n\n\tset finetuneNudgePrecision(finetuneNudgePrecision) {\n\t\tthis.$$set({ finetuneNudgePrecision });\n\t\tflush();\n\t}\n}\n\n// @ts-ignore\nvar _plugin_finetune = { util: ['finetune', Finetune] };\n\nvar arrayIndexWrap = (index, arr) => {\n    const l = arr.length;\n    if (index < 0)\n        return (index % l) + l;\n    if (index >= l)\n        return index % l;\n    return index;\n};\n\n/* src/core/ui/components/ShapeManipulator.svelte generated by Svelte v3.52.0 */\n\nfunction get_each_context$4(ctx, list, i) {\n\tconst child_ctx = ctx.slice();\n\tchild_ctx[48] = list[i].key;\n\tchild_ctx[49] = list[i].index;\n\tchild_ctx[50] = list[i].translate;\n\tchild_ctx[51] = list[i].scale;\n\tchild_ctx[14] = list[i].rotate;\n\tchild_ctx[52] = list[i].dir;\n\tchild_ctx[53] = list[i].center;\n\tchild_ctx[54] = list[i].type;\n\tchild_ctx[2] = list[i].visible;\n\treturn child_ctx;\n}\n\n// (259:4) {#if type === 'edge' && visible}\nfunction create_if_block_1$3(ctx) {\n\tlet div;\n\tlet div_style_value;\n\n\treturn {\n\t\tc() {\n\t\t\tdiv = element(\"div\");\n\t\t\tattr(div, \"class\", \"PinturaShapeManipulator\");\n\t\t\tattr(div, \"data-control\", \"point\");\n\t\t\tattr(div, \"style\", div_style_value = `pointer-events:none;transform: translate3d(${/*center*/ ctx[53].x}px, ${/*center*/ ctx[53].y}px, 0) scale(${/*$selectionScale*/ ctx[5]}, ${/*$selectionScale*/ ctx[5]}); opacity: ${/*$selectionOpacity*/ ctx[4]}`);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, div, anchor);\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tif (dirty[0] & /*resizeControls, $selectionScale, $selectionOpacity*/ 56 && div_style_value !== (div_style_value = `pointer-events:none;transform: translate3d(${/*center*/ ctx[53].x}px, ${/*center*/ ctx[53].y}px, 0) scale(${/*$selectionScale*/ ctx[5]}, ${/*$selectionScale*/ ctx[5]}); opacity: ${/*$selectionOpacity*/ ctx[4]}`)) {\n\t\t\t\tattr(div, \"style\", div_style_value);\n\t\t\t}\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(div);\n\t\t}\n\t};\n}\n\n// (238:0) {#each resizeControls as { key, index, translate, scale, rotate, dir, center, type, visible }\nfunction create_each_block$4(key_1, ctx) {\n\tlet div;\n\tlet div_aria_label_value;\n\tlet div_tabindex_value;\n\tlet div_data_control_value;\n\tlet div_style_value;\n\tlet t;\n\tlet if_block_anchor;\n\tlet mounted;\n\tlet dispose;\n\n\tfunction nudge_handler(...args) {\n\t\treturn /*nudge_handler*/ ctx[19](/*index*/ ctx[49], ...args);\n\t}\n\n\tlet if_block = /*type*/ ctx[54] === 'edge' && /*visible*/ ctx[2] && create_if_block_1$3(ctx);\n\n\treturn {\n\t\tkey: key_1,\n\t\tfirst: null,\n\t\tc() {\n\t\t\tdiv = element(\"div\");\n\t\t\tt = space();\n\t\t\tif (if_block) if_block.c();\n\t\t\tif_block_anchor = empty();\n\t\t\tattr(div, \"role\", \"button\");\n\t\t\tattr(div, \"aria-label\", div_aria_label_value = `Drag ${/*type*/ ctx[54]} ${/*key*/ ctx[48]}`);\n\t\t\tattr(div, \"tabindex\", div_tabindex_value = /*type*/ ctx[54] === 'edge' ? -1 : 0);\n\t\t\tattr(div, \"class\", \"PinturaShapeManipulator\");\n\t\t\tattr(div, \"data-control\", div_data_control_value = /*type*/ ctx[54]);\n\n\t\t\tattr(div, \"style\", div_style_value = `cursor:${/*dir*/ ctx[52] ? /*dir*/ ctx[52] + '-resize' : 'move'};opacity:${/*$selectionOpacity*/ ctx[4]};--tx:${/*translate*/ ctx[50].x};--ty:${/*translate*/ ctx[50].y};--r:${/*type*/ ctx[54] === 'edge' ? /*rotate*/ ctx[14] : 0}rad;--sx:${/*type*/ ctx[54] === 'point'\n\t\t\t? /*$selectionScale*/ ctx[5]\n\t\t\t: /*scale*/ ctx[51].x};--sy:${/*type*/ ctx[54] === 'point'\n\t\t\t? /*$selectionScale*/ ctx[5]\n\t\t\t: /*scale*/ ctx[51].y};`);\n\n\t\t\tthis.first = div;\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, div, anchor);\n\t\t\tinsert(target, t, anchor);\n\t\t\tif (if_block) if_block.m(target, anchor);\n\t\t\tinsert(target, if_block_anchor, anchor);\n\n\t\t\tif (!mounted) {\n\t\t\t\tdispose = [\n\t\t\t\t\tlisten(div, \"keydown\", /*handleKeyDown*/ ctx[7]),\n\t\t\t\t\tlisten(div, \"keyup\", /*handleKeyUp*/ ctx[8]),\n\t\t\t\t\tlisten(div, \"nudge\", nudge_handler),\n\t\t\t\t\taction_destroyer(nudgeable.call(null, div, { preventDefault: true })),\n\t\t\t\t\tlisten(div, \"interactionstart\", function () {\n\t\t\t\t\t\tif (is_function(/*resize*/ ctx[11]('start', /*index*/ ctx[49]))) /*resize*/ ctx[11]('start', /*index*/ ctx[49]).apply(this, arguments);\n\t\t\t\t\t}),\n\t\t\t\t\tlisten(div, \"interactionupdate\", function () {\n\t\t\t\t\t\tif (is_function(/*resize*/ ctx[11]('move', /*index*/ ctx[49]))) /*resize*/ ctx[11]('move', /*index*/ ctx[49]).apply(this, arguments);\n\t\t\t\t\t}),\n\t\t\t\t\tlisten(div, \"interactionend\", function () {\n\t\t\t\t\t\tif (is_function(/*resize*/ ctx[11]('end', /*index*/ ctx[49]))) /*resize*/ ctx[11]('end', /*index*/ ctx[49]).apply(this, arguments);\n\t\t\t\t\t}),\n\t\t\t\t\taction_destroyer(interactable.call(null, div))\n\t\t\t\t];\n\n\t\t\t\tmounted = true;\n\t\t\t}\n\t\t},\n\t\tp(new_ctx, dirty) {\n\t\t\tctx = new_ctx;\n\n\t\t\tif (dirty[0] & /*resizeControls*/ 8 && div_aria_label_value !== (div_aria_label_value = `Drag ${/*type*/ ctx[54]} ${/*key*/ ctx[48]}`)) {\n\t\t\t\tattr(div, \"aria-label\", div_aria_label_value);\n\t\t\t}\n\n\t\t\tif (dirty[0] & /*resizeControls*/ 8 && div_tabindex_value !== (div_tabindex_value = /*type*/ ctx[54] === 'edge' ? -1 : 0)) {\n\t\t\t\tattr(div, \"tabindex\", div_tabindex_value);\n\t\t\t}\n\n\t\t\tif (dirty[0] & /*resizeControls*/ 8 && div_data_control_value !== (div_data_control_value = /*type*/ ctx[54])) {\n\t\t\t\tattr(div, \"data-control\", div_data_control_value);\n\t\t\t}\n\n\t\t\tif (dirty[0] & /*resizeControls, $selectionOpacity, $selectionScale*/ 56 && div_style_value !== (div_style_value = `cursor:${/*dir*/ ctx[52] ? /*dir*/ ctx[52] + '-resize' : 'move'};opacity:${/*$selectionOpacity*/ ctx[4]};--tx:${/*translate*/ ctx[50].x};--ty:${/*translate*/ ctx[50].y};--r:${/*type*/ ctx[54] === 'edge' ? /*rotate*/ ctx[14] : 0}rad;--sx:${/*type*/ ctx[54] === 'point'\n\t\t\t? /*$selectionScale*/ ctx[5]\n\t\t\t: /*scale*/ ctx[51].x};--sy:${/*type*/ ctx[54] === 'point'\n\t\t\t? /*$selectionScale*/ ctx[5]\n\t\t\t: /*scale*/ ctx[51].y};`)) {\n\t\t\t\tattr(div, \"style\", div_style_value);\n\t\t\t}\n\n\t\t\tif (/*type*/ ctx[54] === 'edge' && /*visible*/ ctx[2]) {\n\t\t\t\tif (if_block) {\n\t\t\t\t\tif_block.p(ctx, dirty);\n\t\t\t\t} else {\n\t\t\t\t\tif_block = create_if_block_1$3(ctx);\n\t\t\t\t\tif_block.c();\n\t\t\t\t\tif_block.m(if_block_anchor.parentNode, if_block_anchor);\n\t\t\t\t}\n\t\t\t} else if (if_block) {\n\t\t\t\tif_block.d(1);\n\t\t\t\tif_block = null;\n\t\t\t}\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(div);\n\t\t\tif (detaching) detach(t);\n\t\t\tif (if_block) if_block.d(detaching);\n\t\t\tif (detaching) detach(if_block_anchor);\n\t\t\tmounted = false;\n\t\t\trun_all(dispose);\n\t\t}\n\t};\n}\n\n// (269:0) {#if enableRotatePoints}\nfunction create_if_block$4(ctx) {\n\tlet div;\n\tlet div_style_value;\n\tlet mounted;\n\tlet dispose;\n\n\treturn {\n\t\tc() {\n\t\t\tdiv = element(\"div\");\n\t\t\tattr(div, \"role\", \"button\");\n\t\t\tattr(div, \"aria-label\", \"Drag rotator\");\n\t\t\tattr(div, \"tabindex\", \"0\");\n\t\t\tattr(div, \"class\", \"PinturaShapeManipulator\");\n\t\t\tattr(div, \"data-control\", \"rotate\");\n\t\t\tattr(div, \"style\", div_style_value = `transform: translate3d(${/*rotatorPoint*/ ctx[0].x}px, ${/*rotatorPoint*/ ctx[0].y}px, 0) scale(${/*$selectionScale*/ ctx[5]}, ${/*$selectionScale*/ ctx[5]}); opacity: ${/*$selectionOpacity*/ ctx[4]}`);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, div, anchor);\n\n\t\t\tif (!mounted) {\n\t\t\t\tdispose = [\n\t\t\t\t\tlisten(div, \"keydown\", /*handleKeyDown*/ ctx[7]),\n\t\t\t\t\tlisten(div, \"keyup\", /*handleKeyUp*/ ctx[8]),\n\t\t\t\t\tlisten(div, \"nudge\", /*handleRotateNudge*/ ctx[13]),\n\t\t\t\t\taction_destroyer(nudgeable.call(null, div, { preventDefault: true })),\n\t\t\t\t\tlisten(div, \"interactionstart\", /*rotate*/ ctx[14]('start')),\n\t\t\t\t\tlisten(div, \"interactionupdate\", /*rotate*/ ctx[14]('move')),\n\t\t\t\t\tlisten(div, \"interactionend\", /*rotate*/ ctx[14]('end')),\n\t\t\t\t\taction_destroyer(interactable.call(null, div))\n\t\t\t\t];\n\n\t\t\t\tmounted = true;\n\t\t\t}\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tif (dirty[0] & /*rotatorPoint, $selectionScale, $selectionOpacity*/ 49 && div_style_value !== (div_style_value = `transform: translate3d(${/*rotatorPoint*/ ctx[0].x}px, ${/*rotatorPoint*/ ctx[0].y}px, 0) scale(${/*$selectionScale*/ ctx[5]}, ${/*$selectionScale*/ ctx[5]}); opacity: ${/*$selectionOpacity*/ ctx[4]}`)) {\n\t\t\t\tattr(div, \"style\", div_style_value);\n\t\t\t}\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(div);\n\t\t\tmounted = false;\n\t\t\trun_all(dispose);\n\t\t}\n\t};\n}\n\nfunction create_fragment$j(ctx) {\n\tlet each_blocks = [];\n\tlet each_1_lookup = new Map();\n\tlet t;\n\tlet if_block_anchor;\n\tlet each_value = /*resizeControls*/ ctx[3];\n\tconst get_key = ctx => /*key*/ ctx[48];\n\n\tfor (let i = 0; i < each_value.length; i += 1) {\n\t\tlet child_ctx = get_each_context$4(ctx, each_value, i);\n\t\tlet key = get_key(child_ctx);\n\t\teach_1_lookup.set(key, each_blocks[i] = create_each_block$4(key, child_ctx));\n\t}\n\n\tlet if_block = /*enableRotatePoints*/ ctx[1] && create_if_block$4(ctx);\n\n\treturn {\n\t\tc() {\n\t\t\tfor (let i = 0; i < each_blocks.length; i += 1) {\n\t\t\t\teach_blocks[i].c();\n\t\t\t}\n\n\t\t\tt = space();\n\t\t\tif (if_block) if_block.c();\n\t\t\tif_block_anchor = empty();\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tfor (let i = 0; i < each_blocks.length; i += 1) {\n\t\t\t\teach_blocks[i].m(target, anchor);\n\t\t\t}\n\n\t\t\tinsert(target, t, anchor);\n\t\t\tif (if_block) if_block.m(target, anchor);\n\t\t\tinsert(target, if_block_anchor, anchor);\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tif (dirty[0] & /*resizeControls, $selectionScale, $selectionOpacity, handleKeyDown, handleKeyUp, handleResizeNudge, resize*/ 6584) {\n\t\t\t\teach_value = /*resizeControls*/ ctx[3];\n\t\t\t\teach_blocks = update_keyed_each(each_blocks, dirty, get_key, 1, ctx, each_value, each_1_lookup, t.parentNode, destroy_block, create_each_block$4, t, get_each_context$4);\n\t\t\t}\n\n\t\t\tif (/*enableRotatePoints*/ ctx[1]) {\n\t\t\t\tif (if_block) {\n\t\t\t\t\tif_block.p(ctx, dirty);\n\t\t\t\t} else {\n\t\t\t\t\tif_block = create_if_block$4(ctx);\n\t\t\t\t\tif_block.c();\n\t\t\t\t\tif_block.m(if_block_anchor.parentNode, if_block_anchor);\n\t\t\t\t}\n\t\t\t} else if (if_block) {\n\t\t\t\tif_block.d(1);\n\t\t\t\tif_block = null;\n\t\t\t}\n\t\t},\n\t\ti: noop,\n\t\to: noop,\n\t\td(detaching) {\n\t\t\tfor (let i = 0; i < each_blocks.length; i += 1) {\n\t\t\t\teach_blocks[i].d(detaching);\n\t\t\t}\n\n\t\t\tif (detaching) detach(t);\n\t\t\tif (if_block) if_block.d(detaching);\n\t\t\tif (detaching) detach(if_block_anchor);\n\t\t}\n\t};\n}\n\nfunction instance$j($$self, $$props, $$invalidate) {\n\tlet resizeControls;\n\tlet $isAnimated;\n\tlet $selectionOpacity;\n\tlet $selectionScale;\n\tconst dispatch = createEventDispatcher();\n\n\t// which cursor to render\n\tconst EIGTH_PI = QUART_PI * 0.5;\n\n\tconst N = HALF_PI;\n\tconst N0 = N - EIGTH_PI;\n\tconst N1 = N + EIGTH_PI;\n\tconst S = -HALF_PI;\n\tconst S0 = S - EIGTH_PI;\n\tconst S1 = S + EIGTH_PI;\n\tconst E = PI;\n\tconst E0 = E - EIGTH_PI;\n\tconst E1 = -PI + EIGTH_PI;\n\tconst W0 = EIGTH_PI;\n\tconst W1 = -EIGTH_PI;\n\tconst NW = N - QUART_PI;\n\tconst NW0 = NW - EIGTH_PI;\n\tconst NW1 = NW + EIGTH_PI;\n\tconst NE = PI - QUART_PI;\n\tconst NE0 = NE - EIGTH_PI;\n\tconst NE1 = NE + EIGTH_PI;\n\tconst SE = S - QUART_PI;\n\tconst SE0 = SE + EIGTH_PI;\n\tconst SE1 = SE - EIGTH_PI;\n\tconst SW = S + QUART_PI;\n\tconst SW0 = SW + EIGTH_PI;\n\tconst SW1 = SW - EIGTH_PI;\n\tlet { visible = false } = $$props;\n\tlet { points = [] } = $$props;\n\tlet { rotatorPoint = undefined } = $$props;\n\tlet { enableDragEdges = true } = $$props;\n\tlet { enableDragPoints = true } = $$props;\n\tlet { enableRotatePoints = true } = $$props;\n\n\t// contex\n\tconst isAnimated = getContext('isAnimated');\n\n\tcomponent_subscribe($$self, isAnimated, value => $$invalidate(18, $isAnimated = value));\n\n\t// internal\n\tlet shiftKey = false;\n\n\tconst handleKeyDown = e => shiftKey = e.shiftKey;\n\tconst handleKeyUp = e => shiftKey = false;\n\n\t// state\n\tconst selectionScale = spring(0.5, {\n\t\tprecision: 0.0001,\n\t\tstiffness: 0.3,\n\t\tdamping: 0.7\n\t});\n\n\tcomponent_subscribe($$self, selectionScale, value => $$invalidate(5, $selectionScale = value));\n\n\tconst selectionOpacity = spring(0, {\n\t\tprecision: 0.001,\n\t\tstiffness: 0.3,\n\t\tdamping: 0.7\n\t});\n\n\tcomponent_subscribe($$self, selectionOpacity, value => $$invalidate(4, $selectionOpacity = value));\n\n\tconst rotate = type => ({ detail }) => {\n\t\t// always make sure we have a translation to work with\n\t\tconst translation = detail && detail.translation\n\t\t? detail.translation\n\t\t: vectorCreate(0, 0);\n\n\t\tdispatch(`rotate${type}`, { translation, shiftKey });\n\t};\n\n\tconst resize = (type, indexes) => ({ detail }) => {\n\t\t// always make sure we have a translation to work with\n\t\tconst translation = detail && detail.translation\n\t\t? detail.translation\n\t\t: vectorCreate(0, 0);\n\n\t\t// done transforming the points\n\t\tdispatch(`resize${type}`, {\n\t\t\t...detail,\n\t\t\tindexes,\n\t\t\ttranslation,\n\t\t\tshiftKey\n\t\t});\n\t};\n\n\t// https://en.wikipedia.org/wiki/Radian#/media/File:Degree-Radian_Conversion.svg\n\tconst getDirectionByAngle = angle => {\n\t\tlet dir = '';\n\t\tconst isNorth = angle <= N1 && angle >= N0;\n\t\tconst isSouth = angle >= S0 && angle <= S1;\n\t\tconst isEast = angle <= E1 || angle >= E0;\n\t\tconst isWest = angle >= W1 && angle <= W0;\n\t\tconst isNorthEast = angle >= NE0 && angle <= NE1;\n\t\tconst isNorthWest = angle >= NW0 && angle <= NW1;\n\t\tconst isSouthEast = angle <= SE0 && angle >= SE1;\n\t\tconst isSouthWest = angle <= SW0 && angle >= SW1;\n\t\tif (isNorth || isSouth) dir = 'ns';\n\t\tif (isEast || isWest) dir = 'ew';\n\t\tif (isNorthEast || isSouthWest) dir = 'nesw';\n\t\tif (isNorthWest || isSouthEast) dir = 'nwse';\n\t\treturn dir;\n\t};\n\n\t// 2 points -> [corner, corner]\n\t// 3 points => [corner, edge, corner, edge, corner, edge],\n\t// 4 points => [corner, edge, corner, edge, corner, edge, corner, edge]\n\tconst mapPointsToControls = (points, axis) => {\n\t\tlet i = 0;\n\t\tconst center = vectorCenter(points);\n\t\tconst out = [];\n\t\tconst l = points.length;\n\n\t\t// const isLine = l === 2 || l > 4;\n\t\t// const isAxisLimited = axis !== 'both';\n\t\tfor (; i < l; i++) {\n\t\t\tconst i0 = arrayIndexWrap(i - 1, points);\n\n\t\t\t// const i1 = i;\n\t\t\tconst i2 = arrayIndexWrap(i + 1, points);\n\n\t\t\tconst p0 = points[i0];\n\t\t\tconst p1 = points[i];\n\t\t\tconst p2 = points[i2];\n\t\t\tconst dir = Math.atan2(p2.y - p1.y, p2.x - p1.x);\n\n\t\t\t// can drag vertices\n\t\t\tif (enableDragPoints) {\n\t\t\t\tconst a = vectorNormalize(vectorCreate(p0.x - p1.x, p0.y - p1.y));\n\t\t\t\tconst b = vectorNormalize(vectorCreate(p2.x - p1.x, p2.y - p1.y));\n\t\t\t\tconst cornerVector = vectorCreate(a.x + b.x, a.y + b.y);\n\n\t\t\t\tconst dir = !enableDragEdges\n\t\t\t\t? undefined\n\t\t\t\t: enableDragPoints && getDirectionByAngle(Math.atan2(cornerVector.y, cornerVector.x));\n\n\t\t\t\tout.push({\n\t\t\t\t\tindex: [i],\n\t\t\t\t\tkey: `point-${i}`,\n\t\t\t\t\ttype: 'point',\n\t\t\t\t\tscale: { x: 1, y: 1 },\n\t\t\t\t\ttranslate: { x: p1.x, y: p1.y },\n\t\t\t\t\tangle: undefined,\n\t\t\t\t\trotate: enableRotatePoints,\n\t\t\t\t\tcenter: p1,\n\t\t\t\t\tdir\n\t\t\t\t});\n\t\t\t}\n\n\t\t\t// skip edge dragging\n\t\t\tif (!enableDragEdges) continue;\n\n\t\t\tif (Array.isArray(enableDragEdges) && !enableDragEdges.some(([indexFrom, indexTo]) => {\n\t\t\t\treturn i === indexFrom && i2 === indexTo;\n\t\t\t})) continue;\n\n\t\t\tconst mid = vectorCreate(p1.x + (p2.x - p1.x) * 0.5, p1.y + (p2.y - p1.y) * 0.5);\n\n\t\t\t// create edge\n\t\t\tout.push({\n\t\t\t\tindex: [i, i2],\n\t\t\t\tkey: `edge-${i}`,\n\t\t\t\ttype: 'edge',\n\t\t\t\tscale: { x: vectorDistance(p1, p2), y: 1 },\n\t\t\t\ttranslate: { x: p1.x, y: p1.y },\n\t\t\t\tangle: dir,\n\t\t\t\trotate: dir,\n\t\t\t\tcenter: mid,\n\t\t\t\tvisible: Array.isArray(enableDragEdges),\n\t\t\t\tdir: getDirectionByAngle(Math.atan2(center.y - mid.y, center.x - mid.x))\n\t\t\t});\n\t\t}\n\n\t\treturn out;\n\t};\n\n\tconst handleResizeNudge = (indexes, translation) => {\n\t\tdispatch(`resizestart`, {\n\t\t\tindexes,\n\t\t\ttranslation: vectorCreateEmpty()\n\t\t});\n\n\t\tdispatch(`resizemove`, { indexes, translation });\n\n\t\tdispatch(`resizeend`, {\n\t\t\tindexes,\n\t\t\ttranslation: vectorCreateEmpty()\n\t\t});\n\t};\n\n\tconst handleRotateNudge = ({ detail }) => {\n\t\tdispatch(`rotatestart`, { translation: vectorCreateEmpty() });\n\t\tdispatch(`rotatemove`, { translation: detail });\n\t\tdispatch(`rotateend`, { translation: vectorCreateEmpty() });\n\t};\n\n\tconst nudge_handler = (index, { detail }) => handleResizeNudge(index, detail);\n\n\t$$self.$$set = $$props => {\n\t\tif ('visible' in $$props) $$invalidate(2, visible = $$props.visible);\n\t\tif ('points' in $$props) $$invalidate(15, points = $$props.points);\n\t\tif ('rotatorPoint' in $$props) $$invalidate(0, rotatorPoint = $$props.rotatorPoint);\n\t\tif ('enableDragEdges' in $$props) $$invalidate(16, enableDragEdges = $$props.enableDragEdges);\n\t\tif ('enableDragPoints' in $$props) $$invalidate(17, enableDragPoints = $$props.enableDragPoints);\n\t\tif ('enableRotatePoints' in $$props) $$invalidate(1, enableRotatePoints = $$props.enableRotatePoints);\n\t};\n\n\t$$self.$$.update = () => {\n\t\tif ($$self.$$.dirty[0] & /*visible, $isAnimated*/ 262148) {\n\t\t\tselectionScale.set(visible ? 1 : 0.5, { hard: $isAnimated === false });\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*visible, $isAnimated*/ 262148) {\n\t\t\tselectionOpacity.set(visible ? 1 : 0, { hard: $isAnimated === false });\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*points*/ 32768) {\n\t\t\t$$invalidate(3, resizeControls = mapPointsToControls(points));\n\t\t}\n\t};\n\n\treturn [\n\t\trotatorPoint,\n\t\tenableRotatePoints,\n\t\tvisible,\n\t\tresizeControls,\n\t\t$selectionOpacity,\n\t\t$selectionScale,\n\t\tisAnimated,\n\t\thandleKeyDown,\n\t\thandleKeyUp,\n\t\tselectionScale,\n\t\tselectionOpacity,\n\t\tresize,\n\t\thandleResizeNudge,\n\t\thandleRotateNudge,\n\t\trotate,\n\t\tpoints,\n\t\tenableDragEdges,\n\t\tenableDragPoints,\n\t\t$isAnimated,\n\t\tnudge_handler\n\t];\n}\n\nclass ShapeManipulator extends SvelteComponent {\n\tconstructor(options) {\n\t\tsuper();\n\n\t\tinit(\n\t\t\tthis,\n\t\t\toptions,\n\t\t\tinstance$j,\n\t\t\tcreate_fragment$j,\n\t\t\tsafe_not_equal,\n\t\t\t{\n\t\t\t\tvisible: 2,\n\t\t\t\tpoints: 15,\n\t\t\t\trotatorPoint: 0,\n\t\t\t\tenableDragEdges: 16,\n\t\t\t\tenableDragPoints: 17,\n\t\t\t\tenableRotatePoints: 1\n\t\t\t},\n\t\t\tnull,\n\t\t\t[-1, -1]\n\t\t);\n\t}\n}\n\nvar getEventPositionInEditor = (e, viewOffset) => {\n    const positionInViewport = getEventPositionInViewport(e);\n    return vectorSubtract(positionInViewport, viewOffset);\n};\n\nvar cursorMoveToEnd = (field) => (field.selectionStart = field.selectionEnd = field.value.length);\n\nlet result = null;\nvar supportsVisualViewport = () => {\n    if (result === null) {\n        result = isBrowser() && 'visualViewport' in window;\n    }\n    return result;\n};\n\nvar createSoftKeyboardObserver = (cb) => {\n    if (!supportsVisualViewport())\n        return false;\n    const heightNormal = visualViewport.height;\n    const testState = () => {\n        cb(visualViewport.height < heightNormal ? 'visible' : 'hidden');\n    };\n    visualViewport.addEventListener('resize', testState);\n    return () => visualViewport.removeEventListener('resize', testState);\n};\n\n/* src/core/ui/components/InputForm.svelte generated by Svelte v3.52.0 */\n\nfunction create_fragment$i(ctx) {\n\tlet div2;\n\tlet div1;\n\tlet button0;\n\tlet t0;\n\tlet div0;\n\tlet t1;\n\tlet button1;\n\tlet current;\n\tlet mounted;\n\tlet dispose;\n\n\tbutton0 = new Button({\n\t\t\tprops: {\n\t\t\t\tonclick: /*oncancel*/ ctx[1],\n\t\t\t\tlabel: /*labelCancel*/ ctx[5],\n\t\t\t\ticon: /*iconCancel*/ ctx[7],\n\t\t\t\thideLabel: !/*labelCancelShow*/ ctx[6]\n\t\t\t}\n\t\t});\n\n\tconst default_slot_template = /*#slots*/ ctx[20].default;\n\tconst default_slot = create_slot(default_slot_template, ctx, /*$$scope*/ ctx[19], null);\n\n\tbutton1 = new Button({\n\t\t\tprops: {\n\t\t\t\tonclick: /*onconfirm*/ ctx[0],\n\t\t\t\tlabel: /*labelConfirm*/ ctx[2],\n\t\t\t\ticon: /*iconConfirm*/ ctx[4],\n\t\t\t\thideLabel: !/*labelConfirmShow*/ ctx[3],\n\t\t\t\tclass: \"PinturaInputFormButtonConfirm\"\n\t\t\t}\n\t\t});\n\n\treturn {\n\t\tc() {\n\t\t\tdiv2 = element(\"div\");\n\t\t\tdiv1 = element(\"div\");\n\t\t\tcreate_component(button0.$$.fragment);\n\t\t\tt0 = space();\n\t\t\tdiv0 = element(\"div\");\n\t\t\tif (default_slot) default_slot.c();\n\t\t\tt1 = space();\n\t\t\tcreate_component(button1.$$.fragment);\n\t\t\tattr(div0, \"class\", \"PinturaInputFormFields\");\n\t\t\tattr(div1, \"class\", \"PinturaInputFormInner\");\n\t\t\tattr(div2, \"class\", \"PinturaInputForm\");\n\t\t\tattr(div2, \"style\", /*style*/ ctx[9]);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, div2, anchor);\n\t\t\tappend(div2, div1);\n\t\t\tmount_component(button0, div1, null);\n\t\t\tappend(div1, t0);\n\t\t\tappend(div1, div0);\n\n\t\t\tif (default_slot) {\n\t\t\t\tdefault_slot.m(div0, null);\n\t\t\t}\n\n\t\t\tappend(div1, t1);\n\t\t\tmount_component(button1, div1, null);\n\t\t\t/*div2_binding*/ ctx[21](div2);\n\t\t\tcurrent = true;\n\n\t\t\tif (!mounted) {\n\t\t\t\tdispose = [\n\t\t\t\t\tlisten(div2, \"focusin\", /*handleFocusIn*/ ctx[10]),\n\t\t\t\t\tlisten(div2, \"focusout\", /*handleFocusOut*/ ctx[11]),\n\t\t\t\t\tlisten(div2, \"measure\", /*handleMeasure*/ ctx[12]),\n\t\t\t\t\taction_destroyer(measurable.call(null, div2))\n\t\t\t\t];\n\n\t\t\t\tmounted = true;\n\t\t\t}\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tconst button0_changes = {};\n\t\t\tif (dirty[0] & /*oncancel*/ 2) button0_changes.onclick = /*oncancel*/ ctx[1];\n\t\t\tif (dirty[0] & /*labelCancel*/ 32) button0_changes.label = /*labelCancel*/ ctx[5];\n\t\t\tif (dirty[0] & /*iconCancel*/ 128) button0_changes.icon = /*iconCancel*/ ctx[7];\n\t\t\tif (dirty[0] & /*labelCancelShow*/ 64) button0_changes.hideLabel = !/*labelCancelShow*/ ctx[6];\n\t\t\tbutton0.$set(button0_changes);\n\n\t\t\tif (default_slot) {\n\t\t\t\tif (default_slot.p && (!current || dirty[0] & /*$$scope*/ 524288)) {\n\t\t\t\t\tupdate_slot_base(\n\t\t\t\t\t\tdefault_slot,\n\t\t\t\t\t\tdefault_slot_template,\n\t\t\t\t\t\tctx,\n\t\t\t\t\t\t/*$$scope*/ ctx[19],\n\t\t\t\t\t\t!current\n\t\t\t\t\t\t? get_all_dirty_from_scope(/*$$scope*/ ctx[19])\n\t\t\t\t\t\t: get_slot_changes(default_slot_template, /*$$scope*/ ctx[19], dirty, null),\n\t\t\t\t\t\tnull\n\t\t\t\t\t);\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tconst button1_changes = {};\n\t\t\tif (dirty[0] & /*onconfirm*/ 1) button1_changes.onclick = /*onconfirm*/ ctx[0];\n\t\t\tif (dirty[0] & /*labelConfirm*/ 4) button1_changes.label = /*labelConfirm*/ ctx[2];\n\t\t\tif (dirty[0] & /*iconConfirm*/ 16) button1_changes.icon = /*iconConfirm*/ ctx[4];\n\t\t\tif (dirty[0] & /*labelConfirmShow*/ 8) button1_changes.hideLabel = !/*labelConfirmShow*/ ctx[3];\n\t\t\tbutton1.$set(button1_changes);\n\n\t\t\tif (!current || dirty[0] & /*style*/ 512) {\n\t\t\t\tattr(div2, \"style\", /*style*/ ctx[9]);\n\t\t\t}\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(button0.$$.fragment, local);\n\t\t\ttransition_in(default_slot, local);\n\t\t\ttransition_in(button1.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(button0.$$.fragment, local);\n\t\t\ttransition_out(default_slot, local);\n\t\t\ttransition_out(button1.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(div2);\n\t\t\tdestroy_component(button0);\n\t\t\tif (default_slot) default_slot.d(detaching);\n\t\t\tdestroy_component(button1);\n\t\t\t/*div2_binding*/ ctx[21](null);\n\t\t\tmounted = false;\n\t\t\trun_all(dispose);\n\t\t}\n\t};\n}\n\nconst panelDelay = 200;\n\nfunction instance$i($$self, $$props, $$invalidate) {\n\tlet computedStyle;\n\tlet shouldStickToKeyboard;\n\tlet style;\n\tlet { $$slots: slots = {}, $$scope } = $$props;\n\tlet { onconfirm } = $$props;\n\tlet { oncancel } = $$props;\n\tlet { autoFocus = true } = $$props;\n\tlet { autoPositionCursor = true } = $$props;\n\tlet { labelConfirm } = $$props;\n\tlet { labelConfirmShow = true } = $$props;\n\tlet { iconConfirm } = $$props;\n\tlet { labelCancel } = $$props;\n\tlet { labelCancelShow = false } = $$props;\n\tlet { iconCancel } = $$props;\n\tlet { panelOffset = vectorCreateEmpty() } = $$props;\n\tlet panelVisible = false;\n\tlet panelHeight = undefined;\n\tlet panelRevealTimeout = undefined;\n\tlet panelPosition = '';\n\tlet panelOpacity = 0;\n\tlet root;\n\tconst isTextarea = element => (/textarea/i).test(element);\n\n\tconst preventTextAreaScrollingOnIOS = element => {\n\t\t// preventsDefault on textarea events when can no longer scroll up or down in textarea\n\t\tlet lastScreenY;\n\n\t\tconst handleTouchStart = e => lastScreenY = e.touches[0].screenY;\n\n\t\tconst handleTouchMove = e => {\n\t\t\tconst currentScreenY = e.touches[0].screenY;\n\t\t\tconst target = e.target;\n\n\t\t\tif ((/textarea/i).test(target.nodeName)) {\n\t\t\t\t// moving down\n\t\t\t\tif (currentScreenY > lastScreenY) {\n\t\t\t\t\tif (target.scrollTop == 0) {\n\t\t\t\t\t\te.preventDefault();\n\t\t\t\t\t}\n\t\t\t\t} else // moving up\n\t\t\t\tif (currentScreenY < lastScreenY) {\n\t\t\t\t\tif (target.scrollTop + target.offsetHeight == target.scrollHeight) {\n\t\t\t\t\t\te.preventDefault();\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\te.preventDefault();\n\t\t\t\t}\n\n\t\t\t\tlastScreenY = currentScreenY;\n\t\t\t} else {\n\t\t\t\te.preventDefault();\n\t\t\t}\n\t\t};\n\n\t\telement.addEventListener('touchstart', handleTouchStart);\n\t\telement.addEventListener('touchmove', handleTouchMove);\n\n\t\treturn () => {\n\t\t\telement.removeEventListener('touchstart', handleTouchStart);\n\t\t\telement.removeEventListener('touchmove', handleTouchMove);\n\t\t};\n\t};\n\n\tconst focus = () => {\n\t\tconst field = root.querySelector('input, textarea');\n\t\tfield.focus();\n\n\t\t// only select when showing for first time\n\t\tif (panelOpacity >= 1) return;\n\n\t\tfield.select();\n\t};\n\n\tconst show = () => {\n\t\tpanelVisible = true;\n\n\t\t// browser does not support keyboard listener, place modal at top of view\n\t\tif (!unsubSoftKeyboardListener && (isIOS() || isAndroid())) {\n\t\t\t$$invalidate(16, panelPosition = 'top:1em;bottom:auto;');\n\t\t}\n\n\t\t// prevent interacting with the root element\n\t\tif (isIOS()) preventTextAreaScrollingOnIOS(root);\n\n\t\t// reveal\n\t\t$$invalidate(17, panelOpacity = 1);\n\t};\n\n\tconst hide = () => {\n\t\tpanelVisible = false;\n\t\t$$invalidate(17, panelOpacity = 0);\n\t};\n\n\tconst handleSoftKeyboard = keyboardState => {\n\t\t// shouldn't stick, we'll stick it to the top of the viewport so the keyboard doesn't obscure the input field\n\t\tif (!shouldStickToKeyboard) {\n\t\t\t$$invalidate(16, panelPosition = `top: 4.5em; bottom: auto`);\n\t\t\treturn;\n\t\t}\n\n\t\t// no need to continue, already hidden\n\t\tif (keyboardState === 'hidden' && !panelVisible) {\n\t\t\tfocus();\n\t\t\treturn;\n\t\t}\n\n\t\t// gonna update position here\n\t\tclearTimeout(panelRevealTimeout);\n\n\t\tpanelRevealTimeout = undefined;\n\n\t\t// position\n\t\t$$invalidate(16, panelPosition = `top:${visualViewport.height - panelHeight - panelOffset.y}px`);\n\n\t\t// if a soft keyboard is detected, turn into modal mode\n\t\tif (keyboardState === 'visible') {\n\t\t\t// stick to keyboard\n\t\t\t$$invalidate(8, root.dataset.layout = 'stick', root);\n\n\t\t\t// need to refocus\n\t\t\tfocus();\n\n\t\t\t// place above keyboard\n\t\t\tshow();\n\t\t} else // keyboard is hidden\n\t\t{\n\t\t\thide();\n\t\t}\n\t};\n\n\tlet focusDateTime;\n\n\tconst handleFocusIn = e => {\n\t\tif (!isTextarea(e.target)) return;\n\n\t\t// we need to remember focus time so we can detect unrealistic blur event caused by soft keyboard shenanigans\n\t\tfocusDateTime = Date.now();\n\n\t\t// move cursor\n\t\tif (autoPositionCursor) cursorMoveToEnd(e.target);\n\n\t\t// wait a couple milliseconds\n\t\tclearTimeout(panelRevealTimeout);\n\n\t\tpanelRevealTimeout = setTimeout(show, panelDelay);\n\t};\n\n\tconst handleFocusOut = e => {\n\t\tconst focusDuration = Date.now() - focusDateTime;\n\t\tif (focusDuration > 50) return;\n\n\t\t// unrealistic blur, refocus\n\t\te.stopPropagation();\n\n\t\tfocus();\n\t};\n\n\tconst unsubSoftKeyboardListener = createSoftKeyboardObserver(handleSoftKeyboard);\n\n\tconst handleMeasure = ({ detail }) => {\n\t\tpanelHeight = detail.height;\n\t};\n\n\tonMount(() => {\n\t\tif (!autoFocus) return;\n\t\tfocus();\n\t});\n\n\tonDestroy(() => {\n\t\tunsubSoftKeyboardListener && unsubSoftKeyboardListener();\n\t});\n\n\tfunction div2_binding($$value) {\n\t\tbinding_callbacks[$$value ? 'unshift' : 'push'](() => {\n\t\t\troot = $$value;\n\t\t\t$$invalidate(8, root);\n\t\t});\n\t}\n\n\t$$self.$$set = $$props => {\n\t\tif ('onconfirm' in $$props) $$invalidate(0, onconfirm = $$props.onconfirm);\n\t\tif ('oncancel' in $$props) $$invalidate(1, oncancel = $$props.oncancel);\n\t\tif ('autoFocus' in $$props) $$invalidate(13, autoFocus = $$props.autoFocus);\n\t\tif ('autoPositionCursor' in $$props) $$invalidate(14, autoPositionCursor = $$props.autoPositionCursor);\n\t\tif ('labelConfirm' in $$props) $$invalidate(2, labelConfirm = $$props.labelConfirm);\n\t\tif ('labelConfirmShow' in $$props) $$invalidate(3, labelConfirmShow = $$props.labelConfirmShow);\n\t\tif ('iconConfirm' in $$props) $$invalidate(4, iconConfirm = $$props.iconConfirm);\n\t\tif ('labelCancel' in $$props) $$invalidate(5, labelCancel = $$props.labelCancel);\n\t\tif ('labelCancelShow' in $$props) $$invalidate(6, labelCancelShow = $$props.labelCancelShow);\n\t\tif ('iconCancel' in $$props) $$invalidate(7, iconCancel = $$props.iconCancel);\n\t\tif ('panelOffset' in $$props) $$invalidate(15, panelOffset = $$props.panelOffset);\n\t\tif ('$$scope' in $$props) $$invalidate(19, $$scope = $$props.$$scope);\n\t};\n\n\t$$self.$$.update = () => {\n\t\tif ($$self.$$.dirty[0] & /*root*/ 256) {\n\t\t\t$$invalidate(18, computedStyle = root && getComputedStyle(root));\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*computedStyle*/ 262144) {\n\t\t\tshouldStickToKeyboard = computedStyle && computedStyle.getPropertyValue('--editor-modal') === '1';\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*panelOpacity, panelPosition*/ 196608) {\n\t\t\t$$invalidate(9, style = `opacity:${panelOpacity};${panelPosition}`);\n\t\t}\n\t};\n\n\treturn [\n\t\tonconfirm,\n\t\toncancel,\n\t\tlabelConfirm,\n\t\tlabelConfirmShow,\n\t\ticonConfirm,\n\t\tlabelCancel,\n\t\tlabelCancelShow,\n\t\ticonCancel,\n\t\troot,\n\t\tstyle,\n\t\thandleFocusIn,\n\t\thandleFocusOut,\n\t\thandleMeasure,\n\t\tautoFocus,\n\t\tautoPositionCursor,\n\t\tpanelOffset,\n\t\tpanelPosition,\n\t\tpanelOpacity,\n\t\tcomputedStyle,\n\t\t$$scope,\n\t\tslots,\n\t\tdiv2_binding\n\t];\n}\n\nclass InputForm extends SvelteComponent {\n\tconstructor(options) {\n\t\tsuper();\n\n\t\tinit(\n\t\t\tthis,\n\t\t\toptions,\n\t\t\tinstance$i,\n\t\t\tcreate_fragment$i,\n\t\t\tsafe_not_equal,\n\t\t\t{\n\t\t\t\tonconfirm: 0,\n\t\t\t\toncancel: 1,\n\t\t\t\tautoFocus: 13,\n\t\t\t\tautoPositionCursor: 14,\n\t\t\t\tlabelConfirm: 2,\n\t\t\t\tlabelConfirmShow: 3,\n\t\t\t\ticonConfirm: 4,\n\t\t\t\tlabelCancel: 5,\n\t\t\t\tlabelCancelShow: 6,\n\t\t\t\ticonCancel: 7,\n\t\t\t\tpanelOffset: 15\n\t\t\t},\n\t\t\tnull,\n\t\t\t[-1, -1]\n\t\t);\n\t}\n}\n\nvar t = (text) => document.createTextNode(text);\n\nvar replaceDivWithBr = (html) => (isSafari() && html.endsWith('<div><br></div>')\n    ? html.replace(/<div><br><\\/div>$/, '<br><br>')\n    : html)\n    .replace(/<div><br><\\/div>/g, '<br>')\n    .replace(/<\\/div>/g, '')\n    .replace(/<div>/g, '<br>');\n\n/* src/core/ui/components/ContentEditable.svelte generated by Svelte v3.52.0 */\n\nfunction create_fragment$h(ctx) {\n\tlet pre;\n\tlet pre_data_wrap_content_value;\n\tlet mounted;\n\tlet dispose;\n\n\treturn {\n\t\tc() {\n\t\t\tpre = element(\"pre\");\n\t\t\tattr(pre, \"class\", \"PinturaContentEditable\");\n\n\t\t\tattr(pre, \"data-wrap-content\", pre_data_wrap_content_value = !/*wrapLines*/ ctx[3] && !/*allowNewline*/ ctx[4]\n\t\t\t? 'nowrap'\n\t\t\t: 'wrap');\n\n\t\t\tattr(pre, \"contenteditable\", \"\");\n\t\t\tattr(pre, \"spellcheck\", /*spellcheck*/ ctx[0]);\n\t\t\tattr(pre, \"autocorrect\", /*autocorrect*/ ctx[1]);\n\t\t\tattr(pre, \"autocapitalize\", /*autocapitalize*/ ctx[2]);\n\t\t\tattr(pre, \"style\", /*contentStyle*/ ctx[6]);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, pre, anchor);\n\t\t\t/*pre_binding*/ ctx[24](pre);\n\n\t\t\tif (!mounted) {\n\t\t\t\tdispose = [\n\t\t\t\t\tlisten(pre, \"input\", /*handleInput*/ ctx[11]),\n\t\t\t\t\tlisten(pre, \"compositionend\", /*handleCompositionEnd*/ ctx[10]),\n\t\t\t\t\tlisten(pre, \"paste\", /*handlePaste*/ ctx[12]),\n\t\t\t\t\tlisten(pre, \"keydown\", /*handleKeydown*/ ctx[8]),\n\t\t\t\t\tlisten(pre, \"keyup\", /*handleKeyup*/ ctx[9]),\n\t\t\t\t\tlisten(pre, \"blur\", /*handleBlur*/ ctx[7])\n\t\t\t\t];\n\n\t\t\t\tmounted = true;\n\t\t\t}\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tif (dirty[0] & /*wrapLines, allowNewline*/ 24 && pre_data_wrap_content_value !== (pre_data_wrap_content_value = !/*wrapLines*/ ctx[3] && !/*allowNewline*/ ctx[4]\n\t\t\t? 'nowrap'\n\t\t\t: 'wrap')) {\n\t\t\t\tattr(pre, \"data-wrap-content\", pre_data_wrap_content_value);\n\t\t\t}\n\n\t\t\tif (dirty[0] & /*spellcheck*/ 1) {\n\t\t\t\tattr(pre, \"spellcheck\", /*spellcheck*/ ctx[0]);\n\t\t\t}\n\n\t\t\tif (dirty[0] & /*autocorrect*/ 2) {\n\t\t\t\tattr(pre, \"autocorrect\", /*autocorrect*/ ctx[1]);\n\t\t\t}\n\n\t\t\tif (dirty[0] & /*autocapitalize*/ 4) {\n\t\t\t\tattr(pre, \"autocapitalize\", /*autocapitalize*/ ctx[2]);\n\t\t\t}\n\n\t\t\tif (dirty[0] & /*contentStyle*/ 64) {\n\t\t\t\tattr(pre, \"style\", /*contentStyle*/ ctx[6]);\n\t\t\t}\n\t\t},\n\t\ti: noop,\n\t\to: noop,\n\t\td(detaching) {\n\t\t\tif (detaching) detach(pre);\n\t\t\t/*pre_binding*/ ctx[24](null);\n\t\t\tmounted = false;\n\t\t\trun_all(dispose);\n\t\t}\n\t};\n}\n\nfunction instance$h($$self, $$props, $$invalidate) {\n\tlet isReady;\n\tlet { spellcheck = 'false' } = $$props;\n\tlet { autocorrect = 'off' } = $$props;\n\tlet { autocapitalize = 'off' } = $$props;\n\tlet { wrapLines = true } = $$props;\n\tlet { allowNewline = true } = $$props;\n\tlet { textFormat = 'text' } = $$props;\n\tlet { formatInput = passthrough } = $$props;\n\tlet { formatPaste = passthrough } = $$props;\n\tlet { style = undefined } = $$props;\n\tlet { innerHTML = undefined } = $$props;\n\tlet { oninput = noop$1 } = $$props;\n\tlet { enableTextStyleShortcuts = false } = $$props;\n\tconst confirm = () => confirmInputState();\n\tconst focus = () => element && element.focus();\n\n\tconst select = () => {\n\t\tif (!element) return;\n\t\tconst range = document.createRange();\n\t\trange.selectNodeContents(element);\n\t\tconst selection = getSelectionSafe();\n\t\tselection.removeAllRanges();\n\t\tselection.addRange(range);\n\t};\n\n\t// events\n\tconst dispatchEvent = createEventDispatcher();\n\n\t// reference to contenteditable element\n\tlet element;\n\n\t// use <br> for line breaks\n\tdocument.execCommand('defaultParagraphSeparator', false, 'br');\n\n\tconst setInnerHTML = html => {\n\t\tif (html === element.innerHTML) return;\n\t\t$$invalidate(5, element.innerHTML = html, element);\n\t\tif (element === document.activeElement) select();\n\t};\n\n\tconst removeTextStyles = html => {\n\t\treturn html.replace(/<\\/?(?:i|b|em|u|s|strike|strong|font)>/, '').replace(/style=\".*?\"/g, '').replace(/\\n/gim, '<br>');\n\t};\n\n\tconst updateInnerHTML = () => {\n\t\t// sync property\n\t\t$$invalidate(13, innerHTML = element.innerHTML);\n\n\t\t// let others know\n\t\tconst currentValue = replaceDivWithBr(innerHTML);\n\n\t\tdispatchEvent('input', currentValue);\n\t\toninput(currentValue);\n\n\t\t// always scroll to top\n\t\trequestAnimationFrame(() => element && element.scrollTo(0, 0));\n\t};\n\n\tconst confirmInputState = () => {\n\t\t// bookmark caret positions\n\t\tinsertBookmarks(element);\n\n\t\t// remove styles\n\t\tconst html = textFormat === 'html'\n\t\t? element.innerHTML\n\t\t: removeTextStyles(element.innerHTML);\n\n\t\t// update HTML (don't remove caret positions)\n\t\t$$invalidate(5, element.innerHTML = formatInput(html), element);\n\n\t\t// select bookmarks and remove from DOM\n\t\tselectBookmarks(element);\n\n\t\t// content updated\n\t\tupdateInnerHTML();\n\t};\n\n\tconst handleBlur = () => {\n\t\tdispatchEvent('blur');\n\t};\n\n\tconst handleConfirm = () => {\n\t\tdispatchEvent('confirm');\n\t};\n\n\tconst handleCancel = () => {\n\t\tdispatchEvent('cancel');\n\t};\n\n\tconst styleKeys = {\n\t\tb: 'bold',\n\t\ti: 'italic',\n\t\tu: 'underline',\n\t\ts: 'strikethrough'\n\t};\n\n\tconst handleStyleShortcut = key => {\n\t\tconst cmd = styleKeys[key];\n\t\tcmd && document.execCommand(cmd);\n\t};\n\n\tconst handleKeydown = e => {\n\t\t// is escape key, cancel\n\t\tif ((/escape/i).test(e.code)) {\n\t\t\te.stopPropagation();\n\t\t\treturn handleCancel();\n\t\t}\n\n\t\tconst cmdPressed = e.ctrlKey || e.metaKey;\n\n\t\t// prevent text style keys\n\t\tif (textFormat === 'html' && cmdPressed) {\n\t\t\tif ((/b|i|u|s/).test(e.key)) {\n\t\t\t\tenableTextStyleShortcuts && handleStyleShortcut(e.key);\n\t\t\t\te.preventDefault();\n\t\t\t\treturn;\n\t\t\t}\n\t\t}\n\n\t\t// stop here\n\t\tif (!(/enter/i).test(e.code)) return;\n\n\t\t// don't let others handle return while in text area\n\t\te.stopPropagation();\n\n\t\t// is cmd + enter or ctrl + enter\n\t\tif (cmdPressed) return handleConfirm();\n\n\t\t// block return when newlines not allowed\n\t\tif (!allowNewline) e.preventDefault();\n\n\t\tdocument.execCommand('insertLineBreak');\n\t\te.preventDefault();\n\t};\n\n\tconst handleKeyup = () => {\n\t\t\n\t};\n\n\tconst handleCompositionEnd = e => {\n\t\tif (e.data === '') return;\n\t\tconfirmInputState();\n\t};\n\n\tconst handleInput = e => {\n\t\tconst { inputType } = e;\n\n\t\t// more info on when inputType is which value\n\t\t// https://rawgit.com/w3c/input-events/v1/index.html#interface-InputEvent-Attributes\n\t\tif (inputType === 'insertCompositionText' || inputType === 'deleteCompositionText') {\n\t\t\t// we're composing (to for example write é, or Japanese characters),\n\t\t\t// if so, wait for composition end before formatting content\n\t\t\treturn;\n\t\t}\n\n\t\tconfirmInputState();\n\t};\n\n\tconst handlePaste = e => {\n\t\te.preventDefault();\n\n\t\t// remove styles\n\t\tconst plainText = e.clipboardData.getData('text/plain');\n\n\t\tconst html = textFormat === 'html'\n\t\t? plainText\n\t\t: removeTextStyles(plainText);\n\n\t\t// format the pasted text before adding\n\t\tconst text = formatPaste(html);\n\n\t\tif (!text.length) return;\n\n\t\t// get range for current selection and replace with text\n\t\tconst range = getSelectionSafe().getRangeAt(0);\n\n\t\trange.deleteContents();\n\t\trange.insertNode(document.createTextNode(text));\n\n\t\t// content updated\n\t\tupdateInnerHTML();\n\t};\n\n\t//#region bookmarks\n\tconst createBookmark = name => {\n\t\tconst bookmarkNode = h('span');\n\t\tbookmarkNode.dataset.bookmark = name;\n\t\treturn bookmarkNode;\n\t};\n\n\tconst insertBookmark = (node, offset, name) => {\n\t\t// create the bookmark element\n\t\tconst bookmarkNode = createBookmark(name);\n\n\t\t// split up in two text nodes and insert\n\t\tif (node.nodeType === Node.TEXT_NODE) {\n\t\t\tconst text = node.textContent;\n\n\t\t\tif (name === 'start') {\n\t\t\t\tconst before = t(text.substr(0, offset));\n\t\t\t\tconst after = t(text.substr(offset));\n\t\t\t\tnode.replaceWith(before, bookmarkNode, after);\n\t\t\t} else {\n\t\t\t\tconst before = t(text.substr(0, offset));\n\t\t\t\tconst after = t(text.substr(offset));\n\t\t\t\tnode.replaceWith(before, bookmarkNode, after);\n\t\t\t}\n\t\t} else // is node\n\t\tif (node.nodeType === Node.ELEMENT_NODE) {\n\t\t\tnode.insertBefore(bookmarkNode, node.childNodes[offset]);\n\t\t}\n\t};\n\n\tconst getSelectionSafe = () => {\n\t\tconst root = element.getRootNode();\n\n\t\t// chrome needs to select from shadowRoot if in Shadow DOM\n\t\t// firefox can select from document and doesn't have getSelection support on shadowRoot\n\t\t// safari cannot deal with text selection in shadowRoot at this time (MacOS Safari 16)\n\t\treturn 'getSelection' in root\n\t\t? root.getSelection()\n\t\t: document.getSelection();\n\t};\n\n\tconst insertBookmarks = element => {\n\t\tconst selection = getSelectionSafe();\n\t\tif (!(selection.getRangeAt && selection.rangeCount)) return;\n\t\tconst range = selection.getRangeAt(0);\n\t\tconst { startOffset, endOffset, startContainer, endContainer } = range;\n\n\t\t// range needs to be in element\n\t\tif (!element.contains(range.startContainer) || !element.contains(range.endContainer)) return;\n\n\t\t// should break up one text container\n\t\tif (startContainer.nodeType === Node.TEXT_NODE && startContainer === endContainer) {\n\t\t\tconst text = startContainer.textContent;\n\t\t\tconst before = text.substr(0, startOffset);\n\t\t\tconst bookmarkStart = createBookmark('start');\n\n\t\t\tconst selected = endOffset - startOffset > 0\n\t\t\t? text.substr(startOffset, endOffset)\n\t\t\t: '';\n\n\t\t\tconst bookmarkEnd = createBookmark('end');\n\t\t\tconst after = text.substr(endOffset);\n\t\t\tstartContainer.replaceWith(before, bookmarkStart, selected, bookmarkEnd, after);\n\t\t} else // should add to separate containers\n\t\t{\n\t\t\tinsertBookmark(startContainer, startOffset, 'start');\n\n\t\t\tinsertBookmark(\n\t\t\t\tendContainer,\n\t\t\t\t// if is same container need to move to next index as we've just added start bookmark\n\t\t\t\tendOffset + (startContainer === endContainer ? 1 : 0),\n\t\t\t\t'end'\n\t\t\t);\n\t\t}\n\t};\n\n\tconst selectBookmarks = element => {\n\t\t// get locations of bookmarks\n\t\tconst bookmarkStart = findBookmark(element, 'start');\n\n\t\tconst bookmarkEnd = findBookmark(element, 'end');\n\n\t\t// remove bookmarks (if found)\n\t\tif (!bookmarkStart || !bookmarkEnd) return;\n\n\t\t// set caret positions\n\t\tconst range = document.createRange();\n\n\t\trange.setStart(bookmarkStart, 0);\n\t\trange.setEnd(bookmarkEnd, 0);\n\t\tconst selection = getSelectionSafe();\n\t\tselection.removeAllRanges();\n\t\tselection.addRange(range);\n\n\t\t// remove bookmarks\n\t\tbookmarkStart.remove();\n\n\t\tbookmarkEnd.remove();\n\t};\n\n\tconst findBookmark = (element, name) => {\n\t\tconst children = element.children;\n\n\t\tfor (let i = 0; i < children.length; i++) {\n\t\t\tconst node = children[i];\n\t\t\tif (node.dataset.bookmark === name) return node;\n\n\t\t\tif (node.children.length) {\n\t\t\t\tconst bookmarkNode = findBookmark(node, name);\n\t\t\t\tif (bookmarkNode) return bookmarkNode;\n\t\t\t}\n\t\t}\n\n\t\treturn;\n\t};\n\n\t// add extra space on left or right side of content input so special symbols\n\t// are rendered on correct line while waiting for completion\n\tlet contentStyle;\n\n\tfunction pre_binding($$value) {\n\t\tbinding_callbacks[$$value ? 'unshift' : 'push'](() => {\n\t\t\telement = $$value;\n\t\t\t$$invalidate(5, element);\n\t\t});\n\t}\n\n\t$$self.$$set = $$props => {\n\t\tif ('spellcheck' in $$props) $$invalidate(0, spellcheck = $$props.spellcheck);\n\t\tif ('autocorrect' in $$props) $$invalidate(1, autocorrect = $$props.autocorrect);\n\t\tif ('autocapitalize' in $$props) $$invalidate(2, autocapitalize = $$props.autocapitalize);\n\t\tif ('wrapLines' in $$props) $$invalidate(3, wrapLines = $$props.wrapLines);\n\t\tif ('allowNewline' in $$props) $$invalidate(4, allowNewline = $$props.allowNewline);\n\t\tif ('textFormat' in $$props) $$invalidate(14, textFormat = $$props.textFormat);\n\t\tif ('formatInput' in $$props) $$invalidate(15, formatInput = $$props.formatInput);\n\t\tif ('formatPaste' in $$props) $$invalidate(16, formatPaste = $$props.formatPaste);\n\t\tif ('style' in $$props) $$invalidate(17, style = $$props.style);\n\t\tif ('innerHTML' in $$props) $$invalidate(13, innerHTML = $$props.innerHTML);\n\t\tif ('oninput' in $$props) $$invalidate(18, oninput = $$props.oninput);\n\t\tif ('enableTextStyleShortcuts' in $$props) $$invalidate(19, enableTextStyleShortcuts = $$props.enableTextStyleShortcuts);\n\t};\n\n\t$$self.$$.update = () => {\n\t\tif ($$self.$$.dirty[0] & /*element*/ 32) {\n\t\t\t// set value when html property is set and element reference is bound\n\t\t\t$$invalidate(23, isReady = !!element);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*isReady, innerHTML*/ 8396800) {\n\t\t\tif (isReady && innerHTML) setInnerHTML(innerHTML);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*wrapLines, allowNewline, style*/ 131096) {\n\t\t\tif (!wrapLines && allowNewline) {\n\t\t\t\t// TODO: no fix for center text yet\n\t\t\t\tconst contentStyleAdditional = style.includes(':right')\n\t\t\t\t? 'text-indent:-100px!important'\n\t\t\t\t: !style.includes(':center')\n\t\t\t\t\t? 'min-width:calc(100% + 100px)!important'\n\t\t\t\t\t: '';\n\n\t\t\t\t$$invalidate(6, contentStyle = style + ';overflow:visible;' + contentStyleAdditional);\n\t\t\t} else {\n\t\t\t\t$$invalidate(6, contentStyle = style);\n\t\t\t}\n\t\t}\n\t};\n\n\treturn [\n\t\tspellcheck,\n\t\tautocorrect,\n\t\tautocapitalize,\n\t\twrapLines,\n\t\tallowNewline,\n\t\telement,\n\t\tcontentStyle,\n\t\thandleBlur,\n\t\thandleKeydown,\n\t\thandleKeyup,\n\t\thandleCompositionEnd,\n\t\thandleInput,\n\t\thandlePaste,\n\t\tinnerHTML,\n\t\ttextFormat,\n\t\tformatInput,\n\t\tformatPaste,\n\t\tstyle,\n\t\toninput,\n\t\tenableTextStyleShortcuts,\n\t\tconfirm,\n\t\tfocus,\n\t\tselect,\n\t\tisReady,\n\t\tpre_binding\n\t];\n}\n\nclass ContentEditable extends SvelteComponent {\n\tconstructor(options) {\n\t\tsuper();\n\n\t\tinit(\n\t\t\tthis,\n\t\t\toptions,\n\t\t\tinstance$h,\n\t\t\tcreate_fragment$h,\n\t\t\tsafe_not_equal,\n\t\t\t{\n\t\t\t\tspellcheck: 0,\n\t\t\t\tautocorrect: 1,\n\t\t\t\tautocapitalize: 2,\n\t\t\t\twrapLines: 3,\n\t\t\t\tallowNewline: 4,\n\t\t\t\ttextFormat: 14,\n\t\t\t\tformatInput: 15,\n\t\t\t\tformatPaste: 16,\n\t\t\t\tstyle: 17,\n\t\t\t\tinnerHTML: 13,\n\t\t\t\toninput: 18,\n\t\t\t\tenableTextStyleShortcuts: 19,\n\t\t\t\tconfirm: 20,\n\t\t\t\tfocus: 21,\n\t\t\t\tselect: 22\n\t\t\t},\n\t\t\tnull,\n\t\t\t[-1, -1]\n\t\t);\n\t}\n\n\tget spellcheck() {\n\t\treturn this.$$.ctx[0];\n\t}\n\n\tset spellcheck(spellcheck) {\n\t\tthis.$$set({ spellcheck });\n\t\tflush();\n\t}\n\n\tget autocorrect() {\n\t\treturn this.$$.ctx[1];\n\t}\n\n\tset autocorrect(autocorrect) {\n\t\tthis.$$set({ autocorrect });\n\t\tflush();\n\t}\n\n\tget autocapitalize() {\n\t\treturn this.$$.ctx[2];\n\t}\n\n\tset autocapitalize(autocapitalize) {\n\t\tthis.$$set({ autocapitalize });\n\t\tflush();\n\t}\n\n\tget wrapLines() {\n\t\treturn this.$$.ctx[3];\n\t}\n\n\tset wrapLines(wrapLines) {\n\t\tthis.$$set({ wrapLines });\n\t\tflush();\n\t}\n\n\tget allowNewline() {\n\t\treturn this.$$.ctx[4];\n\t}\n\n\tset allowNewline(allowNewline) {\n\t\tthis.$$set({ allowNewline });\n\t\tflush();\n\t}\n\n\tget textFormat() {\n\t\treturn this.$$.ctx[14];\n\t}\n\n\tset textFormat(textFormat) {\n\t\tthis.$$set({ textFormat });\n\t\tflush();\n\t}\n\n\tget formatInput() {\n\t\treturn this.$$.ctx[15];\n\t}\n\n\tset formatInput(formatInput) {\n\t\tthis.$$set({ formatInput });\n\t\tflush();\n\t}\n\n\tget formatPaste() {\n\t\treturn this.$$.ctx[16];\n\t}\n\n\tset formatPaste(formatPaste) {\n\t\tthis.$$set({ formatPaste });\n\t\tflush();\n\t}\n\n\tget style() {\n\t\treturn this.$$.ctx[17];\n\t}\n\n\tset style(style) {\n\t\tthis.$$set({ style });\n\t\tflush();\n\t}\n\n\tget innerHTML() {\n\t\treturn this.$$.ctx[13];\n\t}\n\n\tset innerHTML(innerHTML) {\n\t\tthis.$$set({ innerHTML });\n\t\tflush();\n\t}\n\n\tget oninput() {\n\t\treturn this.$$.ctx[18];\n\t}\n\n\tset oninput(oninput) {\n\t\tthis.$$set({ oninput });\n\t\tflush();\n\t}\n\n\tget enableTextStyleShortcuts() {\n\t\treturn this.$$.ctx[19];\n\t}\n\n\tset enableTextStyleShortcuts(enableTextStyleShortcuts) {\n\t\tthis.$$set({ enableTextStyleShortcuts });\n\t\tflush();\n\t}\n\n\tget confirm() {\n\t\treturn this.$$.ctx[20];\n\t}\n\n\tget focus() {\n\t\treturn this.$$.ctx[21];\n\t}\n\n\tget select() {\n\t\treturn this.$$.ctx[22];\n\t}\n}\n\nconst DefaultFormattingTags = ['i', 'b', 'u', 'strike'].map((tag) => ({\n    tag,\n    tagOpen: new RegExp(`<${tag}>`, 'g'),\n    tagClose: new RegExp(`<\\/${tag}>`, 'g'),\n    placeholderOpen: new RegExp(`___${tag}O___`, 'g'),\n    placeholderClose: new RegExp(`___${tag}C___`, 'g'),\n}));\nconst replaceFormattingTags = (str, tags = DefaultFormattingTags) => {\n    tags.forEach(({ tag, tagOpen, tagClose }) => {\n        str = str.replace(tagOpen, `___${tag}O___`).replace(tagClose, `___${tag}C___`);\n    });\n    return str;\n};\nconst restoreFormattingTags = (str, tags = DefaultFormattingTags) => {\n    tags.forEach(({ tag, placeholderOpen, placeholderClose }) => {\n        str = str.replace(placeholderOpen, `<${tag}>`).replace(placeholderClose, `</${tag}>`);\n    });\n    return str;\n};\nvar textToHTML = (text) => {\n    // temporary replace bold italic\n    text = replaceFormattingTags(text);\n    // now encode\n    text = text\n        // collapse space sequences\n        .replace(/ {2,}/g, ' ')\n        // handle non breaking space characters\n        .replace(/\\u00a0/g, '&nbsp;')\n        // lines\n        .split('\\n')\n        // to br's\n        .join('<br>');\n    // put back bold and italic\n    text = restoreFormattingTags(text);\n    return text;\n};\n\nvar htmlToText = (html) => {\n    const lines = replaceDivWithBr(html).split(/<br>|<br\\/>/g);\n    return lines\n        .join('\\n')\n        .replace(/&nbsp;/g, String.fromCharCode(160))\n        .replace(/&amp;/g, '&');\n};\n\nvar fromPercentage = (value, context) => isString(value) ? (parseFloat(value) / 100) * context : value;\n\nvar toPercentagePoint = (point, context) => ({\n    x: toPercentage(point.x, context.width),\n    y: toPercentage(point.y, context.height),\n});\n\n/* src/core/ui/components/ShapeLayoutEditor.svelte generated by Svelte v3.52.0 */\n\nfunction get_each_context$3(ctx, list, i) {\n\tconst child_ctx = ctx.slice();\n\tchild_ctx[224] = list[i];\n\tchild_ctx[226] = i;\n\treturn child_ctx;\n}\n\n// (3548:12) {#each shapeNavList as item, index (item.id)}\nfunction create_each_block$3(key_1, ctx) {\n\tlet li;\n\tlet button;\n\tlet colorpreview;\n\tlet t0;\n\tlet span;\n\tlet t1_value = /*item*/ ctx[224].name + \"\";\n\tlet t1;\n\tlet button_aria_label_value;\n\tlet t2;\n\tlet current;\n\tlet mounted;\n\tlet dispose;\n\n\tcolorpreview = new ColorPreview({\n\t\t\tprops: { color: /*item*/ ctx[224].color }\n\t\t});\n\n\tfunction click_handler() {\n\t\treturn /*click_handler*/ ctx[152](/*index*/ ctx[226]);\n\t}\n\n\treturn {\n\t\tkey: key_1,\n\t\tfirst: null,\n\t\tc() {\n\t\t\tli = element(\"li\");\n\t\t\tbutton = element(\"button\");\n\t\t\tcreate_component(colorpreview.$$.fragment);\n\t\t\tt0 = space();\n\t\t\tspan = element(\"span\");\n\t\t\tt1 = text(t1_value);\n\t\t\tt2 = space();\n\t\t\tattr(button, \"class\", \"PinturaShapeListItem\");\n\t\t\tattr(button, \"type\", \"button\");\n\t\t\tattr(button, \"aria-label\", button_aria_label_value = \"Select shape \" + /*item*/ ctx[224].name);\n\t\t\tthis.first = li;\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, li, anchor);\n\t\t\tappend(li, button);\n\t\t\tmount_component(colorpreview, button, null);\n\t\t\tappend(button, t0);\n\t\t\tappend(button, span);\n\t\t\tappend(span, t1);\n\t\t\tappend(li, t2);\n\t\t\tcurrent = true;\n\n\t\t\tif (!mounted) {\n\t\t\t\tdispose = listen(button, \"click\", click_handler);\n\t\t\t\tmounted = true;\n\t\t\t}\n\t\t},\n\t\tp(new_ctx, dirty) {\n\t\t\tctx = new_ctx;\n\t\t\tconst colorpreview_changes = {};\n\t\t\tif (dirty[0] & /*shapeNavList*/ 1048576) colorpreview_changes.color = /*item*/ ctx[224].color;\n\t\t\tcolorpreview.$set(colorpreview_changes);\n\t\t\tif ((!current || dirty[0] & /*shapeNavList*/ 1048576) && t1_value !== (t1_value = /*item*/ ctx[224].name + \"\")) set_data(t1, t1_value);\n\n\t\t\tif (!current || dirty[0] & /*shapeNavList*/ 1048576 && button_aria_label_value !== (button_aria_label_value = \"Select shape \" + /*item*/ ctx[224].name)) {\n\t\t\t\tattr(button, \"aria-label\", button_aria_label_value);\n\t\t\t}\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(colorpreview.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(colorpreview.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(li);\n\t\t\tdestroy_component(colorpreview);\n\t\t\tmounted = false;\n\t\t\tdispose();\n\t\t}\n\t};\n}\n\n// (3564:4) {#if shouldRenderShapeManipulator}\nfunction create_if_block_4$2(ctx) {\n\tlet shapemanipulator;\n\tlet current;\n\n\tshapemanipulator = new ShapeManipulator({\n\t\t\tprops: {\n\t\t\t\tvisible: true,\n\t\t\t\tpoints: /*shapeManipulatorPoints*/ ctx[12],\n\t\t\t\trotatorPoint: /*shapeManipulatorRotationPointPosition*/ ctx[26],\n\t\t\t\tenableDragEdges: /*allowEdgeControls*/ ctx[16],\n\t\t\t\tenableDragPoints: /*allowCornerControls*/ ctx[28],\n\t\t\t\tenableRotatePoints: /*allowRotateControls*/ ctx[14]\n\t\t\t}\n\t\t});\n\n\tshapemanipulator.$on(\"resizestart\", /*handleManipulatorResizeGrab*/ ctx[36]);\n\tshapemanipulator.$on(\"resizemove\", /*handleManipulatorResizeDrag*/ ctx[37]);\n\tshapemanipulator.$on(\"resizeend\", /*handleManipulatorResizeEnd*/ ctx[38]);\n\tshapemanipulator.$on(\"rotatestart\", /*handleManipulatorRotateGrab*/ ctx[39]);\n\tshapemanipulator.$on(\"rotatemove\", /*handleManipulatorRotateDrag*/ ctx[40]);\n\tshapemanipulator.$on(\"rotateend\", /*handleManipulatorRotateEnd*/ ctx[41]);\n\n\treturn {\n\t\tc() {\n\t\t\tcreate_component(shapemanipulator.$$.fragment);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tmount_component(shapemanipulator, target, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tconst shapemanipulator_changes = {};\n\t\t\tif (dirty[0] & /*shapeManipulatorPoints*/ 4096) shapemanipulator_changes.points = /*shapeManipulatorPoints*/ ctx[12];\n\t\t\tif (dirty[0] & /*shapeManipulatorRotationPointPosition*/ 67108864) shapemanipulator_changes.rotatorPoint = /*shapeManipulatorRotationPointPosition*/ ctx[26];\n\t\t\tif (dirty[0] & /*allowEdgeControls*/ 65536) shapemanipulator_changes.enableDragEdges = /*allowEdgeControls*/ ctx[16];\n\t\t\tif (dirty[0] & /*allowCornerControls*/ 268435456) shapemanipulator_changes.enableDragPoints = /*allowCornerControls*/ ctx[28];\n\t\t\tif (dirty[0] & /*allowRotateControls*/ 16384) shapemanipulator_changes.enableRotatePoints = /*allowRotateControls*/ ctx[14];\n\t\t\tshapemanipulator.$set(shapemanipulator_changes);\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(shapemanipulator.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(shapemanipulator.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tdestroy_component(shapemanipulator, detaching);\n\t\t}\n\t};\n}\n\n// (3581:4) {#if shouldRenderTextInput}\nfunction create_if_block_1$2(ctx) {\n\tlet current_block_type_index;\n\tlet if_block;\n\tlet if_block_anchor;\n\tlet current;\n\tconst if_block_creators = [create_if_block_2$2, create_if_block_3$2];\n\tconst if_blocks = [];\n\n\tfunction select_block_type(ctx, dirty) {\n\t\tif (/*textInputMode*/ ctx[4] === 'modal') return 0;\n\t\tif (/*textInputMode*/ ctx[4] === 'inline') return 1;\n\t\treturn -1;\n\t}\n\n\tif (~(current_block_type_index = select_block_type(ctx))) {\n\t\tif_block = if_blocks[current_block_type_index] = if_block_creators[current_block_type_index](ctx);\n\t}\n\n\treturn {\n\t\tc() {\n\t\t\tif (if_block) if_block.c();\n\t\t\tif_block_anchor = empty();\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tif (~current_block_type_index) {\n\t\t\t\tif_blocks[current_block_type_index].m(target, anchor);\n\t\t\t}\n\n\t\t\tinsert(target, if_block_anchor, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tlet previous_block_index = current_block_type_index;\n\t\t\tcurrent_block_type_index = select_block_type(ctx);\n\n\t\t\tif (current_block_type_index === previous_block_index) {\n\t\t\t\tif (~current_block_type_index) {\n\t\t\t\t\tif_blocks[current_block_type_index].p(ctx, dirty);\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\tif (if_block) {\n\t\t\t\t\tgroup_outros();\n\n\t\t\t\t\ttransition_out(if_blocks[previous_block_index], 1, 1, () => {\n\t\t\t\t\t\tif_blocks[previous_block_index] = null;\n\t\t\t\t\t});\n\n\t\t\t\t\tcheck_outros();\n\t\t\t\t}\n\n\t\t\t\tif (~current_block_type_index) {\n\t\t\t\t\tif_block = if_blocks[current_block_type_index];\n\n\t\t\t\t\tif (!if_block) {\n\t\t\t\t\t\tif_block = if_blocks[current_block_type_index] = if_block_creators[current_block_type_index](ctx);\n\t\t\t\t\t\tif_block.c();\n\t\t\t\t\t} else {\n\t\t\t\t\t\tif_block.p(ctx, dirty);\n\t\t\t\t\t}\n\n\t\t\t\t\ttransition_in(if_block, 1);\n\t\t\t\t\tif_block.m(if_block_anchor.parentNode, if_block_anchor);\n\t\t\t\t} else {\n\t\t\t\t\tif_block = null;\n\t\t\t\t}\n\t\t\t}\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(if_block);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(if_block);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (~current_block_type_index) {\n\t\t\t\tif_blocks[current_block_type_index].d(detaching);\n\t\t\t}\n\n\t\t\tif (detaching) detach(if_block_anchor);\n\t\t}\n\t};\n}\n\n// (3605:45) \nfunction create_if_block_3$2(ctx) {\n\tlet div;\n\tlet contenteditable;\n\tlet current;\n\tlet mounted;\n\tlet dispose;\n\n\tlet contenteditable_props = {\n\t\tformatInput: /*formatContentEditable*/ ctx[43],\n\t\twrapLines: !!/*activeMarkupComputed*/ ctx[13].width,\n\t\ttextFormat: /*activeMarkupComputed*/ ctx[13].format,\n\t\tenableTextStyleShortcuts: /*enableTextStyleControls*/ ctx[5],\n\t\tallowNewline: /*shapeAllowNewline*/ ctx[27],\n\t\tstyle: /*textInputTextStyles*/ ctx[25]\n\t};\n\n\tcontenteditable = new ContentEditable({ props: contenteditable_props });\n\t/*contenteditable_binding*/ ctx[155](contenteditable);\n\tcontenteditable.$on(\"input\", /*handleTextInput*/ ctx[44]);\n\tcontenteditable.$on(\"keyup\", /*handleTextInputKeyUp*/ ctx[47]);\n\tcontenteditable.$on(\"cancel\", /*handleTextCancel*/ ctx[49]);\n\tcontenteditable.$on(\"confirm\", /*handleTextConfirm*/ ctx[48]);\n\n\treturn {\n\t\tc() {\n\t\t\tdiv = element(\"div\");\n\t\t\tcreate_component(contenteditable.$$.fragment);\n\t\t\tattr(div, \"class\", \"PinturaInlineInput\");\n\t\t\tattr(div, \"style\", /*textInputPositionStyles*/ ctx[24]);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, div, anchor);\n\t\t\tmount_component(contenteditable, div, null);\n\t\t\tcurrent = true;\n\n\t\t\tif (!mounted) {\n\t\t\t\tdispose = listen(div, \"focusout\", /*focusout_handler*/ ctx[156]);\n\t\t\t\tmounted = true;\n\t\t\t}\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tconst contenteditable_changes = {};\n\t\t\tif (dirty[0] & /*activeMarkupComputed*/ 8192) contenteditable_changes.wrapLines = !!/*activeMarkupComputed*/ ctx[13].width;\n\t\t\tif (dirty[0] & /*activeMarkupComputed*/ 8192) contenteditable_changes.textFormat = /*activeMarkupComputed*/ ctx[13].format;\n\t\t\tif (dirty[0] & /*enableTextStyleControls*/ 32) contenteditable_changes.enableTextStyleShortcuts = /*enableTextStyleControls*/ ctx[5];\n\t\t\tif (dirty[0] & /*shapeAllowNewline*/ 134217728) contenteditable_changes.allowNewline = /*shapeAllowNewline*/ ctx[27];\n\t\t\tif (dirty[0] & /*textInputTextStyles*/ 33554432) contenteditable_changes.style = /*textInputTextStyles*/ ctx[25];\n\t\t\tcontenteditable.$set(contenteditable_changes);\n\n\t\t\tif (!current || dirty[0] & /*textInputPositionStyles*/ 16777216) {\n\t\t\t\tattr(div, \"style\", /*textInputPositionStyles*/ ctx[24]);\n\t\t\t}\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(contenteditable.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(contenteditable.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(div);\n\t\t\t/*contenteditable_binding*/ ctx[155](null);\n\t\t\tdestroy_component(contenteditable);\n\t\t\tmounted = false;\n\t\t\tdispose();\n\t\t}\n\t};\n}\n\n// (3582:8) {#if textInputMode === 'modal'}\nfunction create_if_block_2$2(ctx) {\n\tlet inputform;\n\tlet current;\n\n\tinputform = new InputForm({\n\t\t\tprops: {\n\t\t\t\tpanelOffset: /*offset*/ ctx[2],\n\t\t\t\tonconfirm: /*handleTextConfirm*/ ctx[48],\n\t\t\t\toncancel: /*handleTextCancel*/ ctx[49],\n\t\t\t\tlabelCancel: /*locale*/ ctx[6].shapeLabelInputCancel,\n\t\t\t\ticonCancel: /*locale*/ ctx[6].shapeIconInputCancel,\n\t\t\t\tlabelConfirm: /*locale*/ ctx[6].shapeLabelInputConfirm,\n\t\t\t\ticonConfirm: /*locale*/ ctx[6].shapeIconInputConfirm,\n\t\t\t\t$$slots: { default: [create_default_slot$7] },\n\t\t\t\t$$scope: { ctx }\n\t\t\t}\n\t\t});\n\n\treturn {\n\t\tc() {\n\t\t\tcreate_component(inputform.$$.fragment);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tmount_component(inputform, target, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tconst inputform_changes = {};\n\t\t\tif (dirty[0] & /*offset*/ 4) inputform_changes.panelOffset = /*offset*/ ctx[2];\n\t\t\tif (dirty[0] & /*locale*/ 64) inputform_changes.labelCancel = /*locale*/ ctx[6].shapeLabelInputCancel;\n\t\t\tif (dirty[0] & /*locale*/ 64) inputform_changes.iconCancel = /*locale*/ ctx[6].shapeIconInputCancel;\n\t\t\tif (dirty[0] & /*locale*/ 64) inputform_changes.labelConfirm = /*locale*/ ctx[6].shapeLabelInputConfirm;\n\t\t\tif (dirty[0] & /*locale*/ 64) inputform_changes.iconConfirm = /*locale*/ ctx[6].shapeIconInputConfirm;\n\n\t\t\tif (dirty[0] & /*textInputTextStyles, textInput, textInputText*/ 41943296 | dirty[7] & /*$$scope*/ 1024) {\n\t\t\t\tinputform_changes.$$scope = { dirty, ctx };\n\t\t\t}\n\n\t\t\tinputform.$set(inputform_changes);\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(inputform.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(inputform.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tdestroy_component(inputform, detaching);\n\t\t}\n\t};\n}\n\n// (3583:12) <InputForm                 panelOffset={offset}                 onconfirm={handleTextConfirm}                 oncancel={handleTextCancel}                 labelCancel={locale.shapeLabelInputCancel}                 iconCancel={locale.shapeIconInputCancel}                 labelConfirm={locale.shapeLabelInputConfirm}                 iconConfirm={locale.shapeIconInputConfirm}             >\nfunction create_default_slot$7(ctx) {\n\tlet textarea;\n\tlet mounted;\n\tlet dispose;\n\n\treturn {\n\t\tc() {\n\t\t\ttextarea = element(\"textarea\");\n\t\t\tattr(textarea, \"spellcheck\", \"false\");\n\t\t\tattr(textarea, \"autocorrect\", \"off\");\n\t\t\tattr(textarea, \"autocapitalize\", \"off\");\n\t\t\tattr(textarea, \"style\", /*textInputTextStyles*/ ctx[25]);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, textarea, anchor);\n\t\t\t/*textarea_binding*/ ctx[153](textarea);\n\t\t\tset_input_value(textarea, /*textInputText*/ ctx[23]);\n\n\t\t\tif (!mounted) {\n\t\t\t\tdispose = [\n\t\t\t\t\tlisten(textarea, \"keydown\", /*handleTextInputKeyDown*/ ctx[46]),\n\t\t\t\t\tlisten(textarea, \"keypress\", /*handleTextInputAttempt*/ ctx[45]),\n\t\t\t\t\tlisten(textarea, \"keyup\", /*handleTextInputKeyUp*/ ctx[47]),\n\t\t\t\t\tlisten(textarea, \"input\", /*handleTextInput*/ ctx[44]),\n\t\t\t\t\tlisten(textarea, \"input\", /*textarea_input_handler*/ ctx[154])\n\t\t\t\t];\n\n\t\t\t\tmounted = true;\n\t\t\t}\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tif (dirty[0] & /*textInputTextStyles*/ 33554432) {\n\t\t\t\tattr(textarea, \"style\", /*textInputTextStyles*/ ctx[25]);\n\t\t\t}\n\n\t\t\tif (dirty[0] & /*textInputText*/ 8388608) {\n\t\t\t\tset_input_value(textarea, /*textInputText*/ ctx[23]);\n\t\t\t}\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(textarea);\n\t\t\t/*textarea_binding*/ ctx[153](null);\n\t\t\tmounted = false;\n\t\t\trun_all(dispose);\n\t\t}\n\t};\n}\n\n// (3631:4) {#if $markupControlsOpacity > 0}\nfunction create_if_block$3(ctx) {\n\tlet div;\n\tlet dynamiccomponenttree;\n\tlet current;\n\tlet mounted;\n\tlet dispose;\n\n\tdynamiccomponenttree = new DynamicComponentTree_1({\n\t\t\tprops: {\n\t\t\t\titems: /*shapeControls*/ ctx[21],\n\t\t\t\tkey: /*activeShapeId*/ ctx[10]\n\t\t\t}\n\t\t});\n\n\treturn {\n\t\tc() {\n\t\t\tdiv = element(\"div\");\n\t\t\tcreate_component(dynamiccomponenttree.$$.fragment);\n\t\t\tattr(div, \"class\", \"PinturaShapeControls\");\n\t\t\tattr(div, \"style\", /*markupControlsStyle*/ ctx[22]);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, div, anchor);\n\t\t\tmount_component(dynamiccomponenttree, div, null);\n\t\t\tcurrent = true;\n\n\t\t\tif (!mounted) {\n\t\t\t\tdispose = [\n\t\t\t\t\tlisten(div, \"measure\", /*measure_handler_1*/ ctx[157]),\n\t\t\t\t\taction_destroyer(measurable.call(null, div))\n\t\t\t\t];\n\n\t\t\t\tmounted = true;\n\t\t\t}\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tconst dynamiccomponenttree_changes = {};\n\t\t\tif (dirty[0] & /*shapeControls*/ 2097152) dynamiccomponenttree_changes.items = /*shapeControls*/ ctx[21];\n\t\t\tif (dirty[0] & /*activeShapeId*/ 1024) dynamiccomponenttree_changes.key = /*activeShapeId*/ ctx[10];\n\t\t\tdynamiccomponenttree.$set(dynamiccomponenttree_changes);\n\n\t\t\tif (!current || dirty[0] & /*markupControlsStyle*/ 4194304) {\n\t\t\t\tattr(div, \"style\", /*markupControlsStyle*/ ctx[22]);\n\t\t\t}\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(dynamiccomponenttree.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(dynamiccomponenttree.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(div);\n\t\t\tdestroy_component(dynamiccomponenttree);\n\t\t\tmounted = false;\n\t\t\trun_all(dispose);\n\t\t}\n\t};\n}\n\nfunction create_fragment$g(ctx) {\n\tlet div;\n\tlet nav;\n\tlet ul;\n\tlet each_blocks = [];\n\tlet each_1_lookup = new Map();\n\tlet t0;\n\tlet t1;\n\tlet t2;\n\tlet interactable_action;\n\tlet current;\n\tlet mounted;\n\tlet dispose;\n\tlet each_value = /*shapeNavList*/ ctx[20];\n\tconst get_key = ctx => /*item*/ ctx[224].id;\n\n\tfor (let i = 0; i < each_value.length; i += 1) {\n\t\tlet child_ctx = get_each_context$3(ctx, each_value, i);\n\t\tlet key = get_key(child_ctx);\n\t\teach_1_lookup.set(key, each_blocks[i] = create_each_block$3(key, child_ctx));\n\t}\n\n\tlet if_block0 = /*shouldRenderShapeManipulator*/ ctx[15] && create_if_block_4$2(ctx);\n\tlet if_block1 = /*shouldRenderTextInput*/ ctx[11] && create_if_block_1$2(ctx);\n\tlet if_block2 = /*$markupControlsOpacity*/ ctx[17] > 0 && create_if_block$3(ctx);\n\n\treturn {\n\t\tc() {\n\t\t\tdiv = element(\"div\");\n\t\t\tnav = element(\"nav\");\n\t\t\tul = element(\"ul\");\n\n\t\t\tfor (let i = 0; i < each_blocks.length; i += 1) {\n\t\t\t\teach_blocks[i].c();\n\t\t\t}\n\n\t\t\tt0 = space();\n\t\t\tif (if_block0) if_block0.c();\n\t\t\tt1 = space();\n\t\t\tif (if_block1) if_block1.c();\n\t\t\tt2 = space();\n\t\t\tif (if_block2) if_block2.c();\n\t\t\tattr(nav, \"class\", \"PinturaShapeList\");\n\t\t\tattr(nav, \"data-visible\", /*showShapeList*/ ctx[18]);\n\t\t\tattr(div, \"class\", \"PinturaShapeEditor\");\n\t\t\tattr(div, \"tabindex\", \"0\");\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, div, anchor);\n\t\t\tappend(div, nav);\n\t\t\tappend(nav, ul);\n\n\t\t\tfor (let i = 0; i < each_blocks.length; i += 1) {\n\t\t\t\teach_blocks[i].m(ul, null);\n\t\t\t}\n\n\t\t\tappend(div, t0);\n\t\t\tif (if_block0) if_block0.m(div, null);\n\t\t\tappend(div, t1);\n\t\t\tif (if_block1) if_block1.m(div, null);\n\t\t\tappend(div, t2);\n\t\t\tif (if_block2) if_block2.m(div, null);\n\t\t\t/*div_binding*/ ctx[158](div);\n\t\t\tcurrent = true;\n\n\t\t\tif (!mounted) {\n\t\t\t\tdispose = [\n\t\t\t\t\tlisten(nav, \"focusin\", /*handleFocusIn*/ ctx[52]),\n\t\t\t\t\tlisten(nav, \"focusout\", /*handleFocusOut*/ ctx[53]),\n\t\t\t\t\tlisten(div, \"keydown\", function () {\n\t\t\t\t\t\tif (is_function(/*disabled*/ ctx[1] ? noop$1 : /*handleKey*/ ctx[42])) (/*disabled*/ ctx[1] ? noop$1 : /*handleKey*/ ctx[42]).apply(this, arguments);\n\t\t\t\t\t}),\n\t\t\t\t\tlisten(div, \"nudge\", function () {\n\t\t\t\t\t\tif (is_function(/*disabled*/ ctx[1] ? noop$1 : /*handleNudge*/ ctx[51])) (/*disabled*/ ctx[1] ? noop$1 : /*handleNudge*/ ctx[51]).apply(this, arguments);\n\t\t\t\t\t}),\n\t\t\t\t\tlisten(div, \"measure\", /*measure_handler*/ ctx[151]),\n\t\t\t\t\tlisten(div, \"pointermove\", function () {\n\t\t\t\t\t\tif (is_function(/*disabled*/ ctx[1]\n\t\t\t\t\t\t? noop$1\n\t\t\t\t\t\t: /*handlePointerMove*/ ctx[54])) (/*disabled*/ ctx[1]\n\t\t\t\t\t\t? noop$1\n\t\t\t\t\t\t: /*handlePointerMove*/ ctx[54]).apply(this, arguments);\n\t\t\t\t\t}),\n\t\t\t\t\tlisten(div, \"interactionstart\", function () {\n\t\t\t\t\t\tif (is_function(/*disabled*/ ctx[1]\n\t\t\t\t\t\t? noop$1\n\t\t\t\t\t\t: /*handleInteractionStart*/ ctx[31])) (/*disabled*/ ctx[1]\n\t\t\t\t\t\t? noop$1\n\t\t\t\t\t\t: /*handleInteractionStart*/ ctx[31]).apply(this, arguments);\n\t\t\t\t\t}),\n\t\t\t\t\tlisten(div, \"interactionupdate\", function () {\n\t\t\t\t\t\tif (is_function(/*disabled*/ ctx[1]\n\t\t\t\t\t\t? noop$1\n\t\t\t\t\t\t: /*handleInteractionUpdate*/ ctx[33])) (/*disabled*/ ctx[1]\n\t\t\t\t\t\t? noop$1\n\t\t\t\t\t\t: /*handleInteractionUpdate*/ ctx[33]).apply(this, arguments);\n\t\t\t\t\t}),\n\t\t\t\t\tlisten(div, \"interactioncancel\", function () {\n\t\t\t\t\t\tif (is_function(/*disabled*/ ctx[1]\n\t\t\t\t\t\t? noop$1\n\t\t\t\t\t\t: /*handleInteractionCancel*/ ctx[32])) (/*disabled*/ ctx[1]\n\t\t\t\t\t\t? noop$1\n\t\t\t\t\t\t: /*handleInteractionCancel*/ ctx[32]).apply(this, arguments);\n\t\t\t\t\t}),\n\t\t\t\t\tlisten(div, \"interactionrelease\", function () {\n\t\t\t\t\t\tif (is_function(/*disabled*/ ctx[1]\n\t\t\t\t\t\t? noop$1\n\t\t\t\t\t\t: /*handleInteractionRelease*/ ctx[34])) (/*disabled*/ ctx[1]\n\t\t\t\t\t\t? noop$1\n\t\t\t\t\t\t: /*handleInteractionRelease*/ ctx[34]).apply(this, arguments);\n\t\t\t\t\t}),\n\t\t\t\t\tlisten(div, \"interactionend\", function () {\n\t\t\t\t\t\tif (is_function(/*disabled*/ ctx[1]\n\t\t\t\t\t\t? noop$1\n\t\t\t\t\t\t: /*handleInteractionEnd*/ ctx[35])) (/*disabled*/ ctx[1]\n\t\t\t\t\t\t? noop$1\n\t\t\t\t\t\t: /*handleInteractionEnd*/ ctx[35]).apply(this, arguments);\n\t\t\t\t\t}),\n\t\t\t\t\taction_destroyer(measurable.call(null, div)),\n\t\t\t\t\taction_destroyer(nudgeable.call(null, div)),\n\t\t\t\t\taction_destroyer(interactable_action = interactable.call(null, div, {\n\t\t\t\t\t\tdrag: true,\n\t\t\t\t\t\tinertia: true,\n\t\t\t\t\t\tmultiTouch: false,\n\t\t\t\t\t\tshouldStartInteraction: interactable_function,\n\t\t\t\t\t\tgetEventPosition: /*interactable_function_1*/ ctx[159]\n\t\t\t\t\t}))\n\t\t\t\t];\n\n\t\t\t\tmounted = true;\n\t\t\t}\n\t\t},\n\t\tp(new_ctx, dirty) {\n\t\t\tctx = new_ctx;\n\n\t\t\tif (dirty[0] & /*shapeNavList, selectShape, markup*/ 1048705) {\n\t\t\t\teach_value = /*shapeNavList*/ ctx[20];\n\t\t\t\tgroup_outros();\n\t\t\t\teach_blocks = update_keyed_each(each_blocks, dirty, get_key, 1, ctx, each_value, each_1_lookup, ul, outro_and_destroy_block, create_each_block$3, null, get_each_context$3);\n\t\t\t\tcheck_outros();\n\t\t\t}\n\n\t\t\tif (!current || dirty[0] & /*showShapeList*/ 262144) {\n\t\t\t\tattr(nav, \"data-visible\", /*showShapeList*/ ctx[18]);\n\t\t\t}\n\n\t\t\tif (/*shouldRenderShapeManipulator*/ ctx[15]) {\n\t\t\t\tif (if_block0) {\n\t\t\t\t\tif_block0.p(ctx, dirty);\n\n\t\t\t\t\tif (dirty[0] & /*shouldRenderShapeManipulator*/ 32768) {\n\t\t\t\t\t\ttransition_in(if_block0, 1);\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tif_block0 = create_if_block_4$2(ctx);\n\t\t\t\t\tif_block0.c();\n\t\t\t\t\ttransition_in(if_block0, 1);\n\t\t\t\t\tif_block0.m(div, t1);\n\t\t\t\t}\n\t\t\t} else if (if_block0) {\n\t\t\t\tgroup_outros();\n\n\t\t\t\ttransition_out(if_block0, 1, 1, () => {\n\t\t\t\t\tif_block0 = null;\n\t\t\t\t});\n\n\t\t\t\tcheck_outros();\n\t\t\t}\n\n\t\t\tif (/*shouldRenderTextInput*/ ctx[11]) {\n\t\t\t\tif (if_block1) {\n\t\t\t\t\tif_block1.p(ctx, dirty);\n\n\t\t\t\t\tif (dirty[0] & /*shouldRenderTextInput*/ 2048) {\n\t\t\t\t\t\ttransition_in(if_block1, 1);\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tif_block1 = create_if_block_1$2(ctx);\n\t\t\t\t\tif_block1.c();\n\t\t\t\t\ttransition_in(if_block1, 1);\n\t\t\t\t\tif_block1.m(div, t2);\n\t\t\t\t}\n\t\t\t} else if (if_block1) {\n\t\t\t\tgroup_outros();\n\n\t\t\t\ttransition_out(if_block1, 1, 1, () => {\n\t\t\t\t\tif_block1 = null;\n\t\t\t\t});\n\n\t\t\t\tcheck_outros();\n\t\t\t}\n\n\t\t\tif (/*$markupControlsOpacity*/ ctx[17] > 0) {\n\t\t\t\tif (if_block2) {\n\t\t\t\t\tif_block2.p(ctx, dirty);\n\n\t\t\t\t\tif (dirty[0] & /*$markupControlsOpacity*/ 131072) {\n\t\t\t\t\t\ttransition_in(if_block2, 1);\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tif_block2 = create_if_block$3(ctx);\n\t\t\t\t\tif_block2.c();\n\t\t\t\t\ttransition_in(if_block2, 1);\n\t\t\t\t\tif_block2.m(div, null);\n\t\t\t\t}\n\t\t\t} else if (if_block2) {\n\t\t\t\tgroup_outros();\n\n\t\t\t\ttransition_out(if_block2, 1, 1, () => {\n\t\t\t\t\tif_block2 = null;\n\t\t\t\t});\n\n\t\t\t\tcheck_outros();\n\t\t\t}\n\n\t\t\tif (interactable_action && is_function(interactable_action.update) && dirty[0] & /*rootRect*/ 8) interactable_action.update.call(null, {\n\t\t\t\tdrag: true,\n\t\t\t\tinertia: true,\n\t\t\t\tmultiTouch: false,\n\t\t\t\tshouldStartInteraction: interactable_function,\n\t\t\t\tgetEventPosition: /*interactable_function_1*/ ctx[159]\n\t\t\t});\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\n\t\t\tfor (let i = 0; i < each_value.length; i += 1) {\n\t\t\t\ttransition_in(each_blocks[i]);\n\t\t\t}\n\n\t\t\ttransition_in(if_block0);\n\t\t\ttransition_in(if_block1);\n\t\t\ttransition_in(if_block2);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\tfor (let i = 0; i < each_blocks.length; i += 1) {\n\t\t\t\ttransition_out(each_blocks[i]);\n\t\t\t}\n\n\t\t\ttransition_out(if_block0);\n\t\t\ttransition_out(if_block1);\n\t\t\ttransition_out(if_block2);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(div);\n\n\t\t\tfor (let i = 0; i < each_blocks.length; i += 1) {\n\t\t\t\teach_blocks[i].d();\n\t\t\t}\n\n\t\t\tif (if_block0) if_block0.d();\n\t\t\tif (if_block1) if_block1.d();\n\t\t\tif (if_block2) if_block2.d();\n\t\t\t/*div_binding*/ ctx[158](null);\n\t\t\tmounted = false;\n\t\t\trun_all(dispose);\n\t\t}\n\t};\n}\n\nconst POLYGON_END_PATH_DISTANCE_SQUARED = 256;\nconst POLYGON_VERTEX_MIN_DISTANCE_SQUARED = 100;\nconst ROTATION_CONTROL_OFFSET = 20;\nconst MIN_TEXT_MARKUP_WIDTH = 10;\nconst markupHoverShapeId = 'markup-hover';\nconst shapeControlDist = 16;\nconst interactable_function = (e, element) => e.target === element;\n\nfunction instance$g($$self, $$props, $$invalidate) {\n\tlet activeMarkup;\n\tlet activeMarkupSelected;\n\tlet activeShapeIsDraft;\n\tlet activeShapeId;\n\tlet activeMarkupComputed;\n\tlet activeMarkupItemIsDraft;\n\tlet shapeActivePoints;\n\tlet allowResizeControls;\n\tlet allowRotateControls;\n\tlet allowEdgeControls;\n\tlet allowCornerControls;\n\tlet shouldRenderShapeManipulator;\n\tlet shapeActiveScreenPoints;\n\tlet shapeManipulatorPoints;\n\tlet shapeAllowNewline;\n\tlet shapeManipulatorRotationPoint;\n\tlet shapeManipulatorRotationPointPosition;\n\tlet currentPointerPosition;\n\tlet isTextMarkupSelected;\n\tlet shouldRenderTextInput;\n\tlet textShapeOrigin;\n\tlet textShapeDisplayOrigin;\n\tlet textSizeDisplayOrigin;\n\tlet textRectDisplayOrigin;\n\tlet textInputText;\n\tlet activeTextShapeComputed;\n\tlet textInputTextStyles;\n\tlet textInputPositionStyles;\n\tlet controlledMarkupItem;\n\tlet allowShapeFlip;\n\tlet allowShapeChangeTextLayout;\n\tlet allowShapeDuplicate;\n\tlet allowShapeRemove;\n\tlet allowShapeReorder;\n\tlet allowShapeInput;\n\tlet allowShapeAdjustOpacity;\n\tlet allowShapeStyleText;\n\tlet shouldShowMarkupControls;\n\tlet markupControlsAnchorPosition;\n\tlet shapeControlsPosition;\n\tlet markupControlsStyle;\n\tlet shapeControlsMode;\n\tlet shapeControls;\n\tlet shapeNavList;\n\tlet $markupControlsOpacity;\n\tlet $isAnimated;\n\tlet $keysPressedStored;\n\tlet { uid = getUniqueId() } = $$props;\n\tlet { ui } = $$props;\n\tlet { disabled = false } = $$props;\n\tlet { markup } = $$props;\n\tlet { offset } = $$props;\n\tlet { contextRotation = 0 } = $$props;\n\tlet { contextFlipX = false } = $$props;\n\tlet { contextFlipY = false } = $$props;\n\tlet { contextZoom = 1 } = $$props;\n\tlet { active = false } = $$props;\n\tlet { opacity = 1 } = $$props;\n\tlet { parentRect } = $$props;\n\tlet { rootRect } = $$props;\n\tlet { utilRect } = $$props;\n\tlet { hoverColor } = $$props;\n\tlet { textInputMode = 'inline' } = $$props;\n\tlet { oninteractionstart = noop$1 } = $$props;\n\tlet { oninteractionupdate = noop$1 } = $$props;\n\tlet { oninteractionrelease = noop$1 } = $$props;\n\tlet { oninteractionend = noop$1 } = $$props;\n\tlet { oninteractioncancel = noop$1 } = $$props;\n\tlet { onaddshape = noop$1 } = $$props;\n\tlet { onupdateshape = noop$1 } = $$props;\n\tlet { onselectshape = noop$1 } = $$props;\n\tlet { onremoveshape = noop$1 } = $$props;\n\tlet { ontapshape = noop$1 } = $$props;\n\tlet { onhovershape = noop$1 } = $$props;\n\tlet { onhovercanvas = noop$1 } = $$props;\n\tlet { ontapcanvas = noop$1 } = $$props;\n\tlet { beforeSelectShape = () => true } = $$props;\n\tlet { beforeDeselectShape = () => true } = $$props;\n\tlet { beforeRemoveShape = () => true } = $$props;\n\tlet { beforeUpdateShape = (shape, props) => props } = $$props;\n\tlet { willRenderShapeControls = passthrough } = $$props;\n\tlet { willRenderShapeTextControls = passthrough } = $$props;\n\tlet { willStartInteraction = (position, rect) => true } = $$props;\n\tlet { mapEditorPointToImagePoint } = $$props;\n\tlet { mapImagePointToEditorPoint } = $$props;\n\tlet { eraseRadius = undefined } = $$props;\n\tlet { selectRadius = undefined } = $$props;\n\tlet { enableButtonFlipVertical = false } = $$props;\n\tlet { enableTapToAddText = true } = $$props;\n\tlet { enableTextStyleControls = true } = $$props;\n\tlet { locale } = $$props;\n\tconst isAnimated = getContext('isAnimated');\n\tcomponent_subscribe($$self, isAnimated, value => $$invalidate(150, $isAnimated = value));\n\n\t//\n\t// Cache\n\t//\n\tconst updateShape = (shape, props, parentRect) => {\n\t\tlet propsToUpdate = beforeUpdateShape({ ...shape }, props, { ...parentRect });\n\t\tshapeUpdateProps(shape, propsToUpdate, parentRect);\n\t};\n\n\tconst snapRelativeToAnchor = (anchor, target) => {\n\t\tconst length = vectorDistance(anchor, target);\n\t\tconst angle = vectorAngleBetween(anchor, target);\n\t\tconst angleSnapInterval = Math.PI / 8;\n\t\tconst angleSnapped = angleSnapInterval * Math.round(angle / angleSnapInterval) - contextRotation % angleSnapInterval;\n\t\ttarget.x = anchor.x + length * Math.cos(angleSnapped);\n\t\ttarget.y = anchor.y + length * Math.sin(angleSnapped);\n\t};\n\n\t//#region polygon helpers\n\tconst circleOverlapsWithLine = (point, radius, from, to) => {\n\t\tconst ac = vectorCreate(point.x - from.x, point.y - from.y);\n\t\tconst ab = vectorCreate(to.x - from.x, to.y - from.y);\n\t\tconst ab2 = vectorDot(ab, ab);\n\t\tconst acab = vectorDot(ac, ab);\n\t\tlet t = acab / ab2;\n\t\tt = t < 0 ? 0 : t;\n\t\tt = t > 1 ? 1 : t;\n\t\tconst h = vectorCreate(ab.x * t + from.x - point.x, ab.y * t + from.y - point.y);\n\t\tconst h2 = vectorDot(h, h);\n\t\treturn h2 <= radius * radius;\n\t};\n\n\tconst circleOverlapsWithPath = (position, radius, points) => {\n\t\tconst l = points.length;\n\n\t\tfor (let i = 0; i < l - 1; i++) {\n\t\t\tif (circleOverlapsWithLine(position, radius, points[i], points[i + 1])) return true;\n\t\t}\n\n\t\treturn false;\n\t};\n\n\tconst circleOverlapsWithPolygon = (position, radius, points) => {\n\t\tif (pointInPoly$1(position, points)) return true;\n\t\tif (circleOverlapsWithPath(position, radius, points)) return true;\n\t\treturn circleOverlapsWithLine(position, radius, points[0], points[points.length - 1]);\n\t};\n\n\tconst circleOverlapsWithEllipse = (position, radius, ellipse, rotation, flipX, flipY) => {\n\t\tconst points = ellipseToPolygon(vectorCreate(ellipse.x, ellipse.y), ellipse.rx, ellipse.ry, rotation, flipX, flipY, 12);\n\t\treturn circleOverlapsWithPolygon(position, radius, points);\n\t};\n\n\tconst circleOverlapsWithRect = (position, radius, rect, rotation, pivot) => circleOverlapsWithPolygon(position, radius, rectRotate(rect, rotation, pivot || rectCenter(rect)));\n\n\tconst shapeToPoly = (computedShape, resolution = 12) => {\n\t\tif (shapeIsRect(computedShape)) {\n\t\t\treturn rectRotate(computedShape, computedShape.rotation, rectCenter(computedShape));\n\t\t} else if (shapeIsText(computedShape)) {\n\t\t\tconst computedRect = getMarkupShapeRect(computedShape);\n\t\t\treturn rectRotate(computedRect, computedShape.rotation, rectCenter(computedRect));\n\t\t} else if (shapeIsEllipse(computedShape)) {\n\t\t\treturn ellipseToPolygon(vectorCreate(computedShape.x, computedShape.y), computedShape.rx, computedShape.ry, computedShape.rotation, computedShape.flipX, computedShape.flipY, resolution);\n\t\t}\n\n\t\treturn [];\n\t};\n\n\t//#endregion\n\t//#region createShape eraseShape\n\tconst keysPressedStored = getContext('keysPressed');\n\n\tcomponent_subscribe($$self, keysPressedStored, value => $$invalidate(172, $keysPressedStored = value));\n\n\t// draw shape manipulator edges\n\tconst getShapeUpdateRotation = (rotation, flipX, flipY) => {\n\t\tif (rotation === 0) return rotation;\n\t\tif (flipX && flipY) return rotation;\n\t\tif (flipX) return -rotation;\n\t\tif (flipY) return -rotation;\n\t\treturn rotation;\n\t};\n\n\tconst createShape = (shapeDefault, options = {}) => {\n\t\t// state\n\t\tlet interactionOrigin;\n\n\t\tlet interactionRadius;\n\t\tlet interactionPosition;\n\t\tlet isEllipse = shapeIsEllipse(shapeDefault);\n\t\tlet isText = shapeIsText(shapeDefault);\n\t\tlet isRelative = options.position === 'relative';\n\t\tconst isSteppedInputMode = options.inputMode === 'step';\n\n\t\tif (shapeIsPath(shapeDefault)) {\n\t\t\t// stepped input mode\n\t\t\tif (isSteppedInputMode) {\n\t\t\t\tlet isFirstPoint = false;\n\n\t\t\t\tconst getPoint = (previousPoint, pointerPosition) => {\n\t\t\t\t\t// has started drawing? only handle end\n\t\t\t\t\tconst draft = getMarkupItemDraft();\n\n\t\t\t\t\t// if has previous point\n\t\t\t\t\tconst previousPointComputed = previousPoint && vectorCreate(fromPercentage(previousPoint.x, parentRect.width), fromPercentage(previousPoint.y, parentRect.height));\n\n\t\t\t\t\t// point in editor view\n\t\t\t\t\tconst previousPointInEditor = previousPointComputed && mapImagePointToEditorPoint(previousPointComputed);\n\n\t\t\t\t\t// if shift is held snap to last point\n\t\t\t\t\tif ($keysPressedStored.includes(16) && previousPointInEditor) snapRelativeToAnchor(previousPointInEditor, pointerPosition);\n\n\t\t\t\t\tconst currentPoint = mapEditorPointToImagePoint(pointerPosition);\n\n\t\t\t\t\t// get first point as absolute\n\t\t\t\t\tconst originPoint = draft.points.length ? draft.points[0] : currentPoint;\n\n\t\t\t\t\tconst originPointComputed = vectorCreate(fromPercentage(originPoint.x, parentRect.width), fromPercentage(originPoint.y, parentRect.height));\n\n\t\t\t\t\t// point in editor view\n\t\t\t\t\tconst originPointInEditor = mapImagePointToEditorPoint(originPointComputed);\n\n\t\t\t\t\t// distance between origin and new point\n\t\t\t\t\tconst distFromOriginSquared = vectorDistanceSquared(originPointInEditor, pointerPosition);\n\n\t\t\t\t\t// clicked second point at same location, discard draft\n\t\t\t\t\tif (!isFirstPoint && draft.points.length === 1 && distFromOriginSquared < 36) {\n\t\t\t\t\t\treturn discardMarkupItemDraft();\n\t\t\t\t\t}\n\n\t\t\t\t\t// minimum of three points to create a polygon\n\t\t\t\t\tif (draft.points.length > 2 && distFromOriginSquared <= POLYGON_END_PATH_DISTANCE_SQUARED) {\n\t\t\t\t\t\tdraft.pathClose = true;\n\n\t\t\t\t\t\t// select the draft\n\t\t\t\t\t\tselectShape(draft);\n\n\t\t\t\t\t\tconst shape = confirmMarkupItemDraft();\n\t\t\t\t\t\tonaddshape(shape);\n\t\t\t\t\t\treturn;\n\t\t\t\t\t}\n\n\t\t\t\t\t// clicked at same location as previous point, confirm as line\n\t\t\t\t\tconst hasVisibleStroke = draft.strokeWidth && draft.strokeColor && (draft.strokeColor[3] === undefined || draft.strokeColor[3] > 0);\n\n\t\t\t\t\tconst distFromPreviousSquared = vectorDistanceSquared(previousPointInEditor, pointerPosition);\n\n\t\t\t\t\tif (hasVisibleStroke && draft.points.length > 1 && distFromPreviousSquared < POLYGON_END_PATH_DISTANCE_SQUARED) {\n\t\t\t\t\t\t// open path\n\t\t\t\t\t\tdraft.pathClose = false;\n\n\t\t\t\t\t\tdraft.backgroundColor = [0, 0, 0, 0];\n\n\t\t\t\t\t\t// select the draft\n\t\t\t\t\t\tselectShape(draft);\n\n\t\t\t\t\t\tconst shape = confirmMarkupItemDraft();\n\t\t\t\t\t\tonaddshape(shape);\n\t\t\t\t\t\treturn;\n\t\t\t\t\t}\n\n\t\t\t\t\t// distance between previous and new point needs to be sufficient\n\t\t\t\t\tif (draft.points.length > 0) {\n\t\t\t\t\t\tif (distFromPreviousSquared < POLYGON_VERTEX_MIN_DISTANCE_SQUARED) return;\n\t\t\t\t\t}\n\n\t\t\t\t\t// return new point!\n\t\t\t\t\treturn isRelative\n\t\t\t\t\t? toPercentagePoint(currentPoint, parentRect)\n\t\t\t\t\t: currentPoint;\n\t\t\t\t};\n\n\t\t\t\treturn {\n\t\t\t\t\tstart: e => {\n\t\t\t\t\t\tconst { origin } = e.detail;\n\t\t\t\t\t\tinteractionRadius = 4;\n\t\t\t\t\t\tinteractionOrigin = vectorClone(origin);\n\t\t\t\t\t\tinteractionPosition = vectorClone(origin);\n\n\t\t\t\t\t\t// has started drawing? only handle end\n\t\t\t\t\t\tconst draft = getMarkupItemDraft();\n\n\t\t\t\t\t\tif (draft) {\n\t\t\t\t\t\t\t// add next point\n\t\t\t\t\t\t\tconst previousPoint = draft.points[draft.points.length - 1];\n\n\t\t\t\t\t\t\tconst computedPoint = getPoint(previousPoint, interactionOrigin);\n\t\t\t\t\t\t\tif (computedPoint) draft.points = [...draft.points, computedPoint];\n\t\t\t\t\t\t\treturn syncShapes();\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\t// first point\n\t\t\t\t\t\tisFirstPoint = true;\n\t\t\t\t\t},\n\t\t\t\t\tupdate: e => {\n\t\t\t\t\t\t// this only runs for first point so we can drag to start AND tap to start a path\n\t\t\t\t\t\tif (!isFirstPoint) return;\n\n\t\t\t\t\t\t// get draft ref\n\t\t\t\t\t\tconst draft = getMarkupItemDraft();\n\n\t\t\t\t\t\tif (!draft) return;\n\n\t\t\t\t\t\t// get next point\n\t\t\t\t\t\tconst previousPoint = draft.points[0];\n\n\t\t\t\t\t\tconst computedPoint = getPoint(previousPoint, vectorCreate(interactionOrigin.x + e.detail.translation.x, interactionOrigin.y + e.detail.translation.y));\n\t\t\t\t\t\tif (!computedPoint) return;\n\n\t\t\t\t\t\t// first point is pointerdown, keep overwriting next point\n\t\t\t\t\t\tdraft.points[1] = computedPoint;\n\n\t\t\t\t\t\t// update view\n\t\t\t\t\t\tsyncShapes();\n\t\t\t\t\t},\n\t\t\t\t\trelease: e => e.detail.preventInertia(),\n\t\t\t\t\tcancel: e => discardMarkupItemDraft(),\n\t\t\t\t\tend: e => {\n\t\t\t\t\t\tif (!isFirstPoint) return;\n\n\t\t\t\t\t\t// hasn't started drawing yet, let's add origin\n\t\t\t\t\t\tconst originPoint = mapEditorPointToImagePoint(interactionOrigin);\n\n\t\t\t\t\t\tconst computedPoint = isRelative\n\t\t\t\t\t\t? toPercentagePoint(originPoint, parentRect)\n\t\t\t\t\t\t: originPoint;\n\n\t\t\t\t\t\t// if is tap\n\t\t\t\t\t\tconst { isTap } = e.detail;\n\n\t\t\t\t\t\tif (isTap) {\n\t\t\t\t\t\t\t// if any shape below pointer select the shape and discard the path\n\t\t\t\t\t\t\tconst foundShapes = getShapesNearPosition(originPoint, 0, shapeCanSelect);\n\n\t\t\t\t\t\t\tif (foundShapes.length) return discardMarkupItemDraft();\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\t// add to markup so it's drawn\n\t\t\t\t\t\taddMarkupItemDraft({ ...shapeDefault, points: [computedPoint] });\n\t\t\t\t\t}\n\t\t\t\t};\n\t\t\t}\n\n\t\t\t// drag input mode\n\t\t\treturn {\n\t\t\t\tstart: e => {\n\t\t\t\t\tconst { origin } = e.detail;\n\t\t\t\t\tinteractionRadius = 4;\n\t\t\t\t\tinteractionOrigin = vectorClone(origin);\n\t\t\t\t\tinteractionPosition = vectorClone(origin);\n\t\t\t\t\tconst originPoint = mapEditorPointToImagePoint(origin);\n\n\t\t\t\t\tconst computedPoint = isRelative\n\t\t\t\t\t? toPercentagePoint(originPoint, parentRect)\n\t\t\t\t\t: originPoint;\n\n\t\t\t\t\t// add to markup so it's drawn\n\t\t\t\t\taddMarkupItemDraft({ ...shapeDefault, points: [computedPoint] });\n\t\t\t\t},\n\t\t\t\tupdate: e => {\n\t\t\t\t\tconst draft = getMarkupItemDraft();\n\t\t\t\t\tconst { translation } = e.detail;\n\n\t\t\t\t\t// position\n\t\t\t\t\tconst pointerPosition = vectorCreate(interactionOrigin.x + translation.x, interactionOrigin.y + translation.y);\n\n\t\t\t\t\t// distance between interaction and pointer if it's too close, we don't draw this point\n\t\t\t\t\tconst dist = vectorDistance(interactionPosition, pointerPosition);\n\n\t\t\t\t\tif (fixPrecision(dist, 5) <= interactionRadius) return;\n\n\t\t\t\t\t// get angle between interaction and pointer\n\t\t\t\t\tconst angle = vectorAngleBetween(pointerPosition, interactionPosition);\n\n\t\t\t\t\t// move brush towards pointer at angle\n\t\t\t\t\tconst moveDist = interactionRadius - dist;\n\n\t\t\t\t\tinteractionPosition.x += moveDist * Math.cos(angle);\n\t\t\t\t\tinteractionPosition.y += moveDist * Math.sin(angle);\n\n\t\t\t\t\t// create point\n\t\t\t\t\tconst point = mapEditorPointToImagePoint(interactionPosition);\n\n\t\t\t\t\tconst computedPoint = isRelative\n\t\t\t\t\t? toPercentagePoint(point, parentRect)\n\t\t\t\t\t: point;\n\n\t\t\t\t\tdraft.points = draft.points.concat(computedPoint);\n\t\t\t\t\tsyncShapes();\n\t\t\t\t},\n\t\t\t\trelease: e => e.detail.preventInertia(),\n\t\t\t\tcancel: () => {\n\t\t\t\t\tdiscardMarkupItemDraft();\n\t\t\t\t},\n\t\t\t\tend: e => {\n\t\t\t\t\tif (e.detail.isTap) return discardMarkupItemDraft();\n\t\t\t\t\tconst shape = confirmMarkupItemDraft();\n\t\t\t\t\tonaddshape(shape);\n\t\t\t\t}\n\t\t\t};\n\t\t} else if (isEllipse || isText || shapeIsRect(shapeDefault)) {\n\t\t\treturn {\n\t\t\t\tstart: e => {\n\t\t\t\t\tconst { origin } = e.detail;\n\n\t\t\t\t\t// need to remember origin so we can correctly apply interaction translation\n\t\t\t\t\tinteractionOrigin = vectorClone(origin);\n\n\t\t\t\t\tconst mappedOriginPosition = mapEditorPointToImagePoint(interactionOrigin);\n\n\t\t\t\t\tconst computedOriginPosition = isRelative\n\t\t\t\t\t? toPercentagePoint(mappedOriginPosition, parentRect)\n\t\t\t\t\t: mappedOriginPosition;\n\n\t\t\t\t\tconst rotation = -1 * getShapeUpdateRotation(contextRotation, contextFlipX, contextFlipY);\n\n\t\t\t\t\t// add to markup so it's drawn\n\t\t\t\t\tconst draft = {\n\t\t\t\t\t\t...shapeDefault,\n\t\t\t\t\t\trotation,\n\t\t\t\t\t\t...computedOriginPosition\n\t\t\t\t\t};\n\n\t\t\t\t\t// de-flip shape\n\t\t\t\t\tdraft.flipX = contextFlipX;\n\n\t\t\t\t\tdraft.flipY = contextFlipY;\n\n\t\t\t\t\t// remove position\n\t\t\t\t\tdelete draft.position;\n\n\t\t\t\t\t// hide initially\n\t\t\t\t\tdraft.opacity = 0;\n\n\t\t\t\t\t// set base position props\n\t\t\t\t\tconst initProps = isEllipse ? ['rx', 'ry'] : ['width', 'height'];\n\n\t\t\t\t\tinitProps.forEach(prop => {\n\t\t\t\t\t\t// skip existing props\n\t\t\t\t\t\t// if (hasProp(draft, prop)) return;\n\t\t\t\t\t\t// set base props\n\t\t\t\t\t\tdraft[prop] = isRelative ? '0%' : 0;\n\t\t\t\t\t});\n\n\t\t\t\t\taddMarkupItemDraft(draft);\n\t\t\t\t},\n\t\t\t\tupdate: e => {\n\t\t\t\t\tconst draft = getMarkupItemDraft();\n\t\t\t\t\tdraft.opacity = 1;\n\t\t\t\t\tconst { aspectRatio } = draft;\n\t\t\t\t\tlet { translation } = e.detail;\n\n\t\t\t\t\t// limit to aspect ratio\n\t\t\t\t\tif (aspectRatio) {\n\t\t\t\t\t\tconst t = Math.abs(translation.x) * aspectRatio;\n\t\t\t\t\t\ttranslation.x = translation.x;\n\t\t\t\t\t\ttranslation.y = t * Math.sign(translation.y);\n\t\t\t\t\t}\n\n\t\t\t\t\t// position\n\t\t\t\t\tconst pointerPosition = vectorCreate(interactionOrigin.x + translation.x, interactionOrigin.y + translation.y);\n\n\t\t\t\t\tconst mappedOriginPosition = mapEditorPointToImagePoint(interactionOrigin);\n\t\t\t\t\tconst mappedPointerPosition = mapEditorPointToImagePoint(pointerPosition);\n\n\t\t\t\t\tconst pivot = {\n\t\t\t\t\t\tx: mappedOriginPosition.x + (mappedPointerPosition.x - mappedOriginPosition.x) * 0.5,\n\t\t\t\t\t\ty: mappedOriginPosition.y + (mappedPointerPosition.y - mappedOriginPosition.y) * 0.5\n\t\t\t\t\t};\n\n\t\t\t\t\tconst rotation = getShapeUpdateRotation(contextRotation, contextFlipX, contextFlipY);\n\t\t\t\t\tvectorRotate(mappedOriginPosition, rotation, pivot);\n\t\t\t\t\tvectorRotate(mappedPointerPosition, rotation, pivot);\n\t\t\t\t\tconst l = Math.min(mappedOriginPosition.x, mappedPointerPosition.x);\n\t\t\t\t\tconst t = Math.min(mappedOriginPosition.y, mappedPointerPosition.y);\n\t\t\t\t\tconst r = Math.max(mappedOriginPosition.x, mappedPointerPosition.x);\n\t\t\t\t\tconst b = Math.max(mappedOriginPosition.y, mappedPointerPosition.y);\n\t\t\t\t\tlet width = r - l;\n\t\t\t\t\tlet height = b - t;\n\t\t\t\t\tlet props = {};\n\n\t\t\t\t\tif (isEllipse) {\n\t\t\t\t\t\tprops.x = l + width * 0.5;\n\t\t\t\t\t\tprops.y = t + height * 0.5;\n\t\t\t\t\t\tprops.rx = width * 0.5;\n\t\t\t\t\t\tprops.ry = height * 0.5;\n\t\t\t\t\t} else {\n\t\t\t\t\t\tprops.x = l;\n\t\t\t\t\t\tprops.y = t;\n\t\t\t\t\t\tprops.width = width;\n\t\t\t\t\t\tprops.height = height;\n\t\t\t\t\t}\n\n\t\t\t\t\tupdateShape(draft, props, parentRect);\n\t\t\t\t\tsyncShapes();\n\t\t\t\t},\n\t\t\t\trelease: e => {\n\t\t\t\t\te.detail.preventInertia();\n\t\t\t\t},\n\t\t\t\tcancel: e => {\n\t\t\t\t\tdiscardMarkupItemDraft();\n\t\t\t\t},\n\t\t\t\tend: e => {\n\t\t\t\t\tconst draft = getMarkupItemDraft();\n\n\t\t\t\t\tif (e.detail.isTap) {\n\t\t\t\t\t\t// will cancel if is not text shape\n\t\t\t\t\t\tif (!shapeIsText(draft) || !enableTapToAddText || interactionTarget) return discardMarkupItemDraft();\n\n\t\t\t\t\t\t// will add 'auto' text shape if not targetting other shape\n\t\t\t\t\t\tdelete draft.width;\n\n\t\t\t\t\t\tdelete draft.height;\n\t\t\t\t\t\tif (draft.disableNewline !== false) delete draft.textAlign;\n\n\t\t\t\t\t\t// position the shape correctly\n\t\t\t\t\t\tconst draftComputedShape = shapeComputeDisplay({ ...draft }, parentRect);\n\n\t\t\t\t\t\tconst size = textToSize(draft.text, draftComputedShape);\n\n\t\t\t\t\t\tconst mappedOriginPosition = mapEditorPointToImagePoint({\n\t\t\t\t\t\t\tx: interactionOrigin.x,\n\t\t\t\t\t\t\ty: interactionOrigin.y - size.height * 0.5\n\t\t\t\t\t\t});\n\n\t\t\t\t\t\tconst mappedPointerPosition = mapEditorPointToImagePoint({\n\t\t\t\t\t\t\tx: interactionOrigin.x + size.width,\n\t\t\t\t\t\t\ty: interactionOrigin.y + size.height * 0.5\n\t\t\t\t\t\t});\n\n\t\t\t\t\t\tconst pivot = {\n\t\t\t\t\t\t\tx: mappedOriginPosition.x + (mappedPointerPosition.x - mappedOriginPosition.x) * 0.5,\n\t\t\t\t\t\t\ty: mappedOriginPosition.y + (mappedPointerPosition.y - mappedOriginPosition.y) * 0.5\n\t\t\t\t\t\t};\n\n\t\t\t\t\t\tconst rotation = getShapeUpdateRotation(contextRotation, contextFlipX, contextFlipY);\n\t\t\t\t\t\tvectorRotate(mappedOriginPosition, rotation, pivot);\n\t\t\t\t\t\tvectorRotate(mappedPointerPosition, rotation, pivot);\n\t\t\t\t\t\tlet l = Math.min(mappedOriginPosition.x, mappedPointerPosition.x);\n\t\t\t\t\t\tlet t = Math.min(mappedOriginPosition.y, mappedPointerPosition.y);\n\t\t\t\t\t\tif (l < 0) l = 0;\n\t\t\t\t\t\tif (t < 0) t = 0;\n\t\t\t\t\t\tif (l + size.width > parentRect.width) l = parentRect.width - size.width;\n\t\t\t\t\t\tif (t + size.height > parentRect.height) t = parentRect.height - size.height;\n\n\t\t\t\t\t\tdraft.x = isString(draft.x)\n\t\t\t\t\t\t? toPercentage(l, parentRect.width)\n\t\t\t\t\t\t: l;\n\n\t\t\t\t\t\tdraft.y = isString(draft.y)\n\t\t\t\t\t\t? toPercentage(t, parentRect.height)\n\t\t\t\t\t\t: t;\n\t\t\t\t\t}\n\n\t\t\t\t\t// reveal\n\t\t\t\t\tdraft.opacity = 1;\n\n\t\t\t\t\t// finish markup\n\t\t\t\t\tif (!shapeIsText(draft)) {\n\t\t\t\t\t\tconst shape = confirmMarkupItemDraft();\n\t\t\t\t\t\tonaddshape(shape);\n\t\t\t\t\t}\n\n\t\t\t\t\t// select the draft\n\t\t\t\t\tselectShape(draft);\n\n\t\t\t\t\t// also enable editing the text\n\t\t\t\t\tif (shapeIsText(draft)) editMarkupItem(draft);\n\t\t\t\t}\n\t\t\t};\n\t\t} else if (shapeIsLine(shapeDefault)) {\n\t\t\treturn {\n\t\t\t\tstart: e => {\n\t\t\t\t\tconst { origin } = e.detail;\n\t\t\t\t\tconst originMapped = mapEditorPointToImagePoint(origin);\n\t\t\t\t\tconst originSnapped = vectorApply(originMapped, snapToPixel);\n\t\t\t\t\tinteractionOrigin = vectorClone(origin);\n\n\t\t\t\t\t// add to markup so it's drawn\n\t\t\t\t\taddMarkupItemDraft({\n\t\t\t\t\t\t...shapeDefault,\n\t\t\t\t\t\tx1: isRelative\n\t\t\t\t\t\t? toPercentage(originSnapped.x, parentRect.width)\n\t\t\t\t\t\t: originSnapped.x,\n\t\t\t\t\t\ty1: isRelative\n\t\t\t\t\t\t? toPercentage(originSnapped.y, parentRect.height)\n\t\t\t\t\t\t: originSnapped.y,\n\t\t\t\t\t\tx2: isRelative\n\t\t\t\t\t\t? toPercentage(originSnapped.x, parentRect.width)\n\t\t\t\t\t\t: originSnapped.x,\n\t\t\t\t\t\ty2: isRelative\n\t\t\t\t\t\t? toPercentage(originSnapped.y, parentRect.height)\n\t\t\t\t\t\t: originSnapped.y,\n\t\t\t\t\t\topacity: 0\n\t\t\t\t\t});\n\t\t\t\t},\n\t\t\t\tupdate: e => {\n\t\t\t\t\tconst draft = getMarkupItemDraft();\n\t\t\t\t\tconst { translation } = e.detail;\n\t\t\t\t\tconst interactionTarget = vectorAdd(vectorClone(interactionOrigin), translation);\n\n\t\t\t\t\t// shift pressed\n\t\t\t\t\tif ($keysPressedStored.includes(16)) {\n\t\t\t\t\t\tconst length = vectorDistance(interactionOrigin, interactionTarget);\n\t\t\t\t\t\tconst angle = vectorAngleBetween(interactionOrigin, interactionTarget);\n\t\t\t\t\t\tconst angleSnapInterval = Math.PI / 4;\n\t\t\t\t\t\tconst angleSnapped = angleSnapInterval * Math.round(angle / angleSnapInterval);\n\t\t\t\t\t\tinteractionTarget.x = interactionOrigin.x + length * Math.cos(angleSnapped);\n\t\t\t\t\t\tinteractionTarget.y = interactionOrigin.y + length * Math.sin(angleSnapped);\n\t\t\t\t\t}\n\n\t\t\t\t\t// update line end position\n\t\t\t\t\tconst point = mapEditorPointToImagePoint(interactionTarget);\n\n\t\t\t\t\tupdateMarkupShape(draft, {\n\t\t\t\t\t\tx2: isRelative\n\t\t\t\t\t\t? toPercentage(point.x, parentRect.width)\n\t\t\t\t\t\t: point.x,\n\t\t\t\t\t\ty2: isRelative\n\t\t\t\t\t\t? toPercentage(point.y, parentRect.height)\n\t\t\t\t\t\t: point.y,\n\t\t\t\t\t\topacity: 1\n\t\t\t\t\t});\n\n\t\t\t\t\tsyncShapes();\n\t\t\t\t},\n\t\t\t\trelease: e => e.detail.preventInertia(),\n\t\t\t\tcancel: e => {\n\t\t\t\t\tdiscardMarkupItemDraft();\n\t\t\t\t},\n\t\t\t\tend: e => {\n\t\t\t\t\tconst draft = getMarkupItemDraft();\n\t\t\t\t\tif (e.detail.isTap) return discardMarkupItemDraft();\n\t\t\t\t\tdraft.opacity = 1;\n\n\t\t\t\t\t// finish markup\n\t\t\t\t\tconst shape = confirmMarkupItemDraft();\n\n\t\t\t\t\tonaddshape(shape);\n\n\t\t\t\t\t// select the draft\n\t\t\t\t\tselectShape(shape);\n\t\t\t\t}\n\t\t\t};\n\t\t}\n\t};\n\n\tconst eraseShape = () => {\n\t\tlet origin;\n\t\tlet positionPrevious;\n\t\tconst eraseRadiusSquared = eraseRadius * eraseRadius;\n\n\t\tconst erase = (positionA, positionB, forceErase = false) => {\n\t\t\tconst d2 = vectorDistanceSquared(positionA, positionB);\n\n\t\t\t// skip, too close to previous point\n\t\t\tif (!forceErase && d2 < 2) return false;\n\n\t\t\tconst shapesThatCanBeErased = markup.filter(shape => !shape.disableErase);\n\n\t\t\t// if line is shorter than radius do simple erase operation, find all points within range from current position\n\t\t\tlet shapesFound;\n\n\t\t\tif (d2 < eraseRadiusSquared) {\n\t\t\t\tshapesFound = getShapesNearPosition(mapEditorPointToImagePoint(positionB), eraseRadius);\n\t\t\t} else {\n\t\t\t\tshapesFound = getShapesBetweenPoints(shapesThatCanBeErased, mapEditorPointToImagePoint(positionA), mapEditorPointToImagePoint(positionB), eraseRadius);\n\t\t\t}\n\n\t\t\tconst shapesRemoved = removeMarkupItems(shapesFound);\n\t\t\tshapesRemoved.forEach(onremoveshape);\n\t\t\treturn true;\n\t\t};\n\n\t\treturn {\n\t\t\tstart: e => {\n\t\t\t\torigin = vectorCreate(Math.round(e.detail.origin.x), Math.round(e.detail.origin.y));\n\t\t\t\terase(origin, origin, true);\n\t\t\t\tpositionPrevious = origin;\n\t\t\t},\n\t\t\tupdate: e => {\n\t\t\t\tconst { translation } = e.detail;\n\t\t\t\tconst positionCurrent = vectorCreate(Math.round(origin.x + translation.x), Math.round(origin.y + translation.y));\n\n\t\t\t\tif (erase(positionPrevious, positionCurrent)) {\n\t\t\t\t\tpositionPrevious = vectorClone(positionCurrent);\n\t\t\t\t}\n\t\t\t},\n\t\t\trelease: e => e.detail.preventInertia(),\n\t\t\tend: () => {\n\t\t\t\t\n\t\t\t}\n\t\t};\n\t};\n\n\t//#endregion\n\t//\n\t// Mapping coordinates\n\t//\n\tconst getImagePointWithScreenTranslation = (point, translation) => {\n\t\tconst pointInScreenSpace = mapImagePointToEditorPoint(point);\n\t\treturn mapEditorPointToImagePoint(vectorAdd(pointInScreenSpace, translation));\n\t};\n\n\t//\n\t// Interaction\n\t//\n\t//#region translateShape rotateShape resizeShape\n\tconst translateShape = (shapeCurrent, shapeOriginComputed, translation) => {\n\t\tif (shapeIsLine(shapeCurrent)) {\n\t\t\tconst beginImageOffset = getImagePointWithScreenTranslation(shapeLineGetStartPoint(shapeOriginComputed), translation);\n\t\t\tconst endImageOffset = getImagePointWithScreenTranslation(shapeLineGetEndPoint(shapeOriginComputed), translation);\n\n\t\t\tupdateShape(\n\t\t\t\tshapeCurrent,\n\t\t\t\t{\n\t\t\t\t\tx1: beginImageOffset.x,\n\t\t\t\t\ty1: beginImageOffset.y,\n\t\t\t\t\tx2: endImageOffset.x,\n\t\t\t\t\ty2: endImageOffset.y\n\t\t\t\t},\n\t\t\t\tparentRect\n\t\t\t);\n\t\t} else if (shapeCurrent.points) {\n\t\t\tupdateShape(\n\t\t\t\tshapeCurrent,\n\t\t\t\t{\n\t\t\t\t\tpoints: shapeOriginComputed.points.map(point => {\n\t\t\t\t\t\treturn getImagePointWithScreenTranslation(point, translation);\n\t\t\t\t\t})\n\t\t\t\t},\n\t\t\t\tparentRect\n\t\t\t);\n\t\t} else if (shapeIsRect(shapeCurrent) || shapeIsText(shapeCurrent) || shapeIsEllipse(shapeCurrent)) {\n\t\t\tconst imagePoint = getImagePointWithScreenTranslation(shapeOriginComputed, translation);\n\t\t\tupdateShape(shapeCurrent, imagePoint, parentRect);\n\t\t}\n\n\t\tsyncShapes();\n\t};\n\n\tconst IndexFlipXMap = { 0: 1, 1: 0, 2: 3, 3: 2 };\n\tconst IndexFlipYMap = { 0: 3, 1: 2, 2: 1, 3: 0 };\n\n\tconst resizeShape = (shapeCurrent, shapeOriginComputed, indexes, translation, options) => {\n\t\t// is a line of points\n\t\tif (shapeIsLine(shapeCurrent) || shapeIsPath(shapeCurrent) && hasProp(shapeCurrent, 'pathClose')) {\n\t\t\tconst [targetIndex] = indexes;\n\n\t\t\tconst snap = $keysPressedStored.includes(16)\n\t\t\t? snapRelativeToAnchor\n\t\t\t: (_, target) => target;\n\n\t\t\tlet getPoint;\n\t\t\tlet snapPoint;\n\t\t\tlet setPoint;\n\n\t\t\tif (shapeIsLine(shapeCurrent)) {\n\t\t\t\t// start\n\t\t\t\tif (targetIndex === 0) {\n\t\t\t\t\tgetPoint = () => shapeLineGetStartPoint(shapeOriginComputed);\n\n\t\t\t\t\t// snap angle relative to opposite point\n\t\t\t\t\tsnapPoint = point => snap(shapeLineGetEndPoint(shapeOriginComputed), point);\n\n\t\t\t\t\tsetPoint = (shape, point) => {\n\t\t\t\t\t\tshape.x1 = point.x;\n\t\t\t\t\t\tshape.y1 = point.y;\n\t\t\t\t\t};\n\t\t\t\t} else // end\n\t\t\t\tif (targetIndex === 1) {\n\t\t\t\t\tgetPoint = () => shapeLineGetEndPoint(shapeOriginComputed);\n\n\t\t\t\t\t// snap angle relative to opposite point\n\t\t\t\t\tsnapPoint = point => snap(shapeLineGetStartPoint(shapeOriginComputed), point);\n\n\t\t\t\t\tsetPoint = (shape, point) => {\n\t\t\t\t\t\tshape.x2 = point.x;\n\t\t\t\t\t\tshape.y2 = point.y;\n\t\t\t\t\t};\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\tconst computedPoints = shapeOriginComputed.points;\n\t\t\t\tgetPoint = () => computedPoints[targetIndex];\n\n\t\t\t\tsnapPoint = point => {\n\t\t\t\t\tconst pointBefore = computedPoints[arrayIndexWrap(targetIndex - 1, computedPoints)];\n\t\t\t\t\tconst pointAfter = computedPoints[arrayIndexWrap(targetIndex + 1, computedPoints)];\n\t\t\t\t\tsnap(pointBefore, point);\n\t\t\t\t\tsnap(pointAfter, point);\n\t\t\t\t};\n\n\t\t\t\tsetPoint = (shape, point) => shape.points[targetIndex] = point;\n\t\t\t}\n\n\t\t\tconst point = getImagePointWithScreenTranslation(getPoint(), translation);\n\t\t\tsnapPoint(point);\n\t\t\tsetPoint(shapeCurrent, point);\n\t\t} else // is a box\n\t\tif (shapeHasSize(shapeCurrent) || shapeIsEllipse(shapeCurrent) || shapeIsTextBox(shapeCurrent)) {\n\t\t\tlet hasAutoHeight = false;\n\t\t\tlet shapeOriginRect;\n\n\t\t\tif (shapeIsEllipse(shapeCurrent)) {\n\t\t\t\tshapeOriginRect = rectCreateFromEllipse(shapeOriginComputed);\n\t\t\t} else if (shapeHasSize(shapeCurrent)) {\n\t\t\t\tshapeOriginRect = rectCreateFromAny(shapeOriginComputed);\n\t\t\t} else {\n\t\t\t\t// is text with 'width' only\n\t\t\t\thasAutoHeight = true;\n\n\t\t\t\tshapeOriginRect = rectCreateFromAny(shapeOriginComputed);\n\t\t\t\tconst size = textToSize(shapeOriginComputed.text, shapeOriginComputed);\n\t\t\t\tshapeOriginRect.height = size.height;\n\t\t\t}\n\n\t\t\tlet shapeAspectRatio;\n\n\t\t\tif (shapeCurrent.aspectRatio) {\n\t\t\t\tshapeAspectRatio = shapeCurrent.aspectRatio;\n\t\t\t} else if (options.shiftKey && !hasAutoHeight) {\n\t\t\t\tshapeAspectRatio = shapeOriginRect.width / shapeOriginRect.height;\n\t\t\t}\n\n\t\t\t// current shape\n\t\t\tconst rectAligned = rectCreateFromAny(shapeOriginRect);\n\n\t\t\tconst rectAlignedCenterPosition = rectCenter(rectAligned);\n\t\t\tconst rectRotation = shapeCurrent.rotation;\n\t\t\tconst rectAlignedCorners = rectGetCorners(rectAligned);\n\t\t\tconst rectCorners = rectRotate(rectAligned, rectRotation);\n\n\t\t\t// is translating one corner\n\t\t\tif (indexes.length === 1) {\n\t\t\t\t// corner\n\t\t\t\tlet cornerIndex = indexes[0];\n\n\t\t\t\tif (shapeCurrent.flipX) cornerIndex = IndexFlipXMap[cornerIndex];\n\t\t\t\tif (shapeCurrent.flipY) cornerIndex = IndexFlipYMap[cornerIndex];\n\t\t\t\tconst [tl, tr, br, bl] = rectAlignedCorners;\n\t\t\t\tconst screenTargetPosition = mapImagePointToEditorPoint(rectCorners[cornerIndex]);\n\t\t\t\tvectorAdd(screenTargetPosition, translation);\n\t\t\t\tconst imageTargetPosition = mapEditorPointToImagePoint(screenTargetPosition);\n\t\t\t\tconst imageTargetTranslation = vectorCreate(imageTargetPosition.x - rectCorners[cornerIndex].x, imageTargetPosition.y - rectCorners[cornerIndex].y);\n\t\t\t\tconst imageTargetTranslationAligned = vectorRotate(vectorClone(imageTargetTranslation), -rectRotation);\n\t\t\t\tconst imageTargetPositionAligned = vectorCreate(rectAlignedCorners[cornerIndex].x + imageTargetTranslationAligned.x, rectAlignedCorners[cornerIndex].y + imageTargetTranslationAligned.y);\n\t\t\t\tlet anchor;\n\t\t\t\tif (cornerIndex === 0) anchor = br;\n\t\t\t\tif (cornerIndex === 1) anchor = bl;\n\t\t\t\tif (cornerIndex === 2) anchor = tl;\n\t\t\t\tif (cornerIndex === 3) anchor = tr;\n\n\t\t\t\t// create an aligned and updated rectangle\n\t\t\t\tconst rectAlignedResized = rectCreateFromPoints([anchor, imageTargetPositionAligned]);\n\n\t\t\t\t// limit rect\n\t\t\t\tif (shapeAspectRatio) {\n\t\t\t\t\t// get size that adheres to aspect ratio but still fits current rectangle\n\t\t\t\t\tconst { width, height } = rectContainRect(rectAlignedResized, shapeAspectRatio);\n\n\t\t\t\t\tconst [t, r, b, l] = rectToBounds(rectAlignedResized);\n\n\t\t\t\t\t// update size\n\t\t\t\t\trectAlignedResized.width = width;\n\n\t\t\t\t\trectAlignedResized.height = height;\n\n\t\t\t\t\t// align to anchor\n\t\t\t\t\tif (imageTargetPositionAligned.y < anchor.y) {\n\t\t\t\t\t\trectAlignedResized.y = b - height;\n\t\t\t\t\t}\n\n\t\t\t\t\tif (imageTargetPositionAligned.x < anchor.x) {\n\t\t\t\t\t\trectAlignedResized.x = r - width;\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\t// rotate the aligned rectangle around it's original pivot point\n\t\t\t\tconst rr = rectRotate(rectAlignedResized, rectRotation, rectAlignedCenterPosition);\n\n\t\t\t\t// now calculate the new center and then rotate the tl and br corners around that center to find their new positions\n\t\t\t\tconst rrc = vectorCenter(rr);\n\n\t\t\t\tconst p1 = vectorRotate(rr[0], -rectRotation, rrc);\n\t\t\t\tconst p2 = vectorRotate(rr[2], -rectRotation, rrc);\n\t\t\t\tconst rectUpdated = rectCreateFromPoints([p1, p2]);\n\n\t\t\t\tupdateShape(\n\t\t\t\t\tshapeCurrent,\n\t\t\t\t\tshapeIsEllipse(shapeCurrent)\n\t\t\t\t\t? ellipseCreateFromRect(rectUpdated)\n\t\t\t\t\t: rectUpdated,\n\t\t\t\t\tparentRect\n\t\t\t\t);\n\t\t\t} else // is translating two corner points\n\t\t\t{\n\t\t\t\t// 0-1 -> 2-3\n\t\t\t\t// 1-2 -> 3-0\n\t\t\t\t// 2-3 -> 0-1\n\t\t\t\t// 3-0 -> 1-2\n\t\t\t\tindexes = indexes.map(index => {\n\t\t\t\t\tif (shapeCurrent.flipX) index = IndexFlipXMap[index];\n\t\t\t\t\tif (shapeCurrent.flipY) index = IndexFlipYMap[index];\n\t\t\t\t\treturn index;\n\t\t\t\t});\n\n\t\t\t\tconst [cornerA, cornerB] = indexes.map(index => rectCorners[index]);\n\n\t\t\t\tconst mid = {\n\t\t\t\t\tx: cornerA.x + (cornerB.x - cornerA.x) * 0.5,\n\t\t\t\t\ty: cornerA.y + (cornerB.y - cornerA.y) * 0.5\n\t\t\t\t};\n\n\t\t\t\tconst [cornerAlignedA, cornerAlignedB] = indexes.map(index => rectAlignedCorners[index]);\n\n\t\t\t\tconst [cornerAlignedC, cornerAlignedD] = indexes.map(index => {\n\t\t\t\t\tconst mappedIndex = index + 2;\n\t\t\t\t\tif (mappedIndex < 4) return rectAlignedCorners[mappedIndex];\n\t\t\t\t\treturn rectAlignedCorners[mappedIndex - 4];\n\t\t\t\t});\n\n\t\t\t\t// const midAligned = {\n\t\t\t\t//     x: cornerAlignedA.x + (cornerAlignedB.x - cornerAlignedA.x) * .5,\n\t\t\t\t//     y: cornerAlignedA.y + (cornerAlignedB.y - cornerAlignedA.y) * .5\n\t\t\t\t// };\n\t\t\t\tconst midAnchorAligned = {\n\t\t\t\t\tx: cornerAlignedC.x + (cornerAlignedD.x - cornerAlignedC.x) * 0.5,\n\t\t\t\t\ty: cornerAlignedC.y + (cornerAlignedD.y - cornerAlignedC.y) * 0.5\n\t\t\t\t};\n\n\t\t\t\tconst screenTargetPosition = mapImagePointToEditorPoint(mid);\n\t\t\t\tvectorAdd(screenTargetPosition, translation);\n\t\t\t\tconst imageTargetPosition = mapEditorPointToImagePoint(screenTargetPosition);\n\t\t\t\tconst imageTargetTranslation = vectorCreate(imageTargetPosition.x - mid.x, imageTargetPosition.y - mid.y);\n\t\t\t\tconst imageTargetTranslationAligned = vectorRotate(vectorClone(imageTargetTranslation), -rectRotation);\n\t\t\t\tconst d = vectorSubtract(vectorClone(cornerAlignedA), cornerAlignedB);\n\t\t\t\tconst f = vectorApply(d, v => 1 - Math.abs(Math.sign(v)));\n\t\t\t\tconst t = vectorCreate(imageTargetTranslationAligned.x * f.x, imageTargetTranslationAligned.y * f.y);\n\t\t\t\tvectorAdd(cornerAlignedA, t);\n\t\t\t\tvectorAdd(cornerAlignedB, t);\n\t\t\t\tconst rectAlignedResized = rectCreateFromPoints(rectAlignedCorners);\n\n\t\t\t\t// limit rect\n\t\t\t\tif (shapeAspectRatio) {\n\t\t\t\t\tlet width = rectAlignedResized.width;\n\t\t\t\t\tlet height = rectAlignedResized.height;\n\n\t\t\t\t\tif (f.y === 0) {\n\t\t\t\t\t\theight = width / shapeAspectRatio;\n\t\t\t\t\t} else {\n\t\t\t\t\t\twidth = height * shapeAspectRatio;\n\t\t\t\t\t}\n\n\t\t\t\t\t// update size\n\t\t\t\t\trectAlignedResized.width = width;\n\n\t\t\t\t\trectAlignedResized.height = height;\n\n\t\t\t\t\t// align to anchor\n\t\t\t\t\tif (f.y === 0) {\n\t\t\t\t\t\trectAlignedResized.y = midAnchorAligned.y - height * 0.5;\n\t\t\t\t\t} else {\n\t\t\t\t\t\trectAlignedResized.x = midAnchorAligned.x - width * 0.5;\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\t// rotate the aligned rectangle around it's original pivot point\n\t\t\t\tconst rr = rectRotate(rectAlignedResized, rectRotation, rectAlignedCenterPosition);\n\n\t\t\t\t// now calculate the new center and then rotate the tl and br corners around that center to find their new positions\n\t\t\t\tconst rrc = vectorCenter(rr);\n\n\t\t\t\tconst p1 = vectorRotate(rr[0], -rectRotation, rrc);\n\t\t\t\tconst p2 = vectorRotate(rr[2], -rectRotation, rrc);\n\t\t\t\tconst rectUpdated = rectCreateFromPoints([p1, p2]);\n\t\t\t\tlet props;\n\n\t\t\t\tif (shapeIsEllipse(shapeCurrent)) {\n\t\t\t\t\tprops = ellipseCreateFromRect(rectUpdated);\n\t\t\t\t} else if (shapeHasSize(shapeCurrent)) {\n\t\t\t\t\tprops = rectUpdated;\n\t\t\t\t} else if (hasAutoHeight) {\n\t\t\t\t\tprops = {\n\t\t\t\t\t\tx: rectUpdated.x,\n\t\t\t\t\t\ty: rectUpdated.y,\n\t\t\t\t\t\twidth: rectUpdated.width\n\t\t\t\t\t};\n\t\t\t\t}\n\n\t\t\t\tupdateShape(shapeCurrent, props, parentRect);\n\t\t\t}\n\t\t}\n\n\t\t// redraw\n\t\tsyncShapes();\n\t};\n\n\tlet rotatorInitialPosition;\n\n\tconst rotateShape = (shapeCurrent, shapeOriginComputed, translation, options) => {\n\t\t// calculate angle between translated rotation control and origin\n\t\tconst shapeRect = getMarkupShapeRect(shapeComputeDisplay(shapeDeepCopy(shapeCurrent), parentRect));\n\n\t\tconst shapeCenter = rectCenter(shapeRect);\n\t\tconst p = getImagePointWithScreenTranslation(rotatorInitialPosition, translation);\n\t\tlet shapeRotation = vectorAngleBetween(p, shapeCenter) + Math.PI / 2;\n\n\t\tif (options.shiftKey) {\n\t\t\tconst rotatorSnapInterval = Math.PI / 16;\n\t\t\tshapeRotation = rotatorSnapInterval * Math.round(shapeRotation / rotatorSnapInterval) - contextRotation % rotatorSnapInterval;\n\t\t}\n\n\t\tupdateShape(shapeCurrent, { rotation: shapeRotation }, parentRect);\n\t\tsyncShapes();\n\t};\n\n\tconst getMarkupItemDraft = () => {\n\t\tif (!markup.length) return;\n\t\treturn markup.find(shapeIsDraft);\n\t};\n\n\tconst getMarkupItemDraftIndex = () => {\n\t\tif (!markup.length) return;\n\t\treturn markup.findIndex(shapeIsDraft);\n\t};\n\n\tconst addMarkupItemDraft = (shape, sync = true) => {\n\t\tif (getMarkupItemDraft()) return;\n\t\tshapeMakeDraft(shape);\n\t\treturn addShape(shape, sync);\n\t};\n\n\tconst confirmMarkupItemDraft = () => {\n\t\tconst markupItem = getMarkupItemDraft();\n\t\tif (!markupItem) return;\n\t\tshapeMakeFinal(markupItem);\n\t\tsyncShapes();\n\t\treturn markupItem;\n\t};\n\n\tconst discardMarkupItemDraft = () => {\n\t\tif (!getMarkupItemDraft()) return;\n\t\tmarkup.splice(getMarkupItemDraftIndex(), 1);\n\t\tsyncShapes();\n\t};\n\n\tconst createMarkupItem = (props = {}) => ({ id: getUniqueId(), ...props });\n\tconst syncShapes = () => $$invalidate(0, markup);\n\n\tconst addShape = (shape, sync = true) => {\n\t\tmarkup.push(shape);\n\n\t\t// sync markup array\n\t\tif (sync) syncShapes();\n\n\t\treturn shape;\n\t};\n\n\tconst removeMarkupShapeProps = (shape, props = [], sync = true) => {\n\t\tprops.filter(Boolean).forEach(prop => delete shape[prop]);\n\n\t\t// sync markup array\n\t\tif (!sync) return;\n\n\t\tsyncShapes();\n\t};\n\n\tconst updateMarkupShape = (shape, props, sync = true) => {\n\t\t// update markup\n\t\tshape = Object.assign(shape, props);\n\n\t\t// sync markup array\n\t\tif (!sync) return;\n\n\t\tsyncShapes();\n\t};\n\n\tconst updateMarkupShapeProperty = (shape, name, value, sync = true) => {\n\t\tshape[name] = value;\n\n\t\t// sync markup array\n\t\tif (!sync) return;\n\n\t\tsyncShapes();\n\t};\n\n\tconst updateMarkupItemsShapeProperty = (name, value, sync = true) => {\n\t\tmarkup.forEach(shape => updateMarkupShapeProperty(shape, name, value, false));\n\n\t\t// sync markup array\n\t\tif (!sync) return;\n\n\t\tsyncShapes();\n\t};\n\n\tconst updateMarkupShapeItems = (props, sync = true) => {\n\t\tmarkup.forEach(markupItem => updateMarkupShape(markupItem, props, false));\n\n\t\t// sync markup array\n\t\tif (!sync) return;\n\n\t\tsyncShapes();\n\t};\n\n\tconst getActiveMarkupItem = () => [...markup].reverse().find(shapeIsSelected);\n\tconst hasActiveMarkupItem = () => !!getActiveMarkupItem();\n\n\tconst removeShape = shapeToRemove => {\n\t\tif (!beforeRemoveShape(shapeToRemove)) return false;\n\t\t$$invalidate(0, markup = markup.filter(shape => shape !== shapeToRemove));\n\t\tonremoveshape(shapeToRemove);\n\t};\n\n\tconst removeActiveMarkupItem = () => {\n\t\tconst activeShape = getActiveMarkupItem();\n\t\tif (!activeShape) return;\n\n\t\t// get removable markup items,\n\t\tconst removableShapes = markup.filter(shape => shapeCanRemove(shape) && shapeCanSelect(shape));\n\n\t\t// find index of active shape so we can select the next active shape on removal\n\t\tconst index = removableShapes.findIndex(shape => shape === activeShape);\n\n\t\t// remove the active ship from the shape array\n\t\tconst didRemove = removeShape(activeShape);\n\n\t\tif (didRemove === false) return;\n\n\t\t// remember selection\n\t\tpreviousSelectedShape = activeShape;\n\n\t\t// if no more markup items, release active shape\n\t\tif (removableShapes.length - 1 <= 0) return blurShapes();\n\n\t\t// select next active markup item\n\t\tconst indexNext = index - 1 < 0 ? removableShapes.length - 1 : index - 1;\n\n\t\tselectShape(removableShapes[indexNext]);\n\t};\n\n\tlet previousSelectedShape = undefined;\n\n\tconst blurShapes = (options = {}) => {\n\t\tconst { storePrevious = true } = options;\n\n\t\t// clear text state cache, when a text shape is blurred the changes are confirmed\n\t\tObject.keys(ShapeTextStateCache).forEach(key => ShapeTextStateCache[key] = {});\n\n\t\t// remember shape\n\t\tif (storePrevious) previousSelectedShape = getSelectedShape();\n\n\t\tupdateMarkupShapeItems({\n\t\t\tisSelected: false,\n\t\t\tisEditing: false,\n\t\t\t_prerender: false\n\t\t});\n\t};\n\n\tconst getSelectedShape = () => markup.find(shapeIsSelected);\n\n\tconst selectShape = (shape, sync = true) => {\n\t\t// can't select draft\n\t\tif (shapeIsDraft(shape)) return;\n\n\t\t// get currently selected shape\n\t\tconst selectedShapeCurrent = getSelectedShape();\n\n\t\tconst selectedShape = selectedShapeCurrent || previousSelectedShape;\n\n\t\t// was already selected\n\t\tconst wasSelectedShape = shapeIsSelected(shape);\n\n\t\t// reset previous selected shape\n\t\tpreviousSelectedShape = undefined;\n\n\t\t// if is returned false will cancel select operation\n\t\tif (!beforeSelectShape(selectedShape, shape)) return;\n\n\t\t// remove selected state from other markup\n\t\tblurShapes();\n\n\t\t// select\n\t\tshapeSelect(shape);\n\n\t\t// selected this shape\n\t\t!wasSelectedShape && onselectshape(shape);\n\n\t\t// sync\n\t\tif (!sync) return;\n\n\t\tsyncShapes();\n\t};\n\n\tconst deselectMarkupItem = markupItem => {\n\t\t// we're blurring an active text field, should confirm state if inline text editing\n\t\tif (textInput && textInput.confirm && markupItem.isEditing) textInput.confirm();\n\n\t\tupdateMarkupShape(markupItem, {\n\t\t\tisSelected: false,\n\t\t\tisEditing: false,\n\t\t\t_prerender: false\n\t\t});\n\t};\n\n\tconst editMarkupItem = markupItem => {\n\t\tupdateMarkupShape(markupItem, {\n\t\t\tisSelected: true,\n\t\t\tisEditing: true,\n\t\t\t_prerender: textInputMode === 'inline'\n\t\t});\n\t};\n\n\tconst finishEditMarkupItem = markupItem => {\n\t\tupdateMarkupShape(markupItem, {\n\t\t\tisSelected: true,\n\t\t\tisEditing: false,\n\t\t\t_prerender: false\n\t\t});\n\t};\n\n\tconst removeMarkupItems = shapesToRemove => {\n\t\tif (!shapesToRemove.length) return [];\n\t\tconst shapesToRemoveFiltered = shapesToRemove.filter(beforeRemoveShape);\n\t\t$$invalidate(0, markup = markup.filter(shape => !shapesToRemoveFiltered.includes(shape)));\n\t\treturn shapesToRemoveFiltered;\n\t};\n\n\tconst getTextShapeRect = shape => {\n\t\tconst size = textToSize(shape.text, shape);\n\n\t\treturn rectCreate(\n\t\t\tshape.x,\n\t\t\tshape.y,\n\t\t\tshape.width\n\t\t\t? Math.min(shape.width, size.width)\n\t\t\t: size.width,\n\t\t\tshape.height\n\t\t\t? Math.min(shape.height, size.height)\n\t\t\t: size.height\n\t\t);\n\t};\n\n\tconst getMarkupShapeRect = shape => {\n\t\t// has own rect\n\t\tif (shapeHasSize(shape)) return rectCreateFromAny(shape);\n\n\t\tif (shapeIsEllipse(shape)) return rectCreateFromEllipse(shape);\n\n\t\t// calculate the size on canvas\n\t\tconst rect = getTextShapeRect(shape);\n\n\t\trect.width = Math.max(MIN_TEXT_MARKUP_WIDTH, shape.width || rect.width);\n\t\treturn rect;\n\t};\n\n\tconst getShapesNearPosition = (position, range = 0, shapeFilter = () => true) => [...markup].// reverse the array, want to select from top to bottom\n\treverse().// filter out shapes we're not interested in\n\tfilter(shapeFilter).// need priority indicator\n\tmap(shape => ({ shape, priority: 1 })).// find markup near pointer\n\tfilter(result => {\n\t\t// get shape\n\t\tconst { shape } = result;\n\n\t\t// we need to know where the shape will end up\n\t\tconst computedShape = shapeComputeDisplay(shapeDeepCopy(shape), parentRect);\n\n\t\t// add stroke width to range\n\t\tconst r = range + (computedShape.strokeWidth || 0);\n\n\t\t// test if clicked in rect\n\t\tif (shapeIsRect(computedShape)) {\n\t\t\treturn circleOverlapsWithRect(position, r, computedShape, shape.rotation);\n\t\t}\n\n\t\t// test if clicked on text\n\t\tif (shapeIsText(computedShape)) {\n\t\t\tconst shapeRect = getMarkupShapeRect(computedShape);\n\t\t\tconst isPositionInBounds = circleOverlapsWithRect(position, r, shapeRect, shape.rotation);\n\t\t\tlet isPositionInVisual = false;\n\n\t\t\tif (isPositionInBounds && !shapeIsSelected(shape)) {\n\t\t\t\tconst visualRect = getTextShapeRect(computedShape);\n\n\t\t\t\tif (shape.textAlign === 'right' && !shape.flipX) {\n\t\t\t\t\tvisualRect.x = shapeRect.x + shapeRect.width - visualRect.width;\n\t\t\t\t}\n\n\t\t\t\tif (shape.textAlign === 'center') {\n\t\t\t\t\tvisualRect.x = shapeRect.x + shapeRect.width * 0.5 - visualRect.width * 0.5;\n\t\t\t\t}\n\n\t\t\t\tisPositionInVisual = circleOverlapsWithRect(position, r, visualRect, shape.rotation, rectCenter(shapeRect));\n\t\t\t\tif (!isPositionInVisual) result.priority = -1;\n\t\t\t}\n\n\t\t\treturn isPositionInBounds;\n\t\t}\n\n\t\t// test if click on ellipse\n\t\tif (shapeIsEllipse(computedShape)) {\n\t\t\treturn circleOverlapsWithEllipse(position, r, computedShape, shape.rotation, shape.flipX, shape.flipY);\n\t\t}\n\n\t\t// test if clicked on line\n\t\tif (shapeIsLine(computedShape)) {\n\t\t\t// radius around click position, test if line intersects\n\t\t\treturn circleOverlapsWithLine(position, Math.max(16, r), shapeLineGetStartPoint(computedShape), shapeLineGetEndPoint(computedShape)); // always increase range when selecting lines\n\t\t}\n\n\t\t// test if clicked inside polygon\n\t\tif (shapeIsPath(computedShape) && computedShape.pathClose) {\n\t\t\treturn circleOverlapsWithPolygon(position, r, computedShape.points);\n\t\t}\n\n\t\t// test if clicked on path\n\t\tif (shapeIsPath(computedShape)) {\n\t\t\t// radius around click position, test if line intersects\n\t\t\treturn circleOverlapsWithPath(position, Math.max(16, r), computedShape.points); // always increase range when selecting lines\n\t\t}\n\n\t\treturn false;\n\t}).sort((a, b) => {\n\t\tif (a.priority < b.priority) return 1;\n\t\tif (a.priority > b.priority) return -1;\n\t\treturn 0;\n\t}).map(item => item.shape);\n\n\tconst getShapesBetweenPoints = (shapes, a, b, range = 0) => {\n\t\t// make sure range is not negative\n\t\tconst r = Math.abs(range);\n\n\t\t// create line\n\t\tconst line = lineCreate(a, b);\n\n\t\t// eraseLine should be in image space\n\t\tconst eraseLine = lineExtend(line, r);\n\n\t\t// create line polygon\n\t\tconst erasePoly = lineExtrude(eraseLine, r);\n\n\t\t// loop over shapes and find intersecting shapes\n\t\tconst res = shapes.filter(shape => {\n\t\t\tconst computedShape = shapeComputeDisplay(shapeDeepCopy(shape), parentRect);\n\n\t\t\t// if shape is line or path\n\t\t\tif (shapeIsLine(computedShape) || shapeIsPath(computedShape)) {\n\t\t\t\tconst points = computedShape.points\n\t\t\t\t? [...computedShape.points]\n\t\t\t\t: [\n\t\t\t\t\t\tshapeLineGetStartPoint(computedShape),\n\t\t\t\t\t\tshapeLineGetEndPoint(computedShape)\n\t\t\t\t\t];\n\n\t\t\t\treturn !!linePointsIntersection(eraseLine, points);\n\t\t\t}\n\n\t\t\t// else turn into polygon and compare polygons\n\t\t\treturn polyIntersectsWithPoly(erasePoly, shapeToPoly(computedShape));\n\t\t});\n\n\t\treturn res;\n\t};\n\n\t//#region shape base interaction\n\tlet interactionPoint = undefined;\n\n\tlet interactionTimer = undefined;\n\tlet interactionTarget = undefined;\n\tlet interactionShape = undefined;\n\tlet interactionShapeOrigin = undefined;\n\tlet interactionShapeOriginComputed = undefined;\n\tlet interactionShapeWasSelected = false;\n\tlet isInteracting = false;\n\n\tconst handleInteractionStart = e => {\n\t\tconst { origin } = e.detail;\n\t\tinteractionShape = undefined;\n\t\tinteractionShapeOrigin = undefined;\n\t\tinteractionShapeOriginComputed = undefined;\n\t\tinteractionShapeWasSelected = false;\n\t\tinteractionTarget = undefined;\n\t\tclearTimeout(interactionTimer);\n\t\tinteractionTimer = setTimeout(() => $$invalidate(120, isInteracting = true), 250);\n\n\t\t// if is editing text\n\t\tconst draft = getMarkupItemDraft();\n\n\t\tif (draft && !(shapeIsPath(draft) && hasProp(draft, 'pathClose'))) confirmMarkupItemDraft();\n\n\t\t// test if target is a shape, if not, run interaction handler\n\t\tinteractionPoint = mapEditorPointToImagePoint(vectorClone(origin));\n\n\t\tconst foundShapes = getShapesNearPosition(interactionPoint, selectRadius, shape => shapeCanSelect(shape));\n\t\tconst targettedMarkupItem = foundShapes.length && foundShapes.shift();\n\n\t\t// confirm text when moving between shapes\n\t\tif (activeMarkup && shapeIsTextEditing(activeMarkup)) handleTextConfirm();\n\n\t\t// deselect\n\t\tif (!targettedMarkupItem && activeMarkup && shapeIsTextEditing(activeMarkup)) deselectMarkupItem(activeMarkup);\n\n\t\t// if is clicking outside of canvas, don't create new shape\n\t\tif (!willStartInteraction(origin)) return;\n\n\t\t// check if markup was targetted\n\t\tif (targettedMarkupItem && shapeIsSelected(targettedMarkupItem)) {\n\t\t\tinteractionShapeWasSelected = true;\n\t\t\tinteractionShape = targettedMarkupItem;\n\n\t\t\t// create a deep copy so we can check on end interaction if the shape was changed\n\t\t\tinteractionShapeOrigin = shapeDeepCopy(interactionShape);\n\n\t\t\t// clone shape we're interacting with so we can update it properly\n\t\t\tinteractionShapeOriginComputed = shapeComputeDisplay(shapeDeepCopy(interactionShape), parentRect);\n\n\t\t\treturn;\n\t\t}\n\n\t\t// set target\n\t\tinteractionTarget = targettedMarkupItem || undefined;\n\n\t\t// started interacting\n\t\tconst didStartInteraction = oninteractionstart(e);\n\n\t\t// drag current targetted it as fallback interaction,\n\t\t// helps make sticker interaction easier\n\t\tif (!didStartInteraction && targettedMarkupItem) {\n\t\t\t// select\n\t\t\tselectShape(targettedMarkupItem);\n\n\t\t\tinteractionShape = targettedMarkupItem;\n\n\t\t\t// create a deep copy so we can check on end interaction if the shape was changed\n\t\t\tinteractionShapeOrigin = shapeDeepCopy(interactionShape);\n\n\t\t\t// clone shape we're interacting with so we can update it properly\n\t\t\tinteractionShapeOriginComputed = shapeComputeDisplay(shapeDeepCopy(interactionShape), parentRect);\n\t\t}\n\t};\n\n\tconst resetInteraction = () => {\n\t\tclearTimeout(interactionTimer);\n\t\tinteractionTimer = undefined;\n\t\t$$invalidate(120, isInteracting = false);\n\t};\n\n\tconst handleInteractionCancel = e => {\n\t\tresetInteraction();\n\t\toninteractioncancel(e);\n\t};\n\n\tconst handleInteractionUpdate = e => {\n\t\tconst { translation } = e.detail;\n\n\t\t// is interacting with shape\n\t\tif (interactionShape) {\n\t\t\t// prevent moving if not allowed\n\t\t\tif (!shapeCanMove(interactionShape)) return;\n\n\t\t\t// prevent moving if is editing text\n\t\t\tif (shapeIsTextEditing(interactionShape)) return;\n\n\t\t\treturn translateShape(interactionShape, interactionShapeOriginComputed, translation);\n\t\t}\n\n\t\toninteractionupdate(e);\n\t};\n\n\tconst handleInteractionRelease = e => {\n\t\tresetInteraction();\n\n\t\t// test if is text and if we double tapped, if so, switch to text edit mode\n\t\tif (interactionShape) {\n\t\t\tif (shapeIsTextEditing(interactionShape)) {\n\t\t\t\thandleTextCancel();\n\t\t\t} else // if tapped shape, and shape is text, and shape was selected\n\t\t\tif (e.detail.isTap && interactionShapeWasSelected && shapeIsText(interactionShape) && shapeCanInput(interactionShape) !== false) {\n\t\t\t\teditMarkupItem(interactionShape);\n\t\t\t}\n\n\t\t\treturn;\n\t\t}\n\n\t\toninteractionrelease(e);\n\t};\n\n\tconst handleInteractionEnd = e => {\n\t\tconst isSelectInteraction = interactionTarget && e.detail.isTap;\n\n\t\tif (e.detail.isTap) ontapcanvas({\n\t\t\ttarget: interactionShape || interactionTarget,\n\t\t\tposition: interactionPoint\n\t\t});\n\n\t\t// shape remains active so user can resize, rotate\n\t\tif (interactionShape) {\n\t\t\tontapshape(interactionShape);\n\n\t\t\tif (!shapeEqual(interactionShape, interactionShapeOrigin)) {\n\t\t\t\tonupdateshape(interactionShape);\n\t\t\t}\n\n\t\t\tinteractionShape = undefined;\n\t\t\treturn;\n\t\t}\n\n\t\t// can we deselect the current shape?\n\t\tconst currentSelectedShape = getSelectedShape();\n\n\t\tconst allowDeselectShape = currentSelectedShape\n\t\t? beforeDeselectShape(currentSelectedShape, interactionTarget || undefined)\n\t\t: true;\n\n\t\tif (allowDeselectShape) {\n\t\t\tblurShapes({ storePrevious: false });\n\t\t}\n\n\t\toninteractionend(e);\n\n\t\tif (allowDeselectShape && isSelectInteraction) {\n\t\t\tselectShape(interactionTarget);\n\t\t}\n\t};\n\n\t//#endregion\n\t//\n\t// Shape manipulation\n\t//\n\tconst getMarkupShapePoints = shape => {\n\t\tif (shapeIsRect(shape)) {\n\t\t\t// too small to draw\n\t\t\tif (shape.width < 1 && shape.height < 1) return;\n\n\t\t\tconst center = rectCenter(shape);\n\t\t\tconst points = rectGetCorners(shape);\n\n\t\t\tif (shape.flipX || shape.flipY) {\n\t\t\t\tvectorsFlip(points, shape.flipX, shape.flipY, center.x, center.y);\n\t\t\t}\n\n\t\t\treturn vectorsRotate(points, shape.rotation, center.x, center.y);\n\t\t}\n\n\t\tif (shapeIsEllipse(shape)) {\n\t\t\tif (shape.rx < 1 && shape.ry < 1) return;\n\t\t\tconst center = shape;\n\t\t\tconst points = rectGetCorners(rectCreateFromEllipse(shape));\n\n\t\t\tif (shape.flipX || shape.flipY) {\n\t\t\t\tvectorsFlip(points, shape.flipX, shape.flipY, center.x, center.y);\n\t\t\t}\n\n\t\t\treturn vectorsRotate(points, shape.rotation, center.x, center.y);\n\t\t}\n\n\t\tif (shapeIsLine(shape)) {\n\t\t\treturn [shapeLineGetStartPoint(shape), shapeLineGetEndPoint(shape)];\n\t\t}\n\n\t\tif (shapeIsPath(shape)) {\n\t\t\treturn [...shape.points];\n\t\t}\n\n\t\tif (shapeIsText(shape)) {\n\t\t\t// too small to draw\n\t\t\tif (shape.width < 5 && shape.height < 5) return;\n\n\t\t\tconst rect = getMarkupShapeRect(shape);\n\t\t\trect.width = Math.max(MIN_TEXT_MARKUP_WIDTH, rect.width);\n\t\t\tconst center = rectCenter(rect);\n\t\t\tconst points = rectGetCorners(rect);\n\n\t\t\tif (shape.flipX || shape.flipY) {\n\t\t\t\tvectorsFlip(points, shape.flipX, shape.flipY, center.x, center.y);\n\t\t\t}\n\n\t\t\treturn vectorsRotate(points, shape.rotation, center.x, center.y);\n\t\t}\n\n\t\treturn [];\n\t};\n\n\tconst getShapeRotationPoint = shape => {\n\t\tconst points = getMarkupShapePoints(shape);\n\t\tlet origin;\n\t\tlet dir;\n\n\t\tif (shape.flipY) {\n\t\t\torigin = vectorCenter([points[0], points[1]]);\n\t\t\tdir = vectorNormalize(vectorCreate(points[1].x - points[2].x, points[1].y - points[2].y));\n\t\t} else {\n\t\t\torigin = vectorCenter([points[2], points[3]]);\n\t\t\tdir = vectorNormalize(vectorCreate(points[2].x - points[1].x, points[2].y - points[1].y));\n\t\t}\n\n\t\tvectorMultiply(dir, ROTATION_CONTROL_OFFSET / contextZoom);\n\t\treturn { origin, dir };\n\t};\n\n\tconst getShapeRotationPointOnScreen = shape => {\n\t\tconst markupPoint = getShapeRotationPoint(shape);\n\n\t\tconst screenPosition = mapImagePointToEditorPoint({\n\t\t\tx: markupPoint.origin.x + markupPoint.dir.x,\n\t\t\ty: markupPoint.origin.y + markupPoint.dir.y\n\t\t});\n\n\t\tconst screenOrigin = mapImagePointToEditorPoint(markupPoint.origin);\n\n\t\treturn {\n\t\t\torigin: screenOrigin,\n\t\t\tposition: screenPosition\n\t\t};\n\t};\n\n\tconst showHover = shape => {\n\t\tconst shapePoints = getMarkupShapePoints(shapeComputeDisplay(shapeDeepCopy(shape), parentRect));\n\t\tif (!shapePoints) return;\n\t\tconst points = shapePoints.map(mapImagePointToEditorPoint);\n\n\t\tconst pathClose = shape.pathClose\n\t\t? true\n\t\t: shapeIsPath(shape) || shapeIsLine(shape) ? false : true;\n\n\t\tconst outlineShadow = {\n\t\t\tid: markupHoverShapeId,\n\t\t\tpoints: points.map(p => vectorCreate(p.x + 1, p.y + 1)),\n\t\t\tstrokeColor: [0, 0, 0, 0.1],\n\t\t\tstrokeWidth: 2,\n\t\t\tpathClose\n\t\t};\n\n\t\tconst outline = {\n\t\t\tid: markupHoverShapeId,\n\t\t\tpoints,\n\t\t\tstrokeColor: hoverColor,\n\t\t\tstrokeWidth: 2,\n\t\t\tpathClose\n\t\t};\n\n\t\t// remove any previous hover shapes\n\t\tconst res = ui.filter(shape => shape.id !== markupHoverShapeId);\n\n\t\t// update ui\n\t\t$$invalidate(55, ui = [...res, outlineShadow, outline]);\n\t};\n\n\tconst hideHover = () => {\n\t\t// remove shapes\n\t\tconst res = ui.filter(shape => shape.id !== markupHoverShapeId);\n\n\t\t// no shapes removed, don't update ui\n\t\tif (res.length === ui.length) return;\n\n\t\t$$invalidate(55, ui = res);\n\t};\n\n\tlet hoverShape;\n\n\t// draw shape manipulator edges\n\tconst ShapeManipulatorUid = `markup-manipulator-segment-` + uid;\n\n\tconst redrawManipulatorLines = (opacity, shape, pointerPosition) => {\n\t\tconst isPath = shapeIsPath(shape);\n\t\tconst isPolygon = isPath && hasProp(shape, 'pathClose');\n\t\tconst hasStroke = isPolygon && shapeHasStroke(shape);\n\t\tconst isDraft = shapeIsDraft(shape);\n\t\tconst isTextEditing = shapeIsTextEditing(shape);\n\n\t\t// don't draw line manipulator on sharpie draft\n\t\tif (isDraft && isPath && !isPolygon) return;\n\n\t\t// create manipulator outline segments\n\t\tconst segments = [];\n\n\t\tconst screenPoints = [...shapeActiveScreenPoints];\n\t\tconst screenPointsLast = screenPoints[screenPoints.length - 1];\n\t\tconst screenPointsFirst = screenPoints[0];\n\t\tconst shadowOpacity = (isTextEditing ? 0.05 : 0.1) * opacity;\n\t\tconst lineOpacity = (isTextEditing ? 0.5 : 1) * opacity;\n\t\tconst strokeColorShadow = [0, 0, 0];\n\t\tconst strokeColor = [1, 1, 1];\n\t\tconst strokeWidth = isTextEditing ? 1 : 1.5;\n\n\t\t// if shift is held snap to last point\n\t\tif ($keysPressedStored.includes(16) && screenPointsLast && pointerPosition) snapRelativeToAnchor(screenPointsLast, pointerPosition);\n\n\t\tconst distToOriginSquared = screenPoints.length && isPolygon && isDraft && pointerPosition\n\t\t? vectorDistanceSquared(screenPointsFirst, pointerPosition)\n\t\t: Infinity;\n\n\t\tconst distToLastSquared = screenPoints.length && isPolygon && isDraft && pointerPosition\n\t\t? vectorDistanceSquared(screenPointsLast, pointerPosition)\n\t\t: Infinity;\n\n\t\tconst canClosePath = distToOriginSquared <= POLYGON_END_PATH_DISTANCE_SQUARED;\n\t\tconst canEndPath = distToLastSquared <= POLYGON_END_PATH_DISTANCE_SQUARED;\n\n\t\t// if we can't close the path we draw a line from the last point to the pointer position\n\t\tif (!canClosePath && pointerPosition) screenPoints.push(pointerPosition);\n\n\t\tconst canDrawLine = screenPoints.length > 1;\n\n\t\tconst closeSelectionPath = shape.pathClose\n\t\t? true\n\t\t: shapeIsPath(shape) || shapeIsLine(shape)\n\t\t\t? screenPoints.length > 2 && canClosePath\n\t\t\t: true;\n\n\t\t// shadows\n\t\tcanDrawLine && segments.push({\n\t\t\tid: ShapeManipulatorUid,\n\t\t\tpoints: screenPoints.map(p => vectorCreate(p.x + 1, p.y + 1)),\n\t\t\tpathClose: closeSelectionPath,\n\t\t\tstrokeColor: strokeColorShadow,\n\t\t\tstrokeWidth: 2,\n\t\t\topacity: shadowOpacity\n\t\t});\n\n\t\tisPolygon && segments.push(...screenPoints.map(point => {\n\t\t\treturn {\n\t\t\t\tid: ShapeManipulatorUid,\n\t\t\t\t...point,\n\t\t\t\trx: strokeWidth * 2,\n\t\t\t\try: strokeWidth * 2,\n\t\t\t\tbackgroundColor: strokeColorShadow,\n\t\t\t\topacity: shadowOpacity\n\t\t\t};\n\t\t}));\n\n\t\tif (shapeManipulatorRotationPoint) {\n\t\t\t// add rotator line shadow\n\t\t\tsegments.push({\n\t\t\t\tid: ShapeManipulatorUid,\n\t\t\t\tpoints: [\n\t\t\t\t\tvectorCreate(shapeManipulatorRotationPoint.origin.x + 1, shapeManipulatorRotationPoint.origin.y + 1),\n\t\t\t\t\tvectorCreate(shapeManipulatorRotationPoint.position.x + 1, shapeManipulatorRotationPoint.position.y + 1)\n\t\t\t\t],\n\t\t\t\tstrokeColor: strokeColorShadow,\n\t\t\t\tstrokeWidth: 2,\n\t\t\t\topacity: shadowOpacity\n\t\t\t});\n\t\t}\n\n\t\t// lines\n\t\tcanDrawLine && segments.push({\n\t\t\tid: ShapeManipulatorUid,\n\t\t\tpoints: screenPoints,\n\t\t\tpathClose: closeSelectionPath,\n\t\t\tstrokeColor,\n\t\t\tstrokeWidth,\n\t\t\tbackgroundColor: isDraft && isPolygon && shape.backgroundColor && shape.backgroundColor[3] > 0\n\t\t\t? shape.backgroundColor\n\t\t\t: [0, 0, 0, 0],\n\t\t\topacity: lineOpacity\n\t\t});\n\n\t\tisPolygon && segments.push(...screenPoints.map(point => {\n\t\t\treturn {\n\t\t\t\tid: ShapeManipulatorUid,\n\t\t\t\t...point,\n\t\t\t\trx: strokeWidth * 3,\n\t\t\t\try: strokeWidth * 3,\n\t\t\t\tbackgroundColor: [0.5, 0.5, 0.5],\n\t\t\t\tstrokeWidth,\n\t\t\t\tstrokeColor\n\t\t\t};\n\t\t}));\n\n\t\tisPolygon && isDraft && shapeActiveScreenPoints.length >= 3 && segments.push({\n\t\t\t...screenPointsFirst,\n\t\t\tid: ShapeManipulatorUid,\n\t\t\trx: strokeWidth * (canClosePath ? 5 : 4),\n\t\t\try: strokeWidth * (canClosePath ? 5 : 4),\n\t\t\tbackgroundColor: canClosePath ? hoverColor : [0.5, 0.5, 0.5],\n\t\t\tstrokeWidth,\n\t\t\tstrokeColor\n\t\t});\n\n\t\tisPolygon && isDraft && hasStroke && !canClosePath && shapeActivePoints.length >= 2 && segments.push({\n\t\t\t...screenPointsLast,\n\t\t\tid: ShapeManipulatorUid,\n\t\t\trx: strokeWidth * (canEndPath ? 5 : 4),\n\t\t\try: strokeWidth * (canEndPath ? 5 : 4),\n\t\t\tbackgroundColor: canEndPath ? hoverColor : [0.5, 0.5, 0.5],\n\t\t\tstrokeWidth,\n\t\t\tstrokeColor\n\t\t});\n\n\t\tif (shapeManipulatorRotationPoint) {\n\t\t\t// add rotator line\n\t\t\tsegments.push({\n\t\t\t\tid: ShapeManipulatorUid,\n\t\t\t\tpoints: [\n\t\t\t\t\t{\n\t\t\t\t\t\tx: shapeManipulatorRotationPoint.origin.x,\n\t\t\t\t\t\ty: shapeManipulatorRotationPoint.origin.y\n\t\t\t\t\t},\n\t\t\t\t\t{\n\t\t\t\t\t\tx: shapeManipulatorRotationPoint.position.x,\n\t\t\t\t\t\ty: shapeManipulatorRotationPoint.position.y\n\t\t\t\t\t}\n\t\t\t\t],\n\t\t\t\tstrokeColor,\n\t\t\t\tstrokeWidth,\n\t\t\t\topacity: lineOpacity\n\t\t\t});\n\t\t}\n\n\t\t// replace existing segments\n\t\t$$invalidate(55, ui = ui.filter(guide => guide.id !== ShapeManipulatorUid).concat(segments));\n\t};\n\n\tconst removeMarkupManipulatorLines = () => {\n\t\t$$invalidate(55, ui = ui.filter(guide => guide.id !== ShapeManipulatorUid));\n\t};\n\n\tconst togglePrerender = isActive => {\n\t\tif (!isActive) return updateMarkupShapeItems({ _prerender: false });\n\t\tconst shape = markup.find(markupItem => markupItem.isEditing);\n\t\tif (!shape) return;\n\t\tupdateMarkupShape(shape, { _prerender: textInputMode === 'inline' });\n\t};\n\n\tconst handleManipulatorResizeGrab = e => {\n\t\t$$invalidate(120, isInteracting = true);\n\t\tinteractionShape = activeMarkup;\n\t\tinteractionShapeOriginComputed = activeMarkupComputed;\n\t};\n\n\tconst handleManipulatorResizeDrag = e => {\n\t\t// is possible when using multiple fingers (scale canvas + drag / resize)\n\t\tif (!interactionShape) {\n\t\t\t$$invalidate(120, isInteracting = false);\n\t\t\treturn;\n\t\t}\n\n\t\tconst { translation, indexes, shiftKey } = e.detail;\n\t\tresizeShape(interactionShape, interactionShapeOriginComputed, indexes, translation, { shiftKey });\n\t};\n\n\tconst handleManipulatorResizeEnd = e => {\n\t\t// is possible when using multiple fingers (scale canvas + drag / resize)\n\t\tif (!interactionShape) {\n\t\t\t$$invalidate(120, isInteracting = false);\n\t\t\treturn;\n\t\t}\n\n\t\tselectShape(interactionShape);\n\t\tconst { isTap } = e.detail;\n\t\tif (isTap) ontapshape(interactionShape);\n\t\tinteractionShape = undefined;\n\t\t$$invalidate(120, isInteracting = false);\n\t\tonupdateshape(activeMarkup);\n\t};\n\n\tconst handleManipulatorRotateGrab = e => {\n\t\trotatorInitialPosition = getShapeRotationPoint(activeMarkupComputed).origin;\n\t\t$$invalidate(120, isInteracting = true);\n\t\tinteractionShape = activeMarkup;\n\t\tinteractionShapeOriginComputed = activeMarkupComputed;\n\t};\n\n\tconst handleManipulatorRotateDrag = e => {\n\t\t// is possible when using multiple fingers (scale canvas + drag / resize)\n\t\tif (!interactionShape) {\n\t\t\t$$invalidate(120, isInteracting = false);\n\t\t\treturn;\n\t\t}\n\n\t\tconst { translation, shiftKey } = e.detail;\n\t\trotateShape(interactionShape, interactionShapeOriginComputed, translation, { shiftKey });\n\t};\n\n\tconst handleManipulatorRotateEnd = () => {\n\t\t// is possible when using multiple fingers (scale canvas + drag / resize)\n\t\tif (!interactionShape) {\n\t\t\t$$invalidate(120, isInteracting = false);\n\t\t\treturn;\n\t\t}\n\n\t\tselectShape(interactionShape);\n\t\tinteractionShape = undefined;\n\t\t$$invalidate(120, isInteracting = false);\n\t\tonupdateshape(activeMarkup);\n\t};\n\n\t//\n\t// Keyboard\n\t//\n\tconst handleKey = e => {\n\t\t// get key type\n\t\tconst { key } = e;\n\n\t\tconst isEscape = (/escape/i).test(key);\n\n\t\t// if (isEscape && getMarkupItemDraft()) {\n\t\t//     e.preventDefault();\n\t\t//     e.stopPropagation();\n\t\t//     discardMarkupItemDraft();\n\t\t//     return;\n\t\t// }\n\t\t// only handle key input if a shape has been selected\n\t\tif (!hasActiveMarkupItem()) return;\n\n\t\t// if is escape deselect active item\n\t\tif (isEscape) {\n\t\t\te.preventDefault();\n\t\t\te.stopPropagation();\n\t\t\treturn deselectMarkupItem(activeMarkup);\n\t\t}\n\n\t\t// if is tab, select next markup item\n\t\t/*\nif (/arrow/i.test(key)) {\n    const success = e.shiftKey \n        ? selectPreviousMarkupItem(activeMarkup)\n        : selectNextMarkupItem(activeMarkup);\n    \n    if (success) {\n        e.preventDefault();\n        e.stopPropagation();\n    }\n}\n*/\n\t\t// if is remove active\n\t\tif ((/backspace|delete/i).test(key) && !isTextInputElement(e.target)) {\n\t\t\t// prevent back navigation on Firefox\n\t\t\te.preventDefault();\n\n\t\t\t// remove the item\n\t\t\tremoveActiveMarkupItem();\n\t\t}\n\n\t\t// if is duplicate active shape keyboard shortcut\n\t\tif (allowShapeDuplicate && key === 'd' && (e.metaKey || e.ctrlKey)) {\n\t\t\te.preventDefault();\n\t\t\te.stopPropagation();\n\t\t\tduplicateActiveMarkup();\n\t\t}\n\t};\n\n\tconst isTextInputElement = element => {\n\t\treturn element.isContentEditable || (/input|textarea/i).test(element.nodeName);\n\t};\n\n\t//\n\t// Text input\n\t//\n\tlet textInput;\n\n\tconst getTextShapeOriginSnapshot = () => ({ ...activeMarkup });\n\n\tconst getTextInputTextStyles = (shapeComputed, mode) => {\n\t\tconst { textAlign = 'left', fontFamily = 'sans-serif', fontWeight = 'normal', fontStyle = 'normal' } = shapeComputed;\n\t\tconst imp = '!important';\n\t\tconst cosmetic = `text-align:${textAlign}${imp};font-family:${fontFamily}${imp};font-weight:${fontWeight}${imp};font-style:${fontStyle}${imp};`;\n\t\tif (mode === 'modal') return cosmetic;\n\t\tlet fontSize = shapeComputed.fontSize;\n\n\t\t// this is to work around Firefox 1000px limit on font-size\n\t\tlet fontScalar = 1;\n\n\t\tlet fontScalarStyles = '';\n\n\t\tif (fontSize > 1000 && isFirefox()) {\n\t\t\tfontScalar = fontSize / 1000;\n\t\t\tfontScalarStyles = `transform-origin:0 0;transform:scale(${fontScalar})`;\n\t\t\tfontSize = 1000;\n\t\t}\n\n\t\tlet lineHeight = shapeComputed.lineHeight / fontScalar;\n\t\tconst color = colorArrayToRGBA(shapeComputed.color);\n\t\tconst initialLineOffset = Math.max(0, fontSize - lineHeight) * 0.5;\n\t\treturn `--font-scalar:${fontScalar};--bottom-inset:${initialLineOffset}px;padding:${initialLineOffset}px 0 0${imp};color:${color}${imp};font-size:${fontSize}px${imp};line-height:${lineHeight}px${imp};${cosmetic};${fontScalarStyles}`;\n\t};\n\n\tconst getTextInputPositionStyles = (shapeComputed, offset, contextZoom, contextRotation) => {\n\t\tlet center;\n\t\tlet size;\n\n\t\tif (shapeComputed.width && shapeComputed.height) {\n\t\t\t// text box\n\t\t\tcenter = rectCenter(shapeComputed);\n\n\t\t\tsize = sizeCreateFromAny(shapeComputed);\n\t\t} else {\n\t\t\t// text line\n\t\t\tsize = textToSize(activeMarkup.text, activeMarkupComputed);\n\n\t\t\t// if has fix width, we'll use that\n\t\t\tsize.width = activeMarkupComputed.width || size.width;\n\n\t\t\tcenter = vectorCreate(shapeComputed.x + size.width * 0.5, shapeComputed.y + size.height * 0.5);\n\t\t}\n\n\t\tconst lineHeight = Math.max(0, shapeComputed.fontSize - shapeComputed.lineHeight) + shapeComputed.lineHeight;\n\t\tconst position = mapImagePointToEditorPoint(center);\n\t\tlet tx = position.x - offset.x - size.width * 0.5;\n\t\tlet ty = position.y - offset.y - size.height * 0.5;\n\t\tlet flipX = shapeComputed.flipX;\n\t\tlet flipY = shapeComputed.flipY;\n\t\tlet r = shapeComputed.rotation;\n\n\t\tif (contextFlipX && contextFlipY) {\n\t\t\tflipX = !flipX;\n\t\t\tflipY = !flipY;\n\t\t} else if (contextFlipX) {\n\t\t\tflipX = !flipX;\n\t\t\tr = -r;\n\t\t} else if (contextFlipY) {\n\t\t\tflipY = !flipY;\n\t\t\tr = -r;\n\t\t}\n\n\t\tr += contextRotation;\n\t\tconst sx = contextZoom * (flipX ? -1 : 1);\n\t\tconst sy = contextZoom * (flipY ? -1 : 1);\n\t\treturn `--line-height:${lineHeight}px;width:${size.width}px;height:${size.height}px;transform:translate(${tx}px,${ty}px) rotate(${r}rad) scale(${sx}, ${sy})`;\n\t};\n\n\t// sets the contenteditable text when user clicks text shape\n\tconst syncTextInput = () => updateTextInputValue(textInputText);\n\n\tconst updateTextInputValue = text => {\n\t\t$$invalidate(8, textInput.innerHTML = textToHTML(text), textInput);\n\t};\n\n\t// cleans up single line text\n\tconst removeLineBreaks = text => {\n\t\tconst lines = text.// split on lines so we can create compressed normal line of text\n\t\tsplit(/[\\n\\r]/g);\n\n\t\tif (lines.length > 1) {\n\t\t\treturn lines.// remove spaces around lines\n\t\t\tmap(str => str.trim()).// remove empty strings\n\t\t\tfilter(str => str.length).// create new line\n\t\t\tjoin(' ');\n\t\t}\n\n\t\t// just return line\n\t\treturn lines[0];\n\t};\n\n\tconst getTextInputValue = element => {\n\t\tconst elementValue = element.value === undefined\n\t\t? element.innerHTML\n\t\t: element.value;\n\n\t\tconst elementValueClean = activeMarkup.format === 'text'\n\t\t? htmlToText(elementValue)\n\t\t: elementValue;\n\n\t\tconst value = shapeIsTextBlock(activeMarkup) && activeMarkup.disableNewline !== false\n\t\t? removeLineBreaks(elementValueClean)\n\t\t: elementValueClean;\n\n\t\treturn value;\n\t};\n\n\tconst formatContentEditable = html => {\n\t\t// check if can input\n\t\tconst canInput = shapeCanInput(activeMarkup, html);\n\n\t\treturn canInput === true ? html : canInput;\n\t};\n\n\tconst handleTextInput = () => {\n\t\tconst value = getTextInputValue(textInput);\n\t\tconst canInput = shapeCanInput(activeMarkup, value);\n\t\tconst text = canInput === true ? value : canInput;\n\t\tlet x = textShapeDisplayOrigin.x;\n\t\tlet y = textShapeDisplayOrigin.y;\n\n\t\t// if does not have height we need to adjust offset if is rotated\n\t\tif (!activeMarkup.height) {\n\t\t\t// draw origin rect\n\t\t\tconst originRotatedRect = rectRotate({ ...textRectDisplayOrigin }, activeMarkup.rotation);\n\n\t\t\t// draw current rect\n\t\t\tconst size = textToSize(text, activeMarkupComputed);\n\n\t\t\tconst currentRotatedRect = rectRotate({ x, y, ...size }, activeMarkup.rotation);\n\t\t\tconst [originTopLeft, ,originBottomRight] = originRotatedRect;\n\t\t\tconst [currentTopLeft, ,currentBottomRight] = currentRotatedRect;\n\t\t\tlet a = originTopLeft;\n\t\t\tlet b = currentTopLeft;\n\n\t\t\t// if flipped we need to 'extend' the text field in the opposite direction\n\t\t\tif (activeMarkup.flipX) {\n\t\t\t\ta = originBottomRight;\n\t\t\t\tb = currentBottomRight;\n\t\t\t}\n\n\t\t\t// move\n\t\t\tconst d = vectorSubtract(vectorClone(a), b);\n\n\t\t\tx += d.x;\n\t\t\ty += d.y;\n\t\t}\n\n\t\tupdateMarkupShape(activeMarkup, {\n\t\t\tx: isString(textShapeOrigin.x)\n\t\t\t? toPercentage(x, parentRect.width)\n\t\t\t: x,\n\t\t\ty: isString(textShapeOrigin.y)\n\t\t\t? toPercentage(y, parentRect.height)\n\t\t\t: y,\n\t\t\ttext\n\t\t});\n\t};\n\n\tconst handleTextInputAttempt = e => {\n\t\tconst { target, key } = e;\n\t\tconst currentValue = target.value || target.innerText;\n\t\tconst selectionStart = target.selectionStart || 0;\n\t\tconst selectionEnd = target.selectionEnd || currentValue.length;\n\t\tconst currentValueStart = currentValue.substring(0, selectionStart);\n\t\tconst currentValueEnd = currentValue.substring(selectionEnd);\n\t\tconst intendedValue = currentValueStart + key + currentValueEnd;\n\t\tconst filteredValue = shapeCanInput(activeMarkup, intendedValue);\n\t\tif (filteredValue !== intendedValue) return e.preventDefault();\n\t};\n\n\t// prevent moving shape when focusing text field, and close field if escape pressed\n\tconst handleTextInputKeyDown = e => {\n\t\t// block newlines for auto width text that doesn't allow newlines\n\t\tif (shapeIsTextBlock(activeMarkup) && (/enter/i).test(e.code) && activeMarkup.disableNewline !== false) return e.preventDefault();\n\n\t\tif ((/arrow/i).test(e.code)) return e.stopPropagation();\n\t\tif ((/escape/i).test(e.key)) return handleTextCancel();\n\t};\n\n\t// handle alt/ctrl/cmd + return\n\tconst handleTextInputKeyUp = e => {\n\t\t// get key type\n\t\tconst { key, ctrlKey, altKey } = e;\n\n\t\t// confirm multi line text elements\n\t\tif ((/enter/i).test(key) && (ctrlKey || altKey)) return handleTextConfirm();\n\t};\n\n\tconst handleTextConfirm = () => {\n\t\t// if was draft, now need to confirm\n\t\tlet wasDraft = activeShapeIsDraft;\n\n\t\tif (activeShapeIsDraft) confirmMarkupItemDraft();\n\n\t\t// final text input check\n\t\ttextInput && textInput.confirm && textInput.confirm();\n\n\t\thandleTextInput();\n\n\t\t// done\n\t\tfinishEditMarkupItem(activeMarkup);\n\n\t\tif (wasDraft) onaddshape(activeMarkup); else onupdateshape(activeMarkup);\n\t};\n\n\tconst handleTextCancel = () => {\n\t\tif (activeShapeIsDraft) {\n\t\t\tdiscardMarkupItemDraft();\n\t\t} else {\n\t\t\tupdateMarkupShape(activeMarkup, {\n\t\t\t\ttext: textShapeOrigin.text,\n\t\t\t\tx: textShapeOrigin.x,\n\t\t\t\ty: textShapeOrigin.y\n\t\t\t});\n\n\t\t\tfinishEditMarkupItem(activeMarkup);\n\t\t}\n\t};\n\n\t//#region shape popup menu actions\n\tconst getShapeSizeTranslation = (originRect, targetRect, { flipX, flipY, rotation }, anchor = 'top left') => {\n\t\tlet a, b;\n\n\t\t// draw origin rect\n\t\tconst [originTopLeft, originTopRight, originBottomRight, originBottomLeft] = rectRotate(originRect, rotation);\n\n\t\t// draw target rect\n\t\tconst [targetTopLeft, targetTopRight, targetBottomRight, targetBottomLeft] = rectRotate(targetRect, rotation);\n\n\t\tif (anchor === 'top center') {\n\t\t\t// for now doesn't matter if it's flipped horizontal\n\t\t\tconst originMid = vectorCenter(flipY\n\t\t\t? [originBottomLeft, originBottomRight]\n\t\t\t: [originTopLeft, originTopRight]);\n\n\t\t\tconst targetMid = vectorCenter(flipY\n\t\t\t? [targetBottomLeft, targetBottomRight]\n\t\t\t: [targetTopLeft, targetTopRight]);\n\n\t\t\ta = originMid;\n\t\t\tb = targetMid;\n\t\t} else if (anchor === 'top right' && !flipX || anchor === 'top left' && flipX) {\n\t\t\t// tr\n\t\t\ta = flipY ? originBottomRight : originTopRight;\n\n\t\t\tb = flipY ? targetBottomRight : targetTopRight;\n\t\t} else {\n\t\t\t// tl\n\t\t\ta = flipY ? originBottomLeft : originTopLeft;\n\n\t\t\tb = flipY ? targetBottomLeft : targetTopLeft;\n\t\t}\n\n\t\treturn vectorSubtract(vectorClone(a), b);\n\t};\n\n\tconst translateRelative = (current, position, translation) => vectorCreate(\n\t\tisString(current.x)\n\t\t? toPercentage(position.x + translation.x, parentRect.width)\n\t\t: position.x + translation.x,\n\t\tisString(current.y)\n\t\t? toPercentage(position.y + translation.y, parentRect.height)\n\t\t: position.y + translation.y\n\t);\n\n\tconst ShapeTextStateCache = {};\n\tconst handleEditTextActiveMarkup = () => editMarkupItem(activeMarkup);\n\n\tconst handleTextSwitchLayout = () => {\n\t\tconst shapeTextSize = sizeApply(textToSize(activeMarkup.text, activeMarkupComputed), v => Math.ceil(v));\n\t\tconst isFixedBox = hasProp(activeMarkup, 'height');\n\t\tconst isAutoHeightBox = !isFixedBox && hasProp(activeMarkup, 'width');\n\n\t\t// set/get cache entries for this text shape\n\t\tconst key = activeMarkup.id;\n\n\t\tlet cache = ShapeTextStateCache[key];\n\n\t\tif (!cache) {\n\t\t\tShapeTextStateCache[key] = {};\n\t\t\tcache = ShapeTextStateCache[key];\n\t\t}\n\n\t\tconst toAutoWidth = sizeFrom => {\n\t\t\t// remove width prop\n\t\t\tconst { width, ...autoSizeProps } = activeMarkupComputed;\n\n\t\t\tconst sizeTo = textToSize(activeMarkup.text, autoSizeProps);\n\n\t\t\t// this will change dimensions so if rotated we have to calculate new position\n\t\t\tconst translation = getShapeSizeTranslation(rectCreate(activeMarkupComputed.x, activeMarkupComputed.y, sizeFrom.width, sizeFrom.height), rectCreate(activeMarkupComputed.x, activeMarkupComputed.y, sizeTo.width, sizeTo.height), activeMarkupComputed, `top ${activeMarkup.textAlign}`);\n\n\t\t\tconst shouldRemoveTextAlign = activeMarkupComputed.disableNewline !== false;\n\n\t\t\t// switch to auto mode\n\t\t\tremoveMarkupShapeProps(activeMarkup, ['width', 'height', shouldRemoveTextAlign && 'textAlign']);\n\n\t\t\t// update position based on size translation\n\t\t\tupdateMarkupShape(activeMarkup, {\n\t\t\t\t...translateRelative(activeMarkup, activeMarkupComputed, translation)\n\t\t\t});\n\t\t};\n\n\t\tconst toAutoHeight = sizeFrom => {\n\t\t\t// -> switch to auto height mode\n\t\t\tconst sizeTo = sizeCreate(cache.width || activeMarkupComputed.width || shapeTextSize.width, shapeTextSize.height);\n\n\t\t\tconst textAlign = cache.textAlign || 'left';\n\n\t\t\t// this will change dimensions so if rotated we have to calculate new position\n\t\t\tconst translation = getShapeSizeTranslation(rectCreate(activeMarkupComputed.x, activeMarkupComputed.y, sizeFrom.width, sizeFrom.height), rectCreate(activeMarkupComputed.x, activeMarkupComputed.y, sizeTo.width, sizeTo.height), activeMarkupComputed, `top ${textAlign}`);\n\n\t\t\t// switch to auto-height mode\n\t\t\tremoveMarkupShapeProps(activeMarkup, ['height']);\n\n\t\t\t// update position based on size translation\n\t\t\tupdateMarkupShape(activeMarkup, {\n\t\t\t\t...translateRelative(activeMarkup, activeMarkupComputed, translation),\n\t\t\t\twidth: isString(activeMarkup.width)\n\t\t\t\t? toPercentage(sizeTo.width, parentRect.width)\n\t\t\t\t: sizeTo.width,\n\t\t\t\ttextAlign\n\t\t\t});\n\t\t};\n\n\t\tconst toFixedSize = sizeFrom => {\n\t\t\t// this can change dimensions so we need to recalculate position\n\t\t\tconst sizeTo = sizeCreate(cache.width || shapeTextSize.width, cache.height || shapeTextSize.height);\n\n\t\t\tconst textAlign = cache.textAlign || 'left';\n\n\t\t\t// this will change dimensions so if rotated we have to calculate new position\n\t\t\tconst translation = getShapeSizeTranslation(rectCreate(activeMarkupComputed.x, activeMarkupComputed.y, sizeFrom.width, sizeFrom.height), rectCreate(activeMarkupComputed.x, activeMarkupComputed.y, sizeTo.width, sizeTo.height), activeMarkupComputed, `top ${textAlign}`);\n\n\t\t\t// switch to fixed box, use stored alignment or default to left text align\n\t\t\tupdateMarkupShape(activeMarkup, {\n\t\t\t\t...translateRelative(activeMarkup, activeMarkupComputed, translation),\n\t\t\t\twidth: isString(activeMarkup.width)\n\t\t\t\t? toPercentage(sizeTo.width, parentRect.width)\n\t\t\t\t: sizeTo.width,\n\t\t\t\theight: isString(activeMarkup.width)\n\t\t\t\t? toPercentage(sizeTo.height, parentRect.height)\n\t\t\t\t: sizeTo.height,\n\t\t\t\ttextAlign\n\t\t\t});\n\t\t};\n\n\t\tif (isFixedBox) {\n\t\t\t// store size so we can restore it later\n\t\t\tcache.textAlign = activeMarkup.textAlign;\n\n\t\t\tcache.width = activeMarkupComputed.width;\n\t\t\tcache.height = activeMarkupComputed.height;\n\t\t\tconst sizeFrom = sizeCreate(activeMarkupComputed.width, activeMarkupComputed.height);\n\n\t\t\tif (shapeCanChangeTextLayout(activeMarkup, 'auto-height')) {\n\t\t\t\ttoAutoHeight(sizeFrom);\n\t\t\t} else if (shapeCanChangeTextLayout(activeMarkup, 'auto-width')) {\n\t\t\t\ttoAutoWidth(sizeFrom);\n\t\t\t}\n\t\t} else if (isAutoHeightBox) {\n\t\t\t// store alignment so we can restore it later\n\t\t\tcache.textAlign = activeMarkup.textAlign;\n\n\t\t\tcache.width = activeMarkupComputed.width;\n\n\t\t\t// -> switch to auto width\n\t\t\tconst sizeFrom = sizeCreate(activeMarkupComputed.width, shapeTextSize.height);\n\n\t\t\tif (shapeCanChangeTextLayout(activeMarkup, 'auto-width')) {\n\t\t\t\ttoAutoWidth(sizeFrom);\n\t\t\t} else if (shapeCanChangeTextLayout(activeMarkup, 'fixed-size')) {\n\t\t\t\ttoFixedSize(sizeFrom);\n\t\t\t}\n\t\t} else {\n\t\t\t// -> switch to fixed size or auto height\n\t\t\tcache.textAlign = activeMarkup.textAlign;\n\n\t\t\tconst sizeFrom = sizeCreate(Math.ceil(shapeTextSize.width), Math.ceil(shapeTextSize.height));\n\n\t\t\tif (shapeCanChangeTextLayout(activeMarkup, 'fixed-size')) {\n\t\t\t\ttoFixedSize(sizeFrom);\n\t\t\t} else if (shapeCanChangeTextLayout(activeMarkup, 'auto-height')) {\n\t\t\t\ttoAutoHeight(sizeFrom);\n\t\t\t}\n\t\t}\n\t};\n\n\tconst handleFlipX = e => {\n\t\te.stopPropagation();\n\t\tconst flipX = activeMarkup.flipX || false;\n\t\tupdateMarkupShapeProperty(activeMarkup, 'flipX', !flipX);\n\t\tonupdateshape(activeMarkup);\n\t};\n\n\tconst handleFlipY = e => {\n\t\te.stopPropagation();\n\t\tconst flipY = activeMarkup.flipY || false;\n\t\tupdateMarkupShapeProperty(activeMarkup, 'flipY', !flipY);\n\t\tonupdateshape(activeMarkup);\n\t};\n\n\tconst handleAdjustOpacity = value => {\n\t\tupdateMarkupShapeProperty(activeMarkup, 'opacity', value);\n\t};\n\n\tconst handleConfirmOpacity = value => {\n\t\thandleAdjustOpacity(value);\n\t\tonupdateshape(activeMarkup);\n\t};\n\n\tconst handleRemoveActiveMarkup = e => {\n\t\te.stopPropagation();\n\t\te.target.blur(); // cancels focus of remove button\n\t\tremoveActiveMarkupItem();\n\t};\n\n\tconst handleMoveToFrontActiveMarkup = e => {\n\t\te.stopPropagation();\n\n\t\t// test if is not already at top of stack, if so, exit\n\t\tconst index = markup.findIndex(shape => shape === activeMarkup);\n\n\t\tif (index === markup.length - 1) return;\n\n\t\t// add to last index\n\t\t$$invalidate(0, markup = markup.filter(markupItem => markupItem !== activeMarkup).concat([activeMarkup]));\n\n\t\tonupdateshape(activeMarkup);\n\t};\n\n\tconst handleDuplicateActiveMarkup = e => {\n\t\te.stopPropagation();\n\t\tduplicateActiveMarkup();\n\t};\n\n\tconst duplicateActiveMarkup = () => {\n\t\t// create clone\n\t\tconst clone = shapeDeepCopy(activeMarkup);\n\n\t\tclone.id = getUniqueId();\n\t\tconst duplicationOffset = vectorCreate(50, -50);\n\n\t\t// offset\n\t\tif (hasProp(clone, 'points')) {\n\t\t\tconst computedProps = shapeGetPropsPixelValues(clone, ['points'], parentRect);\n\n\t\t\tcomputedProps.points.forEach(point => {\n\t\t\t\tpoint.x += duplicationOffset.x;\n\t\t\t\tpoint.y += duplicationOffset.y;\n\t\t\t});\n\n\t\t\tshapeUpdateProps(clone, computedProps, parentRect);\n\t\t} else if (shapeIsLine(clone)) {\n\t\t\tconst computedProps = shapeGetPropsPixelValues(clone, ['x1', 'y1', 'x2', 'y2'], parentRect);\n\t\t\tcomputedProps.x1 += duplicationOffset.x;\n\t\t\tcomputedProps.y1 += duplicationOffset.y;\n\t\t\tcomputedProps.x2 += duplicationOffset.x;\n\t\t\tcomputedProps.y2 += duplicationOffset.y;\n\t\t\tshapeUpdateProps(clone, computedProps, parentRect);\n\t\t} else {\n\t\t\tconst currentPosition = shapeGetPropsPixelValues(clone, ['x', 'y'], parentRect);\n\t\t\tcurrentPosition.x += 50;\n\t\t\tcurrentPosition.y -= 50;\n\t\t\tshapeUpdateProps(clone, currentPosition, parentRect);\n\t\t}\n\n\t\t// add clone\n\t\tmarkup.push(clone);\n\n\t\t// added\n\t\tonaddshape(clone);\n\n\t\t// select clone\n\t\tselectShape(clone);\n\t};\n\n\t//#endregion\n\tconst getMarkupControlsAnchorPosition = rect => vectorApply(vectorCreate(rect.x + rect.width * 0.5, rect.y), snapToPixel);\n\n\t//\n\t// show & position markup controls panel\n\t//\n\tconst markupControlsOpacity = spring(0, { stiffness: 0.2, damping: 0.7 });\n\n\tcomponent_subscribe($$self, markupControlsOpacity, value => $$invalidate(17, $markupControlsOpacity = value));\n\tlet shapeControlsSize;\n\n\tconst getShapeControlPositionOnCanvas = position => {\n\t\tconst left = utilRect.x;\n\t\tconst top = utilRect.y;\n\t\tconst right = left + utilRect.width;\n\t\tlet x = Math.max(position.x - shapeControlsSize.width * 0.5, left);\n\t\tlet y = Math.max(position.y - shapeControlsSize.height - shapeControlDist, top);\n\t\tif (x + shapeControlsSize.width > right) x = right - shapeControlsSize.width;\n\t\treturn vectorCreate(x, y);\n\t};\n\n\tconst TextLayoutChangeIcon = (locale, shape) => {\n\t\tconst { disableTextLayout = [] } = shape;\n\n\t\t// is fixed size\n\t\tif ('height' in shape) {\n\t\t\tif (disableTextLayout.includes('auto-height')) {\n\t\t\t\t// next is auto-width, no need to set as is empty\n\t\t\t\treturn locale.shapeIconButtonTextLayoutAutoWidth;\n\t\t\t} else {\n\t\t\t\t// next is auto-height\n\t\t\t\treturn locale.shapeIconButtonTextLayoutAutoHeight;\n\t\t\t}\n\t\t} else // is auto-height\n\t\tif ('width' in shape) {\n\t\t\tif (disableTextLayout.includes('auto-width')) {\n\t\t\t\t// next is fixed-size\n\t\t\t\treturn locale.shapeIconButtonTextLayoutFixedSize;\n\t\t\t} else {\n\t\t\t\t// next is auto-width, no need to set as is empty\n\t\t\t\treturn locale.shapeIconButtonTextLayoutAutoWidth;\n\t\t\t}\n\t\t} else // is auto-width\n\t\t{\n\t\t\t// next is fixed-size\n\t\t\tif (disableTextLayout.includes('fixed-size')) {\n\t\t\t\t// next is fixed-size\n\t\t\t\treturn locale.shapeIconButtonTextLayoutAutoHeight;\n\t\t\t} else {\n\t\t\t\t// next is auto-width, no need to set as is empty\n\t\t\t\treturn locale.shapeIconButtonTextLayoutFixedSize;\n\t\t\t}\n\t\t}\n\t};\n\n\tconst TextLayoutChangeLabel = (locale, shape) => {\n\t\tconst { disableTextLayout = [] } = shape;\n\n\t\t// is fixed size\n\t\tif ('height' in shape) {\n\t\t\tif (disableTextLayout.includes('auto-height')) {\n\t\t\t\t// next is auto-width, no need to set as is empty\n\t\t\t\treturn locale.shapeTitleButtonTextLayoutAutoWidth;\n\t\t\t} else {\n\t\t\t\t// next is auto-height\n\t\t\t\treturn locale.shapeTitleButtonTextLayoutAutoHeight;\n\t\t\t}\n\t\t} else // is auto-height\n\t\tif ('width' in shape) {\n\t\t\tif (disableTextLayout.includes('auto-width')) {\n\t\t\t\t// next is fixed-size\n\t\t\t\treturn locale.shapeTitleButtonTextLayoutFixedSize;\n\t\t\t} else {\n\t\t\t\t// next is auto-width, no need to set as is empty\n\t\t\t\treturn locale.shapeTitleButtonTextLayoutAutoWidth;\n\t\t\t}\n\t\t} else // is auto-width\n\t\t{\n\t\t\t// next is fixed-size\n\t\t\tif (disableTextLayout.includes('fixed-size')) {\n\t\t\t\t// next is fixed-size\n\t\t\t\treturn locale.shapeTitleButtonTextLayoutAutoHeight;\n\t\t\t} else {\n\t\t\t\t// next is auto-width, no need to set as is empty\n\t\t\t\treturn locale.shapeTitleButtonTextLayoutFixedSize;\n\t\t\t}\n\t\t}\n\t};\n\n\tconst handleNudge = e => {\n\t\tconst shape = getActiveMarkupItem();\n\t\tif (!shape) return;\n\t\tif (shapeIsTextEditing(shape)) return;\n\t\tif (!shapeCanMove(shape)) return;\n\t\tinteractionShape = shape;\n\t\tinteractionShapeOriginComputed = shapeComputeDisplay(shapeDeepCopy(interactionShape), parentRect);\n\t\ttranslateShape(interactionShape, interactionShapeOriginComputed, e.detail);\n\t};\n\n\t// shape navigator\n\tlet showShapeList = false;\n\n\tconst handleFocusIn = e => {\n\t\t$$invalidate(18, showShapeList = true);\n\t};\n\n\tconst handleFocusOut = ({ relatedTarget }) => {\n\t\t// still in list\n\t\tif (relatedTarget && relatedTarget.classList.contains('shape-selector__button')) return;\n\n\t\t$$invalidate(18, showShapeList = false);\n\t};\n\n\t// change cursor style\n\tlet lastImagePosition = vectorCreateEmpty();\n\n\tlet pointerPositionInEditor = undefined;\n\n\tconst handlePointerMove = e => {\n\t\t// not handled for touch interaction\n\t\tif (e.pointerType === 'touch') return;\n\n\t\t// if interactionTimer is set an interaction was started\n\t\tif (isInteracting || interactionTimer) setHoverShape(undefined);\n\n\t\tconst editorPosition = getEventPositionInEditor(e, rootRect);\n\t\tconst imagePosition = vectorApply(mapEditorPointToImagePoint(editorPosition), v => Math.round(v));\n\t\tif (vectorEqual(imagePosition, lastImagePosition)) return;\n\t\tlastImagePosition = vectorClone(imagePosition);\n\t\t$$invalidate(122, pointerPositionInEditor = editorPosition);\n\t\tif (isInteracting || interactionTimer) return;\n\t\tonhovercanvas(editorPosition, imagePosition);\n\n\t\t// no hover effect when creating markup\n\t\tif (activeMarkupItemIsDraft) return;\n\n\t\tconst [shape] = getShapesNearPosition(imagePosition, 0, shapeCanSelect);\n\n\t\t// can't hover draft\n\t\tif (shape && shapeIsDraft(shape)) return;\n\n\t\tsetHoverShape(shape);\n\t};\n\n\tconst setHoverShape = shape => {\n\t\t// let others know we're hovering this shape\n\t\tonhovershape(shape);\n\n\t\t// update interface\n\t\t$$invalidate(121, hoverShape = shape);\n\t};\n\n\t// clean up\n\tonDestroy(() => {\n\t\t// clean up invisible lines\n\t\tremoveMarkupManipulatorLines();\n\n\t\t// clean up hover lines\n\t\thideHover();\n\t});\n\n\t// element ref\n\tlet element;\n\n\tfunction measure_handler(event) {\n\t\tbubble.call(this, $$self, event);\n\t}\n\n\tconst click_handler = index => selectShape(markup[index]);\n\n\tfunction textarea_binding($$value) {\n\t\tbinding_callbacks[$$value ? 'unshift' : 'push'](() => {\n\t\t\ttextInput = $$value;\n\t\t\t$$invalidate(8, textInput);\n\t\t});\n\t}\n\n\tfunction textarea_input_handler() {\n\t\ttextInputText = this.value;\n\t\t((((($$invalidate(23, textInputText), $$invalidate(11, shouldRenderTextInput)), $$invalidate(125, activeMarkup)), $$invalidate(143, isTextMarkupSelected)), $$invalidate(1, disabled)), $$invalidate(0, markup));\n\t}\n\n\tfunction contenteditable_binding($$value) {\n\t\tbinding_callbacks[$$value ? 'unshift' : 'push'](() => {\n\t\t\ttextInput = $$value;\n\t\t\t$$invalidate(8, textInput);\n\t\t});\n\t}\n\n\tconst focusout_handler = () => {\n\t\t// need to focus root shape editor node as otherwise next escape press closes modal when in modal\n\t\telement && element.focus();\n\t};\n\n\tconst measure_handler_1 = e => $$invalidate(9, shapeControlsSize = e.detail);\n\n\tfunction div_binding($$value) {\n\t\tbinding_callbacks[$$value ? 'unshift' : 'push'](() => {\n\t\t\telement = $$value;\n\t\t\t$$invalidate(19, element);\n\t\t});\n\t}\n\n\tconst interactable_function_1 = e => getEventPositionInEditor(e, rootRect);\n\n\t$$self.$$set = $$props => {\n\t\tif ('uid' in $$props) $$invalidate(56, uid = $$props.uid);\n\t\tif ('ui' in $$props) $$invalidate(55, ui = $$props.ui);\n\t\tif ('disabled' in $$props) $$invalidate(1, disabled = $$props.disabled);\n\t\tif ('markup' in $$props) $$invalidate(0, markup = $$props.markup);\n\t\tif ('offset' in $$props) $$invalidate(2, offset = $$props.offset);\n\t\tif ('contextRotation' in $$props) $$invalidate(57, contextRotation = $$props.contextRotation);\n\t\tif ('contextFlipX' in $$props) $$invalidate(58, contextFlipX = $$props.contextFlipX);\n\t\tif ('contextFlipY' in $$props) $$invalidate(59, contextFlipY = $$props.contextFlipY);\n\t\tif ('contextZoom' in $$props) $$invalidate(60, contextZoom = $$props.contextZoom);\n\t\tif ('active' in $$props) $$invalidate(61, active = $$props.active);\n\t\tif ('opacity' in $$props) $$invalidate(62, opacity = $$props.opacity);\n\t\tif ('parentRect' in $$props) $$invalidate(63, parentRect = $$props.parentRect);\n\t\tif ('rootRect' in $$props) $$invalidate(3, rootRect = $$props.rootRect);\n\t\tif ('utilRect' in $$props) $$invalidate(64, utilRect = $$props.utilRect);\n\t\tif ('hoverColor' in $$props) $$invalidate(65, hoverColor = $$props.hoverColor);\n\t\tif ('textInputMode' in $$props) $$invalidate(4, textInputMode = $$props.textInputMode);\n\t\tif ('oninteractionstart' in $$props) $$invalidate(66, oninteractionstart = $$props.oninteractionstart);\n\t\tif ('oninteractionupdate' in $$props) $$invalidate(67, oninteractionupdate = $$props.oninteractionupdate);\n\t\tif ('oninteractionrelease' in $$props) $$invalidate(68, oninteractionrelease = $$props.oninteractionrelease);\n\t\tif ('oninteractionend' in $$props) $$invalidate(69, oninteractionend = $$props.oninteractionend);\n\t\tif ('oninteractioncancel' in $$props) $$invalidate(70, oninteractioncancel = $$props.oninteractioncancel);\n\t\tif ('onaddshape' in $$props) $$invalidate(71, onaddshape = $$props.onaddshape);\n\t\tif ('onupdateshape' in $$props) $$invalidate(72, onupdateshape = $$props.onupdateshape);\n\t\tif ('onselectshape' in $$props) $$invalidate(73, onselectshape = $$props.onselectshape);\n\t\tif ('onremoveshape' in $$props) $$invalidate(74, onremoveshape = $$props.onremoveshape);\n\t\tif ('ontapshape' in $$props) $$invalidate(75, ontapshape = $$props.ontapshape);\n\t\tif ('onhovershape' in $$props) $$invalidate(76, onhovershape = $$props.onhovershape);\n\t\tif ('onhovercanvas' in $$props) $$invalidate(77, onhovercanvas = $$props.onhovercanvas);\n\t\tif ('ontapcanvas' in $$props) $$invalidate(78, ontapcanvas = $$props.ontapcanvas);\n\t\tif ('beforeSelectShape' in $$props) $$invalidate(79, beforeSelectShape = $$props.beforeSelectShape);\n\t\tif ('beforeDeselectShape' in $$props) $$invalidate(80, beforeDeselectShape = $$props.beforeDeselectShape);\n\t\tif ('beforeRemoveShape' in $$props) $$invalidate(81, beforeRemoveShape = $$props.beforeRemoveShape);\n\t\tif ('beforeUpdateShape' in $$props) $$invalidate(82, beforeUpdateShape = $$props.beforeUpdateShape);\n\t\tif ('willRenderShapeControls' in $$props) $$invalidate(83, willRenderShapeControls = $$props.willRenderShapeControls);\n\t\tif ('willRenderShapeTextControls' in $$props) $$invalidate(84, willRenderShapeTextControls = $$props.willRenderShapeTextControls);\n\t\tif ('willStartInteraction' in $$props) $$invalidate(85, willStartInteraction = $$props.willStartInteraction);\n\t\tif ('mapEditorPointToImagePoint' in $$props) $$invalidate(86, mapEditorPointToImagePoint = $$props.mapEditorPointToImagePoint);\n\t\tif ('mapImagePointToEditorPoint' in $$props) $$invalidate(87, mapImagePointToEditorPoint = $$props.mapImagePointToEditorPoint);\n\t\tif ('eraseRadius' in $$props) $$invalidate(88, eraseRadius = $$props.eraseRadius);\n\t\tif ('selectRadius' in $$props) $$invalidate(89, selectRadius = $$props.selectRadius);\n\t\tif ('enableButtonFlipVertical' in $$props) $$invalidate(90, enableButtonFlipVertical = $$props.enableButtonFlipVertical);\n\t\tif ('enableTapToAddText' in $$props) $$invalidate(91, enableTapToAddText = $$props.enableTapToAddText);\n\t\tif ('enableTextStyleControls' in $$props) $$invalidate(5, enableTextStyleControls = $$props.enableTextStyleControls);\n\t\tif ('locale' in $$props) $$invalidate(6, locale = $$props.locale);\n\t};\n\n\t$$self.$$.update = () => {\n\t\tif ($$self.$$.dirty[0] & /*disabled, markup*/ 3) {\n\t\t\t$$invalidate(125, activeMarkup = !disabled && markup && (getMarkupItemDraft() || getActiveMarkupItem()));\n\t\t}\n\n\t\tif ($$self.$$.dirty[4] & /*activeMarkup*/ 2) {\n\t\t\t$$invalidate(148, activeMarkupSelected = !!activeMarkup);\n\t\t}\n\n\t\tif ($$self.$$.dirty[4] & /*activeMarkup*/ 2) {\n\t\t\t$$invalidate(139, activeShapeIsDraft = activeMarkup && shapeIsDraft(activeMarkup));\n\t\t}\n\n\t\tif ($$self.$$.dirty[4] & /*activeMarkup, activeShapeIsDraft*/ 32770) {\n\t\t\t$$invalidate(10, activeShapeId = activeMarkup && !activeShapeIsDraft\n\t\t\t? activeMarkup.id\n\t\t\t: undefined);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*rootRect*/ 8 | $$self.$$.dirty[2] & /*parentRect*/ 2 | $$self.$$.dirty[4] & /*activeMarkup*/ 2) {\n\t\t\t// rootRect is in there so it recomputes the shape when the editor is resized\n\t\t\t$$invalidate(13, activeMarkupComputed = rootRect && activeMarkup && shapeComputeDisplay(shapeDeepCopy(activeMarkup), parentRect));\n\t\t}\n\n\t\tif ($$self.$$.dirty[4] & /*activeMarkup, activeShapeIsDraft*/ 32770) {\n\t\t\t$$invalidate(123, activeMarkupItemIsDraft = !!(activeMarkup && activeShapeIsDraft));\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*activeMarkupComputed*/ 8192 | $$self.$$.dirty[2] & /*opacity*/ 1 | $$self.$$.dirty[4] & /*activeMarkup*/ 2) {\n\t\t\t// $: shapeProps = activeMarkup || undefined;\n\t\t\t// TODO: we use opacity to trigger a redraw of the active points, this should be changed to the image zoom factor in a future release\n\t\t\t//  && !shapeIsPath(activeMarkupComputed)\n\t\t\t$$invalidate(147, shapeActivePoints = activeMarkup && opacity && getMarkupShapePoints(activeMarkupComputed) || []);\n\t\t}\n\n\t\tif ($$self.$$.dirty[4] & /*activeMarkup*/ 2) {\n\t\t\t$$invalidate(149, allowResizeControls = activeMarkup && shapeCanResize(activeMarkup) && !shapeIsTextEditing(activeMarkup));\n\t\t}\n\n\t\tif ($$self.$$.dirty[4] & /*activeMarkup*/ 2) {\n\t\t\t$$invalidate(14, allowRotateControls = activeMarkup && shapeCanRotate(activeMarkup) && !shapeIsTextEditing(activeMarkup));\n\t\t}\n\n\t\tif ($$self.$$.dirty[4] & /*allowResizeControls, activeMarkup*/ 33554434) {\n\t\t\t$$invalidate(16, allowEdgeControls = allowResizeControls && hasProp(activeMarkup, 'text') && !activeMarkup.height\n\t\t\t? [[1, 2], [3, 0]]\n\t\t\t: activeMarkup && (shapeIsLine(activeMarkup) || shapeIsPath(activeMarkup))\n\t\t\t\t? false\n\t\t\t\t: allowResizeControls);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*allowEdgeControls*/ 65536 | $$self.$$.dirty[4] & /*activeMarkup, allowResizeControls*/ 33554434) {\n\t\t\t$$invalidate(28, allowCornerControls = activeMarkup\n\t\t\t? Array.isArray(allowEdgeControls)\n\t\t\t\t? false\n\t\t\t\t: allowResizeControls\n\t\t\t: false);\n\t\t}\n\n\t\tif ($$self.$$.dirty[4] & /*activeMarkup, shapeActivePoints*/ 8388610) {\n\t\t\t$$invalidate(15, shouldRenderShapeManipulator = activeMarkup && shapeActivePoints.length > 1);\n\t\t}\n\n\t\tif ($$self.$$.dirty[2] & /*mapImagePointToEditorPoint*/ 33554432 | $$self.$$.dirty[4] & /*shapeActivePoints*/ 8388608) {\n\t\t\t$$invalidate(145, shapeActiveScreenPoints = shapeActivePoints.map(mapImagePointToEditorPoint));\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*offset*/ 4 | $$self.$$.dirty[4] & /*shapeActiveScreenPoints*/ 2097152) {\n\t\t\t$$invalidate(12, shapeManipulatorPoints = shapeActiveScreenPoints.map(point => vectorCreate(point.x - offset.x, point.y - offset.y)));\n\t\t}\n\n\t\tif ($$self.$$.dirty[4] & /*activeMarkupSelected, activeMarkup*/ 16777218) {\n\t\t\t$$invalidate(27, shapeAllowNewline = activeMarkupSelected && (shapeIsTextBox(activeMarkup)\n\t\t\t? // has selected text box, if text box has disableNewline property, follow setting, else allow new lines\n\t\t\t\thasProp(activeMarkup, 'disableNewline')\n\t\t\t\t? !activeMarkup.disableNewline\n\t\t\t\t: true\n\t\t\t: // has selected something else, only disable new lines if disableNewline is explicitly set to false\n\t\t\t\tactiveMarkup.disableNewline === false));\n\t\t}\n\n\t\tif ($$self.$$.dirty[2] & /*mapImagePointToEditorPoint*/ 33554432 | $$self.$$.dirty[3] & /*hoverShape*/ 268435456) {\n\t\t\thoverShape && mapImagePointToEditorPoint && !shapeIsSelected(hoverShape) && shapeCanSelect(hoverShape)\n\t\t\t? showHover(hoverShape)\n\t\t\t: hideHover();\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*shouldRenderShapeManipulator, allowRotateControls, shapeManipulatorPoints, activeMarkupComputed*/ 61440 | $$self.$$.dirty[2] & /*opacity*/ 1) {\n\t\t\t// TODO: we use opacity to trigger a redraw of the active points,\n\t\t\t// this should be changed to the image zoom factor in a future release\n\t\t\t$$invalidate(146, shapeManipulatorRotationPoint = shouldRenderShapeManipulator && allowRotateControls && opacity && shapeManipulatorPoints && getShapeRotationPointOnScreen(activeMarkupComputed));\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*offset*/ 4 | $$self.$$.dirty[4] & /*shapeManipulatorRotationPoint*/ 4194304) {\n\t\t\t$$invalidate(26, shapeManipulatorRotationPointPosition = shapeManipulatorRotationPoint && vectorCreate(shapeManipulatorRotationPoint.position.x - offset.x, shapeManipulatorRotationPoint.position.y - offset.y));\n\t\t}\n\n\t\tif ($$self.$$.dirty[3] & /*pointerPositionInEditor*/ 536870912 | $$self.$$.dirty[4] & /*activeShapeIsDraft, activeMarkup*/ 32770) {\n\t\t\t$$invalidate(144, currentPointerPosition = activeShapeIsDraft && shapeIsPath(activeMarkup) && pointerPositionInEditor);\n\t\t}\n\n\t\tif ($$self.$$.dirty[2] & /*opacity*/ 1 | $$self.$$.dirty[4] & /*activeMarkup, shapeActiveScreenPoints, currentPointerPosition*/ 3145730) {\n\t\t\t// add contextPresentationRect so we redraw active markup each frame\n\t\t\tif (activeMarkup && shapeActiveScreenPoints && opacity > 0) {\n\t\t\t\tredrawManipulatorLines(opacity, activeMarkup, currentPointerPosition);\n\t\t\t}\n\t\t}\n\n\t\tif ($$self.$$.dirty[4] & /*activeMarkup*/ 2) {\n\t\t\tif (!activeMarkup) {\n\t\t\t\tremoveMarkupManipulatorLines();\n\t\t\t}\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*active*/ 1073741824) {\n\t\t\ttogglePrerender(active);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*textInput, textInputMode*/ 272) {\n\t\t\t// auto focus text input when created and in inline mode\n\t\t\tif (textInput && textInputMode === 'inline') textInput.focus();\n\t\t}\n\n\t\tif ($$self.$$.dirty[4] & /*activeMarkup*/ 2) {\n\t\t\t$$invalidate(143, isTextMarkupSelected = activeMarkup && shapeIsText(activeMarkup));\n\t\t}\n\n\t\tif ($$self.$$.dirty[4] & /*isTextMarkupSelected, activeMarkup*/ 524290) {\n\t\t\t$$invalidate(11, shouldRenderTextInput = isTextMarkupSelected && shapeCanInput(activeMarkup) !== false && shapeIsTextEditing(activeMarkup));\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*shouldRenderTextInput*/ 2048) {\n\t\t\t$$invalidate(138, textShapeOrigin = shouldRenderTextInput\n\t\t\t? getTextShapeOriginSnapshot()\n\t\t\t: undefined);\n\t\t}\n\n\t\tif ($$self.$$.dirty[2] & /*parentRect*/ 2 | $$self.$$.dirty[4] & /*textShapeOrigin*/ 16384) {\n\t\t\t$$invalidate(140, textShapeDisplayOrigin = textShapeOrigin && shapeComputeDisplay({ ...textShapeOrigin }, parentRect));\n\t\t}\n\n\t\tif ($$self.$$.dirty[4] & /*textShapeDisplayOrigin*/ 65536) {\n\t\t\t$$invalidate(142, textSizeDisplayOrigin = textShapeDisplayOrigin && textToSize(textShapeDisplayOrigin.text, textShapeDisplayOrigin));\n\t\t}\n\n\t\tif ($$self.$$.dirty[4] & /*textShapeDisplayOrigin, textSizeDisplayOrigin*/ 327680) {\n\t\t\ttextRectDisplayOrigin = textShapeDisplayOrigin && rectCreate(textShapeDisplayOrigin.x, textShapeDisplayOrigin.y, textSizeDisplayOrigin.width, textSizeDisplayOrigin.height);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*shouldRenderTextInput*/ 2048 | $$self.$$.dirty[4] & /*activeMarkup*/ 2) {\n\t\t\t$$invalidate(23, textInputText = shouldRenderTextInput ? activeMarkup.text : '');\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*rootRect, shouldRenderTextInput*/ 2056 | $$self.$$.dirty[2] & /*parentRect*/ 2 | $$self.$$.dirty[4] & /*activeMarkup*/ 2) {\n\t\t\t$$invalidate(141, activeTextShapeComputed = rootRect && activeMarkup && shouldRenderTextInput && shapeComputeDisplay(\n\t\t\t\t{\n\t\t\t\t\t...shapeDeepCopy(activeMarkup),\n\t\t\t\t\t// this is the same as how canvas floors shape width/height\n\t\t\t\t\twidth: isNumber(activeMarkup.width)\n\t\t\t\t\t? Math.floor(activeMarkup.width)\n\t\t\t\t\t: undefined,\n\t\t\t\t\theight: isNumber(activeMarkup.height)\n\t\t\t\t\t? Math.floor(activeMarkup.height)\n\t\t\t\t\t: undefined\n\t\t\t\t},\n\t\t\t\tparentRect\n\t\t\t));\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*shouldRenderTextInput, textInputMode*/ 2064 | $$self.$$.dirty[4] & /*activeTextShapeComputed*/ 131072) {\n\t\t\t$$invalidate(25, textInputTextStyles = shouldRenderTextInput && getTextInputTextStyles(activeTextShapeComputed, textInputMode));\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*shouldRenderTextInput, offset*/ 2052 | $$self.$$.dirty[1] & /*contextZoom, contextRotation*/ 603979776 | $$self.$$.dirty[4] & /*activeTextShapeComputed*/ 131072) {\n\t\t\t$$invalidate(24, textInputPositionStyles = shouldRenderTextInput && getTextInputPositionStyles(activeTextShapeComputed, offset, contextZoom, contextRotation));\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*shouldRenderTextInput, textInput, textInputMode*/ 2320) {\n\t\t\tif (shouldRenderTextInput && textInput && textInputMode === 'inline') syncTextInput();\n\t\t}\n\n\t\tif ($$self.$$.dirty[3] & /*activeMarkupItemIsDraft*/ 1073741824 | $$self.$$.dirty[4] & /*activeMarkup, controlledMarkupItem*/ 34) {\n\t\t\t$$invalidate(129, controlledMarkupItem = activeMarkup && !activeMarkupItemIsDraft\n\t\t\t? activeMarkup\n\t\t\t: controlledMarkupItem);\n\t\t}\n\n\t\tif ($$self.$$.dirty[4] & /*controlledMarkupItem*/ 32) {\n\t\t\t$$invalidate(131, allowShapeFlip = controlledMarkupItem && shapeCanFlip(controlledMarkupItem));\n\t\t}\n\n\t\tif ($$self.$$.dirty[4] & /*controlledMarkupItem*/ 32) {\n\t\t\t$$invalidate(126, allowShapeChangeTextLayout = controlledMarkupItem && shapeCanChangeTextLayout(controlledMarkupItem));\n\t\t}\n\n\t\tif ($$self.$$.dirty[4] & /*controlledMarkupItem*/ 32) {\n\t\t\t$$invalidate(128, allowShapeDuplicate = controlledMarkupItem && shapeCanDuplicate(controlledMarkupItem));\n\t\t}\n\n\t\tif ($$self.$$.dirty[4] & /*controlledMarkupItem*/ 32) {\n\t\t\t$$invalidate(127, allowShapeRemove = controlledMarkupItem && shapeCanRemove(controlledMarkupItem));\n\t\t}\n\n\t\tif ($$self.$$.dirty[4] & /*controlledMarkupItem*/ 32) {\n\t\t\t$$invalidate(130, allowShapeReorder = controlledMarkupItem && shapeCanReorder(controlledMarkupItem));\n\t\t}\n\n\t\tif ($$self.$$.dirty[4] & /*controlledMarkupItem*/ 32) {\n\t\t\t$$invalidate(124, allowShapeInput = controlledMarkupItem && shapeCanInput(controlledMarkupItem) !== false);\n\t\t}\n\n\t\tif ($$self.$$.dirty[4] & /*controlledMarkupItem*/ 32) {\n\t\t\t$$invalidate(132, allowShapeAdjustOpacity = controlledMarkupItem && hasProp(controlledMarkupItem, 'backgroundImage') && shapeCanStyle(controlledMarkupItem, 'opacity'));\n\t\t}\n\n\t\tif ($$self.$$.dirty[4] & /*activeMarkup*/ 2) {\n\t\t\t$$invalidate(134, allowShapeStyleText = activeMarkup && activeMarkup.format === 'html');\n\t\t}\n\n\t\tif ($$self.$$.dirty[3] & /*activeMarkupItemIsDraft*/ 1073741824 | $$self.$$.dirty[4] & /*activeMarkup, allowShapeStyleText*/ 1026) {\n\t\t\t$$invalidate(137, shouldShowMarkupControls = activeMarkup && (!activeMarkupItemIsDraft || allowShapeStyleText));\n\t\t}\n\n\t\tif ($$self.$$.dirty[3] & /*isInteracting*/ 134217728 | $$self.$$.dirty[4] & /*shouldShowMarkupControls, $isAnimated*/ 67117056) {\n\t\t\t// show controls if markup is active, but not in draft mode, except for when editing text\n\t\t\tmarkupControlsOpacity.set(shouldShowMarkupControls && !isInteracting ? 1 : 0, { hard: $isAnimated === false });\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*shapeManipulatorPoints*/ 4096 | $$self.$$.dirty[4] & /*shouldShowMarkupControls, markupControlsAnchorPosition*/ 12288) {\n\t\t\t$$invalidate(136, markupControlsAnchorPosition = shouldShowMarkupControls && shapeManipulatorPoints.length\n\t\t\t? getMarkupControlsAnchorPosition(rectCreateFromPoints(shapeManipulatorPoints))\n\t\t\t: markupControlsAnchorPosition);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*shapeControlsSize*/ 512 | $$self.$$.dirty[2] & /*utilRect*/ 4 | $$self.$$.dirty[4] & /*markupControlsAnchorPosition*/ 4096) {\n\t\t\t$$invalidate(135, shapeControlsPosition = markupControlsAnchorPosition && shapeControlsSize && utilRect && getShapeControlPositionOnCanvas(markupControlsAnchorPosition));\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*$markupControlsOpacity*/ 131072 | $$self.$$.dirty[4] & /*shapeControlsPosition*/ 2048) {\n\t\t\t$$invalidate(22, markupControlsStyle = shapeControlsPosition && `transform: translate(${shapeControlsPosition.x}px, ${shapeControlsPosition.y}px);opacity:${$markupControlsOpacity}`);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*shouldRenderTextInput*/ 2048) {\n\t\t\t$$invalidate(133, shapeControlsMode = shouldRenderTextInput ? 'text' : 'shape');\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*activeShapeId, locale, markup*/ 1089 | $$self.$$.dirty[2] & /*willRenderShapeTextControls, willRenderShapeControls, enableButtonFlipVertical*/ 274726912 | $$self.$$.dirty[4] & /*shapeControlsMode, allowShapeStyleText, allowShapeAdjustOpacity, activeMarkup, allowShapeFlip, allowShapeReorder, controlledMarkupItem, allowShapeDuplicate, allowShapeRemove, allowShapeInput, allowShapeChangeTextLayout*/ 2047) {\n\t\t\t$$invalidate(21, shapeControls = // render text controls\n\t\t\tshapeControlsMode === 'text' && willRenderShapeTextControls && allowShapeStyleText\n\t\t\t? runSafe(() => willRenderShapeTextControls(\n\t\t\t\t\t[\n\t\t\t\t\t\t[\n\t\t\t\t\t\t\t'div',\n\t\t\t\t\t\t\t'text-styles',\n\t\t\t\t\t\t\t{ class: 'PinturaShapeControlsGroup' },\n\t\t\t\t\t\t\t[\n\t\t\t\t\t\t\t\t...[\n\t\t\t\t\t\t\t\t\t[\n\t\t\t\t\t\t\t\t\t\t'bold',\n\t\t\t\t\t\t\t\t\t\t{\n\t\t\t\t\t\t\t\t\t\t\tlabel: 'B',\n\t\t\t\t\t\t\t\t\t\t\tstyle: 'font-weight:900;',\n\t\t\t\t\t\t\t\t\t\t\ttitle: 'Bold',\n\t\t\t\t\t\t\t\t\t\t\tshortcut: ['CMD', 'B']\n\t\t\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\t\t],\n\t\t\t\t\t\t\t\t\t[\n\t\t\t\t\t\t\t\t\t\t'italic',\n\t\t\t\t\t\t\t\t\t\t{\n\t\t\t\t\t\t\t\t\t\t\tlabel: 'I',\n\t\t\t\t\t\t\t\t\t\t\tstyle: 'font-family:Times New Roman;font-style:italic;',\n\t\t\t\t\t\t\t\t\t\t\ttitle: 'Italic',\n\t\t\t\t\t\t\t\t\t\t\tshortcut: ['CMD', 'I']\n\t\t\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\t\t],\n\t\t\t\t\t\t\t\t\t[\n\t\t\t\t\t\t\t\t\t\t'underline',\n\t\t\t\t\t\t\t\t\t\t{\n\t\t\t\t\t\t\t\t\t\t\tlabel: 'U',\n\t\t\t\t\t\t\t\t\t\t\tstyle: 'text-decoration:underline;',\n\t\t\t\t\t\t\t\t\t\t\ttitle: 'Underline',\n\t\t\t\t\t\t\t\t\t\t\tshortcut: ['CMD', 'U']\n\t\t\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\t\t],\n\t\t\t\t\t\t\t\t\t[\n\t\t\t\t\t\t\t\t\t\t'strikeThrough',\n\t\t\t\t\t\t\t\t\t\t{\n\t\t\t\t\t\t\t\t\t\t\tlabel: 'S',\n\t\t\t\t\t\t\t\t\t\t\tstyle: 'text-decoration:line-through;',\n\t\t\t\t\t\t\t\t\t\t\ttitle: 'Strikethrough',\n\t\t\t\t\t\t\t\t\t\t\tshortcut: ['CMD', 'S']\n\t\t\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\t\t]\n\t\t\t\t\t\t\t\t].map(([style, props]) => {\n\t\t\t\t\t\t\t\t\treturn [\n\t\t\t\t\t\t\t\t\t\t'Button',\n\t\t\t\t\t\t\t\t\t\t'style-' + style,\n\t\t\t\t\t\t\t\t\t\t{\n\t\t\t\t\t\t\t\t\t\t\tonclick: () => document.execCommand(style),\n\t\t\t\t\t\t\t\t\t\t\t...props,\n\t\t\t\t\t\t\t\t\t\t\tstyle: 'font-size:1.25em;text-underline-offset:1px;text-decoration-thickness:1.5px;font-weight:400;' + props.style\n\t\t\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\t\t];\n\t\t\t\t\t\t\t\t})\n\t\t\t\t\t\t\t]\n\t\t\t\t\t\t],\n\t\t\t\t\t\t[\n\t\t\t\t\t\t\t'div',\n\t\t\t\t\t\t\t'text-reset',\n\t\t\t\t\t\t\t{ class: 'PinturaShapeControlsGroup' },\n\t\t\t\t\t\t\t[\n\t\t\t\t\t\t\t\t[\n\t\t\t\t\t\t\t\t\t'Button',\n\t\t\t\t\t\t\t\t\t'style-reset',\n\t\t\t\t\t\t\t\t\t{\n\t\t\t\t\t\t\t\t\t\tonclick: () => document.execCommand('removeFormat'),\n\t\t\t\t\t\t\t\t\t\tstyle: 'font-weight:400;',\n\t\t\t\t\t\t\t\t\t\tlabel: '<span style=\"font-size:1.25em;font-style:italic;font-family:Times New Roman;text-decoration:underline;\">T</span><span style=\"position:relative;top:.175rem;\">&times;</span>',\n\t\t\t\t\t\t\t\t\t\ttitle: 'Remove styles'\n\t\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\t]\n\t\t\t\t\t\t\t]\n\t\t\t\t\t\t]\n\t\t\t\t\t],\n\t\t\t\t\tactiveShapeId\n\t\t\t\t))\n\t\t\t: // render shape controls\n\t\t\t\tshapeControlsMode === 'shape' && willRenderShapeControls && activeShapeId\n\t\t\t\t? runSafe(() => willRenderShapeControls(\n\t\t\t\t\t\t[\n\t\t\t\t\t\t\tallowShapeAdjustOpacity && [\n\t\t\t\t\t\t\t\t'div',\n\t\t\t\t\t\t\t\t'alpha',\n\t\t\t\t\t\t\t\t{ class: 'PinturaShapeControlsGroup' },\n\t\t\t\t\t\t\t\t[\n\t\t\t\t\t\t\t\t\t[\n\t\t\t\t\t\t\t\t\t\t'Slider',\n\t\t\t\t\t\t\t\t\t\t'adjust-opacity',\n\t\t\t\t\t\t\t\t\t\t{\n\t\t\t\t\t\t\t\t\t\t\tonrelease: handleConfirmOpacity,\n\t\t\t\t\t\t\t\t\t\t\tonchange: handleAdjustOpacity,\n\t\t\t\t\t\t\t\t\t\t\tstep: 0.01,\n\t\t\t\t\t\t\t\t\t\t\tvalue: hasProp(activeMarkup, 'opacity')\n\t\t\t\t\t\t\t\t\t\t\t? activeMarkup.opacity\n\t\t\t\t\t\t\t\t\t\t\t: 1,\n\t\t\t\t\t\t\t\t\t\t\tlabel: (value, min, max) => `${Math.round(value / max * 100)}%`,\n\t\t\t\t\t\t\t\t\t\t\tmin: 0,\n\t\t\t\t\t\t\t\t\t\t\tmax: 1,\n\t\t\t\t\t\t\t\t\t\t\tdirection: 'x'\n\t\t\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\t\t]\n\t\t\t\t\t\t\t\t]\n\t\t\t\t\t\t\t],\n\t\t\t\t\t\t\t[\n\t\t\t\t\t\t\t\t'div',\n\t\t\t\t\t\t\t\t'beta',\n\t\t\t\t\t\t\t\t{ class: 'PinturaShapeControlsGroup' },\n\t\t\t\t\t\t\t\t[\n\t\t\t\t\t\t\t\t\tallowShapeFlip && [\n\t\t\t\t\t\t\t\t\t\t'Button',\n\t\t\t\t\t\t\t\t\t\t'flip-horizontal',\n\t\t\t\t\t\t\t\t\t\t{\n\t\t\t\t\t\t\t\t\t\t\tonclick: handleFlipX,\n\t\t\t\t\t\t\t\t\t\t\tlabel: locale.shapeTitleButtonFlipHorizontal,\n\t\t\t\t\t\t\t\t\t\t\ticon: locale.shapeIconButtonFlipHorizontal,\n\t\t\t\t\t\t\t\t\t\t\thideLabel: true\n\t\t\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\t\t],\n\t\t\t\t\t\t\t\t\tallowShapeFlip && enableButtonFlipVertical && [\n\t\t\t\t\t\t\t\t\t\t'Button',\n\t\t\t\t\t\t\t\t\t\t'flip-vertical',\n\t\t\t\t\t\t\t\t\t\t{\n\t\t\t\t\t\t\t\t\t\t\tonclick: handleFlipY,\n\t\t\t\t\t\t\t\t\t\t\tlabel: locale.shapeTitleButtonFlipVertical,\n\t\t\t\t\t\t\t\t\t\t\ticon: locale.shapeIconButtonFlipVertical,\n\t\t\t\t\t\t\t\t\t\t\thideLabel: true\n\t\t\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\t\t],\n\t\t\t\t\t\t\t\t\tallowShapeReorder && [\n\t\t\t\t\t\t\t\t\t\t'Button',\n\t\t\t\t\t\t\t\t\t\t'to-front',\n\t\t\t\t\t\t\t\t\t\t{\n\t\t\t\t\t\t\t\t\t\t\tonclick: handleMoveToFrontActiveMarkup,\n\t\t\t\t\t\t\t\t\t\t\tlabel: locale.shapeTitleButtonMoveToFront,\n\t\t\t\t\t\t\t\t\t\t\ticon: locale.shapeIconButtonMoveToFront,\n\t\t\t\t\t\t\t\t\t\t\thideLabel: true,\n\t\t\t\t\t\t\t\t\t\t\tdisabled: markup[markup.length - 1] === controlledMarkupItem\n\t\t\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\t\t],\n\t\t\t\t\t\t\t\t\tallowShapeDuplicate && [\n\t\t\t\t\t\t\t\t\t\t'Button',\n\t\t\t\t\t\t\t\t\t\t'duplicate',\n\t\t\t\t\t\t\t\t\t\t{\n\t\t\t\t\t\t\t\t\t\t\tonclick: handleDuplicateActiveMarkup,\n\t\t\t\t\t\t\t\t\t\t\tlabel: locale.shapeTitleButtonDuplicate,\n\t\t\t\t\t\t\t\t\t\t\ticon: locale.shapeIconButtonDuplicate,\n\t\t\t\t\t\t\t\t\t\t\tshortcut: ['CMD', 'D'],\n\t\t\t\t\t\t\t\t\t\t\thideLabel: true\n\t\t\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\t\t],\n\t\t\t\t\t\t\t\t\tallowShapeRemove && [\n\t\t\t\t\t\t\t\t\t\t'Button',\n\t\t\t\t\t\t\t\t\t\t'remove',\n\t\t\t\t\t\t\t\t\t\t{\n\t\t\t\t\t\t\t\t\t\t\tonclick: handleRemoveActiveMarkup,\n\t\t\t\t\t\t\t\t\t\t\tlabel: locale.shapeTitleButtonRemove,\n\t\t\t\t\t\t\t\t\t\t\ticon: locale.shapeIconButtonRemove,\n\t\t\t\t\t\t\t\t\t\t\tshortcut: ['Backspace'],\n\t\t\t\t\t\t\t\t\t\t\thideLabel: true\n\t\t\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\t\t]\n\t\t\t\t\t\t\t\t].filter(Boolean)\n\t\t\t\t\t\t\t],\n\t\t\t\t\t\t\tallowShapeInput && allowShapeChangeTextLayout && [\n\t\t\t\t\t\t\t\t'div',\n\t\t\t\t\t\t\t\t'gamma',\n\t\t\t\t\t\t\t\t{ class: 'PinturaShapeControlsGroup' },\n\t\t\t\t\t\t\t\t[\n\t\t\t\t\t\t\t\t\t[\n\t\t\t\t\t\t\t\t\t\t'Button',\n\t\t\t\t\t\t\t\t\t\t'text-layout',\n\t\t\t\t\t\t\t\t\t\t{\n\t\t\t\t\t\t\t\t\t\t\tonclick: handleTextSwitchLayout,\n\t\t\t\t\t\t\t\t\t\t\tlabel: localize(TextLayoutChangeLabel, locale, activeMarkup),\n\t\t\t\t\t\t\t\t\t\t\ticon: localize(TextLayoutChangeIcon, locale, activeMarkup),\n\t\t\t\t\t\t\t\t\t\t\thideLabel: true\n\t\t\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\t\t]\n\t\t\t\t\t\t\t\t]\n\t\t\t\t\t\t\t],\n\t\t\t\t\t\t\tallowShapeInput && [\n\t\t\t\t\t\t\t\t'div',\n\t\t\t\t\t\t\t\t'delta',\n\t\t\t\t\t\t\t\t{ class: 'PinturaShapeControlsGroup' },\n\t\t\t\t\t\t\t\t[\n\t\t\t\t\t\t\t\t\t[\n\t\t\t\t\t\t\t\t\t\t'Button',\n\t\t\t\t\t\t\t\t\t\t'edit-text',\n\t\t\t\t\t\t\t\t\t\t{\n\t\t\t\t\t\t\t\t\t\t\tlabel: locale.shapeLabelInputText,\n\t\t\t\t\t\t\t\t\t\t\tonclick: handleEditTextActiveMarkup\n\t\t\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\t\t]\n\t\t\t\t\t\t\t\t]\n\t\t\t\t\t\t\t]\n\t\t\t\t\t\t].filter(Boolean),\n\t\t\t\t\t\tactiveShapeId\n\t\t\t\t\t))\n\t\t\t\t: // fallback to empty array\n\t\t\t\t\t[]);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*markup, locale*/ 65) {\n\t\t\t$$invalidate(20, shapeNavList = markup.filter(shapeCanSelect).filter(shape => !shapeIsDraft(shape)).map(shape => ({\n\t\t\t\tid: shape.id,\n\t\t\t\tcolor: shapeIsText(shape)\n\t\t\t\t? shape.color\n\t\t\t\t: shapeIsLine(shape)\n\t\t\t\t\t? shape.strokeColor\n\t\t\t\t\t: shape.backgroundColor,\n\t\t\t\tname: shape.name || locale[`shapeLabelTool${capitalizeFirstLetter(shapeGetDescription(shape))}`]\n\t\t\t})));\n\t\t}\n\t};\n\n\treturn [\n\t\tmarkup,\n\t\tdisabled,\n\t\toffset,\n\t\trootRect,\n\t\ttextInputMode,\n\t\tenableTextStyleControls,\n\t\tlocale,\n\t\tselectShape,\n\t\ttextInput,\n\t\tshapeControlsSize,\n\t\tactiveShapeId,\n\t\tshouldRenderTextInput,\n\t\tshapeManipulatorPoints,\n\t\tactiveMarkupComputed,\n\t\tallowRotateControls,\n\t\tshouldRenderShapeManipulator,\n\t\tallowEdgeControls,\n\t\t$markupControlsOpacity,\n\t\tshowShapeList,\n\t\telement,\n\t\tshapeNavList,\n\t\tshapeControls,\n\t\tmarkupControlsStyle,\n\t\ttextInputText,\n\t\ttextInputPositionStyles,\n\t\ttextInputTextStyles,\n\t\tshapeManipulatorRotationPointPosition,\n\t\tshapeAllowNewline,\n\t\tallowCornerControls,\n\t\tisAnimated,\n\t\tkeysPressedStored,\n\t\thandleInteractionStart,\n\t\thandleInteractionCancel,\n\t\thandleInteractionUpdate,\n\t\thandleInteractionRelease,\n\t\thandleInteractionEnd,\n\t\thandleManipulatorResizeGrab,\n\t\thandleManipulatorResizeDrag,\n\t\thandleManipulatorResizeEnd,\n\t\thandleManipulatorRotateGrab,\n\t\thandleManipulatorRotateDrag,\n\t\thandleManipulatorRotateEnd,\n\t\thandleKey,\n\t\tformatContentEditable,\n\t\thandleTextInput,\n\t\thandleTextInputAttempt,\n\t\thandleTextInputKeyDown,\n\t\thandleTextInputKeyUp,\n\t\thandleTextConfirm,\n\t\thandleTextCancel,\n\t\tmarkupControlsOpacity,\n\t\thandleNudge,\n\t\thandleFocusIn,\n\t\thandleFocusOut,\n\t\thandlePointerMove,\n\t\tui,\n\t\tuid,\n\t\tcontextRotation,\n\t\tcontextFlipX,\n\t\tcontextFlipY,\n\t\tcontextZoom,\n\t\tactive,\n\t\topacity,\n\t\tparentRect,\n\t\tutilRect,\n\t\thoverColor,\n\t\toninteractionstart,\n\t\toninteractionupdate,\n\t\toninteractionrelease,\n\t\toninteractionend,\n\t\toninteractioncancel,\n\t\tonaddshape,\n\t\tonupdateshape,\n\t\tonselectshape,\n\t\tonremoveshape,\n\t\tontapshape,\n\t\tonhovershape,\n\t\tonhovercanvas,\n\t\tontapcanvas,\n\t\tbeforeSelectShape,\n\t\tbeforeDeselectShape,\n\t\tbeforeRemoveShape,\n\t\tbeforeUpdateShape,\n\t\twillRenderShapeControls,\n\t\twillRenderShapeTextControls,\n\t\twillStartInteraction,\n\t\tmapEditorPointToImagePoint,\n\t\tmapImagePointToEditorPoint,\n\t\teraseRadius,\n\t\tselectRadius,\n\t\tenableButtonFlipVertical,\n\t\tenableTapToAddText,\n\t\tcreateShape,\n\t\teraseShape,\n\t\tgetMarkupItemDraft,\n\t\tgetMarkupItemDraftIndex,\n\t\taddMarkupItemDraft,\n\t\tconfirmMarkupItemDraft,\n\t\tdiscardMarkupItemDraft,\n\t\tcreateMarkupItem,\n\t\tsyncShapes,\n\t\taddShape,\n\t\tremoveMarkupShapeProps,\n\t\tupdateMarkupShape,\n\t\tupdateMarkupShapeProperty,\n\t\tupdateMarkupItemsShapeProperty,\n\t\tupdateMarkupShapeItems,\n\t\tgetActiveMarkupItem,\n\t\thasActiveMarkupItem,\n\t\tremoveShape,\n\t\tremoveActiveMarkupItem,\n\t\tblurShapes,\n\t\tdeselectMarkupItem,\n\t\teditMarkupItem,\n\t\tfinishEditMarkupItem,\n\t\tremoveMarkupItems,\n\t\tgetTextShapeRect,\n\t\tgetMarkupShapeRect,\n\t\tgetShapesNearPosition,\n\t\tgetShapesBetweenPoints,\n\t\tisInteracting,\n\t\thoverShape,\n\t\tpointerPositionInEditor,\n\t\tactiveMarkupItemIsDraft,\n\t\tallowShapeInput,\n\t\tactiveMarkup,\n\t\tallowShapeChangeTextLayout,\n\t\tallowShapeRemove,\n\t\tallowShapeDuplicate,\n\t\tcontrolledMarkupItem,\n\t\tallowShapeReorder,\n\t\tallowShapeFlip,\n\t\tallowShapeAdjustOpacity,\n\t\tshapeControlsMode,\n\t\tallowShapeStyleText,\n\t\tshapeControlsPosition,\n\t\tmarkupControlsAnchorPosition,\n\t\tshouldShowMarkupControls,\n\t\ttextShapeOrigin,\n\t\tactiveShapeIsDraft,\n\t\ttextShapeDisplayOrigin,\n\t\tactiveTextShapeComputed,\n\t\ttextSizeDisplayOrigin,\n\t\tisTextMarkupSelected,\n\t\tcurrentPointerPosition,\n\t\tshapeActiveScreenPoints,\n\t\tshapeManipulatorRotationPoint,\n\t\tshapeActivePoints,\n\t\tactiveMarkupSelected,\n\t\tallowResizeControls,\n\t\t$isAnimated,\n\t\tmeasure_handler,\n\t\tclick_handler,\n\t\ttextarea_binding,\n\t\ttextarea_input_handler,\n\t\tcontenteditable_binding,\n\t\tfocusout_handler,\n\t\tmeasure_handler_1,\n\t\tdiv_binding,\n\t\tinteractable_function_1\n\t];\n}\n\nclass ShapeLayoutEditor extends SvelteComponent {\n\tconstructor(options) {\n\t\tsuper();\n\n\t\tinit(\n\t\t\tthis,\n\t\t\toptions,\n\t\t\tinstance$g,\n\t\t\tcreate_fragment$g,\n\t\t\tsafe_not_equal,\n\t\t\t{\n\t\t\t\tuid: 56,\n\t\t\t\tui: 55,\n\t\t\t\tdisabled: 1,\n\t\t\t\tmarkup: 0,\n\t\t\t\toffset: 2,\n\t\t\t\tcontextRotation: 57,\n\t\t\t\tcontextFlipX: 58,\n\t\t\t\tcontextFlipY: 59,\n\t\t\t\tcontextZoom: 60,\n\t\t\t\tactive: 61,\n\t\t\t\topacity: 62,\n\t\t\t\tparentRect: 63,\n\t\t\t\trootRect: 3,\n\t\t\t\tutilRect: 64,\n\t\t\t\thoverColor: 65,\n\t\t\t\ttextInputMode: 4,\n\t\t\t\toninteractionstart: 66,\n\t\t\t\toninteractionupdate: 67,\n\t\t\t\toninteractionrelease: 68,\n\t\t\t\toninteractionend: 69,\n\t\t\t\toninteractioncancel: 70,\n\t\t\t\tonaddshape: 71,\n\t\t\t\tonupdateshape: 72,\n\t\t\t\tonselectshape: 73,\n\t\t\t\tonremoveshape: 74,\n\t\t\t\tontapshape: 75,\n\t\t\t\tonhovershape: 76,\n\t\t\t\tonhovercanvas: 77,\n\t\t\t\tontapcanvas: 78,\n\t\t\t\tbeforeSelectShape: 79,\n\t\t\t\tbeforeDeselectShape: 80,\n\t\t\t\tbeforeRemoveShape: 81,\n\t\t\t\tbeforeUpdateShape: 82,\n\t\t\t\twillRenderShapeControls: 83,\n\t\t\t\twillRenderShapeTextControls: 84,\n\t\t\t\twillStartInteraction: 85,\n\t\t\t\tmapEditorPointToImagePoint: 86,\n\t\t\t\tmapImagePointToEditorPoint: 87,\n\t\t\t\teraseRadius: 88,\n\t\t\t\tselectRadius: 89,\n\t\t\t\tenableButtonFlipVertical: 90,\n\t\t\t\tenableTapToAddText: 91,\n\t\t\t\tenableTextStyleControls: 5,\n\t\t\t\tlocale: 6,\n\t\t\t\tcreateShape: 92,\n\t\t\t\teraseShape: 93,\n\t\t\t\tgetMarkupItemDraft: 94,\n\t\t\t\tgetMarkupItemDraftIndex: 95,\n\t\t\t\taddMarkupItemDraft: 96,\n\t\t\t\tconfirmMarkupItemDraft: 97,\n\t\t\t\tdiscardMarkupItemDraft: 98,\n\t\t\t\tcreateMarkupItem: 99,\n\t\t\t\tsyncShapes: 100,\n\t\t\t\taddShape: 101,\n\t\t\t\tremoveMarkupShapeProps: 102,\n\t\t\t\tupdateMarkupShape: 103,\n\t\t\t\tupdateMarkupShapeProperty: 104,\n\t\t\t\tupdateMarkupItemsShapeProperty: 105,\n\t\t\t\tupdateMarkupShapeItems: 106,\n\t\t\t\tgetActiveMarkupItem: 107,\n\t\t\t\thasActiveMarkupItem: 108,\n\t\t\t\tremoveShape: 109,\n\t\t\t\tremoveActiveMarkupItem: 110,\n\t\t\t\tblurShapes: 111,\n\t\t\t\tselectShape: 7,\n\t\t\t\tdeselectMarkupItem: 112,\n\t\t\t\teditMarkupItem: 113,\n\t\t\t\tfinishEditMarkupItem: 114,\n\t\t\t\tremoveMarkupItems: 115,\n\t\t\t\tgetTextShapeRect: 116,\n\t\t\t\tgetMarkupShapeRect: 117,\n\t\t\t\tgetShapesNearPosition: 118,\n\t\t\t\tgetShapesBetweenPoints: 119\n\t\t\t},\n\t\t\tnull,\n\t\t\t[-1, -1, -1, -1, -1, -1, -1, -1]\n\t\t);\n\t}\n\n\tget createShape() {\n\t\treturn this.$$.ctx[92];\n\t}\n\n\tget eraseShape() {\n\t\treturn this.$$.ctx[93];\n\t}\n\n\tget getMarkupItemDraft() {\n\t\treturn this.$$.ctx[94];\n\t}\n\n\tget getMarkupItemDraftIndex() {\n\t\treturn this.$$.ctx[95];\n\t}\n\n\tget addMarkupItemDraft() {\n\t\treturn this.$$.ctx[96];\n\t}\n\n\tget confirmMarkupItemDraft() {\n\t\treturn this.$$.ctx[97];\n\t}\n\n\tget discardMarkupItemDraft() {\n\t\treturn this.$$.ctx[98];\n\t}\n\n\tget createMarkupItem() {\n\t\treturn this.$$.ctx[99];\n\t}\n\n\tget syncShapes() {\n\t\treturn this.$$.ctx[100];\n\t}\n\n\tget addShape() {\n\t\treturn this.$$.ctx[101];\n\t}\n\n\tget removeMarkupShapeProps() {\n\t\treturn this.$$.ctx[102];\n\t}\n\n\tget updateMarkupShape() {\n\t\treturn this.$$.ctx[103];\n\t}\n\n\tget updateMarkupShapeProperty() {\n\t\treturn this.$$.ctx[104];\n\t}\n\n\tget updateMarkupItemsShapeProperty() {\n\t\treturn this.$$.ctx[105];\n\t}\n\n\tget updateMarkupShapeItems() {\n\t\treturn this.$$.ctx[106];\n\t}\n\n\tget getActiveMarkupItem() {\n\t\treturn this.$$.ctx[107];\n\t}\n\n\tget hasActiveMarkupItem() {\n\t\treturn this.$$.ctx[108];\n\t}\n\n\tget removeShape() {\n\t\treturn this.$$.ctx[109];\n\t}\n\n\tget removeActiveMarkupItem() {\n\t\treturn this.$$.ctx[110];\n\t}\n\n\tget blurShapes() {\n\t\treturn this.$$.ctx[111];\n\t}\n\n\tget selectShape() {\n\t\treturn this.$$.ctx[7];\n\t}\n\n\tget deselectMarkupItem() {\n\t\treturn this.$$.ctx[112];\n\t}\n\n\tget editMarkupItem() {\n\t\treturn this.$$.ctx[113];\n\t}\n\n\tget finishEditMarkupItem() {\n\t\treturn this.$$.ctx[114];\n\t}\n\n\tget removeMarkupItems() {\n\t\treturn this.$$.ctx[115];\n\t}\n\n\tget getTextShapeRect() {\n\t\treturn this.$$.ctx[116];\n\t}\n\n\tget getMarkupShapeRect() {\n\t\treturn this.$$.ctx[117];\n\t}\n\n\tget getShapesNearPosition() {\n\t\treturn this.$$.ctx[118];\n\t}\n\n\tget getShapesBetweenPoints() {\n\t\treturn this.$$.ctx[119];\n\t}\n}\n\n/* src/core/ui/components/ShapeStyleControls.svelte generated by Svelte v3.52.0 */\n\nfunction get_each_context$2(ctx, list, i) {\n\tconst child_ctx = ctx.slice();\n\tchild_ctx[9] = list[i];\n\treturn child_ctx;\n}\n\n// (25:12) {#each controls as control (control.id)}\nfunction create_each_block$2(key_1, ctx) {\n\tlet li;\n\tlet span;\n\tlet t0_value = localize(/*control*/ ctx[9].componentProps.title, /*locale*/ ctx[1]) + \"\";\n\tlet t0;\n\tlet t1;\n\tlet switch_instance;\n\tlet t2;\n\tlet current;\n\tconst switch_instance_spread_levels = [/*control*/ ctx[9].componentProps];\n\tvar switch_value = /*control*/ ctx[9].component;\n\n\tfunction switch_props(ctx) {\n\t\tlet switch_instance_props = {};\n\n\t\tfor (let i = 0; i < switch_instance_spread_levels.length; i += 1) {\n\t\t\tswitch_instance_props = assign(switch_instance_props, switch_instance_spread_levels[i]);\n\t\t}\n\n\t\treturn { props: switch_instance_props };\n\t}\n\n\tif (switch_value) {\n\t\tswitch_instance = construct_svelte_component(switch_value, switch_props());\n\t}\n\n\treturn {\n\t\tkey: key_1,\n\t\tfirst: null,\n\t\tc() {\n\t\t\tli = element(\"li\");\n\t\t\tspan = element(\"span\");\n\t\t\tt0 = text(t0_value);\n\t\t\tt1 = space();\n\t\t\tif (switch_instance) create_component(switch_instance.$$.fragment);\n\t\t\tt2 = space();\n\t\t\tattr(span, \"class\", \"PinturaShapeStyleLabel\");\n\t\t\tattr(li, \"class\", \"PinturaShapeStyle\");\n\t\t\tthis.first = li;\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, li, anchor);\n\t\t\tappend(li, span);\n\t\t\tappend(span, t0);\n\t\t\tappend(li, t1);\n\t\t\tif (switch_instance) mount_component(switch_instance, li, null);\n\t\t\tappend(li, t2);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(new_ctx, dirty) {\n\t\t\tctx = new_ctx;\n\t\t\tif ((!current || dirty & /*controls, locale*/ 3) && t0_value !== (t0_value = localize(/*control*/ ctx[9].componentProps.title, /*locale*/ ctx[1]) + \"\")) set_data(t0, t0_value);\n\n\t\t\tconst switch_instance_changes = (dirty & /*controls*/ 1)\n\t\t\t? get_spread_update(switch_instance_spread_levels, [get_spread_object(/*control*/ ctx[9].componentProps)])\n\t\t\t: {};\n\n\t\t\tif (switch_value !== (switch_value = /*control*/ ctx[9].component)) {\n\t\t\t\tif (switch_instance) {\n\t\t\t\t\tgroup_outros();\n\t\t\t\t\tconst old_component = switch_instance;\n\n\t\t\t\t\ttransition_out(old_component.$$.fragment, 1, 0, () => {\n\t\t\t\t\t\tdestroy_component(old_component, 1);\n\t\t\t\t\t});\n\n\t\t\t\t\tcheck_outros();\n\t\t\t\t}\n\n\t\t\t\tif (switch_value) {\n\t\t\t\t\tswitch_instance = construct_svelte_component(switch_value, switch_props());\n\t\t\t\t\tcreate_component(switch_instance.$$.fragment);\n\t\t\t\t\ttransition_in(switch_instance.$$.fragment, 1);\n\t\t\t\t\tmount_component(switch_instance, li, t2);\n\t\t\t\t} else {\n\t\t\t\t\tswitch_instance = null;\n\t\t\t\t}\n\t\t\t} else if (switch_value) {\n\t\t\t\tswitch_instance.$set(switch_instance_changes);\n\t\t\t}\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\tif (switch_instance) transition_in(switch_instance.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\tif (switch_instance) transition_out(switch_instance.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(li);\n\t\t\tif (switch_instance) destroy_component(switch_instance);\n\t\t}\n\t};\n}\n\n// (23:4) <Scrollable class=\"PinturaShapeStyles\" elasticity={scrollElasticity}>\nfunction create_default_slot$6(ctx) {\n\tlet ul;\n\tlet each_blocks = [];\n\tlet each_1_lookup = new Map();\n\tlet current;\n\tlet each_value = /*controls*/ ctx[0];\n\tconst get_key = ctx => /*control*/ ctx[9].id;\n\n\tfor (let i = 0; i < each_value.length; i += 1) {\n\t\tlet child_ctx = get_each_context$2(ctx, each_value, i);\n\t\tlet key = get_key(child_ctx);\n\t\teach_1_lookup.set(key, each_blocks[i] = create_each_block$2(key, child_ctx));\n\t}\n\n\treturn {\n\t\tc() {\n\t\t\tul = element(\"ul\");\n\n\t\t\tfor (let i = 0; i < each_blocks.length; i += 1) {\n\t\t\t\teach_blocks[i].c();\n\t\t\t}\n\n\t\t\tattr(ul, \"class\", \"PinturaShapeStyleList\");\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, ul, anchor);\n\n\t\t\tfor (let i = 0; i < each_blocks.length; i += 1) {\n\t\t\t\teach_blocks[i].m(ul, null);\n\t\t\t}\n\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tif (dirty & /*controls, localize, locale*/ 3) {\n\t\t\t\teach_value = /*controls*/ ctx[0];\n\t\t\t\tgroup_outros();\n\t\t\t\teach_blocks = update_keyed_each(each_blocks, dirty, get_key, 1, ctx, each_value, each_1_lookup, ul, outro_and_destroy_block, create_each_block$2, null, get_each_context$2);\n\t\t\t\tcheck_outros();\n\t\t\t}\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\n\t\t\tfor (let i = 0; i < each_value.length; i += 1) {\n\t\t\t\ttransition_in(each_blocks[i]);\n\t\t\t}\n\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\tfor (let i = 0; i < each_blocks.length; i += 1) {\n\t\t\t\ttransition_out(each_blocks[i]);\n\t\t\t}\n\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(ul);\n\n\t\t\tfor (let i = 0; i < each_blocks.length; i += 1) {\n\t\t\t\teach_blocks[i].d();\n\t\t\t}\n\t\t}\n\t};\n}\n\nfunction create_fragment$f(ctx) {\n\tlet div;\n\tlet scrollable;\n\tlet current;\n\n\tscrollable = new Scrollable({\n\t\t\tprops: {\n\t\t\t\tclass: \"PinturaShapeStyles\",\n\t\t\t\telasticity: /*scrollElasticity*/ ctx[2],\n\t\t\t\t$$slots: { default: [create_default_slot$6] },\n\t\t\t\t$$scope: { ctx }\n\t\t\t}\n\t\t});\n\n\treturn {\n\t\tc() {\n\t\t\tdiv = element(\"div\");\n\t\t\tcreate_component(scrollable.$$.fragment);\n\t\t\tattr(div, \"style\", /*style*/ ctx[3]);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, div, anchor);\n\t\t\tmount_component(scrollable, div, null);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, [dirty]) {\n\t\t\tconst scrollable_changes = {};\n\t\t\tif (dirty & /*scrollElasticity*/ 4) scrollable_changes.elasticity = /*scrollElasticity*/ ctx[2];\n\n\t\t\tif (dirty & /*$$scope, controls, locale*/ 4099) {\n\t\t\t\tscrollable_changes.$$scope = { dirty, ctx };\n\t\t\t}\n\n\t\t\tscrollable.$set(scrollable_changes);\n\n\t\t\tif (!current || dirty & /*style*/ 8) {\n\t\t\t\tattr(div, \"style\", /*style*/ ctx[3]);\n\t\t\t}\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(scrollable.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(scrollable.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(div);\n\t\t\tdestroy_component(scrollable);\n\t\t}\n\t};\n}\n\nfunction instance$f($$self, $$props, $$invalidate) {\n\tlet style;\n\tlet $opacity;\n\tlet $isAnimated;\n\tlet { isActive = false } = $$props;\n\tlet { controls = [] } = $$props;\n\tlet { locale } = $$props;\n\tlet { scrollElasticity } = $$props;\n\n\t// context\n\tconst isAnimated = getContext('isAnimated');\n\n\tcomponent_subscribe($$self, isAnimated, value => $$invalidate(8, $isAnimated = value));\n\tconst opacity = spring(0, { stiffness: 0.25, damping: 0.9 });\n\tcomponent_subscribe($$self, opacity, value => $$invalidate(7, $opacity = value));\n\n\t$$self.$$set = $$props => {\n\t\tif ('isActive' in $$props) $$invalidate(6, isActive = $$props.isActive);\n\t\tif ('controls' in $$props) $$invalidate(0, controls = $$props.controls);\n\t\tif ('locale' in $$props) $$invalidate(1, locale = $$props.locale);\n\t\tif ('scrollElasticity' in $$props) $$invalidate(2, scrollElasticity = $$props.scrollElasticity);\n\t};\n\n\t$$self.$$.update = () => {\n\t\tif ($$self.$$.dirty & /*isActive, $isAnimated*/ 320) {\n\t\t\topacity.set(isActive ? 1 : 0, { hard: $isAnimated === false });\n\t\t}\n\n\t\tif ($$self.$$.dirty & /*$opacity, isActive*/ 192) {\n\t\t\t$$invalidate(3, style = `opacity:${$opacity};${!isActive ? 'pointer-events:none;' : ''}${$opacity <= 0 ? 'visibility:hidden' : ''}`);\n\t\t}\n\t};\n\n\treturn [\n\t\tcontrols,\n\t\tlocale,\n\t\tscrollElasticity,\n\t\tstyle,\n\t\tisAnimated,\n\t\topacity,\n\t\tisActive,\n\t\t$opacity,\n\t\t$isAnimated\n\t];\n}\n\nclass ShapeStyleControls extends SvelteComponent {\n\tconstructor(options) {\n\t\tsuper();\n\n\t\tinit(this, options, instance$f, create_fragment$f, safe_not_equal, {\n\t\t\tisActive: 6,\n\t\t\tcontrols: 0,\n\t\t\tlocale: 1,\n\t\t\tscrollElasticity: 2\n\t\t});\n\t}\n}\n\n/* src/core/ui/components/ShapeStyleEditor.svelte generated by Svelte v3.52.0 */\n\nfunction get_each_context$1(ctx, list, i) {\n\tconst child_ctx = ctx.slice();\n\tchild_ctx[12] = list[i].key;\n\tchild_ctx[3] = list[i].controls;\n\tchild_ctx[13] = list[i].isActive;\n\treturn child_ctx;\n}\n\n// (143:4) {#each currentStyleControlSets as { key, controls, isActive }\nfunction create_each_block$1(key_1, ctx) {\n\tlet first;\n\tlet shapestylecontrols;\n\tlet current;\n\n\tshapestylecontrols = new ShapeStyleControls({\n\t\t\tprops: {\n\t\t\t\tisActive: /*isActive*/ ctx[13],\n\t\t\t\tcontrols: /*controls*/ ctx[3],\n\t\t\t\tlocale: /*locale*/ ctx[1],\n\t\t\t\tscrollElasticity: /*scrollElasticity*/ ctx[2]\n\t\t\t}\n\t\t});\n\n\treturn {\n\t\tkey: key_1,\n\t\tfirst: null,\n\t\tc() {\n\t\t\tfirst = empty();\n\t\t\tcreate_component(shapestylecontrols.$$.fragment);\n\t\t\tthis.first = first;\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, first, anchor);\n\t\t\tmount_component(shapestylecontrols, target, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(new_ctx, dirty) {\n\t\t\tctx = new_ctx;\n\t\t\tconst shapestylecontrols_changes = {};\n\t\t\tif (dirty & /*currentStyleControlSets*/ 16) shapestylecontrols_changes.isActive = /*isActive*/ ctx[13];\n\t\t\tif (dirty & /*currentStyleControlSets*/ 16) shapestylecontrols_changes.controls = /*controls*/ ctx[3];\n\t\t\tif (dirty & /*locale*/ 2) shapestylecontrols_changes.locale = /*locale*/ ctx[1];\n\t\t\tif (dirty & /*scrollElasticity*/ 4) shapestylecontrols_changes.scrollElasticity = /*scrollElasticity*/ ctx[2];\n\t\t\tshapestylecontrols.$set(shapestylecontrols_changes);\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(shapestylecontrols.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(shapestylecontrols.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(first);\n\t\t\tdestroy_component(shapestylecontrols, detaching);\n\t\t}\n\t};\n}\n\nfunction create_fragment$e(ctx) {\n\tlet div;\n\tlet each_blocks = [];\n\tlet each_1_lookup = new Map();\n\tlet div_class_value;\n\tlet current;\n\tlet each_value = /*currentStyleControlSets*/ ctx[4];\n\tconst get_key = ctx => /*key*/ ctx[12];\n\n\tfor (let i = 0; i < each_value.length; i += 1) {\n\t\tlet child_ctx = get_each_context$1(ctx, each_value, i);\n\t\tlet key = get_key(child_ctx);\n\t\teach_1_lookup.set(key, each_blocks[i] = create_each_block$1(key, child_ctx));\n\t}\n\n\treturn {\n\t\tc() {\n\t\t\tdiv = element(\"div\");\n\n\t\t\tfor (let i = 0; i < each_blocks.length; i += 1) {\n\t\t\t\teach_blocks[i].c();\n\t\t\t}\n\n\t\t\tattr(div, \"class\", div_class_value = arrayJoin(['PinturaShapeStyleEditor', /*klass*/ ctx[0]]));\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, div, anchor);\n\n\t\t\tfor (let i = 0; i < each_blocks.length; i += 1) {\n\t\t\t\teach_blocks[i].m(div, null);\n\t\t\t}\n\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, [dirty]) {\n\t\t\tif (dirty & /*currentStyleControlSets, locale, scrollElasticity*/ 22) {\n\t\t\t\teach_value = /*currentStyleControlSets*/ ctx[4];\n\t\t\t\tgroup_outros();\n\t\t\t\teach_blocks = update_keyed_each(each_blocks, dirty, get_key, 1, ctx, each_value, each_1_lookup, div, outro_and_destroy_block, create_each_block$1, null, get_each_context$1);\n\t\t\t\tcheck_outros();\n\t\t\t}\n\n\t\t\tif (!current || dirty & /*klass*/ 1 && div_class_value !== (div_class_value = arrayJoin(['PinturaShapeStyleEditor', /*klass*/ ctx[0]]))) {\n\t\t\t\tattr(div, \"class\", div_class_value);\n\t\t\t}\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\n\t\t\tfor (let i = 0; i < each_value.length; i += 1) {\n\t\t\t\ttransition_in(each_blocks[i]);\n\t\t\t}\n\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\tfor (let i = 0; i < each_blocks.length; i += 1) {\n\t\t\t\ttransition_out(each_blocks[i]);\n\t\t\t}\n\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(div);\n\n\t\t\tfor (let i = 0; i < each_blocks.length; i += 1) {\n\t\t\t\teach_blocks[i].d();\n\t\t\t}\n\t\t}\n\t};\n}\n\nfunction instance$e($$self, $$props, $$invalidate) {\n\tlet controlKeys;\n\tlet activeControls;\n\tlet currentStyleControlSets;\n\tlet { class: klass = undefined } = $$props;\n\tlet { controls = {} } = $$props;\n\tlet { shape = undefined } = $$props;\n\tlet { onchange } = $$props;\n\tlet { locale } = $$props;\n\tlet { scrollElasticity } = $$props;\n\n\tconst getShapeControls = shape => {\n\t\tconst activeControls = controlKeys.filter(styleKey => styleKey.split('_').every(styleKey => // shape needs to have the property\n\t\thasProp(shape, styleKey) && // shape needs to be able to style the property\n\t\tshapeCanStyle(shape, styleKey))).map(styleKey => {\n\t\t\tconst styleKeys = styleKey.split('_');\n\n\t\t\tconst currentValue = styleKeys.length > 1\n\t\t\t? styleKeys.map(key => shape[key])\n\t\t\t: shape[styleKey];\n\n\t\t\tlet [component, componentProps] = controls[styleKey];\n\n\t\t\t// is reference to other control or string representation of component\n\t\t\tif (isString(component)) {\n\t\t\t\t// exif if not a valid default control\n\t\t\t\tif (controls[component]) {\n\t\t\t\t\t// create component based on reference\n\t\t\t\t\tconst componentCustomProps = { ...componentProps };\n\n\t\t\t\t\t[component, componentProps] = controls[component];\n\n\t\t\t\t\tcomponentProps = {\n\t\t\t\t\t\t...componentProps,\n\t\t\t\t\t\t...componentCustomProps\n\t\t\t\t\t};\n\t\t\t\t} else if (component === 'Dropdown') {\n\t\t\t\t\tcomponent = Dropdown;\n\t\t\t\t} else {\n\t\t\t\t\t// skip\n\t\t\t\t\treturn;\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tconst options = isFunction(componentProps.options)\n\t\t\t? componentProps.options(shape)\n\t\t\t: componentProps.options;\n\n\t\t\treturn {\n\t\t\t\tid: styleKey,\n\t\t\t\tcomponent,\n\t\t\t\tcomponentProps: {\n\t\t\t\t\t...componentProps,\n\t\t\t\t\t// set the options prop\n\t\t\t\t\toptions,\n\t\t\t\t\t// defaults\n\t\t\t\t\tlocale,\n\t\t\t\t\tvalue: currentValue,\n\t\t\t\t\toptionLabelClass: 'PinturaButtonLabel',\n\t\t\t\t\tonchange: detail => {\n\t\t\t\t\t\tconst value = isObject(detail) && !isArray(detail)\n\t\t\t\t\t\t? detail.value\n\t\t\t\t\t\t: detail;\n\n\t\t\t\t\t\t// allow custom changes\n\t\t\t\t\t\tif (componentProps.onchange) componentProps.onchange(value, shape);\n\n\t\t\t\t\t\t// internal change\n\t\t\t\t\t\tconst props = styleKeys.length > 1\n\t\t\t\t\t\t? styleKeys.reduce(\n\t\t\t\t\t\t\t\t(prev, key, index) => {\n\t\t\t\t\t\t\t\t\treturn {\n\t\t\t\t\t\t\t\t\t\t...prev,\n\t\t\t\t\t\t\t\t\t\t[key]: Array.isArray(value) ? value[index] : value\n\t\t\t\t\t\t\t\t\t};\n\t\t\t\t\t\t\t\t},\n\t\t\t\t\t\t\t\t{}\n\t\t\t\t\t\t\t)\n\t\t\t\t\t\t: { [styleKey]: value };\n\n\t\t\t\t\t\tonchange(props);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t};\n\t\t}).filter(Boolean);\n\n\t\treturn activeControls;\n\t};\n\n\tconst styleControlSets = [];\n\n\tconst getStyleControlSets = (key, controls) => {\n\t\tlet controlSet = styleControlSets.find(controlSet => controlSet.key === key);\n\n\t\tif (!controlSet) {\n\t\t\t// create\n\t\t\tcontrolSet = { key, controls };\n\n\t\t\t// add\n\t\t\tstyleControlSets.push(controlSet);\n\t\t}\n\n\t\t// hide all\n\t\tstyleControlSets.forEach(controlSet => controlSet.isActive = false);\n\n\t\t// update active controls\n\t\tcontrolSet.controls = controls;\n\n\t\t// show active\n\t\tcontrolSet.isActive = true;\n\n\t\treturn styleControlSets;\n\t};\n\n\t$$self.$$set = $$props => {\n\t\tif ('class' in $$props) $$invalidate(0, klass = $$props.class);\n\t\tif ('controls' in $$props) $$invalidate(3, controls = $$props.controls);\n\t\tif ('shape' in $$props) $$invalidate(5, shape = $$props.shape);\n\t\tif ('onchange' in $$props) $$invalidate(6, onchange = $$props.onchange);\n\t\tif ('locale' in $$props) $$invalidate(1, locale = $$props.locale);\n\t\tif ('scrollElasticity' in $$props) $$invalidate(2, scrollElasticity = $$props.scrollElasticity);\n\t};\n\n\t$$self.$$.update = () => {\n\t\tif ($$self.$$.dirty & /*controls*/ 8) {\n\t\t\t// finds the controls needed to style the selected shape\n\t\t\t$$invalidate(8, controlKeys = Object.keys(controls).filter(key => controls[key]));\n\t\t}\n\n\t\tif ($$self.$$.dirty & /*shape, controlKeys*/ 288) {\n\t\t\t$$invalidate(7, activeControls = shape && Object.keys(shape).length && controlKeys && shapeCanStyle(shape)\n\t\t\t? getShapeControls(shape)\n\t\t\t: []);\n\t\t}\n\n\t\tif ($$self.$$.dirty & /*shape, activeControls*/ 160) {\n\t\t\t$$invalidate(4, currentStyleControlSets = getStyleControlSets(\n\t\t\t\tshape && Object.keys(shape).length\n\t\t\t\t? Object.keys(shape).join('_')\n\t\t\t\t: 'none',\n\t\t\t\tactiveControls || []\n\t\t\t));\n\t\t}\n\t};\n\n\treturn [\n\t\tklass,\n\t\tlocale,\n\t\tscrollElasticity,\n\t\tcontrols,\n\t\tcurrentStyleControlSets,\n\t\tshape,\n\t\tonchange,\n\t\tactiveControls,\n\t\tcontrolKeys\n\t];\n}\n\nclass ShapeStyleEditor extends SvelteComponent {\n\tconstructor(options) {\n\t\tsuper();\n\n\t\tinit(this, options, instance$e, create_fragment$e, safe_not_equal, {\n\t\t\tclass: 0,\n\t\t\tcontrols: 3,\n\t\t\tshape: 5,\n\t\t\tonchange: 6,\n\t\t\tlocale: 1,\n\t\t\tscrollElasticity: 2\n\t\t});\n\t}\n}\n\n/* src/core/ui/components/DragButton.svelte generated by Svelte v3.52.0 */\n\nconst { document: document_1$1 } = globals;\n\nfunction create_fragment$d(ctx) {\n\tlet t;\n\tlet button;\n\tlet mounted;\n\tlet dispose;\n\n\treturn {\n\t\tc() {\n\t\t\tt = space();\n\t\t\tbutton = element(\"button\");\n\t\t\tattr(button, \"class\", \"PinturaDragButton\");\n\t\t\tattr(button, \"type\", \"button\");\n\t\t\tattr(button, \"title\", /*title*/ ctx[1]);\n\t\t\tbutton.disabled = /*disabled*/ ctx[2];\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, t, anchor);\n\t\t\tinsert(target, button, anchor);\n\t\t\tbutton.innerHTML = /*html*/ ctx[0];\n\t\t\t/*button_binding*/ ctx[11](button);\n\n\t\t\tif (!mounted) {\n\t\t\t\tdispose = [\n\t\t\t\t\tlisten(document_1$1.body, \"load\", /*handleLoad*/ ctx[5], true),\n\t\t\t\t\tlisten(document_1$1.body, \"error\", /*handleError*/ ctx[6], true),\n\t\t\t\t\tlisten(button, \"pointerdown\", /*handleDown*/ ctx[4])\n\t\t\t\t];\n\n\t\t\t\tmounted = true;\n\t\t\t}\n\t\t},\n\t\tp(ctx, [dirty]) {\n\t\t\tif (dirty & /*html*/ 1) button.innerHTML = /*html*/ ctx[0];\n\t\t\tif (dirty & /*title*/ 2) {\n\t\t\t\tattr(button, \"title\", /*title*/ ctx[1]);\n\t\t\t}\n\n\t\t\tif (dirty & /*disabled*/ 4) {\n\t\t\t\tbutton.disabled = /*disabled*/ ctx[2];\n\t\t\t}\n\t\t},\n\t\ti: noop,\n\t\to: noop,\n\t\td(detaching) {\n\t\t\tif (detaching) detach(t);\n\t\t\tif (detaching) detach(button);\n\t\t\t/*button_binding*/ ctx[11](null);\n\t\t\tmounted = false;\n\t\t\trun_all(dispose);\n\t\t}\n\t};\n}\n\nfunction instance$d($$self, $$props, $$invalidate) {\n\tlet { html } = $$props;\n\tlet { title } = $$props;\n\tlet { onclick } = $$props;\n\tlet { disabled = false } = $$props;\n\tlet { ongrab = noop$1 } = $$props;\n\tlet { ondrag = noop$1 } = $$props;\n\tlet { ondrop = noop$1 } = $$props;\n\tlet element;\n\tconst isOverButton = e => vectorDistanceSquared(downPosition, vectorCreate(e.pageX, e.pageY)) < 256;\n\tlet downPosition;\n\n\tconst handleDown = e => {\n\t\tdownPosition = vectorCreate(e.pageX, e.pageY);\n\t\tongrab(e);\n\t\tdocument.documentElement.addEventListener('pointermove', handleMove);\n\t\tdocument.documentElement.addEventListener('pointerup', handleUp);\n\t};\n\n\tconst handleUp = e => {\n\t\tdocument.documentElement.removeEventListener('pointermove', handleMove);\n\t\tdocument.documentElement.removeEventListener('pointerup', handleUp);\n\t\tconst upPosition = vectorCreate(e.pageX, e.pageY);\n\n\t\t// must have moved enough distance to drop\n\t\tif (vectorDistanceSquared(downPosition, upPosition) < 32) return onclick(e);\n\n\t\t// cant drop in button /\n\t\tif (isOverButton(e)) return;\n\n\t\t// was dragging\n\t\tondrop(e);\n\t};\n\n\tconst handleMove = e => {\n\t\t// must have moved enough distance from button\n\t\tif (isOverButton(e)) return;\n\n\t\t// dragging out of button\n\t\tondrag(e);\n\t};\n\n\t// image loading\n\tconst isImageTarget = target => element && element.contains(target) && target.nodeName === 'IMG';\n\n\tconst handleLoad = ({ target }) => {\n\t\tif (!isImageTarget(target)) return;\n\t\t$$invalidate(3, element.dataset.load = true, element);\n\t};\n\n\tconst handleError = ({ target }) => {\n\t\tif (!isImageTarget(target)) return;\n\t\t$$invalidate(3, element.dataset.error = true, element);\n\t};\n\n\tfunction button_binding($$value) {\n\t\tbinding_callbacks[$$value ? 'unshift' : 'push'](() => {\n\t\t\telement = $$value;\n\t\t\t$$invalidate(3, element);\n\t\t});\n\t}\n\n\t$$self.$$set = $$props => {\n\t\tif ('html' in $$props) $$invalidate(0, html = $$props.html);\n\t\tif ('title' in $$props) $$invalidate(1, title = $$props.title);\n\t\tif ('onclick' in $$props) $$invalidate(7, onclick = $$props.onclick);\n\t\tif ('disabled' in $$props) $$invalidate(2, disabled = $$props.disabled);\n\t\tif ('ongrab' in $$props) $$invalidate(8, ongrab = $$props.ongrab);\n\t\tif ('ondrag' in $$props) $$invalidate(9, ondrag = $$props.ondrag);\n\t\tif ('ondrop' in $$props) $$invalidate(10, ondrop = $$props.ondrop);\n\t};\n\n\t$$self.$$.update = () => {\n\t\tif ($$self.$$.dirty & /*element*/ 8) {\n\t\t\tif (element && element.querySelector('img')) $$invalidate(3, element.dataset.loader = true, element);\n\t\t}\n\t};\n\n\treturn [\n\t\thtml,\n\t\ttitle,\n\t\tdisabled,\n\t\telement,\n\t\thandleDown,\n\t\thandleLoad,\n\t\thandleError,\n\t\tonclick,\n\t\tongrab,\n\t\tondrag,\n\t\tondrop,\n\t\tbutton_binding\n\t];\n}\n\nclass DragButton extends SvelteComponent {\n\tconstructor(options) {\n\t\tsuper();\n\n\t\tinit(this, options, instance$d, create_fragment$d, safe_not_equal, {\n\t\t\thtml: 0,\n\t\t\ttitle: 1,\n\t\t\tonclick: 7,\n\t\t\tdisabled: 2,\n\t\t\tongrab: 8,\n\t\t\tondrag: 9,\n\t\t\tondrop: 10\n\t\t});\n\t}\n}\n\n/* src/core/ui/components/ShapePresetsList.svelte generated by Svelte v3.52.0 */\n\nfunction get_each_context(ctx, list, i) {\n\tconst child_ctx = ctx.slice();\n\tchild_ctx[14] = list[i];\n\treturn child_ctx;\n}\n\n// (25:4) {#each presets as preset (preset.id)}\nfunction create_each_block(key_1, ctx) {\n\tlet li;\n\tlet dragbutton;\n\tlet t;\n\tlet didMountPresetThumb_action;\n\tlet current;\n\tlet mounted;\n\tlet dispose;\n\n\tfunction func() {\n\t\treturn /*func*/ ctx[10](/*preset*/ ctx[14]);\n\t}\n\n\tfunction func_1(...args) {\n\t\treturn /*func_1*/ ctx[11](/*preset*/ ctx[14], ...args);\n\t}\n\n\tfunction func_2(...args) {\n\t\treturn /*func_2*/ ctx[12](/*preset*/ ctx[14], ...args);\n\t}\n\n\tfunction func_3(...args) {\n\t\treturn /*func_3*/ ctx[13](/*preset*/ ctx[14], ...args);\n\t}\n\n\tdragbutton = new DragButton({\n\t\t\tprops: {\n\t\t\t\tonclick: func,\n\t\t\t\tongrab: func_1,\n\t\t\t\tondrag: func_2,\n\t\t\t\tondrop: func_3,\n\t\t\t\tdisabled: /*disabled*/ ctx[1] || /*preset*/ ctx[14].disabled,\n\t\t\t\ttitle: /*preset*/ ctx[14].title,\n\t\t\t\thtml: /*preset*/ ctx[14].thumb\n\t\t\t}\n\t\t});\n\n\treturn {\n\t\tkey: key_1,\n\t\tfirst: null,\n\t\tc() {\n\t\t\tli = element(\"li\");\n\t\t\tcreate_component(dragbutton.$$.fragment);\n\t\t\tt = space();\n\t\t\tattr(li, \"class\", \"PinturaShapePreset\");\n\t\t\tattr(li, \"style\", /*style*/ ctx[6]);\n\t\t\tthis.first = li;\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, li, anchor);\n\t\t\tmount_component(dragbutton, li, null);\n\t\t\tappend(li, t);\n\t\t\tcurrent = true;\n\n\t\t\tif (!mounted) {\n\t\t\t\tdispose = action_destroyer(didMountPresetThumb_action = /*didMountPresetThumb*/ ctx[8].call(null, li, /*preset*/ ctx[14]));\n\t\t\t\tmounted = true;\n\t\t\t}\n\t\t},\n\t\tp(new_ctx, dirty) {\n\t\t\tctx = new_ctx;\n\t\t\tconst dragbutton_changes = {};\n\t\t\tif (dirty & /*onclickpreset, presets*/ 5) dragbutton_changes.onclick = func;\n\t\t\tif (dirty & /*ongrabpreset, presets*/ 9) dragbutton_changes.ongrab = func_1;\n\t\t\tif (dirty & /*ondragpreset, presets*/ 17) dragbutton_changes.ondrag = func_2;\n\t\t\tif (dirty & /*ondroppreset, presets*/ 33) dragbutton_changes.ondrop = func_3;\n\t\t\tif (dirty & /*disabled, presets*/ 3) dragbutton_changes.disabled = /*disabled*/ ctx[1] || /*preset*/ ctx[14].disabled;\n\t\t\tif (dirty & /*presets*/ 1) dragbutton_changes.title = /*preset*/ ctx[14].title;\n\t\t\tif (dirty & /*presets*/ 1) dragbutton_changes.html = /*preset*/ ctx[14].thumb;\n\t\t\tdragbutton.$set(dragbutton_changes);\n\n\t\t\tif (!current || dirty & /*style*/ 64) {\n\t\t\t\tattr(li, \"style\", /*style*/ ctx[6]);\n\t\t\t}\n\n\t\t\tif (didMountPresetThumb_action && is_function(didMountPresetThumb_action.update) && dirty & /*presets*/ 1) didMountPresetThumb_action.update.call(null, /*preset*/ ctx[14]);\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(dragbutton.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(dragbutton.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(li);\n\t\t\tdestroy_component(dragbutton);\n\t\t\tmounted = false;\n\t\t\tdispose();\n\t\t}\n\t};\n}\n\nfunction create_fragment$c(ctx) {\n\tlet ul;\n\tlet each_blocks = [];\n\tlet each_1_lookup = new Map();\n\tlet current;\n\tlet each_value = /*presets*/ ctx[0];\n\tconst get_key = ctx => /*preset*/ ctx[14].id;\n\n\tfor (let i = 0; i < each_value.length; i += 1) {\n\t\tlet child_ctx = get_each_context(ctx, each_value, i);\n\t\tlet key = get_key(child_ctx);\n\t\teach_1_lookup.set(key, each_blocks[i] = create_each_block(key, child_ctx));\n\t}\n\n\treturn {\n\t\tc() {\n\t\t\tul = element(\"ul\");\n\n\t\t\tfor (let i = 0; i < each_blocks.length; i += 1) {\n\t\t\t\teach_blocks[i].c();\n\t\t\t}\n\n\t\t\tattr(ul, \"class\", \"PinturaShapePresetsList\");\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, ul, anchor);\n\n\t\t\tfor (let i = 0; i < each_blocks.length; i += 1) {\n\t\t\t\teach_blocks[i].m(ul, null);\n\t\t\t}\n\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, [dirty]) {\n\t\t\tif (dirty & /*style, presets, onclickpreset, ongrabpreset, ondragpreset, ondroppreset, disabled*/ 127) {\n\t\t\t\teach_value = /*presets*/ ctx[0];\n\t\t\t\tgroup_outros();\n\t\t\t\teach_blocks = update_keyed_each(each_blocks, dirty, get_key, 1, ctx, each_value, each_1_lookup, ul, outro_and_destroy_block, create_each_block, null, get_each_context);\n\t\t\t\tcheck_outros();\n\t\t\t}\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\n\t\t\tfor (let i = 0; i < each_value.length; i += 1) {\n\t\t\t\ttransition_in(each_blocks[i]);\n\t\t\t}\n\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\tfor (let i = 0; i < each_blocks.length; i += 1) {\n\t\t\t\ttransition_out(each_blocks[i]);\n\t\t\t}\n\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(ul);\n\n\t\t\tfor (let i = 0; i < each_blocks.length; i += 1) {\n\t\t\t\teach_blocks[i].d();\n\t\t\t}\n\t\t}\n\t};\n}\n\nfunction instance$c($$self, $$props, $$invalidate) {\n\tlet style;\n\tlet $opacity;\n\tlet { presets } = $$props;\n\tlet { disabled = undefined } = $$props;\n\tlet { onclickpreset } = $$props;\n\tlet { ongrabpreset = undefined } = $$props;\n\tlet { ondragpreset = undefined } = $$props;\n\tlet { ondroppreset = undefined } = $$props;\n\tconst opacity = spring(0, { stiffness: 0.25, damping: 0.9 });\n\tcomponent_subscribe($$self, opacity, value => $$invalidate(9, $opacity = value));\n\tconst didMountPresetThumb = (element, item) => item.mount && item.mount(element.firstChild, item);\n\tonMount(() => opacity.set(1));\n\tconst func = preset => onclickpreset(preset.id);\n\tconst func_1 = (preset, e) => ongrabpreset && ongrabpreset(preset.id, e);\n\tconst func_2 = (preset, e) => ondragpreset && ondragpreset(preset.id, e);\n\tconst func_3 = (preset, e) => ondroppreset && ondroppreset(preset.id, e);\n\n\t$$self.$$set = $$props => {\n\t\tif ('presets' in $$props) $$invalidate(0, presets = $$props.presets);\n\t\tif ('disabled' in $$props) $$invalidate(1, disabled = $$props.disabled);\n\t\tif ('onclickpreset' in $$props) $$invalidate(2, onclickpreset = $$props.onclickpreset);\n\t\tif ('ongrabpreset' in $$props) $$invalidate(3, ongrabpreset = $$props.ongrabpreset);\n\t\tif ('ondragpreset' in $$props) $$invalidate(4, ondragpreset = $$props.ondragpreset);\n\t\tif ('ondroppreset' in $$props) $$invalidate(5, ondroppreset = $$props.ondroppreset);\n\t};\n\n\t$$self.$$.update = () => {\n\t\tif ($$self.$$.dirty & /*$opacity*/ 512) {\n\t\t\t$$invalidate(6, style = `opacity:${$opacity}`);\n\t\t}\n\t};\n\n\treturn [\n\t\tpresets,\n\t\tdisabled,\n\t\tonclickpreset,\n\t\tongrabpreset,\n\t\tondragpreset,\n\t\tondroppreset,\n\t\tstyle,\n\t\topacity,\n\t\tdidMountPresetThumb,\n\t\t$opacity,\n\t\tfunc,\n\t\tfunc_1,\n\t\tfunc_2,\n\t\tfunc_3\n\t];\n}\n\nclass ShapePresetsList extends SvelteComponent {\n\tconstructor(options) {\n\t\tsuper();\n\n\t\tinit(this, options, instance$c, create_fragment$c, safe_not_equal, {\n\t\t\tpresets: 0,\n\t\t\tdisabled: 1,\n\t\t\tonclickpreset: 2,\n\t\t\tongrabpreset: 3,\n\t\t\tondragpreset: 4,\n\t\t\tondroppreset: 5\n\t\t});\n\t}\n}\n\nvar isSVGMarkup = (str) => /<svg /.test(str);\n\n/* src/core/ui/components/ShapePresetsPalette.svelte generated by Svelte v3.52.0 */\n\nfunction create_if_block_6(ctx) {\n\tlet dynamiccomponenttree;\n\tlet current;\n\n\tdynamiccomponenttree = new DynamicComponentTree_1({\n\t\t\tprops: { items: /*presetToolbar*/ ctx[10] }\n\t\t});\n\n\treturn {\n\t\tc() {\n\t\t\tcreate_component(dynamiccomponenttree.$$.fragment);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tmount_component(dynamiccomponenttree, target, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tconst dynamiccomponenttree_changes = {};\n\t\t\tif (dirty & /*presetToolbar*/ 1024) dynamiccomponenttree_changes.items = /*presetToolbar*/ ctx[10];\n\t\t\tdynamiccomponenttree.$set(dynamiccomponenttree_changes);\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(dynamiccomponenttree.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(dynamiccomponenttree.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tdestroy_component(dynamiccomponenttree, detaching);\n\t\t}\n\t};\n}\n\n// (159:4) {#if shouldRenderPresets}\nfunction create_if_block$2(ctx) {\n\tlet current_block_type_index;\n\tlet if_block;\n\tlet if_block_anchor;\n\tlet current;\n\tconst if_block_creators = [create_if_block_1$1, create_else_block$1];\n\tconst if_blocks = [];\n\n\tfunction select_block_type_1(ctx, dirty) {\n\t\tif (/*shouldGroupPresets*/ ctx[8]) return 0;\n\t\treturn 1;\n\t}\n\n\tcurrent_block_type_index = select_block_type_1(ctx);\n\tif_block = if_blocks[current_block_type_index] = if_block_creators[current_block_type_index](ctx);\n\n\treturn {\n\t\tc() {\n\t\t\tif_block.c();\n\t\t\tif_block_anchor = empty();\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tif_blocks[current_block_type_index].m(target, anchor);\n\t\t\tinsert(target, if_block_anchor, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tlet previous_block_index = current_block_type_index;\n\t\t\tcurrent_block_type_index = select_block_type_1(ctx);\n\n\t\t\tif (current_block_type_index === previous_block_index) {\n\t\t\t\tif_blocks[current_block_type_index].p(ctx, dirty);\n\t\t\t} else {\n\t\t\t\tgroup_outros();\n\n\t\t\t\ttransition_out(if_blocks[previous_block_index], 1, 1, () => {\n\t\t\t\t\tif_blocks[previous_block_index] = null;\n\t\t\t\t});\n\n\t\t\t\tcheck_outros();\n\t\t\t\tif_block = if_blocks[current_block_type_index];\n\n\t\t\t\tif (!if_block) {\n\t\t\t\t\tif_block = if_blocks[current_block_type_index] = if_block_creators[current_block_type_index](ctx);\n\t\t\t\t\tif_block.c();\n\t\t\t\t} else {\n\t\t\t\t\tif_block.p(ctx, dirty);\n\t\t\t\t}\n\n\t\t\t\ttransition_in(if_block, 1);\n\t\t\t\tif_block.m(if_block_anchor.parentNode, if_block_anchor);\n\t\t\t}\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(if_block);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(if_block);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif_blocks[current_block_type_index].d(detaching);\n\t\t\tif (detaching) detach(if_block_anchor);\n\t\t}\n\t};\n}\n\n// (208:8) {:else}\nfunction create_else_block$1(ctx) {\n\tlet div;\n\tlet t;\n\tlet scrollable;\n\tlet current;\n\tlet if_block = /*presetToolbar*/ ctx[10] && create_if_block_5$1(ctx);\n\n\tscrollable = new Scrollable({\n\t\t\tprops: {\n\t\t\t\tscrollAutoCancel: /*shouldRenderPresets*/ ctx[9],\n\t\t\t\telasticity: /*scrollElasticity*/ ctx[0],\n\t\t\t\t$$slots: { default: [create_default_slot_5] },\n\t\t\t\t$$scope: { ctx }\n\t\t\t}\n\t\t});\n\n\treturn {\n\t\tc() {\n\t\t\tdiv = element(\"div\");\n\t\t\tif (if_block) if_block.c();\n\t\t\tt = space();\n\t\t\tcreate_component(scrollable.$$.fragment);\n\t\t\tattr(div, \"class\", \"PinturaShapePresetsFlat\");\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, div, anchor);\n\t\t\tif (if_block) if_block.m(div, null);\n\t\t\tappend(div, t);\n\t\t\tmount_component(scrollable, div, null);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tif (/*presetToolbar*/ ctx[10]) {\n\t\t\t\tif (if_block) {\n\t\t\t\t\tif_block.p(ctx, dirty);\n\n\t\t\t\t\tif (dirty & /*presetToolbar*/ 1024) {\n\t\t\t\t\t\ttransition_in(if_block, 1);\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tif_block = create_if_block_5$1(ctx);\n\t\t\t\t\tif_block.c();\n\t\t\t\t\ttransition_in(if_block, 1);\n\t\t\t\t\tif_block.m(div, t);\n\t\t\t\t}\n\t\t\t} else if (if_block) {\n\t\t\t\tgroup_outros();\n\n\t\t\t\ttransition_out(if_block, 1, 1, () => {\n\t\t\t\t\tif_block = null;\n\t\t\t\t});\n\n\t\t\t\tcheck_outros();\n\t\t\t}\n\n\t\t\tconst scrollable_changes = {};\n\t\t\tif (dirty & /*shouldRenderPresets*/ 512) scrollable_changes.scrollAutoCancel = /*shouldRenderPresets*/ ctx[9];\n\t\t\tif (dirty & /*scrollElasticity*/ 1) scrollable_changes.elasticity = /*scrollElasticity*/ ctx[0];\n\n\t\t\tif (dirty & /*$$scope, presetsMapped, onaddpreset, ongrabpreset, ondragpreset, ondroppreset*/ 536871070) {\n\t\t\t\tscrollable_changes.$$scope = { dirty, ctx };\n\t\t\t}\n\n\t\t\tscrollable.$set(scrollable_changes);\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(if_block);\n\t\t\ttransition_in(scrollable.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(if_block);\n\t\t\ttransition_out(scrollable.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(div);\n\t\t\tif (if_block) if_block.d();\n\t\t\tdestroy_component(scrollable);\n\t\t}\n\t};\n}\n\n// (161:8) {#if shouldGroupPresets}\nfunction create_if_block_1$1(ctx) {\n\tlet div;\n\tlet scrollable;\n\tlet t;\n\tlet tabpanels;\n\tlet current;\n\n\tscrollable = new Scrollable({\n\t\t\tprops: {\n\t\t\t\telasticity: /*scrollElasticity*/ ctx[0],\n\t\t\t\tclass: \"PinturaShapePresetsGroups\",\n\t\t\t\t$$slots: { default: [create_default_slot_2] },\n\t\t\t\t$$scope: { ctx }\n\t\t\t}\n\t\t});\n\n\tconst tabpanels_spread_levels = [\n\t\t{ class: \"PinturaControlPanels\" },\n\t\t{ panelClass: \"PinturaControlPanel\" },\n\t\t{ panels: /*panels*/ ctx[11] },\n\t\t/*tabsConfig*/ ctx[12]\n\t];\n\n\tlet tabpanels_props = {\n\t\t$$slots: {\n\t\t\tdefault: [\n\t\t\t\tcreate_default_slot$5,\n\t\t\t\t({ panel, panelIsActive }) => ({ 26: panel, 27: panelIsActive }),\n\t\t\t\t({ panel, panelIsActive }) => (panel ? 67108864 : 0) | (panelIsActive ? 134217728 : 0)\n\t\t\t]\n\t\t},\n\t\t$$scope: { ctx }\n\t};\n\n\tfor (let i = 0; i < tabpanels_spread_levels.length; i += 1) {\n\t\ttabpanels_props = assign(tabpanels_props, tabpanels_spread_levels[i]);\n\t}\n\n\ttabpanels = new TabPanels({ props: tabpanels_props });\n\n\treturn {\n\t\tc() {\n\t\t\tdiv = element(\"div\");\n\t\t\tcreate_component(scrollable.$$.fragment);\n\t\t\tt = space();\n\t\t\tcreate_component(tabpanels.$$.fragment);\n\t\t\tattr(div, \"class\", \"PinturaShapePresetsGrouped\");\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, div, anchor);\n\t\t\tmount_component(scrollable, div, null);\n\t\t\tappend(div, t);\n\t\t\tmount_component(tabpanels, div, null);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tconst scrollable_changes = {};\n\t\t\tif (dirty & /*scrollElasticity*/ 1) scrollable_changes.elasticity = /*scrollElasticity*/ ctx[0];\n\n\t\t\tif (dirty & /*$$scope, tabs, tabsConfig, tabSelected, presetToolbar*/ 536876128) {\n\t\t\t\tscrollable_changes.$$scope = { dirty, ctx };\n\t\t\t}\n\n\t\t\tscrollable.$set(scrollable_changes);\n\n\t\t\tconst tabpanels_changes = (dirty & /*panels, tabsConfig*/ 6144)\n\t\t\t? get_spread_update(tabpanels_spread_levels, [\n\t\t\t\t\ttabpanels_spread_levels[0],\n\t\t\t\t\ttabpanels_spread_levels[1],\n\t\t\t\t\tdirty & /*panels*/ 2048 && { panels: /*panels*/ ctx[11] },\n\t\t\t\t\tdirty & /*tabsConfig*/ 4096 && get_spread_object(/*tabsConfig*/ ctx[12])\n\t\t\t\t])\n\t\t\t: {};\n\n\t\t\tif (dirty & /*$$scope, panelIsActive, shouldRenderPresets, scrollElasticity, presetTabs, panel, onaddpreset, ongrabpreset, ondragpreset, ondroppreset*/ 738206239) {\n\t\t\t\ttabpanels_changes.$$scope = { dirty, ctx };\n\t\t\t}\n\n\t\t\ttabpanels.$set(tabpanels_changes);\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(scrollable.$$.fragment, local);\n\t\t\ttransition_in(tabpanels.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(scrollable.$$.fragment, local);\n\t\t\ttransition_out(tabpanels.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(div);\n\t\t\tdestroy_component(scrollable);\n\t\t\tdestroy_component(tabpanels);\n\t\t}\n\t};\n}\n\n// (211:16) {#if presetToolbar}\nfunction create_if_block_5$1(ctx) {\n\tlet dynamiccomponenttree;\n\tlet current;\n\n\tdynamiccomponenttree = new DynamicComponentTree_1({\n\t\t\tprops: { items: /*presetToolbar*/ ctx[10] }\n\t\t});\n\n\treturn {\n\t\tc() {\n\t\t\tcreate_component(dynamiccomponenttree.$$.fragment);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tmount_component(dynamiccomponenttree, target, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tconst dynamiccomponenttree_changes = {};\n\t\t\tif (dirty & /*presetToolbar*/ 1024) dynamiccomponenttree_changes.items = /*presetToolbar*/ ctx[10];\n\t\t\tdynamiccomponenttree.$set(dynamiccomponenttree_changes);\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(dynamiccomponenttree.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(dynamiccomponenttree.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tdestroy_component(dynamiccomponenttree, detaching);\n\t\t}\n\t};\n}\n\n// (215:16) <Scrollable scrollAutoCancel={shouldRenderPresets} elasticity={scrollElasticity}>\nfunction create_default_slot_5(ctx) {\n\tlet shapepresetslist;\n\tlet current;\n\n\tshapepresetslist = new ShapePresetsList({\n\t\t\tprops: {\n\t\t\t\tpresets: /*presetsMapped*/ ctx[7],\n\t\t\t\tonclickpreset: /*onaddpreset*/ ctx[1],\n\t\t\t\tongrabpreset: /*ongrabpreset*/ ctx[2],\n\t\t\t\tondragpreset: /*ondragpreset*/ ctx[3],\n\t\t\t\tondroppreset: /*ondroppreset*/ ctx[4]\n\t\t\t}\n\t\t});\n\n\treturn {\n\t\tc() {\n\t\t\tcreate_component(shapepresetslist.$$.fragment);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tmount_component(shapepresetslist, target, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tconst shapepresetslist_changes = {};\n\t\t\tif (dirty & /*presetsMapped*/ 128) shapepresetslist_changes.presets = /*presetsMapped*/ ctx[7];\n\t\t\tif (dirty & /*onaddpreset*/ 2) shapepresetslist_changes.onclickpreset = /*onaddpreset*/ ctx[1];\n\t\t\tif (dirty & /*ongrabpreset*/ 4) shapepresetslist_changes.ongrabpreset = /*ongrabpreset*/ ctx[2];\n\t\t\tif (dirty & /*ondragpreset*/ 8) shapepresetslist_changes.ondragpreset = /*ondragpreset*/ ctx[3];\n\t\t\tif (dirty & /*ondroppreset*/ 16) shapepresetslist_changes.ondroppreset = /*ondroppreset*/ ctx[4];\n\t\t\tshapepresetslist.$set(shapepresetslist_changes);\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(shapepresetslist.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(shapepresetslist.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tdestroy_component(shapepresetslist, detaching);\n\t\t}\n\t};\n}\n\n// (164:20) {#if presetToolbar}\nfunction create_if_block_4$1(ctx) {\n\tlet dynamiccomponenttree;\n\tlet current;\n\n\tdynamiccomponenttree = new DynamicComponentTree_1({\n\t\t\tprops: { items: /*presetToolbar*/ ctx[10] }\n\t\t});\n\n\treturn {\n\t\tc() {\n\t\t\tcreate_component(dynamiccomponenttree.$$.fragment);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tmount_component(dynamiccomponenttree, target, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tconst dynamiccomponenttree_changes = {};\n\t\t\tif (dirty & /*presetToolbar*/ 1024) dynamiccomponenttree_changes.items = /*presetToolbar*/ ctx[10];\n\t\t\tdynamiccomponenttree.$set(dynamiccomponenttree_changes);\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(dynamiccomponenttree.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(dynamiccomponenttree.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tdestroy_component(dynamiccomponenttree, detaching);\n\t\t}\n\t};\n}\n\n// (175:24) {#if tab.icon}\nfunction create_if_block_3$1(ctx) {\n\tlet icon;\n\tlet current;\n\n\ticon = new Icon({\n\t\t\tprops: {\n\t\t\t\t$$slots: { default: [create_default_slot_4] },\n\t\t\t\t$$scope: { ctx }\n\t\t\t}\n\t\t});\n\n\treturn {\n\t\tc() {\n\t\t\tcreate_component(icon.$$.fragment);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tmount_component(icon, target, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tconst icon_changes = {};\n\n\t\t\tif (dirty & /*$$scope, tab*/ 805306368) {\n\t\t\t\ticon_changes.$$scope = { dirty, ctx };\n\t\t\t}\n\n\t\t\ticon.$set(icon_changes);\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(icon.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(icon.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tdestroy_component(icon, detaching);\n\t\t}\n\t};\n}\n\n// (176:28) <Icon>\nfunction create_default_slot_4(ctx) {\n\tlet g;\n\tlet raw_value = /*tab*/ ctx[28].icon + \"\";\n\n\treturn {\n\t\tc() {\n\t\t\tg = svg_element(\"g\");\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, g, anchor);\n\t\t\tg.innerHTML = raw_value;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tif (dirty & /*tab*/ 268435456 && raw_value !== (raw_value = /*tab*/ ctx[28].icon + \"\")) g.innerHTML = raw_value;\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(g);\n\t\t}\n\t};\n}\n\n// (178:24) {#if !tab.hideLabel}\nfunction create_if_block_2$1(ctx) {\n\tlet span;\n\tlet t_value = /*tab*/ ctx[28].label + \"\";\n\tlet t;\n\n\treturn {\n\t\tc() {\n\t\t\tspan = element(\"span\");\n\t\t\tt = text(t_value);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, span, anchor);\n\t\t\tappend(span, t);\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tif (dirty & /*tab*/ 268435456 && t_value !== (t_value = /*tab*/ ctx[28].label + \"\")) set_data(t, t_value);\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(span);\n\t\t}\n\t};\n}\n\n// (167:20) <TabList                         class=\"PinturaControlList\"                         {tabs}                         {...tabsConfig}                         layout=\"compact\"                         on:select={({ detail }) => (tabSelected = detail)}                         let:tab                     >\nfunction create_default_slot_3(ctx) {\n\tlet t;\n\tlet if_block1_anchor;\n\tlet current;\n\tlet if_block0 = /*tab*/ ctx[28].icon && create_if_block_3$1(ctx);\n\tlet if_block1 = !/*tab*/ ctx[28].hideLabel && create_if_block_2$1(ctx);\n\n\treturn {\n\t\tc() {\n\t\t\tif (if_block0) if_block0.c();\n\t\t\tt = space();\n\t\t\tif (if_block1) if_block1.c();\n\t\t\tif_block1_anchor = empty();\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tif (if_block0) if_block0.m(target, anchor);\n\t\t\tinsert(target, t, anchor);\n\t\t\tif (if_block1) if_block1.m(target, anchor);\n\t\t\tinsert(target, if_block1_anchor, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tif (/*tab*/ ctx[28].icon) {\n\t\t\t\tif (if_block0) {\n\t\t\t\t\tif_block0.p(ctx, dirty);\n\n\t\t\t\t\tif (dirty & /*tab*/ 268435456) {\n\t\t\t\t\t\ttransition_in(if_block0, 1);\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tif_block0 = create_if_block_3$1(ctx);\n\t\t\t\t\tif_block0.c();\n\t\t\t\t\ttransition_in(if_block0, 1);\n\t\t\t\t\tif_block0.m(t.parentNode, t);\n\t\t\t\t}\n\t\t\t} else if (if_block0) {\n\t\t\t\tgroup_outros();\n\n\t\t\t\ttransition_out(if_block0, 1, 1, () => {\n\t\t\t\t\tif_block0 = null;\n\t\t\t\t});\n\n\t\t\t\tcheck_outros();\n\t\t\t}\n\n\t\t\tif (!/*tab*/ ctx[28].hideLabel) {\n\t\t\t\tif (if_block1) {\n\t\t\t\t\tif_block1.p(ctx, dirty);\n\t\t\t\t} else {\n\t\t\t\t\tif_block1 = create_if_block_2$1(ctx);\n\t\t\t\t\tif_block1.c();\n\t\t\t\t\tif_block1.m(if_block1_anchor.parentNode, if_block1_anchor);\n\t\t\t\t}\n\t\t\t} else if (if_block1) {\n\t\t\t\tif_block1.d(1);\n\t\t\t\tif_block1 = null;\n\t\t\t}\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(if_block0);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(if_block0);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (if_block0) if_block0.d(detaching);\n\t\t\tif (detaching) detach(t);\n\t\t\tif (if_block1) if_block1.d(detaching);\n\t\t\tif (detaching) detach(if_block1_anchor);\n\t\t}\n\t};\n}\n\n// (163:16) <Scrollable elasticity={scrollElasticity} class=\"PinturaShapePresetsGroups\">\nfunction create_default_slot_2(ctx) {\n\tlet t;\n\tlet tablist;\n\tlet current;\n\tlet if_block = /*presetToolbar*/ ctx[10] && create_if_block_4$1(ctx);\n\n\tconst tablist_spread_levels = [\n\t\t{ class: \"PinturaControlList\" },\n\t\t{ tabs: /*tabs*/ ctx[5] },\n\t\t/*tabsConfig*/ ctx[12],\n\t\t{ layout: \"compact\" }\n\t];\n\n\tlet tablist_props = {\n\t\t$$slots: {\n\t\t\tdefault: [\n\t\t\t\tcreate_default_slot_3,\n\t\t\t\t({ tab }) => ({ 28: tab }),\n\t\t\t\t({ tab }) => tab ? 268435456 : 0\n\t\t\t]\n\t\t},\n\t\t$$scope: { ctx }\n\t};\n\n\tfor (let i = 0; i < tablist_spread_levels.length; i += 1) {\n\t\ttablist_props = assign(tablist_props, tablist_spread_levels[i]);\n\t}\n\n\ttablist = new TabList({ props: tablist_props });\n\ttablist.$on(\"select\", /*select_handler*/ ctx[18]);\n\n\treturn {\n\t\tc() {\n\t\t\tif (if_block) if_block.c();\n\t\t\tt = space();\n\t\t\tcreate_component(tablist.$$.fragment);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tif (if_block) if_block.m(target, anchor);\n\t\t\tinsert(target, t, anchor);\n\t\t\tmount_component(tablist, target, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tif (/*presetToolbar*/ ctx[10]) {\n\t\t\t\tif (if_block) {\n\t\t\t\t\tif_block.p(ctx, dirty);\n\n\t\t\t\t\tif (dirty & /*presetToolbar*/ 1024) {\n\t\t\t\t\t\ttransition_in(if_block, 1);\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tif_block = create_if_block_4$1(ctx);\n\t\t\t\t\tif_block.c();\n\t\t\t\t\ttransition_in(if_block, 1);\n\t\t\t\t\tif_block.m(t.parentNode, t);\n\t\t\t\t}\n\t\t\t} else if (if_block) {\n\t\t\t\tgroup_outros();\n\n\t\t\t\ttransition_out(if_block, 1, 1, () => {\n\t\t\t\t\tif_block = null;\n\t\t\t\t});\n\n\t\t\t\tcheck_outros();\n\t\t\t}\n\n\t\t\tconst tablist_changes = (dirty & /*tabs, tabsConfig*/ 4128)\n\t\t\t? get_spread_update(tablist_spread_levels, [\n\t\t\t\t\ttablist_spread_levels[0],\n\t\t\t\t\tdirty & /*tabs*/ 32 && { tabs: /*tabs*/ ctx[5] },\n\t\t\t\t\tdirty & /*tabsConfig*/ 4096 && get_spread_object(/*tabsConfig*/ ctx[12]),\n\t\t\t\t\ttablist_spread_levels[3]\n\t\t\t\t])\n\t\t\t: {};\n\n\t\t\tif (dirty & /*$$scope, tab*/ 805306368) {\n\t\t\t\ttablist_changes.$$scope = { dirty, ctx };\n\t\t\t}\n\n\t\t\ttablist.$set(tablist_changes);\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(if_block);\n\t\t\ttransition_in(tablist.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(if_block);\n\t\t\ttransition_out(tablist.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (if_block) if_block.d(detaching);\n\t\t\tif (detaching) detach(t);\n\t\t\tdestroy_component(tablist, detaching);\n\t\t}\n\t};\n}\n\n// (192:20) <Scrollable                         scroll={panelIsActive ? { scrollOffset: 0, animate: false } : undefined}                         scrollAutoCancel={shouldRenderPresets}                         elasticity={scrollElasticity}                     >\nfunction create_default_slot_1$1(ctx) {\n\tlet shapepresetslist;\n\tlet current;\n\n\tshapepresetslist = new ShapePresetsList({\n\t\t\tprops: {\n\t\t\t\tpresets: /*presetTabs*/ ctx[13][/*panel*/ ctx[26]].items,\n\t\t\t\tdisabled: /*presetTabs*/ ctx[13][/*panel*/ ctx[26]].disabled,\n\t\t\t\tonclickpreset: /*onaddpreset*/ ctx[1],\n\t\t\t\tongrabpreset: /*ongrabpreset*/ ctx[2],\n\t\t\t\tondragpreset: /*ondragpreset*/ ctx[3],\n\t\t\t\tondroppreset: /*ondroppreset*/ ctx[4]\n\t\t\t}\n\t\t});\n\n\treturn {\n\t\tc() {\n\t\t\tcreate_component(shapepresetslist.$$.fragment);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tmount_component(shapepresetslist, target, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tconst shapepresetslist_changes = {};\n\t\t\tif (dirty & /*presetTabs, panel*/ 67117056) shapepresetslist_changes.presets = /*presetTabs*/ ctx[13][/*panel*/ ctx[26]].items;\n\t\t\tif (dirty & /*presetTabs, panel*/ 67117056) shapepresetslist_changes.disabled = /*presetTabs*/ ctx[13][/*panel*/ ctx[26]].disabled;\n\t\t\tif (dirty & /*onaddpreset*/ 2) shapepresetslist_changes.onclickpreset = /*onaddpreset*/ ctx[1];\n\t\t\tif (dirty & /*ongrabpreset*/ 4) shapepresetslist_changes.ongrabpreset = /*ongrabpreset*/ ctx[2];\n\t\t\tif (dirty & /*ondragpreset*/ 8) shapepresetslist_changes.ondragpreset = /*ondragpreset*/ ctx[3];\n\t\t\tif (dirty & /*ondroppreset*/ 16) shapepresetslist_changes.ondroppreset = /*ondroppreset*/ ctx[4];\n\t\t\tshapepresetslist.$set(shapepresetslist_changes);\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(shapepresetslist.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(shapepresetslist.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tdestroy_component(shapepresetslist, detaching);\n\t\t}\n\t};\n}\n\n// (184:16) <TabPanels                     class=\"PinturaControlPanels\"                     panelClass=\"PinturaControlPanel\"                     {panels}                     {...tabsConfig}                     let:panel                     let:panelIsActive                 >\nfunction create_default_slot$5(ctx) {\n\tlet scrollable;\n\tlet current;\n\n\tscrollable = new Scrollable({\n\t\t\tprops: {\n\t\t\t\tscroll: /*panelIsActive*/ ctx[27]\n\t\t\t\t? { scrollOffset: 0, animate: false }\n\t\t\t\t: undefined,\n\t\t\t\tscrollAutoCancel: /*shouldRenderPresets*/ ctx[9],\n\t\t\t\telasticity: /*scrollElasticity*/ ctx[0],\n\t\t\t\t$$slots: { default: [create_default_slot_1$1] },\n\t\t\t\t$$scope: { ctx }\n\t\t\t}\n\t\t});\n\n\treturn {\n\t\tc() {\n\t\t\tcreate_component(scrollable.$$.fragment);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tmount_component(scrollable, target, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tconst scrollable_changes = {};\n\n\t\t\tif (dirty & /*panelIsActive*/ 134217728) scrollable_changes.scroll = /*panelIsActive*/ ctx[27]\n\t\t\t? { scrollOffset: 0, animate: false }\n\t\t\t: undefined;\n\n\t\t\tif (dirty & /*shouldRenderPresets*/ 512) scrollable_changes.scrollAutoCancel = /*shouldRenderPresets*/ ctx[9];\n\t\t\tif (dirty & /*scrollElasticity*/ 1) scrollable_changes.elasticity = /*scrollElasticity*/ ctx[0];\n\n\t\t\tif (dirty & /*$$scope, presetTabs, panel, onaddpreset, ongrabpreset, ondragpreset, ondroppreset*/ 603987998) {\n\t\t\t\tscrollable_changes.$$scope = { dirty, ctx };\n\t\t\t}\n\n\t\t\tscrollable.$set(scrollable_changes);\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(scrollable.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(scrollable.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tdestroy_component(scrollable, detaching);\n\t\t}\n\t};\n}\n\nfunction create_fragment$b(ctx) {\n\tlet div;\n\tlet current_block_type_index;\n\tlet if_block;\n\tlet current;\n\tconst if_block_creators = [create_if_block$2, create_if_block_6];\n\tconst if_blocks = [];\n\n\tfunction select_block_type(ctx, dirty) {\n\t\tif (/*shouldRenderPresets*/ ctx[9]) return 0;\n\t\tif (/*presetToolbar*/ ctx[10]) return 1;\n\t\treturn -1;\n\t}\n\n\tif (~(current_block_type_index = select_block_type(ctx))) {\n\t\tif_block = if_blocks[current_block_type_index] = if_block_creators[current_block_type_index](ctx);\n\t}\n\n\treturn {\n\t\tc() {\n\t\t\tdiv = element(\"div\");\n\t\t\tif (if_block) if_block.c();\n\t\t\tattr(div, \"class\", \"PinturaShapePresetsPalette\");\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, div, anchor);\n\n\t\t\tif (~current_block_type_index) {\n\t\t\t\tif_blocks[current_block_type_index].m(div, null);\n\t\t\t}\n\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, [dirty]) {\n\t\t\tlet previous_block_index = current_block_type_index;\n\t\t\tcurrent_block_type_index = select_block_type(ctx);\n\n\t\t\tif (current_block_type_index === previous_block_index) {\n\t\t\t\tif (~current_block_type_index) {\n\t\t\t\t\tif_blocks[current_block_type_index].p(ctx, dirty);\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\tif (if_block) {\n\t\t\t\t\tgroup_outros();\n\n\t\t\t\t\ttransition_out(if_blocks[previous_block_index], 1, 1, () => {\n\t\t\t\t\t\tif_blocks[previous_block_index] = null;\n\t\t\t\t\t});\n\n\t\t\t\t\tcheck_outros();\n\t\t\t\t}\n\n\t\t\t\tif (~current_block_type_index) {\n\t\t\t\t\tif_block = if_blocks[current_block_type_index];\n\n\t\t\t\t\tif (!if_block) {\n\t\t\t\t\t\tif_block = if_blocks[current_block_type_index] = if_block_creators[current_block_type_index](ctx);\n\t\t\t\t\t\tif_block.c();\n\t\t\t\t\t} else {\n\t\t\t\t\t\tif_block.p(ctx, dirty);\n\t\t\t\t\t}\n\n\t\t\t\t\ttransition_in(if_block, 1);\n\t\t\t\t\tif_block.m(div, null);\n\t\t\t\t} else {\n\t\t\t\t\tif_block = null;\n\t\t\t\t}\n\t\t\t}\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(if_block);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(if_block);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(div);\n\n\t\t\tif (~current_block_type_index) {\n\t\t\t\tif_blocks[current_block_type_index].d();\n\t\t\t}\n\t\t}\n\t};\n}\n\nfunction instance$b($$self, $$props, $$invalidate) {\n\tlet presetsMapped;\n\tlet shouldRenderPresets;\n\tlet shouldGroupPresets;\n\tlet tabs;\n\tlet presetTabs;\n\tlet tabSelected;\n\tlet tabsConfig;\n\tlet panels;\n\tlet presetToolbar;\n\tlet { locale } = $$props;\n\tlet { presets } = $$props;\n\tlet { scrollElasticity } = $$props;\n\tlet { enableSelectImage = true } = $$props;\n\tlet { willRenderPresetToolbar = passthrough } = $$props;\n\tlet { onaddpreset = noop$1 } = $$props;\n\tlet { ongrabpreset = undefined } = $$props;\n\tlet { ondragpreset = undefined } = $$props;\n\tlet { ondroppreset = undefined } = $$props;\n\tconst uid = `presets-${getUniqueId()}`;\n\tconst isPresetGroup = item => isArray(item) && isString(item[0]) && isArray(item[1]);\n\n\tconst getPresetThumb = (value, alt = '') => {\n\t\t// could be svg\n\t\tif (isSVGMarkup(value)) return value;\n\n\t\t// test if is emoji\n\t\tif (isEmoji(value)) return getEmojiSVG(value, alt);\n\n\t\t// must be URL\n\t\treturn `<img src=\"${value}\" alt=\"${alt}\"/>`;\n\t};\n\n\tconst getAltFromSrc = src => getFilenameWithoutExtension(getFilenameFromURL(src));\n\tconst excludedStickerItemProps = ['src', 'alt', 'thumb', 'shape', 'id', 'mount', 'disabled'];\n\n\tconst mapPreset = item => {\n\t\tlet id = item;\n\t\tlet src;\n\t\tlet shape;\n\t\tlet shapeProps;\n\t\tlet thumb;\n\t\tlet alt;\n\t\tlet mount;\n\t\tlet disabled;\n\n\t\t// if item is a string, it's either an emoji or a URL\n\t\tif (isString(item)) {\n\t\t\t// is emoji\n\t\t\tif (isEmoji(item)) {\n\t\t\t\tsrc = item;\n\t\t\t\talt = item;\n\t\t\t\tthumb = getPresetThumb(src, alt);\n\t\t\t} else // must be URL\n\t\t\t{\n\t\t\t\tsrc = item;\n\t\t\t\talt = getAltFromSrc(src);\n\t\t\t\tthumb = getPresetThumb(src, alt);\n\t\t\t}\n\t\t} else {\n\t\t\t// set custom thumbnail if defined\n\t\t\tsrc = item.src;\n\n\t\t\talt = item.alt || (isString(src)\n\t\t\t? getAltFromSrc(src)\n\t\t\t: isString(item.thumb)\n\t\t\t\t? getAltFromSrc(item.thumb)\n\t\t\t\t: undefined);\n\n\t\t\tthumb = getPresetThumb(item.thumb || src, alt);\n\t\t\tshape = item.shape;\n\t\t\tmount = item.mount;\n\t\t\tdisabled = item.disabled;\n\n\t\t\tshapeProps = Object.keys(item).reduce(\n\t\t\t\t(prev, curr) => {\n\t\t\t\t\tif (excludedStickerItemProps.includes(curr)) return prev;\n\t\t\t\t\tprev[curr] = item[curr];\n\t\t\t\t\treturn prev;\n\t\t\t\t},\n\t\t\t\t{}\n\t\t\t);\n\t\t}\n\n\t\treturn {\n\t\t\tid,\n\t\t\tsrc,\n\t\t\tthumb,\n\t\t\tshape,\n\t\t\tshapeProps,\n\t\t\talt,\n\t\t\ttitle: alt,\n\t\t\tmount,\n\t\t\tdisabled\n\t\t};\n\t};\n\n\tconst mapPresets = items => items.map(item => {\n\t\tif (isPresetGroup(item)) {\n\t\t\treturn {\n\t\t\t\t...item[2],\n\t\t\t\tid: `${uid}-${item[0].toLowerCase()}`,\n\t\t\t\tlabel: item[0],\n\t\t\t\titems: mapPresets(item[1])\n\t\t\t};\n\t\t}\n\n\t\treturn mapPreset(item);\n\t});\n\n\tconst select_handler = ({ detail }) => $$invalidate(6, tabSelected = detail);\n\n\t$$self.$$set = $$props => {\n\t\tif ('locale' in $$props) $$invalidate(14, locale = $$props.locale);\n\t\tif ('presets' in $$props) $$invalidate(15, presets = $$props.presets);\n\t\tif ('scrollElasticity' in $$props) $$invalidate(0, scrollElasticity = $$props.scrollElasticity);\n\t\tif ('enableSelectImage' in $$props) $$invalidate(16, enableSelectImage = $$props.enableSelectImage);\n\t\tif ('willRenderPresetToolbar' in $$props) $$invalidate(17, willRenderPresetToolbar = $$props.willRenderPresetToolbar);\n\t\tif ('onaddpreset' in $$props) $$invalidate(1, onaddpreset = $$props.onaddpreset);\n\t\tif ('ongrabpreset' in $$props) $$invalidate(2, ongrabpreset = $$props.ongrabpreset);\n\t\tif ('ondragpreset' in $$props) $$invalidate(3, ondragpreset = $$props.ondragpreset);\n\t\tif ('ondroppreset' in $$props) $$invalidate(4, ondroppreset = $$props.ondroppreset);\n\t};\n\n\t$$self.$$.update = () => {\n\t\tif ($$self.$$.dirty & /*presets*/ 32768) {\n\t\t\t$$invalidate(7, presetsMapped = mapPresets(presets));\n\t\t}\n\n\t\tif ($$self.$$.dirty & /*presetsMapped*/ 128) {\n\t\t\t$$invalidate(9, shouldRenderPresets = presetsMapped.length);\n\t\t}\n\n\t\tif ($$self.$$.dirty & /*shouldRenderPresets, presetsMapped*/ 640) {\n\t\t\t$$invalidate(8, shouldGroupPresets = shouldRenderPresets && presetsMapped.some(preset => !!preset.items));\n\t\t}\n\n\t\tif ($$self.$$.dirty & /*shouldGroupPresets, presetsMapped*/ 384) {\n\t\t\t$$invalidate(5, tabs = shouldGroupPresets && presetsMapped);\n\t\t}\n\n\t\tif ($$self.$$.dirty & /*shouldGroupPresets, presetsMapped*/ 384) {\n\t\t\t$$invalidate(13, presetTabs = shouldGroupPresets && presetsMapped.reduce(\n\t\t\t\t(prev, curr) => {\n\t\t\t\t\tprev[curr.id] = curr;\n\t\t\t\t\treturn prev;\n\t\t\t\t},\n\t\t\t\t{}\n\t\t\t));\n\t\t}\n\n\t\tif ($$self.$$.dirty & /*tabSelected, tabs*/ 96) {\n\t\t\t$$invalidate(6, tabSelected = tabSelected || tabs && (tabs.find(tab => !tab.disabled) || {}).id);\n\t\t}\n\n\t\tif ($$self.$$.dirty & /*tabSelected*/ 64) {\n\t\t\t$$invalidate(12, tabsConfig = { name: uid, selected: tabSelected });\n\t\t}\n\n\t\tif ($$self.$$.dirty & /*tabs*/ 32) {\n\t\t\t$$invalidate(11, panels = tabs && tabs.map(tab => tab.id));\n\t\t}\n\n\t\tif ($$self.$$.dirty & /*locale, willRenderPresetToolbar, enableSelectImage, onaddpreset*/ 212994) {\n\t\t\t$$invalidate(10, presetToolbar = locale && willRenderPresetToolbar([\n\t\t\t\tenableSelectImage && [\n\t\t\t\t\t'Button',\n\t\t\t\t\t'browse',\n\t\t\t\t\t{\n\t\t\t\t\t\tlabel: locale.shapeLabelButtonSelectSticker,\n\t\t\t\t\t\ticon: locale.shapeIconButtonSelectSticker,\n\t\t\t\t\t\tonclick: () => {\n\t\t\t\t\t\t\tbrowse().then(file => {\n\t\t\t\t\t\t\t\tif (!file) return;\n\t\t\t\t\t\t\t\tonaddpreset(file);\n\t\t\t\t\t\t\t});\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t]\n\t\t\t]));\n\t\t}\n\t};\n\n\treturn [\n\t\tscrollElasticity,\n\t\tonaddpreset,\n\t\tongrabpreset,\n\t\tondragpreset,\n\t\tondroppreset,\n\t\ttabs,\n\t\ttabSelected,\n\t\tpresetsMapped,\n\t\tshouldGroupPresets,\n\t\tshouldRenderPresets,\n\t\tpresetToolbar,\n\t\tpanels,\n\t\ttabsConfig,\n\t\tpresetTabs,\n\t\tlocale,\n\t\tpresets,\n\t\tenableSelectImage,\n\t\twillRenderPresetToolbar,\n\t\tselect_handler\n\t];\n}\n\nclass ShapePresetsPalette extends SvelteComponent {\n\tconstructor(options) {\n\t\tsuper();\n\n\t\tinit(this, options, instance$b, create_fragment$b, safe_not_equal, {\n\t\t\tlocale: 14,\n\t\t\tpresets: 15,\n\t\t\tscrollElasticity: 0,\n\t\t\tenableSelectImage: 16,\n\t\t\twillRenderPresetToolbar: 17,\n\t\t\tonaddpreset: 1,\n\t\t\tongrabpreset: 2,\n\t\t\tondragpreset: 3,\n\t\t\tondroppreset: 4\n\t\t});\n\t}\n}\n\nvar createPingDispatcher = (node) => (type, data) => {\n    node.dispatchEvent(createPing(type, data));\n};\n\n/* src/core/ui/components/ShapeUtil.svelte generated by Svelte v3.52.0 */\n\nfunction create_if_block_5(ctx) {\n\tlet shapelayouteditor;\n\tlet updating_markup;\n\tlet updating_ui;\n\tlet current;\n\n\tconst shapelayouteditor_spread_levels = [\n\t\t{ locale: /*locale*/ ctx[4] },\n\t\t{ uid: /*utilKey*/ ctx[14] },\n\t\t{ parentRect: /*$parentRect*/ ctx[29] },\n\t\t{ rootRect: /*$rootRect*/ ctx[43] },\n\t\t{ utilRect: /*$utilRectPadded*/ ctx[30] },\n\t\t{ offset: /*markupOffset*/ ctx[38] },\n\t\t{\n\t\t\tdisabled: /*$enablePanInputStatus*/ ctx[28]\n\t\t},\n\t\t{\n\t\t\tcontextRotation: /*imageRotation*/ ctx[17]\n\t\t},\n\t\t{ contextFlipX: /*imageFlipX*/ ctx[18] },\n\t\t{ contextFlipY: /*imageFlipY*/ ctx[19] },\n\t\t{\n\t\t\tcontextZoom: /*$imageSelectionZoomCurrent*/ ctx[42]\n\t\t},\n\t\t{ active: /*$isActive*/ ctx[26] },\n\t\t{ opacity: /*$isActiveFraction*/ ctx[45] },\n\t\t{\n\t\t\thoverColor: /*$rootColorSecondary*/ ctx[46]\n\t\t},\n\t\t{ eraseRadius: /*toolEraseRadius*/ ctx[37] },\n\t\t{\n\t\t\tselectRadius: /*toolSelectRadius*/ ctx[6]\n\t\t},\n\t\t{\n\t\t\tenableButtonFlipVertical: /*enableButtonFlipVertical*/ ctx[9]\n\t\t},\n\t\t{\n\t\t\tmapEditorPointToImagePoint: /*mapScreenPointToImagePoint*/ ctx[15]\n\t\t},\n\t\t{\n\t\t\tmapImagePointToEditorPoint: /*mapImagePointToScreenPoint*/ ctx[16]\n\t\t},\n\t\t{\n\t\t\tenableTapToAddText: /*enableTapToAddText*/ ctx[12]\n\t\t},\n\t\t{ textInputMode: /*textInputMode*/ ctx[7] },\n\t\t{\n\t\t\twillStartInteraction: /*handleWillStartInteraction*/ ctx[80]\n\t\t},\n\t\t{\n\t\t\toninteractionstart: /*handleInteractionStart*/ ctx[66]\n\t\t},\n\t\t{\n\t\t\toninteractionupdate: /*handleInteractionUpdate*/ ctx[67]\n\t\t},\n\t\t{\n\t\t\toninteractionrelease: /*handleInteractionRelease*/ ctx[68]\n\t\t},\n\t\t{\n\t\t\toninteractionend: /*handleInteractionEnd*/ ctx[70]\n\t\t},\n\t\t{\n\t\t\toninteractioncancel: /*handleInteractionCancel*/ ctx[69]\n\t\t},\n\t\t{\n\t\t\tonhovershape: /*handleHoverShape*/ ctx[74]\n\t\t},\n\t\t{ ontapcanvas: /*handleTapCanvas*/ ctx[73] },\n\t\t{ onaddshape: /*func_1*/ ctx[123] },\n\t\t{ onselectshape: /*func_2*/ ctx[124] },\n\t\t{ ontapshape: /*func_3*/ ctx[125] },\n\t\t{ onupdateshape: /*func_4*/ ctx[126] },\n\t\t{ onremoveshape: /*func_5*/ ctx[127] },\n\t\t/*layoutEditorHooks*/ ctx[32]\n\t];\n\n\tfunction shapelayouteditor_markup_binding(value) {\n\t\t/*shapelayouteditor_markup_binding*/ ctx[129](value);\n\t}\n\n\tfunction shapelayouteditor_ui_binding(value) {\n\t\t/*shapelayouteditor_ui_binding*/ ctx[130](value);\n\t}\n\n\tlet shapelayouteditor_props = {};\n\n\tfor (let i = 0; i < shapelayouteditor_spread_levels.length; i += 1) {\n\t\tshapelayouteditor_props = assign(shapelayouteditor_props, shapelayouteditor_spread_levels[i]);\n\t}\n\n\tif (/*$shapes*/ ctx[27] !== void 0) {\n\t\tshapelayouteditor_props.markup = /*$shapes*/ ctx[27];\n\t}\n\n\tif (/*$imageOverlayMarkup*/ ctx[44] !== void 0) {\n\t\tshapelayouteditor_props.ui = /*$imageOverlayMarkup*/ ctx[44];\n\t}\n\n\tshapelayouteditor = new ShapeLayoutEditor({ props: shapelayouteditor_props });\n\t/*shapelayouteditor_binding*/ ctx[128](shapelayouteditor);\n\tbinding_callbacks.push(() => bind(shapelayouteditor, 'markup', shapelayouteditor_markup_binding));\n\tbinding_callbacks.push(() => bind(shapelayouteditor, 'ui', shapelayouteditor_ui_binding));\n\n\treturn {\n\t\tc() {\n\t\t\tcreate_component(shapelayouteditor.$$.fragment);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tmount_component(shapelayouteditor, target, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tconst shapelayouteditor_changes = (dirty[0] & /*locale, utilKey, $parentRect, $utilRectPadded, $enablePanInputStatus, imageRotation, imageFlipX, imageFlipY, $isActive, toolSelectRadius, enableButtonFlipVertical, mapScreenPointToImagePoint, mapImagePointToScreenPoint, enableTapToAddText, textInputMode, ping*/ 1955582672 | dirty[1] & /*$rootRect, markupOffset, $imageSelectionZoomCurrent, $isActiveFraction, $rootColorSecondary, toolEraseRadius, layoutEditorHooks*/ 55490 | dirty[2] & /*handleWillStartInteraction, handleInteractionStart, handleInteractionUpdate, handleInteractionRelease, handleInteractionEnd, handleInteractionCancel, handleHoverShape, handleTapCanvas, handleMarkupUpdate*/ 793072)\n\t\t\t? get_spread_update(shapelayouteditor_spread_levels, [\n\t\t\t\t\tdirty[0] & /*locale*/ 16 && { locale: /*locale*/ ctx[4] },\n\t\t\t\t\tdirty[0] & /*utilKey*/ 16384 && { uid: /*utilKey*/ ctx[14] },\n\t\t\t\t\tdirty[0] & /*$parentRect*/ 536870912 && { parentRect: /*$parentRect*/ ctx[29] },\n\t\t\t\t\tdirty[1] & /*$rootRect*/ 4096 && { rootRect: /*$rootRect*/ ctx[43] },\n\t\t\t\t\tdirty[0] & /*$utilRectPadded*/ 1073741824 && { utilRect: /*$utilRectPadded*/ ctx[30] },\n\t\t\t\t\tdirty[1] & /*markupOffset*/ 128 && { offset: /*markupOffset*/ ctx[38] },\n\t\t\t\t\tdirty[0] & /*$enablePanInputStatus*/ 268435456 && {\n\t\t\t\t\t\tdisabled: /*$enablePanInputStatus*/ ctx[28]\n\t\t\t\t\t},\n\t\t\t\t\tdirty[0] & /*imageRotation*/ 131072 && {\n\t\t\t\t\t\tcontextRotation: /*imageRotation*/ ctx[17]\n\t\t\t\t\t},\n\t\t\t\t\tdirty[0] & /*imageFlipX*/ 262144 && { contextFlipX: /*imageFlipX*/ ctx[18] },\n\t\t\t\t\tdirty[0] & /*imageFlipY*/ 524288 && { contextFlipY: /*imageFlipY*/ ctx[19] },\n\t\t\t\t\tdirty[1] & /*$imageSelectionZoomCurrent*/ 2048 && {\n\t\t\t\t\t\tcontextZoom: /*$imageSelectionZoomCurrent*/ ctx[42]\n\t\t\t\t\t},\n\t\t\t\t\tdirty[0] & /*$isActive*/ 67108864 && { active: /*$isActive*/ ctx[26] },\n\t\t\t\t\tdirty[1] & /*$isActiveFraction*/ 16384 && { opacity: /*$isActiveFraction*/ ctx[45] },\n\t\t\t\t\tdirty[1] & /*$rootColorSecondary*/ 32768 && {\n\t\t\t\t\t\thoverColor: /*$rootColorSecondary*/ ctx[46]\n\t\t\t\t\t},\n\t\t\t\t\tdirty[1] & /*toolEraseRadius*/ 64 && { eraseRadius: /*toolEraseRadius*/ ctx[37] },\n\t\t\t\t\tdirty[0] & /*toolSelectRadius*/ 64 && {\n\t\t\t\t\t\tselectRadius: /*toolSelectRadius*/ ctx[6]\n\t\t\t\t\t},\n\t\t\t\t\tdirty[0] & /*enableButtonFlipVertical*/ 512 && {\n\t\t\t\t\t\tenableButtonFlipVertical: /*enableButtonFlipVertical*/ ctx[9]\n\t\t\t\t\t},\n\t\t\t\t\tdirty[0] & /*mapScreenPointToImagePoint*/ 32768 && {\n\t\t\t\t\t\tmapEditorPointToImagePoint: /*mapScreenPointToImagePoint*/ ctx[15]\n\t\t\t\t\t},\n\t\t\t\t\tdirty[0] & /*mapImagePointToScreenPoint*/ 65536 && {\n\t\t\t\t\t\tmapImagePointToEditorPoint: /*mapImagePointToScreenPoint*/ ctx[16]\n\t\t\t\t\t},\n\t\t\t\t\tdirty[0] & /*enableTapToAddText*/ 4096 && {\n\t\t\t\t\t\tenableTapToAddText: /*enableTapToAddText*/ ctx[12]\n\t\t\t\t\t},\n\t\t\t\t\tdirty[0] & /*textInputMode*/ 128 && { textInputMode: /*textInputMode*/ ctx[7] },\n\t\t\t\t\tdirty[2] & /*handleWillStartInteraction*/ 262144 && {\n\t\t\t\t\t\twillStartInteraction: /*handleWillStartInteraction*/ ctx[80]\n\t\t\t\t\t},\n\t\t\t\t\tdirty[2] & /*handleInteractionStart*/ 16 && {\n\t\t\t\t\t\toninteractionstart: /*handleInteractionStart*/ ctx[66]\n\t\t\t\t\t},\n\t\t\t\t\tdirty[2] & /*handleInteractionUpdate*/ 32 && {\n\t\t\t\t\t\toninteractionupdate: /*handleInteractionUpdate*/ ctx[67]\n\t\t\t\t\t},\n\t\t\t\t\tdirty[2] & /*handleInteractionRelease*/ 64 && {\n\t\t\t\t\t\toninteractionrelease: /*handleInteractionRelease*/ ctx[68]\n\t\t\t\t\t},\n\t\t\t\t\tdirty[2] & /*handleInteractionEnd*/ 256 && {\n\t\t\t\t\t\toninteractionend: /*handleInteractionEnd*/ ctx[70]\n\t\t\t\t\t},\n\t\t\t\t\tdirty[2] & /*handleInteractionCancel*/ 128 && {\n\t\t\t\t\t\toninteractioncancel: /*handleInteractionCancel*/ ctx[69]\n\t\t\t\t\t},\n\t\t\t\t\tdirty[2] & /*handleHoverShape*/ 4096 && {\n\t\t\t\t\t\tonhovershape: /*handleHoverShape*/ ctx[74]\n\t\t\t\t\t},\n\t\t\t\t\tdirty[2] & /*handleTapCanvas*/ 2048 && { ontapcanvas: /*handleTapCanvas*/ ctx[73] },\n\t\t\t\t\tdirty[0] & /*ping*/ 8388608 | dirty[2] & /*handleMarkupUpdate*/ 524288 && { onaddshape: /*func_1*/ ctx[123] },\n\t\t\t\t\tdirty[0] & /*ping*/ 8388608 && { onselectshape: /*func_2*/ ctx[124] },\n\t\t\t\t\tdirty[0] & /*ping*/ 8388608 && { ontapshape: /*func_3*/ ctx[125] },\n\t\t\t\t\tdirty[0] & /*ping*/ 8388608 | dirty[2] & /*handleMarkupUpdate*/ 524288 && { onupdateshape: /*func_4*/ ctx[126] },\n\t\t\t\t\tdirty[0] & /*ping*/ 8388608 | dirty[2] & /*handleMarkupUpdate*/ 524288 && { onremoveshape: /*func_5*/ ctx[127] },\n\t\t\t\t\tdirty[1] & /*layoutEditorHooks*/ 2 && get_spread_object(/*layoutEditorHooks*/ ctx[32])\n\t\t\t\t])\n\t\t\t: {};\n\n\t\t\tif (!updating_markup && dirty[0] & /*$shapes*/ 134217728) {\n\t\t\t\tupdating_markup = true;\n\t\t\t\tshapelayouteditor_changes.markup = /*$shapes*/ ctx[27];\n\t\t\t\tadd_flush_callback(() => updating_markup = false);\n\t\t\t}\n\n\t\t\tif (!updating_ui && dirty[1] & /*$imageOverlayMarkup*/ 8192) {\n\t\t\t\tupdating_ui = true;\n\t\t\t\tshapelayouteditor_changes.ui = /*$imageOverlayMarkup*/ ctx[44];\n\t\t\t\tadd_flush_callback(() => updating_ui = false);\n\t\t\t}\n\n\t\t\tshapelayouteditor.$set(shapelayouteditor_changes);\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(shapelayouteditor.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(shapelayouteditor.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\t/*shapelayouteditor_binding*/ ctx[128](null);\n\t\t\tdestroy_component(shapelayouteditor, detaching);\n\t\t}\n\t};\n}\n\n// (939:4) \nfunction create_main_slot(ctx) {\n\tlet div;\n\tlet div_style_value;\n\tlet current;\n\tlet mounted;\n\tlet dispose;\n\tlet if_block = /*shouldRenderShapeEditor*/ ctx[39] && create_if_block_5(ctx);\n\n\treturn {\n\t\tc() {\n\t\t\tdiv = element(\"div\");\n\t\t\tif (if_block) if_block.c();\n\t\t\tattr(div, \"slot\", \"main\");\n\t\t\tattr(div, \"style\", div_style_value = `cursor:${/*cursor*/ ctx[35]}`);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, div, anchor);\n\t\t\tif (if_block) if_block.m(div, null);\n\t\t\t/*div_binding*/ ctx[131](div);\n\t\t\tcurrent = true;\n\n\t\t\tif (!mounted) {\n\t\t\t\tdispose = [\n\t\t\t\t\tlisten(div, \"keydown\", /*handleKey*/ ctx[71]),\n\t\t\t\t\taction_destroyer(dropable.call(null, div)),\n\t\t\t\t\tlisten(div, \"dropfiles\", function () {\n\t\t\t\t\t\tif (is_function(/*enablePresetDropImage*/ ctx[11]\n\t\t\t\t\t\t? /*handleDropFiles*/ ctx[79]\n\t\t\t\t\t\t: noop$1)) (/*enablePresetDropImage*/ ctx[11]\n\t\t\t\t\t\t? /*handleDropFiles*/ ctx[79]\n\t\t\t\t\t\t: noop$1).apply(this, arguments);\n\t\t\t\t\t}),\n\t\t\t\t\taction_destroyer(measurable.call(null, div)),\n\t\t\t\t\tlisten(div, \"measure\", /*measure_handler_1*/ ctx[121])\n\t\t\t\t];\n\n\t\t\t\tmounted = true;\n\t\t\t}\n\t\t},\n\t\tp(new_ctx, dirty) {\n\t\t\tctx = new_ctx;\n\n\t\t\tif (/*shouldRenderShapeEditor*/ ctx[39]) {\n\t\t\t\tif (if_block) {\n\t\t\t\t\tif_block.p(ctx, dirty);\n\n\t\t\t\t\tif (dirty[1] & /*shouldRenderShapeEditor*/ 256) {\n\t\t\t\t\t\ttransition_in(if_block, 1);\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tif_block = create_if_block_5(ctx);\n\t\t\t\t\tif_block.c();\n\t\t\t\t\ttransition_in(if_block, 1);\n\t\t\t\t\tif_block.m(div, null);\n\t\t\t\t}\n\t\t\t} else if (if_block) {\n\t\t\t\tgroup_outros();\n\n\t\t\t\ttransition_out(if_block, 1, 1, () => {\n\t\t\t\t\tif_block = null;\n\t\t\t\t});\n\n\t\t\t\tcheck_outros();\n\t\t\t}\n\n\t\t\tif (!current || dirty[1] & /*cursor*/ 16 && div_style_value !== (div_style_value = `cursor:${/*cursor*/ ctx[35]}`)) {\n\t\t\t\tattr(div, \"style\", div_style_value);\n\t\t\t}\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(if_block);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(if_block);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(div);\n\t\t\tif (if_block) if_block.d();\n\t\t\t/*div_binding*/ ctx[131](null);\n\t\t\tmounted = false;\n\t\t\trun_all(dispose);\n\t\t}\n\t};\n}\n\n// (1072:38) \nfunction create_if_block_4(ctx) {\n\tlet shapepresetspalette;\n\tlet current;\n\n\tshapepresetspalette = new ShapePresetsPalette({\n\t\t\tprops: {\n\t\t\t\tlocale: /*locale*/ ctx[4],\n\t\t\t\tpresets: /*shapePresets*/ ctx[13],\n\t\t\t\tenableSelectImage: /*enablePresetSelectImage*/ ctx[10],\n\t\t\t\twillRenderPresetToolbar: /*runWillRenderPresetToolbarHook*/ ctx[33],\n\t\t\t\tonaddpreset: /*handleAddPreset*/ ctx[78],\n\t\t\t\tongrabpreset: /*handleGrabPreset*/ ctx[75],\n\t\t\t\tondragpreset: /*handleDragPreset*/ ctx[76],\n\t\t\t\tondroppreset: /*handleDropPreset*/ ctx[77],\n\t\t\t\tscrollElasticity: /*computedScrollElasticity*/ ctx[34]\n\t\t\t}\n\t\t});\n\n\treturn {\n\t\tc() {\n\t\t\tcreate_component(shapepresetspalette.$$.fragment);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tmount_component(shapepresetspalette, target, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tconst shapepresetspalette_changes = {};\n\t\t\tif (dirty[0] & /*locale*/ 16) shapepresetspalette_changes.locale = /*locale*/ ctx[4];\n\t\t\tif (dirty[0] & /*shapePresets*/ 8192) shapepresetspalette_changes.presets = /*shapePresets*/ ctx[13];\n\t\t\tif (dirty[0] & /*enablePresetSelectImage*/ 1024) shapepresetspalette_changes.enableSelectImage = /*enablePresetSelectImage*/ ctx[10];\n\t\t\tif (dirty[1] & /*runWillRenderPresetToolbarHook*/ 4) shapepresetspalette_changes.willRenderPresetToolbar = /*runWillRenderPresetToolbarHook*/ ctx[33];\n\t\t\tif (dirty[1] & /*computedScrollElasticity*/ 8) shapepresetspalette_changes.scrollElasticity = /*computedScrollElasticity*/ ctx[34];\n\t\t\tshapepresetspalette.$set(shapepresetspalette_changes);\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(shapepresetspalette.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(shapepresetspalette.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tdestroy_component(shapepresetspalette, detaching);\n\t\t}\n\t};\n}\n\n// (1007:8) {#if shouldRenderControls}\nfunction create_if_block$1(ctx) {\n\tlet div;\n\tlet current_block_type_index;\n\tlet if_block0;\n\tlet t;\n\tlet if_block1_anchor;\n\tlet current;\n\tconst if_block_creators = [create_if_block_3, create_else_block];\n\tconst if_blocks = [];\n\n\tfunction select_block_type_1(ctx, dirty) {\n\t\tif (/*shouldRenderPresets*/ ctx[36]) return 0;\n\t\treturn 1;\n\t}\n\n\tcurrent_block_type_index = select_block_type_1(ctx);\n\tif_block0 = if_blocks[current_block_type_index] = if_block_creators[current_block_type_index](ctx);\n\tlet if_block1 = /*showToolbar*/ ctx[41] && create_if_block_1(ctx);\n\n\treturn {\n\t\tc() {\n\t\t\tdiv = element(\"div\");\n\t\t\tif_block0.c();\n\t\t\tt = space();\n\t\t\tif (if_block1) if_block1.c();\n\t\t\tif_block1_anchor = empty();\n\t\t\tattr(div, \"class\", \"PinturaControlPanels\");\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, div, anchor);\n\t\t\tif_blocks[current_block_type_index].m(div, null);\n\t\t\tinsert(target, t, anchor);\n\t\t\tif (if_block1) if_block1.m(target, anchor);\n\t\t\tinsert(target, if_block1_anchor, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tlet previous_block_index = current_block_type_index;\n\t\t\tcurrent_block_type_index = select_block_type_1(ctx);\n\n\t\t\tif (current_block_type_index === previous_block_index) {\n\t\t\t\tif_blocks[current_block_type_index].p(ctx, dirty);\n\t\t\t} else {\n\t\t\t\tgroup_outros();\n\n\t\t\t\ttransition_out(if_blocks[previous_block_index], 1, 1, () => {\n\t\t\t\t\tif_blocks[previous_block_index] = null;\n\t\t\t\t});\n\n\t\t\t\tcheck_outros();\n\t\t\t\tif_block0 = if_blocks[current_block_type_index];\n\n\t\t\t\tif (!if_block0) {\n\t\t\t\t\tif_block0 = if_blocks[current_block_type_index] = if_block_creators[current_block_type_index](ctx);\n\t\t\t\t\tif_block0.c();\n\t\t\t\t} else {\n\t\t\t\t\tif_block0.p(ctx, dirty);\n\t\t\t\t}\n\n\t\t\t\ttransition_in(if_block0, 1);\n\t\t\t\tif_block0.m(div, null);\n\t\t\t}\n\n\t\t\tif (/*showToolbar*/ ctx[41]) {\n\t\t\t\tif (if_block1) {\n\t\t\t\t\tif_block1.p(ctx, dirty);\n\n\t\t\t\t\tif (dirty[1] & /*showToolbar*/ 1024) {\n\t\t\t\t\t\ttransition_in(if_block1, 1);\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tif_block1 = create_if_block_1(ctx);\n\t\t\t\t\tif_block1.c();\n\t\t\t\t\ttransition_in(if_block1, 1);\n\t\t\t\t\tif_block1.m(if_block1_anchor.parentNode, if_block1_anchor);\n\t\t\t\t}\n\t\t\t} else if (if_block1) {\n\t\t\t\tgroup_outros();\n\n\t\t\t\ttransition_out(if_block1, 1, 1, () => {\n\t\t\t\t\tif_block1 = null;\n\t\t\t\t});\n\n\t\t\t\tcheck_outros();\n\t\t\t}\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(if_block0);\n\t\t\ttransition_in(if_block1);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(if_block0);\n\t\t\ttransition_out(if_block1);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(div);\n\t\t\tif_blocks[current_block_type_index].d();\n\t\t\tif (detaching) detach(t);\n\t\t\tif (if_block1) if_block1.d(detaching);\n\t\t\tif (detaching) detach(if_block1_anchor);\n\t\t}\n\t};\n}\n\n// (1023:16) {:else}\nfunction create_else_block(ctx) {\n\tlet div;\n\tlet shapestyleeditor;\n\tlet current;\n\n\tshapestyleeditor = new ShapeStyleEditor({\n\t\t\tprops: {\n\t\t\t\tlocale: /*locale*/ ctx[4],\n\t\t\t\tshape: /*markupShapeSelected*/ ctx[24],\n\t\t\t\tonchange: /*handleUpdateSelectedMarkupShape*/ ctx[72],\n\t\t\t\tcontrols: /*shapeControls*/ ctx[8],\n\t\t\t\tscrollElasticity: /*computedScrollElasticity*/ ctx[34]\n\t\t\t}\n\t\t});\n\n\treturn {\n\t\tc() {\n\t\t\tdiv = element(\"div\");\n\t\t\tcreate_component(shapestyleeditor.$$.fragment);\n\t\t\tattr(div, \"class\", \"PinturaControlPanel\");\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, div, anchor);\n\t\t\tmount_component(shapestyleeditor, div, null);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tconst shapestyleeditor_changes = {};\n\t\t\tif (dirty[0] & /*locale*/ 16) shapestyleeditor_changes.locale = /*locale*/ ctx[4];\n\t\t\tif (dirty[0] & /*markupShapeSelected*/ 16777216) shapestyleeditor_changes.shape = /*markupShapeSelected*/ ctx[24];\n\t\t\tif (dirty[0] & /*shapeControls*/ 256) shapestyleeditor_changes.controls = /*shapeControls*/ ctx[8];\n\t\t\tif (dirty[1] & /*computedScrollElasticity*/ 8) shapestyleeditor_changes.scrollElasticity = /*computedScrollElasticity*/ ctx[34];\n\t\t\tshapestyleeditor.$set(shapestyleeditor_changes);\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(shapestyleeditor.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(shapestyleeditor.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(div);\n\t\t\tdestroy_component(shapestyleeditor);\n\t\t}\n\t};\n}\n\n// (1009:16) {#if shouldRenderPresets}\nfunction create_if_block_3(ctx) {\n\tlet div;\n\tlet shapepresetspalette;\n\tlet current;\n\n\tshapepresetspalette = new ShapePresetsPalette({\n\t\t\tprops: {\n\t\t\t\tlocale: /*locale*/ ctx[4],\n\t\t\t\tpresets: /*shapePresets*/ ctx[13],\n\t\t\t\tenableSelectImage: /*enablePresetSelectImage*/ ctx[10],\n\t\t\t\twillRenderPresetToolbar: /*runWillRenderPresetToolbarHook*/ ctx[33],\n\t\t\t\tonaddpreset: /*handleAddPreset*/ ctx[78],\n\t\t\t\tongrabpreset: /*handleGrabPreset*/ ctx[75],\n\t\t\t\tondragpreset: /*handleDragPreset*/ ctx[76],\n\t\t\t\tondroppreset: /*handleDropPreset*/ ctx[77],\n\t\t\t\tscrollElasticity: /*computedScrollElasticity*/ ctx[34]\n\t\t\t}\n\t\t});\n\n\treturn {\n\t\tc() {\n\t\t\tdiv = element(\"div\");\n\t\t\tcreate_component(shapepresetspalette.$$.fragment);\n\t\t\tattr(div, \"class\", \"PinturaControlPanel\");\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, div, anchor);\n\t\t\tmount_component(shapepresetspalette, div, null);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tconst shapepresetspalette_changes = {};\n\t\t\tif (dirty[0] & /*locale*/ 16) shapepresetspalette_changes.locale = /*locale*/ ctx[4];\n\t\t\tif (dirty[0] & /*shapePresets*/ 8192) shapepresetspalette_changes.presets = /*shapePresets*/ ctx[13];\n\t\t\tif (dirty[0] & /*enablePresetSelectImage*/ 1024) shapepresetspalette_changes.enableSelectImage = /*enablePresetSelectImage*/ ctx[10];\n\t\t\tif (dirty[1] & /*runWillRenderPresetToolbarHook*/ 4) shapepresetspalette_changes.willRenderPresetToolbar = /*runWillRenderPresetToolbarHook*/ ctx[33];\n\t\t\tif (dirty[1] & /*computedScrollElasticity*/ 8) shapepresetspalette_changes.scrollElasticity = /*computedScrollElasticity*/ ctx[34];\n\t\t\tshapepresetspalette.$set(shapepresetspalette_changes);\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(shapepresetspalette.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(shapepresetspalette.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(div);\n\t\t\tdestroy_component(shapepresetspalette);\n\t\t}\n\t};\n}\n\n// (1036:12) {#if showToolbar}\nfunction create_if_block_1(ctx) {\n\tlet scrollable;\n\tlet current;\n\n\tscrollable = new Scrollable({\n\t\t\tprops: {\n\t\t\t\tclass: \"PinturaControlListScroller\",\n\t\t\t\telasticity: /*computedScrollElasticity*/ ctx[34],\n\t\t\t\t$$slots: { default: [create_default_slot$4] },\n\t\t\t\t$$scope: { ctx }\n\t\t\t}\n\t\t});\n\n\treturn {\n\t\tc() {\n\t\t\tcreate_component(scrollable.$$.fragment);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tmount_component(scrollable, target, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tconst scrollable_changes = {};\n\t\t\tif (dirty[1] & /*computedScrollElasticity*/ 8) scrollable_changes.elasticity = /*computedScrollElasticity*/ ctx[34];\n\n\t\t\tif (dirty[0] & /*locale, toolsFiltered, toolActive*/ 33554449 | dirty[5] & /*$$scope*/ 1024) {\n\t\t\t\tscrollable_changes.$$scope = { dirty, ctx };\n\t\t\t}\n\n\t\t\tscrollable.$set(scrollable_changes);\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(scrollable.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(scrollable.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tdestroy_component(scrollable, detaching);\n\t\t}\n\t};\n}\n\n// (1054:28) {#if option.icon}\nfunction create_if_block_2(ctx) {\n\tlet icon;\n\tlet current;\n\n\ticon = new Icon({\n\t\t\tprops: {\n\t\t\t\t$$slots: { default: [create_default_slot_1] },\n\t\t\t\t$$scope: { ctx }\n\t\t\t}\n\t\t});\n\n\treturn {\n\t\tc() {\n\t\t\tcreate_component(icon.$$.fragment);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tmount_component(icon, target, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tconst icon_changes = {};\n\n\t\t\tif (dirty[0] & /*locale*/ 16 | dirty[5] & /*$$scope, option*/ 1536) {\n\t\t\t\ticon_changes.$$scope = { dirty, ctx };\n\t\t\t}\n\n\t\t\ticon.$set(icon_changes);\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(icon.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(icon.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tdestroy_component(icon, detaching);\n\t\t}\n\t};\n}\n\n// (1055:32) <Icon                                     >\nfunction create_default_slot_1(ctx) {\n\tlet g;\n\n\tlet raw_value = (isFunction(/*option*/ ctx[164].icon)\n\t? /*option*/ ctx[164].icon(/*locale*/ ctx[4])\n\t: /*option*/ ctx[164].icon) + \"\";\n\n\treturn {\n\t\tc() {\n\t\t\tg = svg_element(\"g\");\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, g, anchor);\n\t\t\tg.innerHTML = raw_value;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tif (dirty[0] & /*locale*/ 16 | dirty[5] & /*option*/ 512 && raw_value !== (raw_value = (isFunction(/*option*/ ctx[164].icon)\n\t\t\t? /*option*/ ctx[164].icon(/*locale*/ ctx[4])\n\t\t\t: /*option*/ ctx[164].icon) + \"\")) g.innerHTML = raw_value;\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(g);\n\t\t}\n\t};\n}\n\n// (1053:24) \nfunction create_option_slot$2(ctx) {\n\tlet div;\n\tlet t0;\n\tlet span;\n\n\tlet t1_value = (isFunction(/*option*/ ctx[164].label)\n\t? /*option*/ ctx[164].label(/*locale*/ ctx[4])\n\t: /*option*/ ctx[164].label) + \"\";\n\n\tlet t1;\n\tlet current;\n\tlet if_block = /*option*/ ctx[164].icon && create_if_block_2(ctx);\n\n\treturn {\n\t\tc() {\n\t\t\tdiv = element(\"div\");\n\t\t\tif (if_block) if_block.c();\n\t\t\tt0 = space();\n\t\t\tspan = element(\"span\");\n\t\t\tt1 = text(t1_value);\n\t\t\tattr(div, \"slot\", \"option\");\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, div, anchor);\n\t\t\tif (if_block) if_block.m(div, null);\n\t\t\tappend(div, t0);\n\t\t\tappend(div, span);\n\t\t\tappend(span, t1);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tif (/*option*/ ctx[164].icon) {\n\t\t\t\tif (if_block) {\n\t\t\t\t\tif_block.p(ctx, dirty);\n\n\t\t\t\t\tif (dirty[5] & /*option*/ 512) {\n\t\t\t\t\t\ttransition_in(if_block, 1);\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tif_block = create_if_block_2(ctx);\n\t\t\t\t\tif_block.c();\n\t\t\t\t\ttransition_in(if_block, 1);\n\t\t\t\t\tif_block.m(div, t0);\n\t\t\t\t}\n\t\t\t} else if (if_block) {\n\t\t\t\tgroup_outros();\n\n\t\t\t\ttransition_out(if_block, 1, 1, () => {\n\t\t\t\t\tif_block = null;\n\t\t\t\t});\n\n\t\t\t\tcheck_outros();\n\t\t\t}\n\n\t\t\tif ((!current || dirty[0] & /*locale*/ 16 | dirty[5] & /*option*/ 512) && t1_value !== (t1_value = (isFunction(/*option*/ ctx[164].label)\n\t\t\t? /*option*/ ctx[164].label(/*locale*/ ctx[4])\n\t\t\t: /*option*/ ctx[164].label) + \"\")) set_data(t1, t1_value);\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(if_block);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(if_block);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(div);\n\t\t\tif (if_block) if_block.d();\n\t\t}\n\t};\n}\n\n// (1037:16) <Scrollable                     class=\"PinturaControlListScroller\"                     elasticity={computedScrollElasticity}                 >\nfunction create_default_slot$4(ctx) {\n\tlet radiogroup;\n\tlet current;\n\n\tradiogroup = new RadioGroup({\n\t\t\tprops: {\n\t\t\t\tlocale: /*locale*/ ctx[4],\n\t\t\t\tclass: \"PinturaControlList\",\n\t\t\t\toptionClass: \"PinturaControlListOption\",\n\t\t\t\tlayout: \"row\",\n\t\t\t\toptions: /*toolsFiltered*/ ctx[25],\n\t\t\t\tselectedIndex: /*toolsFiltered*/ ctx[25].findIndex(/*func*/ ctx[122]),\n\t\t\t\tonchange: /*updateActiveTool*/ ctx[65],\n\t\t\t\t$$slots: {\n\t\t\t\t\toption: [\n\t\t\t\t\t\tcreate_option_slot$2,\n\t\t\t\t\t\t({ option }) => ({ 164: option }),\n\t\t\t\t\t\t({ option }) => [0, 0, 0, 0, 0, option ? 512 : 0]\n\t\t\t\t\t]\n\t\t\t\t},\n\t\t\t\t$$scope: { ctx }\n\t\t\t}\n\t\t});\n\n\treturn {\n\t\tc() {\n\t\t\tcreate_component(radiogroup.$$.fragment);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tmount_component(radiogroup, target, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tconst radiogroup_changes = {};\n\t\t\tif (dirty[0] & /*locale*/ 16) radiogroup_changes.locale = /*locale*/ ctx[4];\n\t\t\tif (dirty[0] & /*toolsFiltered*/ 33554432) radiogroup_changes.options = /*toolsFiltered*/ ctx[25];\n\t\t\tif (dirty[0] & /*toolsFiltered, toolActive*/ 33554433) radiogroup_changes.selectedIndex = /*toolsFiltered*/ ctx[25].findIndex(/*func*/ ctx[122]);\n\n\t\t\tif (dirty[0] & /*locale*/ 16 | dirty[5] & /*$$scope, option*/ 1536) {\n\t\t\t\tradiogroup_changes.$$scope = { dirty, ctx };\n\t\t\t}\n\n\t\t\tradiogroup.$set(radiogroup_changes);\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(radiogroup.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(radiogroup.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tdestroy_component(radiogroup, detaching);\n\t\t}\n\t};\n}\n\n// (1006:4) \nfunction create_footer_slot$3(ctx) {\n\tlet div;\n\tlet current_block_type_index;\n\tlet if_block;\n\tlet current;\n\tconst if_block_creators = [create_if_block$1, create_if_block_4];\n\tconst if_blocks = [];\n\n\tfunction select_block_type(ctx, dirty) {\n\t\tif (/*shouldRenderControls*/ ctx[40]) return 0;\n\t\tif (/*shouldRenderPresets*/ ctx[36]) return 1;\n\t\treturn -1;\n\t}\n\n\tif (~(current_block_type_index = select_block_type(ctx))) {\n\t\tif_block = if_blocks[current_block_type_index] = if_block_creators[current_block_type_index](ctx);\n\t}\n\n\treturn {\n\t\tc() {\n\t\t\tdiv = element(\"div\");\n\t\t\tif (if_block) if_block.c();\n\t\t\tattr(div, \"slot\", \"footer\");\n\t\t\tattr(div, \"style\", /*footerStyle*/ ctx[31]);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, div, anchor);\n\n\t\t\tif (~current_block_type_index) {\n\t\t\t\tif_blocks[current_block_type_index].m(div, null);\n\t\t\t}\n\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tlet previous_block_index = current_block_type_index;\n\t\t\tcurrent_block_type_index = select_block_type(ctx);\n\n\t\t\tif (current_block_type_index === previous_block_index) {\n\t\t\t\tif (~current_block_type_index) {\n\t\t\t\t\tif_blocks[current_block_type_index].p(ctx, dirty);\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\tif (if_block) {\n\t\t\t\t\tgroup_outros();\n\n\t\t\t\t\ttransition_out(if_blocks[previous_block_index], 1, 1, () => {\n\t\t\t\t\t\tif_blocks[previous_block_index] = null;\n\t\t\t\t\t});\n\n\t\t\t\t\tcheck_outros();\n\t\t\t\t}\n\n\t\t\t\tif (~current_block_type_index) {\n\t\t\t\t\tif_block = if_blocks[current_block_type_index];\n\n\t\t\t\t\tif (!if_block) {\n\t\t\t\t\t\tif_block = if_blocks[current_block_type_index] = if_block_creators[current_block_type_index](ctx);\n\t\t\t\t\t\tif_block.c();\n\t\t\t\t\t} else {\n\t\t\t\t\t\tif_block.p(ctx, dirty);\n\t\t\t\t\t}\n\n\t\t\t\t\ttransition_in(if_block, 1);\n\t\t\t\t\tif_block.m(div, null);\n\t\t\t\t} else {\n\t\t\t\t\tif_block = null;\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tif (!current || dirty[1] & /*footerStyle*/ 1) {\n\t\t\t\tattr(div, \"style\", /*footerStyle*/ ctx[31]);\n\t\t\t}\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(if_block);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(if_block);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(div);\n\n\t\t\tif (~current_block_type_index) {\n\t\t\t\tif_blocks[current_block_type_index].d();\n\t\t\t}\n\t\t}\n\t};\n}\n\nfunction create_fragment$a(ctx) {\n\tlet util;\n\tlet current;\n\n\tutil = new Util({\n\t\t\tprops: {\n\t\t\t\t$$slots: {\n\t\t\t\t\tfooter: [create_footer_slot$3],\n\t\t\t\t\tmain: [create_main_slot]\n\t\t\t\t},\n\t\t\t\t$$scope: { ctx }\n\t\t\t}\n\t\t});\n\n\tutil.$on(\"measure\", /*measure_handler*/ ctx[132]);\n\n\treturn {\n\t\tc() {\n\t\t\tcreate_component(util.$$.fragment);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tmount_component(util, target, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tconst util_changes = {};\n\n\t\t\tif (dirty[0] & /*locale, toolsFiltered, toolActive, shapePresets, enablePresetSelectImage, markupShapeSelected, shapeControls, pingHub, enablePresetDropImage, utilKey, $parentRect, $utilRectPadded, $enablePanInputStatus, imageRotation, imageFlipX, imageFlipY, $isActive, toolSelectRadius, enableButtonFlipVertical, mapScreenPointToImagePoint, mapImagePointToScreenPoint, enableTapToAddText, textInputMode, ping, markupEditor, $shapes*/ 2146435025 | dirty[1] & /*footerStyle, computedScrollElasticity, showToolbar, runWillRenderPresetToolbarHook, shouldRenderPresets, shouldRenderControls, cursor, $rootRect, markupOffset, $imageSelectionZoomCurrent, $isActiveFraction, $rootColorSecondary, toolEraseRadius, layoutEditorHooks, $imageOverlayMarkup, shouldRenderShapeEditor*/ 65535 | dirty[5] & /*$$scope*/ 1024) {\n\t\t\t\tutil_changes.$$scope = { dirty, ctx };\n\t\t\t}\n\n\t\t\tutil.$set(util_changes);\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(util.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(util.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tdestroy_component(util, detaching);\n\t\t}\n\t};\n}\n\nlet isPanning = false;\n\nfunction instance$a($$self, $$props, $$invalidate) {\n\tlet toolsFiltered;\n\tlet hasShapeControls;\n\tlet showToolbar;\n\tlet hasTools;\n\tlet hasActiveTool;\n\tlet shouldRenderControls;\n\tlet shouldRenderShapeEditor;\n\tlet markupOffset;\n\tlet markupShapeKeys;\n\tlet markupSelected;\n\tlet markupEditing;\n\tlet markupToolShape;\n\tlet markupToolStylesComputed;\n\tlet markupShapeSelected;\n\tlet toolEraseRadius;\n\tlet shouldRenderPresets;\n\tlet shouldStickToImage;\n\tlet userEnabledPanModeWithKeyboard;\n\tlet userEnabledPanModeWithButton;\n\tlet enablePanMode;\n\tlet isEditingText;\n\tlet cursor;\n\tlet ping;\n\tlet computedScrollElasticity;\n\tlet runWillRenderPresetToolbarHook;\n\tlet layoutEditorHooks;\n\tlet footerStyle;\n\tlet $footerOffset;\n\n\tlet $isActive,\n\t\t$$unsubscribe_isActive = noop,\n\t\t$$subscribe_isActive = () => ($$unsubscribe_isActive(), $$unsubscribe_isActive = subscribe(isActive, $$value => $$invalidate(26, $isActive = $$value)), isActive);\n\n\tlet $isAnimated;\n\n\tlet $shapes,\n\t\t$$unsubscribe_shapes = noop,\n\t\t$$subscribe_shapes = () => ($$unsubscribe_shapes(), $$unsubscribe_shapes = subscribe(shapes, $$value => $$invalidate(27, $shapes = $$value)), shapes);\n\n\tlet $env;\n\tlet $redrawTrigger;\n\tlet $elasticityMultiplier;\n\tlet $stageRect;\n\tlet $imageSelectionZoomCurrent;\n\tlet $imageSelectionPan;\n\tlet $stageScalar;\n\tlet $imageSelectionRect;\n\tlet $enablePanInputStatus;\n\tlet $keysPressedStore;\n\n\tlet $parentRect,\n\t\t$$unsubscribe_parentRect = noop,\n\t\t$$subscribe_parentRect = () => ($$unsubscribe_parentRect(), $$unsubscribe_parentRect = subscribe(parentRect, $$value => $$invalidate(29, $parentRect = $$value)), parentRect);\n\n\tlet $imageCropRect;\n\tlet $shapePreprocessor;\n\tlet $ui;\n\tlet $utilRectPadded;\n\n\tlet $isVisible,\n\t\t$$unsubscribe_isVisible = noop,\n\t\t$$subscribe_isVisible = () => ($$unsubscribe_isVisible(), $$unsubscribe_isVisible = subscribe(isVisible, $$value => $$invalidate(119, $isVisible = $$value)), isVisible);\n\n\tlet $imagePreviewModifiers;\n\tlet $rootRect;\n\tlet $imageOverlayMarkup;\n\n\tlet $isActiveFraction,\n\t\t$$unsubscribe_isActiveFraction = noop,\n\t\t$$subscribe_isActiveFraction = () => ($$unsubscribe_isActiveFraction(), $$unsubscribe_isActiveFraction = subscribe(isActiveFraction, $$value => $$invalidate(45, $isActiveFraction = $$value)), isActiveFraction);\n\n\tlet $rootColorSecondary;\n\t$$self.$$.on_destroy.push(() => $$unsubscribe_isActive());\n\t$$self.$$.on_destroy.push(() => $$unsubscribe_shapes());\n\t$$self.$$.on_destroy.push(() => $$unsubscribe_parentRect());\n\t$$self.$$.on_destroy.push(() => $$unsubscribe_isVisible());\n\t$$self.$$.on_destroy.push(() => $$unsubscribe_isActiveFraction());\n\tlet { isActive } = $$props;\n\t$$subscribe_isActive();\n\tlet { isActiveFraction } = $$props;\n\t$$subscribe_isActiveFraction();\n\tlet { isVisible } = $$props;\n\t$$subscribe_isVisible();\n\tlet { stores } = $$props;\n\tlet { locale = {} } = $$props;\n\tlet { shapes } = $$props;\n\t$$subscribe_shapes();\n\tlet { toolbar = [] } = $$props;\n\tlet { toolShapes = {} } = $$props;\n\tlet { toolActive = undefined } = $$props;\n\tlet { toolSelectRadius = undefined } = $$props;\n\tlet { toolRetainStyles = false } = $$props;\n\tlet { textInputMode = undefined } = $$props;\n\tlet { shapeControls = {} } = $$props;\n\tlet { enableButtonFlipVertical = false } = $$props;\n\tlet { enablePresetSelectImage = true } = $$props;\n\tlet { enablePresetDropImage = true } = $$props;\n\tlet { enableSelectToolToAddShape = false } = $$props;\n\tlet { enableAutoSelectMoveTool = ['line', 'arrow', 'path', 'rectangle', 'ellipse', 'text'] } = $$props;\n\tlet { enableTapToAddText = false } = $$props;\n\tlet { enableMoveTool = false } = $$props;\n\tlet { enableViewTool = false } = $$props;\n\tlet { enableToolShareStyles = true } = $$props;\n\tlet { willRenderPresetToolbar = undefined } = $$props;\n\tlet { willStartInteraction = undefined } = $$props;\n\tlet { shapePresets = [] } = $$props;\n\tlet { utilKey } = $$props;\n\tlet { mapScreenPointToImagePoint } = $$props;\n\tlet { mapImagePointToScreenPoint } = $$props;\n\tlet { imageRotation = 0 } = $$props;\n\tlet { imageFlipX = false } = $$props;\n\tlet { imageFlipY = false } = $$props;\n\tlet { parentRect } = $$props;\n\t$$subscribe_parentRect();\n\tlet { hooks = {} } = $$props;\n\n\t// context\n\tconst isAnimated = getContext('isAnimated');\n\n\tcomponent_subscribe($$self, isAnimated, value => $$invalidate(112, $isAnimated = value));\n\tconst elasticityMultiplier = getContext('elasticityMultiplier');\n\tcomponent_subscribe($$self, elasticityMultiplier, value => $$invalidate(115, $elasticityMultiplier = value));\n\tconst ui = getContext('ui');\n\tcomponent_subscribe($$self, ui, value => $$invalidate(141, $ui = value));\n\n\t// this makes sure tool shapes are only updated when a new tool shapes object is set\n\tlet activeToolShapes;\n\n\t// stores\n\tconst { env, history, rootRect, rootColorSecondary, enablePanInput, enablePanInputStatus, enableZoomInput, stageRect, utilRectPadded, scrollElasticity, imageOverlayMarkup, imagePreviewModifiers, imageCropRect, shapePreprocessor, stageScalar, imageSelectionRect, imageSelectionZoomCurrent, imageSelectionPan, allowPan, allowZoom, allowZoomControls } = stores;\n\n\tcomponent_subscribe($$self, env, value => $$invalidate(113, $env = value));\n\tcomponent_subscribe($$self, rootRect, value => $$invalidate(43, $rootRect = value));\n\tcomponent_subscribe($$self, rootColorSecondary, value => $$invalidate(46, $rootColorSecondary = value));\n\tcomponent_subscribe($$self, enablePanInputStatus, value => $$invalidate(28, $enablePanInputStatus = value));\n\tcomponent_subscribe($$self, stageRect, value => $$invalidate(116, $stageRect = value));\n\tcomponent_subscribe($$self, utilRectPadded, value => $$invalidate(30, $utilRectPadded = value));\n\tcomponent_subscribe($$self, imageOverlayMarkup, value => $$invalidate(44, $imageOverlayMarkup = value));\n\tcomponent_subscribe($$self, imagePreviewModifiers, value => $$invalidate(120, $imagePreviewModifiers = value));\n\tcomponent_subscribe($$self, imageCropRect, value => $$invalidate(140, $imageCropRect = value));\n\tcomponent_subscribe($$self, shapePreprocessor, value => $$invalidate(118, $shapePreprocessor = value));\n\tcomponent_subscribe($$self, stageScalar, value => $$invalidate(138, $stageScalar = value));\n\tcomponent_subscribe($$self, imageSelectionRect, value => $$invalidate(139, $imageSelectionRect = value));\n\tcomponent_subscribe($$self, imageSelectionZoomCurrent, value => $$invalidate(42, $imageSelectionZoomCurrent = value));\n\tcomponent_subscribe($$self, imageSelectionPan, value => $$invalidate(137, $imageSelectionPan = value));\n\n\t// remove presets tool if no shape presets defined\n\tconst filterTools = (toolbar, { willRenderPresetToolbar, shapePresets, enableViewTool, enableMoveTool }) => {\n\t\t// enableMoveTool\n\t\tlet tools = shapePresets.length === 0 && !willRenderPresetToolbar\n\t\t? toolbar.filter(tool => tool[0] !== 'preset')\n\t\t: toolbar;\n\n\t\t// filter move tool\n\t\ttools = enableMoveTool\n\t\t? tools\n\t\t: tools.filter(tool => tool[0] !== 'move');\n\n\t\t// filter view tool\n\t\treturn enableViewTool\n\t\t? tools\n\t\t: tools.filter(tool => tool[0] !== 'view');\n\t};\n\n\tconst keysPressedStore = getContext('keysPressed');\n\tcomponent_subscribe($$self, keysPressedStore, value => $$invalidate(117, $keysPressedStore = value));\n\n\tconst updateActiveTool = ({ value }, event) => {\n\t\t$$invalidate(0, toolActive = value);\n\n\t\t// if is keyboard navigating or should add shape\n\t\tif (enableSelectToolToAddShape || (/enter/i).test(event.key)) {\n\t\t\tAddToolDefaultShape(value);\n\t\t}\n\t};\n\n\tconst AddToolDefaultShape = tool => {\n\t\tconst [shape, options] = activeToolShapes[tool];\n\t\tlet isRelative = options.position === 'relative';\n\t\tlet shapeToAdd;\n\t\tlet size;\n\t\tconst x = isRelative ? '0%' : 0;\n\t\tconst y = isRelative ? '0%' : 0;\n\n\t\tif (shapeIsRect(shape) || shapeIsText(shape)) {\n\t\t\tsize = isRelative ? '20%' : $parentRect.width * 0.2;\n\t\t\tshapeToAdd = shapeDeepCopy(shape);\n\t\t\tshapeToAdd.x = x;\n\t\t\tshapeToAdd.y = y;\n\t\t\tshapeUpdateProps(shapeToAdd, { width: size, height: size }, $parentRect);\n\t\t} else if (shapeIsEllipse(shape)) {\n\t\t\tsize = isRelative ? '10%' : $parentRect.width * 0.1;\n\t\t\tshapeToAdd = shapeDeepCopy(shape);\n\t\t\tshapeToAdd.x = x;\n\t\t\tshapeToAdd.y = y;\n\t\t\tshapeUpdateProps(shapeToAdd, { rx: size, ry: size }, $parentRect);\n\t\t} else if (shapeIsLine(shape)) {\n\t\t\tsize = isRelative ? '10%' : $parentRect.width * 0.1;\n\t\t\tshapeToAdd = shapeDeepCopy(shape);\n\t\t\tshapeToAdd.x1 = x;\n\t\t\tshapeToAdd.y1 = y;\n\t\t\tshapeToAdd.x2 = x;\n\t\t\tshapeToAdd.y2 = y;\n\t\t}\n\n\t\tif (!shapeToAdd) return;\n\n\t\tPromise.resolve().then(() => {\n\t\t\taddShape(createShapeAtPosition(shapeToAdd, undefined, size));\n\t\t});\n\t};\n\n\tconst mapScreenEventToImagePoint = e => mapScreenPointToImagePoint(getEventPositionInEditor(e, $rootRect));\n\n\t// A reference to the markup editor, we need this so we can call exported functions\n\tlet markupEditor;\n\n\t// the current tool styles\n\tlet markupToolStyles = {};\n\n\t//\n\t// Create new shape\n\t//\n\tlet interactionHandler;\n\n\tconst handleInteractionStart = e => {\n\t\tif (toolActive === 'eraser') {\n\t\t\tinteractionHandler = markupEditor.eraseShape();\n\t\t} else if (toolActive && activeToolShapes[toolActive]) {\n\t\t\tconst [shape, options] = activeToolShapes[toolActive];\n\t\t\tinteractionHandler = markupEditor.createShape({ ...shape, ...markupToolStylesComputed }, options);\n\t\t} else {\n\t\t\tinteractionHandler = undefined;\n\t\t}\n\n\t\tif (!interactionHandler) return false;\n\t\tinteractionHandler.start(e);\n\t\treturn true;\n\t};\n\n\tconst handleInteractionUpdate = e => {\n\t\tif (!interactionHandler) return false;\n\t\tinteractionHandler.update(e);\n\t\treturn true;\n\t};\n\n\tconst handleInteractionRelease = e => {\n\t\tif (!interactionHandler) return false;\n\t\tinteractionHandler.release(e);\n\t\treturn true;\n\t};\n\n\tconst handleInteractionCancel = e => {\n\t\tif (!interactionHandler) return false;\n\t\tinteractionHandler.cancel(e);\n\t\tinteractionHandler = undefined;\n\t\treturn true;\n\t};\n\n\tconst handleInteractionEnd = e => {\n\t\tif (!interactionHandler) return false;\n\t\tinteractionHandler.end(e);\n\t\tinteractionHandler = undefined;\n\n\t\t// when a shape is built with multiple clicks a draft might still be active\n\t\tconst draft = markupEditor.getMarkupItemDraft();\n\n\t\t// always fall back to move when done with current tool\n\t\tconst canSwitchToMoveTool = enableMoveTool && (enableAutoSelectMoveTool === true || Array.isArray(enableAutoSelectMoveTool) && enableAutoSelectMoveTool.includes(toolActive));\n\n\t\t// should switch back to move tool if draft is finished OR if draft is there and is text editing\n\t\tif ((!draft || draft.isEditing) && canSwitchToMoveTool) {\n\t\t\t$$invalidate(0, toolActive = 'move');\n\t\t}\n\n\t\treturn true;\n\t};\n\n\tconst confirmDraft = draft => {\n\t\tconst isPolygon = shapeIsPath(draft) && hasProp(draft, 'pathClose');\n\t\tif (!isPolygon) return;\n\n\t\t//  show stroke color\n\t\tconst strokeColor = [...draft.strokeColor];\n\n\t\tstrokeColor[3] = 1;\n\n\t\t// update the draft shape\n\t\tmarkupEditor.updateMarkupShape(\n\t\t\tdraft,\n\t\t\t{\n\t\t\t\t// don't close this path\n\t\t\t\tpathClose: false, // wait with sync till confirm\n\t\t\t\t// set opaque stroke color\n\t\t\t\tstrokeColor\n\t\t\t},\n\t\t\tfalse\n\t\t); // wait with sync till confirm\n\n\t\tmarkupEditor.removeMarkupShapeProps(draft, ['backgroundColor'], false); // wait with sync till confirm\n\t\tmarkupEditor.confirmMarkupItemDraft();\n\t\tmarkupEditor.selectShape(draft);\n\t};\n\n\tconst handleKey = e => {\n\t\tconst { key } = e;\n\t\tconst draft = markupEditor.getMarkupItemDraft();\n\n\t\tif ((/escape/i).test(key) && draft) {\n\t\t\te.preventDefault();\n\t\t\te.stopPropagation();\n\t\t\tmarkupEditor.discardMarkupItemDraft();\n\t\t\tinteractionHandler = undefined;\n\t\t}\n\n\t\tif ((/enter/i).test(key) && draft) {\n\t\t\te.preventDefault();\n\t\t\te.stopPropagation();\n\t\t\tconfirmDraft(draft);\n\t\t\tinteractionHandler = undefined;\n\t\t}\n\t};\n\n\tconst blurOnToolSwitch = () => {\n\t\tif (!markupEditor || toolActive === 'move') return;\n\t\tmarkupEditor.blurShapes();\n\t};\n\n\tconst getStoredStyles = () => {\n\t\treturn $ui[utilKey] ? $ui[utilKey][toolActive] : {};\n\t};\n\n\t// if toolShapes are updated we reset the current tool styles as chose by the user, this allows us to set styles programatically\n\tconst didUpdateToolShapes = () => {\n\t\t$$invalidate(97, markupToolStyles = {});\n\t};\n\n\tconst updateInterfaceState = (util, tool, computedStyles) => {\n\t\tconst utilObj = $ui[util];\n\t\tconst toolObj = utilObj ? utilObj[tool] : {};\n\n\t\tui.set({\n\t\t\t...$ui,\n\t\t\t[util]: {\n\t\t\t\t...utilObj,\n\t\t\t\t[tool]: { ...toolObj, ...computedStyles }\n\t\t\t}\n\t\t});\n\t};\n\n\tconst resetInterfaceState = util => {\n\t\tui.set({ [util]: {} });\n\t};\n\n\tlet updateWriteHistoryTimeoutId;\n\n\tfunction handleUpdateSelectedMarkupShape(props) {\n\t\t// remember style for when creating or styling other element\n\t\tObject.keys(props).forEach(key => {\n\t\t\tif (enableToolShareStyles) {\n\t\t\t\t$$invalidate(97, markupToolStyles[key] = props[key], markupToolStyles);\n\t\t\t} else {\n\t\t\t\tif (!markupToolStyles[toolActive]) $$invalidate(97, markupToolStyles[toolActive] = {}, markupToolStyles);\n\t\t\t\t$$invalidate(97, markupToolStyles[toolActive][key] = props[key], markupToolStyles);\n\t\t\t}\n\t\t});\n\n\t\t// fire event\n\t\tping('selectstyle', props);\n\n\t\t// it's possible we're only updating default styles\n\t\tif (!markupSelected) return;\n\n\t\t// update element\n\t\tmarkupEditor.updateMarkupShape(markupSelected, props);\n\n\t\t// update markup style with delay so we don't write every state change to history (mainly relevant for color changes when dragging color)\n\t\tclearTimeout(updateWriteHistoryTimeoutId);\n\n\t\tupdateWriteHistoryTimeoutId = setTimeout(\n\t\t\t() => {\n\t\t\t\thandleMarkupUpdate();\n\t\t\t},\n\t\t\t200\n\t\t);\n\t}\n\n\tlet hoverShape;\n\n\t/*\n\nlet eraserShape = {\n    id: 'markup-eraser',\n    x: 0,\n    y: 0,\n    rx: 0,\n    ry: 0,\n    strokeWidth: 0.5,\n    strokeColor: [0, 0, 0],\n};\n\nconst handleHoverCanvas = (canvasPosition, imagePosition) => {\n    $imageOverlayMarkup = [\n        ...$imageOverlayMarkup.filter((shape) => shape.id !== 'markup-eraser'),\n    ];\n\n    if (!vectorInSize(imagePosition, $imageSize)) return;\n\n    const computedEraserRadius = toolEraseRadius * $presentationScalar;\n\n    if (toolActive !== 'eraser' || computedEraserRadius < 8) return;\n\n    const shape = { ...eraserShape };\n    shape.x = canvasPosition.x;\n    shape.y = canvasPosition.y;\n    shape.rx = shape.ry = computedEraserRadius;\n\n    const shapeShadow = { ...eraserShape };\n    shapeShadow.x = canvasPosition.x;\n    shapeShadow.y = canvasPosition.y;\n    shapeShadow.strokeWidth = 3;\n    shapeShadow.strokeColor = [1, 1, 1];\n    shapeShadow.opacity = 0.25;\n    shapeShadow.rx = shapeShadow.ry = shape.rx;\n\n    $imageOverlayMarkup = [\n        ...$imageOverlayMarkup.filter((shape) => shape.id !== 'markup-eraser'),\n        shapeShadow,\n        shape,\n    ];\n};\n*/\n\tconst handleTapCanvas = details => ping('markuptap', details);\n\n\tconst handleHoverShape = shape => $$invalidate(98, hoverShape = shape);\n\n\tconst getCursor = (shapeUnderPointer, shapeSelected, panInputEnabled, isPanning, currentActiveTool) => // computedEraserRadius\n\t{\n\t\t// hide cursor if eraser radius is set\n\t\tif (panInputEnabled) return isPanning ? 'grabbing' : 'grab';\n\n\t\t// no shape, return crosshair\n\t\tif (!shapeUnderPointer) return currentActiveTool === 'move' ? 'default' : 'crosshair';\n\n\t\t// treat both as the same shape\n\t\tlet shape = shapeUnderPointer || shapeSelected;\n\n\t\t// can select (else won't hover)\n\t\tif (!shapeIsSelected(shape)) return 'default';\n\n\t\t// show text input cursor\n\t\tif (shapeIsEditing(shape)) {\n\t\t\tif (textInputMode === 'modal') return 'default';\n\t\t\treturn 'text';\n\t\t}\n\n\t\t// show move cursor\n\t\tif (shapeCanMove(shape)) return 'move';\n\n\t\t// can't move\n\t\treturn 'default';\n\t};\n\n\tconst createShapeAtPosition = (shape, position, size) => {\n\t\t// position defaults to crop center\n\t\tlet positionIsCenter = false;\n\n\t\tif (!position) {\n\t\t\t// is centering to stage\n\t\t\tpositionIsCenter = true;\n\n\t\t\t// calculate image or rect position\n\t\t\tposition = shouldStickToImage\n\t\t\t? mapScreenPointToImagePoint(rectCenter($stageRect))\n\t\t\t: rectCenter($imageCropRect);\n\t\t}\n\n\t\t// adjust offset if parent rect is image crop rect\n\t\tposition.x -= $parentRect.x || 0;\n\n\t\tposition.y -= $parentRect.y || 0;\n\n\t\t// de-flip shape\n\t\tif (imageFlipX || imageFlipY) {\n\t\t\tshape.flipX = imageFlipX;\n\t\t\tshape.flipY = imageFlipY;\n\t\t}\n\n\t\t// reposition if there's already shapes at position and shape isn't full screen\n\t\tconst shapesAlreadyAtPosition = markupEditor.getShapesNearPosition(position);\n\n\t\tif (positionIsCenter && shapesAlreadyAtPosition.length) {\n\t\t\tconst dist = Math.min($imageCropRect.width, $imageCropRect.height) * 0.1;\n\t\t\tposition.x += Math.round(-dist + Math.random() * dist * 2);\n\t\t\tposition.y += Math.round(-dist + Math.random() * dist * 2);\n\t\t}\n\n\t\t// de-rotate shape\n\t\tif (imageRotation !== 0) {\n\t\t\tif (imageFlipX && imageFlipY) shape.rotation = -imageRotation; else if (imageFlipX) shape.rotation = imageRotation; else if (imageFlipY) shape.rotation = imageRotation; else shape.rotation = -imageRotation;\n\t\t}\n\n\t\tif (hasProp(shape, 'width') && hasProp(shape, 'height')) {\n\t\t\tconst { width, height } = shapeGetPropsPixelValues(shape, ['width', 'height'], $parentRect);\n\n\t\t\tshapeUpdateProps(\n\t\t\t\tshape,\n\t\t\t\t{\n\t\t\t\t\tx: position.x - width * 0.5,\n\t\t\t\t\ty: position.y - height * 0.5\n\t\t\t\t},\n\t\t\t\t$parentRect\n\t\t\t);\n\t\t} else if (shapeIsEllipse(shape)) {\n\t\t\tshapeUpdateProps(shape, { x: position.x, y: position.y }, $parentRect);\n\t\t} else if (shapeIsLine(shape)) {\n\t\t\tconst { x1, y1, x2, y2 } = shapeGetPropsPixelValues(shape, ['x1', 'y1', 'x2', 'y2'], $parentRect);\n\t\t\tconst dist = vectorDistance(vectorCreate(x1, y1), vectorCreate(x2, y2));\n\n\t\t\tconst l = isString(size)\n\t\t\t? toPixelValue(size, $parentRect.width)\n\t\t\t: dist;\n\n\t\t\tshapeUpdateProps(\n\t\t\t\tshape,\n\t\t\t\t{\n\t\t\t\t\tx1: position.x - l,\n\t\t\t\t\ty1: position.y + l,\n\t\t\t\t\tx2: position.x + l,\n\t\t\t\t\ty2: position.y - l\n\t\t\t\t},\n\t\t\t\t$parentRect\n\t\t\t);\n\t\t} else if (shapeIsPath(shape)) {\n\t\t\tconst { points } = shapeGetPropsPixelValues(shape, ['points'], $parentRect);\n\t\t\tconst center = vectorCenter(points);\n\n\t\t\tshapeUpdateProps(\n\t\t\t\tshape,\n\t\t\t\t{\n\t\t\t\t\tpoints: points.map(point => ({\n\t\t\t\t\t\tx: point.x + position.x - center.x,\n\t\t\t\t\t\ty: point.y + position.y - center.y\n\t\t\t\t\t}))\n\t\t\t\t},\n\t\t\t\t$parentRect\n\t\t\t);\n\t\t}\n\n\t\treturn shape;\n\t};\n\n\tconst addPreset = (preset, position) => {\n\t\tconst shape = createShapeAtPosition(shapeCreateFromPreset(preset, $imageCropRect), position);\n\n\t\t// force position\n\t\tif (preset.shape) {\n\t\t\tif (hasProp(preset.shape, 'x')) shape.x = preset.shape.x;\n\t\t\tif (hasProp(preset.shape, 'y')) shape.y = preset.shape.y;\n\t\t}\n\n\t\treturn addShape(shape);\n\t};\n\n\tconst addShape = shape => {\n\t\tconst { beforeAddShape = () => true } = hooks;\n\t\tif (!beforeAddShape(shape)) return;\n\t\tmarkupEditor.addShape(shape);\n\t\tmarkupEditor.selectShape(shape);\n\t\thistory.write();\n\t\tping('addshape', shape);\n\t\treturn shape;\n\t};\n\n\tlet dragCancelled = false;\n\n\tconst handleGrabPreset = () => {\n\t\tdragCancelled = false;\n\t};\n\n\tconst handleDragPreset = (preset, e) => {\n\t\tif (dragCancelled) return;\n\t\tconst { beforeAddShape = () => true } = hooks;\n\t\tconst position = mapScreenEventToImagePoint(e);\n\n\t\t// create or update if is inside image\n\t\tconst draft = markupEditor.getMarkupItemDraft();\n\n\t\tconst inCropRect = rectContainsPoint($imageCropRect, {\n\t\t\t// adjust offset if parent rect is image crop rect\n\t\t\tx: position.x + ($parentRect.x || 0),\n\t\t\ty: position.y + ($parentRect.y || 0)\n\t\t});\n\n\t\t// remove draft if not dragging inside image\n\t\tif (draft && !inCropRect) markupEditor.discardMarkupItemDraft();\n\n\t\t// stop here if we're not in the crop rect\n\t\tif (!inCropRect) return;\n\n\t\t// create draft shape\n\t\tif (!draft) {\n\t\t\tconst presetShape = shapeCreateFromPreset(preset, $imageCropRect);\n\t\t\tconst shape = createShapeAtPosition(presetShape, position);\n\n\t\t\tif (!beforeAddShape(shape)) {\n\t\t\t\tdragCancelled = true;\n\t\t\t\te.preventDefault();\n\t\t\t\treturn;\n\t\t\t}\n\n\t\t\tshapeMakeDraft(shape);\n\t\t\tmarkupEditor.addShape(shape);\n\t\t\treturn;\n\t\t}\n\n\t\t// center shape on pointer if it has dimensions\n\t\tif (shapeIsRect(draft)) {\n\t\t\tposition.x -= draft.width * 0.5;\n\t\t\tposition.y -= draft.height * 0.5;\n\t\t}\n\n\t\t// force position\n\t\tif (preset.shape) {\n\t\t\tif (hasProp(preset.shape, 'x')) position.x = preset.shape.x;\n\t\t\tif (hasProp(preset.shape, 'y')) position.y = preset.shape.y;\n\t\t}\n\n\t\t// update the draft shape\n\t\tmarkupEditor.updateMarkupShape(draft, position);\n\t};\n\n\tconst handleDropPreset = (_, e) => {\n\t\tif (dragCancelled) return;\n\t\tconst position = mapScreenEventToImagePoint(e);\n\n\t\tif (!rectContainsPoint($imageCropRect, {\n\t\t\tx: position.x + ($parentRect.x || 0),\n\t\t\ty: position.y + ($parentRect.y || 0)\n\t\t})) {\n\t\t\tmarkupEditor.discardMarkupItemDraft();\n\t\t\treturn;\n\t\t}\n\n\t\t// confirm shape\n\t\tconst shape = markupEditor.confirmMarkupItemDraft();\n\n\t\tmarkupEditor.selectShape(shape);\n\n\t\t// shape added\n\t\tping('addshape', shape);\n\n\t\t// update history\n\t\thistory.write();\n\t};\n\n\tconst handleAddPreset = preset => addPreset(preset);\n\tconst handleAddFiles = (files, position) => files.forEach(file => addPreset(file, position));\n\tconst handleDropFiles = e => handleAddFiles(e.detail.resources, mapScreenEventToImagePoint(e.detail.event));\n\n\t//#endregion\n\tconst handleWillStartInteraction = position => {\n\t\tif (!willStartInteraction) return true;\n\n\t\t// calculate current image selection rect\n\t\tconst selectionRect = rectClone($imageSelectionRect);\n\n\t\trectScale(selectionRect, 1 / $stageScalar);\n\t\trectTranslate(selectionRect, $imageSelectionPan);\n\t\trectScale(selectionRect, $imageSelectionZoomCurrent);\n\n\t\t// should return true if interaction is allowed\n\t\treturn willStartInteraction(position, {\n\t\t\t...selectionRect,\n\t\t\tx: selectionRect.x + $stageRect.x,\n\t\t\ty: selectionRect.y + $stageRect.y\n\t\t});\n\t};\n\n\t//\n\t// History\n\t//\n\tconst handleMarkupUpdate = () => {\n\t\thistory.write();\n\t};\n\n\t// used to fire ping events from\n\tlet pingHub;\n\n\tconst redrawTrigger = getContext('redrawTrigger');\n\tcomponent_subscribe($$self, redrawTrigger, value => $$invalidate(114, $redrawTrigger = value));\n\n\t//\n\t// confirm draft text when leaving view\n\t//\n\tconst toggleShapePrerendering = active => {\n\t\tif (!shapes) return;\n\n\t\tshapes.set($shapes.map(shape => {\n\t\t\tshape._prerender = active ? shapeIsEditing(shape) : false;\n\t\t\treturn shape;\n\t\t}));\n\t};\n\n\t//\n\t// Footer style\n\t//\n\tconst footerOffset = spring($isAnimated ? 20 : 0);\n\n\tcomponent_subscribe($$self, footerOffset, value => $$invalidate(111, $footerOffset = value));\n\n\tfunction measure_handler_1(event) {\n\t\tbubble.call(this, $$self, event);\n\t}\n\n\tconst func = option => option[0] === toolActive;\n\n\tconst func_1 = shape => {\n\t\tping('addshape', shape);\n\t\thandleMarkupUpdate();\n\t};\n\n\tconst func_2 = shape => {\n\t\tping('selectshape', shape);\n\t};\n\n\tconst func_3 = shape => {\n\t\tping('tapshape', shape);\n\t};\n\n\tconst func_4 = shape => {\n\t\tping('updateshape', shape);\n\t\thandleMarkupUpdate();\n\t};\n\n\tconst func_5 = shape => {\n\t\tping('removeshape', shape);\n\t\thandleMarkupUpdate();\n\t};\n\n\tfunction shapelayouteditor_binding($$value) {\n\t\tbinding_callbacks[$$value ? 'unshift' : 'push'](() => {\n\t\t\tmarkupEditor = $$value;\n\t\t\t$$invalidate(21, markupEditor);\n\t\t});\n\t}\n\n\tfunction shapelayouteditor_markup_binding(value) {\n\t\t$shapes = value;\n\t\tshapes.set($shapes);\n\t}\n\n\tfunction shapelayouteditor_ui_binding(value) {\n\t\t$imageOverlayMarkup = value;\n\t\timageOverlayMarkup.set($imageOverlayMarkup);\n\t}\n\n\tfunction div_binding($$value) {\n\t\tbinding_callbacks[$$value ? 'unshift' : 'push'](() => {\n\t\t\tpingHub = $$value;\n\t\t\t$$invalidate(22, pingHub);\n\t\t});\n\t}\n\n\tfunction measure_handler(event) {\n\t\tbubble.call(this, $$self, event);\n\t}\n\n\t$$self.$$set = $$props => {\n\t\tif ('isActive' in $$props) $$subscribe_isActive($$invalidate(1, isActive = $$props.isActive));\n\t\tif ('isActiveFraction' in $$props) $$subscribe_isActiveFraction($$invalidate(2, isActiveFraction = $$props.isActiveFraction));\n\t\tif ('isVisible' in $$props) $$subscribe_isVisible($$invalidate(3, isVisible = $$props.isVisible));\n\t\tif ('stores' in $$props) $$invalidate(84, stores = $$props.stores);\n\t\tif ('locale' in $$props) $$invalidate(4, locale = $$props.locale);\n\t\tif ('shapes' in $$props) $$subscribe_shapes($$invalidate(5, shapes = $$props.shapes));\n\t\tif ('toolbar' in $$props) $$invalidate(85, toolbar = $$props.toolbar);\n\t\tif ('toolShapes' in $$props) $$invalidate(86, toolShapes = $$props.toolShapes);\n\t\tif ('toolActive' in $$props) $$invalidate(0, toolActive = $$props.toolActive);\n\t\tif ('toolSelectRadius' in $$props) $$invalidate(6, toolSelectRadius = $$props.toolSelectRadius);\n\t\tif ('toolRetainStyles' in $$props) $$invalidate(87, toolRetainStyles = $$props.toolRetainStyles);\n\t\tif ('textInputMode' in $$props) $$invalidate(7, textInputMode = $$props.textInputMode);\n\t\tif ('shapeControls' in $$props) $$invalidate(8, shapeControls = $$props.shapeControls);\n\t\tif ('enableButtonFlipVertical' in $$props) $$invalidate(9, enableButtonFlipVertical = $$props.enableButtonFlipVertical);\n\t\tif ('enablePresetSelectImage' in $$props) $$invalidate(10, enablePresetSelectImage = $$props.enablePresetSelectImage);\n\t\tif ('enablePresetDropImage' in $$props) $$invalidate(11, enablePresetDropImage = $$props.enablePresetDropImage);\n\t\tif ('enableSelectToolToAddShape' in $$props) $$invalidate(88, enableSelectToolToAddShape = $$props.enableSelectToolToAddShape);\n\t\tif ('enableAutoSelectMoveTool' in $$props) $$invalidate(89, enableAutoSelectMoveTool = $$props.enableAutoSelectMoveTool);\n\t\tif ('enableTapToAddText' in $$props) $$invalidate(12, enableTapToAddText = $$props.enableTapToAddText);\n\t\tif ('enableMoveTool' in $$props) $$invalidate(90, enableMoveTool = $$props.enableMoveTool);\n\t\tif ('enableViewTool' in $$props) $$invalidate(91, enableViewTool = $$props.enableViewTool);\n\t\tif ('enableToolShareStyles' in $$props) $$invalidate(92, enableToolShareStyles = $$props.enableToolShareStyles);\n\t\tif ('willRenderPresetToolbar' in $$props) $$invalidate(93, willRenderPresetToolbar = $$props.willRenderPresetToolbar);\n\t\tif ('willStartInteraction' in $$props) $$invalidate(94, willStartInteraction = $$props.willStartInteraction);\n\t\tif ('shapePresets' in $$props) $$invalidate(13, shapePresets = $$props.shapePresets);\n\t\tif ('utilKey' in $$props) $$invalidate(14, utilKey = $$props.utilKey);\n\t\tif ('mapScreenPointToImagePoint' in $$props) $$invalidate(15, mapScreenPointToImagePoint = $$props.mapScreenPointToImagePoint);\n\t\tif ('mapImagePointToScreenPoint' in $$props) $$invalidate(16, mapImagePointToScreenPoint = $$props.mapImagePointToScreenPoint);\n\t\tif ('imageRotation' in $$props) $$invalidate(17, imageRotation = $$props.imageRotation);\n\t\tif ('imageFlipX' in $$props) $$invalidate(18, imageFlipX = $$props.imageFlipX);\n\t\tif ('imageFlipY' in $$props) $$invalidate(19, imageFlipY = $$props.imageFlipY);\n\t\tif ('parentRect' in $$props) $$subscribe_parentRect($$invalidate(20, parentRect = $$props.parentRect));\n\t\tif ('hooks' in $$props) $$invalidate(95, hooks = $$props.hooks);\n\t};\n\n\t$$self.$$.update = () => {\n\t\tif ($$self.$$.dirty[2] & /*toolShapes*/ 16777216 | $$self.$$.dirty[3] & /*activeToolShapes*/ 8) {\n\t\t\tif (!activeToolShapes || toolShapes !== activeToolShapes) {\n\t\t\t\t$$invalidate(96, activeToolShapes = toolShapes);\n\t\t\t}\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*$isActive*/ 67108864) {\n\t\t\t// enable pan and zoom for shape manipulation plugins\n\t\t\tallowPan.set($isActive);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*$isActive*/ 67108864) {\n\t\t\tallowZoom.set($isActive);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*$isActive*/ 67108864) {\n\t\t\tallowZoomControls.set($isActive);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*shapePresets*/ 8192 | $$self.$$.dirty[2] & /*toolbar, enableMoveTool, enableViewTool*/ 813694976 | $$self.$$.dirty[3] & /*willRenderPresetToolbar*/ 1) {\n\t\t\t$$invalidate(25, toolsFiltered = filterTools(toolbar, {\n\t\t\t\twillRenderPresetToolbar,\n\t\t\t\tshapePresets,\n\t\t\t\tenableMoveTool,\n\t\t\t\tenableViewTool\n\t\t\t}));\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*shapeControls*/ 256) {\n\t\t\t$$invalidate(108, hasShapeControls = Object.keys(shapeControls).length);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*toolsFiltered*/ 33554432) {\n\t\t\t$$invalidate(41, showToolbar = toolsFiltered.length > 1);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*toolsFiltered*/ 33554432) {\n\t\t\t$$invalidate(109, hasTools = !!toolsFiltered.length);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*toolActive, toolsFiltered*/ 33554433 | $$self.$$.dirty[3] & /*hasTools*/ 65536) {\n\t\t\t// set to first tool in toolbar list if not defined\n\t\t\tif (hasTools && toolActive === undefined) $$invalidate(0, toolActive = toolsFiltered[0][0]);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*toolActive*/ 1) {\n\t\t\t$$invalidate(110, hasActiveTool = toolActive !== undefined);\n\t\t}\n\n\t\tif ($$self.$$.dirty[3] & /*hasActiveTool, hasTools, hasShapeControls*/ 229376) {\n\t\t\t$$invalidate(40, shouldRenderControls = (!hasActiveTool || hasTools) && hasShapeControls);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*pingHub*/ 4194304) {\n\t\t\t$$invalidate(23, ping = pingHub && createPingDispatcher(pingHub));\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*$isActive, ping, toolActive*/ 75497473) {\n\t\t\t$isActive && ping && ping('selectcontrol', toolActive);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*$isActive, utilKey*/ 67125248 | $$self.$$.dirty[3] & /*$imagePreviewModifiers*/ 134217728) {\n\t\t\t//\n\t\t\t// enable seeing the markup outlines outside of the crop area\n\t\t\t//\n\t\t\tif ($isActive) {\n\t\t\t\tset_store_value(imagePreviewModifiers, $imagePreviewModifiers[utilKey] = { maskMarkupOpacity: 0.85 }, $imagePreviewModifiers);\n\t\t\t} else {\n\t\t\t\tdelete $imagePreviewModifiers[utilKey];\n\t\t\t}\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*toolActive, markupEditor*/ 2097153) {\n\t\t\tif (toolActive && markupEditor) {\n\t\t\t\tconst draft = markupEditor.getMarkupItemDraft();\n\t\t\t\tif (draft) confirmDraft(draft);\n\t\t\t}\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*toolActive*/ 1) {\n\t\t\tif (toolActive) blurOnToolSwitch();\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*$isActive*/ 67108864 | $$self.$$.dirty[3] & /*$isVisible*/ 67108864) {\n\t\t\t$$invalidate(39, shouldRenderShapeEditor = $isActive && $isVisible);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*$utilRectPadded*/ 1073741824 | $$self.$$.dirty[3] & /*$stageRect*/ 8388608) {\n\t\t\t$$invalidate(38, markupOffset = $utilRectPadded && vectorCreate($stageRect.x - $utilRectPadded.x, $stageRect.y - $utilRectPadded.y));\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*shapeControls*/ 256) {\n\t\t\t$$invalidate(107, markupShapeKeys = Object.keys(shapeControls));\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*$isActive, $shapes*/ 201326592) {\n\t\t\t$$invalidate(99, markupSelected = $isActive && $shapes.filter(shapeIsSelected)[0]);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*$isActive, $shapes*/ 201326592) {\n\t\t\t$$invalidate(102, markupEditing = $isActive && $shapes.find(shape => shapeIsEditing(shape)));\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*$isActive, toolActive*/ 67108865 | $$self.$$.dirty[3] & /*activeToolShapes*/ 8) {\n\t\t\t$$invalidate(105, markupToolShape = $isActive && activeToolShapes[toolActive]\n\t\t\t? shapeFormat(shapeDeepCopy({\n\t\t\t\t\t...activeToolShapes[toolActive][0],\n\t\t\t\t\t...getStoredStyles()\n\t\t\t\t}))\n\t\t\t: {});\n\t\t}\n\n\t\tif ($$self.$$.dirty[3] & /*activeToolShapes*/ 8) {\n\t\t\tif (activeToolShapes) didUpdateToolShapes();\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*toolActive*/ 1 | $$self.$$.dirty[2] & /*enableToolShareStyles*/ 1073741824 | $$self.$$.dirty[3] & /*markupToolShape, markupShapeKeys, markupToolStyles*/ 20496) {\n\t\t\t// compute markup styles\n\t\t\t$$invalidate(106, markupToolStylesComputed = markupToolShape && Object.keys(markupToolShape).reduce(\n\t\t\t\t(prev, key) => {\n\t\t\t\t\t// is styling prevented\n\t\t\t\t\tconst isDisableStyleProp = key === 'disableStyle';\n\n\t\t\t\t\t// can this prop be styled\n\t\t\t\t\tconst isStylableProp = markupShapeKeys.find(shapeKey => shapeKey.split('_').includes(key));\n\n\t\t\t\t\t// skip props that can't be styled, but keep all `disable` props\n\t\t\t\t\tif (!isDisableStyleProp && !isStylableProp) return prev;\n\n\t\t\t\t\t// skip props that are set to undefined, this means they won't auto-inherit current styles (line won't inherit line ends)\n\t\t\t\t\tif (markupToolShape[key] === undefined) return prev;\n\n\t\t\t\t\t// if all styling is disabled we use original shape value\n\t\t\t\t\tif (markupToolShape.disableStyle === true) return prev;\n\n\t\t\t\t\t// if this style key is in disabled list we always use original value\n\t\t\t\t\tif (markupToolShape.disableStyle && markupToolShape.disableStyle.includes(key)) return prev;\n\n\t\t\t\t\t// apply this style\n\t\t\t\t\tconst styles = enableToolShareStyles\n\t\t\t\t\t? markupToolStyles\n\t\t\t\t\t: markupToolStyles[toolActive] || {};\n\n\t\t\t\t\tprev[key] = hasProp(styles, key)\n\t\t\t\t\t? // use merged styles\n\t\t\t\t\t\tstyles[key]\n\t\t\t\t\t: // tool default styles\n\t\t\t\t\t\tmarkupToolShape[key];\n\n\t\t\t\t\treturn prev;\n\t\t\t\t},\n\t\t\t\t{}\n\t\t\t));\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*utilKey, toolActive*/ 16385 | $$self.$$.dirty[2] & /*toolRetainStyles*/ 33554432 | $$self.$$.dirty[3] & /*markupToolStylesComputed*/ 8192) {\n\t\t\ttoolRetainStyles\n\t\t\t? updateInterfaceState(utilKey, toolActive, markupToolStylesComputed)\n\t\t\t: resetInterfaceState(utilKey);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*$isActive*/ 67108864 | $$self.$$.dirty[3] & /*markupSelected, markupToolStylesComputed*/ 8256) {\n\t\t\t$$invalidate(24, markupShapeSelected = $isActive\n\t\t\t? markupSelected || markupToolStylesComputed\n\t\t\t: undefined);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*markupShapeSelected*/ 16777216 | $$self.$$.dirty[3] & /*$shapePreprocessor*/ 33554432) {\n\t\t\t// TODO: remove temporary warning while everyone switches to 8.7.0+\n\t\t\tif (markupShapeSelected && markupShapeSelected.lineEnd && !$shapePreprocessor) {\n\t\t\t\tconsole.warn(`Set shapePreprocessor property to draw lineStart and lineEnd styles.\\nhttps://pqina.nl/pintura/docs/v8/api/exports/#createshapepreprocessor`);\n\t\t\t}\n\t\t}\n\n\t\tif ($$self.$$.dirty[3] & /*markupToolShape, markupToolStylesComputed*/ 12288) {\n\t\t\t$$invalidate(37, toolEraseRadius = markupToolShape && isNumber(markupToolShape.eraseRadius)\n\t\t\t? (markupToolStylesComputed || markupToolShape).eraseRadius\n\t\t\t: undefined);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*toolActive, shapePresets, enablePresetSelectImage*/ 9217 | $$self.$$.dirty[3] & /*willRenderPresetToolbar*/ 1) {\n\t\t\t//\n\t\t\t// presets\n\t\t\t//\n\t\t\t$$invalidate(36, shouldRenderPresets = toolActive === 'preset' && (shapePresets.length > 0 || enablePresetSelectImage || willRenderPresetToolbar));\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*$parentRect*/ 536870912) {\n\t\t\t// if parent rect is a `Size` we're sticking presets to the image context\n\t\t\tshouldStickToImage = !hasProp($parentRect, 'x') && !hasProp($parentRect, 'y');\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*$isActive*/ 67108864 | $$self.$$.dirty[3] & /*$keysPressedStore*/ 16777216) {\n\t\t\t//#region Pan and Zoom\n\t\t\t$$invalidate(103, userEnabledPanModeWithKeyboard = $isActive && $keysPressedStore && $keysPressedStore[0] === 32);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*$isActive, toolActive*/ 67108865) {\n\t\t\t$$invalidate(104, userEnabledPanModeWithButton = $isActive && toolActive === 'view');\n\t\t}\n\n\t\tif ($$self.$$.dirty[3] & /*userEnabledPanModeWithButton, userEnabledPanModeWithKeyboard*/ 3072) {\n\t\t\t$$invalidate(101, enablePanMode = userEnabledPanModeWithButton || userEnabledPanModeWithKeyboard);\n\t\t}\n\n\t\tif ($$self.$$.dirty[3] & /*markupEditing*/ 512) {\n\t\t\t$$invalidate(100, isEditingText = !!markupEditing);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*$isActive*/ 67108864 | $$self.$$.dirty[3] & /*enablePanMode, isEditingText*/ 384) {\n\t\t\tenablePanInput.set($isActive ? enablePanMode && !isEditingText : true);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*$isActive*/ 67108864 | $$self.$$.dirty[3] & /*isEditingText*/ 128) {\n\t\t\tenableZoomInput.set($isActive ? !isEditingText : true);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*$enablePanInputStatus, toolActive*/ 268435457 | $$self.$$.dirty[3] & /*hoverShape, markupSelected*/ 96) {\n\t\t\t$$invalidate(35, cursor = getCursor(hoverShape, markupSelected, $enablePanInputStatus, isPanning, toolActive));\n\t\t}\n\n\t\tif ($$self.$$.dirty[3] & /*$elasticityMultiplier*/ 4194304) {\n\t\t\t//\n\t\t\t// scroll components\n\t\t\t//\n\t\t\t$$invalidate(34, computedScrollElasticity = $elasticityMultiplier * scrollElasticity);\n\t\t}\n\n\t\tif ($$self.$$.dirty[3] & /*$redrawTrigger, willRenderPresetToolbar, $env*/ 3145729) {\n\t\t\t$$invalidate(33, runWillRenderPresetToolbarHook = $redrawTrigger && willRenderPresetToolbar\n\t\t\t? toolbar => runSafe(() => willRenderPresetToolbar(toolbar, addPreset, { ...$env }, () => redrawTrigger.set({})))\n\t\t\t: passthrough);\n\t\t}\n\n\t\tif ($$self.$$.dirty[3] & /*hooks*/ 4) {\n\t\t\t//\n\t\t\t// filter out beforeAdd hook\n\t\t\t//\n\t\t\t$$invalidate(32, layoutEditorHooks = Object.keys(hooks).reduce(\n\t\t\t\t(prev, curr) => {\n\t\t\t\t\tif (curr === 'beforeAddShape' || hooks[curr] === undefined) return prev;\n\t\t\t\t\tprev[curr] = hooks[curr];\n\t\t\t\t\treturn prev;\n\t\t\t\t},\n\t\t\t\t{}\n\t\t\t));\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*$isActive*/ 67108864) {\n\t\t\ttoggleShapePrerendering($isActive);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*$isActive*/ 67108864 | $$self.$$.dirty[3] & /*$isAnimated*/ 524288) {\n\t\t\t$isAnimated && footerOffset.set($isActive ? 0 : 20);\n\t\t}\n\n\t\tif ($$self.$$.dirty[3] & /*$footerOffset*/ 262144) {\n\t\t\t$$invalidate(31, footerStyle = $footerOffset\n\t\t\t? `transform: translateY(${$footerOffset}px)`\n\t\t\t: undefined);\n\t\t}\n\t};\n\n\treturn [\n\t\ttoolActive,\n\t\tisActive,\n\t\tisActiveFraction,\n\t\tisVisible,\n\t\tlocale,\n\t\tshapes,\n\t\ttoolSelectRadius,\n\t\ttextInputMode,\n\t\tshapeControls,\n\t\tenableButtonFlipVertical,\n\t\tenablePresetSelectImage,\n\t\tenablePresetDropImage,\n\t\tenableTapToAddText,\n\t\tshapePresets,\n\t\tutilKey,\n\t\tmapScreenPointToImagePoint,\n\t\tmapImagePointToScreenPoint,\n\t\timageRotation,\n\t\timageFlipX,\n\t\timageFlipY,\n\t\tparentRect,\n\t\tmarkupEditor,\n\t\tpingHub,\n\t\tping,\n\t\tmarkupShapeSelected,\n\t\ttoolsFiltered,\n\t\t$isActive,\n\t\t$shapes,\n\t\t$enablePanInputStatus,\n\t\t$parentRect,\n\t\t$utilRectPadded,\n\t\tfooterStyle,\n\t\tlayoutEditorHooks,\n\t\trunWillRenderPresetToolbarHook,\n\t\tcomputedScrollElasticity,\n\t\tcursor,\n\t\tshouldRenderPresets,\n\t\ttoolEraseRadius,\n\t\tmarkupOffset,\n\t\tshouldRenderShapeEditor,\n\t\tshouldRenderControls,\n\t\tshowToolbar,\n\t\t$imageSelectionZoomCurrent,\n\t\t$rootRect,\n\t\t$imageOverlayMarkup,\n\t\t$isActiveFraction,\n\t\t$rootColorSecondary,\n\t\tisAnimated,\n\t\telasticityMultiplier,\n\t\tui,\n\t\tenv,\n\t\trootRect,\n\t\trootColorSecondary,\n\t\tenablePanInputStatus,\n\t\tstageRect,\n\t\tutilRectPadded,\n\t\timageOverlayMarkup,\n\t\timagePreviewModifiers,\n\t\timageCropRect,\n\t\tshapePreprocessor,\n\t\tstageScalar,\n\t\timageSelectionRect,\n\t\timageSelectionZoomCurrent,\n\t\timageSelectionPan,\n\t\tkeysPressedStore,\n\t\tupdateActiveTool,\n\t\thandleInteractionStart,\n\t\thandleInteractionUpdate,\n\t\thandleInteractionRelease,\n\t\thandleInteractionCancel,\n\t\thandleInteractionEnd,\n\t\thandleKey,\n\t\thandleUpdateSelectedMarkupShape,\n\t\thandleTapCanvas,\n\t\thandleHoverShape,\n\t\thandleGrabPreset,\n\t\thandleDragPreset,\n\t\thandleDropPreset,\n\t\thandleAddPreset,\n\t\thandleDropFiles,\n\t\thandleWillStartInteraction,\n\t\thandleMarkupUpdate,\n\t\tredrawTrigger,\n\t\tfooterOffset,\n\t\tstores,\n\t\ttoolbar,\n\t\ttoolShapes,\n\t\ttoolRetainStyles,\n\t\tenableSelectToolToAddShape,\n\t\tenableAutoSelectMoveTool,\n\t\tenableMoveTool,\n\t\tenableViewTool,\n\t\tenableToolShareStyles,\n\t\twillRenderPresetToolbar,\n\t\twillStartInteraction,\n\t\thooks,\n\t\tactiveToolShapes,\n\t\tmarkupToolStyles,\n\t\thoverShape,\n\t\tmarkupSelected,\n\t\tisEditingText,\n\t\tenablePanMode,\n\t\tmarkupEditing,\n\t\tuserEnabledPanModeWithKeyboard,\n\t\tuserEnabledPanModeWithButton,\n\t\tmarkupToolShape,\n\t\tmarkupToolStylesComputed,\n\t\tmarkupShapeKeys,\n\t\thasShapeControls,\n\t\thasTools,\n\t\thasActiveTool,\n\t\t$footerOffset,\n\t\t$isAnimated,\n\t\t$env,\n\t\t$redrawTrigger,\n\t\t$elasticityMultiplier,\n\t\t$stageRect,\n\t\t$keysPressedStore,\n\t\t$shapePreprocessor,\n\t\t$isVisible,\n\t\t$imagePreviewModifiers,\n\t\tmeasure_handler_1,\n\t\tfunc,\n\t\tfunc_1,\n\t\tfunc_2,\n\t\tfunc_3,\n\t\tfunc_4,\n\t\tfunc_5,\n\t\tshapelayouteditor_binding,\n\t\tshapelayouteditor_markup_binding,\n\t\tshapelayouteditor_ui_binding,\n\t\tdiv_binding,\n\t\tmeasure_handler\n\t];\n}\n\nclass ShapeUtil extends SvelteComponent {\n\tconstructor(options) {\n\t\tsuper();\n\n\t\tinit(\n\t\t\tthis,\n\t\t\toptions,\n\t\t\tinstance$a,\n\t\t\tcreate_fragment$a,\n\t\t\tsafe_not_equal,\n\t\t\t{\n\t\t\t\tisActive: 1,\n\t\t\t\tisActiveFraction: 2,\n\t\t\t\tisVisible: 3,\n\t\t\t\tstores: 84,\n\t\t\t\tlocale: 4,\n\t\t\t\tshapes: 5,\n\t\t\t\ttoolbar: 85,\n\t\t\t\ttoolShapes: 86,\n\t\t\t\ttoolActive: 0,\n\t\t\t\ttoolSelectRadius: 6,\n\t\t\t\ttoolRetainStyles: 87,\n\t\t\t\ttextInputMode: 7,\n\t\t\t\tshapeControls: 8,\n\t\t\t\tenableButtonFlipVertical: 9,\n\t\t\t\tenablePresetSelectImage: 10,\n\t\t\t\tenablePresetDropImage: 11,\n\t\t\t\tenableSelectToolToAddShape: 88,\n\t\t\t\tenableAutoSelectMoveTool: 89,\n\t\t\t\tenableTapToAddText: 12,\n\t\t\t\tenableMoveTool: 90,\n\t\t\t\tenableViewTool: 91,\n\t\t\t\tenableToolShareStyles: 92,\n\t\t\t\twillRenderPresetToolbar: 93,\n\t\t\t\twillStartInteraction: 94,\n\t\t\t\tshapePresets: 13,\n\t\t\t\tutilKey: 14,\n\t\t\t\tmapScreenPointToImagePoint: 15,\n\t\t\t\tmapImagePointToScreenPoint: 16,\n\t\t\t\timageRotation: 17,\n\t\t\t\timageFlipX: 18,\n\t\t\t\timageFlipY: 19,\n\t\t\t\tparentRect: 20,\n\t\t\t\thooks: 95\n\t\t\t},\n\t\t\tnull,\n\t\t\t[-1, -1, -1, -1, -1, -1]\n\t\t);\n\t}\n\n\tget isActive() {\n\t\treturn this.$$.ctx[1];\n\t}\n\n\tset isActive(isActive) {\n\t\tthis.$$set({ isActive });\n\t\tflush();\n\t}\n\n\tget isActiveFraction() {\n\t\treturn this.$$.ctx[2];\n\t}\n\n\tset isActiveFraction(isActiveFraction) {\n\t\tthis.$$set({ isActiveFraction });\n\t\tflush();\n\t}\n\n\tget isVisible() {\n\t\treturn this.$$.ctx[3];\n\t}\n\n\tset isVisible(isVisible) {\n\t\tthis.$$set({ isVisible });\n\t\tflush();\n\t}\n\n\tget stores() {\n\t\treturn this.$$.ctx[84];\n\t}\n\n\tset stores(stores) {\n\t\tthis.$$set({ stores });\n\t\tflush();\n\t}\n\n\tget locale() {\n\t\treturn this.$$.ctx[4];\n\t}\n\n\tset locale(locale) {\n\t\tthis.$$set({ locale });\n\t\tflush();\n\t}\n\n\tget shapes() {\n\t\treturn this.$$.ctx[5];\n\t}\n\n\tset shapes(shapes) {\n\t\tthis.$$set({ shapes });\n\t\tflush();\n\t}\n\n\tget toolbar() {\n\t\treturn this.$$.ctx[85];\n\t}\n\n\tset toolbar(toolbar) {\n\t\tthis.$$set({ toolbar });\n\t\tflush();\n\t}\n\n\tget toolShapes() {\n\t\treturn this.$$.ctx[86];\n\t}\n\n\tset toolShapes(toolShapes) {\n\t\tthis.$$set({ toolShapes });\n\t\tflush();\n\t}\n\n\tget toolActive() {\n\t\treturn this.$$.ctx[0];\n\t}\n\n\tset toolActive(toolActive) {\n\t\tthis.$$set({ toolActive });\n\t\tflush();\n\t}\n\n\tget toolSelectRadius() {\n\t\treturn this.$$.ctx[6];\n\t}\n\n\tset toolSelectRadius(toolSelectRadius) {\n\t\tthis.$$set({ toolSelectRadius });\n\t\tflush();\n\t}\n\n\tget toolRetainStyles() {\n\t\treturn this.$$.ctx[87];\n\t}\n\n\tset toolRetainStyles(toolRetainStyles) {\n\t\tthis.$$set({ toolRetainStyles });\n\t\tflush();\n\t}\n\n\tget textInputMode() {\n\t\treturn this.$$.ctx[7];\n\t}\n\n\tset textInputMode(textInputMode) {\n\t\tthis.$$set({ textInputMode });\n\t\tflush();\n\t}\n\n\tget shapeControls() {\n\t\treturn this.$$.ctx[8];\n\t}\n\n\tset shapeControls(shapeControls) {\n\t\tthis.$$set({ shapeControls });\n\t\tflush();\n\t}\n\n\tget enableButtonFlipVertical() {\n\t\treturn this.$$.ctx[9];\n\t}\n\n\tset enableButtonFlipVertical(enableButtonFlipVertical) {\n\t\tthis.$$set({ enableButtonFlipVertical });\n\t\tflush();\n\t}\n\n\tget enablePresetSelectImage() {\n\t\treturn this.$$.ctx[10];\n\t}\n\n\tset enablePresetSelectImage(enablePresetSelectImage) {\n\t\tthis.$$set({ enablePresetSelectImage });\n\t\tflush();\n\t}\n\n\tget enablePresetDropImage() {\n\t\treturn this.$$.ctx[11];\n\t}\n\n\tset enablePresetDropImage(enablePresetDropImage) {\n\t\tthis.$$set({ enablePresetDropImage });\n\t\tflush();\n\t}\n\n\tget enableSelectToolToAddShape() {\n\t\treturn this.$$.ctx[88];\n\t}\n\n\tset enableSelectToolToAddShape(enableSelectToolToAddShape) {\n\t\tthis.$$set({ enableSelectToolToAddShape });\n\t\tflush();\n\t}\n\n\tget enableAutoSelectMoveTool() {\n\t\treturn this.$$.ctx[89];\n\t}\n\n\tset enableAutoSelectMoveTool(enableAutoSelectMoveTool) {\n\t\tthis.$$set({ enableAutoSelectMoveTool });\n\t\tflush();\n\t}\n\n\tget enableTapToAddText() {\n\t\treturn this.$$.ctx[12];\n\t}\n\n\tset enableTapToAddText(enableTapToAddText) {\n\t\tthis.$$set({ enableTapToAddText });\n\t\tflush();\n\t}\n\n\tget enableMoveTool() {\n\t\treturn this.$$.ctx[90];\n\t}\n\n\tset enableMoveTool(enableMoveTool) {\n\t\tthis.$$set({ enableMoveTool });\n\t\tflush();\n\t}\n\n\tget enableViewTool() {\n\t\treturn this.$$.ctx[91];\n\t}\n\n\tset enableViewTool(enableViewTool) {\n\t\tthis.$$set({ enableViewTool });\n\t\tflush();\n\t}\n\n\tget enableToolShareStyles() {\n\t\treturn this.$$.ctx[92];\n\t}\n\n\tset enableToolShareStyles(enableToolShareStyles) {\n\t\tthis.$$set({ enableToolShareStyles });\n\t\tflush();\n\t}\n\n\tget willRenderPresetToolbar() {\n\t\treturn this.$$.ctx[93];\n\t}\n\n\tset willRenderPresetToolbar(willRenderPresetToolbar) {\n\t\tthis.$$set({ willRenderPresetToolbar });\n\t\tflush();\n\t}\n\n\tget willStartInteraction() {\n\t\treturn this.$$.ctx[94];\n\t}\n\n\tset willStartInteraction(willStartInteraction) {\n\t\tthis.$$set({ willStartInteraction });\n\t\tflush();\n\t}\n\n\tget shapePresets() {\n\t\treturn this.$$.ctx[13];\n\t}\n\n\tset shapePresets(shapePresets) {\n\t\tthis.$$set({ shapePresets });\n\t\tflush();\n\t}\n\n\tget utilKey() {\n\t\treturn this.$$.ctx[14];\n\t}\n\n\tset utilKey(utilKey) {\n\t\tthis.$$set({ utilKey });\n\t\tflush();\n\t}\n\n\tget mapScreenPointToImagePoint() {\n\t\treturn this.$$.ctx[15];\n\t}\n\n\tset mapScreenPointToImagePoint(mapScreenPointToImagePoint) {\n\t\tthis.$$set({ mapScreenPointToImagePoint });\n\t\tflush();\n\t}\n\n\tget mapImagePointToScreenPoint() {\n\t\treturn this.$$.ctx[16];\n\t}\n\n\tset mapImagePointToScreenPoint(mapImagePointToScreenPoint) {\n\t\tthis.$$set({ mapImagePointToScreenPoint });\n\t\tflush();\n\t}\n\n\tget imageRotation() {\n\t\treturn this.$$.ctx[17];\n\t}\n\n\tset imageRotation(imageRotation) {\n\t\tthis.$$set({ imageRotation });\n\t\tflush();\n\t}\n\n\tget imageFlipX() {\n\t\treturn this.$$.ctx[18];\n\t}\n\n\tset imageFlipX(imageFlipX) {\n\t\tthis.$$set({ imageFlipX });\n\t\tflush();\n\t}\n\n\tget imageFlipY() {\n\t\treturn this.$$.ctx[19];\n\t}\n\n\tset imageFlipY(imageFlipY) {\n\t\tthis.$$set({ imageFlipY });\n\t\tflush();\n\t}\n\n\tget parentRect() {\n\t\treturn this.$$.ctx[20];\n\t}\n\n\tset parentRect(parentRect) {\n\t\tthis.$$set({ parentRect });\n\t\tflush();\n\t}\n\n\tget hooks() {\n\t\treturn this.$$.ctx[95];\n\t}\n\n\tset hooks(hooks) {\n\t\tthis.$$set({ hooks });\n\t\tflush();\n\t}\n}\n\nvar _mapImagePointToScreenPoint = (imagePoint, canvasSize, imageSize, imageOrigin, imageTranslation, imageRotation, imageScalar, imageFlipX, imageFlipY) => {\n    const mappedPoint = vectorClone(imagePoint);\n    const imageCenterX = imageSize.width * 0.5;\n    const imageCenterY = imageSize.height * 0.5;\n    const canvasCenterX = canvasSize.width * 0.5;\n    const canvasCenterY = canvasSize.height * 0.5;\n    const imageOffsetX = imageTranslation.x + imageOrigin.x;\n    const imageOffsetY = imageTranslation.y + imageOrigin.y;\n    if (imageFlipX)\n        mappedPoint.x = imageSize.width - mappedPoint.x;\n    if (imageFlipY)\n        mappedPoint.y = imageSize.height - mappedPoint.y;\n    // rotate around image center based on if image is rotated\n    const c = Math.cos(imageRotation);\n    const s = Math.sin(imageRotation);\n    mappedPoint.x -= imageCenterX;\n    mappedPoint.y -= imageCenterY;\n    const rx = mappedPoint.x * c - mappedPoint.y * s;\n    const ry = mappedPoint.x * s + mappedPoint.y * c;\n    mappedPoint.x = imageCenterX + rx;\n    mappedPoint.y = imageCenterY + ry;\n    // position based on screen transforms\n    mappedPoint.x *= imageScalar;\n    mappedPoint.y *= imageScalar;\n    mappedPoint.x += canvasCenterX;\n    mappedPoint.y += canvasCenterY;\n    mappedPoint.x += imageOffsetX;\n    mappedPoint.y += imageOffsetY;\n    mappedPoint.x -= imageCenterX * imageScalar;\n    mappedPoint.y -= imageCenterY * imageScalar;\n    const tx = (imageTranslation.x - imageOffsetX) * imageScalar;\n    const ty = (imageTranslation.y - imageOffsetY) * imageScalar;\n    const rtx = tx * c - ty * s;\n    const rty = tx * s + ty * c;\n    mappedPoint.x += rtx;\n    mappedPoint.y += rty;\n    return mappedPoint;\n};\n\nvar _mapScreenPointToImagePoint = (screenPoint, canvasSize, imageSize, imageOrigin, imageTranslation, imageRotation, imageScalar, imageFlipX, imageFlipY) => {\n    const mappedPoint = vectorClone(screenPoint);\n    const imageCenter = sizeCenter(imageSize);\n    const canvasCenter = sizeCenter(canvasSize);\n    const imageOffset = vectorCreate(imageTranslation.x + imageOrigin.x, imageTranslation.y + imageOrigin.y);\n    const c = Math.cos(imageRotation);\n    const s = Math.sin(imageRotation);\n    mappedPoint.x -= canvasCenter.x;\n    mappedPoint.y -= canvasCenter.y;\n    const tx = (imageTranslation.x - imageOffset.x) * imageScalar;\n    const ty = (imageTranslation.y - imageOffset.y) * imageScalar;\n    const rtx = tx * c - ty * s;\n    const rty = tx * s + ty * c;\n    mappedPoint.x -= rtx;\n    mappedPoint.y -= rty;\n    mappedPoint.x -= imageOffset.x;\n    mappedPoint.y -= imageOffset.y;\n    mappedPoint.x /= imageScalar;\n    mappedPoint.y /= imageScalar;\n    const rx = mappedPoint.x * c + mappedPoint.y * s;\n    const ry = mappedPoint.x * s - mappedPoint.y * c;\n    mappedPoint.x = rx;\n    mappedPoint.y = -ry;\n    mappedPoint.x += imageCenter.x;\n    mappedPoint.y += imageCenter.y;\n    if (imageFlipX)\n        mappedPoint.x = imageSize.width - mappedPoint.x;\n    if (imageFlipY)\n        mappedPoint.y = imageSize.height - mappedPoint.y;\n    return mappedPoint;\n};\n\n/* src/core/ui/plugins/annotate/index.svelte generated by Svelte v3.52.0 */\n\nfunction create_fragment$9(ctx) {\n\tlet shapeutil;\n\tlet updating_toolActive;\n\tlet current;\n\n\tfunction shapeutil_toolActive_binding(value) {\n\t\t/*shapeutil_toolActive_binding*/ ctx[53](value);\n\t}\n\n\tlet shapeutil_props = {\n\t\tutilKey: 'annotate',\n\t\tstores: /*stores*/ ctx[4],\n\t\tlocale: /*locale*/ ctx[5],\n\t\tisActive: /*isActive*/ ctx[1],\n\t\tisActiveFraction: /*isActiveFraction*/ ctx[2],\n\t\tisVisible: /*isVisible*/ ctx[3],\n\t\tmapScreenPointToImagePoint: /*mapScreenPointToImagePoint*/ ctx[38],\n\t\tmapImagePointToScreenPoint: /*mapImagePointToScreenPoint*/ ctx[37],\n\t\timageRotation: /*$imageRotation*/ ctx[39],\n\t\timageFlipX: /*$imageFlipX*/ ctx[36],\n\t\timageFlipY: /*$imageFlipY*/ ctx[35],\n\t\tshapes: /*imageAnnotation*/ ctx[41],\n\t\ttoolbar: /*annotateTools*/ ctx[14] || /*markupEditorToolbar*/ ctx[6],\n\t\ttoolShapes: /*annotateToolShapes*/ ctx[15] || /*markupEditorToolStyles*/ ctx[7],\n\t\ttoolRetainStyles: /*markupEditorToolRetainStyles*/ ctx[8],\n\t\tenableSelectToolToAddShape: /*enableSelectToolToAddShape*/ ctx[24],\n\t\tenableTapToAddText: /*enableTapToAddText*/ ctx[25],\n\t\tenableViewTool: /*enableViewTool*/ ctx[23],\n\t\tenableMoveTool: /*enableMoveTool*/ ctx[27],\n\t\tenableAutoSelectMoveTool: /*enableAutoSelectMoveTool*/ ctx[26],\n\t\tenableToolShareStyles: /*markupEditorToolShareStyles*/ ctx[12],\n\t\tshapeControls: /*annotateShapeControls*/ ctx[16] || /*markupEditorShapeStyleControls*/ ctx[9],\n\t\tshapePresets: /*annotatePresets*/ ctx[20],\n\t\tenableButtonFlipVertical: /*annotateEnableButtonFlipVertical*/ ctx[17],\n\t\tparentRect: /*imageSize*/ ctx[42],\n\t\tenablePresetDropImage: /*annotateEnableDropImagePreset*/ ctx[19],\n\t\tenablePresetSelectImage: /*annotateEnableSelectImagePreset*/ ctx[18],\n\t\ttoolSelectRadius: /*markupEditorToolSelectRadius*/ ctx[10],\n\t\ttextInputMode: /*markupEditorTextInputMode*/ ctx[11],\n\t\twillStartInteraction: /*markupEditorWillStartInteraction*/ ctx[22],\n\t\twillRenderPresetToolbar: /*annotateWillRenderShapePresetToolbar*/ ctx[21] || /*willRenderShapePresetToolbar*/ ctx[13],\n\t\thooks: {\n\t\t\twillRenderShapeControls: /*willRenderShapeControls*/ ctx[28],\n\t\t\twillRenderShapeTextControls: /*willRenderShapeTextControls*/ ctx[29],\n\t\t\tbeforeAddShape: /*beforeAddShape*/ ctx[30],\n\t\t\tbeforeRemoveShape: /*beforeRemoveShape*/ ctx[31],\n\t\t\tbeforeDeselectShape: /*beforeDeselectShape*/ ctx[32],\n\t\t\tbeforeSelectShape: /*beforeSelectShape*/ ctx[33],\n\t\t\tbeforeUpdateShape: /*beforeUpdateShape*/ ctx[34]\n\t\t}\n\t};\n\n\tif (/*annotateActiveTool*/ ctx[0] !== void 0) {\n\t\tshapeutil_props.toolActive = /*annotateActiveTool*/ ctx[0];\n\t}\n\n\tshapeutil = new ShapeUtil({ props: shapeutil_props });\n\tbinding_callbacks.push(() => bind(shapeutil, 'toolActive', shapeutil_toolActive_binding));\n\tshapeutil.$on(\"measure\", /*measure_handler*/ ctx[54]);\n\n\treturn {\n\t\tc() {\n\t\t\tcreate_component(shapeutil.$$.fragment);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tmount_component(shapeutil, target, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tconst shapeutil_changes = {};\n\t\t\tif (dirty[0] & /*stores*/ 16) shapeutil_changes.stores = /*stores*/ ctx[4];\n\t\t\tif (dirty[0] & /*locale*/ 32) shapeutil_changes.locale = /*locale*/ ctx[5];\n\t\t\tif (dirty[0] & /*isActive*/ 2) shapeutil_changes.isActive = /*isActive*/ ctx[1];\n\t\t\tif (dirty[0] & /*isActiveFraction*/ 4) shapeutil_changes.isActiveFraction = /*isActiveFraction*/ ctx[2];\n\t\t\tif (dirty[0] & /*isVisible*/ 8) shapeutil_changes.isVisible = /*isVisible*/ ctx[3];\n\t\t\tif (dirty[1] & /*mapScreenPointToImagePoint*/ 128) shapeutil_changes.mapScreenPointToImagePoint = /*mapScreenPointToImagePoint*/ ctx[38];\n\t\t\tif (dirty[1] & /*mapImagePointToScreenPoint*/ 64) shapeutil_changes.mapImagePointToScreenPoint = /*mapImagePointToScreenPoint*/ ctx[37];\n\t\t\tif (dirty[1] & /*$imageRotation*/ 256) shapeutil_changes.imageRotation = /*$imageRotation*/ ctx[39];\n\t\t\tif (dirty[1] & /*$imageFlipX*/ 32) shapeutil_changes.imageFlipX = /*$imageFlipX*/ ctx[36];\n\t\t\tif (dirty[1] & /*$imageFlipY*/ 16) shapeutil_changes.imageFlipY = /*$imageFlipY*/ ctx[35];\n\t\t\tif (dirty[0] & /*annotateTools, markupEditorToolbar*/ 16448) shapeutil_changes.toolbar = /*annotateTools*/ ctx[14] || /*markupEditorToolbar*/ ctx[6];\n\t\t\tif (dirty[0] & /*annotateToolShapes, markupEditorToolStyles*/ 32896) shapeutil_changes.toolShapes = /*annotateToolShapes*/ ctx[15] || /*markupEditorToolStyles*/ ctx[7];\n\t\t\tif (dirty[0] & /*markupEditorToolRetainStyles*/ 256) shapeutil_changes.toolRetainStyles = /*markupEditorToolRetainStyles*/ ctx[8];\n\t\t\tif (dirty[0] & /*enableSelectToolToAddShape*/ 16777216) shapeutil_changes.enableSelectToolToAddShape = /*enableSelectToolToAddShape*/ ctx[24];\n\t\t\tif (dirty[0] & /*enableTapToAddText*/ 33554432) shapeutil_changes.enableTapToAddText = /*enableTapToAddText*/ ctx[25];\n\t\t\tif (dirty[0] & /*enableViewTool*/ 8388608) shapeutil_changes.enableViewTool = /*enableViewTool*/ ctx[23];\n\t\t\tif (dirty[0] & /*enableMoveTool*/ 134217728) shapeutil_changes.enableMoveTool = /*enableMoveTool*/ ctx[27];\n\t\t\tif (dirty[0] & /*enableAutoSelectMoveTool*/ 67108864) shapeutil_changes.enableAutoSelectMoveTool = /*enableAutoSelectMoveTool*/ ctx[26];\n\t\t\tif (dirty[0] & /*markupEditorToolShareStyles*/ 4096) shapeutil_changes.enableToolShareStyles = /*markupEditorToolShareStyles*/ ctx[12];\n\t\t\tif (dirty[0] & /*annotateShapeControls, markupEditorShapeStyleControls*/ 66048) shapeutil_changes.shapeControls = /*annotateShapeControls*/ ctx[16] || /*markupEditorShapeStyleControls*/ ctx[9];\n\t\t\tif (dirty[0] & /*annotatePresets*/ 1048576) shapeutil_changes.shapePresets = /*annotatePresets*/ ctx[20];\n\t\t\tif (dirty[0] & /*annotateEnableButtonFlipVertical*/ 131072) shapeutil_changes.enableButtonFlipVertical = /*annotateEnableButtonFlipVertical*/ ctx[17];\n\t\t\tif (dirty[0] & /*annotateEnableDropImagePreset*/ 524288) shapeutil_changes.enablePresetDropImage = /*annotateEnableDropImagePreset*/ ctx[19];\n\t\t\tif (dirty[0] & /*annotateEnableSelectImagePreset*/ 262144) shapeutil_changes.enablePresetSelectImage = /*annotateEnableSelectImagePreset*/ ctx[18];\n\t\t\tif (dirty[0] & /*markupEditorToolSelectRadius*/ 1024) shapeutil_changes.toolSelectRadius = /*markupEditorToolSelectRadius*/ ctx[10];\n\t\t\tif (dirty[0] & /*markupEditorTextInputMode*/ 2048) shapeutil_changes.textInputMode = /*markupEditorTextInputMode*/ ctx[11];\n\t\t\tif (dirty[0] & /*markupEditorWillStartInteraction*/ 4194304) shapeutil_changes.willStartInteraction = /*markupEditorWillStartInteraction*/ ctx[22];\n\t\t\tif (dirty[0] & /*annotateWillRenderShapePresetToolbar, willRenderShapePresetToolbar*/ 2105344) shapeutil_changes.willRenderPresetToolbar = /*annotateWillRenderShapePresetToolbar*/ ctx[21] || /*willRenderShapePresetToolbar*/ ctx[13];\n\n\t\t\tif (dirty[0] & /*willRenderShapeControls, willRenderShapeTextControls, beforeAddShape*/ 1879048192 | dirty[1] & /*beforeRemoveShape, beforeDeselectShape, beforeSelectShape, beforeUpdateShape*/ 15) shapeutil_changes.hooks = {\n\t\t\t\twillRenderShapeControls: /*willRenderShapeControls*/ ctx[28],\n\t\t\t\twillRenderShapeTextControls: /*willRenderShapeTextControls*/ ctx[29],\n\t\t\t\tbeforeAddShape: /*beforeAddShape*/ ctx[30],\n\t\t\t\tbeforeRemoveShape: /*beforeRemoveShape*/ ctx[31],\n\t\t\t\tbeforeDeselectShape: /*beforeDeselectShape*/ ctx[32],\n\t\t\t\tbeforeSelectShape: /*beforeSelectShape*/ ctx[33],\n\t\t\t\tbeforeUpdateShape: /*beforeUpdateShape*/ ctx[34]\n\t\t\t};\n\n\t\t\tif (!updating_toolActive && dirty[0] & /*annotateActiveTool*/ 1) {\n\t\t\t\tupdating_toolActive = true;\n\t\t\t\tshapeutil_changes.toolActive = /*annotateActiveTool*/ ctx[0];\n\t\t\t\tadd_flush_callback(() => updating_toolActive = false);\n\t\t\t}\n\n\t\t\tshapeutil.$set(shapeutil_changes);\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(shapeutil.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(shapeutil.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tdestroy_component(shapeutil, detaching);\n\t\t}\n\t};\n}\n\nfunction instance$9($$self, $$props, $$invalidate) {\n\tlet mapScreenPointToImagePoint;\n\tlet mapImagePointToScreenPoint;\n\tlet $imageFlipY;\n\tlet $imageFlipX;\n\tlet $imageTransformsInterpolated;\n\tlet $imageTransforms;\n\tlet $imageSize;\n\tlet $rootRect;\n\tlet $imageRotation;\n\tconst name = 'annotate';\n\tlet { isActive } = $$props;\n\tlet { isActiveFraction } = $$props;\n\tlet { isVisible } = $$props;\n\tlet { stores } = $$props;\n\tlet { locale = {} } = $$props;\n\tlet { markupEditorToolbar = undefined } = $$props;\n\tlet { markupEditorToolStyles = undefined } = $$props;\n\tlet { markupEditorToolRetainStyles = undefined } = $$props;\n\tlet { markupEditorShapeStyleControls = undefined } = $$props;\n\tlet { markupEditorToolSelectRadius = undefined } = $$props;\n\tlet { markupEditorTextInputMode = undefined } = $$props;\n\tlet { markupEditorToolShareStyles = undefined } = $$props;\n\tlet { willRenderShapePresetToolbar = undefined } = $$props;\n\tlet { annotateTools = undefined } = $$props;\n\tlet { annotateToolShapes = undefined } = $$props;\n\tlet { annotateShapeControls = undefined } = $$props;\n\tlet { annotateActiveTool = undefined } = $$props;\n\tlet { annotateEnableButtonFlipVertical = false } = $$props;\n\tlet { annotateEnableSelectImagePreset = false } = $$props;\n\tlet { annotateEnableDropImagePreset = true } = $$props;\n\tlet { annotatePresets = [] } = $$props;\n\tlet { annotateWillRenderShapePresetToolbar = undefined } = $$props;\n\tlet { markupEditorWillStartInteraction = undefined } = $$props;\n\tlet { enableViewTool = undefined } = $$props;\n\tlet { enableSelectToolToAddShape = undefined } = $$props;\n\tlet { enableTapToAddText = undefined } = $$props;\n\tlet { enableAutoSelectMoveTool = undefined } = $$props;\n\tlet { enableMoveTool = undefined } = $$props;\n\tlet { willRenderShapeControls = undefined } = $$props;\n\tlet { willRenderShapeTextControls = undefined } = $$props;\n\tlet { beforeAddShape = undefined } = $$props;\n\tlet { beforeRemoveShape = undefined } = $$props;\n\tlet { beforeDeselectShape = undefined } = $$props;\n\tlet { beforeSelectShape = undefined } = $$props;\n\tlet { beforeUpdateShape = undefined } = $$props;\n\n\t// export let markupEditorInteractionMode = false; // @deprecated\n\t// connect filter choice to stores\n\tconst { rootRect, imageAnnotation, imageSize, imageRotation, imageFlipX, imageFlipY, imageTransforms, imageTransformsInterpolated } = stores;\n\n\tcomponent_subscribe($$self, rootRect, value => $$invalidate(52, $rootRect = value));\n\tcomponent_subscribe($$self, imageSize, value => $$invalidate(51, $imageSize = value));\n\tcomponent_subscribe($$self, imageRotation, value => $$invalidate(39, $imageRotation = value));\n\tcomponent_subscribe($$self, imageFlipX, value => $$invalidate(36, $imageFlipX = value));\n\tcomponent_subscribe($$self, imageFlipY, value => $$invalidate(35, $imageFlipY = value));\n\tcomponent_subscribe($$self, imageTransforms, value => $$invalidate(50, $imageTransforms = value));\n\tcomponent_subscribe($$self, imageTransformsInterpolated, value => $$invalidate(49, $imageTransformsInterpolated = value));\n\n\tfunction shapeutil_toolActive_binding(value) {\n\t\tannotateActiveTool = value;\n\t\t$$invalidate(0, annotateActiveTool);\n\t}\n\n\tfunction measure_handler(event) {\n\t\tbubble.call(this, $$self, event);\n\t}\n\n\t$$self.$$set = $$props => {\n\t\tif ('isActive' in $$props) $$invalidate(1, isActive = $$props.isActive);\n\t\tif ('isActiveFraction' in $$props) $$invalidate(2, isActiveFraction = $$props.isActiveFraction);\n\t\tif ('isVisible' in $$props) $$invalidate(3, isVisible = $$props.isVisible);\n\t\tif ('stores' in $$props) $$invalidate(4, stores = $$props.stores);\n\t\tif ('locale' in $$props) $$invalidate(5, locale = $$props.locale);\n\t\tif ('markupEditorToolbar' in $$props) $$invalidate(6, markupEditorToolbar = $$props.markupEditorToolbar);\n\t\tif ('markupEditorToolStyles' in $$props) $$invalidate(7, markupEditorToolStyles = $$props.markupEditorToolStyles);\n\t\tif ('markupEditorToolRetainStyles' in $$props) $$invalidate(8, markupEditorToolRetainStyles = $$props.markupEditorToolRetainStyles);\n\t\tif ('markupEditorShapeStyleControls' in $$props) $$invalidate(9, markupEditorShapeStyleControls = $$props.markupEditorShapeStyleControls);\n\t\tif ('markupEditorToolSelectRadius' in $$props) $$invalidate(10, markupEditorToolSelectRadius = $$props.markupEditorToolSelectRadius);\n\t\tif ('markupEditorTextInputMode' in $$props) $$invalidate(11, markupEditorTextInputMode = $$props.markupEditorTextInputMode);\n\t\tif ('markupEditorToolShareStyles' in $$props) $$invalidate(12, markupEditorToolShareStyles = $$props.markupEditorToolShareStyles);\n\t\tif ('willRenderShapePresetToolbar' in $$props) $$invalidate(13, willRenderShapePresetToolbar = $$props.willRenderShapePresetToolbar);\n\t\tif ('annotateTools' in $$props) $$invalidate(14, annotateTools = $$props.annotateTools);\n\t\tif ('annotateToolShapes' in $$props) $$invalidate(15, annotateToolShapes = $$props.annotateToolShapes);\n\t\tif ('annotateShapeControls' in $$props) $$invalidate(16, annotateShapeControls = $$props.annotateShapeControls);\n\t\tif ('annotateActiveTool' in $$props) $$invalidate(0, annotateActiveTool = $$props.annotateActiveTool);\n\t\tif ('annotateEnableButtonFlipVertical' in $$props) $$invalidate(17, annotateEnableButtonFlipVertical = $$props.annotateEnableButtonFlipVertical);\n\t\tif ('annotateEnableSelectImagePreset' in $$props) $$invalidate(18, annotateEnableSelectImagePreset = $$props.annotateEnableSelectImagePreset);\n\t\tif ('annotateEnableDropImagePreset' in $$props) $$invalidate(19, annotateEnableDropImagePreset = $$props.annotateEnableDropImagePreset);\n\t\tif ('annotatePresets' in $$props) $$invalidate(20, annotatePresets = $$props.annotatePresets);\n\t\tif ('annotateWillRenderShapePresetToolbar' in $$props) $$invalidate(21, annotateWillRenderShapePresetToolbar = $$props.annotateWillRenderShapePresetToolbar);\n\t\tif ('markupEditorWillStartInteraction' in $$props) $$invalidate(22, markupEditorWillStartInteraction = $$props.markupEditorWillStartInteraction);\n\t\tif ('enableViewTool' in $$props) $$invalidate(23, enableViewTool = $$props.enableViewTool);\n\t\tif ('enableSelectToolToAddShape' in $$props) $$invalidate(24, enableSelectToolToAddShape = $$props.enableSelectToolToAddShape);\n\t\tif ('enableTapToAddText' in $$props) $$invalidate(25, enableTapToAddText = $$props.enableTapToAddText);\n\t\tif ('enableAutoSelectMoveTool' in $$props) $$invalidate(26, enableAutoSelectMoveTool = $$props.enableAutoSelectMoveTool);\n\t\tif ('enableMoveTool' in $$props) $$invalidate(27, enableMoveTool = $$props.enableMoveTool);\n\t\tif ('willRenderShapeControls' in $$props) $$invalidate(28, willRenderShapeControls = $$props.willRenderShapeControls);\n\t\tif ('willRenderShapeTextControls' in $$props) $$invalidate(29, willRenderShapeTextControls = $$props.willRenderShapeTextControls);\n\t\tif ('beforeAddShape' in $$props) $$invalidate(30, beforeAddShape = $$props.beforeAddShape);\n\t\tif ('beforeRemoveShape' in $$props) $$invalidate(31, beforeRemoveShape = $$props.beforeRemoveShape);\n\t\tif ('beforeDeselectShape' in $$props) $$invalidate(32, beforeDeselectShape = $$props.beforeDeselectShape);\n\t\tif ('beforeSelectShape' in $$props) $$invalidate(33, beforeSelectShape = $$props.beforeSelectShape);\n\t\tif ('beforeUpdateShape' in $$props) $$invalidate(34, beforeUpdateShape = $$props.beforeUpdateShape);\n\t};\n\n\t$$self.$$.update = () => {\n\t\tif ($$self.$$.dirty[1] & /*$rootRect, $imageSize, $imageTransformsInterpolated, $imageTransforms, $imageFlipX, $imageFlipY*/ 3932208) {\n\t\t\t//\n\t\t\t// Mapping coordinates\n\t\t\t//\n\t\t\t$$invalidate(38, mapScreenPointToImagePoint = point => _mapScreenPointToImagePoint(point, $rootRect, $imageSize, $imageTransformsInterpolated.origin, $imageTransformsInterpolated.translation, $imageTransforms.rotation.z, $imageTransformsInterpolated.scale, $imageFlipX, $imageFlipY));\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*$rootRect, $imageSize, $imageTransformsInterpolated, $imageTransforms, $imageFlipX, $imageFlipY*/ 3932208) {\n\t\t\t$$invalidate(37, mapImagePointToScreenPoint = point => _mapImagePointToScreenPoint(point, $rootRect, $imageSize, $imageTransformsInterpolated.origin, $imageTransformsInterpolated.translation, $imageTransforms.rotation.z, $imageTransformsInterpolated.scale, $imageFlipX, $imageFlipY));\n\t\t}\n\t};\n\n\treturn [\n\t\tannotateActiveTool,\n\t\tisActive,\n\t\tisActiveFraction,\n\t\tisVisible,\n\t\tstores,\n\t\tlocale,\n\t\tmarkupEditorToolbar,\n\t\tmarkupEditorToolStyles,\n\t\tmarkupEditorToolRetainStyles,\n\t\tmarkupEditorShapeStyleControls,\n\t\tmarkupEditorToolSelectRadius,\n\t\tmarkupEditorTextInputMode,\n\t\tmarkupEditorToolShareStyles,\n\t\twillRenderShapePresetToolbar,\n\t\tannotateTools,\n\t\tannotateToolShapes,\n\t\tannotateShapeControls,\n\t\tannotateEnableButtonFlipVertical,\n\t\tannotateEnableSelectImagePreset,\n\t\tannotateEnableDropImagePreset,\n\t\tannotatePresets,\n\t\tannotateWillRenderShapePresetToolbar,\n\t\tmarkupEditorWillStartInteraction,\n\t\tenableViewTool,\n\t\tenableSelectToolToAddShape,\n\t\tenableTapToAddText,\n\t\tenableAutoSelectMoveTool,\n\t\tenableMoveTool,\n\t\twillRenderShapeControls,\n\t\twillRenderShapeTextControls,\n\t\tbeforeAddShape,\n\t\tbeforeRemoveShape,\n\t\tbeforeDeselectShape,\n\t\tbeforeSelectShape,\n\t\tbeforeUpdateShape,\n\t\t$imageFlipY,\n\t\t$imageFlipX,\n\t\tmapImagePointToScreenPoint,\n\t\tmapScreenPointToImagePoint,\n\t\t$imageRotation,\n\t\trootRect,\n\t\timageAnnotation,\n\t\timageSize,\n\t\timageRotation,\n\t\timageFlipX,\n\t\timageFlipY,\n\t\timageTransforms,\n\t\timageTransformsInterpolated,\n\t\tname,\n\t\t$imageTransformsInterpolated,\n\t\t$imageTransforms,\n\t\t$imageSize,\n\t\t$rootRect,\n\t\tshapeutil_toolActive_binding,\n\t\tmeasure_handler\n\t];\n}\n\nclass Annotate extends SvelteComponent {\n\tconstructor(options) {\n\t\tsuper();\n\n\t\tinit(\n\t\t\tthis,\n\t\t\toptions,\n\t\t\tinstance$9,\n\t\t\tcreate_fragment$9,\n\t\t\tsafe_not_equal,\n\t\t\t{\n\t\t\t\tname: 48,\n\t\t\t\tisActive: 1,\n\t\t\t\tisActiveFraction: 2,\n\t\t\t\tisVisible: 3,\n\t\t\t\tstores: 4,\n\t\t\t\tlocale: 5,\n\t\t\t\tmarkupEditorToolbar: 6,\n\t\t\t\tmarkupEditorToolStyles: 7,\n\t\t\t\tmarkupEditorToolRetainStyles: 8,\n\t\t\t\tmarkupEditorShapeStyleControls: 9,\n\t\t\t\tmarkupEditorToolSelectRadius: 10,\n\t\t\t\tmarkupEditorTextInputMode: 11,\n\t\t\t\tmarkupEditorToolShareStyles: 12,\n\t\t\t\twillRenderShapePresetToolbar: 13,\n\t\t\t\tannotateTools: 14,\n\t\t\t\tannotateToolShapes: 15,\n\t\t\t\tannotateShapeControls: 16,\n\t\t\t\tannotateActiveTool: 0,\n\t\t\t\tannotateEnableButtonFlipVertical: 17,\n\t\t\t\tannotateEnableSelectImagePreset: 18,\n\t\t\t\tannotateEnableDropImagePreset: 19,\n\t\t\t\tannotatePresets: 20,\n\t\t\t\tannotateWillRenderShapePresetToolbar: 21,\n\t\t\t\tmarkupEditorWillStartInteraction: 22,\n\t\t\t\tenableViewTool: 23,\n\t\t\t\tenableSelectToolToAddShape: 24,\n\t\t\t\tenableTapToAddText: 25,\n\t\t\t\tenableAutoSelectMoveTool: 26,\n\t\t\t\tenableMoveTool: 27,\n\t\t\t\twillRenderShapeControls: 28,\n\t\t\t\twillRenderShapeTextControls: 29,\n\t\t\t\tbeforeAddShape: 30,\n\t\t\t\tbeforeRemoveShape: 31,\n\t\t\t\tbeforeDeselectShape: 32,\n\t\t\t\tbeforeSelectShape: 33,\n\t\t\t\tbeforeUpdateShape: 34\n\t\t\t},\n\t\t\tnull,\n\t\t\t[-1, -1]\n\t\t);\n\t}\n\n\tget name() {\n\t\treturn this.$$.ctx[48];\n\t}\n\n\tget isActive() {\n\t\treturn this.$$.ctx[1];\n\t}\n\n\tset isActive(isActive) {\n\t\tthis.$$set({ isActive });\n\t\tflush();\n\t}\n\n\tget isActiveFraction() {\n\t\treturn this.$$.ctx[2];\n\t}\n\n\tset isActiveFraction(isActiveFraction) {\n\t\tthis.$$set({ isActiveFraction });\n\t\tflush();\n\t}\n\n\tget isVisible() {\n\t\treturn this.$$.ctx[3];\n\t}\n\n\tset isVisible(isVisible) {\n\t\tthis.$$set({ isVisible });\n\t\tflush();\n\t}\n\n\tget stores() {\n\t\treturn this.$$.ctx[4];\n\t}\n\n\tset stores(stores) {\n\t\tthis.$$set({ stores });\n\t\tflush();\n\t}\n\n\tget locale() {\n\t\treturn this.$$.ctx[5];\n\t}\n\n\tset locale(locale) {\n\t\tthis.$$set({ locale });\n\t\tflush();\n\t}\n\n\tget markupEditorToolbar() {\n\t\treturn this.$$.ctx[6];\n\t}\n\n\tset markupEditorToolbar(markupEditorToolbar) {\n\t\tthis.$$set({ markupEditorToolbar });\n\t\tflush();\n\t}\n\n\tget markupEditorToolStyles() {\n\t\treturn this.$$.ctx[7];\n\t}\n\n\tset markupEditorToolStyles(markupEditorToolStyles) {\n\t\tthis.$$set({ markupEditorToolStyles });\n\t\tflush();\n\t}\n\n\tget markupEditorToolRetainStyles() {\n\t\treturn this.$$.ctx[8];\n\t}\n\n\tset markupEditorToolRetainStyles(markupEditorToolRetainStyles) {\n\t\tthis.$$set({ markupEditorToolRetainStyles });\n\t\tflush();\n\t}\n\n\tget markupEditorShapeStyleControls() {\n\t\treturn this.$$.ctx[9];\n\t}\n\n\tset markupEditorShapeStyleControls(markupEditorShapeStyleControls) {\n\t\tthis.$$set({ markupEditorShapeStyleControls });\n\t\tflush();\n\t}\n\n\tget markupEditorToolSelectRadius() {\n\t\treturn this.$$.ctx[10];\n\t}\n\n\tset markupEditorToolSelectRadius(markupEditorToolSelectRadius) {\n\t\tthis.$$set({ markupEditorToolSelectRadius });\n\t\tflush();\n\t}\n\n\tget markupEditorTextInputMode() {\n\t\treturn this.$$.ctx[11];\n\t}\n\n\tset markupEditorTextInputMode(markupEditorTextInputMode) {\n\t\tthis.$$set({ markupEditorTextInputMode });\n\t\tflush();\n\t}\n\n\tget markupEditorToolShareStyles() {\n\t\treturn this.$$.ctx[12];\n\t}\n\n\tset markupEditorToolShareStyles(markupEditorToolShareStyles) {\n\t\tthis.$$set({ markupEditorToolShareStyles });\n\t\tflush();\n\t}\n\n\tget willRenderShapePresetToolbar() {\n\t\treturn this.$$.ctx[13];\n\t}\n\n\tset willRenderShapePresetToolbar(willRenderShapePresetToolbar) {\n\t\tthis.$$set({ willRenderShapePresetToolbar });\n\t\tflush();\n\t}\n\n\tget annotateTools() {\n\t\treturn this.$$.ctx[14];\n\t}\n\n\tset annotateTools(annotateTools) {\n\t\tthis.$$set({ annotateTools });\n\t\tflush();\n\t}\n\n\tget annotateToolShapes() {\n\t\treturn this.$$.ctx[15];\n\t}\n\n\tset annotateToolShapes(annotateToolShapes) {\n\t\tthis.$$set({ annotateToolShapes });\n\t\tflush();\n\t}\n\n\tget annotateShapeControls() {\n\t\treturn this.$$.ctx[16];\n\t}\n\n\tset annotateShapeControls(annotateShapeControls) {\n\t\tthis.$$set({ annotateShapeControls });\n\t\tflush();\n\t}\n\n\tget annotateActiveTool() {\n\t\treturn this.$$.ctx[0];\n\t}\n\n\tset annotateActiveTool(annotateActiveTool) {\n\t\tthis.$$set({ annotateActiveTool });\n\t\tflush();\n\t}\n\n\tget annotateEnableButtonFlipVertical() {\n\t\treturn this.$$.ctx[17];\n\t}\n\n\tset annotateEnableButtonFlipVertical(annotateEnableButtonFlipVertical) {\n\t\tthis.$$set({ annotateEnableButtonFlipVertical });\n\t\tflush();\n\t}\n\n\tget annotateEnableSelectImagePreset() {\n\t\treturn this.$$.ctx[18];\n\t}\n\n\tset annotateEnableSelectImagePreset(annotateEnableSelectImagePreset) {\n\t\tthis.$$set({ annotateEnableSelectImagePreset });\n\t\tflush();\n\t}\n\n\tget annotateEnableDropImagePreset() {\n\t\treturn this.$$.ctx[19];\n\t}\n\n\tset annotateEnableDropImagePreset(annotateEnableDropImagePreset) {\n\t\tthis.$$set({ annotateEnableDropImagePreset });\n\t\tflush();\n\t}\n\n\tget annotatePresets() {\n\t\treturn this.$$.ctx[20];\n\t}\n\n\tset annotatePresets(annotatePresets) {\n\t\tthis.$$set({ annotatePresets });\n\t\tflush();\n\t}\n\n\tget annotateWillRenderShapePresetToolbar() {\n\t\treturn this.$$.ctx[21];\n\t}\n\n\tset annotateWillRenderShapePresetToolbar(annotateWillRenderShapePresetToolbar) {\n\t\tthis.$$set({ annotateWillRenderShapePresetToolbar });\n\t\tflush();\n\t}\n\n\tget markupEditorWillStartInteraction() {\n\t\treturn this.$$.ctx[22];\n\t}\n\n\tset markupEditorWillStartInteraction(markupEditorWillStartInteraction) {\n\t\tthis.$$set({ markupEditorWillStartInteraction });\n\t\tflush();\n\t}\n\n\tget enableViewTool() {\n\t\treturn this.$$.ctx[23];\n\t}\n\n\tset enableViewTool(enableViewTool) {\n\t\tthis.$$set({ enableViewTool });\n\t\tflush();\n\t}\n\n\tget enableSelectToolToAddShape() {\n\t\treturn this.$$.ctx[24];\n\t}\n\n\tset enableSelectToolToAddShape(enableSelectToolToAddShape) {\n\t\tthis.$$set({ enableSelectToolToAddShape });\n\t\tflush();\n\t}\n\n\tget enableTapToAddText() {\n\t\treturn this.$$.ctx[25];\n\t}\n\n\tset enableTapToAddText(enableTapToAddText) {\n\t\tthis.$$set({ enableTapToAddText });\n\t\tflush();\n\t}\n\n\tget enableAutoSelectMoveTool() {\n\t\treturn this.$$.ctx[26];\n\t}\n\n\tset enableAutoSelectMoveTool(enableAutoSelectMoveTool) {\n\t\tthis.$$set({ enableAutoSelectMoveTool });\n\t\tflush();\n\t}\n\n\tget enableMoveTool() {\n\t\treturn this.$$.ctx[27];\n\t}\n\n\tset enableMoveTool(enableMoveTool) {\n\t\tthis.$$set({ enableMoveTool });\n\t\tflush();\n\t}\n\n\tget willRenderShapeControls() {\n\t\treturn this.$$.ctx[28];\n\t}\n\n\tset willRenderShapeControls(willRenderShapeControls) {\n\t\tthis.$$set({ willRenderShapeControls });\n\t\tflush();\n\t}\n\n\tget willRenderShapeTextControls() {\n\t\treturn this.$$.ctx[29];\n\t}\n\n\tset willRenderShapeTextControls(willRenderShapeTextControls) {\n\t\tthis.$$set({ willRenderShapeTextControls });\n\t\tflush();\n\t}\n\n\tget beforeAddShape() {\n\t\treturn this.$$.ctx[30];\n\t}\n\n\tset beforeAddShape(beforeAddShape) {\n\t\tthis.$$set({ beforeAddShape });\n\t\tflush();\n\t}\n\n\tget beforeRemoveShape() {\n\t\treturn this.$$.ctx[31];\n\t}\n\n\tset beforeRemoveShape(beforeRemoveShape) {\n\t\tthis.$$set({ beforeRemoveShape });\n\t\tflush();\n\t}\n\n\tget beforeDeselectShape() {\n\t\treturn this.$$.ctx[32];\n\t}\n\n\tset beforeDeselectShape(beforeDeselectShape) {\n\t\tthis.$$set({ beforeDeselectShape });\n\t\tflush();\n\t}\n\n\tget beforeSelectShape() {\n\t\treturn this.$$.ctx[33];\n\t}\n\n\tset beforeSelectShape(beforeSelectShape) {\n\t\tthis.$$set({ beforeSelectShape });\n\t\tflush();\n\t}\n\n\tget beforeUpdateShape() {\n\t\treturn this.$$.ctx[34];\n\t}\n\n\tset beforeUpdateShape(beforeUpdateShape) {\n\t\tthis.$$set({ beforeUpdateShape });\n\t\tflush();\n\t}\n}\n\n// @ts-ignore\nvar _plugin_annotate = { util: ['annotate', Annotate] };\n\n/* src/core/ui/plugins/decorate/index.svelte generated by Svelte v3.52.0 */\n\nfunction create_fragment$8(ctx) {\n\tlet shapeutil;\n\tlet updating_toolActive;\n\tlet current;\n\n\tfunction shapeutil_toolActive_binding(value) {\n\t\t/*shapeutil_toolActive_binding*/ ctx[45](value);\n\t}\n\n\tlet shapeutil_props = {\n\t\tstores: /*stores*/ ctx[4],\n\t\tlocale: /*locale*/ ctx[5],\n\t\tisActive: /*isActive*/ ctx[1],\n\t\tisActiveFraction: /*isActiveFraction*/ ctx[2],\n\t\tisVisible: /*isVisible*/ ctx[3],\n\t\tmapScreenPointToImagePoint: /*mapScreenPointToImagePoint*/ ctx[36],\n\t\tmapImagePointToScreenPoint: /*mapImagePointToScreenPoint*/ ctx[35],\n\t\tutilKey: 'decorate',\n\t\tshapes: /*imageDecoration*/ ctx[38],\n\t\ttoolbar: /*decorateTools*/ ctx[14] || /*markupEditorToolbar*/ ctx[6],\n\t\ttoolShapes: /*decorateToolShapes*/ ctx[15] || /*markupEditorToolStyles*/ ctx[7],\n\t\ttoolRetainStyles: /*markupEditorToolRetainStyles*/ ctx[8],\n\t\tshapeControls: /*decorateShapeControls*/ ctx[16] || /*markupEditorShapeStyleControls*/ ctx[9],\n\t\tshapePresets: /*decoratePresets*/ ctx[20],\n\t\tenableSelectToolToAddShape: /*enableSelectToolToAddShape*/ ctx[22],\n\t\tenableTapToAddText: /*enableTapToAddText*/ ctx[23],\n\t\tenableViewTool: /*enableViewTool*/ ctx[24],\n\t\tenableMoveTool: /*enableMoveTool*/ ctx[25],\n\t\tenableAutoSelectMoveTool: /*enableAutoSelectMoveTool*/ ctx[26],\n\t\tenableToolShareStyles: /*markupEditorToolShareStyles*/ ctx[12],\n\t\tenablePresetSelectImage: /*decorateEnableSelectImagePreset*/ ctx[18],\n\t\tenablePresetDropImage: /*decorateEnableDropImagePreset*/ ctx[19],\n\t\tenableButtonFlipVertical: /*decorateEnableButtonFlipVertical*/ ctx[17],\n\t\tparentRect: /*imageCropRect*/ ctx[37],\n\t\ttoolSelectRadius: /*markupEditorToolSelectRadius*/ ctx[10],\n\t\ttextInputMode: /*markupEditorTextInputMode*/ ctx[11],\n\t\twillStartInteraction: /*markupEditorWillStartInteraction*/ ctx[34],\n\t\twillRenderPresetToolbar: /*decorateWillRenderShapePresetToolbar*/ ctx[21] || /*willRenderShapePresetToolbar*/ ctx[13],\n\t\thooks: {\n\t\t\twillRenderShapeControls: /*willRenderShapeControls*/ ctx[27],\n\t\t\twillRenderShapeTextControls: /*willRenderShapeTextControls*/ ctx[28],\n\t\t\tbeforeAddShape: /*beforeAddShape*/ ctx[29],\n\t\t\tbeforeRemoveShape: /*beforeRemoveShape*/ ctx[30],\n\t\t\tbeforeDeselectShape: /*beforeDeselectShape*/ ctx[31],\n\t\t\tbeforeSelectShape: /*beforeSelectShape*/ ctx[32],\n\t\t\tbeforeUpdateShape: /*beforeUpdateShape*/ ctx[33]\n\t\t}\n\t};\n\n\tif (/*decorateActiveTool*/ ctx[0] !== void 0) {\n\t\tshapeutil_props.toolActive = /*decorateActiveTool*/ ctx[0];\n\t}\n\n\tshapeutil = new ShapeUtil({ props: shapeutil_props });\n\tbinding_callbacks.push(() => bind(shapeutil, 'toolActive', shapeutil_toolActive_binding));\n\tshapeutil.$on(\"measure\", /*measure_handler*/ ctx[46]);\n\n\treturn {\n\t\tc() {\n\t\t\tcreate_component(shapeutil.$$.fragment);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tmount_component(shapeutil, target, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tconst shapeutil_changes = {};\n\t\t\tif (dirty[0] & /*stores*/ 16) shapeutil_changes.stores = /*stores*/ ctx[4];\n\t\t\tif (dirty[0] & /*locale*/ 32) shapeutil_changes.locale = /*locale*/ ctx[5];\n\t\t\tif (dirty[0] & /*isActive*/ 2) shapeutil_changes.isActive = /*isActive*/ ctx[1];\n\t\t\tif (dirty[0] & /*isActiveFraction*/ 4) shapeutil_changes.isActiveFraction = /*isActiveFraction*/ ctx[2];\n\t\t\tif (dirty[0] & /*isVisible*/ 8) shapeutil_changes.isVisible = /*isVisible*/ ctx[3];\n\t\t\tif (dirty[1] & /*mapScreenPointToImagePoint*/ 32) shapeutil_changes.mapScreenPointToImagePoint = /*mapScreenPointToImagePoint*/ ctx[36];\n\t\t\tif (dirty[1] & /*mapImagePointToScreenPoint*/ 16) shapeutil_changes.mapImagePointToScreenPoint = /*mapImagePointToScreenPoint*/ ctx[35];\n\t\t\tif (dirty[0] & /*decorateTools, markupEditorToolbar*/ 16448) shapeutil_changes.toolbar = /*decorateTools*/ ctx[14] || /*markupEditorToolbar*/ ctx[6];\n\t\t\tif (dirty[0] & /*decorateToolShapes, markupEditorToolStyles*/ 32896) shapeutil_changes.toolShapes = /*decorateToolShapes*/ ctx[15] || /*markupEditorToolStyles*/ ctx[7];\n\t\t\tif (dirty[0] & /*markupEditorToolRetainStyles*/ 256) shapeutil_changes.toolRetainStyles = /*markupEditorToolRetainStyles*/ ctx[8];\n\t\t\tif (dirty[0] & /*decorateShapeControls, markupEditorShapeStyleControls*/ 66048) shapeutil_changes.shapeControls = /*decorateShapeControls*/ ctx[16] || /*markupEditorShapeStyleControls*/ ctx[9];\n\t\t\tif (dirty[0] & /*decoratePresets*/ 1048576) shapeutil_changes.shapePresets = /*decoratePresets*/ ctx[20];\n\t\t\tif (dirty[0] & /*enableSelectToolToAddShape*/ 4194304) shapeutil_changes.enableSelectToolToAddShape = /*enableSelectToolToAddShape*/ ctx[22];\n\t\t\tif (dirty[0] & /*enableTapToAddText*/ 8388608) shapeutil_changes.enableTapToAddText = /*enableTapToAddText*/ ctx[23];\n\t\t\tif (dirty[0] & /*enableViewTool*/ 16777216) shapeutil_changes.enableViewTool = /*enableViewTool*/ ctx[24];\n\t\t\tif (dirty[0] & /*enableMoveTool*/ 33554432) shapeutil_changes.enableMoveTool = /*enableMoveTool*/ ctx[25];\n\t\t\tif (dirty[0] & /*enableAutoSelectMoveTool*/ 67108864) shapeutil_changes.enableAutoSelectMoveTool = /*enableAutoSelectMoveTool*/ ctx[26];\n\t\t\tif (dirty[0] & /*markupEditorToolShareStyles*/ 4096) shapeutil_changes.enableToolShareStyles = /*markupEditorToolShareStyles*/ ctx[12];\n\t\t\tif (dirty[0] & /*decorateEnableSelectImagePreset*/ 262144) shapeutil_changes.enablePresetSelectImage = /*decorateEnableSelectImagePreset*/ ctx[18];\n\t\t\tif (dirty[0] & /*decorateEnableDropImagePreset*/ 524288) shapeutil_changes.enablePresetDropImage = /*decorateEnableDropImagePreset*/ ctx[19];\n\t\t\tif (dirty[0] & /*decorateEnableButtonFlipVertical*/ 131072) shapeutil_changes.enableButtonFlipVertical = /*decorateEnableButtonFlipVertical*/ ctx[17];\n\t\t\tif (dirty[0] & /*markupEditorToolSelectRadius*/ 1024) shapeutil_changes.toolSelectRadius = /*markupEditorToolSelectRadius*/ ctx[10];\n\t\t\tif (dirty[0] & /*markupEditorTextInputMode*/ 2048) shapeutil_changes.textInputMode = /*markupEditorTextInputMode*/ ctx[11];\n\t\t\tif (dirty[1] & /*markupEditorWillStartInteraction*/ 8) shapeutil_changes.willStartInteraction = /*markupEditorWillStartInteraction*/ ctx[34];\n\t\t\tif (dirty[0] & /*decorateWillRenderShapePresetToolbar, willRenderShapePresetToolbar*/ 2105344) shapeutil_changes.willRenderPresetToolbar = /*decorateWillRenderShapePresetToolbar*/ ctx[21] || /*willRenderShapePresetToolbar*/ ctx[13];\n\n\t\t\tif (dirty[0] & /*willRenderShapeControls, willRenderShapeTextControls, beforeAddShape, beforeRemoveShape*/ 2013265920 | dirty[1] & /*beforeDeselectShape, beforeSelectShape, beforeUpdateShape*/ 7) shapeutil_changes.hooks = {\n\t\t\t\twillRenderShapeControls: /*willRenderShapeControls*/ ctx[27],\n\t\t\t\twillRenderShapeTextControls: /*willRenderShapeTextControls*/ ctx[28],\n\t\t\t\tbeforeAddShape: /*beforeAddShape*/ ctx[29],\n\t\t\t\tbeforeRemoveShape: /*beforeRemoveShape*/ ctx[30],\n\t\t\t\tbeforeDeselectShape: /*beforeDeselectShape*/ ctx[31],\n\t\t\t\tbeforeSelectShape: /*beforeSelectShape*/ ctx[32],\n\t\t\t\tbeforeUpdateShape: /*beforeUpdateShape*/ ctx[33]\n\t\t\t};\n\n\t\t\tif (!updating_toolActive && dirty[0] & /*decorateActiveTool*/ 1) {\n\t\t\t\tupdating_toolActive = true;\n\t\t\t\tshapeutil_changes.toolActive = /*decorateActiveTool*/ ctx[0];\n\t\t\t\tadd_flush_callback(() => updating_toolActive = false);\n\t\t\t}\n\n\t\t\tshapeutil.$set(shapeutil_changes);\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(shapeutil.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(shapeutil.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tdestroy_component(shapeutil, detaching);\n\t\t}\n\t};\n}\n\nfunction instance$8($$self, $$props, $$invalidate) {\n\tlet presentationZoom;\n\tlet mapScreenPointToImagePoint;\n\tlet mapImagePointToScreenPoint;\n\tlet $imageSelectionRectPresentation;\n\tlet $imageTransformsInterpolated;\n\tconst name = 'decorate';\n\tlet { isActive } = $$props;\n\tlet { isActiveFraction } = $$props;\n\tlet { isVisible } = $$props;\n\tlet { stores } = $$props;\n\tlet { locale = {} } = $$props;\n\tlet { markupEditorToolbar = undefined } = $$props;\n\tlet { markupEditorToolStyles = undefined } = $$props;\n\tlet { markupEditorToolRetainStyles = undefined } = $$props;\n\tlet { markupEditorShapeStyleControls = undefined } = $$props;\n\tlet { markupEditorToolSelectRadius = undefined } = $$props;\n\tlet { markupEditorTextInputMode = undefined } = $$props;\n\tlet { markupEditorToolShareStyles = undefined } = $$props;\n\tlet { willRenderShapePresetToolbar = undefined } = $$props;\n\tlet { decorateTools = undefined } = $$props;\n\tlet { decorateToolShapes = undefined } = $$props;\n\tlet { decorateShapeControls = undefined } = $$props;\n\tlet { decorateActiveTool = undefined } = $$props;\n\tlet { decorateEnableButtonFlipVertical = false } = $$props;\n\tlet { decorateEnableSelectImagePreset = false } = $$props;\n\tlet { decorateEnableDropImagePreset = true } = $$props;\n\tlet { decoratePresets = [] } = $$props;\n\tlet { decorateWillRenderShapePresetToolbar = undefined } = $$props;\n\tlet { enableSelectToolToAddShape = undefined } = $$props;\n\tlet { enableTapToAddText = undefined } = $$props;\n\tlet { enableViewTool = undefined } = $$props;\n\tlet { enableMoveTool = undefined } = $$props;\n\tlet { enableAutoSelectMoveTool = undefined } = $$props;\n\tlet { willRenderShapeControls = undefined } = $$props;\n\tlet { willRenderShapeTextControls = undefined } = $$props;\n\tlet { beforeAddShape = undefined } = $$props;\n\tlet { beforeRemoveShape = undefined } = $$props;\n\tlet { beforeDeselectShape = undefined } = $$props;\n\tlet { beforeSelectShape = undefined } = $$props;\n\tlet { beforeUpdateShape = undefined } = $$props;\n\tlet { markupEditorWillStartInteraction = undefined } = $$props;\n\tconst { imageCropRect, imageDecoration, imageSelectionRectPresentation, imageTransformsInterpolated } = stores;\n\tcomponent_subscribe($$self, imageSelectionRectPresentation, value => $$invalidate(43, $imageSelectionRectPresentation = value));\n\tcomponent_subscribe($$self, imageTransformsInterpolated, value => $$invalidate(44, $imageTransformsInterpolated = value));\n\n\tfunction shapeutil_toolActive_binding(value) {\n\t\tdecorateActiveTool = value;\n\t\t$$invalidate(0, decorateActiveTool);\n\t}\n\n\tfunction measure_handler(event) {\n\t\tbubble.call(this, $$self, event);\n\t}\n\n\t$$self.$$set = $$props => {\n\t\tif ('isActive' in $$props) $$invalidate(1, isActive = $$props.isActive);\n\t\tif ('isActiveFraction' in $$props) $$invalidate(2, isActiveFraction = $$props.isActiveFraction);\n\t\tif ('isVisible' in $$props) $$invalidate(3, isVisible = $$props.isVisible);\n\t\tif ('stores' in $$props) $$invalidate(4, stores = $$props.stores);\n\t\tif ('locale' in $$props) $$invalidate(5, locale = $$props.locale);\n\t\tif ('markupEditorToolbar' in $$props) $$invalidate(6, markupEditorToolbar = $$props.markupEditorToolbar);\n\t\tif ('markupEditorToolStyles' in $$props) $$invalidate(7, markupEditorToolStyles = $$props.markupEditorToolStyles);\n\t\tif ('markupEditorToolRetainStyles' in $$props) $$invalidate(8, markupEditorToolRetainStyles = $$props.markupEditorToolRetainStyles);\n\t\tif ('markupEditorShapeStyleControls' in $$props) $$invalidate(9, markupEditorShapeStyleControls = $$props.markupEditorShapeStyleControls);\n\t\tif ('markupEditorToolSelectRadius' in $$props) $$invalidate(10, markupEditorToolSelectRadius = $$props.markupEditorToolSelectRadius);\n\t\tif ('markupEditorTextInputMode' in $$props) $$invalidate(11, markupEditorTextInputMode = $$props.markupEditorTextInputMode);\n\t\tif ('markupEditorToolShareStyles' in $$props) $$invalidate(12, markupEditorToolShareStyles = $$props.markupEditorToolShareStyles);\n\t\tif ('willRenderShapePresetToolbar' in $$props) $$invalidate(13, willRenderShapePresetToolbar = $$props.willRenderShapePresetToolbar);\n\t\tif ('decorateTools' in $$props) $$invalidate(14, decorateTools = $$props.decorateTools);\n\t\tif ('decorateToolShapes' in $$props) $$invalidate(15, decorateToolShapes = $$props.decorateToolShapes);\n\t\tif ('decorateShapeControls' in $$props) $$invalidate(16, decorateShapeControls = $$props.decorateShapeControls);\n\t\tif ('decorateActiveTool' in $$props) $$invalidate(0, decorateActiveTool = $$props.decorateActiveTool);\n\t\tif ('decorateEnableButtonFlipVertical' in $$props) $$invalidate(17, decorateEnableButtonFlipVertical = $$props.decorateEnableButtonFlipVertical);\n\t\tif ('decorateEnableSelectImagePreset' in $$props) $$invalidate(18, decorateEnableSelectImagePreset = $$props.decorateEnableSelectImagePreset);\n\t\tif ('decorateEnableDropImagePreset' in $$props) $$invalidate(19, decorateEnableDropImagePreset = $$props.decorateEnableDropImagePreset);\n\t\tif ('decoratePresets' in $$props) $$invalidate(20, decoratePresets = $$props.decoratePresets);\n\t\tif ('decorateWillRenderShapePresetToolbar' in $$props) $$invalidate(21, decorateWillRenderShapePresetToolbar = $$props.decorateWillRenderShapePresetToolbar);\n\t\tif ('enableSelectToolToAddShape' in $$props) $$invalidate(22, enableSelectToolToAddShape = $$props.enableSelectToolToAddShape);\n\t\tif ('enableTapToAddText' in $$props) $$invalidate(23, enableTapToAddText = $$props.enableTapToAddText);\n\t\tif ('enableViewTool' in $$props) $$invalidate(24, enableViewTool = $$props.enableViewTool);\n\t\tif ('enableMoveTool' in $$props) $$invalidate(25, enableMoveTool = $$props.enableMoveTool);\n\t\tif ('enableAutoSelectMoveTool' in $$props) $$invalidate(26, enableAutoSelectMoveTool = $$props.enableAutoSelectMoveTool);\n\t\tif ('willRenderShapeControls' in $$props) $$invalidate(27, willRenderShapeControls = $$props.willRenderShapeControls);\n\t\tif ('willRenderShapeTextControls' in $$props) $$invalidate(28, willRenderShapeTextControls = $$props.willRenderShapeTextControls);\n\t\tif ('beforeAddShape' in $$props) $$invalidate(29, beforeAddShape = $$props.beforeAddShape);\n\t\tif ('beforeRemoveShape' in $$props) $$invalidate(30, beforeRemoveShape = $$props.beforeRemoveShape);\n\t\tif ('beforeDeselectShape' in $$props) $$invalidate(31, beforeDeselectShape = $$props.beforeDeselectShape);\n\t\tif ('beforeSelectShape' in $$props) $$invalidate(32, beforeSelectShape = $$props.beforeSelectShape);\n\t\tif ('beforeUpdateShape' in $$props) $$invalidate(33, beforeUpdateShape = $$props.beforeUpdateShape);\n\t\tif ('markupEditorWillStartInteraction' in $$props) $$invalidate(34, markupEditorWillStartInteraction = $$props.markupEditorWillStartInteraction);\n\t};\n\n\t$$self.$$.update = () => {\n\t\tif ($$self.$$.dirty[1] & /*$imageTransformsInterpolated*/ 8192) {\n\t\t\t$$invalidate(42, presentationZoom = $imageTransformsInterpolated\n\t\t\t? $imageTransformsInterpolated.scale\n\t\t\t: 1);\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*$imageSelectionRectPresentation, presentationZoom*/ 6144) {\n\t\t\t$$invalidate(36, mapScreenPointToImagePoint = screenPoint => {\n\t\t\t\tconst mappedPoint = vectorClone(screenPoint);\n\t\t\t\tmappedPoint.x -= $imageSelectionRectPresentation.x;\n\t\t\t\tmappedPoint.y -= $imageSelectionRectPresentation.y;\n\t\t\t\tmappedPoint.x /= presentationZoom;\n\t\t\t\tmappedPoint.y /= presentationZoom;\n\t\t\t\treturn mappedPoint;\n\t\t\t});\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*presentationZoom, $imageSelectionRectPresentation*/ 6144) {\n\t\t\t$$invalidate(35, mapImagePointToScreenPoint = imagePoint => {\n\t\t\t\tconst mappedPoint = vectorClone(imagePoint);\n\t\t\t\tmappedPoint.x *= presentationZoom;\n\t\t\t\tmappedPoint.y *= presentationZoom;\n\t\t\t\tmappedPoint.x += $imageSelectionRectPresentation.x;\n\t\t\t\tmappedPoint.y += $imageSelectionRectPresentation.y;\n\t\t\t\treturn mappedPoint;\n\t\t\t});\n\t\t}\n\t};\n\n\treturn [\n\t\tdecorateActiveTool,\n\t\tisActive,\n\t\tisActiveFraction,\n\t\tisVisible,\n\t\tstores,\n\t\tlocale,\n\t\tmarkupEditorToolbar,\n\t\tmarkupEditorToolStyles,\n\t\tmarkupEditorToolRetainStyles,\n\t\tmarkupEditorShapeStyleControls,\n\t\tmarkupEditorToolSelectRadius,\n\t\tmarkupEditorTextInputMode,\n\t\tmarkupEditorToolShareStyles,\n\t\twillRenderShapePresetToolbar,\n\t\tdecorateTools,\n\t\tdecorateToolShapes,\n\t\tdecorateShapeControls,\n\t\tdecorateEnableButtonFlipVertical,\n\t\tdecorateEnableSelectImagePreset,\n\t\tdecorateEnableDropImagePreset,\n\t\tdecoratePresets,\n\t\tdecorateWillRenderShapePresetToolbar,\n\t\tenableSelectToolToAddShape,\n\t\tenableTapToAddText,\n\t\tenableViewTool,\n\t\tenableMoveTool,\n\t\tenableAutoSelectMoveTool,\n\t\twillRenderShapeControls,\n\t\twillRenderShapeTextControls,\n\t\tbeforeAddShape,\n\t\tbeforeRemoveShape,\n\t\tbeforeDeselectShape,\n\t\tbeforeSelectShape,\n\t\tbeforeUpdateShape,\n\t\tmarkupEditorWillStartInteraction,\n\t\tmapImagePointToScreenPoint,\n\t\tmapScreenPointToImagePoint,\n\t\timageCropRect,\n\t\timageDecoration,\n\t\timageSelectionRectPresentation,\n\t\timageTransformsInterpolated,\n\t\tname,\n\t\tpresentationZoom,\n\t\t$imageSelectionRectPresentation,\n\t\t$imageTransformsInterpolated,\n\t\tshapeutil_toolActive_binding,\n\t\tmeasure_handler\n\t];\n}\n\nclass Decorate extends SvelteComponent {\n\tconstructor(options) {\n\t\tsuper();\n\n\t\tinit(\n\t\t\tthis,\n\t\t\toptions,\n\t\t\tinstance$8,\n\t\t\tcreate_fragment$8,\n\t\t\tsafe_not_equal,\n\t\t\t{\n\t\t\t\tname: 41,\n\t\t\t\tisActive: 1,\n\t\t\t\tisActiveFraction: 2,\n\t\t\t\tisVisible: 3,\n\t\t\t\tstores: 4,\n\t\t\t\tlocale: 5,\n\t\t\t\tmarkupEditorToolbar: 6,\n\t\t\t\tmarkupEditorToolStyles: 7,\n\t\t\t\tmarkupEditorToolRetainStyles: 8,\n\t\t\t\tmarkupEditorShapeStyleControls: 9,\n\t\t\t\tmarkupEditorToolSelectRadius: 10,\n\t\t\t\tmarkupEditorTextInputMode: 11,\n\t\t\t\tmarkupEditorToolShareStyles: 12,\n\t\t\t\twillRenderShapePresetToolbar: 13,\n\t\t\t\tdecorateTools: 14,\n\t\t\t\tdecorateToolShapes: 15,\n\t\t\t\tdecorateShapeControls: 16,\n\t\t\t\tdecorateActiveTool: 0,\n\t\t\t\tdecorateEnableButtonFlipVertical: 17,\n\t\t\t\tdecorateEnableSelectImagePreset: 18,\n\t\t\t\tdecorateEnableDropImagePreset: 19,\n\t\t\t\tdecoratePresets: 20,\n\t\t\t\tdecorateWillRenderShapePresetToolbar: 21,\n\t\t\t\tenableSelectToolToAddShape: 22,\n\t\t\t\tenableTapToAddText: 23,\n\t\t\t\tenableViewTool: 24,\n\t\t\t\tenableMoveTool: 25,\n\t\t\t\tenableAutoSelectMoveTool: 26,\n\t\t\t\twillRenderShapeControls: 27,\n\t\t\t\twillRenderShapeTextControls: 28,\n\t\t\t\tbeforeAddShape: 29,\n\t\t\t\tbeforeRemoveShape: 30,\n\t\t\t\tbeforeDeselectShape: 31,\n\t\t\t\tbeforeSelectShape: 32,\n\t\t\t\tbeforeUpdateShape: 33,\n\t\t\t\tmarkupEditorWillStartInteraction: 34\n\t\t\t},\n\t\t\tnull,\n\t\t\t[-1, -1]\n\t\t);\n\t}\n\n\tget name() {\n\t\treturn this.$$.ctx[41];\n\t}\n\n\tget isActive() {\n\t\treturn this.$$.ctx[1];\n\t}\n\n\tset isActive(isActive) {\n\t\tthis.$$set({ isActive });\n\t\tflush();\n\t}\n\n\tget isActiveFraction() {\n\t\treturn this.$$.ctx[2];\n\t}\n\n\tset isActiveFraction(isActiveFraction) {\n\t\tthis.$$set({ isActiveFraction });\n\t\tflush();\n\t}\n\n\tget isVisible() {\n\t\treturn this.$$.ctx[3];\n\t}\n\n\tset isVisible(isVisible) {\n\t\tthis.$$set({ isVisible });\n\t\tflush();\n\t}\n\n\tget stores() {\n\t\treturn this.$$.ctx[4];\n\t}\n\n\tset stores(stores) {\n\t\tthis.$$set({ stores });\n\t\tflush();\n\t}\n\n\tget locale() {\n\t\treturn this.$$.ctx[5];\n\t}\n\n\tset locale(locale) {\n\t\tthis.$$set({ locale });\n\t\tflush();\n\t}\n\n\tget markupEditorToolbar() {\n\t\treturn this.$$.ctx[6];\n\t}\n\n\tset markupEditorToolbar(markupEditorToolbar) {\n\t\tthis.$$set({ markupEditorToolbar });\n\t\tflush();\n\t}\n\n\tget markupEditorToolStyles() {\n\t\treturn this.$$.ctx[7];\n\t}\n\n\tset markupEditorToolStyles(markupEditorToolStyles) {\n\t\tthis.$$set({ markupEditorToolStyles });\n\t\tflush();\n\t}\n\n\tget markupEditorToolRetainStyles() {\n\t\treturn this.$$.ctx[8];\n\t}\n\n\tset markupEditorToolRetainStyles(markupEditorToolRetainStyles) {\n\t\tthis.$$set({ markupEditorToolRetainStyles });\n\t\tflush();\n\t}\n\n\tget markupEditorShapeStyleControls() {\n\t\treturn this.$$.ctx[9];\n\t}\n\n\tset markupEditorShapeStyleControls(markupEditorShapeStyleControls) {\n\t\tthis.$$set({ markupEditorShapeStyleControls });\n\t\tflush();\n\t}\n\n\tget markupEditorToolSelectRadius() {\n\t\treturn this.$$.ctx[10];\n\t}\n\n\tset markupEditorToolSelectRadius(markupEditorToolSelectRadius) {\n\t\tthis.$$set({ markupEditorToolSelectRadius });\n\t\tflush();\n\t}\n\n\tget markupEditorTextInputMode() {\n\t\treturn this.$$.ctx[11];\n\t}\n\n\tset markupEditorTextInputMode(markupEditorTextInputMode) {\n\t\tthis.$$set({ markupEditorTextInputMode });\n\t\tflush();\n\t}\n\n\tget markupEditorToolShareStyles() {\n\t\treturn this.$$.ctx[12];\n\t}\n\n\tset markupEditorToolShareStyles(markupEditorToolShareStyles) {\n\t\tthis.$$set({ markupEditorToolShareStyles });\n\t\tflush();\n\t}\n\n\tget willRenderShapePresetToolbar() {\n\t\treturn this.$$.ctx[13];\n\t}\n\n\tset willRenderShapePresetToolbar(willRenderShapePresetToolbar) {\n\t\tthis.$$set({ willRenderShapePresetToolbar });\n\t\tflush();\n\t}\n\n\tget decorateTools() {\n\t\treturn this.$$.ctx[14];\n\t}\n\n\tset decorateTools(decorateTools) {\n\t\tthis.$$set({ decorateTools });\n\t\tflush();\n\t}\n\n\tget decorateToolShapes() {\n\t\treturn this.$$.ctx[15];\n\t}\n\n\tset decorateToolShapes(decorateToolShapes) {\n\t\tthis.$$set({ decorateToolShapes });\n\t\tflush();\n\t}\n\n\tget decorateShapeControls() {\n\t\treturn this.$$.ctx[16];\n\t}\n\n\tset decorateShapeControls(decorateShapeControls) {\n\t\tthis.$$set({ decorateShapeControls });\n\t\tflush();\n\t}\n\n\tget decorateActiveTool() {\n\t\treturn this.$$.ctx[0];\n\t}\n\n\tset decorateActiveTool(decorateActiveTool) {\n\t\tthis.$$set({ decorateActiveTool });\n\t\tflush();\n\t}\n\n\tget decorateEnableButtonFlipVertical() {\n\t\treturn this.$$.ctx[17];\n\t}\n\n\tset decorateEnableButtonFlipVertical(decorateEnableButtonFlipVertical) {\n\t\tthis.$$set({ decorateEnableButtonFlipVertical });\n\t\tflush();\n\t}\n\n\tget decorateEnableSelectImagePreset() {\n\t\treturn this.$$.ctx[18];\n\t}\n\n\tset decorateEnableSelectImagePreset(decorateEnableSelectImagePreset) {\n\t\tthis.$$set({ decorateEnableSelectImagePreset });\n\t\tflush();\n\t}\n\n\tget decorateEnableDropImagePreset() {\n\t\treturn this.$$.ctx[19];\n\t}\n\n\tset decorateEnableDropImagePreset(decorateEnableDropImagePreset) {\n\t\tthis.$$set({ decorateEnableDropImagePreset });\n\t\tflush();\n\t}\n\n\tget decoratePresets() {\n\t\treturn this.$$.ctx[20];\n\t}\n\n\tset decoratePresets(decoratePresets) {\n\t\tthis.$$set({ decoratePresets });\n\t\tflush();\n\t}\n\n\tget decorateWillRenderShapePresetToolbar() {\n\t\treturn this.$$.ctx[21];\n\t}\n\n\tset decorateWillRenderShapePresetToolbar(decorateWillRenderShapePresetToolbar) {\n\t\tthis.$$set({ decorateWillRenderShapePresetToolbar });\n\t\tflush();\n\t}\n\n\tget enableSelectToolToAddShape() {\n\t\treturn this.$$.ctx[22];\n\t}\n\n\tset enableSelectToolToAddShape(enableSelectToolToAddShape) {\n\t\tthis.$$set({ enableSelectToolToAddShape });\n\t\tflush();\n\t}\n\n\tget enableTapToAddText() {\n\t\treturn this.$$.ctx[23];\n\t}\n\n\tset enableTapToAddText(enableTapToAddText) {\n\t\tthis.$$set({ enableTapToAddText });\n\t\tflush();\n\t}\n\n\tget enableViewTool() {\n\t\treturn this.$$.ctx[24];\n\t}\n\n\tset enableViewTool(enableViewTool) {\n\t\tthis.$$set({ enableViewTool });\n\t\tflush();\n\t}\n\n\tget enableMoveTool() {\n\t\treturn this.$$.ctx[25];\n\t}\n\n\tset enableMoveTool(enableMoveTool) {\n\t\tthis.$$set({ enableMoveTool });\n\t\tflush();\n\t}\n\n\tget enableAutoSelectMoveTool() {\n\t\treturn this.$$.ctx[26];\n\t}\n\n\tset enableAutoSelectMoveTool(enableAutoSelectMoveTool) {\n\t\tthis.$$set({ enableAutoSelectMoveTool });\n\t\tflush();\n\t}\n\n\tget willRenderShapeControls() {\n\t\treturn this.$$.ctx[27];\n\t}\n\n\tset willRenderShapeControls(willRenderShapeControls) {\n\t\tthis.$$set({ willRenderShapeControls });\n\t\tflush();\n\t}\n\n\tget willRenderShapeTextControls() {\n\t\treturn this.$$.ctx[28];\n\t}\n\n\tset willRenderShapeTextControls(willRenderShapeTextControls) {\n\t\tthis.$$set({ willRenderShapeTextControls });\n\t\tflush();\n\t}\n\n\tget beforeAddShape() {\n\t\treturn this.$$.ctx[29];\n\t}\n\n\tset beforeAddShape(beforeAddShape) {\n\t\tthis.$$set({ beforeAddShape });\n\t\tflush();\n\t}\n\n\tget beforeRemoveShape() {\n\t\treturn this.$$.ctx[30];\n\t}\n\n\tset beforeRemoveShape(beforeRemoveShape) {\n\t\tthis.$$set({ beforeRemoveShape });\n\t\tflush();\n\t}\n\n\tget beforeDeselectShape() {\n\t\treturn this.$$.ctx[31];\n\t}\n\n\tset beforeDeselectShape(beforeDeselectShape) {\n\t\tthis.$$set({ beforeDeselectShape });\n\t\tflush();\n\t}\n\n\tget beforeSelectShape() {\n\t\treturn this.$$.ctx[32];\n\t}\n\n\tset beforeSelectShape(beforeSelectShape) {\n\t\tthis.$$set({ beforeSelectShape });\n\t\tflush();\n\t}\n\n\tget beforeUpdateShape() {\n\t\treturn this.$$.ctx[33];\n\t}\n\n\tset beforeUpdateShape(beforeUpdateShape) {\n\t\tthis.$$set({ beforeUpdateShape });\n\t\tflush();\n\t}\n\n\tget markupEditorWillStartInteraction() {\n\t\treturn this.$$.ctx[34];\n\t}\n\n\tset markupEditorWillStartInteraction(markupEditorWillStartInteraction) {\n\t\tthis.$$set({ markupEditorWillStartInteraction });\n\t\tflush();\n\t}\n}\n\n// @ts-ignore\nvar _plugin_decorate = { util: ['decorate', Decorate] };\n\n/* src/core/ui/plugins/sticker/index.svelte generated by Svelte v3.52.0 */\n\nfunction create_fragment$7(ctx) {\n\tlet shapeutil;\n\tlet current;\n\n\tshapeutil = new ShapeUtil({\n\t\t\tprops: {\n\t\t\t\tstores: /*stores*/ ctx[3],\n\t\t\t\tlocale: /*locale*/ ctx[4],\n\t\t\t\tisActive: /*isActive*/ ctx[0],\n\t\t\t\tisActiveFraction: /*isActiveFraction*/ ctx[1],\n\t\t\t\tisVisible: /*isVisible*/ ctx[2],\n\t\t\t\tmapScreenPointToImagePoint: /*mapScreenPointToImagePoint*/ ctx[25],\n\t\t\t\tmapImagePointToScreenPoint: /*mapImagePointToScreenPoint*/ ctx[24],\n\t\t\t\tutilKey: 'sticker',\n\t\t\t\tshapePresets: /*stickers*/ ctx[5],\n\t\t\t\tshapes: /*stickerStickToImage*/ ctx[6]\n\t\t\t\t? /*imageAnnotation*/ ctx[31]\n\t\t\t\t: /*imageDecoration*/ ctx[32],\n\t\t\t\ttoolActive: 'preset',\n\t\t\t\timageFlipX: /*stickerStickToImage*/ ctx[6]\n\t\t\t\t? /*$imageFlipX*/ ctx[23]\n\t\t\t\t: false,\n\t\t\t\timageFlipY: /*stickerStickToImage*/ ctx[6]\n\t\t\t\t? /*$imageFlipY*/ ctx[22]\n\t\t\t\t: false,\n\t\t\t\timageRotation: /*stickerStickToImage*/ ctx[6]\n\t\t\t\t? /*$imageRotation*/ ctx[27]\n\t\t\t\t: 0,\n\t\t\t\tparentRect: /*stickerStickToImage*/ ctx[6]\n\t\t\t\t? /*imageSize*/ ctx[33]\n\t\t\t\t: /*imageCropRect*/ ctx[29],\n\t\t\t\tenablePresetDropImage: /*stickerEnableDropImagePreset*/ ctx[7],\n\t\t\t\tenablePresetSelectImage: /*enablePresetSelectImage*/ ctx[26],\n\t\t\t\tenableButtonFlipVertical: /*stickersEnableButtonFlipVertical*/ ctx[10] || /*stickerEnableButtonFlipVertical*/ ctx[8],\n\t\t\t\ttoolSelectRadius: /*markupEditorToolSelectRadius*/ ctx[14],\n\t\t\t\twillStartInteraction: /*markupEditorWillStartInteraction*/ ctx[21],\n\t\t\t\twillRenderPresetToolbar: /*stickersWillRenderShapePresetToolbar*/ ctx[11] || /*stickerWillRenderShapePresetToolbar*/ ctx[9] || /*willRenderShapePresetToolbar*/ ctx[15],\n\t\t\t\thooks: {\n\t\t\t\t\twillRenderShapeControls: /*willRenderShapeControls*/ ctx[12],\n\t\t\t\t\twillRenderShapeTextControls: /*willRenderShapeTextControls*/ ctx[13],\n\t\t\t\t\tbeforeAddShape: /*beforeAddShape*/ ctx[16],\n\t\t\t\t\tbeforeRemoveShape: /*beforeRemoveShape*/ ctx[17],\n\t\t\t\t\tbeforeDeselectShape: /*beforeDeselectShape*/ ctx[18],\n\t\t\t\t\tbeforeSelectShape: /*beforeSelectShape*/ ctx[19],\n\t\t\t\t\tbeforeUpdateShape: /*beforeUpdateShape*/ ctx[20]\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\n\tshapeutil.$on(\"measure\", /*measure_handler*/ ctx[48]);\n\n\treturn {\n\t\tc() {\n\t\t\tcreate_component(shapeutil.$$.fragment);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tmount_component(shapeutil, target, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tconst shapeutil_changes = {};\n\t\t\tif (dirty[0] & /*stores*/ 8) shapeutil_changes.stores = /*stores*/ ctx[3];\n\t\t\tif (dirty[0] & /*locale*/ 16) shapeutil_changes.locale = /*locale*/ ctx[4];\n\t\t\tif (dirty[0] & /*isActive*/ 1) shapeutil_changes.isActive = /*isActive*/ ctx[0];\n\t\t\tif (dirty[0] & /*isActiveFraction*/ 2) shapeutil_changes.isActiveFraction = /*isActiveFraction*/ ctx[1];\n\t\t\tif (dirty[0] & /*isVisible*/ 4) shapeutil_changes.isVisible = /*isVisible*/ ctx[2];\n\t\t\tif (dirty[0] & /*mapScreenPointToImagePoint*/ 33554432) shapeutil_changes.mapScreenPointToImagePoint = /*mapScreenPointToImagePoint*/ ctx[25];\n\t\t\tif (dirty[0] & /*mapImagePointToScreenPoint*/ 16777216) shapeutil_changes.mapImagePointToScreenPoint = /*mapImagePointToScreenPoint*/ ctx[24];\n\t\t\tif (dirty[0] & /*stickers*/ 32) shapeutil_changes.shapePresets = /*stickers*/ ctx[5];\n\n\t\t\tif (dirty[0] & /*stickerStickToImage*/ 64) shapeutil_changes.shapes = /*stickerStickToImage*/ ctx[6]\n\t\t\t? /*imageAnnotation*/ ctx[31]\n\t\t\t: /*imageDecoration*/ ctx[32];\n\n\t\t\tif (dirty[0] & /*stickerStickToImage, $imageFlipX*/ 8388672) shapeutil_changes.imageFlipX = /*stickerStickToImage*/ ctx[6]\n\t\t\t? /*$imageFlipX*/ ctx[23]\n\t\t\t: false;\n\n\t\t\tif (dirty[0] & /*stickerStickToImage, $imageFlipY*/ 4194368) shapeutil_changes.imageFlipY = /*stickerStickToImage*/ ctx[6]\n\t\t\t? /*$imageFlipY*/ ctx[22]\n\t\t\t: false;\n\n\t\t\tif (dirty[0] & /*stickerStickToImage, $imageRotation*/ 134217792) shapeutil_changes.imageRotation = /*stickerStickToImage*/ ctx[6]\n\t\t\t? /*$imageRotation*/ ctx[27]\n\t\t\t: 0;\n\n\t\t\tif (dirty[0] & /*stickerStickToImage*/ 64) shapeutil_changes.parentRect = /*stickerStickToImage*/ ctx[6]\n\t\t\t? /*imageSize*/ ctx[33]\n\t\t\t: /*imageCropRect*/ ctx[29];\n\n\t\t\tif (dirty[0] & /*stickerEnableDropImagePreset*/ 128) shapeutil_changes.enablePresetDropImage = /*stickerEnableDropImagePreset*/ ctx[7];\n\t\t\tif (dirty[0] & /*enablePresetSelectImage*/ 67108864) shapeutil_changes.enablePresetSelectImage = /*enablePresetSelectImage*/ ctx[26];\n\t\t\tif (dirty[0] & /*stickersEnableButtonFlipVertical, stickerEnableButtonFlipVertical*/ 1280) shapeutil_changes.enableButtonFlipVertical = /*stickersEnableButtonFlipVertical*/ ctx[10] || /*stickerEnableButtonFlipVertical*/ ctx[8];\n\t\t\tif (dirty[0] & /*markupEditorToolSelectRadius*/ 16384) shapeutil_changes.toolSelectRadius = /*markupEditorToolSelectRadius*/ ctx[14];\n\t\t\tif (dirty[0] & /*markupEditorWillStartInteraction*/ 2097152) shapeutil_changes.willStartInteraction = /*markupEditorWillStartInteraction*/ ctx[21];\n\t\t\tif (dirty[0] & /*stickersWillRenderShapePresetToolbar, stickerWillRenderShapePresetToolbar, willRenderShapePresetToolbar*/ 35328) shapeutil_changes.willRenderPresetToolbar = /*stickersWillRenderShapePresetToolbar*/ ctx[11] || /*stickerWillRenderShapePresetToolbar*/ ctx[9] || /*willRenderShapePresetToolbar*/ ctx[15];\n\n\t\t\tif (dirty[0] & /*willRenderShapeControls, willRenderShapeTextControls, beforeAddShape, beforeRemoveShape, beforeDeselectShape, beforeSelectShape, beforeUpdateShape*/ 2043904) shapeutil_changes.hooks = {\n\t\t\t\twillRenderShapeControls: /*willRenderShapeControls*/ ctx[12],\n\t\t\t\twillRenderShapeTextControls: /*willRenderShapeTextControls*/ ctx[13],\n\t\t\t\tbeforeAddShape: /*beforeAddShape*/ ctx[16],\n\t\t\t\tbeforeRemoveShape: /*beforeRemoveShape*/ ctx[17],\n\t\t\t\tbeforeDeselectShape: /*beforeDeselectShape*/ ctx[18],\n\t\t\t\tbeforeSelectShape: /*beforeSelectShape*/ ctx[19],\n\t\t\t\tbeforeUpdateShape: /*beforeUpdateShape*/ ctx[20]\n\t\t\t};\n\n\t\t\tshapeutil.$set(shapeutil_changes);\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(shapeutil.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(shapeutil.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tdestroy_component(shapeutil, detaching);\n\t\t}\n\t};\n}\n\nfunction instance$7($$self, $$props, $$invalidate) {\n\tlet presentationZoom;\n\tlet enablePresetSelectImage;\n\tlet mapScreenPointToImagePoint;\n\tlet mapImagePointToScreenPoint;\n\tlet $imageSelectionRectPresentation;\n\tlet $imageFlipY;\n\tlet $imageFlipX;\n\tlet $imageTransformsInterpolated;\n\tlet $imageTransforms;\n\tlet $imageSize;\n\tlet $rootRect;\n\tlet $imageRotation;\n\tconst name = 'sticker';\n\tlet { isActive } = $$props;\n\tlet { isActiveFraction } = $$props;\n\tlet { isVisible } = $$props;\n\tlet { stores } = $$props;\n\tlet { locale = {} } = $$props;\n\tlet { stickers = [] } = $$props;\n\tlet { stickerStickToImage = false } = $$props;\n\tlet { stickerEnableSelectImagePreset = true } = $$props;\n\tlet { stickerEnableDropImagePreset = true } = $$props;\n\tlet { stickerEnableButtonFlipVertical = false } = $$props;\n\tlet { stickerWillRenderShapePresetToolbar = undefined } = $$props;\n\tlet { stickerEnableSelectImage = true } = $$props;\n\tlet { stickersEnableButtonFlipVertical = false } = $$props;\n\tlet { stickersWillRenderShapePresetToolbar = undefined } = $$props;\n\tlet { willRenderShapeControls = undefined } = $$props;\n\tlet { willRenderShapeTextControls = undefined } = $$props;\n\tlet { markupEditorToolSelectRadius = undefined } = $$props;\n\tlet { willRenderShapePresetToolbar = undefined } = $$props;\n\tlet { beforeAddShape = undefined } = $$props;\n\tlet { beforeRemoveShape = undefined } = $$props;\n\tlet { beforeDeselectShape = undefined } = $$props;\n\tlet { beforeSelectShape = undefined } = $$props;\n\tlet { beforeUpdateShape = undefined } = $$props;\n\tlet { markupEditorWillStartInteraction = undefined } = $$props;\n\n\t// connect filter choice to stores\n\tconst { rootRect, imageCropRect, imageSelectionRectPresentation, imageAnnotation, imageDecoration, imageSize, imageTransforms, imageTransformsInterpolated, imageRotation, imageFlipX, imageFlipY } = stores;\n\n\tcomponent_subscribe($$self, rootRect, value => $$invalidate(47, $rootRect = value));\n\tcomponent_subscribe($$self, imageSelectionRectPresentation, value => $$invalidate(43, $imageSelectionRectPresentation = value));\n\tcomponent_subscribe($$self, imageSize, value => $$invalidate(46, $imageSize = value));\n\tcomponent_subscribe($$self, imageTransforms, value => $$invalidate(45, $imageTransforms = value));\n\tcomponent_subscribe($$self, imageTransformsInterpolated, value => $$invalidate(44, $imageTransformsInterpolated = value));\n\tcomponent_subscribe($$self, imageRotation, value => $$invalidate(27, $imageRotation = value));\n\tcomponent_subscribe($$self, imageFlipX, value => $$invalidate(23, $imageFlipX = value));\n\tcomponent_subscribe($$self, imageFlipY, value => $$invalidate(22, $imageFlipY = value));\n\n\tfunction measure_handler(event) {\n\t\tbubble.call(this, $$self, event);\n\t}\n\n\t$$self.$$set = $$props => {\n\t\tif ('isActive' in $$props) $$invalidate(0, isActive = $$props.isActive);\n\t\tif ('isActiveFraction' in $$props) $$invalidate(1, isActiveFraction = $$props.isActiveFraction);\n\t\tif ('isVisible' in $$props) $$invalidate(2, isVisible = $$props.isVisible);\n\t\tif ('stores' in $$props) $$invalidate(3, stores = $$props.stores);\n\t\tif ('locale' in $$props) $$invalidate(4, locale = $$props.locale);\n\t\tif ('stickers' in $$props) $$invalidate(5, stickers = $$props.stickers);\n\t\tif ('stickerStickToImage' in $$props) $$invalidate(6, stickerStickToImage = $$props.stickerStickToImage);\n\t\tif ('stickerEnableSelectImagePreset' in $$props) $$invalidate(40, stickerEnableSelectImagePreset = $$props.stickerEnableSelectImagePreset);\n\t\tif ('stickerEnableDropImagePreset' in $$props) $$invalidate(7, stickerEnableDropImagePreset = $$props.stickerEnableDropImagePreset);\n\t\tif ('stickerEnableButtonFlipVertical' in $$props) $$invalidate(8, stickerEnableButtonFlipVertical = $$props.stickerEnableButtonFlipVertical);\n\t\tif ('stickerWillRenderShapePresetToolbar' in $$props) $$invalidate(9, stickerWillRenderShapePresetToolbar = $$props.stickerWillRenderShapePresetToolbar);\n\t\tif ('stickerEnableSelectImage' in $$props) $$invalidate(41, stickerEnableSelectImage = $$props.stickerEnableSelectImage);\n\t\tif ('stickersEnableButtonFlipVertical' in $$props) $$invalidate(10, stickersEnableButtonFlipVertical = $$props.stickersEnableButtonFlipVertical);\n\t\tif ('stickersWillRenderShapePresetToolbar' in $$props) $$invalidate(11, stickersWillRenderShapePresetToolbar = $$props.stickersWillRenderShapePresetToolbar);\n\t\tif ('willRenderShapeControls' in $$props) $$invalidate(12, willRenderShapeControls = $$props.willRenderShapeControls);\n\t\tif ('willRenderShapeTextControls' in $$props) $$invalidate(13, willRenderShapeTextControls = $$props.willRenderShapeTextControls);\n\t\tif ('markupEditorToolSelectRadius' in $$props) $$invalidate(14, markupEditorToolSelectRadius = $$props.markupEditorToolSelectRadius);\n\t\tif ('willRenderShapePresetToolbar' in $$props) $$invalidate(15, willRenderShapePresetToolbar = $$props.willRenderShapePresetToolbar);\n\t\tif ('beforeAddShape' in $$props) $$invalidate(16, beforeAddShape = $$props.beforeAddShape);\n\t\tif ('beforeRemoveShape' in $$props) $$invalidate(17, beforeRemoveShape = $$props.beforeRemoveShape);\n\t\tif ('beforeDeselectShape' in $$props) $$invalidate(18, beforeDeselectShape = $$props.beforeDeselectShape);\n\t\tif ('beforeSelectShape' in $$props) $$invalidate(19, beforeSelectShape = $$props.beforeSelectShape);\n\t\tif ('beforeUpdateShape' in $$props) $$invalidate(20, beforeUpdateShape = $$props.beforeUpdateShape);\n\t\tif ('markupEditorWillStartInteraction' in $$props) $$invalidate(21, markupEditorWillStartInteraction = $$props.markupEditorWillStartInteraction);\n\t};\n\n\t$$self.$$.update = () => {\n\t\tif ($$self.$$.dirty[1] & /*$imageTransformsInterpolated*/ 8192) {\n\t\t\t$$invalidate(42, presentationZoom = $imageTransformsInterpolated\n\t\t\t? $imageTransformsInterpolated.scale\n\t\t\t: 1);\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*stickerEnableSelectImagePreset, stickerEnableSelectImage*/ 1536) {\n\t\t\t$$invalidate(26, enablePresetSelectImage = stickerEnableSelectImagePreset === false\n\t\t\t? false\n\t\t\t: stickerEnableSelectImage); // || stickerEnableSelectImagePreset\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*stickerStickToImage, $imageFlipX, $imageFlipY*/ 12582976 | $$self.$$.dirty[1] & /*$rootRect, $imageSize, $imageTransformsInterpolated, $imageTransforms, $imageSelectionRectPresentation, presentationZoom*/ 129024) {\n\t\t\t//\n\t\t\t// Mapping coordinates\n\t\t\t//\n\t\t\t$$invalidate(25, mapScreenPointToImagePoint = stickerStickToImage\n\t\t\t? point => _mapScreenPointToImagePoint(point, $rootRect, $imageSize, $imageTransformsInterpolated.origin, $imageTransformsInterpolated.translation, $imageTransforms.rotation.z, $imageTransformsInterpolated.scale, $imageFlipX, $imageFlipY)\n\t\t\t: point => {\n\t\t\t\t\tconst mappedPoint = vectorClone(point);\n\t\t\t\t\tmappedPoint.x -= $imageSelectionRectPresentation.x;\n\t\t\t\t\tmappedPoint.y -= $imageSelectionRectPresentation.y;\n\t\t\t\t\tmappedPoint.x /= presentationZoom;\n\t\t\t\t\tmappedPoint.y /= presentationZoom;\n\t\t\t\t\treturn mappedPoint;\n\t\t\t\t});\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*stickerStickToImage, $imageFlipX, $imageFlipY*/ 12582976 | $$self.$$.dirty[1] & /*$rootRect, $imageSize, $imageTransformsInterpolated, $imageTransforms, presentationZoom, $imageSelectionRectPresentation*/ 129024) {\n\t\t\t$$invalidate(24, mapImagePointToScreenPoint = stickerStickToImage\n\t\t\t? point => _mapImagePointToScreenPoint(point, $rootRect, $imageSize, $imageTransformsInterpolated.origin, $imageTransformsInterpolated.translation, $imageTransforms.rotation.z, $imageTransformsInterpolated.scale, $imageFlipX, $imageFlipY)\n\t\t\t: point => {\n\t\t\t\t\tconst mappedPoint = vectorClone(point);\n\t\t\t\t\tmappedPoint.x *= presentationZoom;\n\t\t\t\t\tmappedPoint.y *= presentationZoom;\n\t\t\t\t\tmappedPoint.x += $imageSelectionRectPresentation.x;\n\t\t\t\t\tmappedPoint.y += $imageSelectionRectPresentation.y;\n\t\t\t\t\treturn mappedPoint;\n\t\t\t\t});\n\t\t}\n\t};\n\n\treturn [\n\t\tisActive,\n\t\tisActiveFraction,\n\t\tisVisible,\n\t\tstores,\n\t\tlocale,\n\t\tstickers,\n\t\tstickerStickToImage,\n\t\tstickerEnableDropImagePreset,\n\t\tstickerEnableButtonFlipVertical,\n\t\tstickerWillRenderShapePresetToolbar,\n\t\tstickersEnableButtonFlipVertical,\n\t\tstickersWillRenderShapePresetToolbar,\n\t\twillRenderShapeControls,\n\t\twillRenderShapeTextControls,\n\t\tmarkupEditorToolSelectRadius,\n\t\twillRenderShapePresetToolbar,\n\t\tbeforeAddShape,\n\t\tbeforeRemoveShape,\n\t\tbeforeDeselectShape,\n\t\tbeforeSelectShape,\n\t\tbeforeUpdateShape,\n\t\tmarkupEditorWillStartInteraction,\n\t\t$imageFlipY,\n\t\t$imageFlipX,\n\t\tmapImagePointToScreenPoint,\n\t\tmapScreenPointToImagePoint,\n\t\tenablePresetSelectImage,\n\t\t$imageRotation,\n\t\trootRect,\n\t\timageCropRect,\n\t\timageSelectionRectPresentation,\n\t\timageAnnotation,\n\t\timageDecoration,\n\t\timageSize,\n\t\timageTransforms,\n\t\timageTransformsInterpolated,\n\t\timageRotation,\n\t\timageFlipX,\n\t\timageFlipY,\n\t\tname,\n\t\tstickerEnableSelectImagePreset,\n\t\tstickerEnableSelectImage,\n\t\tpresentationZoom,\n\t\t$imageSelectionRectPresentation,\n\t\t$imageTransformsInterpolated,\n\t\t$imageTransforms,\n\t\t$imageSize,\n\t\t$rootRect,\n\t\tmeasure_handler\n\t];\n}\n\nclass Sticker extends SvelteComponent {\n\tconstructor(options) {\n\t\tsuper();\n\n\t\tinit(\n\t\t\tthis,\n\t\t\toptions,\n\t\t\tinstance$7,\n\t\t\tcreate_fragment$7,\n\t\t\tsafe_not_equal,\n\t\t\t{\n\t\t\t\tname: 39,\n\t\t\t\tisActive: 0,\n\t\t\t\tisActiveFraction: 1,\n\t\t\t\tisVisible: 2,\n\t\t\t\tstores: 3,\n\t\t\t\tlocale: 4,\n\t\t\t\tstickers: 5,\n\t\t\t\tstickerStickToImage: 6,\n\t\t\t\tstickerEnableSelectImagePreset: 40,\n\t\t\t\tstickerEnableDropImagePreset: 7,\n\t\t\t\tstickerEnableButtonFlipVertical: 8,\n\t\t\t\tstickerWillRenderShapePresetToolbar: 9,\n\t\t\t\tstickerEnableSelectImage: 41,\n\t\t\t\tstickersEnableButtonFlipVertical: 10,\n\t\t\t\tstickersWillRenderShapePresetToolbar: 11,\n\t\t\t\twillRenderShapeControls: 12,\n\t\t\t\twillRenderShapeTextControls: 13,\n\t\t\t\tmarkupEditorToolSelectRadius: 14,\n\t\t\t\twillRenderShapePresetToolbar: 15,\n\t\t\t\tbeforeAddShape: 16,\n\t\t\t\tbeforeRemoveShape: 17,\n\t\t\t\tbeforeDeselectShape: 18,\n\t\t\t\tbeforeSelectShape: 19,\n\t\t\t\tbeforeUpdateShape: 20,\n\t\t\t\tmarkupEditorWillStartInteraction: 21\n\t\t\t},\n\t\t\tnull,\n\t\t\t[-1, -1]\n\t\t);\n\t}\n\n\tget name() {\n\t\treturn this.$$.ctx[39];\n\t}\n\n\tget isActive() {\n\t\treturn this.$$.ctx[0];\n\t}\n\n\tset isActive(isActive) {\n\t\tthis.$$set({ isActive });\n\t\tflush();\n\t}\n\n\tget isActiveFraction() {\n\t\treturn this.$$.ctx[1];\n\t}\n\n\tset isActiveFraction(isActiveFraction) {\n\t\tthis.$$set({ isActiveFraction });\n\t\tflush();\n\t}\n\n\tget isVisible() {\n\t\treturn this.$$.ctx[2];\n\t}\n\n\tset isVisible(isVisible) {\n\t\tthis.$$set({ isVisible });\n\t\tflush();\n\t}\n\n\tget stores() {\n\t\treturn this.$$.ctx[3];\n\t}\n\n\tset stores(stores) {\n\t\tthis.$$set({ stores });\n\t\tflush();\n\t}\n\n\tget locale() {\n\t\treturn this.$$.ctx[4];\n\t}\n\n\tset locale(locale) {\n\t\tthis.$$set({ locale });\n\t\tflush();\n\t}\n\n\tget stickers() {\n\t\treturn this.$$.ctx[5];\n\t}\n\n\tset stickers(stickers) {\n\t\tthis.$$set({ stickers });\n\t\tflush();\n\t}\n\n\tget stickerStickToImage() {\n\t\treturn this.$$.ctx[6];\n\t}\n\n\tset stickerStickToImage(stickerStickToImage) {\n\t\tthis.$$set({ stickerStickToImage });\n\t\tflush();\n\t}\n\n\tget stickerEnableSelectImagePreset() {\n\t\treturn this.$$.ctx[40];\n\t}\n\n\tset stickerEnableSelectImagePreset(stickerEnableSelectImagePreset) {\n\t\tthis.$$set({ stickerEnableSelectImagePreset });\n\t\tflush();\n\t}\n\n\tget stickerEnableDropImagePreset() {\n\t\treturn this.$$.ctx[7];\n\t}\n\n\tset stickerEnableDropImagePreset(stickerEnableDropImagePreset) {\n\t\tthis.$$set({ stickerEnableDropImagePreset });\n\t\tflush();\n\t}\n\n\tget stickerEnableButtonFlipVertical() {\n\t\treturn this.$$.ctx[8];\n\t}\n\n\tset stickerEnableButtonFlipVertical(stickerEnableButtonFlipVertical) {\n\t\tthis.$$set({ stickerEnableButtonFlipVertical });\n\t\tflush();\n\t}\n\n\tget stickerWillRenderShapePresetToolbar() {\n\t\treturn this.$$.ctx[9];\n\t}\n\n\tset stickerWillRenderShapePresetToolbar(stickerWillRenderShapePresetToolbar) {\n\t\tthis.$$set({ stickerWillRenderShapePresetToolbar });\n\t\tflush();\n\t}\n\n\tget stickerEnableSelectImage() {\n\t\treturn this.$$.ctx[41];\n\t}\n\n\tset stickerEnableSelectImage(stickerEnableSelectImage) {\n\t\tthis.$$set({ stickerEnableSelectImage });\n\t\tflush();\n\t}\n\n\tget stickersEnableButtonFlipVertical() {\n\t\treturn this.$$.ctx[10];\n\t}\n\n\tset stickersEnableButtonFlipVertical(stickersEnableButtonFlipVertical) {\n\t\tthis.$$set({ stickersEnableButtonFlipVertical });\n\t\tflush();\n\t}\n\n\tget stickersWillRenderShapePresetToolbar() {\n\t\treturn this.$$.ctx[11];\n\t}\n\n\tset stickersWillRenderShapePresetToolbar(stickersWillRenderShapePresetToolbar) {\n\t\tthis.$$set({ stickersWillRenderShapePresetToolbar });\n\t\tflush();\n\t}\n\n\tget willRenderShapeControls() {\n\t\treturn this.$$.ctx[12];\n\t}\n\n\tset willRenderShapeControls(willRenderShapeControls) {\n\t\tthis.$$set({ willRenderShapeControls });\n\t\tflush();\n\t}\n\n\tget willRenderShapeTextControls() {\n\t\treturn this.$$.ctx[13];\n\t}\n\n\tset willRenderShapeTextControls(willRenderShapeTextControls) {\n\t\tthis.$$set({ willRenderShapeTextControls });\n\t\tflush();\n\t}\n\n\tget markupEditorToolSelectRadius() {\n\t\treturn this.$$.ctx[14];\n\t}\n\n\tset markupEditorToolSelectRadius(markupEditorToolSelectRadius) {\n\t\tthis.$$set({ markupEditorToolSelectRadius });\n\t\tflush();\n\t}\n\n\tget willRenderShapePresetToolbar() {\n\t\treturn this.$$.ctx[15];\n\t}\n\n\tset willRenderShapePresetToolbar(willRenderShapePresetToolbar) {\n\t\tthis.$$set({ willRenderShapePresetToolbar });\n\t\tflush();\n\t}\n\n\tget beforeAddShape() {\n\t\treturn this.$$.ctx[16];\n\t}\n\n\tset beforeAddShape(beforeAddShape) {\n\t\tthis.$$set({ beforeAddShape });\n\t\tflush();\n\t}\n\n\tget beforeRemoveShape() {\n\t\treturn this.$$.ctx[17];\n\t}\n\n\tset beforeRemoveShape(beforeRemoveShape) {\n\t\tthis.$$set({ beforeRemoveShape });\n\t\tflush();\n\t}\n\n\tget beforeDeselectShape() {\n\t\treturn this.$$.ctx[18];\n\t}\n\n\tset beforeDeselectShape(beforeDeselectShape) {\n\t\tthis.$$set({ beforeDeselectShape });\n\t\tflush();\n\t}\n\n\tget beforeSelectShape() {\n\t\treturn this.$$.ctx[19];\n\t}\n\n\tset beforeSelectShape(beforeSelectShape) {\n\t\tthis.$$set({ beforeSelectShape });\n\t\tflush();\n\t}\n\n\tget beforeUpdateShape() {\n\t\treturn this.$$.ctx[20];\n\t}\n\n\tset beforeUpdateShape(beforeUpdateShape) {\n\t\tthis.$$set({ beforeUpdateShape });\n\t\tflush();\n\t}\n\n\tget markupEditorWillStartInteraction() {\n\t\treturn this.$$.ctx[21];\n\t}\n\n\tset markupEditorWillStartInteraction(markupEditorWillStartInteraction) {\n\t\tthis.$$set({ markupEditorWillStartInteraction });\n\t\tflush();\n\t}\n}\n\n// @ts-ignore\nvar _plugin_sticker = {\n    util: [\n        'sticker',\n        Sticker,\n        ({ stickers, stickerEnableSelectImagePreset, stickerEnableDropImagePreset }) => (stickers && stickers.length) ||\n            stickerEnableSelectImagePreset ||\n            stickerEnableDropImagePreset,\n    ],\n};\n\n/* src/core/ui/plugins/frame/index.svelte generated by Svelte v3.52.0 */\n\nfunction create_option_slot$1(ctx) {\n\tlet div;\n\tlet html_tag;\n\tlet raw_value = (/*getOptionThumb*/ ctx[14](/*option*/ ctx[33].value) || '') + \"\";\n\tlet t0;\n\tlet span;\n\n\tlet t1_value = (isFunction(/*option*/ ctx[33].label)\n\t? /*option*/ ctx[33].label(/*locale*/ ctx[1])\n\t: /*option*/ ctx[33].label) + \"\";\n\n\tlet t1;\n\n\treturn {\n\t\tc() {\n\t\t\tdiv = element(\"div\");\n\t\t\thtml_tag = new HtmlTag(false);\n\t\t\tt0 = space();\n\t\t\tspan = element(\"span\");\n\t\t\tt1 = text(t1_value);\n\t\t\thtml_tag.a = t0;\n\t\t\tattr(div, \"slot\", \"option\");\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, div, anchor);\n\t\t\thtml_tag.m(raw_value, div);\n\t\t\tappend(div, t0);\n\t\t\tappend(div, span);\n\t\t\tappend(span, t1);\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tif (dirty[1] & /*option*/ 4 && raw_value !== (raw_value = (/*getOptionThumb*/ ctx[14](/*option*/ ctx[33].value) || '') + \"\")) html_tag.p(raw_value);\n\n\t\t\tif (dirty[0] & /*locale*/ 2 | dirty[1] & /*option*/ 4 && t1_value !== (t1_value = (isFunction(/*option*/ ctx[33].label)\n\t\t\t? /*option*/ ctx[33].label(/*locale*/ ctx[1])\n\t\t\t: /*option*/ ctx[33].label) + \"\")) set_data(t1, t1_value);\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(div);\n\t\t}\n\t};\n}\n\n// (157:8) <Scrollable elasticity={scrollElasticity}>\nfunction create_default_slot$3(ctx) {\n\tlet radiogroup;\n\tlet current;\n\n\tradiogroup = new RadioGroup({\n\t\t\tprops: {\n\t\t\t\tlocale: /*locale*/ ctx[1],\n\t\t\t\tclass: \"PinturaControlList\",\n\t\t\t\tlayout: \"row\",\n\t\t\t\toptions: /*frameOptions*/ ctx[2],\n\t\t\t\tselectedIndex: /*selectedFrameIndex*/ ctx[6],\n\t\t\t\tonchange: /*handleChangeFrame*/ ctx[12],\n\t\t\t\t$$slots: {\n\t\t\t\t\toption: [\n\t\t\t\t\t\tcreate_option_slot$1,\n\t\t\t\t\t\t({ option }) => ({ 33: option }),\n\t\t\t\t\t\t({ option }) => [0, option ? 4 : 0]\n\t\t\t\t\t]\n\t\t\t\t},\n\t\t\t\t$$scope: { ctx }\n\t\t\t}\n\t\t});\n\n\treturn {\n\t\tc() {\n\t\t\tcreate_component(radiogroup.$$.fragment);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tmount_component(radiogroup, target, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tconst radiogroup_changes = {};\n\t\t\tif (dirty[0] & /*locale*/ 2) radiogroup_changes.locale = /*locale*/ ctx[1];\n\t\t\tif (dirty[0] & /*frameOptions*/ 4) radiogroup_changes.options = /*frameOptions*/ ctx[2];\n\t\t\tif (dirty[0] & /*selectedFrameIndex*/ 64) radiogroup_changes.selectedIndex = /*selectedFrameIndex*/ ctx[6];\n\n\t\t\tif (dirty[0] & /*locale*/ 2 | dirty[1] & /*$$scope, option*/ 12) {\n\t\t\t\tradiogroup_changes.$$scope = { dirty, ctx };\n\t\t\t}\n\n\t\t\tradiogroup.$set(radiogroup_changes);\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(radiogroup.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(radiogroup.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tdestroy_component(radiogroup, detaching);\n\t\t}\n\t};\n}\n\n// (148:4) \nfunction create_footer_slot$2(ctx) {\n\tlet div;\n\tlet shapestyleeditor;\n\tlet t;\n\tlet scrollable;\n\tlet current;\n\n\tshapestyleeditor = new ShapeStyleEditor({\n\t\t\tprops: {\n\t\t\t\tlocale: /*locale*/ ctx[1],\n\t\t\t\tclass: \"PinturaControlPanels\",\n\t\t\t\tshape: /*$imageFrame*/ ctx[4],\n\t\t\t\tonchange: /*handleUpdateSelectedFrameShape*/ ctx[13],\n\t\t\t\tcontrols: /*markupEditorShapeStyleControls*/ ctx[3],\n\t\t\t\tscrollElasticity: /*computedScrollElasticity*/ ctx[7]\n\t\t\t}\n\t\t});\n\n\tscrollable = new Scrollable({\n\t\t\tprops: {\n\t\t\t\telasticity: /*scrollElasticity*/ ctx[10],\n\t\t\t\t$$slots: { default: [create_default_slot$3] },\n\t\t\t\t$$scope: { ctx }\n\t\t\t}\n\t\t});\n\n\treturn {\n\t\tc() {\n\t\t\tdiv = element(\"div\");\n\t\t\tcreate_component(shapestyleeditor.$$.fragment);\n\t\t\tt = space();\n\t\t\tcreate_component(scrollable.$$.fragment);\n\t\t\tattr(div, \"slot\", \"footer\");\n\t\t\tattr(div, \"style\", /*footerStyle*/ ctx[5]);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, div, anchor);\n\t\t\tmount_component(shapestyleeditor, div, null);\n\t\t\tappend(div, t);\n\t\t\tmount_component(scrollable, div, null);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tconst shapestyleeditor_changes = {};\n\t\t\tif (dirty[0] & /*locale*/ 2) shapestyleeditor_changes.locale = /*locale*/ ctx[1];\n\t\t\tif (dirty[0] & /*$imageFrame*/ 16) shapestyleeditor_changes.shape = /*$imageFrame*/ ctx[4];\n\t\t\tif (dirty[0] & /*markupEditorShapeStyleControls*/ 8) shapestyleeditor_changes.controls = /*markupEditorShapeStyleControls*/ ctx[3];\n\t\t\tif (dirty[0] & /*computedScrollElasticity*/ 128) shapestyleeditor_changes.scrollElasticity = /*computedScrollElasticity*/ ctx[7];\n\t\t\tshapestyleeditor.$set(shapestyleeditor_changes);\n\t\t\tconst scrollable_changes = {};\n\n\t\t\tif (dirty[0] & /*locale, frameOptions, selectedFrameIndex*/ 70 | dirty[1] & /*$$scope*/ 8) {\n\t\t\t\tscrollable_changes.$$scope = { dirty, ctx };\n\t\t\t}\n\n\t\t\tscrollable.$set(scrollable_changes);\n\n\t\t\tif (!current || dirty[0] & /*footerStyle*/ 32) {\n\t\t\t\tattr(div, \"style\", /*footerStyle*/ ctx[5]);\n\t\t\t}\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(shapestyleeditor.$$.fragment, local);\n\t\t\ttransition_in(scrollable.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(shapestyleeditor.$$.fragment, local);\n\t\t\ttransition_out(scrollable.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(div);\n\t\t\tdestroy_component(shapestyleeditor);\n\t\t\tdestroy_component(scrollable);\n\t\t}\n\t};\n}\n\nfunction create_fragment$6(ctx) {\n\tlet util;\n\tlet current;\n\n\tutil = new Util({\n\t\t\tprops: {\n\t\t\t\t$$slots: { footer: [create_footer_slot$2] },\n\t\t\t\t$$scope: { ctx }\n\t\t\t}\n\t\t});\n\n\tutil.$on(\"measure\", /*measure_handler*/ ctx[23]);\n\n\treturn {\n\t\tc() {\n\t\t\tcreate_component(util.$$.fragment);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tmount_component(util, target, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tconst util_changes = {};\n\n\t\t\tif (dirty[0] & /*footerStyle, locale, frameOptions, selectedFrameIndex, $imageFrame, markupEditorShapeStyleControls, computedScrollElasticity*/ 254 | dirty[1] & /*$$scope*/ 8) {\n\t\t\t\tutil_changes.$$scope = { dirty, ctx };\n\t\t\t}\n\n\t\t\tutil.$set(util_changes);\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(util.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(util.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tdestroy_component(util, detaching);\n\t\t}\n\t};\n}\n\nfunction instance$6($$self, $$props, $$invalidate) {\n\tlet computedScrollElasticity;\n\tlet selectedFrameIndex;\n\tlet footerStyle;\n\tlet $footerOffset;\n\n\tlet $isActive,\n\t\t$$unsubscribe_isActive = noop,\n\t\t$$subscribe_isActive = () => ($$unsubscribe_isActive(), $$unsubscribe_isActive = subscribe(isActive, $$value => $$invalidate(20, $isActive = $$value)), isActive);\n\n\tlet $animation;\n\tlet $imageFrame;\n\tlet $elasticityMultiplier;\n\t$$self.$$.on_destroy.push(() => $$unsubscribe_isActive());\n\tconst name = 'frame';\n\tlet { isActive } = $$props;\n\t$$subscribe_isActive();\n\tlet { stores } = $$props;\n\tlet { locale = {} } = $$props;\n\tlet { frameStyles = {} } = $$props;\n\tlet { frameOptions = [] } = $$props;\n\tlet { markupEditorShapeStyleControls = undefined } = $$props;\n\n\t//\n\t// context\n\t//\n\tconst elasticityMultiplier = getContext('elasticityMultiplier');\n\n\tcomponent_subscribe($$self, elasticityMultiplier, value => $$invalidate(22, $elasticityMultiplier = value));\n\n\t// connect filter choice to stores\n\tconst { history, animation, scrollElasticity, imageFrame, allowPan, allowZoom, allowZoomControls } = stores;\n\n\tcomponent_subscribe($$self, animation, value => $$invalidate(21, $animation = value));\n\tcomponent_subscribe($$self, imageFrame, value => $$invalidate(4, $imageFrame = value));\n\n\t// default frame styles\n\tlet frameActiveStyles = {};\n\n\tconst handleChangeFrame = ({ value }) => {\n\t\t// get new frame\n\t\tconst frameBase = frameStyles[value];\n\n\t\t// no new frame selected\n\t\tif (!frameBase || !frameBase.shape) {\n\t\t\timageFrame.set(undefined);\n\t\t\thistory.write();\n\t\t\treturn;\n\t\t}\n\n\t\tconst { shape } = frameBase;\n\n\t\t// create new base frame\n\t\tconst frame = {\n\t\t\tid: value,\n\t\t\t// copy the frame base, it's possible that this frame has a different layout\n\t\t\t...shapeDeepCopy(shape),\n\t\t\t// set base styles\n\t\t\t...Object.keys(frameActiveStyles).reduce(\n\t\t\t\t(frameStyles, prop) => {\n\t\t\t\t\tif (!shape[prop]) return frameStyles;\n\t\t\t\t\tframeStyles[prop] = frameActiveStyles[prop];\n\t\t\t\t\treturn frameStyles;\n\t\t\t\t},\n\t\t\t\t{}\n\t\t\t)\n\t\t};\n\n\t\timageFrame.set(frame);\n\t\thistory.write();\n\t};\n\n\tlet updateWriteHistoryTimeoutId;\n\n\tfunction handleUpdateSelectedFrameShape(props) {\n\t\t// remember color style for when creating or styling other element\n\t\tif (hasProp(props, 'frameColor')) frameActiveStyles.frameColor = props.frameColor;\n\n\t\t// it's possible we're only updating default styles\n\t\tif (!$imageFrame) return;\n\n\t\t// frameSelected\n\t\tshapeUpdateProps($imageFrame, props);\n\n\t\t// update shape so ui shape controls are updated\n\t\timageFrame.set($imageFrame);\n\n\t\t// so we don't write every state change to history\n\t\tclearTimeout(updateWriteHistoryTimeoutId);\n\n\t\tupdateWriteHistoryTimeoutId = setTimeout(\n\t\t\t() => {\n\t\t\t\thistory.write();\n\t\t\t},\n\t\t\t200\n\t\t);\n\t}\n\n\tconst isIncompleteSVGMarkup = str => (/rect|path|circle|line|<g>/i).test(str);\n\tconst isHTML = str => (/div/i).test(str);\n\n\tconst getThumb = value => {\n\t\tif (isHTML(value)) return value;\n\n\t\t// could be full svg\n\t\tif (isSVGMarkup(value)) return value;\n\n\t\t// could be a partial svg in which case we turn it into a full svg\n\t\tif (isIncompleteSVGMarkup(value)) return `<svg xmlns=\"http://www.w3.org/2000/svg\" width=\"100%\" height=\"100%\" stroke-width=\"1\" stroke=\"currentColor\" fill=\"none\" aria-hidden=\"true\" focusable=\"false\" stroke-linecap=\"round\" stroke-linejoin=\"round\">${value}</svg>`;\n\n\t\t// if not, must be URL\n\t\treturn `<img src=\"${value}\" alt=\"\"/>`;\n\t};\n\n\tconst getOptionThumb = key => {\n\t\tconst frameStyle = frameStyles[key];\n\t\tif (!frameStyle || !frameStyle.thumb) return;\n\t\treturn getThumb(frameStyle.thumb);\n\t};\n\n\t//\n\t// Footer style\n\t//\n\tconst footerOffset = spring($animation ? 20 : 0);\n\n\tcomponent_subscribe($$self, footerOffset, value => $$invalidate(19, $footerOffset = value));\n\n\tfunction measure_handler(event) {\n\t\tbubble.call(this, $$self, event);\n\t}\n\n\t$$self.$$set = $$props => {\n\t\tif ('isActive' in $$props) $$subscribe_isActive($$invalidate(0, isActive = $$props.isActive));\n\t\tif ('stores' in $$props) $$invalidate(17, stores = $$props.stores);\n\t\tif ('locale' in $$props) $$invalidate(1, locale = $$props.locale);\n\t\tif ('frameStyles' in $$props) $$invalidate(18, frameStyles = $$props.frameStyles);\n\t\tif ('frameOptions' in $$props) $$invalidate(2, frameOptions = $$props.frameOptions);\n\t\tif ('markupEditorShapeStyleControls' in $$props) $$invalidate(3, markupEditorShapeStyleControls = $$props.markupEditorShapeStyleControls);\n\t};\n\n\t$$self.$$.update = () => {\n\t\tif ($$self.$$.dirty[0] & /*$isActive*/ 1048576) {\n\t\t\t// enable pan and zoom\n\t\t\tallowPan.set($isActive);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*$isActive*/ 1048576) {\n\t\t\tallowZoom.set($isActive);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*$isActive*/ 1048576) {\n\t\t\tallowZoomControls.set($isActive);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*$elasticityMultiplier*/ 4194304) {\n\t\t\t//\n\t\t\t// scroll components\n\t\t\t//\n\t\t\t$$invalidate(7, computedScrollElasticity = $elasticityMultiplier * scrollElasticity);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*$imageFrame, frameOptions*/ 20) {\n\t\t\t// current index in frame list\n\t\t\t$$invalidate(6, selectedFrameIndex = $imageFrame\n\t\t\t? frameOptions.findIndex(([id]) => id === $imageFrame.id)\n\t\t\t: 0);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*$animation, $isActive*/ 3145728) {\n\t\t\t$animation && footerOffset.set($isActive ? 0 : 20);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*$footerOffset*/ 524288) {\n\t\t\t$$invalidate(5, footerStyle = $footerOffset\n\t\t\t? `transform: translateY(${$footerOffset}px)`\n\t\t\t: undefined);\n\t\t}\n\t};\n\n\treturn [\n\t\tisActive,\n\t\tlocale,\n\t\tframeOptions,\n\t\tmarkupEditorShapeStyleControls,\n\t\t$imageFrame,\n\t\tfooterStyle,\n\t\tselectedFrameIndex,\n\t\tcomputedScrollElasticity,\n\t\telasticityMultiplier,\n\t\tanimation,\n\t\tscrollElasticity,\n\t\timageFrame,\n\t\thandleChangeFrame,\n\t\thandleUpdateSelectedFrameShape,\n\t\tgetOptionThumb,\n\t\tfooterOffset,\n\t\tname,\n\t\tstores,\n\t\tframeStyles,\n\t\t$footerOffset,\n\t\t$isActive,\n\t\t$animation,\n\t\t$elasticityMultiplier,\n\t\tmeasure_handler\n\t];\n}\n\nclass Frame extends SvelteComponent {\n\tconstructor(options) {\n\t\tsuper();\n\n\t\tinit(\n\t\t\tthis,\n\t\t\toptions,\n\t\t\tinstance$6,\n\t\t\tcreate_fragment$6,\n\t\t\tsafe_not_equal,\n\t\t\t{\n\t\t\t\tname: 16,\n\t\t\t\tisActive: 0,\n\t\t\t\tstores: 17,\n\t\t\t\tlocale: 1,\n\t\t\t\tframeStyles: 18,\n\t\t\t\tframeOptions: 2,\n\t\t\t\tmarkupEditorShapeStyleControls: 3\n\t\t\t},\n\t\t\tnull,\n\t\t\t[-1, -1]\n\t\t);\n\t}\n\n\tget name() {\n\t\treturn this.$$.ctx[16];\n\t}\n\n\tget isActive() {\n\t\treturn this.$$.ctx[0];\n\t}\n\n\tset isActive(isActive) {\n\t\tthis.$$set({ isActive });\n\t\tflush();\n\t}\n\n\tget stores() {\n\t\treturn this.$$.ctx[17];\n\t}\n\n\tset stores(stores) {\n\t\tthis.$$set({ stores });\n\t\tflush();\n\t}\n\n\tget locale() {\n\t\treturn this.$$.ctx[1];\n\t}\n\n\tset locale(locale) {\n\t\tthis.$$set({ locale });\n\t\tflush();\n\t}\n\n\tget frameStyles() {\n\t\treturn this.$$.ctx[18];\n\t}\n\n\tset frameStyles(frameStyles) {\n\t\tthis.$$set({ frameStyles });\n\t\tflush();\n\t}\n\n\tget frameOptions() {\n\t\treturn this.$$.ctx[2];\n\t}\n\n\tset frameOptions(frameOptions) {\n\t\tthis.$$set({ frameOptions });\n\t\tflush();\n\t}\n\n\tget markupEditorShapeStyleControls() {\n\t\treturn this.$$.ctx[3];\n\t}\n\n\tset markupEditorShapeStyleControls(markupEditorShapeStyleControls) {\n\t\tthis.$$set({ markupEditorShapeStyleControls });\n\t\tflush();\n\t}\n}\n\n// @ts-ignore\nvar _plugin_frame = { util: ['frame', Frame, ({ src }) => src && !isVideoFile(src)] };\n\n/* src/core/ui/plugins/resize/DimensionInput.svelte generated by Svelte v3.52.0 */\n\nfunction create_fragment$5(ctx) {\n\tlet div;\n\tlet input;\n\tlet input_value_value;\n\tlet t0;\n\tlet label_1;\n\tlet t1;\n\tlet mounted;\n\tlet dispose;\n\n\treturn {\n\t\tc() {\n\t\t\tdiv = element(\"div\");\n\t\t\tinput = element(\"input\");\n\t\t\tt0 = space();\n\t\t\tlabel_1 = element(\"label\");\n\t\t\tt1 = text(/*label*/ ctx[1]);\n\t\t\tattr(input, \"id\", /*id*/ ctx[0]);\n\t\t\tattr(input, \"type\", \"number\");\n\t\t\tattr(input, \"min\", \"1\");\n\t\t\tattr(input, \"inputmode\", \"numeric\");\n\t\t\tattr(input, \"pattern\", \"[0-9]*\");\n\t\t\tattr(input, \"data-state\", /*state*/ ctx[3]);\n\t\t\tattr(input, \"autocomplete\", \"off\");\n\t\t\tattr(input, \"placeholder\", /*placeholder*/ ctx[4]);\n\n\t\t\tinput.value = input_value_value = /*value*/ ctx[5] === undefined\n\t\t\t? ''\n\t\t\t: /*format*/ ctx[7](/*value*/ ctx[5] + '');\n\n\t\t\tattr(label_1, \"for\", /*id*/ ctx[0]);\n\t\t\tattr(label_1, \"title\", /*title*/ ctx[2]);\n\t\t\tattr(label_1, \"aria-label\", /*title*/ ctx[2]);\n\t\t\tattr(div, \"class\", \"PinturaInputDimension\");\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, div, anchor);\n\t\t\tappend(div, input);\n\t\t\tappend(div, t0);\n\t\t\tappend(div, label_1);\n\t\t\tappend(label_1, t1);\n\n\t\t\tif (!mounted) {\n\t\t\t\tdispose = listen(input, \"input\", /*input_handler*/ ctx[8]);\n\t\t\t\tmounted = true;\n\t\t\t}\n\t\t},\n\t\tp(ctx, [dirty]) {\n\t\t\tif (dirty & /*id*/ 1) {\n\t\t\t\tattr(input, \"id\", /*id*/ ctx[0]);\n\t\t\t}\n\n\t\t\tif (dirty & /*state*/ 8) {\n\t\t\t\tattr(input, \"data-state\", /*state*/ ctx[3]);\n\t\t\t}\n\n\t\t\tif (dirty & /*placeholder*/ 16) {\n\t\t\t\tattr(input, \"placeholder\", /*placeholder*/ ctx[4]);\n\t\t\t}\n\n\t\t\tif (dirty & /*value, format*/ 160 && input_value_value !== (input_value_value = /*value*/ ctx[5] === undefined\n\t\t\t? ''\n\t\t\t: /*format*/ ctx[7](/*value*/ ctx[5] + '')) && input.value !== input_value_value) {\n\t\t\t\tinput.value = input_value_value;\n\t\t\t}\n\n\t\t\tif (dirty & /*label*/ 2) set_data(t1, /*label*/ ctx[1]);\n\n\t\t\tif (dirty & /*id*/ 1) {\n\t\t\t\tattr(label_1, \"for\", /*id*/ ctx[0]);\n\t\t\t}\n\n\t\t\tif (dirty & /*title*/ 4) {\n\t\t\t\tattr(label_1, \"title\", /*title*/ ctx[2]);\n\t\t\t}\n\n\t\t\tif (dirty & /*title*/ 4) {\n\t\t\t\tattr(label_1, \"aria-label\", /*title*/ ctx[2]);\n\t\t\t}\n\t\t},\n\t\ti: noop,\n\t\to: noop,\n\t\td(detaching) {\n\t\t\tif (detaching) detach(div);\n\t\t\tmounted = false;\n\t\t\tdispose();\n\t\t}\n\t};\n}\n\nfunction instance$5($$self, $$props, $$invalidate) {\n\tlet { id } = $$props;\n\tlet { label } = $$props;\n\tlet { title } = $$props;\n\tlet { state } = $$props;\n\tlet { placeholder } = $$props;\n\tlet { value } = $$props;\n\tlet { onchange } = $$props;\n\tlet { format = str => str.replace(/\\D/g, '') } = $$props;\n\tconst input_handler = e => onchange(format(e.currentTarget.value));\n\n\t$$self.$$set = $$props => {\n\t\tif ('id' in $$props) $$invalidate(0, id = $$props.id);\n\t\tif ('label' in $$props) $$invalidate(1, label = $$props.label);\n\t\tif ('title' in $$props) $$invalidate(2, title = $$props.title);\n\t\tif ('state' in $$props) $$invalidate(3, state = $$props.state);\n\t\tif ('placeholder' in $$props) $$invalidate(4, placeholder = $$props.placeholder);\n\t\tif ('value' in $$props) $$invalidate(5, value = $$props.value);\n\t\tif ('onchange' in $$props) $$invalidate(6, onchange = $$props.onchange);\n\t\tif ('format' in $$props) $$invalidate(7, format = $$props.format);\n\t};\n\n\treturn [id, label, title, state, placeholder, value, onchange, format, input_handler];\n}\n\nclass DimensionInput extends SvelteComponent {\n\tconstructor(options) {\n\t\tsuper();\n\n\t\tinit(this, options, instance$5, create_fragment$5, safe_not_equal, {\n\t\t\tid: 0,\n\t\t\tlabel: 1,\n\t\t\ttitle: 2,\n\t\t\tstate: 3,\n\t\t\tplaceholder: 4,\n\t\t\tvalue: 5,\n\t\t\tonchange: 6,\n\t\t\tformat: 7\n\t\t});\n\t}\n}\n\n/* src/core/ui/plugins/resize/DimensionLock.svelte generated by Svelte v3.52.0 */\n\nfunction create_default_slot$2(ctx) {\n\tlet g;\n\n\treturn {\n\t\tc() {\n\t\t\tg = svg_element(\"g\");\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, g, anchor);\n\t\t\tg.innerHTML = /*icon*/ ctx[2];\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tif (dirty & /*icon*/ 4) g.innerHTML = /*icon*/ ctx[2];\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(g);\n\t\t}\n\t};\n}\n\nfunction create_fragment$4(ctx) {\n\tlet div;\n\tlet input;\n\tlet t;\n\tlet label;\n\tlet icon_1;\n\tlet current;\n\tlet mounted;\n\tlet dispose;\n\n\ticon_1 = new Icon({\n\t\t\tprops: {\n\t\t\t\t$$slots: { default: [create_default_slot$2] },\n\t\t\t\t$$scope: { ctx }\n\t\t\t}\n\t\t});\n\n\treturn {\n\t\tc() {\n\t\t\tdiv = element(\"div\");\n\t\t\tinput = element(\"input\");\n\t\t\tt = space();\n\t\t\tlabel = element(\"label\");\n\t\t\tcreate_component(icon_1.$$.fragment);\n\t\t\tattr(input, \"id\", /*id*/ ctx[0]);\n\t\t\tattr(input, \"class\", \"implicit\");\n\t\t\tattr(input, \"type\", \"checkbox\");\n\t\t\tinput.checked = /*locked*/ ctx[1];\n\t\t\tattr(label, \"for\", /*id*/ ctx[0]);\n\t\t\tattr(label, \"title\", /*title*/ ctx[3]);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, div, anchor);\n\t\t\tappend(div, input);\n\t\t\tappend(div, t);\n\t\t\tappend(div, label);\n\t\t\tmount_component(icon_1, label, null);\n\t\t\tcurrent = true;\n\n\t\t\tif (!mounted) {\n\t\t\t\tdispose = listen(input, \"change\", /*change_handler*/ ctx[5]);\n\t\t\t\tmounted = true;\n\t\t\t}\n\t\t},\n\t\tp(ctx, [dirty]) {\n\t\t\tif (!current || dirty & /*id*/ 1) {\n\t\t\t\tattr(input, \"id\", /*id*/ ctx[0]);\n\t\t\t}\n\n\t\t\tif (!current || dirty & /*locked*/ 2) {\n\t\t\t\tinput.checked = /*locked*/ ctx[1];\n\t\t\t}\n\n\t\t\tconst icon_1_changes = {};\n\n\t\t\tif (dirty & /*$$scope, icon*/ 68) {\n\t\t\t\ticon_1_changes.$$scope = { dirty, ctx };\n\t\t\t}\n\n\t\t\ticon_1.$set(icon_1_changes);\n\n\t\t\tif (!current || dirty & /*id*/ 1) {\n\t\t\t\tattr(label, \"for\", /*id*/ ctx[0]);\n\t\t\t}\n\n\t\t\tif (!current || dirty & /*title*/ 8) {\n\t\t\t\tattr(label, \"title\", /*title*/ ctx[3]);\n\t\t\t}\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(icon_1.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(icon_1.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(div);\n\t\t\tdestroy_component(icon_1);\n\t\t\tmounted = false;\n\t\t\tdispose();\n\t\t}\n\t};\n}\n\nfunction instance$4($$self, $$props, $$invalidate) {\n\tlet { id } = $$props;\n\tlet { locked } = $$props;\n\tlet { icon } = $$props;\n\tlet { title } = $$props;\n\tlet { onchange } = $$props;\n\tconst change_handler = e => onchange(e.currentTarget.checked);\n\n\t$$self.$$set = $$props => {\n\t\tif ('id' in $$props) $$invalidate(0, id = $$props.id);\n\t\tif ('locked' in $$props) $$invalidate(1, locked = $$props.locked);\n\t\tif ('icon' in $$props) $$invalidate(2, icon = $$props.icon);\n\t\tif ('title' in $$props) $$invalidate(3, title = $$props.title);\n\t\tif ('onchange' in $$props) $$invalidate(4, onchange = $$props.onchange);\n\t};\n\n\treturn [id, locked, icon, title, onchange, change_handler];\n}\n\nclass DimensionLock extends SvelteComponent {\n\tconstructor(options) {\n\t\tsuper();\n\n\t\tinit(this, options, instance$4, create_fragment$4, safe_not_equal, {\n\t\t\tid: 0,\n\t\t\tlocked: 1,\n\t\t\ticon: 2,\n\t\t\ttitle: 3,\n\t\t\tonchange: 4\n\t\t});\n\t}\n}\n\n/* src/core/ui/plugins/resize/index.svelte generated by Svelte v3.52.0 */\n\nfunction create_default_slot$1(ctx) {\n\tlet t;\n\n\treturn {\n\t\tc() {\n\t\t\tt = text(\"Save\");\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, t, anchor);\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(t);\n\t\t}\n\t};\n}\n\n// (596:4) \nfunction create_footer_slot$1(ctx) {\n\tlet form;\n\tlet div1;\n\tlet fieldset;\n\tlet legend;\n\tlet t0_value = /*locale*/ ctx[1].resizeLabelFormCaption + \"\";\n\tlet t0;\n\tlet t1;\n\tlet div0;\n\tlet dynamiccomponenttree;\n\tlet t2;\n\tlet button;\n\tlet current;\n\tlet mounted;\n\tlet dispose;\n\tdynamiccomponenttree = new DynamicComponentTree_1({ props: { items: /*tools*/ ctx[4] } });\n\n\tbutton = new Button({\n\t\t\tprops: {\n\t\t\t\ttype: \"submit\",\n\t\t\t\tclass: \"implicit\",\n\t\t\t\t$$slots: { default: [create_default_slot$1] },\n\t\t\t\t$$scope: { ctx }\n\t\t\t}\n\t\t});\n\n\treturn {\n\t\tc() {\n\t\t\tform = element(\"form\");\n\t\t\tdiv1 = element(\"div\");\n\t\t\tfieldset = element(\"fieldset\");\n\t\t\tlegend = element(\"legend\");\n\t\t\tt0 = text(t0_value);\n\t\t\tt1 = space();\n\t\t\tdiv0 = element(\"div\");\n\t\t\tcreate_component(dynamiccomponenttree.$$.fragment);\n\t\t\tt2 = space();\n\t\t\tcreate_component(button.$$.fragment);\n\t\t\tattr(legend, \"class\", \"implicit\");\n\t\t\tattr(div0, \"class\", \"PinturaFieldsetInner\");\n\t\t\tattr(div1, \"class\", \"PinturaFormInner\");\n\t\t\tattr(form, \"slot\", \"footer\");\n\t\t\tattr(form, \"style\", /*footerStyle*/ ctx[3]);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, form, anchor);\n\t\t\tappend(form, div1);\n\t\t\tappend(div1, fieldset);\n\t\t\tappend(fieldset, legend);\n\t\t\tappend(legend, t0);\n\t\t\tappend(fieldset, t1);\n\t\t\tappend(fieldset, div0);\n\t\t\tmount_component(dynamiccomponenttree, div0, null);\n\t\t\t/*div0_binding*/ ctx[64](div0);\n\t\t\tappend(div1, t2);\n\t\t\tmount_component(button, div1, null);\n\t\t\tcurrent = true;\n\n\t\t\tif (!mounted) {\n\t\t\t\tdispose = [\n\t\t\t\t\tlisten(div0, \"focusin\", /*handleFocusIn*/ ctx[15]),\n\t\t\t\t\tlisten(div0, \"focusout\", /*handleFocusOut*/ ctx[16]),\n\t\t\t\t\tlisten(form, \"submit\", prevent_default(/*handleSubmit*/ ctx[17]))\n\t\t\t\t];\n\n\t\t\t\tmounted = true;\n\t\t\t}\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tif ((!current || dirty[0] & /*locale*/ 2) && t0_value !== (t0_value = /*locale*/ ctx[1].resizeLabelFormCaption + \"\")) set_data(t0, t0_value);\n\t\t\tconst dynamiccomponenttree_changes = {};\n\t\t\tif (dirty[0] & /*tools*/ 16) dynamiccomponenttree_changes.items = /*tools*/ ctx[4];\n\t\t\tdynamiccomponenttree.$set(dynamiccomponenttree_changes);\n\t\t\tconst button_changes = {};\n\n\t\t\tif (dirty[3] & /*$$scope*/ 4) {\n\t\t\t\tbutton_changes.$$scope = { dirty, ctx };\n\t\t\t}\n\n\t\t\tbutton.$set(button_changes);\n\n\t\t\tif (!current || dirty[0] & /*footerStyle*/ 8) {\n\t\t\t\tattr(form, \"style\", /*footerStyle*/ ctx[3]);\n\t\t\t}\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(dynamiccomponenttree.$$.fragment, local);\n\t\t\ttransition_in(button.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(dynamiccomponenttree.$$.fragment, local);\n\t\t\ttransition_out(button.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(form);\n\t\t\tdestroy_component(dynamiccomponenttree);\n\t\t\t/*div0_binding*/ ctx[64](null);\n\t\t\tdestroy_component(button);\n\t\t\tmounted = false;\n\t\t\trun_all(dispose);\n\t\t}\n\t};\n}\n\nfunction create_fragment$3(ctx) {\n\tlet util;\n\tlet current;\n\n\tutil = new Util({\n\t\t\tprops: {\n\t\t\t\t$$slots: { footer: [create_footer_slot$1] },\n\t\t\t\t$$scope: { ctx }\n\t\t\t}\n\t\t});\n\n\tutil.$on(\"measure\", /*measure_handler*/ ctx[65]);\n\n\treturn {\n\t\tc() {\n\t\t\tcreate_component(util.$$.fragment);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tmount_component(util, target, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tconst util_changes = {};\n\n\t\t\tif (dirty[0] & /*footerStyle, fieldsGroup, tools, locale*/ 30 | dirty[3] & /*$$scope*/ 4) {\n\t\t\t\tutil_changes.$$scope = { dirty, ctx };\n\t\t\t}\n\n\t\t\tutil.$set(util_changes);\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(util.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(util.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tdestroy_component(util, detaching);\n\t\t}\n\t};\n}\n\nfunction instance$3($$self, $$props, $$invalidate) {\n\tlet sizePresetLabel;\n\tlet widthPresetLabel;\n\tlet heightPresetLabel;\n\tlet canRenderSizePresets;\n\tlet canRenderWidthPresets;\n\tlet canRenderHeightPresets;\n\tlet canRenderSizeInputs;\n\tlet tools;\n\tlet footerStyle;\n\tlet $footerOffset;\n\n\tlet $isActive,\n\t\t$$unsubscribe_isActive = noop,\n\t\t$$subscribe_isActive = () => ($$unsubscribe_isActive(), $$unsubscribe_isActive = subscribe(isActive, $$value => $$invalidate(48, $isActive = $$value)), isActive);\n\n\tlet $animation;\n\tlet $env;\n\tlet $imageCropRect;\n\tlet $imageCropRectAspectRatio;\n\tlet $iconActiveFraction;\n\tlet $heightPresetSelectedIndex;\n\tlet $formattedResizeHeightPresetOptions;\n\tlet $widthPresetSelectedIndex;\n\tlet $formattedResizeWidthPresetOptions;\n\tlet $sizePresetSelectedIndex;\n\tlet $formattedResizeSizePresetOptions;\n\tlet $imageOutputSize;\n\tlet $imageCropAspectRatio;\n\tlet $formattedResizeHeightPresetOptionsFlattened;\n\tlet $formattedResizeWidthPresetOptionsFlattened;\n\tlet $formattedResizeSizePresetOptionsFlattened;\n\tlet $imageSize;\n\tlet $imageSelectionZoom;\n\tlet $imageSelectionPan;\n\t$$self.$$.on_destroy.push(() => $$unsubscribe_isActive());\n\n\tconst formatValue = (value, min = 0, max = 9999) => {\n\t\tif (isString(value)) {\n\t\t\tvalue = value.replace(/\\D/g, '');\n\t\t\tif (!value.length) return;\n\t\t}\n\n\t\tconst v = Math.round(value);\n\t\tif (Number.isNaN(v)) return;\n\t\treturn clamp(v, min, max);\n\t};\n\n\tconst name = 'resize';\n\tlet { isActive } = $$props;\n\t$$subscribe_isActive();\n\tlet { stores } = $$props;\n\tlet { locale = {} } = $$props;\n\tlet { resizeMinSize = sizeCreate(1, 1) } = $$props;\n\tlet { resizeMaxSize = sizeCreate(9999, 9999) } = $$props;\n\tlet { resizeSizePresetOptions = undefined } = $$props;\n\tlet { resizeWidthPresetOptions = undefined } = $$props;\n\tlet { resizeHeightPresetOptions = undefined } = $$props;\n\tlet { resizeWillRenderFooter = passthrough } = $$props;\n\n\t// offset\n\tconst iconActiveFraction = spring(0, { stiffness: 0.15, damping: 0.3 });\n\n\tcomponent_subscribe($$self, iconActiveFraction, value => $$invalidate(53, $iconActiveFraction = value));\n\tconst { animation, imageSize, imageCropRect, imageCropRectAspectRatio, imageCropAspectRatio, imageOutputSize, imageSelectionZoom, imageSelectionPan, history, env, allowPan, allowZoom, allowZoomControls } = stores;\n\tcomponent_subscribe($$self, animation, value => $$invalidate(49, $animation = value));\n\tcomponent_subscribe($$self, imageSize, value => $$invalidate(72, $imageSize = value));\n\tcomponent_subscribe($$self, imageCropRect, value => $$invalidate(51, $imageCropRect = value));\n\tcomponent_subscribe($$self, imageCropRectAspectRatio, value => $$invalidate(52, $imageCropRectAspectRatio = value));\n\tcomponent_subscribe($$self, imageCropAspectRatio, value => $$invalidate(71, $imageCropAspectRatio = value));\n\tcomponent_subscribe($$self, imageOutputSize, value => $$invalidate(60, $imageOutputSize = value));\n\tcomponent_subscribe($$self, imageSelectionZoom, value => $$invalidate(73, $imageSelectionZoom = value));\n\tcomponent_subscribe($$self, imageSelectionPan, value => $$invalidate(74, $imageSelectionPan = value));\n\tcomponent_subscribe($$self, env, value => $$invalidate(50, $env = value));\n\tconst formId = getUniqueId();\n\tlet fieldsGroup;\n\tlet maintainAspectRatio = false;\n\tlet width;\n\tlet height;\n\tlet activeField;\n\tlet lastActiveField;\n\tlet storedImageSelectionPan = vectorCreateEmpty();\n\tlet storedImageSelectionZoom;\n\n\tconst rememberPanZoom = () => {\n\t\tstoredImageSelectionPan = $imageSelectionPan;\n\t\tstoredImageSelectionZoom = $imageSelectionZoom;\n\t};\n\n\t// zoom image preview so it scales to show the actual image output size\n\tconst updateSelectionScale = outputSize => {\n\t\t// always reset to center\n\t\tset_store_value(imageSelectionPan, $imageSelectionPan = vectorCreateEmpty(), $imageSelectionPan);\n\n\t\t// no resizing, zoom to actual size\n\t\tif (!outputSize || !$imageCropRect) {\n\t\t\tset_store_value(imageSelectionZoom, $imageSelectionZoom = 1, $imageSelectionZoom);\n\t\t\treturn;\n\t\t}\n\n\t\t// zoom image to fit image target size\n\t\tset_store_value(imageSelectionZoom, $imageSelectionZoom = outputSize.width / $imageCropRect.width || outputSize.height / $imageCropRect.height, $imageSelectionZoom);\n\t};\n\n\tconst resetSelectionScale = () => {\n\t\tset_store_value(imageSelectionPan, $imageSelectionPan = storedImageSelectionPan, $imageSelectionPan);\n\t\tset_store_value(imageSelectionZoom, $imageSelectionZoom = storedImageSelectionZoom, $imageSelectionZoom);\n\t};\n\n\tconst getState = (value, field, activeField, resizeMinSize, resizeMaxSize) => value != null && activeField !== field\n\t? value >= resizeMinSize[field] && value <= resizeMaxSize[field]\n\t\t? 'valid'\n\t\t: 'invalid'\n\t: 'undetermined';\n\n\tconst getWidthPlaceholder = (value, cropAspectRatio, cropRect) => Math.round(value != null ? value * cropAspectRatio : cropRect.width);\n\n\tconst getHeightPlaceholder = (value, cropAspectRatio, cropRect) => Math.round(value != null\n\t? value / cropAspectRatio\n\t: cropRect.height);\n\n\t// populate active field\n\tconst handleFocusIn = e => {\n\t\tconst id = e.target.id;\n\n\t\tif ((/width/).test(id)) {\n\t\t\t$$invalidate(39, activeField = 'width');\n\t\t} else if ((/height/).test(id)) {\n\t\t\t$$invalidate(39, activeField = 'height');\n\t\t} else if ((/aspectRatio/i).test(id)) {\n\t\t\t$$invalidate(39, activeField = 'lock');\n\t\t} else {\n\t\t\t$$invalidate(39, activeField = undefined);\n\t\t}\n\t};\n\n\tconst handleFocusOut = e => {\n\t\tif (!fieldsGroup.contains(e.relatedTarget)) handleSubmit();\n\t\t$$invalidate(39, activeField = undefined);\n\t};\n\n\t// sync fields if one has a value and aspect ratio should be maintained\n\tconst syncFields = () => {\n\t\tif (!maintainAspectRatio || !width || !height) return;\n\n\t\tif (activeField === 'width') {\n\t\t\t// sync height field\n\t\t\t$$invalidate(38, height = Math.round(width / $imageCropRectAspectRatio));\n\t\t} else if (activeField === 'height') {\n\t\t\t// sync width field\n\t\t\t$$invalidate(37, width = Math.round(height * $imageCropRectAspectRatio));\n\t\t} else {\n\t\t\tif (lastActiveField === 'width') {\n\t\t\t\t$$invalidate(38, height = Math.round(width / $imageCropRectAspectRatio));\n\t\t\t} else if (lastActiveField === 'height') {\n\t\t\t\t$$invalidate(37, width = Math.round(height * $imageCropRectAspectRatio));\n\t\t\t}\n\n\t\t\tconsolidateSize();\n\t\t}\n\t};\n\n\t// $: if (maintainAspectRatio && width && height) syncFields()\n\tconst consolidateSize = forcedAspectRatio => {\n\t\t// first need to limit values\n\t\tlet inputWidth = formatValue(width);\n\n\t\tlet inputHeight = formatValue(height);\n\t\tlet currentWidth = inputWidth;\n\t\tlet currentHeight = inputHeight;\n\t\tlet bothAxisDefined = currentWidth && currentHeight;\n\t\tlet aspectRatio = forcedAspectRatio || $imageCropRectAspectRatio;\n\n\t\t// done, no consolidation needed\n\t\tif (!currentWidth && !currentHeight) return;\n\n\t\t// need to fill in missing values\n\t\tif (currentWidth && !currentHeight) {\n\t\t\tcurrentHeight = Math.round(currentWidth / aspectRatio);\n\t\t} else if (currentHeight && !currentWidth) {\n\t\t\tcurrentWidth = Math.round(currentHeight * aspectRatio);\n\t\t}\n\n\t\taspectRatio = forcedAspectRatio || bothAxisDefined\n\t\t? getAspectRatio(currentWidth, currentHeight)\n\t\t: $imageCropRectAspectRatio;\n\n\t\t// now we have both width and height let's re-fit the min max size\n\t\tlet currentSize = sizeCreate(currentWidth, currentHeight);\n\n\t\tif (!sizeContains(resizeMaxSize, currentSize)) {\n\t\t\t// too big\n\t\t\tcurrentSize = rectContainRect(resizeMaxSize, aspectRatio);\n\t\t}\n\n\t\tif (!sizeContains(currentSize, resizeMinSize)) {\n\t\t\t// too small\n\t\t\tcurrentSize = rectCoverRect(resizeMinSize, aspectRatio);\n\t\t}\n\n\t\t$$invalidate(37, width = inputWidth != null\n\t\t? Math.round(currentSize.width)\n\t\t: undefined);\n\n\t\t$$invalidate(38, height = inputHeight != null\n\t\t? Math.round(currentSize.height)\n\t\t: undefined);\n\t};\n\n\tconst handleSubmit = () => {\n\t\t// calculate correct values\n\t\tconsolidateSize();\n\n\t\t// get curent values so we can check if they were changed (if not, no need to write history or update)\n\t\tconst { width: currentWidth, height: currentHeight } = $imageOutputSize || {};\n\n\t\t// no need to update\n\t\tif (currentWidth === width && currentHeight === height) return;\n\n\t\t// update state\n\t\tif (!width && !height) {\n\t\t\t// reset image crop\n\t\t\tset_store_value(imageCropAspectRatio, $imageCropAspectRatio = $imageSize.width / $imageSize.height, $imageCropAspectRatio);\n\n\t\t\tset_store_value(imageCropAspectRatio, $imageCropAspectRatio = undefined, $imageCropAspectRatio);\n\n\t\t\t// reset output size\n\t\t\tset_store_value(imageOutputSize, $imageOutputSize = undefined, $imageOutputSize);\n\t\t} else {\n\t\t\tif (width && height) set_store_value(imageCropAspectRatio, $imageCropAspectRatio = width / height, $imageCropAspectRatio);\n\t\t\tset_store_value(imageOutputSize, $imageOutputSize = sizeCreate(width, height), $imageOutputSize);\n\t\t}\n\n\t\thistory.write();\n\t};\n\n\t// handle external updates to outputSize\n\tconst imageOutputSizeUnsub = imageOutputSize.subscribe(size => {\n\t\tif (!size) {\n\t\t\t$$invalidate(37, width = undefined);\n\t\t\t$$invalidate(38, height = undefined);\n\t\t\treturn;\n\t\t}\n\n\t\t$$invalidate(37, width = size.width);\n\t\t$$invalidate(38, height = size.height);\n\n\t\t// make sure the size conforms to min max\n\t\tconsolidateSize();\n\t});\n\n\t// if the crop aspect ratio is changed we need to align width/height\n\tconst imageCropAspectRatioUnsub = imageCropAspectRatio.subscribe(cropAspectRatio => {\n\t\t// exit if no dimensions supplied\n\t\tif (!width && !height) return;\n\n\t\t// no crop aspect ratio has been selected, so all is fine\n\t\tif (!cropAspectRatio) return;\n\n\t\t// fix size to match new aspect ratio of the crop\n\t\tif (width && height && getAspectRatio(width, height) !== cropAspectRatio) {\n\t\t\t$$invalidate(38, height = width / cropAspectRatio);\n\t\t\tconsolidateSize(cropAspectRatio);\n\t\t} else {\n\t\t\tconsolidateSize();\n\t\t}\n\t});\n\n\t//\n\t// size presets\n\t//\n\tconst formatPresetDimensionOption = option => {\n\t\tif (isString(option[0])) {\n\t\t\toption[1] = option[1].map(formatPresetDimensionOption);\n\t\t\treturn option;\n\t\t}\n\n\t\treturn isNumber(option) ? [option, '' + option] : option;\n\t};\n\n\tconst formatPresetSizeOption = option => {\n\t\tif (isString(option[0])) {\n\t\t\toption[1] = option[1].map(formatPresetSizeOption);\n\t\t\treturn option;\n\t\t}\n\n\t\tlet [value, label] = option;\n\n\t\t// Size only\n\t\tif (isNumber(value) && isNumber(label)) {\n\t\t\tconst [w, h] = [value, label];\n\t\t\tlabel = `${w} &times; ${h}`;\n\t\t\tvalue = [w, h];\n\t\t}\n\n\t\treturn [value, label];\n\t};\n\n\tconst formattedResizeSizePresetOptions = writable();\n\tcomponent_subscribe($$self, formattedResizeSizePresetOptions, value => $$invalidate(59, $formattedResizeSizePresetOptions = value));\n\tconst formattedResizeSizePresetOptionsFlattened = writable();\n\tcomponent_subscribe($$self, formattedResizeSizePresetOptionsFlattened, value => $$invalidate(63, $formattedResizeSizePresetOptionsFlattened = value));\n\tconst formattedResizeWidthPresetOptions = writable();\n\tcomponent_subscribe($$self, formattedResizeWidthPresetOptions, value => $$invalidate(57, $formattedResizeWidthPresetOptions = value));\n\tconst formattedResizeWidthPresetOptionsFlattened = writable();\n\tcomponent_subscribe($$self, formattedResizeWidthPresetOptionsFlattened, value => $$invalidate(62, $formattedResizeWidthPresetOptionsFlattened = value));\n\tconst formattedResizeHeightPresetOptions = writable();\n\tcomponent_subscribe($$self, formattedResizeHeightPresetOptions, value => $$invalidate(55, $formattedResizeHeightPresetOptions = value));\n\tconst formattedResizeHeightPresetOptionsFlattened = writable();\n\tcomponent_subscribe($$self, formattedResizeHeightPresetOptionsFlattened, value => $$invalidate(61, $formattedResizeHeightPresetOptionsFlattened = value));\n\n\tconst sizePresetSelectedIndex = derived([imageOutputSize, formattedResizeSizePresetOptionsFlattened], ([$imageOutputSize, $formattedResizeSizePresetOptionsFlattened], set) => {\n\t\tif (!$formattedResizeSizePresetOptionsFlattened) return set(-1);\n\n\t\tconst index = $formattedResizeSizePresetOptionsFlattened.findIndex(([value]) => {\n\t\t\tif (!value && !$imageOutputSize) return true;\n\t\t\tif (!value) return false;\n\t\t\tconst [width, height] = value;\n\t\t\treturn $imageOutputSize.width === width && $imageOutputSize.height === height;\n\t\t});\n\n\t\tset(index < 0 ? 0 : index);\n\t});\n\n\tcomponent_subscribe($$self, sizePresetSelectedIndex, value => $$invalidate(58, $sizePresetSelectedIndex = value));\n\n\tconst widthPresetSelectedIndex = derived([imageOutputSize, formattedResizeWidthPresetOptionsFlattened], ([$imageOutputSize, $formattedResizeWidthPresetOptionsFlattened], set) => {\n\t\tif (!$formattedResizeWidthPresetOptionsFlattened) return set(-1);\n\n\t\tconst index = $formattedResizeWidthPresetOptionsFlattened.findIndex(([value]) => {\n\t\t\tif (!value && !$imageOutputSize) return true;\n\t\t\tif (!value) return false;\n\t\t\treturn $imageOutputSize.width === value;\n\t\t});\n\n\t\tset(index < 0 ? 0 : index);\n\t});\n\n\tcomponent_subscribe($$self, widthPresetSelectedIndex, value => $$invalidate(56, $widthPresetSelectedIndex = value));\n\n\tconst heightPresetSelectedIndex = derived([imageOutputSize, formattedResizeHeightPresetOptionsFlattened], ([$imageOutputSize, $formattedResizeHeightPresetOptionsFlattened], set) => {\n\t\tif (!$formattedResizeHeightPresetOptionsFlattened) return set(-1);\n\n\t\tconst index = $formattedResizeHeightPresetOptionsFlattened.findIndex(([value]) => {\n\t\t\tif (!value && !$imageOutputSize) return true;\n\t\t\tif (!value) return false;\n\t\t\treturn $imageOutputSize.height === value;\n\t\t});\n\n\t\tset(index < 0 ? 0 : index);\n\t});\n\n\tcomponent_subscribe($$self, heightPresetSelectedIndex, value => $$invalidate(54, $heightPresetSelectedIndex = value));\n\tlet storedCropRect = undefined;\n\tlet storedCropAspectRatio = undefined;\n\n\tconst setImageOutputSizeWithArray = size => {\n\t\tif (size && !storedCropRect) {\n\t\t\tstoredCropRect = { ...$imageCropRect };\n\t\t\tstoredCropAspectRatio = $imageCropAspectRatio;\n\t\t}\n\n\t\tif (!size) {\n\t\t\tset_store_value(imageCropRect, $imageCropRect = storedCropRect, $imageCropRect);\n\t\t\tset_store_value(imageCropAspectRatio, $imageCropAspectRatio = storedCropAspectRatio, $imageCropAspectRatio);\n\t\t\tset_store_value(imageOutputSize, $imageOutputSize = undefined, $imageOutputSize);\n\t\t\tstoredCropRect = undefined;\n\t\t\tstoredCropAspectRatio = undefined;\n\t\t} else {\n\t\t\tset_store_value(imageCropAspectRatio, $imageCropAspectRatio = getAspectRatio(size[0], size[1]), $imageCropAspectRatio);\n\t\t\tset_store_value(imageOutputSize, $imageOutputSize = sizeCreateFromArray(size), $imageOutputSize);\n\t\t}\n\n\t\thistory.write();\n\t};\n\n\t//\n\t// toolbar\n\t//\n\tconst redrawTrigger = getContext('redrawTrigger');\n\n\t//\n\t// Footer\n\t//\n\tconst footerOffset = spring($animation ? 20 : 0);\n\n\tcomponent_subscribe($$self, footerOffset, value => $$invalidate(47, $footerOffset = value));\n\n\t//\n\t// Clean up\n\t//\n\tonDestroy(() => {\n\t\timageOutputSizeUnsub();\n\t\timageCropAspectRatioUnsub();\n\t});\n\n\tfunction div0_binding($$value) {\n\t\tbinding_callbacks[$$value ? 'unshift' : 'push'](() => {\n\t\t\tfieldsGroup = $$value;\n\t\t\t$$invalidate(2, fieldsGroup);\n\t\t});\n\t}\n\n\tfunction measure_handler(event) {\n\t\tbubble.call(this, $$self, event);\n\t}\n\n\t$$self.$$set = $$props => {\n\t\tif ('isActive' in $$props) $$subscribe_isActive($$invalidate(0, isActive = $$props.isActive));\n\t\tif ('stores' in $$props) $$invalidate(29, stores = $$props.stores);\n\t\tif ('locale' in $$props) $$invalidate(1, locale = $$props.locale);\n\t\tif ('resizeMinSize' in $$props) $$invalidate(30, resizeMinSize = $$props.resizeMinSize);\n\t\tif ('resizeMaxSize' in $$props) $$invalidate(31, resizeMaxSize = $$props.resizeMaxSize);\n\t\tif ('resizeSizePresetOptions' in $$props) $$invalidate(32, resizeSizePresetOptions = $$props.resizeSizePresetOptions);\n\t\tif ('resizeWidthPresetOptions' in $$props) $$invalidate(33, resizeWidthPresetOptions = $$props.resizeWidthPresetOptions);\n\t\tif ('resizeHeightPresetOptions' in $$props) $$invalidate(34, resizeHeightPresetOptions = $$props.resizeHeightPresetOptions);\n\t\tif ('resizeWillRenderFooter' in $$props) $$invalidate(35, resizeWillRenderFooter = $$props.resizeWillRenderFooter);\n\t};\n\n\t$$self.$$.update = () => {\n\t\tif ($$self.$$.dirty[1] & /*$isActive*/ 131072) {\n\t\t\t// fully disable pan and zoom when resize tool is active\n\t\t\tallowPan.set(!$isActive);\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*$isActive*/ 131072) {\n\t\t\tallowZoom.set(!$isActive);\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*$isActive*/ 131072) {\n\t\t\tallowZoomControls.set(!$isActive);\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*resizeSizePresetOptions, $formattedResizeSizePresetOptions*/ 268435458) {\n\t\t\tif (resizeSizePresetOptions) {\n\t\t\t\tset_store_value(formattedResizeSizePresetOptions, $formattedResizeSizePresetOptions = resizeSizePresetOptions.map(formatPresetSizeOption), $formattedResizeSizePresetOptions);\n\t\t\t\tset_store_value(formattedResizeSizePresetOptionsFlattened, $formattedResizeSizePresetOptionsFlattened = flattenOptions($formattedResizeSizePresetOptions), $formattedResizeSizePresetOptionsFlattened);\n\t\t\t}\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*$formattedResizeSizePresetOptions*/ 268435456) {\n\t\t\t//\n\t\t\t// helper bools\n\t\t\t//\n\t\t\t$$invalidate(46, canRenderSizePresets = !!$formattedResizeSizePresetOptions);\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*$sizePresetSelectedIndex*/ 134217728 | $$self.$$.dirty[2] & /*$formattedResizeSizePresetOptionsFlattened*/ 2) {\n\t\t\t$$invalidate(45, sizePresetLabel = $sizePresetSelectedIndex > -1 && $formattedResizeSizePresetOptionsFlattened[$sizePresetSelectedIndex][1]);\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*resizeWidthPresetOptions, $formattedResizeWidthPresetOptions*/ 67108868) {\n\t\t\tif (resizeWidthPresetOptions) {\n\t\t\t\tset_store_value(formattedResizeWidthPresetOptions, $formattedResizeWidthPresetOptions = resizeWidthPresetOptions.map(formatPresetDimensionOption), $formattedResizeWidthPresetOptions);\n\t\t\t\tset_store_value(formattedResizeWidthPresetOptionsFlattened, $formattedResizeWidthPresetOptionsFlattened = flattenOptions($formattedResizeWidthPresetOptions), $formattedResizeWidthPresetOptionsFlattened);\n\t\t\t}\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*canRenderSizePresets, $formattedResizeWidthPresetOptions*/ 67141632) {\n\t\t\t$$invalidate(43, canRenderWidthPresets = !canRenderSizePresets && $formattedResizeWidthPresetOptions);\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*$widthPresetSelectedIndex*/ 33554432 | $$self.$$.dirty[2] & /*$formattedResizeWidthPresetOptionsFlattened*/ 1) {\n\t\t\t$$invalidate(44, widthPresetLabel = $widthPresetSelectedIndex > -1 && $formattedResizeWidthPresetOptionsFlattened[$widthPresetSelectedIndex][1]);\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*resizeHeightPresetOptions, $formattedResizeHeightPresetOptions*/ 16777224) {\n\t\t\tif (resizeHeightPresetOptions) {\n\t\t\t\tset_store_value(formattedResizeHeightPresetOptions, $formattedResizeHeightPresetOptions = resizeHeightPresetOptions.map(formatPresetDimensionOption), $formattedResizeHeightPresetOptions);\n\t\t\t\tset_store_value(formattedResizeHeightPresetOptionsFlattened, $formattedResizeHeightPresetOptionsFlattened = flattenOptions($formattedResizeHeightPresetOptions), $formattedResizeHeightPresetOptionsFlattened);\n\t\t\t}\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*canRenderSizePresets, $formattedResizeHeightPresetOptions*/ 16809984) {\n\t\t\t$$invalidate(42, canRenderHeightPresets = !canRenderSizePresets && $formattedResizeHeightPresetOptions);\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*$heightPresetSelectedIndex, $formattedResizeHeightPresetOptionsFlattened*/ 1082130432) {\n\t\t\t$$invalidate(41, heightPresetLabel = $heightPresetSelectedIndex > -1 && $formattedResizeHeightPresetOptionsFlattened[$heightPresetSelectedIndex][1]);\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*canRenderSizePresets, canRenderWidthPresets, canRenderHeightPresets*/ 38912) {\n\t\t\t$$invalidate(40, canRenderSizeInputs = !canRenderSizePresets && !canRenderWidthPresets && !canRenderHeightPresets);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*locale, resizeMinSize*/ 1073741826 | $$self.$$.dirty[1] & /*resizeWillRenderFooter, canRenderSizePresets, sizePresetLabel, $formattedResizeSizePresetOptions, $sizePresetSelectedIndex, canRenderWidthPresets, widthPresetLabel, $formattedResizeWidthPresetOptions, $widthPresetSelectedIndex, canRenderHeightPresets, heightPresetLabel, $formattedResizeHeightPresetOptions, $heightPresetSelectedIndex, canRenderSizeInputs, height, $imageCropRectAspectRatio, $imageCropRect, width, activeField, resizeMaxSize, maintainAspectRatio, $iconActiveFraction, $env*/ 536412145) {\n\t\t\t$$invalidate(4, tools = redrawTrigger && runSafe(() => resizeWillRenderFooter(\n\t\t\t\t[\n\t\t\t\t\tcanRenderSizePresets && [\n\t\t\t\t\t\t'Dropdown',\n\t\t\t\t\t\t'size-presets',\n\t\t\t\t\t\t{\n\t\t\t\t\t\t\tlabel: sizePresetLabel,\n\t\t\t\t\t\t\toptions: $formattedResizeSizePresetOptions,\n\t\t\t\t\t\t\tonchange: item => setImageOutputSizeWithArray(item.value),\n\t\t\t\t\t\t\tselectedIndex: $sizePresetSelectedIndex\n\t\t\t\t\t\t}\n\t\t\t\t\t],\n\t\t\t\t\tcanRenderWidthPresets && [\n\t\t\t\t\t\t'Dropdown',\n\t\t\t\t\t\t'width-presets',\n\t\t\t\t\t\t{\n\t\t\t\t\t\t\tlabel: widthPresetLabel,\n\t\t\t\t\t\t\toptions: $formattedResizeWidthPresetOptions,\n\t\t\t\t\t\t\tonchange: item => {\n\t\t\t\t\t\t\t\t$$invalidate(37, width = item.value);\n\t\t\t\t\t\t\t\thandleSubmit();\n\t\t\t\t\t\t\t},\n\t\t\t\t\t\t\tselectedIndex: $widthPresetSelectedIndex\n\t\t\t\t\t\t}\n\t\t\t\t\t],\n\t\t\t\t\tcanRenderWidthPresets && canRenderHeightPresets && [\n\t\t\t\t\t\t'span',\n\t\t\t\t\t\t'times',\n\t\t\t\t\t\t{\n\t\t\t\t\t\t\tclass: 'PinturaResizeLabel',\n\t\t\t\t\t\t\tinnerHTML: '&times;'\n\t\t\t\t\t\t}\n\t\t\t\t\t],\n\t\t\t\t\tcanRenderHeightPresets && [\n\t\t\t\t\t\t'Dropdown',\n\t\t\t\t\t\t'height-presets',\n\t\t\t\t\t\t{\n\t\t\t\t\t\t\tlabel: heightPresetLabel,\n\t\t\t\t\t\t\toptions: $formattedResizeHeightPresetOptions,\n\t\t\t\t\t\t\tonchange: item => {\n\t\t\t\t\t\t\t\t$$invalidate(38, height = item.value);\n\t\t\t\t\t\t\t\thandleSubmit();\n\t\t\t\t\t\t\t},\n\t\t\t\t\t\t\tselectedIndex: $heightPresetSelectedIndex\n\t\t\t\t\t\t}\n\t\t\t\t\t],\n\t\t\t\t\tcanRenderSizeInputs && [\n\t\t\t\t\t\tDimensionInput,\n\t\t\t\t\t\t'width-input',\n\t\t\t\t\t\t{\n\t\t\t\t\t\t\tid: `width-${formId}`,\n\t\t\t\t\t\t\ttitle: locale.resizeTitleInputWidth,\n\t\t\t\t\t\t\tlabel: locale.resizeLabelInputWidth,\n\t\t\t\t\t\t\tplaceholder: getWidthPlaceholder(formatValue(height), $imageCropRectAspectRatio, $imageCropRect),\n\t\t\t\t\t\t\tvalue: width,\n\t\t\t\t\t\t\tstate: getState(formatValue(width), 'width', activeField, resizeMinSize, resizeMaxSize),\n\t\t\t\t\t\t\tonchange: value => {\n\t\t\t\t\t\t\t\t$$invalidate(37, width = value);\n\t\t\t\t\t\t\t\tsyncFields();\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t],\n\t\t\t\t\tcanRenderSizeInputs && [\n\t\t\t\t\t\tDimensionLock,\n\t\t\t\t\t\t'aspect-ratio-lock',\n\t\t\t\t\t\t{\n\t\t\t\t\t\t\tid: `aspect-ratio-lock-${formId}`,\n\t\t\t\t\t\t\ttitle: locale.resizeTitleButtonMaintainAspectRatio,\n\t\t\t\t\t\t\ticon: isString(locale.resizeIconButtonMaintainAspectRatio)\n\t\t\t\t\t\t\t? locale.resizeIconButtonMaintainAspectRatio\n\t\t\t\t\t\t\t: locale.resizeIconButtonMaintainAspectRatio(maintainAspectRatio, $iconActiveFraction),\n\t\t\t\t\t\t\tlocked: maintainAspectRatio,\n\t\t\t\t\t\t\tonchange: locked => {\n\t\t\t\t\t\t\t\t$$invalidate(36, maintainAspectRatio = locked);\n\t\t\t\t\t\t\t\tsyncFields();\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t],\n\t\t\t\t\tcanRenderSizeInputs && [\n\t\t\t\t\t\tDimensionInput,\n\t\t\t\t\t\t'height-input',\n\t\t\t\t\t\t{\n\t\t\t\t\t\t\tid: `height-${formId}`,\n\t\t\t\t\t\t\ttitle: locale.resizeTitleInputHeight,\n\t\t\t\t\t\t\tlabel: locale.resizeLabelInputHeight,\n\t\t\t\t\t\t\tplaceholder: getHeightPlaceholder(formatValue(width), $imageCropRectAspectRatio, $imageCropRect),\n\t\t\t\t\t\t\tvalue: height,\n\t\t\t\t\t\t\tstate: getState(formatValue(height), 'height', activeField, resizeMinSize, resizeMaxSize),\n\t\t\t\t\t\t\tonchange: value => {\n\t\t\t\t\t\t\t\t$$invalidate(38, height = value);\n\t\t\t\t\t\t\t\tsyncFields();\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t]\n\t\t\t\t].filter(Boolean),\n\t\t\t\t{ ...$env },\n\t\t\t\t() => redrawTrigger.set({})\n\t\t\t)).filter(Boolean));\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*maintainAspectRatio*/ 32) {\n\t\t\ticonActiveFraction.set(maintainAspectRatio ? 1 : 0);\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*activeField*/ 256) {\n\t\t\tif (activeField) lastActiveField = activeField;\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*$isActive*/ 131072) {\n\t\t\tif ($isActive) rememberPanZoom();\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*$isActive, $imageOutputSize*/ 537001984) {\n\t\t\t$isActive\n\t\t\t? updateSelectionScale($imageOutputSize)\n\t\t\t: resetSelectionScale();\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*$animation, $isActive*/ 393216) {\n\t\t\t$animation && footerOffset.set($isActive ? 0 : 20);\n\t\t}\n\n\t\tif ($$self.$$.dirty[1] & /*$footerOffset*/ 65536) {\n\t\t\t$$invalidate(3, footerStyle = $footerOffset\n\t\t\t? `transform: translateY(${$footerOffset}px)`\n\t\t\t: undefined);\n\t\t}\n\t};\n\n\treturn [\n\t\tisActive,\n\t\tlocale,\n\t\tfieldsGroup,\n\t\tfooterStyle,\n\t\ttools,\n\t\ticonActiveFraction,\n\t\tanimation,\n\t\timageSize,\n\t\timageCropRect,\n\t\timageCropRectAspectRatio,\n\t\timageCropAspectRatio,\n\t\timageOutputSize,\n\t\timageSelectionZoom,\n\t\timageSelectionPan,\n\t\tenv,\n\t\thandleFocusIn,\n\t\thandleFocusOut,\n\t\thandleSubmit,\n\t\tformattedResizeSizePresetOptions,\n\t\tformattedResizeSizePresetOptionsFlattened,\n\t\tformattedResizeWidthPresetOptions,\n\t\tformattedResizeWidthPresetOptionsFlattened,\n\t\tformattedResizeHeightPresetOptions,\n\t\tformattedResizeHeightPresetOptionsFlattened,\n\t\tsizePresetSelectedIndex,\n\t\twidthPresetSelectedIndex,\n\t\theightPresetSelectedIndex,\n\t\tfooterOffset,\n\t\tname,\n\t\tstores,\n\t\tresizeMinSize,\n\t\tresizeMaxSize,\n\t\tresizeSizePresetOptions,\n\t\tresizeWidthPresetOptions,\n\t\tresizeHeightPresetOptions,\n\t\tresizeWillRenderFooter,\n\t\tmaintainAspectRatio,\n\t\twidth,\n\t\theight,\n\t\tactiveField,\n\t\tcanRenderSizeInputs,\n\t\theightPresetLabel,\n\t\tcanRenderHeightPresets,\n\t\tcanRenderWidthPresets,\n\t\twidthPresetLabel,\n\t\tsizePresetLabel,\n\t\tcanRenderSizePresets,\n\t\t$footerOffset,\n\t\t$isActive,\n\t\t$animation,\n\t\t$env,\n\t\t$imageCropRect,\n\t\t$imageCropRectAspectRatio,\n\t\t$iconActiveFraction,\n\t\t$heightPresetSelectedIndex,\n\t\t$formattedResizeHeightPresetOptions,\n\t\t$widthPresetSelectedIndex,\n\t\t$formattedResizeWidthPresetOptions,\n\t\t$sizePresetSelectedIndex,\n\t\t$formattedResizeSizePresetOptions,\n\t\t$imageOutputSize,\n\t\t$formattedResizeHeightPresetOptionsFlattened,\n\t\t$formattedResizeWidthPresetOptionsFlattened,\n\t\t$formattedResizeSizePresetOptionsFlattened,\n\t\tdiv0_binding,\n\t\tmeasure_handler\n\t];\n}\n\nclass Resize extends SvelteComponent {\n\tconstructor(options) {\n\t\tsuper();\n\n\t\tinit(\n\t\t\tthis,\n\t\t\toptions,\n\t\t\tinstance$3,\n\t\t\tcreate_fragment$3,\n\t\t\tsafe_not_equal,\n\t\t\t{\n\t\t\t\tname: 28,\n\t\t\t\tisActive: 0,\n\t\t\t\tstores: 29,\n\t\t\t\tlocale: 1,\n\t\t\t\tresizeMinSize: 30,\n\t\t\t\tresizeMaxSize: 31,\n\t\t\t\tresizeSizePresetOptions: 32,\n\t\t\t\tresizeWidthPresetOptions: 33,\n\t\t\t\tresizeHeightPresetOptions: 34,\n\t\t\t\tresizeWillRenderFooter: 35\n\t\t\t},\n\t\t\tnull,\n\t\t\t[-1, -1, -1, -1]\n\t\t);\n\t}\n\n\tget name() {\n\t\treturn this.$$.ctx[28];\n\t}\n\n\tget isActive() {\n\t\treturn this.$$.ctx[0];\n\t}\n\n\tset isActive(isActive) {\n\t\tthis.$$set({ isActive });\n\t\tflush();\n\t}\n\n\tget stores() {\n\t\treturn this.$$.ctx[29];\n\t}\n\n\tset stores(stores) {\n\t\tthis.$$set({ stores });\n\t\tflush();\n\t}\n\n\tget locale() {\n\t\treturn this.$$.ctx[1];\n\t}\n\n\tset locale(locale) {\n\t\tthis.$$set({ locale });\n\t\tflush();\n\t}\n\n\tget resizeMinSize() {\n\t\treturn this.$$.ctx[30];\n\t}\n\n\tset resizeMinSize(resizeMinSize) {\n\t\tthis.$$set({ resizeMinSize });\n\t\tflush();\n\t}\n\n\tget resizeMaxSize() {\n\t\treturn this.$$.ctx[31];\n\t}\n\n\tset resizeMaxSize(resizeMaxSize) {\n\t\tthis.$$set({ resizeMaxSize });\n\t\tflush();\n\t}\n\n\tget resizeSizePresetOptions() {\n\t\treturn this.$$.ctx[32];\n\t}\n\n\tset resizeSizePresetOptions(resizeSizePresetOptions) {\n\t\tthis.$$set({ resizeSizePresetOptions });\n\t\tflush();\n\t}\n\n\tget resizeWidthPresetOptions() {\n\t\treturn this.$$.ctx[33];\n\t}\n\n\tset resizeWidthPresetOptions(resizeWidthPresetOptions) {\n\t\tthis.$$set({ resizeWidthPresetOptions });\n\t\tflush();\n\t}\n\n\tget resizeHeightPresetOptions() {\n\t\treturn this.$$.ctx[34];\n\t}\n\n\tset resizeHeightPresetOptions(resizeHeightPresetOptions) {\n\t\tthis.$$set({ resizeHeightPresetOptions });\n\t\tflush();\n\t}\n\n\tget resizeWillRenderFooter() {\n\t\treturn this.$$.ctx[35];\n\t}\n\n\tset resizeWillRenderFooter(resizeWillRenderFooter) {\n\t\tthis.$$set({ resizeWillRenderFooter });\n\t\tflush();\n\t}\n}\n\n// @ts-ignore\nvar _plugin_resize = { util: ['resize', Resize, ({ src }) => src && !isVideoFile(src)] };\n\n/* src/core/ui/plugins/redact/index.svelte generated by Svelte v3.52.0 */\n\nfunction create_fragment$2(ctx) {\n\tlet shapeutil;\n\tlet current;\n\n\tshapeutil = new ShapeUtil({\n\t\t\tprops: {\n\t\t\t\tstores: /*stores*/ ctx[3],\n\t\t\t\tlocale: /*locale*/ ctx[4],\n\t\t\t\tisActive: /*isActive*/ ctx[0],\n\t\t\t\tisActiveFraction: /*isActiveFraction*/ ctx[1],\n\t\t\t\tisVisible: /*isVisible*/ ctx[2],\n\t\t\t\tmapScreenPointToImagePoint: /*mapScreenPointToImagePoint*/ ctx[9],\n\t\t\t\tmapImagePointToScreenPoint: /*mapImagePointToScreenPoint*/ ctx[8],\n\t\t\t\tutilKey: 'redact',\n\t\t\t\timageRotation: /*$imageRotation*/ ctx[10],\n\t\t\t\timageFlipX: /*$imageFlipX*/ ctx[7],\n\t\t\t\timageFlipY: /*$imageFlipY*/ ctx[6],\n\t\t\t\tshapes: /*imageRedaction*/ ctx[11],\n\t\t\t\ttoolbar: ['rect'],\n\t\t\t\ttoolShapes: {\n\t\t\t\t\trectangle: [{ x: 0, y: 0, width: 0, height: 0 }]\n\t\t\t\t},\n\t\t\t\ttoolActive: 'rectangle',\n\t\t\t\tparentRect: /*imageSize*/ ctx[13],\n\t\t\t\tenablePresetDropImage: false,\n\t\t\t\tenablePresetSelectImage: false,\n\t\t\t\twillStartInteraction: /*markupEditorWillStartInteraction*/ ctx[5],\n\t\t\t\thooks: {\n\t\t\t\t\twillRenderShapeControls: /*func*/ ctx[24]\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\n\tshapeutil.$on(\"measure\", /*measure_handler*/ ctx[25]);\n\n\treturn {\n\t\tc() {\n\t\t\tcreate_component(shapeutil.$$.fragment);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tmount_component(shapeutil, target, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, [dirty]) {\n\t\t\tconst shapeutil_changes = {};\n\t\t\tif (dirty & /*stores*/ 8) shapeutil_changes.stores = /*stores*/ ctx[3];\n\t\t\tif (dirty & /*locale*/ 16) shapeutil_changes.locale = /*locale*/ ctx[4];\n\t\t\tif (dirty & /*isActive*/ 1) shapeutil_changes.isActive = /*isActive*/ ctx[0];\n\t\t\tif (dirty & /*isActiveFraction*/ 2) shapeutil_changes.isActiveFraction = /*isActiveFraction*/ ctx[1];\n\t\t\tif (dirty & /*isVisible*/ 4) shapeutil_changes.isVisible = /*isVisible*/ ctx[2];\n\t\t\tif (dirty & /*mapScreenPointToImagePoint*/ 512) shapeutil_changes.mapScreenPointToImagePoint = /*mapScreenPointToImagePoint*/ ctx[9];\n\t\t\tif (dirty & /*mapImagePointToScreenPoint*/ 256) shapeutil_changes.mapImagePointToScreenPoint = /*mapImagePointToScreenPoint*/ ctx[8];\n\t\t\tif (dirty & /*$imageRotation*/ 1024) shapeutil_changes.imageRotation = /*$imageRotation*/ ctx[10];\n\t\t\tif (dirty & /*$imageFlipX*/ 128) shapeutil_changes.imageFlipX = /*$imageFlipX*/ ctx[7];\n\t\t\tif (dirty & /*$imageFlipY*/ 64) shapeutil_changes.imageFlipY = /*$imageFlipY*/ ctx[6];\n\t\t\tif (dirty & /*markupEditorWillStartInteraction*/ 32) shapeutil_changes.willStartInteraction = /*markupEditorWillStartInteraction*/ ctx[5];\n\t\t\tshapeutil.$set(shapeutil_changes);\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(shapeutil.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(shapeutil.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tdestroy_component(shapeutil, detaching);\n\t\t}\n\t};\n}\n\nfunction instance$2($$self, $$props, $$invalidate) {\n\tlet mapScreenPointToImagePoint;\n\tlet mapImagePointToScreenPoint;\n\tlet $imageFlipY;\n\tlet $imageFlipX;\n\tlet $imageTransformsInterpolated;\n\tlet $imageTransforms;\n\tlet $imageSize;\n\tlet $rootRect;\n\tlet $imageRotation;\n\tconst name = 'redact';\n\tlet { isActive } = $$props;\n\tlet { isActiveFraction } = $$props;\n\tlet { isVisible } = $$props;\n\tlet { stores } = $$props;\n\tlet { locale = {} } = $$props;\n\tlet { markupEditorWillStartInteraction = undefined } = $$props;\n\n\t// connect filter choice to stores\n\tconst { imageRedaction, rootRect, imageSize, imageRotation, imageFlipX, imageFlipY, imageTransforms, imageTransformsInterpolated } = stores;\n\n\tcomponent_subscribe($$self, rootRect, value => $$invalidate(23, $rootRect = value));\n\tcomponent_subscribe($$self, imageSize, value => $$invalidate(22, $imageSize = value));\n\tcomponent_subscribe($$self, imageRotation, value => $$invalidate(10, $imageRotation = value));\n\tcomponent_subscribe($$self, imageFlipX, value => $$invalidate(7, $imageFlipX = value));\n\tcomponent_subscribe($$self, imageFlipY, value => $$invalidate(6, $imageFlipY = value));\n\tcomponent_subscribe($$self, imageTransforms, value => $$invalidate(21, $imageTransforms = value));\n\tcomponent_subscribe($$self, imageTransformsInterpolated, value => $$invalidate(20, $imageTransformsInterpolated = value));\n\n\tconst func = controls => {\n\t\tconst children = getNodeChildren(controls[0]);\n\t\tremoveNode('to-front', children);\n\t\treturn controls;\n\t};\n\n\tfunction measure_handler(event) {\n\t\tbubble.call(this, $$self, event);\n\t}\n\n\t$$self.$$set = $$props => {\n\t\tif ('isActive' in $$props) $$invalidate(0, isActive = $$props.isActive);\n\t\tif ('isActiveFraction' in $$props) $$invalidate(1, isActiveFraction = $$props.isActiveFraction);\n\t\tif ('isVisible' in $$props) $$invalidate(2, isVisible = $$props.isVisible);\n\t\tif ('stores' in $$props) $$invalidate(3, stores = $$props.stores);\n\t\tif ('locale' in $$props) $$invalidate(4, locale = $$props.locale);\n\t\tif ('markupEditorWillStartInteraction' in $$props) $$invalidate(5, markupEditorWillStartInteraction = $$props.markupEditorWillStartInteraction);\n\t};\n\n\t$$self.$$.update = () => {\n\t\tif ($$self.$$.dirty & /*$rootRect, $imageSize, $imageTransformsInterpolated, $imageTransforms, $imageFlipX, $imageFlipY*/ 15728832) {\n\t\t\t//\n\t\t\t// Mapping coordinates\n\t\t\t//\n\t\t\t$$invalidate(9, mapScreenPointToImagePoint = point => _mapScreenPointToImagePoint(point, $rootRect, $imageSize, $imageTransformsInterpolated.origin, $imageTransformsInterpolated.translation, $imageTransforms.rotation.z, $imageTransformsInterpolated.scale, $imageFlipX, $imageFlipY));\n\t\t}\n\n\t\tif ($$self.$$.dirty & /*$rootRect, $imageSize, $imageTransformsInterpolated, $imageTransforms, $imageFlipX, $imageFlipY*/ 15728832) {\n\t\t\t$$invalidate(8, mapImagePointToScreenPoint = point => _mapImagePointToScreenPoint(point, $rootRect, $imageSize, $imageTransformsInterpolated.origin, $imageTransformsInterpolated.translation, $imageTransforms.rotation.z, $imageTransformsInterpolated.scale, $imageFlipX, $imageFlipY));\n\t\t}\n\t};\n\n\treturn [\n\t\tisActive,\n\t\tisActiveFraction,\n\t\tisVisible,\n\t\tstores,\n\t\tlocale,\n\t\tmarkupEditorWillStartInteraction,\n\t\t$imageFlipY,\n\t\t$imageFlipX,\n\t\tmapImagePointToScreenPoint,\n\t\tmapScreenPointToImagePoint,\n\t\t$imageRotation,\n\t\timageRedaction,\n\t\trootRect,\n\t\timageSize,\n\t\timageRotation,\n\t\timageFlipX,\n\t\timageFlipY,\n\t\timageTransforms,\n\t\timageTransformsInterpolated,\n\t\tname,\n\t\t$imageTransformsInterpolated,\n\t\t$imageTransforms,\n\t\t$imageSize,\n\t\t$rootRect,\n\t\tfunc,\n\t\tmeasure_handler\n\t];\n}\n\nclass Redact extends SvelteComponent {\n\tconstructor(options) {\n\t\tsuper();\n\n\t\tinit(this, options, instance$2, create_fragment$2, safe_not_equal, {\n\t\t\tname: 19,\n\t\t\tisActive: 0,\n\t\t\tisActiveFraction: 1,\n\t\t\tisVisible: 2,\n\t\t\tstores: 3,\n\t\t\tlocale: 4,\n\t\t\tmarkupEditorWillStartInteraction: 5\n\t\t});\n\t}\n\n\tget name() {\n\t\treturn this.$$.ctx[19];\n\t}\n\n\tget isActive() {\n\t\treturn this.$$.ctx[0];\n\t}\n\n\tset isActive(isActive) {\n\t\tthis.$$set({ isActive });\n\t\tflush();\n\t}\n\n\tget isActiveFraction() {\n\t\treturn this.$$.ctx[1];\n\t}\n\n\tset isActiveFraction(isActiveFraction) {\n\t\tthis.$$set({ isActiveFraction });\n\t\tflush();\n\t}\n\n\tget isVisible() {\n\t\treturn this.$$.ctx[2];\n\t}\n\n\tset isVisible(isVisible) {\n\t\tthis.$$set({ isVisible });\n\t\tflush();\n\t}\n\n\tget stores() {\n\t\treturn this.$$.ctx[3];\n\t}\n\n\tset stores(stores) {\n\t\tthis.$$set({ stores });\n\t\tflush();\n\t}\n\n\tget locale() {\n\t\treturn this.$$.ctx[4];\n\t}\n\n\tset locale(locale) {\n\t\tthis.$$set({ locale });\n\t\tflush();\n\t}\n\n\tget markupEditorWillStartInteraction() {\n\t\treturn this.$$.ctx[5];\n\t}\n\n\tset markupEditorWillStartInteraction(markupEditorWillStartInteraction) {\n\t\tthis.$$set({ markupEditorWillStartInteraction });\n\t\tflush();\n\t}\n}\n\n// @ts-ignore\nvar _plugin_redact = { util: ['redact', Redact, ({ src }) => src && !isVideoFile(src)] };\n\n/* src/core/ui/plugins/fill/index.svelte generated by Svelte v3.52.0 */\n\nfunction create_if_block(ctx) {\n\tlet span;\n\n\tlet t_value = (isFunction(/*option*/ ctx[31].label)\n\t? /*option*/ ctx[31].label(/*locale*/ ctx[1])\n\t: /*option*/ ctx[31].label) + \"\";\n\n\tlet t;\n\n\treturn {\n\t\tc() {\n\t\t\tspan = element(\"span\");\n\t\t\tt = text(t_value);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, span, anchor);\n\t\t\tappend(span, t);\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tif (dirty[0] & /*locale*/ 2 | dirty[1] & /*option*/ 1 && t_value !== (t_value = (isFunction(/*option*/ ctx[31].label)\n\t\t\t? /*option*/ ctx[31].label(/*locale*/ ctx[1])\n\t\t\t: /*option*/ ctx[31].label) + \"\")) set_data(t, t_value);\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(span);\n\t\t}\n\t};\n}\n\n// (135:16) \nfunction create_option_slot(ctx) {\n\tlet div;\n\tlet html_tag;\n\tlet raw_value = (/*getOptionThumb*/ ctx[11](/*option*/ ctx[31].value) || '') + \"\";\n\tlet t;\n\tlet if_block = /*option*/ ctx[31].label && create_if_block(ctx);\n\n\treturn {\n\t\tc() {\n\t\t\tdiv = element(\"div\");\n\t\t\thtml_tag = new HtmlTag(false);\n\t\t\tt = space();\n\t\t\tif (if_block) if_block.c();\n\t\t\thtml_tag.a = t;\n\t\t\tattr(div, \"slot\", \"option\");\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, div, anchor);\n\t\t\thtml_tag.m(raw_value, div);\n\t\t\tappend(div, t);\n\t\t\tif (if_block) if_block.m(div, null);\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tif (dirty[1] & /*option*/ 1 && raw_value !== (raw_value = (/*getOptionThumb*/ ctx[11](/*option*/ ctx[31].value) || '') + \"\")) html_tag.p(raw_value);\n\n\t\t\tif (/*option*/ ctx[31].label) {\n\t\t\t\tif (if_block) {\n\t\t\t\t\tif_block.p(ctx, dirty);\n\t\t\t\t} else {\n\t\t\t\t\tif_block = create_if_block(ctx);\n\t\t\t\t\tif_block.c();\n\t\t\t\t\tif_block.m(div, null);\n\t\t\t\t}\n\t\t\t} else if (if_block) {\n\t\t\t\tif_block.d(1);\n\t\t\t\tif_block = null;\n\t\t\t}\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(div);\n\t\t\tif (if_block) if_block.d();\n\t\t}\n\t};\n}\n\n// (125:8) <Scrollable elasticity={computedScrollElasticity}>\nfunction create_default_slot(ctx) {\n\tlet radiogroup;\n\tlet current;\n\n\tradiogroup = new RadioGroup({\n\t\t\tprops: {\n\t\t\t\tlocale: /*locale*/ ctx[1],\n\t\t\t\tclass: \"PinturaControlList\",\n\t\t\t\tlayout: \"row\",\n\t\t\t\toptions: /*fillOptionsMapped*/ ctx[2],\n\t\t\t\tselectedIndex: /*selectedFillIndex*/ ctx[4],\n\t\t\t\tonchange: /*handleChangeFill*/ ctx[10],\n\t\t\t\t$$slots: {\n\t\t\t\t\toption: [\n\t\t\t\t\t\tcreate_option_slot,\n\t\t\t\t\t\t({ option }) => ({ 31: option }),\n\t\t\t\t\t\t({ option }) => [0, option ? 1 : 0]\n\t\t\t\t\t]\n\t\t\t\t},\n\t\t\t\t$$scope: { ctx }\n\t\t\t}\n\t\t});\n\n\treturn {\n\t\tc() {\n\t\t\tcreate_component(radiogroup.$$.fragment);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tmount_component(radiogroup, target, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tconst radiogroup_changes = {};\n\t\t\tif (dirty[0] & /*locale*/ 2) radiogroup_changes.locale = /*locale*/ ctx[1];\n\t\t\tif (dirty[0] & /*fillOptionsMapped*/ 4) radiogroup_changes.options = /*fillOptionsMapped*/ ctx[2];\n\t\t\tif (dirty[0] & /*selectedFillIndex*/ 16) radiogroup_changes.selectedIndex = /*selectedFillIndex*/ ctx[4];\n\n\t\t\tif (dirty[0] & /*locale*/ 2 | dirty[1] & /*$$scope, option*/ 3) {\n\t\t\t\tradiogroup_changes.$$scope = { dirty, ctx };\n\t\t\t}\n\n\t\t\tradiogroup.$set(radiogroup_changes);\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(radiogroup.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(radiogroup.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tdestroy_component(radiogroup, detaching);\n\t\t}\n\t};\n}\n\n// (124:4) \nfunction create_footer_slot(ctx) {\n\tlet div;\n\tlet scrollable;\n\tlet current;\n\n\tscrollable = new Scrollable({\n\t\t\tprops: {\n\t\t\t\telasticity: /*computedScrollElasticity*/ ctx[5],\n\t\t\t\t$$slots: { default: [create_default_slot] },\n\t\t\t\t$$scope: { ctx }\n\t\t\t}\n\t\t});\n\n\treturn {\n\t\tc() {\n\t\t\tdiv = element(\"div\");\n\t\t\tcreate_component(scrollable.$$.fragment);\n\t\t\tattr(div, \"slot\", \"footer\");\n\t\t\tattr(div, \"style\", /*footerStyle*/ ctx[3]);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, div, anchor);\n\t\t\tmount_component(scrollable, div, null);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tconst scrollable_changes = {};\n\t\t\tif (dirty[0] & /*computedScrollElasticity*/ 32) scrollable_changes.elasticity = /*computedScrollElasticity*/ ctx[5];\n\n\t\t\tif (dirty[0] & /*locale, fillOptionsMapped, selectedFillIndex*/ 22 | dirty[1] & /*$$scope*/ 2) {\n\t\t\t\tscrollable_changes.$$scope = { dirty, ctx };\n\t\t\t}\n\n\t\t\tscrollable.$set(scrollable_changes);\n\n\t\t\tif (!current || dirty[0] & /*footerStyle*/ 8) {\n\t\t\t\tattr(div, \"style\", /*footerStyle*/ ctx[3]);\n\t\t\t}\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(scrollable.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(scrollable.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tif (detaching) detach(div);\n\t\t\tdestroy_component(scrollable);\n\t\t}\n\t};\n}\n\nfunction create_fragment$1(ctx) {\n\tlet util;\n\tlet current;\n\n\tutil = new Util({\n\t\t\tprops: {\n\t\t\t\t$$slots: { footer: [create_footer_slot] },\n\t\t\t\t$$scope: { ctx }\n\t\t\t}\n\t\t});\n\n\tutil.$on(\"measure\", /*measure_handler*/ ctx[22]);\n\n\treturn {\n\t\tc() {\n\t\t\tcreate_component(util.$$.fragment);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tmount_component(util, target, anchor);\n\t\t\tcurrent = true;\n\t\t},\n\t\tp(ctx, dirty) {\n\t\t\tconst util_changes = {};\n\n\t\t\tif (dirty[0] & /*footerStyle, computedScrollElasticity, locale, fillOptionsMapped, selectedFillIndex*/ 62 | dirty[1] & /*$$scope*/ 2) {\n\t\t\t\tutil_changes.$$scope = { dirty, ctx };\n\t\t\t}\n\n\t\t\tutil.$set(util_changes);\n\t\t},\n\t\ti(local) {\n\t\t\tif (current) return;\n\t\t\ttransition_in(util.$$.fragment, local);\n\t\t\tcurrent = true;\n\t\t},\n\t\to(local) {\n\t\t\ttransition_out(util.$$.fragment, local);\n\t\t\tcurrent = false;\n\t\t},\n\t\td(detaching) {\n\t\t\tdestroy_component(util, detaching);\n\t\t}\n\t};\n}\n\nfunction instance$1($$self, $$props, $$invalidate) {\n\tlet fillOptionsMapped;\n\tlet computedScrollElasticity;\n\tlet selectedFillIndex;\n\tlet footerStyle;\n\tlet $footerOffset;\n\n\tlet $isActive,\n\t\t$$unsubscribe_isActive = noop,\n\t\t$$subscribe_isActive = () => ($$unsubscribe_isActive(), $$unsubscribe_isActive = subscribe(isActive, $$value => $$invalidate(17, $isActive = $$value)), isActive);\n\n\tlet $animation;\n\tlet $imageBackgroundImage;\n\tlet $imageBackgroundColor;\n\tlet $elasticityMultiplier;\n\t$$self.$$.on_destroy.push(() => $$unsubscribe_isActive());\n\tconst name = 'fill';\n\tlet { isActive } = $$props;\n\t$$subscribe_isActive();\n\tlet { stores } = $$props;\n\tlet { locale = {} } = $$props;\n\tlet { fillOptions = [] } = $$props;\n\tconst isItemGroup = item => isArray(item) && isString(item[0]) && isArray(item[1]);\n\n\tconst mapItem = item => [\n\t\t// to rgba color\n\t\tArray.isArray(item) && item.length === 3\n\t\t? [...item, 1]\n\t\t: item,\n\t\tundefined,\n\t\t{ disabled: false }\n\t];\n\n\tconst mapItems = items => items.map(item => {\n\t\tif (isItemGroup(item)) {\n\t\t\treturn [item[0], mapItems(item[1]), item[2]];\n\t\t}\n\n\t\treturn mapItem(item);\n\t});\n\n\t//\n\t// context\n\t//\n\tconst elasticityMultiplier = getContext('elasticityMultiplier');\n\n\tcomponent_subscribe($$self, elasticityMultiplier, value => $$invalidate(21, $elasticityMultiplier = value));\n\n\t// connect filter choice to stores\n\tconst { history, animation, scrollElasticity, imageBackgroundColor, imageBackgroundImage, allowPan, allowZoom, allowZoomControls } = stores;\n\n\tcomponent_subscribe($$self, animation, value => $$invalidate(18, $animation = value));\n\tcomponent_subscribe($$self, imageBackgroundColor, value => $$invalidate(20, $imageBackgroundColor = value));\n\tcomponent_subscribe($$self, imageBackgroundImage, value => $$invalidate(19, $imageBackgroundImage = value));\n\n\tconst handleChangeFill = ({ value }) => {\n\t\tif (isString(value)) {\n\t\t\tset_store_value(imageBackgroundColor, $imageBackgroundColor = undefined, $imageBackgroundColor);\n\t\t\tset_store_value(imageBackgroundImage, $imageBackgroundImage = value, $imageBackgroundImage);\n\t\t}\n\n\t\tif (isArray(value)) {\n\t\t\tset_store_value(imageBackgroundColor, $imageBackgroundColor = value, $imageBackgroundColor);\n\t\t\tset_store_value(imageBackgroundImage, $imageBackgroundImage = undefined, $imageBackgroundImage);\n\t\t}\n\n\t\t// store\n\t\thistory.write();\n\t};\n\n\tconst getOptionThumb = value => {\n\t\tif (isString(value)) {\n\t\t\treturn `<div class=\"PinturaFillTile\"><img src=\"${value}\" alt=\"\" width=\"48\" height=\"64\"/></div>`;\n\t\t}\n\n\t\tif (isArray(value)) {\n\t\t\tconst [r, g, b, a] = value.map((v, i) => i < 3 ? Math.round(v * 255) : v);\n\t\t\treturn `<div class=\"PinturaFillTile\" data-transparent=\"${a < 1}\"><div style=\"background-color:rgba(${r},${g},${b},${a})\"></div></div>`;\n\t\t}\n\n\t\treturn `<div></div>`;\n\t};\n\n\t//\n\t// Footer style\n\t//\n\tconst footerOffset = spring($animation ? 20 : 0);\n\n\tcomponent_subscribe($$self, footerOffset, value => $$invalidate(16, $footerOffset = value));\n\n\tfunction measure_handler(event) {\n\t\tbubble.call(this, $$self, event);\n\t}\n\n\t$$self.$$set = $$props => {\n\t\tif ('isActive' in $$props) $$subscribe_isActive($$invalidate(0, isActive = $$props.isActive));\n\t\tif ('stores' in $$props) $$invalidate(14, stores = $$props.stores);\n\t\tif ('locale' in $$props) $$invalidate(1, locale = $$props.locale);\n\t\tif ('fillOptions' in $$props) $$invalidate(15, fillOptions = $$props.fillOptions);\n\t};\n\n\t$$self.$$.update = () => {\n\t\tif ($$self.$$.dirty[0] & /*fillOptions*/ 32768) {\n\t\t\t$$invalidate(2, fillOptionsMapped = mapItems(fillOptions));\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*$isActive*/ 131072) {\n\t\t\t// enable pan and zoom\n\t\t\tallowPan.set($isActive);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*$isActive*/ 131072) {\n\t\t\tallowZoom.set($isActive);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*$isActive*/ 131072) {\n\t\t\tallowZoomControls.set($isActive);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*$elasticityMultiplier*/ 2097152) {\n\t\t\t//\n\t\t\t// scroll components\n\t\t\t//\n\t\t\t$$invalidate(5, computedScrollElasticity = $elasticityMultiplier * scrollElasticity);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*fillOptionsMapped, $imageBackgroundImage, $imageBackgroundColor*/ 1572868) {\n\t\t\t// we check background image first as [0,0,0,0] is background color default value so otherwise images are never selected\n\t\t\t$$invalidate(4, selectedFillIndex = fillOptionsMapped.findIndex(([value]) => {\n\t\t\t\tif ($imageBackgroundImage) {\n\t\t\t\t\treturn value === $imageBackgroundImage;\n\t\t\t\t}\n\n\t\t\t\tif (Array.isArray(value)) {\n\t\t\t\t\treturn arrayEqual(value, $imageBackgroundColor);\n\t\t\t\t}\n\t\t\t}) || 0);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*$animation, $isActive*/ 393216) {\n\t\t\t$animation && footerOffset.set($isActive ? 0 : 20);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*$footerOffset*/ 65536) {\n\t\t\t$$invalidate(3, footerStyle = $footerOffset\n\t\t\t? `transform: translateY(${$footerOffset}px)`\n\t\t\t: undefined);\n\t\t}\n\t};\n\n\treturn [\n\t\tisActive,\n\t\tlocale,\n\t\tfillOptionsMapped,\n\t\tfooterStyle,\n\t\tselectedFillIndex,\n\t\tcomputedScrollElasticity,\n\t\telasticityMultiplier,\n\t\tanimation,\n\t\timageBackgroundColor,\n\t\timageBackgroundImage,\n\t\thandleChangeFill,\n\t\tgetOptionThumb,\n\t\tfooterOffset,\n\t\tname,\n\t\tstores,\n\t\tfillOptions,\n\t\t$footerOffset,\n\t\t$isActive,\n\t\t$animation,\n\t\t$imageBackgroundImage,\n\t\t$imageBackgroundColor,\n\t\t$elasticityMultiplier,\n\t\tmeasure_handler\n\t];\n}\n\nclass Fill extends SvelteComponent {\n\tconstructor(options) {\n\t\tsuper();\n\n\t\tinit(\n\t\t\tthis,\n\t\t\toptions,\n\t\t\tinstance$1,\n\t\t\tcreate_fragment$1,\n\t\t\tsafe_not_equal,\n\t\t\t{\n\t\t\t\tname: 13,\n\t\t\t\tisActive: 0,\n\t\t\t\tstores: 14,\n\t\t\t\tlocale: 1,\n\t\t\t\tfillOptions: 15\n\t\t\t},\n\t\t\tnull,\n\t\t\t[-1, -1]\n\t\t);\n\t}\n\n\tget name() {\n\t\treturn this.$$.ctx[13];\n\t}\n\n\tget isActive() {\n\t\treturn this.$$.ctx[0];\n\t}\n\n\tset isActive(isActive) {\n\t\tthis.$$set({ isActive });\n\t\tflush();\n\t}\n\n\tget stores() {\n\t\treturn this.$$.ctx[14];\n\t}\n\n\tset stores(stores) {\n\t\tthis.$$set({ stores });\n\t\tflush();\n\t}\n\n\tget locale() {\n\t\treturn this.$$.ctx[1];\n\t}\n\n\tset locale(locale) {\n\t\tthis.$$set({ locale });\n\t\tflush();\n\t}\n\n\tget fillOptions() {\n\t\treturn this.$$.ctx[15];\n\t}\n\n\tset fillOptions(fillOptions) {\n\t\tthis.$$set({ fillOptions });\n\t\tflush();\n\t}\n}\n\n// @ts-ignore\nvar _plugin_fill = {\n    util: [\n        'fill',\n        Fill,\n        ({ src, fillOptions }) => \n        // src needs to be an image\n        src &&\n            !isVideoFile(src) &&\n            // fill options need to be defined\n            fillOptions &&\n            fillOptions.length,\n    ],\n};\n\nconst IconCross =\n    '<g fill=\"none\" fill-rule=\"evenodd\" stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke=\"currentColor\" stroke-width=\".125em\"><path d=\"M18 6L6 18M6 6l12 12\"></path></path></g>';\n\nconst CharacterA =\n    '<path fill=\"none\" d=\"M9 15 L12 9 L15 15 M10 13.5 h3\" stroke=\"currentColor\" stroke-width=\".125em\"/>';\n\nvar _locale_en_gb = {\n    // generic\n    labelReset: 'Reset',\n    labelDefault: 'Default',\n    labelAuto: 'Auto',\n    labelNone: 'None',\n    labelEdit: 'Edit',\n    labelClose: 'Close',\n    labelSupportError: (features) => `${features.join(', ')} not supported on this browser`,\n\n    // defaults\n    labelColor: 'Color',\n    labelWidth: 'Width',\n    labelSize: 'Size',\n    labelOffset: 'Offset',\n    labelAmount: 'Amount',\n    labelInset: 'Inset',\n    labelRadius: 'Radius',\n\n    // controls\n    labelColorPalette: 'Color palette',\n\n    // sizes\n    labelSizeExtraSmall: 'Extra small',\n    labelSizeSmall: 'Small',\n    labelSizeMediumSmall: 'Medium small',\n    labelSizeMedium: 'Medium',\n    labelSizeMediumLarge: 'Medium large',\n    labelSizeLarge: 'Large',\n    labelSizeExtraLarge: 'Extra large',\n\n    // default buttons\n\n    labelButtonCancel: 'Cancel',\n    labelButtonUndo: 'Undo',\n    labelButtonRedo: 'Redo',\n    labelButtonRevert: 'Revert',\n    labelButtonExport: 'Done',\n\n    // zoom\n    labelZoomIn: 'Zoom in',\n    labelZoomOut: 'Zoom out',\n    labelZoomFit: 'Fit to view',\n    labelZoomActual: 'Actual size',\n    iconZoomIn: '<path stroke=\"currentColor\" stroke-width=\".125em\" d=\"M8 12 h8 M12 8 v8\" />',\n    iconZoomOut: '<path stroke=\"currentColor\" stroke-width=\".125em\" d=\"M9 12 h6\" />',\n\n    // icons\n    iconSupportError: `<g fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\"><path d=\"M10.29 3.86L1.82 18a2 2 0 0 0 1.71 3h16.94a2 2 0 0 0 1.71-3L13.71 3.86a2 2 0 0 0-3.42 0z\"/><g><line x1=\"12\" y1=\"9\" x2=\"12\" y2=\"13\"/><line x1=\"12\" y1=\"17\" x2=\"12.01\" y2=\"17\"/></g>`,\n    iconButtonClose: IconCross,\n    iconButtonRevert: `<g fill=\"none\" fill-rule=\"evenodd\" stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke=\"currentColor\" stroke-width=\".125em\"><path d=\"M7.388 18.538a8 8 0 10-2.992-9.03\"/><path fill=\"currentColor\" d=\"M2.794 11.696L2.37 6.714l5.088 3.18z\"/><path d=\"M12 8v4M12 12l4 2\"/></g>`,\n    iconButtonUndo: `<g fill=\"none\" fill-rule=\"evenodd\" stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke=\"currentColor\" stroke-width=\".125em\"><path d=\"M10 8h4c2.485 0 5 2 5 5s-2.515 5-5 5h-4\"/><path fill=\"currentColor\" d=\"M5 8l4-3v6z\"/></g>`,\n    iconButtonRedo: `<g fill=\"none\" fill-rule=\"evenodd\" stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke=\"currentColor\" stroke-width=\".125em\"><path d=\"M14 8h-4c-2.485 0-5 2-5 5s2.515 5 5 5h4\"/><path fill=\"currentColor\" d=\"M19 8l-4-3v6z\"/></g>`,\n    iconButtonExport: `<polyline points=\"20 6 9 17 4 12\" fill=\"none\" stroke=\"currentColor\" stroke-width=\".125em\"></polyline>`,\n\n    // status\n    statusLabelButtonClose: 'Close',\n    statusIconButtonClose: IconCross,\n    statusLabelLoadImage: (state) => {\n        if (!state || !state.task) return 'Waiting for image';\n        if (state.error)\n            return state.error.code === 'IMAGE_TOO_SMALL'\n                ? 'Minimum image size is {minWidth} &times; {minHeight}'\n                : 'Error loading image';\n        if (state.task === 'blob-to-bitmap') return 'Preparing image&hellip;';\n        return 'Loading image&hellip;';\n    },\n\n    // processing status message\n    statusLabelProcessImage: (state) => {\n        if (!state || !state.task) return undefined;\n        if (state.task === 'store') {\n            if (state.error) return 'Error uploading image';\n            return 'Uploading image&hellip;';\n        }\n        if (state.error) return 'Error processing image';\n        return 'Processing image&hellip;';\n    },\n};\n\nconst MarkupEditor = {\n    shapeLabelButtonSelectSticker: 'Select image',\n    shapeIconButtonSelectSticker: `<g fill=\"none\" stroke=\"currentColor\" stroke-width=\"0.0625em\"><path d=\"M8 21 L15 11 L19 15\"/><path d=\"M15 2 v5 h5\"/><path d=\"M8 2 h8 l4 4 v12 q0 4 -4 4 h-8 q-4 0 -4 -4 v-12 q0 -4 4 -4z\"/></g><circle fill=\"currentColor\" cx=\"10\" cy=\"8\" r=\"1.5\"/>`,\n\n    shapeIconButtonFlipHorizontal: `<g stroke=\"currentColor\" stroke-width=\".125em\"><path fill=\"none\" d=\"M6 6.5h5v11H6z\"/><path fill=\"currentColor\" d=\"M15 6.5h3v11h-3z\"/><path d=\"M11 4v16\" fill=\"currentColor\"/></g>`,\n    shapeIconButtonFlipVertical: `<g stroke=\"currentColor\" stroke-width=\".125em\"><rect x=\"7\" y=\"8\" width=\"11\" height=\"5\" fill=\"none\"/><rect x=\"7\" y=\"17\" width=\"11\" height=\"2\" fill=\"currentColor\"/><line x1=\"5\" y1=\"13\" x2=\"20\" y2=\"13\"/></g>`,\n    shapeIconButtonRemove: `<g fill=\"none\" fill-rule=\"evenodd\"><path stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M7.5 7h9z\"/><path d=\"M7.916 9h8.168a1 1 0 01.99 1.14l-.972 6.862a2 2 0 01-1.473 1.653c-.877.23-1.753.345-2.629.345-.876 0-1.752-.115-2.628-.345a2 2 0 01-1.473-1.653l-.973-6.862A1 1 0 017.916 9z\" fill=\"currentColor\"/><rect fill=\"currentColor\" x=\"10\" y=\"5\" width=\"4\" height=\"3\" rx=\"1\"/></g>`,\n    shapeIconButtonDuplicate: `<g fill=\"none\" fill-rule=\"evenodd\"><path d=\"M15 13.994V16a2 2 0 01-2 2H8a2 2 0 01-2-2v-5a2 2 0 012-2h2.142\" stroke=\"currentColor\" stroke-width=\".125em\"/><path d=\"M15 9V8a1 1 0 00-2 0v1h-1a1 1 0 000 2h1v1a1 1 0 002 0v-1h1a1 1 0 000-2h-1zm-4-4h6a2 2 0 012 2v6a2 2 0 01-2 2h-6a2 2 0 01-2-2V7a2 2 0 012-2z\" fill=\"currentColor\"/></g>`,\n    shapeIconButtonMoveToFront: `<g fill=\"none\" fill-rule=\"evenodd\"><rect fill=\"currentColor\" x=\"11\" y=\"13\" width=\"8\" height=\"2\" rx=\"1\"/><rect fill=\"currentColor\" x=\"9\" y=\"17\" width=\"10\" height=\"2\" rx=\"1\"/><path d=\"M11.364 8H10a5 5 0 000 10M12 6.5L14.5 8 12 9.5z\" stroke=\"currentColor\" stroke-width=\".125em\" stroke-linecap=\"round\"/></g>`,\n\n    shapeIconButtonTextLayoutAutoWidth: `${CharacterA}`,\n    shapeIconButtonTextLayoutAutoHeight: `<g fill=\"currentColor\"><circle cx=\"4\" cy=\"12\" r=\"1.5\"/><circle cx=\"20\" cy=\"12\" r=\"1.5\"/></g>${CharacterA}`,\n    shapeIconButtonTextLayoutFixedSize: `<g fill=\"currentColor\"><circle cx=\"5\" cy=\"6\" r=\"1.5\"/><circle cx=\"19\" cy=\"6\" r=\"1.5\"/><circle cx=\"19\" cy=\"19\" r=\"1.5\"/><circle cx=\"5\" cy=\"19\" r=\"1.5\"/></g>${CharacterA}`,\n\n    shapeTitleButtonTextLayoutAutoWidth: 'Auto width',\n    shapeTitleButtonTextLayoutAutoHeight: 'Auto height',\n    shapeTitleButtonTextLayoutFixedSize: 'Fixed size',\n\n    shapeTitleButtonFlipHorizontal: 'Flip Horizontal',\n    shapeTitleButtonFlipVertical: 'Flip Vertical',\n    shapeTitleButtonRemove: 'Remove',\n    shapeTitleButtonDuplicate: 'Duplicate',\n    shapeTitleButtonMoveToFront: 'Move to front',\n\n    shapeLabelInputText: 'Edit text',\n\n    shapeIconInputCancel: `<g fill=\"none\" fill-rule=\"evenodd\" stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke=\"currentColor\" stroke-width=\".125em\"><path d=\"M18 6L6 18M6 6l12 12\"/></g>`,\n    shapeIconInputConfirm: `<g fill=\"none\" fill-rule=\"evenodd\" stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke=\"currentColor\" stroke-width=\".125em\"><polyline points=\"20 6 9 17 4 12\"/></g>`,\n    shapeLabelInputCancel: 'Cancel',\n    shapeLabelInputConfirm: 'Confirm',\n\n    shapeLabelStrokeNone: 'No outline',\n\n    shapeLabelFontStyleNormal: 'Normal',\n    shapeLabelFontStyleBold: 'Bold',\n    shapeLabelFontStyleItalic: 'Italic',\n    shapeLabelFontStyleItalicBold: 'Bold Italic',\n\n    shapeTitleBackgroundColor: 'Fill color',\n\n    shapeTitleCornerRadius: 'Corner radius',\n\n    shapeTitleFontFamily: 'Font',\n    shapeTitleFontSize: 'Font size',\n    shapeTitleFontStyle: 'Font style',\n    shapeTitleLineHeight: 'Line height',\n\n    shapeTitleLineStart: 'Start',\n    shapeTitleLineEnd: 'End',\n    shapeTitleStrokeWidth: 'Line width',\n    shapeTitleStrokeColor: 'Line color',\n\n    shapeTitleLineDecorationBar: 'Bar',\n    shapeTitleLineDecorationCircle: 'Circle',\n    shapeTitleLineDecorationSquare: 'Square',\n    shapeTitleLineDecorationArrow: 'Arrow',\n    shapeTitleLineDecorationCircleSolid: 'Circle solid',\n    shapeTitleLineDecorationSquareSolid: 'Square solid',\n    shapeTitleLineDecorationArrowSolid: 'Arrow solid',\n\n    shapeIconLineDecorationBar: `<g stroke=\"currentColor\" stroke-linecap=\"round\" stroke-width=\".125em\"><path d=\"M5,12 H16\"/><path d=\"M16,8 V16\"/></g>`,\n    shapeIconLineDecorationCircle: `<g stroke=\"currentColor\" stroke-linecap=\"round\"><path stroke-width=\".125em\" d=\"M5,12 H12\"/><circle fill=\"none\" stroke-width=\".125em\" cx=\"16\" cy=\"12\" r=\"4\"/></g>`,\n    shapeIconLineDecorationSquare: `<g stroke=\"currentColor\" stroke-linecap=\"round\"><path stroke-width=\".125em\" d=\"M5,12 H12\"/><rect fill=\"none\" stroke-width=\".125em\" x=\"12\" y=\"8\" width=\"8\" height=\"8\"/></g>`,\n    shapeIconLineDecorationArrow: `<g stroke=\"currentColor\" stroke-linecap=\"round\" stroke-width=\".125em\"><path d=\"M5,12 H16 M13,7 l6,5 l-6,5\" fill=\"none\"/></g>`,\n    shapeIconLineDecorationCircleSolid: `<g stroke=\"currentColor\" stroke-linecap=\"round\"><path stroke-width=\".125em\" d=\"M5,12 H12\"/><circle fill=\"currentColor\" cx=\"16\" cy=\"12\" r=\"4\"/></g>`,\n    shapeIconLineDecorationSquareSolid: `<g stroke=\"currentColor\" stroke-linecap=\"round\"><path stroke-width=\".125em\" d=\"M5,12 H12\"/><rect fill=\"currentColor\" x=\"12\" y=\"8\" width=\"8\" height=\"8\"/></g>`,\n    shapeIconLineDecorationArrowSolid: `<g stroke=\"currentColor\" stroke-linecap=\"round\" stroke-width=\".125em\"><path d=\"M5,12 H16\"/><path d=\"M13,7 l6,5 l-6,5z\" fill=\"currentColor\"/></g>`,\n\n    shapeTitleColorTransparent: 'Transparent',\n    shapeTitleColorWhite: 'White',\n    shapeTitleColorSilver: 'Silver',\n    shapeTitleColorGray: 'Gray',\n    shapeTitleColorBlack: 'Black',\n    shapeTitleColorNavy: 'Navy',\n    shapeTitleColorBlue: 'Blue',\n    shapeTitleColorAqua: 'Aqua',\n    shapeTitleColorTeal: 'Teal',\n    shapeTitleColorOlive: 'Olive',\n    shapeTitleColorGreen: 'Green',\n    shapeTitleColorYellow: 'Yellow',\n    shapeTitleColorOrange: 'Orange',\n    shapeTitleColorRed: 'Red',\n    shapeTitleColorMaroon: 'Maroon',\n    shapeTitleColorFuchsia: 'Fuchsia',\n    shapeTitleColorPurple: 'Purple',\n\n    shapeTitleTextColor: 'Font color',\n    shapeTitleTextAlign: 'Text align',\n    shapeTitleTextAlignLeft: 'Left align text',\n    shapeTitleTextAlignCenter: 'Center align text',\n    shapeTitleTextAlignRight: 'Right align text',\n\n    shapeIconTextAlignLeft: `<g stroke-width=\".125em\" stroke=\"currentColor\"><line x1=\"5\" y1=\"8\" x2=\"15\" y2=\"8\"/><line x1=\"5\" y1=\"12\" x2=\"19\" y2=\"12\"/><line x1=\"5\" y1=\"16\" x2=\"14\" y2=\"16\"/></g>`,\n    shapeIconTextAlignCenter: `<g stroke-width=\".125em\" stroke=\"currentColor\"><line x1=\"7\" y1=\"8\" x2=\"17\" y2=\"8\"/><line x1=\"5\" y1=\"12\" x2=\"19\" y2=\"12\"/><line x1=\"8\" y1=\"16\" x2=\"16\" y2=\"16\"/></g>`,\n    shapeIconTextAlignRight: `<g stroke-width=\".125em\" stroke=\"currentColor\"><line x1=\"9\" y1=\"8\" x2=\"19\" y2=\"8\"/><line x1=\"5\" y1=\"12\" x2=\"19\" y2=\"12\"/><line x1=\"11\" y1=\"16\" x2=\"19\" y2=\"16\"/></g>`,\n\n    shapeLabelToolMove: 'Move',\n    shapeLabelToolView: 'View',\n    shapeLabelToolSharpie: 'Sharpie',\n    shapeLabelToolEraser: 'Eraser',\n    shapeLabelToolPath: 'Path',\n    shapeLabelToolRectangle: 'Rectangle',\n    shapeLabelToolEllipse: 'Ellipse',\n    shapeLabelToolArrow: 'Arrow',\n    shapeLabelToolLine: 'Line',\n    shapeLabelToolText: 'Text',\n    shapeLabelToolPreset: 'Stickers',\n\n    shapeIconToolView: `<g stroke-width=\".125em\" stroke=\"currentColor\" fill=\"none\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M10.98 9.703V2.567c0-1.19 1.19-1.785 1.784-1.785.595 0 1.784.595 1.784 1.785v3.568\"/><path d=\"M14.548 9.703V4.35c0-1.19 1.19-1.784 1.784-1.784.595 0 1.784.594 1.784 1.784v2.973\"/><path d=\"M18.116 10.244V7.271c0-1.19 1.19-1.784 1.784-1.784.595 0 1.785.595 1.785 1.784 0 1.19 0 8.92-1.19 12.488-1.19 3.569-10.704 4.758-13.678 0-2.973-4.757-2.973-4.757-4.163-6.541-1.189-1.784-1.153-2.974-.594-3.568.558-.595 1.784-1.19 2.973.594 1.277 1.916 2.07 2.907 2.379 2.974V5.487c0-1.19 1.19-1.784 1.784-1.784.595 0 1.784.595 1.784 1.784V8.46\"/></g>`,\n    shapeIconToolMove: `<g stroke-width=\".125em\" stroke=\"currentColor\" fill=\"none\"><path d=\"M6 2 L6 19 L18 13 Z M13 18 L16 24\" stroke=\"currentColor\" stroke-width=\".125em\" fill=\"none\" fill-rule=\"evenodd\" stroke-linejoin=\"round\"/></g>`,\n    shapeIconToolSharpie: `<g stroke-width=\".125em\" stroke=\"currentColor\" fill=\"none\"><path d=\"M2.025 5c5.616-2.732 8.833-3.857 9.65-3.374C12.903 2.351.518 12.666 2.026 14 3.534 15.334 16.536.566 17.73 2.566 18.924 4.566 3.98 17.187 4.831 18c.851.813 9.848-6 11.643-6 1.087 0-2.53 5.11-2.92 7-.086.41 3.323-1.498 4.773-1 .494.17.64 2.317 1.319 3 .439.443 1.332.776 2.679 1\" stroke=\"currentColor\" stroke-width=\".125em\" fill=\"none\" fill-rule=\"evenodd\" stroke-linejoin=\"round\"/></g>`,\n    shapeIconToolEraser: `<g stroke-width=\".125em\" stroke=\"currentColor\" stroke-linecap=\"round\" fill=\"none\"><g transform=\"translate(3, 15) rotate(-45)\"><rect x=\"0\" y=\"0\" width=\"18\" height=\"10\" rx=\"3\"/></g><line x1=\"11\" y1=\"21\" x2=\"18\" y2=\"21\"/><line x1=\"20\" y1=\"21\" x2=\"22\" y2=\"21\"/></g>`,\n    shapeIconToolPath: `<g stroke-width=\".125em\" stroke=\"currentColor\" stroke-linecap=\"round\" stroke-linejoin=\"round\" fill=\"none\"><circle cx=\"21\" cy=\"3\" r=\"2\"/><circle cx=\"9\" cy=\"9\" r=\"2\"/><circle cx=\"3\" cy=\"21\" r=\"2\"/><path d=\"M19 4 11 8 M8 11 4 19\"/></g>`,\n    shapeIconToolRectangle: `<g stroke-width=\".125em\" stroke=\"currentColor\" fill=\"none\"><rect x=\"2\" y=\"2\" width=\"20\" height=\"20\" rx=\"3\"/></g>`,\n    shapeIconToolEllipse: `<g stroke-width=\".125em\" stroke=\"currentColor\" fill=\"none\"><circle cx=\"12\" cy=\"12\" r=\"11\"/></g>`,\n    shapeIconToolArrow: `<g stroke-width=\".125em\" stroke=\"currentColor\" fill=\"none\"><line x1=\"20\" y1=\"3\" x2=\"6\" y2=\"21\"/><path d=\"m10 6 L21.5 1 L20 13.5\" fill=\"currentColor\" stroke=\"none\"/></g>`,\n    shapeIconToolLine: `<g stroke-width=\".125em\" stroke=\"currentColor\" fill=\"none\"><line x1=\"20\" y1=\"3\" x2=\"6\" y2=\"21\"/></g>`,\n    shapeIconToolText: `<g stroke=\"none\" fill=\"currentColor\" transform=\"translate(6,0)\"><path d=\"M8.14 20.085c.459 0 .901-.034 1.329-.102a8.597 8.597 0 001.015-.21v1.984c-.281.135-.695.247-1.242.336a9.328 9.328 0 01-1.477.133c-3.312 0-4.968-1.745-4.968-5.235V6.804H.344v-1.25l2.453-1.078L3.89.819h1.5v3.97h4.97v2.015H5.39v10.078c0 1.031.245 1.823.735 2.375s1.161.828 2.015.828z\"/>`,\n    shapeIconToolPreset: `<g fill=\"none\" stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke=\"currentColor\" stroke-width=\".125em\"><path d=\"M12 22c2.773 0 1.189-5.177 3-7 1.796-1.808 7-.25 7-3 0-5.523-4.477-10-10-10S2 6.477 2 12s4.477 10 10 10z\"></path><path d=\"M20 17c-3 3-5 5-8 5\"></path></g>`,\n};\n\nvar _plugin_crop_locale_en_gb = {\n    cropLabel: 'Crop',\n    cropIcon:\n        '<g stroke-width=\".125em\" stroke=\"currentColor\" fill=\"none\"><path d=\"M23 17H9a2 2 0 0 1-2-2v-5m0-3V1 M1 7h14a2 2 0 0 1 2 2v7m0 4v3\"/></g>',\n    cropIconButtonRecenter: `<path stroke=\"currentColor\" fill=\"none\" stroke-width=\"2\" stroke-linejoin=\"bevel\" d=\"M1.5 7.5v-6h6M1.5 16.5v6h6M22.5 16.5v6h-6M22.5 7.5v-6h-6\"/><circle cx=\"12\" cy=\"12\" r=\"3.5\" fill=\"currentColor\" stroke=\"none\"/>`,\n    cropIconButtonRotateLeft:\n        '<g stroke=\"none\" fill=\"currentColor\"><path fill=\"none\" d=\"M-1-1h582v402H-1z\"/><rect x=\"3\" rx=\"1\" height=\"12\" width=\"12\" y=\"9\"/><path d=\"M15 5h-1a5 5 0 015 5 1 1 0 002 0 7 7 0 00-7-7h-1.374l.747-.747A1 1 0 0011.958.84L9.603 3.194a1 1 0 000 1.415l2.355 2.355a1 1 0 001.415-1.414l-.55-.55H15z\"/></g>',\n    cropIconButtonRotateRight:\n        '<g stroke=\"none\" fill=\"currentColor\"><path fill=\"none\" d=\"M-1-1h582v402H-1z\"/><path d=\"M11.177 5H10a5 5 0 00-5 5 1 1 0 01-2 0 7 7 0 017-7h1.374l-.747-.747A1 1 0 0112.042.84l2.355 2.355a1 1 0 010 1.415l-2.355 2.354a1 1 0 01-1.415-1.414l.55-.55z\"/><rect rx=\"1\" height=\"12\" width=\"12\" y=\"9\" x=\"9\"/></g>',\n    cropIconButtonFlipVertical:\n        '<g stroke=\"none\" fill=\"currentColor\"><path d=\"M19.993 12.143H7a1 1 0 0 1-1-1V5.994a1 1 0 0 1 1.368-.93l12.993 5.15a1 1 0 0 1-.368 1.93z\"/><path d=\"M19.993 14a1 1 0 0 1 .368 1.93L7.368 21.078A1 1 0 0 1 6 20.148V15a1 1 0 0 1 1-1h12.993z\" opacity=\".6\"/></g>',\n    cropIconButtonFlipHorizontal:\n        '<g stroke=\"none\" fill=\"currentColor\"><path d=\"M11.93 7.007V20a1 1 0 0 1-1 1H5.78a1 1 0 0 1-.93-1.368l5.15-12.993a1 1 0 0 1 1.929.368z\"/><path d=\"M14 7.007V20a1 1 0 0 0 1 1h5.149a1 1 0 0 0 .93-1.368l-5.15-12.993A1 1 0 0 0 14 7.007z\" opacity=\".6\"/></g>',\n\n    cropIconSelectPreset: (locale, aspectRatio) => {\n        const [a, b, c] = !aspectRatio\n            ? [0.2, 0.3, 0.4]\n            : [\n                  aspectRatio < 1 ? 1 : 0.3,\n                  aspectRatio === 1 ? 0.85 : 0.5,\n                  aspectRatio > 1 ? 1 : 0.3,\n              ];\n        return `<g fill=\"currentColor\">\n            <rect opacity=\"${a}\" x=\"2\" y=\"4\" width=\"10\" height=\"18\" rx=\"1\"/>\n            <rect opacity=\"${b}\" x=\"4\" y=\"8\" width=\"14\" height=\"14\" rx=\"1\"/>\n            <rect opacity=\"${c}\" x=\"6\" y=\"12\" width=\"17\" height=\"10\" rx=\"1\"/>\n        </g>`;\n    },\n\n    cropIconCropBoundary: (locale, isBoundToImage) => {\n        const [a, b, c, d] = isBoundToImage ? [0.3, 1, 0, 0] : [0, 0, 0.3, 1];\n        return `<g fill=\"currentColor\">\n            <rect opacity=\"${a}\" x=\"2\" y=\"3\" width=\"20\" height=\"20\" rx=\"1\"/>\n            <rect opacity=\"${b}\" x=\"7\" y=\"8\" width=\"10\" height=\"10\" rx=\"1\"/>\n            <rect opacity=\"${c}\" x=\"4\" y=\"8\" width=\"14\" height=\"14\" rx=\"1\"/>\n            <rect opacity=\"${d}\" x=\"12\" y=\"4\" width=\"10\" height=\"10\" rx=\"1\"/>\n        </g>`;\n    },\n\n    cropLabelButtonRecenter: 'Recenter',\n    cropLabelButtonRotateLeft: 'Rotate left',\n    cropLabelButtonRotateRight: 'Rotate right',\n    cropLabelButtonFlipHorizontal: 'Flip horizontal',\n    cropLabelButtonFlipVertical: 'Flip vertical',\n\n    cropLabelSelectPreset: 'Crop shape',\n\n    cropLabelCropBoundary: 'Crop boundary',\n    cropLabelCropBoundaryEdge: 'Edge of image',\n    cropLabelCropBoundaryNone: 'None',\n\n    cropLabelTabRotation: 'Rotation',\n    cropLabelTabZoom: 'Scale',\n};\n\nvar _plugin_fill_locale_en_gb = {\n    fillLabel: 'Fill',\n    fillIcon: `\n    <g fill=\"none\" stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke=\"currentColor\" stroke-width=\".125em\">\n        <g transform=\"rotate(60, 12, 12)\">\n            <rect x=\"4\" y=\"4\" width=\"14\" height=\"16\" rx=\"3\"/>\n        </g>\n        <path d=\"M21 13 L21 21\"></path>\n        <path d=\"M4.5 12.5 L19 12.5\"></path>\n    </g>\n    `,\n};\n\nvar _plugin_filter_locale_en_gb = {\n    filterLabel: 'Filter',\n    filterIcon:\n        '<g stroke-width=\".125em\" stroke=\"currentColor\" fill=\"none\"><path d=\"M18.347 9.907a6.5 6.5 0 1 0-1.872 3.306M3.26 11.574a6.5 6.5 0 1 0 2.815-1.417 M10.15 17.897A6.503 6.503 0 0 0 16.5 23a6.5 6.5 0 1 0-6.183-8.51\"/></g>',\n    filterLabelChrome: 'Chrome',\n    filterLabelFade: 'Fade',\n    filterLabelCold: 'Cold',\n    filterLabelWarm: 'Warm',\n    filterLabelPastel: 'Pastel',\n    filterLabelMonoDefault: 'Mono',\n    filterLabelMonoNoir: 'Noir',\n    filterLabelMonoWash: 'Wash',\n    filterLabelMonoStark: 'Stark',\n    filterLabelSepiaDefault: 'Sepia',\n    filterLabelSepiaBlues: 'Blues',\n    filterLabelSepiaRust: 'Rust',\n    filterLabelSepiaColor: 'Color',\n};\n\nvar _plugin_finetune_locale_en_gb = {\n    finetuneLabel: 'Finetune',\n    finetuneIcon:\n        '<g stroke-width=\".125em\" stroke=\"currentColor\" fill=\"none\"><path d=\"M4 1v5.5m0 3.503V23M12 1v10.5m0 3.5v8M20 1v15.5m0 3.5v3M2 7h4M10 12h4M18 17h4\"/></g>',\n\n    finetuneLabelBrightness: 'Brightness',\n    finetuneLabelContrast: 'Contrast',\n    finetuneLabelSaturation: 'Saturation',\n    finetuneLabelExposure: 'Exposure',\n    finetuneLabelTemperature: 'Temperature',\n    finetuneLabelGamma: 'Gamma',\n    finetuneLabelClarity: 'Clarity',\n    finetuneLabelVignette: 'Vignette',\n};\n\nvar _plugin_resize_locale_en_gb = {\n    resizeLabel: 'Resize',\n    resizeIcon:\n        '<g stroke-width=\".125em\" stroke=\"currentColor\" fill=\"none\"><rect x=\"2\" y=\"12\" width=\"10\" height=\"10\" rx=\"2\"/><path d=\"M4 11.5V4a2 2 0 0 1 2-2h14a2 2 0 0 1 2 2v14a2 2 0 0 1-2 2h-5.5\"/><path d=\"M14 10l3.365-3.365M14 6h4v4\"/></g>',\n\n    resizeLabelFormCaption: 'Image output size',\n\n    resizeLabelInputWidth: 'w',\n    resizeTitleInputWidth: 'Width',\n    resizeLabelInputHeight: 'h',\n    resizeTitleInputHeight: 'Height',\n\n    resizeTitleButtonMaintainAspectRatio: 'Maintain aspectratio',\n\n    resizeIconButtonMaintainAspectRatio: (active, activeFraction) =>\n        `<defs><mask id=\"mask1\" x=\"0\" y=\"0\" width=\"24\" height=\"24\" ><rect x=\"0\" y=\"0\" width=\"24\" height=\"10\" fill=\"#fff\" stroke=\"none\"/></mask></defs><g fill=\"none\" fill-rule=\"evenodd\"><g  mask=\"url(#mask1)\"><path transform=\"translate(0 ${\n            (activeFraction - 1) * 3\n        })\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" d=\"M9.401 10.205v-.804a2.599 2.599 0 0 1 5.198 0V17\"/></g><rect fill=\"currentColor\" x=\"7\" y=\"10\" width=\"10\" height=\"7\" rx=\"1.5\"/></g>`,\n};\n\nvar _plugin_decorate_locale_en_gb = {\n    decorateLabel: 'Decorate',\n    decorateIcon:\n        '<g fill=\"none\" fill-rule=\"evenodd\"><path stroke=\"currentColor\" stroke-width=\".125em\" stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M12 18.5l-6.466 3.4 1.235-7.2-5.23-5.1 7.228-1.05L12 2l3.233 6.55 7.229 1.05-5.231 5.1 1.235 7.2z\"/></g>',\n};\n\nvar _plugin_annotate_locale_en_gb = {\n    annotateLabel: 'Annotate',\n    annotateIcon:\n        '<g stroke-width=\".125em\" stroke=\"currentColor\" fill=\"none\"><path d=\"M17.086 2.914a2.828 2.828 0 1 1 4 4l-14.5 14.5-5.5 1.5 1.5-5.5 14.5-14.5z\"/></g>',\n};\n\nvar _plugin_sticker_locale_en_gb = {\n    stickerLabel: 'Sticker',\n    stickerIcon:\n        '<g fill=\"none\" stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke=\"currentColor\" stroke-width=\".125em\"><path d=\"M12 22c2.773 0 1.189-5.177 3-7 1.796-1.808 7-.25 7-3 0-5.523-4.477-10-10-10S2 6.477 2 12s4.477 10 10 10z\"/><path d=\"M20 17c-3 3-5 5-8 5\"/></g>',\n};\n\nvar _plugin_frame_locale_en_gb = {\n    frameLabel: 'Frame',\n    frameIcon: `<g fill=\"none\" stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke=\"currentColor\" stroke-width=\".125em\">\n            <rect x=\"2\" y=\"2\" width=\"20\" height=\"20\" rx=\"4\"/>\n            <rect x=\"6\" y=\"6\" width=\"12\" height=\"12\" rx=\"1\"/>\n        </g>`,\n\n    frameLabelMatSharp: 'Mat',\n    frameLabelMatRound: 'Bevel',\n    frameLabelLineSingle: 'Line',\n    frameLabelLineMultiple: 'Zebra',\n    frameLabelEdgeSeparate: 'Inset',\n    frameLabelEdgeOverlap: 'Plus',\n    frameLabelEdgeCross: 'Lumber',\n    frameLabelCornerHooks: 'Hook',\n    frameLabelPolaroid: 'Polaroid',\n};\n\nvar _plugin_redact_locale_en_gb = {\n    redactLabel: 'Redact',\n    redactIcon: `<g fill=\"none\" stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke=\"currentColor\" stroke-width=\".125em\"><path d=\"M 4 5 l 1 -1\"/><path d=\"M 4 10 l 6 -6\"/><path d=\"M 4 15 l 11 -11\"/><path d=\"M 4 20 l 16 -16\"/><path d=\"M 9 20 l 11 -11\"/><path d=\"M 14 20 l 6 -6\"/><path d=\"M 19 20 l 1 -1\"/></g>`,\n};\n\nvar hasDefinedCustomElement = (name) => document.createElement(name).constructor !== HTMLElement;\n\nvar linkAccessors = (destination, origin) => {\n    const descriptors = Object.getOwnPropertyDescriptors(destination);\n    Object.keys(descriptors).forEach((key) => {\n        // props, set new setter and getter\n        if (!!descriptors[key]['get']) {\n            Object.defineProperty(origin, key, {\n                get: () => destination[key],\n                set: (value) => (destination[key] = value),\n            });\n        }\n        // method, copy reference\n        else {\n            origin[key] = destination[key];\n        }\n    });\n};\n\nvar hasDoctype = () => isBrowser() && document.doctype !== null;\n\nvar initEditorView = (target) => {\n    const accessors = {};\n    const { sub, pub } = pubsub();\n    // catch missing doctype\n    if (!hasDoctype())\n        console.warn('Browser is in quirks mode, add <!DOCTYPE html> to page to fix render issues');\n    // create editor core\n    const core = createImageEditor();\n    linkAccessors(core, accessors);\n    // create editor view\n    const view = attachEditorView(target, core.stores);\n    linkAccessors(view, accessors);\n    // listen for UI interaction and link to editor API (internals)\n    const unsubs = ['loadImage', 'processImage', 'abortProcessImage', 'abortLoadImage'].map((event) => view.on(event, (e) => {\n        // run core method, if returns a promise, we silence errors as those are passed to the UI via stores\n        const returned = core[event](e && e.detail);\n        if (returned instanceof Promise)\n            returned.catch(noop$1);\n    }));\n    // auto subscribes on each possible publisher\n    const subscribe = (event, cb) => {\n        const unsubInit = sub(event, cb);\n        const unsubCore = core.on(event, cb);\n        const unsubView = view.on(event, cb);\n        return () => {\n            unsubInit();\n            unsubCore();\n            unsubView();\n        };\n    };\n    // handles every event, useful for routing events from the options object\n    accessors.handleEvent = noop$1;\n    const handleEventUnsubs = editorEvents.map((type) => subscribe(type, (res) => accessors.handleEvent(type, res)));\n    // set up new api\n    defineMethods(accessors, {\n        on: subscribe,\n        updateImage: (src) => new Promise((resolve, reject) => {\n            // save history\n            const storedHistory = accessors.history.get();\n            const storedHistoryIndex = accessors.history.index;\n            // save state\n            const storedState = accessors.imageState;\n            // update image\n            core.loadImage(src)\n                .then((res) => {\n                // restore history\n                accessors.history.set(storedHistory);\n                accessors.history.index = storedHistoryIndex;\n                // restore state\n                accessors.imageState = storedState;\n                // done!\n                resolve(res);\n            })\n                .catch(reject);\n        }),\n        close: () => {\n            pub('close');\n        },\n        destroy: () => {\n            // unsub\n            [...unsubs, ...handleEventUnsubs].forEach((unsub) => unsub());\n            // destroy\n            view.destroy();\n            core.destroy();\n            // destroyed\n            pub('destroy');\n        },\n    });\n    setTimeout(() => pub('init', accessors), 0);\n    return accessors;\n};\n\nconst TAG = 'pintura-editor';\nvar _defineCustomElements = () => new Promise((resolve) => {\n    if (!PinturaImageEditorElement)\n        return resolve([]);\n    !hasDefinedCustomElement(TAG) && customElements.define(TAG, PinturaImageEditorElement);\n    customElements.whenDefined(TAG).then(() => resolve(document.querySelectorAll(TAG)));\n});\nconst PinturaImageEditorElement = isBrowser() &&\n    class extends HTMLElement {\n        constructor() {\n            super();\n            this._editor = undefined;\n            this._unsubs = undefined;\n        }\n        static get observedAttributes() {\n            return ['src'];\n        }\n        attributeChangedCallback(attrName, oldValue, newValue) {\n            this[attrName] = newValue;\n        }\n        connectedCallback() {\n            this._editor = initEditorView(this);\n            linkAccessors(this._editor, this);\n            this._editor.src = this.getAttribute('src');\n            this._unsubs = dispatchEditorEvents(this._editor, this);\n        }\n        disconnectedCallback() {\n            this._editor.destroy();\n            this._unsubs.forEach((unsub) => unsub());\n        }\n    };\n\nconst CSS_CLASS_NAME = 'pintura-editor';\nvar _appendEditor = (target, options = {}) => {\n    const element = isString(target)\n        ? document.querySelector(target)\n        : target;\n    if (!isElement(element))\n        return undefined;\n    options.class = options.class ? `${CSS_CLASS_NAME} ${options.class}` : CSS_CLASS_NAME;\n    const accessors = initEditorView(element);\n    return Object.assign(accessors, options);\n};\n\n/* src/core/ui/modal/index.svelte generated by Svelte v3.52.0 */\n\nconst { document: document_1, window: window_1 } = globals;\n\nfunction create_fragment(ctx) {\n\tlet t;\n\tlet div;\n\tlet mounted;\n\tlet dispose;\n\tadd_render_callback(/*onwindowresize*/ ctx[27]);\n\n\treturn {\n\t\tc() {\n\t\t\tt = space();\n\t\t\tdiv = element(\"div\");\n\t\t\tattr(div, \"class\", /*className*/ ctx[4]);\n\t\t\tattr(div, \"style\", /*style*/ ctx[5]);\n\t\t},\n\t\tm(target, anchor) {\n\t\t\tinsert(target, t, anchor);\n\t\t\tinsert(target, div, anchor);\n\t\t\t/*div_binding*/ ctx[28](div);\n\n\t\t\tif (!mounted) {\n\t\t\t\tdispose = [\n\t\t\t\t\tlisten(window_1, \"keydown\", /*handleKey*/ ctx[10]),\n\t\t\t\t\tlisten(window_1, \"orientationchange\", /*spawnMeasureElement*/ ctx[11]),\n\t\t\t\t\tlisten(window_1, \"resize\", /*onwindowresize*/ ctx[27]),\n\t\t\t\t\tlisten(document_1.body, \"focusin\", function () {\n\t\t\t\t\t\tif (is_function(!/*hidden*/ ctx[1] && /*handleFocusIn*/ ctx[7])) (!/*hidden*/ ctx[1] && /*handleFocusIn*/ ctx[7]).apply(this, arguments);\n\t\t\t\t\t}),\n\t\t\t\t\tlisten(document_1.body, \"focusout\", function () {\n\t\t\t\t\t\tif (is_function(/*hasFocussedTextField*/ ctx[2] && /*handleFocusOut*/ ctx[8])) (/*hasFocussedTextField*/ ctx[2] && /*handleFocusOut*/ ctx[8]).apply(this, arguments);\n\t\t\t\t\t}),\n\t\t\t\t\tlisten(div, \"wheel\", /*handleWheel*/ ctx[9], { passive: false })\n\t\t\t\t];\n\n\t\t\t\tmounted = true;\n\t\t\t}\n\t\t},\n\t\tp(new_ctx, dirty) {\n\t\t\tctx = new_ctx;\n\n\t\t\tif (dirty[0] & /*className*/ 16) {\n\t\t\t\tattr(div, \"class\", /*className*/ ctx[4]);\n\t\t\t}\n\n\t\t\tif (dirty[0] & /*style*/ 32) {\n\t\t\t\tattr(div, \"style\", /*style*/ ctx[5]);\n\t\t\t}\n\t\t},\n\t\ti: noop,\n\t\to: noop,\n\t\td(detaching) {\n\t\t\tif (detaching) detach(t);\n\t\t\tif (detaching) detach(div);\n\t\t\t/*div_binding*/ ctx[28](null);\n\t\t\tmounted = false;\n\t\t\trun_all(dispose);\n\t\t}\n\t};\n}\n\nfunction instance($$self, $$props, $$invalidate) {\n\tlet o;\n\tlet viewportRules;\n\tlet isOpaque;\n\tlet isIOSFooterVisible;\n\tlet style;\n\tlet className;\n\tlet scrollsBodyOnInteraction;\n\tlet $opacity;\n\tconst dispatch = createEventDispatcher();\n\tlet { root } = $$props;\n\tlet { preventZoomViewport = true } = $$props;\n\tlet { preventScrollBodyIfNeeded = true } = $$props;\n\tlet { preventFooterOverlapIfNeeded = true } = $$props;\n\tlet { class: klass = undefined } = $$props;\n\tlet hidden = true;\n\tlet hiding = false;\n\tlet showing = false;\n\tlet doc = isBrowser() && document.documentElement;\n\tlet body = isBrowser() && document.body;\n\tlet head = isBrowser() && document.head;\n\tconst opacity = spring(0, { precision: 0.001, damping: 0.5 });\n\tcomponent_subscribe($$self, opacity, value => $$invalidate(26, $opacity = value));\n\n\t// animate hide and show\n\tconst opacityUnsub = opacity.subscribe(o => {\n\t\tif (showing && o >= 1) {\n\t\t\t$$invalidate(19, showing = false); // now shown\n\t\t\t$$invalidate(1, hidden = false);\n\t\t\tdispatch('show');\n\t\t} else if (hiding && o <= 0) {\n\t\t\t$$invalidate(18, hiding = false); // now hidden\n\t\t\t$$invalidate(1, hidden = true);\n\t\t\tdispatch('hide');\n\t\t}\n\t});\n\n\tlet hasFocussedTextField = false;\n\tlet viewportDefaults = undefined;\n\tlet themeDefaults = undefined;\n\tlet showTimeoutId = undefined;\n\tconst getViewPortElement = () => document.querySelector('meta[name=viewport]');\n\tconst getThemeElements = () => Array.from(document.querySelectorAll('meta[name=theme-color]'));\n\n\tconst show = () => {\n\t\t// is visible, or busy becoming visible\n\t\tif (showing || !hidden) return;\n\n\t\t// now in 'showing' transition\n\t\t$$invalidate(19, showing = true);\n\n\t\t// store default viewport element values\n\t\tconst viewportElement = getViewPortElement() || h('meta', { name: 'viewport' });\n\n\t\tviewportDefaults = !viewportDefaults && viewportElement.getAttribute('content');\n\n\t\tviewportElement.setAttribute('content', viewportRules + ((/cover/).test(viewportDefaults)\n\t\t? ',viewport-fit=cover'\n\t\t: ''));\n\n\t\tif (!viewportElement.parentNode) head.append(viewportElement);\n\n\t\t// store default theme element values\n\t\tconst backgroundColor = getComputedStyle(root).getPropertyValue('--color-background');\n\n\t\tconst themeElements = getThemeElements();\n\n\t\tif (themeElements.length) {\n\t\t\t// store defaults\n\t\t\tthemeDefaults = themeElements.map(element => element.getAttribute('content'));\n\t\t} else {\n\t\t\t// create element\n\t\t\tconst themeElement = h('meta', { name: 'theme-color' });\n\n\t\t\thead.append(themeElement);\n\t\t\tthemeElements.push(themeElement);\n\t\t}\n\n\t\t// update colors\n\t\tthemeElements.forEach(element => element.setAttribute('content', `rgb(${backgroundColor})`));\n\n\t\tclearTimeout(showTimeoutId);\n\t\tshowTimeoutId = setTimeout(() => opacity.set(1), 250);\n\t};\n\n\tconst hide = () => {\n\t\t// is hiding or already hidden\n\t\tif (hiding || hidden) return;\n\n\t\t// if previous command was show, we need to prevent the timeout from kicking off\n\t\tclearTimeout(showTimeoutId);\n\n\t\t// now in 'hiding' transition\n\t\t$$invalidate(18, hiding = true);\n\n\t\t// get a reference to the viewport element, it should be there as we created it earlier,\n\t\t// we restore defaults if the viewport metatag was defined, if not, we destroy it\n\t\tconst viewportElement = getViewPortElement();\n\n\t\tif (viewportDefaults) viewportElement.setAttribute('content', viewportDefaults); else viewportElement.remove();\n\n\t\t// restore colors\n\t\tconst themeElements = getThemeElements();\n\n\t\tif (themeDefaults) {\n\t\t\tthemeElements.forEach((element, index) => {\n\t\t\t\telement.setAttribute('content', themeDefaults[index]);\n\t\t\t});\n\t\t} else themeElements.forEach(element => element.remove());\n\n\t\t// let's hide!\n\t\topacity.set(0);\n\t};\n\n\t//\n\t// handle soft keyboard impact on window height\n\t//\n\tlet focusOutTimer;\n\n\tlet focusInWindowHeight;\n\n\tconst handleFocusIn = e => {\n\t\t// test if is text input element\n\t\tif (!isTextField(e.target)) return;\n\n\t\t// now focussing a field\n\t\t$$invalidate(2, hasFocussedTextField = true);\n\n\t\tfocusInWindowHeight = windowHeight;\n\t};\n\n\tconst handleFocusOut = e => {\n\t\t// test if is text input element\n\t\tif (!isTextField(e.target)) return;\n\n\t\t// prevent accidentally setting two timers\n\t\tclearTimeout(focusOutTimer);\n\n\t\t// test if window height changed, if not, no soft keyboard appeared and we can set false to focus state immidiately\n\t\tif (focusInWindowHeight === windowHeight) {\n\t\t\t$$invalidate(2, hasFocussedTextField = false);\n\t\t} else // soft keyboard might have appeared, test for window height change before setting unfocus state\n\t\t{\n\t\t\tconst windowCurrentHeight = windowHeight;\n\t\t\trunWhen(() => windowHeight !== windowCurrentHeight, () => $$invalidate(2, hasFocussedTextField = false));\n\t\t}\n\t};\n\n\tconst runWhen = (test, cb) => {\n\t\tconst frame = () => {\n\t\t\tif (test()) {\n\t\t\t\tcb();\n\t\t\t\treturn;\n\t\t\t}\n\n\t\t\trequestAnimationFrame(frame);\n\t\t};\n\n\t\trequestAnimationFrame(frame);\n\t};\n\n\t//\n\t// end soft keyboard logic\n\t//\n\t// prevent mousewheel from scrolling content behind modal\n\tconst handleWheel = e => {\n\t\tif (e.target && (/PinturaStage/).test(e.target.className)) e.preventDefault();\n\t};\n\n\t// handle escape to close modal\n\tconst handleKey = e => {\n\t\t// get key type\n\t\tconst { key } = e;\n\n\t\t// only deal with escape key\n\t\tif (!(/escape/i).test(key)) return;\n\n\t\t// don't close when in an input or textuarea\n\t\tconst targetElement = e.target;\n\n\t\tif (targetElement && (/input|textarea/i).test(targetElement.nodeName)) return;\n\n\t\t// only close if I'm the top modal\n\t\tconst modals = document.querySelectorAll('.PinturaModal');\n\n\t\tif (modals[modals.length - 1] !== root) return;\n\n\t\t// request close\n\t\tdispatch('close');\n\t};\n\n\t// this logic scales modal to fit viewport height\n\tlet windowHeight = 0;\n\n\tlet windowHeightComputed;\n\n\t// iOS measure actual page height so we can make optional use of available space\n\tlet measureElement;\n\n\tlet measureElementHeight = undefined;\n\n\tconst spawnMeasureElement = () => {\n\t\t// can't spawn more than one\n\t\tif (measureElement) return;\n\n\t\t// create measure element and append to body\n\t\tmeasureElement = h('div', {\n\t\t\tstyle: 'position:fixed;height:100vh;top:0'\n\t\t});\n\n\t\tbody.append(measureElement);\n\t};\n\n\tonMount(() => {\n\t\t// no need to run this logic if is not on iOS\n\t\tif (!preventFooterOverlapIfNeeded || !isIOS()) return;\n\n\t\t// will be used in first read to determine page height and bottom padding\n\t\tspawnMeasureElement();\n\t});\n\n\tafterUpdate(() => {\n\t\t// will only run on iOS\n\t\tif (!measureElement) return;\n\n\t\t// get height and store\n\t\t$$invalidate(21, measureElementHeight = measureElement.offsetHeight);\n\n\t\t// remove measure element\n\t\tmeasureElement.remove();\n\n\t\tmeasureElement = undefined;\n\t});\n\n\t//\n\t// document lock style for iOS 15.0\n\t//\n\tlet scrollOffsetY = undefined;\n\n\t// syncs height of doc lock with window\n\tconst syncHeight = () => doc.style.setProperty('--pintura-document-height', `${window.innerHeight}px`);\n\n\tconst toggleDocumentLock = isOpaque => {\n\t\tif (isOpaque) {\n\t\t\tscrollOffsetY = window.scrollY;\n\n\t\t\t// prevents safari on iOS 15.0 from scrolling body and showing footer on drag interaction\n\t\t\tdoc.classList.add('PinturaDocumentLock');\n\n\t\t\t// need to do this to sync height of initial window\n\t\t\tsyncHeight();\n\n\t\t\t// also sync on resize\n\t\t\twindow.addEventListener('resize', syncHeight);\n\t\t} else {\n\t\t\t// stop syncing height\n\t\t\twindow.removeEventListener('resize', syncHeight);\n\n\t\t\t// clean up\n\t\t\tdoc.classList.remove('PinturaDocumentLock');\n\n\t\t\tisNumber(scrollOffsetY) && window.scrollTo(0, scrollOffsetY);\n\t\t\tscrollOffsetY = undefined;\n\t\t}\n\t};\n\n\t//\n\t// clean up when removed\n\t//\n\tonDestroy(() => {\n\t\t// make sure no longer locking body element\n\t\tdoc.classList.remove('PinturaModalBodyLock');\n\n\t\t// clean up subs\n\t\topacityUnsub();\n\t});\n\n\tfunction onwindowresize() {\n\t\t$$invalidate(3, windowHeight = window_1.innerHeight);\n\t}\n\n\tfunction div_binding($$value) {\n\t\tbinding_callbacks[$$value ? 'unshift' : 'push'](() => {\n\t\t\troot = $$value;\n\t\t\t$$invalidate(0, root);\n\t\t});\n\t}\n\n\t$$self.$$set = $$props => {\n\t\tif ('root' in $$props) $$invalidate(0, root = $$props.root);\n\t\tif ('preventZoomViewport' in $$props) $$invalidate(12, preventZoomViewport = $$props.preventZoomViewport);\n\t\tif ('preventScrollBodyIfNeeded' in $$props) $$invalidate(13, preventScrollBodyIfNeeded = $$props.preventScrollBodyIfNeeded);\n\t\tif ('preventFooterOverlapIfNeeded' in $$props) $$invalidate(14, preventFooterOverlapIfNeeded = $$props.preventFooterOverlapIfNeeded);\n\t\tif ('class' in $$props) $$invalidate(15, klass = $$props.class);\n\t};\n\n\t$$self.$$.update = () => {\n\t\tif ($$self.$$.dirty[0] & /*showing, hiding, $opacity, hidden*/ 67895298) {\n\t\t\t$$invalidate(25, o = showing || hiding ? $opacity : hidden ? 0 : 1);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*preventZoomViewport*/ 4096) {\n\t\t\tviewportRules = 'width=device-width,height=device-height,initial-scale=1' + (preventZoomViewport\n\t\t\t? ',maximum-scale=1,user-scalable=0'\n\t\t\t: '');\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*showing, hidden, hiding*/ 786434) {\n\t\t\t$$invalidate(22, isOpaque = !showing && !hidden && !hiding);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*hasFocussedTextField, windowHeight*/ 12) {\n\t\t\tif (!hasFocussedTextField) $$invalidate(20, windowHeightComputed = windowHeight);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*measureElementHeight, windowHeight*/ 2097160) {\n\t\t\t$$invalidate(24, isIOSFooterVisible = isNumber(measureElementHeight)\n\t\t\t? `--viewport-pad-footer:${measureElementHeight > windowHeight ? 0 : 1}`\n\t\t\t: '');\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*o, windowHeightComputed, isIOSFooterVisible*/ 51380224) {\n\t\t\t$$invalidate(5, style = `opacity:${o};height:${windowHeightComputed}px;--editor-modal:1;${isIOSFooterVisible}`);\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*klass*/ 32768) {\n\t\t\t$$invalidate(4, className = arrayJoin(['pintura-editor', 'PinturaModal', klass]));\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*preventScrollBodyIfNeeded*/ 8192) {\n\t\t\t$$invalidate(23, scrollsBodyOnInteraction = preventScrollBodyIfNeeded && isIOS() && (/15_/).test(navigator.userAgent));\n\t\t}\n\n\t\tif ($$self.$$.dirty[0] & /*scrollsBodyOnInteraction, isOpaque*/ 12582912) {\n\t\t\tscrollsBodyOnInteraction && toggleDocumentLock(isOpaque);\n\t\t}\n\t};\n\n\treturn [\n\t\troot,\n\t\thidden,\n\t\thasFocussedTextField,\n\t\twindowHeight,\n\t\tclassName,\n\t\tstyle,\n\t\topacity,\n\t\thandleFocusIn,\n\t\thandleFocusOut,\n\t\thandleWheel,\n\t\thandleKey,\n\t\tspawnMeasureElement,\n\t\tpreventZoomViewport,\n\t\tpreventScrollBodyIfNeeded,\n\t\tpreventFooterOverlapIfNeeded,\n\t\tklass,\n\t\tshow,\n\t\thide,\n\t\thiding,\n\t\tshowing,\n\t\twindowHeightComputed,\n\t\tmeasureElementHeight,\n\t\tisOpaque,\n\t\tscrollsBodyOnInteraction,\n\t\tisIOSFooterVisible,\n\t\to,\n\t\t$opacity,\n\t\tonwindowresize,\n\t\tdiv_binding\n\t];\n}\n\nclass Modal extends SvelteComponent {\n\tconstructor(options) {\n\t\tsuper();\n\n\t\tinit(\n\t\t\tthis,\n\t\t\toptions,\n\t\t\tinstance,\n\t\t\tcreate_fragment,\n\t\t\tsafe_not_equal,\n\t\t\t{\n\t\t\t\troot: 0,\n\t\t\t\tpreventZoomViewport: 12,\n\t\t\t\tpreventScrollBodyIfNeeded: 13,\n\t\t\t\tpreventFooterOverlapIfNeeded: 14,\n\t\t\t\tclass: 15,\n\t\t\t\tshow: 16,\n\t\t\t\thide: 17\n\t\t\t},\n\t\t\tnull,\n\t\t\t[-1, -1]\n\t\t);\n\t}\n\n\tget root() {\n\t\treturn this.$$.ctx[0];\n\t}\n\n\tset root(root) {\n\t\tthis.$$set({ root });\n\t\tflush();\n\t}\n\n\tget preventZoomViewport() {\n\t\treturn this.$$.ctx[12];\n\t}\n\n\tset preventZoomViewport(preventZoomViewport) {\n\t\tthis.$$set({ preventZoomViewport });\n\t\tflush();\n\t}\n\n\tget preventScrollBodyIfNeeded() {\n\t\treturn this.$$.ctx[13];\n\t}\n\n\tset preventScrollBodyIfNeeded(preventScrollBodyIfNeeded) {\n\t\tthis.$$set({ preventScrollBodyIfNeeded });\n\t\tflush();\n\t}\n\n\tget preventFooterOverlapIfNeeded() {\n\t\treturn this.$$.ctx[14];\n\t}\n\n\tset preventFooterOverlapIfNeeded(preventFooterOverlapIfNeeded) {\n\t\tthis.$$set({ preventFooterOverlapIfNeeded });\n\t\tflush();\n\t}\n\n\tget class() {\n\t\treturn this.$$.ctx[15];\n\t}\n\n\tset class(klass) {\n\t\tthis.$$set({ class: klass });\n\t\tflush();\n\t}\n\n\tget show() {\n\t\treturn this.$$.ctx[16];\n\t}\n\n\tget hide() {\n\t\treturn this.$$.ctx[17];\n\t}\n}\n\n// we export a function that renders the view as to not export svelte component related code to outside the ui dir\nvar createModal = (options = {}, parent) => new Modal({\n    target: parent || document.body,\n    props: {\n        class: options.class,\n        preventZoomViewport: options.preventZoomViewport,\n        preventScrollBodyIfNeeded: options.preventScrollBodyIfNeeded,\n        preventFooterOverlapIfNeeded: options.preventFooterOverlapIfNeeded,\n    },\n});\n\nvar _openEditor = (options = {}, parent) => {\n    // set up pub/sub for the app layer\n    const { sub, pub } = pubsub();\n    const accessors = {};\n    const modal = createModal(options, parent);\n    const hide = () => {\n        if (!modal.hide)\n            return; // was destroyed\n        modal.hide();\n    };\n    const show = () => {\n        if (!modal.show)\n            return; // was destroyed\n        modal.show();\n    };\n    const view = initEditorView(modal.root);\n    linkAccessors(view, accessors);\n    // link up handle event\n    accessors.handleEvent = noop$1;\n    view.handleEvent = (type, detail) => {\n        // need to do this so we pass correct accessors\n        if (type === 'init')\n            return accessors.handleEvent(type, accessors);\n        // other events\n        accessors.handleEvent(type, detail);\n    };\n    // route close request from view to modal\n    view.on('close', async () => {\n        const { willClose } = options;\n        if (!willClose)\n            return hide();\n        const shouldClose = await willClose();\n        if (shouldClose)\n            hide();\n    });\n    const subscribe = (event, cb) => {\n        // capture modal related events\n        if (/show|hide/.test(event))\n            return sub(event, cb);\n        // route rest of events to view\n        return view.on(event, cb);\n    };\n    const modalHandleEventUnsubs = ['show', 'hide'].map((type) => subscribe(type, (detail) => accessors.handleEvent(type, detail)));\n    // cleans up view\n    const destroy = () => {\n        // unsub\n        modalHandleEventUnsubs.forEach((unsub) => unsub());\n        // remove\n        hide();\n        modal.$destroy();\n        view.destroy();\n    };\n    defineMethods(accessors, {\n        on: subscribe,\n        destroy,\n        hide,\n        show,\n    });\n    // add element root query\n    Object.defineProperty(accessors, 'modal', {\n        get: () => modal.root,\n        set: () => undefined,\n    });\n    // route modal events\n    modal.$on('close', view.close);\n    modal.$on('show', () => pub('show'));\n    modal.$on('hide', () => {\n        pub('hide');\n        if (options.enableAutoDestroy !== false)\n            destroy();\n    });\n    // modal behavior\n    if (options.enableAutoHide !== false)\n        view.on('process', hide);\n    view.on('loadstart', show);\n    // test if should\n    if (options.enableButtonClose !== false)\n        options.enableButtonClose = true;\n    // delete class\n    delete options.class;\n    // update props\n    Object.assign(accessors, options);\n    return accessors;\n};\n\nvar _overlayEditor = (target, options) => {\n    const editor = _appendEditor(target, {\n        ...options,\n        layout: 'overlay',\n    });\n    return editor;\n};\n\n// helper method to calculate end style params that are passed to lineEnd style functions\nconst getLineEndParams = (start, end, strokeWidth, isSolid) => {\n    const direction = vectorCreate(end.x - start.x, end.y - start.y);\n    const normal = vectorNormalize(direction);\n    const scaledSize = 5 * strokeWidth;\n    let scaledSizeHalf;\n    // solid\n    if (isSolid) {\n        scaledSizeHalf = scaledSize * 0.5;\n    }\n    // stroke\n    else {\n        scaledSizeHalf = Math.ceil((scaledSize - 1) * 0.5);\n    }\n    const offset = vectorMultiply(vectorClone(normal), scaledSizeHalf);\n    return {\n        anchor: vectorClone(start),\n        offset,\n        normal,\n        solid: isSolid,\n        size: scaledSize,\n        sizeHalf: scaledSizeHalf,\n    };\n};\n// various available styles\nconst lineEndStyleArrow = ({ anchor, solid, normal, offset, size, sizeHalf, strokeWidth, strokeColor }, anchorRef) => {\n    const x = anchor.x;\n    const y = anchor.y;\n    const tipOffset = vectorMultiply(vectorClone(normal), size);\n    const inset = vectorCreate(x + tipOffset.x, y + tipOffset.y);\n    vectorMultiply(tipOffset, 0.55);\n    if (solid) {\n        // move back so arrow triangle overlaps with end of line (otherwise line sticks out of triangle tip)\n        vectorAdd(anchorRef, offset);\n        const arrowOffset = vectorMultiply(vectorClone(normal), sizeHalf * 0.5);\n        return [\n            {\n                points: [\n                    vectorCreate(x - arrowOffset.x, y - arrowOffset.y),\n                    vectorCreate(inset.x - tipOffset.y, inset.y + tipOffset.x),\n                    vectorCreate(inset.x + tipOffset.y, inset.y - tipOffset.x),\n                ],\n                pathClose: true,\n                backgroundColor: strokeColor,\n            },\n        ];\n    }\n    else {\n        // this prevents trouble with sharp line rendering in webgl\n        const p = vectorMultiply(vectorPerpendicular(vectorClone(normal)), 0.5);\n        const tipLeft = vectorCreate(x - p.x, y - p.y);\n        const tipRight = vectorCreate(x + p.x, y + p.y);\n        return [\n            {\n                points: [\n                    vectorCreate(inset.x + tipOffset.y, inset.y - tipOffset.x),\n                    tipLeft,\n                    vectorCreate(x, y),\n                    tipRight,\n                    vectorCreate(inset.x - tipOffset.y, inset.y + tipOffset.x),\n                ],\n                pathClose: false,\n                strokeWidth: strokeWidth,\n                strokeColor: strokeColor,\n            },\n        ];\n    }\n};\nconst lineEndStyleCircle = ({ anchor, solid, offset, normal, sizeHalf, strokeWidth, strokeColor }, anchorRef) => {\n    // update anchor point position\n    vectorAdd(anchorRef, offset);\n    // if solid, move line slightly towards circle as to make them overlap\n    if (solid)\n        vectorAdd(anchorRef, vectorInvert(vectorClone(normal)));\n    return [\n        {\n            x: anchor.x,\n            y: anchor.y,\n            rx: sizeHalf,\n            ry: sizeHalf,\n            backgroundColor: solid ? strokeColor : undefined,\n            strokeWidth: solid ? undefined : strokeWidth,\n            strokeColor: solid ? undefined : strokeColor,\n        },\n    ];\n};\nconst lineEndStyleBar = ({ anchor, offset, strokeWidth, strokeColor }) => {\n    return [\n        {\n            points: [\n                vectorCreate(anchor.x - offset.y, anchor.y + offset.x),\n                vectorCreate(anchor.x + offset.y, anchor.y - offset.x),\n            ],\n            strokeWidth,\n            strokeColor,\n        },\n    ];\n};\nconst lineEndStyleSquare = ({ anchor, solid, offset, normal, sizeHalf, strokeWidth, strokeColor }, anchorRef) => {\n    // update anchor point position\n    vectorAdd(anchorRef, offset);\n    return [\n        {\n            x: anchor.x - sizeHalf,\n            y: anchor.y - sizeHalf,\n            width: sizeHalf * 2,\n            height: sizeHalf * 2,\n            rotation: vectorAngle(normal),\n            backgroundColor: solid ? strokeColor : undefined,\n            strokeWidth: solid ? undefined : strokeWidth,\n            strokeColor: solid ? undefined : strokeColor,\n        },\n    ];\n};\n// this method parses the shape and checks if lineStart or lineEnd is being used\nconst createLineEndProcessor = (styles = {}) => (shape) => {\n    if (!hasProp(shape, 'lineStart') && !hasProp(shape, 'lineEnd'))\n        return;\n    // resulting shapes\n    const res = [];\n    const { lineStart, lineEnd, strokeWidth, strokeColor } = shape;\n    const start = vectorCreate(shape.x1, shape.y1);\n    const end = vectorCreate(shape.x2, shape.y2);\n    const points = [start, end];\n    // handle lineStart\n    if (lineStart) {\n        const [style, solid] = lineStart.split('-');\n        const process = styles[style];\n        if (process) {\n            const params = getLineEndParams(start, end, strokeWidth, !!solid);\n            res.push(...process({\n                ...params,\n                strokeColor,\n                strokeWidth,\n            }, start));\n        }\n    }\n    // handle lineEnd\n    if (lineEnd) {\n        const [style, solid] = lineEnd.split('-');\n        const process = styles[style];\n        if (process) {\n            const params = getLineEndParams(end, start, strokeWidth, !!solid);\n            res.push(...process({\n                ...params,\n                strokeColor,\n                strokeWidth,\n            }, end));\n        }\n    }\n    return [\n        // return inner path\n        {\n            points,\n            strokeWidth,\n            strokeColor,\n        },\n        // add line end styles\n        ...res,\n    ];\n};\n// the default line end styles available, can import and extend\nconst createDefaultLineEndStyles = () => ({\n    arrow: lineEndStyleArrow,\n    circle: lineEndStyleCircle,\n    square: lineEndStyleSquare,\n    bar: lineEndStyleBar,\n});\n\nconst safeFactor = (value, factor) => {\n    const v = parseFloat(value) * factor;\n    return isString(value) ? `${v}%` : v;\n};\nconst toValue = (value, total) => (isString(value) ? toPixelValue(value, total) : value);\nconst frameStyleSolid = (shape) => [\n    {\n        ...shape,\n        frameStyle: 'line',\n        frameInset: 0,\n        frameOffset: 0,\n        frameSize: shape.frameSize ? safeFactor(shape.frameSize, 2) : '2.5%',\n        frameRadius: shape.frameRound ? safeFactor(shape.frameSize, 2) : 0,\n    },\n];\nconst frameStyleNine = ({ width: contextWidth, height: contextHeight, frameImage, frameSize = '15%', frameOutset = 0, frameSlices = {\n    x1: 0.15,\n    y1: 0.15,\n    x2: 0.85,\n    y2: 0.85,\n}, }, { isPreview }) => {\n    // need a frame image to render a frame\n    if (!frameImage)\n        return [];\n    const contextSize = Math.sqrt(contextWidth * contextHeight);\n    const size = toValue(frameSize, contextSize);\n    const width = isPreview ? size : Math.round(size);\n    const height = width;\n    const outset = toValue(frameOutset, contextSize);\n    const outsetDouble = outset * 2;\n    const { x1, x2, y1, y2 } = frameSlices;\n    const shapeCoordinates = {\n        x0: 0,\n        y0: 0,\n        x1: width,\n        y1: height,\n        x2: contextWidth - width,\n        y2: contextHeight - height,\n        x3: contextWidth,\n        y3: contextHeight,\n        cw: width,\n        ch: height,\n        ew: contextWidth - width - width,\n        eh: contextHeight - height - height,\n    };\n    const overlap = isPreview ? 1 : 0;\n    const overlapDouble = overlap * 2;\n    const expandsCanvas = outset > 0;\n    const cornerGeneric = {\n        expandsCanvas,\n        width: shapeCoordinates.cw,\n        height: shapeCoordinates.ch,\n        backgroundImage: frameImage,\n    };\n    return [\n        // edges\n        {\n            // t\n            expandsCanvas,\n            x: shapeCoordinates.x1 - overlap - outset,\n            y: shapeCoordinates.y0 - outset,\n            width: shapeCoordinates.ew + overlapDouble + outsetDouble,\n            height: shapeCoordinates.ch,\n            backgroundCorners: [\n                { x: x1, y: 0 },\n                { x: x2, y: 0 },\n                { x: x2, y: y1 },\n                { x: x1, y: y1 },\n            ],\n            backgroundImage: frameImage,\n        },\n        {\n            // b\n            expandsCanvas,\n            x: shapeCoordinates.x1 - overlap - outset,\n            y: shapeCoordinates.y2 + outset,\n            width: shapeCoordinates.ew + overlapDouble + outsetDouble,\n            height: shapeCoordinates.ch,\n            backgroundCorners: [\n                { x: x1, y: y2 },\n                { x: x2, y: y2 },\n                { x: x2, y: 1 },\n                { x: x1, y: 1 },\n            ],\n            backgroundImage: frameImage,\n        },\n        {\n            // l\n            expandsCanvas,\n            x: shapeCoordinates.x0 - outset,\n            y: shapeCoordinates.y1 - overlap - outset,\n            width: shapeCoordinates.cw,\n            height: shapeCoordinates.eh + overlapDouble + outsetDouble,\n            backgroundCorners: [\n                { x: 0, y: y1 },\n                { x: x1, y: y1 },\n                { x: x1, y: y2 },\n                { x: 0, y: y2 },\n            ],\n            backgroundImage: frameImage,\n        },\n        {\n            // r\n            expandsCanvas,\n            x: shapeCoordinates.x2 + outset,\n            y: shapeCoordinates.y1 - overlap - outset,\n            width: shapeCoordinates.cw,\n            height: shapeCoordinates.eh + overlapDouble + outsetDouble,\n            backgroundCorners: [\n                { x: x2, y: y1 },\n                { x: 1, y: y1 },\n                { x: 1, y: y2 },\n                { x: x2, y: y2 },\n            ],\n            backgroundImage: frameImage,\n        },\n        // corners\n        {\n            // tl\n            ...cornerGeneric,\n            x: shapeCoordinates.x0 - outset,\n            y: shapeCoordinates.y0 - outset,\n            backgroundCorners: [\n                { x: 0, y: 0 },\n                { x: x1, y: 0 },\n                { x: x1, y: y1 },\n                { x: 0, y: y1 },\n            ],\n        },\n        {\n            // tr\n            ...cornerGeneric,\n            x: shapeCoordinates.x2 + outset,\n            y: shapeCoordinates.y0 - outset,\n            backgroundCorners: [\n                { x: x2, y: 0 },\n                { x: 1, y: 0 },\n                { x: 1, y: y1 },\n                { x: x2, y: y1 },\n            ],\n        },\n        {\n            // br\n            ...cornerGeneric,\n            x: shapeCoordinates.x2 + outset,\n            y: shapeCoordinates.y2 + outset,\n            backgroundCorners: [\n                { x: x2, y: y2 },\n                { x: 1, y: y2 },\n                { x: 1, y: 1 },\n                { x: x2, y: 1 },\n            ],\n        },\n        {\n            // bl\n            ...cornerGeneric,\n            x: shapeCoordinates.x0 - outset,\n            y: shapeCoordinates.y2 + outset,\n            backgroundCorners: [\n                { x: 0, y: y2 },\n                { x: x1, y: y2 },\n                { x: x1, y: 1 },\n                { x: 0, y: 1 },\n            ],\n        },\n    ];\n};\nconst frameStyleLine = ({ x, y, width, height, frameInset = '3.5%', frameSize = '.25%', frameColor = [1, 1, 1], frameOffset = '5%', frameAmount = 1, frameRadius = 0, expandsCanvas = false, }, { isPreview }) => {\n    const size = Math.sqrt(width * height);\n    let frameSizeValue = toValue(frameSize, size);\n    const frameInsetValue = toValue(frameInset, size);\n    const frameOffsetValue = toValue(frameOffset, size);\n    let center = 0;\n    if (!isPreview) {\n        frameSizeValue = Math.max(1, Math.round(frameSizeValue));\n        center = frameSizeValue % 2 == 0 ? 0 : 0.5;\n    }\n    const r = toValue(safeFactor(frameRadius, frameAmount), size);\n    return new Array(frameAmount).fill(undefined).map((_, index) => {\n        const offset = frameOffsetValue * index;\n        let left = x + frameInsetValue + offset;\n        let top = y + frameInsetValue + offset;\n        let right = x + width - frameInsetValue - offset;\n        let bottom = y + height - frameInsetValue - offset;\n        if (!isPreview) {\n            left = Math.round(left);\n            top = Math.round(top);\n            right = Math.round(right);\n            bottom = Math.round(bottom);\n        }\n        const radius = r > 0 ? r - offset : 0;\n        return {\n            x: left + center,\n            y: top + center,\n            width: right - left,\n            height: bottom - top,\n            cornerRadius: radius,\n            strokeWidth: frameSizeValue,\n            strokeColor: frameColor,\n            expandsCanvas,\n        };\n    });\n};\nconst frameStyleEdge = ({ x, y, width, height, frameSize = '.25%', frameOffset = 0, frameInset = '2.5%', frameColor = [1, 1, 1], }, { isPreview }) => {\n    const size = Math.sqrt(width * height);\n    let frameSizeValue = toValue(frameSize, size);\n    let frameInsetValue = toValue(frameInset, size);\n    let frameOffsetValue = toValue(frameOffset, size);\n    let center = 0;\n    if (!isPreview) {\n        frameSizeValue = Math.max(1, Math.round(frameSizeValue));\n        frameInsetValue = Math.round(frameInsetValue);\n        frameOffsetValue = Math.round(frameOffsetValue);\n        center = frameSizeValue % 2 == 0 ? 0 : 0.5;\n    }\n    const offset = frameOffsetValue - frameInsetValue;\n    const left = x + frameInsetValue + center;\n    const top = y + frameInsetValue + center;\n    const right = x + width - frameInsetValue - center;\n    const bottom = y + height - frameInsetValue - center;\n    return [\n        // top\n        {\n            points: [vectorCreate(left + offset, top), vectorCreate(right - offset, top)],\n        },\n        {\n            points: [vectorCreate(right, top + offset), vectorCreate(right, bottom - offset)],\n        },\n        {\n            points: [vectorCreate(right - offset, bottom), vectorCreate(left + offset, bottom)],\n        },\n        {\n            points: [vectorCreate(left, bottom - offset), vectorCreate(left, top + offset)],\n        },\n    ].map((shape) => {\n        shape.strokeWidth = frameSizeValue;\n        shape.strokeColor = frameColor;\n        return shape;\n    });\n};\nconst frameStyleHook = ({ x, y, width, height, frameSize = '.25%', frameInset = '2.5%', frameLength = '2.5%', frameColor = [1, 1, 1], }, { isPreview }) => {\n    const size = Math.sqrt(width * height);\n    let frameSizeValue = toValue(frameSize, size);\n    let frameInsetValue = toValue(frameInset, size);\n    let frameLengthValue = toValue(frameLength, size);\n    let center = 0;\n    if (!isPreview) {\n        frameSizeValue = Math.max(1, Math.round(frameSizeValue));\n        frameInsetValue = Math.round(frameInsetValue);\n        frameLengthValue = Math.round(frameLengthValue);\n        center = frameSizeValue % 2 == 0 ? 0 : 0.5;\n    }\n    const left = x + frameInsetValue + center;\n    const top = y + frameInsetValue + center;\n    const right = x + width - frameInsetValue - center;\n    const bottom = y + height - frameInsetValue - center;\n    return [\n        // top\n        {\n            points: [\n                vectorCreate(left, top + frameLengthValue),\n                vectorCreate(left, top),\n                vectorCreate(left + frameLengthValue, top),\n            ],\n        },\n        {\n            points: [\n                vectorCreate(right - frameLengthValue, top),\n                vectorCreate(right, top),\n                vectorCreate(right, top + frameLengthValue),\n            ],\n        },\n        {\n            points: [\n                vectorCreate(right, bottom - frameLengthValue),\n                vectorCreate(right, bottom),\n                vectorCreate(right - frameLengthValue, bottom),\n            ],\n        },\n        {\n            points: [\n                vectorCreate(left + frameLengthValue, bottom),\n                vectorCreate(left, bottom),\n                vectorCreate(left, bottom - frameLengthValue),\n            ],\n        },\n    ].map((shape) => {\n        shape.strokeWidth = frameSizeValue;\n        shape.strokeColor = frameColor;\n        return shape;\n    });\n};\nconst frameStylePolaroid = ({ x, y, width, height, frameColor = [1, 1, 1] }, { isPreview }) => {\n    const size = Math.sqrt(width * height);\n    const borderWidth = 0.1 * size;\n    let chinHeight = 0.2 * size;\n    let overlap = 0;\n    const borderWidthHalf = 0.5 * borderWidth;\n    if (!isPreview) {\n        chinHeight = Math.ceil(chinHeight);\n    }\n    else {\n        overlap = 1;\n    }\n    // always remove opacity\n    frameColor.length = 3;\n    return [\n        // border\n        {\n            id: 'border',\n            x: x - borderWidthHalf + overlap,\n            y: y - borderWidthHalf + overlap,\n            width: width + borderWidth - overlap * 2,\n            height: height + chinHeight - overlap * 2,\n            frameStyle: 'line',\n            frameInset: 0,\n            frameOffset: 0,\n            frameSize: borderWidth,\n            frameColor,\n            expandsCanvas: true,\n        },\n        // chin\n        {\n            id: 'chin',\n            x: x - borderWidthHalf,\n            y: height - overlap,\n            width: width + borderWidth,\n            height: chinHeight,\n            backgroundColor: frameColor,\n            expandsCanvas: true,\n        },\n    ].filter(Boolean);\n};\nconst createFrameStyleProcessor = (styles = {}) => (shape, options) => {\n    // handle solid frameStyle\n    if (!hasProp(shape, 'frameStyle'))\n        return;\n    const style = shape.frameStyle;\n    // get parser for style\n    const process = styles[style];\n    if (!process)\n        return;\n    // remove frameStyle property so we don't get endless loops\n    const { frameStyle, ...shapeReadyToParse } = shape;\n    return process(shapeReadyToParse, options);\n};\n// the default frame styles available, can import and extend\nconst createDefaultFrameStyles = () => ({\n    solid: frameStyleSolid,\n    hook: frameStyleHook,\n    line: frameStyleLine,\n    edge: frameStyleEdge,\n    polaroid: frameStylePolaroid,\n    nine: frameStyleNine,\n});\n\n// the default lineEnd parser to use\nconst createDefaultLineEndProcessors = () => createLineEndProcessor(createDefaultLineEndStyles());\nconst createDefaultFrameStyleProcessor = () => createFrameStyleProcessor(createDefaultFrameStyles());\nconst createDefaultShapeProcessors = () => [\n    createDefaultFrameStyleProcessor(),\n    createDefaultLineEndProcessors(),\n];\nconst createShapePreprocessor$1 = (processors) => {\n    const processShape = (shape, options = { isPreview: true }) => {\n        const res = processors\n            .map((process) => {\n            const res = process(shape, options);\n            // processor wasn't a match?\n            if (!res)\n                return;\n            return res.map((shape) => processShape(shape, options));\n        })\n            .filter(Boolean)\n            .flat();\n        return !res.length ? shape : res.flat();\n    };\n    return processShape;\n};\n\n// prettier-ignore\n\nconst createDefaultImageReader = createDefaultImageReader$1;\nconst createDefaultImageWriter = createDefaultImageWriter$1;\nconst createDefaultMediaWriter = createDefaultMediaWriter$1;\n\nconst createDefaultImageOrienter = () => ({\n    read: getImageOrientationFromFile,\n    apply: orientImageData,\n});\nconst createDefaultImageScrambler = (configurationOptions = {}) => {\n    // default configuration\n    const { blurAmount, dataSizeScalar, scrambleAmount, backgroundColor } = configurationOptions;\n\n    // as called from editor ui\n    return (imageData, uiOptions) => {\n        return imageDataScramble(imageData, {\n            blurAmount,\n            scrambleAmount,\n            backgroundColor,\n            ...uiOptions,\n            dataSizeScalar: dataSizeScalar || uiOptions.dataSizeScalar,\n        });\n    };\n};\nconst createEditor = createImageEditor;\nconst getEditorProps = () => getEditorProps$1().concat(getEditorViewProps()); // private api for framework components\n\nconst createMarkupEditorToolbar = createToolbar;\nconst createMarkupEditorToolStyles = createToolStyles;\n\n// markup editor style controls\nconst createMarkupEditorShapeStyleControls = createShapeStyleControls;\n\nconst markup_editor_defaults = {\n    markupEditorToolbar: createToolbar(),\n    markupEditorToolStyles: createToolStyles(),\n    markupEditorShapeStyleControls: createShapeStyleControls(),\n};\nconst setPlugins = setEditorViewPlugins;\n\nconst plugin_crop = _plugin_crop;\nconst plugin_filter = _plugin_filter;\nconst plugin_finetune = _plugin_finetune;\nconst plugin_annotate = _plugin_annotate;\nconst plugin_decorate = _plugin_decorate;\nconst plugin_sticker = _plugin_sticker;\nconst plugin_frame = _plugin_frame;\nconst plugin_redact = _plugin_redact;\nconst plugin_resize = _plugin_resize;\nconst plugin_fill = _plugin_fill;\n\nconst plugin_finetune_defaults = _plugin_finetune_defaults;\nconst plugin_filter_defaults = _plugin_filter_defaults;\nconst plugin_frame_defaults = _plugin_frame_defaults;\n\nconst locale_en_gb = _locale_en_gb;\nconst markup_editor_locale_en_gb = MarkupEditor;\n\nconst plugin_crop_locale_en_gb = _plugin_crop_locale_en_gb;\nconst plugin_fill_locale_en_gb = _plugin_fill_locale_en_gb;\nconst plugin_filter_locale_en_gb = _plugin_filter_locale_en_gb;\nconst plugin_finetune_locale_en_gb = _plugin_finetune_locale_en_gb;\nconst plugin_resize_locale_en_gb = _plugin_resize_locale_en_gb;\nconst plugin_decorate_locale_en_gb = _plugin_decorate_locale_en_gb;\nconst plugin_annotate_locale_en_gb = _plugin_annotate_locale_en_gb;\nconst plugin_sticker_locale_en_gb = _plugin_sticker_locale_en_gb;\nconst plugin_frame_locale_en_gb = _plugin_frame_locale_en_gb;\nconst plugin_redact_locale_en_gb = _plugin_redact_locale_en_gb;\n\nconst elementsToEditor = (factory, targets, options = {}) => {\n    const elements = isString(targets) ? Array.from(document.querySelectorAll(targets)) : targets;\n    return elements.filter(Boolean).map((element) => factory(element, deepCopy(options)));\n};\n\nconst appendEditor = _appendEditor;\nconst openEditor = _openEditor;\nconst overlayEditor = _overlayEditor;\nconst appendEditors = (targets, options) => elementsToEditor(appendEditor, targets, options);\n\nconst createShapePreprocessor = createShapePreprocessor$1;\n\nconst createDefaultShapePreprocessor = (customProcessors = []) => {\n    return createShapePreprocessor$1([...createDefaultShapeProcessors(), ...customProcessors]);\n};\n\n//\n// creating default editors\n//\n\nconst getEditorDefaultReadWriteOptions = (options = {}) => {\n    let readerProps = undefined;\n    if (!Array.isArray(options.imageReader)) {\n        readerProps = options.imageReader;\n        delete options.imageReader;\n    }\n\n    let imageWriter;\n    if (!Array.isArray(options.imageWriter)) {\n        if (isFunction(options.imageWriter)) {\n            imageWriter = options.imageWriter;\n        } else {\n            imageWriter = createDefaultImageWriter(options.imageWriter);\n        }\n        delete options.imageWriter;\n    } else {\n        imageWriter = createDefaultImageWriter();\n    }\n\n    let scramblerProps = undefined;\n    if (!isFunction(options.imageScrambler)) {\n        scramblerProps = options.imageScrambler;\n        delete options.imageScrambler;\n    }\n\n    return {\n        // default handling of images\n        imageReader: createDefaultImageReader(readerProps),\n        imageWriter,\n        imageOrienter: createDefaultImageOrienter(),\n        imageScrambler: createDefaultImageScrambler(scramblerProps),\n    };\n};\n\nconst processDefaultImage = (src, options = {}) => {\n    // get default read/write options object\n    const defaultReadWriteOptions = getEditorDefaultReadWriteOptions(options);\n\n    // handle custom shape preprocessorss\n    const shapePreprocessor =\n        typeof options.shapePreprocessor === 'function'\n            ? options.shapePreprocessor\n            : createDefaultShapePreprocessor(options.shapePreprocessor);\n    delete options.shapePreprocessor;\n\n    // create huge config object\n    options = mergeObjects([\n        {\n            // set reader / writer / orienter\n            ...defaultReadWriteOptions,\n\n            // shape preprocessor\n            shapePreprocessor,\n\n            // stickers stick to image by default\n            stickerStickToImage: true,\n        },\n        options,\n    ]);\n    return processImage(src, options);\n};\n\nconst getEditorDefaults = (options = {}) => {\n    // load all plugins\n    setEditorViewPlugins(\n        plugin_crop,\n        plugin_filter,\n        plugin_finetune,\n        plugin_annotate,\n        plugin_decorate,\n        plugin_sticker,\n        plugin_frame,\n        plugin_redact,\n        plugin_resize,\n        plugin_fill\n    );\n\n    const utils = [\n        'trim',\n        'crop',\n        'filter',\n        'finetune',\n        'annotate',\n        'decorate',\n        'sticker',\n        'fill',\n        'frame',\n        'redact',\n        'resize',\n    ];\n\n    // get default read/write options object\n    const defaultReadWriteOptions = getEditorDefaultReadWriteOptions(options);\n\n    // locale\n    const locale = {\n        ...locale_en_gb,\n        ...markup_editor_locale_en_gb,\n        ...plugin_crop_locale_en_gb,\n        ...plugin_fill_locale_en_gb,\n        ...plugin_filter_locale_en_gb,\n        ...plugin_finetune_locale_en_gb,\n        ...plugin_frame_locale_en_gb,\n        ...plugin_redact_locale_en_gb,\n        ...plugin_resize_locale_en_gb,\n        ...plugin_decorate_locale_en_gb,\n        ...plugin_annotate_locale_en_gb,\n        ...plugin_sticker_locale_en_gb,\n        ...options.locale,\n    };\n    delete options.locale;\n\n    // handle custom shape preprocessorss\n    const shapePreprocessor =\n        typeof options.shapePreprocessor === 'function'\n            ? options.shapePreprocessor\n            : createDefaultShapePreprocessor(options.shapePreprocessor);\n    delete options.shapePreprocessor;\n\n    // create huge config object\n    return mergeObjects([\n        {\n            // set reader / writer / orienter\n            ...defaultReadWriteOptions,\n\n            // shape preprocessor\n            shapePreprocessor,\n\n            // default utils\n            utils,\n\n            // default plugin options\n            ...plugin_finetune_defaults,\n            ...plugin_filter_defaults,\n            ...plugin_frame_defaults,\n            ...markup_editor_defaults,\n\n            // stickers stick to image by default\n            stickerStickToImage: true,\n\n            // locale\n            locale,\n        },\n        options,\n    ]);\n};\n\nconst defineCustomElements = async (options = {}) => {\n    const elements = await _defineCustomElements();\n    elements.forEach((editor) => Object.assign(editor, deepCopy(options)));\n    return elements;\n};\n\nconst defineDefaultCustomElements = (options) =>\n    defineCustomElements(getEditorDefaults(options));\n\nconst openDefaultEditor = (options, parent) =>\n    openEditor(getEditorDefaults(options), parent);\n\nconst appendDefaultEditor = (element, options) =>\n    appendEditor(element, getEditorDefaults(options));\n\nconst overlayDefaultEditor = (element, options) =>\n    overlayEditor(element, getEditorDefaults(options));\n\nconst appendDefaultEditors = (targets, options) =>\n    elementsToEditor(appendDefaultEditor, targets, options);\n\nexport { appendDefaultEditor, appendDefaultEditors, appendEditor, appendEditors, appendNode, blobToFile, colorStringToColorArray, createDefaultColorOptions, createDefaultFontFamilyOptions, createDefaultFontScaleOptions, createDefaultFontSizeOptions, createDefaultFontStyleOptions, createDefaultFrameStyles, createDefaultImageOrienter, createDefaultImageReader, createDefaultImageScrambler, createDefaultImageWriter, createDefaultLineEndStyleOptions, createDefaultLineEndStyles, createDefaultLineHeightOptions, createDefaultLineHeightScaleOptions, createDefaultMediaWriter, createDefaultShapePreprocessor, createDefaultStrokeScaleOptions, createDefaultStrokeWidthOptions, createDefaultTextAlignOptions, createEditor, createFrameStyleProcessor, createLineEndProcessor, createBackgroundColorControl as createMarkupEditorBackgroundColorControl, createColorControl as createMarkupEditorColorControl, createColorOptions as createMarkupEditorColorOptions, createFontColorControl as createMarkupEditorFontColorControl, createFontFamilyControl as createMarkupEditorFontFamilyControl, createFontFamilyOptions as createMarkupEditorFontFamilyOptions, createFontScaleOptions as createMarkupEditorFontScaleOptions, createFontSizeControl as createMarkupEditorFontSizeControl, createFontSizeOptions as createMarkupEditorFontSizeOptions, createFontStyleControl as createMarkupEditorFontStyleControl, createFontStyleOptions as createMarkupEditorFontStyleOptions, createLineEndStyleControl as createMarkupEditorLineEndStyleControl, createLineEndStyleOptions as createMarkupEditorLineEndStyleOptions, createLineHeightControl as createMarkupEditorLineHeightControl, createLineHeightOptions as createMarkupEditorLineHeightOptions, createLineHeightScaleOptions as createMarkupEditorLineHeightScaleOptions, createLineStartStyleControl as createMarkupEditorLineStartStyleControl, createMarkupEditorShapeStyleControls, createStrokeColorControl as createMarkupEditorStrokeColorControl, createStrokeScaleOptions as createMarkupEditorStrokeScaleOptions, createStrokeWidthControl as createMarkupEditorStrokeWidthControl, createStrokeWidthOptions as createMarkupEditorStrokeWidthOptions, createTextAlignControl as createMarkupEditorTextAlignControl, createToolStyle as createMarkupEditorToolStyle, createMarkupEditorToolStyles, createMarkupEditorToolbar, createNode, createShapePreprocessor, defineCustomElements, defineDefaultCustomElements, degToRad, dispatchEditorEvents, brightness as effectBrightness, clarity as effectClarity, contrast as effectContrast, exposure as effectExposure, gamma as effectGamma, saturation as effectSaturation, temperature as effectTemperature, vignette as effectVignette, chrome as filterChrome, cold as filterCold, fade as filterFade, invert as filterInvert, monoDefault as filterMonoDefault, monoNoir as filterMonoNoir, monoStark as filterMonoStark, monoWash as filterMonoWash, pastel as filterPastel, sepiaBlues as filterSepiaBlues, sepiaColor as filterSepiaColor, sepiaDefault as filterSepiaDefault, sepiaRust as filterSepiaRust, warm as filterWarm, findNode, edgeCross as frameEdgeCross, edgeOverlap as frameEdgeOverlap, edgeSeparate as frameEdgeSeparate, hook as frameHook, lineMultiple as frameLineMultiple, lineSingle as frameLineSingle, polaroid as framePolaroid, solidRound as frameSolidRound, solidSharp as frameSolidSharp, getEditorDefaults, getEditorProps, imageStateToCanvas, insertNodeAfter, insertNodeBefore, isModernBrowser as isSupported, legacyDataToImageState, locale_en_gb, markup_editor_defaults, markup_editor_locale_en_gb, naturalAspectRatioToNumber, openDefaultEditor, openEditor, overlayDefaultEditor, overlayEditor, plugin_annotate, plugin_annotate_locale_en_gb, plugin_crop, plugin_crop_locale_en_gb, plugin_decorate, plugin_decorate_locale_en_gb, plugin_fill, plugin_fill_locale_en_gb, plugin_filter, plugin_filter_defaults, plugin_filter_locale_en_gb, plugin_finetune, plugin_finetune_defaults, plugin_finetune_locale_en_gb, plugin_frame, plugin_frame_defaults, plugin_frame_locale_en_gb, plugin_redact, plugin_redact_locale_en_gb, plugin_resize, plugin_resize_locale_en_gb, plugin_sticker, plugin_sticker_locale_en_gb, processDefaultImage, processImage, removeNode, setPlugins, shapeGetCenter, shapeGetLength, shapeGetLevel, supportsWebGL, updateNode };\n","'use strict';\n/* eslint-disable es/no-symbol -- required for testing */\nvar V8_VERSION = require('../internals/engine-v8-version');\nvar fails = require('../internals/fails');\nvar global = require('../internals/global');\n\nvar $String = global.String;\n\n// eslint-disable-next-line es/no-object-getownpropertysymbols -- required for testing\nmodule.exports = !!Object.getOwnPropertySymbols && !fails(function () {\n  var symbol = Symbol('symbol detection');\n  // Chrome 38 Symbol has incorrect toString conversion\n  // `get-own-property-symbols` polyfill symbols converted to object are not Symbol instances\n  // nb: Do not call `String` directly to avoid this being optimized out to `symbol+''` which will,\n  // of course, fail.\n  return !$String(symbol) || !(Object(symbol) instanceof Symbol) ||\n    // Chrome 38-40 symbols are not inherited from DOM collections prototypes to instances\n    !Symbol.sham && V8_VERSION && V8_VERSION < 41;\n});\n","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../node_modules/css-loader/dist/cjs.js??ref--7-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--7-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--7-oneOf-1-3!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./SmallDetailsOneLogo.vue?vue&type=style&index=1&id=e4d436f2&prod&lang=css\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"23af277c\", content, shadowRoot)\n};","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\nexports.push([module.id, \"@import url(https://fonts.googleapis.com/css2?family=Roboto:ital,wght@0,300;0,400;0,700;1,400&display=swap);\"]);\n// Module\nexports.push([module.id, \".bx--dropdown{border-bottom:none}#root{height:100%}#root,#root #header{position:relative}.PinturaRoot{padding-top:0;background:#f4f4f4!important}.PinturaRoot[data-env~=landscape]>.PinturaNavTools{justify-content:left}.CustomTabList{display:none;background:#f4f4f4}.CustomTabList .PinturaButton{width:3rem;height:3rem;border:none;padding:.1rem;margin:0}.PinturaRoot[data-env~=landscape]>.PinturaNavMain{display:none}.PinturaRoot .PinturaEditorOverlay{background-color:rgba(0,0,0,.6)}.custom-shape-control.PinturaButtonIconOnly{width:2.3em;height:2.3em}.custom-shape-control.PinturaButtonIconOnly svg{fill:#fff}.custom-bring-to-front.PinturaButtonIconOnly svg{width:80%}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".manual-check-container[data-v-1a685238]{display:flex;flex-direction:column;width:30%;justify-content:space-between}.manual-check-btn[data-v-1a685238]{min-height:unset;height:35px;width:100%;font-size:14px!important}.btn--size[data-v-1a685238]{width:16px!important;height:16px!important}.check-label[data-v-1a685238]{font-size:12px;line-height:1.33;letter-spacing:.32px}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","import { useStore as useShapeStore } from '@/stores/shape';\r\nimport { useStore as useProductStore } from '@/stores/product';\r\nimport { useStore as useNotificationStore } from '@/stores/notification';\r\nimport { useStore as useMirrorStore } from '@/stores/mirror';\r\nimport cloneDeep from 'lodash.clonedeep';\r\nimport { StateSnapshot } from '@/typings';\r\n\r\nexport function createStateSnapshot(): StateSnapshot {\r\n  const shapeStore = useShapeStore();\r\n  const productStore = useProductStore();\r\n  const notificationStore = useNotificationStore();\r\n  const mirrorStore = useMirrorStore();\r\n\r\n  const snapshot: StateSnapshot = {\r\n    shapeState: {\r\n      shapes: cloneDeep(shapeStore.shapes),\r\n      activeShapeId: shapeStore.activeShapeId,\r\n      positionShapeMap: cloneDeep(shapeStore.positionShapeMap),\r\n    },\r\n    productState: {\r\n      unavailablePrintPositions: cloneDeep(\r\n        productStore.unavailablePrintPositions\r\n      ),\r\n      selectedPrintPosition: cloneDeep(productStore.selectedPrintPosition),\r\n      lastManagedPrintPositionId: productStore.lastManagedPrintPositionId,\r\n      previousManagedPrintPositionId:\r\n        productStore.previousManagedPrintPositionId,\r\n    },\r\n    notificationState: {\r\n      notificationsForBell: cloneDeep(notificationStore.notificationsForBell),\r\n      allValidatorPipelineResults: cloneDeep(\r\n        notificationStore.allValidatorPipelineResults\r\n      ),\r\n    },\r\n    mirrorState: {\r\n      mirrorShapes: cloneDeep(mirrorStore.mirrorShapes),\r\n      positionMirrorShapeMap: cloneDeep(mirrorStore.positionMirrorShapeMap),\r\n      positionMirrorSettings: cloneDeep(mirrorStore.positionMirrorSettings),\r\n    },\r\n  };\r\n\r\n  return snapshot;\r\n}\r\n","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PositionsManagement.vue?vue&type=style&index=1&id=358eef66&prod&lang=scss&scoped=true\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"78f4c4ec\", content, shadowRoot)\n};","'use strict';\nvar DESCRIPTORS = require('../internals/descriptors');\nvar call = require('../internals/function-call');\nvar propertyIsEnumerableModule = require('../internals/object-property-is-enumerable');\nvar createPropertyDescriptor = require('../internals/create-property-descriptor');\nvar toIndexedObject = require('../internals/to-indexed-object');\nvar toPropertyKey = require('../internals/to-property-key');\nvar hasOwn = require('../internals/has-own-property');\nvar IE8_DOM_DEFINE = require('../internals/ie8-dom-define');\n\n// eslint-disable-next-line es/no-object-getownpropertydescriptor -- safe\nvar $getOwnPropertyDescriptor = Object.getOwnPropertyDescriptor;\n\n// `Object.getOwnPropertyDescriptor` method\n// https://tc39.es/ecma262/#sec-object.getownpropertydescriptor\nexports.f = DESCRIPTORS ? $getOwnPropertyDescriptor : function getOwnPropertyDescriptor(O, P) {\n  O = toIndexedObject(O);\n  P = toPropertyKey(P);\n  if (IE8_DOM_DEFINE) try {\n    return $getOwnPropertyDescriptor(O, P);\n  } catch (error) { /* empty */ }\n  if (hasOwn(O, P)) return createPropertyDescriptor(!call(propertyIsEnumerableModule.f, O, P), O[P]);\n};\n","/**\n * lodash (Custom Build) <https://lodash.com/>\n * Build: `lodash modularize exports=\"npm\" -o ./`\n * Copyright jQuery Foundation and other contributors <https://jquery.org/>\n * Released under MIT license <https://lodash.com/license>\n * Based on Underscore.js 1.8.3 <http://underscorejs.org/LICENSE>\n * Copyright Jeremy Ashkenas, DocumentCloud and Investigative Reporters & Editors\n */\n\n/** Used as the size to enable large array optimizations. */\nvar LARGE_ARRAY_SIZE = 200;\n\n/** Used as the `TypeError` message for \"Functions\" methods. */\nvar FUNC_ERROR_TEXT = 'Expected a function';\n\n/** Used to stand-in for `undefined` hash values. */\nvar HASH_UNDEFINED = '__lodash_hash_undefined__';\n\n/** Used to compose bitmasks for comparison styles. */\nvar UNORDERED_COMPARE_FLAG = 1,\n    PARTIAL_COMPARE_FLAG = 2;\n\n/** Used as references for various `Number` constants. */\nvar INFINITY = 1 / 0,\n    MAX_SAFE_INTEGER = 9007199254740991,\n    MAX_INTEGER = 1.7976931348623157e+308,\n    NAN = 0 / 0;\n\n/** `Object#toString` result references. */\nvar argsTag = '[object Arguments]',\n    arrayTag = '[object Array]',\n    boolTag = '[object Boolean]',\n    dateTag = '[object Date]',\n    errorTag = '[object Error]',\n    funcTag = '[object Function]',\n    genTag = '[object GeneratorFunction]',\n    mapTag = '[object Map]',\n    numberTag = '[object Number]',\n    objectTag = '[object Object]',\n    promiseTag = '[object Promise]',\n    regexpTag = '[object RegExp]',\n    setTag = '[object Set]',\n    stringTag = '[object String]',\n    symbolTag = '[object Symbol]',\n    weakMapTag = '[object WeakMap]';\n\nvar arrayBufferTag = '[object ArrayBuffer]',\n    dataViewTag = '[object DataView]',\n    float32Tag = '[object Float32Array]',\n    float64Tag = '[object Float64Array]',\n    int8Tag = '[object Int8Array]',\n    int16Tag = '[object Int16Array]',\n    int32Tag = '[object Int32Array]',\n    uint8Tag = '[object Uint8Array]',\n    uint8ClampedTag = '[object Uint8ClampedArray]',\n    uint16Tag = '[object Uint16Array]',\n    uint32Tag = '[object Uint32Array]';\n\n/** Used to match property names within property paths. */\nvar reIsDeepProp = /\\.|\\[(?:[^[\\]]*|([\"'])(?:(?!\\1)[^\\\\]|\\\\.)*?\\1)\\]/,\n    reIsPlainProp = /^\\w*$/,\n    reLeadingDot = /^\\./,\n    rePropName = /[^.[\\]]+|\\[(?:(-?\\d+(?:\\.\\d+)?)|([\"'])((?:(?!\\2)[^\\\\]|\\\\.)*?)\\2)\\]|(?=(?:\\.|\\[\\])(?:\\.|\\[\\]|$))/g;\n\n/**\n * Used to match `RegExp`\n * [syntax characters](http://ecma-international.org/ecma-262/7.0/#sec-patterns).\n */\nvar reRegExpChar = /[\\\\^$.*+?()[\\]{}|]/g;\n\n/** Used to match leading and trailing whitespace. */\nvar reTrim = /^\\s+|\\s+$/g;\n\n/** Used to match backslashes in property paths. */\nvar reEscapeChar = /\\\\(\\\\)?/g;\n\n/** Used to detect bad signed hexadecimal string values. */\nvar reIsBadHex = /^[-+]0x[0-9a-f]+$/i;\n\n/** Used to detect binary string values. */\nvar reIsBinary = /^0b[01]+$/i;\n\n/** Used to detect host constructors (Safari). */\nvar reIsHostCtor = /^\\[object .+?Constructor\\]$/;\n\n/** Used to detect octal string values. */\nvar reIsOctal = /^0o[0-7]+$/i;\n\n/** Used to detect unsigned integer values. */\nvar reIsUint = /^(?:0|[1-9]\\d*)$/;\n\n/** Used to identify `toStringTag` values of typed arrays. */\nvar typedArrayTags = {};\ntypedArrayTags[float32Tag] = typedArrayTags[float64Tag] =\ntypedArrayTags[int8Tag] = typedArrayTags[int16Tag] =\ntypedArrayTags[int32Tag] = typedArrayTags[uint8Tag] =\ntypedArrayTags[uint8ClampedTag] = typedArrayTags[uint16Tag] =\ntypedArrayTags[uint32Tag] = true;\ntypedArrayTags[argsTag] = typedArrayTags[arrayTag] =\ntypedArrayTags[arrayBufferTag] = typedArrayTags[boolTag] =\ntypedArrayTags[dataViewTag] = typedArrayTags[dateTag] =\ntypedArrayTags[errorTag] = typedArrayTags[funcTag] =\ntypedArrayTags[mapTag] = typedArrayTags[numberTag] =\ntypedArrayTags[objectTag] = typedArrayTags[regexpTag] =\ntypedArrayTags[setTag] = typedArrayTags[stringTag] =\ntypedArrayTags[weakMapTag] = false;\n\n/** Built-in method references without a dependency on `root`. */\nvar freeParseInt = parseInt;\n\n/** Detect free variable `global` from Node.js. */\nvar freeGlobal = typeof global == 'object' && global && global.Object === Object && global;\n\n/** Detect free variable `self`. */\nvar freeSelf = typeof self == 'object' && self && self.Object === Object && self;\n\n/** Used as a reference to the global object. */\nvar root = freeGlobal || freeSelf || Function('return this')();\n\n/** Detect free variable `exports`. */\nvar freeExports = typeof exports == 'object' && exports && !exports.nodeType && exports;\n\n/** Detect free variable `module`. */\nvar freeModule = freeExports && typeof module == 'object' && module && !module.nodeType && module;\n\n/** Detect the popular CommonJS extension `module.exports`. */\nvar moduleExports = freeModule && freeModule.exports === freeExports;\n\n/** Detect free variable `process` from Node.js. */\nvar freeProcess = moduleExports && freeGlobal.process;\n\n/** Used to access faster Node.js helpers. */\nvar nodeUtil = (function() {\n  try {\n    return freeProcess && freeProcess.binding('util');\n  } catch (e) {}\n}());\n\n/* Node.js helper references. */\nvar nodeIsTypedArray = nodeUtil && nodeUtil.isTypedArray;\n\n/**\n * A specialized version of `_.some` for arrays without support for iteratee\n * shorthands.\n *\n * @private\n * @param {Array} [array] The array to iterate over.\n * @param {Function} predicate The function invoked per iteration.\n * @returns {boolean} Returns `true` if any element passes the predicate check,\n *  else `false`.\n */\nfunction arraySome(array, predicate) {\n  var index = -1,\n      length = array ? array.length : 0;\n\n  while (++index < length) {\n    if (predicate(array[index], index, array)) {\n      return true;\n    }\n  }\n  return false;\n}\n\n/**\n * The base implementation of `_.findIndex` and `_.findLastIndex` without\n * support for iteratee shorthands.\n *\n * @private\n * @param {Array} array The array to inspect.\n * @param {Function} predicate The function invoked per iteration.\n * @param {number} fromIndex The index to search from.\n * @param {boolean} [fromRight] Specify iterating from right to left.\n * @returns {number} Returns the index of the matched value, else `-1`.\n */\nfunction baseFindIndex(array, predicate, fromIndex, fromRight) {\n  var length = array.length,\n      index = fromIndex + (fromRight ? 1 : -1);\n\n  while ((fromRight ? index-- : ++index < length)) {\n    if (predicate(array[index], index, array)) {\n      return index;\n    }\n  }\n  return -1;\n}\n\n/**\n * The base implementation of `_.property` without support for deep paths.\n *\n * @private\n * @param {string} key The key of the property to get.\n * @returns {Function} Returns the new accessor function.\n */\nfunction baseProperty(key) {\n  return function(object) {\n    return object == null ? undefined : object[key];\n  };\n}\n\n/**\n * The base implementation of `_.times` without support for iteratee shorthands\n * or max array length checks.\n *\n * @private\n * @param {number} n The number of times to invoke `iteratee`.\n * @param {Function} iteratee The function invoked per iteration.\n * @returns {Array} Returns the array of results.\n */\nfunction baseTimes(n, iteratee) {\n  var index = -1,\n      result = Array(n);\n\n  while (++index < n) {\n    result[index] = iteratee(index);\n  }\n  return result;\n}\n\n/**\n * The base implementation of `_.unary` without support for storing metadata.\n *\n * @private\n * @param {Function} func The function to cap arguments for.\n * @returns {Function} Returns the new capped function.\n */\nfunction baseUnary(func) {\n  return function(value) {\n    return func(value);\n  };\n}\n\n/**\n * Gets the value at `key` of `object`.\n *\n * @private\n * @param {Object} [object] The object to query.\n * @param {string} key The key of the property to get.\n * @returns {*} Returns the property value.\n */\nfunction getValue(object, key) {\n  return object == null ? undefined : object[key];\n}\n\n/**\n * Checks if `value` is a host object in IE < 9.\n *\n * @private\n * @param {*} value The value to check.\n * @returns {boolean} Returns `true` if `value` is a host object, else `false`.\n */\nfunction isHostObject(value) {\n  // Many host objects are `Object` objects that can coerce to strings\n  // despite having improperly defined `toString` methods.\n  var result = false;\n  if (value != null && typeof value.toString != 'function') {\n    try {\n      result = !!(value + '');\n    } catch (e) {}\n  }\n  return result;\n}\n\n/**\n * Converts `map` to its key-value pairs.\n *\n * @private\n * @param {Object} map The map to convert.\n * @returns {Array} Returns the key-value pairs.\n */\nfunction mapToArray(map) {\n  var index = -1,\n      result = Array(map.size);\n\n  map.forEach(function(value, key) {\n    result[++index] = [key, value];\n  });\n  return result;\n}\n\n/**\n * Creates a unary function that invokes `func` with its argument transformed.\n *\n * @private\n * @param {Function} func The function to wrap.\n * @param {Function} transform The argument transform.\n * @returns {Function} Returns the new function.\n */\nfunction overArg(func, transform) {\n  return function(arg) {\n    return func(transform(arg));\n  };\n}\n\n/**\n * Converts `set` to an array of its values.\n *\n * @private\n * @param {Object} set The set to convert.\n * @returns {Array} Returns the values.\n */\nfunction setToArray(set) {\n  var index = -1,\n      result = Array(set.size);\n\n  set.forEach(function(value) {\n    result[++index] = value;\n  });\n  return result;\n}\n\n/** Used for built-in method references. */\nvar arrayProto = Array.prototype,\n    funcProto = Function.prototype,\n    objectProto = Object.prototype;\n\n/** Used to detect overreaching core-js shims. */\nvar coreJsData = root['__core-js_shared__'];\n\n/** Used to detect methods masquerading as native. */\nvar maskSrcKey = (function() {\n  var uid = /[^.]+$/.exec(coreJsData && coreJsData.keys && coreJsData.keys.IE_PROTO || '');\n  return uid ? ('Symbol(src)_1.' + uid) : '';\n}());\n\n/** Used to resolve the decompiled source of functions. */\nvar funcToString = funcProto.toString;\n\n/** Used to check objects for own properties. */\nvar hasOwnProperty = objectProto.hasOwnProperty;\n\n/**\n * Used to resolve the\n * [`toStringTag`](http://ecma-international.org/ecma-262/7.0/#sec-object.prototype.tostring)\n * of values.\n */\nvar objectToString = objectProto.toString;\n\n/** Used to detect if a method is native. */\nvar reIsNative = RegExp('^' +\n  funcToString.call(hasOwnProperty).replace(reRegExpChar, '\\\\$&')\n  .replace(/hasOwnProperty|(function).*?(?=\\\\\\()| for .+?(?=\\\\\\])/g, '$1.*?') + '$'\n);\n\n/** Built-in value references. */\nvar Symbol = root.Symbol,\n    Uint8Array = root.Uint8Array,\n    propertyIsEnumerable = objectProto.propertyIsEnumerable,\n    splice = arrayProto.splice;\n\n/* Built-in method references for those with the same name as other `lodash` methods. */\nvar nativeKeys = overArg(Object.keys, Object),\n    nativeMax = Math.max;\n\n/* Built-in method references that are verified to be native. */\nvar DataView = getNative(root, 'DataView'),\n    Map = getNative(root, 'Map'),\n    Promise = getNative(root, 'Promise'),\n    Set = getNative(root, 'Set'),\n    WeakMap = getNative(root, 'WeakMap'),\n    nativeCreate = getNative(Object, 'create');\n\n/** Used to detect maps, sets, and weakmaps. */\nvar dataViewCtorString = toSource(DataView),\n    mapCtorString = toSource(Map),\n    promiseCtorString = toSource(Promise),\n    setCtorString = toSource(Set),\n    weakMapCtorString = toSource(WeakMap);\n\n/** Used to convert symbols to primitives and strings. */\nvar symbolProto = Symbol ? Symbol.prototype : undefined,\n    symbolValueOf = symbolProto ? symbolProto.valueOf : undefined,\n    symbolToString = symbolProto ? symbolProto.toString : undefined;\n\n/**\n * Creates a hash object.\n *\n * @private\n * @constructor\n * @param {Array} [entries] The key-value pairs to cache.\n */\nfunction Hash(entries) {\n  var index = -1,\n      length = entries ? entries.length : 0;\n\n  this.clear();\n  while (++index < length) {\n    var entry = entries[index];\n    this.set(entry[0], entry[1]);\n  }\n}\n\n/**\n * Removes all key-value entries from the hash.\n *\n * @private\n * @name clear\n * @memberOf Hash\n */\nfunction hashClear() {\n  this.__data__ = nativeCreate ? nativeCreate(null) : {};\n}\n\n/**\n * Removes `key` and its value from the hash.\n *\n * @private\n * @name delete\n * @memberOf Hash\n * @param {Object} hash The hash to modify.\n * @param {string} key The key of the value to remove.\n * @returns {boolean} Returns `true` if the entry was removed, else `false`.\n */\nfunction hashDelete(key) {\n  return this.has(key) && delete this.__data__[key];\n}\n\n/**\n * Gets the hash value for `key`.\n *\n * @private\n * @name get\n * @memberOf Hash\n * @param {string} key The key of the value to get.\n * @returns {*} Returns the entry value.\n */\nfunction hashGet(key) {\n  var data = this.__data__;\n  if (nativeCreate) {\n    var result = data[key];\n    return result === HASH_UNDEFINED ? undefined : result;\n  }\n  return hasOwnProperty.call(data, key) ? data[key] : undefined;\n}\n\n/**\n * Checks if a hash value for `key` exists.\n *\n * @private\n * @name has\n * @memberOf Hash\n * @param {string} key The key of the entry to check.\n * @returns {boolean} Returns `true` if an entry for `key` exists, else `false`.\n */\nfunction hashHas(key) {\n  var data = this.__data__;\n  return nativeCreate ? data[key] !== undefined : hasOwnProperty.call(data, key);\n}\n\n/**\n * Sets the hash `key` to `value`.\n *\n * @private\n * @name set\n * @memberOf Hash\n * @param {string} key The key of the value to set.\n * @param {*} value The value to set.\n * @returns {Object} Returns the hash instance.\n */\nfunction hashSet(key, value) {\n  var data = this.__data__;\n  data[key] = (nativeCreate && value === undefined) ? HASH_UNDEFINED : value;\n  return this;\n}\n\n// Add methods to `Hash`.\nHash.prototype.clear = hashClear;\nHash.prototype['delete'] = hashDelete;\nHash.prototype.get = hashGet;\nHash.prototype.has = hashHas;\nHash.prototype.set = hashSet;\n\n/**\n * Creates an list cache object.\n *\n * @private\n * @constructor\n * @param {Array} [entries] The key-value pairs to cache.\n */\nfunction ListCache(entries) {\n  var index = -1,\n      length = entries ? entries.length : 0;\n\n  this.clear();\n  while (++index < length) {\n    var entry = entries[index];\n    this.set(entry[0], entry[1]);\n  }\n}\n\n/**\n * Removes all key-value entries from the list cache.\n *\n * @private\n * @name clear\n * @memberOf ListCache\n */\nfunction listCacheClear() {\n  this.__data__ = [];\n}\n\n/**\n * Removes `key` and its value from the list cache.\n *\n * @private\n * @name delete\n * @memberOf ListCache\n * @param {string} key The key of the value to remove.\n * @returns {boolean} Returns `true` if the entry was removed, else `false`.\n */\nfunction listCacheDelete(key) {\n  var data = this.__data__,\n      index = assocIndexOf(data, key);\n\n  if (index < 0) {\n    return false;\n  }\n  var lastIndex = data.length - 1;\n  if (index == lastIndex) {\n    data.pop();\n  } else {\n    splice.call(data, index, 1);\n  }\n  return true;\n}\n\n/**\n * Gets the list cache value for `key`.\n *\n * @private\n * @name get\n * @memberOf ListCache\n * @param {string} key The key of the value to get.\n * @returns {*} Returns the entry value.\n */\nfunction listCacheGet(key) {\n  var data = this.__data__,\n      index = assocIndexOf(data, key);\n\n  return index < 0 ? undefined : data[index][1];\n}\n\n/**\n * Checks if a list cache value for `key` exists.\n *\n * @private\n * @name has\n * @memberOf ListCache\n * @param {string} key The key of the entry to check.\n * @returns {boolean} Returns `true` if an entry for `key` exists, else `false`.\n */\nfunction listCacheHas(key) {\n  return assocIndexOf(this.__data__, key) > -1;\n}\n\n/**\n * Sets the list cache `key` to `value`.\n *\n * @private\n * @name set\n * @memberOf ListCache\n * @param {string} key The key of the value to set.\n * @param {*} value The value to set.\n * @returns {Object} Returns the list cache instance.\n */\nfunction listCacheSet(key, value) {\n  var data = this.__data__,\n      index = assocIndexOf(data, key);\n\n  if (index < 0) {\n    data.push([key, value]);\n  } else {\n    data[index][1] = value;\n  }\n  return this;\n}\n\n// Add methods to `ListCache`.\nListCache.prototype.clear = listCacheClear;\nListCache.prototype['delete'] = listCacheDelete;\nListCache.prototype.get = listCacheGet;\nListCache.prototype.has = listCacheHas;\nListCache.prototype.set = listCacheSet;\n\n/**\n * Creates a map cache object to store key-value pairs.\n *\n * @private\n * @constructor\n * @param {Array} [entries] The key-value pairs to cache.\n */\nfunction MapCache(entries) {\n  var index = -1,\n      length = entries ? entries.length : 0;\n\n  this.clear();\n  while (++index < length) {\n    var entry = entries[index];\n    this.set(entry[0], entry[1]);\n  }\n}\n\n/**\n * Removes all key-value entries from the map.\n *\n * @private\n * @name clear\n * @memberOf MapCache\n */\nfunction mapCacheClear() {\n  this.__data__ = {\n    'hash': new Hash,\n    'map': new (Map || ListCache),\n    'string': new Hash\n  };\n}\n\n/**\n * Removes `key` and its value from the map.\n *\n * @private\n * @name delete\n * @memberOf MapCache\n * @param {string} key The key of the value to remove.\n * @returns {boolean} Returns `true` if the entry was removed, else `false`.\n */\nfunction mapCacheDelete(key) {\n  return getMapData(this, key)['delete'](key);\n}\n\n/**\n * Gets the map value for `key`.\n *\n * @private\n * @name get\n * @memberOf MapCache\n * @param {string} key The key of the value to get.\n * @returns {*} Returns the entry value.\n */\nfunction mapCacheGet(key) {\n  return getMapData(this, key).get(key);\n}\n\n/**\n * Checks if a map value for `key` exists.\n *\n * @private\n * @name has\n * @memberOf MapCache\n * @param {string} key The key of the entry to check.\n * @returns {boolean} Returns `true` if an entry for `key` exists, else `false`.\n */\nfunction mapCacheHas(key) {\n  return getMapData(this, key).has(key);\n}\n\n/**\n * Sets the map `key` to `value`.\n *\n * @private\n * @name set\n * @memberOf MapCache\n * @param {string} key The key of the value to set.\n * @param {*} value The value to set.\n * @returns {Object} Returns the map cache instance.\n */\nfunction mapCacheSet(key, value) {\n  getMapData(this, key).set(key, value);\n  return this;\n}\n\n// Add methods to `MapCache`.\nMapCache.prototype.clear = mapCacheClear;\nMapCache.prototype['delete'] = mapCacheDelete;\nMapCache.prototype.get = mapCacheGet;\nMapCache.prototype.has = mapCacheHas;\nMapCache.prototype.set = mapCacheSet;\n\n/**\n *\n * Creates an array cache object to store unique values.\n *\n * @private\n * @constructor\n * @param {Array} [values] The values to cache.\n */\nfunction SetCache(values) {\n  var index = -1,\n      length = values ? values.length : 0;\n\n  this.__data__ = new MapCache;\n  while (++index < length) {\n    this.add(values[index]);\n  }\n}\n\n/**\n * Adds `value` to the array cache.\n *\n * @private\n * @name add\n * @memberOf SetCache\n * @alias push\n * @param {*} value The value to cache.\n * @returns {Object} Returns the cache instance.\n */\nfunction setCacheAdd(value) {\n  this.__data__.set(value, HASH_UNDEFINED);\n  return this;\n}\n\n/**\n * Checks if `value` is in the array cache.\n *\n * @private\n * @name has\n * @memberOf SetCache\n * @param {*} value The value to search for.\n * @returns {number} Returns `true` if `value` is found, else `false`.\n */\nfunction setCacheHas(value) {\n  return this.__data__.has(value);\n}\n\n// Add methods to `SetCache`.\nSetCache.prototype.add = SetCache.prototype.push = setCacheAdd;\nSetCache.prototype.has = setCacheHas;\n\n/**\n * Creates a stack cache object to store key-value pairs.\n *\n * @private\n * @constructor\n * @param {Array} [entries] The key-value pairs to cache.\n */\nfunction Stack(entries) {\n  this.__data__ = new ListCache(entries);\n}\n\n/**\n * Removes all key-value entries from the stack.\n *\n * @private\n * @name clear\n * @memberOf Stack\n */\nfunction stackClear() {\n  this.__data__ = new ListCache;\n}\n\n/**\n * Removes `key` and its value from the stack.\n *\n * @private\n * @name delete\n * @memberOf Stack\n * @param {string} key The key of the value to remove.\n * @returns {boolean} Returns `true` if the entry was removed, else `false`.\n */\nfunction stackDelete(key) {\n  return this.__data__['delete'](key);\n}\n\n/**\n * Gets the stack value for `key`.\n *\n * @private\n * @name get\n * @memberOf Stack\n * @param {string} key The key of the value to get.\n * @returns {*} Returns the entry value.\n */\nfunction stackGet(key) {\n  return this.__data__.get(key);\n}\n\n/**\n * Checks if a stack value for `key` exists.\n *\n * @private\n * @name has\n * @memberOf Stack\n * @param {string} key The key of the entry to check.\n * @returns {boolean} Returns `true` if an entry for `key` exists, else `false`.\n */\nfunction stackHas(key) {\n  return this.__data__.has(key);\n}\n\n/**\n * Sets the stack `key` to `value`.\n *\n * @private\n * @name set\n * @memberOf Stack\n * @param {string} key The key of the value to set.\n * @param {*} value The value to set.\n * @returns {Object} Returns the stack cache instance.\n */\nfunction stackSet(key, value) {\n  var cache = this.__data__;\n  if (cache instanceof ListCache) {\n    var pairs = cache.__data__;\n    if (!Map || (pairs.length < LARGE_ARRAY_SIZE - 1)) {\n      pairs.push([key, value]);\n      return this;\n    }\n    cache = this.__data__ = new MapCache(pairs);\n  }\n  cache.set(key, value);\n  return this;\n}\n\n// Add methods to `Stack`.\nStack.prototype.clear = stackClear;\nStack.prototype['delete'] = stackDelete;\nStack.prototype.get = stackGet;\nStack.prototype.has = stackHas;\nStack.prototype.set = stackSet;\n\n/**\n * Creates an array of the enumerable property names of the array-like `value`.\n *\n * @private\n * @param {*} value The value to query.\n * @param {boolean} inherited Specify returning inherited property names.\n * @returns {Array} Returns the array of property names.\n */\nfunction arrayLikeKeys(value, inherited) {\n  // Safari 8.1 makes `arguments.callee` enumerable in strict mode.\n  // Safari 9 makes `arguments.length` enumerable in strict mode.\n  var result = (isArray(value) || isArguments(value))\n    ? baseTimes(value.length, String)\n    : [];\n\n  var length = result.length,\n      skipIndexes = !!length;\n\n  for (var key in value) {\n    if ((inherited || hasOwnProperty.call(value, key)) &&\n        !(skipIndexes && (key == 'length' || isIndex(key, length)))) {\n      result.push(key);\n    }\n  }\n  return result;\n}\n\n/**\n * Gets the index at which the `key` is found in `array` of key-value pairs.\n *\n * @private\n * @param {Array} array The array to inspect.\n * @param {*} key The key to search for.\n * @returns {number} Returns the index of the matched value, else `-1`.\n */\nfunction assocIndexOf(array, key) {\n  var length = array.length;\n  while (length--) {\n    if (eq(array[length][0], key)) {\n      return length;\n    }\n  }\n  return -1;\n}\n\n/**\n * The base implementation of `_.get` without support for default values.\n *\n * @private\n * @param {Object} object The object to query.\n * @param {Array|string} path The path of the property to get.\n * @returns {*} Returns the resolved value.\n */\nfunction baseGet(object, path) {\n  path = isKey(path, object) ? [path] : castPath(path);\n\n  var index = 0,\n      length = path.length;\n\n  while (object != null && index < length) {\n    object = object[toKey(path[index++])];\n  }\n  return (index && index == length) ? object : undefined;\n}\n\n/**\n * The base implementation of `getTag`.\n *\n * @private\n * @param {*} value The value to query.\n * @returns {string} Returns the `toStringTag`.\n */\nfunction baseGetTag(value) {\n  return objectToString.call(value);\n}\n\n/**\n * The base implementation of `_.hasIn` without support for deep paths.\n *\n * @private\n * @param {Object} [object] The object to query.\n * @param {Array|string} key The key to check.\n * @returns {boolean} Returns `true` if `key` exists, else `false`.\n */\nfunction baseHasIn(object, key) {\n  return object != null && key in Object(object);\n}\n\n/**\n * The base implementation of `_.isEqual` which supports partial comparisons\n * and tracks traversed objects.\n *\n * @private\n * @param {*} value The value to compare.\n * @param {*} other The other value to compare.\n * @param {Function} [customizer] The function to customize comparisons.\n * @param {boolean} [bitmask] The bitmask of comparison flags.\n *  The bitmask may be composed of the following flags:\n *     1 - Unordered comparison\n *     2 - Partial comparison\n * @param {Object} [stack] Tracks traversed `value` and `other` objects.\n * @returns {boolean} Returns `true` if the values are equivalent, else `false`.\n */\nfunction baseIsEqual(value, other, customizer, bitmask, stack) {\n  if (value === other) {\n    return true;\n  }\n  if (value == null || other == null || (!isObject(value) && !isObjectLike(other))) {\n    return value !== value && other !== other;\n  }\n  return baseIsEqualDeep(value, other, baseIsEqual, customizer, bitmask, stack);\n}\n\n/**\n * A specialized version of `baseIsEqual` for arrays and objects which performs\n * deep comparisons and tracks traversed objects enabling objects with circular\n * references to be compared.\n *\n * @private\n * @param {Object} object The object to compare.\n * @param {Object} other The other object to compare.\n * @param {Function} equalFunc The function to determine equivalents of values.\n * @param {Function} [customizer] The function to customize comparisons.\n * @param {number} [bitmask] The bitmask of comparison flags. See `baseIsEqual`\n *  for more details.\n * @param {Object} [stack] Tracks traversed `object` and `other` objects.\n * @returns {boolean} Returns `true` if the objects are equivalent, else `false`.\n */\nfunction baseIsEqualDeep(object, other, equalFunc, customizer, bitmask, stack) {\n  var objIsArr = isArray(object),\n      othIsArr = isArray(other),\n      objTag = arrayTag,\n      othTag = arrayTag;\n\n  if (!objIsArr) {\n    objTag = getTag(object);\n    objTag = objTag == argsTag ? objectTag : objTag;\n  }\n  if (!othIsArr) {\n    othTag = getTag(other);\n    othTag = othTag == argsTag ? objectTag : othTag;\n  }\n  var objIsObj = objTag == objectTag && !isHostObject(object),\n      othIsObj = othTag == objectTag && !isHostObject(other),\n      isSameTag = objTag == othTag;\n\n  if (isSameTag && !objIsObj) {\n    stack || (stack = new Stack);\n    return (objIsArr || isTypedArray(object))\n      ? equalArrays(object, other, equalFunc, customizer, bitmask, stack)\n      : equalByTag(object, other, objTag, equalFunc, customizer, bitmask, stack);\n  }\n  if (!(bitmask & PARTIAL_COMPARE_FLAG)) {\n    var objIsWrapped = objIsObj && hasOwnProperty.call(object, '__wrapped__'),\n        othIsWrapped = othIsObj && hasOwnProperty.call(other, '__wrapped__');\n\n    if (objIsWrapped || othIsWrapped) {\n      var objUnwrapped = objIsWrapped ? object.value() : object,\n          othUnwrapped = othIsWrapped ? other.value() : other;\n\n      stack || (stack = new Stack);\n      return equalFunc(objUnwrapped, othUnwrapped, customizer, bitmask, stack);\n    }\n  }\n  if (!isSameTag) {\n    return false;\n  }\n  stack || (stack = new Stack);\n  return equalObjects(object, other, equalFunc, customizer, bitmask, stack);\n}\n\n/**\n * The base implementation of `_.isMatch` without support for iteratee shorthands.\n *\n * @private\n * @param {Object} object The object to inspect.\n * @param {Object} source The object of property values to match.\n * @param {Array} matchData The property names, values, and compare flags to match.\n * @param {Function} [customizer] The function to customize comparisons.\n * @returns {boolean} Returns `true` if `object` is a match, else `false`.\n */\nfunction baseIsMatch(object, source, matchData, customizer) {\n  var index = matchData.length,\n      length = index,\n      noCustomizer = !customizer;\n\n  if (object == null) {\n    return !length;\n  }\n  object = Object(object);\n  while (index--) {\n    var data = matchData[index];\n    if ((noCustomizer && data[2])\n          ? data[1] !== object[data[0]]\n          : !(data[0] in object)\n        ) {\n      return false;\n    }\n  }\n  while (++index < length) {\n    data = matchData[index];\n    var key = data[0],\n        objValue = object[key],\n        srcValue = data[1];\n\n    if (noCustomizer && data[2]) {\n      if (objValue === undefined && !(key in object)) {\n        return false;\n      }\n    } else {\n      var stack = new Stack;\n      if (customizer) {\n        var result = customizer(objValue, srcValue, key, object, source, stack);\n      }\n      if (!(result === undefined\n            ? baseIsEqual(srcValue, objValue, customizer, UNORDERED_COMPARE_FLAG | PARTIAL_COMPARE_FLAG, stack)\n            : result\n          )) {\n        return false;\n      }\n    }\n  }\n  return true;\n}\n\n/**\n * The base implementation of `_.isNative` without bad shim checks.\n *\n * @private\n * @param {*} value The value to check.\n * @returns {boolean} Returns `true` if `value` is a native function,\n *  else `false`.\n */\nfunction baseIsNative(value) {\n  if (!isObject(value) || isMasked(value)) {\n    return false;\n  }\n  var pattern = (isFunction(value) || isHostObject(value)) ? reIsNative : reIsHostCtor;\n  return pattern.test(toSource(value));\n}\n\n/**\n * The base implementation of `_.isTypedArray` without Node.js optimizations.\n *\n * @private\n * @param {*} value The value to check.\n * @returns {boolean} Returns `true` if `value` is a typed array, else `false`.\n */\nfunction baseIsTypedArray(value) {\n  return isObjectLike(value) &&\n    isLength(value.length) && !!typedArrayTags[objectToString.call(value)];\n}\n\n/**\n * The base implementation of `_.iteratee`.\n *\n * @private\n * @param {*} [value=_.identity] The value to convert to an iteratee.\n * @returns {Function} Returns the iteratee.\n */\nfunction baseIteratee(value) {\n  // Don't store the `typeof` result in a variable to avoid a JIT bug in Safari 9.\n  // See https://bugs.webkit.org/show_bug.cgi?id=156034 for more details.\n  if (typeof value == 'function') {\n    return value;\n  }\n  if (value == null) {\n    return identity;\n  }\n  if (typeof value == 'object') {\n    return isArray(value)\n      ? baseMatchesProperty(value[0], value[1])\n      : baseMatches(value);\n  }\n  return property(value);\n}\n\n/**\n * The base implementation of `_.keys` which doesn't treat sparse arrays as dense.\n *\n * @private\n * @param {Object} object The object to query.\n * @returns {Array} Returns the array of property names.\n */\nfunction baseKeys(object) {\n  if (!isPrototype(object)) {\n    return nativeKeys(object);\n  }\n  var result = [];\n  for (var key in Object(object)) {\n    if (hasOwnProperty.call(object, key) && key != 'constructor') {\n      result.push(key);\n    }\n  }\n  return result;\n}\n\n/**\n * The base implementation of `_.matches` which doesn't clone `source`.\n *\n * @private\n * @param {Object} source The object of property values to match.\n * @returns {Function} Returns the new spec function.\n */\nfunction baseMatches(source) {\n  var matchData = getMatchData(source);\n  if (matchData.length == 1 && matchData[0][2]) {\n    return matchesStrictComparable(matchData[0][0], matchData[0][1]);\n  }\n  return function(object) {\n    return object === source || baseIsMatch(object, source, matchData);\n  };\n}\n\n/**\n * The base implementation of `_.matchesProperty` which doesn't clone `srcValue`.\n *\n * @private\n * @param {string} path The path of the property to get.\n * @param {*} srcValue The value to match.\n * @returns {Function} Returns the new spec function.\n */\nfunction baseMatchesProperty(path, srcValue) {\n  if (isKey(path) && isStrictComparable(srcValue)) {\n    return matchesStrictComparable(toKey(path), srcValue);\n  }\n  return function(object) {\n    var objValue = get(object, path);\n    return (objValue === undefined && objValue === srcValue)\n      ? hasIn(object, path)\n      : baseIsEqual(srcValue, objValue, undefined, UNORDERED_COMPARE_FLAG | PARTIAL_COMPARE_FLAG);\n  };\n}\n\n/**\n * A specialized version of `baseProperty` which supports deep paths.\n *\n * @private\n * @param {Array|string} path The path of the property to get.\n * @returns {Function} Returns the new accessor function.\n */\nfunction basePropertyDeep(path) {\n  return function(object) {\n    return baseGet(object, path);\n  };\n}\n\n/**\n * The base implementation of `_.toString` which doesn't convert nullish\n * values to empty strings.\n *\n * @private\n * @param {*} value The value to process.\n * @returns {string} Returns the string.\n */\nfunction baseToString(value) {\n  // Exit early for strings to avoid a performance hit in some environments.\n  if (typeof value == 'string') {\n    return value;\n  }\n  if (isSymbol(value)) {\n    return symbolToString ? symbolToString.call(value) : '';\n  }\n  var result = (value + '');\n  return (result == '0' && (1 / value) == -INFINITY) ? '-0' : result;\n}\n\n/**\n * Casts `value` to a path array if it's not one.\n *\n * @private\n * @param {*} value The value to inspect.\n * @returns {Array} Returns the cast property path array.\n */\nfunction castPath(value) {\n  return isArray(value) ? value : stringToPath(value);\n}\n\n/**\n * A specialized version of `baseIsEqualDeep` for arrays with support for\n * partial deep comparisons.\n *\n * @private\n * @param {Array} array The array to compare.\n * @param {Array} other The other array to compare.\n * @param {Function} equalFunc The function to determine equivalents of values.\n * @param {Function} customizer The function to customize comparisons.\n * @param {number} bitmask The bitmask of comparison flags. See `baseIsEqual`\n *  for more details.\n * @param {Object} stack Tracks traversed `array` and `other` objects.\n * @returns {boolean} Returns `true` if the arrays are equivalent, else `false`.\n */\nfunction equalArrays(array, other, equalFunc, customizer, bitmask, stack) {\n  var isPartial = bitmask & PARTIAL_COMPARE_FLAG,\n      arrLength = array.length,\n      othLength = other.length;\n\n  if (arrLength != othLength && !(isPartial && othLength > arrLength)) {\n    return false;\n  }\n  // Assume cyclic values are equal.\n  var stacked = stack.get(array);\n  if (stacked && stack.get(other)) {\n    return stacked == other;\n  }\n  var index = -1,\n      result = true,\n      seen = (bitmask & UNORDERED_COMPARE_FLAG) ? new SetCache : undefined;\n\n  stack.set(array, other);\n  stack.set(other, array);\n\n  // Ignore non-index properties.\n  while (++index < arrLength) {\n    var arrValue = array[index],\n        othValue = other[index];\n\n    if (customizer) {\n      var compared = isPartial\n        ? customizer(othValue, arrValue, index, other, array, stack)\n        : customizer(arrValue, othValue, index, array, other, stack);\n    }\n    if (compared !== undefined) {\n      if (compared) {\n        continue;\n      }\n      result = false;\n      break;\n    }\n    // Recursively compare arrays (susceptible to call stack limits).\n    if (seen) {\n      if (!arraySome(other, function(othValue, othIndex) {\n            if (!seen.has(othIndex) &&\n                (arrValue === othValue || equalFunc(arrValue, othValue, customizer, bitmask, stack))) {\n              return seen.add(othIndex);\n            }\n          })) {\n        result = false;\n        break;\n      }\n    } else if (!(\n          arrValue === othValue ||\n            equalFunc(arrValue, othValue, customizer, bitmask, stack)\n        )) {\n      result = false;\n      break;\n    }\n  }\n  stack['delete'](array);\n  stack['delete'](other);\n  return result;\n}\n\n/**\n * A specialized version of `baseIsEqualDeep` for comparing objects of\n * the same `toStringTag`.\n *\n * **Note:** This function only supports comparing values with tags of\n * `Boolean`, `Date`, `Error`, `Number`, `RegExp`, or `String`.\n *\n * @private\n * @param {Object} object The object to compare.\n * @param {Object} other The other object to compare.\n * @param {string} tag The `toStringTag` of the objects to compare.\n * @param {Function} equalFunc The function to determine equivalents of values.\n * @param {Function} customizer The function to customize comparisons.\n * @param {number} bitmask The bitmask of comparison flags. See `baseIsEqual`\n *  for more details.\n * @param {Object} stack Tracks traversed `object` and `other` objects.\n * @returns {boolean} Returns `true` if the objects are equivalent, else `false`.\n */\nfunction equalByTag(object, other, tag, equalFunc, customizer, bitmask, stack) {\n  switch (tag) {\n    case dataViewTag:\n      if ((object.byteLength != other.byteLength) ||\n          (object.byteOffset != other.byteOffset)) {\n        return false;\n      }\n      object = object.buffer;\n      other = other.buffer;\n\n    case arrayBufferTag:\n      if ((object.byteLength != other.byteLength) ||\n          !equalFunc(new Uint8Array(object), new Uint8Array(other))) {\n        return false;\n      }\n      return true;\n\n    case boolTag:\n    case dateTag:\n    case numberTag:\n      // Coerce booleans to `1` or `0` and dates to milliseconds.\n      // Invalid dates are coerced to `NaN`.\n      return eq(+object, +other);\n\n    case errorTag:\n      return object.name == other.name && object.message == other.message;\n\n    case regexpTag:\n    case stringTag:\n      // Coerce regexes to strings and treat strings, primitives and objects,\n      // as equal. See http://www.ecma-international.org/ecma-262/7.0/#sec-regexp.prototype.tostring\n      // for more details.\n      return object == (other + '');\n\n    case mapTag:\n      var convert = mapToArray;\n\n    case setTag:\n      var isPartial = bitmask & PARTIAL_COMPARE_FLAG;\n      convert || (convert = setToArray);\n\n      if (object.size != other.size && !isPartial) {\n        return false;\n      }\n      // Assume cyclic values are equal.\n      var stacked = stack.get(object);\n      if (stacked) {\n        return stacked == other;\n      }\n      bitmask |= UNORDERED_COMPARE_FLAG;\n\n      // Recursively compare objects (susceptible to call stack limits).\n      stack.set(object, other);\n      var result = equalArrays(convert(object), convert(other), equalFunc, customizer, bitmask, stack);\n      stack['delete'](object);\n      return result;\n\n    case symbolTag:\n      if (symbolValueOf) {\n        return symbolValueOf.call(object) == symbolValueOf.call(other);\n      }\n  }\n  return false;\n}\n\n/**\n * A specialized version of `baseIsEqualDeep` for objects with support for\n * partial deep comparisons.\n *\n * @private\n * @param {Object} object The object to compare.\n * @param {Object} other The other object to compare.\n * @param {Function} equalFunc The function to determine equivalents of values.\n * @param {Function} customizer The function to customize comparisons.\n * @param {number} bitmask The bitmask of comparison flags. See `baseIsEqual`\n *  for more details.\n * @param {Object} stack Tracks traversed `object` and `other` objects.\n * @returns {boolean} Returns `true` if the objects are equivalent, else `false`.\n */\nfunction equalObjects(object, other, equalFunc, customizer, bitmask, stack) {\n  var isPartial = bitmask & PARTIAL_COMPARE_FLAG,\n      objProps = keys(object),\n      objLength = objProps.length,\n      othProps = keys(other),\n      othLength = othProps.length;\n\n  if (objLength != othLength && !isPartial) {\n    return false;\n  }\n  var index = objLength;\n  while (index--) {\n    var key = objProps[index];\n    if (!(isPartial ? key in other : hasOwnProperty.call(other, key))) {\n      return false;\n    }\n  }\n  // Assume cyclic values are equal.\n  var stacked = stack.get(object);\n  if (stacked && stack.get(other)) {\n    return stacked == other;\n  }\n  var result = true;\n  stack.set(object, other);\n  stack.set(other, object);\n\n  var skipCtor = isPartial;\n  while (++index < objLength) {\n    key = objProps[index];\n    var objValue = object[key],\n        othValue = other[key];\n\n    if (customizer) {\n      var compared = isPartial\n        ? customizer(othValue, objValue, key, other, object, stack)\n        : customizer(objValue, othValue, key, object, other, stack);\n    }\n    // Recursively compare objects (susceptible to call stack limits).\n    if (!(compared === undefined\n          ? (objValue === othValue || equalFunc(objValue, othValue, customizer, bitmask, stack))\n          : compared\n        )) {\n      result = false;\n      break;\n    }\n    skipCtor || (skipCtor = key == 'constructor');\n  }\n  if (result && !skipCtor) {\n    var objCtor = object.constructor,\n        othCtor = other.constructor;\n\n    // Non `Object` object instances with different constructors are not equal.\n    if (objCtor != othCtor &&\n        ('constructor' in object && 'constructor' in other) &&\n        !(typeof objCtor == 'function' && objCtor instanceof objCtor &&\n          typeof othCtor == 'function' && othCtor instanceof othCtor)) {\n      result = false;\n    }\n  }\n  stack['delete'](object);\n  stack['delete'](other);\n  return result;\n}\n\n/**\n * Gets the data for `map`.\n *\n * @private\n * @param {Object} map The map to query.\n * @param {string} key The reference key.\n * @returns {*} Returns the map data.\n */\nfunction getMapData(map, key) {\n  var data = map.__data__;\n  return isKeyable(key)\n    ? data[typeof key == 'string' ? 'string' : 'hash']\n    : data.map;\n}\n\n/**\n * Gets the property names, values, and compare flags of `object`.\n *\n * @private\n * @param {Object} object The object to query.\n * @returns {Array} Returns the match data of `object`.\n */\nfunction getMatchData(object) {\n  var result = keys(object),\n      length = result.length;\n\n  while (length--) {\n    var key = result[length],\n        value = object[key];\n\n    result[length] = [key, value, isStrictComparable(value)];\n  }\n  return result;\n}\n\n/**\n * Gets the native function at `key` of `object`.\n *\n * @private\n * @param {Object} object The object to query.\n * @param {string} key The key of the method to get.\n * @returns {*} Returns the function if it's native, else `undefined`.\n */\nfunction getNative(object, key) {\n  var value = getValue(object, key);\n  return baseIsNative(value) ? value : undefined;\n}\n\n/**\n * Gets the `toStringTag` of `value`.\n *\n * @private\n * @param {*} value The value to query.\n * @returns {string} Returns the `toStringTag`.\n */\nvar getTag = baseGetTag;\n\n// Fallback for data views, maps, sets, and weak maps in IE 11,\n// for data views in Edge < 14, and promises in Node.js.\nif ((DataView && getTag(new DataView(new ArrayBuffer(1))) != dataViewTag) ||\n    (Map && getTag(new Map) != mapTag) ||\n    (Promise && getTag(Promise.resolve()) != promiseTag) ||\n    (Set && getTag(new Set) != setTag) ||\n    (WeakMap && getTag(new WeakMap) != weakMapTag)) {\n  getTag = function(value) {\n    var result = objectToString.call(value),\n        Ctor = result == objectTag ? value.constructor : undefined,\n        ctorString = Ctor ? toSource(Ctor) : undefined;\n\n    if (ctorString) {\n      switch (ctorString) {\n        case dataViewCtorString: return dataViewTag;\n        case mapCtorString: return mapTag;\n        case promiseCtorString: return promiseTag;\n        case setCtorString: return setTag;\n        case weakMapCtorString: return weakMapTag;\n      }\n    }\n    return result;\n  };\n}\n\n/**\n * Checks if `path` exists on `object`.\n *\n * @private\n * @param {Object} object The object to query.\n * @param {Array|string} path The path to check.\n * @param {Function} hasFunc The function to check properties.\n * @returns {boolean} Returns `true` if `path` exists, else `false`.\n */\nfunction hasPath(object, path, hasFunc) {\n  path = isKey(path, object) ? [path] : castPath(path);\n\n  var result,\n      index = -1,\n      length = path.length;\n\n  while (++index < length) {\n    var key = toKey(path[index]);\n    if (!(result = object != null && hasFunc(object, key))) {\n      break;\n    }\n    object = object[key];\n  }\n  if (result) {\n    return result;\n  }\n  var length = object ? object.length : 0;\n  return !!length && isLength(length) && isIndex(key, length) &&\n    (isArray(object) || isArguments(object));\n}\n\n/**\n * Checks if `value` is a valid array-like index.\n *\n * @private\n * @param {*} value The value to check.\n * @param {number} [length=MAX_SAFE_INTEGER] The upper bounds of a valid index.\n * @returns {boolean} Returns `true` if `value` is a valid index, else `false`.\n */\nfunction isIndex(value, length) {\n  length = length == null ? MAX_SAFE_INTEGER : length;\n  return !!length &&\n    (typeof value == 'number' || reIsUint.test(value)) &&\n    (value > -1 && value % 1 == 0 && value < length);\n}\n\n/**\n * Checks if `value` is a property name and not a property path.\n *\n * @private\n * @param {*} value The value to check.\n * @param {Object} [object] The object to query keys on.\n * @returns {boolean} Returns `true` if `value` is a property name, else `false`.\n */\nfunction isKey(value, object) {\n  if (isArray(value)) {\n    return false;\n  }\n  var type = typeof value;\n  if (type == 'number' || type == 'symbol' || type == 'boolean' ||\n      value == null || isSymbol(value)) {\n    return true;\n  }\n  return reIsPlainProp.test(value) || !reIsDeepProp.test(value) ||\n    (object != null && value in Object(object));\n}\n\n/**\n * Checks if `value` is suitable for use as unique object key.\n *\n * @private\n * @param {*} value The value to check.\n * @returns {boolean} Returns `true` if `value` is suitable, else `false`.\n */\nfunction isKeyable(value) {\n  var type = typeof value;\n  return (type == 'string' || type == 'number' || type == 'symbol' || type == 'boolean')\n    ? (value !== '__proto__')\n    : (value === null);\n}\n\n/**\n * Checks if `func` has its source masked.\n *\n * @private\n * @param {Function} func The function to check.\n * @returns {boolean} Returns `true` if `func` is masked, else `false`.\n */\nfunction isMasked(func) {\n  return !!maskSrcKey && (maskSrcKey in func);\n}\n\n/**\n * Checks if `value` is likely a prototype object.\n *\n * @private\n * @param {*} value The value to check.\n * @returns {boolean} Returns `true` if `value` is a prototype, else `false`.\n */\nfunction isPrototype(value) {\n  var Ctor = value && value.constructor,\n      proto = (typeof Ctor == 'function' && Ctor.prototype) || objectProto;\n\n  return value === proto;\n}\n\n/**\n * Checks if `value` is suitable for strict equality comparisons, i.e. `===`.\n *\n * @private\n * @param {*} value The value to check.\n * @returns {boolean} Returns `true` if `value` if suitable for strict\n *  equality comparisons, else `false`.\n */\nfunction isStrictComparable(value) {\n  return value === value && !isObject(value);\n}\n\n/**\n * A specialized version of `matchesProperty` for source values suitable\n * for strict equality comparisons, i.e. `===`.\n *\n * @private\n * @param {string} key The key of the property to get.\n * @param {*} srcValue The value to match.\n * @returns {Function} Returns the new spec function.\n */\nfunction matchesStrictComparable(key, srcValue) {\n  return function(object) {\n    if (object == null) {\n      return false;\n    }\n    return object[key] === srcValue &&\n      (srcValue !== undefined || (key in Object(object)));\n  };\n}\n\n/**\n * Converts `string` to a property path array.\n *\n * @private\n * @param {string} string The string to convert.\n * @returns {Array} Returns the property path array.\n */\nvar stringToPath = memoize(function(string) {\n  string = toString(string);\n\n  var result = [];\n  if (reLeadingDot.test(string)) {\n    result.push('');\n  }\n  string.replace(rePropName, function(match, number, quote, string) {\n    result.push(quote ? string.replace(reEscapeChar, '$1') : (number || match));\n  });\n  return result;\n});\n\n/**\n * Converts `value` to a string key if it's not a string or symbol.\n *\n * @private\n * @param {*} value The value to inspect.\n * @returns {string|symbol} Returns the key.\n */\nfunction toKey(value) {\n  if (typeof value == 'string' || isSymbol(value)) {\n    return value;\n  }\n  var result = (value + '');\n  return (result == '0' && (1 / value) == -INFINITY) ? '-0' : result;\n}\n\n/**\n * Converts `func` to its source code.\n *\n * @private\n * @param {Function} func The function to process.\n * @returns {string} Returns the source code.\n */\nfunction toSource(func) {\n  if (func != null) {\n    try {\n      return funcToString.call(func);\n    } catch (e) {}\n    try {\n      return (func + '');\n    } catch (e) {}\n  }\n  return '';\n}\n\n/**\n * This method is like `_.find` except that it returns the index of the first\n * element `predicate` returns truthy for instead of the element itself.\n *\n * @static\n * @memberOf _\n * @since 1.1.0\n * @category Array\n * @param {Array} array The array to inspect.\n * @param {Function} [predicate=_.identity]\n *  The function invoked per iteration.\n * @param {number} [fromIndex=0] The index to search from.\n * @returns {number} Returns the index of the found element, else `-1`.\n * @example\n *\n * var users = [\n *   { 'user': 'barney',  'active': false },\n *   { 'user': 'fred',    'active': false },\n *   { 'user': 'pebbles', 'active': true }\n * ];\n *\n * _.findIndex(users, function(o) { return o.user == 'barney'; });\n * // => 0\n *\n * // The `_.matches` iteratee shorthand.\n * _.findIndex(users, { 'user': 'fred', 'active': false });\n * // => 1\n *\n * // The `_.matchesProperty` iteratee shorthand.\n * _.findIndex(users, ['active', false]);\n * // => 0\n *\n * // The `_.property` iteratee shorthand.\n * _.findIndex(users, 'active');\n * // => 2\n */\nfunction findIndex(array, predicate, fromIndex) {\n  var length = array ? array.length : 0;\n  if (!length) {\n    return -1;\n  }\n  var index = fromIndex == null ? 0 : toInteger(fromIndex);\n  if (index < 0) {\n    index = nativeMax(length + index, 0);\n  }\n  return baseFindIndex(array, baseIteratee(predicate, 3), index);\n}\n\n/**\n * Creates a function that memoizes the result of `func`. If `resolver` is\n * provided, it determines the cache key for storing the result based on the\n * arguments provided to the memoized function. By default, the first argument\n * provided to the memoized function is used as the map cache key. The `func`\n * is invoked with the `this` binding of the memoized function.\n *\n * **Note:** The cache is exposed as the `cache` property on the memoized\n * function. Its creation may be customized by replacing the `_.memoize.Cache`\n * constructor with one whose instances implement the\n * [`Map`](http://ecma-international.org/ecma-262/7.0/#sec-properties-of-the-map-prototype-object)\n * method interface of `delete`, `get`, `has`, and `set`.\n *\n * @static\n * @memberOf _\n * @since 0.1.0\n * @category Function\n * @param {Function} func The function to have its output memoized.\n * @param {Function} [resolver] The function to resolve the cache key.\n * @returns {Function} Returns the new memoized function.\n * @example\n *\n * var object = { 'a': 1, 'b': 2 };\n * var other = { 'c': 3, 'd': 4 };\n *\n * var values = _.memoize(_.values);\n * values(object);\n * // => [1, 2]\n *\n * values(other);\n * // => [3, 4]\n *\n * object.a = 2;\n * values(object);\n * // => [1, 2]\n *\n * // Modify the result cache.\n * values.cache.set(object, ['a', 'b']);\n * values(object);\n * // => ['a', 'b']\n *\n * // Replace `_.memoize.Cache`.\n * _.memoize.Cache = WeakMap;\n */\nfunction memoize(func, resolver) {\n  if (typeof func != 'function' || (resolver && typeof resolver != 'function')) {\n    throw new TypeError(FUNC_ERROR_TEXT);\n  }\n  var memoized = function() {\n    var args = arguments,\n        key = resolver ? resolver.apply(this, args) : args[0],\n        cache = memoized.cache;\n\n    if (cache.has(key)) {\n      return cache.get(key);\n    }\n    var result = func.apply(this, args);\n    memoized.cache = cache.set(key, result);\n    return result;\n  };\n  memoized.cache = new (memoize.Cache || MapCache);\n  return memoized;\n}\n\n// Assign cache to `_.memoize`.\nmemoize.Cache = MapCache;\n\n/**\n * Performs a\n * [`SameValueZero`](http://ecma-international.org/ecma-262/7.0/#sec-samevaluezero)\n * comparison between two values to determine if they are equivalent.\n *\n * @static\n * @memberOf _\n * @since 4.0.0\n * @category Lang\n * @param {*} value The value to compare.\n * @param {*} other The other value to compare.\n * @returns {boolean} Returns `true` if the values are equivalent, else `false`.\n * @example\n *\n * var object = { 'a': 1 };\n * var other = { 'a': 1 };\n *\n * _.eq(object, object);\n * // => true\n *\n * _.eq(object, other);\n * // => false\n *\n * _.eq('a', 'a');\n * // => true\n *\n * _.eq('a', Object('a'));\n * // => false\n *\n * _.eq(NaN, NaN);\n * // => true\n */\nfunction eq(value, other) {\n  return value === other || (value !== value && other !== other);\n}\n\n/**\n * Checks if `value` is likely an `arguments` object.\n *\n * @static\n * @memberOf _\n * @since 0.1.0\n * @category Lang\n * @param {*} value The value to check.\n * @returns {boolean} Returns `true` if `value` is an `arguments` object,\n *  else `false`.\n * @example\n *\n * _.isArguments(function() { return arguments; }());\n * // => true\n *\n * _.isArguments([1, 2, 3]);\n * // => false\n */\nfunction isArguments(value) {\n  // Safari 8.1 makes `arguments.callee` enumerable in strict mode.\n  return isArrayLikeObject(value) && hasOwnProperty.call(value, 'callee') &&\n    (!propertyIsEnumerable.call(value, 'callee') || objectToString.call(value) == argsTag);\n}\n\n/**\n * Checks if `value` is classified as an `Array` object.\n *\n * @static\n * @memberOf _\n * @since 0.1.0\n * @category Lang\n * @param {*} value The value to check.\n * @returns {boolean} Returns `true` if `value` is an array, else `false`.\n * @example\n *\n * _.isArray([1, 2, 3]);\n * // => true\n *\n * _.isArray(document.body.children);\n * // => false\n *\n * _.isArray('abc');\n * // => false\n *\n * _.isArray(_.noop);\n * // => false\n */\nvar isArray = Array.isArray;\n\n/**\n * Checks if `value` is array-like. A value is considered array-like if it's\n * not a function and has a `value.length` that's an integer greater than or\n * equal to `0` and less than or equal to `Number.MAX_SAFE_INTEGER`.\n *\n * @static\n * @memberOf _\n * @since 4.0.0\n * @category Lang\n * @param {*} value The value to check.\n * @returns {boolean} Returns `true` if `value` is array-like, else `false`.\n * @example\n *\n * _.isArrayLike([1, 2, 3]);\n * // => true\n *\n * _.isArrayLike(document.body.children);\n * // => true\n *\n * _.isArrayLike('abc');\n * // => true\n *\n * _.isArrayLike(_.noop);\n * // => false\n */\nfunction isArrayLike(value) {\n  return value != null && isLength(value.length) && !isFunction(value);\n}\n\n/**\n * This method is like `_.isArrayLike` except that it also checks if `value`\n * is an object.\n *\n * @static\n * @memberOf _\n * @since 4.0.0\n * @category Lang\n * @param {*} value The value to check.\n * @returns {boolean} Returns `true` if `value` is an array-like object,\n *  else `false`.\n * @example\n *\n * _.isArrayLikeObject([1, 2, 3]);\n * // => true\n *\n * _.isArrayLikeObject(document.body.children);\n * // => true\n *\n * _.isArrayLikeObject('abc');\n * // => false\n *\n * _.isArrayLikeObject(_.noop);\n * // => false\n */\nfunction isArrayLikeObject(value) {\n  return isObjectLike(value) && isArrayLike(value);\n}\n\n/**\n * Checks if `value` is classified as a `Function` object.\n *\n * @static\n * @memberOf _\n * @since 0.1.0\n * @category Lang\n * @param {*} value The value to check.\n * @returns {boolean} Returns `true` if `value` is a function, else `false`.\n * @example\n *\n * _.isFunction(_);\n * // => true\n *\n * _.isFunction(/abc/);\n * // => false\n */\nfunction isFunction(value) {\n  // The use of `Object#toString` avoids issues with the `typeof` operator\n  // in Safari 8-9 which returns 'object' for typed array and other constructors.\n  var tag = isObject(value) ? objectToString.call(value) : '';\n  return tag == funcTag || tag == genTag;\n}\n\n/**\n * Checks if `value` is a valid array-like length.\n *\n * **Note:** This method is loosely based on\n * [`ToLength`](http://ecma-international.org/ecma-262/7.0/#sec-tolength).\n *\n * @static\n * @memberOf _\n * @since 4.0.0\n * @category Lang\n * @param {*} value The value to check.\n * @returns {boolean} Returns `true` if `value` is a valid length, else `false`.\n * @example\n *\n * _.isLength(3);\n * // => true\n *\n * _.isLength(Number.MIN_VALUE);\n * // => false\n *\n * _.isLength(Infinity);\n * // => false\n *\n * _.isLength('3');\n * // => false\n */\nfunction isLength(value) {\n  return typeof value == 'number' &&\n    value > -1 && value % 1 == 0 && value <= MAX_SAFE_INTEGER;\n}\n\n/**\n * Checks if `value` is the\n * [language type](http://www.ecma-international.org/ecma-262/7.0/#sec-ecmascript-language-types)\n * of `Object`. (e.g. arrays, functions, objects, regexes, `new Number(0)`, and `new String('')`)\n *\n * @static\n * @memberOf _\n * @since 0.1.0\n * @category Lang\n * @param {*} value The value to check.\n * @returns {boolean} Returns `true` if `value` is an object, else `false`.\n * @example\n *\n * _.isObject({});\n * // => true\n *\n * _.isObject([1, 2, 3]);\n * // => true\n *\n * _.isObject(_.noop);\n * // => true\n *\n * _.isObject(null);\n * // => false\n */\nfunction isObject(value) {\n  var type = typeof value;\n  return !!value && (type == 'object' || type == 'function');\n}\n\n/**\n * Checks if `value` is object-like. A value is object-like if it's not `null`\n * and has a `typeof` result of \"object\".\n *\n * @static\n * @memberOf _\n * @since 4.0.0\n * @category Lang\n * @param {*} value The value to check.\n * @returns {boolean} Returns `true` if `value` is object-like, else `false`.\n * @example\n *\n * _.isObjectLike({});\n * // => true\n *\n * _.isObjectLike([1, 2, 3]);\n * // => true\n *\n * _.isObjectLike(_.noop);\n * // => false\n *\n * _.isObjectLike(null);\n * // => false\n */\nfunction isObjectLike(value) {\n  return !!value && typeof value == 'object';\n}\n\n/**\n * Checks if `value` is classified as a `Symbol` primitive or object.\n *\n * @static\n * @memberOf _\n * @since 4.0.0\n * @category Lang\n * @param {*} value The value to check.\n * @returns {boolean} Returns `true` if `value` is a symbol, else `false`.\n * @example\n *\n * _.isSymbol(Symbol.iterator);\n * // => true\n *\n * _.isSymbol('abc');\n * // => false\n */\nfunction isSymbol(value) {\n  return typeof value == 'symbol' ||\n    (isObjectLike(value) && objectToString.call(value) == symbolTag);\n}\n\n/**\n * Checks if `value` is classified as a typed array.\n *\n * @static\n * @memberOf _\n * @since 3.0.0\n * @category Lang\n * @param {*} value The value to check.\n * @returns {boolean} Returns `true` if `value` is a typed array, else `false`.\n * @example\n *\n * _.isTypedArray(new Uint8Array);\n * // => true\n *\n * _.isTypedArray([]);\n * // => false\n */\nvar isTypedArray = nodeIsTypedArray ? baseUnary(nodeIsTypedArray) : baseIsTypedArray;\n\n/**\n * Converts `value` to a finite number.\n *\n * @static\n * @memberOf _\n * @since 4.12.0\n * @category Lang\n * @param {*} value The value to convert.\n * @returns {number} Returns the converted number.\n * @example\n *\n * _.toFinite(3.2);\n * // => 3.2\n *\n * _.toFinite(Number.MIN_VALUE);\n * // => 5e-324\n *\n * _.toFinite(Infinity);\n * // => 1.7976931348623157e+308\n *\n * _.toFinite('3.2');\n * // => 3.2\n */\nfunction toFinite(value) {\n  if (!value) {\n    return value === 0 ? value : 0;\n  }\n  value = toNumber(value);\n  if (value === INFINITY || value === -INFINITY) {\n    var sign = (value < 0 ? -1 : 1);\n    return sign * MAX_INTEGER;\n  }\n  return value === value ? value : 0;\n}\n\n/**\n * Converts `value` to an integer.\n *\n * **Note:** This method is loosely based on\n * [`ToInteger`](http://www.ecma-international.org/ecma-262/7.0/#sec-tointeger).\n *\n * @static\n * @memberOf _\n * @since 4.0.0\n * @category Lang\n * @param {*} value The value to convert.\n * @returns {number} Returns the converted integer.\n * @example\n *\n * _.toInteger(3.2);\n * // => 3\n *\n * _.toInteger(Number.MIN_VALUE);\n * // => 0\n *\n * _.toInteger(Infinity);\n * // => 1.7976931348623157e+308\n *\n * _.toInteger('3.2');\n * // => 3\n */\nfunction toInteger(value) {\n  var result = toFinite(value),\n      remainder = result % 1;\n\n  return result === result ? (remainder ? result - remainder : result) : 0;\n}\n\n/**\n * Converts `value` to a number.\n *\n * @static\n * @memberOf _\n * @since 4.0.0\n * @category Lang\n * @param {*} value The value to process.\n * @returns {number} Returns the number.\n * @example\n *\n * _.toNumber(3.2);\n * // => 3.2\n *\n * _.toNumber(Number.MIN_VALUE);\n * // => 5e-324\n *\n * _.toNumber(Infinity);\n * // => Infinity\n *\n * _.toNumber('3.2');\n * // => 3.2\n */\nfunction toNumber(value) {\n  if (typeof value == 'number') {\n    return value;\n  }\n  if (isSymbol(value)) {\n    return NAN;\n  }\n  if (isObject(value)) {\n    var other = typeof value.valueOf == 'function' ? value.valueOf() : value;\n    value = isObject(other) ? (other + '') : other;\n  }\n  if (typeof value != 'string') {\n    return value === 0 ? value : +value;\n  }\n  value = value.replace(reTrim, '');\n  var isBinary = reIsBinary.test(value);\n  return (isBinary || reIsOctal.test(value))\n    ? freeParseInt(value.slice(2), isBinary ? 2 : 8)\n    : (reIsBadHex.test(value) ? NAN : +value);\n}\n\n/**\n * Converts `value` to a string. An empty string is returned for `null`\n * and `undefined` values. The sign of `-0` is preserved.\n *\n * @static\n * @memberOf _\n * @since 4.0.0\n * @category Lang\n * @param {*} value The value to process.\n * @returns {string} Returns the string.\n * @example\n *\n * _.toString(null);\n * // => ''\n *\n * _.toString(-0);\n * // => '-0'\n *\n * _.toString([1, 2, 3]);\n * // => '1,2,3'\n */\nfunction toString(value) {\n  return value == null ? '' : baseToString(value);\n}\n\n/**\n * Gets the value at `path` of `object`. If the resolved value is\n * `undefined`, the `defaultValue` is returned in its place.\n *\n * @static\n * @memberOf _\n * @since 3.7.0\n * @category Object\n * @param {Object} object The object to query.\n * @param {Array|string} path The path of the property to get.\n * @param {*} [defaultValue] The value returned for `undefined` resolved values.\n * @returns {*} Returns the resolved value.\n * @example\n *\n * var object = { 'a': [{ 'b': { 'c': 3 } }] };\n *\n * _.get(object, 'a[0].b.c');\n * // => 3\n *\n * _.get(object, ['a', '0', 'b', 'c']);\n * // => 3\n *\n * _.get(object, 'a.b.c', 'default');\n * // => 'default'\n */\nfunction get(object, path, defaultValue) {\n  var result = object == null ? undefined : baseGet(object, path);\n  return result === undefined ? defaultValue : result;\n}\n\n/**\n * Checks if `path` is a direct or inherited property of `object`.\n *\n * @static\n * @memberOf _\n * @since 4.0.0\n * @category Object\n * @param {Object} object The object to query.\n * @param {Array|string} path The path to check.\n * @returns {boolean} Returns `true` if `path` exists, else `false`.\n * @example\n *\n * var object = _.create({ 'a': _.create({ 'b': 2 }) });\n *\n * _.hasIn(object, 'a');\n * // => true\n *\n * _.hasIn(object, 'a.b');\n * // => true\n *\n * _.hasIn(object, ['a', 'b']);\n * // => true\n *\n * _.hasIn(object, 'b');\n * // => false\n */\nfunction hasIn(object, path) {\n  return object != null && hasPath(object, path, baseHasIn);\n}\n\n/**\n * Creates an array of the own enumerable property names of `object`.\n *\n * **Note:** Non-object values are coerced to objects. See the\n * [ES spec](http://ecma-international.org/ecma-262/7.0/#sec-object.keys)\n * for more details.\n *\n * @static\n * @since 0.1.0\n * @memberOf _\n * @category Object\n * @param {Object} object The object to query.\n * @returns {Array} Returns the array of property names.\n * @example\n *\n * function Foo() {\n *   this.a = 1;\n *   this.b = 2;\n * }\n *\n * Foo.prototype.c = 3;\n *\n * _.keys(new Foo);\n * // => ['a', 'b'] (iteration order is not guaranteed)\n *\n * _.keys('hi');\n * // => ['0', '1']\n */\nfunction keys(object) {\n  return isArrayLike(object) ? arrayLikeKeys(object) : baseKeys(object);\n}\n\n/**\n * This method returns the first argument it receives.\n *\n * @static\n * @since 0.1.0\n * @memberOf _\n * @category Util\n * @param {*} value Any value.\n * @returns {*} Returns `value`.\n * @example\n *\n * var object = { 'a': 1 };\n *\n * console.log(_.identity(object) === object);\n * // => true\n */\nfunction identity(value) {\n  return value;\n}\n\n/**\n * Creates a function that returns the value at `path` of a given object.\n *\n * @static\n * @memberOf _\n * @since 2.4.0\n * @category Util\n * @param {Array|string} path The path of the property to get.\n * @returns {Function} Returns the new accessor function.\n * @example\n *\n * var objects = [\n *   { 'a': { 'b': 2 } },\n *   { 'a': { 'b': 1 } }\n * ];\n *\n * _.map(objects, _.property('a.b'));\n * // => [2, 1]\n *\n * _.map(_.sortBy(objects, _.property(['a', 'b'])), 'a.b');\n * // => [1, 2]\n */\nfunction property(path) {\n  return isKey(path) ? baseProperty(toKey(path)) : basePropertyDeep(path);\n}\n\nmodule.exports = findIndex;\n","export * from \"-!../../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PositionsManagement.vue?vue&type=style&index=1&id=358eef66&prod&lang=scss&scoped=true\"","'use strict';\nvar toLength = require('../internals/to-length');\n\n// `LengthOfArrayLike` abstract operation\n// https://tc39.es/ecma262/#sec-lengthofarraylike\nmodule.exports = function (obj) {\n  return toLength(obj.length);\n};\n","<template>\r\n  <div class=\"app\">\r\n    <slot />\r\n  </div>\r\n</template>\r\n<script lang=\"ts\">\r\nimport Vue from 'vue';\r\n\r\nexport default Vue.extend({\r\n  data() {\r\n    return {};\r\n  },\r\n  // beforeMount() {\r\n  //   import('./styles/carbon.scss');\r\n  //   import('./styles/styles.scss');\r\n  // }\r\n});\r\n</script>\r\n\r\n<style lang=\"scss\">\r\n@import './styles/carbon.scss';\r\n@import './styles/styles.scss';\r\n</style>\r\n<!-- Load Google Fonts -->\r\n<script src=\"https://ajax.googleapis.com/ajax/libs/webfont/1.5.10/webfont.js\"></script>\r\n<script lang=\"js\">\r\nvar WebFont = require('webfontloader');\r\nWebFont.load({\r\n  google: {\r\n    families: ['Roboto', 'Open Sans', 'Montserrat', 'Poppins', 'Nunito', 'Source Sans Pro',\r\n    'Oxygen', 'Sora', 'Hahmlet', 'Andada Pro', 'Epilogue', 'JetBrains Mono', 'Inter', 'Encode Sans',\r\n    'Manrope', 'Lora', 'Playfair Display', 'Archivo', 'Oswald', 'Cormorant'],\r\n  },\r\n});\r\n</script>\r\n","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PrintPositionBox.vue?vue&type=style&index=0&id=59834f29&prod&lang=scss\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"ca3b2f54\", content, shadowRoot)\n};","export * from \"-!../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./ActionBar.vue?vue&type=style&index=0&id=b2ad8d80&prod&lang=scss\"","import {\r\n  AnnotationShape,\r\n  MirrorShape,\r\n  RectangleArea,\r\n} from '@/web-components/import-wizard-v2/typings/common';\r\nimport { useStore as useProductStore } from './product';\r\nimport { useStore as useShapeStore } from './shape';\r\n\r\nimport { defineStore } from 'pinia';\r\nimport { v4 as uuidv4 } from 'uuid';\r\nimport { PositionMirrorSettings } from '@/web-components/import-wizard/typings/common/mirror';\r\nimport {\r\n  LanyardConfiguration as ProofLanyardCOnfiguration,\r\n  Category,\r\n} from '@midocean/webapps-shared-domain';\r\nimport { Proof } from '@midocean/webapps-shared-domain';\r\nimport { MirrorSnapshot } from '@/typings/historyV2';\r\n\r\nexport const useStore = defineStore({\r\n  id: 'mirror',\r\n  state: () => {\r\n    return {\r\n      mirrorShapes: [] as MirrorShape[],\r\n      positionMirrorShapeMap: [] as Record<string, string>[],\r\n      positionMirrorSettings: [] as PositionMirrorSettings[],\r\n    };\r\n  },\r\n  getters: {\r\n    isMirrorEffectAppliedToShape: (state) => {\r\n      return (shapeId: string): boolean => {\r\n        return (\r\n          state.mirrorShapes.findIndex((x) => x.originalShapeId === shapeId) !==\r\n          -1\r\n        );\r\n      };\r\n    },\r\n    currentMirrorSettings: (state) => {\r\n      const productStore = useProductStore();\r\n      return state.positionMirrorSettings.find(\r\n        (x) => x.positionId === productStore.selectedPrintPosition.id\r\n      );\r\n    },\r\n  },\r\n  actions: {\r\n    getActiveMirrorShapes(): MirrorShape[] {\r\n      const productStore = useProductStore();\r\n      return this.mirrorShapes.length > 0\r\n        ? [\r\n            ...this.mirrorShapes.filter((shape) =>\r\n              this.positionMirrorShapeMap.some(\r\n                (psm) =>\r\n                  psm.positionId === productStore.selectedPrintPosition.id &&\r\n                  psm.mirrorId === shape.id\r\n              )\r\n            ),\r\n          ]\r\n        : [];\r\n    },\r\n\r\n    reassignMirrorShapes({ from, to }: { from: string; to: string }) {\r\n      if (from === to) {\r\n        return;\r\n      }\r\n\r\n      const productStore = useProductStore();\r\n\r\n      const productPrintPosition = productStore.data.productPrintPositions.find(\r\n        (x) => x.id === to\r\n      );\r\n      if (\r\n        productPrintPosition &&\r\n        productPrintPosition.category === Category.Lanyard\r\n      ) {\r\n        const reassignedFromTo = this.positionMirrorShapeMap.map((psm) => {\r\n          return psm.positionId === from ? { ...psm, positionId: to } : psm;\r\n        });\r\n        this.positionMirrorShapeMap = reassignedFromTo;\r\n      } else {\r\n        this.mirrorShapes = [];\r\n        this.positionMirrorSettings = [];\r\n      }\r\n    },\r\n\r\n    initializeMirrorSetting() {\r\n      const productStore = useProductStore();\r\n      productStore.unavailablePrintPositions.forEach((p) => {\r\n        const productPrintPosition =\r\n          productStore.data.productPrintPositions.find(\r\n            (x) => x.name === p.printPositionSAPCode\r\n          );\r\n        if (\r\n          productPrintPosition &&\r\n          productPrintPosition.category === Category.Lanyard\r\n        ) {\r\n          const area = productStore.printPositionArea(\r\n            p.positionId,\r\n            true\r\n          ) as RectangleArea;\r\n          this.positionMirrorSettings.push({\r\n            positionId: p.positionId,\r\n            isMirrorApplied: false,\r\n            isOppositeRotationApplied: false,\r\n            distance: area.distanceOfMirrorPx,\r\n            distanceMm: area.distanceOfMirrorMm,\r\n          });\r\n        }\r\n      });\r\n    },\r\n\r\n    initializeMirrorSettingsFromProof(proof: Proof) {\r\n      const productStore = useProductStore();\r\n      productStore.unavailablePrintPositions.forEach((p) => {\r\n        const proofPrintPosition = proof.productPrintPositions.find(\r\n          (x) => x.name === p.printPositionSAPCode\r\n        );\r\n        if (\r\n          proofPrintPosition &&\r\n          proofPrintPosition.category.toString() === Category.Lanyard.toString()\r\n        ) {\r\n          const productPrintPosition =\r\n            productStore.data.productPrintPositions.find(\r\n              (x) => x.name === proofPrintPosition.name\r\n            );\r\n\r\n          if (\r\n            productPrintPosition &&\r\n            productPrintPosition.category === Category.Lanyard\r\n          ) {\r\n            const area = productStore.printPositionArea(\r\n              p.positionId,\r\n              true\r\n            ) as RectangleArea;\r\n\r\n            const proofConfiguration =\r\n              proofPrintPosition.categoryConfiguration as ProofLanyardCOnfiguration;\r\n            this.positionMirrorSettings.push({\r\n              positionId: p.positionId,\r\n              isMirrorApplied: proofConfiguration.isMirrorApplied,\r\n              isOppositeRotationApplied:\r\n                proofConfiguration.isOppositeRotationApplied,\r\n              distance: area.distanceOfMirrorPx,\r\n              distanceMm: area.distanceOfMirrorMm,\r\n            });\r\n          }\r\n        }\r\n      });\r\n\r\n      this.initializeMirrorPositions();\r\n    },\r\n\r\n    addPositionMirrorSettings(\r\n      positionId: string,\r\n      isMirrorApplied: boolean,\r\n      isOppositeRotationApplied: boolean\r\n    ) {\r\n      const productStore = useProductStore();\r\n\r\n      const productPrintPosition = productStore.data.productPrintPositions.find(\r\n        (x) => x.id === positionId\r\n      );\r\n      if (\r\n        productPrintPosition &&\r\n        productPrintPosition.category === Category.Lanyard\r\n      ) {\r\n        const area = productStore.printPositionArea(\r\n          productPrintPosition.id,\r\n          true\r\n        ) as RectangleArea;\r\n        this.positionMirrorSettings.push({\r\n          positionId: positionId,\r\n          isMirrorApplied: isMirrorApplied,\r\n          isOppositeRotationApplied: isOppositeRotationApplied,\r\n          distance: area.distanceOfMirrorPx,\r\n          distanceMm: area.distanceOfMirrorMm,\r\n        });\r\n      }\r\n    },\r\n\r\n    removePositionMirrorSettings(positionId: string) {\r\n      const idx = this.positionMirrorSettings.findIndex(\r\n        (x) => x.positionId === positionId\r\n      );\r\n      if (idx !== -1) {\r\n        this.positionMirrorSettings.splice(idx, 1);\r\n        this.positionMirrorShapeMap = this.positionMirrorShapeMap.filter(\r\n          (x) => x.positionId !== positionId\r\n        );\r\n      }\r\n    },\r\n\r\n    addMirrorShape(originalShape: AnnotationShape) {\r\n      const productStore = useProductStore();\r\n      if (this.currentMirrorSettings) {\r\n        const rotation = this.currentMirrorSettings.isOppositeRotationApplied\r\n          ? (originalShape.rotation + 180) % 360\r\n          : originalShape.rotation;\r\n\r\n        const mirroredShape: MirrorShape = {\r\n          ...originalShape,\r\n          originalShapeId: originalShape.id,\r\n          id: uuidv4(),\r\n          y: originalShape.y + this.currentMirrorSettings.distance,\r\n          yOnProductMM:\r\n            originalShape.yOnProductMM + this.currentMirrorSettings.distanceMm,\r\n          rotation: rotation * (Math.PI / 180),\r\n          disableManipulate: false,\r\n          disableSelect: true,\r\n          isSelected: false,\r\n        };\r\n\r\n        this.mirrorShapes.push(mirroredShape);\r\n\r\n        this.positionMirrorShapeMap.push({\r\n          positionId: productStore.selectedPrintPosition.id,\r\n          mirrorId: mirroredShape.id,\r\n        });\r\n      }\r\n    },\r\n\r\n    addMirrorShapeToPosition(\r\n      originalShape: AnnotationShape,\r\n      positionId: string\r\n    ) {\r\n      const mirrorSettings = this.positionMirrorSettings.find(\r\n        (x) => x.positionId === positionId\r\n      );\r\n      if (mirrorSettings) {\r\n        const rotation = mirrorSettings.isOppositeRotationApplied\r\n          ? (originalShape.rotation + 180) % 360\r\n          : originalShape.rotation;\r\n\r\n        const mirroredShape: MirrorShape = {\r\n          ...originalShape,\r\n          originalShapeId: originalShape.id,\r\n          id: uuidv4(),\r\n          y: originalShape.y + mirrorSettings.distance,\r\n          yOnProductMM: originalShape.yOnProductMM + mirrorSettings.distanceMm,\r\n          rotation: rotation * (Math.PI / 180),\r\n          disableManipulate: false,\r\n          disableSelect: true,\r\n          isSelected: false,\r\n        };\r\n\r\n        this.mirrorShapes.push(mirroredShape);\r\n\r\n        this.positionMirrorShapeMap.push({\r\n          positionId: mirrorSettings.positionId,\r\n          mirrorId: mirroredShape.id,\r\n        });\r\n      }\r\n    },\r\n\r\n    removeMirrorShapes(positionId: string) {\r\n      this.positionMirrorShapeMap.forEach((shapePosition, index) => {\r\n        const idx = this.mirrorShapes.findIndex(\r\n          (x) => x.id === shapePosition.mirrorId\r\n        );\r\n        if (idx !== -1) {\r\n          this.mirrorShapes.splice(idx, 1);\r\n        }\r\n      });\r\n      this.positionMirrorShapeMap = this.positionMirrorShapeMap.filter(\r\n        (x) => x.positionId != positionId\r\n      );\r\n    },\r\n\r\n    removeMirrorShape(originalShapeId: string) {\r\n      const idx = this.mirrorShapes.findIndex(\r\n        (x) => x.originalShapeId === originalShapeId\r\n      );\r\n\r\n      if (idx !== -1) {\r\n        this.positionMirrorShapeMap = this.positionMirrorShapeMap.filter(\r\n          (x) => x.mirrorId != this.mirrorShapes[idx].id\r\n        );\r\n\r\n        this.mirrorShapes.splice(idx, 1);\r\n      }\r\n    },\r\n\r\n    updateMirrorShape(originalShape: AnnotationShape) {\r\n      const mirrorShapeIdx = this.mirrorShapes.findIndex(\r\n        (x) => x.originalShapeId === originalShape.id\r\n      );\r\n\r\n      if (mirrorShapeIdx !== -1 && this.currentMirrorSettings) {\r\n        const mirrorShape = this.mirrorShapes[mirrorShapeIdx];\r\n\r\n        if (mirrorShape.kind === 'Logo' && originalShape.kind === 'Logo') {\r\n          mirrorShape.aspectRatio = originalShape.aspectRatio;\r\n        }\r\n\r\n        if (mirrorShape.kind === 'Text' && originalShape.kind === 'Text') {\r\n          mirrorShape.w2pText.color = originalShape.w2pText.color;\r\n          mirrorShape.w2pText.text = originalShape.w2pText.text;\r\n          mirrorShape.w2pText.fontSize = originalShape.w2pText.fontSize;\r\n          mirrorShape.w2pText.fontWeight = originalShape.w2pText.fontWeight;\r\n          mirrorShape.w2pText.fontStyle = originalShape.w2pText.fontStyle;\r\n          mirrorShape.w2pText.textAlign = originalShape.w2pText.textAlign;\r\n          mirrorShape.w2pText.fontFamily = originalShape.w2pText.fontFamily;\r\n        }\r\n\r\n        const rotation = this.currentMirrorSettings.isOppositeRotationApplied\r\n          ? (originalShape.rotation + Math.PI) % (2 * Math.PI)\r\n          : originalShape.rotation;\r\n\r\n        this.mirrorShapes.splice(mirrorShapeIdx, 1, {\r\n          ...mirrorShape,\r\n          x: originalShape.x,\r\n          y: originalShape.y + this.currentMirrorSettings.distance,\r\n          yOnProductMM:\r\n            originalShape.yOnProductMM + this.currentMirrorSettings.distanceMm,\r\n          xOnProductMM: originalShape.xOnProductMM,\r\n          width: originalShape.width,\r\n          height: originalShape.height,\r\n          widthOnProductMM: originalShape.widthOnProductMM,\r\n          heightOnProductMM: originalShape.heightOnProductMM,\r\n          rotation: rotation,\r\n          backgroundImage: originalShape.backgroundImage,\r\n          pngFile: originalShape.pngFile,\r\n          pngFileWithoutConverters: originalShape.pngFileWithoutConverters,\r\n        });\r\n      }\r\n    },\r\n\r\n    updateRotation(isOppositeRotationApplied: boolean) {\r\n      const shapeStore = useShapeStore();\r\n      const productStore = useProductStore();\r\n      const settingsIdx = this.positionMirrorSettings.findIndex(\r\n        (x) => x.positionId === productStore.selectedPrintPosition.id\r\n      );\r\n      if (this.currentMirrorSettings) {\r\n        this.positionMirrorSettings.splice(settingsIdx, 1, {\r\n          ...this.currentMirrorSettings,\r\n          isOppositeRotationApplied,\r\n        });\r\n\r\n        //Rotate only on selected position\r\n        const mirrorShapesFromSelectedPosition =\r\n          this.positionMirrorShapeMap.filter(\r\n            (x) => x.positionId === productStore.selectedPrintPosition.id\r\n          );\r\n\r\n        mirrorShapesFromSelectedPosition.forEach((mirrorShapePosition, idx) => {\r\n          const idM = this.mirrorShapes.findIndex(\r\n            (s) => s.id === mirrorShapePosition.mirrorId\r\n          );\r\n\r\n          const mirrorShape = this.mirrorShapes.find(\r\n            (s) => s.id === mirrorShapePosition.mirrorId\r\n          ) as MirrorShape;\r\n\r\n          const originalShape = shapeStore.shapes.find(\r\n            (s) => s.id === mirrorShape.originalShapeId\r\n          );\r\n          if (originalShape) {\r\n            const rotation = isOppositeRotationApplied\r\n              ? (originalShape.rotation + Math.PI) % (2 * Math.PI)\r\n              : originalShape.rotation;\r\n\r\n            this.mirrorShapes.splice(idM, 1, {\r\n              ...mirrorShape,\r\n              rotation: rotation,\r\n            });\r\n          }\r\n        });\r\n      }\r\n    },\r\n\r\n    updateMirror(isMirrorApplied: boolean) {\r\n      const productStore = useProductStore();\r\n      const settingsIdx = this.positionMirrorSettings.findIndex(\r\n        (x) => x.positionId === productStore.selectedPrintPosition.id\r\n      );\r\n      if (this.currentMirrorSettings) {\r\n        this.positionMirrorSettings.splice(settingsIdx, 1, {\r\n          ...this.currentMirrorSettings,\r\n          isMirrorApplied,\r\n        });\r\n\r\n        this.removeMirrorShapes(productStore.selectedPrintPosition.id);\r\n\r\n        if (isMirrorApplied) {\r\n          const productStore = useProductStore();\r\n          const shapeStore = useShapeStore();\r\n          const originalShapes = shapeStore.shapes.filter((shape) =>\r\n            shapeStore.positionShapeMap.some(\r\n              (psm) =>\r\n                psm.id === productStore.selectedPrintPosition.id &&\r\n                psm.logoId === shape.id\r\n            )\r\n          );\r\n\r\n          originalShapes.forEach((shape) => this.addMirrorShape(shape));\r\n        }\r\n      }\r\n    },\r\n\r\n    initializeMirrorPositions() {\r\n      const shapeStore = useShapeStore();\r\n      const productStore = useProductStore();\r\n\r\n      for (const position of productStore.unavailablePrintPositions) {\r\n        const mirrorPostionSettingsIdx = this.positionMirrorSettings.findIndex(\r\n          (x) => x.positionId === position.positionId\r\n        );\r\n\r\n        if (mirrorPostionSettingsIdx !== -1) {\r\n          const isMirrorApplied =\r\n            this.positionMirrorSettings[mirrorPostionSettingsIdx]\r\n              .isMirrorApplied;\r\n\r\n          if (isMirrorApplied) {\r\n            const positionOriginalShapesIds =\r\n              shapeStore.positionShapeMap.filter(\r\n                (x) => x.id === position.positionId\r\n              );\r\n\r\n            for (const positionShapeID of positionOriginalShapesIds) {\r\n              const originalShape = shapeStore.shapes.find(\r\n                (x) => x.id === positionShapeID.logoId\r\n              );\r\n              if (originalShape) {\r\n                this.addMirrorShapeToPosition(\r\n                  originalShape,\r\n                  position.positionId\r\n                );\r\n              }\r\n            }\r\n          }\r\n        }\r\n      }\r\n    },\r\n\r\n    updateMirrorStateFromSnapshot(snapshot: MirrorSnapshot) {\r\n      this.$patch((state) => {\r\n        if (snapshot !== undefined) {\r\n          state.mirrorShapes = snapshot.mirrorShapes;\r\n          state.positionMirrorSettings = snapshot.positionMirrorSettings;\r\n          state.positionMirrorShapeMap = snapshot.positionMirrorShapeMap;\r\n        }\r\n      });\r\n    },\r\n  },\r\n});\r\n","'use strict';\n\nvar utils = require('./../utils');\nvar buildURL = require('../helpers/buildURL');\nvar InterceptorManager = require('./InterceptorManager');\nvar dispatchRequest = require('./dispatchRequest');\nvar mergeConfig = require('./mergeConfig');\nvar validator = require('../helpers/validator');\n\nvar validators = validator.validators;\n/**\n * Create a new instance of Axios\n *\n * @param {Object} instanceConfig The default config for the instance\n */\nfunction Axios(instanceConfig) {\n  this.defaults = instanceConfig;\n  this.interceptors = {\n    request: new InterceptorManager(),\n    response: new InterceptorManager()\n  };\n}\n\n/**\n * Dispatch a request\n *\n * @param {Object} config The config specific for this request (merged with this.defaults)\n */\nAxios.prototype.request = function request(config) {\n  /*eslint no-param-reassign:0*/\n  // Allow for axios('example/url'[, config]) a la fetch API\n  if (typeof config === 'string') {\n    config = arguments[1] || {};\n    config.url = arguments[0];\n  } else {\n    config = config || {};\n  }\n\n  config = mergeConfig(this.defaults, config);\n\n  // Set config.method\n  if (config.method) {\n    config.method = config.method.toLowerCase();\n  } else if (this.defaults.method) {\n    config.method = this.defaults.method.toLowerCase();\n  } else {\n    config.method = 'get';\n  }\n\n  var transitional = config.transitional;\n\n  if (transitional !== undefined) {\n    validator.assertOptions(transitional, {\n      silentJSONParsing: validators.transitional(validators.boolean, '1.0.0'),\n      forcedJSONParsing: validators.transitional(validators.boolean, '1.0.0'),\n      clarifyTimeoutError: validators.transitional(validators.boolean, '1.0.0')\n    }, false);\n  }\n\n  // filter out skipped interceptors\n  var requestInterceptorChain = [];\n  var synchronousRequestInterceptors = true;\n  this.interceptors.request.forEach(function unshiftRequestInterceptors(interceptor) {\n    if (typeof interceptor.runWhen === 'function' && interceptor.runWhen(config) === false) {\n      return;\n    }\n\n    synchronousRequestInterceptors = synchronousRequestInterceptors && interceptor.synchronous;\n\n    requestInterceptorChain.unshift(interceptor.fulfilled, interceptor.rejected);\n  });\n\n  var responseInterceptorChain = [];\n  this.interceptors.response.forEach(function pushResponseInterceptors(interceptor) {\n    responseInterceptorChain.push(interceptor.fulfilled, interceptor.rejected);\n  });\n\n  var promise;\n\n  if (!synchronousRequestInterceptors) {\n    var chain = [dispatchRequest, undefined];\n\n    Array.prototype.unshift.apply(chain, requestInterceptorChain);\n    chain = chain.concat(responseInterceptorChain);\n\n    promise = Promise.resolve(config);\n    while (chain.length) {\n      promise = promise.then(chain.shift(), chain.shift());\n    }\n\n    return promise;\n  }\n\n\n  var newConfig = config;\n  while (requestInterceptorChain.length) {\n    var onFulfilled = requestInterceptorChain.shift();\n    var onRejected = requestInterceptorChain.shift();\n    try {\n      newConfig = onFulfilled(newConfig);\n    } catch (error) {\n      onRejected(error);\n      break;\n    }\n  }\n\n  try {\n    promise = dispatchRequest(newConfig);\n  } catch (error) {\n    return Promise.reject(error);\n  }\n\n  while (responseInterceptorChain.length) {\n    promise = promise.then(responseInterceptorChain.shift(), responseInterceptorChain.shift());\n  }\n\n  return promise;\n};\n\nAxios.prototype.getUri = function getUri(config) {\n  config = mergeConfig(this.defaults, config);\n  return buildURL(config.url, config.params, config.paramsSerializer).replace(/^\\?/, '');\n};\n\n// Provide aliases for supported request methods\nutils.forEach(['delete', 'get', 'head', 'options'], function forEachMethodNoData(method) {\n  /*eslint func-names:0*/\n  Axios.prototype[method] = function(url, config) {\n    return this.request(mergeConfig(config || {}, {\n      method: method,\n      url: url,\n      data: (config || {}).data\n    }));\n  };\n});\n\nutils.forEach(['post', 'put', 'patch'], function forEachMethodWithData(method) {\n  /*eslint func-names:0*/\n  Axios.prototype[method] = function(url, data, config) {\n    return this.request(mergeConfig(config || {}, {\n      method: method,\n      url: url,\n      data: data\n    }));\n  };\n});\n\nmodule.exports = Axios;\n","'use strict';\n\nvar test = {\n\t__proto__: null,\n\tfoo: {}\n};\n\nvar $Object = Object;\n\n/** @type {import('.')} */\nmodule.exports = function hasProto() {\n\t// @ts-expect-error: TS errors on an inherited property for some reason\n\treturn { __proto__: test }.foo === test.foo\n\t\t&& !(test instanceof $Object);\n};\n","import { defineStore } from 'pinia';\r\nimport { textShapes, useStore as useShapeStore } from './shape';\r\nimport { useStore as useProductStore } from './product';\r\n\r\nimport { nonTextShapes } from './shape';\r\nimport {\r\n  LogoShape,\r\n  TextShape,\r\n} from '@/web-components/import-wizard/typings/pintura';\r\nimport FileService from '@/services/FileService';\r\nimport { PmsColor } from '@midocean/webapps-shared-domain';\r\n\r\nexport const useStore = defineStore({\r\n  id: 'colorManagement',\r\n\r\n  state: () => {\r\n    return {\r\n      pmsColorsInUse: [] as PmsColor[],\r\n      availablePmsColors: [] as PmsColor[],\r\n      lastPalette: '',\r\n      isPaletteChanged: false,\r\n    };\r\n  },\r\n\r\n  getters: {\r\n    getPmsColorsOnPrintPosition(): PmsColor[] {\r\n      const shapeStore = useShapeStore();\r\n      const productStore = useProductStore();\r\n\r\n      const shapes = shapeStore.shapes;\r\n\r\n      const nonTextPrintPositionShapes = shapes\r\n        .filter((shape) =>\r\n          shapeStore.positionShapeMap.some(\r\n            (psm) =>\r\n              psm.id === productStore.selectedPrintPosition.id &&\r\n              psm.logoId === shape.id\r\n          )\r\n        )\r\n        .filter(nonTextShapes) as LogoShape[];\r\n\r\n      const allPmsColorsInArtworks = nonTextPrintPositionShapes.reduce<\r\n        PmsColor[]\r\n      >((prev, curr) => {\r\n        return [...prev, ...curr.pmsColorsInPngFile];\r\n      }, []);\r\n\r\n      const textPrintPositionShapes = shapes\r\n        .filter((shape) =>\r\n          shapeStore.positionShapeMap.some(\r\n            (psm) =>\r\n              psm.id === productStore.selectedPrintPosition.id &&\r\n              psm.logoId === shape.id\r\n          )\r\n        )\r\n        .filter(textShapes) as TextShape[];\r\n\r\n      const textPmsColors =\r\n        this.availablePmsColors.length > 0\r\n          ? textPrintPositionShapes.map((text) => {\r\n              return this.availablePmsColors.find(\r\n                (c) => c.name === text.w2pText.colorName\r\n              ) as PmsColor;\r\n            })\r\n          : [];\r\n\r\n      // All the colours on the current print position\r\n      const allPmsColors = [...allPmsColorsInArtworks, ...textPmsColors];\r\n\r\n      const uniquePmsColors = [\r\n        ...new Map(allPmsColors.map((item) => [item['name'], item])).values(),\r\n      ];\r\n\r\n      return uniquePmsColors;\r\n    },\r\n  },\r\n\r\n  actions: {\r\n    async getAvailablePmsColors() {\r\n      try {\r\n        const productStore = useProductStore();\r\n        const shapesStore = useShapeStore();\r\n        const selectedPrintPosition =\r\n          productStore.unavailablePrintPositions.find(\r\n            (x) => x.positionId === productStore.selectedPrintPosition.id\r\n          );\r\n        this.isPaletteChanged = false;\r\n\r\n        if (selectedPrintPosition?.technique.printTechniqueSAPCode === 'TC') {\r\n          if (this.lastPalette !== 'TC') {\r\n            const { data } = await FileService.getAvailablePmsColors('TC');\r\n            this.availablePmsColors = data;\r\n            this.lastPalette = 'TC';\r\n            this.isPaletteChanged = true;\r\n          }\r\n        } else if (\r\n          selectedPrintPosition?.technique.groupCode === 'TS' ||\r\n          selectedPrintPosition?.technique.groupCode === 'TSM' ||\r\n          selectedPrintPosition?.technique.groupCode === 'TST'\r\n        ) {\r\n          if (this.lastPalette !== 'TS') {\r\n            const { data } = await FileService.getAvailablePmsColors('TS');\r\n            this.availablePmsColors = data;\r\n            this.lastPalette = 'TS';\r\n            this.isPaletteChanged = true;\r\n          }\r\n        } else {\r\n          if (this.lastPalette !== 'ALL') {\r\n            const { data } = await FileService.getAvailablePmsColors();\r\n            this.availablePmsColors = data;\r\n            this.lastPalette = 'ALL';\r\n            this.isPaletteChanged = true;\r\n          }\r\n        }\r\n\r\n        if (this.isPaletteChanged) {\r\n          //Check all proposed colors, and propose again closest from new palette\r\n          const allShapes = shapesStore.shapes;\r\n          allShapes.forEach((shape) => {\r\n            if (\r\n              shapesStore.positionShapeMap.find((x) => x.logoId === shape.id)\r\n                ?.id === selectedPrintPosition?.positionId\r\n            ) {\r\n              if (shape.kind === 'Logo') {\r\n                this.changeToClosestPantonesFromPalette(shape);\r\n              } else if (shape.kind === 'Text') {\r\n                this.changeToClosestPantoneFromPalette(shape);\r\n              }\r\n            }\r\n          });\r\n        }\r\n        return this.availablePmsColors;\r\n      } catch (error) {\r\n        console.log('An error occurred', error);\r\n      }\r\n    },\r\n    changeToClosestPantonesFromPalette(shape: LogoShape) {\r\n      shape.pmsColorsInPngFile.forEach((shapeColor) => {\r\n        let smallestFuzzDistance = 100;\r\n        this.availablePmsColors.forEach((pantoneColor) => {\r\n          const fuzzDistance = this.getFuzzDistance(\r\n            shapeColor.red,\r\n            pantoneColor.red,\r\n            shapeColor.green,\r\n            pantoneColor.green,\r\n            shapeColor.blue,\r\n            pantoneColor.blue\r\n          );\r\n          if (fuzzDistance < smallestFuzzDistance) {\r\n            smallestFuzzDistance = fuzzDistance;\r\n            shapeColor.name = pantoneColor.name;\r\n          }\r\n        });\r\n      });\r\n    },\r\n    changeColorsToClosestPantonesFromPalette(colors: PmsColor[]) {\r\n      colors.forEach((color) => {\r\n        let smallestFuzzDistance = 100;\r\n        this.availablePmsColors.forEach((pantoneColor) => {\r\n          const fuzzDistance = this.getFuzzDistance(\r\n            color.red,\r\n            pantoneColor.red,\r\n            color.green,\r\n            pantoneColor.green,\r\n            color.blue,\r\n            pantoneColor.blue\r\n          );\r\n          if (fuzzDistance < smallestFuzzDistance) {\r\n            smallestFuzzDistance = fuzzDistance;\r\n            color.name = pantoneColor.name;\r\n          }\r\n        });\r\n      });\r\n    },\r\n    changeToClosestPantoneFromPalette(shape: TextShape) {\r\n      let smallestFuzzDistance = 100;\r\n      this.availablePmsColors.forEach((pantoneColor) => {\r\n        let fuzzDistance = 0;\r\n        fuzzDistance = this.getFuzzDistance(\r\n          shape.w2pText.color[0],\r\n          pantoneColor.red,\r\n          shape.w2pText.color[1],\r\n          pantoneColor.green,\r\n          shape.w2pText.color[2],\r\n          pantoneColor.blue\r\n        );\r\n        if (fuzzDistance < smallestFuzzDistance) {\r\n          smallestFuzzDistance = fuzzDistance;\r\n          shape.w2pText.colorName = pantoneColor.name;\r\n        }\r\n      });\r\n    },\r\n    getFuzzDistance(\r\n      r1: number,\r\n      r2: number,\r\n      g1: number,\r\n      g2: number,\r\n      b1: number,\r\n      b2: number\r\n    ) {\r\n      return (\r\n        (Math.sqrt(\r\n          ((r1 - r2) * (r1 - r2) +\r\n            (g1 - g2) * (g1 - g2) +\r\n            (b1 - b2) * (b1 - b2)) /\r\n            3\r\n        ) /\r\n          256) *\r\n        100\r\n      );\r\n    },\r\n    getPmsColorByPrintPositionId(printPositionId: string) {\r\n      const shapeStore = useShapeStore();\r\n\r\n      const shapes = shapeStore.shapes;\r\n\r\n      // Extract logos from the shapes array\r\n      const nonTextPrintPositionShapes = shapes\r\n        .filter((shape) =>\r\n          shapeStore.positionShapeMap.some(\r\n            (psm) => psm.id === printPositionId && psm.logoId === shape.id\r\n          )\r\n        )\r\n        .filter(nonTextShapes) as LogoShape[];\r\n\r\n      // All colours from the logos\r\n      const allPmsColorsInArtworks = nonTextPrintPositionShapes.reduce<\r\n        PmsColor[]\r\n      >((prev, curr) => {\r\n        return [...prev, ...curr.pmsColorsInPngFile];\r\n      }, []);\r\n\r\n      // Extract texts from the shapes array\r\n      const textPrintPositionShapes = shapes\r\n        .filter((shape) =>\r\n          shapeStore.positionShapeMap.some(\r\n            (psm) => psm.id === printPositionId && psm.logoId === shape.id\r\n          )\r\n        )\r\n        .filter(textShapes) as TextShape[];\r\n\r\n      // All olours from the texts\r\n      const textPmsColors = textPrintPositionShapes\r\n        .map((text) => {\r\n          return this.availablePmsColors.find(\r\n            (c) => c.name === text.w2pText.colorName\r\n          ) as PmsColor;\r\n        })\r\n        .filter((color) => color !== undefined);\r\n\r\n      // All the colours on the current print position\r\n      const allPmsColors = [...allPmsColorsInArtworks, ...textPmsColors];\r\n\r\n      // Remove the \"Closest Pantone\" prefix when preparing colors for retreiving only the unique ones\r\n      for (const pmsColor of allPmsColors) {\r\n        if (pmsColor.name.includes('Closest Pantone:')) {\r\n          const colorNameSplit = pmsColor.name.split(':');\r\n          pmsColor.name = colorNameSplit[1].trimStart();\r\n        }\r\n      }\r\n\r\n      const uniquePmsColors = [\r\n        ...new Map(allPmsColors.map((item) => [item['name'], item])).values(),\r\n      ];\r\n\r\n      return uniquePmsColors;\r\n    },\r\n\r\n    getNumberOfColoursByPrintPositionId(printPositionId: string) {\r\n      const productStore = useProductStore();\r\n\r\n      const isLaserConverter = productStore.isLaserConverter(printPositionId);\r\n      const isFullColorTechnique = productStore.isFullColor(printPositionId);\r\n      const isDebossingTechnique =\r\n        productStore.isDebossingTechnique(printPositionId);\r\n\r\n      if (isFullColorTechnique) {\r\n        return 8; // Full color techniques always counts as 8 color\r\n      }\r\n\r\n      if (isLaserConverter || isDebossingTechnique) {\r\n        return 1; // Laser and Debossing always counts as 1 color\r\n      }\r\n\r\n      return this.getPmsColorByPrintPositionId(printPositionId).length;\r\n    },\r\n  },\r\n});\r\n","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./ColorDropdown.vue?vue&type=style&index=0&id=4edcd140&prod&lang=scss&scoped=true\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"737386ab\", content, shadowRoot)\n};","/*\n * Copyright Joyent, Inc. and other Node contributors.\n *\n * Permission is hereby granted, free of charge, to any person obtaining a\n * copy of this software and associated documentation files (the\n * \"Software\"), to deal in the Software without restriction, including\n * without limitation the rights to use, copy, modify, merge, publish,\n * distribute, sublicense, and/or sell copies of the Software, and to permit\n * persons to whom the Software is furnished to do so, subject to the\n * following conditions:\n *\n * The above copyright notice and this permission notice shall be included\n * in all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS\n * OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF\n * MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN\n * NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,\n * DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR\n * OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE\n * USE OR OTHER DEALINGS IN THE SOFTWARE.\n */\n\n'use strict';\n\nvar punycode = require('punycode');\n\nfunction Url() {\n  this.protocol = null;\n  this.slashes = null;\n  this.auth = null;\n  this.host = null;\n  this.port = null;\n  this.hostname = null;\n  this.hash = null;\n  this.search = null;\n  this.query = null;\n  this.pathname = null;\n  this.path = null;\n  this.href = null;\n}\n\n// Reference: RFC 3986, RFC 1808, RFC 2396\n\n/*\n * define these here so at least they only have to be\n * compiled once on the first module load.\n */\nvar protocolPattern = /^([a-z0-9.+-]+:)/i,\n  portPattern = /:[0-9]*$/,\n\n  // Special case for a simple path URL\n  simplePathPattern = /^(\\/\\/?(?!\\/)[^?\\s]*)(\\?[^\\s]*)?$/,\n\n  /*\n   * RFC 2396: characters reserved for delimiting URLs.\n   * We actually just auto-escape these.\n   */\n  delims = [\n    '<', '>', '\"', '`', ' ', '\\r', '\\n', '\\t'\n  ],\n\n  // RFC 2396: characters not allowed for various reasons.\n  unwise = [\n    '{', '}', '|', '\\\\', '^', '`'\n  ].concat(delims),\n\n  // Allowed by RFCs, but cause of XSS attacks.  Always escape these.\n  autoEscape = ['\\''].concat(unwise),\n  /*\n   * Characters that are never ever allowed in a hostname.\n   * Note that any invalid chars are also handled, but these\n   * are the ones that are *expected* to be seen, so we fast-path\n   * them.\n   */\n  nonHostChars = [\n    '%', '/', '?', ';', '#'\n  ].concat(autoEscape),\n  hostEndingChars = [\n    '/', '?', '#'\n  ],\n  hostnameMaxLen = 255,\n  hostnamePartPattern = /^[+a-z0-9A-Z_-]{0,63}$/,\n  hostnamePartStart = /^([+a-z0-9A-Z_-]{0,63})(.*)$/,\n  // protocols that can allow \"unsafe\" and \"unwise\" chars.\n  unsafeProtocol = {\n    javascript: true,\n    'javascript:': true\n  },\n  // protocols that never have a hostname.\n  hostlessProtocol = {\n    javascript: true,\n    'javascript:': true\n  },\n  // protocols that always contain a // bit.\n  slashedProtocol = {\n    http: true,\n    https: true,\n    ftp: true,\n    gopher: true,\n    file: true,\n    'http:': true,\n    'https:': true,\n    'ftp:': true,\n    'gopher:': true,\n    'file:': true\n  },\n  querystring = require('qs');\n\nfunction urlParse(url, parseQueryString, slashesDenoteHost) {\n  if (url && typeof url === 'object' && url instanceof Url) { return url; }\n\n  var u = new Url();\n  u.parse(url, parseQueryString, slashesDenoteHost);\n  return u;\n}\n\nUrl.prototype.parse = function (url, parseQueryString, slashesDenoteHost) {\n  if (typeof url !== 'string') {\n    throw new TypeError(\"Parameter 'url' must be a string, not \" + typeof url);\n  }\n\n  /*\n   * Copy chrome, IE, opera backslash-handling behavior.\n   * Back slashes before the query string get converted to forward slashes\n   * See: https://code.google.com/p/chromium/issues/detail?id=25916\n   */\n  var queryIndex = url.indexOf('?'),\n    splitter = queryIndex !== -1 && queryIndex < url.indexOf('#') ? '?' : '#',\n    uSplit = url.split(splitter),\n    slashRegex = /\\\\/g;\n  uSplit[0] = uSplit[0].replace(slashRegex, '/');\n  url = uSplit.join(splitter);\n\n  var rest = url;\n\n  /*\n   * trim before proceeding.\n   * This is to support parse stuff like \"  http://foo.com  \\n\"\n   */\n  rest = rest.trim();\n\n  if (!slashesDenoteHost && url.split('#').length === 1) {\n    // Try fast path regexp\n    var simplePath = simplePathPattern.exec(rest);\n    if (simplePath) {\n      this.path = rest;\n      this.href = rest;\n      this.pathname = simplePath[1];\n      if (simplePath[2]) {\n        this.search = simplePath[2];\n        if (parseQueryString) {\n          this.query = querystring.parse(this.search.substr(1));\n        } else {\n          this.query = this.search.substr(1);\n        }\n      } else if (parseQueryString) {\n        this.search = '';\n        this.query = {};\n      }\n      return this;\n    }\n  }\n\n  var proto = protocolPattern.exec(rest);\n  if (proto) {\n    proto = proto[0];\n    var lowerProto = proto.toLowerCase();\n    this.protocol = lowerProto;\n    rest = rest.substr(proto.length);\n  }\n\n  /*\n   * figure out if it's got a host\n   * user@server is *always* interpreted as a hostname, and url\n   * resolution will treat //foo/bar as host=foo,path=bar because that's\n   * how the browser resolves relative URLs.\n   */\n  if (slashesDenoteHost || proto || rest.match(/^\\/\\/[^@/]+@[^@/]+/)) {\n    var slashes = rest.substr(0, 2) === '//';\n    if (slashes && !(proto && hostlessProtocol[proto])) {\n      rest = rest.substr(2);\n      this.slashes = true;\n    }\n  }\n\n  if (!hostlessProtocol[proto] && (slashes || (proto && !slashedProtocol[proto]))) {\n\n    /*\n     * there's a hostname.\n     * the first instance of /, ?, ;, or # ends the host.\n     *\n     * If there is an @ in the hostname, then non-host chars *are* allowed\n     * to the left of the last @ sign, unless some host-ending character\n     * comes *before* the @-sign.\n     * URLs are obnoxious.\n     *\n     * ex:\n     * http://a@b@c/ => user:a@b host:c\n     * http://a@b?@c => user:a host:c path:/?@c\n     */\n\n    /*\n     * v0.12 TODO(isaacs): This is not quite how Chrome does things.\n     * Review our test case against browsers more comprehensively.\n     */\n\n    // find the first instance of any hostEndingChars\n    var hostEnd = -1;\n    for (var i = 0; i < hostEndingChars.length; i++) {\n      var hec = rest.indexOf(hostEndingChars[i]);\n      if (hec !== -1 && (hostEnd === -1 || hec < hostEnd)) { hostEnd = hec; }\n    }\n\n    /*\n     * at this point, either we have an explicit point where the\n     * auth portion cannot go past, or the last @ char is the decider.\n     */\n    var auth, atSign;\n    if (hostEnd === -1) {\n      // atSign can be anywhere.\n      atSign = rest.lastIndexOf('@');\n    } else {\n      /*\n       * atSign must be in auth portion.\n       * http://a@b/c@d => host:b auth:a path:/c@d\n       */\n      atSign = rest.lastIndexOf('@', hostEnd);\n    }\n\n    /*\n     * Now we have a portion which is definitely the auth.\n     * Pull that off.\n     */\n    if (atSign !== -1) {\n      auth = rest.slice(0, atSign);\n      rest = rest.slice(atSign + 1);\n      this.auth = decodeURIComponent(auth);\n    }\n\n    // the host is the remaining to the left of the first non-host char\n    hostEnd = -1;\n    for (var i = 0; i < nonHostChars.length; i++) {\n      var hec = rest.indexOf(nonHostChars[i]);\n      if (hec !== -1 && (hostEnd === -1 || hec < hostEnd)) { hostEnd = hec; }\n    }\n    // if we still have not hit it, then the entire thing is a host.\n    if (hostEnd === -1) { hostEnd = rest.length; }\n\n    this.host = rest.slice(0, hostEnd);\n    rest = rest.slice(hostEnd);\n\n    // pull out port.\n    this.parseHost();\n\n    /*\n     * we've indicated that there is a hostname,\n     * so even if it's empty, it has to be present.\n     */\n    this.hostname = this.hostname || '';\n\n    /*\n     * if hostname begins with [ and ends with ]\n     * assume that it's an IPv6 address.\n     */\n    var ipv6Hostname = this.hostname[0] === '[' && this.hostname[this.hostname.length - 1] === ']';\n\n    // validate a little.\n    if (!ipv6Hostname) {\n      var hostparts = this.hostname.split(/\\./);\n      for (var i = 0, l = hostparts.length; i < l; i++) {\n        var part = hostparts[i];\n        if (!part) { continue; }\n        if (!part.match(hostnamePartPattern)) {\n          var newpart = '';\n          for (var j = 0, k = part.length; j < k; j++) {\n            if (part.charCodeAt(j) > 127) {\n              /*\n               * we replace non-ASCII char with a temporary placeholder\n               * we need this to make sure size of hostname is not\n               * broken by replacing non-ASCII by nothing\n               */\n              newpart += 'x';\n            } else {\n              newpart += part[j];\n            }\n          }\n          // we test again with ASCII char only\n          if (!newpart.match(hostnamePartPattern)) {\n            var validParts = hostparts.slice(0, i);\n            var notHost = hostparts.slice(i + 1);\n            var bit = part.match(hostnamePartStart);\n            if (bit) {\n              validParts.push(bit[1]);\n              notHost.unshift(bit[2]);\n            }\n            if (notHost.length) {\n              rest = '/' + notHost.join('.') + rest;\n            }\n            this.hostname = validParts.join('.');\n            break;\n          }\n        }\n      }\n    }\n\n    if (this.hostname.length > hostnameMaxLen) {\n      this.hostname = '';\n    } else {\n      // hostnames are always lower case.\n      this.hostname = this.hostname.toLowerCase();\n    }\n\n    if (!ipv6Hostname) {\n      /*\n       * IDNA Support: Returns a punycoded representation of \"domain\".\n       * It only converts parts of the domain name that\n       * have non-ASCII characters, i.e. it doesn't matter if\n       * you call it with a domain that already is ASCII-only.\n       */\n      this.hostname = punycode.toASCII(this.hostname);\n    }\n\n    var p = this.port ? ':' + this.port : '';\n    var h = this.hostname || '';\n    this.host = h + p;\n    this.href += this.host;\n\n    /*\n     * strip [ and ] from the hostname\n     * the host field still retains them, though\n     */\n    if (ipv6Hostname) {\n      this.hostname = this.hostname.substr(1, this.hostname.length - 2);\n      if (rest[0] !== '/') {\n        rest = '/' + rest;\n      }\n    }\n  }\n\n  /*\n   * now rest is set to the post-host stuff.\n   * chop off any delim chars.\n   */\n  if (!unsafeProtocol[lowerProto]) {\n\n    /*\n     * First, make 100% sure that any \"autoEscape\" chars get\n     * escaped, even if encodeURIComponent doesn't think they\n     * need to be.\n     */\n    for (var i = 0, l = autoEscape.length; i < l; i++) {\n      var ae = autoEscape[i];\n      if (rest.indexOf(ae) === -1) { continue; }\n      var esc = encodeURIComponent(ae);\n      if (esc === ae) {\n        esc = escape(ae);\n      }\n      rest = rest.split(ae).join(esc);\n    }\n  }\n\n  // chop off from the tail first.\n  var hash = rest.indexOf('#');\n  if (hash !== -1) {\n    // got a fragment string.\n    this.hash = rest.substr(hash);\n    rest = rest.slice(0, hash);\n  }\n  var qm = rest.indexOf('?');\n  if (qm !== -1) {\n    this.search = rest.substr(qm);\n    this.query = rest.substr(qm + 1);\n    if (parseQueryString) {\n      this.query = querystring.parse(this.query);\n    }\n    rest = rest.slice(0, qm);\n  } else if (parseQueryString) {\n    // no query string, but parseQueryString still requested\n    this.search = '';\n    this.query = {};\n  }\n  if (rest) { this.pathname = rest; }\n  if (slashedProtocol[lowerProto] && this.hostname && !this.pathname) {\n    this.pathname = '/';\n  }\n\n  // to support http.request\n  if (this.pathname || this.search) {\n    var p = this.pathname || '';\n    var s = this.search || '';\n    this.path = p + s;\n  }\n\n  // finally, reconstruct the href based on what has been validated.\n  this.href = this.format();\n  return this;\n};\n\n// format a parsed object into a url string\nfunction urlFormat(obj) {\n  /*\n   * ensure it's an object, and not a string url.\n   * If it's an obj, this is a no-op.\n   * this way, you can call url_format() on strings\n   * to clean up potentially wonky urls.\n   */\n  if (typeof obj === 'string') { obj = urlParse(obj); }\n  if (!(obj instanceof Url)) { return Url.prototype.format.call(obj); }\n  return obj.format();\n}\n\nUrl.prototype.format = function () {\n  var auth = this.auth || '';\n  if (auth) {\n    auth = encodeURIComponent(auth);\n    auth = auth.replace(/%3A/i, ':');\n    auth += '@';\n  }\n\n  var protocol = this.protocol || '',\n    pathname = this.pathname || '',\n    hash = this.hash || '',\n    host = false,\n    query = '';\n\n  if (this.host) {\n    host = auth + this.host;\n  } else if (this.hostname) {\n    host = auth + (this.hostname.indexOf(':') === -1 ? this.hostname : '[' + this.hostname + ']');\n    if (this.port) {\n      host += ':' + this.port;\n    }\n  }\n\n  if (this.query && typeof this.query === 'object' && Object.keys(this.query).length) {\n    query = querystring.stringify(this.query, {\n      arrayFormat: 'repeat',\n      addQueryPrefix: false\n    });\n  }\n\n  var search = this.search || (query && ('?' + query)) || '';\n\n  if (protocol && protocol.substr(-1) !== ':') { protocol += ':'; }\n\n  /*\n   * only the slashedProtocols get the //.  Not mailto:, xmpp:, etc.\n   * unless they had them to begin with.\n   */\n  if (this.slashes || (!protocol || slashedProtocol[protocol]) && host !== false) {\n    host = '//' + (host || '');\n    if (pathname && pathname.charAt(0) !== '/') { pathname = '/' + pathname; }\n  } else if (!host) {\n    host = '';\n  }\n\n  if (hash && hash.charAt(0) !== '#') { hash = '#' + hash; }\n  if (search && search.charAt(0) !== '?') { search = '?' + search; }\n\n  pathname = pathname.replace(/[?#]/g, function (match) {\n    return encodeURIComponent(match);\n  });\n  search = search.replace('#', '%23');\n\n  return protocol + host + pathname + search + hash;\n};\n\nfunction urlResolve(source, relative) {\n  return urlParse(source, false, true).resolve(relative);\n}\n\nUrl.prototype.resolve = function (relative) {\n  return this.resolveObject(urlParse(relative, false, true)).format();\n};\n\nfunction urlResolveObject(source, relative) {\n  if (!source) { return relative; }\n  return urlParse(source, false, true).resolveObject(relative);\n}\n\nUrl.prototype.resolveObject = function (relative) {\n  if (typeof relative === 'string') {\n    var rel = new Url();\n    rel.parse(relative, false, true);\n    relative = rel;\n  }\n\n  var result = new Url();\n  var tkeys = Object.keys(this);\n  for (var tk = 0; tk < tkeys.length; tk++) {\n    var tkey = tkeys[tk];\n    result[tkey] = this[tkey];\n  }\n\n  /*\n   * hash is always overridden, no matter what.\n   * even href=\"\" will remove it.\n   */\n  result.hash = relative.hash;\n\n  // if the relative url is empty, then there's nothing left to do here.\n  if (relative.href === '') {\n    result.href = result.format();\n    return result;\n  }\n\n  // hrefs like //foo/bar always cut to the protocol.\n  if (relative.slashes && !relative.protocol) {\n    // take everything except the protocol from relative\n    var rkeys = Object.keys(relative);\n    for (var rk = 0; rk < rkeys.length; rk++) {\n      var rkey = rkeys[rk];\n      if (rkey !== 'protocol') { result[rkey] = relative[rkey]; }\n    }\n\n    // urlParse appends trailing / to urls like http://www.example.com\n    if (slashedProtocol[result.protocol] && result.hostname && !result.pathname) {\n      result.pathname = '/';\n      result.path = result.pathname;\n    }\n\n    result.href = result.format();\n    return result;\n  }\n\n  if (relative.protocol && relative.protocol !== result.protocol) {\n    /*\n     * if it's a known url protocol, then changing\n     * the protocol does weird things\n     * first, if it's not file:, then we MUST have a host,\n     * and if there was a path\n     * to begin with, then we MUST have a path.\n     * if it is file:, then the host is dropped,\n     * because that's known to be hostless.\n     * anything else is assumed to be absolute.\n     */\n    if (!slashedProtocol[relative.protocol]) {\n      var keys = Object.keys(relative);\n      for (var v = 0; v < keys.length; v++) {\n        var k = keys[v];\n        result[k] = relative[k];\n      }\n      result.href = result.format();\n      return result;\n    }\n\n    result.protocol = relative.protocol;\n    if (!relative.host && !hostlessProtocol[relative.protocol]) {\n      var relPath = (relative.pathname || '').split('/');\n      while (relPath.length && !(relative.host = relPath.shift())) { }\n      if (!relative.host) { relative.host = ''; }\n      if (!relative.hostname) { relative.hostname = ''; }\n      if (relPath[0] !== '') { relPath.unshift(''); }\n      if (relPath.length < 2) { relPath.unshift(''); }\n      result.pathname = relPath.join('/');\n    } else {\n      result.pathname = relative.pathname;\n    }\n    result.search = relative.search;\n    result.query = relative.query;\n    result.host = relative.host || '';\n    result.auth = relative.auth;\n    result.hostname = relative.hostname || relative.host;\n    result.port = relative.port;\n    // to support http.request\n    if (result.pathname || result.search) {\n      var p = result.pathname || '';\n      var s = result.search || '';\n      result.path = p + s;\n    }\n    result.slashes = result.slashes || relative.slashes;\n    result.href = result.format();\n    return result;\n  }\n\n  var isSourceAbs = result.pathname && result.pathname.charAt(0) === '/',\n    isRelAbs = relative.host || relative.pathname && relative.pathname.charAt(0) === '/',\n    mustEndAbs = isRelAbs || isSourceAbs || (result.host && relative.pathname),\n    removeAllDots = mustEndAbs,\n    srcPath = result.pathname && result.pathname.split('/') || [],\n    relPath = relative.pathname && relative.pathname.split('/') || [],\n    psychotic = result.protocol && !slashedProtocol[result.protocol];\n\n  /*\n   * if the url is a non-slashed url, then relative\n   * links like ../.. should be able\n   * to crawl up to the hostname, as well.  This is strange.\n   * result.protocol has already been set by now.\n   * Later on, put the first path part into the host field.\n   */\n  if (psychotic) {\n    result.hostname = '';\n    result.port = null;\n    if (result.host) {\n      if (srcPath[0] === '') { srcPath[0] = result.host; } else { srcPath.unshift(result.host); }\n    }\n    result.host = '';\n    if (relative.protocol) {\n      relative.hostname = null;\n      relative.port = null;\n      if (relative.host) {\n        if (relPath[0] === '') { relPath[0] = relative.host; } else { relPath.unshift(relative.host); }\n      }\n      relative.host = null;\n    }\n    mustEndAbs = mustEndAbs && (relPath[0] === '' || srcPath[0] === '');\n  }\n\n  if (isRelAbs) {\n    // it's absolute.\n    result.host = relative.host || relative.host === '' ? relative.host : result.host;\n    result.hostname = relative.hostname || relative.hostname === '' ? relative.hostname : result.hostname;\n    result.search = relative.search;\n    result.query = relative.query;\n    srcPath = relPath;\n    // fall through to the dot-handling below.\n  } else if (relPath.length) {\n    /*\n     * it's relative\n     * throw away the existing file, and take the new path instead.\n     */\n    if (!srcPath) { srcPath = []; }\n    srcPath.pop();\n    srcPath = srcPath.concat(relPath);\n    result.search = relative.search;\n    result.query = relative.query;\n  } else if (relative.search != null) {\n    /*\n     * just pull out the search.\n     * like href='?foo'.\n     * Put this after the other two cases because it simplifies the booleans\n     */\n    if (psychotic) {\n      result.host = srcPath.shift();\n      result.hostname = result.host;\n      /*\n       * occationaly the auth can get stuck only in host\n       * this especially happens in cases like\n       * url.resolveObject('mailto:local1@domain1', 'local2@domain2')\n       */\n      var authInHost = result.host && result.host.indexOf('@') > 0 ? result.host.split('@') : false;\n      if (authInHost) {\n        result.auth = authInHost.shift();\n        result.hostname = authInHost.shift();\n        result.host = result.hostname;\n      }\n    }\n    result.search = relative.search;\n    result.query = relative.query;\n    // to support http.request\n    if (result.pathname !== null || result.search !== null) {\n      result.path = (result.pathname ? result.pathname : '') + (result.search ? result.search : '');\n    }\n    result.href = result.format();\n    return result;\n  }\n\n  if (!srcPath.length) {\n    /*\n     * no path at all.  easy.\n     * we've already handled the other stuff above.\n     */\n    result.pathname = null;\n    // to support http.request\n    if (result.search) {\n      result.path = '/' + result.search;\n    } else {\n      result.path = null;\n    }\n    result.href = result.format();\n    return result;\n  }\n\n  /*\n   * if a url ENDs in . or .., then it must get a trailing slash.\n   * however, if it ends in anything else non-slashy,\n   * then it must NOT get a trailing slash.\n   */\n  var last = srcPath.slice(-1)[0];\n  var hasTrailingSlash = (result.host || relative.host || srcPath.length > 1) && (last === '.' || last === '..') || last === '';\n\n  /*\n   * strip single dots, resolve double dots to parent dir\n   * if the path tries to go above the root, `up` ends up > 0\n   */\n  var up = 0;\n  for (var i = srcPath.length; i >= 0; i--) {\n    last = srcPath[i];\n    if (last === '.') {\n      srcPath.splice(i, 1);\n    } else if (last === '..') {\n      srcPath.splice(i, 1);\n      up++;\n    } else if (up) {\n      srcPath.splice(i, 1);\n      up--;\n    }\n  }\n\n  // if the path is allowed to go above the root, restore leading ..s\n  if (!mustEndAbs && !removeAllDots) {\n    for (; up--; up) {\n      srcPath.unshift('..');\n    }\n  }\n\n  if (mustEndAbs && srcPath[0] !== '' && (!srcPath[0] || srcPath[0].charAt(0) !== '/')) {\n    srcPath.unshift('');\n  }\n\n  if (hasTrailingSlash && (srcPath.join('/').substr(-1) !== '/')) {\n    srcPath.push('');\n  }\n\n  var isAbsolute = srcPath[0] === '' || (srcPath[0] && srcPath[0].charAt(0) === '/');\n\n  // put the host back\n  if (psychotic) {\n    result.hostname = isAbsolute ? '' : srcPath.length ? srcPath.shift() : '';\n    result.host = result.hostname;\n    /*\n     * occationaly the auth can get stuck only in host\n     * this especially happens in cases like\n     * url.resolveObject('mailto:local1@domain1', 'local2@domain2')\n     */\n    var authInHost = result.host && result.host.indexOf('@') > 0 ? result.host.split('@') : false;\n    if (authInHost) {\n      result.auth = authInHost.shift();\n      result.hostname = authInHost.shift();\n      result.host = result.hostname;\n    }\n  }\n\n  mustEndAbs = mustEndAbs || (result.host && srcPath.length);\n\n  if (mustEndAbs && !isAbsolute) {\n    srcPath.unshift('');\n  }\n\n  if (srcPath.length > 0) {\n    result.pathname = srcPath.join('/');\n  } else {\n    result.pathname = null;\n    result.path = null;\n  }\n\n  // to support request.http\n  if (result.pathname !== null || result.search !== null) {\n    result.path = (result.pathname ? result.pathname : '') + (result.search ? result.search : '');\n  }\n  result.auth = relative.auth || result.auth;\n  result.slashes = result.slashes || relative.slashes;\n  result.href = result.format();\n  return result;\n};\n\nUrl.prototype.parseHost = function () {\n  var host = this.host;\n  var port = portPattern.exec(host);\n  if (port) {\n    port = port[0];\n    if (port !== ':') {\n      this.port = port.substr(1);\n    }\n    host = host.substr(0, host.length - port.length);\n  }\n  if (host) { this.hostname = host; }\n};\n\nexports.parse = urlParse;\nexports.resolve = urlResolve;\nexports.resolveObject = urlResolveObject;\nexports.format = urlFormat;\n\nexports.Url = Url;\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".wrapper[data-v-12e3f52e]{display:flex}.thumbnail img[data-v-12e3f52e]{width:100%;height:100%;-o-object-fit:contain;object-fit:contain}.thumbnail[data-v-12e3f52e]{-o-object-position:50% 50%;object-position:50% 50%;width:160px;height:200px}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","const a = \"image/jpeg, image/png, application/pdf, image/svg+xml, image/bmp, image/gif, image/tiff, image/eps, image/x-eps, image/photoshop, image/vnd.adobe.photoshop, image/vnd.microsoft.icon, image/psd, image/x-photoshop, image/x-psd, application/illustrator, application/x-photoshop, application/postscript\", i = (e) => (s) => e.includes(s), n = (e) => (s) => s / 1024 / 1024 < e, l = ({\n  type: e,\n  size: s,\n  maxFileSize: o,\n  supportedExtensions: r\n}) => {\n  const t = n(o);\n  return {\n    type: {\n      valid: i(\n        r || a\n      )(e),\n      errorMsg: \"invalid-file-type\"\n    },\n    size: {\n      valid: t(s),\n      errorMsg: \"invalid-file-size\",\n      value: o\n    }\n  };\n};\nvar m = /* @__PURE__ */ ((e) => (e.Customer = \"Customer\", e.CustomerCare = \"CustomerCare\", e.PrePress = \"PrePress\", e.DirectApproval = \"DirectApproval\", e.APICustomer = \"APICustomer\", e))(m || {});\nconst d = {\n  RemoveBackgroundFull: \"Customers.API.DTOs.Shared.RemoveBackgroundFullInput, Customers.API\",\n  RemoveBackgroundOutsideImage: \"Customers.API.DTOs.Shared.RemoveBackgroundOutsideImageInput, Customers.API\",\n  ReplaceColor: \"Customers.API.DTOs.Shared.ReplaceColorInput, Customers.API\",\n  RemoveColor: \"Customers.API.DTOs.Shared.RemoveColorInput, Customers.API\",\n  LaserConverter: \"Customers.API.DTOs.Shared.LaserConverterInput, Customers.API\",\n  Crop: \"Customers.API.DTOs.Shared.CropInput, Customers.API\"\n};\nvar u = /* @__PURE__ */ ((e) => (e.Lanyard = \"Lanyard\", e.RoundItem = \"RoundItem\", e.Regular = \"Regular\", e))(u || {});\nconst c = (e, s) => e * (s / 25.4), g = (e, s) => e / (s / 25.4);\nexport {\n  m as ApproverType,\n  u as Category,\n  d as UserActionInputType,\n  l as basicFileValidator,\n  a as defaultSupportedExtensions,\n  c as mm2px,\n  g as px2mm\n};\n","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../node_modules/css-loader/dist/cjs.js??ref--7-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--7-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--7-oneOf-1-3!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./ManualCheck.vue?vue&type=style&index=0&id=1a685238&prod&scoped=true&lang=css\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"fa294a56\", content, shadowRoot)\n};","'use strict';\nvar uncurryThis = require('../internals/function-uncurry-this');\nvar toObject = require('../internals/to-object');\n\nvar floor = Math.floor;\nvar charAt = uncurryThis(''.charAt);\nvar replace = uncurryThis(''.replace);\nvar stringSlice = uncurryThis(''.slice);\n// eslint-disable-next-line redos/no-vulnerable -- safe\nvar SUBSTITUTION_SYMBOLS = /\\$([$&'`]|\\d{1,2}|<[^>]*>)/g;\nvar SUBSTITUTION_SYMBOLS_NO_NAMED = /\\$([$&'`]|\\d{1,2})/g;\n\n// `GetSubstitution` abstract operation\n// https://tc39.es/ecma262/#sec-getsubstitution\nmodule.exports = function (matched, str, position, captures, namedCaptures, replacement) {\n  var tailPos = position + matched.length;\n  var m = captures.length;\n  var symbols = SUBSTITUTION_SYMBOLS_NO_NAMED;\n  if (namedCaptures !== undefined) {\n    namedCaptures = toObject(namedCaptures);\n    symbols = SUBSTITUTION_SYMBOLS;\n  }\n  return replace(replacement, symbols, function (match, ch) {\n    var capture;\n    switch (charAt(ch, 0)) {\n      case '$': return '$';\n      case '&': return matched;\n      case '`': return stringSlice(str, 0, position);\n      case \"'\": return stringSlice(str, tailPos);\n      case '<':\n        capture = namedCaptures[stringSlice(ch, 1, -1)];\n        break;\n      default: // \\d\\d?\n        var n = +ch;\n        if (n === 0) return match;\n        if (n > m) {\n          var f = floor(n / 10);\n          if (f === 0) return match;\n          if (f <= m) return captures[f - 1] === undefined ? charAt(ch, 1) : captures[f - 1] + charAt(ch, 1);\n          return match;\n        }\n        capture = captures[n - 1];\n    }\n    return capture === undefined ? '' : capture;\n  });\n};\n","'use strict';\nvar DESCRIPTORS = require('../internals/descriptors');\nvar fails = require('../internals/fails');\nvar createElement = require('../internals/document-create-element');\n\n// Thanks to IE8 for its funny defineProperty\nmodule.exports = !DESCRIPTORS && !fails(function () {\n  // eslint-disable-next-line es/no-object-defineproperty -- required for testing\n  return Object.defineProperty(createElement('div'), 'a', {\n    get: function () { return 7; }\n  }).a !== 7;\n});\n","'use strict';\n\n/** @type {import('./type')} */\nmodule.exports = TypeError;\n","\"use strict\";\n\nvar urilib = require('url');\nvar helpers = require('./helpers');\n\nmodule.exports.SchemaScanResult = SchemaScanResult;\nfunction SchemaScanResult(found, ref){\n  this.id = found;\n  this.ref = ref;\n}\n\n/**\n * Adds a schema with a certain urn to the Validator instance.\n * @param string uri\n * @param object schema\n * @return {Object}\n */\nmodule.exports.scan = function scan(base, schema){\n  function scanSchema(baseuri, schema){\n    if(!schema || typeof schema!='object') return;\n    // Mark all referenced schemas so we can tell later which schemas are referred to, but never defined\n    if(schema.$ref){\n      var resolvedUri = urilib.resolve(baseuri, schema.$ref);\n      ref[resolvedUri] = ref[resolvedUri] ? ref[resolvedUri]+1 : 0;\n      return;\n    }\n    var id = schema.$id || schema.id;\n    var ourBase = id ? urilib.resolve(baseuri, id) : baseuri;\n    if (ourBase) {\n      // If there's no fragment, append an empty one\n      if(ourBase.indexOf('#')<0) ourBase += '#';\n      if(found[ourBase]){\n        if(!helpers.deepCompareStrict(found[ourBase], schema)){\n          throw new Error('Schema <'+ourBase+'> already exists with different definition');\n        }\n        return found[ourBase];\n      }\n      found[ourBase] = schema;\n      // strip trailing fragment\n      if(ourBase[ourBase.length-1]=='#'){\n        found[ourBase.substring(0, ourBase.length-1)] = schema;\n      }\n    }\n    scanArray(ourBase+'/items', (Array.isArray(schema.items)?schema.items:[schema.items]));\n    scanArray(ourBase+'/extends', (Array.isArray(schema.extends)?schema.extends:[schema.extends]));\n    scanSchema(ourBase+'/additionalItems', schema.additionalItems);\n    scanObject(ourBase+'/properties', schema.properties);\n    scanSchema(ourBase+'/additionalProperties', schema.additionalProperties);\n    scanObject(ourBase+'/definitions', schema.definitions);\n    scanObject(ourBase+'/patternProperties', schema.patternProperties);\n    scanObject(ourBase+'/dependencies', schema.dependencies);\n    scanArray(ourBase+'/disallow', schema.disallow);\n    scanArray(ourBase+'/allOf', schema.allOf);\n    scanArray(ourBase+'/anyOf', schema.anyOf);\n    scanArray(ourBase+'/oneOf', schema.oneOf);\n    scanSchema(ourBase+'/not', schema.not);\n  }\n  function scanArray(baseuri, schemas){\n    if(!Array.isArray(schemas)) return;\n    for(var i=0; i<schemas.length; i++){\n      scanSchema(baseuri+'/'+i, schemas[i]);\n    }\n  }\n  function scanObject(baseuri, schemas){\n    if(!schemas || typeof schemas!='object') return;\n    for(var p in schemas){\n      scanSchema(baseuri+'/'+p, schemas[p]);\n    }\n  }\n\n  var found = {};\n  var ref = {};\n  scanSchema(base, schema);\n  return new SchemaScanResult(found, ref);\n};\n","'use strict';\nvar $String = String;\n\nmodule.exports = function (argument) {\n  try {\n    return $String(argument);\n  } catch (error) {\n    return 'Object';\n  }\n};\n","export * from \"-!../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./w2pPintura.vue?vue&type=style&index=2&id=07faefe4&prod&lang=scss\"","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".bx--dropdown[data-v-358eef66]{border-bottom:none}.print-positions[data-v-358eef66]{padding-left:15px;padding-right:10px;padding-bottom:10px}.print-positions__box[data-v-358eef66]{border-radius:5px;padding:4px;margin:5px 0}.print-positions__header[data-v-358eef66]{font-size:16px;font-weight:700;padding-top:15px}.print-positions__add-section[data-v-358eef66]{display:flex;align-items:center;margin-top:10px}.print-positions__add-section--icon[data-v-358eef66]{border:1px solid #d9d9d9;color:#d9d9d9;width:45px;height:45px;cursor:pointer}.print-positions__add-section--label[data-v-358eef66]{font-size:.875rem;font-weight:600;line-height:1.42857;letter-spacing:.16px;font-size:14px;font-weight:700;margin-left:10px}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","export * from \"-!../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./TiptapToolbar.vue?vue&type=style&index=1&id=9c6e33ac&prod&lang=scss\"","'use strict';\n\n/**\n * Syntactic sugar for invoking a function and expanding an array for arguments.\n *\n * Common use case would be to use `Function.prototype.apply`.\n *\n *  ```js\n *  function f(x, y, z) {}\n *  var args = [1, 2, 3];\n *  f.apply(null, args);\n *  ```\n *\n * With `spread` this example can be re-written.\n *\n *  ```js\n *  spread(function(x, y, z) {})([1, 2, 3]);\n *  ```\n *\n * @param {Function} callback\n * @returns {Function}\n */\nmodule.exports = function spread(callback) {\n  return function wrap(arr) {\n    return callback.apply(null, arr);\n  };\n};\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".disabled{color:#e0e0e0;cursor:default!important}.disabled:hover{background:none!important}.cv-button{overflow:hidden!important}.cv-button:hover{outline:none!important;box-shadow:none!important;border:none!important}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","'use strict';\n\nvar implementation = require('./implementation');\n\nmodule.exports = Function.prototype.bind || implementation;\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".back-button{width:60px;margin-left:2px;border:0!important}.sep{margin:0 5px 0 5px}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./w2pPintura.vue?vue&type=style&index=1&id=07faefe4&prod&lang=scss\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"5a3c6907\", content, shadowRoot)\n};","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./Divider.vue?vue&type=style&index=0&id=46c08943&prod&lang=scss\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"370b8cc9\", content, shadowRoot)\n};","export * from \"-!../../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./TotalPricing.vue?vue&type=style&index=1&id=5bd1b5f0&prod&lang=scss\"","import { defineStore } from 'pinia';\r\n\r\nexport const useStore = defineStore({\r\n  id: 'auth',\r\n\r\n  state: () => {\r\n    return {\r\n      sapCustomerId: '',\r\n      tok: '',\r\n      isTokValid: true,\r\n    };\r\n  },\r\n\r\n  actions: {\r\n    setSapCustomerId(id: string) {\r\n      this.sapCustomerId = id;\r\n    },\r\n    setTok(token: string) {\r\n      this.tok = token;\r\n    },\r\n    setIsTokValid(isTokenValid: boolean) {\r\n      this.isTokValid = isTokenValid;\r\n    },\r\n  },\r\n});\r\n","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./NotificationToast.vue?vue&type=style&index=1&id=14695db1&prod&lang=scss\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"5886a171\", content, shadowRoot)\n};","export * from \"-!../../../../node_modules/vue-style-loader/index.js??ref--7-oneOf-1-0!../../../../node_modules/css-loader/dist/cjs.js??ref--7-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--7-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--7-oneOf-1-3!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./RoundItemPanel.vue?vue&type=style&index=0&id=582fdf2e&prod&scoped=true&lang=css\"","export * from \"-!../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./upload-logo.vue?vue&type=style&index=0&id=28b97faa&prod&lang=scss&shadow\"","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".bx--dropdown{border-bottom:none}.cv-header.bx--header{z-index:0;background-color:#f4f4f4;border-bottom:none;height:48px}.cv-header.bx--header .bx--form-item{width:50%;flex:unset}.select-printposition{display:flex;justify-content:flex-start;flex-grow:8;height:48px}.select-printposition .bx--form-item,.select-printposition .bx--list-box__label{font-size:14px}.add-printposition{height:48px;display:flex;justify-content:flex-end;flex-grow:1}.add-printposition-button{font-size:.875rem;font-weight:400;line-height:1.28572;letter-spacing:.16px;width:100%;font-size:14px;display:flex;justify-content:flex-end}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","export * from \"-!../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./VTour.vue?vue&type=style&index=0&id=35bb4ede&prod&lang=scss\"","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./Tiptap.vue?vue&type=style&index=0&id=404f2a36&prod&lang=scss\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"6ea6a07c\", content, shadowRoot)\n};","'use strict';\nvar uncurryThis = require('../internals/function-uncurry-this');\nvar fails = require('../internals/fails');\nvar isCallable = require('../internals/is-callable');\nvar hasOwn = require('../internals/has-own-property');\nvar DESCRIPTORS = require('../internals/descriptors');\nvar CONFIGURABLE_FUNCTION_NAME = require('../internals/function-name').CONFIGURABLE;\nvar inspectSource = require('../internals/inspect-source');\nvar InternalStateModule = require('../internals/internal-state');\n\nvar enforceInternalState = InternalStateModule.enforce;\nvar getInternalState = InternalStateModule.get;\nvar $String = String;\n// eslint-disable-next-line es/no-object-defineproperty -- safe\nvar defineProperty = Object.defineProperty;\nvar stringSlice = uncurryThis(''.slice);\nvar replace = uncurryThis(''.replace);\nvar join = uncurryThis([].join);\n\nvar CONFIGURABLE_LENGTH = DESCRIPTORS && !fails(function () {\n  return defineProperty(function () { /* empty */ }, 'length', { value: 8 }).length !== 8;\n});\n\nvar TEMPLATE = String(String).split('String');\n\nvar makeBuiltIn = module.exports = function (value, name, options) {\n  if (stringSlice($String(name), 0, 7) === 'Symbol(') {\n    name = '[' + replace($String(name), /^Symbol\\(([^)]*)\\).*$/, '$1') + ']';\n  }\n  if (options && options.getter) name = 'get ' + name;\n  if (options && options.setter) name = 'set ' + name;\n  if (!hasOwn(value, 'name') || (CONFIGURABLE_FUNCTION_NAME && value.name !== name)) {\n    if (DESCRIPTORS) defineProperty(value, 'name', { value: name, configurable: true });\n    else value.name = name;\n  }\n  if (CONFIGURABLE_LENGTH && options && hasOwn(options, 'arity') && value.length !== options.arity) {\n    defineProperty(value, 'length', { value: options.arity });\n  }\n  try {\n    if (options && hasOwn(options, 'constructor') && options.constructor) {\n      if (DESCRIPTORS) defineProperty(value, 'prototype', { writable: false });\n    // in V8 ~ Chrome 53, prototypes of some methods, like `Array.prototype.values`, are non-writable\n    } else if (value.prototype) value.prototype = undefined;\n  } catch (error) { /* empty */ }\n  var state = enforceInternalState(value);\n  if (!hasOwn(state, 'source')) {\n    state.source = join(TEMPLATE, typeof name == 'string' ? name : '');\n  } return value;\n};\n\n// add fake Function#toString for correct work wrapped methods / constructors with methods like LoDash isNative\n// eslint-disable-next-line no-extend-native -- required\nFunction.prototype.toString = makeBuiltIn(function toString() {\n  return isCallable(this) && getInternalState(this).source || inspectSource(this);\n}, 'toString');\n","'use strict';\nvar $ = require('../internals/export');\nvar $reduce = require('../internals/array-reduce').left;\nvar arrayMethodIsStrict = require('../internals/array-method-is-strict');\nvar CHROME_VERSION = require('../internals/engine-v8-version');\nvar IS_NODE = require('../internals/engine-is-node');\n\n// Chrome 80-82 has a critical bug\n// https://bugs.chromium.org/p/chromium/issues/detail?id=1049982\nvar CHROME_BUG = !IS_NODE && CHROME_VERSION > 79 && CHROME_VERSION < 83;\nvar FORCED = CHROME_BUG || !arrayMethodIsStrict('reduce');\n\n// `Array.prototype.reduce` method\n// https://tc39.es/ecma262/#sec-array.prototype.reduce\n$({ target: 'Array', proto: true, forced: FORCED }, {\n  reduce: function reduce(callbackfn /* , initialValue */) {\n    var length = arguments.length;\n    return $reduce(this, callbackfn, length, length > 1 ? arguments[1] : undefined);\n  }\n});\n","'use strict';\n\n/** @type {import('./ref')} */\nmodule.exports = ReferenceError;\n","\"use strict\";\nObject.defineProperty(exports, \"__esModule\", { value: true });\nexports.booleanProp = void 0;\nconst util_1 = require(\"../util\");\n/**\n * Allows any boolean (validated at runtime and compile time).\n *\n * @param validator - Optional function for further runtime validation; should return `undefined` if valid, or an error string if invalid.\n */\nconst booleanProp = (validator) => (0, util_1.propOptionsGenerator)(Boolean, validator);\nexports.booleanProp = booleanProp;\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".v-step[data-v-a1b99918]{background:#393939;color:#fff;max-width:400px;border-radius:3px;box-shadow:0 0 0 0 transparent,0 0 0 0 transparent,0 4px 6px -1px rgba(0,0,0,.1),0 2px 4px -1px rgba(0,0,0,.06);padding:15px;pointer-events:auto;text-align:center;z-index:1000}.v-step--sticky[data-v-a1b99918]{position:fixed;top:50%;left:50%;transform:translate(-50%,-50%)}.v-step--sticky .v-step__arrow[data-v-a1b99918]{display:none}.v-step__arrow[data-v-a1b99918],.v-step__arrow[data-v-a1b99918]:before{position:absolute;width:10px;height:10px;background:inherit}.v-step__arrow[data-v-a1b99918]{visibility:hidden}.v-step__arrow--dark[data-v-a1b99918]:before{background:#393939}.v-step__arrow[data-v-a1b99918]:before{visibility:visible;content:\\\"\\\";transform:rotate(45deg);margin-left:-5px}.v-step[data-popper-placement^=top]>.v-step__arrow[data-v-a1b99918]{bottom:-5px}.v-step[data-popper-placement^=bottom]>.v-step__arrow[data-v-a1b99918]{top:-5px}.v-step[data-popper-placement^=right]>.v-step__arrow[data-v-a1b99918]{left:-5px}.v-step[data-popper-placement^=left]>.v-step__arrow[data-v-a1b99918]{right:-5px}.v-step__counter[data-v-a1b99918]{border-top-left-radius:3px;border-top-right-radius:3px;text-align:left;font-family:Roboto;font-size:12px;font-weight:400;line-height:normal;letter-spacing:.14px;color:#c6c6c6}.v-step__header[data-v-a1b99918]{border-top-left-radius:3px;border-top-right-radius:3px;font-weight:700}.v-step__content[data-v-a1b99918],.v-step__header[data-v-a1b99918]{margin:7px 0 0 0;text-align:left;font-family:Roboto;font-size:14px;line-height:1.29;letter-spacing:.16px}.v-step__content[data-v-a1b99918]{font-weight:400}.v-step__button[data-v-a1b99918]{font-family:Roboto;font-size:14px;font-weight:400;font-stretch:normal;font-style:normal;line-height:1.29;letter-spacing:.16px;color:#fff;background-color:#24a148;padding:7px 18px 4px 16px;border:0;margin:5px}.v-step__button[data-v-a1b99918]:hover{background-color:#229242;color:#fff;cursor:pointer}.v-step__buttons[data-v-a1b99918]{display:flex;justify-content:space-between;text-align:right;margin:14px 0 0 0}.v-step__button-skip[data-v-a1b99918]{background:transparent;color:#42be65;padding:0}.v-step__button-skip[data-v-a1b99918]:hover{background-color:transparent;color:#fff;cursor:pointer;color:#42be65}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","'use strict';\nvar $ = require('../internals/export');\nvar toObject = require('../internals/to-object');\nvar lengthOfArrayLike = require('../internals/length-of-array-like');\nvar setArrayLength = require('../internals/array-set-length');\nvar doesNotExceedSafeInteger = require('../internals/does-not-exceed-safe-integer');\nvar fails = require('../internals/fails');\n\nvar INCORRECT_TO_LENGTH = fails(function () {\n  return [].push.call({ length: 0x100000000 }, 1) !== 4294967297;\n});\n\n// V8 <= 121 and Safari <= 15.4; FF < 23 throws InternalError\n// https://bugs.chromium.org/p/v8/issues/detail?id=12681\nvar properErrorOnNonWritableLength = function () {\n  try {\n    // eslint-disable-next-line es/no-object-defineproperty -- safe\n    Object.defineProperty([], 'length', { writable: false }).push();\n  } catch (error) {\n    return error instanceof TypeError;\n  }\n};\n\nvar FORCED = INCORRECT_TO_LENGTH || !properErrorOnNonWritableLength();\n\n// `Array.prototype.push` method\n// https://tc39.es/ecma262/#sec-array.prototype.push\n$({ target: 'Array', proto: true, arity: 1, forced: FORCED }, {\n  // eslint-disable-next-line no-unused-vars -- required for `.length`\n  push: function push(item) {\n    var O = toObject(this);\n    var len = lengthOfArrayLike(O);\n    var argCount = arguments.length;\n    doesNotExceedSafeInteger(len + argCount);\n    for (var i = 0; i < argCount; i++) {\n      O[len] = arguments[i];\n      len++;\n    }\n    setArrayLength(O, len);\n    return len;\n  }\n});\n","export * from \"-!../../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./IconTextButton.vue?vue&type=style&index=0&id=78b1d6a6&prod&lang=scss\"","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".image-panel .oval{width:20px!important;height:20px!important;min-width:20px!important;min-height:20px!important}.d-flex,.row{display:flex}.d-flex{align-items:center;justify-content:center}.image-panel-options{border-bottom:1px solid #d3d3d3}.image-panel-options__align-logo{display:flex;flex-direction:column;padding:5px 16px}.image-panel-options__crop{display:flex;flex-direction:column;height:64px;border-bottom:1px solid #d3d3d3}.image-panel-options__icons{padding-bottom:8px}.image-panel-options__label{margin:16px 16px 10px 0;font-size:12px;color:#161616}.image-panel-options__round-label{margin:0 0 8px 0;font-size:12px;color:#161616}.image-panel-options__size-div{width:44px}.image-panel-options__rotate-div{width:28px}.image-panel-options__size-label{vertical-align:middle;font-size:12px;color:#161616;border-width:0;padding-left:12px}.image-panel-options__dimension-label{vertical-align:middle;font-size:12px;color:#161616;border-width:0;padding-left:10px}.image-panel-options__icon{min-width:24px!important;min-height:24px!important;height:24px!important;width:24px!important;margin-right:8px!important;padding:2px!important}.image-panel-options__color-container{display:flex;flex-direction:row;margin-bottom:10px;margin-left:10px;width:250px}.accordion-item-content{padding:12px 15px 12px 15px;flex-direction:column}.accordion-item-content,.accordion-item-content__label-only{border-width:1px 0 0 0;border-style:solid;border-color:#d3d3d3;display:flex}.accordion-item-content__label-only{padding:5px 15px 5px 15px;align-items:center;height:36px}.accordion-item-content__size{padding:0 15px 12px 5px;flex-direction:column;display:flex}.accordion-item-content__colors,.accordion-item-content__size{border-width:1px 0 0 0;border-style:solid;border-color:#d3d3d3}.row-text-button{flex-direction:row;width:208px;height:20px;font-size:12px!important;margin:16px!important}.disabled{color:#e0e0e0;cursor:default!important}.disabled:hover{background:none!important}.white-color-buttons{display:flex;flex-direction:row;justify-content:space-between}.white-color-button{height:40px;font-size:12px;width:113px;border-width:1px 1px 0 0;flex-direction:row}.flip{transform:scaleX(-1);filter:FlipH;-ms-filter:\\\"FlipH\\\"}.rotate-icon{vertical-align:baseline!important;min-width:32px!important;min-height:32px!important;height:32px!important;width:32px!important;margin-left:10px!important;margin-top:18px!important}.rotate-icon__label{font-weight:400;font-size:12px;color:#000;margin-top:30px;margin-left:5px}.mb-15{margin-bottom:15px}.image-panel .oval{display:flex!important;width:16px!important;height:16px!important;min-width:16px!important;min-height:16px!important;border-radius:50%!important;margin:0 7px!important}.color-section__remove{cursor:pointer!important;margin-top:16px!important;margin-right:25px!important;padding-top:0!important;padding-bottom:10px!important}.color-section__remove .bx--btn__icon{width:20px!important;height:16px!important}.image-panel-options__color-container .bx--btn--ghost .bx--btn--sm{padding:2px;width:40px;height:40px}.color-section__remove .continer{width:193px}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./Header.vue?vue&type=style&index=0&id=d760b6d6&prod&lang=scss&scoped=true\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"76d7d014\", content, shadowRoot)\n};","export * from \"-!../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./SmallDetailsLogoOnly.vue?vue&type=style&index=1&id=1e6bc25b&prod&scoped=true&lang=scss\"","export * from \"-!../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./TheApp.vue?vue&type=style&index=0&id=652d4abc&prod&lang=scss\"","'use strict';\n// https://tc39.es/ecma262/#sec-IsHTMLDDA-internal-slot\nvar documentAll = typeof document == 'object' && document.all;\n\n// `IsCallable` abstract operation\n// https://tc39.es/ecma262/#sec-iscallable\n// eslint-disable-next-line unicorn/no-typeof-undefined -- required for testing\nmodule.exports = typeof documentAll == 'undefined' && documentAll !== undefined ? function (argument) {\n  return typeof argument == 'function' || argument === documentAll;\n} : function (argument) {\n  return typeof argument == 'function';\n};\n","'use strict';\n\n/* eslint complexity: [2, 18], max-statements: [2, 33] */\nmodule.exports = function hasSymbols() {\n\tif (typeof Symbol !== 'function' || typeof Object.getOwnPropertySymbols !== 'function') { return false; }\n\tif (typeof Symbol.iterator === 'symbol') { return true; }\n\n\tvar obj = {};\n\tvar sym = Symbol('test');\n\tvar symObj = Object(sym);\n\tif (typeof sym === 'string') { return false; }\n\n\tif (Object.prototype.toString.call(sym) !== '[object Symbol]') { return false; }\n\tif (Object.prototype.toString.call(symObj) !== '[object Symbol]') { return false; }\n\n\t// temp disabled per https://github.com/ljharb/object.assign/issues/17\n\t// if (sym instanceof Symbol) { return false; }\n\t// temp disabled per https://github.com/WebReflection/get-own-property-symbols/issues/4\n\t// if (!(symObj instanceof Symbol)) { return false; }\n\n\t// if (typeof Symbol.prototype.toString !== 'function') { return false; }\n\t// if (String(sym) !== Symbol.prototype.toString.call(sym)) { return false; }\n\n\tvar symVal = 42;\n\tobj[sym] = symVal;\n\tfor (sym in obj) { return false; } // eslint-disable-line no-restricted-syntax, no-unreachable-loop\n\tif (typeof Object.keys === 'function' && Object.keys(obj).length !== 0) { return false; }\n\n\tif (typeof Object.getOwnPropertyNames === 'function' && Object.getOwnPropertyNames(obj).length !== 0) { return false; }\n\n\tvar syms = Object.getOwnPropertySymbols(obj);\n\tif (syms.length !== 1 || syms[0] !== sym) { return false; }\n\n\tif (!Object.prototype.propertyIsEnumerable.call(obj, sym)) { return false; }\n\n\tif (typeof Object.getOwnPropertyDescriptor === 'function') {\n\t\tvar descriptor = Object.getOwnPropertyDescriptor(obj, sym);\n\t\tif (descriptor.value !== symVal || descriptor.enumerable !== true) { return false; }\n\t}\n\n\treturn true;\n};\n","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./flow-starter.vue?vue&type=style&index=0&id=46601372&prod&lang=scss&shadow\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"35043cbc\", content, shadowRoot)\n};","export * from \"-!../../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./W2PPintura.vue?vue&type=style&index=0&id=6fe1c071&prod&lang=scss\"","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".order-details .bx--tooltip__trigger svg{fill:#525252}.order-details .bx--btn{font-size:14px}.order-details__menu--order-item__button svg{width:20px;height:20px}.bx--assistive-text{font-size:14px!important}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","!function(t,e){\"object\"==typeof exports&&\"object\"==typeof module?module.exports=e():\"function\"==typeof define&&define.amd?define([],e):\"object\"==typeof exports?exports[\"vue-js-modal\"]=e():t[\"vue-js-modal\"]=e()}(window,function(){return i={},o.m=n=[function(t,e,n){var i=n(7);\"string\"==typeof i&&(i=[[t.i,i,\"\"]]),i.locals&&(t.exports=i.locals);(0,n(4).default)(\"d763679c\",i,!1,{})},function(t,e,n){var i=n(10);\"string\"==typeof i&&(i=[[t.i,i,\"\"]]),i.locals&&(t.exports=i.locals);(0,n(4).default)(\"6b9cc0e0\",i,!1,{})},function(t,e,n){var i=n(12);\"string\"==typeof i&&(i=[[t.i,i,\"\"]]),i.locals&&(t.exports=i.locals);(0,n(4).default)(\"663c004e\",i,!1,{})},function(t,e){t.exports=function(n){var s=[];return s.toString=function(){return this.map(function(t){var e=function(t,e){var 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M},beforeDestroy:function(){this.$modal.subscription.$off(\"toggle\",this.onToggle),window.removeEventListener(\"resize\",this.onWindowResize),window.removeEventListener(\"orientationchange\",this.onWindowResize),this.clickToClose&&window.removeEventListener(\"keyup\",this.onEscapeKeyUp),document.body.classList.remove(\"vm--block-scroll\")},computed:{guaranteedOverlayTransition:function(){return this.overlayTransition||R},guaranteedModalTransition:function(){return this.transition||R},isAutoHeight:function(){return\"auto\"===this.modal.heightType},position:function(){var t=this.viewportHeight,e=this.viewportWidth,n=this.shiftLeft,i=this.shiftTop,o=this.shiftX,r=this.shiftY,s=this.trueModalWidth,a=this.trueModalHeight,l=e-s,u=Math.max(t-a,0),c=i+r*u;return{left:parseInt(h(0,l,n+o*l)),top:!a&&this.isAutoHeight?void 0:parseInt(h(0,u,c))}},trueModalWidth:function(){var t=this.viewportWidth,e=this.modal,n=this.adaptive,i=this.minWidth,o=this.maxWidth,r=\"%\"===e.widthType?t/100*e.width:e.width;if(n){var s=Math.max(i,Math.min(t,o));return h(i,s,r)}return r},trueModalHeight:function(){var t=this.viewportHeight,e=this.modal,n=this.isAutoHeight,i=this.adaptive,o=this.minHeight,r=this.maxHeight,s=\"%\"===e.heightType?t/100*e.height:e.height;if(n)return this.modal.renderedHeight;if(i){var a=Math.max(o,Math.min(t,r));return h(o,a,s)}return s},autoHeight:function(){return this.adaptive&&this.modal.renderedHeight>=this.viewportHeight?Math.max(this.minHeight,this.viewportHeight)+\"px\":\"auto\"},containerClass:function(){return[\"vm--container\",this.scrollable&&this.isAutoHeight&&\"scrollable\"]},modalClass:function(){return[\"vm--modal\",this.classes]},stylesProp:function(){return\"string\"==typeof this.styles?a(this.styles):this.styles},modalStyle:function(){return[this.stylesProp,{top:this.position.top+\"px\",left:this.position.left+\"px\",width:this.trueModalWidth+\"px\",height:this.isAutoHeight?this.autoHeight:this.trueModalHeight+\"px\"}]},isComponentReadyToBeDestroyed:function(){return this.overlayTransitionState===A&&this.modalTransitionState===A}},watch:{isComponentReadyToBeDestroyed:function(t){t&&(this.visible=!1)}},methods:{startTransitionEnter:function(){this.visibility.overlay=!0,this.visibility.modal=!0},startTransitionLeave:function(){this.visibility.overlay=!1,this.visibility.modal=!1},beforeOverlayTransitionEnter:function(){this.overlayTransitionState=$},afterOverlayTransitionEnter:function(){this.overlayTransitionState=C},beforeOverlayTransitionLeave:function(){this.overlayTransitionState=j},afterOverlayTransitionLeave:function(){this.overlayTransitionState=A},beforeModalTransitionEnter:function(){var t=this;this.modalTransitionState=$,this.$nextTick(function(){t.resizeObserver.observe(t.$refs.modal)})},afterModalTransitionEnter:function(){this.modalTransitionState=C,this.draggable&&this.addDraggableListeners(),this.focusTrap&&this.$focusTrap.enable(this.$refs.modal);var t=this.createModalEvent({state:\"opened\"});this.$emit(\"opened\",t)},beforeModalTransitionLeave:function(){this.modalTransitionState=j,this.resizeObserver.unobserve(this.$refs.modal),this.$focusTrap.enabled()&&this.$focusTrap.disable()},afterModalTransitionLeave:function(){this.modalTransitionState=A;var t=this.createModalEvent({state:\"closed\"});this.$emit(\"closed\",t)},onToggle:function(t,e,n){if(this.name===t){var i=void 0===e?!this.visible:e;this.toggle(i,n)}},setInitialSize:function(){var t=g(this.width),e=g(this.height);this.modal.width=t.value,this.modal.widthType=t.type,this.modal.height=e.value,this.modal.heightType=e.type},onEscapeKeyUp:function(t){27===t.which&&this.visible&&this.$modal.hide(this.name)},onWindowResize:function(){this.viewportWidth=u(),this.viewportHeight=window.innerHeight,this.ensureShiftInWindowBounds()},createModalEvent:function(t){var e=0<arguments.length&&void 0!==t?t:{};return function(e){for(var t=1;t<arguments.length;t++){var n=null!=arguments[t]?arguments[t]:{},i=Object.keys(n);\"function\"==typeof Object.getOwnPropertySymbols&&(i=i.concat(Object.getOwnPropertySymbols(n).filter(function(t){return Object.getOwnPropertyDescriptor(n,t).enumerable}))),i.forEach(function(t){L(e,t,n[t])})}return e}({name:this.name,ref:this.$refs.modal||null},e)},onModalResize:function(t){this.modal.widthType=\"px\",this.modal.width=t.size.width,this.modal.heightType=\"px\",this.modal.height=t.size.height,this.centerResize||(this.shiftLeft=this.getResizedShiftLeft(t),this.shiftTop=this.getResizedShiftTop(t));var e=this.modal.size;this.$emit(\"resize\",this.createModalEvent({size:e}))},getResizedShiftLeft:function(t){this.viewportHeight,this.viewportWidth,this.trueModalWidth,this.trueModalHeight;var e=this.shiftLeft;switch(t.direction){case\"vue-modal-topRight\":case\"vue-modal-bottomRight\":case\"vue-modal-right\":e+=.5*t.dimGrowth.width;break;case\"vue-modal-bottomLeft\":case\"vue-modal-topLeft\":case\"vue-modal-left\":e-=.5*t.dimGrowth.width;break;case\"vue-modal-top\":case\"vue-modal-bottom\":break;default:console.error(\"Could not Find Resize Direction In ShiftLeft\")}return e},getResizedShiftTop:function(t){this.viewportHeight,this.viewportWidth,this.trueModalWidth,this.trueModalHeight;var e=this.shiftTop;switch(t.direction){case\"vue-modal-bottom\":case\"vue-modal-bottomRight\":case\"vue-modal-bottomLeft\":e+=.5*t.dimGrowth.height;break;case\"vue-modal-top\":case\"vue-modal-topRight\":case\"vue-modal-topLeft\":e-=.5*t.dimGrowth.height;break;case\"vue-modal-left\":case\"vue-modal-right\":break;default:console.error(\"Could not Find Resize Direction In ShiftTop\")}return e},open:function(t){var e=this;this.reset&&(this.setInitialSize(),this.shiftLeft=0,this.shiftTop=0),this.scrollable&&document.body.classList.add(\"vm--block-scroll\");var n=!1,i=this.createModalEvent({cancel:function(){n=!0},state:\"before-open\",params:t});this.$emit(\"before-open\",i),n?this.scrollable&&document.body.classList.remove(\"vm--block-scroll\"):(\"undefined\"!=typeof document&&document.activeElement&&\"BODY\"!==document.activeElement.tagName&&document.activeElement.blur&&document.activeElement.blur(),this.visible=!0,this.$nextTick(function(){e.startTransitionEnter()}))},close:function(t){this.scrollable&&document.body.classList.remove(\"vm--block-scroll\");var e=!1,n=this.createModalEvent({cancel:function(){e=!0},state:\"before-close\",params:t});this.$emit(\"before-close\",n),e||this.startTransitionLeave()},toggle:function(t,e){this.visible!==t&&(t?this.open(e):this.close(e))},getDraggableElement:function(){return!0===this.draggable?this.$refs.modal:\"string\"==typeof this.draggable?this.$refs.modal.querySelector(this.draggable):null},onOverlayClick:function(){this.clickToClose&&this.toggle(!1)},addDraggableListeners:function(){var s=this,t=this.getDraggableElement();if(t){var a=0,l=0,u=0,c=0,e=function(t){var e=t.target;if(!(n=e)||-1===v.indexOf(n.nodeName)){var n,i=f(t),o=i.clientX,r=i.clientY;document.addEventListener(\"mousemove\",d),document.addEventListener(\"touchmove\",d),document.addEventListener(\"mouseup\",h),document.addEventListener(\"touchend\",h),a=o,l=r,u=s.shiftLeft,c=s.shiftTop}},d=function(t){var e=f(t),n=e.clientX,i=e.clientY;s.shiftLeft=u+n-a,s.shiftTop=c+i-l,t.preventDefault()},h=function t(e){s.ensureShiftInWindowBounds(),document.removeEventListener(\"mousemove\",d),document.removeEventListener(\"touchmove\",d),document.removeEventListener(\"mouseup\",t),document.removeEventListener(\"touchend\",t),e.preventDefault()};t.addEventListener(\"mousedown\",e),t.addEventListener(\"touchstart\",e)}},ensureShiftInWindowBounds:function(){var t=this.viewportHeight,e=this.viewportWidth,n=this.shiftLeft,i=this.shiftTop,o=this.shiftX,r=this.shiftY,s=this.trueModalWidth,a=this.trueModalHeight,l=e-s,u=Math.max(t-a,0),c=n+o*l,d=i+r*u;this.shiftLeft-=c-h(0,l,c),this.shiftTop-=d-h(0,u,d)}}},N=(n(9),d(H,i,[],!1,null,null,null));N.options.__file=\"src/components/Modal.vue\";function D(){var n=this,t=n.$createElement,i=n._self._c||t;return i(n.$modal.context.componentName,{tag:\"component\",attrs:{name:\"dialog\",height:\"auto\",classes:[\"vue-dialog\",this.params.class],width:n.width,\"shift-y\":.3,adaptive:!0,\"focus-trap\":!0,clickToClose:n.clickToClose,transition:n.transition},on:{\"before-open\":n.beforeOpened,\"before-close\":n.beforeClosed,opened:function(t){return n.$emit(\"opened\",t)},closed:function(t){return n.$emit(\"closed\",t)}}},[i(\"div\",{staticClass:\"vue-dialog-content\"},[n.params.title?i(\"div\",{staticClass:\"vue-dialog-content-title\",domProps:{innerHTML:n._s(n.params.title||\"\")}}):n._e(),n._v(\" \"),n.params.component?i(n.params.component,n._b({tag:\"component\"},\"component\",n.params.props,!1)):i(\"div\",{domProps:{innerHTML:n._s(n.params.text||\"\")}})],1),n._v(\" \"),n.buttons?i(\"div\",{staticClass:\"vue-dialog-buttons\"},n._l(n.buttons,function(t,e){return i(\"button\",{key:e,class:t.class||\"vue-dialog-button\",style:n.buttonStyle,attrs:{type:\"button\",tabindex:\"0\"},domProps:{innerHTML:n._s(t.title)},on:{click:function(t){return t.stopPropagation(),n.click(e,t)}}},[n._v(n._s(t.title))])}),0):i(\"div\",{staticClass:\"vue-dialog-buttons-none\"})])}var W=N.exports;D._withStripped=!0;var I={name:\"VueJsDialog\",props:{width:{type:[Number,String],default:400},clickToClose:{type:Boolean,default:!0},transition:{type:String}},data:function(){return{params:{}}},computed:{buttons:function(){return this.params.buttons||[]},buttonStyle:function(){return{flex:\"1 1 \".concat(100/this.buttons.length,\"%\")}}},methods:{beforeOpened:function(t){this.params=t.params||{},this.$emit(\"before-opened\",t)},beforeClosed:function(t){this.params={},this.$emit(\"before-closed\",t)},click:function(t,e,n){var i=2<arguments.length&&void 0!==n?n:\"click\",o=this.buttons[t],r=null==o?void 0:o.handler;\"function\"==typeof r&&r(t,e,{source:i})}}},P=(n(11),d(I,D,[],!1,null,null,null));P.options.__file=\"src/components/Dialog.vue\";function B(){var n=this,t=n.$createElement,i=n._self._c||t;return i(\"div\",{attrs:{id:\"modals-container\"}},n._l(n.modals,function(e){return i(\"modal\",n._g(n._b({key:e.id,on:{closed:function(t){return n.remove(e.id)}}},\"modal\",e.modalAttrs,!1),e.modalListeners),[i(e.component,n._g(n._b({tag:\"component\",on:{close:function(t){return n.$modal.hide(e.modalAttrs.name,t)}}},\"component\",e.componentAttrs,!1),n.$listeners))],1)}),1)}var X=P.exports;function Y(t,e,n){return e in t?Object.defineProperty(t,e,{value:n,enumerable:!0,configurable:!0,writable:!0}):t[e]=n,t}B._withStripped=!0;var G=d({data:function(){return{modals:[]}},created:function(){this.$root.__modalContainer=this},mounted:function(){var t=this;this.$modal.subscription.$on(\"hide-all\",function(){t.modals=[]})},methods:{add:function(t,e,n,i){var o=this,r=1<arguments.length&&void 0!==e?e:{},s=2<arguments.length&&void 0!==n?n:{},a=3<arguments.length&&void 0!==i?i:{},l=c(),u=s.name||\"dynamic_modal_\"+l;this.modals.push({id:l,modalAttrs:function(e){for(var t=1;t<arguments.length;t++){var n=null!=arguments[t]?arguments[t]:{},i=Object.keys(n);\"function\"==typeof Object.getOwnPropertySymbols&&(i=i.concat(Object.getOwnPropertySymbols(n).filter(function(t){return Object.getOwnPropertyDescriptor(n,t).enumerable}))),i.forEach(function(t){Y(e,t,n[t])})}return e}({},s,{name:u}),modalListeners:a,component:t,componentAttrs:r}),this.$nextTick(function(){o.$modal.show(u)})},remove:function(e){var t=this.modals.findIndex(function(t){return t.id===e});-1!==t&&this.modals.splice(t,1)}}},B,[],!1,null,null,null);G.options.__file=\"src/components/ModalsContainer.vue\";var U=G.exports;function F(t){return(F=\"function\"==typeof Symbol&&\"symbol\"==typeof Symbol.iterator?function(t){return typeof t}:function(t){return t&&\"function\"==typeof Symbol&&t.constructor===Symbol&&t!==Symbol.prototype?\"symbol\":typeof t})(t)}function q(t,e,n){return e in t?Object.defineProperty(t,e,{value:n,enumerable:!0,configurable:!0,writable:!0}):t[e]=n,t}var V=function(i,t){function o(t,e,n,i){var o,r=2<arguments.length&&void 0!==n?n:{},s=3<arguments.length?i:void 0,a=null===(o=c.root)||void 0===o?void 0:o.__modalContainer,l=u.dynamicDefaults||{};null!=a&&a.add(t,e,function(e){for(var t=1;t<arguments.length;t++){var n=null!=arguments[t]?arguments[t]:{},i=Object.keys(n);\"function\"==typeof Object.getOwnPropertySymbols&&(i=i.concat(Object.getOwnPropertySymbols(n).filter(function(t){return Object.getOwnPropertyDescriptor(n,t).enumerable}))),i.forEach(function(t){q(e,t,n[t])})}return e}({},l,r),s)}var u=1<arguments.length&&void 0!==t?t:{},r=new i,c={root:null,componentName:u.componentName||\"Modal\"};return{context:c,subscription:r,show:function(){for(var t=arguments.length,e=new Array(t),n=0;n<t;n++)e[n]=arguments[n];var i=e[0];switch(F(i)){case\"string\":(function(t,e){r.$emit(\"toggle\",t,!0,e)}).apply(void 0,e);break;case\"object\":case\"function\":o.apply(void 0,e);break;default:console.warn(\"[vue-js-modal] $modal() received an unsupported argument as a first argument.\",i)}},hide:function(t,e){r.$emit(\"toggle\",t,!1,e)},hideAll:function(){r.$emit(\"hide-all\")},toggle:function(t,e){r.$emit(\"toggle\",t,void 0,e)},setDynamicModalContainer:function(t){c.root=t;var e,n=(e=document.createElement(\"div\"),document.body.appendChild(e),e);new i({parent:t,render:function(t){return t(U)}}).$mount(n)}}},K={install:function(e,t){var n=1<arguments.length&&void 0!==t?t:{};if(!e.prototype.$modal){var i=new V(e,n);if(Object.defineProperty(e.prototype,\"$modal\",{get:function(){if(this instanceof e){var t=this.$root;i.context.root||i.setDynamicModalContainer(t)}return i}}),e.component(i.context.componentName,W),n.dialog){var o=n.dialogComponentName||\"VDialog\";e.component(o,X)}}}},J=\"__VERSION__\";e.default=K}],o.c=i,o.d=function(t,e,n){o.o(t,e)||Object.defineProperty(t,e,{enumerable:!0,get:n})},o.r=function(t){\"undefined\"!=typeof Symbol&&Symbol.toStringTag&&Object.defineProperty(t,Symbol.toStringTag,{value:\"Module\"}),Object.defineProperty(t,\"__esModule\",{value:!0})},o.t=function(e,t){if(1&t&&(e=o(e)),8&t)return e;if(4&t&&\"object\"==typeof e&&e&&e.__esModule)return e;var n=Object.create(null);if(o.r(n),Object.defineProperty(n,\"default\",{enumerable:!0,value:e}),2&t&&\"string\"!=typeof e)for(var i in e)o.d(n,i,function(t){return e[t]}.bind(null,i));return n},o.n=function(t){var e=t&&t.__esModule?function(){return t.default}:function(){return t};return o.d(e,\"a\",e),e},o.o=function(t,e){return Object.prototype.hasOwnProperty.call(t,e)},o.p=\"/dist/\",o(o.s=13);function o(t){if(i[t])return i[t].exports;var e=i[t]={i:t,l:!1,exports:{}};return n[t].call(e.exports,e,e.exports,o),e.l=!0,e.exports}var n,i});\n//# sourceMappingURL=index.js.map","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./ItemActions.vue?vue&type=style&index=0&id=be1d0792&prod&lang=scss&scoped=true\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"bdd4b34a\", content, shadowRoot)\n};","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".edit-form{padding:16px}.edit-form__filename{margin-top:16px;margin-bottom:16px}.edit-form .bx--list-box__menu{height:150px;max-height:150px;z-index:6000}.bx--dropdown-item{height:48px}.bx--dropdown-link{height:100%;display:flex;justify-content:center;flex-direction:column-reverse}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".bx--dropdown{border-bottom:none}.print-technique-group{display:flex;flex-direction:column;justify-content:space-between;padding:1rem 1rem 0 1rem;flex:1;width:20%;overflow:hidden;max-width:200px;min-width:17%}.print-technique-group #title{color:#161616;font-weight:700;font-size:14px}.print-technique-group #con{color:#c50c0c;margin-right:5px}.print-technique-group #pro{color:#198038;margin-right:5px}.print-technique-group .characteristic-item{display:flex;align-items:center;margin-top:10px}.print-technique-group .characteristic-name{font-size:12px;width:90%}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","export * from \"-!../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./VStep.vue?vue&type=style&index=0&id=a1b99918&prod&lang=scss&scoped=true\"","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./ImageThumbnails.vue?vue&type=style&index=0&id=7087dd10&prod&lang=scss&scoped=true\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"fabcdcfc\", content, shadowRoot)\n};","'use strict';\nvar uncurryThis = require('../internals/function-uncurry-this');\nvar toObject = require('../internals/to-object');\n\nvar hasOwnProperty = uncurryThis({}.hasOwnProperty);\n\n// `HasOwnProperty` abstract operation\n// https://tc39.es/ecma262/#sec-hasownproperty\n// eslint-disable-next-line es/no-object-hasown -- safe\nmodule.exports = Object.hasOwn || function hasOwn(it, key) {\n  return hasOwnProperty(toObject(it), key);\n};\n","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./ImagePanelOptions.vue?vue&type=style&index=1&id=980f7c3c&prod&lang=scss\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"24e6bb18\", content, shadowRoot)\n};","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./SwitchColor.vue?vue&type=style&index=0&id=1abaeb15&prod&lang=scss\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"9a35e4c0\", content, shadowRoot)\n};","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".confirmation-title[data-v-7c26d410]{font-size:20px;line-height:1.3;color:var(--gray-100)}.confirmation-desc[data-v-7c26d410]{font-size:14px;line-height:1.43;letter-spacing:.16px;color:var(--gray-100)}.small-detail-confirmation[data-v-7c26d410]{padding:0!important}.small-detail-confirmation .bx--row[data-v-7c26d410]{margin-left:0;margin-right:0}.small-detail-confirmation .bx--btn-set .bx--btn[data-v-7c26d410]{height:50px;max-width:50%;width:50%;font-size:14px}.p-15[data-v-7c26d410]{padding:15px}.ml-15[data-v-7c26d410]{margin-left:15px}.mt-10[data-v-7c26d410]{margin-top:10px}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./SmallDetailsLogoOnly.vue?vue&type=style&index=0&id=1e6bc25b&prod&lang=scss\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"2ffab2d6\", content, shadowRoot)\n};","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./ColorDropdown.vue?vue&type=style&index=0&id=2f97a665&prod&lang=scss&scoped=true\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"e945fc4c\", content, shadowRoot)\n};","export * from \"-!../../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./CustomToolset.vue?vue&type=style&index=1&id=57a4bc0e&prod&lang=scss&scoped=true\"","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".img-magnifier-container{position:relative;box-sizing:border-box;mix-blend-mode:darken;max-height:400px}.img-magnifier-glass{position:absolute;border:1px solid #000;cursor:none;width:60px;height:60px;background-repeat:no-repeat}.image-content{height:100%}.zoom-options{cursor:pointer;padding-left:15px;margin-top:10px;margin-bottom:10px;display:flex}.image2{width:100%;max-height:250px}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","'use strict';\n\nmodule.exports = function bind(fn, thisArg) {\n  return function wrap() {\n    var args = new Array(arguments.length);\n    for (var i = 0; i < args.length; i++) {\n      args[i] = arguments[i];\n    }\n    return fn.apply(thisArg, args);\n  };\n};\n","'use strict';\nvar isNullOrUndefined = require('../internals/is-null-or-undefined');\n\nvar $TypeError = TypeError;\n\n// `RequireObjectCoercible` abstract operation\n// https://tc39.es/ecma262/#sec-requireobjectcoercible\nmodule.exports = function (it) {\n  if (isNullOrUndefined(it)) throw new $TypeError(\"Can't call method on \" + it);\n  return it;\n};\n","\"use strict\";\n\nmodule.exports = function (url, options) {\n  if (!options) {\n    // eslint-disable-next-line no-param-reassign\n    options = {};\n  } // eslint-disable-next-line no-underscore-dangle, no-param-reassign\n\n\n  url = url && url.__esModule ? url.default : url;\n\n  if (typeof url !== 'string') {\n    return url;\n  } // If url is already wrapped in quotes, remove them\n\n\n  if (/^['\"].*['\"]$/.test(url)) {\n    // eslint-disable-next-line no-param-reassign\n    url = url.slice(1, -1);\n  }\n\n  if (options.hash) {\n    // eslint-disable-next-line no-param-reassign\n    url += options.hash;\n  } // Should url be wrapped?\n  // See https://drafts.csswg.org/css-values-3/#urls\n\n\n  if (/[\"'() \\t\\n]/.test(url) || options.needQuotes) {\n    return \"\\\"\".concat(url.replace(/\"/g, '\\\\\"').replace(/\\n/g, '\\\\n'), \"\\\"\");\n  }\n\n  return url;\n};","'use strict';\nvar $ = require('../internals/export');\nvar symmetricDifference = require('../internals/set-symmetric-difference');\nvar setMethodAcceptSetLike = require('../internals/set-method-accept-set-like');\n\n// `Set.prototype.symmetricDifference` method\n// https://github.com/tc39/proposal-set-methods\n$({ target: 'Set', proto: true, real: true, forced: !setMethodAcceptSetLike('symmetricDifference') }, {\n  symmetricDifference: symmetricDifference\n});\n","'use strict';\nvar $ = require('../internals/export');\nvar difference = require('../internals/set-difference');\nvar setMethodAcceptSetLike = require('../internals/set-method-accept-set-like');\n\n// `Set.prototype.difference` method\n// https://github.com/tc39/proposal-set-methods\n$({ target: 'Set', proto: true, real: true, forced: !setMethodAcceptSetLike('difference') }, {\n  difference: difference\n});\n","/**\n * lodash (Custom Build) <https://lodash.com/>\n * Build: `lodash modularize exports=\"npm\" -o ./`\n * Copyright jQuery Foundation and other contributors <https://jquery.org/>\n * Released under MIT license <https://lodash.com/license>\n * Based on Underscore.js 1.8.3 <http://underscorejs.org/LICENSE>\n * Copyright Jeremy Ashkenas, DocumentCloud and Investigative Reporters & Editors\n */\n\n/** Used as the size to enable large array optimizations. */\nvar LARGE_ARRAY_SIZE = 200;\n\n/** Used as the `TypeError` message for \"Functions\" methods. */\nvar FUNC_ERROR_TEXT = 'Expected a function';\n\n/** Used to stand-in for `undefined` hash values. */\nvar HASH_UNDEFINED = '__lodash_hash_undefined__';\n\n/** Used to compose bitmasks for comparison styles. */\nvar UNORDERED_COMPARE_FLAG = 1,\n    PARTIAL_COMPARE_FLAG = 2;\n\n/** Used as references for various `Number` constants. */\nvar INFINITY = 1 / 0,\n    MAX_SAFE_INTEGER = 9007199254740991;\n\n/** `Object#toString` result references. */\nvar argsTag = '[object Arguments]',\n    arrayTag = '[object Array]',\n    boolTag = '[object Boolean]',\n    dateTag = '[object Date]',\n    errorTag = '[object Error]',\n    funcTag = '[object Function]',\n    genTag = '[object GeneratorFunction]',\n    mapTag = '[object Map]',\n    numberTag = '[object Number]',\n    objectTag = '[object Object]',\n    promiseTag = '[object Promise]',\n    regexpTag = '[object RegExp]',\n    setTag = '[object Set]',\n    stringTag = '[object String]',\n    symbolTag = '[object Symbol]',\n    weakMapTag = '[object WeakMap]';\n\nvar arrayBufferTag = '[object ArrayBuffer]',\n    dataViewTag = '[object DataView]',\n    float32Tag = '[object Float32Array]',\n    float64Tag = '[object Float64Array]',\n    int8Tag = '[object Int8Array]',\n    int16Tag = '[object Int16Array]',\n    int32Tag = '[object Int32Array]',\n    uint8Tag = '[object Uint8Array]',\n    uint8ClampedTag = '[object Uint8ClampedArray]',\n    uint16Tag = '[object Uint16Array]',\n    uint32Tag = '[object Uint32Array]';\n\n/** Used to match property names within property paths. */\nvar reIsDeepProp = /\\.|\\[(?:[^[\\]]*|([\"'])(?:(?!\\1)[^\\\\]|\\\\.)*?\\1)\\]/,\n    reIsPlainProp = /^\\w*$/,\n    reLeadingDot = /^\\./,\n    rePropName = /[^.[\\]]+|\\[(?:(-?\\d+(?:\\.\\d+)?)|([\"'])((?:(?!\\2)[^\\\\]|\\\\.)*?)\\2)\\]|(?=(?:\\.|\\[\\])(?:\\.|\\[\\]|$))/g;\n\n/**\n * Used to match `RegExp`\n * [syntax characters](http://ecma-international.org/ecma-262/7.0/#sec-patterns).\n */\nvar reRegExpChar = /[\\\\^$.*+?()[\\]{}|]/g;\n\n/** Used to match backslashes in property paths. */\nvar reEscapeChar = /\\\\(\\\\)?/g;\n\n/** Used to detect host constructors (Safari). */\nvar reIsHostCtor = /^\\[object .+?Constructor\\]$/;\n\n/** Used to detect unsigned integer values. */\nvar reIsUint = /^(?:0|[1-9]\\d*)$/;\n\n/** Used to identify `toStringTag` values of typed arrays. */\nvar typedArrayTags = {};\ntypedArrayTags[float32Tag] = typedArrayTags[float64Tag] =\ntypedArrayTags[int8Tag] = typedArrayTags[int16Tag] =\ntypedArrayTags[int32Tag] = typedArrayTags[uint8Tag] =\ntypedArrayTags[uint8ClampedTag] = typedArrayTags[uint16Tag] =\ntypedArrayTags[uint32Tag] = true;\ntypedArrayTags[argsTag] = typedArrayTags[arrayTag] =\ntypedArrayTags[arrayBufferTag] = typedArrayTags[boolTag] =\ntypedArrayTags[dataViewTag] = typedArrayTags[dateTag] =\ntypedArrayTags[errorTag] = typedArrayTags[funcTag] =\ntypedArrayTags[mapTag] = typedArrayTags[numberTag] =\ntypedArrayTags[objectTag] = typedArrayTags[regexpTag] =\ntypedArrayTags[setTag] = typedArrayTags[stringTag] =\ntypedArrayTags[weakMapTag] = false;\n\n/** Detect free variable `global` from Node.js. */\nvar freeGlobal = typeof global == 'object' && global && global.Object === Object && global;\n\n/** Detect free variable `self`. */\nvar freeSelf = typeof self == 'object' && self && self.Object === Object && self;\n\n/** Used as a reference to the global object. */\nvar root = freeGlobal || freeSelf || Function('return this')();\n\n/** Detect free variable `exports`. */\nvar freeExports = typeof exports == 'object' && exports && !exports.nodeType && exports;\n\n/** Detect free variable `module`. */\nvar freeModule = freeExports && typeof module == 'object' && module && !module.nodeType && module;\n\n/** Detect the popular CommonJS extension `module.exports`. */\nvar moduleExports = freeModule && freeModule.exports === freeExports;\n\n/** Detect free variable `process` from Node.js. */\nvar freeProcess = moduleExports && freeGlobal.process;\n\n/** Used to access faster Node.js helpers. */\nvar nodeUtil = (function() {\n  try {\n    return freeProcess && freeProcess.binding('util');\n  } catch (e) {}\n}());\n\n/* Node.js helper references. */\nvar nodeIsTypedArray = nodeUtil && nodeUtil.isTypedArray;\n\n/**\n * A specialized version of `_.some` for arrays without support for iteratee\n * shorthands.\n *\n * @private\n * @param {Array} [array] The array to iterate over.\n * @param {Function} predicate The function invoked per iteration.\n * @returns {boolean} Returns `true` if any element passes the predicate check,\n *  else `false`.\n */\nfunction arraySome(array, predicate) {\n  var index = -1,\n      length = array ? array.length : 0;\n\n  while (++index < length) {\n    if (predicate(array[index], index, array)) {\n      return true;\n    }\n  }\n  return false;\n}\n\n/**\n * The base implementation of `_.property` without support for deep paths.\n *\n * @private\n * @param {string} key The key of the property to get.\n * @returns {Function} Returns the new accessor function.\n */\nfunction baseProperty(key) {\n  return function(object) {\n    return object == null ? undefined : object[key];\n  };\n}\n\n/**\n * The base implementation of `_.times` without support for iteratee shorthands\n * or max array length checks.\n *\n * @private\n * @param {number} n The number of times to invoke `iteratee`.\n * @param {Function} iteratee The function invoked per iteration.\n * @returns {Array} Returns the array of results.\n */\nfunction baseTimes(n, iteratee) {\n  var index = -1,\n      result = Array(n);\n\n  while (++index < n) {\n    result[index] = iteratee(index);\n  }\n  return result;\n}\n\n/**\n * The base implementation of `_.unary` without support for storing metadata.\n *\n * @private\n * @param {Function} func The function to cap arguments for.\n * @returns {Function} Returns the new capped function.\n */\nfunction baseUnary(func) {\n  return function(value) {\n    return func(value);\n  };\n}\n\n/**\n * Gets the value at `key` of `object`.\n *\n * @private\n * @param {Object} [object] The object to query.\n * @param {string} key The key of the property to get.\n * @returns {*} Returns the property value.\n */\nfunction getValue(object, key) {\n  return object == null ? undefined : object[key];\n}\n\n/**\n * Checks if `value` is a host object in IE < 9.\n *\n * @private\n * @param {*} value The value to check.\n * @returns {boolean} Returns `true` if `value` is a host object, else `false`.\n */\nfunction isHostObject(value) {\n  // Many host objects are `Object` objects that can coerce to strings\n  // despite having improperly defined `toString` methods.\n  var result = false;\n  if (value != null && typeof value.toString != 'function') {\n    try {\n      result = !!(value + '');\n    } catch (e) {}\n  }\n  return result;\n}\n\n/**\n * Converts `map` to its key-value pairs.\n *\n * @private\n * @param {Object} map The map to convert.\n * @returns {Array} Returns the key-value pairs.\n */\nfunction mapToArray(map) {\n  var index = -1,\n      result = Array(map.size);\n\n  map.forEach(function(value, key) {\n    result[++index] = [key, value];\n  });\n  return result;\n}\n\n/**\n * Creates a unary function that invokes `func` with its argument transformed.\n *\n * @private\n * @param {Function} func The function to wrap.\n * @param {Function} transform The argument transform.\n * @returns {Function} Returns the new function.\n */\nfunction overArg(func, transform) {\n  return function(arg) {\n    return func(transform(arg));\n  };\n}\n\n/**\n * Converts `set` to an array of its values.\n *\n * @private\n * @param {Object} set The set to convert.\n * @returns {Array} Returns the values.\n */\nfunction setToArray(set) {\n  var index = -1,\n      result = Array(set.size);\n\n  set.forEach(function(value) {\n    result[++index] = value;\n  });\n  return result;\n}\n\n/** Used for built-in method references. */\nvar arrayProto = Array.prototype,\n    funcProto = Function.prototype,\n    objectProto = Object.prototype;\n\n/** Used to detect overreaching core-js shims. */\nvar coreJsData = root['__core-js_shared__'];\n\n/** Used to detect methods masquerading as native. */\nvar maskSrcKey = (function() {\n  var uid = /[^.]+$/.exec(coreJsData && coreJsData.keys && coreJsData.keys.IE_PROTO || '');\n  return uid ? ('Symbol(src)_1.' + uid) : '';\n}());\n\n/** Used to resolve the decompiled source of functions. */\nvar funcToString = funcProto.toString;\n\n/** Used to check objects for own properties. */\nvar hasOwnProperty = objectProto.hasOwnProperty;\n\n/**\n * Used to resolve the\n * [`toStringTag`](http://ecma-international.org/ecma-262/7.0/#sec-object.prototype.tostring)\n * of values.\n */\nvar objectToString = objectProto.toString;\n\n/** Used to detect if a method is native. */\nvar reIsNative = RegExp('^' +\n  funcToString.call(hasOwnProperty).replace(reRegExpChar, '\\\\$&')\n  .replace(/hasOwnProperty|(function).*?(?=\\\\\\()| for .+?(?=\\\\\\])/g, '$1.*?') + '$'\n);\n\n/** Built-in value references. */\nvar Symbol = root.Symbol,\n    Uint8Array = root.Uint8Array,\n    propertyIsEnumerable = objectProto.propertyIsEnumerable,\n    splice = arrayProto.splice;\n\n/* Built-in method references for those with the same name as other `lodash` methods. */\nvar nativeKeys = overArg(Object.keys, Object);\n\n/* Built-in method references that are verified to be native. */\nvar DataView = getNative(root, 'DataView'),\n    Map = getNative(root, 'Map'),\n    Promise = getNative(root, 'Promise'),\n    Set = getNative(root, 'Set'),\n    WeakMap = getNative(root, 'WeakMap'),\n    nativeCreate = getNative(Object, 'create');\n\n/** Used to detect maps, sets, and weakmaps. */\nvar dataViewCtorString = toSource(DataView),\n    mapCtorString = toSource(Map),\n    promiseCtorString = toSource(Promise),\n    setCtorString = toSource(Set),\n    weakMapCtorString = toSource(WeakMap);\n\n/** Used to convert symbols to primitives and strings. */\nvar symbolProto = Symbol ? Symbol.prototype : undefined,\n    symbolValueOf = symbolProto ? symbolProto.valueOf : undefined,\n    symbolToString = symbolProto ? symbolProto.toString : undefined;\n\n/**\n * Creates a hash object.\n *\n * @private\n * @constructor\n * @param {Array} [entries] The key-value pairs to cache.\n */\nfunction Hash(entries) {\n  var index = -1,\n      length = entries ? entries.length : 0;\n\n  this.clear();\n  while (++index < length) {\n    var entry = entries[index];\n    this.set(entry[0], entry[1]);\n  }\n}\n\n/**\n * Removes all key-value entries from the hash.\n *\n * @private\n * @name clear\n * @memberOf Hash\n */\nfunction hashClear() {\n  this.__data__ = nativeCreate ? nativeCreate(null) : {};\n}\n\n/**\n * Removes `key` and its value from the hash.\n *\n * @private\n * @name delete\n * @memberOf Hash\n * @param {Object} hash The hash to modify.\n * @param {string} key The key of the value to remove.\n * @returns {boolean} Returns `true` if the entry was removed, else `false`.\n */\nfunction hashDelete(key) {\n  return this.has(key) && delete this.__data__[key];\n}\n\n/**\n * Gets the hash value for `key`.\n *\n * @private\n * @name get\n * @memberOf Hash\n * @param {string} key The key of the value to get.\n * @returns {*} Returns the entry value.\n */\nfunction hashGet(key) {\n  var data = this.__data__;\n  if (nativeCreate) {\n    var result = data[key];\n    return result === HASH_UNDEFINED ? undefined : result;\n  }\n  return hasOwnProperty.call(data, key) ? data[key] : undefined;\n}\n\n/**\n * Checks if a hash value for `key` exists.\n *\n * @private\n * @name has\n * @memberOf Hash\n * @param {string} key The key of the entry to check.\n * @returns {boolean} Returns `true` if an entry for `key` exists, else `false`.\n */\nfunction hashHas(key) {\n  var data = this.__data__;\n  return nativeCreate ? data[key] !== undefined : hasOwnProperty.call(data, key);\n}\n\n/**\n * Sets the hash `key` to `value`.\n *\n * @private\n * @name set\n * @memberOf Hash\n * @param {string} key The key of the value to set.\n * @param {*} value The value to set.\n * @returns {Object} Returns the hash instance.\n */\nfunction hashSet(key, value) {\n  var data = this.__data__;\n  data[key] = (nativeCreate && value === undefined) ? HASH_UNDEFINED : value;\n  return this;\n}\n\n// Add methods to `Hash`.\nHash.prototype.clear = hashClear;\nHash.prototype['delete'] = hashDelete;\nHash.prototype.get = hashGet;\nHash.prototype.has = hashHas;\nHash.prototype.set = hashSet;\n\n/**\n * Creates an list cache object.\n *\n * @private\n * @constructor\n * @param {Array} [entries] The key-value pairs to cache.\n */\nfunction ListCache(entries) {\n  var index = -1,\n      length = entries ? entries.length : 0;\n\n  this.clear();\n  while (++index < length) {\n    var entry = entries[index];\n    this.set(entry[0], entry[1]);\n  }\n}\n\n/**\n * Removes all key-value entries from the list cache.\n *\n * @private\n * @name clear\n * @memberOf ListCache\n */\nfunction listCacheClear() {\n  this.__data__ = [];\n}\n\n/**\n * Removes `key` and its value from the list cache.\n *\n * @private\n * @name delete\n * @memberOf ListCache\n * @param {string} key The key of the value to remove.\n * @returns {boolean} Returns `true` if the entry was removed, else `false`.\n */\nfunction listCacheDelete(key) {\n  var data = this.__data__,\n      index = assocIndexOf(data, key);\n\n  if (index < 0) {\n    return false;\n  }\n  var lastIndex = data.length - 1;\n  if (index == lastIndex) {\n    data.pop();\n  } else {\n    splice.call(data, index, 1);\n  }\n  return true;\n}\n\n/**\n * Gets the list cache value for `key`.\n *\n * @private\n * @name get\n * @memberOf ListCache\n * @param {string} key The key of the value to get.\n * @returns {*} Returns the entry value.\n */\nfunction listCacheGet(key) {\n  var data = this.__data__,\n      index = assocIndexOf(data, key);\n\n  return index < 0 ? undefined : data[index][1];\n}\n\n/**\n * Checks if a list cache value for `key` exists.\n *\n * @private\n * @name has\n * @memberOf ListCache\n * @param {string} key The key of the entry to check.\n * @returns {boolean} Returns `true` if an entry for `key` exists, else `false`.\n */\nfunction listCacheHas(key) {\n  return assocIndexOf(this.__data__, key) > -1;\n}\n\n/**\n * Sets the list cache `key` to `value`.\n *\n * @private\n * @name set\n * @memberOf ListCache\n * @param {string} key The key of the value to set.\n * @param {*} value The value to set.\n * @returns {Object} Returns the list cache instance.\n */\nfunction listCacheSet(key, value) {\n  var data = this.__data__,\n      index = assocIndexOf(data, key);\n\n  if (index < 0) {\n    data.push([key, value]);\n  } else {\n    data[index][1] = value;\n  }\n  return this;\n}\n\n// Add methods to `ListCache`.\nListCache.prototype.clear = listCacheClear;\nListCache.prototype['delete'] = listCacheDelete;\nListCache.prototype.get = listCacheGet;\nListCache.prototype.has = listCacheHas;\nListCache.prototype.set = listCacheSet;\n\n/**\n * Creates a map cache object to store key-value pairs.\n *\n * @private\n * @constructor\n * @param {Array} [entries] The key-value pairs to cache.\n */\nfunction MapCache(entries) {\n  var index = -1,\n      length = entries ? entries.length : 0;\n\n  this.clear();\n  while (++index < length) {\n    var entry = entries[index];\n    this.set(entry[0], entry[1]);\n  }\n}\n\n/**\n * Removes all key-value entries from the map.\n *\n * @private\n * @name clear\n * @memberOf MapCache\n */\nfunction mapCacheClear() {\n  this.__data__ = {\n    'hash': new Hash,\n    'map': new (Map || ListCache),\n    'string': new Hash\n  };\n}\n\n/**\n * Removes `key` and its value from the map.\n *\n * @private\n * @name delete\n * @memberOf MapCache\n * @param {string} key The key of the value to remove.\n * @returns {boolean} Returns `true` if the entry was removed, else `false`.\n */\nfunction mapCacheDelete(key) {\n  return getMapData(this, key)['delete'](key);\n}\n\n/**\n * Gets the map value for `key`.\n *\n * @private\n * @name get\n * @memberOf MapCache\n * @param {string} key The key of the value to get.\n * @returns {*} Returns the entry value.\n */\nfunction mapCacheGet(key) {\n  return getMapData(this, key).get(key);\n}\n\n/**\n * Checks if a map value for `key` exists.\n *\n * @private\n * @name has\n * @memberOf MapCache\n * @param {string} key The key of the entry to check.\n * @returns {boolean} Returns `true` if an entry for `key` exists, else `false`.\n */\nfunction mapCacheHas(key) {\n  return getMapData(this, key).has(key);\n}\n\n/**\n * Sets the map `key` to `value`.\n *\n * @private\n * @name set\n * @memberOf MapCache\n * @param {string} key The key of the value to set.\n * @param {*} value The value to set.\n * @returns {Object} Returns the map cache instance.\n */\nfunction mapCacheSet(key, value) {\n  getMapData(this, key).set(key, value);\n  return this;\n}\n\n// Add methods to `MapCache`.\nMapCache.prototype.clear = mapCacheClear;\nMapCache.prototype['delete'] = mapCacheDelete;\nMapCache.prototype.get = mapCacheGet;\nMapCache.prototype.has = mapCacheHas;\nMapCache.prototype.set = mapCacheSet;\n\n/**\n *\n * Creates an array cache object to store unique values.\n *\n * @private\n * @constructor\n * @param {Array} [values] The values to cache.\n */\nfunction SetCache(values) {\n  var index = -1,\n      length = values ? values.length : 0;\n\n  this.__data__ = new MapCache;\n  while (++index < length) {\n    this.add(values[index]);\n  }\n}\n\n/**\n * Adds `value` to the array cache.\n *\n * @private\n * @name add\n * @memberOf SetCache\n * @alias push\n * @param {*} value The value to cache.\n * @returns {Object} Returns the cache instance.\n */\nfunction setCacheAdd(value) {\n  this.__data__.set(value, HASH_UNDEFINED);\n  return this;\n}\n\n/**\n * Checks if `value` is in the array cache.\n *\n * @private\n * @name has\n * @memberOf SetCache\n * @param {*} value The value to search for.\n * @returns {number} Returns `true` if `value` is found, else `false`.\n */\nfunction setCacheHas(value) {\n  return this.__data__.has(value);\n}\n\n// Add methods to `SetCache`.\nSetCache.prototype.add = SetCache.prototype.push = setCacheAdd;\nSetCache.prototype.has = setCacheHas;\n\n/**\n * Creates a stack cache object to store key-value pairs.\n *\n * @private\n * @constructor\n * @param {Array} [entries] The key-value pairs to cache.\n */\nfunction Stack(entries) {\n  this.__data__ = new ListCache(entries);\n}\n\n/**\n * Removes all key-value entries from the stack.\n *\n * @private\n * @name clear\n * @memberOf Stack\n */\nfunction stackClear() {\n  this.__data__ = new ListCache;\n}\n\n/**\n * Removes `key` and its value from the stack.\n *\n * @private\n * @name delete\n * @memberOf Stack\n * @param {string} key The key of the value to remove.\n * @returns {boolean} Returns `true` if the entry was removed, else `false`.\n */\nfunction stackDelete(key) {\n  return this.__data__['delete'](key);\n}\n\n/**\n * Gets the stack value for `key`.\n *\n * @private\n * @name get\n * @memberOf Stack\n * @param {string} key The key of the value to get.\n * @returns {*} Returns the entry value.\n */\nfunction stackGet(key) {\n  return this.__data__.get(key);\n}\n\n/**\n * Checks if a stack value for `key` exists.\n *\n * @private\n * @name has\n * @memberOf Stack\n * @param {string} key The key of the entry to check.\n * @returns {boolean} Returns `true` if an entry for `key` exists, else `false`.\n */\nfunction stackHas(key) {\n  return this.__data__.has(key);\n}\n\n/**\n * Sets the stack `key` to `value`.\n *\n * @private\n * @name set\n * @memberOf Stack\n * @param {string} key The key of the value to set.\n * @param {*} value The value to set.\n * @returns {Object} Returns the stack cache instance.\n */\nfunction stackSet(key, value) {\n  var cache = this.__data__;\n  if (cache instanceof ListCache) {\n    var pairs = cache.__data__;\n    if (!Map || (pairs.length < LARGE_ARRAY_SIZE - 1)) {\n      pairs.push([key, value]);\n      return this;\n    }\n    cache = this.__data__ = new MapCache(pairs);\n  }\n  cache.set(key, value);\n  return this;\n}\n\n// Add methods to `Stack`.\nStack.prototype.clear = stackClear;\nStack.prototype['delete'] = stackDelete;\nStack.prototype.get = stackGet;\nStack.prototype.has = stackHas;\nStack.prototype.set = stackSet;\n\n/**\n * Creates an array of the enumerable property names of the array-like `value`.\n *\n * @private\n * @param {*} value The value to query.\n * @param {boolean} inherited Specify returning inherited property names.\n * @returns {Array} Returns the array of property names.\n */\nfunction arrayLikeKeys(value, inherited) {\n  // Safari 8.1 makes `arguments.callee` enumerable in strict mode.\n  // Safari 9 makes `arguments.length` enumerable in strict mode.\n  var result = (isArray(value) || isArguments(value))\n    ? baseTimes(value.length, String)\n    : [];\n\n  var length = result.length,\n      skipIndexes = !!length;\n\n  for (var key in value) {\n    if ((inherited || hasOwnProperty.call(value, key)) &&\n        !(skipIndexes && (key == 'length' || isIndex(key, length)))) {\n      result.push(key);\n    }\n  }\n  return result;\n}\n\n/**\n * Gets the index at which the `key` is found in `array` of key-value pairs.\n *\n * @private\n * @param {Array} array The array to inspect.\n * @param {*} key The key to search for.\n * @returns {number} Returns the index of the matched value, else `-1`.\n */\nfunction assocIndexOf(array, key) {\n  var length = array.length;\n  while (length--) {\n    if (eq(array[length][0], key)) {\n      return length;\n    }\n  }\n  return -1;\n}\n\n/**\n * The base implementation of `_.get` without support for default values.\n *\n * @private\n * @param {Object} object The object to query.\n * @param {Array|string} path The path of the property to get.\n * @returns {*} Returns the resolved value.\n */\nfunction baseGet(object, path) {\n  path = isKey(path, object) ? [path] : castPath(path);\n\n  var index = 0,\n      length = path.length;\n\n  while (object != null && index < length) {\n    object = object[toKey(path[index++])];\n  }\n  return (index && index == length) ? object : undefined;\n}\n\n/**\n * The base implementation of `getTag`.\n *\n * @private\n * @param {*} value The value to query.\n * @returns {string} Returns the `toStringTag`.\n */\nfunction baseGetTag(value) {\n  return objectToString.call(value);\n}\n\n/**\n * The base implementation of `_.hasIn` without support for deep paths.\n *\n * @private\n * @param {Object} [object] The object to query.\n * @param {Array|string} key The key to check.\n * @returns {boolean} Returns `true` if `key` exists, else `false`.\n */\nfunction baseHasIn(object, key) {\n  return object != null && key in Object(object);\n}\n\n/**\n * The base implementation of `_.isEqual` which supports partial comparisons\n * and tracks traversed objects.\n *\n * @private\n * @param {*} value The value to compare.\n * @param {*} other The other value to compare.\n * @param {Function} [customizer] The function to customize comparisons.\n * @param {boolean} [bitmask] The bitmask of comparison flags.\n *  The bitmask may be composed of the following flags:\n *     1 - Unordered comparison\n *     2 - Partial comparison\n * @param {Object} [stack] Tracks traversed `value` and `other` objects.\n * @returns {boolean} Returns `true` if the values are equivalent, else `false`.\n */\nfunction baseIsEqual(value, other, customizer, bitmask, stack) {\n  if (value === other) {\n    return true;\n  }\n  if (value == null || other == null || (!isObject(value) && !isObjectLike(other))) {\n    return value !== value && other !== other;\n  }\n  return baseIsEqualDeep(value, other, baseIsEqual, customizer, bitmask, stack);\n}\n\n/**\n * A specialized version of `baseIsEqual` for arrays and objects which performs\n * deep comparisons and tracks traversed objects enabling objects with circular\n * references to be compared.\n *\n * @private\n * @param {Object} object The object to compare.\n * @param {Object} other The other object to compare.\n * @param {Function} equalFunc The function to determine equivalents of values.\n * @param {Function} [customizer] The function to customize comparisons.\n * @param {number} [bitmask] The bitmask of comparison flags. See `baseIsEqual`\n *  for more details.\n * @param {Object} [stack] Tracks traversed `object` and `other` objects.\n * @returns {boolean} Returns `true` if the objects are equivalent, else `false`.\n */\nfunction baseIsEqualDeep(object, other, equalFunc, customizer, bitmask, stack) {\n  var objIsArr = isArray(object),\n      othIsArr = isArray(other),\n      objTag = arrayTag,\n      othTag = arrayTag;\n\n  if (!objIsArr) {\n    objTag = getTag(object);\n    objTag = objTag == argsTag ? objectTag : objTag;\n  }\n  if (!othIsArr) {\n    othTag = getTag(other);\n    othTag = othTag == argsTag ? objectTag : othTag;\n  }\n  var objIsObj = objTag == objectTag && !isHostObject(object),\n      othIsObj = othTag == objectTag && !isHostObject(other),\n      isSameTag = objTag == othTag;\n\n  if (isSameTag && !objIsObj) {\n    stack || (stack = new Stack);\n    return (objIsArr || isTypedArray(object))\n      ? equalArrays(object, other, equalFunc, customizer, bitmask, stack)\n      : equalByTag(object, other, objTag, equalFunc, customizer, bitmask, stack);\n  }\n  if (!(bitmask & PARTIAL_COMPARE_FLAG)) {\n    var objIsWrapped = objIsObj && hasOwnProperty.call(object, '__wrapped__'),\n        othIsWrapped = othIsObj && hasOwnProperty.call(other, '__wrapped__');\n\n    if (objIsWrapped || othIsWrapped) {\n      var objUnwrapped = objIsWrapped ? object.value() : object,\n          othUnwrapped = othIsWrapped ? other.value() : other;\n\n      stack || (stack = new Stack);\n      return equalFunc(objUnwrapped, othUnwrapped, customizer, bitmask, stack);\n    }\n  }\n  if (!isSameTag) {\n    return false;\n  }\n  stack || (stack = new Stack);\n  return equalObjects(object, other, equalFunc, customizer, bitmask, stack);\n}\n\n/**\n * The base implementation of `_.isMatch` without support for iteratee shorthands.\n *\n * @private\n * @param {Object} object The object to inspect.\n * @param {Object} source The object of property values to match.\n * @param {Array} matchData The property names, values, and compare flags to match.\n * @param {Function} [customizer] The function to customize comparisons.\n * @returns {boolean} Returns `true` if `object` is a match, else `false`.\n */\nfunction baseIsMatch(object, source, matchData, customizer) {\n  var index = matchData.length,\n      length = index,\n      noCustomizer = !customizer;\n\n  if (object == null) {\n    return !length;\n  }\n  object = Object(object);\n  while (index--) {\n    var data = matchData[index];\n    if ((noCustomizer && data[2])\n          ? data[1] !== object[data[0]]\n          : !(data[0] in object)\n        ) {\n      return false;\n    }\n  }\n  while (++index < length) {\n    data = matchData[index];\n    var key = data[0],\n        objValue = object[key],\n        srcValue = data[1];\n\n    if (noCustomizer && data[2]) {\n      if (objValue === undefined && !(key in object)) {\n        return false;\n      }\n    } else {\n      var stack = new Stack;\n      if (customizer) {\n        var result = customizer(objValue, srcValue, key, object, source, stack);\n      }\n      if (!(result === undefined\n            ? baseIsEqual(srcValue, objValue, customizer, UNORDERED_COMPARE_FLAG | PARTIAL_COMPARE_FLAG, stack)\n            : result\n          )) {\n        return false;\n      }\n    }\n  }\n  return true;\n}\n\n/**\n * The base implementation of `_.isNative` without bad shim checks.\n *\n * @private\n * @param {*} value The value to check.\n * @returns {boolean} Returns `true` if `value` is a native function,\n *  else `false`.\n */\nfunction baseIsNative(value) {\n  if (!isObject(value) || isMasked(value)) {\n    return false;\n  }\n  var pattern = (isFunction(value) || isHostObject(value)) ? reIsNative : reIsHostCtor;\n  return pattern.test(toSource(value));\n}\n\n/**\n * The base implementation of `_.isTypedArray` without Node.js optimizations.\n *\n * @private\n * @param {*} value The value to check.\n * @returns {boolean} Returns `true` if `value` is a typed array, else `false`.\n */\nfunction baseIsTypedArray(value) {\n  return isObjectLike(value) &&\n    isLength(value.length) && !!typedArrayTags[objectToString.call(value)];\n}\n\n/**\n * The base implementation of `_.iteratee`.\n *\n * @private\n * @param {*} [value=_.identity] The value to convert to an iteratee.\n * @returns {Function} Returns the iteratee.\n */\nfunction baseIteratee(value) {\n  // Don't store the `typeof` result in a variable to avoid a JIT bug in Safari 9.\n  // See https://bugs.webkit.org/show_bug.cgi?id=156034 for more details.\n  if (typeof value == 'function') {\n    return value;\n  }\n  if (value == null) {\n    return identity;\n  }\n  if (typeof value == 'object') {\n    return isArray(value)\n      ? baseMatchesProperty(value[0], value[1])\n      : baseMatches(value);\n  }\n  return property(value);\n}\n\n/**\n * The base implementation of `_.keys` which doesn't treat sparse arrays as dense.\n *\n * @private\n * @param {Object} object The object to query.\n * @returns {Array} Returns the array of property names.\n */\nfunction baseKeys(object) {\n  if (!isPrototype(object)) {\n    return nativeKeys(object);\n  }\n  var result = [];\n  for (var key in Object(object)) {\n    if (hasOwnProperty.call(object, key) && key != 'constructor') {\n      result.push(key);\n    }\n  }\n  return result;\n}\n\n/**\n * The base implementation of `_.matches` which doesn't clone `source`.\n *\n * @private\n * @param {Object} source The object of property values to match.\n * @returns {Function} Returns the new spec function.\n */\nfunction baseMatches(source) {\n  var matchData = getMatchData(source);\n  if (matchData.length == 1 && matchData[0][2]) {\n    return matchesStrictComparable(matchData[0][0], matchData[0][1]);\n  }\n  return function(object) {\n    return object === source || baseIsMatch(object, source, matchData);\n  };\n}\n\n/**\n * The base implementation of `_.matchesProperty` which doesn't clone `srcValue`.\n *\n * @private\n * @param {string} path The path of the property to get.\n * @param {*} srcValue The value to match.\n * @returns {Function} Returns the new spec function.\n */\nfunction baseMatchesProperty(path, srcValue) {\n  if (isKey(path) && isStrictComparable(srcValue)) {\n    return matchesStrictComparable(toKey(path), srcValue);\n  }\n  return function(object) {\n    var objValue = get(object, path);\n    return (objValue === undefined && objValue === srcValue)\n      ? hasIn(object, path)\n      : baseIsEqual(srcValue, objValue, undefined, UNORDERED_COMPARE_FLAG | PARTIAL_COMPARE_FLAG);\n  };\n}\n\n/**\n * A specialized version of `baseProperty` which supports deep paths.\n *\n * @private\n * @param {Array|string} path The path of the property to get.\n * @returns {Function} Returns the new accessor function.\n */\nfunction basePropertyDeep(path) {\n  return function(object) {\n    return baseGet(object, path);\n  };\n}\n\n/**\n * The base implementation of `_.pullAt` without support for individual\n * indexes or capturing the removed elements.\n *\n * @private\n * @param {Array} array The array to modify.\n * @param {number[]} indexes The indexes of elements to remove.\n * @returns {Array} Returns `array`.\n */\nfunction basePullAt(array, indexes) {\n  var length = array ? indexes.length : 0,\n      lastIndex = length - 1;\n\n  while (length--) {\n    var index = indexes[length];\n    if (length == lastIndex || index !== previous) {\n      var previous = index;\n      if (isIndex(index)) {\n        splice.call(array, index, 1);\n      }\n      else if (!isKey(index, array)) {\n        var path = castPath(index),\n            object = parent(array, path);\n\n        if (object != null) {\n          delete object[toKey(last(path))];\n        }\n      }\n      else {\n        delete array[toKey(index)];\n      }\n    }\n  }\n  return array;\n}\n\n/**\n * The base implementation of `_.slice` without an iteratee call guard.\n *\n * @private\n * @param {Array} array The array to slice.\n * @param {number} [start=0] The start position.\n * @param {number} [end=array.length] The end position.\n * @returns {Array} Returns the slice of `array`.\n */\nfunction baseSlice(array, start, end) {\n  var index = -1,\n      length = array.length;\n\n  if (start < 0) {\n    start = -start > length ? 0 : (length + start);\n  }\n  end = end > length ? length : end;\n  if (end < 0) {\n    end += length;\n  }\n  length = start > end ? 0 : ((end - start) >>> 0);\n  start >>>= 0;\n\n  var result = Array(length);\n  while (++index < length) {\n    result[index] = array[index + start];\n  }\n  return result;\n}\n\n/**\n * The base implementation of `_.toString` which doesn't convert nullish\n * values to empty strings.\n *\n * @private\n * @param {*} value The value to process.\n * @returns {string} Returns the string.\n */\nfunction baseToString(value) {\n  // Exit early for strings to avoid a performance hit in some environments.\n  if (typeof value == 'string') {\n    return value;\n  }\n  if (isSymbol(value)) {\n    return symbolToString ? symbolToString.call(value) : '';\n  }\n  var result = (value + '');\n  return (result == '0' && (1 / value) == -INFINITY) ? '-0' : result;\n}\n\n/**\n * Casts `value` to a path array if it's not one.\n *\n * @private\n * @param {*} value The value to inspect.\n * @returns {Array} Returns the cast property path array.\n */\nfunction castPath(value) {\n  return isArray(value) ? value : stringToPath(value);\n}\n\n/**\n * A specialized version of `baseIsEqualDeep` for arrays with support for\n * partial deep comparisons.\n *\n * @private\n * @param {Array} array The array to compare.\n * @param {Array} other The other array to compare.\n * @param {Function} equalFunc The function to determine equivalents of values.\n * @param {Function} customizer The function to customize comparisons.\n * @param {number} bitmask The bitmask of comparison flags. See `baseIsEqual`\n *  for more details.\n * @param {Object} stack Tracks traversed `array` and `other` objects.\n * @returns {boolean} Returns `true` if the arrays are equivalent, else `false`.\n */\nfunction equalArrays(array, other, equalFunc, customizer, bitmask, stack) {\n  var isPartial = bitmask & PARTIAL_COMPARE_FLAG,\n      arrLength = array.length,\n      othLength = other.length;\n\n  if (arrLength != othLength && !(isPartial && othLength > arrLength)) {\n    return false;\n  }\n  // Assume cyclic values are equal.\n  var stacked = stack.get(array);\n  if (stacked && stack.get(other)) {\n    return stacked == other;\n  }\n  var index = -1,\n      result = true,\n      seen = (bitmask & UNORDERED_COMPARE_FLAG) ? new SetCache : undefined;\n\n  stack.set(array, other);\n  stack.set(other, array);\n\n  // Ignore non-index properties.\n  while (++index < arrLength) {\n    var arrValue = array[index],\n        othValue = other[index];\n\n    if (customizer) {\n      var compared = isPartial\n        ? customizer(othValue, arrValue, index, other, array, stack)\n        : customizer(arrValue, othValue, index, array, other, stack);\n    }\n    if (compared !== undefined) {\n      if (compared) {\n        continue;\n      }\n      result = false;\n      break;\n    }\n    // Recursively compare arrays (susceptible to call stack limits).\n    if (seen) {\n      if (!arraySome(other, function(othValue, othIndex) {\n            if (!seen.has(othIndex) &&\n                (arrValue === othValue || equalFunc(arrValue, othValue, customizer, bitmask, stack))) {\n              return seen.add(othIndex);\n            }\n          })) {\n        result = false;\n        break;\n      }\n    } else if (!(\n          arrValue === othValue ||\n            equalFunc(arrValue, othValue, customizer, bitmask, stack)\n        )) {\n      result = false;\n      break;\n    }\n  }\n  stack['delete'](array);\n  stack['delete'](other);\n  return result;\n}\n\n/**\n * A specialized version of `baseIsEqualDeep` for comparing objects of\n * the same `toStringTag`.\n *\n * **Note:** This function only supports comparing values with tags of\n * `Boolean`, `Date`, `Error`, `Number`, `RegExp`, or `String`.\n *\n * @private\n * @param {Object} object The object to compare.\n * @param {Object} other The other object to compare.\n * @param {string} tag The `toStringTag` of the objects to compare.\n * @param {Function} equalFunc The function to determine equivalents of values.\n * @param {Function} customizer The function to customize comparisons.\n * @param {number} bitmask The bitmask of comparison flags. See `baseIsEqual`\n *  for more details.\n * @param {Object} stack Tracks traversed `object` and `other` objects.\n * @returns {boolean} Returns `true` if the objects are equivalent, else `false`.\n */\nfunction equalByTag(object, other, tag, equalFunc, customizer, bitmask, stack) {\n  switch (tag) {\n    case dataViewTag:\n      if ((object.byteLength != other.byteLength) ||\n          (object.byteOffset != other.byteOffset)) {\n        return false;\n      }\n      object = object.buffer;\n      other = other.buffer;\n\n    case arrayBufferTag:\n      if ((object.byteLength != other.byteLength) ||\n          !equalFunc(new Uint8Array(object), new Uint8Array(other))) {\n        return false;\n      }\n      return true;\n\n    case boolTag:\n    case dateTag:\n    case numberTag:\n      // Coerce booleans to `1` or `0` and dates to milliseconds.\n      // Invalid dates are coerced to `NaN`.\n      return eq(+object, +other);\n\n    case errorTag:\n      return object.name == other.name && object.message == other.message;\n\n    case regexpTag:\n    case stringTag:\n      // Coerce regexes to strings and treat strings, primitives and objects,\n      // as equal. See http://www.ecma-international.org/ecma-262/7.0/#sec-regexp.prototype.tostring\n      // for more details.\n      return object == (other + '');\n\n    case mapTag:\n      var convert = mapToArray;\n\n    case setTag:\n      var isPartial = bitmask & PARTIAL_COMPARE_FLAG;\n      convert || (convert = setToArray);\n\n      if (object.size != other.size && !isPartial) {\n        return false;\n      }\n      // Assume cyclic values are equal.\n      var stacked = stack.get(object);\n      if (stacked) {\n        return stacked == other;\n      }\n      bitmask |= UNORDERED_COMPARE_FLAG;\n\n      // Recursively compare objects (susceptible to call stack limits).\n      stack.set(object, other);\n      var result = equalArrays(convert(object), convert(other), equalFunc, customizer, bitmask, stack);\n      stack['delete'](object);\n      return result;\n\n    case symbolTag:\n      if (symbolValueOf) {\n        return symbolValueOf.call(object) == symbolValueOf.call(other);\n      }\n  }\n  return false;\n}\n\n/**\n * A specialized version of `baseIsEqualDeep` for objects with support for\n * partial deep comparisons.\n *\n * @private\n * @param {Object} object The object to compare.\n * @param {Object} other The other object to compare.\n * @param {Function} equalFunc The function to determine equivalents of values.\n * @param {Function} customizer The function to customize comparisons.\n * @param {number} bitmask The bitmask of comparison flags. See `baseIsEqual`\n *  for more details.\n * @param {Object} stack Tracks traversed `object` and `other` objects.\n * @returns {boolean} Returns `true` if the objects are equivalent, else `false`.\n */\nfunction equalObjects(object, other, equalFunc, customizer, bitmask, stack) {\n  var isPartial = bitmask & PARTIAL_COMPARE_FLAG,\n      objProps = keys(object),\n      objLength = objProps.length,\n      othProps = keys(other),\n      othLength = othProps.length;\n\n  if (objLength != othLength && !isPartial) {\n    return false;\n  }\n  var index = objLength;\n  while (index--) {\n    var key = objProps[index];\n    if (!(isPartial ? key in other : hasOwnProperty.call(other, key))) {\n      return false;\n    }\n  }\n  // Assume cyclic values are equal.\n  var stacked = stack.get(object);\n  if (stacked && stack.get(other)) {\n    return stacked == other;\n  }\n  var result = true;\n  stack.set(object, other);\n  stack.set(other, object);\n\n  var skipCtor = isPartial;\n  while (++index < objLength) {\n    key = objProps[index];\n    var objValue = object[key],\n        othValue = other[key];\n\n    if (customizer) {\n      var compared = isPartial\n        ? customizer(othValue, objValue, key, other, object, stack)\n        : customizer(objValue, othValue, key, object, other, stack);\n    }\n    // Recursively compare objects (susceptible to call stack limits).\n    if (!(compared === undefined\n          ? (objValue === othValue || equalFunc(objValue, othValue, customizer, bitmask, stack))\n          : compared\n        )) {\n      result = false;\n      break;\n    }\n    skipCtor || (skipCtor = key == 'constructor');\n  }\n  if (result && !skipCtor) {\n    var objCtor = object.constructor,\n        othCtor = other.constructor;\n\n    // Non `Object` object instances with different constructors are not equal.\n    if (objCtor != othCtor &&\n        ('constructor' in object && 'constructor' in other) &&\n        !(typeof objCtor == 'function' && objCtor instanceof objCtor &&\n          typeof othCtor == 'function' && othCtor instanceof othCtor)) {\n      result = false;\n    }\n  }\n  stack['delete'](object);\n  stack['delete'](other);\n  return result;\n}\n\n/**\n * Gets the data for `map`.\n *\n * @private\n * @param {Object} map The map to query.\n * @param {string} key The reference key.\n * @returns {*} Returns the map data.\n */\nfunction getMapData(map, key) {\n  var data = map.__data__;\n  return isKeyable(key)\n    ? data[typeof key == 'string' ? 'string' : 'hash']\n    : data.map;\n}\n\n/**\n * Gets the property names, values, and compare flags of `object`.\n *\n * @private\n * @param {Object} object The object to query.\n * @returns {Array} Returns the match data of `object`.\n */\nfunction getMatchData(object) {\n  var result = keys(object),\n      length = result.length;\n\n  while (length--) {\n    var key = result[length],\n        value = object[key];\n\n    result[length] = [key, value, isStrictComparable(value)];\n  }\n  return result;\n}\n\n/**\n * Gets the native function at `key` of `object`.\n *\n * @private\n * @param {Object} object The object to query.\n * @param {string} key The key of the method to get.\n * @returns {*} Returns the function if it's native, else `undefined`.\n */\nfunction getNative(object, key) {\n  var value = getValue(object, key);\n  return baseIsNative(value) ? value : undefined;\n}\n\n/**\n * Gets the `toStringTag` of `value`.\n *\n * @private\n * @param {*} value The value to query.\n * @returns {string} Returns the `toStringTag`.\n */\nvar getTag = baseGetTag;\n\n// Fallback for data views, maps, sets, and weak maps in IE 11,\n// for data views in Edge < 14, and promises in Node.js.\nif ((DataView && getTag(new DataView(new ArrayBuffer(1))) != dataViewTag) ||\n    (Map && getTag(new Map) != mapTag) ||\n    (Promise && getTag(Promise.resolve()) != promiseTag) ||\n    (Set && getTag(new Set) != setTag) ||\n    (WeakMap && getTag(new WeakMap) != weakMapTag)) {\n  getTag = function(value) {\n    var result = objectToString.call(value),\n        Ctor = result == objectTag ? value.constructor : undefined,\n        ctorString = Ctor ? toSource(Ctor) : undefined;\n\n    if (ctorString) {\n      switch (ctorString) {\n        case dataViewCtorString: return dataViewTag;\n        case mapCtorString: return mapTag;\n        case promiseCtorString: return promiseTag;\n        case setCtorString: return setTag;\n        case weakMapCtorString: return weakMapTag;\n      }\n    }\n    return result;\n  };\n}\n\n/**\n * Checks if `path` exists on `object`.\n *\n * @private\n * @param {Object} object The object to query.\n * @param {Array|string} path The path to check.\n * @param {Function} hasFunc The function to check properties.\n * @returns {boolean} Returns `true` if `path` exists, else `false`.\n */\nfunction hasPath(object, path, hasFunc) {\n  path = isKey(path, object) ? [path] : castPath(path);\n\n  var result,\n      index = -1,\n      length = path.length;\n\n  while (++index < length) {\n    var key = toKey(path[index]);\n    if (!(result = object != null && hasFunc(object, key))) {\n      break;\n    }\n    object = object[key];\n  }\n  if (result) {\n    return result;\n  }\n  var length = object ? object.length : 0;\n  return !!length && isLength(length) && isIndex(key, length) &&\n    (isArray(object) || isArguments(object));\n}\n\n/**\n * Checks if `value` is a valid array-like index.\n *\n * @private\n * @param {*} value The value to check.\n * @param {number} [length=MAX_SAFE_INTEGER] The upper bounds of a valid index.\n * @returns {boolean} Returns `true` if `value` is a valid index, else `false`.\n */\nfunction isIndex(value, length) {\n  length = length == null ? MAX_SAFE_INTEGER : length;\n  return !!length &&\n    (typeof value == 'number' || reIsUint.test(value)) &&\n    (value > -1 && value % 1 == 0 && value < length);\n}\n\n/**\n * Checks if `value` is a property name and not a property path.\n *\n * @private\n * @param {*} value The value to check.\n * @param {Object} [object] The object to query keys on.\n * @returns {boolean} Returns `true` if `value` is a property name, else `false`.\n */\nfunction isKey(value, object) {\n  if (isArray(value)) {\n    return false;\n  }\n  var type = typeof value;\n  if (type == 'number' || type == 'symbol' || type == 'boolean' ||\n      value == null || isSymbol(value)) {\n    return true;\n  }\n  return reIsPlainProp.test(value) || !reIsDeepProp.test(value) ||\n    (object != null && value in Object(object));\n}\n\n/**\n * Checks if `value` is suitable for use as unique object key.\n *\n * @private\n * @param {*} value The value to check.\n * @returns {boolean} Returns `true` if `value` is suitable, else `false`.\n */\nfunction isKeyable(value) {\n  var type = typeof value;\n  return (type == 'string' || type == 'number' || type == 'symbol' || type == 'boolean')\n    ? (value !== '__proto__')\n    : (value === null);\n}\n\n/**\n * Checks if `func` has its source masked.\n *\n * @private\n * @param {Function} func The function to check.\n * @returns {boolean} Returns `true` if `func` is masked, else `false`.\n */\nfunction isMasked(func) {\n  return !!maskSrcKey && (maskSrcKey in func);\n}\n\n/**\n * Checks if `value` is likely a prototype object.\n *\n * @private\n * @param {*} value The value to check.\n * @returns {boolean} Returns `true` if `value` is a prototype, else `false`.\n */\nfunction isPrototype(value) {\n  var Ctor = value && value.constructor,\n      proto = (typeof Ctor == 'function' && Ctor.prototype) || objectProto;\n\n  return value === proto;\n}\n\n/**\n * Checks if `value` is suitable for strict equality comparisons, i.e. `===`.\n *\n * @private\n * @param {*} value The value to check.\n * @returns {boolean} Returns `true` if `value` if suitable for strict\n *  equality comparisons, else `false`.\n */\nfunction isStrictComparable(value) {\n  return value === value && !isObject(value);\n}\n\n/**\n * A specialized version of `matchesProperty` for source values suitable\n * for strict equality comparisons, i.e. `===`.\n *\n * @private\n * @param {string} key The key of the property to get.\n * @param {*} srcValue The value to match.\n * @returns {Function} Returns the new spec function.\n */\nfunction matchesStrictComparable(key, srcValue) {\n  return function(object) {\n    if (object == null) {\n      return false;\n    }\n    return object[key] === srcValue &&\n      (srcValue !== undefined || (key in Object(object)));\n  };\n}\n\n/**\n * Gets the parent value at `path` of `object`.\n *\n * @private\n * @param {Object} object The object to query.\n * @param {Array} path The path to get the parent value of.\n * @returns {*} Returns the parent value.\n */\nfunction parent(object, path) {\n  return path.length == 1 ? object : baseGet(object, baseSlice(path, 0, -1));\n}\n\n/**\n * Converts `string` to a property path array.\n *\n * @private\n * @param {string} string The string to convert.\n * @returns {Array} Returns the property path array.\n */\nvar stringToPath = memoize(function(string) {\n  string = toString(string);\n\n  var result = [];\n  if (reLeadingDot.test(string)) {\n    result.push('');\n  }\n  string.replace(rePropName, function(match, number, quote, string) {\n    result.push(quote ? string.replace(reEscapeChar, '$1') : (number || match));\n  });\n  return result;\n});\n\n/**\n * Converts `value` to a string key if it's not a string or symbol.\n *\n * @private\n * @param {*} value The value to inspect.\n * @returns {string|symbol} Returns the key.\n */\nfunction toKey(value) {\n  if (typeof value == 'string' || isSymbol(value)) {\n    return value;\n  }\n  var result = (value + '');\n  return (result == '0' && (1 / value) == -INFINITY) ? '-0' : result;\n}\n\n/**\n * Converts `func` to its source code.\n *\n * @private\n * @param {Function} func The function to process.\n * @returns {string} Returns the source code.\n */\nfunction toSource(func) {\n  if (func != null) {\n    try {\n      return funcToString.call(func);\n    } catch (e) {}\n    try {\n      return (func + '');\n    } catch (e) {}\n  }\n  return '';\n}\n\n/**\n * Gets the last element of `array`.\n *\n * @static\n * @memberOf _\n * @since 0.1.0\n * @category Array\n * @param {Array} array The array to query.\n * @returns {*} Returns the last element of `array`.\n * @example\n *\n * _.last([1, 2, 3]);\n * // => 3\n */\nfunction last(array) {\n  var length = array ? array.length : 0;\n  return length ? array[length - 1] : undefined;\n}\n\n/**\n * Removes all elements from `array` that `predicate` returns truthy for\n * and returns an array of the removed elements. The predicate is invoked\n * with three arguments: (value, index, array).\n *\n * **Note:** Unlike `_.filter`, this method mutates `array`. Use `_.pull`\n * to pull elements from an array by value.\n *\n * @static\n * @memberOf _\n * @since 2.0.0\n * @category Array\n * @param {Array} array The array to modify.\n * @param {Function} [predicate=_.identity]\n *  The function invoked per iteration.\n * @returns {Array} Returns the new array of removed elements.\n * @example\n *\n * var array = [1, 2, 3, 4];\n * var evens = _.remove(array, function(n) {\n *   return n % 2 == 0;\n * });\n *\n * console.log(array);\n * // => [1, 3]\n *\n * console.log(evens);\n * // => [2, 4]\n */\nfunction remove(array, predicate) {\n  var result = [];\n  if (!(array && array.length)) {\n    return result;\n  }\n  var index = -1,\n      indexes = [],\n      length = array.length;\n\n  predicate = baseIteratee(predicate, 3);\n  while (++index < length) {\n    var value = array[index];\n    if (predicate(value, index, array)) {\n      result.push(value);\n      indexes.push(index);\n    }\n  }\n  basePullAt(array, indexes);\n  return result;\n}\n\n/**\n * Creates a function that memoizes the result of `func`. If `resolver` is\n * provided, it determines the cache key for storing the result based on the\n * arguments provided to the memoized function. By default, the first argument\n * provided to the memoized function is used as the map cache key. The `func`\n * is invoked with the `this` binding of the memoized function.\n *\n * **Note:** The cache is exposed as the `cache` property on the memoized\n * function. Its creation may be customized by replacing the `_.memoize.Cache`\n * constructor with one whose instances implement the\n * [`Map`](http://ecma-international.org/ecma-262/7.0/#sec-properties-of-the-map-prototype-object)\n * method interface of `delete`, `get`, `has`, and `set`.\n *\n * @static\n * @memberOf _\n * @since 0.1.0\n * @category Function\n * @param {Function} func The function to have its output memoized.\n * @param {Function} [resolver] The function to resolve the cache key.\n * @returns {Function} Returns the new memoized function.\n * @example\n *\n * var object = { 'a': 1, 'b': 2 };\n * var other = { 'c': 3, 'd': 4 };\n *\n * var values = _.memoize(_.values);\n * values(object);\n * // => [1, 2]\n *\n * values(other);\n * // => [3, 4]\n *\n * object.a = 2;\n * values(object);\n * // => [1, 2]\n *\n * // Modify the result cache.\n * values.cache.set(object, ['a', 'b']);\n * values(object);\n * // => ['a', 'b']\n *\n * // Replace `_.memoize.Cache`.\n * _.memoize.Cache = WeakMap;\n */\nfunction memoize(func, resolver) {\n  if (typeof func != 'function' || (resolver && typeof resolver != 'function')) {\n    throw new TypeError(FUNC_ERROR_TEXT);\n  }\n  var memoized = function() {\n    var args = arguments,\n        key = resolver ? resolver.apply(this, args) : args[0],\n        cache = memoized.cache;\n\n    if (cache.has(key)) {\n      return cache.get(key);\n    }\n    var result = func.apply(this, args);\n    memoized.cache = cache.set(key, result);\n    return result;\n  };\n  memoized.cache = new (memoize.Cache || MapCache);\n  return memoized;\n}\n\n// Assign cache to `_.memoize`.\nmemoize.Cache = MapCache;\n\n/**\n * Performs a\n * [`SameValueZero`](http://ecma-international.org/ecma-262/7.0/#sec-samevaluezero)\n * comparison between two values to determine if they are equivalent.\n *\n * @static\n * @memberOf _\n * @since 4.0.0\n * @category Lang\n * @param {*} value The value to compare.\n * @param {*} other The other value to compare.\n * @returns {boolean} Returns `true` if the values are equivalent, else `false`.\n * @example\n *\n * var object = { 'a': 1 };\n * var other = { 'a': 1 };\n *\n * _.eq(object, object);\n * // => true\n *\n * _.eq(object, other);\n * // => false\n *\n * _.eq('a', 'a');\n * // => true\n *\n * _.eq('a', Object('a'));\n * // => false\n *\n * _.eq(NaN, NaN);\n * // => true\n */\nfunction eq(value, other) {\n  return value === other || (value !== value && other !== other);\n}\n\n/**\n * Checks if `value` is likely an `arguments` object.\n *\n * @static\n * @memberOf _\n * @since 0.1.0\n * @category Lang\n * @param {*} value The value to check.\n * @returns {boolean} Returns `true` if `value` is an `arguments` object,\n *  else `false`.\n * @example\n *\n * _.isArguments(function() { return arguments; }());\n * // => true\n *\n * _.isArguments([1, 2, 3]);\n * // => false\n */\nfunction isArguments(value) {\n  // Safari 8.1 makes `arguments.callee` enumerable in strict mode.\n  return isArrayLikeObject(value) && hasOwnProperty.call(value, 'callee') &&\n    (!propertyIsEnumerable.call(value, 'callee') || objectToString.call(value) == argsTag);\n}\n\n/**\n * Checks if `value` is classified as an `Array` object.\n *\n * @static\n * @memberOf _\n * @since 0.1.0\n * @category Lang\n * @param {*} value The value to check.\n * @returns {boolean} Returns `true` if `value` is an array, else `false`.\n * @example\n *\n * _.isArray([1, 2, 3]);\n * // => true\n *\n * _.isArray(document.body.children);\n * // => false\n *\n * _.isArray('abc');\n * // => false\n *\n * _.isArray(_.noop);\n * // => false\n */\nvar isArray = Array.isArray;\n\n/**\n * Checks if `value` is array-like. A value is considered array-like if it's\n * not a function and has a `value.length` that's an integer greater than or\n * equal to `0` and less than or equal to `Number.MAX_SAFE_INTEGER`.\n *\n * @static\n * @memberOf _\n * @since 4.0.0\n * @category Lang\n * @param {*} value The value to check.\n * @returns {boolean} Returns `true` if `value` is array-like, else `false`.\n * @example\n *\n * _.isArrayLike([1, 2, 3]);\n * // => true\n *\n * _.isArrayLike(document.body.children);\n * // => true\n *\n * _.isArrayLike('abc');\n * // => true\n *\n * _.isArrayLike(_.noop);\n * // => false\n */\nfunction isArrayLike(value) {\n  return value != null && isLength(value.length) && !isFunction(value);\n}\n\n/**\n * This method is like `_.isArrayLike` except that it also checks if `value`\n * is an object.\n *\n * @static\n * @memberOf _\n * @since 4.0.0\n * @category Lang\n * @param {*} value The value to check.\n * @returns {boolean} Returns `true` if `value` is an array-like object,\n *  else `false`.\n * @example\n *\n * _.isArrayLikeObject([1, 2, 3]);\n * // => true\n *\n * _.isArrayLikeObject(document.body.children);\n * // => true\n *\n * _.isArrayLikeObject('abc');\n * // => false\n *\n * _.isArrayLikeObject(_.noop);\n * // => false\n */\nfunction isArrayLikeObject(value) {\n  return isObjectLike(value) && isArrayLike(value);\n}\n\n/**\n * Checks if `value` is classified as a `Function` object.\n *\n * @static\n * @memberOf _\n * @since 0.1.0\n * @category Lang\n * @param {*} value The value to check.\n * @returns {boolean} Returns `true` if `value` is a function, else `false`.\n * @example\n *\n * _.isFunction(_);\n * // => true\n *\n * _.isFunction(/abc/);\n * // => false\n */\nfunction isFunction(value) {\n  // The use of `Object#toString` avoids issues with the `typeof` operator\n  // in Safari 8-9 which returns 'object' for typed array and other constructors.\n  var tag = isObject(value) ? objectToString.call(value) : '';\n  return tag == funcTag || tag == genTag;\n}\n\n/**\n * Checks if `value` is a valid array-like length.\n *\n * **Note:** This method is loosely based on\n * [`ToLength`](http://ecma-international.org/ecma-262/7.0/#sec-tolength).\n *\n * @static\n * @memberOf _\n * @since 4.0.0\n * @category Lang\n * @param {*} value The value to check.\n * @returns {boolean} Returns `true` if `value` is a valid length, else `false`.\n * @example\n *\n * _.isLength(3);\n * // => true\n *\n * _.isLength(Number.MIN_VALUE);\n * // => false\n *\n * _.isLength(Infinity);\n * // => false\n *\n * _.isLength('3');\n * // => false\n */\nfunction isLength(value) {\n  return typeof value == 'number' &&\n    value > -1 && value % 1 == 0 && value <= MAX_SAFE_INTEGER;\n}\n\n/**\n * Checks if `value` is the\n * [language type](http://www.ecma-international.org/ecma-262/7.0/#sec-ecmascript-language-types)\n * of `Object`. (e.g. arrays, functions, objects, regexes, `new Number(0)`, and `new String('')`)\n *\n * @static\n * @memberOf _\n * @since 0.1.0\n * @category Lang\n * @param {*} value The value to check.\n * @returns {boolean} Returns `true` if `value` is an object, else `false`.\n * @example\n *\n * _.isObject({});\n * // => true\n *\n * _.isObject([1, 2, 3]);\n * // => true\n *\n * _.isObject(_.noop);\n * // => true\n *\n * _.isObject(null);\n * // => false\n */\nfunction isObject(value) {\n  var type = typeof value;\n  return !!value && (type == 'object' || type == 'function');\n}\n\n/**\n * Checks if `value` is object-like. A value is object-like if it's not `null`\n * and has a `typeof` result of \"object\".\n *\n * @static\n * @memberOf _\n * @since 4.0.0\n * @category Lang\n * @param {*} value The value to check.\n * @returns {boolean} Returns `true` if `value` is object-like, else `false`.\n * @example\n *\n * _.isObjectLike({});\n * // => true\n *\n * _.isObjectLike([1, 2, 3]);\n * // => true\n *\n * _.isObjectLike(_.noop);\n * // => false\n *\n * _.isObjectLike(null);\n * // => false\n */\nfunction isObjectLike(value) {\n  return !!value && typeof value == 'object';\n}\n\n/**\n * Checks if `value` is classified as a `Symbol` primitive or object.\n *\n * @static\n * @memberOf _\n * @since 4.0.0\n * @category Lang\n * @param {*} value The value to check.\n * @returns {boolean} Returns `true` if `value` is a symbol, else `false`.\n * @example\n *\n * _.isSymbol(Symbol.iterator);\n * // => true\n *\n * _.isSymbol('abc');\n * // => false\n */\nfunction isSymbol(value) {\n  return typeof value == 'symbol' ||\n    (isObjectLike(value) && objectToString.call(value) == symbolTag);\n}\n\n/**\n * Checks if `value` is classified as a typed array.\n *\n * @static\n * @memberOf _\n * @since 3.0.0\n * @category Lang\n * @param {*} value The value to check.\n * @returns {boolean} Returns `true` if `value` is a typed array, else `false`.\n * @example\n *\n * _.isTypedArray(new Uint8Array);\n * // => true\n *\n * _.isTypedArray([]);\n * // => false\n */\nvar isTypedArray = nodeIsTypedArray ? baseUnary(nodeIsTypedArray) : baseIsTypedArray;\n\n/**\n * Converts `value` to a string. An empty string is returned for `null`\n * and `undefined` values. The sign of `-0` is preserved.\n *\n * @static\n * @memberOf _\n * @since 4.0.0\n * @category Lang\n * @param {*} value The value to process.\n * @returns {string} Returns the string.\n * @example\n *\n * _.toString(null);\n * // => ''\n *\n * _.toString(-0);\n * // => '-0'\n *\n * _.toString([1, 2, 3]);\n * // => '1,2,3'\n */\nfunction toString(value) {\n  return value == null ? '' : baseToString(value);\n}\n\n/**\n * Gets the value at `path` of `object`. If the resolved value is\n * `undefined`, the `defaultValue` is returned in its place.\n *\n * @static\n * @memberOf _\n * @since 3.7.0\n * @category Object\n * @param {Object} object The object to query.\n * @param {Array|string} path The path of the property to get.\n * @param {*} [defaultValue] The value returned for `undefined` resolved values.\n * @returns {*} Returns the resolved value.\n * @example\n *\n * var object = { 'a': [{ 'b': { 'c': 3 } }] };\n *\n * _.get(object, 'a[0].b.c');\n * // => 3\n *\n * _.get(object, ['a', '0', 'b', 'c']);\n * // => 3\n *\n * _.get(object, 'a.b.c', 'default');\n * // => 'default'\n */\nfunction get(object, path, defaultValue) {\n  var result = object == null ? undefined : baseGet(object, path);\n  return result === undefined ? defaultValue : result;\n}\n\n/**\n * Checks if `path` is a direct or inherited property of `object`.\n *\n * @static\n * @memberOf _\n * @since 4.0.0\n * @category Object\n * @param {Object} object The object to query.\n * @param {Array|string} path The path to check.\n * @returns {boolean} Returns `true` if `path` exists, else `false`.\n * @example\n *\n * var object = _.create({ 'a': _.create({ 'b': 2 }) });\n *\n * _.hasIn(object, 'a');\n * // => true\n *\n * _.hasIn(object, 'a.b');\n * // => true\n *\n * _.hasIn(object, ['a', 'b']);\n * // => true\n *\n * _.hasIn(object, 'b');\n * // => false\n */\nfunction hasIn(object, path) {\n  return object != null && hasPath(object, path, baseHasIn);\n}\n\n/**\n * Creates an array of the own enumerable property names of `object`.\n *\n * **Note:** Non-object values are coerced to objects. See the\n * [ES spec](http://ecma-international.org/ecma-262/7.0/#sec-object.keys)\n * for more details.\n *\n * @static\n * @since 0.1.0\n * @memberOf _\n * @category Object\n * @param {Object} object The object to query.\n * @returns {Array} Returns the array of property names.\n * @example\n *\n * function Foo() {\n *   this.a = 1;\n *   this.b = 2;\n * }\n *\n * Foo.prototype.c = 3;\n *\n * _.keys(new Foo);\n * // => ['a', 'b'] (iteration order is not guaranteed)\n *\n * _.keys('hi');\n * // => ['0', '1']\n */\nfunction keys(object) {\n  return isArrayLike(object) ? arrayLikeKeys(object) : baseKeys(object);\n}\n\n/**\n * This method returns the first argument it receives.\n *\n * @static\n * @since 0.1.0\n * @memberOf _\n * @category Util\n * @param {*} value Any value.\n * @returns {*} Returns `value`.\n * @example\n *\n * var object = { 'a': 1 };\n *\n * console.log(_.identity(object) === object);\n * // => true\n */\nfunction identity(value) {\n  return value;\n}\n\n/**\n * Creates a function that returns the value at `path` of a given object.\n *\n * @static\n * @memberOf _\n * @since 2.4.0\n * @category Util\n * @param {Array|string} path The path of the property to get.\n * @returns {Function} Returns the new accessor function.\n * @example\n *\n * var objects = [\n *   { 'a': { 'b': 2 } },\n *   { 'a': { 'b': 1 } }\n * ];\n *\n * _.map(objects, _.property('a.b'));\n * // => [2, 1]\n *\n * _.map(_.sortBy(objects, _.property(['a', 'b'])), 'a.b');\n * // => [1, 2]\n */\nfunction property(path) {\n  return isKey(path) ? baseProperty(toKey(path)) : basePropertyDeep(path);\n}\n\nmodule.exports = remove;\n","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../../node_modules/css-loader/dist/cjs.js??ref--7-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--7-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--7-oneOf-1-3!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PinturaSidebar.vue?vue&type=style&index=2&id=073aee35&prod&lang=css\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"8f609372\", content, shadowRoot)\n};","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./SmallDetailsOneLogo.vue?vue&type=style&index=0&id=e4d436f2&prod&scoped=true&lang=scss\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"15d814ea\", content, shadowRoot)\n};","'use strict';\n\nvar uri = require('url');\n\nvar ValidationError = exports.ValidationError = function ValidationError (message, instance, schema, path, name, argument) {\n  if(Array.isArray(path)){\n    this.path = path;\n    this.property = path.reduce(function(sum, item){\n      return sum + makeSuffix(item);\n    }, 'instance');\n  }else if(path !== undefined){\n    this.property = path;\n  }\n  if (message) {\n    this.message = message;\n  }\n  if (schema) {\n    var id = schema.$id || schema.id;\n    this.schema = id || schema;\n  }\n  if (instance !== undefined) {\n    this.instance = instance;\n  }\n  this.name = name;\n  this.argument = argument;\n  this.stack = this.toString();\n};\n\nValidationError.prototype.toString = function toString() {\n  return this.property + ' ' + this.message;\n};\n\nvar ValidatorResult = exports.ValidatorResult = function ValidatorResult(instance, schema, options, ctx) {\n  this.instance = instance;\n  this.schema = schema;\n  this.options = options;\n  this.path = ctx.path;\n  this.propertyPath = ctx.propertyPath;\n  this.errors = [];\n  this.throwError = options && options.throwError;\n  this.throwFirst = options && options.throwFirst;\n  this.throwAll = options && options.throwAll;\n  this.disableFormat = options && options.disableFormat === true;\n};\n\nValidatorResult.prototype.addError = function addError(detail) {\n  var err;\n  if (typeof detail == 'string') {\n    err = new ValidationError(detail, this.instance, this.schema, this.path);\n  } else {\n    if (!detail) throw new Error('Missing error detail');\n    if (!detail.message) throw new Error('Missing error message');\n    if (!detail.name) throw new Error('Missing validator type');\n    err = new ValidationError(detail.message, this.instance, this.schema, this.path, detail.name, detail.argument);\n  }\n\n  this.errors.push(err);\n  if (this.throwFirst) {\n    throw new ValidatorResultError(this);\n  }else if(this.throwError){\n    throw err;\n  }\n  return err;\n};\n\nValidatorResult.prototype.importErrors = function importErrors(res) {\n  if (typeof res == 'string' || (res && res.validatorType)) {\n    this.addError(res);\n  } else if (res && res.errors) {\n    this.errors = this.errors.concat(res.errors);\n  }\n};\n\nfunction stringizer (v,i){\n  return i+': '+v.toString()+'\\n';\n}\nValidatorResult.prototype.toString = function toString(res) {\n  return this.errors.map(stringizer).join('');\n};\n\nObject.defineProperty(ValidatorResult.prototype, \"valid\", { get: function() {\n  return !this.errors.length;\n} });\n\nmodule.exports.ValidatorResultError = ValidatorResultError;\nfunction ValidatorResultError(result) {\n  if(Error.captureStackTrace){\n    Error.captureStackTrace(this, ValidatorResultError);\n  }\n  this.instance = result.instance;\n  this.schema = result.schema;\n  this.options = result.options;\n  this.errors = result.errors;\n}\nValidatorResultError.prototype = new Error();\nValidatorResultError.prototype.constructor = ValidatorResultError;\nValidatorResultError.prototype.name = \"Validation Error\";\n\n/**\n * Describes a problem with a Schema which prevents validation of an instance\n * @name SchemaError\n * @constructor\n */\nvar SchemaError = exports.SchemaError = function SchemaError (msg, schema) {\n  this.message = msg;\n  this.schema = schema;\n  Error.call(this, msg);\n  Error.captureStackTrace(this, SchemaError);\n};\nSchemaError.prototype = Object.create(Error.prototype,\n  {\n    constructor: {value: SchemaError, enumerable: false},\n    name: {value: 'SchemaError', enumerable: false},\n  });\n\nvar SchemaContext = exports.SchemaContext = function SchemaContext (schema, options, path, base, schemas) {\n  this.schema = schema;\n  this.options = options;\n  if(Array.isArray(path)){\n    this.path = path;\n    this.propertyPath = path.reduce(function(sum, item){\n      return sum + makeSuffix(item);\n    }, 'instance');\n  }else{\n    this.propertyPath = path;\n  }\n  this.base = base;\n  this.schemas = schemas;\n};\n\nSchemaContext.prototype.resolve = function resolve (target) {\n  return uri.resolve(this.base, target);\n};\n\nSchemaContext.prototype.makeChild = function makeChild(schema, propertyName){\n  var path = (propertyName===undefined) ? this.path : this.path.concat([propertyName]);\n  var id = schema.$id || schema.id;\n  var base = uri.resolve(this.base, id||'');\n  var ctx = new SchemaContext(schema, this.options, path, base, Object.create(this.schemas));\n  if(id && !ctx.schemas[base]){\n    ctx.schemas[base] = schema;\n  }\n  return ctx;\n};\n\nvar FORMAT_REGEXPS = exports.FORMAT_REGEXPS = {\n  // 7.3.1. Dates, Times, and Duration\n  'date-time': /^\\d{4}-(?:0[0-9]{1}|1[0-2]{1})-(3[01]|0[1-9]|[12][0-9])[tT ](2[0-4]|[01][0-9]):([0-5][0-9]):(60|[0-5][0-9])(\\.\\d+)?([zZ]|[+-]([0-5][0-9]):(60|[0-5][0-9]))$/,\n  'date': /^\\d{4}-(?:0[0-9]{1}|1[0-2]{1})-(3[01]|0[1-9]|[12][0-9])$/,\n  'time': /^(2[0-4]|[01][0-9]):([0-5][0-9]):(60|[0-5][0-9])$/,\n  'duration': /P(T\\d+(H(\\d+M(\\d+S)?)?|M(\\d+S)?|S)|\\d+(D|M(\\d+D)?|Y(\\d+M(\\d+D)?)?)(T\\d+(H(\\d+M(\\d+S)?)?|M(\\d+S)?|S))?|\\d+W)/i,\n\n  // 7.3.2. Email Addresses\n  // TODO: fix the email production\n  'email': /^(?:[\\w\\!\\#\\$\\%\\&\\'\\*\\+\\-\\/\\=\\?\\^\\`\\{\\|\\}\\~]+\\.)*[\\w\\!\\#\\$\\%\\&\\'\\*\\+\\-\\/\\=\\?\\^\\`\\{\\|\\}\\~]+@(?:(?:(?:[a-zA-Z0-9](?:[a-zA-Z0-9\\-](?!\\.)){0,61}[a-zA-Z0-9]?\\.)+[a-zA-Z0-9](?:[a-zA-Z0-9\\-](?!$)){0,61}[a-zA-Z0-9]?)|(?:\\[(?:(?:[01]?\\d{1,2}|2[0-4]\\d|25[0-5])\\.){3}(?:[01]?\\d{1,2}|2[0-4]\\d|25[0-5])\\]))$/,\n  'idn-email': /^(\"(?:[!#-\\[\\]-\\u{10FFFF}]|\\\\[\\t -\\u{10FFFF}])*\"|[!#-'*+\\-/-9=?A-Z\\^-\\u{10FFFF}](?:\\.?[!#-'*+\\-/-9=?A-Z\\^-\\u{10FFFF}])*)@([!#-'*+\\-/-9=?A-Z\\^-\\u{10FFFF}](?:\\.?[!#-'*+\\-/-9=?A-Z\\^-\\u{10FFFF}])*|\\[[!-Z\\^-\\u{10FFFF}]*\\])$/u,\n\n  // 7.3.3. Hostnames\n\n  // 7.3.4. IP Addresses\n  'ip-address': /^(?:(?:25[0-5]|2[0-4][0-9]|[01]?[0-9][0-9]?)\\.){3}(?:25[0-5]|2[0-4][0-9]|[01]?[0-9][0-9]?)$/,\n  // FIXME whitespace is invalid\n  'ipv6': /^\\s*((([0-9A-Fa-f]{1,4}:){7}([0-9A-Fa-f]{1,4}|:))|(([0-9A-Fa-f]{1,4}:){6}(:[0-9A-Fa-f]{1,4}|((25[0-5]|2[0-4]\\d|1\\d\\d|[1-9]?\\d)(\\.(25[0-5]|2[0-4]\\d|1\\d\\d|[1-9]?\\d)){3})|:))|(([0-9A-Fa-f]{1,4}:){5}(((:[0-9A-Fa-f]{1,4}){1,2})|:((25[0-5]|2[0-4]\\d|1\\d\\d|[1-9]?\\d)(\\.(25[0-5]|2[0-4]\\d|1\\d\\d|[1-9]?\\d)){3})|:))|(([0-9A-Fa-f]{1,4}:){4}(((:[0-9A-Fa-f]{1,4}){1,3})|((:[0-9A-Fa-f]{1,4})?:((25[0-5]|2[0-4]\\d|1\\d\\d|[1-9]?\\d)(\\.(25[0-5]|2[0-4]\\d|1\\d\\d|[1-9]?\\d)){3}))|:))|(([0-9A-Fa-f]{1,4}:){3}(((:[0-9A-Fa-f]{1,4}){1,4})|((:[0-9A-Fa-f]{1,4}){0,2}:((25[0-5]|2[0-4]\\d|1\\d\\d|[1-9]?\\d)(\\.(25[0-5]|2[0-4]\\d|1\\d\\d|[1-9]?\\d)){3}))|:))|(([0-9A-Fa-f]{1,4}:){2}(((:[0-9A-Fa-f]{1,4}){1,5})|((:[0-9A-Fa-f]{1,4}){0,3}:((25[0-5]|2[0-4]\\d|1\\d\\d|[1-9]?\\d)(\\.(25[0-5]|2[0-4]\\d|1\\d\\d|[1-9]?\\d)){3}))|:))|(([0-9A-Fa-f]{1,4}:){1}(((:[0-9A-Fa-f]{1,4}){1,6})|((:[0-9A-Fa-f]{1,4}){0,4}:((25[0-5]|2[0-4]\\d|1\\d\\d|[1-9]?\\d)(\\.(25[0-5]|2[0-4]\\d|1\\d\\d|[1-9]?\\d)){3}))|:))|(:(((:[0-9A-Fa-f]{1,4}){1,7})|((:[0-9A-Fa-f]{1,4}){0,5}:((25[0-5]|2[0-4]\\d|1\\d\\d|[1-9]?\\d)(\\.(25[0-5]|2[0-4]\\d|1\\d\\d|[1-9]?\\d)){3}))|:)))(%.+)?\\s*$/,\n\n  // 7.3.5. Resource Identifiers\n  // TODO: A more accurate regular expression for \"uri\" goes:\n  // [A-Za-z][+\\-.0-9A-Za-z]*:((/(/((%[0-9A-Fa-f]{2}|[!$&-.0-9;=A-Z_a-z~])+|(\\[(([Vv][0-9A-Fa-f]+\\.[!$&-.0-;=A-Z_a-z~]+)?|[.0-:A-Fa-f]+)\\])?)(:\\d*)?)?)?#(%[0-9A-Fa-f]{2}|[!$&-;=?-Z_a-z~])*|(/(/((%[0-9A-Fa-f]{2}|[!$&-.0-9;=A-Z_a-z~])+|(\\[(([Vv][0-9A-Fa-f]+\\.[!$&-.0-;=A-Z_a-z~]+)?|[.0-:A-Fa-f]+)\\])?)(:\\d*)?[/?]|[!$&-.0-;=?-Z_a-z~])|/?%[0-9A-Fa-f]{2}|[!$&-.0-;=?-Z_a-z~])(%[0-9A-Fa-f]{2}|[!$&-;=?-Z_a-z~])*(#(%[0-9A-Fa-f]{2}|[!$&-;=?-Z_a-z~])*)?|/(/((%[0-9A-Fa-f]{2}|[!$&-.0-9;=A-Z_a-z~])+(:\\d*)?|(\\[(([Vv][0-9A-Fa-f]+\\.[!$&-.0-;=A-Z_a-z~]+)?|[.0-:A-Fa-f]+)\\])?:\\d*|\\[(([Vv][0-9A-Fa-f]+\\.[!$&-.0-;=A-Z_a-z~]+)?|[.0-:A-Fa-f]+)\\])?)?)?\n  'uri': /^[a-zA-Z][a-zA-Z0-9+.-]*:[^\\s]*$/,\n  'uri-reference': /^(((([A-Za-z][+\\-.0-9A-Za-z]*(:%[0-9A-Fa-f]{2}|:[!$&-.0-;=?-Z_a-z~]|[/?])|\\?)(%[0-9A-Fa-f]{2}|[!$&-;=?-Z_a-z~])*|([A-Za-z][+\\-.0-9A-Za-z]*:?)?)|([A-Za-z][+\\-.0-9A-Za-z]*:)?\\/((%[0-9A-Fa-f]{2}|\\/((%[0-9A-Fa-f]{2}|[!$&-.0-9;=A-Z_a-z~])+|(\\[(([Vv][0-9A-Fa-f]+\\.[!$&-.0-;=A-Z_a-z~]+)?|[.0-:A-Fa-f]+)\\])?)(:\\d*)?[/?]|[!$&-.0-;=?-Z_a-z~])(%[0-9A-Fa-f]{2}|[!$&-;=?-Z_a-z~])*|(\\/((%[0-9A-Fa-f]{2}|[!$&-.0-9;=A-Z_a-z~])+|(\\[(([Vv][0-9A-Fa-f]+\\.[!$&-.0-;=A-Z_a-z~]+)?|[.0-:A-Fa-f]+)\\])?)(:\\d*)?)?))#(%[0-9A-Fa-f]{2}|[!$&-;=?-Z_a-z~])*|(([A-Za-z][+\\-.0-9A-Za-z]*)?%[0-9A-Fa-f]{2}|[!$&-.0-9;=@_~]|[A-Za-z][+\\-.0-9A-Za-z]*[!$&-*,;=@_~])(%[0-9A-Fa-f]{2}|[!$&-.0-9;=@-Z_a-z~])*((([/?](%[0-9A-Fa-f]{2}|[!$&-;=?-Z_a-z~])*)?#|[/?])(%[0-9A-Fa-f]{2}|[!$&-;=?-Z_a-z~])*)?|([A-Za-z][+\\-.0-9A-Za-z]*(:%[0-9A-Fa-f]{2}|:[!$&-.0-;=?-Z_a-z~]|[/?])|\\?)(%[0-9A-Fa-f]{2}|[!$&-;=?-Z_a-z~])*|([A-Za-z][+\\-.0-9A-Za-z]*:)?\\/((%[0-9A-Fa-f]{2}|\\/((%[0-9A-Fa-f]{2}|[!$&-.0-9;=A-Z_a-z~])+|(\\[(([Vv][0-9A-Fa-f]+\\.[!$&-.0-;=A-Z_a-z~]+)?|[.0-:A-Fa-f]+)\\])?)(:\\d*)?[/?]|[!$&-.0-;=?-Z_a-z~])(%[0-9A-Fa-f]{2}|[!$&-;=?-Z_a-z~])*|\\/((%[0-9A-Fa-f]{2}|[!$&-.0-9;=A-Z_a-z~])+(:\\d*)?|(\\[(([Vv][0-9A-Fa-f]+\\.[!$&-.0-;=A-Z_a-z~]+)?|[.0-:A-Fa-f]+)\\])?:\\d*|\\[(([Vv][0-9A-Fa-f]+\\.[!$&-.0-;=A-Z_a-z~]+)?|[.0-:A-Fa-f]+)\\])?)?|[A-Za-z][+\\-.0-9A-Za-z]*:?)?$/,\n  'iri': /^[a-zA-Z][a-zA-Z0-9+.-]*:[^\\s]*$/,\n  'iri-reference': /^(((([A-Za-z][+\\-.0-9A-Za-z]*(:%[0-9A-Fa-f]{2}|:[!$&-.0-;=?-Z_a-z~-\\u{10FFFF}]|[/?])|\\?)(%[0-9A-Fa-f]{2}|[!$&-;=?-Z_a-z~-\\u{10FFFF}])*|([A-Za-z][+\\-.0-9A-Za-z]*:?)?)|([A-Za-z][+\\-.0-9A-Za-z]*:)?\\/((%[0-9A-Fa-f]{2}|\\/((%[0-9A-Fa-f]{2}|[!$&-.0-9;=A-Z_a-z~-\\u{10FFFF}])+|(\\[(([Vv][0-9A-Fa-f]+\\.[!$&-.0-;=A-Z_a-z~-\\u{10FFFF}]+)?|[.0-:A-Fa-f]+)\\])?)(:\\d*)?[/?]|[!$&-.0-;=?-Z_a-z~-\\u{10FFFF}])(%[0-9A-Fa-f]{2}|[!$&-;=?-Z_a-z~-\\u{10FFFF}])*|(\\/((%[0-9A-Fa-f]{2}|[!$&-.0-9;=A-Z_a-z~-\\u{10FFFF}])+|(\\[(([Vv][0-9A-Fa-f]+\\.[!$&-.0-;=A-Z_a-z~-\\u{10FFFF}]+)?|[.0-:A-Fa-f]+)\\])?)(:\\d*)?)?))#(%[0-9A-Fa-f]{2}|[!$&-;=?-Z_a-z~-\\u{10FFFF}])*|(([A-Za-z][+\\-.0-9A-Za-z]*)?%[0-9A-Fa-f]{2}|[!$&-.0-9;=@_~-\\u{10FFFF}]|[A-Za-z][+\\-.0-9A-Za-z]*[!$&-*,;=@_~-\\u{10FFFF}])(%[0-9A-Fa-f]{2}|[!$&-.0-9;=@-Z_a-z~-\\u{10FFFF}])*((([/?](%[0-9A-Fa-f]{2}|[!$&-;=?-Z_a-z~-\\u{10FFFF}])*)?#|[/?])(%[0-9A-Fa-f]{2}|[!$&-;=?-Z_a-z~-\\u{10FFFF}])*)?|([A-Za-z][+\\-.0-9A-Za-z]*(:%[0-9A-Fa-f]{2}|:[!$&-.0-;=?-Z_a-z~-\\u{10FFFF}]|[/?])|\\?)(%[0-9A-Fa-f]{2}|[!$&-;=?-Z_a-z~-\\u{10FFFF}])*|([A-Za-z][+\\-.0-9A-Za-z]*:)?\\/((%[0-9A-Fa-f]{2}|\\/((%[0-9A-Fa-f]{2}|[!$&-.0-9;=A-Z_a-z~-\\u{10FFFF}])+|(\\[(([Vv][0-9A-Fa-f]+\\.[!$&-.0-;=A-Z_a-z~-\\u{10FFFF}]+)?|[.0-:A-Fa-f]+)\\])?)(:\\d*)?[/?]|[!$&-.0-;=?-Z_a-z~-\\u{10FFFF}])(%[0-9A-Fa-f]{2}|[!$&-;=?-Z_a-z~-\\u{10FFFF}])*|\\/((%[0-9A-Fa-f]{2}|[!$&-.0-9;=A-Z_a-z~-\\u{10FFFF}])+(:\\d*)?|(\\[(([Vv][0-9A-Fa-f]+\\.[!$&-.0-;=A-Z_a-z~-\\u{10FFFF}]+)?|[.0-:A-Fa-f]+)\\])?:\\d*|\\[(([Vv][0-9A-Fa-f]+\\.[!$&-.0-;=A-Z_a-z~-\\u{10FFFF}]+)?|[.0-:A-Fa-f]+)\\])?)?|[A-Za-z][+\\-.0-9A-Za-z]*:?)?$/u,\n  'uuid': /^[0-9A-F]{8}-[0-9A-F]{4}-[0-9A-F]{4}-[0-9A-F]{4}-[0-9A-F]{12}$/i,\n\n  // 7.3.6. uri-template\n  'uri-template': /(%[0-9a-f]{2}|[!#$&(-;=?@\\[\\]_a-z~]|\\{[!#&+,./;=?@|]?(%[0-9a-f]{2}|[0-9_a-z])(\\.?(%[0-9a-f]{2}|[0-9_a-z]))*(:[1-9]\\d{0,3}|\\*)?(,(%[0-9a-f]{2}|[0-9_a-z])(\\.?(%[0-9a-f]{2}|[0-9_a-z]))*(:[1-9]\\d{0,3}|\\*)?)*\\})*/iu,\n\n  // 7.3.7. JSON Pointers\n  'json-pointer': /^(\\/([\\x00-\\x2e0-@\\[-}\\x7f]|~[01])*)*$/iu,\n  'relative-json-pointer': /^\\d+(#|(\\/([\\x00-\\x2e0-@\\[-}\\x7f]|~[01])*)*)$/iu,\n\n  // hostname regex from: http://stackoverflow.com/a/1420225/5628\n  'hostname': /^(?=.{1,255}$)[0-9A-Za-z](?:(?:[0-9A-Za-z]|-){0,61}[0-9A-Za-z])?(?:\\.[0-9A-Za-z](?:(?:[0-9A-Za-z]|-){0,61}[0-9A-Za-z])?)*\\.?$/,\n  'host-name': /^(?=.{1,255}$)[0-9A-Za-z](?:(?:[0-9A-Za-z]|-){0,61}[0-9A-Za-z])?(?:\\.[0-9A-Za-z](?:(?:[0-9A-Za-z]|-){0,61}[0-9A-Za-z])?)*\\.?$/,\n\n  'utc-millisec': function (input) {\n    return (typeof input === 'string') && parseFloat(input) === parseInt(input, 10) && !isNaN(input);\n  },\n\n  // 7.3.8. regex\n  'regex': function (input) {\n    var result = true;\n    try {\n      new RegExp(input);\n    } catch (e) {\n      result = false;\n    }\n    return result;\n  },\n\n  // Other definitions\n  // \"style\" was removed from JSON Schema in draft-4 and is deprecated\n  'style': /[\\r\\n\\t ]*[^\\r\\n\\t ][^:]*:[\\r\\n\\t ]*[^\\r\\n\\t ;]*[\\r\\n\\t ]*;?/,\n  // \"color\" was removed from JSON Schema in draft-4 and is deprecated\n  'color': /^(#?([0-9A-Fa-f]{3}){1,2}\\b|aqua|black|blue|fuchsia|gray|green|lime|maroon|navy|olive|orange|purple|red|silver|teal|white|yellow|(rgb\\(\\s*\\b([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\b\\s*,\\s*\\b([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\b\\s*,\\s*\\b([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\b\\s*\\))|(rgb\\(\\s*(\\d?\\d%|100%)+\\s*,\\s*(\\d?\\d%|100%)+\\s*,\\s*(\\d?\\d%|100%)+\\s*\\)))$/,\n  'phone': /^\\+(?:[0-9] ?){6,14}[0-9]$/,\n  'alpha': /^[a-zA-Z]+$/,\n  'alphanumeric': /^[a-zA-Z0-9]+$/,\n};\n\nFORMAT_REGEXPS.regexp = FORMAT_REGEXPS.regex;\nFORMAT_REGEXPS.pattern = FORMAT_REGEXPS.regex;\nFORMAT_REGEXPS.ipv4 = FORMAT_REGEXPS['ip-address'];\n\nexports.isFormat = function isFormat (input, format, validator) {\n  if (typeof input === 'string' && FORMAT_REGEXPS[format] !== undefined) {\n    if (FORMAT_REGEXPS[format] instanceof RegExp) {\n      return FORMAT_REGEXPS[format].test(input);\n    }\n    if (typeof FORMAT_REGEXPS[format] === 'function') {\n      return FORMAT_REGEXPS[format](input);\n    }\n  } else if (validator && validator.customFormats &&\n      typeof validator.customFormats[format] === 'function') {\n    return validator.customFormats[format](input);\n  }\n  return true;\n};\n\nvar makeSuffix = exports.makeSuffix = function makeSuffix (key) {\n  key = key.toString();\n  // This function could be capable of outputting valid a ECMAScript string, but the\n  // resulting code for testing which form to use would be tens of thousands of characters long\n  // That means this will use the name form for some illegal forms\n  if (!key.match(/[.\\s\\[\\]]/) && !key.match(/^[\\d]/)) {\n    return '.' + key;\n  }\n  if (key.match(/^\\d+$/)) {\n    return '[' + key + ']';\n  }\n  return '[' + JSON.stringify(key) + ']';\n};\n\nexports.deepCompareStrict = function deepCompareStrict (a, b) {\n  if (typeof a !== typeof b) {\n    return false;\n  }\n  if (Array.isArray(a)) {\n    if (!Array.isArray(b)) {\n      return false;\n    }\n    if (a.length !== b.length) {\n      return false;\n    }\n    return a.every(function (v, i) {\n      return deepCompareStrict(a[i], b[i]);\n    });\n  }\n  if (typeof a === 'object') {\n    if (!a || !b) {\n      return a === b;\n    }\n    var aKeys = Object.keys(a);\n    var bKeys = Object.keys(b);\n    if (aKeys.length !== bKeys.length) {\n      return false;\n    }\n    return aKeys.every(function (v) {\n      return deepCompareStrict(a[v], b[v]);\n    });\n  }\n  return a === b;\n};\n\nfunction deepMerger (target, dst, e, i) {\n  if (typeof e === 'object') {\n    dst[i] = deepMerge(target[i], e);\n  } else {\n    if (target.indexOf(e) === -1) {\n      dst.push(e);\n    }\n  }\n}\n\nfunction copyist (src, dst, key) {\n  dst[key] = src[key];\n}\n\nfunction copyistWithDeepMerge (target, src, dst, key) {\n  if (typeof src[key] !== 'object' || !src[key]) {\n    dst[key] = src[key];\n  }\n  else {\n    if (!target[key]) {\n      dst[key] = src[key];\n    } else {\n      dst[key] = deepMerge(target[key], src[key]);\n    }\n  }\n}\n\nfunction deepMerge (target, src) {\n  var array = Array.isArray(src);\n  var dst = array && [] || {};\n\n  if (array) {\n    target = target || [];\n    dst = dst.concat(target);\n    src.forEach(deepMerger.bind(null, target, dst));\n  } else {\n    if (target && typeof target === 'object') {\n      Object.keys(target).forEach(copyist.bind(null, target, dst));\n    }\n    Object.keys(src).forEach(copyistWithDeepMerge.bind(null, target, src, dst));\n  }\n\n  return dst;\n}\n\nmodule.exports.deepMerge = deepMerge;\n\n/**\n * Validates instance against the provided schema\n * Implements URI+JSON Pointer encoding, e.g. \"%7e\"=\"~0\"=>\"~\", \"~1\"=\"%2f\"=>\"/\"\n * @param o\n * @param s The path to walk o along\n * @return any\n */\nexports.objectGetPath = function objectGetPath(o, s) {\n  var parts = s.split('/').slice(1);\n  var k;\n  while (typeof (k=parts.shift()) == 'string') {\n    var n = decodeURIComponent(k.replace(/~0/,'~').replace(/~1/g,'/'));\n    if (!(n in o)) return;\n    o = o[n];\n  }\n  return o;\n};\n\nfunction pathEncoder (v) {\n  return '/'+encodeURIComponent(v).replace(/~/g,'%7E');\n}\n/**\n * Accept an Array of property names and return a JSON Pointer URI fragment\n * @param Array a\n * @return {String}\n */\nexports.encodePath = function encodePointer(a){\n  // ~ must be encoded explicitly because hacks\n  // the slash is encoded by encodeURIComponent\n  return a.map(pathEncoder).join('');\n};\n\n\n/**\n * Calculate the number of decimal places a number uses\n * We need this to get correct results out of multipleOf and divisibleBy\n * when either figure is has decimal places, due to IEEE-754 float issues.\n * @param number\n * @returns {number}\n */\nexports.getDecimalPlaces = function getDecimalPlaces(number) {\n\n  var decimalPlaces = 0;\n  if (isNaN(number)) return decimalPlaces;\n\n  if (typeof number !== 'number') {\n    number = Number(number);\n  }\n\n  var parts = number.toString().split('e');\n  if (parts.length === 2) {\n    if (parts[1][0] !== '-') {\n      return decimalPlaces;\n    } else {\n      decimalPlaces = Number(parts[1].slice(1));\n    }\n  }\n\n  var decimalParts = parts[0].split('.');\n  if (decimalParts.length === 2) {\n    decimalPlaces += decimalParts[1].length;\n  }\n\n  return decimalPlaces;\n};\n\nexports.isSchema = function isSchema(val){\n  return (typeof val === 'object' && val) || (typeof val === 'boolean');\n};\n\n","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./w2pPintura.vue?vue&type=style&index=2&id=07faefe4&prod&lang=scss\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"e42ad870\", content, shadowRoot)\n};","export * from \"-!../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./TheApp.vue?vue&type=style&index=0&id=a296f9ac&prod&lang=scss\"","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".custom-add-button[data-v-f91eb79e]{width:var(--btn-width);height:var(--btn-height);background-color:#fff;border:1px solid #e0e0e0;border-radius:5px;display:grid;justify-content:center;justify-items:center;align-content:space-evenly}.custom-add-button--icon[data-v-f91eb79e]{width:35px;height:35px;color:var(--color)}.custom-add-button--text[data-v-f91eb79e]{color:var(--color)}.custom-add-button[data-v-f91eb79e]:hover{cursor:pointer}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \"div[data-notification]{position:relative;max-width:none;z-index:2}.inline-notification__wrapper{margin:0 1rem}.print-positions__footer{background-color:#393939}.print-positions__footer .bx--btn-set .bx--btn{min-width:50%;min-height:64px;font-size:14px}.bx--inline-notification__text-wrapper{padding:15px 0}.bx--inline-notification__icon{margin-top:14px}.bx--inline-notification{min-height:48px}.bx--inline-notification__subtitle,.bx--inline-notification__title{font-size:14px}.bx--inline-notification__close-button{display:none}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","\"use strict\";\nObject.defineProperty(exports, \"__esModule\", { value: true });\nexports.isNonNegative = void 0;\n/** Validator that only allows non-negative numbers (`>= 0`). */\nconst isNonNegative = (value) => {\n    if (typeof value !== 'number' || value < 0 || Number.isNaN(value)) {\n        return 'value should be a non-negative number';\n    }\n    return undefined;\n};\nexports.isNonNegative = isNonNegative;\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".panel-container[data-v-595e6565]{position:absolute;z-index:900;max-height:100%;width:270px;background-color:#fff;left:52px;top:245px;box-shadow:0 2.8px 2.2px rgba(0,0,0,.034),0 6.7px 5.3px rgba(0,0,0,.048),0 12.5px 10px rgba(0,0,0,.06),0 22.3px 17.9px rgba(0,0,0,.072),0 41.8px 33.4px rgba(0,0,0,.086),0 100px 80px rgba(0,0,0,.12)}.panel-container .bx--btn[data-v-595e6565]{max-width:270px;height:32px;font-size:14px}.panel-container .cv-checkbox .panel-option .bx--checkbox-wrapper .bx--form-item[data-v-595e6565]{margin-top:8px}.panel-header[data-v-595e6565]{color:#161616;font-size:16px;font-weight:700;margin:5px}.panel-content[data-v-595e6565]{padding:10px}.btn--size[data-v-595e6565]{width:20px!important;height:20px!important}.panel-option[data-v-595e6565]{margin-top:10px}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","'use strict';\n// TODO: Remove from `core-js@4`\nrequire('../modules/es.set.is-subset-of.v2');\n","'use strict';\nvar toIntegerOrInfinity = require('../internals/to-integer-or-infinity');\n\nvar max = Math.max;\nvar min = Math.min;\n\n// Helper for a popular repeating case of the spec:\n// Let integer be ? ToInteger(index).\n// If integer < 0, let result be max((length + integer), 0); else let result be min(integer, length).\nmodule.exports = function (index, length) {\n  var integer = toIntegerOrInfinity(index);\n  return integer < 0 ? max(integer + length, 0) : min(integer, length);\n};\n","'use strict';\nvar global = require('../internals/global');\nvar getOwnPropertyDescriptor = require('../internals/object-get-own-property-descriptor').f;\nvar createNonEnumerableProperty = require('../internals/create-non-enumerable-property');\nvar defineBuiltIn = require('../internals/define-built-in');\nvar defineGlobalProperty = require('../internals/define-global-property');\nvar copyConstructorProperties = require('../internals/copy-constructor-properties');\nvar isForced = require('../internals/is-forced');\n\n/*\n  options.target         - name of the target object\n  options.global         - target is the global object\n  options.stat           - export as static methods of target\n  options.proto          - export as prototype methods of target\n  options.real           - real prototype method for the `pure` version\n  options.forced         - export even if the native feature is available\n  options.bind           - bind methods to the target, required for the `pure` version\n  options.wrap           - wrap constructors to preventing global pollution, required for the `pure` version\n  options.unsafe         - use the simple assignment of property instead of delete + defineProperty\n  options.sham           - add a flag to not completely full polyfills\n  options.enumerable     - export as enumerable property\n  options.dontCallGetSet - prevent calling a getter on target\n  options.name           - the .name of the function if it does not match the key\n*/\nmodule.exports = function (options, source) {\n  var TARGET = options.target;\n  var GLOBAL = options.global;\n  var STATIC = options.stat;\n  var FORCED, target, key, targetProperty, sourceProperty, descriptor;\n  if (GLOBAL) {\n    target = global;\n  } else if (STATIC) {\n    target = global[TARGET] || defineGlobalProperty(TARGET, {});\n  } else {\n    target = global[TARGET] && global[TARGET].prototype;\n  }\n  if (target) for (key in source) {\n    sourceProperty = source[key];\n    if (options.dontCallGetSet) {\n      descriptor = getOwnPropertyDescriptor(target, key);\n      targetProperty = descriptor && descriptor.value;\n    } else targetProperty = target[key];\n    FORCED = isForced(GLOBAL ? key : TARGET + (STATIC ? '.' : '#') + key, options.forced);\n    // contained in target\n    if (!FORCED && targetProperty !== undefined) {\n      if (typeof sourceProperty == typeof targetProperty) continue;\n      copyConstructorProperties(sourceProperty, targetProperty);\n    }\n    // add a flag to not completely full polyfills\n    if (options.sham || (targetProperty && targetProperty.sham)) {\n      createNonEnumerableProperty(sourceProperty, 'sham', true);\n    }\n    defineBuiltIn(target, key, sourceProperty, options);\n  }\n};\n","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../node_modules/css-loader/dist/cjs.js??ref--7-oneOf-1-1!../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../node_modules/postcss-loader/src/index.js??ref--7-oneOf-1-2!../../../node_modules/postcss-loader/src/index.js??ref--7-oneOf-1-3!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./QuestionAboutWhiteReplace.vue?vue&type=style&index=1&id=792f7dd1&prod&lang=css\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"834e1e0c\", content, shadowRoot)\n};","export * from \"-!../../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./Ruler.vue?vue&type=style&index=0&id=e8833e94&prod&lang=scss&scoped=true\"","'use strict';\nvar internalObjectKeys = require('../internals/object-keys-internal');\nvar enumBugKeys = require('../internals/enum-bug-keys');\n\nvar hiddenKeys = enumBugKeys.concat('length', 'prototype');\n\n// `Object.getOwnPropertyNames` method\n// https://tc39.es/ecma262/#sec-object.getownpropertynames\n// eslint-disable-next-line es/no-object-getownpropertynames -- safe\nexports.f = Object.getOwnPropertyNames || function getOwnPropertyNames(O) {\n  return internalObjectKeys(O, hiddenKeys);\n};\n","export * from \"-!../../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./Header.vue?vue&type=style&index=0&id=7cea795e&prod&lang=scss&scoped=true\"","'use strict';\n\nvar utils = require('./utils');\nvar normalizeHeaderName = require('./helpers/normalizeHeaderName');\nvar enhanceError = require('./core/enhanceError');\n\nvar DEFAULT_CONTENT_TYPE = {\n  'Content-Type': 'application/x-www-form-urlencoded'\n};\n\nfunction setContentTypeIfUnset(headers, value) {\n  if (!utils.isUndefined(headers) && utils.isUndefined(headers['Content-Type'])) {\n    headers['Content-Type'] = value;\n  }\n}\n\nfunction getDefaultAdapter() {\n  var adapter;\n  if (typeof XMLHttpRequest !== 'undefined') {\n    // For browsers use XHR adapter\n    adapter = require('./adapters/xhr');\n  } else if (typeof process !== 'undefined' && Object.prototype.toString.call(process) === '[object process]') {\n    // For node use HTTP adapter\n    adapter = require('./adapters/http');\n  }\n  return adapter;\n}\n\nfunction stringifySafely(rawValue, parser, encoder) {\n  if (utils.isString(rawValue)) {\n    try {\n      (parser || JSON.parse)(rawValue);\n      return utils.trim(rawValue);\n    } catch (e) {\n      if (e.name !== 'SyntaxError') {\n        throw e;\n      }\n    }\n  }\n\n  return (encoder || JSON.stringify)(rawValue);\n}\n\nvar defaults = {\n\n  transitional: {\n    silentJSONParsing: true,\n    forcedJSONParsing: true,\n    clarifyTimeoutError: false\n  },\n\n  adapter: getDefaultAdapter(),\n\n  transformRequest: [function transformRequest(data, headers) {\n    normalizeHeaderName(headers, 'Accept');\n    normalizeHeaderName(headers, 'Content-Type');\n\n    if (utils.isFormData(data) ||\n      utils.isArrayBuffer(data) ||\n      utils.isBuffer(data) ||\n      utils.isStream(data) ||\n      utils.isFile(data) ||\n      utils.isBlob(data)\n    ) {\n      return data;\n    }\n    if (utils.isArrayBufferView(data)) {\n      return data.buffer;\n    }\n    if (utils.isURLSearchParams(data)) {\n      setContentTypeIfUnset(headers, 'application/x-www-form-urlencoded;charset=utf-8');\n      return data.toString();\n    }\n    if (utils.isObject(data) || (headers && headers['Content-Type'] === 'application/json')) {\n      setContentTypeIfUnset(headers, 'application/json');\n      return stringifySafely(data);\n    }\n    return data;\n  }],\n\n  transformResponse: [function transformResponse(data) {\n    var transitional = this.transitional;\n    var silentJSONParsing = transitional && transitional.silentJSONParsing;\n    var forcedJSONParsing = transitional && transitional.forcedJSONParsing;\n    var strictJSONParsing = !silentJSONParsing && this.responseType === 'json';\n\n    if (strictJSONParsing || (forcedJSONParsing && utils.isString(data) && data.length)) {\n      try {\n        return JSON.parse(data);\n      } catch (e) {\n        if (strictJSONParsing) {\n          if (e.name === 'SyntaxError') {\n            throw enhanceError(e, this, 'E_JSON_PARSE');\n          }\n          throw e;\n        }\n      }\n    }\n\n    return data;\n  }],\n\n  /**\n   * A timeout in milliseconds to abort a request. If set to 0 (default) a\n   * timeout is not created.\n   */\n  timeout: 0,\n\n  xsrfCookieName: 'XSRF-TOKEN',\n  xsrfHeaderName: 'X-XSRF-TOKEN',\n\n  maxContentLength: -1,\n  maxBodyLength: -1,\n\n  validateStatus: function validateStatus(status) {\n    return status >= 200 && status < 300;\n  }\n};\n\ndefaults.headers = {\n  common: {\n    'Accept': 'application/json, text/plain, */*'\n  }\n};\n\nutils.forEach(['delete', 'get', 'head'], function forEachMethodNoData(method) {\n  defaults.headers[method] = {};\n});\n\nutils.forEach(['post', 'put', 'patch'], function forEachMethodWithData(method) {\n  defaults.headers[method] = utils.merge(DEFAULT_CONTENT_TYPE);\n});\n\nmodule.exports = defaults;\n","export * from \"-!../../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./CustomTool.vue?vue&type=style&index=0&id=51d15d1d&prod&lang=scss\"","export * from \"-!../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PrintTechniqueGroup.vue?vue&type=style&index=0&id=53499622&prod&lang=scss\"","export * from \"-!../../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./LanyardPanelOptions.vue?vue&type=style&index=1&id=1dbf1d0a&prod&lang=scss\"","\"use strict\";\n\n/*\n  MIT License http://www.opensource.org/licenses/mit-license.php\n  Author Tobias Koppers @sokra\n*/\n// css base code, injected by the css-loader\n// eslint-disable-next-line func-names\nmodule.exports = function (useSourceMap) {\n  var list = []; // return the list of modules as css string\n\n  list.toString = function toString() {\n    return this.map(function (item) {\n      var content = cssWithMappingToString(item, useSourceMap);\n\n      if (item[2]) {\n        return \"@media \".concat(item[2], \" {\").concat(content, \"}\");\n      }\n\n      return content;\n    }).join('');\n  }; // import a list of modules into the list\n  // eslint-disable-next-line func-names\n\n\n  list.i = function (modules, mediaQuery, dedupe) {\n    if (typeof modules === 'string') {\n      // eslint-disable-next-line no-param-reassign\n      modules = [[null, modules, '']];\n    }\n\n    var alreadyImportedModules = {};\n\n    if (dedupe) {\n      for (var i = 0; i < this.length; i++) {\n        // eslint-disable-next-line prefer-destructuring\n        var id = this[i][0];\n\n        if (id != null) {\n          alreadyImportedModules[id] = true;\n        }\n      }\n    }\n\n    for (var _i = 0; _i < modules.length; _i++) {\n      var item = [].concat(modules[_i]);\n\n      if (dedupe && alreadyImportedModules[item[0]]) {\n        // eslint-disable-next-line no-continue\n        continue;\n      }\n\n      if (mediaQuery) {\n        if (!item[2]) {\n          item[2] = mediaQuery;\n        } else {\n          item[2] = \"\".concat(mediaQuery, \" and \").concat(item[2]);\n        }\n      }\n\n      list.push(item);\n    }\n  };\n\n  return list;\n};\n\nfunction cssWithMappingToString(item, useSourceMap) {\n  var content = item[1] || ''; // eslint-disable-next-line prefer-destructuring\n\n  var cssMapping = item[3];\n\n  if (!cssMapping) {\n    return content;\n  }\n\n  if (useSourceMap && typeof btoa === 'function') {\n    var sourceMapping = toComment(cssMapping);\n    var sourceURLs = cssMapping.sources.map(function (source) {\n      return \"/*# sourceURL=\".concat(cssMapping.sourceRoot || '').concat(source, \" */\");\n    });\n    return [content].concat(sourceURLs).concat([sourceMapping]).join('\\n');\n  }\n\n  return [content].join('\\n');\n} // Adapted from convert-source-map (MIT)\n\n\nfunction toComment(sourceMap) {\n  // eslint-disable-next-line no-undef\n  var base64 = btoa(unescape(encodeURIComponent(JSON.stringify(sourceMap))));\n  var data = \"sourceMappingURL=data:application/json;charset=utf-8;base64,\".concat(base64);\n  return \"/*# \".concat(data, \" */\");\n}","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./Ruler.vue?vue&type=style&index=0&id=640c74c2&prod&lang=scss&scoped=true\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"1a159924\", content, shadowRoot)\n};","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".ruler[data-v-640c74c2]{--ruler-num-c:#6c6b6b;--ruler-num-fz:10px;--ruler-num-pi:0.75ch;--ruler-unit:1px;--ruler-x:1;--ruler-y:1;--ruler1-bdw:1px;--ruler1-c:#818181;--ruler1-h:13px;--ruler2-bdw:1px;--ruler2-c:#818181;--ruler2-h:30px;position:relative;height:770px;width:770px}.ruler-x[data-v-640c74c2]{border-top:var(--ruler1-bdw) var(--ruler1-c) solid;background-image:linear-gradient(90deg,var(--ruler1-c) var(--ruler1-bdw),transparent 0),linear-gradient(90deg,var(--ruler2-c) var(--ruler2-bdw),transparent 0);background-repeat:repeat-x,repeat-x,repeat-y,repeat-y;counter-reset:d 0;z-index:1}.ruler-x[data-v-640c74c2],.ruler-y[data-v-640c74c2]{position:absolute;left:0;top:90px;background-position:0 0;background-size:calc(var(--ruler-unit)*var(--ruler1-space)*var(--ruler-x)) var(--ruler1-h),calc(var(--ruler-unit)*var(--ruler2-space)*var(--ruler-x)) var(--ruler2-h),var(--ruler1-h) calc(var(--ruler-unit)*var(--ruler1-space)*var(--ruler-y)),var(--ruler2-h) calc(var(--ruler-unit)*var(--ruler2-space)*var(--ruler-y));color:var(--ruler-num-c);display:flex;font-size:var(--ruler-num-fz);line-height:1;list-style:none;margin:0;overflow:hidden;padding:0}.ruler-y[data-v-640c74c2]{height:583px;background-image:linear-gradient(90deg,var(--ruler1-c) var(--ruler1-bdw),transparent 0),linear-gradient(90deg,var(--ruler2-c) var(--ruler2-bdw),transparent 0),linear-gradient(0deg,var(--ruler1-c) var(--ruler1-bdw),transparent 0),linear-gradient(0deg,var(--ruler2-c) var(--ruler2-bdw),transparent 0);background-repeat:repeat-y,repeat-y}.ruler-x[data-v-640c74c2]{height:var(--ruler2-h);width:100%;z-index:2}.ruler-y[data-v-640c74c2]{flex-direction:column;width:35px;background-color:var(--rulery-background);opacity:.8;z-index:1}.ruler-x li[data-v-640c74c2]{align-self:flex-end;padding-left:5px}.ruler-x li[data-v-640c74c2],.ruler-y li[data-v-640c74c2]{flex:0 0 calc(var(--ruler-unit)*var(--ruler2-space))}.ruler-y li[data-v-640c74c2]{padding-left:14px;padding-top:3px}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","export * from \"-!../../../../node_modules/vue-style-loader/index.js??ref--7-oneOf-1-0!../../../../node_modules/css-loader/dist/cjs.js??ref--7-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--7-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--7-oneOf-1-3!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./RoundItemPanel.vue?vue&type=style&index=1&id=582fdf2e&prod&lang=css\"","var hasMap = typeof Map === 'function' && Map.prototype;\nvar mapSizeDescriptor = Object.getOwnPropertyDescriptor && hasMap ? Object.getOwnPropertyDescriptor(Map.prototype, 'size') : null;\nvar mapSize = hasMap && mapSizeDescriptor && typeof mapSizeDescriptor.get === 'function' ? mapSizeDescriptor.get : null;\nvar mapForEach = hasMap && Map.prototype.forEach;\nvar hasSet = typeof Set === 'function' && Set.prototype;\nvar setSizeDescriptor = Object.getOwnPropertyDescriptor && hasSet ? Object.getOwnPropertyDescriptor(Set.prototype, 'size') : null;\nvar setSize = hasSet && setSizeDescriptor && typeof setSizeDescriptor.get === 'function' ? setSizeDescriptor.get : null;\nvar setForEach = hasSet && Set.prototype.forEach;\nvar hasWeakMap = typeof WeakMap === 'function' && WeakMap.prototype;\nvar weakMapHas = hasWeakMap ? WeakMap.prototype.has : null;\nvar hasWeakSet = typeof WeakSet === 'function' && WeakSet.prototype;\nvar weakSetHas = hasWeakSet ? WeakSet.prototype.has : null;\nvar hasWeakRef = typeof WeakRef === 'function' && WeakRef.prototype;\nvar weakRefDeref = hasWeakRef ? WeakRef.prototype.deref : null;\nvar booleanValueOf = Boolean.prototype.valueOf;\nvar objectToString = Object.prototype.toString;\nvar functionToString = Function.prototype.toString;\nvar $match = String.prototype.match;\nvar $slice = String.prototype.slice;\nvar $replace = String.prototype.replace;\nvar $toUpperCase = String.prototype.toUpperCase;\nvar $toLowerCase = String.prototype.toLowerCase;\nvar $test = RegExp.prototype.test;\nvar $concat = Array.prototype.concat;\nvar $join = Array.prototype.join;\nvar $arrSlice = Array.prototype.slice;\nvar $floor = Math.floor;\nvar bigIntValueOf = typeof BigInt === 'function' ? BigInt.prototype.valueOf : null;\nvar gOPS = Object.getOwnPropertySymbols;\nvar symToString = typeof Symbol === 'function' && typeof Symbol.iterator === 'symbol' ? Symbol.prototype.toString : null;\nvar hasShammedSymbols = typeof Symbol === 'function' && typeof Symbol.iterator === 'object';\n// ie, `has-tostringtag/shams\nvar toStringTag = typeof Symbol === 'function' && Symbol.toStringTag && (typeof Symbol.toStringTag === hasShammedSymbols ? 'object' : 'symbol')\n    ? Symbol.toStringTag\n    : null;\nvar isEnumerable = Object.prototype.propertyIsEnumerable;\n\nvar gPO = (typeof Reflect === 'function' ? Reflect.getPrototypeOf : Object.getPrototypeOf) || (\n    [].__proto__ === Array.prototype // eslint-disable-line no-proto\n        ? function (O) {\n            return O.__proto__; // eslint-disable-line no-proto\n        }\n        : null\n);\n\nfunction addNumericSeparator(num, str) {\n    if (\n        num === Infinity\n        || num === -Infinity\n        || num !== num\n        || (num && num > -1000 && num < 1000)\n        || $test.call(/e/, str)\n    ) {\n        return str;\n    }\n    var sepRegex = /[0-9](?=(?:[0-9]{3})+(?![0-9]))/g;\n    if (typeof num === 'number') {\n        var int = num < 0 ? -$floor(-num) : $floor(num); // trunc(num)\n        if (int !== num) {\n            var intStr = String(int);\n            var dec = $slice.call(str, intStr.length + 1);\n            return $replace.call(intStr, sepRegex, '$&_') + '.' + $replace.call($replace.call(dec, /([0-9]{3})/g, '$&_'), /_$/, '');\n        }\n    }\n    return $replace.call(str, sepRegex, '$&_');\n}\n\nvar utilInspect = require('./util.inspect');\nvar inspectCustom = utilInspect.custom;\nvar inspectSymbol = isSymbol(inspectCustom) ? inspectCustom : null;\n\nmodule.exports = function inspect_(obj, options, depth, seen) {\n    var opts = options || {};\n\n    if (has(opts, 'quoteStyle') && (opts.quoteStyle !== 'single' && opts.quoteStyle !== 'double')) {\n        throw new TypeError('option \"quoteStyle\" must be \"single\" or \"double\"');\n    }\n    if (\n        has(opts, 'maxStringLength') && (typeof opts.maxStringLength === 'number'\n            ? opts.maxStringLength < 0 && opts.maxStringLength !== Infinity\n            : opts.maxStringLength !== null\n        )\n    ) {\n        throw new TypeError('option \"maxStringLength\", if provided, must be a positive integer, Infinity, or `null`');\n    }\n    var customInspect = has(opts, 'customInspect') ? opts.customInspect : true;\n    if (typeof customInspect !== 'boolean' && customInspect !== 'symbol') {\n        throw new TypeError('option \"customInspect\", if provided, must be `true`, `false`, or `\\'symbol\\'`');\n    }\n\n    if (\n        has(opts, 'indent')\n        && opts.indent !== null\n        && opts.indent !== '\\t'\n        && !(parseInt(opts.indent, 10) === opts.indent && opts.indent > 0)\n    ) {\n        throw new TypeError('option \"indent\" must be \"\\\\t\", an integer > 0, or `null`');\n    }\n    if (has(opts, 'numericSeparator') && typeof opts.numericSeparator !== 'boolean') {\n        throw new TypeError('option \"numericSeparator\", if provided, must be `true` or `false`');\n    }\n    var numericSeparator = opts.numericSeparator;\n\n    if (typeof obj === 'undefined') {\n        return 'undefined';\n    }\n    if (obj === null) {\n        return 'null';\n    }\n    if (typeof obj === 'boolean') {\n        return obj ? 'true' : 'false';\n    }\n\n    if (typeof obj === 'string') {\n        return inspectString(obj, opts);\n    }\n    if (typeof obj === 'number') {\n        if (obj === 0) {\n            return Infinity / obj > 0 ? '0' : '-0';\n        }\n        var str = String(obj);\n        return numericSeparator ? addNumericSeparator(obj, str) : str;\n    }\n    if (typeof obj === 'bigint') {\n        var bigIntStr = String(obj) + 'n';\n        return numericSeparator ? addNumericSeparator(obj, bigIntStr) : bigIntStr;\n    }\n\n    var maxDepth = typeof opts.depth === 'undefined' ? 5 : opts.depth;\n    if (typeof depth === 'undefined') { depth = 0; }\n    if (depth >= maxDepth && maxDepth > 0 && typeof obj === 'object') {\n        return isArray(obj) ? '[Array]' : '[Object]';\n    }\n\n    var indent = getIndent(opts, depth);\n\n    if (typeof seen === 'undefined') {\n        seen = [];\n    } else if (indexOf(seen, obj) >= 0) {\n        return '[Circular]';\n    }\n\n    function inspect(value, from, noIndent) {\n        if (from) {\n            seen = $arrSlice.call(seen);\n            seen.push(from);\n        }\n        if (noIndent) {\n            var newOpts = {\n                depth: opts.depth\n            };\n            if (has(opts, 'quoteStyle')) {\n                newOpts.quoteStyle = opts.quoteStyle;\n            }\n            return inspect_(value, newOpts, depth + 1, seen);\n        }\n        return inspect_(value, opts, depth + 1, seen);\n    }\n\n    if (typeof obj === 'function' && !isRegExp(obj)) { // in older engines, regexes are callable\n        var name = nameOf(obj);\n        var keys = arrObjKeys(obj, inspect);\n        return '[Function' + (name ? ': ' + name : ' (anonymous)') + ']' + (keys.length > 0 ? ' { ' + $join.call(keys, ', ') + ' }' : '');\n    }\n    if (isSymbol(obj)) {\n        var symString = hasShammedSymbols ? $replace.call(String(obj), /^(Symbol\\(.*\\))_[^)]*$/, '$1') : symToString.call(obj);\n        return typeof obj === 'object' && !hasShammedSymbols ? markBoxed(symString) : symString;\n    }\n    if (isElement(obj)) {\n        var s = '<' + $toLowerCase.call(String(obj.nodeName));\n        var attrs = obj.attributes || [];\n        for (var i = 0; i < attrs.length; i++) {\n            s += ' ' + attrs[i].name + '=' + wrapQuotes(quote(attrs[i].value), 'double', opts);\n        }\n        s += '>';\n        if (obj.childNodes && obj.childNodes.length) { s += '...'; }\n        s += '</' + $toLowerCase.call(String(obj.nodeName)) + '>';\n        return s;\n    }\n    if (isArray(obj)) {\n        if (obj.length === 0) { return '[]'; }\n        var xs = arrObjKeys(obj, inspect);\n        if (indent && !singleLineValues(xs)) {\n            return '[' + indentedJoin(xs, indent) + ']';\n        }\n        return '[ ' + $join.call(xs, ', ') + ' ]';\n    }\n    if (isError(obj)) {\n        var parts = arrObjKeys(obj, inspect);\n        if (!('cause' in Error.prototype) && 'cause' in obj && !isEnumerable.call(obj, 'cause')) {\n            return '{ [' + String(obj) + '] ' + $join.call($concat.call('[cause]: ' + inspect(obj.cause), parts), ', ') + ' }';\n        }\n        if (parts.length === 0) { return '[' + String(obj) + ']'; }\n        return '{ [' + String(obj) + '] ' + $join.call(parts, ', ') + ' }';\n    }\n    if (typeof obj === 'object' && customInspect) {\n        if (inspectSymbol && typeof obj[inspectSymbol] === 'function' && utilInspect) {\n            return utilInspect(obj, { depth: maxDepth - depth });\n        } else if (customInspect !== 'symbol' && typeof obj.inspect === 'function') {\n            return obj.inspect();\n        }\n    }\n    if (isMap(obj)) {\n        var mapParts = [];\n        if (mapForEach) {\n            mapForEach.call(obj, function (value, key) {\n                mapParts.push(inspect(key, obj, true) + ' => ' + inspect(value, obj));\n            });\n        }\n        return collectionOf('Map', mapSize.call(obj), mapParts, indent);\n    }\n    if (isSet(obj)) {\n        var setParts = [];\n        if (setForEach) {\n            setForEach.call(obj, function (value) {\n                setParts.push(inspect(value, obj));\n            });\n        }\n        return collectionOf('Set', setSize.call(obj), setParts, indent);\n    }\n    if (isWeakMap(obj)) {\n        return weakCollectionOf('WeakMap');\n    }\n    if (isWeakSet(obj)) {\n        return weakCollectionOf('WeakSet');\n    }\n    if (isWeakRef(obj)) {\n        return weakCollectionOf('WeakRef');\n    }\n    if (isNumber(obj)) {\n        return markBoxed(inspect(Number(obj)));\n    }\n    if (isBigInt(obj)) {\n        return markBoxed(inspect(bigIntValueOf.call(obj)));\n    }\n    if (isBoolean(obj)) {\n        return markBoxed(booleanValueOf.call(obj));\n    }\n    if (isString(obj)) {\n        return markBoxed(inspect(String(obj)));\n    }\n    // note: in IE 8, sometimes `global !== window` but both are the prototypes of each other\n    /* eslint-env browser */\n    if (typeof window !== 'undefined' && obj === window) {\n        return '{ [object Window] }';\n    }\n    if (obj === global) {\n        return '{ [object globalThis] }';\n    }\n    if (!isDate(obj) && !isRegExp(obj)) {\n        var ys = arrObjKeys(obj, inspect);\n        var isPlainObject = gPO ? gPO(obj) === Object.prototype : obj instanceof Object || obj.constructor === Object;\n        var protoTag = obj instanceof Object ? '' : 'null prototype';\n        var stringTag = !isPlainObject && toStringTag && Object(obj) === obj && toStringTag in obj ? $slice.call(toStr(obj), 8, -1) : protoTag ? 'Object' : '';\n        var constructorTag = isPlainObject || typeof obj.constructor !== 'function' ? '' : obj.constructor.name ? obj.constructor.name + ' ' : '';\n        var tag = constructorTag + (stringTag || protoTag ? '[' + $join.call($concat.call([], stringTag || [], protoTag || []), ': ') + '] ' : '');\n        if (ys.length === 0) { return tag + '{}'; }\n        if (indent) {\n            return tag + '{' + indentedJoin(ys, indent) + '}';\n        }\n        return tag + '{ ' + $join.call(ys, ', ') + ' }';\n    }\n    return String(obj);\n};\n\nfunction wrapQuotes(s, defaultStyle, opts) {\n    var quoteChar = (opts.quoteStyle || defaultStyle) === 'double' ? 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@param schema\n * @param options\n * @param ctx\n * @private\n * @return {ValidatorResult}\n */\nValidator.prototype.validateSchema = function validateSchema (instance, schema, options, ctx) {\n  var result = new ValidatorResult(instance, schema, options, ctx);\n\n  // Support for the true/false schemas\n  if(typeof schema==='boolean') {\n    if(schema===true){\n      // `true` is always valid\n      schema = {};\n    }else if(schema===false){\n      // `false` is always invalid\n      schema = {type: []};\n    }\n  }else if(!schema){\n    // This might be a string\n    throw new Error(\"schema is undefined\");\n  }\n\n  if (schema['extends']) {\n    if (Array.isArray(schema['extends'])) {\n      var schemaobj = {schema: schema, ctx: ctx};\n      schema['extends'].forEach(this.schemaTraverser.bind(this, schemaobj));\n      schema = schemaobj.schema;\n      schemaobj.schema = null;\n      schemaobj.ctx = null;\n      schemaobj = null;\n    } else {\n      schema = helpers.deepMerge(schema, this.superResolve(schema['extends'], ctx));\n    }\n  }\n\n  // If passed a string argument, load that schema URI\n  var switchSchema = shouldResolve(schema);\n  if (switchSchema) {\n    var resolved = this.resolve(schema, switchSchema, ctx);\n    var subctx = new SchemaContext(resolved.subschema, options, ctx.path, resolved.switchSchema, ctx.schemas);\n    return this.validateSchema(instance, resolved.subschema, options, subctx);\n  }\n\n  var skipAttributes = options && options.skipAttributes || [];\n  // Validate each schema attribute against the instance\n  for (var key in schema) {\n    if (!attribute.ignoreProperties[key] && skipAttributes.indexOf(key) < 0) {\n      var validatorErr = null;\n      var validator = this.attributes[key];\n      if (validator) {\n        validatorErr = validator.call(this, instance, schema, options, ctx);\n      } else if (options.allowUnknownAttributes === false) {\n        // This represents an error with the schema itself, not an invalid instance\n        throw new SchemaError(\"Unsupported attribute: \" + key, schema);\n      }\n      if (validatorErr) {\n        result.importErrors(validatorErr);\n      }\n    }\n  }\n\n  if (typeof options.rewrite == 'function') {\n    var value = options.rewrite.call(this, instance, schema, options, ctx);\n    result.instance = value;\n  }\n  return result;\n};\n\n/**\n* @private\n* @param Object schema\n* @param SchemaContext ctx\n* @returns Object schema or resolved schema\n*/\nValidator.prototype.schemaTraverser = function schemaTraverser (schemaobj, s) {\n  schemaobj.schema = helpers.deepMerge(schemaobj.schema, this.superResolve(s, schemaobj.ctx));\n};\n\n/**\n* @private\n* @param Object schema\n* @param SchemaContext ctx\n* @returns Object schema or resolved schema\n*/\nValidator.prototype.superResolve = function superResolve (schema, ctx) {\n  var ref = shouldResolve(schema);\n  if(ref) {\n    return this.resolve(schema, ref, ctx).subschema;\n  }\n  return schema;\n};\n\n/**\n* @private\n* @param Object schema\n* @param Object switchSchema\n* @param SchemaContext ctx\n* @return Object resolved schemas {subschema:String, switchSchema: String}\n* @throws SchemaError\n*/\nValidator.prototype.resolve = function resolve (schema, switchSchema, ctx) {\n  switchSchema = ctx.resolve(switchSchema);\n  // First see if the schema exists under the provided URI\n  if (ctx.schemas[switchSchema]) {\n    return {subschema: ctx.schemas[switchSchema], switchSchema: switchSchema};\n  }\n  // Else try walking the property pointer\n  var parsed = urilib.parse(switchSchema);\n  var fragment = parsed && parsed.hash;\n  var document = fragment && fragment.length && switchSchema.substr(0, switchSchema.length - fragment.length);\n  if (!document || !ctx.schemas[document]) {\n    throw new SchemaError(\"no such schema <\" + switchSchema + \">\", schema);\n  }\n  var subschema = helpers.objectGetPath(ctx.schemas[document], fragment.substr(1));\n  if(subschema===undefined){\n    throw new SchemaError(\"no such schema \" + fragment + \" located in <\" + document + \">\", schema);\n  }\n  return {subschema: subschema, switchSchema: switchSchema};\n};\n\n/**\n * Tests whether the instance if of a certain type.\n * @private\n * @param instance\n * @param schema\n * @param options\n * @param ctx\n * @param type\n * @return {boolean}\n */\nValidator.prototype.testType = function validateType (instance, schema, options, ctx, type) {\n  if(type===undefined){\n    return;\n  }else if(type===null){\n    throw new SchemaError('Unexpected null in \"type\" keyword');\n  }\n  if (typeof this.types[type] == 'function') {\n    return this.types[type].call(this, instance);\n  }\n  if (type && typeof type == 'object') {\n    var res = this.validateSchema(instance, type, options, ctx);\n    return res === undefined || !(res && res.errors.length);\n  }\n  // Undefined or properties not on the list are acceptable, same as not being defined\n  return true;\n};\n\nvar types = Validator.prototype.types = {};\ntypes.string = function testString (instance) {\n  return typeof instance == 'string';\n};\ntypes.number = function testNumber (instance) {\n  // isFinite returns false for NaN, Infinity, and -Infinity\n  return typeof instance == 'number' && isFinite(instance);\n};\ntypes.integer = function testInteger (instance) {\n  return (typeof instance == 'number') && instance % 1 === 0;\n};\ntypes.boolean = function testBoolean (instance) {\n  return typeof instance == 'boolean';\n};\ntypes.array = function testArray (instance) {\n  return Array.isArray(instance);\n};\ntypes['null'] = function testNull (instance) {\n  return instance === null;\n};\ntypes.date = function testDate (instance) {\n  return instance instanceof Date;\n};\ntypes.any = function testAny (instance) {\n  return true;\n};\ntypes.object = function testObject (instance) {\n  // TODO: fix this - see #15\n  return instance && (typeof instance === 'object') && !(Array.isArray(instance)) && !(instance instanceof Date);\n};\n\nmodule.exports = Validator;\n","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./SmallDetailsNotification.vue?vue&type=style&index=0&id=394c9f23&prod&lang=scss\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"454b6266\", content, shadowRoot)\n};","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".editor-toolbar .bx--btn.bx--btn--icon-only.bx--tooltip__trigger+.bx--assistive-text,.editor-toolbar .bx--btn.bx--btn--icon-only.bx--tooltip__trigger .bx--assistive-text,.editor-toolbar .bx--btn.bx--btn--icon-only.bx--tooltip__trigger:after{transform:translate(-75%,100%);min-width:24px;max-width:208px;padding:3px 16px;font-size:14px}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","import { render, staticRenderFns } from \"./StyleProvider.vue?vue&type=template&id=0cf82d90\"\nimport script from \"./StyleProvider.vue?vue&type=script&lang=js\"\nexport * from \"./StyleProvider.vue?vue&type=script&lang=js\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./StyleProvider.vue?vue&type=style&index=0&id=0cf82d90&prod&lang=scss\")\nif (style0.__inject__) style0.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  null,\n  null\n  ,true\n)\n\nexport default component.exports","'use strict';\nvar call = require('../internals/function-call');\nvar anObject = require('../internals/an-object');\nvar getMethod = require('../internals/get-method');\n\nmodule.exports = function (iterator, kind, value) {\n  var innerResult, innerError;\n  anObject(iterator);\n  try {\n    innerResult = getMethod(iterator, 'return');\n    if (!innerResult) {\n      if (kind === 'throw') throw value;\n      return value;\n    }\n    innerResult = call(innerResult, iterator);\n  } catch (error) {\n    innerError = true;\n    innerResult = error;\n  }\n  if (kind === 'throw') throw value;\n  if (innerError) throw innerResult;\n  anObject(innerResult);\n  return value;\n};\n","'use strict';\n\nvar GetIntrinsic = require('get-intrinsic');\n\nvar $gOPD = GetIntrinsic('%Object.getOwnPropertyDescriptor%', true);\n\nif ($gOPD) {\n\ttry {\n\t\t$gOPD([], 'length');\n\t} catch (e) {\n\t\t// IE 8 has a broken gOPD\n\t\t$gOPD = null;\n\t}\n}\n\nmodule.exports = $gOPD;\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".color-section{padding:0 15px 15px 0}.color-section__container{display:flex;align-items:center;justify-content:space-between}.color-section__fullColor{display:flex;height:36px}.color-section__label{width:220px;height:18px;font-family:Roboto;font-size:12px;font-stretch:normal;font-style:normal;line-height:1.29;letter-spacing:.16px;font-weight:700;color:#525252}.color-section__remove{border-style:none;margin-top:4px;padding:2px 2px 2px 2px;width:20px;height:16px}.color-section__remove:hover{background:none!important}.color-section__remove:active,.color-section__remove:focus,.color-section__remove:hover{border:none!important;outline:0!important}.color-section__remove svg{margin-left:0!important}.bx--btn__color{color:#161616}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","/*!\n * Vue.js v2.7.14\n * (c) 2014-2022 Evan You\n * Released under the MIT License.\n */\nvar emptyObject = Object.freeze({});\nvar isArray = Array.isArray;\n// These helpers produce better VM code in JS engines due to their\n// explicitness and function inlining.\nfunction isUndef(v) {\n    return v === undefined || v === null;\n}\nfunction isDef(v) {\n    return v !== undefined && v !== null;\n}\nfunction isTrue(v) {\n    return v === true;\n}\nfunction isFalse(v) {\n    return v === false;\n}\n/**\n * Check if value is primitive.\n */\nfunction isPrimitive(value) {\n    return (typeof value === 'string' ||\n        typeof value === 'number' ||\n        // $flow-disable-line\n        typeof value === 'symbol' ||\n        typeof value === 'boolean');\n}\nfunction isFunction(value) {\n    return typeof value === 'function';\n}\n/**\n * Quick object check - this is primarily used to tell\n * objects from primitive values when we know the value\n * is a JSON-compliant type.\n */\nfunction isObject(obj) {\n    return obj !== null && typeof obj === 'object';\n}\n/**\n * Get the raw type string of a value, e.g., [object Object].\n */\nvar _toString = Object.prototype.toString;\nfunction toRawType(value) {\n    return _toString.call(value).slice(8, -1);\n}\n/**\n * Strict object type check. Only returns true\n * for plain JavaScript objects.\n */\nfunction isPlainObject(obj) {\n    return _toString.call(obj) === '[object Object]';\n}\nfunction isRegExp(v) {\n    return _toString.call(v) === '[object RegExp]';\n}\n/**\n * Check if val is a valid array index.\n */\nfunction isValidArrayIndex(val) {\n    var n = parseFloat(String(val));\n    return n >= 0 && Math.floor(n) === n && isFinite(val);\n}\nfunction isPromise(val) {\n    return (isDef(val) &&\n        typeof val.then === 'function' &&\n        typeof val.catch === 'function');\n}\n/**\n * Convert a value to a string that is actually rendered.\n */\nfunction toString(val) {\n    return val == null\n        ? ''\n        : Array.isArray(val) || (isPlainObject(val) && val.toString === _toString)\n            ? JSON.stringify(val, null, 2)\n            : String(val);\n}\n/**\n * Convert an input value to a number for persistence.\n * If the conversion fails, return original string.\n */\nfunction toNumber(val) {\n    var n = parseFloat(val);\n    return isNaN(n) ? val : n;\n}\n/**\n * Make a map and return a function for checking if a key\n * is in that map.\n */\nfunction makeMap(str, expectsLowerCase) {\n    var map = Object.create(null);\n    var list = str.split(',');\n    for (var i = 0; i < list.length; i++) {\n        map[list[i]] = true;\n    }\n    return expectsLowerCase ? function (val) { return map[val.toLowerCase()]; } : function (val) { return map[val]; };\n}\n/**\n * Check if a tag is a built-in tag.\n */\nvar isBuiltInTag = makeMap('slot,component', true);\n/**\n * Check if an attribute is a reserved attribute.\n */\nvar isReservedAttribute = makeMap('key,ref,slot,slot-scope,is');\n/**\n * Remove an item from an array.\n */\nfunction remove$2(arr, item) {\n    var len = arr.length;\n    if (len) {\n        // fast path for the only / last item\n        if (item === arr[len - 1]) {\n            arr.length = len - 1;\n            return;\n        }\n        var index = arr.indexOf(item);\n        if (index > -1) {\n            return arr.splice(index, 1);\n        }\n    }\n}\n/**\n * Check whether an object has the property.\n */\nvar hasOwnProperty = Object.prototype.hasOwnProperty;\nfunction hasOwn(obj, key) {\n    return hasOwnProperty.call(obj, key);\n}\n/**\n * Create a cached version of a pure function.\n */\nfunction cached(fn) {\n    var cache = Object.create(null);\n    return function cachedFn(str) {\n        var hit = cache[str];\n        return hit || (cache[str] = fn(str));\n    };\n}\n/**\n * Camelize a hyphen-delimited string.\n */\nvar camelizeRE = /-(\\w)/g;\nvar camelize = cached(function (str) {\n    return str.replace(camelizeRE, function (_, c) { return (c ? c.toUpperCase() : ''); });\n});\n/**\n * Capitalize a string.\n */\nvar capitalize = cached(function (str) {\n    return str.charAt(0).toUpperCase() + str.slice(1);\n});\n/**\n * Hyphenate a camelCase string.\n */\nvar hyphenateRE = /\\B([A-Z])/g;\nvar hyphenate = cached(function (str) {\n    return str.replace(hyphenateRE, '-$1').toLowerCase();\n});\n/**\n * Simple bind polyfill for environments that do not support it,\n * e.g., PhantomJS 1.x. Technically, we don't need this anymore\n * since native bind is now performant enough in most browsers.\n * But removing it would mean breaking code that was able to run in\n * PhantomJS 1.x, so this must be kept for backward compatibility.\n */\n/* istanbul ignore next */\nfunction polyfillBind(fn, ctx) {\n    function boundFn(a) {\n        var l = arguments.length;\n        return l\n            ? l > 1\n                ? fn.apply(ctx, arguments)\n                : fn.call(ctx, a)\n            : fn.call(ctx);\n    }\n    boundFn._length = fn.length;\n    return boundFn;\n}\nfunction nativeBind(fn, ctx) {\n    return fn.bind(ctx);\n}\n// @ts-expect-error bind cannot be `undefined`\nvar bind = Function.prototype.bind ? nativeBind : polyfillBind;\n/**\n * Convert an Array-like object to a real Array.\n */\nfunction toArray(list, start) {\n    start = start || 0;\n    var i = list.length - start;\n    var ret = new Array(i);\n    while (i--) {\n        ret[i] = list[i + start];\n    }\n    return ret;\n}\n/**\n * Mix properties into target object.\n */\nfunction extend(to, _from) {\n    for (var key in _from) {\n        to[key] = _from[key];\n    }\n    return to;\n}\n/**\n * Merge an Array of Objects into a single Object.\n */\nfunction toObject(arr) {\n    var res = {};\n    for (var i = 0; i < arr.length; i++) {\n        if (arr[i]) {\n            extend(res, arr[i]);\n        }\n    }\n    return res;\n}\n/* eslint-disable no-unused-vars */\n/**\n * Perform no operation.\n * Stubbing args to make Flow happy without leaving useless transpiled code\n * with ...rest (https://flow.org/blog/2017/05/07/Strict-Function-Call-Arity/).\n */\nfunction noop(a, b, c) { }\n/**\n * Always return false.\n */\nvar no = function (a, b, c) { return false; };\n/* eslint-enable no-unused-vars */\n/**\n * Return the same value.\n */\nvar identity = function (_) { return _; };\n/**\n * Check if two values are loosely equal - that is,\n * if they are plain objects, do they have the same shape?\n */\nfunction looseEqual(a, b) {\n    if (a === b)\n        return true;\n    var isObjectA = isObject(a);\n    var isObjectB = isObject(b);\n    if (isObjectA && isObjectB) {\n        try {\n            var isArrayA = Array.isArray(a);\n            var isArrayB = Array.isArray(b);\n            if (isArrayA && isArrayB) {\n                return (a.length === b.length &&\n                    a.every(function (e, i) {\n                        return looseEqual(e, b[i]);\n                    }));\n            }\n            else if (a instanceof Date && b instanceof Date) {\n                return a.getTime() === b.getTime();\n            }\n            else if (!isArrayA && !isArrayB) {\n                var keysA = Object.keys(a);\n                var keysB = Object.keys(b);\n                return (keysA.length === keysB.length &&\n                    keysA.every(function (key) {\n                        return looseEqual(a[key], b[key]);\n                    }));\n            }\n            else {\n                /* istanbul ignore next */\n                return false;\n            }\n        }\n        catch (e) {\n            /* istanbul ignore next */\n            return false;\n        }\n    }\n    else if (!isObjectA && !isObjectB) {\n        return String(a) === String(b);\n    }\n    else {\n        return false;\n    }\n}\n/**\n * Return the first index at which a loosely equal value can be\n * found in the array (if value is a plain object, the array must\n * contain an object of the same shape), or -1 if it is not present.\n */\nfunction looseIndexOf(arr, val) {\n    for (var i = 0; i < arr.length; i++) {\n        if (looseEqual(arr[i], val))\n            return i;\n    }\n    return -1;\n}\n/**\n * Ensure a function is called only once.\n */\nfunction once(fn) {\n    var called = false;\n    return function () {\n        if (!called) {\n            called = true;\n            fn.apply(this, arguments);\n        }\n    };\n}\n// https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Object/is#polyfill\nfunction hasChanged(x, y) {\n    if (x === y) {\n        return x === 0 && 1 / x !== 1 / y;\n    }\n    else {\n        return x === x || y === y;\n    }\n}\n\nvar SSR_ATTR = 'data-server-rendered';\nvar ASSET_TYPES = ['component', 'directive', 'filter'];\nvar LIFECYCLE_HOOKS = [\n    'beforeCreate',\n    'created',\n    'beforeMount',\n    'mounted',\n    'beforeUpdate',\n    'updated',\n    'beforeDestroy',\n    'destroyed',\n    'activated',\n    'deactivated',\n    'errorCaptured',\n    'serverPrefetch',\n    'renderTracked',\n    'renderTriggered'\n];\n\nvar config = {\n    /**\n     * Option merge strategies (used in core/util/options)\n     */\n    // $flow-disable-line\n    optionMergeStrategies: Object.create(null),\n    /**\n     * Whether to suppress warnings.\n     */\n    silent: false,\n    /**\n     * Show production mode tip message on boot?\n     */\n    productionTip: process.env.NODE_ENV !== 'production',\n    /**\n     * Whether to enable devtools\n     */\n    devtools: process.env.NODE_ENV !== 'production',\n    /**\n     * Whether to record perf\n     */\n    performance: false,\n    /**\n     * Error handler for watcher errors\n     */\n    errorHandler: null,\n    /**\n     * Warn handler for watcher warns\n     */\n    warnHandler: null,\n    /**\n     * Ignore certain custom elements\n     */\n    ignoredElements: [],\n    /**\n     * Custom user key aliases for v-on\n     */\n    // $flow-disable-line\n    keyCodes: Object.create(null),\n    /**\n     * Check if a tag is reserved so that it cannot be registered as a\n     * component. This is platform-dependent and may be overwritten.\n     */\n    isReservedTag: no,\n    /**\n     * Check if an attribute is reserved so that it cannot be used as a component\n     * prop. This is platform-dependent and may be overwritten.\n     */\n    isReservedAttr: no,\n    /**\n     * Check if a tag is an unknown element.\n     * Platform-dependent.\n     */\n    isUnknownElement: no,\n    /**\n     * Get the namespace of an element\n     */\n    getTagNamespace: noop,\n    /**\n     * Parse the real tag name for the specific platform.\n     */\n    parsePlatformTagName: identity,\n    /**\n     * Check if an attribute must be bound using property, e.g. value\n     * Platform-dependent.\n     */\n    mustUseProp: no,\n    /**\n     * Perform updates asynchronously. Intended to be used by Vue Test Utils\n     * This will significantly reduce performance if set to false.\n     */\n    async: true,\n    /**\n     * Exposed for legacy reasons\n     */\n    _lifecycleHooks: LIFECYCLE_HOOKS\n};\n\n/**\n * unicode letters used for parsing html tags, component names and property paths.\n * using https://www.w3.org/TR/html53/semantics-scripting.html#potentialcustomelementname\n * skipping \\u10000-\\uEFFFF due to it freezing up PhantomJS\n */\nvar unicodeRegExp = /a-zA-Z\\u00B7\\u00C0-\\u00D6\\u00D8-\\u00F6\\u00F8-\\u037D\\u037F-\\u1FFF\\u200C-\\u200D\\u203F-\\u2040\\u2070-\\u218F\\u2C00-\\u2FEF\\u3001-\\uD7FF\\uF900-\\uFDCF\\uFDF0-\\uFFFD/;\n/**\n * Check if a string starts with $ or _\n */\nfunction isReserved(str) {\n    var c = (str + '').charCodeAt(0);\n    return c === 0x24 || c === 0x5f;\n}\n/**\n * Define a property.\n */\nfunction def(obj, key, val, enumerable) {\n    Object.defineProperty(obj, key, {\n        value: val,\n        enumerable: !!enumerable,\n        writable: true,\n        configurable: true\n    });\n}\n/**\n * Parse simple path.\n */\nvar bailRE = new RegExp(\"[^\".concat(unicodeRegExp.source, \".$_\\\\d]\"));\nfunction parsePath(path) {\n    if (bailRE.test(path)) {\n        return;\n    }\n    var segments = path.split('.');\n    return function (obj) {\n        for (var i = 0; i < segments.length; i++) {\n            if (!obj)\n                return;\n            obj = obj[segments[i]];\n        }\n        return obj;\n    };\n}\n\n// can we use __proto__?\nvar hasProto = '__proto__' in {};\n// Browser environment sniffing\nvar inBrowser = typeof window !== 'undefined';\nvar UA = inBrowser && window.navigator.userAgent.toLowerCase();\nvar isIE = UA && /msie|trident/.test(UA);\nvar isIE9 = UA && UA.indexOf('msie 9.0') > 0;\nvar isEdge = UA && UA.indexOf('edge/') > 0;\nUA && UA.indexOf('android') > 0;\nvar isIOS = UA && /iphone|ipad|ipod|ios/.test(UA);\nUA && /chrome\\/\\d+/.test(UA) && !isEdge;\nUA && /phantomjs/.test(UA);\nvar isFF = UA && UA.match(/firefox\\/(\\d+)/);\n// Firefox has a \"watch\" function on Object.prototype...\n// @ts-expect-error firebox support\nvar nativeWatch = {}.watch;\nvar supportsPassive = false;\nif (inBrowser) {\n    try {\n        var opts = {};\n        Object.defineProperty(opts, 'passive', {\n            get: function () {\n                /* istanbul ignore next */\n                supportsPassive = true;\n            }\n        }); // https://github.com/facebook/flow/issues/285\n        window.addEventListener('test-passive', null, opts);\n    }\n    catch (e) { }\n}\n// this needs to be lazy-evaled because vue may be required before\n// vue-server-renderer can set VUE_ENV\nvar _isServer;\nvar isServerRendering = function () {\n    if (_isServer === undefined) {\n        /* istanbul ignore if */\n        if (!inBrowser && typeof global !== 'undefined') {\n            // detect presence of vue-server-renderer and avoid\n            // Webpack shimming the process\n            _isServer =\n                global['process'] && global['process'].env.VUE_ENV === 'server';\n        }\n        else {\n            _isServer = false;\n        }\n    }\n    return _isServer;\n};\n// detect devtools\nvar devtools = inBrowser && window.__VUE_DEVTOOLS_GLOBAL_HOOK__;\n/* istanbul ignore next */\nfunction isNative(Ctor) {\n    return typeof Ctor === 'function' && /native code/.test(Ctor.toString());\n}\nvar hasSymbol = typeof Symbol !== 'undefined' &&\n    isNative(Symbol) &&\n    typeof Reflect !== 'undefined' &&\n    isNative(Reflect.ownKeys);\nvar _Set; // $flow-disable-line\n/* istanbul ignore if */ if (typeof Set !== 'undefined' && isNative(Set)) {\n    // use native Set when available.\n    _Set = Set;\n}\nelse {\n    // a non-standard Set polyfill that only works with primitive keys.\n    _Set = /** @class */ (function () {\n        function Set() {\n            this.set = Object.create(null);\n        }\n        Set.prototype.has = function (key) {\n            return this.set[key] === true;\n        };\n        Set.prototype.add = function (key) {\n            this.set[key] = true;\n        };\n        Set.prototype.clear = function () {\n            this.set = Object.create(null);\n        };\n        return Set;\n    }());\n}\n\nvar currentInstance = null;\n/**\n * This is exposed for compatibility with v3 (e.g. some functions in VueUse\n * relies on it). Do not use this internally, just use `currentInstance`.\n *\n * @internal this function needs manual type declaration because it relies\n * on previously manually authored types from Vue 2\n */\nfunction getCurrentInstance() {\n    return currentInstance && { proxy: currentInstance };\n}\n/**\n * @internal\n */\nfunction setCurrentInstance(vm) {\n    if (vm === void 0) { vm = null; }\n    if (!vm)\n        currentInstance && currentInstance._scope.off();\n    currentInstance = vm;\n    vm && vm._scope.on();\n}\n\n/**\n * @internal\n */\nvar VNode = /** @class */ (function () {\n    function VNode(tag, data, children, text, elm, context, componentOptions, asyncFactory) {\n        this.tag = tag;\n        this.data = data;\n        this.children = children;\n        this.text = text;\n        this.elm = elm;\n        this.ns = undefined;\n        this.context = context;\n        this.fnContext = undefined;\n        this.fnOptions = undefined;\n        this.fnScopeId = undefined;\n        this.key = data && data.key;\n        this.componentOptions = componentOptions;\n        this.componentInstance = undefined;\n        this.parent = undefined;\n        this.raw = false;\n        this.isStatic = false;\n        this.isRootInsert = true;\n        this.isComment = false;\n        this.isCloned = false;\n        this.isOnce = false;\n        this.asyncFactory = asyncFactory;\n        this.asyncMeta = undefined;\n        this.isAsyncPlaceholder = false;\n    }\n    Object.defineProperty(VNode.prototype, \"child\", {\n        // DEPRECATED: alias for componentInstance for backwards compat.\n        /* istanbul ignore next */\n        get: function () {\n            return this.componentInstance;\n        },\n        enumerable: false,\n        configurable: true\n    });\n    return VNode;\n}());\nvar createEmptyVNode = function (text) {\n    if (text === void 0) { text = ''; }\n    var node = new VNode();\n    node.text = text;\n    node.isComment = true;\n    return node;\n};\nfunction createTextVNode(val) {\n    return new VNode(undefined, undefined, undefined, String(val));\n}\n// optimized shallow clone\n// used for static nodes and slot nodes because they may be reused across\n// multiple renders, cloning them avoids errors when DOM manipulations rely\n// on their elm reference.\nfunction cloneVNode(vnode) {\n    var cloned = new VNode(vnode.tag, vnode.data, \n    // #7975\n    // clone children array to avoid mutating original in case of cloning\n    // a child.\n    vnode.children && vnode.children.slice(), vnode.text, vnode.elm, vnode.context, vnode.componentOptions, vnode.asyncFactory);\n    cloned.ns = vnode.ns;\n    cloned.isStatic = vnode.isStatic;\n    cloned.key = vnode.key;\n    cloned.isComment = vnode.isComment;\n    cloned.fnContext = vnode.fnContext;\n    cloned.fnOptions = vnode.fnOptions;\n    cloned.fnScopeId = vnode.fnScopeId;\n    cloned.asyncMeta = vnode.asyncMeta;\n    cloned.isCloned = true;\n    return cloned;\n}\n\n/******************************************************************************\r\nCopyright (c) Microsoft Corporation.\r\n\r\nPermission to use, copy, modify, and/or distribute this software for any\r\npurpose with or without fee is hereby granted.\r\n\r\nTHE SOFTWARE IS PROVIDED \"AS IS\" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH\r\nREGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY\r\nAND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT,\r\nINDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM\r\nLOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR\r\nOTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR\r\nPERFORMANCE OF THIS SOFTWARE.\r\n***************************************************************************** */\r\n\r\nvar __assign = function() {\r\n    __assign = Object.assign || function __assign(t) {\r\n        for (var s, i = 1, n = arguments.length; i < n; i++) {\r\n            s = arguments[i];\r\n            for (var p in s) if (Object.prototype.hasOwnProperty.call(s, p)) t[p] = s[p];\r\n        }\r\n        return t;\r\n    };\r\n    return __assign.apply(this, arguments);\r\n};\n\nvar uid$2 = 0;\nvar pendingCleanupDeps = [];\nvar cleanupDeps = function () {\n    for (var i = 0; i < pendingCleanupDeps.length; i++) {\n        var dep = pendingCleanupDeps[i];\n        dep.subs = dep.subs.filter(function (s) { return s; });\n        dep._pending = false;\n    }\n    pendingCleanupDeps.length = 0;\n};\n/**\n * A dep is an observable that can have multiple\n * directives subscribing to it.\n * @internal\n */\nvar Dep = /** @class */ (function () {\n    function Dep() {\n        // pending subs cleanup\n        this._pending = false;\n        this.id = uid$2++;\n        this.subs = [];\n    }\n    Dep.prototype.addSub = function (sub) {\n        this.subs.push(sub);\n    };\n    Dep.prototype.removeSub = function (sub) {\n        // #12696 deps with massive amount of subscribers are extremely slow to\n        // clean up in Chromium\n        // to workaround this, we unset the sub for now, and clear them on\n        // next scheduler flush.\n        this.subs[this.subs.indexOf(sub)] = null;\n        if (!this._pending) {\n            this._pending = true;\n            pendingCleanupDeps.push(this);\n        }\n    };\n    Dep.prototype.depend = function (info) {\n        if (Dep.target) {\n            Dep.target.addDep(this);\n            if (process.env.NODE_ENV !== 'production' && info && Dep.target.onTrack) {\n                Dep.target.onTrack(__assign({ effect: Dep.target }, info));\n            }\n        }\n    };\n    Dep.prototype.notify = function (info) {\n        // stabilize the subscriber list first\n        var subs = this.subs.filter(function (s) { return s; });\n        if (process.env.NODE_ENV !== 'production' && !config.async) {\n            // subs aren't sorted in scheduler if not running async\n            // we need to sort them now to make sure they fire in correct\n            // order\n            subs.sort(function (a, b) { return a.id - b.id; });\n        }\n        for (var i = 0, l = subs.length; i < l; i++) {\n            var sub = subs[i];\n            if (process.env.NODE_ENV !== 'production' && info) {\n                sub.onTrigger &&\n                    sub.onTrigger(__assign({ effect: subs[i] }, info));\n            }\n            sub.update();\n        }\n    };\n    return Dep;\n}());\n// The current target watcher being evaluated.\n// This is globally unique because only one watcher\n// can be evaluated at a time.\nDep.target = null;\nvar targetStack = [];\nfunction pushTarget(target) {\n    targetStack.push(target);\n    Dep.target = target;\n}\nfunction popTarget() {\n    targetStack.pop();\n    Dep.target = targetStack[targetStack.length - 1];\n}\n\n/*\n * not type checking this file because flow doesn't play well with\n * dynamically accessing methods on Array prototype\n */\nvar arrayProto = Array.prototype;\nvar arrayMethods = Object.create(arrayProto);\nvar methodsToPatch = [\n    'push',\n    'pop',\n    'shift',\n    'unshift',\n    'splice',\n    'sort',\n    'reverse'\n];\n/**\n * Intercept mutating methods and emit events\n */\nmethodsToPatch.forEach(function (method) {\n    // cache original method\n    var original = arrayProto[method];\n    def(arrayMethods, method, function mutator() {\n        var args = [];\n        for (var _i = 0; _i < arguments.length; _i++) {\n            args[_i] = arguments[_i];\n        }\n        var result = original.apply(this, args);\n        var ob = this.__ob__;\n        var inserted;\n        switch (method) {\n            case 'push':\n            case 'unshift':\n                inserted = args;\n                break;\n            case 'splice':\n                inserted = args.slice(2);\n                break;\n        }\n        if (inserted)\n            ob.observeArray(inserted);\n        // notify change\n        if (process.env.NODE_ENV !== 'production') {\n            ob.dep.notify({\n                type: \"array mutation\" /* TriggerOpTypes.ARRAY_MUTATION */,\n                target: this,\n                key: method\n            });\n        }\n        else {\n            ob.dep.notify();\n        }\n        return result;\n    });\n});\n\nvar arrayKeys = Object.getOwnPropertyNames(arrayMethods);\nvar NO_INIITIAL_VALUE = {};\n/**\n * In some cases we may want to disable observation inside a component's\n * update computation.\n */\nvar shouldObserve = true;\nfunction toggleObserving(value) {\n    shouldObserve = value;\n}\n// ssr mock dep\nvar mockDep = {\n    notify: noop,\n    depend: noop,\n    addSub: noop,\n    removeSub: noop\n};\n/**\n * Observer class that is attached to each observed\n * object. Once attached, the observer converts the target\n * object's property keys into getter/setters that\n * collect dependencies and dispatch updates.\n */\nvar Observer = /** @class */ (function () {\n    function Observer(value, shallow, mock) {\n        if (shallow === void 0) { shallow = false; }\n        if (mock === void 0) { mock = false; }\n        this.value = value;\n        this.shallow = shallow;\n        this.mock = mock;\n        // this.value = value\n        this.dep = mock ? mockDep : new Dep();\n        this.vmCount = 0;\n        def(value, '__ob__', this);\n        if (isArray(value)) {\n            if (!mock) {\n                if (hasProto) {\n                    value.__proto__ = arrayMethods;\n                    /* eslint-enable no-proto */\n                }\n                else {\n                    for (var i = 0, l = arrayKeys.length; i < l; i++) {\n                        var key = arrayKeys[i];\n                        def(value, key, arrayMethods[key]);\n                    }\n                }\n            }\n            if (!shallow) {\n                this.observeArray(value);\n            }\n        }\n        else {\n            /**\n             * Walk through all properties and convert them into\n             * getter/setters. This method should only be called when\n             * value type is Object.\n             */\n            var keys = Object.keys(value);\n            for (var i = 0; i < keys.length; i++) {\n                var key = keys[i];\n                defineReactive(value, key, NO_INIITIAL_VALUE, undefined, shallow, mock);\n            }\n        }\n    }\n    /**\n     * Observe a list of Array items.\n     */\n    Observer.prototype.observeArray = function (value) {\n        for (var i = 0, l = value.length; i < l; i++) {\n            observe(value[i], false, this.mock);\n        }\n    };\n    return Observer;\n}());\n// helpers\n/**\n * Attempt to create an observer instance for a value,\n * returns the new observer if successfully observed,\n * or the existing observer if the value already has one.\n */\nfunction observe(value, shallow, ssrMockReactivity) {\n    if (value && hasOwn(value, '__ob__') && value.__ob__ instanceof Observer) {\n        return value.__ob__;\n    }\n    if (shouldObserve &&\n        (ssrMockReactivity || !isServerRendering()) &&\n        (isArray(value) || isPlainObject(value)) &&\n        Object.isExtensible(value) &&\n        !value.__v_skip /* ReactiveFlags.SKIP */ &&\n        !isRef(value) &&\n        !(value instanceof VNode)) {\n        return new Observer(value, shallow, ssrMockReactivity);\n    }\n}\n/**\n * Define a reactive property on an Object.\n */\nfunction defineReactive(obj, key, val, customSetter, shallow, mock) {\n    var dep = new Dep();\n    var property = Object.getOwnPropertyDescriptor(obj, key);\n    if (property && property.configurable === false) {\n        return;\n    }\n    // cater for pre-defined getter/setters\n    var getter = property && property.get;\n    var setter = property && property.set;\n    if ((!getter || setter) &&\n        (val === NO_INIITIAL_VALUE || arguments.length === 2)) {\n        val = obj[key];\n    }\n    var childOb = !shallow && observe(val, false, mock);\n    Object.defineProperty(obj, key, {\n        enumerable: true,\n        configurable: true,\n        get: function reactiveGetter() {\n            var value = getter ? getter.call(obj) : val;\n            if (Dep.target) {\n                if (process.env.NODE_ENV !== 'production') {\n                    dep.depend({\n                        target: obj,\n                        type: \"get\" /* TrackOpTypes.GET */,\n                        key: key\n                    });\n                }\n                else {\n                    dep.depend();\n                }\n                if (childOb) {\n                    childOb.dep.depend();\n                    if (isArray(value)) {\n                        dependArray(value);\n                    }\n                }\n            }\n            return isRef(value) && !shallow ? value.value : value;\n        },\n        set: function reactiveSetter(newVal) {\n            var value = getter ? getter.call(obj) : val;\n            if (!hasChanged(value, newVal)) {\n                return;\n            }\n            if (process.env.NODE_ENV !== 'production' && customSetter) {\n                customSetter();\n            }\n            if (setter) {\n                setter.call(obj, newVal);\n            }\n            else if (getter) {\n                // #7981: for accessor properties without setter\n                return;\n            }\n            else if (!shallow && isRef(value) && !isRef(newVal)) {\n                value.value = newVal;\n                return;\n            }\n            else {\n                val = newVal;\n            }\n            childOb = !shallow && observe(newVal, false, mock);\n            if (process.env.NODE_ENV !== 'production') {\n                dep.notify({\n                    type: \"set\" /* TriggerOpTypes.SET */,\n                    target: obj,\n                    key: key,\n                    newValue: newVal,\n                    oldValue: value\n                });\n            }\n            else {\n                dep.notify();\n            }\n        }\n    });\n    return dep;\n}\nfunction set(target, key, val) {\n    if (process.env.NODE_ENV !== 'production' && (isUndef(target) || isPrimitive(target))) {\n        warn(\"Cannot set reactive property on undefined, null, or primitive value: \".concat(target));\n    }\n    if (isReadonly(target)) {\n        process.env.NODE_ENV !== 'production' && warn(\"Set operation on key \\\"\".concat(key, \"\\\" failed: target is readonly.\"));\n        return;\n    }\n    var ob = target.__ob__;\n    if (isArray(target) && isValidArrayIndex(key)) {\n        target.length = Math.max(target.length, key);\n        target.splice(key, 1, val);\n        // when mocking for SSR, array methods are not hijacked\n        if (ob && !ob.shallow && ob.mock) {\n            observe(val, false, true);\n        }\n        return val;\n    }\n    if (key in target && !(key in Object.prototype)) {\n        target[key] = val;\n        return val;\n    }\n    if (target._isVue || (ob && ob.vmCount)) {\n        process.env.NODE_ENV !== 'production' &&\n            warn('Avoid adding reactive properties to a Vue instance or its root $data ' +\n                'at runtime - declare it upfront in the data option.');\n        return val;\n    }\n    if (!ob) {\n        target[key] = val;\n        return val;\n    }\n    defineReactive(ob.value, key, val, undefined, ob.shallow, ob.mock);\n    if (process.env.NODE_ENV !== 'production') {\n        ob.dep.notify({\n            type: \"add\" /* TriggerOpTypes.ADD */,\n            target: target,\n            key: key,\n            newValue: val,\n            oldValue: undefined\n        });\n    }\n    else {\n        ob.dep.notify();\n    }\n    return val;\n}\nfunction del(target, key) {\n    if (process.env.NODE_ENV !== 'production' && (isUndef(target) || isPrimitive(target))) {\n        warn(\"Cannot delete reactive property on undefined, null, or primitive value: \".concat(target));\n    }\n    if (isArray(target) && isValidArrayIndex(key)) {\n        target.splice(key, 1);\n        return;\n    }\n    var ob = target.__ob__;\n    if (target._isVue || (ob && ob.vmCount)) {\n        process.env.NODE_ENV !== 'production' &&\n            warn('Avoid deleting properties on a Vue instance or its root $data ' +\n                '- just set it to null.');\n        return;\n    }\n    if (isReadonly(target)) {\n        process.env.NODE_ENV !== 'production' &&\n            warn(\"Delete operation on key \\\"\".concat(key, \"\\\" failed: target is readonly.\"));\n        return;\n    }\n    if (!hasOwn(target, key)) {\n        return;\n    }\n    delete target[key];\n    if (!ob) {\n        return;\n    }\n    if (process.env.NODE_ENV !== 'production') {\n        ob.dep.notify({\n            type: \"delete\" /* TriggerOpTypes.DELETE */,\n            target: target,\n            key: key\n        });\n    }\n    else {\n        ob.dep.notify();\n    }\n}\n/**\n * Collect dependencies on array elements when the array is touched, since\n * we cannot intercept array element access like property getters.\n */\nfunction dependArray(value) {\n    for (var e = void 0, i = 0, l = value.length; i < l; i++) {\n        e = value[i];\n        if (e && e.__ob__) {\n            e.__ob__.dep.depend();\n        }\n        if (isArray(e)) {\n            dependArray(e);\n        }\n    }\n}\n\nfunction reactive(target) {\n    makeReactive(target, false);\n    return target;\n}\n/**\n * Return a shallowly-reactive copy of the original object, where only the root\n * level properties are reactive. It also does not auto-unwrap refs (even at the\n * root level).\n */\nfunction shallowReactive(target) {\n    makeReactive(target, true);\n    def(target, \"__v_isShallow\" /* ReactiveFlags.IS_SHALLOW */, true);\n    return target;\n}\nfunction makeReactive(target, shallow) {\n    // if trying to observe a readonly proxy, return the readonly version.\n    if (!isReadonly(target)) {\n        if (process.env.NODE_ENV !== 'production') {\n            if (isArray(target)) {\n                warn(\"Avoid using Array as root value for \".concat(shallow ? \"shallowReactive()\" : \"reactive()\", \" as it cannot be tracked in watch() or watchEffect(). Use \").concat(shallow ? \"shallowRef()\" : \"ref()\", \" instead. This is a Vue-2-only limitation.\"));\n            }\n            var existingOb = target && target.__ob__;\n            if (existingOb && existingOb.shallow !== shallow) {\n                warn(\"Target is already a \".concat(existingOb.shallow ? \"\" : \"non-\", \"shallow reactive object, and cannot be converted to \").concat(shallow ? \"\" : \"non-\", \"shallow.\"));\n            }\n        }\n        var ob = observe(target, shallow, isServerRendering() /* ssr mock reactivity */);\n        if (process.env.NODE_ENV !== 'production' && !ob) {\n            if (target == null || isPrimitive(target)) {\n                warn(\"value cannot be made reactive: \".concat(String(target)));\n            }\n            if (isCollectionType(target)) {\n                warn(\"Vue 2 does not support reactive collection types such as Map or Set.\");\n            }\n        }\n    }\n}\nfunction isReactive(value) {\n    if (isReadonly(value)) {\n        return isReactive(value[\"__v_raw\" /* ReactiveFlags.RAW */]);\n    }\n    return !!(value && value.__ob__);\n}\nfunction isShallow(value) {\n    return !!(value && value.__v_isShallow);\n}\nfunction isReadonly(value) {\n    return !!(value && value.__v_isReadonly);\n}\nfunction isProxy(value) {\n    return isReactive(value) || isReadonly(value);\n}\nfunction toRaw(observed) {\n    var raw = observed && observed[\"__v_raw\" /* ReactiveFlags.RAW */];\n    return raw ? toRaw(raw) : observed;\n}\nfunction markRaw(value) {\n    // non-extensible objects won't be observed anyway\n    if (Object.isExtensible(value)) {\n        def(value, \"__v_skip\" /* ReactiveFlags.SKIP */, true);\n    }\n    return value;\n}\n/**\n * @internal\n */\nfunction isCollectionType(value) {\n    var type = toRawType(value);\n    return (type === 'Map' || type === 'WeakMap' || type === 'Set' || type === 'WeakSet');\n}\n\n/**\n * @internal\n */\nvar RefFlag = \"__v_isRef\";\nfunction isRef(r) {\n    return !!(r && r.__v_isRef === true);\n}\nfunction ref$1(value) {\n    return createRef(value, false);\n}\nfunction shallowRef(value) {\n    return createRef(value, true);\n}\nfunction createRef(rawValue, shallow) {\n    if (isRef(rawValue)) {\n        return rawValue;\n    }\n    var ref = {};\n    def(ref, RefFlag, true);\n    def(ref, \"__v_isShallow\" /* ReactiveFlags.IS_SHALLOW */, shallow);\n    def(ref, 'dep', defineReactive(ref, 'value', rawValue, null, shallow, isServerRendering()));\n    return ref;\n}\nfunction triggerRef(ref) {\n    if (process.env.NODE_ENV !== 'production' && !ref.dep) {\n        warn(\"received object is not a triggerable ref.\");\n    }\n    if (process.env.NODE_ENV !== 'production') {\n        ref.dep &&\n            ref.dep.notify({\n                type: \"set\" /* TriggerOpTypes.SET */,\n                target: ref,\n                key: 'value'\n            });\n    }\n    else {\n        ref.dep && ref.dep.notify();\n    }\n}\nfunction unref(ref) {\n    return isRef(ref) ? ref.value : ref;\n}\nfunction proxyRefs(objectWithRefs) {\n    if (isReactive(objectWithRefs)) {\n        return objectWithRefs;\n    }\n    var proxy = {};\n    var keys = Object.keys(objectWithRefs);\n    for (var i = 0; i < keys.length; i++) {\n        proxyWithRefUnwrap(proxy, objectWithRefs, keys[i]);\n    }\n    return proxy;\n}\nfunction proxyWithRefUnwrap(target, source, key) {\n    Object.defineProperty(target, key, {\n        enumerable: true,\n        configurable: true,\n        get: function () {\n            var val = source[key];\n            if (isRef(val)) {\n                return val.value;\n            }\n            else {\n                var ob = val && val.__ob__;\n                if (ob)\n                    ob.dep.depend();\n                return val;\n            }\n        },\n        set: function (value) {\n            var oldValue = source[key];\n            if (isRef(oldValue) && !isRef(value)) {\n                oldValue.value = value;\n            }\n            else {\n                source[key] = value;\n            }\n        }\n    });\n}\nfunction customRef(factory) {\n    var dep = new Dep();\n    var _a = factory(function () {\n        if (process.env.NODE_ENV !== 'production') {\n            dep.depend({\n                target: ref,\n                type: \"get\" /* TrackOpTypes.GET */,\n                key: 'value'\n            });\n        }\n        else {\n            dep.depend();\n        }\n    }, function () {\n        if (process.env.NODE_ENV !== 'production') {\n            dep.notify({\n                target: ref,\n                type: \"set\" /* TriggerOpTypes.SET */,\n                key: 'value'\n            });\n        }\n        else {\n            dep.notify();\n        }\n    }), get = _a.get, set = _a.set;\n    var ref = {\n        get value() {\n            return get();\n        },\n        set value(newVal) {\n            set(newVal);\n        }\n    };\n    def(ref, RefFlag, true);\n    return ref;\n}\nfunction toRefs(object) {\n    if (process.env.NODE_ENV !== 'production' && !isReactive(object)) {\n        warn(\"toRefs() expects a reactive object but received a plain one.\");\n    }\n    var ret = isArray(object) ? new Array(object.length) : {};\n    for (var key in object) {\n        ret[key] = toRef(object, key);\n    }\n    return ret;\n}\nfunction toRef(object, key, defaultValue) {\n    var val = object[key];\n    if (isRef(val)) {\n        return val;\n    }\n    var ref = {\n        get value() {\n            var val = object[key];\n            return val === undefined ? defaultValue : val;\n        },\n        set value(newVal) {\n            object[key] = newVal;\n        }\n    };\n    def(ref, RefFlag, true);\n    return ref;\n}\n\nvar rawToReadonlyFlag = \"__v_rawToReadonly\";\nvar rawToShallowReadonlyFlag = \"__v_rawToShallowReadonly\";\nfunction readonly(target) {\n    return createReadonly(target, false);\n}\nfunction createReadonly(target, shallow) {\n    if (!isPlainObject(target)) {\n        if (process.env.NODE_ENV !== 'production') {\n            if (isArray(target)) {\n                warn(\"Vue 2 does not support readonly arrays.\");\n            }\n            else if (isCollectionType(target)) {\n                warn(\"Vue 2 does not support readonly collection types such as Map or Set.\");\n            }\n            else {\n                warn(\"value cannot be made readonly: \".concat(typeof target));\n            }\n        }\n        return target;\n    }\n    if (process.env.NODE_ENV !== 'production' && !Object.isExtensible(target)) {\n        warn(\"Vue 2 does not support creating readonly proxy for non-extensible object.\");\n    }\n    // already a readonly object\n    if (isReadonly(target)) {\n        return target;\n    }\n    // already has a readonly proxy\n    var existingFlag = shallow ? rawToShallowReadonlyFlag : rawToReadonlyFlag;\n    var existingProxy = target[existingFlag];\n    if (existingProxy) {\n        return existingProxy;\n    }\n    var proxy = Object.create(Object.getPrototypeOf(target));\n    def(target, existingFlag, proxy);\n    def(proxy, \"__v_isReadonly\" /* ReactiveFlags.IS_READONLY */, true);\n    def(proxy, \"__v_raw\" /* ReactiveFlags.RAW */, target);\n    if (isRef(target)) {\n        def(proxy, RefFlag, true);\n    }\n    if (shallow || isShallow(target)) {\n        def(proxy, \"__v_isShallow\" /* ReactiveFlags.IS_SHALLOW */, true);\n    }\n    var keys = Object.keys(target);\n    for (var i = 0; i < keys.length; i++) {\n        defineReadonlyProperty(proxy, target, keys[i], shallow);\n    }\n    return proxy;\n}\nfunction defineReadonlyProperty(proxy, target, key, shallow) {\n    Object.defineProperty(proxy, key, {\n        enumerable: true,\n        configurable: true,\n        get: function () {\n            var val = target[key];\n            return shallow || !isPlainObject(val) ? val : readonly(val);\n        },\n        set: function () {\n            process.env.NODE_ENV !== 'production' &&\n                warn(\"Set operation on key \\\"\".concat(key, \"\\\" failed: target is readonly.\"));\n        }\n    });\n}\n/**\n * Returns a reactive-copy of the original object, where only the root level\n * properties are readonly, and does NOT unwrap refs nor recursively convert\n * returned properties.\n * This is used for creating the props proxy object for stateful components.\n */\nfunction shallowReadonly(target) {\n    return createReadonly(target, true);\n}\n\nfunction computed(getterOrOptions, debugOptions) {\n    var getter;\n    var setter;\n    var onlyGetter = isFunction(getterOrOptions);\n    if (onlyGetter) {\n        getter = getterOrOptions;\n        setter = process.env.NODE_ENV !== 'production'\n            ? function () {\n                warn('Write operation failed: computed value is readonly');\n            }\n            : noop;\n    }\n    else {\n        getter = getterOrOptions.get;\n        setter = getterOrOptions.set;\n    }\n    var watcher = isServerRendering()\n        ? null\n        : new Watcher(currentInstance, getter, noop, { lazy: true });\n    if (process.env.NODE_ENV !== 'production' && watcher && debugOptions) {\n        watcher.onTrack = debugOptions.onTrack;\n        watcher.onTrigger = debugOptions.onTrigger;\n    }\n    var ref = {\n        // some libs rely on the presence effect for checking computed refs\n        // from normal refs, but the implementation doesn't matter\n        effect: watcher,\n        get value() {\n            if (watcher) {\n                if (watcher.dirty) {\n                    watcher.evaluate();\n                }\n                if (Dep.target) {\n                    if (process.env.NODE_ENV !== 'production' && Dep.target.onTrack) {\n                        Dep.target.onTrack({\n                            effect: Dep.target,\n                            target: ref,\n                            type: \"get\" /* TrackOpTypes.GET */,\n                            key: 'value'\n                        });\n                    }\n                    watcher.depend();\n                }\n                return watcher.value;\n            }\n            else {\n                return getter();\n            }\n        },\n        set value(newVal) {\n            setter(newVal);\n        }\n    };\n    def(ref, RefFlag, true);\n    def(ref, \"__v_isReadonly\" /* ReactiveFlags.IS_READONLY */, onlyGetter);\n    return ref;\n}\n\nvar WATCHER = \"watcher\";\nvar WATCHER_CB = \"\".concat(WATCHER, \" callback\");\nvar WATCHER_GETTER = \"\".concat(WATCHER, \" getter\");\nvar WATCHER_CLEANUP = \"\".concat(WATCHER, \" cleanup\");\n// Simple effect.\nfunction watchEffect(effect, options) {\n    return doWatch(effect, null, options);\n}\nfunction watchPostEffect(effect, options) {\n    return doWatch(effect, null, (process.env.NODE_ENV !== 'production'\n        ? __assign(__assign({}, options), { flush: 'post' }) : { flush: 'post' }));\n}\nfunction watchSyncEffect(effect, options) {\n    return doWatch(effect, null, (process.env.NODE_ENV !== 'production'\n        ? __assign(__assign({}, options), { flush: 'sync' }) : { flush: 'sync' }));\n}\n// initial value for watchers to trigger on undefined initial values\nvar INITIAL_WATCHER_VALUE = {};\n// implementation\nfunction watch(source, cb, options) {\n    if (process.env.NODE_ENV !== 'production' && typeof cb !== 'function') {\n        warn(\"`watch(fn, options?)` signature has been moved to a separate API. \" +\n            \"Use `watchEffect(fn, options?)` instead. `watch` now only \" +\n            \"supports `watch(source, cb, options?) signature.\");\n    }\n    return doWatch(source, cb, options);\n}\nfunction doWatch(source, cb, _a) {\n    var _b = _a === void 0 ? emptyObject : _a, immediate = _b.immediate, deep = _b.deep, _c = _b.flush, flush = _c === void 0 ? 'pre' : _c, onTrack = _b.onTrack, onTrigger = _b.onTrigger;\n    if (process.env.NODE_ENV !== 'production' && !cb) {\n        if (immediate !== undefined) {\n            warn(\"watch() \\\"immediate\\\" option is only respected when using the \" +\n                \"watch(source, callback, options?) signature.\");\n        }\n        if (deep !== undefined) {\n            warn(\"watch() \\\"deep\\\" option is only respected when using the \" +\n                \"watch(source, callback, options?) signature.\");\n        }\n    }\n    var warnInvalidSource = function (s) {\n        warn(\"Invalid watch source: \".concat(s, \". A watch source can only be a getter/effect \") +\n            \"function, a ref, a reactive object, or an array of these types.\");\n    };\n    var instance = currentInstance;\n    var call = function (fn, type, args) {\n        if (args === void 0) { args = null; }\n        return invokeWithErrorHandling(fn, null, args, instance, type);\n    };\n    var getter;\n    var forceTrigger = false;\n    var isMultiSource = false;\n    if (isRef(source)) {\n        getter = function () { return source.value; };\n        forceTrigger = isShallow(source);\n    }\n    else if (isReactive(source)) {\n        getter = function () {\n            source.__ob__.dep.depend();\n            return source;\n        };\n        deep = true;\n    }\n    else if (isArray(source)) {\n        isMultiSource = true;\n        forceTrigger = source.some(function (s) { return isReactive(s) || isShallow(s); });\n        getter = function () {\n            return source.map(function (s) {\n                if (isRef(s)) {\n                    return s.value;\n                }\n                else if (isReactive(s)) {\n                    return traverse(s);\n                }\n                else if (isFunction(s)) {\n                    return call(s, WATCHER_GETTER);\n                }\n                else {\n                    process.env.NODE_ENV !== 'production' && warnInvalidSource(s);\n                }\n            });\n        };\n    }\n    else if (isFunction(source)) {\n        if (cb) {\n            // getter with cb\n            getter = function () { return call(source, WATCHER_GETTER); };\n        }\n        else {\n            // no cb -> simple effect\n            getter = function () {\n                if (instance && instance._isDestroyed) {\n                    return;\n                }\n                if (cleanup) {\n                    cleanup();\n                }\n                return call(source, WATCHER, [onCleanup]);\n            };\n        }\n    }\n    else {\n        getter = noop;\n        process.env.NODE_ENV !== 'production' && warnInvalidSource(source);\n    }\n    if (cb && deep) {\n        var baseGetter_1 = getter;\n        getter = function () { return traverse(baseGetter_1()); };\n    }\n    var cleanup;\n    var onCleanup = function (fn) {\n        cleanup = watcher.onStop = function () {\n            call(fn, WATCHER_CLEANUP);\n        };\n    };\n    // in SSR there is no need to setup an actual effect, and it should be noop\n    // unless it's eager\n    if (isServerRendering()) {\n        // we will also not call the invalidate callback (+ runner is not set up)\n        onCleanup = noop;\n        if (!cb) {\n            getter();\n        }\n        else if (immediate) {\n            call(cb, WATCHER_CB, [\n                getter(),\n                isMultiSource ? [] : undefined,\n                onCleanup\n            ]);\n        }\n        return noop;\n    }\n    var watcher = new Watcher(currentInstance, getter, noop, {\n        lazy: true\n    });\n    watcher.noRecurse = !cb;\n    var oldValue = isMultiSource ? [] : INITIAL_WATCHER_VALUE;\n    // overwrite default run\n    watcher.run = function () {\n        if (!watcher.active) {\n            return;\n        }\n        if (cb) {\n            // watch(source, cb)\n            var newValue = watcher.get();\n            if (deep ||\n                forceTrigger ||\n                (isMultiSource\n                    ? newValue.some(function (v, i) {\n                        return hasChanged(v, oldValue[i]);\n                    })\n                    : hasChanged(newValue, oldValue))) {\n                // cleanup before running cb again\n                if (cleanup) {\n                    cleanup();\n                }\n                call(cb, WATCHER_CB, [\n                    newValue,\n                    // pass undefined as the old value when it's changed for the first time\n                    oldValue === INITIAL_WATCHER_VALUE ? undefined : oldValue,\n                    onCleanup\n                ]);\n                oldValue = newValue;\n            }\n        }\n        else {\n            // watchEffect\n            watcher.get();\n        }\n    };\n    if (flush === 'sync') {\n        watcher.update = watcher.run;\n    }\n    else if (flush === 'post') {\n        watcher.post = true;\n        watcher.update = function () { return queueWatcher(watcher); };\n    }\n    else {\n        // pre\n        watcher.update = function () {\n            if (instance && instance === currentInstance && !instance._isMounted) {\n                // pre-watcher triggered before\n                var buffer = instance._preWatchers || (instance._preWatchers = []);\n                if (buffer.indexOf(watcher) < 0)\n                    buffer.push(watcher);\n            }\n            else {\n                queueWatcher(watcher);\n            }\n        };\n    }\n    if (process.env.NODE_ENV !== 'production') {\n        watcher.onTrack = onTrack;\n        watcher.onTrigger = onTrigger;\n    }\n    // initial run\n    if (cb) {\n        if (immediate) {\n            watcher.run();\n        }\n        else {\n            oldValue = watcher.get();\n        }\n    }\n    else if (flush === 'post' && instance) {\n        instance.$once('hook:mounted', function () { return watcher.get(); });\n    }\n    else {\n        watcher.get();\n    }\n    return function () {\n        watcher.teardown();\n    };\n}\n\nvar activeEffectScope;\nvar EffectScope = /** @class */ (function () {\n    function EffectScope(detached) {\n        if (detached === void 0) { detached = false; }\n        this.detached = detached;\n        /**\n         * @internal\n         */\n        this.active = true;\n        /**\n         * @internal\n         */\n        this.effects = [];\n        /**\n         * @internal\n         */\n        this.cleanups = [];\n        this.parent = activeEffectScope;\n        if (!detached && activeEffectScope) {\n            this.index =\n                (activeEffectScope.scopes || (activeEffectScope.scopes = [])).push(this) - 1;\n        }\n    }\n    EffectScope.prototype.run = function (fn) {\n        if (this.active) {\n            var currentEffectScope = activeEffectScope;\n            try {\n                activeEffectScope = this;\n                return fn();\n            }\n            finally {\n                activeEffectScope = currentEffectScope;\n            }\n        }\n        else if (process.env.NODE_ENV !== 'production') {\n            warn(\"cannot run an inactive effect scope.\");\n        }\n    };\n    /**\n     * This should only be called on non-detached scopes\n     * @internal\n     */\n    EffectScope.prototype.on = function () {\n        activeEffectScope = this;\n    };\n    /**\n     * This should only be called on non-detached scopes\n     * @internal\n     */\n    EffectScope.prototype.off = function () {\n        activeEffectScope = this.parent;\n    };\n    EffectScope.prototype.stop = function (fromParent) {\n        if (this.active) {\n            var i = void 0, l = void 0;\n            for (i = 0, l = this.effects.length; i < l; i++) {\n                this.effects[i].teardown();\n            }\n            for (i = 0, l = this.cleanups.length; i < l; i++) {\n                this.cleanups[i]();\n            }\n            if (this.scopes) {\n                for (i = 0, l = this.scopes.length; i < l; i++) {\n                    this.scopes[i].stop(true);\n                }\n            }\n            // nested scope, dereference from parent to avoid memory leaks\n            if (!this.detached && this.parent && !fromParent) {\n                // optimized O(1) removal\n                var last = this.parent.scopes.pop();\n                if (last && last !== this) {\n                    this.parent.scopes[this.index] = last;\n                    last.index = this.index;\n                }\n            }\n            this.parent = undefined;\n            this.active = false;\n        }\n    };\n    return EffectScope;\n}());\nfunction effectScope(detached) {\n    return new EffectScope(detached);\n}\n/**\n * @internal\n */\nfunction recordEffectScope(effect, scope) {\n    if (scope === void 0) { scope = activeEffectScope; }\n    if (scope && scope.active) {\n        scope.effects.push(effect);\n    }\n}\nfunction getCurrentScope() {\n    return activeEffectScope;\n}\nfunction onScopeDispose(fn) {\n    if (activeEffectScope) {\n        activeEffectScope.cleanups.push(fn);\n    }\n    else if (process.env.NODE_ENV !== 'production') {\n        warn(\"onScopeDispose() is called when there is no active effect scope\" +\n            \" to be associated with.\");\n    }\n}\n\nfunction provide(key, value) {\n    if (!currentInstance) {\n        if (process.env.NODE_ENV !== 'production') {\n            warn(\"provide() can only be used inside setup().\");\n        }\n    }\n    else {\n        // TS doesn't allow symbol as index type\n        resolveProvided(currentInstance)[key] = value;\n    }\n}\nfunction resolveProvided(vm) {\n    // by default an instance inherits its parent's provides object\n    // but when it needs to provide values of its own, it creates its\n    // own provides object using parent provides object as prototype.\n    // this way in `inject` we can simply look up injections from direct\n    // parent and let the prototype chain do the work.\n    var existing = vm._provided;\n    var parentProvides = vm.$parent && vm.$parent._provided;\n    if (parentProvides === existing) {\n        return (vm._provided = Object.create(parentProvides));\n    }\n    else {\n        return existing;\n    }\n}\nfunction inject(key, defaultValue, treatDefaultAsFactory) {\n    if (treatDefaultAsFactory === void 0) { treatDefaultAsFactory = false; }\n    // fallback to `currentRenderingInstance` so that this can be called in\n    // a functional component\n    var instance = currentInstance;\n    if (instance) {\n        // #2400\n        // to support `app.use` plugins,\n        // fallback to appContext's `provides` if the instance is at root\n        var provides = instance.$parent && instance.$parent._provided;\n        if (provides && key in provides) {\n            // TS doesn't allow symbol as index type\n            return provides[key];\n        }\n        else if (arguments.length > 1) {\n            return treatDefaultAsFactory && isFunction(defaultValue)\n                ? defaultValue.call(instance)\n                : defaultValue;\n        }\n        else if (process.env.NODE_ENV !== 'production') {\n            warn(\"injection \\\"\".concat(String(key), \"\\\" not found.\"));\n        }\n    }\n    else if (process.env.NODE_ENV !== 'production') {\n        warn(\"inject() can only be used inside setup() or functional components.\");\n    }\n}\n\nvar normalizeEvent = cached(function (name) {\n    var passive = name.charAt(0) === '&';\n    name = passive ? name.slice(1) : name;\n    var once = name.charAt(0) === '~'; // Prefixed last, checked first\n    name = once ? name.slice(1) : name;\n    var capture = name.charAt(0) === '!';\n    name = capture ? name.slice(1) : name;\n    return {\n        name: name,\n        once: once,\n        capture: capture,\n        passive: passive\n    };\n});\nfunction createFnInvoker(fns, vm) {\n    function invoker() {\n        var fns = invoker.fns;\n        if (isArray(fns)) {\n            var cloned = fns.slice();\n            for (var i = 0; i < cloned.length; i++) {\n                invokeWithErrorHandling(cloned[i], null, arguments, vm, \"v-on handler\");\n            }\n        }\n        else {\n            // return handler return value for single handlers\n            return invokeWithErrorHandling(fns, null, arguments, vm, \"v-on handler\");\n        }\n    }\n    invoker.fns = fns;\n    return invoker;\n}\nfunction updateListeners(on, oldOn, add, remove, createOnceHandler, vm) {\n    var name, cur, old, event;\n    for (name in on) {\n        cur = on[name];\n        old = oldOn[name];\n        event = normalizeEvent(name);\n        if (isUndef(cur)) {\n            process.env.NODE_ENV !== 'production' &&\n                warn(\"Invalid handler for event \\\"\".concat(event.name, \"\\\": got \") + String(cur), vm);\n        }\n        else if (isUndef(old)) {\n            if (isUndef(cur.fns)) {\n                cur = on[name] = createFnInvoker(cur, vm);\n            }\n            if (isTrue(event.once)) {\n                cur = on[name] = createOnceHandler(event.name, cur, event.capture);\n            }\n            add(event.name, cur, event.capture, event.passive, event.params);\n        }\n        else if (cur !== old) {\n            old.fns = cur;\n            on[name] = old;\n        }\n    }\n    for (name in oldOn) {\n        if (isUndef(on[name])) {\n            event = normalizeEvent(name);\n            remove(event.name, oldOn[name], event.capture);\n        }\n    }\n}\n\nfunction mergeVNodeHook(def, hookKey, hook) {\n    if (def instanceof VNode) {\n        def = def.data.hook || (def.data.hook = {});\n    }\n    var invoker;\n    var oldHook = def[hookKey];\n    function wrappedHook() {\n        hook.apply(this, arguments);\n        // important: remove merged hook to ensure it's called only once\n        // and prevent memory leak\n        remove$2(invoker.fns, wrappedHook);\n    }\n    if (isUndef(oldHook)) {\n        // no existing hook\n        invoker = createFnInvoker([wrappedHook]);\n    }\n    else {\n        /* istanbul ignore if */\n        if (isDef(oldHook.fns) && isTrue(oldHook.merged)) {\n            // already a merged invoker\n            invoker = oldHook;\n            invoker.fns.push(wrappedHook);\n        }\n        else {\n            // existing plain hook\n            invoker = createFnInvoker([oldHook, wrappedHook]);\n        }\n    }\n    invoker.merged = true;\n    def[hookKey] = invoker;\n}\n\nfunction extractPropsFromVNodeData(data, Ctor, tag) {\n    // we are only extracting raw values here.\n    // validation and default values are handled in the child\n    // component itself.\n    var propOptions = Ctor.options.props;\n    if (isUndef(propOptions)) {\n        return;\n    }\n    var res = {};\n    var attrs = data.attrs, props = data.props;\n    if (isDef(attrs) || isDef(props)) {\n        for (var key in propOptions) {\n            var altKey = hyphenate(key);\n            if (process.env.NODE_ENV !== 'production') {\n                var keyInLowerCase = key.toLowerCase();\n                if (key !== keyInLowerCase && attrs && hasOwn(attrs, keyInLowerCase)) {\n                    tip(\"Prop \\\"\".concat(keyInLowerCase, \"\\\" is passed to component \") +\n                        \"\".concat(formatComponentName(\n                        // @ts-expect-error tag is string\n                        tag || Ctor), \", but the declared prop name is\") +\n                        \" \\\"\".concat(key, \"\\\". \") +\n                        \"Note that HTML attributes are case-insensitive and camelCased \" +\n                        \"props need to use their kebab-case equivalents when using in-DOM \" +\n                        \"templates. You should probably use \\\"\".concat(altKey, \"\\\" instead of \\\"\").concat(key, \"\\\".\"));\n                }\n            }\n            checkProp(res, props, key, altKey, true) ||\n                checkProp(res, attrs, key, altKey, false);\n        }\n    }\n    return res;\n}\nfunction checkProp(res, hash, key, altKey, preserve) {\n    if (isDef(hash)) {\n        if (hasOwn(hash, key)) {\n            res[key] = hash[key];\n            if (!preserve) {\n                delete hash[key];\n            }\n            return true;\n        }\n        else if (hasOwn(hash, altKey)) {\n            res[key] = hash[altKey];\n            if (!preserve) {\n                delete hash[altKey];\n            }\n            return true;\n        }\n    }\n    return false;\n}\n\n// The template compiler attempts to minimize the need for normalization by\n// statically analyzing the template at compile time.\n//\n// For plain HTML markup, normalization can be completely skipped because the\n// generated render function is guaranteed to return Array<VNode>. There are\n// two cases where extra normalization is needed:\n// 1. When the children contains components - because a functional component\n// may return an Array instead of a single root. In this case, just a simple\n// normalization is needed - if any child is an Array, we flatten the whole\n// thing with Array.prototype.concat. It is guaranteed to be only 1-level deep\n// because functional components already normalize their own children.\nfunction simpleNormalizeChildren(children) {\n    for (var i = 0; i < children.length; i++) {\n        if (isArray(children[i])) {\n            return Array.prototype.concat.apply([], children);\n        }\n    }\n    return children;\n}\n// 2. When the children contains constructs that always generated nested Arrays,\n// e.g. <template>, <slot>, v-for, or when the children is provided by user\n// with hand-written render functions / JSX. In such cases a full normalization\n// is needed to cater to all possible types of children values.\nfunction normalizeChildren(children) {\n    return isPrimitive(children)\n        ? [createTextVNode(children)]\n        : isArray(children)\n            ? normalizeArrayChildren(children)\n            : undefined;\n}\nfunction isTextNode(node) {\n    return isDef(node) && isDef(node.text) && isFalse(node.isComment);\n}\nfunction normalizeArrayChildren(children, nestedIndex) {\n    var res = [];\n    var i, c, lastIndex, last;\n    for (i = 0; i < children.length; i++) {\n        c = children[i];\n        if (isUndef(c) || typeof c === 'boolean')\n            continue;\n        lastIndex = res.length - 1;\n        last = res[lastIndex];\n        //  nested\n        if (isArray(c)) {\n            if (c.length > 0) {\n                c = normalizeArrayChildren(c, \"\".concat(nestedIndex || '', \"_\").concat(i));\n                // merge adjacent text nodes\n                if (isTextNode(c[0]) && isTextNode(last)) {\n                    res[lastIndex] = createTextVNode(last.text + c[0].text);\n                    c.shift();\n                }\n                res.push.apply(res, c);\n            }\n        }\n        else if (isPrimitive(c)) {\n            if (isTextNode(last)) {\n                // merge adjacent text nodes\n                // this is necessary for SSR hydration because text nodes are\n                // essentially merged when rendered to HTML strings\n                res[lastIndex] = createTextVNode(last.text + c);\n            }\n            else if (c !== '') {\n                // convert primitive to vnode\n                res.push(createTextVNode(c));\n            }\n        }\n        else {\n            if (isTextNode(c) && isTextNode(last)) {\n                // merge adjacent text nodes\n                res[lastIndex] = createTextVNode(last.text + c.text);\n            }\n            else {\n                // default key for nested array children (likely generated by v-for)\n                if (isTrue(children._isVList) &&\n                    isDef(c.tag) &&\n                    isUndef(c.key) &&\n                    isDef(nestedIndex)) {\n                    c.key = \"__vlist\".concat(nestedIndex, \"_\").concat(i, \"__\");\n                }\n                res.push(c);\n            }\n        }\n    }\n    return res;\n}\n\n/**\n * Runtime helper for rendering v-for lists.\n */\nfunction renderList(val, render) {\n    var ret = null, i, l, keys, key;\n    if (isArray(val) || typeof val === 'string') {\n        ret = new Array(val.length);\n        for (i = 0, l = val.length; i < l; i++) {\n            ret[i] = render(val[i], i);\n        }\n    }\n    else if (typeof val === 'number') {\n        ret = new Array(val);\n        for (i = 0; i < val; i++) {\n            ret[i] = render(i + 1, i);\n        }\n    }\n    else if (isObject(val)) {\n        if (hasSymbol && val[Symbol.iterator]) {\n            ret = [];\n            var iterator = val[Symbol.iterator]();\n            var result = iterator.next();\n            while (!result.done) {\n                ret.push(render(result.value, ret.length));\n                result = iterator.next();\n            }\n        }\n        else {\n            keys = Object.keys(val);\n            ret = new Array(keys.length);\n            for (i = 0, l = keys.length; i < l; i++) {\n                key = keys[i];\n                ret[i] = render(val[key], key, i);\n            }\n        }\n    }\n    if (!isDef(ret)) {\n        ret = [];\n    }\n    ret._isVList = true;\n    return ret;\n}\n\n/**\n * Runtime helper for rendering <slot>\n */\nfunction renderSlot(name, fallbackRender, props, bindObject) {\n    var scopedSlotFn = this.$scopedSlots[name];\n    var nodes;\n    if (scopedSlotFn) {\n        // scoped slot\n        props = props || {};\n        if (bindObject) {\n            if (process.env.NODE_ENV !== 'production' && !isObject(bindObject)) {\n                warn('slot v-bind without argument expects an Object', this);\n            }\n            props = extend(extend({}, bindObject), props);\n        }\n        nodes =\n            scopedSlotFn(props) ||\n                (isFunction(fallbackRender) ? fallbackRender() : fallbackRender);\n    }\n    else {\n        nodes =\n            this.$slots[name] ||\n                (isFunction(fallbackRender) ? fallbackRender() : fallbackRender);\n    }\n    var target = props && props.slot;\n    if (target) {\n        return this.$createElement('template', { slot: target }, nodes);\n    }\n    else {\n        return nodes;\n    }\n}\n\n/**\n * Runtime helper for resolving filters\n */\nfunction resolveFilter(id) {\n    return resolveAsset(this.$options, 'filters', id, true) || identity;\n}\n\nfunction isKeyNotMatch(expect, actual) {\n    if (isArray(expect)) {\n        return expect.indexOf(actual) === -1;\n    }\n    else {\n        return expect !== actual;\n    }\n}\n/**\n * Runtime helper for checking keyCodes from config.\n * exposed as Vue.prototype._k\n * passing in eventKeyName as last argument separately for backwards compat\n */\nfunction checkKeyCodes(eventKeyCode, key, builtInKeyCode, eventKeyName, builtInKeyName) {\n    var mappedKeyCode = config.keyCodes[key] || builtInKeyCode;\n    if (builtInKeyName && eventKeyName && !config.keyCodes[key]) {\n        return isKeyNotMatch(builtInKeyName, eventKeyName);\n    }\n    else if (mappedKeyCode) {\n        return isKeyNotMatch(mappedKeyCode, eventKeyCode);\n    }\n    else if (eventKeyName) {\n        return hyphenate(eventKeyName) !== key;\n    }\n    return eventKeyCode === undefined;\n}\n\n/**\n * Runtime helper for merging v-bind=\"object\" into a VNode's data.\n */\nfunction bindObjectProps(data, tag, value, asProp, isSync) {\n    if (value) {\n        if (!isObject(value)) {\n            process.env.NODE_ENV !== 'production' &&\n                warn('v-bind without argument expects an Object or Array value', this);\n        }\n        else {\n            if (isArray(value)) {\n                value = toObject(value);\n            }\n            var hash = void 0;\n            var _loop_1 = function (key) {\n                if (key === 'class' || key === 'style' || isReservedAttribute(key)) {\n                    hash = data;\n                }\n                else {\n                    var type = data.attrs && data.attrs.type;\n                    hash =\n                        asProp || config.mustUseProp(tag, type, key)\n                            ? data.domProps || (data.domProps = {})\n                            : data.attrs || (data.attrs = {});\n                }\n                var camelizedKey = camelize(key);\n                var hyphenatedKey = hyphenate(key);\n                if (!(camelizedKey in hash) && !(hyphenatedKey in hash)) {\n                    hash[key] = value[key];\n                    if (isSync) {\n                        var on = data.on || (data.on = {});\n                        on[\"update:\".concat(key)] = function ($event) {\n                            value[key] = $event;\n                        };\n                    }\n                }\n            };\n            for (var key in value) {\n                _loop_1(key);\n            }\n        }\n    }\n    return data;\n}\n\n/**\n * Runtime helper for rendering static trees.\n */\nfunction renderStatic(index, isInFor) {\n    var cached = this._staticTrees || (this._staticTrees = []);\n    var tree = cached[index];\n    // if has already-rendered static tree and not inside v-for,\n    // we can reuse the same tree.\n    if (tree && !isInFor) {\n        return tree;\n    }\n    // otherwise, render a fresh tree.\n    tree = cached[index] = this.$options.staticRenderFns[index].call(this._renderProxy, this._c, this // for render fns generated for functional component templates\n    );\n    markStatic(tree, \"__static__\".concat(index), false);\n    return tree;\n}\n/**\n * Runtime helper for v-once.\n * Effectively it means marking the node as static with a unique key.\n */\nfunction markOnce(tree, index, key) {\n    markStatic(tree, \"__once__\".concat(index).concat(key ? \"_\".concat(key) : \"\"), true);\n    return tree;\n}\nfunction markStatic(tree, key, isOnce) {\n    if (isArray(tree)) {\n        for (var i = 0; i < tree.length; i++) {\n            if (tree[i] && typeof tree[i] !== 'string') {\n                markStaticNode(tree[i], \"\".concat(key, \"_\").concat(i), isOnce);\n            }\n        }\n    }\n    else {\n        markStaticNode(tree, key, isOnce);\n    }\n}\nfunction markStaticNode(node, key, isOnce) {\n    node.isStatic = true;\n    node.key = key;\n    node.isOnce = isOnce;\n}\n\nfunction bindObjectListeners(data, value) {\n    if (value) {\n        if (!isPlainObject(value)) {\n            process.env.NODE_ENV !== 'production' && warn('v-on without argument expects an Object value', this);\n        }\n        else {\n            var on = (data.on = data.on ? extend({}, data.on) : {});\n            for (var key in value) {\n                var existing = on[key];\n                var ours = value[key];\n                on[key] = existing ? [].concat(existing, ours) : ours;\n            }\n        }\n    }\n    return data;\n}\n\nfunction resolveScopedSlots(fns, res, \n// the following are added in 2.6\nhasDynamicKeys, contentHashKey) {\n    res = res || { $stable: !hasDynamicKeys };\n    for (var i = 0; i < fns.length; i++) {\n        var slot = fns[i];\n        if (isArray(slot)) {\n            resolveScopedSlots(slot, res, hasDynamicKeys);\n        }\n        else if (slot) {\n            // marker for reverse proxying v-slot without scope on this.$slots\n            // @ts-expect-error\n            if (slot.proxy) {\n                // @ts-expect-error\n                slot.fn.proxy = true;\n            }\n            res[slot.key] = slot.fn;\n        }\n    }\n    if (contentHashKey) {\n        res.$key = contentHashKey;\n    }\n    return res;\n}\n\n// helper to process dynamic keys for dynamic arguments in v-bind and v-on.\nfunction bindDynamicKeys(baseObj, values) {\n    for (var i = 0; i < values.length; i += 2) {\n        var key = values[i];\n        if (typeof key === 'string' && key) {\n            baseObj[values[i]] = values[i + 1];\n        }\n        else if (process.env.NODE_ENV !== 'production' && key !== '' && key !== null) {\n            // null is a special value for explicitly removing a binding\n            warn(\"Invalid value for dynamic directive argument (expected string or null): \".concat(key), this);\n        }\n    }\n    return baseObj;\n}\n// helper to dynamically append modifier runtime markers to event names.\n// ensure only append when value is already string, otherwise it will be cast\n// to string and cause the type check to miss.\nfunction prependModifier(value, symbol) {\n    return typeof value === 'string' ? symbol + value : value;\n}\n\nfunction installRenderHelpers(target) {\n    target._o = markOnce;\n    target._n = toNumber;\n    target._s = toString;\n    target._l = renderList;\n    target._t = renderSlot;\n    target._q = looseEqual;\n    target._i = looseIndexOf;\n    target._m = renderStatic;\n    target._f = resolveFilter;\n    target._k = checkKeyCodes;\n    target._b = bindObjectProps;\n    target._v = createTextVNode;\n    target._e = createEmptyVNode;\n    target._u = resolveScopedSlots;\n    target._g = bindObjectListeners;\n    target._d = bindDynamicKeys;\n    target._p = prependModifier;\n}\n\n/**\n * Runtime helper for resolving raw children VNodes into a slot object.\n */\nfunction resolveSlots(children, context) {\n    if (!children || !children.length) {\n        return {};\n    }\n    var slots = {};\n    for (var i = 0, l = children.length; i < l; i++) {\n        var child = children[i];\n        var data = child.data;\n        // remove slot attribute if the node is resolved as a Vue slot node\n        if (data && data.attrs && data.attrs.slot) {\n            delete data.attrs.slot;\n        }\n        // named slots should only be respected if the vnode was rendered in the\n        // same context.\n        if ((child.context === context || child.fnContext === context) &&\n            data &&\n            data.slot != null) {\n            var name_1 = data.slot;\n            var slot = slots[name_1] || (slots[name_1] = []);\n            if (child.tag === 'template') {\n                slot.push.apply(slot, child.children || []);\n            }\n            else {\n                slot.push(child);\n            }\n        }\n        else {\n            (slots.default || (slots.default = [])).push(child);\n        }\n    }\n    // ignore slots that contains only whitespace\n    for (var name_2 in slots) {\n        if (slots[name_2].every(isWhitespace)) {\n            delete slots[name_2];\n        }\n    }\n    return slots;\n}\nfunction isWhitespace(node) {\n    return (node.isComment && !node.asyncFactory) || node.text === ' ';\n}\n\nfunction isAsyncPlaceholder(node) {\n    // @ts-expect-error not really boolean type\n    return node.isComment && node.asyncFactory;\n}\n\nfunction normalizeScopedSlots(ownerVm, scopedSlots, normalSlots, prevScopedSlots) {\n    var res;\n    var hasNormalSlots = Object.keys(normalSlots).length > 0;\n    var isStable = scopedSlots ? !!scopedSlots.$stable : !hasNormalSlots;\n    var key = scopedSlots && scopedSlots.$key;\n    if (!scopedSlots) {\n        res = {};\n    }\n    else if (scopedSlots._normalized) {\n        // fast path 1: child component re-render only, parent did not change\n        return scopedSlots._normalized;\n    }\n    else if (isStable &&\n        prevScopedSlots &&\n        prevScopedSlots !== emptyObject &&\n        key === prevScopedSlots.$key &&\n        !hasNormalSlots &&\n        !prevScopedSlots.$hasNormal) {\n        // fast path 2: stable scoped slots w/ no normal slots to proxy,\n        // only need to normalize once\n        return prevScopedSlots;\n    }\n    else {\n        res = {};\n        for (var key_1 in scopedSlots) {\n            if (scopedSlots[key_1] && key_1[0] !== '$') {\n                res[key_1] = normalizeScopedSlot(ownerVm, normalSlots, key_1, scopedSlots[key_1]);\n            }\n        }\n    }\n    // expose normal slots on scopedSlots\n    for (var key_2 in normalSlots) {\n        if (!(key_2 in res)) {\n            res[key_2] = proxyNormalSlot(normalSlots, key_2);\n        }\n    }\n    // avoriaz seems to mock a non-extensible $scopedSlots object\n    // and when that is passed down this would cause an error\n    if (scopedSlots && Object.isExtensible(scopedSlots)) {\n        scopedSlots._normalized = res;\n    }\n    def(res, '$stable', isStable);\n    def(res, '$key', key);\n    def(res, '$hasNormal', hasNormalSlots);\n    return res;\n}\nfunction normalizeScopedSlot(vm, normalSlots, key, fn) {\n    var normalized = function () {\n        var cur = currentInstance;\n        setCurrentInstance(vm);\n        var res = arguments.length ? fn.apply(null, arguments) : fn({});\n        res =\n            res && typeof res === 'object' && !isArray(res)\n                ? [res] // single vnode\n                : normalizeChildren(res);\n        var vnode = res && res[0];\n        setCurrentInstance(cur);\n        return res &&\n            (!vnode ||\n                (res.length === 1 && vnode.isComment && !isAsyncPlaceholder(vnode))) // #9658, #10391\n            ? undefined\n            : res;\n    };\n    // this is a slot using the new v-slot syntax without scope. although it is\n    // compiled as a scoped slot, render fn users would expect it to be present\n    // on this.$slots because the usage is semantically a normal slot.\n    if (fn.proxy) {\n        Object.defineProperty(normalSlots, key, {\n            get: normalized,\n            enumerable: true,\n            configurable: true\n        });\n    }\n    return normalized;\n}\nfunction proxyNormalSlot(slots, key) {\n    return function () { return slots[key]; };\n}\n\nfunction initSetup(vm) {\n    var options = vm.$options;\n    var setup = options.setup;\n    if (setup) {\n        var ctx = (vm._setupContext = createSetupContext(vm));\n        setCurrentInstance(vm);\n        pushTarget();\n        var setupResult = invokeWithErrorHandling(setup, null, [vm._props || shallowReactive({}), ctx], vm, \"setup\");\n        popTarget();\n        setCurrentInstance();\n        if (isFunction(setupResult)) {\n            // render function\n            // @ts-ignore\n            options.render = setupResult;\n        }\n        else if (isObject(setupResult)) {\n            // bindings\n            if (process.env.NODE_ENV !== 'production' && setupResult instanceof VNode) {\n                warn(\"setup() should not return VNodes directly - \" +\n                    \"return a render function instead.\");\n            }\n            vm._setupState = setupResult;\n            // __sfc indicates compiled bindings from <script setup>\n            if (!setupResult.__sfc) {\n                for (var key in setupResult) {\n                    if (!isReserved(key)) {\n                        proxyWithRefUnwrap(vm, setupResult, key);\n                    }\n                    else if (process.env.NODE_ENV !== 'production') {\n                        warn(\"Avoid using variables that start with _ or $ in setup().\");\n                    }\n                }\n            }\n            else {\n                // exposed for compiled render fn\n                var proxy = (vm._setupProxy = {});\n                for (var key in setupResult) {\n                    if (key !== '__sfc') {\n                        proxyWithRefUnwrap(proxy, setupResult, key);\n                    }\n                }\n            }\n        }\n        else if (process.env.NODE_ENV !== 'production' && setupResult !== undefined) {\n            warn(\"setup() should return an object. Received: \".concat(setupResult === null ? 'null' : typeof setupResult));\n        }\n    }\n}\nfunction createSetupContext(vm) {\n    var exposeCalled = false;\n    return {\n        get attrs() {\n            if (!vm._attrsProxy) {\n                var proxy = (vm._attrsProxy = {});\n                def(proxy, '_v_attr_proxy', true);\n                syncSetupProxy(proxy, vm.$attrs, emptyObject, vm, '$attrs');\n            }\n            return vm._attrsProxy;\n        },\n        get listeners() {\n            if (!vm._listenersProxy) {\n                var proxy = (vm._listenersProxy = {});\n                syncSetupProxy(proxy, vm.$listeners, emptyObject, vm, '$listeners');\n            }\n            return vm._listenersProxy;\n        },\n        get slots() {\n            return initSlotsProxy(vm);\n        },\n        emit: bind(vm.$emit, vm),\n        expose: function (exposed) {\n            if (process.env.NODE_ENV !== 'production') {\n                if (exposeCalled) {\n                    warn(\"expose() should be called only once per setup().\", vm);\n                }\n                exposeCalled = true;\n            }\n            if (exposed) {\n                Object.keys(exposed).forEach(function (key) {\n                    return proxyWithRefUnwrap(vm, exposed, key);\n                });\n            }\n        }\n    };\n}\nfunction syncSetupProxy(to, from, prev, instance, type) {\n    var changed = false;\n    for (var key in from) {\n        if (!(key in to)) {\n            changed = true;\n            defineProxyAttr(to, key, instance, type);\n        }\n        else if (from[key] !== prev[key]) {\n            changed = true;\n        }\n    }\n    for (var key in to) {\n        if (!(key in from)) {\n            changed = true;\n            delete to[key];\n        }\n    }\n    return changed;\n}\nfunction defineProxyAttr(proxy, key, instance, type) {\n    Object.defineProperty(proxy, key, {\n        enumerable: true,\n        configurable: true,\n        get: function () {\n            return instance[type][key];\n        }\n    });\n}\nfunction initSlotsProxy(vm) {\n    if (!vm._slotsProxy) {\n        syncSetupSlots((vm._slotsProxy = {}), vm.$scopedSlots);\n    }\n    return vm._slotsProxy;\n}\nfunction syncSetupSlots(to, from) {\n    for (var key in from) {\n        to[key] = from[key];\n    }\n    for (var key in to) {\n        if (!(key in from)) {\n            delete to[key];\n        }\n    }\n}\n/**\n * @internal use manual type def because public setup context type relies on\n * legacy VNode types\n */\nfunction useSlots() {\n    return getContext().slots;\n}\n/**\n * @internal use manual type def because public setup context type relies on\n * legacy VNode types\n */\nfunction useAttrs() {\n    return getContext().attrs;\n}\n/**\n * Vue 2 only\n * @internal use manual type def because public setup context type relies on\n * legacy VNode types\n */\nfunction useListeners() {\n    return getContext().listeners;\n}\nfunction getContext() {\n    if (process.env.NODE_ENV !== 'production' && !currentInstance) {\n        warn(\"useContext() called without active instance.\");\n    }\n    var vm = currentInstance;\n    return vm._setupContext || (vm._setupContext = createSetupContext(vm));\n}\n/**\n * Runtime helper for merging default declarations. Imported by compiled code\n * only.\n * @internal\n */\nfunction mergeDefaults(raw, defaults) {\n    var props = isArray(raw)\n        ? raw.reduce(function (normalized, p) { return ((normalized[p] = {}), normalized); }, {})\n        : raw;\n    for (var key in defaults) {\n        var opt = props[key];\n        if (opt) {\n            if (isArray(opt) || isFunction(opt)) {\n                props[key] = { type: opt, default: defaults[key] };\n            }\n            else {\n                opt.default = defaults[key];\n            }\n        }\n        else if (opt === null) {\n            props[key] = { default: defaults[key] };\n        }\n        else if (process.env.NODE_ENV !== 'production') {\n            warn(\"props default key \\\"\".concat(key, \"\\\" has no corresponding declaration.\"));\n        }\n    }\n    return props;\n}\n\nfunction initRender(vm) {\n    vm._vnode = null; // the root of the child tree\n    vm._staticTrees = null; // v-once cached trees\n    var options = vm.$options;\n    var parentVnode = (vm.$vnode = options._parentVnode); // the placeholder node in parent tree\n    var renderContext = parentVnode && parentVnode.context;\n    vm.$slots = resolveSlots(options._renderChildren, renderContext);\n    vm.$scopedSlots = parentVnode\n        ? normalizeScopedSlots(vm.$parent, parentVnode.data.scopedSlots, vm.$slots)\n        : emptyObject;\n    // bind the createElement fn to this instance\n    // so that we get proper render context inside it.\n    // args order: tag, data, children, normalizationType, alwaysNormalize\n    // internal version is used by render functions compiled from templates\n    // @ts-expect-error\n    vm._c = function (a, b, c, d) { return createElement$1(vm, a, b, c, d, false); };\n    // normalization is always applied for the public version, used in\n    // user-written render functions.\n    // @ts-expect-error\n    vm.$createElement = function (a, b, c, d) { return createElement$1(vm, a, b, c, d, true); };\n    // $attrs & $listeners are exposed for easier HOC creation.\n    // they need to be reactive so that HOCs using them are always updated\n    var parentData = parentVnode && parentVnode.data;\n    /* istanbul ignore else */\n    if (process.env.NODE_ENV !== 'production') {\n        defineReactive(vm, '$attrs', (parentData && parentData.attrs) || emptyObject, function () {\n            !isUpdatingChildComponent && warn(\"$attrs is readonly.\", vm);\n        }, true);\n        defineReactive(vm, '$listeners', options._parentListeners || emptyObject, function () {\n            !isUpdatingChildComponent && warn(\"$listeners is readonly.\", vm);\n        }, true);\n    }\n    else {\n        defineReactive(vm, '$attrs', (parentData && parentData.attrs) || emptyObject, null, true);\n        defineReactive(vm, '$listeners', options._parentListeners || emptyObject, null, true);\n    }\n}\nvar currentRenderingInstance = null;\nfunction renderMixin(Vue) {\n    // install runtime convenience helpers\n    installRenderHelpers(Vue.prototype);\n    Vue.prototype.$nextTick = function (fn) {\n        return nextTick(fn, this);\n    };\n    Vue.prototype._render = function () {\n        var vm = this;\n        var _a = vm.$options, render = _a.render, _parentVnode = _a._parentVnode;\n        if (_parentVnode && vm._isMounted) {\n            vm.$scopedSlots = normalizeScopedSlots(vm.$parent, _parentVnode.data.scopedSlots, vm.$slots, vm.$scopedSlots);\n            if (vm._slotsProxy) {\n                syncSetupSlots(vm._slotsProxy, vm.$scopedSlots);\n            }\n        }\n        // set parent vnode. this allows render functions to have access\n        // to the data on the placeholder node.\n        vm.$vnode = _parentVnode;\n        // render self\n        var vnode;\n        try {\n            // There's no need to maintain a stack because all render fns are called\n            // separately from one another. Nested component's render fns are called\n            // when parent component is patched.\n            setCurrentInstance(vm);\n            currentRenderingInstance = vm;\n            vnode = render.call(vm._renderProxy, vm.$createElement);\n        }\n        catch (e) {\n            handleError(e, vm, \"render\");\n            // return error render result,\n            // or previous vnode to prevent render error causing blank component\n            /* istanbul ignore else */\n            if (process.env.NODE_ENV !== 'production' && vm.$options.renderError) {\n                try {\n                    vnode = vm.$options.renderError.call(vm._renderProxy, vm.$createElement, e);\n                }\n                catch (e) {\n                    handleError(e, vm, \"renderError\");\n                    vnode = vm._vnode;\n                }\n            }\n            else {\n                vnode = vm._vnode;\n            }\n        }\n        finally {\n            currentRenderingInstance = null;\n            setCurrentInstance();\n        }\n        // if the returned array contains only a single node, allow it\n        if (isArray(vnode) && vnode.length === 1) {\n            vnode = vnode[0];\n        }\n        // return empty vnode in case the render function errored out\n        if (!(vnode instanceof VNode)) {\n            if (process.env.NODE_ENV !== 'production' && isArray(vnode)) {\n                warn('Multiple root nodes returned from render function. Render function ' +\n                    'should return a single root node.', vm);\n            }\n            vnode = createEmptyVNode();\n        }\n        // set parent\n        vnode.parent = _parentVnode;\n        return vnode;\n    };\n}\n\nfunction ensureCtor(comp, base) {\n    if (comp.__esModule || (hasSymbol && comp[Symbol.toStringTag] === 'Module')) {\n        comp = comp.default;\n    }\n    return isObject(comp) ? base.extend(comp) : comp;\n}\nfunction createAsyncPlaceholder(factory, data, context, children, tag) {\n    var node = createEmptyVNode();\n    node.asyncFactory = factory;\n    node.asyncMeta = { data: data, context: context, children: children, tag: tag };\n    return node;\n}\nfunction resolveAsyncComponent(factory, baseCtor) {\n    if (isTrue(factory.error) && isDef(factory.errorComp)) {\n        return factory.errorComp;\n    }\n    if (isDef(factory.resolved)) {\n        return factory.resolved;\n    }\n    var owner = currentRenderingInstance;\n    if (owner && isDef(factory.owners) && factory.owners.indexOf(owner) === -1) {\n        // already pending\n        factory.owners.push(owner);\n    }\n    if (isTrue(factory.loading) && isDef(factory.loadingComp)) {\n        return factory.loadingComp;\n    }\n    if (owner && !isDef(factory.owners)) {\n        var owners_1 = (factory.owners = [owner]);\n        var sync_1 = true;\n        var timerLoading_1 = null;\n        var timerTimeout_1 = null;\n        owner.$on('hook:destroyed', function () { return remove$2(owners_1, owner); });\n        var forceRender_1 = function (renderCompleted) {\n            for (var i = 0, l = owners_1.length; i < l; i++) {\n                owners_1[i].$forceUpdate();\n            }\n            if (renderCompleted) {\n                owners_1.length = 0;\n                if (timerLoading_1 !== null) {\n                    clearTimeout(timerLoading_1);\n                    timerLoading_1 = null;\n                }\n                if (timerTimeout_1 !== null) {\n                    clearTimeout(timerTimeout_1);\n                    timerTimeout_1 = null;\n                }\n            }\n        };\n        var resolve = once(function (res) {\n            // cache resolved\n            factory.resolved = ensureCtor(res, baseCtor);\n            // invoke callbacks only if this is not a synchronous resolve\n            // (async resolves are shimmed as synchronous during SSR)\n            if (!sync_1) {\n                forceRender_1(true);\n            }\n            else {\n                owners_1.length = 0;\n            }\n        });\n        var reject_1 = once(function (reason) {\n            process.env.NODE_ENV !== 'production' &&\n                warn(\"Failed to resolve async component: \".concat(String(factory)) +\n                    (reason ? \"\\nReason: \".concat(reason) : ''));\n            if (isDef(factory.errorComp)) {\n                factory.error = true;\n                forceRender_1(true);\n            }\n        });\n        var res_1 = factory(resolve, reject_1);\n        if (isObject(res_1)) {\n            if (isPromise(res_1)) {\n                // () => Promise\n                if (isUndef(factory.resolved)) {\n                    res_1.then(resolve, reject_1);\n                }\n            }\n            else if (isPromise(res_1.component)) {\n                res_1.component.then(resolve, reject_1);\n                if (isDef(res_1.error)) {\n                    factory.errorComp = ensureCtor(res_1.error, baseCtor);\n                }\n                if (isDef(res_1.loading)) {\n                    factory.loadingComp = ensureCtor(res_1.loading, baseCtor);\n                    if (res_1.delay === 0) {\n                        factory.loading = true;\n                    }\n                    else {\n                        // @ts-expect-error NodeJS timeout type\n                        timerLoading_1 = setTimeout(function () {\n                            timerLoading_1 = null;\n                            if (isUndef(factory.resolved) && isUndef(factory.error)) {\n                                factory.loading = true;\n                                forceRender_1(false);\n                            }\n                        }, res_1.delay || 200);\n                    }\n                }\n                if (isDef(res_1.timeout)) {\n                    // @ts-expect-error NodeJS timeout type\n                    timerTimeout_1 = setTimeout(function () {\n                        timerTimeout_1 = null;\n                        if (isUndef(factory.resolved)) {\n                            reject_1(process.env.NODE_ENV !== 'production' ? \"timeout (\".concat(res_1.timeout, \"ms)\") : null);\n                        }\n                    }, res_1.timeout);\n                }\n            }\n        }\n        sync_1 = false;\n        // return in case resolved synchronously\n        return factory.loading ? factory.loadingComp : factory.resolved;\n    }\n}\n\nfunction getFirstComponentChild(children) {\n    if (isArray(children)) {\n        for (var i = 0; i < children.length; i++) {\n            var c = children[i];\n            if (isDef(c) && (isDef(c.componentOptions) || isAsyncPlaceholder(c))) {\n                return c;\n            }\n        }\n    }\n}\n\nvar SIMPLE_NORMALIZE = 1;\nvar ALWAYS_NORMALIZE = 2;\n// wrapper function for providing a more flexible interface\n// without getting yelled at by flow\nfunction createElement$1(context, tag, data, children, normalizationType, alwaysNormalize) {\n    if (isArray(data) || isPrimitive(data)) {\n        normalizationType = children;\n        children = data;\n        data = undefined;\n    }\n    if (isTrue(alwaysNormalize)) {\n        normalizationType = ALWAYS_NORMALIZE;\n    }\n    return _createElement(context, tag, data, children, normalizationType);\n}\nfunction _createElement(context, tag, data, children, normalizationType) {\n    if (isDef(data) && isDef(data.__ob__)) {\n        process.env.NODE_ENV !== 'production' &&\n            warn(\"Avoid using observed data object as vnode data: \".concat(JSON.stringify(data), \"\\n\") + 'Always create fresh vnode data objects in each render!', context);\n        return createEmptyVNode();\n    }\n    // object syntax in v-bind\n    if (isDef(data) && isDef(data.is)) {\n        tag = data.is;\n    }\n    if (!tag) {\n        // in case of component :is set to falsy value\n        return createEmptyVNode();\n    }\n    // warn against non-primitive key\n    if (process.env.NODE_ENV !== 'production' && isDef(data) && isDef(data.key) && !isPrimitive(data.key)) {\n        warn('Avoid using non-primitive value as key, ' +\n            'use string/number value instead.', context);\n    }\n    // support single function children as default scoped slot\n    if (isArray(children) && isFunction(children[0])) {\n        data = data || {};\n        data.scopedSlots = { default: children[0] };\n        children.length = 0;\n    }\n    if (normalizationType === ALWAYS_NORMALIZE) {\n        children = normalizeChildren(children);\n    }\n    else if (normalizationType === SIMPLE_NORMALIZE) {\n        children = simpleNormalizeChildren(children);\n    }\n    var vnode, ns;\n    if (typeof tag === 'string') {\n        var Ctor = void 0;\n        ns = (context.$vnode && context.$vnode.ns) || config.getTagNamespace(tag);\n        if (config.isReservedTag(tag)) {\n            // platform built-in elements\n            if (process.env.NODE_ENV !== 'production' &&\n                isDef(data) &&\n                isDef(data.nativeOn) &&\n                data.tag !== 'component') {\n                warn(\"The .native modifier for v-on is only valid on components but it was used on <\".concat(tag, \">.\"), context);\n            }\n            vnode = new VNode(config.parsePlatformTagName(tag), data, children, undefined, undefined, context);\n        }\n        else if ((!data || !data.pre) &&\n            isDef((Ctor = resolveAsset(context.$options, 'components', tag)))) {\n            // component\n            vnode = createComponent(Ctor, data, context, children, tag);\n        }\n        else {\n            // unknown or unlisted namespaced elements\n            // check at runtime because it may get assigned a namespace when its\n            // parent normalizes children\n            vnode = new VNode(tag, data, children, undefined, undefined, context);\n        }\n    }\n    else {\n        // direct component options / constructor\n        vnode = createComponent(tag, data, context, children);\n    }\n    if (isArray(vnode)) {\n        return vnode;\n    }\n    else if (isDef(vnode)) {\n        if (isDef(ns))\n            applyNS(vnode, ns);\n        if (isDef(data))\n            registerDeepBindings(data);\n        return vnode;\n    }\n    else {\n        return createEmptyVNode();\n    }\n}\nfunction applyNS(vnode, ns, force) {\n    vnode.ns = ns;\n    if (vnode.tag === 'foreignObject') {\n        // use default namespace inside foreignObject\n        ns = undefined;\n        force = true;\n    }\n    if (isDef(vnode.children)) {\n        for (var i = 0, l = vnode.children.length; i < l; i++) {\n            var child = vnode.children[i];\n            if (isDef(child.tag) &&\n                (isUndef(child.ns) || (isTrue(force) && child.tag !== 'svg'))) {\n                applyNS(child, ns, force);\n            }\n        }\n    }\n}\n// ref #5318\n// necessary to ensure parent re-render when deep bindings like :style and\n// :class are used on slot nodes\nfunction registerDeepBindings(data) {\n    if (isObject(data.style)) {\n        traverse(data.style);\n    }\n    if (isObject(data.class)) {\n        traverse(data.class);\n    }\n}\n\n/**\n * @internal this function needs manual public type declaration because it relies\n * on previously manually authored types from Vue 2\n */\nfunction h(type, props, children) {\n    if (!currentInstance) {\n        process.env.NODE_ENV !== 'production' &&\n            warn(\"globally imported h() can only be invoked when there is an active \" +\n                \"component instance, e.g. synchronously in a component's render or setup function.\");\n    }\n    return createElement$1(currentInstance, type, props, children, 2, true);\n}\n\nfunction handleError(err, vm, info) {\n    // Deactivate deps tracking while processing error handler to avoid possible infinite rendering.\n    // See: https://github.com/vuejs/vuex/issues/1505\n    pushTarget();\n    try {\n        if (vm) {\n            var cur = vm;\n            while ((cur = cur.$parent)) {\n                var hooks = cur.$options.errorCaptured;\n                if (hooks) {\n                    for (var i = 0; i < hooks.length; i++) {\n                        try {\n                            var capture = hooks[i].call(cur, err, vm, info) === false;\n                            if (capture)\n                                return;\n                        }\n                        catch (e) {\n                            globalHandleError(e, cur, 'errorCaptured hook');\n                        }\n                    }\n                }\n            }\n        }\n        globalHandleError(err, vm, info);\n    }\n    finally {\n        popTarget();\n    }\n}\nfunction invokeWithErrorHandling(handler, context, args, vm, info) {\n    var res;\n    try {\n        res = args ? handler.apply(context, args) : handler.call(context);\n        if (res && !res._isVue && isPromise(res) && !res._handled) {\n            res.catch(function (e) { return handleError(e, vm, info + \" (Promise/async)\"); });\n            res._handled = true;\n        }\n    }\n    catch (e) {\n        handleError(e, vm, info);\n    }\n    return res;\n}\nfunction globalHandleError(err, vm, info) {\n    if (config.errorHandler) {\n        try {\n            return config.errorHandler.call(null, err, vm, info);\n        }\n        catch (e) {\n            // if the user intentionally throws the original error in the handler,\n            // do not log it twice\n            if (e !== err) {\n                logError(e, null, 'config.errorHandler');\n            }\n        }\n    }\n    logError(err, vm, info);\n}\nfunction logError(err, vm, info) {\n    if (process.env.NODE_ENV !== 'production') {\n        warn(\"Error in \".concat(info, \": \\\"\").concat(err.toString(), \"\\\"\"), vm);\n    }\n    /* istanbul ignore else */\n    if (inBrowser && typeof console !== 'undefined') {\n        console.error(err);\n    }\n    else {\n        throw err;\n    }\n}\n\n/* globals MutationObserver */\nvar isUsingMicroTask = false;\nvar callbacks = [];\nvar pending = false;\nfunction flushCallbacks() {\n    pending = false;\n    var copies = callbacks.slice(0);\n    callbacks.length = 0;\n    for (var i = 0; i < copies.length; i++) {\n        copies[i]();\n    }\n}\n// Here we have async deferring wrappers using microtasks.\n// In 2.5 we used (macro) tasks (in combination with microtasks).\n// However, it has subtle problems when state is changed right before repaint\n// (e.g. #6813, out-in transitions).\n// Also, using (macro) tasks in event handler would cause some weird behaviors\n// that cannot be circumvented (e.g. #7109, #7153, #7546, #7834, #8109).\n// So we now use microtasks everywhere, again.\n// A major drawback of this tradeoff is that there are some scenarios\n// where microtasks have too high a priority and fire in between supposedly\n// sequential events (e.g. #4521, #6690, which have workarounds)\n// or even between bubbling of the same event (#6566).\nvar timerFunc;\n// The nextTick behavior leverages the microtask queue, which can be accessed\n// via either native Promise.then or MutationObserver.\n// MutationObserver has wider support, however it is seriously bugged in\n// UIWebView in iOS >= 9.3.3 when triggered in touch event handlers. It\n// completely stops working after triggering a few times... so, if native\n// Promise is available, we will use it:\n/* istanbul ignore next, $flow-disable-line */\nif (typeof Promise !== 'undefined' && isNative(Promise)) {\n    var p_1 = Promise.resolve();\n    timerFunc = function () {\n        p_1.then(flushCallbacks);\n        // In problematic UIWebViews, Promise.then doesn't completely break, but\n        // it can get stuck in a weird state where callbacks are pushed into the\n        // microtask queue but the queue isn't being flushed, until the browser\n        // needs to do some other work, e.g. handle a timer. Therefore we can\n        // \"force\" the microtask queue to be flushed by adding an empty timer.\n        if (isIOS)\n            setTimeout(noop);\n    };\n    isUsingMicroTask = true;\n}\nelse if (!isIE &&\n    typeof MutationObserver !== 'undefined' &&\n    (isNative(MutationObserver) ||\n        // PhantomJS and iOS 7.x\n        MutationObserver.toString() === '[object MutationObserverConstructor]')) {\n    // Use MutationObserver where native Promise is not available,\n    // e.g. PhantomJS, iOS7, Android 4.4\n    // (#6466 MutationObserver is unreliable in IE11)\n    var counter_1 = 1;\n    var observer = new MutationObserver(flushCallbacks);\n    var textNode_1 = document.createTextNode(String(counter_1));\n    observer.observe(textNode_1, {\n        characterData: true\n    });\n    timerFunc = function () {\n        counter_1 = (counter_1 + 1) % 2;\n        textNode_1.data = String(counter_1);\n    };\n    isUsingMicroTask = true;\n}\nelse if (typeof setImmediate !== 'undefined' && isNative(setImmediate)) {\n    // Fallback to setImmediate.\n    // Technically it leverages the (macro) task queue,\n    // but it is still a better choice than setTimeout.\n    timerFunc = function () {\n        setImmediate(flushCallbacks);\n    };\n}\nelse {\n    // Fallback to setTimeout.\n    timerFunc = function () {\n        setTimeout(flushCallbacks, 0);\n    };\n}\n/**\n * @internal\n */\nfunction nextTick(cb, ctx) {\n    var _resolve;\n    callbacks.push(function () {\n        if (cb) {\n            try {\n                cb.call(ctx);\n            }\n            catch (e) {\n                handleError(e, ctx, 'nextTick');\n            }\n        }\n        else if (_resolve) {\n            _resolve(ctx);\n        }\n    });\n    if (!pending) {\n        pending = true;\n        timerFunc();\n    }\n    // $flow-disable-line\n    if (!cb && typeof Promise !== 'undefined') {\n        return new Promise(function (resolve) {\n            _resolve = resolve;\n        });\n    }\n}\n\nfunction useCssModule(name) {\n    if (name === void 0) { name = '$style'; }\n    /* istanbul ignore else */\n    {\n        if (!currentInstance) {\n            process.env.NODE_ENV !== 'production' && warn(\"useCssModule must be called inside setup()\");\n            return emptyObject;\n        }\n        var mod = currentInstance[name];\n        if (!mod) {\n            process.env.NODE_ENV !== 'production' &&\n                warn(\"Current instance does not have CSS module named \\\"\".concat(name, \"\\\".\"));\n            return emptyObject;\n        }\n        return mod;\n    }\n}\n\n/**\n * Runtime helper for SFC's CSS variable injection feature.\n * @private\n */\nfunction useCssVars(getter) {\n    if (!inBrowser && !false)\n        return;\n    var instance = currentInstance;\n    if (!instance) {\n        process.env.NODE_ENV !== 'production' &&\n            warn(\"useCssVars is called without current active component instance.\");\n        return;\n    }\n    watchPostEffect(function () {\n        var el = instance.$el;\n        var vars = getter(instance, instance._setupProxy);\n        if (el && el.nodeType === 1) {\n            var style = el.style;\n            for (var key in vars) {\n                style.setProperty(\"--\".concat(key), vars[key]);\n            }\n        }\n    });\n}\n\n/**\n * v3-compatible async component API.\n * @internal the type is manually declared in <root>/types/v3-define-async-component.d.ts\n * because it relies on existing manual types\n */\nfunction defineAsyncComponent(source) {\n    if (isFunction(source)) {\n        source = { loader: source };\n    }\n    var loader = source.loader, loadingComponent = source.loadingComponent, errorComponent = source.errorComponent, _a = source.delay, delay = _a === void 0 ? 200 : _a, timeout = source.timeout, // undefined = never times out\n    _b = source.suspensible, // undefined = never times out\n    suspensible = _b === void 0 ? false : _b, // in Vue 3 default is true\n    userOnError = source.onError;\n    if (process.env.NODE_ENV !== 'production' && suspensible) {\n        warn(\"The suspensiblbe option for async components is not supported in Vue2. It is ignored.\");\n    }\n    var pendingRequest = null;\n    var retries = 0;\n    var retry = function () {\n        retries++;\n        pendingRequest = null;\n        return load();\n    };\n    var load = function () {\n        var thisRequest;\n        return (pendingRequest ||\n            (thisRequest = pendingRequest =\n                loader()\n                    .catch(function (err) {\n                    err = err instanceof Error ? err : new Error(String(err));\n                    if (userOnError) {\n                        return new Promise(function (resolve, reject) {\n                            var userRetry = function () { return resolve(retry()); };\n                            var userFail = function () { return reject(err); };\n                            userOnError(err, userRetry, userFail, retries + 1);\n                        });\n                    }\n                    else {\n                        throw err;\n                    }\n                })\n                    .then(function (comp) {\n                    if (thisRequest !== pendingRequest && pendingRequest) {\n                        return pendingRequest;\n                    }\n                    if (process.env.NODE_ENV !== 'production' && !comp) {\n                        warn(\"Async component loader resolved to undefined. \" +\n                            \"If you are using retry(), make sure to return its return value.\");\n                    }\n                    // interop module default\n                    if (comp &&\n                        (comp.__esModule || comp[Symbol.toStringTag] === 'Module')) {\n                        comp = comp.default;\n                    }\n                    if (process.env.NODE_ENV !== 'production' && comp && !isObject(comp) && !isFunction(comp)) {\n                        throw new Error(\"Invalid async component load result: \".concat(comp));\n                    }\n                    return comp;\n                })));\n    };\n    return function () {\n        var component = load();\n        return {\n            component: component,\n            delay: delay,\n            timeout: timeout,\n            error: errorComponent,\n            loading: loadingComponent\n        };\n    };\n}\n\nfunction createLifeCycle(hookName) {\n    return function (fn, target) {\n        if (target === void 0) { target = currentInstance; }\n        if (!target) {\n            process.env.NODE_ENV !== 'production' &&\n                warn(\"\".concat(formatName(hookName), \" is called when there is no active component instance to be \") +\n                    \"associated with. \" +\n                    \"Lifecycle injection APIs can only be used during execution of setup().\");\n            return;\n        }\n        return injectHook(target, hookName, fn);\n    };\n}\nfunction formatName(name) {\n    if (name === 'beforeDestroy') {\n        name = 'beforeUnmount';\n    }\n    else if (name === 'destroyed') {\n        name = 'unmounted';\n    }\n    return \"on\".concat(name[0].toUpperCase() + name.slice(1));\n}\nfunction injectHook(instance, hookName, fn) {\n    var options = instance.$options;\n    options[hookName] = mergeLifecycleHook(options[hookName], fn);\n}\nvar onBeforeMount = createLifeCycle('beforeMount');\nvar onMounted = createLifeCycle('mounted');\nvar onBeforeUpdate = createLifeCycle('beforeUpdate');\nvar onUpdated = createLifeCycle('updated');\nvar onBeforeUnmount = createLifeCycle('beforeDestroy');\nvar onUnmounted = createLifeCycle('destroyed');\nvar onActivated = createLifeCycle('activated');\nvar onDeactivated = createLifeCycle('deactivated');\nvar onServerPrefetch = createLifeCycle('serverPrefetch');\nvar onRenderTracked = createLifeCycle('renderTracked');\nvar onRenderTriggered = createLifeCycle('renderTriggered');\nvar injectErrorCapturedHook = createLifeCycle('errorCaptured');\nfunction onErrorCaptured(hook, target) {\n    if (target === void 0) { target = currentInstance; }\n    injectErrorCapturedHook(hook, target);\n}\n\n/**\n * Note: also update dist/vue.runtime.mjs when adding new exports to this file.\n */\nvar version = '2.7.14';\n/**\n * @internal type is manually declared in <root>/types/v3-define-component.d.ts\n */\nfunction defineComponent(options) {\n    return options;\n}\n\nvar seenObjects = new _Set();\n/**\n * Recursively traverse an object to evoke all converted\n * getters, so that every nested property inside the object\n * is collected as a \"deep\" dependency.\n */\nfunction traverse(val) {\n    _traverse(val, seenObjects);\n    seenObjects.clear();\n    return val;\n}\nfunction _traverse(val, seen) {\n    var i, keys;\n    var isA = isArray(val);\n    if ((!isA && !isObject(val)) ||\n        val.__v_skip /* ReactiveFlags.SKIP */ ||\n        Object.isFrozen(val) ||\n        val instanceof VNode) {\n        return;\n    }\n    if (val.__ob__) {\n        var depId = val.__ob__.dep.id;\n        if (seen.has(depId)) {\n            return;\n        }\n        seen.add(depId);\n    }\n    if (isA) {\n        i = val.length;\n        while (i--)\n            _traverse(val[i], seen);\n    }\n    else if (isRef(val)) {\n        _traverse(val.value, seen);\n    }\n    else {\n        keys = Object.keys(val);\n        i = keys.length;\n        while (i--)\n            _traverse(val[keys[i]], seen);\n    }\n}\n\nvar uid$1 = 0;\n/**\n * A watcher parses an expression, collects dependencies,\n * and fires callback when the expression value changes.\n * This is used for both the $watch() api and directives.\n * @internal\n */\nvar Watcher = /** @class */ (function () {\n    function Watcher(vm, expOrFn, cb, options, isRenderWatcher) {\n        recordEffectScope(this, \n        // if the active effect scope is manually created (not a component scope),\n        // prioritize it\n        activeEffectScope && !activeEffectScope._vm\n            ? activeEffectScope\n            : vm\n                ? vm._scope\n                : undefined);\n        if ((this.vm = vm) && isRenderWatcher) {\n            vm._watcher = this;\n        }\n        // options\n        if (options) {\n            this.deep = !!options.deep;\n            this.user = !!options.user;\n            this.lazy = !!options.lazy;\n            this.sync = !!options.sync;\n            this.before = options.before;\n            if (process.env.NODE_ENV !== 'production') {\n                this.onTrack = options.onTrack;\n                this.onTrigger = options.onTrigger;\n            }\n        }\n        else {\n            this.deep = this.user = this.lazy = this.sync = false;\n        }\n        this.cb = cb;\n        this.id = ++uid$1; // uid for batching\n        this.active = true;\n        this.post = false;\n        this.dirty = this.lazy; // for lazy watchers\n        this.deps = [];\n        this.newDeps = [];\n        this.depIds = new _Set();\n        this.newDepIds = new _Set();\n        this.expression = process.env.NODE_ENV !== 'production' ? expOrFn.toString() : '';\n        // parse expression for getter\n        if (isFunction(expOrFn)) {\n            this.getter = expOrFn;\n        }\n        else {\n            this.getter = parsePath(expOrFn);\n            if (!this.getter) {\n                this.getter = noop;\n                process.env.NODE_ENV !== 'production' &&\n                    warn(\"Failed watching path: \\\"\".concat(expOrFn, \"\\\" \") +\n                        'Watcher only accepts simple dot-delimited paths. ' +\n                        'For full control, use a function instead.', vm);\n            }\n        }\n        this.value = this.lazy ? undefined : this.get();\n    }\n    /**\n     * Evaluate the getter, and re-collect dependencies.\n     */\n    Watcher.prototype.get = function () {\n        pushTarget(this);\n        var value;\n        var vm = this.vm;\n        try {\n            value = this.getter.call(vm, vm);\n        }\n        catch (e) {\n            if (this.user) {\n                handleError(e, vm, \"getter for watcher \\\"\".concat(this.expression, \"\\\"\"));\n            }\n            else {\n                throw e;\n            }\n        }\n        finally {\n            // \"touch\" every property so they are all tracked as\n            // dependencies for deep watching\n            if (this.deep) {\n                traverse(value);\n            }\n            popTarget();\n            this.cleanupDeps();\n        }\n        return value;\n    };\n    /**\n     * Add a dependency to this directive.\n     */\n    Watcher.prototype.addDep = function (dep) {\n        var id = dep.id;\n        if (!this.newDepIds.has(id)) {\n            this.newDepIds.add(id);\n            this.newDeps.push(dep);\n            if (!this.depIds.has(id)) {\n                dep.addSub(this);\n            }\n        }\n    };\n    /**\n     * Clean up for dependency collection.\n     */\n    Watcher.prototype.cleanupDeps = function () {\n        var i = this.deps.length;\n        while (i--) {\n            var dep = this.deps[i];\n            if (!this.newDepIds.has(dep.id)) {\n                dep.removeSub(this);\n            }\n        }\n        var tmp = this.depIds;\n        this.depIds = this.newDepIds;\n        this.newDepIds = tmp;\n        this.newDepIds.clear();\n        tmp = this.deps;\n        this.deps = this.newDeps;\n        this.newDeps = tmp;\n        this.newDeps.length = 0;\n    };\n    /**\n     * Subscriber interface.\n     * Will be called when a dependency changes.\n     */\n    Watcher.prototype.update = function () {\n        /* istanbul ignore else */\n        if (this.lazy) {\n            this.dirty = true;\n        }\n        else if (this.sync) {\n            this.run();\n        }\n        else {\n            queueWatcher(this);\n        }\n    };\n    /**\n     * Scheduler job interface.\n     * Will be called by the scheduler.\n     */\n    Watcher.prototype.run = function () {\n        if (this.active) {\n            var value = this.get();\n            if (value !== this.value ||\n                // Deep watchers and watchers on Object/Arrays should fire even\n                // when the value is the same, because the value may\n                // have mutated.\n                isObject(value) ||\n                this.deep) {\n                // set new value\n                var oldValue = this.value;\n                this.value = value;\n                if (this.user) {\n                    var info = \"callback for watcher \\\"\".concat(this.expression, \"\\\"\");\n                    invokeWithErrorHandling(this.cb, this.vm, [value, oldValue], this.vm, info);\n                }\n                else {\n                    this.cb.call(this.vm, value, oldValue);\n                }\n            }\n        }\n    };\n    /**\n     * Evaluate the value of the watcher.\n     * This only gets called for lazy watchers.\n     */\n    Watcher.prototype.evaluate = function () {\n        this.value = this.get();\n        this.dirty = false;\n    };\n    /**\n     * Depend on all deps collected by this watcher.\n     */\n    Watcher.prototype.depend = function () {\n        var i = this.deps.length;\n        while (i--) {\n            this.deps[i].depend();\n        }\n    };\n    /**\n     * Remove self from all dependencies' subscriber list.\n     */\n    Watcher.prototype.teardown = function () {\n        if (this.vm && !this.vm._isBeingDestroyed) {\n            remove$2(this.vm._scope.effects, this);\n        }\n        if (this.active) {\n            var i = this.deps.length;\n            while (i--) {\n                this.deps[i].removeSub(this);\n            }\n            this.active = false;\n            if (this.onStop) {\n                this.onStop();\n            }\n        }\n    };\n    return Watcher;\n}());\n\nvar mark;\nvar measure;\nif (process.env.NODE_ENV !== 'production') {\n    var perf_1 = inBrowser && window.performance;\n    /* istanbul ignore if */\n    if (perf_1 &&\n        // @ts-ignore\n        perf_1.mark &&\n        // @ts-ignore\n        perf_1.measure &&\n        // @ts-ignore\n        perf_1.clearMarks &&\n        // @ts-ignore\n        perf_1.clearMeasures) {\n        mark = function (tag) { return perf_1.mark(tag); };\n        measure = function (name, startTag, endTag) {\n            perf_1.measure(name, startTag, endTag);\n            perf_1.clearMarks(startTag);\n            perf_1.clearMarks(endTag);\n            // perf.clearMeasures(name)\n        };\n    }\n}\n\nfunction initEvents(vm) {\n    vm._events = Object.create(null);\n    vm._hasHookEvent = false;\n    // init parent attached events\n    var listeners = vm.$options._parentListeners;\n    if (listeners) {\n        updateComponentListeners(vm, listeners);\n    }\n}\nvar target$1;\nfunction add$1(event, fn) {\n    target$1.$on(event, fn);\n}\nfunction remove$1(event, fn) {\n    target$1.$off(event, fn);\n}\nfunction createOnceHandler$1(event, fn) {\n    var _target = target$1;\n    return function onceHandler() {\n        var res = fn.apply(null, arguments);\n        if (res !== null) {\n            _target.$off(event, onceHandler);\n        }\n    };\n}\nfunction updateComponentListeners(vm, listeners, oldListeners) {\n    target$1 = vm;\n    updateListeners(listeners, oldListeners || {}, add$1, remove$1, createOnceHandler$1, vm);\n    target$1 = undefined;\n}\nfunction eventsMixin(Vue) {\n    var hookRE = /^hook:/;\n    Vue.prototype.$on = function (event, fn) {\n        var vm = this;\n        if (isArray(event)) {\n            for (var i = 0, l = event.length; i < l; i++) {\n                vm.$on(event[i], fn);\n            }\n        }\n        else {\n            (vm._events[event] || (vm._events[event] = [])).push(fn);\n            // optimize hook:event cost by using a boolean flag marked at registration\n            // instead of a hash lookup\n            if (hookRE.test(event)) {\n                vm._hasHookEvent = true;\n            }\n        }\n        return vm;\n    };\n    Vue.prototype.$once = function (event, fn) {\n        var vm = this;\n        function on() {\n            vm.$off(event, on);\n            fn.apply(vm, arguments);\n        }\n        on.fn = fn;\n        vm.$on(event, on);\n        return vm;\n    };\n    Vue.prototype.$off = function (event, fn) {\n        var vm = this;\n        // all\n        if (!arguments.length) {\n            vm._events = Object.create(null);\n            return vm;\n        }\n        // array of events\n        if (isArray(event)) {\n            for (var i_1 = 0, l = event.length; i_1 < l; i_1++) {\n                vm.$off(event[i_1], fn);\n            }\n            return vm;\n        }\n        // specific event\n        var cbs = vm._events[event];\n        if (!cbs) {\n            return vm;\n        }\n        if (!fn) {\n            vm._events[event] = null;\n            return vm;\n        }\n        // specific handler\n        var cb;\n        var i = cbs.length;\n        while (i--) {\n            cb = cbs[i];\n            if (cb === fn || cb.fn === fn) {\n                cbs.splice(i, 1);\n                break;\n            }\n        }\n        return vm;\n    };\n    Vue.prototype.$emit = function (event) {\n        var vm = this;\n        if (process.env.NODE_ENV !== 'production') {\n            var lowerCaseEvent = event.toLowerCase();\n            if (lowerCaseEvent !== event && vm._events[lowerCaseEvent]) {\n                tip(\"Event \\\"\".concat(lowerCaseEvent, \"\\\" is emitted in component \") +\n                    \"\".concat(formatComponentName(vm), \" but the handler is registered for \\\"\").concat(event, \"\\\". \") +\n                    \"Note that HTML attributes are case-insensitive and you cannot use \" +\n                    \"v-on to listen to camelCase events when using in-DOM templates. \" +\n                    \"You should probably use \\\"\".concat(hyphenate(event), \"\\\" instead of \\\"\").concat(event, \"\\\".\"));\n            }\n        }\n        var cbs = vm._events[event];\n        if (cbs) {\n            cbs = cbs.length > 1 ? toArray(cbs) : cbs;\n            var args = toArray(arguments, 1);\n            var info = \"event handler for \\\"\".concat(event, \"\\\"\");\n            for (var i = 0, l = cbs.length; i < l; i++) {\n                invokeWithErrorHandling(cbs[i], vm, args, vm, info);\n            }\n        }\n        return vm;\n    };\n}\n\nvar activeInstance = null;\nvar isUpdatingChildComponent = false;\nfunction setActiveInstance(vm) {\n    var prevActiveInstance = activeInstance;\n    activeInstance = vm;\n    return function () {\n        activeInstance = prevActiveInstance;\n    };\n}\nfunction initLifecycle(vm) {\n    var options = vm.$options;\n    // locate first non-abstract parent\n    var parent = options.parent;\n    if (parent && !options.abstract) {\n        while (parent.$options.abstract && parent.$parent) {\n            parent = parent.$parent;\n        }\n        parent.$children.push(vm);\n    }\n    vm.$parent = parent;\n    vm.$root = parent ? parent.$root : vm;\n    vm.$children = [];\n    vm.$refs = {};\n    vm._provided = parent ? parent._provided : Object.create(null);\n    vm._watcher = null;\n    vm._inactive = null;\n    vm._directInactive = false;\n    vm._isMounted = false;\n    vm._isDestroyed = false;\n    vm._isBeingDestroyed = false;\n}\nfunction lifecycleMixin(Vue) {\n    Vue.prototype._update = function (vnode, hydrating) {\n        var vm = this;\n        var prevEl = vm.$el;\n        var prevVnode = vm._vnode;\n        var restoreActiveInstance = setActiveInstance(vm);\n        vm._vnode = vnode;\n        // Vue.prototype.__patch__ is injected in entry points\n        // based on the rendering backend used.\n        if (!prevVnode) {\n            // initial render\n            vm.$el = vm.__patch__(vm.$el, vnode, hydrating, false /* removeOnly */);\n        }\n        else {\n            // updates\n            vm.$el = vm.__patch__(prevVnode, vnode);\n        }\n        restoreActiveInstance();\n        // update __vue__ reference\n        if (prevEl) {\n            prevEl.__vue__ = null;\n        }\n        if (vm.$el) {\n            vm.$el.__vue__ = vm;\n        }\n        // if parent is an HOC, update its $el as well\n        var wrapper = vm;\n        while (wrapper &&\n            wrapper.$vnode &&\n            wrapper.$parent &&\n            wrapper.$vnode === wrapper.$parent._vnode) {\n            wrapper.$parent.$el = wrapper.$el;\n            wrapper = wrapper.$parent;\n        }\n        // updated hook is called by the scheduler to ensure that children are\n        // updated in a parent's updated hook.\n    };\n    Vue.prototype.$forceUpdate = function () {\n        var vm = this;\n        if (vm._watcher) {\n            vm._watcher.update();\n        }\n    };\n    Vue.prototype.$destroy = function () {\n        var vm = this;\n        if (vm._isBeingDestroyed) {\n            return;\n        }\n        callHook$1(vm, 'beforeDestroy');\n        vm._isBeingDestroyed = true;\n        // remove self from parent\n        var parent = vm.$parent;\n        if (parent && !parent._isBeingDestroyed && !vm.$options.abstract) {\n            remove$2(parent.$children, vm);\n        }\n        // teardown scope. this includes both the render watcher and other\n        // watchers created\n        vm._scope.stop();\n        // remove reference from data ob\n        // frozen object may not have observer.\n        if (vm._data.__ob__) {\n            vm._data.__ob__.vmCount--;\n        }\n        // call the last hook...\n        vm._isDestroyed = true;\n        // invoke destroy hooks on current rendered tree\n        vm.__patch__(vm._vnode, null);\n        // fire destroyed hook\n        callHook$1(vm, 'destroyed');\n        // turn off all instance listeners.\n        vm.$off();\n        // remove __vue__ reference\n        if (vm.$el) {\n            vm.$el.__vue__ = null;\n        }\n        // release circular reference (#6759)\n        if (vm.$vnode) {\n            vm.$vnode.parent = null;\n        }\n    };\n}\nfunction mountComponent(vm, el, hydrating) {\n    vm.$el = el;\n    if (!vm.$options.render) {\n        // @ts-expect-error invalid type\n        vm.$options.render = createEmptyVNode;\n        if (process.env.NODE_ENV !== 'production') {\n            /* istanbul ignore if */\n            if ((vm.$options.template && vm.$options.template.charAt(0) !== '#') ||\n                vm.$options.el ||\n                el) {\n                warn('You are using the runtime-only build of Vue where the template ' +\n                    'compiler is not available. Either pre-compile the templates into ' +\n                    'render functions, or use the compiler-included build.', vm);\n            }\n            else {\n                warn('Failed to mount component: template or render function not defined.', vm);\n            }\n        }\n    }\n    callHook$1(vm, 'beforeMount');\n    var updateComponent;\n    /* istanbul ignore if */\n    if (process.env.NODE_ENV !== 'production' && config.performance && mark) {\n        updateComponent = function () {\n            var name = vm._name;\n            var id = vm._uid;\n            var startTag = \"vue-perf-start:\".concat(id);\n            var endTag = \"vue-perf-end:\".concat(id);\n            mark(startTag);\n            var vnode = vm._render();\n            mark(endTag);\n            measure(\"vue \".concat(name, \" render\"), startTag, endTag);\n            mark(startTag);\n            vm._update(vnode, hydrating);\n            mark(endTag);\n            measure(\"vue \".concat(name, \" patch\"), startTag, endTag);\n        };\n    }\n    else {\n        updateComponent = function () {\n            vm._update(vm._render(), hydrating);\n        };\n    }\n    var watcherOptions = {\n        before: function () {\n            if (vm._isMounted && !vm._isDestroyed) {\n                callHook$1(vm, 'beforeUpdate');\n            }\n        }\n    };\n    if (process.env.NODE_ENV !== 'production') {\n        watcherOptions.onTrack = function (e) { return callHook$1(vm, 'renderTracked', [e]); };\n        watcherOptions.onTrigger = function (e) { return callHook$1(vm, 'renderTriggered', [e]); };\n    }\n    // we set this to vm._watcher inside the watcher's constructor\n    // since the watcher's initial patch may call $forceUpdate (e.g. inside child\n    // component's mounted hook), which relies on vm._watcher being already defined\n    new Watcher(vm, updateComponent, noop, watcherOptions, true /* isRenderWatcher */);\n    hydrating = false;\n    // flush buffer for flush: \"pre\" watchers queued in setup()\n    var preWatchers = vm._preWatchers;\n    if (preWatchers) {\n        for (var i = 0; i < preWatchers.length; i++) {\n            preWatchers[i].run();\n        }\n    }\n    // manually mounted instance, call mounted on self\n    // mounted is called for render-created child components in its inserted hook\n    if (vm.$vnode == null) {\n        vm._isMounted = true;\n        callHook$1(vm, 'mounted');\n    }\n    return vm;\n}\nfunction updateChildComponent(vm, propsData, listeners, parentVnode, renderChildren) {\n    if (process.env.NODE_ENV !== 'production') {\n        isUpdatingChildComponent = true;\n    }\n    // determine whether component has slot children\n    // we need to do this before overwriting $options._renderChildren.\n    // check if there are dynamic scopedSlots (hand-written or compiled but with\n    // dynamic slot names). Static scoped slots compiled from template has the\n    // \"$stable\" marker.\n    var newScopedSlots = parentVnode.data.scopedSlots;\n    var oldScopedSlots = vm.$scopedSlots;\n    var hasDynamicScopedSlot = !!((newScopedSlots && !newScopedSlots.$stable) ||\n        (oldScopedSlots !== emptyObject && !oldScopedSlots.$stable) ||\n        (newScopedSlots && vm.$scopedSlots.$key !== newScopedSlots.$key) ||\n        (!newScopedSlots && vm.$scopedSlots.$key));\n    // Any static slot children from the parent may have changed during parent's\n    // update. Dynamic scoped slots may also have changed. In such cases, a forced\n    // update is necessary to ensure correctness.\n    var needsForceUpdate = !!(renderChildren || // has new static slots\n        vm.$options._renderChildren || // has old static slots\n        hasDynamicScopedSlot);\n    var prevVNode = vm.$vnode;\n    vm.$options._parentVnode = parentVnode;\n    vm.$vnode = parentVnode; // update vm's placeholder node without re-render\n    if (vm._vnode) {\n        // update child tree's parent\n        vm._vnode.parent = parentVnode;\n    }\n    vm.$options._renderChildren = renderChildren;\n    // update $attrs and $listeners hash\n    // these are also reactive so they may trigger child update if the child\n    // used them during render\n    var attrs = parentVnode.data.attrs || emptyObject;\n    if (vm._attrsProxy) {\n        // force update if attrs are accessed and has changed since it may be\n        // passed to a child component.\n        if (syncSetupProxy(vm._attrsProxy, attrs, (prevVNode.data && prevVNode.data.attrs) || emptyObject, vm, '$attrs')) {\n            needsForceUpdate = true;\n        }\n    }\n    vm.$attrs = attrs;\n    // update listeners\n    listeners = listeners || emptyObject;\n    var prevListeners = vm.$options._parentListeners;\n    if (vm._listenersProxy) {\n        syncSetupProxy(vm._listenersProxy, listeners, prevListeners || emptyObject, vm, '$listeners');\n    }\n    vm.$listeners = vm.$options._parentListeners = listeners;\n    updateComponentListeners(vm, listeners, prevListeners);\n    // update props\n    if (propsData && vm.$options.props) {\n        toggleObserving(false);\n        var props = vm._props;\n        var propKeys = vm.$options._propKeys || [];\n        for (var i = 0; i < propKeys.length; i++) {\n            var key = propKeys[i];\n            var propOptions = vm.$options.props; // wtf flow?\n            props[key] = validateProp(key, propOptions, propsData, vm);\n        }\n        toggleObserving(true);\n        // keep a copy of raw propsData\n        vm.$options.propsData = propsData;\n    }\n    // resolve slots + force update if has children\n    if (needsForceUpdate) {\n        vm.$slots = resolveSlots(renderChildren, parentVnode.context);\n        vm.$forceUpdate();\n    }\n    if (process.env.NODE_ENV !== 'production') {\n        isUpdatingChildComponent = false;\n    }\n}\nfunction isInInactiveTree(vm) {\n    while (vm && (vm = vm.$parent)) {\n        if (vm._inactive)\n            return true;\n    }\n    return false;\n}\nfunction activateChildComponent(vm, direct) {\n    if (direct) {\n        vm._directInactive = false;\n        if (isInInactiveTree(vm)) {\n            return;\n        }\n    }\n    else if (vm._directInactive) {\n        return;\n    }\n    if (vm._inactive || vm._inactive === null) {\n        vm._inactive = false;\n        for (var i = 0; i < vm.$children.length; i++) {\n            activateChildComponent(vm.$children[i]);\n        }\n        callHook$1(vm, 'activated');\n    }\n}\nfunction deactivateChildComponent(vm, direct) {\n    if (direct) {\n        vm._directInactive = true;\n        if (isInInactiveTree(vm)) {\n            return;\n        }\n    }\n    if (!vm._inactive) {\n        vm._inactive = true;\n        for (var i = 0; i < vm.$children.length; i++) {\n            deactivateChildComponent(vm.$children[i]);\n        }\n        callHook$1(vm, 'deactivated');\n    }\n}\nfunction callHook$1(vm, hook, args, setContext) {\n    if (setContext === void 0) { setContext = true; }\n    // #7573 disable dep collection when invoking lifecycle hooks\n    pushTarget();\n    var prev = currentInstance;\n    setContext && setCurrentInstance(vm);\n    var handlers = vm.$options[hook];\n    var info = \"\".concat(hook, \" hook\");\n    if (handlers) {\n        for (var i = 0, j = handlers.length; i < j; i++) {\n            invokeWithErrorHandling(handlers[i], vm, args || null, vm, info);\n        }\n    }\n    if (vm._hasHookEvent) {\n        vm.$emit('hook:' + hook);\n    }\n    setContext && setCurrentInstance(prev);\n    popTarget();\n}\n\nvar MAX_UPDATE_COUNT = 100;\nvar queue = [];\nvar activatedChildren = [];\nvar has = {};\nvar circular = {};\nvar waiting = false;\nvar flushing = false;\nvar index = 0;\n/**\n * Reset the scheduler's state.\n */\nfunction resetSchedulerState() {\n    index = queue.length = activatedChildren.length = 0;\n    has = {};\n    if (process.env.NODE_ENV !== 'production') {\n        circular = {};\n    }\n    waiting = flushing = false;\n}\n// Async edge case #6566 requires saving the timestamp when event listeners are\n// attached. However, calling performance.now() has a perf overhead especially\n// if the page has thousands of event listeners. Instead, we take a timestamp\n// every time the scheduler flushes and use that for all event listeners\n// attached during that flush.\nvar currentFlushTimestamp = 0;\n// Async edge case fix requires storing an event listener's attach timestamp.\nvar getNow = Date.now;\n// Determine what event timestamp the browser is using. Annoyingly, the\n// timestamp can either be hi-res (relative to page load) or low-res\n// (relative to UNIX epoch), so in order to compare time we have to use the\n// same timestamp type when saving the flush timestamp.\n// All IE versions use low-res event timestamps, and have problematic clock\n// implementations (#9632)\nif (inBrowser && !isIE) {\n    var performance_1 = window.performance;\n    if (performance_1 &&\n        typeof performance_1.now === 'function' &&\n        getNow() > document.createEvent('Event').timeStamp) {\n        // if the event timestamp, although evaluated AFTER the Date.now(), is\n        // smaller than it, it means the event is using a hi-res timestamp,\n        // and we need to use the hi-res version for event listener timestamps as\n        // well.\n        getNow = function () { return performance_1.now(); };\n    }\n}\nvar sortCompareFn = function (a, b) {\n    if (a.post) {\n        if (!b.post)\n            return 1;\n    }\n    else if (b.post) {\n        return -1;\n    }\n    return a.id - b.id;\n};\n/**\n * Flush both queues and run the watchers.\n */\nfunction flushSchedulerQueue() {\n    currentFlushTimestamp = getNow();\n    flushing = true;\n    var watcher, id;\n    // Sort queue before flush.\n    // This ensures that:\n    // 1. Components are updated from parent to child. (because parent is always\n    //    created before the child)\n    // 2. A component's user watchers are run before its render watcher (because\n    //    user watchers are created before the render watcher)\n    // 3. If a component is destroyed during a parent component's watcher run,\n    //    its watchers can be skipped.\n    queue.sort(sortCompareFn);\n    // do not cache length because more watchers might be pushed\n    // as we run existing watchers\n    for (index = 0; index < queue.length; index++) {\n        watcher = queue[index];\n        if (watcher.before) {\n            watcher.before();\n        }\n        id = watcher.id;\n        has[id] = null;\n        watcher.run();\n        // in dev build, check and stop circular updates.\n        if (process.env.NODE_ENV !== 'production' && has[id] != null) {\n            circular[id] = (circular[id] || 0) + 1;\n            if (circular[id] > MAX_UPDATE_COUNT) {\n                warn('You may have an infinite update loop ' +\n                    (watcher.user\n                        ? \"in watcher with expression \\\"\".concat(watcher.expression, \"\\\"\")\n                        : \"in a component render function.\"), watcher.vm);\n                break;\n            }\n        }\n    }\n    // keep copies of post queues before resetting state\n    var activatedQueue = activatedChildren.slice();\n    var updatedQueue = queue.slice();\n    resetSchedulerState();\n    // call component updated and activated hooks\n    callActivatedHooks(activatedQueue);\n    callUpdatedHooks(updatedQueue);\n    cleanupDeps();\n    // devtool hook\n    /* istanbul ignore if */\n    if (devtools && config.devtools) {\n        devtools.emit('flush');\n    }\n}\nfunction callUpdatedHooks(queue) {\n    var i = queue.length;\n    while (i--) {\n        var watcher = queue[i];\n        var vm = watcher.vm;\n        if (vm && vm._watcher === watcher && vm._isMounted && !vm._isDestroyed) {\n            callHook$1(vm, 'updated');\n        }\n    }\n}\n/**\n * Queue a kept-alive component that was activated during patch.\n * The queue will be processed after the entire tree has been patched.\n */\nfunction queueActivatedComponent(vm) {\n    // setting _inactive to false here so that a render function can\n    // rely on checking whether it's in an inactive tree (e.g. router-view)\n    vm._inactive = false;\n    activatedChildren.push(vm);\n}\nfunction callActivatedHooks(queue) {\n    for (var i = 0; i < queue.length; i++) {\n        queue[i]._inactive = true;\n        activateChildComponent(queue[i], true /* true */);\n    }\n}\n/**\n * Push a watcher into the watcher queue.\n * Jobs with duplicate IDs will be skipped unless it's\n * pushed when the queue is being flushed.\n */\nfunction queueWatcher(watcher) {\n    var id = watcher.id;\n    if (has[id] != null) {\n        return;\n    }\n    if (watcher === Dep.target && watcher.noRecurse) {\n        return;\n    }\n    has[id] = true;\n    if (!flushing) {\n        queue.push(watcher);\n    }\n    else {\n        // if already flushing, splice the watcher based on its id\n        // if already past its id, it will be run next immediately.\n        var i = queue.length - 1;\n        while (i > index && queue[i].id > watcher.id) {\n            i--;\n        }\n        queue.splice(i + 1, 0, watcher);\n    }\n    // queue the flush\n    if (!waiting) {\n        waiting = true;\n        if (process.env.NODE_ENV !== 'production' && !config.async) {\n            flushSchedulerQueue();\n            return;\n        }\n        nextTick(flushSchedulerQueue);\n    }\n}\n\nfunction initProvide(vm) {\n    var provideOption = vm.$options.provide;\n    if (provideOption) {\n        var provided = isFunction(provideOption)\n            ? provideOption.call(vm)\n            : provideOption;\n        if (!isObject(provided)) {\n            return;\n        }\n        var source = resolveProvided(vm);\n        // IE9 doesn't support Object.getOwnPropertyDescriptors so we have to\n        // iterate the keys ourselves.\n        var keys = hasSymbol ? Reflect.ownKeys(provided) : Object.keys(provided);\n        for (var i = 0; i < keys.length; i++) {\n            var key = keys[i];\n            Object.defineProperty(source, key, Object.getOwnPropertyDescriptor(provided, key));\n        }\n    }\n}\nfunction initInjections(vm) {\n    var result = resolveInject(vm.$options.inject, vm);\n    if (result) {\n        toggleObserving(false);\n        Object.keys(result).forEach(function (key) {\n            /* istanbul ignore else */\n            if (process.env.NODE_ENV !== 'production') {\n                defineReactive(vm, key, result[key], function () {\n                    warn(\"Avoid mutating an injected value directly since the changes will be \" +\n                        \"overwritten whenever the provided component re-renders. \" +\n                        \"injection being mutated: \\\"\".concat(key, \"\\\"\"), vm);\n                });\n            }\n            else {\n                defineReactive(vm, key, result[key]);\n            }\n        });\n        toggleObserving(true);\n    }\n}\nfunction resolveInject(inject, vm) {\n    if (inject) {\n        // inject is :any because flow is not smart enough to figure out cached\n        var result = Object.create(null);\n        var keys = hasSymbol ? Reflect.ownKeys(inject) : Object.keys(inject);\n        for (var i = 0; i < keys.length; i++) {\n            var key = keys[i];\n            // #6574 in case the inject object is observed...\n            if (key === '__ob__')\n                continue;\n            var provideKey = inject[key].from;\n            if (provideKey in vm._provided) {\n                result[key] = vm._provided[provideKey];\n            }\n            else if ('default' in inject[key]) {\n                var provideDefault = inject[key].default;\n                result[key] = isFunction(provideDefault)\n                    ? provideDefault.call(vm)\n                    : provideDefault;\n            }\n            else if (process.env.NODE_ENV !== 'production') {\n                warn(\"Injection \\\"\".concat(key, \"\\\" not found\"), vm);\n            }\n        }\n        return result;\n    }\n}\n\nfunction FunctionalRenderContext(data, props, children, parent, Ctor) {\n    var _this = this;\n    var options = Ctor.options;\n    // ensure the createElement function in functional components\n    // gets a unique context - this is necessary for correct named slot check\n    var contextVm;\n    if (hasOwn(parent, '_uid')) {\n        contextVm = Object.create(parent);\n        contextVm._original = parent;\n    }\n    else {\n        // the context vm passed in is a functional context as well.\n        // in this case we want to make sure we are able to get a hold to the\n        // real context instance.\n        contextVm = parent;\n        // @ts-ignore\n        parent = parent._original;\n    }\n    var isCompiled = isTrue(options._compiled);\n    var needNormalization = !isCompiled;\n    this.data = data;\n    this.props = props;\n    this.children = children;\n    this.parent = parent;\n    this.listeners = data.on || emptyObject;\n    this.injections = resolveInject(options.inject, parent);\n    this.slots = function () {\n        if (!_this.$slots) {\n            normalizeScopedSlots(parent, data.scopedSlots, (_this.$slots = resolveSlots(children, parent)));\n        }\n        return _this.$slots;\n    };\n    Object.defineProperty(this, 'scopedSlots', {\n        enumerable: true,\n        get: function () {\n            return normalizeScopedSlots(parent, data.scopedSlots, this.slots());\n        }\n    });\n    // support for compiled functional template\n    if (isCompiled) {\n        // exposing $options for renderStatic()\n        this.$options = options;\n        // pre-resolve slots for renderSlot()\n        this.$slots = this.slots();\n        this.$scopedSlots = normalizeScopedSlots(parent, data.scopedSlots, this.$slots);\n    }\n    if (options._scopeId) {\n        this._c = function (a, b, c, d) {\n            var vnode = createElement$1(contextVm, a, b, c, d, needNormalization);\n            if (vnode && !isArray(vnode)) {\n                vnode.fnScopeId = options._scopeId;\n                vnode.fnContext = parent;\n            }\n            return vnode;\n        };\n    }\n    else {\n        this._c = function (a, b, c, d) {\n            return createElement$1(contextVm, a, b, c, d, needNormalization);\n        };\n    }\n}\ninstallRenderHelpers(FunctionalRenderContext.prototype);\nfunction createFunctionalComponent(Ctor, propsData, data, contextVm, children) {\n    var options = Ctor.options;\n    var props = {};\n    var propOptions = options.props;\n    if (isDef(propOptions)) {\n        for (var key in propOptions) {\n            props[key] = validateProp(key, propOptions, propsData || emptyObject);\n        }\n    }\n    else {\n        if (isDef(data.attrs))\n            mergeProps(props, data.attrs);\n        if (isDef(data.props))\n            mergeProps(props, data.props);\n    }\n    var renderContext = new FunctionalRenderContext(data, props, children, contextVm, Ctor);\n    var vnode = options.render.call(null, renderContext._c, renderContext);\n    if (vnode instanceof VNode) {\n        return cloneAndMarkFunctionalResult(vnode, data, renderContext.parent, options, renderContext);\n    }\n    else if (isArray(vnode)) {\n        var vnodes = normalizeChildren(vnode) || [];\n        var res = new Array(vnodes.length);\n        for (var i = 0; i < vnodes.length; i++) {\n            res[i] = cloneAndMarkFunctionalResult(vnodes[i], data, renderContext.parent, options, renderContext);\n        }\n        return res;\n    }\n}\nfunction cloneAndMarkFunctionalResult(vnode, data, contextVm, options, renderContext) {\n    // #7817 clone node before setting fnContext, otherwise if the node is reused\n    // (e.g. it was from a cached normal slot) the fnContext causes named slots\n    // that should not be matched to match.\n    var clone = cloneVNode(vnode);\n    clone.fnContext = contextVm;\n    clone.fnOptions = options;\n    if (process.env.NODE_ENV !== 'production') {\n        (clone.devtoolsMeta = clone.devtoolsMeta || {}).renderContext =\n            renderContext;\n    }\n    if (data.slot) {\n        (clone.data || (clone.data = {})).slot = data.slot;\n    }\n    return clone;\n}\nfunction mergeProps(to, from) {\n    for (var key in from) {\n        to[camelize(key)] = from[key];\n    }\n}\n\nfunction getComponentName(options) {\n    return options.name || options.__name || options._componentTag;\n}\n// inline hooks to be invoked on component VNodes during patch\nvar componentVNodeHooks = {\n    init: function (vnode, hydrating) {\n        if (vnode.componentInstance &&\n            !vnode.componentInstance._isDestroyed &&\n            vnode.data.keepAlive) {\n            // kept-alive components, treat as a patch\n            var mountedNode = vnode; // work around flow\n            componentVNodeHooks.prepatch(mountedNode, mountedNode);\n        }\n        else {\n            var child = (vnode.componentInstance = createComponentInstanceForVnode(vnode, activeInstance));\n            child.$mount(hydrating ? vnode.elm : undefined, hydrating);\n        }\n    },\n    prepatch: function (oldVnode, vnode) {\n        var options = vnode.componentOptions;\n        var child = (vnode.componentInstance = oldVnode.componentInstance);\n        updateChildComponent(child, options.propsData, // updated props\n        options.listeners, // updated listeners\n        vnode, // new parent vnode\n        options.children // new children\n        );\n    },\n    insert: function (vnode) {\n        var context = vnode.context, componentInstance = vnode.componentInstance;\n        if (!componentInstance._isMounted) {\n            componentInstance._isMounted = true;\n            callHook$1(componentInstance, 'mounted');\n        }\n        if (vnode.data.keepAlive) {\n            if (context._isMounted) {\n                // vue-router#1212\n                // During updates, a kept-alive component's child components may\n                // change, so directly walking the tree here may call activated hooks\n                // on incorrect children. Instead we push them into a queue which will\n                // be processed after the whole patch process ended.\n                queueActivatedComponent(componentInstance);\n            }\n            else {\n                activateChildComponent(componentInstance, true /* direct */);\n            }\n        }\n    },\n    destroy: function (vnode) {\n        var componentInstance = vnode.componentInstance;\n        if (!componentInstance._isDestroyed) {\n            if (!vnode.data.keepAlive) {\n                componentInstance.$destroy();\n            }\n            else {\n                deactivateChildComponent(componentInstance, true /* direct */);\n            }\n        }\n    }\n};\nvar hooksToMerge = Object.keys(componentVNodeHooks);\nfunction createComponent(Ctor, data, context, children, tag) {\n    if (isUndef(Ctor)) {\n        return;\n    }\n    var baseCtor = context.$options._base;\n    // plain options object: turn it into a constructor\n    if (isObject(Ctor)) {\n        Ctor = baseCtor.extend(Ctor);\n    }\n    // if at this stage it's not a constructor or an async component factory,\n    // reject.\n    if (typeof Ctor !== 'function') {\n        if (process.env.NODE_ENV !== 'production') {\n            warn(\"Invalid Component definition: \".concat(String(Ctor)), context);\n        }\n        return;\n    }\n    // async component\n    var asyncFactory;\n    // @ts-expect-error\n    if (isUndef(Ctor.cid)) {\n        asyncFactory = Ctor;\n        Ctor = resolveAsyncComponent(asyncFactory, baseCtor);\n        if (Ctor === undefined) {\n            // return a placeholder node for async component, which is rendered\n            // as a comment node but preserves all the raw information for the node.\n            // the information will be used for async server-rendering and hydration.\n            return createAsyncPlaceholder(asyncFactory, data, context, children, tag);\n        }\n    }\n    data = data || {};\n    // resolve constructor options in case global mixins are applied after\n    // component constructor creation\n    resolveConstructorOptions(Ctor);\n    // transform component v-model data into props & events\n    if (isDef(data.model)) {\n        // @ts-expect-error\n        transformModel(Ctor.options, data);\n    }\n    // extract props\n    // @ts-expect-error\n    var propsData = extractPropsFromVNodeData(data, Ctor, tag);\n    // functional component\n    // @ts-expect-error\n    if (isTrue(Ctor.options.functional)) {\n        return createFunctionalComponent(Ctor, propsData, data, context, children);\n    }\n    // extract listeners, since these needs to be treated as\n    // child component listeners instead of DOM listeners\n    var listeners = data.on;\n    // replace with listeners with .native modifier\n    // so it gets processed during parent component patch.\n    data.on = data.nativeOn;\n    // @ts-expect-error\n    if (isTrue(Ctor.options.abstract)) {\n        // abstract components do not keep anything\n        // other than props & listeners & slot\n        // work around flow\n        var slot = data.slot;\n        data = {};\n        if (slot) {\n            data.slot = slot;\n        }\n    }\n    // install component management hooks onto the placeholder node\n    installComponentHooks(data);\n    // return a placeholder vnode\n    // @ts-expect-error\n    var name = getComponentName(Ctor.options) || tag;\n    var vnode = new VNode(\n    // @ts-expect-error\n    \"vue-component-\".concat(Ctor.cid).concat(name ? \"-\".concat(name) : ''), data, undefined, undefined, undefined, context, \n    // @ts-expect-error\n    { Ctor: Ctor, propsData: propsData, listeners: listeners, tag: tag, children: children }, asyncFactory);\n    return vnode;\n}\nfunction createComponentInstanceForVnode(\n// we know it's MountedComponentVNode but flow doesn't\nvnode, \n// activeInstance in lifecycle state\nparent) {\n    var options = {\n        _isComponent: true,\n        _parentVnode: vnode,\n        parent: parent\n    };\n    // check inline-template render functions\n    var inlineTemplate = vnode.data.inlineTemplate;\n    if (isDef(inlineTemplate)) {\n        options.render = inlineTemplate.render;\n        options.staticRenderFns = inlineTemplate.staticRenderFns;\n    }\n    return new vnode.componentOptions.Ctor(options);\n}\nfunction installComponentHooks(data) {\n    var hooks = data.hook || (data.hook = {});\n    for (var i = 0; i < hooksToMerge.length; i++) {\n        var key = hooksToMerge[i];\n        var existing = hooks[key];\n        var toMerge = componentVNodeHooks[key];\n        // @ts-expect-error\n        if (existing !== toMerge && !(existing && existing._merged)) {\n            hooks[key] = existing ? mergeHook(toMerge, existing) : toMerge;\n        }\n    }\n}\nfunction mergeHook(f1, f2) {\n    var merged = function (a, b) {\n        // flow complains about extra args which is why we use any\n        f1(a, b);\n        f2(a, b);\n    };\n    merged._merged = true;\n    return merged;\n}\n// transform component v-model info (value and callback) into\n// prop and event handler respectively.\nfunction transformModel(options, data) {\n    var prop = (options.model && options.model.prop) || 'value';\n    var event = (options.model && options.model.event) || 'input';\n    (data.attrs || (data.attrs = {}))[prop] = data.model.value;\n    var on = data.on || (data.on = {});\n    var existing = on[event];\n    var callback = data.model.callback;\n    if (isDef(existing)) {\n        if (isArray(existing)\n            ? existing.indexOf(callback) === -1\n            : existing !== callback) {\n            on[event] = [callback].concat(existing);\n        }\n    }\n    else {\n        on[event] = callback;\n    }\n}\n\nvar warn = noop;\nvar tip = noop;\nvar generateComponentTrace; // work around flow check\nvar formatComponentName;\nif (process.env.NODE_ENV !== 'production') {\n    var hasConsole_1 = typeof console !== 'undefined';\n    var classifyRE_1 = /(?:^|[-_])(\\w)/g;\n    var classify_1 = function (str) {\n        return str.replace(classifyRE_1, function (c) { return c.toUpperCase(); }).replace(/[-_]/g, '');\n    };\n    warn = function (msg, vm) {\n        if (vm === void 0) { vm = currentInstance; }\n        var trace = vm ? generateComponentTrace(vm) : '';\n        if (config.warnHandler) {\n            config.warnHandler.call(null, msg, vm, trace);\n        }\n        else if (hasConsole_1 && !config.silent) {\n            console.error(\"[Vue warn]: \".concat(msg).concat(trace));\n        }\n    };\n    tip = function (msg, vm) {\n        if (hasConsole_1 && !config.silent) {\n            console.warn(\"[Vue tip]: \".concat(msg) + (vm ? generateComponentTrace(vm) : ''));\n        }\n    };\n    formatComponentName = function (vm, includeFile) {\n        if (vm.$root === vm) {\n            return '<Root>';\n        }\n        var options = isFunction(vm) && vm.cid != null\n            ? vm.options\n            : vm._isVue\n                ? vm.$options || vm.constructor.options\n                : vm;\n        var name = getComponentName(options);\n        var file = options.__file;\n        if (!name && file) {\n            var match = file.match(/([^/\\\\]+)\\.vue$/);\n            name = match && match[1];\n        }\n        return ((name ? \"<\".concat(classify_1(name), \">\") : \"<Anonymous>\") +\n            (file && includeFile !== false ? \" at \".concat(file) : ''));\n    };\n    var repeat_1 = function (str, n) {\n        var res = '';\n        while (n) {\n            if (n % 2 === 1)\n                res += str;\n            if (n > 1)\n                str += str;\n            n >>= 1;\n        }\n        return res;\n    };\n    generateComponentTrace = function (vm) {\n        if (vm._isVue && vm.$parent) {\n            var tree = [];\n            var currentRecursiveSequence = 0;\n            while (vm) {\n                if (tree.length > 0) {\n                    var last = tree[tree.length - 1];\n                    if (last.constructor === vm.constructor) {\n                        currentRecursiveSequence++;\n                        vm = vm.$parent;\n                        continue;\n                    }\n                    else if (currentRecursiveSequence > 0) {\n                        tree[tree.length - 1] = [last, currentRecursiveSequence];\n                        currentRecursiveSequence = 0;\n                    }\n                }\n                tree.push(vm);\n                vm = vm.$parent;\n            }\n            return ('\\n\\nfound in\\n\\n' +\n                tree\n                    .map(function (vm, i) {\n                    return \"\".concat(i === 0 ? '---> ' : repeat_1(' ', 5 + i * 2)).concat(isArray(vm)\n                        ? \"\".concat(formatComponentName(vm[0]), \"... (\").concat(vm[1], \" recursive calls)\")\n                        : formatComponentName(vm));\n                })\n                    .join('\\n'));\n        }\n        else {\n            return \"\\n\\n(found in \".concat(formatComponentName(vm), \")\");\n        }\n    };\n}\n\n/**\n * Option overwriting strategies are functions that handle\n * how to merge a parent option value and a child option\n * value into the final value.\n */\nvar strats = config.optionMergeStrategies;\n/**\n * Options with restrictions\n */\nif (process.env.NODE_ENV !== 'production') {\n    strats.el = strats.propsData = function (parent, child, vm, key) {\n        if (!vm) {\n            warn(\"option \\\"\".concat(key, \"\\\" can only be used during instance \") +\n                'creation with the `new` keyword.');\n        }\n        return defaultStrat(parent, child);\n    };\n}\n/**\n * Helper that recursively merges two data objects together.\n */\nfunction mergeData(to, from, recursive) {\n    if (recursive === void 0) { recursive = true; }\n    if (!from)\n        return to;\n    var key, toVal, fromVal;\n    var keys = hasSymbol\n        ? Reflect.ownKeys(from)\n        : Object.keys(from);\n    for (var i = 0; i < keys.length; i++) {\n        key = keys[i];\n        // in case the object is already observed...\n        if (key === '__ob__')\n            continue;\n        toVal = to[key];\n        fromVal = from[key];\n        if (!recursive || !hasOwn(to, key)) {\n            set(to, key, fromVal);\n        }\n        else if (toVal !== fromVal &&\n            isPlainObject(toVal) &&\n            isPlainObject(fromVal)) {\n            mergeData(toVal, fromVal);\n        }\n    }\n    return to;\n}\n/**\n * Data\n */\nfunction mergeDataOrFn(parentVal, childVal, vm) {\n    if (!vm) {\n        // in a Vue.extend merge, both should be functions\n        if (!childVal) {\n            return parentVal;\n        }\n        if (!parentVal) {\n            return childVal;\n        }\n        // when parentVal & childVal are both present,\n        // we need to return a function that returns the\n        // merged result of both functions... no need to\n        // check if parentVal is a function here because\n        // it has to be a function to pass previous merges.\n        return function mergedDataFn() {\n            return mergeData(isFunction(childVal) ? childVal.call(this, this) : childVal, isFunction(parentVal) ? parentVal.call(this, this) : parentVal);\n        };\n    }\n    else {\n        return function mergedInstanceDataFn() {\n            // instance merge\n            var instanceData = isFunction(childVal)\n                ? childVal.call(vm, vm)\n                : childVal;\n            var defaultData = isFunction(parentVal)\n                ? parentVal.call(vm, vm)\n                : parentVal;\n            if (instanceData) {\n                return mergeData(instanceData, defaultData);\n            }\n            else {\n                return defaultData;\n            }\n        };\n    }\n}\nstrats.data = function (parentVal, childVal, vm) {\n    if (!vm) {\n        if (childVal && typeof childVal !== 'function') {\n            process.env.NODE_ENV !== 'production' &&\n                warn('The \"data\" option should be a function ' +\n                    'that returns a per-instance value in component ' +\n                    'definitions.', vm);\n            return parentVal;\n        }\n        return mergeDataOrFn(parentVal, childVal);\n    }\n    return mergeDataOrFn(parentVal, childVal, vm);\n};\n/**\n * Hooks and props are merged as arrays.\n */\nfunction mergeLifecycleHook(parentVal, childVal) {\n    var res = childVal\n        ? parentVal\n            ? parentVal.concat(childVal)\n            : isArray(childVal)\n                ? childVal\n                : [childVal]\n        : parentVal;\n    return res ? dedupeHooks(res) : res;\n}\nfunction dedupeHooks(hooks) {\n    var res = [];\n    for (var i = 0; i < hooks.length; i++) {\n        if (res.indexOf(hooks[i]) === -1) {\n            res.push(hooks[i]);\n        }\n    }\n    return res;\n}\nLIFECYCLE_HOOKS.forEach(function (hook) {\n    strats[hook] = mergeLifecycleHook;\n});\n/**\n * Assets\n *\n * When a vm is present (instance creation), we need to do\n * a three-way merge between constructor options, instance\n * options and parent options.\n */\nfunction mergeAssets(parentVal, childVal, vm, key) {\n    var res = Object.create(parentVal || null);\n    if (childVal) {\n        process.env.NODE_ENV !== 'production' && assertObjectType(key, childVal, vm);\n        return extend(res, childVal);\n    }\n    else {\n        return res;\n    }\n}\nASSET_TYPES.forEach(function (type) {\n    strats[type + 's'] = mergeAssets;\n});\n/**\n * Watchers.\n *\n * Watchers hashes should not overwrite one\n * another, so we merge them as arrays.\n */\nstrats.watch = function (parentVal, childVal, vm, key) {\n    // work around Firefox's Object.prototype.watch...\n    //@ts-expect-error work around\n    if (parentVal === nativeWatch)\n        parentVal = undefined;\n    //@ts-expect-error work around\n    if (childVal === nativeWatch)\n        childVal = undefined;\n    /* istanbul ignore if */\n    if (!childVal)\n        return Object.create(parentVal || null);\n    if (process.env.NODE_ENV !== 'production') {\n        assertObjectType(key, childVal, vm);\n    }\n    if (!parentVal)\n        return childVal;\n    var ret = {};\n    extend(ret, parentVal);\n    for (var key_1 in childVal) {\n        var parent_1 = ret[key_1];\n        var child = childVal[key_1];\n        if (parent_1 && !isArray(parent_1)) {\n            parent_1 = [parent_1];\n        }\n        ret[key_1] = parent_1 ? parent_1.concat(child) : isArray(child) ? child : [child];\n    }\n    return ret;\n};\n/**\n * Other object hashes.\n */\nstrats.props =\n    strats.methods =\n        strats.inject =\n            strats.computed =\n                function (parentVal, childVal, vm, key) {\n                    if (childVal && process.env.NODE_ENV !== 'production') {\n                        assertObjectType(key, childVal, vm);\n                    }\n                    if (!parentVal)\n                        return childVal;\n                    var ret = Object.create(null);\n                    extend(ret, parentVal);\n                    if (childVal)\n                        extend(ret, childVal);\n                    return ret;\n                };\nstrats.provide = function (parentVal, childVal) {\n    if (!parentVal)\n        return childVal;\n    return function () {\n        var ret = Object.create(null);\n        mergeData(ret, isFunction(parentVal) ? parentVal.call(this) : parentVal);\n        if (childVal) {\n            mergeData(ret, isFunction(childVal) ? childVal.call(this) : childVal, false // non-recursive\n            );\n        }\n        return ret;\n    };\n};\n/**\n * Default strategy.\n */\nvar defaultStrat = function (parentVal, childVal) {\n    return childVal === undefined ? parentVal : childVal;\n};\n/**\n * Validate component names\n */\nfunction checkComponents(options) {\n    for (var key in options.components) {\n        validateComponentName(key);\n    }\n}\nfunction validateComponentName(name) {\n    if (!new RegExp(\"^[a-zA-Z][\\\\-\\\\.0-9_\".concat(unicodeRegExp.source, \"]*$\")).test(name)) {\n        warn('Invalid component name: \"' +\n            name +\n            '\". Component names ' +\n            'should conform to valid custom element name in html5 specification.');\n    }\n    if (isBuiltInTag(name) || config.isReservedTag(name)) {\n        warn('Do not use built-in or reserved HTML elements as component ' +\n            'id: ' +\n            name);\n    }\n}\n/**\n * Ensure all props option syntax are normalized into the\n * Object-based format.\n */\nfunction normalizeProps(options, vm) {\n    var props = options.props;\n    if (!props)\n        return;\n    var res = {};\n    var i, val, name;\n    if (isArray(props)) {\n        i = props.length;\n        while (i--) {\n            val = props[i];\n            if (typeof val === 'string') {\n                name = camelize(val);\n                res[name] = { type: null };\n            }\n            else if (process.env.NODE_ENV !== 'production') {\n                warn('props must be strings when using array syntax.');\n            }\n        }\n    }\n    else if (isPlainObject(props)) {\n        for (var key in props) {\n            val = props[key];\n            name = camelize(key);\n            res[name] = isPlainObject(val) ? val : { type: val };\n        }\n    }\n    else if (process.env.NODE_ENV !== 'production') {\n        warn(\"Invalid value for option \\\"props\\\": expected an Array or an Object, \" +\n            \"but got \".concat(toRawType(props), \".\"), vm);\n    }\n    options.props = res;\n}\n/**\n * Normalize all injections into Object-based format\n */\nfunction normalizeInject(options, vm) {\n    var inject = options.inject;\n    if (!inject)\n        return;\n    var normalized = (options.inject = {});\n    if (isArray(inject)) {\n        for (var i = 0; i < inject.length; i++) {\n            normalized[inject[i]] = { from: inject[i] };\n        }\n    }\n    else if (isPlainObject(inject)) {\n        for (var key in inject) {\n            var val = inject[key];\n            normalized[key] = isPlainObject(val)\n                ? extend({ from: key }, val)\n                : { from: val };\n        }\n    }\n    else if (process.env.NODE_ENV !== 'production') {\n        warn(\"Invalid value for option \\\"inject\\\": expected an Array or an Object, \" +\n            \"but got \".concat(toRawType(inject), \".\"), vm);\n    }\n}\n/**\n * Normalize raw function directives into object format.\n */\nfunction normalizeDirectives$1(options) {\n    var dirs = options.directives;\n    if (dirs) {\n        for (var key in dirs) {\n            var def = dirs[key];\n            if (isFunction(def)) {\n                dirs[key] = { bind: def, update: def };\n            }\n        }\n    }\n}\nfunction assertObjectType(name, value, vm) {\n    if (!isPlainObject(value)) {\n        warn(\"Invalid value for option \\\"\".concat(name, \"\\\": expected an Object, \") +\n            \"but got \".concat(toRawType(value), \".\"), vm);\n    }\n}\n/**\n * Merge two option objects into a new one.\n * Core utility used in both instantiation and inheritance.\n */\nfunction mergeOptions(parent, child, vm) {\n    if (process.env.NODE_ENV !== 'production') {\n        checkComponents(child);\n    }\n    if (isFunction(child)) {\n        // @ts-expect-error\n        child = child.options;\n    }\n    normalizeProps(child, vm);\n    normalizeInject(child, vm);\n    normalizeDirectives$1(child);\n    // Apply extends and mixins on the child options,\n    // but only if it is a raw options object that isn't\n    // the result of another mergeOptions call.\n    // Only merged options has the _base property.\n    if (!child._base) {\n        if (child.extends) {\n            parent = mergeOptions(parent, child.extends, vm);\n        }\n        if (child.mixins) {\n            for (var i = 0, l = child.mixins.length; i < l; i++) {\n                parent = mergeOptions(parent, child.mixins[i], vm);\n            }\n        }\n    }\n    var options = {};\n    var key;\n    for (key in parent) {\n        mergeField(key);\n    }\n    for (key in child) {\n        if (!hasOwn(parent, key)) {\n            mergeField(key);\n        }\n    }\n    function mergeField(key) {\n        var strat = strats[key] || defaultStrat;\n        options[key] = strat(parent[key], child[key], vm, key);\n    }\n    return options;\n}\n/**\n * Resolve an asset.\n * This function is used because child instances need access\n * to assets defined in its ancestor chain.\n */\nfunction resolveAsset(options, type, id, warnMissing) {\n    /* istanbul ignore if */\n    if (typeof id !== 'string') {\n        return;\n    }\n    var assets = options[type];\n    // check local registration variations first\n    if (hasOwn(assets, id))\n        return assets[id];\n    var camelizedId = camelize(id);\n    if (hasOwn(assets, camelizedId))\n        return assets[camelizedId];\n    var PascalCaseId = capitalize(camelizedId);\n    if (hasOwn(assets, PascalCaseId))\n        return assets[PascalCaseId];\n    // fallback to prototype chain\n    var res = assets[id] || assets[camelizedId] || assets[PascalCaseId];\n    if (process.env.NODE_ENV !== 'production' && warnMissing && !res) {\n        warn('Failed to resolve ' + type.slice(0, -1) + ': ' + id);\n    }\n    return res;\n}\n\nfunction validateProp(key, propOptions, propsData, vm) {\n    var prop = propOptions[key];\n    var absent = !hasOwn(propsData, key);\n    var value = propsData[key];\n    // boolean casting\n    var booleanIndex = getTypeIndex(Boolean, prop.type);\n    if (booleanIndex > -1) {\n        if (absent && !hasOwn(prop, 'default')) {\n            value = false;\n        }\n        else if (value === '' || value === hyphenate(key)) {\n            // only cast empty string / same name to boolean if\n            // boolean has higher priority\n            var stringIndex = getTypeIndex(String, prop.type);\n            if (stringIndex < 0 || booleanIndex < stringIndex) {\n                value = true;\n            }\n        }\n    }\n    // check default value\n    if (value === undefined) {\n        value = getPropDefaultValue(vm, prop, key);\n        // since the default value is a fresh copy,\n        // make sure to observe it.\n        var prevShouldObserve = shouldObserve;\n        toggleObserving(true);\n        observe(value);\n        toggleObserving(prevShouldObserve);\n    }\n    if (process.env.NODE_ENV !== 'production') {\n        assertProp(prop, key, value, vm, absent);\n    }\n    return value;\n}\n/**\n * Get the default value of a prop.\n */\nfunction getPropDefaultValue(vm, prop, key) {\n    // no default, return undefined\n    if (!hasOwn(prop, 'default')) {\n        return undefined;\n    }\n    var def = prop.default;\n    // warn against non-factory defaults for Object & Array\n    if (process.env.NODE_ENV !== 'production' && isObject(def)) {\n        warn('Invalid default value for prop \"' +\n            key +\n            '\": ' +\n            'Props with type Object/Array must use a factory function ' +\n            'to return the default value.', vm);\n    }\n    // the raw prop value was also undefined from previous render,\n    // return previous default value to avoid unnecessary watcher trigger\n    if (vm &&\n        vm.$options.propsData &&\n        vm.$options.propsData[key] === undefined &&\n        vm._props[key] !== undefined) {\n        return vm._props[key];\n    }\n    // call factory function for non-Function types\n    // a value is Function if its prototype is function even across different execution context\n    return isFunction(def) && getType(prop.type) !== 'Function'\n        ? def.call(vm)\n        : def;\n}\n/**\n * Assert whether a prop is valid.\n */\nfunction assertProp(prop, name, value, vm, absent) {\n    if (prop.required && absent) {\n        warn('Missing required prop: \"' + name + '\"', vm);\n        return;\n    }\n    if (value == null && !prop.required) {\n        return;\n    }\n    var type = prop.type;\n    var valid = !type || type === true;\n    var expectedTypes = [];\n    if (type) {\n        if (!isArray(type)) {\n            type = [type];\n        }\n        for (var i = 0; i < type.length && !valid; i++) {\n            var assertedType = assertType(value, type[i], vm);\n            expectedTypes.push(assertedType.expectedType || '');\n            valid = assertedType.valid;\n        }\n    }\n    var haveExpectedTypes = expectedTypes.some(function (t) { return t; });\n    if (!valid && haveExpectedTypes) {\n        warn(getInvalidTypeMessage(name, value, expectedTypes), vm);\n        return;\n    }\n    var validator = prop.validator;\n    if (validator) {\n        if (!validator(value)) {\n            warn('Invalid prop: custom validator check failed for prop \"' + name + '\".', vm);\n        }\n    }\n}\nvar simpleCheckRE = /^(String|Number|Boolean|Function|Symbol|BigInt)$/;\nfunction assertType(value, type, vm) {\n    var valid;\n    var expectedType = getType(type);\n    if (simpleCheckRE.test(expectedType)) {\n        var t = typeof value;\n        valid = t === expectedType.toLowerCase();\n        // for primitive wrapper objects\n        if (!valid && t === 'object') {\n            valid = value instanceof type;\n        }\n    }\n    else if (expectedType === 'Object') {\n        valid = isPlainObject(value);\n    }\n    else if (expectedType === 'Array') {\n        valid = isArray(value);\n    }\n    else {\n        try {\n            valid = value instanceof type;\n        }\n        catch (e) {\n            warn('Invalid prop type: \"' + String(type) + '\" is not a constructor', vm);\n            valid = false;\n        }\n    }\n    return {\n        valid: valid,\n        expectedType: expectedType\n    };\n}\nvar functionTypeCheckRE = /^\\s*function (\\w+)/;\n/**\n * Use function string name to check built-in types,\n * because a simple equality check will fail when running\n * across different vms / iframes.\n */\nfunction getType(fn) {\n    var match = fn && fn.toString().match(functionTypeCheckRE);\n    return match ? match[1] : '';\n}\nfunction isSameType(a, b) {\n    return getType(a) === getType(b);\n}\nfunction getTypeIndex(type, expectedTypes) {\n    if (!isArray(expectedTypes)) {\n        return isSameType(expectedTypes, type) ? 0 : -1;\n    }\n    for (var i = 0, len = expectedTypes.length; i < len; i++) {\n        if (isSameType(expectedTypes[i], type)) {\n            return i;\n        }\n    }\n    return -1;\n}\nfunction getInvalidTypeMessage(name, value, expectedTypes) {\n    var message = \"Invalid prop: type check failed for prop \\\"\".concat(name, \"\\\".\") +\n        \" Expected \".concat(expectedTypes.map(capitalize).join(', '));\n    var expectedType = expectedTypes[0];\n    var receivedType = toRawType(value);\n    // check if we need to specify expected value\n    if (expectedTypes.length === 1 &&\n        isExplicable(expectedType) &&\n        isExplicable(typeof value) &&\n        !isBoolean(expectedType, receivedType)) {\n        message += \" with value \".concat(styleValue(value, expectedType));\n    }\n    message += \", got \".concat(receivedType, \" \");\n    // check if we need to specify received value\n    if (isExplicable(receivedType)) {\n        message += \"with value \".concat(styleValue(value, receivedType), \".\");\n    }\n    return message;\n}\nfunction styleValue(value, type) {\n    if (type === 'String') {\n        return \"\\\"\".concat(value, \"\\\"\");\n    }\n    else if (type === 'Number') {\n        return \"\".concat(Number(value));\n    }\n    else {\n        return \"\".concat(value);\n    }\n}\nvar EXPLICABLE_TYPES = ['string', 'number', 'boolean'];\nfunction isExplicable(value) {\n    return EXPLICABLE_TYPES.some(function (elem) { return value.toLowerCase() === elem; });\n}\nfunction isBoolean() {\n    var args = [];\n    for (var _i = 0; _i < arguments.length; _i++) {\n        args[_i] = arguments[_i];\n    }\n    return args.some(function (elem) { return elem.toLowerCase() === 'boolean'; });\n}\n\n/* not type checking this file because flow doesn't play well with Proxy */\nvar initProxy;\nif (process.env.NODE_ENV !== 'production') {\n    var allowedGlobals_1 = makeMap('Infinity,undefined,NaN,isFinite,isNaN,' +\n        'parseFloat,parseInt,decodeURI,decodeURIComponent,encodeURI,encodeURIComponent,' +\n        'Math,Number,Date,Array,Object,Boolean,String,RegExp,Map,Set,JSON,Intl,BigInt,' +\n        'require' // for Webpack/Browserify\n    );\n    var warnNonPresent_1 = function (target, key) {\n        warn(\"Property or method \\\"\".concat(key, \"\\\" is not defined on the instance but \") +\n            'referenced during render. Make sure that this property is reactive, ' +\n            'either in the data option, or for class-based components, by ' +\n            'initializing the property. ' +\n            'See: https://v2.vuejs.org/v2/guide/reactivity.html#Declaring-Reactive-Properties.', target);\n    };\n    var warnReservedPrefix_1 = function (target, key) {\n        warn(\"Property \\\"\".concat(key, \"\\\" must be accessed with \\\"$data.\").concat(key, \"\\\" because \") +\n            'properties starting with \"$\" or \"_\" are not proxied in the Vue instance to ' +\n            'prevent conflicts with Vue internals. ' +\n            'See: https://v2.vuejs.org/v2/api/#data', target);\n    };\n    var hasProxy_1 = typeof Proxy !== 'undefined' && isNative(Proxy);\n    if (hasProxy_1) {\n        var isBuiltInModifier_1 = makeMap('stop,prevent,self,ctrl,shift,alt,meta,exact');\n        config.keyCodes = new Proxy(config.keyCodes, {\n            set: function (target, key, value) {\n                if (isBuiltInModifier_1(key)) {\n                    warn(\"Avoid overwriting built-in modifier in config.keyCodes: .\".concat(key));\n                    return false;\n                }\n                else {\n                    target[key] = value;\n                    return true;\n                }\n            }\n        });\n    }\n    var hasHandler_1 = {\n        has: function (target, key) {\n            var has = key in target;\n            var isAllowed = allowedGlobals_1(key) ||\n                (typeof key === 'string' &&\n                    key.charAt(0) === '_' &&\n                    !(key in target.$data));\n            if (!has && !isAllowed) {\n                if (key in target.$data)\n                    warnReservedPrefix_1(target, key);\n                else\n                    warnNonPresent_1(target, key);\n            }\n            return has || !isAllowed;\n        }\n    };\n    var getHandler_1 = {\n        get: function (target, key) {\n            if (typeof key === 'string' && !(key in target)) {\n                if (key in target.$data)\n                    warnReservedPrefix_1(target, key);\n                else\n                    warnNonPresent_1(target, key);\n            }\n            return target[key];\n        }\n    };\n    initProxy = function initProxy(vm) {\n        if (hasProxy_1) {\n            // determine which proxy handler to use\n            var options = vm.$options;\n            var handlers = options.render && options.render._withStripped ? getHandler_1 : hasHandler_1;\n            vm._renderProxy = new Proxy(vm, handlers);\n        }\n        else {\n            vm._renderProxy = vm;\n        }\n    };\n}\n\nvar sharedPropertyDefinition = {\n    enumerable: true,\n    configurable: true,\n    get: noop,\n    set: noop\n};\nfunction proxy(target, sourceKey, key) {\n    sharedPropertyDefinition.get = function proxyGetter() {\n        return this[sourceKey][key];\n    };\n    sharedPropertyDefinition.set = function proxySetter(val) {\n        this[sourceKey][key] = val;\n    };\n    Object.defineProperty(target, key, sharedPropertyDefinition);\n}\nfunction initState(vm) {\n    var opts = vm.$options;\n    if (opts.props)\n        initProps$1(vm, opts.props);\n    // Composition API\n    initSetup(vm);\n    if (opts.methods)\n        initMethods(vm, opts.methods);\n    if (opts.data) {\n        initData(vm);\n    }\n    else {\n        var ob = observe((vm._data = {}));\n        ob && ob.vmCount++;\n    }\n    if (opts.computed)\n        initComputed$1(vm, opts.computed);\n    if (opts.watch && opts.watch !== nativeWatch) {\n        initWatch(vm, opts.watch);\n    }\n}\nfunction initProps$1(vm, propsOptions) {\n    var propsData = vm.$options.propsData || {};\n    var props = (vm._props = shallowReactive({}));\n    // cache prop keys so that future props updates can iterate using Array\n    // instead of dynamic object key enumeration.\n    var keys = (vm.$options._propKeys = []);\n    var isRoot = !vm.$parent;\n    // root instance props should be converted\n    if (!isRoot) {\n        toggleObserving(false);\n    }\n    var _loop_1 = function (key) {\n        keys.push(key);\n        var value = validateProp(key, propsOptions, propsData, vm);\n        /* istanbul ignore else */\n        if (process.env.NODE_ENV !== 'production') {\n            var hyphenatedKey = hyphenate(key);\n            if (isReservedAttribute(hyphenatedKey) ||\n                config.isReservedAttr(hyphenatedKey)) {\n                warn(\"\\\"\".concat(hyphenatedKey, \"\\\" is a reserved attribute and cannot be used as component prop.\"), vm);\n            }\n            defineReactive(props, key, value, function () {\n                if (!isRoot && !isUpdatingChildComponent) {\n                    warn(\"Avoid mutating a prop directly since the value will be \" +\n                        \"overwritten whenever the parent component re-renders. \" +\n                        \"Instead, use a data or computed property based on the prop's \" +\n                        \"value. Prop being mutated: \\\"\".concat(key, \"\\\"\"), vm);\n                }\n            });\n        }\n        else {\n            defineReactive(props, key, value);\n        }\n        // static props are already proxied on the component's prototype\n        // during Vue.extend(). We only need to proxy props defined at\n        // instantiation here.\n        if (!(key in vm)) {\n            proxy(vm, \"_props\", key);\n        }\n    };\n    for (var key in propsOptions) {\n        _loop_1(key);\n    }\n    toggleObserving(true);\n}\nfunction initData(vm) {\n    var data = vm.$options.data;\n    data = vm._data = isFunction(data) ? getData(data, vm) : data || {};\n    if (!isPlainObject(data)) {\n        data = {};\n        process.env.NODE_ENV !== 'production' &&\n            warn('data functions should return an object:\\n' +\n                'https://v2.vuejs.org/v2/guide/components.html#data-Must-Be-a-Function', vm);\n    }\n    // proxy data on instance\n    var keys = Object.keys(data);\n    var props = vm.$options.props;\n    var methods = vm.$options.methods;\n    var i = keys.length;\n    while (i--) {\n        var key = keys[i];\n        if (process.env.NODE_ENV !== 'production') {\n            if (methods && hasOwn(methods, key)) {\n                warn(\"Method \\\"\".concat(key, \"\\\" has already been defined as a data property.\"), vm);\n            }\n        }\n        if (props && hasOwn(props, key)) {\n            process.env.NODE_ENV !== 'production' &&\n                warn(\"The data property \\\"\".concat(key, \"\\\" is already declared as a prop. \") +\n                    \"Use prop default value instead.\", vm);\n        }\n        else if (!isReserved(key)) {\n            proxy(vm, \"_data\", key);\n        }\n    }\n    // observe data\n    var ob = observe(data);\n    ob && ob.vmCount++;\n}\nfunction getData(data, vm) {\n    // #7573 disable dep collection when invoking data getters\n    pushTarget();\n    try {\n        return data.call(vm, vm);\n    }\n    catch (e) {\n        handleError(e, vm, \"data()\");\n        return {};\n    }\n    finally {\n        popTarget();\n    }\n}\nvar computedWatcherOptions = { lazy: true };\nfunction initComputed$1(vm, computed) {\n    // $flow-disable-line\n    var watchers = (vm._computedWatchers = Object.create(null));\n    // computed properties are just getters during SSR\n    var isSSR = isServerRendering();\n    for (var key in computed) {\n        var userDef = computed[key];\n        var getter = isFunction(userDef) ? userDef : userDef.get;\n        if (process.env.NODE_ENV !== 'production' && getter == null) {\n            warn(\"Getter is missing for computed property \\\"\".concat(key, \"\\\".\"), vm);\n        }\n        if (!isSSR) {\n            // create internal watcher for the computed property.\n            watchers[key] = new Watcher(vm, getter || noop, noop, computedWatcherOptions);\n        }\n        // component-defined computed properties are already defined on the\n        // component prototype. We only need to define computed properties defined\n        // at instantiation here.\n        if (!(key in vm)) {\n            defineComputed(vm, key, userDef);\n        }\n        else if (process.env.NODE_ENV !== 'production') {\n            if (key in vm.$data) {\n                warn(\"The computed property \\\"\".concat(key, \"\\\" is already defined in data.\"), vm);\n            }\n            else if (vm.$options.props && key in vm.$options.props) {\n                warn(\"The computed property \\\"\".concat(key, \"\\\" is already defined as a prop.\"), vm);\n            }\n            else if (vm.$options.methods && key in vm.$options.methods) {\n                warn(\"The computed property \\\"\".concat(key, \"\\\" is already defined as a method.\"), vm);\n            }\n        }\n    }\n}\nfunction defineComputed(target, key, userDef) {\n    var shouldCache = !isServerRendering();\n    if (isFunction(userDef)) {\n        sharedPropertyDefinition.get = shouldCache\n            ? createComputedGetter(key)\n            : createGetterInvoker(userDef);\n        sharedPropertyDefinition.set = noop;\n    }\n    else {\n        sharedPropertyDefinition.get = userDef.get\n            ? shouldCache && userDef.cache !== false\n                ? createComputedGetter(key)\n                : createGetterInvoker(userDef.get)\n            : noop;\n        sharedPropertyDefinition.set = userDef.set || noop;\n    }\n    if (process.env.NODE_ENV !== 'production' && sharedPropertyDefinition.set === noop) {\n        sharedPropertyDefinition.set = function () {\n            warn(\"Computed property \\\"\".concat(key, \"\\\" was assigned to but it has no setter.\"), this);\n        };\n    }\n    Object.defineProperty(target, key, sharedPropertyDefinition);\n}\nfunction createComputedGetter(key) {\n    return function computedGetter() {\n        var watcher = this._computedWatchers && this._computedWatchers[key];\n        if (watcher) {\n            if (watcher.dirty) {\n                watcher.evaluate();\n            }\n            if (Dep.target) {\n                if (process.env.NODE_ENV !== 'production' && Dep.target.onTrack) {\n                    Dep.target.onTrack({\n                        effect: Dep.target,\n                        target: this,\n                        type: \"get\" /* TrackOpTypes.GET */,\n                        key: key\n                    });\n                }\n                watcher.depend();\n            }\n            return watcher.value;\n        }\n    };\n}\nfunction createGetterInvoker(fn) {\n    return function computedGetter() {\n        return fn.call(this, this);\n    };\n}\nfunction initMethods(vm, methods) {\n    var props = vm.$options.props;\n    for (var key in methods) {\n        if (process.env.NODE_ENV !== 'production') {\n            if (typeof methods[key] !== 'function') {\n                warn(\"Method \\\"\".concat(key, \"\\\" has type \\\"\").concat(typeof methods[key], \"\\\" in the component definition. \") +\n                    \"Did you reference the function correctly?\", vm);\n            }\n            if (props && hasOwn(props, key)) {\n                warn(\"Method \\\"\".concat(key, \"\\\" has already been defined as a prop.\"), vm);\n            }\n            if (key in vm && isReserved(key)) {\n                warn(\"Method \\\"\".concat(key, \"\\\" conflicts with an existing Vue instance method. \") +\n                    \"Avoid defining component methods that start with _ or $.\");\n            }\n        }\n        vm[key] = typeof methods[key] !== 'function' ? noop : bind(methods[key], vm);\n    }\n}\nfunction initWatch(vm, watch) {\n    for (var key in watch) {\n        var handler = watch[key];\n        if (isArray(handler)) {\n            for (var i = 0; i < handler.length; i++) {\n                createWatcher(vm, key, handler[i]);\n            }\n        }\n        else {\n            createWatcher(vm, key, handler);\n        }\n    }\n}\nfunction createWatcher(vm, expOrFn, handler, options) {\n    if (isPlainObject(handler)) {\n        options = handler;\n        handler = handler.handler;\n    }\n    if (typeof handler === 'string') {\n        handler = vm[handler];\n    }\n    return vm.$watch(expOrFn, handler, options);\n}\nfunction stateMixin(Vue) {\n    // flow somehow has problems with directly declared definition object\n    // when using Object.defineProperty, so we have to procedurally build up\n    // the object here.\n    var dataDef = {};\n    dataDef.get = function () {\n        return this._data;\n    };\n    var propsDef = {};\n    propsDef.get = function () {\n        return this._props;\n    };\n    if (process.env.NODE_ENV !== 'production') {\n        dataDef.set = function () {\n            warn('Avoid replacing instance root $data. ' +\n                'Use nested data properties instead.', this);\n        };\n        propsDef.set = function () {\n            warn(\"$props is readonly.\", this);\n        };\n    }\n    Object.defineProperty(Vue.prototype, '$data', dataDef);\n    Object.defineProperty(Vue.prototype, '$props', propsDef);\n    Vue.prototype.$set = set;\n    Vue.prototype.$delete = del;\n    Vue.prototype.$watch = function (expOrFn, cb, options) {\n        var vm = this;\n        if (isPlainObject(cb)) {\n            return createWatcher(vm, expOrFn, cb, options);\n        }\n        options = options || {};\n        options.user = true;\n        var watcher = new Watcher(vm, expOrFn, cb, options);\n        if (options.immediate) {\n            var info = \"callback for immediate watcher \\\"\".concat(watcher.expression, \"\\\"\");\n            pushTarget();\n            invokeWithErrorHandling(cb, vm, [watcher.value], vm, info);\n            popTarget();\n        }\n        return function unwatchFn() {\n            watcher.teardown();\n        };\n    };\n}\n\nvar uid = 0;\nfunction initMixin$1(Vue) {\n    Vue.prototype._init = function (options) {\n        var vm = this;\n        // a uid\n        vm._uid = uid++;\n        var startTag, endTag;\n        /* istanbul ignore if */\n        if (process.env.NODE_ENV !== 'production' && config.performance && mark) {\n            startTag = \"vue-perf-start:\".concat(vm._uid);\n            endTag = \"vue-perf-end:\".concat(vm._uid);\n            mark(startTag);\n        }\n        // a flag to mark this as a Vue instance without having to do instanceof\n        // check\n        vm._isVue = true;\n        // avoid instances from being observed\n        vm.__v_skip = true;\n        // effect scope\n        vm._scope = new EffectScope(true /* detached */);\n        vm._scope._vm = true;\n        // merge options\n        if (options && options._isComponent) {\n            // optimize internal component instantiation\n            // since dynamic options merging is pretty slow, and none of the\n            // internal component options needs special treatment.\n            initInternalComponent(vm, options);\n        }\n        else {\n            vm.$options = mergeOptions(resolveConstructorOptions(vm.constructor), options || {}, vm);\n        }\n        /* istanbul ignore else */\n        if (process.env.NODE_ENV !== 'production') {\n            initProxy(vm);\n        }\n        else {\n            vm._renderProxy = vm;\n        }\n        // expose real self\n        vm._self = vm;\n        initLifecycle(vm);\n        initEvents(vm);\n        initRender(vm);\n        callHook$1(vm, 'beforeCreate', undefined, false /* setContext */);\n        initInjections(vm); // resolve injections before data/props\n        initState(vm);\n        initProvide(vm); // resolve provide after data/props\n        callHook$1(vm, 'created');\n        /* istanbul ignore if */\n        if (process.env.NODE_ENV !== 'production' && config.performance && mark) {\n            vm._name = formatComponentName(vm, false);\n            mark(endTag);\n            measure(\"vue \".concat(vm._name, \" init\"), startTag, endTag);\n        }\n        if (vm.$options.el) {\n            vm.$mount(vm.$options.el);\n        }\n    };\n}\nfunction initInternalComponent(vm, options) {\n    var opts = (vm.$options = Object.create(vm.constructor.options));\n    // doing this because it's faster than dynamic enumeration.\n    var parentVnode = options._parentVnode;\n    opts.parent = options.parent;\n    opts._parentVnode = parentVnode;\n    var vnodeComponentOptions = parentVnode.componentOptions;\n    opts.propsData = vnodeComponentOptions.propsData;\n    opts._parentListeners = vnodeComponentOptions.listeners;\n    opts._renderChildren = vnodeComponentOptions.children;\n    opts._componentTag = vnodeComponentOptions.tag;\n    if (options.render) {\n        opts.render = options.render;\n        opts.staticRenderFns = options.staticRenderFns;\n    }\n}\nfunction resolveConstructorOptions(Ctor) {\n    var options = Ctor.options;\n    if (Ctor.super) {\n        var superOptions = resolveConstructorOptions(Ctor.super);\n        var cachedSuperOptions = Ctor.superOptions;\n        if (superOptions !== cachedSuperOptions) {\n            // super option changed,\n            // need to resolve new options.\n            Ctor.superOptions = superOptions;\n            // check if there are any late-modified/attached options (#4976)\n            var modifiedOptions = resolveModifiedOptions(Ctor);\n            // update base extend options\n            if (modifiedOptions) {\n                extend(Ctor.extendOptions, modifiedOptions);\n            }\n            options = Ctor.options = mergeOptions(superOptions, Ctor.extendOptions);\n            if (options.name) {\n                options.components[options.name] = Ctor;\n            }\n        }\n    }\n    return options;\n}\nfunction resolveModifiedOptions(Ctor) {\n    var modified;\n    var latest = Ctor.options;\n    var sealed = Ctor.sealedOptions;\n    for (var key in latest) {\n        if (latest[key] !== sealed[key]) {\n            if (!modified)\n                modified = {};\n            modified[key] = latest[key];\n        }\n    }\n    return modified;\n}\n\nfunction Vue(options) {\n    if (process.env.NODE_ENV !== 'production' && !(this instanceof Vue)) {\n        warn('Vue is a constructor and should be called with the `new` keyword');\n    }\n    this._init(options);\n}\n//@ts-expect-error Vue has function type\ninitMixin$1(Vue);\n//@ts-expect-error Vue has function type\nstateMixin(Vue);\n//@ts-expect-error Vue has function type\neventsMixin(Vue);\n//@ts-expect-error Vue has function type\nlifecycleMixin(Vue);\n//@ts-expect-error Vue has function type\nrenderMixin(Vue);\n\nfunction initUse(Vue) {\n    Vue.use = function (plugin) {\n        var installedPlugins = this._installedPlugins || (this._installedPlugins = []);\n        if (installedPlugins.indexOf(plugin) > -1) {\n            return this;\n        }\n        // additional parameters\n        var args = toArray(arguments, 1);\n        args.unshift(this);\n        if (isFunction(plugin.install)) {\n            plugin.install.apply(plugin, args);\n        }\n        else if (isFunction(plugin)) {\n            plugin.apply(null, args);\n        }\n        installedPlugins.push(plugin);\n        return this;\n    };\n}\n\nfunction initMixin(Vue) {\n    Vue.mixin = function (mixin) {\n        this.options = mergeOptions(this.options, mixin);\n        return this;\n    };\n}\n\nfunction initExtend(Vue) {\n    /**\n     * Each instance constructor, including Vue, has a unique\n     * cid. This enables us to create wrapped \"child\n     * constructors\" for prototypal inheritance and cache them.\n     */\n    Vue.cid = 0;\n    var cid = 1;\n    /**\n     * Class inheritance\n     */\n    Vue.extend = function (extendOptions) {\n        extendOptions = extendOptions || {};\n        var Super = this;\n        var SuperId = Super.cid;\n        var cachedCtors = extendOptions._Ctor || (extendOptions._Ctor = {});\n        if (cachedCtors[SuperId]) {\n            return cachedCtors[SuperId];\n        }\n        var name = getComponentName(extendOptions) || getComponentName(Super.options);\n        if (process.env.NODE_ENV !== 'production' && name) {\n            validateComponentName(name);\n        }\n        var Sub = function VueComponent(options) {\n            this._init(options);\n        };\n        Sub.prototype = Object.create(Super.prototype);\n        Sub.prototype.constructor = Sub;\n        Sub.cid = cid++;\n        Sub.options = mergeOptions(Super.options, extendOptions);\n        Sub['super'] = Super;\n        // For props and computed properties, we define the proxy getters on\n        // the Vue instances at extension time, on the extended prototype. This\n        // avoids Object.defineProperty calls for each instance created.\n        if (Sub.options.props) {\n            initProps(Sub);\n        }\n        if (Sub.options.computed) {\n            initComputed(Sub);\n        }\n        // allow further extension/mixin/plugin usage\n        Sub.extend = Super.extend;\n        Sub.mixin = Super.mixin;\n        Sub.use = Super.use;\n        // create asset registers, so extended classes\n        // can have their private assets too.\n        ASSET_TYPES.forEach(function (type) {\n            Sub[type] = Super[type];\n        });\n        // enable recursive self-lookup\n        if (name) {\n            Sub.options.components[name] = Sub;\n        }\n        // keep a reference to the super options at extension time.\n        // later at instantiation we can check if Super's options have\n        // been updated.\n        Sub.superOptions = Super.options;\n        Sub.extendOptions = extendOptions;\n        Sub.sealedOptions = extend({}, Sub.options);\n        // cache constructor\n        cachedCtors[SuperId] = Sub;\n        return Sub;\n    };\n}\nfunction initProps(Comp) {\n    var props = Comp.options.props;\n    for (var key in props) {\n        proxy(Comp.prototype, \"_props\", key);\n    }\n}\nfunction initComputed(Comp) {\n    var computed = Comp.options.computed;\n    for (var key in computed) {\n        defineComputed(Comp.prototype, key, computed[key]);\n    }\n}\n\nfunction initAssetRegisters(Vue) {\n    /**\n     * Create asset registration methods.\n     */\n    ASSET_TYPES.forEach(function (type) {\n        // @ts-expect-error function is not exact same type\n        Vue[type] = function (id, definition) {\n            if (!definition) {\n                return this.options[type + 's'][id];\n            }\n            else {\n                /* istanbul ignore if */\n                if (process.env.NODE_ENV !== 'production' && type === 'component') {\n                    validateComponentName(id);\n                }\n                if (type === 'component' && isPlainObject(definition)) {\n                    // @ts-expect-error\n                    definition.name = definition.name || id;\n                    definition = this.options._base.extend(definition);\n                }\n                if (type === 'directive' && isFunction(definition)) {\n                    definition = { bind: definition, update: definition };\n                }\n                this.options[type + 's'][id] = definition;\n                return definition;\n            }\n        };\n    });\n}\n\nfunction _getComponentName(opts) {\n    return opts && (getComponentName(opts.Ctor.options) || opts.tag);\n}\nfunction matches(pattern, name) {\n    if (isArray(pattern)) {\n        return pattern.indexOf(name) > -1;\n    }\n    else if (typeof pattern === 'string') {\n        return pattern.split(',').indexOf(name) > -1;\n    }\n    else if (isRegExp(pattern)) {\n        return pattern.test(name);\n    }\n    /* istanbul ignore next */\n    return false;\n}\nfunction pruneCache(keepAliveInstance, filter) {\n    var cache = keepAliveInstance.cache, keys = keepAliveInstance.keys, _vnode = keepAliveInstance._vnode;\n    for (var key in cache) {\n        var entry = cache[key];\n        if (entry) {\n            var name_1 = entry.name;\n            if (name_1 && !filter(name_1)) {\n                pruneCacheEntry(cache, key, keys, _vnode);\n            }\n        }\n    }\n}\nfunction pruneCacheEntry(cache, key, keys, current) {\n    var entry = cache[key];\n    if (entry && (!current || entry.tag !== current.tag)) {\n        // @ts-expect-error can be undefined\n        entry.componentInstance.$destroy();\n    }\n    cache[key] = null;\n    remove$2(keys, key);\n}\nvar patternTypes = [String, RegExp, Array];\n// TODO defineComponent\nvar KeepAlive = {\n    name: 'keep-alive',\n    abstract: true,\n    props: {\n        include: patternTypes,\n        exclude: patternTypes,\n        max: [String, Number]\n    },\n    methods: {\n        cacheVNode: function () {\n            var _a = this, cache = _a.cache, keys = _a.keys, vnodeToCache = _a.vnodeToCache, keyToCache = _a.keyToCache;\n            if (vnodeToCache) {\n                var tag = vnodeToCache.tag, componentInstance = vnodeToCache.componentInstance, componentOptions = vnodeToCache.componentOptions;\n                cache[keyToCache] = {\n                    name: _getComponentName(componentOptions),\n                    tag: tag,\n                    componentInstance: componentInstance\n                };\n                keys.push(keyToCache);\n                // prune oldest entry\n                if (this.max && keys.length > parseInt(this.max)) {\n                    pruneCacheEntry(cache, keys[0], keys, this._vnode);\n                }\n                this.vnodeToCache = null;\n            }\n        }\n    },\n    created: function () {\n        this.cache = Object.create(null);\n        this.keys = [];\n    },\n    destroyed: function () {\n        for (var key in this.cache) {\n            pruneCacheEntry(this.cache, key, this.keys);\n        }\n    },\n    mounted: function () {\n        var _this = this;\n        this.cacheVNode();\n        this.$watch('include', function (val) {\n            pruneCache(_this, function (name) { return matches(val, name); });\n        });\n        this.$watch('exclude', function (val) {\n            pruneCache(_this, function (name) { return !matches(val, name); });\n        });\n    },\n    updated: function () {\n        this.cacheVNode();\n    },\n    render: function () {\n        var slot = this.$slots.default;\n        var vnode = getFirstComponentChild(slot);\n        var componentOptions = vnode && vnode.componentOptions;\n        if (componentOptions) {\n            // check pattern\n            var name_2 = _getComponentName(componentOptions);\n            var _a = this, include = _a.include, exclude = _a.exclude;\n            if (\n            // not included\n            (include && (!name_2 || !matches(include, name_2))) ||\n                // excluded\n                (exclude && name_2 && matches(exclude, name_2))) {\n                return vnode;\n            }\n            var _b = this, cache = _b.cache, keys = _b.keys;\n            var key = vnode.key == null\n                ? // same constructor may get registered as different local components\n                    // so cid alone is not enough (#3269)\n                    componentOptions.Ctor.cid +\n                        (componentOptions.tag ? \"::\".concat(componentOptions.tag) : '')\n                : vnode.key;\n            if (cache[key]) {\n                vnode.componentInstance = cache[key].componentInstance;\n                // make current key freshest\n                remove$2(keys, key);\n                keys.push(key);\n            }\n            else {\n                // delay setting the cache until update\n                this.vnodeToCache = vnode;\n                this.keyToCache = key;\n            }\n            // @ts-expect-error can vnode.data can be undefined\n            vnode.data.keepAlive = true;\n        }\n        return vnode || (slot && slot[0]);\n    }\n};\n\nvar builtInComponents = {\n    KeepAlive: KeepAlive\n};\n\nfunction initGlobalAPI(Vue) {\n    // config\n    var configDef = {};\n    configDef.get = function () { return config; };\n    if (process.env.NODE_ENV !== 'production') {\n        configDef.set = function () {\n            warn('Do not replace the Vue.config object, set individual fields instead.');\n        };\n    }\n    Object.defineProperty(Vue, 'config', configDef);\n    // exposed util methods.\n    // NOTE: these are not considered part of the public API - avoid relying on\n    // them unless you are aware of the risk.\n    Vue.util = {\n        warn: warn,\n        extend: extend,\n        mergeOptions: mergeOptions,\n        defineReactive: defineReactive\n    };\n    Vue.set = set;\n    Vue.delete = del;\n    Vue.nextTick = nextTick;\n    // 2.6 explicit observable API\n    Vue.observable = function (obj) {\n        observe(obj);\n        return obj;\n    };\n    Vue.options = Object.create(null);\n    ASSET_TYPES.forEach(function (type) {\n        Vue.options[type + 's'] = Object.create(null);\n    });\n    // this is used to identify the \"base\" constructor to extend all plain-object\n    // components with in Weex's multi-instance scenarios.\n    Vue.options._base = Vue;\n    extend(Vue.options.components, builtInComponents);\n    initUse(Vue);\n    initMixin(Vue);\n    initExtend(Vue);\n    initAssetRegisters(Vue);\n}\n\ninitGlobalAPI(Vue);\nObject.defineProperty(Vue.prototype, '$isServer', {\n    get: isServerRendering\n});\nObject.defineProperty(Vue.prototype, '$ssrContext', {\n    get: function () {\n        /* istanbul ignore next */\n        return this.$vnode && this.$vnode.ssrContext;\n    }\n});\n// expose FunctionalRenderContext for ssr runtime helper installation\nObject.defineProperty(Vue, 'FunctionalRenderContext', {\n    value: FunctionalRenderContext\n});\nVue.version = version;\n\n// these are reserved for web because they are directly compiled away\n// during template compilation\nvar isReservedAttr = makeMap('style,class');\n// attributes that should be using props for binding\nvar acceptValue = makeMap('input,textarea,option,select,progress');\nvar mustUseProp = function (tag, type, attr) {\n    return ((attr === 'value' && acceptValue(tag) && type !== 'button') ||\n        (attr === 'selected' && tag === 'option') ||\n        (attr === 'checked' && tag === 'input') ||\n        (attr === 'muted' && tag === 'video'));\n};\nvar isEnumeratedAttr = makeMap('contenteditable,draggable,spellcheck');\nvar isValidContentEditableValue = makeMap('events,caret,typing,plaintext-only');\nvar convertEnumeratedValue = function (key, value) {\n    return isFalsyAttrValue(value) || value === 'false'\n        ? 'false'\n        : // allow arbitrary string value for contenteditable\n            key === 'contenteditable' && isValidContentEditableValue(value)\n                ? value\n                : 'true';\n};\nvar isBooleanAttr = makeMap('allowfullscreen,async,autofocus,autoplay,checked,compact,controls,declare,' +\n    'default,defaultchecked,defaultmuted,defaultselected,defer,disabled,' +\n    'enabled,formnovalidate,hidden,indeterminate,inert,ismap,itemscope,loop,multiple,' +\n    'muted,nohref,noresize,noshade,novalidate,nowrap,open,pauseonexit,readonly,' +\n    'required,reversed,scoped,seamless,selected,sortable,' +\n    'truespeed,typemustmatch,visible');\nvar xlinkNS = 'http://www.w3.org/1999/xlink';\nvar isXlink = function (name) {\n    return name.charAt(5) === ':' && name.slice(0, 5) === 'xlink';\n};\nvar getXlinkProp = function (name) {\n    return isXlink(name) ? name.slice(6, name.length) : '';\n};\nvar isFalsyAttrValue = function (val) {\n    return val == null || val === false;\n};\n\nfunction genClassForVnode(vnode) {\n    var data = vnode.data;\n    var parentNode = vnode;\n    var childNode = vnode;\n    while (isDef(childNode.componentInstance)) {\n        childNode = childNode.componentInstance._vnode;\n        if (childNode && childNode.data) {\n            data = mergeClassData(childNode.data, data);\n        }\n    }\n    // @ts-expect-error parentNode.parent not VNodeWithData\n    while (isDef((parentNode = parentNode.parent))) {\n        if (parentNode && parentNode.data) {\n            data = mergeClassData(data, parentNode.data);\n        }\n    }\n    return renderClass(data.staticClass, data.class);\n}\nfunction mergeClassData(child, parent) {\n    return {\n        staticClass: concat(child.staticClass, parent.staticClass),\n        class: isDef(child.class) ? [child.class, parent.class] : parent.class\n    };\n}\nfunction renderClass(staticClass, dynamicClass) {\n    if (isDef(staticClass) || isDef(dynamicClass)) {\n        return concat(staticClass, stringifyClass(dynamicClass));\n    }\n    /* istanbul ignore next */\n    return '';\n}\nfunction concat(a, b) {\n    return a ? (b ? a + ' ' + b : a) : b || '';\n}\nfunction stringifyClass(value) {\n    if (Array.isArray(value)) {\n        return stringifyArray(value);\n    }\n    if (isObject(value)) {\n        return stringifyObject(value);\n    }\n    if (typeof value === 'string') {\n        return value;\n    }\n    /* istanbul ignore next */\n    return '';\n}\nfunction stringifyArray(value) {\n    var res = '';\n    var stringified;\n    for (var i = 0, l = value.length; i < l; i++) {\n        if (isDef((stringified = stringifyClass(value[i]))) && stringified !== '') {\n            if (res)\n                res += ' ';\n            res += stringified;\n        }\n    }\n    return res;\n}\nfunction stringifyObject(value) {\n    var res = '';\n    for (var key in value) {\n        if (value[key]) {\n            if (res)\n                res += ' ';\n            res += key;\n        }\n    }\n    return res;\n}\n\nvar namespaceMap = {\n    svg: 'http://www.w3.org/2000/svg',\n    math: 'http://www.w3.org/1998/Math/MathML'\n};\nvar isHTMLTag = makeMap('html,body,base,head,link,meta,style,title,' +\n    'address,article,aside,footer,header,h1,h2,h3,h4,h5,h6,hgroup,nav,section,' +\n    'div,dd,dl,dt,figcaption,figure,picture,hr,img,li,main,ol,p,pre,ul,' +\n    'a,b,abbr,bdi,bdo,br,cite,code,data,dfn,em,i,kbd,mark,q,rp,rt,rtc,ruby,' +\n    's,samp,small,span,strong,sub,sup,time,u,var,wbr,area,audio,map,track,video,' +\n    'embed,object,param,source,canvas,script,noscript,del,ins,' +\n    'caption,col,colgroup,table,thead,tbody,td,th,tr,' +\n    'button,datalist,fieldset,form,input,label,legend,meter,optgroup,option,' +\n    'output,progress,select,textarea,' +\n    'details,dialog,menu,menuitem,summary,' +\n    'content,element,shadow,template,blockquote,iframe,tfoot');\n// this map is intentionally selective, only covering SVG elements that may\n// contain child elements.\nvar isSVG = makeMap('svg,animate,circle,clippath,cursor,defs,desc,ellipse,filter,font-face,' +\n    'foreignobject,g,glyph,image,line,marker,mask,missing-glyph,path,pattern,' +\n    'polygon,polyline,rect,switch,symbol,text,textpath,tspan,use,view', true);\nvar isReservedTag = function (tag) {\n    return isHTMLTag(tag) || isSVG(tag);\n};\nfunction getTagNamespace(tag) {\n    if (isSVG(tag)) {\n        return 'svg';\n    }\n    // basic support for MathML\n    // note it doesn't support other MathML elements being component roots\n    if (tag === 'math') {\n        return 'math';\n    }\n}\nvar unknownElementCache = Object.create(null);\nfunction isUnknownElement(tag) {\n    /* istanbul ignore if */\n    if (!inBrowser) {\n        return true;\n    }\n    if (isReservedTag(tag)) {\n        return false;\n    }\n    tag = tag.toLowerCase();\n    /* istanbul ignore if */\n    if (unknownElementCache[tag] != null) {\n        return unknownElementCache[tag];\n    }\n    var el = document.createElement(tag);\n    if (tag.indexOf('-') > -1) {\n        // http://stackoverflow.com/a/28210364/1070244\n        return (unknownElementCache[tag] =\n            el.constructor === window.HTMLUnknownElement ||\n                el.constructor === window.HTMLElement);\n    }\n    else {\n        return (unknownElementCache[tag] = /HTMLUnknownElement/.test(el.toString()));\n    }\n}\nvar isTextInputType = makeMap('text,number,password,search,email,tel,url');\n\n/**\n * Query an element selector if it's not an element already.\n */\nfunction query(el) {\n    if (typeof el === 'string') {\n        var selected = document.querySelector(el);\n        if (!selected) {\n            process.env.NODE_ENV !== 'production' && warn('Cannot find element: ' + el);\n            return document.createElement('div');\n        }\n        return selected;\n    }\n    else {\n        return el;\n    }\n}\n\nfunction createElement(tagName, vnode) {\n    var elm = document.createElement(tagName);\n    if (tagName !== 'select') {\n        return elm;\n    }\n    // false or null will remove the attribute but undefined will not\n    if (vnode.data &&\n        vnode.data.attrs &&\n        vnode.data.attrs.multiple !== undefined) {\n        elm.setAttribute('multiple', 'multiple');\n    }\n    return elm;\n}\nfunction createElementNS(namespace, tagName) {\n    return document.createElementNS(namespaceMap[namespace], tagName);\n}\nfunction createTextNode(text) {\n    return document.createTextNode(text);\n}\nfunction createComment(text) {\n    return document.createComment(text);\n}\nfunction insertBefore(parentNode, newNode, referenceNode) {\n    parentNode.insertBefore(newNode, referenceNode);\n}\nfunction removeChild(node, child) {\n    node.removeChild(child);\n}\nfunction appendChild(node, child) {\n    node.appendChild(child);\n}\nfunction parentNode(node) {\n    return node.parentNode;\n}\nfunction nextSibling(node) {\n    return node.nextSibling;\n}\nfunction tagName(node) {\n    return node.tagName;\n}\nfunction setTextContent(node, text) {\n    node.textContent = text;\n}\nfunction setStyleScope(node, scopeId) {\n    node.setAttribute(scopeId, '');\n}\n\nvar nodeOps = /*#__PURE__*/Object.freeze({\n  __proto__: null,\n  createElement: createElement,\n  createElementNS: createElementNS,\n  createTextNode: createTextNode,\n  createComment: createComment,\n  insertBefore: insertBefore,\n  removeChild: removeChild,\n  appendChild: appendChild,\n  parentNode: parentNode,\n  nextSibling: nextSibling,\n  tagName: tagName,\n  setTextContent: setTextContent,\n  setStyleScope: setStyleScope\n});\n\nvar ref = {\n    create: function (_, vnode) {\n        registerRef(vnode);\n    },\n    update: function (oldVnode, vnode) {\n        if (oldVnode.data.ref !== vnode.data.ref) {\n            registerRef(oldVnode, true);\n            registerRef(vnode);\n        }\n    },\n    destroy: function (vnode) {\n        registerRef(vnode, true);\n    }\n};\nfunction registerRef(vnode, isRemoval) {\n    var ref = vnode.data.ref;\n    if (!isDef(ref))\n        return;\n    var vm = vnode.context;\n    var refValue = vnode.componentInstance || vnode.elm;\n    var value = isRemoval ? null : refValue;\n    var $refsValue = isRemoval ? undefined : refValue;\n    if (isFunction(ref)) {\n        invokeWithErrorHandling(ref, vm, [value], vm, \"template ref function\");\n        return;\n    }\n    var isFor = vnode.data.refInFor;\n    var _isString = typeof ref === 'string' || typeof ref === 'number';\n    var _isRef = isRef(ref);\n    var refs = vm.$refs;\n    if (_isString || _isRef) {\n        if (isFor) {\n            var existing = _isString ? refs[ref] : ref.value;\n            if (isRemoval) {\n                isArray(existing) && remove$2(existing, refValue);\n            }\n            else {\n                if (!isArray(existing)) {\n                    if (_isString) {\n                        refs[ref] = [refValue];\n                        setSetupRef(vm, ref, refs[ref]);\n                    }\n                    else {\n                        ref.value = [refValue];\n                    }\n                }\n                else if (!existing.includes(refValue)) {\n                    existing.push(refValue);\n                }\n            }\n        }\n        else if (_isString) {\n            if (isRemoval && refs[ref] !== refValue) {\n                return;\n            }\n            refs[ref] = $refsValue;\n            setSetupRef(vm, ref, value);\n        }\n        else if (_isRef) {\n            if (isRemoval && ref.value !== refValue) {\n                return;\n            }\n            ref.value = value;\n        }\n        else if (process.env.NODE_ENV !== 'production') {\n            warn(\"Invalid template ref type: \".concat(typeof ref));\n        }\n    }\n}\nfunction setSetupRef(_a, key, val) {\n    var _setupState = _a._setupState;\n    if (_setupState && hasOwn(_setupState, key)) {\n        if (isRef(_setupState[key])) {\n            _setupState[key].value = val;\n        }\n        else {\n            _setupState[key] = val;\n        }\n    }\n}\n\n/**\n * Virtual DOM patching algorithm based on Snabbdom by\n * Simon Friis Vindum (@paldepind)\n * Licensed under the MIT License\n * https://github.com/paldepind/snabbdom/blob/master/LICENSE\n *\n * modified by Evan You (@yyx990803)\n *\n * Not type-checking this because this file is perf-critical and the cost\n * of making flow understand it is not worth it.\n */\nvar emptyNode = new VNode('', {}, []);\nvar hooks = ['create', 'activate', 'update', 'remove', 'destroy'];\nfunction sameVnode(a, b) {\n    return (a.key === b.key &&\n        a.asyncFactory === b.asyncFactory &&\n        ((a.tag === b.tag &&\n            a.isComment === b.isComment &&\n            isDef(a.data) === isDef(b.data) &&\n            sameInputType(a, b)) ||\n            (isTrue(a.isAsyncPlaceholder) && isUndef(b.asyncFactory.error))));\n}\nfunction sameInputType(a, b) {\n    if (a.tag !== 'input')\n        return true;\n    var i;\n    var typeA = isDef((i = a.data)) && isDef((i = i.attrs)) && i.type;\n    var typeB = isDef((i = b.data)) && isDef((i = i.attrs)) && i.type;\n    return typeA === typeB || (isTextInputType(typeA) && isTextInputType(typeB));\n}\nfunction createKeyToOldIdx(children, beginIdx, endIdx) {\n    var i, key;\n    var map = {};\n    for (i = beginIdx; i <= endIdx; ++i) {\n        key = children[i].key;\n        if (isDef(key))\n            map[key] = i;\n    }\n    return map;\n}\nfunction createPatchFunction(backend) {\n    var i, j;\n    var cbs = {};\n    var modules = backend.modules, nodeOps = backend.nodeOps;\n    for (i = 0; i < hooks.length; ++i) {\n        cbs[hooks[i]] = [];\n        for (j = 0; j < modules.length; ++j) {\n            if (isDef(modules[j][hooks[i]])) {\n                cbs[hooks[i]].push(modules[j][hooks[i]]);\n            }\n        }\n    }\n    function emptyNodeAt(elm) {\n        return new VNode(nodeOps.tagName(elm).toLowerCase(), {}, [], undefined, elm);\n    }\n    function createRmCb(childElm, listeners) {\n        function remove() {\n            if (--remove.listeners === 0) {\n                removeNode(childElm);\n            }\n        }\n        remove.listeners = listeners;\n        return remove;\n    }\n    function removeNode(el) {\n        var parent = nodeOps.parentNode(el);\n        // element may have already been removed due to v-html / v-text\n        if (isDef(parent)) {\n            nodeOps.removeChild(parent, el);\n        }\n    }\n    function isUnknownElement(vnode, inVPre) {\n        return (!inVPre &&\n            !vnode.ns &&\n            !(config.ignoredElements.length &&\n                config.ignoredElements.some(function (ignore) {\n                    return isRegExp(ignore)\n                        ? ignore.test(vnode.tag)\n                        : ignore === vnode.tag;\n                })) &&\n            config.isUnknownElement(vnode.tag));\n    }\n    var creatingElmInVPre = 0;\n    function createElm(vnode, insertedVnodeQueue, parentElm, refElm, nested, ownerArray, index) {\n        if (isDef(vnode.elm) && isDef(ownerArray)) {\n            // This vnode was used in a previous render!\n            // now it's used as a new node, overwriting its elm would cause\n            // potential patch errors down the road when it's used as an insertion\n            // reference node. Instead, we clone the node on-demand before creating\n            // associated DOM element for it.\n            vnode = ownerArray[index] = cloneVNode(vnode);\n        }\n        vnode.isRootInsert = !nested; // for transition enter check\n        if (createComponent(vnode, insertedVnodeQueue, parentElm, refElm)) {\n            return;\n        }\n        var data = vnode.data;\n        var children = vnode.children;\n        var tag = vnode.tag;\n        if (isDef(tag)) {\n            if (process.env.NODE_ENV !== 'production') {\n                if (data && data.pre) {\n                    creatingElmInVPre++;\n                }\n                if (isUnknownElement(vnode, creatingElmInVPre)) {\n                    warn('Unknown custom element: <' +\n                        tag +\n                        '> - did you ' +\n                        'register the component correctly? For recursive components, ' +\n                        'make sure to provide the \"name\" option.', vnode.context);\n                }\n            }\n            vnode.elm = vnode.ns\n                ? nodeOps.createElementNS(vnode.ns, tag)\n                : nodeOps.createElement(tag, vnode);\n            setScope(vnode);\n            createChildren(vnode, children, insertedVnodeQueue);\n            if (isDef(data)) {\n                invokeCreateHooks(vnode, insertedVnodeQueue);\n            }\n            insert(parentElm, vnode.elm, refElm);\n            if (process.env.NODE_ENV !== 'production' && data && data.pre) {\n                creatingElmInVPre--;\n            }\n        }\n        else if (isTrue(vnode.isComment)) {\n            vnode.elm = nodeOps.createComment(vnode.text);\n            insert(parentElm, vnode.elm, refElm);\n        }\n        else {\n            vnode.elm = nodeOps.createTextNode(vnode.text);\n            insert(parentElm, vnode.elm, refElm);\n        }\n    }\n    function createComponent(vnode, insertedVnodeQueue, parentElm, refElm) {\n        var i = vnode.data;\n        if (isDef(i)) {\n            var isReactivated = isDef(vnode.componentInstance) && i.keepAlive;\n            if (isDef((i = i.hook)) && isDef((i = i.init))) {\n                i(vnode, false /* hydrating */);\n            }\n            // after calling the init hook, if the vnode is a child component\n            // it should've created a child instance and mounted it. the child\n            // component also has set the placeholder vnode's elm.\n            // in that case we can just return the element and be done.\n            if (isDef(vnode.componentInstance)) {\n                initComponent(vnode, insertedVnodeQueue);\n                insert(parentElm, vnode.elm, refElm);\n                if (isTrue(isReactivated)) {\n                    reactivateComponent(vnode, insertedVnodeQueue, parentElm, refElm);\n                }\n                return true;\n            }\n        }\n    }\n    function initComponent(vnode, insertedVnodeQueue) {\n        if (isDef(vnode.data.pendingInsert)) {\n            insertedVnodeQueue.push.apply(insertedVnodeQueue, vnode.data.pendingInsert);\n            vnode.data.pendingInsert = null;\n        }\n        vnode.elm = vnode.componentInstance.$el;\n        if (isPatchable(vnode)) {\n            invokeCreateHooks(vnode, insertedVnodeQueue);\n            setScope(vnode);\n        }\n        else {\n            // empty component root.\n            // skip all element-related modules except for ref (#3455)\n            registerRef(vnode);\n            // make sure to invoke the insert hook\n            insertedVnodeQueue.push(vnode);\n        }\n    }\n    function reactivateComponent(vnode, insertedVnodeQueue, parentElm, refElm) {\n        var i;\n        // hack for #4339: a reactivated component with inner transition\n        // does not trigger because the inner node's created hooks are not called\n        // again. It's not ideal to involve module-specific logic in here but\n        // there doesn't seem to be a better way to do it.\n        var innerNode = vnode;\n        while (innerNode.componentInstance) {\n            innerNode = innerNode.componentInstance._vnode;\n            if (isDef((i = innerNode.data)) && isDef((i = i.transition))) {\n                for (i = 0; i < cbs.activate.length; ++i) {\n                    cbs.activate[i](emptyNode, innerNode);\n                }\n                insertedVnodeQueue.push(innerNode);\n                break;\n            }\n        }\n        // unlike a newly created component,\n        // a reactivated keep-alive component doesn't insert itself\n        insert(parentElm, vnode.elm, refElm);\n    }\n    function insert(parent, elm, ref) {\n        if (isDef(parent)) {\n            if (isDef(ref)) {\n                if (nodeOps.parentNode(ref) === parent) {\n                    nodeOps.insertBefore(parent, elm, ref);\n                }\n            }\n            else {\n                nodeOps.appendChild(parent, elm);\n            }\n        }\n    }\n    function createChildren(vnode, children, insertedVnodeQueue) {\n        if (isArray(children)) {\n            if (process.env.NODE_ENV !== 'production') {\n                checkDuplicateKeys(children);\n            }\n            for (var i_1 = 0; i_1 < children.length; ++i_1) {\n                createElm(children[i_1], insertedVnodeQueue, vnode.elm, null, true, children, i_1);\n            }\n        }\n        else if (isPrimitive(vnode.text)) {\n            nodeOps.appendChild(vnode.elm, nodeOps.createTextNode(String(vnode.text)));\n        }\n    }\n    function isPatchable(vnode) {\n        while (vnode.componentInstance) {\n            vnode = vnode.componentInstance._vnode;\n        }\n        return isDef(vnode.tag);\n    }\n    function invokeCreateHooks(vnode, insertedVnodeQueue) {\n        for (var i_2 = 0; i_2 < cbs.create.length; ++i_2) {\n            cbs.create[i_2](emptyNode, vnode);\n        }\n        i = vnode.data.hook; // Reuse variable\n        if (isDef(i)) {\n            if (isDef(i.create))\n                i.create(emptyNode, vnode);\n            if (isDef(i.insert))\n                insertedVnodeQueue.push(vnode);\n        }\n    }\n    // set scope id attribute for scoped CSS.\n    // this is implemented as a special case to avoid the overhead\n    // of going through the normal attribute patching process.\n    function setScope(vnode) {\n        var i;\n        if (isDef((i = vnode.fnScopeId))) {\n            nodeOps.setStyleScope(vnode.elm, i);\n        }\n        else {\n            var ancestor = vnode;\n            while (ancestor) {\n                if (isDef((i = ancestor.context)) && isDef((i = i.$options._scopeId))) {\n                    nodeOps.setStyleScope(vnode.elm, i);\n                }\n                ancestor = ancestor.parent;\n            }\n        }\n        // for slot content they should also get the scopeId from the host instance.\n        if (isDef((i = activeInstance)) &&\n            i !== vnode.context &&\n            i !== vnode.fnContext &&\n            isDef((i = i.$options._scopeId))) {\n            nodeOps.setStyleScope(vnode.elm, i);\n        }\n    }\n    function addVnodes(parentElm, refElm, vnodes, startIdx, endIdx, insertedVnodeQueue) {\n        for (; startIdx <= endIdx; ++startIdx) {\n            createElm(vnodes[startIdx], insertedVnodeQueue, parentElm, refElm, false, vnodes, startIdx);\n        }\n    }\n    function invokeDestroyHook(vnode) {\n        var i, j;\n        var data = vnode.data;\n        if (isDef(data)) {\n            if (isDef((i = data.hook)) && isDef((i = i.destroy)))\n                i(vnode);\n            for (i = 0; i < cbs.destroy.length; ++i)\n                cbs.destroy[i](vnode);\n        }\n        if (isDef((i = vnode.children))) {\n            for (j = 0; j < vnode.children.length; ++j) {\n                invokeDestroyHook(vnode.children[j]);\n            }\n        }\n    }\n    function removeVnodes(vnodes, startIdx, endIdx) {\n        for (; startIdx <= endIdx; ++startIdx) {\n            var ch = vnodes[startIdx];\n            if (isDef(ch)) {\n                if (isDef(ch.tag)) {\n                    removeAndInvokeRemoveHook(ch);\n                    invokeDestroyHook(ch);\n                }\n                else {\n                    // Text node\n                    removeNode(ch.elm);\n                }\n            }\n        }\n    }\n    function removeAndInvokeRemoveHook(vnode, rm) {\n        if (isDef(rm) || isDef(vnode.data)) {\n            var i_3;\n            var listeners = cbs.remove.length + 1;\n            if (isDef(rm)) {\n                // we have a recursively passed down rm callback\n                // increase the listeners count\n                rm.listeners += listeners;\n            }\n            else {\n                // directly removing\n                rm = createRmCb(vnode.elm, listeners);\n            }\n            // recursively invoke hooks on child component root node\n            if (isDef((i_3 = vnode.componentInstance)) &&\n                isDef((i_3 = i_3._vnode)) &&\n                isDef(i_3.data)) {\n                removeAndInvokeRemoveHook(i_3, rm);\n            }\n            for (i_3 = 0; i_3 < cbs.remove.length; ++i_3) {\n                cbs.remove[i_3](vnode, rm);\n            }\n            if (isDef((i_3 = vnode.data.hook)) && isDef((i_3 = i_3.remove))) {\n                i_3(vnode, rm);\n            }\n            else {\n                rm();\n            }\n        }\n        else {\n            removeNode(vnode.elm);\n        }\n    }\n    function updateChildren(parentElm, oldCh, newCh, insertedVnodeQueue, removeOnly) {\n        var oldStartIdx = 0;\n        var newStartIdx = 0;\n        var oldEndIdx = oldCh.length - 1;\n        var oldStartVnode = oldCh[0];\n        var oldEndVnode = oldCh[oldEndIdx];\n        var newEndIdx = newCh.length - 1;\n        var newStartVnode = newCh[0];\n        var newEndVnode = newCh[newEndIdx];\n        var oldKeyToIdx, idxInOld, vnodeToMove, refElm;\n        // removeOnly is a special flag used only by <transition-group>\n        // to ensure removed elements stay in correct relative positions\n        // during leaving transitions\n        var canMove = !removeOnly;\n        if (process.env.NODE_ENV !== 'production') {\n            checkDuplicateKeys(newCh);\n        }\n        while (oldStartIdx <= oldEndIdx && newStartIdx <= newEndIdx) {\n            if (isUndef(oldStartVnode)) {\n                oldStartVnode = oldCh[++oldStartIdx]; // Vnode has been moved left\n            }\n            else if (isUndef(oldEndVnode)) {\n                oldEndVnode = oldCh[--oldEndIdx];\n            }\n            else if (sameVnode(oldStartVnode, newStartVnode)) {\n                patchVnode(oldStartVnode, newStartVnode, insertedVnodeQueue, newCh, newStartIdx);\n                oldStartVnode = oldCh[++oldStartIdx];\n                newStartVnode = newCh[++newStartIdx];\n            }\n            else if (sameVnode(oldEndVnode, newEndVnode)) {\n                patchVnode(oldEndVnode, newEndVnode, insertedVnodeQueue, newCh, newEndIdx);\n                oldEndVnode = oldCh[--oldEndIdx];\n                newEndVnode = newCh[--newEndIdx];\n            }\n            else if (sameVnode(oldStartVnode, newEndVnode)) {\n                // Vnode moved right\n                patchVnode(oldStartVnode, newEndVnode, insertedVnodeQueue, newCh, newEndIdx);\n                canMove &&\n                    nodeOps.insertBefore(parentElm, oldStartVnode.elm, nodeOps.nextSibling(oldEndVnode.elm));\n                oldStartVnode = oldCh[++oldStartIdx];\n                newEndVnode = newCh[--newEndIdx];\n            }\n            else if (sameVnode(oldEndVnode, newStartVnode)) {\n                // Vnode moved left\n                patchVnode(oldEndVnode, newStartVnode, insertedVnodeQueue, newCh, newStartIdx);\n                canMove &&\n                    nodeOps.insertBefore(parentElm, oldEndVnode.elm, oldStartVnode.elm);\n                oldEndVnode = oldCh[--oldEndIdx];\n                newStartVnode = newCh[++newStartIdx];\n            }\n            else {\n                if (isUndef(oldKeyToIdx))\n                    oldKeyToIdx = createKeyToOldIdx(oldCh, oldStartIdx, oldEndIdx);\n                idxInOld = isDef(newStartVnode.key)\n                    ? oldKeyToIdx[newStartVnode.key]\n                    : findIdxInOld(newStartVnode, oldCh, oldStartIdx, oldEndIdx);\n                if (isUndef(idxInOld)) {\n                    // New element\n                    createElm(newStartVnode, insertedVnodeQueue, parentElm, oldStartVnode.elm, false, newCh, newStartIdx);\n                }\n                else {\n                    vnodeToMove = oldCh[idxInOld];\n                    if (sameVnode(vnodeToMove, newStartVnode)) {\n                        patchVnode(vnodeToMove, newStartVnode, insertedVnodeQueue, newCh, newStartIdx);\n                        oldCh[idxInOld] = undefined;\n                        canMove &&\n                            nodeOps.insertBefore(parentElm, vnodeToMove.elm, oldStartVnode.elm);\n                    }\n                    else {\n                        // same key but different element. treat as new element\n                        createElm(newStartVnode, insertedVnodeQueue, parentElm, oldStartVnode.elm, false, newCh, newStartIdx);\n                    }\n                }\n                newStartVnode = newCh[++newStartIdx];\n            }\n        }\n        if (oldStartIdx > oldEndIdx) {\n            refElm = isUndef(newCh[newEndIdx + 1]) ? null : newCh[newEndIdx + 1].elm;\n            addVnodes(parentElm, refElm, newCh, newStartIdx, newEndIdx, insertedVnodeQueue);\n        }\n        else if (newStartIdx > newEndIdx) {\n            removeVnodes(oldCh, oldStartIdx, oldEndIdx);\n        }\n    }\n    function checkDuplicateKeys(children) {\n        var seenKeys = {};\n        for (var i_4 = 0; i_4 < children.length; i_4++) {\n            var vnode = children[i_4];\n            var key = vnode.key;\n            if (isDef(key)) {\n                if (seenKeys[key]) {\n                    warn(\"Duplicate keys detected: '\".concat(key, \"'. This may cause an update error.\"), vnode.context);\n                }\n                else {\n                    seenKeys[key] = true;\n                }\n            }\n        }\n    }\n    function findIdxInOld(node, oldCh, start, end) {\n        for (var i_5 = start; i_5 < end; i_5++) {\n            var c = oldCh[i_5];\n            if (isDef(c) && sameVnode(node, c))\n                return i_5;\n        }\n    }\n    function patchVnode(oldVnode, vnode, insertedVnodeQueue, ownerArray, index, removeOnly) {\n        if (oldVnode === vnode) {\n            return;\n        }\n        if (isDef(vnode.elm) && isDef(ownerArray)) {\n            // clone reused vnode\n            vnode = ownerArray[index] = cloneVNode(vnode);\n        }\n        var elm = (vnode.elm = oldVnode.elm);\n        if (isTrue(oldVnode.isAsyncPlaceholder)) {\n            if (isDef(vnode.asyncFactory.resolved)) {\n                hydrate(oldVnode.elm, vnode, insertedVnodeQueue);\n            }\n            else {\n                vnode.isAsyncPlaceholder = true;\n            }\n            return;\n        }\n        // reuse element for static trees.\n        // note we only do this if the vnode is cloned -\n        // if the new node is not cloned it means the render functions have been\n        // reset by the hot-reload-api and we need to do a proper re-render.\n        if (isTrue(vnode.isStatic) &&\n            isTrue(oldVnode.isStatic) &&\n            vnode.key === oldVnode.key &&\n            (isTrue(vnode.isCloned) || isTrue(vnode.isOnce))) {\n            vnode.componentInstance = oldVnode.componentInstance;\n            return;\n        }\n        var i;\n        var data = vnode.data;\n        if (isDef(data) && isDef((i = data.hook)) && isDef((i = i.prepatch))) {\n            i(oldVnode, vnode);\n        }\n        var oldCh = oldVnode.children;\n        var ch = vnode.children;\n        if (isDef(data) && isPatchable(vnode)) {\n            for (i = 0; i < cbs.update.length; ++i)\n                cbs.update[i](oldVnode, vnode);\n            if (isDef((i = data.hook)) && isDef((i = i.update)))\n                i(oldVnode, vnode);\n        }\n        if (isUndef(vnode.text)) {\n            if (isDef(oldCh) && isDef(ch)) {\n                if (oldCh !== ch)\n                    updateChildren(elm, oldCh, ch, insertedVnodeQueue, removeOnly);\n            }\n            else if (isDef(ch)) {\n                if (process.env.NODE_ENV !== 'production') {\n                    checkDuplicateKeys(ch);\n                }\n                if (isDef(oldVnode.text))\n                    nodeOps.setTextContent(elm, '');\n                addVnodes(elm, null, ch, 0, ch.length - 1, insertedVnodeQueue);\n            }\n            else if (isDef(oldCh)) {\n                removeVnodes(oldCh, 0, oldCh.length - 1);\n            }\n            else if (isDef(oldVnode.text)) {\n                nodeOps.setTextContent(elm, '');\n            }\n        }\n        else if (oldVnode.text !== vnode.text) {\n            nodeOps.setTextContent(elm, vnode.text);\n        }\n        if (isDef(data)) {\n            if (isDef((i = data.hook)) && isDef((i = i.postpatch)))\n                i(oldVnode, vnode);\n        }\n    }\n    function invokeInsertHook(vnode, queue, initial) {\n        // delay insert hooks for component root nodes, invoke them after the\n        // element is really inserted\n        if (isTrue(initial) && isDef(vnode.parent)) {\n            vnode.parent.data.pendingInsert = queue;\n        }\n        else {\n            for (var i_6 = 0; i_6 < queue.length; ++i_6) {\n                queue[i_6].data.hook.insert(queue[i_6]);\n            }\n        }\n    }\n    var hydrationBailed = false;\n    // list of modules that can skip create hook during hydration because they\n    // are already rendered on the client or has no need for initialization\n    // Note: style is excluded because it relies on initial clone for future\n    // deep updates (#7063).\n    var isRenderedModule = makeMap('attrs,class,staticClass,staticStyle,key');\n    // Note: this is a browser-only function so we can assume elms are DOM nodes.\n    function hydrate(elm, vnode, insertedVnodeQueue, inVPre) {\n        var i;\n        var tag = vnode.tag, data = vnode.data, children = vnode.children;\n        inVPre = inVPre || (data && data.pre);\n        vnode.elm = elm;\n        if (isTrue(vnode.isComment) && isDef(vnode.asyncFactory)) {\n            vnode.isAsyncPlaceholder = true;\n            return true;\n        }\n        // assert node match\n        if (process.env.NODE_ENV !== 'production') {\n            if (!assertNodeMatch(elm, vnode, inVPre)) {\n                return false;\n            }\n        }\n        if (isDef(data)) {\n            if (isDef((i = data.hook)) && isDef((i = i.init)))\n                i(vnode, true /* hydrating */);\n            if (isDef((i = vnode.componentInstance))) {\n                // child component. it should have hydrated its own tree.\n                initComponent(vnode, insertedVnodeQueue);\n                return true;\n            }\n        }\n        if (isDef(tag)) {\n            if (isDef(children)) {\n                // empty element, allow client to pick up and populate children\n                if (!elm.hasChildNodes()) {\n                    createChildren(vnode, children, insertedVnodeQueue);\n                }\n                else {\n                    // v-html and domProps: innerHTML\n                    if (isDef((i = data)) &&\n                        isDef((i = i.domProps)) &&\n                        isDef((i = i.innerHTML))) {\n                        if (i !== elm.innerHTML) {\n                            /* istanbul ignore if */\n                            if (process.env.NODE_ENV !== 'production' &&\n                                typeof console !== 'undefined' &&\n                                !hydrationBailed) {\n                                hydrationBailed = true;\n                                console.warn('Parent: ', elm);\n                                console.warn('server innerHTML: ', i);\n                                console.warn('client innerHTML: ', elm.innerHTML);\n                            }\n                            return false;\n                        }\n                    }\n                    else {\n                        // iterate and compare children lists\n                        var childrenMatch = true;\n                        var childNode = elm.firstChild;\n                        for (var i_7 = 0; i_7 < children.length; i_7++) {\n                            if (!childNode ||\n                                !hydrate(childNode, children[i_7], insertedVnodeQueue, inVPre)) {\n                                childrenMatch = false;\n                                break;\n                            }\n                            childNode = childNode.nextSibling;\n                        }\n                        // if childNode is not null, it means the actual childNodes list is\n                        // longer than the virtual children list.\n                        if (!childrenMatch || childNode) {\n                            /* istanbul ignore if */\n                            if (process.env.NODE_ENV !== 'production' &&\n                                typeof console !== 'undefined' &&\n                                !hydrationBailed) {\n                                hydrationBailed = true;\n                                console.warn('Parent: ', elm);\n                                console.warn('Mismatching childNodes vs. VNodes: ', elm.childNodes, children);\n                            }\n                            return false;\n                        }\n                    }\n                }\n            }\n            if (isDef(data)) {\n                var fullInvoke = false;\n                for (var key in data) {\n                    if (!isRenderedModule(key)) {\n                        fullInvoke = true;\n                        invokeCreateHooks(vnode, insertedVnodeQueue);\n                        break;\n                    }\n                }\n                if (!fullInvoke && data['class']) {\n                    // ensure collecting deps for deep class bindings for future updates\n                    traverse(data['class']);\n                }\n            }\n        }\n        else if (elm.data !== vnode.text) {\n            elm.data = vnode.text;\n        }\n        return true;\n    }\n    function assertNodeMatch(node, vnode, inVPre) {\n        if (isDef(vnode.tag)) {\n            return (vnode.tag.indexOf('vue-component') === 0 ||\n                (!isUnknownElement(vnode, inVPre) &&\n                    vnode.tag.toLowerCase() ===\n                        (node.tagName && node.tagName.toLowerCase())));\n        }\n        else {\n            return node.nodeType === (vnode.isComment ? 8 : 3);\n        }\n    }\n    return function patch(oldVnode, vnode, hydrating, removeOnly) {\n        if (isUndef(vnode)) {\n            if (isDef(oldVnode))\n                invokeDestroyHook(oldVnode);\n            return;\n        }\n        var isInitialPatch = false;\n        var insertedVnodeQueue = [];\n        if (isUndef(oldVnode)) {\n            // empty mount (likely as component), create new root element\n            isInitialPatch = true;\n            createElm(vnode, insertedVnodeQueue);\n        }\n        else {\n            var isRealElement = isDef(oldVnode.nodeType);\n            if (!isRealElement && sameVnode(oldVnode, vnode)) {\n                // patch existing root node\n                patchVnode(oldVnode, vnode, insertedVnodeQueue, null, null, removeOnly);\n            }\n            else {\n                if (isRealElement) {\n                    // mounting to a real element\n                    // check if this is server-rendered content and if we can perform\n                    // a successful hydration.\n                    if (oldVnode.nodeType === 1 && oldVnode.hasAttribute(SSR_ATTR)) {\n                        oldVnode.removeAttribute(SSR_ATTR);\n                        hydrating = true;\n                    }\n                    if (isTrue(hydrating)) {\n                        if (hydrate(oldVnode, vnode, insertedVnodeQueue)) {\n                            invokeInsertHook(vnode, insertedVnodeQueue, true);\n                            return oldVnode;\n                        }\n                        else if (process.env.NODE_ENV !== 'production') {\n                            warn('The client-side rendered virtual DOM tree is not matching ' +\n                                'server-rendered content. This is likely caused by incorrect ' +\n                                'HTML markup, for example nesting block-level elements inside ' +\n                                '<p>, or missing <tbody>. Bailing hydration and performing ' +\n                                'full client-side render.');\n                        }\n                    }\n                    // either not server-rendered, or hydration failed.\n                    // create an empty node and replace it\n                    oldVnode = emptyNodeAt(oldVnode);\n                }\n                // replacing existing element\n                var oldElm = oldVnode.elm;\n                var parentElm = nodeOps.parentNode(oldElm);\n                // create new node\n                createElm(vnode, insertedVnodeQueue, \n                // extremely rare edge case: do not insert if old element is in a\n                // leaving transition. Only happens when combining transition +\n                // keep-alive + HOCs. (#4590)\n                oldElm._leaveCb ? null : parentElm, nodeOps.nextSibling(oldElm));\n                // update parent placeholder node element, recursively\n                if (isDef(vnode.parent)) {\n                    var ancestor = vnode.parent;\n                    var patchable = isPatchable(vnode);\n                    while (ancestor) {\n                        for (var i_8 = 0; i_8 < cbs.destroy.length; ++i_8) {\n                            cbs.destroy[i_8](ancestor);\n                        }\n                        ancestor.elm = vnode.elm;\n                        if (patchable) {\n                            for (var i_9 = 0; i_9 < cbs.create.length; ++i_9) {\n                                cbs.create[i_9](emptyNode, ancestor);\n                            }\n                            // #6513\n                            // invoke insert hooks that may have been merged by create hooks.\n                            // e.g. for directives that uses the \"inserted\" hook.\n                            var insert_1 = ancestor.data.hook.insert;\n                            if (insert_1.merged) {\n                                // start at index 1 to avoid re-invoking component mounted hook\n                                for (var i_10 = 1; i_10 < insert_1.fns.length; i_10++) {\n                                    insert_1.fns[i_10]();\n                                }\n                            }\n                        }\n                        else {\n                            registerRef(ancestor);\n                        }\n                        ancestor = ancestor.parent;\n                    }\n                }\n                // destroy old node\n                if (isDef(parentElm)) {\n                    removeVnodes([oldVnode], 0, 0);\n                }\n                else if (isDef(oldVnode.tag)) {\n                    invokeDestroyHook(oldVnode);\n                }\n            }\n        }\n        invokeInsertHook(vnode, insertedVnodeQueue, isInitialPatch);\n        return vnode.elm;\n    };\n}\n\nvar directives = {\n    create: updateDirectives,\n    update: updateDirectives,\n    destroy: function unbindDirectives(vnode) {\n        // @ts-expect-error emptyNode is not VNodeWithData\n        updateDirectives(vnode, emptyNode);\n    }\n};\nfunction updateDirectives(oldVnode, vnode) {\n    if (oldVnode.data.directives || vnode.data.directives) {\n        _update(oldVnode, vnode);\n    }\n}\nfunction _update(oldVnode, vnode) {\n    var isCreate = oldVnode === emptyNode;\n    var isDestroy = vnode === emptyNode;\n    var oldDirs = normalizeDirectives(oldVnode.data.directives, oldVnode.context);\n    var newDirs = normalizeDirectives(vnode.data.directives, vnode.context);\n    var dirsWithInsert = [];\n    var dirsWithPostpatch = [];\n    var key, oldDir, dir;\n    for (key in newDirs) {\n        oldDir = oldDirs[key];\n        dir = newDirs[key];\n        if (!oldDir) {\n            // new directive, bind\n            callHook(dir, 'bind', vnode, oldVnode);\n            if (dir.def && dir.def.inserted) {\n                dirsWithInsert.push(dir);\n            }\n        }\n        else {\n            // existing directive, update\n            dir.oldValue = oldDir.value;\n            dir.oldArg = oldDir.arg;\n            callHook(dir, 'update', vnode, oldVnode);\n            if (dir.def && dir.def.componentUpdated) {\n                dirsWithPostpatch.push(dir);\n            }\n        }\n    }\n    if (dirsWithInsert.length) {\n        var callInsert = function () {\n            for (var i = 0; i < dirsWithInsert.length; i++) {\n                callHook(dirsWithInsert[i], 'inserted', vnode, oldVnode);\n            }\n        };\n        if (isCreate) {\n            mergeVNodeHook(vnode, 'insert', callInsert);\n        }\n        else {\n            callInsert();\n        }\n    }\n    if (dirsWithPostpatch.length) {\n        mergeVNodeHook(vnode, 'postpatch', function () {\n            for (var i = 0; i < dirsWithPostpatch.length; i++) {\n                callHook(dirsWithPostpatch[i], 'componentUpdated', vnode, oldVnode);\n            }\n        });\n    }\n    if (!isCreate) {\n        for (key in oldDirs) {\n            if (!newDirs[key]) {\n                // no longer present, unbind\n                callHook(oldDirs[key], 'unbind', oldVnode, oldVnode, isDestroy);\n            }\n        }\n    }\n}\nvar emptyModifiers = Object.create(null);\nfunction normalizeDirectives(dirs, vm) {\n    var res = Object.create(null);\n    if (!dirs) {\n        // $flow-disable-line\n        return res;\n    }\n    var i, dir;\n    for (i = 0; i < dirs.length; i++) {\n        dir = dirs[i];\n        if (!dir.modifiers) {\n            // $flow-disable-line\n            dir.modifiers = emptyModifiers;\n        }\n        res[getRawDirName(dir)] = dir;\n        if (vm._setupState && vm._setupState.__sfc) {\n            var setupDef = dir.def || resolveAsset(vm, '_setupState', 'v-' + dir.name);\n            if (typeof setupDef === 'function') {\n                dir.def = {\n                    bind: setupDef,\n                    update: setupDef,\n                };\n            }\n            else {\n                dir.def = setupDef;\n            }\n        }\n        dir.def = dir.def || resolveAsset(vm.$options, 'directives', dir.name, true);\n    }\n    // $flow-disable-line\n    return res;\n}\nfunction getRawDirName(dir) {\n    return (dir.rawName || \"\".concat(dir.name, \".\").concat(Object.keys(dir.modifiers || {}).join('.')));\n}\nfunction callHook(dir, hook, vnode, oldVnode, isDestroy) {\n    var fn = dir.def && dir.def[hook];\n    if (fn) {\n        try {\n            fn(vnode.elm, dir, vnode, oldVnode, isDestroy);\n        }\n        catch (e) {\n            handleError(e, vnode.context, \"directive \".concat(dir.name, \" \").concat(hook, \" hook\"));\n        }\n    }\n}\n\nvar baseModules = [ref, directives];\n\nfunction updateAttrs(oldVnode, vnode) {\n    var opts = vnode.componentOptions;\n    if (isDef(opts) && opts.Ctor.options.inheritAttrs === false) {\n        return;\n    }\n    if (isUndef(oldVnode.data.attrs) && isUndef(vnode.data.attrs)) {\n        return;\n    }\n    var key, cur, old;\n    var elm = vnode.elm;\n    var oldAttrs = oldVnode.data.attrs || {};\n    var attrs = vnode.data.attrs || {};\n    // clone observed objects, as the user probably wants to mutate it\n    if (isDef(attrs.__ob__) || isTrue(attrs._v_attr_proxy)) {\n        attrs = vnode.data.attrs = extend({}, attrs);\n    }\n    for (key in attrs) {\n        cur = attrs[key];\n        old = oldAttrs[key];\n        if (old !== cur) {\n            setAttr(elm, key, cur, vnode.data.pre);\n        }\n    }\n    // #4391: in IE9, setting type can reset value for input[type=radio]\n    // #6666: IE/Edge forces progress value down to 1 before setting a max\n    /* istanbul ignore if */\n    if ((isIE || isEdge) && attrs.value !== oldAttrs.value) {\n        setAttr(elm, 'value', attrs.value);\n    }\n    for (key in oldAttrs) {\n        if (isUndef(attrs[key])) {\n            if (isXlink(key)) {\n                elm.removeAttributeNS(xlinkNS, getXlinkProp(key));\n            }\n            else if (!isEnumeratedAttr(key)) {\n                elm.removeAttribute(key);\n            }\n        }\n    }\n}\nfunction setAttr(el, key, value, isInPre) {\n    if (isInPre || el.tagName.indexOf('-') > -1) {\n        baseSetAttr(el, key, value);\n    }\n    else if (isBooleanAttr(key)) {\n        // set attribute for blank value\n        // e.g. <option disabled>Select one</option>\n        if (isFalsyAttrValue(value)) {\n            el.removeAttribute(key);\n        }\n        else {\n            // technically allowfullscreen is a boolean attribute for <iframe>,\n            // but Flash expects a value of \"true\" when used on <embed> tag\n            value = key === 'allowfullscreen' && el.tagName === 'EMBED' ? 'true' : key;\n            el.setAttribute(key, value);\n        }\n    }\n    else if (isEnumeratedAttr(key)) {\n        el.setAttribute(key, convertEnumeratedValue(key, value));\n    }\n    else if (isXlink(key)) {\n        if (isFalsyAttrValue(value)) {\n            el.removeAttributeNS(xlinkNS, getXlinkProp(key));\n        }\n        else {\n            el.setAttributeNS(xlinkNS, key, value);\n        }\n    }\n    else {\n        baseSetAttr(el, key, value);\n    }\n}\nfunction baseSetAttr(el, key, value) {\n    if (isFalsyAttrValue(value)) {\n        el.removeAttribute(key);\n    }\n    else {\n        // #7138: IE10 & 11 fires input event when setting placeholder on\n        // <textarea>... block the first input event and remove the blocker\n        // immediately.\n        /* istanbul ignore if */\n        if (isIE &&\n            !isIE9 &&\n            el.tagName === 'TEXTAREA' &&\n            key === 'placeholder' &&\n            value !== '' &&\n            !el.__ieph) {\n            var blocker_1 = function (e) {\n                e.stopImmediatePropagation();\n                el.removeEventListener('input', blocker_1);\n            };\n            el.addEventListener('input', blocker_1);\n            // $flow-disable-line\n            el.__ieph = true; /* IE placeholder patched */\n        }\n        el.setAttribute(key, value);\n    }\n}\nvar attrs = {\n    create: updateAttrs,\n    update: updateAttrs\n};\n\nfunction updateClass(oldVnode, vnode) {\n    var el = vnode.elm;\n    var data = vnode.data;\n    var oldData = oldVnode.data;\n    if (isUndef(data.staticClass) &&\n        isUndef(data.class) &&\n        (isUndef(oldData) ||\n            (isUndef(oldData.staticClass) && isUndef(oldData.class)))) {\n        return;\n    }\n    var cls = genClassForVnode(vnode);\n    // handle transition classes\n    var transitionClass = el._transitionClasses;\n    if (isDef(transitionClass)) {\n        cls = concat(cls, stringifyClass(transitionClass));\n    }\n    // set the class\n    if (cls !== el._prevClass) {\n        el.setAttribute('class', cls);\n        el._prevClass = cls;\n    }\n}\nvar klass = {\n    create: updateClass,\n    update: updateClass\n};\n\n// in some cases, the event used has to be determined at runtime\n// so we used some reserved tokens during compile.\nvar RANGE_TOKEN = '__r';\nvar CHECKBOX_RADIO_TOKEN = '__c';\n\n// normalize v-model event tokens that can only be determined at runtime.\n// it's important to place the event as the first in the array because\n// the whole point is ensuring the v-model callback gets called before\n// user-attached handlers.\nfunction normalizeEvents(on) {\n    /* istanbul ignore if */\n    if (isDef(on[RANGE_TOKEN])) {\n        // IE input[type=range] only supports `change` event\n        var event_1 = isIE ? 'change' : 'input';\n        on[event_1] = [].concat(on[RANGE_TOKEN], on[event_1] || []);\n        delete on[RANGE_TOKEN];\n    }\n    // This was originally intended to fix #4521 but no longer necessary\n    // after 2.5. Keeping it for backwards compat with generated code from < 2.4\n    /* istanbul ignore if */\n    if (isDef(on[CHECKBOX_RADIO_TOKEN])) {\n        on.change = [].concat(on[CHECKBOX_RADIO_TOKEN], on.change || []);\n        delete on[CHECKBOX_RADIO_TOKEN];\n    }\n}\nvar target;\nfunction createOnceHandler(event, handler, capture) {\n    var _target = target; // save current target element in closure\n    return function onceHandler() {\n        var res = handler.apply(null, arguments);\n        if (res !== null) {\n            remove(event, onceHandler, capture, _target);\n        }\n    };\n}\n// #9446: Firefox <= 53 (in particular, ESR 52) has incorrect Event.timeStamp\n// implementation and does not fire microtasks in between event propagation, so\n// safe to exclude.\nvar useMicrotaskFix = isUsingMicroTask && !(isFF && Number(isFF[1]) <= 53);\nfunction add(name, handler, capture, passive) {\n    // async edge case #6566: inner click event triggers patch, event handler\n    // attached to outer element during patch, and triggered again. This\n    // happens because browsers fire microtask ticks between event propagation.\n    // the solution is simple: we save the timestamp when a handler is attached,\n    // and the handler would only fire if the event passed to it was fired\n    // AFTER it was attached.\n    if (useMicrotaskFix) {\n        var attachedTimestamp_1 = currentFlushTimestamp;\n        var original_1 = handler;\n        //@ts-expect-error\n        handler = original_1._wrapper = function (e) {\n            if (\n            // no bubbling, should always fire.\n            // this is just a safety net in case event.timeStamp is unreliable in\n            // certain weird environments...\n            e.target === e.currentTarget ||\n                // event is fired after handler attachment\n                e.timeStamp >= attachedTimestamp_1 ||\n                // bail for environments that have buggy event.timeStamp implementations\n                // #9462 iOS 9 bug: event.timeStamp is 0 after history.pushState\n                // #9681 QtWebEngine event.timeStamp is negative value\n                e.timeStamp <= 0 ||\n                // #9448 bail if event is fired in another document in a multi-page\n                // electron/nw.js app, since event.timeStamp will be using a different\n                // starting reference\n                e.target.ownerDocument !== document) {\n                return original_1.apply(this, arguments);\n            }\n        };\n    }\n    target.addEventListener(name, handler, supportsPassive ? { capture: capture, passive: passive } : capture);\n}\nfunction remove(name, handler, capture, _target) {\n    (_target || target).removeEventListener(name, \n    //@ts-expect-error\n    handler._wrapper || handler, capture);\n}\nfunction updateDOMListeners(oldVnode, vnode) {\n    if (isUndef(oldVnode.data.on) && isUndef(vnode.data.on)) {\n        return;\n    }\n    var on = vnode.data.on || {};\n    var oldOn = oldVnode.data.on || {};\n    // vnode is empty when removing all listeners,\n    // and use old vnode dom element\n    target = vnode.elm || oldVnode.elm;\n    normalizeEvents(on);\n    updateListeners(on, oldOn, add, remove, createOnceHandler, vnode.context);\n    target = undefined;\n}\nvar events = {\n    create: updateDOMListeners,\n    update: updateDOMListeners,\n    // @ts-expect-error emptyNode has actually data\n    destroy: function (vnode) { return updateDOMListeners(vnode, emptyNode); }\n};\n\nvar svgContainer;\nfunction updateDOMProps(oldVnode, vnode) {\n    if (isUndef(oldVnode.data.domProps) && isUndef(vnode.data.domProps)) {\n        return;\n    }\n    var key, cur;\n    var elm = vnode.elm;\n    var oldProps = oldVnode.data.domProps || {};\n    var props = vnode.data.domProps || {};\n    // clone observed objects, as the user probably wants to mutate it\n    if (isDef(props.__ob__) || isTrue(props._v_attr_proxy)) {\n        props = vnode.data.domProps = extend({}, props);\n    }\n    for (key in oldProps) {\n        if (!(key in props)) {\n            elm[key] = '';\n        }\n    }\n    for (key in props) {\n        cur = props[key];\n        // ignore children if the node has textContent or innerHTML,\n        // as these will throw away existing DOM nodes and cause removal errors\n        // on subsequent patches (#3360)\n        if (key === 'textContent' || key === 'innerHTML') {\n            if (vnode.children)\n                vnode.children.length = 0;\n            if (cur === oldProps[key])\n                continue;\n            // #6601 work around Chrome version <= 55 bug where single textNode\n            // replaced by innerHTML/textContent retains its parentNode property\n            if (elm.childNodes.length === 1) {\n                elm.removeChild(elm.childNodes[0]);\n            }\n        }\n        if (key === 'value' && elm.tagName !== 'PROGRESS') {\n            // store value as _value as well since\n            // non-string values will be stringified\n            elm._value = cur;\n            // avoid resetting cursor position when value is the same\n            var strCur = isUndef(cur) ? '' : String(cur);\n            if (shouldUpdateValue(elm, strCur)) {\n                elm.value = strCur;\n            }\n        }\n        else if (key === 'innerHTML' &&\n            isSVG(elm.tagName) &&\n            isUndef(elm.innerHTML)) {\n            // IE doesn't support innerHTML for SVG elements\n            svgContainer = svgContainer || document.createElement('div');\n            svgContainer.innerHTML = \"<svg>\".concat(cur, \"</svg>\");\n            var svg = svgContainer.firstChild;\n            while (elm.firstChild) {\n                elm.removeChild(elm.firstChild);\n            }\n            while (svg.firstChild) {\n                elm.appendChild(svg.firstChild);\n            }\n        }\n        else if (\n        // skip the update if old and new VDOM state is the same.\n        // `value` is handled separately because the DOM value may be temporarily\n        // out of sync with VDOM state due to focus, composition and modifiers.\n        // This  #4521 by skipping the unnecessary `checked` update.\n        cur !== oldProps[key]) {\n            // some property updates can throw\n            // e.g. `value` on <progress> w/ non-finite value\n            try {\n                elm[key] = cur;\n            }\n            catch (e) { }\n        }\n    }\n}\nfunction shouldUpdateValue(elm, checkVal) {\n    return (\n    //@ts-expect-error\n    !elm.composing &&\n        (elm.tagName === 'OPTION' ||\n            isNotInFocusAndDirty(elm, checkVal) ||\n            isDirtyWithModifiers(elm, checkVal)));\n}\nfunction isNotInFocusAndDirty(elm, checkVal) {\n    // return true when textbox (.number and .trim) loses focus and its value is\n    // not equal to the updated value\n    var notInFocus = true;\n    // #6157\n    // work around IE bug when accessing document.activeElement in an iframe\n    try {\n        notInFocus = document.activeElement !== elm;\n    }\n    catch (e) { }\n    return notInFocus && elm.value !== checkVal;\n}\nfunction isDirtyWithModifiers(elm, newVal) {\n    var value = elm.value;\n    var modifiers = elm._vModifiers; // injected by v-model runtime\n    if (isDef(modifiers)) {\n        if (modifiers.number) {\n            return toNumber(value) !== toNumber(newVal);\n        }\n        if (modifiers.trim) {\n            return value.trim() !== newVal.trim();\n        }\n    }\n    return value !== newVal;\n}\nvar domProps = {\n    create: updateDOMProps,\n    update: updateDOMProps\n};\n\nvar parseStyleText = cached(function (cssText) {\n    var res = {};\n    var listDelimiter = /;(?![^(]*\\))/g;\n    var propertyDelimiter = /:(.+)/;\n    cssText.split(listDelimiter).forEach(function (item) {\n        if (item) {\n            var tmp = item.split(propertyDelimiter);\n            tmp.length > 1 && (res[tmp[0].trim()] = tmp[1].trim());\n        }\n    });\n    return res;\n});\n// merge static and dynamic style data on the same vnode\nfunction normalizeStyleData(data) {\n    var style = normalizeStyleBinding(data.style);\n    // static style is pre-processed into an object during compilation\n    // and is always a fresh object, so it's safe to merge into it\n    return data.staticStyle ? extend(data.staticStyle, style) : style;\n}\n// normalize possible array / string values into Object\nfunction normalizeStyleBinding(bindingStyle) {\n    if (Array.isArray(bindingStyle)) {\n        return toObject(bindingStyle);\n    }\n    if (typeof bindingStyle === 'string') {\n        return parseStyleText(bindingStyle);\n    }\n    return bindingStyle;\n}\n/**\n * parent component style should be after child's\n * so that parent component's style could override it\n */\nfunction getStyle(vnode, checkChild) {\n    var res = {};\n    var styleData;\n    if (checkChild) {\n        var childNode = vnode;\n        while (childNode.componentInstance) {\n            childNode = childNode.componentInstance._vnode;\n            if (childNode &&\n                childNode.data &&\n                (styleData = normalizeStyleData(childNode.data))) {\n                extend(res, styleData);\n            }\n        }\n    }\n    if ((styleData = normalizeStyleData(vnode.data))) {\n        extend(res, styleData);\n    }\n    var parentNode = vnode;\n    // @ts-expect-error parentNode.parent not VNodeWithData\n    while ((parentNode = parentNode.parent)) {\n        if (parentNode.data && (styleData = normalizeStyleData(parentNode.data))) {\n            extend(res, styleData);\n        }\n    }\n    return res;\n}\n\nvar cssVarRE = /^--/;\nvar importantRE = /\\s*!important$/;\nvar setProp = function (el, name, val) {\n    /* istanbul ignore if */\n    if (cssVarRE.test(name)) {\n        el.style.setProperty(name, val);\n    }\n    else if (importantRE.test(val)) {\n        el.style.setProperty(hyphenate(name), val.replace(importantRE, ''), 'important');\n    }\n    else {\n        var normalizedName = normalize(name);\n        if (Array.isArray(val)) {\n            // Support values array created by autoprefixer, e.g.\n            // {display: [\"-webkit-box\", \"-ms-flexbox\", \"flex\"]}\n            // Set them one by one, and the browser will only set those it can recognize\n            for (var i = 0, len = val.length; i < len; i++) {\n                el.style[normalizedName] = val[i];\n            }\n        }\n        else {\n            el.style[normalizedName] = val;\n        }\n    }\n};\nvar vendorNames = ['Webkit', 'Moz', 'ms'];\nvar emptyStyle;\nvar normalize = cached(function (prop) {\n    emptyStyle = emptyStyle || document.createElement('div').style;\n    prop = camelize(prop);\n    if (prop !== 'filter' && prop in emptyStyle) {\n        return prop;\n    }\n    var capName = prop.charAt(0).toUpperCase() + prop.slice(1);\n    for (var i = 0; i < vendorNames.length; i++) {\n        var name_1 = vendorNames[i] + capName;\n        if (name_1 in emptyStyle) {\n            return name_1;\n        }\n    }\n});\nfunction updateStyle(oldVnode, vnode) {\n    var data = vnode.data;\n    var oldData = oldVnode.data;\n    if (isUndef(data.staticStyle) &&\n        isUndef(data.style) &&\n        isUndef(oldData.staticStyle) &&\n        isUndef(oldData.style)) {\n        return;\n    }\n    var cur, name;\n    var el = vnode.elm;\n    var oldStaticStyle = oldData.staticStyle;\n    var oldStyleBinding = oldData.normalizedStyle || oldData.style || {};\n    // if static style exists, stylebinding already merged into it when doing normalizeStyleData\n    var oldStyle = oldStaticStyle || oldStyleBinding;\n    var style = normalizeStyleBinding(vnode.data.style) || {};\n    // store normalized style under a different key for next diff\n    // make sure to clone it if it's reactive, since the user likely wants\n    // to mutate it.\n    vnode.data.normalizedStyle = isDef(style.__ob__) ? extend({}, style) : style;\n    var newStyle = getStyle(vnode, true);\n    for (name in oldStyle) {\n        if (isUndef(newStyle[name])) {\n            setProp(el, name, '');\n        }\n    }\n    for (name in newStyle) {\n        cur = newStyle[name];\n        if (cur !== oldStyle[name]) {\n            // ie9 setting to null has no effect, must use empty string\n            setProp(el, name, cur == null ? '' : cur);\n        }\n    }\n}\nvar style = {\n    create: updateStyle,\n    update: updateStyle\n};\n\nvar whitespaceRE = /\\s+/;\n/**\n * Add class with compatibility for SVG since classList is not supported on\n * SVG elements in IE\n */\nfunction addClass(el, cls) {\n    /* istanbul ignore if */\n    if (!cls || !(cls = cls.trim())) {\n        return;\n    }\n    /* istanbul ignore else */\n    if (el.classList) {\n        if (cls.indexOf(' ') > -1) {\n            cls.split(whitespaceRE).forEach(function (c) { return el.classList.add(c); });\n        }\n        else {\n            el.classList.add(cls);\n        }\n    }\n    else {\n        var cur = \" \".concat(el.getAttribute('class') || '', \" \");\n        if (cur.indexOf(' ' + cls + ' ') < 0) {\n            el.setAttribute('class', (cur + cls).trim());\n        }\n    }\n}\n/**\n * Remove class with compatibility for SVG since classList is not supported on\n * SVG elements in IE\n */\nfunction removeClass(el, cls) {\n    /* istanbul ignore if */\n    if (!cls || !(cls = cls.trim())) {\n        return;\n    }\n    /* istanbul ignore else */\n    if (el.classList) {\n        if (cls.indexOf(' ') > -1) {\n            cls.split(whitespaceRE).forEach(function (c) { return el.classList.remove(c); });\n        }\n        else {\n            el.classList.remove(cls);\n        }\n        if (!el.classList.length) {\n            el.removeAttribute('class');\n        }\n    }\n    else {\n        var cur = \" \".concat(el.getAttribute('class') || '', \" \");\n        var tar = ' ' + cls + ' ';\n        while (cur.indexOf(tar) >= 0) {\n            cur = cur.replace(tar, ' ');\n        }\n        cur = cur.trim();\n        if (cur) {\n            el.setAttribute('class', cur);\n        }\n        else {\n            el.removeAttribute('class');\n        }\n    }\n}\n\nfunction resolveTransition(def) {\n    if (!def) {\n        return;\n    }\n    /* istanbul ignore else */\n    if (typeof def === 'object') {\n        var res = {};\n        if (def.css !== false) {\n            extend(res, autoCssTransition(def.name || 'v'));\n        }\n        extend(res, def);\n        return res;\n    }\n    else if (typeof def === 'string') {\n        return autoCssTransition(def);\n    }\n}\nvar autoCssTransition = cached(function (name) {\n    return {\n        enterClass: \"\".concat(name, \"-enter\"),\n        enterToClass: \"\".concat(name, \"-enter-to\"),\n        enterActiveClass: \"\".concat(name, \"-enter-active\"),\n        leaveClass: \"\".concat(name, \"-leave\"),\n        leaveToClass: \"\".concat(name, \"-leave-to\"),\n        leaveActiveClass: \"\".concat(name, \"-leave-active\")\n    };\n});\nvar hasTransition = inBrowser && !isIE9;\nvar TRANSITION = 'transition';\nvar ANIMATION = 'animation';\n// Transition property/event sniffing\nvar transitionProp = 'transition';\nvar transitionEndEvent = 'transitionend';\nvar animationProp = 'animation';\nvar animationEndEvent = 'animationend';\nif (hasTransition) {\n    /* istanbul ignore if */\n    if (window.ontransitionend === undefined &&\n        window.onwebkittransitionend !== undefined) {\n        transitionProp = 'WebkitTransition';\n        transitionEndEvent = 'webkitTransitionEnd';\n    }\n    if (window.onanimationend === undefined &&\n        window.onwebkitanimationend !== undefined) {\n        animationProp = 'WebkitAnimation';\n        animationEndEvent = 'webkitAnimationEnd';\n    }\n}\n// binding to window is necessary to make hot reload work in IE in strict mode\nvar raf = inBrowser\n    ? window.requestAnimationFrame\n        ? window.requestAnimationFrame.bind(window)\n        : setTimeout\n    : /* istanbul ignore next */ function (/* istanbul ignore next */ fn) { return fn(); };\nfunction nextFrame(fn) {\n    raf(function () {\n        // @ts-expect-error\n        raf(fn);\n    });\n}\nfunction addTransitionClass(el, cls) {\n    var transitionClasses = el._transitionClasses || (el._transitionClasses = []);\n    if (transitionClasses.indexOf(cls) < 0) {\n        transitionClasses.push(cls);\n        addClass(el, cls);\n    }\n}\nfunction removeTransitionClass(el, cls) {\n    if (el._transitionClasses) {\n        remove$2(el._transitionClasses, cls);\n    }\n    removeClass(el, cls);\n}\nfunction whenTransitionEnds(el, expectedType, cb) {\n    var _a = getTransitionInfo(el, expectedType), type = _a.type, timeout = _a.timeout, propCount = _a.propCount;\n    if (!type)\n        return cb();\n    var event = type === TRANSITION ? transitionEndEvent : animationEndEvent;\n    var ended = 0;\n    var end = function () {\n        el.removeEventListener(event, onEnd);\n        cb();\n    };\n    var onEnd = function (e) {\n        if (e.target === el) {\n            if (++ended >= propCount) {\n                end();\n            }\n        }\n    };\n    setTimeout(function () {\n        if (ended < propCount) {\n            end();\n        }\n    }, timeout + 1);\n    el.addEventListener(event, onEnd);\n}\nvar transformRE = /\\b(transform|all)(,|$)/;\nfunction getTransitionInfo(el, expectedType) {\n    var styles = window.getComputedStyle(el);\n    // JSDOM may return undefined for transition properties\n    var transitionDelays = (styles[transitionProp + 'Delay'] || '').split(', ');\n    var transitionDurations = (styles[transitionProp + 'Duration'] || '').split(', ');\n    var transitionTimeout = getTimeout(transitionDelays, transitionDurations);\n    var animationDelays = (styles[animationProp + 'Delay'] || '').split(', ');\n    var animationDurations = (styles[animationProp + 'Duration'] || '').split(', ');\n    var animationTimeout = getTimeout(animationDelays, animationDurations);\n    var type;\n    var timeout = 0;\n    var propCount = 0;\n    /* istanbul ignore if */\n    if (expectedType === TRANSITION) {\n        if (transitionTimeout > 0) {\n            type = TRANSITION;\n            timeout = transitionTimeout;\n            propCount = transitionDurations.length;\n        }\n    }\n    else if (expectedType === ANIMATION) {\n        if (animationTimeout > 0) {\n            type = ANIMATION;\n            timeout = animationTimeout;\n            propCount = animationDurations.length;\n        }\n    }\n    else {\n        timeout = Math.max(transitionTimeout, animationTimeout);\n        type =\n            timeout > 0\n                ? transitionTimeout > animationTimeout\n                    ? TRANSITION\n                    : ANIMATION\n                : null;\n        propCount = type\n            ? type === TRANSITION\n                ? transitionDurations.length\n                : animationDurations.length\n            : 0;\n    }\n    var hasTransform = type === TRANSITION && transformRE.test(styles[transitionProp + 'Property']);\n    return {\n        type: type,\n        timeout: timeout,\n        propCount: propCount,\n        hasTransform: hasTransform\n    };\n}\nfunction getTimeout(delays, durations) {\n    /* istanbul ignore next */\n    while (delays.length < durations.length) {\n        delays = delays.concat(delays);\n    }\n    return Math.max.apply(null, durations.map(function (d, i) {\n        return toMs(d) + toMs(delays[i]);\n    }));\n}\n// Old versions of Chromium (below 61.0.3163.100) formats floating pointer numbers\n// in a locale-dependent way, using a comma instead of a dot.\n// If comma is not replaced with a dot, the input will be rounded down (i.e. acting\n// as a floor function) causing unexpected behaviors\nfunction toMs(s) {\n    return Number(s.slice(0, -1).replace(',', '.')) * 1000;\n}\n\nfunction enter(vnode, toggleDisplay) {\n    var el = vnode.elm;\n    // call leave callback now\n    if (isDef(el._leaveCb)) {\n        el._leaveCb.cancelled = true;\n        el._leaveCb();\n    }\n    var data = resolveTransition(vnode.data.transition);\n    if (isUndef(data)) {\n        return;\n    }\n    /* istanbul ignore if */\n    if (isDef(el._enterCb) || el.nodeType !== 1) {\n        return;\n    }\n    var css = data.css, type = data.type, enterClass = data.enterClass, enterToClass = data.enterToClass, enterActiveClass = data.enterActiveClass, appearClass = data.appearClass, appearToClass = data.appearToClass, appearActiveClass = data.appearActiveClass, beforeEnter = data.beforeEnter, enter = data.enter, afterEnter = data.afterEnter, enterCancelled = data.enterCancelled, beforeAppear = data.beforeAppear, appear = data.appear, afterAppear = data.afterAppear, appearCancelled = data.appearCancelled, duration = data.duration;\n    // activeInstance will always be the <transition> component managing this\n    // transition. One edge case to check is when the <transition> is placed\n    // as the root node of a child component. In that case we need to check\n    // <transition>'s parent for appear check.\n    var context = activeInstance;\n    var transitionNode = activeInstance.$vnode;\n    while (transitionNode && transitionNode.parent) {\n        context = transitionNode.context;\n        transitionNode = transitionNode.parent;\n    }\n    var isAppear = !context._isMounted || !vnode.isRootInsert;\n    if (isAppear && !appear && appear !== '') {\n        return;\n    }\n    var startClass = isAppear && appearClass ? appearClass : enterClass;\n    var activeClass = isAppear && appearActiveClass ? appearActiveClass : enterActiveClass;\n    var toClass = isAppear && appearToClass ? appearToClass : enterToClass;\n    var beforeEnterHook = isAppear ? beforeAppear || beforeEnter : beforeEnter;\n    var enterHook = isAppear ? (isFunction(appear) ? appear : enter) : enter;\n    var afterEnterHook = isAppear ? afterAppear || afterEnter : afterEnter;\n    var enterCancelledHook = isAppear\n        ? appearCancelled || enterCancelled\n        : enterCancelled;\n    var explicitEnterDuration = toNumber(isObject(duration) ? duration.enter : duration);\n    if (process.env.NODE_ENV !== 'production' && explicitEnterDuration != null) {\n        checkDuration(explicitEnterDuration, 'enter', vnode);\n    }\n    var expectsCSS = css !== false && !isIE9;\n    var userWantsControl = getHookArgumentsLength(enterHook);\n    var cb = (el._enterCb = once(function () {\n        if (expectsCSS) {\n            removeTransitionClass(el, toClass);\n            removeTransitionClass(el, activeClass);\n        }\n        // @ts-expect-error\n        if (cb.cancelled) {\n            if (expectsCSS) {\n                removeTransitionClass(el, startClass);\n            }\n            enterCancelledHook && enterCancelledHook(el);\n        }\n        else {\n            afterEnterHook && afterEnterHook(el);\n        }\n        el._enterCb = null;\n    }));\n    if (!vnode.data.show) {\n        // remove pending leave element on enter by injecting an insert hook\n        mergeVNodeHook(vnode, 'insert', function () {\n            var parent = el.parentNode;\n            var pendingNode = parent && parent._pending && parent._pending[vnode.key];\n            if (pendingNode &&\n                pendingNode.tag === vnode.tag &&\n                pendingNode.elm._leaveCb) {\n                pendingNode.elm._leaveCb();\n            }\n            enterHook && enterHook(el, cb);\n        });\n    }\n    // start enter transition\n    beforeEnterHook && beforeEnterHook(el);\n    if (expectsCSS) {\n        addTransitionClass(el, startClass);\n        addTransitionClass(el, activeClass);\n        nextFrame(function () {\n            removeTransitionClass(el, startClass);\n            // @ts-expect-error\n            if (!cb.cancelled) {\n                addTransitionClass(el, toClass);\n                if (!userWantsControl) {\n                    if (isValidDuration(explicitEnterDuration)) {\n                        setTimeout(cb, explicitEnterDuration);\n                    }\n                    else {\n                        whenTransitionEnds(el, type, cb);\n                    }\n                }\n            }\n        });\n    }\n    if (vnode.data.show) {\n        toggleDisplay && toggleDisplay();\n        enterHook && enterHook(el, cb);\n    }\n    if (!expectsCSS && !userWantsControl) {\n        cb();\n    }\n}\nfunction leave(vnode, rm) {\n    var el = vnode.elm;\n    // call enter callback now\n    if (isDef(el._enterCb)) {\n        el._enterCb.cancelled = true;\n        el._enterCb();\n    }\n    var data = resolveTransition(vnode.data.transition);\n    if (isUndef(data) || el.nodeType !== 1) {\n        return rm();\n    }\n    /* istanbul ignore if */\n    if (isDef(el._leaveCb)) {\n        return;\n    }\n    var css = data.css, type = data.type, leaveClass = data.leaveClass, leaveToClass = data.leaveToClass, leaveActiveClass = data.leaveActiveClass, beforeLeave = data.beforeLeave, leave = data.leave, afterLeave = data.afterLeave, leaveCancelled = data.leaveCancelled, delayLeave = data.delayLeave, duration = data.duration;\n    var expectsCSS = css !== false && !isIE9;\n    var userWantsControl = getHookArgumentsLength(leave);\n    var explicitLeaveDuration = toNumber(isObject(duration) ? duration.leave : duration);\n    if (process.env.NODE_ENV !== 'production' && isDef(explicitLeaveDuration)) {\n        checkDuration(explicitLeaveDuration, 'leave', vnode);\n    }\n    var cb = (el._leaveCb = once(function () {\n        if (el.parentNode && el.parentNode._pending) {\n            el.parentNode._pending[vnode.key] = null;\n        }\n        if (expectsCSS) {\n            removeTransitionClass(el, leaveToClass);\n            removeTransitionClass(el, leaveActiveClass);\n        }\n        // @ts-expect-error\n        if (cb.cancelled) {\n            if (expectsCSS) {\n                removeTransitionClass(el, leaveClass);\n            }\n            leaveCancelled && leaveCancelled(el);\n        }\n        else {\n            rm();\n            afterLeave && afterLeave(el);\n        }\n        el._leaveCb = null;\n    }));\n    if (delayLeave) {\n        delayLeave(performLeave);\n    }\n    else {\n        performLeave();\n    }\n    function performLeave() {\n        // the delayed leave may have already been cancelled\n        // @ts-expect-error\n        if (cb.cancelled) {\n            return;\n        }\n        // record leaving element\n        if (!vnode.data.show && el.parentNode) {\n            (el.parentNode._pending || (el.parentNode._pending = {}))[vnode.key] =\n                vnode;\n        }\n        beforeLeave && beforeLeave(el);\n        if (expectsCSS) {\n            addTransitionClass(el, leaveClass);\n            addTransitionClass(el, leaveActiveClass);\n            nextFrame(function () {\n                removeTransitionClass(el, leaveClass);\n                // @ts-expect-error\n                if (!cb.cancelled) {\n                    addTransitionClass(el, leaveToClass);\n                    if (!userWantsControl) {\n                        if (isValidDuration(explicitLeaveDuration)) {\n                            setTimeout(cb, explicitLeaveDuration);\n                        }\n                        else {\n                            whenTransitionEnds(el, type, cb);\n                        }\n                    }\n                }\n            });\n        }\n        leave && leave(el, cb);\n        if (!expectsCSS && !userWantsControl) {\n            cb();\n        }\n    }\n}\n// only used in dev mode\nfunction checkDuration(val, name, vnode) {\n    if (typeof val !== 'number') {\n        warn(\"<transition> explicit \".concat(name, \" duration is not a valid number - \") +\n            \"got \".concat(JSON.stringify(val), \".\"), vnode.context);\n    }\n    else if (isNaN(val)) {\n        warn(\"<transition> explicit \".concat(name, \" duration is NaN - \") +\n            'the duration expression might be incorrect.', vnode.context);\n    }\n}\nfunction isValidDuration(val) {\n    return typeof val === 'number' && !isNaN(val);\n}\n/**\n * Normalize a transition hook's argument length. The hook may be:\n * - a merged hook (invoker) with the original in .fns\n * - a wrapped component method (check ._length)\n * - a plain function (.length)\n */\nfunction getHookArgumentsLength(fn) {\n    if (isUndef(fn)) {\n        return false;\n    }\n    // @ts-expect-error\n    var invokerFns = fn.fns;\n    if (isDef(invokerFns)) {\n        // invoker\n        return getHookArgumentsLength(Array.isArray(invokerFns) ? invokerFns[0] : invokerFns);\n    }\n    else {\n        // @ts-expect-error\n        return (fn._length || fn.length) > 1;\n    }\n}\nfunction _enter(_, vnode) {\n    if (vnode.data.show !== true) {\n        enter(vnode);\n    }\n}\nvar transition = inBrowser\n    ? {\n        create: _enter,\n        activate: _enter,\n        remove: function (vnode, rm) {\n            /* istanbul ignore else */\n            if (vnode.data.show !== true) {\n                // @ts-expect-error\n                leave(vnode, rm);\n            }\n            else {\n                rm();\n            }\n        }\n    }\n    : {};\n\nvar platformModules = [attrs, klass, events, domProps, style, transition];\n\n// the directive module should be applied last, after all\n// built-in modules have been applied.\nvar modules = platformModules.concat(baseModules);\nvar patch = createPatchFunction({ nodeOps: nodeOps, modules: modules });\n\n/**\n * Not type checking this file because flow doesn't like attaching\n * properties to Elements.\n */\n/* istanbul ignore if */\nif (isIE9) {\n    // http://www.matts411.com/post/internet-explorer-9-oninput/\n    document.addEventListener('selectionchange', function () {\n        var el = document.activeElement;\n        // @ts-expect-error\n        if (el && el.vmodel) {\n            trigger(el, 'input');\n        }\n    });\n}\nvar directive = {\n    inserted: function (el, binding, vnode, oldVnode) {\n        if (vnode.tag === 'select') {\n            // #6903\n            if (oldVnode.elm && !oldVnode.elm._vOptions) {\n                mergeVNodeHook(vnode, 'postpatch', function () {\n                    directive.componentUpdated(el, binding, vnode);\n                });\n            }\n            else {\n                setSelected(el, binding, vnode.context);\n            }\n            el._vOptions = [].map.call(el.options, getValue);\n        }\n        else if (vnode.tag === 'textarea' || isTextInputType(el.type)) {\n            el._vModifiers = binding.modifiers;\n            if (!binding.modifiers.lazy) {\n                el.addEventListener('compositionstart', onCompositionStart);\n                el.addEventListener('compositionend', onCompositionEnd);\n                // Safari < 10.2 & UIWebView doesn't fire compositionend when\n                // switching focus before confirming composition choice\n                // this also fixes the issue where some browsers e.g. iOS Chrome\n                // fires \"change\" instead of \"input\" on autocomplete.\n                el.addEventListener('change', onCompositionEnd);\n                /* istanbul ignore if */\n                if (isIE9) {\n                    el.vmodel = true;\n                }\n            }\n        }\n    },\n    componentUpdated: function (el, binding, vnode) {\n        if (vnode.tag === 'select') {\n            setSelected(el, binding, vnode.context);\n            // in case the options rendered by v-for have changed,\n            // it's possible that the value is out-of-sync with the rendered options.\n            // detect such cases and filter out values that no longer has a matching\n            // option in the DOM.\n            var prevOptions_1 = el._vOptions;\n            var curOptions_1 = (el._vOptions = [].map.call(el.options, getValue));\n            if (curOptions_1.some(function (o, i) { return !looseEqual(o, prevOptions_1[i]); })) {\n                // trigger change event if\n                // no matching option found for at least one value\n                var needReset = el.multiple\n                    ? binding.value.some(function (v) { return hasNoMatchingOption(v, curOptions_1); })\n                    : binding.value !== binding.oldValue &&\n                        hasNoMatchingOption(binding.value, curOptions_1);\n                if (needReset) {\n                    trigger(el, 'change');\n                }\n            }\n        }\n    }\n};\nfunction setSelected(el, binding, vm) {\n    actuallySetSelected(el, binding, vm);\n    /* istanbul ignore if */\n    if (isIE || isEdge) {\n        setTimeout(function () {\n            actuallySetSelected(el, binding, vm);\n        }, 0);\n    }\n}\nfunction actuallySetSelected(el, binding, vm) {\n    var value = binding.value;\n    var isMultiple = el.multiple;\n    if (isMultiple && !Array.isArray(value)) {\n        process.env.NODE_ENV !== 'production' &&\n            warn(\"<select multiple v-model=\\\"\".concat(binding.expression, \"\\\"> \") +\n                \"expects an Array value for its binding, but got \".concat(Object.prototype.toString\n                    .call(value)\n                    .slice(8, -1)), vm);\n        return;\n    }\n    var selected, option;\n    for (var i = 0, l = el.options.length; i < l; i++) {\n        option = el.options[i];\n        if (isMultiple) {\n            selected = looseIndexOf(value, getValue(option)) > -1;\n            if (option.selected !== selected) {\n                option.selected = selected;\n            }\n        }\n        else {\n            if (looseEqual(getValue(option), value)) {\n                if (el.selectedIndex !== i) {\n                    el.selectedIndex = i;\n                }\n                return;\n            }\n        }\n    }\n    if (!isMultiple) {\n        el.selectedIndex = -1;\n    }\n}\nfunction hasNoMatchingOption(value, options) {\n    return options.every(function (o) { return !looseEqual(o, value); });\n}\nfunction getValue(option) {\n    return '_value' in option ? option._value : option.value;\n}\nfunction onCompositionStart(e) {\n    e.target.composing = true;\n}\nfunction onCompositionEnd(e) {\n    // prevent triggering an input event for no reason\n    if (!e.target.composing)\n        return;\n    e.target.composing = false;\n    trigger(e.target, 'input');\n}\nfunction trigger(el, type) {\n    var e = document.createEvent('HTMLEvents');\n    e.initEvent(type, true, true);\n    el.dispatchEvent(e);\n}\n\n// recursively search for possible transition defined inside the component root\nfunction locateNode(vnode) {\n    // @ts-expect-error\n    return vnode.componentInstance && (!vnode.data || !vnode.data.transition)\n        ? locateNode(vnode.componentInstance._vnode)\n        : vnode;\n}\nvar show = {\n    bind: function (el, _a, vnode) {\n        var value = _a.value;\n        vnode = locateNode(vnode);\n        var transition = vnode.data && vnode.data.transition;\n        var originalDisplay = (el.__vOriginalDisplay =\n            el.style.display === 'none' ? '' : el.style.display);\n        if (value && transition) {\n            vnode.data.show = true;\n            enter(vnode, function () {\n                el.style.display = originalDisplay;\n            });\n        }\n        else {\n            el.style.display = value ? originalDisplay : 'none';\n        }\n    },\n    update: function (el, _a, vnode) {\n        var value = _a.value, oldValue = _a.oldValue;\n        /* istanbul ignore if */\n        if (!value === !oldValue)\n            return;\n        vnode = locateNode(vnode);\n        var transition = vnode.data && vnode.data.transition;\n        if (transition) {\n            vnode.data.show = true;\n            if (value) {\n                enter(vnode, function () {\n                    el.style.display = el.__vOriginalDisplay;\n                });\n            }\n            else {\n                leave(vnode, function () {\n                    el.style.display = 'none';\n                });\n            }\n        }\n        else {\n            el.style.display = value ? el.__vOriginalDisplay : 'none';\n        }\n    },\n    unbind: function (el, binding, vnode, oldVnode, isDestroy) {\n        if (!isDestroy) {\n            el.style.display = el.__vOriginalDisplay;\n        }\n    }\n};\n\nvar platformDirectives = {\n    model: directive,\n    show: show\n};\n\n// Provides transition support for a single element/component.\nvar transitionProps = {\n    name: String,\n    appear: Boolean,\n    css: Boolean,\n    mode: String,\n    type: String,\n    enterClass: String,\n    leaveClass: String,\n    enterToClass: String,\n    leaveToClass: String,\n    enterActiveClass: String,\n    leaveActiveClass: String,\n    appearClass: String,\n    appearActiveClass: String,\n    appearToClass: String,\n    duration: [Number, String, Object]\n};\n// in case the child is also an abstract component, e.g. <keep-alive>\n// we want to recursively retrieve the real component to be rendered\nfunction getRealChild(vnode) {\n    var compOptions = vnode && vnode.componentOptions;\n    if (compOptions && compOptions.Ctor.options.abstract) {\n        return getRealChild(getFirstComponentChild(compOptions.children));\n    }\n    else {\n        return vnode;\n    }\n}\nfunction extractTransitionData(comp) {\n    var data = {};\n    var options = comp.$options;\n    // props\n    for (var key in options.propsData) {\n        data[key] = comp[key];\n    }\n    // events.\n    // extract listeners and pass them directly to the transition methods\n    var listeners = options._parentListeners;\n    for (var key in listeners) {\n        data[camelize(key)] = listeners[key];\n    }\n    return data;\n}\nfunction placeholder(h, rawChild) {\n    // @ts-expect-error\n    if (/\\d-keep-alive$/.test(rawChild.tag)) {\n        return h('keep-alive', {\n            props: rawChild.componentOptions.propsData\n        });\n    }\n}\nfunction hasParentTransition(vnode) {\n    while ((vnode = vnode.parent)) {\n        if (vnode.data.transition) {\n            return true;\n        }\n    }\n}\nfunction isSameChild(child, oldChild) {\n    return oldChild.key === child.key && oldChild.tag === child.tag;\n}\nvar isNotTextNode = function (c) { return c.tag || isAsyncPlaceholder(c); };\nvar isVShowDirective = function (d) { return d.name === 'show'; };\nvar Transition = {\n    name: 'transition',\n    props: transitionProps,\n    abstract: true,\n    render: function (h) {\n        var _this = this;\n        var children = this.$slots.default;\n        if (!children) {\n            return;\n        }\n        // filter out text nodes (possible whitespaces)\n        children = children.filter(isNotTextNode);\n        /* istanbul ignore if */\n        if (!children.length) {\n            return;\n        }\n        // warn multiple elements\n        if (process.env.NODE_ENV !== 'production' && children.length > 1) {\n            warn('<transition> can only be used on a single element. Use ' +\n                '<transition-group> for lists.', this.$parent);\n        }\n        var mode = this.mode;\n        // warn invalid mode\n        if (process.env.NODE_ENV !== 'production' && mode && mode !== 'in-out' && mode !== 'out-in') {\n            warn('invalid <transition> mode: ' + mode, this.$parent);\n        }\n        var rawChild = children[0];\n        // if this is a component root node and the component's\n        // parent container node also has transition, skip.\n        if (hasParentTransition(this.$vnode)) {\n            return rawChild;\n        }\n        // apply transition data to child\n        // use getRealChild() to ignore abstract components e.g. keep-alive\n        var child = getRealChild(rawChild);\n        /* istanbul ignore if */\n        if (!child) {\n            return rawChild;\n        }\n        if (this._leaving) {\n            return placeholder(h, rawChild);\n        }\n        // ensure a key that is unique to the vnode type and to this transition\n        // component instance. This key will be used to remove pending leaving nodes\n        // during entering.\n        var id = \"__transition-\".concat(this._uid, \"-\");\n        child.key =\n            child.key == null\n                ? child.isComment\n                    ? id + 'comment'\n                    : id + child.tag\n                : isPrimitive(child.key)\n                    ? String(child.key).indexOf(id) === 0\n                        ? child.key\n                        : id + child.key\n                    : child.key;\n        var data = ((child.data || (child.data = {})).transition =\n            extractTransitionData(this));\n        var oldRawChild = this._vnode;\n        var oldChild = getRealChild(oldRawChild);\n        // mark v-show\n        // so that the transition module can hand over the control to the directive\n        if (child.data.directives && child.data.directives.some(isVShowDirective)) {\n            child.data.show = true;\n        }\n        if (oldChild &&\n            oldChild.data &&\n            !isSameChild(child, oldChild) &&\n            !isAsyncPlaceholder(oldChild) &&\n            // #6687 component root is a comment node\n            !(oldChild.componentInstance &&\n                oldChild.componentInstance._vnode.isComment)) {\n            // replace old child transition data with fresh one\n            // important for dynamic transitions!\n            var oldData = (oldChild.data.transition = extend({}, data));\n            // handle transition mode\n            if (mode === 'out-in') {\n                // return placeholder node and queue update when leave finishes\n                this._leaving = true;\n                mergeVNodeHook(oldData, 'afterLeave', function () {\n                    _this._leaving = false;\n                    _this.$forceUpdate();\n                });\n                return placeholder(h, rawChild);\n            }\n            else if (mode === 'in-out') {\n                if (isAsyncPlaceholder(child)) {\n                    return oldRawChild;\n                }\n                var delayedLeave_1;\n                var performLeave = function () {\n                    delayedLeave_1();\n                };\n                mergeVNodeHook(data, 'afterEnter', performLeave);\n                mergeVNodeHook(data, 'enterCancelled', performLeave);\n                mergeVNodeHook(oldData, 'delayLeave', function (leave) {\n                    delayedLeave_1 = leave;\n                });\n            }\n        }\n        return rawChild;\n    }\n};\n\n// Provides transition support for list items.\nvar props = extend({\n    tag: String,\n    moveClass: String\n}, transitionProps);\ndelete props.mode;\nvar TransitionGroup = {\n    props: props,\n    beforeMount: function () {\n        var _this = this;\n        var update = this._update;\n        this._update = function (vnode, hydrating) {\n            var restoreActiveInstance = setActiveInstance(_this);\n            // force removing pass\n            _this.__patch__(_this._vnode, _this.kept, false, // hydrating\n            true // removeOnly (!important, avoids unnecessary moves)\n            );\n            _this._vnode = _this.kept;\n            restoreActiveInstance();\n            update.call(_this, vnode, hydrating);\n        };\n    },\n    render: function (h) {\n        var tag = this.tag || this.$vnode.data.tag || 'span';\n        var map = Object.create(null);\n        var prevChildren = (this.prevChildren = this.children);\n        var rawChildren = this.$slots.default || [];\n        var children = (this.children = []);\n        var transitionData = extractTransitionData(this);\n        for (var i = 0; i < rawChildren.length; i++) {\n            var c = rawChildren[i];\n            if (c.tag) {\n                if (c.key != null && String(c.key).indexOf('__vlist') !== 0) {\n                    children.push(c);\n                    map[c.key] = c;\n                    (c.data || (c.data = {})).transition = transitionData;\n                }\n                else if (process.env.NODE_ENV !== 'production') {\n                    var opts = c.componentOptions;\n                    var name_1 = opts\n                        ? getComponentName(opts.Ctor.options) || opts.tag || ''\n                        : c.tag;\n                    warn(\"<transition-group> children must be keyed: <\".concat(name_1, \">\"));\n                }\n            }\n        }\n        if (prevChildren) {\n            var kept = [];\n            var removed = [];\n            for (var i = 0; i < prevChildren.length; i++) {\n                var c = prevChildren[i];\n                c.data.transition = transitionData;\n                // @ts-expect-error .getBoundingClientRect is not typed in Node\n                c.data.pos = c.elm.getBoundingClientRect();\n                if (map[c.key]) {\n                    kept.push(c);\n                }\n                else {\n                    removed.push(c);\n                }\n            }\n            this.kept = h(tag, null, kept);\n            this.removed = removed;\n        }\n        return h(tag, null, children);\n    },\n    updated: function () {\n        var children = this.prevChildren;\n        var moveClass = this.moveClass || (this.name || 'v') + '-move';\n        if (!children.length || !this.hasMove(children[0].elm, moveClass)) {\n            return;\n        }\n        // we divide the work into three loops to avoid mixing DOM reads and writes\n        // in each iteration - which helps prevent layout thrashing.\n        children.forEach(callPendingCbs);\n        children.forEach(recordPosition);\n        children.forEach(applyTranslation);\n        // force reflow to put everything in position\n        // assign to this to avoid being removed in tree-shaking\n        // $flow-disable-line\n        this._reflow = document.body.offsetHeight;\n        children.forEach(function (c) {\n            if (c.data.moved) {\n                var el_1 = c.elm;\n                var s = el_1.style;\n                addTransitionClass(el_1, moveClass);\n                s.transform = s.WebkitTransform = s.transitionDuration = '';\n                el_1.addEventListener(transitionEndEvent, (el_1._moveCb = function cb(e) {\n                    if (e && e.target !== el_1) {\n                        return;\n                    }\n                    if (!e || /transform$/.test(e.propertyName)) {\n                        el_1.removeEventListener(transitionEndEvent, cb);\n                        el_1._moveCb = null;\n                        removeTransitionClass(el_1, moveClass);\n                    }\n                }));\n            }\n        });\n    },\n    methods: {\n        hasMove: function (el, moveClass) {\n            /* istanbul ignore if */\n            if (!hasTransition) {\n                return false;\n            }\n            /* istanbul ignore if */\n            if (this._hasMove) {\n                return this._hasMove;\n            }\n            // Detect whether an element with the move class applied has\n            // CSS transitions. Since the element may be inside an entering\n            // transition at this very moment, we make a clone of it and remove\n            // all other transition classes applied to ensure only the move class\n            // is applied.\n            var clone = el.cloneNode();\n            if (el._transitionClasses) {\n                el._transitionClasses.forEach(function (cls) {\n                    removeClass(clone, cls);\n                });\n            }\n            addClass(clone, moveClass);\n            clone.style.display = 'none';\n            this.$el.appendChild(clone);\n            var info = getTransitionInfo(clone);\n            this.$el.removeChild(clone);\n            return (this._hasMove = info.hasTransform);\n        }\n    }\n};\nfunction callPendingCbs(c) {\n    /* istanbul ignore if */\n    if (c.elm._moveCb) {\n        c.elm._moveCb();\n    }\n    /* istanbul ignore if */\n    if (c.elm._enterCb) {\n        c.elm._enterCb();\n    }\n}\nfunction recordPosition(c) {\n    c.data.newPos = c.elm.getBoundingClientRect();\n}\nfunction applyTranslation(c) {\n    var oldPos = c.data.pos;\n    var newPos = c.data.newPos;\n    var dx = oldPos.left - newPos.left;\n    var dy = oldPos.top - newPos.top;\n    if (dx || dy) {\n        c.data.moved = true;\n        var s = c.elm.style;\n        s.transform = s.WebkitTransform = \"translate(\".concat(dx, \"px,\").concat(dy, \"px)\");\n        s.transitionDuration = '0s';\n    }\n}\n\nvar platformComponents = {\n    Transition: Transition,\n    TransitionGroup: TransitionGroup\n};\n\n// install platform specific utils\nVue.config.mustUseProp = mustUseProp;\nVue.config.isReservedTag = isReservedTag;\nVue.config.isReservedAttr = isReservedAttr;\nVue.config.getTagNamespace = getTagNamespace;\nVue.config.isUnknownElement = isUnknownElement;\n// install platform runtime directives & components\nextend(Vue.options.directives, platformDirectives);\nextend(Vue.options.components, platformComponents);\n// install platform patch function\nVue.prototype.__patch__ = inBrowser ? patch : noop;\n// public mount method\nVue.prototype.$mount = function (el, hydrating) {\n    el = el && inBrowser ? query(el) : undefined;\n    return mountComponent(this, el, hydrating);\n};\n// devtools global hook\n/* istanbul ignore next */\nif (inBrowser) {\n    setTimeout(function () {\n        if (config.devtools) {\n            if (devtools) {\n                devtools.emit('init', Vue);\n            }\n            else if (process.env.NODE_ENV !== 'production' && process.env.NODE_ENV !== 'test') {\n                // @ts-expect-error\n                console[console.info ? 'info' : 'log']('Download the Vue Devtools extension for a better development experience:\\n' +\n                    'https://github.com/vuejs/vue-devtools');\n            }\n        }\n        if (process.env.NODE_ENV !== 'production' &&\n            process.env.NODE_ENV !== 'test' &&\n            config.productionTip !== false &&\n            typeof console !== 'undefined') {\n            // @ts-expect-error\n            console[console.info ? 'info' : 'log'](\"You are running Vue in development mode.\\n\" +\n                \"Make sure to turn on production mode when deploying for production.\\n\" +\n                \"See more tips at https://vuejs.org/guide/deployment.html\");\n        }\n    }, 0);\n}\n\nexport { EffectScope, computed, customRef, Vue as default, defineAsyncComponent, defineComponent, del, effectScope, getCurrentInstance, getCurrentScope, h, inject, isProxy, isReactive, isReadonly, isRef, isShallow, markRaw, mergeDefaults, nextTick, onActivated, onBeforeMount, onBeforeUnmount, onBeforeUpdate, onDeactivated, onErrorCaptured, onMounted, onRenderTracked, onRenderTriggered, onScopeDispose, onServerPrefetch, onUnmounted, onUpdated, provide, proxyRefs, reactive, readonly, ref$1 as ref, set, shallowReactive, shallowReadonly, shallowRef, toRaw, toRef, toRefs, triggerRef, unref, useAttrs, useCssModule, useCssVars, useListeners, useSlots, version, watch, watchEffect, watchPostEffect, watchSyncEffect };\n","/**\r\n * Vue Cookies v1.8.4\r\n * https://github.com/cmp-cc/vue-cookies\r\n *\r\n * Copyright 2016, cmp-cc\r\n * Released under the MIT license\r\n */\r\n\r\n (function () {\r\n\r\n  var defaultConfig = {\r\n    expires: '1d',\r\n    path: '; path=/',\r\n    domain: '',\r\n    secure: '',\r\n    sameSite: '; SameSite=Lax',\r\n    partitioned : ''\r\n  };\r\n\r\n  var VueCookies = {\r\n    // install of Vue\r\n    install: function (Vue, options) {\r\n      if (options) this.config(options.expires, options.path, options.domain, options.secure, options.sameSite, options.partitioned);\r\n      if (Vue.prototype) Vue.prototype.$cookies = this;\r\n      if (Vue.config && Vue.config.globalProperties) {\r\n        Vue.config.globalProperties.$cookies = this;\r\n        Vue.provide('$cookies', this);\r\n      }\r\n      Vue.$cookies = this;\r\n    },\r\n    config: function (expires, path, domain, secure, sameSite, partitioned) {\r\n      defaultConfig.expires = expires ? expires : '1d';\r\n      defaultConfig.path = path ? '; path=' + path : '; path=/';\r\n      defaultConfig.domain = domain ? '; domain=' + domain : '';\r\n      defaultConfig.secure = secure ? '; Secure' : '';\r\n      defaultConfig.sameSite = sameSite ? '; SameSite=' + sameSite : '; SameSite=Lax';\r\n      defaultConfig.partitioned = partitioned ? '; Partitioned' : '';\r\n    },\r\n    get: function (key) {\r\n      var value = decodeURIComponent(document.cookie.replace(new RegExp('(?:(?:^|.*;)\\\\s*' + encodeURIComponent(key).replace(/[\\-\\.\\+\\*]/g, '\\\\$&') + '\\\\s*\\\\=\\\\s*([^;]*).*$)|^.*$'), '$1')) || null;\r\n\r\n      if (value && ((value.substring(0, 1) === '{' && value.substring(value.length - 1, value.length) === '}') || (value.substring(0, 1) === '[' && value.substring(value.length - 1, value.length) === ']'))) {\r\n        try {\r\n          value = JSON.parse(value);\r\n        } catch (e) {\r\n          return value;\r\n        }\r\n      }\r\n      return value;\r\n    },\r\n    set: function (key, value, expires, path, domain, secure, sameSite, partitioned) {\r\n      if (!key) {\r\n        throw new Error('Cookie name is not found in the first argument.');\r\n      } else if (/^(?:expires|max\\-age|path|domain|secure|SameSite)$/i.test(key)) {\r\n        throw new Error('Cookie name illegality. Cannot be set to [\"expires\",\"max-age\",\"path\",\"domain\",\"secure\",\"SameSite\"]\\t current key name: ' + key);\r\n      }\r\n      // support json object\r\n      if (value && typeof value === 'object') {\r\n        value = JSON.stringify(value);\r\n      }\r\n      var _expires = '';\r\n      expires = expires === undefined ? defaultConfig.expires : expires;\r\n      if (expires && expires !== 0) {\r\n        switch (expires.constructor) {\r\n          case Number:\r\n            if (expires === Infinity || expires === -1) _expires = '; expires=Fri, 31 Dec 9999 23:59:59 GMT';\r\n            else _expires = '; max-age=' + expires;\r\n            break;\r\n          case String:\r\n            if (/^(?:\\d+(y|m|d|h|min|s))$/i.test(expires)) {\r\n              // get capture number group\r\n              var _expireTime = expires.replace(/^(\\d+)(?:y|m|d|h|min|s)$/i, '$1');\r\n              // get capture type group , to lower case\r\n              switch (expires.replace(/^(?:\\d+)(y|m|d|h|min|s)$/i, '$1').toLowerCase()) {\r\n                  // Frequency sorting\r\n                case 'm':\r\n                  _expires = '; max-age=' + +_expireTime * 2592000;\r\n                  break; // 60 * 60 * 24 * 30\r\n                case 'd':\r\n                  _expires = '; max-age=' + +_expireTime * 86400;\r\n                  break; // 60 * 60 * 24\r\n                case 'h':\r\n                  _expires = '; max-age=' + +_expireTime * 3600;\r\n                  break; // 60 * 60\r\n                case 'min':\r\n                  _expires = '; max-age=' + +_expireTime * 60;\r\n                  break; // 60\r\n                case 's':\r\n                  _expires = '; max-age=' + _expireTime;\r\n                  break;\r\n                case 'y':\r\n                  _expires = '; max-age=' + +_expireTime * 31104000;\r\n                  break; // 60 * 60 * 24 * 30 * 12\r\n                default:\r\n                  new Error('unknown exception of \"set operation\"');\r\n              }\r\n            } else {\r\n              _expires = '; expires=' + expires;\r\n            }\r\n            break;\r\n          case Date:\r\n            _expires = '; expires=' + expires.toUTCString();\r\n            break;\r\n        }\r\n      }\r\n      document.cookie =\r\n          encodeURIComponent(key) + '=' + encodeURIComponent(value) +\r\n          _expires +\r\n          (domain ? '; domain=' + domain : defaultConfig.domain) +\r\n          (path ? '; path=' + path : defaultConfig.path) +\r\n          (secure === undefined ? defaultConfig.secure : secure ? '; Secure' : '') +\r\n          (sameSite === undefined ? defaultConfig.sameSite : (sameSite ? '; SameSite=' + sameSite : '')) +\r\n          (partitioned === undefined ? defaultConfig.partitioned : partitioned ? '; Partitioned' : '');\r\n      return this;\r\n    },\r\n    remove: function (key, path, domain) {\r\n      if (!key || !this.isKey(key)) {\r\n        return false;\r\n      }\r\n      document.cookie = encodeURIComponent(key) +\r\n          '=; expires=Thu, 01 Jan 1970 00:00:00 GMT' +\r\n          (domain ? '; domain=' + domain : defaultConfig.domain) +\r\n          (path ? '; path=' + path : defaultConfig.path) +\r\n          '; SameSite=Lax';\r\n      return true;\r\n    },\r\n    isKey: function (key) {\r\n      return (new RegExp('(?:^|;\\\\s*)' + encodeURIComponent(key).replace(/[\\-\\.\\+\\*]/g, '\\\\$&') + '\\\\s*\\\\=')).test(document.cookie);\r\n    },\r\n    keys: function () {\r\n      if (!document.cookie) return [];\r\n      var _keys = document.cookie.replace(/((?:^|\\s*;)[^\\=]+)(?=;|$)|^\\s*|\\s*(?:\\=[^;]*)?(?:\\1|$)/g, '').split(/\\s*(?:\\=[^;]*)?;\\s*/);\r\n      for (var _index = 0; _index < _keys.length; _index++) {\r\n        _keys[_index] = decodeURIComponent(_keys[_index]);\r\n      }\r\n      return _keys;\r\n    }\r\n  };\r\n\r\n  if (typeof exports == 'object') {\r\n    module.exports = VueCookies;\r\n  } else if (typeof define == 'function' && define.amd) {\r\n    define([], function () {\r\n      return VueCookies;\r\n    });\r\n  } else if (window.Vue && window.Vue.use) {\r\n    Vue.use(VueCookies);\r\n  }\r\n  // vue-cookies can exist independently,no dependencies library\r\n  if (typeof window !== 'undefined') {\r\n    window.$cookies = VueCookies;\r\n  }\r\n\r\n})();\r\n","\n /*! \n  * portal-vue © Thorsten Lünborg, 2019 \n  * \n  * Version: 2.1.7\n  * \n  * LICENCE: MIT \n  * \n  * https://github.com/linusborg/portal-vue\n  * \n */\n\n'use strict';\n\nObject.defineProperty(exports, '__esModule', { value: true });\n\nfunction _interopDefault (ex) { return (ex && (typeof ex === 'object') && 'default' in ex) ? ex['default'] : ex; }\n\nvar Vue = _interopDefault(require('vue'));\n\nfunction _typeof(obj) {\n  if (typeof Symbol === \"function\" && typeof Symbol.iterator === \"symbol\") {\n    _typeof = function (obj) {\n      return typeof obj;\n    };\n  } else {\n    _typeof = function (obj) {\n      return obj && typeof Symbol === \"function\" && obj.constructor === Symbol && obj !== Symbol.prototype ? \"symbol\" : typeof obj;\n    };\n  }\n\n  return _typeof(obj);\n}\n\nfunction _toConsumableArray(arr) {\n  return _arrayWithoutHoles(arr) || _iterableToArray(arr) || _nonIterableSpread();\n}\n\nfunction _arrayWithoutHoles(arr) {\n  if (Array.isArray(arr)) {\n    for (var i = 0, arr2 = new Array(arr.length); i < arr.length; i++) arr2[i] = arr[i];\n\n    return arr2;\n  }\n}\n\nfunction _iterableToArray(iter) {\n  if (Symbol.iterator in Object(iter) || Object.prototype.toString.call(iter) === \"[object Arguments]\") return Array.from(iter);\n}\n\nfunction _nonIterableSpread() {\n  throw new TypeError(\"Invalid attempt to spread non-iterable instance\");\n}\n\nvar inBrowser = typeof window !== 'undefined';\nfunction freeze(item) {\n  if (Array.isArray(item) || _typeof(item) === 'object') {\n    return Object.freeze(item);\n  }\n\n  return item;\n}\nfunction combinePassengers(transports) {\n  var slotProps = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};\n  return transports.reduce(function (passengers, transport) {\n    var temp = transport.passengers[0];\n    var newPassengers = typeof temp === 'function' ? temp(slotProps) : transport.passengers;\n    return passengers.concat(newPassengers);\n  }, []);\n}\nfunction stableSort(array, compareFn) {\n  return array.map(function (v, idx) {\n    return [idx, v];\n  }).sort(function (a, b) {\n    return compareFn(a[1], b[1]) || a[0] - b[0];\n  }).map(function (c) {\n    return c[1];\n  });\n}\nfunction pick(obj, keys) {\n  return keys.reduce(function (acc, key) {\n    if (obj.hasOwnProperty(key)) {\n      acc[key] = obj[key];\n    }\n\n    return acc;\n  }, {});\n}\n\nvar transports = {};\nvar targets = {};\nvar sources = {};\nvar Wormhole = Vue.extend({\n  data: function data() {\n    return {\n      transports: transports,\n      targets: targets,\n      sources: sources,\n      trackInstances: inBrowser\n    };\n  },\n  methods: {\n    open: function open(transport) {\n      if (!inBrowser) return;\n      var to = transport.to,\n          from = transport.from,\n          passengers = transport.passengers,\n          _transport$order = transport.order,\n          order = _transport$order === void 0 ? Infinity : _transport$order;\n      if (!to || !from || !passengers) return;\n      var newTransport = {\n        to: to,\n        from: from,\n        passengers: freeze(passengers),\n        order: order\n      };\n      var keys = Object.keys(this.transports);\n\n      if (keys.indexOf(to) === -1) {\n        Vue.set(this.transports, to, []);\n      }\n\n      var currentIndex = this.$_getTransportIndex(newTransport); // Copying the array here so that the PortalTarget change event will actually contain two distinct arrays\n\n      var newTransports = this.transports[to].slice(0);\n\n      if (currentIndex === -1) {\n        newTransports.push(newTransport);\n      } else {\n        newTransports[currentIndex] = newTransport;\n      }\n\n      this.transports[to] = stableSort(newTransports, function (a, b) {\n        return a.order - b.order;\n      });\n    },\n    close: function close(transport) {\n      var force = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : false;\n      var to = transport.to,\n          from = transport.from;\n      if (!to || !from && force === false) return;\n\n      if (!this.transports[to]) {\n        return;\n      }\n\n      if (force) {\n        this.transports[to] = [];\n      } else {\n        var index = this.$_getTransportIndex(transport);\n\n        if (index >= 0) {\n          // Copying the array here so that the PortalTarget change event will actually contain two distinct arrays\n          var newTransports = this.transports[to].slice(0);\n          newTransports.splice(index, 1);\n          this.transports[to] = newTransports;\n        }\n      }\n    },\n    registerTarget: function registerTarget(target, vm, force) {\n      if (!inBrowser) return;\n\n      if (this.trackInstances && !force && this.targets[target]) {\n        console.warn(\"[portal-vue]: Target \".concat(target, \" already exists\"));\n      }\n\n      this.$set(this.targets, target, Object.freeze([vm]));\n    },\n    unregisterTarget: function unregisterTarget(target) {\n      this.$delete(this.targets, target);\n    },\n    registerSource: function registerSource(source, vm, force) {\n      if (!inBrowser) return;\n\n      if (this.trackInstances && !force && this.sources[source]) {\n        console.warn(\"[portal-vue]: source \".concat(source, \" already exists\"));\n      }\n\n      this.$set(this.sources, source, Object.freeze([vm]));\n    },\n    unregisterSource: function unregisterSource(source) {\n      this.$delete(this.sources, source);\n    },\n    hasTarget: function hasTarget(to) {\n      return !!(this.targets[to] && this.targets[to][0]);\n    },\n    hasSource: function hasSource(to) {\n      return !!(this.sources[to] && this.sources[to][0]);\n    },\n    hasContentFor: function hasContentFor(to) {\n      return !!this.transports[to] && !!this.transports[to].length;\n    },\n    // Internal\n    $_getTransportIndex: function $_getTransportIndex(_ref) {\n      var to = _ref.to,\n          from = _ref.from;\n\n      for (var i in this.transports[to]) {\n        if (this.transports[to][i].from === from) {\n          return +i;\n        }\n      }\n\n      return -1;\n    }\n  }\n});\nvar wormhole = new Wormhole(transports);\n\nvar _id = 1;\nvar Portal = Vue.extend({\n  name: 'portal',\n  props: {\n    disabled: {\n      type: Boolean\n    },\n    name: {\n      type: String,\n      default: function _default() {\n        return String(_id++);\n      }\n    },\n    order: {\n      type: Number,\n      default: 0\n    },\n    slim: {\n      type: Boolean\n    },\n    slotProps: {\n      type: Object,\n      default: function _default() {\n        return {};\n      }\n    },\n    tag: {\n      type: String,\n      default: 'DIV'\n    },\n    to: {\n      type: String,\n      default: function _default() {\n        return String(Math.round(Math.random() * 10000000));\n      }\n    }\n  },\n  created: function created() {\n    var _this = this;\n\n    this.$nextTick(function () {\n      wormhole.registerSource(_this.name, _this);\n    });\n  },\n  mounted: function mounted() {\n    if (!this.disabled) {\n      this.sendUpdate();\n    }\n  },\n  updated: function updated() {\n    if (this.disabled) {\n      this.clear();\n    } else {\n      this.sendUpdate();\n    }\n  },\n  beforeDestroy: function beforeDestroy() {\n    wormhole.unregisterSource(this.name);\n    this.clear();\n  },\n  watch: {\n    to: function to(newValue, oldValue) {\n      oldValue && oldValue !== newValue && this.clear(oldValue);\n      this.sendUpdate();\n    }\n  },\n  methods: {\n    clear: function clear(target) {\n      var closer = {\n        from: this.name,\n        to: target || this.to\n      };\n      wormhole.close(closer);\n    },\n    normalizeSlots: function normalizeSlots() {\n      return this.$scopedSlots.default ? [this.$scopedSlots.default] : this.$slots.default;\n    },\n    normalizeOwnChildren: function normalizeOwnChildren(children) {\n      return typeof children === 'function' ? children(this.slotProps) : children;\n    },\n    sendUpdate: function sendUpdate() {\n      var slotContent = this.normalizeSlots();\n\n      if (slotContent) {\n        var transport = {\n          from: this.name,\n          to: this.to,\n          passengers: _toConsumableArray(slotContent),\n          order: this.order\n        };\n        wormhole.open(transport);\n      } else {\n        this.clear();\n      }\n    }\n  },\n  render: function render(h) {\n    var children = this.$slots.default || this.$scopedSlots.default || [];\n    var Tag = this.tag;\n\n    if (children && this.disabled) {\n      return children.length <= 1 && this.slim ? this.normalizeOwnChildren(children)[0] : h(Tag, [this.normalizeOwnChildren(children)]);\n    } else {\n      return this.slim ? h() : h(Tag, {\n        class: {\n          'v-portal': true\n        },\n        style: {\n          display: 'none'\n        },\n        key: 'v-portal-placeholder'\n      });\n    }\n  }\n});\n\nvar PortalTarget = Vue.extend({\n  name: 'portalTarget',\n  props: {\n    multiple: {\n      type: Boolean,\n      default: false\n    },\n    name: {\n      type: String,\n      required: true\n    },\n    slim: {\n      type: Boolean,\n      default: false\n    },\n    slotProps: {\n      type: Object,\n      default: function _default() {\n        return {};\n      }\n    },\n    tag: {\n      type: String,\n      default: 'div'\n    },\n    transition: {\n      type: [String, Object, Function]\n    }\n  },\n  data: function data() {\n    return {\n      transports: wormhole.transports,\n      firstRender: true\n    };\n  },\n  created: function created() {\n    var _this = this;\n\n    this.$nextTick(function () {\n      wormhole.registerTarget(_this.name, _this);\n    });\n  },\n  watch: {\n    ownTransports: function ownTransports() {\n      this.$emit('change', this.children().length > 0);\n    },\n    name: function name(newVal, oldVal) {\n      /**\r\n       * TODO\r\n       * This should warn as well ...\r\n       */\n      wormhole.unregisterTarget(oldVal);\n      wormhole.registerTarget(newVal, this);\n    }\n  },\n  mounted: function mounted() {\n    var _this2 = this;\n\n    if (this.transition) {\n      this.$nextTick(function () {\n        // only when we have a transition, because it causes a re-render\n        _this2.firstRender = false;\n      });\n    }\n  },\n  beforeDestroy: function beforeDestroy() {\n    wormhole.unregisterTarget(this.name);\n  },\n  computed: {\n    ownTransports: function ownTransports() {\n      var transports = this.transports[this.name] || [];\n\n      if (this.multiple) {\n        return transports;\n      }\n\n      return transports.length === 0 ? [] : [transports[transports.length - 1]];\n    },\n    passengers: function passengers() {\n      return combinePassengers(this.ownTransports, this.slotProps);\n    }\n  },\n  methods: {\n    // can't be a computed prop because it has to \"react\" to $slot changes.\n    children: function children() {\n      return this.passengers.length !== 0 ? this.passengers : this.$scopedSlots.default ? this.$scopedSlots.default(this.slotProps) : this.$slots.default || [];\n    },\n    // can't be a computed prop because it has to \"react\" to this.children().\n    noWrapper: function noWrapper() {\n      var noWrapper = this.slim && !this.transition;\n\n      if (noWrapper && this.children().length > 1) {\n        console.warn('[portal-vue]: PortalTarget with `slim` option received more than one child element.');\n      }\n\n      return noWrapper;\n    }\n  },\n  render: function render(h) {\n    var noWrapper = this.noWrapper();\n    var children = this.children();\n    var Tag = this.transition || this.tag;\n    return noWrapper ? children[0] : this.slim && !Tag ? h() : h(Tag, {\n      props: {\n        // if we have a transition component, pass the tag if it exists\n        tag: this.transition && this.tag ? this.tag : undefined\n      },\n      class: {\n        'vue-portal-target': true\n      }\n    }, children);\n  }\n});\n\nvar _id$1 = 0;\nvar portalProps = ['disabled', 'name', 'order', 'slim', 'slotProps', 'tag', 'to'];\nvar targetProps = ['multiple', 'transition'];\nvar MountingPortal = Vue.extend({\n  name: 'MountingPortal',\n  inheritAttrs: false,\n  props: {\n    append: {\n      type: [Boolean, String]\n    },\n    bail: {\n      type: Boolean\n    },\n    mountTo: {\n      type: String,\n      required: true\n    },\n    // Portal\n    disabled: {\n      type: Boolean\n    },\n    // name for the portal\n    name: {\n      type: String,\n      default: function _default() {\n        return 'mounted_' + String(_id$1++);\n      }\n    },\n    order: {\n      type: Number,\n      default: 0\n    },\n    slim: {\n      type: Boolean\n    },\n    slotProps: {\n      type: Object,\n      default: function _default() {\n        return {};\n      }\n    },\n    tag: {\n      type: String,\n      default: 'DIV'\n    },\n    // name for the target\n    to: {\n      type: String,\n      default: function _default() {\n        return String(Math.round(Math.random() * 10000000));\n      }\n    },\n    // Target\n    multiple: {\n      type: Boolean,\n      default: false\n    },\n    targetSlim: {\n      type: Boolean\n    },\n    targetSlotProps: {\n      type: Object,\n      default: function _default() {\n        return {};\n      }\n    },\n    targetTag: {\n      type: String,\n      default: 'div'\n    },\n    transition: {\n      type: [String, Object, Function]\n    }\n  },\n  created: function created() {\n    if (typeof document === 'undefined') return;\n    var el = document.querySelector(this.mountTo);\n\n    if (!el) {\n      console.error(\"[portal-vue]: Mount Point '\".concat(this.mountTo, \"' not found in document\"));\n      return;\n    }\n\n    var props = this.$props; // Target already exists\n\n    if (wormhole.targets[props.name]) {\n      if (props.bail) {\n        console.warn(\"[portal-vue]: Target \".concat(props.name, \" is already mounted.\\n        Aborting because 'bail: true' is set\"));\n      } else {\n        this.portalTarget = wormhole.targets[props.name];\n      }\n\n      return;\n    }\n\n    var append = props.append;\n\n    if (append) {\n      var type = typeof append === 'string' ? append : 'DIV';\n      var mountEl = document.createElement(type);\n      el.appendChild(mountEl);\n      el = mountEl;\n    } // get props for target from $props\n    // we have to rename a few of them\n\n\n    var _props = pick(this.$props, targetProps);\n\n    _props.slim = this.targetSlim;\n    _props.tag = this.targetTag;\n    _props.slotProps = this.targetSlotProps;\n    _props.name = this.to;\n    this.portalTarget = new PortalTarget({\n      el: el,\n      parent: this.$parent || this,\n      propsData: _props\n    });\n  },\n  beforeDestroy: function beforeDestroy() {\n    var target = this.portalTarget;\n\n    if (this.append) {\n      var el = target.$el;\n      el.parentNode.removeChild(el);\n    }\n\n    target.$destroy();\n  },\n  render: function render(h) {\n    if (!this.portalTarget) {\n      console.warn(\"[portal-vue] Target wasn't mounted\");\n      return h();\n    } // if there's no \"manual\" scoped slot, so we create a <Portal> ourselves\n\n\n    if (!this.$scopedSlots.manual) {\n      var props = pick(this.$props, portalProps);\n      return h(Portal, {\n        props: props,\n        attrs: this.$attrs,\n        on: this.$listeners,\n        scopedSlots: this.$scopedSlots\n      }, this.$slots.default);\n    } // else, we render the scoped slot\n\n\n    var content = this.$scopedSlots.manual({\n      to: this.to\n    }); // if user used <template> for the scoped slot\n    // content will be an array\n\n    if (Array.isArray(content)) {\n      content = content[0];\n    }\n\n    if (!content) return h();\n    return content;\n  }\n});\n\nfunction install(Vue$$1) {\n  var options = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};\n  Vue$$1.component(options.portalName || 'Portal', Portal);\n  Vue$$1.component(options.portalTargetName || 'PortalTarget', PortalTarget);\n  Vue$$1.component(options.MountingPortalName || 'MountingPortal', MountingPortal);\n}\n\nvar index = {\n  install: install\n};\n\nexports.default = index;\nexports.Portal = Portal;\nexports.PortalTarget = PortalTarget;\nexports.MountingPortal = MountingPortal;\nexports.Wormhole = wormhole;\n//# sourceMappingURL=portal-vue.common.js.map\n","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./HomePanel.vue?vue&type=style&index=0&id=f4ea8d42&prod&lang=scss\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"08ae99d4\", content, shadowRoot)\n};","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".notification-containter[data-v-b8f49712]{width:288px;height:auto}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".bx--dropdown[data-v-073aee35]{border-bottom:none}.pintura-sidebar[data-v-073aee35]{display:flex;background:#fff;height:100%;flex-direction:column;position:relative;box-shadow:0 2px 8px 0 rgba(0,0,0,.1)}.sidebar__section[data-v-073aee35]{background:transparent}.pintura-sidebar .cv-header.bx--header[data-v-073aee35]{z-index:800}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","export const lineWidth = 0.3;\r\nexport const lineWidthV2 = 0.25;\r\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".home-panel__product{padding:12px 12px 0 12px!important}.home-panel .oval{display:flex!important;width:16px!important;height:16px!important;min-width:16px!important;min-height:16px!important;border-radius:50%!important;margin:0 7px!important}.home-panel__product p,.home-panel__product span{font-size:14px;line-height:1.6}.home-panel__product--description{font-size:12px;color:#525252;line-height:16px}.home-panel__section--shape{display:flex;align-items:center;justify-content:space-between;background:#f4f4f4;color:#161616;font-size:14px;margin-top:10px;margin-right:12px;padding:7px 16px;font-weight:400;word-break:break-word}.home-panel__section--shape-remove{cursor:pointer;height:16px}.home-panel__colors{border-bottom:1px solid #e0e0e0;min-width:260px}.home-panel .span{font-size:14px;color:#161616;font-weight:700}.home-panel__label{font-size:14px;font-weight:400;color:#525252;margin-top:10px}.color-section__remove .bx--btn__icon{width:20px!important;height:16px!important}.color-section .bx--btn--ghost .bx--btn--sm{padding:2px;width:40px;height:40px}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","import { PipelineNotificationType } from '@/components/Notifiers/typings/PipelineNotificationType';\r\nimport { getSmallDetailsValidatorColor } from '@/components/SmallDetails/utils/helper';\r\nimport { ProductPrintPositionBoxModel } from '@/typings';\r\nimport {\r\n  constructArtworkValidationPipeline,\r\n  maxNumberOfColoursValidator,\r\n  resolutionValidator,\r\n  ValidationResult,\r\n  ValidatorResult,\r\n} from '@/validators';\r\nimport { AnnotationShape } from '@/web-components/import-wizard/typings';\r\nimport { defineStore } from 'pinia';\r\nimport { useStore as useProductStore } from './product';\r\nimport { useStore as useShapeStore } from './shape';\r\nimport { LogoShape } from '@/web-components/import-wizard/typings/pintura';\r\nimport { NotificationSnapshot } from '@/typings/history';\r\nimport { isShapeColorChanged } from '@/utils/personalizationHelper';\r\n\r\nexport const useStore = defineStore({\r\n  id: 'notification',\r\n\r\n  state: () => {\r\n    return {\r\n      hasRedNotificationOnAnyPosition: false,\r\n      notificationsForBell: [] as PipelineNotificationType[],\r\n      allValidatorPipelineResults: [] as ValidatorResult[],\r\n    };\r\n  },\r\n  getters: {\r\n    redWarrnings: (state): boolean => {\r\n      const hasRedErrors = state.notificationsForBell.some(\r\n        (n) => n.validatorColor === 'Red'\r\n      );\r\n      return hasRedErrors;\r\n    },\r\n  },\r\n  actions: {\r\n    resetAllValidatorPipelineResults(positionId: string) {\r\n      this.allValidatorPipelineResults =\r\n        this.allValidatorPipelineResults.filter((v) => {\r\n          return v.validationResult.find(\r\n            (vr: any) => vr.printPositionId !== positionId\r\n          );\r\n        });\r\n\r\n      this.resetNotificationsForBell(positionId);\r\n    },\r\n    findRedNotifications() {\r\n      this.hasRedNotificationOnAnyPosition = this.notificationsForBell.some(\r\n        (notification) => notification.validatorColor === 'Red'\r\n      );\r\n    },\r\n    resetNotificationsForBell(printPositionId: string) {\r\n      // only reset notifications for the current position\r\n      this.notificationsForBell = this.notificationsForBell.filter(\r\n        (n) => n.printPositionId !== printPositionId\r\n      );\r\n    },\r\n    resetCommercialRemarksNotificationsForBell(printPositionId: string) {\r\n      // only reset notifications for the current position\r\n      this.notificationsForBell = this.notificationsForBell.filter(\r\n        (n) =>\r\n          n.printPositionId !== printPositionId ||\r\n          (n.printPositionId === printPositionId &&\r\n            n.validatorName !== 'commercialRemark')\r\n      );\r\n    },\r\n    resetNotificationsForOneShape(relevantShapeId: string) {\r\n      this.notificationsForBell = this.notificationsForBell.filter(\r\n        (n) => n.payloadId !== relevantShapeId\r\n      );\r\n      this.allValidatorPipelineResults =\r\n        this.allValidatorPipelineResults.filter(\r\n          (n) => n.payload.id !== relevantShapeId\r\n        );\r\n    },\r\n    setAllValidatorPipelineResults(results: ValidatorResult[]) {\r\n      this.allValidatorPipelineResults =\r\n        this.allValidatorPipelineResults.concat(results);\r\n      this.setNotificationsForBell();\r\n    },\r\n    setCommercialRemarkNotification() {\r\n      const productStore = useProductStore();\r\n\r\n      const activePosition = productStore.activePosition;\r\n      const printPostion = productStore.data.productPrintPositions?.find(\r\n        (p) => p.id === activePosition.id\r\n      );\r\n\r\n      const technique = printPostion?.printTechniques.find((technique) => {\r\n        return technique.id === productStore.selectedPrintPosition.techniqueId;\r\n      });\r\n      const commercialRemarks = technique?.commercialRemarksCodes\r\n        ? [\r\n            ...new Set(\r\n              technique?.commercialRemarksCodes\r\n                .concat(technique?.printTechnique.group.commercialRemarksCodes)\r\n                .filter((value) => value !== null)\r\n            ),\r\n          ]\r\n        : technique?.printTechnique.group.commercialRemarksCodes;\r\n\r\n      if (commercialRemarks && commercialRemarks.length > 0) {\r\n        commercialRemarks.forEach((remark: string) => {\r\n          if (remark.trim() === 'ProofComment37' && !isShapeColorChanged()) {\r\n            return;\r\n          }\r\n          if (\r\n            productStore.activePosition.id &&\r\n            !this.notificationsForBell.find(\r\n              (notification) =>\r\n                notification.printPositionId === activePosition.id &&\r\n                notification.message === remark.trim()\r\n            )\r\n          ) {\r\n            this.notificationsForBell = [\r\n              ...this.notificationsForBell,\r\n              {\r\n                validatorColor: 'Orange',\r\n                validatorName: 'commercialRemark',\r\n                printPositionId: activePosition.id || '',\r\n                printPosition: activePosition.name || '',\r\n                message: remark.trim(),\r\n                payloadId: activePosition.id || '',\r\n                fileName: '',\r\n              },\r\n            ];\r\n          }\r\n        });\r\n      }\r\n\r\n      this.$patch((state) => {\r\n        state.notificationsForBell = this.notificationsForBell;\r\n      });\r\n    },\r\n\r\n    setNotificationsForBell() {\r\n      const productStore = useProductStore();\r\n\r\n      const remarks = this.notificationsForBell.filter(\r\n        (not) => not.validatorName === 'commercialRemark'\r\n      );\r\n\r\n      this.notificationsForBell = [];\r\n      this.allValidatorPipelineResults.forEach((result) => {\r\n        result.validationResult.forEach((vr: any) => {\r\n          if (\r\n            productStore.printPositions.find((p) => p.id === vr.printPositionId)\r\n          ) {\r\n            if (\r\n              vr.validatorName === 'smallDetails' &&\r\n              !productStore.isSmallDetailsTechnique()\r\n            )\r\n              return;\r\n            this.notificationsForBell.push({\r\n              validatorColor: vr.validatorColor,\r\n              validatorName: vr.validatorName,\r\n              message: vr.message,\r\n              payloadId: result.payload.id,\r\n              fileName: result.payload.fileName || result.payload.text,\r\n              printPosition:\r\n                productStore.printPositions.find(\r\n                  (p) => p.id === vr.printPositionId\r\n                )?.name ?? '',\r\n              printPositionId: vr.printPositionId,\r\n            });\r\n          }\r\n        });\r\n      });\r\n\r\n      this.notificationsForBell = [...this.notificationsForBell, ...remarks];\r\n\r\n      this.$patch((state) => {\r\n        state.notificationsForBell = this.notificationsForBell;\r\n      });\r\n\r\n      this.setCommercialRemarkNotification();\r\n      this.revalidateEmptyPrintPositions();\r\n    },\r\n    revalidateUnavailablePrintPositions() {\r\n      const productStore = useProductStore();\r\n      const shapeStore = useShapeStore();\r\n\r\n      // This resets all the validator results\r\n      this.allValidatorPipelineResults = [];\r\n      this.notificationsForBell = [];\r\n\r\n      const allResults = [] as ValidatorResult[];\r\n      productStore.unavailablePrintPositions.forEach((up) => {\r\n        const activePrintPosition =\r\n          productStore.data.productPrintPositions.find(\r\n            (pp) => pp.id === up.positionId\r\n          );\r\n\r\n        if (activePrintPosition) {\r\n          const activePrintTechnique = activePrintPosition.printTechniques.find(\r\n            (t) => t.id === up.technique.id\r\n          );\r\n\r\n          if (activePrintTechnique) {\r\n            const selectedPrintPosition = {\r\n              ...activePrintPosition,\r\n              techniqueId: activePrintTechnique.id,\r\n              techniqueName: activePrintTechnique.printTechnique.name,\r\n              maximumColours: activePrintTechnique.maximumColours,\r\n            } as ProductPrintPositionBoxModel;\r\n\r\n            const relevantShapeMap = shapeStore.positionShapeMap.filter(\r\n              (p) => p.id === selectedPrintPosition.id\r\n            );\r\n\r\n            const relevantShapes = shapeStore.shapes.filter((a) => {\r\n              return relevantShapeMap.find((s) => s.logoId === a.id);\r\n            });\r\n\r\n            for (const shape of relevantShapes) {\r\n              if (shape && shape.kind === 'Logo') {\r\n                // Constructing the validation pipeline\r\n                const pipeline = constructArtworkValidationPipeline(\r\n                  productStore.data,\r\n                  [selectedPrintPosition],\r\n                  relevantShapes,\r\n                  shape,\r\n                  false\r\n                );\r\n\r\n                // Invoking the validation pipeline\r\n                const pipelineResult = pipeline({\r\n                  payload: shape,\r\n                  validationResult: [],\r\n                });\r\n\r\n                // Add the new validation results for the specific artwork to the array\r\n                allResults.push(pipelineResult);\r\n              }\r\n            }\r\n\r\n            if (relevantShapes.length) {\r\n              const validator = maxNumberOfColoursValidator(\r\n                relevantShapes,\r\n                selectedPrintPosition.maximumColours ?? 0,\r\n                selectedPrintPosition.id\r\n              );\r\n\r\n              // Execute the max number of colours validator\r\n              const result = validator({\r\n                payload: { id: selectedPrintPosition.id },\r\n                validationResult: [] as ValidationResult[],\r\n              });\r\n\r\n              allResults.push(result);\r\n            }\r\n          }\r\n        }\r\n      });\r\n      this.setAllValidatorPipelineResults(allResults);\r\n    },\r\n    revalidateColorsOnly() {\r\n      const productStore = useProductStore();\r\n      const shapeStore = useShapeStore();\r\n\r\n      const relevantShapeMap = shapeStore.positionShapeMap.filter(\r\n        (p) => p.id === productStore.selectedPrintPosition.id\r\n      );\r\n      const relevantShapes = shapeStore.shapes.filter((s) => {\r\n        return relevantShapeMap.find((sm) => sm.logoId === s.id);\r\n      });\r\n\r\n      // Reset all max number of colours validator results for the current print position\r\n      this.allValidatorPipelineResults.forEach((result) => {\r\n        result.validationResult = result.validationResult.filter((v: any) => {\r\n          return (\r\n            v.printPositionId !== productStore.selectedPrintPosition.id ||\r\n            (v.printPositionId === productStore.selectedPrintPosition.id &&\r\n              v.validatorName !== 'maxNumberOfColoursValidator')\r\n          );\r\n        });\r\n      });\r\n\r\n      this.allValidatorPipelineResults =\r\n        this.allValidatorPipelineResults.filter((result) => {\r\n          return result.validationResult.length !== 0;\r\n        });\r\n\r\n      this.resetNotificationsForBell(productStore.selectedPrintPosition.id);\r\n\r\n      const results = [];\r\n\r\n      /* Execute the max number of colours validator only once for all shapes\r\n                payload is not needed */\r\n      if (relevantShapes.length > 0) {\r\n        const validator = maxNumberOfColoursValidator(\r\n          relevantShapes,\r\n          productStore.selectedPrintPosition.maximumColours ?? 0,\r\n          productStore.selectedPrintPosition.id\r\n        );\r\n\r\n        const result = validator({\r\n          payload: { id: productStore.selectedPrintPosition.id },\r\n          validationResult: [] as ValidationResult[],\r\n        });\r\n        results.push(result);\r\n      }\r\n      this.setAllValidatorPipelineResults(results);\r\n    },\r\n    revalidateEmptyPrintPositions() {\r\n      const productStore = useProductStore();\r\n      const emptyPrintPositions = productStore.unavailablePrintPositions.filter(\r\n        (p) => {\r\n          const shapeStore = useShapeStore();\r\n          const relevantShapeIds = shapeStore.positionShapeMap.filter(\r\n            (psm) => psm.id === p.positionId\r\n          );\r\n\r\n          return relevantShapeIds.length === 0;\r\n        }\r\n      );\r\n\r\n      if (emptyPrintPositions.length > 0) {\r\n        emptyPrintPositions.forEach((p) => {\r\n          if (\r\n            !this.notificationsForBell.some(\r\n              (n) =>\r\n                n.printPositionId === p.positionId &&\r\n                n.validatorName === 'emptyPrintPosition'\r\n            ) &&\r\n            p.positionId\r\n          ) {\r\n            this.notificationsForBell.push({\r\n              validatorColor: 'Red',\r\n              validatorName: 'emptyPrintPosition',\r\n              payloadId: p.positionId,\r\n              fileName: '',\r\n              printPositionId: p.positionId,\r\n              printPosition: p.positionName,\r\n              message: '',\r\n            });\r\n          }\r\n        });\r\n      }\r\n    },\r\n\r\n    updateNotificationStateFromSnapshot(snapshot: NotificationSnapshot) {\r\n      this.$patch((state) => {\r\n        if (snapshot !== undefined) {\r\n          state.notificationsForBell = snapshot.notificationsForBell;\r\n          state.allValidatorPipelineResults =\r\n            snapshot.allValidatorPipelineResults;\r\n        }\r\n      });\r\n    },\r\n\r\n    updateSmallDetailsNotifications() {\r\n      const shapeStore = useShapeStore();\r\n      shapeStore.shapes.map((shape) => {\r\n        if (\r\n          shape.smallDetailsResult &&\r\n          shape.smallDetailsResult.status !== 'NoCheck'\r\n        ) {\r\n          const validationResult =\r\n            this.allValidatorPipelineResults.find(\r\n              (x) => x.payload.id === shape.id\r\n            )?.validationResult ?? [];\r\n\r\n          const smallDetails = validationResult.find(\r\n            (x: {\r\n              validatorName: string;\r\n              printPositionId: string;\r\n              validatorColor: string;\r\n            }) => x.validatorName === 'smallDetails'\r\n          );\r\n          if (smallDetails) {\r\n            smallDetails.validatorColor = getSmallDetailsValidatorColor(\r\n              shape.smallDetailsResult.status\r\n            );\r\n          } else {\r\n            const positionId = shapeStore.positionShapeMap.find(\r\n              (x) => x.logoId === shape.id\r\n            )?.id;\r\n            const smallDetailsValidator = {\r\n              printPositionId: positionId,\r\n              validatorName: 'smallDetails',\r\n              validatorColor: getSmallDetailsValidatorColor(\r\n                shape.smallDetailsResult.status\r\n              ),\r\n            };\r\n            this.allValidatorPipelineResults.push({\r\n              payload: shape,\r\n              validationResult: [...validationResult, smallDetailsValidator],\r\n            });\r\n          }\r\n        }\r\n      });\r\n\r\n      this.setNotificationsForBell();\r\n    },\r\n\r\n    initializeSmallDetailsNotifications() {\r\n      const shapeStore = useShapeStore();\r\n\r\n      shapeStore.shapes.map((shape) => {\r\n        if (\r\n          shape.smallDetailsResult &&\r\n          shape.smallDetailsResult.status !== 'NoCheck'\r\n        ) {\r\n          const shapeValidationIdx = this.allValidatorPipelineResults.findIndex(\r\n            (x) => x.payload.id === shape.id\r\n          );\r\n\r\n          const positionId = shapeStore.positionShapeMap.find(\r\n            (x) => x.logoId === shape.id\r\n          )?.id;\r\n          const smallDetailsValidator = {\r\n            printPositionId: positionId,\r\n            validatorName: 'smallDetails',\r\n            validatorColor: getSmallDetailsValidatorColor(\r\n              shape.smallDetailsResult.status\r\n            ),\r\n          };\r\n\r\n          if (shapeValidationIdx !== -1) {\r\n            this.allValidatorPipelineResults\r\n              .find((x) => x.payload.id === shape.id)\r\n              ?.validationResult.push(smallDetailsValidator);\r\n          } else {\r\n            this.allValidatorPipelineResults.push({\r\n              payload: shape,\r\n              validationResult: [smallDetailsValidator],\r\n            });\r\n          }\r\n        }\r\n      });\r\n      this.setNotificationsForBell();\r\n    },\r\n\r\n    revalidateResolutionOnly(\r\n      relevantShape: AnnotationShape,\r\n      validatorConfiguration: string\r\n    ) {\r\n      const productStore = useProductStore();\r\n\r\n      const validator = resolutionValidator(\r\n        validatorConfiguration,\r\n        relevantShape as LogoShape,\r\n        productStore.selectedPrintPosition.id\r\n      );\r\n\r\n      const resultValidator = validator({\r\n        payload: relevantShape,\r\n        validationResult: [] as ValidationResult[],\r\n      });\r\n\r\n      const targetIdx = this.allValidatorPipelineResults.findIndex(\r\n        (v) =>\r\n          v.payload.id === relevantShape.id &&\r\n          v.validationResult.findIndex(\r\n            (r: any) => r.validatorName === 'resolutionValidator'\r\n          ) !== -1\r\n      );\r\n      if (targetIdx !== -1) {\r\n        const resolutionValIdx = this.allValidatorPipelineResults[\r\n          targetIdx\r\n        ].validationResult.findIndex(\r\n          (r: any) => r.validatorName === 'resolutionValidator'\r\n        );\r\n\r\n        this.allValidatorPipelineResults[targetIdx].validationResult.splice(\r\n          resolutionValIdx,\r\n          1,\r\n          resultValidator.validationResult[0]\r\n        );\r\n\r\n        this.resetNotificationsForBell(productStore.selectedPrintPosition.id);\r\n        this.setNotificationsForBell();\r\n      }\r\n    },\r\n  },\r\n});\r\n","import { calculatePrintArea } from '.';\r\nimport { useStore as useColorManagementStore } from '@/stores/colorsManagement';\r\nimport { useStore as useShapeStore } from '@/stores/shape';\r\nimport { useStore as useProductStore } from '@/stores/product';\r\nimport { useStore as useColorManagementStoreV2 } from '@/stores/v2/colorsManagement';\r\nimport { useStore as useShapeStoreV2 } from '@/stores/v2/shape';\r\nimport { useStore as useProductStoreV2 } from '@/stores/v2/product';\r\nimport { PrintTechnique } from '@midocean/webapps-shared-domain';\r\n\r\nexport type PriceParamsEvent = {\r\n  printPositionSAPCode: string;\r\n  printTechniqueSAPCode: string;\r\n  printTechniqueSAPRangeCode: string;\r\n  numberOfColors: number;\r\n  width: number;\r\n  height: number;\r\n};\r\n\r\nexport const generateEventPayload = (): PriceParamsEvent[] => {\r\n  const colorManagementStore = useColorManagementStore();\r\n  const shapeStore = useShapeStore();\r\n  const productStore = useProductStore();\r\n\r\n  return productStore.unavailablePrintPositions.map((p) => {\r\n    const printPosition = productStore.data.productPrintPositions.find(\r\n      (pp) => pp.id === p.positionId\r\n    );\r\n    const printTechnique = printPosition?.printTechniques.find(\r\n      (t) => t.id === p.technique.id\r\n    ) as PrintTechnique;\r\n\r\n    const positions = shapeStore.positionShapeMap.filter((position: any) => {\r\n      return position.id === p.positionId;\r\n    });\r\n\r\n    const { width, height } = calculatePrintArea(\r\n      printPosition?.originalImageWebDpi || 300,\r\n      positions,\r\n      shapeStore.shapes\r\n    );\r\n\r\n    const numberOfColours =\r\n      colorManagementStore.getNumberOfColoursByPrintPositionId(p.positionId);\r\n\r\n    const eventPayload = {\r\n      printPositionSAPCode: p.positionName,\r\n      printTechniqueSAPCode: printTechnique?.printTechnique.code,\r\n      printTechniqueSAPRangeCode: determineRangeSAPCode(\r\n        Math.round(width),\r\n        Math.round(height),\r\n        printTechnique\r\n      ),\r\n      numberOfColors: numberOfColours,\r\n      width: width,\r\n      height: height,\r\n    };\r\n    return eventPayload;\r\n  });\r\n};\r\n\r\nexport const generateEventPayloadV2 = (): PriceParamsEvent[] => {\r\n  const colorManagementStore = useColorManagementStoreV2();\r\n  const shapeStore = useShapeStoreV2();\r\n  const productStore = useProductStoreV2();\r\n\r\n  return productStore.unavailablePrintPositions.map((p) => {\r\n    const printPosition = productStore.data.productPrintPositions.find(\r\n      (pp) => pp.id === p.positionId\r\n    );\r\n    const printTechnique = printPosition?.printTechniques.find(\r\n      (t) => t.id === p.technique.id\r\n    ) as PrintTechnique;\r\n\r\n    const positions = shapeStore.positionShapeMap.filter((position: any) => {\r\n      return position.id === p.positionId;\r\n    });\r\n\r\n    const { width, height } = calculatePrintArea(\r\n      printPosition?.originalImageWebDpi || 300,\r\n      positions,\r\n      shapeStore.shapes\r\n    );\r\n\r\n    const numberOfColours =\r\n      colorManagementStore.getNumberOfColoursByPrintPositionId(p.positionId);\r\n\r\n    const eventPayload = {\r\n      printPositionSAPCode: p.positionName,\r\n      printTechniqueSAPCode: printTechnique?.printTechnique.code,\r\n      printTechniqueSAPRangeCode: determineRangeSAPCode(\r\n        Math.round(width),\r\n        Math.round(height),\r\n        printTechnique\r\n      ),\r\n      numberOfColors: numberOfColours,\r\n      width: width,\r\n      height: height,\r\n    };\r\n    return eventPayload;\r\n  });\r\n};\r\n\r\nexport const determineRangeSAPCode = (\r\n  printAreaWidth: number,\r\n  printAreaHeight: number,\r\n  printTechnique: PrintTechnique\r\n): string => {\r\n  const rangeComparisonValueInCm2 = printAreaWidth * printAreaHeight * 0.01;\r\n\r\n  if (printTechnique?.printTechnique?.ranges.length === 0) {\r\n    return printTechnique.printTechnique.code;\r\n  }\r\n\r\n  const chosenRange = printTechnique?.printTechnique?.ranges?.find((r) => {\r\n    return (\r\n      rangeComparisonValueInCm2 >= r.minRangeCm2 &&\r\n      rangeComparisonValueInCm2 <= r.maxRangeCm2\r\n    );\r\n  });\r\n\r\n  return chosenRange === undefined ||\r\n    (chosenRange.minRangeCm2 === 0 && chosenRange.maxRangeCm2 === 0)\r\n    ? printTechnique?.printTechnique?.code\r\n    : chosenRange.code;\r\n};\r\n","export * from \"-!../../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./SwitchColor.vue?vue&type=style&index=0&id=1abaeb15&prod&lang=scss\"","'use strict';\nvar global = require('../internals/global');\nvar userAgent = require('../internals/engine-user-agent');\n\nvar process = global.process;\nvar Deno = global.Deno;\nvar versions = process && process.versions || Deno && Deno.version;\nvar v8 = versions && versions.v8;\nvar match, version;\n\nif (v8) {\n  match = v8.split('.');\n  // in old Chrome, versions of V8 isn't V8 = Chrome / 10\n  // but their correct versions are not interesting for us\n  version = match[0] > 0 && match[0] < 4 ? 1 : +(match[0] + match[1]);\n}\n\n// BrowserFS NodeJS `process` polyfill incorrectly set `.v8` to `0.0`\n// so check `userAgent` even if `.v8` exists, but 0\nif (!version && userAgent) {\n  match = userAgent.match(/Edge\\/(\\d+)/);\n  if (!match || match[1] >= 74) {\n    match = userAgent.match(/Chrome\\/(\\d+)/);\n    if (match) version = +match[1];\n  }\n}\n\nmodule.exports = version;\n","'use strict';\n\nvar enhanceError = require('./enhanceError');\n\n/**\n * Create an Error with the specified message, config, error code, request and response.\n *\n * @param {string} message The error message.\n * @param {Object} config The config.\n * @param {string} [code] The error code (for example, 'ECONNABORTED').\n * @param {Object} [request] The request.\n * @param {Object} [response] The response.\n * @returns {Error} The created error.\n */\nmodule.exports = function createError(message, config, code, request, response) {\n  var error = new Error(message);\n  return enhanceError(error, config, code, request, response);\n};\n","'use strict';\n\nmodule.exports = function isCancel(value) {\n  return !!(value && value.__CANCEL__);\n};\n","import mod from \"-!../node_modules/cache-loader/dist/cjs.js??ref--13-0!../node_modules/babel-loader/lib/index.js!../node_modules/cache-loader/dist/cjs.js??ref--1-0!../node_modules/vue-loader/lib/index.js??vue-loader-options!./StyleProvider.vue?vue&type=script&lang=js\"; export default mod; export * from \"-!../node_modules/cache-loader/dist/cjs.js??ref--13-0!../node_modules/babel-loader/lib/index.js!../node_modules/cache-loader/dist/cjs.js??ref--1-0!../node_modules/vue-loader/lib/index.js??vue-loader-options!./StyleProvider.vue?vue&type=script&lang=js\"","export * from \"-!../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./ManualCheck.vue?vue&type=style&index=1&id=1a685238&prod&lang=scss\"","\"use strict\";\nObject.defineProperty(exports, \"__esModule\", { value: true });\nexports.arrayProp = void 0;\nconst util_1 = require(\"../util\");\n/**\n * Allows any array. No further runtime validation is performed by default.\n *\n * Type parameter `T` can be used to restrict the type of the array items at compile time.\n *\n *  @param validator - Optional function for further runtime validation; should return `undefined` if valid, or an error string if invalid.\n */\nconst arrayProp = (validator) => (0, util_1.propOptionsGenerator)(Array, validator);\nexports.arrayProp = arrayProp;\n","var render = function render(){var _vm=this,_c=_vm._self._c;return _c('div',{staticClass:\"app\"},[_vm._t(\"default\")],2)\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./ProductPreview.vue?vue&type=style&index=0&id=73f1befa&prod&lang=scss&scoped=true\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"7b0338f0\", content, shadowRoot)\n};","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".print-positions-manager .bx--accordion__content{padding:0 1rem!important;border-top:2px solid #f4f4f4}.print-positions-manager .bx--accordion__heading{width:-moz-fit-content!important;width:fit-content!important}.print-positions-manager .bx--accordion__heading:focus:before{box-sizing:border-box;border:0}.print-positions-manager .bx--accordion__arrow{margin-left:10px!important}.print-positions-manager .bx--accordion__title{font-size:14px}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".preview-section{padding:15px}.preview-section .bx--btn{max-width:unset;font-size:14px;margin-top:10px}.preview-section .bx--btn .bx--btn__icon{width:20px;height:20px}.preview-section__save-concept-button{height:48px!important;width:100%;font-size:14px;min-width:278px!important;width:278px!important}.preview-section__image{position:relative;min-width:204px;min-height:204px;background-color:var(--color)}.preview-section__image:hover{cursor:pointer}.preview-section__title{font-size:16px;font-weight:700;line-height:22px;letter-spacing:0;text-align:left}.preview-section__download-preview-button{width:100%;height:48px;font-size:14px;min-width:278px!important;width:278px!important}.preview-section__hover-helper{position:absolute;top:5px;right:5px;z-index:3;height:40px;width:var(--width);background-color:#fff;text-align:center}.preview-section__hover-icon,.preview-section__hover-text{color:#525252;margin-top:12px;display:inline-block}.preview-section__hover-text{font-size:14px;margin-right:15px;line-height:18px;font-weight:400}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","export * from \"-!../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./StyleProvider.vue?vue&type=style&index=0&id=cc3aba46&prod&lang=scss\"","'use strict';\n\nvar utils = require('./../utils');\n\nfunction encode(val) {\n  return encodeURIComponent(val).\n    replace(/%3A/gi, ':').\n    replace(/%24/g, '$').\n    replace(/%2C/gi, ',').\n    replace(/%20/g, '+').\n    replace(/%5B/gi, '[').\n    replace(/%5D/gi, ']');\n}\n\n/**\n * Build a URL by appending params to the end\n *\n * @param {string} url The base of the url (e.g., http://www.google.com)\n * @param {object} [params] The params to be appended\n * @returns {string} The formatted url\n */\nmodule.exports = function buildURL(url, params, paramsSerializer) {\n  /*eslint no-param-reassign:0*/\n  if (!params) {\n    return url;\n  }\n\n  var serializedParams;\n  if (paramsSerializer) {\n    serializedParams = paramsSerializer(params);\n  } else if (utils.isURLSearchParams(params)) {\n    serializedParams = params.toString();\n  } else {\n    var parts = [];\n\n    utils.forEach(params, function serialize(val, key) {\n      if (val === null || typeof val === 'undefined') {\n        return;\n      }\n\n      if (utils.isArray(val)) {\n        key = key + '[]';\n      } else {\n        val = [val];\n      }\n\n      utils.forEach(val, function parseValue(v) {\n        if (utils.isDate(v)) {\n          v = v.toISOString();\n        } else if (utils.isObject(v)) {\n          v = JSON.stringify(v);\n        }\n        parts.push(encode(key) + '=' + encode(v));\n      });\n    });\n\n    serializedParams = parts.join('&');\n  }\n\n  if (serializedParams) {\n    var hashmarkIndex = url.indexOf('#');\n    if (hashmarkIndex !== -1) {\n      url = url.slice(0, hashmarkIndex);\n    }\n\n    url += (url.indexOf('?') === -1 ? '?' : '&') + serializedParams;\n  }\n\n  return url;\n};\n","import _remove from 'lodash.remove';\r\n/**\r\n * AppContext is a simple plain array of string values\r\n */\r\ntype AppContext = string[];\r\n\r\n/*\r\n *  State helper, that will set a value in AppContext if it doesn't exist already\r\n *  @context {AppContext} Current array of context values\r\n *  @value {string} New value to be added to the AppContext\r\n */\r\nexport const setAppContext = (\r\n  context: AppContext,\r\n  value: string\r\n): AppContext => {\r\n  const entryExists = context.findIndex((ctx) => ctx === value) > -1;\r\n  return !entryExists ? [...context].concat(value) : context;\r\n};\r\n\r\n/*\r\n *  State helper, that will remove a value from AppContext\r\n */\r\nexport const removeAppContext = (\r\n  context: AppContext,\r\n  value: string\r\n): AppContext => {\r\n  return _remove(context, (current) => {\r\n    return current !== value;\r\n  });\r\n};\r\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".confirmation-title[data-v-792f7dd1]{font-size:20px;line-height:1.3;color:var(--gray-100)}.confirmation-desc[data-v-792f7dd1]{font-size:14px;line-height:1.43;letter-spacing:.16px;color:var(--gray-100)}.small-detail-confirmation[data-v-792f7dd1]{padding:0!important}.small-detail-confirmation .bx--row[data-v-792f7dd1]{margin-left:0;margin-right:0}.small-detail-confirmation .bx--btn-set .bx--btn[data-v-792f7dd1]{height:50px;max-width:50%;width:50%;font-size:14px}.p-15[data-v-792f7dd1]{padding:15px}.ml-15[data-v-792f7dd1]{margin-left:15px}.mt-10[data-v-792f7dd1]{margin-top:10px}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./TextPanelOptions.vue?vue&type=style&index=1&id=467d1cc2&prod&lang=scss\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"6cc66d02\", content, shadowRoot)\n};","import { AxiosError, AxiosRequestConfig, AxiosResponse } from 'axios';\r\nimport { useStore as useAuthStore } from '../../stores/auth';\r\n\r\nexport const authHandler = (config: AxiosRequestConfig) => {\r\n  const authStore = useAuthStore();\r\n  config.headers['x-token'] = authStore.tok;\r\n  config.headers['x-customerId'] = authStore.sapCustomerId;\r\n  return config;\r\n};\r\n\r\nexport const validTokenHandler = (response: AxiosResponse) => {\r\n  const authStore = useAuthStore();\r\n  authStore.setIsTokValid(true);\r\n  return response;\r\n};\r\n\r\nexport const invalidTokenHandler = (error: AxiosError) => {\r\n  const authStore = useAuthStore();\r\n  if (error.response?.status === 401) {\r\n    authStore.setIsTokValid(false);\r\n  } else {\r\n    authStore.setIsTokValid(true);\r\n  }\r\n  return Promise.reject(error);\r\n};\r\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../node_modules/css-loader/dist/runtime/api.js\");\nvar ___CSS_LOADER_AT_RULE_IMPORT_0___ = require(\"-!../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!vue-js-modal/dist/styles.css\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\nexports.i(___CSS_LOADER_AT_RULE_IMPORT_0___);\n// Module\nexports.push([module.id, \".vm--modal{border-radius:0;box-shadow:none}.vm--overlay{background:rgba(22,22,22,.5)}.main-view{position:relative;overflow:hidden;box-sizing:border-box;margin:auto}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","\"use strict\";\nObject.defineProperty(exports, \"__esModule\", { value: true });\nexports.isNonPositive = exports.isNonNegative = exports.isPositive = exports.isNegative = exports.instanceOfProp = exports.oneOfTypesProp = exports.oneOfObjectKeysProp = exports.oneOfProp = exports.functionProp = exports.objectProp = exports.arrayProp = exports.anyProp = exports.vueComponentProp = exports.symbolProp = exports.integerProp = exports.numberProp = exports.booleanProp = exports.stringProp = void 0;\nvar string_1 = require(\"./prop-types/string\");\nObject.defineProperty(exports, \"stringProp\", { enumerable: true, get: function () { return string_1.stringProp; } });\nvar boolean_1 = require(\"./prop-types/boolean\");\nObject.defineProperty(exports, \"booleanProp\", { enumerable: true, get: function () { return boolean_1.booleanProp; } });\nvar number_1 = require(\"./prop-types/number\");\nObject.defineProperty(exports, \"numberProp\", { enumerable: true, get: function () { return number_1.numberProp; } });\nvar integer_1 = require(\"./prop-types/integer\");\nObject.defineProperty(exports, \"integerProp\", { enumerable: true, get: function () { return integer_1.integerProp; } });\nvar symbol_1 = require(\"./prop-types/symbol\");\nObject.defineProperty(exports, \"symbolProp\", { enumerable: true, get: function () { return symbol_1.symbolProp; } });\nvar vueComponent_1 = require(\"./prop-types/vueComponent\");\nObject.defineProperty(exports, \"vueComponentProp\", { enumerable: true, get: function () { return vueComponent_1.vueComponentProp; } });\nvar any_1 = require(\"./prop-types/any\");\nObject.defineProperty(exports, \"anyProp\", { enumerable: true, get: function () { return any_1.anyProp; } });\nvar array_1 = require(\"./prop-types/array\");\nObject.defineProperty(exports, \"arrayProp\", { enumerable: true, get: function () { return array_1.arrayProp; } });\nvar object_1 = require(\"./prop-types/object\");\nObject.defineProperty(exports, \"objectProp\", { enumerable: true, get: function () { return object_1.objectProp; } });\nvar function_1 = require(\"./prop-types/function\");\nObject.defineProperty(exports, \"functionProp\", { enumerable: true, get: function () { return function_1.functionProp; } });\nvar oneOf_1 = require(\"./prop-types/oneOf\");\nObject.defineProperty(exports, \"oneOfProp\", { enumerable: true, get: function () { return oneOf_1.oneOfProp; } });\nvar oneOfObjectKeys_1 = require(\"./prop-types/oneOfObjectKeys\");\nObject.defineProperty(exports, \"oneOfObjectKeysProp\", { enumerable: true, get: function () { return oneOfObjectKeys_1.oneOfObjectKeysProp; } });\nvar oneOfTypes_1 = require(\"./prop-types/oneOfTypes\");\nObject.defineProperty(exports, \"oneOfTypesProp\", { enumerable: true, get: function () { return oneOfTypes_1.oneOfTypesProp; } });\nvar instanceOf_1 = require(\"./prop-types/instanceOf\");\nObject.defineProperty(exports, \"instanceOfProp\", { enumerable: true, get: function () { return instanceOf_1.instanceOfProp; } });\nvar isNegative_1 = require(\"./validators/isNegative\");\nObject.defineProperty(exports, \"isNegative\", { enumerable: true, get: function () { return isNegative_1.isNegative; } });\nvar isPositive_1 = require(\"./validators/isPositive\");\nObject.defineProperty(exports, \"isPositive\", { enumerable: true, get: function () { return isPositive_1.isPositive; } });\nvar isNonNegative_1 = require(\"./validators/isNonNegative\");\nObject.defineProperty(exports, \"isNonNegative\", { enumerable: true, get: function () { return isNonNegative_1.isNonNegative; } });\nvar isNonPositive_1 = require(\"./validators/isNonPositive\");\nObject.defineProperty(exports, \"isNonPositive\", { enumerable: true, get: function () { return isNonPositive_1.isNonPositive; } });\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".small-details{overflow-y:auto;overflow-x:hidden;height:100%;display:flex;flex-direction:column;justify-content:space-between}.small-details .bx--btn-set .bx--btn{height:50px}.img-magnifier-container-one-logo{position:relative;box-sizing:border-box;mix-blend-mode:darken}.img-magnifier-glass{position:absolute;border:1px solid #000;cursor:none;width:60px;height:60px;background-repeat:no-repeat}.zoom-options{cursor:pointer;margin-left:15px;margin-top:30px;display:flex}.image-one-logo{width:100%;max-height:250px;max-width:480px}.status-container{justify-content:space-between;margin:0 10px}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","import { defineStore } from 'pinia';\r\nimport i18n from '@/i18n';\r\nimport customersAPI from '@/services/CustomersService';\r\n\r\nexport const useStore = defineStore({\r\n  id: 'lang',\r\n\r\n  state: () => {\r\n    return {\r\n      languageInUse: 'none',\r\n    };\r\n  },\r\n  getters: {\r\n    languageCode(): string {\r\n      return this.languageInUse;\r\n    },\r\n  },\r\n  actions: {\r\n    setLanguageLocale(locale: string) {\r\n      console.log('locales:', { existing: this.languageInUse, new: locale });\r\n      // Logic to set language locale using i18n\r\n      this.languageInUse = locale;\r\n      i18n.locale = this.languageInUse;\r\n    },\r\n    async setDefaultTranslations(){\r\n      if (process.env.VUE_APP_USE_LOCAL_TRANSLATIONS === 'false') {\r\n        const translationsJson = await customersAPI.getTranslations('en');\r\n        i18n.setLocaleMessage('en', translationsJson.data);\r\n      } \r\n    }\r\n  },\r\n});\r\n\r\ndeclare const window: Window & {\r\n  setLanguageLocale: (locale: string) => void;\r\n};\r\n\r\n/**\r\n * Dispose this on window global, for demoing purposes\r\n * @param locale language locale string\r\n */\r\nwindow.setLanguageLocale = (locale: string) => {\r\n  i18n.locale = locale;\r\n};\r\n","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../../node_modules/css-loader/dist/cjs.js??ref--7-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--7-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--7-oneOf-1-3!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./IconTextButton.vue?vue&type=style&index=1&id=78b1d6a6&prod&scoped=true&lang=css\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"6674657f\", content, shadowRoot)\n};","'use strict';\nmodule.exports = typeof navigator != 'undefined' && String(navigator.userAgent) || '';\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".manual-check-container .cv-column{padding:0!important}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".text-panel-options .oval{display:flex;width:20px;height:20px;min-width:20px;min-height:20px;border-radius:50%;margin:0 7px}.d-flex{display:flex}.font-size-dropdown{z-index:2}.font-family-dropdown{z-index:3}.font-size-dropdown .bx--list-box__menu{z-index:2}.font-family-dropdown .bx--list-box__menu{z-index:3}.text-panel-options__text-option{margin-top:10px;padding:10px}.text-panel-options__option{display:flex;flex-direction:column;padding-left:10px;padding-right:10px}.text-panel-options__option--label{margin-top:10px;margin-bottom:5px;font-size:12px;color:#161616}.text-panel-options__option__text{height:142px;margin-top:10px;padding:10px}.text-panel-options__option__text-style{padding:0;font-weight:700}.text-panel-options__option--header{margin:20px 0 10px 0;font-size:14px;color:#161616}.text-panel-options__option--button{display:flex}.text-panel-options__option--button>:not(:first-child){margin-left:10px}.text-panel-options__option--icon{padding:10px;border:1px solid #d3d3d3;width:-moz-fit-content;width:fit-content;height:40px}.text-panel-options__option--color-container{margin-bottom:10px}.text-panel-options__insert-button{margin-top:10px;padding:10px;width:240px!important}.text-panel-options__insert-button button{width:220px!important}.text-panel-options__insert-button .bx--btn .bx--btn__icon{height:16px;width:16px}.none-border{border:none}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","/**\n * Copyright IBM Corp. 2019, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nimport { c as createSVGComponent } from '../utils-9450cd75.js';\nimport '@carbon/icon-helpers';\nimport 'vue';\n\nconst ChevronLeft32 = createSVGComponent('ChevronLeft32', {\n  \"xmlns\": \"http://www.w3.org/2000/svg\",\n  \"viewBox\": \"0 0 32 32\",\n  \"fill\": \"currentColor\",\n  \"width\": 32,\n  \"height\": 32\n}, [{\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M10 16L20 6 21.4 7.4 12.8 16 21.4 24.6 20 26z\"\n  }\n}]);\n\nexport { ChevronLeft32 as default };\n","export * from \"-!../../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./OrderDetails.vue?vue&type=style&index=1&id=a8f26848&prod&lang=scss&scoped=true\"","'use strict';\nvar $TypeError = TypeError;\nvar MAX_SAFE_INTEGER = 0x1FFFFFFFFFFFFF; // 2 ** 53 - 1 == 9007199254740991\n\nmodule.exports = function (it) {\n  if (it > MAX_SAFE_INTEGER) throw $TypeError('Maximum allowed index exceeded');\n  return it;\n};\n","\"use strict\";\nObject.defineProperty(exports, \"__esModule\", { value: true });\nexports.isInstanceOf = void 0;\n/** Validator that only allows instances of the given parent. */\nconst isInstanceOf = (parent) => (value) => {\n    if (!(value instanceof parent)) {\n        return `value should be an instance of ${parent.name}`;\n    }\n    return undefined;\n};\nexports.isInstanceOf = isInstanceOf;\n","/**\n * Translates the list format produced by css-loader into something\n * easier to manipulate.\n */\nexport default function listToStyles (parentId, list) {\n  var styles = []\n  var newStyles = {}\n  for (var i = 0; i < list.length; i++) {\n    var item = list[i]\n    var id = item[0]\n    var css = item[1]\n    var media = item[2]\n    var sourceMap = item[3]\n    var part = {\n      id: parentId + ':' + i,\n      css: css,\n      media: media,\n      sourceMap: sourceMap\n    }\n    if (!newStyles[id]) {\n      styles.push(newStyles[id] = { id: id, parts: [part] })\n    } else {\n      newStyles[id].parts.push(part)\n    }\n  }\n  return styles\n}\n","import listToStyles from './listToStyles'\n\nexport default function addStylesToShadowDOM (parentId, list, shadowRoot) {\n  var styles = listToStyles(parentId, list)\n  addStyles(styles, shadowRoot)\n}\n\n/*\ntype StyleObject = {\n  id: number;\n  parts: Array<StyleObjectPart>\n}\n\ntype StyleObjectPart = {\n  css: string;\n  media: string;\n  sourceMap: ?string\n}\n*/\n\nfunction addStyles (styles /* Array<StyleObject> */, shadowRoot) {\n  const injectedStyles =\n    shadowRoot._injectedStyles ||\n    (shadowRoot._injectedStyles = {})\n  for (var i = 0; i < styles.length; i++) {\n    var item = styles[i]\n    var style = injectedStyles[item.id]\n    if (!style) {\n      for (var j = 0; j < item.parts.length; j++) {\n        addStyle(item.parts[j], shadowRoot)\n      }\n      injectedStyles[item.id] = true\n    }\n  }\n}\n\nfunction createStyleElement (shadowRoot) {\n  var styleElement = document.createElement('style')\n  styleElement.type = 'text/css'\n  shadowRoot.appendChild(styleElement)\n  return styleElement\n}\n\nfunction addStyle (obj /* StyleObjectPart */, shadowRoot) {\n  var styleElement = createStyleElement(shadowRoot)\n  var css = obj.css\n  var media = obj.media\n  var sourceMap = obj.sourceMap\n\n  if (media) {\n    styleElement.setAttribute('media', media)\n  }\n\n  if (sourceMap) {\n    // https://developer.chrome.com/devtools/docs/javascript-debugging\n    // this makes source maps inside style tags work properly in Chrome\n    css += '\\n/*# sourceURL=' + sourceMap.sources[0] + ' */'\n    // http://stackoverflow.com/a/26603875\n    css += '\\n/*# sourceMappingURL=data:application/json;base64,' + btoa(unescape(encodeURIComponent(JSON.stringify(sourceMap)))) + ' */'\n  }\n\n  if (styleElement.styleSheet) {\n    styleElement.styleSheet.cssText = css\n  } else {\n    while (styleElement.firstChild) {\n      styleElement.removeChild(styleElement.firstChild)\n    }\n    styleElement.appendChild(document.createTextNode(css))\n  }\n}\n","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./WhatsNew.vue?vue&type=style&index=0&id=21e9af10&prod&lang=scss\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = 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.ql-stroke-miter{fill:none;stroke:#444;stroke-miterlimit:10;stroke-width:2}.ql-snow .ql-fill,.ql-snow .ql-stroke.ql-fill{fill:#444}.ql-snow .ql-empty{fill:none}.ql-snow .ql-even{fill-rule:evenodd}.ql-snow .ql-stroke.ql-thin,.ql-snow .ql-thin{stroke-width:1}.ql-snow .ql-transparent{opacity:.4}.ql-snow .ql-direction svg:last-child{display:none}.ql-snow .ql-direction.ql-active svg:last-child{display:inline}.ql-snow .ql-direction.ql-active svg:first-child{display:none}.ql-snow .ql-editor h1{font-size:2em}.ql-snow .ql-editor h2{font-size:1.5em}.ql-snow .ql-editor h3{font-size:1.17em}.ql-snow .ql-editor h4{font-size:1em}.ql-snow .ql-editor h5{font-size:.83em}.ql-snow .ql-editor h6{font-size:.67em}.ql-snow .ql-editor a{text-decoration:underline}.ql-snow .ql-editor blockquote{border-left:4px solid #ccc;margin-bottom:5px;margin-top:5px;padding-left:16px}.ql-snow .ql-editor code,.ql-snow .ql-editor pre{background-color:#f0f0f0;border-radius:3px}.ql-snow .ql-editor pre{white-space:pre-wrap;margin-bottom:5px;margin-top:5px;padding:5px 10px}.ql-snow .ql-editor code{font-size:85%;padding:2px 4px}.ql-snow .ql-editor pre.ql-syntax{background-color:#23241f;color:#f8f8f2;overflow:visible}.ql-snow .ql-editor img{max-width:100%}.ql-snow .ql-picker{color:#444;display:inline-block;float:left;font-size:14px;font-weight:500;height:24px;position:relative;vertical-align:middle}.ql-snow .ql-picker-label{cursor:pointer;display:inline-block;height:100%;padding-left:8px;padding-right:2px;position:relative;width:100%}.ql-snow .ql-picker-label:before{display:inline-block;line-height:22px}.ql-snow .ql-picker-options{background-color:#fff;display:none;min-width:100%;padding:4px 8px;position:absolute;white-space:nowrap}.ql-snow .ql-picker-options .ql-picker-item{cursor:pointer;display:block;padding-bottom:5px;padding-top:5px}.ql-snow .ql-picker.ql-expanded .ql-picker-label{color:#ccc;z-index:2}.ql-snow .ql-picker.ql-expanded .ql-picker-label .ql-fill{fill:#ccc}.ql-snow .ql-picker.ql-expanded .ql-picker-label .ql-stroke{stroke:#ccc}.ql-snow .ql-picker.ql-expanded .ql-picker-options{display:block;margin-top:-1px;top:100%;z-index:1}.ql-snow .ql-color-picker,.ql-snow .ql-icon-picker{width:28px}.ql-snow .ql-color-picker .ql-picker-label,.ql-snow .ql-icon-picker .ql-picker-label{padding:2px 4px}.ql-snow .ql-color-picker .ql-picker-label svg,.ql-snow .ql-icon-picker .ql-picker-label svg{right:4px}.ql-snow .ql-icon-picker .ql-picker-options{padding:4px 0}.ql-snow .ql-icon-picker .ql-picker-item{height:24px;width:24px;padding:2px 4px}.ql-snow .ql-color-picker .ql-picker-options{padding:3px 5px;width:152px}.ql-snow .ql-color-picker .ql-picker-item{border:1px solid transparent;float:left;height:16px;margin:2px;padding:0;width:16px}.ql-snow .ql-picker:not(.ql-color-picker):not(.ql-icon-picker) svg{position:absolute;margin-top:-9px;right:0;top:50%;width:18px}.ql-snow .ql-picker.ql-font .ql-picker-item[data-label]:not([data-label=\\\"\\\"]):before,.ql-snow .ql-picker.ql-font .ql-picker-label[data-label]:not([data-label=\\\"\\\"]):before,.ql-snow .ql-picker.ql-header .ql-picker-item[data-label]:not([data-label=\\\"\\\"]):before,.ql-snow .ql-picker.ql-header .ql-picker-label[data-label]:not([data-label=\\\"\\\"]):before,.ql-snow .ql-picker.ql-size .ql-picker-item[data-label]:not([data-label=\\\"\\\"]):before,.ql-snow .ql-picker.ql-size .ql-picker-label[data-label]:not([data-label=\\\"\\\"]):before{content:attr(data-label)}.ql-snow .ql-picker.ql-header{width:98px}.ql-snow .ql-picker.ql-header .ql-picker-item:before,.ql-snow .ql-picker.ql-header .ql-picker-label:before{content:\\\"Normal\\\"}.ql-snow .ql-picker.ql-header .ql-picker-item[data-value=\\\"1\\\"]:before,.ql-snow .ql-picker.ql-header .ql-picker-label[data-value=\\\"1\\\"]:before{content:\\\"Heading 1\\\"}.ql-snow .ql-picker.ql-header .ql-picker-item[data-value=\\\"2\\\"]:before,.ql-snow .ql-picker.ql-header .ql-picker-label[data-value=\\\"2\\\"]:before{content:\\\"Heading 2\\\"}.ql-snow .ql-picker.ql-header .ql-picker-item[data-value=\\\"3\\\"]:before,.ql-snow .ql-picker.ql-header .ql-picker-label[data-value=\\\"3\\\"]:before{content:\\\"Heading 3\\\"}.ql-snow .ql-picker.ql-header .ql-picker-item[data-value=\\\"4\\\"]:before,.ql-snow .ql-picker.ql-header .ql-picker-label[data-value=\\\"4\\\"]:before{content:\\\"Heading 4\\\"}.ql-snow .ql-picker.ql-header .ql-picker-item[data-value=\\\"5\\\"]:before,.ql-snow .ql-picker.ql-header .ql-picker-label[data-value=\\\"5\\\"]:before{content:\\\"Heading 5\\\"}.ql-snow .ql-picker.ql-header .ql-picker-item[data-value=\\\"6\\\"]:before,.ql-snow .ql-picker.ql-header .ql-picker-label[data-value=\\\"6\\\"]:before{content:\\\"Heading 6\\\"}.ql-snow .ql-picker.ql-header .ql-picker-item[data-value=\\\"1\\\"]:before{font-size:2em}.ql-snow .ql-picker.ql-header .ql-picker-item[data-value=\\\"2\\\"]:before{font-size:1.5em}.ql-snow .ql-picker.ql-header .ql-picker-item[data-value=\\\"3\\\"]:before{font-size:1.17em}.ql-snow .ql-picker.ql-header .ql-picker-item[data-value=\\\"4\\\"]:before{font-size:1em}.ql-snow .ql-picker.ql-header .ql-picker-item[data-value=\\\"5\\\"]:before{font-size:.83em}.ql-snow .ql-picker.ql-header .ql-picker-item[data-value=\\\"6\\\"]:before{font-size:.67em}.ql-snow .ql-picker.ql-font{width:108px}.ql-snow .ql-picker.ql-font .ql-picker-item:before,.ql-snow .ql-picker.ql-font .ql-picker-label:before{content:\\\"Sans Serif\\\"}.ql-snow .ql-picker.ql-font .ql-picker-item[data-value=serif]:before,.ql-snow .ql-picker.ql-font .ql-picker-label[data-value=serif]:before{content:\\\"Serif\\\"}.ql-snow .ql-picker.ql-font .ql-picker-item[data-value=monospace]:before,.ql-snow .ql-picker.ql-font .ql-picker-label[data-value=monospace]:before{content:\\\"Monospace\\\"}.ql-snow .ql-picker.ql-font .ql-picker-item[data-value=serif]:before{font-family:Georgia,Times New Roman,serif}.ql-snow .ql-picker.ql-font .ql-picker-item[data-value=monospace]:before{font-family:Monaco,Courier New,monospace}.ql-snow .ql-picker.ql-size{width:98px}.ql-snow .ql-picker.ql-size .ql-picker-item:before,.ql-snow .ql-picker.ql-size .ql-picker-label:before{content:\\\"Normal\\\"}.ql-snow .ql-picker.ql-size .ql-picker-item[data-value=small]:before,.ql-snow .ql-picker.ql-size .ql-picker-label[data-value=small]:before{content:\\\"Small\\\"}.ql-snow .ql-picker.ql-size .ql-picker-item[data-value=large]:before,.ql-snow .ql-picker.ql-size .ql-picker-label[data-value=large]:before{content:\\\"Large\\\"}.ql-snow .ql-picker.ql-size .ql-picker-item[data-value=huge]:before,.ql-snow .ql-picker.ql-size .ql-picker-label[data-value=huge]:before{content:\\\"Huge\\\"}.ql-snow .ql-picker.ql-size .ql-picker-item[data-value=small]:before{font-size:10px}.ql-snow .ql-picker.ql-size .ql-picker-item[data-value=large]:before{font-size:18px}.ql-snow .ql-picker.ql-size .ql-picker-item[data-value=huge]:before{font-size:32px}.ql-snow .ql-color-picker.ql-background .ql-picker-item{background-color:#fff}.ql-snow .ql-color-picker.ql-color .ql-picker-item{background-color:#000}.ql-toolbar.ql-snow{border:1px solid #ccc;box-sizing:border-box;font-family:Helvetica Neue,Helvetica,Arial,sans-serif;padding:8px}.ql-toolbar.ql-snow .ql-formats{margin-right:15px}.ql-toolbar.ql-snow .ql-picker-label{border:1px solid transparent}.ql-toolbar.ql-snow .ql-picker-options{border:1px solid transparent;box-shadow:0 2px 8px rgba(0,0,0,.2)}.ql-toolbar.ql-snow .ql-picker.ql-expanded .ql-picker-label,.ql-toolbar.ql-snow .ql-picker.ql-expanded .ql-picker-options{border-color:#ccc}.ql-toolbar.ql-snow .ql-color-picker .ql-picker-item.ql-selected,.ql-toolbar.ql-snow .ql-color-picker .ql-picker-item:hover{border-color:#000}.ql-toolbar.ql-snow+.ql-container.ql-snow{border-top:0}.ql-snow .ql-tooltip{background-color:#fff;border:1px solid #ccc;box-shadow:0 0 5px #ddd;color:#444;padding:5px 12px;white-space:nowrap}.ql-snow .ql-tooltip:before{content:\\\"Visit URL:\\\";line-height:26px;margin-right:8px}.ql-snow .ql-tooltip input[type=text]{display:none;border:1px solid #ccc;font-size:13px;height:26px;margin:0;padding:3px 5px;width:170px}.ql-snow .ql-tooltip a.ql-preview{display:inline-block;max-width:200px;overflow-x:hidden;text-overflow:ellipsis;vertical-align:top}.ql-snow .ql-tooltip a.ql-action:after{border-right:1px solid #ccc;content:\\\"Edit\\\";margin-left:16px;padding-right:8px}.ql-snow .ql-tooltip a.ql-remove:before{content:\\\"Remove\\\";margin-left:8px}.ql-snow .ql-tooltip a{line-height:26px}.ql-snow .ql-tooltip.ql-editing a.ql-preview,.ql-snow .ql-tooltip.ql-editing a.ql-remove{display:none}.ql-snow .ql-tooltip.ql-editing input[type=text]{display:inline-block}.ql-snow .ql-tooltip.ql-editing a.ql-action:after{border-right:0;content:\\\"Save\\\";padding-right:0}.ql-snow .ql-tooltip[data-mode=link]:before{content:\\\"Enter link:\\\"}.ql-snow .ql-tooltip[data-mode=formula]:before{content:\\\"Enter formula:\\\"}.ql-snow .ql-tooltip[data-mode=video]:before{content:\\\"Enter video:\\\"}.ql-snow a{color:#06c}.ql-container.ql-snow{border:1px solid #ccc}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".logo-library .app-bar{background-color:#fff;border-bottom:1px solid #dcdcdc;padding:5px;height:72px;align-content:center;margin-left:-3%;margin-right:-3%;justify-content:space-between}.logo-library .cv-grid-story__flex-end{display:flex;justify-content:flex-end;padding:3%;padding-top:2%;padding-right:6%}.logo-library .tag-filter-area{padding:2%;padding-right:2px;padding-left:6%}.logo-library .bx--list-box{height:40px!important;max-height:40px!important}.logo-library .bx--btn--field,.logo-library .bx--btn--md{min-height:40px!important}.logo-library .bx--search--lg.bx--search--expandable.bx--search--expanded .bx--search-input,.logo-library .bx--search--lg .bx--search-input{height:40px!important;padding:0 40px!important}.logo-library .bx--btn,.logo-library .bx--checkbox-label,.logo-library .bx--link,.logo-library .bx--list-box__label,.logo-library .bx--search-input{font-size:14px!important}.logo-library .logo-library .bx--checkbox-label:before{width:16px;height:16px}.logo-library .logo-library .bx--checkbox-label:after{width:9px;height:5px;top:5px;left:5px}.logo-library .logo-library .bx--btn--lg:not(.bx--btn--icon-only){min-height:64px;padding-top:16px}.logo-library .logo-library .bx--list-box__menu-item,.logo-library .logo-library .bx--list-box__menu-item__option{height:40px}.logo-library .logo-library .bx--checkbox-label-text{padding-left:6px;margin-left:10px}.logo-library .logo-library .bx--multi-select .bx--tag{width:38px;height:24px;border-radius:15px}.logo-library .logo-library .bx--tag__label{overflow:initial;font-size:10px}.logo-library .logo-library .bx--list-box--expanded .bx--list-box__menu{max-height:220px}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","export * from \"-!../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./EditArtworkForm.vue?vue&type=style&index=0&id=5d9492ec&prod&lang=scss\"","'use strict';\n\nvar utils = require('./../utils');\n\nmodule.exports = (\n  utils.isStandardBrowserEnv() ?\n\n  // Standard browser envs have full support of the APIs needed to test\n  // whether the request URL is of the same origin as current location.\n    (function standardBrowserEnv() {\n      var msie = /(msie|trident)/i.test(navigator.userAgent);\n      var urlParsingNode = document.createElement('a');\n      var originURL;\n\n      /**\n    * Parse a URL to discover it's components\n    *\n    * @param {String} url The URL to be parsed\n    * @returns {Object}\n    */\n      function resolveURL(url) {\n        var href = url;\n\n        if (msie) {\n        // IE needs attribute set twice to normalize properties\n          urlParsingNode.setAttribute('href', href);\n          href = urlParsingNode.href;\n        }\n\n        urlParsingNode.setAttribute('href', href);\n\n        // urlParsingNode provides the UrlUtils interface - http://url.spec.whatwg.org/#urlutils\n        return {\n          href: urlParsingNode.href,\n          protocol: urlParsingNode.protocol ? urlParsingNode.protocol.replace(/:$/, '') : '',\n          host: urlParsingNode.host,\n          search: urlParsingNode.search ? urlParsingNode.search.replace(/^\\?/, '') : '',\n          hash: urlParsingNode.hash ? urlParsingNode.hash.replace(/^#/, '') : '',\n          hostname: urlParsingNode.hostname,\n          port: urlParsingNode.port,\n          pathname: (urlParsingNode.pathname.charAt(0) === '/') ?\n            urlParsingNode.pathname :\n            '/' + urlParsingNode.pathname\n        };\n      }\n\n      originURL = resolveURL(window.location.href);\n\n      /**\n    * Determine if a URL shares the same origin as the current location\n    *\n    * @param {String} requestURL The URL to test\n    * @returns {boolean} True if URL shares the same origin, otherwise false\n    */\n      return function isURLSameOrigin(requestURL) {\n        var parsed = (utils.isString(requestURL)) ? resolveURL(requestURL) : requestURL;\n        return (parsed.protocol === originURL.protocol &&\n            parsed.host === originURL.host);\n      };\n    })() :\n\n  // Non standard browser envs (web workers, react-native) lack needed support.\n    (function nonStandardBrowserEnv() {\n      return function isURLSameOrigin() {\n        return true;\n      };\n    })()\n);\n","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('cv-structured-list',[_c('template',{slot:\"headings\"},[_c('cv-structured-list-heading',{staticClass:\"Product-variations\"},[_vm._v(_vm._s(_vm.$t('header.product-variations')))])],1),_c('template',{slot:\"items\"},_vm._l((_vm.productVariants),function(productVariant){return _c('cv-structured-list-item',{key:productVariant.productName,staticClass:\"Enabled\"},[_c('cv-structured-list-data',[_c('div',{staticClass:\"Product-variations-data\"},[_c('div',{staticClass:\"Product-color-name\"},[_c('div',{staticClass:\"Oval\",style:(_vm.styleOval(productVariant.colorHex))}),_c('div',{staticClass:\"Input-text body-short-01-text-01\"},[_vm._v(\" \"+_vm._s(productVariant.productName)+\" \")])]),_c('div',{staticClass:\"-pcs body-short-01-text-01\"},[_vm._v(\" \"+_vm._s(productVariant.quantity)+\" \"+_vm._s(_vm.$t('print-position.pcs'))+\" \")])])])],1)}),1)],2)\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","\r\nimport Vue, { PropType } from 'vue';\r\nimport { ProductColorSetterType } from '@/setters/typings/common/ProductColorsSetterType';\r\nimport {\r\n  CvStructuredList,\r\n  CvStructuredListItem,\r\n  CvStructuredListHeading,\r\n  CvStructuredListData,\r\n} from '@carbon/vue';\r\n\r\nexport default Vue.extend({\r\n  components: {\r\n    CvStructuredList,\r\n    CvStructuredListItem,\r\n    CvStructuredListHeading,\r\n    CvStructuredListData,\r\n  },\r\n  props: {\r\n    productVariants: {\r\n      type: Array as PropType<ProductColorSetterType[]>,\r\n      required: true,\r\n    },\r\n  },\r\n  methods: {\r\n    styleOval(color: string) {\r\n      return 'background-color: ' + color;\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../node_modules/babel-loader/lib/index.js!../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./ProductVariations.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../node_modules/babel-loader/lib/index.js!../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./ProductVariations.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./ProductVariations.vue?vue&type=template&id=08cc9246&scoped=true\"\nimport script from \"./ProductVariations.vue?vue&type=script&lang=ts\"\nexport * from \"./ProductVariations.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./ProductVariations.vue?vue&type=style&index=0&id=08cc9246&prod&lang=scss&scoped=true\")\nif (style0.__inject__) style0.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  \"08cc9246\",\n  null\n  ,true\n)\n\nexport default component.exports","export * from \"-!../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./TiptapToolbar.vue?vue&type=style&index=0&id=9c6e33ac&prod&lang=scss&scoped=true\"","'use strict';\nvar aSet = require('../internals/a-set');\nvar has = require('../internals/set-helpers').has;\nvar size = require('../internals/set-size');\nvar getSetRecord = require('../internals/get-set-record');\nvar iterateSimple = require('../internals/iterate-simple');\nvar iteratorClose = require('../internals/iterator-close');\n\n// `Set.prototype.isSupersetOf` method\n// https://tc39.github.io/proposal-set-methods/#Set.prototype.isSupersetOf\nmodule.exports = function isSupersetOf(other) {\n  var O = aSet(this);\n  var otherRec = getSetRecord(other);\n  if (size(O) < otherRec.size) return false;\n  var iterator = otherRec.getIterator();\n  return iterateSimple(iterator, function (e) {\n    if (!has(O, e)) return iteratorClose(iterator, 'normal', false);\n  }) !== false;\n};\n","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PositionsManagement.vue?vue&type=style&index=0&id=358eef66&prod&lang=scss\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"e2fcb484\", content, shadowRoot)\n};","export * from \"-!../../../node_modules/vue-style-loader/index.js??ref--7-oneOf-1-0!../../../node_modules/css-loader/dist/cjs.js??ref--7-oneOf-1-1!../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../node_modules/postcss-loader/src/index.js??ref--7-oneOf-1-2!../../../node_modules/postcss-loader/src/index.js??ref--7-oneOf-1-3!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./QuestionAboutWhiteReplace.vue?vue&type=style&index=0&id=792f7dd1&prod&scoped=true&lang=css\"","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../node_modules/css-loader/dist/cjs.js??ref--7-oneOf-1-1!../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../node_modules/postcss-loader/src/index.js??ref--7-oneOf-1-2!../../../node_modules/postcss-loader/src/index.js??ref--7-oneOf-1-3!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PreviewPdf.vue?vue&type=style&index=0&id=55693bea&prod&scoped=true&lang=css\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"a04d7800\", content, shadowRoot)\n};","'use strict';\nvar DESCRIPTORS = require('../internals/descriptors');\nvar isArray = require('../internals/is-array');\n\nvar $TypeError = TypeError;\n// eslint-disable-next-line es/no-object-getownpropertydescriptor -- safe\nvar getOwnPropertyDescriptor = Object.getOwnPropertyDescriptor;\n\n// Safari < 13 does not throw an error in this case\nvar SILENT_ON_NON_WRITABLE_LENGTH_SET = DESCRIPTORS && !function () {\n  // makes no sense without proper strict mode support\n  if (this !== undefined) return true;\n  try {\n    // eslint-disable-next-line es/no-object-defineproperty -- safe\n    Object.defineProperty([], 'length', { writable: false }).length = 1;\n  } catch (error) {\n    return error instanceof TypeError;\n  }\n}();\n\nmodule.exports = SILENT_ON_NON_WRITABLE_LENGTH_SET ? function (O, length) {\n  if (isArray(O) && !getOwnPropertyDescriptor(O, 'length').writable) {\n    throw new $TypeError('Cannot set read only .length');\n  } return O.length = length;\n} : function (O, length) {\n  return O.length = length;\n};\n","export * from \"-!../../../../../node_modules/vue-style-loader/index.js??ref--7-oneOf-1-0!../../../../../node_modules/css-loader/dist/cjs.js??ref--7-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--7-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--7-oneOf-1-3!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PinturaSidebar.vue?vue&type=style&index=2&id=073aee35&prod&lang=css\"","export * from \"-!../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./Header.vue?vue&type=style&index=0&id=72c15752&prod&lang=scss&scoped=true\"","export * from \"-!../../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./Footer.vue?vue&type=style&index=0&id=ca9025c8&prod&lang=scss&scoped=true\"","'use strict';\nvar uncurryThis = require('../internals/function-uncurry-this');\n\nmodule.exports = uncurryThis({}.isPrototypeOf);\n","/**\n * Copyright IBM Corp. 2019, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nimport { c as createSVGComponent } from '../utils-9450cd75.js';\nimport '@carbon/icon-helpers';\nimport 'vue';\n\nconst Edit16 = createSVGComponent('Edit16', {\n  \"xmlns\": \"http://www.w3.org/2000/svg\",\n  \"viewBox\": \"0 0 32 32\",\n  \"fill\": \"currentColor\",\n  \"width\": 16,\n  \"height\": 16\n}, [{\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M2 26H30V28H2zM25.4 9c.8-.8.8-2 0-2.8 0 0 0 0 0 0l-3.6-3.6c-.8-.8-2-.8-2.8 0 0 0 0 0 0 0l-15 15V24h6.4L25.4 9zM20.4 4L24 7.6l-3 3L17.4 7 20.4 4zM6 22v-3.6l10-10 3.6 3.6-10 10H6z\"\n  }\n}]);\n\nexport { Edit16 as default };\n","function ownKeys(object, enumerableOnly) {\n  var keys = Object.keys(object);\n  if (Object.getOwnPropertySymbols) {\n    var symbols = Object.getOwnPropertySymbols(object);\n    enumerableOnly && (symbols = symbols.filter(function (sym) {\n      return Object.getOwnPropertyDescriptor(object, sym).enumerable;\n    })), keys.push.apply(keys, symbols);\n  }\n  return keys;\n}\nfunction _objectSpread2(target) {\n  for (var i = 1; i < arguments.length; i++) {\n    var source = null != arguments[i] ? arguments[i] : {};\n    i % 2 ? ownKeys(Object(source), !0).forEach(function (key) {\n      _defineProperty(target, key, source[key]);\n    }) : Object.getOwnPropertyDescriptors ? Object.defineProperties(target, Object.getOwnPropertyDescriptors(source)) : ownKeys(Object(source)).forEach(function (key) {\n      Object.defineProperty(target, key, Object.getOwnPropertyDescriptor(source, key));\n    });\n  }\n  return target;\n}\nfunction _defineProperty(obj, key, value) {\n  key = _toPropertyKey(key);\n  if (key in obj) {\n    Object.defineProperty(obj, key, {\n      value: value,\n      enumerable: true,\n      configurable: true,\n      writable: true\n    });\n  } else {\n    obj[key] = value;\n  }\n  return obj;\n}\nfunction _objectWithoutPropertiesLoose(source, excluded) {\n  if (source == null) return {};\n  var target = {};\n  var sourceKeys = Object.keys(source);\n  var key, i;\n  for (i = 0; i < sourceKeys.length; i++) {\n    key = sourceKeys[i];\n    if (excluded.indexOf(key) >= 0) continue;\n    target[key] = source[key];\n  }\n  return target;\n}\nfunction _objectWithoutProperties(source, excluded) {\n  if (source == null) return {};\n  var target = _objectWithoutPropertiesLoose(source, excluded);\n  var key, i;\n  if (Object.getOwnPropertySymbols) {\n    var sourceSymbolKeys = Object.getOwnPropertySymbols(source);\n    for (i = 0; i < sourceSymbolKeys.length; i++) {\n      key = sourceSymbolKeys[i];\n      if (excluded.indexOf(key) >= 0) continue;\n      if (!Object.prototype.propertyIsEnumerable.call(source, key)) continue;\n      target[key] = source[key];\n    }\n  }\n  return target;\n}\nfunction _toPrimitive(input, hint) {\n  if (typeof input !== \"object\" || input === null) return input;\n  var prim = input[Symbol.toPrimitive];\n  if (prim !== undefined) {\n    var res = prim.call(input, hint || \"default\");\n    if (typeof res !== \"object\") return res;\n    throw new TypeError(\"@@toPrimitive must return a primitive value.\");\n  }\n  return (hint === \"string\" ? String : Number)(input);\n}\nfunction _toPropertyKey(arg) {\n  var key = _toPrimitive(arg, \"string\");\n  return typeof key === \"symbol\" ? key : String(key);\n}\n\nvar _excluded = [\"width\", \"height\", \"viewBox\"],\n  _excluded2 = [\"tabindex\"];\n/**\n * Copyright IBM Corp. 2018, 2024\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n */\n\nvar defaultAttributes = {\n  // Reference:\n  // https://github.com/IBM/carbon-components-react/issues/1392\n  // https://github.com/PolymerElements/iron-iconset-svg/pull/47\n  // `focusable` is a string attribute which is why we do not use a boolean here\n  focusable: 'false',\n  preserveAspectRatio: 'xMidYMid meet'\n};\n\n/**\n * Get supplementary HTML attributes for a given <svg> element based on existing\n * attributes.\n */\nfunction getAttributes() {\n  var _ref = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : {},\n    width = _ref.width,\n    height = _ref.height,\n    _ref$viewBox = _ref.viewBox,\n    viewBox = _ref$viewBox === void 0 ? \"0 0 \".concat(width, \" \").concat(height) : _ref$viewBox,\n    attributes = _objectWithoutProperties(_ref, _excluded);\n  var tabindex = attributes.tabindex,\n    rest = _objectWithoutProperties(attributes, _excluded2);\n  var iconAttributes = _objectSpread2(_objectSpread2(_objectSpread2({}, defaultAttributes), rest), {}, {\n    width: width,\n    height: height,\n    viewBox: viewBox\n  });\n\n  // TODO: attributes.title assumes that the consumer will implement <title> and\n  // correctly set `aria-labelledby`.\n  if (iconAttributes['aria-label'] || iconAttributes['aria-labelledby'] || iconAttributes.title) {\n    iconAttributes.role = 'img';\n\n    // Reference:\n    // https://allyjs.io/tutorials/focusing-in-svg.html\n    if (tabindex !== undefined && tabindex !== null) {\n      iconAttributes.focusable = 'true';\n      iconAttributes.tabindex = tabindex;\n    }\n  } else {\n    iconAttributes['aria-hidden'] = true;\n  }\n  return iconAttributes;\n}\n\n/**\n * Copyright IBM Corp. 2018, 2024\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n */\n/**\n * Convert an icon descriptor to a String\n */\nfunction toString(descriptor) {\n  var _descriptor$elem = descriptor.elem,\n    elem = _descriptor$elem === void 0 ? 'svg' : _descriptor$elem,\n    _descriptor$attrs = descriptor.attrs,\n    attrs = _descriptor$attrs === void 0 ? {} : _descriptor$attrs,\n    _descriptor$content = descriptor.content,\n    content = _descriptor$content === void 0 ? [] : _descriptor$content;\n  var children = content.map(toString).join('');\n  if (elem !== 'svg') {\n    return \"<\".concat(elem, \" \").concat(formatAttributes(attrs), \">\").concat(children, \"</\").concat(elem, \">\");\n  }\n  return \"<\".concat(elem, \" \").concat(formatAttributes(getAttributes(attrs)), \">\").concat(children, \"</\").concat(elem, \">\");\n}\nfunction formatAttributes(attrs) {\n  return Object.keys(attrs).reduce(function (acc, key, index) {\n    var attribute = \"\".concat(key, \"=\\\"\").concat(attrs[key], \"\\\"\");\n    if (index === 0) {\n      return attribute;\n    }\n    return acc + ' ' + attribute;\n  }, '');\n}\n\n/**\n * Copyright IBM Corp. 2018, 2024\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n */\n/**\n * Convert an icon descriptor to a DOM node.\n */\nfunction toSVG(descriptor) {\n  var _descriptor$elem = descriptor.elem,\n    elem = _descriptor$elem === void 0 ? 'svg' : _descriptor$elem,\n    _descriptor$attrs = descriptor.attrs,\n    attrs = _descriptor$attrs === void 0 ? {} : _descriptor$attrs,\n    _descriptor$content = descriptor.content,\n    content = _descriptor$content === void 0 ? [] : _descriptor$content;\n  var node = document.createElementNS('http://www.w3.org/2000/svg', elem);\n  var attributes = elem !== 'svg' ? attrs : getAttributes(attrs);\n  Object.keys(attributes).forEach(function (key) {\n    node.setAttribute(key, attrs[key]);\n  });\n  for (var i = 0; i < content.length; i++) {\n    node.appendChild(toSVG(content[i]));\n  }\n  return node;\n}\n\nexport { defaultAttributes, formatAttributes, getAttributes, toSVG, toString };\n","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./ActionsPanel.vue?vue&type=style&index=0&id=90b8cca0&prod&lang=scss&scoped=true\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"5ed29016\", content, shadowRoot)\n};","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".container[data-v-2f97a665]{flex-wrap:wrap;margin-top:7px}.container[data-v-2f97a665],.toggler[data-v-2f97a665]{height:40px;display:flex;width:100%}.toggler[data-v-2f97a665]{position:relative;align-items:center;border-bottom:1px solid #e0e0e0;background-color:#f4f4f4;color:#525252;cursor:pointer}.toggler__label[data-v-2f97a665]{font-size:14px}.toggler__search-box[data-v-2f97a665]{background-color:inherit;height:40px;width:300px;color:#525252;font-size:14px;width:100%;padding-left:10px}.toggler__search-box[data-v-2f97a665],.toggler__search-box[data-v-2f97a665]:active{border:none;outline:none}.toggler[data-v-2f97a665]:hover{background-color:#e5e5e5;color:#161616}.toggler--green-outline[data-v-2f97a665]{height:40px;display:flex;position:relative;align-items:center;width:100%;outline:2px solid #24a148;outline-offset:-2px}.dropdown-items[data-v-2f97a665]{width:100%;padding:0;height:-moz-fit-content;height:fit-content;overflow-y:auto;max-height:200px;background-color:#f4f4f4;list-style-type:none;z-index:1000;box-shadow:0 2px 6px rgba(0,0,0,.3)}.dropdown-item[data-v-2f97a665]{display:flex;align-items:center;height:40px;border-bottom:1px solid #8d8d8d;color:#525252;cursor:pointer}.dropdown-item__name[data-v-2f97a665]{font-size:14px}.dropdown-item[data-v-2f97a665]:hover{background-color:#e5e5e5}.toggler-dark[data-v-2f97a665]{display:flex;position:relative;align-items:center;height:40px;width:100%;border-bottom:1px solid #8d8d8d;background-color:#e0e0e0;color:#393939;cursor:pointer}.toggler-dark__label[data-v-2f97a665]{font-size:14px}.toggler-dark__search-box[data-v-2f97a665]{border:none;outline:none;background-color:inherit;height:40px;width:300px;color:#fff;font-size:14px;width:100%;padding-left:10px}.toggler-dark__search-box[data-v-2f97a665]:active{border:none;outline:none}.toggler-dark[data-v-2f97a665]:hover{background-color:#595959;color:#fff}.toggler-dark--green-outline[data-v-2f97a665]{height:40px;display:flex;position:relative;align-items:center;width:100%;outline:2px solid #24a148;outline-offset:-2px}.dropdown-items-dark[data-v-2f97a665]{width:100%;padding:0;height:-moz-fit-content;height:fit-content;overflow-y:auto;max-height:200px;background-color:#393939;list-style-type:none;z-index:1000;box-shadow:0 2px 6px rgba(0,0,0,.3)}.dropdown-item-dark[data-v-2f97a665]{display:flex;align-items:center;height:40px;border-bottom:1px solid #525252;color:#fff;cursor:pointer}.dropdown-item-dark__name[data-v-2f97a665]{font-size:14px}.dropdown-item-dark[data-v-2f97a665]:hover{background-color:#595959}.select-container[data-v-2f97a665]:focus{outline:none}.arrow[data-v-2f97a665]{margin-left:auto;margin-right:17px}.oval[data-v-2f97a665]{width:20px;height:20px;min-width:20px;min-height:20px;margin:0 7px}.oval[data-v-2f97a665],.oval-dark[data-v-2f97a665]{display:flex;border-radius:50%}.oval-dark[data-v-2f97a665]{width:25px;height:25px;margin:0 5px}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".oval-checkmark{width:24px;height:24px;border-radius:50%;cursor:pointer}.style-oval{outline:1px solid #f4f4f4;margin-top:5px;margin-left:3px;margin-right:3px}.style-oval,.style-oval-checkbox{background-color:var(--background-color)}.style-oval-checkbox{outline:1px solid #c6c6c6;border:2px solid #fff;margin:5px}.filtered-variants{display:inline-flex;vertical-align:top}.switch-color-component{width:100%;margin-top:10px}.switch-color-component__colors{display:flex!important}.title-switch-color{font-family:Roboto;font-size:12px;font-weight:400;font-stretch:normal;font-style:normal;line-height:1.33;letter-spacing:.32px;color:#525252}.checkmark{color:#f4f4f4;margin:3px}.switch-color-component .cv-accordion{width:100%}.switch-color-component .bx--accordion__item--active .bx--accordion__content{padding:0!important;margin:0!important}.switch-color-component .bx--accordion__item{border:none}.switch-color-component .bx--accordion__title{margin-left:0;font-size:13px;color:#525252}.switch-color-component .bx--accordion__arrow{margin-right:0}.switch-color-component .bx--accordion__heading:focus:before{border:none!important}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".bx--dropdown{border-bottom:none}.scrollbar-containter-full::-webkit-scrollbar{width:12px}.scrollbar-containter-full::-webkit-scrollbar-thumb{background-color:#8d8d8d}.scrollbar-containter::-webkit-scrollbar{width:4px}.scrollbar-containter::-webkit-scrollbar-thumb{background-color:#8d8d8d}.import-wizard-v2{font-family:Roboto;background:#e0e0e0;width:100%;height:100%;position:fixed;overflow:auto;top:2px;left:2px}.import-wizard-v2__header{background-color:#fff;height:var(--height);box-shadow:inset 0 -1px 0 0 #e0e0e0}.import-wizard-v2 .cv-header{z-index:4!important}.import-wizard-v2__main{border:1px solid #e0e0e0;display:flex;height:var(--height);width:100%}.import-wizard-v2__actions{margin-left:1px}.import-wizard-v2__actions,.import-wizard-v2__panels{background:#fff;box-shadow:inset -1px 0 0 0 #e0e0e0;width:var(--width);height:var(--height);max-height:var(--height)}.import-wizard-v2__panels{overflow-y:var(--scroll);overflow-x:hidden}.import-wizard-v2__panels-panel-type{padding:10px;border-bottom:1px solid #d3d3d3;font-size:16px}.import-wizard-v2__pintura-container{position:absolute;left:302px;height:var(--height);width:var(--width);text-align:center}.import-wizard-v2__notifications{position:absolute;top:10px;text-align:center;z-index:3}.import-wizard-v2__order-details-container{z-index:2;position:fixed;left:var(--left);bottom:0;width:628px;height:79px}.import-wizard-v2__pintura,.import-wizard-v2__right-sections{height:var(--height);width:var(--width)}.import-wizard-v2__right-sections{position:absolute;right:17px;top:69px;z-index:4}.import-wizard-v2__positions-manager{width:var(--width);background:#fff;padding-bottom:10px}.import-wizard-v2__preview{max-width:var(--width);min-height:370px;background:#fff;position:relative;top:16px}.import-wizard-v2__panels-panel-type{font-size:14px;font-weight:700;color:#161616;padding:16px}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","export * from \"-!../../../../node_modules/vue-style-loader/index.js??ref--7-oneOf-1-0!../../../../node_modules/css-loader/dist/cjs.js??ref--7-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--7-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--7-oneOf-1-3!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./SmallDetailsMultipleLogos.vue?vue&type=style&index=1&id=4f540050&prod&lang=css\"","export * from \"-!../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./UploadArtworkDialog.vue?vue&type=style&index=0&id=86760052&prod&lang=scss&scoped=true\"","import axios, { AxiosInstance } from 'axios';\r\n\r\nexport const createApi = (config: { BASE_URL: string }): AxiosInstance =>\r\n  axios.create({\r\n    baseURL: config.BASE_URL,\r\n    headers: {\r\n      'Content-type': 'application/json',\r\n    },\r\n  });\r\n","'use strict';\n\nvar bind = require('function-bind');\nvar GetIntrinsic = require('get-intrinsic');\nvar setFunctionLength = require('set-function-length');\n\nvar $TypeError = require('es-errors/type');\nvar $apply = GetIntrinsic('%Function.prototype.apply%');\nvar $call = GetIntrinsic('%Function.prototype.call%');\nvar $reflectApply = GetIntrinsic('%Reflect.apply%', true) || bind.call($call, $apply);\n\nvar $defineProperty = require('es-define-property');\nvar $max = GetIntrinsic('%Math.max%');\n\nmodule.exports = function callBind(originalFunction) {\n\tif (typeof originalFunction !== 'function') {\n\t\tthrow new $TypeError('a function is required');\n\t}\n\tvar func = $reflectApply(bind, $call, arguments);\n\treturn setFunctionLength(\n\t\tfunc,\n\t\t1 + $max(0, originalFunction.length - (arguments.length - 1)),\n\t\ttrue\n\t);\n};\n\nvar applyBind = function applyBind() {\n\treturn $reflectApply(bind, $apply, arguments);\n};\n\nif ($defineProperty) {\n\t$defineProperty(module.exports, 'apply', { value: applyBind });\n} else {\n\tmodule.exports.apply = applyBind;\n}\n","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./CustomTool.vue?vue&type=style&index=0&id=51d15d1d&prod&lang=scss\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"2e831c5b\", content, shadowRoot)\n};","export function getDevtoolsGlobalHook() {\n    return getTarget().__VUE_DEVTOOLS_GLOBAL_HOOK__;\n}\nexport function getTarget() {\n    // @ts-expect-error navigator and windows are not available in all environments\n    return (typeof navigator !== 'undefined' && typeof window !== 'undefined')\n        ? window\n        : typeof globalThis !== 'undefined'\n            ? globalThis\n            : {};\n}\nexport const isProxyAvailable = typeof Proxy === 'function';\n","export const HOOK_SETUP = 'devtools-plugin:setup';\nexport const HOOK_PLUGIN_SETTINGS_SET = 'plugin:settings:set';\n","let supported;\nlet perf;\nexport function isPerformanceSupported() {\n    var _a;\n    if (supported !== undefined) {\n        return supported;\n    }\n    if (typeof window !== 'undefined' && window.performance) {\n        supported = true;\n        perf = window.performance;\n    }\n    else if (typeof globalThis !== 'undefined' && ((_a = globalThis.perf_hooks) === null || _a === void 0 ? void 0 : _a.performance)) {\n        supported = true;\n        perf = globalThis.perf_hooks.performance;\n    }\n    else {\n        supported = false;\n    }\n    return supported;\n}\nexport function now() {\n    return isPerformanceSupported() ? perf.now() : Date.now();\n}\n","import { HOOK_PLUGIN_SETTINGS_SET } from './const.js';\nimport { now } from './time.js';\nexport class ApiProxy {\n    constructor(plugin, hook) {\n        this.target = null;\n        this.targetQueue = [];\n        this.onQueue = [];\n        this.plugin = plugin;\n        this.hook = hook;\n        const defaultSettings = {};\n        if (plugin.settings) {\n            for (const id in plugin.settings) {\n                const item = plugin.settings[id];\n                defaultSettings[id] = item.defaultValue;\n            }\n        }\n        const localSettingsSaveId = `__vue-devtools-plugin-settings__${plugin.id}`;\n        let currentSettings = Object.assign({}, defaultSettings);\n        try {\n            const raw = localStorage.getItem(localSettingsSaveId);\n            const data = JSON.parse(raw);\n            Object.assign(currentSettings, data);\n        }\n        catch (e) {\n            // noop\n        }\n        this.fallbacks = {\n            getSettings() {\n                return currentSettings;\n            },\n            setSettings(value) {\n                try {\n                    localStorage.setItem(localSettingsSaveId, JSON.stringify(value));\n                }\n                catch (e) {\n                    // noop\n                }\n                currentSettings = value;\n            },\n            now() {\n                return now();\n            },\n        };\n        if (hook) {\n            hook.on(HOOK_PLUGIN_SETTINGS_SET, (pluginId, value) => {\n                if (pluginId === this.plugin.id) {\n                    this.fallbacks.setSettings(value);\n                }\n            });\n        }\n        this.proxiedOn = new Proxy({}, {\n            get: (_target, prop) => {\n                if (this.target) {\n                    return this.target.on[prop];\n                }\n                else {\n                    return (...args) => {\n                        this.onQueue.push({\n                            method: prop,\n                            args,\n                        });\n                    };\n                }\n            },\n        });\n        this.proxiedTarget = new Proxy({}, {\n            get: (_target, prop) => {\n                if (this.target) {\n                    return this.target[prop];\n                }\n                else if (prop === 'on') {\n                    return this.proxiedOn;\n                }\n                else if (Object.keys(this.fallbacks).includes(prop)) {\n                    return (...args) => {\n                        this.targetQueue.push({\n                            method: prop,\n                            args,\n                            resolve: () => { },\n                        });\n                        return this.fallbacks[prop](...args);\n                    };\n                }\n                else {\n                    return (...args) => {\n                        return new Promise((resolve) => {\n                            this.targetQueue.push({\n                                method: prop,\n                                args,\n                                resolve,\n                            });\n                        });\n                    };\n                }\n            },\n        });\n    }\n    async setRealTarget(target) {\n        this.target = target;\n        for (const item of this.onQueue) {\n            this.target.on[item.method](...item.args);\n        }\n        for (const item of this.targetQueue) {\n            item.resolve(await this.target[item.method](...item.args));\n        }\n    }\n}\n","import { getDevtoolsGlobalHook, getTarget, isProxyAvailable } from './env.js';\nimport { HOOK_SETUP } from './const.js';\nimport { ApiProxy } from './proxy.js';\nexport * from './api/index.js';\nexport * from './plugin.js';\nexport * from './time.js';\nexport function setupDevtoolsPlugin(pluginDescriptor, setupFn) {\n    const descriptor = pluginDescriptor;\n    const target = getTarget();\n    const hook = getDevtoolsGlobalHook();\n    const enableProxy = isProxyAvailable && descriptor.enableEarlyProxy;\n    if (hook && (target.__VUE_DEVTOOLS_PLUGIN_API_AVAILABLE__ || !enableProxy)) {\n        hook.emit(HOOK_SETUP, pluginDescriptor, setupFn);\n    }\n    else {\n        const proxy = enableProxy ? new ApiProxy(descriptor, hook) : null;\n        const list = target.__VUE_DEVTOOLS_PLUGINS__ = target.__VUE_DEVTOOLS_PLUGINS__ || [];\n        list.push({\n            pluginDescriptor: descriptor,\n            setupFn,\n            proxy,\n        });\n        if (proxy) {\n            setupFn(proxy.proxiedTarget);\n        }\n    }\n}\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".bx--btn.bx--btn--icon-only.bx--tooltip__trigger:before,.bx--btn.bx--btn--icon-only.bx--tooltip__trigger:focus .bx--assistive-text,.multiple-small-details .bx--btn.bx--btn--icon-only.bx--tooltip__trigger:hover .bx--assistive-text{visibility:hidden}.vm--modal{z-index:1001}.img-magnifier-container-multiple{position:relative;box-sizing:border-box;mix-blend-mode:darken;max-height:300px;max-width:300px;margin:0 auto}.img-magnifier-glass{position:absolute;border:1px solid #000;cursor:none;width:60px;height:60px;background-repeat:no-repeat}.zoom-options{cursor:pointer;margin-left:15px;margin-top:30px;display:flex;margin-bottom:10px}.multiple-small-details .bx--checkbox-label-text{font-size:14px!important}.small-details-results{display:flex;overflow-x:auto;width:100%;overflow-y:hidden}.small-details-image{width:300px;height:300px}.myimage{max-height:100%;padding:10px;width:100%}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","export * from \"-!../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PrintTechniqueImage.vue?vue&type=style&index=0&id=0979e9db&prod&lang=scss&scoped=true\"","'use strict';\nvar fails = require('../internals/fails');\n\nmodule.exports = !fails(function () {\n  // eslint-disable-next-line es/no-function-prototype-bind -- safe\n  var test = (function () { /* empty */ }).bind();\n  // eslint-disable-next-line no-prototype-builtins -- safe\n  return typeof test != 'function' || test.hasOwnProperty('prototype');\n});\n","'use strict';\n\nvar getSideChannel = require('side-channel');\nvar utils = require('./utils');\nvar formats = require('./formats');\nvar has = Object.prototype.hasOwnProperty;\n\nvar arrayPrefixGenerators = {\n    brackets: function brackets(prefix) {\n        return prefix + '[]';\n    },\n    comma: 'comma',\n    indices: function indices(prefix, key) {\n        return prefix + '[' + key + ']';\n    },\n    repeat: function repeat(prefix) {\n        return prefix;\n    }\n};\n\nvar isArray = Array.isArray;\nvar push = Array.prototype.push;\nvar pushToArray = function (arr, valueOrArray) {\n    push.apply(arr, isArray(valueOrArray) ? valueOrArray : [valueOrArray]);\n};\n\nvar toISO = Date.prototype.toISOString;\n\nvar defaultFormat = formats['default'];\nvar defaults = {\n    addQueryPrefix: false,\n    allowDots: false,\n    allowEmptyArrays: false,\n    arrayFormat: 'indices',\n    charset: 'utf-8',\n    charsetSentinel: false,\n    delimiter: '&',\n    encode: true,\n    encodeDotInKeys: false,\n    encoder: utils.encode,\n    encodeValuesOnly: false,\n    format: defaultFormat,\n    formatter: formats.formatters[defaultFormat],\n    // deprecated\n    indices: false,\n    serializeDate: function serializeDate(date) {\n        return toISO.call(date);\n    },\n    skipNulls: false,\n    strictNullHandling: false\n};\n\nvar isNonNullishPrimitive = function isNonNullishPrimitive(v) {\n    return typeof v === 'string'\n        || typeof v === 'number'\n        || typeof v === 'boolean'\n        || typeof v === 'symbol'\n        || typeof v === 'bigint';\n};\n\nvar sentinel = {};\n\nvar stringify = function stringify(\n    object,\n    prefix,\n    generateArrayPrefix,\n    commaRoundTrip,\n    allowEmptyArrays,\n    strictNullHandling,\n    skipNulls,\n    encodeDotInKeys,\n    encoder,\n    filter,\n    sort,\n    allowDots,\n    serializeDate,\n    format,\n    formatter,\n    encodeValuesOnly,\n    charset,\n    sideChannel\n) {\n    var obj = object;\n\n    var tmpSc = sideChannel;\n    var step = 0;\n    var findFlag = false;\n    while ((tmpSc = tmpSc.get(sentinel)) !== void undefined && !findFlag) {\n        // Where object last appeared in the ref tree\n        var pos = tmpSc.get(object);\n        step += 1;\n        if (typeof pos !== 'undefined') {\n            if (pos === step) {\n                throw new RangeError('Cyclic object value');\n            } else {\n                findFlag = true; // Break while\n            }\n        }\n        if (typeof tmpSc.get(sentinel) === 'undefined') {\n            step = 0;\n        }\n    }\n\n    if (typeof filter === 'function') {\n        obj = filter(prefix, obj);\n    } else if (obj instanceof Date) {\n        obj = serializeDate(obj);\n    } else if (generateArrayPrefix === 'comma' && isArray(obj)) {\n        obj = utils.maybeMap(obj, function (value) {\n            if (value instanceof Date) {\n                return serializeDate(value);\n            }\n            return value;\n        });\n    }\n\n    if (obj === null) {\n        if (strictNullHandling) {\n            return encoder && !encodeValuesOnly ? encoder(prefix, defaults.encoder, charset, 'key', format) : prefix;\n        }\n\n        obj = '';\n    }\n\n    if (isNonNullishPrimitive(obj) || utils.isBuffer(obj)) {\n        if (encoder) {\n            var keyValue = encodeValuesOnly ? prefix : encoder(prefix, defaults.encoder, charset, 'key', format);\n            return [formatter(keyValue) + '=' + formatter(encoder(obj, defaults.encoder, charset, 'value', format))];\n        }\n        return [formatter(prefix) + '=' + formatter(String(obj))];\n    }\n\n    var values = [];\n\n    if (typeof obj === 'undefined') {\n        return values;\n    }\n\n    var objKeys;\n    if (generateArrayPrefix === 'comma' && isArray(obj)) {\n        // we need to join elements in\n        if (encodeValuesOnly && encoder) {\n            obj = utils.maybeMap(obj, encoder);\n        }\n        objKeys = [{ value: obj.length > 0 ? obj.join(',') || null : void undefined }];\n    } else if (isArray(filter)) {\n        objKeys = filter;\n    } else {\n        var keys = Object.keys(obj);\n        objKeys = sort ? keys.sort(sort) : keys;\n    }\n\n    var encodedPrefix = encodeDotInKeys ? prefix.replace(/\\./g, '%2E') : prefix;\n\n    var adjustedPrefix = commaRoundTrip && isArray(obj) && obj.length === 1 ? encodedPrefix + '[]' : encodedPrefix;\n\n    if (allowEmptyArrays && isArray(obj) && obj.length === 0) {\n        return adjustedPrefix + '[]';\n    }\n\n    for (var j = 0; j < objKeys.length; ++j) {\n        var key = objKeys[j];\n        var value = typeof key === 'object' && typeof key.value !== 'undefined' ? key.value : obj[key];\n\n        if (skipNulls && value === null) {\n            continue;\n        }\n\n        var encodedKey = allowDots && encodeDotInKeys ? key.replace(/\\./g, '%2E') : key;\n        var keyPrefix = isArray(obj)\n            ? typeof generateArrayPrefix === 'function' ? generateArrayPrefix(adjustedPrefix, encodedKey) : adjustedPrefix\n            : adjustedPrefix + (allowDots ? '.' + encodedKey : '[' + encodedKey + ']');\n\n        sideChannel.set(object, step);\n        var valueSideChannel = getSideChannel();\n        valueSideChannel.set(sentinel, sideChannel);\n        pushToArray(values, stringify(\n            value,\n            keyPrefix,\n            generateArrayPrefix,\n            commaRoundTrip,\n            allowEmptyArrays,\n            strictNullHandling,\n            skipNulls,\n            encodeDotInKeys,\n            generateArrayPrefix === 'comma' && encodeValuesOnly && isArray(obj) ? null : encoder,\n            filter,\n            sort,\n            allowDots,\n            serializeDate,\n            format,\n            formatter,\n            encodeValuesOnly,\n            charset,\n            valueSideChannel\n        ));\n    }\n\n    return values;\n};\n\nvar normalizeStringifyOptions = function normalizeStringifyOptions(opts) {\n    if (!opts) {\n        return defaults;\n    }\n\n    if (typeof opts.allowEmptyArrays !== 'undefined' && typeof opts.allowEmptyArrays !== 'boolean') {\n        throw new TypeError('`allowEmptyArrays` option can only be `true` or `false`, when provided');\n    }\n\n    if (typeof opts.encodeDotInKeys !== 'undefined' && typeof opts.encodeDotInKeys !== 'boolean') {\n        throw new TypeError('`encodeDotInKeys` option can only be `true` or `false`, when provided');\n    }\n\n    if (opts.encoder !== null && typeof opts.encoder !== 'undefined' && typeof opts.encoder !== 'function') {\n        throw new TypeError('Encoder has to be a function.');\n    }\n\n    var charset = opts.charset || defaults.charset;\n    if (typeof opts.charset !== 'undefined' && opts.charset !== 'utf-8' && opts.charset !== 'iso-8859-1') {\n        throw new TypeError('The charset option must be either utf-8, iso-8859-1, or undefined');\n    }\n\n    var format = formats['default'];\n    if (typeof opts.format !== 'undefined') {\n        if (!has.call(formats.formatters, opts.format)) {\n            throw new TypeError('Unknown format option provided.');\n        }\n        format = opts.format;\n    }\n    var formatter = formats.formatters[format];\n\n    var filter = defaults.filter;\n    if (typeof opts.filter === 'function' || isArray(opts.filter)) {\n        filter = opts.filter;\n    }\n\n    var arrayFormat;\n    if (opts.arrayFormat in arrayPrefixGenerators) {\n        arrayFormat = opts.arrayFormat;\n    } else if ('indices' in opts) {\n        arrayFormat = opts.indices ? 'indices' : 'repeat';\n    } else {\n        arrayFormat = defaults.arrayFormat;\n    }\n\n    if ('commaRoundTrip' in opts && typeof opts.commaRoundTrip !== 'boolean') {\n        throw new TypeError('`commaRoundTrip` must be a boolean, or absent');\n    }\n\n    var allowDots = typeof opts.allowDots === 'undefined' ? opts.encodeDotInKeys === true ? true : defaults.allowDots : !!opts.allowDots;\n\n    return {\n        addQueryPrefix: typeof opts.addQueryPrefix === 'boolean' ? opts.addQueryPrefix : defaults.addQueryPrefix,\n        allowDots: allowDots,\n        allowEmptyArrays: typeof opts.allowEmptyArrays === 'boolean' ? !!opts.allowEmptyArrays : defaults.allowEmptyArrays,\n        arrayFormat: arrayFormat,\n        charset: charset,\n        charsetSentinel: typeof opts.charsetSentinel === 'boolean' ? opts.charsetSentinel : defaults.charsetSentinel,\n        commaRoundTrip: opts.commaRoundTrip,\n        delimiter: typeof opts.delimiter === 'undefined' ? defaults.delimiter : opts.delimiter,\n        encode: typeof opts.encode === 'boolean' ? opts.encode : defaults.encode,\n        encodeDotInKeys: typeof opts.encodeDotInKeys === 'boolean' ? opts.encodeDotInKeys : defaults.encodeDotInKeys,\n        encoder: typeof opts.encoder === 'function' ? opts.encoder : defaults.encoder,\n        encodeValuesOnly: typeof opts.encodeValuesOnly === 'boolean' ? opts.encodeValuesOnly : defaults.encodeValuesOnly,\n        filter: filter,\n        format: format,\n        formatter: formatter,\n        serializeDate: typeof opts.serializeDate === 'function' ? opts.serializeDate : defaults.serializeDate,\n        skipNulls: typeof opts.skipNulls === 'boolean' ? opts.skipNulls : defaults.skipNulls,\n        sort: typeof opts.sort === 'function' ? opts.sort : null,\n        strictNullHandling: typeof opts.strictNullHandling === 'boolean' ? opts.strictNullHandling : defaults.strictNullHandling\n    };\n};\n\nmodule.exports = function (object, opts) {\n    var obj = object;\n    var options = normalizeStringifyOptions(opts);\n\n    var objKeys;\n    var filter;\n\n    if (typeof options.filter === 'function') {\n        filter = options.filter;\n        obj = filter('', obj);\n    } else if (isArray(options.filter)) {\n        filter = options.filter;\n        objKeys = filter;\n    }\n\n    var keys = [];\n\n    if (typeof obj !== 'object' || obj === null) {\n        return '';\n    }\n\n    var generateArrayPrefix = arrayPrefixGenerators[options.arrayFormat];\n    var commaRoundTrip = generateArrayPrefix === 'comma' && options.commaRoundTrip;\n\n    if (!objKeys) {\n        objKeys = Object.keys(obj);\n    }\n\n    if (options.sort) {\n        objKeys.sort(options.sort);\n    }\n\n    var sideChannel = getSideChannel();\n    for (var i = 0; i < objKeys.length; ++i) {\n        var key = objKeys[i];\n\n        if (options.skipNulls && obj[key] === null) {\n            continue;\n        }\n        pushToArray(keys, stringify(\n            obj[key],\n            key,\n            generateArrayPrefix,\n            commaRoundTrip,\n            options.allowEmptyArrays,\n            options.strictNullHandling,\n            options.skipNulls,\n            options.encodeDotInKeys,\n            options.encode ? options.encoder : null,\n            options.filter,\n            options.sort,\n            options.allowDots,\n            options.serializeDate,\n            options.format,\n            options.formatter,\n            options.encodeValuesOnly,\n            options.charset,\n            sideChannel\n        ));\n    }\n\n    var joined = keys.join(options.delimiter);\n    var prefix = options.addQueryPrefix === true ? '?' : '';\n\n    if (options.charsetSentinel) {\n        if (options.charset === 'iso-8859-1') {\n            // encodeURIComponent('&#10003;'), the \"numeric entity\" representation of a checkmark\n            prefix += 'utf8=%26%2310003%3B&';\n        } else {\n            // encodeURIComponent('✓')\n            prefix += 'utf8=%E2%9C%93&';\n        }\n    }\n\n    return joined.length > 0 ? prefix + joined : '';\n};\n","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./ManualCheck.vue?vue&type=style&index=1&id=4b35cd64&prod&lang=scss\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"bb253000\", content, shadowRoot)\n};","'use strict';\n\n/** @type {import('./eval')} */\nmodule.exports = EvalError;\n","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./MethodSelectorTile.vue?vue&type=style&index=0&id=28284726&prod&lang=scss\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"1c43a370\", content, shadowRoot)\n};","import { defineStore } from 'pinia';\r\nimport cloneDeep from 'lodash.clonedeep';\r\nimport { StateSnapshot } from '@/typings/history';\r\n\r\nexport const useStore = defineStore({\r\n  id: 'history',\r\n\r\n  state: () => {\r\n    return {\r\n      pointer: -1,\r\n      history: [] as StateSnapshot[],\r\n    };\r\n  },\r\n  getters: {\r\n    isUndoPossible(): boolean {\r\n      return this.history.length > 0 && this.pointer > 0;\r\n    },\r\n    isRedoPossible(): boolean {\r\n      return this.history.length > 0 && this.pointer < this.history.length - 1;\r\n    },\r\n  },\r\n  actions: {\r\n    recordHistory(snapshot: StateSnapshot) {\r\n      if (this.pointer !== this.history.length - 1) {\r\n        this.history = this.history.splice(0, this.pointer + 1);\r\n      }\r\n      this.history.push(snapshot);\r\n      this.pointer += 1;\r\n    },\r\n    undo(): StateSnapshot | null {\r\n      if (this.pointer >= 0) {\r\n        this.pointer -= 1;\r\n        return this.history[this.pointer];\r\n      }\r\n      return null;\r\n    },\r\n    redo(): StateSnapshot | null {\r\n      if (this.pointer < this.history.length) {\r\n        this.pointer += 1;\r\n        return this.history[this.pointer];\r\n      }\r\n      return null;\r\n    },\r\n  },\r\n});\r\n","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../node_modules/css-loader/dist/cjs.js??ref--7-oneOf-1-1!../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../node_modules/postcss-loader/src/index.js??ref--7-oneOf-1-2!../../../node_modules/postcss-loader/src/index.js??ref--7-oneOf-1-3!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./QuestionAboutWhite.vue?vue&type=style&index=0&id=04338b07&prod&scoped=true&lang=css\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"0450d516\", content, shadowRoot)\n};","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./ImagePanelOptions.vue?vue&type=style&index=0&id=980f7c3c&prod&lang=scss\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"3728b50e\", content, shadowRoot)\n};","'use strict';\n\nvar stringify = require('./stringify');\nvar parse = require('./parse');\nvar formats = require('./formats');\n\nmodule.exports = {\n    formats: formats,\n    parse: parse,\n    stringify: stringify\n};\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".container[data-v-4edcd140]{flex-wrap:wrap;margin-top:7px}.container[data-v-4edcd140],.toggler[data-v-4edcd140]{height:40px;display:flex;width:100%}.toggler[data-v-4edcd140]{position:relative;align-items:center;border-bottom:1px solid #8d8d8d;background-color:#f4f4f4;color:#525252;cursor:pointer}.toggler__label[data-v-4edcd140]{font-size:14px}.toggler__search-box[data-v-4edcd140]{background-color:inherit;height:40px;width:300px;color:#525252;font-size:14px;width:100%;padding-left:10px}.toggler__search-box[data-v-4edcd140],.toggler__search-box[data-v-4edcd140]:active{border:none;outline:none}.toggler[data-v-4edcd140]:hover{background-color:#e5e5e5;color:#161616}.toggler--green-outline[data-v-4edcd140]{height:40px;display:flex;position:relative;align-items:center;width:100%;outline:2px solid #24a148;outline-offset:-2px}.dropdown-items[data-v-4edcd140]{width:100%;padding:0;height:-moz-fit-content;height:fit-content;overflow-y:auto;max-height:200px;background-color:#f4f4f4;list-style-type:none;z-index:1000;box-shadow:0 2px 6px rgba(0,0,0,.3)}.dropdown-item[data-v-4edcd140]{display:flex;align-items:center;height:40px;border-bottom:1px solid #8d8d8d;color:#525252;cursor:pointer}.dropdown-item__name[data-v-4edcd140]{font-size:14px}.dropdown-item[data-v-4edcd140]:hover{background-color:#e5e5e5}.toggler-dark[data-v-4edcd140]{display:flex;position:relative;align-items:center;height:40px;width:100%;border-bottom:1px solid #8d8d8d;background-color:#393939;color:#fff;cursor:pointer}.toggler-dark__label[data-v-4edcd140]{font-size:14px}.toggler-dark__search-box[data-v-4edcd140]{border:none;outline:none;background-color:inherit;height:40px;width:300px;color:#fff;font-size:14px;width:100%;padding-left:10px}.toggler-dark__search-box[data-v-4edcd140]:active{border:none;outline:none}.toggler-dark[data-v-4edcd140]:hover{background-color:#595959;color:#fff}.toggler-dark--green-outline[data-v-4edcd140]{height:40px;display:flex;position:relative;align-items:center;width:100%;outline:2px solid #24a148;outline-offset:-2px}.dropdown-items-dark[data-v-4edcd140]{width:100%;padding:0;height:-moz-fit-content;height:fit-content;overflow-y:auto;max-height:200px;background-color:#393939;list-style-type:none;z-index:1000;box-shadow:0 2px 6px rgba(0,0,0,.3)}.dropdown-item-dark[data-v-4edcd140]{display:flex;align-items:center;height:40px;border-bottom:1px solid #525252;color:#fff;cursor:pointer}.dropdown-item-dark__name[data-v-4edcd140]{font-size:14px}.dropdown-item-dark[data-v-4edcd140]:hover{background-color:#595959}.select-container[data-v-4edcd140]:focus{outline:none}.arrow[data-v-4edcd140]{margin-left:auto;margin-right:17px}.oval[data-v-4edcd140]{margin:0 15px}.oval[data-v-4edcd140],.oval-dark[data-v-4edcd140]{display:flex;width:25px;height:25px;border-radius:50%}.oval-dark[data-v-4edcd140]{margin:0 5px}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","exports.nextTick = function nextTick(fn) {\n    var args = Array.prototype.slice.call(arguments);\n    args.shift();\n    setTimeout(function () {\n        fn.apply(null, args);\n    }, 0);\n};\n\nexports.platform = exports.arch = \nexports.execPath = exports.title = 'browser';\nexports.pid = 1;\nexports.browser = true;\nexports.env = {};\nexports.argv = [];\n\nexports.binding = function (name) {\n\tthrow new Error('No such module. (Possibly not yet loaded)')\n};\n\n(function () {\n    var cwd = '/';\n    var path;\n    exports.cwd = function () { return cwd };\n    exports.chdir = function (dir) {\n        if (!path) path = require('path');\n        cwd = path.resolve(dir, cwd);\n    };\n})();\n\nexports.exit = exports.kill = \nexports.umask = exports.dlopen = \nexports.uptime = exports.memoryUsage = \nexports.uvCounters = function() {};\nexports.features = {};\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".bx--dropdown{border-bottom:none}.bx--file__container{margin:1rem}.bx--file-browse-btn,.bx--file__selected-file,.bx--file__selected-file--invalid__wrapper{max-width:100%}.bx--file--label{margin-bottom:-.3rem}.file-uploader--disabled .bx--file__drop-container{border:1px dashed #c6c6c6}.file-uploader--disabled .bx--file-browse-btn{color:#c6c6c6;transition:none}.file-uploader--disabled .bx--file-browse-btn:focus,.file-uploader--disabled .bx--file-browse-btn:hover{color:#c6c6c6;text-decoration:none;cursor:no-drop;outline:none}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","export * from \"-!../../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./ImagePanelOptions.vue?vue&type=style&index=0&id=980f7c3c&prod&lang=scss\"","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".notification__toast[data-v-14695db1]{width:280px;box-shadow:none;height:114px;margin-top:1px;text-align:left;border:1px solid var(--border-color)}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","'use strict';\nvar uncurryThis = require('../internals/function-uncurry-this');\nvar fails = require('../internals/fails');\nvar classof = require('../internals/classof-raw');\n\nvar $Object = Object;\nvar split = uncurryThis(''.split);\n\n// fallback for non-array-like ES3 and non-enumerable old V8 strings\nmodule.exports = fails(function () {\n  // throws an error in rhino, see https://github.com/mozilla/rhino/issues/346\n  // eslint-disable-next-line no-prototype-builtins -- safe\n  return !$Object('z').propertyIsEnumerable(0);\n}) ? function (it) {\n  return classof(it) === 'String' ? split(it, '') : $Object(it);\n} : $Object;\n","import { createApi } from '../http/http-common';\r\nimport axios, { AxiosResponse } from 'axios';\r\nimport {\r\n  ArtworkResultItem,\r\n  CustomerTag,\r\n  PaggedCollection,\r\n  UpdateCustomerArtwork,\r\n} from '@/web-components/logo-library/typings';\r\nimport qs from 'qs';\r\nimport {\r\n  ApprovalCommand,\r\n  RejectionCommand,\r\n} from '@/libs/proof-approval/typings';\r\nimport { Personalization } from '@midocean/webapps-shared-domain';\r\nimport {\r\n  ArtworkResult,\r\n  EnrichPositionWithArtworkForm,\r\n  VFileUploaderFile,\r\n} from '@/components/w2pFileUploader';\r\nimport {\r\n  authHandler,\r\n  validTokenHandler,\r\n  invalidTokenHandler,\r\n} from './interceptor-handlers/AuthHandler';\r\nimport {\r\n  ProofPreview,\r\n  SyncWithSAPCommand,\r\n} from '@/libs/proof-approval/typings/common/Personalization';\r\nimport {\r\n  PdfPreviewForm,\r\n  UpdatePersonalizationCommand,\r\n} from '@/web-components/import-wizard/typings/common/createPersonalization';\r\n\r\nimport {\r\n  CreatePersonalizationForm,\r\n  PersonalizationArtwork,\r\n  Order,\r\n} from '@midocean/webapps-shared-domain';\r\nimport { LocaleMessageObject } from 'vue-i18n';\r\n\r\nconst customersAPI = createApi({\r\n  BASE_URL: process.env.VUE_APP_CUSTOMERS_BASE_URL,\r\n});\r\n// Setup interceptors for the Customers API\r\ncustomersAPI.interceptors.request.use(authHandler, function (error) {\r\n  return Promise.reject(error);\r\n});\r\n\r\ncustomersAPI.interceptors.response.use(validTokenHandler, invalidTokenHandler);\r\n\r\n// customersAPI.interceptors.response.use(function (response) {\r\n//   // Any status code that lie within the range of 2xx cause this function to trigger\r\n//   return response;\r\n// }, ErrorHandler);\r\n\r\nexport default {\r\n  //#region Working with CustomerArtworks\r\n  getAll({\r\n    customerId,\r\n    searchBy,\r\n    page = 1,\r\n    pageSize = 8,\r\n  }: {\r\n    customerId: string;\r\n    searchBy: { title?: string; tags?: string[] };\r\n    page: number;\r\n    pageSize: number;\r\n  }): Promise<AxiosResponse<PaggedCollection>> {\r\n    return customersAPI.get(`/customerArtworks`, {\r\n      params: {\r\n        externalCustomerId: customerId,\r\n        tags: searchBy.tags,\r\n        title: searchBy.title,\r\n        page,\r\n        pageSize,\r\n      },\r\n      paramsSerializer: (params) => {\r\n        return qs.stringify(params, {\r\n          indices: false,\r\n        });\r\n      },\r\n    });\r\n  },\r\n\r\n  getById(id: string): Promise<AxiosResponse<ArtworkResultItem>> {\r\n    return customersAPI.get(`/customerArtworks/${id}`);\r\n  },\r\n\r\n  getTranslations(\r\n    languageCode: string\r\n  ): Promise<AxiosResponse<LocaleMessageObject>> {\r\n    return customersAPI.get(`/translationsjson/${languageCode}`);\r\n  },\r\n\r\n  update(\r\n    id: string,\r\n    data: UpdateCustomerArtwork\r\n  ): Promise<AxiosResponse<void>> {\r\n    return customersAPI.patch(`customerArtworks/${id}`, data);\r\n  },\r\n\r\n  delete(id: string): Promise<AxiosResponse<void>> {\r\n    return customersAPI.delete(`customerArtworks/${id}`);\r\n  },\r\n  //#endregion\r\n\r\n  //#region Working with CustomerTags\r\n  getTags(customerId: string): Promise<AxiosResponse<CustomerTag[]>> {\r\n    return customersAPI.get(`/customerTags`, {\r\n      params: {\r\n        customerId,\r\n      },\r\n    });\r\n  },\r\n  //#endregion\r\n\r\n  //#region Working with PersonalizationArtworks\r\n  createDraftPersonalizationArtwork(\r\n    customerArtworkId: string\r\n  ): Promise<AxiosResponse<PersonalizationArtwork>> {\r\n    return customersAPI.post(`/personalizationArtwork`, {\r\n      customerArtworkId,\r\n    });\r\n  },\r\n  //#endregion\r\n\r\n  //#region Working with Personalizations\r\n  getPersonalization(id: string): Promise<AxiosResponse<Personalization>> {\r\n    return customersAPI.get(`/personalizations/${id}?isEsko=false`);\r\n  },\r\n\r\n  submitPersonalization(\r\n    files: File[],\r\n    variantFiles: File[],\r\n    smallDetailsFiles: File[],\r\n    textFiles: File[],\r\n    personalizationForm: CreatePersonalizationForm\r\n  ): Promise<AxiosResponse<Personalization>> {\r\n    const formData = new FormData();\r\n\r\n    for (const file of files) {\r\n      formData.append('files', file, file.name);\r\n    }\r\n\r\n    for (const file of variantFiles) {\r\n      formData.append('variantFiles', file, file.name);\r\n    }\r\n\r\n    if (smallDetailsFiles.length > 0) {\r\n      for (const file of smallDetailsFiles) {\r\n        formData.append('smallDetailsFiles', file, file.name);\r\n      }\r\n    }\r\n\r\n    if (textFiles.length > 0) {\r\n      for (const file of textFiles) {\r\n        formData.append('textFiles', file, file.name);\r\n      }\r\n    }\r\n\r\n    formData.append('form', JSON.stringify(personalizationForm));\r\n\r\n    console.log('personalizationForm', JSON.stringify(personalizationForm));\r\n\r\n    return customersAPI.post('/personalizations', formData, {\r\n      headers: {\r\n        'Content-type': 'multipart/form-data',\r\n      },\r\n    });\r\n  },\r\n\r\n  generateProofPreview(\r\n    files: File[],\r\n    variantFiles: File[],\r\n    smallDetailsFiles: File[],\r\n    textFiles: File[],\r\n    form: PdfPreviewForm\r\n  ): Promise<AxiosResponse<ProofPreview>> {\r\n    const formData = new FormData();\r\n\r\n    for (const file of files) {\r\n      formData.append('files', file, file.name);\r\n    }\r\n\r\n    for (const file of textFiles) {\r\n      formData.append('textFiles', file, file.name);\r\n    }\r\n\r\n    for (const file of variantFiles) {\r\n      formData.append('variantFiles', file, file.name);\r\n    }\r\n\r\n    if (smallDetailsFiles.length > 0) {\r\n      for (const file of smallDetailsFiles) {\r\n        formData.append('smallDetailsFiles', file, file.name);\r\n      }\r\n    }\r\n\r\n    formData.append('form', JSON.stringify(form));\r\n\r\n    return customersAPI.post(\r\n      '/personalizations/generateProofPreview',\r\n      formData,\r\n      {\r\n        headers: {\r\n          'Content-type': 'multipart/form-data',\r\n        },\r\n      }\r\n    );\r\n  },\r\n\r\n  completePersonalization(\r\n    personalizationId: string\r\n  ): Promise<AxiosResponse<void>> {\r\n    return customersAPI.post(`/personalizations/${personalizationId}/Complete`);\r\n  },\r\n\r\n  updatePersonalization(\r\n    files: File[],\r\n    variantFiles: File[],\r\n    smallDetailsFiles: File[],\r\n    textFiles: File[],\r\n    command: UpdatePersonalizationCommand,\r\n    personalizationId: string,\r\n    proofId: string\r\n  ): Promise<AxiosResponse<Personalization>> {\r\n    const formData = new FormData();\r\n\r\n    for (const file of files) {\r\n      formData.append('files', file, file.name);\r\n    }\r\n\r\n    for (const file of variantFiles) {\r\n      formData.append('variantFiles', file, file.name);\r\n    }\r\n\r\n    for (const file of textFiles) {\r\n      formData.append('textFiles', file, file.name);\r\n    }\r\n\r\n    for (const file of smallDetailsFiles) {\r\n      formData.append('smallDetailsFiles', file, file.name);\r\n    }\r\n\r\n    formData.append('command', JSON.stringify(command));\r\n\r\n    return customersAPI.put(\r\n      `/personalizations/${personalizationId}/proofs/${proofId}`,\r\n      formData,\r\n      {\r\n        headers: {\r\n          'Content-type': 'multipart/form-data',\r\n        },\r\n      }\r\n    );\r\n  },\r\n\r\n  syncWithSAP(\r\n    personalizationId: string,\r\n    command: SyncWithSAPCommand,\r\n    files: VFileUploaderFile[]\r\n  ): Promise<AxiosResponse<void>> {\r\n    const formData = new FormData();\r\n\r\n    if (files.length > 0) {\r\n      files.forEach((file, index) => {\r\n        const extension = file.file?.name?.split('.')[1] || 'txt';\r\n        formData.append(\r\n          'files',\r\n          file.file,\r\n          `additional-file-${index + 1}.${extension}`\r\n        );\r\n      });\r\n    }\r\n    formData.append('command', JSON.stringify(command));\r\n\r\n    return customersAPI.post(\r\n      `/personalizations/${personalizationId}/SyncWithSAP`,\r\n      formData,\r\n      {\r\n        headers: {\r\n          'Content-type': 'multipart/form-data',\r\n        },\r\n      }\r\n    );\r\n  },\r\n\r\n  toggleCommunication(\r\n    personalizationId: string,\r\n    setCommunicationToCC: boolean\r\n  ): Promise<AxiosResponse<void>> {\r\n    return customersAPI.post(\r\n      `/personalizations/${personalizationId}/CommunicationToCC?setCommunicationToCC=${setCommunicationToCC}`\r\n    );\r\n  },\r\n\r\n  createPersonalization(\r\n    artworkResults: ArtworkResult[],\r\n    files: VFileUploaderFile[],\r\n    smallDetailsFiles: VFileUploaderFile[],\r\n    data: CreatePersonalizationForm\r\n  ): Promise<AxiosResponse<Personalization>> {\r\n    const formData = new FormData();\r\n\r\n    for (let i = 0; i < files.length; i++) {\r\n      formData.append(\r\n        'files',\r\n        files[i].file,\r\n        `${artworkResults[i].personalizationArtworkId}-${files[i].file.name}`\r\n      );\r\n    }\r\n\r\n    for (let i = 0; i < smallDetailsFiles.length; i++) {\r\n      formData.append(\r\n        'smallDetailsFiles',\r\n        smallDetailsFiles[i].file,\r\n        smallDetailsFiles[i].file.name\r\n      );\r\n    }\r\n\r\n    formData.append('form', JSON.stringify(data));\r\n\r\n    return customersAPI.post('/personalizations', formData, {\r\n      headers: {\r\n        'Content-type': 'multipart/form-data',\r\n      },\r\n    });\r\n  },\r\n\r\n  createFullDesignPersonalization(\r\n    file: VFileUploaderFile,\r\n    data: CreatePersonalizationForm\r\n  ): Promise<AxiosResponse<Personalization>> {\r\n    const formData = new FormData();\r\n\r\n    formData.append('file', file.file);\r\n    formData.append('json', JSON.stringify(data));\r\n\r\n    return customersAPI.post('/personalizations/FullDesign', formData, {\r\n      headers: {\r\n        'Content-type': 'multipart/form-data',\r\n      },\r\n    });\r\n  },\r\n\r\n  addArtwork(\r\n    personalizationId: string,\r\n    proofId: string,\r\n    positionCode: string,\r\n    form: EnrichPositionWithArtworkForm\r\n  ): Promise<AxiosResponse<Personalization>> {\r\n    return customersAPI.post(\r\n      `/personalizations/${personalizationId}/proofs/${proofId}/printpositions/${positionCode}/Artworks`,\r\n      form\r\n    );\r\n  },\r\n\r\n  approveProof(\r\n    personalizationId: string,\r\n    proofId: string,\r\n    command: ApprovalCommand\r\n  ): Promise<AxiosResponse<Personalization>> {\r\n    return customersAPI.post(\r\n      `personalizations/${personalizationId}/proofs/${proofId}/Approve`,\r\n      command\r\n    );\r\n  },\r\n  rejectProof(\r\n    personalizationId: string,\r\n    proofId: string,\r\n    command: RejectionCommand,\r\n    artworks: VFileUploaderFile[],\r\n    additionalFiles: VFileUploaderFile[]\r\n  ): Promise<AxiosResponse<Personalization>> {\r\n    const formData = new FormData();\r\n\r\n    if (artworks.length > 0) {\r\n      artworks.forEach((file, index) => {\r\n        formData.append('files', file?.file, `artwork-${file?.file.name}`);\r\n      });\r\n    }\r\n    if (additionalFiles.length > 0) {\r\n      additionalFiles.forEach((file, index) => {\r\n        const extension = file.file?.name?.split('.')[1] || 'txt';\r\n        formData.append(\r\n          'files',\r\n          file.file,\r\n          `additional-file-${index + 1}.${extension}`\r\n        );\r\n      });\r\n    }\r\n    formData.append('form', JSON.stringify(command));\r\n    return customersAPI.post(\r\n      `personalizations/${personalizationId}/proofs/${proofId}/Reject`,\r\n      formData,\r\n      {\r\n        headers: {\r\n          'Content-type': 'multipart/form-data',\r\n        },\r\n      }\r\n    );\r\n  },\r\n  enrichProof(\r\n    personalizationId: string,\r\n    proofId: string,\r\n    positionCode: string,\r\n    artwork: unknown\r\n  ): Promise<AxiosResponse<Personalization>> {\r\n    return customersAPI.post(\r\n      `personalizations/${personalizationId}/proofs/${proofId}/printpositions/${positionCode}/Artworks`,\r\n      artwork\r\n    );\r\n  },\r\n  //#endregion\r\n\r\n  //#region Working with Orders\r\n  getOrder(orderNumber: string): Promise<AxiosResponse<Order>> {\r\n    return customersAPI.get(`/orders/${orderNumber}`);\r\n  },\r\n  //#endregion\r\n};\r\n","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./upload-logo.vue?vue&type=style&index=0&id=28b97faa&prod&lang=scss\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"4cf72cf8\", content, shadowRoot)\n};","'use strict';\nvar isObject = require('../internals/is-object');\nvar classof = require('../internals/classof-raw');\nvar wellKnownSymbol = require('../internals/well-known-symbol');\n\nvar MATCH = wellKnownSymbol('match');\n\n// `IsRegExp` abstract operation\n// https://tc39.es/ecma262/#sec-isregexp\nmodule.exports = function (it) {\n  var isRegExp;\n  return isObject(it) && ((isRegExp = it[MATCH]) !== undefined ? !!isRegExp : classof(it) === 'RegExp');\n};\n","'use strict';\n\nvar createError = require('./createError');\n\n/**\n * Resolve or reject a Promise based on response status.\n *\n * @param {Function} resolve A function that resolves the promise.\n * @param {Function} reject A function that rejects the promise.\n * @param {object} response The response.\n */\nmodule.exports = function settle(resolve, reject, response) {\n  var validateStatus = response.config.validateStatus;\n  if (!response.status || !validateStatus || validateStatus(response.status)) {\n    resolve(response);\n  } else {\n    reject(createError(\n      'Request failed with status code ' + response.status,\n      response.config,\n      null,\n      response.request,\n      response\n    ));\n  }\n};\n","'use strict';\n// `GetIteratorDirect(obj)` abstract operation\n// https://tc39.es/proposal-iterator-helpers/#sec-getiteratordirect\nmodule.exports = function (obj) {\n  return {\n    iterator: obj,\n    next: obj.next,\n    done: false\n  };\n};\n","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./SideBar.vue?vue&type=style&index=0&id=7a1df78e&prod&lang=scss\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"26c1b6b7\", content, shadowRoot)\n};","/**\n * lodash (Custom Build) <https://lodash.com/>\n * Build: `lodash modularize exports=\"npm\" -o ./`\n * Copyright jQuery Foundation and other contributors <https://jquery.org/>\n * Released under MIT license <https://lodash.com/license>\n * Based on Underscore.js 1.8.3 <http://underscorejs.org/LICENSE>\n * Copyright Jeremy Ashkenas, DocumentCloud and Investigative Reporters & Editors\n */\n\n/** Used as the `TypeError` message for \"Functions\" methods. */\nvar FUNC_ERROR_TEXT = 'Expected a function';\n\n/** Used as references for various `Number` constants. */\nvar MAX_SAFE_INTEGER = 9007199254740991;\n\n/** `Object#toString` result references. */\nvar argsTag = '[object Arguments]',\n    funcTag = '[object Function]',\n    genTag = '[object GeneratorFunction]';\n\n/** Detect free variable `global` from Node.js. */\nvar freeGlobal = typeof global == 'object' && global && global.Object === Object && global;\n\n/** Detect free variable `self`. */\nvar freeSelf = typeof self == 'object' && self && self.Object === Object && self;\n\n/** Used as a reference to the global object. */\nvar root = freeGlobal || freeSelf || Function('return this')();\n\n/**\n * A faster alternative to `Function#apply`, this function invokes `func`\n * with the `this` binding of `thisArg` and the arguments of `args`.\n *\n * @private\n * @param {Function} func The function to invoke.\n * @param {*} thisArg The `this` binding of `func`.\n * @param {Array} args The arguments to invoke `func` with.\n * @returns {*} Returns the result of `func`.\n */\nfunction apply(func, thisArg, args) {\n  switch (args.length) {\n    case 0: return func.call(thisArg);\n    case 1: return func.call(thisArg, args[0]);\n    case 2: return func.call(thisArg, args[0], args[1]);\n    case 3: return func.call(thisArg, args[0], args[1], args[2]);\n  }\n  return func.apply(thisArg, args);\n}\n\n/**\n * Appends the elements of `values` to `array`.\n *\n * @private\n * @param {Array} array The array to modify.\n * @param {Array} values The values to append.\n * @returns {Array} Returns `array`.\n */\nfunction arrayPush(array, values) {\n  var index = -1,\n      length = values.length,\n      offset = array.length;\n\n  while (++index < length) {\n    array[offset + index] = values[index];\n  }\n  return array;\n}\n\n/** Used for built-in method references. */\nvar objectProto = Object.prototype;\n\n/** Used to check objects for own properties. */\nvar hasOwnProperty = objectProto.hasOwnProperty;\n\n/**\n * Used to resolve the\n * [`toStringTag`](http://ecma-international.org/ecma-262/7.0/#sec-object.prototype.tostring)\n * of values.\n */\nvar objectToString = objectProto.toString;\n\n/** Built-in value references. */\nvar Symbol = root.Symbol,\n    propertyIsEnumerable = objectProto.propertyIsEnumerable,\n    spreadableSymbol = Symbol ? Symbol.isConcatSpreadable : undefined;\n\n/* Built-in method references for those with the same name as other `lodash` methods. */\nvar nativeMax = Math.max;\n\n/**\n * The base implementation of `_.flatten` with support for restricting flattening.\n *\n * @private\n * @param {Array} array The array to flatten.\n * @param {number} depth The maximum recursion depth.\n * @param {boolean} [predicate=isFlattenable] The function invoked per iteration.\n * @param {boolean} [isStrict] Restrict to values that pass `predicate` checks.\n * @param {Array} [result=[]] The initial result value.\n * @returns {Array} Returns the new flattened array.\n */\nfunction baseFlatten(array, depth, predicate, isStrict, result) {\n  var index = -1,\n      length = array.length;\n\n  predicate || (predicate = isFlattenable);\n  result || (result = []);\n\n  while (++index < length) {\n    var value = array[index];\n    if (depth > 0 && predicate(value)) {\n      if (depth > 1) {\n        // Recursively flatten arrays (susceptible to call stack limits).\n        baseFlatten(value, depth - 1, predicate, isStrict, result);\n      } else {\n        arrayPush(result, value);\n      }\n    } else if (!isStrict) {\n      result[result.length] = value;\n    }\n  }\n  return result;\n}\n\n/**\n * The base implementation of `_.rest` which doesn't validate or coerce arguments.\n *\n * @private\n * @param {Function} func The function to apply a rest parameter to.\n * @param {number} [start=func.length-1] The start position of the rest parameter.\n * @returns {Function} Returns the new function.\n */\nfunction baseRest(func, start) {\n  start = nativeMax(start === undefined ? (func.length - 1) : start, 0);\n  return function() {\n    var args = arguments,\n        index = -1,\n        length = nativeMax(args.length - start, 0),\n        array = Array(length);\n\n    while (++index < length) {\n      array[index] = args[start + index];\n    }\n    index = -1;\n    var otherArgs = Array(start + 1);\n    while (++index < start) {\n      otherArgs[index] = args[index];\n    }\n    otherArgs[start] = array;\n    return apply(func, this, otherArgs);\n  };\n}\n\n/**\n * Creates a `_.flow` or `_.flowRight` function.\n *\n * @private\n * @param {boolean} [fromRight] Specify iterating from right to left.\n * @returns {Function} Returns the new flow function.\n */\nfunction createFlow(fromRight) {\n  return baseRest(function(funcs) {\n    funcs = baseFlatten(funcs, 1);\n\n    var length = funcs.length,\n        index = length;\n\n    if (fromRight) {\n      funcs.reverse();\n    }\n    while (index--) {\n      if (typeof funcs[index] != 'function') {\n        throw new TypeError(FUNC_ERROR_TEXT);\n      }\n    }\n    return function() {\n      var index = 0,\n          result = length ? funcs[index].apply(this, arguments) : arguments[0];\n\n      while (++index < length) {\n        result = funcs[index].call(this, result);\n      }\n      return result;\n    };\n  });\n}\n\n/**\n * Checks if `value` is a flattenable `arguments` object or array.\n *\n * @private\n * @param {*} value The value to check.\n * @returns {boolean} Returns `true` if `value` is flattenable, else `false`.\n */\nfunction isFlattenable(value) {\n  return isArray(value) || isArguments(value) ||\n    !!(spreadableSymbol && value && value[spreadableSymbol]);\n}\n\n/**\n * Checks if `value` is likely an `arguments` object.\n *\n * @static\n * @memberOf _\n * @since 0.1.0\n * @category Lang\n * @param {*} value The value to check.\n * @returns {boolean} Returns `true` if `value` is an `arguments` object,\n *  else `false`.\n * @example\n *\n * _.isArguments(function() { return arguments; }());\n * // => true\n *\n * _.isArguments([1, 2, 3]);\n * // => false\n */\nfunction isArguments(value) {\n  // Safari 8.1 makes `arguments.callee` enumerable in strict mode.\n  return isArrayLikeObject(value) && hasOwnProperty.call(value, 'callee') &&\n    (!propertyIsEnumerable.call(value, 'callee') || objectToString.call(value) == argsTag);\n}\n\n/**\n * Checks if `value` is classified as an `Array` object.\n *\n * @static\n * @memberOf _\n * @since 0.1.0\n * @category Lang\n * @param {*} value The value to check.\n * @returns {boolean} Returns `true` if `value` is an array, else `false`.\n * @example\n *\n * _.isArray([1, 2, 3]);\n * // => true\n *\n * _.isArray(document.body.children);\n * // => false\n *\n * _.isArray('abc');\n * // => false\n *\n * _.isArray(_.noop);\n * // => false\n */\nvar isArray = Array.isArray;\n\n/**\n * Checks if `value` is array-like. A value is considered array-like if it's\n * not a function and has a `value.length` that's an integer greater than or\n * equal to `0` and less than or equal to `Number.MAX_SAFE_INTEGER`.\n *\n * @static\n * @memberOf _\n * @since 4.0.0\n * @category Lang\n * @param {*} value The value to check.\n * @returns {boolean} Returns `true` if `value` is array-like, else `false`.\n * @example\n *\n * _.isArrayLike([1, 2, 3]);\n * // => true\n *\n * _.isArrayLike(document.body.children);\n * // => true\n *\n * _.isArrayLike('abc');\n * // => true\n *\n * _.isArrayLike(_.noop);\n * // => false\n */\nfunction isArrayLike(value) {\n  return value != null && isLength(value.length) && !isFunction(value);\n}\n\n/**\n * This method is like `_.isArrayLike` except that it also checks if `value`\n * is an object.\n *\n * @static\n * @memberOf _\n * @since 4.0.0\n * @category Lang\n * @param {*} value The value to check.\n * @returns {boolean} Returns `true` if `value` is an array-like object,\n *  else `false`.\n * @example\n *\n * _.isArrayLikeObject([1, 2, 3]);\n * // => true\n *\n * _.isArrayLikeObject(document.body.children);\n * // => true\n *\n * _.isArrayLikeObject('abc');\n * // => false\n *\n * _.isArrayLikeObject(_.noop);\n * // => false\n */\nfunction isArrayLikeObject(value) {\n  return isObjectLike(value) && isArrayLike(value);\n}\n\n/**\n * Checks if `value` is classified as a `Function` object.\n *\n * @static\n * @memberOf _\n * @since 0.1.0\n * @category Lang\n * @param {*} value The value to check.\n * @returns {boolean} Returns `true` if `value` is a function, else `false`.\n * @example\n *\n * _.isFunction(_);\n * // => true\n *\n * _.isFunction(/abc/);\n * // => false\n */\nfunction isFunction(value) {\n  // The use of `Object#toString` avoids issues with the `typeof` operator\n  // in Safari 8-9 which returns 'object' for typed array and other constructors.\n  var tag = isObject(value) ? objectToString.call(value) : '';\n  return tag == funcTag || tag == genTag;\n}\n\n/**\n * Checks if `value` is a valid array-like length.\n *\n * **Note:** This method is loosely based on\n * [`ToLength`](http://ecma-international.org/ecma-262/7.0/#sec-tolength).\n *\n * @static\n * @memberOf _\n * @since 4.0.0\n * @category Lang\n * @param {*} value The value to check.\n * @returns {boolean} Returns `true` if `value` is a valid length, else `false`.\n * @example\n *\n * _.isLength(3);\n * // => true\n *\n * _.isLength(Number.MIN_VALUE);\n * // => false\n *\n * _.isLength(Infinity);\n * // => false\n *\n * _.isLength('3');\n * // => false\n */\nfunction isLength(value) {\n  return typeof value == 'number' &&\n    value > -1 && value % 1 == 0 && value <= MAX_SAFE_INTEGER;\n}\n\n/**\n * Checks if `value` is the\n * [language type](http://www.ecma-international.org/ecma-262/7.0/#sec-ecmascript-language-types)\n * of `Object`. (e.g. arrays, functions, objects, regexes, `new Number(0)`, and `new String('')`)\n *\n * @static\n * @memberOf _\n * @since 0.1.0\n * @category Lang\n * @param {*} value The value to check.\n * @returns {boolean} Returns `true` if `value` is an object, else `false`.\n * @example\n *\n * _.isObject({});\n * // => true\n *\n * _.isObject([1, 2, 3]);\n * // => true\n *\n * _.isObject(_.noop);\n * // => true\n *\n * _.isObject(null);\n * // => false\n */\nfunction isObject(value) {\n  var type = typeof value;\n  return !!value && (type == 'object' || type == 'function');\n}\n\n/**\n * Checks if `value` is object-like. A value is object-like if it's not `null`\n * and has a `typeof` result of \"object\".\n *\n * @static\n * @memberOf _\n * @since 4.0.0\n * @category Lang\n * @param {*} value The value to check.\n * @returns {boolean} Returns `true` if `value` is object-like, else `false`.\n * @example\n *\n * _.isObjectLike({});\n * // => true\n *\n * _.isObjectLike([1, 2, 3]);\n * // => true\n *\n * _.isObjectLike(_.noop);\n * // => false\n *\n * _.isObjectLike(null);\n * // => false\n */\nfunction isObjectLike(value) {\n  return !!value && typeof value == 'object';\n}\n\n/**\n * Creates a function that returns the result of invoking the given functions\n * with the `this` binding of the created function, where each successive\n * invocation is supplied the return value of the previous.\n *\n * @static\n * @memberOf _\n * @since 3.0.0\n * @category Util\n * @param {...(Function|Function[])} [funcs] The functions to invoke.\n * @returns {Function} Returns the new composite function.\n * @see _.flowRight\n * @example\n *\n * function square(n) {\n *   return n * n;\n * }\n *\n * var addSquare = _.flow([_.add, square]);\n * addSquare(1, 2);\n * // => 9\n */\nvar flow = createFlow();\n\nmodule.exports = flow;\n","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PrintTechnique.vue?vue&type=style&index=0&id=67639a9b&prod&lang=scss\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"026e62b4\", content, shadowRoot)\n};","'use strict';\nvar call = require('../internals/function-call');\nvar isCallable = require('../internals/is-callable');\nvar isObject = require('../internals/is-object');\n\nvar $TypeError = TypeError;\n\n// `OrdinaryToPrimitive` abstract operation\n// https://tc39.es/ecma262/#sec-ordinarytoprimitive\nmodule.exports = function (input, pref) {\n  var fn, val;\n  if (pref === 'string' && isCallable(fn = input.toString) && !isObject(val = call(fn, input))) return val;\n  if (isCallable(fn = input.valueOf) && !isObject(val = call(fn, input))) return val;\n  if (pref !== 'string' && isCallable(fn = input.toString) && !isObject(val = call(fn, input))) return val;\n  throw new $TypeError(\"Can't convert object to primitive value\");\n};\n","import { SmallDetailsPayload } from '@/typings';\r\nimport axios from 'axios';\r\nimport { format } from 'date-fns';\r\n\r\nexport const isValidExtension =\r\n  (allowedExtensions: string) =>\r\n  (ext: string): boolean =>\r\n    allowedExtensions.includes(ext);\r\n\r\nexport const isLowerThanMib =\r\n  (maxSize: number) =>\r\n  (size: number): boolean =>\r\n    size / 1024 / 1024 < maxSize;\r\n\r\nexport const isPercentageValue = (value: string | number): boolean =>\r\n  typeof value === 'string' && value.indexOf('%') > -1;\r\n\r\nexport const mm2px = (mmValue: number, dpi: number): number => {\r\n  return mmValue * (dpi / 25.4);\r\n};\r\n\r\nexport const px2mm = (pxValue: number, dpi: number): number => {\r\n  return pxValue / (dpi / 25.4);\r\n};\r\n\r\nexport type ShapeCoordsWithSize = {\r\n  x: number;\r\n  y: number;\r\n  width: number;\r\n  height: number;\r\n};\r\n\r\n/**\r\n *\r\n * @param ctx Canvas context\r\n * @param correctionFactor Amount of pixels you want to allow to be outside of the canvas edges\r\n * @param current Object containing current x and y values\r\n * @param shape Shape that we are currently manipulating by changing it's position or size\r\n * @returns {object} Object containing adjusted x and y values to be applied onto the shape in question\r\n */\r\nexport const limitToContextWithCorrectionFactor = (\r\n  ctx: ShapeCoordsWithSize,\r\n  correctionFactor = 21,\r\n  current: { x: number; y: number },\r\n  shape: ShapeCoordsWithSize\r\n): { x: number; y: number } => {\r\n  const limit =\r\n    /**\r\n     *\r\n     * @param limitValue Defines constraint points for each axis\r\n     * @param direction Differentiate between lower and upper boundaries\r\n     * @param offset Amount of pixels to account for - on each constraint\r\n     * @returns\r\n     */\r\n\r\n\r\n      (limitValue: number, direction: '<' | '>', offset: number) =>\r\n      (currentValue: number) => {\r\n        const valueCheck =\r\n          direction === '>'\r\n            ? limitValue - offset - (currentValue - correctionFactor)\r\n            : currentValue + correctionFactor - limitValue;\r\n        return valueCheck >= 0\r\n          ? currentValue\r\n          : direction === '<'\r\n          ? limitValue - correctionFactor\r\n          : limitValue + correctionFactor - offset;\r\n      };\r\n\r\n  /**\r\n   * Leftmost value allowed\r\n   */\r\n  const lowerX = limit(ctx.x, '<', 0);\r\n  /**\r\n   * Rightmost value allowed\r\n   */\r\n  const upperX = limit(ctx.width, '>', shape.width);\r\n  /**\r\n   * Bottommost value allowed\r\n   */\r\n  const lowerY = limit(ctx.y, '<', 0);\r\n  /**\r\n   * Upermost value allowed\r\n   */\r\n  const upperY = limit(ctx.height, '>', shape.height);\r\n\r\n  /**\r\n   * @typedef {Object} Point\r\n   * @property {number} x- The x coordinate\r\n   * @property {number} y- The y coordinate\r\n   *\r\n   * @returns {Point} - x and y values limited by the Left, Right, Down, Up bounds defined above\r\n   */\r\n  const constrained = {\r\n    x: lowerX(upperX(current.x)),\r\n    y: lowerY(upperY(current.y)),\r\n  };\r\n  return {\r\n    ...current,\r\n    x: constrained.x,\r\n    y: constrained.y,\r\n  };\r\n};\r\n\r\nexport const colorArrayToColorRGBA = (\r\n  colorArray: [number, number, number, number?]\r\n): [number?, number?, number?, number?] => {\r\n  const [r, g, b, a] = colorArray.map((v, idx) => {\r\n    return idx !== 3 ? v && v * 255 : v;\r\n  });\r\n  return [r, g, b, a];\r\n};\r\n\r\n/**\r\n * Calculates the proper height of an image with a custom width, preserving the original aspect ratio.\r\n *\r\n * @param originalHeight\r\n * @param originalWidth\r\n * @param newWidth\r\n */\r\nexport function determineNewHeight(\r\n  originalHeight: number,\r\n  originalWidth: number,\r\n  newWidth: number\r\n): number {\r\n  return (originalHeight / originalWidth) * newWidth;\r\n}\r\n\r\n/**\r\n * Calculates the proper width of an image with a custom height, preserving the original aspect ratio.\r\n *\r\n * @param originalHeight\r\n * @param originalWidth\r\n * @param newHeight\r\n */\r\nexport function determineNewWidth(\r\n  originalHeight: number,\r\n  originalWidth: number,\r\n  newHeight: number\r\n): number {\r\n  return (originalWidth / originalHeight) * newHeight;\r\n}\r\n\r\nexport function determineNewWidthMm(\r\n  originalWidthMm: number,\r\n  originalHeightMm: number,\r\n  newHeightMm: number\r\n): number {\r\n  return (originalWidthMm * newHeightMm) / originalHeightMm;\r\n}\r\n\r\nexport function determineNewHeightMm(\r\n  originalWidthMm: number,\r\n  originalHeightMm: number,\r\n  newWidthMm: number\r\n): number {\r\n  return (originalHeightMm * newWidthMm) / originalWidthMm;\r\n}\r\n\r\nexport function determineNewWidthPx(\r\n  originalWidthPx: number,\r\n  originalWidthMm: number,\r\n  newWidthMm: number\r\n): number {\r\n  return (originalWidthPx * newWidthMm) / originalWidthMm;\r\n}\r\n\r\nexport function determineNewHeightPx(\r\n  originalHeightPx: number,\r\n  originalHeightMm: number,\r\n  newHeightMm: number\r\n): number {\r\n  return (originalHeightPx * newHeightMm) / originalHeightMm;\r\n}\r\n\r\n/**\r\n * Calculates new value for DPI when artwork is resized.\r\n *\r\n * @param newValue\r\n * @param originalDPI\r\n * @param originalValue\r\n */\r\nexport function recalculateDPI(\r\n  newValue: number,\r\n  originalDPI: number,\r\n  originalValue: number\r\n): number {\r\n  const scaleFactor = newValue / originalValue;\r\n  return originalDPI / scaleFactor;\r\n}\r\n\r\nexport function decodeHTMLEntities(text: string) {\r\n  const entities = [\r\n    ['amp', '&'],\r\n    ['apos', \"'\"],\r\n    ['#x27', \"'\"],\r\n    ['#x2F', '/'],\r\n    ['#39', \"'\"],\r\n    ['#47', '/'],\r\n    ['lt', '<'],\r\n    ['gt', '>'],\r\n    ['nbsp', ' '],\r\n    ['quot', '\"'],\r\n  ];\r\n\r\n  entities.forEach((entity) => {\r\n    text = text?.replace(new RegExp('&' + entity[0] + ';', 'g'), entity[1]);\r\n  });\r\n\r\n  return text;\r\n}\r\n\r\nexport async function convertToBlob(fileUrl: string): Promise<Blob> {\r\n  const res = await axios({\r\n    url: fileUrl,\r\n    method: 'GET',\r\n    responseType: 'blob',\r\n  });\r\n  return res.data;\r\n}\r\n\r\nexport function getUtcDateTime(dateString: string): Date {\r\n  return new Date(\r\n    format(new Date(dateString.slice(0, -1)), 'yyyy-MM-dd HH:mm:ss')\r\n  );\r\n}\r\n","var map = {\n\t\"./cs.json\": \"c686\",\n\t\"./de.json\": \"6ce2\",\n\t\"./en.json\": \"edd4\",\n\t\"./es.json\": \"a306\",\n\t\"./fi.json\": \"5754\",\n\t\"./fr.json\": \"f693\",\n\t\"./hu.json\": \"4e73\",\n\t\"./it.json\": \"0825\",\n\t\"./nl.json\": \"a625\",\n\t\"./pl.json\": \"89b2\",\n\t\"./pt.json\": \"5d67\",\n\t\"./ro.json\": \"9542\",\n\t\"./sv.json\": \"4c5b\"\n};\n\n\nfunction webpackContext(req) {\n\tvar id = webpackContextResolve(req);\n\treturn __webpack_require__(id);\n}\nfunction webpackContextResolve(req) {\n\tif(!__webpack_require__.o(map, req)) {\n\t\tvar e = new Error(\"Cannot find module '\" + req + \"'\");\n\t\te.code = 'MODULE_NOT_FOUND';\n\t\tthrow e;\n\t}\n\treturn map[req];\n}\nwebpackContext.keys = function webpackContextKeys() {\n\treturn Object.keys(map);\n};\nwebpackContext.resolve = webpackContextResolve;\nmodule.exports = webpackContext;\nwebpackContext.id = \"49f8\";","'use strict';\n\nvar utils = require('../utils');\n\n/**\n * Config-specific merge-function which creates a new config-object\n * by merging two configuration objects together.\n *\n * @param {Object} config1\n * @param {Object} config2\n * @returns {Object} New object resulting from merging config2 to config1\n */\nmodule.exports = function mergeConfig(config1, config2) {\n  // eslint-disable-next-line no-param-reassign\n  config2 = config2 || {};\n  var config = {};\n\n  var valueFromConfig2Keys = ['url', 'method', 'data'];\n  var mergeDeepPropertiesKeys = ['headers', 'auth', 'proxy', 'params'];\n  var defaultToConfig2Keys = [\n    'baseURL', 'transformRequest', 'transformResponse', 'paramsSerializer',\n    'timeout', 'timeoutMessage', 'withCredentials', 'adapter', 'responseType', 'xsrfCookieName',\n    'xsrfHeaderName', 'onUploadProgress', 'onDownloadProgress', 'decompress',\n    'maxContentLength', 'maxBodyLength', 'maxRedirects', 'transport', 'httpAgent',\n    'httpsAgent', 'cancelToken', 'socketPath', 'responseEncoding'\n  ];\n  var directMergeKeys = ['validateStatus'];\n\n  function getMergedValue(target, source) {\n    if (utils.isPlainObject(target) && utils.isPlainObject(source)) {\n      return utils.merge(target, source);\n    } else if (utils.isPlainObject(source)) {\n      return utils.merge({}, source);\n    } else if (utils.isArray(source)) {\n      return source.slice();\n    }\n    return source;\n  }\n\n  function mergeDeepProperties(prop) {\n    if (!utils.isUndefined(config2[prop])) {\n      config[prop] = getMergedValue(config1[prop], config2[prop]);\n    } else if (!utils.isUndefined(config1[prop])) {\n      config[prop] = getMergedValue(undefined, config1[prop]);\n    }\n  }\n\n  utils.forEach(valueFromConfig2Keys, function valueFromConfig2(prop) {\n    if (!utils.isUndefined(config2[prop])) {\n      config[prop] = getMergedValue(undefined, config2[prop]);\n    }\n  });\n\n  utils.forEach(mergeDeepPropertiesKeys, mergeDeepProperties);\n\n  utils.forEach(defaultToConfig2Keys, function defaultToConfig2(prop) {\n    if (!utils.isUndefined(config2[prop])) {\n      config[prop] = getMergedValue(undefined, config2[prop]);\n    } else if (!utils.isUndefined(config1[prop])) {\n      config[prop] = getMergedValue(undefined, config1[prop]);\n    }\n  });\n\n  utils.forEach(directMergeKeys, function merge(prop) {\n    if (prop in config2) {\n      config[prop] = getMergedValue(config1[prop], config2[prop]);\n    } else if (prop in config1) {\n      config[prop] = getMergedValue(undefined, config1[prop]);\n    }\n  });\n\n  var axiosKeys = valueFromConfig2Keys\n    .concat(mergeDeepPropertiesKeys)\n    .concat(defaultToConfig2Keys)\n    .concat(directMergeKeys);\n\n  var otherKeys = Object\n    .keys(config1)\n    .concat(Object.keys(config2))\n    .filter(function filterAxiosKeys(key) {\n      return axiosKeys.indexOf(key) === -1;\n    });\n\n  utils.forEach(otherKeys, mergeDeepProperties);\n\n  return config;\n};\n","\"use strict\";\nObject.defineProperty(exports, \"__esModule\", { value: true });\nexports.stringProp = void 0;\nconst util_1 = require(\"../util\");\n/**\n * Allows any string. No further runtime validation is performed by default.\n *\n * Type parameter `T` can be used to restrict the type at compile time with a union type.\n *\n * @param validator - Optional function for further runtime validation; should return `undefined` if valid, or an error string if invalid.\n */\nconst stringProp = (validator) => (0, util_1.propOptionsGenerator)(String, validator);\nexports.stringProp = stringProp;\n","export * from \"-!../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./BellNotification.vue?vue&type=style&index=0&id=65ffcee7&prod&lang=scss&scoped=true\"","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".text-panel-options .bx--label{font-size:12px}.text-panel-options .bx--text-area{font-size:14px;height:142px}.text-panel-options .bx--text-area::-moz-placeholder{font-size:14px}.text-panel-options .bx--text-area::placeholder{font-size:14px}.text-panel-options .bx--list-box__label{font-size:14px}.text-panel-options .bx--btn{font-size:14px;width:32px;height:32px;max-width:240px!important}.text-panel-options .bx--btn--sm.bx--btn--icon-only{padding-left:7px;padding-right:7px}.text-panel-options .bx--btn:disabled{color:#fff!important;background-color:#c6c6c6!important}.text-panel-options .bx--dropdown{max-height:40px!important;height:40px!important;max-height:32px!important;height:32px!important}.text-panel-options .bx--dropdown-item{height:32px;font-size:14px}.text-panel-options .bx--dropdown-list{height:160px;width:170px}.text-panel-options .bx--btn--tertiary:focus,.text-panel-options .bx--btn.bx--btn--icon-only.bx--tooltip__trigger:focus,.text-panel-options .bx--btn.bx--btn--icon-only.bx--tooltip__trigger:focus svg{outline:none!important;outline:0!important}.text-panel-options__text-style .bx--accordion{padding:0!important;margin:0!important}.text-panel-options .bx--accordion__heading{height:52px;padding-top:16px}.text-panel-options .bx--accordion__content{padding:0!important;margin:0!important;border-top:1px solid #e0e0e0}.text-panel-options__text-style .bx--accordion__title{font-weight:700!important;font-size:14px}.text-panel-options .bx--accordion__arrow{min-height:20px;min-width:20px}.text-panel-options .bx--list-box__menu-icon{width:20px;height:20px}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","export * from \"-!../../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./Ruler.vue?vue&type=style&index=0&id=640c74c2&prod&lang=scss&scoped=true\"","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PinturaHeader.vue?vue&type=style&index=0&id=ee8078c6&prod&lang=scss&scoped=true\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"530f91a2\", content, shadowRoot)\n};","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('modal',{attrs:{\"name\":\"small-details-confirmation\",\"width\":\"25%\",\"height\":\"auto\",\"adaptive\":true,\"click-to-close\":false}},[_c('cv-grid',{staticClass:\"small-detail-confirmation\",attrs:{\"full-width\":\"\"}},[_c('cv-row',[_c('cv-column',{attrs:{\"sm\":4,\"md\":8,\"lg\":16,\"xlg\":16,\"max\":16}},[_c('div',{staticClass:\"cv-grid-story__preview-col\"},[_c('cv-row',[_c('cv-column',{attrs:{\"sm\":3,\"md\":6,\"lg\":14,\"xlg\":14,\"max\":14}},[_c('div',{staticClass:\"cv-grid-story__preview-col p-15\"},[_c('span',{staticClass:\"confirmation-title productive-heading-03-text-01-2\"},[_vm._v(_vm._s(_vm.$t('small-details.header.confirmation'))+\" \")])])]),_c('cv-column',{attrs:{\"sm\":1,\"md\":2,\"lg\":2,\"xlg\":2,\"max\":2}},[_c('div',{staticClass:\"cv-grid-story__preview-col p-15\"},[_c('close-16',{staticClass:\"close-icon mt-5\",on:{\"click\":() => {\n                      _vm.isChecked = false;\n                      _vm.$emit('action:back-to-wizard');\n                    }}})],1)])],1)],1)])],1),_c('cv-row',[_c('cv-column',{attrs:{\"sm\":3,\"md\":6,\"lg\":14,\"xlg\":14,\"max\":14}},[_c('div',{staticClass:\"cv-grid-story__preview-col ml-15 mt-10\"},[_c('span',{staticClass:\"confirmation-desc body-long-01-text-01\"},[_vm._v(_vm._s(_vm.$t('small-details.description.confirmation')))])])])],1),_c('cv-row',[_c('cv-column',{attrs:{\"sm\":3,\"md\":6,\"lg\":14,\"xlg\":14,\"max\":14}},[_c('div',{staticClass:\"cv-grid-story__preview-col ml-15 mt-10\"},[_c('cv-checkbox',{staticClass:\"aceept-logos\",attrs:{\"value\":'some',\"label\":_vm.$t('small-details.description.accept-invalid-logos')},on:{\"change\":(checked) => {\n                _vm.isChecked = checked;\n              }}})],1)])],1),_c('cv-row',[_c('cv-column',{attrs:{\"sm\":4,\"md\":8,\"lg\":16,\"xlg\":16,\"max\":16}},[_c('div',{staticClass:\"cv-grid-story__preview-col mt-10\"},[_c('cv-button-set',[_c('cv-button',{attrs:{\"kind\":\"secondary\"},on:{\"click\":() => {\n                  _vm.isChecked = false;\n                  _vm.$emit('action:check-small-details');\n                }}},[_vm._v(_vm._s(_vm.$t('section.actions.check-small-details')))]),_c('cv-button',{attrs:{\"kind\":\"primary\",\"disabled\":!_vm.isChecked},on:{\"click\":function($event){return _vm.$emit('action:use-current-design')}}},[_vm._v(_vm._s(_vm.$t('section.actions.use-current-design')))])],1)],1)])],1)],1)],1)\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","\r\nimport Vue from 'vue';\r\nimport Close16 from '@carbon/icons-vue/es/close/16';\r\nimport {\r\n  CvGrid,\r\n  CvRow,\r\n  CvColumn,\r\n  CvButton,\r\n  CvButtonSet,\r\n  CvCheckbox,\r\n} from '@carbon/vue';\r\n\r\nexport default Vue.extend({\r\n  name: 'SmallDetailsConfirmation',\r\n  components: {\r\n    CvGrid,\r\n    CvRow,\r\n    CvColumn,\r\n    CvButton,\r\n    CvButtonSet,\r\n    CvCheckbox,\r\n    Close16,\r\n  },\r\n  props: {\r\n    isOpen: {\r\n      type: Boolean,\r\n      required: true,\r\n      default: false,\r\n    },\r\n  },\r\n\r\n  data() {\r\n    return {\r\n      isChecked: false,\r\n    };\r\n  },\r\n\r\n  watch: {\r\n    isOpen(newValue) {\r\n      if (newValue) {\r\n        this.$modal.show('small-details-confirmation');\r\n      } else {\r\n        this.$modal.hide('small-details-confirmation');\r\n      }\r\n    },\r\n  },\r\n\r\n  mounted() {\r\n    if (this.isOpen) {\r\n      this.$modal.show('small-details-confirmation');\r\n    }\r\n  },\r\n});\r\n","import mod from \"-!../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../node_modules/babel-loader/lib/index.js!../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./SmallDetailsConfirmation.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../node_modules/babel-loader/lib/index.js!../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./SmallDetailsConfirmation.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./SmallDetailsConfirmation.vue?vue&type=template&id=7c26d410&scoped=true\"\nimport script from \"./SmallDetailsConfirmation.vue?vue&type=script&lang=ts\"\nexport * from \"./SmallDetailsConfirmation.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./SmallDetailsConfirmation.vue?vue&type=style&index=0&id=7c26d410&prod&scoped=true&lang=css\")\nif (style0.__inject__) style0.__inject__(context)\nvar style1 = require(\"./SmallDetailsConfirmation.vue?vue&type=style&index=1&id=7c26d410&prod&lang=css\")\nif (style1.__inject__) style1.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  \"7c26d410\",\n  null\n  ,true\n)\n\nexport default component.exports","'use strict';\nvar toIndexedObject = require('../internals/to-indexed-object');\nvar toAbsoluteIndex = require('../internals/to-absolute-index');\nvar lengthOfArrayLike = require('../internals/length-of-array-like');\n\n// `Array.prototype.{ indexOf, includes }` methods implementation\nvar createMethod = function (IS_INCLUDES) {\n  return function ($this, el, fromIndex) {\n    var O = toIndexedObject($this);\n    var length = lengthOfArrayLike(O);\n    if (length === 0) return !IS_INCLUDES && -1;\n    var index = toAbsoluteIndex(fromIndex, length);\n    var value;\n    // Array#includes uses SameValueZero equality algorithm\n    // eslint-disable-next-line no-self-compare -- NaN check\n    if (IS_INCLUDES && el !== el) while (length > index) {\n      value = O[index++];\n      // eslint-disable-next-line no-self-compare -- NaN check\n      if (value !== value) return true;\n    // Array#indexOf ignores holes, Array#includes - not\n    } else for (;length > index; index++) {\n      if ((IS_INCLUDES || index in O) && O[index] === el) return IS_INCLUDES || index || 0;\n    } return !IS_INCLUDES && -1;\n  };\n};\n\nmodule.exports = {\n  // `Array.prototype.includes` method\n  // https://tc39.es/ecma262/#sec-array.prototype.includes\n  includes: createMethod(true),\n  // `Array.prototype.indexOf` method\n  // https://tc39.es/ecma262/#sec-array.prototype.indexof\n  indexOf: createMethod(false)\n};\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../node_modules/css-loader/dist/runtime/api.js\");\nvar ___CSS_LOADER_AT_RULE_IMPORT_0___ = require(\"-!../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../node_modules/pintura/pintura.css\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\nexports.i(___CSS_LOADER_AT_RULE_IMPORT_0___);\n// Module\nexports.push([module.id, \".PinturaRoot .PinturaNavGroup:last-of-type{margin-top:20px}.PinturaPanel{box-shadow:unset;border-radius:unset}#toolbar--is_scoped{background-color:#f4f4f4}.pintura-editor{--color-foreground:0,0,0;--color-background:244,244,244;--font-family:\\\"Roboto\\\",sans-serif;--font-size:16px}.CustomTabList{position:absolute;top:0;right:0;display:flex;flex-direction:column;background:#d3d3d3}.CustomTabList button{border:1px solid grey;width:4em;height:4em}.PinturaShapePresetsPalette{--color-foreground-10:#2990ff}.PinturaShapePresetsPalette button{background-color:#0f62fe;color:#fff}.PinturaShapePresetsPalette .PinturaButton{padding:.6rem}.PinturaShapePresetsPalette .PinturaButton:hover{box-shadow:inset 0 0 0 1px var(--color-foreground-10)}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".manual-check-container .cv-column{padding:0!important}.manual-check-container .bx--grid{margin-left:0!important;margin-right:0!important}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./ManualCheck.vue?vue&type=style&index=1&id=1a685238&prod&lang=scss\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"3beacdaa\", content, shadowRoot)\n};","export * from \"-!../../../../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./ColorDropdown.vue?vue&type=style&index=0&id=4edcd140&prod&lang=scss&scoped=true\"","export * from \"-!../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./ProductVariations.vue?vue&type=style&index=0&id=08cc9246&prod&lang=scss&scoped=true\"","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".small-detail-confirmation .bx--checkbox-label-text{font-size:14px!important}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","export * from \"-!../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./SmallDetailsNotification.vue?vue&type=style&index=0&id=394c9f23&prod&lang=scss\"","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \"@charset \\\"UTF-8\\\";@font-face{font-family:slick;src:url(data:application/font-woff;charset=utf-8;base64,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) format(\\\"woff\\\")}.slick-next,.slick-prev{font-size:0;line-height:0;position:absolute;top:50%;display:block;width:20px;height:20px;padding:0;transform:translateY(-50%);cursor:pointer;border:none}.slick-next,.slick-next:focus,.slick-next:hover,.slick-prev,.slick-prev:focus,.slick-prev:hover{color:transparent;outline:none;background:transparent}.slick-next:focus:before,.slick-next:hover:before,.slick-prev:focus:before,.slick-prev:hover:before{opacity:1}.slick-next.slick-disabled:before,.slick-prev.slick-disabled:before{opacity:.25}.slick-next:before,.slick-prev:before{font-family:slick;font-size:20px;line-height:1;opacity:.75;color:#fff;-webkit-font-smoothing:antialiased;-moz-osx-font-smoothing:grayscale}.slick-prev{left:-25px}[dir=rtl] .slick-prev{right:-25px;left:auto}.slick-prev:before{content:\\\"←\\\"}[dir=rtl] .slick-prev:before{content:\\\"→\\\"}.slick-next{right:-25px}[dir=rtl] .slick-next{right:auto;left:-25px}.slick-next:before{content:\\\"→\\\"}[dir=rtl] .slick-next:before{content:\\\"←\\\"}.slick-dotted.slick-slider{margin-bottom:30px}.slick-dots{position:absolute;bottom:-25px;display:block;width:100%;padding:0;margin:0;list-style:none;text-align:center}.slick-dots li{position:relative;display:inline-block;margin:0 5px;padding:0}.slick-dots li,.slick-dots li button{width:20px;height:20px;cursor:pointer}.slick-dots li button{font-size:0;line-height:0;display:block;padding:5px;color:transparent;border:0;outline:none;background:transparent}.slick-dots li button:focus,.slick-dots li button:hover{outline:none}.slick-dots li button:focus:before,.slick-dots li button:hover:before{opacity:1}.slick-dots li button:before{font-family:slick;font-size:6px;line-height:20px;position:absolute;top:0;left:0;width:20px;height:20px;content:\\\"•\\\";text-align:center;opacity:.25;color:#000;-webkit-font-smoothing:antialiased;-moz-osx-font-smoothing:grayscale}.slick-dots li.slick-active button:before{opacity:.75;color:#000}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","'use strict';\nvar toIntegerOrInfinity = require('../internals/to-integer-or-infinity');\n\nvar min = Math.min;\n\n// `ToLength` abstract operation\n// https://tc39.es/ecma262/#sec-tolength\nmodule.exports = function (argument) {\n  var len = toIntegerOrInfinity(argument);\n  return len > 0 ? min(len, 0x1FFFFFFFFFFFFF) : 0; // 2 ** 53 - 1 == 9007199254740991\n};\n","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./ProductPreviewModal.vue?vue&type=style&index=0&id=139a660a&prod&lang=scss&scoped=true\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"6c36a9ac\", content, shadowRoot)\n};","'use strict';\n\nvar origSymbol = typeof Symbol !== 'undefined' && Symbol;\nvar hasSymbolSham = require('./shams');\n\nmodule.exports = function hasNativeSymbols() {\n\tif (typeof origSymbol !== 'function') { return false; }\n\tif (typeof Symbol !== 'function') { return false; }\n\tif (typeof origSymbol('foo') !== 'symbol') { return false; }\n\tif (typeof Symbol('bar') !== 'symbol') { return false; }\n\n\treturn hasSymbolSham();\n};\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../node_modules/css-loader/dist/runtime/api.js\");\nvar ___CSS_LOADER_GET_URL_IMPORT___ = require(\"../../../../node_modules/css-loader/dist/runtime/getUrl.js\");\nvar ___CSS_LOADER_URL_IMPORT_0___ = require(\"../../../../src/assets/checkerTransparency.png\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\nvar ___CSS_LOADER_URL_REPLACEMENT_0___ = ___CSS_LOADER_GET_URL_IMPORT___(___CSS_LOADER_URL_IMPORT_0___);\n// Module\nexports.push([module.id, \".card[data-v-07f9ae33]{background-color:#fff;margin:3%;border:1px solid transparent}.card__image[data-v-07f9ae33]{display:flex;align-items:center;justify-content:center;padding:3%;height:15vh}.card__image--checker-background[data-v-07f9ae33]{background-image:url(\" + ___CSS_LOADER_URL_REPLACEMENT_0___ + \");background-size:175% 390%;border:7px solid #fff}img[data-v-07f9ae33]{max-width:100%;max-height:100%}.card__description[data-v-07f9ae33]{padding:16px;display:inline-flex;width:100%;border-top:1px solid #f4f4f4}.card__description-column1[data-v-07f9ae33]{width:90%;display:flex;flex-direction:column}.card__description-column2[data-v-07f9ae33]{width:10%}.card__image-name[data-v-07f9ae33]{color:#161616;font-weight:700;font-size:14px;margin-bottom:2px}.card__image-filename[data-v-07f9ae33],.card__image-name[data-v-07f9ae33]{padding-bottom:2px;white-space:nowrap;width:100%;overflow:hidden;text-overflow:ellipsis}.card__image-filename[data-v-07f9ae33]{color:#525252;font-size:12px}.card-selected[data-v-07f9ae33]{border:1px solid #000}.card-hovering[data-v-07f9ae33]{background-color:#e5e5e5}.card-pointer[data-v-07f9ae33]{cursor:pointer}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PrintPositionsManagerFooter.vue?vue&type=style&index=0&id=b6ae7dba&prod&lang=scss\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"02a29de8\", content, shadowRoot)\n};","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".cv-loading[data-v-e894e20c]{z-index:999!important}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","export * from \"-!../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./TheApp.vue?vue&type=style&index=0&id=3d29fcab&prod&lang=scss\"","'use strict';\n\nvar utils = require('./../utils');\nvar transformData = require('./transformData');\nvar isCancel = require('../cancel/isCancel');\nvar defaults = require('../defaults');\n\n/**\n * Throws a `Cancel` if cancellation has been requested.\n */\nfunction throwIfCancellationRequested(config) {\n  if (config.cancelToken) {\n    config.cancelToken.throwIfRequested();\n  }\n}\n\n/**\n * Dispatch a request to the server using the configured adapter.\n *\n * @param {object} config The config that is to be used for the request\n * @returns {Promise} The Promise to be fulfilled\n */\nmodule.exports = function dispatchRequest(config) {\n  throwIfCancellationRequested(config);\n\n  // Ensure headers exist\n  config.headers = config.headers || {};\n\n  // Transform request data\n  config.data = transformData.call(\n    config,\n    config.data,\n    config.headers,\n    config.transformRequest\n  );\n\n  // Flatten headers\n  config.headers = utils.merge(\n    config.headers.common || {},\n    config.headers[config.method] || {},\n    config.headers\n  );\n\n  utils.forEach(\n    ['delete', 'get', 'head', 'post', 'put', 'patch', 'common'],\n    function cleanHeaderConfig(method) {\n      delete config.headers[method];\n    }\n  );\n\n  var adapter = config.adapter || defaults.adapter;\n\n  return adapter(config).then(function onAdapterResolution(response) {\n    throwIfCancellationRequested(config);\n\n    // Transform response data\n    response.data = transformData.call(\n      config,\n      response.data,\n      response.headers,\n      config.transformResponse\n    );\n\n    return response;\n  }, function onAdapterRejection(reason) {\n    if (!isCancel(reason)) {\n      throwIfCancellationRequested(config);\n\n      // Transform response data\n      if (reason && reason.response) {\n        reason.response.data = transformData.call(\n          config,\n          reason.response.data,\n          reason.response.headers,\n          config.transformResponse\n        );\n      }\n    }\n\n    return Promise.reject(reason);\n  });\n};\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".small-details-notification .bx--toast-notification--error .bx--toast-notification__close-button{display:none}.bx--toast-notification{width:280px}.bx--toast-notification__title{font-size:14px}.bx--toast-notification__subtitle{font-size:12px}.bx--toast-notification__caption{font-size:10px}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","export * from \"-!../../../../node_modules/vue-style-loader/index.js??ref--7-oneOf-1-0!../../../../node_modules/css-loader/dist/cjs.js??ref--7-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--7-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--7-oneOf-1-3!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./LanyardPanel.vue?vue&type=style&index=0&id=595e6565&prod&scoped=true&lang=css\"","'use strict';\nvar call = require('../internals/function-call');\n\nmodule.exports = function (record, fn, ITERATOR_INSTEAD_OF_RECORD) {\n  var iterator = ITERATOR_INSTEAD_OF_RECORD ? record : record.iterator;\n  var next = record.next;\n  var step, result;\n  while (!(step = call(next, iterator)).done) {\n    result = fn(step.value);\n    if (result !== undefined) return result;\n  }\n};\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".pipeline-validation-notification .bx--toast-notification--error .bx--toast-notification__close-button{display:none}.bx--toast-notification{width:220px}.bx--toast-notification__title{font-size:14px}.bx--toast-notification__subtitle{font-size:12px}.bx--toast-notification__caption{font-size:10px}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","export default function _typeof(o) {\n  \"@babel/helpers - typeof\";\n\n  return _typeof = \"function\" == typeof Symbol && \"symbol\" == typeof Symbol.iterator ? function (o) {\n    return typeof o;\n  } : function (o) {\n    return o && \"function\" == typeof Symbol && o.constructor === Symbol && o !== Symbol.prototype ? \"symbol\" : typeof o;\n  }, _typeof(o);\n}","'use strict';\n\nvar GetIntrinsic = require('get-intrinsic');\nvar callBound = require('call-bind/callBound');\nvar inspect = require('object-inspect');\n\nvar $TypeError = require('es-errors/type');\nvar $WeakMap = GetIntrinsic('%WeakMap%', true);\nvar $Map = GetIntrinsic('%Map%', true);\n\nvar $weakMapGet = callBound('WeakMap.prototype.get', true);\nvar $weakMapSet = callBound('WeakMap.prototype.set', true);\nvar $weakMapHas = callBound('WeakMap.prototype.has', true);\nvar $mapGet = callBound('Map.prototype.get', true);\nvar $mapSet = callBound('Map.prototype.set', true);\nvar $mapHas = callBound('Map.prototype.has', true);\n\n/*\n* This function traverses the list returning the node corresponding to the given key.\n*\n* That node is also moved to the head of the list, so that if it's accessed again we don't need to traverse the whole list. By doing so, all the recently used nodes can be accessed relatively quickly.\n*/\n/** @type {import('.').listGetNode} */\nvar listGetNode = function (list, key) { // eslint-disable-line consistent-return\n\t/** @type {typeof list | NonNullable<(typeof list)['next']>} */\n\tvar prev = list;\n\t/** @type {(typeof list)['next']} */\n\tvar curr;\n\tfor (; (curr = prev.next) !== null; prev = curr) {\n\t\tif (curr.key === key) {\n\t\t\tprev.next = curr.next;\n\t\t\t// eslint-disable-next-line no-extra-parens\n\t\t\tcurr.next = /** @type {NonNullable<typeof list.next>} */ (list.next);\n\t\t\tlist.next = curr; // eslint-disable-line no-param-reassign\n\t\t\treturn curr;\n\t\t}\n\t}\n};\n\n/** @type {import('.').listGet} */\nvar listGet = function (objects, key) {\n\tvar node = listGetNode(objects, key);\n\treturn node && node.value;\n};\n/** @type {import('.').listSet} */\nvar listSet = function (objects, key, value) {\n\tvar node = listGetNode(objects, key);\n\tif (node) {\n\t\tnode.value = value;\n\t} else {\n\t\t// Prepend the new node to the beginning of the list\n\t\tobjects.next = /** @type {import('.').ListNode<typeof value>} */ ({ // eslint-disable-line no-param-reassign, no-extra-parens\n\t\t\tkey: key,\n\t\t\tnext: objects.next,\n\t\t\tvalue: value\n\t\t});\n\t}\n};\n/** @type {import('.').listHas} */\nvar listHas = function (objects, key) {\n\treturn !!listGetNode(objects, key);\n};\n\n/** @type {import('.')} */\nmodule.exports = function getSideChannel() {\n\t/** @type {WeakMap<object, unknown>} */ var $wm;\n\t/** @type {Map<object, unknown>} */ var $m;\n\t/** @type {import('.').RootNode<unknown>} */ var $o;\n\n\t/** @type {import('.').Channel} */\n\tvar channel = {\n\t\tassert: function (key) {\n\t\t\tif (!channel.has(key)) {\n\t\t\t\tthrow new $TypeError('Side channel does not contain ' + inspect(key));\n\t\t\t}\n\t\t},\n\t\tget: function (key) { // eslint-disable-line consistent-return\n\t\t\tif ($WeakMap && key && (typeof key === 'object' || typeof key === 'function')) {\n\t\t\t\tif ($wm) {\n\t\t\t\t\treturn $weakMapGet($wm, key);\n\t\t\t\t}\n\t\t\t} else if ($Map) {\n\t\t\t\tif ($m) {\n\t\t\t\t\treturn $mapGet($m, key);\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\tif ($o) { // eslint-disable-line no-lonely-if\n\t\t\t\t\treturn listGet($o, key);\n\t\t\t\t}\n\t\t\t}\n\t\t},\n\t\thas: function (key) {\n\t\t\tif ($WeakMap && key && (typeof key === 'object' || typeof key === 'function')) {\n\t\t\t\tif ($wm) {\n\t\t\t\t\treturn $weakMapHas($wm, key);\n\t\t\t\t}\n\t\t\t} else if ($Map) {\n\t\t\t\tif ($m) {\n\t\t\t\t\treturn $mapHas($m, key);\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\tif ($o) { // eslint-disable-line no-lonely-if\n\t\t\t\t\treturn listHas($o, key);\n\t\t\t\t}\n\t\t\t}\n\t\t\treturn false;\n\t\t},\n\t\tset: function (key, value) {\n\t\t\tif ($WeakMap && key && (typeof key === 'object' || typeof key === 'function')) {\n\t\t\t\tif (!$wm) {\n\t\t\t\t\t$wm = new $WeakMap();\n\t\t\t\t}\n\t\t\t\t$weakMapSet($wm, key, value);\n\t\t\t} else if ($Map) {\n\t\t\t\tif (!$m) {\n\t\t\t\t\t$m = new $Map();\n\t\t\t\t}\n\t\t\t\t$mapSet($m, key, value);\n\t\t\t} else {\n\t\t\t\tif (!$o) {\n\t\t\t\t\t// Initialize the linked list as an empty node, so that we don't have to special-case handling of the first node: we can always refer to it as (previous node).next, instead of something like (list).head\n\t\t\t\t\t$o = { key: {}, next: null };\n\t\t\t\t}\n\t\t\t\tlistSet($o, key, value);\n\t\t\t}\n\t\t}\n\t};\n\treturn channel;\n};\n","/**\n * Copyright IBM Corp. 2019, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nimport { c as createSVGComponent } from '../utils-9450cd75.js';\nimport '@carbon/icon-helpers';\nimport 'vue';\n\nconst Close16 = createSVGComponent('Close16', {\n  \"xmlns\": \"http://www.w3.org/2000/svg\",\n  \"viewBox\": \"0 0 32 32\",\n  \"fill\": \"currentColor\",\n  \"width\": 16,\n  \"height\": 16\n}, [{\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M17.4141 16L24 9.4141 22.5859 8 16 14.5859 9.4143 8 8 9.4141 14.5859 16 8 22.5859 9.4143 24 16 17.4141 22.5859 24 24 22.5859 17.4141 16z\"\n  }\n}]);\n\nexport { Close16 as default };\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".ruler[data-v-e8833e94]{--ruler-num-c:#a8a8a8;--ruler-num-fz:10px;--ruler-num-pi:0.75ch;--ruler-unit:1px;--ruler-x:1;--ruler-y:1;--ruler1-bdw:1px;--ruler1-c:#a8a8a8;--ruler1-h:13px;--ruler2-bdw:1px;--ruler2-c:#a8a8a8;--ruler2-h:30px;position:absolute;left:var(--left);top:var(--top);width:var(--width);height:var(--height)}.ruler-x[data-v-e8833e94]{min-width:var(--width);border-top:var(--ruler1-bdw) var(--ruler1-c) solid;background-image:linear-gradient(90deg,var(--ruler1-c) var(--ruler1-bdw),transparent 0),linear-gradient(90deg,var(--ruler2-c) var(--ruler2-bdw),transparent 0);background-repeat:repeat-x,repeat-x,repeat-y,repeat-y;counter-reset:d 0;z-index:1;padding:0;margin:0}.ruler-x[data-v-e8833e94],.ruler-y[data-v-e8833e94]{position:relative;background-position:0 0;background-size:calc(var(--ruler-unit)*var(--ruler1-space)*var(--ruler-x)) var(--ruler1-h),calc(var(--ruler-unit)*var(--ruler2-space)*var(--ruler-x)) var(--ruler2-h),var(--ruler1-h) calc(var(--ruler-unit)*var(--ruler1-space)*var(--ruler-y)),var(--ruler2-h) calc(var(--ruler-unit)*var(--ruler2-space)*var(--ruler-y));color:var(--ruler-num-c);display:flex;font-size:var(--ruler-num-fz);line-height:1;list-style:none;overflow:hidden}.ruler-y[data-v-e8833e94]{background-image:linear-gradient(90deg,var(--ruler1-c) var(--ruler1-bdw),transparent 0),linear-gradient(90deg,var(--ruler2-c) var(--ruler2-bdw),transparent 0),linear-gradient(0deg,var(--ruler1-c) var(--ruler1-bdw),transparent 0),linear-gradient(0deg,var(--ruler2-c) var(--ruler2-bdw),transparent 0);background-repeat:repeat-y,repeat-y;height:var(--height)}.ruler-x[data-v-e8833e94]{height:var(--ruler2-h);z-index:2}.ruler-x[data-v-e8833e94],.ruler-y[data-v-e8833e94]{background-color:#fff}.ruler-y[data-v-e8833e94]{flex-direction:column;width:35px;z-index:1}.ruler-x li[data-v-e8833e94]{display:flex;align-items:flex-end;padding-left:5px}.ruler-x li[data-v-e8833e94],.ruler-y li[data-v-e8833e94]{flex:0 0 calc(var(--ruler-unit)*var(--ruler2-space))}.ruler-y li[data-v-e8833e94]{padding-left:14px;padding-top:3px}.ruler-y__top[data-v-e8833e94]{border-top:var(--ruler1-bdw) var(--ruler1-c) solid}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","'use strict';\n\nvar GetIntrinsic = require('get-intrinsic');\n\nvar callBind = require('./');\n\nvar $indexOf = callBind(GetIntrinsic('String.prototype.indexOf'));\n\nmodule.exports = function callBoundIntrinsic(name, allowMissing) {\n\tvar intrinsic = GetIntrinsic(name, !!allowMissing);\n\tif (typeof intrinsic === 'function' && $indexOf(name, '.prototype.') > -1) {\n\t\treturn callBind(intrinsic);\n\t}\n\treturn intrinsic;\n};\n","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../node_modules/css-loader/dist/cjs.js??ref--7-oneOf-1-1!../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../node_modules/postcss-loader/src/index.js??ref--7-oneOf-1-2!../../../node_modules/postcss-loader/src/index.js??ref--7-oneOf-1-3!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./TheApp.vue?vue&type=style&index=1&id=e894e20c&prod&scoped=true&lang=css\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"3025ab84\", content, shadowRoot)\n};","'use strict';\nvar DESCRIPTORS = require('../internals/descriptors');\nvar uncurryThis = require('../internals/function-uncurry-this');\nvar defineBuiltInAccessor = require('../internals/define-built-in-accessor');\n\nvar URLSearchParamsPrototype = URLSearchParams.prototype;\nvar forEach = uncurryThis(URLSearchParamsPrototype.forEach);\n\n// `URLSearchParams.prototype.size` getter\n// https://github.com/whatwg/url/pull/734\nif (DESCRIPTORS && !('size' in URLSearchParamsPrototype)) {\n  defineBuiltInAccessor(URLSearchParamsPrototype, 'size', {\n    get: function size() {\n      var count = 0;\n      forEach(this, function () { count++; });\n      return count;\n    },\n    configurable: true,\n    enumerable: true\n  });\n}\n","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./TheApp.vue?vue&type=style&index=0&id=3d29fcab&prod&lang=scss\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"26bf85ba\", content, shadowRoot)\n};","export * from \"-!../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./ImageThumbnail.vue?vue&type=style&index=0&id=07f9ae33&prod&lang=scss&scoped=true\"","'use strict';\nvar store = require('../internals/shared-store');\n\nmodule.exports = function (key, value) {\n  return store[key] || (store[key] = value || {});\n};\n","'use strict';\nvar getBuiltIn = require('../internals/get-built-in');\nvar uncurryThis = require('../internals/function-uncurry-this');\nvar getOwnPropertyNamesModule = require('../internals/object-get-own-property-names');\nvar getOwnPropertySymbolsModule = require('../internals/object-get-own-property-symbols');\nvar anObject = require('../internals/an-object');\n\nvar concat = uncurryThis([].concat);\n\n// all object keys, includes non-enumerable and symbols\nmodule.exports = getBuiltIn('Reflect', 'ownKeys') || function ownKeys(it) {\n  var keys = getOwnPropertyNamesModule.f(anObject(it));\n  var getOwnPropertySymbols = getOwnPropertySymbolsModule.f;\n  return getOwnPropertySymbols ? concat(keys, getOwnPropertySymbols(it)) : keys;\n};\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".bx--row[data-v-55693bea]{margin:0}.proof-card--header[data-v-55693bea]{display:flex;justify-content:space-between;width:100%;margin-top:10px}.cv-grid-story--flex-end[data-v-55693bea]{display:flex;justify-content:flex-end}.bx--btn-set .bx--btn[data-v-55693bea]{max-width:100%;width:50%;padding:20px 10px}.pdf-preview[data-v-55693bea]{padding:10px}.main-content[data-v-55693bea]{padding:10px;border:1px solid #e7e7e7}.title[data-v-55693bea]{margin-left:0;font-size:14px;margin-top:10px}.modal-heading[data-v-55693bea]{display:flex;justify-content:space-between}.download-preview-button[data-v-55693bea]{font-size:14px}.pdf-preview-grid[data-v-55693bea]{padding:0}.modal-heading-title[data-v-55693bea]{font-size:20px;padding-left:0!important}.modal-button[data-v-55693bea]{font-size:14px}.close-button[data-v-55693bea]{cursor:pointer;width:30px;height:25px}.close-button[data-v-55693bea]:hover{background:#d3d3d3}.modal-buttons[data-v-55693bea]{padding:0!important}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","export * from \"-!../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./TheApp.vue?vue&type=style&index=0&id=d81890ee&prod&lang=scss\"","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./ActionsToolbar.vue?vue&type=style&index=0&id=148e3d02&prod&lang=scss&scoped=true\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"058509cd\", content, shadowRoot)\n};","'use strict';\nvar classof = require('../internals/classof');\n\nvar $String = String;\n\nmodule.exports = function (argument) {\n  if (classof(argument) === 'Symbol') throw new TypeError('Cannot convert a Symbol value to a string');\n  return $String(argument);\n};\n","export * from \"-!../../../node_modules/vue-style-loader/index.js??ref--7-oneOf-1-0!../../../node_modules/css-loader/dist/cjs.js??ref--7-oneOf-1-1!../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../node_modules/postcss-loader/src/index.js??ref--7-oneOf-1-2!../../../node_modules/postcss-loader/src/index.js??ref--7-oneOf-1-3!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./QuestionAboutWhiteReplace.vue?vue&type=style&index=1&id=792f7dd1&prod&lang=css\"","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./LanyardPanelOptions.vue?vue&type=style&index=0&id=1dbf1d0a&prod&lang=scss\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"95b10402\", content, shadowRoot)\n};","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".manual-check-container[data-v-4b35cd64]{display:flex;justify-content:center;align-items:baseline;position:relative;bottom:40px;text-align:left}.manual-check-container__check-label[data-v-4b35cd64]{font-size:12px;line-height:16px;letter-spacing:.32px}.manual-check-container__reset-button[data-v-4b35cd64]{position:relative;bottom:-3px}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","'use strict';\nvar trunc = require('../internals/math-trunc');\n\n// `ToIntegerOrInfinity` abstract operation\n// https://tc39.es/ecma262/#sec-tointegerorinfinity\nmodule.exports = function (argument) {\n  var number = +argument;\n  // eslint-disable-next-line no-self-compare -- NaN check\n  return number !== number || number === 0 ? 0 : trunc(number);\n};\n","'use strict';\nvar isCallable = require('../internals/is-callable');\nvar tryToString = require('../internals/try-to-string');\n\nvar $TypeError = TypeError;\n\n// `Assert: IsCallable(argument) is true`\nmodule.exports = function (argument) {\n  if (isCallable(argument)) return argument;\n  throw new $TypeError(tryToString(argument) + ' is not a function');\n};\n","// This file is imported into lib/wc client bundles.\n\nif (typeof window !== 'undefined') {\n  var currentScript = window.document.currentScript\n  if (process.env.NEED_CURRENTSCRIPT_POLYFILL) {\n    var getCurrentScript = require('@soda/get-current-script')\n    currentScript = getCurrentScript()\n\n    // for backward compatibility, because previously we directly included the polyfill\n    if (!('currentScript' in document)) {\n      Object.defineProperty(document, 'currentScript', { get: getCurrentScript })\n    }\n  }\n\n  var src = currentScript && currentScript.src.match(/(.+\\/)[^/]+\\.js(\\?.*)?$/)\n  if (src) {\n    __webpack_public_path__ = src[1] // eslint-disable-line\n  }\n}\n\n// Indicate to webpack that this file can be concatenated\nexport default null\n","const camelizeRE = /-(\\w)/g;\nconst camelize = str => {\n  return str.replace(camelizeRE, (_, c) => c ? c.toUpperCase() : '')\n};\n\nconst hyphenateRE = /\\B([A-Z])/g;\nconst hyphenate = str => {\n  return str.replace(hyphenateRE, '-$1').toLowerCase()\n};\n\nfunction getInitialProps (propsList) {\n  const res = {};\n  propsList.forEach(key => {\n    res[key] = undefined;\n  });\n  return res\n}\n\nfunction injectHook (options, key, hook) {\n  options[key] = [].concat(options[key] || []);\n  options[key].unshift(hook);\n}\n\nfunction callHooks (vm, hook) {\n  if (vm) {\n    const hooks = vm.$options[hook] || [];\n    hooks.forEach(hook => {\n      hook.call(vm);\n    });\n  }\n}\n\nfunction createCustomEvent (name, args) {\n  return new CustomEvent(name, {\n    bubbles: false,\n    cancelable: false,\n    detail: args\n  })\n}\n\nconst isBoolean = val => /function Boolean/.test(String(val));\nconst isNumber = val => /function Number/.test(String(val));\n\nfunction convertAttributeValue (value, name, { type } = {}) {\n  if (isBoolean(type)) {\n    if (value === 'true' || value === 'false') {\n      return value === 'true'\n    }\n    if (value === '' || value === name || value != null) {\n      return true\n    }\n    return value\n  } else if (isNumber(type)) {\n    const parsed = parseFloat(value, 10);\n    return isNaN(parsed) ? value : parsed\n  } else {\n    return value\n  }\n}\n\nfunction toVNodes (h, children) {\n  const res = [];\n  for (let i = 0, l = children.length; i < l; i++) {\n    res.push(toVNode(h, children[i]));\n  }\n  return res\n}\n\nfunction toVNode (h, node) {\n  if (node.nodeType === 3) {\n    return node.data.trim() ? node.data : null\n  } else if (node.nodeType === 1) {\n    const data = {\n      attrs: getAttributes(node),\n      domProps: {\n        innerHTML: node.innerHTML\n      }\n    };\n    if (data.attrs.slot) {\n      data.slot = data.attrs.slot;\n      delete data.attrs.slot;\n    }\n    return h(node.tagName, data)\n  } else {\n    return null\n  }\n}\n\nfunction getAttributes (node) {\n  const res = {};\n  for (let i = 0, l = node.attributes.length; i < l; i++) {\n    const attr = node.attributes[i];\n    res[attr.nodeName] = attr.nodeValue;\n  }\n  return res\n}\n\nfunction wrap (Vue, Component) {\n  const isAsync = typeof Component === 'function' && !Component.cid;\n  let isInitialized = false;\n  let hyphenatedPropsList;\n  let camelizedPropsList;\n  let camelizedPropsMap;\n\n  function initialize (Component) {\n    if (isInitialized) return\n\n    const options = typeof Component === 'function'\n      ? Component.options\n      : Component;\n\n    // extract props info\n    const propsList = Array.isArray(options.props)\n      ? options.props\n      : Object.keys(options.props || {});\n    hyphenatedPropsList = propsList.map(hyphenate);\n    camelizedPropsList = propsList.map(camelize);\n    const originalPropsAsObject = Array.isArray(options.props) ? {} : options.props || {};\n    camelizedPropsMap = camelizedPropsList.reduce((map, key, i) => {\n      map[key] = originalPropsAsObject[propsList[i]];\n      return map\n    }, {});\n\n    // proxy $emit to native DOM events\n    injectHook(options, 'beforeCreate', function () {\n      const emit = this.$emit;\n      this.$emit = (name, ...args) => {\n        this.$root.$options.customElement.dispatchEvent(createCustomEvent(name, args));\n        return emit.call(this, name, ...args)\n      };\n    });\n\n    injectHook(options, 'created', function () {\n      // sync default props values to wrapper on created\n      camelizedPropsList.forEach(key => {\n        this.$root.props[key] = this[key];\n      });\n    });\n\n    // proxy props as Element properties\n    camelizedPropsList.forEach(key => {\n      Object.defineProperty(CustomElement.prototype, key, {\n        get () {\n          return this._wrapper.props[key]\n        },\n        set (newVal) {\n          this._wrapper.props[key] = newVal;\n        },\n        enumerable: false,\n        configurable: true\n      });\n    });\n\n    isInitialized = true;\n  }\n\n  function syncAttribute (el, key) {\n    const camelized = camelize(key);\n    const value = el.hasAttribute(key) ? el.getAttribute(key) : undefined;\n    el._wrapper.props[camelized] = convertAttributeValue(\n      value,\n      key,\n      camelizedPropsMap[camelized]\n    );\n  }\n\n  class CustomElement extends HTMLElement {\n    constructor () {\n      const self = super();\n      self.attachShadow({ mode: 'open' });\n\n      const wrapper = self._wrapper = new Vue({\n        name: 'shadow-root',\n        customElement: self,\n        shadowRoot: self.shadowRoot,\n        data () {\n          return {\n            props: {},\n            slotChildren: []\n          }\n        },\n        render (h) {\n          return h(Component, {\n            ref: 'inner',\n            props: this.props\n          }, this.slotChildren)\n        }\n      });\n\n      // Use MutationObserver to react to future attribute & slot content change\n      const observer = new MutationObserver(mutations => {\n        let hasChildrenChange = false;\n        for (let i = 0; i < mutations.length; i++) {\n          const m = mutations[i];\n          if (isInitialized && m.type === 'attributes' && m.target === self) {\n            syncAttribute(self, m.attributeName);\n          } else {\n            hasChildrenChange = true;\n          }\n        }\n        if (hasChildrenChange) {\n          wrapper.slotChildren = Object.freeze(toVNodes(\n            wrapper.$createElement,\n            self.childNodes\n          ));\n        }\n      });\n      observer.observe(self, {\n        childList: true,\n        subtree: true,\n        characterData: true,\n        attributes: true\n      });\n    }\n\n    get vueComponent () {\n      return this._wrapper.$refs.inner\n    }\n\n    connectedCallback () {\n      const wrapper = this._wrapper;\n      if (!wrapper._isMounted) {\n        // initialize attributes\n        const syncInitialAttributes = () => {\n          wrapper.props = getInitialProps(camelizedPropsList);\n          hyphenatedPropsList.forEach(key => {\n            syncAttribute(this, key);\n          });\n        };\n\n        if (isInitialized) {\n          syncInitialAttributes();\n        } else {\n          // async & unresolved\n          Component().then(resolved => {\n            if (resolved.__esModule || resolved[Symbol.toStringTag] === 'Module') {\n              resolved = resolved.default;\n            }\n            initialize(resolved);\n            syncInitialAttributes();\n          });\n        }\n        // initialize children\n        wrapper.slotChildren = Object.freeze(toVNodes(\n          wrapper.$createElement,\n          this.childNodes\n        ));\n        wrapper.$mount();\n        this.shadowRoot.appendChild(wrapper.$el);\n      } else {\n        callHooks(this.vueComponent, 'activated');\n      }\n    }\n\n    disconnectedCallback () {\n      callHooks(this.vueComponent, 'deactivated');\n    }\n  }\n\n  if (!isAsync) {\n    initialize(Component);\n  }\n\n  return CustomElement\n}\n\nexport default wrap;\n","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('style-provider',[(_vm.resourcesObtained)?_c('div',{staticClass:\"flow-starter-modal\",attrs:{\"disabled\":true}},[_c('flow-starter-header',{attrs:{\"header-title\":_vm.headerTitle},on:{\"modal:close\":_vm.closeModal}}),_c('flow-starter-progress-indicator',{attrs:{\"steps\":_vm.flowSteps,\"show-progress-indicator\":_vm.showProgressIndicator}}),(_vm.selectedStepName === 'select')?_c('the-app',{attrs:{\"lang\":_vm.languageCode,\"wizard-options\":_vm.wizardOptions,\"set-language\":_vm.setLanguageLocale,\"is-full-design-path-enabled\":_vm.isFullDesignPathEnabled,\"is-full-design-with-artworks-path-enabled\":_vm.isFullDesignWithArtworksPathEnabled},on:{\"update:selected-method\":_vm.updateSelectedMethod},model:{value:(_vm.methodResults),callback:function ($$v) {_vm.methodResults=$$v},expression:\"methodResults\"}}):_vm._e(),(\n        _vm.isFullDesignWithArtworksPathEnabled &&\n        _vm.selectedMethod === 'Full design artworks' &&\n        _vm.selectedStepName === 'upload-file'\n      )?_c('div',[_c('full-design',{attrs:{\"prop-print-positions\":_vm.pdpChoices.productPrintPositions,\"selected-print-position\":_vm.pdpChoices.productPrintPositions[0],\"language-code\":_vm.languageCode,\"master-product-sku\":_vm.pdpChoices.masterProductSKU,\"sap-customer-id\":_vm.sapCustomerId,\"tok\":_vm.tok,\"context\":_vm.context,\"selected-print-position-data\":_vm.generateSelectedPrintPositionData(),\"selected-method\":_vm.selectedMethod,\"number-of-colors-per-print-position\":_vm.numberOfColorsPerPrintPosition,\"customer-company-logo-url\":_vm.customerCompanyLogoUrl,\"artwork-position-map\":_vm.artworkPositionMap,\"is-same-logo-for-all-print-positions\":_vm.isSameLogoForAllPrintPositions,\"product-variant-color\":_vm.pdpChoices.productVariants[0].variantColor},on:{\"update:next-button\":_vm.updateNextButton,\"uploaded:file\":(fileUploadedPayload) =>\n            _vm.fileUploadedSuccessfully(fileUploadedPayload),\"upload:reset\":(position) => _vm.removeUploadedFile(position),\"uploaded:uploading\":(uploading) => (_vm.isUploading = uploading),\"same-logo\":(isSameLogo, position) => _vm.handleSameLogo(isSameLogo, position),\"update:additional-files\":(files) => _vm.additionalFilesUploaded(files)}})],1):_vm._e(),(\n        (_vm.selectedMethod === 'Logo only' &&\n          _vm.selectedStepName === 'upload-logo') ||\n        (_vm.selectedMethod === 'Full design' &&\n          _vm.selectedStepName === 'upload-file' &&\n          !_vm.isFullDesignWithArtworksPathEnabled)\n      )?_c('div',[_c('upload-logo',{attrs:{\"language-code\":_vm.languageCode,\"master-product-sku\":_vm.pdpChoices.masterProductSKU,\"sap-customer-id\":_vm.sapCustomerId,\"tok\":_vm.tok,\"context\":_vm.context,\"selected-print-position-data\":_vm.generateSelectedPrintPositionData(),\"selected-method\":_vm.selectedMethod,\"number-of-colors-per-print-position\":_vm.numberOfColorsPerPrintPosition,\"customer-company-logo-url\":_vm.customerCompanyLogoUrl},on:{\"update:next-button\":(isValid) => (_vm.isFileUploaded = isValid),\"uploaded:file\":(fileUploadedPayload) =>\n            _vm.fileUploadedSuccessfully(fileUploadedPayload),\"upload:reset\":function($event){_vm.uploadedArtworks = []},\"uploaded:uploading\":(uploading) => (_vm.isUploading = uploading)}})],1):_vm._e(),(\n        _vm.selectedMethod === 'Logo only' && _vm.selectedStepName === 'upload-logo'\n      )?_c('div',{staticClass:\"redirect-to-wizard\"},[_c('tools-alt-20'),_c('div',{staticClass:\"redirect-to-wizard-text\"},[_c('p',[_vm._v(\" \"+_vm._s(_vm.$t('flow-starter.wizard-redirect-message'))+\" \")]),_c('p',{class:_vm.isUploading\n              ? 'redirect-to-wizard-disabled'\n              : 'redirect-to-wizard-link',attrs:{\"id\":\"redirect-to-wizard\",\"href\":\"\"},on:{\"click\":_vm.redirectToWizard}},[_vm._v(\" \"+_vm._s(_vm.$t('flow-starter.wizard-redirct-link'))+\" \")])])],1):_vm._e(),(_vm.selectedStepName === 'small-details')?_c('div',{staticStyle:{\"height\":\"410px\"}},[_c('small-details-logo-only',{attrs:{\"small-details-result\":_vm.smallDetailsResult,\"uploaded-file-name\":_vm.uploadedArtworks[0].fileName,\"uploaded-file\":_vm.uploadedArtworks[0].pngFile}})],1):_vm._e(),(_vm.selectedStepName === 'order-overview')?_c('div',{staticStyle:{\"height\":\"410px\"}},[_c('order-overview',{attrs:{\"price-details\":_vm.priceDetails,\"pdp-choices\":_vm.pdpChoices,\"product-print-data\":_vm.productPrintData,\"uploaded-file-data\":_vm.uploadedFileData,\"lang\":_vm.languageCode,\"is-loading-spinner-active\":_vm.isSpinnerActive,\"selected-method\":_vm.selectedMethod,\"errors\":_vm.errors,\"is-detail-lost\":_vm.isDetailLost,\"is-full-design-with-artworks-path-enabled\":_vm.isFullDesignWithArtworksPathEnabled}})],1):_vm._e(),(\n        _vm.selectedMethod === 'Logo only' &&\n        _vm.selectedStepName === 'order-overview'\n      )?_c('div',{staticClass:\"redirect-to-wizard\"},[_c('tools-alt-20'),_c('div',{staticClass:\"redirect-to-wizard-text\"},[_c('p',[_vm._v(\" \"+_vm._s(_vm.$t('flow-starter.wizard-redirect-message'))+\" \")]),_c('p',{class:_vm.isUploading\n              ? 'redirect-to-wizard-disabled'\n              : 'redirect-to-wizard-link',attrs:{\"href\":\"\"},on:{\"click\":_vm.redirectToWizard}},[_vm._v(\" \"+_vm._s(_vm.$t('flow-starter.wizard-redirct-link'))+\" \")])])],1):_vm._e(),_c('flow-starter-footer',{attrs:{\"is-method-selected\":_vm.isMethodSelected,\"previous-step-exists\":_vm.previousStepExists,\"next-step-exists\":_vm.nextStepExists,\"is-file-valid\":_vm.isFileValid,\"is-file-uploaded\":_vm.isFileUploaded,\"selected-method\":_vm.selectedMethod,\"is-create-personalization-successful\":_vm.isCreatePersonalizationSuccessful,\"is-detail-lost\":_vm.isDetailLost && !_vm.isConfirmed,\"is-analysis-in-progress\":_vm.isAnalysisInProgress,\"is-same-logo-for-all-print-positions\":_vm.isSameLogoForAllPrintPositions,\"errors\":_vm.errors},on:{\"modal:close\":_vm.closeModal,\"navigation:previous\":_vm.goToPreviousStep,\"navigation:next\":_vm.goToNextStep,\"navigation:add-to-cart\":_vm.addToCart}})],1):_vm._e()])\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('div',{staticClass:\"flow-starter\"},[_c('div',{staticClass:\"personalisation-method-selector-manager\"},[_c('method-selector-tile',{attrs:{\"id\":\"logo-only\",\"method-name\":\"logoOnly\",\"method-title\":_vm.$t('flow-starter.methods.logo-only'),\"method-items\":_vm.methodOptions.logoOnlyMethodInformation.items,\"method-item-availabilities\":_vm.methodOptions.logoOnlyMethodInformation.itemAvalabilities},on:{\"update:selected-method\":(selectedMethod) => {\n          _vm.$emit('update:selected-method', selectedMethod);\n          _vm.isMethodPreselected = false;\n        }},model:{value:(_vm.methodResults),callback:function ($$v) {_vm.methodResults=$$v},expression:\"methodResults\"}}),(_vm.wizardOptions.showCurrentVersion)?_c('method-selector-tile',{staticClass:\"tile--middle\",attrs:{\"id\":\"wizard\",\"method-name\":\"personalise\",\"is-method-preselected\":_vm.isMethodPreselected && _vm.wizardOptions.showCurrentVersion,\"method-title\":_vm.$t('flow-starter.methods.design-own-proof'),\"method-items\":_vm.methodOptions.personaliseMethodInformation.items,\"method-item-availabilities\":_vm.methodOptions.personaliseMethodInformation.itemAvalabilities},on:{\"update:selected-method\":(selectedMethod) => _vm.$emit('update:selected-method', selectedMethod)},model:{value:(_vm.methodResults),callback:function ($$v) {_vm.methodResults=$$v},expression:\"methodResults\"}}):_vm._e(),(_vm.wizardOptions.showNextVersion)?_c('method-selector-tile',{staticClass:\"tile--middle\",attrs:{\"id\":\"wizard\",\"method-name\":\"personaliseNew\",\"is-method-preselected\":_vm.isMethodPreselected && !_vm.wizardOptions.showCurrentVersion,\"method-title\":_vm.$t('flow-starter.methods.design-own-proof'),\"method-items\":_vm.methodOptions.personaliseMethodInformation.items,\"method-item-availabilities\":_vm.methodOptions.personaliseMethodInformation.itemAvalabilities},on:{\"update:selected-method\":(selectedMethod) => _vm.$emit('update:selected-method', selectedMethod)},model:{value:(_vm.methodResults),callback:function ($$v) {_vm.methodResults=$$v},expression:\"methodResults\"}}):_vm._e(),(_vm.isFullDesignPathEnabled)?_c('method-selector-tile',{attrs:{\"id\":\"own-design\",\"method-name\":\"fullDesign\",\"method-title\":_vm.$t('flow-starter.methods.upload-own-design'),\"method-items\":_vm.methodOptions.fullDesignMethodInformation.items,\"method-item-availabilities\":_vm.methodOptions.fullDesignMethodInformation.itemAvalabilities},on:{\"update:selected-method\":(selectedMethod) => {\n          _vm.$emit('update:selected-method', selectedMethod);\n          _vm.isMethodPreselected = false;\n        }},model:{value:(_vm.methodResults),callback:function ($$v) {_vm.methodResults=$$v},expression:\"methodResults\"}}):_vm._e(),(_vm.isFullDesignWithArtworksPathEnabled)?_c('method-selector-tile',{attrs:{\"id\":\"own-design-artworks\",\"method-name\":\"fullDesignArtworks\",\"method-title\":_vm.$t('flow-starter.methods.upload-own-design'),\"method-items\":_vm.methodOptions.fullDesignMethodInformation.items,\"method-item-availabilities\":_vm.methodOptions.fullDesignMethodInformation.itemAvalabilities},on:{\"update:selected-method\":(selectedMethod) => {\n          _vm.$emit('update:selected-method', selectedMethod);\n          _vm.isMethodPreselected = false;\n        }},model:{value:(_vm.methodResults),callback:function ($$v) {_vm.methodResults=$$v},expression:\"methodResults\"}}):_vm._e()],1)])\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('div',{class:[\n    _vm.currentMethodSelected.isSelected\n      ? 'active-tile method--selector tile--all'\n      : 'not-active-tile method--selector tile--all',\n  ]},[(_vm.methodName === 'personalise')?_c('div',{staticClass:\"method--most-used\"},[_vm._v(\" \"+_vm._s(_vm.$t('flow-starter.label.most-used'))+\" \")]):_vm._e(),(_vm.methodName === 'personaliseNew')?_c('div',{staticClass:\"method--most-used\"},[_vm._v(\" \"+_vm._s('New')+\" \")]):_vm._e(),(_vm.methodName !== 'personalise' && _vm.methodName !== 'personaliseNew')?_c('div',{staticClass:\"method--simple\"},[_vm._v(\" \"+_vm._s(_vm.$t('flow-starter.label.simple'))+\" \")]):_vm._e(),_c('cv-tile',{attrs:{\"kind\":\"selectable\",\"value\":_vm.methodName,\"name\":_vm.methodName,\"selected\":_vm.currentMethodSelected.isSelected || _vm.isMethodPreselected},on:{\"change\":_vm.onChange}},[_c('div',{staticStyle:{\"width\":\"90%\"}},[(_vm.methodName !== 'logoOnly')?_c('div',{staticClass:\"method--title\"},[_c('span',[_vm._v(_vm._s(_vm.methodTitle))])]):_vm._e(),(_vm.methodName === 'logoOnly')?_c('div',{staticClass:\"method--title\"},[_c('span',[_vm._v(_vm._s(_vm.methodTitle))])]):_vm._e()]),_c('div',{staticClass:\"method-center\"},[_c('div',{staticClass:\"method--description\"},[_vm._l((_vm.methodItems),function(methodItem,index){return _c('div',{key:index,staticClass:\"method--description-item\"},[(index === 0 && _vm.methodName === 'logoOnly')?_c('span',{staticClass:\"method--description-item-availability method--description-item-availability--available\"},[_c('checkmark-16')],1):_vm._e(),(_vm.methodName !== 'logoOnly')?_c('span',{staticClass:\"method--description-item-availability method--description-item-availability--available\"},[_c('checkmark-16')],1):_vm._e(),(index > 0 && _vm.methodName === 'logoOnly')?_c('span',{staticClass:\"method--description-item-availability method--description-item-availability--unavailable-close\"},[_c('close-16')],1):_vm._e(),_c('span',{staticClass:\"method--description-item-availability method--description-item-name\",style:({\n              'text-decoration':\n                index > 0 && _vm.methodName === 'logoOnly'\n                  ? 'line-through'\n                  : 'none',\n            })},[_vm._v(_vm._s(methodItem)+\" \")])])}),_c('div',{staticClass:\"method--description-item\",staticStyle:{\"margin-top\":\"15px\"}},[(\n              _vm.methodName === 'personalise' || _vm.methodName === 'personaliseNew'\n            )?_c('span',{staticClass:\"method--description-item-availability method--description-item-availability--available method--description-item-name\"},[_vm._v(_vm._s(_vm.$t('flow-starter.items.ready-for-production-in-30-minutes'))+\" \")]):_vm._e()])],2)])])],1)\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","/**\n * Copyright IBM Corp. 2019, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nimport { c as createSVGComponent } from '../utils-9450cd75.js';\nimport '@carbon/icon-helpers';\nimport 'vue';\n\nconst Checkmark16 = createSVGComponent('Checkmark16', {\n  \"xmlns\": \"http://www.w3.org/2000/svg\",\n  \"viewBox\": \"0 0 32 32\",\n  \"fill\": \"currentColor\",\n  \"width\": 16,\n  \"height\": 16\n}, [{\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M13 24L4 15 5.414 13.586 13 21.171 26.586 7.586 28 9 13 24z\"\n  }\n}]);\n\nexport { Checkmark16 as default };\n","\r\nimport Vue, { PropType } from 'vue';\r\nimport Close16 from '@carbon/icons-vue/es/close/16';\r\nimport Checkmark16 from '@carbon/icons-vue/es/checkmark/16';\r\nimport { CvTile } from '@carbon/vue';\r\nimport { MethodResult, MethodResultData } from '../../typings/index';\r\n\r\nconst LOGO_ONLY = 'Logo only';\r\nconst PERSONALISE = 'Personalise';\r\nconst PERSONALISE_NEW = 'PersonaliseNew';\r\nconst FULL_DESIGN = 'Full design';\r\nconst FULL_DESIGN_ARTWORKS = 'Full design artworks';\r\nconst SELECT_PERSONALISE_METHOD = 'Select personalise method';\r\n\r\nexport default Vue.extend({\r\n  components: { Checkmark16, Close16, CvTile },\r\n\r\n  model: {\r\n    prop: 'methodResults',\r\n  },\r\n\r\n  props: {\r\n    methodTitle: {\r\n      type: String,\r\n      required: true,\r\n    },\r\n    methodName: {\r\n      type: String,\r\n      required: true,\r\n    },\r\n    methodItems: {\r\n      type: Array as PropType<string[]>,\r\n      required: true,\r\n    },\r\n    methodItemAvailabilities: {\r\n      type: Array as PropType<boolean[]>,\r\n      required: true,\r\n    },\r\n    methodResults: {\r\n      type: Object as PropType<MethodResult>,\r\n      required: true,\r\n    },\r\n    isMethodPreselected: {\r\n      type: Boolean,\r\n      required: false,\r\n    },\r\n  },\r\n\r\n  data() {\r\n    return {\r\n      isSelected: false,\r\n      currentMethodSelected: {\r\n        methodName: '',\r\n        isSelected: false,\r\n      } as MethodResultData,\r\n    };\r\n  },\r\n\r\n  created() {\r\n    if (this.methodName === 'personalise' && this.isMethodPreselected) {\r\n      this.currentMethodSelected = this.methodResults['personalise'];\r\n      this.currentMethodSelected.isSelected = true;\r\n\r\n      this.methodResults['logoOnly'].isSelected = false;\r\n      this.methodResults['personaliseNew'].isSelected = false;\r\n      this.methodResults['fullDesign'].isSelected = false;\r\n      this.methodResults['fullDesignArtworks'].isSelected = false;\r\n\r\n      this.$emit('update:selected-method', PERSONALISE);\r\n\r\n      return;\r\n    }\r\n    if (this.methodName === 'personaliseNew' && this.isMethodPreselected) {\r\n      this.currentMethodSelected = this.methodResults['personaliseNew'];\r\n      this.currentMethodSelected.isSelected = true;\r\n\r\n      this.methodResults['logoOnly'].isSelected = false;\r\n      this.methodResults['fullDesign'].isSelected = false;\r\n      this.methodResults['fullDesignArtworks'].isSelected = false;\r\n\r\n      this.$emit('update:selected-method', PERSONALISE_NEW);\r\n\r\n      return;\r\n    }\r\n  },\r\n\r\n  methods: {\r\n    onChange(event: boolean) {\r\n      if (event) {\r\n        if (this.methodName === 'logoOnly') {\r\n          this.currentMethodSelected = this.methodResults['logoOnly'];\r\n          this.currentMethodSelected.isSelected = event;\r\n\r\n          this.methodResults['personalise'].isSelected = false;\r\n          this.methodResults['personaliseNew'].isSelected = false;\r\n          this.methodResults['fullDesign'].isSelected = false;\r\n          this.methodResults['fullDesignArtworks'].isSelected = false;\r\n\r\n          this.$emit('update:selected-method', LOGO_ONLY);\r\n\r\n          return;\r\n        }\r\n\r\n        if (this.methodName === 'personalise') {\r\n          this.currentMethodSelected = this.methodResults['personalise'];\r\n          this.currentMethodSelected.isSelected = event;\r\n\r\n          this.methodResults['personaliseNew'].isSelected = false;\r\n          this.methodResults['logoOnly'].isSelected = false;\r\n          this.methodResults['fullDesign'].isSelected = false;\r\n          this.methodResults['fullDesignArtworks'].isSelected = false;\r\n\r\n          this.$emit('update:selected-method', PERSONALISE);\r\n\r\n          return;\r\n        }\r\n\r\n        if (this.methodName === 'personaliseNew') {\r\n          this.currentMethodSelected = this.methodResults['personaliseNew'];\r\n          this.currentMethodSelected.isSelected = event;\r\n\r\n          this.methodResults['personalise'].isSelected = false;\r\n          this.methodResults['logoOnly'].isSelected = false;\r\n          this.methodResults['fullDesign'].isSelected = false;\r\n          this.methodResults['fullDesignArtworks'].isSelected = false;\r\n\r\n          this.$emit('update:selected-method', PERSONALISE_NEW);\r\n\r\n          return;\r\n        }\r\n\r\n        if (this.methodName === 'fullDesign') {\r\n          this.currentMethodSelected = this.methodResults['fullDesign'];\r\n          this.currentMethodSelected.isSelected = event;\r\n\r\n          this.methodResults['personaliseNew'].isSelected = false;\r\n          this.methodResults['personalise'].isSelected = false;\r\n          this.methodResults['logoOnly'].isSelected = false;\r\n          this.methodResults['fullDesignArtworks'].isSelected = false;\r\n\r\n          this.$emit('update:selected-method', FULL_DESIGN);\r\n\r\n          return;\r\n        }\r\n\r\n        if (this.methodName === 'fullDesignArtworks') {\r\n          this.currentMethodSelected = this.methodResults['fullDesignArtworks'];\r\n          this.currentMethodSelected.isSelected = event;\r\n\r\n          this.methodResults['personalise'].isSelected = false;\r\n          this.methodResults['logoOnly'].isSelected = false;\r\n          this.methodResults['fullDesign'].isSelected = false;\r\n\r\n          this.$emit('update:selected-method', FULL_DESIGN_ARTWORKS);\r\n\r\n          return;\r\n        }\r\n\r\n        return;\r\n      }\r\n\r\n      this.methodResults['logoOnly'].isSelected = false;\r\n      this.methodResults['personalise'].isSelected = false;\r\n      this.methodResults['fullDesign'].isSelected = false;\r\n      this.methodResults['fullDesignArtworks'].isSelected = false;\r\n\r\n      this.$emit('update:selected-method', SELECT_PERSONALISE_METHOD);\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./MethodSelectorTile.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./MethodSelectorTile.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./MethodSelectorTile.vue?vue&type=template&id=28284726\"\nimport script from \"./MethodSelectorTile.vue?vue&type=script&lang=ts\"\nexport * from \"./MethodSelectorTile.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./MethodSelectorTile.vue?vue&type=style&index=0&id=28284726&prod&lang=scss\")\nif (style0.__inject__) style0.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  null,\n  null\n  ,true\n)\n\nexport default component.exports","\r\nimport Vue, { PropType } from 'vue';\r\nimport { MethodOptions, MethodResult } from './typings/index';\r\nimport { MethodSelectorTile } from './components/MethodSelectorTile';\r\nimport { SupportedLangCodes } from '../../constants/languageCodes';\r\nimport { mapState } from 'pinia';\r\nimport { useStore as useLangStore } from '@/stores/lang';\r\n\r\nexport default Vue.extend({\r\n  components: {\r\n    MethodSelectorTile,\r\n  },\r\n\r\n  model: {\r\n    prop: 'methodResults',\r\n    event: 'update:method-results',\r\n  },\r\n\r\n  props: {\r\n    lang: {\r\n      type: String as PropType<SupportedLangCodes>,\r\n      required: false,\r\n      default: 'en',\r\n    },\r\n    setLanguage: {\r\n      type: Function,\r\n      required: true,\r\n    },\r\n    methodResults: {\r\n      type: Object as PropType<MethodResult>,\r\n      required: true,\r\n    },\r\n    isFullDesignPathEnabled: {\r\n      type: Boolean,\r\n      default: false,\r\n    },\r\n    isFullDesignWithArtworksPathEnabled: {\r\n      type: Boolean,\r\n      default: false,\r\n    },\r\n    wizardOptions: {\r\n      type: Object,\r\n      default() {\r\n        return {\r\n          showCurrentVersion: true,\r\n          showNextVersion: false,\r\n        };\r\n      },\r\n    },\r\n  },\r\n\r\n  data() {\r\n    return {\r\n      activeLanguage: this.lang,\r\n      methodOptions: {\r\n        logoOnlyMethodInformation: {\r\n          items: [\r\n            this.$t('flow-starter.items.upload-logo'),\r\n            this.$t('flow-starter.items.add-text'),\r\n            this.$t('flow-starter.items.various-print-positions'),\r\n            this.$t('flow-starter.items.multiple-logos-per-print-position'),\r\n            this.$t('flow-starter.items.different-design-options'),\r\n          ],\r\n          itemAvalabilities: [true, true, true, true],\r\n        },\r\n        personaliseMethodInformation: {\r\n          items: [\r\n            this.$t('flow-starter.items.upload-logo'),\r\n            this.$t('flow-starter.items.add-text'),\r\n            this.$t('flow-starter.items.various-print-positions'),\r\n            this.$t('flow-starter.items.multiple-logos-per-print-position'),\r\n            this.$t('flow-starter.items.different-design-options'),\r\n          ],\r\n          itemAvalabilities: [true, true, true, true, true, true],\r\n        },\r\n        fullDesignMethodInformation: {\r\n          items: [\r\n            this.$t('flow-starter.items.especially-available-for-you'),\r\n            this.$t('flow-starter.items.upload-your-own-designed-proof'),\r\n          ],\r\n          itemAvalabilities: [true, true],\r\n        },\r\n      } as MethodOptions,\r\n      isMethodPreselected: true,\r\n    };\r\n  },\r\n\r\n  computed: {\r\n    switchToLang(): string {\r\n      return this.activeLanguage === 'en' ? 'nl' : 'en';\r\n    },\r\n    ...mapState(useLangStore, ['languageInUse']),\r\n  },\r\n\r\n  watch: {\r\n    async languageInUse() {\r\n      this.methodOptions = {\r\n        logoOnlyMethodInformation: {\r\n          items: [\r\n            this.$t('flow-starter.items.upload-one-logo').toString(),\r\n            this.$t(\r\n              'flow-starter.items.logo-centralized-on-print-position'\r\n            ).toString(),\r\n            this.$t('flow-starter.items.maximal-print-size-is-used').toString(),\r\n            this.$t(\r\n              'flow-starter.items.receive-your-proof-within-two-hours'\r\n            ).toString(),\r\n          ],\r\n          itemAvalabilities: [true, true, true, true],\r\n        },\r\n        personaliseMethodInformation: {\r\n          items: [\r\n            this.$t('flow-starter.items.upload-logo').toString(),\r\n            this.$t('flow-starter.items.possible-to-add-text').toString(),\r\n            this.$t('flow-starter.items.various-print-positions').toString(),\r\n            this.$t(\r\n              'flow-starter.items.multiple-logos-per-print-position'\r\n            ).toString(),\r\n            this.$t('flow-starter.items.different-design-options').toString(),\r\n          ],\r\n          itemAvalabilities: [true, true, true, true, true, true],\r\n        },\r\n        fullDesignMethodInformation: {\r\n          items: [\r\n            this.$t(\r\n              'flow-starter.items.especially-available-for-you'\r\n            ).toString(),\r\n            this.$t(\r\n              'flow-starter.items.upload-your-own-designed-proof'\r\n            ).toString(),\r\n          ],\r\n          itemAvalabilities: [true, true],\r\n        },\r\n      };\r\n    },\r\n  },\r\n\r\n  methods: {\r\n    switchLang() {\r\n      if (this.$route?.query?.lang === this.switchToLang) return;\r\n      try {\r\n        this.$router.push({\r\n          query: {\r\n            lang: this.switchToLang,\r\n          },\r\n        });\r\n      } catch (e) {\r\n        // Here we know, that we are not in the dev app context\r\n        // as $router is not available\r\n        this.activeLanguage = this.switchToLang;\r\n        this.setLanguage(this.activeLanguage);\r\n      }\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/ts-loader/index.js??ref--15-2!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./TheApp.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/ts-loader/index.js??ref--15-2!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./TheApp.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./TheApp.vue?vue&type=template&id=3d29fcab\"\nimport script from \"./TheApp.vue?vue&type=script&lang=ts\"\nexport * from \"./TheApp.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./TheApp.vue?vue&type=style&index=0&id=3d29fcab&prod&lang=scss\")\nif (style0.__inject__) style0.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  null,\n  null\n  ,true\n)\n\nexport default component.exports","/**\r\n *\r\n * @param lang language locale attribute\r\n * @returns true|false validator status\r\n */\r\nconst isValidLanguageValidator: (lang: string) => boolean = (lang: string) =>\r\n  [\r\n    'en',\r\n    'nl',\r\n    'it',\r\n    'fr',\r\n    'hu',\r\n    'cs',\r\n    'pl',\r\n    'ro',\r\n    'es',\r\n    'pt',\r\n    'de',\r\n    'sv',\r\n    'fi',\r\n    'none',\r\n  ].includes(lang);\r\n\r\nexport default isValidLanguageValidator;\r\n","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('div',{staticClass:\"flow-starter__header\"},[_c('div',{staticClass:\"flow-starter__title\"},[_vm._v(_vm._s(_vm.headerTitle))]),_c('div',{staticClass:\"flow-starter__close-btn\"},[_c('cv-button',{attrs:{\"size\":\"small\",\"kind\":\"ghost\"},on:{\"click\":function($event){return _vm.$emit('modal:close')}}},[_c('close-16',{staticClass:\"bx--btn__icon bx--btn__color\"})],1)],1)])\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","\r\nimport Vue from 'vue';\r\nimport { CvButton } from '@carbon/vue';\r\nimport Close16 from '@carbon/icons-vue/es/close/16';\r\n\r\nexport default Vue.extend({\r\n  components: { CvButton, Close16 },\r\n  props: {\r\n    headerTitle: {\r\n      type: String,\r\n      required: true,\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./Header.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./Header.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./Header.vue?vue&type=template&id=d760b6d6&scoped=true\"\nimport script from \"./Header.vue?vue&type=script&lang=ts\"\nexport * from \"./Header.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./Header.vue?vue&type=style&index=0&id=d760b6d6&prod&lang=scss&scoped=true\")\nif (style0.__inject__) style0.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  \"d760b6d6\",\n  null\n  ,true\n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('div',{staticClass:\"progress-indicator\"},[(_vm.showProgressIndicator)?_c('cv-progress',_vm._l((_vm.steps),function(step,index){return _c('cv-progress-step',{key:index,staticClass:\"position\",attrs:{\"label\":_vm.$t(`flow-starter.progress-indicator.${step.name}`),\"complete\":step.isCompleted,\"invalid\":step.isInvalid}})}),1):_vm._e()],1)\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","\r\nimport Vue, { PropType } from 'vue';\r\nimport { CvProgress, CvProgressStep } from '@carbon/vue';\r\nimport { FlowStep } from '../../typings/index';\r\n\r\nexport default Vue.extend({\r\n  components: { CvProgress, CvProgressStep },\r\n  props: {\r\n    steps: {\r\n      type: [] as PropType<FlowStep[]>,\r\n      required: true,\r\n    },\r\n    showProgressIndicator: {\r\n      type: Boolean,\r\n      required: true,\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./ProgressIndicator.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./ProgressIndicator.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./ProgressIndicator.vue?vue&type=template&id=28c1ca33\"\nimport script from \"./ProgressIndicator.vue?vue&type=script&lang=ts\"\nexport * from \"./ProgressIndicator.vue?vue&type=script&lang=ts\"\n\n\n/* normalize component */\nimport normalizer from \"!../../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  null,\n  null,\n  null\n  ,true\n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('div',{staticClass:\"flow-starter-footer\"},[_c('div',{staticClass:\"flow-starter-footer--cancel\"},[_c('cv-link',{attrs:{\"data-testid\":\"flow-starter-footer--cancel\"},on:{\"click\":function($event){return _vm.$emit('modal:close')}}},[_vm._v(\" \"+_vm._s(_vm.$t('section.actions.cancel'))+\" \")])],1),_c('div',{staticClass:\"item-actions\"},[_c('div',{staticClass:\"flow-starter-footer--flexend\"},[(_vm.previousStepExists)?_c('cv-button',{staticClass:\"button\",attrs:{\"size\":\"lg\",\"kind\":\"secondary\",\"disabled\":_vm.isAnalysisInProgress},on:{\"click\":function($event){return _vm.$emit('navigation:previous')}}},[_vm._v(\" \"+_vm._s(_vm.$t('section.actions.previous'))+\" \")]):_vm._e(),(_vm.nextStepExists)?_c('cv-button',{staticClass:\"button nextButton\",attrs:{\"disabled\":_vm.isDisabled(),\"size\":\"lg\",\"kind\":\"primary\"},on:{\"click\":function($event){return _vm.$emit('navigation:next')}}},[_vm._v(\" \"+_vm._s(_vm.$t('section.actions.next'))+\" \")]):_vm._e(),(!_vm.nextStepExists)?_c('cv-button',{staticClass:\"button\",attrs:{\"disabled\":!_vm.nextStepExists &&\n          _vm.errors.length === 0 &&\n          _vm.isCreatePersonalizationSuccessful,\"size\":\"lg\",\"kind\":\"primary\"},on:{\"click\":function($event){return _vm.$emit('navigation:add-to-cart')}}},[_vm._v(\" \"+_vm._s(_vm.$t('section.actions.add-to-cart'))+\" \")]):_vm._e()],1)])])\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","\r\nimport Vue, { PropType } from 'vue';\r\nimport { CvButton, CvLink } from '@carbon/vue';\r\nimport { AxiosError } from 'axios';\r\n\r\nexport default Vue.extend({\r\n  components: { CvButton, CvLink },\r\n  props: {\r\n    isMethodSelected: {\r\n      type: Boolean,\r\n      required: true,\r\n    },\r\n    previousStepExists: {\r\n      type: Boolean,\r\n      required: true,\r\n    },\r\n    nextStepExists: {\r\n      type: Boolean,\r\n      required: true,\r\n    },\r\n    isFileValid: {\r\n      type: Boolean,\r\n      default: false,\r\n    },\r\n    isDetailLost: {\r\n      type: Boolean,\r\n      default: false,\r\n    },\r\n    isCreatePersonalizationSuccessful: {\r\n      type: Boolean,\r\n      default: false,\r\n    },\r\n    errors: {\r\n      type: [] as PropType<AxiosError[]>,\r\n      default: [],\r\n    },\r\n    selectedMethod: {\r\n      type: String,\r\n      required: true,\r\n    },\r\n    isFileUploaded: {\r\n      type: Boolean,\r\n      default: false,\r\n    },\r\n    isAnalysisInProgress: {\r\n      type: Boolean,\r\n      default: false,\r\n    },\r\n  },\r\n\r\n  methods: {\r\n    isDisabled(): boolean {\r\n      if (\r\n        this.selectedMethod === 'Full design' ||\r\n        this.selectedMethod === 'Full design artworks'\r\n      ) {\r\n        return !(\r\n          this.nextStepExists &&\r\n          (this.isMethodSelected || this.isFileUploaded)\r\n        );\r\n      }\r\n\r\n      return !(\r\n        this.nextStepExists &&\r\n        (this.isMethodSelected ||\r\n          (this.isFileValid &&\r\n            this.isFileUploaded &&\r\n            !this.isDetailLost &&\r\n            !this.isAnalysisInProgress))\r\n      );\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./Footer.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./Footer.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./Footer.vue?vue&type=template&id=ca9025c8&scoped=true\"\nimport script from \"./Footer.vue?vue&type=script&lang=ts\"\nexport * from \"./Footer.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./Footer.vue?vue&type=style&index=0&id=ca9025c8&prod&lang=scss&scoped=true\")\nif (style0.__inject__) style0.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  \"ca9025c8\",\n  null\n  ,true\n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('style-provider',[_c('the-app',{attrs:{\"price-details\":_vm.priceDetails,\"pdp-choices\":_vm.pdpChoices,\"product-print-data\":_vm.productPrintData,\"uploaded-file-data\":_vm.uploadedFileData,\"lang\":_vm.lang,\"is-loading-spinner-active\":_vm.isLoadingSpinnerActive,\"selected-method\":_vm.selectedMethod,\"errors\":_vm.errors,\"is-detail-lost\":_vm.isDetailLost,\"is-full-design-with-artworks-path-enabled\":_vm.isFullDesignWithArtworksPathEnabled}})],1)\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('div',[_c('div',{staticClass:\"customer-logo\"},[_c('cv-loading',{attrs:{\"active\":_vm.isLoadingSpinnerActive,\"overlay\":\"\"}}),(_vm.selectedMethod === 'Logo only')?_c('div',{staticClass:\"inline-notification__wrapper\"},[_c('cv-inline-notification',{attrs:{\"title\":_vm.$t('upload-logo.inline-notification.logo-uploading-information'),\"sub-title\":_vm.generateNotificationSubTitle(),\"hide-close-button\":true}})],1):_vm._e(),(_vm.selectedMethod === 'Full design artworks')?_c('order-overview-product-data-artworks',{attrs:{\"title\":_vm.title,\"file-url\":_vm.fileUrl,\"master-product-sku\":_vm.masterProductSku,\"product-description\":_vm.productDescription,\"uploaded-file-data\":_vm.uploadedFileData,\"selected-method\":_vm.selectedMethod,\"is-detail-lost\":_vm.isDetailLost,\"product-print-data\":_vm.productPrintData,\"product-variant-color\":_vm.pdpChoices.productVariants[0].variantColor}}):_vm._e(),(_vm.selectedMethod !== 'Full design artworks')?_c('order-overview-product-data',{attrs:{\"title\":_vm.title,\"file-url\":_vm.fileUrl,\"master-product-sku\":_vm.masterProductSku,\"product-description\":_vm.productDescription,\"uploaded-file-data\":_vm.uploadedFileData[0],\"selected-method\":_vm.selectedMethod,\"is-detail-lost\":_vm.isDetailLost}}):_vm._e(),_c('product-variations',{attrs:{\"product-variants\":_vm.pdpChoices.productVariants}}),_c('total-pricing',{attrs:{\"lang\":_vm.lang,\"pricing-data\":_vm.priceDetails,\"pdp-choices-data\":_vm.pdpChoices,\"product-print-data\":_vm.productPrintData}}),(_vm.errors.length > 0)?_c('div',{staticClass:\"inline-notification__wrapper\"},[_c('cv-inline-notification',{attrs:{\"kind\":\"error\",\"title\":_vm.$t('section.errors.personalization-problem'),\"sub-title\":_vm.$t('section.errors.problems-creating-personalization'),\"hide-close-button\":true}})],1):_vm._e()],1)])\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('div',[_c('span',{staticClass:\"Uploaded-logo\"},[_vm._v(\" \"+_vm._s(_vm.title)+\" \")]),_c('div',{staticClass:\"logo-content\"},[_c('div',{staticClass:\"logo-information\"},[_c('div',[_c('img',{staticClass:\"image\",attrs:{\"src\":_vm.fileUrl}})]),_c('div',{staticClass:\"file-name-and-meta\"},[_c('span',{staticClass:\"filename body-short-01-text-01\"},[_vm._v(\" \"+_vm._s(_vm.uploadedFileData.fileName)+\" \")]),(_vm.selectedMethod === 'Logo only')?_c('span',{staticClass:\"meta-label label-01-text-02\"},[_vm._v(\" \"+_vm._s(_vm.$tc( 'print-position.number-colours', _vm.uploadedFileData.pmsColorsInPngFile.length, { number: _vm.uploadedFileData.pmsColorsInPngFile.length, } ))+\" \")]):_vm._e()])]),(_vm.isDetailLost)?_c('div',[_c('span',{staticClass:\"Warning-message\"},[_vm._v(\" \"+_vm._s(_vm.$t('small-details.description.logo-only-warning'))+\" \")])]):_vm._e()])])\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","\r\nimport { ArtworkResult } from '@/components/w2pFileUploader';\r\nimport Vue, { PropType } from 'vue';\r\n\r\nexport default Vue.extend({\r\n  props: {\r\n    title: {\r\n      type: String,\r\n      required: true,\r\n    },\r\n    masterProductSku: {\r\n      type: String,\r\n      default: '',\r\n    },\r\n    productDescription: {\r\n      type: String,\r\n      default: '',\r\n    },\r\n    uploadedFileData: {\r\n      type: Object as PropType<ArtworkResult>,\r\n      default: {},\r\n    },\r\n    fileUrl: {\r\n      type: String,\r\n      default: '',\r\n    },\r\n    selectedMethod: {\r\n      type: String,\r\n      required: true,\r\n    },\r\n    isDetailLost: {\r\n      type: Boolean,\r\n      default: false,\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../node_modules/babel-loader/lib/index.js!../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./OrderOverviewProductData.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../node_modules/babel-loader/lib/index.js!../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./OrderOverviewProductData.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./OrderOverviewProductData.vue?vue&type=template&id=7df16423&scoped=true\"\nimport script from \"./OrderOverviewProductData.vue?vue&type=script&lang=ts\"\nexport * from \"./OrderOverviewProductData.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./OrderOverviewProductData.vue?vue&type=style&index=0&id=7df16423&prod&lang=scss&scoped=true\")\nif (style0.__inject__) style0.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  \"7df16423\",\n  null\n  ,true\n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('div',[_c('span',{staticClass:\"Uploaded-logo\"},[_vm._v(\" \"+_vm._s(_vm.title)+\" \")]),_c('div',_vm._l((_vm.uploadedFileData),function(data){return _c('div',{key:data.position,staticClass:\"print-positions-info\"},[_c('img',{staticClass:\"image-thumbnail\",attrs:{\"src\":_vm.positionImage(data.position)}}),_c('div',[_c('p',[_vm._v(_vm._s(data.position))]),_c('p',[_vm._v(_vm._s(data.fileName))])])])}),0)])\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","\r\nimport { ArtworkResult } from '@/components/w2pFileUploader';\r\nimport { ProductPrintData } from '@midocean/webapps-shared-domain';\r\nimport Vue, { PropType } from 'vue';\r\nimport { useStore as useProductStore } from '@/stores/product';\r\nimport { mapState } from 'pinia';\r\n\r\nexport default Vue.extend({\r\n  props: {\r\n    title: {\r\n      type: String,\r\n      required: true,\r\n    },\r\n    masterProductSku: {\r\n      type: String,\r\n      default: '',\r\n    },\r\n    productDescription: {\r\n      type: String,\r\n      default: '',\r\n    },\r\n    uploadedFileData: {\r\n      type: [] as PropType<ArtworkResult[]>,\r\n      default: [],\r\n    },\r\n    fileUrl: {\r\n      type: String,\r\n      default: '',\r\n    },\r\n    selectedMethod: {\r\n      type: String,\r\n      required: true,\r\n    },\r\n    isDetailLost: {\r\n      type: Boolean,\r\n      default: false,\r\n    },\r\n    productPrintData: {\r\n      type: Object as PropType<ProductPrintData>,\r\n      required: false,\r\n      default: {},\r\n    },\r\n    productVariantColor: {\r\n      type: String,\r\n      required: false,\r\n      default: '',\r\n    },\r\n  },\r\n\r\n  computed: {\r\n    ...mapState(useProductStore, ['data']),\r\n  },\r\n\r\n  methods: {\r\n    positionImage(position: string | undefined) {\r\n      const pp = this.data.productPrintPositions.find(\r\n        (p) => p.name === position\r\n      );\r\n\r\n      return this.productPrintData.variants\r\n        ?.find((v) => v.colour === this.productVariantColor)\r\n        ?.images.find((i) => i.printPositionID === pp?.id)?.imageUrl as string;\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../node_modules/babel-loader/lib/index.js!../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./OrderOverviewProductDataArtworks.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../node_modules/babel-loader/lib/index.js!../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./OrderOverviewProductDataArtworks.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./OrderOverviewProductDataArtworks.vue?vue&type=template&id=39884b3e&scoped=true\"\nimport script from \"./OrderOverviewProductDataArtworks.vue?vue&type=script&lang=ts\"\nexport * from \"./OrderOverviewProductDataArtworks.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./OrderOverviewProductDataArtworks.vue?vue&type=style&index=0&id=39884b3e&prod&lang=scss&scoped=true\")\nif (style0.__inject__) style0.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  \"39884b3e\",\n  null\n  ,true\n)\n\nexport default component.exports","\r\nimport Vue, { PropType } from 'vue';\r\nimport OrderOverviewProductData from './OrderOverviewProductData/OrderOverviewProductData.vue';\r\nimport OrderOverviewProductDataArtworks from './OrderOverviewProductData/OrderOverviewProductDataArtworks.vue';\r\nimport ProductVariations from './ProductVariations/ProductVariations.vue';\r\nimport TotalPricing from './TotalPricing/TotalPricing.vue';\r\nimport {\r\n  PdpChoicesSetterType,\r\n  PriceDetailsSetterType,\r\n} from '@/setters/typings';\r\nimport { CvLoading, CvInlineNotification } from '@carbon/vue';\r\nimport { ArtworkResult } from '@/components/w2pFileUploader';\r\nimport { AxiosError } from 'axios';\r\nimport { SupportedLangCodes } from '../../constants/languageCodes';\r\nimport { ProductPrintData } from '@midocean/webapps-shared-domain';\r\n\r\nexport default Vue.extend({\r\n  components: {\r\n    ProductVariations,\r\n    TotalPricing,\r\n    OrderOverviewProductData,\r\n    OrderOverviewProductDataArtworks,\r\n    CvLoading,\r\n    CvInlineNotification,\r\n  },\r\n  props: {\r\n    lang: {\r\n      type: String as PropType<SupportedLangCodes>,\r\n      required: false,\r\n      default: 'en',\r\n    },\r\n    priceDetails: {\r\n      type: Object as PropType<PriceDetailsSetterType>,\r\n      required: true,\r\n    },\r\n    pdpChoices: {\r\n      type: Object as PropType<PdpChoicesSetterType>,\r\n      required: true,\r\n    },\r\n    productPrintData: {\r\n      type: Object as PropType<ProductPrintData>,\r\n      required: true,\r\n    },\r\n    uploadedFileData: {\r\n      type: Array as PropType<ArtworkResult[]>,\r\n      default: [],\r\n    },\r\n    isDetailLost: {\r\n      type: Boolean as PropType<boolean>,\r\n      default: false,\r\n    },\r\n    isLoadingSpinnerActive: {\r\n      type: Boolean as PropType<boolean>,\r\n      default: false,\r\n    },\r\n    selectedMethod: {\r\n      type: String,\r\n      required: true,\r\n    },\r\n    errors: {\r\n      type: [] as PropType<AxiosError>,\r\n      default: [],\r\n    },\r\n    isFullDesignWithArtworksPathEnabled: {\r\n      type: Boolean,\r\n      default: false,\r\n    },\r\n  },\r\n\r\n  data() {\r\n    return {\r\n      title: '',\r\n      masterProductSku: '',\r\n      productDescription: '',\r\n      fileUrl: '',\r\n    };\r\n  },\r\n\r\n  mounted() {\r\n    if (this.selectedMethod === 'Logo only') {\r\n      this.title = this.$t(\r\n        'flow-starter.product-data.title.uploaded-logo'\r\n      ).toString();\r\n\r\n      // ToDo: This will be set by the productImage from the pdpChoices object\r\n      this.fileUrl = `data:image/png;base64, ${this.uploadedFileData[0].pngFile}`;\r\n    } else {\r\n      this.title = this.$t(\r\n        'flow-starter.product-data.title.uploaded-file'\r\n      ).toString();\r\n      this.masterProductSku = this.pdpChoices.masterProductSKU;\r\n      this.productDescription = this.pdpChoices.productDescription;\r\n\r\n      const displayPositionId =\r\n        this.productPrintData.productPrintPositions.find(\r\n          (p) =>\r\n            p.name ===\r\n            this.pdpChoices.productPrintPositions[0].printPositionSAPCode\r\n        )?.id as string;\r\n\r\n      const displayVariantColor =\r\n        this.pdpChoices.productVariants[0].variantColor;\r\n\r\n      this.fileUrl = this.productPrintData.variants\r\n        .find((v) => v.colour === displayVariantColor)\r\n        ?.images.find((i) => i.printPositionID === displayPositionId)\r\n        ?.imageUrl as string;\r\n    }\r\n  },\r\n\r\n  methods: {\r\n    generateNotificationSubTitle(): string {\r\n      let printPositionsSubTitle = '';\r\n\r\n      this.pdpChoices.productPrintPositions.forEach((p) => {\r\n        printPositionsSubTitle = printPositionsSubTitle.concat(\r\n          `${p.printPositionSAPCode}, `\r\n        );\r\n      });\r\n\r\n      printPositionsSubTitle = printPositionsSubTitle.substring(\r\n        0,\r\n        printPositionsSubTitle.length - 2\r\n      );\r\n\r\n      return printPositionsSubTitle;\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/ts-loader/index.js??ref--15-2!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./TheApp.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/ts-loader/index.js??ref--15-2!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./TheApp.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./TheApp.vue?vue&type=template&id=cefe4200&scoped=true\"\nimport script from \"./TheApp.vue?vue&type=script&lang=ts\"\nexport * from \"./TheApp.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./TheApp.vue?vue&type=style&index=0&id=cefe4200&prod&lang=scss&scoped=true\")\nif (style0.__inject__) style0.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  \"cefe4200\",\n  null\n  ,true\n)\n\nexport default component.exports","export const pdpChoicesSchema = {\r\n  $schema: 'http://json-schema.org/draft-04/schema#',\r\n  type: 'object',\r\n\r\n  properties: {\r\n    masterProductSKU: {\r\n      type: 'string',\r\n    },\r\n    isTextile: {\r\n      type: 'boolean',\r\n    },\r\n    productPrintPositions: {\r\n      type: 'array',\r\n      items: { $ref: '#/$defs/printPosition' },\r\n    },\r\n    productVariants: {\r\n      type: 'array',\r\n      items: { $ref: '#/$defs/productColor' },\r\n    },\r\n    productDescription: {\r\n      type: 'string',\r\n    },\r\n  },\r\n\r\n  required: [\r\n    'masterProductSKU',\r\n    'isTextile',\r\n    'productPrintPositions',\r\n    'productVariants',\r\n  ],\r\n  additionalProperties: false,\r\n\r\n  $defs: {\r\n    productColor: {\r\n      type: 'object',\r\n      properties: {\r\n        variantColor: {\r\n          type: 'string',\r\n        },\r\n        variantColorName: {\r\n          type: 'string',\r\n        },\r\n        colorHex: {\r\n          type: 'string',\r\n        },\r\n        quantity: {\r\n          type: 'integer',\r\n        },\r\n        productName: {\r\n          type: 'string',\r\n        },\r\n      },\r\n      required: [\r\n        'variantColor',\r\n        'variantColorName',\r\n        'colorHex',\r\n        'quantity',\r\n        'productName',\r\n      ],\r\n      additionalProperties: false,\r\n    },\r\n\r\n    printPosition: {\r\n      type: 'object',\r\n      properties: {\r\n        printPositionSAPCode: {\r\n          type: 'string',\r\n        },\r\n        printTechniqueSAPCode: {\r\n          type: 'string',\r\n        },\r\n        printTechniqueSAPRangeCode: {\r\n          type: 'string',\r\n        },\r\n        numberOfColors: {\r\n          type: 'integer',\r\n        },\r\n        width: {\r\n          type: 'number',\r\n        },\r\n        height: {\r\n          type: 'number',\r\n        },\r\n        printingCost: {\r\n          type: 'string',\r\n        },\r\n        setupCost: {\r\n          type: 'string',\r\n        },\r\n      },\r\n      required: [\r\n        'printPositionSAPCode',\r\n        'printTechniqueSAPCode',\r\n        'numberOfColors',\r\n      ],\r\n      additionalProperties: false,\r\n    },\r\n  },\r\n};\r\n\r\nimport { jsonSchemaValidator } from '@/validators';\r\nimport { PdpChoicesSetterType } from './typings/index';\r\n\r\nexport const pdpChoices = {\r\n  type: Object,\r\n  required: false,\r\n  default: (): PdpChoicesSetterType => ({\r\n    masterProductSKU: '',\r\n    isTextile: false,\r\n    productPrintPositions: [\r\n      {\r\n        printPositionSAPCode: '',\r\n        printTechniqueSAPCode: '',\r\n        printTechniqueSAPRangeCode: '',\r\n        numberOfColors: 0,\r\n        width: 0,\r\n        height: 0,\r\n        printingCost: '',\r\n        setupCost: '',\r\n      },\r\n    ],\r\n    productVariants: [\r\n      {\r\n        variantColor: '',\r\n        variantColorName: '',\r\n        colorHex: '',\r\n        quantity: 0,\r\n        productName: '',\r\n      },\r\n    ],\r\n    productDescription: '',\r\n  }),\r\n  validator: (value: JSON): boolean => {\r\n    return (\r\n      jsonSchemaValidator('pdp choices setter', value, pdpChoicesSchema).errors\r\n        .length === 0\r\n    );\r\n  },\r\n};\r\n","export const priceDetailsSchema = {\r\n  $schema: 'http://json-schema.org/draft-04/schema#',\r\n  type: 'object',\r\n\r\n  properties: {\r\n    productPrintPositions: {\r\n      type: 'array',\r\n      items: { $ref: '#/$defs/printPosition' },\r\n    },\r\n    handlingCost: {\r\n      type: 'string',\r\n    },\r\n    productPrice: {\r\n      type: 'string',\r\n    },\r\n    totalPrice: {\r\n      type: 'string',\r\n    },\r\n  },\r\n  required: [\r\n    'productPrintPositions',\r\n    'handlingCost',\r\n    'productPrice',\r\n    'totalPrice',\r\n  ],\r\n  additionalProperties: false,\r\n\r\n  $defs: {\r\n    printPosition: {\r\n      type: 'object',\r\n      properties: {\r\n        printPositionSAPCode: {\r\n          type: 'string',\r\n        },\r\n        printTechniqueSAPCode: {\r\n          type: 'string',\r\n        },\r\n        numberOfColors: {\r\n          type: 'integer',\r\n        },\r\n        width: {\r\n          type: 'number',\r\n        },\r\n        height: {\r\n          type: 'number',\r\n        },\r\n        printingCost: {\r\n          type: 'string',\r\n        },\r\n        setupCost: {\r\n          type: 'string',\r\n        },\r\n        subTotal: {\r\n          type: 'string',\r\n        },\r\n      },\r\n      required: ['printPositionSAPCode', 'setupCost', 'printingCost'],\r\n      additionalProperties: false,\r\n    },\r\n  },\r\n};\r\n\r\nimport { jsonSchemaValidator } from '@/validators';\r\nimport { PriceDetailsSetterType } from './typings/index';\r\n\r\nexport const priceDetails = {\r\n  type: Object,\r\n  required: true,\r\n  default: (): PriceDetailsSetterType => ({\r\n    productPrintPositions: [\r\n      {\r\n        printPositionSAPCode: '',\r\n        setupCost: '',\r\n        printingCost: '',\r\n        printTechniqueSAPCode: '',\r\n        numberOfColors: 0,\r\n        width: 0,\r\n        height: 0,\r\n      },\r\n      {\r\n        printPositionSAPCode: '',\r\n        setupCost: '',\r\n        printingCost: '',\r\n        printTechniqueSAPCode: '',\r\n        numberOfColors: 0,\r\n        width: 0,\r\n        height: 0,\r\n      },\r\n    ],\r\n    handlingCost: '',\r\n    productPrice: '',\r\n    totalPrice: '',\r\n  }),\r\n  validator: (value: JSON): boolean => {\r\n    return (\r\n      jsonSchemaValidator('price details setter', value, priceDetailsSchema)\r\n        .errors.length === 0\r\n    );\r\n  },\r\n};\r\n","import Vue from 'vue';\r\n\r\nimport { createPinia, PiniaVuePlugin } from 'pinia';\r\n// Vue.use(PiniaVuePlugin);\r\n\r\nconst pinia = createPinia();\r\n\r\nexport { pinia };\r\n","\r\nimport StyleProvider from '@/StyleProvider.vue';\r\nimport TheApp from './TheApp.vue';\r\nimport Vue, { PropType } from 'vue';\r\nimport i18n from '@/i18n';\r\nimport { validate } from 'jsonschema';\r\nimport isValidLanguageValidator from '@/validators/langLocaleValidator';\r\nimport { mapActions, mapState, PiniaVuePlugin } from 'pinia';\r\nimport { useStore as useLangStore } from '@/stores/lang';\r\nimport { pdpChoicesSchema } from '@/setters/pdpChoicesSetter';\r\nimport { priceDetailsSchema } from '@/setters/priceDetailsSetter';\r\nimport {\r\n  PdpChoicesSetterType,\r\n  PriceDetailsSetterType,\r\n} from '@/setters/typings';\r\nimport { SupportedLangCodes } from '../../constants/languageCodes';\r\n\r\nVue.use(PiniaVuePlugin);\r\n\r\nimport { pinia } from '@/pinia';\r\nimport { ArtworkResult } from '@/components/w2pFileUploader';\r\nimport { AxiosError } from 'axios';\r\nimport { ProductPrintData } from '@midocean/webapps-shared-domain';\r\n\r\nexport default Vue.extend({\r\n  components: {\r\n    StyleProvider,\r\n    TheApp,\r\n  },\r\n  props: {\r\n    sapCustomerId: {\r\n      type: String,\r\n      required: false,\r\n      default: '',\r\n    },\r\n    lang: {\r\n      type: String as PropType<SupportedLangCodes>,\r\n      required: false,\r\n      default: 'en',\r\n      validator: isValidLanguageValidator,\r\n    },\r\n    priceDetails: {\r\n      type: Object as PropType<PriceDetailsSetterType>,\r\n      required: true,\r\n    },\r\n    pdpChoices: {\r\n      type: Object as PropType<PdpChoicesSetterType>,\r\n      required: true,\r\n    },\r\n    productPrintData: {\r\n      type: Object as PropType<ProductPrintData>,\r\n      required: true,\r\n    },\r\n    uploadedFileData: {\r\n      type: Array as PropType<ArtworkResult[]>,\r\n      default: [],\r\n    },\r\n    isLoadingSpinnerActive: {\r\n      type: Boolean as PropType<boolean>,\r\n      default: false,\r\n    },\r\n    isDetailLost: {\r\n      type: Boolean as PropType<boolean>,\r\n      default: false,\r\n    },\r\n    selectedMethod: {\r\n      type: String,\r\n      required: true,\r\n    },\r\n    errors: {\r\n      type: [] as PropType<AxiosError>,\r\n      default: [],\r\n    },\r\n    isFullDesignWithArtworksPathEnabled: {\r\n      type: Boolean,\r\n      default: false,\r\n    },\r\n  },\r\n  computed: {\r\n    ...mapState(useLangStore, ['languageInUse']),\r\n    priceDetailsValidationResults() {\r\n      return validate(this.priceDetails, priceDetailsSchema).errors;\r\n    },\r\n    pdpChoicesValidationResults() {\r\n      return validate(this.pdpChoices, pdpChoicesSchema).errors;\r\n    },\r\n  },\r\n  mounted() {\r\n    this.setLanguageLocale(this.lang);\r\n  },\r\n  methods: {\r\n    ...mapActions(useLangStore, ['setLanguageLocale']),\r\n  },\r\n  i18n,\r\n  pinia,\r\n});\r\n","import mod from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/ts-loader/index.js??ref--15-2!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./OrderOverview.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/ts-loader/index.js??ref--15-2!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./OrderOverview.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./OrderOverview.vue?vue&type=template&id=4cb41374\"\nimport script from \"./OrderOverview.vue?vue&type=script&lang=ts\"\nexport * from \"./OrderOverview.vue?vue&type=script&lang=ts\"\n\n\n/* normalize component */\nimport normalizer from \"!../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  null,\n  null,\n  null\n  ,true\n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('style-provider',[_c('the-app',{attrs:{\"language-code\":_vm.languageInUse,\"master-product-sku\":_vm.masterProductSku,\"sap-customer-id\":_vm.sapCustomerId,\"user-id\":_vm.userId,\"user-full-name\":_vm.userFullName,\"context\":_vm.context,\"order-number\":_vm.orderNumber,\"order-line-id\":_vm.orderLineId,\"selected-print-position-data\":_vm.selectedPrintPosition,\"instructions\":_vm.instructionsData,\"send-mail-to-customer-care\":_vm.sendMailToCustomerCareData,\"selected-method\":_vm.selectedMethod,\"number-of-colors-per-print-position\":_vm.numberOfColorsPerPrintPosition,\"customer-company-logo-url\":_vm.customerCompanyLogoUrl},on:{\"update:next-button\":(isValid) => _vm.$emit('update:next-button', isValid),\"uploaded:file\":(fileUploadedPayload) => _vm.$emit('uploaded:file', fileUploadedPayload),\"uploaded:uploading\":(uploading) => _vm.$emit('uploaded:uploading', uploading),\"upload-logo:success\":(successEvent) => _vm.$emit('upload-logo:success', successEvent),\"upload-logo:failure\":(failureEvent) => _vm.$emit('upload-logo:failure', failureEvent),\"upload-logo:product-not-printable\":(notPrintableEvent) =>\n        _vm.$emit('upload-logo:product-not-printable', notPrintableEvent),\"upload:reset\":function($event){return _vm.$emit('upload:reset')}}})],1)\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('div',{staticClass:\"upload-logo\"},[(_vm.selectedMethod === 'Logo only')?_c('div',{staticClass:\"inline-notification__wrapper\"},[_c('cv-inline-notification',{attrs:{\"title\":_vm.$t('upload-logo.inline-notification.logo-uploading-information'),\"sub-title\":_vm.generateNotificationSubTitle(),\"hide-close-button\":true}})],1):_vm._e(),(_vm.selectedMethod !== 'Full design')?_c('w2p-file-uploader',{attrs:{\"id\":_vm.w2pFileUploadId,\"disabled\":!_vm.isFileUploaderEnabled,\"multiple\":_vm.enableMultiLogoUpload,\"removable\":true,\"clear-on-reselect\":true,\"label-text\":_vm.$t('upload-logo.file-uploader-label-text'),\"helper-text\":_vm.$t(_vm.helperText),\"upload-options\":_vm.uploadOptions,\"api-options\":{ lazy: true },\"api\":_vm.api,\"validate-fn\":_vm.validateFn},on:{\"change\":_vm.onChange,\"upload:ready\":_vm.onUploadReady,\"upload:validation-error\":_vm.onUploadError}}):_vm._e(),(_vm.selectedMethod === 'Full design')?_c('full-design-uploader',{attrs:{\"disabled\":!_vm.isFileUploaderEnabled,\"multiple\":_vm.enableMultiLogoUpload,\"removable\":true,\"clear-on-reselect\":true,\"label-text\":_vm.$t('upload-logo.file-uploader-label-text'),\"helper-text\":_vm.$t(_vm.helperText),\"validate-fn\":_vm.validateFn},on:{\"change\":_vm.onChange,\"upload:ready\":_vm.onUploadReady,\"upload:validation-error\":_vm.onUploadError}}):_vm._e(),(!_vm.productIsPrintable)?_c('div',[_c('cv-inline-notification',{attrs:{\"kind\":\"error\",\"title\":_vm.$t('upload-logo.inline-notification.product-not-printable-title'),\"sub-title\":_vm.$t('upload-logo.inline-notification.product-not-printable-message'),\"hide-close-button\":true}})],1):_vm._e(),(_vm.preparedValidationResults.length > 0)?_c('div',{staticClass:\"inline-notification__wrapper\"},_vm._l((_vm.preparedValidationResults),function(result){return _c('div',{key:result.validatorName},[(result.validatorColor === 'Red')?_c('cv-inline-notification',{attrs:{\"kind\":\"error\",\"title\":result.validatorNotification.validatorName,\"sub-title\":result.validatorNotification.validatorMessage,\"hide-close-button\":true}}):_vm._e(),(result.validatorColor === 'Orange')?_c('cv-inline-notification',{attrs:{\"kind\":\"warning\",\"title\":result.validatorNotification.validatorName,\"sub-title\":result.validatorNotification.validatorMessage,\"hide-close-button\":true}}):_vm._e()],1)}),0):_vm._e()],1)\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('div',{staticClass:\"bx--file__container\"},[_c('p',{staticClass:\"bx--label-description\"},[_vm._v(\" \"+_vm._s(_vm.helperText)+\" \")]),_c('cv-file-uploader',_vm._b({ref:\"fileUploader\",class:{ 'file-uploader--disabled': _vm.isDisabled },attrs:{\"id\":_vm.id,\"label\":_vm.$t('sidebar.uplaod-text-label'),\"drop-target-label\":_vm.$t('section.actions.artwork-drop-target')},on:{\"click\":(e) => (e.target.value = ''),\"change\":_vm.forwardOnChange}},'cv-file-uploader',_vm.$attrs,false)),(_vm.apiOptions.lazy)?_vm._t(\"actions\",null,null,{ upload: _vm.upload, files: _vm.files }):_vm._e()],2)\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","export const supportedExtensions =\r\n  'image/jpeg, image/png, application/pdf, image/svg+xml, image/bmp, image/gif, image/tiff, image/eps, image/x-eps, image/photoshop, image/vnd.adobe.photoshop, image/vnd.microsoft.icon, image/psd, image/x-photoshop, image/x-psd, application/illustrator, application/x-photoshop, application/postscript';\r\n","\r\nimport Vue, { PropType } from 'vue';\r\nimport { CvFileUploader } from '@carbon/vue';\r\nimport {\r\n  Artwork,\r\n  ArtworkResult,\r\n  VFileUploader,\r\n  VFileUploaderFile,\r\n} from './index';\r\nimport { supportedExtensions } from '@/constants/supportedExtensions';\r\nimport { ImageProcessingEngineVersion } from '@/constants/imageProcessingEngine';\r\nimport { AxiosError } from 'axios';\r\n\r\nexport default Vue.extend({\r\n  components: { CvFileUploader },\r\n  inheritAttrs: false,\r\n  props: {\r\n    uploadOptions: {\r\n      type: Object as PropType<Artwork>,\r\n      required: true,\r\n    },\r\n\r\n    api: {\r\n      type: Object as PropType<{\r\n        upload: (data: Artwork, file: VFileUploaderFile) => Promise<unknown>;\r\n      }>,\r\n      required: true,\r\n    },\r\n\r\n    apiOptions: {\r\n      type: Object as PropType<{\r\n        lazy: boolean;\r\n      }>,\r\n      default: () => ({ lazy: false }),\r\n    },\r\n\r\n    id: {\r\n      type: String,\r\n      required: true,\r\n    },\r\n\r\n    resetState: {\r\n      type: Boolean,\r\n      required: false,\r\n      default: false,\r\n    },\r\n\r\n    validateFn: {\r\n      type: Function as PropType<(props: Record<string, unknown>) => true>,\r\n      required: true,\r\n    },\r\n\r\n    helperText: {\r\n      type: String,\r\n      default: `\r\n          You can specify a file to import by either dragging it into the drag and\r\n          drop area or by selecting a file from your computer. Maximum file size of\r\n          15MB (.jpg, .png, .gif, .jpeg, .pdf, .svg, .eps, .ico, .bmp, .tif, .ai, .psd files only)\r\n      `,\r\n    },\r\n  },\r\n\r\n  data() {\r\n    return {\r\n      /**\r\n       * Reference to CvFileUploader component\r\n       */\r\n      fileUploaderRef: null as unknown,\r\n      files: [] as unknown as VFileUploaderFile[],\r\n      supportedExtensions,\r\n      maxFileSize: 15,\r\n    };\r\n  },\r\n\r\n  computed: {\r\n    isEmptyInternalFiles(): boolean {\r\n      return (\r\n        (this.fileUploaderRef as VFileUploader)?.internalFiles.length === 0\r\n      );\r\n    },\r\n    /**\r\n     * This will be the flag, for file-uploader--disabled class\r\n     * to appear, so that we can scope disabled styles in this state\r\n     */\r\n    isDisabled(): boolean {\r\n      return this.$attrs.disabled as unknown as boolean;\r\n    },\r\n  },\r\n\r\n  watch: {\r\n    resetState() {\r\n      if (this.resetState) {\r\n        this.files = [];\r\n        (this.fileUploaderRef as VFileUploader).remove(0);\r\n      }\r\n    },\r\n  },\r\n\r\n  mounted() {\r\n    (this.fileUploaderRef as VFileUploader) = this.$refs\r\n      ?.fileUploader as VFileUploader;\r\n  },\r\n\r\n  methods: {\r\n    async upload(files: VFileUploaderFile[]) {\r\n      const uploadResults = [] as ArtworkResult[];\r\n      let i = 0;\r\n      for (const file of files) {\r\n        /**\r\n         * Safe check, in case when no file is present\r\n         */\r\n        if (!file) {\r\n          this.$emit('change', files);\r\n          return;\r\n        }\r\n\r\n        const {\r\n          title,\r\n          externalCustomerId,\r\n          customerId,\r\n          shouldSaveInLogoLibrary,\r\n          shouldSaveDraftForWizard,\r\n        } = this.uploadOptions;\r\n\r\n        var titleFromFileName = file.file.name;\r\n        var defaultTitle = titleFromFileName.replace(\r\n          titleFromFileName.substr(titleFromFileName.lastIndexOf('.')),\r\n          ''\r\n        );\r\n\r\n        this.setState(i, 'uploading');\r\n        this.$emit('upload:init');\r\n\r\n        try {\r\n          const result: { data: ArtworkResult } = (await this.api.upload(\r\n            // first parameter is Artwork model\r\n            {\r\n              title: title || defaultTitle,\r\n              fileName: file.file.name,\r\n              externalCustomerId,\r\n              customerId,\r\n              shouldSaveInLogoLibrary,\r\n              shouldSaveDraftForWizard,\r\n              currentEngineVersion: ImageProcessingEngineVersion,\r\n            },\r\n            // second parameter is file\r\n            {\r\n              file: file.file,\r\n              invalidMessage: file.invalidMessage,\r\n              invalidMessageTitle: file.invalidMessageTitle,\r\n              state: file.state,\r\n            }\r\n          )) as { data: ArtworkResult };\r\n          this.setState(0, 'complete');\r\n          if (!this.isEmptyInternalFiles) {\r\n            this.$emit('upload:success', result);\r\n\r\n            result.data.fileName = file.file.name;\r\n            uploadResults.push(result.data);\r\n          }\r\n        } catch (e) {\r\n          this.setState(0, '');\r\n          this.handleProcessArtworkErrors(e as AxiosError);\r\n          this.$emit('upload:error', e);\r\n          throw e;\r\n        }\r\n        i++;\r\n      }\r\n\r\n      return uploadResults;\r\n    },\r\n\r\n    /**\r\n     * Wrapper around CvFileUploader internal method\r\n     */\r\n    setState(idx: number, state = '') {\r\n      !this.isEmptyInternalFiles &&\r\n        (this.fileUploaderRef as VFileUploader).setState(idx, state);\r\n    },\r\n\r\n    /**\r\n     * Wrapper around CvFileUploader internal method\r\n     */\r\n    setInvalidMessage(idx: number, msg: string) {\r\n      !this.isEmptyInternalFiles &&\r\n        (this.fileUploaderRef as VFileUploader).setInvalidMessage(idx, msg);\r\n    },\r\n\r\n    handleProcessArtworkErrors(error: AxiosError) {\r\n      if (error && error.response?.status === 409) {\r\n        this.setInvalidMessage(\r\n          0,\r\n          this.$t('section.errors.image-processing').toString()\r\n        );\r\n      } else {\r\n        this.setInvalidMessage(\r\n          0,\r\n          this.$t(\r\n            'upload-logo.inline-notification.something-went-wrong'\r\n          ).toString()\r\n        );\r\n      }\r\n    },\r\n\r\n    /**\r\n     * Manipulate uploading state here, $emit events\r\n     */\r\n    async forwardOnChange(files: VFileUploaderFile[]) {\r\n      /**\r\n       * In case of a drag & drop, replace previously dropped in file\r\n       */\r\n      // if (files.length > 1) {\r\n      //   (this.fileUploaderRef as VFileUploader).remove(0);\r\n      //   return;\r\n      // }\r\n      this.$emit('change', files);\r\n\r\n      for (const file of files) {\r\n        /**\r\n         * Return early, in case of a file removal\r\n         */\r\n        if (!file) {\r\n          return;\r\n        }\r\n\r\n        /**\r\n         * In case we have a file, we proceed with basic validationObj on type & size\r\n         */\r\n        const { size, type } = file.file;\r\n        const validationObj = this.validateFn({\r\n          type: type || 'image/psd',\r\n          size,\r\n          maxFileSize: this.maxFileSize,\r\n          supportedExtensions: this.supportedExtensions,\r\n        });\r\n        const errorAny = Object.values(validationObj).some(\r\n          ({ valid }) => !valid\r\n        );\r\n\r\n        if (errorAny) {\r\n          let error = Object.values(validationObj).find(\r\n            ({ valid }: { valid: boolean }) => !valid\r\n          );\r\n\r\n          if (error.errorMsg === 'invalid-file-size') {\r\n            this.setInvalidMessage(\r\n              0,\r\n              this.$tc(\r\n                `upload-logo.inline-notification.${error.errorMsg}`,\r\n                error.value,\r\n                { value: error.value }\r\n              ).toString()\r\n            );\r\n          }\r\n          if (error.errorMsg === 'invalid-file-type') {\r\n            this.setInvalidMessage(\r\n              0,\r\n              this.$t(\r\n                `upload-logo.inline-notification.${error.errorMsg}`\r\n              ).toString()\r\n            );\r\n          }\r\n\r\n          this.setState(0, '');\r\n          this.$emit('upload:validation-error');\r\n          return;\r\n        }\r\n      }\r\n\r\n      /**\r\n       * In case everything is fine, we proceed with file upload\r\n       * when apiOptions.lazy flag isn't being set\r\n       */\r\n      this.files = files; // we need this for scoped slot's usage\r\n\r\n      /**\r\n       * Upload immedately if no apiOption.lazy is set to true\r\n       * -> otherwise expose files, and upload() method externally\r\n       * so that consumer can defer a call to this method\r\n       */\r\n      if (!this.apiOptions.lazy) {\r\n        this.upload(files);\r\n      } else {\r\n        this.$emit('upload:ready', { files, up: this.upload });\r\n      }\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/ts-loader/index.js??ref--15-2!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./w2pFileUploader.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/ts-loader/index.js??ref--15-2!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./w2pFileUploader.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./w2pFileUploader.vue?vue&type=template&id=3232c25d\"\nimport script from \"./w2pFileUploader.vue?vue&type=script&lang=ts\"\nexport * from \"./w2pFileUploader.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./w2pFileUploader.vue?vue&type=style&index=0&id=3232c25d&prod&lang=scss\")\nif (style0.__inject__) style0.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  null,\n  null\n  ,true\n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('div',{staticClass:\"bx--file__container\"},[_c('p',{staticClass:\"bx--label-description\"},[_vm._v(\" \"+_vm._s(_vm.helperText)+\" \")]),_c('cv-file-uploader',_vm._b({ref:\"fileUploader\",class:{ 'file-uploader--disabled': _vm.isDisabled },attrs:{\"label\":_vm.$t('sidebar.uplaod-text-label'),\"drop-target-label\":_vm.$t('section.actions.artwork-drop-target')},on:{\"click\":(e) => (e.target.value = ''),\"change\":_vm.forwardOnChange}},'cv-file-uploader',_vm.$attrs,false))],1)\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","\r\nimport Vue, { PropType } from 'vue';\r\nimport { CvFileUploader } from '@carbon/vue';\r\nimport { VFileUploader, VFileUploaderFile } from '@/components/w2pFileUploader';\r\nimport { supportedExtensions } from '@/constants/supportedExtensions';\r\n\r\nexport default Vue.extend({\r\n  components: { CvFileUploader },\r\n  inheritAttrs: false,\r\n  props: {\r\n    validateFn: {\r\n      type: Function as PropType<(props: Record<string, unknown>) => true>,\r\n      required: true,\r\n    },\r\n\r\n    helperText: {\r\n      type: String,\r\n      default: `\r\n          You can specify a file to import by either dragging it into the drag and\r\n          drop area or by selecting a file from your computer. Maximum file size of\r\n          15MB (.pdf files only)\r\n      `,\r\n    },\r\n  },\r\n\r\n  data() {\r\n    return {\r\n      /**\r\n       * Reference to CvFileUploader component\r\n       */\r\n      fileUploaderRef: null as unknown,\r\n      files: [] as unknown as VFileUploaderFile[],\r\n      supportedExtensions,\r\n      maxFileSize: 15,\r\n    };\r\n  },\r\n\r\n  computed: {\r\n    isEmptyInternalFiles(): boolean {\r\n      return (\r\n        (this.fileUploaderRef as VFileUploader)?.internalFiles.length === 0\r\n      );\r\n    },\r\n    /**\r\n     * This will be the flag, for file-uploader--disabled class\r\n     * to appear, so that we can scope disabled styles in this state\r\n     */\r\n    isDisabled(): boolean {\r\n      return this.$attrs.disabled as unknown as boolean;\r\n    },\r\n  },\r\n\r\n  mounted() {\r\n    (this.fileUploaderRef as VFileUploader) = this.$refs\r\n      ?.fileUploader as VFileUploader;\r\n  },\r\n\r\n  methods: {\r\n    async upload(files: VFileUploaderFile[]) {\r\n      const uploadResults = [];\r\n\r\n      for (const file of files) {\r\n        /**\r\n         * Safe check, in case when no file is present\r\n         */\r\n        if (!file) {\r\n          this.$emit('change', files);\r\n          return;\r\n        }\r\n\r\n        this.setState(0, 'uploading');\r\n        this.$emit('upload:init');\r\n\r\n        try {\r\n          const result = {\r\n            pngFile: await this.getBase64(file.file),\r\n            fileName: file.file.name,\r\n          };\r\n          this.setState(0, 'complete');\r\n          this.$emit('upload:success', result);\r\n\r\n          uploadResults.push(result);\r\n        } catch (e) {\r\n          this.setState(0, '');\r\n          this.setInvalidMessage(\r\n            0,\r\n            this.$t(\r\n              'upload-logo.inline-notification.something-went-wrong'\r\n            ).toString()\r\n          );\r\n          this.$emit('upload:error', e);\r\n          throw e;\r\n        }\r\n      }\r\n\r\n      return uploadResults;\r\n    },\r\n\r\n    /**\r\n     * Wrapper around CvFileUploader internal method\r\n     */\r\n    setState(idx: number, state = '') {\r\n      !this.isEmptyInternalFiles &&\r\n        (this.fileUploaderRef as VFileUploader).setState(idx, state);\r\n    },\r\n\r\n    /**\r\n     * Wrapper around CvFileUploader internal method\r\n     */\r\n    setInvalidMessage(idx: number, msg: string) {\r\n      !this.isEmptyInternalFiles &&\r\n        (this.fileUploaderRef as VFileUploader).setInvalidMessage(idx, msg);\r\n    },\r\n\r\n    /**\r\n     * Manipulate uploading state here, $emit events\r\n     */\r\n    async forwardOnChange(files: VFileUploaderFile[]) {\r\n      /**\r\n       * In case of a drag & drop, replace previously dropped in file\r\n       */\r\n      // if (files.length > 1) {\r\n      //   (this.fileUploaderRef as VFileUploader).remove(0);\r\n      //   return;\r\n      // }\r\n      this.$emit('change', files);\r\n\r\n      for (const file of files) {\r\n        /**\r\n         * Return early, in case of a file removal\r\n         */\r\n        if (!file) {\r\n          return;\r\n        }\r\n\r\n        /**\r\n         * In case we have a file, we proceed with basic validationObj on type & size\r\n         */\r\n        const { size, type } = file.file;\r\n        const validationObj = this.validateFn({\r\n          type: type,\r\n          size,\r\n          maxFileSize: this.maxFileSize,\r\n          supportedExtensions: this.supportedExtensions,\r\n        });\r\n        const errorAny = Object.values(validationObj).some(\r\n          ({ valid }) => !valid\r\n        );\r\n\r\n        if (errorAny) {\r\n          let error = Object.values(validationObj).find(\r\n            ({ valid }: { valid: boolean }) => !valid\r\n          );\r\n\r\n          if (error.errorMsg === 'invalid-file-size') {\r\n            this.setInvalidMessage(\r\n              0,\r\n              this.$tc(\r\n                `upload-logo.inline-notification.${error.errorMsg}`,\r\n                error.value,\r\n                { value: error.value }\r\n              ).toString()\r\n            );\r\n          }\r\n          if (error.errorMsg === 'invalid-file-type') {\r\n            this.setInvalidMessage(\r\n              0,\r\n              this.$t(\r\n                `upload-logo.inline-notification.${error.errorMsg}`\r\n              ).toString()\r\n            );\r\n          }\r\n\r\n          this.setState(0, '');\r\n          this.$emit('upload:validation-error');\r\n          return;\r\n        }\r\n      }\r\n\r\n      /**\r\n       * In case everything is fine, we proceed with file upload\r\n       * when apiOptions.lazy flag isn't being set\r\n       */\r\n      this.files = files; // we need this for scoped slot's usage\r\n\r\n      /**\r\n       * Upload immedately if no apiOption.lazy is set to true\r\n       * -> otherwise expose files, and upload() method externally\r\n       * so that consumer can defer a call to this method\r\n       */\r\n\r\n      this.$emit('upload:ready', { files, up: this.upload });\r\n    },\r\n    getBase64(file: File): Promise<string> {\r\n      return new Promise((resolve, reject) => {\r\n        const reader = new FileReader();\r\n        reader.readAsDataURL(file);\r\n        reader.onload = () => {\r\n          let encoded = reader?.result\r\n            ?.toString()\r\n            .replace(/^data:(.*,)?/, '') as string;\r\n          if (encoded.length % 4 > 0) {\r\n            encoded += '='.repeat(4 - (encoded.length % 4));\r\n          }\r\n          resolve(encoded);\r\n        };\r\n        reader.onerror = (error) => reject(error);\r\n      });\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./FullDesignUploader.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./FullDesignUploader.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./FullDesignUploader.vue?vue&type=template&id=7368574d\"\nimport script from \"./FullDesignUploader.vue?vue&type=script&lang=ts\"\nexport * from \"./FullDesignUploader.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./FullDesignUploader.vue?vue&type=style&index=0&id=7368574d&prod&lang=scss\")\nif (style0.__inject__) style0.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  null,\n  null\n  ,true\n)\n\nexport default component.exports","import { isValidExtension, isLowerThanMib } from '@/utils';\r\nimport { supportedExtensions as defaultExtensions } from '@/constants/supportedExtensions';\r\n\r\nexport type ValidationObject = {\r\n  valid: boolean;\r\n  errorMsg: string;\r\n  value?: number;\r\n};\r\n\r\nexport type ValidateFnData = {\r\n  type: string;\r\n  size: number;\r\n  maxFileSize: number;\r\n  supportedExtensions: string;\r\n};\r\n\r\nexport type ValidateFnConfiguration = {\r\n  maxFileSize?: number;\r\n  supportedExtensions?: string;\r\n};\r\n\r\nexport const validateFn = ({\r\n  type: fileType,\r\n  size: fileSize,\r\n  maxFileSize,\r\n  supportedExtensions,\r\n}: ValidateFnData): {\r\n  type: ValidationObject;\r\n  size: ValidationObject;\r\n} => {\r\n  const isLowerThan = isLowerThanMib(maxFileSize);\r\n  const hasValidExtension = isValidExtension(\r\n    supportedExtensions || defaultExtensions\r\n  );\r\n\r\n  return {\r\n    type: {\r\n      valid: hasValidExtension(fileType),\r\n      errorMsg: `invalid-file-type`,\r\n    },\r\n    size: {\r\n      valid: isLowerThan(fileSize),\r\n      errorMsg: `invalid-file-size`,\r\n      value: maxFileSize,\r\n    },\r\n  };\r\n};\r\n\r\nexport const customValidateFn = (configuration: ValidateFnConfiguration) => {\r\n  return (validateFnData: ValidateFnData): any => {\r\n    return validateFn({ ...validateFnData, ...configuration });\r\n  };\r\n};\r\n","\r\nimport Vue, { PropType } from 'vue';\r\nimport {\r\n  Artwork,\r\n  ArtworkResult,\r\n  EnrichPositionWithArtworkForm,\r\n  w2pFileUploader,\r\n} from '@/components/w2pFileUploader';\r\nimport { PmsColor, OrderLineDetail } from '@midocean/webapps-shared-domain';\r\nimport { FullDesignUploader } from '../flow-starter/components/FullDesignUploader';\r\nimport { validateFn, customValidateFn } from '@/validators/basicFileValidator';\r\nimport FileService from '@/services/FileService';\r\nimport { supportedExtensions as supportedExtensionsForLogoOnly } from '@/constants/supportedExtensions';\r\nimport { AnnotationShape } from '../import-wizard/typings/pintura';\r\nimport {\r\n  constructArtworkValidationPipeline,\r\n  ValidatorResult,\r\n} from '@/validators';\r\nimport { useStore as useProductStore } from '@/stores/product';\r\nimport { mapStores } from 'pinia';\r\nimport { mapActions, PiniaVuePlugin } from 'pinia';\r\nimport {\r\n  FileUploadedPayload,\r\n  PreparedValidationResult,\r\n  SelectedPrintPositionData,\r\n  ProductNotPrintableEvent,\r\n  ValidatorNotification,\r\n} from './typings/index';\r\nimport { CvInlineNotification } from '@carbon/vue';\r\nimport customersAPI from '@/services/CustomersService';\r\nimport { v4 as uuidv4 } from 'uuid';\r\nimport {\r\n  ProductVariant as NewPersonalizationVariant,\r\n  ProductPrintVariant,\r\n  ProductPrintData,\r\n} from '@midocean/webapps-shared-domain';\r\nimport { ProductPrintPositionBoxModel } from '@/typings/ProductPrintData';\r\nimport { SupportedLangCodes } from '@/constants/languageCodes';\r\n\r\nVue.use(PiniaVuePlugin);\r\n\r\nconst FILE_UPLOADER_HELPER_TEXT_LOGO_ONLY =\r\n  'upload-logo.file-uploader-helper-text.logo-only';\r\nconst FILE_UPLOADER_HELPER_TEXT_FULL_DESIGN =\r\n  'upload-logo.file-uploader-helper-text.full-design';\r\n\r\nexport default Vue.extend({\r\n  components: { w2pFileUploader, FullDesignUploader, CvInlineNotification },\r\n\r\n  props: {\r\n    languageCode: {\r\n      type: String as PropType<SupportedLangCodes>,\r\n      required: false,\r\n      default: 'en',\r\n    },\r\n    masterProductSku: {\r\n      type: String,\r\n      required: true,\r\n    },\r\n    sapCustomerId: {\r\n      type: String,\r\n      required: true,\r\n    },\r\n    userId: {\r\n      type: String,\r\n      required: false,\r\n      default: '',\r\n    },\r\n    userFullName: {\r\n      type: String,\r\n      default: '',\r\n    },\r\n    context: {\r\n      type: String as PropType<'Customer' | 'CustomerCare' | 'PrePress'>,\r\n      required: true,\r\n    },\r\n    orderNumber: {\r\n      type: String,\r\n      required: false,\r\n      default: '',\r\n    },\r\n    orderLineId: {\r\n      type: String,\r\n      required: false,\r\n      default: '',\r\n    },\r\n    selectedPrintPositionData: {\r\n      type: Array as PropType<SelectedPrintPositionData[]>,\r\n      required: false,\r\n      default() {\r\n        return [];\r\n      },\r\n    },\r\n    instructions: {\r\n      type: String,\r\n      default: '',\r\n    },\r\n    sendMailToCustomerCare: {\r\n      type: Boolean,\r\n      default: false,\r\n    },\r\n    selectedMethod: {\r\n      type: String,\r\n      required: true,\r\n    },\r\n    numberOfColorsPerPrintPosition: {\r\n      type: Array as PropType<\r\n        {\r\n          positionId: string;\r\n          numberOfColors: number;\r\n        }[]\r\n      >,\r\n      default() {\r\n        return [];\r\n      },\r\n    },\r\n    customerCompanyLogoUrl: {\r\n      type: String,\r\n      required: false,\r\n      default: '',\r\n    },\r\n  },\r\n\r\n  data() {\r\n    return {\r\n      helperText: '',\r\n      api: FileService,\r\n      supportedExtensionsForLogoOnly,\r\n      supportedExtensions: '',\r\n      isFileUploaderEnabled: true,\r\n      nextButtonEnabled: false,\r\n      isFileUploaded: false,\r\n      isFileValid: false,\r\n      productPrintData: {} as ProductPrintData,\r\n      uploadedFilesDataPerPrintPosition: [] as {\r\n        positionSAPCode: string;\r\n        files: ArtworkResult[];\r\n      }[],\r\n      preparedValidationResults: [] as PreparedValidationResult[],\r\n      uploadOptions: {} as Artwork,\r\n      personalizationId: '',\r\n      uploadedArtworks: [] as ArtworkResult[],\r\n      productIsPrintable: true,\r\n      enableMultiLogoUpload: false,\r\n    };\r\n  },\r\n\r\n  computed: {\r\n    ...mapStores(useProductStore),\r\n    w2pFileUploadId(): string {\r\n      return this.selectedPrintPositionData.length === 0\r\n        ? 'w2p-file-uploader'\r\n        : 'w2p-file-uploader-' +\r\n            this.selectedPrintPositionData[0].printPositionCode;\r\n    },\r\n  },\r\n\r\n  async mounted() {\r\n    const customerId = await this.populateCustomerId(this.sapCustomerId);\r\n\r\n    this.uploadOptions = {\r\n      externalCustomerId: this.sapCustomerId,\r\n      customerId: customerId,\r\n      title: '',\r\n      shouldSaveInLogoLibrary: false,\r\n      shouldSaveDraftForWizard: true,\r\n    } as Artwork;\r\n\r\n    this.nextButtonEnabled = false;\r\n    this.$emit('update:next-button', this.nextButtonEnabled);\r\n\r\n    // Depending on the personalise method selected, the particular text changes as well as the validations\r\n    if (this.selectedMethod === 'Logo only') {\r\n      this.helperText = FILE_UPLOADER_HELPER_TEXT_LOGO_ONLY;\r\n      this.supportedExtensions = this.supportedExtensionsForLogoOnly;\r\n    } else {\r\n      this.helperText = FILE_UPLOADER_HELPER_TEXT_FULL_DESIGN;\r\n      this.supportedExtensions = 'application/pdf';\r\n\r\n      this.validateFn = this.customValidateFn({\r\n        supportedExtensions: this.supportedExtensions,\r\n      });\r\n    }\r\n  },\r\n\r\n  methods: {\r\n    ...mapActions(useProductStore, ['getProduct']),\r\n\r\n    validateFn,\r\n    customValidateFn,\r\n\r\n    async populateCustomerId(sapCustomerId: string): Promise<string> {\r\n      const { data } = await customersAPI.getAll({\r\n        customerId: sapCustomerId,\r\n        searchBy: {},\r\n        page: 1,\r\n        pageSize: 12,\r\n      });\r\n\r\n      if (data.page.length === 0) {\r\n        return uuidv4();\r\n      }\r\n\r\n      return data.page[0].customerId;\r\n    },\r\n    onChange(files: Artwork[]): boolean {\r\n      if (files.length === 0) {\r\n        if (this.context === 'Customer') {\r\n          this.uploadedFilesDataPerPrintPosition = [];\r\n        }\r\n        this.preparedValidationResults = [];\r\n      }\r\n\r\n      // In case the user chooses to remove the uploaded file, an event has to be emitted for disabling of the Next button in the footer\r\n      if (files.length <= 0) {\r\n        this.$emit('update:next-button', false);\r\n      }\r\n\r\n      this.isFileUploaderEnabled = files.length === 0;\r\n      return files.length === 0;\r\n    },\r\n    onUploadError() {\r\n      this.resetFlags();\r\n    },\r\n    resetFlags() {\r\n      this.$emit('update:next-button', false);\r\n      this.isFileUploaderEnabled = true;\r\n    },\r\n\r\n    prepareProductVariants(productVariants: ProductPrintVariant[]) {\r\n      return productVariants.map((v) => {\r\n        return {\r\n          productName: v.name,\r\n          variantColor: v.colour,\r\n        } as NewPersonalizationVariant;\r\n      });\r\n    },\r\n\r\n    async onUploadReady({\r\n      files,\r\n      up,\r\n    }: {\r\n      files: Artwork[];\r\n      up: (files: Artwork[]) => Promise<ArtworkResult[]>;\r\n    }) {\r\n      if (this.context === 'Customer') {\r\n        // ***Check if the request came from the Flow Starter (Fenego)***\r\n        try {\r\n          if (files.length > 0) {\r\n            const productData = await this.getProduct(this.masterProductSku);\r\n            console.log(\r\n              'TheApp upload logo - onUploadReady - masterProductSku - ',\r\n              this.masterProductSku\r\n            );\r\n            if (!productData.readyToPrint) {\r\n              this.productIsPrintable = false;\r\n\r\n              console.log('upload-logo:product-not-printable', {\r\n                productSKU: productData.sku,\r\n                productName: productData.name,\r\n              } as ProductNotPrintableEvent);\r\n              return;\r\n            }\r\n\r\n            this.productPrintData = productData;\r\n\r\n            this.uploadedArtworks = [];\r\n\r\n            this.$emit('uploaded:uploading', true);\r\n\r\n            for (let i = 0; i < this.selectedPrintPositionData.length; i++) {\r\n              const fileData = await up(files);\r\n\r\n              if (fileData.length > 0) {\r\n                this.isFileUploaded = true;\r\n                this.uploadedFilesDataPerPrintPosition.push({\r\n                  positionSAPCode:\r\n                    this.selectedPrintPositionData[i].printPositionCode,\r\n                  files: fileData,\r\n                });\r\n\r\n                this.uploadedArtworks.push({\r\n                  ...fileData[0],\r\n                  position: this.selectedPrintPositionData[i].printPositionCode,\r\n                });\r\n              }\r\n\r\n              if (\r\n                this.selectedMethod === 'Logo only' &&\r\n                this.uploadedArtworks.length > 0\r\n              ) {\r\n                this.validateUploadedFile(\r\n                  this.productPrintData,\r\n                  this.uploadedFilesDataPerPrintPosition\r\n                );\r\n              }\r\n              console.log('uploaded:file', {\r\n                isFileUploaded: this.isFileUploaded,\r\n                uploadedArtworks: this.uploadedArtworks,\r\n                validationPipelineResults: this.preparedValidationResults,\r\n                isFileValid: this.isFileValid,\r\n                productPrintData: this.productPrintData,\r\n              } as FileUploadedPayload);\r\n\r\n              this.$emit('uploaded:file', {\r\n                isFileUploaded: this.isFileUploaded,\r\n                uploadedArtworks: this.uploadedArtworks,\r\n                validationPipelineResults: this.preparedValidationResults,\r\n                isFileValid: this.isFileValid,\r\n                productPrintData: this.productPrintData,\r\n                position: this.selectedPrintPositionData[i].printPositionCode,\r\n              } as FileUploadedPayload);\r\n            }\r\n            this.$emit('uploaded:uploading', false);\r\n          } else {\r\n            this.uploadedArtworks = [];\r\n            this.$emit('upload:reset');\r\n          }\r\n        } catch (error) {\r\n          this.isFileUploaded = false;\r\n          console.log(error);\r\n        }\r\n      }\r\n    },\r\n\r\n    async constructAddArtworkPayload(\r\n      orderLine: OrderLineDetail,\r\n      uploadedArtwork: ArtworkResult\r\n    ) {\r\n      const personalization = await customersAPI.getPersonalization(\r\n        orderLine.personalizationId\r\n      );\r\n      const proof = personalization.data.proofs[0];\r\n      const pmsColors = this.removeClosestColourIfExists(\r\n        uploadedArtwork.pmsColorsInPngFile\r\n      );\r\n      const form: EnrichPositionWithArtworkForm = {\r\n        id: uploadedArtwork.personalizationArtworkId,\r\n        userId: this.userId,\r\n        userFullName: this.userFullName,\r\n        instructions: this.instructions,\r\n        approverType: 'CustomerCare',\r\n        pmsColorsinPngFile: pmsColors ? pmsColors : [],\r\n        sendMailToCustomerCare: this.sendMailToCustomerCare,\r\n      };\r\n\r\n      return {\r\n        personalizationId: personalization.data.id,\r\n        proofId: proof.id,\r\n        form,\r\n      };\r\n    },\r\n\r\n    removeClosestColourIfExists(\r\n      pmsColors: PmsColor[] | null\r\n    ): PmsColor[] | null {\r\n      if (pmsColors === null) {\r\n        return null;\r\n      }\r\n\r\n      return pmsColors.map((c) => {\r\n        const includes = c.name.includes('Closest Pantone:');\r\n\r\n        if (includes) {\r\n          c.name = c.name.split(':')[1].trimStart();\r\n        }\r\n\r\n        return c;\r\n      });\r\n    },\r\n\r\n    // This is where the Next button will be enabled and disabled depending on the results that are returned from the validation pipeline\r\n    validateUploadedFile(\r\n      productPrintData: ProductPrintData,\r\n      uploadedFilesData: { positionSAPCode: string; files: ArtworkResult[] }[]\r\n    ) {\r\n      const payload = {\r\n        kind: 'Logo',\r\n        ...uploadedFilesData[0].files[0],\r\n        pngHorizontalResolutionDPIs:\r\n          uploadedFilesData[0].files[0].originalHorizontalResolutionDPIs,\r\n        pngVerticalResolutionDPIs:\r\n          uploadedFilesData[0].files[0].originalVerticalResolutionDPIs,\r\n      } as unknown as AnnotationShape;\r\n\r\n      const selectedPrintPositions =\r\n        this.prepareSelectedPrintPositions(productPrintData);\r\n\r\n      // payload.pngHorizontalResolutionDPIs =\r\n      //   payload.originalHorizontalResolutionDPIs;\r\n      // payload.pngVerticalResolutionDPIs =\r\n      //   payload.originalVerticalResolutionDPIs;\r\n\r\n      // Constructing validation pipeline\r\n      const pipeline = constructArtworkValidationPipeline(\r\n        productPrintData,\r\n        selectedPrintPositions,\r\n        [payload],\r\n        payload\r\n      );\r\n\r\n      // Executing validation pipeline\r\n      const validationPipelineResults: ValidatorResult = pipeline({\r\n        payload,\r\n        validationResult: [],\r\n      });\r\n\r\n      // Prepare validation pipeline results for displaying\r\n      this.preparedValidationResults = this.prepareValidationPipelineResults(\r\n        validationPipelineResults,\r\n        selectedPrintPositions\r\n      );\r\n\r\n      // Enable/disable Next button depending on the validation pipeline results\r\n      this.isFileValid = this.checkIfFileValid();\r\n    },\r\n\r\n    // Map the results to the array that is going to be used for dispaying the validator results\r\n    prepareValidationPipelineResults(\r\n      validationPipelineResults: ValidatorResult,\r\n      selectedPrintPositions: ProductPrintPositionBoxModel[]\r\n    ): PreparedValidationResult[] {\r\n      console.log('Validation results -> ', validationPipelineResults);\r\n      const adaptedValidationPipelineResults = [] as PreparedValidationResult[];\r\n\r\n      for (let validationResult of validationPipelineResults.validationResult) {\r\n        const printPositionSAPCode = selectedPrintPositions.find(\r\n          (p) => p.id === validationResult.printPositionId\r\n        )?.name as string;\r\n\r\n        if (\r\n          validationResult.validatorName === 'resolutionValidator' ||\r\n          validationResult.validatorName === 'fileTypeValidator' ||\r\n          validationResult.validatorName === 'vectorFileValidator'\r\n        ) {\r\n          let result = {} as PreparedValidationResult;\r\n\r\n          if (validationResult.validatorColor === 'Red') {\r\n            let validatorNotification = {} as ValidatorNotification;\r\n\r\n            if (validationResult.validatorName === 'resolutionValidator') {\r\n              validatorNotification = {\r\n                validatorName: `${this.$t(\r\n                  'upload-logo.validators.resolution.name'\r\n                )}`,\r\n                validatorMessage: `${printPositionSAPCode}: ${this.$t(\r\n                  'upload-logo.validators.resolution.red'\r\n                )}`,\r\n              };\r\n            } else if (validationResult.validatorName === 'fileTypeValidator') {\r\n              validatorNotification = {\r\n                validatorName: `${this.$t(\r\n                  'upload-logo.validators.file-type.name'\r\n                )}`,\r\n                validatorMessage: `${printPositionSAPCode}: ${this.$t(\r\n                  'upload-logo.validators.file-type.red'\r\n                )}`,\r\n              };\r\n            } else {\r\n              validatorNotification = {\r\n                validatorName: `${this.$t(\r\n                  'upload-logo.validators.vector-file.name'\r\n                )}`,\r\n                validatorMessage: `${printPositionSAPCode}: ${this.$t(\r\n                  'upload-logo.validators.vector-file.red'\r\n                )}`,\r\n              };\r\n            }\r\n\r\n            result = {\r\n              validatorName: validationResult.validatorName,\r\n              validatorNotification: validatorNotification,\r\n              validatorColor: validationResult.validatorColor,\r\n            };\r\n\r\n            adaptedValidationPipelineResults.push(result);\r\n          }\r\n\r\n          if (validationResult.validatorColor === 'Orange') {\r\n            if (validationResult.validatorName === 'resolutionValidator') {\r\n              const validatorNotification = {\r\n                validatorName: `${this.$t(\r\n                  'upload-logo.validators.resolution.name'\r\n                )}`,\r\n                validatorMessage: `${printPositionSAPCode}: ${this.$t(\r\n                  'upload-logo.validators.resolution.orange'\r\n                )}`,\r\n              };\r\n\r\n              result = {\r\n                validatorName: validationResult.validatorName,\r\n                validatorNotification: validatorNotification,\r\n                validatorColor: validationResult.validatorColor,\r\n              };\r\n\r\n              adaptedValidationPipelineResults.push(result);\r\n            }\r\n          }\r\n        }\r\n      }\r\n\r\n      return adaptedValidationPipelineResults;\r\n    },\r\n\r\n    prepareSelectedPrintPositions(\r\n      productPrintData: ProductPrintData\r\n    ): ProductPrintPositionBoxModel[] {\r\n      return this.selectedPrintPositionData.map(\r\n        ({ printPositionCode, printTechniqueCode }) => {\r\n          const printPosition = productPrintData.productPrintPositions.find(\r\n            (p) => p.name === printPositionCode\r\n          );\r\n\r\n          if (printPosition) {\r\n            return {\r\n              id: printPosition.id,\r\n              name: printPosition.name,\r\n              originalImageUrl: printPosition.originalImageUrl,\r\n              originalImageDpi: printPosition.originalImageDpi,\r\n              maxWidthMm: printPosition.maxWidthMm,\r\n              maxHeightMm: printPosition.maxHeightMm,\r\n              techniqueId: printPosition?.printTechniques?.find(\r\n                (t) => t.printTechnique.code === printTechniqueCode\r\n              )?.printTechnique.id,\r\n              maximumColours: printPosition?.printTechniques?.find(\r\n                (t) => t.printTechnique.code === printTechniqueCode\r\n              )?.maximumColours,\r\n            } as ProductPrintPositionBoxModel;\r\n          }\r\n\r\n          return {} as ProductPrintPositionBoxModel;\r\n        }\r\n      );\r\n    },\r\n\r\n    // Enabling/disabling Next button in footer\r\n    checkIfFileValid(): boolean {\r\n      let isValid = true;\r\n\r\n      for (let result of this.preparedValidationResults) {\r\n        if (result?.validatorColor === 'Red') {\r\n          isValid = false;\r\n          break;\r\n        }\r\n      }\r\n\r\n      return isValid;\r\n    },\r\n\r\n    generateNotificationSubTitle(): string {\r\n      let printPositionsSubTitle = '';\r\n\r\n      this.selectedPrintPositionData.forEach((p) => {\r\n        printPositionsSubTitle = printPositionsSubTitle.concat(\r\n          `${p.printPositionCode}, `\r\n        );\r\n      });\r\n\r\n      printPositionsSubTitle = printPositionsSubTitle.substring(\r\n        0,\r\n        printPositionsSubTitle.length - 2\r\n      );\r\n\r\n      return printPositionsSubTitle;\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/ts-loader/index.js??ref--15-2!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./TheApp.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/ts-loader/index.js??ref--15-2!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./TheApp.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./TheApp.vue?vue&type=template&id=a296f9ac\"\nimport script from \"./TheApp.vue?vue&type=script&lang=ts\"\nexport * from \"./TheApp.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./TheApp.vue?vue&type=style&index=0&id=a296f9ac&prod&lang=scss\")\nif (style0.__inject__) style0.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  null,\n  null\n  ,true\n)\n\nexport default component.exports","const isValidProofApprovalContext: (context: string) => boolean = (\r\n  context: string\r\n) => ['Customer', 'CustomerCare', 'PrePress'].includes(context);\r\n\r\nexport default isValidProofApprovalContext;\r\n","\r\nimport StyleProvider from '@/StyleProvider.vue';\r\nimport TheApp from './TheApp.vue';\r\nimport Vue, { PropType } from 'vue';\r\nimport i18n from '@/i18n';\r\nimport isValidLanguageValidator from '@/validators/langLocaleValidator';\r\nimport { mapActions, mapState, PiniaVuePlugin } from 'pinia';\r\nimport { useStore as useLangStore } from '@/stores/lang';\r\nimport { useStore as useAuthStore } from '@/stores/auth';\r\nimport isValidProofApprovalContext from '@/validators/proofApprovalContextValidator';\r\n\r\nVue.use(PiniaVuePlugin);\r\n\r\nimport { pinia } from '@/pinia';\r\nimport { SelectedPrintPositionData } from './typings';\r\nimport { SupportedLangCodes } from '@/constants/languageCodes';\r\nimport customersAPI from '@/services/CustomersService';\r\n\r\nexport default Vue.extend({\r\n  components: {\r\n    StyleProvider,\r\n    TheApp,\r\n  },\r\n\r\n  props: {\r\n    languageCode: {\r\n      type: String as PropType<SupportedLangCodes>,\r\n      required: false,\r\n      default: 'en',\r\n      validator: isValidLanguageValidator,\r\n    },\r\n    masterProductSku: {\r\n      type: String,\r\n      required: true,\r\n    },\r\n    sapCustomerId: {\r\n      type: String,\r\n      required: true,\r\n    },\r\n    tok: {\r\n      type: String,\r\n      required: true,\r\n    },\r\n    userId: {\r\n      type: String,\r\n      required: false,\r\n      default: '',\r\n    },\r\n    userFullName: {\r\n      type: String,\r\n      default: '',\r\n    },\r\n    context: {\r\n      type: String as PropType<'Customer' | 'CustomerCare' | 'PrePress'>,\r\n      required: true,\r\n      validator: isValidProofApprovalContext,\r\n    },\r\n    orderNumber: {\r\n      type: String,\r\n      required: false,\r\n      default: '',\r\n    },\r\n    orderLineId: {\r\n      type: String,\r\n      required: false,\r\n      default: '',\r\n    },\r\n    selectedPrintPositionData: {\r\n      type: Array as PropType<SelectedPrintPositionData[]>,\r\n      required: false,\r\n      default() {\r\n        return [];\r\n      },\r\n    },\r\n    instructions: {\r\n      type: String,\r\n      default: '',\r\n    },\r\n    sendMailToCustomerCare: {\r\n      type: Boolean,\r\n      default: false,\r\n    },\r\n    selectedMethod: {\r\n      type: String,\r\n      required: true,\r\n    },\r\n    numberOfColorsPerPrintPosition: {\r\n      type: Array as PropType<{ positionId: string; numberOfColors: number }[]>,\r\n      default() {\r\n        return [];\r\n      },\r\n    },\r\n    customerCompanyLogoUrl: {\r\n      type: String,\r\n      required: false,\r\n      default: '',\r\n    },\r\n  },\r\n\r\n  data() {\r\n    return {\r\n      instructionsData: this.instructions,\r\n      selectedPrintPosition: this.selectedPrintPositionData,\r\n      sendMailToCustomerCareData: this.sendMailToCustomerCare,\r\n    };\r\n  },\r\n\r\n  computed: {\r\n    ...mapState(useLangStore, ['languageInUse']),\r\n    ...mapState(useAuthStore, ['isTokValid']),\r\n  },\r\n  watch: {\r\n    async languageInUse() {\r\n      if (process.env.VUE_APP_USE_LOCAL_TRANSLATIONS === 'false') {\r\n        var translationsJson = await customersAPI.getTranslations(\r\n          this.languageInUse\r\n        );\r\n        this.$i18n.setLocaleMessage(this.languageInUse, translationsJson.data);\r\n      }\r\n    },\r\n    isTokValid(newValue) {\r\n      if (!newValue) {\r\n        this.$emit('token-invalid-or-expired');\r\n      }\r\n    },\r\n\r\n    async tok(newValue) {\r\n      if (newValue !== '') {\r\n        this.setTok(this.tok);\r\n        await this.setDefaultTranslations();\r\n      }\r\n    },\r\n\r\n    instructions(newValue) {\r\n      this.instructionsData = newValue;\r\n    },\r\n\r\n    selectedPrintPositionData(newValue) {\r\n      if (newValue === undefined || newValue.length === 0) {\r\n        this.$emit('selected-print-positions:empty');\r\n        return;\r\n      }\r\n      this.selectedPrintPosition = newValue;\r\n    },\r\n\r\n    sendMailToCustomerCare(newValue) {\r\n      this.sendMailToCustomerCareData = newValue;\r\n    },\r\n  },\r\n\r\n  async mounted() {\r\n    if (this.selectedPrintPositionData.length === 0) {\r\n      this.$emit('selected-print-positions:empty');\r\n    }\r\n    this.setLanguageLocale(this.languageCode);\r\n    this.setSapCustomerId(this.sapCustomerId);\r\n    this.setTok(this.tok);\r\n    await this.setDefaultTranslations();\r\n\r\n    console.log(\r\n      'Upload logo mounted - masterProductSku - ',\r\n      this.masterProductSku\r\n    );\r\n  },\r\n\r\n  methods: {\r\n    ...mapActions(useLangStore, ['setLanguageLocale','setDefaultTranslations']),\r\n    ...mapActions(useAuthStore, ['setSapCustomerId', 'setTok']),\r\n  },\r\n  i18n,\r\n  pinia,\r\n});\r\n","import mod from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/ts-loader/index.js??ref--15-2!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./upload-logo.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/ts-loader/index.js??ref--15-2!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./upload-logo.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./upload-logo.vue?vue&type=template&id=28b97faa\"\nimport script from \"./upload-logo.vue?vue&type=script&lang=ts\"\nexport * from \"./upload-logo.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./upload-logo.vue?vue&type=style&index=0&id=28b97faa&prod&lang=scss\")\nif (style0.__inject__) style0.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  null,\n  null\n  ,true\n)\n\nexport default component.exports","import {\r\n  CheckImageSmallDetailsCommand,\r\n  SmallDetailsPayload,\r\n} from '@/typings/SmallDetails';\r\nimport { WizardPayload } from '@/web-components/logo-library/typings';\r\nimport imageProcessingAPI from '@/services/FileService';\r\nimport { mm2px, px2mm } from '@/utils';\r\nimport { lineWidth } from '@/constants/areaLineWidth';\r\nimport { Polygon, Vector } from 'collider2d';\r\nimport { isConvex } from '@/utils/collisionHelper';\r\nimport { getSmallDetailsStatus } from '../components/SmallDetails/index';\r\nimport { base64StringToBlob } from 'blob-util';\r\nimport {\r\n  SmallDetailsPrintPosition,\r\n  ProductPrintAreaPoint,\r\n  ProductPrintArea,\r\n} from '@midocean/webapps-shared-domain';\r\n\r\nexport default {\r\n  async analyzeSmallDetails(\r\n    positions: SmallDetailsPrintPosition[]\r\n  ): Promise<SmallDetailsPayload[]> {\r\n    if (positions.length > 0) {\r\n      const results = await Promise.all(\r\n        positions.map(async (position) => {\r\n          const command: CheckImageSmallDetailsCommand = {\r\n            id: position.artworkId,\r\n            logoWidthInMm: position.calculatedWidth,\r\n            positiveLimitInMm: position.positiveLimitMM,\r\n            negativeLimitInMm: position.negativeLimitMM,\r\n            ignoreColors: position.ignoreColors,\r\n          };\r\n          const { data } = await imageProcessingAPI.checkImageSmallDetails(\r\n            command,\r\n            position.file\r\n          );\r\n\r\n          return {\r\n            positiveDetailsLoss: data.positiveDetailsLoss,\r\n            negativeDetailsLoss: data.negativeDetailsLoss,\r\n            calculatedQuality: data.calculatedQuality,\r\n            pngFile: data.pngFile !== null ? data.pngFile : '',\r\n            pngFileBlob:\r\n              data.pngFile !== null\r\n                ? base64StringToBlob(data.pngFile, 'image/png')\r\n                : new Blob(),\r\n            id: data.id,\r\n            isCheckValid: true,\r\n            approvedAt: undefined,\r\n            status: getSmallDetailsStatus(\r\n              data.positiveDetailsLoss,\r\n              data.negativeDetailsLoss,\r\n              data.calculatedQuality\r\n            ),\r\n          } as SmallDetailsPayload;\r\n        })\r\n      );\r\n\r\n      results.sort((a, b) => a.calculatedQuality - b.calculatedQuality);\r\n\r\n      return results;\r\n    }\r\n\r\n    return [];\r\n  },\r\n\r\n  calculateArtworkSize(\r\n    payload: WizardPayload,\r\n    activePosition: SmallDetailsPrintPosition\r\n  ) {\r\n    const artworkSpaceConsumed = 97; // value in percents\r\n    let calcArtworkWidth = 0;\r\n    let calcArtworkHeight = 0;\r\n    const CORRECTION_FACTOR = 0;\r\n\r\n    const { originalImageWebDpi, originalImageWidthPx, originalImageDpi } =\r\n      activePosition;\r\n\r\n    const webImageWidthPx =\r\n      originalImageWidthPx &&\r\n      originalImageWebDpi &&\r\n      originalImageDpi &&\r\n      (originalImageWidthPx * originalImageWebDpi) / originalImageDpi;\r\n    const rectLineWidth = (lineWidth * (webImageWidthPx as number)) / 100;\r\n\r\n    const aspectRatioWH = payload.pngWidthPixels / payload.pngHeightPixels;\r\n    const aspectRatioHW = payload.pngHeightPixels / payload.pngWidthPixels;\r\n\r\n    if (activePosition && activePosition.printArea?.shapeType === 'Rectangle') {\r\n      const areaRect = {\r\n        x: this.drawPoints(activePosition).x + rectLineWidth / 2,\r\n        y: this.drawPoints(activePosition).y + rectLineWidth / 2,\r\n        w: this.drawPoints(activePosition).w - rectLineWidth,\r\n        h: this.drawPoints(activePosition).h - rectLineWidth,\r\n      };\r\n\r\n      const artworkRatio = payload.pngWidthPixels / payload.pngHeightPixels;\r\n      const areaRatio = areaRect.w / areaRect.h;\r\n\r\n      // Artwork is more landscape than area - fit to width\r\n      if (artworkRatio > areaRatio) {\r\n        calcArtworkWidth = areaRect.w - CORRECTION_FACTOR;\r\n        calcArtworkHeight =\r\n          (calcArtworkWidth / payload.pngWidthPixels) * payload.pngHeightPixels;\r\n      }\r\n      // Artwork is more portrait than area - fit to height\r\n      else {\r\n        calcArtworkHeight = areaRect.h - CORRECTION_FACTOR;\r\n        calcArtworkWidth =\r\n          (calcArtworkHeight / payload.pngHeightPixels) *\r\n          payload.pngWidthPixels;\r\n      }\r\n    }\r\n\r\n    if (activePosition && activePosition.printArea?.shapeType === 'Ellipse') {\r\n      const min =\r\n        this.drawPoints(activePosition).rx < this.drawPoints(activePosition).ry\r\n          ? this.drawPoints(activePosition).rx\r\n          : this.drawPoints(activePosition).ry;\r\n      let size = 0;\r\n      if (\r\n        Math.abs(\r\n          this.drawPoints(activePosition).ry -\r\n            this.drawPoints(activePosition).rx\r\n        ) > 630\r\n      ) {\r\n        size = min * 2;\r\n      } else {\r\n        size = min * 1.6;\r\n      }\r\n\r\n      if (aspectRatioWH >= aspectRatioHW) {\r\n        calcArtworkWidth = (size * (artworkSpaceConsumed - 15)) / 100;\r\n        calcArtworkHeight = calcArtworkWidth / aspectRatioWH;\r\n      } else {\r\n        calcArtworkHeight = (size * (artworkSpaceConsumed - 15)) / 100;\r\n        calcArtworkWidth = calcArtworkHeight / aspectRatioHW;\r\n      }\r\n    }\r\n\r\n    if (activePosition && activePosition.printArea?.shapeType === 'Polygon') {\r\n      const size = this.polygonDetails(activePosition).minDistance;\r\n\r\n      if (aspectRatioWH >= aspectRatioHW) {\r\n        calcArtworkWidth = (size * artworkSpaceConsumed) / 100;\r\n        calcArtworkHeight = calcArtworkWidth / aspectRatioWH;\r\n      } else {\r\n        calcArtworkHeight = (size * artworkSpaceConsumed) / 100;\r\n        calcArtworkWidth = calcArtworkHeight / aspectRatioHW;\r\n      }\r\n    }\r\n\r\n    return px2mm(calcArtworkWidth, originalImageWebDpi as number);\r\n  },\r\n\r\n  polygonDetails(activePosition: SmallDetailsPrintPosition) {\r\n    const vectors = [];\r\n    for (let i = 0; i < this.area(activePosition).length; i++) {\r\n      vectors.push(\r\n        new Vector(\r\n          this.area(activePosition)[i]?.x,\r\n          this.area(activePosition)[i]?.y\r\n        )\r\n      );\r\n    }\r\n    const polygon = new Polygon(new Vector(0, 0), vectors);\r\n    const centroid = polygon.getCentroid();\r\n\r\n    let min = Number.MAX_VALUE;\r\n\r\n    if (!isConvex(polygon)) {\r\n      const points = [...polygon.points];\r\n      for (let i = 0; i < points.length; i++) {\r\n        const point = points[i].clone();\r\n        const distanceToPoint = point.sub(centroid).len();\r\n        if (distanceToPoint < min) {\r\n          min = distanceToPoint;\r\n        }\r\n      }\r\n    } else {\r\n      const points = [...polygon.points];\r\n      for (let i = 0; i < points.length; i++) {\r\n        let next = i + 1;\r\n        if (next >= points.length) {\r\n          next = 0;\r\n        }\r\n\r\n        // calculate slope ---> (y2-y1)/(x2-x1)\r\n        const k =\r\n          (points[next].y - points[i].y) / (points[next].x - points[i].x);\r\n\r\n        // calcualte n --->  y = kx + n; n = y - kx;\r\n        const n = points[i].y - k * points[i].x;\r\n\r\n        // transform to Ax + By + C = 0 --> - kx + y - n = 0;\r\n        const a = -k;\r\n        const b = 1;\r\n        const c = -n;\r\n\r\n        // calculate distance ---> d = abs(a*x0 + b*y0 + c) / sqrt(a*a + b*b)\r\n        const distanceToSide = Math.abs(\r\n          (a * centroid.x + b * centroid.y + c) / Math.sqrt(a * a + b * b)\r\n        );\r\n        if (distanceToSide < min) {\r\n          min = distanceToSide;\r\n        }\r\n      }\r\n    }\r\n    return {\r\n      x: centroid.x,\r\n      y: centroid.y,\r\n      minDistance: min * 1.5,\r\n    };\r\n  },\r\n\r\n  area(activePosition: SmallDetailsPrintPosition | undefined) {\r\n    if (!activePosition) return [];\r\n\r\n    const { printArea, originalImageWebDpi } = activePosition;\r\n    const points: ProductPrintAreaPoint[] = (printArea as ProductPrintArea)\r\n      ?.productPrintAreaPoints;\r\n\r\n    if (!points) return [];\r\n\r\n    return [...points]\r\n      .sort((a, b) => (a.sequenceNo > b.sequenceNo ? 1 : -1))\r\n      .map((point: ProductPrintAreaPoint) => {\r\n        return {\r\n          x: mm2px(\r\n            point['distanceFromLeftEdge'],\r\n            originalImageWebDpi === 0 ? 96 : originalImageWebDpi\r\n          ),\r\n          y: mm2px(\r\n            point['distanceFromTop'],\r\n            originalImageWebDpi === 0 ? 96 : originalImageWebDpi\r\n          ),\r\n        };\r\n      });\r\n  },\r\n\r\n  drawPoints(activePosition: SmallDetailsPrintPosition): any | undefined {\r\n    if (!this.area(activePosition).length) return;\r\n\r\n    const {\r\n      printArea,\r\n      originalImageWebDpi,\r\n      originalImageWidthPx,\r\n      originalImageDpi,\r\n    } = activePosition;\r\n\r\n    if (printArea?.shapeType === 'Rectangle') {\r\n      const webImageWidthPx =\r\n        (originalImageWidthPx * originalImageWebDpi) / originalImageDpi;\r\n      const rectLineWidth = (lineWidth * webImageWidthPx) / 100;\r\n\r\n      return {\r\n        x: this.area(activePosition)[0]?.x - rectLineWidth / 2,\r\n        y: this.area(activePosition)[0]?.y - rectLineWidth / 2,\r\n        w: mm2px(printArea.widthMm, originalImageWebDpi) + rectLineWidth,\r\n        h: mm2px(printArea.heightMm, originalImageWebDpi) + rectLineWidth,\r\n      };\r\n    }\r\n    if (printArea?.shapeType === 'Ellipse') {\r\n      return {\r\n        x:\r\n          (this.area(activePosition)[0].x + this.area(activePosition)[1].x) / 2,\r\n        y:\r\n          (this.area(activePosition)[0].y + this.area(activePosition)[1].y) / 2,\r\n        rx:\r\n          (this.area(activePosition)[1].x - this.area(activePosition)[0].x) / 2,\r\n        ry:\r\n          (this.area(activePosition)[1].y - this.area(activePosition)[0].y) / 2,\r\n      };\r\n    }\r\n    if (printArea?.shapeType === 'Polygon') {\r\n      return [...this.area(activePosition), this.area(activePosition)[0]];\r\n    }\r\n  },\r\n};\r\n","import { ArtworkResult } from '@/components/w2pFileUploader';\r\nimport {\r\n  ProductPrintTechnique,\r\n  SmallDetailsRepresentation,\r\n} from '@midocean/webapps-shared-domain';\r\nimport { determineRangeSAPCode } from '@/utils/generatePriceParamsEventPayload';\r\n\r\nimport {\r\n  CreatePersonalizationForm,\r\n  NewProductPrintPositionForms,\r\n  NewProofForm,\r\n  PersonalizationArtwork,\r\n  ProductVariant,\r\n  ProductVariantImage,\r\n} from '@midocean/webapps-shared-domain';\r\nimport { px2mm } from '@/utils';\r\nimport {\r\n  PmsColor,\r\n  PrintTechnique,\r\n  ProductPrintPosition,\r\n  ProductPrintData,\r\n} from '@midocean/webapps-shared-domain';\r\n\r\nconst getPrintTechniqueCode = (\r\n  productPrintData: ProductPrintData,\r\n  printPositionSAPCode: string,\r\n  printTechinqueSAPCode: string\r\n) => {\r\n  return productPrintData.productPrintPositions\r\n    .filter((p) => p.name === printPositionSAPCode)\r\n    .map(({ printTechniques }) =>\r\n      printTechniques.find(\r\n        (pt) => pt.printTechnique.code === printTechinqueSAPCode\r\n      )\r\n    )[0]?.printTechnique.code;\r\n};\r\n\r\nconst getPrintTechniqueName = (\r\n  languageCode: string,\r\n  productPrintData: ProductPrintData,\r\n  printPositionSAPCode: string,\r\n  printTechinqueSAPCode: string\r\n) => {\r\n  const printTechnique = productPrintData.productPrintPositions\r\n    .filter((p) => p.name === printPositionSAPCode)\r\n    .map(({ printTechniques }) =>\r\n      printTechniques.find(\r\n        (pt) => pt.printTechnique.code === printTechinqueSAPCode\r\n      )\r\n    )[0]?.printTechnique;\r\n\r\n  const techniqueName = printTechnique?.nameTranslations.find(\r\n    (nt) => nt.language.code === languageCode\r\n  )?.text;\r\n\r\n  return techniqueName === '' || techniqueName === undefined\r\n    ? printTechnique?.nameTranslations.find((nt) => nt.language.code === 'en')\r\n        ?.text\r\n    : techniqueName;\r\n};\r\n\r\nconst getByPositionId = (\r\n  printPositionId: string,\r\n  variantsByPositions: {\r\n    variantColor: string;\r\n    imageUrl: ProductVariantImage[];\r\n  }[]\r\n) => {\r\n  return variantsByPositions.map((x) => {\r\n    return {\r\n      variantColor: x.variantColor,\r\n      imageUrl:\r\n        x.imageUrl.find((url) => url.printPositionID === printPositionId)\r\n          ?.imageUrl || 'temp url',\r\n    };\r\n  });\r\n};\r\n\r\nconst logosByPosition = (\r\n  artworkPayloads: ArtworkResult[],\r\n  positionArtworkMap: {\r\n    printPositionSAPCode: string;\r\n    artworkId: string;\r\n    width: number;\r\n    height: number;\r\n    smallDetails: SmallDetailsRepresentation;\r\n  }[],\r\n  printPositionSAPCode: string\r\n) => {\r\n  return artworkPayloads.filter((artwork) =>\r\n    positionArtworkMap.some(\r\n      (pam) =>\r\n        pam.printPositionSAPCode === printPositionSAPCode &&\r\n        pam.artworkId === artwork.personalizationArtworkId\r\n    )\r\n  );\r\n};\r\n\r\nconst removeClosestColourIfExists = (\r\n  pmsColors: PmsColor[] | null\r\n): PmsColor[] | null => {\r\n  if (pmsColors === null) {\r\n    return null;\r\n  }\r\n\r\n  return pmsColors.map((c) => {\r\n    const includes = c.name.includes('Closest Pantone:');\r\n\r\n    if (includes) {\r\n      c.name = c.name.split(':')[1].trimStart();\r\n    }\r\n\r\n    return c;\r\n  });\r\n};\r\n\r\nconst constructFullDesignNewProofForm = (\r\n  languageCode: string,\r\n  uploadedArtworksData: ArtworkResult[],\r\n  printPositions: ProductPrintPosition[],\r\n  printTechniques: Map<string, PrintTechnique>,\r\n  positionArtworkMap: {\r\n    printPositionSAPCode: string;\r\n    artworkId: string;\r\n    width: number;\r\n    height: number;\r\n  }[],\r\n  productPrintData: ProductPrintData,\r\n  variantsByPositions: any[],\r\n  instructions: string,\r\n  colorsFromPdpPerPrintPosition: Map<string, number>,\r\n  isFullDesignWithArtworksPathEnabled: boolean,\r\n  isSameLogoForAllPrintPosition: boolean\r\n): NewProofForm => {\r\n  return {\r\n    newProductPrintPositionForms: printPositions.map((u, i) => {\r\n      const dpi =\r\n        positionImageDpi(u?.id, productPrintData.productPrintPositions) || 300;\r\n      const positions = positionArtworkMap.filter((position: any) => {\r\n        return position.printPositionSAPCode === u?.name;\r\n      });\r\n\r\n      const { width, height } = calculatePrintArea(\r\n        dpi,\r\n        positions,\r\n        uploadedArtworksData\r\n      );\r\n\r\n      const printTechnique = printTechniques.get(u.name);\r\n\r\n      if (printTechnique)\r\n        return {\r\n          name: u?.name,\r\n          sapCode: u?.name,\r\n          widthMm: width || 0,\r\n          heightMm: height || 0,\r\n          instructions: instructions,\r\n          numberOfColorsFromPdp: colorsFromPdpPerPrintPosition.get(u.name),\r\n          productPrintTechnique: {\r\n            name: getPrintTechniqueName(\r\n              languageCode,\r\n              productPrintData,\r\n              u?.name,\r\n              printTechnique.printTechnique\r\n                ? printTechnique.printTechnique.code\r\n                : ''\r\n            ),\r\n            sapCode: getPrintTechniqueCode(\r\n              productPrintData,\r\n              u?.name,\r\n              printTechnique.printTechnique\r\n                ? printTechnique.printTechnique.code\r\n                : ''\r\n            ),\r\n            sapRangeCode: determineRangeSAPCode(\r\n              Math.round(width),\r\n              Math.round(height),\r\n              printTechnique\r\n            ),\r\n          } as ProductPrintTechnique,\r\n          printPositionImages: getByPositionId(u?.id, variantsByPositions),\r\n          personalizationTexts: [],\r\n          personalizationArtworks: isFullDesignWithArtworksPathEnabled\r\n            ? uploadedArtworksData\r\n            : [],\r\n        } as unknown as NewProductPrintPositionForms;\r\n    }),\r\n    isSameLogoForAllPosition: isSameLogoForAllPrintPosition,\r\n  } as NewProofForm;\r\n};\r\n\r\nconst constructFullDesignArtworksNewProofForm = (\r\n  languageCode: string,\r\n  uploadedArtworksData: ArtworkResult[],\r\n  printPositions: ProductPrintPosition[],\r\n  printTechniques: Map<string, PrintTechnique>,\r\n  positionArtworkMap: {\r\n    printPositionSAPCode: string;\r\n    artworkId: string;\r\n    width: number;\r\n    height: number;\r\n  }[],\r\n  productPrintData: ProductPrintData,\r\n  variantsByPositions: any[],\r\n  instructions: string,\r\n  colorsFromPdpPerPrintPosition: Map<string, number>,\r\n  isFullDesignWithArtworksPathEnabled: boolean,\r\n  isSameLogoForAllPrintPosition: boolean\r\n): NewProofForm => {\r\n  return {\r\n    newProductPrintPositionForms: printPositions.map((u, i) => {\r\n      const dpi =\r\n        positionImageDpi(u?.id, productPrintData.productPrintPositions) || 300;\r\n      const positions = positionArtworkMap.filter((position: any) => {\r\n        return position.printPositionSAPCode === u?.name;\r\n      });\r\n\r\n      const { width, height } = calculatePrintArea(\r\n        dpi,\r\n        positions,\r\n        uploadedArtworksData\r\n      );\r\n\r\n      const printTechnique = printTechniques.get(u.name);\r\n\r\n      if (printTechnique)\r\n        return {\r\n          name: u?.name,\r\n          sapCode: u?.name,\r\n          widthMm: width || 0,\r\n          heightMm: height || 0,\r\n          instructions: instructions,\r\n          numberOfColorsFromPdp: colorsFromPdpPerPrintPosition.get(u.name),\r\n          productPrintTechnique: {\r\n            name: getPrintTechniqueName(\r\n              languageCode,\r\n              productPrintData,\r\n              u?.name,\r\n              printTechnique.printTechnique\r\n                ? printTechnique.printTechnique.code\r\n                : ''\r\n            ),\r\n            sapCode: getPrintTechniqueCode(\r\n              productPrintData,\r\n              u?.name,\r\n              printTechnique.printTechnique\r\n                ? printTechnique.printTechnique.code\r\n                : ''\r\n            ),\r\n            sapRangeCode: determineRangeSAPCode(\r\n              Math.round(width),\r\n              Math.round(height),\r\n              printTechnique\r\n            ),\r\n          } as ProductPrintTechnique,\r\n          printPositionImages: getByPositionId(u?.id, variantsByPositions),\r\n          personalizationTexts: [],\r\n          personalizationArtworks: [\r\n            {\r\n              id: uploadedArtworksData.find((x) => x.position === u.name)\r\n                ?.personalizationArtworkId,\r\n            },\r\n          ],\r\n        } as unknown as NewProductPrintPositionForms;\r\n    }),\r\n    isSameLogoForAllPosition: isSameLogoForAllPrintPosition,\r\n  } as NewProofForm;\r\n};\r\n\r\nconst constructLogoOnlyNewProofForm = (\r\n  languageCode: string,\r\n  uploadedArtworksData: ArtworkResult[],\r\n  printPositions: ProductPrintPosition[],\r\n  printTechniques: Map<string, PrintTechnique>,\r\n  positionArtworkMap: {\r\n    printPositionSAPCode: string;\r\n    artworkId: string;\r\n    width: number;\r\n    height: number;\r\n    smallDetails: SmallDetailsRepresentation;\r\n  }[],\r\n  productPrintData: ProductPrintData,\r\n  variantsByPositions: any[],\r\n  instructions: string,\r\n  colorsFromPdpPerPrintPosition: Map<string, number>\r\n): NewProofForm => {\r\n  return {\r\n    newProductPrintPositionForms: printPositions.map((u, i) => {\r\n      const dpi =\r\n        positionImageDpi(u?.id, productPrintData.productPrintPositions) || 300;\r\n      const positions = positionArtworkMap.filter((position: any) => {\r\n        return position.printPositionSAPCode === u?.name;\r\n      });\r\n\r\n      const { width, height } = calculatePrintArea(\r\n        dpi,\r\n        positions,\r\n        uploadedArtworksData\r\n      );\r\n\r\n      const printTechnique = printTechniques.get(u.name);\r\n\r\n      if (printTechnique)\r\n        return {\r\n          name: u?.name || 'temp name',\r\n          sapCode: u?.name,\r\n          widthMm: width || 0,\r\n          heightMm: height || 0,\r\n          instructions: instructions,\r\n          numberOfColorsFromPdp: colorsFromPdpPerPrintPosition.get(u.name) ?? 0,\r\n          productPrintTechnique: {\r\n            name:\r\n              getPrintTechniqueName(\r\n                languageCode,\r\n                productPrintData,\r\n                u?.name,\r\n                printTechnique.printTechnique\r\n                  ? printTechnique.printTechnique.code\r\n                  : ''\r\n              ) || 'temp name',\r\n            sapCode: getPrintTechniqueCode(\r\n              productPrintData,\r\n              u?.name,\r\n              printTechnique.printTechnique\r\n                ? printTechnique.printTechnique.code\r\n                : ''\r\n            ),\r\n            sapRangeCode: determineRangeSAPCode(\r\n              Math.round(width),\r\n              Math.round(height),\r\n              printTechnique\r\n            ),\r\n          } as ProductPrintTechnique,\r\n          printPositionImages: getByPositionId(u?.id, variantsByPositions),\r\n          personalizationTexts: [], // TODO pending\r\n          personalizationArtworks: logosByPosition(\r\n            uploadedArtworksData,\r\n            positionArtworkMap,\r\n            u?.name\r\n          ).map((artwork) => {\r\n            return {\r\n              id: artwork.personalizationArtworkId,\r\n              pmsColorsinPngFile: removeClosestColourIfExists(\r\n                artwork.pmsColorsInPngFile\r\n              ),\r\n              height: generateHeight(positionArtworkMap[i].height, artwork),\r\n              width: generateWidth(positionArtworkMap[i].width, artwork),\r\n              pngHorizontalResolutionDPIs: artwork.pngHorizontalResolutionDPIs,\r\n              pngVerticalResolutionDPIs: artwork.pngVerticalResolutionDPIs,\r\n              smallDetails:\r\n                positionArtworkMap[i].smallDetails != null\r\n                  ? {\r\n                      positiveLoss:\r\n                        positionArtworkMap[i].smallDetails.positiveLoss,\r\n                      negativeLoss:\r\n                        positionArtworkMap[i].smallDetails.negativeLoss,\r\n                      approvedAt: positionArtworkMap[i].smallDetails.approvedAt,\r\n                      status: positionArtworkMap[i].smallDetails.status,\r\n                      calculatedQuality:\r\n                        positionArtworkMap[i].smallDetails.calculatedQuality,\r\n                    }\r\n                  : null,\r\n            } as unknown as PersonalizationArtwork;\r\n          }),\r\n        } as unknown as NewProductPrintPositionForms;\r\n    }),\r\n  } as NewProofForm;\r\n};\r\n\r\nconst positionImageDpi = (\r\n  positionId: string,\r\n  productPrintPositions: ProductPrintPosition[]\r\n) => {\r\n  return productPrintPositions.find((p) => p.id === positionId)\r\n    ?.originalImageWebDpi;\r\n};\r\n\r\nconst calculatePrintArea = (\r\n  dpi: number,\r\n  positions: {\r\n    printPositionSAPCode: string;\r\n    artworkId: string;\r\n    width: number;\r\n    height: number;\r\n  }[],\r\n  artworks: ArtworkResult[]\r\n) => {\r\n  const artwork = artworks.filter((artwork: ArtworkResult) => {\r\n    return positions.find(\r\n      (pos: any) => artwork.personalizationArtworkId === pos.artworkId\r\n    );\r\n  })[0];\r\n\r\n  const width = positions.find(\r\n    (p) => p.artworkId === artwork.personalizationArtworkId\r\n  )?.width;\r\n  const height = positions.find(\r\n    (p) => p.artworkId === artwork.personalizationArtworkId\r\n  )?.height;\r\n\r\n  return {\r\n    width: width ? width : px2mm(artwork?.pngWidthPixels, dpi),\r\n    height: height ? height : px2mm(artwork?.pngHeightPixels, dpi),\r\n  };\r\n};\r\n\r\nconst generateHeight = (height: number, artwork: ArtworkResult) => {\r\n  return height === 0\r\n    ? px2mm(artwork.pngHeightPixels, artwork.pngVerticalResolutionDPIs)\r\n    : height;\r\n};\r\n\r\nconst generateWidth = (width: number, artwork: ArtworkResult) => {\r\n  return width === 0\r\n    ? px2mm(artwork.pngWidthPixels, artwork.pngHorizontalResolutionDPIs)\r\n    : width;\r\n};\r\n\r\nexport const constructLogoOnlyNewPersonalizationForm = (\r\n  languageCode: string,\r\n  sapCustomerId: string,\r\n  masterProductSku: string,\r\n  uploadedFileData: ArtworkResult[],\r\n  retrievedProductData: ProductPrintData,\r\n  productPrintPositions: ProductPrintPosition[],\r\n  productPrintTechniques: Map<string, PrintTechnique>,\r\n  productVariants: ProductVariant[],\r\n  variantsByPositions: any[],\r\n  positionArtworkMap: {\r\n    printPositionSAPCode: string;\r\n    artworkId: string;\r\n    width: number;\r\n    height: number;\r\n    smallDetails: SmallDetailsRepresentation;\r\n  }[],\r\n  sendMailToCustomerCare: boolean,\r\n  instructions: string,\r\n  colorsFromPdpPerPrintPosition: Map<string, number>,\r\n  orderNumber?: string,\r\n  orderLineId?: string,\r\n  customerCompanyLogoUrl?: string\r\n): CreatePersonalizationForm => {\r\n  const newProofForm = constructLogoOnlyNewProofForm(\r\n    languageCode,\r\n    uploadedFileData,\r\n    productPrintPositions,\r\n    productPrintTechniques,\r\n    positionArtworkMap,\r\n    retrievedProductData,\r\n    variantsByPositions,\r\n    instructions,\r\n    colorsFromPdpPerPrintPosition\r\n  );\r\n\r\n  return {\r\n    externalCustomerId: sapCustomerId,\r\n    productSKU: masterProductSku,\r\n    productName: retrievedProductData.name,\r\n    customerCompanyLogoUrl: customerCompanyLogoUrl,\r\n    contactLanguageCode: languageCode,\r\n    creator: '',\r\n    newProofForm: newProofForm,\r\n    isConcept: true,\r\n    isDirectApproval: false,\r\n    orderNumber: orderNumber,\r\n    orderLineId: orderLineId,\r\n    proofType: 'OnlineSimplePersonalization',\r\n    productVariants: productVariants,\r\n    sendMailToCustomerCare: sendMailToCustomerCare,\r\n  } as CreatePersonalizationForm;\r\n};\r\n\r\nexport const constructFullDesignNewPersonalizationForm = (\r\n  languageCode: string,\r\n  sapCustomerId: string,\r\n  masterProductSku: string,\r\n  uploadedFileData: ArtworkResult[],\r\n  retrievedProductData: ProductPrintData,\r\n  productPrintPositions: ProductPrintPosition[],\r\n  productPrintTechniques: Map<string, PrintTechnique>,\r\n  productVariants: ProductVariant[],\r\n  variantsByPositions: any[],\r\n  positionArtworkMap: {\r\n    printPositionSAPCode: string;\r\n    artworkId: string;\r\n    width: number;\r\n    height: number;\r\n  }[],\r\n  sendMailToCustomerCare: boolean,\r\n  instructions: string,\r\n  colorsFromPdpPerPrintPosition: Map<string, number>,\r\n  isFullDesignWithArtworksPathEnabled: boolean,\r\n  isSameLogoForAllPrintPosition: boolean,\r\n  orderNumber?: string,\r\n  orderLineId?: string\r\n): CreatePersonalizationForm => {\r\n  const newProofForm = isFullDesignWithArtworksPathEnabled\r\n    ? constructFullDesignArtworksNewProofForm(\r\n        languageCode,\r\n        uploadedFileData,\r\n        productPrintPositions,\r\n        productPrintTechniques,\r\n        positionArtworkMap,\r\n        retrievedProductData,\r\n        variantsByPositions,\r\n        instructions,\r\n        colorsFromPdpPerPrintPosition,\r\n        isFullDesignWithArtworksPathEnabled,\r\n        isSameLogoForAllPrintPosition\r\n      )\r\n    : constructFullDesignNewProofForm(\r\n        languageCode,\r\n        uploadedFileData,\r\n        productPrintPositions,\r\n        productPrintTechniques,\r\n        positionArtworkMap,\r\n        retrievedProductData,\r\n        variantsByPositions,\r\n        instructions,\r\n        colorsFromPdpPerPrintPosition,\r\n        isFullDesignWithArtworksPathEnabled,\r\n        isSameLogoForAllPrintPosition\r\n      );\r\n\r\n  return {\r\n    externalCustomerId: sapCustomerId,\r\n    productSKU: masterProductSku,\r\n    productName: retrievedProductData.name,\r\n    customerCompanyLogoUrl: '',\r\n    contactLanguageCode: languageCode,\r\n    creator: '',\r\n    newProofForm: newProofForm,\r\n    isConcept: true,\r\n    isDirectApproval: false,\r\n    orderNumber: orderNumber,\r\n    orderLineId: orderLineId,\r\n    proofType: isFullDesignWithArtworksPathEnabled\r\n      ? 'FullDesignWithArtworks'\r\n      : 'FullDesign',\r\n    productVariants: productVariants,\r\n    sendMailToCustomerCare: sendMailToCustomerCare,\r\n  } as CreatePersonalizationForm;\r\n};\r\n","/**\n * Copyright IBM Corp. 2019, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nimport { c as createSVGComponent } from '../utils-9450cd75.js';\nimport '@carbon/icon-helpers';\nimport 'vue';\n\nconst ToolsAlt20 = createSVGComponent('ToolsAlt20', {\n  \"xmlns\": \"http://www.w3.org/2000/svg\",\n  \"viewBox\": \"0 0 32 32\",\n  \"fill\": \"currentColor\",\n  \"width\": 20,\n  \"height\": 20\n}, [{\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M23.1,16l6.3-6.3c0.8-0.8,0.8-2,0-2.8l-4.2-4.2c-0.8-0.8-2-0.8-2.8,0L16,8.9L9.7,2.6c-0.8-0.8-2-0.8-2.8,0L2.6,6.8\\tc-0.8,0.8-0.8,2,0,2.8L8.9,16L2,22.9V30h7.1l6.9-6.9l6.3,6.3c0.8,0.8,2,0.8,2.8,0l4.2-4.2c0.8-0.8,0.8-2,0-2.8L23.1,16z M23.8,4\\tL28,8.2l-6.3,6.3l-4.2-4.2L23.8,4z M8.2,28H4v-4.2l6.3-6.3l4.2,4.2L8.2,28z M23.8,28L4,8.2L8.2,4l3.5,3.5L9.6,9.6l1.4,1.4l2.1-2.1\\tl4.2,4.2l-2.1,2.1l1.4,1.4l2.1-2.1l4.2,4.2L21,20.9l1.4,1.4l2.1-2.1l3.5,3.5L23.8,28z\"\n  }\n}]);\n\nexport { ToolsAlt20 as default };\n","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('div',{staticClass:\"bx--file__container\"},[_c('cv-accordion',{attrs:{\"align\":_vm.end}},[_vm._l((_vm.visiblePositions),function(position){return _c('cv-accordion-item',{key:position.printPositionSAPCode},[_c('template',{slot:\"title\"},[_c('div',{staticClass:\"selected__info\"},[_c('div',{staticClass:\"selected__info-thumbnail\"},[_c('img',{staticClass:\"selected__info-image\",attrs:{\"src\":_vm.selectedVariantImageUrl(position)}})]),_c('div',{staticClass:\"selected__info--inner-wrap\"},[_c('h5',{staticClass:\"selected__info-name\"},[_vm._v(\" \"+_vm._s(_vm.isSameLogoForAllPrintPositions ? _vm.$t('section.actions.all-positions') : position.printPositionSAPCode)+\" \")]),(!_vm.isSameLogoForAllPrintPositions)?_c('p',{staticClass:\"selected__info-technique\"},[_vm._v(\" \"+_vm._s(_vm.techniqueNameTranslated( position.printPositionSAPCode, position.printTechniqueSAPCode ))+\" \"+_vm._s(_vm.maximumColoursRepresentation)+\" \")]):_vm._e()])])]),_c('template',{slot:\"content\"},[_c('div',[_c('upload-logo',{attrs:{\"language-code\":_vm.languageCode,\"master-product-sku\":_vm.masterProductSku,\"sap-customer-id\":_vm.sapCustomerId,\"tok\":_vm.tok,\"context\":_vm.context,\"selected-print-position-data\":_vm.selectedPrintPositionData.filter(\n                (pos) =>\n                  pos.printPositionCode === position.printPositionSAPCode\n              ),\"selected-method\":_vm.selectedMethod,\"number-of-colors-per-print-position\":_vm.numberOfColorsPerPrintPosition,\"customer-company-logo-url\":_vm.customerCompanyLogoUrl},on:{\"update:next-button\":() => _vm.$emit('update:next-button'),\"uploaded:file\":(fileUploadedPayload) =>\n                _vm.$emit('uploaded:file', {\n                  ...fileUploadedPayload,\n                  position: position.printPositionSAPCode,\n                }),\"uploaded:uploading\":(uploading) => _vm.$emit('uploaded:uploading', uploading),\"upload-logo:success\":(successEvent) => _vm.$emit('upload-logo:success', successEvent),\"upload-logo:failure\":(failureEvent) => _vm.$emit('upload-logo:failure', failureEvent),\"upload-logo:product-not-printable\":(notPrintableEvent) =>\n                _vm.$emit('upload-logo:product-not-printable', notPrintableEvent),\"upload:reset\":function($event){return _vm.$emit('upload:reset', position.printPositionSAPCode)}}}),_c('cv-checkbox',{staticClass:\"accept-logos\",attrs:{\"value\":'some',\"label\":_vm.$t('section.actions.upload-same-logo'),\"disabled\":_vm.isCheckboxDisabled(position.printPositionSAPCode),\"checked\":_vm.isSameLogoForAllPrintPositions},on:{\"change\":function($event){return _vm.handleSameLogo(position.printPositionSAPCode)}}})],1)])],2)}),_c('cv-accordion-item',[_c('template',{slot:\"title\"},[_c('div',{staticClass:\"selected__info\"},[_c('div',{staticClass:\"selected__info-thumbnail\"},[_c('document-32')],1),_c('div',{staticClass:\"selected__info--inner-wrap\"},[_c('h5',{staticClass:\"selected__info-name\"},[_vm._v(\" \"+_vm._s(_vm.$t('flow-starter.items.additional-files'))+\" \")]),_c('p',{staticClass:\"selected__info-technique\"},[_vm._v(\" \"+_vm._s(_vm.$t('flow-starter.items.add-additional-files'))+\" \")])])])]),_c('template',{slot:\"content\"},[_c('cv-file-uploader',_vm._b({ref:\"fileUploader\",class:{ 'file-uploader--disabled': false },attrs:{\"label\":_vm.$t('section.actions.upload-files-label-required'),\"helper-text\":_vm.$t('section.actions.upload-artwork-desc-pdf'),\"removable\":true,\"multiple\":false,\"clear-on-reselect\":false,\"accept\":\".pdf\"},on:{\"click\":(e) => (e.target.value = ''),\"change\":(f) => _vm.handleAdditionalFiles(f)}},'cv-file-uploader',_vm.$attrs,false))],1)],2)],2)],1)\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","/**\n * Copyright IBM Corp. 2019, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nimport { c as createSVGComponent } from '../utils-9450cd75.js';\nimport '@carbon/icon-helpers';\nimport 'vue';\n\nconst Document32 = createSVGComponent('Document32', {\n  \"xmlns\": \"http://www.w3.org/2000/svg\",\n  \"viewBox\": \"0 0 32 32\",\n  \"fill\": \"currentColor\",\n  \"width\": 32,\n  \"height\": 32\n}, [{\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M25.7,9.3l-7-7C18.5,2.1,18.3,2,18,2H8C6.9,2,6,2.9,6,4v24c0,1.1,0.9,2,2,2h16c1.1,0,2-0.9,2-2V10C26,9.7,25.9,9.5,25.7,9.3\\tz M18,4.4l5.6,5.6H18V4.4z M24,28H8V4h8v6c0,1.1,0.9,2,2,2h6V28z\"\n  }\n}, {\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M10 22H22V24H10zM10 16H22V18H10z\"\n  }\n}]);\n\nexport { Document32 as default };\n","\r\nimport Vue, { PropType } from 'vue';\r\nimport { VFileUploaderFile, VFileUploader } from '@/components/w2pFileUploader';\r\nimport { supportedExtensions } from '@/constants/supportedExtensions';\r\nimport { ProductPrintPositionSetterType } from '@/setters/typings/common/ProductPrintPositionSetterType';\r\nimport { useStore as useProductStore } from '@/stores/product';\r\nimport { useStore as useLangStore } from '@/stores/lang';\r\nimport { mapState } from 'pinia';\r\nimport { LocaleMessage } from 'vue-i18n';\r\nimport {\r\n  CvAccordion,\r\n  CvAccordionItem,\r\n  CvFileUploader,\r\n  CvCheckbox,\r\n} from '@carbon/vue';\r\nimport Document32 from '@carbon/icons-vue/es/document/32';\r\nimport isValidProofApprovalContext from '@/validators/proofApprovalContextValidator';\r\nimport { UploadLogo } from '../../../upload-logo';\r\nimport { SelectedPrintPositionData } from '@/web-components/upload-logo/typings';\r\nimport { SupportedLangCodes } from '@/constants/languageCodes';\r\nimport isValidLanguageValidator from '@/validators/langLocaleValidator';\r\nimport { ArtworkPosition } from '@/components/w2pFileUploader/typings/Artwork';\r\nimport { ProductPrintVariant } from '@midocean/webapps-shared-domain';\r\nimport { validateFn } from '@/validators/basicFileValidator';\r\n\r\nexport default Vue.extend({\r\n  components: {\r\n    CvAccordion,\r\n    CvAccordionItem,\r\n    CvFileUploader,\r\n    CvCheckbox,\r\n    Document32,\r\n    UploadLogo,\r\n  },\r\n  inheritAttrs: false,\r\n  props: {\r\n    languageCode: {\r\n      type: String as PropType<SupportedLangCodes>,\r\n      required: false,\r\n      default: 'en',\r\n      validator: isValidLanguageValidator,\r\n    },\r\n    propPrintPositions: {\r\n      type: [] as PropType<ProductPrintPositionSetterType[]>,\r\n      default: [],\r\n    },\r\n    selectedPrintPosition: {\r\n      type: Object,\r\n      default: () => {\r\n        return {};\r\n      },\r\n    },\r\n    sapCustomerId: {\r\n      type: String,\r\n      required: true,\r\n    },\r\n    isSameLogoForAllPrintPositions: {\r\n      type: Boolean,\r\n      default: false,\r\n    },\r\n    masterProductSku: {\r\n      type: String,\r\n      required: true,\r\n    },\r\n    context: {\r\n      type: String as PropType<'Customer' | 'CustomerCare' | 'PrePress'>,\r\n      required: true,\r\n      validator: isValidProofApprovalContext,\r\n    },\r\n    selectedMethod: {\r\n      type: String,\r\n      required: true,\r\n    },\r\n    numberOfColorsPerPrintPosition: {\r\n      type: Array as PropType<{ positionId: string; numberOfColors: number }[]>,\r\n      default() {\r\n        return [];\r\n      },\r\n    },\r\n    customerCompanyLogoUrl: {\r\n      type: String,\r\n      required: false,\r\n      default: '',\r\n    },\r\n    tok: {\r\n      type: String,\r\n      required: true,\r\n    },\r\n    selectedPrintPositionData: {\r\n      type: Array as PropType<SelectedPrintPositionData[]>,\r\n      required: false,\r\n      default() {\r\n        return [];\r\n      },\r\n    },\r\n    productVariantColor: {\r\n      type: String,\r\n      required: false,\r\n      default: '',\r\n    },\r\n    artworkPositionMap: {\r\n      type: Array as PropType<ArtworkPosition[]>,\r\n      default() {\r\n        return [];\r\n      },\r\n    },\r\n  },\r\n\r\n  data() {\r\n    return {\r\n      /**\r\n       * Reference to CvFileUploader component\r\n       */\r\n      fileUploaderRef: null as unknown,\r\n      files: [] as unknown as VFileUploaderFile[],\r\n      supportedExtensions,\r\n      maxFileSize: 20,\r\n      end: 'end',\r\n      isSameLogo: false,\r\n      validateFn,\r\n    };\r\n  },\r\n\r\n  mounted() {\r\n    (this.fileUploaderRef as VFileUploader) = this.$refs\r\n      ?.fileUploader as VFileUploader;\r\n  },\r\n\r\n  computed: {\r\n    ...mapState(useProductStore, ['data', 'printPositions']),\r\n    ...mapState(useLangStore, ['languageInUse']),\r\n\r\n    isEmptyInternalFiles(): boolean {\r\n      return (\r\n        (this.fileUploaderRef as VFileUploader)?.internalFiles.length === 0\r\n      );\r\n    },\r\n\r\n    maximumColoursRepresentation(): string | LocaleMessage {\r\n      const position = this.data.productPrintPositions.find(\r\n        (p) => p.name === this.selectedPrintPosition.printPositionSAPCode\r\n      );\r\n      const technique = position?.printTechniques.find((technique) => {\r\n        return (\r\n          technique.printTechnique.code ===\r\n          this.selectedPrintPosition.printTechniqueSAPCode\r\n        );\r\n      });\r\n\r\n      return technique?.printTechnique?.isFullColor\r\n        ? `- ${this.$t('print-position.full-colour')}`\r\n        : `- ` +\r\n            this.$t(`print-position.max-colours`) +\r\n            `: ${technique?.maximumColours}`;\r\n    },\r\n    visiblePositions(): ProductPrintPositionSetterType[] {\r\n      if (!this.isSameLogoForAllPrintPositions) {\r\n        return this.propPrintPositions;\r\n      } else {\r\n        return this.propPrintPositions.filter(\r\n          (position) =>\r\n            this.artworkPositionMap.findIndex(\r\n              (art) => art.position === position.printPositionSAPCode\r\n            ) !== -1\r\n        );\r\n      }\r\n    },\r\n  },\r\n\r\n  methods: {\r\n    setState(idx: number, state = '') {\r\n      !this.isEmptyInternalFiles &&\r\n        (this.fileUploaderRef as VFileUploader).setState(idx, state);\r\n    },\r\n\r\n    //  * Wrapper around CvFileUploader internal method\r\n    //  */\r\n    setInvalidMessage(idx: number, msg: string) {\r\n      !this.isEmptyInternalFiles &&\r\n        (this.fileUploaderRef as VFileUploader).setInvalidMessage(idx, msg);\r\n    },\r\n\r\n    isCheckboxDisabled(position: string): boolean {\r\n      return (\r\n        this.artworkPositionMap.findIndex(\r\n          (art) => art.position === position\r\n        ) === -1\r\n      );\r\n    },\r\n    selectedVariantImageUrl(position: any): string | undefined {\r\n      const pp = this.data.productPrintPositions.find(\r\n        (p) => p.name === position.printPositionSAPCode\r\n      );\r\n      let selectedVariant = this.data.variants.find(\r\n        (varImg) => varImg.colour === this.productVariantColor\r\n      ) as ProductPrintVariant;\r\n      const variantImage = selectedVariant.images.find(\r\n        (img) => img.printPositionID === pp?.id\r\n      );\r\n      return variantImage?.imageThumbnailUrl || '';\r\n    },\r\n    handleSameLogo(position: string) {\r\n      this.$emit('same-logo', !this.isSameLogoForAllPrintPositions, position);\r\n      this.$emit('update:next-button');\r\n    },\r\n    handleAdditionalFiles(files: VFileUploaderFile[]) {\r\n      if (!files[0]) {\r\n        return;\r\n      }\r\n\r\n      files.forEach((file, index) => {\r\n        const { size, type } = file.file;\r\n        const validationObj = this.validateFn({\r\n          type: type || 'image/psd',\r\n          size,\r\n          maxFileSize: this.maxFileSize,\r\n          supportedExtensions: this.supportedExtensions,\r\n        });\r\n        const errorAny = Object.values(validationObj).some(\r\n          ({ valid }) => !valid\r\n        );\r\n\r\n        if (errorAny) {\r\n          let error = Object.values(validationObj).find(\r\n            ({ valid }: { valid: boolean }) => !valid\r\n          );\r\n\r\n          if (error?.errorMsg === 'invalid-file-size') {\r\n            this.setInvalidMessage(\r\n              index,\r\n              this.$tc(\r\n                `upload-logo.inline-notification.${error.errorMsg}`,\r\n                error.value,\r\n                { value: error.value }\r\n              ).toString()\r\n            );\r\n          }\r\n          if (error?.errorMsg === 'invalid-file-type') {\r\n            this.setInvalidMessage(\r\n              index,\r\n              this.$t(\r\n                `upload-logo.inline-notification.${error?.errorMsg}`\r\n              ).toString()\r\n            );\r\n          }\r\n\r\n          this.setState(index, '');\r\n          return;\r\n        } else {\r\n          if (files[0]) {\r\n            this.$emit('update:additional-files', files[0]);\r\n          } else {\r\n            this.$emit('update:additional-files', files);\r\n          }\r\n        }\r\n      });\r\n    },\r\n    techniqueNameTranslated(\r\n      printPositionSAPCode: string,\r\n      printTechniqueSAPCode: string\r\n    ): string {\r\n      const position = this.data.productPrintPositions.find(\r\n        (p) => p.name === printPositionSAPCode\r\n      );\r\n      const technique = position?.printTechniques.find((technique) => {\r\n        return technique.printTechnique.code === printTechniqueSAPCode;\r\n      });\r\n      const techniqueName = technique?.printTechnique.nameTranslations.find(\r\n        ({ language }) => language.code === this.languageInUse\r\n      )?.text;\r\n      return techniqueName || '';\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./FullDesign.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./FullDesign.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./FullDesign.vue?vue&type=template&id=54f66ff8\"\nimport script from \"./FullDesign.vue?vue&type=script&lang=ts\"\nexport * from \"./FullDesign.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./FullDesign.vue?vue&type=style&index=0&id=54f66ff8&prod&lang=scss\")\nif (style0.__inject__) style0.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  null,\n  null\n  ,true\n)\n\nexport default component.exports","\r\nimport StyleProvider from '@/StyleProvider.vue';\r\nimport TheApp from './TheApp.vue';\r\nimport Vue, { PropType } from 'vue';\r\nimport i18n from '@/i18n';\r\nimport isValidLanguageValidator from '@/validators/langLocaleValidator';\r\nimport { mapActions, mapState, PiniaVuePlugin } from 'pinia';\r\nimport { useStore as useLangStore } from '@/stores/lang';\r\nimport { FlowStep } from './typings/index';\r\nimport { FlowStarterHeader } from './components/Header';\r\nimport { FlowStarterProgressIndicator } from './components/ProgressIndicator';\r\nimport { FlowStarterFooter } from './components/Footer';\r\nimport { OrderOverview } from '../order-overview';\r\nimport { UploadLogo } from '../upload-logo';\r\nimport { MethodResult } from './typings/index';\r\nimport { priceDetails, pdpChoices } from '@/setters';\r\nimport { mapStores } from 'pinia';\r\nimport { pinia } from '@/pinia';\r\nimport { base64StringToBlob } from 'blob-util';\r\nimport customersAPI from '@/services/CustomersService';\r\nimport smallDetailsService from '@/services/SmallDetailsService';\r\nimport { Personalization } from '@midocean/webapps-shared-domain';\r\nimport { VFileUploaderFile } from '@/components/w2pFileUploader';\r\nimport {\r\n  FileUploadedPayload,\r\n  SelectedPrintPositionData,\r\n} from '../upload-logo/typings/index';\r\nimport { CustomersServiceError } from '../../services/interceptor-handlers/CustomersServiceErrorHandler';\r\nimport { ProductPrintPositionSetterType } from '@/setters/typings/common/ProductPrintPositionSetterType';\r\nimport {\r\n  useStore as useProductStore,\r\n  attachActionSubscriber as attachProductActionSubscriber,\r\n} from '@/stores/product';\r\nimport { useStore as useAuthStore } from '@/stores/auth';\r\nimport { ArtworkResult } from '@/components/w2pFileUploader';\r\nimport { ProductColorSetterType } from '@/setters/typings/common/ProductColorsSetterType';\r\nimport {\r\n  constructLogoOnlyNewPersonalizationForm,\r\n  constructFullDesignNewPersonalizationForm,\r\n} from '@/construct-methods';\r\nimport { SmallDetailsLogoOnly } from '@/components/SmallDetails';\r\n\r\nimport { SupportedLangCodes } from '../../constants/languageCodes';\r\nimport ToolsAlt20 from '@carbon/icons-vue/es/tools--alt/20';\r\nimport { DoSmallDetailsPart } from '@/constants/imageProcessingEngine';\r\nimport { WizardPayload } from '../logo-library/typings';\r\nimport { SmallDetailsPayload } from '@/typings/SmallDetails';\r\nimport { getUtcDateTime } from '@/utils/personalizationHelper';\r\nimport FullDesign from './components/FullDesignUploader/FullDesign.vue';\r\nimport { ArtworkPosition } from '@/components/w2pFileUploader/typings/Artwork';\r\nimport {\r\n  PrintTechnique,\r\n  SmallDetailsPrintPosition,\r\n  ProductPrintVariant,\r\n  ProductPrintData,\r\n  CreatePersonalizationForm,\r\n  SmallDetailsRepresentation,\r\n} from '@midocean/webapps-shared-domain';\r\n\r\nVue.use(PiniaVuePlugin);\r\n// Vue.use(VModal, {\r\n//   dynamic: true,\r\n//   injectModalsContainer: true,\r\n// });\r\n\r\nexport default Vue.extend({\r\n  components: {\r\n    StyleProvider,\r\n    TheApp,\r\n    FlowStarterHeader,\r\n    FlowStarterProgressIndicator,\r\n    FlowStarterFooter,\r\n    OrderOverview,\r\n    UploadLogo,\r\n    ToolsAlt20,\r\n    SmallDetailsLogoOnly,\r\n    FullDesign,\r\n  },\r\n\r\n  props: {\r\n    languageCode: {\r\n      type: String as PropType<SupportedLangCodes>,\r\n      required: false,\r\n      default: 'none',\r\n      validator: (value: string) => {\r\n        if (!isValidLanguageValidator(value)) {\r\n          console.error(\r\n            'Wrong value for the `lang` prop. ' + `Given: \"${value}\".`\r\n          );\r\n        }\r\n        return true;\r\n      },\r\n    },\r\n    personalizationId: {\r\n      type: String,\r\n      required: false,\r\n      default() {\r\n        return '';\r\n      },\r\n    },\r\n    priceDetails,\r\n    pdpChoices,\r\n    wizardOptions: {\r\n      type: Object,\r\n      required: true,\r\n      default() {\r\n        return {\r\n          showCurrentVersion: true,\r\n          showNextVersion: false,\r\n        };\r\n      },\r\n    },\r\n    sapCustomerId: {\r\n      type: String,\r\n      required: true,\r\n    },\r\n    tok: {\r\n      type: String,\r\n      required: true,\r\n    },\r\n    isFullDesignPathEnabled: {\r\n      type: Boolean,\r\n      default: false,\r\n    },\r\n    customerCompanyLogoUrl: {\r\n      type: String,\r\n      required: false,\r\n      default: '',\r\n    },\r\n    isFullDesignWithArtworksPathEnabled: {\r\n      type: Boolean,\r\n      default: false,\r\n    },\r\n  },\r\n\r\n  data() {\r\n    return {\r\n      headerTitle: '',\r\n      resourcesObtained: false,\r\n      flowStepsWithSmallDetails: [\r\n        {\r\n          name: 'select',\r\n          isCompleted: false,\r\n          isInvalid: false,\r\n        },\r\n        {\r\n          name: 'upload-logo',\r\n          isCompleted: false,\r\n          isInvalid: false,\r\n        },\r\n        {\r\n          name: 'small-details',\r\n          isCompleted: false,\r\n          isInvalid: false,\r\n        },\r\n        {\r\n          name: 'order-overview',\r\n          isCompleted: false,\r\n          isInvalid: false,\r\n        },\r\n      ] as FlowStep[],\r\n      flowStepsWithoutSmallDetails: [\r\n        {\r\n          name: 'select',\r\n          isCompleted: false,\r\n          isInvalid: false,\r\n        },\r\n        {\r\n          name: 'upload-logo',\r\n          isCompleted: false,\r\n          isInvalid: false,\r\n        },\r\n        {\r\n          name: 'order-overview',\r\n          isCompleted: false,\r\n          isInvalid: false,\r\n        },\r\n      ] as FlowStep[],\r\n      flowSteps: [] as FlowStep[],\r\n      isLogoOnlySelected: false,\r\n      isFullDesignSelected: false,\r\n      isSpinnerActive: false,\r\n      methodResults: {\r\n        logoOnly: {\r\n          methodName: 'logoOnly',\r\n          isSelected: false,\r\n          isInvalid: false,\r\n        },\r\n        personalise: {\r\n          methodName: 'personalise',\r\n          isSelected: false,\r\n          isInvalid: false,\r\n        },\r\n        personaliseNew: {\r\n          methodName: 'personaliseNew',\r\n          isSelected: false,\r\n          isInvalid: false,\r\n        },\r\n        fullDesign: {\r\n          methodName: 'fullDesign',\r\n          isSelected: false,\r\n          isInvalid: false,\r\n        },\r\n        fullDesignArtworks: {\r\n          methodName: 'fullDesignArtworks',\r\n          isSelected: false,\r\n          isInvalid: false,\r\n        },\r\n      } as MethodResult,\r\n      selectedMethod: this.wizardOptions.showCurrentVersion\r\n        ? 'Personalise'\r\n        : 'PersonaliseNew',\r\n      isMethodSelected: true,\r\n      currentStep: 'Select',\r\n      previousStepExists: false,\r\n      nextStepExists: true,\r\n      isFileValid: false,\r\n      isFileUploaded: false,\r\n      selectedStepIndex: 0,\r\n      selectedStepName: 'select',\r\n      showProgressIndicator: false,\r\n      validationPipelineResults: [] as any[],\r\n      newPersonalization: {} as Personalization,\r\n      isCreatePersonalizationSuccessful: false,\r\n      productPrintData: {} as ProductPrintData,\r\n      uploadedArtworks: [] as ArtworkResult[],\r\n      uploadedFileColors: '',\r\n      context: 'Customer',\r\n      errors: [] as CustomersServiceError[],\r\n      numberOfColorsPerPrintPosition: [] as {\r\n        positionId: string;\r\n        numberOfColors: number;\r\n      }[],\r\n      instructions: '',\r\n      numbeOfProcessedFiles: 0,\r\n      isAnalysisInProgress: false,\r\n      isDetailLost: false,\r\n      smallDetailsPrintPositions: [] as SmallDetailsPrintPosition[],\r\n      smallDetailsResults: [] as SmallDetailsPayload[],\r\n      smallDetailsResult: null as SmallDetailsPayload | null,\r\n      isUploading: false,\r\n      fullDesignMockup: {} as VFileUploaderFile,\r\n      artworkPositionMap: [] as ArtworkPosition[],\r\n      isSameLogoForAllPrintPositions: false,\r\n    };\r\n  },\r\n\r\n  computed: {\r\n    ...mapState(useLangStore, ['languageInUse']),\r\n    ...mapStores(useProductStore),\r\n    ...mapState(useAuthStore, ['isTokValid']),\r\n    isConfirmed(): boolean {\r\n      return this.smallDetailsResult?.approvedAt != null;\r\n    },\r\n    uploadedFileData(): any {\r\n      if (this.isSameLogoForAllPrintPositions) {\r\n        return this.pdpChoices.productPrintPositions.map(\r\n          (pos: ProductPrintPositionSetterType) => {\r\n            return {\r\n              ...this.uploadedArtworks[0],\r\n              position: pos?.printPositionSAPCode,\r\n            };\r\n          }\r\n        );\r\n      } else {\r\n        return this.uploadedArtworks.map((art) => {\r\n          const artPos = this.artworkPositionMap.find(\r\n            (pos) =>\r\n              pos.fileName === art.fileName && pos.position === art.position\r\n          );\r\n          return { ...art, position: artPos?.position };\r\n        });\r\n      }\r\n    },\r\n  },\r\n  watch: {\r\n    selectedStepIndex() {\r\n      this.stepManager();\r\n    },\r\n\r\n    smallDetailsResult() {\r\n      this.isDetailLost =\r\n        this.smallDetailsResult != null &&\r\n        (this.smallDetailsResult.status == 'Bad' ||\r\n          this.smallDetailsResult.status == 'Average');\r\n      this.flowSteps[2].isInvalid = this.isDetailLost;\r\n    },\r\n\r\n    isTokValid(newValue) {\r\n      if (!newValue) {\r\n        this.$emit('token-invalid-or-expired');\r\n      }\r\n    },\r\n    tok(newValue) {\r\n      if (newValue !== '') {\r\n        this.setTok(this.tok);\r\n        this.getTranslations();\r\n      }\r\n    },\r\n\r\n    async pdpChoices(newValue) {\r\n      try {\r\n        if (DoSmallDetailsPart && newValue !== undefined) {\r\n          this.getLimitations();\r\n        }\r\n      } catch (e: unknown) {\r\n        console.error((e as Error).message);\r\n      }\r\n\r\n      console.log('Flow starter pdp choices watcher(newValue): ', newValue);\r\n      console.log('Flow starter pdp choices watcher: ', this.pdpChoices);\r\n    },\r\n\r\n    async wizardOptions(newValue) {\r\n      console.log('Flow starter wizard options watcher(newValue): ', newValue);\r\n      console.log('Flow starter wizard options watcher: ', this.wizardOptions);\r\n    },\r\n  },\r\n\r\n  async mounted() {\r\n    attachProductActionSubscriber();\r\n\r\n    this.setSapCustomerId(this.sapCustomerId);\r\n    this.setTok(this.tok);\r\n\r\n    await this.getTranslations();\r\n    this.setLanguageLocale(this.languageCode);\r\n\r\n    // this.$modal.show('flow-starter-modal');\r\n\r\n    this.numberOfColorsPerPrintPosition =\r\n      this.pdpChoices.productPrintPositions.map((p: any) => {\r\n        return {\r\n          positionId: p.printPositionSAPCode,\r\n          numberOfColors: +p.numberOfColors,\r\n        };\r\n      });\r\n\r\n    this.flowSteps = this.flowStepsWithoutSmallDetails;\r\n    this.currentStep = 'select';\r\n    this.selectedStepName = 'select';\r\n    this.headerTitle = this.$t('flow-starter.header-title').toString();\r\n    if (DoSmallDetailsPart) {\r\n      this.getLimitations();\r\n    }\r\n\r\n    console.log('Flow starter pdp choices mounted: ', this.pdpChoices);\r\n  },\r\n  methods: {\r\n    ...mapActions(useLangStore, [\r\n      'setLanguageLocale',\r\n      'setDefaultTranslations',\r\n    ]),\r\n    ...mapActions(useAuthStore, ['setSapCustomerId', 'setTok']),\r\n    ...mapActions(useProductStore, ['getProduct']),\r\n    async getTranslations() {\r\n      await this.setDefaultTranslations();\r\n\r\n      if (\r\n        process.env.VUE_APP_USE_LOCAL_TRANSLATIONS === 'false' &&\r\n        this.languageCode !== 'en'\r\n      ) {\r\n        var translationsJson = await customersAPI.getTranslations(\r\n          this.languageCode\r\n        );\r\n        this.$i18n.setLocaleMessage(this.languageCode, translationsJson.data);\r\n      }\r\n      this.resourcesObtained = true;\r\n    },\r\n    additionalFilesUploaded(file: VFileUploaderFile) {\r\n      this.fullDesignMockup = file.file ? file : ({} as VFileUploaderFile);\r\n      this.updateNextButton();\r\n    },\r\n    removeUploadedFile(position: string) {\r\n      if (this.isSameLogoForAllPrintPositions)\r\n        this.isSameLogoForAllPrintPositions = false;\r\n      const artPos = this.artworkPositionMap.find(\r\n        (art: ArtworkPosition) => art.position === position\r\n      );\r\n      this.artworkPositionMap = this.artworkPositionMap.filter(\r\n        (art: ArtworkPosition) => artPos?.fileName !== art.fileName\r\n      );\r\n      this.uploadedArtworks = this.uploadedArtworks.filter(\r\n        (art) => art.fileName !== artPos?.fileName\r\n      );\r\n      this.updateNextButton();\r\n    },\r\n    updateNextButton() {\r\n      this.isFileUploaded =\r\n        (this.fullDesignMockup.file &&\r\n          this.uploadedArtworks.length ===\r\n            this.generateSelectedPrintPositionData().length) ||\r\n        (this.fullDesignMockup.file &&\r\n          this.uploadedArtworks.length > 0 &&\r\n          this.isSameLogoForAllPrintPositions);\r\n    },\r\n    closeModal() {\r\n      this.$emit('flow-starter:close-modal');\r\n    },\r\n    async getLimitations() {\r\n      if (\r\n        this.pdpChoices === undefined ||\r\n        this.pdpChoices.masterProductSKU === ''\r\n      ) {\r\n        return;\r\n      }\r\n\r\n      const productPrintData = await this.getProduct(\r\n        this.pdpChoices.masterProductSKU\r\n      );\r\n\r\n      const chosenPrintPositions =\r\n        productPrintData.productPrintPositions.filter((p) => {\r\n          const result = this.pdpChoices.productPrintPositions.find(\r\n            (x: ProductPrintPositionSetterType) =>\r\n              x.printPositionSAPCode === p.name\r\n          );\r\n\r\n          return result === undefined ? false : true;\r\n        });\r\n\r\n      const chosenPrintTechniques = chosenPrintPositions.map((p) => {\r\n        const result = this.pdpChoices.productPrintPositions.find(\r\n          (x: ProductPrintPositionSetterType) =>\r\n            x.printPositionSAPCode === p.name\r\n        );\r\n        const technique = p.printTechniques.find(\r\n          (t) =>\r\n            t.printTechnique.code === result.printTechniqueSAPCode &&\r\n            t.printTechnique.limitation\r\n        );\r\n\r\n        return technique === undefined\r\n          ? undefined\r\n          : ({\r\n              sapCode: p.name,\r\n              printArea: p.printArea,\r\n              negativeLimitMM:\r\n                technique.printTechnique.limitation.negativeLimitMM,\r\n              positiveLimitMM:\r\n                technique.printTechnique.limitation.positiveLimitMM,\r\n              originalImageDpi: p.originalImageDpi,\r\n              originalImageWebDpi: p.originalImageWebDpi,\r\n              originalImageWidthPx: p.originalImageWidthPx,\r\n              ignoreColors: technique.printTechnique.limitation.ignoreColors,\r\n            } as SmallDetailsPrintPosition);\r\n      });\r\n\r\n      chosenPrintTechniques.forEach(\r\n        (p: SmallDetailsPrintPosition | undefined) => {\r\n          if (p !== undefined) {\r\n            this.smallDetailsPrintPositions.push(p);\r\n          }\r\n        }\r\n      );\r\n    },\r\n    redirectToWizard() {\r\n      var wizardVersion = this.wizardOptions.showCurrentVersion ? 'V1' : 'V2';\r\n\r\n      if (this.isUploading) return;\r\n      if (this.uploadedArtworks.length > 0) {\r\n        const payload = this.uploadedArtworks.map((artwork) => {\r\n          return {\r\n            ...artwork,\r\n            id: artwork.personalizationArtworkId,\r\n            title: artwork.fileName,\r\n            fileName: artwork.fileName,\r\n            pngFileUrl: artwork.originalFileUrl,\r\n          };\r\n        });\r\n        this.$emit('redirect-to-wizard', {\r\n          logoOnlyArtwork: payload,\r\n          version: wizardVersion,\r\n          fullScreen: wizardVersion === 'V2',\r\n        });\r\n      } else {\r\n        this.$emit('redirect-to-wizard', {\r\n          version: wizardVersion,\r\n          fullScreen: wizardVersion === 'V2',\r\n        });\r\n      }\r\n    },\r\n    goToPreviousStep() {\r\n      if (this.selectedMethod === 'Full design artworks') {\r\n        this.uploadedArtworks = [];\r\n        this.isSameLogoForAllPrintPositions = false;\r\n        this.artworkPositionMap = [];\r\n      }\r\n      this.selectedStepIndex = this.selectedStepIndex - 1;\r\n\r\n      const previousStep = this.flowSteps[this.selectedStepIndex];\r\n\r\n      previousStep.isCompleted = false;\r\n\r\n      // Disabling Next button in case we go to the previous step, by setting that a file has not been chosen yet\r\n      if (this.selectedStepIndex === 1) {\r\n        this.isFileValid = false;\r\n        this.isFileUploaded = false;\r\n      }\r\n    },\r\n    goToNextStep() {\r\n      if (this.selectedMethod === 'Personalise') {\r\n        this.$emit('wizard:ordered');\r\n        this.$emit('wizard:open', {\r\n          version: 'V1',\r\n          fullScreen: false,\r\n        });\r\n        return;\r\n      }\r\n      if (this.selectedMethod === 'PersonaliseNew') {\r\n        this.$emit('wizard:open', {\r\n          version: 'V2',\r\n          fullScreen: true,\r\n        });\r\n        return;\r\n      }\r\n\r\n      if (\r\n        this.selectedMethod === 'Full design artworks' &&\r\n        this.isSameLogoForAllPrintPositions\r\n      ) {\r\n        this.uploadedArtworks = this.pdpChoices.productPrintPositions.map(\r\n          (pos: ProductPrintPositionSetterType) => {\r\n            return {\r\n              ...this.uploadedArtworks[0],\r\n              position: pos?.printPositionSAPCode,\r\n            };\r\n          }\r\n        );\r\n      }\r\n\r\n      this.selectedStepIndex = this.selectedStepIndex + 1;\r\n\r\n      const previousStep = this.flowSteps[this.selectedStepIndex - 1];\r\n\r\n      previousStep.isCompleted = true;\r\n      this.showProgressIndicator = true;\r\n\r\n      this.headerTitle = this.getMethodTranslation(\r\n        this.selectedMethod\r\n      ).toString();\r\n\r\n      // Disabling Next button for the Upload step, due to the if condition for disabling of the Next button\r\n      this.isMethodSelected = false;\r\n    },\r\n    getMethodTranslation(selectedMethod: string) {\r\n      if (selectedMethod === 'Logo only') {\r\n        return this.$t('flow-starter.methods.we-create-your-proof');\r\n      }\r\n      if (\r\n        selectedMethod === 'Full design' ||\r\n        selectedMethod === 'Full design artworks'\r\n      ) {\r\n        return this.$t('flow-starter.methods.full-design');\r\n      }\r\n      return selectedMethod;\r\n    },\r\n    stepManager() {\r\n      const stepToMoveTo = this.flowSteps[this.selectedStepIndex];\r\n\r\n      this.selectedStepName = stepToMoveTo.name;\r\n\r\n      // remove previous small detail results\r\n      if (this.selectedStepIndex === 1) {\r\n        this.smallDetailsResults = [];\r\n        this.smallDetailsResult = null;\r\n        this.isAnalysisInProgress = false;\r\n        this.flowSteps[2].isInvalid = false;\r\n      }\r\n\r\n      // check small details\r\n      if (\r\n        this.selectedStepIndex === 2 &&\r\n        this.isLogoOnlySelected &&\r\n        this.smallDetailsPrintPositions.length > 0 &&\r\n        this.smallDetailsResults.length === 0\r\n      ) {\r\n        this.checkSmallDetails();\r\n      }\r\n\r\n      if (this.selectedStepIndex === 0) {\r\n        this.previousStepExists = false;\r\n        this.isMethodSelected = false;\r\n        this.showProgressIndicator = false;\r\n\r\n        this.headerTitle = this.$t('flow-starter.header-title').toString();\r\n      } else {\r\n        this.previousStepExists = true;\r\n      }\r\n\r\n      if (this.selectedStepIndex >= this.flowSteps.length - 1) {\r\n        this.nextStepExists = false;\r\n      } else {\r\n        this.nextStepExists = true;\r\n      }\r\n    },\r\n\r\n    async checkSmallDetails() {\r\n      this.isAnalysisInProgress = true;\r\n\r\n      // calculate width for every position\r\n      this.smallDetailsPrintPositions.forEach(\r\n        (position: SmallDetailsPrintPosition) => {\r\n          position.calculatedWidth = smallDetailsService.calculateArtworkSize(\r\n            this.uploadedArtworks[0] as unknown as WizardPayload,\r\n            position\r\n          );\r\n        }\r\n      );\r\n\r\n      // map artworks to print positions\r\n      this.pdpChoices.productPrintPositions.forEach(\r\n        (item: ProductPrintPositionSetterType, index: number) => {\r\n          var smallDetailsPrintPosition = this.smallDetailsPrintPositions.find(\r\n            (x) => x.sapCode === item.printPositionSAPCode\r\n          );\r\n          if (smallDetailsPrintPosition) {\r\n            smallDetailsPrintPosition.artworkId =\r\n              this.uploadedArtworks[index].personalizationArtworkId;\r\n            smallDetailsPrintPosition.file = base64StringToBlob(\r\n              this.uploadedArtworks[index].pngFile,\r\n              'image/png'\r\n            );\r\n            smallDetailsPrintPosition.ignoreColors =\r\n              smallDetailsPrintPosition.ignoreColors ||\r\n              Array.from(\r\n                new Set(\r\n                  this.uploadedArtworks[index].pmsColorsInPngFile.map(\r\n                    (obj) => obj.name\r\n                  )\r\n                )\r\n              ).length === 1;\r\n          }\r\n        }\r\n      );\r\n\r\n      this.smallDetailsResults = await smallDetailsService.analyzeSmallDetails(\r\n        this.smallDetailsPrintPositions.filter((p) => p.artworkId !== undefined)\r\n      );\r\n      if (this.smallDetailsResults.length > 0) {\r\n        this.smallDetailsResult = this.smallDetailsResults[0];\r\n      }\r\n\r\n      this.isAnalysisInProgress = false;\r\n    },\r\n\r\n    addToCart() {\r\n      this.isSpinnerActive = true;\r\n\r\n      // Check what personalization method was chosen and call the corresponding endpoint of the Customers API\r\n      if (this.selectedMethod === 'Logo only') {\r\n        // If the file is valid, then we will create a personalization with that file\r\n        if (this.isFileValid) {\r\n          this.createPersonalization(this.uploadedArtworks)\r\n            .then((newPersonalization) => {\r\n              // Mapped new personalizationId returned from the backend to the this.newPersonalization data attribute that will be emitted back to PDP\r\n              if (newPersonalization.data.id !== '') {\r\n                this.isCreatePersonalizationSuccessful = true;\r\n                this.newPersonalization = newPersonalization.data;\r\n              }\r\n\r\n              // Emit success event back to Fenego\r\n              this.emitPersonalizationId();\r\n            })\r\n            .catch((error: CustomersServiceError) => {\r\n              console.log(error);\r\n              // Assign the adapted error into the error array\r\n              this.errors = [error];\r\n\r\n              // Stop the spinner\r\n              this.isSpinnerActive = false;\r\n\r\n              // This will enable the Add to cart button immediately after the personalization creation process fails\r\n              this.isCreatePersonalizationSuccessful = false;\r\n            });\r\n        }\r\n      } else if (\r\n        this.selectedMethod === 'Full design' ||\r\n        this.selectedMethod === 'Full design artworks'\r\n      ) {\r\n        this.createPersonalizationFullDesign(this.uploadedArtworks)\r\n          .then((newFullDesignPersonalization) => {\r\n            // Mapped new personalizationId returned from the backend to the this.newPersonalization data attribute that will be emitted back to PDP\r\n            if (newFullDesignPersonalization.data.id !== '') {\r\n              this.isCreatePersonalizationSuccessful = true;\r\n              this.newPersonalization = newFullDesignPersonalization.data;\r\n            }\r\n\r\n            //Emit success event back to Fenego\r\n            this.emitPersonalizationId();\r\n          })\r\n          .catch((error: CustomersServiceError) => {\r\n            // Assign the adapted error into the error array\r\n            this.errors = [error];\r\n\r\n            // Stop the spinner\r\n            this.isSpinnerActive = false;\r\n\r\n            // This will enable the Add to cart button immediately after the personalization creation process fails\r\n            this.isCreatePersonalizationSuccessful = false;\r\n          });\r\n      }\r\n    },\r\n    emitPersonalizationId() {\r\n      if (this.isCreatePersonalizationSuccessful) {\r\n        // Determine what event to send back to Fenego by comparing what path was selected\r\n        const eventName: string =\r\n          this.selectedMethod === 'Logo only'\r\n            ? 'customer-with-logo:ordered'\r\n            : 'customer-with-fulldesign:ordered';\r\n\r\n        // Emits the event back to Fenego\r\n        this.$emit(eventName, {\r\n          personalizationId: this.newPersonalization.id,\r\n        });\r\n      }\r\n    },\r\n    updateSelectedMethod(selectedMethod: string) {\r\n      this.selectedMethod = selectedMethod;\r\n\r\n      // hide/show small details step\r\n      this.flowSteps =\r\n        this.selectedMethod === 'Logo only' &&\r\n        this.smallDetailsPrintPositions.length > 0\r\n          ? this.flowStepsWithSmallDetails\r\n          : this.flowStepsWithoutSmallDetails;\r\n\r\n      if (this.selectedMethod !== 'Select personalise method') {\r\n        this.isMethodSelected = true;\r\n\r\n        if (this.selectedMethod === 'Logo only') {\r\n          this.isLogoOnlySelected = true;\r\n          this.isFullDesignSelected = false;\r\n\r\n          // This will change the progress indicator step to Upload file instead of Upload logo\r\n          this.flowSteps[1].name = 'upload-logo';\r\n        }\r\n\r\n        if (\r\n          this.selectedMethod === 'Full design' ||\r\n          this.selectedMethod === 'Full design artworks'\r\n        ) {\r\n          this.isFullDesignSelected = true;\r\n          this.isLogoOnlySelected = false;\r\n\r\n          // This will change the progress indicator step to Upload file instead of Upload logo\r\n          this.flowSteps[1].name = 'upload-file';\r\n        }\r\n\r\n        this.nextStepExists = true;\r\n\r\n        return;\r\n      }\r\n\r\n      this.isMethodSelected = false;\r\n      this.nextStepExists = true;\r\n      this.showProgressIndicator = false;\r\n    },\r\n\r\n    fileUploadedSuccessfully(fileUploadedPayload: FileUploadedPayload) {\r\n      // if upload was cancelled, there won't be artworks\r\n      if (fileUploadedPayload.uploadedArtworks.length === 0) {\r\n        return;\r\n      }\r\n      this.numbeOfProcessedFiles = this.numbeOfProcessedFiles + 1;\r\n      if (\r\n        this.generateSelectedPrintPositionData().length ===\r\n        this.numbeOfProcessedFiles\r\n      ) {\r\n        this.isFileUploaded = true;\r\n        this.numbeOfProcessedFiles = 0;\r\n      }\r\n      this.artworkPositionMap.push({\r\n        fileName: fileUploadedPayload.uploadedArtworks[0].fileName,\r\n        position: fileUploadedPayload.position,\r\n      } as ArtworkPosition);\r\n      if (\r\n        this.isFullDesignWithArtworksPathEnabled &&\r\n        this.isFullDesignSelected\r\n      ) {\r\n        this.uploadedArtworks = [\r\n          ...this.uploadedArtworks,\r\n          ...fileUploadedPayload.uploadedArtworks,\r\n        ];\r\n      } else {\r\n        this.uploadedArtworks = fileUploadedPayload.uploadedArtworks;\r\n      }\r\n      this.productPrintData = fileUploadedPayload.productPrintData;\r\n      this.isFileValid = fileUploadedPayload.isFileValid;\r\n      this.validationPipelineResults =\r\n        fileUploadedPayload.validationPipelineResults;\r\n      if (\r\n        this.isFullDesignWithArtworksPathEnabled &&\r\n        this.isFullDesignSelected\r\n      ) {\r\n        this.updateNextButton();\r\n      }\r\n    },\r\n\r\n    prepareProductVariants() {\r\n      return this.pdpChoices.productVariants.map(\r\n        (v: ProductColorSetterType) => {\r\n          return {\r\n            productName: v.productName,\r\n            variantColor: v.variantColor,\r\n            variantColorName: v.variantColorName,\r\n            colorHex: v.colorHex,\r\n            quantity: v.quantity,\r\n          };\r\n        }\r\n      );\r\n    },\r\n\r\n    constructCreatePersonalizationJSON(\r\n      uploadedArtworks: ArtworkResult[]\r\n    ): CreatePersonalizationForm {\r\n      const chosenPrintPositions =\r\n        this.productPrintData.productPrintPositions.filter((p) => {\r\n          const result = this.pdpChoices.productPrintPositions.find(\r\n            (x: ProductPrintPositionSetterType) =>\r\n              x.printPositionSAPCode === p.name\r\n          );\r\n\r\n          return result === undefined ? false : true;\r\n        });\r\n\r\n      let colorsFromPdpPerPrintPosition = new Map<string, number>();\r\n      this.pdpChoices.productPrintPositions.forEach((position: any) => {\r\n        colorsFromPdpPerPrintPosition.set(\r\n          position.printPositionSAPCode as string,\r\n          position.numberOfColors as number\r\n        );\r\n      });\r\n\r\n      let chosenPrintTechniques = new Map<string, PrintTechnique>();\r\n\r\n      chosenPrintPositions.forEach((position) => {\r\n        const result = this.pdpChoices.productPrintPositions.find(\r\n          (x: ProductPrintPositionSetterType) =>\r\n            x.printPositionSAPCode === position.name\r\n        );\r\n        const technique = position.printTechniques.find(\r\n          (t) => t.printTechnique.code === result.printTechniqueSAPCode\r\n        );\r\n\r\n        if (technique) {\r\n          chosenPrintTechniques.set(position.name, technique);\r\n        }\r\n      });\r\n\r\n      const approvedAt =\r\n        this.smallDetailsResult != null &&\r\n        this.smallDetailsResult.approvedAt != null\r\n          ? getUtcDateTime(this.smallDetailsResult.approvedAt)\r\n          : null;\r\n\r\n      const positionArtworkMap: {\r\n        printPositionSAPCode: string;\r\n        artworkId: string;\r\n        width: number;\r\n        height: number;\r\n        smallDetails: SmallDetailsRepresentation;\r\n      }[] = this.pdpChoices.productPrintPositions.map(\r\n        (p: ProductPrintPositionSetterType, i: number) => {\r\n          const smallDetailsResult = this.smallDetailsResults.find(\r\n            (x) => x.id === uploadedArtworks[i].personalizationArtworkId\r\n          );\r\n\r\n          return {\r\n            printPositionSAPCode: p.printPositionSAPCode,\r\n            artworkId: uploadedArtworks[i].personalizationArtworkId,\r\n            width: p.width,\r\n            height: p.height,\r\n            smallDetails:\r\n              DoSmallDetailsPart &&\r\n              smallDetailsResult &&\r\n              smallDetailsResult.status !== 'NoCheck'\r\n                ? {\r\n                    positiveLoss: smallDetailsResult.positiveDetailsLoss,\r\n                    negativeLoss: smallDetailsResult.negativeDetailsLoss,\r\n                    status: smallDetailsResult.status,\r\n                    calculatedQuality: smallDetailsResult.calculatedQuality,\r\n                    approvedAt: approvedAt,\r\n                  }\r\n                : null,\r\n          };\r\n        }\r\n      );\r\n\r\n      const { variants } = this.productPrintData;\r\n      const matchedVariants: ProductPrintVariant[] =\r\n        this.pdpChoices.productVariants.map((pdp: ProductColorSetterType) => {\r\n          return variants.find(\r\n            (variant) => variant.colour === pdp.variantColor\r\n          );\r\n        });\r\n\r\n      const variantsByPositions = matchedVariants.map((variant) => {\r\n        return {\r\n          variantColor: variant.colour,\r\n          imageUrl: variant.images.filter((x) => {\r\n            return chosenPrintPositions.find(\r\n              (up) => up.id === x.printPositionID\r\n            );\r\n          }),\r\n        };\r\n      });\r\n\r\n      // Prepare data for request payload\r\n      const productVariantsData = this.prepareProductVariants();\r\n\r\n      if (\r\n        this.selectedMethod === 'Full design' ||\r\n        this.selectedMethod === 'Full design artworks'\r\n      ) {\r\n        return constructFullDesignNewPersonalizationForm(\r\n          this.languageCode,\r\n          this.sapCustomerId,\r\n          this.pdpChoices.masterProductSKU,\r\n          this.uploadedArtworks,\r\n          this.productPrintData,\r\n          chosenPrintPositions,\r\n          chosenPrintTechniques,\r\n          productVariantsData,\r\n          variantsByPositions,\r\n          positionArtworkMap,\r\n          false,\r\n          this.instructions,\r\n          colorsFromPdpPerPrintPosition,\r\n          this.isFullDesignWithArtworksPathEnabled,\r\n          this.isSameLogoForAllPrintPositions\r\n        );\r\n      } else {\r\n        return constructLogoOnlyNewPersonalizationForm(\r\n          this.languageCode,\r\n          this.sapCustomerId,\r\n          this.pdpChoices.masterProductSKU,\r\n          this.uploadedArtworks,\r\n          this.productPrintData,\r\n          chosenPrintPositions,\r\n          chosenPrintTechniques,\r\n          productVariantsData,\r\n          variantsByPositions,\r\n          positionArtworkMap,\r\n          false,\r\n          this.instructions,\r\n          colorsFromPdpPerPrintPosition,\r\n          '',\r\n          '',\r\n          this.customerCompanyLogoUrl\r\n        );\r\n      }\r\n    },\r\n\r\n    async createPersonalization(uploadedArtworks: ArtworkResult[]) {\r\n      // This will disable the Add to cart button immediately after clicking it\r\n      this.isCreatePersonalizationSuccessful = true;\r\n\r\n      // Generate array of files that are uploaded to each individual print position\r\n      const filesArray = uploadedArtworks.map((a) => {\r\n        return {\r\n          file: base64StringToBlob(a.pngFile, 'image/png'),\r\n        } as VFileUploaderFile;\r\n      });\r\n\r\n      const smallDetailsFilesArray = uploadedArtworks.map((a) => {\r\n        return {\r\n          file: new File(\r\n            [base64StringToBlob(a.pngFile, 'image/png')],\r\n            a.personalizationArtworkId\r\n          ),\r\n        } as VFileUploaderFile;\r\n      });\r\n\r\n      this.generateColorInstructions();\r\n\r\n      // Generate NewPersonalizationForm JSON\r\n      const newPersonalizationForm =\r\n        this.constructCreatePersonalizationJSON(uploadedArtworks);\r\n\r\n      // Creates new personalization with the file you uploaded from the logo only flow\r\n      return customersAPI.createPersonalization(\r\n        uploadedArtworks,\r\n        filesArray,\r\n        smallDetailsFilesArray,\r\n        newPersonalizationForm\r\n      );\r\n    },\r\n\r\n    async createPersonalizationFullDesign(uploadedArtworks: ArtworkResult[]) {\r\n      // This will disable the Add to cart button immediately after clicking it\r\n      this.isCreatePersonalizationSuccessful = true;\r\n\r\n      // Construct NewPersonalizationForm JSON\r\n      const newPersonalizationForm =\r\n        this.constructCreatePersonalizationJSON(uploadedArtworks);\r\n\r\n      // Create new full design personalization with the file you uploaded from the full design flow\r\n      if (this.isFullDesignWithArtworksPathEnabled) {\r\n        return customersAPI.createFullDesignPersonalization(\r\n          this.fullDesignMockup,\r\n          newPersonalizationForm\r\n        );\r\n      } else {\r\n        return customersAPI.createFullDesignPersonalization(\r\n          {\r\n            file: base64StringToBlob(\r\n              uploadedArtworks[0].pngFile,\r\n              'application/pdf'\r\n            ),\r\n          } as VFileUploaderFile,\r\n          newPersonalizationForm\r\n        );\r\n      }\r\n    },\r\n\r\n    generateSelectedPrintPositionData() {\r\n      return this.pdpChoices.productPrintPositions.map(\r\n        (p: ProductPrintPositionSetterType) => {\r\n          return {\r\n            printPositionCode: p.printPositionSAPCode,\r\n            printTechniqueCode: p.printTechniqueSAPCode,\r\n          } as SelectedPrintPositionData;\r\n        }\r\n      );\r\n    },\r\n\r\n    generateColorInstructions() {\r\n      this.pdpChoices.productPrintPositions.forEach(\r\n        (p: ProductPrintPositionSetterType) => {\r\n          this.instructions = this.instructions.concat(\r\n            `${p.printPositionSAPCode} print position: ${p.numberOfColors} colours, `\r\n          );\r\n        }\r\n      );\r\n    },\r\n    handleSameLogo(sameLogo: boolean, position: string) {\r\n      this.isSameLogoForAllPrintPositions = sameLogo;\r\n      this.uploadedArtworks = this.uploadedArtworks.filter(\r\n        (pos) => pos.position === position\r\n      );\r\n      this.artworkPositionMap = this.artworkPositionMap.filter(\r\n        (pos) => pos.position === position\r\n      );\r\n    },\r\n  },\r\n\r\n  i18n,\r\n  pinia,\r\n});\r\n","import mod from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/ts-loader/index.js??ref--15-2!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./flow-starter.vue?vue&type=script&lang=ts&shadow\"; export default mod; export * from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/ts-loader/index.js??ref--15-2!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./flow-starter.vue?vue&type=script&lang=ts&shadow\"","import { render, staticRenderFns } from \"./flow-starter.vue?vue&type=template&id=46601372&shadow\"\nimport script from \"./flow-starter.vue?vue&type=script&lang=ts&shadow\"\nexport * from \"./flow-starter.vue?vue&type=script&lang=ts&shadow\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./flow-starter.vue?vue&type=style&index=0&id=46601372&prod&lang=scss&shadow\")\nif (style0.__inject__) style0.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  null,\n  null\n  ,true\n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('style-provider',[_c('the-app',{attrs:{\"version\":_vm.version,\"personalization-id\":_vm.personalizationId,\"sap-customer-id\":_vm.sapCustomerId,\"tok\":_vm.tok,\"price-details\":_vm.priceDetails,\"pdp-choices\":_vm.pdpChoices,\"print-positions\":_vm.printPositions,\"lang\":_vm.languageInUse,\"is-direct-approval\":_vm.isDirectApproval,\"is-first-time-opened\":_vm.isFirstTimeOpened,\"is-concept-disabled\":_vm.isConceptDisabled,\"customer-company-logo-url\":_vm.customerCompanyLogoUrl,\"is-order-disabled\":_vm.isOrderDisabled,\"logo-only-artwork\":_vm.logoOnlyArtwork,\"trigger-small-details\":_vm.triggerSmallDetailsCheck},on:{\"action:trigger-small-details\":function($event){_vm.triggerSmallDetailsCheck = false},\"wizard:price-params-changed\":(event) => _vm.emitEvent('wizard:price-params-changed', event),\"wizard:back\":() => _vm.emitEvent('wizard:back'),\"preview:pdf\":() => _vm.showPdfPreview()}}),(_vm.showPreview)?_c('preview-pdf',{attrs:{\"pdp-choices\":_vm.pdpChoices,\"sap-customer-id\":_vm.sapCustomerId,\"personalization-id\":_vm.personalizationId,\"customer-company-logo-url\":_vm.customerCompanyLogoUrl,\"is-direct-approval\":_vm.isDirectApproval},on:{\"close:preview-pdf\":() => _vm.closePreview(),\"action:trigger-small-details\":function($event){_vm.triggerSmallDetailsCheck = true}}}):_vm._e(),_c('whats-new'),_c('system-monitor')],1)\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('div',{staticClass:\"import-wizard\"},[_c('modal',{attrs:{\"name\":\"logo-library-modal\",\"width\":\"80%\",\"height\":\"auto\",\"adaptive\":true,\"click-to-close\":true,\"scrollable\":true},on:{\"before-close\":_vm.modalHandlers.beforeClose}},[_c('logo-library',{attrs:{\"sap-customer-id\":_vm.sapCustomerId,\"tok\":_vm.tok,\"env\":{ context: 'wizard' }},on:{\"logo-library:import\":_vm.onImportArtwork,\"logolib:close\":function($event){return _vm.$modal.hide('logo-library-modal')}}})],1),_c('cv-grid',{staticClass:\"main-grid__wrapper\",attrs:{\"kind\":\"condensed\"}},[_c('cv-row',{staticClass:\"main-row__wrapper\"},[_c('cv-loading',{staticClass:\"import-wizard__loader\",attrs:{\"active\":_vm.isLoaderActive,\"overlay\":\"\"}}),_c('cv-column',{staticClass:\"canvas\"},[_c('div',{staticClass:\"ruler_main\"},[_c('ruler',{attrs:{\"zoom-level\":_vm.zoomLevel,\"is-disabled\":_vm.isPinturaDisabled,\"is-vertical-ruler-displayed\":_vm.isVerticalRulerDisplayed,\"is-horizontal-ruler-displayed\":_vm.isHorizontalRulerDisplayed}})],1),_c('div',{staticClass:\"pintura_main\"},[_c('w2p-pintura',{attrs:{\"image-annotation\":_vm.productPositionAnnotationObject,\"image-decoration\":_vm.activePositionShapes,\"src\":_vm.pinturaPreviewImage,\"util\":_vm.util,\"is-disabled\":_vm.isPinturaDisabled},on:{\"update:imageAnnotation\":function($event){_vm.productPositionAnnotationObject=$event},\"update:image-annotation\":function($event){_vm.productPositionAnnotationObject=$event},\"load\":_vm.onProductImageLoaded,\"load-error\":_vm.onLoadError,\"update:image-decoration\":_vm.updateImageDecoration,\"add-to:image-decoration\":_vm.addToImageDecoration,\"update-shape\":_vm.updateShape,\"add-shape\":_vm.setActiveShapeId,\"select-shape\":_vm.setActiveShapeId,\"remove-shape\":_vm.removeShape,\"beforeupdate-shape\":_vm.beforeUpdateShape,\"beforeselect-shape\":_vm.beforeSelectShape,\"beforedeselect-shape\":_vm.beforeDeselectShape,\"bring-to-front\":_vm.bringToFront,\"modal:open\":_vm.openModal,\"action:change-color\":_vm.revalidateArtworks,\"action:zoom\":(level) => (_vm.zoomLevel = level),\"wizard:price-params-changed\":(event) => _vm.$emit('wizard:price-params-changed', event)},scopedSlots:_vm._u([{key:\"header\",fn:function(){return [_c('div',{staticClass:\"notification-container\"},[_c('w2p-portal-target',{attrs:{\"name\":\"notifications\",\"multiple\":\"\"}})],1),_c('div',{directives:[{name:\"show\",rawName:\"v-show\",value:(_vm.isBellClicked),expression:\"isBellClicked\"}],staticClass:\"notification-container\"},[_c('bell-notification-monitor',{attrs:{\"notifications\":_vm.notificationsForBell}})],1),_c('pintura-header',{attrs:{\"button-label\":_vm.$t('section.actions.back')},on:{\"wizard:back-button-click\":_vm.onBackButtonClick},scopedSlots:_vm._u([{key:\"title\",fn:function(){return [_c('span',{staticClass:\"title__sku\"},[_vm._v(_vm._s(_vm.$t('main.title.part-1', { productSKU: _vm.productName, })))]),_c('span',{staticClass:\"sep\"},[_vm._v(\"/\")]),_c('span',{staticClass:\"title__main\"},[_vm._v(_vm._s(_vm.$t('main.title.part-2')))])]},proxy:true},{key:\"header-global\",fn:function(){return [_c('cv-icon-button',{directives:[{name:\"on-clickaway\",rawName:\"v-on-clickaway\",value:(_vm.onBellClickAway),expression:\"onBellClickAway\"}],style:(_vm.isBellClicked\n                        ? { backgroundColor: '#e5e5e5' }\n                        : {\n                            backgroundColor: 'white',\n                            borderBottom: '1px solid #e5e5e5',\n                          }),attrs:{\"kind\":\"ghost\",\"label\":\"Notifications\",\"tip-position\":\"right\",\"tip-alignment\":\"start\"},on:{\"click\":_vm.clickedBell},scopedSlots:_vm._u([{key:\"icon\",fn:function(){return [_c('div',[_c('div',{attrs:{\"id\":\"notifications\"}},[(_vm.redWarrnings)?[_c('span',{staticClass:\"dot\"})]:_vm._e(),_c('notification-20')],2)])]},proxy:true}])})]},proxy:true}])})]},proxy:true},{key:\"toolbar\",fn:function({ tools, activeInteractionMode }){return [_c('custom-toolset',{attrs:{\"toolset\":tools,\"active-interaction-mode\":activeInteractionMode,\"is-disabled\":_vm.isPinturaDisabled}})]}}])}),_c('div',{staticClass:\"switch-color\"},[_c('switch-color',{attrs:{\"product-variants\":_vm.isEditMode\n                  ? _vm.personalization.productVariants\n                  : _vm.pdpChoices.productVariants}}),(_vm.DoSmallDetailsPart && _vm.isManualCheckVisible)?_c('manual-check',{attrs:{\"trigger-small-details-check\":_vm.triggerSmallDetailsCheck,\"is-concept\":_vm.isConcept},on:{\"modal:open\":_vm.openModal,\"action:reset-flag\":_vm.resetFlag,\"action:disable-pintura\":function($event){_vm.isPinturaExplicitDisableFlag = true}}}):_vm._e(),_c('cv-button',{staticClass:\"download-preview-button\",attrs:{\"id\":\"wizard-download-pdf-modal\",\"kind\":\"tertiary\",\"size\":\"small\",\"disabled\":_vm.isDisabledCom || _vm.isProcessingOrder},on:{\"click\":() => _vm.emitEvent()}},[_vm._v(\" \"+_vm._s(_vm.$t('section.actions.download-preview-pdf'))+\" \"),_c('generate-pdf-16',{staticClass:\"bx--btn__icon btn--size\"})],1)],1)],1)]),_c('cv-column',{staticClass:\"sidebar\"},[_c('div',{staticClass:\"pintura__sidebar\"},[_c('pintura-sidebar',{attrs:{\"pdp-choices-data\":_vm.pdpChoices,\"sap-customer-id\":_vm.sapCustomerId,\"tok\":_vm.tok},on:{\"pintura:disable\":function($event){_vm.isPinturaExplicitDisableFlag = true},\"wizard:price-params-changed\":(event) => _vm.emitParamsChanged(event),\"wizard:print-position-edit\":_vm.onEditPrintPosition,\"action:change-color\":_vm.revalidateArtworks,\"action:trigger-small-details\":function($event){_vm.triggerSmallDetailsCheck = true},\"action:update-is-concept\":(concept) => (_vm.isConcept = concept),\"action:print-techniques-see-more-details\":_vm.emitMoreDetails,\"print-position:action\":_vm.recalculateArtworkPosition,\"update-shape\":_vm.updateShape,\"ruler:show-horizontal\":(value) => (_vm.isHorizontalRulerDisplayed = value),\"ruler:show-vertical\":(value) => (_vm.isVerticalRulerDisplayed = value)}})],1)])],1)],1),_c('v-tour',{attrs:{\"id\":\"wizardTour\",\"name\":\"wizardTour\",\"steps\":_vm.steps,\"options\":_vm.myOptions,\"version\":_vm.version}}),_c('style',{tag:\"component\"},[_vm._v(\" .pintura-editor-panel { top: \"+_vm._s(_vm.pinturaEditorTop)+\" !important; } \")])],1)\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","/* eslint-disable no-undefined,no-param-reassign,no-shadow */\n\n/**\n * Throttle execution of a function. Especially useful for rate limiting\n * execution of handlers on events like resize and scroll.\n *\n * @param  {number}    delay -          A zero-or-greater delay in milliseconds. For event callbacks, values around 100 or 250 (or even higher) are most useful.\n * @param  {boolean}   [noTrailing] -   Optional, defaults to false. If noTrailing is true, callback will only execute every `delay` milliseconds while the\n *                                    throttled-function is being called. If noTrailing is false or unspecified, callback will be executed one final time\n *                                    after the last throttled-function call. (After the throttled-function has not been called for `delay` milliseconds,\n *                                    the internal counter is reset).\n * @param  {Function}  callback -       A function to be executed after delay milliseconds. The `this` context and all arguments are passed through, as-is,\n *                                    to `callback` when the throttled-function is executed.\n * @param  {boolean}   [debounceMode] - If `debounceMode` is true (at begin), schedule `clear` to execute after `delay` ms. If `debounceMode` is false (at end),\n *                                    schedule `callback` to execute after `delay` ms.\n *\n * @returns {Function}  A new, throttled, function.\n */\nfunction throttle (delay, noTrailing, callback, debounceMode) {\n  /*\n   * After wrapper has stopped being called, this timeout ensures that\n   * `callback` is executed at the proper times in `throttle` and `end`\n   * debounce modes.\n   */\n  var timeoutID;\n  var cancelled = false; // Keep track of the last time `callback` was executed.\n\n  var lastExec = 0; // Function to clear existing timeout\n\n  function clearExistingTimeout() {\n    if (timeoutID) {\n      clearTimeout(timeoutID);\n    }\n  } // Function to cancel next exec\n\n\n  function cancel() {\n    clearExistingTimeout();\n    cancelled = true;\n  } // `noTrailing` defaults to falsy.\n\n\n  if (typeof noTrailing !== 'boolean') {\n    debounceMode = callback;\n    callback = noTrailing;\n    noTrailing = undefined;\n  }\n  /*\n   * The `wrapper` function encapsulates all of the throttling / debouncing\n   * functionality and when executed will limit the rate at which `callback`\n   * is executed.\n   */\n\n\n  function wrapper() {\n    for (var _len = arguments.length, arguments_ = new Array(_len), _key = 0; _key < _len; _key++) {\n      arguments_[_key] = arguments[_key];\n    }\n\n    var self = this;\n    var elapsed = Date.now() - lastExec;\n\n    if (cancelled) {\n      return;\n    } // Execute `callback` and update the `lastExec` timestamp.\n\n\n    function exec() {\n      lastExec = Date.now();\n      callback.apply(self, arguments_);\n    }\n    /*\n     * If `debounceMode` is true (at begin) this is used to clear the flag\n     * to allow future `callback` executions.\n     */\n\n\n    function clear() {\n      timeoutID = undefined;\n    }\n\n    if (debounceMode && !timeoutID) {\n      /*\n       * Since `wrapper` is being called for the first time and\n       * `debounceMode` is true (at begin), execute `callback`.\n       */\n      exec();\n    }\n\n    clearExistingTimeout();\n\n    if (debounceMode === undefined && elapsed > delay) {\n      /*\n       * In throttle mode, if `delay` time has been exceeded, execute\n       * `callback`.\n       */\n      exec();\n    } else if (noTrailing !== true) {\n      /*\n       * In trailing throttle mode, since `delay` time has not been\n       * exceeded, schedule `callback` to execute `delay` ms after most\n       * recent execution.\n       *\n       * If `debounceMode` is true (at begin), schedule `clear` to execute\n       * after `delay` ms.\n       *\n       * If `debounceMode` is false (at end), schedule `callback` to\n       * execute after `delay` ms.\n       */\n      timeoutID = setTimeout(debounceMode ? clear : exec, debounceMode === undefined ? delay - elapsed : delay);\n    }\n  }\n\n  wrapper.cancel = cancel; // Return the wrapper function.\n\n  return wrapper;\n}\n\n/* eslint-disable no-undefined */\n/**\n * Debounce execution of a function. Debouncing, unlike throttling,\n * guarantees that a function is only executed a single time, either at the\n * very beginning of a series of calls, or at the very end.\n *\n * @param  {number}   delay -         A zero-or-greater delay in milliseconds. For event callbacks, values around 100 or 250 (or even higher) are most useful.\n * @param  {boolean}  [atBegin] -     Optional, defaults to false. If atBegin is false or unspecified, callback will only be executed `delay` milliseconds\n *                                  after the last debounced-function call. If atBegin is true, callback will be executed only at the first debounced-function call.\n *                                  (After the throttled-function has not been called for `delay` milliseconds, the internal counter is reset).\n * @param  {Function} callback -      A function to be executed after delay milliseconds. The `this` context and all arguments are passed through, as-is,\n *                                  to `callback` when the debounced-function is executed.\n *\n * @returns {Function} A new, debounced function.\n */\n\nfunction debounce (delay, atBegin, callback) {\n  return callback === undefined ? throttle(delay, atBegin, false) : throttle(delay, callback, atBegin !== false);\n}\n\nexport { debounce, throttle };\n//# sourceMappingURL=index.js.map\n","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('div',{staticClass:\"logo-library\"},[_c('div',[_c('error-notification',{staticClass:\"error-notification\",attrs:{\"is-visible\":_vm.isNotificationVisible,\"error\":_vm.errorMessage},on:{\"notification:closed\":function($event){_vm.isNotificationVisible = false}}}),_c('logo-library-header',{on:{\"modal:close\":function($event){return _vm.$emit('logolib:close')}}})],1),_c('cv-grid',{staticClass:\"bx--grid--no-gutter grid--background\",attrs:{\"full-width\":\"\"}},[_c('cv-row',{attrs:{\"kind\":\"condensed\"}},[_c('cv-column',{attrs:{\"sm\":4,\"md\":8,\"lg\":16,\"xlg\":16,\"max\":16}},[_c('div',{staticClass:\"cv-grid-story__preview-col\"},[_c('action-bar',{attrs:{\"tag-options\":_vm.tagOptions,\"selected-tags\":_vm.selectedTags},on:{\"sidebar:toggle\":function($event){_vm.activeDialog = 'UploadArtworkDialog'},\"update:search-term\":_vm.doSearch,\"clear\":_vm.doSearch,\"tag:change\":_vm.filterArtworksByTags}})],1)])],1),(_vm.artworksCollection.page && _vm.artworksCollection.page.length === 0)?_c('cv-row',{attrs:{\"kind\":\"condensed\"}},[_c('cv-column',{attrs:{\"sm\":4,\"md\":8,\"lg\":16,\"xlg\":16,\"max\":16}},[_c('div',{staticClass:\"cv-grid-story__preview-col cv-grid-story__center\"},[_vm._v(\" \"+_vm._s(_vm.$t('main.no-results'))+\" \")])])],1):_vm._e(),_c('cv-row',{ref:\"thumbnail-list\",staticClass:\"cv-grid-row__thumbnails\",attrs:{\"kind\":\"condensed\"}},[_c('cv-column',{attrs:{\"sm\":4,\"md\":8,\"lg\":16,\"xlg\":16,\"max\":16}},[_c('div',{staticClass:\"cv-grid-story__preview-col\"},[_c('image-thumbnails',{attrs:{\"items\":_vm.artworksCollection.page},model:{value:(_vm.selectedArtworkId),callback:function ($$v) {_vm.selectedArtworkId=$$v},expression:\"selectedArtworkId\"}})],1)])],1),_c('cv-row',{attrs:{\"kind\":\"condensed\"}},[_c('cv-column',{attrs:{\"sm\":4,\"md\":8,\"lg\":16,\"xlg\":16,\"max\":16}},[_c('div',{staticClass:\"cv-grid-story__preview-col\"},[(_vm.selectedArtworkId !== '')?_c('item-actions',_vm._b({attrs:{\"data-testid\":\"item-actions\",\"artwork-id\":_vm.selectedArtworkId},on:{\"action\":_vm.dispatchAction}},'item-actions',_vm.env,false)):_vm._e()],1)])],1),_c('cv-row',{attrs:{\"kind\":\"condensed\"}},[_c('cv-column',{attrs:{\"sm\":4,\"md\":8,\"lg\":16,\"xlg\":16,\"max\":16}},[_c('div',{staticClass:\"cv-grid-story__preview-col cv-grid-story__center loader\"},[(_vm.isLoading)?_c('cv-inline-loading',{attrs:{\"state\":\"loading\"}}):_vm._e()],1)])],1)],1),_c('upload-artwork-dialog',{attrs:{\"is-open\":_vm.activeDialog === 'UploadArtworkDialog',\"customer-id\":_vm.customerId,\"sap-customer-id\":_vm.sapCustomerId,\"reset-state\":!_vm.isSmallDetailsOpen,\"context\":_vm.env.context},on:{\"upload-sidebar:toggle\":function($event){_vm.activeDialog = ''},\"payload:ready\":_vm.onUploadReady,\"action\":_vm.dispatchAction}}),_c('edit-artwork-dialog',{attrs:{\"is-open\":_vm.activeDialog === 'EditArtworkDialog',\"tag-options\":_vm.tagOptions,\"artwork-id\":_vm.selectedArtworkId},on:{\"edit-sidebar:toggle\":function($event){_vm.activeDialog = ''},\"action\":_vm.dispatchAction}}),_c('cv-loading',{staticClass:\"deleteLoader\",attrs:{\"active\":_vm.isDeleting,\"overlay\":true}}),_c('small-details-loader',{attrs:{\"is-open\":_vm.showSmallDetailsLoader}}),(_vm.smallDetailsResult)?_c('small-details-one-logo',{attrs:{\"is-open\":_vm.isSmallDetailsOpen,\"data\":_vm.smallDetailsResult,\"file-name\":_vm.wizardPayload.fileName,\"png-file\":_vm.wizardPayload.pngFile},on:{\"action:back-to-library\":_vm.onBackToLibrary,\"action:upload-new-logo\":_vm.onUploadNewLogo,\"action:proceed-with-logo\":_vm.onProceedWithLogo}}):_vm._e(),_c('question-about-white',{on:{\"action:keep-white\":_vm.keepWhite,\"action:remove-white\":_vm.removeWhite}}),_c('question-about-white-replace',{on:{\"action:replace-white\":_vm.keepWhite,\"action:remove-white\":_vm.removeWhite}})],1)\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('cv-header',{staticClass:\"header\"},[_c('cv-header-name',{on:{\"click\":function($event){return _vm.$emit('modal:close')}}},[_c('ArrowLeft16')],1),_c('p',[_vm._v(_vm._s(_vm.$t('header.name')))])],1)\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","/**\n * Copyright IBM Corp. 2019, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nimport { c as createSVGComponent } from '../utils-9450cd75.js';\nimport '@carbon/icon-helpers';\nimport 'vue';\n\nconst ArrowLeft16 = createSVGComponent('ArrowLeft16', {\n  \"xmlns\": \"http://www.w3.org/2000/svg\",\n  \"viewBox\": \"0 0 16 16\",\n  \"fill\": \"currentColor\",\n  \"width\": 16,\n  \"height\": 16\n}, [{\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M6.7 12.3L2.9 8.5 15 8.5 15 7.5 2.9 7.5 6.7 3.7 6 3 1 8 6 13z\"\n  }\n}]);\n\nexport { ArrowLeft16 as default };\n","\r\nimport { CvHeader, CvHeaderName } from '@carbon/vue';\r\nimport ArrowLeft16 from '@carbon/icons-vue/es/arrow--left/16';\r\nimport Vue from 'vue';\r\n\r\nexport default Vue.extend({\r\n  components: {\r\n    CvHeader,\r\n    CvHeaderName,\r\n    ArrowLeft16,\r\n  },\r\n});\r\n","import mod from \"-!../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../node_modules/babel-loader/lib/index.js!../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./Header.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../node_modules/babel-loader/lib/index.js!../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./Header.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./Header.vue?vue&type=template&id=72c15752&scoped=true\"\nimport script from \"./Header.vue?vue&type=script&lang=ts\"\nexport * from \"./Header.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./Header.vue?vue&type=style&index=0&id=72c15752&prod&lang=scss&scoped=true\")\nif (style0.__inject__) style0.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  \"72c15752\",\n  null\n  ,true\n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('cv-row',{staticClass:\"app-bar\"},[_c('cv-column',{attrs:{\"sm\":1,\"md\":2,\"lg\":4,\"xlg\":4,\"max\":4}},[_c('div',{staticClass:\"cv-grid-story__preview-col\"},[_c('div',{staticClass:\"tag-filter-area\"},[_c('cv-multi-select',{attrs:{\"options\":_vm.selectOptions,\"value\":_vm.selectedTags,\"label\":_vm.$t('section.actions.filter-by-tags')},on:{\"change\":(e) => _vm.$emit('tag:change', e)}})],1)])]),_c('cv-column',{attrs:{\"sm\":2,\"md\":4,\"lg\":8,\"xlg\":8,\"max\":8}},[_c('div',{staticClass:\"cv-grid-story__preview-col\"},[_c('search-artworks',{on:{\"search\":(criteria) => _vm.$emit('update:search-term', criteria),\"clear\":(value) => _vm.$emit('clear', value)}})],1)]),_c('cv-column',{attrs:{\"sm\":1,\"md\":2,\"lg\":4,\"xlg\":4,\"max\":4}},[_c('div',{staticClass:\"cv-grid-story__preview-col cv-grid-story__flex-end\"},[_c('cv-button',{attrs:{\"data-testid\":\"upload-file\",\"size\":\"field\",\"kind\":\"tertiary\"},on:{\"click\":function($event){return _vm.$emit('sidebar:toggle')}}},[_c('span',[_vm._v(\" \"+_vm._s(_vm.$t('section.actions.upload-new-file'))+\" \")]),_c('upload-16',{staticClass:\"bx--btn__icon\"})],1)],1)])],1)\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","/**\n * Copyright IBM Corp. 2019, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nimport { c as createSVGComponent } from '../utils-9450cd75.js';\nimport '@carbon/icon-helpers';\nimport 'vue';\n\nconst Upload16 = createSVGComponent('Upload16', {\n  \"xmlns\": \"http://www.w3.org/2000/svg\",\n  \"viewBox\": \"0 0 16 16\",\n  \"fill\": \"currentColor\",\n  \"width\": 16,\n  \"height\": 16\n}, [{\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M3 9L3.7 9.7 7.5 5.9 7.5 15 8.5 15 8.5 5.9 12.3 9.7 13 9 8 4zM3 4V2h10v2h1V2c0-.6-.4-1-1-1H3C2.4 1 2 1.4 2 2v2H3z\"\n  }\n}]);\n\nexport { Upload16 as default };\n","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('div',{staticClass:\"search-area\"},[_c('cv-search',{staticClass:\"search-area__input\",attrs:{\"placeholder\":_vm.$t('section.actions.search-image-by-title'),\"size\":\"large\",\"value\":_vm.criteria},on:{\"input\":(value) => _vm.onInput(value.trim()),\"clear\":(value) => _vm.$emit('clear', value),\"keyup\":function($event){if(!$event.type.indexOf('key')&&_vm._k($event.keyCode,\"enter\",13,$event.key,\"Enter\"))return null;return _vm.$emit('search', _vm.criteria)}}}),_c('cv-button',{attrs:{\"kind\":\"primary\",\"size\":\"field\",\"disabled\":!_vm.criteria},on:{\"click\":function($event){$event.preventDefault();return _vm.$emit('search', _vm.criteria)}}},[_vm._v(_vm._s(_vm.$t('section.actions.search')))])],1)\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","\r\nimport Vue from 'vue';\r\nimport { CvSearch, CvButton } from '@carbon/vue';\r\n\r\nexport default Vue.extend({\r\n  components: {\r\n    CvSearch,\r\n    CvButton,\r\n  },\r\n  data() {\r\n    return {\r\n      criteria: '',\r\n    };\r\n  },\r\n  methods: {\r\n    onInput(criteria: string) {\r\n      if (!criteria && criteria !== this.criteria) {\r\n        this.$emit('search', criteria);\r\n      }\r\n      this.criteria = criteria;\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../node_modules/babel-loader/lib/index.js!../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./SearchArtworks.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../node_modules/babel-loader/lib/index.js!../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./SearchArtworks.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./SearchArtworks.vue?vue&type=template&id=798e296b&scoped=true\"\nimport script from \"./SearchArtworks.vue?vue&type=script&lang=ts\"\nexport * from \"./SearchArtworks.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./SearchArtworks.vue?vue&type=style&index=0&id=798e296b&prod&lang=scss&scoped=true\")\nif (style0.__inject__) style0.__inject__(context)\nvar style1 = require(\"./SearchArtworks.vue?vue&type=style&index=1&id=798e296b&prod&lang=scss\")\nif (style1.__inject__) style1.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  \"798e296b\",\n  null\n  ,true\n)\n\nexport default component.exports","\r\nimport Vue, { PropType } from 'vue';\r\nimport Upload16 from '@carbon/icons-vue/es/upload/16';\r\nimport { CvRow, CvColumn, CvButton, CvMultiSelect } from '@carbon/vue';\r\nimport { SearchArtworks } from '../SearchArtworks';\r\n\r\nexport default Vue.extend({\r\n  components: {\r\n    CvColumn,\r\n    CvRow,\r\n    CvButton,\r\n    Upload16,\r\n    SearchArtworks,\r\n    CvMultiSelect,\r\n  },\r\n  props: {\r\n    tagOptions: {\r\n      type: [] as PropType<string[]>,\r\n      required: true,\r\n    },\r\n    selectedTags: {\r\n      type: [] as PropType<string[]>,\r\n      required: true,\r\n    },\r\n  },\r\n  computed: {\r\n    selectOptions() {\r\n      return this.tagOptions.map((tagName) => ({\r\n        value: tagName,\r\n        label: tagName,\r\n        name: tagName,\r\n      }));\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../node_modules/babel-loader/lib/index.js!../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./ActionBar.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../node_modules/babel-loader/lib/index.js!../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./ActionBar.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./ActionBar.vue?vue&type=template&id=b2ad8d80\"\nimport script from \"./ActionBar.vue?vue&type=script&lang=ts\"\nexport * from \"./ActionBar.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./ActionBar.vue?vue&type=style&index=0&id=b2ad8d80&prod&lang=scss\")\nif (style0.__inject__) style0.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  null,\n  null\n  ,true\n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('cv-row',{staticClass:\"cv-row__margins\"},_vm._l((_vm.items),function(item,index){return _c('cv-column',{key:index,attrs:{\"sm\":2,\"md\":2,\"lg\":4,\"xlg\":4,\"max\":4}},[_c('div',{staticClass:\"cv-grid-story__preview-col cv-grid-story__preview-col--thumb\"},[_c('image-thumbnail',{attrs:{\"item\":item,\"selected-item-id\":_vm.selectedItemId},on:{\"item:select\":(id) =>\n            _vm.$emit('update:selected-item-id', id === _vm.selectedItemId ? '' : id)}})],1)])}),1)\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('div',{staticClass:\"card\",class:{ 'card-selected': _vm.isSelectedItem, 'card-pointer': _vm.isHovering },on:{\"click\":function($event){return _vm.$emit('item:select', _vm.item.id)},\"mouseover\":function($event){_vm.isHovering = true},\"mouseout\":function($event){_vm.isHovering = false}}},[_c('div',{staticClass:\"card__image card__image--checker-background\"},[_c('img',{attrs:{\"src\":_vm.item.thumbnailUrl}})]),_c('div',{staticClass:\"card__description\",class:{ 'card-hovering': _vm.isHovering && !_vm.isSelectedItem }},[_c('div',{staticClass:\"card__description-column1\",attrs:{\"data-testid\":\"item.id\"}},[_c('div',{staticClass:\"card__image-name\"},[_vm._v(_vm._s(_vm.item.title))]),_c('div',{staticClass:\"card__image-filename\"},[_vm._v(_vm._s(_vm.item.fileName))])]),_c('div',{directives:[{name:\"show\",rawName:\"v-show\",value:(_vm.isSelectedItem),expression:\"isSelectedItem\"}],staticClass:\"card__description-column2\"},[_c('CheckmarkFilled16')],1)])])\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","\r\nimport { SearchedArtwork } from '../typings';\r\nimport Vue, { PropType } from 'vue';\r\nimport CheckmarkFilled16 from '@carbon/icons-vue/es/checkmark--filled/16';\r\n\r\nexport default Vue.extend({\r\n  components: {\r\n    CheckmarkFilled16,\r\n  },\r\n  data() {\r\n    return {\r\n      isHovering: false,\r\n    };\r\n  },\r\n  props: {\r\n    item: {\r\n      type: Object as PropType<SearchedArtwork>,\r\n    },\r\n    selectedItemId: {\r\n      type: String,\r\n      default: '',\r\n    },\r\n  },\r\n  computed: {\r\n    isSelectedItem() {\r\n      return this.item.id.toString() === this.selectedItemId;\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../node_modules/babel-loader/lib/index.js!../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./ImageThumbnail.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../node_modules/babel-loader/lib/index.js!../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./ImageThumbnail.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./ImageThumbnail.vue?vue&type=template&id=07f9ae33&scoped=true\"\nimport script from \"./ImageThumbnail.vue?vue&type=script&lang=ts\"\nexport * from \"./ImageThumbnail.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./ImageThumbnail.vue?vue&type=style&index=0&id=07f9ae33&prod&lang=scss&scoped=true\")\nif (style0.__inject__) style0.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  \"07f9ae33\",\n  null\n  ,true\n)\n\nexport default component.exports","\r\nimport Vue, { PropType } from 'vue';\r\nimport ImageThumbnail from './ImageThumbnail.vue';\r\nimport { CvRow, CvColumn } from '@carbon/vue';\r\nimport { SearchedArtwork } from '../typings';\r\n\r\nexport default Vue.extend({\r\n  components: {\r\n    ImageThumbnail,\r\n    CvRow,\r\n    CvColumn,\r\n  },\r\n  model: {\r\n    prop: 'selectedItemId',\r\n    event: 'update:selected-item-id',\r\n  },\r\n  props: {\r\n    items: {\r\n      type: [] as PropType<SearchedArtwork[]>,\r\n      required: true,\r\n    },\r\n    selectedItemId: {\r\n      type: String,\r\n      default: '',\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../node_modules/babel-loader/lib/index.js!../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./ImageThumbnails.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../node_modules/babel-loader/lib/index.js!../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./ImageThumbnails.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./ImageThumbnails.vue?vue&type=template&id=7087dd10&scoped=true\"\nimport script from \"./ImageThumbnails.vue?vue&type=script&lang=ts\"\nexport * from \"./ImageThumbnails.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./ImageThumbnails.vue?vue&type=style&index=0&id=7087dd10&prod&lang=scss&scoped=true\")\nif (style0.__inject__) style0.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  \"7087dd10\",\n  null\n  ,true\n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return (_vm.isVisible)?_c('cv-toast-notification',{staticClass:\"notification-containter\",attrs:{\"kind\":\"error\",\"hide-close-button\":false,\"title\":_vm.error ? _vm.$t(_vm.error) : _vm.$t('notification-inline.cannot-connect-server'),\"sub-title\":_vm.error ? '' : _vm.$t('notification-inline.try-again')},on:{\"close\":function($event){return _vm.$emit('notification:closed', true)}}}):_vm._e()\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","\r\nimport Vue from 'vue';\r\nimport { CvToastNotification } from '@carbon/vue';\r\nexport default Vue.extend({\r\n  name: 'Header',\r\n  components: {\r\n    CvToastNotification,\r\n  },\r\n  props: {\r\n    /* Error prop would be used in the future for generic error messages */\r\n    error: {\r\n      type: String,\r\n      default: '',\r\n    },\r\n    isVisible: {\r\n      type: Boolean,\r\n      default: false,\r\n    },\r\n  },\r\n  data() {\r\n    return {\r\n      lowContrast: false,\r\n      hideCloseButton: true,\r\n    };\r\n  },\r\n});\r\n","import mod from \"-!../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../node_modules/babel-loader/lib/index.js!../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./ErrorNotification.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../node_modules/babel-loader/lib/index.js!../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./ErrorNotification.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./ErrorNotification.vue?vue&type=template&id=b8f49712&scoped=true\"\nimport script from \"./ErrorNotification.vue?vue&type=script&lang=ts\"\nexport * from \"./ErrorNotification.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./ErrorNotification.vue?vue&type=style&index=0&id=b8f49712&prod&lang=scss&scoped=true\")\nif (style0.__inject__) style0.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  \"b8f49712\",\n  null\n  ,true\n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('modal',{attrs:{\"name\":\"question-about-white\",\"width\":\"25%\",\"height\":\"auto\",\"adaptive\":true,\"click-to-close\":false}},[_c('cv-grid',{staticClass:\"small-detail-confirmation bx--grid--condensed\",attrs:{\"full-width\":\"\"}},[_c('cv-row',[_c('cv-column',{attrs:{\"sm\":4,\"md\":8,\"lg\":16,\"xlg\":16,\"max\":16}},[_c('div',{staticClass:\"cv-grid-story__preview-col\"},[_c('cv-row',[_c('cv-column',{attrs:{\"sm\":3,\"md\":6,\"lg\":14,\"xlg\":14,\"max\":14}},[_c('div',{staticClass:\"cv-grid-story__preview-col p-15\"},[_c('span',{staticClass:\"confirmation-title productive-heading-03-text-01-2\"},[_vm._v(_vm._s(_vm.$t('main.question-about-white-header'))+\" \")])])])],1)],1)])],1),_c('cv-row',[_c('cv-column',{attrs:{\"sm\":3,\"md\":6,\"lg\":14,\"xlg\":14,\"max\":14}},[_c('div',{staticClass:\"cv-grid-story__preview-col ml-15 mt-10\"},[_c('span',{staticClass:\"confirmation-desc body-long-01-text-01\"},[_vm._v(_vm._s(_vm.$t('main.question-about-white')))])])])],1),_c('cv-row',[_c('cv-column',{attrs:{\"sm\":4,\"md\":8,\"lg\":16,\"xlg\":16,\"max\":16}},[_c('div',{staticClass:\"cv-grid-story__preview-col mt-10\"},[_c('cv-button-set',[_c('cv-button',{attrs:{\"kind\":\"secondary\"},on:{\"click\":function($event){return _vm.$emit('action:remove-white')}}},[_vm._v(_vm._s(_vm.$t('main.remove-white')))]),_c('cv-button',{attrs:{\"kind\":\"primary\"},on:{\"click\":function($event){return _vm.$emit('action:keep-white')}}},[_vm._v(_vm._s(_vm.$t('main.keep-white')))])],1)],1)])],1)],1)],1)\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","\r\nimport Vue from 'vue';\r\nimport { CvGrid, CvRow, CvColumn, CvButton, CvButtonSet } from '@carbon/vue';\r\n\r\nexport default Vue.extend({\r\n  name: 'QuestionAboutWhite',\r\n  components: {\r\n    CvGrid,\r\n    CvRow,\r\n    CvColumn,\r\n    CvButton,\r\n    CvButtonSet,\r\n  },\r\n});\r\n","import mod from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/ts-loader/index.js??ref--15-2!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./QuestionAboutWhite.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/ts-loader/index.js??ref--15-2!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./QuestionAboutWhite.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./QuestionAboutWhite.vue?vue&type=template&id=04338b07&scoped=true\"\nimport script from \"./QuestionAboutWhite.vue?vue&type=script&lang=ts\"\nexport * from \"./QuestionAboutWhite.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./QuestionAboutWhite.vue?vue&type=style&index=0&id=04338b07&prod&scoped=true&lang=css\")\nif (style0.__inject__) style0.__inject__(context)\nvar style1 = require(\"./QuestionAboutWhite.vue?vue&type=style&index=1&id=04338b07&prod&lang=css\")\nif (style1.__inject__) style1.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  \"04338b07\",\n  null\n  ,true\n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('modal',{attrs:{\"name\":\"question-about-white-replace\",\"width\":\"25%\",\"height\":\"auto\",\"adaptive\":true,\"click-to-close\":false}},[_c('cv-grid',{staticClass:\"small-detail-confirmation bx--grid--condensed\",attrs:{\"full-width\":\"\"}},[_c('cv-row',[_c('cv-column',{attrs:{\"sm\":4,\"md\":8,\"lg\":16,\"xlg\":16,\"max\":16}},[_c('div',{staticClass:\"cv-grid-story__preview-col\"},[_c('cv-row',[_c('cv-column',{attrs:{\"sm\":3,\"md\":6,\"lg\":14,\"xlg\":14,\"max\":14}},[_c('div',{staticClass:\"cv-grid-story__preview-col p-15\"},[_c('span',{staticClass:\"confirmation-title productive-heading-03-text-01-2\"},[_vm._v(_vm._s(_vm.$t('main.question-about-white-header'))+\" \")])])])],1)],1)])],1),_c('cv-row',[_c('cv-column',{attrs:{\"sm\":3,\"md\":6,\"lg\":14,\"xlg\":14,\"max\":14}},[_c('div',{staticClass:\"cv-grid-story__preview-col ml-15 mt-10\"},[_c('span',{staticClass:\"confirmation-desc body-long-01-text-01\"},[_vm._v(_vm._s(_vm.$t('main.question-about-white-replace')))])])])],1),_c('cv-row',[_c('cv-column',{attrs:{\"sm\":4,\"md\":8,\"lg\":16,\"xlg\":16,\"max\":16}},[_c('div',{staticClass:\"cv-grid-story__preview-col mt-10\"},[_c('cv-button-set',[_c('cv-button',{attrs:{\"kind\":\"secondary\"},on:{\"click\":function($event){return _vm.$emit('action:remove-white')}}},[_vm._v(_vm._s(_vm.$t('main.remove-white')))]),_c('cv-button',{attrs:{\"kind\":\"primary\"},on:{\"click\":function($event){return _vm.$emit('action:replace-white')}}},[_vm._v(_vm._s(_vm.$t('main.replace-white')))])],1)],1)])],1)],1)],1)\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","\r\nimport Vue from 'vue';\r\nimport { CvGrid, CvRow, CvColumn, CvButton, CvButtonSet } from '@carbon/vue';\r\n\r\nexport default Vue.extend({\r\n  name: 'QuestionAboutWhiteReplace',\r\n  components: {\r\n    CvGrid,\r\n    CvRow,\r\n    CvColumn,\r\n    CvButton,\r\n    CvButtonSet,\r\n  },\r\n});\r\n","import mod from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/ts-loader/index.js??ref--15-2!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./QuestionAboutWhiteReplace.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/ts-loader/index.js??ref--15-2!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./QuestionAboutWhiteReplace.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./QuestionAboutWhiteReplace.vue?vue&type=template&id=792f7dd1&scoped=true\"\nimport script from \"./QuestionAboutWhiteReplace.vue?vue&type=script&lang=ts\"\nexport * from \"./QuestionAboutWhiteReplace.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./QuestionAboutWhiteReplace.vue?vue&type=style&index=0&id=792f7dd1&prod&scoped=true&lang=css\")\nif (style0.__inject__) style0.__inject__(context)\nvar style1 = require(\"./QuestionAboutWhiteReplace.vue?vue&type=style&index=1&id=792f7dd1&prod&lang=css\")\nif (style1.__inject__) style1.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  \"792f7dd1\",\n  null\n  ,true\n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('cv-row',[_c('cv-column',{attrs:{\"sm\":4,\"md\":8,\"lg\":16,\"xlg\":16,\"max\":16}},[_c('div',{staticClass:\"cv-grid-story__preview-col item-row\"},[_c('div',{staticClass:\"item-cancel\"},[(!_vm.isRemoveClicked)?_c('cv-link',{staticClass:\"item__padding item-actions__link item__link-pointer\",attrs:{\"data-testid\":\"item-cancel\"},on:{\"click\":function($event){return _vm.$emit('action', 'cancel')}}},[_vm._v(_vm._s(_vm.$t('section.actions.cancel')))]):_vm._e()],1),_c('div',{staticClass:\"item-actions\"},[_c('div',{staticClass:\"item-actions__flexend\"},[(!_vm.isRemoveClicked)?_c('cv-link',{staticClass:\"item__padding item__link-pointer\",attrs:{\"data-testid\":\"remove-file\"},on:{\"click\":function($event){_vm.isRemoveClicked = true}}},[_vm._v(_vm._s(_vm.$t('section.actions.remove-file')))]):[_c('div',{staticClass:\"item-actions__msg\"},[_vm._v(\" \"+_vm._s(_vm.$t('notification-inline.remove-confirmation'))+\" \")]),_c('cv-link',{staticClass:\"item-actions__link item__link-pointer\",attrs:{\"data-testid\":\"confirm-remove\"},on:{\"click\":function($event){return _vm.$emit('action', 'remove')}}},[_vm._v(_vm._s(_vm.$t('section.actions.yes-remove-file')))]),_c('cv-link',{staticClass:\"item-actions__link item-actions__cancel item__link-pointer\",attrs:{\"data-testid\":\"remove-cancel\"},on:{\"click\":function($event){_vm.isRemoveClicked = false}}},[_vm._v(_vm._s(_vm.$t('section.actions.cancel')))])],_c('cv-button',{staticClass:\"button\",attrs:{\"size\":\"lg\",\"kind\":\"secondary\",\"data-testid\":\"item-edit\"},on:{\"click\":function($event){return _vm.$emit('action', 'edit')}}},[_vm._v(_vm._s(_vm.$t('section.actions.edit')))]),(_vm.context !== 'myAccount')?_c('cv-button',{staticClass:\"button\",attrs:{\"size\":\"lg\",\"kind\":\"primary\",\"data-testid\":\"item-import\"},on:{\"click\":function($event){return _vm.$emit('action', 'import')}}},[_vm._v(_vm._s(_vm.$t('section.actions.import')))]):_vm._e()],2)])])])],1)\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","\r\nimport Vue from 'vue';\r\nimport { CvRow, CvColumn, CvButton, CvLink } from '@carbon/vue';\r\n\r\nexport default Vue.extend({\r\n  components: {\r\n    CvColumn,\r\n    CvRow,\r\n    CvButton,\r\n    CvLink,\r\n  },\r\n  props: {\r\n    context: {\r\n      type: String,\r\n      required: true,\r\n    },\r\n    artworkId: {\r\n      type: String,\r\n      default: '',\r\n    },\r\n  },\r\n  data() {\r\n    return {\r\n      isRemoveClicked: false,\r\n    };\r\n  },\r\n  watch: {\r\n    artworkId() {\r\n      this.isRemoveClicked = false;\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../node_modules/babel-loader/lib/index.js!../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./ItemActions.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../node_modules/babel-loader/lib/index.js!../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./ItemActions.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./ItemActions.vue?vue&type=template&id=be1d0792&scoped=true\"\nimport script from \"./ItemActions.vue?vue&type=script&lang=ts\"\nexport * from \"./ItemActions.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./ItemActions.vue?vue&type=style&index=0&id=be1d0792&prod&lang=scss&scoped=true\")\nif (style0.__inject__) style0.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  \"be1d0792\",\n  null\n  ,true\n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('div',[_c('error-notification',{staticClass:\"error-notification\",attrs:{\"is-visible\":_vm.isNotificationVisible,\"error\":_vm.errorMessage},on:{\"notification:closed\":function($event){_vm.isNotificationVisible = false}}}),_c('side-bar',{attrs:{\"is-open\":_vm.isOpen,\"data-testid\":\"side-bar\",\"caption\":_vm.$t('sidebar.upload-title')},on:{\"sidebar:toggle\":_vm.onCancel},scopedSlots:_vm._u([{key:\"actions\",fn:function(){return [_c('cv-button-set',[_c('cv-button',{staticClass:\"modal-btn\",attrs:{\"data-testid\":\"cancel-upload\",\"kind\":\"secondary\"},on:{\"click\":_vm.onCancel}},[_vm._v(_vm._s(_vm.$t('section.actions.cancel')))]),_c('cv-button',{staticClass:\"modal-btn\",attrs:{\"data-testid\":\"add-to-library\",\"kind\":\"primary\",\"disabled\":!_vm.actionBtnEnabled},on:{\"click\":_vm.onUploadClick}},[_vm._v(_vm._s(_vm.context === 'wizard' ? _vm.$t('section.actions.import') : _vm.$t('section.actions.add-to-library')))])],1)]},proxy:true}])},[_c('w2p-file-uploader',{attrs:{\"id\":'w2p-file-uploader',\"disabled\":!_vm.isFileUploaderEnabled,\"multiple\":false,\"removable\":true,\"label-text\":_vm.$t('sidebar.uplaod-text-label'),\"helper-text\":_vm.$t('sidebar.upload-instractions'),\"tab-index\":\"0\",\"api\":_vm.api,\"api-options\":{ lazy: true },\"upload-options\":_vm.uploadOptions,\"validate-fn\":_vm.validateFn,\"clear-on-reselect\":true,\"reset-state\":_vm.resetState},on:{\"change\":_vm.onChange,\"upload:ready\":_vm.onUploadReady,\"upload:validation-error\":_vm.onUploadError}}),(_vm.context === 'wizard')?_c('cv-checkbox',{staticClass:\"wizard-checkbox\",attrs:{\"id\":\"ll-add-to-library-checkbox\",\"label\":_vm.$t('sidebar.add-file-to-library'),\"value\":\"shouldSaveInLogoLibrary\",\"checked\":_vm.uploadOptions.shouldSaveInLogoLibrary},on:{\"change\":(willSave) => (_vm.uploadOptions.shouldSaveInLogoLibrary = willSave)}}):_vm._e()],1)],1)\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('div',{staticClass:\"slide\"},[(_vm.isOpen)?_c('div',{staticClass:\"sidebar-backdrop\",on:{\"click\":function($event){$event.preventDefault();return _vm.onClose.apply(null, arguments)}}}):_vm._e(),_c('transition',{attrs:{\"name\":\"slide\"}},[(_vm.isOpen)?_c('div',{staticClass:\"sidebar-panel\"},[_c('div',{staticClass:\"slidebar-panel__row\"},[_c('div',{staticClass:\"slidebar-panel__column\"},[_c('h4',[_vm._v(_vm._s(_vm.caption))])]),_c('div',{staticClass:\"slidebar-panel__column slidebar-panel__flex-end\"},[_c('cv-button',{attrs:{\"size\":\"small\",\"kind\":\"ghost\"},on:{\"click\":function($event){$event.preventDefault();return _vm.onClose.apply(null, arguments)}}},[_c('close-16',{staticClass:\"bx--btn__icon bx--btn__color\"})],1)],1)]),_c('main',[_vm._t(\"default\")],2),_c('footer',{staticClass:\"slidebar-panel__actions\"},[_vm._t(\"actions\")],2)]):_vm._e()])],1)\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","\r\nimport Vue from 'vue';\r\nimport { CvButton } from '@carbon/vue';\r\nimport Close16 from '@carbon/icons-vue/es/close/16';\r\n\r\nexport default Vue.extend({\r\n  components: {\r\n    Close16,\r\n    CvButton,\r\n  },\r\n  props: {\r\n    isOpen: {\r\n      type: Boolean,\r\n      required: true,\r\n    },\r\n    caption: {\r\n      type: String,\r\n      default: '',\r\n    },\r\n  },\r\n  methods: {\r\n    onClose: function () {\r\n      this.$emit('sidebar:toggle');\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../node_modules/babel-loader/lib/index.js!../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./SideBar.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../node_modules/babel-loader/lib/index.js!../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./SideBar.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./SideBar.vue?vue&type=template&id=7a1df78e\"\nimport script from \"./SideBar.vue?vue&type=script&lang=ts\"\nexport * from \"./SideBar.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./SideBar.vue?vue&type=style&index=0&id=7a1df78e&prod&lang=scss\")\nif (style0.__inject__) style0.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  null,\n  null\n  ,true\n)\n\nexport default component.exports","\r\nimport Vue from 'vue';\r\nimport { SideBar } from '../SideBar';\r\nimport { CvButtonSet, CvButton, CvCheckbox } from '@carbon/vue';\r\nimport {\r\n  Artwork,\r\n  ArtworkResult,\r\n  w2pFileUploader,\r\n} from '@/components/w2pFileUploader';\r\nimport FileService from '@/services/FileService';\r\nimport { validateFn } from '@/validators/basicFileValidator';\r\nimport { supportedExtensions } from '@/constants/supportedExtensions';\r\nimport { base64StringToBlob } from 'blob-util';\r\nimport { ErrorNotification } from '../../../libs/proof-approval/ErrorNotification';\r\n\r\nexport default Vue.extend({\r\n  components: {\r\n    CvButtonSet,\r\n    CvButton,\r\n    CvCheckbox,\r\n    SideBar,\r\n    w2pFileUploader,\r\n    ErrorNotification,\r\n  },\r\n  props: {\r\n    customerId: {\r\n      type: String,\r\n      required: true,\r\n    },\r\n    sapCustomerId: {\r\n      type: String,\r\n      required: true,\r\n    },\r\n    isOpen: {\r\n      type: Boolean,\r\n      default: false,\r\n    },\r\n    resetState: {\r\n      type: Boolean,\r\n      required: false,\r\n      default: false,\r\n    },\r\n    context: {\r\n      type: String,\r\n      required: true,\r\n    },\r\n  },\r\n  data() {\r\n    return {\r\n      supportedExtensions,\r\n      actionBtnEnabled: false,\r\n      api: FileService,\r\n      uploadFn: null as unknown as () => Promise<ArtworkResult[]>,\r\n      isFileUploaderEnabled: true,\r\n      validateFn,\r\n      errorMessage: '',\r\n      isNotificationVisible: false,\r\n    };\r\n  },\r\n  computed: {\r\n    uploadOptions(): Artwork {\r\n      return {\r\n        externalCustomerId: this.sapCustomerId,\r\n        customerId: this.customerId,\r\n        title: '',\r\n        shouldSaveInLogoLibrary: this.context === 'myAccount',\r\n        shouldSaveDraftForWizard: this.context === 'wizard',\r\n      } as Artwork;\r\n    },\r\n  },\r\n  watch: {\r\n    isOpen() {\r\n      if (!this.isOpen) this.resetFlags();\r\n    },\r\n\r\n    resetState() {\r\n      if (this.resetState) {\r\n        this.uploadOptions.shouldSaveInLogoLibrary = false;\r\n      }\r\n    },\r\n  },\r\n  methods: {\r\n    onChange(files: Artwork[]) {\r\n      this.actionBtnEnabled = files.length > 0;\r\n      this.isFileUploaderEnabled = files.length === 0;\r\n      return files.length === 0;\r\n    },\r\n    onUploadError() {\r\n      this.resetFlags();\r\n    },\r\n    onUploadReady({\r\n      files,\r\n      up,\r\n    }: {\r\n      files: Artwork[];\r\n      up: (files: Artwork[]) => Promise<ArtworkResult[]>;\r\n    }) {\r\n      this.uploadFn = () => up(files);\r\n    },\r\n    onUploadClick() {\r\n      this.actionBtnEnabled = false;\r\n      this.uploadFn()\r\n        .then((response) => {\r\n          if (this.context === 'myAccount') {\r\n            setTimeout(() => {\r\n              this.$emit('action', 'upload-success');\r\n            }, 1000);\r\n          }\r\n\r\n          if (this.context === 'wizard') {\r\n            const blob = base64StringToBlob(response[0].pngFile, 'image/png');\r\n            let payload = {\r\n              ...response[0],\r\n              id: response[0].personalizationArtworkId,\r\n              pngFile: blob,\r\n              pngFileUrl: URL.createObjectURL(blob),\r\n            };\r\n            this.$emit('payload:ready', payload);\r\n          }\r\n        })\r\n        .catch((error) => {\r\n          console.log(error);\r\n          if (error.response.status === 409) {\r\n            if (\r\n              error.response.data.error.message ===\r\n              'Provided PDF contains more than 10 pages, which is not allowed. Please provide PDF with less than 10 pages.'\r\n            ) {\r\n              this.errorMessage = this.$t(\r\n                'section.errors.mutlipage-pdf-exception'\r\n              ).toString();\r\n            } else if (\r\n              error.response.data.error.message ===\r\n              'W2P is unable to process provided artwork. Processing would require too much time. Please provide simplified version.'\r\n            ) {\r\n              this.errorMessage = this.$t(\r\n                'section.errors.timeout-exception'\r\n              ).toString();\r\n            } else if (\r\n              error.response.data.error.message ===\r\n              'W2P is unable to process provided artwork due to technical limitations. Please provide different artwork.'\r\n            ) {\r\n              this.errorMessage = this.$t(\r\n                'section.errors.image-magick'\r\n              ).toString();\r\n            } else if (\r\n              error.response.data.error.message ===\r\n              'W2P is unable to process provided artwork due to technical limitations. Please provide different artwork.'\r\n            ) {\r\n              this.errorMessage = this.$t(\r\n                'section.errors.ghost-script'\r\n              ).toString();\r\n            } else if (\r\n              error.response.data.error.message ===\r\n              'W2P is unable to process provided artwork due to technical limitations. Please provide different artwork.'\r\n            ) {\r\n              this.errorMessage = this.$t(\r\n                'section.errors.resolution-error'\r\n              ).toString();\r\n            } else if (\r\n              error.response.data.error.message ===\r\n              'W2P is unable to process provided artwork due to technical limitations. Please provide different artwork.'\r\n            ) {\r\n              this.errorMessage = this.$t(\r\n                'section.errors.argument-exception'\r\n              ).toString();\r\n            }\r\n            this.isNotificationVisible = true;\r\n          }\r\n        })\r\n        .finally(() => {\r\n          this.resetFlags();\r\n        });\r\n    },\r\n    onCancel() {\r\n      this.$emit('upload-sidebar:toggle', false);\r\n    },\r\n    resetFlags() {\r\n      this.actionBtnEnabled = false;\r\n      this.isFileUploaderEnabled = true;\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../node_modules/babel-loader/lib/index.js!../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./UploadArtworkDialog.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../node_modules/babel-loader/lib/index.js!../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./UploadArtworkDialog.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./UploadArtworkDialog.vue?vue&type=template&id=86760052&scoped=true\"\nimport script from \"./UploadArtworkDialog.vue?vue&type=script&lang=ts\"\nexport * from \"./UploadArtworkDialog.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./UploadArtworkDialog.vue?vue&type=style&index=0&id=86760052&prod&lang=scss&scoped=true\")\nif (style0.__inject__) style0.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  \"86760052\",\n  null\n  ,true\n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('side-bar',{attrs:{\"data-testid\":\"side-bar\",\"is-open\":_vm.isOpen,\"caption\":_vm.$t('sidebar.edit-title')},on:{\"sidebar:toggle\":function($event){return _vm.$emit('edit-sidebar:toggle')}},scopedSlots:_vm._u([{key:\"actions\",fn:function(){return [_c('cv-button-set',[_c('cv-button',{staticClass:\"btn\",attrs:{\"data-testid\":\"cancel-edit\",\"kind\":\"secondary\"},on:{\"click\":function($event){return _vm.$emit('edit-sidebar:toggle')}}},[_vm._v(_vm._s(_vm.$t('section.actions.cancel')))]),_c('cv-button',{staticClass:\"btn\",attrs:{\"data-testid\":\"save-edit\",\"kind\":\"primary\",\"disabled\":!_vm.isSaveEnabled},on:{\"click\":_vm.patchArtwork}},[_vm._v(_vm._s(_vm.$t('section.actions.save')))])],1)]},proxy:true}])},[_c('edit-artwork-form',{directives:[{name:\"show\",rawName:\"v-show\",value:(_vm.isShowingForm),expression:\"isShowingForm\"}],attrs:{\"tag-options\":_vm.tagOptions},on:{\"change\":_vm.onArtworkChanged},model:{value:(_vm.artwork),callback:function ($$v) {_vm.artwork=$$v},expression:\"artwork\"}}),_c('cv-loading',{staticClass:\"editLoader\",attrs:{\"active\":_vm.isLoading,\"overlay\":true},on:{\"loading-end\":function($event){_vm.isShowingForm = true}}})],1)\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('div',{staticClass:\"edit-form\"},[_c('cv-text-input',{attrs:{\"id\":\"ll-edit-title\",\"label\":_vm.$t('sidebar.label-title'),\"value\":_vm.artwork.title},on:{\"input\":(e) => _vm.updateValue('title', e)}},[(!_vm.isValid.title)?_c('template',{slot:\"invalid-message\"},[_vm._v(_vm._s(_vm.$t('sidebar.max-number-of-characters')))]):_vm._e()],2),_c('cv-text-input',{staticClass:\"edit-form__filename\",attrs:{\"label\":_vm.$t('sidebar.label-file-name'),\"value\":_vm.artwork.fileName,\"helper-text\":_vm.$t('sidebar.file-name-description'),\"disabled\":true}}),_c('cv-multi-select',{attrs:{\"id\":\"tags-dropdown\",\"options\":_vm.multiSelectOptionsFilteredBy,\"value\":_vm.multiSelectTags,\"auto-filter\":false,\"filterable\":true,\"label\":_vm.$tc('sidebar.tags', _vm.multiSelectTags.length, {\n        number: _vm.multiSelectTags.length,\n      }),\"title\":_vm.$t('sidebar.title')},on:{\"filter\":_vm.onFilter,\"change\":(tags) => {\n        _vm.updateValue(\n          'tags',\n          tags.map((tagName) => ({ name: tagName }))\n        );\n\n        if (tags.map((tag) => tag.includes('(NEW)'))) {\n          _vm.newTag = [];\n        }\n      }}})],1)\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","\r\nimport Vue, { PropType } from 'vue';\r\nimport { CvTextInput, CvMultiSelect } from '@carbon/vue';\r\nimport { ArtworkResultItem, CustomerTag, TagOption } from '../typings';\r\n\r\nexport default Vue.extend({\r\n  components: {\r\n    CvTextInput,\r\n    CvMultiSelect,\r\n  },\r\n  model: {\r\n    prop: 'artwork',\r\n    event: 'update:artwork',\r\n  },\r\n  props: {\r\n    artwork: {\r\n      type: Object as PropType<ArtworkResultItem>,\r\n      required: true,\r\n    },\r\n    tagOptions: {\r\n      type: [] as PropType<string[]>,\r\n      required: true,\r\n    },\r\n  },\r\n  data() {\r\n    return {\r\n      initialTitle: this.artwork.title,\r\n      initialTags: [] as CustomerTag[],\r\n      selectedTags: [] as string[],\r\n      selectOptions: [] as TagOption[],\r\n      initialSelectedTags: [] as CustomerTag[],\r\n      multiSelectTags: [] as string[],\r\n      multiSelectFilterValue: '',\r\n      newTag: [] as TagOption[],\r\n    };\r\n  },\r\n  computed: {\r\n    isDirty(): { title: boolean; tags: boolean } {\r\n      return {\r\n        title: this.artwork.title.trim() !== this.initialTitle.trim(),\r\n        tags: !this.tagsHaveSameValues,\r\n      };\r\n    },\r\n    multiSelectOptionsFilteredBy(): TagOption[] {\r\n      const optionsToFilter = [...this.selectOptions];\r\n      if (this.multiSelectFilterValue === '') {\r\n        return optionsToFilter;\r\n      }\r\n      const filteredOptions = optionsToFilter.filter((tag) =>\r\n        tag.name\r\n          .toLowerCase()\r\n          .includes(this.multiSelectFilterValue.toLowerCase())\r\n      );\r\n      if (filteredOptions.length > 0) {\r\n        return filteredOptions;\r\n      }\r\n\r\n      return [...this.selectOptions, ...this.newTag];\r\n    },\r\n    // DO NOT TOUCH WITHOUT CONSULTING, IF YOU CHANGE THIS I WILL KNOW!\r\n    tagsHaveSameValues(): boolean {\r\n      const isTagRemovedOrAdded =\r\n        this.artwork.tags.length != this.initialTags.length;\r\n\r\n      if (isTagRemovedOrAdded) {\r\n        return false;\r\n      } else {\r\n        return this.artwork.tags.every((tag) => {\r\n          return this.initialTags\r\n            ?.map((initialTag) => initialTag.name)\r\n            .includes(tag.name);\r\n        });\r\n      }\r\n    },\r\n    isValid(): { title: boolean } {\r\n      return { title: this.artwork.title?.length <= 255 };\r\n    },\r\n  },\r\n  watch: {\r\n    artwork(\r\n      newState: ArtworkResultItem,\r\n      oldState: ArtworkResultItem | undefined\r\n    ) {\r\n      // Checking if the artwork from the oldState is different from the artwork from the newState\r\n      // If so, this means that the initially selected tags have to be changed to the ones from the artwork coming from the newState\r\n      if (!oldState?.id || oldState.id !== newState.id) {\r\n        oldState = {} as ArtworkResultItem;\r\n\r\n        this.initialSelectedTags = newState.tags;\r\n        this.initialTags = [...newState.tags];\r\n        this.initialTitle = newState.title;\r\n      }\r\n\r\n      // Checking if the artwork from the oldState and newState is the same\r\n      // If so, this means that the initially selected tags have to be the old tags for that same artwork, so we assign the oldState tags\r\n      // If there are tags in the newState then that means that a tag has either been added or removed\r\n      if (newState.id === oldState.id && newState.tags.length > 0) {\r\n        this.initialSelectedTags = oldState?.tags as CustomerTag[];\r\n      }\r\n\r\n      // Checking if there are duplicates of tags in the newState and the selectOptions\r\n      let result = this.selectOptions.filter((o1) =>\r\n        newState.tags.some((o2) => o1.name === o2.name)\r\n      );\r\n\r\n      // If there are no duplicates in selectOptions and newState, then spread both arrays and create as one\r\n      if (result.length === 0) {\r\n        this.selectOptions = [\r\n          ...this.selectOptions,\r\n          ...newState.tags.map((tag) => ({\r\n            label: tag.name,\r\n            value: tag.name,\r\n            name: tag.name,\r\n          })),\r\n        ];\r\n      }\r\n\r\n      // If there are duplicates in selectOptions and newState, then filter selectOptions and create a new array which does not have duplicates\r\n      // Creating a new array out of the unique tags from selectOptions\r\n      var joinedNewStateAndSelectOptions = this.selectOptions.filter(\r\n        (tagFromSelectOptions) =>\r\n          !newState.tags.some(\r\n            (tagFromNewState) =>\r\n              tagFromNewState.name === tagFromSelectOptions.name\r\n          )\r\n      );\r\n\r\n      // We are merging the unique tags from selectOptions with the tags from newState\r\n      this.selectOptions = [\r\n        ...joinedNewStateAndSelectOptions,\r\n        ...newState.tags.map((tag) => ({\r\n          label: tag.name,\r\n          value: tag.name,\r\n          name: tag.name,\r\n        })),\r\n      ];\r\n      this.multiSelectTags = newState.tags.map((tag) => tag.name);\r\n\r\n      // // when artwork was empty\r\n      if (this.initialTitle === undefined) {\r\n        this.initialTitle = this.artwork.title;\r\n      }\r\n\r\n      this.$emit('change', { isDirty: this.isDirty, isValid: this.isValid });\r\n    },\r\n  },\r\n  mounted() {\r\n    this.selectOptions = this.tagOptions.map((tagName) => ({\r\n      value: tagName,\r\n      label: tagName,\r\n      name: tagName,\r\n    }));\r\n  },\r\n  methods: {\r\n    updateValue(key: string, value: string | string[]) {\r\n      this.$emit('update:artwork', {\r\n        ...this.artwork,\r\n        [key]: value,\r\n      });\r\n    },\r\n    onFilter(filterValue: string) {\r\n      if (this.newTag.length === 0) {\r\n        this.newTag.push({\r\n          name: filterValue,\r\n          value: filterValue,\r\n          label: `${filterValue} (NEW)`,\r\n        });\r\n      } else {\r\n        this.newTag.pop();\r\n        this.newTag.push({\r\n          name: filterValue,\r\n          value: filterValue,\r\n          label: `${filterValue} (NEW)`,\r\n        });\r\n      }\r\n\r\n      this.multiSelectFilterValue = filterValue.trim();\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../node_modules/babel-loader/lib/index.js!../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./EditArtworkForm.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../node_modules/babel-loader/lib/index.js!../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./EditArtworkForm.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./EditArtworkForm.vue?vue&type=template&id=5d9492ec\"\nimport script from \"./EditArtworkForm.vue?vue&type=script&lang=ts\"\nexport * from \"./EditArtworkForm.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./EditArtworkForm.vue?vue&type=style&index=0&id=5d9492ec&prod&lang=scss\")\nif (style0.__inject__) style0.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  null,\n  null\n  ,true\n)\n\nexport default component.exports","\r\nimport Vue, { PropType } from 'vue';\r\nimport { SideBar } from '../SideBar';\r\nimport { CvButtonSet, CvButton, CvLoading } from '@carbon/vue';\r\nimport { ArtworkResultItem, UpdateCustomerArtwork } from '../typings';\r\nimport EditArtworkForm from './EditArtworkForm.vue';\r\nimport artworkAPI from '@/services/CustomersService';\r\n\r\nexport default Vue.extend({\r\n  components: {\r\n    SideBar,\r\n    EditArtworkForm,\r\n    CvButtonSet,\r\n    CvButton,\r\n    CvLoading,\r\n  },\r\n  props: {\r\n    isOpen: {\r\n      type: Boolean,\r\n      default: false,\r\n    },\r\n    artworkId: {\r\n      type: String,\r\n    },\r\n    tagOptions: {\r\n      type: [] as PropType<string[]>,\r\n    },\r\n  },\r\n  data() {\r\n    return {\r\n      artwork: {} as ArtworkResultItem,\r\n      isSaveEnabled: true,\r\n      isLoading: false,\r\n      isShowingForm: false,\r\n    };\r\n  },\r\n  computed: {\r\n    shouldFetch(): boolean {\r\n      return this.isOpen && this.artworkId !== '';\r\n    },\r\n  },\r\n  watch: {\r\n    shouldFetch: async function () {\r\n      // ToDo: This has to be called somewhere else\r\n      // this.resetModel();\r\n\r\n      if (this.artworkId) {\r\n        await this.getArtwork();\r\n      }\r\n    },\r\n  },\r\n  methods: {\r\n    getArtwork: async function () {\r\n      this.isLoading = true;\r\n\r\n      // Don't delete this for now\r\n      // var retrievedData: ArtworkResultItem = {\r\n      //   id: '',\r\n      //   title: '',\r\n      //   fileName: '',\r\n      //   thumbnailUrl: '',\r\n      //   tags: [],\r\n      //   originalFileUrl: '',\r\n      //   pngFileUrl: '',\r\n      //   pmsColorsInPngFile: [],\r\n      //   spotColorsInOriginalFile: [],\r\n      //   pngWidthPixels: 0,\r\n      //   pngHeightPixels: 0,\r\n      //   pngHorizontalResolutionDPIs: 0,\r\n      //   pngVerticalResolutionDPIs: 0,\r\n      // };\r\n\r\n      try {\r\n        const { data } = await artworkAPI\r\n          .getById(this.artworkId)\r\n          .finally(() => (this.isLoading = false));\r\n\r\n        this.artwork = data;\r\n      } catch (error) {\r\n        console.log(error);\r\n      }\r\n    },\r\n    patchArtwork: async function () {\r\n      const updateArtwork: UpdateCustomerArtwork = {\r\n        newTitle: this.artwork.title,\r\n        newTagsList: this.artwork.tags,\r\n      };\r\n      artworkAPI.update(this.artworkId, updateArtwork).then(() => {\r\n        this.$emit('action', 'edit-success', updateArtwork);\r\n      });\r\n    },\r\n    resetModel() {\r\n      this.artwork = {} as ArtworkResultItem;\r\n      this.isShowingForm = false;\r\n    },\r\n    onFunction() {\r\n      this.isShowingForm = true;\r\n    },\r\n    onArtworkChanged({\r\n      isDirty,\r\n      isValid,\r\n    }: {\r\n      isDirty: { title: boolean; tags: boolean };\r\n      isValid: { title: boolean };\r\n    }) {\r\n      this.isSaveEnabled = isValid.title && (isDirty.title || isDirty.tags);\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../node_modules/babel-loader/lib/index.js!../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./EditArtworkDialog.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../node_modules/babel-loader/lib/index.js!../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./EditArtworkDialog.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./EditArtworkDialog.vue?vue&type=template&id=6e9e83bf&scoped=true\"\nimport script from \"./EditArtworkDialog.vue?vue&type=script&lang=ts\"\nexport * from \"./EditArtworkDialog.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./EditArtworkDialog.vue?vue&type=style&index=0&id=6e9e83bf&prod&lang=scss&scoped=true\")\nif (style0.__inject__) style0.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  \"6e9e83bf\",\n  null\n  ,true\n)\n\nexport default component.exports","import { defineStore } from 'pinia';\r\nimport i18n from '@/i18n';\r\nimport customersAPI from '@/services/CustomersService';\r\n\r\nexport const useStore = defineStore({\r\n  id: 'lang',\r\n\r\n  state: () => {\r\n    return {\r\n      languageInUse: 'none',\r\n    };\r\n  },\r\n  getters: {\r\n    languageCode(): string {\r\n      return this.languageInUse;\r\n    },\r\n  },\r\n  actions: {\r\n    setLanguageLocale(locale: string) {\r\n      this.languageInUse = locale;\r\n      i18n.locale = this.languageInUse;\r\n    },\r\n    async setDefaultTranslations(){\r\n      if (process.env.VUE_APP_USE_LOCAL_TRANSLATIONS === 'false') {\r\n        const translationsJson = await customersAPI.getTranslations('en');\r\n        i18n.setLocaleMessage('en', translationsJson.data);\r\n      } \r\n    }\r\n  },\r\n});\r\n\r\ndeclare const window: Window & {\r\n  setLanguageLocale: (locale: string) => void;\r\n};\r\n\r\n/**\r\n * Dispose this on window global, for demoing purposes\r\n * @param locale language locale string\r\n */\r\nwindow.setLanguageLocale = (locale: string) => {\r\n  i18n.locale = locale;\r\n};\r\n","\r\nimport Vue, { PropType } from 'vue';\r\nimport { LogoLibraryHeader } from './Header';\r\nimport { ActionBar } from './ActionBar';\r\nimport { ImageThumbnails } from './ImageThumbnails';\r\nimport { ErrorNotification } from '../../libs/proof-approval/ErrorNotification';\r\nimport {\r\n  CvGrid,\r\n  CvColumn,\r\n  CvRow,\r\n  CvInlineLoading,\r\n  CvLoading,\r\n} from '@carbon/vue';\r\nimport QuestionAboutWhite from '@/components/QuestionAboutWhiteColor/QuestionAboutWhite.vue';\r\nimport QuestionAboutWhiteReplace from '@/components/QuestionAboutWhiteColor/QuestionAboutWhiteReplace.vue';\r\nimport { WizardPayload, PaggedCollection } from './typings';\r\nimport customersAPI from '@/services/CustomersService';\r\nimport imageProcessingAPI from '@/services/FileService';\r\nimport { ItemActions } from './ItemActions';\r\nimport { UploadArtworkDialog } from './UploadArtworkDialog';\r\nimport { EditArtworkDialog } from './EditArtworkDialog';\r\nimport { throttle } from 'throttle-debounce';\r\nimport axios, { AxiosError } from 'axios';\r\nimport { base64StringToBlob } from 'blob-util';\r\nimport { SearchByCriteria } from './typings';\r\nimport { v4 as uuidv4 } from 'uuid';\r\nimport { SupportedLangCodes } from '../../constants/languageCodes';\r\nimport {\r\n  ImageProcessingEngineVersion,\r\n  DoSmallDetailsPart,\r\n} from '../../constants/imageProcessingEngine';\r\nimport {\r\n  Artwork,\r\n  ArtworkResult,\r\n  VFileUploaderFile,\r\n} from '@/components/w2pFileUploader';\r\nimport { mapState } from 'pinia';\r\nimport { SetArtworkBackgroundCommand } from '@/web-components/import-wizard/typings/colorManagement/colorManagement';\r\nimport {\r\n  SmallDetailsLoader,\r\n  SmallDetailsOneLogo,\r\n} from '@/components/SmallDetails';\r\nimport { lineWidth } from '@/constants/areaLineWidth';\r\nimport { px2mm } from '@/utils';\r\nimport { SmallDetailsResult } from '@/typings';\r\nimport {\r\n  CheckImageSmallDetailsCommand,\r\n  SmallDetailsPayload,\r\n} from '@/typings/SmallDetails';\r\nimport { SmallDetailsLimitations } from '@midocean/webapps-shared-domain';\r\nimport { useStore as useProductStore } from '@/stores/product';\r\nimport { useStore as useProductStoreV2 } from '@/stores/v2/product';\r\nimport { useStore as useLangStore } from '@/stores/lang';\r\nimport { useStore as useLangStoreV2 } from '@/stores/v2/lang';\r\n\r\nexport default Vue.extend({\r\n  components: {\r\n    CvGrid,\r\n    CvRow,\r\n    CvColumn,\r\n    CvInlineLoading,\r\n    CvLoading,\r\n    ItemActions,\r\n    LogoLibraryHeader,\r\n    ActionBar,\r\n    ImageThumbnails,\r\n    UploadArtworkDialog,\r\n    EditArtworkDialog,\r\n    SmallDetailsLoader,\r\n    SmallDetailsOneLogo,\r\n    ErrorNotification,\r\n    QuestionAboutWhite,\r\n    QuestionAboutWhiteReplace,\r\n  },\r\n  props: {\r\n    sapCustomerId: {\r\n      type: String,\r\n      required: true,\r\n    },\r\n    env: {\r\n      type: Object,\r\n      default: () => ({ context: 'myAccount' }),\r\n    },\r\n    lang: {\r\n      type: String as PropType<SupportedLangCodes>,\r\n      required: false,\r\n      default: 'en',\r\n    },\r\n    useVersion2: {\r\n      type: Boolean,\r\n      required: false,\r\n      default: false,\r\n    },\r\n  },\r\n\r\n  data() {\r\n    return {\r\n      artworksCollection: {} as PaggedCollection,\r\n      smallDetailsResult: null as SmallDetailsResult | null,\r\n      wizardPayload: null as WizardPayload | null,\r\n      limitation: {} as SmallDetailsLimitations | undefined,\r\n      thumbEl: null as unknown as any,\r\n      customerId: '',\r\n      isLoading: false,\r\n      showSmallDetailsLoader: false,\r\n      isSmallDetailsOpen: false,\r\n      isDeleting: false,\r\n      activeDialog: '',\r\n      selectedArtworkId: '',\r\n      searchTerm: '',\r\n      page: 1,\r\n      pageSize: 12,\r\n      tagOptions: [] as string[],\r\n      selectedTags: [] as string[],\r\n      uuidv4,\r\n      isNotificationVisible: false,\r\n      errorMessage: '',\r\n    };\r\n  },\r\n\r\n  computed: {\r\n    ...mapState(useProductStore, ['isSublimationTechnique']),\r\n    ...mapState(useProductStoreV2, ['isSublimationTechnique']),\r\n    ...mapState(useLangStore, ['languageInUse']),\r\n    ...mapState(useLangStoreV2, ['languageInUse']),\r\n    // Need to throtlle function because of scroll event calling the Customer API multiple times for every incremented page\r\n    throttledOnScroll(): any {\r\n      return throttle(200, this.onScroll);\r\n    },\r\n    searchByCriteria(): SearchByCriteria {\r\n      return { title: this.searchTerm, tags: this.selectedTags };\r\n    },\r\n  },\r\n\r\n  watch: {\r\n    async languageInUse() {\r\n      if (process.env.VUE_APP_USE_LOCAL_TRANSLATIONS === 'false') {\r\n        var translationsJson = await customersAPI.getTranslations(\r\n          this.languageInUse\r\n        );\r\n        this.$i18n.setLocaleMessage(this.languageInUse, translationsJson.data);\r\n      }\r\n    },\r\n    async searchTerm() {\r\n      this.artworksCollection = {} as PaggedCollection;\r\n      await this.loadArtworks({\r\n        customerId: this.sapCustomerId,\r\n        searchBy: this.searchByCriteria,\r\n        page: 1,\r\n        pageSize: this.pageSize,\r\n      });\r\n\r\n      // Deselect artwork if a search term was entered in the search bar\r\n      this.selectedArtworkId = '';\r\n    },\r\n\r\n    // eslint-disable-next-line @typescript-eslint/no-unused-vars\r\n    async page(current, _old) {\r\n      // This check is necessary for now, because in the doSearch method we change the values of both searchTerm and page which both invoke there respective watcher functions and thus the Customer API is called twice\r\n      // So if the page Data property has been manually set in the doSearch method to the value of 1, the call to the Customers API will be skipped in the page watcher function\r\n      // This is okay because every page number larger than 1 invokes the watcher function (so onScroll works without a problem)\r\n      if (current !== 1) {\r\n        await this.loadArtworks({\r\n          customerId: this.sapCustomerId,\r\n          searchBy: this.searchByCriteria,\r\n          page: current,\r\n          pageSize: this.pageSize,\r\n        });\r\n      }\r\n    },\r\n  },\r\n\r\n  async mounted() {\r\n    await this.loadArtworks({\r\n      customerId: this.sapCustomerId,\r\n      searchBy: this.searchByCriteria,\r\n      page: this.page,\r\n      pageSize: this.pageSize,\r\n    });\r\n\r\n    this.populateCustomerId();\r\n\r\n    this.tagOptions = await this.loadTags(this.customerId);\r\n\r\n    this.thumbEl = this.$refs['thumbnail-list'];\r\n    if (this.thumbEl) {\r\n      this.thumbEl.$el.addEventListener('scroll', this.throttledOnScroll);\r\n\r\n      this.$on('hook:beforeDestroy', () => {\r\n        this.thumbEl.$el.removeEventListener('scroll', this.throttledOnScroll);\r\n      });\r\n    }\r\n  },\r\n\r\n  methods: {\r\n    async keepWhite() {\r\n      if (this.isSublimationTechnique) {\r\n        this.$modal.hide('question-about-white-replace');\r\n      } else {\r\n        this.$modal.hide('question-about-white');\r\n      }\r\n\r\n      await this.finalizePayloadProcessing();\r\n    },\r\n    async removeWhite() {\r\n      if (this.isSublimationTechnique) {\r\n        this.$modal.hide('question-about-white-replace');\r\n      } else {\r\n        this.$modal.hide('question-about-white');\r\n      }\r\n\r\n      const command: SetArtworkBackgroundCommand = {\r\n        isFullBackground: true,\r\n        color: 2,\r\n      };\r\n      const { data } = await imageProcessingAPI.changeLogoBackground(\r\n        this.wizardPayload?.pngFile || '',\r\n        command\r\n      );\r\n\r\n      if (this.wizardPayload) {\r\n        this.wizardPayload.pngFile = base64StringToBlob(\r\n          data.pngFile,\r\n          'image/png'\r\n        );\r\n        this.wizardPayload.pngFileWithoutConverters = base64StringToBlob(\r\n          data.pngFile,\r\n          'image/png'\r\n        );\r\n        this.wizardPayload.pngHeightPixels = data.heightInPx;\r\n        this.wizardPayload.pngWidthPixels = data.widthInPx;\r\n\r\n        if (data.isAllWhiteRemoved) {\r\n          const whiteColorIndex =\r\n            this.wizardPayload.pmsColorsInPngFile.findIndex(\r\n              (c) => c.name === 'Pure White'\r\n            );\r\n          if (whiteColorIndex !== -1) {\r\n            this.wizardPayload.pmsColorsInPngFile.splice(whiteColorIndex, 1);\r\n          }\r\n        }\r\n      }\r\n\r\n      await this.finalizePayloadProcessing();\r\n    },\r\n    async finalizePayloadProcessing() {\r\n      if (DoSmallDetailsPart && this.limitation) {\r\n        this.isSmallDetailsOpen = false;\r\n        this.smallDetailsResult = null;\r\n\r\n        this.showSmallDetailsLoader = true;\r\n        await this.prepareSmallDetailsResults(\r\n          this.wizardPayload as WizardPayload,\r\n          this.limitation as SmallDetailsLimitations\r\n        );\r\n        this.showSmallDetailsLoader = false;\r\n      } else {\r\n        // TO DO: Remove this flow when small details is finised\r\n        this.wizardPayloadReady(this.wizardPayload as unknown as WizardPayload);\r\n      }\r\n    },\r\n\r\n    populateCustomerId() {\r\n      if (this.artworksCollection.page.length === 0) {\r\n        this.customerId = uuidv4();\r\n      } else {\r\n        this.customerId = this.artworksCollection.page[0].customerId;\r\n      }\r\n    },\r\n    onBackToLibrary() {\r\n      this.isSmallDetailsOpen = false;\r\n      this.selectedArtworkId = '';\r\n    },\r\n    async onUploadReady(payload: ArtworkResult) {\r\n      this.wizardPayload = {\r\n        ...payload,\r\n        pngFileWithoutConverters: payload.pngFile,\r\n      } as unknown as WizardPayload;\r\n      await this.processWizardPayload();\r\n    },\r\n    onUploadNewLogo() {\r\n      this.isSmallDetailsOpen = false;\r\n      this.selectedArtworkId = '';\r\n      this.activeDialog = 'UploadArtworkDialog';\r\n    },\r\n    onProceedWithLogo(smallDetailsPayload: SmallDetailsPayload) {\r\n      if (this.wizardPayload) {\r\n        this.wizardPayload.smallDetailsResult = smallDetailsPayload;\r\n        this.wizardPayloadReady(this.wizardPayload);\r\n      }\r\n    },\r\n    doSearch(value: string) {\r\n      this.searchTerm = value;\r\n\r\n      // Fixed indexing bug, the value of the page property within Data was never set back to 1\r\n      this.page = 1;\r\n    },\r\n\r\n    async dispatchAction(action: string) {\r\n      if (action === 'remove') {\r\n        this.isDeleting = true;\r\n        let result: any;\r\n\r\n        result = customersAPI\r\n          .delete(this.selectedArtworkId)\r\n          .catch((error) => {\r\n            this.handleError(error);\r\n            return;\r\n          })\r\n          .then(() => {\r\n            return this.loadTags(this.customerId);\r\n          })\r\n          .then((tagOptions) => {\r\n            this.artworksCollection = {} as PaggedCollection;\r\n\r\n            this.tagOptions = tagOptions;\r\n\r\n            // TODO: This must be refactored so that the method returns object\r\n            return this.loadArtworks({\r\n              customerId: this.sapCustomerId,\r\n              searchBy: this.searchByCriteria,\r\n              page: 1,\r\n              pageSize: this.pageSize,\r\n            });\r\n          })\r\n          .then(() => {\r\n            this.selectedArtworkId = '';\r\n          })\r\n          .finally(() => (this.isDeleting = false));\r\n\r\n        return result;\r\n      }\r\n      if (action === 'edit') {\r\n        this.activeDialog = 'EditArtworkDialog';\r\n        return;\r\n      }\r\n\r\n      if (this.env.context === 'wizard' && action === 'import') {\r\n        this.wizardPayload = await this.createPersonalizationArtwork();\r\n        await this.processWizardPayload();\r\n        return;\r\n      }\r\n      if (action === 'cancel') {\r\n        this.selectedArtworkId = '';\r\n        return;\r\n      }\r\n\r\n      if (['upload-success', 'edit-success'].includes(action)) {\r\n        this.artworksCollection = {} as PaggedCollection;\r\n\r\n        this.tagOptions = await this.loadTags(this.customerId);\r\n        await this.loadArtworks({\r\n          customerId: this.sapCustomerId,\r\n          searchBy: this.searchByCriteria,\r\n          page: 1,\r\n          pageSize: this.pageSize,\r\n        });\r\n\r\n        this.selectedArtworkId = '';\r\n        this.activeDialog = '';\r\n      }\r\n    },\r\n\r\n    async processWizardPayload() {\r\n      const productStore = this.useVersion2\r\n        ? useProductStoreV2()\r\n        : useProductStore();\r\n      this.limitation = productStore.activePosition.limitation;\r\n\r\n      if (\r\n        productStore.isLaserConverter() &&\r\n        this.wizardPayload?.pmsColorsInPngFile.findIndex((c) =>\r\n          c.name.includes('Pure White')\r\n        ) !== -1\r\n      ) {\r\n        this.$modal.show('question-about-white');\r\n      } else if (\r\n        this.isSublimationTechnique &&\r\n        this.wizardPayload?.pmsColorsInPngFile.findIndex((c) =>\r\n          c.name.includes('Pure White')\r\n        ) !== -1\r\n      ) {\r\n        this.$modal.show('question-about-white-replace');\r\n      } else {\r\n        await this.finalizePayloadProcessing();\r\n      }\r\n    },\r\n\r\n    async prepareSmallDetailsResults(\r\n      payload: WizardPayload,\r\n      limitation: SmallDetailsLimitations\r\n    ) {\r\n      const widthInMM = this.calculateArtworkSize(payload);\r\n\r\n      this.smallDetailsResult = await this.smallDetailsCheck(\r\n        payload.id,\r\n        widthInMM,\r\n        limitation.positiveLimitMM,\r\n        limitation.negativeLimitMM,\r\n        payload.pngFile,\r\n        limitation.ignoreColors ||\r\n          Array.from(new Set(payload.pmsColorsInPngFile.map((obj) => obj.name)))\r\n            .length === 1\r\n      );\r\n\r\n      this.isSmallDetailsOpen = true;\r\n    },\r\n\r\n    async smallDetailsCheck(\r\n      id: string,\r\n      logoWidthInMm: number,\r\n      positiveLimitInMm: number,\r\n      negativeLimitInMm: number,\r\n      file: Blob,\r\n      ignoreColors: boolean\r\n    ): Promise<SmallDetailsResult | null> {\r\n      const command: CheckImageSmallDetailsCommand = {\r\n        id,\r\n        logoWidthInMm,\r\n        positiveLimitInMm,\r\n        negativeLimitInMm,\r\n        ignoreColors,\r\n      };\r\n      return imageProcessingAPI\r\n        .checkImageSmallDetails(command, file)\r\n        .catch((e) => {\r\n          this.handleError(e);\r\n          console.log(e);\r\n          return null;\r\n        })\r\n        .then((resp) => {\r\n          return resp && resp.data;\r\n        })\r\n        .finally(() => (this.showSmallDetailsLoader = false));\r\n    },\r\n\r\n    async convertToBlob(fileUrl: string) {\r\n      return axios({\r\n        url: fileUrl,\r\n        method: 'GET',\r\n        responseType: 'blob',\r\n      }).then((response) => {\r\n        return response.data;\r\n      });\r\n    },\r\n\r\n    async createPersonalizationArtwork(): Promise<WizardPayload> {\r\n      let payload: WizardPayload = {} as WizardPayload;\r\n      this.isLoading = true;\r\n      try {\r\n        const { data } = await customersAPI.getById(this.selectedArtworkId);\r\n\r\n        if (data.engineVersion === ImageProcessingEngineVersion) {\r\n          const pngFileBlob = await this.convertToBlob(data.pngFileUrl);\r\n          payload = {\r\n            ...data,\r\n            customerArtworkId: data.id,\r\n            pngFile: pngFileBlob,\r\n            pngFileWithoutConverters: pngFileBlob,\r\n            pmsColorsInPngFile: data.pmsColorsInPngFile,\r\n            personalizationArtworkId: '',\r\n          };\r\n          const resp = await customersAPI.createDraftPersonalizationArtwork(\r\n            payload.customerArtworkId\r\n          );\r\n          payload.personalizationArtworkId = resp.data.id;\r\n          payload.id = resp.data.id;\r\n          payload.originalWidthMM = resp.data.originalWidthMM;\r\n          payload.originalHeightMM = resp.data.originalHeightMM;\r\n          payload.originalHorizontalResolutionDPIs =\r\n            resp.data.originalHorizontalResolutionDPIs;\r\n          payload.originalVerticalResolutionDPIs =\r\n            resp.data.originalVerticalResolutionDPIs;\r\n        } else {\r\n          const artwork: Artwork = {\r\n            shouldSaveInLogoLibrary: true,\r\n            shouldSaveDraftForWizard: true,\r\n            title: data.title,\r\n            fileName: data.fileName,\r\n            externalCustomerId: this.sapCustomerId,\r\n            customerId: this.customerId,\r\n            customerArtworkId: data.id,\r\n            currentEngineVersion: ImageProcessingEngineVersion,\r\n          };\r\n          const originalFileBlob = await this.convertToBlob(\r\n            data.originalFileUrl\r\n          );\r\n\r\n          const fileForProcessing: VFileUploaderFile = {\r\n            file: new File([originalFileBlob], data.fileName),\r\n            invalidMessage: '',\r\n            invalidMessageTitle: '',\r\n            state: '',\r\n          };\r\n          const pngFileBlob = await this.convertToBlob(data.pngFileUrl);\r\n          const response = await imageProcessingAPI.upload(\r\n            artwork,\r\n            fileForProcessing\r\n          );\r\n          payload = {\r\n            ...response.data,\r\n            id: response.data.personalizationArtworkId,\r\n            title: data.fileName,\r\n            fileName: data.fileName,\r\n            thumbnailUrl: data.thumbnailUrl,\r\n            tags: data.tags,\r\n            pngFileUrl: data.pngFileUrl,\r\n            pngFile: pngFileBlob,\r\n            pngFileWithoutConverters: pngFileBlob,\r\n          };\r\n        }\r\n      } catch (e: any) {\r\n        console.log(e);\r\n        this.isLoading = false;\r\n        if (e.response.status === 409) {\r\n          if (\r\n            e.response.data.error.message ===\r\n            'Provided PDF contains more than 10 pages, which is not allowed. Please provide PDF with less than 10 pages.'\r\n          ) {\r\n            this.errorMessage = this.$t(\r\n              'section.errors.mutlipage-pdf-exception'\r\n            ).toString();\r\n          } else if (\r\n            e.response.data.error.message ===\r\n            'W2P is unable to process provided artwork. Processing would require too much time. Please provide simplified version.'\r\n          ) {\r\n            this.errorMessage = this.$t(\r\n              'section.errors.timeout-exception'\r\n            ).toString();\r\n          } else if (\r\n            e.response.data.error.message ===\r\n            'W2P is unable to process provided artwork due to technical limitations. Please provide different artwork.'\r\n          ) {\r\n            this.errorMessage = this.$t(\r\n              'section.errors.image-magick'\r\n            ).toString();\r\n          } else if (\r\n            e.response.data.error.message ===\r\n            'W2P is unable to process provided artwork due to technical limitations. Please provide different artwork.'\r\n          ) {\r\n            this.errorMessage = this.$t(\r\n              'section.errors.ghost-script'\r\n            ).toString();\r\n          } else if (\r\n            e.response.data.error.message ===\r\n            'W2P is unable to process provided artwork due to technical limitations. Please provide different artwork.'\r\n          ) {\r\n            this.errorMessage = this.$t(\r\n              'section.errors.resolution-error'\r\n            ).toString();\r\n          } else if (\r\n            e.response.data.error.message ===\r\n            'W2P is unable to process provided artwork due to technical limitations. Please provide different artwork.'\r\n          ) {\r\n            this.errorMessage = this.$t(\r\n              'section.errors.argument-exception'\r\n            ).toString();\r\n          }\r\n          this.isNotificationVisible = true;\r\n        } else {\r\n          this.handleError(e);\r\n          throw e;\r\n        }\r\n      }\r\n\r\n      this.isLoading = false;\r\n      return payload;\r\n    },\r\n\r\n    wizardPayloadReady(payload: WizardPayload) {\r\n      this.$emit('logo-library:import', payload);\r\n    },\r\n\r\n    calculateArtworkSize(payload: WizardPayload) {\r\n      const artworkSpaceConsumed = 97; // value in percents\r\n      let calcArtworkWidth = 0;\r\n      let calcArtworkHeight = 0;\r\n      const CORRECTION_FACTOR = 0;\r\n      // TODO - remove old store after version 1 is no longer used\r\n      const productStore = useProductStore();\r\n      const productStoreV2 = useProductStoreV2();\r\n      const currentProductStore = this.useVersion2\r\n        ? useProductStoreV2()\r\n        : useProductStore();\r\n\r\n      const { originalImageWebDpi, originalImageWidthPx, originalImageDpi } =\r\n        currentProductStore.activePosition;\r\n\r\n      const webImageWidthPx =\r\n        originalImageWidthPx &&\r\n        originalImageWebDpi &&\r\n        originalImageDpi &&\r\n        (originalImageWidthPx * originalImageWebDpi) / originalImageDpi;\r\n      const rectLineWidth = (lineWidth * (webImageWidthPx as number)) / 100;\r\n\r\n      const aspectRatioWH = payload.pngWidthPixels / payload.pngHeightPixels;\r\n      const aspectRatioHW = payload.pngHeightPixels / payload.pngWidthPixels;\r\n\r\n      const positionId = currentProductStore.activePosition.id;\r\n\r\n      if (positionId) {\r\n        const currentPrintPosition = currentProductStore.printPositions?.find(\r\n          (p) => {\r\n            return p.id === positionId;\r\n          }\r\n        );\r\n\r\n        var printArea = this.useVersion2\r\n          ? productStoreV2.printPositionArea(positionId, false)\r\n          : productStore.drawPoints(positionId);\r\n\r\n        if (\r\n          currentPrintPosition &&\r\n          currentPrintPosition.printArea?.shapeType === 'Rectangle'\r\n        ) {\r\n          const areaRect = {\r\n            x: printArea.x + rectLineWidth / 2,\r\n            y: printArea.y + rectLineWidth / 2,\r\n            w:\r\n              (this.useVersion2 ? printArea.width : printArea.w) -\r\n              rectLineWidth,\r\n            h:\r\n              (this.useVersion2 ? printArea.height : printArea.h) -\r\n              rectLineWidth,\r\n          };\r\n\r\n          const artworkRatio = payload.pngWidthPixels / payload.pngHeightPixels;\r\n          const areaRatio = areaRect.w / areaRect.h;\r\n\r\n          // Artwork is more landscape than area - fit to width\r\n          if (artworkRatio > areaRatio) {\r\n            calcArtworkWidth = areaRect.w - CORRECTION_FACTOR;\r\n            calcArtworkHeight =\r\n              (calcArtworkWidth / payload.pngWidthPixels) *\r\n              payload.pngHeightPixels;\r\n          }\r\n          // Artwork is more portrait than area - fit to height\r\n          else {\r\n            calcArtworkHeight = areaRect.h - CORRECTION_FACTOR;\r\n            calcArtworkWidth =\r\n              (calcArtworkHeight / payload.pngHeightPixels) *\r\n              payload.pngWidthPixels;\r\n          }\r\n        }\r\n\r\n        if (\r\n          positionId &&\r\n          currentPrintPosition &&\r\n          currentPrintPosition.printArea?.shapeType === 'Ellipse'\r\n        ) {\r\n          const min = printArea.rx < printArea.ry ? printArea.rx : printArea.ry;\r\n          let size = 0;\r\n          if (Math.abs(printArea.ry - printArea.rx) > 630) {\r\n            size = min * 2;\r\n          } else {\r\n            size = min * 1.6;\r\n          }\r\n\r\n          if (aspectRatioWH >= aspectRatioHW) {\r\n            calcArtworkWidth = (size * (artworkSpaceConsumed - 15)) / 100;\r\n            calcArtworkHeight = calcArtworkWidth / aspectRatioWH;\r\n          } else {\r\n            calcArtworkHeight = (size * (artworkSpaceConsumed - 15)) / 100;\r\n            calcArtworkWidth = calcArtworkHeight / aspectRatioHW;\r\n          }\r\n        }\r\n\r\n        if (\r\n          currentPrintPosition &&\r\n          currentPrintPosition.printArea?.shapeType === 'Polygon'\r\n        ) {\r\n          const size =\r\n            currentProductStore.polygonDetails(positionId).minDistance;\r\n\r\n          if (aspectRatioWH >= aspectRatioHW) {\r\n            calcArtworkWidth = (size * artworkSpaceConsumed) / 100;\r\n            calcArtworkHeight = calcArtworkWidth / aspectRatioWH;\r\n          } else {\r\n            calcArtworkHeight = (size * artworkSpaceConsumed) / 100;\r\n            calcArtworkWidth = calcArtworkHeight / aspectRatioHW;\r\n          }\r\n        }\r\n      }\r\n\r\n      return px2mm(calcArtworkWidth, originalImageWebDpi as number);\r\n    },\r\n    async loadArtworks({\r\n      customerId,\r\n      searchBy,\r\n      page,\r\n      pageSize,\r\n    }: {\r\n      customerId: string;\r\n      searchBy: { title: string; tags: string[] };\r\n      page: number;\r\n      pageSize: number;\r\n    }) {\r\n      this.isLoading = true;\r\n      try {\r\n        const { data } = await customersAPI.getAll({\r\n          customerId,\r\n          searchBy,\r\n          page,\r\n          pageSize,\r\n        });\r\n\r\n        /**\r\n         * In case of a frist fetch, collectionPage should default to an empty array\r\n         */\r\n        const { page: collectionPage = [] } = this.artworksCollection;\r\n        const { page: dataPage } = data;\r\n\r\n        this.artworksCollection = {\r\n          ...data,\r\n          page: [...collectionPage, ...dataPage],\r\n        };\r\n      } catch (error) {\r\n        this.handleError(error);\r\n\r\n        return Promise.resolve([]);\r\n      } finally {\r\n        this.isLoading = false;\r\n      }\r\n    },\r\n\r\n    handleError(error: any) {\r\n      if (error && error.response && error.response.status === 400) {\r\n        this.errorMessage = 'notification-inline.user-input-error';\r\n      } else if (error && error.response && error.response.status === 404) {\r\n        this.errorMessage = 'notification-inline.item-not-found';\r\n      } else {\r\n        this.errorMessage = '';\r\n      }\r\n\r\n      this.isNotificationVisible = true;\r\n    },\r\n\r\n    async loadTags(customerId: string): Promise<string[]> {\r\n      this.tagOptions = [];\r\n\r\n      try {\r\n        const { data } = await customersAPI.getTags(customerId);\r\n\r\n        return data.map(({ name }) => name);\r\n      } catch (error: unknown) {\r\n        console.log(error);\r\n        this.handleError(error);\r\n        return Promise.resolve([]);\r\n      }\r\n    },\r\n\r\n    async onScroll() {\r\n      if (\r\n        this.thumbEl &&\r\n        this.thumbEl.$el.scrollTop + this.thumbEl.$el.clientHeight + 10 >=\r\n          this.thumbEl.$el.scrollHeight\r\n      ) {\r\n        if (this.artworksCollection.hasNextPage) {\r\n          this.page += 1;\r\n        }\r\n      }\r\n    },\r\n\r\n    async filterArtworksByTags(selectedTags: string[]) {\r\n      this.artworksCollection = {} as PaggedCollection;\r\n      this.selectedArtworkId = '';\r\n\r\n      this.selectedTags = selectedTags;\r\n      await this.loadArtworks({\r\n        customerId: this.sapCustomerId,\r\n        searchBy: this.searchByCriteria,\r\n        page: 1,\r\n        pageSize: this.pageSize,\r\n      });\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/ts-loader/index.js??ref--15-2!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./TheApp.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/ts-loader/index.js??ref--15-2!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./TheApp.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./TheApp.vue?vue&type=template&id=d81890ee\"\nimport script from \"./TheApp.vue?vue&type=script&lang=ts\"\nexport * from \"./TheApp.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./TheApp.vue?vue&type=style&index=0&id=d81890ee&prod&lang=scss\")\nif (style0.__inject__) style0.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  null,\n  null\n  ,true\n)\n\nexport default component.exports","var render, staticRenderFns\nimport script from \"./PinturaEditor.vue?vue&type=script&lang=js\"\nexport * from \"./PinturaEditor.vue?vue&type=script&lang=js\"\n\n\n/* normalize component */\nimport normalizer from \"!../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  null,\n  null,\n  null\n  ,true\n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('div',{attrs:{\"id\":\"root\"}},[_c('modal',{attrs:{\"name\":\"tiptap-modal\",\"height\":\"auto\",\"width\":\"700px\",\"click-to-close\":false,\"adaptive\":true,\"scrollable\":true,\"draggable\":\".custom-text-editor > .drag-point\"},on:{\"before-open\":_vm.beforeOpenTipTapModal}},[_c('tiptap',{attrs:{\"id\":_vm.tipTapContentShapeId,\"attributes\":_vm.tipTapAttributes},on:{\"update:attributes\":_vm.updateCustomEditorContentAttributes,\"text-editor:close\":function($event){return _vm.$modal.hide('tiptap-modal')},\"wizard:price-params-changed\":(event) => _vm.$emit('wizard:price-params-changed', event)}})],1),_vm._t(\"toolbar\",null,null,{\n      tools: _vm.customTools,\n      activeInteractionMode: _vm.activeInteractionMode,\n    }),_vm._t(\"header\"),(_vm.initializeCropEditor)?_c('crop-editor',{on:{\"close:crop-editor\":() => (_vm.initializeCropEditor = false)}}):_vm._e(),(_vm.isLanyardPanelOpen)?_c('lanyard-panel'):_vm._e(),(_vm.isRoundItemPanelOpen)?_c('round-item-panel',{attrs:{\"is-disabled\":_vm.isRoundItemDisabled()},on:{\"position-logo\":_vm.positionLogoInFirstPanel,\"duplicate-logo\":_vm.executeDuplicateToOposite}}):_vm._e(),_c('PinturaEditor',_vm._b({ref:\"pinturaEditor\",attrs:{\"src\":_vm.src,\"util\":_vm.util,\"disabled\":_vm.isDisabled,\"imageAnnotation\":_vm.imageAnnotation,\"imageDecoration\":_vm.imageDecoration,\"beforeUpdateShape\":_vm.beforeUpdateShape,\"beforeSelectShape\":_vm.beforeSelectShape,\"beforeDeselectShape\":_vm.beforeDeselectShape,\"handleEvent\":_vm.handleEvent,\"beforeRemoveShape\":_vm.beforeRemoveShape,\"previewUpscale\":true,\"markupEditorZoomLevels\":[\n      0.1, 0.15, 0.2, 0.25, 0.5, 0.75, 1, 1.25, 1.5, 2, 2.5, 3,\n    ],\"markupEditorZoomAdjustStep\":0.01,\"markupEditorZoomAdjustFactor\":0.1},on:{\"pintura:load\":(e) => _vm.onLoad(e),\"pintura:ready\":(e) => _vm.$emit('ready', e),\"pintura:loaderror\":(e) => _vm.$emit('load-error', e),\"pintura:updateshape\":(e) => _vm.$emit('update-shape', e),\"pintura:removeshape\":(e) => _vm.$emit('remove-shape', e, true),\"pintura:addshape\":(e) => _vm.$emit('add-shape', e.id),\"pintura:selectshape\":(e) => _vm.$emit('select-shape', e.id),\"pintura:zoom\":(e) => _vm.$emit('action:zoom', e),\"pintura:undo\":_vm.undoHandler,\"pintura:redo\":_vm.redoHandler}},'PinturaEditor',_vm.editorDefaults,false))],2)\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","<script>\r\n/* eslint-disable @typescript-eslint/explicit-module-boundary-types */\r\n\r\nimport { appendEditor, dispatchEditorEvents } from 'pintura';\r\n\r\nexport default {\r\n  inheritAttrs: false,\r\n\r\n  mounted() {\r\n    // create editor\r\n    this.editor = appendEditor(this.$refs.elementRef, this.$attrs);\r\n\r\n    // listen for editor events and propagate to component\r\n    this.unsubs = dispatchEditorEvents(this.editor, (type, value) => {\r\n      this.$emit(`pintura:${type}`, value);\r\n    });\r\n\r\n    // observe prop changes\r\n    this.unwatch = this.$watch('$attrs', () => {\r\n      const { src, imageDecoration, imageAnnotation, util, disabled } =\r\n        this.$attrs;\r\n      Object.assign(this.editor, {\r\n        src,\r\n        imageDecoration,\r\n        imageAnnotation,\r\n        util,\r\n        disabled,\r\n      });\r\n    });\r\n  },\r\n\r\n  beforeDestroy() {\r\n    if (!this.editor) return;\r\n    this.editor.destroy();\r\n    this.unsubs.forEach((unsub) => unsub());\r\n    this.unsubs = [];\r\n    this.unwatch();\r\n    this.editor = undefined;\r\n  },\r\n\r\n  render(h) {\r\n    return h('div', {\r\n      attrs: { class: 'PinturaRootWrapper' },\r\n      ref: 'elementRef',\r\n    });\r\n  },\r\n};\r\n</script>\r\n","import mod from \"-!../../../../node_modules/cache-loader/dist/cjs.js??ref--13-0!../../../../node_modules/babel-loader/lib/index.js!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PinturaEditor.vue?vue&type=script&lang=js\"; export default mod; export * from \"-!../../../../node_modules/cache-loader/dist/cjs.js??ref--13-0!../../../../node_modules/babel-loader/lib/index.js!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PinturaEditor.vue?vue&type=script&lang=js\"","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('div',{staticClass:\"custom-text-editor\"},[_c('tiptap-toolbar',{staticClass:\"drag-point\",attrs:{\"attributes\":_vm.attributes,\"color-list\":_vm.availablePmsColors,\"hide-colors-dropdown\":_vm.isLaserConverter() || _vm.isDebossingTechnique()},on:{\"update:attributes\":_vm.updateAttributes}}),_c('editor-content',{attrs:{\"editor\":_vm.editor}}),_c('div',{attrs:{\"id\":\"toolbar-bottom\"}},[_c('cv-icon-button',{attrs:{\"id\":\"close-text-btn\",\"label\":_vm.$t('flow-starter.label.close'),\"tip-position\":\"right\",\"tip-alignment\":\"start\",\"kind\":\"ghost\"},on:{\"click\":_vm.cancelSave},scopedSlots:_vm._u([{key:\"icon\",fn:function(){return [_c('close-20')]},proxy:true}])}),_c('cv-button',{attrs:{\"id\":\"preview-text-btn\",\"kind\":\"ghost\",\"label\":_vm.$t('section.actions.preview')},on:{\"click\":function($event){return _vm.applyText(true)}}},[_vm._v(\" \"+_vm._s(_vm.$t('section.actions.preview'))+\" \")]),_c('cv-button',{attrs:{\"id\":\"apply-text-btn\",\"kind\":\"ghost\",\"label\":_vm.$t('section.actions.apply')},on:{\"click\":function($event){return _vm.applyText(false)}}},[_vm._v(\" \"+_vm._s(_vm.$t('section.actions.apply'))+\" \")])],1)],1)\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","// ::- Persistent data structure representing an ordered mapping from\n// strings to values, with some convenient update methods.\nfunction OrderedMap(content) {\n  this.content = content;\n}\n\nOrderedMap.prototype = {\n  constructor: OrderedMap,\n\n  find: function(key) {\n    for (var i = 0; i < this.content.length; i += 2)\n      if (this.content[i] === key) return i\n    return -1\n  },\n\n  // :: (string) → ?any\n  // Retrieve the value stored under `key`, or return undefined when\n  // no such key exists.\n  get: function(key) {\n    var found = this.find(key);\n    return found == -1 ? undefined : this.content[found + 1]\n  },\n\n  // :: (string, any, ?string) → OrderedMap\n  // Create a new map by replacing the value of `key` with a new\n  // value, or adding a binding to the end of the map. If `newKey` is\n  // given, the key of the binding will be replaced with that key.\n  update: function(key, value, newKey) {\n    var self = newKey && newKey != key ? this.remove(newKey) : this;\n    var found = self.find(key), content = self.content.slice();\n    if (found == -1) {\n      content.push(newKey || key, value);\n    } else {\n      content[found + 1] = value;\n      if (newKey) content[found] = newKey;\n    }\n    return new OrderedMap(content)\n  },\n\n  // :: (string) → OrderedMap\n  // Return a map with the given key removed, if it existed.\n  remove: function(key) {\n    var found = this.find(key);\n    if (found == -1) return this\n    var content = this.content.slice();\n    content.splice(found, 2);\n    return new OrderedMap(content)\n  },\n\n  // :: (string, any) → OrderedMap\n  // Add a new key to the start of the map.\n  addToStart: function(key, value) {\n    return new OrderedMap([key, value].concat(this.remove(key).content))\n  },\n\n  // :: (string, any) → OrderedMap\n  // Add a new key to the end of the map.\n  addToEnd: function(key, value) {\n    var content = this.remove(key).content.slice();\n    content.push(key, value);\n    return new OrderedMap(content)\n  },\n\n  // :: (string, string, any) → OrderedMap\n  // Add a key after the given key. If `place` is not found, the new\n  // key is added to the end.\n  addBefore: function(place, key, value) {\n    var without = this.remove(key), content = without.content.slice();\n    var found = without.find(place);\n    content.splice(found == -1 ? content.length : found, 0, key, value);\n    return new OrderedMap(content)\n  },\n\n  // :: ((key: string, value: any))\n  // Call the given function for each key/value pair in the map, in\n  // order.\n  forEach: function(f) {\n    for (var i = 0; i < this.content.length; i += 2)\n      f(this.content[i], this.content[i + 1]);\n  },\n\n  // :: (union<Object, OrderedMap>) → OrderedMap\n  // Create a new map by prepending the keys in this map that don't\n  // appear in `map` before the keys in `map`.\n  prepend: function(map) {\n    map = OrderedMap.from(map);\n    if (!map.size) return this\n    return new OrderedMap(map.content.concat(this.subtract(map).content))\n  },\n\n  // :: (union<Object, OrderedMap>) → OrderedMap\n  // Create a new map by appending the keys in this map that don't\n  // appear in `map` after the keys in `map`.\n  append: function(map) {\n    map = OrderedMap.from(map);\n    if (!map.size) return this\n    return new OrderedMap(this.subtract(map).content.concat(map.content))\n  },\n\n  // :: (union<Object, OrderedMap>) → OrderedMap\n  // Create a map containing all the keys in this map that don't\n  // appear in `map`.\n  subtract: function(map) {\n    var result = this;\n    map = OrderedMap.from(map);\n    for (var i = 0; i < map.content.length; i += 2)\n      result = result.remove(map.content[i]);\n    return result\n  },\n\n  // :: () → Object\n  // Turn ordered map into a plain object.\n  toObject: function() {\n    var result = {};\n    this.forEach(function(key, value) { result[key] = value; });\n    return result\n  },\n\n  // :: number\n  // The amount of keys in this map.\n  get size() {\n    return this.content.length >> 1\n  }\n};\n\n// :: (?union<Object, OrderedMap>) → OrderedMap\n// Return a map with the given content. If null, create an empty\n// map. If given an ordered map, return that map itself. If given an\n// object, create a map from the object's properties.\nOrderedMap.from = function(value) {\n  if (value instanceof OrderedMap) return value\n  var content = [];\n  if (value) for (var prop in value) content.push(prop, value[prop]);\n  return new OrderedMap(content)\n};\n\nexport default OrderedMap;\n","import OrderedMap from 'orderedmap';\n\nfunction findDiffStart(a, b, pos) {\n    for (let i = 0;; i++) {\n        if (i == a.childCount || i == b.childCount)\n            return a.childCount == b.childCount ? null : pos;\n        let childA = a.child(i), childB = b.child(i);\n        if (childA == childB) {\n            pos += childA.nodeSize;\n            continue;\n        }\n        if (!childA.sameMarkup(childB))\n            return pos;\n        if (childA.isText && childA.text != childB.text) {\n            for (let j = 0; childA.text[j] == childB.text[j]; j++)\n                pos++;\n            return pos;\n        }\n        if (childA.content.size || childB.content.size) {\n            let inner = findDiffStart(childA.content, childB.content, pos + 1);\n            if (inner != null)\n                return inner;\n        }\n        pos += childA.nodeSize;\n    }\n}\nfunction findDiffEnd(a, b, posA, posB) {\n    for (let iA = a.childCount, iB = b.childCount;;) {\n        if (iA == 0 || iB == 0)\n            return iA == iB ? null : { a: posA, b: posB };\n        let childA = a.child(--iA), childB = b.child(--iB), size = childA.nodeSize;\n        if (childA == childB) {\n            posA -= size;\n            posB -= size;\n            continue;\n        }\n        if (!childA.sameMarkup(childB))\n            return { a: posA, b: posB };\n        if (childA.isText && childA.text != childB.text) {\n            let same = 0, minSize = Math.min(childA.text.length, childB.text.length);\n            while (same < minSize && childA.text[childA.text.length - same - 1] == childB.text[childB.text.length - same - 1]) {\n                same++;\n                posA--;\n                posB--;\n            }\n            return { a: posA, b: posB };\n        }\n        if (childA.content.size || childB.content.size) {\n            let inner = findDiffEnd(childA.content, childB.content, posA - 1, posB - 1);\n            if (inner)\n                return inner;\n        }\n        posA -= size;\n        posB -= size;\n    }\n}\n\n/**\nA fragment represents a node's collection of child nodes.\n\nLike nodes, fragments are persistent data structures, and you\nshould not mutate them or their content. Rather, you create new\ninstances whenever needed. The API tries to make this easy.\n*/\nclass Fragment {\n    /**\n    @internal\n    */\n    constructor(\n    /**\n    @internal\n    */\n    content, size) {\n        this.content = content;\n        this.size = size || 0;\n        if (size == null)\n            for (let i = 0; i < content.length; i++)\n                this.size += content[i].nodeSize;\n    }\n    /**\n    Invoke a callback for all descendant nodes between the given two\n    positions (relative to start of this fragment). Doesn't descend\n    into a node when the callback returns `false`.\n    */\n    nodesBetween(from, to, f, nodeStart = 0, parent) {\n        for (let i = 0, pos = 0; pos < to; i++) {\n            let child = this.content[i], end = pos + child.nodeSize;\n            if (end > from && f(child, nodeStart + pos, parent || null, i) !== false && child.content.size) {\n                let start = pos + 1;\n                child.nodesBetween(Math.max(0, from - start), Math.min(child.content.size, to - start), f, nodeStart + start);\n            }\n            pos = end;\n        }\n    }\n    /**\n    Call the given callback for every descendant node. `pos` will be\n    relative to the start of the fragment. The callback may return\n    `false` to prevent traversal of a given node's children.\n    */\n    descendants(f) {\n        this.nodesBetween(0, this.size, f);\n    }\n    /**\n    Extract the text between `from` and `to`. See the same method on\n    [`Node`](https://prosemirror.net/docs/ref/#model.Node.textBetween).\n    */\n    textBetween(from, to, blockSeparator, leafText) {\n        let text = \"\", first = true;\n        this.nodesBetween(from, to, (node, pos) => {\n            let nodeText = node.isText ? node.text.slice(Math.max(from, pos) - pos, to - pos)\n                : !node.isLeaf ? \"\"\n                    : leafText ? (typeof leafText === \"function\" ? leafText(node) : leafText)\n                        : node.type.spec.leafText ? node.type.spec.leafText(node)\n                            : \"\";\n            if (node.isBlock && (node.isLeaf && nodeText || node.isTextblock) && blockSeparator) {\n                if (first)\n                    first = false;\n                else\n                    text += blockSeparator;\n            }\n            text += nodeText;\n        }, 0);\n        return text;\n    }\n    /**\n    Create a new fragment containing the combined content of this\n    fragment and the other.\n    */\n    append(other) {\n        if (!other.size)\n            return this;\n        if (!this.size)\n            return other;\n        let last = this.lastChild, first = other.firstChild, content = this.content.slice(), i = 0;\n        if (last.isText && last.sameMarkup(first)) {\n            content[content.length - 1] = last.withText(last.text + first.text);\n            i = 1;\n        }\n        for (; i < other.content.length; i++)\n            content.push(other.content[i]);\n        return new Fragment(content, this.size + other.size);\n    }\n    /**\n    Cut out the sub-fragment between the two given positions.\n    */\n    cut(from, to = this.size) {\n        if (from == 0 && to == this.size)\n            return this;\n        let result = [], size = 0;\n        if (to > from)\n            for (let i = 0, pos = 0; pos < to; i++) {\n                let child = this.content[i], end = pos + child.nodeSize;\n                if (end > from) {\n                    if (pos < from || end > to) {\n                        if (child.isText)\n                            child = child.cut(Math.max(0, from - pos), Math.min(child.text.length, to - pos));\n                        else\n                            child = child.cut(Math.max(0, from - pos - 1), Math.min(child.content.size, to - pos - 1));\n                    }\n                    result.push(child);\n                    size += child.nodeSize;\n                }\n                pos = end;\n            }\n        return new Fragment(result, size);\n    }\n    /**\n    @internal\n    */\n    cutByIndex(from, to) {\n        if (from == to)\n            return Fragment.empty;\n        if (from == 0 && to == this.content.length)\n            return this;\n        return new Fragment(this.content.slice(from, to));\n    }\n    /**\n    Create a new fragment in which the node at the given index is\n    replaced by the given node.\n    */\n    replaceChild(index, node) {\n        let current = this.content[index];\n        if (current == node)\n            return this;\n        let copy = this.content.slice();\n        let size = this.size + node.nodeSize - current.nodeSize;\n        copy[index] = node;\n        return new Fragment(copy, size);\n    }\n    /**\n    Create a new fragment by prepending the given node to this\n    fragment.\n    */\n    addToStart(node) {\n        return new Fragment([node].concat(this.content), this.size + node.nodeSize);\n    }\n    /**\n    Create a new fragment by appending the given node to this\n    fragment.\n    */\n    addToEnd(node) {\n        return new Fragment(this.content.concat(node), this.size + node.nodeSize);\n    }\n    /**\n    Compare this fragment to another one.\n    */\n    eq(other) {\n        if (this.content.length != other.content.length)\n            return false;\n        for (let i = 0; i < this.content.length; i++)\n            if (!this.content[i].eq(other.content[i]))\n                return false;\n        return true;\n    }\n    /**\n    The first child of the fragment, or `null` if it is empty.\n    */\n    get firstChild() { return this.content.length ? this.content[0] : null; }\n    /**\n    The last child of the fragment, or `null` if it is empty.\n    */\n    get lastChild() { return this.content.length ? this.content[this.content.length - 1] : null; }\n    /**\n    The number of child nodes in this fragment.\n    */\n    get childCount() { return this.content.length; }\n    /**\n    Get the child node at the given index. Raise an error when the\n    index is out of range.\n    */\n    child(index) {\n        let found = this.content[index];\n        if (!found)\n            throw new RangeError(\"Index \" + index + \" out of range for \" + this);\n        return found;\n    }\n    /**\n    Get the child node at the given index, if it exists.\n    */\n    maybeChild(index) {\n        return this.content[index] || null;\n    }\n    /**\n    Call `f` for every child node, passing the node, its offset\n    into this parent node, and its index.\n    */\n    forEach(f) {\n        for (let i = 0, p = 0; i < this.content.length; i++) {\n            let child = this.content[i];\n            f(child, p, i);\n            p += child.nodeSize;\n        }\n    }\n    /**\n    Find the first position at which this fragment and another\n    fragment differ, or `null` if they are the same.\n    */\n    findDiffStart(other, pos = 0) {\n        return findDiffStart(this, other, pos);\n    }\n    /**\n    Find the first position, searching from the end, at which this\n    fragment and the given fragment differ, or `null` if they are\n    the same. Since this position will not be the same in both\n    nodes, an object with two separate positions is returned.\n    */\n    findDiffEnd(other, pos = this.size, otherPos = other.size) {\n        return findDiffEnd(this, other, pos, otherPos);\n    }\n    /**\n    Find the index and inner offset corresponding to a given relative\n    position in this fragment. The result object will be reused\n    (overwritten) the next time the function is called. (Not public.)\n    */\n    findIndex(pos, round = -1) {\n        if (pos == 0)\n            return retIndex(0, pos);\n        if (pos == this.size)\n            return retIndex(this.content.length, pos);\n        if (pos > this.size || pos < 0)\n            throw new RangeError(`Position ${pos} outside of fragment (${this})`);\n        for (let i = 0, curPos = 0;; i++) {\n            let cur = this.child(i), end = curPos + cur.nodeSize;\n            if (end >= pos) {\n                if (end == pos || round > 0)\n                    return retIndex(i + 1, end);\n                return retIndex(i, curPos);\n            }\n            curPos = end;\n        }\n    }\n    /**\n    Return a debugging string that describes this fragment.\n    */\n    toString() { return \"<\" + this.toStringInner() + \">\"; }\n    /**\n    @internal\n    */\n    toStringInner() { return this.content.join(\", \"); }\n    /**\n    Create a JSON-serializeable representation of this fragment.\n    */\n    toJSON() {\n        return this.content.length ? this.content.map(n => n.toJSON()) : null;\n    }\n    /**\n    Deserialize a fragment from its JSON representation.\n    */\n    static fromJSON(schema, value) {\n        if (!value)\n            return Fragment.empty;\n        if (!Array.isArray(value))\n            throw new RangeError(\"Invalid input for Fragment.fromJSON\");\n        return new Fragment(value.map(schema.nodeFromJSON));\n    }\n    /**\n    Build a fragment from an array of nodes. Ensures that adjacent\n    text nodes with the same marks are joined together.\n    */\n    static fromArray(array) {\n        if (!array.length)\n            return Fragment.empty;\n        let joined, size = 0;\n        for (let i = 0; i < array.length; i++) {\n            let node = array[i];\n            size += node.nodeSize;\n            if (i && node.isText && array[i - 1].sameMarkup(node)) {\n                if (!joined)\n                    joined = array.slice(0, i);\n                joined[joined.length - 1] = node\n                    .withText(joined[joined.length - 1].text + node.text);\n            }\n            else if (joined) {\n                joined.push(node);\n            }\n        }\n        return new Fragment(joined || array, size);\n    }\n    /**\n    Create a fragment from something that can be interpreted as a\n    set of nodes. For `null`, it returns the empty fragment. For a\n    fragment, the fragment itself. For a node or array of nodes, a\n    fragment containing those nodes.\n    */\n    static from(nodes) {\n        if (!nodes)\n            return Fragment.empty;\n        if (nodes instanceof Fragment)\n            return nodes;\n        if (Array.isArray(nodes))\n            return this.fromArray(nodes);\n        if (nodes.attrs)\n            return new Fragment([nodes], nodes.nodeSize);\n        throw new RangeError(\"Can not convert \" + nodes + \" to a Fragment\" +\n            (nodes.nodesBetween ? \" (looks like multiple versions of prosemirror-model were loaded)\" : \"\"));\n    }\n}\n/**\nAn empty fragment. Intended to be reused whenever a node doesn't\ncontain anything (rather than allocating a new empty fragment for\neach leaf node).\n*/\nFragment.empty = new Fragment([], 0);\nconst found = { index: 0, offset: 0 };\nfunction retIndex(index, offset) {\n    found.index = index;\n    found.offset = offset;\n    return found;\n}\n\nfunction compareDeep(a, b) {\n    if (a === b)\n        return true;\n    if (!(a && typeof a == \"object\") ||\n        !(b && typeof b == \"object\"))\n        return false;\n    let array = Array.isArray(a);\n    if (Array.isArray(b) != array)\n        return false;\n    if (array) {\n        if (a.length != b.length)\n            return false;\n        for (let i = 0; i < a.length; i++)\n            if (!compareDeep(a[i], b[i]))\n                return false;\n    }\n    else {\n        for (let p in a)\n            if (!(p in b) || !compareDeep(a[p], b[p]))\n                return false;\n        for (let p in b)\n            if (!(p in a))\n                return false;\n    }\n    return true;\n}\n\n/**\nA mark is a piece of information that can be attached to a node,\nsuch as it being emphasized, in code font, or a link. It has a\ntype and optionally a set of attributes that provide further\ninformation (such as the target of the link). Marks are created\nthrough a `Schema`, which controls which types exist and which\nattributes they have.\n*/\nclass Mark {\n    /**\n    @internal\n    */\n    constructor(\n    /**\n    The type of this mark.\n    */\n    type, \n    /**\n    The attributes associated with this mark.\n    */\n    attrs) {\n        this.type = type;\n        this.attrs = attrs;\n    }\n    /**\n    Given a set of marks, create a new set which contains this one as\n    well, in the right position. If this mark is already in the set,\n    the set itself is returned. If any marks that are set to be\n    [exclusive](https://prosemirror.net/docs/ref/#model.MarkSpec.excludes) with this mark are present,\n    those are replaced by this one.\n    */\n    addToSet(set) {\n        let copy, placed = false;\n        for (let i = 0; i < set.length; i++) {\n            let other = set[i];\n            if (this.eq(other))\n                return set;\n            if (this.type.excludes(other.type)) {\n                if (!copy)\n                    copy = set.slice(0, i);\n            }\n            else if (other.type.excludes(this.type)) {\n                return set;\n            }\n            else {\n                if (!placed && other.type.rank > this.type.rank) {\n                    if (!copy)\n                        copy = set.slice(0, i);\n                    copy.push(this);\n                    placed = true;\n                }\n                if (copy)\n                    copy.push(other);\n            }\n        }\n        if (!copy)\n            copy = set.slice();\n        if (!placed)\n            copy.push(this);\n        return copy;\n    }\n    /**\n    Remove this mark from the given set, returning a new set. If this\n    mark is not in the set, the set itself is returned.\n    */\n    removeFromSet(set) {\n        for (let i = 0; i < set.length; i++)\n            if (this.eq(set[i]))\n                return set.slice(0, i).concat(set.slice(i + 1));\n        return set;\n    }\n    /**\n    Test whether this mark is in the given set of marks.\n    */\n    isInSet(set) {\n        for (let i = 0; i < set.length; i++)\n            if (this.eq(set[i]))\n                return true;\n        return false;\n    }\n    /**\n    Test whether this mark has the same type and attributes as\n    another mark.\n    */\n    eq(other) {\n        return this == other ||\n            (this.type == other.type && compareDeep(this.attrs, other.attrs));\n    }\n    /**\n    Convert this mark to a JSON-serializeable representation.\n    */\n    toJSON() {\n        let obj = { type: this.type.name };\n        for (let _ in this.attrs) {\n            obj.attrs = this.attrs;\n            break;\n        }\n        return obj;\n    }\n    /**\n    Deserialize a mark from JSON.\n    */\n    static fromJSON(schema, json) {\n        if (!json)\n            throw new RangeError(\"Invalid input for Mark.fromJSON\");\n        let type = schema.marks[json.type];\n        if (!type)\n            throw new RangeError(`There is no mark type ${json.type} in this schema`);\n        return type.create(json.attrs);\n    }\n    /**\n    Test whether two sets of marks are identical.\n    */\n    static sameSet(a, b) {\n        if (a == b)\n            return true;\n        if (a.length != b.length)\n            return false;\n        for (let i = 0; i < a.length; i++)\n            if (!a[i].eq(b[i]))\n                return false;\n        return true;\n    }\n    /**\n    Create a properly sorted mark set from null, a single mark, or an\n    unsorted array of marks.\n    */\n    static setFrom(marks) {\n        if (!marks || Array.isArray(marks) && marks.length == 0)\n            return Mark.none;\n        if (marks instanceof Mark)\n            return [marks];\n        let copy = marks.slice();\n        copy.sort((a, b) => a.type.rank - b.type.rank);\n        return copy;\n    }\n}\n/**\nThe empty set of marks.\n*/\nMark.none = [];\n\n/**\nError type raised by [`Node.replace`](https://prosemirror.net/docs/ref/#model.Node.replace) when\ngiven an invalid replacement.\n*/\nclass ReplaceError extends Error {\n}\n/*\nReplaceError = function(this: any, message: string) {\n  let err = Error.call(this, message)\n  ;(err as any).__proto__ = ReplaceError.prototype\n  return err\n} as any\n\nReplaceError.prototype = Object.create(Error.prototype)\nReplaceError.prototype.constructor = ReplaceError\nReplaceError.prototype.name = \"ReplaceError\"\n*/\n/**\nA slice represents a piece cut out of a larger document. It\nstores not only a fragment, but also the depth up to which nodes on\nboth side are ‘open’ (cut through).\n*/\nclass Slice {\n    /**\n    Create a slice. When specifying a non-zero open depth, you must\n    make sure that there are nodes of at least that depth at the\n    appropriate side of the fragment—i.e. if the fragment is an\n    empty paragraph node, `openStart` and `openEnd` can't be greater\n    than 1.\n    \n    It is not necessary for the content of open nodes to conform to\n    the schema's content constraints, though it should be a valid\n    start/end/middle for such a node, depending on which sides are\n    open.\n    */\n    constructor(\n    /**\n    The slice's content.\n    */\n    content, \n    /**\n    The open depth at the start of the fragment.\n    */\n    openStart, \n    /**\n    The open depth at the end.\n    */\n    openEnd) {\n        this.content = content;\n        this.openStart = openStart;\n        this.openEnd = openEnd;\n    }\n    /**\n    The size this slice would add when inserted into a document.\n    */\n    get size() {\n        return this.content.size - this.openStart - this.openEnd;\n    }\n    /**\n    @internal\n    */\n    insertAt(pos, fragment) {\n        let content = insertInto(this.content, pos + this.openStart, fragment);\n        return content && new Slice(content, this.openStart, this.openEnd);\n    }\n    /**\n    @internal\n    */\n    removeBetween(from, to) {\n        return new Slice(removeRange(this.content, from + this.openStart, to + this.openStart), this.openStart, this.openEnd);\n    }\n    /**\n    Tests whether this slice is equal to another slice.\n    */\n    eq(other) {\n        return this.content.eq(other.content) && this.openStart == other.openStart && this.openEnd == other.openEnd;\n    }\n    /**\n    @internal\n    */\n    toString() {\n        return this.content + \"(\" + this.openStart + \",\" + this.openEnd + \")\";\n    }\n    /**\n    Convert a slice to a JSON-serializable representation.\n    */\n    toJSON() {\n        if (!this.content.size)\n            return null;\n        let json = { content: this.content.toJSON() };\n        if (this.openStart > 0)\n            json.openStart = this.openStart;\n        if (this.openEnd > 0)\n            json.openEnd = this.openEnd;\n        return json;\n    }\n    /**\n    Deserialize a slice from its JSON representation.\n    */\n    static fromJSON(schema, json) {\n        if (!json)\n            return Slice.empty;\n        let openStart = json.openStart || 0, openEnd = json.openEnd || 0;\n        if (typeof openStart != \"number\" || typeof openEnd != \"number\")\n            throw new RangeError(\"Invalid input for Slice.fromJSON\");\n        return new Slice(Fragment.fromJSON(schema, json.content), openStart, openEnd);\n    }\n    /**\n    Create a slice from a fragment by taking the maximum possible\n    open value on both side of the fragment.\n    */\n    static maxOpen(fragment, openIsolating = true) {\n        let openStart = 0, openEnd = 0;\n        for (let n = fragment.firstChild; n && !n.isLeaf && (openIsolating || !n.type.spec.isolating); n = n.firstChild)\n            openStart++;\n        for (let n = fragment.lastChild; n && !n.isLeaf && (openIsolating || !n.type.spec.isolating); n = n.lastChild)\n            openEnd++;\n        return new Slice(fragment, openStart, openEnd);\n    }\n}\n/**\nThe empty slice.\n*/\nSlice.empty = new Slice(Fragment.empty, 0, 0);\nfunction removeRange(content, from, to) {\n    let { index, offset } = content.findIndex(from), child = content.maybeChild(index);\n    let { index: indexTo, offset: offsetTo } = content.findIndex(to);\n    if (offset == from || child.isText) {\n        if (offsetTo != to && !content.child(indexTo).isText)\n            throw new RangeError(\"Removing non-flat range\");\n        return content.cut(0, from).append(content.cut(to));\n    }\n    if (index != indexTo)\n        throw new RangeError(\"Removing non-flat range\");\n    return content.replaceChild(index, child.copy(removeRange(child.content, from - offset - 1, to - offset - 1)));\n}\nfunction insertInto(content, dist, insert, parent) {\n    let { index, offset } = content.findIndex(dist), child = content.maybeChild(index);\n    if (offset == dist || child.isText) {\n        if (parent && !parent.canReplace(index, index, insert))\n            return null;\n        return content.cut(0, dist).append(insert).append(content.cut(dist));\n    }\n    let inner = insertInto(child.content, dist - offset - 1, insert);\n    return inner && content.replaceChild(index, child.copy(inner));\n}\nfunction replace($from, $to, slice) {\n    if (slice.openStart > $from.depth)\n        throw new ReplaceError(\"Inserted content deeper than insertion position\");\n    if ($from.depth - slice.openStart != $to.depth - slice.openEnd)\n        throw new ReplaceError(\"Inconsistent open depths\");\n    return replaceOuter($from, $to, slice, 0);\n}\nfunction replaceOuter($from, $to, slice, depth) {\n    let index = $from.index(depth), node = $from.node(depth);\n    if (index == $to.index(depth) && depth < $from.depth - slice.openStart) {\n        let inner = replaceOuter($from, $to, slice, depth + 1);\n        return node.copy(node.content.replaceChild(index, inner));\n    }\n    else if (!slice.content.size) {\n        return close(node, replaceTwoWay($from, $to, depth));\n    }\n    else if (!slice.openStart && !slice.openEnd && $from.depth == depth && $to.depth == depth) { // Simple, flat case\n        let parent = $from.parent, content = parent.content;\n        return close(parent, content.cut(0, $from.parentOffset).append(slice.content).append(content.cut($to.parentOffset)));\n    }\n    else {\n        let { start, end } = prepareSliceForReplace(slice, $from);\n        return close(node, replaceThreeWay($from, start, end, $to, depth));\n    }\n}\nfunction checkJoin(main, sub) {\n    if (!sub.type.compatibleContent(main.type))\n        throw new ReplaceError(\"Cannot join \" + sub.type.name + \" onto \" + main.type.name);\n}\nfunction joinable($before, $after, depth) {\n    let node = $before.node(depth);\n    checkJoin(node, $after.node(depth));\n    return node;\n}\nfunction addNode(child, target) {\n    let last = target.length - 1;\n    if (last >= 0 && child.isText && child.sameMarkup(target[last]))\n        target[last] = child.withText(target[last].text + child.text);\n    else\n        target.push(child);\n}\nfunction addRange($start, $end, depth, target) {\n    let node = ($end || $start).node(depth);\n    let startIndex = 0, endIndex = $end ? $end.index(depth) : node.childCount;\n    if ($start) {\n        startIndex = $start.index(depth);\n        if ($start.depth > depth) {\n            startIndex++;\n        }\n        else if ($start.textOffset) {\n            addNode($start.nodeAfter, target);\n            startIndex++;\n        }\n    }\n    for (let i = startIndex; i < endIndex; i++)\n        addNode(node.child(i), target);\n    if ($end && $end.depth == depth && $end.textOffset)\n        addNode($end.nodeBefore, target);\n}\nfunction close(node, content) {\n    node.type.checkContent(content);\n    return node.copy(content);\n}\nfunction replaceThreeWay($from, $start, $end, $to, depth) {\n    let openStart = $from.depth > depth && joinable($from, $start, depth + 1);\n    let openEnd = $to.depth > depth && joinable($end, $to, depth + 1);\n    let content = [];\n    addRange(null, $from, depth, content);\n    if (openStart && openEnd && $start.index(depth) == $end.index(depth)) {\n        checkJoin(openStart, openEnd);\n        addNode(close(openStart, replaceThreeWay($from, $start, $end, $to, depth + 1)), content);\n    }\n    else {\n        if (openStart)\n            addNode(close(openStart, replaceTwoWay($from, $start, depth + 1)), content);\n        addRange($start, $end, depth, content);\n        if (openEnd)\n            addNode(close(openEnd, replaceTwoWay($end, $to, depth + 1)), content);\n    }\n    addRange($to, null, depth, content);\n    return new Fragment(content);\n}\nfunction replaceTwoWay($from, $to, depth) {\n    let content = [];\n    addRange(null, $from, depth, content);\n    if ($from.depth > depth) {\n        let type = joinable($from, $to, depth + 1);\n        addNode(close(type, replaceTwoWay($from, $to, depth + 1)), content);\n    }\n    addRange($to, null, depth, content);\n    return new Fragment(content);\n}\nfunction prepareSliceForReplace(slice, $along) {\n    let extra = $along.depth - slice.openStart, parent = $along.node(extra);\n    let node = parent.copy(slice.content);\n    for (let i = extra - 1; i >= 0; i--)\n        node = $along.node(i).copy(Fragment.from(node));\n    return { start: node.resolveNoCache(slice.openStart + extra),\n        end: node.resolveNoCache(node.content.size - slice.openEnd - extra) };\n}\n\n/**\nYou can [_resolve_](https://prosemirror.net/docs/ref/#model.Node.resolve) a position to get more\ninformation about it. Objects of this class represent such a\nresolved position, providing various pieces of context\ninformation, and some helper methods.\n\nThroughout this interface, methods that take an optional `depth`\nparameter will interpret undefined as `this.depth` and negative\nnumbers as `this.depth + value`.\n*/\nclass ResolvedPos {\n    /**\n    @internal\n    */\n    constructor(\n    /**\n    The position that was resolved.\n    */\n    pos, \n    /**\n    @internal\n    */\n    path, \n    /**\n    The offset this position has into its parent node.\n    */\n    parentOffset) {\n        this.pos = pos;\n        this.path = path;\n        this.parentOffset = parentOffset;\n        this.depth = path.length / 3 - 1;\n    }\n    /**\n    @internal\n    */\n    resolveDepth(val) {\n        if (val == null)\n            return this.depth;\n        if (val < 0)\n            return this.depth + val;\n        return val;\n    }\n    /**\n    The parent node that the position points into. Note that even if\n    a position points into a text node, that node is not considered\n    the parent—text nodes are ‘flat’ in this model, and have no content.\n    */\n    get parent() { return this.node(this.depth); }\n    /**\n    The root node in which the position was resolved.\n    */\n    get doc() { return this.node(0); }\n    /**\n    The ancestor node at the given level. `p.node(p.depth)` is the\n    same as `p.parent`.\n    */\n    node(depth) { return this.path[this.resolveDepth(depth) * 3]; }\n    /**\n    The index into the ancestor at the given level. If this points\n    at the 3rd node in the 2nd paragraph on the top level, for\n    example, `p.index(0)` is 1 and `p.index(1)` is 2.\n    */\n    index(depth) { return this.path[this.resolveDepth(depth) * 3 + 1]; }\n    /**\n    The index pointing after this position into the ancestor at the\n    given level.\n    */\n    indexAfter(depth) {\n        depth = this.resolveDepth(depth);\n        return this.index(depth) + (depth == this.depth && !this.textOffset ? 0 : 1);\n    }\n    /**\n    The (absolute) position at the start of the node at the given\n    level.\n    */\n    start(depth) {\n        depth = this.resolveDepth(depth);\n        return depth == 0 ? 0 : this.path[depth * 3 - 1] + 1;\n    }\n    /**\n    The (absolute) position at the end of the node at the given\n    level.\n    */\n    end(depth) {\n        depth = this.resolveDepth(depth);\n        return this.start(depth) + this.node(depth).content.size;\n    }\n    /**\n    The (absolute) position directly before the wrapping node at the\n    given level, or, when `depth` is `this.depth + 1`, the original\n    position.\n    */\n    before(depth) {\n        depth = this.resolveDepth(depth);\n        if (!depth)\n            throw new RangeError(\"There is no position before the top-level node\");\n        return depth == this.depth + 1 ? this.pos : this.path[depth * 3 - 1];\n    }\n    /**\n    The (absolute) position directly after the wrapping node at the\n    given level, or the original position when `depth` is `this.depth + 1`.\n    */\n    after(depth) {\n        depth = this.resolveDepth(depth);\n        if (!depth)\n            throw new RangeError(\"There is no position after the top-level node\");\n        return depth == this.depth + 1 ? this.pos : this.path[depth * 3 - 1] + this.path[depth * 3].nodeSize;\n    }\n    /**\n    When this position points into a text node, this returns the\n    distance between the position and the start of the text node.\n    Will be zero for positions that point between nodes.\n    */\n    get textOffset() { return this.pos - this.path[this.path.length - 1]; }\n    /**\n    Get the node directly after the position, if any. If the position\n    points into a text node, only the part of that node after the\n    position is returned.\n    */\n    get nodeAfter() {\n        let parent = this.parent, index = this.index(this.depth);\n        if (index == parent.childCount)\n            return null;\n        let dOff = this.pos - this.path[this.path.length - 1], child = parent.child(index);\n        return dOff ? parent.child(index).cut(dOff) : child;\n    }\n    /**\n    Get the node directly before the position, if any. If the\n    position points into a text node, only the part of that node\n    before the position is returned.\n    */\n    get nodeBefore() {\n        let index = this.index(this.depth);\n        let dOff = this.pos - this.path[this.path.length - 1];\n        if (dOff)\n            return this.parent.child(index).cut(0, dOff);\n        return index == 0 ? null : this.parent.child(index - 1);\n    }\n    /**\n    Get the position at the given index in the parent node at the\n    given depth (which defaults to `this.depth`).\n    */\n    posAtIndex(index, depth) {\n        depth = this.resolveDepth(depth);\n        let node = this.path[depth * 3], pos = depth == 0 ? 0 : this.path[depth * 3 - 1] + 1;\n        for (let i = 0; i < index; i++)\n            pos += node.child(i).nodeSize;\n        return pos;\n    }\n    /**\n    Get the marks at this position, factoring in the surrounding\n    marks' [`inclusive`](https://prosemirror.net/docs/ref/#model.MarkSpec.inclusive) property. If the\n    position is at the start of a non-empty node, the marks of the\n    node after it (if any) are returned.\n    */\n    marks() {\n        let parent = this.parent, index = this.index();\n        // In an empty parent, return the empty array\n        if (parent.content.size == 0)\n            return Mark.none;\n        // When inside a text node, just return the text node's marks\n        if (this.textOffset)\n            return parent.child(index).marks;\n        let main = parent.maybeChild(index - 1), other = parent.maybeChild(index);\n        // If the `after` flag is true of there is no node before, make\n        // the node after this position the main reference.\n        if (!main) {\n            let tmp = main;\n            main = other;\n            other = tmp;\n        }\n        // Use all marks in the main node, except those that have\n        // `inclusive` set to false and are not present in the other node.\n        let marks = main.marks;\n        for (var i = 0; i < marks.length; i++)\n            if (marks[i].type.spec.inclusive === false && (!other || !marks[i].isInSet(other.marks)))\n                marks = marks[i--].removeFromSet(marks);\n        return marks;\n    }\n    /**\n    Get the marks after the current position, if any, except those\n    that are non-inclusive and not present at position `$end`. This\n    is mostly useful for getting the set of marks to preserve after a\n    deletion. Will return `null` if this position is at the end of\n    its parent node or its parent node isn't a textblock (in which\n    case no marks should be preserved).\n    */\n    marksAcross($end) {\n        let after = this.parent.maybeChild(this.index());\n        if (!after || !after.isInline)\n            return null;\n        let marks = after.marks, next = $end.parent.maybeChild($end.index());\n        for (var i = 0; i < marks.length; i++)\n            if (marks[i].type.spec.inclusive === false && (!next || !marks[i].isInSet(next.marks)))\n                marks = marks[i--].removeFromSet(marks);\n        return marks;\n    }\n    /**\n    The depth up to which this position and the given (non-resolved)\n    position share the same parent nodes.\n    */\n    sharedDepth(pos) {\n        for (let depth = this.depth; depth > 0; depth--)\n            if (this.start(depth) <= pos && this.end(depth) >= pos)\n                return depth;\n        return 0;\n    }\n    /**\n    Returns a range based on the place where this position and the\n    given position diverge around block content. If both point into\n    the same textblock, for example, a range around that textblock\n    will be returned. If they point into different blocks, the range\n    around those blocks in their shared ancestor is returned. You can\n    pass in an optional predicate that will be called with a parent\n    node to see if a range into that parent is acceptable.\n    */\n    blockRange(other = this, pred) {\n        if (other.pos < this.pos)\n            return other.blockRange(this);\n        for (let d = this.depth - (this.parent.inlineContent || this.pos == other.pos ? 1 : 0); d >= 0; d--)\n            if (other.pos <= this.end(d) && (!pred || pred(this.node(d))))\n                return new NodeRange(this, other, d);\n        return null;\n    }\n    /**\n    Query whether the given position shares the same parent node.\n    */\n    sameParent(other) {\n        return this.pos - this.parentOffset == other.pos - other.parentOffset;\n    }\n    /**\n    Return the greater of this and the given position.\n    */\n    max(other) {\n        return other.pos > this.pos ? other : this;\n    }\n    /**\n    Return the smaller of this and the given position.\n    */\n    min(other) {\n        return other.pos < this.pos ? other : this;\n    }\n    /**\n    @internal\n    */\n    toString() {\n        let str = \"\";\n        for (let i = 1; i <= this.depth; i++)\n            str += (str ? \"/\" : \"\") + this.node(i).type.name + \"_\" + this.index(i - 1);\n        return str + \":\" + this.parentOffset;\n    }\n    /**\n    @internal\n    */\n    static resolve(doc, pos) {\n        if (!(pos >= 0 && pos <= doc.content.size))\n            throw new RangeError(\"Position \" + pos + \" out of range\");\n        let path = [];\n        let start = 0, parentOffset = pos;\n        for (let node = doc;;) {\n            let { index, offset } = node.content.findIndex(parentOffset);\n            let rem = parentOffset - offset;\n            path.push(node, index, start + offset);\n            if (!rem)\n                break;\n            node = node.child(index);\n            if (node.isText)\n                break;\n            parentOffset = rem - 1;\n            start += offset + 1;\n        }\n        return new ResolvedPos(pos, path, parentOffset);\n    }\n    /**\n    @internal\n    */\n    static resolveCached(doc, pos) {\n        for (let i = 0; i < resolveCache.length; i++) {\n            let cached = resolveCache[i];\n            if (cached.pos == pos && cached.doc == doc)\n                return cached;\n        }\n        let result = resolveCache[resolveCachePos] = ResolvedPos.resolve(doc, pos);\n        resolveCachePos = (resolveCachePos + 1) % resolveCacheSize;\n        return result;\n    }\n}\nlet resolveCache = [], resolveCachePos = 0, resolveCacheSize = 12;\n/**\nRepresents a flat range of content, i.e. one that starts and\nends in the same node.\n*/\nclass NodeRange {\n    /**\n    Construct a node range. `$from` and `$to` should point into the\n    same node until at least the given `depth`, since a node range\n    denotes an adjacent set of nodes in a single parent node.\n    */\n    constructor(\n    /**\n    A resolved position along the start of the content. May have a\n    `depth` greater than this object's `depth` property, since\n    these are the positions that were used to compute the range,\n    not re-resolved positions directly at its boundaries.\n    */\n    $from, \n    /**\n    A position along the end of the content. See\n    caveat for [`$from`](https://prosemirror.net/docs/ref/#model.NodeRange.$from).\n    */\n    $to, \n    /**\n    The depth of the node that this range points into.\n    */\n    depth) {\n        this.$from = $from;\n        this.$to = $to;\n        this.depth = depth;\n    }\n    /**\n    The position at the start of the range.\n    */\n    get start() { return this.$from.before(this.depth + 1); }\n    /**\n    The position at the end of the range.\n    */\n    get end() { return this.$to.after(this.depth + 1); }\n    /**\n    The parent node that the range points into.\n    */\n    get parent() { return this.$from.node(this.depth); }\n    /**\n    The start index of the range in the parent node.\n    */\n    get startIndex() { return this.$from.index(this.depth); }\n    /**\n    The end index of the range in the parent node.\n    */\n    get endIndex() { return this.$to.indexAfter(this.depth); }\n}\n\nconst emptyAttrs = Object.create(null);\n/**\nThis class represents a node in the tree that makes up a\nProseMirror document. So a document is an instance of `Node`, with\nchildren that are also instances of `Node`.\n\nNodes are persistent data structures. Instead of changing them, you\ncreate new ones with the content you want. Old ones keep pointing\nat the old document shape. This is made cheaper by sharing\nstructure between the old and new data as much as possible, which a\ntree shape like this (without back pointers) makes easy.\n\n**Do not** directly mutate the properties of a `Node` object. See\n[the guide](/docs/guide/#doc) for more information.\n*/\nclass Node {\n    /**\n    @internal\n    */\n    constructor(\n    /**\n    The type of node that this is.\n    */\n    type, \n    /**\n    An object mapping attribute names to values. The kind of\n    attributes allowed and required are\n    [determined](https://prosemirror.net/docs/ref/#model.NodeSpec.attrs) by the node type.\n    */\n    attrs, \n    // A fragment holding the node's children.\n    content, \n    /**\n    The marks (things like whether it is emphasized or part of a\n    link) applied to this node.\n    */\n    marks = Mark.none) {\n        this.type = type;\n        this.attrs = attrs;\n        this.marks = marks;\n        this.content = content || Fragment.empty;\n    }\n    /**\n    The size of this node, as defined by the integer-based [indexing\n    scheme](/docs/guide/#doc.indexing). For text nodes, this is the\n    amount of characters. For other leaf nodes, it is one. For\n    non-leaf nodes, it is the size of the content plus two (the\n    start and end token).\n    */\n    get nodeSize() { return this.isLeaf ? 1 : 2 + this.content.size; }\n    /**\n    The number of children that the node has.\n    */\n    get childCount() { return this.content.childCount; }\n    /**\n    Get the child node at the given index. Raises an error when the\n    index is out of range.\n    */\n    child(index) { return this.content.child(index); }\n    /**\n    Get the child node at the given index, if it exists.\n    */\n    maybeChild(index) { return this.content.maybeChild(index); }\n    /**\n    Call `f` for every child node, passing the node, its offset\n    into this parent node, and its index.\n    */\n    forEach(f) { this.content.forEach(f); }\n    /**\n    Invoke a callback for all descendant nodes recursively between\n    the given two positions that are relative to start of this\n    node's content. The callback is invoked with the node, its\n    position relative to the original node (method receiver),\n    its parent node, and its child index. When the callback returns\n    false for a given node, that node's children will not be\n    recursed over. The last parameter can be used to specify a\n    starting position to count from.\n    */\n    nodesBetween(from, to, f, startPos = 0) {\n        this.content.nodesBetween(from, to, f, startPos, this);\n    }\n    /**\n    Call the given callback for every descendant node. Doesn't\n    descend into a node when the callback returns `false`.\n    */\n    descendants(f) {\n        this.nodesBetween(0, this.content.size, f);\n    }\n    /**\n    Concatenates all the text nodes found in this fragment and its\n    children.\n    */\n    get textContent() {\n        return (this.isLeaf && this.type.spec.leafText)\n            ? this.type.spec.leafText(this)\n            : this.textBetween(0, this.content.size, \"\");\n    }\n    /**\n    Get all text between positions `from` and `to`. When\n    `blockSeparator` is given, it will be inserted to separate text\n    from different block nodes. If `leafText` is given, it'll be\n    inserted for every non-text leaf node encountered, otherwise\n    [`leafText`](https://prosemirror.net/docs/ref/#model.NodeSpec^leafText) will be used.\n    */\n    textBetween(from, to, blockSeparator, leafText) {\n        return this.content.textBetween(from, to, blockSeparator, leafText);\n    }\n    /**\n    Returns this node's first child, or `null` if there are no\n    children.\n    */\n    get firstChild() { return this.content.firstChild; }\n    /**\n    Returns this node's last child, or `null` if there are no\n    children.\n    */\n    get lastChild() { return this.content.lastChild; }\n    /**\n    Test whether two nodes represent the same piece of document.\n    */\n    eq(other) {\n        return this == other || (this.sameMarkup(other) && this.content.eq(other.content));\n    }\n    /**\n    Compare the markup (type, attributes, and marks) of this node to\n    those of another. Returns `true` if both have the same markup.\n    */\n    sameMarkup(other) {\n        return this.hasMarkup(other.type, other.attrs, other.marks);\n    }\n    /**\n    Check whether this node's markup correspond to the given type,\n    attributes, and marks.\n    */\n    hasMarkup(type, attrs, marks) {\n        return this.type == type &&\n            compareDeep(this.attrs, attrs || type.defaultAttrs || emptyAttrs) &&\n            Mark.sameSet(this.marks, marks || Mark.none);\n    }\n    /**\n    Create a new node with the same markup as this node, containing\n    the given content (or empty, if no content is given).\n    */\n    copy(content = null) {\n        if (content == this.content)\n            return this;\n        return new Node(this.type, this.attrs, content, this.marks);\n    }\n    /**\n    Create a copy of this node, with the given set of marks instead\n    of the node's own marks.\n    */\n    mark(marks) {\n        return marks == this.marks ? this : new Node(this.type, this.attrs, this.content, marks);\n    }\n    /**\n    Create a copy of this node with only the content between the\n    given positions. If `to` is not given, it defaults to the end of\n    the node.\n    */\n    cut(from, to = this.content.size) {\n        if (from == 0 && to == this.content.size)\n            return this;\n        return this.copy(this.content.cut(from, to));\n    }\n    /**\n    Cut out the part of the document between the given positions, and\n    return it as a `Slice` object.\n    */\n    slice(from, to = this.content.size, includeParents = false) {\n        if (from == to)\n            return Slice.empty;\n        let $from = this.resolve(from), $to = this.resolve(to);\n        let depth = includeParents ? 0 : $from.sharedDepth(to);\n        let start = $from.start(depth), node = $from.node(depth);\n        let content = node.content.cut($from.pos - start, $to.pos - start);\n        return new Slice(content, $from.depth - depth, $to.depth - depth);\n    }\n    /**\n    Replace the part of the document between the given positions with\n    the given slice. The slice must 'fit', meaning its open sides\n    must be able to connect to the surrounding content, and its\n    content nodes must be valid children for the node they are placed\n    into. If any of this is violated, an error of type\n    [`ReplaceError`](https://prosemirror.net/docs/ref/#model.ReplaceError) is thrown.\n    */\n    replace(from, to, slice) {\n        return replace(this.resolve(from), this.resolve(to), slice);\n    }\n    /**\n    Find the node directly after the given position.\n    */\n    nodeAt(pos) {\n        for (let node = this;;) {\n            let { index, offset } = node.content.findIndex(pos);\n            node = node.maybeChild(index);\n            if (!node)\n                return null;\n            if (offset == pos || node.isText)\n                return node;\n            pos -= offset + 1;\n        }\n    }\n    /**\n    Find the (direct) child node after the given offset, if any,\n    and return it along with its index and offset relative to this\n    node.\n    */\n    childAfter(pos) {\n        let { index, offset } = this.content.findIndex(pos);\n        return { node: this.content.maybeChild(index), index, offset };\n    }\n    /**\n    Find the (direct) child node before the given offset, if any,\n    and return it along with its index and offset relative to this\n    node.\n    */\n    childBefore(pos) {\n        if (pos == 0)\n            return { node: null, index: 0, offset: 0 };\n        let { index, offset } = this.content.findIndex(pos);\n        if (offset < pos)\n            return { node: this.content.child(index), index, offset };\n        let node = this.content.child(index - 1);\n        return { node, index: index - 1, offset: offset - node.nodeSize };\n    }\n    /**\n    Resolve the given position in the document, returning an\n    [object](https://prosemirror.net/docs/ref/#model.ResolvedPos) with information about its context.\n    */\n    resolve(pos) { return ResolvedPos.resolveCached(this, pos); }\n    /**\n    @internal\n    */\n    resolveNoCache(pos) { return ResolvedPos.resolve(this, pos); }\n    /**\n    Test whether a given mark or mark type occurs in this document\n    between the two given positions.\n    */\n    rangeHasMark(from, to, type) {\n        let found = false;\n        if (to > from)\n            this.nodesBetween(from, to, node => {\n                if (type.isInSet(node.marks))\n                    found = true;\n                return !found;\n            });\n        return found;\n    }\n    /**\n    True when this is a block (non-inline node)\n    */\n    get isBlock() { return this.type.isBlock; }\n    /**\n    True when this is a textblock node, a block node with inline\n    content.\n    */\n    get isTextblock() { return this.type.isTextblock; }\n    /**\n    True when this node allows inline content.\n    */\n    get inlineContent() { return this.type.inlineContent; }\n    /**\n    True when this is an inline node (a text node or a node that can\n    appear among text).\n    */\n    get isInline() { return this.type.isInline; }\n    /**\n    True when this is a text node.\n    */\n    get isText() { return this.type.isText; }\n    /**\n    True when this is a leaf node.\n    */\n    get isLeaf() { return this.type.isLeaf; }\n    /**\n    True when this is an atom, i.e. when it does not have directly\n    editable content. This is usually the same as `isLeaf`, but can\n    be configured with the [`atom` property](https://prosemirror.net/docs/ref/#model.NodeSpec.atom)\n    on a node's spec (typically used when the node is displayed as\n    an uneditable [node view](https://prosemirror.net/docs/ref/#view.NodeView)).\n    */\n    get isAtom() { return this.type.isAtom; }\n    /**\n    Return a string representation of this node for debugging\n    purposes.\n    */\n    toString() {\n        if (this.type.spec.toDebugString)\n            return this.type.spec.toDebugString(this);\n        let name = this.type.name;\n        if (this.content.size)\n            name += \"(\" + this.content.toStringInner() + \")\";\n        return wrapMarks(this.marks, name);\n    }\n    /**\n    Get the content match in this node at the given index.\n    */\n    contentMatchAt(index) {\n        let match = this.type.contentMatch.matchFragment(this.content, 0, index);\n        if (!match)\n            throw new Error(\"Called contentMatchAt on a node with invalid content\");\n        return match;\n    }\n    /**\n    Test whether replacing the range between `from` and `to` (by\n    child index) with the given replacement fragment (which defaults\n    to the empty fragment) would leave the node's content valid. You\n    can optionally pass `start` and `end` indices into the\n    replacement fragment.\n    */\n    canReplace(from, to, replacement = Fragment.empty, start = 0, end = replacement.childCount) {\n        let one = this.contentMatchAt(from).matchFragment(replacement, start, end);\n        let two = one && one.matchFragment(this.content, to);\n        if (!two || !two.validEnd)\n            return false;\n        for (let i = start; i < end; i++)\n            if (!this.type.allowsMarks(replacement.child(i).marks))\n                return false;\n        return true;\n    }\n    /**\n    Test whether replacing the range `from` to `to` (by index) with\n    a node of the given type would leave the node's content valid.\n    */\n    canReplaceWith(from, to, type, marks) {\n        if (marks && !this.type.allowsMarks(marks))\n            return false;\n        let start = this.contentMatchAt(from).matchType(type);\n        let end = start && start.matchFragment(this.content, to);\n        return end ? end.validEnd : false;\n    }\n    /**\n    Test whether the given node's content could be appended to this\n    node. If that node is empty, this will only return true if there\n    is at least one node type that can appear in both nodes (to avoid\n    merging completely incompatible nodes).\n    */\n    canAppend(other) {\n        if (other.content.size)\n            return this.canReplace(this.childCount, this.childCount, other.content);\n        else\n            return this.type.compatibleContent(other.type);\n    }\n    /**\n    Check whether this node and its descendants conform to the\n    schema, and raise error when they do not.\n    */\n    check() {\n        this.type.checkContent(this.content);\n        let copy = Mark.none;\n        for (let i = 0; i < this.marks.length; i++)\n            copy = this.marks[i].addToSet(copy);\n        if (!Mark.sameSet(copy, this.marks))\n            throw new RangeError(`Invalid collection of marks for node ${this.type.name}: ${this.marks.map(m => m.type.name)}`);\n        this.content.forEach(node => node.check());\n    }\n    /**\n    Return a JSON-serializeable representation of this node.\n    */\n    toJSON() {\n        let obj = { type: this.type.name };\n        for (let _ in this.attrs) {\n            obj.attrs = this.attrs;\n            break;\n        }\n        if (this.content.size)\n            obj.content = this.content.toJSON();\n        if (this.marks.length)\n            obj.marks = this.marks.map(n => n.toJSON());\n        return obj;\n    }\n    /**\n    Deserialize a node from its JSON representation.\n    */\n    static fromJSON(schema, json) {\n        if (!json)\n            throw new RangeError(\"Invalid input for Node.fromJSON\");\n        let marks = null;\n        if (json.marks) {\n            if (!Array.isArray(json.marks))\n                throw new RangeError(\"Invalid mark data for Node.fromJSON\");\n            marks = json.marks.map(schema.markFromJSON);\n        }\n        if (json.type == \"text\") {\n            if (typeof json.text != \"string\")\n                throw new RangeError(\"Invalid text node in JSON\");\n            return schema.text(json.text, marks);\n        }\n        let content = Fragment.fromJSON(schema, json.content);\n        return schema.nodeType(json.type).create(json.attrs, content, marks);\n    }\n}\nNode.prototype.text = undefined;\nclass TextNode extends Node {\n    /**\n    @internal\n    */\n    constructor(type, attrs, content, marks) {\n        super(type, attrs, null, marks);\n        if (!content)\n            throw new RangeError(\"Empty text nodes are not allowed\");\n        this.text = content;\n    }\n    toString() {\n        if (this.type.spec.toDebugString)\n            return this.type.spec.toDebugString(this);\n        return wrapMarks(this.marks, JSON.stringify(this.text));\n    }\n    get textContent() { return this.text; }\n    textBetween(from, to) { return this.text.slice(from, to); }\n    get nodeSize() { return this.text.length; }\n    mark(marks) {\n        return marks == this.marks ? this : new TextNode(this.type, this.attrs, this.text, marks);\n    }\n    withText(text) {\n        if (text == this.text)\n            return this;\n        return new TextNode(this.type, this.attrs, text, this.marks);\n    }\n    cut(from = 0, to = this.text.length) {\n        if (from == 0 && to == this.text.length)\n            return this;\n        return this.withText(this.text.slice(from, to));\n    }\n    eq(other) {\n        return this.sameMarkup(other) && this.text == other.text;\n    }\n    toJSON() {\n        let base = super.toJSON();\n        base.text = this.text;\n        return base;\n    }\n}\nfunction wrapMarks(marks, str) {\n    for (let i = marks.length - 1; i >= 0; i--)\n        str = marks[i].type.name + \"(\" + str + \")\";\n    return str;\n}\n\n/**\nInstances of this class represent a match state of a node type's\n[content expression](https://prosemirror.net/docs/ref/#model.NodeSpec.content), and can be used to\nfind out whether further content matches here, and whether a given\nposition is a valid end of the node.\n*/\nclass ContentMatch {\n    /**\n    @internal\n    */\n    constructor(\n    /**\n    True when this match state represents a valid end of the node.\n    */\n    validEnd) {\n        this.validEnd = validEnd;\n        /**\n        @internal\n        */\n        this.next = [];\n        /**\n        @internal\n        */\n        this.wrapCache = [];\n    }\n    /**\n    @internal\n    */\n    static parse(string, nodeTypes) {\n        let stream = new TokenStream(string, nodeTypes);\n        if (stream.next == null)\n            return ContentMatch.empty;\n        let expr = parseExpr(stream);\n        if (stream.next)\n            stream.err(\"Unexpected trailing text\");\n        let match = dfa(nfa(expr));\n        checkForDeadEnds(match, stream);\n        return match;\n    }\n    /**\n    Match a node type, returning a match after that node if\n    successful.\n    */\n    matchType(type) {\n        for (let i = 0; i < this.next.length; i++)\n            if (this.next[i].type == type)\n                return this.next[i].next;\n        return null;\n    }\n    /**\n    Try to match a fragment. Returns the resulting match when\n    successful.\n    */\n    matchFragment(frag, start = 0, end = frag.childCount) {\n        let cur = this;\n        for (let i = start; cur && i < end; i++)\n            cur = cur.matchType(frag.child(i).type);\n        return cur;\n    }\n    /**\n    @internal\n    */\n    get inlineContent() {\n        return this.next.length != 0 && this.next[0].type.isInline;\n    }\n    /**\n    Get the first matching node type at this match position that can\n    be generated.\n    */\n    get defaultType() {\n        for (let i = 0; i < this.next.length; i++) {\n            let { type } = this.next[i];\n            if (!(type.isText || type.hasRequiredAttrs()))\n                return type;\n        }\n        return null;\n    }\n    /**\n    @internal\n    */\n    compatible(other) {\n        for (let i = 0; i < this.next.length; i++)\n            for (let j = 0; j < other.next.length; j++)\n                if (this.next[i].type == other.next[j].type)\n                    return true;\n        return false;\n    }\n    /**\n    Try to match the given fragment, and if that fails, see if it can\n    be made to match by inserting nodes in front of it. When\n    successful, return a fragment of inserted nodes (which may be\n    empty if nothing had to be inserted). When `toEnd` is true, only\n    return a fragment if the resulting match goes to the end of the\n    content expression.\n    */\n    fillBefore(after, toEnd = false, startIndex = 0) {\n        let seen = [this];\n        function search(match, types) {\n            let finished = match.matchFragment(after, startIndex);\n            if (finished && (!toEnd || finished.validEnd))\n                return Fragment.from(types.map(tp => tp.createAndFill()));\n            for (let i = 0; i < match.next.length; i++) {\n                let { type, next } = match.next[i];\n                if (!(type.isText || type.hasRequiredAttrs()) && seen.indexOf(next) == -1) {\n                    seen.push(next);\n                    let found = search(next, types.concat(type));\n                    if (found)\n                        return found;\n                }\n            }\n            return null;\n        }\n        return search(this, []);\n    }\n    /**\n    Find a set of wrapping node types that would allow a node of the\n    given type to appear at this position. The result may be empty\n    (when it fits directly) and will be null when no such wrapping\n    exists.\n    */\n    findWrapping(target) {\n        for (let i = 0; i < this.wrapCache.length; i += 2)\n            if (this.wrapCache[i] == target)\n                return this.wrapCache[i + 1];\n        let computed = this.computeWrapping(target);\n        this.wrapCache.push(target, computed);\n        return computed;\n    }\n    /**\n    @internal\n    */\n    computeWrapping(target) {\n        let seen = Object.create(null), active = [{ match: this, type: null, via: null }];\n        while (active.length) {\n            let current = active.shift(), match = current.match;\n            if (match.matchType(target)) {\n                let result = [];\n                for (let obj = current; obj.type; obj = obj.via)\n                    result.push(obj.type);\n                return result.reverse();\n            }\n            for (let i = 0; i < match.next.length; i++) {\n                let { type, next } = match.next[i];\n                if (!type.isLeaf && !type.hasRequiredAttrs() && !(type.name in seen) && (!current.type || next.validEnd)) {\n                    active.push({ match: type.contentMatch, type, via: current });\n                    seen[type.name] = true;\n                }\n            }\n        }\n        return null;\n    }\n    /**\n    The number of outgoing edges this node has in the finite\n    automaton that describes the content expression.\n    */\n    get edgeCount() {\n        return this.next.length;\n    }\n    /**\n    Get the _n_​th outgoing edge from this node in the finite\n    automaton that describes the content expression.\n    */\n    edge(n) {\n        if (n >= this.next.length)\n            throw new RangeError(`There's no ${n}th edge in this content match`);\n        return this.next[n];\n    }\n    /**\n    @internal\n    */\n    toString() {\n        let seen = [];\n        function scan(m) {\n            seen.push(m);\n            for (let i = 0; i < m.next.length; i++)\n                if (seen.indexOf(m.next[i].next) == -1)\n                    scan(m.next[i].next);\n        }\n        scan(this);\n        return seen.map((m, i) => {\n            let out = i + (m.validEnd ? \"*\" : \" \") + \" \";\n            for (let i = 0; i < m.next.length; i++)\n                out += (i ? \", \" : \"\") + m.next[i].type.name + \"->\" + seen.indexOf(m.next[i].next);\n            return out;\n        }).join(\"\\n\");\n    }\n}\n/**\n@internal\n*/\nContentMatch.empty = new ContentMatch(true);\nclass TokenStream {\n    constructor(string, nodeTypes) {\n        this.string = string;\n        this.nodeTypes = nodeTypes;\n        this.inline = null;\n        this.pos = 0;\n        this.tokens = string.split(/\\s*(?=\\b|\\W|$)/);\n        if (this.tokens[this.tokens.length - 1] == \"\")\n            this.tokens.pop();\n        if (this.tokens[0] == \"\")\n            this.tokens.shift();\n    }\n    get next() { return this.tokens[this.pos]; }\n    eat(tok) { return this.next == tok && (this.pos++ || true); }\n    err(str) { throw new SyntaxError(str + \" (in content expression '\" + this.string + \"')\"); }\n}\nfunction parseExpr(stream) {\n    let exprs = [];\n    do {\n        exprs.push(parseExprSeq(stream));\n    } while (stream.eat(\"|\"));\n    return exprs.length == 1 ? exprs[0] : { type: \"choice\", exprs };\n}\nfunction parseExprSeq(stream) {\n    let exprs = [];\n    do {\n        exprs.push(parseExprSubscript(stream));\n    } while (stream.next && stream.next != \")\" && stream.next != \"|\");\n    return exprs.length == 1 ? exprs[0] : { type: \"seq\", exprs };\n}\nfunction parseExprSubscript(stream) {\n    let expr = parseExprAtom(stream);\n    for (;;) {\n        if (stream.eat(\"+\"))\n            expr = { type: \"plus\", expr };\n        else if (stream.eat(\"*\"))\n            expr = { type: \"star\", expr };\n        else if (stream.eat(\"?\"))\n            expr = { type: \"opt\", expr };\n        else if (stream.eat(\"{\"))\n            expr = parseExprRange(stream, expr);\n        else\n            break;\n    }\n    return expr;\n}\nfunction parseNum(stream) {\n    if (/\\D/.test(stream.next))\n        stream.err(\"Expected number, got '\" + stream.next + \"'\");\n    let result = Number(stream.next);\n    stream.pos++;\n    return result;\n}\nfunction parseExprRange(stream, expr) {\n    let min = parseNum(stream), max = min;\n    if (stream.eat(\",\")) {\n        if (stream.next != \"}\")\n            max = parseNum(stream);\n        else\n            max = -1;\n    }\n    if (!stream.eat(\"}\"))\n        stream.err(\"Unclosed braced range\");\n    return { type: \"range\", min, max, expr };\n}\nfunction resolveName(stream, name) {\n    let types = stream.nodeTypes, type = types[name];\n    if (type)\n        return [type];\n    let result = [];\n    for (let typeName in types) {\n        let type = types[typeName];\n        if (type.groups.indexOf(name) > -1)\n            result.push(type);\n    }\n    if (result.length == 0)\n        stream.err(\"No node type or group '\" + name + \"' found\");\n    return result;\n}\nfunction parseExprAtom(stream) {\n    if (stream.eat(\"(\")) {\n        let expr = parseExpr(stream);\n        if (!stream.eat(\")\"))\n            stream.err(\"Missing closing paren\");\n        return expr;\n    }\n    else if (!/\\W/.test(stream.next)) {\n        let exprs = resolveName(stream, stream.next).map(type => {\n            if (stream.inline == null)\n                stream.inline = type.isInline;\n            else if (stream.inline != type.isInline)\n                stream.err(\"Mixing inline and block content\");\n            return { type: \"name\", value: type };\n        });\n        stream.pos++;\n        return exprs.length == 1 ? exprs[0] : { type: \"choice\", exprs };\n    }\n    else {\n        stream.err(\"Unexpected token '\" + stream.next + \"'\");\n    }\n}\n/**\nConstruct an NFA from an expression as returned by the parser. The\nNFA is represented as an array of states, which are themselves\narrays of edges, which are `{term, to}` objects. The first state is\nthe entry state and the last node is the success state.\n\nNote that unlike typical NFAs, the edge ordering in this one is\nsignificant, in that it is used to contruct filler content when\nnecessary.\n*/\nfunction nfa(expr) {\n    let nfa = [[]];\n    connect(compile(expr, 0), node());\n    return nfa;\n    function node() { return nfa.push([]) - 1; }\n    function edge(from, to, term) {\n        let edge = { term, to };\n        nfa[from].push(edge);\n        return edge;\n    }\n    function connect(edges, to) {\n        edges.forEach(edge => edge.to = to);\n    }\n    function compile(expr, from) {\n        if (expr.type == \"choice\") {\n            return expr.exprs.reduce((out, expr) => out.concat(compile(expr, from)), []);\n        }\n        else if (expr.type == \"seq\") {\n            for (let i = 0;; i++) {\n                let next = compile(expr.exprs[i], from);\n                if (i == expr.exprs.length - 1)\n                    return next;\n                connect(next, from = node());\n            }\n        }\n        else if (expr.type == \"star\") {\n            let loop = node();\n            edge(from, loop);\n            connect(compile(expr.expr, loop), loop);\n            return [edge(loop)];\n        }\n        else if (expr.type == \"plus\") {\n            let loop = node();\n            connect(compile(expr.expr, from), loop);\n            connect(compile(expr.expr, loop), loop);\n            return [edge(loop)];\n        }\n        else if (expr.type == \"opt\") {\n            return [edge(from)].concat(compile(expr.expr, from));\n        }\n        else if (expr.type == \"range\") {\n            let cur = from;\n            for (let i = 0; i < expr.min; i++) {\n                let next = node();\n                connect(compile(expr.expr, cur), next);\n                cur = next;\n            }\n            if (expr.max == -1) {\n                connect(compile(expr.expr, cur), cur);\n            }\n            else {\n                for (let i = expr.min; i < expr.max; i++) {\n                    let next = node();\n                    edge(cur, next);\n                    connect(compile(expr.expr, cur), next);\n                    cur = next;\n                }\n            }\n            return [edge(cur)];\n        }\n        else if (expr.type == \"name\") {\n            return [edge(from, undefined, expr.value)];\n        }\n        else {\n            throw new Error(\"Unknown expr type\");\n        }\n    }\n}\nfunction cmp(a, b) { return b - a; }\n// Get the set of nodes reachable by null edges from `node`. Omit\n// nodes with only a single null-out-edge, since they may lead to\n// needless duplicated nodes.\nfunction nullFrom(nfa, node) {\n    let result = [];\n    scan(node);\n    return result.sort(cmp);\n    function scan(node) {\n        let edges = nfa[node];\n        if (edges.length == 1 && !edges[0].term)\n            return scan(edges[0].to);\n        result.push(node);\n        for (let i = 0; i < edges.length; i++) {\n            let { term, to } = edges[i];\n            if (!term && result.indexOf(to) == -1)\n                scan(to);\n        }\n    }\n}\n// Compiles an NFA as produced by `nfa` into a DFA, modeled as a set\n// of state objects (`ContentMatch` instances) with transitions\n// between them.\nfunction dfa(nfa) {\n    let labeled = Object.create(null);\n    return explore(nullFrom(nfa, 0));\n    function explore(states) {\n        let out = [];\n        states.forEach(node => {\n            nfa[node].forEach(({ term, to }) => {\n                if (!term)\n                    return;\n                let set;\n                for (let i = 0; i < out.length; i++)\n                    if (out[i][0] == term)\n                        set = out[i][1];\n                nullFrom(nfa, to).forEach(node => {\n                    if (!set)\n                        out.push([term, set = []]);\n                    if (set.indexOf(node) == -1)\n                        set.push(node);\n                });\n            });\n        });\n        let state = labeled[states.join(\",\")] = new ContentMatch(states.indexOf(nfa.length - 1) > -1);\n        for (let i = 0; i < out.length; i++) {\n            let states = out[i][1].sort(cmp);\n            state.next.push({ type: out[i][0], next: labeled[states.join(\",\")] || explore(states) });\n        }\n        return state;\n    }\n}\nfunction checkForDeadEnds(match, stream) {\n    for (let i = 0, work = [match]; i < work.length; i++) {\n        let state = work[i], dead = !state.validEnd, nodes = [];\n        for (let j = 0; j < state.next.length; j++) {\n            let { type, next } = state.next[j];\n            nodes.push(type.name);\n            if (dead && !(type.isText || type.hasRequiredAttrs()))\n                dead = false;\n            if (work.indexOf(next) == -1)\n                work.push(next);\n        }\n        if (dead)\n            stream.err(\"Only non-generatable nodes (\" + nodes.join(\", \") + \") in a required position (see https://prosemirror.net/docs/guide/#generatable)\");\n    }\n}\n\n// For node types where all attrs have a default value (or which don't\n// have any attributes), build up a single reusable default attribute\n// object, and use it for all nodes that don't specify specific\n// attributes.\nfunction defaultAttrs(attrs) {\n    let defaults = Object.create(null);\n    for (let attrName in attrs) {\n        let attr = attrs[attrName];\n        if (!attr.hasDefault)\n            return null;\n        defaults[attrName] = attr.default;\n    }\n    return defaults;\n}\nfunction computeAttrs(attrs, value) {\n    let built = Object.create(null);\n    for (let name in attrs) {\n        let given = value && value[name];\n        if (given === undefined) {\n            let attr = attrs[name];\n            if (attr.hasDefault)\n                given = attr.default;\n            else\n                throw new RangeError(\"No value supplied for attribute \" + name);\n        }\n        built[name] = given;\n    }\n    return built;\n}\nfunction initAttrs(attrs) {\n    let result = Object.create(null);\n    if (attrs)\n        for (let name in attrs)\n            result[name] = new Attribute(attrs[name]);\n    return result;\n}\n/**\nNode types are objects allocated once per `Schema` and used to\n[tag](https://prosemirror.net/docs/ref/#model.Node.type) `Node` instances. They contain information\nabout the node type, such as its name and what kind of node it\nrepresents.\n*/\nclass NodeType {\n    /**\n    @internal\n    */\n    constructor(\n    /**\n    The name the node type has in this schema.\n    */\n    name, \n    /**\n    A link back to the `Schema` the node type belongs to.\n    */\n    schema, \n    /**\n    The spec that this type is based on\n    */\n    spec) {\n        this.name = name;\n        this.schema = schema;\n        this.spec = spec;\n        /**\n        The set of marks allowed in this node. `null` means all marks\n        are allowed.\n        */\n        this.markSet = null;\n        this.groups = spec.group ? spec.group.split(\" \") : [];\n        this.attrs = initAttrs(spec.attrs);\n        this.defaultAttrs = defaultAttrs(this.attrs);\n        this.contentMatch = null;\n        this.inlineContent = null;\n        this.isBlock = !(spec.inline || name == \"text\");\n        this.isText = name == \"text\";\n    }\n    /**\n    True if this is an inline type.\n    */\n    get isInline() { return !this.isBlock; }\n    /**\n    True if this is a textblock type, a block that contains inline\n    content.\n    */\n    get isTextblock() { return this.isBlock && this.inlineContent; }\n    /**\n    True for node types that allow no content.\n    */\n    get isLeaf() { return this.contentMatch == ContentMatch.empty; }\n    /**\n    True when this node is an atom, i.e. when it does not have\n    directly editable content.\n    */\n    get isAtom() { return this.isLeaf || !!this.spec.atom; }\n    /**\n    The node type's [whitespace](https://prosemirror.net/docs/ref/#model.NodeSpec.whitespace) option.\n    */\n    get whitespace() {\n        return this.spec.whitespace || (this.spec.code ? \"pre\" : \"normal\");\n    }\n    /**\n    Tells you whether this node type has any required attributes.\n    */\n    hasRequiredAttrs() {\n        for (let n in this.attrs)\n            if (this.attrs[n].isRequired)\n                return true;\n        return false;\n    }\n    /**\n    Indicates whether this node allows some of the same content as\n    the given node type.\n    */\n    compatibleContent(other) {\n        return this == other || this.contentMatch.compatible(other.contentMatch);\n    }\n    /**\n    @internal\n    */\n    computeAttrs(attrs) {\n        if (!attrs && this.defaultAttrs)\n            return this.defaultAttrs;\n        else\n            return computeAttrs(this.attrs, attrs);\n    }\n    /**\n    Create a `Node` of this type. The given attributes are\n    checked and defaulted (you can pass `null` to use the type's\n    defaults entirely, if no required attributes exist). `content`\n    may be a `Fragment`, a node, an array of nodes, or\n    `null`. Similarly `marks` may be `null` to default to the empty\n    set of marks.\n    */\n    create(attrs = null, content, marks) {\n        if (this.isText)\n            throw new Error(\"NodeType.create can't construct text nodes\");\n        return new Node(this, this.computeAttrs(attrs), Fragment.from(content), Mark.setFrom(marks));\n    }\n    /**\n    Like [`create`](https://prosemirror.net/docs/ref/#model.NodeType.create), but check the given content\n    against the node type's content restrictions, and throw an error\n    if it doesn't match.\n    */\n    createChecked(attrs = null, content, marks) {\n        content = Fragment.from(content);\n        this.checkContent(content);\n        return new Node(this, this.computeAttrs(attrs), content, Mark.setFrom(marks));\n    }\n    /**\n    Like [`create`](https://prosemirror.net/docs/ref/#model.NodeType.create), but see if it is\n    necessary to add nodes to the start or end of the given fragment\n    to make it fit the node. If no fitting wrapping can be found,\n    return null. Note that, due to the fact that required nodes can\n    always be created, this will always succeed if you pass null or\n    `Fragment.empty` as content.\n    */\n    createAndFill(attrs = null, content, marks) {\n        attrs = this.computeAttrs(attrs);\n        content = Fragment.from(content);\n        if (content.size) {\n            let before = this.contentMatch.fillBefore(content);\n            if (!before)\n                return null;\n            content = before.append(content);\n        }\n        let matched = this.contentMatch.matchFragment(content);\n        let after = matched && matched.fillBefore(Fragment.empty, true);\n        if (!after)\n            return null;\n        return new Node(this, attrs, content.append(after), Mark.setFrom(marks));\n    }\n    /**\n    Returns true if the given fragment is valid content for this node\n    type with the given attributes.\n    */\n    validContent(content) {\n        let result = this.contentMatch.matchFragment(content);\n        if (!result || !result.validEnd)\n            return false;\n        for (let i = 0; i < content.childCount; i++)\n            if (!this.allowsMarks(content.child(i).marks))\n                return false;\n        return true;\n    }\n    /**\n    Throws a RangeError if the given fragment is not valid content for this\n    node type.\n    @internal\n    */\n    checkContent(content) {\n        if (!this.validContent(content))\n            throw new RangeError(`Invalid content for node ${this.name}: ${content.toString().slice(0, 50)}`);\n    }\n    /**\n    Check whether the given mark type is allowed in this node.\n    */\n    allowsMarkType(markType) {\n        return this.markSet == null || this.markSet.indexOf(markType) > -1;\n    }\n    /**\n    Test whether the given set of marks are allowed in this node.\n    */\n    allowsMarks(marks) {\n        if (this.markSet == null)\n            return true;\n        for (let i = 0; i < marks.length; i++)\n            if (!this.allowsMarkType(marks[i].type))\n                return false;\n        return true;\n    }\n    /**\n    Removes the marks that are not allowed in this node from the given set.\n    */\n    allowedMarks(marks) {\n        if (this.markSet == null)\n            return marks;\n        let copy;\n        for (let i = 0; i < marks.length; i++) {\n            if (!this.allowsMarkType(marks[i].type)) {\n                if (!copy)\n                    copy = marks.slice(0, i);\n            }\n            else if (copy) {\n                copy.push(marks[i]);\n            }\n        }\n        return !copy ? marks : copy.length ? copy : Mark.none;\n    }\n    /**\n    @internal\n    */\n    static compile(nodes, schema) {\n        let result = Object.create(null);\n        nodes.forEach((name, spec) => result[name] = new NodeType(name, schema, spec));\n        let topType = schema.spec.topNode || \"doc\";\n        if (!result[topType])\n            throw new RangeError(\"Schema is missing its top node type ('\" + topType + \"')\");\n        if (!result.text)\n            throw new RangeError(\"Every schema needs a 'text' type\");\n        for (let _ in result.text.attrs)\n            throw new RangeError(\"The text node type should not have attributes\");\n        return result;\n    }\n}\n// Attribute descriptors\nclass Attribute {\n    constructor(options) {\n        this.hasDefault = Object.prototype.hasOwnProperty.call(options, \"default\");\n        this.default = options.default;\n    }\n    get isRequired() {\n        return !this.hasDefault;\n    }\n}\n// Marks\n/**\nLike nodes, marks (which are associated with nodes to signify\nthings like emphasis or being part of a link) are\n[tagged](https://prosemirror.net/docs/ref/#model.Mark.type) with type objects, which are\ninstantiated once per `Schema`.\n*/\nclass MarkType {\n    /**\n    @internal\n    */\n    constructor(\n    /**\n    The name of the mark type.\n    */\n    name, \n    /**\n    @internal\n    */\n    rank, \n    /**\n    The schema that this mark type instance is part of.\n    */\n    schema, \n    /**\n    The spec on which the type is based.\n    */\n    spec) {\n        this.name = name;\n        this.rank = rank;\n        this.schema = schema;\n        this.spec = spec;\n        this.attrs = initAttrs(spec.attrs);\n        this.excluded = null;\n        let defaults = defaultAttrs(this.attrs);\n        this.instance = defaults ? new Mark(this, defaults) : null;\n    }\n    /**\n    Create a mark of this type. `attrs` may be `null` or an object\n    containing only some of the mark's attributes. The others, if\n    they have defaults, will be added.\n    */\n    create(attrs = null) {\n        if (!attrs && this.instance)\n            return this.instance;\n        return new Mark(this, computeAttrs(this.attrs, attrs));\n    }\n    /**\n    @internal\n    */\n    static compile(marks, schema) {\n        let result = Object.create(null), rank = 0;\n        marks.forEach((name, spec) => result[name] = new MarkType(name, rank++, schema, spec));\n        return result;\n    }\n    /**\n    When there is a mark of this type in the given set, a new set\n    without it is returned. Otherwise, the input set is returned.\n    */\n    removeFromSet(set) {\n        for (var i = 0; i < set.length; i++)\n            if (set[i].type == this) {\n                set = set.slice(0, i).concat(set.slice(i + 1));\n                i--;\n            }\n        return set;\n    }\n    /**\n    Tests whether there is a mark of this type in the given set.\n    */\n    isInSet(set) {\n        for (let i = 0; i < set.length; i++)\n            if (set[i].type == this)\n                return set[i];\n    }\n    /**\n    Queries whether a given mark type is\n    [excluded](https://prosemirror.net/docs/ref/#model.MarkSpec.excludes) by this one.\n    */\n    excludes(other) {\n        return this.excluded.indexOf(other) > -1;\n    }\n}\n/**\nA document schema. Holds [node](https://prosemirror.net/docs/ref/#model.NodeType) and [mark\ntype](https://prosemirror.net/docs/ref/#model.MarkType) objects for the nodes and marks that may\noccur in conforming documents, and provides functionality for\ncreating and deserializing such documents.\n\nWhen given, the type parameters provide the names of the nodes and\nmarks in this schema.\n*/\nclass Schema {\n    /**\n    Construct a schema from a schema [specification](https://prosemirror.net/docs/ref/#model.SchemaSpec).\n    */\n    constructor(spec) {\n        /**\n        An object for storing whatever values modules may want to\n        compute and cache per schema. (If you want to store something\n        in it, try to use property names unlikely to clash.)\n        */\n        this.cached = Object.create(null);\n        let instanceSpec = this.spec = {};\n        for (let prop in spec)\n            instanceSpec[prop] = spec[prop];\n        instanceSpec.nodes = OrderedMap.from(spec.nodes),\n            instanceSpec.marks = OrderedMap.from(spec.marks || {}),\n            this.nodes = NodeType.compile(this.spec.nodes, this);\n        this.marks = MarkType.compile(this.spec.marks, this);\n        let contentExprCache = Object.create(null);\n        for (let prop in this.nodes) {\n            if (prop in this.marks)\n                throw new RangeError(prop + \" can not be both a node and a mark\");\n            let type = this.nodes[prop], contentExpr = type.spec.content || \"\", markExpr = type.spec.marks;\n            type.contentMatch = contentExprCache[contentExpr] ||\n                (contentExprCache[contentExpr] = ContentMatch.parse(contentExpr, this.nodes));\n            type.inlineContent = type.contentMatch.inlineContent;\n            type.markSet = markExpr == \"_\" ? null :\n                markExpr ? gatherMarks(this, markExpr.split(\" \")) :\n                    markExpr == \"\" || !type.inlineContent ? [] : null;\n        }\n        for (let prop in this.marks) {\n            let type = this.marks[prop], excl = type.spec.excludes;\n            type.excluded = excl == null ? [type] : excl == \"\" ? [] : gatherMarks(this, excl.split(\" \"));\n        }\n        this.nodeFromJSON = this.nodeFromJSON.bind(this);\n        this.markFromJSON = this.markFromJSON.bind(this);\n        this.topNodeType = this.nodes[this.spec.topNode || \"doc\"];\n        this.cached.wrappings = Object.create(null);\n    }\n    /**\n    Create a node in this schema. The `type` may be a string or a\n    `NodeType` instance. Attributes will be extended with defaults,\n    `content` may be a `Fragment`, `null`, a `Node`, or an array of\n    nodes.\n    */\n    node(type, attrs = null, content, marks) {\n        if (typeof type == \"string\")\n            type = this.nodeType(type);\n        else if (!(type instanceof NodeType))\n            throw new RangeError(\"Invalid node type: \" + type);\n        else if (type.schema != this)\n            throw new RangeError(\"Node type from different schema used (\" + type.name + \")\");\n        return type.createChecked(attrs, content, marks);\n    }\n    /**\n    Create a text node in the schema. Empty text nodes are not\n    allowed.\n    */\n    text(text, marks) {\n        let type = this.nodes.text;\n        return new TextNode(type, type.defaultAttrs, text, Mark.setFrom(marks));\n    }\n    /**\n    Create a mark with the given type and attributes.\n    */\n    mark(type, attrs) {\n        if (typeof type == \"string\")\n            type = this.marks[type];\n        return type.create(attrs);\n    }\n    /**\n    Deserialize a node from its JSON representation. This method is\n    bound.\n    */\n    nodeFromJSON(json) {\n        return Node.fromJSON(this, json);\n    }\n    /**\n    Deserialize a mark from its JSON representation. This method is\n    bound.\n    */\n    markFromJSON(json) {\n        return Mark.fromJSON(this, json);\n    }\n    /**\n    @internal\n    */\n    nodeType(name) {\n        let found = this.nodes[name];\n        if (!found)\n            throw new RangeError(\"Unknown node type: \" + name);\n        return found;\n    }\n}\nfunction gatherMarks(schema, marks) {\n    let found = [];\n    for (let i = 0; i < marks.length; i++) {\n        let name = marks[i], mark = schema.marks[name], ok = mark;\n        if (mark) {\n            found.push(mark);\n        }\n        else {\n            for (let prop in schema.marks) {\n                let mark = schema.marks[prop];\n                if (name == \"_\" || (mark.spec.group && mark.spec.group.split(\" \").indexOf(name) > -1))\n                    found.push(ok = mark);\n            }\n        }\n        if (!ok)\n            throw new SyntaxError(\"Unknown mark type: '\" + marks[i] + \"'\");\n    }\n    return found;\n}\n\nfunction isTagRule(rule) { return rule.tag != null; }\nfunction isStyleRule(rule) { return rule.style != null; }\n/**\nA DOM parser represents a strategy for parsing DOM content into a\nProseMirror document conforming to a given schema. Its behavior is\ndefined by an array of [rules](https://prosemirror.net/docs/ref/#model.ParseRule).\n*/\nclass DOMParser {\n    /**\n    Create a parser that targets the given schema, using the given\n    parsing rules.\n    */\n    constructor(\n    /**\n    The schema into which the parser parses.\n    */\n    schema, \n    /**\n    The set of [parse rules](https://prosemirror.net/docs/ref/#model.ParseRule) that the parser\n    uses, in order of precedence.\n    */\n    rules) {\n        this.schema = schema;\n        this.rules = rules;\n        /**\n        @internal\n        */\n        this.tags = [];\n        /**\n        @internal\n        */\n        this.styles = [];\n        rules.forEach(rule => {\n            if (isTagRule(rule))\n                this.tags.push(rule);\n            else if (isStyleRule(rule))\n                this.styles.push(rule);\n        });\n        // Only normalize list elements when lists in the schema can't directly contain themselves\n        this.normalizeLists = !this.tags.some(r => {\n            if (!/^(ul|ol)\\b/.test(r.tag) || !r.node)\n                return false;\n            let node = schema.nodes[r.node];\n            return node.contentMatch.matchType(node);\n        });\n    }\n    /**\n    Parse a document from the content of a DOM node.\n    */\n    parse(dom, options = {}) {\n        let context = new ParseContext(this, options, false);\n        context.addAll(dom, options.from, options.to);\n        return context.finish();\n    }\n    /**\n    Parses the content of the given DOM node, like\n    [`parse`](https://prosemirror.net/docs/ref/#model.DOMParser.parse), and takes the same set of\n    options. But unlike that method, which produces a whole node,\n    this one returns a slice that is open at the sides, meaning that\n    the schema constraints aren't applied to the start of nodes to\n    the left of the input and the end of nodes at the end.\n    */\n    parseSlice(dom, options = {}) {\n        let context = new ParseContext(this, options, true);\n        context.addAll(dom, options.from, options.to);\n        return Slice.maxOpen(context.finish());\n    }\n    /**\n    @internal\n    */\n    matchTag(dom, context, after) {\n        for (let i = after ? this.tags.indexOf(after) + 1 : 0; i < this.tags.length; i++) {\n            let rule = this.tags[i];\n            if (matches(dom, rule.tag) &&\n                (rule.namespace === undefined || dom.namespaceURI == rule.namespace) &&\n                (!rule.context || context.matchesContext(rule.context))) {\n                if (rule.getAttrs) {\n                    let result = rule.getAttrs(dom);\n                    if (result === false)\n                        continue;\n                    rule.attrs = result || undefined;\n                }\n                return rule;\n            }\n        }\n    }\n    /**\n    @internal\n    */\n    matchStyle(prop, value, context, after) {\n        for (let i = after ? this.styles.indexOf(after) + 1 : 0; i < this.styles.length; i++) {\n            let rule = this.styles[i], style = rule.style;\n            if (style.indexOf(prop) != 0 ||\n                rule.context && !context.matchesContext(rule.context) ||\n                // Test that the style string either precisely matches the prop,\n                // or has an '=' sign after the prop, followed by the given\n                // value.\n                style.length > prop.length &&\n                    (style.charCodeAt(prop.length) != 61 || style.slice(prop.length + 1) != value))\n                continue;\n            if (rule.getAttrs) {\n                let result = rule.getAttrs(value);\n                if (result === false)\n                    continue;\n                rule.attrs = result || undefined;\n            }\n            return rule;\n        }\n    }\n    /**\n    @internal\n    */\n    static schemaRules(schema) {\n        let result = [];\n        function insert(rule) {\n            let priority = rule.priority == null ? 50 : rule.priority, i = 0;\n            for (; i < result.length; i++) {\n                let next = result[i], nextPriority = next.priority == null ? 50 : next.priority;\n                if (nextPriority < priority)\n                    break;\n            }\n            result.splice(i, 0, rule);\n        }\n        for (let name in schema.marks) {\n            let rules = schema.marks[name].spec.parseDOM;\n            if (rules)\n                rules.forEach(rule => {\n                    insert(rule = copy(rule));\n                    if (!(rule.mark || rule.ignore || rule.clearMark))\n                        rule.mark = name;\n                });\n        }\n        for (let name in schema.nodes) {\n            let rules = schema.nodes[name].spec.parseDOM;\n            if (rules)\n                rules.forEach(rule => {\n                    insert(rule = copy(rule));\n                    if (!(rule.node || rule.ignore || rule.mark))\n                        rule.node = name;\n                });\n        }\n        return result;\n    }\n    /**\n    Construct a DOM parser using the parsing rules listed in a\n    schema's [node specs](https://prosemirror.net/docs/ref/#model.NodeSpec.parseDOM), reordered by\n    [priority](https://prosemirror.net/docs/ref/#model.ParseRule.priority).\n    */\n    static fromSchema(schema) {\n        return schema.cached.domParser ||\n            (schema.cached.domParser = new DOMParser(schema, DOMParser.schemaRules(schema)));\n    }\n}\nconst blockTags = {\n    address: true, article: true, aside: true, blockquote: true, canvas: true,\n    dd: true, div: true, dl: true, fieldset: true, figcaption: true, figure: true,\n    footer: true, form: true, h1: true, h2: true, h3: true, h4: true, h5: true,\n    h6: true, header: true, hgroup: true, hr: true, li: true, noscript: true, ol: true,\n    output: true, p: true, pre: true, section: true, table: true, tfoot: true, ul: true\n};\nconst ignoreTags = {\n    head: true, noscript: true, object: true, script: true, style: true, title: true\n};\nconst listTags = { ol: true, ul: true };\n// Using a bitfield for node context options\nconst OPT_PRESERVE_WS = 1, OPT_PRESERVE_WS_FULL = 2, OPT_OPEN_LEFT = 4;\nfunction wsOptionsFor(type, preserveWhitespace, base) {\n    if (preserveWhitespace != null)\n        return (preserveWhitespace ? OPT_PRESERVE_WS : 0) |\n            (preserveWhitespace === \"full\" ? OPT_PRESERVE_WS_FULL : 0);\n    return type && type.whitespace == \"pre\" ? OPT_PRESERVE_WS | OPT_PRESERVE_WS_FULL : base & ~OPT_OPEN_LEFT;\n}\nclass NodeContext {\n    constructor(type, attrs, \n    // Marks applied to this node itself\n    marks, \n    // Marks that can't apply here, but will be used in children if possible\n    pendingMarks, solid, match, options) {\n        this.type = type;\n        this.attrs = attrs;\n        this.marks = marks;\n        this.pendingMarks = pendingMarks;\n        this.solid = solid;\n        this.options = options;\n        this.content = [];\n        // Marks applied to the node's children\n        this.activeMarks = Mark.none;\n        // Nested Marks with same type\n        this.stashMarks = [];\n        this.match = match || (options & OPT_OPEN_LEFT ? null : type.contentMatch);\n    }\n    findWrapping(node) {\n        if (!this.match) {\n            if (!this.type)\n                return [];\n            let fill = this.type.contentMatch.fillBefore(Fragment.from(node));\n            if (fill) {\n                this.match = this.type.contentMatch.matchFragment(fill);\n            }\n            else {\n                let start = this.type.contentMatch, wrap;\n                if (wrap = start.findWrapping(node.type)) {\n                    this.match = start;\n                    return wrap;\n                }\n                else {\n                    return null;\n                }\n            }\n        }\n        return this.match.findWrapping(node.type);\n    }\n    finish(openEnd) {\n        if (!(this.options & OPT_PRESERVE_WS)) { // Strip trailing whitespace\n            let last = this.content[this.content.length - 1], m;\n            if (last && last.isText && (m = /[ \\t\\r\\n\\u000c]+$/.exec(last.text))) {\n                let text = last;\n                if (last.text.length == m[0].length)\n                    this.content.pop();\n                else\n                    this.content[this.content.length - 1] = text.withText(text.text.slice(0, text.text.length - m[0].length));\n            }\n        }\n        let content = Fragment.from(this.content);\n        if (!openEnd && this.match)\n            content = content.append(this.match.fillBefore(Fragment.empty, true));\n        return this.type ? this.type.create(this.attrs, content, this.marks) : content;\n    }\n    popFromStashMark(mark) {\n        for (let i = this.stashMarks.length - 1; i >= 0; i--)\n            if (mark.eq(this.stashMarks[i]))\n                return this.stashMarks.splice(i, 1)[0];\n    }\n    applyPending(nextType) {\n        for (let i = 0, pending = this.pendingMarks; i < pending.length; i++) {\n            let mark = pending[i];\n            if ((this.type ? this.type.allowsMarkType(mark.type) : markMayApply(mark.type, nextType)) &&\n                !mark.isInSet(this.activeMarks)) {\n                this.activeMarks = mark.addToSet(this.activeMarks);\n                this.pendingMarks = mark.removeFromSet(this.pendingMarks);\n            }\n        }\n    }\n    inlineContext(node) {\n        if (this.type)\n            return this.type.inlineContent;\n        if (this.content.length)\n            return this.content[0].isInline;\n        return node.parentNode && !blockTags.hasOwnProperty(node.parentNode.nodeName.toLowerCase());\n    }\n}\nclass ParseContext {\n    constructor(\n    // The parser we are using.\n    parser, \n    // The options passed to this parse.\n    options, isOpen) {\n        this.parser = parser;\n        this.options = options;\n        this.isOpen = isOpen;\n        this.open = 0;\n        let topNode = options.topNode, topContext;\n        let topOptions = wsOptionsFor(null, options.preserveWhitespace, 0) | (isOpen ? OPT_OPEN_LEFT : 0);\n        if (topNode)\n            topContext = new NodeContext(topNode.type, topNode.attrs, Mark.none, Mark.none, true, options.topMatch || topNode.type.contentMatch, topOptions);\n        else if (isOpen)\n            topContext = new NodeContext(null, null, Mark.none, Mark.none, true, null, topOptions);\n        else\n            topContext = new NodeContext(parser.schema.topNodeType, null, Mark.none, Mark.none, true, null, topOptions);\n        this.nodes = [topContext];\n        this.find = options.findPositions;\n        this.needsBlock = false;\n    }\n    get top() {\n        return this.nodes[this.open];\n    }\n    // Add a DOM node to the content. Text is inserted as text node,\n    // otherwise, the node is passed to `addElement` or, if it has a\n    // `style` attribute, `addElementWithStyles`.\n    addDOM(dom) {\n        if (dom.nodeType == 3)\n            this.addTextNode(dom);\n        else if (dom.nodeType == 1)\n            this.addElement(dom);\n    }\n    withStyleRules(dom, f) {\n        let style = dom.getAttribute(\"style\");\n        if (!style)\n            return f();\n        let marks = this.readStyles(parseStyles(style));\n        if (!marks)\n            return; // A style with ignore: true\n        let [addMarks, removeMarks] = marks, top = this.top;\n        for (let i = 0; i < removeMarks.length; i++)\n            this.removePendingMark(removeMarks[i], top);\n        for (let i = 0; i < addMarks.length; i++)\n            this.addPendingMark(addMarks[i]);\n        f();\n        for (let i = 0; i < addMarks.length; i++)\n            this.removePendingMark(addMarks[i], top);\n        for (let i = 0; i < removeMarks.length; i++)\n            this.addPendingMark(removeMarks[i]);\n    }\n    addTextNode(dom) {\n        let value = dom.nodeValue;\n        let top = this.top;\n        if (top.options & OPT_PRESERVE_WS_FULL ||\n            top.inlineContext(dom) ||\n            /[^ \\t\\r\\n\\u000c]/.test(value)) {\n            if (!(top.options & OPT_PRESERVE_WS)) {\n                value = value.replace(/[ \\t\\r\\n\\u000c]+/g, \" \");\n                // If this starts with whitespace, and there is no node before it, or\n                // a hard break, or a text node that ends with whitespace, strip the\n                // leading space.\n                if (/^[ \\t\\r\\n\\u000c]/.test(value) && this.open == this.nodes.length - 1) {\n                    let nodeBefore = top.content[top.content.length - 1];\n                    let domNodeBefore = dom.previousSibling;\n                    if (!nodeBefore ||\n                        (domNodeBefore && domNodeBefore.nodeName == 'BR') ||\n                        (nodeBefore.isText && /[ \\t\\r\\n\\u000c]$/.test(nodeBefore.text)))\n                        value = value.slice(1);\n                }\n            }\n            else if (!(top.options & OPT_PRESERVE_WS_FULL)) {\n                value = value.replace(/\\r?\\n|\\r/g, \" \");\n            }\n            else {\n                value = value.replace(/\\r\\n?/g, \"\\n\");\n            }\n            if (value)\n                this.insertNode(this.parser.schema.text(value));\n            this.findInText(dom);\n        }\n        else {\n            this.findInside(dom);\n        }\n    }\n    // Try to find a handler for the given tag and use that to parse. If\n    // none is found, the element's content nodes are added directly.\n    addElement(dom, matchAfter) {\n        let name = dom.nodeName.toLowerCase(), ruleID;\n        if (listTags.hasOwnProperty(name) && this.parser.normalizeLists)\n            normalizeList(dom);\n        let rule = (this.options.ruleFromNode && this.options.ruleFromNode(dom)) ||\n            (ruleID = this.parser.matchTag(dom, this, matchAfter));\n        if (rule ? rule.ignore : ignoreTags.hasOwnProperty(name)) {\n            this.findInside(dom);\n            this.ignoreFallback(dom);\n        }\n        else if (!rule || rule.skip || rule.closeParent) {\n            if (rule && rule.closeParent)\n                this.open = Math.max(0, this.open - 1);\n            else if (rule && rule.skip.nodeType)\n                dom = rule.skip;\n            let sync, top = this.top, oldNeedsBlock = this.needsBlock;\n            if (blockTags.hasOwnProperty(name)) {\n                if (top.content.length && top.content[0].isInline && this.open) {\n                    this.open--;\n                    top = this.top;\n                }\n                sync = true;\n                if (!top.type)\n                    this.needsBlock = true;\n            }\n            else if (!dom.firstChild) {\n                this.leafFallback(dom);\n                return;\n            }\n            if (rule && rule.skip)\n                this.addAll(dom);\n            else\n                this.withStyleRules(dom, () => this.addAll(dom));\n            if (sync)\n                this.sync(top);\n            this.needsBlock = oldNeedsBlock;\n        }\n        else {\n            this.withStyleRules(dom, () => {\n                this.addElementByRule(dom, rule, rule.consuming === false ? ruleID : undefined);\n            });\n        }\n    }\n    // Called for leaf DOM nodes that would otherwise be ignored\n    leafFallback(dom) {\n        if (dom.nodeName == \"BR\" && this.top.type && this.top.type.inlineContent)\n            this.addTextNode(dom.ownerDocument.createTextNode(\"\\n\"));\n    }\n    // Called for ignored nodes\n    ignoreFallback(dom) {\n        // Ignored BR nodes should at least create an inline context\n        if (dom.nodeName == \"BR\" && (!this.top.type || !this.top.type.inlineContent))\n            this.findPlace(this.parser.schema.text(\"-\"));\n    }\n    // Run any style parser associated with the node's styles. Either\n    // return an array of marks, or null to indicate some of the styles\n    // had a rule with `ignore` set.\n    readStyles(styles) {\n        let add = Mark.none, remove = Mark.none;\n        for (let i = 0; i < styles.length; i += 2) {\n            for (let after = undefined;;) {\n                let rule = this.parser.matchStyle(styles[i], styles[i + 1], this, after);\n                if (!rule)\n                    break;\n                if (rule.ignore)\n                    return null;\n                if (rule.clearMark) {\n                    this.top.pendingMarks.concat(this.top.activeMarks).forEach(m => {\n                        if (rule.clearMark(m))\n                            remove = m.addToSet(remove);\n                    });\n                }\n                else {\n                    add = this.parser.schema.marks[rule.mark].create(rule.attrs).addToSet(add);\n                }\n                if (rule.consuming === false)\n                    after = rule;\n                else\n                    break;\n            }\n        }\n        return [add, remove];\n    }\n    // Look up a handler for the given node. If none are found, return\n    // false. Otherwise, apply it, use its return value to drive the way\n    // the node's content is wrapped, and return true.\n    addElementByRule(dom, rule, continueAfter) {\n        let sync, nodeType, mark;\n        if (rule.node) {\n            nodeType = this.parser.schema.nodes[rule.node];\n            if (!nodeType.isLeaf) {\n                sync = this.enter(nodeType, rule.attrs || null, rule.preserveWhitespace);\n            }\n            else if (!this.insertNode(nodeType.create(rule.attrs))) {\n                this.leafFallback(dom);\n            }\n        }\n        else {\n            let markType = this.parser.schema.marks[rule.mark];\n            mark = markType.create(rule.attrs);\n            this.addPendingMark(mark);\n        }\n        let startIn = this.top;\n        if (nodeType && nodeType.isLeaf) {\n            this.findInside(dom);\n        }\n        else if (continueAfter) {\n            this.addElement(dom, continueAfter);\n        }\n        else if (rule.getContent) {\n            this.findInside(dom);\n            rule.getContent(dom, this.parser.schema).forEach(node => this.insertNode(node));\n        }\n        else {\n            let contentDOM = dom;\n            if (typeof rule.contentElement == \"string\")\n                contentDOM = dom.querySelector(rule.contentElement);\n            else if (typeof rule.contentElement == \"function\")\n                contentDOM = rule.contentElement(dom);\n            else if (rule.contentElement)\n                contentDOM = rule.contentElement;\n            this.findAround(dom, contentDOM, true);\n            this.addAll(contentDOM);\n        }\n        if (sync && this.sync(startIn))\n            this.open--;\n        if (mark)\n            this.removePendingMark(mark, startIn);\n    }\n    // Add all child nodes between `startIndex` and `endIndex` (or the\n    // whole node, if not given). If `sync` is passed, use it to\n    // synchronize after every block element.\n    addAll(parent, startIndex, endIndex) {\n        let index = startIndex || 0;\n        for (let dom = startIndex ? parent.childNodes[startIndex] : parent.firstChild, end = endIndex == null ? null : parent.childNodes[endIndex]; dom != end; dom = dom.nextSibling, ++index) {\n            this.findAtPoint(parent, index);\n            this.addDOM(dom);\n        }\n        this.findAtPoint(parent, index);\n    }\n    // Try to find a way to fit the given node type into the current\n    // context. May add intermediate wrappers and/or leave non-solid\n    // nodes that we're in.\n    findPlace(node) {\n        let route, sync;\n        for (let depth = this.open; depth >= 0; depth--) {\n            let cx = this.nodes[depth];\n            let found = cx.findWrapping(node);\n            if (found && (!route || route.length > found.length)) {\n                route = found;\n                sync = cx;\n                if (!found.length)\n                    break;\n            }\n            if (cx.solid)\n                break;\n        }\n        if (!route)\n            return false;\n        this.sync(sync);\n        for (let i = 0; i < route.length; i++)\n            this.enterInner(route[i], null, false);\n        return true;\n    }\n    // Try to insert the given node, adjusting the context when needed.\n    insertNode(node) {\n        if (node.isInline && this.needsBlock && !this.top.type) {\n            let block = this.textblockFromContext();\n            if (block)\n                this.enterInner(block);\n        }\n        if (this.findPlace(node)) {\n            this.closeExtra();\n            let top = this.top;\n            top.applyPending(node.type);\n            if (top.match)\n                top.match = top.match.matchType(node.type);\n            let marks = top.activeMarks;\n            for (let i = 0; i < node.marks.length; i++)\n                if (!top.type || top.type.allowsMarkType(node.marks[i].type))\n                    marks = node.marks[i].addToSet(marks);\n            top.content.push(node.mark(marks));\n            return true;\n        }\n        return false;\n    }\n    // Try to start a node of the given type, adjusting the context when\n    // necessary.\n    enter(type, attrs, preserveWS) {\n        let ok = this.findPlace(type.create(attrs));\n        if (ok)\n            this.enterInner(type, attrs, true, preserveWS);\n        return ok;\n    }\n    // Open a node of the given type\n    enterInner(type, attrs = null, solid = false, preserveWS) {\n        this.closeExtra();\n        let top = this.top;\n        top.applyPending(type);\n        top.match = top.match && top.match.matchType(type);\n        let options = wsOptionsFor(type, preserveWS, top.options);\n        if ((top.options & OPT_OPEN_LEFT) && top.content.length == 0)\n            options |= OPT_OPEN_LEFT;\n        this.nodes.push(new NodeContext(type, attrs, top.activeMarks, top.pendingMarks, solid, null, options));\n        this.open++;\n    }\n    // Make sure all nodes above this.open are finished and added to\n    // their parents\n    closeExtra(openEnd = false) {\n        let i = this.nodes.length - 1;\n        if (i > this.open) {\n            for (; i > this.open; i--)\n                this.nodes[i - 1].content.push(this.nodes[i].finish(openEnd));\n            this.nodes.length = this.open + 1;\n        }\n    }\n    finish() {\n        this.open = 0;\n        this.closeExtra(this.isOpen);\n        return this.nodes[0].finish(this.isOpen || this.options.topOpen);\n    }\n    sync(to) {\n        for (let i = this.open; i >= 0; i--)\n            if (this.nodes[i] == to) {\n                this.open = i;\n                return true;\n            }\n        return false;\n    }\n    get currentPos() {\n        this.closeExtra();\n        let pos = 0;\n        for (let i = this.open; i >= 0; i--) {\n            let content = this.nodes[i].content;\n            for (let j = content.length - 1; j >= 0; j--)\n                pos += content[j].nodeSize;\n            if (i)\n                pos++;\n        }\n        return pos;\n    }\n    findAtPoint(parent, offset) {\n        if (this.find)\n            for (let i = 0; i < this.find.length; i++) {\n                if (this.find[i].node == parent && this.find[i].offset == offset)\n                    this.find[i].pos = this.currentPos;\n            }\n    }\n    findInside(parent) {\n        if (this.find)\n            for (let i = 0; i < this.find.length; i++) {\n                if (this.find[i].pos == null && parent.nodeType == 1 && parent.contains(this.find[i].node))\n                    this.find[i].pos = this.currentPos;\n            }\n    }\n    findAround(parent, content, before) {\n        if (parent != content && this.find)\n            for (let i = 0; i < this.find.length; i++) {\n                if (this.find[i].pos == null && parent.nodeType == 1 && parent.contains(this.find[i].node)) {\n                    let pos = content.compareDocumentPosition(this.find[i].node);\n                    if (pos & (before ? 2 : 4))\n                        this.find[i].pos = this.currentPos;\n                }\n            }\n    }\n    findInText(textNode) {\n        if (this.find)\n            for (let i = 0; i < this.find.length; i++) {\n                if (this.find[i].node == textNode)\n                    this.find[i].pos = this.currentPos - (textNode.nodeValue.length - this.find[i].offset);\n            }\n    }\n    // Determines whether the given context string matches this context.\n    matchesContext(context) {\n        if (context.indexOf(\"|\") > -1)\n            return context.split(/\\s*\\|\\s*/).some(this.matchesContext, this);\n        let parts = context.split(\"/\");\n        let option = this.options.context;\n        let useRoot = !this.isOpen && (!option || option.parent.type == this.nodes[0].type);\n        let minDepth = -(option ? option.depth + 1 : 0) + (useRoot ? 0 : 1);\n        let match = (i, depth) => {\n            for (; i >= 0; i--) {\n                let part = parts[i];\n                if (part == \"\") {\n                    if (i == parts.length - 1 || i == 0)\n                        continue;\n                    for (; depth >= minDepth; depth--)\n                        if (match(i - 1, depth))\n                            return true;\n                    return false;\n                }\n                else {\n                    let next = depth > 0 || (depth == 0 && useRoot) ? this.nodes[depth].type\n                        : option && depth >= minDepth ? option.node(depth - minDepth).type\n                            : null;\n                    if (!next || (next.name != part && next.groups.indexOf(part) == -1))\n                        return false;\n                    depth--;\n                }\n            }\n            return true;\n        };\n        return match(parts.length - 1, this.open);\n    }\n    textblockFromContext() {\n        let $context = this.options.context;\n        if ($context)\n            for (let d = $context.depth; d >= 0; d--) {\n                let deflt = $context.node(d).contentMatchAt($context.indexAfter(d)).defaultType;\n                if (deflt && deflt.isTextblock && deflt.defaultAttrs)\n                    return deflt;\n            }\n        for (let name in this.parser.schema.nodes) {\n            let type = this.parser.schema.nodes[name];\n            if (type.isTextblock && type.defaultAttrs)\n                return type;\n        }\n    }\n    addPendingMark(mark) {\n        let found = findSameMarkInSet(mark, this.top.pendingMarks);\n        if (found)\n            this.top.stashMarks.push(found);\n        this.top.pendingMarks = mark.addToSet(this.top.pendingMarks);\n    }\n    removePendingMark(mark, upto) {\n        for (let depth = this.open; depth >= 0; depth--) {\n            let level = this.nodes[depth];\n            let found = level.pendingMarks.lastIndexOf(mark);\n            if (found > -1) {\n                level.pendingMarks = mark.removeFromSet(level.pendingMarks);\n            }\n            else {\n                level.activeMarks = mark.removeFromSet(level.activeMarks);\n                let stashMark = level.popFromStashMark(mark);\n                if (stashMark && level.type && level.type.allowsMarkType(stashMark.type))\n                    level.activeMarks = stashMark.addToSet(level.activeMarks);\n            }\n            if (level == upto)\n                break;\n        }\n    }\n}\n// Kludge to work around directly nested list nodes produced by some\n// tools and allowed by browsers to mean that the nested list is\n// actually part of the list item above it.\nfunction normalizeList(dom) {\n    for (let child = dom.firstChild, prevItem = null; child; child = child.nextSibling) {\n        let name = child.nodeType == 1 ? child.nodeName.toLowerCase() : null;\n        if (name && listTags.hasOwnProperty(name) && prevItem) {\n            prevItem.appendChild(child);\n            child = prevItem;\n        }\n        else if (name == \"li\") {\n            prevItem = child;\n        }\n        else if (name) {\n            prevItem = null;\n        }\n    }\n}\n// Apply a CSS selector.\nfunction matches(dom, selector) {\n    return (dom.matches || dom.msMatchesSelector || dom.webkitMatchesSelector || dom.mozMatchesSelector).call(dom, selector);\n}\n// Tokenize a style attribute into property/value pairs.\nfunction parseStyles(style) {\n    let re = /\\s*([\\w-]+)\\s*:\\s*([^;]+)/g, m, result = [];\n    while (m = re.exec(style))\n        result.push(m[1], m[2].trim());\n    return result;\n}\nfunction copy(obj) {\n    let copy = {};\n    for (let prop in obj)\n        copy[prop] = obj[prop];\n    return copy;\n}\n// Used when finding a mark at the top level of a fragment parse.\n// Checks whether it would be reasonable to apply a given mark type to\n// a given node, by looking at the way the mark occurs in the schema.\nfunction markMayApply(markType, nodeType) {\n    let nodes = nodeType.schema.nodes;\n    for (let name in nodes) {\n        let parent = nodes[name];\n        if (!parent.allowsMarkType(markType))\n            continue;\n        let seen = [], scan = (match) => {\n            seen.push(match);\n            for (let i = 0; i < match.edgeCount; i++) {\n                let { type, next } = match.edge(i);\n                if (type == nodeType)\n                    return true;\n                if (seen.indexOf(next) < 0 && scan(next))\n                    return true;\n            }\n        };\n        if (scan(parent.contentMatch))\n            return true;\n    }\n}\nfunction findSameMarkInSet(mark, set) {\n    for (let i = 0; i < set.length; i++) {\n        if (mark.eq(set[i]))\n            return set[i];\n    }\n}\n\n/**\nA DOM serializer knows how to convert ProseMirror nodes and\nmarks of various types to DOM nodes.\n*/\nclass DOMSerializer {\n    /**\n    Create a serializer. `nodes` should map node names to functions\n    that take a node and return a description of the corresponding\n    DOM. `marks` does the same for mark names, but also gets an\n    argument that tells it whether the mark's content is block or\n    inline content (for typical use, it'll always be inline). A mark\n    serializer may be `null` to indicate that marks of that type\n    should not be serialized.\n    */\n    constructor(\n    /**\n    The node serialization functions.\n    */\n    nodes, \n    /**\n    The mark serialization functions.\n    */\n    marks) {\n        this.nodes = nodes;\n        this.marks = marks;\n    }\n    /**\n    Serialize the content of this fragment to a DOM fragment. When\n    not in the browser, the `document` option, containing a DOM\n    document, should be passed so that the serializer can create\n    nodes.\n    */\n    serializeFragment(fragment, options = {}, target) {\n        if (!target)\n            target = doc(options).createDocumentFragment();\n        let top = target, active = [];\n        fragment.forEach(node => {\n            if (active.length || node.marks.length) {\n                let keep = 0, rendered = 0;\n                while (keep < active.length && rendered < node.marks.length) {\n                    let next = node.marks[rendered];\n                    if (!this.marks[next.type.name]) {\n                        rendered++;\n                        continue;\n                    }\n                    if (!next.eq(active[keep][0]) || next.type.spec.spanning === false)\n                        break;\n                    keep++;\n                    rendered++;\n                }\n                while (keep < active.length)\n                    top = active.pop()[1];\n                while (rendered < node.marks.length) {\n                    let add = node.marks[rendered++];\n                    let markDOM = this.serializeMark(add, node.isInline, options);\n                    if (markDOM) {\n                        active.push([add, top]);\n                        top.appendChild(markDOM.dom);\n                        top = markDOM.contentDOM || markDOM.dom;\n                    }\n                }\n            }\n            top.appendChild(this.serializeNodeInner(node, options));\n        });\n        return target;\n    }\n    /**\n    @internal\n    */\n    serializeNodeInner(node, options) {\n        let { dom, contentDOM } = DOMSerializer.renderSpec(doc(options), this.nodes[node.type.name](node));\n        if (contentDOM) {\n            if (node.isLeaf)\n                throw new RangeError(\"Content hole not allowed in a leaf node spec\");\n            this.serializeFragment(node.content, options, contentDOM);\n        }\n        return dom;\n    }\n    /**\n    Serialize this node to a DOM node. This can be useful when you\n    need to serialize a part of a document, as opposed to the whole\n    document. To serialize a whole document, use\n    [`serializeFragment`](https://prosemirror.net/docs/ref/#model.DOMSerializer.serializeFragment) on\n    its [content](https://prosemirror.net/docs/ref/#model.Node.content).\n    */\n    serializeNode(node, options = {}) {\n        let dom = this.serializeNodeInner(node, options);\n        for (let i = node.marks.length - 1; i >= 0; i--) {\n            let wrap = this.serializeMark(node.marks[i], node.isInline, options);\n            if (wrap) {\n                (wrap.contentDOM || wrap.dom).appendChild(dom);\n                dom = wrap.dom;\n            }\n        }\n        return dom;\n    }\n    /**\n    @internal\n    */\n    serializeMark(mark, inline, options = {}) {\n        let toDOM = this.marks[mark.type.name];\n        return toDOM && DOMSerializer.renderSpec(doc(options), toDOM(mark, inline));\n    }\n    /**\n    Render an [output spec](https://prosemirror.net/docs/ref/#model.DOMOutputSpec) to a DOM node. If\n    the spec has a hole (zero) in it, `contentDOM` will point at the\n    node with the hole.\n    */\n    static renderSpec(doc, structure, xmlNS = null) {\n        if (typeof structure == \"string\")\n            return { dom: doc.createTextNode(structure) };\n        if (structure.nodeType != null)\n            return { dom: structure };\n        if (structure.dom && structure.dom.nodeType != null)\n            return structure;\n        let tagName = structure[0], space = tagName.indexOf(\" \");\n        if (space > 0) {\n            xmlNS = tagName.slice(0, space);\n            tagName = tagName.slice(space + 1);\n        }\n        let contentDOM;\n        let dom = (xmlNS ? doc.createElementNS(xmlNS, tagName) : doc.createElement(tagName));\n        let attrs = structure[1], start = 1;\n        if (attrs && typeof attrs == \"object\" && attrs.nodeType == null && !Array.isArray(attrs)) {\n            start = 2;\n            for (let name in attrs)\n                if (attrs[name] != null) {\n                    let space = name.indexOf(\" \");\n                    if (space > 0)\n                        dom.setAttributeNS(name.slice(0, space), name.slice(space + 1), attrs[name]);\n                    else\n                        dom.setAttribute(name, attrs[name]);\n                }\n        }\n        for (let i = start; i < structure.length; i++) {\n            let child = structure[i];\n            if (child === 0) {\n                if (i < structure.length - 1 || i > start)\n                    throw new RangeError(\"Content hole must be the only child of its parent node\");\n                return { dom, contentDOM: dom };\n            }\n            else {\n                let { dom: inner, contentDOM: innerContent } = DOMSerializer.renderSpec(doc, child, xmlNS);\n                dom.appendChild(inner);\n                if (innerContent) {\n                    if (contentDOM)\n                        throw new RangeError(\"Multiple content holes\");\n                    contentDOM = innerContent;\n                }\n            }\n        }\n        return { dom, contentDOM };\n    }\n    /**\n    Build a serializer using the [`toDOM`](https://prosemirror.net/docs/ref/#model.NodeSpec.toDOM)\n    properties in a schema's node and mark specs.\n    */\n    static fromSchema(schema) {\n        return schema.cached.domSerializer ||\n            (schema.cached.domSerializer = new DOMSerializer(this.nodesFromSchema(schema), this.marksFromSchema(schema)));\n    }\n    /**\n    Gather the serializers in a schema's node specs into an object.\n    This can be useful as a base to build a custom serializer from.\n    */\n    static nodesFromSchema(schema) {\n        let result = gatherToDOM(schema.nodes);\n        if (!result.text)\n            result.text = node => node.text;\n        return result;\n    }\n    /**\n    Gather the serializers in a schema's mark specs into an object.\n    */\n    static marksFromSchema(schema) {\n        return gatherToDOM(schema.marks);\n    }\n}\nfunction gatherToDOM(obj) {\n    let result = {};\n    for (let name in obj) {\n        let toDOM = obj[name].spec.toDOM;\n        if (toDOM)\n            result[name] = toDOM;\n    }\n    return result;\n}\nfunction doc(options) {\n    return options.document || window.document;\n}\n\nexport { ContentMatch, DOMParser, DOMSerializer, Fragment, Mark, MarkType, Node, NodeRange, NodeType, ReplaceError, ResolvedPos, Schema, Slice };\n","import { ReplaceError, Slice, Fragment, MarkType, Mark } from 'prosemirror-model';\n\n// Recovery values encode a range index and an offset. They are\n// represented as numbers, because tons of them will be created when\n// mapping, for example, a large number of decorations. The number's\n// lower 16 bits provide the index, the remaining bits the offset.\n//\n// Note: We intentionally don't use bit shift operators to en- and\n// decode these, since those clip to 32 bits, which we might in rare\n// cases want to overflow. A 64-bit float can represent 48-bit\n// integers precisely.\nconst lower16 = 0xffff;\nconst factor16 = Math.pow(2, 16);\nfunction makeRecover(index, offset) { return index + offset * factor16; }\nfunction recoverIndex(value) { return value & lower16; }\nfunction recoverOffset(value) { return (value - (value & lower16)) / factor16; }\nconst DEL_BEFORE = 1, DEL_AFTER = 2, DEL_ACROSS = 4, DEL_SIDE = 8;\n/**\nAn object representing a mapped position with extra\ninformation.\n*/\nclass MapResult {\n    /**\n    @internal\n    */\n    constructor(\n    /**\n    The mapped version of the position.\n    */\n    pos, \n    /**\n    @internal\n    */\n    delInfo, \n    /**\n    @internal\n    */\n    recover) {\n        this.pos = pos;\n        this.delInfo = delInfo;\n        this.recover = recover;\n    }\n    /**\n    Tells you whether the position was deleted, that is, whether the\n    step removed the token on the side queried (via the `assoc`)\n    argument from the document.\n    */\n    get deleted() { return (this.delInfo & DEL_SIDE) > 0; }\n    /**\n    Tells you whether the token before the mapped position was deleted.\n    */\n    get deletedBefore() { return (this.delInfo & (DEL_BEFORE | DEL_ACROSS)) > 0; }\n    /**\n    True when the token after the mapped position was deleted.\n    */\n    get deletedAfter() { return (this.delInfo & (DEL_AFTER | DEL_ACROSS)) > 0; }\n    /**\n    Tells whether any of the steps mapped through deletes across the\n    position (including both the token before and after the\n    position).\n    */\n    get deletedAcross() { return (this.delInfo & DEL_ACROSS) > 0; }\n}\n/**\nA map describing the deletions and insertions made by a step, which\ncan be used to find the correspondence between positions in the\npre-step version of a document and the same position in the\npost-step version.\n*/\nclass StepMap {\n    /**\n    Create a position map. The modifications to the document are\n    represented as an array of numbers, in which each group of three\n    represents a modified chunk as `[start, oldSize, newSize]`.\n    */\n    constructor(\n    /**\n    @internal\n    */\n    ranges, \n    /**\n    @internal\n    */\n    inverted = false) {\n        this.ranges = ranges;\n        this.inverted = inverted;\n        if (!ranges.length && StepMap.empty)\n            return StepMap.empty;\n    }\n    /**\n    @internal\n    */\n    recover(value) {\n        let diff = 0, index = recoverIndex(value);\n        if (!this.inverted)\n            for (let i = 0; i < index; i++)\n                diff += this.ranges[i * 3 + 2] - this.ranges[i * 3 + 1];\n        return this.ranges[index * 3] + diff + recoverOffset(value);\n    }\n    mapResult(pos, assoc = 1) { return this._map(pos, assoc, false); }\n    map(pos, assoc = 1) { return this._map(pos, assoc, true); }\n    /**\n    @internal\n    */\n    _map(pos, assoc, simple) {\n        let diff = 0, oldIndex = this.inverted ? 2 : 1, newIndex = this.inverted ? 1 : 2;\n        for (let i = 0; i < this.ranges.length; i += 3) {\n            let start = this.ranges[i] - (this.inverted ? diff : 0);\n            if (start > pos)\n                break;\n            let oldSize = this.ranges[i + oldIndex], newSize = this.ranges[i + newIndex], end = start + oldSize;\n            if (pos <= end) {\n                let side = !oldSize ? assoc : pos == start ? -1 : pos == end ? 1 : assoc;\n                let result = start + diff + (side < 0 ? 0 : newSize);\n                if (simple)\n                    return result;\n                let recover = pos == (assoc < 0 ? start : end) ? null : makeRecover(i / 3, pos - start);\n                let del = pos == start ? DEL_AFTER : pos == end ? DEL_BEFORE : DEL_ACROSS;\n                if (assoc < 0 ? pos != start : pos != end)\n                    del |= DEL_SIDE;\n                return new MapResult(result, del, recover);\n            }\n            diff += newSize - oldSize;\n        }\n        return simple ? pos + diff : new MapResult(pos + diff, 0, null);\n    }\n    /**\n    @internal\n    */\n    touches(pos, recover) {\n        let diff = 0, index = recoverIndex(recover);\n        let oldIndex = this.inverted ? 2 : 1, newIndex = this.inverted ? 1 : 2;\n        for (let i = 0; i < this.ranges.length; i += 3) {\n            let start = this.ranges[i] - (this.inverted ? diff : 0);\n            if (start > pos)\n                break;\n            let oldSize = this.ranges[i + oldIndex], end = start + oldSize;\n            if (pos <= end && i == index * 3)\n                return true;\n            diff += this.ranges[i + newIndex] - oldSize;\n        }\n        return false;\n    }\n    /**\n    Calls the given function on each of the changed ranges included in\n    this map.\n    */\n    forEach(f) {\n        let oldIndex = this.inverted ? 2 : 1, newIndex = this.inverted ? 1 : 2;\n        for (let i = 0, diff = 0; i < this.ranges.length; i += 3) {\n            let start = this.ranges[i], oldStart = start - (this.inverted ? diff : 0), newStart = start + (this.inverted ? 0 : diff);\n            let oldSize = this.ranges[i + oldIndex], newSize = this.ranges[i + newIndex];\n            f(oldStart, oldStart + oldSize, newStart, newStart + newSize);\n            diff += newSize - oldSize;\n        }\n    }\n    /**\n    Create an inverted version of this map. The result can be used to\n    map positions in the post-step document to the pre-step document.\n    */\n    invert() {\n        return new StepMap(this.ranges, !this.inverted);\n    }\n    /**\n    @internal\n    */\n    toString() {\n        return (this.inverted ? \"-\" : \"\") + JSON.stringify(this.ranges);\n    }\n    /**\n    Create a map that moves all positions by offset `n` (which may be\n    negative). This can be useful when applying steps meant for a\n    sub-document to a larger document, or vice-versa.\n    */\n    static offset(n) {\n        return n == 0 ? StepMap.empty : new StepMap(n < 0 ? [0, -n, 0] : [0, 0, n]);\n    }\n}\n/**\nA StepMap that contains no changed ranges.\n*/\nStepMap.empty = new StepMap([]);\n/**\nA mapping represents a pipeline of zero or more [step\nmaps](https://prosemirror.net/docs/ref/#transform.StepMap). It has special provisions for losslessly\nhandling mapping positions through a series of steps in which some\nsteps are inverted versions of earlier steps. (This comes up when\n‘[rebasing](/docs/guide/#transform.rebasing)’ steps for\ncollaboration or history management.)\n*/\nclass Mapping {\n    /**\n    Create a new mapping with the given position maps.\n    */\n    constructor(\n    /**\n    The step maps in this mapping.\n    */\n    maps = [], \n    /**\n    @internal\n    */\n    mirror, \n    /**\n    The starting position in the `maps` array, used when `map` or\n    `mapResult` is called.\n    */\n    from = 0, \n    /**\n    The end position in the `maps` array.\n    */\n    to = maps.length) {\n        this.maps = maps;\n        this.mirror = mirror;\n        this.from = from;\n        this.to = to;\n    }\n    /**\n    Create a mapping that maps only through a part of this one.\n    */\n    slice(from = 0, to = this.maps.length) {\n        return new Mapping(this.maps, this.mirror, from, to);\n    }\n    /**\n    @internal\n    */\n    copy() {\n        return new Mapping(this.maps.slice(), this.mirror && this.mirror.slice(), this.from, this.to);\n    }\n    /**\n    Add a step map to the end of this mapping. If `mirrors` is\n    given, it should be the index of the step map that is the mirror\n    image of this one.\n    */\n    appendMap(map, mirrors) {\n        this.to = this.maps.push(map);\n        if (mirrors != null)\n            this.setMirror(this.maps.length - 1, mirrors);\n    }\n    /**\n    Add all the step maps in a given mapping to this one (preserving\n    mirroring information).\n    */\n    appendMapping(mapping) {\n        for (let i = 0, startSize = this.maps.length; i < mapping.maps.length; i++) {\n            let mirr = mapping.getMirror(i);\n            this.appendMap(mapping.maps[i], mirr != null && mirr < i ? startSize + mirr : undefined);\n        }\n    }\n    /**\n    Finds the offset of the step map that mirrors the map at the\n    given offset, in this mapping (as per the second argument to\n    `appendMap`).\n    */\n    getMirror(n) {\n        if (this.mirror)\n            for (let i = 0; i < this.mirror.length; i++)\n                if (this.mirror[i] == n)\n                    return this.mirror[i + (i % 2 ? -1 : 1)];\n    }\n    /**\n    @internal\n    */\n    setMirror(n, m) {\n        if (!this.mirror)\n            this.mirror = [];\n        this.mirror.push(n, m);\n    }\n    /**\n    Append the inverse of the given mapping to this one.\n    */\n    appendMappingInverted(mapping) {\n        for (let i = mapping.maps.length - 1, totalSize = this.maps.length + mapping.maps.length; i >= 0; i--) {\n            let mirr = mapping.getMirror(i);\n            this.appendMap(mapping.maps[i].invert(), mirr != null && mirr > i ? totalSize - mirr - 1 : undefined);\n        }\n    }\n    /**\n    Create an inverted version of this mapping.\n    */\n    invert() {\n        let inverse = new Mapping;\n        inverse.appendMappingInverted(this);\n        return inverse;\n    }\n    /**\n    Map a position through this mapping.\n    */\n    map(pos, assoc = 1) {\n        if (this.mirror)\n            return this._map(pos, assoc, true);\n        for (let i = this.from; i < this.to; i++)\n            pos = this.maps[i].map(pos, assoc);\n        return pos;\n    }\n    /**\n    Map a position through this mapping, returning a mapping\n    result.\n    */\n    mapResult(pos, assoc = 1) { return this._map(pos, assoc, false); }\n    /**\n    @internal\n    */\n    _map(pos, assoc, simple) {\n        let delInfo = 0;\n        for (let i = this.from; i < this.to; i++) {\n            let map = this.maps[i], result = map.mapResult(pos, assoc);\n            if (result.recover != null) {\n                let corr = this.getMirror(i);\n                if (corr != null && corr > i && corr < this.to) {\n                    i = corr;\n                    pos = this.maps[corr].recover(result.recover);\n                    continue;\n                }\n            }\n            delInfo |= result.delInfo;\n            pos = result.pos;\n        }\n        return simple ? pos : new MapResult(pos, delInfo, null);\n    }\n}\n\nconst stepsByID = Object.create(null);\n/**\nA step object represents an atomic change. It generally applies\nonly to the document it was created for, since the positions\nstored in it will only make sense for that document.\n\nNew steps are defined by creating classes that extend `Step`,\noverriding the `apply`, `invert`, `map`, `getMap` and `fromJSON`\nmethods, and registering your class with a unique\nJSON-serialization identifier using\n[`Step.jsonID`](https://prosemirror.net/docs/ref/#transform.Step^jsonID).\n*/\nclass Step {\n    /**\n    Get the step map that represents the changes made by this step,\n    and which can be used to transform between positions in the old\n    and the new document.\n    */\n    getMap() { return StepMap.empty; }\n    /**\n    Try to merge this step with another one, to be applied directly\n    after it. Returns the merged step when possible, null if the\n    steps can't be merged.\n    */\n    merge(other) { return null; }\n    /**\n    Deserialize a step from its JSON representation. Will call\n    through to the step class' own implementation of this method.\n    */\n    static fromJSON(schema, json) {\n        if (!json || !json.stepType)\n            throw new RangeError(\"Invalid input for Step.fromJSON\");\n        let type = stepsByID[json.stepType];\n        if (!type)\n            throw new RangeError(`No step type ${json.stepType} defined`);\n        return type.fromJSON(schema, json);\n    }\n    /**\n    To be able to serialize steps to JSON, each step needs a string\n    ID to attach to its JSON representation. Use this method to\n    register an ID for your step classes. Try to pick something\n    that's unlikely to clash with steps from other modules.\n    */\n    static jsonID(id, stepClass) {\n        if (id in stepsByID)\n            throw new RangeError(\"Duplicate use of step JSON ID \" + id);\n        stepsByID[id] = stepClass;\n        stepClass.prototype.jsonID = id;\n        return stepClass;\n    }\n}\n/**\nThe result of [applying](https://prosemirror.net/docs/ref/#transform.Step.apply) a step. Contains either a\nnew document or a failure value.\n*/\nclass StepResult {\n    /**\n    @internal\n    */\n    constructor(\n    /**\n    The transformed document, if successful.\n    */\n    doc, \n    /**\n    The failure message, if unsuccessful.\n    */\n    failed) {\n        this.doc = doc;\n        this.failed = failed;\n    }\n    /**\n    Create a successful step result.\n    */\n    static ok(doc) { return new StepResult(doc, null); }\n    /**\n    Create a failed step result.\n    */\n    static fail(message) { return new StepResult(null, message); }\n    /**\n    Call [`Node.replace`](https://prosemirror.net/docs/ref/#model.Node.replace) with the given\n    arguments. Create a successful result if it succeeds, and a\n    failed one if it throws a `ReplaceError`.\n    */\n    static fromReplace(doc, from, to, slice) {\n        try {\n            return StepResult.ok(doc.replace(from, to, slice));\n        }\n        catch (e) {\n            if (e instanceof ReplaceError)\n                return StepResult.fail(e.message);\n            throw e;\n        }\n    }\n}\n\nfunction mapFragment(fragment, f, parent) {\n    let mapped = [];\n    for (let i = 0; i < fragment.childCount; i++) {\n        let child = fragment.child(i);\n        if (child.content.size)\n            child = child.copy(mapFragment(child.content, f, child));\n        if (child.isInline)\n            child = f(child, parent, i);\n        mapped.push(child);\n    }\n    return Fragment.fromArray(mapped);\n}\n/**\nAdd a mark to all inline content between two positions.\n*/\nclass AddMarkStep extends Step {\n    /**\n    Create a mark step.\n    */\n    constructor(\n    /**\n    The start of the marked range.\n    */\n    from, \n    /**\n    The end of the marked range.\n    */\n    to, \n    /**\n    The mark to add.\n    */\n    mark) {\n        super();\n        this.from = from;\n        this.to = to;\n        this.mark = mark;\n    }\n    apply(doc) {\n        let oldSlice = doc.slice(this.from, this.to), $from = doc.resolve(this.from);\n        let parent = $from.node($from.sharedDepth(this.to));\n        let slice = new Slice(mapFragment(oldSlice.content, (node, parent) => {\n            if (!node.isAtom || !parent.type.allowsMarkType(this.mark.type))\n                return node;\n            return node.mark(this.mark.addToSet(node.marks));\n        }, parent), oldSlice.openStart, oldSlice.openEnd);\n        return StepResult.fromReplace(doc, this.from, this.to, slice);\n    }\n    invert() {\n        return new RemoveMarkStep(this.from, this.to, this.mark);\n    }\n    map(mapping) {\n        let from = mapping.mapResult(this.from, 1), to = mapping.mapResult(this.to, -1);\n        if (from.deleted && to.deleted || from.pos >= to.pos)\n            return null;\n        return new AddMarkStep(from.pos, to.pos, this.mark);\n    }\n    merge(other) {\n        if (other instanceof AddMarkStep &&\n            other.mark.eq(this.mark) &&\n            this.from <= other.to && this.to >= other.from)\n            return new AddMarkStep(Math.min(this.from, other.from), Math.max(this.to, other.to), this.mark);\n        return null;\n    }\n    toJSON() {\n        return { stepType: \"addMark\", mark: this.mark.toJSON(),\n            from: this.from, to: this.to };\n    }\n    /**\n    @internal\n    */\n    static fromJSON(schema, json) {\n        if (typeof json.from != \"number\" || typeof json.to != \"number\")\n            throw new RangeError(\"Invalid input for AddMarkStep.fromJSON\");\n        return new AddMarkStep(json.from, json.to, schema.markFromJSON(json.mark));\n    }\n}\nStep.jsonID(\"addMark\", AddMarkStep);\n/**\nRemove a mark from all inline content between two positions.\n*/\nclass RemoveMarkStep extends Step {\n    /**\n    Create a mark-removing step.\n    */\n    constructor(\n    /**\n    The start of the unmarked range.\n    */\n    from, \n    /**\n    The end of the unmarked range.\n    */\n    to, \n    /**\n    The mark to remove.\n    */\n    mark) {\n        super();\n        this.from = from;\n        this.to = to;\n        this.mark = mark;\n    }\n    apply(doc) {\n        let oldSlice = doc.slice(this.from, this.to);\n        let slice = new Slice(mapFragment(oldSlice.content, node => {\n            return node.mark(this.mark.removeFromSet(node.marks));\n        }, doc), oldSlice.openStart, oldSlice.openEnd);\n        return StepResult.fromReplace(doc, this.from, this.to, slice);\n    }\n    invert() {\n        return new AddMarkStep(this.from, this.to, this.mark);\n    }\n    map(mapping) {\n        let from = mapping.mapResult(this.from, 1), to = mapping.mapResult(this.to, -1);\n        if (from.deleted && to.deleted || from.pos >= to.pos)\n            return null;\n        return new RemoveMarkStep(from.pos, to.pos, this.mark);\n    }\n    merge(other) {\n        if (other instanceof RemoveMarkStep &&\n            other.mark.eq(this.mark) &&\n            this.from <= other.to && this.to >= other.from)\n            return new RemoveMarkStep(Math.min(this.from, other.from), Math.max(this.to, other.to), this.mark);\n        return null;\n    }\n    toJSON() {\n        return { stepType: \"removeMark\", mark: this.mark.toJSON(),\n            from: this.from, to: this.to };\n    }\n    /**\n    @internal\n    */\n    static fromJSON(schema, json) {\n        if (typeof json.from != \"number\" || typeof json.to != \"number\")\n            throw new RangeError(\"Invalid input for RemoveMarkStep.fromJSON\");\n        return new RemoveMarkStep(json.from, json.to, schema.markFromJSON(json.mark));\n    }\n}\nStep.jsonID(\"removeMark\", RemoveMarkStep);\n/**\nAdd a mark to a specific node.\n*/\nclass AddNodeMarkStep extends Step {\n    /**\n    Create a node mark step.\n    */\n    constructor(\n    /**\n    The position of the target node.\n    */\n    pos, \n    /**\n    The mark to add.\n    */\n    mark) {\n        super();\n        this.pos = pos;\n        this.mark = mark;\n    }\n    apply(doc) {\n        let node = doc.nodeAt(this.pos);\n        if (!node)\n            return StepResult.fail(\"No node at mark step's position\");\n        let updated = node.type.create(node.attrs, null, this.mark.addToSet(node.marks));\n        return StepResult.fromReplace(doc, this.pos, this.pos + 1, new Slice(Fragment.from(updated), 0, node.isLeaf ? 0 : 1));\n    }\n    invert(doc) {\n        let node = doc.nodeAt(this.pos);\n        if (node) {\n            let newSet = this.mark.addToSet(node.marks);\n            if (newSet.length == node.marks.length) {\n                for (let i = 0; i < node.marks.length; i++)\n                    if (!node.marks[i].isInSet(newSet))\n                        return new AddNodeMarkStep(this.pos, node.marks[i]);\n                return new AddNodeMarkStep(this.pos, this.mark);\n            }\n        }\n        return new RemoveNodeMarkStep(this.pos, this.mark);\n    }\n    map(mapping) {\n        let pos = mapping.mapResult(this.pos, 1);\n        return pos.deletedAfter ? null : new AddNodeMarkStep(pos.pos, this.mark);\n    }\n    toJSON() {\n        return { stepType: \"addNodeMark\", pos: this.pos, mark: this.mark.toJSON() };\n    }\n    /**\n    @internal\n    */\n    static fromJSON(schema, json) {\n        if (typeof json.pos != \"number\")\n            throw new RangeError(\"Invalid input for AddNodeMarkStep.fromJSON\");\n        return new AddNodeMarkStep(json.pos, schema.markFromJSON(json.mark));\n    }\n}\nStep.jsonID(\"addNodeMark\", AddNodeMarkStep);\n/**\nRemove a mark from a specific node.\n*/\nclass RemoveNodeMarkStep extends Step {\n    /**\n    Create a mark-removing step.\n    */\n    constructor(\n    /**\n    The position of the target node.\n    */\n    pos, \n    /**\n    The mark to remove.\n    */\n    mark) {\n        super();\n        this.pos = pos;\n        this.mark = mark;\n    }\n    apply(doc) {\n        let node = doc.nodeAt(this.pos);\n        if (!node)\n            return StepResult.fail(\"No node at mark step's position\");\n        let updated = node.type.create(node.attrs, null, this.mark.removeFromSet(node.marks));\n        return StepResult.fromReplace(doc, this.pos, this.pos + 1, new Slice(Fragment.from(updated), 0, node.isLeaf ? 0 : 1));\n    }\n    invert(doc) {\n        let node = doc.nodeAt(this.pos);\n        if (!node || !this.mark.isInSet(node.marks))\n            return this;\n        return new AddNodeMarkStep(this.pos, this.mark);\n    }\n    map(mapping) {\n        let pos = mapping.mapResult(this.pos, 1);\n        return pos.deletedAfter ? null : new RemoveNodeMarkStep(pos.pos, this.mark);\n    }\n    toJSON() {\n        return { stepType: \"removeNodeMark\", pos: this.pos, mark: this.mark.toJSON() };\n    }\n    /**\n    @internal\n    */\n    static fromJSON(schema, json) {\n        if (typeof json.pos != \"number\")\n            throw new RangeError(\"Invalid input for RemoveNodeMarkStep.fromJSON\");\n        return new RemoveNodeMarkStep(json.pos, schema.markFromJSON(json.mark));\n    }\n}\nStep.jsonID(\"removeNodeMark\", RemoveNodeMarkStep);\n\n/**\nReplace a part of the document with a slice of new content.\n*/\nclass ReplaceStep extends Step {\n    /**\n    The given `slice` should fit the 'gap' between `from` and\n    `to`—the depths must line up, and the surrounding nodes must be\n    able to be joined with the open sides of the slice. When\n    `structure` is true, the step will fail if the content between\n    from and to is not just a sequence of closing and then opening\n    tokens (this is to guard against rebased replace steps\n    overwriting something they weren't supposed to).\n    */\n    constructor(\n    /**\n    The start position of the replaced range.\n    */\n    from, \n    /**\n    The end position of the replaced range.\n    */\n    to, \n    /**\n    The slice to insert.\n    */\n    slice, \n    /**\n    @internal\n    */\n    structure = false) {\n        super();\n        this.from = from;\n        this.to = to;\n        this.slice = slice;\n        this.structure = structure;\n    }\n    apply(doc) {\n        if (this.structure && contentBetween(doc, this.from, this.to))\n            return StepResult.fail(\"Structure replace would overwrite content\");\n        return StepResult.fromReplace(doc, this.from, this.to, this.slice);\n    }\n    getMap() {\n        return new StepMap([this.from, this.to - this.from, this.slice.size]);\n    }\n    invert(doc) {\n        return new ReplaceStep(this.from, this.from + this.slice.size, doc.slice(this.from, this.to));\n    }\n    map(mapping) {\n        let from = mapping.mapResult(this.from, 1), to = mapping.mapResult(this.to, -1);\n        if (from.deletedAcross && to.deletedAcross)\n            return null;\n        return new ReplaceStep(from.pos, Math.max(from.pos, to.pos), this.slice);\n    }\n    merge(other) {\n        if (!(other instanceof ReplaceStep) || other.structure || this.structure)\n            return null;\n        if (this.from + this.slice.size == other.from && !this.slice.openEnd && !other.slice.openStart) {\n            let slice = this.slice.size + other.slice.size == 0 ? Slice.empty\n                : new Slice(this.slice.content.append(other.slice.content), this.slice.openStart, other.slice.openEnd);\n            return new ReplaceStep(this.from, this.to + (other.to - other.from), slice, this.structure);\n        }\n        else if (other.to == this.from && !this.slice.openStart && !other.slice.openEnd) {\n            let slice = this.slice.size + other.slice.size == 0 ? Slice.empty\n                : new Slice(other.slice.content.append(this.slice.content), other.slice.openStart, this.slice.openEnd);\n            return new ReplaceStep(other.from, this.to, slice, this.structure);\n        }\n        else {\n            return null;\n        }\n    }\n    toJSON() {\n        let json = { stepType: \"replace\", from: this.from, to: this.to };\n        if (this.slice.size)\n            json.slice = this.slice.toJSON();\n        if (this.structure)\n            json.structure = true;\n        return json;\n    }\n    /**\n    @internal\n    */\n    static fromJSON(schema, json) {\n        if (typeof json.from != \"number\" || typeof json.to != \"number\")\n            throw new RangeError(\"Invalid input for ReplaceStep.fromJSON\");\n        return new ReplaceStep(json.from, json.to, Slice.fromJSON(schema, json.slice), !!json.structure);\n    }\n}\nStep.jsonID(\"replace\", ReplaceStep);\n/**\nReplace a part of the document with a slice of content, but\npreserve a range of the replaced content by moving it into the\nslice.\n*/\nclass ReplaceAroundStep extends Step {\n    /**\n    Create a replace-around step with the given range and gap.\n    `insert` should be the point in the slice into which the content\n    of the gap should be moved. `structure` has the same meaning as\n    it has in the [`ReplaceStep`](https://prosemirror.net/docs/ref/#transform.ReplaceStep) class.\n    */\n    constructor(\n    /**\n    The start position of the replaced range.\n    */\n    from, \n    /**\n    The end position of the replaced range.\n    */\n    to, \n    /**\n    The start of preserved range.\n    */\n    gapFrom, \n    /**\n    The end of preserved range.\n    */\n    gapTo, \n    /**\n    The slice to insert.\n    */\n    slice, \n    /**\n    The position in the slice where the preserved range should be\n    inserted.\n    */\n    insert, \n    /**\n    @internal\n    */\n    structure = false) {\n        super();\n        this.from = from;\n        this.to = to;\n        this.gapFrom = gapFrom;\n        this.gapTo = gapTo;\n        this.slice = slice;\n        this.insert = insert;\n        this.structure = structure;\n    }\n    apply(doc) {\n        if (this.structure && (contentBetween(doc, this.from, this.gapFrom) ||\n            contentBetween(doc, this.gapTo, this.to)))\n            return StepResult.fail(\"Structure gap-replace would overwrite content\");\n        let gap = doc.slice(this.gapFrom, this.gapTo);\n        if (gap.openStart || gap.openEnd)\n            return StepResult.fail(\"Gap is not a flat range\");\n        let inserted = this.slice.insertAt(this.insert, gap.content);\n        if (!inserted)\n            return StepResult.fail(\"Content does not fit in gap\");\n        return StepResult.fromReplace(doc, this.from, this.to, inserted);\n    }\n    getMap() {\n        return new StepMap([this.from, this.gapFrom - this.from, this.insert,\n            this.gapTo, this.to - this.gapTo, this.slice.size - this.insert]);\n    }\n    invert(doc) {\n        let gap = this.gapTo - this.gapFrom;\n        return new ReplaceAroundStep(this.from, this.from + this.slice.size + gap, this.from + this.insert, this.from + this.insert + gap, doc.slice(this.from, this.to).removeBetween(this.gapFrom - this.from, this.gapTo - this.from), this.gapFrom - this.from, this.structure);\n    }\n    map(mapping) {\n        let from = mapping.mapResult(this.from, 1), to = mapping.mapResult(this.to, -1);\n        let gapFrom = mapping.map(this.gapFrom, -1), gapTo = mapping.map(this.gapTo, 1);\n        if ((from.deletedAcross && to.deletedAcross) || gapFrom < from.pos || gapTo > to.pos)\n            return null;\n        return new ReplaceAroundStep(from.pos, to.pos, gapFrom, gapTo, this.slice, this.insert, this.structure);\n    }\n    toJSON() {\n        let json = { stepType: \"replaceAround\", from: this.from, to: this.to,\n            gapFrom: this.gapFrom, gapTo: this.gapTo, insert: this.insert };\n        if (this.slice.size)\n            json.slice = this.slice.toJSON();\n        if (this.structure)\n            json.structure = true;\n        return json;\n    }\n    /**\n    @internal\n    */\n    static fromJSON(schema, json) {\n        if (typeof json.from != \"number\" || typeof json.to != \"number\" ||\n            typeof json.gapFrom != \"number\" || typeof json.gapTo != \"number\" || typeof json.insert != \"number\")\n            throw new RangeError(\"Invalid input for ReplaceAroundStep.fromJSON\");\n        return new ReplaceAroundStep(json.from, json.to, json.gapFrom, json.gapTo, Slice.fromJSON(schema, json.slice), json.insert, !!json.structure);\n    }\n}\nStep.jsonID(\"replaceAround\", ReplaceAroundStep);\nfunction contentBetween(doc, from, to) {\n    let $from = doc.resolve(from), dist = to - from, depth = $from.depth;\n    while (dist > 0 && depth > 0 && $from.indexAfter(depth) == $from.node(depth).childCount) {\n        depth--;\n        dist--;\n    }\n    if (dist > 0) {\n        let next = $from.node(depth).maybeChild($from.indexAfter(depth));\n        while (dist > 0) {\n            if (!next || next.isLeaf)\n                return true;\n            next = next.firstChild;\n            dist--;\n        }\n    }\n    return false;\n}\n\nfunction addMark(tr, from, to, mark) {\n    let removed = [], added = [];\n    let removing, adding;\n    tr.doc.nodesBetween(from, to, (node, pos, parent) => {\n        if (!node.isInline)\n            return;\n        let marks = node.marks;\n        if (!mark.isInSet(marks) && parent.type.allowsMarkType(mark.type)) {\n            let start = Math.max(pos, from), end = Math.min(pos + node.nodeSize, to);\n            let newSet = mark.addToSet(marks);\n            for (let i = 0; i < marks.length; i++) {\n                if (!marks[i].isInSet(newSet)) {\n                    if (removing && removing.to == start && removing.mark.eq(marks[i]))\n                        removing.to = end;\n                    else\n                        removed.push(removing = new RemoveMarkStep(start, end, marks[i]));\n                }\n            }\n            if (adding && adding.to == start)\n                adding.to = end;\n            else\n                added.push(adding = new AddMarkStep(start, end, mark));\n        }\n    });\n    removed.forEach(s => tr.step(s));\n    added.forEach(s => tr.step(s));\n}\nfunction removeMark(tr, from, to, mark) {\n    let matched = [], step = 0;\n    tr.doc.nodesBetween(from, to, (node, pos) => {\n        if (!node.isInline)\n            return;\n        step++;\n        let toRemove = null;\n        if (mark instanceof MarkType) {\n            let set = node.marks, found;\n            while (found = mark.isInSet(set)) {\n                (toRemove || (toRemove = [])).push(found);\n                set = found.removeFromSet(set);\n            }\n        }\n        else if (mark) {\n            if (mark.isInSet(node.marks))\n                toRemove = [mark];\n        }\n        else {\n            toRemove = node.marks;\n        }\n        if (toRemove && toRemove.length) {\n            let end = Math.min(pos + node.nodeSize, to);\n            for (let i = 0; i < toRemove.length; i++) {\n                let style = toRemove[i], found;\n                for (let j = 0; j < matched.length; j++) {\n                    let m = matched[j];\n                    if (m.step == step - 1 && style.eq(matched[j].style))\n                        found = m;\n                }\n                if (found) {\n                    found.to = end;\n                    found.step = step;\n                }\n                else {\n                    matched.push({ style, from: Math.max(pos, from), to: end, step });\n                }\n            }\n        }\n    });\n    matched.forEach(m => tr.step(new RemoveMarkStep(m.from, m.to, m.style)));\n}\nfunction clearIncompatible(tr, pos, parentType, match = parentType.contentMatch) {\n    let node = tr.doc.nodeAt(pos);\n    let replSteps = [], cur = pos + 1;\n    for (let i = 0; i < node.childCount; i++) {\n        let child = node.child(i), end = cur + child.nodeSize;\n        let allowed = match.matchType(child.type);\n        if (!allowed) {\n            replSteps.push(new ReplaceStep(cur, end, Slice.empty));\n        }\n        else {\n            match = allowed;\n            for (let j = 0; j < child.marks.length; j++)\n                if (!parentType.allowsMarkType(child.marks[j].type))\n                    tr.step(new RemoveMarkStep(cur, end, child.marks[j]));\n            if (child.isText && !parentType.spec.code) {\n                let m, newline = /\\r?\\n|\\r/g, slice;\n                while (m = newline.exec(child.text)) {\n                    if (!slice)\n                        slice = new Slice(Fragment.from(parentType.schema.text(\" \", parentType.allowedMarks(child.marks))), 0, 0);\n                    replSteps.push(new ReplaceStep(cur + m.index, cur + m.index + m[0].length, slice));\n                }\n            }\n        }\n        cur = end;\n    }\n    if (!match.validEnd) {\n        let fill = match.fillBefore(Fragment.empty, true);\n        tr.replace(cur, cur, new Slice(fill, 0, 0));\n    }\n    for (let i = replSteps.length - 1; i >= 0; i--)\n        tr.step(replSteps[i]);\n}\n\nfunction canCut(node, start, end) {\n    return (start == 0 || node.canReplace(start, node.childCount)) &&\n        (end == node.childCount || node.canReplace(0, end));\n}\n/**\nTry to find a target depth to which the content in the given range\ncan be lifted. Will not go across\n[isolating](https://prosemirror.net/docs/ref/#model.NodeSpec.isolating) parent nodes.\n*/\nfunction liftTarget(range) {\n    let parent = range.parent;\n    let content = parent.content.cutByIndex(range.startIndex, range.endIndex);\n    for (let depth = range.depth;; --depth) {\n        let node = range.$from.node(depth);\n        let index = range.$from.index(depth), endIndex = range.$to.indexAfter(depth);\n        if (depth < range.depth && node.canReplace(index, endIndex, content))\n            return depth;\n        if (depth == 0 || node.type.spec.isolating || !canCut(node, index, endIndex))\n            break;\n    }\n    return null;\n}\nfunction lift(tr, range, target) {\n    let { $from, $to, depth } = range;\n    let gapStart = $from.before(depth + 1), gapEnd = $to.after(depth + 1);\n    let start = gapStart, end = gapEnd;\n    let before = Fragment.empty, openStart = 0;\n    for (let d = depth, splitting = false; d > target; d--)\n        if (splitting || $from.index(d) > 0) {\n            splitting = true;\n            before = Fragment.from($from.node(d).copy(before));\n            openStart++;\n        }\n        else {\n            start--;\n        }\n    let after = Fragment.empty, openEnd = 0;\n    for (let d = depth, splitting = false; d > target; d--)\n        if (splitting || $to.after(d + 1) < $to.end(d)) {\n            splitting = true;\n            after = Fragment.from($to.node(d).copy(after));\n            openEnd++;\n        }\n        else {\n            end++;\n        }\n    tr.step(new ReplaceAroundStep(start, end, gapStart, gapEnd, new Slice(before.append(after), openStart, openEnd), before.size - openStart, true));\n}\n/**\nTry to find a valid way to wrap the content in the given range in a\nnode of the given type. May introduce extra nodes around and inside\nthe wrapper node, if necessary. Returns null if no valid wrapping\ncould be found. When `innerRange` is given, that range's content is\nused as the content to fit into the wrapping, instead of the\ncontent of `range`.\n*/\nfunction findWrapping(range, nodeType, attrs = null, innerRange = range) {\n    let around = findWrappingOutside(range, nodeType);\n    let inner = around && findWrappingInside(innerRange, nodeType);\n    if (!inner)\n        return null;\n    return around.map(withAttrs)\n        .concat({ type: nodeType, attrs }).concat(inner.map(withAttrs));\n}\nfunction withAttrs(type) { return { type, attrs: null }; }\nfunction findWrappingOutside(range, type) {\n    let { parent, startIndex, endIndex } = range;\n    let around = parent.contentMatchAt(startIndex).findWrapping(type);\n    if (!around)\n        return null;\n    let outer = around.length ? around[0] : type;\n    return parent.canReplaceWith(startIndex, endIndex, outer) ? around : null;\n}\nfunction findWrappingInside(range, type) {\n    let { parent, startIndex, endIndex } = range;\n    let inner = parent.child(startIndex);\n    let inside = type.contentMatch.findWrapping(inner.type);\n    if (!inside)\n        return null;\n    let lastType = inside.length ? inside[inside.length - 1] : type;\n    let innerMatch = lastType.contentMatch;\n    for (let i = startIndex; innerMatch && i < endIndex; i++)\n        innerMatch = innerMatch.matchType(parent.child(i).type);\n    if (!innerMatch || !innerMatch.validEnd)\n        return null;\n    return inside;\n}\nfunction wrap(tr, range, wrappers) {\n    let content = Fragment.empty;\n    for (let i = wrappers.length - 1; i >= 0; i--) {\n        if (content.size) {\n            let match = wrappers[i].type.contentMatch.matchFragment(content);\n            if (!match || !match.validEnd)\n                throw new RangeError(\"Wrapper type given to Transform.wrap does not form valid content of its parent wrapper\");\n        }\n        content = Fragment.from(wrappers[i].type.create(wrappers[i].attrs, content));\n    }\n    let start = range.start, end = range.end;\n    tr.step(new ReplaceAroundStep(start, end, start, end, new Slice(content, 0, 0), wrappers.length, true));\n}\nfunction setBlockType(tr, from, to, type, attrs) {\n    if (!type.isTextblock)\n        throw new RangeError(\"Type given to setBlockType should be a textblock\");\n    let mapFrom = tr.steps.length;\n    tr.doc.nodesBetween(from, to, (node, pos) => {\n        if (node.isTextblock && !node.hasMarkup(type, attrs) && canChangeType(tr.doc, tr.mapping.slice(mapFrom).map(pos), type)) {\n            // Ensure all markup that isn't allowed in the new node type is cleared\n            tr.clearIncompatible(tr.mapping.slice(mapFrom).map(pos, 1), type);\n            let mapping = tr.mapping.slice(mapFrom);\n            let startM = mapping.map(pos, 1), endM = mapping.map(pos + node.nodeSize, 1);\n            tr.step(new ReplaceAroundStep(startM, endM, startM + 1, endM - 1, new Slice(Fragment.from(type.create(attrs, null, node.marks)), 0, 0), 1, true));\n            return false;\n        }\n    });\n}\nfunction canChangeType(doc, pos, type) {\n    let $pos = doc.resolve(pos), index = $pos.index();\n    return $pos.parent.canReplaceWith(index, index + 1, type);\n}\n/**\nChange the type, attributes, and/or marks of the node at `pos`.\nWhen `type` isn't given, the existing node type is preserved,\n*/\nfunction setNodeMarkup(tr, pos, type, attrs, marks) {\n    let node = tr.doc.nodeAt(pos);\n    if (!node)\n        throw new RangeError(\"No node at given position\");\n    if (!type)\n        type = node.type;\n    let newNode = type.create(attrs, null, marks || node.marks);\n    if (node.isLeaf)\n        return tr.replaceWith(pos, pos + node.nodeSize, newNode);\n    if (!type.validContent(node.content))\n        throw new RangeError(\"Invalid content for node type \" + type.name);\n    tr.step(new ReplaceAroundStep(pos, pos + node.nodeSize, pos + 1, pos + node.nodeSize - 1, new Slice(Fragment.from(newNode), 0, 0), 1, true));\n}\n/**\nCheck whether splitting at the given position is allowed.\n*/\nfunction canSplit(doc, pos, depth = 1, typesAfter) {\n    let $pos = doc.resolve(pos), base = $pos.depth - depth;\n    let innerType = (typesAfter && typesAfter[typesAfter.length - 1]) || $pos.parent;\n    if (base < 0 || $pos.parent.type.spec.isolating ||\n        !$pos.parent.canReplace($pos.index(), $pos.parent.childCount) ||\n        !innerType.type.validContent($pos.parent.content.cutByIndex($pos.index(), $pos.parent.childCount)))\n        return false;\n    for (let d = $pos.depth - 1, i = depth - 2; d > base; d--, i--) {\n        let node = $pos.node(d), index = $pos.index(d);\n        if (node.type.spec.isolating)\n            return false;\n        let rest = node.content.cutByIndex(index, node.childCount);\n        let overrideChild = typesAfter && typesAfter[i + 1];\n        if (overrideChild)\n            rest = rest.replaceChild(0, overrideChild.type.create(overrideChild.attrs));\n        let after = (typesAfter && typesAfter[i]) || node;\n        if (!node.canReplace(index + 1, node.childCount) || !after.type.validContent(rest))\n            return false;\n    }\n    let index = $pos.indexAfter(base);\n    let baseType = typesAfter && typesAfter[0];\n    return $pos.node(base).canReplaceWith(index, index, baseType ? baseType.type : $pos.node(base + 1).type);\n}\nfunction split(tr, pos, depth = 1, typesAfter) {\n    let $pos = tr.doc.resolve(pos), before = Fragment.empty, after = Fragment.empty;\n    for (let d = $pos.depth, e = $pos.depth - depth, i = depth - 1; d > e; d--, i--) {\n        before = Fragment.from($pos.node(d).copy(before));\n        let typeAfter = typesAfter && typesAfter[i];\n        after = Fragment.from(typeAfter ? typeAfter.type.create(typeAfter.attrs, after) : $pos.node(d).copy(after));\n    }\n    tr.step(new ReplaceStep(pos, pos, new Slice(before.append(after), depth, depth), true));\n}\n/**\nTest whether the blocks before and after a given position can be\njoined.\n*/\nfunction canJoin(doc, pos) {\n    let $pos = doc.resolve(pos), index = $pos.index();\n    return joinable($pos.nodeBefore, $pos.nodeAfter) &&\n        $pos.parent.canReplace(index, index + 1);\n}\nfunction joinable(a, b) {\n    return !!(a && b && !a.isLeaf && a.canAppend(b));\n}\n/**\nFind an ancestor of the given position that can be joined to the\nblock before (or after if `dir` is positive). Returns the joinable\npoint, if any.\n*/\nfunction joinPoint(doc, pos, dir = -1) {\n    let $pos = doc.resolve(pos);\n    for (let d = $pos.depth;; d--) {\n        let before, after, index = $pos.index(d);\n        if (d == $pos.depth) {\n            before = $pos.nodeBefore;\n            after = $pos.nodeAfter;\n        }\n        else if (dir > 0) {\n            before = $pos.node(d + 1);\n            index++;\n            after = $pos.node(d).maybeChild(index);\n        }\n        else {\n            before = $pos.node(d).maybeChild(index - 1);\n            after = $pos.node(d + 1);\n        }\n        if (before && !before.isTextblock && joinable(before, after) &&\n            $pos.node(d).canReplace(index, index + 1))\n            return pos;\n        if (d == 0)\n            break;\n        pos = dir < 0 ? $pos.before(d) : $pos.after(d);\n    }\n}\nfunction join(tr, pos, depth) {\n    let step = new ReplaceStep(pos - depth, pos + depth, Slice.empty, true);\n    tr.step(step);\n}\n/**\nTry to find a point where a node of the given type can be inserted\nnear `pos`, by searching up the node hierarchy when `pos` itself\nisn't a valid place but is at the start or end of a node. Return\nnull if no position was found.\n*/\nfunction insertPoint(doc, pos, nodeType) {\n    let $pos = doc.resolve(pos);\n    if ($pos.parent.canReplaceWith($pos.index(), $pos.index(), nodeType))\n        return pos;\n    if ($pos.parentOffset == 0)\n        for (let d = $pos.depth - 1; d >= 0; d--) {\n            let index = $pos.index(d);\n            if ($pos.node(d).canReplaceWith(index, index, nodeType))\n                return $pos.before(d + 1);\n            if (index > 0)\n                return null;\n        }\n    if ($pos.parentOffset == $pos.parent.content.size)\n        for (let d = $pos.depth - 1; d >= 0; d--) {\n            let index = $pos.indexAfter(d);\n            if ($pos.node(d).canReplaceWith(index, index, nodeType))\n                return $pos.after(d + 1);\n            if (index < $pos.node(d).childCount)\n                return null;\n        }\n    return null;\n}\n/**\nFinds a position at or around the given position where the given\nslice can be inserted. Will look at parent nodes' nearest boundary\nand try there, even if the original position wasn't directly at the\nstart or end of that node. Returns null when no position was found.\n*/\nfunction dropPoint(doc, pos, slice) {\n    let $pos = doc.resolve(pos);\n    if (!slice.content.size)\n        return pos;\n    let content = slice.content;\n    for (let i = 0; i < slice.openStart; i++)\n        content = content.firstChild.content;\n    for (let pass = 1; pass <= (slice.openStart == 0 && slice.size ? 2 : 1); pass++) {\n        for (let d = $pos.depth; d >= 0; d--) {\n            let bias = d == $pos.depth ? 0 : $pos.pos <= ($pos.start(d + 1) + $pos.end(d + 1)) / 2 ? -1 : 1;\n            let insertPos = $pos.index(d) + (bias > 0 ? 1 : 0);\n            let parent = $pos.node(d), fits = false;\n            if (pass == 1) {\n                fits = parent.canReplace(insertPos, insertPos, content);\n            }\n            else {\n                let wrapping = parent.contentMatchAt(insertPos).findWrapping(content.firstChild.type);\n                fits = wrapping && parent.canReplaceWith(insertPos, insertPos, wrapping[0]);\n            }\n            if (fits)\n                return bias == 0 ? $pos.pos : bias < 0 ? $pos.before(d + 1) : $pos.after(d + 1);\n        }\n    }\n    return null;\n}\n\n/**\n‘Fit’ a slice into a given position in the document, producing a\n[step](https://prosemirror.net/docs/ref/#transform.Step) that inserts it. Will return null if\nthere's no meaningful way to insert the slice here, or inserting it\nwould be a no-op (an empty slice over an empty range).\n*/\nfunction replaceStep(doc, from, to = from, slice = Slice.empty) {\n    if (from == to && !slice.size)\n        return null;\n    let $from = doc.resolve(from), $to = doc.resolve(to);\n    // Optimization -- avoid work if it's obvious that it's not needed.\n    if (fitsTrivially($from, $to, slice))\n        return new ReplaceStep(from, to, slice);\n    return new Fitter($from, $to, slice).fit();\n}\nfunction fitsTrivially($from, $to, slice) {\n    return !slice.openStart && !slice.openEnd && $from.start() == $to.start() &&\n        $from.parent.canReplace($from.index(), $to.index(), slice.content);\n}\n// Algorithm for 'placing' the elements of a slice into a gap:\n//\n// We consider the content of each node that is open to the left to be\n// independently placeable. I.e. in <p(\"foo\"), p(\"bar\")>, when the\n// paragraph on the left is open, \"foo\" can be placed (somewhere on\n// the left side of the replacement gap) independently from p(\"bar\").\n//\n// This class tracks the state of the placement progress in the\n// following properties:\n//\n//  - `frontier` holds a stack of `{type, match}` objects that\n//    represent the open side of the replacement. It starts at\n//    `$from`, then moves forward as content is placed, and is finally\n//    reconciled with `$to`.\n//\n//  - `unplaced` is a slice that represents the content that hasn't\n//    been placed yet.\n//\n//  - `placed` is a fragment of placed content. Its open-start value\n//    is implicit in `$from`, and its open-end value in `frontier`.\nclass Fitter {\n    constructor($from, $to, unplaced) {\n        this.$from = $from;\n        this.$to = $to;\n        this.unplaced = unplaced;\n        this.frontier = [];\n        this.placed = Fragment.empty;\n        for (let i = 0; i <= $from.depth; i++) {\n            let node = $from.node(i);\n            this.frontier.push({\n                type: node.type,\n                match: node.contentMatchAt($from.indexAfter(i))\n            });\n        }\n        for (let i = $from.depth; i > 0; i--)\n            this.placed = Fragment.from($from.node(i).copy(this.placed));\n    }\n    get depth() { return this.frontier.length - 1; }\n    fit() {\n        // As long as there's unplaced content, try to place some of it.\n        // If that fails, either increase the open score of the unplaced\n        // slice, or drop nodes from it, and then try again.\n        while (this.unplaced.size) {\n            let fit = this.findFittable();\n            if (fit)\n                this.placeNodes(fit);\n            else\n                this.openMore() || this.dropNode();\n        }\n        // When there's inline content directly after the frontier _and_\n        // directly after `this.$to`, we must generate a `ReplaceAround`\n        // step that pulls that content into the node after the frontier.\n        // That means the fitting must be done to the end of the textblock\n        // node after `this.$to`, not `this.$to` itself.\n        let moveInline = this.mustMoveInline(), placedSize = this.placed.size - this.depth - this.$from.depth;\n        let $from = this.$from, $to = this.close(moveInline < 0 ? this.$to : $from.doc.resolve(moveInline));\n        if (!$to)\n            return null;\n        // If closing to `$to` succeeded, create a step\n        let content = this.placed, openStart = $from.depth, openEnd = $to.depth;\n        while (openStart && openEnd && content.childCount == 1) { // Normalize by dropping open parent nodes\n            content = content.firstChild.content;\n            openStart--;\n            openEnd--;\n        }\n        let slice = new Slice(content, openStart, openEnd);\n        if (moveInline > -1)\n            return new ReplaceAroundStep($from.pos, moveInline, this.$to.pos, this.$to.end(), slice, placedSize);\n        if (slice.size || $from.pos != this.$to.pos) // Don't generate no-op steps\n            return new ReplaceStep($from.pos, $to.pos, slice);\n        return null;\n    }\n    // Find a position on the start spine of `this.unplaced` that has\n    // content that can be moved somewhere on the frontier. Returns two\n    // depths, one for the slice and one for the frontier.\n    findFittable() {\n        let startDepth = this.unplaced.openStart;\n        for (let cur = this.unplaced.content, d = 0, openEnd = this.unplaced.openEnd; d < startDepth; d++) {\n            let node = cur.firstChild;\n            if (cur.childCount > 1)\n                openEnd = 0;\n            if (node.type.spec.isolating && openEnd <= d) {\n                startDepth = d;\n                break;\n            }\n            cur = node.content;\n        }\n        // Only try wrapping nodes (pass 2) after finding a place without\n        // wrapping failed.\n        for (let pass = 1; pass <= 2; pass++) {\n            for (let sliceDepth = pass == 1 ? startDepth : this.unplaced.openStart; sliceDepth >= 0; sliceDepth--) {\n                let fragment, parent = null;\n                if (sliceDepth) {\n                    parent = contentAt(this.unplaced.content, sliceDepth - 1).firstChild;\n                    fragment = parent.content;\n                }\n                else {\n                    fragment = this.unplaced.content;\n                }\n                let first = fragment.firstChild;\n                for (let frontierDepth = this.depth; frontierDepth >= 0; frontierDepth--) {\n                    let { type, match } = this.frontier[frontierDepth], wrap, inject = null;\n                    // In pass 1, if the next node matches, or there is no next\n                    // node but the parents look compatible, we've found a\n                    // place.\n                    if (pass == 1 && (first ? match.matchType(first.type) || (inject = match.fillBefore(Fragment.from(first), false))\n                        : parent && type.compatibleContent(parent.type)))\n                        return { sliceDepth, frontierDepth, parent, inject };\n                    // In pass 2, look for a set of wrapping nodes that make\n                    // `first` fit here.\n                    else if (pass == 2 && first && (wrap = match.findWrapping(first.type)))\n                        return { sliceDepth, frontierDepth, parent, wrap };\n                    // Don't continue looking further up if the parent node\n                    // would fit here.\n                    if (parent && match.matchType(parent.type))\n                        break;\n                }\n            }\n        }\n    }\n    openMore() {\n        let { content, openStart, openEnd } = this.unplaced;\n        let inner = contentAt(content, openStart);\n        if (!inner.childCount || inner.firstChild.isLeaf)\n            return false;\n        this.unplaced = new Slice(content, openStart + 1, Math.max(openEnd, inner.size + openStart >= content.size - openEnd ? openStart + 1 : 0));\n        return true;\n    }\n    dropNode() {\n        let { content, openStart, openEnd } = this.unplaced;\n        let inner = contentAt(content, openStart);\n        if (inner.childCount <= 1 && openStart > 0) {\n            let openAtEnd = content.size - openStart <= openStart + inner.size;\n            this.unplaced = new Slice(dropFromFragment(content, openStart - 1, 1), openStart - 1, openAtEnd ? openStart - 1 : openEnd);\n        }\n        else {\n            this.unplaced = new Slice(dropFromFragment(content, openStart, 1), openStart, openEnd);\n        }\n    }\n    // Move content from the unplaced slice at `sliceDepth` to the\n    // frontier node at `frontierDepth`. Close that frontier node when\n    // applicable.\n    placeNodes({ sliceDepth, frontierDepth, parent, inject, wrap }) {\n        while (this.depth > frontierDepth)\n            this.closeFrontierNode();\n        if (wrap)\n            for (let i = 0; i < wrap.length; i++)\n                this.openFrontierNode(wrap[i]);\n        let slice = this.unplaced, fragment = parent ? parent.content : slice.content;\n        let openStart = slice.openStart - sliceDepth;\n        let taken = 0, add = [];\n        let { match, type } = this.frontier[frontierDepth];\n        if (inject) {\n            for (let i = 0; i < inject.childCount; i++)\n                add.push(inject.child(i));\n            match = match.matchFragment(inject);\n        }\n        // Computes the amount of (end) open nodes at the end of the\n        // fragment. When 0, the parent is open, but no more. When\n        // negative, nothing is open.\n        let openEndCount = (fragment.size + sliceDepth) - (slice.content.size - slice.openEnd);\n        // Scan over the fragment, fitting as many child nodes as\n        // possible.\n        while (taken < fragment.childCount) {\n            let next = fragment.child(taken), matches = match.matchType(next.type);\n            if (!matches)\n                break;\n            taken++;\n            if (taken > 1 || openStart == 0 || next.content.size) { // Drop empty open nodes\n                match = matches;\n                add.push(closeNodeStart(next.mark(type.allowedMarks(next.marks)), taken == 1 ? openStart : 0, taken == fragment.childCount ? openEndCount : -1));\n            }\n        }\n        let toEnd = taken == fragment.childCount;\n        if (!toEnd)\n            openEndCount = -1;\n        this.placed = addToFragment(this.placed, frontierDepth, Fragment.from(add));\n        this.frontier[frontierDepth].match = match;\n        // If the parent types match, and the entire node was moved, and\n        // it's not open, close this frontier node right away.\n        if (toEnd && openEndCount < 0 && parent && parent.type == this.frontier[this.depth].type && this.frontier.length > 1)\n            this.closeFrontierNode();\n        // Add new frontier nodes for any open nodes at the end.\n        for (let i = 0, cur = fragment; i < openEndCount; i++) {\n            let node = cur.lastChild;\n            this.frontier.push({ type: node.type, match: node.contentMatchAt(node.childCount) });\n            cur = node.content;\n        }\n        // Update `this.unplaced`. Drop the entire node from which we\n        // placed it we got to its end, otherwise just drop the placed\n        // nodes.\n        this.unplaced = !toEnd ? new Slice(dropFromFragment(slice.content, sliceDepth, taken), slice.openStart, slice.openEnd)\n            : sliceDepth == 0 ? Slice.empty\n                : new Slice(dropFromFragment(slice.content, sliceDepth - 1, 1), sliceDepth - 1, openEndCount < 0 ? slice.openEnd : sliceDepth - 1);\n    }\n    mustMoveInline() {\n        if (!this.$to.parent.isTextblock)\n            return -1;\n        let top = this.frontier[this.depth], level;\n        if (!top.type.isTextblock || !contentAfterFits(this.$to, this.$to.depth, top.type, top.match, false) ||\n            (this.$to.depth == this.depth && (level = this.findCloseLevel(this.$to)) && level.depth == this.depth))\n            return -1;\n        let { depth } = this.$to, after = this.$to.after(depth);\n        while (depth > 1 && after == this.$to.end(--depth))\n            ++after;\n        return after;\n    }\n    findCloseLevel($to) {\n        scan: for (let i = Math.min(this.depth, $to.depth); i >= 0; i--) {\n            let { match, type } = this.frontier[i];\n            let dropInner = i < $to.depth && $to.end(i + 1) == $to.pos + ($to.depth - (i + 1));\n            let fit = contentAfterFits($to, i, type, match, dropInner);\n            if (!fit)\n                continue;\n            for (let d = i - 1; d >= 0; d--) {\n                let { match, type } = this.frontier[d];\n                let matches = contentAfterFits($to, d, type, match, true);\n                if (!matches || matches.childCount)\n                    continue scan;\n            }\n            return { depth: i, fit, move: dropInner ? $to.doc.resolve($to.after(i + 1)) : $to };\n        }\n    }\n    close($to) {\n        let close = this.findCloseLevel($to);\n        if (!close)\n            return null;\n        while (this.depth > close.depth)\n            this.closeFrontierNode();\n        if (close.fit.childCount)\n            this.placed = addToFragment(this.placed, close.depth, close.fit);\n        $to = close.move;\n        for (let d = close.depth + 1; d <= $to.depth; d++) {\n            let node = $to.node(d), add = node.type.contentMatch.fillBefore(node.content, true, $to.index(d));\n            this.openFrontierNode(node.type, node.attrs, add);\n        }\n        return $to;\n    }\n    openFrontierNode(type, attrs = null, content) {\n        let top = this.frontier[this.depth];\n        top.match = top.match.matchType(type);\n        this.placed = addToFragment(this.placed, this.depth, Fragment.from(type.create(attrs, content)));\n        this.frontier.push({ type, match: type.contentMatch });\n    }\n    closeFrontierNode() {\n        let open = this.frontier.pop();\n        let add = open.match.fillBefore(Fragment.empty, true);\n        if (add.childCount)\n            this.placed = addToFragment(this.placed, this.frontier.length, add);\n    }\n}\nfunction dropFromFragment(fragment, depth, count) {\n    if (depth == 0)\n        return fragment.cutByIndex(count, fragment.childCount);\n    return fragment.replaceChild(0, fragment.firstChild.copy(dropFromFragment(fragment.firstChild.content, depth - 1, count)));\n}\nfunction addToFragment(fragment, depth, content) {\n    if (depth == 0)\n        return fragment.append(content);\n    return fragment.replaceChild(fragment.childCount - 1, fragment.lastChild.copy(addToFragment(fragment.lastChild.content, depth - 1, content)));\n}\nfunction contentAt(fragment, depth) {\n    for (let i = 0; i < depth; i++)\n        fragment = fragment.firstChild.content;\n    return fragment;\n}\nfunction closeNodeStart(node, openStart, openEnd) {\n    if (openStart <= 0)\n        return node;\n    let frag = node.content;\n    if (openStart > 1)\n        frag = frag.replaceChild(0, closeNodeStart(frag.firstChild, openStart - 1, frag.childCount == 1 ? openEnd - 1 : 0));\n    if (openStart > 0) {\n        frag = node.type.contentMatch.fillBefore(frag).append(frag);\n        if (openEnd <= 0)\n            frag = frag.append(node.type.contentMatch.matchFragment(frag).fillBefore(Fragment.empty, true));\n    }\n    return node.copy(frag);\n}\nfunction contentAfterFits($to, depth, type, match, open) {\n    let node = $to.node(depth), index = open ? $to.indexAfter(depth) : $to.index(depth);\n    if (index == node.childCount && !type.compatibleContent(node.type))\n        return null;\n    let fit = match.fillBefore(node.content, true, index);\n    return fit && !invalidMarks(type, node.content, index) ? fit : null;\n}\nfunction invalidMarks(type, fragment, start) {\n    for (let i = start; i < fragment.childCount; i++)\n        if (!type.allowsMarks(fragment.child(i).marks))\n            return true;\n    return false;\n}\nfunction definesContent(type) {\n    return type.spec.defining || type.spec.definingForContent;\n}\nfunction replaceRange(tr, from, to, slice) {\n    if (!slice.size)\n        return tr.deleteRange(from, to);\n    let $from = tr.doc.resolve(from), $to = tr.doc.resolve(to);\n    if (fitsTrivially($from, $to, slice))\n        return tr.step(new ReplaceStep(from, to, slice));\n    let targetDepths = coveredDepths($from, tr.doc.resolve(to));\n    // Can't replace the whole document, so remove 0 if it's present\n    if (targetDepths[targetDepths.length - 1] == 0)\n        targetDepths.pop();\n    // Negative numbers represent not expansion over the whole node at\n    // that depth, but replacing from $from.before(-D) to $to.pos.\n    let preferredTarget = -($from.depth + 1);\n    targetDepths.unshift(preferredTarget);\n    // This loop picks a preferred target depth, if one of the covering\n    // depths is not outside of a defining node, and adds negative\n    // depths for any depth that has $from at its start and does not\n    // cross a defining node.\n    for (let d = $from.depth, pos = $from.pos - 1; d > 0; d--, pos--) {\n        let spec = $from.node(d).type.spec;\n        if (spec.defining || spec.definingAsContext || spec.isolating)\n            break;\n        if (targetDepths.indexOf(d) > -1)\n            preferredTarget = d;\n        else if ($from.before(d) == pos)\n            targetDepths.splice(1, 0, -d);\n    }\n    // Try to fit each possible depth of the slice into each possible\n    // target depth, starting with the preferred depths.\n    let preferredTargetIndex = targetDepths.indexOf(preferredTarget);\n    let leftNodes = [], preferredDepth = slice.openStart;\n    for (let content = slice.content, i = 0;; i++) {\n        let node = content.firstChild;\n        leftNodes.push(node);\n        if (i == slice.openStart)\n            break;\n        content = node.content;\n    }\n    // Back up preferredDepth to cover defining textblocks directly\n    // above it, possibly skipping a non-defining textblock.\n    for (let d = preferredDepth - 1; d >= 0; d--) {\n        let leftNode = leftNodes[d], def = definesContent(leftNode.type);\n        if (def && !leftNode.sameMarkup($from.node(Math.abs(preferredTarget) - 1)))\n            preferredDepth = d;\n        else if (def || !leftNode.type.isTextblock)\n            break;\n    }\n    for (let j = slice.openStart; j >= 0; j--) {\n        let openDepth = (j + preferredDepth + 1) % (slice.openStart + 1);\n        let insert = leftNodes[openDepth];\n        if (!insert)\n            continue;\n        for (let i = 0; i < targetDepths.length; i++) {\n            // Loop over possible expansion levels, starting with the\n            // preferred one\n            let targetDepth = targetDepths[(i + preferredTargetIndex) % targetDepths.length], expand = true;\n            if (targetDepth < 0) {\n                expand = false;\n                targetDepth = -targetDepth;\n            }\n            let parent = $from.node(targetDepth - 1), index = $from.index(targetDepth - 1);\n            if (parent.canReplaceWith(index, index, insert.type, insert.marks))\n                return tr.replace($from.before(targetDepth), expand ? $to.after(targetDepth) : to, new Slice(closeFragment(slice.content, 0, slice.openStart, openDepth), openDepth, slice.openEnd));\n        }\n    }\n    let startSteps = tr.steps.length;\n    for (let i = targetDepths.length - 1; i >= 0; i--) {\n        tr.replace(from, to, slice);\n        if (tr.steps.length > startSteps)\n            break;\n        let depth = targetDepths[i];\n        if (depth < 0)\n            continue;\n        from = $from.before(depth);\n        to = $to.after(depth);\n    }\n}\nfunction closeFragment(fragment, depth, oldOpen, newOpen, parent) {\n    if (depth < oldOpen) {\n        let first = fragment.firstChild;\n        fragment = fragment.replaceChild(0, first.copy(closeFragment(first.content, depth + 1, oldOpen, newOpen, first)));\n    }\n    if (depth > newOpen) {\n        let match = parent.contentMatchAt(0);\n        let start = match.fillBefore(fragment).append(fragment);\n        fragment = start.append(match.matchFragment(start).fillBefore(Fragment.empty, true));\n    }\n    return fragment;\n}\nfunction replaceRangeWith(tr, from, to, node) {\n    if (!node.isInline && from == to && tr.doc.resolve(from).parent.content.size) {\n        let point = insertPoint(tr.doc, from, node.type);\n        if (point != null)\n            from = to = point;\n    }\n    tr.replaceRange(from, to, new Slice(Fragment.from(node), 0, 0));\n}\nfunction deleteRange(tr, from, to) {\n    let $from = tr.doc.resolve(from), $to = tr.doc.resolve(to);\n    let covered = coveredDepths($from, $to);\n    for (let i = 0; i < covered.length; i++) {\n        let depth = covered[i], last = i == covered.length - 1;\n        if ((last && depth == 0) || $from.node(depth).type.contentMatch.validEnd)\n            return tr.delete($from.start(depth), $to.end(depth));\n        if (depth > 0 && (last || $from.node(depth - 1).canReplace($from.index(depth - 1), $to.indexAfter(depth - 1))))\n            return tr.delete($from.before(depth), $to.after(depth));\n    }\n    for (let d = 1; d <= $from.depth && d <= $to.depth; d++) {\n        if (from - $from.start(d) == $from.depth - d && to > $from.end(d) && $to.end(d) - to != $to.depth - d)\n            return tr.delete($from.before(d), to);\n    }\n    tr.delete(from, to);\n}\n// Returns an array of all depths for which $from - $to spans the\n// whole content of the nodes at that depth.\nfunction coveredDepths($from, $to) {\n    let result = [], minDepth = Math.min($from.depth, $to.depth);\n    for (let d = minDepth; d >= 0; d--) {\n        let start = $from.start(d);\n        if (start < $from.pos - ($from.depth - d) ||\n            $to.end(d) > $to.pos + ($to.depth - d) ||\n            $from.node(d).type.spec.isolating ||\n            $to.node(d).type.spec.isolating)\n            break;\n        if (start == $to.start(d) ||\n            (d == $from.depth && d == $to.depth && $from.parent.inlineContent && $to.parent.inlineContent &&\n                d && $to.start(d - 1) == start - 1))\n            result.push(d);\n    }\n    return result;\n}\n\n/**\nUpdate an attribute in a specific node.\n*/\nclass AttrStep extends Step {\n    /**\n    Construct an attribute step.\n    */\n    constructor(\n    /**\n    The position of the target node.\n    */\n    pos, \n    /**\n    The attribute to set.\n    */\n    attr, \n    // The attribute's new value.\n    value) {\n        super();\n        this.pos = pos;\n        this.attr = attr;\n        this.value = value;\n    }\n    apply(doc) {\n        let node = doc.nodeAt(this.pos);\n        if (!node)\n            return StepResult.fail(\"No node at attribute step's position\");\n        let attrs = Object.create(null);\n        for (let name in node.attrs)\n            attrs[name] = node.attrs[name];\n        attrs[this.attr] = this.value;\n        let updated = node.type.create(attrs, null, node.marks);\n        return StepResult.fromReplace(doc, this.pos, this.pos + 1, new Slice(Fragment.from(updated), 0, node.isLeaf ? 0 : 1));\n    }\n    getMap() {\n        return StepMap.empty;\n    }\n    invert(doc) {\n        return new AttrStep(this.pos, this.attr, doc.nodeAt(this.pos).attrs[this.attr]);\n    }\n    map(mapping) {\n        let pos = mapping.mapResult(this.pos, 1);\n        return pos.deletedAfter ? null : new AttrStep(pos.pos, this.attr, this.value);\n    }\n    toJSON() {\n        return { stepType: \"attr\", pos: this.pos, attr: this.attr, value: this.value };\n    }\n    static fromJSON(schema, json) {\n        if (typeof json.pos != \"number\" || typeof json.attr != \"string\")\n            throw new RangeError(\"Invalid input for AttrStep.fromJSON\");\n        return new AttrStep(json.pos, json.attr, json.value);\n    }\n}\nStep.jsonID(\"attr\", AttrStep);\n/**\nUpdate an attribute in the doc node.\n*/\nclass DocAttrStep extends Step {\n    /**\n    Construct an attribute step.\n    */\n    constructor(\n    /**\n    The attribute to set.\n    */\n    attr, \n    // The attribute's new value.\n    value) {\n        super();\n        this.attr = attr;\n        this.value = value;\n    }\n    apply(doc) {\n        let attrs = Object.create(null);\n        for (let name in doc.attrs)\n            attrs[name] = doc.attrs[name];\n        attrs[this.attr] = this.value;\n        let updated = doc.type.create(attrs, doc.content, doc.marks);\n        return StepResult.ok(updated);\n    }\n    getMap() {\n        return StepMap.empty;\n    }\n    invert(doc) {\n        return new DocAttrStep(this.attr, doc.attrs[this.attr]);\n    }\n    map(mapping) {\n        return this;\n    }\n    toJSON() {\n        return { stepType: \"docAttr\", attr: this.attr, value: this.value };\n    }\n    static fromJSON(schema, json) {\n        if (typeof json.attr != \"string\")\n            throw new RangeError(\"Invalid input for DocAttrStep.fromJSON\");\n        return new DocAttrStep(json.attr, json.value);\n    }\n}\nStep.jsonID(\"docAttr\", DocAttrStep);\n\n/**\n@internal\n*/\nlet TransformError = class extends Error {\n};\nTransformError = function TransformError(message) {\n    let err = Error.call(this, message);\n    err.__proto__ = TransformError.prototype;\n    return err;\n};\nTransformError.prototype = Object.create(Error.prototype);\nTransformError.prototype.constructor = TransformError;\nTransformError.prototype.name = \"TransformError\";\n/**\nAbstraction to build up and track an array of\n[steps](https://prosemirror.net/docs/ref/#transform.Step) representing a document transformation.\n\nMost transforming methods return the `Transform` object itself, so\nthat they can be chained.\n*/\nclass Transform {\n    /**\n    Create a transform that starts with the given document.\n    */\n    constructor(\n    /**\n    The current document (the result of applying the steps in the\n    transform).\n    */\n    doc) {\n        this.doc = doc;\n        /**\n        The steps in this transform.\n        */\n        this.steps = [];\n        /**\n        The documents before each of the steps.\n        */\n        this.docs = [];\n        /**\n        A mapping with the maps for each of the steps in this transform.\n        */\n        this.mapping = new Mapping;\n    }\n    /**\n    The starting document.\n    */\n    get before() { return this.docs.length ? this.docs[0] : this.doc; }\n    /**\n    Apply a new step in this transform, saving the result. Throws an\n    error when the step fails.\n    */\n    step(step) {\n        let result = this.maybeStep(step);\n        if (result.failed)\n            throw new TransformError(result.failed);\n        return this;\n    }\n    /**\n    Try to apply a step in this transformation, ignoring it if it\n    fails. Returns the step result.\n    */\n    maybeStep(step) {\n        let result = step.apply(this.doc);\n        if (!result.failed)\n            this.addStep(step, result.doc);\n        return result;\n    }\n    /**\n    True when the document has been changed (when there are any\n    steps).\n    */\n    get docChanged() {\n        return this.steps.length > 0;\n    }\n    /**\n    @internal\n    */\n    addStep(step, doc) {\n        this.docs.push(this.doc);\n        this.steps.push(step);\n        this.mapping.appendMap(step.getMap());\n        this.doc = doc;\n    }\n    /**\n    Replace the part of the document between `from` and `to` with the\n    given `slice`.\n    */\n    replace(from, to = from, slice = Slice.empty) {\n        let step = replaceStep(this.doc, from, to, slice);\n        if (step)\n            this.step(step);\n        return this;\n    }\n    /**\n    Replace the given range with the given content, which may be a\n    fragment, node, or array of nodes.\n    */\n    replaceWith(from, to, content) {\n        return this.replace(from, to, new Slice(Fragment.from(content), 0, 0));\n    }\n    /**\n    Delete the content between the given positions.\n    */\n    delete(from, to) {\n        return this.replace(from, to, Slice.empty);\n    }\n    /**\n    Insert the given content at the given position.\n    */\n    insert(pos, content) {\n        return this.replaceWith(pos, pos, content);\n    }\n    /**\n    Replace a range of the document with a given slice, using\n    `from`, `to`, and the slice's\n    [`openStart`](https://prosemirror.net/docs/ref/#model.Slice.openStart) property as hints, rather\n    than fixed start and end points. This method may grow the\n    replaced area or close open nodes in the slice in order to get a\n    fit that is more in line with WYSIWYG expectations, by dropping\n    fully covered parent nodes of the replaced region when they are\n    marked [non-defining as\n    context](https://prosemirror.net/docs/ref/#model.NodeSpec.definingAsContext), or including an\n    open parent node from the slice that _is_ marked as [defining\n    its content](https://prosemirror.net/docs/ref/#model.NodeSpec.definingForContent).\n    \n    This is the method, for example, to handle paste. The similar\n    [`replace`](https://prosemirror.net/docs/ref/#transform.Transform.replace) method is a more\n    primitive tool which will _not_ move the start and end of its given\n    range, and is useful in situations where you need more precise\n    control over what happens.\n    */\n    replaceRange(from, to, slice) {\n        replaceRange(this, from, to, slice);\n        return this;\n    }\n    /**\n    Replace the given range with a node, but use `from` and `to` as\n    hints, rather than precise positions. When from and to are the same\n    and are at the start or end of a parent node in which the given\n    node doesn't fit, this method may _move_ them out towards a parent\n    that does allow the given node to be placed. When the given range\n    completely covers a parent node, this method may completely replace\n    that parent node.\n    */\n    replaceRangeWith(from, to, node) {\n        replaceRangeWith(this, from, to, node);\n        return this;\n    }\n    /**\n    Delete the given range, expanding it to cover fully covered\n    parent nodes until a valid replace is found.\n    */\n    deleteRange(from, to) {\n        deleteRange(this, from, to);\n        return this;\n    }\n    /**\n    Split the content in the given range off from its parent, if there\n    is sibling content before or after it, and move it up the tree to\n    the depth specified by `target`. You'll probably want to use\n    [`liftTarget`](https://prosemirror.net/docs/ref/#transform.liftTarget) to compute `target`, to make\n    sure the lift is valid.\n    */\n    lift(range, target) {\n        lift(this, range, target);\n        return this;\n    }\n    /**\n    Join the blocks around the given position. If depth is 2, their\n    last and first siblings are also joined, and so on.\n    */\n    join(pos, depth = 1) {\n        join(this, pos, depth);\n        return this;\n    }\n    /**\n    Wrap the given [range](https://prosemirror.net/docs/ref/#model.NodeRange) in the given set of wrappers.\n    The wrappers are assumed to be valid in this position, and should\n    probably be computed with [`findWrapping`](https://prosemirror.net/docs/ref/#transform.findWrapping).\n    */\n    wrap(range, wrappers) {\n        wrap(this, range, wrappers);\n        return this;\n    }\n    /**\n    Set the type of all textblocks (partly) between `from` and `to` to\n    the given node type with the given attributes.\n    */\n    setBlockType(from, to = from, type, attrs = null) {\n        setBlockType(this, from, to, type, attrs);\n        return this;\n    }\n    /**\n    Change the type, attributes, and/or marks of the node at `pos`.\n    When `type` isn't given, the existing node type is preserved,\n    */\n    setNodeMarkup(pos, type, attrs = null, marks) {\n        setNodeMarkup(this, pos, type, attrs, marks);\n        return this;\n    }\n    /**\n    Set a single attribute on a given node to a new value.\n    The `pos` addresses the document content. Use `setDocAttribute`\n    to set attributes on the document itself.\n    */\n    setNodeAttribute(pos, attr, value) {\n        this.step(new AttrStep(pos, attr, value));\n        return this;\n    }\n    /**\n    Set a single attribute on the document to a new value.\n    */\n    setDocAttribute(attr, value) {\n        this.step(new DocAttrStep(attr, value));\n        return this;\n    }\n    /**\n    Add a mark to the node at position `pos`.\n    */\n    addNodeMark(pos, mark) {\n        this.step(new AddNodeMarkStep(pos, mark));\n        return this;\n    }\n    /**\n    Remove a mark (or a mark of the given type) from the node at\n    position `pos`.\n    */\n    removeNodeMark(pos, mark) {\n        if (!(mark instanceof Mark)) {\n            let node = this.doc.nodeAt(pos);\n            if (!node)\n                throw new RangeError(\"No node at position \" + pos);\n            mark = mark.isInSet(node.marks);\n            if (!mark)\n                return this;\n        }\n        this.step(new RemoveNodeMarkStep(pos, mark));\n        return this;\n    }\n    /**\n    Split the node at the given position, and optionally, if `depth` is\n    greater than one, any number of nodes above that. By default, the\n    parts split off will inherit the node type of the original node.\n    This can be changed by passing an array of types and attributes to\n    use after the split.\n    */\n    split(pos, depth = 1, typesAfter) {\n        split(this, pos, depth, typesAfter);\n        return this;\n    }\n    /**\n    Add the given mark to the inline content between `from` and `to`.\n    */\n    addMark(from, to, mark) {\n        addMark(this, from, to, mark);\n        return this;\n    }\n    /**\n    Remove marks from inline nodes between `from` and `to`. When\n    `mark` is a single mark, remove precisely that mark. When it is\n    a mark type, remove all marks of that type. When it is null,\n    remove all marks of any type.\n    */\n    removeMark(from, to, mark) {\n        removeMark(this, from, to, mark);\n        return this;\n    }\n    /**\n    Removes all marks and nodes from the content of the node at\n    `pos` that don't match the given new parent node type. Accepts\n    an optional starting [content match](https://prosemirror.net/docs/ref/#model.ContentMatch) as\n    third argument.\n    */\n    clearIncompatible(pos, parentType, match) {\n        clearIncompatible(this, pos, parentType, match);\n        return this;\n    }\n}\n\nexport { AddMarkStep, AddNodeMarkStep, AttrStep, DocAttrStep, MapResult, Mapping, RemoveMarkStep, RemoveNodeMarkStep, ReplaceAroundStep, ReplaceStep, Step, StepMap, StepResult, Transform, TransformError, canJoin, canSplit, dropPoint, findWrapping, insertPoint, joinPoint, liftTarget, replaceStep };\n","import { Slice, Fragment, Mark, Node } from 'prosemirror-model';\nimport { ReplaceStep, ReplaceAroundStep, Transform } from 'prosemirror-transform';\n\nconst classesById = Object.create(null);\n/**\nSuperclass for editor selections. Every selection type should\nextend this. Should not be instantiated directly.\n*/\nclass Selection {\n    /**\n    Initialize a selection with the head and anchor and ranges. If no\n    ranges are given, constructs a single range across `$anchor` and\n    `$head`.\n    */\n    constructor(\n    /**\n    The resolved anchor of the selection (the side that stays in\n    place when the selection is modified).\n    */\n    $anchor, \n    /**\n    The resolved head of the selection (the side that moves when\n    the selection is modified).\n    */\n    $head, ranges) {\n        this.$anchor = $anchor;\n        this.$head = $head;\n        this.ranges = ranges || [new SelectionRange($anchor.min($head), $anchor.max($head))];\n    }\n    /**\n    The selection's anchor, as an unresolved position.\n    */\n    get anchor() { return this.$anchor.pos; }\n    /**\n    The selection's head.\n    */\n    get head() { return this.$head.pos; }\n    /**\n    The lower bound of the selection's main range.\n    */\n    get from() { return this.$from.pos; }\n    /**\n    The upper bound of the selection's main range.\n    */\n    get to() { return this.$to.pos; }\n    /**\n    The resolved lower  bound of the selection's main range.\n    */\n    get $from() {\n        return this.ranges[0].$from;\n    }\n    /**\n    The resolved upper bound of the selection's main range.\n    */\n    get $to() {\n        return this.ranges[0].$to;\n    }\n    /**\n    Indicates whether the selection contains any content.\n    */\n    get empty() {\n        let ranges = this.ranges;\n        for (let i = 0; i < ranges.length; i++)\n            if (ranges[i].$from.pos != ranges[i].$to.pos)\n                return false;\n        return true;\n    }\n    /**\n    Get the content of this selection as a slice.\n    */\n    content() {\n        return this.$from.doc.slice(this.from, this.to, true);\n    }\n    /**\n    Replace the selection with a slice or, if no slice is given,\n    delete the selection. Will append to the given transaction.\n    */\n    replace(tr, content = Slice.empty) {\n        // Put the new selection at the position after the inserted\n        // content. When that ended in an inline node, search backwards,\n        // to get the position after that node. If not, search forward.\n        let lastNode = content.content.lastChild, lastParent = null;\n        for (let i = 0; i < content.openEnd; i++) {\n            lastParent = lastNode;\n            lastNode = lastNode.lastChild;\n        }\n        let mapFrom = tr.steps.length, ranges = this.ranges;\n        for (let i = 0; i < ranges.length; i++) {\n            let { $from, $to } = ranges[i], mapping = tr.mapping.slice(mapFrom);\n            tr.replaceRange(mapping.map($from.pos), mapping.map($to.pos), i ? Slice.empty : content);\n            if (i == 0)\n                selectionToInsertionEnd(tr, mapFrom, (lastNode ? lastNode.isInline : lastParent && lastParent.isTextblock) ? -1 : 1);\n        }\n    }\n    /**\n    Replace the selection with the given node, appending the changes\n    to the given transaction.\n    */\n    replaceWith(tr, node) {\n        let mapFrom = tr.steps.length, ranges = this.ranges;\n        for (let i = 0; i < ranges.length; i++) {\n            let { $from, $to } = ranges[i], mapping = tr.mapping.slice(mapFrom);\n            let from = mapping.map($from.pos), to = mapping.map($to.pos);\n            if (i) {\n                tr.deleteRange(from, to);\n            }\n            else {\n                tr.replaceRangeWith(from, to, node);\n                selectionToInsertionEnd(tr, mapFrom, node.isInline ? -1 : 1);\n            }\n        }\n    }\n    /**\n    Find a valid cursor or leaf node selection starting at the given\n    position and searching back if `dir` is negative, and forward if\n    positive. When `textOnly` is true, only consider cursor\n    selections. Will return null when no valid selection position is\n    found.\n    */\n    static findFrom($pos, dir, textOnly = false) {\n        let inner = $pos.parent.inlineContent ? new TextSelection($pos)\n            : findSelectionIn($pos.node(0), $pos.parent, $pos.pos, $pos.index(), dir, textOnly);\n        if (inner)\n            return inner;\n        for (let depth = $pos.depth - 1; depth >= 0; depth--) {\n            let found = dir < 0\n                ? findSelectionIn($pos.node(0), $pos.node(depth), $pos.before(depth + 1), $pos.index(depth), dir, textOnly)\n                : findSelectionIn($pos.node(0), $pos.node(depth), $pos.after(depth + 1), $pos.index(depth) + 1, dir, textOnly);\n            if (found)\n                return found;\n        }\n        return null;\n    }\n    /**\n    Find a valid cursor or leaf node selection near the given\n    position. Searches forward first by default, but if `bias` is\n    negative, it will search backwards first.\n    */\n    static near($pos, bias = 1) {\n        return this.findFrom($pos, bias) || this.findFrom($pos, -bias) || new AllSelection($pos.node(0));\n    }\n    /**\n    Find the cursor or leaf node selection closest to the start of\n    the given document. Will return an\n    [`AllSelection`](https://prosemirror.net/docs/ref/#state.AllSelection) if no valid position\n    exists.\n    */\n    static atStart(doc) {\n        return findSelectionIn(doc, doc, 0, 0, 1) || new AllSelection(doc);\n    }\n    /**\n    Find the cursor or leaf node selection closest to the end of the\n    given document.\n    */\n    static atEnd(doc) {\n        return findSelectionIn(doc, doc, doc.content.size, doc.childCount, -1) || new AllSelection(doc);\n    }\n    /**\n    Deserialize the JSON representation of a selection. Must be\n    implemented for custom classes (as a static class method).\n    */\n    static fromJSON(doc, json) {\n        if (!json || !json.type)\n            throw new RangeError(\"Invalid input for Selection.fromJSON\");\n        let cls = classesById[json.type];\n        if (!cls)\n            throw new RangeError(`No selection type ${json.type} defined`);\n        return cls.fromJSON(doc, json);\n    }\n    /**\n    To be able to deserialize selections from JSON, custom selection\n    classes must register themselves with an ID string, so that they\n    can be disambiguated. Try to pick something that's unlikely to\n    clash with classes from other modules.\n    */\n    static jsonID(id, selectionClass) {\n        if (id in classesById)\n            throw new RangeError(\"Duplicate use of selection JSON ID \" + id);\n        classesById[id] = selectionClass;\n        selectionClass.prototype.jsonID = id;\n        return selectionClass;\n    }\n    /**\n    Get a [bookmark](https://prosemirror.net/docs/ref/#state.SelectionBookmark) for this selection,\n    which is a value that can be mapped without having access to a\n    current document, and later resolved to a real selection for a\n    given document again. (This is used mostly by the history to\n    track and restore old selections.) The default implementation of\n    this method just converts the selection to a text selection and\n    returns the bookmark for that.\n    */\n    getBookmark() {\n        return TextSelection.between(this.$anchor, this.$head).getBookmark();\n    }\n}\nSelection.prototype.visible = true;\n/**\nRepresents a selected range in a document.\n*/\nclass SelectionRange {\n    /**\n    Create a range.\n    */\n    constructor(\n    /**\n    The lower bound of the range.\n    */\n    $from, \n    /**\n    The upper bound of the range.\n    */\n    $to) {\n        this.$from = $from;\n        this.$to = $to;\n    }\n}\nlet warnedAboutTextSelection = false;\nfunction checkTextSelection($pos) {\n    if (!warnedAboutTextSelection && !$pos.parent.inlineContent) {\n        warnedAboutTextSelection = true;\n        console[\"warn\"](\"TextSelection endpoint not pointing into a node with inline content (\" + $pos.parent.type.name + \")\");\n    }\n}\n/**\nA text selection represents a classical editor selection, with a\nhead (the moving side) and anchor (immobile side), both of which\npoint into textblock nodes. It can be empty (a regular cursor\nposition).\n*/\nclass TextSelection extends Selection {\n    /**\n    Construct a text selection between the given points.\n    */\n    constructor($anchor, $head = $anchor) {\n        checkTextSelection($anchor);\n        checkTextSelection($head);\n        super($anchor, $head);\n    }\n    /**\n    Returns a resolved position if this is a cursor selection (an\n    empty text selection), and null otherwise.\n    */\n    get $cursor() { return this.$anchor.pos == this.$head.pos ? this.$head : null; }\n    map(doc, mapping) {\n        let $head = doc.resolve(mapping.map(this.head));\n        if (!$head.parent.inlineContent)\n            return Selection.near($head);\n        let $anchor = doc.resolve(mapping.map(this.anchor));\n        return new TextSelection($anchor.parent.inlineContent ? $anchor : $head, $head);\n    }\n    replace(tr, content = Slice.empty) {\n        super.replace(tr, content);\n        if (content == Slice.empty) {\n            let marks = this.$from.marksAcross(this.$to);\n            if (marks)\n                tr.ensureMarks(marks);\n        }\n    }\n    eq(other) {\n        return other instanceof TextSelection && other.anchor == this.anchor && other.head == this.head;\n    }\n    getBookmark() {\n        return new TextBookmark(this.anchor, this.head);\n    }\n    toJSON() {\n        return { type: \"text\", anchor: this.anchor, head: this.head };\n    }\n    /**\n    @internal\n    */\n    static fromJSON(doc, json) {\n        if (typeof json.anchor != \"number\" || typeof json.head != \"number\")\n            throw new RangeError(\"Invalid input for TextSelection.fromJSON\");\n        return new TextSelection(doc.resolve(json.anchor), doc.resolve(json.head));\n    }\n    /**\n    Create a text selection from non-resolved positions.\n    */\n    static create(doc, anchor, head = anchor) {\n        let $anchor = doc.resolve(anchor);\n        return new this($anchor, head == anchor ? $anchor : doc.resolve(head));\n    }\n    /**\n    Return a text selection that spans the given positions or, if\n    they aren't text positions, find a text selection near them.\n    `bias` determines whether the method searches forward (default)\n    or backwards (negative number) first. Will fall back to calling\n    [`Selection.near`](https://prosemirror.net/docs/ref/#state.Selection^near) when the document\n    doesn't contain a valid text position.\n    */\n    static between($anchor, $head, bias) {\n        let dPos = $anchor.pos - $head.pos;\n        if (!bias || dPos)\n            bias = dPos >= 0 ? 1 : -1;\n        if (!$head.parent.inlineContent) {\n            let found = Selection.findFrom($head, bias, true) || Selection.findFrom($head, -bias, true);\n            if (found)\n                $head = found.$head;\n            else\n                return Selection.near($head, bias);\n        }\n        if (!$anchor.parent.inlineContent) {\n            if (dPos == 0) {\n                $anchor = $head;\n            }\n            else {\n                $anchor = (Selection.findFrom($anchor, -bias, true) || Selection.findFrom($anchor, bias, true)).$anchor;\n                if (($anchor.pos < $head.pos) != (dPos < 0))\n                    $anchor = $head;\n            }\n        }\n        return new TextSelection($anchor, $head);\n    }\n}\nSelection.jsonID(\"text\", TextSelection);\nclass TextBookmark {\n    constructor(anchor, head) {\n        this.anchor = anchor;\n        this.head = head;\n    }\n    map(mapping) {\n        return new TextBookmark(mapping.map(this.anchor), mapping.map(this.head));\n    }\n    resolve(doc) {\n        return TextSelection.between(doc.resolve(this.anchor), doc.resolve(this.head));\n    }\n}\n/**\nA node selection is a selection that points at a single node. All\nnodes marked [selectable](https://prosemirror.net/docs/ref/#model.NodeSpec.selectable) can be the\ntarget of a node selection. In such a selection, `from` and `to`\npoint directly before and after the selected node, `anchor` equals\n`from`, and `head` equals `to`..\n*/\nclass NodeSelection extends Selection {\n    /**\n    Create a node selection. Does not verify the validity of its\n    argument.\n    */\n    constructor($pos) {\n        let node = $pos.nodeAfter;\n        let $end = $pos.node(0).resolve($pos.pos + node.nodeSize);\n        super($pos, $end);\n        this.node = node;\n    }\n    map(doc, mapping) {\n        let { deleted, pos } = mapping.mapResult(this.anchor);\n        let $pos = doc.resolve(pos);\n        if (deleted)\n            return Selection.near($pos);\n        return new NodeSelection($pos);\n    }\n    content() {\n        return new Slice(Fragment.from(this.node), 0, 0);\n    }\n    eq(other) {\n        return other instanceof NodeSelection && other.anchor == this.anchor;\n    }\n    toJSON() {\n        return { type: \"node\", anchor: this.anchor };\n    }\n    getBookmark() { return new NodeBookmark(this.anchor); }\n    /**\n    @internal\n    */\n    static fromJSON(doc, json) {\n        if (typeof json.anchor != \"number\")\n            throw new RangeError(\"Invalid input for NodeSelection.fromJSON\");\n        return new NodeSelection(doc.resolve(json.anchor));\n    }\n    /**\n    Create a node selection from non-resolved positions.\n    */\n    static create(doc, from) {\n        return new NodeSelection(doc.resolve(from));\n    }\n    /**\n    Determines whether the given node may be selected as a node\n    selection.\n    */\n    static isSelectable(node) {\n        return !node.isText && node.type.spec.selectable !== false;\n    }\n}\nNodeSelection.prototype.visible = false;\nSelection.jsonID(\"node\", NodeSelection);\nclass NodeBookmark {\n    constructor(anchor) {\n        this.anchor = anchor;\n    }\n    map(mapping) {\n        let { deleted, pos } = mapping.mapResult(this.anchor);\n        return deleted ? new TextBookmark(pos, pos) : new NodeBookmark(pos);\n    }\n    resolve(doc) {\n        let $pos = doc.resolve(this.anchor), node = $pos.nodeAfter;\n        if (node && NodeSelection.isSelectable(node))\n            return new NodeSelection($pos);\n        return Selection.near($pos);\n    }\n}\n/**\nA selection type that represents selecting the whole document\n(which can not necessarily be expressed with a text selection, when\nthere are for example leaf block nodes at the start or end of the\ndocument).\n*/\nclass AllSelection extends Selection {\n    /**\n    Create an all-selection over the given document.\n    */\n    constructor(doc) {\n        super(doc.resolve(0), doc.resolve(doc.content.size));\n    }\n    replace(tr, content = Slice.empty) {\n        if (content == Slice.empty) {\n            tr.delete(0, tr.doc.content.size);\n            let sel = Selection.atStart(tr.doc);\n            if (!sel.eq(tr.selection))\n                tr.setSelection(sel);\n        }\n        else {\n            super.replace(tr, content);\n        }\n    }\n    toJSON() { return { type: \"all\" }; }\n    /**\n    @internal\n    */\n    static fromJSON(doc) { return new AllSelection(doc); }\n    map(doc) { return new AllSelection(doc); }\n    eq(other) { return other instanceof AllSelection; }\n    getBookmark() { return AllBookmark; }\n}\nSelection.jsonID(\"all\", AllSelection);\nconst AllBookmark = {\n    map() { return this; },\n    resolve(doc) { return new AllSelection(doc); }\n};\n// FIXME we'll need some awareness of text direction when scanning for selections\n// Try to find a selection inside the given node. `pos` points at the\n// position where the search starts. When `text` is true, only return\n// text selections.\nfunction findSelectionIn(doc, node, pos, index, dir, text = false) {\n    if (node.inlineContent)\n        return TextSelection.create(doc, pos);\n    for (let i = index - (dir > 0 ? 0 : 1); dir > 0 ? i < node.childCount : i >= 0; i += dir) {\n        let child = node.child(i);\n        if (!child.isAtom) {\n            let inner = findSelectionIn(doc, child, pos + dir, dir < 0 ? child.childCount : 0, dir, text);\n            if (inner)\n                return inner;\n        }\n        else if (!text && NodeSelection.isSelectable(child)) {\n            return NodeSelection.create(doc, pos - (dir < 0 ? child.nodeSize : 0));\n        }\n        pos += child.nodeSize * dir;\n    }\n    return null;\n}\nfunction selectionToInsertionEnd(tr, startLen, bias) {\n    let last = tr.steps.length - 1;\n    if (last < startLen)\n        return;\n    let step = tr.steps[last];\n    if (!(step instanceof ReplaceStep || step instanceof ReplaceAroundStep))\n        return;\n    let map = tr.mapping.maps[last], end;\n    map.forEach((_from, _to, _newFrom, newTo) => { if (end == null)\n        end = newTo; });\n    tr.setSelection(Selection.near(tr.doc.resolve(end), bias));\n}\n\nconst UPDATED_SEL = 1, UPDATED_MARKS = 2, UPDATED_SCROLL = 4;\n/**\nAn editor state transaction, which can be applied to a state to\ncreate an updated state. Use\n[`EditorState.tr`](https://prosemirror.net/docs/ref/#state.EditorState.tr) to create an instance.\n\nTransactions track changes to the document (they are a subclass of\n[`Transform`](https://prosemirror.net/docs/ref/#transform.Transform)), but also other state changes,\nlike selection updates and adjustments of the set of [stored\nmarks](https://prosemirror.net/docs/ref/#state.EditorState.storedMarks). In addition, you can store\nmetadata properties in a transaction, which are extra pieces of\ninformation that client code or plugins can use to describe what a\ntransaction represents, so that they can update their [own\nstate](https://prosemirror.net/docs/ref/#state.StateField) accordingly.\n\nThe [editor view](https://prosemirror.net/docs/ref/#view.EditorView) uses a few metadata\nproperties: it will attach a property `\"pointer\"` with the value\n`true` to selection transactions directly caused by mouse or touch\ninput, a `\"composition\"` property holding an ID identifying the\ncomposition that caused it to transactions caused by composed DOM\ninput, and a `\"uiEvent\"` property of that may be `\"paste\"`,\n`\"cut\"`, or `\"drop\"`.\n*/\nclass Transaction extends Transform {\n    /**\n    @internal\n    */\n    constructor(state) {\n        super(state.doc);\n        // The step count for which the current selection is valid.\n        this.curSelectionFor = 0;\n        // Bitfield to track which aspects of the state were updated by\n        // this transaction.\n        this.updated = 0;\n        // Object used to store metadata properties for the transaction.\n        this.meta = Object.create(null);\n        this.time = Date.now();\n        this.curSelection = state.selection;\n        this.storedMarks = state.storedMarks;\n    }\n    /**\n    The transaction's current selection. This defaults to the editor\n    selection [mapped](https://prosemirror.net/docs/ref/#state.Selection.map) through the steps in the\n    transaction, but can be overwritten with\n    [`setSelection`](https://prosemirror.net/docs/ref/#state.Transaction.setSelection).\n    */\n    get selection() {\n        if (this.curSelectionFor < this.steps.length) {\n            this.curSelection = this.curSelection.map(this.doc, this.mapping.slice(this.curSelectionFor));\n            this.curSelectionFor = this.steps.length;\n        }\n        return this.curSelection;\n    }\n    /**\n    Update the transaction's current selection. Will determine the\n    selection that the editor gets when the transaction is applied.\n    */\n    setSelection(selection) {\n        if (selection.$from.doc != this.doc)\n            throw new RangeError(\"Selection passed to setSelection must point at the current document\");\n        this.curSelection = selection;\n        this.curSelectionFor = this.steps.length;\n        this.updated = (this.updated | UPDATED_SEL) & ~UPDATED_MARKS;\n        this.storedMarks = null;\n        return this;\n    }\n    /**\n    Whether the selection was explicitly updated by this transaction.\n    */\n    get selectionSet() {\n        return (this.updated & UPDATED_SEL) > 0;\n    }\n    /**\n    Set the current stored marks.\n    */\n    setStoredMarks(marks) {\n        this.storedMarks = marks;\n        this.updated |= UPDATED_MARKS;\n        return this;\n    }\n    /**\n    Make sure the current stored marks or, if that is null, the marks\n    at the selection, match the given set of marks. Does nothing if\n    this is already the case.\n    */\n    ensureMarks(marks) {\n        if (!Mark.sameSet(this.storedMarks || this.selection.$from.marks(), marks))\n            this.setStoredMarks(marks);\n        return this;\n    }\n    /**\n    Add a mark to the set of stored marks.\n    */\n    addStoredMark(mark) {\n        return this.ensureMarks(mark.addToSet(this.storedMarks || this.selection.$head.marks()));\n    }\n    /**\n    Remove a mark or mark type from the set of stored marks.\n    */\n    removeStoredMark(mark) {\n        return this.ensureMarks(mark.removeFromSet(this.storedMarks || this.selection.$head.marks()));\n    }\n    /**\n    Whether the stored marks were explicitly set for this transaction.\n    */\n    get storedMarksSet() {\n        return (this.updated & UPDATED_MARKS) > 0;\n    }\n    /**\n    @internal\n    */\n    addStep(step, doc) {\n        super.addStep(step, doc);\n        this.updated = this.updated & ~UPDATED_MARKS;\n        this.storedMarks = null;\n    }\n    /**\n    Update the timestamp for the transaction.\n    */\n    setTime(time) {\n        this.time = time;\n        return this;\n    }\n    /**\n    Replace the current selection with the given slice.\n    */\n    replaceSelection(slice) {\n        this.selection.replace(this, slice);\n        return this;\n    }\n    /**\n    Replace the selection with the given node. When `inheritMarks` is\n    true and the content is inline, it inherits the marks from the\n    place where it is inserted.\n    */\n    replaceSelectionWith(node, inheritMarks = true) {\n        let selection = this.selection;\n        if (inheritMarks)\n            node = node.mark(this.storedMarks || (selection.empty ? selection.$from.marks() : (selection.$from.marksAcross(selection.$to) || Mark.none)));\n        selection.replaceWith(this, node);\n        return this;\n    }\n    /**\n    Delete the selection.\n    */\n    deleteSelection() {\n        this.selection.replace(this);\n        return this;\n    }\n    /**\n    Replace the given range, or the selection if no range is given,\n    with a text node containing the given string.\n    */\n    insertText(text, from, to) {\n        let schema = this.doc.type.schema;\n        if (from == null) {\n            if (!text)\n                return this.deleteSelection();\n            return this.replaceSelectionWith(schema.text(text), true);\n        }\n        else {\n            if (to == null)\n                to = from;\n            to = to == null ? from : to;\n            if (!text)\n                return this.deleteRange(from, to);\n            let marks = this.storedMarks;\n            if (!marks) {\n                let $from = this.doc.resolve(from);\n                marks = to == from ? $from.marks() : $from.marksAcross(this.doc.resolve(to));\n            }\n            this.replaceRangeWith(from, to, schema.text(text, marks));\n            if (!this.selection.empty)\n                this.setSelection(Selection.near(this.selection.$to));\n            return this;\n        }\n    }\n    /**\n    Store a metadata property in this transaction, keyed either by\n    name or by plugin.\n    */\n    setMeta(key, value) {\n        this.meta[typeof key == \"string\" ? key : key.key] = value;\n        return this;\n    }\n    /**\n    Retrieve a metadata property for a given name or plugin.\n    */\n    getMeta(key) {\n        return this.meta[typeof key == \"string\" ? key : key.key];\n    }\n    /**\n    Returns true if this transaction doesn't contain any metadata,\n    and can thus safely be extended.\n    */\n    get isGeneric() {\n        for (let _ in this.meta)\n            return false;\n        return true;\n    }\n    /**\n    Indicate that the editor should scroll the selection into view\n    when updated to the state produced by this transaction.\n    */\n    scrollIntoView() {\n        this.updated |= UPDATED_SCROLL;\n        return this;\n    }\n    /**\n    True when this transaction has had `scrollIntoView` called on it.\n    */\n    get scrolledIntoView() {\n        return (this.updated & UPDATED_SCROLL) > 0;\n    }\n}\n\nfunction bind(f, self) {\n    return !self || !f ? f : f.bind(self);\n}\nclass FieldDesc {\n    constructor(name, desc, self) {\n        this.name = name;\n        this.init = bind(desc.init, self);\n        this.apply = bind(desc.apply, self);\n    }\n}\nconst baseFields = [\n    new FieldDesc(\"doc\", {\n        init(config) { return config.doc || config.schema.topNodeType.createAndFill(); },\n        apply(tr) { return tr.doc; }\n    }),\n    new FieldDesc(\"selection\", {\n        init(config, instance) { return config.selection || Selection.atStart(instance.doc); },\n        apply(tr) { return tr.selection; }\n    }),\n    new FieldDesc(\"storedMarks\", {\n        init(config) { return config.storedMarks || null; },\n        apply(tr, _marks, _old, state) { return state.selection.$cursor ? tr.storedMarks : null; }\n    }),\n    new FieldDesc(\"scrollToSelection\", {\n        init() { return 0; },\n        apply(tr, prev) { return tr.scrolledIntoView ? prev + 1 : prev; }\n    })\n];\n// Object wrapping the part of a state object that stays the same\n// across transactions. Stored in the state's `config` property.\nclass Configuration {\n    constructor(schema, plugins) {\n        this.schema = schema;\n        this.plugins = [];\n        this.pluginsByKey = Object.create(null);\n        this.fields = baseFields.slice();\n        if (plugins)\n            plugins.forEach(plugin => {\n                if (this.pluginsByKey[plugin.key])\n                    throw new RangeError(\"Adding different instances of a keyed plugin (\" + plugin.key + \")\");\n                this.plugins.push(plugin);\n                this.pluginsByKey[plugin.key] = plugin;\n                if (plugin.spec.state)\n                    this.fields.push(new FieldDesc(plugin.key, plugin.spec.state, plugin));\n            });\n    }\n}\n/**\nThe state of a ProseMirror editor is represented by an object of\nthis type. A state is a persistent data structure—it isn't\nupdated, but rather a new state value is computed from an old one\nusing the [`apply`](https://prosemirror.net/docs/ref/#state.EditorState.apply) method.\n\nA state holds a number of built-in fields, and plugins can\n[define](https://prosemirror.net/docs/ref/#state.PluginSpec.state) additional fields.\n*/\nclass EditorState {\n    /**\n    @internal\n    */\n    constructor(\n    /**\n    @internal\n    */\n    config) {\n        this.config = config;\n    }\n    /**\n    The schema of the state's document.\n    */\n    get schema() {\n        return this.config.schema;\n    }\n    /**\n    The plugins that are active in this state.\n    */\n    get plugins() {\n        return this.config.plugins;\n    }\n    /**\n    Apply the given transaction to produce a new state.\n    */\n    apply(tr) {\n        return this.applyTransaction(tr).state;\n    }\n    /**\n    @internal\n    */\n    filterTransaction(tr, ignore = -1) {\n        for (let i = 0; i < this.config.plugins.length; i++)\n            if (i != ignore) {\n                let plugin = this.config.plugins[i];\n                if (plugin.spec.filterTransaction && !plugin.spec.filterTransaction.call(plugin, tr, this))\n                    return false;\n            }\n        return true;\n    }\n    /**\n    Verbose variant of [`apply`](https://prosemirror.net/docs/ref/#state.EditorState.apply) that\n    returns the precise transactions that were applied (which might\n    be influenced by the [transaction\n    hooks](https://prosemirror.net/docs/ref/#state.PluginSpec.filterTransaction) of\n    plugins) along with the new state.\n    */\n    applyTransaction(rootTr) {\n        if (!this.filterTransaction(rootTr))\n            return { state: this, transactions: [] };\n        let trs = [rootTr], newState = this.applyInner(rootTr), seen = null;\n        // This loop repeatedly gives plugins a chance to respond to\n        // transactions as new transactions are added, making sure to only\n        // pass the transactions the plugin did not see before.\n        for (;;) {\n            let haveNew = false;\n            for (let i = 0; i < this.config.plugins.length; i++) {\n                let plugin = this.config.plugins[i];\n                if (plugin.spec.appendTransaction) {\n                    let n = seen ? seen[i].n : 0, oldState = seen ? seen[i].state : this;\n                    let tr = n < trs.length &&\n                        plugin.spec.appendTransaction.call(plugin, n ? trs.slice(n) : trs, oldState, newState);\n                    if (tr && newState.filterTransaction(tr, i)) {\n                        tr.setMeta(\"appendedTransaction\", rootTr);\n                        if (!seen) {\n                            seen = [];\n                            for (let j = 0; j < this.config.plugins.length; j++)\n                                seen.push(j < i ? { state: newState, n: trs.length } : { state: this, n: 0 });\n                        }\n                        trs.push(tr);\n                        newState = newState.applyInner(tr);\n                        haveNew = true;\n                    }\n                    if (seen)\n                        seen[i] = { state: newState, n: trs.length };\n                }\n            }\n            if (!haveNew)\n                return { state: newState, transactions: trs };\n        }\n    }\n    /**\n    @internal\n    */\n    applyInner(tr) {\n        if (!tr.before.eq(this.doc))\n            throw new RangeError(\"Applying a mismatched transaction\");\n        let newInstance = new EditorState(this.config), fields = this.config.fields;\n        for (let i = 0; i < fields.length; i++) {\n            let field = fields[i];\n            newInstance[field.name] = field.apply(tr, this[field.name], this, newInstance);\n        }\n        return newInstance;\n    }\n    /**\n    Start a [transaction](https://prosemirror.net/docs/ref/#state.Transaction) from this state.\n    */\n    get tr() { return new Transaction(this); }\n    /**\n    Create a new state.\n    */\n    static create(config) {\n        let $config = new Configuration(config.doc ? config.doc.type.schema : config.schema, config.plugins);\n        let instance = new EditorState($config);\n        for (let i = 0; i < $config.fields.length; i++)\n            instance[$config.fields[i].name] = $config.fields[i].init(config, instance);\n        return instance;\n    }\n    /**\n    Create a new state based on this one, but with an adjusted set\n    of active plugins. State fields that exist in both sets of\n    plugins are kept unchanged. Those that no longer exist are\n    dropped, and those that are new are initialized using their\n    [`init`](https://prosemirror.net/docs/ref/#state.StateField.init) method, passing in the new\n    configuration object..\n    */\n    reconfigure(config) {\n        let $config = new Configuration(this.schema, config.plugins);\n        let fields = $config.fields, instance = new EditorState($config);\n        for (let i = 0; i < fields.length; i++) {\n            let name = fields[i].name;\n            instance[name] = this.hasOwnProperty(name) ? this[name] : fields[i].init(config, instance);\n        }\n        return instance;\n    }\n    /**\n    Serialize this state to JSON. If you want to serialize the state\n    of plugins, pass an object mapping property names to use in the\n    resulting JSON object to plugin objects. The argument may also be\n    a string or number, in which case it is ignored, to support the\n    way `JSON.stringify` calls `toString` methods.\n    */\n    toJSON(pluginFields) {\n        let result = { doc: this.doc.toJSON(), selection: this.selection.toJSON() };\n        if (this.storedMarks)\n            result.storedMarks = this.storedMarks.map(m => m.toJSON());\n        if (pluginFields && typeof pluginFields == 'object')\n            for (let prop in pluginFields) {\n                if (prop == \"doc\" || prop == \"selection\")\n                    throw new RangeError(\"The JSON fields `doc` and `selection` are reserved\");\n                let plugin = pluginFields[prop], state = plugin.spec.state;\n                if (state && state.toJSON)\n                    result[prop] = state.toJSON.call(plugin, this[plugin.key]);\n            }\n        return result;\n    }\n    /**\n    Deserialize a JSON representation of a state. `config` should\n    have at least a `schema` field, and should contain array of\n    plugins to initialize the state with. `pluginFields` can be used\n    to deserialize the state of plugins, by associating plugin\n    instances with the property names they use in the JSON object.\n    */\n    static fromJSON(config, json, pluginFields) {\n        if (!json)\n            throw new RangeError(\"Invalid input for EditorState.fromJSON\");\n        if (!config.schema)\n            throw new RangeError(\"Required config field 'schema' missing\");\n        let $config = new Configuration(config.schema, config.plugins);\n        let instance = new EditorState($config);\n        $config.fields.forEach(field => {\n            if (field.name == \"doc\") {\n                instance.doc = Node.fromJSON(config.schema, json.doc);\n            }\n            else if (field.name == \"selection\") {\n                instance.selection = Selection.fromJSON(instance.doc, json.selection);\n            }\n            else if (field.name == \"storedMarks\") {\n                if (json.storedMarks)\n                    instance.storedMarks = json.storedMarks.map(config.schema.markFromJSON);\n            }\n            else {\n                if (pluginFields)\n                    for (let prop in pluginFields) {\n                        let plugin = pluginFields[prop], state = plugin.spec.state;\n                        if (plugin.key == field.name && state && state.fromJSON &&\n                            Object.prototype.hasOwnProperty.call(json, prop)) {\n                            instance[field.name] = state.fromJSON.call(plugin, config, json[prop], instance);\n                            return;\n                        }\n                    }\n                instance[field.name] = field.init(config, instance);\n            }\n        });\n        return instance;\n    }\n}\n\nfunction bindProps(obj, self, target) {\n    for (let prop in obj) {\n        let val = obj[prop];\n        if (val instanceof Function)\n            val = val.bind(self);\n        else if (prop == \"handleDOMEvents\")\n            val = bindProps(val, self, {});\n        target[prop] = val;\n    }\n    return target;\n}\n/**\nPlugins bundle functionality that can be added to an editor.\nThey are part of the [editor state](https://prosemirror.net/docs/ref/#state.EditorState) and\nmay influence that state and the view that contains it.\n*/\nclass Plugin {\n    /**\n    Create a plugin.\n    */\n    constructor(\n    /**\n    The plugin's [spec object](https://prosemirror.net/docs/ref/#state.PluginSpec).\n    */\n    spec) {\n        this.spec = spec;\n        /**\n        The [props](https://prosemirror.net/docs/ref/#view.EditorProps) exported by this plugin.\n        */\n        this.props = {};\n        if (spec.props)\n            bindProps(spec.props, this, this.props);\n        this.key = spec.key ? spec.key.key : createKey(\"plugin\");\n    }\n    /**\n    Extract the plugin's state field from an editor state.\n    */\n    getState(state) { return state[this.key]; }\n}\nconst keys = Object.create(null);\nfunction createKey(name) {\n    if (name in keys)\n        return name + \"$\" + ++keys[name];\n    keys[name] = 0;\n    return name + \"$\";\n}\n/**\nA key is used to [tag](https://prosemirror.net/docs/ref/#state.PluginSpec.key) plugins in a way\nthat makes it possible to find them, given an editor state.\nAssigning a key does mean only one plugin of that type can be\nactive in a state.\n*/\nclass PluginKey {\n    /**\n    Create a plugin key.\n    */\n    constructor(name = \"key\") { this.key = createKey(name); }\n    /**\n    Get the active plugin with this key, if any, from an editor\n    state.\n    */\n    get(state) { return state.config.pluginsByKey[this.key]; }\n    /**\n    Get the plugin's state from an editor state.\n    */\n    getState(state) { return state[this.key]; }\n}\n\nexport { AllSelection, EditorState, NodeSelection, Plugin, PluginKey, Selection, SelectionRange, TextSelection, Transaction };\n","import { TextSelection, NodeSelection, AllSelection, Selection } from 'prosemirror-state';\nimport { DOMSerializer, Fragment, Mark, Slice, DOMParser } from 'prosemirror-model';\nimport { dropPoint } from 'prosemirror-transform';\n\nconst domIndex = function (node) {\n    for (var index = 0;; index++) {\n        node = node.previousSibling;\n        if (!node)\n            return index;\n    }\n};\nconst parentNode = function (node) {\n    let parent = node.assignedSlot || node.parentNode;\n    return parent && parent.nodeType == 11 ? parent.host : parent;\n};\nlet reusedRange = null;\n// Note that this will always return the same range, because DOM range\n// objects are every expensive, and keep slowing down subsequent DOM\n// updates, for some reason.\nconst textRange = function (node, from, to) {\n    let range = reusedRange || (reusedRange = document.createRange());\n    range.setEnd(node, to == null ? node.nodeValue.length : to);\n    range.setStart(node, from || 0);\n    return range;\n};\nconst clearReusedRange = function () {\n    reusedRange = null;\n};\n// Scans forward and backward through DOM positions equivalent to the\n// given one to see if the two are in the same place (i.e. after a\n// text node vs at the end of that text node)\nconst isEquivalentPosition = function (node, off, targetNode, targetOff) {\n    return targetNode && (scanFor(node, off, targetNode, targetOff, -1) ||\n        scanFor(node, off, targetNode, targetOff, 1));\n};\nconst atomElements = /^(img|br|input|textarea|hr)$/i;\nfunction scanFor(node, off, targetNode, targetOff, dir) {\n    for (;;) {\n        if (node == targetNode && off == targetOff)\n            return true;\n        if (off == (dir < 0 ? 0 : nodeSize(node))) {\n            let parent = node.parentNode;\n            if (!parent || parent.nodeType != 1 || hasBlockDesc(node) || atomElements.test(node.nodeName) ||\n                node.contentEditable == \"false\")\n                return false;\n            off = domIndex(node) + (dir < 0 ? 0 : 1);\n            node = parent;\n        }\n        else if (node.nodeType == 1) {\n            node = node.childNodes[off + (dir < 0 ? -1 : 0)];\n            if (node.contentEditable == \"false\")\n                return false;\n            off = dir < 0 ? nodeSize(node) : 0;\n        }\n        else {\n            return false;\n        }\n    }\n}\nfunction nodeSize(node) {\n    return node.nodeType == 3 ? node.nodeValue.length : node.childNodes.length;\n}\nfunction textNodeBefore$1(node, offset) {\n    for (;;) {\n        if (node.nodeType == 3 && offset)\n            return node;\n        if (node.nodeType == 1 && offset > 0) {\n            if (node.contentEditable == \"false\")\n                return null;\n            node = node.childNodes[offset - 1];\n            offset = nodeSize(node);\n        }\n        else if (node.parentNode && !hasBlockDesc(node)) {\n            offset = domIndex(node);\n            node = node.parentNode;\n        }\n        else {\n            return null;\n        }\n    }\n}\nfunction textNodeAfter$1(node, offset) {\n    for (;;) {\n        if (node.nodeType == 3 && offset < node.nodeValue.length)\n            return node;\n        if (node.nodeType == 1 && offset < node.childNodes.length) {\n            if (node.contentEditable == \"false\")\n                return null;\n            node = node.childNodes[offset];\n            offset = 0;\n        }\n        else if (node.parentNode && !hasBlockDesc(node)) {\n            offset = domIndex(node) + 1;\n            node = node.parentNode;\n        }\n        else {\n            return null;\n        }\n    }\n}\nfunction isOnEdge(node, offset, parent) {\n    for (let atStart = offset == 0, atEnd = offset == nodeSize(node); atStart || atEnd;) {\n        if (node == parent)\n            return true;\n        let index = domIndex(node);\n        node = node.parentNode;\n        if (!node)\n            return false;\n        atStart = atStart && index == 0;\n        atEnd = atEnd && index == nodeSize(node);\n    }\n}\nfunction hasBlockDesc(dom) {\n    let desc;\n    for (let cur = dom; cur; cur = cur.parentNode)\n        if (desc = cur.pmViewDesc)\n            break;\n    return desc && desc.node && desc.node.isBlock && (desc.dom == dom || desc.contentDOM == dom);\n}\n// Work around Chrome issue https://bugs.chromium.org/p/chromium/issues/detail?id=447523\n// (isCollapsed inappropriately returns true in shadow dom)\nconst selectionCollapsed = function (domSel) {\n    return domSel.focusNode && isEquivalentPosition(domSel.focusNode, domSel.focusOffset, domSel.anchorNode, domSel.anchorOffset);\n};\nfunction keyEvent(keyCode, key) {\n    let event = document.createEvent(\"Event\");\n    event.initEvent(\"keydown\", true, true);\n    event.keyCode = keyCode;\n    event.key = event.code = key;\n    return event;\n}\nfunction deepActiveElement(doc) {\n    let elt = doc.activeElement;\n    while (elt && elt.shadowRoot)\n        elt = elt.shadowRoot.activeElement;\n    return elt;\n}\nfunction caretFromPoint(doc, x, y) {\n    if (doc.caretPositionFromPoint) {\n        try { // Firefox throws for this call in hard-to-predict circumstances (#994)\n            let pos = doc.caretPositionFromPoint(x, y);\n            if (pos)\n                return { node: pos.offsetNode, offset: pos.offset };\n        }\n        catch (_) { }\n    }\n    if (doc.caretRangeFromPoint) {\n        let range = doc.caretRangeFromPoint(x, y);\n        if (range)\n            return { node: range.startContainer, offset: range.startOffset };\n    }\n}\n\nconst nav = typeof navigator != \"undefined\" ? navigator : null;\nconst doc = typeof document != \"undefined\" ? document : null;\nconst agent = (nav && nav.userAgent) || \"\";\nconst ie_edge = /Edge\\/(\\d+)/.exec(agent);\nconst ie_upto10 = /MSIE \\d/.exec(agent);\nconst ie_11up = /Trident\\/(?:[7-9]|\\d{2,})\\..*rv:(\\d+)/.exec(agent);\nconst ie = !!(ie_upto10 || ie_11up || ie_edge);\nconst ie_version = ie_upto10 ? document.documentMode : ie_11up ? +ie_11up[1] : ie_edge ? +ie_edge[1] : 0;\nconst gecko = !ie && /gecko\\/(\\d+)/i.test(agent);\ngecko && +(/Firefox\\/(\\d+)/.exec(agent) || [0, 0])[1];\nconst _chrome = !ie && /Chrome\\/(\\d+)/.exec(agent);\nconst chrome = !!_chrome;\nconst chrome_version = _chrome ? +_chrome[1] : 0;\nconst safari = !ie && !!nav && /Apple Computer/.test(nav.vendor);\n// Is true for both iOS and iPadOS for convenience\nconst ios = safari && (/Mobile\\/\\w+/.test(agent) || !!nav && nav.maxTouchPoints > 2);\nconst mac = ios || (nav ? /Mac/.test(nav.platform) : false);\nconst windows = nav ? /Win/.test(nav.platform) : false;\nconst android = /Android \\d/.test(agent);\nconst webkit = !!doc && \"webkitFontSmoothing\" in doc.documentElement.style;\nconst webkit_version = webkit ? +(/\\bAppleWebKit\\/(\\d+)/.exec(navigator.userAgent) || [0, 0])[1] : 0;\n\nfunction windowRect(doc) {\n    let vp = doc.defaultView && doc.defaultView.visualViewport;\n    if (vp)\n        return {\n            left: 0, right: vp.width,\n            top: 0, bottom: vp.height\n        };\n    return { left: 0, right: doc.documentElement.clientWidth,\n        top: 0, bottom: doc.documentElement.clientHeight };\n}\nfunction getSide(value, side) {\n    return typeof value == \"number\" ? value : value[side];\n}\nfunction clientRect(node) {\n    let rect = node.getBoundingClientRect();\n    // Adjust for elements with style \"transform: scale()\"\n    let scaleX = (rect.width / node.offsetWidth) || 1;\n    let scaleY = (rect.height / node.offsetHeight) || 1;\n    // Make sure scrollbar width isn't included in the rectangle\n    return { left: rect.left, right: rect.left + node.clientWidth * scaleX,\n        top: rect.top, bottom: rect.top + node.clientHeight * scaleY };\n}\nfunction scrollRectIntoView(view, rect, startDOM) {\n    let scrollThreshold = view.someProp(\"scrollThreshold\") || 0, scrollMargin = view.someProp(\"scrollMargin\") || 5;\n    let doc = view.dom.ownerDocument;\n    for (let parent = startDOM || view.dom;; parent = parentNode(parent)) {\n        if (!parent)\n            break;\n        if (parent.nodeType != 1)\n            continue;\n        let elt = parent;\n        let atTop = elt == doc.body;\n        let bounding = atTop ? windowRect(doc) : clientRect(elt);\n        let moveX = 0, moveY = 0;\n        if (rect.top < bounding.top + getSide(scrollThreshold, \"top\"))\n            moveY = -(bounding.top - rect.top + getSide(scrollMargin, \"top\"));\n        else if (rect.bottom > bounding.bottom - getSide(scrollThreshold, \"bottom\"))\n            moveY = rect.bottom - rect.top > bounding.bottom - bounding.top\n                ? rect.top + getSide(scrollMargin, \"top\") - bounding.top\n                : rect.bottom - bounding.bottom + getSide(scrollMargin, \"bottom\");\n        if (rect.left < bounding.left + getSide(scrollThreshold, \"left\"))\n            moveX = -(bounding.left - rect.left + getSide(scrollMargin, \"left\"));\n        else if (rect.right > bounding.right - getSide(scrollThreshold, \"right\"))\n            moveX = rect.right - bounding.right + getSide(scrollMargin, \"right\");\n        if (moveX || moveY) {\n            if (atTop) {\n                doc.defaultView.scrollBy(moveX, moveY);\n            }\n            else {\n                let startX = elt.scrollLeft, startY = elt.scrollTop;\n                if (moveY)\n                    elt.scrollTop += moveY;\n                if (moveX)\n                    elt.scrollLeft += moveX;\n                let dX = elt.scrollLeft - startX, dY = elt.scrollTop - startY;\n                rect = { left: rect.left - dX, top: rect.top - dY, right: rect.right - dX, bottom: rect.bottom - dY };\n            }\n        }\n        if (atTop || /^(fixed|sticky)$/.test(getComputedStyle(parent).position))\n            break;\n    }\n}\n// Store the scroll position of the editor's parent nodes, along with\n// the top position of an element near the top of the editor, which\n// will be used to make sure the visible viewport remains stable even\n// when the size of the content above changes.\nfunction storeScrollPos(view) {\n    let rect = view.dom.getBoundingClientRect(), startY = Math.max(0, rect.top);\n    let refDOM, refTop;\n    for (let x = (rect.left + rect.right) / 2, y = startY + 1; y < Math.min(innerHeight, rect.bottom); y += 5) {\n        let dom = view.root.elementFromPoint(x, y);\n        if (!dom || dom == view.dom || !view.dom.contains(dom))\n            continue;\n        let localRect = dom.getBoundingClientRect();\n        if (localRect.top >= startY - 20) {\n            refDOM = dom;\n            refTop = localRect.top;\n            break;\n        }\n    }\n    return { refDOM: refDOM, refTop: refTop, stack: scrollStack(view.dom) };\n}\nfunction scrollStack(dom) {\n    let stack = [], doc = dom.ownerDocument;\n    for (let cur = dom; cur; cur = parentNode(cur)) {\n        stack.push({ dom: cur, top: cur.scrollTop, left: cur.scrollLeft });\n        if (dom == doc)\n            break;\n    }\n    return stack;\n}\n// Reset the scroll position of the editor's parent nodes to that what\n// it was before, when storeScrollPos was called.\nfunction resetScrollPos({ refDOM, refTop, stack }) {\n    let newRefTop = refDOM ? refDOM.getBoundingClientRect().top : 0;\n    restoreScrollStack(stack, newRefTop == 0 ? 0 : newRefTop - refTop);\n}\nfunction restoreScrollStack(stack, dTop) {\n    for (let i = 0; i < stack.length; i++) {\n        let { dom, top, left } = stack[i];\n        if (dom.scrollTop != top + dTop)\n            dom.scrollTop = top + dTop;\n        if (dom.scrollLeft != left)\n            dom.scrollLeft = left;\n    }\n}\nlet preventScrollSupported = null;\n// Feature-detects support for .focus({preventScroll: true}), and uses\n// a fallback kludge when not supported.\nfunction focusPreventScroll(dom) {\n    if (dom.setActive)\n        return dom.setActive(); // in IE\n    if (preventScrollSupported)\n        return dom.focus(preventScrollSupported);\n    let stored = scrollStack(dom);\n    dom.focus(preventScrollSupported == null ? {\n        get preventScroll() {\n            preventScrollSupported = { preventScroll: true };\n            return true;\n        }\n    } : undefined);\n    if (!preventScrollSupported) {\n        preventScrollSupported = false;\n        restoreScrollStack(stored, 0);\n    }\n}\nfunction findOffsetInNode(node, coords) {\n    let closest, dxClosest = 2e8, coordsClosest, offset = 0;\n    let rowBot = coords.top, rowTop = coords.top;\n    let firstBelow, coordsBelow;\n    for (let child = node.firstChild, childIndex = 0; child; child = child.nextSibling, childIndex++) {\n        let rects;\n        if (child.nodeType == 1)\n            rects = child.getClientRects();\n        else if (child.nodeType == 3)\n            rects = textRange(child).getClientRects();\n        else\n            continue;\n        for (let i = 0; i < rects.length; i++) {\n            let rect = rects[i];\n            if (rect.top <= rowBot && rect.bottom >= rowTop) {\n                rowBot = Math.max(rect.bottom, rowBot);\n                rowTop = Math.min(rect.top, rowTop);\n                let dx = rect.left > coords.left ? rect.left - coords.left\n                    : rect.right < coords.left ? coords.left - rect.right : 0;\n                if (dx < dxClosest) {\n                    closest = child;\n                    dxClosest = dx;\n                    coordsClosest = dx && closest.nodeType == 3 ? {\n                        left: rect.right < coords.left ? rect.right : rect.left,\n                        top: coords.top\n                    } : coords;\n                    if (child.nodeType == 1 && dx)\n                        offset = childIndex + (coords.left >= (rect.left + rect.right) / 2 ? 1 : 0);\n                    continue;\n                }\n            }\n            else if (rect.top > coords.top && !firstBelow && rect.left <= coords.left && rect.right >= coords.left) {\n                firstBelow = child;\n                coordsBelow = { left: Math.max(rect.left, Math.min(rect.right, coords.left)), top: rect.top };\n            }\n            if (!closest && (coords.left >= rect.right && coords.top >= rect.top ||\n                coords.left >= rect.left && coords.top >= rect.bottom))\n                offset = childIndex + 1;\n        }\n    }\n    if (!closest && firstBelow) {\n        closest = firstBelow;\n        coordsClosest = coordsBelow;\n        dxClosest = 0;\n    }\n    if (closest && closest.nodeType == 3)\n        return findOffsetInText(closest, coordsClosest);\n    if (!closest || (dxClosest && closest.nodeType == 1))\n        return { node, offset };\n    return findOffsetInNode(closest, coordsClosest);\n}\nfunction findOffsetInText(node, coords) {\n    let len = node.nodeValue.length;\n    let range = document.createRange();\n    for (let i = 0; i < len; i++) {\n        range.setEnd(node, i + 1);\n        range.setStart(node, i);\n        let rect = singleRect(range, 1);\n        if (rect.top == rect.bottom)\n            continue;\n        if (inRect(coords, rect))\n            return { node, offset: i + (coords.left >= (rect.left + rect.right) / 2 ? 1 : 0) };\n    }\n    return { node, offset: 0 };\n}\nfunction inRect(coords, rect) {\n    return coords.left >= rect.left - 1 && coords.left <= rect.right + 1 &&\n        coords.top >= rect.top - 1 && coords.top <= rect.bottom + 1;\n}\nfunction targetKludge(dom, coords) {\n    let parent = dom.parentNode;\n    if (parent && /^li$/i.test(parent.nodeName) && coords.left < dom.getBoundingClientRect().left)\n        return parent;\n    return dom;\n}\nfunction posFromElement(view, elt, coords) {\n    let { node, offset } = findOffsetInNode(elt, coords), bias = -1;\n    if (node.nodeType == 1 && !node.firstChild) {\n        let rect = node.getBoundingClientRect();\n        bias = rect.left != rect.right && coords.left > (rect.left + rect.right) / 2 ? 1 : -1;\n    }\n    return view.docView.posFromDOM(node, offset, bias);\n}\nfunction posFromCaret(view, node, offset, coords) {\n    // Browser (in caretPosition/RangeFromPoint) will agressively\n    // normalize towards nearby inline nodes. Since we are interested in\n    // positions between block nodes too, we first walk up the hierarchy\n    // of nodes to see if there are block nodes that the coordinates\n    // fall outside of. If so, we take the position before/after that\n    // block. If not, we call `posFromDOM` on the raw node/offset.\n    let outsideBlock = -1;\n    for (let cur = node, sawBlock = false;;) {\n        if (cur == view.dom)\n            break;\n        let desc = view.docView.nearestDesc(cur, true);\n        if (!desc)\n            return null;\n        if (desc.dom.nodeType == 1 && (desc.node.isBlock && desc.parent && !sawBlock || !desc.contentDOM)) {\n            let rect = desc.dom.getBoundingClientRect();\n            if (desc.node.isBlock && desc.parent && !sawBlock) {\n                sawBlock = true;\n                if (rect.left > coords.left || rect.top > coords.top)\n                    outsideBlock = desc.posBefore;\n                else if (rect.right < coords.left || rect.bottom < coords.top)\n                    outsideBlock = desc.posAfter;\n            }\n            if (!desc.contentDOM && outsideBlock < 0 && !desc.node.isText) {\n                // If we are inside a leaf, return the side of the leaf closer to the coords\n                let before = desc.node.isBlock ? coords.top < (rect.top + rect.bottom) / 2\n                    : coords.left < (rect.left + rect.right) / 2;\n                return before ? desc.posBefore : desc.posAfter;\n            }\n        }\n        cur = desc.dom.parentNode;\n    }\n    return outsideBlock > -1 ? outsideBlock : view.docView.posFromDOM(node, offset, -1);\n}\nfunction elementFromPoint(element, coords, box) {\n    let len = element.childNodes.length;\n    if (len && box.top < box.bottom) {\n        for (let startI = Math.max(0, Math.min(len - 1, Math.floor(len * (coords.top - box.top) / (box.bottom - box.top)) - 2)), i = startI;;) {\n            let child = element.childNodes[i];\n            if (child.nodeType == 1) {\n                let rects = child.getClientRects();\n                for (let j = 0; j < rects.length; j++) {\n                    let rect = rects[j];\n                    if (inRect(coords, rect))\n                        return elementFromPoint(child, coords, rect);\n                }\n            }\n            if ((i = (i + 1) % len) == startI)\n                break;\n        }\n    }\n    return element;\n}\n// Given an x,y position on the editor, get the position in the document.\nfunction posAtCoords(view, coords) {\n    let doc = view.dom.ownerDocument, node, offset = 0;\n    let caret = caretFromPoint(doc, coords.left, coords.top);\n    if (caret)\n        ({ node, offset } = caret);\n    let elt = (view.root.elementFromPoint ? view.root : doc)\n        .elementFromPoint(coords.left, coords.top);\n    let pos;\n    if (!elt || !view.dom.contains(elt.nodeType != 1 ? elt.parentNode : elt)) {\n        let box = view.dom.getBoundingClientRect();\n        if (!inRect(coords, box))\n            return null;\n        elt = elementFromPoint(view.dom, coords, box);\n        if (!elt)\n            return null;\n    }\n    // Safari's caretRangeFromPoint returns nonsense when on a draggable element\n    if (safari) {\n        for (let p = elt; node && p; p = parentNode(p))\n            if (p.draggable)\n                node = undefined;\n    }\n    elt = targetKludge(elt, coords);\n    if (node) {\n        if (gecko && node.nodeType == 1) {\n            // Firefox will sometimes return offsets into <input> nodes, which\n            // have no actual children, from caretPositionFromPoint (#953)\n            offset = Math.min(offset, node.childNodes.length);\n            // It'll also move the returned position before image nodes,\n            // even if those are behind it.\n            if (offset < node.childNodes.length) {\n                let next = node.childNodes[offset], box;\n                if (next.nodeName == \"IMG\" && (box = next.getBoundingClientRect()).right <= coords.left &&\n                    box.bottom > coords.top)\n                    offset++;\n            }\n        }\n        let prev;\n        // When clicking above the right side of an uneditable node, Chrome will report a cursor position after that node.\n        if (webkit && offset && node.nodeType == 1 && (prev = node.childNodes[offset - 1]).nodeType == 1 &&\n            prev.contentEditable == \"false\" && prev.getBoundingClientRect().top >= coords.top)\n            offset--;\n        // Suspiciously specific kludge to work around caret*FromPoint\n        // never returning a position at the end of the document\n        if (node == view.dom && offset == node.childNodes.length - 1 && node.lastChild.nodeType == 1 &&\n            coords.top > node.lastChild.getBoundingClientRect().bottom)\n            pos = view.state.doc.content.size;\n        // Ignore positions directly after a BR, since caret*FromPoint\n        // 'round up' positions that would be more accurately placed\n        // before the BR node.\n        else if (offset == 0 || node.nodeType != 1 || node.childNodes[offset - 1].nodeName != \"BR\")\n            pos = posFromCaret(view, node, offset, coords);\n    }\n    if (pos == null)\n        pos = posFromElement(view, elt, coords);\n    let desc = view.docView.nearestDesc(elt, true);\n    return { pos, inside: desc ? desc.posAtStart - desc.border : -1 };\n}\nfunction nonZero(rect) {\n    return rect.top < rect.bottom || rect.left < rect.right;\n}\nfunction singleRect(target, bias) {\n    let rects = target.getClientRects();\n    if (rects.length) {\n        let first = rects[bias < 0 ? 0 : rects.length - 1];\n        if (nonZero(first))\n            return first;\n    }\n    return Array.prototype.find.call(rects, nonZero) || target.getBoundingClientRect();\n}\nconst BIDI = /[\\u0590-\\u05f4\\u0600-\\u06ff\\u0700-\\u08ac]/;\n// Given a position in the document model, get a bounding box of the\n// character at that position, relative to the window.\nfunction coordsAtPos(view, pos, side) {\n    let { node, offset, atom } = view.docView.domFromPos(pos, side < 0 ? -1 : 1);\n    let supportEmptyRange = webkit || gecko;\n    if (node.nodeType == 3) {\n        // These browsers support querying empty text ranges. Prefer that in\n        // bidi context or when at the end of a node.\n        if (supportEmptyRange && (BIDI.test(node.nodeValue) || (side < 0 ? !offset : offset == node.nodeValue.length))) {\n            let rect = singleRect(textRange(node, offset, offset), side);\n            // Firefox returns bad results (the position before the space)\n            // when querying a position directly after line-broken\n            // whitespace. Detect this situation and and kludge around it\n            if (gecko && offset && /\\s/.test(node.nodeValue[offset - 1]) && offset < node.nodeValue.length) {\n                let rectBefore = singleRect(textRange(node, offset - 1, offset - 1), -1);\n                if (rectBefore.top == rect.top) {\n                    let rectAfter = singleRect(textRange(node, offset, offset + 1), -1);\n                    if (rectAfter.top != rect.top)\n                        return flattenV(rectAfter, rectAfter.left < rectBefore.left);\n                }\n            }\n            return rect;\n        }\n        else {\n            let from = offset, to = offset, takeSide = side < 0 ? 1 : -1;\n            if (side < 0 && !offset) {\n                to++;\n                takeSide = -1;\n            }\n            else if (side >= 0 && offset == node.nodeValue.length) {\n                from--;\n                takeSide = 1;\n            }\n            else if (side < 0) {\n                from--;\n            }\n            else {\n                to++;\n            }\n            return flattenV(singleRect(textRange(node, from, to), takeSide), takeSide < 0);\n        }\n    }\n    let $dom = view.state.doc.resolve(pos - (atom || 0));\n    // Return a horizontal line in block context\n    if (!$dom.parent.inlineContent) {\n        if (atom == null && offset && (side < 0 || offset == nodeSize(node))) {\n            let before = node.childNodes[offset - 1];\n            if (before.nodeType == 1)\n                return flattenH(before.getBoundingClientRect(), false);\n        }\n        if (atom == null && offset < nodeSize(node)) {\n            let after = node.childNodes[offset];\n            if (after.nodeType == 1)\n                return flattenH(after.getBoundingClientRect(), true);\n        }\n        return flattenH(node.getBoundingClientRect(), side >= 0);\n    }\n    // Inline, not in text node (this is not Bidi-safe)\n    if (atom == null && offset && (side < 0 || offset == nodeSize(node))) {\n        let before = node.childNodes[offset - 1];\n        let target = before.nodeType == 3 ? textRange(before, nodeSize(before) - (supportEmptyRange ? 0 : 1))\n            // BR nodes tend to only return the rectangle before them.\n            // Only use them if they are the last element in their parent\n            : before.nodeType == 1 && (before.nodeName != \"BR\" || !before.nextSibling) ? before : null;\n        if (target)\n            return flattenV(singleRect(target, 1), false);\n    }\n    if (atom == null && offset < nodeSize(node)) {\n        let after = node.childNodes[offset];\n        while (after.pmViewDesc && after.pmViewDesc.ignoreForCoords)\n            after = after.nextSibling;\n        let target = !after ? null : after.nodeType == 3 ? textRange(after, 0, (supportEmptyRange ? 0 : 1))\n            : after.nodeType == 1 ? after : null;\n        if (target)\n            return flattenV(singleRect(target, -1), true);\n    }\n    // All else failed, just try to get a rectangle for the target node\n    return flattenV(singleRect(node.nodeType == 3 ? textRange(node) : node, -side), side >= 0);\n}\nfunction flattenV(rect, left) {\n    if (rect.width == 0)\n        return rect;\n    let x = left ? rect.left : rect.right;\n    return { top: rect.top, bottom: rect.bottom, left: x, right: x };\n}\nfunction flattenH(rect, top) {\n    if (rect.height == 0)\n        return rect;\n    let y = top ? rect.top : rect.bottom;\n    return { top: y, bottom: y, left: rect.left, right: rect.right };\n}\nfunction withFlushedState(view, state, f) {\n    let viewState = view.state, active = view.root.activeElement;\n    if (viewState != state)\n        view.updateState(state);\n    if (active != view.dom)\n        view.focus();\n    try {\n        return f();\n    }\n    finally {\n        if (viewState != state)\n            view.updateState(viewState);\n        if (active != view.dom && active)\n            active.focus();\n    }\n}\n// Whether vertical position motion in a given direction\n// from a position would leave a text block.\nfunction endOfTextblockVertical(view, state, dir) {\n    let sel = state.selection;\n    let $pos = dir == \"up\" ? sel.$from : sel.$to;\n    return withFlushedState(view, state, () => {\n        let { node: dom } = view.docView.domFromPos($pos.pos, dir == \"up\" ? -1 : 1);\n        for (;;) {\n            let nearest = view.docView.nearestDesc(dom, true);\n            if (!nearest)\n                break;\n            if (nearest.node.isBlock) {\n                dom = nearest.contentDOM || nearest.dom;\n                break;\n            }\n            dom = nearest.dom.parentNode;\n        }\n        let coords = coordsAtPos(view, $pos.pos, 1);\n        for (let child = dom.firstChild; child; child = child.nextSibling) {\n            let boxes;\n            if (child.nodeType == 1)\n                boxes = child.getClientRects();\n            else if (child.nodeType == 3)\n                boxes = textRange(child, 0, child.nodeValue.length).getClientRects();\n            else\n                continue;\n            for (let i = 0; i < boxes.length; i++) {\n                let box = boxes[i];\n                if (box.bottom > box.top + 1 &&\n                    (dir == \"up\" ? coords.top - box.top > (box.bottom - coords.top) * 2\n                        : box.bottom - coords.bottom > (coords.bottom - box.top) * 2))\n                    return false;\n            }\n        }\n        return true;\n    });\n}\nconst maybeRTL = /[\\u0590-\\u08ac]/;\nfunction endOfTextblockHorizontal(view, state, dir) {\n    let { $head } = state.selection;\n    if (!$head.parent.isTextblock)\n        return false;\n    let offset = $head.parentOffset, atStart = !offset, atEnd = offset == $head.parent.content.size;\n    let sel = view.domSelection();\n    // If the textblock is all LTR, or the browser doesn't support\n    // Selection.modify (Edge), fall back to a primitive approach\n    if (!maybeRTL.test($head.parent.textContent) || !sel.modify)\n        return dir == \"left\" || dir == \"backward\" ? atStart : atEnd;\n    return withFlushedState(view, state, () => {\n        // This is a huge hack, but appears to be the best we can\n        // currently do: use `Selection.modify` to move the selection by\n        // one character, and see if that moves the cursor out of the\n        // textblock (or doesn't move it at all, when at the start/end of\n        // the document).\n        let { focusNode: oldNode, focusOffset: oldOff, anchorNode, anchorOffset } = view.domSelectionRange();\n        let oldBidiLevel = sel.caretBidiLevel // Only for Firefox\n        ;\n        sel.modify(\"move\", dir, \"character\");\n        let parentDOM = $head.depth ? view.docView.domAfterPos($head.before()) : view.dom;\n        let { focusNode: newNode, focusOffset: newOff } = view.domSelectionRange();\n        let result = newNode && !parentDOM.contains(newNode.nodeType == 1 ? newNode : newNode.parentNode) ||\n            (oldNode == newNode && oldOff == newOff);\n        // Restore the previous selection\n        try {\n            sel.collapse(anchorNode, anchorOffset);\n            if (oldNode && (oldNode != anchorNode || oldOff != anchorOffset) && sel.extend)\n                sel.extend(oldNode, oldOff);\n        }\n        catch (_) { }\n        if (oldBidiLevel != null)\n            sel.caretBidiLevel = oldBidiLevel;\n        return result;\n    });\n}\nlet cachedState = null;\nlet cachedDir = null;\nlet cachedResult = false;\nfunction endOfTextblock(view, state, dir) {\n    if (cachedState == state && cachedDir == dir)\n        return cachedResult;\n    cachedState = state;\n    cachedDir = dir;\n    return cachedResult = dir == \"up\" || dir == \"down\"\n        ? endOfTextblockVertical(view, state, dir)\n        : endOfTextblockHorizontal(view, state, dir);\n}\n\n// View descriptions are data structures that describe the DOM that is\n// used to represent the editor's content. They are used for:\n//\n// - Incremental redrawing when the document changes\n//\n// - Figuring out what part of the document a given DOM position\n//   corresponds to\n//\n// - Wiring in custom implementations of the editing interface for a\n//   given node\n//\n// They form a doubly-linked mutable tree, starting at `view.docView`.\nconst NOT_DIRTY = 0, CHILD_DIRTY = 1, CONTENT_DIRTY = 2, NODE_DIRTY = 3;\n// Superclass for the various kinds of descriptions. Defines their\n// basic structure and shared methods.\nclass ViewDesc {\n    constructor(parent, children, dom, \n    // This is the node that holds the child views. It may be null for\n    // descs that don't have children.\n    contentDOM) {\n        this.parent = parent;\n        this.children = children;\n        this.dom = dom;\n        this.contentDOM = contentDOM;\n        this.dirty = NOT_DIRTY;\n        // An expando property on the DOM node provides a link back to its\n        // description.\n        dom.pmViewDesc = this;\n    }\n    // Used to check whether a given description corresponds to a\n    // widget/mark/node.\n    matchesWidget(widget) { return false; }\n    matchesMark(mark) { return false; }\n    matchesNode(node, outerDeco, innerDeco) { return false; }\n    matchesHack(nodeName) { return false; }\n    // When parsing in-editor content (in domchange.js), we allow\n    // descriptions to determine the parse rules that should be used to\n    // parse them.\n    parseRule() { return null; }\n    // Used by the editor's event handler to ignore events that come\n    // from certain descs.\n    stopEvent(event) { return false; }\n    // The size of the content represented by this desc.\n    get size() {\n        let size = 0;\n        for (let i = 0; i < this.children.length; i++)\n            size += this.children[i].size;\n        return size;\n    }\n    // For block nodes, this represents the space taken up by their\n    // start/end tokens.\n    get border() { return 0; }\n    destroy() {\n        this.parent = undefined;\n        if (this.dom.pmViewDesc == this)\n            this.dom.pmViewDesc = undefined;\n        for (let i = 0; i < this.children.length; i++)\n            this.children[i].destroy();\n    }\n    posBeforeChild(child) {\n        for (let i = 0, pos = this.posAtStart;; i++) {\n            let cur = this.children[i];\n            if (cur == child)\n                return pos;\n            pos += cur.size;\n        }\n    }\n    get posBefore() {\n        return this.parent.posBeforeChild(this);\n    }\n    get posAtStart() {\n        return this.parent ? this.parent.posBeforeChild(this) + this.border : 0;\n    }\n    get posAfter() {\n        return this.posBefore + this.size;\n    }\n    get posAtEnd() {\n        return this.posAtStart + this.size - 2 * this.border;\n    }\n    localPosFromDOM(dom, offset, bias) {\n        // If the DOM position is in the content, use the child desc after\n        // it to figure out a position.\n        if (this.contentDOM && this.contentDOM.contains(dom.nodeType == 1 ? dom : dom.parentNode)) {\n            if (bias < 0) {\n                let domBefore, desc;\n                if (dom == this.contentDOM) {\n                    domBefore = dom.childNodes[offset - 1];\n                }\n                else {\n                    while (dom.parentNode != this.contentDOM)\n                        dom = dom.parentNode;\n                    domBefore = dom.previousSibling;\n                }\n                while (domBefore && !((desc = domBefore.pmViewDesc) && desc.parent == this))\n                    domBefore = domBefore.previousSibling;\n                return domBefore ? this.posBeforeChild(desc) + desc.size : this.posAtStart;\n            }\n            else {\n                let domAfter, desc;\n                if (dom == this.contentDOM) {\n                    domAfter = dom.childNodes[offset];\n                }\n                else {\n                    while (dom.parentNode != this.contentDOM)\n                        dom = dom.parentNode;\n                    domAfter = dom.nextSibling;\n                }\n                while (domAfter && !((desc = domAfter.pmViewDesc) && desc.parent == this))\n                    domAfter = domAfter.nextSibling;\n                return domAfter ? this.posBeforeChild(desc) : this.posAtEnd;\n            }\n        }\n        // Otherwise, use various heuristics, falling back on the bias\n        // parameter, to determine whether to return the position at the\n        // start or at the end of this view desc.\n        let atEnd;\n        if (dom == this.dom && this.contentDOM) {\n            atEnd = offset > domIndex(this.contentDOM);\n        }\n        else if (this.contentDOM && this.contentDOM != this.dom && this.dom.contains(this.contentDOM)) {\n            atEnd = dom.compareDocumentPosition(this.contentDOM) & 2;\n        }\n        else if (this.dom.firstChild) {\n            if (offset == 0)\n                for (let search = dom;; search = search.parentNode) {\n                    if (search == this.dom) {\n                        atEnd = false;\n                        break;\n                    }\n                    if (search.previousSibling)\n                        break;\n                }\n            if (atEnd == null && offset == dom.childNodes.length)\n                for (let search = dom;; search = search.parentNode) {\n                    if (search == this.dom) {\n                        atEnd = true;\n                        break;\n                    }\n                    if (search.nextSibling)\n                        break;\n                }\n        }\n        return (atEnd == null ? bias > 0 : atEnd) ? this.posAtEnd : this.posAtStart;\n    }\n    nearestDesc(dom, onlyNodes = false) {\n        for (let first = true, cur = dom; cur; cur = cur.parentNode) {\n            let desc = this.getDesc(cur), nodeDOM;\n            if (desc && (!onlyNodes || desc.node)) {\n                // If dom is outside of this desc's nodeDOM, don't count it.\n                if (first && (nodeDOM = desc.nodeDOM) &&\n                    !(nodeDOM.nodeType == 1 ? nodeDOM.contains(dom.nodeType == 1 ? dom : dom.parentNode) : nodeDOM == dom))\n                    first = false;\n                else\n                    return desc;\n            }\n        }\n    }\n    getDesc(dom) {\n        let desc = dom.pmViewDesc;\n        for (let cur = desc; cur; cur = cur.parent)\n            if (cur == this)\n                return desc;\n    }\n    posFromDOM(dom, offset, bias) {\n        for (let scan = dom; scan; scan = scan.parentNode) {\n            let desc = this.getDesc(scan);\n            if (desc)\n                return desc.localPosFromDOM(dom, offset, bias);\n        }\n        return -1;\n    }\n    // Find the desc for the node after the given pos, if any. (When a\n    // parent node overrode rendering, there might not be one.)\n    descAt(pos) {\n        for (let i = 0, offset = 0; i < this.children.length; i++) {\n            let child = this.children[i], end = offset + child.size;\n            if (offset == pos && end != offset) {\n                while (!child.border && child.children.length)\n                    child = child.children[0];\n                return child;\n            }\n            if (pos < end)\n                return child.descAt(pos - offset - child.border);\n            offset = end;\n        }\n    }\n    domFromPos(pos, side) {\n        if (!this.contentDOM)\n            return { node: this.dom, offset: 0, atom: pos + 1 };\n        // First find the position in the child array\n        let i = 0, offset = 0;\n        for (let curPos = 0; i < this.children.length; i++) {\n            let child = this.children[i], end = curPos + child.size;\n            if (end > pos || child instanceof TrailingHackViewDesc) {\n                offset = pos - curPos;\n                break;\n            }\n            curPos = end;\n        }\n        // If this points into the middle of a child, call through\n        if (offset)\n            return this.children[i].domFromPos(offset - this.children[i].border, side);\n        // Go back if there were any zero-length widgets with side >= 0 before this point\n        for (let prev; i && !(prev = this.children[i - 1]).size && prev instanceof WidgetViewDesc && prev.side >= 0; i--) { }\n        // Scan towards the first useable node\n        if (side <= 0) {\n            let prev, enter = true;\n            for (;; i--, enter = false) {\n                prev = i ? this.children[i - 1] : null;\n                if (!prev || prev.dom.parentNode == this.contentDOM)\n                    break;\n            }\n            if (prev && side && enter && !prev.border && !prev.domAtom)\n                return prev.domFromPos(prev.size, side);\n            return { node: this.contentDOM, offset: prev ? domIndex(prev.dom) + 1 : 0 };\n        }\n        else {\n            let next, enter = true;\n            for (;; i++, enter = false) {\n                next = i < this.children.length ? this.children[i] : null;\n                if (!next || next.dom.parentNode == this.contentDOM)\n                    break;\n            }\n            if (next && enter && !next.border && !next.domAtom)\n                return next.domFromPos(0, side);\n            return { node: this.contentDOM, offset: next ? domIndex(next.dom) : this.contentDOM.childNodes.length };\n        }\n    }\n    // Used to find a DOM range in a single parent for a given changed\n    // range.\n    parseRange(from, to, base = 0) {\n        if (this.children.length == 0)\n            return { node: this.contentDOM, from, to, fromOffset: 0, toOffset: this.contentDOM.childNodes.length };\n        let fromOffset = -1, toOffset = -1;\n        for (let offset = base, i = 0;; i++) {\n            let child = this.children[i], end = offset + child.size;\n            if (fromOffset == -1 && from <= end) {\n                let childBase = offset + child.border;\n                // FIXME maybe descend mark views to parse a narrower range?\n                if (from >= childBase && to <= end - child.border && child.node &&\n                    child.contentDOM && this.contentDOM.contains(child.contentDOM))\n                    return child.parseRange(from, to, childBase);\n                from = offset;\n                for (let j = i; j > 0; j--) {\n                    let prev = this.children[j - 1];\n                    if (prev.size && prev.dom.parentNode == this.contentDOM && !prev.emptyChildAt(1)) {\n                        fromOffset = domIndex(prev.dom) + 1;\n                        break;\n                    }\n                    from -= prev.size;\n                }\n                if (fromOffset == -1)\n                    fromOffset = 0;\n            }\n            if (fromOffset > -1 && (end > to || i == this.children.length - 1)) {\n                to = end;\n                for (let j = i + 1; j < this.children.length; j++) {\n                    let next = this.children[j];\n                    if (next.size && next.dom.parentNode == this.contentDOM && !next.emptyChildAt(-1)) {\n                        toOffset = domIndex(next.dom);\n                        break;\n                    }\n                    to += next.size;\n                }\n                if (toOffset == -1)\n                    toOffset = this.contentDOM.childNodes.length;\n                break;\n            }\n            offset = end;\n        }\n        return { node: this.contentDOM, from, to, fromOffset, toOffset };\n    }\n    emptyChildAt(side) {\n        if (this.border || !this.contentDOM || !this.children.length)\n            return false;\n        let child = this.children[side < 0 ? 0 : this.children.length - 1];\n        return child.size == 0 || child.emptyChildAt(side);\n    }\n    domAfterPos(pos) {\n        let { node, offset } = this.domFromPos(pos, 0);\n        if (node.nodeType != 1 || offset == node.childNodes.length)\n            throw new RangeError(\"No node after pos \" + pos);\n        return node.childNodes[offset];\n    }\n    // View descs are responsible for setting any selection that falls\n    // entirely inside of them, so that custom implementations can do\n    // custom things with the selection. Note that this falls apart when\n    // a selection starts in such a node and ends in another, in which\n    // case we just use whatever domFromPos produces as a best effort.\n    setSelection(anchor, head, root, force = false) {\n        // If the selection falls entirely in a child, give it to that child\n        let from = Math.min(anchor, head), to = Math.max(anchor, head);\n        for (let i = 0, offset = 0; i < this.children.length; i++) {\n            let child = this.children[i], end = offset + child.size;\n            if (from > offset && to < end)\n                return child.setSelection(anchor - offset - child.border, head - offset - child.border, root, force);\n            offset = end;\n        }\n        let anchorDOM = this.domFromPos(anchor, anchor ? -1 : 1);\n        let headDOM = head == anchor ? anchorDOM : this.domFromPos(head, head ? -1 : 1);\n        let domSel = root.getSelection();\n        let brKludge = false;\n        // On Firefox, using Selection.collapse to put the cursor after a\n        // BR node for some reason doesn't always work (#1073). On Safari,\n        // the cursor sometimes inexplicable visually lags behind its\n        // reported position in such situations (#1092).\n        if ((gecko || safari) && anchor == head) {\n            let { node, offset } = anchorDOM;\n            if (node.nodeType == 3) {\n                brKludge = !!(offset && node.nodeValue[offset - 1] == \"\\n\");\n                // Issue #1128\n                if (brKludge && offset == node.nodeValue.length) {\n                    for (let scan = node, after; scan; scan = scan.parentNode) {\n                        if (after = scan.nextSibling) {\n                            if (after.nodeName == \"BR\")\n                                anchorDOM = headDOM = { node: after.parentNode, offset: domIndex(after) + 1 };\n                            break;\n                        }\n                        let desc = scan.pmViewDesc;\n                        if (desc && desc.node && desc.node.isBlock)\n                            break;\n                    }\n                }\n            }\n            else {\n                let prev = node.childNodes[offset - 1];\n                brKludge = prev && (prev.nodeName == \"BR\" || prev.contentEditable == \"false\");\n            }\n        }\n        // Firefox can act strangely when the selection is in front of an\n        // uneditable node. See #1163 and https://bugzilla.mozilla.org/show_bug.cgi?id=1709536\n        if (gecko && domSel.focusNode && domSel.focusNode != headDOM.node && domSel.focusNode.nodeType == 1) {\n            let after = domSel.focusNode.childNodes[domSel.focusOffset];\n            if (after && after.contentEditable == \"false\")\n                force = true;\n        }\n        if (!(force || brKludge && safari) &&\n            isEquivalentPosition(anchorDOM.node, anchorDOM.offset, domSel.anchorNode, domSel.anchorOffset) &&\n            isEquivalentPosition(headDOM.node, headDOM.offset, domSel.focusNode, domSel.focusOffset))\n            return;\n        // Selection.extend can be used to create an 'inverted' selection\n        // (one where the focus is before the anchor), but not all\n        // browsers support it yet.\n        let domSelExtended = false;\n        if ((domSel.extend || anchor == head) && !brKludge) {\n            domSel.collapse(anchorDOM.node, anchorDOM.offset);\n            try {\n                if (anchor != head)\n                    domSel.extend(headDOM.node, headDOM.offset);\n                domSelExtended = true;\n            }\n            catch (_) {\n                // In some cases with Chrome the selection is empty after calling\n                // collapse, even when it should be valid. This appears to be a bug, but\n                // it is difficult to isolate. If this happens fallback to the old path\n                // without using extend.\n                // Similarly, this could crash on Safari if the editor is hidden, and\n                // there was no selection.\n            }\n        }\n        if (!domSelExtended) {\n            if (anchor > head) {\n                let tmp = anchorDOM;\n                anchorDOM = headDOM;\n                headDOM = tmp;\n            }\n            let range = document.createRange();\n            range.setEnd(headDOM.node, headDOM.offset);\n            range.setStart(anchorDOM.node, anchorDOM.offset);\n            domSel.removeAllRanges();\n            domSel.addRange(range);\n        }\n    }\n    ignoreMutation(mutation) {\n        return !this.contentDOM && mutation.type != \"selection\";\n    }\n    get contentLost() {\n        return this.contentDOM && this.contentDOM != this.dom && !this.dom.contains(this.contentDOM);\n    }\n    // Remove a subtree of the element tree that has been touched\n    // by a DOM change, so that the next update will redraw it.\n    markDirty(from, to) {\n        for (let offset = 0, i = 0; i < this.children.length; i++) {\n            let child = this.children[i], end = offset + child.size;\n            if (offset == end ? from <= end && to >= offset : from < end && to > offset) {\n                let startInside = offset + child.border, endInside = end - child.border;\n                if (from >= startInside && to <= endInside) {\n                    this.dirty = from == offset || to == end ? CONTENT_DIRTY : CHILD_DIRTY;\n                    if (from == startInside && to == endInside &&\n                        (child.contentLost || child.dom.parentNode != this.contentDOM))\n                        child.dirty = NODE_DIRTY;\n                    else\n                        child.markDirty(from - startInside, to - startInside);\n                    return;\n                }\n                else {\n                    child.dirty = child.dom == child.contentDOM && child.dom.parentNode == this.contentDOM && !child.children.length\n                        ? CONTENT_DIRTY : NODE_DIRTY;\n                }\n            }\n            offset = end;\n        }\n        this.dirty = CONTENT_DIRTY;\n    }\n    markParentsDirty() {\n        let level = 1;\n        for (let node = this.parent; node; node = node.parent, level++) {\n            let dirty = level == 1 ? CONTENT_DIRTY : CHILD_DIRTY;\n            if (node.dirty < dirty)\n                node.dirty = dirty;\n        }\n    }\n    get domAtom() { return false; }\n    get ignoreForCoords() { return false; }\n    isText(text) { return false; }\n}\n// A widget desc represents a widget decoration, which is a DOM node\n// drawn between the document nodes.\nclass WidgetViewDesc extends ViewDesc {\n    constructor(parent, widget, view, pos) {\n        let self, dom = widget.type.toDOM;\n        if (typeof dom == \"function\")\n            dom = dom(view, () => {\n                if (!self)\n                    return pos;\n                if (self.parent)\n                    return self.parent.posBeforeChild(self);\n            });\n        if (!widget.type.spec.raw) {\n            if (dom.nodeType != 1) {\n                let wrap = document.createElement(\"span\");\n                wrap.appendChild(dom);\n                dom = wrap;\n            }\n            dom.contentEditable = \"false\";\n            dom.classList.add(\"ProseMirror-widget\");\n        }\n        super(parent, [], dom, null);\n        this.widget = widget;\n        this.widget = widget;\n        self = this;\n    }\n    matchesWidget(widget) {\n        return this.dirty == NOT_DIRTY && widget.type.eq(this.widget.type);\n    }\n    parseRule() { return { ignore: true }; }\n    stopEvent(event) {\n        let stop = this.widget.spec.stopEvent;\n        return stop ? stop(event) : false;\n    }\n    ignoreMutation(mutation) {\n        return mutation.type != \"selection\" || this.widget.spec.ignoreSelection;\n    }\n    destroy() {\n        this.widget.type.destroy(this.dom);\n        super.destroy();\n    }\n    get domAtom() { return true; }\n    get side() { return this.widget.type.side; }\n}\nclass CompositionViewDesc extends ViewDesc {\n    constructor(parent, dom, textDOM, text) {\n        super(parent, [], dom, null);\n        this.textDOM = textDOM;\n        this.text = text;\n    }\n    get size() { return this.text.length; }\n    localPosFromDOM(dom, offset) {\n        if (dom != this.textDOM)\n            return this.posAtStart + (offset ? this.size : 0);\n        return this.posAtStart + offset;\n    }\n    domFromPos(pos) {\n        return { node: this.textDOM, offset: pos };\n    }\n    ignoreMutation(mut) {\n        return mut.type === 'characterData' && mut.target.nodeValue == mut.oldValue;\n    }\n}\n// A mark desc represents a mark. May have multiple children,\n// depending on how the mark is split. Note that marks are drawn using\n// a fixed nesting order, for simplicity and predictability, so in\n// some cases they will be split more often than would appear\n// necessary.\nclass MarkViewDesc extends ViewDesc {\n    constructor(parent, mark, dom, contentDOM) {\n        super(parent, [], dom, contentDOM);\n        this.mark = mark;\n    }\n    static create(parent, mark, inline, view) {\n        let custom = view.nodeViews[mark.type.name];\n        let spec = custom && custom(mark, view, inline);\n        if (!spec || !spec.dom)\n            spec = DOMSerializer.renderSpec(document, mark.type.spec.toDOM(mark, inline));\n        return new MarkViewDesc(parent, mark, spec.dom, spec.contentDOM || spec.dom);\n    }\n    parseRule() {\n        if ((this.dirty & NODE_DIRTY) || this.mark.type.spec.reparseInView)\n            return null;\n        return { mark: this.mark.type.name, attrs: this.mark.attrs, contentElement: this.contentDOM };\n    }\n    matchesMark(mark) { return this.dirty != NODE_DIRTY && this.mark.eq(mark); }\n    markDirty(from, to) {\n        super.markDirty(from, to);\n        // Move dirty info to nearest node view\n        if (this.dirty != NOT_DIRTY) {\n            let parent = this.parent;\n            while (!parent.node)\n                parent = parent.parent;\n            if (parent.dirty < this.dirty)\n                parent.dirty = this.dirty;\n            this.dirty = NOT_DIRTY;\n        }\n    }\n    slice(from, to, view) {\n        let copy = MarkViewDesc.create(this.parent, this.mark, true, view);\n        let nodes = this.children, size = this.size;\n        if (to < size)\n            nodes = replaceNodes(nodes, to, size, view);\n        if (from > 0)\n            nodes = replaceNodes(nodes, 0, from, view);\n        for (let i = 0; i < nodes.length; i++)\n            nodes[i].parent = copy;\n        copy.children = nodes;\n        return copy;\n    }\n}\n// Node view descs are the main, most common type of view desc, and\n// correspond to an actual node in the document. Unlike mark descs,\n// they populate their child array themselves.\nclass NodeViewDesc extends ViewDesc {\n    constructor(parent, node, outerDeco, innerDeco, dom, contentDOM, nodeDOM, view, pos) {\n        super(parent, [], dom, contentDOM);\n        this.node = node;\n        this.outerDeco = outerDeco;\n        this.innerDeco = innerDeco;\n        this.nodeDOM = nodeDOM;\n    }\n    // By default, a node is rendered using the `toDOM` method from the\n    // node type spec. But client code can use the `nodeViews` spec to\n    // supply a custom node view, which can influence various aspects of\n    // the way the node works.\n    //\n    // (Using subclassing for this was intentionally decided against,\n    // since it'd require exposing a whole slew of finicky\n    // implementation details to the user code that they probably will\n    // never need.)\n    static create(parent, node, outerDeco, innerDeco, view, pos) {\n        let custom = view.nodeViews[node.type.name], descObj;\n        let spec = custom && custom(node, view, () => {\n            // (This is a function that allows the custom view to find its\n            // own position)\n            if (!descObj)\n                return pos;\n            if (descObj.parent)\n                return descObj.parent.posBeforeChild(descObj);\n        }, outerDeco, innerDeco);\n        let dom = spec && spec.dom, contentDOM = spec && spec.contentDOM;\n        if (node.isText) {\n            if (!dom)\n                dom = document.createTextNode(node.text);\n            else if (dom.nodeType != 3)\n                throw new RangeError(\"Text must be rendered as a DOM text node\");\n        }\n        else if (!dom) {\n            ({ dom, contentDOM } = DOMSerializer.renderSpec(document, node.type.spec.toDOM(node)));\n        }\n        if (!contentDOM && !node.isText && dom.nodeName != \"BR\") { // Chrome gets confused by <br contenteditable=false>\n            if (!dom.hasAttribute(\"contenteditable\"))\n                dom.contentEditable = \"false\";\n            if (node.type.spec.draggable)\n                dom.draggable = true;\n        }\n        let nodeDOM = dom;\n        dom = applyOuterDeco(dom, outerDeco, node);\n        if (spec)\n            return descObj = new CustomNodeViewDesc(parent, node, outerDeco, innerDeco, dom, contentDOM || null, nodeDOM, spec, view, pos + 1);\n        else if (node.isText)\n            return new TextViewDesc(parent, node, outerDeco, innerDeco, dom, nodeDOM, view);\n        else\n            return new NodeViewDesc(parent, node, outerDeco, innerDeco, dom, contentDOM || null, nodeDOM, view, pos + 1);\n    }\n    parseRule() {\n        // Experimental kludge to allow opt-in re-parsing of nodes\n        if (this.node.type.spec.reparseInView)\n            return null;\n        // FIXME the assumption that this can always return the current\n        // attrs means that if the user somehow manages to change the\n        // attrs in the dom, that won't be picked up. Not entirely sure\n        // whether this is a problem\n        let rule = { node: this.node.type.name, attrs: this.node.attrs };\n        if (this.node.type.whitespace == \"pre\")\n            rule.preserveWhitespace = \"full\";\n        if (!this.contentDOM) {\n            rule.getContent = () => this.node.content;\n        }\n        else if (!this.contentLost) {\n            rule.contentElement = this.contentDOM;\n        }\n        else {\n            // Chrome likes to randomly recreate parent nodes when\n            // backspacing things. When that happens, this tries to find the\n            // new parent.\n            for (let i = this.children.length - 1; i >= 0; i--) {\n                let child = this.children[i];\n                if (this.dom.contains(child.dom.parentNode)) {\n                    rule.contentElement = child.dom.parentNode;\n                    break;\n                }\n            }\n            if (!rule.contentElement)\n                rule.getContent = () => Fragment.empty;\n        }\n        return rule;\n    }\n    matchesNode(node, outerDeco, innerDeco) {\n        return this.dirty == NOT_DIRTY && node.eq(this.node) &&\n            sameOuterDeco(outerDeco, this.outerDeco) && innerDeco.eq(this.innerDeco);\n    }\n    get size() { return this.node.nodeSize; }\n    get border() { return this.node.isLeaf ? 0 : 1; }\n    // Syncs `this.children` to match `this.node.content` and the local\n    // decorations, possibly introducing nesting for marks. Then, in a\n    // separate step, syncs the DOM inside `this.contentDOM` to\n    // `this.children`.\n    updateChildren(view, pos) {\n        let inline = this.node.inlineContent, off = pos;\n        let composition = view.composing ? this.localCompositionInfo(view, pos) : null;\n        let localComposition = composition && composition.pos > -1 ? composition : null;\n        let compositionInChild = composition && composition.pos < 0;\n        let updater = new ViewTreeUpdater(this, localComposition && localComposition.node, view);\n        iterDeco(this.node, this.innerDeco, (widget, i, insideNode) => {\n            if (widget.spec.marks)\n                updater.syncToMarks(widget.spec.marks, inline, view);\n            else if (widget.type.side >= 0 && !insideNode)\n                updater.syncToMarks(i == this.node.childCount ? Mark.none : this.node.child(i).marks, inline, view);\n            // If the next node is a desc matching this widget, reuse it,\n            // otherwise insert the widget as a new view desc.\n            updater.placeWidget(widget, view, off);\n        }, (child, outerDeco, innerDeco, i) => {\n            // Make sure the wrapping mark descs match the node's marks.\n            updater.syncToMarks(child.marks, inline, view);\n            // Try several strategies for drawing this node\n            let compIndex;\n            if (updater.findNodeMatch(child, outerDeco, innerDeco, i)) ;\n            else if (compositionInChild && view.state.selection.from > off &&\n                view.state.selection.to < off + child.nodeSize &&\n                (compIndex = updater.findIndexWithChild(composition.node)) > -1 &&\n                updater.updateNodeAt(child, outerDeco, innerDeco, compIndex, view)) ;\n            else if (updater.updateNextNode(child, outerDeco, innerDeco, view, i, off)) ;\n            else {\n                // Add it as a new view\n                updater.addNode(child, outerDeco, innerDeco, view, off);\n            }\n            off += child.nodeSize;\n        });\n        // Drop all remaining descs after the current position.\n        updater.syncToMarks([], inline, view);\n        if (this.node.isTextblock)\n            updater.addTextblockHacks();\n        updater.destroyRest();\n        // Sync the DOM if anything changed\n        if (updater.changed || this.dirty == CONTENT_DIRTY) {\n            // May have to protect focused DOM from being changed if a composition is active\n            if (localComposition)\n                this.protectLocalComposition(view, localComposition);\n            renderDescs(this.contentDOM, this.children, view);\n            if (ios)\n                iosHacks(this.dom);\n        }\n    }\n    localCompositionInfo(view, pos) {\n        // Only do something if both the selection and a focused text node\n        // are inside of this node\n        let { from, to } = view.state.selection;\n        if (!(view.state.selection instanceof TextSelection) || from < pos || to > pos + this.node.content.size)\n            return null;\n        let textNode = view.input.compositionNode;\n        if (!textNode || !this.dom.contains(textNode.parentNode))\n            return null;\n        if (this.node.inlineContent) {\n            // Find the text in the focused node in the node, stop if it's not\n            // there (may have been modified through other means, in which\n            // case it should overwritten)\n            let text = textNode.nodeValue;\n            let textPos = findTextInFragment(this.node.content, text, from - pos, to - pos);\n            return textPos < 0 ? null : { node: textNode, pos: textPos, text };\n        }\n        else {\n            return { node: textNode, pos: -1, text: \"\" };\n        }\n    }\n    protectLocalComposition(view, { node, pos, text }) {\n        // The node is already part of a local view desc, leave it there\n        if (this.getDesc(node))\n            return;\n        // Create a composition view for the orphaned nodes\n        let topNode = node;\n        for (;; topNode = topNode.parentNode) {\n            if (topNode.parentNode == this.contentDOM)\n                break;\n            while (topNode.previousSibling)\n                topNode.parentNode.removeChild(topNode.previousSibling);\n            while (topNode.nextSibling)\n                topNode.parentNode.removeChild(topNode.nextSibling);\n            if (topNode.pmViewDesc)\n                topNode.pmViewDesc = undefined;\n        }\n        let desc = new CompositionViewDesc(this, topNode, node, text);\n        view.input.compositionNodes.push(desc);\n        // Patch up this.children to contain the composition view\n        this.children = replaceNodes(this.children, pos, pos + text.length, view, desc);\n    }\n    // If this desc must be updated to match the given node decoration,\n    // do so and return true.\n    update(node, outerDeco, innerDeco, view) {\n        if (this.dirty == NODE_DIRTY ||\n            !node.sameMarkup(this.node))\n            return false;\n        this.updateInner(node, outerDeco, innerDeco, view);\n        return true;\n    }\n    updateInner(node, outerDeco, innerDeco, view) {\n        this.updateOuterDeco(outerDeco);\n        this.node = node;\n        this.innerDeco = innerDeco;\n        if (this.contentDOM)\n            this.updateChildren(view, this.posAtStart);\n        this.dirty = NOT_DIRTY;\n    }\n    updateOuterDeco(outerDeco) {\n        if (sameOuterDeco(outerDeco, this.outerDeco))\n            return;\n        let needsWrap = this.nodeDOM.nodeType != 1;\n        let oldDOM = this.dom;\n        this.dom = patchOuterDeco(this.dom, this.nodeDOM, computeOuterDeco(this.outerDeco, this.node, needsWrap), computeOuterDeco(outerDeco, this.node, needsWrap));\n        if (this.dom != oldDOM) {\n            oldDOM.pmViewDesc = undefined;\n            this.dom.pmViewDesc = this;\n        }\n        this.outerDeco = outerDeco;\n    }\n    // Mark this node as being the selected node.\n    selectNode() {\n        if (this.nodeDOM.nodeType == 1)\n            this.nodeDOM.classList.add(\"ProseMirror-selectednode\");\n        if (this.contentDOM || !this.node.type.spec.draggable)\n            this.dom.draggable = true;\n    }\n    // Remove selected node marking from this node.\n    deselectNode() {\n        if (this.nodeDOM.nodeType == 1)\n            this.nodeDOM.classList.remove(\"ProseMirror-selectednode\");\n        if (this.contentDOM || !this.node.type.spec.draggable)\n            this.dom.removeAttribute(\"draggable\");\n    }\n    get domAtom() { return this.node.isAtom; }\n}\n// Create a view desc for the top-level document node, to be exported\n// and used by the view class.\nfunction docViewDesc(doc, outerDeco, innerDeco, dom, view) {\n    applyOuterDeco(dom, outerDeco, doc);\n    let docView = new NodeViewDesc(undefined, doc, outerDeco, innerDeco, dom, dom, dom, view, 0);\n    if (docView.contentDOM)\n        docView.updateChildren(view, 0);\n    return docView;\n}\nclass TextViewDesc extends NodeViewDesc {\n    constructor(parent, node, outerDeco, innerDeco, dom, nodeDOM, view) {\n        super(parent, node, outerDeco, innerDeco, dom, null, nodeDOM, view, 0);\n    }\n    parseRule() {\n        let skip = this.nodeDOM.parentNode;\n        while (skip && skip != this.dom && !skip.pmIsDeco)\n            skip = skip.parentNode;\n        return { skip: (skip || true) };\n    }\n    update(node, outerDeco, innerDeco, view) {\n        if (this.dirty == NODE_DIRTY || (this.dirty != NOT_DIRTY && !this.inParent()) ||\n            !node.sameMarkup(this.node))\n            return false;\n        this.updateOuterDeco(outerDeco);\n        if ((this.dirty != NOT_DIRTY || node.text != this.node.text) && node.text != this.nodeDOM.nodeValue) {\n            this.nodeDOM.nodeValue = node.text;\n            if (view.trackWrites == this.nodeDOM)\n                view.trackWrites = null;\n        }\n        this.node = node;\n        this.dirty = NOT_DIRTY;\n        return true;\n    }\n    inParent() {\n        let parentDOM = this.parent.contentDOM;\n        for (let n = this.nodeDOM; n; n = n.parentNode)\n            if (n == parentDOM)\n                return true;\n        return false;\n    }\n    domFromPos(pos) {\n        return { node: this.nodeDOM, offset: pos };\n    }\n    localPosFromDOM(dom, offset, bias) {\n        if (dom == this.nodeDOM)\n            return this.posAtStart + Math.min(offset, this.node.text.length);\n        return super.localPosFromDOM(dom, offset, bias);\n    }\n    ignoreMutation(mutation) {\n        return mutation.type != \"characterData\" && mutation.type != \"selection\";\n    }\n    slice(from, to, view) {\n        let node = this.node.cut(from, to), dom = document.createTextNode(node.text);\n        return new TextViewDesc(this.parent, node, this.outerDeco, this.innerDeco, dom, dom, view);\n    }\n    markDirty(from, to) {\n        super.markDirty(from, to);\n        if (this.dom != this.nodeDOM && (from == 0 || to == this.nodeDOM.nodeValue.length))\n            this.dirty = NODE_DIRTY;\n    }\n    get domAtom() { return false; }\n    isText(text) { return this.node.text == text; }\n}\n// A dummy desc used to tag trailing BR or IMG nodes created to work\n// around contentEditable terribleness.\nclass TrailingHackViewDesc extends ViewDesc {\n    parseRule() { return { ignore: true }; }\n    matchesHack(nodeName) { return this.dirty == NOT_DIRTY && this.dom.nodeName == nodeName; }\n    get domAtom() { return true; }\n    get ignoreForCoords() { return this.dom.nodeName == \"IMG\"; }\n}\n// A separate subclass is used for customized node views, so that the\n// extra checks only have to be made for nodes that are actually\n// customized.\nclass CustomNodeViewDesc extends NodeViewDesc {\n    constructor(parent, node, outerDeco, innerDeco, dom, contentDOM, nodeDOM, spec, view, pos) {\n        super(parent, node, outerDeco, innerDeco, dom, contentDOM, nodeDOM, view, pos);\n        this.spec = spec;\n    }\n    // A custom `update` method gets to decide whether the update goes\n    // through. If it does, and there's a `contentDOM` node, our logic\n    // updates the children.\n    update(node, outerDeco, innerDeco, view) {\n        if (this.dirty == NODE_DIRTY)\n            return false;\n        if (this.spec.update) {\n            let result = this.spec.update(node, outerDeco, innerDeco);\n            if (result)\n                this.updateInner(node, outerDeco, innerDeco, view);\n            return result;\n        }\n        else if (!this.contentDOM && !node.isLeaf) {\n            return false;\n        }\n        else {\n            return super.update(node, outerDeco, innerDeco, view);\n        }\n    }\n    selectNode() {\n        this.spec.selectNode ? this.spec.selectNode() : super.selectNode();\n    }\n    deselectNode() {\n        this.spec.deselectNode ? this.spec.deselectNode() : super.deselectNode();\n    }\n    setSelection(anchor, head, root, force) {\n        this.spec.setSelection ? this.spec.setSelection(anchor, head, root)\n            : super.setSelection(anchor, head, root, force);\n    }\n    destroy() {\n        if (this.spec.destroy)\n            this.spec.destroy();\n        super.destroy();\n    }\n    stopEvent(event) {\n        return this.spec.stopEvent ? this.spec.stopEvent(event) : false;\n    }\n    ignoreMutation(mutation) {\n        return this.spec.ignoreMutation ? this.spec.ignoreMutation(mutation) : super.ignoreMutation(mutation);\n    }\n}\n// Sync the content of the given DOM node with the nodes associated\n// with the given array of view descs, recursing into mark descs\n// because this should sync the subtree for a whole node at a time.\nfunction renderDescs(parentDOM, descs, view) {\n    let dom = parentDOM.firstChild, written = false;\n    for (let i = 0; i < descs.length; i++) {\n        let desc = descs[i], childDOM = desc.dom;\n        if (childDOM.parentNode == parentDOM) {\n            while (childDOM != dom) {\n                dom = rm(dom);\n                written = true;\n            }\n            dom = dom.nextSibling;\n        }\n        else {\n            written = true;\n            parentDOM.insertBefore(childDOM, dom);\n        }\n        if (desc instanceof MarkViewDesc) {\n            let pos = dom ? dom.previousSibling : parentDOM.lastChild;\n            renderDescs(desc.contentDOM, desc.children, view);\n            dom = pos ? pos.nextSibling : parentDOM.firstChild;\n        }\n    }\n    while (dom) {\n        dom = rm(dom);\n        written = true;\n    }\n    if (written && view.trackWrites == parentDOM)\n        view.trackWrites = null;\n}\nconst OuterDecoLevel = function (nodeName) {\n    if (nodeName)\n        this.nodeName = nodeName;\n};\nOuterDecoLevel.prototype = Object.create(null);\nconst noDeco = [new OuterDecoLevel];\nfunction computeOuterDeco(outerDeco, node, needsWrap) {\n    if (outerDeco.length == 0)\n        return noDeco;\n    let top = needsWrap ? noDeco[0] : new OuterDecoLevel, result = [top];\n    for (let i = 0; i < outerDeco.length; i++) {\n        let attrs = outerDeco[i].type.attrs;\n        if (!attrs)\n            continue;\n        if (attrs.nodeName)\n            result.push(top = new OuterDecoLevel(attrs.nodeName));\n        for (let name in attrs) {\n            let val = attrs[name];\n            if (val == null)\n                continue;\n            if (needsWrap && result.length == 1)\n                result.push(top = new OuterDecoLevel(node.isInline ? \"span\" : \"div\"));\n            if (name == \"class\")\n                top.class = (top.class ? top.class + \" \" : \"\") + val;\n            else if (name == \"style\")\n                top.style = (top.style ? top.style + \";\" : \"\") + val;\n            else if (name != \"nodeName\")\n                top[name] = val;\n        }\n    }\n    return result;\n}\nfunction patchOuterDeco(outerDOM, nodeDOM, prevComputed, curComputed) {\n    // Shortcut for trivial case\n    if (prevComputed == noDeco && curComputed == noDeco)\n        return nodeDOM;\n    let curDOM = nodeDOM;\n    for (let i = 0; i < curComputed.length; i++) {\n        let deco = curComputed[i], prev = prevComputed[i];\n        if (i) {\n            let parent;\n            if (prev && prev.nodeName == deco.nodeName && curDOM != outerDOM &&\n                (parent = curDOM.parentNode) && parent.nodeName.toLowerCase() == deco.nodeName) {\n                curDOM = parent;\n            }\n            else {\n                parent = document.createElement(deco.nodeName);\n                parent.pmIsDeco = true;\n                parent.appendChild(curDOM);\n                prev = noDeco[0];\n                curDOM = parent;\n            }\n        }\n        patchAttributes(curDOM, prev || noDeco[0], deco);\n    }\n    return curDOM;\n}\nfunction patchAttributes(dom, prev, cur) {\n    for (let name in prev)\n        if (name != \"class\" && name != \"style\" && name != \"nodeName\" && !(name in cur))\n            dom.removeAttribute(name);\n    for (let name in cur)\n        if (name != \"class\" && name != \"style\" && name != \"nodeName\" && cur[name] != prev[name])\n            dom.setAttribute(name, cur[name]);\n    if (prev.class != cur.class) {\n        let prevList = prev.class ? prev.class.split(\" \").filter(Boolean) : [];\n        let curList = cur.class ? cur.class.split(\" \").filter(Boolean) : [];\n        for (let i = 0; i < prevList.length; i++)\n            if (curList.indexOf(prevList[i]) == -1)\n                dom.classList.remove(prevList[i]);\n        for (let i = 0; i < curList.length; i++)\n            if (prevList.indexOf(curList[i]) == -1)\n                dom.classList.add(curList[i]);\n        if (dom.classList.length == 0)\n            dom.removeAttribute(\"class\");\n    }\n    if (prev.style != cur.style) {\n        if (prev.style) {\n            let prop = /\\s*([\\w\\-\\xa1-\\uffff]+)\\s*:(?:\"(?:\\\\.|[^\"])*\"|'(?:\\\\.|[^'])*'|\\(.*?\\)|[^;])*/g, m;\n            while (m = prop.exec(prev.style))\n                dom.style.removeProperty(m[1]);\n        }\n        if (cur.style)\n            dom.style.cssText += cur.style;\n    }\n}\nfunction applyOuterDeco(dom, deco, node) {\n    return patchOuterDeco(dom, dom, noDeco, computeOuterDeco(deco, node, dom.nodeType != 1));\n}\nfunction sameOuterDeco(a, b) {\n    if (a.length != b.length)\n        return false;\n    for (let i = 0; i < a.length; i++)\n        if (!a[i].type.eq(b[i].type))\n            return false;\n    return true;\n}\n// Remove a DOM node and return its next sibling.\nfunction rm(dom) {\n    let next = dom.nextSibling;\n    dom.parentNode.removeChild(dom);\n    return next;\n}\n// Helper class for incrementally updating a tree of mark descs and\n// the widget and node descs inside of them.\nclass ViewTreeUpdater {\n    constructor(top, lock, view) {\n        this.lock = lock;\n        this.view = view;\n        // Index into `this.top`'s child array, represents the current\n        // update position.\n        this.index = 0;\n        // When entering a mark, the current top and index are pushed\n        // onto this.\n        this.stack = [];\n        // Tracks whether anything was changed\n        this.changed = false;\n        this.top = top;\n        this.preMatch = preMatch(top.node.content, top);\n    }\n    // Destroy and remove the children between the given indices in\n    // `this.top`.\n    destroyBetween(start, end) {\n        if (start == end)\n            return;\n        for (let i = start; i < end; i++)\n            this.top.children[i].destroy();\n        this.top.children.splice(start, end - start);\n        this.changed = true;\n    }\n    // Destroy all remaining children in `this.top`.\n    destroyRest() {\n        this.destroyBetween(this.index, this.top.children.length);\n    }\n    // Sync the current stack of mark descs with the given array of\n    // marks, reusing existing mark descs when possible.\n    syncToMarks(marks, inline, view) {\n        let keep = 0, depth = this.stack.length >> 1;\n        let maxKeep = Math.min(depth, marks.length);\n        while (keep < maxKeep &&\n            (keep == depth - 1 ? this.top : this.stack[(keep + 1) << 1])\n                .matchesMark(marks[keep]) && marks[keep].type.spec.spanning !== false)\n            keep++;\n        while (keep < depth) {\n            this.destroyRest();\n            this.top.dirty = NOT_DIRTY;\n            this.index = this.stack.pop();\n            this.top = this.stack.pop();\n            depth--;\n        }\n        while (depth < marks.length) {\n            this.stack.push(this.top, this.index + 1);\n            let found = -1;\n            for (let i = this.index; i < Math.min(this.index + 3, this.top.children.length); i++) {\n                let next = this.top.children[i];\n                if (next.matchesMark(marks[depth]) && !this.isLocked(next.dom)) {\n                    found = i;\n                    break;\n                }\n            }\n            if (found > -1) {\n                if (found > this.index) {\n                    this.changed = true;\n                    this.destroyBetween(this.index, found);\n                }\n                this.top = this.top.children[this.index];\n            }\n            else {\n                let markDesc = MarkViewDesc.create(this.top, marks[depth], inline, view);\n                this.top.children.splice(this.index, 0, markDesc);\n                this.top = markDesc;\n                this.changed = true;\n            }\n            this.index = 0;\n            depth++;\n        }\n    }\n    // Try to find a node desc matching the given data. Skip over it and\n    // return true when successful.\n    findNodeMatch(node, outerDeco, innerDeco, index) {\n        let found = -1, targetDesc;\n        if (index >= this.preMatch.index &&\n            (targetDesc = this.preMatch.matches[index - this.preMatch.index]).parent == this.top &&\n            targetDesc.matchesNode(node, outerDeco, innerDeco)) {\n            found = this.top.children.indexOf(targetDesc, this.index);\n        }\n        else {\n            for (let i = this.index, e = Math.min(this.top.children.length, i + 5); i < e; i++) {\n                let child = this.top.children[i];\n                if (child.matchesNode(node, outerDeco, innerDeco) && !this.preMatch.matched.has(child)) {\n                    found = i;\n                    break;\n                }\n            }\n        }\n        if (found < 0)\n            return false;\n        this.destroyBetween(this.index, found);\n        this.index++;\n        return true;\n    }\n    updateNodeAt(node, outerDeco, innerDeco, index, view) {\n        let child = this.top.children[index];\n        if (child.dirty == NODE_DIRTY && child.dom == child.contentDOM)\n            child.dirty = CONTENT_DIRTY;\n        if (!child.update(node, outerDeco, innerDeco, view))\n            return false;\n        this.destroyBetween(this.index, index);\n        this.index++;\n        return true;\n    }\n    findIndexWithChild(domNode) {\n        for (;;) {\n            let parent = domNode.parentNode;\n            if (!parent)\n                return -1;\n            if (parent == this.top.contentDOM) {\n                let desc = domNode.pmViewDesc;\n                if (desc)\n                    for (let i = this.index; i < this.top.children.length; i++) {\n                        if (this.top.children[i] == desc)\n                            return i;\n                    }\n                return -1;\n            }\n            domNode = parent;\n        }\n    }\n    // Try to update the next node, if any, to the given data. Checks\n    // pre-matches to avoid overwriting nodes that could still be used.\n    updateNextNode(node, outerDeco, innerDeco, view, index, pos) {\n        for (let i = this.index; i < this.top.children.length; i++) {\n            let next = this.top.children[i];\n            if (next instanceof NodeViewDesc) {\n                let preMatch = this.preMatch.matched.get(next);\n                if (preMatch != null && preMatch != index)\n                    return false;\n                let nextDOM = next.dom, updated;\n                // Can't update if nextDOM is or contains this.lock, except if\n                // it's a text node whose content already matches the new text\n                // and whose decorations match the new ones.\n                let locked = this.isLocked(nextDOM) &&\n                    !(node.isText && next.node && next.node.isText && next.nodeDOM.nodeValue == node.text &&\n                        next.dirty != NODE_DIRTY && sameOuterDeco(outerDeco, next.outerDeco));\n                if (!locked && next.update(node, outerDeco, innerDeco, view)) {\n                    this.destroyBetween(this.index, i);\n                    if (next.dom != nextDOM)\n                        this.changed = true;\n                    this.index++;\n                    return true;\n                }\n                else if (!locked && (updated = this.recreateWrapper(next, node, outerDeco, innerDeco, view, pos))) {\n                    this.top.children[this.index] = updated;\n                    if (updated.contentDOM) {\n                        updated.dirty = CONTENT_DIRTY;\n                        updated.updateChildren(view, pos + 1);\n                        updated.dirty = NOT_DIRTY;\n                    }\n                    this.changed = true;\n                    this.index++;\n                    return true;\n                }\n                break;\n            }\n        }\n        return false;\n    }\n    // When a node with content is replaced by a different node with\n    // identical content, move over its children.\n    recreateWrapper(next, node, outerDeco, innerDeco, view, pos) {\n        if (next.dirty || node.isAtom || !next.children.length ||\n            !next.node.content.eq(node.content))\n            return null;\n        let wrapper = NodeViewDesc.create(this.top, node, outerDeco, innerDeco, view, pos);\n        if (wrapper.contentDOM) {\n            wrapper.children = next.children;\n            next.children = [];\n            for (let ch of wrapper.children)\n                ch.parent = wrapper;\n        }\n        next.destroy();\n        return wrapper;\n    }\n    // Insert the node as a newly created node desc.\n    addNode(node, outerDeco, innerDeco, view, pos) {\n        let desc = NodeViewDesc.create(this.top, node, outerDeco, innerDeco, view, pos);\n        if (desc.contentDOM)\n            desc.updateChildren(view, pos + 1);\n        this.top.children.splice(this.index++, 0, desc);\n        this.changed = true;\n    }\n    placeWidget(widget, view, pos) {\n        let next = this.index < this.top.children.length ? this.top.children[this.index] : null;\n        if (next && next.matchesWidget(widget) &&\n            (widget == next.widget || !next.widget.type.toDOM.parentNode)) {\n            this.index++;\n        }\n        else {\n            let desc = new WidgetViewDesc(this.top, widget, view, pos);\n            this.top.children.splice(this.index++, 0, desc);\n            this.changed = true;\n        }\n    }\n    // Make sure a textblock looks and behaves correctly in\n    // contentEditable.\n    addTextblockHacks() {\n        let lastChild = this.top.children[this.index - 1], parent = this.top;\n        while (lastChild instanceof MarkViewDesc) {\n            parent = lastChild;\n            lastChild = parent.children[parent.children.length - 1];\n        }\n        if (!lastChild || // Empty textblock\n            !(lastChild instanceof TextViewDesc) ||\n            /\\n$/.test(lastChild.node.text) ||\n            (this.view.requiresGeckoHackNode && /\\s$/.test(lastChild.node.text))) {\n            // Avoid bugs in Safari's cursor drawing (#1165) and Chrome's mouse selection (#1152)\n            if ((safari || chrome) && lastChild && lastChild.dom.contentEditable == \"false\")\n                this.addHackNode(\"IMG\", parent);\n            this.addHackNode(\"BR\", this.top);\n        }\n    }\n    addHackNode(nodeName, parent) {\n        if (parent == this.top && this.index < parent.children.length && parent.children[this.index].matchesHack(nodeName)) {\n            this.index++;\n        }\n        else {\n            let dom = document.createElement(nodeName);\n            if (nodeName == \"IMG\") {\n                dom.className = \"ProseMirror-separator\";\n                dom.alt = \"\";\n            }\n            if (nodeName == \"BR\")\n                dom.className = \"ProseMirror-trailingBreak\";\n            let hack = new TrailingHackViewDesc(this.top, [], dom, null);\n            if (parent != this.top)\n                parent.children.push(hack);\n            else\n                parent.children.splice(this.index++, 0, hack);\n            this.changed = true;\n        }\n    }\n    isLocked(node) {\n        return this.lock && (node == this.lock || node.nodeType == 1 && node.contains(this.lock.parentNode));\n    }\n}\n// Iterate from the end of the fragment and array of descs to find\n// directly matching ones, in order to avoid overeagerly reusing those\n// for other nodes. Returns the fragment index of the first node that\n// is part of the sequence of matched nodes at the end of the\n// fragment.\nfunction preMatch(frag, parentDesc) {\n    let curDesc = parentDesc, descI = curDesc.children.length;\n    let fI = frag.childCount, matched = new Map, matches = [];\n    outer: while (fI > 0) {\n        let desc;\n        for (;;) {\n            if (descI) {\n                let next = curDesc.children[descI - 1];\n                if (next instanceof MarkViewDesc) {\n                    curDesc = next;\n                    descI = next.children.length;\n                }\n                else {\n                    desc = next;\n                    descI--;\n                    break;\n                }\n            }\n            else if (curDesc == parentDesc) {\n                break outer;\n            }\n            else {\n                // FIXME\n                descI = curDesc.parent.children.indexOf(curDesc);\n                curDesc = curDesc.parent;\n            }\n        }\n        let node = desc.node;\n        if (!node)\n            continue;\n        if (node != frag.child(fI - 1))\n            break;\n        --fI;\n        matched.set(desc, fI);\n        matches.push(desc);\n    }\n    return { index: fI, matched, matches: matches.reverse() };\n}\nfunction compareSide(a, b) {\n    return a.type.side - b.type.side;\n}\n// This function abstracts iterating over the nodes and decorations in\n// a fragment. Calls `onNode` for each node, with its local and child\n// decorations. Splits text nodes when there is a decoration starting\n// or ending inside of them. Calls `onWidget` for each widget.\nfunction iterDeco(parent, deco, onWidget, onNode) {\n    let locals = deco.locals(parent), offset = 0;\n    // Simple, cheap variant for when there are no local decorations\n    if (locals.length == 0) {\n        for (let i = 0; i < parent.childCount; i++) {\n            let child = parent.child(i);\n            onNode(child, locals, deco.forChild(offset, child), i);\n            offset += child.nodeSize;\n        }\n        return;\n    }\n    let decoIndex = 0, active = [], restNode = null;\n    for (let parentIndex = 0;;) {\n        let widget, widgets;\n        while (decoIndex < locals.length && locals[decoIndex].to == offset) {\n            let next = locals[decoIndex++];\n            if (next.widget) {\n                if (!widget)\n                    widget = next;\n                else\n                    (widgets || (widgets = [widget])).push(next);\n            }\n        }\n        if (widget) {\n            if (widgets) {\n                widgets.sort(compareSide);\n                for (let i = 0; i < widgets.length; i++)\n                    onWidget(widgets[i], parentIndex, !!restNode);\n            }\n            else {\n                onWidget(widget, parentIndex, !!restNode);\n            }\n        }\n        let child, index;\n        if (restNode) {\n            index = -1;\n            child = restNode;\n            restNode = null;\n        }\n        else if (parentIndex < parent.childCount) {\n            index = parentIndex;\n            child = parent.child(parentIndex++);\n        }\n        else {\n            break;\n        }\n        for (let i = 0; i < active.length; i++)\n            if (active[i].to <= offset)\n                active.splice(i--, 1);\n        while (decoIndex < locals.length && locals[decoIndex].from <= offset && locals[decoIndex].to > offset)\n            active.push(locals[decoIndex++]);\n        let end = offset + child.nodeSize;\n        if (child.isText) {\n            let cutAt = end;\n            if (decoIndex < locals.length && locals[decoIndex].from < cutAt)\n                cutAt = locals[decoIndex].from;\n            for (let i = 0; i < active.length; i++)\n                if (active[i].to < cutAt)\n                    cutAt = active[i].to;\n            if (cutAt < end) {\n                restNode = child.cut(cutAt - offset);\n                child = child.cut(0, cutAt - offset);\n                end = cutAt;\n                index = -1;\n            }\n        }\n        else {\n            while (decoIndex < locals.length && locals[decoIndex].to < end)\n                decoIndex++;\n        }\n        let outerDeco = child.isInline && !child.isLeaf ? active.filter(d => !d.inline) : active.slice();\n        onNode(child, outerDeco, deco.forChild(offset, child), index);\n        offset = end;\n    }\n}\n// List markers in Mobile Safari will mysteriously disappear\n// sometimes. This works around that.\nfunction iosHacks(dom) {\n    if (dom.nodeName == \"UL\" || dom.nodeName == \"OL\") {\n        let oldCSS = dom.style.cssText;\n        dom.style.cssText = oldCSS + \"; list-style: square !important\";\n        window.getComputedStyle(dom).listStyle;\n        dom.style.cssText = oldCSS;\n    }\n}\n// Find a piece of text in an inline fragment, overlapping from-to\nfunction findTextInFragment(frag, text, from, to) {\n    for (let i = 0, pos = 0; i < frag.childCount && pos <= to;) {\n        let child = frag.child(i++), childStart = pos;\n        pos += child.nodeSize;\n        if (!child.isText)\n            continue;\n        let str = child.text;\n        while (i < frag.childCount) {\n            let next = frag.child(i++);\n            pos += next.nodeSize;\n            if (!next.isText)\n                break;\n            str += next.text;\n        }\n        if (pos >= from) {\n            if (pos >= to && str.slice(to - text.length - childStart, to - childStart) == text)\n                return to - text.length;\n            let found = childStart < to ? str.lastIndexOf(text, to - childStart - 1) : -1;\n            if (found >= 0 && found + text.length + childStart >= from)\n                return childStart + found;\n            if (from == to && str.length >= (to + text.length) - childStart &&\n                str.slice(to - childStart, to - childStart + text.length) == text)\n                return to;\n        }\n    }\n    return -1;\n}\n// Replace range from-to in an array of view descs with replacement\n// (may be null to just delete). This goes very much against the grain\n// of the rest of this code, which tends to create nodes with the\n// right shape in one go, rather than messing with them after\n// creation, but is necessary in the composition hack.\nfunction replaceNodes(nodes, from, to, view, replacement) {\n    let result = [];\n    for (let i = 0, off = 0; i < nodes.length; i++) {\n        let child = nodes[i], start = off, end = off += child.size;\n        if (start >= to || end <= from) {\n            result.push(child);\n        }\n        else {\n            if (start < from)\n                result.push(child.slice(0, from - start, view));\n            if (replacement) {\n                result.push(replacement);\n                replacement = undefined;\n            }\n            if (end > to)\n                result.push(child.slice(to - start, child.size, view));\n        }\n    }\n    return result;\n}\n\nfunction selectionFromDOM(view, origin = null) {\n    let domSel = view.domSelectionRange(), doc = view.state.doc;\n    if (!domSel.focusNode)\n        return null;\n    let nearestDesc = view.docView.nearestDesc(domSel.focusNode), inWidget = nearestDesc && nearestDesc.size == 0;\n    let head = view.docView.posFromDOM(domSel.focusNode, domSel.focusOffset, 1);\n    if (head < 0)\n        return null;\n    let $head = doc.resolve(head), $anchor, selection;\n    if (selectionCollapsed(domSel)) {\n        $anchor = $head;\n        while (nearestDesc && !nearestDesc.node)\n            nearestDesc = nearestDesc.parent;\n        let nearestDescNode = nearestDesc.node;\n        if (nearestDesc && nearestDescNode.isAtom && NodeSelection.isSelectable(nearestDescNode) && nearestDesc.parent\n            && !(nearestDescNode.isInline && isOnEdge(domSel.focusNode, domSel.focusOffset, nearestDesc.dom))) {\n            let pos = nearestDesc.posBefore;\n            selection = new NodeSelection(head == pos ? $head : doc.resolve(pos));\n        }\n    }\n    else {\n        let anchor = view.docView.posFromDOM(domSel.anchorNode, domSel.anchorOffset, 1);\n        if (anchor < 0)\n            return null;\n        $anchor = doc.resolve(anchor);\n    }\n    if (!selection) {\n        let bias = origin == \"pointer\" || (view.state.selection.head < $head.pos && !inWidget) ? 1 : -1;\n        selection = selectionBetween(view, $anchor, $head, bias);\n    }\n    return selection;\n}\nfunction editorOwnsSelection(view) {\n    return view.editable ? view.hasFocus() :\n        hasSelection(view) && document.activeElement && document.activeElement.contains(view.dom);\n}\nfunction selectionToDOM(view, force = false) {\n    let sel = view.state.selection;\n    syncNodeSelection(view, sel);\n    if (!editorOwnsSelection(view))\n        return;\n    // The delayed drag selection causes issues with Cell Selections\n    // in Safari. And the drag selection delay is to workarond issues\n    // which only present in Chrome.\n    if (!force && view.input.mouseDown && view.input.mouseDown.allowDefault && chrome) {\n        let domSel = view.domSelectionRange(), curSel = view.domObserver.currentSelection;\n        if (domSel.anchorNode && curSel.anchorNode &&\n            isEquivalentPosition(domSel.anchorNode, domSel.anchorOffset, curSel.anchorNode, curSel.anchorOffset)) {\n            view.input.mouseDown.delayedSelectionSync = true;\n            view.domObserver.setCurSelection();\n            return;\n        }\n    }\n    view.domObserver.disconnectSelection();\n    if (view.cursorWrapper) {\n        selectCursorWrapper(view);\n    }\n    else {\n        let { anchor, head } = sel, resetEditableFrom, resetEditableTo;\n        if (brokenSelectBetweenUneditable && !(sel instanceof TextSelection)) {\n            if (!sel.$from.parent.inlineContent)\n                resetEditableFrom = temporarilyEditableNear(view, sel.from);\n            if (!sel.empty && !sel.$from.parent.inlineContent)\n                resetEditableTo = temporarilyEditableNear(view, sel.to);\n        }\n        view.docView.setSelection(anchor, head, view.root, force);\n        if (brokenSelectBetweenUneditable) {\n            if (resetEditableFrom)\n                resetEditable(resetEditableFrom);\n            if (resetEditableTo)\n                resetEditable(resetEditableTo);\n        }\n        if (sel.visible) {\n            view.dom.classList.remove(\"ProseMirror-hideselection\");\n        }\n        else {\n            view.dom.classList.add(\"ProseMirror-hideselection\");\n            if (\"onselectionchange\" in document)\n                removeClassOnSelectionChange(view);\n        }\n    }\n    view.domObserver.setCurSelection();\n    view.domObserver.connectSelection();\n}\n// Kludge to work around Webkit not allowing a selection to start/end\n// between non-editable block nodes. We briefly make something\n// editable, set the selection, then set it uneditable again.\nconst brokenSelectBetweenUneditable = safari || chrome && chrome_version < 63;\nfunction temporarilyEditableNear(view, pos) {\n    let { node, offset } = view.docView.domFromPos(pos, 0);\n    let after = offset < node.childNodes.length ? node.childNodes[offset] : null;\n    let before = offset ? node.childNodes[offset - 1] : null;\n    if (safari && after && after.contentEditable == \"false\")\n        return setEditable(after);\n    if ((!after || after.contentEditable == \"false\") &&\n        (!before || before.contentEditable == \"false\")) {\n        if (after)\n            return setEditable(after);\n        else if (before)\n            return setEditable(before);\n    }\n}\nfunction setEditable(element) {\n    element.contentEditable = \"true\";\n    if (safari && element.draggable) {\n        element.draggable = false;\n        element.wasDraggable = true;\n    }\n    return element;\n}\nfunction resetEditable(element) {\n    element.contentEditable = \"false\";\n    if (element.wasDraggable) {\n        element.draggable = true;\n        element.wasDraggable = null;\n    }\n}\nfunction removeClassOnSelectionChange(view) {\n    let doc = view.dom.ownerDocument;\n    doc.removeEventListener(\"selectionchange\", view.input.hideSelectionGuard);\n    let domSel = view.domSelectionRange();\n    let node = domSel.anchorNode, offset = domSel.anchorOffset;\n    doc.addEventListener(\"selectionchange\", view.input.hideSelectionGuard = () => {\n        if (domSel.anchorNode != node || domSel.anchorOffset != offset) {\n            doc.removeEventListener(\"selectionchange\", view.input.hideSelectionGuard);\n            setTimeout(() => {\n                if (!editorOwnsSelection(view) || view.state.selection.visible)\n                    view.dom.classList.remove(\"ProseMirror-hideselection\");\n            }, 20);\n        }\n    });\n}\nfunction selectCursorWrapper(view) {\n    let domSel = view.domSelection(), range = document.createRange();\n    let node = view.cursorWrapper.dom, img = node.nodeName == \"IMG\";\n    if (img)\n        range.setEnd(node.parentNode, domIndex(node) + 1);\n    else\n        range.setEnd(node, 0);\n    range.collapse(false);\n    domSel.removeAllRanges();\n    domSel.addRange(range);\n    // Kludge to kill 'control selection' in IE11 when selecting an\n    // invisible cursor wrapper, since that would result in those weird\n    // resize handles and a selection that considers the absolutely\n    // positioned wrapper, rather than the root editable node, the\n    // focused element.\n    if (!img && !view.state.selection.visible && ie && ie_version <= 11) {\n        node.disabled = true;\n        node.disabled = false;\n    }\n}\nfunction syncNodeSelection(view, sel) {\n    if (sel instanceof NodeSelection) {\n        let desc = view.docView.descAt(sel.from);\n        if (desc != view.lastSelectedViewDesc) {\n            clearNodeSelection(view);\n            if (desc)\n                desc.selectNode();\n            view.lastSelectedViewDesc = desc;\n        }\n    }\n    else {\n        clearNodeSelection(view);\n    }\n}\n// Clear all DOM statefulness of the last node selection.\nfunction clearNodeSelection(view) {\n    if (view.lastSelectedViewDesc) {\n        if (view.lastSelectedViewDesc.parent)\n            view.lastSelectedViewDesc.deselectNode();\n        view.lastSelectedViewDesc = undefined;\n    }\n}\nfunction selectionBetween(view, $anchor, $head, bias) {\n    return view.someProp(\"createSelectionBetween\", f => f(view, $anchor, $head))\n        || TextSelection.between($anchor, $head, bias);\n}\nfunction hasFocusAndSelection(view) {\n    if (view.editable && !view.hasFocus())\n        return false;\n    return hasSelection(view);\n}\nfunction hasSelection(view) {\n    let sel = view.domSelectionRange();\n    if (!sel.anchorNode)\n        return false;\n    try {\n        // Firefox will raise 'permission denied' errors when accessing\n        // properties of `sel.anchorNode` when it's in a generated CSS\n        // element.\n        return view.dom.contains(sel.anchorNode.nodeType == 3 ? sel.anchorNode.parentNode : sel.anchorNode) &&\n            (view.editable || view.dom.contains(sel.focusNode.nodeType == 3 ? sel.focusNode.parentNode : sel.focusNode));\n    }\n    catch (_) {\n        return false;\n    }\n}\nfunction anchorInRightPlace(view) {\n    let anchorDOM = view.docView.domFromPos(view.state.selection.anchor, 0);\n    let domSel = view.domSelectionRange();\n    return isEquivalentPosition(anchorDOM.node, anchorDOM.offset, domSel.anchorNode, domSel.anchorOffset);\n}\n\nfunction moveSelectionBlock(state, dir) {\n    let { $anchor, $head } = state.selection;\n    let $side = dir > 0 ? $anchor.max($head) : $anchor.min($head);\n    let $start = !$side.parent.inlineContent ? $side : $side.depth ? state.doc.resolve(dir > 0 ? $side.after() : $side.before()) : null;\n    return $start && Selection.findFrom($start, dir);\n}\nfunction apply(view, sel) {\n    view.dispatch(view.state.tr.setSelection(sel).scrollIntoView());\n    return true;\n}\nfunction selectHorizontally(view, dir, mods) {\n    let sel = view.state.selection;\n    if (sel instanceof TextSelection) {\n        if (mods.indexOf(\"s\") > -1) {\n            let { $head } = sel, node = $head.textOffset ? null : dir < 0 ? $head.nodeBefore : $head.nodeAfter;\n            if (!node || node.isText || !node.isLeaf)\n                return false;\n            let $newHead = view.state.doc.resolve($head.pos + node.nodeSize * (dir < 0 ? -1 : 1));\n            return apply(view, new TextSelection(sel.$anchor, $newHead));\n        }\n        else if (!sel.empty) {\n            return false;\n        }\n        else if (view.endOfTextblock(dir > 0 ? \"forward\" : \"backward\")) {\n            let next = moveSelectionBlock(view.state, dir);\n            if (next && (next instanceof NodeSelection))\n                return apply(view, next);\n            return false;\n        }\n        else if (!(mac && mods.indexOf(\"m\") > -1)) {\n            let $head = sel.$head, node = $head.textOffset ? null : dir < 0 ? $head.nodeBefore : $head.nodeAfter, desc;\n            if (!node || node.isText)\n                return false;\n            let nodePos = dir < 0 ? $head.pos - node.nodeSize : $head.pos;\n            if (!(node.isAtom || (desc = view.docView.descAt(nodePos)) && !desc.contentDOM))\n                return false;\n            if (NodeSelection.isSelectable(node)) {\n                return apply(view, new NodeSelection(dir < 0 ? view.state.doc.resolve($head.pos - node.nodeSize) : $head));\n            }\n            else if (webkit) {\n                // Chrome and Safari will introduce extra pointless cursor\n                // positions around inline uneditable nodes, so we have to\n                // take over and move the cursor past them (#937)\n                return apply(view, new TextSelection(view.state.doc.resolve(dir < 0 ? nodePos : nodePos + node.nodeSize)));\n            }\n            else {\n                return false;\n            }\n        }\n    }\n    else if (sel instanceof NodeSelection && sel.node.isInline) {\n        return apply(view, new TextSelection(dir > 0 ? sel.$to : sel.$from));\n    }\n    else {\n        let next = moveSelectionBlock(view.state, dir);\n        if (next)\n            return apply(view, next);\n        return false;\n    }\n}\nfunction nodeLen(node) {\n    return node.nodeType == 3 ? node.nodeValue.length : node.childNodes.length;\n}\nfunction isIgnorable(dom, dir) {\n    let desc = dom.pmViewDesc;\n    return desc && desc.size == 0 && (dir < 0 || dom.nextSibling || dom.nodeName != \"BR\");\n}\nfunction skipIgnoredNodes(view, dir) {\n    return dir < 0 ? skipIgnoredNodesBefore(view) : skipIgnoredNodesAfter(view);\n}\n// Make sure the cursor isn't directly after one or more ignored\n// nodes, which will confuse the browser's cursor motion logic.\nfunction skipIgnoredNodesBefore(view) {\n    let sel = view.domSelectionRange();\n    let node = sel.focusNode, offset = sel.focusOffset;\n    if (!node)\n        return;\n    let moveNode, moveOffset, force = false;\n    // Gecko will do odd things when the selection is directly in front\n    // of a non-editable node, so in that case, move it into the next\n    // node if possible. Issue prosemirror/prosemirror#832.\n    if (gecko && node.nodeType == 1 && offset < nodeLen(node) && isIgnorable(node.childNodes[offset], -1))\n        force = true;\n    for (;;) {\n        if (offset > 0) {\n            if (node.nodeType != 1) {\n                break;\n            }\n            else {\n                let before = node.childNodes[offset - 1];\n                if (isIgnorable(before, -1)) {\n                    moveNode = node;\n                    moveOffset = --offset;\n                }\n                else if (before.nodeType == 3) {\n                    node = before;\n                    offset = node.nodeValue.length;\n                }\n                else\n                    break;\n            }\n        }\n        else if (isBlockNode(node)) {\n            break;\n        }\n        else {\n            let prev = node.previousSibling;\n            while (prev && isIgnorable(prev, -1)) {\n                moveNode = node.parentNode;\n                moveOffset = domIndex(prev);\n                prev = prev.previousSibling;\n            }\n            if (!prev) {\n                node = node.parentNode;\n                if (node == view.dom)\n                    break;\n                offset = 0;\n            }\n            else {\n                node = prev;\n                offset = nodeLen(node);\n            }\n        }\n    }\n    if (force)\n        setSelFocus(view, node, offset);\n    else if (moveNode)\n        setSelFocus(view, moveNode, moveOffset);\n}\n// Make sure the cursor isn't directly before one or more ignored\n// nodes.\nfunction skipIgnoredNodesAfter(view) {\n    let sel = view.domSelectionRange();\n    let node = sel.focusNode, offset = sel.focusOffset;\n    if (!node)\n        return;\n    let len = nodeLen(node);\n    let moveNode, moveOffset;\n    for (;;) {\n        if (offset < len) {\n            if (node.nodeType != 1)\n                break;\n            let after = node.childNodes[offset];\n            if (isIgnorable(after, 1)) {\n                moveNode = node;\n                moveOffset = ++offset;\n            }\n            else\n                break;\n        }\n        else if (isBlockNode(node)) {\n            break;\n        }\n        else {\n            let next = node.nextSibling;\n            while (next && isIgnorable(next, 1)) {\n                moveNode = next.parentNode;\n                moveOffset = domIndex(next) + 1;\n                next = next.nextSibling;\n            }\n            if (!next) {\n                node = node.parentNode;\n                if (node == view.dom)\n                    break;\n                offset = len = 0;\n            }\n            else {\n                node = next;\n                offset = 0;\n                len = nodeLen(node);\n            }\n        }\n    }\n    if (moveNode)\n        setSelFocus(view, moveNode, moveOffset);\n}\nfunction isBlockNode(dom) {\n    let desc = dom.pmViewDesc;\n    return desc && desc.node && desc.node.isBlock;\n}\nfunction textNodeAfter(node, offset) {\n    while (node && offset == node.childNodes.length && !hasBlockDesc(node)) {\n        offset = domIndex(node) + 1;\n        node = node.parentNode;\n    }\n    while (node && offset < node.childNodes.length) {\n        let next = node.childNodes[offset];\n        if (next.nodeType == 3)\n            return next;\n        if (next.nodeType == 1 && next.contentEditable == \"false\")\n            break;\n        node = next;\n        offset = 0;\n    }\n}\nfunction textNodeBefore(node, offset) {\n    while (node && !offset && !hasBlockDesc(node)) {\n        offset = domIndex(node);\n        node = node.parentNode;\n    }\n    while (node && offset) {\n        let next = node.childNodes[offset - 1];\n        if (next.nodeType == 3)\n            return next;\n        if (next.nodeType == 1 && next.contentEditable == \"false\")\n            break;\n        node = next;\n        offset = node.childNodes.length;\n    }\n}\nfunction setSelFocus(view, node, offset) {\n    if (node.nodeType != 3) {\n        let before, after;\n        if (after = textNodeAfter(node, offset)) {\n            node = after;\n            offset = 0;\n        }\n        else if (before = textNodeBefore(node, offset)) {\n            node = before;\n            offset = before.nodeValue.length;\n        }\n    }\n    let sel = view.domSelection();\n    if (selectionCollapsed(sel)) {\n        let range = document.createRange();\n        range.setEnd(node, offset);\n        range.setStart(node, offset);\n        sel.removeAllRanges();\n        sel.addRange(range);\n    }\n    else if (sel.extend) {\n        sel.extend(node, offset);\n    }\n    view.domObserver.setCurSelection();\n    let { state } = view;\n    // If no state update ends up happening, reset the selection.\n    setTimeout(() => {\n        if (view.state == state)\n            selectionToDOM(view);\n    }, 50);\n}\nfunction findDirection(view, pos) {\n    let $pos = view.state.doc.resolve(pos);\n    if (!(chrome || windows) && $pos.parent.inlineContent) {\n        let coords = view.coordsAtPos(pos);\n        if (pos > $pos.start()) {\n            let before = view.coordsAtPos(pos - 1);\n            let mid = (before.top + before.bottom) / 2;\n            if (mid > coords.top && mid < coords.bottom && Math.abs(before.left - coords.left) > 1)\n                return before.left < coords.left ? \"ltr\" : \"rtl\";\n        }\n        if (pos < $pos.end()) {\n            let after = view.coordsAtPos(pos + 1);\n            let mid = (after.top + after.bottom) / 2;\n            if (mid > coords.top && mid < coords.bottom && Math.abs(after.left - coords.left) > 1)\n                return after.left > coords.left ? \"ltr\" : \"rtl\";\n        }\n    }\n    let computed = getComputedStyle(view.dom).direction;\n    return computed == \"rtl\" ? \"rtl\" : \"ltr\";\n}\n// Check whether vertical selection motion would involve node\n// selections. If so, apply it (if not, the result is left to the\n// browser)\nfunction selectVertically(view, dir, mods) {\n    let sel = view.state.selection;\n    if (sel instanceof TextSelection && !sel.empty || mods.indexOf(\"s\") > -1)\n        return false;\n    if (mac && mods.indexOf(\"m\") > -1)\n        return false;\n    let { $from, $to } = sel;\n    if (!$from.parent.inlineContent || view.endOfTextblock(dir < 0 ? \"up\" : \"down\")) {\n        let next = moveSelectionBlock(view.state, dir);\n        if (next && (next instanceof NodeSelection))\n            return apply(view, next);\n    }\n    if (!$from.parent.inlineContent) {\n        let side = dir < 0 ? $from : $to;\n        let beyond = sel instanceof AllSelection ? Selection.near(side, dir) : Selection.findFrom(side, dir);\n        return beyond ? apply(view, beyond) : false;\n    }\n    return false;\n}\nfunction stopNativeHorizontalDelete(view, dir) {\n    if (!(view.state.selection instanceof TextSelection))\n        return true;\n    let { $head, $anchor, empty } = view.state.selection;\n    if (!$head.sameParent($anchor))\n        return true;\n    if (!empty)\n        return false;\n    if (view.endOfTextblock(dir > 0 ? \"forward\" : \"backward\"))\n        return true;\n    let nextNode = !$head.textOffset && (dir < 0 ? $head.nodeBefore : $head.nodeAfter);\n    if (nextNode && !nextNode.isText) {\n        let tr = view.state.tr;\n        if (dir < 0)\n            tr.delete($head.pos - nextNode.nodeSize, $head.pos);\n        else\n            tr.delete($head.pos, $head.pos + nextNode.nodeSize);\n        view.dispatch(tr);\n        return true;\n    }\n    return false;\n}\nfunction switchEditable(view, node, state) {\n    view.domObserver.stop();\n    node.contentEditable = state;\n    view.domObserver.start();\n}\n// Issue #867 / #1090 / https://bugs.chromium.org/p/chromium/issues/detail?id=903821\n// In which Safari (and at some point in the past, Chrome) does really\n// wrong things when the down arrow is pressed when the cursor is\n// directly at the start of a textblock and has an uneditable node\n// after it\nfunction safariDownArrowBug(view) {\n    if (!safari || view.state.selection.$head.parentOffset > 0)\n        return false;\n    let { focusNode, focusOffset } = view.domSelectionRange();\n    if (focusNode && focusNode.nodeType == 1 && focusOffset == 0 &&\n        focusNode.firstChild && focusNode.firstChild.contentEditable == \"false\") {\n        let child = focusNode.firstChild;\n        switchEditable(view, child, \"true\");\n        setTimeout(() => switchEditable(view, child, \"false\"), 20);\n    }\n    return false;\n}\n// A backdrop key mapping used to make sure we always suppress keys\n// that have a dangerous default effect, even if the commands they are\n// bound to return false, and to make sure that cursor-motion keys\n// find a cursor (as opposed to a node selection) when pressed. For\n// cursor-motion keys, the code in the handlers also takes care of\n// block selections.\nfunction getMods(event) {\n    let result = \"\";\n    if (event.ctrlKey)\n        result += \"c\";\n    if (event.metaKey)\n        result += \"m\";\n    if (event.altKey)\n        result += \"a\";\n    if (event.shiftKey)\n        result += \"s\";\n    return result;\n}\nfunction captureKeyDown(view, event) {\n    let code = event.keyCode, mods = getMods(event);\n    if (code == 8 || (mac && code == 72 && mods == \"c\")) { // Backspace, Ctrl-h on Mac\n        return stopNativeHorizontalDelete(view, -1) || skipIgnoredNodes(view, -1);\n    }\n    else if ((code == 46 && !event.shiftKey) || (mac && code == 68 && mods == \"c\")) { // Delete, Ctrl-d on Mac\n        return stopNativeHorizontalDelete(view, 1) || skipIgnoredNodes(view, 1);\n    }\n    else if (code == 13 || code == 27) { // Enter, Esc\n        return true;\n    }\n    else if (code == 37 || (mac && code == 66 && mods == \"c\")) { // Left arrow, Ctrl-b on Mac\n        let dir = code == 37 ? (findDirection(view, view.state.selection.from) == \"ltr\" ? -1 : 1) : -1;\n        return selectHorizontally(view, dir, mods) || skipIgnoredNodes(view, dir);\n    }\n    else if (code == 39 || (mac && code == 70 && mods == \"c\")) { // Right arrow, Ctrl-f on Mac\n        let dir = code == 39 ? (findDirection(view, view.state.selection.from) == \"ltr\" ? 1 : -1) : 1;\n        return selectHorizontally(view, dir, mods) || skipIgnoredNodes(view, dir);\n    }\n    else if (code == 38 || (mac && code == 80 && mods == \"c\")) { // Up arrow, Ctrl-p on Mac\n        return selectVertically(view, -1, mods) || skipIgnoredNodes(view, -1);\n    }\n    else if (code == 40 || (mac && code == 78 && mods == \"c\")) { // Down arrow, Ctrl-n on Mac\n        return safariDownArrowBug(view) || selectVertically(view, 1, mods) || skipIgnoredNodes(view, 1);\n    }\n    else if (mods == (mac ? \"m\" : \"c\") &&\n        (code == 66 || code == 73 || code == 89 || code == 90)) { // Mod-[biyz]\n        return true;\n    }\n    return false;\n}\n\nfunction serializeForClipboard(view, slice) {\n    view.someProp(\"transformCopied\", f => { slice = f(slice, view); });\n    let context = [], { content, openStart, openEnd } = slice;\n    while (openStart > 1 && openEnd > 1 && content.childCount == 1 && content.firstChild.childCount == 1) {\n        openStart--;\n        openEnd--;\n        let node = content.firstChild;\n        context.push(node.type.name, node.attrs != node.type.defaultAttrs ? node.attrs : null);\n        content = node.content;\n    }\n    let serializer = view.someProp(\"clipboardSerializer\") || DOMSerializer.fromSchema(view.state.schema);\n    let doc = detachedDoc(), wrap = doc.createElement(\"div\");\n    wrap.appendChild(serializer.serializeFragment(content, { document: doc }));\n    let firstChild = wrap.firstChild, needsWrap, wrappers = 0;\n    while (firstChild && firstChild.nodeType == 1 && (needsWrap = wrapMap[firstChild.nodeName.toLowerCase()])) {\n        for (let i = needsWrap.length - 1; i >= 0; i--) {\n            let wrapper = doc.createElement(needsWrap[i]);\n            while (wrap.firstChild)\n                wrapper.appendChild(wrap.firstChild);\n            wrap.appendChild(wrapper);\n            wrappers++;\n        }\n        firstChild = wrap.firstChild;\n    }\n    if (firstChild && firstChild.nodeType == 1)\n        firstChild.setAttribute(\"data-pm-slice\", `${openStart} ${openEnd}${wrappers ? ` -${wrappers}` : \"\"} ${JSON.stringify(context)}`);\n    let text = view.someProp(\"clipboardTextSerializer\", f => f(slice, view)) ||\n        slice.content.textBetween(0, slice.content.size, \"\\n\\n\");\n    return { dom: wrap, text };\n}\n// Read a slice of content from the clipboard (or drop data).\nfunction parseFromClipboard(view, text, html, plainText, $context) {\n    let inCode = $context.parent.type.spec.code;\n    let dom, slice;\n    if (!html && !text)\n        return null;\n    let asText = text && (plainText || inCode || !html);\n    if (asText) {\n        view.someProp(\"transformPastedText\", f => { text = f(text, inCode || plainText, view); });\n        if (inCode)\n            return text ? new Slice(Fragment.from(view.state.schema.text(text.replace(/\\r\\n?/g, \"\\n\"))), 0, 0) : Slice.empty;\n        let parsed = view.someProp(\"clipboardTextParser\", f => f(text, $context, plainText, view));\n        if (parsed) {\n            slice = parsed;\n        }\n        else {\n            let marks = $context.marks();\n            let { schema } = view.state, serializer = DOMSerializer.fromSchema(schema);\n            dom = document.createElement(\"div\");\n            text.split(/(?:\\r\\n?|\\n)+/).forEach(block => {\n                let p = dom.appendChild(document.createElement(\"p\"));\n                if (block)\n                    p.appendChild(serializer.serializeNode(schema.text(block, marks)));\n            });\n        }\n    }\n    else {\n        view.someProp(\"transformPastedHTML\", f => { html = f(html, view); });\n        dom = readHTML(html);\n        if (webkit)\n            restoreReplacedSpaces(dom);\n    }\n    let contextNode = dom && dom.querySelector(\"[data-pm-slice]\");\n    let sliceData = contextNode && /^(\\d+) (\\d+)(?: -(\\d+))? (.*)/.exec(contextNode.getAttribute(\"data-pm-slice\") || \"\");\n    if (sliceData && sliceData[3])\n        for (let i = +sliceData[3]; i > 0; i--) {\n            let child = dom.firstChild;\n            while (child && child.nodeType != 1)\n                child = child.nextSibling;\n            if (!child)\n                break;\n            dom = child;\n        }\n    if (!slice) {\n        let parser = view.someProp(\"clipboardParser\") || view.someProp(\"domParser\") || DOMParser.fromSchema(view.state.schema);\n        slice = parser.parseSlice(dom, {\n            preserveWhitespace: !!(asText || sliceData),\n            context: $context,\n            ruleFromNode(dom) {\n                if (dom.nodeName == \"BR\" && !dom.nextSibling &&\n                    dom.parentNode && !inlineParents.test(dom.parentNode.nodeName))\n                    return { ignore: true };\n                return null;\n            }\n        });\n    }\n    if (sliceData) {\n        slice = addContext(closeSlice(slice, +sliceData[1], +sliceData[2]), sliceData[4]);\n    }\n    else { // HTML wasn't created by ProseMirror. Make sure top-level siblings are coherent\n        slice = Slice.maxOpen(normalizeSiblings(slice.content, $context), true);\n        if (slice.openStart || slice.openEnd) {\n            let openStart = 0, openEnd = 0;\n            for (let node = slice.content.firstChild; openStart < slice.openStart && !node.type.spec.isolating; openStart++, node = node.firstChild) { }\n            for (let node = slice.content.lastChild; openEnd < slice.openEnd && !node.type.spec.isolating; openEnd++, node = node.lastChild) { }\n            slice = closeSlice(slice, openStart, openEnd);\n        }\n    }\n    view.someProp(\"transformPasted\", f => { slice = f(slice, view); });\n    return slice;\n}\nconst inlineParents = /^(a|abbr|acronym|b|cite|code|del|em|i|ins|kbd|label|output|q|ruby|s|samp|span|strong|sub|sup|time|u|tt|var)$/i;\n// Takes a slice parsed with parseSlice, which means there hasn't been\n// any content-expression checking done on the top nodes, tries to\n// find a parent node in the current context that might fit the nodes,\n// and if successful, rebuilds the slice so that it fits into that parent.\n//\n// This addresses the problem that Transform.replace expects a\n// coherent slice, and will fail to place a set of siblings that don't\n// fit anywhere in the schema.\nfunction normalizeSiblings(fragment, $context) {\n    if (fragment.childCount < 2)\n        return fragment;\n    for (let d = $context.depth; d >= 0; d--) {\n        let parent = $context.node(d);\n        let match = parent.contentMatchAt($context.index(d));\n        let lastWrap, result = [];\n        fragment.forEach(node => {\n            if (!result)\n                return;\n            let wrap = match.findWrapping(node.type), inLast;\n            if (!wrap)\n                return result = null;\n            if (inLast = result.length && lastWrap.length && addToSibling(wrap, lastWrap, node, result[result.length - 1], 0)) {\n                result[result.length - 1] = inLast;\n            }\n            else {\n                if (result.length)\n                    result[result.length - 1] = closeRight(result[result.length - 1], lastWrap.length);\n                let wrapped = withWrappers(node, wrap);\n                result.push(wrapped);\n                match = match.matchType(wrapped.type);\n                lastWrap = wrap;\n            }\n        });\n        if (result)\n            return Fragment.from(result);\n    }\n    return fragment;\n}\nfunction withWrappers(node, wrap, from = 0) {\n    for (let i = wrap.length - 1; i >= from; i--)\n        node = wrap[i].create(null, Fragment.from(node));\n    return node;\n}\n// Used to group adjacent nodes wrapped in similar parents by\n// normalizeSiblings into the same parent node\nfunction addToSibling(wrap, lastWrap, node, sibling, depth) {\n    if (depth < wrap.length && depth < lastWrap.length && wrap[depth] == lastWrap[depth]) {\n        let inner = addToSibling(wrap, lastWrap, node, sibling.lastChild, depth + 1);\n        if (inner)\n            return sibling.copy(sibling.content.replaceChild(sibling.childCount - 1, inner));\n        let match = sibling.contentMatchAt(sibling.childCount);\n        if (match.matchType(depth == wrap.length - 1 ? node.type : wrap[depth + 1]))\n            return sibling.copy(sibling.content.append(Fragment.from(withWrappers(node, wrap, depth + 1))));\n    }\n}\nfunction closeRight(node, depth) {\n    if (depth == 0)\n        return node;\n    let fragment = node.content.replaceChild(node.childCount - 1, closeRight(node.lastChild, depth - 1));\n    let fill = node.contentMatchAt(node.childCount).fillBefore(Fragment.empty, true);\n    return node.copy(fragment.append(fill));\n}\nfunction closeRange(fragment, side, from, to, depth, openEnd) {\n    let node = side < 0 ? fragment.firstChild : fragment.lastChild, inner = node.content;\n    if (fragment.childCount > 1)\n        openEnd = 0;\n    if (depth < to - 1)\n        inner = closeRange(inner, side, from, to, depth + 1, openEnd);\n    if (depth >= from)\n        inner = side < 0 ? node.contentMatchAt(0).fillBefore(inner, openEnd <= depth).append(inner)\n            : inner.append(node.contentMatchAt(node.childCount).fillBefore(Fragment.empty, true));\n    return fragment.replaceChild(side < 0 ? 0 : fragment.childCount - 1, node.copy(inner));\n}\nfunction closeSlice(slice, openStart, openEnd) {\n    if (openStart < slice.openStart)\n        slice = new Slice(closeRange(slice.content, -1, openStart, slice.openStart, 0, slice.openEnd), openStart, slice.openEnd);\n    if (openEnd < slice.openEnd)\n        slice = new Slice(closeRange(slice.content, 1, openEnd, slice.openEnd, 0, 0), slice.openStart, openEnd);\n    return slice;\n}\n// Trick from jQuery -- some elements must be wrapped in other\n// elements for innerHTML to work. I.e. if you do `div.innerHTML =\n// \"<td>..</td>\"` the table cells are ignored.\nconst wrapMap = {\n    thead: [\"table\"],\n    tbody: [\"table\"],\n    tfoot: [\"table\"],\n    caption: [\"table\"],\n    colgroup: [\"table\"],\n    col: [\"table\", \"colgroup\"],\n    tr: [\"table\", \"tbody\"],\n    td: [\"table\", \"tbody\", \"tr\"],\n    th: [\"table\", \"tbody\", \"tr\"]\n};\nlet _detachedDoc = null;\nfunction detachedDoc() {\n    return _detachedDoc || (_detachedDoc = document.implementation.createHTMLDocument(\"title\"));\n}\nfunction readHTML(html) {\n    let metas = /^(\\s*<meta [^>]*>)*/.exec(html);\n    if (metas)\n        html = html.slice(metas[0].length);\n    let elt = detachedDoc().createElement(\"div\");\n    let firstTag = /<([a-z][^>\\s]+)/i.exec(html), wrap;\n    if (wrap = firstTag && wrapMap[firstTag[1].toLowerCase()])\n        html = wrap.map(n => \"<\" + n + \">\").join(\"\") + html + wrap.map(n => \"</\" + n + \">\").reverse().join(\"\");\n    elt.innerHTML = html;\n    if (wrap)\n        for (let i = 0; i < wrap.length; i++)\n            elt = elt.querySelector(wrap[i]) || elt;\n    return elt;\n}\n// Webkit browsers do some hard-to-predict replacement of regular\n// spaces with non-breaking spaces when putting content on the\n// clipboard. This tries to convert such non-breaking spaces (which\n// will be wrapped in a plain span on Chrome, a span with class\n// Apple-converted-space on Safari) back to regular spaces.\nfunction restoreReplacedSpaces(dom) {\n    let nodes = dom.querySelectorAll(chrome ? \"span:not([class]):not([style])\" : \"span.Apple-converted-space\");\n    for (let i = 0; i < nodes.length; i++) {\n        let node = nodes[i];\n        if (node.childNodes.length == 1 && node.textContent == \"\\u00a0\" && node.parentNode)\n            node.parentNode.replaceChild(dom.ownerDocument.createTextNode(\" \"), node);\n    }\n}\nfunction addContext(slice, context) {\n    if (!slice.size)\n        return slice;\n    let schema = slice.content.firstChild.type.schema, array;\n    try {\n        array = JSON.parse(context);\n    }\n    catch (e) {\n        return slice;\n    }\n    let { content, openStart, openEnd } = slice;\n    for (let i = array.length - 2; i >= 0; i -= 2) {\n        let type = schema.nodes[array[i]];\n        if (!type || type.hasRequiredAttrs())\n            break;\n        content = Fragment.from(type.create(array[i + 1], content));\n        openStart++;\n        openEnd++;\n    }\n    return new Slice(content, openStart, openEnd);\n}\n\n// A collection of DOM events that occur within the editor, and callback functions\n// to invoke when the event fires.\nconst handlers = {};\nconst editHandlers = {};\nconst passiveHandlers = { touchstart: true, touchmove: true };\nclass InputState {\n    constructor() {\n        this.shiftKey = false;\n        this.mouseDown = null;\n        this.lastKeyCode = null;\n        this.lastKeyCodeTime = 0;\n        this.lastClick = { time: 0, x: 0, y: 0, type: \"\" };\n        this.lastSelectionOrigin = null;\n        this.lastSelectionTime = 0;\n        this.lastIOSEnter = 0;\n        this.lastIOSEnterFallbackTimeout = -1;\n        this.lastFocus = 0;\n        this.lastTouch = 0;\n        this.lastAndroidDelete = 0;\n        this.composing = false;\n        this.compositionNode = null;\n        this.composingTimeout = -1;\n        this.compositionNodes = [];\n        this.compositionEndedAt = -2e8;\n        this.compositionID = 1;\n        // Set to a composition ID when there are pending changes at compositionend\n        this.compositionPendingChanges = 0;\n        this.domChangeCount = 0;\n        this.eventHandlers = Object.create(null);\n        this.hideSelectionGuard = null;\n    }\n}\nfunction initInput(view) {\n    for (let event in handlers) {\n        let handler = handlers[event];\n        view.dom.addEventListener(event, view.input.eventHandlers[event] = (event) => {\n            if (eventBelongsToView(view, event) && !runCustomHandler(view, event) &&\n                (view.editable || !(event.type in editHandlers)))\n                handler(view, event);\n        }, passiveHandlers[event] ? { passive: true } : undefined);\n    }\n    // On Safari, for reasons beyond my understanding, adding an input\n    // event handler makes an issue where the composition vanishes when\n    // you press enter go away.\n    if (safari)\n        view.dom.addEventListener(\"input\", () => null);\n    ensureListeners(view);\n}\nfunction setSelectionOrigin(view, origin) {\n    view.input.lastSelectionOrigin = origin;\n    view.input.lastSelectionTime = Date.now();\n}\nfunction destroyInput(view) {\n    view.domObserver.stop();\n    for (let type in view.input.eventHandlers)\n        view.dom.removeEventListener(type, view.input.eventHandlers[type]);\n    clearTimeout(view.input.composingTimeout);\n    clearTimeout(view.input.lastIOSEnterFallbackTimeout);\n}\nfunction ensureListeners(view) {\n    view.someProp(\"handleDOMEvents\", currentHandlers => {\n        for (let type in currentHandlers)\n            if (!view.input.eventHandlers[type])\n                view.dom.addEventListener(type, view.input.eventHandlers[type] = event => runCustomHandler(view, event));\n    });\n}\nfunction runCustomHandler(view, event) {\n    return view.someProp(\"handleDOMEvents\", handlers => {\n        let handler = handlers[event.type];\n        return handler ? handler(view, event) || event.defaultPrevented : false;\n    });\n}\nfunction eventBelongsToView(view, event) {\n    if (!event.bubbles)\n        return true;\n    if (event.defaultPrevented)\n        return false;\n    for (let node = event.target; node != view.dom; node = node.parentNode)\n        if (!node || node.nodeType == 11 ||\n            (node.pmViewDesc && node.pmViewDesc.stopEvent(event)))\n            return false;\n    return true;\n}\nfunction dispatchEvent(view, event) {\n    if (!runCustomHandler(view, event) && handlers[event.type] &&\n        (view.editable || !(event.type in editHandlers)))\n        handlers[event.type](view, event);\n}\neditHandlers.keydown = (view, _event) => {\n    let event = _event;\n    view.input.shiftKey = event.keyCode == 16 || event.shiftKey;\n    if (inOrNearComposition(view, event))\n        return;\n    view.input.lastKeyCode = event.keyCode;\n    view.input.lastKeyCodeTime = Date.now();\n    // Suppress enter key events on Chrome Android, because those tend\n    // to be part of a confused sequence of composition events fired,\n    // and handling them eagerly tends to corrupt the input.\n    if (android && chrome && event.keyCode == 13)\n        return;\n    if (event.keyCode != 229)\n        view.domObserver.forceFlush();\n    // On iOS, if we preventDefault enter key presses, the virtual\n    // keyboard gets confused. So the hack here is to set a flag that\n    // makes the DOM change code recognize that what just happens should\n    // be replaced by whatever the Enter key handlers do.\n    if (ios && event.keyCode == 13 && !event.ctrlKey && !event.altKey && !event.metaKey) {\n        let now = Date.now();\n        view.input.lastIOSEnter = now;\n        view.input.lastIOSEnterFallbackTimeout = setTimeout(() => {\n            if (view.input.lastIOSEnter == now) {\n                view.someProp(\"handleKeyDown\", f => f(view, keyEvent(13, \"Enter\")));\n                view.input.lastIOSEnter = 0;\n            }\n        }, 200);\n    }\n    else if (view.someProp(\"handleKeyDown\", f => f(view, event)) || captureKeyDown(view, event)) {\n        event.preventDefault();\n    }\n    else {\n        setSelectionOrigin(view, \"key\");\n    }\n};\neditHandlers.keyup = (view, event) => {\n    if (event.keyCode == 16)\n        view.input.shiftKey = false;\n};\neditHandlers.keypress = (view, _event) => {\n    let event = _event;\n    if (inOrNearComposition(view, event) || !event.charCode ||\n        event.ctrlKey && !event.altKey || mac && event.metaKey)\n        return;\n    if (view.someProp(\"handleKeyPress\", f => f(view, event))) {\n        event.preventDefault();\n        return;\n    }\n    let sel = view.state.selection;\n    if (!(sel instanceof TextSelection) || !sel.$from.sameParent(sel.$to)) {\n        let text = String.fromCharCode(event.charCode);\n        if (!/[\\r\\n]/.test(text) && !view.someProp(\"handleTextInput\", f => f(view, sel.$from.pos, sel.$to.pos, text)))\n            view.dispatch(view.state.tr.insertText(text).scrollIntoView());\n        event.preventDefault();\n    }\n};\nfunction eventCoords(event) { return { left: event.clientX, top: event.clientY }; }\nfunction isNear(event, click) {\n    let dx = click.x - event.clientX, dy = click.y - event.clientY;\n    return dx * dx + dy * dy < 100;\n}\nfunction runHandlerOnContext(view, propName, pos, inside, event) {\n    if (inside == -1)\n        return false;\n    let $pos = view.state.doc.resolve(inside);\n    for (let i = $pos.depth + 1; i > 0; i--) {\n        if (view.someProp(propName, f => i > $pos.depth ? f(view, pos, $pos.nodeAfter, $pos.before(i), event, true)\n            : f(view, pos, $pos.node(i), $pos.before(i), event, false)))\n            return true;\n    }\n    return false;\n}\nfunction updateSelection(view, selection, origin) {\n    if (!view.focused)\n        view.focus();\n    let tr = view.state.tr.setSelection(selection);\n    if (origin == \"pointer\")\n        tr.setMeta(\"pointer\", true);\n    view.dispatch(tr);\n}\nfunction selectClickedLeaf(view, inside) {\n    if (inside == -1)\n        return false;\n    let $pos = view.state.doc.resolve(inside), node = $pos.nodeAfter;\n    if (node && node.isAtom && NodeSelection.isSelectable(node)) {\n        updateSelection(view, new NodeSelection($pos), \"pointer\");\n        return true;\n    }\n    return false;\n}\nfunction selectClickedNode(view, inside) {\n    if (inside == -1)\n        return false;\n    let sel = view.state.selection, selectedNode, selectAt;\n    if (sel instanceof NodeSelection)\n        selectedNode = sel.node;\n    let $pos = view.state.doc.resolve(inside);\n    for (let i = $pos.depth + 1; i > 0; i--) {\n        let node = i > $pos.depth ? $pos.nodeAfter : $pos.node(i);\n        if (NodeSelection.isSelectable(node)) {\n            if (selectedNode && sel.$from.depth > 0 &&\n                i >= sel.$from.depth && $pos.before(sel.$from.depth + 1) == sel.$from.pos)\n                selectAt = $pos.before(sel.$from.depth);\n            else\n                selectAt = $pos.before(i);\n            break;\n        }\n    }\n    if (selectAt != null) {\n        updateSelection(view, NodeSelection.create(view.state.doc, selectAt), \"pointer\");\n        return true;\n    }\n    else {\n        return false;\n    }\n}\nfunction handleSingleClick(view, pos, inside, event, selectNode) {\n    return runHandlerOnContext(view, \"handleClickOn\", pos, inside, event) ||\n        view.someProp(\"handleClick\", f => f(view, pos, event)) ||\n        (selectNode ? selectClickedNode(view, inside) : selectClickedLeaf(view, inside));\n}\nfunction handleDoubleClick(view, pos, inside, event) {\n    return runHandlerOnContext(view, \"handleDoubleClickOn\", pos, inside, event) ||\n        view.someProp(\"handleDoubleClick\", f => f(view, pos, event));\n}\nfunction handleTripleClick(view, pos, inside, event) {\n    return runHandlerOnContext(view, \"handleTripleClickOn\", pos, inside, event) ||\n        view.someProp(\"handleTripleClick\", f => f(view, pos, event)) ||\n        defaultTripleClick(view, inside, event);\n}\nfunction defaultTripleClick(view, inside, event) {\n    if (event.button != 0)\n        return false;\n    let doc = view.state.doc;\n    if (inside == -1) {\n        if (doc.inlineContent) {\n            updateSelection(view, TextSelection.create(doc, 0, doc.content.size), \"pointer\");\n            return true;\n        }\n        return false;\n    }\n    let $pos = doc.resolve(inside);\n    for (let i = $pos.depth + 1; i > 0; i--) {\n        let node = i > $pos.depth ? $pos.nodeAfter : $pos.node(i);\n        let nodePos = $pos.before(i);\n        if (node.inlineContent)\n            updateSelection(view, TextSelection.create(doc, nodePos + 1, nodePos + 1 + node.content.size), \"pointer\");\n        else if (NodeSelection.isSelectable(node))\n            updateSelection(view, NodeSelection.create(doc, nodePos), \"pointer\");\n        else\n            continue;\n        return true;\n    }\n}\nfunction forceDOMFlush(view) {\n    return endComposition(view);\n}\nconst selectNodeModifier = mac ? \"metaKey\" : \"ctrlKey\";\nhandlers.mousedown = (view, _event) => {\n    let event = _event;\n    view.input.shiftKey = event.shiftKey;\n    let flushed = forceDOMFlush(view);\n    let now = Date.now(), type = \"singleClick\";\n    if (now - view.input.lastClick.time < 500 && isNear(event, view.input.lastClick) && !event[selectNodeModifier]) {\n        if (view.input.lastClick.type == \"singleClick\")\n            type = \"doubleClick\";\n        else if (view.input.lastClick.type == \"doubleClick\")\n            type = \"tripleClick\";\n    }\n    view.input.lastClick = { time: now, x: event.clientX, y: event.clientY, type };\n    let pos = view.posAtCoords(eventCoords(event));\n    if (!pos)\n        return;\n    if (type == \"singleClick\") {\n        if (view.input.mouseDown)\n            view.input.mouseDown.done();\n        view.input.mouseDown = new MouseDown(view, pos, event, !!flushed);\n    }\n    else if ((type == \"doubleClick\" ? handleDoubleClick : handleTripleClick)(view, pos.pos, pos.inside, event)) {\n        event.preventDefault();\n    }\n    else {\n        setSelectionOrigin(view, \"pointer\");\n    }\n};\nclass MouseDown {\n    constructor(view, pos, event, flushed) {\n        this.view = view;\n        this.pos = pos;\n        this.event = event;\n        this.flushed = flushed;\n        this.delayedSelectionSync = false;\n        this.mightDrag = null;\n        this.startDoc = view.state.doc;\n        this.selectNode = !!event[selectNodeModifier];\n        this.allowDefault = event.shiftKey;\n        let targetNode, targetPos;\n        if (pos.inside > -1) {\n            targetNode = view.state.doc.nodeAt(pos.inside);\n            targetPos = pos.inside;\n        }\n        else {\n            let $pos = view.state.doc.resolve(pos.pos);\n            targetNode = $pos.parent;\n            targetPos = $pos.depth ? $pos.before() : 0;\n        }\n        const target = flushed ? null : event.target;\n        const targetDesc = target ? view.docView.nearestDesc(target, true) : null;\n        this.target = targetDesc ? targetDesc.dom : null;\n        let { selection } = view.state;\n        if (event.button == 0 &&\n            targetNode.type.spec.draggable && targetNode.type.spec.selectable !== false ||\n            selection instanceof NodeSelection && selection.from <= targetPos && selection.to > targetPos)\n            this.mightDrag = {\n                node: targetNode,\n                pos: targetPos,\n                addAttr: !!(this.target && !this.target.draggable),\n                setUneditable: !!(this.target && gecko && !this.target.hasAttribute(\"contentEditable\"))\n            };\n        if (this.target && this.mightDrag && (this.mightDrag.addAttr || this.mightDrag.setUneditable)) {\n            this.view.domObserver.stop();\n            if (this.mightDrag.addAttr)\n                this.target.draggable = true;\n            if (this.mightDrag.setUneditable)\n                setTimeout(() => {\n                    if (this.view.input.mouseDown == this)\n                        this.target.setAttribute(\"contentEditable\", \"false\");\n                }, 20);\n            this.view.domObserver.start();\n        }\n        view.root.addEventListener(\"mouseup\", this.up = this.up.bind(this));\n        view.root.addEventListener(\"mousemove\", this.move = this.move.bind(this));\n        setSelectionOrigin(view, \"pointer\");\n    }\n    done() {\n        this.view.root.removeEventListener(\"mouseup\", this.up);\n        this.view.root.removeEventListener(\"mousemove\", this.move);\n        if (this.mightDrag && this.target) {\n            this.view.domObserver.stop();\n            if (this.mightDrag.addAttr)\n                this.target.removeAttribute(\"draggable\");\n            if (this.mightDrag.setUneditable)\n                this.target.removeAttribute(\"contentEditable\");\n            this.view.domObserver.start();\n        }\n        if (this.delayedSelectionSync)\n            setTimeout(() => selectionToDOM(this.view));\n        this.view.input.mouseDown = null;\n    }\n    up(event) {\n        this.done();\n        if (!this.view.dom.contains(event.target))\n            return;\n        let pos = this.pos;\n        if (this.view.state.doc != this.startDoc)\n            pos = this.view.posAtCoords(eventCoords(event));\n        this.updateAllowDefault(event);\n        if (this.allowDefault || !pos) {\n            setSelectionOrigin(this.view, \"pointer\");\n        }\n        else if (handleSingleClick(this.view, pos.pos, pos.inside, event, this.selectNode)) {\n            event.preventDefault();\n        }\n        else if (event.button == 0 &&\n            (this.flushed ||\n                // Safari ignores clicks on draggable elements\n                (safari && this.mightDrag && !this.mightDrag.node.isAtom) ||\n                // Chrome will sometimes treat a node selection as a\n                // cursor, but still report that the node is selected\n                // when asked through getSelection. You'll then get a\n                // situation where clicking at the point where that\n                // (hidden) cursor is doesn't change the selection, and\n                // thus doesn't get a reaction from ProseMirror. This\n                // works around that.\n                (chrome && !this.view.state.selection.visible &&\n                    Math.min(Math.abs(pos.pos - this.view.state.selection.from), Math.abs(pos.pos - this.view.state.selection.to)) <= 2))) {\n            updateSelection(this.view, Selection.near(this.view.state.doc.resolve(pos.pos)), \"pointer\");\n            event.preventDefault();\n        }\n        else {\n            setSelectionOrigin(this.view, \"pointer\");\n        }\n    }\n    move(event) {\n        this.updateAllowDefault(event);\n        setSelectionOrigin(this.view, \"pointer\");\n        if (event.buttons == 0)\n            this.done();\n    }\n    updateAllowDefault(event) {\n        if (!this.allowDefault && (Math.abs(this.event.x - event.clientX) > 4 ||\n            Math.abs(this.event.y - event.clientY) > 4))\n            this.allowDefault = true;\n    }\n}\nhandlers.touchstart = view => {\n    view.input.lastTouch = Date.now();\n    forceDOMFlush(view);\n    setSelectionOrigin(view, \"pointer\");\n};\nhandlers.touchmove = view => {\n    view.input.lastTouch = Date.now();\n    setSelectionOrigin(view, \"pointer\");\n};\nhandlers.contextmenu = view => forceDOMFlush(view);\nfunction inOrNearComposition(view, event) {\n    if (view.composing)\n        return true;\n    // See https://www.stum.de/2016/06/24/handling-ime-events-in-javascript/.\n    // On Japanese input method editors (IMEs), the Enter key is used to confirm character\n    // selection. On Safari, when Enter is pressed, compositionend and keydown events are\n    // emitted. The keydown event triggers newline insertion, which we don't want.\n    // This method returns true if the keydown event should be ignored.\n    // We only ignore it once, as pressing Enter a second time *should* insert a newline.\n    // Furthermore, the keydown event timestamp must be close to the compositionEndedAt timestamp.\n    // This guards against the case where compositionend is triggered without the keyboard\n    // (e.g. character confirmation may be done with the mouse), and keydown is triggered\n    // afterwards- we wouldn't want to ignore the keydown event in this case.\n    if (safari && Math.abs(event.timeStamp - view.input.compositionEndedAt) < 500) {\n        view.input.compositionEndedAt = -2e8;\n        return true;\n    }\n    return false;\n}\n// Drop active composition after 5 seconds of inactivity on Android\nconst timeoutComposition = android ? 5000 : -1;\neditHandlers.compositionstart = editHandlers.compositionupdate = view => {\n    if (!view.composing) {\n        view.domObserver.flush();\n        let { state } = view, $pos = state.selection.$from;\n        if (state.selection.empty &&\n            (state.storedMarks ||\n                (!$pos.textOffset && $pos.parentOffset && $pos.nodeBefore.marks.some(m => m.type.spec.inclusive === false)))) {\n            // Need to wrap the cursor in mark nodes different from the ones in the DOM context\n            view.markCursor = view.state.storedMarks || $pos.marks();\n            endComposition(view, true);\n            view.markCursor = null;\n        }\n        else {\n            endComposition(view);\n            // In firefox, if the cursor is after but outside a marked node,\n            // the inserted text won't inherit the marks. So this moves it\n            // inside if necessary.\n            if (gecko && state.selection.empty && $pos.parentOffset && !$pos.textOffset && $pos.nodeBefore.marks.length) {\n                let sel = view.domSelectionRange();\n                for (let node = sel.focusNode, offset = sel.focusOffset; node && node.nodeType == 1 && offset != 0;) {\n                    let before = offset < 0 ? node.lastChild : node.childNodes[offset - 1];\n                    if (!before)\n                        break;\n                    if (before.nodeType == 3) {\n                        view.domSelection().collapse(before, before.nodeValue.length);\n                        break;\n                    }\n                    else {\n                        node = before;\n                        offset = -1;\n                    }\n                }\n            }\n        }\n        view.input.composing = true;\n    }\n    scheduleComposeEnd(view, timeoutComposition);\n};\neditHandlers.compositionend = (view, event) => {\n    if (view.composing) {\n        view.input.composing = false;\n        view.input.compositionEndedAt = event.timeStamp;\n        view.input.compositionPendingChanges = view.domObserver.pendingRecords().length ? view.input.compositionID : 0;\n        view.input.compositionNode = null;\n        if (view.input.compositionPendingChanges)\n            Promise.resolve().then(() => view.domObserver.flush());\n        view.input.compositionID++;\n        scheduleComposeEnd(view, 20);\n    }\n};\nfunction scheduleComposeEnd(view, delay) {\n    clearTimeout(view.input.composingTimeout);\n    if (delay > -1)\n        view.input.composingTimeout = setTimeout(() => endComposition(view), delay);\n}\nfunction clearComposition(view) {\n    if (view.composing) {\n        view.input.composing = false;\n        view.input.compositionEndedAt = timestampFromCustomEvent();\n    }\n    while (view.input.compositionNodes.length > 0)\n        view.input.compositionNodes.pop().markParentsDirty();\n}\nfunction findCompositionNode(view) {\n    let sel = view.domSelectionRange();\n    if (!sel.focusNode)\n        return null;\n    let textBefore = textNodeBefore$1(sel.focusNode, sel.focusOffset);\n    let textAfter = textNodeAfter$1(sel.focusNode, sel.focusOffset);\n    if (textBefore && textAfter && textBefore != textAfter) {\n        let descAfter = textAfter.pmViewDesc;\n        if (!descAfter || !descAfter.isText(textAfter.nodeValue)) {\n            return textAfter;\n        }\n        else if (view.input.compositionNode == textAfter) {\n            let descBefore = textBefore.pmViewDesc;\n            if (!(!descBefore || !descBefore.isText(textBefore.nodeValue)))\n                return textAfter;\n        }\n    }\n    return textBefore || textAfter;\n}\nfunction timestampFromCustomEvent() {\n    let event = document.createEvent(\"Event\");\n    event.initEvent(\"event\", true, true);\n    return event.timeStamp;\n}\n/**\n@internal\n*/\nfunction endComposition(view, forceUpdate = false) {\n    if (android && view.domObserver.flushingSoon >= 0)\n        return;\n    view.domObserver.forceFlush();\n    clearComposition(view);\n    if (forceUpdate || view.docView && view.docView.dirty) {\n        let sel = selectionFromDOM(view);\n        if (sel && !sel.eq(view.state.selection))\n            view.dispatch(view.state.tr.setSelection(sel));\n        else\n            view.updateState(view.state);\n        return true;\n    }\n    return false;\n}\nfunction captureCopy(view, dom) {\n    // The extra wrapper is somehow necessary on IE/Edge to prevent the\n    // content from being mangled when it is put onto the clipboard\n    if (!view.dom.parentNode)\n        return;\n    let wrap = view.dom.parentNode.appendChild(document.createElement(\"div\"));\n    wrap.appendChild(dom);\n    wrap.style.cssText = \"position: fixed; left: -10000px; top: 10px\";\n    let sel = getSelection(), range = document.createRange();\n    range.selectNodeContents(dom);\n    // Done because IE will fire a selectionchange moving the selection\n    // to its start when removeAllRanges is called and the editor still\n    // has focus (which will mess up the editor's selection state).\n    view.dom.blur();\n    sel.removeAllRanges();\n    sel.addRange(range);\n    setTimeout(() => {\n        if (wrap.parentNode)\n            wrap.parentNode.removeChild(wrap);\n        view.focus();\n    }, 50);\n}\n// This is very crude, but unfortunately both these browsers _pretend_\n// that they have a clipboard API—all the objects and methods are\n// there, they just don't work, and they are hard to test.\nconst brokenClipboardAPI = (ie && ie_version < 15) ||\n    (ios && webkit_version < 604);\nhandlers.copy = editHandlers.cut = (view, _event) => {\n    let event = _event;\n    let sel = view.state.selection, cut = event.type == \"cut\";\n    if (sel.empty)\n        return;\n    // IE and Edge's clipboard interface is completely broken\n    let data = brokenClipboardAPI ? null : event.clipboardData;\n    let slice = sel.content(), { dom, text } = serializeForClipboard(view, slice);\n    if (data) {\n        event.preventDefault();\n        data.clearData();\n        data.setData(\"text/html\", dom.innerHTML);\n        data.setData(\"text/plain\", text);\n    }\n    else {\n        captureCopy(view, dom);\n    }\n    if (cut)\n        view.dispatch(view.state.tr.deleteSelection().scrollIntoView().setMeta(\"uiEvent\", \"cut\"));\n};\nfunction sliceSingleNode(slice) {\n    return slice.openStart == 0 && slice.openEnd == 0 && slice.content.childCount == 1 ? slice.content.firstChild : null;\n}\nfunction capturePaste(view, event) {\n    if (!view.dom.parentNode)\n        return;\n    let plainText = view.input.shiftKey || view.state.selection.$from.parent.type.spec.code;\n    let target = view.dom.parentNode.appendChild(document.createElement(plainText ? \"textarea\" : \"div\"));\n    if (!plainText)\n        target.contentEditable = \"true\";\n    target.style.cssText = \"position: fixed; left: -10000px; top: 10px\";\n    target.focus();\n    let plain = view.input.shiftKey && view.input.lastKeyCode != 45;\n    setTimeout(() => {\n        view.focus();\n        if (target.parentNode)\n            target.parentNode.removeChild(target);\n        if (plainText)\n            doPaste(view, target.value, null, plain, event);\n        else\n            doPaste(view, target.textContent, target.innerHTML, plain, event);\n    }, 50);\n}\nfunction doPaste(view, text, html, preferPlain, event) {\n    let slice = parseFromClipboard(view, text, html, preferPlain, view.state.selection.$from);\n    if (view.someProp(\"handlePaste\", f => f(view, event, slice || Slice.empty)))\n        return true;\n    if (!slice)\n        return false;\n    let singleNode = sliceSingleNode(slice);\n    let tr = singleNode\n        ? view.state.tr.replaceSelectionWith(singleNode, preferPlain)\n        : view.state.tr.replaceSelection(slice);\n    view.dispatch(tr.scrollIntoView().setMeta(\"paste\", true).setMeta(\"uiEvent\", \"paste\"));\n    return true;\n}\nfunction getText(clipboardData) {\n    let text = clipboardData.getData(\"text/plain\") || clipboardData.getData(\"Text\");\n    if (text)\n        return text;\n    let uris = clipboardData.getData(\"text/uri-list\");\n    return uris ? uris.replace(/\\r?\\n/g, \" \") : \"\";\n}\neditHandlers.paste = (view, _event) => {\n    let event = _event;\n    // Handling paste from JavaScript during composition is very poorly\n    // handled by browsers, so as a dodgy but preferable kludge, we just\n    // let the browser do its native thing there, except on Android,\n    // where the editor is almost always composing.\n    if (view.composing && !android)\n        return;\n    let data = brokenClipboardAPI ? null : event.clipboardData;\n    let plain = view.input.shiftKey && view.input.lastKeyCode != 45;\n    if (data && doPaste(view, getText(data), data.getData(\"text/html\"), plain, event))\n        event.preventDefault();\n    else\n        capturePaste(view, event);\n};\nclass Dragging {\n    constructor(slice, move, node) {\n        this.slice = slice;\n        this.move = move;\n        this.node = node;\n    }\n}\nconst dragCopyModifier = mac ? \"altKey\" : \"ctrlKey\";\nhandlers.dragstart = (view, _event) => {\n    let event = _event;\n    let mouseDown = view.input.mouseDown;\n    if (mouseDown)\n        mouseDown.done();\n    if (!event.dataTransfer)\n        return;\n    let sel = view.state.selection;\n    let pos = sel.empty ? null : view.posAtCoords(eventCoords(event));\n    let node;\n    if (pos && pos.pos >= sel.from && pos.pos <= (sel instanceof NodeSelection ? sel.to - 1 : sel.to)) ;\n    else if (mouseDown && mouseDown.mightDrag) {\n        node = NodeSelection.create(view.state.doc, mouseDown.mightDrag.pos);\n    }\n    else if (event.target && event.target.nodeType == 1) {\n        let desc = view.docView.nearestDesc(event.target, true);\n        if (desc && desc.node.type.spec.draggable && desc != view.docView)\n            node = NodeSelection.create(view.state.doc, desc.posBefore);\n    }\n    let slice = (node || view.state.selection).content(), { dom, text } = serializeForClipboard(view, slice);\n    event.dataTransfer.clearData();\n    event.dataTransfer.setData(brokenClipboardAPI ? \"Text\" : \"text/html\", dom.innerHTML);\n    // See https://github.com/ProseMirror/prosemirror/issues/1156\n    event.dataTransfer.effectAllowed = \"copyMove\";\n    if (!brokenClipboardAPI)\n        event.dataTransfer.setData(\"text/plain\", text);\n    view.dragging = new Dragging(slice, !event[dragCopyModifier], node);\n};\nhandlers.dragend = view => {\n    let dragging = view.dragging;\n    window.setTimeout(() => {\n        if (view.dragging == dragging)\n            view.dragging = null;\n    }, 50);\n};\neditHandlers.dragover = editHandlers.dragenter = (_, e) => e.preventDefault();\neditHandlers.drop = (view, _event) => {\n    let event = _event;\n    let dragging = view.dragging;\n    view.dragging = null;\n    if (!event.dataTransfer)\n        return;\n    let eventPos = view.posAtCoords(eventCoords(event));\n    if (!eventPos)\n        return;\n    let $mouse = view.state.doc.resolve(eventPos.pos);\n    let slice = dragging && dragging.slice;\n    if (slice) {\n        view.someProp(\"transformPasted\", f => { slice = f(slice, view); });\n    }\n    else {\n        slice = parseFromClipboard(view, getText(event.dataTransfer), brokenClipboardAPI ? null : event.dataTransfer.getData(\"text/html\"), false, $mouse);\n    }\n    let move = !!(dragging && !event[dragCopyModifier]);\n    if (view.someProp(\"handleDrop\", f => f(view, event, slice || Slice.empty, move))) {\n        event.preventDefault();\n        return;\n    }\n    if (!slice)\n        return;\n    event.preventDefault();\n    let insertPos = slice ? dropPoint(view.state.doc, $mouse.pos, slice) : $mouse.pos;\n    if (insertPos == null)\n        insertPos = $mouse.pos;\n    let tr = view.state.tr;\n    if (move) {\n        let { node } = dragging;\n        if (node)\n            node.replace(tr);\n        else\n            tr.deleteSelection();\n    }\n    let pos = tr.mapping.map(insertPos);\n    let isNode = slice.openStart == 0 && slice.openEnd == 0 && slice.content.childCount == 1;\n    let beforeInsert = tr.doc;\n    if (isNode)\n        tr.replaceRangeWith(pos, pos, slice.content.firstChild);\n    else\n        tr.replaceRange(pos, pos, slice);\n    if (tr.doc.eq(beforeInsert))\n        return;\n    let $pos = tr.doc.resolve(pos);\n    if (isNode && NodeSelection.isSelectable(slice.content.firstChild) &&\n        $pos.nodeAfter && $pos.nodeAfter.sameMarkup(slice.content.firstChild)) {\n        tr.setSelection(new NodeSelection($pos));\n    }\n    else {\n        let end = tr.mapping.map(insertPos);\n        tr.mapping.maps[tr.mapping.maps.length - 1].forEach((_from, _to, _newFrom, newTo) => end = newTo);\n        tr.setSelection(selectionBetween(view, $pos, tr.doc.resolve(end)));\n    }\n    view.focus();\n    view.dispatch(tr.setMeta(\"uiEvent\", \"drop\"));\n};\nhandlers.focus = view => {\n    view.input.lastFocus = Date.now();\n    if (!view.focused) {\n        view.domObserver.stop();\n        view.dom.classList.add(\"ProseMirror-focused\");\n        view.domObserver.start();\n        view.focused = true;\n        setTimeout(() => {\n            if (view.docView && view.hasFocus() && !view.domObserver.currentSelection.eq(view.domSelectionRange()))\n                selectionToDOM(view);\n        }, 20);\n    }\n};\nhandlers.blur = (view, _event) => {\n    let event = _event;\n    if (view.focused) {\n        view.domObserver.stop();\n        view.dom.classList.remove(\"ProseMirror-focused\");\n        view.domObserver.start();\n        if (event.relatedTarget && view.dom.contains(event.relatedTarget))\n            view.domObserver.currentSelection.clear();\n        view.focused = false;\n    }\n};\nhandlers.beforeinput = (view, _event) => {\n    let event = _event;\n    // We should probably do more with beforeinput events, but support\n    // is so spotty that I'm still waiting to see where they are going.\n    // Very specific hack to deal with backspace sometimes failing on\n    // Chrome Android when after an uneditable node.\n    if (chrome && android && event.inputType == \"deleteContentBackward\") {\n        view.domObserver.flushSoon();\n        let { domChangeCount } = view.input;\n        setTimeout(() => {\n            if (view.input.domChangeCount != domChangeCount)\n                return; // Event already had some effect\n            // This bug tends to close the virtual keyboard, so we refocus\n            view.dom.blur();\n            view.focus();\n            if (view.someProp(\"handleKeyDown\", f => f(view, keyEvent(8, \"Backspace\"))))\n                return;\n            let { $cursor } = view.state.selection;\n            // Crude approximation of backspace behavior when no command handled it\n            if ($cursor && $cursor.pos > 0)\n                view.dispatch(view.state.tr.delete($cursor.pos - 1, $cursor.pos).scrollIntoView());\n        }, 50);\n    }\n};\n// Make sure all handlers get registered\nfor (let prop in editHandlers)\n    handlers[prop] = editHandlers[prop];\n\nfunction compareObjs(a, b) {\n    if (a == b)\n        return true;\n    for (let p in a)\n        if (a[p] !== b[p])\n            return false;\n    for (let p in b)\n        if (!(p in a))\n            return false;\n    return true;\n}\nclass WidgetType {\n    constructor(toDOM, spec) {\n        this.toDOM = toDOM;\n        this.spec = spec || noSpec;\n        this.side = this.spec.side || 0;\n    }\n    map(mapping, span, offset, oldOffset) {\n        let { pos, deleted } = mapping.mapResult(span.from + oldOffset, this.side < 0 ? -1 : 1);\n        return deleted ? null : new Decoration(pos - offset, pos - offset, this);\n    }\n    valid() { return true; }\n    eq(other) {\n        return this == other ||\n            (other instanceof WidgetType &&\n                (this.spec.key && this.spec.key == other.spec.key ||\n                    this.toDOM == other.toDOM && compareObjs(this.spec, other.spec)));\n    }\n    destroy(node) {\n        if (this.spec.destroy)\n            this.spec.destroy(node);\n    }\n}\nclass InlineType {\n    constructor(attrs, spec) {\n        this.attrs = attrs;\n        this.spec = spec || noSpec;\n    }\n    map(mapping, span, offset, oldOffset) {\n        let from = mapping.map(span.from + oldOffset, this.spec.inclusiveStart ? -1 : 1) - offset;\n        let to = mapping.map(span.to + oldOffset, this.spec.inclusiveEnd ? 1 : -1) - offset;\n        return from >= to ? null : new Decoration(from, to, this);\n    }\n    valid(_, span) { return span.from < span.to; }\n    eq(other) {\n        return this == other ||\n            (other instanceof InlineType && compareObjs(this.attrs, other.attrs) &&\n                compareObjs(this.spec, other.spec));\n    }\n    static is(span) { return span.type instanceof InlineType; }\n    destroy() { }\n}\nclass NodeType {\n    constructor(attrs, spec) {\n        this.attrs = attrs;\n        this.spec = spec || noSpec;\n    }\n    map(mapping, span, offset, oldOffset) {\n        let from = mapping.mapResult(span.from + oldOffset, 1);\n        if (from.deleted)\n            return null;\n        let to = mapping.mapResult(span.to + oldOffset, -1);\n        if (to.deleted || to.pos <= from.pos)\n            return null;\n        return new Decoration(from.pos - offset, to.pos - offset, this);\n    }\n    valid(node, span) {\n        let { index, offset } = node.content.findIndex(span.from), child;\n        return offset == span.from && !(child = node.child(index)).isText && offset + child.nodeSize == span.to;\n    }\n    eq(other) {\n        return this == other ||\n            (other instanceof NodeType && compareObjs(this.attrs, other.attrs) &&\n                compareObjs(this.spec, other.spec));\n    }\n    destroy() { }\n}\n/**\nDecoration objects can be provided to the view through the\n[`decorations` prop](https://prosemirror.net/docs/ref/#view.EditorProps.decorations). They come in\nseveral variants—see the static members of this class for details.\n*/\nclass Decoration {\n    /**\n    @internal\n    */\n    constructor(\n    /**\n    The start position of the decoration.\n    */\n    from, \n    /**\n    The end position. Will be the same as `from` for [widget\n    decorations](https://prosemirror.net/docs/ref/#view.Decoration^widget).\n    */\n    to, \n    /**\n    @internal\n    */\n    type) {\n        this.from = from;\n        this.to = to;\n        this.type = type;\n    }\n    /**\n    @internal\n    */\n    copy(from, to) {\n        return new Decoration(from, to, this.type);\n    }\n    /**\n    @internal\n    */\n    eq(other, offset = 0) {\n        return this.type.eq(other.type) && this.from + offset == other.from && this.to + offset == other.to;\n    }\n    /**\n    @internal\n    */\n    map(mapping, offset, oldOffset) {\n        return this.type.map(mapping, this, offset, oldOffset);\n    }\n    /**\n    Creates a widget decoration, which is a DOM node that's shown in\n    the document at the given position. It is recommended that you\n    delay rendering the widget by passing a function that will be\n    called when the widget is actually drawn in a view, but you can\n    also directly pass a DOM node. `getPos` can be used to find the\n    widget's current document position.\n    */\n    static widget(pos, toDOM, spec) {\n        return new Decoration(pos, pos, new WidgetType(toDOM, spec));\n    }\n    /**\n    Creates an inline decoration, which adds the given attributes to\n    each inline node between `from` and `to`.\n    */\n    static inline(from, to, attrs, spec) {\n        return new Decoration(from, to, new InlineType(attrs, spec));\n    }\n    /**\n    Creates a node decoration. `from` and `to` should point precisely\n    before and after a node in the document. That node, and only that\n    node, will receive the given attributes.\n    */\n    static node(from, to, attrs, spec) {\n        return new Decoration(from, to, new NodeType(attrs, spec));\n    }\n    /**\n    The spec provided when creating this decoration. Can be useful\n    if you've stored extra information in that object.\n    */\n    get spec() { return this.type.spec; }\n    /**\n    @internal\n    */\n    get inline() { return this.type instanceof InlineType; }\n    /**\n    @internal\n    */\n    get widget() { return this.type instanceof WidgetType; }\n}\nconst none = [], noSpec = {};\n/**\nA collection of [decorations](https://prosemirror.net/docs/ref/#view.Decoration), organized in such\na way that the drawing algorithm can efficiently use and compare\nthem. This is a persistent data structure—it is not modified,\nupdates create a new value.\n*/\nclass DecorationSet {\n    /**\n    @internal\n    */\n    constructor(local, children) {\n        this.local = local.length ? local : none;\n        this.children = children.length ? children : none;\n    }\n    /**\n    Create a set of decorations, using the structure of the given\n    document. This will consume (modify) the `decorations` array, so\n    you must make a copy if you want need to preserve that.\n    */\n    static create(doc, decorations) {\n        return decorations.length ? buildTree(decorations, doc, 0, noSpec) : empty;\n    }\n    /**\n    Find all decorations in this set which touch the given range\n    (including decorations that start or end directly at the\n    boundaries) and match the given predicate on their spec. When\n    `start` and `end` are omitted, all decorations in the set are\n    considered. When `predicate` isn't given, all decorations are\n    assumed to match.\n    */\n    find(start, end, predicate) {\n        let result = [];\n        this.findInner(start == null ? 0 : start, end == null ? 1e9 : end, result, 0, predicate);\n        return result;\n    }\n    findInner(start, end, result, offset, predicate) {\n        for (let i = 0; i < this.local.length; i++) {\n            let span = this.local[i];\n            if (span.from <= end && span.to >= start && (!predicate || predicate(span.spec)))\n                result.push(span.copy(span.from + offset, span.to + offset));\n        }\n        for (let i = 0; i < this.children.length; i += 3) {\n            if (this.children[i] < end && this.children[i + 1] > start) {\n                let childOff = this.children[i] + 1;\n                this.children[i + 2].findInner(start - childOff, end - childOff, result, offset + childOff, predicate);\n            }\n        }\n    }\n    /**\n    Map the set of decorations in response to a change in the\n    document.\n    */\n    map(mapping, doc, options) {\n        if (this == empty || mapping.maps.length == 0)\n            return this;\n        return this.mapInner(mapping, doc, 0, 0, options || noSpec);\n    }\n    /**\n    @internal\n    */\n    mapInner(mapping, node, offset, oldOffset, options) {\n        let newLocal;\n        for (let i = 0; i < this.local.length; i++) {\n            let mapped = this.local[i].map(mapping, offset, oldOffset);\n            if (mapped && mapped.type.valid(node, mapped))\n                (newLocal || (newLocal = [])).push(mapped);\n            else if (options.onRemove)\n                options.onRemove(this.local[i].spec);\n        }\n        if (this.children.length)\n            return mapChildren(this.children, newLocal || [], mapping, node, offset, oldOffset, options);\n        else\n            return newLocal ? new DecorationSet(newLocal.sort(byPos), none) : empty;\n    }\n    /**\n    Add the given array of decorations to the ones in the set,\n    producing a new set. Consumes the `decorations` array. Needs\n    access to the current document to create the appropriate tree\n    structure.\n    */\n    add(doc, decorations) {\n        if (!decorations.length)\n            return this;\n        if (this == empty)\n            return DecorationSet.create(doc, decorations);\n        return this.addInner(doc, decorations, 0);\n    }\n    addInner(doc, decorations, offset) {\n        let children, childIndex = 0;\n        doc.forEach((childNode, childOffset) => {\n            let baseOffset = childOffset + offset, found;\n            if (!(found = takeSpansForNode(decorations, childNode, baseOffset)))\n                return;\n            if (!children)\n                children = this.children.slice();\n            while (childIndex < children.length && children[childIndex] < childOffset)\n                childIndex += 3;\n            if (children[childIndex] == childOffset)\n                children[childIndex + 2] = children[childIndex + 2].addInner(childNode, found, baseOffset + 1);\n            else\n                children.splice(childIndex, 0, childOffset, childOffset + childNode.nodeSize, buildTree(found, childNode, baseOffset + 1, noSpec));\n            childIndex += 3;\n        });\n        let local = moveSpans(childIndex ? withoutNulls(decorations) : decorations, -offset);\n        for (let i = 0; i < local.length; i++)\n            if (!local[i].type.valid(doc, local[i]))\n                local.splice(i--, 1);\n        return new DecorationSet(local.length ? this.local.concat(local).sort(byPos) : this.local, children || this.children);\n    }\n    /**\n    Create a new set that contains the decorations in this set, minus\n    the ones in the given array.\n    */\n    remove(decorations) {\n        if (decorations.length == 0 || this == empty)\n            return this;\n        return this.removeInner(decorations, 0);\n    }\n    removeInner(decorations, offset) {\n        let children = this.children, local = this.local;\n        for (let i = 0; i < children.length; i += 3) {\n            let found;\n            let from = children[i] + offset, to = children[i + 1] + offset;\n            for (let j = 0, span; j < decorations.length; j++)\n                if (span = decorations[j]) {\n                    if (span.from > from && span.to < to) {\n                        decorations[j] = null;\n                        (found || (found = [])).push(span);\n                    }\n                }\n            if (!found)\n                continue;\n            if (children == this.children)\n                children = this.children.slice();\n            let removed = children[i + 2].removeInner(found, from + 1);\n            if (removed != empty) {\n                children[i + 2] = removed;\n            }\n            else {\n                children.splice(i, 3);\n                i -= 3;\n            }\n        }\n        if (local.length)\n            for (let i = 0, span; i < decorations.length; i++)\n                if (span = decorations[i]) {\n                    for (let j = 0; j < local.length; j++)\n                        if (local[j].eq(span, offset)) {\n                            if (local == this.local)\n                                local = this.local.slice();\n                            local.splice(j--, 1);\n                        }\n                }\n        if (children == this.children && local == this.local)\n            return this;\n        return local.length || children.length ? new DecorationSet(local, children) : empty;\n    }\n    forChild(offset, node) {\n        if (this == empty)\n            return this;\n        if (node.isLeaf)\n            return DecorationSet.empty;\n        let child, local;\n        for (let i = 0; i < this.children.length; i += 3)\n            if (this.children[i] >= offset) {\n                if (this.children[i] == offset)\n                    child = this.children[i + 2];\n                break;\n            }\n        let start = offset + 1, end = start + node.content.size;\n        for (let i = 0; i < this.local.length; i++) {\n            let dec = this.local[i];\n            if (dec.from < end && dec.to > start && (dec.type instanceof InlineType)) {\n                let from = Math.max(start, dec.from) - start, to = Math.min(end, dec.to) - start;\n                if (from < to)\n                    (local || (local = [])).push(dec.copy(from, to));\n            }\n        }\n        if (local) {\n            let localSet = new DecorationSet(local.sort(byPos), none);\n            return child ? new DecorationGroup([localSet, child]) : localSet;\n        }\n        return child || empty;\n    }\n    /**\n    @internal\n    */\n    eq(other) {\n        if (this == other)\n            return true;\n        if (!(other instanceof DecorationSet) ||\n            this.local.length != other.local.length ||\n            this.children.length != other.children.length)\n            return false;\n        for (let i = 0; i < this.local.length; i++)\n            if (!this.local[i].eq(other.local[i]))\n                return false;\n        for (let i = 0; i < this.children.length; i += 3)\n            if (this.children[i] != other.children[i] ||\n                this.children[i + 1] != other.children[i + 1] ||\n                !this.children[i + 2].eq(other.children[i + 2]))\n                return false;\n        return true;\n    }\n    /**\n    @internal\n    */\n    locals(node) {\n        return removeOverlap(this.localsInner(node));\n    }\n    /**\n    @internal\n    */\n    localsInner(node) {\n        if (this == empty)\n            return none;\n        if (node.inlineContent || !this.local.some(InlineType.is))\n            return this.local;\n        let result = [];\n        for (let i = 0; i < this.local.length; i++) {\n            if (!(this.local[i].type instanceof InlineType))\n                result.push(this.local[i]);\n        }\n        return result;\n    }\n}\n/**\nThe empty set of decorations.\n*/\nDecorationSet.empty = new DecorationSet([], []);\n/**\n@internal\n*/\nDecorationSet.removeOverlap = removeOverlap;\nconst empty = DecorationSet.empty;\n// An abstraction that allows the code dealing with decorations to\n// treat multiple DecorationSet objects as if it were a single object\n// with (a subset of) the same interface.\nclass DecorationGroup {\n    constructor(members) {\n        this.members = members;\n    }\n    map(mapping, doc) {\n        const mappedDecos = this.members.map(member => member.map(mapping, doc, noSpec));\n        return DecorationGroup.from(mappedDecos);\n    }\n    forChild(offset, child) {\n        if (child.isLeaf)\n            return DecorationSet.empty;\n        let found = [];\n        for (let i = 0; i < this.members.length; i++) {\n            let result = this.members[i].forChild(offset, child);\n            if (result == empty)\n                continue;\n            if (result instanceof DecorationGroup)\n                found = found.concat(result.members);\n            else\n                found.push(result);\n        }\n        return DecorationGroup.from(found);\n    }\n    eq(other) {\n        if (!(other instanceof DecorationGroup) ||\n            other.members.length != this.members.length)\n            return false;\n        for (let i = 0; i < this.members.length; i++)\n            if (!this.members[i].eq(other.members[i]))\n                return false;\n        return true;\n    }\n    locals(node) {\n        let result, sorted = true;\n        for (let i = 0; i < this.members.length; i++) {\n            let locals = this.members[i].localsInner(node);\n            if (!locals.length)\n                continue;\n            if (!result) {\n                result = locals;\n            }\n            else {\n                if (sorted) {\n                    result = result.slice();\n                    sorted = false;\n                }\n                for (let j = 0; j < locals.length; j++)\n                    result.push(locals[j]);\n            }\n        }\n        return result ? removeOverlap(sorted ? result : result.sort(byPos)) : none;\n    }\n    // Create a group for the given array of decoration sets, or return\n    // a single set when possible.\n    static from(members) {\n        switch (members.length) {\n            case 0: return empty;\n            case 1: return members[0];\n            default: return new DecorationGroup(members.every(m => m instanceof DecorationSet) ? members :\n                members.reduce((r, m) => r.concat(m instanceof DecorationSet ? m : m.members), []));\n        }\n    }\n}\nfunction mapChildren(oldChildren, newLocal, mapping, node, offset, oldOffset, options) {\n    let children = oldChildren.slice();\n    // Mark the children that are directly touched by changes, and\n    // move those that are after the changes.\n    for (let i = 0, baseOffset = oldOffset; i < mapping.maps.length; i++) {\n        let moved = 0;\n        mapping.maps[i].forEach((oldStart, oldEnd, newStart, newEnd) => {\n            let dSize = (newEnd - newStart) - (oldEnd - oldStart);\n            for (let i = 0; i < children.length; i += 3) {\n                let end = children[i + 1];\n                if (end < 0 || oldStart > end + baseOffset - moved)\n                    continue;\n                let start = children[i] + baseOffset - moved;\n                if (oldEnd >= start) {\n                    children[i + 1] = oldStart <= start ? -2 : -1;\n                }\n                else if (oldStart >= baseOffset && dSize) {\n                    children[i] += dSize;\n                    children[i + 1] += dSize;\n                }\n            }\n            moved += dSize;\n        });\n        baseOffset = mapping.maps[i].map(baseOffset, -1);\n    }\n    // Find the child nodes that still correspond to a single node,\n    // recursively call mapInner on them and update their positions.\n    let mustRebuild = false;\n    for (let i = 0; i < children.length; i += 3)\n        if (children[i + 1] < 0) { // Touched nodes\n            if (children[i + 1] == -2) {\n                mustRebuild = true;\n                children[i + 1] = -1;\n                continue;\n            }\n            let from = mapping.map(oldChildren[i] + oldOffset), fromLocal = from - offset;\n            if (fromLocal < 0 || fromLocal >= node.content.size) {\n                mustRebuild = true;\n                continue;\n            }\n            // Must read oldChildren because children was tagged with -1\n            let to = mapping.map(oldChildren[i + 1] + oldOffset, -1), toLocal = to - offset;\n            let { index, offset: childOffset } = node.content.findIndex(fromLocal);\n            let childNode = node.maybeChild(index);\n            if (childNode && childOffset == fromLocal && childOffset + childNode.nodeSize == toLocal) {\n                let mapped = children[i + 2]\n                    .mapInner(mapping, childNode, from + 1, oldChildren[i] + oldOffset + 1, options);\n                if (mapped != empty) {\n                    children[i] = fromLocal;\n                    children[i + 1] = toLocal;\n                    children[i + 2] = mapped;\n                }\n                else {\n                    children[i + 1] = -2;\n                    mustRebuild = true;\n                }\n            }\n            else {\n                mustRebuild = true;\n            }\n        }\n    // Remaining children must be collected and rebuilt into the appropriate structure\n    if (mustRebuild) {\n        let decorations = mapAndGatherRemainingDecorations(children, oldChildren, newLocal, mapping, offset, oldOffset, options);\n        let built = buildTree(decorations, node, 0, options);\n        newLocal = built.local;\n        for (let i = 0; i < children.length; i += 3)\n            if (children[i + 1] < 0) {\n                children.splice(i, 3);\n                i -= 3;\n            }\n        for (let i = 0, j = 0; i < built.children.length; i += 3) {\n            let from = built.children[i];\n            while (j < children.length && children[j] < from)\n                j += 3;\n            children.splice(j, 0, built.children[i], built.children[i + 1], built.children[i + 2]);\n        }\n    }\n    return new DecorationSet(newLocal.sort(byPos), children);\n}\nfunction moveSpans(spans, offset) {\n    if (!offset || !spans.length)\n        return spans;\n    let result = [];\n    for (let i = 0; i < spans.length; i++) {\n        let span = spans[i];\n        result.push(new Decoration(span.from + offset, span.to + offset, span.type));\n    }\n    return result;\n}\nfunction mapAndGatherRemainingDecorations(children, oldChildren, decorations, mapping, offset, oldOffset, options) {\n    // Gather all decorations from the remaining marked children\n    function gather(set, oldOffset) {\n        for (let i = 0; i < set.local.length; i++) {\n            let mapped = set.local[i].map(mapping, offset, oldOffset);\n            if (mapped)\n                decorations.push(mapped);\n            else if (options.onRemove)\n                options.onRemove(set.local[i].spec);\n        }\n        for (let i = 0; i < set.children.length; i += 3)\n            gather(set.children[i + 2], set.children[i] + oldOffset + 1);\n    }\n    for (let i = 0; i < children.length; i += 3)\n        if (children[i + 1] == -1)\n            gather(children[i + 2], oldChildren[i] + oldOffset + 1);\n    return decorations;\n}\nfunction takeSpansForNode(spans, node, offset) {\n    if (node.isLeaf)\n        return null;\n    let end = offset + node.nodeSize, found = null;\n    for (let i = 0, span; i < spans.length; i++) {\n        if ((span = spans[i]) && span.from > offset && span.to < end) {\n            (found || (found = [])).push(span);\n            spans[i] = null;\n        }\n    }\n    return found;\n}\nfunction withoutNulls(array) {\n    let result = [];\n    for (let i = 0; i < array.length; i++)\n        if (array[i] != null)\n            result.push(array[i]);\n    return result;\n}\n// Build up a tree that corresponds to a set of decorations. `offset`\n// is a base offset that should be subtracted from the `from` and `to`\n// positions in the spans (so that we don't have to allocate new spans\n// for recursive calls).\nfunction buildTree(spans, node, offset, options) {\n    let children = [], hasNulls = false;\n    node.forEach((childNode, localStart) => {\n        let found = takeSpansForNode(spans, childNode, localStart + offset);\n        if (found) {\n            hasNulls = true;\n            let subtree = buildTree(found, childNode, offset + localStart + 1, options);\n            if (subtree != empty)\n                children.push(localStart, localStart + childNode.nodeSize, subtree);\n        }\n    });\n    let locals = moveSpans(hasNulls ? withoutNulls(spans) : spans, -offset).sort(byPos);\n    for (let i = 0; i < locals.length; i++)\n        if (!locals[i].type.valid(node, locals[i])) {\n            if (options.onRemove)\n                options.onRemove(locals[i].spec);\n            locals.splice(i--, 1);\n        }\n    return locals.length || children.length ? new DecorationSet(locals, children) : empty;\n}\n// Used to sort decorations so that ones with a low start position\n// come first, and within a set with the same start position, those\n// with an smaller end position come first.\nfunction byPos(a, b) {\n    return a.from - b.from || a.to - b.to;\n}\n// Scan a sorted array of decorations for partially overlapping spans,\n// and split those so that only fully overlapping spans are left (to\n// make subsequent rendering easier). Will return the input array if\n// no partially overlapping spans are found (the common case).\nfunction removeOverlap(spans) {\n    let working = spans;\n    for (let i = 0; i < working.length - 1; i++) {\n        let span = working[i];\n        if (span.from != span.to)\n            for (let j = i + 1; j < working.length; j++) {\n                let next = working[j];\n                if (next.from == span.from) {\n                    if (next.to != span.to) {\n                        if (working == spans)\n                            working = spans.slice();\n                        // Followed by a partially overlapping larger span. Split that\n                        // span.\n                        working[j] = next.copy(next.from, span.to);\n                        insertAhead(working, j + 1, next.copy(span.to, next.to));\n                    }\n                    continue;\n                }\n                else {\n                    if (next.from < span.to) {\n                        if (working == spans)\n                            working = spans.slice();\n                        // The end of this one overlaps with a subsequent span. Split\n                        // this one.\n                        working[i] = span.copy(span.from, next.from);\n                        insertAhead(working, j, span.copy(next.from, span.to));\n                    }\n                    break;\n                }\n            }\n    }\n    return working;\n}\nfunction insertAhead(array, i, deco) {\n    while (i < array.length && byPos(deco, array[i]) > 0)\n        i++;\n    array.splice(i, 0, deco);\n}\n// Get the decorations associated with the current props of a view.\nfunction viewDecorations(view) {\n    let found = [];\n    view.someProp(\"decorations\", f => {\n        let result = f(view.state);\n        if (result && result != empty)\n            found.push(result);\n    });\n    if (view.cursorWrapper)\n        found.push(DecorationSet.create(view.state.doc, [view.cursorWrapper.deco]));\n    return DecorationGroup.from(found);\n}\n\nconst observeOptions = {\n    childList: true,\n    characterData: true,\n    characterDataOldValue: true,\n    attributes: true,\n    attributeOldValue: true,\n    subtree: true\n};\n// IE11 has very broken mutation observers, so we also listen to DOMCharacterDataModified\nconst useCharData = ie && ie_version <= 11;\nclass SelectionState {\n    constructor() {\n        this.anchorNode = null;\n        this.anchorOffset = 0;\n        this.focusNode = null;\n        this.focusOffset = 0;\n    }\n    set(sel) {\n        this.anchorNode = sel.anchorNode;\n        this.anchorOffset = sel.anchorOffset;\n        this.focusNode = sel.focusNode;\n        this.focusOffset = sel.focusOffset;\n    }\n    clear() {\n        this.anchorNode = this.focusNode = null;\n    }\n    eq(sel) {\n        return sel.anchorNode == this.anchorNode && sel.anchorOffset == this.anchorOffset &&\n            sel.focusNode == this.focusNode && sel.focusOffset == this.focusOffset;\n    }\n}\nclass DOMObserver {\n    constructor(view, handleDOMChange) {\n        this.view = view;\n        this.handleDOMChange = handleDOMChange;\n        this.queue = [];\n        this.flushingSoon = -1;\n        this.observer = null;\n        this.currentSelection = new SelectionState;\n        this.onCharData = null;\n        this.suppressingSelectionUpdates = false;\n        this.observer = window.MutationObserver &&\n            new window.MutationObserver(mutations => {\n                for (let i = 0; i < mutations.length; i++)\n                    this.queue.push(mutations[i]);\n                // IE11 will sometimes (on backspacing out a single character\n                // text node after a BR node) call the observer callback\n                // before actually updating the DOM, which will cause\n                // ProseMirror to miss the change (see #930)\n                if (ie && ie_version <= 11 && mutations.some(m => m.type == \"childList\" && m.removedNodes.length ||\n                    m.type == \"characterData\" && m.oldValue.length > m.target.nodeValue.length))\n                    this.flushSoon();\n                else\n                    this.flush();\n            });\n        if (useCharData) {\n            this.onCharData = e => {\n                this.queue.push({ target: e.target, type: \"characterData\", oldValue: e.prevValue });\n                this.flushSoon();\n            };\n        }\n        this.onSelectionChange = this.onSelectionChange.bind(this);\n    }\n    flushSoon() {\n        if (this.flushingSoon < 0)\n            this.flushingSoon = window.setTimeout(() => { this.flushingSoon = -1; this.flush(); }, 20);\n    }\n    forceFlush() {\n        if (this.flushingSoon > -1) {\n            window.clearTimeout(this.flushingSoon);\n            this.flushingSoon = -1;\n            this.flush();\n        }\n    }\n    start() {\n        if (this.observer) {\n            this.observer.takeRecords();\n            this.observer.observe(this.view.dom, observeOptions);\n        }\n        if (this.onCharData)\n            this.view.dom.addEventListener(\"DOMCharacterDataModified\", this.onCharData);\n        this.connectSelection();\n    }\n    stop() {\n        if (this.observer) {\n            let take = this.observer.takeRecords();\n            if (take.length) {\n                for (let i = 0; i < take.length; i++)\n                    this.queue.push(take[i]);\n                window.setTimeout(() => this.flush(), 20);\n            }\n            this.observer.disconnect();\n        }\n        if (this.onCharData)\n            this.view.dom.removeEventListener(\"DOMCharacterDataModified\", this.onCharData);\n        this.disconnectSelection();\n    }\n    connectSelection() {\n        this.view.dom.ownerDocument.addEventListener(\"selectionchange\", this.onSelectionChange);\n    }\n    disconnectSelection() {\n        this.view.dom.ownerDocument.removeEventListener(\"selectionchange\", this.onSelectionChange);\n    }\n    suppressSelectionUpdates() {\n        this.suppressingSelectionUpdates = true;\n        setTimeout(() => this.suppressingSelectionUpdates = false, 50);\n    }\n    onSelectionChange() {\n        if (!hasFocusAndSelection(this.view))\n            return;\n        if (this.suppressingSelectionUpdates)\n            return selectionToDOM(this.view);\n        // Deletions on IE11 fire their events in the wrong order, giving\n        // us a selection change event before the DOM changes are\n        // reported.\n        if (ie && ie_version <= 11 && !this.view.state.selection.empty) {\n            let sel = this.view.domSelectionRange();\n            // Selection.isCollapsed isn't reliable on IE\n            if (sel.focusNode && isEquivalentPosition(sel.focusNode, sel.focusOffset, sel.anchorNode, sel.anchorOffset))\n                return this.flushSoon();\n        }\n        this.flush();\n    }\n    setCurSelection() {\n        this.currentSelection.set(this.view.domSelectionRange());\n    }\n    ignoreSelectionChange(sel) {\n        if (!sel.focusNode)\n            return true;\n        let ancestors = new Set, container;\n        for (let scan = sel.focusNode; scan; scan = parentNode(scan))\n            ancestors.add(scan);\n        for (let scan = sel.anchorNode; scan; scan = parentNode(scan))\n            if (ancestors.has(scan)) {\n                container = scan;\n                break;\n            }\n        let desc = container && this.view.docView.nearestDesc(container);\n        if (desc && desc.ignoreMutation({\n            type: \"selection\",\n            target: container.nodeType == 3 ? container.parentNode : container\n        })) {\n            this.setCurSelection();\n            return true;\n        }\n    }\n    pendingRecords() {\n        if (this.observer)\n            for (let mut of this.observer.takeRecords())\n                this.queue.push(mut);\n        return this.queue;\n    }\n    flush() {\n        let { view } = this;\n        if (!view.docView || this.flushingSoon > -1)\n            return;\n        let mutations = this.pendingRecords();\n        if (mutations.length)\n            this.queue = [];\n        let sel = view.domSelectionRange();\n        let newSel = !this.suppressingSelectionUpdates && !this.currentSelection.eq(sel) && hasFocusAndSelection(view) && !this.ignoreSelectionChange(sel);\n        let from = -1, to = -1, typeOver = false, added = [];\n        if (view.editable) {\n            for (let i = 0; i < mutations.length; i++) {\n                let result = this.registerMutation(mutations[i], added);\n                if (result) {\n                    from = from < 0 ? result.from : Math.min(result.from, from);\n                    to = to < 0 ? result.to : Math.max(result.to, to);\n                    if (result.typeOver)\n                        typeOver = true;\n                }\n            }\n        }\n        if (gecko && added.length > 1) {\n            let brs = added.filter(n => n.nodeName == \"BR\");\n            if (brs.length == 2) {\n                let a = brs[0], b = brs[1];\n                if (a.parentNode && a.parentNode.parentNode == b.parentNode)\n                    b.remove();\n                else\n                    a.remove();\n            }\n        }\n        let readSel = null;\n        // If it looks like the browser has reset the selection to the\n        // start of the document after focus, restore the selection from\n        // the state\n        if (from < 0 && newSel && view.input.lastFocus > Date.now() - 200 &&\n            Math.max(view.input.lastTouch, view.input.lastClick.time) < Date.now() - 300 &&\n            selectionCollapsed(sel) && (readSel = selectionFromDOM(view)) &&\n            readSel.eq(Selection.near(view.state.doc.resolve(0), 1))) {\n            view.input.lastFocus = 0;\n            selectionToDOM(view);\n            this.currentSelection.set(sel);\n            view.scrollToSelection();\n        }\n        else if (from > -1 || newSel) {\n            if (from > -1) {\n                view.docView.markDirty(from, to);\n                checkCSS(view);\n            }\n            this.handleDOMChange(from, to, typeOver, added);\n            if (view.docView && view.docView.dirty)\n                view.updateState(view.state);\n            else if (!this.currentSelection.eq(sel))\n                selectionToDOM(view);\n            this.currentSelection.set(sel);\n        }\n    }\n    registerMutation(mut, added) {\n        // Ignore mutations inside nodes that were already noted as inserted\n        if (added.indexOf(mut.target) > -1)\n            return null;\n        let desc = this.view.docView.nearestDesc(mut.target);\n        if (mut.type == \"attributes\" &&\n            (desc == this.view.docView || mut.attributeName == \"contenteditable\" ||\n                // Firefox sometimes fires spurious events for null/empty styles\n                (mut.attributeName == \"style\" && !mut.oldValue && !mut.target.getAttribute(\"style\"))))\n            return null;\n        if (!desc || desc.ignoreMutation(mut))\n            return null;\n        if (mut.type == \"childList\") {\n            for (let i = 0; i < mut.addedNodes.length; i++)\n                added.push(mut.addedNodes[i]);\n            if (desc.contentDOM && desc.contentDOM != desc.dom && !desc.contentDOM.contains(mut.target))\n                return { from: desc.posBefore, to: desc.posAfter };\n            let prev = mut.previousSibling, next = mut.nextSibling;\n            if (ie && ie_version <= 11 && mut.addedNodes.length) {\n                // IE11 gives us incorrect next/prev siblings for some\n                // insertions, so if there are added nodes, recompute those\n                for (let i = 0; i < mut.addedNodes.length; i++) {\n                    let { previousSibling, nextSibling } = mut.addedNodes[i];\n                    if (!previousSibling || Array.prototype.indexOf.call(mut.addedNodes, previousSibling) < 0)\n                        prev = previousSibling;\n                    if (!nextSibling || Array.prototype.indexOf.call(mut.addedNodes, nextSibling) < 0)\n                        next = nextSibling;\n                }\n            }\n            let fromOffset = prev && prev.parentNode == mut.target\n                ? domIndex(prev) + 1 : 0;\n            let from = desc.localPosFromDOM(mut.target, fromOffset, -1);\n            let toOffset = next && next.parentNode == mut.target\n                ? domIndex(next) : mut.target.childNodes.length;\n            let to = desc.localPosFromDOM(mut.target, toOffset, 1);\n            return { from, to };\n        }\n        else if (mut.type == \"attributes\") {\n            return { from: desc.posAtStart - desc.border, to: desc.posAtEnd + desc.border };\n        }\n        else { // \"characterData\"\n            return {\n                from: desc.posAtStart,\n                to: desc.posAtEnd,\n                // An event was generated for a text change that didn't change\n                // any text. Mark the dom change to fall back to assuming the\n                // selection was typed over with an identical value if it can't\n                // find another change.\n                typeOver: mut.target.nodeValue == mut.oldValue\n            };\n        }\n    }\n}\nlet cssChecked = new WeakMap();\nlet cssCheckWarned = false;\nfunction checkCSS(view) {\n    if (cssChecked.has(view))\n        return;\n    cssChecked.set(view, null);\n    if (['normal', 'nowrap', 'pre-line'].indexOf(getComputedStyle(view.dom).whiteSpace) !== -1) {\n        view.requiresGeckoHackNode = gecko;\n        if (cssCheckWarned)\n            return;\n        console[\"warn\"](\"ProseMirror expects the CSS white-space property to be set, preferably to 'pre-wrap'. It is recommended to load style/prosemirror.css from the prosemirror-view package.\");\n        cssCheckWarned = true;\n    }\n}\nfunction rangeToSelectionRange(view, range) {\n    let anchorNode = range.startContainer, anchorOffset = range.startOffset;\n    let focusNode = range.endContainer, focusOffset = range.endOffset;\n    let currentAnchor = view.domAtPos(view.state.selection.anchor);\n    // Since such a range doesn't distinguish between anchor and head,\n    // use a heuristic that flips it around if its end matches the\n    // current anchor.\n    if (isEquivalentPosition(currentAnchor.node, currentAnchor.offset, focusNode, focusOffset))\n        [anchorNode, anchorOffset, focusNode, focusOffset] = [focusNode, focusOffset, anchorNode, anchorOffset];\n    return { anchorNode, anchorOffset, focusNode, focusOffset };\n}\n// Used to work around a Safari Selection/shadow DOM bug\n// Based on https://github.com/codemirror/dev/issues/414 fix\nfunction safariShadowSelectionRange(view, selection) {\n    if (selection.getComposedRanges) {\n        let range = selection.getComposedRanges(view.root)[0];\n        if (range)\n            return rangeToSelectionRange(view, range);\n    }\n    let found;\n    function read(event) {\n        event.preventDefault();\n        event.stopImmediatePropagation();\n        found = event.getTargetRanges()[0];\n    }\n    // Because Safari (at least in 2018-2022) doesn't provide regular\n    // access to the selection inside a shadowRoot, we have to perform a\n    // ridiculous hack to get at it—using `execCommand` to trigger a\n    // `beforeInput` event so that we can read the target range from the\n    // event.\n    view.dom.addEventListener(\"beforeinput\", read, true);\n    document.execCommand(\"indent\");\n    view.dom.removeEventListener(\"beforeinput\", read, true);\n    return found ? rangeToSelectionRange(view, found) : null;\n}\n\n// Note that all referencing and parsing is done with the\n// start-of-operation selection and document, since that's the one\n// that the DOM represents. If any changes came in in the meantime,\n// the modification is mapped over those before it is applied, in\n// readDOMChange.\nfunction parseBetween(view, from_, to_) {\n    let { node: parent, fromOffset, toOffset, from, to } = view.docView.parseRange(from_, to_);\n    let domSel = view.domSelectionRange();\n    let find;\n    let anchor = domSel.anchorNode;\n    if (anchor && view.dom.contains(anchor.nodeType == 1 ? anchor : anchor.parentNode)) {\n        find = [{ node: anchor, offset: domSel.anchorOffset }];\n        if (!selectionCollapsed(domSel))\n            find.push({ node: domSel.focusNode, offset: domSel.focusOffset });\n    }\n    // Work around issue in Chrome where backspacing sometimes replaces\n    // the deleted content with a random BR node (issues #799, #831)\n    if (chrome && view.input.lastKeyCode === 8) {\n        for (let off = toOffset; off > fromOffset; off--) {\n            let node = parent.childNodes[off - 1], desc = node.pmViewDesc;\n            if (node.nodeName == \"BR\" && !desc) {\n                toOffset = off;\n                break;\n            }\n            if (!desc || desc.size)\n                break;\n        }\n    }\n    let startDoc = view.state.doc;\n    let parser = view.someProp(\"domParser\") || DOMParser.fromSchema(view.state.schema);\n    let $from = startDoc.resolve(from);\n    let sel = null, doc = parser.parse(parent, {\n        topNode: $from.parent,\n        topMatch: $from.parent.contentMatchAt($from.index()),\n        topOpen: true,\n        from: fromOffset,\n        to: toOffset,\n        preserveWhitespace: $from.parent.type.whitespace == \"pre\" ? \"full\" : true,\n        findPositions: find,\n        ruleFromNode,\n        context: $from\n    });\n    if (find && find[0].pos != null) {\n        let anchor = find[0].pos, head = find[1] && find[1].pos;\n        if (head == null)\n            head = anchor;\n        sel = { anchor: anchor + from, head: head + from };\n    }\n    return { doc, sel, from, to };\n}\nfunction ruleFromNode(dom) {\n    let desc = dom.pmViewDesc;\n    if (desc) {\n        return desc.parseRule();\n    }\n    else if (dom.nodeName == \"BR\" && dom.parentNode) {\n        // Safari replaces the list item or table cell with a BR\n        // directly in the list node (?!) if you delete the last\n        // character in a list item or table cell (#708, #862)\n        if (safari && /^(ul|ol)$/i.test(dom.parentNode.nodeName)) {\n            let skip = document.createElement(\"div\");\n            skip.appendChild(document.createElement(\"li\"));\n            return { skip };\n        }\n        else if (dom.parentNode.lastChild == dom || safari && /^(tr|table)$/i.test(dom.parentNode.nodeName)) {\n            return { ignore: true };\n        }\n    }\n    else if (dom.nodeName == \"IMG\" && dom.getAttribute(\"mark-placeholder\")) {\n        return { ignore: true };\n    }\n    return null;\n}\nconst isInline = /^(a|abbr|acronym|b|bd[io]|big|br|button|cite|code|data(list)?|del|dfn|em|i|ins|kbd|label|map|mark|meter|output|q|ruby|s|samp|small|span|strong|su[bp]|time|u|tt|var)$/i;\nfunction readDOMChange(view, from, to, typeOver, addedNodes) {\n    let compositionID = view.input.compositionPendingChanges || (view.composing ? view.input.compositionID : 0);\n    view.input.compositionPendingChanges = 0;\n    if (from < 0) {\n        let origin = view.input.lastSelectionTime > Date.now() - 50 ? view.input.lastSelectionOrigin : null;\n        let newSel = selectionFromDOM(view, origin);\n        if (newSel && !view.state.selection.eq(newSel)) {\n            if (chrome && android &&\n                view.input.lastKeyCode === 13 && Date.now() - 100 < view.input.lastKeyCodeTime &&\n                view.someProp(\"handleKeyDown\", f => f(view, keyEvent(13, \"Enter\"))))\n                return;\n            let tr = view.state.tr.setSelection(newSel);\n            if (origin == \"pointer\")\n                tr.setMeta(\"pointer\", true);\n            else if (origin == \"key\")\n                tr.scrollIntoView();\n            if (compositionID)\n                tr.setMeta(\"composition\", compositionID);\n            view.dispatch(tr);\n        }\n        return;\n    }\n    let $before = view.state.doc.resolve(from);\n    let shared = $before.sharedDepth(to);\n    from = $before.before(shared + 1);\n    to = view.state.doc.resolve(to).after(shared + 1);\n    let sel = view.state.selection;\n    let parse = parseBetween(view, from, to);\n    let doc = view.state.doc, compare = doc.slice(parse.from, parse.to);\n    let preferredPos, preferredSide;\n    // Prefer anchoring to end when Backspace is pressed\n    if (view.input.lastKeyCode === 8 && Date.now() - 100 < view.input.lastKeyCodeTime) {\n        preferredPos = view.state.selection.to;\n        preferredSide = \"end\";\n    }\n    else {\n        preferredPos = view.state.selection.from;\n        preferredSide = \"start\";\n    }\n    view.input.lastKeyCode = null;\n    let change = findDiff(compare.content, parse.doc.content, parse.from, preferredPos, preferredSide);\n    if ((ios && view.input.lastIOSEnter > Date.now() - 225 || android) &&\n        addedNodes.some(n => n.nodeType == 1 && !isInline.test(n.nodeName)) &&\n        (!change || change.endA >= change.endB) &&\n        view.someProp(\"handleKeyDown\", f => f(view, keyEvent(13, \"Enter\")))) {\n        view.input.lastIOSEnter = 0;\n        return;\n    }\n    if (!change) {\n        if (typeOver && sel instanceof TextSelection && !sel.empty && sel.$head.sameParent(sel.$anchor) &&\n            !view.composing && !(parse.sel && parse.sel.anchor != parse.sel.head)) {\n            change = { start: sel.from, endA: sel.to, endB: sel.to };\n        }\n        else {\n            if (parse.sel) {\n                let sel = resolveSelection(view, view.state.doc, parse.sel);\n                if (sel && !sel.eq(view.state.selection)) {\n                    let tr = view.state.tr.setSelection(sel);\n                    if (compositionID)\n                        tr.setMeta(\"composition\", compositionID);\n                    view.dispatch(tr);\n                }\n            }\n            return;\n        }\n    }\n    view.input.domChangeCount++;\n    // Handle the case where overwriting a selection by typing matches\n    // the start or end of the selected content, creating a change\n    // that's smaller than what was actually overwritten.\n    if (view.state.selection.from < view.state.selection.to &&\n        change.start == change.endB &&\n        view.state.selection instanceof TextSelection) {\n        if (change.start > view.state.selection.from && change.start <= view.state.selection.from + 2 &&\n            view.state.selection.from >= parse.from) {\n            change.start = view.state.selection.from;\n        }\n        else if (change.endA < view.state.selection.to && change.endA >= view.state.selection.to - 2 &&\n            view.state.selection.to <= parse.to) {\n            change.endB += (view.state.selection.to - change.endA);\n            change.endA = view.state.selection.to;\n        }\n    }\n    // IE11 will insert a non-breaking space _ahead_ of the space after\n    // the cursor space when adding a space before another space. When\n    // that happened, adjust the change to cover the space instead.\n    if (ie && ie_version <= 11 && change.endB == change.start + 1 &&\n        change.endA == change.start && change.start > parse.from &&\n        parse.doc.textBetween(change.start - parse.from - 1, change.start - parse.from + 1) == \" \\u00a0\") {\n        change.start--;\n        change.endA--;\n        change.endB--;\n    }\n    let $from = parse.doc.resolveNoCache(change.start - parse.from);\n    let $to = parse.doc.resolveNoCache(change.endB - parse.from);\n    let $fromA = doc.resolve(change.start);\n    let inlineChange = $from.sameParent($to) && $from.parent.inlineContent && $fromA.end() >= change.endA;\n    let nextSel;\n    // If this looks like the effect of pressing Enter (or was recorded\n    // as being an iOS enter press), just dispatch an Enter key instead.\n    if (((ios && view.input.lastIOSEnter > Date.now() - 225 &&\n        (!inlineChange || addedNodes.some(n => n.nodeName == \"DIV\" || n.nodeName == \"P\"))) ||\n        (!inlineChange && $from.pos < parse.doc.content.size && !$from.sameParent($to) &&\n            (nextSel = Selection.findFrom(parse.doc.resolve($from.pos + 1), 1, true)) &&\n            nextSel.head == $to.pos)) &&\n        view.someProp(\"handleKeyDown\", f => f(view, keyEvent(13, \"Enter\")))) {\n        view.input.lastIOSEnter = 0;\n        return;\n    }\n    // Same for backspace\n    if (view.state.selection.anchor > change.start &&\n        looksLikeBackspace(doc, change.start, change.endA, $from, $to) &&\n        view.someProp(\"handleKeyDown\", f => f(view, keyEvent(8, \"Backspace\")))) {\n        if (android && chrome)\n            view.domObserver.suppressSelectionUpdates(); // #820\n        return;\n    }\n    // Chrome Android will occasionally, during composition, delete the\n    // entire composition and then immediately insert it again. This is\n    // used to detect that situation.\n    if (chrome && android && change.endB == change.start)\n        view.input.lastAndroidDelete = Date.now();\n    // This tries to detect Android virtual keyboard\n    // enter-and-pick-suggestion action. That sometimes (see issue\n    // #1059) first fires a DOM mutation, before moving the selection to\n    // the newly created block. And then, because ProseMirror cleans up\n    // the DOM selection, it gives up moving the selection entirely,\n    // leaving the cursor in the wrong place. When that happens, we drop\n    // the new paragraph from the initial change, and fire a simulated\n    // enter key afterwards.\n    if (android && !inlineChange && $from.start() != $to.start() && $to.parentOffset == 0 && $from.depth == $to.depth &&\n        parse.sel && parse.sel.anchor == parse.sel.head && parse.sel.head == change.endA) {\n        change.endB -= 2;\n        $to = parse.doc.resolveNoCache(change.endB - parse.from);\n        setTimeout(() => {\n            view.someProp(\"handleKeyDown\", function (f) { return f(view, keyEvent(13, \"Enter\")); });\n        }, 20);\n    }\n    let chFrom = change.start, chTo = change.endA;\n    let tr, storedMarks, markChange;\n    if (inlineChange) {\n        if ($from.pos == $to.pos) { // Deletion\n            // IE11 sometimes weirdly moves the DOM selection around after\n            // backspacing out the first element in a textblock\n            if (ie && ie_version <= 11 && $from.parentOffset == 0) {\n                view.domObserver.suppressSelectionUpdates();\n                setTimeout(() => selectionToDOM(view), 20);\n            }\n            tr = view.state.tr.delete(chFrom, chTo);\n            storedMarks = doc.resolve(change.start).marksAcross(doc.resolve(change.endA));\n        }\n        else if ( // Adding or removing a mark\n        change.endA == change.endB &&\n            (markChange = isMarkChange($from.parent.content.cut($from.parentOffset, $to.parentOffset), $fromA.parent.content.cut($fromA.parentOffset, change.endA - $fromA.start())))) {\n            tr = view.state.tr;\n            if (markChange.type == \"add\")\n                tr.addMark(chFrom, chTo, markChange.mark);\n            else\n                tr.removeMark(chFrom, chTo, markChange.mark);\n        }\n        else if ($from.parent.child($from.index()).isText && $from.index() == $to.index() - ($to.textOffset ? 0 : 1)) {\n            // Both positions in the same text node -- simply insert text\n            let text = $from.parent.textBetween($from.parentOffset, $to.parentOffset);\n            if (view.someProp(\"handleTextInput\", f => f(view, chFrom, chTo, text)))\n                return;\n            tr = view.state.tr.insertText(text, chFrom, chTo);\n        }\n    }\n    if (!tr)\n        tr = view.state.tr.replace(chFrom, chTo, parse.doc.slice(change.start - parse.from, change.endB - parse.from));\n    if (parse.sel) {\n        let sel = resolveSelection(view, tr.doc, parse.sel);\n        // Chrome Android will sometimes, during composition, report the\n        // selection in the wrong place. If it looks like that is\n        // happening, don't update the selection.\n        // Edge just doesn't move the cursor forward when you start typing\n        // in an empty block or between br nodes.\n        if (sel && !(chrome && android && view.composing && sel.empty &&\n            (change.start != change.endB || view.input.lastAndroidDelete < Date.now() - 100) &&\n            (sel.head == chFrom || sel.head == tr.mapping.map(chTo) - 1) ||\n            ie && sel.empty && sel.head == chFrom))\n            tr.setSelection(sel);\n    }\n    if (storedMarks)\n        tr.ensureMarks(storedMarks);\n    if (compositionID)\n        tr.setMeta(\"composition\", compositionID);\n    view.dispatch(tr.scrollIntoView());\n}\nfunction resolveSelection(view, doc, parsedSel) {\n    if (Math.max(parsedSel.anchor, parsedSel.head) > doc.content.size)\n        return null;\n    return selectionBetween(view, doc.resolve(parsedSel.anchor), doc.resolve(parsedSel.head));\n}\n// Given two same-length, non-empty fragments of inline content,\n// determine whether the first could be created from the second by\n// removing or adding a single mark type.\nfunction isMarkChange(cur, prev) {\n    let curMarks = cur.firstChild.marks, prevMarks = prev.firstChild.marks;\n    let added = curMarks, removed = prevMarks, type, mark, update;\n    for (let i = 0; i < prevMarks.length; i++)\n        added = prevMarks[i].removeFromSet(added);\n    for (let i = 0; i < curMarks.length; i++)\n        removed = curMarks[i].removeFromSet(removed);\n    if (added.length == 1 && removed.length == 0) {\n        mark = added[0];\n        type = \"add\";\n        update = (node) => node.mark(mark.addToSet(node.marks));\n    }\n    else if (added.length == 0 && removed.length == 1) {\n        mark = removed[0];\n        type = \"remove\";\n        update = (node) => node.mark(mark.removeFromSet(node.marks));\n    }\n    else {\n        return null;\n    }\n    let updated = [];\n    for (let i = 0; i < prev.childCount; i++)\n        updated.push(update(prev.child(i)));\n    if (Fragment.from(updated).eq(cur))\n        return { mark, type };\n}\nfunction looksLikeBackspace(old, start, end, $newStart, $newEnd) {\n    if ( // The content must have shrunk\n    end - start <= $newEnd.pos - $newStart.pos ||\n        // newEnd must point directly at or after the end of the block that newStart points into\n        skipClosingAndOpening($newStart, true, false) < $newEnd.pos)\n        return false;\n    let $start = old.resolve(start);\n    // Handle the case where, rather than joining blocks, the change just removed an entire block\n    if (!$newStart.parent.isTextblock) {\n        let after = $start.nodeAfter;\n        return after != null && end == start + after.nodeSize;\n    }\n    // Start must be at the end of a block\n    if ($start.parentOffset < $start.parent.content.size || !$start.parent.isTextblock)\n        return false;\n    let $next = old.resolve(skipClosingAndOpening($start, true, true));\n    // The next textblock must start before end and end near it\n    if (!$next.parent.isTextblock || $next.pos > end ||\n        skipClosingAndOpening($next, true, false) < end)\n        return false;\n    // The fragments after the join point must match\n    return $newStart.parent.content.cut($newStart.parentOffset).eq($next.parent.content);\n}\nfunction skipClosingAndOpening($pos, fromEnd, mayOpen) {\n    let depth = $pos.depth, end = fromEnd ? $pos.end() : $pos.pos;\n    while (depth > 0 && (fromEnd || $pos.indexAfter(depth) == $pos.node(depth).childCount)) {\n        depth--;\n        end++;\n        fromEnd = false;\n    }\n    if (mayOpen) {\n        let next = $pos.node(depth).maybeChild($pos.indexAfter(depth));\n        while (next && !next.isLeaf) {\n            next = next.firstChild;\n            end++;\n        }\n    }\n    return end;\n}\nfunction findDiff(a, b, pos, preferredPos, preferredSide) {\n    let start = a.findDiffStart(b, pos);\n    if (start == null)\n        return null;\n    let { a: endA, b: endB } = a.findDiffEnd(b, pos + a.size, pos + b.size);\n    if (preferredSide == \"end\") {\n        let adjust = Math.max(0, start - Math.min(endA, endB));\n        preferredPos -= endA + adjust - start;\n    }\n    if (endA < start && a.size < b.size) {\n        let move = preferredPos <= start && preferredPos >= endA ? start - preferredPos : 0;\n        start -= move;\n        if (start && start < b.size && isSurrogatePair(b.textBetween(start - 1, start + 1)))\n            start += move ? 1 : -1;\n        endB = start + (endB - endA);\n        endA = start;\n    }\n    else if (endB < start) {\n        let move = preferredPos <= start && preferredPos >= endB ? start - preferredPos : 0;\n        start -= move;\n        if (start && start < a.size && isSurrogatePair(a.textBetween(start - 1, start + 1)))\n            start += move ? 1 : -1;\n        endA = start + (endA - endB);\n        endB = start;\n    }\n    return { start, endA, endB };\n}\nfunction isSurrogatePair(str) {\n    if (str.length != 2)\n        return false;\n    let a = str.charCodeAt(0), b = str.charCodeAt(1);\n    return a >= 0xDC00 && a <= 0xDFFF && b >= 0xD800 && b <= 0xDBFF;\n}\n\n/**\n@internal\n*/\nconst __serializeForClipboard = serializeForClipboard;\n/**\n@internal\n*/\nconst __parseFromClipboard = parseFromClipboard;\n/**\n@internal\n*/\nconst __endComposition = endComposition;\n/**\nAn editor view manages the DOM structure that represents an\neditable document. Its state and behavior are determined by its\n[props](https://prosemirror.net/docs/ref/#view.DirectEditorProps).\n*/\nclass EditorView {\n    /**\n    Create a view. `place` may be a DOM node that the editor should\n    be appended to, a function that will place it into the document,\n    or an object whose `mount` property holds the node to use as the\n    document container. If it is `null`, the editor will not be\n    added to the document.\n    */\n    constructor(place, props) {\n        this._root = null;\n        /**\n        @internal\n        */\n        this.focused = false;\n        /**\n        Kludge used to work around a Chrome bug @internal\n        */\n        this.trackWrites = null;\n        this.mounted = false;\n        /**\n        @internal\n        */\n        this.markCursor = null;\n        /**\n        @internal\n        */\n        this.cursorWrapper = null;\n        /**\n        @internal\n        */\n        this.lastSelectedViewDesc = undefined;\n        /**\n        @internal\n        */\n        this.input = new InputState;\n        this.prevDirectPlugins = [];\n        this.pluginViews = [];\n        /**\n        Holds `true` when a hack node is needed in Firefox to prevent the\n        [space is eaten issue](https://github.com/ProseMirror/prosemirror/issues/651)\n        @internal\n        */\n        this.requiresGeckoHackNode = false;\n        /**\n        When editor content is being dragged, this object contains\n        information about the dragged slice and whether it is being\n        copied or moved. At any other time, it is null.\n        */\n        this.dragging = null;\n        this._props = props;\n        this.state = props.state;\n        this.directPlugins = props.plugins || [];\n        this.directPlugins.forEach(checkStateComponent);\n        this.dispatch = this.dispatch.bind(this);\n        this.dom = (place && place.mount) || document.createElement(\"div\");\n        if (place) {\n            if (place.appendChild)\n                place.appendChild(this.dom);\n            else if (typeof place == \"function\")\n                place(this.dom);\n            else if (place.mount)\n                this.mounted = true;\n        }\n        this.editable = getEditable(this);\n        updateCursorWrapper(this);\n        this.nodeViews = buildNodeViews(this);\n        this.docView = docViewDesc(this.state.doc, computeDocDeco(this), viewDecorations(this), this.dom, this);\n        this.domObserver = new DOMObserver(this, (from, to, typeOver, added) => readDOMChange(this, from, to, typeOver, added));\n        this.domObserver.start();\n        initInput(this);\n        this.updatePluginViews();\n    }\n    /**\n    Holds `true` when a\n    [composition](https://w3c.github.io/uievents/#events-compositionevents)\n    is active.\n    */\n    get composing() { return this.input.composing; }\n    /**\n    The view's current [props](https://prosemirror.net/docs/ref/#view.EditorProps).\n    */\n    get props() {\n        if (this._props.state != this.state) {\n            let prev = this._props;\n            this._props = {};\n            for (let name in prev)\n                this._props[name] = prev[name];\n            this._props.state = this.state;\n        }\n        return this._props;\n    }\n    /**\n    Update the view's props. Will immediately cause an update to\n    the DOM.\n    */\n    update(props) {\n        if (props.handleDOMEvents != this._props.handleDOMEvents)\n            ensureListeners(this);\n        let prevProps = this._props;\n        this._props = props;\n        if (props.plugins) {\n            props.plugins.forEach(checkStateComponent);\n            this.directPlugins = props.plugins;\n        }\n        this.updateStateInner(props.state, prevProps);\n    }\n    /**\n    Update the view by updating existing props object with the object\n    given as argument. Equivalent to `view.update(Object.assign({},\n    view.props, props))`.\n    */\n    setProps(props) {\n        let updated = {};\n        for (let name in this._props)\n            updated[name] = this._props[name];\n        updated.state = this.state;\n        for (let name in props)\n            updated[name] = props[name];\n        this.update(updated);\n    }\n    /**\n    Update the editor's `state` prop, without touching any of the\n    other props.\n    */\n    updateState(state) {\n        this.updateStateInner(state, this._props);\n    }\n    updateStateInner(state, prevProps) {\n        var _a;\n        let prev = this.state, redraw = false, updateSel = false;\n        // When stored marks are added, stop composition, so that they can\n        // be displayed.\n        if (state.storedMarks && this.composing) {\n            clearComposition(this);\n            updateSel = true;\n        }\n        this.state = state;\n        let pluginsChanged = prev.plugins != state.plugins || this._props.plugins != prevProps.plugins;\n        if (pluginsChanged || this._props.plugins != prevProps.plugins || this._props.nodeViews != prevProps.nodeViews) {\n            let nodeViews = buildNodeViews(this);\n            if (changedNodeViews(nodeViews, this.nodeViews)) {\n                this.nodeViews = nodeViews;\n                redraw = true;\n            }\n        }\n        if (pluginsChanged || prevProps.handleDOMEvents != this._props.handleDOMEvents) {\n            ensureListeners(this);\n        }\n        this.editable = getEditable(this);\n        updateCursorWrapper(this);\n        let innerDeco = viewDecorations(this), outerDeco = computeDocDeco(this);\n        let scroll = prev.plugins != state.plugins && !prev.doc.eq(state.doc) ? \"reset\"\n            : state.scrollToSelection > prev.scrollToSelection ? \"to selection\" : \"preserve\";\n        let updateDoc = redraw || !this.docView.matchesNode(state.doc, outerDeco, innerDeco);\n        if (updateDoc || !state.selection.eq(prev.selection))\n            updateSel = true;\n        let oldScrollPos = scroll == \"preserve\" && updateSel && this.dom.style.overflowAnchor == null && storeScrollPos(this);\n        if (updateSel) {\n            this.domObserver.stop();\n            // Work around an issue in Chrome, IE, and Edge where changing\n            // the DOM around an active selection puts it into a broken\n            // state where the thing the user sees differs from the\n            // selection reported by the Selection object (#710, #973,\n            // #1011, #1013, #1035).\n            let forceSelUpdate = updateDoc && (ie || chrome) && !this.composing &&\n                !prev.selection.empty && !state.selection.empty && selectionContextChanged(prev.selection, state.selection);\n            if (updateDoc) {\n                // If the node that the selection points into is written to,\n                // Chrome sometimes starts misreporting the selection, so this\n                // tracks that and forces a selection reset when our update\n                // did write to the node.\n                let chromeKludge = chrome ? (this.trackWrites = this.domSelectionRange().focusNode) : null;\n                if (this.composing)\n                    this.input.compositionNode = findCompositionNode(this);\n                if (redraw || !this.docView.update(state.doc, outerDeco, innerDeco, this)) {\n                    this.docView.updateOuterDeco(outerDeco);\n                    this.docView.destroy();\n                    this.docView = docViewDesc(state.doc, outerDeco, innerDeco, this.dom, this);\n                }\n                if (chromeKludge && !this.trackWrites)\n                    forceSelUpdate = true;\n            }\n            // Work around for an issue where an update arriving right between\n            // a DOM selection change and the \"selectionchange\" event for it\n            // can cause a spurious DOM selection update, disrupting mouse\n            // drag selection.\n            if (forceSelUpdate ||\n                !(this.input.mouseDown && this.domObserver.currentSelection.eq(this.domSelectionRange()) &&\n                    anchorInRightPlace(this))) {\n                selectionToDOM(this, forceSelUpdate);\n            }\n            else {\n                syncNodeSelection(this, state.selection);\n                this.domObserver.setCurSelection();\n            }\n            this.domObserver.start();\n        }\n        this.updatePluginViews(prev);\n        if (((_a = this.dragging) === null || _a === void 0 ? void 0 : _a.node) && !prev.doc.eq(state.doc))\n            this.updateDraggedNode(this.dragging, prev);\n        if (scroll == \"reset\") {\n            this.dom.scrollTop = 0;\n        }\n        else if (scroll == \"to selection\") {\n            this.scrollToSelection();\n        }\n        else if (oldScrollPos) {\n            resetScrollPos(oldScrollPos);\n        }\n    }\n    /**\n    @internal\n    */\n    scrollToSelection() {\n        let startDOM = this.domSelectionRange().focusNode;\n        if (this.someProp(\"handleScrollToSelection\", f => f(this))) ;\n        else if (this.state.selection instanceof NodeSelection) {\n            let target = this.docView.domAfterPos(this.state.selection.from);\n            if (target.nodeType == 1)\n                scrollRectIntoView(this, target.getBoundingClientRect(), startDOM);\n        }\n        else {\n            scrollRectIntoView(this, this.coordsAtPos(this.state.selection.head, 1), startDOM);\n        }\n    }\n    destroyPluginViews() {\n        let view;\n        while (view = this.pluginViews.pop())\n            if (view.destroy)\n                view.destroy();\n    }\n    updatePluginViews(prevState) {\n        if (!prevState || prevState.plugins != this.state.plugins || this.directPlugins != this.prevDirectPlugins) {\n            this.prevDirectPlugins = this.directPlugins;\n            this.destroyPluginViews();\n            for (let i = 0; i < this.directPlugins.length; i++) {\n                let plugin = this.directPlugins[i];\n                if (plugin.spec.view)\n                    this.pluginViews.push(plugin.spec.view(this));\n            }\n            for (let i = 0; i < this.state.plugins.length; i++) {\n                let plugin = this.state.plugins[i];\n                if (plugin.spec.view)\n                    this.pluginViews.push(plugin.spec.view(this));\n            }\n        }\n        else {\n            for (let i = 0; i < this.pluginViews.length; i++) {\n                let pluginView = this.pluginViews[i];\n                if (pluginView.update)\n                    pluginView.update(this, prevState);\n            }\n        }\n    }\n    updateDraggedNode(dragging, prev) {\n        let sel = dragging.node, found = -1;\n        if (this.state.doc.nodeAt(sel.from) == sel.node) {\n            found = sel.from;\n        }\n        else {\n            let movedPos = sel.from + (this.state.doc.content.size - prev.doc.content.size);\n            let moved = movedPos > 0 && this.state.doc.nodeAt(movedPos);\n            if (moved == sel.node)\n                found = movedPos;\n        }\n        this.dragging = new Dragging(dragging.slice, dragging.move, found < 0 ? undefined : NodeSelection.create(this.state.doc, found));\n    }\n    someProp(propName, f) {\n        let prop = this._props && this._props[propName], value;\n        if (prop != null && (value = f ? f(prop) : prop))\n            return value;\n        for (let i = 0; i < this.directPlugins.length; i++) {\n            let prop = this.directPlugins[i].props[propName];\n            if (prop != null && (value = f ? f(prop) : prop))\n                return value;\n        }\n        let plugins = this.state.plugins;\n        if (plugins)\n            for (let i = 0; i < plugins.length; i++) {\n                let prop = plugins[i].props[propName];\n                if (prop != null && (value = f ? f(prop) : prop))\n                    return value;\n            }\n    }\n    /**\n    Query whether the view has focus.\n    */\n    hasFocus() {\n        // Work around IE not handling focus correctly if resize handles are shown.\n        // If the cursor is inside an element with resize handles, activeElement\n        // will be that element instead of this.dom.\n        if (ie) {\n            // If activeElement is within this.dom, and there are no other elements\n            // setting `contenteditable` to false in between, treat it as focused.\n            let node = this.root.activeElement;\n            if (node == this.dom)\n                return true;\n            if (!node || !this.dom.contains(node))\n                return false;\n            while (node && this.dom != node && this.dom.contains(node)) {\n                if (node.contentEditable == 'false')\n                    return false;\n                node = node.parentElement;\n            }\n            return true;\n        }\n        return this.root.activeElement == this.dom;\n    }\n    /**\n    Focus the editor.\n    */\n    focus() {\n        this.domObserver.stop();\n        if (this.editable)\n            focusPreventScroll(this.dom);\n        selectionToDOM(this);\n        this.domObserver.start();\n    }\n    /**\n    Get the document root in which the editor exists. This will\n    usually be the top-level `document`, but might be a [shadow\n    DOM](https://developer.mozilla.org/en-US/docs/Web/Web_Components/Shadow_DOM)\n    root if the editor is inside one.\n    */\n    get root() {\n        let cached = this._root;\n        if (cached == null)\n            for (let search = this.dom.parentNode; search; search = search.parentNode) {\n                if (search.nodeType == 9 || (search.nodeType == 11 && search.host)) {\n                    if (!search.getSelection)\n                        Object.getPrototypeOf(search).getSelection = () => search.ownerDocument.getSelection();\n                    return this._root = search;\n                }\n            }\n        return cached || document;\n    }\n    /**\n    When an existing editor view is moved to a new document or\n    shadow tree, call this to make it recompute its root.\n    */\n    updateRoot() {\n        this._root = null;\n    }\n    /**\n    Given a pair of viewport coordinates, return the document\n    position that corresponds to them. May return null if the given\n    coordinates aren't inside of the editor. When an object is\n    returned, its `pos` property is the position nearest to the\n    coordinates, and its `inside` property holds the position of the\n    inner node that the position falls inside of, or -1 if it is at\n    the top level, not in any node.\n    */\n    posAtCoords(coords) {\n        return posAtCoords(this, coords);\n    }\n    /**\n    Returns the viewport rectangle at a given document position.\n    `left` and `right` will be the same number, as this returns a\n    flat cursor-ish rectangle. If the position is between two things\n    that aren't directly adjacent, `side` determines which element\n    is used. When < 0, the element before the position is used,\n    otherwise the element after.\n    */\n    coordsAtPos(pos, side = 1) {\n        return coordsAtPos(this, pos, side);\n    }\n    /**\n    Find the DOM position that corresponds to the given document\n    position. When `side` is negative, find the position as close as\n    possible to the content before the position. When positive,\n    prefer positions close to the content after the position. When\n    zero, prefer as shallow a position as possible.\n    \n    Note that you should **not** mutate the editor's internal DOM,\n    only inspect it (and even that is usually not necessary).\n    */\n    domAtPos(pos, side = 0) {\n        return this.docView.domFromPos(pos, side);\n    }\n    /**\n    Find the DOM node that represents the document node after the\n    given position. May return `null` when the position doesn't point\n    in front of a node or if the node is inside an opaque node view.\n    \n    This is intended to be able to call things like\n    `getBoundingClientRect` on that DOM node. Do **not** mutate the\n    editor DOM directly, or add styling this way, since that will be\n    immediately overriden by the editor as it redraws the node.\n    */\n    nodeDOM(pos) {\n        let desc = this.docView.descAt(pos);\n        return desc ? desc.nodeDOM : null;\n    }\n    /**\n    Find the document position that corresponds to a given DOM\n    position. (Whenever possible, it is preferable to inspect the\n    document structure directly, rather than poking around in the\n    DOM, but sometimes—for example when interpreting an event\n    target—you don't have a choice.)\n    \n    The `bias` parameter can be used to influence which side of a DOM\n    node to use when the position is inside a leaf node.\n    */\n    posAtDOM(node, offset, bias = -1) {\n        let pos = this.docView.posFromDOM(node, offset, bias);\n        if (pos == null)\n            throw new RangeError(\"DOM position not inside the editor\");\n        return pos;\n    }\n    /**\n    Find out whether the selection is at the end of a textblock when\n    moving in a given direction. When, for example, given `\"left\"`,\n    it will return true if moving left from the current cursor\n    position would leave that position's parent textblock. Will apply\n    to the view's current state by default, but it is possible to\n    pass a different state.\n    */\n    endOfTextblock(dir, state) {\n        return endOfTextblock(this, state || this.state, dir);\n    }\n    /**\n    Run the editor's paste logic with the given HTML string. The\n    `event`, if given, will be passed to the\n    [`handlePaste`](https://prosemirror.net/docs/ref/#view.EditorProps.handlePaste) hook.\n    */\n    pasteHTML(html, event) {\n        return doPaste(this, \"\", html, false, event || new ClipboardEvent(\"paste\"));\n    }\n    /**\n    Run the editor's paste logic with the given plain-text input.\n    */\n    pasteText(text, event) {\n        return doPaste(this, text, null, true, event || new ClipboardEvent(\"paste\"));\n    }\n    /**\n    Removes the editor from the DOM and destroys all [node\n    views](https://prosemirror.net/docs/ref/#view.NodeView).\n    */\n    destroy() {\n        if (!this.docView)\n            return;\n        destroyInput(this);\n        this.destroyPluginViews();\n        if (this.mounted) {\n            this.docView.update(this.state.doc, [], viewDecorations(this), this);\n            this.dom.textContent = \"\";\n        }\n        else if (this.dom.parentNode) {\n            this.dom.parentNode.removeChild(this.dom);\n        }\n        this.docView.destroy();\n        this.docView = null;\n        clearReusedRange();\n    }\n    /**\n    This is true when the view has been\n    [destroyed](https://prosemirror.net/docs/ref/#view.EditorView.destroy) (and thus should not be\n    used anymore).\n    */\n    get isDestroyed() {\n        return this.docView == null;\n    }\n    /**\n    Used for testing.\n    */\n    dispatchEvent(event) {\n        return dispatchEvent(this, event);\n    }\n    /**\n    Dispatch a transaction. Will call\n    [`dispatchTransaction`](https://prosemirror.net/docs/ref/#view.DirectEditorProps.dispatchTransaction)\n    when given, and otherwise defaults to applying the transaction to\n    the current state and calling\n    [`updateState`](https://prosemirror.net/docs/ref/#view.EditorView.updateState) with the result.\n    This method is bound to the view instance, so that it can be\n    easily passed around.\n    */\n    dispatch(tr) {\n        let dispatchTransaction = this._props.dispatchTransaction;\n        if (dispatchTransaction)\n            dispatchTransaction.call(this, tr);\n        else\n            this.updateState(this.state.apply(tr));\n    }\n    /**\n    @internal\n    */\n    domSelectionRange() {\n        let sel = this.domSelection();\n        return safari && this.root.nodeType === 11 &&\n            deepActiveElement(this.dom.ownerDocument) == this.dom && safariShadowSelectionRange(this, sel) || sel;\n    }\n    /**\n    @internal\n    */\n    domSelection() {\n        return this.root.getSelection();\n    }\n}\nfunction computeDocDeco(view) {\n    let attrs = Object.create(null);\n    attrs.class = \"ProseMirror\";\n    attrs.contenteditable = String(view.editable);\n    view.someProp(\"attributes\", value => {\n        if (typeof value == \"function\")\n            value = value(view.state);\n        if (value)\n            for (let attr in value) {\n                if (attr == \"class\")\n                    attrs.class += \" \" + value[attr];\n                else if (attr == \"style\")\n                    attrs.style = (attrs.style ? attrs.style + \";\" : \"\") + value[attr];\n                else if (!attrs[attr] && attr != \"contenteditable\" && attr != \"nodeName\")\n                    attrs[attr] = String(value[attr]);\n            }\n    });\n    if (!attrs.translate)\n        attrs.translate = \"no\";\n    return [Decoration.node(0, view.state.doc.content.size, attrs)];\n}\nfunction updateCursorWrapper(view) {\n    if (view.markCursor) {\n        let dom = document.createElement(\"img\");\n        dom.className = \"ProseMirror-separator\";\n        dom.setAttribute(\"mark-placeholder\", \"true\");\n        dom.setAttribute(\"alt\", \"\");\n        view.cursorWrapper = { dom, deco: Decoration.widget(view.state.selection.head, dom, { raw: true, marks: view.markCursor }) };\n    }\n    else {\n        view.cursorWrapper = null;\n    }\n}\nfunction getEditable(view) {\n    return !view.someProp(\"editable\", value => value(view.state) === false);\n}\nfunction selectionContextChanged(sel1, sel2) {\n    let depth = Math.min(sel1.$anchor.sharedDepth(sel1.head), sel2.$anchor.sharedDepth(sel2.head));\n    return sel1.$anchor.start(depth) != sel2.$anchor.start(depth);\n}\nfunction buildNodeViews(view) {\n    let result = Object.create(null);\n    function add(obj) {\n        for (let prop in obj)\n            if (!Object.prototype.hasOwnProperty.call(result, prop))\n                result[prop] = obj[prop];\n    }\n    view.someProp(\"nodeViews\", add);\n    view.someProp(\"markViews\", add);\n    return result;\n}\nfunction changedNodeViews(a, b) {\n    let nA = 0, nB = 0;\n    for (let prop in a) {\n        if (a[prop] != b[prop])\n            return true;\n        nA++;\n    }\n    for (let _ in b)\n        nB++;\n    return nA != nB;\n}\nfunction checkStateComponent(plugin) {\n    if (plugin.spec.state || plugin.spec.filterTransaction || plugin.spec.appendTransaction)\n        throw new RangeError(\"Plugins passed directly to the view must not have a state component\");\n}\n\nexport { Decoration, DecorationSet, EditorView, __endComposition, __parseFromClipboard, __serializeForClipboard };\n","export var base = {\n  8: \"Backspace\",\n  9: \"Tab\",\n  10: \"Enter\",\n  12: \"NumLock\",\n  13: \"Enter\",\n  16: \"Shift\",\n  17: \"Control\",\n  18: \"Alt\",\n  20: \"CapsLock\",\n  27: \"Escape\",\n  32: \" \",\n  33: \"PageUp\",\n  34: \"PageDown\",\n  35: \"End\",\n  36: \"Home\",\n  37: \"ArrowLeft\",\n  38: \"ArrowUp\",\n  39: \"ArrowRight\",\n  40: \"ArrowDown\",\n  44: \"PrintScreen\",\n  45: \"Insert\",\n  46: \"Delete\",\n  59: \";\",\n  61: \"=\",\n  91: \"Meta\",\n  92: \"Meta\",\n  106: \"*\",\n  107: \"+\",\n  108: \",\",\n  109: \"-\",\n  110: \".\",\n  111: \"/\",\n  144: \"NumLock\",\n  145: \"ScrollLock\",\n  160: \"Shift\",\n  161: \"Shift\",\n  162: \"Control\",\n  163: \"Control\",\n  164: \"Alt\",\n  165: \"Alt\",\n  173: \"-\",\n  186: \";\",\n  187: \"=\",\n  188: \",\",\n  189: \"-\",\n  190: \".\",\n  191: \"/\",\n  192: \"`\",\n  219: \"[\",\n  220: \"\\\\\",\n  221: \"]\",\n  222: \"'\"\n}\n\nexport var shift = {\n  48: \")\",\n  49: \"!\",\n  50: \"@\",\n  51: \"#\",\n  52: \"$\",\n  53: \"%\",\n  54: \"^\",\n  55: \"&\",\n  56: \"*\",\n  57: \"(\",\n  59: \":\",\n  61: \"+\",\n  173: \"_\",\n  186: \":\",\n  187: \"+\",\n  188: \"<\",\n  189: \"_\",\n  190: \">\",\n  191: \"?\",\n  192: \"~\",\n  219: \"{\",\n  220: \"|\",\n  221: \"}\",\n  222: \"\\\"\"\n}\n\nvar mac = typeof navigator != \"undefined\" && /Mac/.test(navigator.platform)\nvar ie = typeof navigator != \"undefined\" && /MSIE \\d|Trident\\/(?:[7-9]|\\d{2,})\\..*rv:(\\d+)/.exec(navigator.userAgent)\n\n// Fill in the digit keys\nfor (var i = 0; i < 10; i++) base[48 + i] = base[96 + i] = String(i)\n\n// The function keys\nfor (var i = 1; i <= 24; i++) base[i + 111] = \"F\" + i\n\n// And the alphabetic keys\nfor (var i = 65; i <= 90; i++) {\n  base[i] = String.fromCharCode(i + 32)\n  shift[i] = String.fromCharCode(i)\n}\n\n// For each code that doesn't have a shift-equivalent, copy the base name\nfor (var code in base) if (!shift.hasOwnProperty(code)) shift[code] = base[code]\n\nexport function keyName(event) {\n  // On macOS, keys held with Shift and Cmd don't reflect the effect of Shift in `.key`.\n  // On IE, shift effect is never included in `.key`.\n  var ignoreKey = mac && event.metaKey && event.shiftKey && !event.ctrlKey && !event.altKey ||\n      ie && event.shiftKey && event.key && event.key.length == 1 ||\n      event.key == \"Unidentified\"\n  var name = (!ignoreKey && event.key) ||\n    (event.shiftKey ? shift : base)[event.keyCode] ||\n    event.key || \"Unidentified\"\n  // Edge sometimes produces wrong names (Issue #3)\n  if (name == \"Esc\") name = \"Escape\"\n  if (name == \"Del\") name = \"Delete\"\n  // https://developer.microsoft.com/en-us/microsoft-edge/platform/issues/8860571/\n  if (name == \"Left\") name = \"ArrowLeft\"\n  if (name == \"Up\") name = \"ArrowUp\"\n  if (name == \"Right\") name = \"ArrowRight\"\n  if (name == \"Down\") name = \"ArrowDown\"\n  return name\n}\n","import { keyName, base } from 'w3c-keyname';\nimport { Plugin } from 'prosemirror-state';\n\nconst mac = typeof navigator != \"undefined\" ? /Mac|iP(hone|[oa]d)/.test(navigator.platform) : false;\nfunction normalizeKeyName(name) {\n    let parts = name.split(/-(?!$)/), result = parts[parts.length - 1];\n    if (result == \"Space\")\n        result = \" \";\n    let alt, ctrl, shift, meta;\n    for (let i = 0; i < parts.length - 1; i++) {\n        let mod = parts[i];\n        if (/^(cmd|meta|m)$/i.test(mod))\n            meta = true;\n        else if (/^a(lt)?$/i.test(mod))\n            alt = true;\n        else if (/^(c|ctrl|control)$/i.test(mod))\n            ctrl = true;\n        else if (/^s(hift)?$/i.test(mod))\n            shift = true;\n        else if (/^mod$/i.test(mod)) {\n            if (mac)\n                meta = true;\n            else\n                ctrl = true;\n        }\n        else\n            throw new Error(\"Unrecognized modifier name: \" + mod);\n    }\n    if (alt)\n        result = \"Alt-\" + result;\n    if (ctrl)\n        result = \"Ctrl-\" + result;\n    if (meta)\n        result = \"Meta-\" + result;\n    if (shift)\n        result = \"Shift-\" + result;\n    return result;\n}\nfunction normalize(map) {\n    let copy = Object.create(null);\n    for (let prop in map)\n        copy[normalizeKeyName(prop)] = map[prop];\n    return copy;\n}\nfunction modifiers(name, event, shift = true) {\n    if (event.altKey)\n        name = \"Alt-\" + name;\n    if (event.ctrlKey)\n        name = \"Ctrl-\" + name;\n    if (event.metaKey)\n        name = \"Meta-\" + name;\n    if (shift && event.shiftKey)\n        name = \"Shift-\" + name;\n    return name;\n}\n/**\nCreate a keymap plugin for the given set of bindings.\n\nBindings should map key names to [command](https://prosemirror.net/docs/ref/#commands)-style\nfunctions, which will be called with `(EditorState, dispatch,\nEditorView)` arguments, and should return true when they've handled\nthe key. Note that the view argument isn't part of the command\nprotocol, but can be used as an escape hatch if a binding needs to\ndirectly interact with the UI.\n\nKey names may be strings like `\"Shift-Ctrl-Enter\"`—a key\nidentifier prefixed with zero or more modifiers. Key identifiers\nare based on the strings that can appear in\n[`KeyEvent.key`](https:developer.mozilla.org/en-US/docs/Web/API/KeyboardEvent/key).\nUse lowercase letters to refer to letter keys (or uppercase letters\nif you want shift to be held). You may use `\"Space\"` as an alias\nfor the `\" \"` name.\n\nModifiers can be given in any order. `Shift-` (or `s-`), `Alt-` (or\n`a-`), `Ctrl-` (or `c-` or `Control-`) and `Cmd-` (or `m-` or\n`Meta-`) are recognized. For characters that are created by holding\nshift, the `Shift-` prefix is implied, and should not be added\nexplicitly.\n\nYou can use `Mod-` as a shorthand for `Cmd-` on Mac and `Ctrl-` on\nother platforms.\n\nYou can add multiple keymap plugins to an editor. The order in\nwhich they appear determines their precedence (the ones early in\nthe array get to dispatch first).\n*/\nfunction keymap(bindings) {\n    return new Plugin({ props: { handleKeyDown: keydownHandler(bindings) } });\n}\n/**\nGiven a set of bindings (using the same format as\n[`keymap`](https://prosemirror.net/docs/ref/#keymap.keymap)), return a [keydown\nhandler](https://prosemirror.net/docs/ref/#view.EditorProps.handleKeyDown) that handles them.\n*/\nfunction keydownHandler(bindings) {\n    let map = normalize(bindings);\n    return function (view, event) {\n        let name = keyName(event), baseName, direct = map[modifiers(name, event)];\n        if (direct && direct(view.state, view.dispatch, view))\n            return true;\n        // A character key\n        if (name.length == 1 && name != \" \") {\n            if (event.shiftKey) {\n                // In case the name was already modified by shift, try looking\n                // it up without its shift modifier\n                let noShift = map[modifiers(name, event, false)];\n                if (noShift && noShift(view.state, view.dispatch, view))\n                    return true;\n            }\n            if ((event.shiftKey || event.altKey || event.metaKey || name.charCodeAt(0) > 127) &&\n                (baseName = base[event.keyCode]) && baseName != name) {\n                // Try falling back to the keyCode when there's a modifier\n                // active or the character produced isn't ASCII, and our table\n                // produces a different name from the the keyCode. See #668,\n                // #1060\n                let fromCode = map[modifiers(baseName, event)];\n                if (fromCode && fromCode(view.state, view.dispatch, view))\n                    return true;\n            }\n        }\n        return false;\n    };\n}\n\nexport { keydownHandler, keymap };\n","import { liftTarget, replaceStep, ReplaceStep, canJoin, joinPoint, canSplit, ReplaceAroundStep, findWrapping } from 'prosemirror-transform';\nimport { Slice, Fragment } from 'prosemirror-model';\nimport { NodeSelection, Selection, TextSelection, AllSelection } from 'prosemirror-state';\n\n/**\nDelete the selection, if there is one.\n*/\nconst deleteSelection = (state, dispatch) => {\n    if (state.selection.empty)\n        return false;\n    if (dispatch)\n        dispatch(state.tr.deleteSelection().scrollIntoView());\n    return true;\n};\nfunction atBlockStart(state, view) {\n    let { $cursor } = state.selection;\n    if (!$cursor || (view ? !view.endOfTextblock(\"backward\", state)\n        : $cursor.parentOffset > 0))\n        return null;\n    return $cursor;\n}\n/**\nIf the selection is empty and at the start of a textblock, try to\nreduce the distance between that block and the one before it—if\nthere's a block directly before it that can be joined, join them.\nIf not, try to move the selected block closer to the next one in\nthe document structure by lifting it out of its parent or moving it\ninto a parent of the previous block. Will use the view for accurate\n(bidi-aware) start-of-textblock detection if given.\n*/\nconst joinBackward = (state, dispatch, view) => {\n    let $cursor = atBlockStart(state, view);\n    if (!$cursor)\n        return false;\n    let $cut = findCutBefore($cursor);\n    // If there is no node before this, try to lift\n    if (!$cut) {\n        let range = $cursor.blockRange(), target = range && liftTarget(range);\n        if (target == null)\n            return false;\n        if (dispatch)\n            dispatch(state.tr.lift(range, target).scrollIntoView());\n        return true;\n    }\n    let before = $cut.nodeBefore;\n    // Apply the joining algorithm\n    if (!before.type.spec.isolating && deleteBarrier(state, $cut, dispatch))\n        return true;\n    // If the node below has no content and the node above is\n    // selectable, delete the node below and select the one above.\n    if ($cursor.parent.content.size == 0 &&\n        (textblockAt(before, \"end\") || NodeSelection.isSelectable(before))) {\n        let delStep = replaceStep(state.doc, $cursor.before(), $cursor.after(), Slice.empty);\n        if (delStep && delStep.slice.size < delStep.to - delStep.from) {\n            if (dispatch) {\n                let tr = state.tr.step(delStep);\n                tr.setSelection(textblockAt(before, \"end\") ? Selection.findFrom(tr.doc.resolve(tr.mapping.map($cut.pos, -1)), -1)\n                    : NodeSelection.create(tr.doc, $cut.pos - before.nodeSize));\n                dispatch(tr.scrollIntoView());\n            }\n            return true;\n        }\n    }\n    // If the node before is an atom, delete it\n    if (before.isAtom && $cut.depth == $cursor.depth - 1) {\n        if (dispatch)\n            dispatch(state.tr.delete($cut.pos - before.nodeSize, $cut.pos).scrollIntoView());\n        return true;\n    }\n    return false;\n};\n/**\nA more limited form of [`joinBackward`]($commands.joinBackward)\nthat only tries to join the current textblock to the one before\nit, if the cursor is at the start of a textblock.\n*/\nconst joinTextblockBackward = (state, dispatch, view) => {\n    let $cursor = atBlockStart(state, view);\n    if (!$cursor)\n        return false;\n    let $cut = findCutBefore($cursor);\n    return $cut ? joinTextblocksAround(state, $cut, dispatch) : false;\n};\n/**\nA more limited form of [`joinForward`]($commands.joinForward)\nthat only tries to join the current textblock to the one after\nit, if the cursor is at the end of a textblock.\n*/\nconst joinTextblockForward = (state, dispatch, view) => {\n    let $cursor = atBlockEnd(state, view);\n    if (!$cursor)\n        return false;\n    let $cut = findCutAfter($cursor);\n    return $cut ? joinTextblocksAround(state, $cut, dispatch) : false;\n};\nfunction joinTextblocksAround(state, $cut, dispatch) {\n    let before = $cut.nodeBefore, beforeText = before, beforePos = $cut.pos - 1;\n    for (; !beforeText.isTextblock; beforePos--) {\n        if (beforeText.type.spec.isolating)\n            return false;\n        let child = beforeText.lastChild;\n        if (!child)\n            return false;\n        beforeText = child;\n    }\n    let after = $cut.nodeAfter, afterText = after, afterPos = $cut.pos + 1;\n    for (; !afterText.isTextblock; afterPos++) {\n        if (afterText.type.spec.isolating)\n            return false;\n        let child = afterText.firstChild;\n        if (!child)\n            return false;\n        afterText = child;\n    }\n    let step = replaceStep(state.doc, beforePos, afterPos, Slice.empty);\n    if (!step || step.from != beforePos ||\n        step instanceof ReplaceStep && step.slice.size >= afterPos - beforePos)\n        return false;\n    if (dispatch) {\n        let tr = state.tr.step(step);\n        tr.setSelection(TextSelection.create(tr.doc, beforePos));\n        dispatch(tr.scrollIntoView());\n    }\n    return true;\n}\nfunction textblockAt(node, side, only = false) {\n    for (let scan = node; scan; scan = (side == \"start\" ? scan.firstChild : scan.lastChild)) {\n        if (scan.isTextblock)\n            return true;\n        if (only && scan.childCount != 1)\n            return false;\n    }\n    return false;\n}\n/**\nWhen the selection is empty and at the start of a textblock, select\nthe node before that textblock, if possible. This is intended to be\nbound to keys like backspace, after\n[`joinBackward`](https://prosemirror.net/docs/ref/#commands.joinBackward) or other deleting\ncommands, as a fall-back behavior when the schema doesn't allow\ndeletion at the selected point.\n*/\nconst selectNodeBackward = (state, dispatch, view) => {\n    let { $head, empty } = state.selection, $cut = $head;\n    if (!empty)\n        return false;\n    if ($head.parent.isTextblock) {\n        if (view ? !view.endOfTextblock(\"backward\", state) : $head.parentOffset > 0)\n            return false;\n        $cut = findCutBefore($head);\n    }\n    let node = $cut && $cut.nodeBefore;\n    if (!node || !NodeSelection.isSelectable(node))\n        return false;\n    if (dispatch)\n        dispatch(state.tr.setSelection(NodeSelection.create(state.doc, $cut.pos - node.nodeSize)).scrollIntoView());\n    return true;\n};\nfunction findCutBefore($pos) {\n    if (!$pos.parent.type.spec.isolating)\n        for (let i = $pos.depth - 1; i >= 0; i--) {\n            if ($pos.index(i) > 0)\n                return $pos.doc.resolve($pos.before(i + 1));\n            if ($pos.node(i).type.spec.isolating)\n                break;\n        }\n    return null;\n}\nfunction atBlockEnd(state, view) {\n    let { $cursor } = state.selection;\n    if (!$cursor || (view ? !view.endOfTextblock(\"forward\", state)\n        : $cursor.parentOffset < $cursor.parent.content.size))\n        return null;\n    return $cursor;\n}\n/**\nIf the selection is empty and the cursor is at the end of a\ntextblock, try to reduce or remove the boundary between that block\nand the one after it, either by joining them or by moving the other\nblock closer to this one in the tree structure. Will use the view\nfor accurate start-of-textblock detection if given.\n*/\nconst joinForward = (state, dispatch, view) => {\n    let $cursor = atBlockEnd(state, view);\n    if (!$cursor)\n        return false;\n    let $cut = findCutAfter($cursor);\n    // If there is no node after this, there's nothing to do\n    if (!$cut)\n        return false;\n    let after = $cut.nodeAfter;\n    // Try the joining algorithm\n    if (deleteBarrier(state, $cut, dispatch))\n        return true;\n    // If the node above has no content and the node below is\n    // selectable, delete the node above and select the one below.\n    if ($cursor.parent.content.size == 0 &&\n        (textblockAt(after, \"start\") || NodeSelection.isSelectable(after))) {\n        let delStep = replaceStep(state.doc, $cursor.before(), $cursor.after(), Slice.empty);\n        if (delStep && delStep.slice.size < delStep.to - delStep.from) {\n            if (dispatch) {\n                let tr = state.tr.step(delStep);\n                tr.setSelection(textblockAt(after, \"start\") ? Selection.findFrom(tr.doc.resolve(tr.mapping.map($cut.pos)), 1)\n                    : NodeSelection.create(tr.doc, tr.mapping.map($cut.pos)));\n                dispatch(tr.scrollIntoView());\n            }\n            return true;\n        }\n    }\n    // If the next node is an atom, delete it\n    if (after.isAtom && $cut.depth == $cursor.depth - 1) {\n        if (dispatch)\n            dispatch(state.tr.delete($cut.pos, $cut.pos + after.nodeSize).scrollIntoView());\n        return true;\n    }\n    return false;\n};\n/**\nWhen the selection is empty and at the end of a textblock, select\nthe node coming after that textblock, if possible. This is intended\nto be bound to keys like delete, after\n[`joinForward`](https://prosemirror.net/docs/ref/#commands.joinForward) and similar deleting\ncommands, to provide a fall-back behavior when the schema doesn't\nallow deletion at the selected point.\n*/\nconst selectNodeForward = (state, dispatch, view) => {\n    let { $head, empty } = state.selection, $cut = $head;\n    if (!empty)\n        return false;\n    if ($head.parent.isTextblock) {\n        if (view ? !view.endOfTextblock(\"forward\", state) : $head.parentOffset < $head.parent.content.size)\n            return false;\n        $cut = findCutAfter($head);\n    }\n    let node = $cut && $cut.nodeAfter;\n    if (!node || !NodeSelection.isSelectable(node))\n        return false;\n    if (dispatch)\n        dispatch(state.tr.setSelection(NodeSelection.create(state.doc, $cut.pos)).scrollIntoView());\n    return true;\n};\nfunction findCutAfter($pos) {\n    if (!$pos.parent.type.spec.isolating)\n        for (let i = $pos.depth - 1; i >= 0; i--) {\n            let parent = $pos.node(i);\n            if ($pos.index(i) + 1 < parent.childCount)\n                return $pos.doc.resolve($pos.after(i + 1));\n            if (parent.type.spec.isolating)\n                break;\n        }\n    return null;\n}\n/**\nJoin the selected block or, if there is a text selection, the\nclosest ancestor block of the selection that can be joined, with\nthe sibling above it.\n*/\nconst joinUp = (state, dispatch) => {\n    let sel = state.selection, nodeSel = sel instanceof NodeSelection, point;\n    if (nodeSel) {\n        if (sel.node.isTextblock || !canJoin(state.doc, sel.from))\n            return false;\n        point = sel.from;\n    }\n    else {\n        point = joinPoint(state.doc, sel.from, -1);\n        if (point == null)\n            return false;\n    }\n    if (dispatch) {\n        let tr = state.tr.join(point);\n        if (nodeSel)\n            tr.setSelection(NodeSelection.create(tr.doc, point - state.doc.resolve(point).nodeBefore.nodeSize));\n        dispatch(tr.scrollIntoView());\n    }\n    return true;\n};\n/**\nJoin the selected block, or the closest ancestor of the selection\nthat can be joined, with the sibling after it.\n*/\nconst joinDown = (state, dispatch) => {\n    let sel = state.selection, point;\n    if (sel instanceof NodeSelection) {\n        if (sel.node.isTextblock || !canJoin(state.doc, sel.to))\n            return false;\n        point = sel.to;\n    }\n    else {\n        point = joinPoint(state.doc, sel.to, 1);\n        if (point == null)\n            return false;\n    }\n    if (dispatch)\n        dispatch(state.tr.join(point).scrollIntoView());\n    return true;\n};\n/**\nLift the selected block, or the closest ancestor block of the\nselection that can be lifted, out of its parent node.\n*/\nconst lift = (state, dispatch) => {\n    let { $from, $to } = state.selection;\n    let range = $from.blockRange($to), target = range && liftTarget(range);\n    if (target == null)\n        return false;\n    if (dispatch)\n        dispatch(state.tr.lift(range, target).scrollIntoView());\n    return true;\n};\n/**\nIf the selection is in a node whose type has a truthy\n[`code`](https://prosemirror.net/docs/ref/#model.NodeSpec.code) property in its spec, replace the\nselection with a newline character.\n*/\nconst newlineInCode = (state, dispatch) => {\n    let { $head, $anchor } = state.selection;\n    if (!$head.parent.type.spec.code || !$head.sameParent($anchor))\n        return false;\n    if (dispatch)\n        dispatch(state.tr.insertText(\"\\n\").scrollIntoView());\n    return true;\n};\nfunction defaultBlockAt(match) {\n    for (let i = 0; i < match.edgeCount; i++) {\n        let { type } = match.edge(i);\n        if (type.isTextblock && !type.hasRequiredAttrs())\n            return type;\n    }\n    return null;\n}\n/**\nWhen the selection is in a node with a truthy\n[`code`](https://prosemirror.net/docs/ref/#model.NodeSpec.code) property in its spec, create a\ndefault block after the code block, and move the cursor there.\n*/\nconst exitCode = (state, dispatch) => {\n    let { $head, $anchor } = state.selection;\n    if (!$head.parent.type.spec.code || !$head.sameParent($anchor))\n        return false;\n    let above = $head.node(-1), after = $head.indexAfter(-1), type = defaultBlockAt(above.contentMatchAt(after));\n    if (!type || !above.canReplaceWith(after, after, type))\n        return false;\n    if (dispatch) {\n        let pos = $head.after(), tr = state.tr.replaceWith(pos, pos, type.createAndFill());\n        tr.setSelection(Selection.near(tr.doc.resolve(pos), 1));\n        dispatch(tr.scrollIntoView());\n    }\n    return true;\n};\n/**\nIf a block node is selected, create an empty paragraph before (if\nit is its parent's first child) or after it.\n*/\nconst createParagraphNear = (state, dispatch) => {\n    let sel = state.selection, { $from, $to } = sel;\n    if (sel instanceof AllSelection || $from.parent.inlineContent || $to.parent.inlineContent)\n        return false;\n    let type = defaultBlockAt($to.parent.contentMatchAt($to.indexAfter()));\n    if (!type || !type.isTextblock)\n        return false;\n    if (dispatch) {\n        let side = (!$from.parentOffset && $to.index() < $to.parent.childCount ? $from : $to).pos;\n        let tr = state.tr.insert(side, type.createAndFill());\n        tr.setSelection(TextSelection.create(tr.doc, side + 1));\n        dispatch(tr.scrollIntoView());\n    }\n    return true;\n};\n/**\nIf the cursor is in an empty textblock that can be lifted, lift the\nblock.\n*/\nconst liftEmptyBlock = (state, dispatch) => {\n    let { $cursor } = state.selection;\n    if (!$cursor || $cursor.parent.content.size)\n        return false;\n    if ($cursor.depth > 1 && $cursor.after() != $cursor.end(-1)) {\n        let before = $cursor.before();\n        if (canSplit(state.doc, before)) {\n            if (dispatch)\n                dispatch(state.tr.split(before).scrollIntoView());\n            return true;\n        }\n    }\n    let range = $cursor.blockRange(), target = range && liftTarget(range);\n    if (target == null)\n        return false;\n    if (dispatch)\n        dispatch(state.tr.lift(range, target).scrollIntoView());\n    return true;\n};\n/**\nCreate a variant of [`splitBlock`](https://prosemirror.net/docs/ref/#commands.splitBlock) that uses\na custom function to determine the type of the newly split off block.\n*/\nfunction splitBlockAs(splitNode) {\n    return (state, dispatch) => {\n        let { $from, $to } = state.selection;\n        if (state.selection instanceof NodeSelection && state.selection.node.isBlock) {\n            if (!$from.parentOffset || !canSplit(state.doc, $from.pos))\n                return false;\n            if (dispatch)\n                dispatch(state.tr.split($from.pos).scrollIntoView());\n            return true;\n        }\n        if (!$from.parent.isBlock)\n            return false;\n        if (dispatch) {\n            let atEnd = $to.parentOffset == $to.parent.content.size;\n            let tr = state.tr;\n            if (state.selection instanceof TextSelection || state.selection instanceof AllSelection)\n                tr.deleteSelection();\n            let deflt = $from.depth == 0 ? null : defaultBlockAt($from.node(-1).contentMatchAt($from.indexAfter(-1)));\n            let splitType = splitNode && splitNode($to.parent, atEnd);\n            let types = splitType ? [splitType] : atEnd && deflt ? [{ type: deflt }] : undefined;\n            let can = canSplit(tr.doc, tr.mapping.map($from.pos), 1, types);\n            if (!types && !can && canSplit(tr.doc, tr.mapping.map($from.pos), 1, deflt ? [{ type: deflt }] : undefined)) {\n                if (deflt)\n                    types = [{ type: deflt }];\n                can = true;\n            }\n            if (can) {\n                tr.split(tr.mapping.map($from.pos), 1, types);\n                if (!atEnd && !$from.parentOffset && $from.parent.type != deflt) {\n                    let first = tr.mapping.map($from.before()), $first = tr.doc.resolve(first);\n                    if (deflt && $from.node(-1).canReplaceWith($first.index(), $first.index() + 1, deflt))\n                        tr.setNodeMarkup(tr.mapping.map($from.before()), deflt);\n                }\n            }\n            dispatch(tr.scrollIntoView());\n        }\n        return true;\n    };\n}\n/**\nSplit the parent block of the selection. If the selection is a text\nselection, also delete its content.\n*/\nconst splitBlock = splitBlockAs();\n/**\nActs like [`splitBlock`](https://prosemirror.net/docs/ref/#commands.splitBlock), but without\nresetting the set of active marks at the cursor.\n*/\nconst splitBlockKeepMarks = (state, dispatch) => {\n    return splitBlock(state, dispatch && (tr => {\n        let marks = state.storedMarks || (state.selection.$to.parentOffset && state.selection.$from.marks());\n        if (marks)\n            tr.ensureMarks(marks);\n        dispatch(tr);\n    }));\n};\n/**\nMove the selection to the node wrapping the current selection, if\nany. (Will not select the document node.)\n*/\nconst selectParentNode = (state, dispatch) => {\n    let { $from, to } = state.selection, pos;\n    let same = $from.sharedDepth(to);\n    if (same == 0)\n        return false;\n    pos = $from.before(same);\n    if (dispatch)\n        dispatch(state.tr.setSelection(NodeSelection.create(state.doc, pos)));\n    return true;\n};\n/**\nSelect the whole document.\n*/\nconst selectAll = (state, dispatch) => {\n    if (dispatch)\n        dispatch(state.tr.setSelection(new AllSelection(state.doc)));\n    return true;\n};\nfunction joinMaybeClear(state, $pos, dispatch) {\n    let before = $pos.nodeBefore, after = $pos.nodeAfter, index = $pos.index();\n    if (!before || !after || !before.type.compatibleContent(after.type))\n        return false;\n    if (!before.content.size && $pos.parent.canReplace(index - 1, index)) {\n        if (dispatch)\n            dispatch(state.tr.delete($pos.pos - before.nodeSize, $pos.pos).scrollIntoView());\n        return true;\n    }\n    if (!$pos.parent.canReplace(index, index + 1) || !(after.isTextblock || canJoin(state.doc, $pos.pos)))\n        return false;\n    if (dispatch)\n        dispatch(state.tr\n            .clearIncompatible($pos.pos, before.type, before.contentMatchAt(before.childCount))\n            .join($pos.pos)\n            .scrollIntoView());\n    return true;\n}\nfunction deleteBarrier(state, $cut, dispatch) {\n    let before = $cut.nodeBefore, after = $cut.nodeAfter, conn, match;\n    if (before.type.spec.isolating || after.type.spec.isolating)\n        return false;\n    if (joinMaybeClear(state, $cut, dispatch))\n        return true;\n    let canDelAfter = $cut.parent.canReplace($cut.index(), $cut.index() + 1);\n    if (canDelAfter &&\n        (conn = (match = before.contentMatchAt(before.childCount)).findWrapping(after.type)) &&\n        match.matchType(conn[0] || after.type).validEnd) {\n        if (dispatch) {\n            let end = $cut.pos + after.nodeSize, wrap = Fragment.empty;\n            for (let i = conn.length - 1; i >= 0; i--)\n                wrap = Fragment.from(conn[i].create(null, wrap));\n            wrap = Fragment.from(before.copy(wrap));\n            let tr = state.tr.step(new ReplaceAroundStep($cut.pos - 1, end, $cut.pos, end, new Slice(wrap, 1, 0), conn.length, true));\n            let joinAt = end + 2 * conn.length;\n            if (canJoin(tr.doc, joinAt))\n                tr.join(joinAt);\n            dispatch(tr.scrollIntoView());\n        }\n        return true;\n    }\n    let selAfter = Selection.findFrom($cut, 1);\n    let range = selAfter && selAfter.$from.blockRange(selAfter.$to), target = range && liftTarget(range);\n    if (target != null && target >= $cut.depth) {\n        if (dispatch)\n            dispatch(state.tr.lift(range, target).scrollIntoView());\n        return true;\n    }\n    if (canDelAfter && textblockAt(after, \"start\", true) && textblockAt(before, \"end\")) {\n        let at = before, wrap = [];\n        for (;;) {\n            wrap.push(at);\n            if (at.isTextblock)\n                break;\n            at = at.lastChild;\n        }\n        let afterText = after, afterDepth = 1;\n        for (; !afterText.isTextblock; afterText = afterText.firstChild)\n            afterDepth++;\n        if (at.canReplace(at.childCount, at.childCount, afterText.content)) {\n            if (dispatch) {\n                let end = Fragment.empty;\n                for (let i = wrap.length - 1; i >= 0; i--)\n                    end = Fragment.from(wrap[i].copy(end));\n                let tr = state.tr.step(new ReplaceAroundStep($cut.pos - wrap.length, $cut.pos + after.nodeSize, $cut.pos + afterDepth, $cut.pos + after.nodeSize - afterDepth, new Slice(end, wrap.length, 0), 0, true));\n                dispatch(tr.scrollIntoView());\n            }\n            return true;\n        }\n    }\n    return false;\n}\nfunction selectTextblockSide(side) {\n    return function (state, dispatch) {\n        let sel = state.selection, $pos = side < 0 ? sel.$from : sel.$to;\n        let depth = $pos.depth;\n        while ($pos.node(depth).isInline) {\n            if (!depth)\n                return false;\n            depth--;\n        }\n        if (!$pos.node(depth).isTextblock)\n            return false;\n        if (dispatch)\n            dispatch(state.tr.setSelection(TextSelection.create(state.doc, side < 0 ? $pos.start(depth) : $pos.end(depth))));\n        return true;\n    };\n}\n/**\nMoves the cursor to the start of current text block.\n*/\nconst selectTextblockStart = selectTextblockSide(-1);\n/**\nMoves the cursor to the end of current text block.\n*/\nconst selectTextblockEnd = selectTextblockSide(1);\n// Parameterized commands\n/**\nWrap the selection in a node of the given type with the given\nattributes.\n*/\nfunction wrapIn(nodeType, attrs = null) {\n    return function (state, dispatch) {\n        let { $from, $to } = state.selection;\n        let range = $from.blockRange($to), wrapping = range && findWrapping(range, nodeType, attrs);\n        if (!wrapping)\n            return false;\n        if (dispatch)\n            dispatch(state.tr.wrap(range, wrapping).scrollIntoView());\n        return true;\n    };\n}\n/**\nReturns a command that tries to set the selected textblocks to the\ngiven node type with the given attributes.\n*/\nfunction setBlockType(nodeType, attrs = null) {\n    return function (state, dispatch) {\n        let applicable = false;\n        for (let i = 0; i < state.selection.ranges.length && !applicable; i++) {\n            let { $from: { pos: from }, $to: { pos: to } } = state.selection.ranges[i];\n            state.doc.nodesBetween(from, to, (node, pos) => {\n                if (applicable)\n                    return false;\n                if (!node.isTextblock || node.hasMarkup(nodeType, attrs))\n                    return;\n                if (node.type == nodeType) {\n                    applicable = true;\n                }\n                else {\n                    let $pos = state.doc.resolve(pos), index = $pos.index();\n                    applicable = $pos.parent.canReplaceWith(index, index + 1, nodeType);\n                }\n            });\n        }\n        if (!applicable)\n            return false;\n        if (dispatch) {\n            let tr = state.tr;\n            for (let i = 0; i < state.selection.ranges.length; i++) {\n                let { $from: { pos: from }, $to: { pos: to } } = state.selection.ranges[i];\n                tr.setBlockType(from, to, nodeType, attrs);\n            }\n            dispatch(tr.scrollIntoView());\n        }\n        return true;\n    };\n}\nfunction markApplies(doc, ranges, type) {\n    for (let i = 0; i < ranges.length; i++) {\n        let { $from, $to } = ranges[i];\n        let can = $from.depth == 0 ? doc.inlineContent && doc.type.allowsMarkType(type) : false;\n        doc.nodesBetween($from.pos, $to.pos, node => {\n            if (can)\n                return false;\n            can = node.inlineContent && node.type.allowsMarkType(type);\n        });\n        if (can)\n            return true;\n    }\n    return false;\n}\n/**\nCreate a command function that toggles the given mark with the\ngiven attributes. Will return `false` when the current selection\ndoesn't support that mark. This will remove the mark if any marks\nof that type exist in the selection, or add it otherwise. If the\nselection is empty, this applies to the [stored\nmarks](https://prosemirror.net/docs/ref/#state.EditorState.storedMarks) instead of a range of the\ndocument.\n*/\nfunction toggleMark(markType, attrs = null) {\n    return function (state, dispatch) {\n        let { empty, $cursor, ranges } = state.selection;\n        if ((empty && !$cursor) || !markApplies(state.doc, ranges, markType))\n            return false;\n        if (dispatch) {\n            if ($cursor) {\n                if (markType.isInSet(state.storedMarks || $cursor.marks()))\n                    dispatch(state.tr.removeStoredMark(markType));\n                else\n                    dispatch(state.tr.addStoredMark(markType.create(attrs)));\n            }\n            else {\n                let has = false, tr = state.tr;\n                for (let i = 0; !has && i < ranges.length; i++) {\n                    let { $from, $to } = ranges[i];\n                    has = state.doc.rangeHasMark($from.pos, $to.pos, markType);\n                }\n                for (let i = 0; i < ranges.length; i++) {\n                    let { $from, $to } = ranges[i];\n                    if (has) {\n                        tr.removeMark($from.pos, $to.pos, markType);\n                    }\n                    else {\n                        let from = $from.pos, to = $to.pos, start = $from.nodeAfter, end = $to.nodeBefore;\n                        let spaceStart = start && start.isText ? /^\\s*/.exec(start.text)[0].length : 0;\n                        let spaceEnd = end && end.isText ? /\\s*$/.exec(end.text)[0].length : 0;\n                        if (from + spaceStart < to) {\n                            from += spaceStart;\n                            to -= spaceEnd;\n                        }\n                        tr.addMark(from, to, markType.create(attrs));\n                    }\n                }\n                dispatch(tr.scrollIntoView());\n            }\n        }\n        return true;\n    };\n}\nfunction wrapDispatchForJoin(dispatch, isJoinable) {\n    return (tr) => {\n        if (!tr.isGeneric)\n            return dispatch(tr);\n        let ranges = [];\n        for (let i = 0; i < tr.mapping.maps.length; i++) {\n            let map = tr.mapping.maps[i];\n            for (let j = 0; j < ranges.length; j++)\n                ranges[j] = map.map(ranges[j]);\n            map.forEach((_s, _e, from, to) => ranges.push(from, to));\n        }\n        // Figure out which joinable points exist inside those ranges,\n        // by checking all node boundaries in their parent nodes.\n        let joinable = [];\n        for (let i = 0; i < ranges.length; i += 2) {\n            let from = ranges[i], to = ranges[i + 1];\n            let $from = tr.doc.resolve(from), depth = $from.sharedDepth(to), parent = $from.node(depth);\n            for (let index = $from.indexAfter(depth), pos = $from.after(depth + 1); pos <= to; ++index) {\n                let after = parent.maybeChild(index);\n                if (!after)\n                    break;\n                if (index && joinable.indexOf(pos) == -1) {\n                    let before = parent.child(index - 1);\n                    if (before.type == after.type && isJoinable(before, after))\n                        joinable.push(pos);\n                }\n                pos += after.nodeSize;\n            }\n        }\n        // Join the joinable points\n        joinable.sort((a, b) => a - b);\n        for (let i = joinable.length - 1; i >= 0; i--) {\n            if (canJoin(tr.doc, joinable[i]))\n                tr.join(joinable[i]);\n        }\n        dispatch(tr);\n    };\n}\n/**\nWrap a command so that, when it produces a transform that causes\ntwo joinable nodes to end up next to each other, those are joined.\nNodes are considered joinable when they are of the same type and\nwhen the `isJoinable` predicate returns true for them or, if an\narray of strings was passed, if their node type name is in that\narray.\n*/\nfunction autoJoin(command, isJoinable) {\n    let canJoin = Array.isArray(isJoinable) ? (node) => isJoinable.indexOf(node.type.name) > -1\n        : isJoinable;\n    return (state, dispatch, view) => command(state, dispatch && wrapDispatchForJoin(dispatch, canJoin), view);\n}\n/**\nCombine a number of command functions into a single function (which\ncalls them one by one until one returns true).\n*/\nfunction chainCommands(...commands) {\n    return function (state, dispatch, view) {\n        for (let i = 0; i < commands.length; i++)\n            if (commands[i](state, dispatch, view))\n                return true;\n        return false;\n    };\n}\nlet backspace = chainCommands(deleteSelection, joinBackward, selectNodeBackward);\nlet del = chainCommands(deleteSelection, joinForward, selectNodeForward);\n/**\nA basic keymap containing bindings not specific to any schema.\nBinds the following keys (when multiple commands are listed, they\nare chained with [`chainCommands`](https://prosemirror.net/docs/ref/#commands.chainCommands)):\n\n* **Enter** to `newlineInCode`, `createParagraphNear`, `liftEmptyBlock`, `splitBlock`\n* **Mod-Enter** to `exitCode`\n* **Backspace** and **Mod-Backspace** to `deleteSelection`, `joinBackward`, `selectNodeBackward`\n* **Delete** and **Mod-Delete** to `deleteSelection`, `joinForward`, `selectNodeForward`\n* **Mod-Delete** to `deleteSelection`, `joinForward`, `selectNodeForward`\n* **Mod-a** to `selectAll`\n*/\nconst pcBaseKeymap = {\n    \"Enter\": chainCommands(newlineInCode, createParagraphNear, liftEmptyBlock, splitBlock),\n    \"Mod-Enter\": exitCode,\n    \"Backspace\": backspace,\n    \"Mod-Backspace\": backspace,\n    \"Shift-Backspace\": backspace,\n    \"Delete\": del,\n    \"Mod-Delete\": del,\n    \"Mod-a\": selectAll\n};\n/**\nA copy of `pcBaseKeymap` that also binds **Ctrl-h** like Backspace,\n**Ctrl-d** like Delete, **Alt-Backspace** like Ctrl-Backspace, and\n**Ctrl-Alt-Backspace**, **Alt-Delete**, and **Alt-d** like\nCtrl-Delete.\n*/\nconst macBaseKeymap = {\n    \"Ctrl-h\": pcBaseKeymap[\"Backspace\"],\n    \"Alt-Backspace\": pcBaseKeymap[\"Mod-Backspace\"],\n    \"Ctrl-d\": pcBaseKeymap[\"Delete\"],\n    \"Ctrl-Alt-Backspace\": pcBaseKeymap[\"Mod-Delete\"],\n    \"Alt-Delete\": pcBaseKeymap[\"Mod-Delete\"],\n    \"Alt-d\": pcBaseKeymap[\"Mod-Delete\"],\n    \"Ctrl-a\": selectTextblockStart,\n    \"Ctrl-e\": selectTextblockEnd\n};\nfor (let key in pcBaseKeymap)\n    macBaseKeymap[key] = pcBaseKeymap[key];\nconst mac = typeof navigator != \"undefined\" ? /Mac|iP(hone|[oa]d)/.test(navigator.platform)\n    // @ts-ignore\n    : typeof os != \"undefined\" && os.platform ? os.platform() == \"darwin\" : false;\n/**\nDepending on the detected platform, this will hold\n[`pcBasekeymap`](https://prosemirror.net/docs/ref/#commands.pcBaseKeymap) or\n[`macBaseKeymap`](https://prosemirror.net/docs/ref/#commands.macBaseKeymap).\n*/\nconst baseKeymap = mac ? macBaseKeymap : pcBaseKeymap;\n\nexport { autoJoin, baseKeymap, chainCommands, createParagraphNear, deleteSelection, exitCode, joinBackward, joinDown, joinForward, joinTextblockBackward, joinTextblockForward, joinUp, lift, liftEmptyBlock, macBaseKeymap, newlineInCode, pcBaseKeymap, selectAll, selectNodeBackward, selectNodeForward, selectParentNode, selectTextblockEnd, selectTextblockStart, setBlockType, splitBlock, splitBlockAs, splitBlockKeepMarks, toggleMark, wrapIn };\n","import { findWrapping, ReplaceAroundStep, canSplit, liftTarget, canJoin } from 'prosemirror-transform';\nimport { NodeRange, Fragment, Slice } from 'prosemirror-model';\nimport { Selection } from 'prosemirror-state';\n\nconst olDOM = [\"ol\", 0], ulDOM = [\"ul\", 0], liDOM = [\"li\", 0];\n/**\nAn ordered list [node spec](https://prosemirror.net/docs/ref/#model.NodeSpec). Has a single\nattribute, `order`, which determines the number at which the list\nstarts counting, and defaults to 1. Represented as an `<ol>`\nelement.\n*/\nconst orderedList = {\n    attrs: { order: { default: 1 } },\n    parseDOM: [{ tag: \"ol\", getAttrs(dom) {\n                return { order: dom.hasAttribute(\"start\") ? +dom.getAttribute(\"start\") : 1 };\n            } }],\n    toDOM(node) {\n        return node.attrs.order == 1 ? olDOM : [\"ol\", { start: node.attrs.order }, 0];\n    }\n};\n/**\nA bullet list node spec, represented in the DOM as `<ul>`.\n*/\nconst bulletList = {\n    parseDOM: [{ tag: \"ul\" }],\n    toDOM() { return ulDOM; }\n};\n/**\nA list item (`<li>`) spec.\n*/\nconst listItem = {\n    parseDOM: [{ tag: \"li\" }],\n    toDOM() { return liDOM; },\n    defining: true\n};\nfunction add(obj, props) {\n    let copy = {};\n    for (let prop in obj)\n        copy[prop] = obj[prop];\n    for (let prop in props)\n        copy[prop] = props[prop];\n    return copy;\n}\n/**\nConvenience function for adding list-related node types to a map\nspecifying the nodes for a schema. Adds\n[`orderedList`](https://prosemirror.net/docs/ref/#schema-list.orderedList) as `\"ordered_list\"`,\n[`bulletList`](https://prosemirror.net/docs/ref/#schema-list.bulletList) as `\"bullet_list\"`, and\n[`listItem`](https://prosemirror.net/docs/ref/#schema-list.listItem) as `\"list_item\"`.\n\n`itemContent` determines the content expression for the list items.\nIf you want the commands defined in this module to apply to your\nlist structure, it should have a shape like `\"paragraph block*\"` or\n`\"paragraph (ordered_list | bullet_list)*\"`. `listGroup` can be\ngiven to assign a group name to the list node types, for example\n`\"block\"`.\n*/\nfunction addListNodes(nodes, itemContent, listGroup) {\n    return nodes.append({\n        ordered_list: add(orderedList, { content: \"list_item+\", group: listGroup }),\n        bullet_list: add(bulletList, { content: \"list_item+\", group: listGroup }),\n        list_item: add(listItem, { content: itemContent })\n    });\n}\n/**\nReturns a command function that wraps the selection in a list with\nthe given type an attributes. If `dispatch` is null, only return a\nvalue to indicate whether this is possible, but don't actually\nperform the change.\n*/\nfunction wrapInList(listType, attrs = null) {\n    return function (state, dispatch) {\n        let { $from, $to } = state.selection;\n        let range = $from.blockRange($to), doJoin = false, outerRange = range;\n        if (!range)\n            return false;\n        // This is at the top of an existing list item\n        if (range.depth >= 2 && $from.node(range.depth - 1).type.compatibleContent(listType) && range.startIndex == 0) {\n            // Don't do anything if this is the top of the list\n            if ($from.index(range.depth - 1) == 0)\n                return false;\n            let $insert = state.doc.resolve(range.start - 2);\n            outerRange = new NodeRange($insert, $insert, range.depth);\n            if (range.endIndex < range.parent.childCount)\n                range = new NodeRange($from, state.doc.resolve($to.end(range.depth)), range.depth);\n            doJoin = true;\n        }\n        let wrap = findWrapping(outerRange, listType, attrs, range);\n        if (!wrap)\n            return false;\n        if (dispatch)\n            dispatch(doWrapInList(state.tr, range, wrap, doJoin, listType).scrollIntoView());\n        return true;\n    };\n}\nfunction doWrapInList(tr, range, wrappers, joinBefore, listType) {\n    let content = Fragment.empty;\n    for (let i = wrappers.length - 1; i >= 0; i--)\n        content = Fragment.from(wrappers[i].type.create(wrappers[i].attrs, content));\n    tr.step(new ReplaceAroundStep(range.start - (joinBefore ? 2 : 0), range.end, range.start, range.end, new Slice(content, 0, 0), wrappers.length, true));\n    let found = 0;\n    for (let i = 0; i < wrappers.length; i++)\n        if (wrappers[i].type == listType)\n            found = i + 1;\n    let splitDepth = wrappers.length - found;\n    let splitPos = range.start + wrappers.length - (joinBefore ? 2 : 0), parent = range.parent;\n    for (let i = range.startIndex, e = range.endIndex, first = true; i < e; i++, first = false) {\n        if (!first && canSplit(tr.doc, splitPos, splitDepth)) {\n            tr.split(splitPos, splitDepth);\n            splitPos += 2 * splitDepth;\n        }\n        splitPos += parent.child(i).nodeSize;\n    }\n    return tr;\n}\n/**\nBuild a command that splits a non-empty textblock at the top level\nof a list item by also splitting that list item.\n*/\nfunction splitListItem(itemType, itemAttrs) {\n    return function (state, dispatch) {\n        let { $from, $to, node } = state.selection;\n        if ((node && node.isBlock) || $from.depth < 2 || !$from.sameParent($to))\n            return false;\n        let grandParent = $from.node(-1);\n        if (grandParent.type != itemType)\n            return false;\n        if ($from.parent.content.size == 0 && $from.node(-1).childCount == $from.indexAfter(-1)) {\n            // In an empty block. If this is a nested list, the wrapping\n            // list item should be split. Otherwise, bail out and let next\n            // command handle lifting.\n            if ($from.depth == 3 || $from.node(-3).type != itemType ||\n                $from.index(-2) != $from.node(-2).childCount - 1)\n                return false;\n            if (dispatch) {\n                let wrap = Fragment.empty;\n                let depthBefore = $from.index(-1) ? 1 : $from.index(-2) ? 2 : 3;\n                // Build a fragment containing empty versions of the structure\n                // from the outer list item to the parent node of the cursor\n                for (let d = $from.depth - depthBefore; d >= $from.depth - 3; d--)\n                    wrap = Fragment.from($from.node(d).copy(wrap));\n                let depthAfter = $from.indexAfter(-1) < $from.node(-2).childCount ? 1\n                    : $from.indexAfter(-2) < $from.node(-3).childCount ? 2 : 3;\n                // Add a second list item with an empty default start node\n                wrap = wrap.append(Fragment.from(itemType.createAndFill()));\n                let start = $from.before($from.depth - (depthBefore - 1));\n                let tr = state.tr.replace(start, $from.after(-depthAfter), new Slice(wrap, 4 - depthBefore, 0));\n                let sel = -1;\n                tr.doc.nodesBetween(start, tr.doc.content.size, (node, pos) => {\n                    if (sel > -1)\n                        return false;\n                    if (node.isTextblock && node.content.size == 0)\n                        sel = pos + 1;\n                });\n                if (sel > -1)\n                    tr.setSelection(Selection.near(tr.doc.resolve(sel)));\n                dispatch(tr.scrollIntoView());\n            }\n            return true;\n        }\n        let nextType = $to.pos == $from.end() ? grandParent.contentMatchAt(0).defaultType : null;\n        let tr = state.tr.delete($from.pos, $to.pos);\n        let types = nextType ? [itemAttrs ? { type: itemType, attrs: itemAttrs } : null, { type: nextType }] : undefined;\n        if (!canSplit(tr.doc, $from.pos, 2, types))\n            return false;\n        if (dispatch)\n            dispatch(tr.split($from.pos, 2, types).scrollIntoView());\n        return true;\n    };\n}\n/**\nCreate a command to lift the list item around the selection up into\na wrapping list.\n*/\nfunction liftListItem(itemType) {\n    return function (state, dispatch) {\n        let { $from, $to } = state.selection;\n        let range = $from.blockRange($to, node => node.childCount > 0 && node.firstChild.type == itemType);\n        if (!range)\n            return false;\n        if (!dispatch)\n            return true;\n        if ($from.node(range.depth - 1).type == itemType) // Inside a parent list\n            return liftToOuterList(state, dispatch, itemType, range);\n        else // Outer list node\n            return liftOutOfList(state, dispatch, range);\n    };\n}\nfunction liftToOuterList(state, dispatch, itemType, range) {\n    let tr = state.tr, end = range.end, endOfList = range.$to.end(range.depth);\n    if (end < endOfList) {\n        // There are siblings after the lifted items, which must become\n        // children of the last item\n        tr.step(new ReplaceAroundStep(end - 1, endOfList, end, endOfList, new Slice(Fragment.from(itemType.create(null, range.parent.copy())), 1, 0), 1, true));\n        range = new NodeRange(tr.doc.resolve(range.$from.pos), tr.doc.resolve(endOfList), range.depth);\n    }\n    const target = liftTarget(range);\n    if (target == null)\n        return false;\n    tr.lift(range, target);\n    let after = tr.mapping.map(end, -1) - 1;\n    if (canJoin(tr.doc, after))\n        tr.join(after);\n    dispatch(tr.scrollIntoView());\n    return true;\n}\nfunction liftOutOfList(state, dispatch, range) {\n    let tr = state.tr, list = range.parent;\n    // Merge the list items into a single big item\n    for (let pos = range.end, i = range.endIndex - 1, e = range.startIndex; i > e; i--) {\n        pos -= list.child(i).nodeSize;\n        tr.delete(pos - 1, pos + 1);\n    }\n    let $start = tr.doc.resolve(range.start), item = $start.nodeAfter;\n    if (tr.mapping.map(range.end) != range.start + $start.nodeAfter.nodeSize)\n        return false;\n    let atStart = range.startIndex == 0, atEnd = range.endIndex == list.childCount;\n    let parent = $start.node(-1), indexBefore = $start.index(-1);\n    if (!parent.canReplace(indexBefore + (atStart ? 0 : 1), indexBefore + 1, item.content.append(atEnd ? Fragment.empty : Fragment.from(list))))\n        return false;\n    let start = $start.pos, end = start + item.nodeSize;\n    // Strip off the surrounding list. At the sides where we're not at\n    // the end of the list, the existing list is closed. At sides where\n    // this is the end, it is overwritten to its end.\n    tr.step(new ReplaceAroundStep(start - (atStart ? 1 : 0), end + (atEnd ? 1 : 0), start + 1, end - 1, new Slice((atStart ? Fragment.empty : Fragment.from(list.copy(Fragment.empty)))\n        .append(atEnd ? Fragment.empty : Fragment.from(list.copy(Fragment.empty))), atStart ? 0 : 1, atEnd ? 0 : 1), atStart ? 0 : 1));\n    dispatch(tr.scrollIntoView());\n    return true;\n}\n/**\nCreate a command to sink the list item around the selection down\ninto an inner list.\n*/\nfunction sinkListItem(itemType) {\n    return function (state, dispatch) {\n        let { $from, $to } = state.selection;\n        let range = $from.blockRange($to, node => node.childCount > 0 && node.firstChild.type == itemType);\n        if (!range)\n            return false;\n        let startIndex = range.startIndex;\n        if (startIndex == 0)\n            return false;\n        let parent = range.parent, nodeBefore = parent.child(startIndex - 1);\n        if (nodeBefore.type != itemType)\n            return false;\n        if (dispatch) {\n            let nestedBefore = nodeBefore.lastChild && nodeBefore.lastChild.type == parent.type;\n            let inner = Fragment.from(nestedBefore ? itemType.create() : null);\n            let slice = new Slice(Fragment.from(itemType.create(null, Fragment.from(parent.type.create(null, inner)))), nestedBefore ? 3 : 1, 0);\n            let before = range.start, after = range.end;\n            dispatch(state.tr.step(new ReplaceAroundStep(before - (nestedBefore ? 3 : 1), after, before, after, slice, 1, true))\n                .scrollIntoView());\n        }\n        return true;\n    };\n}\n\nexport { addListNodes, bulletList, liftListItem, listItem, orderedList, sinkListItem, splitListItem, wrapInList };\n","import { Plugin, PluginKey, TextSelection, Selection, NodeSelection, EditorState } from '@tiptap/pm/state';\nimport { EditorView } from '@tiptap/pm/view';\nimport { keymap } from '@tiptap/pm/keymap';\nimport { Schema, Fragment, DOMParser, DOMSerializer, Node as Node$1, Slice } from '@tiptap/pm/model';\nimport { liftTarget, ReplaceStep, ReplaceAroundStep, joinPoint, Transform, canSplit, canJoin, findWrapping } from '@tiptap/pm/transform';\nimport { createParagraphNear as createParagraphNear$1, deleteSelection as deleteSelection$1, exitCode as exitCode$1, joinUp as joinUp$1, joinDown as joinDown$1, joinBackward as joinBackward$1, joinForward as joinForward$1, joinTextblockBackward as joinTextblockBackward$1, joinTextblockForward as joinTextblockForward$1, lift as lift$1, liftEmptyBlock as liftEmptyBlock$1, newlineInCode as newlineInCode$1, selectNodeBackward as selectNodeBackward$1, selectNodeForward as selectNodeForward$1, selectParentNode as selectParentNode$1, selectTextblockEnd as selectTextblockEnd$1, selectTextblockStart as selectTextblockStart$1, setBlockType, wrapIn as wrapIn$1 } from '@tiptap/pm/commands';\nimport { liftListItem as liftListItem$1, sinkListItem as sinkListItem$1, wrapInList as wrapInList$1 } from '@tiptap/pm/schema-list';\n\nfunction createChainableState(config) {\r\n    const { state, transaction } = config;\r\n    let { selection } = transaction;\r\n    let { doc } = transaction;\r\n    let { storedMarks } = transaction;\r\n    return {\r\n        ...state,\r\n        apply: state.apply.bind(state),\r\n        applyTransaction: state.applyTransaction.bind(state),\r\n        plugins: state.plugins,\r\n        schema: state.schema,\r\n        reconfigure: state.reconfigure.bind(state),\r\n        toJSON: state.toJSON.bind(state),\r\n        get storedMarks() {\r\n            return storedMarks;\r\n        },\r\n        get selection() {\r\n            return selection;\r\n        },\r\n        get doc() {\r\n            return doc;\r\n        },\r\n        get tr() {\r\n            selection = transaction.selection;\r\n            doc = transaction.doc;\r\n            storedMarks = transaction.storedMarks;\r\n            return transaction;\r\n        },\r\n    };\r\n}\n\nclass CommandManager {\r\n    constructor(props) {\r\n        this.editor = props.editor;\r\n        this.rawCommands = this.editor.extensionManager.commands;\r\n        this.customState = props.state;\r\n    }\r\n    get hasCustomState() {\r\n        return !!this.customState;\r\n    }\r\n    get state() {\r\n        return this.customState || this.editor.state;\r\n    }\r\n    get commands() {\r\n        const { rawCommands, editor, state } = this;\r\n        const { view } = editor;\r\n        const { tr } = state;\r\n        const props = this.buildProps(tr);\r\n        return Object.fromEntries(Object.entries(rawCommands).map(([name, command]) => {\r\n            const method = (...args) => {\r\n                const callback = command(...args)(props);\r\n                if (!tr.getMeta('preventDispatch') && !this.hasCustomState) {\r\n                    view.dispatch(tr);\r\n                }\r\n                return callback;\r\n            };\r\n            return [name, method];\r\n        }));\r\n    }\r\n    get chain() {\r\n        return () => this.createChain();\r\n    }\r\n    get can() {\r\n        return () => this.createCan();\r\n    }\r\n    createChain(startTr, shouldDispatch = true) {\r\n        const { rawCommands, editor, state } = this;\r\n        const { view } = editor;\r\n        const callbacks = [];\r\n        const hasStartTransaction = !!startTr;\r\n        const tr = startTr || state.tr;\r\n        const run = () => {\r\n            if (!hasStartTransaction\r\n                && shouldDispatch\r\n                && !tr.getMeta('preventDispatch')\r\n                && !this.hasCustomState) {\r\n                view.dispatch(tr);\r\n            }\r\n            return callbacks.every(callback => callback === true);\r\n        };\r\n        const chain = {\r\n            ...Object.fromEntries(Object.entries(rawCommands).map(([name, command]) => {\r\n                const chainedCommand = (...args) => {\r\n                    const props = this.buildProps(tr, shouldDispatch);\r\n                    const callback = command(...args)(props);\r\n                    callbacks.push(callback);\r\n                    return chain;\r\n                };\r\n                return [name, chainedCommand];\r\n            })),\r\n            run,\r\n        };\r\n        return chain;\r\n    }\r\n    createCan(startTr) {\r\n        const { rawCommands, state } = this;\r\n        const dispatch = false;\r\n        const tr = startTr || state.tr;\r\n        const props = this.buildProps(tr, dispatch);\r\n        const formattedCommands = Object.fromEntries(Object.entries(rawCommands).map(([name, command]) => {\r\n            return [name, (...args) => command(...args)({ ...props, dispatch: undefined })];\r\n        }));\r\n        return {\r\n            ...formattedCommands,\r\n            chain: () => this.createChain(tr, dispatch),\r\n        };\r\n    }\r\n    buildProps(tr, shouldDispatch = true) {\r\n        const { rawCommands, editor, state } = this;\r\n        const { view } = editor;\r\n        const props = {\r\n            tr,\r\n            editor,\r\n            view,\r\n            state: createChainableState({\r\n                state,\r\n                transaction: tr,\r\n            }),\r\n            dispatch: shouldDispatch ? () => undefined : undefined,\r\n            chain: () => this.createChain(tr, shouldDispatch),\r\n            can: () => this.createCan(tr),\r\n            get commands() {\r\n                return Object.fromEntries(Object.entries(rawCommands).map(([name, command]) => {\r\n                    return [name, (...args) => command(...args)(props)];\r\n                }));\r\n            },\r\n        };\r\n        return props;\r\n    }\r\n}\n\nclass EventEmitter {\r\n    constructor() {\r\n        this.callbacks = {};\r\n    }\r\n    on(event, fn) {\r\n        if (!this.callbacks[event]) {\r\n            this.callbacks[event] = [];\r\n        }\r\n        this.callbacks[event].push(fn);\r\n        return this;\r\n    }\r\n    emit(event, ...args) {\r\n        const callbacks = this.callbacks[event];\r\n        if (callbacks) {\r\n            callbacks.forEach(callback => callback.apply(this, args));\r\n        }\r\n        return this;\r\n    }\r\n    off(event, fn) {\r\n        const callbacks = this.callbacks[event];\r\n        if (callbacks) {\r\n            if (fn) {\r\n                this.callbacks[event] = callbacks.filter(callback => callback !== fn);\r\n            }\r\n            else {\r\n                delete this.callbacks[event];\r\n            }\r\n        }\r\n        return this;\r\n    }\r\n    removeAllListeners() {\r\n        this.callbacks = {};\r\n    }\r\n}\n\nfunction getExtensionField(extension, field, context) {\r\n    if (extension.config[field] === undefined && extension.parent) {\r\n        return getExtensionField(extension.parent, field, context);\r\n    }\r\n    if (typeof extension.config[field] === 'function') {\r\n        const value = extension.config[field].bind({\r\n            ...context,\r\n            parent: extension.parent\r\n                ? getExtensionField(extension.parent, field, context)\r\n                : null,\r\n        });\r\n        return value;\r\n    }\r\n    return extension.config[field];\r\n}\n\nfunction splitExtensions(extensions) {\r\n    const baseExtensions = extensions.filter(extension => extension.type === 'extension');\r\n    const nodeExtensions = extensions.filter(extension => extension.type === 'node');\r\n    const markExtensions = extensions.filter(extension => extension.type === 'mark');\r\n    return {\r\n        baseExtensions,\r\n        nodeExtensions,\r\n        markExtensions,\r\n    };\r\n}\n\n/**\r\n * Get a list of all extension attributes defined in `addAttribute` and `addGlobalAttribute`.\r\n * @param extensions List of extensions\r\n */\r\nfunction getAttributesFromExtensions(extensions) {\r\n    const extensionAttributes = [];\r\n    const { nodeExtensions, markExtensions } = splitExtensions(extensions);\r\n    const nodeAndMarkExtensions = [...nodeExtensions, ...markExtensions];\r\n    const defaultAttribute = {\r\n        default: null,\r\n        rendered: true,\r\n        renderHTML: null,\r\n        parseHTML: null,\r\n        keepOnSplit: true,\r\n        isRequired: false,\r\n    };\r\n    extensions.forEach(extension => {\r\n        const context = {\r\n            name: extension.name,\r\n            options: extension.options,\r\n            storage: extension.storage,\r\n        };\r\n        const addGlobalAttributes = getExtensionField(extension, 'addGlobalAttributes', context);\r\n        if (!addGlobalAttributes) {\r\n            return;\r\n        }\r\n        // TODO: remove `as GlobalAttributes`\r\n        const globalAttributes = addGlobalAttributes();\r\n        globalAttributes.forEach(globalAttribute => {\r\n            globalAttribute.types.forEach(type => {\r\n                Object\r\n                    .entries(globalAttribute.attributes)\r\n                    .forEach(([name, attribute]) => {\r\n                    extensionAttributes.push({\r\n                        type,\r\n                        name,\r\n                        attribute: {\r\n                            ...defaultAttribute,\r\n                            ...attribute,\r\n                        },\r\n                    });\r\n                });\r\n            });\r\n        });\r\n    });\r\n    nodeAndMarkExtensions.forEach(extension => {\r\n        const context = {\r\n            name: extension.name,\r\n            options: extension.options,\r\n            storage: extension.storage,\r\n        };\r\n        const addAttributes = getExtensionField(extension, 'addAttributes', context);\r\n        if (!addAttributes) {\r\n            return;\r\n        }\r\n        // TODO: remove `as Attributes`\r\n        const attributes = addAttributes();\r\n        Object\r\n            .entries(attributes)\r\n            .forEach(([name, attribute]) => {\r\n            const mergedAttr = {\r\n                ...defaultAttribute,\r\n                ...attribute,\r\n            };\r\n            if (typeof (mergedAttr === null || mergedAttr === void 0 ? void 0 : mergedAttr.default) === 'function') {\r\n                mergedAttr.default = mergedAttr.default();\r\n            }\r\n            if ((mergedAttr === null || mergedAttr === void 0 ? void 0 : mergedAttr.isRequired) && (mergedAttr === null || mergedAttr === void 0 ? void 0 : mergedAttr.default) === undefined) {\r\n                delete mergedAttr.default;\r\n            }\r\n            extensionAttributes.push({\r\n                type: extension.name,\r\n                name,\r\n                attribute: mergedAttr,\r\n            });\r\n        });\r\n    });\r\n    return extensionAttributes;\r\n}\n\nfunction getNodeType(nameOrType, schema) {\r\n    if (typeof nameOrType === 'string') {\r\n        if (!schema.nodes[nameOrType]) {\r\n            throw Error(`There is no node type named '${nameOrType}'. Maybe you forgot to add the extension?`);\r\n        }\r\n        return schema.nodes[nameOrType];\r\n    }\r\n    return nameOrType;\r\n}\n\nfunction mergeAttributes(...objects) {\r\n    return objects\r\n        .filter(item => !!item)\r\n        .reduce((items, item) => {\r\n        const mergedAttributes = { ...items };\r\n        Object.entries(item).forEach(([key, value]) => {\r\n            const exists = mergedAttributes[key];\r\n            if (!exists) {\r\n                mergedAttributes[key] = value;\r\n                return;\r\n            }\r\n            if (key === 'class') {\r\n                const valueClasses = value ? value.split(' ') : [];\r\n                const existingClasses = mergedAttributes[key] ? mergedAttributes[key].split(' ') : [];\r\n                const insertClasses = valueClasses.filter(valueClass => !existingClasses.includes(valueClass));\r\n                mergedAttributes[key] = [...existingClasses, ...insertClasses].join(' ');\r\n            }\r\n            else if (key === 'style') {\r\n                mergedAttributes[key] = [mergedAttributes[key], value].join('; ');\r\n            }\r\n            else {\r\n                mergedAttributes[key] = value;\r\n            }\r\n        });\r\n        return mergedAttributes;\r\n    }, {});\r\n}\n\nfunction getRenderedAttributes(nodeOrMark, extensionAttributes) {\r\n    return extensionAttributes\r\n        .filter(item => item.attribute.rendered)\r\n        .map(item => {\r\n        if (!item.attribute.renderHTML) {\r\n            return {\r\n                [item.name]: nodeOrMark.attrs[item.name],\r\n            };\r\n        }\r\n        return item.attribute.renderHTML(nodeOrMark.attrs) || {};\r\n    })\r\n        .reduce((attributes, attribute) => mergeAttributes(attributes, attribute), {});\r\n}\n\nfunction isFunction(value) {\r\n    return typeof value === 'function';\r\n}\n\n/**\r\n * Optionally calls `value` as a function.\r\n * Otherwise it is returned directly.\r\n * @param value Function or any value.\r\n * @param context Optional context to bind to function.\r\n * @param props Optional props to pass to function.\r\n */\r\nfunction callOrReturn(value, context = undefined, ...props) {\r\n    if (isFunction(value)) {\r\n        if (context) {\r\n            return value.bind(context)(...props);\r\n        }\r\n        return value(...props);\r\n    }\r\n    return value;\r\n}\n\nfunction isEmptyObject(value = {}) {\r\n    return Object.keys(value).length === 0 && value.constructor === Object;\r\n}\n\nfunction fromString(value) {\r\n    if (typeof value !== 'string') {\r\n        return value;\r\n    }\r\n    if (value.match(/^[+-]?(?:\\d*\\.)?\\d+$/)) {\r\n        return Number(value);\r\n    }\r\n    if (value === 'true') {\r\n        return true;\r\n    }\r\n    if (value === 'false') {\r\n        return false;\r\n    }\r\n    return value;\r\n}\n\n/**\r\n * This function merges extension attributes into parserule attributes (`attrs` or `getAttrs`).\r\n * Cancels when `getAttrs` returned `false`.\r\n * @param parseRule ProseMirror ParseRule\r\n * @param extensionAttributes List of attributes to inject\r\n */\r\nfunction injectExtensionAttributesToParseRule(parseRule, extensionAttributes) {\r\n    if (parseRule.style) {\r\n        return parseRule;\r\n    }\r\n    return {\r\n        ...parseRule,\r\n        getAttrs: node => {\r\n            const oldAttributes = parseRule.getAttrs ? parseRule.getAttrs(node) : parseRule.attrs;\r\n            if (oldAttributes === false) {\r\n                return false;\r\n            }\r\n            const newAttributes = extensionAttributes.reduce((items, item) => {\r\n                const value = item.attribute.parseHTML\r\n                    ? item.attribute.parseHTML(node)\r\n                    : fromString(node.getAttribute(item.name));\r\n                if (value === null || value === undefined) {\r\n                    return items;\r\n                }\r\n                return {\r\n                    ...items,\r\n                    [item.name]: value,\r\n                };\r\n            }, {});\r\n            return { ...oldAttributes, ...newAttributes };\r\n        },\r\n    };\r\n}\n\nfunction cleanUpSchemaItem(data) {\r\n    return Object.fromEntries(\r\n    // @ts-ignore\r\n    Object.entries(data).filter(([key, value]) => {\r\n        if (key === 'attrs' && isEmptyObject(value)) {\r\n            return false;\r\n        }\r\n        return value !== null && value !== undefined;\r\n    }));\r\n}\r\nfunction getSchemaByResolvedExtensions(extensions, editor) {\r\n    var _a;\r\n    const allAttributes = getAttributesFromExtensions(extensions);\r\n    const { nodeExtensions, markExtensions } = splitExtensions(extensions);\r\n    const topNode = (_a = nodeExtensions.find(extension => getExtensionField(extension, 'topNode'))) === null || _a === void 0 ? void 0 : _a.name;\r\n    const nodes = Object.fromEntries(nodeExtensions.map(extension => {\r\n        const extensionAttributes = allAttributes.filter(attribute => attribute.type === extension.name);\r\n        const context = {\r\n            name: extension.name,\r\n            options: extension.options,\r\n            storage: extension.storage,\r\n            editor,\r\n        };\r\n        const extraNodeFields = extensions.reduce((fields, e) => {\r\n            const extendNodeSchema = getExtensionField(e, 'extendNodeSchema', context);\r\n            return {\r\n                ...fields,\r\n                ...(extendNodeSchema ? extendNodeSchema(extension) : {}),\r\n            };\r\n        }, {});\r\n        const schema = cleanUpSchemaItem({\r\n            ...extraNodeFields,\r\n            content: callOrReturn(getExtensionField(extension, 'content', context)),\r\n            marks: callOrReturn(getExtensionField(extension, 'marks', context)),\r\n            group: callOrReturn(getExtensionField(extension, 'group', context)),\r\n            inline: callOrReturn(getExtensionField(extension, 'inline', context)),\r\n            atom: callOrReturn(getExtensionField(extension, 'atom', context)),\r\n            selectable: callOrReturn(getExtensionField(extension, 'selectable', context)),\r\n            draggable: callOrReturn(getExtensionField(extension, 'draggable', context)),\r\n            code: callOrReturn(getExtensionField(extension, 'code', context)),\r\n            defining: callOrReturn(getExtensionField(extension, 'defining', context)),\r\n            isolating: callOrReturn(getExtensionField(extension, 'isolating', context)),\r\n            attrs: Object.fromEntries(extensionAttributes.map(extensionAttribute => {\r\n                var _a;\r\n                return [extensionAttribute.name, { default: (_a = extensionAttribute === null || extensionAttribute === void 0 ? void 0 : extensionAttribute.attribute) === null || _a === void 0 ? void 0 : _a.default }];\r\n            })),\r\n        });\r\n        const parseHTML = callOrReturn(getExtensionField(extension, 'parseHTML', context));\r\n        if (parseHTML) {\r\n            schema.parseDOM = parseHTML.map(parseRule => injectExtensionAttributesToParseRule(parseRule, extensionAttributes));\r\n        }\r\n        const renderHTML = getExtensionField(extension, 'renderHTML', context);\r\n        if (renderHTML) {\r\n            schema.toDOM = node => renderHTML({\r\n                node,\r\n                HTMLAttributes: getRenderedAttributes(node, extensionAttributes),\r\n            });\r\n        }\r\n        const renderText = getExtensionField(extension, 'renderText', context);\r\n        if (renderText) {\r\n            schema.toText = renderText;\r\n        }\r\n        return [extension.name, schema];\r\n    }));\r\n    const marks = Object.fromEntries(markExtensions.map(extension => {\r\n        const extensionAttributes = allAttributes.filter(attribute => attribute.type === extension.name);\r\n        const context = {\r\n            name: extension.name,\r\n            options: extension.options,\r\n            storage: extension.storage,\r\n            editor,\r\n        };\r\n        const extraMarkFields = extensions.reduce((fields, e) => {\r\n            const extendMarkSchema = getExtensionField(e, 'extendMarkSchema', context);\r\n            return {\r\n                ...fields,\r\n                ...(extendMarkSchema ? extendMarkSchema(extension) : {}),\r\n            };\r\n        }, {});\r\n        const schema = cleanUpSchemaItem({\r\n            ...extraMarkFields,\r\n            inclusive: callOrReturn(getExtensionField(extension, 'inclusive', context)),\r\n            excludes: callOrReturn(getExtensionField(extension, 'excludes', context)),\r\n            group: callOrReturn(getExtensionField(extension, 'group', context)),\r\n            spanning: callOrReturn(getExtensionField(extension, 'spanning', context)),\r\n            code: callOrReturn(getExtensionField(extension, 'code', context)),\r\n            attrs: Object.fromEntries(extensionAttributes.map(extensionAttribute => {\r\n                var _a;\r\n                return [extensionAttribute.name, { default: (_a = extensionAttribute === null || extensionAttribute === void 0 ? void 0 : extensionAttribute.attribute) === null || _a === void 0 ? void 0 : _a.default }];\r\n            })),\r\n        });\r\n        const parseHTML = callOrReturn(getExtensionField(extension, 'parseHTML', context));\r\n        if (parseHTML) {\r\n            schema.parseDOM = parseHTML.map(parseRule => injectExtensionAttributesToParseRule(parseRule, extensionAttributes));\r\n        }\r\n        const renderHTML = getExtensionField(extension, 'renderHTML', context);\r\n        if (renderHTML) {\r\n            schema.toDOM = mark => renderHTML({\r\n                mark,\r\n                HTMLAttributes: getRenderedAttributes(mark, extensionAttributes),\r\n            });\r\n        }\r\n        return [extension.name, schema];\r\n    }));\r\n    return new Schema({\r\n        topNode,\r\n        nodes,\r\n        marks,\r\n    });\r\n}\n\nfunction getSchemaTypeByName(name, schema) {\r\n    return schema.nodes[name] || schema.marks[name] || null;\r\n}\n\nfunction isExtensionRulesEnabled(extension, enabled) {\r\n    if (Array.isArray(enabled)) {\r\n        return enabled.some(enabledExtension => {\r\n            const name = typeof enabledExtension === 'string'\r\n                ? enabledExtension\r\n                : enabledExtension.name;\r\n            return name === extension.name;\r\n        });\r\n    }\r\n    return enabled;\r\n}\n\nconst getTextContentFromNodes = ($from, maxMatch = 500) => {\r\n    let textBefore = '';\r\n    const sliceEndPos = $from.parentOffset;\r\n    $from.parent.nodesBetween(Math.max(0, sliceEndPos - maxMatch), sliceEndPos, (node, pos, parent, index) => {\r\n        var _a, _b;\r\n        const chunk = ((_b = (_a = node.type.spec).toText) === null || _b === void 0 ? void 0 : _b.call(_a, {\r\n            node,\r\n            pos,\r\n            parent,\r\n            index,\r\n        }))\r\n            || node.textContent\r\n            || '%leaf%';\r\n        textBefore += chunk.slice(0, Math.max(0, sliceEndPos - pos));\r\n    });\r\n    return textBefore;\r\n};\n\nfunction isRegExp(value) {\r\n    return Object.prototype.toString.call(value) === '[object RegExp]';\r\n}\n\nclass InputRule {\r\n    constructor(config) {\r\n        this.find = config.find;\r\n        this.handler = config.handler;\r\n    }\r\n}\r\nconst inputRuleMatcherHandler = (text, find) => {\r\n    if (isRegExp(find)) {\r\n        return find.exec(text);\r\n    }\r\n    const inputRuleMatch = find(text);\r\n    if (!inputRuleMatch) {\r\n        return null;\r\n    }\r\n    const result = [inputRuleMatch.text];\r\n    result.index = inputRuleMatch.index;\r\n    result.input = text;\r\n    result.data = inputRuleMatch.data;\r\n    if (inputRuleMatch.replaceWith) {\r\n        if (!inputRuleMatch.text.includes(inputRuleMatch.replaceWith)) {\r\n            console.warn('[tiptap warn]: \"inputRuleMatch.replaceWith\" must be part of \"inputRuleMatch.text\".');\r\n        }\r\n        result.push(inputRuleMatch.replaceWith);\r\n    }\r\n    return result;\r\n};\r\nfunction run$1(config) {\r\n    var _a;\r\n    const { editor, from, to, text, rules, plugin, } = config;\r\n    const { view } = editor;\r\n    if (view.composing) {\r\n        return false;\r\n    }\r\n    const $from = view.state.doc.resolve(from);\r\n    if (\r\n    // check for code node\r\n    $from.parent.type.spec.code\r\n        // check for code mark\r\n        || !!((_a = ($from.nodeBefore || $from.nodeAfter)) === null || _a === void 0 ? void 0 : _a.marks.find(mark => mark.type.spec.code))) {\r\n        return false;\r\n    }\r\n    let matched = false;\r\n    const textBefore = getTextContentFromNodes($from) + text;\r\n    rules.forEach(rule => {\r\n        if (matched) {\r\n            return;\r\n        }\r\n        const match = inputRuleMatcherHandler(textBefore, rule.find);\r\n        if (!match) {\r\n            return;\r\n        }\r\n        const tr = view.state.tr;\r\n        const state = createChainableState({\r\n            state: view.state,\r\n            transaction: tr,\r\n        });\r\n        const range = {\r\n            from: from - (match[0].length - text.length),\r\n            to,\r\n        };\r\n        const { commands, chain, can } = new CommandManager({\r\n            editor,\r\n            state,\r\n        });\r\n        const handler = rule.handler({\r\n            state,\r\n            range,\r\n            match,\r\n            commands,\r\n            chain,\r\n            can,\r\n        });\r\n        // stop if there are no changes\r\n        if (handler === null || !tr.steps.length) {\r\n            return;\r\n        }\r\n        // store transform as meta data\r\n        // so we can undo input rules within the `undoInputRules` command\r\n        tr.setMeta(plugin, {\r\n            transform: tr,\r\n            from,\r\n            to,\r\n            text,\r\n        });\r\n        view.dispatch(tr);\r\n        matched = true;\r\n    });\r\n    return matched;\r\n}\r\n/**\r\n * Create an input rules plugin. When enabled, it will cause text\r\n * input that matches any of the given rules to trigger the rule’s\r\n * action.\r\n */\r\nfunction inputRulesPlugin(props) {\r\n    const { editor, rules } = props;\r\n    const plugin = new Plugin({\r\n        state: {\r\n            init() {\r\n                return null;\r\n            },\r\n            apply(tr, prev) {\r\n                const stored = tr.getMeta(plugin);\r\n                if (stored) {\r\n                    return stored;\r\n                }\r\n                // if InputRule is triggered by insertContent()\r\n                const simulatedInputMeta = tr.getMeta('applyInputRules');\r\n                const isSimulatedInput = !!simulatedInputMeta;\r\n                if (isSimulatedInput) {\r\n                    setTimeout(() => {\r\n                        const { from, text } = simulatedInputMeta;\r\n                        const to = from + text.length;\r\n                        run$1({\r\n                            editor,\r\n                            from,\r\n                            to,\r\n                            text,\r\n                            rules,\r\n                            plugin,\r\n                        });\r\n                    });\r\n                }\r\n                return tr.selectionSet || tr.docChanged ? null : prev;\r\n            },\r\n        },\r\n        props: {\r\n            handleTextInput(view, from, to, text) {\r\n                return run$1({\r\n                    editor,\r\n                    from,\r\n                    to,\r\n                    text,\r\n                    rules,\r\n                    plugin,\r\n                });\r\n            },\r\n            handleDOMEvents: {\r\n                compositionend: view => {\r\n                    setTimeout(() => {\r\n                        const { $cursor } = view.state.selection;\r\n                        if ($cursor) {\r\n                            run$1({\r\n                                editor,\r\n                                from: $cursor.pos,\r\n                                to: $cursor.pos,\r\n                                text: '',\r\n                                rules,\r\n                                plugin,\r\n                            });\r\n                        }\r\n                    });\r\n                    return false;\r\n                },\r\n            },\r\n            // add support for input rules to trigger on enter\r\n            // this is useful for example for code blocks\r\n            handleKeyDown(view, event) {\r\n                if (event.key !== 'Enter') {\r\n                    return false;\r\n                }\r\n                const { $cursor } = view.state.selection;\r\n                if ($cursor) {\r\n                    return run$1({\r\n                        editor,\r\n                        from: $cursor.pos,\r\n                        to: $cursor.pos,\r\n                        text: '\\n',\r\n                        rules,\r\n                        plugin,\r\n                    });\r\n                }\r\n                return false;\r\n            },\r\n        },\r\n        // @ts-ignore\r\n        isInputRules: true,\r\n    });\r\n    return plugin;\r\n}\n\nfunction isNumber(value) {\r\n    return typeof value === 'number';\r\n}\n\nclass PasteRule {\r\n    constructor(config) {\r\n        this.find = config.find;\r\n        this.handler = config.handler;\r\n    }\r\n}\r\nconst pasteRuleMatcherHandler = (text, find, event) => {\r\n    if (isRegExp(find)) {\r\n        return [...text.matchAll(find)];\r\n    }\r\n    const matches = find(text, event);\r\n    if (!matches) {\r\n        return [];\r\n    }\r\n    return matches.map(pasteRuleMatch => {\r\n        const result = [pasteRuleMatch.text];\r\n        result.index = pasteRuleMatch.index;\r\n        result.input = text;\r\n        result.data = pasteRuleMatch.data;\r\n        if (pasteRuleMatch.replaceWith) {\r\n            if (!pasteRuleMatch.text.includes(pasteRuleMatch.replaceWith)) {\r\n                console.warn('[tiptap warn]: \"pasteRuleMatch.replaceWith\" must be part of \"pasteRuleMatch.text\".');\r\n            }\r\n            result.push(pasteRuleMatch.replaceWith);\r\n        }\r\n        return result;\r\n    });\r\n};\r\nfunction run(config) {\r\n    const { editor, state, from, to, rule, pasteEvent, dropEvent, } = config;\r\n    const { commands, chain, can } = new CommandManager({\r\n        editor,\r\n        state,\r\n    });\r\n    const handlers = [];\r\n    state.doc.nodesBetween(from, to, (node, pos) => {\r\n        if (!node.isTextblock || node.type.spec.code) {\r\n            return;\r\n        }\r\n        const resolvedFrom = Math.max(from, pos);\r\n        const resolvedTo = Math.min(to, pos + node.content.size);\r\n        const textToMatch = node.textBetween(resolvedFrom - pos, resolvedTo - pos, undefined, '\\ufffc');\r\n        const matches = pasteRuleMatcherHandler(textToMatch, rule.find, pasteEvent);\r\n        matches.forEach(match => {\r\n            if (match.index === undefined) {\r\n                return;\r\n            }\r\n            const start = resolvedFrom + match.index + 1;\r\n            const end = start + match[0].length;\r\n            const range = {\r\n                from: state.tr.mapping.map(start),\r\n                to: state.tr.mapping.map(end),\r\n            };\r\n            const handler = rule.handler({\r\n                state,\r\n                range,\r\n                match,\r\n                commands,\r\n                chain,\r\n                can,\r\n                pasteEvent,\r\n                dropEvent,\r\n            });\r\n            handlers.push(handler);\r\n        });\r\n    });\r\n    const success = handlers.every(handler => handler !== null);\r\n    return success;\r\n}\r\nconst createClipboardPasteEvent = (text) => {\r\n    var _a;\r\n    const event = new ClipboardEvent('paste', {\r\n        clipboardData: new DataTransfer(),\r\n    });\r\n    (_a = event.clipboardData) === null || _a === void 0 ? void 0 : _a.setData('text/html', text);\r\n    return event;\r\n};\r\n/**\r\n * Create an paste rules plugin. When enabled, it will cause pasted\r\n * text that matches any of the given rules to trigger the rule’s\r\n * action.\r\n */\r\nfunction pasteRulesPlugin(props) {\r\n    const { editor, rules } = props;\r\n    let dragSourceElement = null;\r\n    let isPastedFromProseMirror = false;\r\n    let isDroppedFromProseMirror = false;\r\n    let pasteEvent = typeof ClipboardEvent !== 'undefined' ? new ClipboardEvent('paste') : null;\r\n    let dropEvent = typeof DragEvent !== 'undefined' ? new DragEvent('drop') : null;\r\n    const processEvent = ({ state, from, to, rule, pasteEvt, }) => {\r\n        const tr = state.tr;\r\n        const chainableState = createChainableState({\r\n            state,\r\n            transaction: tr,\r\n        });\r\n        const handler = run({\r\n            editor,\r\n            state: chainableState,\r\n            from: Math.max(from - 1, 0),\r\n            to: to.b - 1,\r\n            rule,\r\n            pasteEvent: pasteEvt,\r\n            dropEvent,\r\n        });\r\n        if (!handler || !tr.steps.length) {\r\n            return;\r\n        }\r\n        dropEvent = typeof DragEvent !== 'undefined' ? new DragEvent('drop') : null;\r\n        pasteEvent = typeof ClipboardEvent !== 'undefined' ? new ClipboardEvent('paste') : null;\r\n        return tr;\r\n    };\r\n    const plugins = rules.map(rule => {\r\n        return new Plugin({\r\n            // we register a global drag handler to track the current drag source element\r\n            view(view) {\r\n                const handleDragstart = (event) => {\r\n                    var _a;\r\n                    dragSourceElement = ((_a = view.dom.parentElement) === null || _a === void 0 ? void 0 : _a.contains(event.target))\r\n                        ? view.dom.parentElement\r\n                        : null;\r\n                };\r\n                window.addEventListener('dragstart', handleDragstart);\r\n                return {\r\n                    destroy() {\r\n                        window.removeEventListener('dragstart', handleDragstart);\r\n                    },\r\n                };\r\n            },\r\n            props: {\r\n                handleDOMEvents: {\r\n                    drop: (view, event) => {\r\n                        isDroppedFromProseMirror = dragSourceElement === view.dom.parentElement;\r\n                        dropEvent = event;\r\n                        return false;\r\n                    },\r\n                    paste: (_view, event) => {\r\n                        var _a;\r\n                        const html = (_a = event.clipboardData) === null || _a === void 0 ? void 0 : _a.getData('text/html');\r\n                        pasteEvent = event;\r\n                        isPastedFromProseMirror = !!(html === null || html === void 0 ? void 0 : html.includes('data-pm-slice'));\r\n                        return false;\r\n                    },\r\n                },\r\n            },\r\n            appendTransaction: (transactions, oldState, state) => {\r\n                const transaction = transactions[0];\r\n                const isPaste = transaction.getMeta('uiEvent') === 'paste' && !isPastedFromProseMirror;\r\n                const isDrop = transaction.getMeta('uiEvent') === 'drop' && !isDroppedFromProseMirror;\r\n                // if PasteRule is triggered by insertContent()\r\n                const simulatedPasteMeta = transaction.getMeta('applyPasteRules');\r\n                const isSimulatedPaste = !!simulatedPasteMeta;\r\n                if (!isPaste && !isDrop && !isSimulatedPaste) {\r\n                    return;\r\n                }\r\n                // Handle simulated paste\r\n                if (isSimulatedPaste) {\r\n                    const { from, text } = simulatedPasteMeta;\r\n                    const to = from + text.length;\r\n                    const pasteEvt = createClipboardPasteEvent(text);\r\n                    return processEvent({\r\n                        rule,\r\n                        state,\r\n                        from,\r\n                        to: { b: to },\r\n                        pasteEvt,\r\n                    });\r\n                }\r\n                // handle actual paste/drop\r\n                const from = oldState.doc.content.findDiffStart(state.doc.content);\r\n                const to = oldState.doc.content.findDiffEnd(state.doc.content);\r\n                // stop if there is no changed range\r\n                if (!isNumber(from) || !to || from === to.b) {\r\n                    return;\r\n                }\r\n                return processEvent({\r\n                    rule,\r\n                    state,\r\n                    from,\r\n                    to,\r\n                    pasteEvt: pasteEvent,\r\n                });\r\n            },\r\n        });\r\n    });\r\n    return plugins;\r\n}\n\nfunction findDuplicates(items) {\r\n    const filtered = items.filter((el, index) => items.indexOf(el) !== index);\r\n    return [...new Set(filtered)];\r\n}\n\nclass ExtensionManager {\r\n    constructor(extensions, editor) {\r\n        this.splittableMarks = [];\r\n        this.editor = editor;\r\n        this.extensions = ExtensionManager.resolve(extensions);\r\n        this.schema = getSchemaByResolvedExtensions(this.extensions, editor);\r\n        this.extensions.forEach(extension => {\r\n            var _a;\r\n            // store extension storage in editor\r\n            this.editor.extensionStorage[extension.name] = extension.storage;\r\n            const context = {\r\n                name: extension.name,\r\n                options: extension.options,\r\n                storage: extension.storage,\r\n                editor: this.editor,\r\n                type: getSchemaTypeByName(extension.name, this.schema),\r\n            };\r\n            if (extension.type === 'mark') {\r\n                const keepOnSplit = (_a = callOrReturn(getExtensionField(extension, 'keepOnSplit', context))) !== null && _a !== void 0 ? _a : true;\r\n                if (keepOnSplit) {\r\n                    this.splittableMarks.push(extension.name);\r\n                }\r\n            }\r\n            const onBeforeCreate = getExtensionField(extension, 'onBeforeCreate', context);\r\n            if (onBeforeCreate) {\r\n                this.editor.on('beforeCreate', onBeforeCreate);\r\n            }\r\n            const onCreate = getExtensionField(extension, 'onCreate', context);\r\n            if (onCreate) {\r\n                this.editor.on('create', onCreate);\r\n            }\r\n            const onUpdate = getExtensionField(extension, 'onUpdate', context);\r\n            if (onUpdate) {\r\n                this.editor.on('update', onUpdate);\r\n            }\r\n            const onSelectionUpdate = getExtensionField(extension, 'onSelectionUpdate', context);\r\n            if (onSelectionUpdate) {\r\n                this.editor.on('selectionUpdate', onSelectionUpdate);\r\n            }\r\n            const onTransaction = getExtensionField(extension, 'onTransaction', context);\r\n            if (onTransaction) {\r\n                this.editor.on('transaction', onTransaction);\r\n            }\r\n            const onFocus = getExtensionField(extension, 'onFocus', context);\r\n            if (onFocus) {\r\n                this.editor.on('focus', onFocus);\r\n            }\r\n            const onBlur = getExtensionField(extension, 'onBlur', context);\r\n            if (onBlur) {\r\n                this.editor.on('blur', onBlur);\r\n            }\r\n            const onDestroy = getExtensionField(extension, 'onDestroy', context);\r\n            if (onDestroy) {\r\n                this.editor.on('destroy', onDestroy);\r\n            }\r\n        });\r\n    }\r\n    static resolve(extensions) {\r\n        const resolvedExtensions = ExtensionManager.sort(ExtensionManager.flatten(extensions));\r\n        const duplicatedNames = findDuplicates(resolvedExtensions.map(extension => extension.name));\r\n        if (duplicatedNames.length) {\r\n            console.warn(`[tiptap warn]: Duplicate extension names found: [${duplicatedNames\r\n                .map(item => `'${item}'`)\r\n                .join(', ')}]. This can lead to issues.`);\r\n        }\r\n        return resolvedExtensions;\r\n    }\r\n    static flatten(extensions) {\r\n        return (extensions\r\n            .map(extension => {\r\n            const context = {\r\n                name: extension.name,\r\n                options: extension.options,\r\n                storage: extension.storage,\r\n            };\r\n            const addExtensions = getExtensionField(extension, 'addExtensions', context);\r\n            if (addExtensions) {\r\n                return [extension, ...this.flatten(addExtensions())];\r\n            }\r\n            return extension;\r\n        })\r\n            // `Infinity` will break TypeScript so we set a number that is probably high enough\r\n            .flat(10));\r\n    }\r\n    static sort(extensions) {\r\n        const defaultPriority = 100;\r\n        return extensions.sort((a, b) => {\r\n            const priorityA = getExtensionField(a, 'priority') || defaultPriority;\r\n            const priorityB = getExtensionField(b, 'priority') || defaultPriority;\r\n            if (priorityA > priorityB) {\r\n                return -1;\r\n            }\r\n            if (priorityA < priorityB) {\r\n                return 1;\r\n            }\r\n            return 0;\r\n        });\r\n    }\r\n    get commands() {\r\n        return this.extensions.reduce((commands, extension) => {\r\n            const context = {\r\n                name: extension.name,\r\n                options: extension.options,\r\n                storage: extension.storage,\r\n                editor: this.editor,\r\n                type: getSchemaTypeByName(extension.name, this.schema),\r\n            };\r\n            const addCommands = getExtensionField(extension, 'addCommands', context);\r\n            if (!addCommands) {\r\n                return commands;\r\n            }\r\n            return {\r\n                ...commands,\r\n                ...addCommands(),\r\n            };\r\n        }, {});\r\n    }\r\n    get plugins() {\r\n        const { editor } = this;\r\n        // With ProseMirror, first plugins within an array are executed first.\r\n        // In Tiptap, we provide the ability to override plugins,\r\n        // so it feels more natural to run plugins at the end of an array first.\r\n        // That’s why we have to reverse the `extensions` array and sort again\r\n        // based on the `priority` option.\r\n        const extensions = ExtensionManager.sort([...this.extensions].reverse());\r\n        const inputRules = [];\r\n        const pasteRules = [];\r\n        const allPlugins = extensions\r\n            .map(extension => {\r\n            const context = {\r\n                name: extension.name,\r\n                options: extension.options,\r\n                storage: extension.storage,\r\n                editor,\r\n                type: getSchemaTypeByName(extension.name, this.schema),\r\n            };\r\n            const plugins = [];\r\n            const addKeyboardShortcuts = getExtensionField(extension, 'addKeyboardShortcuts', context);\r\n            let defaultBindings = {};\r\n            // bind exit handling\r\n            if (extension.type === 'mark' && extension.config.exitable) {\r\n                defaultBindings.ArrowRight = () => Mark.handleExit({ editor, mark: extension });\r\n            }\r\n            if (addKeyboardShortcuts) {\r\n                const bindings = Object.fromEntries(Object.entries(addKeyboardShortcuts()).map(([shortcut, method]) => {\r\n                    return [shortcut, () => method({ editor })];\r\n                }));\r\n                defaultBindings = { ...defaultBindings, ...bindings };\r\n            }\r\n            const keyMapPlugin = keymap(defaultBindings);\r\n            plugins.push(keyMapPlugin);\r\n            const addInputRules = getExtensionField(extension, 'addInputRules', context);\r\n            if (isExtensionRulesEnabled(extension, editor.options.enableInputRules) && addInputRules) {\r\n                inputRules.push(...addInputRules());\r\n            }\r\n            const addPasteRules = getExtensionField(extension, 'addPasteRules', context);\r\n            if (isExtensionRulesEnabled(extension, editor.options.enablePasteRules) && addPasteRules) {\r\n                pasteRules.push(...addPasteRules());\r\n            }\r\n            const addProseMirrorPlugins = getExtensionField(extension, 'addProseMirrorPlugins', context);\r\n            if (addProseMirrorPlugins) {\r\n                const proseMirrorPlugins = addProseMirrorPlugins();\r\n                plugins.push(...proseMirrorPlugins);\r\n            }\r\n            return plugins;\r\n        })\r\n            .flat();\r\n        return [\r\n            inputRulesPlugin({\r\n                editor,\r\n                rules: inputRules,\r\n            }),\r\n            ...pasteRulesPlugin({\r\n                editor,\r\n                rules: pasteRules,\r\n            }),\r\n            ...allPlugins,\r\n        ];\r\n    }\r\n    get attributes() {\r\n        return getAttributesFromExtensions(this.extensions);\r\n    }\r\n    get nodeViews() {\r\n        const { editor } = this;\r\n        const { nodeExtensions } = splitExtensions(this.extensions);\r\n        return Object.fromEntries(nodeExtensions\r\n            .filter(extension => !!getExtensionField(extension, 'addNodeView'))\r\n            .map(extension => {\r\n            const extensionAttributes = this.attributes.filter(attribute => attribute.type === extension.name);\r\n            const context = {\r\n                name: extension.name,\r\n                options: extension.options,\r\n                storage: extension.storage,\r\n                editor,\r\n                type: getNodeType(extension.name, this.schema),\r\n            };\r\n            const addNodeView = getExtensionField(extension, 'addNodeView', context);\r\n            if (!addNodeView) {\r\n                return [];\r\n            }\r\n            const nodeview = (node, view, getPos, decorations) => {\r\n                const HTMLAttributes = getRenderedAttributes(node, extensionAttributes);\r\n                return addNodeView()({\r\n                    editor,\r\n                    node,\r\n                    getPos,\r\n                    decorations,\r\n                    HTMLAttributes,\r\n                    extension,\r\n                });\r\n            };\r\n            return [extension.name, nodeview];\r\n        }));\r\n    }\r\n}\n\n// see: https://github.com/mesqueeb/is-what/blob/88d6e4ca92fb2baab6003c54e02eedf4e729e5ab/src/index.ts\r\nfunction getType(value) {\r\n    return Object.prototype.toString.call(value).slice(8, -1);\r\n}\r\nfunction isPlainObject(value) {\r\n    if (getType(value) !== 'Object') {\r\n        return false;\r\n    }\r\n    return value.constructor === Object && Object.getPrototypeOf(value) === Object.prototype;\r\n}\n\nfunction mergeDeep(target, source) {\r\n    const output = { ...target };\r\n    if (isPlainObject(target) && isPlainObject(source)) {\r\n        Object.keys(source).forEach(key => {\r\n            if (isPlainObject(source[key])) {\r\n                if (!(key in target)) {\r\n                    Object.assign(output, { [key]: source[key] });\r\n                }\r\n                else {\r\n                    output[key] = mergeDeep(target[key], source[key]);\r\n                }\r\n            }\r\n            else {\r\n                Object.assign(output, { [key]: source[key] });\r\n            }\r\n        });\r\n    }\r\n    return output;\r\n}\n\nclass Extension {\r\n    constructor(config = {}) {\r\n        this.type = 'extension';\r\n        this.name = 'extension';\r\n        this.parent = null;\r\n        this.child = null;\r\n        this.config = {\r\n            name: this.name,\r\n            defaultOptions: {},\r\n        };\r\n        this.config = {\r\n            ...this.config,\r\n            ...config,\r\n        };\r\n        this.name = this.config.name;\r\n        if (config.defaultOptions && Object.keys(config.defaultOptions).length > 0) {\r\n            console.warn(`[tiptap warn]: BREAKING CHANGE: \"defaultOptions\" is deprecated. Please use \"addOptions\" instead. Found in extension: \"${this.name}\".`);\r\n        }\r\n        // TODO: remove `addOptions` fallback\r\n        this.options = this.config.defaultOptions;\r\n        if (this.config.addOptions) {\r\n            this.options = callOrReturn(getExtensionField(this, 'addOptions', {\r\n                name: this.name,\r\n            }));\r\n        }\r\n        this.storage = callOrReturn(getExtensionField(this, 'addStorage', {\r\n            name: this.name,\r\n            options: this.options,\r\n        })) || {};\r\n    }\r\n    static create(config = {}) {\r\n        return new Extension(config);\r\n    }\r\n    configure(options = {}) {\r\n        // return a new instance so we can use the same extension\r\n        // with different calls of `configure`\r\n        const extension = this.extend();\r\n        extension.options = mergeDeep(this.options, options);\r\n        extension.storage = callOrReturn(getExtensionField(extension, 'addStorage', {\r\n            name: extension.name,\r\n            options: extension.options,\r\n        }));\r\n        return extension;\r\n    }\r\n    extend(extendedConfig = {}) {\r\n        const extension = new Extension({ ...this.config, ...extendedConfig });\r\n        extension.parent = this;\r\n        this.child = extension;\r\n        extension.name = extendedConfig.name ? extendedConfig.name : extension.parent.name;\r\n        if (extendedConfig.defaultOptions) {\r\n            console.warn(`[tiptap warn]: BREAKING CHANGE: \"defaultOptions\" is deprecated. Please use \"addOptions\" instead. Found in extension: \"${extension.name}\".`);\r\n        }\r\n        extension.options = callOrReturn(getExtensionField(extension, 'addOptions', {\r\n            name: extension.name,\r\n        }));\r\n        extension.storage = callOrReturn(getExtensionField(extension, 'addStorage', {\r\n            name: extension.name,\r\n            options: extension.options,\r\n        }));\r\n        return extension;\r\n    }\r\n}\n\nfunction getTextBetween(startNode, range, options) {\r\n    const { from, to } = range;\r\n    const { blockSeparator = '\\n\\n', textSerializers = {} } = options || {};\r\n    let text = '';\r\n    let separated = true;\r\n    startNode.nodesBetween(from, to, (node, pos, parent, index) => {\r\n        var _a;\r\n        const textSerializer = textSerializers === null || textSerializers === void 0 ? void 0 : textSerializers[node.type.name];\r\n        if (textSerializer) {\r\n            if (node.isBlock && !separated) {\r\n                text += blockSeparator;\r\n                separated = true;\r\n            }\r\n            if (parent) {\r\n                text += textSerializer({\r\n                    node,\r\n                    pos,\r\n                    parent,\r\n                    index,\r\n                    range,\r\n                });\r\n            }\r\n            // do not descend into child nodes when there exists a serializer\r\n            return false;\r\n        }\r\n        if (node.isText) {\r\n            text += (_a = node === null || node === void 0 ? void 0 : node.text) === null || _a === void 0 ? void 0 : _a.slice(Math.max(from, pos) - pos, to - pos); // eslint-disable-line\r\n            separated = false;\r\n        }\r\n        else if (node.isBlock && !separated) {\r\n            text += blockSeparator;\r\n            separated = true;\r\n        }\r\n    });\r\n    return text;\r\n}\n\nfunction getTextSerializersFromSchema(schema) {\r\n    return Object.fromEntries(Object.entries(schema.nodes)\r\n        .filter(([, node]) => node.spec.toText)\r\n        .map(([name, node]) => [name, node.spec.toText]));\r\n}\n\nconst ClipboardTextSerializer = Extension.create({\r\n    name: 'clipboardTextSerializer',\r\n    addOptions() {\r\n        return {\r\n            blockSeparator: undefined,\r\n        };\r\n    },\r\n    addProseMirrorPlugins() {\r\n        return [\r\n            new Plugin({\r\n                key: new PluginKey('clipboardTextSerializer'),\r\n                props: {\r\n                    clipboardTextSerializer: () => {\r\n                        const { editor } = this;\r\n                        const { state, schema } = editor;\r\n                        const { doc, selection } = state;\r\n                        const { ranges } = selection;\r\n                        const from = Math.min(...ranges.map(range => range.$from.pos));\r\n                        const to = Math.max(...ranges.map(range => range.$to.pos));\r\n                        const textSerializers = getTextSerializersFromSchema(schema);\r\n                        const range = { from, to };\r\n                        return getTextBetween(doc, range, {\r\n                            ...(this.options.blockSeparator !== undefined\r\n                                ? { blockSeparator: this.options.blockSeparator }\r\n                                : {}),\r\n                            textSerializers,\r\n                        });\r\n                    },\r\n                },\r\n            }),\r\n        ];\r\n    },\r\n});\n\nconst blur = () => ({ editor, view }) => {\r\n    requestAnimationFrame(() => {\r\n        var _a;\r\n        if (!editor.isDestroyed) {\r\n            view.dom.blur();\r\n            // Browsers should remove the caret on blur but safari does not.\r\n            // See: https://github.com/ueberdosis/tiptap/issues/2405\r\n            (_a = window === null || window === void 0 ? void 0 : window.getSelection()) === null || _a === void 0 ? void 0 : _a.removeAllRanges();\r\n        }\r\n    });\r\n    return true;\r\n};\n\nconst clearContent = (emitUpdate = false) => ({ commands }) => {\r\n    return commands.setContent('', emitUpdate);\r\n};\n\nconst clearNodes = () => ({ state, tr, dispatch }) => {\r\n    const { selection } = tr;\r\n    const { ranges } = selection;\r\n    if (!dispatch) {\r\n        return true;\r\n    }\r\n    ranges.forEach(({ $from, $to }) => {\r\n        state.doc.nodesBetween($from.pos, $to.pos, (node, pos) => {\r\n            if (node.type.isText) {\r\n                return;\r\n            }\r\n            const { doc, mapping } = tr;\r\n            const $mappedFrom = doc.resolve(mapping.map(pos));\r\n            const $mappedTo = doc.resolve(mapping.map(pos + node.nodeSize));\r\n            const nodeRange = $mappedFrom.blockRange($mappedTo);\r\n            if (!nodeRange) {\r\n                return;\r\n            }\r\n            const targetLiftDepth = liftTarget(nodeRange);\r\n            if (node.type.isTextblock) {\r\n                const { defaultType } = $mappedFrom.parent.contentMatchAt($mappedFrom.index());\r\n                tr.setNodeMarkup(nodeRange.start, defaultType);\r\n            }\r\n            if (targetLiftDepth || targetLiftDepth === 0) {\r\n                tr.lift(nodeRange, targetLiftDepth);\r\n            }\r\n        });\r\n    });\r\n    return true;\r\n};\n\nconst command = fn => props => {\r\n    return fn(props);\r\n};\n\nconst createParagraphNear = () => ({ state, dispatch }) => {\r\n    return createParagraphNear$1(state, dispatch);\r\n};\n\nconst cut = (originRange, targetPos) => ({ editor, tr }) => {\r\n    const { state } = editor;\r\n    const contentSlice = state.doc.slice(originRange.from, originRange.to);\r\n    tr.deleteRange(originRange.from, originRange.to);\r\n    const newPos = tr.mapping.map(targetPos);\r\n    tr.insert(newPos, contentSlice.content);\r\n    tr.setSelection(new TextSelection(tr.doc.resolve(newPos - 1)));\r\n    return true;\r\n};\n\nconst deleteCurrentNode = () => ({ tr, dispatch }) => {\r\n    const { selection } = tr;\r\n    const currentNode = selection.$anchor.node();\r\n    // if there is content inside the current node, break out of this command\r\n    if (currentNode.content.size > 0) {\r\n        return false;\r\n    }\r\n    const $pos = tr.selection.$anchor;\r\n    for (let depth = $pos.depth; depth > 0; depth -= 1) {\r\n        const node = $pos.node(depth);\r\n        if (node.type === currentNode.type) {\r\n            if (dispatch) {\r\n                const from = $pos.before(depth);\r\n                const to = $pos.after(depth);\r\n                tr.delete(from, to).scrollIntoView();\r\n            }\r\n            return true;\r\n        }\r\n    }\r\n    return false;\r\n};\n\nconst deleteNode = typeOrName => ({ tr, state, dispatch }) => {\r\n    const type = getNodeType(typeOrName, state.schema);\r\n    const $pos = tr.selection.$anchor;\r\n    for (let depth = $pos.depth; depth > 0; depth -= 1) {\r\n        const node = $pos.node(depth);\r\n        if (node.type === type) {\r\n            if (dispatch) {\r\n                const from = $pos.before(depth);\r\n                const to = $pos.after(depth);\r\n                tr.delete(from, to).scrollIntoView();\r\n            }\r\n            return true;\r\n        }\r\n    }\r\n    return false;\r\n};\n\nconst deleteRange = range => ({ tr, dispatch }) => {\r\n    const { from, to } = range;\r\n    if (dispatch) {\r\n        tr.delete(from, to);\r\n    }\r\n    return true;\r\n};\n\nconst deleteSelection = () => ({ state, dispatch }) => {\r\n    return deleteSelection$1(state, dispatch);\r\n};\n\nconst enter = () => ({ commands }) => {\r\n    return commands.keyboardShortcut('Enter');\r\n};\n\nconst exitCode = () => ({ state, dispatch }) => {\r\n    return exitCode$1(state, dispatch);\r\n};\n\n/**\r\n * Check if object1 includes object2\r\n * @param object1 Object\r\n * @param object2 Object\r\n */\r\nfunction objectIncludes(object1, object2, options = { strict: true }) {\r\n    const keys = Object.keys(object2);\r\n    if (!keys.length) {\r\n        return true;\r\n    }\r\n    return keys.every(key => {\r\n        if (options.strict) {\r\n            return object2[key] === object1[key];\r\n        }\r\n        if (isRegExp(object2[key])) {\r\n            return object2[key].test(object1[key]);\r\n        }\r\n        return object2[key] === object1[key];\r\n    });\r\n}\n\nfunction findMarkInSet(marks, type, attributes = {}) {\r\n    return marks.find(item => {\r\n        return item.type === type && objectIncludes(item.attrs, attributes);\r\n    });\r\n}\r\nfunction isMarkInSet(marks, type, attributes = {}) {\r\n    return !!findMarkInSet(marks, type, attributes);\r\n}\r\nfunction getMarkRange($pos, type, attributes = {}) {\r\n    if (!$pos || !type) {\r\n        return;\r\n    }\r\n    let start = $pos.parent.childAfter($pos.parentOffset);\r\n    if ($pos.parentOffset === start.offset && start.offset !== 0) {\r\n        start = $pos.parent.childBefore($pos.parentOffset);\r\n    }\r\n    if (!start.node) {\r\n        return;\r\n    }\r\n    const mark = findMarkInSet([...start.node.marks], type, attributes);\r\n    if (!mark) {\r\n        return;\r\n    }\r\n    let startIndex = start.index;\r\n    let startPos = $pos.start() + start.offset;\r\n    let endIndex = startIndex + 1;\r\n    let endPos = startPos + start.node.nodeSize;\r\n    findMarkInSet([...start.node.marks], type, attributes);\r\n    while (startIndex > 0 && mark.isInSet($pos.parent.child(startIndex - 1).marks)) {\r\n        startIndex -= 1;\r\n        startPos -= $pos.parent.child(startIndex).nodeSize;\r\n    }\r\n    while (endIndex < $pos.parent.childCount\r\n        && isMarkInSet([...$pos.parent.child(endIndex).marks], type, attributes)) {\r\n        endPos += $pos.parent.child(endIndex).nodeSize;\r\n        endIndex += 1;\r\n    }\r\n    return {\r\n        from: startPos,\r\n        to: endPos,\r\n    };\r\n}\n\nfunction getMarkType(nameOrType, schema) {\r\n    if (typeof nameOrType === 'string') {\r\n        if (!schema.marks[nameOrType]) {\r\n            throw Error(`There is no mark type named '${nameOrType}'. Maybe you forgot to add the extension?`);\r\n        }\r\n        return schema.marks[nameOrType];\r\n    }\r\n    return nameOrType;\r\n}\n\nconst extendMarkRange = (typeOrName, attributes = {}) => ({ tr, state, dispatch }) => {\r\n    const type = getMarkType(typeOrName, state.schema);\r\n    const { doc, selection } = tr;\r\n    const { $from, from, to } = selection;\r\n    if (dispatch) {\r\n        const range = getMarkRange($from, type, attributes);\r\n        if (range && range.from <= from && range.to >= to) {\r\n            const newSelection = TextSelection.create(doc, range.from, range.to);\r\n            tr.setSelection(newSelection);\r\n        }\r\n    }\r\n    return true;\r\n};\n\nconst first = commands => props => {\r\n    const items = typeof commands === 'function'\r\n        ? commands(props)\r\n        : commands;\r\n    for (let i = 0; i < items.length; i += 1) {\r\n        if (items[i](props)) {\r\n            return true;\r\n        }\r\n    }\r\n    return false;\r\n};\n\nfunction isTextSelection(value) {\r\n    return value instanceof TextSelection;\r\n}\n\nfunction minMax(value = 0, min = 0, max = 0) {\r\n    return Math.min(Math.max(value, min), max);\r\n}\n\nfunction resolveFocusPosition(doc, position = null) {\r\n    if (!position) {\r\n        return null;\r\n    }\r\n    const selectionAtStart = Selection.atStart(doc);\r\n    const selectionAtEnd = Selection.atEnd(doc);\r\n    if (position === 'start' || position === true) {\r\n        return selectionAtStart;\r\n    }\r\n    if (position === 'end') {\r\n        return selectionAtEnd;\r\n    }\r\n    const minPos = selectionAtStart.from;\r\n    const maxPos = selectionAtEnd.to;\r\n    if (position === 'all') {\r\n        return TextSelection.create(doc, minMax(0, minPos, maxPos), minMax(doc.content.size, minPos, maxPos));\r\n    }\r\n    return TextSelection.create(doc, minMax(position, minPos, maxPos), minMax(position, minPos, maxPos));\r\n}\n\nfunction isiOS() {\r\n    return [\r\n        'iPad Simulator',\r\n        'iPhone Simulator',\r\n        'iPod Simulator',\r\n        'iPad',\r\n        'iPhone',\r\n        'iPod',\r\n    ].includes(navigator.platform)\r\n        // iPad on iOS 13 detection\r\n        || (navigator.userAgent.includes('Mac') && 'ontouchend' in document);\r\n}\n\nconst focus = (position = null, options = {}) => ({ editor, view, tr, dispatch, }) => {\r\n    options = {\r\n        scrollIntoView: true,\r\n        ...options,\r\n    };\r\n    const delayedFocus = () => {\r\n        // focus within `requestAnimationFrame` breaks focus on iOS\r\n        // so we have to call this\r\n        if (isiOS()) {\r\n            view.dom.focus();\r\n        }\r\n        // For React we have to focus asynchronously. Otherwise wild things happen.\r\n        // see: https://github.com/ueberdosis/tiptap/issues/1520\r\n        requestAnimationFrame(() => {\r\n            if (!editor.isDestroyed) {\r\n                view.focus();\r\n                if (options === null || options === void 0 ? void 0 : options.scrollIntoView) {\r\n                    editor.commands.scrollIntoView();\r\n                }\r\n            }\r\n        });\r\n    };\r\n    if ((view.hasFocus() && position === null) || position === false) {\r\n        return true;\r\n    }\r\n    // we don’t try to resolve a NodeSelection or CellSelection\r\n    if (dispatch && position === null && !isTextSelection(editor.state.selection)) {\r\n        delayedFocus();\r\n        return true;\r\n    }\r\n    // pass through tr.doc instead of editor.state.doc\r\n    // since transactions could change the editors state before this command has been run\r\n    const selection = resolveFocusPosition(tr.doc, position) || editor.state.selection;\r\n    const isSameSelection = editor.state.selection.eq(selection);\r\n    if (dispatch) {\r\n        if (!isSameSelection) {\r\n            tr.setSelection(selection);\r\n        }\r\n        // `tr.setSelection` resets the stored marks\r\n        // so we’ll restore them if the selection is the same as before\r\n        if (isSameSelection && tr.storedMarks) {\r\n            tr.setStoredMarks(tr.storedMarks);\r\n        }\r\n        delayedFocus();\r\n    }\r\n    return true;\r\n};\n\nconst forEach = (items, fn) => props => {\r\n    return items.every((item, index) => fn(item, { ...props, index }));\r\n};\n\nconst insertContent = (value, options) => ({ tr, commands }) => {\r\n    return commands.insertContentAt({ from: tr.selection.from, to: tr.selection.to }, value, options);\r\n};\n\nconst removeWhitespaces = (node) => {\r\n    const children = node.childNodes;\r\n    for (let i = children.length - 1; i >= 0; i -= 1) {\r\n        const child = children[i];\r\n        if (child.nodeType === 3 && child.nodeValue && /^(\\n\\s\\s|\\n)$/.test(child.nodeValue)) {\r\n            node.removeChild(child);\r\n        }\r\n        else if (child.nodeType === 1) {\r\n            removeWhitespaces(child);\r\n        }\r\n    }\r\n    return node;\r\n};\r\nfunction elementFromString(value) {\r\n    // add a wrapper to preserve leading and trailing whitespace\r\n    const wrappedValue = `<body>${value}</body>`;\r\n    const html = new window.DOMParser().parseFromString(wrappedValue, 'text/html').body;\r\n    return removeWhitespaces(html);\r\n}\n\nfunction createNodeFromContent(content, schema, options) {\r\n    options = {\r\n        slice: true,\r\n        parseOptions: {},\r\n        ...options,\r\n    };\r\n    if (typeof content === 'object' && content !== null) {\r\n        try {\r\n            if (Array.isArray(content) && content.length > 0) {\r\n                return Fragment.fromArray(content.map(item => schema.nodeFromJSON(item)));\r\n            }\r\n            return schema.nodeFromJSON(content);\r\n        }\r\n        catch (error) {\r\n            console.warn('[tiptap warn]: Invalid content.', 'Passed value:', content, 'Error:', error);\r\n            return createNodeFromContent('', schema, options);\r\n        }\r\n    }\r\n    if (typeof content === 'string') {\r\n        const parser = DOMParser.fromSchema(schema);\r\n        return options.slice\r\n            ? parser.parseSlice(elementFromString(content), options.parseOptions).content\r\n            : parser.parse(elementFromString(content), options.parseOptions);\r\n    }\r\n    return createNodeFromContent('', schema, options);\r\n}\n\n// source: https://github.com/ProseMirror/prosemirror-state/blob/master/src/selection.js#L466\r\nfunction selectionToInsertionEnd(tr, startLen, bias) {\r\n    const last = tr.steps.length - 1;\r\n    if (last < startLen) {\r\n        return;\r\n    }\r\n    const step = tr.steps[last];\r\n    if (!(step instanceof ReplaceStep || step instanceof ReplaceAroundStep)) {\r\n        return;\r\n    }\r\n    const map = tr.mapping.maps[last];\r\n    let end = 0;\r\n    map.forEach((_from, _to, _newFrom, newTo) => {\r\n        if (end === 0) {\r\n            end = newTo;\r\n        }\r\n    });\r\n    tr.setSelection(Selection.near(tr.doc.resolve(end), bias));\r\n}\n\nconst isFragment = (nodeOrFragment) => {\r\n    return nodeOrFragment.toString().startsWith('<');\r\n};\r\nconst insertContentAt = (position, value, options) => ({ tr, dispatch, editor }) => {\r\n    if (dispatch) {\r\n        options = {\r\n            parseOptions: {},\r\n            updateSelection: true,\r\n            applyInputRules: false,\r\n            applyPasteRules: false,\r\n            ...options,\r\n        };\r\n        const content = createNodeFromContent(value, editor.schema, {\r\n            parseOptions: {\r\n                preserveWhitespace: 'full',\r\n                ...options.parseOptions,\r\n            },\r\n        });\r\n        // don’t dispatch an empty fragment because this can lead to strange errors\r\n        if (content.toString() === '<>') {\r\n            return true;\r\n        }\r\n        let { from, to } = typeof position === 'number' ? { from: position, to: position } : { from: position.from, to: position.to };\r\n        let isOnlyTextContent = true;\r\n        let isOnlyBlockContent = true;\r\n        const nodes = isFragment(content) ? content : [content];\r\n        nodes.forEach(node => {\r\n            // check if added node is valid\r\n            node.check();\r\n            isOnlyTextContent = isOnlyTextContent ? node.isText && node.marks.length === 0 : false;\r\n            isOnlyBlockContent = isOnlyBlockContent ? node.isBlock : false;\r\n        });\r\n        // check if we can replace the wrapping node by\r\n        // the newly inserted content\r\n        // example:\r\n        // replace an empty paragraph by an inserted image\r\n        // instead of inserting the image below the paragraph\r\n        if (from === to && isOnlyBlockContent) {\r\n            const { parent } = tr.doc.resolve(from);\r\n            const isEmptyTextBlock = parent.isTextblock && !parent.type.spec.code && !parent.childCount;\r\n            if (isEmptyTextBlock) {\r\n                from -= 1;\r\n                to += 1;\r\n            }\r\n        }\r\n        let newContent;\r\n        // if there is only plain text we have to use `insertText`\r\n        // because this will keep the current marks\r\n        if (isOnlyTextContent) {\r\n            // if value is string, we can use it directly\r\n            // otherwise if it is an array, we have to join it\r\n            if (Array.isArray(value)) {\r\n                newContent = value.map(v => v.text || '').join('');\r\n            }\r\n            else if (typeof value === 'object' && !!value && !!value.text) {\r\n                newContent = value.text;\r\n            }\r\n            else {\r\n                newContent = value;\r\n            }\r\n            tr.insertText(newContent, from, to);\r\n        }\r\n        else {\r\n            newContent = content;\r\n            tr.replaceWith(from, to, newContent);\r\n        }\r\n        // set cursor at end of inserted content\r\n        if (options.updateSelection) {\r\n            selectionToInsertionEnd(tr, tr.steps.length - 1, -1);\r\n        }\r\n        if (options.applyInputRules) {\r\n            tr.setMeta('applyInputRules', { from, text: newContent });\r\n        }\r\n        if (options.applyPasteRules) {\r\n            tr.setMeta('applyPasteRules', { from, text: newContent });\r\n        }\r\n    }\r\n    return true;\r\n};\n\nconst joinUp = () => ({ state, dispatch }) => {\r\n    return joinUp$1(state, dispatch);\r\n};\r\nconst joinDown = () => ({ state, dispatch }) => {\r\n    return joinDown$1(state, dispatch);\r\n};\r\nconst joinBackward = () => ({ state, dispatch }) => {\r\n    return joinBackward$1(state, dispatch);\r\n};\r\nconst joinForward = () => ({ state, dispatch }) => {\r\n    return joinForward$1(state, dispatch);\r\n};\n\nconst joinItemBackward = () => ({ tr, state, dispatch, }) => {\r\n    try {\r\n        const point = joinPoint(state.doc, state.selection.$from.pos, -1);\r\n        if (point === null || point === undefined) {\r\n            return false;\r\n        }\r\n        tr.join(point, 2);\r\n        if (dispatch) {\r\n            dispatch(tr);\r\n        }\r\n        return true;\r\n    }\r\n    catch {\r\n        return false;\r\n    }\r\n};\n\nconst joinItemForward = () => ({ state, dispatch, tr, }) => {\r\n    try {\r\n        const point = joinPoint(state.doc, state.selection.$from.pos, +1);\r\n        if (point === null || point === undefined) {\r\n            return false;\r\n        }\r\n        tr.join(point, 2);\r\n        if (dispatch) {\r\n            dispatch(tr);\r\n        }\r\n        return true;\r\n    }\r\n    catch (e) {\r\n        return false;\r\n    }\r\n};\n\nconst joinTextblockBackward = () => ({ state, dispatch }) => {\r\n    return joinTextblockBackward$1(state, dispatch);\r\n};\n\nconst joinTextblockForward = () => ({ state, dispatch }) => {\r\n    return joinTextblockForward$1(state, dispatch);\r\n};\n\nfunction isMacOS() {\r\n    return typeof navigator !== 'undefined'\r\n        ? /Mac/.test(navigator.platform)\r\n        : false;\r\n}\n\nfunction normalizeKeyName(name) {\r\n    const parts = name.split(/-(?!$)/);\r\n    let result = parts[parts.length - 1];\r\n    if (result === 'Space') {\r\n        result = ' ';\r\n    }\r\n    let alt;\r\n    let ctrl;\r\n    let shift;\r\n    let meta;\r\n    for (let i = 0; i < parts.length - 1; i += 1) {\r\n        const mod = parts[i];\r\n        if (/^(cmd|meta|m)$/i.test(mod)) {\r\n            meta = true;\r\n        }\r\n        else if (/^a(lt)?$/i.test(mod)) {\r\n            alt = true;\r\n        }\r\n        else if (/^(c|ctrl|control)$/i.test(mod)) {\r\n            ctrl = true;\r\n        }\r\n        else if (/^s(hift)?$/i.test(mod)) {\r\n            shift = true;\r\n        }\r\n        else if (/^mod$/i.test(mod)) {\r\n            if (isiOS() || isMacOS()) {\r\n                meta = true;\r\n            }\r\n            else {\r\n                ctrl = true;\r\n            }\r\n        }\r\n        else {\r\n            throw new Error(`Unrecognized modifier name: ${mod}`);\r\n        }\r\n    }\r\n    if (alt) {\r\n        result = `Alt-${result}`;\r\n    }\r\n    if (ctrl) {\r\n        result = `Ctrl-${result}`;\r\n    }\r\n    if (meta) {\r\n        result = `Meta-${result}`;\r\n    }\r\n    if (shift) {\r\n        result = `Shift-${result}`;\r\n    }\r\n    return result;\r\n}\r\nconst keyboardShortcut = name => ({ editor, view, tr, dispatch, }) => {\r\n    const keys = normalizeKeyName(name).split(/-(?!$)/);\r\n    const key = keys.find(item => !['Alt', 'Ctrl', 'Meta', 'Shift'].includes(item));\r\n    const event = new KeyboardEvent('keydown', {\r\n        key: key === 'Space'\r\n            ? ' '\r\n            : key,\r\n        altKey: keys.includes('Alt'),\r\n        ctrlKey: keys.includes('Ctrl'),\r\n        metaKey: keys.includes('Meta'),\r\n        shiftKey: keys.includes('Shift'),\r\n        bubbles: true,\r\n        cancelable: true,\r\n    });\r\n    const capturedTransaction = editor.captureTransaction(() => {\r\n        view.someProp('handleKeyDown', f => f(view, event));\r\n    });\r\n    capturedTransaction === null || capturedTransaction === void 0 ? void 0 : capturedTransaction.steps.forEach(step => {\r\n        const newStep = step.map(tr.mapping);\r\n        if (newStep && dispatch) {\r\n            tr.maybeStep(newStep);\r\n        }\r\n    });\r\n    return true;\r\n};\n\nfunction isNodeActive(state, typeOrName, attributes = {}) {\r\n    const { from, to, empty } = state.selection;\r\n    const type = typeOrName ? getNodeType(typeOrName, state.schema) : null;\r\n    const nodeRanges = [];\r\n    state.doc.nodesBetween(from, to, (node, pos) => {\r\n        if (node.isText) {\r\n            return;\r\n        }\r\n        const relativeFrom = Math.max(from, pos);\r\n        const relativeTo = Math.min(to, pos + node.nodeSize);\r\n        nodeRanges.push({\r\n            node,\r\n            from: relativeFrom,\r\n            to: relativeTo,\r\n        });\r\n    });\r\n    const selectionRange = to - from;\r\n    const matchedNodeRanges = nodeRanges\r\n        .filter(nodeRange => {\r\n        if (!type) {\r\n            return true;\r\n        }\r\n        return type.name === nodeRange.node.type.name;\r\n    })\r\n        .filter(nodeRange => objectIncludes(nodeRange.node.attrs, attributes, { strict: false }));\r\n    if (empty) {\r\n        return !!matchedNodeRanges.length;\r\n    }\r\n    const range = matchedNodeRanges.reduce((sum, nodeRange) => sum + nodeRange.to - nodeRange.from, 0);\r\n    return range >= selectionRange;\r\n}\n\nconst lift = (typeOrName, attributes = {}) => ({ state, dispatch }) => {\r\n    const type = getNodeType(typeOrName, state.schema);\r\n    const isActive = isNodeActive(state, type, attributes);\r\n    if (!isActive) {\r\n        return false;\r\n    }\r\n    return lift$1(state, dispatch);\r\n};\n\nconst liftEmptyBlock = () => ({ state, dispatch }) => {\r\n    return liftEmptyBlock$1(state, dispatch);\r\n};\n\nconst liftListItem = typeOrName => ({ state, dispatch }) => {\r\n    const type = getNodeType(typeOrName, state.schema);\r\n    return liftListItem$1(type)(state, dispatch);\r\n};\n\nconst newlineInCode = () => ({ state, dispatch }) => {\r\n    return newlineInCode$1(state, dispatch);\r\n};\n\nfunction getSchemaTypeNameByName(name, schema) {\r\n    if (schema.nodes[name]) {\r\n        return 'node';\r\n    }\r\n    if (schema.marks[name]) {\r\n        return 'mark';\r\n    }\r\n    return null;\r\n}\n\n/**\r\n * Remove a property or an array of properties from an object\r\n * @param obj Object\r\n * @param key Key to remove\r\n */\r\nfunction deleteProps(obj, propOrProps) {\r\n    const props = typeof propOrProps === 'string'\r\n        ? [propOrProps]\r\n        : propOrProps;\r\n    return Object\r\n        .keys(obj)\r\n        .reduce((newObj, prop) => {\r\n        if (!props.includes(prop)) {\r\n            newObj[prop] = obj[prop];\r\n        }\r\n        return newObj;\r\n    }, {});\r\n}\n\nconst resetAttributes = (typeOrName, attributes) => ({ tr, state, dispatch }) => {\r\n    let nodeType = null;\r\n    let markType = null;\r\n    const schemaType = getSchemaTypeNameByName(typeof typeOrName === 'string' ? typeOrName : typeOrName.name, state.schema);\r\n    if (!schemaType) {\r\n        return false;\r\n    }\r\n    if (schemaType === 'node') {\r\n        nodeType = getNodeType(typeOrName, state.schema);\r\n    }\r\n    if (schemaType === 'mark') {\r\n        markType = getMarkType(typeOrName, state.schema);\r\n    }\r\n    if (dispatch) {\r\n        tr.selection.ranges.forEach(range => {\r\n            state.doc.nodesBetween(range.$from.pos, range.$to.pos, (node, pos) => {\r\n                if (nodeType && nodeType === node.type) {\r\n                    tr.setNodeMarkup(pos, undefined, deleteProps(node.attrs, attributes));\r\n                }\r\n                if (markType && node.marks.length) {\r\n                    node.marks.forEach(mark => {\r\n                        if (markType === mark.type) {\r\n                            tr.addMark(pos, pos + node.nodeSize, markType.create(deleteProps(mark.attrs, attributes)));\r\n                        }\r\n                    });\r\n                }\r\n            });\r\n        });\r\n    }\r\n    return true;\r\n};\n\nconst scrollIntoView = () => ({ tr, dispatch }) => {\r\n    if (dispatch) {\r\n        tr.scrollIntoView();\r\n    }\r\n    return true;\r\n};\n\nconst selectAll = () => ({ tr, commands }) => {\r\n    return commands.setTextSelection({\r\n        from: 0,\r\n        to: tr.doc.content.size,\r\n    });\r\n};\n\nconst selectNodeBackward = () => ({ state, dispatch }) => {\r\n    return selectNodeBackward$1(state, dispatch);\r\n};\n\nconst selectNodeForward = () => ({ state, dispatch }) => {\r\n    return selectNodeForward$1(state, dispatch);\r\n};\n\nconst selectParentNode = () => ({ state, dispatch }) => {\r\n    return selectParentNode$1(state, dispatch);\r\n};\n\n// @ts-ignore\r\nconst selectTextblockEnd = () => ({ state, dispatch }) => {\r\n    return selectTextblockEnd$1(state, dispatch);\r\n};\n\n// @ts-ignore\r\nconst selectTextblockStart = () => ({ state, dispatch }) => {\r\n    return selectTextblockStart$1(state, dispatch);\r\n};\n\nfunction createDocument(content, schema, parseOptions = {}) {\r\n    return createNodeFromContent(content, schema, { slice: false, parseOptions });\r\n}\n\nconst setContent = (content, emitUpdate = false, parseOptions = {}) => ({ tr, editor, dispatch }) => {\r\n    const { doc } = tr;\r\n    const document = createDocument(content, editor.schema, parseOptions);\r\n    if (dispatch) {\r\n        tr.replaceWith(0, doc.content.size, document).setMeta('preventUpdate', !emitUpdate);\r\n    }\r\n    return true;\r\n};\n\nfunction getMarkAttributes(state, typeOrName) {\r\n    const type = getMarkType(typeOrName, state.schema);\r\n    const { from, to, empty } = state.selection;\r\n    const marks = [];\r\n    if (empty) {\r\n        if (state.storedMarks) {\r\n            marks.push(...state.storedMarks);\r\n        }\r\n        marks.push(...state.selection.$head.marks());\r\n    }\r\n    else {\r\n        state.doc.nodesBetween(from, to, node => {\r\n            marks.push(...node.marks);\r\n        });\r\n    }\r\n    const mark = marks.find(markItem => markItem.type.name === type.name);\r\n    if (!mark) {\r\n        return {};\r\n    }\r\n    return { ...mark.attrs };\r\n}\n\n/**\r\n * Returns a new `Transform` based on all steps of the passed transactions.\r\n */\r\nfunction combineTransactionSteps(oldDoc, transactions) {\r\n    const transform = new Transform(oldDoc);\r\n    transactions.forEach(transaction => {\r\n        transaction.steps.forEach(step => {\r\n            transform.step(step);\r\n        });\r\n    });\r\n    return transform;\r\n}\n\nfunction defaultBlockAt(match) {\r\n    for (let i = 0; i < match.edgeCount; i += 1) {\r\n        const { type } = match.edge(i);\r\n        if (type.isTextblock && !type.hasRequiredAttrs()) {\r\n            return type;\r\n        }\r\n    }\r\n    return null;\r\n}\n\nfunction findChildren(node, predicate) {\r\n    const nodesWithPos = [];\r\n    node.descendants((child, pos) => {\r\n        if (predicate(child)) {\r\n            nodesWithPos.push({\r\n                node: child,\r\n                pos,\r\n            });\r\n        }\r\n    });\r\n    return nodesWithPos;\r\n}\n\n/**\r\n * Same as `findChildren` but searches only within a `range`.\r\n */\r\nfunction findChildrenInRange(node, range, predicate) {\r\n    const nodesWithPos = [];\r\n    // if (range.from === range.to) {\r\n    //   const nodeAt = node.nodeAt(range.from)\r\n    //   if (nodeAt) {\r\n    //     nodesWithPos.push({\r\n    //       node: nodeAt,\r\n    //       pos: range.from,\r\n    //     })\r\n    //   }\r\n    // }\r\n    node.nodesBetween(range.from, range.to, (child, pos) => {\r\n        if (predicate(child)) {\r\n            nodesWithPos.push({\r\n                node: child,\r\n                pos,\r\n            });\r\n        }\r\n    });\r\n    return nodesWithPos;\r\n}\n\nfunction findParentNodeClosestToPos($pos, predicate) {\r\n    for (let i = $pos.depth; i > 0; i -= 1) {\r\n        const node = $pos.node(i);\r\n        if (predicate(node)) {\r\n            return {\r\n                pos: i > 0 ? $pos.before(i) : 0,\r\n                start: $pos.start(i),\r\n                depth: i,\r\n                node,\r\n            };\r\n        }\r\n    }\r\n}\n\nfunction findParentNode(predicate) {\r\n    return (selection) => findParentNodeClosestToPos(selection.$from, predicate);\r\n}\n\nfunction getHTMLFromFragment(fragment, schema) {\r\n    const documentFragment = DOMSerializer.fromSchema(schema).serializeFragment(fragment);\r\n    const temporaryDocument = document.implementation.createHTMLDocument();\r\n    const container = temporaryDocument.createElement('div');\r\n    container.appendChild(documentFragment);\r\n    return container.innerHTML;\r\n}\n\nfunction getSchema(extensions, editor) {\r\n    const resolvedExtensions = ExtensionManager.resolve(extensions);\r\n    return getSchemaByResolvedExtensions(resolvedExtensions, editor);\r\n}\n\nfunction generateHTML(doc, extensions) {\r\n    const schema = getSchema(extensions);\r\n    const contentNode = Node$1.fromJSON(schema, doc);\r\n    return getHTMLFromFragment(contentNode.content, schema);\r\n}\n\nfunction generateJSON(html, extensions) {\r\n    const schema = getSchema(extensions);\r\n    const dom = elementFromString(html);\r\n    return DOMParser.fromSchema(schema).parse(dom).toJSON();\r\n}\n\nfunction getText(node, options) {\r\n    const range = {\r\n        from: 0,\r\n        to: node.content.size,\r\n    };\r\n    return getTextBetween(node, range, options);\r\n}\n\nfunction generateText(doc, extensions, options) {\r\n    const { blockSeparator = '\\n\\n', textSerializers = {} } = options || {};\r\n    const schema = getSchema(extensions);\r\n    const contentNode = Node$1.fromJSON(schema, doc);\r\n    return getText(contentNode, {\r\n        blockSeparator,\r\n        textSerializers: {\r\n            ...getTextSerializersFromSchema(schema),\r\n            ...textSerializers,\r\n        },\r\n    });\r\n}\n\nfunction getNodeAttributes(state, typeOrName) {\r\n    const type = getNodeType(typeOrName, state.schema);\r\n    const { from, to } = state.selection;\r\n    const nodes = [];\r\n    state.doc.nodesBetween(from, to, node => {\r\n        nodes.push(node);\r\n    });\r\n    const node = nodes.reverse().find(nodeItem => nodeItem.type.name === type.name);\r\n    if (!node) {\r\n        return {};\r\n    }\r\n    return { ...node.attrs };\r\n}\n\nfunction getAttributes(state, typeOrName) {\r\n    const schemaType = getSchemaTypeNameByName(typeof typeOrName === 'string' ? typeOrName : typeOrName.name, state.schema);\r\n    if (schemaType === 'node') {\r\n        return getNodeAttributes(state, typeOrName);\r\n    }\r\n    if (schemaType === 'mark') {\r\n        return getMarkAttributes(state, typeOrName);\r\n    }\r\n    return {};\r\n}\n\n/**\r\n * Removes duplicated values within an array.\r\n * Supports numbers, strings and objects.\r\n */\r\nfunction removeDuplicates(array, by = JSON.stringify) {\r\n    const seen = {};\r\n    return array.filter(item => {\r\n        const key = by(item);\r\n        return Object.prototype.hasOwnProperty.call(seen, key)\r\n            ? false\r\n            : (seen[key] = true);\r\n    });\r\n}\n\n/**\r\n * Removes duplicated ranges and ranges that are\r\n * fully captured by other ranges.\r\n */\r\nfunction simplifyChangedRanges(changes) {\r\n    const uniqueChanges = removeDuplicates(changes);\r\n    return uniqueChanges.length === 1\r\n        ? uniqueChanges\r\n        : uniqueChanges.filter((change, index) => {\r\n            const rest = uniqueChanges.filter((_, i) => i !== index);\r\n            return !rest.some(otherChange => {\r\n                return change.oldRange.from >= otherChange.oldRange.from\r\n                    && change.oldRange.to <= otherChange.oldRange.to\r\n                    && change.newRange.from >= otherChange.newRange.from\r\n                    && change.newRange.to <= otherChange.newRange.to;\r\n            });\r\n        });\r\n}\r\n/**\r\n * Returns a list of changed ranges\r\n * based on the first and last state of all steps.\r\n */\r\nfunction getChangedRanges(transform) {\r\n    const { mapping, steps } = transform;\r\n    const changes = [];\r\n    mapping.maps.forEach((stepMap, index) => {\r\n        const ranges = [];\r\n        // This accounts for step changes where no range was actually altered\r\n        // e.g. when setting a mark, node attribute, etc.\r\n        // @ts-ignore\r\n        if (!stepMap.ranges.length) {\r\n            const { from, to } = steps[index];\r\n            if (from === undefined || to === undefined) {\r\n                return;\r\n            }\r\n            ranges.push({ from, to });\r\n        }\r\n        else {\r\n            stepMap.forEach((from, to) => {\r\n                ranges.push({ from, to });\r\n            });\r\n        }\r\n        ranges.forEach(({ from, to }) => {\r\n            const newStart = mapping.slice(index).map(from, -1);\r\n            const newEnd = mapping.slice(index).map(to);\r\n            const oldStart = mapping.invert().map(newStart, -1);\r\n            const oldEnd = mapping.invert().map(newEnd);\r\n            changes.push({\r\n                oldRange: {\r\n                    from: oldStart,\r\n                    to: oldEnd,\r\n                },\r\n                newRange: {\r\n                    from: newStart,\r\n                    to: newEnd,\r\n                },\r\n            });\r\n        });\r\n    });\r\n    return simplifyChangedRanges(changes);\r\n}\n\nfunction getDebugJSON(node, startOffset = 0) {\r\n    const isTopNode = node.type === node.type.schema.topNodeType;\r\n    const increment = isTopNode ? 0 : 1;\r\n    const from = startOffset;\r\n    const to = from + node.nodeSize;\r\n    const marks = node.marks.map(mark => {\r\n        const output = {\r\n            type: mark.type.name,\r\n        };\r\n        if (Object.keys(mark.attrs).length) {\r\n            output.attrs = { ...mark.attrs };\r\n        }\r\n        return output;\r\n    });\r\n    const attrs = { ...node.attrs };\r\n    const output = {\r\n        type: node.type.name,\r\n        from,\r\n        to,\r\n    };\r\n    if (Object.keys(attrs).length) {\r\n        output.attrs = attrs;\r\n    }\r\n    if (marks.length) {\r\n        output.marks = marks;\r\n    }\r\n    if (node.content.childCount) {\r\n        output.content = [];\r\n        node.forEach((child, offset) => {\r\n            var _a;\r\n            (_a = output.content) === null || _a === void 0 ? void 0 : _a.push(getDebugJSON(child, startOffset + offset + increment));\r\n        });\r\n    }\r\n    if (node.text) {\r\n        output.text = node.text;\r\n    }\r\n    return output;\r\n}\n\nfunction getMarksBetween(from, to, doc) {\r\n    const marks = [];\r\n    // get all inclusive marks on empty selection\r\n    if (from === to) {\r\n        doc\r\n            .resolve(from)\r\n            .marks()\r\n            .forEach(mark => {\r\n            const $pos = doc.resolve(from - 1);\r\n            const range = getMarkRange($pos, mark.type);\r\n            if (!range) {\r\n                return;\r\n            }\r\n            marks.push({\r\n                mark,\r\n                ...range,\r\n            });\r\n        });\r\n    }\r\n    else {\r\n        doc.nodesBetween(from, to, (node, pos) => {\r\n            if (!node || (node === null || node === void 0 ? void 0 : node.nodeSize) === undefined) {\r\n                return;\r\n            }\r\n            marks.push(...node.marks.map(mark => ({\r\n                from: pos,\r\n                to: pos + node.nodeSize,\r\n                mark,\r\n            })));\r\n        });\r\n    }\r\n    return marks;\r\n}\n\n/**\r\n * Finds the first node of a given type or name in the current selection.\r\n * @param state The editor state.\r\n * @param typeOrName The node type or name.\r\n * @param pos The position to start searching from.\r\n * @param maxDepth The maximum depth to search.\r\n * @returns The node and the depth as an array.\r\n */\r\nconst getNodeAtPosition = (state, typeOrName, pos, maxDepth = 20) => {\r\n    const $pos = state.doc.resolve(pos);\r\n    let currentDepth = maxDepth;\r\n    let node = null;\r\n    while (currentDepth > 0 && node === null) {\r\n        const currentNode = $pos.node(currentDepth);\r\n        if ((currentNode === null || currentNode === void 0 ? void 0 : currentNode.type.name) === typeOrName) {\r\n            node = currentNode;\r\n        }\r\n        else {\r\n            currentDepth -= 1;\r\n        }\r\n    }\r\n    return [node, currentDepth];\r\n};\n\nfunction getSplittedAttributes(extensionAttributes, typeName, attributes) {\r\n    return Object.fromEntries(Object\r\n        .entries(attributes)\r\n        .filter(([name]) => {\r\n        const extensionAttribute = extensionAttributes.find(item => {\r\n            return item.type === typeName && item.name === name;\r\n        });\r\n        if (!extensionAttribute) {\r\n            return false;\r\n        }\r\n        return extensionAttribute.attribute.keepOnSplit;\r\n    }));\r\n}\n\nfunction isMarkActive(state, typeOrName, attributes = {}) {\r\n    const { empty, ranges } = state.selection;\r\n    const type = typeOrName ? getMarkType(typeOrName, state.schema) : null;\r\n    if (empty) {\r\n        return !!(state.storedMarks || state.selection.$from.marks())\r\n            .filter(mark => {\r\n            if (!type) {\r\n                return true;\r\n            }\r\n            return type.name === mark.type.name;\r\n        })\r\n            .find(mark => objectIncludes(mark.attrs, attributes, { strict: false }));\r\n    }\r\n    let selectionRange = 0;\r\n    const markRanges = [];\r\n    ranges.forEach(({ $from, $to }) => {\r\n        const from = $from.pos;\r\n        const to = $to.pos;\r\n        state.doc.nodesBetween(from, to, (node, pos) => {\r\n            if (!node.isText && !node.marks.length) {\r\n                return;\r\n            }\r\n            const relativeFrom = Math.max(from, pos);\r\n            const relativeTo = Math.min(to, pos + node.nodeSize);\r\n            const range = relativeTo - relativeFrom;\r\n            selectionRange += range;\r\n            markRanges.push(...node.marks.map(mark => ({\r\n                mark,\r\n                from: relativeFrom,\r\n                to: relativeTo,\r\n            })));\r\n        });\r\n    });\r\n    if (selectionRange === 0) {\r\n        return false;\r\n    }\r\n    // calculate range of matched mark\r\n    const matchedRange = markRanges\r\n        .filter(markRange => {\r\n        if (!type) {\r\n            return true;\r\n        }\r\n        return type.name === markRange.mark.type.name;\r\n    })\r\n        .filter(markRange => objectIncludes(markRange.mark.attrs, attributes, { strict: false }))\r\n        .reduce((sum, markRange) => sum + markRange.to - markRange.from, 0);\r\n    // calculate range of marks that excludes the searched mark\r\n    // for example `code` doesn’t allow any other marks\r\n    const excludedRange = markRanges\r\n        .filter(markRange => {\r\n        if (!type) {\r\n            return true;\r\n        }\r\n        return markRange.mark.type !== type && markRange.mark.type.excludes(type);\r\n    })\r\n        .reduce((sum, markRange) => sum + markRange.to - markRange.from, 0);\r\n    // we only include the result of `excludedRange`\r\n    // if there is a match at all\r\n    const range = matchedRange > 0 ? matchedRange + excludedRange : matchedRange;\r\n    return range >= selectionRange;\r\n}\n\nfunction isActive(state, name, attributes = {}) {\r\n    if (!name) {\r\n        return isNodeActive(state, null, attributes) || isMarkActive(state, null, attributes);\r\n    }\r\n    const schemaType = getSchemaTypeNameByName(name, state.schema);\r\n    if (schemaType === 'node') {\r\n        return isNodeActive(state, name, attributes);\r\n    }\r\n    if (schemaType === 'mark') {\r\n        return isMarkActive(state, name, attributes);\r\n    }\r\n    return false;\r\n}\n\nconst isAtEndOfNode = (state, nodeType) => {\r\n    const { $from, $to, $anchor } = state.selection;\r\n    if (nodeType) {\r\n        const parentNode = findParentNode(node => node.type.name === nodeType)(state.selection);\r\n        if (!parentNode) {\r\n            return false;\r\n        }\r\n        const $parentPos = state.doc.resolve(parentNode.pos + 1);\r\n        if ($anchor.pos + 1 === $parentPos.end()) {\r\n            return true;\r\n        }\r\n        return false;\r\n    }\r\n    if ($to.parentOffset < $to.parent.nodeSize - 2 || $from.pos !== $to.pos) {\r\n        return false;\r\n    }\r\n    return true;\r\n};\n\nconst isAtStartOfNode = (state) => {\r\n    const { $from, $to } = state.selection;\r\n    if ($from.parentOffset > 0 || $from.pos !== $to.pos) {\r\n        return false;\r\n    }\r\n    return true;\r\n};\n\nfunction isList(name, extensions) {\r\n    const { nodeExtensions } = splitExtensions(extensions);\r\n    const extension = nodeExtensions.find(item => item.name === name);\r\n    if (!extension) {\r\n        return false;\r\n    }\r\n    const context = {\r\n        name: extension.name,\r\n        options: extension.options,\r\n        storage: extension.storage,\r\n    };\r\n    const group = callOrReturn(getExtensionField(extension, 'group', context));\r\n    if (typeof group !== 'string') {\r\n        return false;\r\n    }\r\n    return group.split(' ').includes('list');\r\n}\n\nfunction isNodeEmpty(node) {\r\n    var _a;\r\n    const defaultContent = (_a = node.type.createAndFill()) === null || _a === void 0 ? void 0 : _a.toJSON();\r\n    const content = node.toJSON();\r\n    return JSON.stringify(defaultContent) === JSON.stringify(content);\r\n}\n\nfunction isNodeSelection(value) {\r\n    return value instanceof NodeSelection;\r\n}\n\nfunction posToDOMRect(view, from, to) {\r\n    const minPos = 0;\r\n    const maxPos = view.state.doc.content.size;\r\n    const resolvedFrom = minMax(from, minPos, maxPos);\r\n    const resolvedEnd = minMax(to, minPos, maxPos);\r\n    const start = view.coordsAtPos(resolvedFrom);\r\n    const end = view.coordsAtPos(resolvedEnd, -1);\r\n    const top = Math.min(start.top, end.top);\r\n    const bottom = Math.max(start.bottom, end.bottom);\r\n    const left = Math.min(start.left, end.left);\r\n    const right = Math.max(start.right, end.right);\r\n    const width = right - left;\r\n    const height = bottom - top;\r\n    const x = left;\r\n    const y = top;\r\n    const data = {\r\n        top,\r\n        bottom,\r\n        left,\r\n        right,\r\n        width,\r\n        height,\r\n        x,\r\n        y,\r\n    };\r\n    return {\r\n        ...data,\r\n        toJSON: () => data,\r\n    };\r\n}\n\nfunction canSetMark(state, tr, newMarkType) {\r\n    var _a;\r\n    const { selection } = tr;\r\n    let cursor = null;\r\n    if (isTextSelection(selection)) {\r\n        cursor = selection.$cursor;\r\n    }\r\n    if (cursor) {\r\n        const currentMarks = (_a = state.storedMarks) !== null && _a !== void 0 ? _a : cursor.marks();\r\n        // There can be no current marks that exclude the new mark\r\n        return (!!newMarkType.isInSet(currentMarks)\r\n            || !currentMarks.some(mark => mark.type.excludes(newMarkType)));\r\n    }\r\n    const { ranges } = selection;\r\n    return ranges.some(({ $from, $to }) => {\r\n        let someNodeSupportsMark = $from.depth === 0\r\n            ? state.doc.inlineContent && state.doc.type.allowsMarkType(newMarkType)\r\n            : false;\r\n        state.doc.nodesBetween($from.pos, $to.pos, (node, _pos, parent) => {\r\n            // If we already found a mark that we can enable, return false to bypass the remaining search\r\n            if (someNodeSupportsMark) {\r\n                return false;\r\n            }\r\n            if (node.isInline) {\r\n                const parentAllowsMarkType = !parent || parent.type.allowsMarkType(newMarkType);\r\n                const currentMarksAllowMarkType = !!newMarkType.isInSet(node.marks)\r\n                    || !node.marks.some(otherMark => otherMark.type.excludes(newMarkType));\r\n                someNodeSupportsMark = parentAllowsMarkType && currentMarksAllowMarkType;\r\n            }\r\n            return !someNodeSupportsMark;\r\n        });\r\n        return someNodeSupportsMark;\r\n    });\r\n}\r\nconst setMark = (typeOrName, attributes = {}) => ({ tr, state, dispatch }) => {\r\n    const { selection } = tr;\r\n    const { empty, ranges } = selection;\r\n    const type = getMarkType(typeOrName, state.schema);\r\n    if (dispatch) {\r\n        if (empty) {\r\n            const oldAttributes = getMarkAttributes(state, type);\r\n            tr.addStoredMark(type.create({\r\n                ...oldAttributes,\r\n                ...attributes,\r\n            }));\r\n        }\r\n        else {\r\n            ranges.forEach(range => {\r\n                const from = range.$from.pos;\r\n                const to = range.$to.pos;\r\n                state.doc.nodesBetween(from, to, (node, pos) => {\r\n                    const trimmedFrom = Math.max(pos, from);\r\n                    const trimmedTo = Math.min(pos + node.nodeSize, to);\r\n                    const someHasMark = node.marks.find(mark => mark.type === type);\r\n                    // if there is already a mark of this type\r\n                    // we know that we have to merge its attributes\r\n                    // otherwise we add a fresh new mark\r\n                    if (someHasMark) {\r\n                        node.marks.forEach(mark => {\r\n                            if (type === mark.type) {\r\n                                tr.addMark(trimmedFrom, trimmedTo, type.create({\r\n                                    ...mark.attrs,\r\n                                    ...attributes,\r\n                                }));\r\n                            }\r\n                        });\r\n                    }\r\n                    else {\r\n                        tr.addMark(trimmedFrom, trimmedTo, type.create(attributes));\r\n                    }\r\n                });\r\n            });\r\n        }\r\n    }\r\n    return canSetMark(state, tr, type);\r\n};\n\nconst setMeta = (key, value) => ({ tr }) => {\r\n    tr.setMeta(key, value);\r\n    return true;\r\n};\n\nconst setNode = (typeOrName, attributes = {}) => ({ state, dispatch, chain }) => {\r\n    const type = getNodeType(typeOrName, state.schema);\r\n    // TODO: use a fallback like insertContent?\r\n    if (!type.isTextblock) {\r\n        console.warn('[tiptap warn]: Currently \"setNode()\" only supports text block nodes.');\r\n        return false;\r\n    }\r\n    return (chain()\r\n        // try to convert node to default node if needed\r\n        .command(({ commands }) => {\r\n        const canSetBlock = setBlockType(type, attributes)(state);\r\n        if (canSetBlock) {\r\n            return true;\r\n        }\r\n        return commands.clearNodes();\r\n    })\r\n        .command(({ state: updatedState }) => {\r\n        return setBlockType(type, attributes)(updatedState, dispatch);\r\n    })\r\n        .run());\r\n};\n\nconst setNodeSelection = position => ({ tr, dispatch }) => {\r\n    if (dispatch) {\r\n        const { doc } = tr;\r\n        const from = minMax(position, 0, doc.content.size);\r\n        const selection = NodeSelection.create(doc, from);\r\n        tr.setSelection(selection);\r\n    }\r\n    return true;\r\n};\n\nconst setTextSelection = position => ({ tr, dispatch }) => {\r\n    if (dispatch) {\r\n        const { doc } = tr;\r\n        const { from, to } = typeof position === 'number' ? { from: position, to: position } : position;\r\n        const minPos = TextSelection.atStart(doc).from;\r\n        const maxPos = TextSelection.atEnd(doc).to;\r\n        const resolvedFrom = minMax(from, minPos, maxPos);\r\n        const resolvedEnd = minMax(to, minPos, maxPos);\r\n        const selection = TextSelection.create(doc, resolvedFrom, resolvedEnd);\r\n        tr.setSelection(selection);\r\n    }\r\n    return true;\r\n};\n\nconst sinkListItem = typeOrName => ({ state, dispatch }) => {\r\n    const type = getNodeType(typeOrName, state.schema);\r\n    return sinkListItem$1(type)(state, dispatch);\r\n};\n\nfunction ensureMarks(state, splittableMarks) {\r\n    const marks = state.storedMarks || (state.selection.$to.parentOffset && state.selection.$from.marks());\r\n    if (marks) {\r\n        const filteredMarks = marks.filter(mark => splittableMarks === null || splittableMarks === void 0 ? void 0 : splittableMarks.includes(mark.type.name));\r\n        state.tr.ensureMarks(filteredMarks);\r\n    }\r\n}\r\nconst splitBlock = ({ keepMarks = true } = {}) => ({ tr, state, dispatch, editor, }) => {\r\n    const { selection, doc } = tr;\r\n    const { $from, $to } = selection;\r\n    const extensionAttributes = editor.extensionManager.attributes;\r\n    const newAttributes = getSplittedAttributes(extensionAttributes, $from.node().type.name, $from.node().attrs);\r\n    if (selection instanceof NodeSelection && selection.node.isBlock) {\r\n        if (!$from.parentOffset || !canSplit(doc, $from.pos)) {\r\n            return false;\r\n        }\r\n        if (dispatch) {\r\n            if (keepMarks) {\r\n                ensureMarks(state, editor.extensionManager.splittableMarks);\r\n            }\r\n            tr.split($from.pos).scrollIntoView();\r\n        }\r\n        return true;\r\n    }\r\n    if (!$from.parent.isBlock) {\r\n        return false;\r\n    }\r\n    if (dispatch) {\r\n        const atEnd = $to.parentOffset === $to.parent.content.size;\r\n        if (selection instanceof TextSelection) {\r\n            tr.deleteSelection();\r\n        }\r\n        const deflt = $from.depth === 0\r\n            ? undefined\r\n            : defaultBlockAt($from.node(-1).contentMatchAt($from.indexAfter(-1)));\r\n        let types = atEnd && deflt\r\n            ? [\r\n                {\r\n                    type: deflt,\r\n                    attrs: newAttributes,\r\n                },\r\n            ]\r\n            : undefined;\r\n        let can = canSplit(tr.doc, tr.mapping.map($from.pos), 1, types);\r\n        if (!types\r\n            && !can\r\n            && canSplit(tr.doc, tr.mapping.map($from.pos), 1, deflt ? [{ type: deflt }] : undefined)) {\r\n            can = true;\r\n            types = deflt\r\n                ? [\r\n                    {\r\n                        type: deflt,\r\n                        attrs: newAttributes,\r\n                    },\r\n                ]\r\n                : undefined;\r\n        }\r\n        if (can) {\r\n            tr.split(tr.mapping.map($from.pos), 1, types);\r\n            if (deflt && !atEnd && !$from.parentOffset && $from.parent.type !== deflt) {\r\n                const first = tr.mapping.map($from.before());\r\n                const $first = tr.doc.resolve(first);\r\n                if ($from.node(-1).canReplaceWith($first.index(), $first.index() + 1, deflt)) {\r\n                    tr.setNodeMarkup(tr.mapping.map($from.before()), deflt);\r\n                }\r\n            }\r\n        }\r\n        if (keepMarks) {\r\n            ensureMarks(state, editor.extensionManager.splittableMarks);\r\n        }\r\n        tr.scrollIntoView();\r\n    }\r\n    return true;\r\n};\n\nconst splitListItem = typeOrName => ({ tr, state, dispatch, editor, }) => {\r\n    var _a;\r\n    const type = getNodeType(typeOrName, state.schema);\r\n    const { $from, $to } = state.selection;\r\n    // @ts-ignore\r\n    // eslint-disable-next-line\r\n    const node = state.selection.node;\r\n    if ((node && node.isBlock) || $from.depth < 2 || !$from.sameParent($to)) {\r\n        return false;\r\n    }\r\n    const grandParent = $from.node(-1);\r\n    if (grandParent.type !== type) {\r\n        return false;\r\n    }\r\n    const extensionAttributes = editor.extensionManager.attributes;\r\n    if ($from.parent.content.size === 0 && $from.node(-1).childCount === $from.indexAfter(-1)) {\r\n        // In an empty block. If this is a nested list, the wrapping\r\n        // list item should be split. Otherwise, bail out and let next\r\n        // command handle lifting.\r\n        if ($from.depth === 2\r\n            || $from.node(-3).type !== type\r\n            || $from.index(-2) !== $from.node(-2).childCount - 1) {\r\n            return false;\r\n        }\r\n        if (dispatch) {\r\n            let wrap = Fragment.empty;\r\n            // eslint-disable-next-line\r\n            const depthBefore = $from.index(-1) ? 1 : $from.index(-2) ? 2 : 3;\r\n            // Build a fragment containing empty versions of the structure\r\n            // from the outer list item to the parent node of the cursor\r\n            for (let d = $from.depth - depthBefore; d >= $from.depth - 3; d -= 1) {\r\n                wrap = Fragment.from($from.node(d).copy(wrap));\r\n            }\r\n            // eslint-disable-next-line\r\n            const depthAfter = $from.indexAfter(-1) < $from.node(-2).childCount ? 1 : $from.indexAfter(-2) < $from.node(-3).childCount ? 2 : 3;\r\n            // Add a second list item with an empty default start node\r\n            const newNextTypeAttributes = getSplittedAttributes(extensionAttributes, $from.node().type.name, $from.node().attrs);\r\n            const nextType = ((_a = type.contentMatch.defaultType) === null || _a === void 0 ? void 0 : _a.createAndFill(newNextTypeAttributes)) || undefined;\r\n            wrap = wrap.append(Fragment.from(type.createAndFill(null, nextType) || undefined));\r\n            const start = $from.before($from.depth - (depthBefore - 1));\r\n            tr.replace(start, $from.after(-depthAfter), new Slice(wrap, 4 - depthBefore, 0));\r\n            let sel = -1;\r\n            tr.doc.nodesBetween(start, tr.doc.content.size, (n, pos) => {\r\n                if (sel > -1) {\r\n                    return false;\r\n                }\r\n                if (n.isTextblock && n.content.size === 0) {\r\n                    sel = pos + 1;\r\n                }\r\n            });\r\n            if (sel > -1) {\r\n                tr.setSelection(TextSelection.near(tr.doc.resolve(sel)));\r\n            }\r\n            tr.scrollIntoView();\r\n        }\r\n        return true;\r\n    }\r\n    const nextType = $to.pos === $from.end() ? grandParent.contentMatchAt(0).defaultType : null;\r\n    const newTypeAttributes = getSplittedAttributes(extensionAttributes, grandParent.type.name, grandParent.attrs);\r\n    const newNextTypeAttributes = getSplittedAttributes(extensionAttributes, $from.node().type.name, $from.node().attrs);\r\n    tr.delete($from.pos, $to.pos);\r\n    const types = nextType\r\n        ? [\r\n            { type, attrs: newTypeAttributes },\r\n            { type: nextType, attrs: newNextTypeAttributes },\r\n        ]\r\n        : [{ type, attrs: newTypeAttributes }];\r\n    if (!canSplit(tr.doc, $from.pos, 2)) {\r\n        return false;\r\n    }\r\n    if (dispatch) {\r\n        const { selection, storedMarks } = state;\r\n        const { splittableMarks } = editor.extensionManager;\r\n        const marks = storedMarks || (selection.$to.parentOffset && selection.$from.marks());\r\n        tr.split($from.pos, 2, types).scrollIntoView();\r\n        if (!marks || !dispatch) {\r\n            return true;\r\n        }\r\n        const filteredMarks = marks.filter(mark => splittableMarks.includes(mark.type.name));\r\n        tr.ensureMarks(filteredMarks);\r\n    }\r\n    return true;\r\n};\n\nconst joinListBackwards = (tr, listType) => {\r\n    const list = findParentNode(node => node.type === listType)(tr.selection);\r\n    if (!list) {\r\n        return true;\r\n    }\r\n    const before = tr.doc.resolve(Math.max(0, list.pos - 1)).before(list.depth);\r\n    if (before === undefined) {\r\n        return true;\r\n    }\r\n    const nodeBefore = tr.doc.nodeAt(before);\r\n    const canJoinBackwards = list.node.type === (nodeBefore === null || nodeBefore === void 0 ? void 0 : nodeBefore.type) && canJoin(tr.doc, list.pos);\r\n    if (!canJoinBackwards) {\r\n        return true;\r\n    }\r\n    tr.join(list.pos);\r\n    return true;\r\n};\r\nconst joinListForwards = (tr, listType) => {\r\n    const list = findParentNode(node => node.type === listType)(tr.selection);\r\n    if (!list) {\r\n        return true;\r\n    }\r\n    const after = tr.doc.resolve(list.start).after(list.depth);\r\n    if (after === undefined) {\r\n        return true;\r\n    }\r\n    const nodeAfter = tr.doc.nodeAt(after);\r\n    const canJoinForwards = list.node.type === (nodeAfter === null || nodeAfter === void 0 ? void 0 : nodeAfter.type) && canJoin(tr.doc, after);\r\n    if (!canJoinForwards) {\r\n        return true;\r\n    }\r\n    tr.join(after);\r\n    return true;\r\n};\r\nconst toggleList = (listTypeOrName, itemTypeOrName, keepMarks, attributes = {}) => ({ editor, tr, state, dispatch, chain, commands, can, }) => {\r\n    const { extensions, splittableMarks } = editor.extensionManager;\r\n    const listType = getNodeType(listTypeOrName, state.schema);\r\n    const itemType = getNodeType(itemTypeOrName, state.schema);\r\n    const { selection, storedMarks } = state;\r\n    const { $from, $to } = selection;\r\n    const range = $from.blockRange($to);\r\n    const marks = storedMarks || (selection.$to.parentOffset && selection.$from.marks());\r\n    if (!range) {\r\n        return false;\r\n    }\r\n    const parentList = findParentNode(node => isList(node.type.name, extensions))(selection);\r\n    if (range.depth >= 1 && parentList && range.depth - parentList.depth <= 1) {\r\n        // remove list\r\n        if (parentList.node.type === listType) {\r\n            return commands.liftListItem(itemType);\r\n        }\r\n        // change list type\r\n        if (isList(parentList.node.type.name, extensions)\r\n            && listType.validContent(parentList.node.content)\r\n            && dispatch) {\r\n            return chain()\r\n                .command(() => {\r\n                tr.setNodeMarkup(parentList.pos, listType);\r\n                return true;\r\n            })\r\n                .command(() => joinListBackwards(tr, listType))\r\n                .command(() => joinListForwards(tr, listType))\r\n                .run();\r\n        }\r\n    }\r\n    if (!keepMarks || !marks || !dispatch) {\r\n        return chain()\r\n            // try to convert node to default node if needed\r\n            .command(() => {\r\n            const canWrapInList = can().wrapInList(listType, attributes);\r\n            if (canWrapInList) {\r\n                return true;\r\n            }\r\n            return commands.clearNodes();\r\n        })\r\n            .wrapInList(listType, attributes)\r\n            .command(() => joinListBackwards(tr, listType))\r\n            .command(() => joinListForwards(tr, listType))\r\n            .run();\r\n    }\r\n    return (chain()\r\n        // try to convert node to default node if needed\r\n        .command(() => {\r\n        const canWrapInList = can().wrapInList(listType, attributes);\r\n        const filteredMarks = marks.filter(mark => splittableMarks.includes(mark.type.name));\r\n        tr.ensureMarks(filteredMarks);\r\n        if (canWrapInList) {\r\n            return true;\r\n        }\r\n        return commands.clearNodes();\r\n    })\r\n        .wrapInList(listType, attributes)\r\n        .command(() => joinListBackwards(tr, listType))\r\n        .command(() => joinListForwards(tr, listType))\r\n        .run());\r\n};\n\nconst toggleMark = (typeOrName, attributes = {}, options = {}) => ({ state, commands }) => {\r\n    const { extendEmptyMarkRange = false } = options;\r\n    const type = getMarkType(typeOrName, state.schema);\r\n    const isActive = isMarkActive(state, type, attributes);\r\n    if (isActive) {\r\n        return commands.unsetMark(type, { extendEmptyMarkRange });\r\n    }\r\n    return commands.setMark(type, attributes);\r\n};\n\nconst toggleNode = (typeOrName, toggleTypeOrName, attributes = {}) => ({ state, commands }) => {\r\n    const type = getNodeType(typeOrName, state.schema);\r\n    const toggleType = getNodeType(toggleTypeOrName, state.schema);\r\n    const isActive = isNodeActive(state, type, attributes);\r\n    if (isActive) {\r\n        return commands.setNode(toggleType);\r\n    }\r\n    return commands.setNode(type, attributes);\r\n};\n\nconst toggleWrap = (typeOrName, attributes = {}) => ({ state, commands }) => {\r\n    const type = getNodeType(typeOrName, state.schema);\r\n    const isActive = isNodeActive(state, type, attributes);\r\n    if (isActive) {\r\n        return commands.lift(type);\r\n    }\r\n    return commands.wrapIn(type, attributes);\r\n};\n\nconst undoInputRule = () => ({ state, dispatch }) => {\r\n    const plugins = state.plugins;\r\n    for (let i = 0; i < plugins.length; i += 1) {\r\n        const plugin = plugins[i];\r\n        let undoable;\r\n        // @ts-ignore\r\n        // eslint-disable-next-line\r\n        if (plugin.spec.isInputRules && (undoable = plugin.getState(state))) {\r\n            if (dispatch) {\r\n                const tr = state.tr;\r\n                const toUndo = undoable.transform;\r\n                for (let j = toUndo.steps.length - 1; j >= 0; j -= 1) {\r\n                    tr.step(toUndo.steps[j].invert(toUndo.docs[j]));\r\n                }\r\n                if (undoable.text) {\r\n                    const marks = tr.doc.resolve(undoable.from).marks();\r\n                    tr.replaceWith(undoable.from, undoable.to, state.schema.text(undoable.text, marks));\r\n                }\r\n                else {\r\n                    tr.delete(undoable.from, undoable.to);\r\n                }\r\n            }\r\n            return true;\r\n        }\r\n    }\r\n    return false;\r\n};\n\nconst unsetAllMarks = () => ({ tr, dispatch }) => {\r\n    const { selection } = tr;\r\n    const { empty, ranges } = selection;\r\n    if (empty) {\r\n        return true;\r\n    }\r\n    if (dispatch) {\r\n        ranges.forEach(range => {\r\n            tr.removeMark(range.$from.pos, range.$to.pos);\r\n        });\r\n    }\r\n    return true;\r\n};\n\nconst unsetMark = (typeOrName, options = {}) => ({ tr, state, dispatch }) => {\r\n    var _a;\r\n    const { extendEmptyMarkRange = false } = options;\r\n    const { selection } = tr;\r\n    const type = getMarkType(typeOrName, state.schema);\r\n    const { $from, empty, ranges } = selection;\r\n    if (!dispatch) {\r\n        return true;\r\n    }\r\n    if (empty && extendEmptyMarkRange) {\r\n        let { from, to } = selection;\r\n        const attrs = (_a = $from.marks().find(mark => mark.type === type)) === null || _a === void 0 ? void 0 : _a.attrs;\r\n        const range = getMarkRange($from, type, attrs);\r\n        if (range) {\r\n            from = range.from;\r\n            to = range.to;\r\n        }\r\n        tr.removeMark(from, to, type);\r\n    }\r\n    else {\r\n        ranges.forEach(range => {\r\n            tr.removeMark(range.$from.pos, range.$to.pos, type);\r\n        });\r\n    }\r\n    tr.removeStoredMark(type);\r\n    return true;\r\n};\n\nconst updateAttributes = (typeOrName, attributes = {}) => ({ tr, state, dispatch }) => {\r\n    let nodeType = null;\r\n    let markType = null;\r\n    const schemaType = getSchemaTypeNameByName(typeof typeOrName === 'string' ? typeOrName : typeOrName.name, state.schema);\r\n    if (!schemaType) {\r\n        return false;\r\n    }\r\n    if (schemaType === 'node') {\r\n        nodeType = getNodeType(typeOrName, state.schema);\r\n    }\r\n    if (schemaType === 'mark') {\r\n        markType = getMarkType(typeOrName, state.schema);\r\n    }\r\n    if (dispatch) {\r\n        tr.selection.ranges.forEach(range => {\r\n            const from = range.$from.pos;\r\n            const to = range.$to.pos;\r\n            state.doc.nodesBetween(from, to, (node, pos) => {\r\n                if (nodeType && nodeType === node.type) {\r\n                    tr.setNodeMarkup(pos, undefined, {\r\n                        ...node.attrs,\r\n                        ...attributes,\r\n                    });\r\n                }\r\n                if (markType && node.marks.length) {\r\n                    node.marks.forEach(mark => {\r\n                        if (markType === mark.type) {\r\n                            const trimmedFrom = Math.max(pos, from);\r\n                            const trimmedTo = Math.min(pos + node.nodeSize, to);\r\n                            tr.addMark(trimmedFrom, trimmedTo, markType.create({\r\n                                ...mark.attrs,\r\n                                ...attributes,\r\n                            }));\r\n                        }\r\n                    });\r\n                }\r\n            });\r\n        });\r\n    }\r\n    return true;\r\n};\n\nconst wrapIn = (typeOrName, attributes = {}) => ({ state, dispatch }) => {\r\n    const type = getNodeType(typeOrName, state.schema);\r\n    return wrapIn$1(type, attributes)(state, dispatch);\r\n};\n\nconst wrapInList = (typeOrName, attributes = {}) => ({ state, dispatch }) => {\r\n    const type = getNodeType(typeOrName, state.schema);\r\n    return wrapInList$1(type, attributes)(state, dispatch);\r\n};\n\nvar commands = /*#__PURE__*/Object.freeze({\n  __proto__: null,\n  blur: blur,\n  clearContent: clearContent,\n  clearNodes: clearNodes,\n  command: command,\n  createParagraphNear: createParagraphNear,\n  cut: cut,\n  deleteCurrentNode: deleteCurrentNode,\n  deleteNode: deleteNode,\n  deleteRange: deleteRange,\n  deleteSelection: deleteSelection,\n  enter: enter,\n  exitCode: exitCode,\n  extendMarkRange: extendMarkRange,\n  first: first,\n  focus: focus,\n  forEach: forEach,\n  insertContent: insertContent,\n  insertContentAt: insertContentAt,\n  joinUp: joinUp,\n  joinDown: joinDown,\n  joinBackward: joinBackward,\n  joinForward: joinForward,\n  joinItemBackward: joinItemBackward,\n  joinItemForward: joinItemForward,\n  joinTextblockBackward: joinTextblockBackward,\n  joinTextblockForward: joinTextblockForward,\n  keyboardShortcut: keyboardShortcut,\n  lift: lift,\n  liftEmptyBlock: liftEmptyBlock,\n  liftListItem: liftListItem,\n  newlineInCode: newlineInCode,\n  resetAttributes: resetAttributes,\n  scrollIntoView: scrollIntoView,\n  selectAll: selectAll,\n  selectNodeBackward: selectNodeBackward,\n  selectNodeForward: selectNodeForward,\n  selectParentNode: selectParentNode,\n  selectTextblockEnd: selectTextblockEnd,\n  selectTextblockStart: selectTextblockStart,\n  setContent: setContent,\n  setMark: setMark,\n  setMeta: setMeta,\n  setNode: setNode,\n  setNodeSelection: setNodeSelection,\n  setTextSelection: setTextSelection,\n  sinkListItem: sinkListItem,\n  splitBlock: splitBlock,\n  splitListItem: splitListItem,\n  toggleList: toggleList,\n  toggleMark: toggleMark,\n  toggleNode: toggleNode,\n  toggleWrap: toggleWrap,\n  undoInputRule: undoInputRule,\n  unsetAllMarks: unsetAllMarks,\n  unsetMark: unsetMark,\n  updateAttributes: updateAttributes,\n  wrapIn: wrapIn,\n  wrapInList: wrapInList\n});\n\nconst Commands = Extension.create({\r\n    name: 'commands',\r\n    addCommands() {\r\n        return {\r\n            ...commands,\r\n        };\r\n    },\r\n});\n\nconst Editable = Extension.create({\r\n    name: 'editable',\r\n    addProseMirrorPlugins() {\r\n        return [\r\n            new Plugin({\r\n                key: new PluginKey('editable'),\r\n                props: {\r\n                    editable: () => this.editor.options.editable,\r\n                },\r\n            }),\r\n        ];\r\n    },\r\n});\n\nconst FocusEvents = Extension.create({\r\n    name: 'focusEvents',\r\n    addProseMirrorPlugins() {\r\n        const { editor } = this;\r\n        return [\r\n            new Plugin({\r\n                key: new PluginKey('focusEvents'),\r\n                props: {\r\n                    handleDOMEvents: {\r\n                        focus: (view, event) => {\r\n                            editor.isFocused = true;\r\n                            const transaction = editor.state.tr\r\n                                .setMeta('focus', { event })\r\n                                .setMeta('addToHistory', false);\r\n                            view.dispatch(transaction);\r\n                            return false;\r\n                        },\r\n                        blur: (view, event) => {\r\n                            editor.isFocused = false;\r\n                            const transaction = editor.state.tr\r\n                                .setMeta('blur', { event })\r\n                                .setMeta('addToHistory', false);\r\n                            view.dispatch(transaction);\r\n                            return false;\r\n                        },\r\n                    },\r\n                },\r\n            }),\r\n        ];\r\n    },\r\n});\n\nconst Keymap = Extension.create({\r\n    name: 'keymap',\r\n    addKeyboardShortcuts() {\r\n        const handleBackspace = () => this.editor.commands.first(({ commands }) => [\r\n            () => commands.undoInputRule(),\r\n            // maybe convert first text block node to default node\r\n            () => commands.command(({ tr }) => {\r\n                const { selection, doc } = tr;\r\n                const { empty, $anchor } = selection;\r\n                const { pos, parent } = $anchor;\r\n                const $parentPos = $anchor.parent.isTextblock && pos > 0 ? tr.doc.resolve(pos - 1) : $anchor;\r\n                const parentIsIsolating = $parentPos.parent.type.spec.isolating;\r\n                const parentPos = $anchor.pos - $anchor.parentOffset;\r\n                const isAtStart = (parentIsIsolating && $parentPos.parent.childCount === 1)\r\n                    ? parentPos === $anchor.pos\r\n                    : Selection.atStart(doc).from === pos;\r\n                if (!empty || !isAtStart || !parent.type.isTextblock || parent.textContent.length) {\r\n                    return false;\r\n                }\r\n                return commands.clearNodes();\r\n            }),\r\n            () => commands.deleteSelection(),\r\n            () => commands.joinBackward(),\r\n            () => commands.selectNodeBackward(),\r\n        ]);\r\n        const handleDelete = () => this.editor.commands.first(({ commands }) => [\r\n            () => commands.deleteSelection(),\r\n            () => commands.deleteCurrentNode(),\r\n            () => commands.joinForward(),\r\n            () => commands.selectNodeForward(),\r\n        ]);\r\n        const handleEnter = () => this.editor.commands.first(({ commands }) => [\r\n            () => commands.newlineInCode(),\r\n            () => commands.createParagraphNear(),\r\n            () => commands.liftEmptyBlock(),\r\n            () => commands.splitBlock(),\r\n        ]);\r\n        const baseKeymap = {\r\n            Enter: handleEnter,\r\n            'Mod-Enter': () => this.editor.commands.exitCode(),\r\n            Backspace: handleBackspace,\r\n            'Mod-Backspace': handleBackspace,\r\n            'Shift-Backspace': handleBackspace,\r\n            Delete: handleDelete,\r\n            'Mod-Delete': handleDelete,\r\n            'Mod-a': () => this.editor.commands.selectAll(),\r\n        };\r\n        const pcKeymap = {\r\n            ...baseKeymap,\r\n        };\r\n        const macKeymap = {\r\n            ...baseKeymap,\r\n            'Ctrl-h': handleBackspace,\r\n            'Alt-Backspace': handleBackspace,\r\n            'Ctrl-d': handleDelete,\r\n            'Ctrl-Alt-Backspace': handleDelete,\r\n            'Alt-Delete': handleDelete,\r\n            'Alt-d': handleDelete,\r\n            'Ctrl-a': () => this.editor.commands.selectTextblockStart(),\r\n            'Ctrl-e': () => this.editor.commands.selectTextblockEnd(),\r\n        };\r\n        if (isiOS() || isMacOS()) {\r\n            return macKeymap;\r\n        }\r\n        return pcKeymap;\r\n    },\r\n    addProseMirrorPlugins() {\r\n        return [\r\n            // With this plugin we check if the whole document was selected and deleted.\r\n            // In this case we will additionally call `clearNodes()` to convert e.g. a heading\r\n            // to a paragraph if necessary.\r\n            // This is an alternative to ProseMirror's `AllSelection`, which doesn’t work well\r\n            // with many other commands.\r\n            new Plugin({\r\n                key: new PluginKey('clearDocument'),\r\n                appendTransaction: (transactions, oldState, newState) => {\r\n                    const docChanges = transactions.some(transaction => transaction.docChanged)\r\n                        && !oldState.doc.eq(newState.doc);\r\n                    if (!docChanges) {\r\n                        return;\r\n                    }\r\n                    const { empty, from, to } = oldState.selection;\r\n                    const allFrom = Selection.atStart(oldState.doc).from;\r\n                    const allEnd = Selection.atEnd(oldState.doc).to;\r\n                    const allWasSelected = from === allFrom && to === allEnd;\r\n                    if (empty || !allWasSelected) {\r\n                        return;\r\n                    }\r\n                    const isEmpty = newState.doc.textBetween(0, newState.doc.content.size, ' ', ' ').length === 0;\r\n                    if (!isEmpty) {\r\n                        return;\r\n                    }\r\n                    const tr = newState.tr;\r\n                    const state = createChainableState({\r\n                        state: newState,\r\n                        transaction: tr,\r\n                    });\r\n                    const { commands } = new CommandManager({\r\n                        editor: this.editor,\r\n                        state,\r\n                    });\r\n                    commands.clearNodes();\r\n                    if (!tr.steps.length) {\r\n                        return;\r\n                    }\r\n                    return tr;\r\n                },\r\n            }),\r\n        ];\r\n    },\r\n});\n\nconst Tabindex = Extension.create({\r\n    name: 'tabindex',\r\n    addProseMirrorPlugins() {\r\n        return [\r\n            new Plugin({\r\n                key: new PluginKey('tabindex'),\r\n                props: {\r\n                    attributes: this.editor.isEditable ? { tabindex: '0' } : {},\r\n                },\r\n            }),\r\n        ];\r\n    },\r\n});\n\nvar index = /*#__PURE__*/Object.freeze({\n  __proto__: null,\n  ClipboardTextSerializer: ClipboardTextSerializer,\n  Commands: Commands,\n  Editable: Editable,\n  FocusEvents: FocusEvents,\n  Keymap: Keymap,\n  Tabindex: Tabindex\n});\n\nclass NodePos {\r\n    constructor(pos, editor, isBlock = false, node = null) {\r\n        this.currentNode = null;\r\n        this.actualDepth = null;\r\n        this.isBlock = isBlock;\r\n        this.resolvedPos = pos;\r\n        this.editor = editor;\r\n        this.currentNode = node;\r\n    }\r\n    get name() {\r\n        return this.node.type.name;\r\n    }\r\n    get node() {\r\n        return this.currentNode || this.resolvedPos.node();\r\n    }\r\n    get element() {\r\n        return this.editor.view.domAtPos(this.pos).node;\r\n    }\r\n    get depth() {\r\n        var _a;\r\n        return (_a = this.actualDepth) !== null && _a !== void 0 ? _a : this.resolvedPos.depth;\r\n    }\r\n    get pos() {\r\n        return this.resolvedPos.pos;\r\n    }\r\n    get content() {\r\n        return this.node.content;\r\n    }\r\n    set content(content) {\r\n        let from = this.from;\r\n        let to = this.to;\r\n        if (this.isBlock) {\r\n            if (this.content.size === 0) {\r\n                console.error(`You can’t set content on a block node. Tried to set content on ${this.name} at ${this.pos}`);\r\n                return;\r\n            }\r\n            from = this.from + 1;\r\n            to = this.to - 1;\r\n        }\r\n        this.editor.commands.insertContentAt({ from, to }, content);\r\n    }\r\n    get attributes() {\r\n        return this.node.attrs;\r\n    }\r\n    get textContent() {\r\n        return this.node.textContent;\r\n    }\r\n    get size() {\r\n        return this.node.nodeSize;\r\n    }\r\n    get from() {\r\n        if (this.isBlock) {\r\n            return this.pos;\r\n        }\r\n        return this.resolvedPos.start(this.resolvedPos.depth);\r\n    }\r\n    get range() {\r\n        return {\r\n            from: this.from,\r\n            to: this.to,\r\n        };\r\n    }\r\n    get to() {\r\n        if (this.isBlock) {\r\n            return this.pos + this.size;\r\n        }\r\n        return this.resolvedPos.end(this.resolvedPos.depth) + (this.node.isText ? 0 : 1);\r\n    }\r\n    get parent() {\r\n        if (this.depth === 0) {\r\n            return null;\r\n        }\r\n        const parentPos = this.resolvedPos.start(this.resolvedPos.depth - 1);\r\n        const $pos = this.resolvedPos.doc.resolve(parentPos);\r\n        return new NodePos($pos, this.editor);\r\n    }\r\n    get before() {\r\n        let $pos = this.resolvedPos.doc.resolve(this.from - (this.isBlock ? 1 : 2));\r\n        if ($pos.depth !== this.depth) {\r\n            $pos = this.resolvedPos.doc.resolve(this.from - 3);\r\n        }\r\n        return new NodePos($pos, this.editor);\r\n    }\r\n    get after() {\r\n        let $pos = this.resolvedPos.doc.resolve(this.to + (this.isBlock ? 2 : 1));\r\n        if ($pos.depth !== this.depth) {\r\n            $pos = this.resolvedPos.doc.resolve(this.to + 3);\r\n        }\r\n        return new NodePos($pos, this.editor);\r\n    }\r\n    get children() {\r\n        const children = [];\r\n        this.node.content.forEach((node, offset) => {\r\n            const isBlock = node.isBlock && !node.isTextblock;\r\n            const targetPos = this.pos + offset + 1;\r\n            const $pos = this.resolvedPos.doc.resolve(targetPos);\r\n            if (!isBlock && $pos.depth <= this.depth) {\r\n                return;\r\n            }\r\n            const childNodePos = new NodePos($pos, this.editor, isBlock, isBlock ? node : null);\r\n            if (isBlock) {\r\n                childNodePos.actualDepth = this.depth + 1;\r\n            }\r\n            children.push(new NodePos($pos, this.editor, isBlock, isBlock ? node : null));\r\n        });\r\n        return children;\r\n    }\r\n    get firstChild() {\r\n        return this.children[0] || null;\r\n    }\r\n    get lastChild() {\r\n        const children = this.children;\r\n        return children[children.length - 1] || null;\r\n    }\r\n    closest(selector, attributes = {}) {\r\n        let node = null;\r\n        let currentNode = this.parent;\r\n        while (currentNode && !node) {\r\n            if (currentNode.node.type.name === selector) {\r\n                if (Object.keys(attributes).length > 0) {\r\n                    const nodeAttributes = currentNode.node.attrs;\r\n                    const attrKeys = Object.keys(attributes);\r\n                    for (let index = 0; index < attrKeys.length; index += 1) {\r\n                        const key = attrKeys[index];\r\n                        if (nodeAttributes[key] !== attributes[key]) {\r\n                            break;\r\n                        }\r\n                    }\r\n                }\r\n                else {\r\n                    node = currentNode;\r\n                }\r\n            }\r\n            currentNode = currentNode.parent;\r\n        }\r\n        return node;\r\n    }\r\n    querySelector(selector, attributes = {}) {\r\n        return this.querySelectorAll(selector, attributes, true)[0] || null;\r\n    }\r\n    querySelectorAll(selector, attributes = {}, firstItemOnly = false) {\r\n        let nodes = [];\r\n        // iterate through children recursively finding all nodes which match the selector with the node name\r\n        if (!this.children || this.children.length === 0) {\r\n            return nodes;\r\n        }\r\n        this.children.forEach(childPos => {\r\n            if (childPos.node.type.name === selector) {\r\n                if (Object.keys(attributes).length > 0) {\r\n                    const nodeAttributes = childPos.node.attrs;\r\n                    const attrKeys = Object.keys(attributes);\r\n                    for (let index = 0; index < attrKeys.length; index += 1) {\r\n                        const key = attrKeys[index];\r\n                        if (nodeAttributes[key] !== attributes[key]) {\r\n                            return;\r\n                        }\r\n                    }\r\n                }\r\n                nodes.push(childPos);\r\n                if (firstItemOnly) {\r\n                    return;\r\n                }\r\n            }\r\n            nodes = nodes.concat(childPos.querySelectorAll(selector));\r\n        });\r\n        return nodes;\r\n    }\r\n    setAttribute(attributes) {\r\n        const oldSelection = this.editor.state.selection;\r\n        this.editor.chain().setTextSelection(this.from).updateAttributes(this.node.type.name, attributes).setTextSelection(oldSelection.from)\r\n            .run();\r\n    }\r\n}\n\nconst style = `.ProseMirror {\n  position: relative;\n}\n\n.ProseMirror {\n  word-wrap: break-word;\n  white-space: pre-wrap;\n  white-space: break-spaces;\n  -webkit-font-variant-ligatures: none;\n  font-variant-ligatures: none;\n  font-feature-settings: \"liga\" 0; /* the above doesn't seem to work in Edge */\n}\n\n.ProseMirror [contenteditable=\"false\"] {\n  white-space: normal;\n}\n\n.ProseMirror [contenteditable=\"false\"] [contenteditable=\"true\"] {\n  white-space: pre-wrap;\n}\n\n.ProseMirror pre {\n  white-space: pre-wrap;\n}\n\nimg.ProseMirror-separator {\n  display: inline !important;\n  border: none !important;\n  margin: 0 !important;\n  width: 1px !important;\n  height: 1px !important;\n}\n\n.ProseMirror-gapcursor {\n  display: none;\n  pointer-events: none;\n  position: absolute;\n  margin: 0;\n}\n\n.ProseMirror-gapcursor:after {\n  content: \"\";\n  display: block;\n  position: absolute;\n  top: -2px;\n  width: 20px;\n  border-top: 1px solid black;\n  animation: ProseMirror-cursor-blink 1.1s steps(2, start) infinite;\n}\n\n@keyframes ProseMirror-cursor-blink {\n  to {\n    visibility: hidden;\n  }\n}\n\n.ProseMirror-hideselection *::selection {\n  background: transparent;\n}\n\n.ProseMirror-hideselection *::-moz-selection {\n  background: transparent;\n}\n\n.ProseMirror-hideselection * {\n  caret-color: transparent;\n}\n\n.ProseMirror-focused .ProseMirror-gapcursor {\n  display: block;\n}\n\n.tippy-box[data-animation=fade][data-state=hidden] {\n  opacity: 0\n}`;\n\nfunction createStyleTag(style, nonce, suffix) {\r\n    const tiptapStyleTag = document.querySelector(`style[data-tiptap-style${suffix ? `-${suffix}` : ''}]`);\r\n    if (tiptapStyleTag !== null) {\r\n        return tiptapStyleTag;\r\n    }\r\n    const styleNode = document.createElement('style');\r\n    if (nonce) {\r\n        styleNode.setAttribute('nonce', nonce);\r\n    }\r\n    styleNode.setAttribute(`data-tiptap-style${suffix ? `-${suffix}` : ''}`, '');\r\n    styleNode.innerHTML = style;\r\n    document.getElementsByTagName('head')[0].appendChild(styleNode);\r\n    return styleNode;\r\n}\n\nclass Editor extends EventEmitter {\r\n    constructor(options = {}) {\r\n        super();\r\n        this.isFocused = false;\r\n        this.extensionStorage = {};\r\n        this.options = {\r\n            element: document.createElement('div'),\r\n            content: '',\r\n            injectCSS: true,\r\n            injectNonce: undefined,\r\n            extensions: [],\r\n            autofocus: false,\r\n            editable: true,\r\n            editorProps: {},\r\n            parseOptions: {},\r\n            coreExtensionOptions: {},\r\n            enableInputRules: true,\r\n            enablePasteRules: true,\r\n            enableCoreExtensions: true,\r\n            onBeforeCreate: () => null,\r\n            onCreate: () => null,\r\n            onUpdate: () => null,\r\n            onSelectionUpdate: () => null,\r\n            onTransaction: () => null,\r\n            onFocus: () => null,\r\n            onBlur: () => null,\r\n            onDestroy: () => null,\r\n        };\r\n        this.isCapturingTransaction = false;\r\n        this.capturedTransaction = null;\r\n        this.setOptions(options);\r\n        this.createExtensionManager();\r\n        this.createCommandManager();\r\n        this.createSchema();\r\n        this.on('beforeCreate', this.options.onBeforeCreate);\r\n        this.emit('beforeCreate', { editor: this });\r\n        this.createView();\r\n        this.injectCSS();\r\n        this.on('create', this.options.onCreate);\r\n        this.on('update', this.options.onUpdate);\r\n        this.on('selectionUpdate', this.options.onSelectionUpdate);\r\n        this.on('transaction', this.options.onTransaction);\r\n        this.on('focus', this.options.onFocus);\r\n        this.on('blur', this.options.onBlur);\r\n        this.on('destroy', this.options.onDestroy);\r\n        window.setTimeout(() => {\r\n            if (this.isDestroyed) {\r\n                return;\r\n            }\r\n            this.commands.focus(this.options.autofocus);\r\n            this.emit('create', { editor: this });\r\n        }, 0);\r\n    }\r\n    /**\r\n     * Returns the editor storage.\r\n     */\r\n    get storage() {\r\n        return this.extensionStorage;\r\n    }\r\n    /**\r\n     * An object of all registered commands.\r\n     */\r\n    get commands() {\r\n        return this.commandManager.commands;\r\n    }\r\n    /**\r\n     * Create a command chain to call multiple commands at once.\r\n     */\r\n    chain() {\r\n        return this.commandManager.chain();\r\n    }\r\n    /**\r\n     * Check if a command or a command chain can be executed. Without executing it.\r\n     */\r\n    can() {\r\n        return this.commandManager.can();\r\n    }\r\n    /**\r\n     * Inject CSS styles.\r\n     */\r\n    injectCSS() {\r\n        if (this.options.injectCSS && document) {\r\n            this.css = createStyleTag(style, this.options.injectNonce);\r\n        }\r\n    }\r\n    /**\r\n     * Update editor options.\r\n     *\r\n     * @param options A list of options\r\n     */\r\n    setOptions(options = {}) {\r\n        this.options = {\r\n            ...this.options,\r\n            ...options,\r\n        };\r\n        if (!this.view || !this.state || this.isDestroyed) {\r\n            return;\r\n        }\r\n        if (this.options.editorProps) {\r\n            this.view.setProps(this.options.editorProps);\r\n        }\r\n        this.view.updateState(this.state);\r\n    }\r\n    /**\r\n     * Update editable state of the editor.\r\n     */\r\n    setEditable(editable, emitUpdate = true) {\r\n        this.setOptions({ editable });\r\n        if (emitUpdate) {\r\n            this.emit('update', { editor: this, transaction: this.state.tr });\r\n        }\r\n    }\r\n    /**\r\n     * Returns whether the editor is editable.\r\n     */\r\n    get isEditable() {\r\n        // since plugins are applied after creating the view\r\n        // `editable` is always `true` for one tick.\r\n        // that’s why we also have to check for `options.editable`\r\n        return this.options.editable && this.view && this.view.editable;\r\n    }\r\n    /**\r\n     * Returns the editor state.\r\n     */\r\n    get state() {\r\n        return this.view.state;\r\n    }\r\n    /**\r\n     * Register a ProseMirror plugin.\r\n     *\r\n     * @param plugin A ProseMirror plugin\r\n     * @param handlePlugins Control how to merge the plugin into the existing plugins.\r\n     */\r\n    registerPlugin(plugin, handlePlugins) {\r\n        const plugins = isFunction(handlePlugins)\r\n            ? handlePlugins(plugin, [...this.state.plugins])\r\n            : [...this.state.plugins, plugin];\r\n        const state = this.state.reconfigure({ plugins });\r\n        this.view.updateState(state);\r\n    }\r\n    /**\r\n     * Unregister a ProseMirror plugin.\r\n     *\r\n     * @param nameOrPluginKey The plugins name\r\n     */\r\n    unregisterPlugin(nameOrPluginKey) {\r\n        if (this.isDestroyed) {\r\n            return;\r\n        }\r\n        // @ts-ignore\r\n        const name = typeof nameOrPluginKey === 'string' ? `${nameOrPluginKey}$` : nameOrPluginKey.key;\r\n        const state = this.state.reconfigure({\r\n            // @ts-ignore\r\n            plugins: this.state.plugins.filter(plugin => !plugin.key.startsWith(name)),\r\n        });\r\n        this.view.updateState(state);\r\n    }\r\n    /**\r\n     * Creates an extension manager.\r\n     */\r\n    createExtensionManager() {\r\n        var _a, _b;\r\n        const coreExtensions = this.options.enableCoreExtensions ? [\r\n            Editable,\r\n            ClipboardTextSerializer.configure({\r\n                blockSeparator: (_b = (_a = this.options.coreExtensionOptions) === null || _a === void 0 ? void 0 : _a.clipboardTextSerializer) === null || _b === void 0 ? void 0 : _b.blockSeparator,\r\n            }),\r\n            Commands,\r\n            FocusEvents,\r\n            Keymap,\r\n            Tabindex,\r\n        ] : [];\r\n        const allExtensions = [...coreExtensions, ...this.options.extensions].filter(extension => {\r\n            return ['extension', 'node', 'mark'].includes(extension === null || extension === void 0 ? void 0 : extension.type);\r\n        });\r\n        this.extensionManager = new ExtensionManager(allExtensions, this);\r\n    }\r\n    /**\r\n     * Creates an command manager.\r\n     */\r\n    createCommandManager() {\r\n        this.commandManager = new CommandManager({\r\n            editor: this,\r\n        });\r\n    }\r\n    /**\r\n     * Creates a ProseMirror schema.\r\n     */\r\n    createSchema() {\r\n        this.schema = this.extensionManager.schema;\r\n    }\r\n    /**\r\n     * Creates a ProseMirror view.\r\n     */\r\n    createView() {\r\n        const doc = createDocument(this.options.content, this.schema, this.options.parseOptions);\r\n        const selection = resolveFocusPosition(doc, this.options.autofocus);\r\n        this.view = new EditorView(this.options.element, {\r\n            ...this.options.editorProps,\r\n            dispatchTransaction: this.dispatchTransaction.bind(this),\r\n            state: EditorState.create({\r\n                doc,\r\n                selection: selection || undefined,\r\n            }),\r\n        });\r\n        // `editor.view` is not yet available at this time.\r\n        // Therefore we will add all plugins and node views directly afterwards.\r\n        const newState = this.state.reconfigure({\r\n            plugins: this.extensionManager.plugins,\r\n        });\r\n        this.view.updateState(newState);\r\n        this.createNodeViews();\r\n        this.prependClass();\r\n        // Let’s store the editor instance in the DOM element.\r\n        // So we’ll have access to it for tests.\r\n        const dom = this.view.dom;\r\n        dom.editor = this;\r\n    }\r\n    /**\r\n     * Creates all node views.\r\n     */\r\n    createNodeViews() {\r\n        this.view.setProps({\r\n            nodeViews: this.extensionManager.nodeViews,\r\n        });\r\n    }\r\n    /**\r\n     * Prepend class name to element.\r\n     */\r\n    prependClass() {\r\n        this.view.dom.className = `tiptap ${this.view.dom.className}`;\r\n    }\r\n    captureTransaction(fn) {\r\n        this.isCapturingTransaction = true;\r\n        fn();\r\n        this.isCapturingTransaction = false;\r\n        const tr = this.capturedTransaction;\r\n        this.capturedTransaction = null;\r\n        return tr;\r\n    }\r\n    /**\r\n     * The callback over which to send transactions (state updates) produced by the view.\r\n     *\r\n     * @param transaction An editor state transaction\r\n     */\r\n    dispatchTransaction(transaction) {\r\n        // if the editor / the view of the editor was destroyed\r\n        // the transaction should not be dispatched as there is no view anymore.\r\n        if (this.view.isDestroyed) {\r\n            return;\r\n        }\r\n        if (this.isCapturingTransaction) {\r\n            if (!this.capturedTransaction) {\r\n                this.capturedTransaction = transaction;\r\n                return;\r\n            }\r\n            transaction.steps.forEach(step => { var _a; return (_a = this.capturedTransaction) === null || _a === void 0 ? void 0 : _a.step(step); });\r\n            return;\r\n        }\r\n        const state = this.state.apply(transaction);\r\n        const selectionHasChanged = !this.state.selection.eq(state.selection);\r\n        this.view.updateState(state);\r\n        this.emit('transaction', {\r\n            editor: this,\r\n            transaction,\r\n        });\r\n        if (selectionHasChanged) {\r\n            this.emit('selectionUpdate', {\r\n                editor: this,\r\n                transaction,\r\n            });\r\n        }\r\n        const focus = transaction.getMeta('focus');\r\n        const blur = transaction.getMeta('blur');\r\n        if (focus) {\r\n            this.emit('focus', {\r\n                editor: this,\r\n                event: focus.event,\r\n                transaction,\r\n            });\r\n        }\r\n        if (blur) {\r\n            this.emit('blur', {\r\n                editor: this,\r\n                event: blur.event,\r\n                transaction,\r\n            });\r\n        }\r\n        if (!transaction.docChanged || transaction.getMeta('preventUpdate')) {\r\n            return;\r\n        }\r\n        this.emit('update', {\r\n            editor: this,\r\n            transaction,\r\n        });\r\n    }\r\n    /**\r\n     * Get attributes of the currently selected node or mark.\r\n     */\r\n    getAttributes(nameOrType) {\r\n        return getAttributes(this.state, nameOrType);\r\n    }\r\n    isActive(nameOrAttributes, attributesOrUndefined) {\r\n        const name = typeof nameOrAttributes === 'string' ? nameOrAttributes : null;\r\n        const attributes = typeof nameOrAttributes === 'string' ? attributesOrUndefined : nameOrAttributes;\r\n        return isActive(this.state, name, attributes);\r\n    }\r\n    /**\r\n     * Get the document as JSON.\r\n     */\r\n    getJSON() {\r\n        return this.state.doc.toJSON();\r\n    }\r\n    /**\r\n     * Get the document as HTML.\r\n     */\r\n    getHTML() {\r\n        return getHTMLFromFragment(this.state.doc.content, this.schema);\r\n    }\r\n    /**\r\n     * Get the document as text.\r\n     */\r\n    getText(options) {\r\n        const { blockSeparator = '\\n\\n', textSerializers = {} } = options || {};\r\n        return getText(this.state.doc, {\r\n            blockSeparator,\r\n            textSerializers: {\r\n                ...getTextSerializersFromSchema(this.schema),\r\n                ...textSerializers,\r\n            },\r\n        });\r\n    }\r\n    /**\r\n     * Check if there is no content.\r\n     */\r\n    get isEmpty() {\r\n        return isNodeEmpty(this.state.doc);\r\n    }\r\n    /**\r\n     * Get the number of characters for the current document.\r\n     *\r\n     * @deprecated\r\n     */\r\n    getCharacterCount() {\r\n        console.warn('[tiptap warn]: \"editor.getCharacterCount()\" is deprecated. Please use \"editor.storage.characterCount.characters()\" instead.');\r\n        return this.state.doc.content.size - 2;\r\n    }\r\n    /**\r\n     * Destroy the editor.\r\n     */\r\n    destroy() {\r\n        this.emit('destroy');\r\n        if (this.view) {\r\n            this.view.destroy();\r\n        }\r\n        this.removeAllListeners();\r\n    }\r\n    /**\r\n     * Check if the editor is already destroyed.\r\n     */\r\n    get isDestroyed() {\r\n        var _a;\r\n        // @ts-ignore\r\n        return !((_a = this.view) === null || _a === void 0 ? void 0 : _a.docView);\r\n    }\r\n    $node(selector, attributes) {\r\n        var _a;\r\n        return ((_a = this.$doc) === null || _a === void 0 ? void 0 : _a.querySelector(selector, attributes)) || null;\r\n    }\r\n    $nodes(selector, attributes) {\r\n        var _a;\r\n        return ((_a = this.$doc) === null || _a === void 0 ? void 0 : _a.querySelectorAll(selector, attributes)) || null;\r\n    }\r\n    $pos(pos) {\r\n        const $pos = this.state.doc.resolve(pos);\r\n        return new NodePos($pos, this);\r\n    }\r\n    get $doc() {\r\n        return this.$pos(0);\r\n    }\r\n}\n\n/**\r\n * Build an input rule that adds a mark when the\r\n * matched text is typed into it.\r\n */\r\nfunction markInputRule(config) {\r\n    return new InputRule({\r\n        find: config.find,\r\n        handler: ({ state, range, match }) => {\r\n            const attributes = callOrReturn(config.getAttributes, undefined, match);\r\n            if (attributes === false || attributes === null) {\r\n                return null;\r\n            }\r\n            const { tr } = state;\r\n            const captureGroup = match[match.length - 1];\r\n            const fullMatch = match[0];\r\n            if (captureGroup) {\r\n                const startSpaces = fullMatch.search(/\\S/);\r\n                const textStart = range.from + fullMatch.indexOf(captureGroup);\r\n                const textEnd = textStart + captureGroup.length;\r\n                const excludedMarks = getMarksBetween(range.from, range.to, state.doc)\r\n                    .filter(item => {\r\n                    // @ts-ignore\r\n                    const excluded = item.mark.type.excluded;\r\n                    return excluded.find(type => type === config.type && type !== item.mark.type);\r\n                })\r\n                    .filter(item => item.to > textStart);\r\n                if (excludedMarks.length) {\r\n                    return null;\r\n                }\r\n                if (textEnd < range.to) {\r\n                    tr.delete(textEnd, range.to);\r\n                }\r\n                if (textStart > range.from) {\r\n                    tr.delete(range.from + startSpaces, textStart);\r\n                }\r\n                const markEnd = range.from + startSpaces + captureGroup.length;\r\n                tr.addMark(range.from + startSpaces, markEnd, config.type.create(attributes || {}));\r\n                tr.removeStoredMark(config.type);\r\n            }\r\n        },\r\n    });\r\n}\n\n/**\r\n * Build an input rule that adds a node when the\r\n * matched text is typed into it.\r\n */\r\nfunction nodeInputRule(config) {\r\n    return new InputRule({\r\n        find: config.find,\r\n        handler: ({ state, range, match }) => {\r\n            const attributes = callOrReturn(config.getAttributes, undefined, match) || {};\r\n            const { tr } = state;\r\n            const start = range.from;\r\n            let end = range.to;\r\n            const newNode = config.type.create(attributes);\r\n            if (match[1]) {\r\n                const offset = match[0].lastIndexOf(match[1]);\r\n                let matchStart = start + offset;\r\n                if (matchStart > end) {\r\n                    matchStart = end;\r\n                }\r\n                else {\r\n                    end = matchStart + match[1].length;\r\n                }\r\n                // insert last typed character\r\n                const lastChar = match[0][match[0].length - 1];\r\n                tr.insertText(lastChar, start + match[0].length - 1);\r\n                // insert node from input rule\r\n                tr.replaceWith(matchStart, end, newNode);\r\n            }\r\n            else if (match[0]) {\r\n                tr.insert(start - 1, config.type.create(attributes)).delete(tr.mapping.map(start), tr.mapping.map(end));\r\n            }\r\n            tr.scrollIntoView();\r\n        },\r\n    });\r\n}\n\n/**\r\n * Build an input rule that changes the type of a textblock when the\r\n * matched text is typed into it. When using a regular expresion you’ll\r\n * probably want the regexp to start with `^`, so that the pattern can\r\n * only occur at the start of a textblock.\r\n */\r\nfunction textblockTypeInputRule(config) {\r\n    return new InputRule({\r\n        find: config.find,\r\n        handler: ({ state, range, match }) => {\r\n            const $start = state.doc.resolve(range.from);\r\n            const attributes = callOrReturn(config.getAttributes, undefined, match) || {};\r\n            if (!$start.node(-1).canReplaceWith($start.index(-1), $start.indexAfter(-1), config.type)) {\r\n                return null;\r\n            }\r\n            state.tr\r\n                .delete(range.from, range.to)\r\n                .setBlockType(range.from, range.from, config.type, attributes);\r\n        },\r\n    });\r\n}\n\n/**\r\n * Build an input rule that replaces text when the\r\n * matched text is typed into it.\r\n */\r\nfunction textInputRule(config) {\r\n    return new InputRule({\r\n        find: config.find,\r\n        handler: ({ state, range, match }) => {\r\n            let insert = config.replace;\r\n            let start = range.from;\r\n            const end = range.to;\r\n            if (match[1]) {\r\n                const offset = match[0].lastIndexOf(match[1]);\r\n                insert += match[0].slice(offset + match[1].length);\r\n                start += offset;\r\n                const cutOff = start - end;\r\n                if (cutOff > 0) {\r\n                    insert = match[0].slice(offset - cutOff, offset) + insert;\r\n                    start = end;\r\n                }\r\n            }\r\n            state.tr.insertText(insert, start, end);\r\n        },\r\n    });\r\n}\n\n/**\r\n * Build an input rule for automatically wrapping a textblock when a\r\n * given string is typed. When using a regular expresion you’ll\r\n * probably want the regexp to start with `^`, so that the pattern can\r\n * only occur at the start of a textblock.\r\n *\r\n * `type` is the type of node to wrap in.\r\n *\r\n * By default, if there’s a node with the same type above the newly\r\n * wrapped node, the rule will try to join those\r\n * two nodes. You can pass a join predicate, which takes a regular\r\n * expression match and the node before the wrapped node, and can\r\n * return a boolean to indicate whether a join should happen.\r\n */\r\nfunction wrappingInputRule(config) {\r\n    return new InputRule({\r\n        find: config.find,\r\n        handler: ({ state, range, match, chain, }) => {\r\n            const attributes = callOrReturn(config.getAttributes, undefined, match) || {};\r\n            const tr = state.tr.delete(range.from, range.to);\r\n            const $start = tr.doc.resolve(range.from);\r\n            const blockRange = $start.blockRange();\r\n            const wrapping = blockRange && findWrapping(blockRange, config.type, attributes);\r\n            if (!wrapping) {\r\n                return null;\r\n            }\r\n            tr.wrap(blockRange, wrapping);\r\n            if (config.keepMarks && config.editor) {\r\n                const { selection, storedMarks } = state;\r\n                const { splittableMarks } = config.editor.extensionManager;\r\n                const marks = storedMarks || (selection.$to.parentOffset && selection.$from.marks());\r\n                if (marks) {\r\n                    const filteredMarks = marks.filter(mark => splittableMarks.includes(mark.type.name));\r\n                    tr.ensureMarks(filteredMarks);\r\n                }\r\n            }\r\n            if (config.keepAttributes) {\r\n                /** If the nodeType is `bulletList` or `orderedList` set the `nodeType` as `listItem` */\r\n                const nodeType = config.type.name === 'bulletList' || config.type.name === 'orderedList' ? 'listItem' : 'taskList';\r\n                chain().updateAttributes(nodeType, attributes).run();\r\n            }\r\n            const before = tr.doc.resolve(range.from - 1).nodeBefore;\r\n            if (before\r\n                && before.type === config.type\r\n                && canJoin(tr.doc, range.from - 1)\r\n                && (!config.joinPredicate || config.joinPredicate(match, before))) {\r\n                tr.join(range.from - 1);\r\n            }\r\n        },\r\n    });\r\n}\n\nclass Mark {\r\n    constructor(config = {}) {\r\n        this.type = 'mark';\r\n        this.name = 'mark';\r\n        this.parent = null;\r\n        this.child = null;\r\n        this.config = {\r\n            name: this.name,\r\n            defaultOptions: {},\r\n        };\r\n        this.config = {\r\n            ...this.config,\r\n            ...config,\r\n        };\r\n        this.name = this.config.name;\r\n        if (config.defaultOptions && Object.keys(config.defaultOptions).length > 0) {\r\n            console.warn(`[tiptap warn]: BREAKING CHANGE: \"defaultOptions\" is deprecated. Please use \"addOptions\" instead. Found in extension: \"${this.name}\".`);\r\n        }\r\n        // TODO: remove `addOptions` fallback\r\n        this.options = this.config.defaultOptions;\r\n        if (this.config.addOptions) {\r\n            this.options = callOrReturn(getExtensionField(this, 'addOptions', {\r\n                name: this.name,\r\n            }));\r\n        }\r\n        this.storage = callOrReturn(getExtensionField(this, 'addStorage', {\r\n            name: this.name,\r\n            options: this.options,\r\n        })) || {};\r\n    }\r\n    static create(config = {}) {\r\n        return new Mark(config);\r\n    }\r\n    configure(options = {}) {\r\n        // return a new instance so we can use the same extension\r\n        // with different calls of `configure`\r\n        const extension = this.extend();\r\n        extension.options = mergeDeep(this.options, options);\r\n        extension.storage = callOrReturn(getExtensionField(extension, 'addStorage', {\r\n            name: extension.name,\r\n            options: extension.options,\r\n        }));\r\n        return extension;\r\n    }\r\n    extend(extendedConfig = {}) {\r\n        const extension = new Mark({ ...this.config, ...extendedConfig });\r\n        extension.parent = this;\r\n        this.child = extension;\r\n        extension.name = extendedConfig.name ? extendedConfig.name : extension.parent.name;\r\n        if (extendedConfig.defaultOptions) {\r\n            console.warn(`[tiptap warn]: BREAKING CHANGE: \"defaultOptions\" is deprecated. Please use \"addOptions\" instead. Found in extension: \"${extension.name}\".`);\r\n        }\r\n        extension.options = callOrReturn(getExtensionField(extension, 'addOptions', {\r\n            name: extension.name,\r\n        }));\r\n        extension.storage = callOrReturn(getExtensionField(extension, 'addStorage', {\r\n            name: extension.name,\r\n            options: extension.options,\r\n        }));\r\n        return extension;\r\n    }\r\n    static handleExit({ editor, mark }) {\r\n        const { tr } = editor.state;\r\n        const currentPos = editor.state.selection.$from;\r\n        const isAtEnd = currentPos.pos === currentPos.end();\r\n        if (isAtEnd) {\r\n            const currentMarks = currentPos.marks();\r\n            const isInMark = !!currentMarks.find(m => (m === null || m === void 0 ? void 0 : m.type.name) === mark.name);\r\n            if (!isInMark) {\r\n                return false;\r\n            }\r\n            const removeMark = currentMarks.find(m => (m === null || m === void 0 ? void 0 : m.type.name) === mark.name);\r\n            if (removeMark) {\r\n                tr.removeStoredMark(removeMark);\r\n            }\r\n            tr.insertText(' ', currentPos.pos);\r\n            editor.view.dispatch(tr);\r\n            return true;\r\n        }\r\n        return false;\r\n    }\r\n}\n\nclass Node {\r\n    constructor(config = {}) {\r\n        this.type = 'node';\r\n        this.name = 'node';\r\n        this.parent = null;\r\n        this.child = null;\r\n        this.config = {\r\n            name: this.name,\r\n            defaultOptions: {},\r\n        };\r\n        this.config = {\r\n            ...this.config,\r\n            ...config,\r\n        };\r\n        this.name = this.config.name;\r\n        if (config.defaultOptions && Object.keys(config.defaultOptions).length > 0) {\r\n            console.warn(`[tiptap warn]: BREAKING CHANGE: \"defaultOptions\" is deprecated. Please use \"addOptions\" instead. Found in extension: \"${this.name}\".`);\r\n        }\r\n        // TODO: remove `addOptions` fallback\r\n        this.options = this.config.defaultOptions;\r\n        if (this.config.addOptions) {\r\n            this.options = callOrReturn(getExtensionField(this, 'addOptions', {\r\n                name: this.name,\r\n            }));\r\n        }\r\n        this.storage = callOrReturn(getExtensionField(this, 'addStorage', {\r\n            name: this.name,\r\n            options: this.options,\r\n        })) || {};\r\n    }\r\n    static create(config = {}) {\r\n        return new Node(config);\r\n    }\r\n    configure(options = {}) {\r\n        // return a new instance so we can use the same extension\r\n        // with different calls of `configure`\r\n        const extension = this.extend();\r\n        extension.options = mergeDeep(this.options, options);\r\n        extension.storage = callOrReturn(getExtensionField(extension, 'addStorage', {\r\n            name: extension.name,\r\n            options: extension.options,\r\n        }));\r\n        return extension;\r\n    }\r\n    extend(extendedConfig = {}) {\r\n        const extension = new Node({ ...this.config, ...extendedConfig });\r\n        extension.parent = this;\r\n        this.child = extension;\r\n        extension.name = extendedConfig.name ? extendedConfig.name : extension.parent.name;\r\n        if (extendedConfig.defaultOptions) {\r\n            console.warn(`[tiptap warn]: BREAKING CHANGE: \"defaultOptions\" is deprecated. Please use \"addOptions\" instead. Found in extension: \"${extension.name}\".`);\r\n        }\r\n        extension.options = callOrReturn(getExtensionField(extension, 'addOptions', {\r\n            name: extension.name,\r\n        }));\r\n        extension.storage = callOrReturn(getExtensionField(extension, 'addStorage', {\r\n            name: extension.name,\r\n            options: extension.options,\r\n        }));\r\n        return extension;\r\n    }\r\n}\n\nfunction isAndroid() {\r\n    return navigator.platform === 'Android' || /android/i.test(navigator.userAgent);\r\n}\n\nclass NodeView {\r\n    constructor(component, props, options) {\r\n        this.isDragging = false;\r\n        this.component = component;\r\n        this.editor = props.editor;\r\n        this.options = {\r\n            stopEvent: null,\r\n            ignoreMutation: null,\r\n            ...options,\r\n        };\r\n        this.extension = props.extension;\r\n        this.node = props.node;\r\n        this.decorations = props.decorations;\r\n        this.getPos = props.getPos;\r\n        this.mount();\r\n    }\r\n    mount() {\r\n        // eslint-disable-next-line\r\n        return;\r\n    }\r\n    get dom() {\r\n        return this.editor.view.dom;\r\n    }\r\n    get contentDOM() {\r\n        return null;\r\n    }\r\n    onDragStart(event) {\r\n        var _a, _b, _c, _d, _e, _f, _g;\r\n        const { view } = this.editor;\r\n        const target = event.target;\r\n        // get the drag handle element\r\n        // `closest` is not available for text nodes so we may have to use its parent\r\n        const dragHandle = target.nodeType === 3\r\n            ? (_a = target.parentElement) === null || _a === void 0 ? void 0 : _a.closest('[data-drag-handle]')\r\n            : target.closest('[data-drag-handle]');\r\n        if (!this.dom || ((_b = this.contentDOM) === null || _b === void 0 ? void 0 : _b.contains(target)) || !dragHandle) {\r\n            return;\r\n        }\r\n        let x = 0;\r\n        let y = 0;\r\n        // calculate offset for drag element if we use a different drag handle element\r\n        if (this.dom !== dragHandle) {\r\n            const domBox = this.dom.getBoundingClientRect();\r\n            const handleBox = dragHandle.getBoundingClientRect();\r\n            // In React, we have to go through nativeEvent to reach offsetX/offsetY.\r\n            const offsetX = (_c = event.offsetX) !== null && _c !== void 0 ? _c : (_d = event.nativeEvent) === null || _d === void 0 ? void 0 : _d.offsetX;\r\n            const offsetY = (_e = event.offsetY) !== null && _e !== void 0 ? _e : (_f = event.nativeEvent) === null || _f === void 0 ? void 0 : _f.offsetY;\r\n            x = handleBox.x - domBox.x + offsetX;\r\n            y = handleBox.y - domBox.y + offsetY;\r\n        }\r\n        (_g = event.dataTransfer) === null || _g === void 0 ? void 0 : _g.setDragImage(this.dom, x, y);\r\n        // we need to tell ProseMirror that we want to move the whole node\r\n        // so we create a NodeSelection\r\n        const selection = NodeSelection.create(view.state.doc, this.getPos());\r\n        const transaction = view.state.tr.setSelection(selection);\r\n        view.dispatch(transaction);\r\n    }\r\n    stopEvent(event) {\r\n        var _a;\r\n        if (!this.dom) {\r\n            return false;\r\n        }\r\n        if (typeof this.options.stopEvent === 'function') {\r\n            return this.options.stopEvent({ event });\r\n        }\r\n        const target = event.target;\r\n        const isInElement = this.dom.contains(target) && !((_a = this.contentDOM) === null || _a === void 0 ? void 0 : _a.contains(target));\r\n        // any event from child nodes should be handled by ProseMirror\r\n        if (!isInElement) {\r\n            return false;\r\n        }\r\n        const isDragEvent = event.type.startsWith('drag');\r\n        const isDropEvent = event.type === 'drop';\r\n        const isInput = ['INPUT', 'BUTTON', 'SELECT', 'TEXTAREA'].includes(target.tagName) || target.isContentEditable;\r\n        // any input event within node views should be ignored by ProseMirror\r\n        if (isInput && !isDropEvent && !isDragEvent) {\r\n            return true;\r\n        }\r\n        const { isEditable } = this.editor;\r\n        const { isDragging } = this;\r\n        const isDraggable = !!this.node.type.spec.draggable;\r\n        const isSelectable = NodeSelection.isSelectable(this.node);\r\n        const isCopyEvent = event.type === 'copy';\r\n        const isPasteEvent = event.type === 'paste';\r\n        const isCutEvent = event.type === 'cut';\r\n        const isClickEvent = event.type === 'mousedown';\r\n        // ProseMirror tries to drag selectable nodes\r\n        // even if `draggable` is set to `false`\r\n        // this fix prevents that\r\n        if (!isDraggable && isSelectable && isDragEvent) {\r\n            event.preventDefault();\r\n        }\r\n        if (isDraggable && isDragEvent && !isDragging) {\r\n            event.preventDefault();\r\n            return false;\r\n        }\r\n        // we have to store that dragging started\r\n        if (isDraggable && isEditable && !isDragging && isClickEvent) {\r\n            const dragHandle = target.closest('[data-drag-handle]');\r\n            const isValidDragHandle = dragHandle && (this.dom === dragHandle || this.dom.contains(dragHandle));\r\n            if (isValidDragHandle) {\r\n                this.isDragging = true;\r\n                document.addEventListener('dragend', () => {\r\n                    this.isDragging = false;\r\n                }, { once: true });\r\n                document.addEventListener('drop', () => {\r\n                    this.isDragging = false;\r\n                }, { once: true });\r\n                document.addEventListener('mouseup', () => {\r\n                    this.isDragging = false;\r\n                }, { once: true });\r\n            }\r\n        }\r\n        // these events are handled by prosemirror\r\n        if (isDragging\r\n            || isDropEvent\r\n            || isCopyEvent\r\n            || isPasteEvent\r\n            || isCutEvent\r\n            || (isClickEvent && isSelectable)) {\r\n            return false;\r\n        }\r\n        return true;\r\n    }\r\n    ignoreMutation(mutation) {\r\n        if (!this.dom || !this.contentDOM) {\r\n            return true;\r\n        }\r\n        if (typeof this.options.ignoreMutation === 'function') {\r\n            return this.options.ignoreMutation({ mutation });\r\n        }\r\n        // a leaf/atom node is like a black box for ProseMirror\r\n        // and should be fully handled by the node view\r\n        if (this.node.isLeaf || this.node.isAtom) {\r\n            return true;\r\n        }\r\n        // ProseMirror should handle any selections\r\n        if (mutation.type === 'selection') {\r\n            return false;\r\n        }\r\n        // try to prevent a bug on iOS and Android that will break node views on enter\r\n        // this is because ProseMirror can’t preventDispatch on enter\r\n        // this will lead to a re-render of the node view on enter\r\n        // see: https://github.com/ueberdosis/tiptap/issues/1214\r\n        // see: https://github.com/ueberdosis/tiptap/issues/2534\r\n        if (this.dom.contains(mutation.target)\r\n            && mutation.type === 'childList'\r\n            && (isiOS() || isAndroid())\r\n            && this.editor.isFocused) {\r\n            const changedNodes = [\r\n                ...Array.from(mutation.addedNodes),\r\n                ...Array.from(mutation.removedNodes),\r\n            ];\r\n            // we’ll check if every changed node is contentEditable\r\n            // to make sure it’s probably mutated by ProseMirror\r\n            if (changedNodes.every(node => node.isContentEditable)) {\r\n                return false;\r\n            }\r\n        }\r\n        // we will allow mutation contentDOM with attributes\r\n        // so we can for example adding classes within our node view\r\n        if (this.contentDOM === mutation.target && mutation.type === 'attributes') {\r\n            return true;\r\n        }\r\n        // ProseMirror should handle any changes within contentDOM\r\n        if (this.contentDOM.contains(mutation.target)) {\r\n            return false;\r\n        }\r\n        return true;\r\n    }\r\n    updateAttributes(attributes) {\r\n        this.editor.commands.command(({ tr }) => {\r\n            const pos = this.getPos();\r\n            tr.setNodeMarkup(pos, undefined, {\r\n                ...this.node.attrs,\r\n                ...attributes,\r\n            });\r\n            return true;\r\n        });\r\n    }\r\n    deleteNode() {\r\n        const from = this.getPos();\r\n        const to = from + this.node.nodeSize;\r\n        this.editor.commands.deleteRange({ from, to });\r\n    }\r\n}\n\n/**\r\n * Build an paste rule that adds a mark when the\r\n * matched text is pasted into it.\r\n */\r\nfunction markPasteRule(config) {\r\n    return new PasteRule({\r\n        find: config.find,\r\n        handler: ({ state, range, match, pasteEvent, }) => {\r\n            const attributes = callOrReturn(config.getAttributes, undefined, match, pasteEvent);\r\n            if (attributes === false || attributes === null) {\r\n                return null;\r\n            }\r\n            const { tr } = state;\r\n            const captureGroup = match[match.length - 1];\r\n            const fullMatch = match[0];\r\n            let markEnd = range.to;\r\n            if (captureGroup) {\r\n                const startSpaces = fullMatch.search(/\\S/);\r\n                const textStart = range.from + fullMatch.indexOf(captureGroup);\r\n                const textEnd = textStart + captureGroup.length;\r\n                const excludedMarks = getMarksBetween(range.from, range.to, state.doc)\r\n                    .filter(item => {\r\n                    // @ts-ignore\r\n                    const excluded = item.mark.type.excluded;\r\n                    return excluded.find(type => type === config.type && type !== item.mark.type);\r\n                })\r\n                    .filter(item => item.to > textStart);\r\n                if (excludedMarks.length) {\r\n                    return null;\r\n                }\r\n                if (textEnd < range.to) {\r\n                    tr.delete(textEnd, range.to);\r\n                }\r\n                if (textStart > range.from) {\r\n                    tr.delete(range.from + startSpaces, textStart);\r\n                }\r\n                markEnd = range.from + startSpaces + captureGroup.length;\r\n                tr.addMark(range.from + startSpaces, markEnd, config.type.create(attributes || {}));\r\n                tr.removeStoredMark(config.type);\r\n            }\r\n        },\r\n    });\r\n}\n\n// source: https://stackoverflow.com/a/6969486\r\nfunction escapeForRegEx(string) {\r\n    return string.replace(/[-/\\\\^$*+?.()|[\\]{}]/g, '\\\\$&');\r\n}\n\nfunction isString(value) {\r\n    return typeof value === 'string';\r\n}\n\n/**\r\n * Build an paste rule that adds a node when the\r\n * matched text is pasted into it.\r\n */\r\nfunction nodePasteRule(config) {\r\n    return new PasteRule({\r\n        find: config.find,\r\n        handler({ match, chain, range, pasteEvent, }) {\r\n            const attributes = callOrReturn(config.getAttributes, undefined, match, pasteEvent);\r\n            if (attributes === false || attributes === null) {\r\n                return null;\r\n            }\r\n            if (match.input) {\r\n                chain().deleteRange(range).insertContentAt(range.from, {\r\n                    type: config.type.name,\r\n                    attrs: attributes,\r\n                });\r\n            }\r\n        },\r\n    });\r\n}\n\n/**\r\n * Build an paste rule that replaces text when the\r\n * matched text is pasted into it.\r\n */\r\nfunction textPasteRule(config) {\r\n    return new PasteRule({\r\n        find: config.find,\r\n        handler: ({ state, range, match }) => {\r\n            let insert = config.replace;\r\n            let start = range.from;\r\n            const end = range.to;\r\n            if (match[1]) {\r\n                const offset = match[0].lastIndexOf(match[1]);\r\n                insert += match[0].slice(offset + match[1].length);\r\n                start += offset;\r\n                const cutOff = start - end;\r\n                if (cutOff > 0) {\r\n                    insert = match[0].slice(offset - cutOff, offset) + insert;\r\n                    start = end;\r\n                }\r\n            }\r\n            state.tr.insertText(insert, start, end);\r\n        },\r\n    });\r\n}\n\nclass Tracker {\r\n    constructor(transaction) {\r\n        this.transaction = transaction;\r\n        this.currentStep = this.transaction.steps.length;\r\n    }\r\n    map(position) {\r\n        let deleted = false;\r\n        const mappedPosition = this.transaction.steps\r\n            .slice(this.currentStep)\r\n            .reduce((newPosition, step) => {\r\n            const mapResult = step.getMap().mapResult(newPosition);\r\n            if (mapResult.deleted) {\r\n                deleted = true;\r\n            }\r\n            return mapResult.pos;\r\n        }, position);\r\n        return {\r\n            position: mappedPosition,\r\n            deleted,\r\n        };\r\n    }\r\n}\n\nexport { CommandManager, Editor, Extension, InputRule, Mark, Node, NodePos, NodeView, PasteRule, Tracker, callOrReturn, combineTransactionSteps, createChainableState, createDocument, createNodeFromContent, createStyleTag, defaultBlockAt, deleteProps, elementFromString, escapeForRegEx, index as extensions, findChildren, findChildrenInRange, findDuplicates, findParentNode, findParentNodeClosestToPos, fromString, generateHTML, generateJSON, generateText, getAttributes, getAttributesFromExtensions, getChangedRanges, getDebugJSON, getExtensionField, getHTMLFromFragment, getMarkAttributes, getMarkRange, getMarkType, getMarksBetween, getNodeAtPosition, getNodeAttributes, getNodeType, getRenderedAttributes, getSchema, getSchemaByResolvedExtensions, getSchemaTypeByName, getSchemaTypeNameByName, getSplittedAttributes, getText, getTextBetween, getTextContentFromNodes, getTextSerializersFromSchema, injectExtensionAttributesToParseRule, inputRulesPlugin, isActive, isAtEndOfNode, isAtStartOfNode, isEmptyObject, isExtensionRulesEnabled, isFunction, isList, isMacOS, isMarkActive, isNodeActive, isNodeEmpty, isNodeSelection, isNumber, isPlainObject, isRegExp, isString, isTextSelection, isiOS, markInputRule, markPasteRule, mergeAttributes, mergeDeep, minMax, nodeInputRule, nodePasteRule, objectIncludes, pasteRulesPlugin, posToDOMRect, removeDuplicates, resolveFocusPosition, selectionToInsertionEnd, splitExtensions, textInputRule, textPasteRule, textblockTypeInputRule, wrappingInputRule };\n//# sourceMappingURL=index.js.map\n","export default function getWindow(node) {\n  if (node == null) {\n    return window;\n  }\n\n  if (node.toString() !== '[object Window]') {\n    var ownerDocument = node.ownerDocument;\n    return ownerDocument ? ownerDocument.defaultView || window : window;\n  }\n\n  return node;\n}","import getWindow from \"./getWindow.js\";\n\nfunction isElement(node) {\n  var OwnElement = getWindow(node).Element;\n  return node instanceof OwnElement || node instanceof Element;\n}\n\nfunction isHTMLElement(node) {\n  var OwnElement = getWindow(node).HTMLElement;\n  return node instanceof OwnElement || node instanceof HTMLElement;\n}\n\nfunction isShadowRoot(node) {\n  // IE 11 has no ShadowRoot\n  if (typeof ShadowRoot === 'undefined') {\n    return false;\n  }\n\n  var OwnElement = getWindow(node).ShadowRoot;\n  return node instanceof OwnElement || node instanceof ShadowRoot;\n}\n\nexport { isElement, isHTMLElement, isShadowRoot };","export var max = Math.max;\nexport var min = Math.min;\nexport var round = Math.round;","export default function getUAString() {\n  var uaData = navigator.userAgentData;\n\n  if (uaData != null && uaData.brands && Array.isArray(uaData.brands)) {\n    return uaData.brands.map(function (item) {\n      return item.brand + \"/\" + item.version;\n    }).join(' ');\n  }\n\n  return navigator.userAgent;\n}","import getUAString from \"../utils/userAgent.js\";\nexport default function isLayoutViewport() {\n  return !/^((?!chrome|android).)*safari/i.test(getUAString());\n}","import { isElement, isHTMLElement } from \"./instanceOf.js\";\nimport { round } from \"../utils/math.js\";\nimport getWindow from \"./getWindow.js\";\nimport isLayoutViewport from \"./isLayoutViewport.js\";\nexport default function getBoundingClientRect(element, includeScale, isFixedStrategy) {\n  if (includeScale === void 0) {\n    includeScale = false;\n  }\n\n  if (isFixedStrategy === void 0) {\n    isFixedStrategy = false;\n  }\n\n  var clientRect = element.getBoundingClientRect();\n  var scaleX = 1;\n  var scaleY = 1;\n\n  if (includeScale && isHTMLElement(element)) {\n    scaleX = element.offsetWidth > 0 ? round(clientRect.width) / element.offsetWidth || 1 : 1;\n    scaleY = element.offsetHeight > 0 ? round(clientRect.height) / element.offsetHeight || 1 : 1;\n  }\n\n  var _ref = isElement(element) ? getWindow(element) : window,\n      visualViewport = _ref.visualViewport;\n\n  var addVisualOffsets = !isLayoutViewport() && isFixedStrategy;\n  var x = (clientRect.left + (addVisualOffsets && visualViewport ? visualViewport.offsetLeft : 0)) / scaleX;\n  var y = (clientRect.top + (addVisualOffsets && visualViewport ? visualViewport.offsetTop : 0)) / scaleY;\n  var width = clientRect.width / scaleX;\n  var height = clientRect.height / scaleY;\n  return {\n    width: width,\n    height: height,\n    top: y,\n    right: x + width,\n    bottom: y + height,\n    left: x,\n    x: x,\n    y: y\n  };\n}","import getWindow from \"./getWindow.js\";\nexport default function getWindowScroll(node) {\n  var win = getWindow(node);\n  var scrollLeft = win.pageXOffset;\n  var scrollTop = win.pageYOffset;\n  return {\n    scrollLeft: scrollLeft,\n    scrollTop: scrollTop\n  };\n}","export default function getHTMLElementScroll(element) {\n  return {\n    scrollLeft: element.scrollLeft,\n    scrollTop: element.scrollTop\n  };\n}","import getWindowScroll from \"./getWindowScroll.js\";\nimport getWindow from \"./getWindow.js\";\nimport { isHTMLElement } from \"./instanceOf.js\";\nimport getHTMLElementScroll from \"./getHTMLElementScroll.js\";\nexport default function getNodeScroll(node) {\n  if (node === getWindow(node) || !isHTMLElement(node)) {\n    return getWindowScroll(node);\n  } else {\n    return getHTMLElementScroll(node);\n  }\n}","export default function getNodeName(element) {\n  return element ? (element.nodeName || '').toLowerCase() : null;\n}","import { isElement } from \"./instanceOf.js\";\nexport default function getDocumentElement(element) {\n  // $FlowFixMe[incompatible-return]: assume body is always available\n  return ((isElement(element) ? element.ownerDocument : // $FlowFixMe[prop-missing]\n  element.document) || window.document).documentElement;\n}","import getBoundingClientRect from \"./getBoundingClientRect.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport getWindowScroll from \"./getWindowScroll.js\";\nexport default function getWindowScrollBarX(element) {\n  // If <html> has a CSS width greater than the viewport, then this will be\n  // incorrect for RTL.\n  // Popper 1 is broken in this case and never had a bug report so let's assume\n  // it's not an issue. I don't think anyone ever specifies width on <html>\n  // anyway.\n  // Browsers where the left scrollbar doesn't cause an issue report `0` for\n  // this (e.g. Edge 2019, IE11, Safari)\n  return getBoundingClientRect(getDocumentElement(element)).left + getWindowScroll(element).scrollLeft;\n}","import getWindow from \"./getWindow.js\";\nexport default function getComputedStyle(element) {\n  return getWindow(element).getComputedStyle(element);\n}","import getComputedStyle from \"./getComputedStyle.js\";\nexport default function isScrollParent(element) {\n  // Firefox wants us to check `-x` and `-y` variations as well\n  var _getComputedStyle = getComputedStyle(element),\n      overflow = _getComputedStyle.overflow,\n      overflowX = _getComputedStyle.overflowX,\n      overflowY = _getComputedStyle.overflowY;\n\n  return /auto|scroll|overlay|hidden/.test(overflow + overflowY + overflowX);\n}","import getBoundingClientRect from \"./getBoundingClientRect.js\";\nimport getNodeScroll from \"./getNodeScroll.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport { isHTMLElement } from \"./instanceOf.js\";\nimport getWindowScrollBarX from \"./getWindowScrollBarX.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport isScrollParent from \"./isScrollParent.js\";\nimport { round } from \"../utils/math.js\";\n\nfunction isElementScaled(element) {\n  var rect = element.getBoundingClientRect();\n  var scaleX = round(rect.width) / element.offsetWidth || 1;\n  var scaleY = round(rect.height) / element.offsetHeight || 1;\n  return scaleX !== 1 || scaleY !== 1;\n} // Returns the composite rect of an element relative to its offsetParent.\n// Composite means it takes into account transforms as well as layout.\n\n\nexport default function getCompositeRect(elementOrVirtualElement, offsetParent, isFixed) {\n  if (isFixed === void 0) {\n    isFixed = false;\n  }\n\n  var isOffsetParentAnElement = isHTMLElement(offsetParent);\n  var offsetParentIsScaled = isHTMLElement(offsetParent) && isElementScaled(offsetParent);\n  var documentElement = getDocumentElement(offsetParent);\n  var rect = getBoundingClientRect(elementOrVirtualElement, offsetParentIsScaled, isFixed);\n  var scroll = {\n    scrollLeft: 0,\n    scrollTop: 0\n  };\n  var offsets = {\n    x: 0,\n    y: 0\n  };\n\n  if (isOffsetParentAnElement || !isOffsetParentAnElement && !isFixed) {\n    if (getNodeName(offsetParent) !== 'body' || // https://github.com/popperjs/popper-core/issues/1078\n    isScrollParent(documentElement)) {\n      scroll = getNodeScroll(offsetParent);\n    }\n\n    if (isHTMLElement(offsetParent)) {\n      offsets = getBoundingClientRect(offsetParent, true);\n      offsets.x += offsetParent.clientLeft;\n      offsets.y += offsetParent.clientTop;\n    } else if (documentElement) {\n      offsets.x = getWindowScrollBarX(documentElement);\n    }\n  }\n\n  return {\n    x: rect.left + scroll.scrollLeft - offsets.x,\n    y: rect.top + scroll.scrollTop - offsets.y,\n    width: rect.width,\n    height: rect.height\n  };\n}","import getBoundingClientRect from \"./getBoundingClientRect.js\"; // Returns the layout rect of an element relative to its offsetParent. Layout\n// means it doesn't take into account transforms.\n\nexport default function getLayoutRect(element) {\n  var clientRect = getBoundingClientRect(element); // Use the clientRect sizes if it's not been transformed.\n  // Fixes https://github.com/popperjs/popper-core/issues/1223\n\n  var width = element.offsetWidth;\n  var height = element.offsetHeight;\n\n  if (Math.abs(clientRect.width - width) <= 1) {\n    width = clientRect.width;\n  }\n\n  if (Math.abs(clientRect.height - height) <= 1) {\n    height = clientRect.height;\n  }\n\n  return {\n    x: element.offsetLeft,\n    y: element.offsetTop,\n    width: width,\n    height: height\n  };\n}","import getNodeName from \"./getNodeName.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport { isShadowRoot } from \"./instanceOf.js\";\nexport default function getParentNode(element) {\n  if (getNodeName(element) === 'html') {\n    return element;\n  }\n\n  return (// this is a quicker (but less type safe) way to save quite some bytes from the bundle\n    // $FlowFixMe[incompatible-return]\n    // $FlowFixMe[prop-missing]\n    element.assignedSlot || // step into the shadow DOM of the parent of a slotted node\n    element.parentNode || ( // DOM Element detected\n    isShadowRoot(element) ? element.host : null) || // ShadowRoot detected\n    // $FlowFixMe[incompatible-call]: HTMLElement is a Node\n    getDocumentElement(element) // fallback\n\n  );\n}","import getParentNode from \"./getParentNode.js\";\nimport isScrollParent from \"./isScrollParent.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport { isHTMLElement } from \"./instanceOf.js\";\nexport default function getScrollParent(node) {\n  if (['html', 'body', '#document'].indexOf(getNodeName(node)) >= 0) {\n    // $FlowFixMe[incompatible-return]: assume body is always available\n    return node.ownerDocument.body;\n  }\n\n  if (isHTMLElement(node) && isScrollParent(node)) {\n    return node;\n  }\n\n  return getScrollParent(getParentNode(node));\n}","import getScrollParent from \"./getScrollParent.js\";\nimport getParentNode from \"./getParentNode.js\";\nimport getWindow from \"./getWindow.js\";\nimport isScrollParent from \"./isScrollParent.js\";\n/*\ngiven a DOM element, return the list of all scroll parents, up the list of ancesors\nuntil we get to the top window object. This list is what we attach scroll listeners\nto, because if any of these parent elements scroll, we'll need to re-calculate the\nreference element's position.\n*/\n\nexport default function listScrollParents(element, list) {\n  var _element$ownerDocumen;\n\n  if (list === void 0) {\n    list = [];\n  }\n\n  var scrollParent = getScrollParent(element);\n  var isBody = scrollParent === ((_element$ownerDocumen = element.ownerDocument) == null ? void 0 : _element$ownerDocumen.body);\n  var win = getWindow(scrollParent);\n  var target = isBody ? [win].concat(win.visualViewport || [], isScrollParent(scrollParent) ? scrollParent : []) : scrollParent;\n  var updatedList = list.concat(target);\n  return isBody ? updatedList : // $FlowFixMe[incompatible-call]: isBody tells us target will be an HTMLElement here\n  updatedList.concat(listScrollParents(getParentNode(target)));\n}","import getNodeName from \"./getNodeName.js\";\nexport default function isTableElement(element) {\n  return ['table', 'td', 'th'].indexOf(getNodeName(element)) >= 0;\n}","import getWindow from \"./getWindow.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport getComputedStyle from \"./getComputedStyle.js\";\nimport { isHTMLElement, isShadowRoot } from \"./instanceOf.js\";\nimport isTableElement from \"./isTableElement.js\";\nimport getParentNode from \"./getParentNode.js\";\nimport getUAString from \"../utils/userAgent.js\";\n\nfunction getTrueOffsetParent(element) {\n  if (!isHTMLElement(element) || // https://github.com/popperjs/popper-core/issues/837\n  getComputedStyle(element).position === 'fixed') {\n    return null;\n  }\n\n  return element.offsetParent;\n} // `.offsetParent` reports `null` for fixed elements, while absolute elements\n// return the containing block\n\n\nfunction getContainingBlock(element) {\n  var isFirefox = /firefox/i.test(getUAString());\n  var isIE = /Trident/i.test(getUAString());\n\n  if (isIE && isHTMLElement(element)) {\n    // In IE 9, 10 and 11 fixed elements containing block is always established by the viewport\n    var elementCss = getComputedStyle(element);\n\n    if (elementCss.position === 'fixed') {\n      return null;\n    }\n  }\n\n  var currentNode = getParentNode(element);\n\n  if (isShadowRoot(currentNode)) {\n    currentNode = currentNode.host;\n  }\n\n  while (isHTMLElement(currentNode) && ['html', 'body'].indexOf(getNodeName(currentNode)) < 0) {\n    var css = getComputedStyle(currentNode); // This is non-exhaustive but covers the most common CSS properties that\n    // create a containing block.\n    // https://developer.mozilla.org/en-US/docs/Web/CSS/Containing_block#identifying_the_containing_block\n\n    if (css.transform !== 'none' || css.perspective !== 'none' || css.contain === 'paint' || ['transform', 'perspective'].indexOf(css.willChange) !== -1 || isFirefox && css.willChange === 'filter' || isFirefox && css.filter && css.filter !== 'none') {\n      return currentNode;\n    } else {\n      currentNode = currentNode.parentNode;\n    }\n  }\n\n  return null;\n} // Gets the closest ancestor positioned element. Handles some edge cases,\n// such as table ancestors and cross browser bugs.\n\n\nexport default function getOffsetParent(element) {\n  var window = getWindow(element);\n  var offsetParent = getTrueOffsetParent(element);\n\n  while (offsetParent && isTableElement(offsetParent) && getComputedStyle(offsetParent).position === 'static') {\n    offsetParent = getTrueOffsetParent(offsetParent);\n  }\n\n  if (offsetParent && (getNodeName(offsetParent) === 'html' || getNodeName(offsetParent) === 'body' && getComputedStyle(offsetParent).position === 'static')) {\n    return window;\n  }\n\n  return offsetParent || getContainingBlock(element) || window;\n}","export var top = 'top';\nexport var bottom = 'bottom';\nexport var right = 'right';\nexport var left = 'left';\nexport var auto = 'auto';\nexport var basePlacements = [top, bottom, right, left];\nexport var start = 'start';\nexport var end = 'end';\nexport var clippingParents = 'clippingParents';\nexport var viewport = 'viewport';\nexport var popper = 'popper';\nexport var reference = 'reference';\nexport var variationPlacements = /*#__PURE__*/basePlacements.reduce(function (acc, placement) {\n  return acc.concat([placement + \"-\" + start, placement + \"-\" + end]);\n}, []);\nexport var placements = /*#__PURE__*/[].concat(basePlacements, [auto]).reduce(function (acc, placement) {\n  return acc.concat([placement, placement + \"-\" + start, placement + \"-\" + end]);\n}, []); // modifiers that need to read the DOM\n\nexport var beforeRead = 'beforeRead';\nexport var read = 'read';\nexport var afterRead = 'afterRead'; // pure-logic modifiers\n\nexport var beforeMain = 'beforeMain';\nexport var main = 'main';\nexport var afterMain = 'afterMain'; // modifier with the purpose to write to the DOM (or write into a framework state)\n\nexport var beforeWrite = 'beforeWrite';\nexport var write = 'write';\nexport var afterWrite = 'afterWrite';\nexport var modifierPhases = [beforeRead, read, afterRead, beforeMain, main, afterMain, beforeWrite, write, afterWrite];","import { modifierPhases } from \"../enums.js\"; // source: https://stackoverflow.com/questions/49875255\n\nfunction order(modifiers) {\n  var map = new Map();\n  var visited = new Set();\n  var result = [];\n  modifiers.forEach(function (modifier) {\n    map.set(modifier.name, modifier);\n  }); // On visiting object, check for its dependencies and visit them recursively\n\n  function sort(modifier) {\n    visited.add(modifier.name);\n    var requires = [].concat(modifier.requires || [], modifier.requiresIfExists || []);\n    requires.forEach(function (dep) {\n      if (!visited.has(dep)) {\n        var depModifier = map.get(dep);\n\n        if (depModifier) {\n          sort(depModifier);\n        }\n      }\n    });\n    result.push(modifier);\n  }\n\n  modifiers.forEach(function (modifier) {\n    if (!visited.has(modifier.name)) {\n      // check for visited object\n      sort(modifier);\n    }\n  });\n  return result;\n}\n\nexport default function orderModifiers(modifiers) {\n  // order based on dependencies\n  var orderedModifiers = order(modifiers); // order based on phase\n\n  return modifierPhases.reduce(function (acc, phase) {\n    return acc.concat(orderedModifiers.filter(function (modifier) {\n      return modifier.phase === phase;\n    }));\n  }, []);\n}","export default function debounce(fn) {\n  var pending;\n  return function () {\n    if (!pending) {\n      pending = new Promise(function (resolve) {\n        Promise.resolve().then(function () {\n          pending = undefined;\n          resolve(fn());\n        });\n      });\n    }\n\n    return pending;\n  };\n}","export default function mergeByName(modifiers) {\n  var merged = modifiers.reduce(function (merged, current) {\n    var existing = merged[current.name];\n    merged[current.name] = existing ? Object.assign({}, existing, current, {\n      options: Object.assign({}, existing.options, current.options),\n      data: Object.assign({}, existing.data, current.data)\n    }) : current;\n    return merged;\n  }, {}); // IE11 does not support Object.values\n\n  return Object.keys(merged).map(function (key) {\n    return merged[key];\n  });\n}","import getCompositeRect from \"./dom-utils/getCompositeRect.js\";\nimport getLayoutRect from \"./dom-utils/getLayoutRect.js\";\nimport listScrollParents from \"./dom-utils/listScrollParents.js\";\nimport getOffsetParent from \"./dom-utils/getOffsetParent.js\";\nimport orderModifiers from \"./utils/orderModifiers.js\";\nimport debounce from \"./utils/debounce.js\";\nimport mergeByName from \"./utils/mergeByName.js\";\nimport detectOverflow from \"./utils/detectOverflow.js\";\nimport { isElement } from \"./dom-utils/instanceOf.js\";\nvar DEFAULT_OPTIONS = {\n  placement: 'bottom',\n  modifiers: [],\n  strategy: 'absolute'\n};\n\nfunction areValidElements() {\n  for (var _len = arguments.length, args = new Array(_len), _key = 0; _key < _len; _key++) {\n    args[_key] = arguments[_key];\n  }\n\n  return !args.some(function (element) {\n    return !(element && typeof element.getBoundingClientRect === 'function');\n  });\n}\n\nexport function popperGenerator(generatorOptions) {\n  if (generatorOptions === void 0) {\n    generatorOptions = {};\n  }\n\n  var _generatorOptions = generatorOptions,\n      _generatorOptions$def = _generatorOptions.defaultModifiers,\n      defaultModifiers = _generatorOptions$def === void 0 ? [] : _generatorOptions$def,\n      _generatorOptions$def2 = _generatorOptions.defaultOptions,\n      defaultOptions = _generatorOptions$def2 === void 0 ? DEFAULT_OPTIONS : _generatorOptions$def2;\n  return function createPopper(reference, popper, options) {\n    if (options === void 0) {\n      options = defaultOptions;\n    }\n\n    var state = {\n      placement: 'bottom',\n      orderedModifiers: [],\n      options: Object.assign({}, DEFAULT_OPTIONS, defaultOptions),\n      modifiersData: {},\n      elements: {\n        reference: reference,\n        popper: popper\n      },\n      attributes: {},\n      styles: {}\n    };\n    var effectCleanupFns = [];\n    var isDestroyed = false;\n    var instance = {\n      state: state,\n      setOptions: function setOptions(setOptionsAction) {\n        var options = typeof setOptionsAction === 'function' ? setOptionsAction(state.options) : setOptionsAction;\n        cleanupModifierEffects();\n        state.options = Object.assign({}, defaultOptions, state.options, options);\n        state.scrollParents = {\n          reference: isElement(reference) ? listScrollParents(reference) : reference.contextElement ? listScrollParents(reference.contextElement) : [],\n          popper: listScrollParents(popper)\n        }; // Orders the modifiers based on their dependencies and `phase`\n        // properties\n\n        var orderedModifiers = orderModifiers(mergeByName([].concat(defaultModifiers, state.options.modifiers))); // Strip out disabled modifiers\n\n        state.orderedModifiers = orderedModifiers.filter(function (m) {\n          return m.enabled;\n        });\n        runModifierEffects();\n        return instance.update();\n      },\n      // Sync update – it will always be executed, even if not necessary. This\n      // is useful for low frequency updates where sync behavior simplifies the\n      // logic.\n      // For high frequency updates (e.g. `resize` and `scroll` events), always\n      // prefer the async Popper#update method\n      forceUpdate: function forceUpdate() {\n        if (isDestroyed) {\n          return;\n        }\n\n        var _state$elements = state.elements,\n            reference = _state$elements.reference,\n            popper = _state$elements.popper; // Don't proceed if `reference` or `popper` are not valid elements\n        // anymore\n\n        if (!areValidElements(reference, popper)) {\n          return;\n        } // Store the reference and popper rects to be read by modifiers\n\n\n        state.rects = {\n          reference: getCompositeRect(reference, getOffsetParent(popper), state.options.strategy === 'fixed'),\n          popper: getLayoutRect(popper)\n        }; // Modifiers have the ability to reset the current update cycle. The\n        // most common use case for this is the `flip` modifier changing the\n        // placement, which then needs to re-run all the modifiers, because the\n        // logic was previously ran for the previous placement and is therefore\n        // stale/incorrect\n\n        state.reset = false;\n        state.placement = state.options.placement; // On each update cycle, the `modifiersData` property for each modifier\n        // is filled with the initial data specified by the modifier. This means\n        // it doesn't persist and is fresh on each update.\n        // To ensure persistent data, use `${name}#persistent`\n\n        state.orderedModifiers.forEach(function (modifier) {\n          return state.modifiersData[modifier.name] = Object.assign({}, modifier.data);\n        });\n\n        for (var index = 0; index < state.orderedModifiers.length; index++) {\n          if (state.reset === true) {\n            state.reset = false;\n            index = -1;\n            continue;\n          }\n\n          var _state$orderedModifie = state.orderedModifiers[index],\n              fn = _state$orderedModifie.fn,\n              _state$orderedModifie2 = _state$orderedModifie.options,\n              _options = _state$orderedModifie2 === void 0 ? {} : _state$orderedModifie2,\n              name = _state$orderedModifie.name;\n\n          if (typeof fn === 'function') {\n            state = fn({\n              state: state,\n              options: _options,\n              name: name,\n              instance: instance\n            }) || state;\n          }\n        }\n      },\n      // Async and optimistically optimized update – it will not be executed if\n      // not necessary (debounced to run at most once-per-tick)\n      update: debounce(function () {\n        return new Promise(function (resolve) {\n          instance.forceUpdate();\n          resolve(state);\n        });\n      }),\n      destroy: function destroy() {\n        cleanupModifierEffects();\n        isDestroyed = true;\n      }\n    };\n\n    if (!areValidElements(reference, popper)) {\n      return instance;\n    }\n\n    instance.setOptions(options).then(function (state) {\n      if (!isDestroyed && options.onFirstUpdate) {\n        options.onFirstUpdate(state);\n      }\n    }); // Modifiers have the ability to execute arbitrary code before the first\n    // update cycle runs. They will be executed in the same order as the update\n    // cycle. This is useful when a modifier adds some persistent data that\n    // other modifiers need to use, but the modifier is run after the dependent\n    // one.\n\n    function runModifierEffects() {\n      state.orderedModifiers.forEach(function (_ref) {\n        var name = _ref.name,\n            _ref$options = _ref.options,\n            options = _ref$options === void 0 ? {} : _ref$options,\n            effect = _ref.effect;\n\n        if (typeof effect === 'function') {\n          var cleanupFn = effect({\n            state: state,\n            name: name,\n            instance: instance,\n            options: options\n          });\n\n          var noopFn = function noopFn() {};\n\n          effectCleanupFns.push(cleanupFn || noopFn);\n        }\n      });\n    }\n\n    function cleanupModifierEffects() {\n      effectCleanupFns.forEach(function (fn) {\n        return fn();\n      });\n      effectCleanupFns = [];\n    }\n\n    return instance;\n  };\n}\nexport var createPopper = /*#__PURE__*/popperGenerator(); // eslint-disable-next-line import/no-unused-modules\n\nexport { detectOverflow };","import getWindow from \"../dom-utils/getWindow.js\"; // eslint-disable-next-line import/no-unused-modules\n\nvar passive = {\n  passive: true\n};\n\nfunction effect(_ref) {\n  var state = _ref.state,\n      instance = _ref.instance,\n      options = _ref.options;\n  var _options$scroll = options.scroll,\n      scroll = _options$scroll === void 0 ? true : _options$scroll,\n      _options$resize = options.resize,\n      resize = _options$resize === void 0 ? true : _options$resize;\n  var window = getWindow(state.elements.popper);\n  var scrollParents = [].concat(state.scrollParents.reference, state.scrollParents.popper);\n\n  if (scroll) {\n    scrollParents.forEach(function (scrollParent) {\n      scrollParent.addEventListener('scroll', instance.update, passive);\n    });\n  }\n\n  if (resize) {\n    window.addEventListener('resize', instance.update, passive);\n  }\n\n  return function () {\n    if (scroll) {\n      scrollParents.forEach(function (scrollParent) {\n        scrollParent.removeEventListener('scroll', instance.update, passive);\n      });\n    }\n\n    if (resize) {\n      window.removeEventListener('resize', instance.update, passive);\n    }\n  };\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'eventListeners',\n  enabled: true,\n  phase: 'write',\n  fn: function fn() {},\n  effect: effect,\n  data: {}\n};","import { auto } from \"../enums.js\";\nexport default function getBasePlacement(placement) {\n  return placement.split('-')[0];\n}","export default function getVariation(placement) {\n  return placement.split('-')[1];\n}","export default function getMainAxisFromPlacement(placement) {\n  return ['top', 'bottom'].indexOf(placement) >= 0 ? 'x' : 'y';\n}","import getBasePlacement from \"./getBasePlacement.js\";\nimport getVariation from \"./getVariation.js\";\nimport getMainAxisFromPlacement from \"./getMainAxisFromPlacement.js\";\nimport { top, right, bottom, left, start, end } from \"../enums.js\";\nexport default function computeOffsets(_ref) {\n  var reference = _ref.reference,\n      element = _ref.element,\n      placement = _ref.placement;\n  var basePlacement = placement ? getBasePlacement(placement) : null;\n  var variation = placement ? getVariation(placement) : null;\n  var commonX = reference.x + reference.width / 2 - element.width / 2;\n  var commonY = reference.y + reference.height / 2 - element.height / 2;\n  var offsets;\n\n  switch (basePlacement) {\n    case top:\n      offsets = {\n        x: commonX,\n        y: reference.y - element.height\n      };\n      break;\n\n    case bottom:\n      offsets = {\n        x: commonX,\n        y: reference.y + reference.height\n      };\n      break;\n\n    case right:\n      offsets = {\n        x: reference.x + reference.width,\n        y: commonY\n      };\n      break;\n\n    case left:\n      offsets = {\n        x: reference.x - element.width,\n        y: commonY\n      };\n      break;\n\n    default:\n      offsets = {\n        x: reference.x,\n        y: reference.y\n      };\n  }\n\n  var mainAxis = basePlacement ? getMainAxisFromPlacement(basePlacement) : null;\n\n  if (mainAxis != null) {\n    var len = mainAxis === 'y' ? 'height' : 'width';\n\n    switch (variation) {\n      case start:\n        offsets[mainAxis] = offsets[mainAxis] - (reference[len] / 2 - element[len] / 2);\n        break;\n\n      case end:\n        offsets[mainAxis] = offsets[mainAxis] + (reference[len] / 2 - element[len] / 2);\n        break;\n\n      default:\n    }\n  }\n\n  return offsets;\n}","import computeOffsets from \"../utils/computeOffsets.js\";\n\nfunction popperOffsets(_ref) {\n  var state = _ref.state,\n      name = _ref.name;\n  // Offsets are the actual position the popper needs to have to be\n  // properly positioned near its reference element\n  // This is the most basic placement, and will be adjusted by\n  // the modifiers in the next step\n  state.modifiersData[name] = computeOffsets({\n    reference: state.rects.reference,\n    element: state.rects.popper,\n    strategy: 'absolute',\n    placement: state.placement\n  });\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'popperOffsets',\n  enabled: true,\n  phase: 'read',\n  fn: popperOffsets,\n  data: {}\n};","import { top, left, right, bottom, end } from \"../enums.js\";\nimport getOffsetParent from \"../dom-utils/getOffsetParent.js\";\nimport getWindow from \"../dom-utils/getWindow.js\";\nimport getDocumentElement from \"../dom-utils/getDocumentElement.js\";\nimport getComputedStyle from \"../dom-utils/getComputedStyle.js\";\nimport getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getVariation from \"../utils/getVariation.js\";\nimport { round } from \"../utils/math.js\"; // eslint-disable-next-line import/no-unused-modules\n\nvar unsetSides = {\n  top: 'auto',\n  right: 'auto',\n  bottom: 'auto',\n  left: 'auto'\n}; // Round the offsets to the nearest suitable subpixel based on the DPR.\n// Zooming can change the DPR, but it seems to report a value that will\n// cleanly divide the values into the appropriate subpixels.\n\nfunction roundOffsetsByDPR(_ref, win) {\n  var x = _ref.x,\n      y = _ref.y;\n  var dpr = win.devicePixelRatio || 1;\n  return {\n    x: round(x * dpr) / dpr || 0,\n    y: round(y * dpr) / dpr || 0\n  };\n}\n\nexport function mapToStyles(_ref2) {\n  var _Object$assign2;\n\n  var popper = _ref2.popper,\n      popperRect = _ref2.popperRect,\n      placement = _ref2.placement,\n      variation = _ref2.variation,\n      offsets = _ref2.offsets,\n      position = _ref2.position,\n      gpuAcceleration = _ref2.gpuAcceleration,\n      adaptive = _ref2.adaptive,\n      roundOffsets = _ref2.roundOffsets,\n      isFixed = _ref2.isFixed;\n  var _offsets$x = offsets.x,\n      x = _offsets$x === void 0 ? 0 : _offsets$x,\n      _offsets$y = offsets.y,\n      y = _offsets$y === void 0 ? 0 : _offsets$y;\n\n  var _ref3 = typeof roundOffsets === 'function' ? roundOffsets({\n    x: x,\n    y: y\n  }) : {\n    x: x,\n    y: y\n  };\n\n  x = _ref3.x;\n  y = _ref3.y;\n  var hasX = offsets.hasOwnProperty('x');\n  var hasY = offsets.hasOwnProperty('y');\n  var sideX = left;\n  var sideY = top;\n  var win = window;\n\n  if (adaptive) {\n    var offsetParent = getOffsetParent(popper);\n    var heightProp = 'clientHeight';\n    var widthProp = 'clientWidth';\n\n    if (offsetParent === getWindow(popper)) {\n      offsetParent = getDocumentElement(popper);\n\n      if (getComputedStyle(offsetParent).position !== 'static' && position === 'absolute') {\n        heightProp = 'scrollHeight';\n        widthProp = 'scrollWidth';\n      }\n    } // $FlowFixMe[incompatible-cast]: force type refinement, we compare offsetParent with window above, but Flow doesn't detect it\n\n\n    offsetParent = offsetParent;\n\n    if (placement === top || (placement === left || placement === right) && variation === end) {\n      sideY = bottom;\n      var offsetY = isFixed && offsetParent === win && win.visualViewport ? win.visualViewport.height : // $FlowFixMe[prop-missing]\n      offsetParent[heightProp];\n      y -= offsetY - popperRect.height;\n      y *= gpuAcceleration ? 1 : -1;\n    }\n\n    if (placement === left || (placement === top || placement === bottom) && variation === end) {\n      sideX = right;\n      var offsetX = isFixed && offsetParent === win && win.visualViewport ? win.visualViewport.width : // $FlowFixMe[prop-missing]\n      offsetParent[widthProp];\n      x -= offsetX - popperRect.width;\n      x *= gpuAcceleration ? 1 : -1;\n    }\n  }\n\n  var commonStyles = Object.assign({\n    position: position\n  }, adaptive && unsetSides);\n\n  var _ref4 = roundOffsets === true ? roundOffsetsByDPR({\n    x: x,\n    y: y\n  }, getWindow(popper)) : {\n    x: x,\n    y: y\n  };\n\n  x = _ref4.x;\n  y = _ref4.y;\n\n  if (gpuAcceleration) {\n    var _Object$assign;\n\n    return Object.assign({}, commonStyles, (_Object$assign = {}, _Object$assign[sideY] = hasY ? '0' : '', _Object$assign[sideX] = hasX ? '0' : '', _Object$assign.transform = (win.devicePixelRatio || 1) <= 1 ? \"translate(\" + x + \"px, \" + y + \"px)\" : \"translate3d(\" + x + \"px, \" + y + \"px, 0)\", _Object$assign));\n  }\n\n  return Object.assign({}, commonStyles, (_Object$assign2 = {}, _Object$assign2[sideY] = hasY ? y + \"px\" : '', _Object$assign2[sideX] = hasX ? x + \"px\" : '', _Object$assign2.transform = '', _Object$assign2));\n}\n\nfunction computeStyles(_ref5) {\n  var state = _ref5.state,\n      options = _ref5.options;\n  var _options$gpuAccelerat = options.gpuAcceleration,\n      gpuAcceleration = _options$gpuAccelerat === void 0 ? true : _options$gpuAccelerat,\n      _options$adaptive = options.adaptive,\n      adaptive = _options$adaptive === void 0 ? true : _options$adaptive,\n      _options$roundOffsets = options.roundOffsets,\n      roundOffsets = _options$roundOffsets === void 0 ? true : _options$roundOffsets;\n  var commonStyles = {\n    placement: getBasePlacement(state.placement),\n    variation: getVariation(state.placement),\n    popper: state.elements.popper,\n    popperRect: state.rects.popper,\n    gpuAcceleration: gpuAcceleration,\n    isFixed: state.options.strategy === 'fixed'\n  };\n\n  if (state.modifiersData.popperOffsets != null) {\n    state.styles.popper = Object.assign({}, state.styles.popper, mapToStyles(Object.assign({}, commonStyles, {\n      offsets: state.modifiersData.popperOffsets,\n      position: state.options.strategy,\n      adaptive: adaptive,\n      roundOffsets: roundOffsets\n    })));\n  }\n\n  if (state.modifiersData.arrow != null) {\n    state.styles.arrow = Object.assign({}, state.styles.arrow, mapToStyles(Object.assign({}, commonStyles, {\n      offsets: state.modifiersData.arrow,\n      position: 'absolute',\n      adaptive: false,\n      roundOffsets: roundOffsets\n    })));\n  }\n\n  state.attributes.popper = Object.assign({}, state.attributes.popper, {\n    'data-popper-placement': state.placement\n  });\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'computeStyles',\n  enabled: true,\n  phase: 'beforeWrite',\n  fn: computeStyles,\n  data: {}\n};","import getNodeName from \"../dom-utils/getNodeName.js\";\nimport { isHTMLElement } from \"../dom-utils/instanceOf.js\"; // This modifier takes the styles prepared by the `computeStyles` modifier\n// and applies them to the HTMLElements such as popper and arrow\n\nfunction applyStyles(_ref) {\n  var state = _ref.state;\n  Object.keys(state.elements).forEach(function (name) {\n    var style = state.styles[name] || {};\n    var attributes = state.attributes[name] || {};\n    var element = state.elements[name]; // arrow is optional + virtual elements\n\n    if (!isHTMLElement(element) || !getNodeName(element)) {\n      return;\n    } // Flow doesn't support to extend this property, but it's the most\n    // effective way to apply styles to an HTMLElement\n    // $FlowFixMe[cannot-write]\n\n\n    Object.assign(element.style, style);\n    Object.keys(attributes).forEach(function (name) {\n      var value = attributes[name];\n\n      if (value === false) {\n        element.removeAttribute(name);\n      } else {\n        element.setAttribute(name, value === true ? '' : value);\n      }\n    });\n  });\n}\n\nfunction effect(_ref2) {\n  var state = _ref2.state;\n  var initialStyles = {\n    popper: {\n      position: state.options.strategy,\n      left: '0',\n      top: '0',\n      margin: '0'\n    },\n    arrow: {\n      position: 'absolute'\n    },\n    reference: {}\n  };\n  Object.assign(state.elements.popper.style, initialStyles.popper);\n  state.styles = initialStyles;\n\n  if (state.elements.arrow) {\n    Object.assign(state.elements.arrow.style, initialStyles.arrow);\n  }\n\n  return function () {\n    Object.keys(state.elements).forEach(function (name) {\n      var element = state.elements[name];\n      var attributes = state.attributes[name] || {};\n      var styleProperties = Object.keys(state.styles.hasOwnProperty(name) ? state.styles[name] : initialStyles[name]); // Set all values to an empty string to unset them\n\n      var style = styleProperties.reduce(function (style, property) {\n        style[property] = '';\n        return style;\n      }, {}); // arrow is optional + virtual elements\n\n      if (!isHTMLElement(element) || !getNodeName(element)) {\n        return;\n      }\n\n      Object.assign(element.style, style);\n      Object.keys(attributes).forEach(function (attribute) {\n        element.removeAttribute(attribute);\n      });\n    });\n  };\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'applyStyles',\n  enabled: true,\n  phase: 'write',\n  fn: applyStyles,\n  effect: effect,\n  requires: ['computeStyles']\n};","import getBasePlacement from \"../utils/getBasePlacement.js\";\nimport { top, left, right, placements } from \"../enums.js\"; // eslint-disable-next-line import/no-unused-modules\n\nexport function distanceAndSkiddingToXY(placement, rects, offset) {\n  var basePlacement = getBasePlacement(placement);\n  var invertDistance = [left, top].indexOf(basePlacement) >= 0 ? -1 : 1;\n\n  var _ref = typeof offset === 'function' ? offset(Object.assign({}, rects, {\n    placement: placement\n  })) : offset,\n      skidding = _ref[0],\n      distance = _ref[1];\n\n  skidding = skidding || 0;\n  distance = (distance || 0) * invertDistance;\n  return [left, right].indexOf(basePlacement) >= 0 ? {\n    x: distance,\n    y: skidding\n  } : {\n    x: skidding,\n    y: distance\n  };\n}\n\nfunction offset(_ref2) {\n  var state = _ref2.state,\n      options = _ref2.options,\n      name = _ref2.name;\n  var _options$offset = options.offset,\n      offset = _options$offset === void 0 ? [0, 0] : _options$offset;\n  var data = placements.reduce(function (acc, placement) {\n    acc[placement] = distanceAndSkiddingToXY(placement, state.rects, offset);\n    return acc;\n  }, {});\n  var _data$state$placement = data[state.placement],\n      x = _data$state$placement.x,\n      y = _data$state$placement.y;\n\n  if (state.modifiersData.popperOffsets != null) {\n    state.modifiersData.popperOffsets.x += x;\n    state.modifiersData.popperOffsets.y += y;\n  }\n\n  state.modifiersData[name] = data;\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'offset',\n  enabled: true,\n  phase: 'main',\n  requires: ['popperOffsets'],\n  fn: offset\n};","var hash = {\n  left: 'right',\n  right: 'left',\n  bottom: 'top',\n  top: 'bottom'\n};\nexport default function getOppositePlacement(placement) {\n  return placement.replace(/left|right|bottom|top/g, function (matched) {\n    return hash[matched];\n  });\n}","var hash = {\n  start: 'end',\n  end: 'start'\n};\nexport default function getOppositeVariationPlacement(placement) {\n  return placement.replace(/start|end/g, function (matched) {\n    return hash[matched];\n  });\n}","import getWindow from \"./getWindow.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport getWindowScrollBarX from \"./getWindowScrollBarX.js\";\nimport isLayoutViewport from \"./isLayoutViewport.js\";\nexport default function getViewportRect(element, strategy) {\n  var win = getWindow(element);\n  var html = getDocumentElement(element);\n  var visualViewport = win.visualViewport;\n  var width = html.clientWidth;\n  var height = html.clientHeight;\n  var x = 0;\n  var y = 0;\n\n  if (visualViewport) {\n    width = visualViewport.width;\n    height = visualViewport.height;\n    var layoutViewport = isLayoutViewport();\n\n    if (layoutViewport || !layoutViewport && strategy === 'fixed') {\n      x = visualViewport.offsetLeft;\n      y = visualViewport.offsetTop;\n    }\n  }\n\n  return {\n    width: width,\n    height: height,\n    x: x + getWindowScrollBarX(element),\n    y: y\n  };\n}","import getDocumentElement from \"./getDocumentElement.js\";\nimport getComputedStyle from \"./getComputedStyle.js\";\nimport getWindowScrollBarX from \"./getWindowScrollBarX.js\";\nimport getWindowScroll from \"./getWindowScroll.js\";\nimport { max } from \"../utils/math.js\"; // Gets the entire size of the scrollable document area, even extending outside\n// of the `<html>` and `<body>` rect bounds if horizontally scrollable\n\nexport default function getDocumentRect(element) {\n  var _element$ownerDocumen;\n\n  var html = getDocumentElement(element);\n  var winScroll = getWindowScroll(element);\n  var body = (_element$ownerDocumen = element.ownerDocument) == null ? void 0 : _element$ownerDocumen.body;\n  var width = max(html.scrollWidth, html.clientWidth, body ? body.scrollWidth : 0, body ? body.clientWidth : 0);\n  var height = max(html.scrollHeight, html.clientHeight, body ? body.scrollHeight : 0, body ? body.clientHeight : 0);\n  var x = -winScroll.scrollLeft + getWindowScrollBarX(element);\n  var y = -winScroll.scrollTop;\n\n  if (getComputedStyle(body || html).direction === 'rtl') {\n    x += max(html.clientWidth, body ? body.clientWidth : 0) - width;\n  }\n\n  return {\n    width: width,\n    height: height,\n    x: x,\n    y: y\n  };\n}","import { isShadowRoot } from \"./instanceOf.js\";\nexport default function contains(parent, child) {\n  var rootNode = child.getRootNode && child.getRootNode(); // First, attempt with faster native method\n\n  if (parent.contains(child)) {\n    return true;\n  } // then fallback to custom implementation with Shadow DOM support\n  else if (rootNode && isShadowRoot(rootNode)) {\n      var next = child;\n\n      do {\n        if (next && parent.isSameNode(next)) {\n          return true;\n        } // $FlowFixMe[prop-missing]: need a better way to handle this...\n\n\n        next = next.parentNode || next.host;\n      } while (next);\n    } // Give up, the result is false\n\n\n  return false;\n}","export default function rectToClientRect(rect) {\n  return Object.assign({}, rect, {\n    left: rect.x,\n    top: rect.y,\n    right: rect.x + rect.width,\n    bottom: rect.y + rect.height\n  });\n}","import { viewport } from \"../enums.js\";\nimport getViewportRect from \"./getViewportRect.js\";\nimport getDocumentRect from \"./getDocumentRect.js\";\nimport listScrollParents from \"./listScrollParents.js\";\nimport getOffsetParent from \"./getOffsetParent.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport getComputedStyle from \"./getComputedStyle.js\";\nimport { isElement, isHTMLElement } from \"./instanceOf.js\";\nimport getBoundingClientRect from \"./getBoundingClientRect.js\";\nimport getParentNode from \"./getParentNode.js\";\nimport contains from \"./contains.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport rectToClientRect from \"../utils/rectToClientRect.js\";\nimport { max, min } from \"../utils/math.js\";\n\nfunction getInnerBoundingClientRect(element, strategy) {\n  var rect = getBoundingClientRect(element, false, strategy === 'fixed');\n  rect.top = rect.top + element.clientTop;\n  rect.left = rect.left + element.clientLeft;\n  rect.bottom = rect.top + element.clientHeight;\n  rect.right = rect.left + element.clientWidth;\n  rect.width = element.clientWidth;\n  rect.height = element.clientHeight;\n  rect.x = rect.left;\n  rect.y = rect.top;\n  return rect;\n}\n\nfunction getClientRectFromMixedType(element, clippingParent, strategy) {\n  return clippingParent === viewport ? rectToClientRect(getViewportRect(element, strategy)) : isElement(clippingParent) ? getInnerBoundingClientRect(clippingParent, strategy) : rectToClientRect(getDocumentRect(getDocumentElement(element)));\n} // A \"clipping parent\" is an overflowable container with the characteristic of\n// clipping (or hiding) overflowing elements with a position different from\n// `initial`\n\n\nfunction getClippingParents(element) {\n  var clippingParents = listScrollParents(getParentNode(element));\n  var canEscapeClipping = ['absolute', 'fixed'].indexOf(getComputedStyle(element).position) >= 0;\n  var clipperElement = canEscapeClipping && isHTMLElement(element) ? getOffsetParent(element) : element;\n\n  if (!isElement(clipperElement)) {\n    return [];\n  } // $FlowFixMe[incompatible-return]: https://github.com/facebook/flow/issues/1414\n\n\n  return clippingParents.filter(function (clippingParent) {\n    return isElement(clippingParent) && contains(clippingParent, clipperElement) && getNodeName(clippingParent) !== 'body';\n  });\n} // Gets the maximum area that the element is visible in due to any number of\n// clipping parents\n\n\nexport default function getClippingRect(element, boundary, rootBoundary, strategy) {\n  var mainClippingParents = boundary === 'clippingParents' ? getClippingParents(element) : [].concat(boundary);\n  var clippingParents = [].concat(mainClippingParents, [rootBoundary]);\n  var firstClippingParent = clippingParents[0];\n  var clippingRect = clippingParents.reduce(function (accRect, clippingParent) {\n    var rect = getClientRectFromMixedType(element, clippingParent, strategy);\n    accRect.top = max(rect.top, accRect.top);\n    accRect.right = min(rect.right, accRect.right);\n    accRect.bottom = min(rect.bottom, accRect.bottom);\n    accRect.left = max(rect.left, accRect.left);\n    return accRect;\n  }, getClientRectFromMixedType(element, firstClippingParent, strategy));\n  clippingRect.width = clippingRect.right - clippingRect.left;\n  clippingRect.height = clippingRect.bottom - clippingRect.top;\n  clippingRect.x = clippingRect.left;\n  clippingRect.y = clippingRect.top;\n  return clippingRect;\n}","export default function getFreshSideObject() {\n  return {\n    top: 0,\n    right: 0,\n    bottom: 0,\n    left: 0\n  };\n}","import getFreshSideObject from \"./getFreshSideObject.js\";\nexport default function mergePaddingObject(paddingObject) {\n  return Object.assign({}, getFreshSideObject(), paddingObject);\n}","export default function expandToHashMap(value, keys) {\n  return keys.reduce(function (hashMap, key) {\n    hashMap[key] = value;\n    return hashMap;\n  }, {});\n}","import getClippingRect from \"../dom-utils/getClippingRect.js\";\nimport getDocumentElement from \"../dom-utils/getDocumentElement.js\";\nimport getBoundingClientRect from \"../dom-utils/getBoundingClientRect.js\";\nimport computeOffsets from \"./computeOffsets.js\";\nimport rectToClientRect from \"./rectToClientRect.js\";\nimport { clippingParents, reference, popper, bottom, top, right, basePlacements, viewport } from \"../enums.js\";\nimport { isElement } from \"../dom-utils/instanceOf.js\";\nimport mergePaddingObject from \"./mergePaddingObject.js\";\nimport expandToHashMap from \"./expandToHashMap.js\"; // eslint-disable-next-line import/no-unused-modules\n\nexport default function detectOverflow(state, options) {\n  if (options === void 0) {\n    options = {};\n  }\n\n  var _options = options,\n      _options$placement = _options.placement,\n      placement = _options$placement === void 0 ? state.placement : _options$placement,\n      _options$strategy = _options.strategy,\n      strategy = _options$strategy === void 0 ? state.strategy : _options$strategy,\n      _options$boundary = _options.boundary,\n      boundary = _options$boundary === void 0 ? clippingParents : _options$boundary,\n      _options$rootBoundary = _options.rootBoundary,\n      rootBoundary = _options$rootBoundary === void 0 ? viewport : _options$rootBoundary,\n      _options$elementConte = _options.elementContext,\n      elementContext = _options$elementConte === void 0 ? popper : _options$elementConte,\n      _options$altBoundary = _options.altBoundary,\n      altBoundary = _options$altBoundary === void 0 ? false : _options$altBoundary,\n      _options$padding = _options.padding,\n      padding = _options$padding === void 0 ? 0 : _options$padding;\n  var paddingObject = mergePaddingObject(typeof padding !== 'number' ? padding : expandToHashMap(padding, basePlacements));\n  var altContext = elementContext === popper ? reference : popper;\n  var popperRect = state.rects.popper;\n  var element = state.elements[altBoundary ? altContext : elementContext];\n  var clippingClientRect = getClippingRect(isElement(element) ? element : element.contextElement || getDocumentElement(state.elements.popper), boundary, rootBoundary, strategy);\n  var referenceClientRect = getBoundingClientRect(state.elements.reference);\n  var popperOffsets = computeOffsets({\n    reference: referenceClientRect,\n    element: popperRect,\n    strategy: 'absolute',\n    placement: placement\n  });\n  var popperClientRect = rectToClientRect(Object.assign({}, popperRect, popperOffsets));\n  var elementClientRect = elementContext === popper ? popperClientRect : referenceClientRect; // positive = overflowing the clipping rect\n  // 0 or negative = within the clipping rect\n\n  var overflowOffsets = {\n    top: clippingClientRect.top - elementClientRect.top + paddingObject.top,\n    bottom: elementClientRect.bottom - clippingClientRect.bottom + paddingObject.bottom,\n    left: clippingClientRect.left - elementClientRect.left + paddingObject.left,\n    right: elementClientRect.right - clippingClientRect.right + paddingObject.right\n  };\n  var offsetData = state.modifiersData.offset; // Offsets can be applied only to the popper element\n\n  if (elementContext === popper && offsetData) {\n    var offset = offsetData[placement];\n    Object.keys(overflowOffsets).forEach(function (key) {\n      var multiply = [right, bottom].indexOf(key) >= 0 ? 1 : -1;\n      var axis = [top, bottom].indexOf(key) >= 0 ? 'y' : 'x';\n      overflowOffsets[key] += offset[axis] * multiply;\n    });\n  }\n\n  return overflowOffsets;\n}","import getVariation from \"./getVariation.js\";\nimport { variationPlacements, basePlacements, placements as allPlacements } from \"../enums.js\";\nimport detectOverflow from \"./detectOverflow.js\";\nimport getBasePlacement from \"./getBasePlacement.js\";\nexport default function computeAutoPlacement(state, options) {\n  if (options === void 0) {\n    options = {};\n  }\n\n  var _options = options,\n      placement = _options.placement,\n      boundary = _options.boundary,\n      rootBoundary = _options.rootBoundary,\n      padding = _options.padding,\n      flipVariations = _options.flipVariations,\n      _options$allowedAutoP = _options.allowedAutoPlacements,\n      allowedAutoPlacements = _options$allowedAutoP === void 0 ? allPlacements : _options$allowedAutoP;\n  var variation = getVariation(placement);\n  var placements = variation ? flipVariations ? variationPlacements : variationPlacements.filter(function (placement) {\n    return getVariation(placement) === variation;\n  }) : basePlacements;\n  var allowedPlacements = placements.filter(function (placement) {\n    return allowedAutoPlacements.indexOf(placement) >= 0;\n  });\n\n  if (allowedPlacements.length === 0) {\n    allowedPlacements = placements;\n  } // $FlowFixMe[incompatible-type]: Flow seems to have problems with two array unions...\n\n\n  var overflows = allowedPlacements.reduce(function (acc, placement) {\n    acc[placement] = detectOverflow(state, {\n      placement: placement,\n      boundary: boundary,\n      rootBoundary: rootBoundary,\n      padding: padding\n    })[getBasePlacement(placement)];\n    return acc;\n  }, {});\n  return Object.keys(overflows).sort(function (a, b) {\n    return overflows[a] - overflows[b];\n  });\n}","import getOppositePlacement from \"../utils/getOppositePlacement.js\";\nimport getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getOppositeVariationPlacement from \"../utils/getOppositeVariationPlacement.js\";\nimport detectOverflow from \"../utils/detectOverflow.js\";\nimport computeAutoPlacement from \"../utils/computeAutoPlacement.js\";\nimport { bottom, top, start, right, left, auto } from \"../enums.js\";\nimport getVariation from \"../utils/getVariation.js\"; // eslint-disable-next-line import/no-unused-modules\n\nfunction getExpandedFallbackPlacements(placement) {\n  if (getBasePlacement(placement) === auto) {\n    return [];\n  }\n\n  var oppositePlacement = getOppositePlacement(placement);\n  return [getOppositeVariationPlacement(placement), oppositePlacement, getOppositeVariationPlacement(oppositePlacement)];\n}\n\nfunction flip(_ref) {\n  var state = _ref.state,\n      options = _ref.options,\n      name = _ref.name;\n\n  if (state.modifiersData[name]._skip) {\n    return;\n  }\n\n  var _options$mainAxis = options.mainAxis,\n      checkMainAxis = _options$mainAxis === void 0 ? true : _options$mainAxis,\n      _options$altAxis = options.altAxis,\n      checkAltAxis = _options$altAxis === void 0 ? true : _options$altAxis,\n      specifiedFallbackPlacements = options.fallbackPlacements,\n      padding = options.padding,\n      boundary = options.boundary,\n      rootBoundary = options.rootBoundary,\n      altBoundary = options.altBoundary,\n      _options$flipVariatio = options.flipVariations,\n      flipVariations = _options$flipVariatio === void 0 ? true : _options$flipVariatio,\n      allowedAutoPlacements = options.allowedAutoPlacements;\n  var preferredPlacement = state.options.placement;\n  var basePlacement = getBasePlacement(preferredPlacement);\n  var isBasePlacement = basePlacement === preferredPlacement;\n  var fallbackPlacements = specifiedFallbackPlacements || (isBasePlacement || !flipVariations ? [getOppositePlacement(preferredPlacement)] : getExpandedFallbackPlacements(preferredPlacement));\n  var placements = [preferredPlacement].concat(fallbackPlacements).reduce(function (acc, placement) {\n    return acc.concat(getBasePlacement(placement) === auto ? computeAutoPlacement(state, {\n      placement: placement,\n      boundary: boundary,\n      rootBoundary: rootBoundary,\n      padding: padding,\n      flipVariations: flipVariations,\n      allowedAutoPlacements: allowedAutoPlacements\n    }) : placement);\n  }, []);\n  var referenceRect = state.rects.reference;\n  var popperRect = state.rects.popper;\n  var checksMap = new Map();\n  var makeFallbackChecks = true;\n  var firstFittingPlacement = placements[0];\n\n  for (var i = 0; i < placements.length; i++) {\n    var placement = placements[i];\n\n    var _basePlacement = getBasePlacement(placement);\n\n    var isStartVariation = getVariation(placement) === start;\n    var isVertical = [top, bottom].indexOf(_basePlacement) >= 0;\n    var len = isVertical ? 'width' : 'height';\n    var overflow = detectOverflow(state, {\n      placement: placement,\n      boundary: boundary,\n      rootBoundary: rootBoundary,\n      altBoundary: altBoundary,\n      padding: padding\n    });\n    var mainVariationSide = isVertical ? isStartVariation ? right : left : isStartVariation ? bottom : top;\n\n    if (referenceRect[len] > popperRect[len]) {\n      mainVariationSide = getOppositePlacement(mainVariationSide);\n    }\n\n    var altVariationSide = getOppositePlacement(mainVariationSide);\n    var checks = [];\n\n    if (checkMainAxis) {\n      checks.push(overflow[_basePlacement] <= 0);\n    }\n\n    if (checkAltAxis) {\n      checks.push(overflow[mainVariationSide] <= 0, overflow[altVariationSide] <= 0);\n    }\n\n    if (checks.every(function (check) {\n      return check;\n    })) {\n      firstFittingPlacement = placement;\n      makeFallbackChecks = false;\n      break;\n    }\n\n    checksMap.set(placement, checks);\n  }\n\n  if (makeFallbackChecks) {\n    // `2` may be desired in some cases – research later\n    var numberOfChecks = flipVariations ? 3 : 1;\n\n    var _loop = function _loop(_i) {\n      var fittingPlacement = placements.find(function (placement) {\n        var checks = checksMap.get(placement);\n\n        if (checks) {\n          return checks.slice(0, _i).every(function (check) {\n            return check;\n          });\n        }\n      });\n\n      if (fittingPlacement) {\n        firstFittingPlacement = fittingPlacement;\n        return \"break\";\n      }\n    };\n\n    for (var _i = numberOfChecks; _i > 0; _i--) {\n      var _ret = _loop(_i);\n\n      if (_ret === \"break\") break;\n    }\n  }\n\n  if (state.placement !== firstFittingPlacement) {\n    state.modifiersData[name]._skip = true;\n    state.placement = firstFittingPlacement;\n    state.reset = true;\n  }\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'flip',\n  enabled: true,\n  phase: 'main',\n  fn: flip,\n  requiresIfExists: ['offset'],\n  data: {\n    _skip: false\n  }\n};","export default function getAltAxis(axis) {\n  return axis === 'x' ? 'y' : 'x';\n}","import { max as mathMax, min as mathMin } from \"./math.js\";\nexport function within(min, value, max) {\n  return mathMax(min, mathMin(value, max));\n}\nexport function withinMaxClamp(min, value, max) {\n  var v = within(min, value, max);\n  return v > max ? max : v;\n}","import { top, left, right, bottom, start } from \"../enums.js\";\nimport getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getMainAxisFromPlacement from \"../utils/getMainAxisFromPlacement.js\";\nimport getAltAxis from \"../utils/getAltAxis.js\";\nimport { within, withinMaxClamp } from \"../utils/within.js\";\nimport getLayoutRect from \"../dom-utils/getLayoutRect.js\";\nimport getOffsetParent from \"../dom-utils/getOffsetParent.js\";\nimport detectOverflow from \"../utils/detectOverflow.js\";\nimport getVariation from \"../utils/getVariation.js\";\nimport getFreshSideObject from \"../utils/getFreshSideObject.js\";\nimport { min as mathMin, max as mathMax } from \"../utils/math.js\";\n\nfunction preventOverflow(_ref) {\n  var state = _ref.state,\n      options = _ref.options,\n      name = _ref.name;\n  var _options$mainAxis = options.mainAxis,\n      checkMainAxis = _options$mainAxis === void 0 ? true : _options$mainAxis,\n      _options$altAxis = options.altAxis,\n      checkAltAxis = _options$altAxis === void 0 ? false : _options$altAxis,\n      boundary = options.boundary,\n      rootBoundary = options.rootBoundary,\n      altBoundary = options.altBoundary,\n      padding = options.padding,\n      _options$tether = options.tether,\n      tether = _options$tether === void 0 ? true : _options$tether,\n      _options$tetherOffset = options.tetherOffset,\n      tetherOffset = _options$tetherOffset === void 0 ? 0 : _options$tetherOffset;\n  var overflow = detectOverflow(state, {\n    boundary: boundary,\n    rootBoundary: rootBoundary,\n    padding: padding,\n    altBoundary: altBoundary\n  });\n  var basePlacement = getBasePlacement(state.placement);\n  var variation = getVariation(state.placement);\n  var isBasePlacement = !variation;\n  var mainAxis = getMainAxisFromPlacement(basePlacement);\n  var altAxis = getAltAxis(mainAxis);\n  var popperOffsets = state.modifiersData.popperOffsets;\n  var referenceRect = state.rects.reference;\n  var popperRect = state.rects.popper;\n  var tetherOffsetValue = typeof tetherOffset === 'function' ? tetherOffset(Object.assign({}, state.rects, {\n    placement: state.placement\n  })) : tetherOffset;\n  var normalizedTetherOffsetValue = typeof tetherOffsetValue === 'number' ? {\n    mainAxis: tetherOffsetValue,\n    altAxis: tetherOffsetValue\n  } : Object.assign({\n    mainAxis: 0,\n    altAxis: 0\n  }, tetherOffsetValue);\n  var offsetModifierState = state.modifiersData.offset ? state.modifiersData.offset[state.placement] : null;\n  var data = {\n    x: 0,\n    y: 0\n  };\n\n  if (!popperOffsets) {\n    return;\n  }\n\n  if (checkMainAxis) {\n    var _offsetModifierState$;\n\n    var mainSide = mainAxis === 'y' ? top : left;\n    var altSide = mainAxis === 'y' ? bottom : right;\n    var len = mainAxis === 'y' ? 'height' : 'width';\n    var offset = popperOffsets[mainAxis];\n    var min = offset + overflow[mainSide];\n    var max = offset - overflow[altSide];\n    var additive = tether ? -popperRect[len] / 2 : 0;\n    var minLen = variation === start ? referenceRect[len] : popperRect[len];\n    var maxLen = variation === start ? -popperRect[len] : -referenceRect[len]; // We need to include the arrow in the calculation so the arrow doesn't go\n    // outside the reference bounds\n\n    var arrowElement = state.elements.arrow;\n    var arrowRect = tether && arrowElement ? getLayoutRect(arrowElement) : {\n      width: 0,\n      height: 0\n    };\n    var arrowPaddingObject = state.modifiersData['arrow#persistent'] ? state.modifiersData['arrow#persistent'].padding : getFreshSideObject();\n    var arrowPaddingMin = arrowPaddingObject[mainSide];\n    var arrowPaddingMax = arrowPaddingObject[altSide]; // If the reference length is smaller than the arrow length, we don't want\n    // to include its full size in the calculation. If the reference is small\n    // and near the edge of a boundary, the popper can overflow even if the\n    // reference is not overflowing as well (e.g. virtual elements with no\n    // width or height)\n\n    var arrowLen = within(0, referenceRect[len], arrowRect[len]);\n    var minOffset = isBasePlacement ? referenceRect[len] / 2 - additive - arrowLen - arrowPaddingMin - normalizedTetherOffsetValue.mainAxis : minLen - arrowLen - arrowPaddingMin - normalizedTetherOffsetValue.mainAxis;\n    var maxOffset = isBasePlacement ? -referenceRect[len] / 2 + additive + arrowLen + arrowPaddingMax + normalizedTetherOffsetValue.mainAxis : maxLen + arrowLen + arrowPaddingMax + normalizedTetherOffsetValue.mainAxis;\n    var arrowOffsetParent = state.elements.arrow && getOffsetParent(state.elements.arrow);\n    var clientOffset = arrowOffsetParent ? mainAxis === 'y' ? arrowOffsetParent.clientTop || 0 : arrowOffsetParent.clientLeft || 0 : 0;\n    var offsetModifierValue = (_offsetModifierState$ = offsetModifierState == null ? void 0 : offsetModifierState[mainAxis]) != null ? _offsetModifierState$ : 0;\n    var tetherMin = offset + minOffset - offsetModifierValue - clientOffset;\n    var tetherMax = offset + maxOffset - offsetModifierValue;\n    var preventedOffset = within(tether ? mathMin(min, tetherMin) : min, offset, tether ? mathMax(max, tetherMax) : max);\n    popperOffsets[mainAxis] = preventedOffset;\n    data[mainAxis] = preventedOffset - offset;\n  }\n\n  if (checkAltAxis) {\n    var _offsetModifierState$2;\n\n    var _mainSide = mainAxis === 'x' ? top : left;\n\n    var _altSide = mainAxis === 'x' ? bottom : right;\n\n    var _offset = popperOffsets[altAxis];\n\n    var _len = altAxis === 'y' ? 'height' : 'width';\n\n    var _min = _offset + overflow[_mainSide];\n\n    var _max = _offset - overflow[_altSide];\n\n    var isOriginSide = [top, left].indexOf(basePlacement) !== -1;\n\n    var _offsetModifierValue = (_offsetModifierState$2 = offsetModifierState == null ? void 0 : offsetModifierState[altAxis]) != null ? _offsetModifierState$2 : 0;\n\n    var _tetherMin = isOriginSide ? _min : _offset - referenceRect[_len] - popperRect[_len] - _offsetModifierValue + normalizedTetherOffsetValue.altAxis;\n\n    var _tetherMax = isOriginSide ? _offset + referenceRect[_len] + popperRect[_len] - _offsetModifierValue - normalizedTetherOffsetValue.altAxis : _max;\n\n    var _preventedOffset = tether && isOriginSide ? withinMaxClamp(_tetherMin, _offset, _tetherMax) : within(tether ? _tetherMin : _min, _offset, tether ? _tetherMax : _max);\n\n    popperOffsets[altAxis] = _preventedOffset;\n    data[altAxis] = _preventedOffset - _offset;\n  }\n\n  state.modifiersData[name] = data;\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'preventOverflow',\n  enabled: true,\n  phase: 'main',\n  fn: preventOverflow,\n  requiresIfExists: ['offset']\n};","import getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getLayoutRect from \"../dom-utils/getLayoutRect.js\";\nimport contains from \"../dom-utils/contains.js\";\nimport getOffsetParent from \"../dom-utils/getOffsetParent.js\";\nimport getMainAxisFromPlacement from \"../utils/getMainAxisFromPlacement.js\";\nimport { within } from \"../utils/within.js\";\nimport mergePaddingObject from \"../utils/mergePaddingObject.js\";\nimport expandToHashMap from \"../utils/expandToHashMap.js\";\nimport { left, right, basePlacements, top, bottom } from \"../enums.js\"; // eslint-disable-next-line import/no-unused-modules\n\nvar toPaddingObject = function toPaddingObject(padding, state) {\n  padding = typeof padding === 'function' ? padding(Object.assign({}, state.rects, {\n    placement: state.placement\n  })) : padding;\n  return mergePaddingObject(typeof padding !== 'number' ? padding : expandToHashMap(padding, basePlacements));\n};\n\nfunction arrow(_ref) {\n  var _state$modifiersData$;\n\n  var state = _ref.state,\n      name = _ref.name,\n      options = _ref.options;\n  var arrowElement = state.elements.arrow;\n  var popperOffsets = state.modifiersData.popperOffsets;\n  var basePlacement = getBasePlacement(state.placement);\n  var axis = getMainAxisFromPlacement(basePlacement);\n  var isVertical = [left, right].indexOf(basePlacement) >= 0;\n  var len = isVertical ? 'height' : 'width';\n\n  if (!arrowElement || !popperOffsets) {\n    return;\n  }\n\n  var paddingObject = toPaddingObject(options.padding, state);\n  var arrowRect = getLayoutRect(arrowElement);\n  var minProp = axis === 'y' ? top : left;\n  var maxProp = axis === 'y' ? bottom : right;\n  var endDiff = state.rects.reference[len] + state.rects.reference[axis] - popperOffsets[axis] - state.rects.popper[len];\n  var startDiff = popperOffsets[axis] - state.rects.reference[axis];\n  var arrowOffsetParent = getOffsetParent(arrowElement);\n  var clientSize = arrowOffsetParent ? axis === 'y' ? arrowOffsetParent.clientHeight || 0 : arrowOffsetParent.clientWidth || 0 : 0;\n  var centerToReference = endDiff / 2 - startDiff / 2; // Make sure the arrow doesn't overflow the popper if the center point is\n  // outside of the popper bounds\n\n  var min = paddingObject[minProp];\n  var max = clientSize - arrowRect[len] - paddingObject[maxProp];\n  var center = clientSize / 2 - arrowRect[len] / 2 + centerToReference;\n  var offset = within(min, center, max); // Prevents breaking syntax highlighting...\n\n  var axisProp = axis;\n  state.modifiersData[name] = (_state$modifiersData$ = {}, _state$modifiersData$[axisProp] = offset, _state$modifiersData$.centerOffset = offset - center, _state$modifiersData$);\n}\n\nfunction effect(_ref2) {\n  var state = _ref2.state,\n      options = _ref2.options;\n  var _options$element = options.element,\n      arrowElement = _options$element === void 0 ? '[data-popper-arrow]' : _options$element;\n\n  if (arrowElement == null) {\n    return;\n  } // CSS selector\n\n\n  if (typeof arrowElement === 'string') {\n    arrowElement = state.elements.popper.querySelector(arrowElement);\n\n    if (!arrowElement) {\n      return;\n    }\n  }\n\n  if (!contains(state.elements.popper, arrowElement)) {\n    return;\n  }\n\n  state.elements.arrow = arrowElement;\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'arrow',\n  enabled: true,\n  phase: 'main',\n  fn: arrow,\n  effect: effect,\n  requires: ['popperOffsets'],\n  requiresIfExists: ['preventOverflow']\n};","import { top, bottom, left, right } from \"../enums.js\";\nimport detectOverflow from \"../utils/detectOverflow.js\";\n\nfunction getSideOffsets(overflow, rect, preventedOffsets) {\n  if (preventedOffsets === void 0) {\n    preventedOffsets = {\n      x: 0,\n      y: 0\n    };\n  }\n\n  return {\n    top: overflow.top - rect.height - preventedOffsets.y,\n    right: overflow.right - rect.width + preventedOffsets.x,\n    bottom: overflow.bottom - rect.height + preventedOffsets.y,\n    left: overflow.left - rect.width - preventedOffsets.x\n  };\n}\n\nfunction isAnySideFullyClipped(overflow) {\n  return [top, right, bottom, left].some(function (side) {\n    return overflow[side] >= 0;\n  });\n}\n\nfunction hide(_ref) {\n  var state = _ref.state,\n      name = _ref.name;\n  var referenceRect = state.rects.reference;\n  var popperRect = state.rects.popper;\n  var preventedOffsets = state.modifiersData.preventOverflow;\n  var referenceOverflow = detectOverflow(state, {\n    elementContext: 'reference'\n  });\n  var popperAltOverflow = detectOverflow(state, {\n    altBoundary: true\n  });\n  var referenceClippingOffsets = getSideOffsets(referenceOverflow, referenceRect);\n  var popperEscapeOffsets = getSideOffsets(popperAltOverflow, popperRect, preventedOffsets);\n  var isReferenceHidden = isAnySideFullyClipped(referenceClippingOffsets);\n  var hasPopperEscaped = isAnySideFullyClipped(popperEscapeOffsets);\n  state.modifiersData[name] = {\n    referenceClippingOffsets: referenceClippingOffsets,\n    popperEscapeOffsets: popperEscapeOffsets,\n    isReferenceHidden: isReferenceHidden,\n    hasPopperEscaped: hasPopperEscaped\n  };\n  state.attributes.popper = Object.assign({}, state.attributes.popper, {\n    'data-popper-reference-hidden': isReferenceHidden,\n    'data-popper-escaped': hasPopperEscaped\n  });\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'hide',\n  enabled: true,\n  phase: 'main',\n  requiresIfExists: ['preventOverflow'],\n  fn: hide\n};","import { popperGenerator, detectOverflow } from \"./createPopper.js\";\nimport eventListeners from \"./modifiers/eventListeners.js\";\nimport popperOffsets from \"./modifiers/popperOffsets.js\";\nimport computeStyles from \"./modifiers/computeStyles.js\";\nimport applyStyles from \"./modifiers/applyStyles.js\";\nimport offset from \"./modifiers/offset.js\";\nimport flip from \"./modifiers/flip.js\";\nimport preventOverflow from \"./modifiers/preventOverflow.js\";\nimport arrow from \"./modifiers/arrow.js\";\nimport hide from \"./modifiers/hide.js\";\nvar defaultModifiers = [eventListeners, popperOffsets, computeStyles, applyStyles, offset, flip, preventOverflow, arrow, hide];\nvar createPopper = /*#__PURE__*/popperGenerator({\n  defaultModifiers: defaultModifiers\n}); // eslint-disable-next-line import/no-unused-modules\n\nexport { createPopper, popperGenerator, defaultModifiers, detectOverflow }; // eslint-disable-next-line import/no-unused-modules\n\nexport { createPopper as createPopperLite } from \"./popper-lite.js\"; // eslint-disable-next-line import/no-unused-modules\n\nexport * from \"./modifiers/index.js\";","/**!\n* tippy.js v6.3.7\n* (c) 2017-2021 atomiks\n* MIT License\n*/\nimport { createPopper, applyStyles } from '@popperjs/core';\n\nvar ROUND_ARROW = '<svg width=\"16\" height=\"6\" xmlns=\"http://www.w3.org/2000/svg\"><path d=\"M0 6s1.796-.013 4.67-3.615C5.851.9 6.93.006 8 0c1.07-.006 2.148.887 3.343 2.385C14.233 6.005 16 6 16 6H0z\"></svg>';\nvar BOX_CLASS = \"tippy-box\";\nvar CONTENT_CLASS = \"tippy-content\";\nvar BACKDROP_CLASS = \"tippy-backdrop\";\nvar ARROW_CLASS = \"tippy-arrow\";\nvar SVG_ARROW_CLASS = \"tippy-svg-arrow\";\nvar TOUCH_OPTIONS = {\n  passive: true,\n  capture: true\n};\nvar TIPPY_DEFAULT_APPEND_TO = function TIPPY_DEFAULT_APPEND_TO() {\n  return document.body;\n};\n\nfunction hasOwnProperty(obj, key) {\n  return {}.hasOwnProperty.call(obj, key);\n}\nfunction getValueAtIndexOrReturn(value, index, defaultValue) {\n  if (Array.isArray(value)) {\n    var v = value[index];\n    return v == null ? Array.isArray(defaultValue) ? defaultValue[index] : defaultValue : v;\n  }\n\n  return value;\n}\nfunction isType(value, type) {\n  var str = {}.toString.call(value);\n  return str.indexOf('[object') === 0 && str.indexOf(type + \"]\") > -1;\n}\nfunction invokeWithArgsOrReturn(value, args) {\n  return typeof value === 'function' ? value.apply(void 0, args) : value;\n}\nfunction debounce(fn, ms) {\n  // Avoid wrapping in `setTimeout` if ms is 0 anyway\n  if (ms === 0) {\n    return fn;\n  }\n\n  var timeout;\n  return function (arg) {\n    clearTimeout(timeout);\n    timeout = setTimeout(function () {\n      fn(arg);\n    }, ms);\n  };\n}\nfunction removeProperties(obj, keys) {\n  var clone = Object.assign({}, obj);\n  keys.forEach(function (key) {\n    delete clone[key];\n  });\n  return clone;\n}\nfunction splitBySpaces(value) {\n  return value.split(/\\s+/).filter(Boolean);\n}\nfunction normalizeToArray(value) {\n  return [].concat(value);\n}\nfunction pushIfUnique(arr, value) {\n  if (arr.indexOf(value) === -1) {\n    arr.push(value);\n  }\n}\nfunction unique(arr) {\n  return arr.filter(function (item, index) {\n    return arr.indexOf(item) === index;\n  });\n}\nfunction getBasePlacement(placement) {\n  return placement.split('-')[0];\n}\nfunction arrayFrom(value) {\n  return [].slice.call(value);\n}\nfunction removeUndefinedProps(obj) {\n  return Object.keys(obj).reduce(function (acc, key) {\n    if (obj[key] !== undefined) {\n      acc[key] = obj[key];\n    }\n\n    return acc;\n  }, {});\n}\n\nfunction div() {\n  return document.createElement('div');\n}\nfunction isElement(value) {\n  return ['Element', 'Fragment'].some(function (type) {\n    return isType(value, type);\n  });\n}\nfunction isNodeList(value) {\n  return isType(value, 'NodeList');\n}\nfunction isMouseEvent(value) {\n  return isType(value, 'MouseEvent');\n}\nfunction isReferenceElement(value) {\n  return !!(value && value._tippy && value._tippy.reference === value);\n}\nfunction getArrayOfElements(value) {\n  if (isElement(value)) {\n    return [value];\n  }\n\n  if (isNodeList(value)) {\n    return arrayFrom(value);\n  }\n\n  if (Array.isArray(value)) {\n    return value;\n  }\n\n  return arrayFrom(document.querySelectorAll(value));\n}\nfunction setTransitionDuration(els, value) {\n  els.forEach(function (el) {\n    if (el) {\n      el.style.transitionDuration = value + \"ms\";\n    }\n  });\n}\nfunction setVisibilityState(els, state) {\n  els.forEach(function (el) {\n    if (el) {\n      el.setAttribute('data-state', state);\n    }\n  });\n}\nfunction getOwnerDocument(elementOrElements) {\n  var _element$ownerDocumen;\n\n  var _normalizeToArray = normalizeToArray(elementOrElements),\n      element = _normalizeToArray[0]; // Elements created via a <template> have an ownerDocument with no reference to the body\n\n\n  return element != null && (_element$ownerDocumen = element.ownerDocument) != null && _element$ownerDocumen.body ? element.ownerDocument : document;\n}\nfunction isCursorOutsideInteractiveBorder(popperTreeData, event) {\n  var clientX = event.clientX,\n      clientY = event.clientY;\n  return popperTreeData.every(function (_ref) {\n    var popperRect = _ref.popperRect,\n        popperState = _ref.popperState,\n        props = _ref.props;\n    var interactiveBorder = props.interactiveBorder;\n    var basePlacement = getBasePlacement(popperState.placement);\n    var offsetData = popperState.modifiersData.offset;\n\n    if (!offsetData) {\n      return true;\n    }\n\n    var topDistance = basePlacement === 'bottom' ? offsetData.top.y : 0;\n    var bottomDistance = basePlacement === 'top' ? offsetData.bottom.y : 0;\n    var leftDistance = basePlacement === 'right' ? offsetData.left.x : 0;\n    var rightDistance = basePlacement === 'left' ? offsetData.right.x : 0;\n    var exceedsTop = popperRect.top - clientY + topDistance > interactiveBorder;\n    var exceedsBottom = clientY - popperRect.bottom - bottomDistance > interactiveBorder;\n    var exceedsLeft = popperRect.left - clientX + leftDistance > interactiveBorder;\n    var exceedsRight = clientX - popperRect.right - rightDistance > interactiveBorder;\n    return exceedsTop || exceedsBottom || exceedsLeft || exceedsRight;\n  });\n}\nfunction updateTransitionEndListener(box, action, listener) {\n  var method = action + \"EventListener\"; // some browsers apparently support `transition` (unprefixed) but only fire\n  // `webkitTransitionEnd`...\n\n  ['transitionend', 'webkitTransitionEnd'].forEach(function (event) {\n    box[method](event, listener);\n  });\n}\n/**\n * Compared to xxx.contains, this function works for dom structures with shadow\n * dom\n */\n\nfunction actualContains(parent, child) {\n  var target = child;\n\n  while (target) {\n    var _target$getRootNode;\n\n    if (parent.contains(target)) {\n      return true;\n    }\n\n    target = target.getRootNode == null ? void 0 : (_target$getRootNode = target.getRootNode()) == null ? void 0 : _target$getRootNode.host;\n  }\n\n  return false;\n}\n\nvar currentInput = {\n  isTouch: false\n};\nvar lastMouseMoveTime = 0;\n/**\n * When a `touchstart` event is fired, it's assumed the user is using touch\n * input. We'll bind a `mousemove` event listener to listen for mouse input in\n * the future. This way, the `isTouch` property is fully dynamic and will handle\n * hybrid devices that use a mix of touch + mouse input.\n */\n\nfunction onDocumentTouchStart() {\n  if (currentInput.isTouch) {\n    return;\n  }\n\n  currentInput.isTouch = true;\n\n  if (window.performance) {\n    document.addEventListener('mousemove', onDocumentMouseMove);\n  }\n}\n/**\n * When two `mousemove` event are fired consecutively within 20ms, it's assumed\n * the user is using mouse input again. `mousemove` can fire on touch devices as\n * well, but very rarely that quickly.\n */\n\nfunction onDocumentMouseMove() {\n  var now = performance.now();\n\n  if (now - lastMouseMoveTime < 20) {\n    currentInput.isTouch = false;\n    document.removeEventListener('mousemove', onDocumentMouseMove);\n  }\n\n  lastMouseMoveTime = now;\n}\n/**\n * When an element is in focus and has a tippy, leaving the tab/window and\n * returning causes it to show again. For mouse users this is unexpected, but\n * for keyboard use it makes sense.\n * TODO: find a better technique to solve this problem\n */\n\nfunction onWindowBlur() {\n  var activeElement = document.activeElement;\n\n  if (isReferenceElement(activeElement)) {\n    var instance = activeElement._tippy;\n\n    if (activeElement.blur && !instance.state.isVisible) {\n      activeElement.blur();\n    }\n  }\n}\nfunction bindGlobalEventListeners() {\n  document.addEventListener('touchstart', onDocumentTouchStart, TOUCH_OPTIONS);\n  window.addEventListener('blur', onWindowBlur);\n}\n\nvar isBrowser = typeof window !== 'undefined' && typeof document !== 'undefined';\nvar isIE11 = isBrowser ? // @ts-ignore\n!!window.msCrypto : false;\n\nfunction createMemoryLeakWarning(method) {\n  var txt = method === 'destroy' ? 'n already-' : ' ';\n  return [method + \"() was called on a\" + txt + \"destroyed instance. This is a no-op but\", 'indicates a potential memory leak.'].join(' ');\n}\nfunction clean(value) {\n  var spacesAndTabs = /[ \\t]{2,}/g;\n  var lineStartWithSpaces = /^[ \\t]*/gm;\n  return value.replace(spacesAndTabs, ' ').replace(lineStartWithSpaces, '').trim();\n}\n\nfunction getDevMessage(message) {\n  return clean(\"\\n  %ctippy.js\\n\\n  %c\" + clean(message) + \"\\n\\n  %c\\uD83D\\uDC77\\u200D This is a development-only message. It will be removed in production.\\n  \");\n}\n\nfunction getFormattedMessage(message) {\n  return [getDevMessage(message), // title\n  'color: #00C584; font-size: 1.3em; font-weight: bold;', // message\n  'line-height: 1.5', // footer\n  'color: #a6a095;'];\n} // Assume warnings and errors never have the same message\n\nvar visitedMessages;\n\nif (process.env.NODE_ENV !== \"production\") {\n  resetVisitedMessages();\n}\n\nfunction resetVisitedMessages() {\n  visitedMessages = new Set();\n}\nfunction warnWhen(condition, message) {\n  if (condition && !visitedMessages.has(message)) {\n    var _console;\n\n    visitedMessages.add(message);\n\n    (_console = console).warn.apply(_console, getFormattedMessage(message));\n  }\n}\nfunction errorWhen(condition, message) {\n  if (condition && !visitedMessages.has(message)) {\n    var _console2;\n\n    visitedMessages.add(message);\n\n    (_console2 = console).error.apply(_console2, getFormattedMessage(message));\n  }\n}\nfunction validateTargets(targets) {\n  var didPassFalsyValue = !targets;\n  var didPassPlainObject = Object.prototype.toString.call(targets) === '[object Object]' && !targets.addEventListener;\n  errorWhen(didPassFalsyValue, ['tippy() was passed', '`' + String(targets) + '`', 'as its targets (first) argument. Valid types are: String, Element,', 'Element[], or NodeList.'].join(' '));\n  errorWhen(didPassPlainObject, ['tippy() was passed a plain object which is not supported as an argument', 'for virtual positioning. Use props.getReferenceClientRect instead.'].join(' '));\n}\n\nvar pluginProps = {\n  animateFill: false,\n  followCursor: false,\n  inlinePositioning: false,\n  sticky: false\n};\nvar renderProps = {\n  allowHTML: false,\n  animation: 'fade',\n  arrow: true,\n  content: '',\n  inertia: false,\n  maxWidth: 350,\n  role: 'tooltip',\n  theme: '',\n  zIndex: 9999\n};\nvar defaultProps = Object.assign({\n  appendTo: TIPPY_DEFAULT_APPEND_TO,\n  aria: {\n    content: 'auto',\n    expanded: 'auto'\n  },\n  delay: 0,\n  duration: [300, 250],\n  getReferenceClientRect: null,\n  hideOnClick: true,\n  ignoreAttributes: false,\n  interactive: false,\n  interactiveBorder: 2,\n  interactiveDebounce: 0,\n  moveTransition: '',\n  offset: [0, 10],\n  onAfterUpdate: function onAfterUpdate() {},\n  onBeforeUpdate: function onBeforeUpdate() {},\n  onCreate: function onCreate() {},\n  onDestroy: function onDestroy() {},\n  onHidden: function onHidden() {},\n  onHide: function onHide() {},\n  onMount: function onMount() {},\n  onShow: function onShow() {},\n  onShown: function onShown() {},\n  onTrigger: function onTrigger() {},\n  onUntrigger: function onUntrigger() {},\n  onClickOutside: function onClickOutside() {},\n  placement: 'top',\n  plugins: [],\n  popperOptions: {},\n  render: null,\n  showOnCreate: false,\n  touch: true,\n  trigger: 'mouseenter focus',\n  triggerTarget: null\n}, pluginProps, renderProps);\nvar defaultKeys = Object.keys(defaultProps);\nvar setDefaultProps = function setDefaultProps(partialProps) {\n  /* istanbul ignore else */\n  if (process.env.NODE_ENV !== \"production\") {\n    validateProps(partialProps, []);\n  }\n\n  var keys = Object.keys(partialProps);\n  keys.forEach(function (key) {\n    defaultProps[key] = partialProps[key];\n  });\n};\nfunction getExtendedPassedProps(passedProps) {\n  var plugins = passedProps.plugins || [];\n  var pluginProps = plugins.reduce(function (acc, plugin) {\n    var name = plugin.name,\n        defaultValue = plugin.defaultValue;\n\n    if (name) {\n      var _name;\n\n      acc[name] = passedProps[name] !== undefined ? passedProps[name] : (_name = defaultProps[name]) != null ? _name : defaultValue;\n    }\n\n    return acc;\n  }, {});\n  return Object.assign({}, passedProps, pluginProps);\n}\nfunction getDataAttributeProps(reference, plugins) {\n  var propKeys = plugins ? Object.keys(getExtendedPassedProps(Object.assign({}, defaultProps, {\n    plugins: plugins\n  }))) : defaultKeys;\n  var props = propKeys.reduce(function (acc, key) {\n    var valueAsString = (reference.getAttribute(\"data-tippy-\" + key) || '').trim();\n\n    if (!valueAsString) {\n      return acc;\n    }\n\n    if (key === 'content') {\n      acc[key] = valueAsString;\n    } else {\n      try {\n        acc[key] = JSON.parse(valueAsString);\n      } catch (e) {\n        acc[key] = valueAsString;\n      }\n    }\n\n    return acc;\n  }, {});\n  return props;\n}\nfunction evaluateProps(reference, props) {\n  var out = Object.assign({}, props, {\n    content: invokeWithArgsOrReturn(props.content, [reference])\n  }, props.ignoreAttributes ? {} : getDataAttributeProps(reference, props.plugins));\n  out.aria = Object.assign({}, defaultProps.aria, out.aria);\n  out.aria = {\n    expanded: out.aria.expanded === 'auto' ? props.interactive : out.aria.expanded,\n    content: out.aria.content === 'auto' ? props.interactive ? null : 'describedby' : out.aria.content\n  };\n  return out;\n}\nfunction validateProps(partialProps, plugins) {\n  if (partialProps === void 0) {\n    partialProps = {};\n  }\n\n  if (plugins === void 0) {\n    plugins = [];\n  }\n\n  var keys = Object.keys(partialProps);\n  keys.forEach(function (prop) {\n    var nonPluginProps = removeProperties(defaultProps, Object.keys(pluginProps));\n    var didPassUnknownProp = !hasOwnProperty(nonPluginProps, prop); // Check if the prop exists in `plugins`\n\n    if (didPassUnknownProp) {\n      didPassUnknownProp = plugins.filter(function (plugin) {\n        return plugin.name === prop;\n      }).length === 0;\n    }\n\n    warnWhen(didPassUnknownProp, [\"`\" + prop + \"`\", \"is not a valid prop. You may have spelled it incorrectly, or if it's\", 'a plugin, forgot to pass it in an array as props.plugins.', '\\n\\n', 'All props: https://atomiks.github.io/tippyjs/v6/all-props/\\n', 'Plugins: https://atomiks.github.io/tippyjs/v6/plugins/'].join(' '));\n  });\n}\n\nvar innerHTML = function innerHTML() {\n  return 'innerHTML';\n};\n\nfunction dangerouslySetInnerHTML(element, html) {\n  element[innerHTML()] = html;\n}\n\nfunction createArrowElement(value) {\n  var arrow = div();\n\n  if (value === true) {\n    arrow.className = ARROW_CLASS;\n  } else {\n    arrow.className = SVG_ARROW_CLASS;\n\n    if (isElement(value)) {\n      arrow.appendChild(value);\n    } else {\n      dangerouslySetInnerHTML(arrow, value);\n    }\n  }\n\n  return arrow;\n}\n\nfunction setContent(content, props) {\n  if (isElement(props.content)) {\n    dangerouslySetInnerHTML(content, '');\n    content.appendChild(props.content);\n  } else if (typeof props.content !== 'function') {\n    if (props.allowHTML) {\n      dangerouslySetInnerHTML(content, props.content);\n    } else {\n      content.textContent = props.content;\n    }\n  }\n}\nfunction getChildren(popper) {\n  var box = popper.firstElementChild;\n  var boxChildren = arrayFrom(box.children);\n  return {\n    box: box,\n    content: boxChildren.find(function (node) {\n      return node.classList.contains(CONTENT_CLASS);\n    }),\n    arrow: boxChildren.find(function (node) {\n      return node.classList.contains(ARROW_CLASS) || node.classList.contains(SVG_ARROW_CLASS);\n    }),\n    backdrop: boxChildren.find(function (node) {\n      return node.classList.contains(BACKDROP_CLASS);\n    })\n  };\n}\nfunction render(instance) {\n  var popper = div();\n  var box = div();\n  box.className = BOX_CLASS;\n  box.setAttribute('data-state', 'hidden');\n  box.setAttribute('tabindex', '-1');\n  var content = div();\n  content.className = CONTENT_CLASS;\n  content.setAttribute('data-state', 'hidden');\n  setContent(content, instance.props);\n  popper.appendChild(box);\n  box.appendChild(content);\n  onUpdate(instance.props, instance.props);\n\n  function onUpdate(prevProps, nextProps) {\n    var _getChildren = getChildren(popper),\n        box = _getChildren.box,\n        content = _getChildren.content,\n        arrow = _getChildren.arrow;\n\n    if (nextProps.theme) {\n      box.setAttribute('data-theme', nextProps.theme);\n    } else {\n      box.removeAttribute('data-theme');\n    }\n\n    if (typeof nextProps.animation === 'string') {\n      box.setAttribute('data-animation', nextProps.animation);\n    } else {\n      box.removeAttribute('data-animation');\n    }\n\n    if (nextProps.inertia) {\n      box.setAttribute('data-inertia', '');\n    } else {\n      box.removeAttribute('data-inertia');\n    }\n\n    box.style.maxWidth = typeof nextProps.maxWidth === 'number' ? nextProps.maxWidth + \"px\" : nextProps.maxWidth;\n\n    if (nextProps.role) {\n      box.setAttribute('role', nextProps.role);\n    } else {\n      box.removeAttribute('role');\n    }\n\n    if (prevProps.content !== nextProps.content || prevProps.allowHTML !== nextProps.allowHTML) {\n      setContent(content, instance.props);\n    }\n\n    if (nextProps.arrow) {\n      if (!arrow) {\n        box.appendChild(createArrowElement(nextProps.arrow));\n      } else if (prevProps.arrow !== nextProps.arrow) {\n        box.removeChild(arrow);\n        box.appendChild(createArrowElement(nextProps.arrow));\n      }\n    } else if (arrow) {\n      box.removeChild(arrow);\n    }\n  }\n\n  return {\n    popper: popper,\n    onUpdate: onUpdate\n  };\n} // Runtime check to identify if the render function is the default one; this\n// way we can apply default CSS transitions logic and it can be tree-shaken away\n\nrender.$$tippy = true;\n\nvar idCounter = 1;\nvar mouseMoveListeners = []; // Used by `hideAll()`\n\nvar mountedInstances = [];\nfunction createTippy(reference, passedProps) {\n  var props = evaluateProps(reference, Object.assign({}, defaultProps, getExtendedPassedProps(removeUndefinedProps(passedProps)))); // ===========================================================================\n  // 🔒 Private members\n  // ===========================================================================\n\n  var showTimeout;\n  var hideTimeout;\n  var scheduleHideAnimationFrame;\n  var isVisibleFromClick = false;\n  var didHideDueToDocumentMouseDown = false;\n  var didTouchMove = false;\n  var ignoreOnFirstUpdate = false;\n  var lastTriggerEvent;\n  var currentTransitionEndListener;\n  var onFirstUpdate;\n  var listeners = [];\n  var debouncedOnMouseMove = debounce(onMouseMove, props.interactiveDebounce);\n  var currentTarget; // ===========================================================================\n  // 🔑 Public members\n  // ===========================================================================\n\n  var id = idCounter++;\n  var popperInstance = null;\n  var plugins = unique(props.plugins);\n  var state = {\n    // Is the instance currently enabled?\n    isEnabled: true,\n    // Is the tippy currently showing and not transitioning out?\n    isVisible: false,\n    // Has the instance been destroyed?\n    isDestroyed: false,\n    // Is the tippy currently mounted to the DOM?\n    isMounted: false,\n    // Has the tippy finished transitioning in?\n    isShown: false\n  };\n  var instance = {\n    // properties\n    id: id,\n    reference: reference,\n    popper: div(),\n    popperInstance: popperInstance,\n    props: props,\n    state: state,\n    plugins: plugins,\n    // methods\n    clearDelayTimeouts: clearDelayTimeouts,\n    setProps: setProps,\n    setContent: setContent,\n    show: show,\n    hide: hide,\n    hideWithInteractivity: hideWithInteractivity,\n    enable: enable,\n    disable: disable,\n    unmount: unmount,\n    destroy: destroy\n  }; // TODO: Investigate why this early return causes a TDZ error in the tests —\n  // it doesn't seem to happen in the browser\n\n  /* istanbul ignore if */\n\n  if (!props.render) {\n    if (process.env.NODE_ENV !== \"production\") {\n      errorWhen(true, 'render() function has not been supplied.');\n    }\n\n    return instance;\n  } // ===========================================================================\n  // Initial mutations\n  // ===========================================================================\n\n\n  var _props$render = props.render(instance),\n      popper = _props$render.popper,\n      onUpdate = _props$render.onUpdate;\n\n  popper.setAttribute('data-tippy-root', '');\n  popper.id = \"tippy-\" + instance.id;\n  instance.popper = popper;\n  reference._tippy = instance;\n  popper._tippy = instance;\n  var pluginsHooks = plugins.map(function (plugin) {\n    return plugin.fn(instance);\n  });\n  var hasAriaExpanded = reference.hasAttribute('aria-expanded');\n  addListeners();\n  handleAriaExpandedAttribute();\n  handleStyles();\n  invokeHook('onCreate', [instance]);\n\n  if (props.showOnCreate) {\n    scheduleShow();\n  } // Prevent a tippy with a delay from hiding if the cursor left then returned\n  // before it started hiding\n\n\n  popper.addEventListener('mouseenter', function () {\n    if (instance.props.interactive && instance.state.isVisible) {\n      instance.clearDelayTimeouts();\n    }\n  });\n  popper.addEventListener('mouseleave', function () {\n    if (instance.props.interactive && instance.props.trigger.indexOf('mouseenter') >= 0) {\n      getDocument().addEventListener('mousemove', debouncedOnMouseMove);\n    }\n  });\n  return instance; // ===========================================================================\n  // 🔒 Private methods\n  // ===========================================================================\n\n  function getNormalizedTouchSettings() {\n    var touch = instance.props.touch;\n    return Array.isArray(touch) ? touch : [touch, 0];\n  }\n\n  function getIsCustomTouchBehavior() {\n    return getNormalizedTouchSettings()[0] === 'hold';\n  }\n\n  function getIsDefaultRenderFn() {\n    var _instance$props$rende;\n\n    // @ts-ignore\n    return !!((_instance$props$rende = instance.props.render) != null && _instance$props$rende.$$tippy);\n  }\n\n  function getCurrentTarget() {\n    return currentTarget || reference;\n  }\n\n  function getDocument() {\n    var parent = getCurrentTarget().parentNode;\n    return parent ? getOwnerDocument(parent) : document;\n  }\n\n  function getDefaultTemplateChildren() {\n    return getChildren(popper);\n  }\n\n  function getDelay(isShow) {\n    // For touch or keyboard input, force `0` delay for UX reasons\n    // Also if the instance is mounted but not visible (transitioning out),\n    // ignore delay\n    if (instance.state.isMounted && !instance.state.isVisible || currentInput.isTouch || lastTriggerEvent && lastTriggerEvent.type === 'focus') {\n      return 0;\n    }\n\n    return getValueAtIndexOrReturn(instance.props.delay, isShow ? 0 : 1, defaultProps.delay);\n  }\n\n  function handleStyles(fromHide) {\n    if (fromHide === void 0) {\n      fromHide = false;\n    }\n\n    popper.style.pointerEvents = instance.props.interactive && !fromHide ? '' : 'none';\n    popper.style.zIndex = \"\" + instance.props.zIndex;\n  }\n\n  function invokeHook(hook, args, shouldInvokePropsHook) {\n    if (shouldInvokePropsHook === void 0) {\n      shouldInvokePropsHook = true;\n    }\n\n    pluginsHooks.forEach(function (pluginHooks) {\n      if (pluginHooks[hook]) {\n        pluginHooks[hook].apply(pluginHooks, args);\n      }\n    });\n\n    if (shouldInvokePropsHook) {\n      var _instance$props;\n\n      (_instance$props = instance.props)[hook].apply(_instance$props, args);\n    }\n  }\n\n  function handleAriaContentAttribute() {\n    var aria = instance.props.aria;\n\n    if (!aria.content) {\n      return;\n    }\n\n    var attr = \"aria-\" + aria.content;\n    var id = popper.id;\n    var nodes = normalizeToArray(instance.props.triggerTarget || reference);\n    nodes.forEach(function (node) {\n      var currentValue = node.getAttribute(attr);\n\n      if (instance.state.isVisible) {\n        node.setAttribute(attr, currentValue ? currentValue + \" \" + id : id);\n      } else {\n        var nextValue = currentValue && currentValue.replace(id, '').trim();\n\n        if (nextValue) {\n          node.setAttribute(attr, nextValue);\n        } else {\n          node.removeAttribute(attr);\n        }\n      }\n    });\n  }\n\n  function handleAriaExpandedAttribute() {\n    if (hasAriaExpanded || !instance.props.aria.expanded) {\n      return;\n    }\n\n    var nodes = normalizeToArray(instance.props.triggerTarget || reference);\n    nodes.forEach(function (node) {\n      if (instance.props.interactive) {\n        node.setAttribute('aria-expanded', instance.state.isVisible && node === getCurrentTarget() ? 'true' : 'false');\n      } else {\n        node.removeAttribute('aria-expanded');\n      }\n    });\n  }\n\n  function cleanupInteractiveMouseListeners() {\n    getDocument().removeEventListener('mousemove', debouncedOnMouseMove);\n    mouseMoveListeners = mouseMoveListeners.filter(function (listener) {\n      return listener !== debouncedOnMouseMove;\n    });\n  }\n\n  function onDocumentPress(event) {\n    // Moved finger to scroll instead of an intentional tap outside\n    if (currentInput.isTouch) {\n      if (didTouchMove || event.type === 'mousedown') {\n        return;\n      }\n    }\n\n    var actualTarget = event.composedPath && event.composedPath()[0] || event.target; // Clicked on interactive popper\n\n    if (instance.props.interactive && actualContains(popper, actualTarget)) {\n      return;\n    } // Clicked on the event listeners target\n\n\n    if (normalizeToArray(instance.props.triggerTarget || reference).some(function (el) {\n      return actualContains(el, actualTarget);\n    })) {\n      if (currentInput.isTouch) {\n        return;\n      }\n\n      if (instance.state.isVisible && instance.props.trigger.indexOf('click') >= 0) {\n        return;\n      }\n    } else {\n      invokeHook('onClickOutside', [instance, event]);\n    }\n\n    if (instance.props.hideOnClick === true) {\n      instance.clearDelayTimeouts();\n      instance.hide(); // `mousedown` event is fired right before `focus` if pressing the\n      // currentTarget. This lets a tippy with `focus` trigger know that it\n      // should not show\n\n      didHideDueToDocumentMouseDown = true;\n      setTimeout(function () {\n        didHideDueToDocumentMouseDown = false;\n      }); // The listener gets added in `scheduleShow()`, but this may be hiding it\n      // before it shows, and hide()'s early bail-out behavior can prevent it\n      // from being cleaned up\n\n      if (!instance.state.isMounted) {\n        removeDocumentPress();\n      }\n    }\n  }\n\n  function onTouchMove() {\n    didTouchMove = true;\n  }\n\n  function onTouchStart() {\n    didTouchMove = false;\n  }\n\n  function addDocumentPress() {\n    var doc = getDocument();\n    doc.addEventListener('mousedown', onDocumentPress, true);\n    doc.addEventListener('touchend', onDocumentPress, TOUCH_OPTIONS);\n    doc.addEventListener('touchstart', onTouchStart, TOUCH_OPTIONS);\n    doc.addEventListener('touchmove', onTouchMove, TOUCH_OPTIONS);\n  }\n\n  function removeDocumentPress() {\n    var doc = getDocument();\n    doc.removeEventListener('mousedown', onDocumentPress, true);\n    doc.removeEventListener('touchend', onDocumentPress, TOUCH_OPTIONS);\n    doc.removeEventListener('touchstart', onTouchStart, TOUCH_OPTIONS);\n    doc.removeEventListener('touchmove', onTouchMove, TOUCH_OPTIONS);\n  }\n\n  function onTransitionedOut(duration, callback) {\n    onTransitionEnd(duration, function () {\n      if (!instance.state.isVisible && popper.parentNode && popper.parentNode.contains(popper)) {\n        callback();\n      }\n    });\n  }\n\n  function onTransitionedIn(duration, callback) {\n    onTransitionEnd(duration, callback);\n  }\n\n  function onTransitionEnd(duration, callback) {\n    var box = getDefaultTemplateChildren().box;\n\n    function listener(event) {\n      if (event.target === box) {\n        updateTransitionEndListener(box, 'remove', listener);\n        callback();\n      }\n    } // Make callback synchronous if duration is 0\n    // `transitionend` won't fire otherwise\n\n\n    if (duration === 0) {\n      return callback();\n    }\n\n    updateTransitionEndListener(box, 'remove', currentTransitionEndListener);\n    updateTransitionEndListener(box, 'add', listener);\n    currentTransitionEndListener = listener;\n  }\n\n  function on(eventType, handler, options) {\n    if (options === void 0) {\n      options = false;\n    }\n\n    var nodes = normalizeToArray(instance.props.triggerTarget || reference);\n    nodes.forEach(function (node) {\n      node.addEventListener(eventType, handler, options);\n      listeners.push({\n        node: node,\n        eventType: eventType,\n        handler: handler,\n        options: options\n      });\n    });\n  }\n\n  function addListeners() {\n    if (getIsCustomTouchBehavior()) {\n      on('touchstart', onTrigger, {\n        passive: true\n      });\n      on('touchend', onMouseLeave, {\n        passive: true\n      });\n    }\n\n    splitBySpaces(instance.props.trigger).forEach(function (eventType) {\n      if (eventType === 'manual') {\n        return;\n      }\n\n      on(eventType, onTrigger);\n\n      switch (eventType) {\n        case 'mouseenter':\n          on('mouseleave', onMouseLeave);\n          break;\n\n        case 'focus':\n          on(isIE11 ? 'focusout' : 'blur', onBlurOrFocusOut);\n          break;\n\n        case 'focusin':\n          on('focusout', onBlurOrFocusOut);\n          break;\n      }\n    });\n  }\n\n  function removeListeners() {\n    listeners.forEach(function (_ref) {\n      var node = _ref.node,\n          eventType = _ref.eventType,\n          handler = _ref.handler,\n          options = _ref.options;\n      node.removeEventListener(eventType, handler, options);\n    });\n    listeners = [];\n  }\n\n  function onTrigger(event) {\n    var _lastTriggerEvent;\n\n    var shouldScheduleClickHide = false;\n\n    if (!instance.state.isEnabled || isEventListenerStopped(event) || didHideDueToDocumentMouseDown) {\n      return;\n    }\n\n    var wasFocused = ((_lastTriggerEvent = lastTriggerEvent) == null ? void 0 : _lastTriggerEvent.type) === 'focus';\n    lastTriggerEvent = event;\n    currentTarget = event.currentTarget;\n    handleAriaExpandedAttribute();\n\n    if (!instance.state.isVisible && isMouseEvent(event)) {\n      // If scrolling, `mouseenter` events can be fired if the cursor lands\n      // over a new target, but `mousemove` events don't get fired. This\n      // causes interactive tooltips to get stuck open until the cursor is\n      // moved\n      mouseMoveListeners.forEach(function (listener) {\n        return listener(event);\n      });\n    } // Toggle show/hide when clicking click-triggered tooltips\n\n\n    if (event.type === 'click' && (instance.props.trigger.indexOf('mouseenter') < 0 || isVisibleFromClick) && instance.props.hideOnClick !== false && instance.state.isVisible) {\n      shouldScheduleClickHide = true;\n    } else {\n      scheduleShow(event);\n    }\n\n    if (event.type === 'click') {\n      isVisibleFromClick = !shouldScheduleClickHide;\n    }\n\n    if (shouldScheduleClickHide && !wasFocused) {\n      scheduleHide(event);\n    }\n  }\n\n  function onMouseMove(event) {\n    var target = event.target;\n    var isCursorOverReferenceOrPopper = getCurrentTarget().contains(target) || popper.contains(target);\n\n    if (event.type === 'mousemove' && isCursorOverReferenceOrPopper) {\n      return;\n    }\n\n    var popperTreeData = getNestedPopperTree().concat(popper).map(function (popper) {\n      var _instance$popperInsta;\n\n      var instance = popper._tippy;\n      var state = (_instance$popperInsta = instance.popperInstance) == null ? void 0 : _instance$popperInsta.state;\n\n      if (state) {\n        return {\n          popperRect: popper.getBoundingClientRect(),\n          popperState: state,\n          props: props\n        };\n      }\n\n      return null;\n    }).filter(Boolean);\n\n    if (isCursorOutsideInteractiveBorder(popperTreeData, event)) {\n      cleanupInteractiveMouseListeners();\n      scheduleHide(event);\n    }\n  }\n\n  function onMouseLeave(event) {\n    var shouldBail = isEventListenerStopped(event) || instance.props.trigger.indexOf('click') >= 0 && isVisibleFromClick;\n\n    if (shouldBail) {\n      return;\n    }\n\n    if (instance.props.interactive) {\n      instance.hideWithInteractivity(event);\n      return;\n    }\n\n    scheduleHide(event);\n  }\n\n  function onBlurOrFocusOut(event) {\n    if (instance.props.trigger.indexOf('focusin') < 0 && event.target !== getCurrentTarget()) {\n      return;\n    } // If focus was moved to within the popper\n\n\n    if (instance.props.interactive && event.relatedTarget && popper.contains(event.relatedTarget)) {\n      return;\n    }\n\n    scheduleHide(event);\n  }\n\n  function isEventListenerStopped(event) {\n    return currentInput.isTouch ? getIsCustomTouchBehavior() !== event.type.indexOf('touch') >= 0 : false;\n  }\n\n  function createPopperInstance() {\n    destroyPopperInstance();\n    var _instance$props2 = instance.props,\n        popperOptions = _instance$props2.popperOptions,\n        placement = _instance$props2.placement,\n        offset = _instance$props2.offset,\n        getReferenceClientRect = _instance$props2.getReferenceClientRect,\n        moveTransition = _instance$props2.moveTransition;\n    var arrow = getIsDefaultRenderFn() ? getChildren(popper).arrow : null;\n    var computedReference = getReferenceClientRect ? {\n      getBoundingClientRect: getReferenceClientRect,\n      contextElement: getReferenceClientRect.contextElement || getCurrentTarget()\n    } : reference;\n    var tippyModifier = {\n      name: '$$tippy',\n      enabled: true,\n      phase: 'beforeWrite',\n      requires: ['computeStyles'],\n      fn: function fn(_ref2) {\n        var state = _ref2.state;\n\n        if (getIsDefaultRenderFn()) {\n          var _getDefaultTemplateCh = getDefaultTemplateChildren(),\n              box = _getDefaultTemplateCh.box;\n\n          ['placement', 'reference-hidden', 'escaped'].forEach(function (attr) {\n            if (attr === 'placement') {\n              box.setAttribute('data-placement', state.placement);\n            } else {\n              if (state.attributes.popper[\"data-popper-\" + attr]) {\n                box.setAttribute(\"data-\" + attr, '');\n              } else {\n                box.removeAttribute(\"data-\" + attr);\n              }\n            }\n          });\n          state.attributes.popper = {};\n        }\n      }\n    };\n    var modifiers = [{\n      name: 'offset',\n      options: {\n        offset: offset\n      }\n    }, {\n      name: 'preventOverflow',\n      options: {\n        padding: {\n          top: 2,\n          bottom: 2,\n          left: 5,\n          right: 5\n        }\n      }\n    }, {\n      name: 'flip',\n      options: {\n        padding: 5\n      }\n    }, {\n      name: 'computeStyles',\n      options: {\n        adaptive: !moveTransition\n      }\n    }, tippyModifier];\n\n    if (getIsDefaultRenderFn() && arrow) {\n      modifiers.push({\n        name: 'arrow',\n        options: {\n          element: arrow,\n          padding: 3\n        }\n      });\n    }\n\n    modifiers.push.apply(modifiers, (popperOptions == null ? void 0 : popperOptions.modifiers) || []);\n    instance.popperInstance = createPopper(computedReference, popper, Object.assign({}, popperOptions, {\n      placement: placement,\n      onFirstUpdate: onFirstUpdate,\n      modifiers: modifiers\n    }));\n  }\n\n  function destroyPopperInstance() {\n    if (instance.popperInstance) {\n      instance.popperInstance.destroy();\n      instance.popperInstance = null;\n    }\n  }\n\n  function mount() {\n    var appendTo = instance.props.appendTo;\n    var parentNode; // By default, we'll append the popper to the triggerTargets's parentNode so\n    // it's directly after the reference element so the elements inside the\n    // tippy can be tabbed to\n    // If there are clipping issues, the user can specify a different appendTo\n    // and ensure focus management is handled correctly manually\n\n    var node = getCurrentTarget();\n\n    if (instance.props.interactive && appendTo === TIPPY_DEFAULT_APPEND_TO || appendTo === 'parent') {\n      parentNode = node.parentNode;\n    } else {\n      parentNode = invokeWithArgsOrReturn(appendTo, [node]);\n    } // The popper element needs to exist on the DOM before its position can be\n    // updated as Popper needs to read its dimensions\n\n\n    if (!parentNode.contains(popper)) {\n      parentNode.appendChild(popper);\n    }\n\n    instance.state.isMounted = true;\n    createPopperInstance();\n    /* istanbul ignore else */\n\n    if (process.env.NODE_ENV !== \"production\") {\n      // Accessibility check\n      warnWhen(instance.props.interactive && appendTo === defaultProps.appendTo && node.nextElementSibling !== popper, ['Interactive tippy element may not be accessible via keyboard', 'navigation because it is not directly after the reference element', 'in the DOM source order.', '\\n\\n', 'Using a wrapper <div> or <span> tag around the reference element', 'solves this by creating a new parentNode context.', '\\n\\n', 'Specifying `appendTo: document.body` silences this warning, but it', 'assumes you are using a focus management solution to handle', 'keyboard navigation.', '\\n\\n', 'See: https://atomiks.github.io/tippyjs/v6/accessibility/#interactivity'].join(' '));\n    }\n  }\n\n  function getNestedPopperTree() {\n    return arrayFrom(popper.querySelectorAll('[data-tippy-root]'));\n  }\n\n  function scheduleShow(event) {\n    instance.clearDelayTimeouts();\n\n    if (event) {\n      invokeHook('onTrigger', [instance, event]);\n    }\n\n    addDocumentPress();\n    var delay = getDelay(true);\n\n    var _getNormalizedTouchSe = getNormalizedTouchSettings(),\n        touchValue = _getNormalizedTouchSe[0],\n        touchDelay = _getNormalizedTouchSe[1];\n\n    if (currentInput.isTouch && touchValue === 'hold' && touchDelay) {\n      delay = touchDelay;\n    }\n\n    if (delay) {\n      showTimeout = setTimeout(function () {\n        instance.show();\n      }, delay);\n    } else {\n      instance.show();\n    }\n  }\n\n  function scheduleHide(event) {\n    instance.clearDelayTimeouts();\n    invokeHook('onUntrigger', [instance, event]);\n\n    if (!instance.state.isVisible) {\n      removeDocumentPress();\n      return;\n    } // For interactive tippies, scheduleHide is added to a document.body handler\n    // from onMouseLeave so must intercept scheduled hides from mousemove/leave\n    // events when trigger contains mouseenter and click, and the tip is\n    // currently shown as a result of a click.\n\n\n    if (instance.props.trigger.indexOf('mouseenter') >= 0 && instance.props.trigger.indexOf('click') >= 0 && ['mouseleave', 'mousemove'].indexOf(event.type) >= 0 && isVisibleFromClick) {\n      return;\n    }\n\n    var delay = getDelay(false);\n\n    if (delay) {\n      hideTimeout = setTimeout(function () {\n        if (instance.state.isVisible) {\n          instance.hide();\n        }\n      }, delay);\n    } else {\n      // Fixes a `transitionend` problem when it fires 1 frame too\n      // late sometimes, we don't want hide() to be called.\n      scheduleHideAnimationFrame = requestAnimationFrame(function () {\n        instance.hide();\n      });\n    }\n  } // ===========================================================================\n  // 🔑 Public methods\n  // ===========================================================================\n\n\n  function enable() {\n    instance.state.isEnabled = true;\n  }\n\n  function disable() {\n    // Disabling the instance should also hide it\n    // https://github.com/atomiks/tippy.js-react/issues/106\n    instance.hide();\n    instance.state.isEnabled = false;\n  }\n\n  function clearDelayTimeouts() {\n    clearTimeout(showTimeout);\n    clearTimeout(hideTimeout);\n    cancelAnimationFrame(scheduleHideAnimationFrame);\n  }\n\n  function setProps(partialProps) {\n    /* istanbul ignore else */\n    if (process.env.NODE_ENV !== \"production\") {\n      warnWhen(instance.state.isDestroyed, createMemoryLeakWarning('setProps'));\n    }\n\n    if (instance.state.isDestroyed) {\n      return;\n    }\n\n    invokeHook('onBeforeUpdate', [instance, partialProps]);\n    removeListeners();\n    var prevProps = instance.props;\n    var nextProps = evaluateProps(reference, Object.assign({}, prevProps, removeUndefinedProps(partialProps), {\n      ignoreAttributes: true\n    }));\n    instance.props = nextProps;\n    addListeners();\n\n    if (prevProps.interactiveDebounce !== nextProps.interactiveDebounce) {\n      cleanupInteractiveMouseListeners();\n      debouncedOnMouseMove = debounce(onMouseMove, nextProps.interactiveDebounce);\n    } // Ensure stale aria-expanded attributes are removed\n\n\n    if (prevProps.triggerTarget && !nextProps.triggerTarget) {\n      normalizeToArray(prevProps.triggerTarget).forEach(function (node) {\n        node.removeAttribute('aria-expanded');\n      });\n    } else if (nextProps.triggerTarget) {\n      reference.removeAttribute('aria-expanded');\n    }\n\n    handleAriaExpandedAttribute();\n    handleStyles();\n\n    if (onUpdate) {\n      onUpdate(prevProps, nextProps);\n    }\n\n    if (instance.popperInstance) {\n      createPopperInstance(); // Fixes an issue with nested tippies if they are all getting re-rendered,\n      // and the nested ones get re-rendered first.\n      // https://github.com/atomiks/tippyjs-react/issues/177\n      // TODO: find a cleaner / more efficient solution(!)\n\n      getNestedPopperTree().forEach(function (nestedPopper) {\n        // React (and other UI libs likely) requires a rAF wrapper as it flushes\n        // its work in one\n        requestAnimationFrame(nestedPopper._tippy.popperInstance.forceUpdate);\n      });\n    }\n\n    invokeHook('onAfterUpdate', [instance, partialProps]);\n  }\n\n  function setContent(content) {\n    instance.setProps({\n      content: content\n    });\n  }\n\n  function show() {\n    /* istanbul ignore else */\n    if (process.env.NODE_ENV !== \"production\") {\n      warnWhen(instance.state.isDestroyed, createMemoryLeakWarning('show'));\n    } // Early bail-out\n\n\n    var isAlreadyVisible = instance.state.isVisible;\n    var isDestroyed = instance.state.isDestroyed;\n    var isDisabled = !instance.state.isEnabled;\n    var isTouchAndTouchDisabled = currentInput.isTouch && !instance.props.touch;\n    var duration = getValueAtIndexOrReturn(instance.props.duration, 0, defaultProps.duration);\n\n    if (isAlreadyVisible || isDestroyed || isDisabled || isTouchAndTouchDisabled) {\n      return;\n    } // Normalize `disabled` behavior across browsers.\n    // Firefox allows events on disabled elements, but Chrome doesn't.\n    // Using a wrapper element (i.e. <span>) is recommended.\n\n\n    if (getCurrentTarget().hasAttribute('disabled')) {\n      return;\n    }\n\n    invokeHook('onShow', [instance], false);\n\n    if (instance.props.onShow(instance) === false) {\n      return;\n    }\n\n    instance.state.isVisible = true;\n\n    if (getIsDefaultRenderFn()) {\n      popper.style.visibility = 'visible';\n    }\n\n    handleStyles();\n    addDocumentPress();\n\n    if (!instance.state.isMounted) {\n      popper.style.transition = 'none';\n    } // If flipping to the opposite side after hiding at least once, the\n    // animation will use the wrong placement without resetting the duration\n\n\n    if (getIsDefaultRenderFn()) {\n      var _getDefaultTemplateCh2 = getDefaultTemplateChildren(),\n          box = _getDefaultTemplateCh2.box,\n          content = _getDefaultTemplateCh2.content;\n\n      setTransitionDuration([box, content], 0);\n    }\n\n    onFirstUpdate = function onFirstUpdate() {\n      var _instance$popperInsta2;\n\n      if (!instance.state.isVisible || ignoreOnFirstUpdate) {\n        return;\n      }\n\n      ignoreOnFirstUpdate = true; // reflow\n\n      void popper.offsetHeight;\n      popper.style.transition = instance.props.moveTransition;\n\n      if (getIsDefaultRenderFn() && instance.props.animation) {\n        var _getDefaultTemplateCh3 = getDefaultTemplateChildren(),\n            _box = _getDefaultTemplateCh3.box,\n            _content = _getDefaultTemplateCh3.content;\n\n        setTransitionDuration([_box, _content], duration);\n        setVisibilityState([_box, _content], 'visible');\n      }\n\n      handleAriaContentAttribute();\n      handleAriaExpandedAttribute();\n      pushIfUnique(mountedInstances, instance); // certain modifiers (e.g. `maxSize`) require a second update after the\n      // popper has been positioned for the first time\n\n      (_instance$popperInsta2 = instance.popperInstance) == null ? void 0 : _instance$popperInsta2.forceUpdate();\n      invokeHook('onMount', [instance]);\n\n      if (instance.props.animation && getIsDefaultRenderFn()) {\n        onTransitionedIn(duration, function () {\n          instance.state.isShown = true;\n          invokeHook('onShown', [instance]);\n        });\n      }\n    };\n\n    mount();\n  }\n\n  function hide() {\n    /* istanbul ignore else */\n    if (process.env.NODE_ENV !== \"production\") {\n      warnWhen(instance.state.isDestroyed, createMemoryLeakWarning('hide'));\n    } // Early bail-out\n\n\n    var isAlreadyHidden = !instance.state.isVisible;\n    var isDestroyed = instance.state.isDestroyed;\n    var isDisabled = !instance.state.isEnabled;\n    var duration = getValueAtIndexOrReturn(instance.props.duration, 1, defaultProps.duration);\n\n    if (isAlreadyHidden || isDestroyed || isDisabled) {\n      return;\n    }\n\n    invokeHook('onHide', [instance], false);\n\n    if (instance.props.onHide(instance) === false) {\n      return;\n    }\n\n    instance.state.isVisible = false;\n    instance.state.isShown = false;\n    ignoreOnFirstUpdate = false;\n    isVisibleFromClick = false;\n\n    if (getIsDefaultRenderFn()) {\n      popper.style.visibility = 'hidden';\n    }\n\n    cleanupInteractiveMouseListeners();\n    removeDocumentPress();\n    handleStyles(true);\n\n    if (getIsDefaultRenderFn()) {\n      var _getDefaultTemplateCh4 = getDefaultTemplateChildren(),\n          box = _getDefaultTemplateCh4.box,\n          content = _getDefaultTemplateCh4.content;\n\n      if (instance.props.animation) {\n        setTransitionDuration([box, content], duration);\n        setVisibilityState([box, content], 'hidden');\n      }\n    }\n\n    handleAriaContentAttribute();\n    handleAriaExpandedAttribute();\n\n    if (instance.props.animation) {\n      if (getIsDefaultRenderFn()) {\n        onTransitionedOut(duration, instance.unmount);\n      }\n    } else {\n      instance.unmount();\n    }\n  }\n\n  function hideWithInteractivity(event) {\n    /* istanbul ignore else */\n    if (process.env.NODE_ENV !== \"production\") {\n      warnWhen(instance.state.isDestroyed, createMemoryLeakWarning('hideWithInteractivity'));\n    }\n\n    getDocument().addEventListener('mousemove', debouncedOnMouseMove);\n    pushIfUnique(mouseMoveListeners, debouncedOnMouseMove);\n    debouncedOnMouseMove(event);\n  }\n\n  function unmount() {\n    /* istanbul ignore else */\n    if (process.env.NODE_ENV !== \"production\") {\n      warnWhen(instance.state.isDestroyed, createMemoryLeakWarning('unmount'));\n    }\n\n    if (instance.state.isVisible) {\n      instance.hide();\n    }\n\n    if (!instance.state.isMounted) {\n      return;\n    }\n\n    destroyPopperInstance(); // If a popper is not interactive, it will be appended outside the popper\n    // tree by default. This seems mainly for interactive tippies, but we should\n    // find a workaround if possible\n\n    getNestedPopperTree().forEach(function (nestedPopper) {\n      nestedPopper._tippy.unmount();\n    });\n\n    if (popper.parentNode) {\n      popper.parentNode.removeChild(popper);\n    }\n\n    mountedInstances = mountedInstances.filter(function (i) {\n      return i !== instance;\n    });\n    instance.state.isMounted = false;\n    invokeHook('onHidden', [instance]);\n  }\n\n  function destroy() {\n    /* istanbul ignore else */\n    if (process.env.NODE_ENV !== \"production\") {\n      warnWhen(instance.state.isDestroyed, createMemoryLeakWarning('destroy'));\n    }\n\n    if (instance.state.isDestroyed) {\n      return;\n    }\n\n    instance.clearDelayTimeouts();\n    instance.unmount();\n    removeListeners();\n    delete reference._tippy;\n    instance.state.isDestroyed = true;\n    invokeHook('onDestroy', [instance]);\n  }\n}\n\nfunction tippy(targets, optionalProps) {\n  if (optionalProps === void 0) {\n    optionalProps = {};\n  }\n\n  var plugins = defaultProps.plugins.concat(optionalProps.plugins || []);\n  /* istanbul ignore else */\n\n  if (process.env.NODE_ENV !== \"production\") {\n    validateTargets(targets);\n    validateProps(optionalProps, plugins);\n  }\n\n  bindGlobalEventListeners();\n  var passedProps = Object.assign({}, optionalProps, {\n    plugins: plugins\n  });\n  var elements = getArrayOfElements(targets);\n  /* istanbul ignore else */\n\n  if (process.env.NODE_ENV !== \"production\") {\n    var isSingleContentElement = isElement(passedProps.content);\n    var isMoreThanOneReferenceElement = elements.length > 1;\n    warnWhen(isSingleContentElement && isMoreThanOneReferenceElement, ['tippy() was passed an Element as the `content` prop, but more than', 'one tippy instance was created by this invocation. This means the', 'content element will only be appended to the last tippy instance.', '\\n\\n', 'Instead, pass the .innerHTML of the element, or use a function that', 'returns a cloned version of the element instead.', '\\n\\n', '1) content: element.innerHTML\\n', '2) content: () => element.cloneNode(true)'].join(' '));\n  }\n\n  var instances = elements.reduce(function (acc, reference) {\n    var instance = reference && createTippy(reference, passedProps);\n\n    if (instance) {\n      acc.push(instance);\n    }\n\n    return acc;\n  }, []);\n  return isElement(targets) ? instances[0] : instances;\n}\n\ntippy.defaultProps = defaultProps;\ntippy.setDefaultProps = setDefaultProps;\ntippy.currentInput = currentInput;\nvar hideAll = function hideAll(_temp) {\n  var _ref = _temp === void 0 ? {} : _temp,\n      excludedReferenceOrInstance = _ref.exclude,\n      duration = _ref.duration;\n\n  mountedInstances.forEach(function (instance) {\n    var isExcluded = false;\n\n    if (excludedReferenceOrInstance) {\n      isExcluded = isReferenceElement(excludedReferenceOrInstance) ? instance.reference === excludedReferenceOrInstance : instance.popper === excludedReferenceOrInstance.popper;\n    }\n\n    if (!isExcluded) {\n      var originalDuration = instance.props.duration;\n      instance.setProps({\n        duration: duration\n      });\n      instance.hide();\n\n      if (!instance.state.isDestroyed) {\n        instance.setProps({\n          duration: originalDuration\n        });\n      }\n    }\n  });\n};\n\n// every time the popper is destroyed (i.e. a new target), removing the styles\n// and causing transitions to break for singletons when the console is open, but\n// most notably for non-transform styles being used, `gpuAcceleration: false`.\n\nvar applyStylesModifier = Object.assign({}, applyStyles, {\n  effect: function effect(_ref) {\n    var state = _ref.state;\n    var initialStyles = {\n      popper: {\n        position: state.options.strategy,\n        left: '0',\n        top: '0',\n        margin: '0'\n      },\n      arrow: {\n        position: 'absolute'\n      },\n      reference: {}\n    };\n    Object.assign(state.elements.popper.style, initialStyles.popper);\n    state.styles = initialStyles;\n\n    if (state.elements.arrow) {\n      Object.assign(state.elements.arrow.style, initialStyles.arrow);\n    } // intentionally return no cleanup function\n    // return () => { ... }\n\n  }\n});\n\nvar createSingleton = function createSingleton(tippyInstances, optionalProps) {\n  var _optionalProps$popper;\n\n  if (optionalProps === void 0) {\n    optionalProps = {};\n  }\n\n  /* istanbul ignore else */\n  if (process.env.NODE_ENV !== \"production\") {\n    errorWhen(!Array.isArray(tippyInstances), ['The first argument passed to createSingleton() must be an array of', 'tippy instances. The passed value was', String(tippyInstances)].join(' '));\n  }\n\n  var individualInstances = tippyInstances;\n  var references = [];\n  var triggerTargets = [];\n  var currentTarget;\n  var overrides = optionalProps.overrides;\n  var interceptSetPropsCleanups = [];\n  var shownOnCreate = false;\n\n  function setTriggerTargets() {\n    triggerTargets = individualInstances.map(function (instance) {\n      return normalizeToArray(instance.props.triggerTarget || instance.reference);\n    }).reduce(function (acc, item) {\n      return acc.concat(item);\n    }, []);\n  }\n\n  function setReferences() {\n    references = individualInstances.map(function (instance) {\n      return instance.reference;\n    });\n  }\n\n  function enableInstances(isEnabled) {\n    individualInstances.forEach(function (instance) {\n      if (isEnabled) {\n        instance.enable();\n      } else {\n        instance.disable();\n      }\n    });\n  }\n\n  function interceptSetProps(singleton) {\n    return individualInstances.map(function (instance) {\n      var originalSetProps = instance.setProps;\n\n      instance.setProps = function (props) {\n        originalSetProps(props);\n\n        if (instance.reference === currentTarget) {\n          singleton.setProps(props);\n        }\n      };\n\n      return function () {\n        instance.setProps = originalSetProps;\n      };\n    });\n  } // have to pass singleton, as it maybe undefined on first call\n\n\n  function prepareInstance(singleton, target) {\n    var index = triggerTargets.indexOf(target); // bail-out\n\n    if (target === currentTarget) {\n      return;\n    }\n\n    currentTarget = target;\n    var overrideProps = (overrides || []).concat('content').reduce(function (acc, prop) {\n      acc[prop] = individualInstances[index].props[prop];\n      return acc;\n    }, {});\n    singleton.setProps(Object.assign({}, overrideProps, {\n      getReferenceClientRect: typeof overrideProps.getReferenceClientRect === 'function' ? overrideProps.getReferenceClientRect : function () {\n        var _references$index;\n\n        return (_references$index = references[index]) == null ? void 0 : _references$index.getBoundingClientRect();\n      }\n    }));\n  }\n\n  enableInstances(false);\n  setReferences();\n  setTriggerTargets();\n  var plugin = {\n    fn: function fn() {\n      return {\n        onDestroy: function onDestroy() {\n          enableInstances(true);\n        },\n        onHidden: function onHidden() {\n          currentTarget = null;\n        },\n        onClickOutside: function onClickOutside(instance) {\n          if (instance.props.showOnCreate && !shownOnCreate) {\n            shownOnCreate = true;\n            currentTarget = null;\n          }\n        },\n        onShow: function onShow(instance) {\n          if (instance.props.showOnCreate && !shownOnCreate) {\n            shownOnCreate = true;\n            prepareInstance(instance, references[0]);\n          }\n        },\n        onTrigger: function onTrigger(instance, event) {\n          prepareInstance(instance, event.currentTarget);\n        }\n      };\n    }\n  };\n  var singleton = tippy(div(), Object.assign({}, removeProperties(optionalProps, ['overrides']), {\n    plugins: [plugin].concat(optionalProps.plugins || []),\n    triggerTarget: triggerTargets,\n    popperOptions: Object.assign({}, optionalProps.popperOptions, {\n      modifiers: [].concat(((_optionalProps$popper = optionalProps.popperOptions) == null ? void 0 : _optionalProps$popper.modifiers) || [], [applyStylesModifier])\n    })\n  }));\n  var originalShow = singleton.show;\n\n  singleton.show = function (target) {\n    originalShow(); // first time, showOnCreate or programmatic call with no params\n    // default to showing first instance\n\n    if (!currentTarget && target == null) {\n      return prepareInstance(singleton, references[0]);\n    } // triggered from event (do nothing as prepareInstance already called by onTrigger)\n    // programmatic call with no params when already visible (do nothing again)\n\n\n    if (currentTarget && target == null) {\n      return;\n    } // target is index of instance\n\n\n    if (typeof target === 'number') {\n      return references[target] && prepareInstance(singleton, references[target]);\n    } // target is a child tippy instance\n\n\n    if (individualInstances.indexOf(target) >= 0) {\n      var ref = target.reference;\n      return prepareInstance(singleton, ref);\n    } // target is a ReferenceElement\n\n\n    if (references.indexOf(target) >= 0) {\n      return prepareInstance(singleton, target);\n    }\n  };\n\n  singleton.showNext = function () {\n    var first = references[0];\n\n    if (!currentTarget) {\n      return singleton.show(0);\n    }\n\n    var index = references.indexOf(currentTarget);\n    singleton.show(references[index + 1] || first);\n  };\n\n  singleton.showPrevious = function () {\n    var last = references[references.length - 1];\n\n    if (!currentTarget) {\n      return singleton.show(last);\n    }\n\n    var index = references.indexOf(currentTarget);\n    var target = references[index - 1] || last;\n    singleton.show(target);\n  };\n\n  var originalSetProps = singleton.setProps;\n\n  singleton.setProps = function (props) {\n    overrides = props.overrides || overrides;\n    originalSetProps(props);\n  };\n\n  singleton.setInstances = function (nextInstances) {\n    enableInstances(true);\n    interceptSetPropsCleanups.forEach(function (fn) {\n      return fn();\n    });\n    individualInstances = nextInstances;\n    enableInstances(false);\n    setReferences();\n    setTriggerTargets();\n    interceptSetPropsCleanups = interceptSetProps(singleton);\n    singleton.setProps({\n      triggerTarget: triggerTargets\n    });\n  };\n\n  interceptSetPropsCleanups = interceptSetProps(singleton);\n  return singleton;\n};\n\nvar BUBBLING_EVENTS_MAP = {\n  mouseover: 'mouseenter',\n  focusin: 'focus',\n  click: 'click'\n};\n/**\n * Creates a delegate instance that controls the creation of tippy instances\n * for child elements (`target` CSS selector).\n */\n\nfunction delegate(targets, props) {\n  /* istanbul ignore else */\n  if (process.env.NODE_ENV !== \"production\") {\n    errorWhen(!(props && props.target), ['You must specity a `target` prop indicating a CSS selector string matching', 'the target elements that should receive a tippy.'].join(' '));\n  }\n\n  var listeners = [];\n  var childTippyInstances = [];\n  var disabled = false;\n  var target = props.target;\n  var nativeProps = removeProperties(props, ['target']);\n  var parentProps = Object.assign({}, nativeProps, {\n    trigger: 'manual',\n    touch: false\n  });\n  var childProps = Object.assign({\n    touch: defaultProps.touch\n  }, nativeProps, {\n    showOnCreate: true\n  });\n  var returnValue = tippy(targets, parentProps);\n  var normalizedReturnValue = normalizeToArray(returnValue);\n\n  function onTrigger(event) {\n    if (!event.target || disabled) {\n      return;\n    }\n\n    var targetNode = event.target.closest(target);\n\n    if (!targetNode) {\n      return;\n    } // Get relevant trigger with fallbacks:\n    // 1. Check `data-tippy-trigger` attribute on target node\n    // 2. Fallback to `trigger` passed to `delegate()`\n    // 3. Fallback to `defaultProps.trigger`\n\n\n    var trigger = targetNode.getAttribute('data-tippy-trigger') || props.trigger || defaultProps.trigger; // @ts-ignore\n\n    if (targetNode._tippy) {\n      return;\n    }\n\n    if (event.type === 'touchstart' && typeof childProps.touch === 'boolean') {\n      return;\n    }\n\n    if (event.type !== 'touchstart' && trigger.indexOf(BUBBLING_EVENTS_MAP[event.type]) < 0) {\n      return;\n    }\n\n    var instance = tippy(targetNode, childProps);\n\n    if (instance) {\n      childTippyInstances = childTippyInstances.concat(instance);\n    }\n  }\n\n  function on(node, eventType, handler, options) {\n    if (options === void 0) {\n      options = false;\n    }\n\n    node.addEventListener(eventType, handler, options);\n    listeners.push({\n      node: node,\n      eventType: eventType,\n      handler: handler,\n      options: options\n    });\n  }\n\n  function addEventListeners(instance) {\n    var reference = instance.reference;\n    on(reference, 'touchstart', onTrigger, TOUCH_OPTIONS);\n    on(reference, 'mouseover', onTrigger);\n    on(reference, 'focusin', onTrigger);\n    on(reference, 'click', onTrigger);\n  }\n\n  function removeEventListeners() {\n    listeners.forEach(function (_ref) {\n      var node = _ref.node,\n          eventType = _ref.eventType,\n          handler = _ref.handler,\n          options = _ref.options;\n      node.removeEventListener(eventType, handler, options);\n    });\n    listeners = [];\n  }\n\n  function applyMutations(instance) {\n    var originalDestroy = instance.destroy;\n    var originalEnable = instance.enable;\n    var originalDisable = instance.disable;\n\n    instance.destroy = function (shouldDestroyChildInstances) {\n      if (shouldDestroyChildInstances === void 0) {\n        shouldDestroyChildInstances = true;\n      }\n\n      if (shouldDestroyChildInstances) {\n        childTippyInstances.forEach(function (instance) {\n          instance.destroy();\n        });\n      }\n\n      childTippyInstances = [];\n      removeEventListeners();\n      originalDestroy();\n    };\n\n    instance.enable = function () {\n      originalEnable();\n      childTippyInstances.forEach(function (instance) {\n        return instance.enable();\n      });\n      disabled = false;\n    };\n\n    instance.disable = function () {\n      originalDisable();\n      childTippyInstances.forEach(function (instance) {\n        return instance.disable();\n      });\n      disabled = true;\n    };\n\n    addEventListeners(instance);\n  }\n\n  normalizedReturnValue.forEach(applyMutations);\n  return returnValue;\n}\n\nvar animateFill = {\n  name: 'animateFill',\n  defaultValue: false,\n  fn: function fn(instance) {\n    var _instance$props$rende;\n\n    // @ts-ignore\n    if (!((_instance$props$rende = instance.props.render) != null && _instance$props$rende.$$tippy)) {\n      if (process.env.NODE_ENV !== \"production\") {\n        errorWhen(instance.props.animateFill, 'The `animateFill` plugin requires the default render function.');\n      }\n\n      return {};\n    }\n\n    var _getChildren = getChildren(instance.popper),\n        box = _getChildren.box,\n        content = _getChildren.content;\n\n    var backdrop = instance.props.animateFill ? createBackdropElement() : null;\n    return {\n      onCreate: function onCreate() {\n        if (backdrop) {\n          box.insertBefore(backdrop, box.firstElementChild);\n          box.setAttribute('data-animatefill', '');\n          box.style.overflow = 'hidden';\n          instance.setProps({\n            arrow: false,\n            animation: 'shift-away'\n          });\n        }\n      },\n      onMount: function onMount() {\n        if (backdrop) {\n          var transitionDuration = box.style.transitionDuration;\n          var duration = Number(transitionDuration.replace('ms', '')); // The content should fade in after the backdrop has mostly filled the\n          // tooltip element. `clip-path` is the other alternative but is not\n          // well-supported and is buggy on some devices.\n\n          content.style.transitionDelay = Math.round(duration / 10) + \"ms\";\n          backdrop.style.transitionDuration = transitionDuration;\n          setVisibilityState([backdrop], 'visible');\n        }\n      },\n      onShow: function onShow() {\n        if (backdrop) {\n          backdrop.style.transitionDuration = '0ms';\n        }\n      },\n      onHide: function onHide() {\n        if (backdrop) {\n          setVisibilityState([backdrop], 'hidden');\n        }\n      }\n    };\n  }\n};\n\nfunction createBackdropElement() {\n  var backdrop = div();\n  backdrop.className = BACKDROP_CLASS;\n  setVisibilityState([backdrop], 'hidden');\n  return backdrop;\n}\n\nvar mouseCoords = {\n  clientX: 0,\n  clientY: 0\n};\nvar activeInstances = [];\n\nfunction storeMouseCoords(_ref) {\n  var clientX = _ref.clientX,\n      clientY = _ref.clientY;\n  mouseCoords = {\n    clientX: clientX,\n    clientY: clientY\n  };\n}\n\nfunction addMouseCoordsListener(doc) {\n  doc.addEventListener('mousemove', storeMouseCoords);\n}\n\nfunction removeMouseCoordsListener(doc) {\n  doc.removeEventListener('mousemove', storeMouseCoords);\n}\n\nvar followCursor = {\n  name: 'followCursor',\n  defaultValue: false,\n  fn: function fn(instance) {\n    var reference = instance.reference;\n    var doc = getOwnerDocument(instance.props.triggerTarget || reference);\n    var isInternalUpdate = false;\n    var wasFocusEvent = false;\n    var isUnmounted = true;\n    var prevProps = instance.props;\n\n    function getIsInitialBehavior() {\n      return instance.props.followCursor === 'initial' && instance.state.isVisible;\n    }\n\n    function addListener() {\n      doc.addEventListener('mousemove', onMouseMove);\n    }\n\n    function removeListener() {\n      doc.removeEventListener('mousemove', onMouseMove);\n    }\n\n    function unsetGetReferenceClientRect() {\n      isInternalUpdate = true;\n      instance.setProps({\n        getReferenceClientRect: null\n      });\n      isInternalUpdate = false;\n    }\n\n    function onMouseMove(event) {\n      // If the instance is interactive, avoid updating the position unless it's\n      // over the reference element\n      var isCursorOverReference = event.target ? reference.contains(event.target) : true;\n      var followCursor = instance.props.followCursor;\n      var clientX = event.clientX,\n          clientY = event.clientY;\n      var rect = reference.getBoundingClientRect();\n      var relativeX = clientX - rect.left;\n      var relativeY = clientY - rect.top;\n\n      if (isCursorOverReference || !instance.props.interactive) {\n        instance.setProps({\n          // @ts-ignore - unneeded DOMRect properties\n          getReferenceClientRect: function getReferenceClientRect() {\n            var rect = reference.getBoundingClientRect();\n            var x = clientX;\n            var y = clientY;\n\n            if (followCursor === 'initial') {\n              x = rect.left + relativeX;\n              y = rect.top + relativeY;\n            }\n\n            var top = followCursor === 'horizontal' ? rect.top : y;\n            var right = followCursor === 'vertical' ? rect.right : x;\n            var bottom = followCursor === 'horizontal' ? rect.bottom : y;\n            var left = followCursor === 'vertical' ? rect.left : x;\n            return {\n              width: right - left,\n              height: bottom - top,\n              top: top,\n              right: right,\n              bottom: bottom,\n              left: left\n            };\n          }\n        });\n      }\n    }\n\n    function create() {\n      if (instance.props.followCursor) {\n        activeInstances.push({\n          instance: instance,\n          doc: doc\n        });\n        addMouseCoordsListener(doc);\n      }\n    }\n\n    function destroy() {\n      activeInstances = activeInstances.filter(function (data) {\n        return data.instance !== instance;\n      });\n\n      if (activeInstances.filter(function (data) {\n        return data.doc === doc;\n      }).length === 0) {\n        removeMouseCoordsListener(doc);\n      }\n    }\n\n    return {\n      onCreate: create,\n      onDestroy: destroy,\n      onBeforeUpdate: function onBeforeUpdate() {\n        prevProps = instance.props;\n      },\n      onAfterUpdate: function onAfterUpdate(_, _ref2) {\n        var followCursor = _ref2.followCursor;\n\n        if (isInternalUpdate) {\n          return;\n        }\n\n        if (followCursor !== undefined && prevProps.followCursor !== followCursor) {\n          destroy();\n\n          if (followCursor) {\n            create();\n\n            if (instance.state.isMounted && !wasFocusEvent && !getIsInitialBehavior()) {\n              addListener();\n            }\n          } else {\n            removeListener();\n            unsetGetReferenceClientRect();\n          }\n        }\n      },\n      onMount: function onMount() {\n        if (instance.props.followCursor && !wasFocusEvent) {\n          if (isUnmounted) {\n            onMouseMove(mouseCoords);\n            isUnmounted = false;\n          }\n\n          if (!getIsInitialBehavior()) {\n            addListener();\n          }\n        }\n      },\n      onTrigger: function onTrigger(_, event) {\n        if (isMouseEvent(event)) {\n          mouseCoords = {\n            clientX: event.clientX,\n            clientY: event.clientY\n          };\n        }\n\n        wasFocusEvent = event.type === 'focus';\n      },\n      onHidden: function onHidden() {\n        if (instance.props.followCursor) {\n          unsetGetReferenceClientRect();\n          removeListener();\n          isUnmounted = true;\n        }\n      }\n    };\n  }\n};\n\nfunction getProps(props, modifier) {\n  var _props$popperOptions;\n\n  return {\n    popperOptions: Object.assign({}, props.popperOptions, {\n      modifiers: [].concat((((_props$popperOptions = props.popperOptions) == null ? void 0 : _props$popperOptions.modifiers) || []).filter(function (_ref) {\n        var name = _ref.name;\n        return name !== modifier.name;\n      }), [modifier])\n    })\n  };\n}\n\nvar inlinePositioning = {\n  name: 'inlinePositioning',\n  defaultValue: false,\n  fn: function fn(instance) {\n    var reference = instance.reference;\n\n    function isEnabled() {\n      return !!instance.props.inlinePositioning;\n    }\n\n    var placement;\n    var cursorRectIndex = -1;\n    var isInternalUpdate = false;\n    var triedPlacements = [];\n    var modifier = {\n      name: 'tippyInlinePositioning',\n      enabled: true,\n      phase: 'afterWrite',\n      fn: function fn(_ref2) {\n        var state = _ref2.state;\n\n        if (isEnabled()) {\n          if (triedPlacements.indexOf(state.placement) !== -1) {\n            triedPlacements = [];\n          }\n\n          if (placement !== state.placement && triedPlacements.indexOf(state.placement) === -1) {\n            triedPlacements.push(state.placement);\n            instance.setProps({\n              // @ts-ignore - unneeded DOMRect properties\n              getReferenceClientRect: function getReferenceClientRect() {\n                return _getReferenceClientRect(state.placement);\n              }\n            });\n          }\n\n          placement = state.placement;\n        }\n      }\n    };\n\n    function _getReferenceClientRect(placement) {\n      return getInlineBoundingClientRect(getBasePlacement(placement), reference.getBoundingClientRect(), arrayFrom(reference.getClientRects()), cursorRectIndex);\n    }\n\n    function setInternalProps(partialProps) {\n      isInternalUpdate = true;\n      instance.setProps(partialProps);\n      isInternalUpdate = false;\n    }\n\n    function addModifier() {\n      if (!isInternalUpdate) {\n        setInternalProps(getProps(instance.props, modifier));\n      }\n    }\n\n    return {\n      onCreate: addModifier,\n      onAfterUpdate: addModifier,\n      onTrigger: function onTrigger(_, event) {\n        if (isMouseEvent(event)) {\n          var rects = arrayFrom(instance.reference.getClientRects());\n          var cursorRect = rects.find(function (rect) {\n            return rect.left - 2 <= event.clientX && rect.right + 2 >= event.clientX && rect.top - 2 <= event.clientY && rect.bottom + 2 >= event.clientY;\n          });\n          var index = rects.indexOf(cursorRect);\n          cursorRectIndex = index > -1 ? index : cursorRectIndex;\n        }\n      },\n      onHidden: function onHidden() {\n        cursorRectIndex = -1;\n      }\n    };\n  }\n};\nfunction getInlineBoundingClientRect(currentBasePlacement, boundingRect, clientRects, cursorRectIndex) {\n  // Not an inline element, or placement is not yet known\n  if (clientRects.length < 2 || currentBasePlacement === null) {\n    return boundingRect;\n  } // There are two rects and they are disjoined\n\n\n  if (clientRects.length === 2 && cursorRectIndex >= 0 && clientRects[0].left > clientRects[1].right) {\n    return clientRects[cursorRectIndex] || boundingRect;\n  }\n\n  switch (currentBasePlacement) {\n    case 'top':\n    case 'bottom':\n      {\n        var firstRect = clientRects[0];\n        var lastRect = clientRects[clientRects.length - 1];\n        var isTop = currentBasePlacement === 'top';\n        var top = firstRect.top;\n        var bottom = lastRect.bottom;\n        var left = isTop ? firstRect.left : lastRect.left;\n        var right = isTop ? firstRect.right : lastRect.right;\n        var width = right - left;\n        var height = bottom - top;\n        return {\n          top: top,\n          bottom: bottom,\n          left: left,\n          right: right,\n          width: width,\n          height: height\n        };\n      }\n\n    case 'left':\n    case 'right':\n      {\n        var minLeft = Math.min.apply(Math, clientRects.map(function (rects) {\n          return rects.left;\n        }));\n        var maxRight = Math.max.apply(Math, clientRects.map(function (rects) {\n          return rects.right;\n        }));\n        var measureRects = clientRects.filter(function (rect) {\n          return currentBasePlacement === 'left' ? rect.left === minLeft : rect.right === maxRight;\n        });\n        var _top = measureRects[0].top;\n        var _bottom = measureRects[measureRects.length - 1].bottom;\n        var _left = minLeft;\n        var _right = maxRight;\n\n        var _width = _right - _left;\n\n        var _height = _bottom - _top;\n\n        return {\n          top: _top,\n          bottom: _bottom,\n          left: _left,\n          right: _right,\n          width: _width,\n          height: _height\n        };\n      }\n\n    default:\n      {\n        return boundingRect;\n      }\n  }\n}\n\nvar sticky = {\n  name: 'sticky',\n  defaultValue: false,\n  fn: function fn(instance) {\n    var reference = instance.reference,\n        popper = instance.popper;\n\n    function getReference() {\n      return instance.popperInstance ? instance.popperInstance.state.elements.reference : reference;\n    }\n\n    function shouldCheck(value) {\n      return instance.props.sticky === true || instance.props.sticky === value;\n    }\n\n    var prevRefRect = null;\n    var prevPopRect = null;\n\n    function updatePosition() {\n      var currentRefRect = shouldCheck('reference') ? getReference().getBoundingClientRect() : null;\n      var currentPopRect = shouldCheck('popper') ? popper.getBoundingClientRect() : null;\n\n      if (currentRefRect && areRectsDifferent(prevRefRect, currentRefRect) || currentPopRect && areRectsDifferent(prevPopRect, currentPopRect)) {\n        if (instance.popperInstance) {\n          instance.popperInstance.update();\n        }\n      }\n\n      prevRefRect = currentRefRect;\n      prevPopRect = currentPopRect;\n\n      if (instance.state.isMounted) {\n        requestAnimationFrame(updatePosition);\n      }\n    }\n\n    return {\n      onMount: function onMount() {\n        if (instance.props.sticky) {\n          updatePosition();\n        }\n      }\n    };\n  }\n};\n\nfunction areRectsDifferent(rectA, rectB) {\n  if (rectA && rectB) {\n    return rectA.top !== rectB.top || rectA.right !== rectB.right || rectA.bottom !== rectB.bottom || rectA.left !== rectB.left;\n  }\n\n  return true;\n}\n\ntippy.setDefaultProps({\n  render: render\n});\n\nexport default tippy;\nexport { animateFill, createSingleton, delegate, followCursor, hideAll, inlinePositioning, ROUND_ARROW as roundArrow, sticky };\n//# sourceMappingURL=tippy.esm.js.map\n","import { isTextSelection, isNodeSelection, posToDOMRect, Extension } from '@tiptap/core';\nimport { Plugin, PluginKey } from '@tiptap/pm/state';\nimport tippy from 'tippy.js';\n\nclass BubbleMenuView {\r\n    constructor({ editor, element, view, tippyOptions = {}, updateDelay = 250, shouldShow, }) {\r\n        this.preventHide = false;\r\n        this.shouldShow = ({ view, state, from, to, }) => {\r\n            const { doc, selection } = state;\r\n            const { empty } = selection;\r\n            // Sometime check for `empty` is not enough.\r\n            // Doubleclick an empty paragraph returns a node size of 2.\r\n            // So we check also for an empty text size.\r\n            const isEmptyTextBlock = !doc.textBetween(from, to).length && isTextSelection(state.selection);\r\n            // When clicking on a element inside the bubble menu the editor \"blur\" event\r\n            // is called and the bubble menu item is focussed. In this case we should\r\n            // consider the menu as part of the editor and keep showing the menu\r\n            const isChildOfMenu = this.element.contains(document.activeElement);\r\n            const hasEditorFocus = view.hasFocus() || isChildOfMenu;\r\n            if (!hasEditorFocus || empty || isEmptyTextBlock || !this.editor.isEditable) {\r\n                return false;\r\n            }\r\n            return true;\r\n        };\r\n        this.mousedownHandler = () => {\r\n            this.preventHide = true;\r\n        };\r\n        this.dragstartHandler = () => {\r\n            this.hide();\r\n        };\r\n        this.focusHandler = () => {\r\n            // we use `setTimeout` to make sure `selection` is already updated\r\n            setTimeout(() => this.update(this.editor.view));\r\n        };\r\n        this.blurHandler = ({ event }) => {\r\n            var _a;\r\n            if (this.preventHide) {\r\n                this.preventHide = false;\r\n                return;\r\n            }\r\n            if ((event === null || event === void 0 ? void 0 : event.relatedTarget) && ((_a = this.element.parentNode) === null || _a === void 0 ? void 0 : _a.contains(event.relatedTarget))) {\r\n                return;\r\n            }\r\n            this.hide();\r\n        };\r\n        this.tippyBlurHandler = (event) => {\r\n            this.blurHandler({ event });\r\n        };\r\n        this.handleDebouncedUpdate = (view, oldState) => {\r\n            const selectionChanged = !(oldState === null || oldState === void 0 ? void 0 : oldState.selection.eq(view.state.selection));\r\n            const docChanged = !(oldState === null || oldState === void 0 ? void 0 : oldState.doc.eq(view.state.doc));\r\n            if (!selectionChanged && !docChanged) {\r\n                return;\r\n            }\r\n            if (this.updateDebounceTimer) {\r\n                clearTimeout(this.updateDebounceTimer);\r\n            }\r\n            this.updateDebounceTimer = window.setTimeout(() => {\r\n                this.updateHandler(view, selectionChanged, docChanged, oldState);\r\n            }, this.updateDelay);\r\n        };\r\n        this.updateHandler = (view, selectionChanged, docChanged, oldState) => {\r\n            var _a, _b, _c;\r\n            const { state, composing } = view;\r\n            const { selection } = state;\r\n            const isSame = !selectionChanged && !docChanged;\r\n            if (composing || isSame) {\r\n                return;\r\n            }\r\n            this.createTooltip();\r\n            // support for CellSelections\r\n            const { ranges } = selection;\r\n            const from = Math.min(...ranges.map(range => range.$from.pos));\r\n            const to = Math.max(...ranges.map(range => range.$to.pos));\r\n            const shouldShow = (_a = this.shouldShow) === null || _a === void 0 ? void 0 : _a.call(this, {\r\n                editor: this.editor,\r\n                view,\r\n                state,\r\n                oldState,\r\n                from,\r\n                to,\r\n            });\r\n            if (!shouldShow) {\r\n                this.hide();\r\n                return;\r\n            }\r\n            (_b = this.tippy) === null || _b === void 0 ? void 0 : _b.setProps({\r\n                getReferenceClientRect: ((_c = this.tippyOptions) === null || _c === void 0 ? void 0 : _c.getReferenceClientRect)\r\n                    || (() => {\r\n                        if (isNodeSelection(state.selection)) {\r\n                            let node = view.nodeDOM(from);\r\n                            const nodeViewWrapper = node.dataset.nodeViewWrapper ? node : node.querySelector('[data-node-view-wrapper]');\r\n                            if (nodeViewWrapper) {\r\n                                node = nodeViewWrapper.firstChild;\r\n                            }\r\n                            if (node) {\r\n                                return node.getBoundingClientRect();\r\n                            }\r\n                        }\r\n                        return posToDOMRect(view, from, to);\r\n                    }),\r\n            });\r\n            this.show();\r\n        };\r\n        this.editor = editor;\r\n        this.element = element;\r\n        this.view = view;\r\n        this.updateDelay = updateDelay;\r\n        if (shouldShow) {\r\n            this.shouldShow = shouldShow;\r\n        }\r\n        this.element.addEventListener('mousedown', this.mousedownHandler, { capture: true });\r\n        this.view.dom.addEventListener('dragstart', this.dragstartHandler);\r\n        this.editor.on('focus', this.focusHandler);\r\n        this.editor.on('blur', this.blurHandler);\r\n        this.tippyOptions = tippyOptions;\r\n        // Detaches menu content from its current parent\r\n        this.element.remove();\r\n        this.element.style.visibility = 'visible';\r\n    }\r\n    createTooltip() {\r\n        const { element: editorElement } = this.editor.options;\r\n        const editorIsAttached = !!editorElement.parentElement;\r\n        if (this.tippy || !editorIsAttached) {\r\n            return;\r\n        }\r\n        this.tippy = tippy(editorElement, {\r\n            duration: 0,\r\n            getReferenceClientRect: null,\r\n            content: this.element,\r\n            interactive: true,\r\n            trigger: 'manual',\r\n            placement: 'top',\r\n            hideOnClick: 'toggle',\r\n            ...this.tippyOptions,\r\n        });\r\n        // maybe we have to hide tippy on its own blur event as well\r\n        if (this.tippy.popper.firstChild) {\r\n            this.tippy.popper.firstChild.addEventListener('blur', this.tippyBlurHandler);\r\n        }\r\n    }\r\n    update(view, oldState) {\r\n        const { state } = view;\r\n        const hasValidSelection = state.selection.$from.pos !== state.selection.$to.pos;\r\n        if (this.updateDelay > 0 && hasValidSelection) {\r\n            this.handleDebouncedUpdate(view, oldState);\r\n            return;\r\n        }\r\n        const selectionChanged = !(oldState === null || oldState === void 0 ? void 0 : oldState.selection.eq(view.state.selection));\r\n        const docChanged = !(oldState === null || oldState === void 0 ? void 0 : oldState.doc.eq(view.state.doc));\r\n        this.updateHandler(view, selectionChanged, docChanged, oldState);\r\n    }\r\n    show() {\r\n        var _a;\r\n        (_a = this.tippy) === null || _a === void 0 ? void 0 : _a.show();\r\n    }\r\n    hide() {\r\n        var _a;\r\n        (_a = this.tippy) === null || _a === void 0 ? void 0 : _a.hide();\r\n    }\r\n    destroy() {\r\n        var _a, _b;\r\n        if ((_a = this.tippy) === null || _a === void 0 ? void 0 : _a.popper.firstChild) {\r\n            this.tippy.popper.firstChild.removeEventListener('blur', this.tippyBlurHandler);\r\n        }\r\n        (_b = this.tippy) === null || _b === void 0 ? void 0 : _b.destroy();\r\n        this.element.removeEventListener('mousedown', this.mousedownHandler, { capture: true });\r\n        this.view.dom.removeEventListener('dragstart', this.dragstartHandler);\r\n        this.editor.off('focus', this.focusHandler);\r\n        this.editor.off('blur', this.blurHandler);\r\n    }\r\n}\r\nconst BubbleMenuPlugin = (options) => {\r\n    return new Plugin({\r\n        key: typeof options.pluginKey === 'string' ? new PluginKey(options.pluginKey) : options.pluginKey,\r\n        view: view => new BubbleMenuView({ view, ...options }),\r\n    });\r\n};\n\nconst BubbleMenu = Extension.create({\r\n    name: 'bubbleMenu',\r\n    addOptions() {\r\n        return {\r\n            element: null,\r\n            tippyOptions: {},\r\n            pluginKey: 'bubbleMenu',\r\n            updateDelay: undefined,\r\n            shouldShow: null,\r\n        };\r\n    },\r\n    addProseMirrorPlugins() {\r\n        if (!this.options.element) {\r\n            return [];\r\n        }\r\n        return [\r\n            BubbleMenuPlugin({\r\n                pluginKey: this.options.pluginKey,\r\n                editor: this.editor,\r\n                element: this.options.element,\r\n                tippyOptions: this.options.tippyOptions,\r\n                updateDelay: this.options.updateDelay,\r\n                shouldShow: this.options.shouldShow,\r\n            }),\r\n        ];\r\n    },\r\n});\n\nexport { BubbleMenu, BubbleMenuPlugin, BubbleMenuView, BubbleMenu as default };\n//# sourceMappingURL=index.js.map\n","import { posToDOMRect, Extension } from '@tiptap/core';\nimport { Plugin, PluginKey } from '@tiptap/pm/state';\nimport tippy from 'tippy.js';\n\nclass FloatingMenuView {\r\n    constructor({ editor, element, view, tippyOptions = {}, shouldShow, }) {\r\n        this.preventHide = false;\r\n        this.shouldShow = ({ view, state }) => {\r\n            const { selection } = state;\r\n            const { $anchor, empty } = selection;\r\n            const isRootDepth = $anchor.depth === 1;\r\n            const isEmptyTextBlock = $anchor.parent.isTextblock && !$anchor.parent.type.spec.code && !$anchor.parent.textContent;\r\n            if (!view.hasFocus()\r\n                || !empty\r\n                || !isRootDepth\r\n                || !isEmptyTextBlock\r\n                || !this.editor.isEditable) {\r\n                return false;\r\n            }\r\n            return true;\r\n        };\r\n        this.mousedownHandler = () => {\r\n            this.preventHide = true;\r\n        };\r\n        this.focusHandler = () => {\r\n            // we use `setTimeout` to make sure `selection` is already updated\r\n            setTimeout(() => this.update(this.editor.view));\r\n        };\r\n        this.blurHandler = ({ event }) => {\r\n            var _a;\r\n            if (this.preventHide) {\r\n                this.preventHide = false;\r\n                return;\r\n            }\r\n            if ((event === null || event === void 0 ? void 0 : event.relatedTarget) && ((_a = this.element.parentNode) === null || _a === void 0 ? void 0 : _a.contains(event.relatedTarget))) {\r\n                return;\r\n            }\r\n            this.hide();\r\n        };\r\n        this.tippyBlurHandler = (event) => {\r\n            this.blurHandler({ event });\r\n        };\r\n        this.editor = editor;\r\n        this.element = element;\r\n        this.view = view;\r\n        if (shouldShow) {\r\n            this.shouldShow = shouldShow;\r\n        }\r\n        this.element.addEventListener('mousedown', this.mousedownHandler, { capture: true });\r\n        this.editor.on('focus', this.focusHandler);\r\n        this.editor.on('blur', this.blurHandler);\r\n        this.tippyOptions = tippyOptions;\r\n        // Detaches menu content from its current parent\r\n        this.element.remove();\r\n        this.element.style.visibility = 'visible';\r\n    }\r\n    createTooltip() {\r\n        const { element: editorElement } = this.editor.options;\r\n        const editorIsAttached = !!editorElement.parentElement;\r\n        if (this.tippy || !editorIsAttached) {\r\n            return;\r\n        }\r\n        this.tippy = tippy(editorElement, {\r\n            duration: 0,\r\n            getReferenceClientRect: null,\r\n            content: this.element,\r\n            interactive: true,\r\n            trigger: 'manual',\r\n            placement: 'right',\r\n            hideOnClick: 'toggle',\r\n            ...this.tippyOptions,\r\n        });\r\n        // maybe we have to hide tippy on its own blur event as well\r\n        if (this.tippy.popper.firstChild) {\r\n            this.tippy.popper.firstChild.addEventListener('blur', this.tippyBlurHandler);\r\n        }\r\n    }\r\n    update(view, oldState) {\r\n        var _a, _b, _c;\r\n        const { state } = view;\r\n        const { doc, selection } = state;\r\n        const { from, to } = selection;\r\n        const isSame = oldState && oldState.doc.eq(doc) && oldState.selection.eq(selection);\r\n        if (isSame) {\r\n            return;\r\n        }\r\n        this.createTooltip();\r\n        const shouldShow = (_a = this.shouldShow) === null || _a === void 0 ? void 0 : _a.call(this, {\r\n            editor: this.editor,\r\n            view,\r\n            state,\r\n            oldState,\r\n        });\r\n        if (!shouldShow) {\r\n            this.hide();\r\n            return;\r\n        }\r\n        (_b = this.tippy) === null || _b === void 0 ? void 0 : _b.setProps({\r\n            getReferenceClientRect: ((_c = this.tippyOptions) === null || _c === void 0 ? void 0 : _c.getReferenceClientRect) || (() => posToDOMRect(view, from, to)),\r\n        });\r\n        this.show();\r\n    }\r\n    show() {\r\n        var _a;\r\n        (_a = this.tippy) === null || _a === void 0 ? void 0 : _a.show();\r\n    }\r\n    hide() {\r\n        var _a;\r\n        (_a = this.tippy) === null || _a === void 0 ? void 0 : _a.hide();\r\n    }\r\n    destroy() {\r\n        var _a, _b;\r\n        if ((_a = this.tippy) === null || _a === void 0 ? void 0 : _a.popper.firstChild) {\r\n            this.tippy.popper.firstChild.removeEventListener('blur', this.tippyBlurHandler);\r\n        }\r\n        (_b = this.tippy) === null || _b === void 0 ? void 0 : _b.destroy();\r\n        this.element.removeEventListener('mousedown', this.mousedownHandler, { capture: true });\r\n        this.editor.off('focus', this.focusHandler);\r\n        this.editor.off('blur', this.blurHandler);\r\n    }\r\n}\r\nconst FloatingMenuPlugin = (options) => {\r\n    return new Plugin({\r\n        key: typeof options.pluginKey === 'string' ? new PluginKey(options.pluginKey) : options.pluginKey,\r\n        view: view => new FloatingMenuView({ view, ...options }),\r\n    });\r\n};\n\nconst FloatingMenu = Extension.create({\r\n    name: 'floatingMenu',\r\n    addOptions() {\r\n        return {\r\n            element: null,\r\n            tippyOptions: {},\r\n            pluginKey: 'floatingMenu',\r\n            shouldShow: null,\r\n        };\r\n    },\r\n    addProseMirrorPlugins() {\r\n        if (!this.options.element) {\r\n            return [];\r\n        }\r\n        return [\r\n            FloatingMenuPlugin({\r\n                pluginKey: this.options.pluginKey,\r\n                editor: this.editor,\r\n                element: this.options.element,\r\n                tippyOptions: this.options.tippyOptions,\r\n                shouldShow: this.options.shouldShow,\r\n            }),\r\n        ];\r\n    },\r\n});\n\nexport { FloatingMenu, FloatingMenuPlugin, FloatingMenuView, FloatingMenu as default };\n//# sourceMappingURL=index.js.map\n","import { BubbleMenuPlugin } from '@tiptap/extension-bubble-menu';\nimport { Editor as Editor$1, NodeView } from '@tiptap/core';\nexport * from '@tiptap/core';\nimport { FloatingMenuPlugin } from '@tiptap/extension-floating-menu';\nimport Vue from 'vue';\nimport { objectProp, booleanProp, functionProp } from 'vue-ts-types';\n\nconst BubbleMenu = {\r\n    name: 'BubbleMenu',\r\n    props: {\r\n        pluginKey: {\r\n            type: [String, Object],\r\n            default: 'bubbleMenu',\r\n        },\r\n        editor: {\r\n            type: Object,\r\n            required: true,\r\n        },\r\n        updateDelay: {\r\n            type: Number,\r\n        },\r\n        tippyOptions: {\r\n            type: Object,\r\n            default: () => ({}),\r\n        },\r\n        shouldShow: {\r\n            type: Function,\r\n            default: null,\r\n        },\r\n    },\r\n    watch: {\r\n        editor: {\r\n            immediate: true,\r\n            handler(editor) {\r\n                if (!editor) {\r\n                    return;\r\n                }\r\n                this.$nextTick(() => {\r\n                    editor.registerPlugin(BubbleMenuPlugin({\r\n                        updateDelay: this.updateDelay,\r\n                        editor,\r\n                        element: this.$el,\r\n                        pluginKey: this.pluginKey,\r\n                        shouldShow: this.shouldShow,\r\n                        tippyOptions: this.tippyOptions,\r\n                    }));\r\n                });\r\n            },\r\n        },\r\n    },\r\n    render(createElement) {\r\n        return createElement('div', { style: { visibility: 'hidden' } }, this.$slots.default);\r\n    },\r\n    beforeDestroy() {\r\n        this.editor.unregisterPlugin(this.pluginKey);\r\n    },\r\n};\n\nclass Editor extends Editor$1 {\r\n    constructor() {\r\n        super(...arguments);\r\n        this.contentComponent = null;\r\n    }\r\n}\n\nconst EditorContent = {\r\n    name: 'EditorContent',\r\n    props: {\r\n        editor: {\r\n            default: null,\r\n            type: Object,\r\n        },\r\n    },\r\n    watch: {\r\n        editor: {\r\n            immediate: true,\r\n            handler(editor) {\r\n                if (editor && editor.options.element) {\r\n                    this.$nextTick(() => {\r\n                        const element = this.$el;\r\n                        if (!element || !editor.options.element.firstChild) {\r\n                            return;\r\n                        }\r\n                        element.append(...editor.options.element.childNodes);\r\n                        editor.contentComponent = this;\r\n                        editor.setOptions({\r\n                            element,\r\n                        });\r\n                        editor.createNodeViews();\r\n                    });\r\n                }\r\n            },\r\n        },\r\n    },\r\n    render(createElement) {\r\n        return createElement('div');\r\n    },\r\n    beforeDestroy() {\r\n        const { editor } = this;\r\n        if (!editor) {\r\n            return;\r\n        }\r\n        if (!editor.isDestroyed) {\r\n            editor.view.setProps({\r\n                nodeViews: {},\r\n            });\r\n        }\r\n        editor.contentComponent = null;\r\n        if (!editor.options.element.firstChild) {\r\n            return;\r\n        }\r\n        const newElement = document.createElement('div');\r\n        newElement.append(...editor.options.element.childNodes);\r\n        editor.setOptions({\r\n            element: newElement,\r\n        });\r\n    },\r\n};\n\nconst FloatingMenu = {\r\n    name: 'FloatingMenu',\r\n    props: {\r\n        pluginKey: {\r\n            type: [String, Object],\r\n            default: 'floatingMenu',\r\n        },\r\n        editor: {\r\n            type: Object,\r\n            required: true,\r\n        },\r\n        tippyOptions: {\r\n            type: Object,\r\n            default: () => ({}),\r\n        },\r\n        shouldShow: {\r\n            type: Function,\r\n            default: null,\r\n        },\r\n    },\r\n    watch: {\r\n        editor: {\r\n            immediate: true,\r\n            handler(editor) {\r\n                if (!editor) {\r\n                    return;\r\n                }\r\n                this.$nextTick(() => {\r\n                    editor.registerPlugin(FloatingMenuPlugin({\r\n                        pluginKey: this.pluginKey,\r\n                        editor,\r\n                        element: this.$el,\r\n                        tippyOptions: this.tippyOptions,\r\n                        shouldShow: this.shouldShow,\r\n                    }));\r\n                });\r\n            },\r\n        },\r\n    },\r\n    render(createElement) {\r\n        return createElement('div', { style: { visibility: 'hidden' } }, this.$slots.default);\r\n    },\r\n    beforeDestroy() {\r\n        this.editor.unregisterPlugin(this.pluginKey);\r\n    },\r\n};\n\nconst NodeViewContent = {\r\n    props: {\r\n        as: {\r\n            type: String,\r\n            default: 'div',\r\n        },\r\n    },\r\n    render(createElement) {\r\n        return createElement(this.as, {\r\n            style: {\r\n                whiteSpace: 'pre-wrap',\r\n            },\r\n            attrs: {\r\n                'data-node-view-content': '',\r\n            },\r\n        });\r\n    },\r\n};\n\nconst NodeViewWrapper = {\r\n    props: {\r\n        as: {\r\n            type: String,\r\n            default: 'div',\r\n        },\r\n    },\r\n    inject: ['onDragStart', 'decorationClasses'],\r\n    render(createElement) {\r\n        return createElement(this.as, {\r\n            class: this.decorationClasses.value,\r\n            style: {\r\n                whiteSpace: 'normal',\r\n            },\r\n            attrs: {\r\n                'data-node-view-wrapper': '',\r\n            },\r\n            on: {\r\n                dragstart: this.onDragStart,\r\n            },\r\n        }, this.$slots.default);\r\n    },\r\n};\n\nclass VueRenderer {\r\n    constructor(component, props) {\r\n        const Component = (typeof component === 'function') ? component : Vue.extend(component);\r\n        this.ref = new Component(props).$mount();\r\n    }\r\n    get element() {\r\n        return this.ref.$el;\r\n    }\r\n    updateProps(props = {}) {\r\n        var _a, _b, _c;\r\n        if (!this.ref.$props) {\r\n            return;\r\n        }\r\n        // prevents `Avoid mutating a prop directly` error message\r\n        // Fix: `VueNodeViewRenderer` change vue Constructor `config.silent` not working\r\n        const currentVueConstructor = (_c = (_b = (_a = this.ref.$props.editor) === null || _a === void 0 ? void 0 : _a.contentComponent) === null || _b === void 0 ? void 0 : _b.$options._base) !== null && _c !== void 0 ? _c : Vue; // eslint-disable-line\r\n        const originalSilent = currentVueConstructor.config.silent;\r\n        currentVueConstructor.config.silent = true;\r\n        Object\r\n            .entries(props)\r\n            .forEach(([key, value]) => {\r\n            this.ref.$props[key] = value;\r\n        });\r\n        currentVueConstructor.config.silent = originalSilent;\r\n    }\r\n    destroy() {\r\n        this.ref.$destroy();\r\n    }\r\n}\n\nconst nodeViewProps = {\r\n    editor: objectProp().required,\r\n    node: objectProp().required,\r\n    decorations: objectProp().required,\r\n    selected: booleanProp().required,\r\n    extension: objectProp().required,\r\n    getPos: functionProp().required,\r\n    updateAttributes: functionProp().required,\r\n    deleteNode: functionProp().required,\r\n};\r\nclass VueNodeView extends NodeView {\r\n    mount() {\r\n        var _a, _b;\r\n        const props = {\r\n            editor: this.editor,\r\n            node: this.node,\r\n            decorations: this.decorations,\r\n            selected: false,\r\n            extension: this.extension,\r\n            getPos: () => this.getPos(),\r\n            updateAttributes: (attributes = {}) => this.updateAttributes(attributes),\r\n            deleteNode: () => this.deleteNode(),\r\n        };\r\n        const onDragStart = this.onDragStart.bind(this);\r\n        this.decorationClasses = Vue.observable({\r\n            value: this.getDecorationClasses(),\r\n        });\r\n        // @ts-ignore\r\n        const vue = (_b = (_a = this.editor.contentComponent) === null || _a === void 0 ? void 0 : _a.$options._base) !== null && _b !== void 0 ? _b : Vue; // eslint-disable-line\r\n        const Component = vue.extend(this.component).extend({\r\n            props: Object.keys(props),\r\n            provide: () => {\r\n                return {\r\n                    onDragStart,\r\n                    decorationClasses: this.decorationClasses,\r\n                };\r\n            },\r\n        });\r\n        this.renderer = new VueRenderer(Component, {\r\n            parent: this.editor.contentComponent,\r\n            propsData: props,\r\n        });\r\n    }\r\n    get dom() {\r\n        if (!this.renderer.element.hasAttribute('data-node-view-wrapper')) {\r\n            throw Error('Please use the NodeViewWrapper component for your node view.');\r\n        }\r\n        return this.renderer.element;\r\n    }\r\n    get contentDOM() {\r\n        if (this.node.isLeaf) {\r\n            return null;\r\n        }\r\n        const contentElement = this.dom.querySelector('[data-node-view-content]');\r\n        return (contentElement || this.dom);\r\n    }\r\n    update(node, decorations) {\r\n        const updateProps = (props) => {\r\n            this.decorationClasses.value = this.getDecorationClasses();\r\n            this.renderer.updateProps(props);\r\n        };\r\n        if (typeof this.options.update === 'function') {\r\n            const oldNode = this.node;\r\n            const oldDecorations = this.decorations;\r\n            this.node = node;\r\n            this.decorations = decorations;\r\n            return this.options.update({\r\n                oldNode,\r\n                oldDecorations,\r\n                newNode: node,\r\n                newDecorations: decorations,\r\n                updateProps: () => updateProps({ node, decorations }),\r\n            });\r\n        }\r\n        if (node.type !== this.node.type) {\r\n            return false;\r\n        }\r\n        if (node === this.node && this.decorations === decorations) {\r\n            return true;\r\n        }\r\n        this.node = node;\r\n        this.decorations = decorations;\r\n        updateProps({ node, decorations });\r\n        return true;\r\n    }\r\n    selectNode() {\r\n        this.renderer.updateProps({\r\n            selected: true,\r\n        });\r\n        this.renderer.element.classList.add('ProseMirror-selectednode');\r\n    }\r\n    deselectNode() {\r\n        this.renderer.updateProps({\r\n            selected: false,\r\n        });\r\n        this.renderer.element.classList.remove('ProseMirror-selectednode');\r\n    }\r\n    getDecorationClasses() {\r\n        return (this.decorations\r\n            // @ts-ignore\r\n            .map(item => item.type.attrs.class)\r\n            .flat()\r\n            .join(' '));\r\n    }\r\n    destroy() {\r\n        this.renderer.destroy();\r\n    }\r\n}\r\nfunction VueNodeViewRenderer(component, options) {\r\n    return (props) => {\r\n        // try to get the parent component\r\n        // this is important for vue devtools to show the component hierarchy correctly\r\n        // maybe it’s `undefined` because <editor-content> isn’t rendered yet\r\n        if (!props.editor.contentComponent) {\r\n            return {};\r\n        }\r\n        return new VueNodeView(component, props, options);\r\n    };\r\n}\n\nexport { BubbleMenu, Editor, EditorContent, FloatingMenu, NodeViewContent, NodeViewWrapper, VueNodeViewRenderer, VueRenderer, nodeViewProps };\n//# sourceMappingURL=index.js.map\n","import { Node, mergeAttributes, wrappingInputRule } from '@tiptap/core';\n\nconst inputRegex = /^\\s*>\\s$/;\r\nconst Blockquote = Node.create({\r\n    name: 'blockquote',\r\n    addOptions() {\r\n        return {\r\n            HTMLAttributes: {},\r\n        };\r\n    },\r\n    content: 'block+',\r\n    group: 'block',\r\n    defining: true,\r\n    parseHTML() {\r\n        return [\r\n            { tag: 'blockquote' },\r\n        ];\r\n    },\r\n    renderHTML({ HTMLAttributes }) {\r\n        return ['blockquote', mergeAttributes(this.options.HTMLAttributes, HTMLAttributes), 0];\r\n    },\r\n    addCommands() {\r\n        return {\r\n            setBlockquote: () => ({ commands }) => {\r\n                return commands.wrapIn(this.name);\r\n            },\r\n            toggleBlockquote: () => ({ commands }) => {\r\n                return commands.toggleWrap(this.name);\r\n            },\r\n            unsetBlockquote: () => ({ commands }) => {\r\n                return commands.lift(this.name);\r\n            },\r\n        };\r\n    },\r\n    addKeyboardShortcuts() {\r\n        return {\r\n            'Mod-Shift-b': () => this.editor.commands.toggleBlockquote(),\r\n        };\r\n    },\r\n    addInputRules() {\r\n        return [\r\n            wrappingInputRule({\r\n                find: inputRegex,\r\n                type: this.type,\r\n            }),\r\n        ];\r\n    },\r\n});\n\nexport { Blockquote, Blockquote as default, inputRegex };\n//# sourceMappingURL=index.js.map\n","import { Mark, mergeAttributes, markInputRule, markPasteRule } from '@tiptap/core';\n\nconst starInputRegex = /(?:^|\\s)(\\*\\*(?!\\s+\\*\\*)((?:[^*]+))\\*\\*(?!\\s+\\*\\*))$/;\r\nconst starPasteRegex = /(?:^|\\s)(\\*\\*(?!\\s+\\*\\*)((?:[^*]+))\\*\\*(?!\\s+\\*\\*))/g;\r\nconst underscoreInputRegex = /(?:^|\\s)(__(?!\\s+__)((?:[^_]+))__(?!\\s+__))$/;\r\nconst underscorePasteRegex = /(?:^|\\s)(__(?!\\s+__)((?:[^_]+))__(?!\\s+__))/g;\r\nconst Bold = Mark.create({\r\n    name: 'bold',\r\n    addOptions() {\r\n        return {\r\n            HTMLAttributes: {},\r\n        };\r\n    },\r\n    parseHTML() {\r\n        return [\r\n            {\r\n                tag: 'strong',\r\n            },\r\n            {\r\n                tag: 'b',\r\n                getAttrs: node => node.style.fontWeight !== 'normal' && null,\r\n            },\r\n            {\r\n                style: 'font-weight',\r\n                getAttrs: value => /^(bold(er)?|[5-9]\\d{2,})$/.test(value) && null,\r\n            },\r\n        ];\r\n    },\r\n    renderHTML({ HTMLAttributes }) {\r\n        return ['strong', mergeAttributes(this.options.HTMLAttributes, HTMLAttributes), 0];\r\n    },\r\n    addCommands() {\r\n        return {\r\n            setBold: () => ({ commands }) => {\r\n                return commands.setMark(this.name);\r\n            },\r\n            toggleBold: () => ({ commands }) => {\r\n                return commands.toggleMark(this.name);\r\n            },\r\n            unsetBold: () => ({ commands }) => {\r\n                return commands.unsetMark(this.name);\r\n            },\r\n        };\r\n    },\r\n    addKeyboardShortcuts() {\r\n        return {\r\n            'Mod-b': () => this.editor.commands.toggleBold(),\r\n            'Mod-B': () => this.editor.commands.toggleBold(),\r\n        };\r\n    },\r\n    addInputRules() {\r\n        return [\r\n            markInputRule({\r\n                find: starInputRegex,\r\n                type: this.type,\r\n            }),\r\n            markInputRule({\r\n                find: underscoreInputRegex,\r\n                type: this.type,\r\n            }),\r\n        ];\r\n    },\r\n    addPasteRules() {\r\n        return [\r\n            markPasteRule({\r\n                find: starPasteRegex,\r\n                type: this.type,\r\n            }),\r\n            markPasteRule({\r\n                find: underscorePasteRegex,\r\n                type: this.type,\r\n            }),\r\n        ];\r\n    },\r\n});\n\nexport { Bold, Bold as default, starInputRegex, starPasteRegex, underscoreInputRegex, underscorePasteRegex };\n//# sourceMappingURL=index.js.map\n","import { Node, mergeAttributes, Mark, getMarkAttributes, wrappingInputRule } from '@tiptap/core';\n\nconst ListItem = Node.create({\r\n    name: 'listItem',\r\n    addOptions() {\r\n        return {\r\n            HTMLAttributes: {},\r\n            bulletListTypeName: 'bulletList',\r\n            orderedListTypeName: 'orderedList',\r\n        };\r\n    },\r\n    content: 'paragraph block*',\r\n    defining: true,\r\n    parseHTML() {\r\n        return [\r\n            {\r\n                tag: 'li',\r\n            },\r\n        ];\r\n    },\r\n    renderHTML({ HTMLAttributes }) {\r\n        return ['li', mergeAttributes(this.options.HTMLAttributes, HTMLAttributes), 0];\r\n    },\r\n    addKeyboardShortcuts() {\r\n        return {\r\n            Enter: () => this.editor.commands.splitListItem(this.name),\r\n            Tab: () => this.editor.commands.sinkListItem(this.name),\r\n            'Shift-Tab': () => this.editor.commands.liftListItem(this.name),\r\n        };\r\n    },\r\n});\n\nconst TextStyle = Mark.create({\r\n    name: 'textStyle',\r\n    addOptions() {\r\n        return {\r\n            HTMLAttributes: {},\r\n        };\r\n    },\r\n    parseHTML() {\r\n        return [\r\n            {\r\n                tag: 'span',\r\n                getAttrs: element => {\r\n                    const hasStyles = element.hasAttribute('style');\r\n                    if (!hasStyles) {\r\n                        return false;\r\n                    }\r\n                    return {};\r\n                },\r\n            },\r\n        ];\r\n    },\r\n    renderHTML({ HTMLAttributes }) {\r\n        return ['span', mergeAttributes(this.options.HTMLAttributes, HTMLAttributes), 0];\r\n    },\r\n    addCommands() {\r\n        return {\r\n            removeEmptyTextStyle: () => ({ state, commands }) => {\r\n                const attributes = getMarkAttributes(state, this.type);\r\n                const hasStyles = Object.entries(attributes).some(([, value]) => !!value);\r\n                if (hasStyles) {\r\n                    return true;\r\n                }\r\n                return commands.unsetMark(this.name);\r\n            },\r\n        };\r\n    },\r\n});\n\nconst inputRegex = /^\\s*([-+*])\\s$/;\r\nconst BulletList = Node.create({\r\n    name: 'bulletList',\r\n    addOptions() {\r\n        return {\r\n            itemTypeName: 'listItem',\r\n            HTMLAttributes: {},\r\n            keepMarks: false,\r\n            keepAttributes: false,\r\n        };\r\n    },\r\n    group: 'block list',\r\n    content() {\r\n        return `${this.options.itemTypeName}+`;\r\n    },\r\n    parseHTML() {\r\n        return [\r\n            { tag: 'ul' },\r\n        ];\r\n    },\r\n    renderHTML({ HTMLAttributes }) {\r\n        return ['ul', mergeAttributes(this.options.HTMLAttributes, HTMLAttributes), 0];\r\n    },\r\n    addCommands() {\r\n        return {\r\n            toggleBulletList: () => ({ commands, chain }) => {\r\n                if (this.options.keepAttributes) {\r\n                    return chain().toggleList(this.name, this.options.itemTypeName, this.options.keepMarks).updateAttributes(ListItem.name, this.editor.getAttributes(TextStyle.name)).run();\r\n                }\r\n                return commands.toggleList(this.name, this.options.itemTypeName, this.options.keepMarks);\r\n            },\r\n        };\r\n    },\r\n    addKeyboardShortcuts() {\r\n        return {\r\n            'Mod-Shift-8': () => this.editor.commands.toggleBulletList(),\r\n        };\r\n    },\r\n    addInputRules() {\r\n        let inputRule = wrappingInputRule({\r\n            find: inputRegex,\r\n            type: this.type,\r\n        });\r\n        if (this.options.keepMarks || this.options.keepAttributes) {\r\n            inputRule = wrappingInputRule({\r\n                find: inputRegex,\r\n                type: this.type,\r\n                keepMarks: this.options.keepMarks,\r\n                keepAttributes: this.options.keepAttributes,\r\n                getAttributes: () => { return this.editor.getAttributes(TextStyle.name); },\r\n                editor: this.editor,\r\n            });\r\n        }\r\n        return [\r\n            inputRule,\r\n        ];\r\n    },\r\n});\n\nexport { BulletList, BulletList as default, inputRegex };\n//# sourceMappingURL=index.js.map\n","import { Mark, mergeAttributes, markInputRule, markPasteRule } from '@tiptap/core';\n\nconst inputRegex = /(?:^|\\s)(`(?!\\s+`)((?:[^`]+))`(?!\\s+`))$/;\r\nconst pasteRegex = /(?:^|\\s)(`(?!\\s+`)((?:[^`]+))`(?!\\s+`))/g;\r\nconst Code = Mark.create({\r\n    name: 'code',\r\n    addOptions() {\r\n        return {\r\n            HTMLAttributes: {},\r\n        };\r\n    },\r\n    excludes: '_',\r\n    code: true,\r\n    exitable: true,\r\n    parseHTML() {\r\n        return [\r\n            { tag: 'code' },\r\n        ];\r\n    },\r\n    renderHTML({ HTMLAttributes }) {\r\n        return ['code', mergeAttributes(this.options.HTMLAttributes, HTMLAttributes), 0];\r\n    },\r\n    addCommands() {\r\n        return {\r\n            setCode: () => ({ commands }) => {\r\n                return commands.setMark(this.name);\r\n            },\r\n            toggleCode: () => ({ commands }) => {\r\n                return commands.toggleMark(this.name);\r\n            },\r\n            unsetCode: () => ({ commands }) => {\r\n                return commands.unsetMark(this.name);\r\n            },\r\n        };\r\n    },\r\n    addKeyboardShortcuts() {\r\n        return {\r\n            'Mod-e': () => this.editor.commands.toggleCode(),\r\n        };\r\n    },\r\n    addInputRules() {\r\n        return [\r\n            markInputRule({\r\n                find: inputRegex,\r\n                type: this.type,\r\n            }),\r\n        ];\r\n    },\r\n    addPasteRules() {\r\n        return [\r\n            markPasteRule({\r\n                find: pasteRegex,\r\n                type: this.type,\r\n            }),\r\n        ];\r\n    },\r\n});\n\nexport { Code, Code as default, inputRegex, pasteRegex };\n//# sourceMappingURL=index.js.map\n","import { Node, mergeAttributes, textblockTypeInputRule } from '@tiptap/core';\nimport { Plugin, PluginKey, TextSelection } from '@tiptap/pm/state';\n\nconst backtickInputRegex = /^```([a-z]+)?[\\s\\n]$/;\r\nconst tildeInputRegex = /^~~~([a-z]+)?[\\s\\n]$/;\r\nconst CodeBlock = Node.create({\r\n    name: 'codeBlock',\r\n    addOptions() {\r\n        return {\r\n            languageClassPrefix: 'language-',\r\n            exitOnTripleEnter: true,\r\n            exitOnArrowDown: true,\r\n            HTMLAttributes: {},\r\n        };\r\n    },\r\n    content: 'text*',\r\n    marks: '',\r\n    group: 'block',\r\n    code: true,\r\n    defining: true,\r\n    addAttributes() {\r\n        return {\r\n            language: {\r\n                default: null,\r\n                parseHTML: element => {\r\n                    var _a;\r\n                    const { languageClassPrefix } = this.options;\r\n                    const classNames = [...(((_a = element.firstElementChild) === null || _a === void 0 ? void 0 : _a.classList) || [])];\r\n                    const languages = classNames\r\n                        .filter(className => className.startsWith(languageClassPrefix))\r\n                        .map(className => className.replace(languageClassPrefix, ''));\r\n                    const language = languages[0];\r\n                    if (!language) {\r\n                        return null;\r\n                    }\r\n                    return language;\r\n                },\r\n                rendered: false,\r\n            },\r\n        };\r\n    },\r\n    parseHTML() {\r\n        return [\r\n            {\r\n                tag: 'pre',\r\n                preserveWhitespace: 'full',\r\n            },\r\n        ];\r\n    },\r\n    renderHTML({ node, HTMLAttributes }) {\r\n        return [\r\n            'pre',\r\n            mergeAttributes(this.options.HTMLAttributes, HTMLAttributes),\r\n            [\r\n                'code',\r\n                {\r\n                    class: node.attrs.language\r\n                        ? this.options.languageClassPrefix + node.attrs.language\r\n                        : null,\r\n                },\r\n                0,\r\n            ],\r\n        ];\r\n    },\r\n    addCommands() {\r\n        return {\r\n            setCodeBlock: attributes => ({ commands }) => {\r\n                return commands.setNode(this.name, attributes);\r\n            },\r\n            toggleCodeBlock: attributes => ({ commands }) => {\r\n                return commands.toggleNode(this.name, 'paragraph', attributes);\r\n            },\r\n        };\r\n    },\r\n    addKeyboardShortcuts() {\r\n        return {\r\n            'Mod-Alt-c': () => this.editor.commands.toggleCodeBlock(),\r\n            // remove code block when at start of document or code block is empty\r\n            Backspace: () => {\r\n                const { empty, $anchor } = this.editor.state.selection;\r\n                const isAtStart = $anchor.pos === 1;\r\n                if (!empty || $anchor.parent.type.name !== this.name) {\r\n                    return false;\r\n                }\r\n                if (isAtStart || !$anchor.parent.textContent.length) {\r\n                    return this.editor.commands.clearNodes();\r\n                }\r\n                return false;\r\n            },\r\n            // exit node on triple enter\r\n            Enter: ({ editor }) => {\r\n                if (!this.options.exitOnTripleEnter) {\r\n                    return false;\r\n                }\r\n                const { state } = editor;\r\n                const { selection } = state;\r\n                const { $from, empty } = selection;\r\n                if (!empty || $from.parent.type !== this.type) {\r\n                    return false;\r\n                }\r\n                const isAtEnd = $from.parentOffset === $from.parent.nodeSize - 2;\r\n                const endsWithDoubleNewline = $from.parent.textContent.endsWith('\\n\\n');\r\n                if (!isAtEnd || !endsWithDoubleNewline) {\r\n                    return false;\r\n                }\r\n                return editor\r\n                    .chain()\r\n                    .command(({ tr }) => {\r\n                    tr.delete($from.pos - 2, $from.pos);\r\n                    return true;\r\n                })\r\n                    .exitCode()\r\n                    .run();\r\n            },\r\n            // exit node on arrow down\r\n            ArrowDown: ({ editor }) => {\r\n                if (!this.options.exitOnArrowDown) {\r\n                    return false;\r\n                }\r\n                const { state } = editor;\r\n                const { selection, doc } = state;\r\n                const { $from, empty } = selection;\r\n                if (!empty || $from.parent.type !== this.type) {\r\n                    return false;\r\n                }\r\n                const isAtEnd = $from.parentOffset === $from.parent.nodeSize - 2;\r\n                if (!isAtEnd) {\r\n                    return false;\r\n                }\r\n                const after = $from.after();\r\n                if (after === undefined) {\r\n                    return false;\r\n                }\r\n                const nodeAfter = doc.nodeAt(after);\r\n                if (nodeAfter) {\r\n                    return false;\r\n                }\r\n                return editor.commands.exitCode();\r\n            },\r\n        };\r\n    },\r\n    addInputRules() {\r\n        return [\r\n            textblockTypeInputRule({\r\n                find: backtickInputRegex,\r\n                type: this.type,\r\n                getAttributes: match => ({\r\n                    language: match[1],\r\n                }),\r\n            }),\r\n            textblockTypeInputRule({\r\n                find: tildeInputRegex,\r\n                type: this.type,\r\n                getAttributes: match => ({\r\n                    language: match[1],\r\n                }),\r\n            }),\r\n        ];\r\n    },\r\n    addProseMirrorPlugins() {\r\n        return [\r\n            // this plugin creates a code block for pasted content from VS Code\r\n            // we can also detect the copied code language\r\n            new Plugin({\r\n                key: new PluginKey('codeBlockVSCodeHandler'),\r\n                props: {\r\n                    handlePaste: (view, event) => {\r\n                        if (!event.clipboardData) {\r\n                            return false;\r\n                        }\r\n                        // don’t create a new code block within code blocks\r\n                        if (this.editor.isActive(this.type.name)) {\r\n                            return false;\r\n                        }\r\n                        const text = event.clipboardData.getData('text/plain');\r\n                        const vscode = event.clipboardData.getData('vscode-editor-data');\r\n                        const vscodeData = vscode ? JSON.parse(vscode) : undefined;\r\n                        const language = vscodeData === null || vscodeData === void 0 ? void 0 : vscodeData.mode;\r\n                        if (!text || !language) {\r\n                            return false;\r\n                        }\r\n                        const { tr } = view.state;\r\n                        // create an empty code block\r\n                        tr.replaceSelectionWith(this.type.create({ language }));\r\n                        // put cursor inside the newly created code block\r\n                        tr.setSelection(TextSelection.near(tr.doc.resolve(Math.max(0, tr.selection.from - 2))));\r\n                        // add text to code block\r\n                        // strip carriage return chars from text pasted as code\r\n                        // see: https://github.com/ProseMirror/prosemirror-view/commit/a50a6bcceb4ce52ac8fcc6162488d8875613aacd\r\n                        tr.insertText(text.replace(/\\r\\n?/g, '\\n'));\r\n                        // store meta information\r\n                        // this is useful for other plugins that depends on the paste event\r\n                        // like the paste rule plugin\r\n                        tr.setMeta('paste', true);\r\n                        view.dispatch(tr);\r\n                        return true;\r\n                    },\r\n                },\r\n            }),\r\n        ];\r\n    },\r\n});\n\nexport { CodeBlock, backtickInputRegex, CodeBlock as default, tildeInputRegex };\n//# sourceMappingURL=index.js.map\n","import { Node } from '@tiptap/core';\n\nconst Document = Node.create({\r\n    name: 'doc',\r\n    topNode: true,\r\n    content: 'block+',\r\n});\n\nexport { Document, Document as default };\n//# sourceMappingURL=index.js.map\n","import { Plugin } from 'prosemirror-state';\nimport { dropPoint } from 'prosemirror-transform';\n\n/**\nCreate a plugin that, when added to a ProseMirror instance,\ncauses a decoration to show up at the drop position when something\nis dragged over the editor.\n\nNodes may add a `disableDropCursor` property to their spec to\ncontrol the showing of a drop cursor inside them. This may be a\nboolean or a function, which will be called with a view and a\nposition, and should return a boolean.\n*/\nfunction dropCursor(options = {}) {\n    return new Plugin({\n        view(editorView) { return new DropCursorView(editorView, options); }\n    });\n}\nclass DropCursorView {\n    constructor(editorView, options) {\n        var _a;\n        this.editorView = editorView;\n        this.cursorPos = null;\n        this.element = null;\n        this.timeout = -1;\n        this.width = (_a = options.width) !== null && _a !== void 0 ? _a : 1;\n        this.color = options.color === false ? undefined : (options.color || \"black\");\n        this.class = options.class;\n        this.handlers = [\"dragover\", \"dragend\", \"drop\", \"dragleave\"].map(name => {\n            let handler = (e) => { this[name](e); };\n            editorView.dom.addEventListener(name, handler);\n            return { name, handler };\n        });\n    }\n    destroy() {\n        this.handlers.forEach(({ name, handler }) => this.editorView.dom.removeEventListener(name, handler));\n    }\n    update(editorView, prevState) {\n        if (this.cursorPos != null && prevState.doc != editorView.state.doc) {\n            if (this.cursorPos > editorView.state.doc.content.size)\n                this.setCursor(null);\n            else\n                this.updateOverlay();\n        }\n    }\n    setCursor(pos) {\n        if (pos == this.cursorPos)\n            return;\n        this.cursorPos = pos;\n        if (pos == null) {\n            this.element.parentNode.removeChild(this.element);\n            this.element = null;\n        }\n        else {\n            this.updateOverlay();\n        }\n    }\n    updateOverlay() {\n        let $pos = this.editorView.state.doc.resolve(this.cursorPos);\n        let isBlock = !$pos.parent.inlineContent, rect;\n        if (isBlock) {\n            let before = $pos.nodeBefore, after = $pos.nodeAfter;\n            if (before || after) {\n                let node = this.editorView.nodeDOM(this.cursorPos - (before ? before.nodeSize : 0));\n                if (node) {\n                    let nodeRect = node.getBoundingClientRect();\n                    let top = before ? nodeRect.bottom : nodeRect.top;\n                    if (before && after)\n                        top = (top + this.editorView.nodeDOM(this.cursorPos).getBoundingClientRect().top) / 2;\n                    rect = { left: nodeRect.left, right: nodeRect.right, top: top - this.width / 2, bottom: top + this.width / 2 };\n                }\n            }\n        }\n        if (!rect) {\n            let coords = this.editorView.coordsAtPos(this.cursorPos);\n            rect = { left: coords.left - this.width / 2, right: coords.left + this.width / 2, top: coords.top, bottom: coords.bottom };\n        }\n        let parent = this.editorView.dom.offsetParent;\n        if (!this.element) {\n            this.element = parent.appendChild(document.createElement(\"div\"));\n            if (this.class)\n                this.element.className = this.class;\n            this.element.style.cssText = \"position: absolute; z-index: 50; pointer-events: none;\";\n            if (this.color) {\n                this.element.style.backgroundColor = this.color;\n            }\n        }\n        this.element.classList.toggle(\"prosemirror-dropcursor-block\", isBlock);\n        this.element.classList.toggle(\"prosemirror-dropcursor-inline\", !isBlock);\n        let parentLeft, parentTop;\n        if (!parent || parent == document.body && getComputedStyle(parent).position == \"static\") {\n            parentLeft = -pageXOffset;\n            parentTop = -pageYOffset;\n        }\n        else {\n            let rect = parent.getBoundingClientRect();\n            parentLeft = rect.left - parent.scrollLeft;\n            parentTop = rect.top - parent.scrollTop;\n        }\n        this.element.style.left = (rect.left - parentLeft) + \"px\";\n        this.element.style.top = (rect.top - parentTop) + \"px\";\n        this.element.style.width = (rect.right - rect.left) + \"px\";\n        this.element.style.height = (rect.bottom - rect.top) + \"px\";\n    }\n    scheduleRemoval(timeout) {\n        clearTimeout(this.timeout);\n        this.timeout = setTimeout(() => this.setCursor(null), timeout);\n    }\n    dragover(event) {\n        if (!this.editorView.editable)\n            return;\n        let pos = this.editorView.posAtCoords({ left: event.clientX, top: event.clientY });\n        let node = pos && pos.inside >= 0 && this.editorView.state.doc.nodeAt(pos.inside);\n        let disableDropCursor = node && node.type.spec.disableDropCursor;\n        let disabled = typeof disableDropCursor == \"function\" ? disableDropCursor(this.editorView, pos, event) : disableDropCursor;\n        if (pos && !disabled) {\n            let target = pos.pos;\n            if (this.editorView.dragging && this.editorView.dragging.slice) {\n                let point = dropPoint(this.editorView.state.doc, target, this.editorView.dragging.slice);\n                if (point != null)\n                    target = point;\n            }\n            this.setCursor(target);\n            this.scheduleRemoval(5000);\n        }\n    }\n    dragend() {\n        this.scheduleRemoval(20);\n    }\n    drop() {\n        this.scheduleRemoval(20);\n    }\n    dragleave(event) {\n        if (event.target == this.editorView.dom || !this.editorView.dom.contains(event.relatedTarget))\n            this.setCursor(null);\n    }\n}\n\nexport { dropCursor };\n","import { Extension } from '@tiptap/core';\nimport { dropCursor } from '@tiptap/pm/dropcursor';\n\nconst Dropcursor = Extension.create({\r\n    name: 'dropCursor',\r\n    addOptions() {\r\n        return {\r\n            color: 'currentColor',\r\n            width: 1,\r\n            class: undefined,\r\n        };\r\n    },\r\n    addProseMirrorPlugins() {\r\n        return [\r\n            dropCursor(this.options),\r\n        ];\r\n    },\r\n});\n\nexport { Dropcursor, Dropcursor as default };\n//# sourceMappingURL=index.js.map\n","import { keydownHandler } from 'prosemirror-keymap';\nimport { Selection, NodeSelection, TextSelection, Plugin } from 'prosemirror-state';\nimport { Slice, Fragment } from 'prosemirror-model';\nimport { DecorationSet, Decoration } from 'prosemirror-view';\n\n/**\nGap cursor selections are represented using this class. Its\n`$anchor` and `$head` properties both point at the cursor position.\n*/\nclass GapCursor extends Selection {\n    /**\n    Create a gap cursor.\n    */\n    constructor($pos) {\n        super($pos, $pos);\n    }\n    map(doc, mapping) {\n        let $pos = doc.resolve(mapping.map(this.head));\n        return GapCursor.valid($pos) ? new GapCursor($pos) : Selection.near($pos);\n    }\n    content() { return Slice.empty; }\n    eq(other) {\n        return other instanceof GapCursor && other.head == this.head;\n    }\n    toJSON() {\n        return { type: \"gapcursor\", pos: this.head };\n    }\n    /**\n    @internal\n    */\n    static fromJSON(doc, json) {\n        if (typeof json.pos != \"number\")\n            throw new RangeError(\"Invalid input for GapCursor.fromJSON\");\n        return new GapCursor(doc.resolve(json.pos));\n    }\n    /**\n    @internal\n    */\n    getBookmark() { return new GapBookmark(this.anchor); }\n    /**\n    @internal\n    */\n    static valid($pos) {\n        let parent = $pos.parent;\n        if (parent.isTextblock || !closedBefore($pos) || !closedAfter($pos))\n            return false;\n        let override = parent.type.spec.allowGapCursor;\n        if (override != null)\n            return override;\n        let deflt = parent.contentMatchAt($pos.index()).defaultType;\n        return deflt && deflt.isTextblock;\n    }\n    /**\n    @internal\n    */\n    static findGapCursorFrom($pos, dir, mustMove = false) {\n        search: for (;;) {\n            if (!mustMove && GapCursor.valid($pos))\n                return $pos;\n            let pos = $pos.pos, next = null;\n            // Scan up from this position\n            for (let d = $pos.depth;; d--) {\n                let parent = $pos.node(d);\n                if (dir > 0 ? $pos.indexAfter(d) < parent.childCount : $pos.index(d) > 0) {\n                    next = parent.child(dir > 0 ? $pos.indexAfter(d) : $pos.index(d) - 1);\n                    break;\n                }\n                else if (d == 0) {\n                    return null;\n                }\n                pos += dir;\n                let $cur = $pos.doc.resolve(pos);\n                if (GapCursor.valid($cur))\n                    return $cur;\n            }\n            // And then down into the next node\n            for (;;) {\n                let inside = dir > 0 ? next.firstChild : next.lastChild;\n                if (!inside) {\n                    if (next.isAtom && !next.isText && !NodeSelection.isSelectable(next)) {\n                        $pos = $pos.doc.resolve(pos + next.nodeSize * dir);\n                        mustMove = false;\n                        continue search;\n                    }\n                    break;\n                }\n                next = inside;\n                pos += dir;\n                let $cur = $pos.doc.resolve(pos);\n                if (GapCursor.valid($cur))\n                    return $cur;\n            }\n            return null;\n        }\n    }\n}\nGapCursor.prototype.visible = false;\nGapCursor.findFrom = GapCursor.findGapCursorFrom;\nSelection.jsonID(\"gapcursor\", GapCursor);\nclass GapBookmark {\n    constructor(pos) {\n        this.pos = pos;\n    }\n    map(mapping) {\n        return new GapBookmark(mapping.map(this.pos));\n    }\n    resolve(doc) {\n        let $pos = doc.resolve(this.pos);\n        return GapCursor.valid($pos) ? new GapCursor($pos) : Selection.near($pos);\n    }\n}\nfunction closedBefore($pos) {\n    for (let d = $pos.depth; d >= 0; d--) {\n        let index = $pos.index(d), parent = $pos.node(d);\n        // At the start of this parent, look at next one\n        if (index == 0) {\n            if (parent.type.spec.isolating)\n                return true;\n            continue;\n        }\n        // See if the node before (or its first ancestor) is closed\n        for (let before = parent.child(index - 1);; before = before.lastChild) {\n            if ((before.childCount == 0 && !before.inlineContent) || before.isAtom || before.type.spec.isolating)\n                return true;\n            if (before.inlineContent)\n                return false;\n        }\n    }\n    // Hit start of document\n    return true;\n}\nfunction closedAfter($pos) {\n    for (let d = $pos.depth; d >= 0; d--) {\n        let index = $pos.indexAfter(d), parent = $pos.node(d);\n        if (index == parent.childCount) {\n            if (parent.type.spec.isolating)\n                return true;\n            continue;\n        }\n        for (let after = parent.child(index);; after = after.firstChild) {\n            if ((after.childCount == 0 && !after.inlineContent) || after.isAtom || after.type.spec.isolating)\n                return true;\n            if (after.inlineContent)\n                return false;\n        }\n    }\n    return true;\n}\n\n/**\nCreate a gap cursor plugin. When enabled, this will capture clicks\nnear and arrow-key-motion past places that don't have a normally\nselectable position nearby, and create a gap cursor selection for\nthem. The cursor is drawn as an element with class\n`ProseMirror-gapcursor`. You can either include\n`style/gapcursor.css` from the package's directory or add your own\nstyles to make it visible.\n*/\nfunction gapCursor() {\n    return new Plugin({\n        props: {\n            decorations: drawGapCursor,\n            createSelectionBetween(_view, $anchor, $head) {\n                return $anchor.pos == $head.pos && GapCursor.valid($head) ? new GapCursor($head) : null;\n            },\n            handleClick,\n            handleKeyDown,\n            handleDOMEvents: { beforeinput: beforeinput }\n        }\n    });\n}\nconst handleKeyDown = keydownHandler({\n    \"ArrowLeft\": arrow(\"horiz\", -1),\n    \"ArrowRight\": arrow(\"horiz\", 1),\n    \"ArrowUp\": arrow(\"vert\", -1),\n    \"ArrowDown\": arrow(\"vert\", 1)\n});\nfunction arrow(axis, dir) {\n    const dirStr = axis == \"vert\" ? (dir > 0 ? \"down\" : \"up\") : (dir > 0 ? \"right\" : \"left\");\n    return function (state, dispatch, view) {\n        let sel = state.selection;\n        let $start = dir > 0 ? sel.$to : sel.$from, mustMove = sel.empty;\n        if (sel instanceof TextSelection) {\n            if (!view.endOfTextblock(dirStr) || $start.depth == 0)\n                return false;\n            mustMove = false;\n            $start = state.doc.resolve(dir > 0 ? $start.after() : $start.before());\n        }\n        let $found = GapCursor.findGapCursorFrom($start, dir, mustMove);\n        if (!$found)\n            return false;\n        if (dispatch)\n            dispatch(state.tr.setSelection(new GapCursor($found)));\n        return true;\n    };\n}\nfunction handleClick(view, pos, event) {\n    if (!view || !view.editable)\n        return false;\n    let $pos = view.state.doc.resolve(pos);\n    if (!GapCursor.valid($pos))\n        return false;\n    let clickPos = view.posAtCoords({ left: event.clientX, top: event.clientY });\n    if (clickPos && clickPos.inside > -1 && NodeSelection.isSelectable(view.state.doc.nodeAt(clickPos.inside)))\n        return false;\n    view.dispatch(view.state.tr.setSelection(new GapCursor($pos)));\n    return true;\n}\n// This is a hack that, when a composition starts while a gap cursor\n// is active, quickly creates an inline context for the composition to\n// happen in, to avoid it being aborted by the DOM selection being\n// moved into a valid position.\nfunction beforeinput(view, event) {\n    if (event.inputType != \"insertCompositionText\" || !(view.state.selection instanceof GapCursor))\n        return false;\n    let { $from } = view.state.selection;\n    let insert = $from.parent.contentMatchAt($from.index()).findWrapping(view.state.schema.nodes.text);\n    if (!insert)\n        return false;\n    let frag = Fragment.empty;\n    for (let i = insert.length - 1; i >= 0; i--)\n        frag = Fragment.from(insert[i].createAndFill(null, frag));\n    let tr = view.state.tr.replace($from.pos, $from.pos, new Slice(frag, 0, 0));\n    tr.setSelection(TextSelection.near(tr.doc.resolve($from.pos + 1)));\n    view.dispatch(tr);\n    return false;\n}\nfunction drawGapCursor(state) {\n    if (!(state.selection instanceof GapCursor))\n        return null;\n    let node = document.createElement(\"div\");\n    node.className = \"ProseMirror-gapcursor\";\n    return DecorationSet.create(state.doc, [Decoration.widget(state.selection.head, node, { key: \"gapcursor\" })]);\n}\n\nexport { GapCursor, gapCursor };\n","import { Extension, callOrReturn, getExtensionField } from '@tiptap/core';\nimport { gapCursor } from '@tiptap/pm/gapcursor';\n\nconst Gapcursor = Extension.create({\r\n    name: 'gapCursor',\r\n    addProseMirrorPlugins() {\r\n        return [\r\n            gapCursor(),\r\n        ];\r\n    },\r\n    extendNodeSchema(extension) {\r\n        var _a;\r\n        const context = {\r\n            name: extension.name,\r\n            options: extension.options,\r\n            storage: extension.storage,\r\n        };\r\n        return {\r\n            allowGapCursor: (_a = callOrReturn(getExtensionField(extension, 'allowGapCursor', context))) !== null && _a !== void 0 ? _a : null,\r\n        };\r\n    },\r\n});\n\nexport { Gapcursor, Gapcursor as default };\n//# sourceMappingURL=index.js.map\n","import { Node, mergeAttributes } from '@tiptap/core';\n\nconst HardBreak = Node.create({\r\n    name: 'hardBreak',\r\n    addOptions() {\r\n        return {\r\n            keepMarks: true,\r\n            HTMLAttributes: {},\r\n        };\r\n    },\r\n    inline: true,\r\n    group: 'inline',\r\n    selectable: false,\r\n    parseHTML() {\r\n        return [\r\n            { tag: 'br' },\r\n        ];\r\n    },\r\n    renderHTML({ HTMLAttributes }) {\r\n        return ['br', mergeAttributes(this.options.HTMLAttributes, HTMLAttributes)];\r\n    },\r\n    renderText() {\r\n        return '\\n';\r\n    },\r\n    addCommands() {\r\n        return {\r\n            setHardBreak: () => ({ commands, chain, state, editor, }) => {\r\n                return commands.first([\r\n                    () => commands.exitCode(),\r\n                    () => commands.command(() => {\r\n                        const { selection, storedMarks } = state;\r\n                        if (selection.$from.parent.type.spec.isolating) {\r\n                            return false;\r\n                        }\r\n                        const { keepMarks } = this.options;\r\n                        const { splittableMarks } = editor.extensionManager;\r\n                        const marks = storedMarks\r\n                            || (selection.$to.parentOffset && selection.$from.marks());\r\n                        return chain()\r\n                            .insertContent({ type: this.name })\r\n                            .command(({ tr, dispatch }) => {\r\n                            if (dispatch && marks && keepMarks) {\r\n                                const filteredMarks = marks\r\n                                    .filter(mark => splittableMarks.includes(mark.type.name));\r\n                                tr.ensureMarks(filteredMarks);\r\n                            }\r\n                            return true;\r\n                        })\r\n                            .run();\r\n                    }),\r\n                ]);\r\n            },\r\n        };\r\n    },\r\n    addKeyboardShortcuts() {\r\n        return {\r\n            'Mod-Enter': () => this.editor.commands.setHardBreak(),\r\n            'Shift-Enter': () => this.editor.commands.setHardBreak(),\r\n        };\r\n    },\r\n});\n\nexport { HardBreak, HardBreak as default };\n//# sourceMappingURL=index.js.map\n","import { Node, mergeAttributes, textblockTypeInputRule } from '@tiptap/core';\n\nconst Heading = Node.create({\r\n    name: 'heading',\r\n    addOptions() {\r\n        return {\r\n            levels: [1, 2, 3, 4, 5, 6],\r\n            HTMLAttributes: {},\r\n        };\r\n    },\r\n    content: 'inline*',\r\n    group: 'block',\r\n    defining: true,\r\n    addAttributes() {\r\n        return {\r\n            level: {\r\n                default: 1,\r\n                rendered: false,\r\n            },\r\n        };\r\n    },\r\n    parseHTML() {\r\n        return this.options.levels\r\n            .map((level) => ({\r\n            tag: `h${level}`,\r\n            attrs: { level },\r\n        }));\r\n    },\r\n    renderHTML({ node, HTMLAttributes }) {\r\n        const hasLevel = this.options.levels.includes(node.attrs.level);\r\n        const level = hasLevel\r\n            ? node.attrs.level\r\n            : this.options.levels[0];\r\n        return [`h${level}`, mergeAttributes(this.options.HTMLAttributes, HTMLAttributes), 0];\r\n    },\r\n    addCommands() {\r\n        return {\r\n            setHeading: attributes => ({ commands }) => {\r\n                if (!this.options.levels.includes(attributes.level)) {\r\n                    return false;\r\n                }\r\n                return commands.setNode(this.name, attributes);\r\n            },\r\n            toggleHeading: attributes => ({ commands }) => {\r\n                if (!this.options.levels.includes(attributes.level)) {\r\n                    return false;\r\n                }\r\n                return commands.toggleNode(this.name, 'paragraph', attributes);\r\n            },\r\n        };\r\n    },\r\n    addKeyboardShortcuts() {\r\n        return this.options.levels.reduce((items, level) => ({\r\n            ...items,\r\n            ...{\r\n                [`Mod-Alt-${level}`]: () => this.editor.commands.toggleHeading({ level }),\r\n            },\r\n        }), {});\r\n    },\r\n    addInputRules() {\r\n        return this.options.levels.map(level => {\r\n            return textblockTypeInputRule({\r\n                find: new RegExp(`^(#{1,${level}})\\\\s$`),\r\n                type: this.type,\r\n                getAttributes: {\r\n                    level,\r\n                },\r\n            });\r\n        });\r\n    },\r\n});\n\nexport { Heading, Heading as default };\n//# sourceMappingURL=index.js.map\n","var GOOD_LEAF_SIZE = 200;\n\n// :: class<T> A rope sequence is a persistent sequence data structure\n// that supports appending, prepending, and slicing without doing a\n// full copy. It is represented as a mostly-balanced tree.\nvar RopeSequence = function RopeSequence () {};\n\nRopeSequence.prototype.append = function append (other) {\n  if (!other.length) { return this }\n  other = RopeSequence.from(other);\n\n  return (!this.length && other) ||\n    (other.length < GOOD_LEAF_SIZE && this.leafAppend(other)) ||\n    (this.length < GOOD_LEAF_SIZE && other.leafPrepend(this)) ||\n    this.appendInner(other)\n};\n\n// :: (union<[T], RopeSequence<T>>) → RopeSequence<T>\n// Prepend an array or other rope to this one, returning a new rope.\nRopeSequence.prototype.prepend = function prepend (other) {\n  if (!other.length) { return this }\n  return RopeSequence.from(other).append(this)\n};\n\nRopeSequence.prototype.appendInner = function appendInner (other) {\n  return new Append(this, other)\n};\n\n// :: (?number, ?number) → RopeSequence<T>\n// Create a rope repesenting a sub-sequence of this rope.\nRopeSequence.prototype.slice = function slice (from, to) {\n    if ( from === void 0 ) from = 0;\n    if ( to === void 0 ) to = this.length;\n\n  if (from >= to) { return RopeSequence.empty }\n  return this.sliceInner(Math.max(0, from), Math.min(this.length, to))\n};\n\n// :: (number) → T\n// Retrieve the element at the given position from this rope.\nRopeSequence.prototype.get = function get (i) {\n  if (i < 0 || i >= this.length) { return undefined }\n  return this.getInner(i)\n};\n\n// :: ((element: T, index: number) → ?bool, ?number, ?number)\n// Call the given function for each element between the given\n// indices. This tends to be more efficient than looping over the\n// indices and calling `get`, because it doesn't have to descend the\n// tree for every element.\nRopeSequence.prototype.forEach = function forEach (f, from, to) {\n    if ( from === void 0 ) from = 0;\n    if ( to === void 0 ) to = this.length;\n\n  if (from <= to)\n    { this.forEachInner(f, from, to, 0); }\n  else\n    { this.forEachInvertedInner(f, from, to, 0); }\n};\n\n// :: ((element: T, index: number) → U, ?number, ?number) → [U]\n// Map the given functions over the elements of the rope, producing\n// a flat array.\nRopeSequence.prototype.map = function map (f, from, to) {\n    if ( from === void 0 ) from = 0;\n    if ( to === void 0 ) to = this.length;\n\n  var result = [];\n  this.forEach(function (elt, i) { return result.push(f(elt, i)); }, from, to);\n  return result\n};\n\n// :: (?union<[T], RopeSequence<T>>) → RopeSequence<T>\n// Create a rope representing the given array, or return the rope\n// itself if a rope was given.\nRopeSequence.from = function from (values) {\n  if (values instanceof RopeSequence) { return values }\n  return values && values.length ? new Leaf(values) : RopeSequence.empty\n};\n\nvar Leaf = /*@__PURE__*/(function (RopeSequence) {\n  function Leaf(values) {\n    RopeSequence.call(this);\n    this.values = values;\n  }\n\n  if ( RopeSequence ) Leaf.__proto__ = RopeSequence;\n  Leaf.prototype = Object.create( RopeSequence && RopeSequence.prototype );\n  Leaf.prototype.constructor = Leaf;\n\n  var prototypeAccessors = { length: { configurable: true },depth: { configurable: true } };\n\n  Leaf.prototype.flatten = function flatten () {\n    return this.values\n  };\n\n  Leaf.prototype.sliceInner = function sliceInner (from, to) {\n    if (from == 0 && to == this.length) { return this }\n    return new Leaf(this.values.slice(from, to))\n  };\n\n  Leaf.prototype.getInner = function getInner (i) {\n    return this.values[i]\n  };\n\n  Leaf.prototype.forEachInner = function forEachInner (f, from, to, start) {\n    for (var i = from; i < to; i++)\n      { if (f(this.values[i], start + i) === false) { return false } }\n  };\n\n  Leaf.prototype.forEachInvertedInner = function forEachInvertedInner (f, from, to, start) {\n    for (var i = from - 1; i >= to; i--)\n      { if (f(this.values[i], start + i) === false) { return false } }\n  };\n\n  Leaf.prototype.leafAppend = function leafAppend (other) {\n    if (this.length + other.length <= GOOD_LEAF_SIZE)\n      { return new Leaf(this.values.concat(other.flatten())) }\n  };\n\n  Leaf.prototype.leafPrepend = function leafPrepend (other) {\n    if (this.length + other.length <= GOOD_LEAF_SIZE)\n      { return new Leaf(other.flatten().concat(this.values)) }\n  };\n\n  prototypeAccessors.length.get = function () { return this.values.length };\n\n  prototypeAccessors.depth.get = function () { return 0 };\n\n  Object.defineProperties( Leaf.prototype, prototypeAccessors );\n\n  return Leaf;\n}(RopeSequence));\n\n// :: RopeSequence\n// The empty rope sequence.\nRopeSequence.empty = new Leaf([]);\n\nvar Append = /*@__PURE__*/(function (RopeSequence) {\n  function Append(left, right) {\n    RopeSequence.call(this);\n    this.left = left;\n    this.right = right;\n    this.length = left.length + right.length;\n    this.depth = Math.max(left.depth, right.depth) + 1;\n  }\n\n  if ( RopeSequence ) Append.__proto__ = RopeSequence;\n  Append.prototype = Object.create( RopeSequence && RopeSequence.prototype );\n  Append.prototype.constructor = Append;\n\n  Append.prototype.flatten = function flatten () {\n    return this.left.flatten().concat(this.right.flatten())\n  };\n\n  Append.prototype.getInner = function getInner (i) {\n    return i < this.left.length ? this.left.get(i) : this.right.get(i - this.left.length)\n  };\n\n  Append.prototype.forEachInner = function forEachInner (f, from, to, start) {\n    var leftLen = this.left.length;\n    if (from < leftLen &&\n        this.left.forEachInner(f, from, Math.min(to, leftLen), start) === false)\n      { return false }\n    if (to > leftLen &&\n        this.right.forEachInner(f, Math.max(from - leftLen, 0), Math.min(this.length, to) - leftLen, start + leftLen) === false)\n      { return false }\n  };\n\n  Append.prototype.forEachInvertedInner = function forEachInvertedInner (f, from, to, start) {\n    var leftLen = this.left.length;\n    if (from > leftLen &&\n        this.right.forEachInvertedInner(f, from - leftLen, Math.max(to, leftLen) - leftLen, start + leftLen) === false)\n      { return false }\n    if (to < leftLen &&\n        this.left.forEachInvertedInner(f, Math.min(from, leftLen), to, start) === false)\n      { return false }\n  };\n\n  Append.prototype.sliceInner = function sliceInner (from, to) {\n    if (from == 0 && to == this.length) { return this }\n    var leftLen = this.left.length;\n    if (to <= leftLen) { return this.left.slice(from, to) }\n    if (from >= leftLen) { return this.right.slice(from - leftLen, to - leftLen) }\n    return this.left.slice(from, leftLen).append(this.right.slice(0, to - leftLen))\n  };\n\n  Append.prototype.leafAppend = function leafAppend (other) {\n    var inner = this.right.leafAppend(other);\n    if (inner) { return new Append(this.left, inner) }\n  };\n\n  Append.prototype.leafPrepend = function leafPrepend (other) {\n    var inner = this.left.leafPrepend(other);\n    if (inner) { return new Append(inner, this.right) }\n  };\n\n  Append.prototype.appendInner = function appendInner (other) {\n    if (this.left.depth >= Math.max(this.right.depth, other.depth) + 1)\n      { return new Append(this.left, new Append(this.right, other)) }\n    return new Append(this, other)\n  };\n\n  return Append;\n}(RopeSequence));\n\nexport default RopeSequence;\n","import RopeSequence from 'rope-sequence';\nimport { Mapping } from 'prosemirror-transform';\nimport { PluginKey, Plugin } from 'prosemirror-state';\n\n// ProseMirror's history isn't simply a way to roll back to a previous\n// state, because ProseMirror supports applying changes without adding\n// them to the history (for example during collaboration).\n//\n// To this end, each 'Branch' (one for the undo history and one for\n// the redo history) keeps an array of 'Items', which can optionally\n// hold a step (an actual undoable change), and always hold a position\n// map (which is needed to move changes below them to apply to the\n// current document).\n//\n// An item that has both a step and a selection bookmark is the start\n// of an 'event' — a group of changes that will be undone or redone at\n// once. (It stores only the bookmark, since that way we don't have to\n// provide a document until the selection is actually applied, which\n// is useful when compressing.)\n// Used to schedule history compression\nconst max_empty_items = 500;\nclass Branch {\n    constructor(items, eventCount) {\n        this.items = items;\n        this.eventCount = eventCount;\n    }\n    // Pop the latest event off the branch's history and apply it\n    // to a document transform.\n    popEvent(state, preserveItems) {\n        if (this.eventCount == 0)\n            return null;\n        let end = this.items.length;\n        for (;; end--) {\n            let next = this.items.get(end - 1);\n            if (next.selection) {\n                --end;\n                break;\n            }\n        }\n        let remap, mapFrom;\n        if (preserveItems) {\n            remap = this.remapping(end, this.items.length);\n            mapFrom = remap.maps.length;\n        }\n        let transform = state.tr;\n        let selection, remaining;\n        let addAfter = [], addBefore = [];\n        this.items.forEach((item, i) => {\n            if (!item.step) {\n                if (!remap) {\n                    remap = this.remapping(end, i + 1);\n                    mapFrom = remap.maps.length;\n                }\n                mapFrom--;\n                addBefore.push(item);\n                return;\n            }\n            if (remap) {\n                addBefore.push(new Item(item.map));\n                let step = item.step.map(remap.slice(mapFrom)), map;\n                if (step && transform.maybeStep(step).doc) {\n                    map = transform.mapping.maps[transform.mapping.maps.length - 1];\n                    addAfter.push(new Item(map, undefined, undefined, addAfter.length + addBefore.length));\n                }\n                mapFrom--;\n                if (map)\n                    remap.appendMap(map, mapFrom);\n            }\n            else {\n                transform.maybeStep(item.step);\n            }\n            if (item.selection) {\n                selection = remap ? item.selection.map(remap.slice(mapFrom)) : item.selection;\n                remaining = new Branch(this.items.slice(0, end).append(addBefore.reverse().concat(addAfter)), this.eventCount - 1);\n                return false;\n            }\n        }, this.items.length, 0);\n        return { remaining: remaining, transform, selection: selection };\n    }\n    // Create a new branch with the given transform added.\n    addTransform(transform, selection, histOptions, preserveItems) {\n        let newItems = [], eventCount = this.eventCount;\n        let oldItems = this.items, lastItem = !preserveItems && oldItems.length ? oldItems.get(oldItems.length - 1) : null;\n        for (let i = 0; i < transform.steps.length; i++) {\n            let step = transform.steps[i].invert(transform.docs[i]);\n            let item = new Item(transform.mapping.maps[i], step, selection), merged;\n            if (merged = lastItem && lastItem.merge(item)) {\n                item = merged;\n                if (i)\n                    newItems.pop();\n                else\n                    oldItems = oldItems.slice(0, oldItems.length - 1);\n            }\n            newItems.push(item);\n            if (selection) {\n                eventCount++;\n                selection = undefined;\n            }\n            if (!preserveItems)\n                lastItem = item;\n        }\n        let overflow = eventCount - histOptions.depth;\n        if (overflow > DEPTH_OVERFLOW) {\n            oldItems = cutOffEvents(oldItems, overflow);\n            eventCount -= overflow;\n        }\n        return new Branch(oldItems.append(newItems), eventCount);\n    }\n    remapping(from, to) {\n        let maps = new Mapping;\n        this.items.forEach((item, i) => {\n            let mirrorPos = item.mirrorOffset != null && i - item.mirrorOffset >= from\n                ? maps.maps.length - item.mirrorOffset : undefined;\n            maps.appendMap(item.map, mirrorPos);\n        }, from, to);\n        return maps;\n    }\n    addMaps(array) {\n        if (this.eventCount == 0)\n            return this;\n        return new Branch(this.items.append(array.map(map => new Item(map))), this.eventCount);\n    }\n    // When the collab module receives remote changes, the history has\n    // to know about those, so that it can adjust the steps that were\n    // rebased on top of the remote changes, and include the position\n    // maps for the remote changes in its array of items.\n    rebased(rebasedTransform, rebasedCount) {\n        if (!this.eventCount)\n            return this;\n        let rebasedItems = [], start = Math.max(0, this.items.length - rebasedCount);\n        let mapping = rebasedTransform.mapping;\n        let newUntil = rebasedTransform.steps.length;\n        let eventCount = this.eventCount;\n        this.items.forEach(item => { if (item.selection)\n            eventCount--; }, start);\n        let iRebased = rebasedCount;\n        this.items.forEach(item => {\n            let pos = mapping.getMirror(--iRebased);\n            if (pos == null)\n                return;\n            newUntil = Math.min(newUntil, pos);\n            let map = mapping.maps[pos];\n            if (item.step) {\n                let step = rebasedTransform.steps[pos].invert(rebasedTransform.docs[pos]);\n                let selection = item.selection && item.selection.map(mapping.slice(iRebased + 1, pos));\n                if (selection)\n                    eventCount++;\n                rebasedItems.push(new Item(map, step, selection));\n            }\n            else {\n                rebasedItems.push(new Item(map));\n            }\n        }, start);\n        let newMaps = [];\n        for (let i = rebasedCount; i < newUntil; i++)\n            newMaps.push(new Item(mapping.maps[i]));\n        let items = this.items.slice(0, start).append(newMaps).append(rebasedItems);\n        let branch = new Branch(items, eventCount);\n        if (branch.emptyItemCount() > max_empty_items)\n            branch = branch.compress(this.items.length - rebasedItems.length);\n        return branch;\n    }\n    emptyItemCount() {\n        let count = 0;\n        this.items.forEach(item => { if (!item.step)\n            count++; });\n        return count;\n    }\n    // Compressing a branch means rewriting it to push the air (map-only\n    // items) out. During collaboration, these naturally accumulate\n    // because each remote change adds one. The `upto` argument is used\n    // to ensure that only the items below a given level are compressed,\n    // because `rebased` relies on a clean, untouched set of items in\n    // order to associate old items with rebased steps.\n    compress(upto = this.items.length) {\n        let remap = this.remapping(0, upto), mapFrom = remap.maps.length;\n        let items = [], events = 0;\n        this.items.forEach((item, i) => {\n            if (i >= upto) {\n                items.push(item);\n                if (item.selection)\n                    events++;\n            }\n            else if (item.step) {\n                let step = item.step.map(remap.slice(mapFrom)), map = step && step.getMap();\n                mapFrom--;\n                if (map)\n                    remap.appendMap(map, mapFrom);\n                if (step) {\n                    let selection = item.selection && item.selection.map(remap.slice(mapFrom));\n                    if (selection)\n                        events++;\n                    let newItem = new Item(map.invert(), step, selection), merged, last = items.length - 1;\n                    if (merged = items.length && items[last].merge(newItem))\n                        items[last] = merged;\n                    else\n                        items.push(newItem);\n                }\n            }\n            else if (item.map) {\n                mapFrom--;\n            }\n        }, this.items.length, 0);\n        return new Branch(RopeSequence.from(items.reverse()), events);\n    }\n}\nBranch.empty = new Branch(RopeSequence.empty, 0);\nfunction cutOffEvents(items, n) {\n    let cutPoint;\n    items.forEach((item, i) => {\n        if (item.selection && (n-- == 0)) {\n            cutPoint = i;\n            return false;\n        }\n    });\n    return items.slice(cutPoint);\n}\nclass Item {\n    constructor(\n    // The (forward) step map for this item.\n    map, \n    // The inverted step\n    step, \n    // If this is non-null, this item is the start of a group, and\n    // this selection is the starting selection for the group (the one\n    // that was active before the first step was applied)\n    selection, \n    // If this item is the inverse of a previous mapping on the stack,\n    // this points at the inverse's offset\n    mirrorOffset) {\n        this.map = map;\n        this.step = step;\n        this.selection = selection;\n        this.mirrorOffset = mirrorOffset;\n    }\n    merge(other) {\n        if (this.step && other.step && !other.selection) {\n            let step = other.step.merge(this.step);\n            if (step)\n                return new Item(step.getMap().invert(), step, this.selection);\n        }\n    }\n}\n// The value of the state field that tracks undo/redo history for that\n// state. Will be stored in the plugin state when the history plugin\n// is active.\nclass HistoryState {\n    constructor(done, undone, prevRanges, prevTime, prevComposition) {\n        this.done = done;\n        this.undone = undone;\n        this.prevRanges = prevRanges;\n        this.prevTime = prevTime;\n        this.prevComposition = prevComposition;\n    }\n}\nconst DEPTH_OVERFLOW = 20;\n// Record a transformation in undo history.\nfunction applyTransaction(history, state, tr, options) {\n    let historyTr = tr.getMeta(historyKey), rebased;\n    if (historyTr)\n        return historyTr.historyState;\n    if (tr.getMeta(closeHistoryKey))\n        history = new HistoryState(history.done, history.undone, null, 0, -1);\n    let appended = tr.getMeta(\"appendedTransaction\");\n    if (tr.steps.length == 0) {\n        return history;\n    }\n    else if (appended && appended.getMeta(historyKey)) {\n        if (appended.getMeta(historyKey).redo)\n            return new HistoryState(history.done.addTransform(tr, undefined, options, mustPreserveItems(state)), history.undone, rangesFor(tr.mapping.maps[tr.steps.length - 1]), history.prevTime, history.prevComposition);\n        else\n            return new HistoryState(history.done, history.undone.addTransform(tr, undefined, options, mustPreserveItems(state)), null, history.prevTime, history.prevComposition);\n    }\n    else if (tr.getMeta(\"addToHistory\") !== false && !(appended && appended.getMeta(\"addToHistory\") === false)) {\n        // Group transforms that occur in quick succession into one event.\n        let composition = tr.getMeta(\"composition\");\n        let newGroup = history.prevTime == 0 ||\n            (!appended && history.prevComposition != composition &&\n                (history.prevTime < (tr.time || 0) - options.newGroupDelay || !isAdjacentTo(tr, history.prevRanges)));\n        let prevRanges = appended ? mapRanges(history.prevRanges, tr.mapping) : rangesFor(tr.mapping.maps[tr.steps.length - 1]);\n        return new HistoryState(history.done.addTransform(tr, newGroup ? state.selection.getBookmark() : undefined, options, mustPreserveItems(state)), Branch.empty, prevRanges, tr.time, composition == null ? history.prevComposition : composition);\n    }\n    else if (rebased = tr.getMeta(\"rebased\")) {\n        // Used by the collab module to tell the history that some of its\n        // content has been rebased.\n        return new HistoryState(history.done.rebased(tr, rebased), history.undone.rebased(tr, rebased), mapRanges(history.prevRanges, tr.mapping), history.prevTime, history.prevComposition);\n    }\n    else {\n        return new HistoryState(history.done.addMaps(tr.mapping.maps), history.undone.addMaps(tr.mapping.maps), mapRanges(history.prevRanges, tr.mapping), history.prevTime, history.prevComposition);\n    }\n}\nfunction isAdjacentTo(transform, prevRanges) {\n    if (!prevRanges)\n        return false;\n    if (!transform.docChanged)\n        return true;\n    let adjacent = false;\n    transform.mapping.maps[0].forEach((start, end) => {\n        for (let i = 0; i < prevRanges.length; i += 2)\n            if (start <= prevRanges[i + 1] && end >= prevRanges[i])\n                adjacent = true;\n    });\n    return adjacent;\n}\nfunction rangesFor(map) {\n    let result = [];\n    map.forEach((_from, _to, from, to) => result.push(from, to));\n    return result;\n}\nfunction mapRanges(ranges, mapping) {\n    if (!ranges)\n        return null;\n    let result = [];\n    for (let i = 0; i < ranges.length; i += 2) {\n        let from = mapping.map(ranges[i], 1), to = mapping.map(ranges[i + 1], -1);\n        if (from <= to)\n            result.push(from, to);\n    }\n    return result;\n}\n// Apply the latest event from one branch to the document and shift the event\n// onto the other branch.\nfunction histTransaction(history, state, redo) {\n    let preserveItems = mustPreserveItems(state);\n    let histOptions = historyKey.get(state).spec.config;\n    let pop = (redo ? history.undone : history.done).popEvent(state, preserveItems);\n    if (!pop)\n        return null;\n    let selection = pop.selection.resolve(pop.transform.doc);\n    let added = (redo ? history.done : history.undone).addTransform(pop.transform, state.selection.getBookmark(), histOptions, preserveItems);\n    let newHist = new HistoryState(redo ? added : pop.remaining, redo ? pop.remaining : added, null, 0, -1);\n    return pop.transform.setSelection(selection).setMeta(historyKey, { redo, historyState: newHist });\n}\nlet cachedPreserveItems = false, cachedPreserveItemsPlugins = null;\n// Check whether any plugin in the given state has a\n// `historyPreserveItems` property in its spec, in which case we must\n// preserve steps exactly as they came in, so that they can be\n// rebased.\nfunction mustPreserveItems(state) {\n    let plugins = state.plugins;\n    if (cachedPreserveItemsPlugins != plugins) {\n        cachedPreserveItems = false;\n        cachedPreserveItemsPlugins = plugins;\n        for (let i = 0; i < plugins.length; i++)\n            if (plugins[i].spec.historyPreserveItems) {\n                cachedPreserveItems = true;\n                break;\n            }\n    }\n    return cachedPreserveItems;\n}\n/**\nSet a flag on the given transaction that will prevent further steps\nfrom being appended to an existing history event (so that they\nrequire a separate undo command to undo).\n*/\nfunction closeHistory(tr) {\n    return tr.setMeta(closeHistoryKey, true);\n}\nconst historyKey = new PluginKey(\"history\");\nconst closeHistoryKey = new PluginKey(\"closeHistory\");\n/**\nReturns a plugin that enables the undo history for an editor. The\nplugin will track undo and redo stacks, which can be used with the\n[`undo`](https://prosemirror.net/docs/ref/#history.undo) and [`redo`](https://prosemirror.net/docs/ref/#history.redo) commands.\n\nYou can set an `\"addToHistory\"` [metadata\nproperty](https://prosemirror.net/docs/ref/#state.Transaction.setMeta) of `false` on a transaction\nto prevent it from being rolled back by undo.\n*/\nfunction history(config = {}) {\n    config = { depth: config.depth || 100,\n        newGroupDelay: config.newGroupDelay || 500 };\n    return new Plugin({\n        key: historyKey,\n        state: {\n            init() {\n                return new HistoryState(Branch.empty, Branch.empty, null, 0, -1);\n            },\n            apply(tr, hist, state) {\n                return applyTransaction(hist, state, tr, config);\n            }\n        },\n        config,\n        props: {\n            handleDOMEvents: {\n                beforeinput(view, e) {\n                    let inputType = e.inputType;\n                    let command = inputType == \"historyUndo\" ? undo : inputType == \"historyRedo\" ? redo : null;\n                    if (!command)\n                        return false;\n                    e.preventDefault();\n                    return command(view.state, view.dispatch);\n                }\n            }\n        }\n    });\n}\nfunction buildCommand(redo, scroll) {\n    return (state, dispatch) => {\n        let hist = historyKey.getState(state);\n        if (!hist || (redo ? hist.undone : hist.done).eventCount == 0)\n            return false;\n        if (dispatch) {\n            let tr = histTransaction(hist, state, redo);\n            if (tr)\n                dispatch(scroll ? tr.scrollIntoView() : tr);\n        }\n        return true;\n    };\n}\n/**\nA command function that undoes the last change, if any.\n*/\nconst undo = buildCommand(false, true);\n/**\nA command function that redoes the last undone change, if any.\n*/\nconst redo = buildCommand(true, true);\n/**\nA command function that undoes the last change. Don't scroll the\nselection into view.\n*/\nconst undoNoScroll = buildCommand(false, false);\n/**\nA command function that redoes the last undone change. Don't\nscroll the selection into view.\n*/\nconst redoNoScroll = buildCommand(true, false);\n/**\nThe amount of undoable events available in a given state.\n*/\nfunction undoDepth(state) {\n    let hist = historyKey.getState(state);\n    return hist ? hist.done.eventCount : 0;\n}\n/**\nThe amount of redoable events available in a given editor state.\n*/\nfunction redoDepth(state) {\n    let hist = historyKey.getState(state);\n    return hist ? hist.undone.eventCount : 0;\n}\n\nexport { closeHistory, history, redo, redoDepth, redoNoScroll, undo, undoDepth, undoNoScroll };\n","import { Extension } from '@tiptap/core';\nimport { undo, redo, history } from '@tiptap/pm/history';\n\nconst History = Extension.create({\r\n    name: 'history',\r\n    addOptions() {\r\n        return {\r\n            depth: 100,\r\n            newGroupDelay: 500,\r\n        };\r\n    },\r\n    addCommands() {\r\n        return {\r\n            undo: () => ({ state, dispatch }) => {\r\n                return undo(state, dispatch);\r\n            },\r\n            redo: () => ({ state, dispatch }) => {\r\n                return redo(state, dispatch);\r\n            },\r\n        };\r\n    },\r\n    addProseMirrorPlugins() {\r\n        return [\r\n            history(this.options),\r\n        ];\r\n    },\r\n    addKeyboardShortcuts() {\r\n        return {\r\n            'Mod-z': () => this.editor.commands.undo(),\r\n            'Shift-Mod-z': () => this.editor.commands.redo(),\r\n            'Mod-y': () => this.editor.commands.redo(),\r\n            // Russian keyboard layouts\r\n            'Mod-я': () => this.editor.commands.undo(),\r\n            'Shift-Mod-я': () => this.editor.commands.redo(),\r\n        };\r\n    },\r\n});\n\nexport { History, History as default };\n//# sourceMappingURL=index.js.map\n","import { Node, mergeAttributes, nodeInputRule } from '@tiptap/core';\nimport { TextSelection, NodeSelection } from '@tiptap/pm/state';\n\nconst HorizontalRule = Node.create({\r\n    name: 'horizontalRule',\r\n    addOptions() {\r\n        return {\r\n            HTMLAttributes: {},\r\n        };\r\n    },\r\n    group: 'block',\r\n    parseHTML() {\r\n        return [{ tag: 'hr' }];\r\n    },\r\n    renderHTML({ HTMLAttributes }) {\r\n        return ['hr', mergeAttributes(this.options.HTMLAttributes, HTMLAttributes)];\r\n    },\r\n    addCommands() {\r\n        return {\r\n            setHorizontalRule: () => ({ chain, state }) => {\r\n                const { $to: $originTo } = state.selection;\r\n                const currentChain = chain();\r\n                if ($originTo.parentOffset === 0) {\r\n                    currentChain.insertContentAt(Math.max($originTo.pos - 2, 0), { type: this.name });\r\n                }\r\n                else {\r\n                    currentChain.insertContent({ type: this.name });\r\n                }\r\n                return (currentChain\r\n                    // set cursor after horizontal rule\r\n                    .command(({ tr, dispatch }) => {\r\n                    var _a;\r\n                    if (dispatch) {\r\n                        const { $to } = tr.selection;\r\n                        const posAfter = $to.end();\r\n                        if ($to.nodeAfter) {\r\n                            if ($to.nodeAfter.isTextblock) {\r\n                                tr.setSelection(TextSelection.create(tr.doc, $to.pos + 1));\r\n                            }\r\n                            else if ($to.nodeAfter.isBlock) {\r\n                                tr.setSelection(NodeSelection.create(tr.doc, $to.pos));\r\n                            }\r\n                            else {\r\n                                tr.setSelection(TextSelection.create(tr.doc, $to.pos));\r\n                            }\r\n                        }\r\n                        else {\r\n                            // add node after horizontal rule if it’s the end of the document\r\n                            const node = (_a = $to.parent.type.contentMatch.defaultType) === null || _a === void 0 ? void 0 : _a.create();\r\n                            if (node) {\r\n                                tr.insert(posAfter, node);\r\n                                tr.setSelection(TextSelection.create(tr.doc, posAfter + 1));\r\n                            }\r\n                        }\r\n                        tr.scrollIntoView();\r\n                    }\r\n                    return true;\r\n                })\r\n                    .run());\r\n            },\r\n        };\r\n    },\r\n    addInputRules() {\r\n        return [\r\n            nodeInputRule({\r\n                find: /^(?:---|—-|___\\s|\\*\\*\\*\\s)$/,\r\n                type: this.type,\r\n            }),\r\n        ];\r\n    },\r\n});\n\nexport { HorizontalRule, HorizontalRule as default };\n//# sourceMappingURL=index.js.map\n","import { Mark, mergeAttributes, markInputRule, markPasteRule } from '@tiptap/core';\n\nconst starInputRegex = /(?:^|\\s)(\\*(?!\\s+\\*)((?:[^*]+))\\*(?!\\s+\\*))$/;\r\nconst starPasteRegex = /(?:^|\\s)(\\*(?!\\s+\\*)((?:[^*]+))\\*(?!\\s+\\*))/g;\r\nconst underscoreInputRegex = /(?:^|\\s)(_(?!\\s+_)((?:[^_]+))_(?!\\s+_))$/;\r\nconst underscorePasteRegex = /(?:^|\\s)(_(?!\\s+_)((?:[^_]+))_(?!\\s+_))/g;\r\nconst Italic = Mark.create({\r\n    name: 'italic',\r\n    addOptions() {\r\n        return {\r\n            HTMLAttributes: {},\r\n        };\r\n    },\r\n    parseHTML() {\r\n        return [\r\n            {\r\n                tag: 'em',\r\n            },\r\n            {\r\n                tag: 'i',\r\n                getAttrs: node => node.style.fontStyle !== 'normal' && null,\r\n            },\r\n            {\r\n                style: 'font-style=italic',\r\n            },\r\n        ];\r\n    },\r\n    renderHTML({ HTMLAttributes }) {\r\n        return ['em', mergeAttributes(this.options.HTMLAttributes, HTMLAttributes), 0];\r\n    },\r\n    addCommands() {\r\n        return {\r\n            setItalic: () => ({ commands }) => {\r\n                return commands.setMark(this.name);\r\n            },\r\n            toggleItalic: () => ({ commands }) => {\r\n                return commands.toggleMark(this.name);\r\n            },\r\n            unsetItalic: () => ({ commands }) => {\r\n                return commands.unsetMark(this.name);\r\n            },\r\n        };\r\n    },\r\n    addKeyboardShortcuts() {\r\n        return {\r\n            'Mod-i': () => this.editor.commands.toggleItalic(),\r\n            'Mod-I': () => this.editor.commands.toggleItalic(),\r\n        };\r\n    },\r\n    addInputRules() {\r\n        return [\r\n            markInputRule({\r\n                find: starInputRegex,\r\n                type: this.type,\r\n            }),\r\n            markInputRule({\r\n                find: underscoreInputRegex,\r\n                type: this.type,\r\n            }),\r\n        ];\r\n    },\r\n    addPasteRules() {\r\n        return [\r\n            markPasteRule({\r\n                find: starPasteRegex,\r\n                type: this.type,\r\n            }),\r\n            markPasteRule({\r\n                find: underscorePasteRegex,\r\n                type: this.type,\r\n            }),\r\n        ];\r\n    },\r\n});\n\nexport { Italic, Italic as default, starInputRegex, starPasteRegex, underscoreInputRegex, underscorePasteRegex };\n//# sourceMappingURL=index.js.map\n","import { Node, mergeAttributes } from '@tiptap/core';\n\nconst ListItem = Node.create({\r\n    name: 'listItem',\r\n    addOptions() {\r\n        return {\r\n            HTMLAttributes: {},\r\n            bulletListTypeName: 'bulletList',\r\n            orderedListTypeName: 'orderedList',\r\n        };\r\n    },\r\n    content: 'paragraph block*',\r\n    defining: true,\r\n    parseHTML() {\r\n        return [\r\n            {\r\n                tag: 'li',\r\n            },\r\n        ];\r\n    },\r\n    renderHTML({ HTMLAttributes }) {\r\n        return ['li', mergeAttributes(this.options.HTMLAttributes, HTMLAttributes), 0];\r\n    },\r\n    addKeyboardShortcuts() {\r\n        return {\r\n            Enter: () => this.editor.commands.splitListItem(this.name),\r\n            Tab: () => this.editor.commands.sinkListItem(this.name),\r\n            'Shift-Tab': () => this.editor.commands.liftListItem(this.name),\r\n        };\r\n    },\r\n});\n\nexport { ListItem, ListItem as default };\n//# sourceMappingURL=index.js.map\n","import { Node, mergeAttributes, Mark, getMarkAttributes, wrappingInputRule } from '@tiptap/core';\n\nconst ListItem = Node.create({\r\n    name: 'listItem',\r\n    addOptions() {\r\n        return {\r\n            HTMLAttributes: {},\r\n            bulletListTypeName: 'bulletList',\r\n            orderedListTypeName: 'orderedList',\r\n        };\r\n    },\r\n    content: 'paragraph block*',\r\n    defining: true,\r\n    parseHTML() {\r\n        return [\r\n            {\r\n                tag: 'li',\r\n            },\r\n        ];\r\n    },\r\n    renderHTML({ HTMLAttributes }) {\r\n        return ['li', mergeAttributes(this.options.HTMLAttributes, HTMLAttributes), 0];\r\n    },\r\n    addKeyboardShortcuts() {\r\n        return {\r\n            Enter: () => this.editor.commands.splitListItem(this.name),\r\n            Tab: () => this.editor.commands.sinkListItem(this.name),\r\n            'Shift-Tab': () => this.editor.commands.liftListItem(this.name),\r\n        };\r\n    },\r\n});\n\nconst TextStyle = Mark.create({\r\n    name: 'textStyle',\r\n    addOptions() {\r\n        return {\r\n            HTMLAttributes: {},\r\n        };\r\n    },\r\n    parseHTML() {\r\n        return [\r\n            {\r\n                tag: 'span',\r\n                getAttrs: element => {\r\n                    const hasStyles = element.hasAttribute('style');\r\n                    if (!hasStyles) {\r\n                        return false;\r\n                    }\r\n                    return {};\r\n                },\r\n            },\r\n        ];\r\n    },\r\n    renderHTML({ HTMLAttributes }) {\r\n        return ['span', mergeAttributes(this.options.HTMLAttributes, HTMLAttributes), 0];\r\n    },\r\n    addCommands() {\r\n        return {\r\n            removeEmptyTextStyle: () => ({ state, commands }) => {\r\n                const attributes = getMarkAttributes(state, this.type);\r\n                const hasStyles = Object.entries(attributes).some(([, value]) => !!value);\r\n                if (hasStyles) {\r\n                    return true;\r\n                }\r\n                return commands.unsetMark(this.name);\r\n            },\r\n        };\r\n    },\r\n});\n\nconst inputRegex = /^(\\d+)\\.\\s$/;\r\nconst OrderedList = Node.create({\r\n    name: 'orderedList',\r\n    addOptions() {\r\n        return {\r\n            itemTypeName: 'listItem',\r\n            HTMLAttributes: {},\r\n            keepMarks: false,\r\n            keepAttributes: false,\r\n        };\r\n    },\r\n    group: 'block list',\r\n    content() {\r\n        return `${this.options.itemTypeName}+`;\r\n    },\r\n    addAttributes() {\r\n        return {\r\n            start: {\r\n                default: 1,\r\n                parseHTML: element => {\r\n                    return element.hasAttribute('start')\r\n                        ? parseInt(element.getAttribute('start') || '', 10)\r\n                        : 1;\r\n                },\r\n            },\r\n        };\r\n    },\r\n    parseHTML() {\r\n        return [\r\n            {\r\n                tag: 'ol',\r\n            },\r\n        ];\r\n    },\r\n    renderHTML({ HTMLAttributes }) {\r\n        const { start, ...attributesWithoutStart } = HTMLAttributes;\r\n        return start === 1\r\n            ? ['ol', mergeAttributes(this.options.HTMLAttributes, attributesWithoutStart), 0]\r\n            : ['ol', mergeAttributes(this.options.HTMLAttributes, HTMLAttributes), 0];\r\n    },\r\n    addCommands() {\r\n        return {\r\n            toggleOrderedList: () => ({ commands, chain }) => {\r\n                if (this.options.keepAttributes) {\r\n                    return chain().toggleList(this.name, this.options.itemTypeName, this.options.keepMarks).updateAttributes(ListItem.name, this.editor.getAttributes(TextStyle.name)).run();\r\n                }\r\n                return commands.toggleList(this.name, this.options.itemTypeName, this.options.keepMarks);\r\n            },\r\n        };\r\n    },\r\n    addKeyboardShortcuts() {\r\n        return {\r\n            'Mod-Shift-7': () => this.editor.commands.toggleOrderedList(),\r\n        };\r\n    },\r\n    addInputRules() {\r\n        let inputRule = wrappingInputRule({\r\n            find: inputRegex,\r\n            type: this.type,\r\n            getAttributes: match => ({ start: +match[1] }),\r\n            joinPredicate: (match, node) => node.childCount + node.attrs.start === +match[1],\r\n        });\r\n        if (this.options.keepMarks || this.options.keepAttributes) {\r\n            inputRule = wrappingInputRule({\r\n                find: inputRegex,\r\n                type: this.type,\r\n                keepMarks: this.options.keepMarks,\r\n                keepAttributes: this.options.keepAttributes,\r\n                getAttributes: match => ({ start: +match[1], ...this.editor.getAttributes(TextStyle.name) }),\r\n                joinPredicate: (match, node) => node.childCount + node.attrs.start === +match[1],\r\n                editor: this.editor,\r\n            });\r\n        }\r\n        return [\r\n            inputRule,\r\n        ];\r\n    },\r\n});\n\nexport { OrderedList, OrderedList as default, inputRegex };\n//# sourceMappingURL=index.js.map\n","import { Node, mergeAttributes } from '@tiptap/core';\n\nconst Paragraph = Node.create({\r\n    name: 'paragraph',\r\n    priority: 1000,\r\n    addOptions() {\r\n        return {\r\n            HTMLAttributes: {},\r\n        };\r\n    },\r\n    group: 'block',\r\n    content: 'inline*',\r\n    parseHTML() {\r\n        return [\r\n            { tag: 'p' },\r\n        ];\r\n    },\r\n    renderHTML({ HTMLAttributes }) {\r\n        return ['p', mergeAttributes(this.options.HTMLAttributes, HTMLAttributes), 0];\r\n    },\r\n    addCommands() {\r\n        return {\r\n            setParagraph: () => ({ commands }) => {\r\n                return commands.setNode(this.name);\r\n            },\r\n        };\r\n    },\r\n    addKeyboardShortcuts() {\r\n        return {\r\n            'Mod-Alt-0': () => this.editor.commands.setParagraph(),\r\n        };\r\n    },\r\n});\n\nexport { Paragraph, Paragraph as default };\n//# sourceMappingURL=index.js.map\n","import { Mark, mergeAttributes, isMacOS, markInputRule, markPasteRule } from '@tiptap/core';\n\nconst inputRegex = /(?:^|\\s)(~~(?!\\s+~~)((?:[^~]+))~~(?!\\s+~~))$/;\r\nconst pasteRegex = /(?:^|\\s)(~~(?!\\s+~~)((?:[^~]+))~~(?!\\s+~~))/g;\r\nconst Strike = Mark.create({\r\n    name: 'strike',\r\n    addOptions() {\r\n        return {\r\n            HTMLAttributes: {},\r\n        };\r\n    },\r\n    parseHTML() {\r\n        return [\r\n            {\r\n                tag: 's',\r\n            },\r\n            {\r\n                tag: 'del',\r\n            },\r\n            {\r\n                tag: 'strike',\r\n            },\r\n            {\r\n                style: 'text-decoration',\r\n                consuming: false,\r\n                getAttrs: style => (style.includes('line-through') ? {} : false),\r\n            },\r\n        ];\r\n    },\r\n    renderHTML({ HTMLAttributes }) {\r\n        return ['s', mergeAttributes(this.options.HTMLAttributes, HTMLAttributes), 0];\r\n    },\r\n    addCommands() {\r\n        return {\r\n            setStrike: () => ({ commands }) => {\r\n                return commands.setMark(this.name);\r\n            },\r\n            toggleStrike: () => ({ commands }) => {\r\n                return commands.toggleMark(this.name);\r\n            },\r\n            unsetStrike: () => ({ commands }) => {\r\n                return commands.unsetMark(this.name);\r\n            },\r\n        };\r\n    },\r\n    addKeyboardShortcuts() {\r\n        const shortcuts = {};\r\n        if (isMacOS()) {\r\n            shortcuts['Mod-Shift-s'] = () => this.editor.commands.toggleStrike();\r\n        }\r\n        else {\r\n            shortcuts['Ctrl-Shift-s'] = () => this.editor.commands.toggleStrike();\r\n        }\r\n        return shortcuts;\r\n    },\r\n    addInputRules() {\r\n        return [\r\n            markInputRule({\r\n                find: inputRegex,\r\n                type: this.type,\r\n            }),\r\n        ];\r\n    },\r\n    addPasteRules() {\r\n        return [\r\n            markPasteRule({\r\n                find: pasteRegex,\r\n                type: this.type,\r\n            }),\r\n        ];\r\n    },\r\n});\n\nexport { Strike, Strike as default, inputRegex, pasteRegex };\n//# sourceMappingURL=index.js.map\n","import { Node } from '@tiptap/core';\n\nconst Text = Node.create({\r\n    name: 'text',\r\n    group: 'inline',\r\n});\n\nexport { Text, Text as default };\n//# sourceMappingURL=index.js.map\n","import { Extension } from '@tiptap/core';\nimport { Blockquote } from '@tiptap/extension-blockquote';\nimport { Bold } from '@tiptap/extension-bold';\nimport { BulletList } from '@tiptap/extension-bullet-list';\nimport { Code } from '@tiptap/extension-code';\nimport { CodeBlock } from '@tiptap/extension-code-block';\nimport { Document } from '@tiptap/extension-document';\nimport { Dropcursor } from '@tiptap/extension-dropcursor';\nimport { Gapcursor } from '@tiptap/extension-gapcursor';\nimport { HardBreak } from '@tiptap/extension-hard-break';\nimport { Heading } from '@tiptap/extension-heading';\nimport { History } from '@tiptap/extension-history';\nimport { HorizontalRule } from '@tiptap/extension-horizontal-rule';\nimport { Italic } from '@tiptap/extension-italic';\nimport { ListItem } from '@tiptap/extension-list-item';\nimport { OrderedList } from '@tiptap/extension-ordered-list';\nimport { Paragraph } from '@tiptap/extension-paragraph';\nimport { Strike } from '@tiptap/extension-strike';\nimport { Text } from '@tiptap/extension-text';\n\nconst StarterKit = Extension.create({\r\n    name: 'starterKit',\r\n    addExtensions() {\r\n        var _a, _b, _c, _d, _e, _f, _g, _h, _j, _k, _l, _m, _o, _p, _q, _r, _s, _t;\r\n        const extensions = [];\r\n        if (this.options.blockquote !== false) {\r\n            extensions.push(Blockquote.configure((_a = this.options) === null || _a === void 0 ? void 0 : _a.blockquote));\r\n        }\r\n        if (this.options.bold !== false) {\r\n            extensions.push(Bold.configure((_b = this.options) === null || _b === void 0 ? void 0 : _b.bold));\r\n        }\r\n        if (this.options.bulletList !== false) {\r\n            extensions.push(BulletList.configure((_c = this.options) === null || _c === void 0 ? void 0 : _c.bulletList));\r\n        }\r\n        if (this.options.code !== false) {\r\n            extensions.push(Code.configure((_d = this.options) === null || _d === void 0 ? void 0 : _d.code));\r\n        }\r\n        if (this.options.codeBlock !== false) {\r\n            extensions.push(CodeBlock.configure((_e = this.options) === null || _e === void 0 ? void 0 : _e.codeBlock));\r\n        }\r\n        if (this.options.document !== false) {\r\n            extensions.push(Document.configure((_f = this.options) === null || _f === void 0 ? void 0 : _f.document));\r\n        }\r\n        if (this.options.dropcursor !== false) {\r\n            extensions.push(Dropcursor.configure((_g = this.options) === null || _g === void 0 ? void 0 : _g.dropcursor));\r\n        }\r\n        if (this.options.gapcursor !== false) {\r\n            extensions.push(Gapcursor.configure((_h = this.options) === null || _h === void 0 ? void 0 : _h.gapcursor));\r\n        }\r\n        if (this.options.hardBreak !== false) {\r\n            extensions.push(HardBreak.configure((_j = this.options) === null || _j === void 0 ? void 0 : _j.hardBreak));\r\n        }\r\n        if (this.options.heading !== false) {\r\n            extensions.push(Heading.configure((_k = this.options) === null || _k === void 0 ? void 0 : _k.heading));\r\n        }\r\n        if (this.options.history !== false) {\r\n            extensions.push(History.configure((_l = this.options) === null || _l === void 0 ? void 0 : _l.history));\r\n        }\r\n        if (this.options.horizontalRule !== false) {\r\n            extensions.push(HorizontalRule.configure((_m = this.options) === null || _m === void 0 ? void 0 : _m.horizontalRule));\r\n        }\r\n        if (this.options.italic !== false) {\r\n            extensions.push(Italic.configure((_o = this.options) === null || _o === void 0 ? void 0 : _o.italic));\r\n        }\r\n        if (this.options.listItem !== false) {\r\n            extensions.push(ListItem.configure((_p = this.options) === null || _p === void 0 ? void 0 : _p.listItem));\r\n        }\r\n        if (this.options.orderedList !== false) {\r\n            extensions.push(OrderedList.configure((_q = this.options) === null || _q === void 0 ? void 0 : _q.orderedList));\r\n        }\r\n        if (this.options.paragraph !== false) {\r\n            extensions.push(Paragraph.configure((_r = this.options) === null || _r === void 0 ? void 0 : _r.paragraph));\r\n        }\r\n        if (this.options.strike !== false) {\r\n            extensions.push(Strike.configure((_s = this.options) === null || _s === void 0 ? void 0 : _s.strike));\r\n        }\r\n        if (this.options.text !== false) {\r\n            extensions.push(Text.configure((_t = this.options) === null || _t === void 0 ? void 0 : _t.text));\r\n        }\r\n        return extensions;\r\n    },\r\n});\n\nexport { StarterKit, StarterKit as default };\n//# sourceMappingURL=index.js.map\n","import { Mark, mergeAttributes, getMarkAttributes } from '@tiptap/core';\n\nconst TextStyle = Mark.create({\r\n    name: 'textStyle',\r\n    addOptions() {\r\n        return {\r\n            HTMLAttributes: {},\r\n        };\r\n    },\r\n    parseHTML() {\r\n        return [\r\n            {\r\n                tag: 'span',\r\n                getAttrs: element => {\r\n                    const hasStyles = element.hasAttribute('style');\r\n                    if (!hasStyles) {\r\n                        return false;\r\n                    }\r\n                    return {};\r\n                },\r\n            },\r\n        ];\r\n    },\r\n    renderHTML({ HTMLAttributes }) {\r\n        return ['span', mergeAttributes(this.options.HTMLAttributes, HTMLAttributes), 0];\r\n    },\r\n    addCommands() {\r\n        return {\r\n            removeEmptyTextStyle: () => ({ state, commands }) => {\r\n                const attributes = getMarkAttributes(state, this.type);\r\n                const hasStyles = Object.entries(attributes).some(([, value]) => !!value);\r\n                if (hasStyles) {\r\n                    return true;\r\n                }\r\n                return commands.unsetMark(this.name);\r\n            },\r\n        };\r\n    },\r\n});\n\nexport { TextStyle, TextStyle as default };\n//# sourceMappingURL=index.js.map\n","import { Extension } from '@tiptap/core';\n\nconst TextAlign = Extension.create({\r\n    name: 'textAlign',\r\n    addOptions() {\r\n        return {\r\n            types: [],\r\n            alignments: ['left', 'center', 'right', 'justify'],\r\n            defaultAlignment: 'left',\r\n        };\r\n    },\r\n    addGlobalAttributes() {\r\n        return [\r\n            {\r\n                types: this.options.types,\r\n                attributes: {\r\n                    textAlign: {\r\n                        default: this.options.defaultAlignment,\r\n                        parseHTML: element => element.style.textAlign || this.options.defaultAlignment,\r\n                        renderHTML: attributes => {\r\n                            if (attributes.textAlign === this.options.defaultAlignment) {\r\n                                return {};\r\n                            }\r\n                            return { style: `text-align: ${attributes.textAlign}` };\r\n                        },\r\n                    },\r\n                },\r\n            },\r\n        ];\r\n    },\r\n    addCommands() {\r\n        return {\r\n            setTextAlign: (alignment) => ({ commands }) => {\r\n                if (!this.options.alignments.includes(alignment)) {\r\n                    return false;\r\n                }\r\n                return this.options.types.every(type => commands.updateAttributes(type, { textAlign: alignment }));\r\n            },\r\n            unsetTextAlign: () => ({ commands }) => {\r\n                return this.options.types.every(type => commands.resetAttributes(type, 'textAlign'));\r\n            },\r\n        };\r\n    },\r\n    addKeyboardShortcuts() {\r\n        return {\r\n            'Mod-Shift-l': () => this.editor.commands.setTextAlign('left'),\r\n            'Mod-Shift-e': () => this.editor.commands.setTextAlign('center'),\r\n            'Mod-Shift-r': () => this.editor.commands.setTextAlign('right'),\r\n            'Mod-Shift-j': () => this.editor.commands.setTextAlign('justify'),\r\n        };\r\n    },\r\n});\n\nexport { TextAlign, TextAlign as default };\n//# sourceMappingURL=index.js.map\n","import '@tiptap/extension-text-style';\nimport { Extension } from '@tiptap/core';\n\nconst FontFamily = Extension.create({\r\n    name: 'fontFamily',\r\n    addOptions() {\r\n        return {\r\n            types: ['textStyle'],\r\n        };\r\n    },\r\n    addGlobalAttributes() {\r\n        return [\r\n            {\r\n                types: this.options.types,\r\n                attributes: {\r\n                    fontFamily: {\r\n                        default: null,\r\n                        parseHTML: element => { var _a; return (_a = element.style.fontFamily) === null || _a === void 0 ? void 0 : _a.replace(/['\"]+/g, ''); },\r\n                        renderHTML: attributes => {\r\n                            if (!attributes.fontFamily) {\r\n                                return {};\r\n                            }\r\n                            return {\r\n                                style: `font-family: ${attributes.fontFamily.split(',').map((fontFamily) => CSS.escape(fontFamily.trim())).join(', ')}`,\r\n                            };\r\n                        },\r\n                    },\r\n                },\r\n            },\r\n        ];\r\n    },\r\n    addCommands() {\r\n        return {\r\n            setFontFamily: fontFamily => ({ chain }) => {\r\n                return chain()\r\n                    .setMark('textStyle', { fontFamily })\r\n                    .run();\r\n            },\r\n            unsetFontFamily: () => ({ chain }) => {\r\n                return chain()\r\n                    .setMark('textStyle', { fontFamily: null })\r\n                    .removeEmptyTextStyle()\r\n                    .run();\r\n            },\r\n        };\r\n    },\r\n});\n\nexport { FontFamily, FontFamily as default };\n//# sourceMappingURL=index.js.map\n","import { Extension } from '@tiptap/core';\r\nimport '@tiptap/extension-text-style';\r\n\r\ntype FontSizeOptions = {\r\n  types: string[];\r\n};\r\n\r\ndeclare module '@tiptap/core' {\r\n  interface Commands<ReturnType> {\r\n    fontSize: {\r\n      /**\r\n       * Set the font size attribute\r\n       */\r\n      setFontSize: (size: string) => ReturnType;\r\n      /**\r\n       * Unset the font size attribute\r\n       */\r\n      unsetFontSize: () => ReturnType;\r\n    };\r\n  }\r\n}\r\n\r\nexport const FontSize = Extension.create<FontSizeOptions>({\r\n  name: 'fontSize',\r\n\r\n  addOptions() {\r\n    return {\r\n      types: ['textStyle'],\r\n    };\r\n  },\r\n\r\n  addGlobalAttributes() {\r\n    return [\r\n      {\r\n        types: this.options.types,\r\n        attributes: {\r\n          fontSize: {\r\n            default: null,\r\n            parseHTML: (element) =>\r\n              element.style.fontSize.replace(/['\"]+/g, ''),\r\n            renderHTML: (attributes) => {\r\n              if (!attributes.fontSize) {\r\n                return {};\r\n              }\r\n\r\n              return {\r\n                style: `font-size: ${attributes.fontSize}`,\r\n              };\r\n            },\r\n          },\r\n        },\r\n      },\r\n    ];\r\n  },\r\n\r\n  addCommands() {\r\n    return {\r\n      setFontSize:\r\n        (fontSize) =>\r\n        ({ chain }) => {\r\n          return chain().setMark('textStyle', { fontSize }).run();\r\n        },\r\n      unsetFontSize:\r\n        () =>\r\n        ({ chain }) => {\r\n          return chain()\r\n            .setMark('textStyle', { fontSize: null })\r\n            .removeEmptyTextStyle()\r\n            .run();\r\n        },\r\n    };\r\n  },\r\n});\r\n","import '@tiptap/extension-text-style';\nimport { Extension } from '@tiptap/core';\n\nconst Color = Extension.create({\r\n    name: 'color',\r\n    addOptions() {\r\n        return {\r\n            types: ['textStyle'],\r\n        };\r\n    },\r\n    addGlobalAttributes() {\r\n        return [\r\n            {\r\n                types: this.options.types,\r\n                attributes: {\r\n                    color: {\r\n                        default: null,\r\n                        parseHTML: element => { var _a; return (_a = element.style.color) === null || _a === void 0 ? void 0 : _a.replace(/['\"]+/g, ''); },\r\n                        renderHTML: attributes => {\r\n                            if (!attributes.color) {\r\n                                return {};\r\n                            }\r\n                            return {\r\n                                style: `color: ${attributes.color}`,\r\n                            };\r\n                        },\r\n                    },\r\n                },\r\n            },\r\n        ];\r\n    },\r\n    addCommands() {\r\n        return {\r\n            setColor: color => ({ chain }) => {\r\n                return chain()\r\n                    .setMark('textStyle', { color })\r\n                    .run();\r\n            },\r\n            unsetColor: () => ({ chain }) => {\r\n                return chain()\r\n                    .setMark('textStyle', { color: null })\r\n                    .removeEmptyTextStyle()\r\n                    .run();\r\n            },\r\n        };\r\n    },\r\n});\n\nexport { Color, Color as default };\n//# sourceMappingURL=index.js.map\n","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('div',{staticClass:\"editor-toolbar\"},[_c('custom-dropdown',{attrs:{\"custom-class\":\"font-family-dropdown\"},scopedSlots:_vm._u([{key:\"selected-item\",fn:function(){return [_vm._v(\" \"+_vm._s(( _vm.fontList.find((font) => font.label === _vm.attributes.fontFamily) || { id: '', } ).label)+\" \")]},proxy:true},{key:\"dropdown-items\",fn:function(){return _vm._l((_vm.fontList),function(item,index){return _c('custom-dropdown-item',{key:index,attrs:{\"value\":`${item}`},on:{\"change\":() => _vm.$emit('update:attributes', { fontFamily: item.label })}},[_vm._v(\" \"+_vm._s(item.label)+\" \")])})},proxy:true}])}),_c('custom-dropdown',{attrs:{\"custom-class\":\"font-size-dropdown\"},scopedSlots:_vm._u([{key:\"selected-item\",fn:function(){return [_vm._v(\" \"+_vm._s(( _vm.sizeList.find((size) => size.label === _vm.attributes.fontSizePT) || { id: '', } ).label)+\" \")]},proxy:true},{key:\"dropdown-items\",fn:function(){return _vm._l((_vm.sizeList),function(item,index){return _c('custom-dropdown-item',{key:index,attrs:{\"value\":`${item}`},on:{\"change\":() => _vm.$emit('update:attributes', { fontSizePT: item.label })}},[_vm._v(\" \"+_vm._s(item.label)+\" \")])})},proxy:true}])}),_c('div',{staticClass:\"color__container\"},[_c('color-dropdown',{directives:[{name:\"show\",rawName:\"v-show\",value:(!_vm.hideColorsDropdown),expression:\"!hideColorsDropdown\"}],staticClass:\"color__combobox\",attrs:{\"id\":'color-selector-text',\"theme\":'Dark',\"selected-color\":_vm.selectedPmsColor,\"item-list\":_vm.allPmsColors},on:{\"replace-with\":(colorName) => _vm.$emit('update:attributes', { colorName })}}),_c('div',{directives:[{name:\"show\",rawName:\"v-show\",value:(_vm.hideColorsDropdown),expression:\"hideColorsDropdown\"}],staticClass:\"color__combobox\"})],1),_vm._l((['bold', 'italic']),function(variant){return _c('cv-icon-button',{key:variant,attrs:{\"kind\":(_vm.attributes.fontWeight === 'bold' && variant === 'bold') ||\n      (_vm.attributes.fontStyle === 'italic' && variant === 'italic')\n        ? 'primary'\n        : 'secondary',\"label\":variant,\"tip-position\":\"bottom\",\"tip-alignment\":\"center\"},on:{\"click\":function($event){return _vm.$emit('update:attributes', {\n        [variant === 'bold' ? 'fontWeight' : 'fontStyle']: variant,\n      })}},scopedSlots:_vm._u([{key:\"icon\",fn:function(){return [_c(`text-${variant}-20`,{tag:\"component\"})]},proxy:true}],null,true)})}),_c('div',{on:{\"mouseover\":function($event){_vm.hover = true},\"mouseleave\":function($event){_vm.hover = false}}},[_c('cv-icon-button',{attrs:{\"kind\":\"secondary\",\"label\":\"align-left\",\"tip-position\":\"top\",\"tip-alignment\":\"end\"},scopedSlots:_vm._u([{key:\"icon\",fn:function(){return [_c(`text-align-left-20`,{tag:\"component\"})]},proxy:true}])}),(_vm.hover)?_c('div',{style:({ color: 'white' }),attrs:{\"id\":\"submenu--align\"}},_vm._l((['align-left', 'align-center', 'align-right']),function(icon,index){return _c('cv-icon-button',{key:index,attrs:{\"tip-position\":\"bottom\",\"tip-alignment\":\"center\",\"kind\":(_vm.attributes.textAlign === 'left' && icon === 'align-left') ||\n          (_vm.attributes.textAlign === 'right' && icon === 'align-right') ||\n          (_vm.attributes.textAlign === 'center' && icon === 'align-center')\n            ? 'primary'\n            : 'secondary',\"label\":icon},on:{\"click\":function($event){_vm.$emit('update:attributes', { textAlign: icon.slice(6) })}},scopedSlots:_vm._u([{key:\"icon\",fn:function(){return [_c(`text-${icon}-20`,{tag:\"component\"})]},proxy:true}],null,true)})}),1):_vm._e()],1)],2)\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","/**\n * Copyright IBM Corp. 2019, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nimport { c as createSVGComponent } from '../utils-9450cd75.js';\nimport '@carbon/icon-helpers';\nimport 'vue';\n\nconst TextAlignLeft20 = createSVGComponent('TextAlignLeft20', {\n  \"xmlns\": \"http://www.w3.org/2000/svg\",\n  \"viewBox\": \"0 0 32 32\",\n  \"fill\": \"currentColor\",\n  \"width\": 20,\n  \"height\": 20\n}, [{\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M12 6H26V8H12zM12 12H22V14H12zM12 18H26V20H12zM12 24H22V26H12zM6 4H8V28H6z\"\n  }\n}]);\n\nexport { TextAlignLeft20 as default };\n","/**\n * Copyright IBM Corp. 2019, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nimport { c as createSVGComponent } from '../utils-9450cd75.js';\nimport '@carbon/icon-helpers';\nimport 'vue';\n\nconst TextAlignCenter20 = createSVGComponent('TextAlignCenter20', {\n  \"xmlns\": \"http://www.w3.org/2000/svg\",\n  \"viewBox\": \"0 0 32 32\",\n  \"fill\": \"currentColor\",\n  \"width\": 20,\n  \"height\": 20\n}, [{\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M6 6H26V8H6zM10 12H22V14H10zM6 18H26V20H6zM10 24H22V26H10z\"\n  }\n}]);\n\nexport { TextAlignCenter20 as default };\n","/**\n * Copyright IBM Corp. 2019, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nimport { c as createSVGComponent } from '../utils-9450cd75.js';\nimport '@carbon/icon-helpers';\nimport 'vue';\n\nconst TextAlignRight20 = createSVGComponent('TextAlignRight20', {\n  \"xmlns\": \"http://www.w3.org/2000/svg\",\n  \"viewBox\": \"0 0 32 32\",\n  \"fill\": \"currentColor\",\n  \"width\": 20,\n  \"height\": 20\n}, [{\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M6 6H20V8H6zM10 12H20V14H10zM6 18H20V20H6zM10 24H20V26H10zM24 4H26V28H24z\"\n  }\n}]);\n\nexport { TextAlignRight20 as default };\n","/**\n * Copyright IBM Corp. 2019, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nimport { c as createSVGComponent } from '../utils-9450cd75.js';\nimport '@carbon/icon-helpers';\nimport 'vue';\n\nconst TextBold20 = createSVGComponent('TextBold20', {\n  \"xmlns\": \"http://www.w3.org/2000/svg\",\n  \"viewBox\": \"0 0 32 32\",\n  \"fill\": \"currentColor\",\n  \"width\": 20,\n  \"height\": 20\n}, [{\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M18.25,25H9V7h8.5a5.25,5.25,0,0,1,4,8.65A5.25,5.25,0,0,1,18.25,25ZM12,22h6.23a2.25,2.25,0,1,0,0-4.5H12Zm0-7.5h5.5a2.25,2.25,0,1,0,0-4.5H12Z\"\n  }\n}]);\n\nexport { TextBold20 as default };\n","/**\n * Copyright IBM Corp. 2019, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nimport { c as createSVGComponent } from '../utils-9450cd75.js';\nimport '@carbon/icon-helpers';\nimport 'vue';\n\nconst TextItalic20 = createSVGComponent('TextItalic20', {\n  \"xmlns\": \"http://www.w3.org/2000/svg\",\n  \"viewBox\": \"0 0 32 32\",\n  \"fill\": \"currentColor\",\n  \"width\": 20,\n  \"height\": 20\n}, [{\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M25 9L25 7 12 7 12 9 17.14 9 12.77 23 7 23 7 25 20 25 20 23 14.86 23 19.23 9 25 9z\"\n  }\n}]);\n\nexport { TextItalic20 as default };\n","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('cv-dropdown',{attrs:{\"value\":_vm.selected},on:{\"change\":(id) =>\n      _vm.$emit('update', {\n        ..._vm.items.find((item) => item.id.toString() === id),\n      })}},_vm._l((_vm.items),function(item){return _c('cv-dropdown-item',{key:item.id,attrs:{\"value\":item.id.toString()}},[_c('pre',{style:({\n        backgroundColor: '#393939',\n        overflow: 'hidden',\n        paddingTop: '2px',\n        paddingBottom: '5px',\n      })},[_vm._v(_vm._s(item.label))])])}),1)\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","\r\nimport Vue from 'vue';\r\nimport { CvDropdown, CvDropdownItem } from '@carbon/vue';\r\nexport default Vue.extend({\r\n  name: 'DropDown',\r\n  components: {\r\n    CvDropdown,\r\n    CvDropdownItem,\r\n  },\r\n  inheritAttrs: false,\r\n  props: {\r\n    items: {\r\n      type: Array,\r\n      required: true,\r\n    },\r\n    selected: {\r\n      type: String,\r\n      default() {\r\n        return '';\r\n      },\r\n    },\r\n  },\r\n  methods: {\r\n    log: console.log,\r\n  },\r\n});\r\n","import mod from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/ts-loader/index.js??ref--15-2!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./DropDown.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/ts-loader/index.js??ref--15-2!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./DropDown.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./DropDown.vue?vue&type=template&id=1251ef22\"\nimport script from \"./DropDown.vue?vue&type=script&lang=ts\"\nexport * from \"./DropDown.vue?vue&type=script&lang=ts\"\n\n\n/* normalize component */\nimport normalizer from \"!../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  null,\n  null,\n  null\n  ,true\n)\n\nexport default component.exports","export const fontSizesList = [\r\n  { id: 0, label: 2 },\r\n  { id: 1, label: 4 },\r\n  { id: 2, label: 6 },\r\n  { id: 3, label: 8 },\r\n  { id: 4, label: 10 },\r\n  { id: 5, label: 11 },\r\n  { id: 6, label: 12 },\r\n  { id: 7, label: 13 },\r\n  { id: 8, label: 14 },\r\n  { id: 9, label: 15 },\r\n  { id: 10, label: 16 },\r\n  { id: 11, label: 17 },\r\n  { id: 12, label: 18 },\r\n  { id: 13, label: 19 },\r\n  { id: 14, label: 20 },\r\n  { id: 15, label: 21 },\r\n  { id: 16, label: 22 },\r\n  { id: 17, label: 23 },\r\n  { id: 18, label: 24 },\r\n  { id: 19, label: 25 },\r\n  { id: 20, label: 26 },\r\n  { id: 21, label: 27 },\r\n  { id: 22, label: 28 },\r\n  { id: 23, label: 29 },\r\n  { id: 24, label: 30 },\r\n  { id: 25, label: 32 },\r\n  { id: 26, label: 34 },\r\n  { id: 27, label: 36 },\r\n  { id: 28, label: 38 },\r\n  { id: 29, label: 40 },\r\n  { id: 30, label: 42 },\r\n  { id: 31, label: 44 },\r\n  { id: 32, label: 48 },\r\n  { id: 33, label: 50 },\r\n  { id: 34, label: 54 },\r\n  { id: 35, label: 58 },\r\n  { id: 36, label: 64 },\r\n  { id: 37, label: 68 },\r\n  { id: 38, label: 72 },\r\n  { id: 39, label: 74 },\r\n  { id: 40, label: 78 },\r\n  { id: 41, label: 84 },\r\n  { id: 42, label: 88 },\r\n  { id: 43, label: 96 },\r\n  { id: 44, label: 98 },\r\n  { id: 45, label: 102 },\r\n  { id: 46, label: 108 },\r\n  { id: 47, label: 112 },\r\n  { id: 48, label: 114 },\r\n  { id: 49, label: 116 },\r\n  { id: 50, label: 118 },\r\n  { id: 51, label: 120 },\r\n  { id: 52, label: 124 },\r\n  { id: 53, label: 128 },\r\n  { id: 54, label: 132 },\r\n  { id: 55, label: 138 },\r\n];\r\n","export const fontList = [\r\n  { id: 0, label: 'Roboto' },\r\n  { id: 1, label: 'Open Sans' },\r\n  { id: 2, label: 'Montserrat' },\r\n  { id: 3, label: 'Poppins' },\r\n  { id: 4, label: 'Nunito' },\r\n  { id: 5, label: 'Source Sans Pro' },\r\n  { id: 6, label: 'Oxygen' },\r\n  { id: 7, label: 'Sora' },\r\n  { id: 8, label: 'Hahmlet' },\r\n  { id: 9, label: 'Andada Pro' },\r\n  { id: 10, label: 'Epilogue' },\r\n  { id: 11, label: 'JetBrains Mono' },\r\n  { id: 12, label: 'Inter' },\r\n  { id: 13, label: 'Encode Sans' },\r\n  { id: 14, label: 'Manrope' },\r\n  { id: 15, label: 'Lora' },\r\n  { id: 16, label: 'Playfair Display' },\r\n  { id: 17, label: 'Archivo' },\r\n  { id: 18, label: 'Oswald' },\r\n  { id: 19, label: 'Cormorant' },\r\n];\r\n","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('ul',{directives:[{name:\"on-clickaway\",rawName:\"v-on-clickaway\",value:(_vm.onClickAway),expression:\"onClickAway\"}],class:[{ 'bx--dropdown--open': _vm.isOpen }, _vm.customClass],attrs:{\"tabindex\":\"0\"},on:{\"click\":_vm.toggle}},[_c('button',{staticClass:\"bx--list-box__field\"},[_vm._t(\"selected-item\"),_c('div',{staticClass:\"bx--list-box__menu-icon\",class:{ ' bx--list-box__menu-icon--open': _vm.isOpen }},[_c('svg',{attrs:{\"focusable\":\"false\",\"preserveAspectRatio\":\"xMidYMid meet\",\"xmlns\":\"http://www.w3.org/2000/svg\",\"fill\":\"currentColor\",\"aria-label\":\"Close menu\",\"width\":\"16\",\"height\":\"16\",\"viewBox\":\"0 0 16 16\",\"role\":\"img\"}},[_c('path',{attrs:{\"d\":\"M8 11L3 6 3.7 5.3 8 9.6 12.3 5.3 13 6z\"}})])])],2),_c('li',[_c('ul',{staticClass:\"bx--dropdown-list\"},[_vm._t(\"dropdown-items\")],2)])])\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","\r\nimport Vue from 'vue';\r\nimport { mixin as clickaway } from 'vue-clickaway';\r\n\r\nexport default Vue.extend({\r\n  mixins: [clickaway],\r\n  props: {\r\n    customClass: {\r\n      type: String,\r\n      required: false,\r\n      default: '',\r\n    },\r\n  },\r\n  data() {\r\n    return {\r\n      isOpen: false,\r\n    };\r\n  },\r\n  methods: {\r\n    toggle() {\r\n      this.isOpen = !this.isOpen;\r\n    },\r\n    onClickAway() {\r\n      this.isOpen = false;\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./Dropdown.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./Dropdown.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./Dropdown.vue?vue&type=template&id=7d258c63&scoped=true\"\nimport script from \"./Dropdown.vue?vue&type=script&lang=ts\"\nexport * from \"./Dropdown.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./Dropdown.vue?vue&type=style&index=0&id=7d258c63&prod&lang=scss&scoped=true\")\nif (style0.__inject__) style0.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  \"7d258c63\",\n  null\n  ,true\n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('li',{staticClass:\"cv-dropdown-item bx--dropdown-item bx--dropdown-link\",on:{\"click\":function($event){return _vm.$emit('change', _vm.value)}}},[_vm._t(\"default\")],2)\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","\r\nimport Vue from 'vue';\r\nexport default Vue.extend({\r\n  props: {\r\n    value: {\r\n      type: String,\r\n      required: true,\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./DropdownItem.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./DropdownItem.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./DropdownItem.vue?vue&type=template&id=5f42600e&scoped=true\"\nimport script from \"./DropdownItem.vue?vue&type=script&lang=ts\"\nexport * from \"./DropdownItem.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./DropdownItem.vue?vue&type=style&index=0&id=5f42600e&prod&lang=scss&scoped=true\")\nif (style0.__inject__) style0.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  \"5f42600e\",\n  null\n  ,true\n)\n\nexport default component.exports","\r\nimport Vue, { PropType } from 'vue';\r\nimport {\r\n  CvIconButton,\r\n  CvComboBox,\r\n  CvDropdown,\r\n  CvDropdownItem,\r\n} from '@carbon/vue';\r\nimport {\r\n  TextAlignLeft20,\r\n  TextAlignCenter20,\r\n  TextAlignRight20,\r\n  TextBold20,\r\n  TextItalic20,\r\n} from '@carbon/icons-vue';\r\nimport DropDown from './DropDown.vue';\r\nimport { colorArrayToColorRGBA } from '@/utils';\r\nimport { fontSizesList } from '@/constants/fontSizes';\r\nimport { fontList } from '@/constants/fontList';\r\nimport { ColorDropdown } from '@/web-components/import-wizard/components/sections/color-management/ColorDropdown';\r\nimport {\r\n  CustomDropdown,\r\n  CustomDropdownItem,\r\n} from '../../libs/proof-approval/proofVersions/CustomDropdown';\r\nimport { PmsColor } from '@midocean/webapps-shared-domain';\r\n\r\nexport default Vue.extend({\r\n  name: 'TipTapToolbar',\r\n  components: {\r\n    CvIconButton,\r\n    TextAlignLeft20,\r\n    TextAlignCenter20,\r\n    TextAlignRight20,\r\n    TextBold20,\r\n    TextItalic20,\r\n    CvComboBox,\r\n    DropDown,\r\n    ColorDropdown,\r\n    CvDropdown,\r\n    CvDropdownItem,\r\n    CustomDropdown,\r\n    CustomDropdownItem,\r\n  },\r\n  props: {\r\n    attributes: {\r\n      type: Object,\r\n      required: true,\r\n    },\r\n\r\n    colorList: {\r\n      type: Array as PropType<PmsColor[]>,\r\n      default() {\r\n        return [];\r\n      },\r\n    },\r\n\r\n    hideColorsDropdown: {\r\n      type: Boolean,\r\n      required: true,\r\n      default: false,\r\n    },\r\n  },\r\n  data() {\r\n    return {\r\n      hover: false,\r\n      fontList: fontList,\r\n      sizeList: fontSizesList,\r\n    };\r\n  },\r\n  computed: {\r\n    rgba() {\r\n      return colorArrayToColorRGBA(this.attributes.color);\r\n    },\r\n    selectedPmsColor(): PmsColor {\r\n      return (\r\n        this.colorList.find((c) => c.name === this.attributes.colorName) ||\r\n        ({} as PmsColor)\r\n      );\r\n    },\r\n    allPmsColors(): PmsColor[] {\r\n      return this.colorList;\r\n    },\r\n  },\r\n  watch: {\r\n    attributes() {\r\n      const elementInWC = document.querySelector('w2p-import-wizard-wrapper');\r\n      const oldVersionInWc = document.querySelector('w2p-import-wizard');\r\n      if (elementInWC?.shadowRoot) {\r\n        const fontFamilyLabel = elementInWC.shadowRoot.querySelectorAll(\r\n          '.bx--list-box__field'\r\n        )[0] as HTMLElement;\r\n        fontFamilyLabel.style.fontFamily = this.attributes.fontFamily;\r\n      } else if (oldVersionInWc && oldVersionInWc.shadowRoot) {\r\n        const fontFamilyLabel = oldVersionInWc.shadowRoot.querySelectorAll(\r\n          '.bx--list-box__field'\r\n        )[0] as HTMLElement;\r\n        fontFamilyLabel.style.fontFamily = this.attributes.fontFamily;\r\n      } else {\r\n        const fontFamilyLabel = document.querySelectorAll(\r\n          '.bx--list-box__field'\r\n        )[0] as HTMLElement;\r\n        fontFamilyLabel.style.fontFamily = this.attributes.fontFamily;\r\n      }\r\n    },\r\n  },\r\n  mounted() {\r\n    const wrapperClass = 'bx--dropdown-list';\r\n    const selectedFont = (\r\n      fontList.find((font) => font.label === this.attributes.fontFamily) || {\r\n        id: '',\r\n      }\r\n    ).id.toString();\r\n    const selectedSize = (\r\n      fontSizesList.find(\r\n        (size) => size.label === this.attributes.fontSizePT\r\n      ) || {\r\n        id: '',\r\n      }\r\n    ).id.toString();\r\n    const elementInWC = document.querySelector('w2p-import-wizard-wrapper');\r\n    if (elementInWC?.shadowRoot) {\r\n      const fontFamilywrapper = elementInWC.shadowRoot\r\n        .querySelectorAll('.font-family-dropdown')[0]\r\n        .getElementsByClassName(wrapperClass)[0];\r\n      const fontSizeWrapper = elementInWC.shadowRoot\r\n        .querySelectorAll('.font-size-dropdown')[0]\r\n        .getElementsByClassName(wrapperClass)[0];\r\n\r\n      fontFamilywrapper.scroll(0, 38 * +selectedFont);\r\n      fontSizeWrapper.scroll(0, 38 * +selectedSize);\r\n\r\n      const fontFamilyLabels = elementInWC.shadowRoot\r\n        .querySelectorAll('.font-family-dropdown')[0]\r\n        .getElementsByClassName(wrapperClass)[0];\r\n\r\n      var itemsCollectionShadow =\r\n        fontFamilyLabels.getElementsByClassName('cv-dropdown-item');\r\n\r\n      for (let i = 0; i < fontFamilyLabels.childNodes.length; i++) {\r\n        var htmlElementShadow = itemsCollectionShadow[i] as HTMLElement;\r\n        htmlElementShadow.style.fontFamily = fontList[i].label;\r\n        htmlElementShadow.style.fontSize = '9pt';\r\n      }\r\n\r\n      const fontFamilyLabel = elementInWC.shadowRoot.querySelectorAll(\r\n        '.bx--list-box__field'\r\n      )[0] as HTMLElement;\r\n\r\n      fontFamilyLabel.style.fontFamily = this.attributes.fontFamily;\r\n    }\r\n\r\n    const oldVersionInWc = document.querySelector('w2p-import-wizard');\r\n    if (oldVersionInWc?.shadowRoot) {\r\n      const fontFamilywrapper = oldVersionInWc.shadowRoot\r\n        .querySelectorAll('.font-family-dropdown')[0]\r\n        .getElementsByClassName(wrapperClass)[0];\r\n      const fontSizeWrapper = oldVersionInWc.shadowRoot\r\n        .querySelectorAll('.font-size-dropdown')[0]\r\n        .getElementsByClassName(wrapperClass)[0];\r\n\r\n      fontFamilywrapper.scroll(0, 38 * +selectedFont);\r\n      fontSizeWrapper.scroll(0, 38 * +selectedSize);\r\n\r\n      const fontFamilyLabels = oldVersionInWc.shadowRoot\r\n        .querySelectorAll('.font-family-dropdown')[0]\r\n        .getElementsByClassName(wrapperClass)[0];\r\n\r\n      var itemsCollectionShadowOld =\r\n        fontFamilyLabels.getElementsByClassName('cv-dropdown-item');\r\n\r\n      for (let i = 0; i < fontFamilyLabels.childNodes.length; i++) {\r\n        var htmlElementShadowOld = itemsCollectionShadowOld[i] as HTMLElement;\r\n        htmlElementShadowOld.style.fontFamily = fontList[i].label;\r\n        htmlElementShadowOld.style.fontSize = '9pt';\r\n      }\r\n\r\n      const fontFamilyLabel = oldVersionInWc.shadowRoot.querySelectorAll(\r\n        '.bx--list-box__field'\r\n      )[0] as HTMLElement;\r\n\r\n      fontFamilyLabel.style.fontFamily = this.attributes.fontFamily;\r\n    }\r\n\r\n    if (!elementInWC?.shadowRoot && !oldVersionInWc?.shadowRoot) {\r\n      const fontFamilywrapper = document\r\n        .querySelectorAll('.font-family-dropdown')[0]\r\n        .getElementsByClassName(wrapperClass)[0];\r\n      const fontSizeWrapper = document\r\n        .querySelectorAll('.font-size-dropdown')[0]\r\n        .getElementsByClassName(wrapperClass)[0];\r\n\r\n      fontFamilywrapper.scroll(0, 38 * +selectedFont);\r\n      fontSizeWrapper.scroll(0, 38 * +selectedSize);\r\n\r\n      const fontFamilyLabels = document\r\n        .querySelectorAll('.font-family-dropdown')[0]\r\n        .getElementsByClassName(wrapperClass)[0];\r\n      var itemsCollection =\r\n        fontFamilyLabels.getElementsByClassName('cv-dropdown-item');\r\n\r\n      for (let i = 0; i < fontFamilyLabels.childNodes.length; i++) {\r\n        var htmlElement = itemsCollection[i] as HTMLElement;\r\n        htmlElement.style.fontFamily = fontList[i].label;\r\n        htmlElement.style.fontSize = '9pt';\r\n      }\r\n\r\n      const fontFamilyLabel = document.querySelectorAll(\r\n        '.bx--list-box__field'\r\n      )[0] as HTMLElement;\r\n\r\n      fontFamilyLabel.style.fontFamily = this.attributes.fontFamily;\r\n    }\r\n  },\r\n  methods: {\r\n    log: console.log,\r\n    colorArrayToColorRGBA,\r\n  },\r\n});\r\n","import mod from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/ts-loader/index.js??ref--15-2!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./TiptapToolbar.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/ts-loader/index.js??ref--15-2!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./TiptapToolbar.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./TiptapToolbar.vue?vue&type=template&id=9c6e33ac&scoped=true\"\nimport script from \"./TiptapToolbar.vue?vue&type=script&lang=ts\"\nexport * from \"./TiptapToolbar.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./TiptapToolbar.vue?vue&type=style&index=0&id=9c6e33ac&prod&lang=scss&scoped=true\")\nif (style0.__inject__) style0.__inject__(context)\nvar style1 = require(\"./TiptapToolbar.vue?vue&type=style&index=1&id=9c6e33ac&prod&lang=scss\")\nif (style1.__inject__) style1.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  \"9c6e33ac\",\n  null\n  ,true\n)\n\nexport default component.exports","/**\n * Copyright IBM Corp. 2019, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nimport { c as createSVGComponent } from '../utils-9450cd75.js';\nimport '@carbon/icon-helpers';\nimport 'vue';\n\nconst Close20 = createSVGComponent('Close20', {\n  \"xmlns\": \"http://www.w3.org/2000/svg\",\n  \"viewBox\": \"0 0 32 32\",\n  \"fill\": \"currentColor\",\n  \"width\": 20,\n  \"height\": 20\n}, [{\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M17.4141 16L24 9.4141 22.5859 8 16 14.5859 9.4143 8 8 9.4141 14.5859 16 8 22.5859 9.4143 24 16 17.4141 22.5859 24 24 22.5859 17.4141 16z\"\n  }\n}]);\n\nexport { Close20 as default };\n","\r\nimport Vue, { PropType } from 'vue';\r\n\r\nimport { Editor, EditorContent } from '@tiptap/vue-2';\r\nimport StarterKit from '@tiptap/starter-kit';\r\nimport TextStyle from '@tiptap/extension-text-style';\r\nimport TextAlign from '@tiptap/extension-text-align';\r\nimport FontFamily from '@tiptap/extension-font-family';\r\nimport { FontSize } from './extensions/extension-font-size';\r\nimport Color from '@tiptap/extension-color';\r\nimport TiptapToolbar from './TiptapToolbar.vue';\r\nimport { CvIconButton, CvButton } from '@carbon/vue';\r\nimport { colorArrayToColorRGBA } from '@/utils';\r\n\r\nimport Close20 from '@carbon/icons-vue/es/close/20';\r\nimport { useStore as useShapeStore } from '@/stores/shape';\r\nimport { useStore as useProductStore } from '@/stores/product';\r\nimport { useStore as useHistoryStore } from '@/stores/history';\r\nimport { useStore as useColosManagementStore } from '@/stores/colorsManagement';\r\nimport { useStore as useNotificationStore } from '@/stores/notification';\r\nimport { mapState, mapActions } from 'pinia';\r\nimport { generateEventPayload } from '@/utils/generatePriceParamsEventPayload';\r\nimport cloneDeep from 'lodash.clonedeep';\r\n\r\nexport type CustomEditorAttributes = {\r\n  fontSize: number;\r\n  fontSizePT: number;\r\n  fontFamily: string;\r\n  fontWeight: string;\r\n  fontStyle: string;\r\n  fontVariant: string;\r\n  lineHeight: number;\r\n  color: [number, number, number, number?];\r\n  textAlign: string;\r\n  text: string;\r\n  textHtml: string;\r\n  colorName: string;\r\n};\r\n\r\nexport default Vue.extend({\r\n  components: {\r\n    EditorContent,\r\n    TiptapToolbar,\r\n    CvIconButton,\r\n    CvButton,\r\n    Close20,\r\n  },\r\n\r\n  props: {\r\n    id: {\r\n      type: String,\r\n      required: true,\r\n    },\r\n    attributes: {\r\n      type: Object as PropType<CustomEditorAttributes>,\r\n      required: true,\r\n    },\r\n  },\r\n\r\n  data() {\r\n    return {\r\n      editor: null as unknown as Editor,\r\n      // store original attributes on mounted, so we can revert to them in case of cancelling the editor\r\n      originalAttributes: {} as CustomEditorAttributes,\r\n      // store previewed attributes so we :\r\n      // - don't update it again on apply if nothing was changed\r\n      // - revert to original attributes if preview occurred\r\n      previewAttributes: {} as CustomEditorAttributes,\r\n    };\r\n  },\r\n\r\n  computed: {\r\n    ...mapState(useColosManagementStore, ['availablePmsColors']),\r\n    ...mapState(useProductStore, [\r\n      'selectedPrintPosition',\r\n      'isLaserConverter',\r\n      'isDebossingTechnique',\r\n    ]),\r\n    ...mapState(useShapeStore, ['shapes', 'activeShapeId']),\r\n    originalImageWebDpi(): number {\r\n      return this.selectedPrintPosition.originalImageWebDpi;\r\n    },\r\n  },\r\n\r\n  mounted() {\r\n    this.editor = new Editor({\r\n      content: this.attributes.textHtml,\r\n      extensions: [\r\n        TextStyle,\r\n        TextAlign.configure({\r\n          types: ['paragraph'],\r\n          alignments: ['left', 'center', 'right'],\r\n        }),\r\n        Color.configure({\r\n          types: ['textStyle'],\r\n        }),\r\n        FontFamily.configure({\r\n          types: ['textStyle'],\r\n        }),\r\n        FontSize.configure({\r\n          types: ['textStyle'],\r\n        }),\r\n        StarterKit.configure({\r\n          heading: {\r\n            levels: [1, 2, 3],\r\n          },\r\n          paragraph: {\r\n            HTMLAttributes: {\r\n              class: 'w2p-text',\r\n              id: 'text',\r\n            },\r\n          },\r\n        }),\r\n      ],\r\n      onUpdate: ({ editor }) => {\r\n        const docContent = editor.getJSON().content;\r\n\r\n        const finalText = docContent\r\n          ? docContent\r\n              ?.map((c) => {\r\n                return c.content\r\n                  ? c.content\r\n                      ?.map((p) => p.text as string)\r\n                      .reduce((prev, curr) => prev + curr)\r\n                  : '';\r\n              })\r\n              .reduce((prev, curr) => prev + '\\n' + curr)\r\n          : '';\r\n\r\n        if (finalText.length === 0) {\r\n          if (this.attributes.fontWeight === 'bold') {\r\n            this.editor.chain().focus().toggleBold().run();\r\n          }\r\n          if (this.attributes.fontStyle === 'italic') {\r\n            this.editor.chain().focus().toggleItalic().run();\r\n          }\r\n          const [r, g, b, a] = this.attributes.color;\r\n          this.editor\r\n            .chain()\r\n            .focus()\r\n            .setFontFamily(this.attributes.fontFamily)\r\n            .setColor(`rgba(${r}, ${g}, ${b}, ${a ? a : 1})`)\r\n            .run();\r\n\r\n          this.editor\r\n            .chain()\r\n            .focus()\r\n            .setFontSize(`${this.attributes.fontSizePT}pt`)\r\n            .run();\r\n        }\r\n      },\r\n    });\r\n    this.init();\r\n\r\n    this.originalAttributes = cloneDeep(this.attributes);\r\n  },\r\n\r\n  beforeDestroy() {\r\n    this.editor.destroy();\r\n  },\r\n\r\n  methods: {\r\n    ...mapActions(useShapeStore, [\r\n      'removeTextPayload',\r\n      'updateShapeStateFromSnapshot',\r\n    ]),\r\n    ...mapActions(useHistoryStore, ['recordHistory', 'undo']),\r\n    ...mapActions(useNotificationStore, ['revalidateColorsOnly']),\r\n\r\n    updateAttributes({\r\n      fontFamily,\r\n      colorName,\r\n      fontWeight,\r\n      fontStyle,\r\n      textAlign,\r\n      fontSizePT,\r\n    }: CustomEditorAttributes & { colorName: string }) {\r\n      if (textAlign) {\r\n        this.attributes.textAlign = textAlign;\r\n        this.editor.chain().focus().selectAll().setTextAlign(textAlign).run();\r\n      }\r\n\r\n      if (fontWeight) {\r\n        this.editor.chain().focus().selectAll().toggleBold().run();\r\n        this.attributes.fontWeight = this.editor.isActive('bold')\r\n          ? 'bold'\r\n          : 'normal';\r\n      }\r\n\r\n      if (fontStyle) {\r\n        this.editor.chain().focus().selectAll().toggleItalic().run();\r\n        this.attributes.fontStyle = this.editor.isActive('italic')\r\n          ? 'italic'\r\n          : 'normal';\r\n      }\r\n\r\n      if (fontFamily) {\r\n        this.attributes.fontFamily = fontFamily;\r\n        this.editor.chain().focus().selectAll().setFontFamily(fontFamily).run();\r\n      }\r\n\r\n      if (fontSizePT) {\r\n        this.attributes.fontSizePT = fontSizePT;\r\n        this.editor\r\n          .chain()\r\n          .focus()\r\n          .selectAll()\r\n          .setFontSize(`${fontSizePT}pt`)\r\n          .run();\r\n      }\r\n\r\n      if (colorName) {\r\n        const foundColor = this.availablePmsColors.find(\r\n          (pms) => pms.name === colorName\r\n        );\r\n\r\n        if (foundColor) {\r\n          const { red: r, green: g, blue: b } = foundColor;\r\n          const colorRGBString = `rgb(${r},${g},${b})`;\r\n\r\n          this.attributes.colorName = colorName;\r\n          this.attributes.color = [\r\n            foundColor.red,\r\n            foundColor.green,\r\n            foundColor.blue,\r\n            foundColor.colorFuzz,\r\n          ];\r\n\r\n          this.editor\r\n            .chain()\r\n            .focus()\r\n            .selectAll()\r\n            .setColor(colorRGBString)\r\n            .setFontSize(`${this.attributes.fontSizePT}pt`)\r\n            .run();\r\n        }\r\n        const eventPayload = generateEventPayload();\r\n\r\n        this.$emit('wizard:price-params-changed', {\r\n          productPrintPositions: eventPayload,\r\n        });\r\n      }\r\n    },\r\n\r\n    /**\r\n     * Cancel out any changes done by preview actions\r\n     */\r\n    cancelSave() {\r\n      if (this.originalAttributes.text === '') {\r\n        this.removeTextPayload(this.id, false);\r\n        const notificationSore = useNotificationStore();\r\n        notificationSore.revalidateColorsOnly();\r\n      } else if (this.previewAttributes?.text) {\r\n        this.$emit('update:attributes', {\r\n          id: this.id,\r\n          ...this.originalAttributes,\r\n          repositionText: false,\r\n        });\r\n      }\r\n\r\n      this.$emit('text-editor:close');\r\n    },\r\n\r\n    applyText(previewOnly: boolean) {\r\n      const finalText = this.editor.getText();\r\n      this.attributes.text = finalText;\r\n      this.attributes.textHtml = this.editor.getHTML();\r\n\r\n      // if the text is being edited, we don't want to reposition it\r\n      const repositionText = this.originalAttributes.textHtml === '';\r\n\r\n      // store preview attributes and update pintura ff something was changed\r\n      if (previewOnly) {\r\n        if (\r\n          finalText &&\r\n          JSON.stringify(this.attributes) !==\r\n            JSON.stringify(this.originalAttributes) &&\r\n          JSON.stringify(this.attributes) !==\r\n            JSON.stringify(this.previewAttributes)\r\n        ) {\r\n          this.previewAttributes = cloneDeep(this.attributes);\r\n          this.$emit('update:attributes', {\r\n            id: this.id,\r\n            ...this.attributes,\r\n            repositionText: repositionText,\r\n          });\r\n        }\r\n      }\r\n      // if attributes were updated in editor or after preview, update pintura\r\n      else if (finalText) {\r\n        if (\r\n          JSON.stringify(this.attributes) !==\r\n            JSON.stringify(this.originalAttributes) &&\r\n          JSON.stringify(this.attributes) !==\r\n            JSON.stringify(this.previewAttributes)\r\n        ) {\r\n          this.$emit('update:attributes', {\r\n            id: this.id,\r\n            ...this.attributes,\r\n            repositionText: repositionText,\r\n          });\r\n        }\r\n        this.$emit('text-editor:close');\r\n        // remove shape if no text\r\n      } else {\r\n        this.removeTextPayload(this.id, false);\r\n        const notificationSore = useNotificationStore();\r\n        notificationSore.revalidateColorsOnly();\r\n        this.$emit('text-editor:close');\r\n      }\r\n    },\r\n\r\n    /**\r\n     * Bring editor into a state declared by attributes previously set on text\r\n     * shape\r\n     */\r\n    init() {\r\n      this.editor.commands.selectAll();\r\n\r\n      this.attributes.fontWeight === 'bold' && this.editor.commands.setBold();\r\n\r\n      this.attributes.fontStyle === 'italic' &&\r\n        this.editor.commands.setItalic();\r\n\r\n      this.attributes.fontFamily &&\r\n        this.editor.commands.setFontFamily(this.attributes.fontFamily);\r\n\r\n      this.attributes.textAlign &&\r\n        this.editor.commands.setTextAlign(this.attributes.textAlign);\r\n\r\n      if (this.attributes.fontSizePT) {\r\n        this.editor\r\n          .chain()\r\n          .focus()\r\n          .selectAll()\r\n          .setFontSize(`${this.attributes.fontSizePT}pt`)\r\n          .run();\r\n      }\r\n\r\n      let [r, g, b, a] = this.attributes.color;\r\n      if (this.isDebossingTechnique() || this.isLaserConverter()) {\r\n        [r, g, b, a] = [255, 255, 255, 1];\r\n        this.attributes.color = [255, 255, 255, 1];\r\n      }\r\n      this.editor.commands.setColor(`rgba(${r}, ${g}, ${b}, ${a ? a : 1})`);\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/ts-loader/index.js??ref--15-2!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./Tiptap.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/ts-loader/index.js??ref--15-2!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./Tiptap.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./Tiptap.vue?vue&type=template&id=404f2a36\"\nimport script from \"./Tiptap.vue?vue&type=script&lang=ts\"\nexport * from \"./Tiptap.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./Tiptap.vue?vue&type=style&index=0&id=404f2a36&prod&lang=scss\")\nif (style0.__inject__) style0.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  null,\n  null\n  ,true\n)\n\nexport default component.exports","import { AnnotationShape } from '@/web-components/import-wizard/typings';\r\nimport { checkIsInArea } from './collisionHelper';\r\nimport { useStore as useProductStore } from '@/stores/product';\r\n\r\nconst CORRECTION_FACTOR = 0;\r\n\r\nexport const alignLeftControl = (\r\n  rectLineWidth: number,\r\n  activeShape: AnnotationShape,\r\n  printableAreaShapeType: string\r\n): number => {\r\n  const productStore = useProductStore();\r\n  const printableArea = productStore.drawPoints();\r\n  const printableAreaRotation = productStore.rotation;\r\n\r\n  let isInRectangle = false;\r\n  const idx = 2;\r\n  let newX = printableArea.x - printableArea.w / 2;\r\n\r\n  if (printableAreaShapeType === 'Rectangle') {\r\n    while (isInRectangle === false) {\r\n      newX = newX + idx;\r\n      isInRectangle = checkIsInArea(\r\n        { ...activeShape, x: newX },\r\n        printableArea,\r\n        printableAreaShapeType,\r\n        printableAreaRotation,\r\n        rectLineWidth\r\n      );\r\n    }\r\n    return newX;\r\n  } else if (printableAreaShapeType === 'Ellipse') {\r\n    let isInEllipse = false;\r\n    let idx = 1;\r\n\r\n    while (isInEllipse === false) {\r\n      //newX = printableArea.x - printableArea.rx + idx * CORRECTION_FACTOR;\r\n      newX = printableArea.x - printableArea.rx + idx;\r\n      isInEllipse = checkIsInArea(\r\n        { ...activeShape, x: newX },\r\n        printableArea,\r\n        printableAreaShapeType,\r\n        printableAreaRotation,\r\n        rectLineWidth\r\n      );\r\n      idx = idx + 1;\r\n    }\r\n    return newX;\r\n  }\r\n\r\n  return newX;\r\n};\r\n\r\nexport const alignRightControl = (\r\n  rectLineWidth: number,\r\n  activeShape: AnnotationShape,\r\n  printableAreaShapeType: string,\r\n  actualWidth: number\r\n): number => {\r\n  const productStore = useProductStore();\r\n\r\n  const printableArea = productStore.drawPoints();\r\n  const printableAreaRotation = productStore.rotation;\r\n\r\n  let isInRectangle = false;\r\n  const idx = 2;\r\n  let newX = productStore.drawPoints().x + productStore.drawPoints().w;\r\n\r\n  if (printableAreaShapeType === 'Rectangle') {\r\n    while (isInRectangle === false) {\r\n      newX = newX - idx;\r\n      isInRectangle = checkIsInArea(\r\n        { ...activeShape, x: newX },\r\n        printableArea,\r\n        printableAreaShapeType,\r\n        printableAreaRotation,\r\n        rectLineWidth\r\n      );\r\n    }\r\n    return newX;\r\n  } else if (printableAreaShapeType === 'Ellipse') {\r\n    let isInEllipse = false;\r\n    let idx = 1;\r\n\r\n    while (isInEllipse === false) {\r\n      newX =\r\n        productStore.drawPoints().x +\r\n        productStore.drawPoints().rx * 2 +\r\n        actualWidth -\r\n        //idx * CORRECTION_FACTOR;\r\n        idx;\r\n      isInEllipse = checkIsInArea(\r\n        { ...activeShape, x: newX },\r\n        printableArea,\r\n        printableAreaShapeType,\r\n        printableAreaRotation,\r\n        rectLineWidth\r\n      );\r\n      idx = idx + 1;\r\n    }\r\n    return newX;\r\n  }\r\n\r\n  return newX;\r\n};\r\n\r\nexport const alignTopControl = (\r\n  rectLineWidth: number,\r\n  activeShape: AnnotationShape,\r\n  printableAreaShapeType: string\r\n): number => {\r\n  const productStore = useProductStore();\r\n\r\n  const printableArea = productStore.drawPoints();\r\n  const printableAreaRotation = productStore.rotation;\r\n  let newY = 0;\r\n\r\n  if (printableAreaShapeType === 'Rectangle') {\r\n    let isInRectangle = false;\r\n    let idx = 1;\r\n\r\n    while (isInRectangle === false) {\r\n      //newY = productStore.drawPoints().y + idx * CORRECTION_FACTOR;\r\n      newY = productStore.drawPoints().y + idx;\r\n      isInRectangle = checkIsInArea(\r\n        {\r\n          ...activeShape,\r\n          y: newY,\r\n        },\r\n        printableArea,\r\n        printableAreaShapeType,\r\n        printableAreaRotation,\r\n        rectLineWidth\r\n      );\r\n      idx = idx + 1;\r\n    }\r\n    return newY;\r\n  } else if (printableAreaShapeType === 'Ellipse') {\r\n    let isInEllipse = false;\r\n    let idx = 1;\r\n    while (isInEllipse === false) {\r\n      newY =\r\n        productStore.drawPoints().y -\r\n        productStore.drawPoints().ry +\r\n        //idx * CORRECTION_FACTOR;\r\n        idx;\r\n      isInEllipse = checkIsInArea(\r\n        {\r\n          ...activeShape,\r\n          y: newY,\r\n        },\r\n        printableArea,\r\n        printableAreaShapeType,\r\n        printableAreaRotation,\r\n        rectLineWidth\r\n      );\r\n      idx = idx + 1;\r\n    }\r\n    return newY;\r\n  }\r\n\r\n  return newY;\r\n};\r\n\r\nexport const alignBottomControl = (\r\n  rectLineWidth: number,\r\n  activeShape: AnnotationShape,\r\n  printableAreaShapeType: string,\r\n  actualHeight: number\r\n): number => {\r\n  const productStore = useProductStore();\r\n  const printableArea = productStore.drawPoints();\r\n  const printableAreaRotation = productStore.rotation;\r\n  let newY = 0;\r\n\r\n  if (printableAreaShapeType === 'Rectangle') {\r\n    let isInRectangle = false;\r\n    let idx = 1;\r\n\r\n    while (isInRectangle === false) {\r\n      newY =\r\n        productStore.drawPoints().y +\r\n        productStore.drawPoints().h -\r\n        actualHeight -\r\n        //idx * CORRECTION_FACTOR;\r\n        idx;\r\n      isInRectangle = checkIsInArea(\r\n        {\r\n          ...activeShape,\r\n          y: newY,\r\n        },\r\n        printableArea,\r\n        printableAreaShapeType,\r\n        printableAreaRotation,\r\n        rectLineWidth\r\n      );\r\n      idx = idx + 1;\r\n    }\r\n    return newY;\r\n  } else if (printableAreaShapeType === 'Ellipse') {\r\n    let isInEllipse = false;\r\n    let idx = 1;\r\n    while (isInEllipse === false) {\r\n      newY =\r\n        productStore.drawPoints().y +\r\n        productStore.drawPoints().ry -\r\n        actualHeight -\r\n        //idx * CORRECTION_FACTOR;\r\n        idx;\r\n      isInEllipse = checkIsInArea(\r\n        {\r\n          ...activeShape,\r\n          y: newY,\r\n        },\r\n        printableArea,\r\n        printableAreaShapeType,\r\n        printableAreaRotation,\r\n        rectLineWidth\r\n      );\r\n      idx = idx + 1;\r\n    }\r\n    return newY;\r\n  }\r\n\r\n  return newY;\r\n};\r\n","export type Tool = {\r\n  section: 'top' | 'bottom';\r\n  label: string;\r\n  group: string;\r\n  icon?: () => Promise<unknown> | string;\r\n  control: string;\r\n  args: Record<string, string>;\r\n  id: string;\r\n};\r\nexport const createCustomTools = function createCustomTools(): Tool[] {\r\n  return [\r\n    {\r\n      section: 'top',\r\n      label: 'apply-modal-control',\r\n      group: 'g0',\r\n      icon: () => import('@carbon/icons-vue/es/image/20'),\r\n      control: 'apply-modal-control',\r\n      id: 'logo-library',\r\n      args: {},\r\n    },\r\n    {\r\n      section: 'top',\r\n      label: 'apply-text-control',\r\n      group: 'g1',\r\n      icon: () => import('@carbon/icons-vue/es/text--creation/20'),\r\n      control: 'apply-text-control',\r\n      id: 'add-text',\r\n      args: {\r\n        label: 'T',\r\n        // eslint-disable-next-line @typescript-eslint/no-var-requires\r\n        template: require('../templates').defaultTextTemplate,\r\n      },\r\n    },\r\n    {\r\n      section: 'top',\r\n      label: 'apply-pan-mode',\r\n      group: 'g2',\r\n      icon: undefined,\r\n      control: 'apply-pan-mode',\r\n      id: 'move-image',\r\n      args: {\r\n        name: 'pan',\r\n      },\r\n    },\r\n    {\r\n      section: 'top',\r\n      label: 'apply-select-mode',\r\n      group: 'g3',\r\n      icon: undefined,\r\n      control: 'apply-select-mode',\r\n      id: 'move-logo',\r\n      args: {\r\n        name: 'auto',\r\n      },\r\n    },\r\n    {\r\n      section: 'top',\r\n      label: 'lanyard-options',\r\n      group: 'g4',\r\n      icon: undefined,\r\n      control: 'lanyard-options',\r\n      id: 'lanyard',\r\n      args: {},\r\n    },\r\n    {\r\n      section: 'top',\r\n      label: 'round-item-options',\r\n      group: 'g5',\r\n      icon: undefined,\r\n      control: 'round-item-options',\r\n      id: 'roundItems',\r\n      args: {},\r\n    },\r\n    {\r\n      section: 'bottom',\r\n      id: 'undo',\r\n      label: 'apply-history-back-control',\r\n      group: 'g3',\r\n      icon: () => import('@carbon/icons-vue/es/undo/20'),\r\n      control: 'apply-history-back-control',\r\n      args: {},\r\n    },\r\n    {\r\n      section: 'bottom',\r\n      id: 'redo',\r\n      label: 'apply-history-forward-control',\r\n      group: 'g3',\r\n      icon: () => import('@carbon/icons-vue/es/redo/20'),\r\n      control: 'apply-history-forward-control',\r\n      args: {},\r\n    },\r\n  ];\r\n};\r\n","/**\n * Copyright IBM Corp. 2016, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nvar _24 = {\n  \"elem\": \"svg\",\n  \"attrs\": {\n    \"xmlns\": \"http://www.w3.org/2000/svg\",\n    \"viewBox\": \"0 0 32 32\",\n    \"fill\": \"currentColor\",\n    \"width\": 24,\n    \"height\": 24\n  },\n  \"content\": [{\n    \"elem\": \"path\",\n    \"attrs\": {\n      \"d\": \"M26 26H11a2.0023 2.0023 0 01-2-2V20a2.0023 2.0023 0 012-2H26a2.0023 2.0023 0 012 2v4A2.0023 2.0023 0 0126 26zm0-6.0012L11 20v4H26zM18 14H11a2.0023 2.0023 0 01-2-2V8a2.0023 2.0023 0 012-2h7a2.0023 2.0023 0 012 2v4A2.0023 2.0023 0 0118 14zm0-6.0012L11 8v4h7zM4 2H6V30H4z\"\n    }\n  }],\n  \"name\": \"align--horizontal-left\",\n  \"size\": 24\n};\n\nexport { _24 as default };\n","/**\n * Copyright IBM Corp. 2016, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nvar _24 = {\n  \"elem\": \"svg\",\n  \"attrs\": {\n    \"xmlns\": \"http://www.w3.org/2000/svg\",\n    \"viewBox\": \"0 0 32 32\",\n    \"fill\": \"currentColor\",\n    \"width\": 24,\n    \"height\": 24\n  },\n  \"content\": [{\n    \"elem\": \"path\",\n    \"attrs\": {\n      \"d\": \"M4 24V20a2.0023 2.0023 0 012-2H21a2.0023 2.0023 0 012 2v4a2.0023 2.0023 0 01-2 2H6A2.0023 2.0023 0 014 24zm2 0H21V20L6 19.9988zM12 12V8a2.0023 2.0023 0 012-2h7a2.0023 2.0023 0 012 2v4a2.0023 2.0023 0 01-2 2H14A2.0023 2.0023 0 0112 12zm2 0h7V8l-7-.0012z\"\n    }\n  }, {\n    \"elem\": \"path\",\n    \"attrs\": {\n      \"d\": \"M26 2H28V30H26z\",\n      \"transform\": \"rotate(-180 27 16)\"\n    }\n  }],\n  \"name\": \"align--horizontal-right\",\n  \"size\": 24\n};\n\nexport { _24 as default };\n","/**\n * Copyright IBM Corp. 2016, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nvar _24 = {\n  \"elem\": \"svg\",\n  \"attrs\": {\n    \"xmlns\": \"http://www.w3.org/2000/svg\",\n    \"viewBox\": \"0 0 32 32\",\n    \"fill\": \"currentColor\",\n    \"width\": 24,\n    \"height\": 24\n  },\n  \"content\": [{\n    \"elem\": \"path\",\n    \"attrs\": {\n      \"d\": \"M24 20H20a2.0023 2.0023 0 01-2-2V11a2.0023 2.0023 0 012-2h4a2.0023 2.0023 0 012 2v7A2.0023 2.0023 0 0124 20zm-4-9v7h4.0012L24 11zM12 28H8a2.0023 2.0023 0 01-2-2V11A2.0023 2.0023 0 018 9h4a2.0023 2.0023 0 012 2V26A2.0023 2.0023 0 0112 28zM8 11V26h4.0012L12 11zM2 4H30V6H2z\"\n    }\n  }],\n  \"name\": \"align--vertical-top\",\n  \"size\": 24\n};\n\nexport { _24 as default };\n","/**\n * Copyright IBM Corp. 2016, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nvar _24 = {\n  \"elem\": \"svg\",\n  \"attrs\": {\n    \"xmlns\": \"http://www.w3.org/2000/svg\",\n    \"viewBox\": \"0 0 32 32\",\n    \"fill\": \"currentColor\",\n    \"width\": 24,\n    \"height\": 24\n  },\n  \"content\": [{\n    \"elem\": \"path\",\n    \"attrs\": {\n      \"d\": \"M2 26H30V28H2zM24 23H20a2.0023 2.0023 0 01-2-2V14a2.0023 2.0023 0 012-2h4a2.0023 2.0023 0 012 2v7A2.0023 2.0023 0 0124 23zm-4-9v7h4.0012L24 14zM12 23H8a2.0023 2.0023 0 01-2-2V6A2.0023 2.0023 0 018 4h4a2.0023 2.0023 0 012 2V21A2.0023 2.0023 0 0112 23zM8 6V21h4.0012L12 6z\"\n    }\n  }],\n  \"name\": \"align--vertical-bottom\",\n  \"size\": 24\n};\n\nexport { _24 as default };\n","/**\n * Copyright IBM Corp. 2016, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nvar _24 = {\n  \"elem\": \"svg\",\n  \"attrs\": {\n    \"xmlns\": \"http://www.w3.org/2000/svg\",\n    \"viewBox\": \"0 0 32 32\",\n    \"fill\": \"currentColor\",\n    \"width\": 24,\n    \"height\": 24\n  },\n  \"content\": [{\n    \"elem\": \"path\",\n    \"attrs\": {\n      \"d\": \"M30,15H26V12a2.0025,2.0025,0,0,0-2-2H20a2.0025,2.0025,0,0,0-2,2v3H14V8a2.0025,2.0025,0,0,0-2-2H8A2.0025,2.0025,0,0,0,6,8v7H2v2H6v7a2.0025,2.0025,0,0,0,2,2h4a2.0025,2.0025,0,0,0,2-2V17h4v3a2.0025,2.0025,0,0,0,2,2h4a2.0025,2.0025,0,0,0,2-2V17h4ZM8,24V8h4l.0012,16Zm12-4V12h4l.0012,8Z\"\n    }\n  }],\n  \"name\": \"align--vertical-center\",\n  \"size\": 24\n};\n\nexport { _24 as default };\n","/**\n * Copyright IBM Corp. 2016, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nvar _24 = {\n  \"elem\": \"svg\",\n  \"attrs\": {\n    \"xmlns\": \"http://www.w3.org/2000/svg\",\n    \"viewBox\": \"0 0 32 32\",\n    \"fill\": \"currentColor\",\n    \"width\": 24,\n    \"height\": 24\n  },\n  \"content\": [{\n    \"elem\": \"path\",\n    \"attrs\": {\n      \"d\": \"M24,18H17V14h3a2.0025,2.0025,0,0,0,2-2V8a2.0025,2.0025,0,0,0-2-2H17V2H15V6H12a2.0025,2.0025,0,0,0-2,2v4a2.0025,2.0025,0,0,0,2,2h3v4H8a2.0025,2.0025,0,0,0-2,2v4a2.0025,2.0025,0,0,0,2,2h7v4h2V26h7a2.0025,2.0025,0,0,0,2-2V20A2.0025,2.0025,0,0,0,24,18ZM12,8h8v4H12ZM24,24H8V20H24Z\"\n    }\n  }],\n  \"name\": \"align--horizontal-center\",\n  \"size\": 24\n};\n\nexport { _24 as default };\n","/**\n * Copyright IBM Corp. 2016, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nvar _16 = {\n  \"elem\": \"svg\",\n  \"attrs\": {\n    \"xmlns\": \"http://www.w3.org/2000/svg\",\n    \"viewBox\": \"0 0 32 32\",\n    \"fill\": \"currentColor\",\n    \"width\": 16,\n    \"height\": 16\n  },\n  \"content\": [{\n    \"elem\": \"path\",\n    \"attrs\": {\n      \"d\": \"M28,10H22V4a2.0023,2.0023,0,0,0-2-2H4A2.0023,2.0023,0,0,0,2,4V20a2.0023,2.0023,0,0,0,2,2h6v6a2,2,0,0,0,2,2H28a2,2,0,0,0,2-2V12A2,2,0,0,0,28,10ZM4,20,3.9985,4H20v6H12a2,2,0,0,0-2,2v8Z\"\n    }\n  }],\n  \"name\": \"bring-to-front\",\n  \"size\": 16\n};\n\nexport { _16 as default };\n","/**\n * Copyright IBM Corp. 2016, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nvar _24 = {\n  \"elem\": \"svg\",\n  \"attrs\": {\n    \"xmlns\": \"http://www.w3.org/2000/svg\",\n    \"viewBox\": \"0 0 32 32\",\n    \"fill\": \"currentColor\",\n    \"width\": 24,\n    \"height\": 24\n  },\n  \"content\": [{\n    \"elem\": \"path\",\n    \"attrs\": {\n      \"d\": \"M28,10H22V4a2.0023,2.0023,0,0,0-2-2H4A2.0023,2.0023,0,0,0,2,4V20a2.0023,2.0023,0,0,0,2,2h6v6a2,2,0,0,0,2,2H28a2,2,0,0,0,2-2V12A2,2,0,0,0,28,10ZM4,20,3.9985,4H20v6H12a2,2,0,0,0-2,2v8Z\"\n    }\n  }],\n  \"name\": \"bring-to-front\",\n  \"size\": 24\n};\n\nexport { _24 as default };\n","/**\n * Copyright IBM Corp. 2016, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nvar _24 = {\n  \"elem\": \"svg\",\n  \"attrs\": {\n    \"xmlns\": \"http://www.w3.org/2000/svg\",\n    \"viewBox\": \"0 0 32 32\",\n    \"fill\": \"currentColor\",\n    \"width\": 24,\n    \"height\": 24\n  },\n  \"content\": [{\n    \"elem\": \"path\",\n    \"attrs\": {\n      \"d\": \"M25,20H23V9H12V7H23a2,2,0,0,1,2,2Z\"\n    }\n  }, {\n    \"elem\": \"path\",\n    \"attrs\": {\n      \"d\": \"M9,23V2H7V7H2V9H7V23a2,2,0,0,0,2,2H23v5h2V25h5V23Z\"\n    }\n  }],\n  \"name\": \"crop\",\n  \"size\": 24\n};\n\nexport { _24 as default };\n","/**\n * Copyright IBM Corp. 2016, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nvar _24 = {\n  \"elem\": \"svg\",\n  \"attrs\": {\n    \"xmlns\": \"http://www.w3.org/2000/svg\",\n    \"viewBox\": \"0 0 32 32\",\n    \"fill\": \"currentColor\",\n    \"width\": 24,\n    \"height\": 24\n  },\n  \"content\": [{\n    \"elem\": \"path\",\n    \"attrs\": {\n      \"d\": \"M22 11L20.59 12.41 23.17 15 8.83 15 11.41 12.41 10 11 5 16 10 21 11.41 19.59 8.83 17 23.17 17 20.59 19.59 22 21 27 16 22 11z\"\n    }\n  }, {\n    \"elem\": \"path\",\n    \"attrs\": {\n      \"d\": \"M28,30H4a2.0023,2.0023,0,0,1-2-2V4A2.0023,2.0023,0,0,1,4,2H28a2.0021,2.0021,0,0,1,2,2V28A2.0021,2.0021,0,0,1,28,30ZM4,4V28H28V4Z\"\n    }\n  }],\n  \"name\": \"fit-to-width\",\n  \"size\": 24\n};\n\nexport { _24 as default };\n","/**\n * Copyright IBM Corp. 2016, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nvar _24 = {\n  \"elem\": \"svg\",\n  \"attrs\": {\n    \"xmlns\": \"http://www.w3.org/2000/svg\",\n    \"viewBox\": \"0 0 32 32\",\n    \"fill\": \"currentColor\",\n    \"width\": 24,\n    \"height\": 24\n  },\n  \"content\": [{\n    \"elem\": \"path\",\n    \"attrs\": {\n      \"d\": \"M28 8h2V4a2.0021 2.0021 0 00-2-2H24V4h4zM17 2H21V4H17zM28 11H30V15H28zM28 18v4H24V10a2.0023 2.0023 0 00-2-2H10V4h4V2H10A2.0023 2.0023 0 008 4V8H4a2.0023 2.0023 0 00-2 2V28a2.0023 2.0023 0 002 2H22a2.0023 2.0023 0 002-2V24h4a2.0023 2.0023 0 002-2V18zM22 28H4V10H22z\"\n    }\n  }],\n  \"name\": \"replicate\",\n  \"size\": 24\n};\n\nexport { _24 as default };\n","import { toString } from '@carbon/icon-helpers';\r\n\r\nimport AlignHorizontalLeft24 from '@carbon/icons/es/align--horizontal-left/24';\r\nimport AlignHorizontalRight24 from '@carbon/icons/es/align--horizontal-right/24';\r\nimport AlignVerticalTop24 from '@carbon/icons/es/align--vertical-top/24';\r\nimport AlignVerticalBottom24 from '@carbon/icons/es/align--vertical-bottom/24';\r\nimport AlignVerticalCenter24 from '@carbon/icons/es/align--vertical-center/24';\r\nimport AlignHorizontalCenter24 from '@carbon/icons/es/align--horizontal-center/24';\r\nimport BringToFront16 from '@carbon/icons/es/bring-to-front/16';\r\nimport BringToFront24 from '@carbon/icons/es/bring-to-front/24';\r\nimport Crop24 from '@carbon/icons/es/crop/24';\r\nimport FitToWidth from '@carbon/icons/es/fit-to-width/24';\r\nimport Replicate24 from '@carbon/icons/es/replicate/24';\r\n\r\nconst strAlignHorizontalLeft24 = toString(AlignHorizontalLeft24);\r\nconst strAlignHorizontalRight24 = toString(AlignHorizontalRight24);\r\nconst strAlignVerticalTop24 = toString(AlignVerticalTop24);\r\nconst strAlignVerticalBottom24 = toString(AlignVerticalBottom24);\r\nconst strAlignVerticalCenter24 = toString(AlignVerticalCenter24);\r\nconst strAlignHorizontalCenter24 = toString(AlignHorizontalCenter24);\r\nconst strBringToFront16 = toString(BringToFront16);\r\nconst strBringToFront24 = toString(BringToFront24);\r\nconst strCrop24 = toString(Crop24);\r\nconst strFitToWidth = toString(FitToWidth);\r\nconst strReplicate = toString(Replicate24);\r\n\r\nexport {\r\n  strAlignHorizontalLeft24,\r\n  strAlignHorizontalRight24,\r\n  strAlignVerticalTop24,\r\n  strAlignVerticalBottom24,\r\n  strAlignVerticalCenter24,\r\n  strAlignHorizontalCenter24,\r\n  strBringToFront16,\r\n  strBringToFront24,\r\n  strCrop24,\r\n  strFitToWidth,\r\n  strReplicate,\r\n};\r\n","import {\r\n  strAlignHorizontalLeft24,\r\n  strAlignHorizontalRight24,\r\n  strAlignVerticalTop24,\r\n  strAlignVerticalBottom24,\r\n  strAlignVerticalCenter24,\r\n  strAlignHorizontalCenter24,\r\n  strCrop24,\r\n} from '../carbon-icons';\r\n\r\nexport type ContextControlNodeType = {\r\n  id: string;\r\n  label: string;\r\n  icon: unknown;\r\n  class: string;\r\n  hideLabel: boolean;\r\n  x: number;\r\n  y: number;\r\n};\r\n\r\nexport const nodes: ContextControlNodeType[] = [\r\n  {\r\n    id: `align-left-control`,\r\n    label: 'align-left',\r\n    icon: strAlignHorizontalLeft24,\r\n    class: 'custom-shape-control',\r\n    hideLabel: true,\r\n    x: 0,\r\n    y: 0,\r\n  },\r\n  {\r\n    id: `align-right-control`,\r\n    label: 'align-right',\r\n    icon: strAlignHorizontalRight24,\r\n    class: 'custom-shape-control',\r\n    hideLabel: true,\r\n    x: 0,\r\n    y: 0,\r\n  },\r\n  {\r\n    id: `align-top-control`,\r\n    label: 'align-top',\r\n    icon: strAlignVerticalTop24,\r\n    class: 'custom-shape-control',\r\n    hideLabel: true,\r\n    x: 0,\r\n    y: 0,\r\n  },\r\n  {\r\n    id: `align-bottom-control`,\r\n    label: 'align-bottom',\r\n    icon: strAlignVerticalBottom24,\r\n    class: 'custom-shape-control',\r\n    hideLabel: true,\r\n    x: 0,\r\n    y: 0,\r\n  },\r\n  {\r\n    id: `align-v-center-control`,\r\n    label: 'vertical-center-align',\r\n    icon: strAlignVerticalCenter24,\r\n    class: 'custom-shape-control',\r\n    hideLabel: true,\r\n    x: 0,\r\n    y: 0,\r\n  },\r\n  {\r\n    id: `align-h-center-control`,\r\n    label: 'horizontal-center-align',\r\n    icon: strAlignHorizontalCenter24,\r\n    class: 'custom-shape-control',\r\n    hideLabel: true,\r\n    x: 0,\r\n    y: 0,\r\n  },\r\n  {\r\n    id: `crop-control`,\r\n    label: 'crop',\r\n    icon: strCrop24,\r\n    class: 'custom-shape-control',\r\n    hideLabel: true,\r\n    x: 0,\r\n    y: 0,\r\n  },\r\n];\r\n","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('div')\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","<template>\r\n  <div></div>\r\n</template>\r\n\r\n<script>\r\nimport Vue from 'vue';\r\nimport { mapState, mapStores, mapActions } from 'pinia';\r\nimport { useStore as useShapeStore } from '@/stores/shape';\r\nimport { useStore as useActionStore } from '@/stores/action';\r\nimport { useStore as useProductStore } from '@/stores/product';\r\nimport { useStore as useHistoryStore } from '@/stores/history';\r\nimport { useStore as useMirrorStore } from '@/stores/mirror';\r\nimport { openDefaultEditor } from 'pintura';\r\nimport { createStateSnapshot } from '@/utils/historyHelper';\r\n\r\nexport default Vue.extend({\r\n  computed: {\r\n    ...mapStores(useShapeStore),\r\n    ...mapStores(useProductStore),\r\n    ...mapStores(useActionStore),\r\n    ...mapState(useShapeStore, ['shapes', 'activeShapeId']),\r\n    ...mapState(useActionStore, ['actions']),\r\n  },\r\n  mounted() {\r\n    const subtarget = document.querySelector('w2p-import-wizard-wrapper');\r\n    let element;\r\n\r\n    if (subtarget && subtarget.shadowRoot) {\r\n      element = subtarget.shadowRoot.querySelector('.import-wizard');\r\n    } else {\r\n      const oldVersionTarget = document.querySelector('w2p-import-wizard');\r\n      element =\r\n        oldVersionTarget && oldVersionTarget.shadowRoot\r\n          ? oldVersionTarget.shadowRoot.querySelector('.import-wizard')\r\n          : document.body;\r\n    }\r\n\r\n    // in 2.18 version revert to old changes\r\n    // const element =\r\n    //  subtarget && subtarget.shadowRoot\r\n    //    ? subtarget.shadowRoot.querySelector('.import-wizard')\r\n\r\n    const activeShape = this.shapes.find(\r\n      (shape) => shape.id === this.activeShapeId\r\n    );\r\n    const productStore = useProductStore();\r\n    const isLaser = productStore.isLaserConverter();\r\n    const isDebossing = productStore.isDebossingTechnique();\r\n\r\n    const stickerEditor = openDefaultEditor(\r\n      {\r\n        class: 'pintura-sticker-editor',\r\n        src:\r\n          isLaser || isDebossing\r\n            ? activeShape.pngFileWithoutConverters\r\n            : activeShape.pngFile,\r\n        enableButtonRevert: false,\r\n        enableNavigateHistory: false,\r\n        enableZoomControls: false,\r\n        cropEnableButtonRotateLeft: false,\r\n        cropEnableButtonFlipHorizontal: false,\r\n        cropImageSelectionCornerStyle: 'hook',\r\n        cropEnableCenterImageSelection: false,\r\n        cropActiveTransformTool: 'zoom',\r\n        cropEnableRotationInput: false,\r\n        utils: ['crop'],\r\n        cropInteractionFocus: 'selection',\r\n        locale: { labelButtonExport: this.$t('tools.custom.done') },\r\n        cropEnableInfoIndicator: true,\r\n        cropEnableZoom: false,\r\n      },\r\n      element\r\n    );\r\n\r\n    // Update the shape when the sticker is edited\r\n    stickerEditor.on('process', async (res) => {\r\n      // Update the backgroundImage of the active shape\r\n      const actionStore = useActionStore();\r\n      const idx = this.shapeStore.shapes.findIndex(\r\n        (p) => p.id === activeShape?.id\r\n      );\r\n\r\n      const shape = this.shapeStore.shapes[idx];\r\n      const widthScaleFactor = shape.pngWidthPixels / res.imageState.crop.width;\r\n      const heightScaleFactor =\r\n        shape.pngHeightPixels / res.imageState.crop.height;\r\n      const width = shape.width / widthScaleFactor;\r\n      const height = shape.height / heightScaleFactor;\r\n\r\n      const smallDetailsResult = shape.smallDetailsResult\r\n        ? { ...shape.smallDetailsResult, isCheckValid: false }\r\n        : undefined;\r\n\r\n      const leftCroppedValue = this.getCroppedValueFromLeftSide(\r\n        shape.pngWidthPixels,\r\n        res.imageState.crop.x\r\n      );\r\n\r\n      const rightCroppedValue = this.getCroppedValueFromRightSide(\r\n        shape.pngWidthPixels,\r\n        res.imageState.crop.x + res.imageState.crop.width\r\n      );\r\n\r\n      const topCroppedValue = this.getCroppedValueFromTop(\r\n        shape.pngHeightPixels,\r\n        res.imageState.crop.y\r\n      );\r\n\r\n      const bottomCroppedValue = this.getCroppedValueFromBottom(\r\n        shape.pngHeightPixels,\r\n        res.imageState.crop.y + res.imageState.crop.height\r\n      );\r\n\r\n      actionStore.createCropAction(this.activeShapeId, {\r\n        left: leftCroppedValue,\r\n        right: rightCroppedValue,\r\n        top: topCroppedValue,\r\n        bottom: bottomCroppedValue,\r\n      });\r\n\r\n      this.shapeStore.$patch((state) => {\r\n        state.shapes.splice(idx, 1, {\r\n          ...state.shapes[idx],\r\n          backgroundImage: URL.createObjectURL(res.dest),\r\n          pngFileWithoutConverters: res.dest,\r\n          pngFile: res.dest,\r\n          height: height,\r\n          width: width,\r\n          aspectRatio: width / height,\r\n          pngWidthPixels: res.imageState.crop.width,\r\n          pngHeightPixels: res.imageState.crop.height,\r\n          variantArtworkImages: [],\r\n          smallDetailsResult,\r\n        });\r\n      });\r\n\r\n      await this.updateColorsAfterImageIsAdjusted(this.activeShapeId, true);\r\n\r\n      if (this.shapes[idx]) {\r\n        await this.applyEffectIfNeeded(\r\n          productStore.selectedPrintPosition.id,\r\n          productStore.selectedPrintPosition.techniqueId,\r\n          this.shapes[idx]\r\n        );\r\n      }\r\n\r\n      if (this.shapes[idx]) {\r\n        this.updateMirrorShape(this.shapes[idx]);\r\n      }\r\n\r\n      const snapshot = createStateSnapshot();\r\n      this.recordHistory(snapshot);\r\n\r\n      this.$emit('close:crop-editor');\r\n    });\r\n\r\n    stickerEditor.on('close', () => {\r\n      this.$emit('close:crop-editor');\r\n    });\r\n  },\r\n  methods: {\r\n    ...mapActions(useShapeStore, [\r\n      'updateColorsAfterImageIsAdjusted',\r\n      'applyEffectIfNeeded',\r\n    ]),\r\n    ...mapActions(useHistoryStore, ['recordHistory']),\r\n    ...mapActions(useMirrorStore, ['updateMirrorShape']),\r\n\r\n    getCroppedValueFromLeftSide(originalWidth, croppedValue) {\r\n      if (croppedValue === 0) {\r\n        return 0;\r\n      }\r\n      //percantage cropped shape value from left side\r\n      return (croppedValue * 100) / originalWidth;\r\n    },\r\n    getCroppedValueFromRightSide(originalWidth, croppedValue) {\r\n      const croppedValuePixels = originalWidth - croppedValue;\r\n      if (croppedValuePixels === 0) {\r\n        return 0;\r\n      }\r\n      //percantage cropped shape value from right side\r\n      return (croppedValuePixels * 100) / originalWidth;\r\n    },\r\n    getCroppedValueFromTop(originalHeight, croppedValue) {\r\n      if (croppedValue === 0) {\r\n        return 0;\r\n      }\r\n      //percantage cropped shape value from top\r\n      return (croppedValue * 100) / originalHeight;\r\n    },\r\n    getCroppedValueFromBottom(originalHeight, croppedValue) {\r\n      const croppedValuePixels = originalHeight - croppedValue;\r\n      if (croppedValuePixels === 0) {\r\n        return 0;\r\n      }\r\n      //percantage cropped shape value from right side\r\n      return (croppedValuePixels * 100) / originalHeight;\r\n    },\r\n  },\r\n});\r\n</script>\r\n\r\n<style scoped></style>\r\n","import mod from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--13-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./CropEditor.vue?vue&type=script&lang=js\"; export default mod; export * from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--13-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./CropEditor.vue?vue&type=script&lang=js\"","import { render, staticRenderFns } from \"./CropEditor.vue?vue&type=template&id=5cb365ca&scoped=true\"\nimport script from \"./CropEditor.vue?vue&type=script&lang=js\"\nexport * from \"./CropEditor.vue?vue&type=script&lang=js\"\nfunction injectStyles (context) {\n  \n  \n}\n\n/* normalize component */\nimport normalizer from \"!../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  \"5cb365ca\",\n  null\n  ,true\n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('div',{staticClass:\"panel-container\"},[_c('div',{staticClass:\"panel-header\"},[_vm._v(_vm._s(_vm.$t('tools.custom.lanyard-options')))]),_c('div',{staticClass:\"panel-content\"},[_c('cv-button',{attrs:{\"size\":\"small\",\"kind\":\"tertiary\"},on:{\"click\":_vm.onExecuteSpread}},[_c('span',[_vm._v(\" \"+_vm._s(_vm.$t('tools.custom.spread-option'))+\" \")]),_c('fit-to-width-16',{staticClass:\"bx--btn__icon btn--size\"})],1),_c('cv-checkbox',{staticClass:\"panel-option\",attrs:{\"value\":'some',\"checked\":_vm.currentMirrorSettings.isMirrorApplied,\"label\":_vm.$t('tools.custom.do-duplication-on-second-stripe')},on:{\"change\":(isMirrorApplied) => _vm.onMirrorAppliedChange(isMirrorApplied)}}),_c('cv-checkbox',{staticClass:\"panel-option\",attrs:{\"value\":'some',\"label\":_vm.$t('tools.custom.do-opposite-rotation'),\"checked\":_vm.currentMirrorSettings.isOppositeRotationApplied},on:{\"change\":(isOppositeRotationApplied) =>\n          _vm.onOppositeRotationChange(isOppositeRotationApplied)}})],1)])\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","/**\n * Copyright IBM Corp. 2019, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nimport { c as createSVGComponent } from '../utils-9450cd75.js';\nimport '@carbon/icon-helpers';\nimport 'vue';\n\nconst FitToWidth16 = createSVGComponent('FitToWidth16', {\n  \"xmlns\": \"http://www.w3.org/2000/svg\",\n  \"viewBox\": \"0 0 32 32\",\n  \"fill\": \"currentColor\",\n  \"width\": 16,\n  \"height\": 16\n}, [{\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M22 11L20.59 12.41 23.17 15 8.83 15 11.41 12.41 10 11 5 16 10 21 11.41 19.59 8.83 17 23.17 17 20.59 19.59 22 21 27 16 22 11z\"\n  }\n}, {\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M28,30H4a2.0023,2.0023,0,0,1-2-2V4A2.0023,2.0023,0,0,1,4,2H28a2.0021,2.0021,0,0,1,2,2V28A2.0021,2.0021,0,0,1,28,30ZM4,4V28H28V4Z\"\n  }\n}]);\n\nexport { FitToWidth16 as default };\n","\r\nimport Vue from 'vue';\r\nimport { CvButton, CvCheckbox } from '@carbon/vue';\r\nimport { useStore as useMirrorStore } from '@/stores/mirror';\r\nimport { mapState, mapActions } from 'pinia';\r\nimport { useStore as useProductStore } from '@/stores/product';\r\nimport { useStore as useHistoryStore } from '@/stores/history';\r\nimport { useStore as useShapeStore } from '@/stores/shape';\r\nimport FitToWidth16 from '@carbon/icons-vue/es/fit-to-width/16';\r\nimport { mm2px } from '@/utils';\r\nimport { v4 as uuidv4 } from 'uuid';\r\nimport {\r\n  AnnotationShape,\r\n  LogoShape,\r\n} from '@/web-components/import-wizard/typings/pintura';\r\nimport { createStateSnapshot } from '@/utils/historyHelper';\r\nimport { lineWidth } from '@/constants/areaLineWidth';\r\n\r\nexport default Vue.extend({\r\n  name: 'LanyardPanel',\r\n  components: {\r\n    CvButton,\r\n    FitToWidth16,\r\n    CvCheckbox,\r\n  },\r\n  computed: {\r\n    ...mapState(useMirrorStore, ['currentMirrorSettings']),\r\n    ...mapState(useShapeStore, ['shapes']),\r\n  },\r\n  methods: {\r\n    ...mapActions(useMirrorStore, ['updateMirror', 'updateRotation']),\r\n    ...mapActions(useHistoryStore, ['recordHistory']),\r\n\r\n    async onExecuteSpread() {\r\n      var shapesStore = useShapeStore();\r\n      var productStore = useProductStore();\r\n\r\n      const { originalImageWebDpi, originalImageWidthPx, originalImageDpi } =\r\n        productStore.activePosition;\r\n      const webImageWidthPx =\r\n        (originalImageWidthPx &&\r\n          originalImageWebDpi &&\r\n          originalImageDpi &&\r\n          (originalImageWidthPx * originalImageWebDpi) / originalImageDpi) ||\r\n        1;\r\n\r\n      const rectLineWidth = (lineWidth * webImageWidthPx) / 100;\r\n      const currentShapes = [...this.shapes];\r\n      var minimumDistance = mm2px(\r\n        2,\r\n        productStore.selectedPrintPosition.originalImageWebDpi\r\n      );\r\n\r\n      var printPositionArea = productStore.drawPoints(\r\n        productStore.selectedPrintPosition.id\r\n      );\r\n\r\n      currentShapes.sort((a, b) => a.x - b.x);\r\n\r\n      const updatedShapesPositions = [] as AnnotationShape[];\r\n      currentShapes.forEach((shape, index) => {\r\n        if (shape && index === 0) {\r\n          updatedShapesPositions.push({\r\n            ...shape,\r\n            x: printPositionArea.x + rectLineWidth,\r\n          });\r\n        } else if (shape && index > 0) {\r\n          if (\r\n            shape.x -\r\n              (currentShapes[index - 1].x + currentShapes[index - 1].width) >=\r\n            0\r\n          ) {\r\n            updatedShapesPositions.push({\r\n              ...shape,\r\n              x:\r\n                printPositionArea.x +\r\n                rectLineWidth +\r\n                (shape.x - currentShapes[0].x) +\r\n                (shape.x -\r\n                  (currentShapes[index - 1].x +\r\n                    currentShapes[index - 1].width)),\r\n            });\r\n          } else {\r\n            updatedShapesPositions.push({\r\n              ...shape,\r\n              x:\r\n                printPositionArea.x +\r\n                rectLineWidth +\r\n                (shape.x - currentShapes[0].x),\r\n            });\r\n          }\r\n        }\r\n      });\r\n\r\n      shapesStore.$patch((state) => {\r\n        state.shapes = updatedShapesPositions;\r\n      });\r\n\r\n      var minimumX = 0;\r\n      var maximumX = 0;\r\n      for (\r\n        var index = 0;\r\n        index < shapesStore.positionShapeMap.length;\r\n        index++\r\n      ) {\r\n        if (\r\n          shapesStore.positionShapeMap[index].id ===\r\n          productStore.selectedPrintPosition.id\r\n        ) {\r\n          const shape = {\r\n            ...shapesStore.shapes?.find(\r\n              (a) => a.id === shapesStore.positionShapeMap[index].logoId\r\n            ),\r\n          } as AnnotationShape;\r\n\r\n          if (shape) {\r\n            if (minimumX === 0) {\r\n              minimumX = shape.x;\r\n            } else {\r\n              if (shape.x < minimumX) {\r\n                minimumX = shape.x;\r\n              }\r\n            }\r\n\r\n            if (maximumX === 0) {\r\n              maximumX = shape.x + shape.width;\r\n            } else {\r\n              if (shape.x + shape.width > maximumX) {\r\n                maximumX = shape.x + shape.width;\r\n              }\r\n            }\r\n          }\r\n        }\r\n      }\r\n\r\n      var widthOfAllShapesOnSelectedPosition = maximumX - minimumX;\r\n\r\n      //TODO: change 2 to someting that represent print position lines\r\n      var usedWidthOfSelectedPrintPosition = maximumX - printPositionArea.x + 2;\r\n      var numberOfDuplicateActions = 0;\r\n      var spreadFinished = false;\r\n\r\n      while (spreadFinished === false) {\r\n        if (\r\n          usedWidthOfSelectedPrintPosition +\r\n            minimumDistance +\r\n            widthOfAllShapesOnSelectedPosition <=\r\n          printPositionArea.w\r\n        ) {\r\n          numberOfDuplicateActions++;\r\n          usedWidthOfSelectedPrintPosition =\r\n            usedWidthOfSelectedPrintPosition +\r\n            minimumDistance +\r\n            widthOfAllShapesOnSelectedPosition;\r\n        } else {\r\n          if (numberOfDuplicateActions > 0) {\r\n            var freeSpace =\r\n              printPositionArea.w - usedWidthOfSelectedPrintPosition;\r\n            minimumDistance =\r\n              minimumDistance + freeSpace / numberOfDuplicateActions;\r\n          }\r\n\r\n          spreadFinished = true;\r\n        }\r\n      }\r\n\r\n      const promises = [];\r\n\r\n      for (\r\n        var indexOfDuplication = 0;\r\n        indexOfDuplication < numberOfDuplicateActions;\r\n        indexOfDuplication++\r\n      ) {\r\n        for (var i = 0; i < shapesStore.positionShapeMap.length; i++) {\r\n          if (\r\n            shapesStore.positionShapeMap[i].id ===\r\n            productStore.selectedPrintPosition.id\r\n          ) {\r\n            const shape = {\r\n              ...shapesStore.shapes?.find(\r\n                (a) => a.id === shapesStore.positionShapeMap[i].logoId\r\n              ),\r\n            } as AnnotationShape;\r\n\r\n            if (shape) {\r\n              var id = uuidv4();\r\n              promises.push(\r\n                shapesStore.addArtworkPayload(\r\n                  {\r\n                    ...shape,\r\n                    id: id,\r\n                    personalizationArtworkId: id,\r\n                    x:\r\n                      shape.x +\r\n                      widthOfAllShapesOnSelectedPosition *\r\n                        (indexOfDuplication + 1) +\r\n                      minimumDistance * (indexOfDuplication + 1),\r\n                  } as LogoShape,\r\n                  productStore.selectedPrintPosition.id,\r\n                  productStore.selectedPrintPosition.techniqueId as string,\r\n                  false\r\n                )\r\n              );\r\n            }\r\n          }\r\n        }\r\n      }\r\n\r\n      await Promise.all(promises).then(() => {\r\n        if (this.currentMirrorSettings?.isMirrorApplied) {\r\n          this.onMirrorAppliedChange(true);\r\n        }\r\n        const snapshot = createStateSnapshot();\r\n        this.recordHistory(snapshot);\r\n      });\r\n    },\r\n\r\n    onMirrorAppliedChange(checked: boolean) {\r\n      this.updateMirror(checked);\r\n\r\n      const snapshot = createStateSnapshot();\r\n      this.recordHistory(snapshot);\r\n    },\r\n\r\n    onOppositeRotationChange(checked: boolean) {\r\n      this.updateRotation(checked);\r\n\r\n      const snapshot = createStateSnapshot();\r\n      this.recordHistory(snapshot);\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../node_modules/babel-loader/lib/index.js!../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./LanyardPanel.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../node_modules/babel-loader/lib/index.js!../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./LanyardPanel.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./LanyardPanel.vue?vue&type=template&id=595e6565&scoped=true\"\nimport script from \"./LanyardPanel.vue?vue&type=script&lang=ts\"\nexport * from \"./LanyardPanel.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./LanyardPanel.vue?vue&type=style&index=0&id=595e6565&prod&scoped=true&lang=css\")\nif (style0.__inject__) style0.__inject__(context)\nvar style1 = require(\"./LanyardPanel.vue?vue&type=style&index=1&id=595e6565&prod&lang=css\")\nif (style1.__inject__) style1.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  \"595e6565\",\n  null\n  ,true\n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('div',{staticClass:\"panel-container\"},[_c('div',{staticClass:\"panel-header\"},[_vm._v(_vm._s(_vm.$t('tools.custom.round-item-options')))]),_c('div',{staticClass:\"panel-content\"},[_c('cv-button',{staticClass:\"option-button\",attrs:{\"disabled\":_vm.isDisabled,\"size\":\"small\",\"kind\":\"tertiary\"},on:{\"click\":function($event){return _vm.$emit('position-logo')}}},[_c('span',[_vm._v(\" \"+_vm._s(_vm.$t('tools.custom.position-logo-in-first-panel'))+\" \")])]),_c('cv-button',{attrs:{\"disabled\":_vm.isDisabled,\"size\":\"small\",\"kind\":\"tertiary\"},on:{\"click\":function($event){return _vm.$emit('duplicate-logo')}}},[_c('span',[_vm._v(\" \"+_vm._s(_vm.$t('tools.custom.duplicate-logo-to-opposite-side'))+\" \")])])],1)])\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","\r\nimport Vue from 'vue';\r\nimport { CvButton } from '@carbon/vue';\r\n\r\nexport default Vue.extend({\r\n  name: 'RoundItemPanel',\r\n  components: {\r\n    CvButton,\r\n  },\r\n  props: {\r\n    isDisabled: {\r\n      type: Boolean,\r\n      default: true,\r\n    },\r\n  },\r\n\r\n  methods: {},\r\n});\r\n","import mod from \"-!../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../node_modules/babel-loader/lib/index.js!../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./RoundItemPanel.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../node_modules/babel-loader/lib/index.js!../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./RoundItemPanel.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./RoundItemPanel.vue?vue&type=template&id=582fdf2e&scoped=true\"\nimport script from \"./RoundItemPanel.vue?vue&type=script&lang=ts\"\nexport * from \"./RoundItemPanel.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./RoundItemPanel.vue?vue&type=style&index=0&id=582fdf2e&prod&scoped=true&lang=css\")\nif (style0.__inject__) style0.__inject__(context)\nvar style1 = require(\"./RoundItemPanel.vue?vue&type=style&index=1&id=582fdf2e&prod&lang=css\")\nif (style1.__inject__) style1.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  \"582fdf2e\",\n  null\n  ,true\n)\n\nexport default component.exports","<template>\r\n  <div id=\"root\">\r\n    <modal\r\n      name=\"tiptap-modal\"\r\n      height=\"auto\"\r\n      width=\"700px\"\r\n      :click-to-close=\"false\"\r\n      :adaptive=\"true\"\r\n      :scrollable=\"true\"\r\n      draggable=\".custom-text-editor > .drag-point\"\r\n      @before-open=\"beforeOpenTipTapModal\"\r\n    >\r\n      <tiptap\r\n        :id=\"tipTapContentShapeId\"\r\n        :attributes=\"tipTapAttributes\"\r\n        @update:attributes=\"updateCustomEditorContentAttributes\"\r\n        @text-editor:close=\"$modal.hide('tiptap-modal')\"\r\n        @wizard:price-params-changed=\"\r\n          (event) => $emit('wizard:price-params-changed', event)\r\n        \"\r\n      />\r\n    </modal>\r\n    <slot\r\n      name=\"toolbar\"\r\n      v-bind=\"{\r\n        tools: customTools,\r\n        activeInteractionMode,\r\n      }\"\r\n    ></slot>\r\n    <slot name=\"header\" />\r\n    <crop-editor\r\n      v-if=\"initializeCropEditor\"\r\n      @close:crop-editor=\"() => (initializeCropEditor = false)\"\r\n    />\r\n\r\n    <lanyard-panel v-if=\"isLanyardPanelOpen\" />\r\n    <round-item-panel\r\n      v-if=\"isRoundItemPanelOpen\"\r\n      :is-disabled=\"isRoundItemDisabled()\"\r\n      @position-logo=\"positionLogoInFirstPanel\"\r\n      @duplicate-logo=\"executeDuplicateToOposite\"\r\n    />\r\n    <!-- eslint-disable -->\r\n    <PinturaEditor\r\n      ref=\"pinturaEditor\"\r\n      v-bind=\"editorDefaults\"\r\n      :src=\"src\"\r\n      :util=\"util\"\r\n      :disabled=\"isDisabled\"\r\n      :imageAnnotation=\"imageAnnotation\"\r\n      :imageDecoration=\"imageDecoration\"\r\n      :beforeUpdateShape=\"beforeUpdateShape\"\r\n      :beforeSelectShape=\"beforeSelectShape\"\r\n      :beforeDeselectShape=\"beforeDeselectShape\"\r\n      :handleEvent=\"handleEvent\"\r\n      :beforeRemoveShape=\"beforeRemoveShape\"\r\n      :previewUpscale=\"true\"\r\n      :markupEditorZoomLevels=\"[\r\n        0.1, 0.15, 0.2, 0.25, 0.5, 0.75, 1, 1.25, 1.5, 2, 2.5, 3,\r\n      ]\"\r\n      :markupEditorZoomAdjustStep=\"0.01\"\r\n      :markupEditorZoomAdjustFactor=\"0.1\"\r\n      @pintura:load=\"(e) => onLoad(e)\"\r\n      @pintura:ready=\"(e) => $emit('ready', e)\"\r\n      @pintura:loaderror=\"(e) => $emit('load-error', e)\"\r\n      @pintura:updateshape=\"(e) => $emit('update-shape', e)\"\r\n      @pintura:removeshape=\"(e) => $emit('remove-shape', e, true)\"\r\n      @pintura:addshape=\"(e) => $emit('add-shape', e.id)\"\r\n      @pintura:selectshape=\"(e) => $emit('select-shape', e.id)\"\r\n      @pintura:zoom=\"(e) => $emit('action:zoom', e)\"\r\n      @pintura:undo=\"undoHandler\"\r\n      @pintura:redo=\"redoHandler\"\r\n    />\r\n    <!-- eslint-enable -->\r\n  </div>\r\n</template>\r\n<script>\r\n/* eslint-disable @typescript-eslint/no-unused-vars */\r\nimport Vue from 'vue';\r\nimport { v4 as uuidv4 } from 'uuid';\r\nimport cloneDeep from 'lodash.clonedeep';\r\nimport {\r\n  /**\r\n   * Import the default image reader and writer\r\n   */\r\n  createDefaultImageReader,\r\n  createDefaultImageWriter,\r\n\r\n  /**\r\n   * The method used to register the plugins\r\n   */\r\n  setPlugins,\r\n\r\n  /**\r\n   * The plugins we want to use\r\n   */\r\n  plugin_decorate,\r\n  plugin_crop,\r\n  plugin_annotate,\r\n\r\n  /**\r\n   * The user interface and plugin locale objects\r\n   */\r\n  locale_en_gb,\r\n  plugin_decorate_locale_en_gb,\r\n\r\n  /**\r\n   * Because we use the annotate plugin we also need to import the markup editor\r\n   * locale\r\n   */\r\n  markup_editor_locale_en_gb,\r\n\r\n  /**\r\n   * Import the default configuration for the markup editor and finetune\r\n   * plugins markup_editor_defaults,\r\n   */\r\n  createNode,\r\n  findNode,\r\n  appendNode,\r\n} from 'pintura';\r\n\r\nimport { PinturaEditor } from './PinturaEditor/index';\r\nimport { Tiptap } from '@/components/Tiptap';\r\n\r\nimport { mapState, mapActions, mapStores } from 'pinia';\r\nimport { useStore as useProductStore } from '@/stores/product';\r\nimport { useStore as useShapeStore } from '@/stores/shape';\r\nimport { useStore as useHistoryStore } from '@/stores/history';\r\nimport { useStore as useMirrorStore } from '@/stores/mirror';\r\nimport { useStore as useNotificationStore } from '@/stores/notification';\r\n\r\nimport {\r\n  isPercentageValue,\r\n  limitToContextWithCorrectionFactor,\r\n  mm2px,\r\n  px2mm,\r\n  recalculateDPI,\r\n} from '@/utils/common';\r\n\r\nimport {\r\n  alignBottomControl,\r\n  alignLeftControl,\r\n  alignRightControl,\r\n  alignTopControl,\r\n} from '@/utils/alignLogo';\r\n\r\nimport { createCustomTools } from './PinturaControls/toolControls.ts';\r\nimport { nodes as contextNodes } from './PinturaControls/contextControls.ts';\r\nimport CropEditor from '../CropEditor/CropEditor.vue';\r\nimport { lineWidth } from '@/constants/areaLineWidth';\r\nimport { DoSmallDetailsPart } from '@/constants/imageProcessingEngine';\r\nimport { createStateSnapshot } from '@/utils/historyHelper';\r\nimport { LanyardPanel } from '../w2pPintura/Panels';\r\nimport { RoundItemPanel } from '../w2pPintura/Panels';\r\nimport { strFitToWidth, strReplicate } from './carbon-icons.ts';\r\nimport {\r\n  Category,\r\n  LanyardConfiguration,\r\n} from '@midocean/webapps-shared-domain';\r\nimport { generateEventPayload } from '@/utils/generatePriceParamsEventPayload';\r\n\r\nsetPlugins(plugin_decorate, plugin_crop, plugin_annotate);\r\n\r\nexport default Vue.extend({\r\n  name: 'W2pPintura',\r\n  components: {\r\n    PinturaEditor,\r\n    Tiptap,\r\n    CropEditor,\r\n    LanyardPanel,\r\n    RoundItemPanel,\r\n  },\r\n  props: {\r\n    src: {\r\n      type: String,\r\n      default: '',\r\n    },\r\n    imageAnnotation: {\r\n      type: Array,\r\n      default: () => [],\r\n    },\r\n    imageDecoration: {\r\n      type: Array,\r\n      default: () => [],\r\n    },\r\n    util: {\r\n      type: String,\r\n      default: '',\r\n    },\r\n    isDisabled: {\r\n      type: Boolean,\r\n      default: false,\r\n    },\r\n  },\r\n\r\n  data() {\r\n    return {\r\n      tipTapContentShapeId: null,\r\n      activeInteractionMode: 'auto',\r\n\r\n      // Our editor custom configuration options\r\n      editorDefaults: {\r\n        imageReader: createDefaultImageReader(),\r\n\r\n        imageWriter: createDefaultImageWriter(),\r\n        stickerEnableSelectImage: false,\r\n\r\n        // NOTE: To enable the shapes from the annotation array to be selectable try setting this to something different\r\n        annotateActiveTool: 'rectangle',\r\n        // NOTE: To enable the shapes from the annotation array to be selectable try setting this to something different\r\n        utils: ['decorate'],\r\n        decorateTools: [],\r\n        decorateActiveTool: 'move',\r\n        enableToolbar: true,\r\n        enableButtonExport: false,\r\n        enableButtonRevert: false,\r\n        enableNavigateHistory: false,\r\n\r\n        // The icons and labels to use in the user interface (required)\r\n        locale: {\r\n          ...locale_en_gb,\r\n          ...plugin_decorate_locale_en_gb,\r\n          ...markup_editor_locale_en_gb,\r\n        },\r\n\r\n        willRenderShapeControls: (controls, _selectedShapeId) => {\r\n          const alphaNode = findNode('alpha', controls);\r\n          const shape = this.shapes.find(\r\n            (shape) => shape.id === _selectedShapeId\r\n          );\r\n\r\n          const isTextShape = shape?.w2pText !== undefined;\r\n          const isRoundLogo = shape?.isRoundLogo;\r\n\r\n          // Remove ajust opacity control, because we do not need it\r\n          if (alphaNode && Array.isArray(alphaNode[3])) {\r\n            let ajustOpacityIndex = alphaNode[3].findIndex(\r\n              (tool) => tool[1] === 'adjust-opacity'\r\n            );\r\n            alphaNode[3][ajustOpacityIndex] = false;\r\n          }\r\n\r\n          const betaNode = findNode('beta', controls);\r\n\r\n          if (betaNode && Array.isArray(betaNode[3])) {\r\n            let flipHorizontalIndex = betaNode[3].findIndex(\r\n              (tool) => tool[1] === 'flip-horizontal'\r\n            );\r\n            betaNode[3][flipHorizontalIndex] = false;\r\n            let toFrontIndex = betaNode[3].findIndex(\r\n              (tool) => tool[1] === 'to-front'\r\n            );\r\n            betaNode[3][toFrontIndex] = false;\r\n\r\n            let duplicateIndex = betaNode[3].findIndex(\r\n              (tool) => tool[1] === 'duplicate'\r\n            );\r\n            const duplicateNode = betaNode[3][duplicateIndex];\r\n            duplicateNode[2].label = this.$t('tools.custom.duplicate');\r\n\r\n            let removeIndex = betaNode[3].findIndex(\r\n              (tool) => tool[1] === 'remove'\r\n            );\r\n\r\n            const removeNode = betaNode[3][removeIndex];\r\n            removeNode[2].label = this.$t('tools.custom.remove');\r\n          }\r\n\r\n          //add 'spread all to right edge' only if area is rectangle\r\n\r\n          // appendNode(\r\n          //   createNode('Button', 'custom-spread', {\r\n          //     class: 'custom-shape-control',\r\n          //     label: 'spread all to right edge',\r\n          //     hideLabel: true,\r\n          //     icon: strFitToWidth,\r\n          //     onclick: () => {\r\n          //       this.executeSpread();\r\n          //     },\r\n          //   }),\r\n          //   betaNode\r\n          // );\r\n\r\n          this.arraymove(betaNode[3], betaNode[3].length - 1, 3);\r\n\r\n          // add 'duplicate to oposite side' only if area is rectangle\r\n\r\n          // appendNode(\r\n          //   createNode('Button', 'duplicate-to-oposite', {\r\n          //     class: 'custom-shape-control',\r\n          //     label: 'duplicate to oposite side',\r\n          //     hideLabel: true,\r\n          //     icon: strReplicate,\r\n          //     onclick: () => {\r\n          //       this.executeDuplicateToOposite();\r\n          //     },\r\n          //   }),\r\n          //   betaNode\r\n          // );\r\n\r\n          this.arraymove(betaNode[3], betaNode[3].length - 1, 3);\r\n\r\n          const nodesArray = this.determineShapeActions(\r\n            shape,\r\n            isTextShape,\r\n            isRoundLogo\r\n          );\r\n\r\n          const nodes = nodesArray.map((node) => {\r\n            return createNode('Button', node.id, {\r\n              label: this.$t(`tools.custom.${node.label}`),\r\n              class: node.class,\r\n              hideLabel: node.hideLabel,\r\n              icon: node.icon,\r\n              onclick: () =>\r\n                this.applyShapeControl.apply(null, [node, _selectedShapeId]),\r\n            });\r\n          });\r\n\r\n          nodes.forEach((node) => appendNode(node, betaNode));\r\n\r\n          isTextShape &&\r\n            appendNode(\r\n              createNode('Button', 'custom-edit-text', {\r\n                label: this.$t('pintura.toolbar--context.edit-text--custom'),\r\n                onclick: () => {\r\n                  /**\r\n                   * Show custom text editor instance\r\n                   */\r\n                  this.$modal.show('tiptap-modal', { id: _selectedShapeId });\r\n                },\r\n              }),\r\n              betaNode\r\n            );\r\n          const deltaNode = findNode('delta', controls);\r\n\r\n          if (deltaNode && Array.isArray(deltaNode[3])) {\r\n            let editTextIndex = deltaNode[3].findIndex(\r\n              (tool) => tool[1] === 'edit-text'\r\n            );\r\n            deltaNode[3][editTextIndex] = false;\r\n          }\r\n\r\n          const gammaNode = findNode('gamma', controls);\r\n\r\n          if (gammaNode && Array.isArray(gammaNode[3])) {\r\n            let textLayoutIndex = gammaNode[3].findIndex(\r\n              (tool) => tool[1] === 'text-layout'\r\n            );\r\n            gammaNode[3][textLayoutIndex] = false;\r\n          }\r\n          return controls;\r\n        },\r\n      },\r\n      initializeCropEditor: false,\r\n      isLanyardPanelOpen: false,\r\n      isRoundItemPanelOpen: false,\r\n    };\r\n  },\r\n\r\n  computed: {\r\n    ...mapStores(useShapeStore),\r\n    ...mapState(useProductStore, [\r\n      'unavailablePrintPositions',\r\n      'activePosition',\r\n      'rotation',\r\n      'selectedPrintPosition',\r\n      'selectedVariant',\r\n      'data',\r\n      'isLaserConverter',\r\n      'isDebossingTechnique',\r\n      'getDebossingColor',\r\n      'printPositions',\r\n    ]),\r\n    ...mapState(useShapeStore, ['shapes', 'activeShapeId', 'panelPosition']),\r\n    ...mapState(useHistoryStore, ['isUndoPossible', 'isRedoPossible']),\r\n    ...mapState(useMirrorStore, ['currentMirrorSettings']),\r\n\r\n    tipTapAttributes() {\r\n      const text = this.shapes.find(\r\n        (shape) => shape.id === this.tipTapContentShapeId\r\n      );\r\n\r\n      return text?.w2pText || undefined;\r\n    },\r\n\r\n    customTools() {\r\n      let tools = createCustomTools().map((t) => {\r\n        return {\r\n          ...t,\r\n          api: {\r\n            onClick: () => {\r\n              return this.applyToolControl(t.control, t.args);\r\n            },\r\n          },\r\n        };\r\n      });\r\n\r\n      if (!this.currentMirrorSettings) {\r\n        tools = tools.filter((x) => x.id !== 'lanyard');\r\n      }\r\n      if (this.activePosition.category !== Category.RoundItem) {\r\n        tools = tools.filter((x) => x.id !== 'roundItems');\r\n      }\r\n\r\n      return tools;\r\n    },\r\n  },\r\n\r\n  watch: {\r\n    unavailablePrintPositions(n) {\r\n      if (!this.pintura) return;\r\n      if (n.length === 0) {\r\n        this.pintura.editor.status = [this.$t('pintura.status'), undefined];\r\n      } else {\r\n        this.pintura.editor.status = undefined;\r\n      }\r\n    },\r\n  },\r\n\r\n  created() {\r\n    this.$nextTick(() => {\r\n      window.pintura = this.$refs['pinturaEditor'];\r\n      this.pintura = window.pintura;\r\n    });\r\n    /**\r\n     * Clean up editor instance to prevent memory leaks\r\n     */\r\n    this.$once('hook:beforeDestroy', () => {\r\n      window.pintura = undefined;\r\n      this.pintura = undefined;\r\n    });\r\n  },\r\n\r\n  methods: {\r\n    log: window.console.log,\r\n    ...mapActions(useProductStore, [\r\n      'getVariantLaserColor',\r\n      'drawPoints',\r\n      'polygonDetails',\r\n      'updateProductStateFromSnapshot',\r\n    ]),\r\n    ...mapActions(useHistoryStore, ['undo', 'redo']),\r\n    ...mapActions(useShapeStore, [\r\n      'updateShapeStateFromSnapshot',\r\n      'textToImage',\r\n    ]),\r\n    ...mapActions(useNotificationStore, [\r\n      'updateNotificationStateFromSnapshot',\r\n    ]),\r\n    ...mapActions(useMirrorStore, [\r\n      'updateMirrorStateFromSnapshot',\r\n      'updateMirrorShape',\r\n    ]),\r\n\r\n    undoHandler() {\r\n      const stateSnapshot = this.undo();\r\n\r\n      if (stateSnapshot) {\r\n        if (stateSnapshot.productState !== undefined) {\r\n          this.updateProductStateFromSnapshot(\r\n            cloneDeep(stateSnapshot.productState)\r\n          );\r\n        }\r\n\r\n        if (stateSnapshot.shapeState !== undefined) {\r\n          this.updateShapeStateFromSnapshot(\r\n            cloneDeep(stateSnapshot.shapeState)\r\n          );\r\n        }\r\n\r\n        if (stateSnapshot.notificationState !== undefined) {\r\n          this.updateNotificationStateFromSnapshot(\r\n            cloneDeep(stateSnapshot.notificationState)\r\n          );\r\n        }\r\n\r\n        if (stateSnapshot.mirrorState !== undefined) {\r\n          this.updateMirrorStateFromSnapshot(\r\n            cloneDeep(stateSnapshot.mirrorState)\r\n          );\r\n        }\r\n\r\n        const eventPayload = generateEventPayload();\r\n        this.$emit('wizard:price-params-changed', {\r\n          productPrintPositions: eventPayload,\r\n        });\r\n      }\r\n    },\r\n\r\n    redoHandler() {\r\n      const stateSnapshot = this.redo();\r\n\r\n      if (stateSnapshot) {\r\n        if (stateSnapshot.productState !== undefined) {\r\n          this.updateProductStateFromSnapshot(\r\n            cloneDeep(stateSnapshot.productState)\r\n          );\r\n        }\r\n\r\n        if (stateSnapshot.shapeState !== undefined) {\r\n          this.updateShapeStateFromSnapshot(\r\n            cloneDeep(stateSnapshot.shapeState)\r\n          );\r\n        }\r\n\r\n        if (stateSnapshot.notificationState !== undefined) {\r\n          this.updateNotificationStateFromSnapshot(\r\n            cloneDeep(stateSnapshot.notificationState)\r\n          );\r\n        }\r\n\r\n        if (stateSnapshot.mirrorState !== undefined) {\r\n          this.updateMirrorStateFromSnapshot(\r\n            cloneDeep(stateSnapshot.mirrorState)\r\n          );\r\n        }\r\n\r\n        const eventPayload = generateEventPayload();\r\n        this.$emit('wizard:price-params-changed', {\r\n          productPrintPositions: eventPayload,\r\n        });\r\n      }\r\n    },\r\n\r\n    isRoundItemDisabled() {\r\n      return !this.activeShapeId;\r\n    },\r\n    onLoad(event) {\r\n      this.$emit('load', event);\r\n    },\r\n\r\n    arraymove(arr, fromIndex, toIndex) {\r\n      var element = arr[fromIndex];\r\n      arr.splice(fromIndex, 1);\r\n      arr.splice(toIndex, 0, element);\r\n    },\r\n\r\n    executeDuplicateToOposite() {\r\n      const shapesStore = useShapeStore();\r\n      const productStore = useProductStore();\r\n\r\n      const printPositionArea = productStore.drawPoints(\r\n        productStore.selectedPrintPosition.id\r\n      );\r\n\r\n      const selectedShape = shapesStore.shapes?.find(\r\n        (a) => a.id === shapesStore.activeShapeId\r\n      );\r\n\r\n      var newX = 0;\r\n\r\n      const distancePositionStart = selectedShape.x - printPositionArea.x;\r\n      if (\r\n        printPositionArea.w / 2 >\r\n        distancePositionStart + selectedShape.width / 2\r\n      ) {\r\n        newX =\r\n          selectedShape.x +\r\n          printPositionArea.w -\r\n          distancePositionStart * 2 -\r\n          selectedShape.width;\r\n      } else {\r\n        newX =\r\n          printPositionArea.x +\r\n          printPositionArea.w -\r\n          distancePositionStart -\r\n          selectedShape.width;\r\n      }\r\n\r\n      const id = uuidv4();\r\n\r\n      shapesStore.addArtworkPayload(\r\n        {\r\n          ...selectedShape,\r\n          id: id,\r\n          personalizationArtworkId: id,\r\n          x: newX,\r\n        },\r\n        productStore.selectedPrintPosition.id,\r\n        productStore.selectedPrintPosition.techniqueId\r\n      );\r\n    },\r\n\r\n    determineShapeActions(shape, isTextShape, isRoundLogo) {\r\n      if (\r\n        this.activePosition.printArea.shapeType === 'Polygon' &&\r\n        !isTextShape &&\r\n        !isRoundLogo\r\n      ) {\r\n        return contextNodes.filter((node) => node.id === 'crop-control');\r\n      }\r\n\r\n      if (\r\n        this.activePosition.printArea.shapeType === 'Polygon' &&\r\n        (isTextShape || isRoundLogo)\r\n      ) {\r\n        return [];\r\n      }\r\n\r\n      if (shape && shape.isInArea) {\r\n        return isTextShape || isRoundLogo\r\n          ? contextNodes.filter((x) => x.id !== 'crop-control')\r\n          : contextNodes;\r\n      } else {\r\n        return contextNodes.filter(\r\n          (node) =>\r\n            node.id === 'align-v-center-control' ||\r\n            node.id === 'align-h-center-control' ||\r\n            (!isTextShape && !isRoundLogo && node.id === 'crop-control')\r\n        );\r\n      }\r\n    },\r\n\r\n    beforeOpenTipTapModal(e) {\r\n      this.tipTapContentShapeId = e.params.id;\r\n    },\r\n\r\n    isNewSmallDetailsTextCheckNeeded(index, attributes) {\r\n      const text = this.shapes[index];\r\n\r\n      if (\r\n        'fontFamily' in attributes &&\r\n        text.fontFamily !== attributes.fontFamily\r\n      ) {\r\n        return true;\r\n      }\r\n\r\n      if ('fontSize' in attributes && text.fontSize !== attributes.fontSize) {\r\n        return true;\r\n      }\r\n\r\n      if (\r\n        'fontWeight' in attributes &&\r\n        text.fontWeight !== attributes.fontWeight\r\n      ) {\r\n        return true;\r\n      }\r\n\r\n      if (\r\n        'fontStyle' in attributes &&\r\n        text.fontStyle !== attributes.fontStyle\r\n      ) {\r\n        return true;\r\n      }\r\n\r\n      if (\r\n        'textAlign' in attributes &&\r\n        text.textAlign !== attributes.textAlign\r\n      ) {\r\n        return true;\r\n      }\r\n\r\n      if ('text' in attributes && text.text !== attributes.text) {\r\n        return true;\r\n      }\r\n\r\n      return false;\r\n    },\r\n\r\n    updateCustomEditorContentAttributes({ id, ...restOfAttrs }) {\r\n      this.textToImage(\r\n        restOfAttrs.fontFamily,\r\n        restOfAttrs.fontSizePT,\r\n        restOfAttrs.fontWeight,\r\n        restOfAttrs.fontStyle,\r\n        restOfAttrs.text,\r\n        restOfAttrs.textAlign ?? '',\r\n        restOfAttrs.colorName,\r\n        restOfAttrs.textHtml,\r\n        restOfAttrs.color,\r\n        restOfAttrs.repositionText,\r\n        id\r\n      );\r\n    },\r\n\r\n    applyToolControl(cmd, args) {\r\n      const artworkSpaceConsumed = 90; // value in percents\r\n      if (cmd === 'apply-text-control') {\r\n        const template = cloneDeep(args.template);\r\n\r\n        template.id = uuidv4();\r\n        template.isSelected = true;\r\n\r\n        if (this.isLaserConverter()) {\r\n          const configObj = this.getVariantLaserColor(\r\n            this.selectedPrintPosition.id,\r\n            this.selectedPrintPosition.techniqueId,\r\n            this.selectedVariant.sku\r\n          );\r\n\r\n          const { red: r, green: g, blue: b } = configObj.laserColor;\r\n\r\n          template.w2pText = {\r\n            ...template.w2pText,\r\n            color: [r, g, b],\r\n          };\r\n        }\r\n\r\n        if (this.isDebossingTechnique()) {\r\n          const debossingColor = this.getDebossingColor;\r\n          if (debossingColor) {\r\n            template.w2pText = {\r\n              ...template.w2pText,\r\n              color: debossingColor,\r\n            };\r\n          }\r\n        }\r\n\r\n        if (this.activePosition.printArea.shapeType === 'Rectangle') {\r\n          template.width = (this.drawPoints().w * artworkSpaceConsumed) / 100;\r\n          // do not use whole height from area, because for some large ractangle\r\n          // areas it is not necessary (-40)\r\n          template.height =\r\n            (this.drawPoints().h * (artworkSpaceConsumed - 40)) / 100;\r\n          template.x =\r\n            this.drawPoints().x + this.drawPoints().w / 2 - template.width / 2;\r\n          template.y =\r\n            this.drawPoints().y + this.drawPoints().h / 2 - template.height / 2;\r\n          template.rotation = this.rotation;\r\n        }\r\n\r\n        if (this.activePosition.printArea.shapeType === 'Ellipse') {\r\n          template.width = this.drawPoints().rx;\r\n          template.height = this.drawPoints().ry;\r\n          template.x = this.drawPoints().x - template.width / 2;\r\n          template.y = this.drawPoints().y - template.height / 2;\r\n          template.rotation = this.rotation;\r\n        }\r\n\r\n        if (this.activePosition.printArea.shapeType === 'Polygon') {\r\n          template.width =\r\n            (this.polygonDetails().minDistance * (artworkSpaceConsumed - 20)) /\r\n            100;\r\n          template.height =\r\n            (this.polygonDetails().minDistance * (artworkSpaceConsumed - 20)) /\r\n            100;\r\n          template.x = this.polygonDetails().x - template.width / 2;\r\n          template.y = this.polygonDetails().y - template.height / 2;\r\n          template.rotation = 0;\r\n        }\r\n\r\n        this.$emit('add-to:image-decoration', template);\r\n        this.$modal.show('tiptap-modal', { id: this.activeShapeId });\r\n      }\r\n\r\n      if (cmd === 'apply-modal-control') {\r\n        this.$emit('modal:open', {});\r\n      }\r\n\r\n      if (cmd === 'apply-pan-mode') {\r\n        this.activeInteractionMode = 'pan';\r\n        this.pintura.editor.markupEditorInteractionMode = 'pan';\r\n      }\r\n\r\n      if (cmd === 'apply-select-mode') {\r\n        this.activeInteractionMode = 'auto';\r\n        this.pintura.editor.markupEditorInteractionMode = 'auto';\r\n      }\r\n\r\n      if (cmd === 'apply-history-back-control') {\r\n        this.undoHandler();\r\n      }\r\n\r\n      if (cmd === 'apply-history-forward-control') {\r\n        this.redoHandler();\r\n      }\r\n\r\n      if (cmd === 'lanyard-options') {\r\n        this.isLanyardPanelOpen = !this.isLanyardPanelOpen;\r\n      }\r\n      if (cmd === 'round-item-options') {\r\n        this.isRoundItemPanelOpen = !this.isRoundItemPanelOpen;\r\n      }\r\n    },\r\n\r\n    applyShapeControl(node, selectedShapeId) {\r\n      const activeShape = this.pintura.editor.imageDecoration.find(\r\n        (shape) => shape.id === selectedShapeId\r\n      );\r\n\r\n      if (!activeShape) return;\r\n\r\n      const productStore = useProductStore();\r\n\r\n      const printableAreaShapeType =\r\n        productStore.activePosition.printArea?.shapeType || '';\r\n\r\n      const printableArea = productStore.drawPoints();\r\n      const printableAreaRotation = productStore.rotation;\r\n\r\n      if (!printableArea) return;\r\n\r\n      /**\r\n       * Value can be either percentage or pixel, depending on how the shape\r\n       * was initialized\r\n       */\r\n      const { width, height } = activeShape;\r\n\r\n      /**\r\n       * Normalize values for width & height\r\n       * NOTE: We use hardcoded dimensions until we find the proper solution\r\n       * once the backend logic for product area points gets adjusted\r\n       */\r\n      const actualWidth = isPercentageValue(activeShape.width)\r\n        ? (Number.parseFloat(activeShape.width) / 100) *\r\n          (this.activePosition.originalImageWidthPx || 227)\r\n        : width;\r\n      const actualHeight = isPercentageValue(activeShape.height)\r\n        ? (Number.parseFloat(activeShape.height) / 100) *\r\n          (this.activePosition.originalImageHeightPx || 402)\r\n        : height;\r\n\r\n      /**\r\n       * Branch logic based on node.id\r\n       * Calculate right x and y values for different kind of alignment controls\r\n       * NOTE Include correction factor for now, until we see what's happening!\r\n       */\r\n      const CORRECTION_FACTOR = 0;\r\n      const { originalImageWebDpi, originalImageWidthPx, originalImageDpi } =\r\n        productStore.activePosition;\r\n\r\n      const webImageWidthPx =\r\n        originalImageWidthPx &&\r\n        originalImageWebDpi &&\r\n        originalImageDpi &&\r\n        (originalImageWidthPx * originalImageWebDpi) / originalImageDpi;\r\n      const rectLineWidth = (lineWidth * webImageWidthPx) / 100;\r\n\r\n      if (node.id === 'align-left-control') {\r\n        if (printableAreaShapeType === 'Rectangle') {\r\n          if (printableAreaRotation === 0 && activeShape.rotation === 0) {\r\n            activeShape.x = this.drawPoints().x + rectLineWidth;\r\n          } else {\r\n            activeShape.x = alignLeftControl(\r\n              rectLineWidth,\r\n              activeShape,\r\n              printableAreaShapeType\r\n            );\r\n          }\r\n        }\r\n        if (printableAreaShapeType === 'Ellipse') {\r\n          activeShape.x = alignLeftControl(\r\n            rectLineWidth,\r\n            activeShape,\r\n            printableAreaShapeType\r\n          );\r\n        }\r\n        this.updateMirrorShape(activeShape);\r\n      }\r\n\r\n      if (node.id === 'align-right-control') {\r\n        if (printableAreaShapeType === 'Rectangle') {\r\n          if (printableAreaRotation === 0 && activeShape.rotation === 0) {\r\n            activeShape.x =\r\n              this.drawPoints().x +\r\n              this.drawPoints().w -\r\n              actualWidth -\r\n              rectLineWidth;\r\n          } else {\r\n            activeShape.x = alignRightControl(\r\n              rectLineWidth,\r\n              activeShape,\r\n              printableAreaShapeType,\r\n              actualWidth\r\n            );\r\n          }\r\n        }\r\n        if (printableAreaShapeType === 'Ellipse') {\r\n          activeShape.x = alignRightControl(\r\n            rectLineWidth,\r\n            activeShape,\r\n            printableAreaShapeType,\r\n            actualWidth\r\n          );\r\n        }\r\n        this.updateMirrorShape(activeShape);\r\n      }\r\n\r\n      if (node.id === 'align-top-control') {\r\n        if (printableAreaShapeType === 'Rectangle') {\r\n          if (printableAreaRotation === 0 && activeShape.rotation === 0) {\r\n            activeShape.y = this.drawPoints().y + rectLineWidth;\r\n          } else {\r\n            activeShape.y = alignTopControl(\r\n              rectLineWidth,\r\n              activeShape,\r\n              printableAreaShapeType\r\n            );\r\n          }\r\n        }\r\n        if (printableAreaShapeType === 'Ellipse') {\r\n          activeShape.y = alignTopControl(\r\n            rectLineWidth,\r\n            activeShape,\r\n            printableAreaShapeType\r\n          );\r\n        }\r\n\r\n        this.updateMirrorShape(activeShape);\r\n      }\r\n\r\n      if (node.id === 'align-bottom-control') {\r\n        if (printableAreaShapeType === 'Rectangle') {\r\n          if (printableAreaRotation === 0 && activeShape.rotation === 0) {\r\n            activeShape.y =\r\n              this.drawPoints().y +\r\n              this.drawPoints().h -\r\n              actualHeight -\r\n              rectLineWidth;\r\n          } else {\r\n            activeShape.y = alignBottomControl(\r\n              rectLineWidth,\r\n              activeShape,\r\n              printableAreaShapeType,\r\n              actualHeight\r\n            );\r\n          }\r\n        }\r\n        if (printableAreaShapeType === 'Ellipse') {\r\n          activeShape.y = alignBottomControl(\r\n            rectLineWidth,\r\n            activeShape,\r\n            printableAreaShapeType,\r\n            actualHeight\r\n          );\r\n        }\r\n        this.updateMirrorShape(activeShape);\r\n      }\r\n\r\n      if (node.id === 'align-v-center-control') {\r\n        if (printableAreaShapeType === 'Rectangle') {\r\n          activeShape.y =\r\n            this.drawPoints().y + this.drawPoints().h / 2 - actualHeight / 2;\r\n        }\r\n        if (printableAreaShapeType === 'Ellipse') {\r\n          activeShape.y = this.drawPoints().y - actualHeight / 2;\r\n        }\r\n        if (printableAreaShapeType === 'Polygon') {\r\n          activeShape.y = this.polygonDetails().y - actualHeight / 2;\r\n        }\r\n        this.updateMirrorShape(activeShape);\r\n      }\r\n\r\n      if (node.id === 'align-h-center-control') {\r\n        if (printableAreaShapeType === 'Rectangle') {\r\n          activeShape.x =\r\n            this.drawPoints().x + this.drawPoints().w / 2 - actualWidth / 2;\r\n        }\r\n        if (printableAreaShapeType === 'Ellipse') {\r\n          activeShape.x = this.drawPoints().x - actualWidth / 2;\r\n        }\r\n        if (printableAreaShapeType === 'Polygon') {\r\n          activeShape.x = this.polygonDetails().x - actualWidth / 2;\r\n        }\r\n\r\n        this.updateMirrorShape(activeShape);\r\n      }\r\n\r\n      if (node.id === 'crop-control') {\r\n        this.initializeCropEditor = true;\r\n      }\r\n\r\n      this.$emit(\r\n        'update:image-decoration',\r\n        this.pintura.editor.imageDecoration,\r\n        node.id\r\n      );\r\n      this.$emit('app:detect-collision');\r\n\r\n      if (node.id !== 'crop-control' && node.id !== 'remove') {\r\n        const historyStore = useHistoryStore();\r\n        const snapshot = createStateSnapshot();\r\n        historyStore.recordHistory(snapshot);\r\n      }\r\n    },\r\n\r\n    /**\r\n     * Generic event handler for all types of public events\r\n     * that editor might be sending (rule them all here!)\r\n     */\r\n    handleEvent(type, detail) {\r\n      if (type === 'selectshape') {\r\n        this.$emit(\r\n          'update:image-decoration',\r\n          this.pintura.editor.imageDecoration,\r\n          type\r\n        );\r\n      }\r\n      /**\r\n       * Fires on shape clone (maybe some other events as well!?)\r\n       */\r\n      if (type === 'addshape') {\r\n        const newId = uuidv4();\r\n        detail.id = newId;\r\n\r\n        if (detail.kind === 'Logo') {\r\n          const originalShape = this.shapes.find(\r\n            (x) => x.id === detail.personalizationArtworkId\r\n          );\r\n\r\n          if (originalShape && originalShape.kind === 'Logo') {\r\n            this.$emit('add-to:image-decoration', {\r\n              ...detail,\r\n              id: newId,\r\n              personalizationArtworkId: newId,\r\n              pngFileWithoutConverters: originalShape.pngFileWithoutConverters,\r\n              pngFile: originalShape.pngFile,\r\n              smallDetailsResult: originalShape.smallDetailsResult,\r\n              spotColorsInOriginalFile: originalShape.spotColorsInOriginalFile,\r\n              pmsColorsInPngFile: originalShape.pmsColorsInPngFile,\r\n              variantArtworkImages: originalShape.variantArtworkImages,\r\n            });\r\n          }\r\n        }\r\n\r\n        if (detail.kind === 'Text') {\r\n          const originalText = this.shapes.find(\r\n            (x) =>\r\n              x.w2pText !== undefined &&\r\n              x.w2pText.text === detail.w2pText.text &&\r\n              x.id === this.activeShapeId\r\n          );\r\n          if (originalText) {\r\n            this.$emit('add-to:image-decoration', {\r\n              ...cloneDeep(originalText),\r\n              x: detail.x,\r\n              y: detail.y,\r\n              id: newId,\r\n            });\r\n          }\r\n        }\r\n      }\r\n    },\r\n\r\n    beforeSelectShape(current, target) {\r\n      this.$emit('beforeselect-shape', target);\r\n      return true;\r\n    },\r\n\r\n    beforeUpdateShape(shape, props, ctx) {\r\n      if (\r\n        DoSmallDetailsPart &&\r\n        (props.width !== undefined || props.height !== undefined)\r\n      ) {\r\n        const shapeIdx = this.shapes.findIndex((x) => x.id === shape.id);\r\n        const shapeState = this.shapes[shapeIdx];\r\n\r\n        if (shapeState.smallDetailsResult) {\r\n          const smallDetailsResult = {\r\n            ...shapeState.smallDetailsResult,\r\n            isCheckValid: false,\r\n          };\r\n          shapeState.smallDetailsResult = smallDetailsResult;\r\n        }\r\n      }\r\n\r\n      if (props.width !== undefined) {\r\n        // min 1px\r\n        // prevent logo from disappearing\r\n        // keep aspect ratio\r\n        props.width = props.width < 1 ? 1 : props.width;\r\n        props.height = props.width === 1 ? shape.height : props.height;\r\n      }\r\n\r\n      if (props.height !== undefined) {\r\n        // min 1px\r\n        // prevent logo from disappearing\r\n        // keep aspect ratio\r\n        props.height = props.height < 1 ? 1 : props.height;\r\n        props.width = props.height === 1 ? shape.width : props.width;\r\n      }\r\n\r\n      const limit = limitToContextWithCorrectionFactor(\r\n        ctx,\r\n        undefined, // use default offset\r\n        props,\r\n        shape\r\n      );\r\n\r\n      /**app\r\n       * *** SPECIAL: In case we get a rotation property inside props -\r\n       * Here x and y aren't set at all, so we need to return the orginal back\r\n       * without any modification\r\n       *\r\n       * VERY IMPORTANT:\r\n       * Bear in mind props will be of a different shape, depending on action\r\n       * being performed\r\n       */\r\n      const rotation = ((shape.rotation * 180) / Math.PI) % 360;\r\n      if ((rotation !== 0 && rotation !== 180) || props.rotation) {\r\n        return props;\r\n      }\r\n\r\n      this.$emit('beforeupdate-shape', shape);\r\n\r\n      /**\r\n       * Otherwise apply limitation to x and y\r\n       * cases like scaling and moving operations\r\n       */\r\n      return {\r\n        ...props,\r\n        x: limit.x,\r\n        y: limit.y,\r\n      };\r\n    },\r\n\r\n    beforeDeselectShape(current, target) {\r\n      this.$emit('beforedeselect-shape', { current, target });\r\n      return true;\r\n    },\r\n\r\n    beforeRemoveShape(shape) {\r\n      return true;\r\n    },\r\n\r\n    positionLogoInFirstPanel() {\r\n      let calcArtworkWidth = 0;\r\n      let calcArtworkHeight = 0;\r\n      const CORRECTION_FACTOR = 0;\r\n\r\n      let payload = this.shapes.find(\r\n        (shape) => shape.id === this.activeShapeId\r\n      );\r\n\r\n      const currentPrintPosition = this.printPositions?.find((p) => {\r\n        return p.id === this.activePosition.id;\r\n      });\r\n\r\n      const positionId = this.activePosition.id;\r\n\r\n      const { originalImageWebDpi, originalImageWidthPx, originalImageDpi } =\r\n        this.activePosition;\r\n\r\n      const webImageWidthPx =\r\n        originalImageWidthPx &&\r\n        originalImageWebDpi &&\r\n        originalImageDpi &&\r\n        (originalImageWidthPx * originalImageWebDpi) / originalImageDpi;\r\n\r\n      const rectLineWidth = (lineWidth * Number(webImageWidthPx)) / 100;\r\n\r\n      if (payload && (payload.kind === 'Logo' || payload.kind === 'Text')) {\r\n        if (\r\n          currentPrintPosition &&\r\n          currentPrintPosition.printArea?.shapeType === 'Rectangle'\r\n        ) {\r\n          const printPositionY1 =\r\n            this.activePosition.printArea.productPrintAreaPoints.find(\r\n              (point) => point.sequenceNo === 1\r\n            ).distanceFromTop;\r\n          const printPositionY2 =\r\n            this.activePosition.printArea.productPrintAreaPoints.find(\r\n              (point) => point.sequenceNo === 2\r\n            ).distanceFromTop;\r\n\r\n          const areaRect = {\r\n            x: this.drawPoints(positionId).x + rectLineWidth / 2,\r\n            y: this.drawPoints(positionId).y + rectLineWidth / 2,\r\n            w: this.drawPoints(positionId).w - rectLineWidth,\r\n            h: this.drawPoints(positionId).h - rectLineWidth,\r\n          };\r\n          const artworkRatio = payload.pngWidthPixels / payload.pngHeightPixels;\r\n          const areaRatio = this.panelPosition.width / areaRect.h;\r\n\r\n          // Artwork is more landscape than area - fit to width\r\n          if (artworkRatio > areaRatio) {\r\n            calcArtworkWidth = this.panelPosition.width - CORRECTION_FACTOR;\r\n            calcArtworkHeight =\r\n              (calcArtworkWidth / payload.pngWidthPixels) *\r\n              payload.pngHeightPixels;\r\n          }\r\n          // Artwork is ,more portrait than area - fit to height\r\n          else {\r\n            calcArtworkHeight = areaRect.h - CORRECTION_FACTOR;\r\n            calcArtworkWidth =\r\n              (calcArtworkHeight / payload.pngHeightPixels) *\r\n              payload.pngWidthPixels;\r\n          }\r\n          let gapH = areaRect.h - calcArtworkHeight;\r\n\r\n          payload.x = this.panelPosition.x + lineWidth;\r\n\r\n          payload.y = areaRect.y + areaRect.h / 2 - payload.height / 2;\r\n        }\r\n\r\n        const recalculatedHDPI = recalculateDPI(\r\n          px2mm(\r\n            calcArtworkWidth,\r\n            Number(currentPrintPosition?.originalImageWebDpi)\r\n          ),\r\n          payload.originalHorizontalResolutionDPIs,\r\n          payload.originalWidthMM\r\n        );\r\n\r\n        const recalculatedVDPI = recalculateDPI(\r\n          px2mm(\r\n            calcArtworkHeight,\r\n            Number(currentPrintPosition?.originalImageWebDpi)\r\n          ),\r\n          payload.originalVerticalResolutionDPIs,\r\n          payload.originalHeightMM\r\n        );\r\n\r\n        payload.pngHorizontalResolutionDPIs = Math.round(recalculatedHDPI);\r\n        payload.pngVerticalResolutionDPIs = Math.round(recalculatedVDPI);\r\n        payload.pngFileWithoutConverters = payload.pngFile;\r\n      }\r\n\r\n      this.$emit('update-shape', payload);\r\n    },\r\n  },\r\n});\r\n</script>\r\n<style lang=\"scss\">\r\n@import '../../../node_modules/pintura/pintura.css';\r\n.PinturaRoot .PinturaNavGroup:last-of-type {\r\n  margin-top: 20px;\r\n}\r\n.PinturaPanel {\r\n  box-shadow: unset;\r\n  border-radius: unset;\r\n}\r\n\r\n#toolbar--is_scoped {\r\n  background-color: rgb(244, 244, 244);\r\n}\r\n\r\n.pintura-editor {\r\n  --color-foreground: 0, 0, 0;\r\n  /* --color-preview-outline: 255, 255, 255; */\r\n  --color-background: 244, 244, 244;\r\n\r\n  /**\r\n * Setting primary and secondary colors can be done with the\r\n * --color-primary and --color-secondary properties,\r\n * ...these properties take any CSS color value.\r\n * The --color-primary-text value is used for text rendered on elements that have\r\n * --color-primary as their background color.\r\n */\r\n  /* --color-primary: #2990ff;\r\n  --color-primary-dark: #1a80ec;\r\n  --color-primary-text: #fff;\r\n  --color-secondary: #03a9f4;\r\n  --color-secondary-dark: #046bbf; */\r\n\r\n  /* Will limit the max width of the editor modal. Defaults to none */\r\n  /* --editor-max-width: 50em; */\r\n  /* Will limit the max height of the editor modal. Defaults to none */\r\n  /* --editor-max-height: 40em; */\r\n\r\n  /* To add some additional padding to the top and/or bottom of the editor we can */\r\n  /* use --editor-inset-top and --editor-inset-bottom */\r\n  /* --editor-inset-top: 20px;\r\n\r\n  --border-radius-round: 0em;\r\n  --border-radius: 0em;\r\n  --button-cursor: pointer; */\r\n\r\n  /**\r\n   * Font settings\r\n   */\r\n  --font-family: 'Roboto', sans-serif;\r\n  --font-size: 16px;\r\n}\r\n\r\n.CustomTabList {\r\n  position: absolute;\r\n  top: 0px;\r\n  right: 0px;\r\n  display: flex;\r\n  flex-direction: column;\r\n  background: lightgrey;\r\n  button {\r\n    border: 1px solid grey;\r\n    width: 4em;\r\n    height: 4em;\r\n  }\r\n}\r\n\r\n// .PinturaRoot button {\r\n//   background-color: #393939;\r\n//   color: white;\r\n// }\r\n\r\n/**\r\n * Makins overrides on a specific toolset\r\n */\r\n.PinturaShapePresetsPalette {\r\n  --color-foreground-10: #2990ff;\r\n\r\n  button {\r\n    background-color: #0f62fe;\r\n    color: white;\r\n  }\r\n\r\n  .PinturaButton {\r\n    padding: 0.6rem;\r\n  }\r\n\r\n  .PinturaButton:hover {\r\n    box-shadow: inset 0 0 0 1px var(--color-foreground-10);\r\n  }\r\n}\r\n</style>\r\n<style lang=\"scss\">\r\n@import '../../styles/carbon-utils';\r\n@import '../../styles/carbon-overrides.scss';\r\n@import url('https://fonts.googleapis.com/css2?family=Roboto:ital,wght@0,300;0,400;0,700;1,400&display=swap');\r\n#root {\r\n  position: relative;\r\n  height: 100%;\r\n\r\n  #header {\r\n    position: relative;\r\n  }\r\n}\r\n.PinturaRoot {\r\n  padding-top: 0;\r\n  background: #f4f4f4 !important;\r\n}\r\n.PinturaRoot[data-env~='landscape'] > .PinturaNavTools {\r\n  justify-content: left;\r\n}\r\n.CustomTabList {\r\n  display: none;\r\n  background: #f4f4f4;\r\n\r\n  .PinturaButton {\r\n    width: 3rem;\r\n    height: 3rem;\r\n    border: none;\r\n    padding: 0.1rem;\r\n    margin: 0;\r\n  }\r\n}\r\n.PinturaRoot[data-env~='landscape'] > .PinturaNavMain {\r\n  display: none;\r\n}\r\n.PinturaRoot .PinturaEditorOverlay {\r\n  background-color: rgba(0, 0, 0, 0.6);\r\n}\r\n.custom-shape-control.PinturaButtonIconOnly {\r\n  width: 2.3em;\r\n  height: 2.3em;\r\n  svg {\r\n    fill: white;\r\n  }\r\n}\r\n.custom-bring-to-front.PinturaButtonIconOnly {\r\n  svg {\r\n    width: 80%;\r\n  }\r\n}\r\n</style>\r\n<style lang=\"scss\">\r\n.pintura-sticker-editor {\r\n  --editor-modal-overlay-opacity: 0.65;\r\n  --editor-modal-border-radius: 1.5rem;\r\n  --editor-max-width: 48%;\r\n  --editor-max-height: 50%;\r\n}\r\n</style>\r\n","import mod from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--13-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./w2pPintura.vue?vue&type=script&lang=js\"; export default mod; export * from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--13-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./w2pPintura.vue?vue&type=script&lang=js\"","import { render, staticRenderFns } from \"./w2pPintura.vue?vue&type=template&id=07faefe4\"\nimport script from \"./w2pPintura.vue?vue&type=script&lang=js\"\nexport * from \"./w2pPintura.vue?vue&type=script&lang=js\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./w2pPintura.vue?vue&type=style&index=0&id=07faefe4&prod&lang=scss\")\nif (style0.__inject__) style0.__inject__(context)\nvar style1 = require(\"./w2pPintura.vue?vue&type=style&index=1&id=07faefe4&prod&lang=scss\")\nif (style1.__inject__) style1.__inject__(context)\nvar style2 = require(\"./w2pPintura.vue?vue&type=style&index=2&id=07faefe4&prod&lang=scss\")\nif (style2.__inject__) style2.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  null,\n  null\n  ,true\n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c;return _c('div',{staticClass:\"v-tour\"},[_vm._t(\"default\",function(){return [(_vm.steps[_vm.currentStep])?_c('v-step',{key:_vm.currentStep,attrs:{\"version\":_vm.version,\"step\":_vm.steps[_vm.currentStep],\"previous-step\":_vm.previousStep,\"next-step\":_vm.nextStep,\"stop\":_vm.stop,\"skip\":_vm.skip,\"finish\":_vm.finish,\"is-first\":_vm.isFirst,\"is-last\":_vm.isLast,\"labels\":_vm.customOptions.labels,\"enabled-buttons\":_vm.customOptions.enabledButtons,\"highlight\":_vm.customOptions.highlight,\"stop-on-fail\":_vm.customOptions.stopOnTargetNotFound,\"debug\":_vm.customOptions.debug},on:{\"targetNotFound\":function($event){return _vm.$emit('targetNotFound', $event)}}}):_vm._e()]},{\"currentStep\":_vm.currentStep,\"steps\":_vm.steps,\"previousStep\":_vm.previousStep,\"nextStep\":_vm.nextStep,\"stop\":_vm.stop,\"skip\":_vm.skip,\"finish\":_vm.finish,\"isFirst\":_vm.isFirst,\"isLast\":_vm.isLast,\"labels\":_vm.customOptions.labels,\"enabledButtons\":_vm.customOptions.enabledButtons,\"highlight\":_vm.customOptions.highlight,\"debug\":_vm.customOptions.debug})],2)\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","export const DEFAULT_CALLBACKS = {\r\n  onStart: () => {\r\n    //do nothing\r\n  },\r\n  onPreviousStep: (currentStep) => {\r\n    //do nothing\r\n  },\r\n  onNextStep: (currentStep) => {\r\n    //do nothing\r\n  },\r\n  onStop: () => {\r\n    //do nothing\r\n  },\r\n  onSkip: () => {\r\n    //do nothing\r\n  },\r\n  onFinish: () => {\r\n    //do nothing\r\n  },\r\n};\r\n\r\nexport const DEFAULT_OPTIONS = {\r\n  highlight: false,\r\n  labels: {\r\n    buttonSkip: 'Skip tour',\r\n    buttonPrevious: 'Previous',\r\n    buttonNext: 'Next',\r\n    buttonStop: 'Finish',\r\n  },\r\n  enabledButtons: {\r\n    buttonSkip: true,\r\n    buttonPrevious: true,\r\n    buttonNext: true,\r\n    buttonStop: true,\r\n  },\r\n  startTimeout: 0,\r\n  stopOnTargetNotFound: true,\r\n  useKeyboardNavigation: true,\r\n  enabledNavigationKeys: {\r\n    escape: true,\r\n    arrowRight: true,\r\n    arrowLeft: true,\r\n  },\r\n  debug: false,\r\n};\r\n\r\nexport const HIGHLIGHT = {\r\n  classes: {\r\n    active: 'v-tour--active',\r\n    targetHighlighted: 'v-tour__target--highlighted',\r\n    targetRelative: 'v-tour__target--relative',\r\n  },\r\n  transition: 'box-shadow 0s ease-in-out 0s',\r\n};\r\n\r\nexport const DEFAULT_STEP_OPTIONS = {\r\n  enableScrolling: true,\r\n  highlight: DEFAULT_OPTIONS.highlight, // By default use the global tour setting\r\n  enabledButtons: DEFAULT_OPTIONS.enabledButtons,\r\n  modifiers: [\r\n    {\r\n      name: 'arrow',\r\n      options: {\r\n        element: '.v-step__arrow',\r\n        padding: 10,\r\n      },\r\n    },\r\n    {\r\n      name: 'preventOverflow',\r\n      options: {\r\n        rootBoundary: 'window',\r\n      },\r\n    },\r\n    {\r\n      name: 'offset',\r\n      options: {\r\n        offset: [0, 10],\r\n      },\r\n    },\r\n  ],\r\n  placement: 'bottom',\r\n};\r\n\r\nexport const KEYS = {\r\n  ARROW_RIGHT: 39,\r\n  ARROW_LEFT: 37,\r\n  ESCAPE: 27,\r\n};\r\n","<template>\r\n  <div class=\"v-tour\">\r\n    <slot\r\n      :current-step=\"currentStep\"\r\n      :steps=\"steps\"\r\n      :previous-step=\"previousStep\"\r\n      :next-step=\"nextStep\"\r\n      :stop=\"stop\"\r\n      :skip=\"skip\"\r\n      :finish=\"finish\"\r\n      :is-first=\"isFirst\"\r\n      :is-last=\"isLast\"\r\n      :labels=\"customOptions.labels\"\r\n      :enabled-buttons=\"customOptions.enabledButtons\"\r\n      :highlight=\"customOptions.highlight\"\r\n      :debug=\"customOptions.debug\"\r\n    >\r\n      <!--Default slot {{ currentStep }}-->\r\n      <v-step\r\n        v-if=\"steps[currentStep]\"\r\n        :key=\"currentStep\"\r\n        :version=\"version\"\r\n        :step=\"steps[currentStep]\"\r\n        :previous-step=\"previousStep\"\r\n        :next-step=\"nextStep\"\r\n        :stop=\"stop\"\r\n        :skip=\"skip\"\r\n        :finish=\"finish\"\r\n        :is-first=\"isFirst\"\r\n        :is-last=\"isLast\"\r\n        :labels=\"customOptions.labels\"\r\n        :enabled-buttons=\"customOptions.enabledButtons\"\r\n        :highlight=\"customOptions.highlight\"\r\n        :stop-on-fail=\"customOptions.stopOnTargetNotFound\"\r\n        :debug=\"customOptions.debug\"\r\n        @targetNotFound=\"$emit('targetNotFound', $event)\"\r\n      >\r\n        <!--<div v-if=\"index === 2\" slot=\"actions\">\r\n          <a @click=\"nextStep\">Next step</a>\r\n        </div>-->\r\n      </v-step>\r\n    </slot>\r\n  </div>\r\n</template>\r\n\r\n<script>\r\nimport { DEFAULT_CALLBACKS, DEFAULT_OPTIONS, KEYS } from './constants';\r\n\r\nexport default {\r\n  name: 'VTour',\r\n  props: {\r\n    steps: {\r\n      type: Array,\r\n      default: () => [],\r\n    },\r\n    name: {\r\n      type: String,\r\n    },\r\n    options: {\r\n      type: Object,\r\n      default: () => {\r\n        return DEFAULT_OPTIONS;\r\n      },\r\n    },\r\n    callbacks: {\r\n      type: Object,\r\n      default: () => {\r\n        return DEFAULT_CALLBACKS;\r\n      },\r\n    },\r\n    version: {\r\n      type: String,\r\n      required: false,\r\n    },\r\n  },\r\n  data() {\r\n    return {\r\n      currentStep: -1,\r\n    };\r\n  },\r\n  computed: {\r\n    // Allow us to define custom options and merge them with the default options.\r\n    // Since options is a computed property, it is reactive and can be updated during runtime.\r\n    customOptions() {\r\n      return {\r\n        ...DEFAULT_OPTIONS,\r\n        ...this.options,\r\n      };\r\n    },\r\n    customCallbacks() {\r\n      return {\r\n        ...DEFAULT_CALLBACKS,\r\n        ...this.callbacks,\r\n      };\r\n    },\r\n    // Return true if the tour is active, which means that there's a VStep displayed\r\n    isRunning() {\r\n      return this.currentStep > -1 && this.currentStep < this.numberOfSteps;\r\n    },\r\n    isFirst() {\r\n      return this.currentStep === 0;\r\n    },\r\n    isLast() {\r\n      return this.currentStep === this.steps.length - 1;\r\n    },\r\n    numberOfSteps() {\r\n      return this.steps.length;\r\n    },\r\n    step() {\r\n      return this.steps[this.currentStep];\r\n    },\r\n  },\r\n  mounted() {\r\n    console.log('Adding Wizard Tour in:', this);\r\n    this.$tours[this.name] = this;\r\n  },\r\n  beforeDestroy() {\r\n    // Remove the keyup listener if it has been defined\r\n    if (this.customOptions.useKeyboardNavigation) {\r\n      window.removeEventListener('keyup', this.handleKeyup);\r\n    }\r\n  },\r\n  methods: {\r\n    async start(startStep) {\r\n      // Register keyup listeners for this tour\r\n      if (this.customOptions.useKeyboardNavigation) {\r\n        window.addEventListener('keyup', this.handleKeyup);\r\n      }\r\n\r\n      // Wait for the DOM to be loaded, then start the tour\r\n      startStep =\r\n        typeof startStep !== 'undefined' ? parseInt(startStep, 10) : 0;\r\n      let step = this.steps[startStep];\r\n\r\n      let process = () =>\r\n        new Promise((resolve, reject) => {\r\n          setTimeout(() => {\r\n            this.customCallbacks.onStart();\r\n            this.currentStep = startStep;\r\n            resolve();\r\n          }, this.customOptions.startTimeout);\r\n        });\r\n\r\n      if (typeof step.before !== 'undefined') {\r\n        try {\r\n          await step.before('start');\r\n        } catch (e) {\r\n          return Promise.reject(e);\r\n        }\r\n      }\r\n      await process();\r\n\r\n      return Promise.resolve();\r\n    },\r\n    async previousStep() {\r\n      let futureStep = this.currentStep - 1;\r\n\r\n      let process = () =>\r\n        new Promise((resolve, reject) => {\r\n          this.customCallbacks.onPreviousStep(this.currentStep);\r\n          this.currentStep = futureStep;\r\n          resolve();\r\n        });\r\n\r\n      if (futureStep > -1) {\r\n        let step = this.steps[futureStep];\r\n        if (typeof step.before !== 'undefined') {\r\n          try {\r\n            await step.before('previous');\r\n          } catch (e) {\r\n            return Promise.reject(e);\r\n          }\r\n        }\r\n        await process();\r\n      }\r\n\r\n      return Promise.resolve();\r\n    },\r\n    async nextStep() {\r\n      let futureStep = this.currentStep + 1;\r\n\r\n      let process = () =>\r\n        new Promise((resolve, reject) => {\r\n          this.customCallbacks.onNextStep(this.currentStep);\r\n          this.currentStep = futureStep;\r\n          resolve();\r\n        });\r\n\r\n      if (futureStep < this.numberOfSteps && this.currentStep !== -1) {\r\n        let step = this.steps[futureStep];\r\n        if (typeof step.before !== 'undefined') {\r\n          try {\r\n            await step.before('next');\r\n          } catch (e) {\r\n            return Promise.reject(e);\r\n          }\r\n        }\r\n        await process();\r\n      }\r\n\r\n      return Promise.resolve();\r\n    },\r\n    stop() {\r\n      this.customCallbacks.onStop();\r\n      document.body.classList.remove('v-tour--active');\r\n      this.currentStep = -1;\r\n    },\r\n    skip() {\r\n      this.customCallbacks.onSkip();\r\n      this.stop();\r\n    },\r\n    finish() {\r\n      this.customCallbacks.onFinish();\r\n      this.stop();\r\n    },\r\n\r\n    handleKeyup(e) {\r\n      if (this.customOptions.debug) {\r\n        console.log('[Vue Tour] A keyup event occured:', e);\r\n      }\r\n      switch (e.keyCode) {\r\n        case KEYS.ARROW_RIGHT:\r\n          this.isKeyEnabled('arrowRight') && this.nextStep();\r\n          break;\r\n        case KEYS.ARROW_LEFT:\r\n          this.isKeyEnabled('arrowLeft') && this.previousStep();\r\n          break;\r\n        // case KEYS.ESCAPE:\r\n        //   this.isKeyEnabled('escape') && this.stop();\r\n        //   break;\r\n      }\r\n    },\r\n    isKeyEnabled(key) {\r\n      const { enabledNavigationKeys } = this.customOptions;\r\n      return Object.prototype.hasOwnProperty.call(enabledNavigationKeys, key)\r\n        ? enabledNavigationKeys[key]\r\n        : true;\r\n    },\r\n  },\r\n};\r\n</script>\r\n\r\n<style lang=\"scss\">\r\nbody.v-tour--active {\r\n  pointer-events: none;\r\n}\r\n\r\n.v-tour {\r\n  pointer-events: auto;\r\n}\r\n\r\n.v-tour__target--highlighted {\r\n  box-shadow: 0 0 0 4px rgba(0, 0, 0, 0.4);\r\n  pointer-events: auto;\r\n  z-index: 9999;\r\n}\r\n\r\n.v-tour__target--relative {\r\n  position: relative;\r\n}\r\n</style>\r\n","import mod from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--13-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./VTour.vue?vue&type=script&lang=js\"; export default mod; export * from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--13-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./VTour.vue?vue&type=script&lang=js\"","import { render, staticRenderFns } from \"./VTour.vue?vue&type=template&id=35bb4ede\"\nimport script from \"./VTour.vue?vue&type=script&lang=js\"\nexport * from \"./VTour.vue?vue&type=script&lang=js\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./VTour.vue?vue&type=style&index=0&id=35bb4ede&prod&lang=scss\")\nif (style0.__inject__) style0.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  null,\n  null\n  ,true\n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c;return _c('div',{ref:'v-step-' + _vm.hash,staticClass:\"v-step\",class:{ 'v-step--sticky': _vm.isSticky },attrs:{\"id\":'v-step-' + _vm.hash}},[_vm._t(\"header\",function(){return [(_vm.step.header)?_c('div',{staticClass:\"v-step__counter\"},[(_vm.step.header.title)?_c('div',[_vm._v(\" \"+_vm._s(`${_vm.step.params.index}/${_vm.step.params.totalSteps}`)+\" \")]):_vm._e()]):_vm._e(),(_vm.step.header)?_c('div',{staticClass:\"v-step__header\"},[(_vm.step.header.title)?_c('div',{domProps:{\"innerHTML\":_vm._s(_vm.step.header.title)}}):_vm._e()]):_vm._e()]}),_vm._t(\"content\",function(){return [_c('div',{staticClass:\"v-step__content\"},[(_vm.step.content)?_c('div',{domProps:{\"innerHTML\":_vm._s(_vm.step.content)}}):_c('div',[_vm._v(\" This is a demo step! The id of this step is \"+_vm._s(_vm.hash)+\" and it targets \"+_vm._s(_vm.step.target)+\". \")])])]}),_vm._t(\"actions\",function(){return [_c('div',{staticClass:\"v-step__buttons\"},[(!_vm.isLast && _vm.isButtonEnabled('buttonSkip'))?_c('button',{staticClass:\"v-step__button v-step__button-skip\",on:{\"click\":function($event){$event.preventDefault();return _vm.skip.apply(null, arguments)}}},[_vm._v(\" \"+_vm._s(_vm.labels.buttonSkip)+\" \")]):_vm._e(),_c('div',[(!_vm.isFirst && _vm.isButtonEnabled('buttonPrevious'))?_c('button',{staticClass:\"v-step__button v-step__button-previous\",on:{\"click\":function($event){$event.preventDefault();return _vm.previousStep.apply(null, arguments)}}},[_vm._v(\" \"+_vm._s(_vm.labels.buttonPrevious)+\" \")]):_vm._e(),(!_vm.isLast && _vm.isButtonEnabled('buttonNext'))?_c('button',{staticClass:\"v-step__button v-step__button-next\",on:{\"click\":function($event){$event.preventDefault();return _vm.nextStep.apply(null, arguments)}}},[_vm._v(\" \"+_vm._s(_vm.labels.buttonNext)+\" \")]):_vm._e(),(_vm.isLast && _vm.isButtonEnabled('buttonStop'))?_c('button',{staticClass:\"v-step__button v-step__button-stop\",on:{\"click\":function($event){$event.preventDefault();return _vm.finish.apply(null, arguments)}}},[_vm._v(\" \"+_vm._s(_vm.labels.buttonStop)+\" \")]):_vm._e()])])]}),(_vm.version === 'V1')?_c('div',{staticClass:\"v-step__arrow\",class:{ 'v-step__arrow--dark': _vm.step.header && _vm.step.header.title },attrs:{\"data-popper-arrow\":\"\"}}):_vm._e(),(_vm.version === 'V2')?_c('div',{staticClass:\"v-step__arrow\",class:{ 'v-step__arrow--light': _vm.step.header && _vm.step.header.title },attrs:{\"data-popper-arrow\":\"\"}}):_vm._e()],2)\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","// Robert Penner's easeInOutQuad\n\n// find the rest of his easing functions here: http://robertpenner.com/easing/\n// find them exported for ES6 consumption here: https://github.com/jaxgeller/ez.js\n\nvar easeInOutQuad = function easeInOutQuad(t, b, c, d) {\n  t /= d / 2;\n  if (t < 1) return c / 2 * t * t + b;\n  t--;\n  return -c / 2 * (t * (t - 2) - 1) + b;\n};\n\nvar _typeof = typeof Symbol === \"function\" && typeof Symbol.iterator === \"symbol\" ? function (obj) {\n  return typeof obj;\n} : function (obj) {\n  return obj && typeof Symbol === \"function\" && obj.constructor === Symbol && obj !== Symbol.prototype ? \"symbol\" : typeof obj;\n};\n\nvar jumper = function jumper() {\n  // private variable cache\n  // no variables are created during a jump, preventing memory leaks\n\n  var element = void 0; // element to scroll to                   (node)\n\n  var start = void 0; // where scroll starts                    (px)\n  var stop = void 0; // where scroll stops                     (px)\n\n  var offset = void 0; // adjustment from the stop position      (px)\n  var easing = void 0; // easing function                        (function)\n  var a11y = void 0; // accessibility support flag             (boolean)\n\n  var distance = void 0; // distance of scroll                     (px)\n  var duration = void 0; // scroll duration                        (ms)\n\n  var timeStart = void 0; // time scroll started                    (ms)\n  var timeElapsed = void 0; // time spent scrolling thus far          (ms)\n\n  var next = void 0; // next scroll position                   (px)\n\n  var callback = void 0; // to call when done scrolling            (function)\n\n  // scroll position helper\n\n  function location() {\n    return window.scrollY || window.pageYOffset;\n  }\n\n  // element offset helper\n\n  function top(element) {\n    return element.getBoundingClientRect().top + start;\n  }\n\n  // rAF loop helper\n\n  function loop(timeCurrent) {\n    // store time scroll started, if not started already\n    if (!timeStart) {\n      timeStart = timeCurrent;\n    }\n\n    // determine time spent scrolling so far\n    timeElapsed = timeCurrent - timeStart;\n\n    // calculate next scroll position\n    next = easing(timeElapsed, start, distance, duration);\n\n    // scroll to it\n    window.scrollTo(0, next);\n\n    // check progress\n    timeElapsed < duration ? window.requestAnimationFrame(loop) // continue scroll loop\n    : done(); // scrolling is done\n  }\n\n  // scroll finished helper\n\n  function done() {\n    // account for rAF time rounding inaccuracies\n    window.scrollTo(0, start + distance);\n\n    // if scrolling to an element, and accessibility is enabled\n    if (element && a11y) {\n      // add tabindex indicating programmatic focus\n      element.setAttribute('tabindex', '-1');\n\n      // focus the element\n      element.focus();\n    }\n\n    // if it exists, fire the callback\n    if (typeof callback === 'function') {\n      callback();\n    }\n\n    // reset time for next jump\n    timeStart = false;\n  }\n\n  // API\n\n  function jump(target) {\n    var options = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};\n\n    // resolve options, or use defaults\n    duration = options.duration || 1000;\n    offset = options.offset || 0;\n    callback = options.callback; // \"undefined\" is a suitable default, and won't be called\n    easing = options.easing || easeInOutQuad;\n    a11y = options.a11y || false;\n\n    // cache starting position\n    start = location();\n\n    // resolve target\n    switch (typeof target === 'undefined' ? 'undefined' : _typeof(target)) {\n      // scroll from current position\n      case 'number':\n        element = undefined; // no element to scroll to\n        a11y = false; // make sure accessibility is off\n        stop = start + target;\n        break;\n\n      // scroll to element (node)\n      // bounding rect is relative to the viewport\n      case 'object':\n        element = target;\n        stop = top(element);\n        break;\n\n      // scroll to element (selector)\n      // bounding rect is relative to the viewport\n      case 'string':\n        element = document.querySelector(target);\n        stop = top(element);\n        break;\n    }\n\n    // resolve scroll distance, accounting for offset\n    distance = stop - start + offset;\n\n    // resolve duration\n    switch (_typeof(options.duration)) {\n      // number in ms\n      case 'number':\n        duration = options.duration;\n        break;\n\n      // function passed the distance of the scroll\n      case 'function':\n        duration = options.duration(distance);\n        break;\n    }\n\n    // start the loop\n    window.requestAnimationFrame(loop);\n  }\n\n  // expose only the jump method\n  return jump;\n};\n\n// export singleton\n\nvar singleton = jumper();\n\nexport default singleton;\n","<template>\r\n  <div\r\n    :id=\"'v-step-' + hash\"\r\n    :ref=\"'v-step-' + hash\"\r\n    :class=\"{ 'v-step--sticky': isSticky }\"\r\n    class=\"v-step\"\r\n  >\r\n    <slot name=\"header\">\r\n      <div v-if=\"step.header\" class=\"v-step__counter\">\r\n        <div v-if=\"step.header.title\">\r\n          {{ `${step.params.index}/${step.params.totalSteps}` }}\r\n        </div>\r\n      </div>\r\n      <div v-if=\"step.header\" class=\"v-step__header\">\r\n        <div v-if=\"step.header.title\" v-html=\"step.header.title\"></div>\r\n      </div>\r\n    </slot>\r\n\r\n    <slot name=\"content\">\r\n      <div class=\"v-step__content\">\r\n        <div v-if=\"step.content\" v-html=\"step.content\"></div>\r\n        <div v-else>\r\n          This is a demo step! The id of this step is {{ hash }} and it targets\r\n          {{ step.target }}.\r\n        </div>\r\n      </div>\r\n    </slot>\r\n\r\n    <slot name=\"actions\">\r\n      <div class=\"v-step__buttons\">\r\n        <button\r\n          v-if=\"!isLast && isButtonEnabled('buttonSkip')\"\r\n          class=\"v-step__button v-step__button-skip\"\r\n          @click.prevent=\"skip\"\r\n        >\r\n          {{ labels.buttonSkip }}\r\n        </button>\r\n        <div>\r\n          <button\r\n            v-if=\"!isFirst && isButtonEnabled('buttonPrevious')\"\r\n            class=\"v-step__button v-step__button-previous\"\r\n            @click.prevent=\"previousStep\"\r\n          >\r\n            {{ labels.buttonPrevious }}\r\n          </button>\r\n          <button\r\n            v-if=\"!isLast && isButtonEnabled('buttonNext')\"\r\n            class=\"v-step__button v-step__button-next\"\r\n            @click.prevent=\"nextStep\"\r\n          >\r\n            {{ labels.buttonNext }}\r\n          </button>\r\n          <button\r\n            v-if=\"isLast && isButtonEnabled('buttonStop')\"\r\n            class=\"v-step__button v-step__button-stop\"\r\n            @click.prevent=\"finish\"\r\n          >\r\n            {{ labels.buttonStop }}\r\n          </button>\r\n        </div>\r\n      </div>\r\n    </slot>\r\n\r\n    <div\r\n      v-if=\"version === 'V1'\"\r\n      class=\"v-step__arrow\"\r\n      :class=\"{ 'v-step__arrow--dark': step.header && step.header.title }\"\r\n      data-popper-arrow\r\n    ></div>\r\n    <div\r\n      v-if=\"version === 'V2'\"\r\n      class=\"v-step__arrow\"\r\n      :class=\"{ 'v-step__arrow--light': step.header && step.header.title }\"\r\n      data-popper-arrow\r\n    ></div>\r\n  </div>\r\n</template>\r\n\r\n<script>\r\nimport { createPopper } from '@popperjs/core';\r\nimport jump from 'jump.js';\r\nimport sum from 'hash-sum';\r\nimport { DEFAULT_STEP_OPTIONS, HIGHLIGHT } from './constants';\r\nimport { el } from 'date-fns/locale';\r\n\r\nexport default {\r\n  name: 'VStep',\r\n  props: {\r\n    step: {\r\n      type: Object,\r\n    },\r\n    previousStep: {\r\n      type: Function,\r\n    },\r\n    nextStep: {\r\n      type: Function,\r\n    },\r\n    stop: {\r\n      type: Function,\r\n    },\r\n    skip: {\r\n      type: Function,\r\n      default: function () {\r\n        this.stop();\r\n      },\r\n    },\r\n    finish: {\r\n      type: Function,\r\n      default: function () {\r\n        this.stop();\r\n      },\r\n    },\r\n    isFirst: {\r\n      type: Boolean,\r\n    },\r\n    isLast: {\r\n      type: Boolean,\r\n    },\r\n    labels: {\r\n      type: Object,\r\n    },\r\n    enabledButtons: {\r\n      type: Object,\r\n    },\r\n    highlight: {\r\n      type: Boolean,\r\n    },\r\n    stopOnFail: {\r\n      type: Boolean,\r\n    },\r\n    debug: {\r\n      type: Boolean,\r\n    },\r\n    version: {\r\n      type: String,\r\n      required: false,\r\n    },\r\n  },\r\n  data() {\r\n    return {\r\n      hash: sum(this.step.target),\r\n      targetElement: this.getElement(this.step.target),\r\n    };\r\n  },\r\n  computed: {\r\n    params() {\r\n      return {\r\n        ...DEFAULT_STEP_OPTIONS,\r\n        ...{ highlight: this.highlight }, // Use global tour highlight setting first\r\n        ...{ enabledButtons: Object.assign({}, this.enabledButtons) },\r\n        ...this.step.params, // Then use local step parameters if defined\r\n      };\r\n    },\r\n    /**\r\n     * A step is considered sticky if it has no target.\r\n     */\r\n    isSticky() {\r\n      return !this.step.target;\r\n    },\r\n  },\r\n  mounted() {\r\n    this.createStep();\r\n  },\r\n  destroyed() {\r\n    this.removeHighlight();\r\n  },\r\n  methods: {\r\n    getElement(target) {\r\n      var importWizard = document.querySelector('w2p-import-wizard-wrapper');\r\n      var importWizardOld =\r\n        this.version === 'V1'\r\n          ? document.querySelector('.w2p-import-wizard')\r\n          : document.querySelector('.import-wizard-v2');\r\n\r\n      if (importWizard && importWizard?.shadowRoot) {\r\n        return importWizard?.shadowRoot.querySelector(target);\r\n      } else if (importWizardOld && importWizardOld.shadowRoot) {\r\n        return importWizardOld?.shadowRoot.querySelector(target);\r\n      } else {\r\n        return document.querySelector(target);\r\n      }\r\n    },\r\n    createStep() {\r\n      if (this.debug) {\r\n        console.log(\r\n          '[Vue Tour] The target element ' +\r\n            this.step.target +\r\n            ' of .v-step[id=\"' +\r\n            this.hash +\r\n            '\"] is:',\r\n          this.targetElement\r\n        );\r\n      }\r\n\r\n      if (this.isSticky) {\r\n        document.body.appendChild(this.$refs['v-step-' + this.hash]);\r\n      } else {\r\n        if (this.targetElement) {\r\n          this.enableScrolling();\r\n          this.createHighlight();\r\n\r\n          createPopper(\r\n            this.targetElement,\r\n            this.$refs['v-step-' + this.hash],\r\n            this.params\r\n          );\r\n        } else {\r\n          if (this.debug) {\r\n            console.error(\r\n              '[Vue Tour] The target element ' +\r\n                this.step.target +\r\n                ' of .v-step[id=\"' +\r\n                this.hash +\r\n                '\"] does not exist!'\r\n            );\r\n          }\r\n          this.$emit('targetNotFound', this.step);\r\n          if (this.stopOnFail) {\r\n            this.stop();\r\n          }\r\n        }\r\n      }\r\n    },\r\n    enableScrolling() {\r\n      if (this.params.enableScrolling) {\r\n        if (this.step.duration || this.step.offset) {\r\n          let jumpOptions = {\r\n            duration: this.step.duration || 1000,\r\n            offset: this.step.offset || 0,\r\n            callback: undefined,\r\n            a11y: false,\r\n          };\r\n\r\n          jump(this.targetElement, jumpOptions);\r\n        } else {\r\n          // Use the native scroll by default if no scroll options has been defined\r\n          this.targetElement.scrollIntoView({ behavior: 'smooth' });\r\n        }\r\n      }\r\n    },\r\n    isHighlightEnabled() {\r\n      if (this.debug) {\r\n        console.log(\r\n          `[Vue Tour] Highlight is ${\r\n            this.params.highlight ? 'enabled' : 'disabled'\r\n          } for .v-step[id=\"${this.hash}\"]`\r\n        );\r\n      }\r\n      return this.params.highlight;\r\n    },\r\n    createHighlight() {\r\n      if (this.isHighlightEnabled()) {\r\n        document.body.classList.add(HIGHLIGHT.classes.active);\r\n        const transitionValue = window\r\n          .getComputedStyle(this.targetElement)\r\n          .getPropertyValue('transition');\r\n\r\n        // Make sure our background doesn't flick on transitions\r\n        if (transitionValue !== 'all 0s ease 0s') {\r\n          this.targetElement.style.transition = `${transitionValue}, ${HIGHLIGHT.transition}`;\r\n        }\r\n\r\n        this.targetElement.classList.add(HIGHLIGHT.classes.targetHighlighted);\r\n        // The element must have a position, if it doesn't have one, add a relative position class\r\n        if (!this.targetElement.style.position) {\r\n          this.targetElement.classList.add(HIGHLIGHT.classes.targetRelative);\r\n        }\r\n      } else {\r\n        document.body.classList.remove(HIGHLIGHT.classes.active);\r\n      }\r\n    },\r\n    removeHighlight() {\r\n      if (this.isHighlightEnabled()) {\r\n        const target = this.targetElement;\r\n        const currentTransition = this.targetElement.style.transition;\r\n        this.targetElement.classList.remove(\r\n          HIGHLIGHT.classes.targetHighlighted\r\n        );\r\n        this.targetElement.classList.remove(HIGHLIGHT.classes.targetRelative);\r\n        // Remove our transition when step is finished.\r\n        if (currentTransition.includes(HIGHLIGHT.transition)) {\r\n          setTimeout(() => {\r\n            target.style.transition = currentTransition.replace(\r\n              `, ${HIGHLIGHT.transition}`,\r\n              ''\r\n            );\r\n          }, 0);\r\n        }\r\n      }\r\n    },\r\n    isButtonEnabled(name) {\r\n      return Object.prototype.hasOwnProperty.call(\r\n        this.params.enabledButtons,\r\n        name\r\n      )\r\n        ? this.params.enabledButtons[name]\r\n        : true;\r\n    },\r\n  },\r\n};\r\n</script>\r\n\r\n<style lang=\"scss\" scoped>\r\n.v-step {\r\n  background: #393939; /* #ffc107, #35495e */\r\n  color: white;\r\n  max-width: 400px;\r\n  border-radius: 3px;\r\n  box-shadow: rgba(0, 0, 0, 0) 0px 0px 0px 0px, rgba(0, 0, 0, 0) 0px 0px 0px 0px,\r\n    rgba(0, 0, 0, 0.1) 0px 4px 6px -1px, rgba(0, 0, 0, 0.06) 0px 2px 4px -1px;\r\n  padding: 15px;\r\n  pointer-events: auto;\r\n  text-align: center;\r\n  z-index: 1000;\r\n\r\n  &--sticky {\r\n    position: fixed;\r\n    top: 50%;\r\n    left: 50%;\r\n    transform: translate(-50%, -50%);\r\n\r\n    & .v-step__arrow {\r\n      display: none;\r\n    }\r\n  }\r\n}\r\n\r\n.v-step__arrow,\r\n.v-step__arrow::before {\r\n  position: absolute;\r\n  width: 10px;\r\n  height: 10px;\r\n  background: inherit;\r\n}\r\n\r\n.v-step__arrow {\r\n  visibility: hidden;\r\n\r\n  &--dark {\r\n    &:before {\r\n      background: #393939;\r\n    }\r\n  }\r\n}\r\n\r\n.v-step__arrow::before {\r\n  visibility: visible;\r\n  content: '';\r\n  transform: rotate(45deg);\r\n  margin-left: -5px;\r\n}\r\n\r\n.v-step[data-popper-placement^='top'] > .v-step__arrow {\r\n  bottom: -5px;\r\n}\r\n\r\n.v-step[data-popper-placement^='bottom'] > .v-step__arrow {\r\n  top: -5px;\r\n}\r\n\r\n.v-step[data-popper-placement^='right'] > .v-step__arrow {\r\n  left: -5px;\r\n}\r\n\r\n.v-step[data-popper-placement^='left'] > .v-step__arrow {\r\n  right: -5px;\r\n}\r\n\r\n/* Custom */\r\n.v-step__counter {\r\n  border-top-left-radius: 3px;\r\n  border-top-right-radius: 3px;\r\n  text-align: left;\r\n  font-family: Roboto;\r\n  font-size: 12px;\r\n  font-weight: normal;\r\n  line-height: normal;\r\n  letter-spacing: 0.14px;\r\n  color: #c6c6c6;\r\n}\r\n\r\n.v-step__header {\r\n  margin: 7px 0px 0px 0px;\r\n  border-top-left-radius: 3px;\r\n  border-top-right-radius: 3px;\r\n  text-align: left;\r\n  font-family: Roboto;\r\n  font-size: 14px;\r\n  font-weight: bold;\r\n  line-height: 1.29;\r\n  letter-spacing: 0.16px;\r\n}\r\n\r\n.v-step__content {\r\n  margin: 7px 0px 0px 0px;\r\n  text-align: left;\r\n  font-family: Roboto;\r\n  font-size: 14px;\r\n  font-weight: normal;\r\n  line-height: 1.29;\r\n  letter-spacing: 0.16px;\r\n}\r\n\r\n.v-step__button {\r\n  font-family: Roboto;\r\n  font-size: 14px;\r\n  font-weight: normal;\r\n  font-stretch: normal;\r\n  font-style: normal;\r\n  line-height: 1.29;\r\n  letter-spacing: 0.16px;\r\n  color: white;\r\n  background-color: #24a148;\r\n  padding: 7px 18px 4px 16px;\r\n  border: 0px;\r\n  margin: 5px;\r\n\r\n  &:hover {\r\n    background-color: #229242;\r\n    color: white;\r\n    cursor: pointer;\r\n  }\r\n}\r\n\r\n.v-step__buttons {\r\n  display: flex;\r\n  justify-content: space-between;\r\n  text-align: right;\r\n  margin: 14px 0px 0px 0px;\r\n}\r\n\r\n.v-step__button-skip {\r\n  background: transparent;\r\n  color: #42be65;\r\n  padding: 0;\r\n\r\n  &:hover {\r\n    background-color: transparent;\r\n    color: white;\r\n    cursor: pointer;\r\n    color: #42be65;\r\n  }\r\n}\r\n</style>\r\n","import mod from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--13-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./VStep.vue?vue&type=script&lang=js\"; export default mod; export * from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--13-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./VStep.vue?vue&type=script&lang=js\"","import { render, staticRenderFns } from \"./VStep.vue?vue&type=template&id=a1b99918&scoped=true\"\nimport script from \"./VStep.vue?vue&type=script&lang=js\"\nexport * from \"./VStep.vue?vue&type=script&lang=js\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./VStep.vue?vue&type=style&index=0&id=a1b99918&prod&lang=scss&scoped=true\")\nif (style0.__inject__) style0.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  \"a1b99918\",\n  null\n  ,true\n)\n\nexport default component.exports","import VTour from './VTour';\r\nimport VStep from './VStep';\r\n\r\nconst VueTour = {\r\n  install(Vue, options) {\r\n    Vue.component(VTour.name, VTour);\r\n    Vue.component(VStep.name, VStep);\r\n\r\n    console.log('Setting tours on Vue prototype.');\r\n\r\n    // Object containing Tour objects (see VTour.vue) where the tour name is used as key\r\n    Vue.prototype.$tours = {};\r\n  },\r\n};\r\n\r\nexport default VueTour;\r\n\r\nif (typeof window !== 'undefined' && window.Vue) {\r\n  console.log('From main.js - Useing VueTours with:', window);\r\n  window.Vue.use(VueTour);\r\n}\r\n","/**\n * Copyright IBM Corp. 2019, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nimport { c as createSVGComponent } from '../utils-9450cd75.js';\nimport '@carbon/icon-helpers';\nimport 'vue';\n\nconst Notification20 = createSVGComponent('Notification20', {\n  \"xmlns\": \"http://www.w3.org/2000/svg\",\n  \"viewBox\": \"0 0 32 32\",\n  \"fill\": \"currentColor\",\n  \"width\": 20,\n  \"height\": 20\n}, [{\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M28.7071,19.293,26,16.5859V13a10.0136,10.0136,0,0,0-9-9.9492V1H15V3.0508A10.0136,10.0136,0,0,0,6,13v3.5859L3.2929,19.293A1,1,0,0,0,3,20v3a1,1,0,0,0,1,1h7v.7768a5.152,5.152,0,0,0,4.5,5.1987A5.0057,5.0057,0,0,0,21,25V24h7a1,1,0,0,0,1-1V20A1,1,0,0,0,28.7071,19.293ZM19,25a3,3,0,0,1-6,0V24h6Zm8-3H5V20.4141L7.707,17.707A1,1,0,0,0,8,17V13a8,8,0,0,1,16,0v4a1,1,0,0,0,.293.707L27,20.4141Z\"\n  }\n}]);\n\nexport { Notification20 as default };\n","/**\n * Copyright IBM Corp. 2019, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nimport { c as createSVGComponent } from '../utils-9450cd75.js';\nimport '@carbon/icon-helpers';\nimport 'vue';\n\nconst GeneratePdf16 = createSVGComponent('GeneratePdf16', {\n  \"xmlns\": \"http://www.w3.org/2000/svg\",\n  \"viewBox\": \"0 0 32 32\",\n  \"fill\": \"currentColor\",\n  \"width\": 16,\n  \"height\": 16\n}, [{\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M24,24v4H8V24H6v4H6a2,2,0,0,0,2,2H24a2,2,0,0,0,2-2h0V24Z\"\n  }\n}, {\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M21 21L19.586 19.586 17 22.172 17 14 15 14 15 22.172 12.414 19.586 11 21 16 26 21 21zM28 4L28 2 22 2 22 12 24 12 24 8 27 8 27 6 24 6 24 4 28 4zM17 12H13V2h4a3.0033 3.0033 0 013 3V9A3.0033 3.0033 0 0117 12zm-2-2h2a1.0011 1.0011 0 001-1V5a1.0011 1.0011 0 00-1-1H15zM9 2H4V12H6V9H9a2.0027 2.0027 0 002-2V4A2.0023 2.0023 0 009 2zM6 7V4H9l.001 3z\"\n  }\n}]);\n\nexport { GeneratePdf16 as default };\n","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return (_vm.isVerticalRulerDisplayed || _vm.isHorizontalRulerDisplayed)?_c('div',{staticClass:\"ruler\",style:({\n    '--ruler1-space': _vm.lowerTicksSpace,\n    '--ruler2-space': _vm.higherTicksSpace,\n  })},[(_vm.isHorizontalRulerDisplayed)?_c('ul',{staticClass:\"ruler-x\"},[_c('li'),_vm._l((_vm.points),function(point){return _c('li',{key:point},[_vm._v(_vm._s(point))])})],2):_vm._e(),(_vm.isVerticalRulerDisplayed)?_c('ul',{staticClass:\"ruler-y\",style:({\n    '--rulery-background': _vm.isDisabled ? 'none' : ' rgb(244, 244, 244)',\n  })},[_c('li'),_vm._l((_vm.points),function(point){return _c('li',{key:point},[_vm._v(_vm._s(point))])})],2):_vm._e()]):_vm._e()\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","\r\nimport Vue from 'vue';\r\nimport { useStore as useProductStore } from '@/stores/product';\r\nimport { mapState } from 'pinia';\r\nimport { mm2px } from '@midocean/webapps-shared-domain';\r\nexport default Vue.extend({\r\n  name: 'Ruler',\r\n  props: {\r\n    zoomLevel: {\r\n      type: Number,\r\n      required: false,\r\n      default: 1,\r\n    },\r\n    isVerticalRulerDisplayed: {\r\n      type: Boolean,\r\n      required: false,\r\n      default: false,\r\n    },\r\n    isDisabled: {\r\n      type: Boolean,\r\n      required: false,\r\n      default: false,\r\n    },\r\n    isHorizontalRulerDisplayed: {\r\n      type: Boolean,\r\n      required: false,\r\n      default: false,\r\n    },\r\n  },\r\n  data() {\r\n    return {\r\n      minMillimeterValue: 1,\r\n    };\r\n  },\r\n  computed: {\r\n    ...mapState(useProductStore, ['selectedPrintPosition']),\r\n    numberOfSpaces(): number {\r\n      return this.lowerTicksSpace < 10 || this.lowerTicksSpace > 25 ? 10 : 5;\r\n    },\r\n    lowerTicksSpace(): number {\r\n      return this.getMinLowerTicksSpace();\r\n    },\r\n    higherTicksSpace(): number {\r\n      return this.numberOfSpaces * this.lowerTicksSpace;\r\n    },\r\n    points(): number[] {\r\n      let millimeters: number[] = [];\r\n      let counter = 1;\r\n      while (counter * this.lowerTicksSpace < 770) {\r\n        millimeters.push(\r\n          counter * this.numberOfSpaces * this.minMillimeterValue\r\n        );\r\n        counter++;\r\n      }\r\n      return millimeters;\r\n    },\r\n  },\r\n  methods: {\r\n    getMinLowerTicksSpace(): number {\r\n      const minLowerTicksSpace =\r\n        mm2px(\r\n          this.minMillimeterValue,\r\n          this.selectedPrintPosition.originalImageWebDpi\r\n        ) * this.zoomLevel;\r\n      if (minLowerTicksSpace < 5) {\r\n        this.minMillimeterValue = 5;\r\n        return (\r\n          mm2px(\r\n            this.minMillimeterValue,\r\n            this.selectedPrintPosition.originalImageWebDpi\r\n          ) * this.zoomLevel\r\n        );\r\n      }\r\n      if (minLowerTicksSpace > 25) {\r\n        this.minMillimeterValue = 1;\r\n        return (\r\n          mm2px(\r\n            this.minMillimeterValue,\r\n            this.selectedPrintPosition.originalImageWebDpi\r\n          ) * this.zoomLevel\r\n        );\r\n      }\r\n      return minLowerTicksSpace;\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./Ruler.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./Ruler.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./Ruler.vue?vue&type=template&id=640c74c2&scoped=true\"\nimport script from \"./Ruler.vue?vue&type=script&lang=ts\"\nexport * from \"./Ruler.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./Ruler.vue?vue&type=style&index=0&id=640c74c2&prod&lang=scss&scoped=true\")\nif (style0.__inject__) style0.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  \"640c74c2\",\n  null\n  ,true\n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('cv-icon-button',{attrs:{\"id\":_vm.tool.id,\"kind\":_vm.isToolDisabled ? 'primary' : 'ghost',\"label\":_vm.$t(`tools.custom.${_vm.tool.label}`),\"size\":\"lg\",\"tip-position\":\"right\",\"tip-alignment\":\"start\",\"disabled\":_vm.isToolDisabled},on:{\"click\":_vm.tool.api.onClick},scopedSlots:_vm._u([{key:\"icon\",fn:function(){return [(_vm.tool.label === 'apply-pan-mode')?_c('custom-pan-svg'):(_vm.tool.label === 'apply-select-mode')?_c('custom-cursor-svg'):(_vm.tool.label === 'lanyard-options')?_c('img',{staticClass:\"img-lanyard\",attrs:{\"src\":_vm.lanyardIconSrc,\"draggable\":false}}):(_vm.tool.label === 'round-item-options')?_c('bar-24'):_c(_vm.tool.icon,{tag:\"component\"})]},proxy:true}])})\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","var render = function render(){var _vm=this,_c=_vm._self._c;return _c('svg',{attrs:{\"xmlns\":\"http://www.w3.org/2000/svg\",\"height\":\"18px\",\"viewBox\":\"0 0 24 24\",\"width\":\"18px\",\"fill\":\"#000000\"}},[_c('path',{attrs:{\"stroke-width\":\"0.8\",\"d\":\"M0 0h24v24H0z\",\"fill\":\"none\"}}),_c('path',{attrs:{\"stroke-width\":\"0.4\",\"stroke\":\"white\",\"d\":\"M18 24h-6.55c-1.08 0-2.14-.45-2.89-1.23l-7.3-7.61 2.07-1.83c.62-.55 1.53-.66 2.26-.27L8 14.34V4.79c0-1.38 1.12-2.5 2.5-2.5.17 0 .34.02.51.05.09-1.3 1.17-2.33 2.49-2.33.86 0 1.61.43 2.06 1.09.29-.12.61-.18.94-.18 1.38 0 2.5 1.12 2.5 2.5v.28c.16-.03.33-.05.5-.05 1.38 0 2.5 1.12 2.5 2.5V20c0 2.21-1.79 4-4 4zM4.14 15.28l5.86 6.1c.38.39.9.62 1.44.62H18c1.1 0 2-.9 2-2V6.15c0-.28-.22-.5-.5-.5s-.5.22-.5.5V12h-2V3.42c0-.28-.22-.5-.5-.5s-.5.22-.5.5V12h-2V2.51c0-.28-.22-.5-.5-.5s-.5.22-.5.5V12h-2V4.79c0-.28-.22-.5-.5-.5s-.5.23-.5.5v12.87l-5.35-2.83-.51.45z\"}})])\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","<template>\r\n  <svg\r\n    xmlns=\"http://www.w3.org/2000/svg\"\r\n    height=\"18px\"\r\n    viewBox=\"0 0 24 24\"\r\n    width=\"18px\"\r\n    fill=\"#000000\"\r\n  >\r\n    <path stroke-width=\"0.8\" d=\"M0 0h24v24H0z\" fill=\"none\" />\r\n    <path\r\n      stroke-width=\"0.4\"\r\n      stroke=\"white\"\r\n      d=\"M18 24h-6.55c-1.08 0-2.14-.45-2.89-1.23l-7.3-7.61 2.07-1.83c.62-.55 1.53-.66 2.26-.27L8 14.34V4.79c0-1.38 1.12-2.5 2.5-2.5.17 0 .34.02.51.05.09-1.3 1.17-2.33 2.49-2.33.86 0 1.61.43 2.06 1.09.29-.12.61-.18.94-.18 1.38 0 2.5 1.12 2.5 2.5v.28c.16-.03.33-.05.5-.05 1.38 0 2.5 1.12 2.5 2.5V20c0 2.21-1.79 4-4 4zM4.14 15.28l5.86 6.1c.38.39.9.62 1.44.62H18c1.1 0 2-.9 2-2V6.15c0-.28-.22-.5-.5-.5s-.5.22-.5.5V12h-2V3.42c0-.28-.22-.5-.5-.5s-.5.22-.5.5V12h-2V2.51c0-.28-.22-.5-.5-.5s-.5.22-.5.5V12h-2V4.79c0-.28-.22-.5-.5-.5s-.5.23-.5.5v12.87l-5.35-2.83-.51.45z\"\r\n    />\r\n  </svg>\r\n</template>\r\n\r\n<script>\r\nexport default {\r\n  name: 'CustomPanSvg',\r\n};\r\n</script>\r\n","import mod from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--13-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./CustomPanSvg.vue?vue&type=script&lang=js\"; export default mod; export * from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--13-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./CustomPanSvg.vue?vue&type=script&lang=js\"","import { render, staticRenderFns } from \"./CustomPanSvg.vue?vue&type=template&id=081d245e\"\nimport script from \"./CustomPanSvg.vue?vue&type=script&lang=js\"\nexport * from \"./CustomPanSvg.vue?vue&type=script&lang=js\"\n\n\n/* normalize component */\nimport normalizer from \"!../../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  null,\n  null,\n  null\n  ,true\n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c;return _c('svg',{attrs:{\"xmlns\":\"http://www.w3.org/2000/svg\",\"xmlns:xlink\":\"http://www.w3.org/1999/xlink\",\"viewBox\":\"0 0 50 50\",\"width\":\"18px\",\"height\":\"18px\"}},[_c('g',{attrs:{\"id\":\"surface246860\"}},[_c('path',{staticStyle:{\"stroke\":\"none\",\"fill-rule\":\"nonzero\",\"fill\":\"rgb(0%, 0%, 0%)\",\"fill-opacity\":\"1\"},attrs:{\"stroke-width\":\"0.4\",\"stroke\":\"white\",\"d\":\"M 13.757812 3 C 13.726562 3.007812 13.691406 3.023438 13.65625 3.035156 C 13.609375 3.054688 13.5625 3.078125 13.519531 3.101562 C 13.507812 3.101562 13.496094 3.101562 13.484375 3.101562 C 13.460938 3.113281 13.4375 3.125 13.414062 3.136719 C 13.402344 3.148438 13.394531 3.160156 13.382812 3.171875 C 13.367188 3.183594 13.359375 3.195312 13.347656 3.207031 C 13.3125 3.226562 13.277344 3.25 13.242188 3.273438 C 13.21875 3.296875 13.195312 3.316406 13.175781 3.34375 C 13.164062 3.367188 13.148438 3.390625 13.140625 3.414062 C 13.101562 3.457031 13.066406 3.503906 13.039062 3.550781 C 13.023438 3.5625 13.015625 3.570312 13.003906 3.585938 C 13.003906 3.597656 13.003906 3.605469 13.003906 3.617188 C 12.992188 3.640625 12.976562 3.664062 12.96875 3.6875 C 12.957031 3.699219 12.945312 3.710938 12.933594 3.722656 C 12.933594 3.742188 12.933594 3.769531 12.933594 3.789062 C 12.921875 3.832031 12.910156 3.882812 12.898438 3.929688 C 12.898438 3.960938 12.898438 3.996094 12.898438 4.03125 C 12.898438 4.042969 12.898438 4.054688 12.898438 4.066406 C 12.898438 4.078125 12.898438 4.085938 12.898438 4.101562 C 12.894531 4.15625 12.894531 4.214844 12.898438 4.273438 L 12.898438 40.398438 C 12.90625 40.839844 13.167969 41.234375 13.570312 41.40625 C 13.96875 41.578125 14.4375 41.492188 14.757812 41.191406 L 22.730469 33.695312 L 29.160156 48.546875 C 29.28125 48.816406 29.503906 49.03125 29.78125 49.136719 C 30.0625 49.238281 30.371094 49.226562 30.636719 49.097656 L 35.449219 46.898438 C 35.996094 46.648438 36.242188 46.003906 36 45.453125 L 29.296875 30.808594 L 40.503906 29.847656 C 40.945312 29.816406 41.328125 29.523438 41.472656 29.101562 C 41.617188 28.683594 41.492188 28.214844 41.15625 27.921875 L 14.929688 3.480469 C 14.875 3.417969 14.820312 3.359375 14.757812 3.308594 C 14.714844 3.257812 14.671875 3.214844 14.617188 3.171875 C 14.605469 3.171875 14.597656 3.171875 14.585938 3.171875 C 14.5625 3.144531 14.542969 3.125 14.515625 3.101562 C 14.503906 3.101562 14.492188 3.101562 14.480469 3.101562 C 14.425781 3.078125 14.371094 3.050781 14.308594 3.035156 C 14.296875 3.035156 14.289062 3.035156 14.273438 3.035156 C 14.253906 3.023438 14.226562 3.007812 14.207031 3 C 14.195312 3 14.183594 3 14.171875 3 C 14.148438 3 14.125 3 14.101562 3 C 14.089844 3 14.082031 3 14.070312 3 C 14.046875 3 14.023438 3 14 3 C 13.988281 3 13.976562 3 13.964844 3 C 13.929688 3 13.898438 3 13.863281 3 C 13.828125 3 13.792969 3 13.757812 3 Z M 15.101562 6.609375 L 37.855469 27.851562 L 27.542969 28.746094 C 27.191406 28.78125 26.878906 28.984375 26.703125 29.292969 C 26.519531 29.597656 26.503906 29.972656 26.648438 30.292969 L 33.558594 45.351562 L 30.742188 46.621094 L 24.140625 31.394531 C 24 31.066406 23.710938 30.828125 23.363281 30.753906 C 23.015625 30.675781 22.648438 30.773438 22.386719 31.015625 L 15.101562 37.855469 Z M 15.101562 6.609375 \"}})])])\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","<template>\r\n  <svg\r\n    xmlns=\"http://www.w3.org/2000/svg\"\r\n    xmlns:xlink=\"http://www.w3.org/1999/xlink\"\r\n    viewBox=\"0 0 50 50\"\r\n    width=\"18px\"\r\n    height=\"18px\"\r\n  >\r\n    <g id=\"surface246860\">\r\n      <path\r\n        stroke-width=\"0.4\"\r\n        stroke=\"white\"\r\n        style=\"\r\n          stroke: none;\r\n          fill-rule: nonzero;\r\n          fill: rgb(0%, 0%, 0%);\r\n          fill-opacity: 1;\r\n        \"\r\n        d=\"M 13.757812 3 C 13.726562 3.007812 13.691406 3.023438 13.65625 3.035156 C 13.609375 3.054688 13.5625 3.078125 13.519531 3.101562 C 13.507812 3.101562 13.496094 3.101562 13.484375 3.101562 C 13.460938 3.113281 13.4375 3.125 13.414062 3.136719 C 13.402344 3.148438 13.394531 3.160156 13.382812 3.171875 C 13.367188 3.183594 13.359375 3.195312 13.347656 3.207031 C 13.3125 3.226562 13.277344 3.25 13.242188 3.273438 C 13.21875 3.296875 13.195312 3.316406 13.175781 3.34375 C 13.164062 3.367188 13.148438 3.390625 13.140625 3.414062 C 13.101562 3.457031 13.066406 3.503906 13.039062 3.550781 C 13.023438 3.5625 13.015625 3.570312 13.003906 3.585938 C 13.003906 3.597656 13.003906 3.605469 13.003906 3.617188 C 12.992188 3.640625 12.976562 3.664062 12.96875 3.6875 C 12.957031 3.699219 12.945312 3.710938 12.933594 3.722656 C 12.933594 3.742188 12.933594 3.769531 12.933594 3.789062 C 12.921875 3.832031 12.910156 3.882812 12.898438 3.929688 C 12.898438 3.960938 12.898438 3.996094 12.898438 4.03125 C 12.898438 4.042969 12.898438 4.054688 12.898438 4.066406 C 12.898438 4.078125 12.898438 4.085938 12.898438 4.101562 C 12.894531 4.15625 12.894531 4.214844 12.898438 4.273438 L 12.898438 40.398438 C 12.90625 40.839844 13.167969 41.234375 13.570312 41.40625 C 13.96875 41.578125 14.4375 41.492188 14.757812 41.191406 L 22.730469 33.695312 L 29.160156 48.546875 C 29.28125 48.816406 29.503906 49.03125 29.78125 49.136719 C 30.0625 49.238281 30.371094 49.226562 30.636719 49.097656 L 35.449219 46.898438 C 35.996094 46.648438 36.242188 46.003906 36 45.453125 L 29.296875 30.808594 L 40.503906 29.847656 C 40.945312 29.816406 41.328125 29.523438 41.472656 29.101562 C 41.617188 28.683594 41.492188 28.214844 41.15625 27.921875 L 14.929688 3.480469 C 14.875 3.417969 14.820312 3.359375 14.757812 3.308594 C 14.714844 3.257812 14.671875 3.214844 14.617188 3.171875 C 14.605469 3.171875 14.597656 3.171875 14.585938 3.171875 C 14.5625 3.144531 14.542969 3.125 14.515625 3.101562 C 14.503906 3.101562 14.492188 3.101562 14.480469 3.101562 C 14.425781 3.078125 14.371094 3.050781 14.308594 3.035156 C 14.296875 3.035156 14.289062 3.035156 14.273438 3.035156 C 14.253906 3.023438 14.226562 3.007812 14.207031 3 C 14.195312 3 14.183594 3 14.171875 3 C 14.148438 3 14.125 3 14.101562 3 C 14.089844 3 14.082031 3 14.070312 3 C 14.046875 3 14.023438 3 14 3 C 13.988281 3 13.976562 3 13.964844 3 C 13.929688 3 13.898438 3 13.863281 3 C 13.828125 3 13.792969 3 13.757812 3 Z M 15.101562 6.609375 L 37.855469 27.851562 L 27.542969 28.746094 C 27.191406 28.78125 26.878906 28.984375 26.703125 29.292969 C 26.519531 29.597656 26.503906 29.972656 26.648438 30.292969 L 33.558594 45.351562 L 30.742188 46.621094 L 24.140625 31.394531 C 24 31.066406 23.710938 30.828125 23.363281 30.753906 C 23.015625 30.675781 22.648438 30.773438 22.386719 31.015625 L 15.101562 37.855469 Z M 15.101562 6.609375 \"\r\n      />\r\n    </g>\r\n  </svg>\r\n</template>\r\n\r\n<script>\r\nexport default {\r\n  name: 'CustomCursorSvg',\r\n};\r\n</script>\r\n","import mod from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--13-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./CustomCursorSvg.vue?vue&type=script&lang=js\"; export default mod; export * from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--13-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./CustomCursorSvg.vue?vue&type=script&lang=js\"","import { render, staticRenderFns } from \"./CustomCursorSvg.vue?vue&type=template&id=62881867\"\nimport script from \"./CustomCursorSvg.vue?vue&type=script&lang=js\"\nexport * from \"./CustomCursorSvg.vue?vue&type=script&lang=js\"\n\n\n/* normalize component */\nimport normalizer from \"!../../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  null,\n  null,\n  null\n  ,true\n)\n\nexport default component.exports","/**\n * Copyright IBM Corp. 2019, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nimport { c as createSVGComponent } from '../utils-9450cd75.js';\nimport '@carbon/icon-helpers';\nimport 'vue';\n\nconst Bar24 = createSVGComponent('Bar24', {\n  \"xmlns\": \"http://www.w3.org/2000/svg\",\n  \"viewBox\": \"0 0 32 32\",\n  \"fill\": \"currentColor\",\n  \"width\": 24,\n  \"height\": 24\n}, [{\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M25,11H15a1,1,0,0,0-1,1v4a6.0046,6.0046,0,0,0,5,5.91V28H16v2h8V28H21V21.91A6.0046,6.0046,0,0,0,26,16V12A1,1,0,0,0,25,11Zm-1,5a4,4,0,0,1-8,0V13h8Z\"\n  }\n}, {\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M15,1H10A1,1,0,0,0,9,2V9.3706A6.09,6.09,0,0,0,6,15V29a1,1,0,0,0,1,1h5V28H8V15c0-3.1875,2.231-4.02,2.3164-4.0513L11,10.7207V3h3V8h2V2A1,1,0,0,0,15,1Z\"\n  }\n}]);\n\nexport { Bar24 as default };\n","\r\nimport Vue from 'vue';\r\nimport { CvIconButton } from '@carbon/vue';\r\nimport { PropType } from 'vue';\r\nimport { Tool } from '../../typings';\r\nimport CustomPanSvg from './CustomPanSvg.vue';\r\nimport CustomCursorSvg from './CustomCursorSvg.vue';\r\nimport { mapState } from 'pinia';\r\nimport { useStore as useHistoryStore } from '@/stores/history';\r\nimport { useStore as useProductStore } from '@/stores/product';\r\n\r\nimport Bar24 from '@carbon/icons-vue/es/bar/24';\r\n\r\nexport default Vue.extend({\r\n  components: {\r\n    CvIconButton,\r\n    CustomPanSvg,\r\n    CustomCursorSvg,\r\n    Bar24,\r\n  },\r\n  props: {\r\n    tool: {\r\n      type: Object as PropType<Tool>,\r\n      required: true,\r\n    },\r\n  },\r\n  data() {\r\n    return {\r\n      lanyardIconSrc: require('../../../../assets/lanyard-icon.png'),\r\n    };\r\n  },\r\n  computed: {\r\n    ...mapState(useHistoryStore, ['isUndoPossible', 'isRedoPossible']),\r\n    ...mapState(useProductStore, ['unavailablePrintPositions']),\r\n    isToolDisabled(): boolean {\r\n      if (this.tool.label === 'apply-history-back-control') {\r\n        return !this.isUndoPossible;\r\n      }\r\n\r\n      if (this.tool.label === 'apply-history-forward-control') {\r\n        return !this.isRedoPossible;\r\n      }\r\n\r\n      if (\r\n        this.tool.label === 'apply-text-control' ||\r\n        this.tool.label === 'apply-modal-control'\r\n      ) {\r\n        return this.unavailablePrintPositions.length === 0;\r\n      }\r\n\r\n      return false;\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./CustomTool.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./CustomTool.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./CustomTool.vue?vue&type=template&id=51d15d1d\"\nimport script from \"./CustomTool.vue?vue&type=script&lang=ts\"\nexport * from \"./CustomTool.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./CustomTool.vue?vue&type=style&index=0&id=51d15d1d&prod&lang=scss\")\nif (style0.__inject__) style0.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  null,\n  null\n  ,true\n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('div',{attrs:{\"id\":\"toolbar--is_scoped\"}},_vm._l((_vm.sections),function(section){return _c('div',{key:section,class:`section-${section}`},_vm._l((Object.keys(_vm.toolsBySection[section])),function(group,index){return _c('div',{key:index,class:`group-${group}`},_vm._l((_vm.toolsBySection[section][group].value),function(tool){return _c('span',{key:tool.label,staticClass:\"tool\",attrs:{\"id\":tool.id}},[_c('custom-tool',{class:{ 'active-mode': tool.args.name === _vm.activeInteractionMode },attrs:{\"tool\":tool}})],1)}),0)}),0)}),0)\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","\r\nimport Vue, { PropType } from 'vue';\r\nimport CustomTool from './CustomTool.vue';\r\nimport { Tool, ToolSection } from '../../typings';\r\n\r\nexport default Vue.extend({\r\n  components: {\r\n    CustomTool,\r\n  },\r\n  props: {\r\n    toolset: {\r\n      type: [] as PropType<Tool[]>,\r\n      required: true,\r\n    },\r\n    isDisabled: {\r\n      type: Boolean,\r\n      default: false,\r\n    },\r\n    activeInteractionMode: {\r\n      type: String,\r\n      default: 'auto',\r\n    },\r\n  },\r\n  computed: {\r\n    toolsBySection() {\r\n      return this.toolset.reduce<ToolSection>((byGroup, tool) => {\r\n        return {\r\n          ...byGroup,\r\n          [tool.section]: {\r\n            ...byGroup[tool.section],\r\n            [tool.group]: {\r\n              value: (byGroup[tool.section]?.[tool.group]?.['value'] || [])\r\n                // Disable each tool in a toolset, when toolset :is-disabled=\"true\"\r\n                .concat({ ...tool, disabled: this.isDisabled }),\r\n            },\r\n          },\r\n        };\r\n      }, {} as ToolSection);\r\n    },\r\n    sections(): string[] {\r\n      return Object.keys(this.toolsBySection);\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./CustomToolset.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./CustomToolset.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./CustomToolset.vue?vue&type=template&id=57a4bc0e&scoped=true\"\nimport script from \"./CustomToolset.vue?vue&type=script&lang=ts\"\nexport * from \"./CustomToolset.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./CustomToolset.vue?vue&type=style&index=0&id=57a4bc0e&prod&lang=scss\")\nif (style0.__inject__) style0.__inject__(context)\nvar style1 = require(\"./CustomToolset.vue?vue&type=style&index=1&id=57a4bc0e&prod&lang=scss&scoped=true\")\nif (style1.__inject__) style1.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  \"57a4bc0e\",\n  null\n  ,true\n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('cv-header',{attrs:{\"aria-label\":\"pintura-header\"},scopedSlots:_vm._u([{key:\"header-global\",fn:function(){return [_vm._t(\"header-global\")]},proxy:true}],null,true)},[_c('cv-icon-button',{attrs:{\"kind\":\"ghost\",\"label\":_vm.buttonLabel,\"tip-position\":\"right\",\"tip-alignment\":\"start\"},on:{\"click\":_vm.sendEvent},scopedSlots:_vm._u([{key:\"icon\",fn:function(){return [_vm._t(\"icon\",function(){return [_c('arrow-left-20')]})]},proxy:true}],null,true)}),_c('cv-header-name',[_vm._t(\"title\")],2)],1)\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","/**\n * Copyright IBM Corp. 2019, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nimport { c as createSVGComponent } from '../utils-9450cd75.js';\nimport '@carbon/icon-helpers';\nimport 'vue';\n\nconst ArrowLeft20 = createSVGComponent('ArrowLeft20', {\n  \"xmlns\": \"http://www.w3.org/2000/svg\",\n  \"viewBox\": \"0 0 32 32\",\n  \"fill\": \"currentColor\",\n  \"width\": 20,\n  \"height\": 20\n}, [{\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M14 26L15.41 24.59 7.83 17 28 17 28 15 7.83 15 15.41 7.41 14 6 4 16 14 26z\"\n  }\n}]);\n\nexport { ArrowLeft20 as default };\n","\r\nimport Vue from 'vue';\r\n\r\nimport { CvHeader, CvHeaderName, CvIconButton } from '@carbon/vue';\r\n\r\nimport ArrowLeft20 from '@carbon/icons-vue/es/arrow--left/20';\r\n\r\nexport default Vue.extend({\r\n  name: 'PinturaHeader',\r\n  components: {\r\n    CvHeader,\r\n    CvHeaderName,\r\n    CvIconButton,\r\n    ArrowLeft20,\r\n  },\r\n  props: {\r\n    buttonLabel: {\r\n      type: String,\r\n      default: '',\r\n    },\r\n  },\r\n  methods: {\r\n    sendEvent() {\r\n      this.$emit('wizard:back-button-click');\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PinturaHeader.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PinturaHeader.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./PinturaHeader.vue?vue&type=template&id=ee8078c6&scoped=true\"\nimport script from \"./PinturaHeader.vue?vue&type=script&lang=ts\"\nexport * from \"./PinturaHeader.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./PinturaHeader.vue?vue&type=style&index=0&id=ee8078c6&prod&lang=scss&scoped=true\")\nif (style0.__inject__) style0.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  \"ee8078c6\",\n  null\n  ,true\n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('div',{staticClass:\"pintura-sidebar\"},[_c('modal',{attrs:{\"name\":\"print-positions-modal\",\"width\":\"900px\",\"height\":\"auto\",\"draggable\":false,\"scrollable\":true,\"click-to-close\":false}},[_c('print-positions-manager',{attrs:{\"initial-positions\":_vm.unavailablePrintPositions,\"edit-id\":_vm.editId,\"variant-sku\":_vm.selectedVariant ? _vm.selectedVariant.sku : '',\"context\":'wizard',\"language-code\":_vm.languageInUse,\"tok\":_vm.tok,\"sap-customer-id\":_vm.sapCustomerId},on:{\"wizard:price-params-changed\":(event) => _vm.$emit('wizard:price-params-changed', event),\"wizard:print-position-edit\":(event, newPositionId, oldPositionId) =>\n          _vm.$emit(\n            'wizard:print-position-edit',\n            event,\n            newPositionId,\n            oldPositionId\n          ),\"action:print-techniques-see-more-details\":() => _vm.$emit('action:print-techniques-see-more-details'),\"print-position:action\":function($event){return _vm.$emit('print-position:action')}}})],1),_c('pintura-sidebar-header',{attrs:{\"is-header-disabled\":_vm.isSidebarDisabled || !_vm.isProductPrintable},on:{\"positions:add\":_vm.openModal}}),_c('div',{staticStyle:{\"overflow-y\":\"auto\",\"overflow-x\":\"hidden\",\"height\":\"calc(100% - 200px)\"},attrs:{\"id\":\"artwork-details-panel\"}},_vm._l((_vm.activeSections),function(section){return _c('div',{key:section.id},[_c('div',{staticClass:\"sidebar__section\"},[(!_vm.isDisabledForText(section))?_c(section.component,_vm._b({directives:[{name:\"dynamic-events\",rawName:\"v-dynamic-events\",value:(_vm.knownEvents),expression:\"knownEvents\"}],tag:\"component\"},'component',{\n            sectionId: section.id,\n            isDisabled: _vm.isSidebarDisabled || !_vm.isProductPrintable,\n            selectedPrintPosition: _vm.selectedPrintPosition,\n            pdpChoicesData: _vm.pdpChoicesData,\n          },false)):_vm._e()],1)])}),0),_c('cv-modal',{staticClass:\"delete-position-modal\",attrs:{\"kind\":\"danger\",\"visible\":_vm.yesNoDialog,\"size\":\"small\"},on:{\"primary-click\":function($event){_vm.onDeletePrintPosition(_vm.deleteId), (_vm.yesNoDialog = false)},\"secondary-click\":function($event){_vm.yesNoDialog = false},\"modal-hidden\":function($event){_vm.yesNoDialog = false}},scopedSlots:_vm._u([{key:\"title\",fn:function(){return [_vm._v(_vm._s(_vm.$t('dialog.print-position__title--delete', { positionName: _vm.selectedPrintPosition.name, })))]},proxy:true},{key:\"content\",fn:function(){return [_vm._v(\" \"+_vm._s(_vm.$t('notification-inline.delete-confirmation'))+\" \"),_c('strong',[_vm._v(_vm._s(_vm.selectedPrintPosition.name)+\" (\"+_vm._s(_vm.techniqueNameTranslated)+\")\")]),_vm._v(\"? \"),_c('br'),_vm._v(\" \"+_vm._s(_vm.$t('notification-inline.delete-warning'))+\" \")]},proxy:true},{key:\"primary-button\",fn:function(){return [_vm._v(_vm._s(_vm.$t('dialog.actions.delete')))]},proxy:true},{key:\"secondary-button\",fn:function(){return [_vm._v(_vm._s(_vm.$t('dialog.actions.cancel')))]},proxy:true}])})],1)\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('div',[_c('cv-header',{attrs:{\"aria-label\":\"pintura-header\"}},[_c('div',{staticClass:\"select-printposition\"},[(!_vm.isDisabled)?_c('cv-dropdown',{directives:[{name:\"on-clickaway\",rawName:\"v-on-clickaway\",value:(_vm.onClickAway),expression:\"onClickAway\"}],ref:\"pp-dropdown\",attrs:{\"id\":\"print-positions\",\"disabled\":!_vm.selectedPrintPosition || _vm.isHeaderDisabled,\"placeholder\":_vm.$t('pintura.header.choose-position'),\"value\":_vm.selectedPrintPosition.id},on:{\"change\":(id) => _vm.changePrintPosition(id)}},_vm._l((_vm.printPositions),function(position){return _c('cv-dropdown-item',{key:position.id,attrs:{\"value\":position.id}},[_vm._v(\" \"+_vm._s(position.name)+\" \")])}),1):_vm._e()],1),_c('div',{staticClass:\"add-printposition\",attrs:{\"id\":\"add-print-position\"}},[_c('cv-button',{staticClass:\"add-printposition-button\",attrs:{\"icon\":_vm.Add32,\"kind\":\"ghost\",\"disabled\":_vm.isHeaderDisabled},on:{\"click\":function($event){return _vm.$emit('positions:add')}}},[_vm._v(\" \"+_vm._s(_vm.$t('sidebar.add-print-position'))+\" \")])],1)])],1)\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","/**\n * Copyright IBM Corp. 2019, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nimport { c as createSVGComponent } from '../utils-9450cd75.js';\nimport '@carbon/icon-helpers';\nimport 'vue';\n\nconst Add32 = createSVGComponent('Add32', {\n  \"xmlns\": \"http://www.w3.org/2000/svg\",\n  \"viewBox\": \"0 0 32 32\",\n  \"fill\": \"currentColor\",\n  \"width\": 32,\n  \"height\": 32\n}, [{\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M17 15L17 8 15 8 15 15 8 15 8 17 15 17 15 24 17 24 17 17 24 17 24 15z\"\n  }\n}]);\n\nexport { Add32 as default };\n","<template>\r\n  <div>\r\n    <cv-header aria-label=\"pintura-header\">\r\n      <div class=\"select-printposition\">\r\n        <cv-dropdown\r\n          v-if=\"!isDisabled\"\r\n          id=\"print-positions\"\r\n          ref=\"pp-dropdown\"\r\n          v-on-clickaway=\"onClickAway\"\r\n          :disabled=\"!selectedPrintPosition || isHeaderDisabled\"\r\n          :placeholder=\"$t('pintura.header.choose-position')\"\r\n          :value=\"selectedPrintPosition.id\"\r\n          @change=\"(id) => changePrintPosition(id)\"\r\n        >\r\n          <cv-dropdown-item\r\n            v-for=\"position in printPositions\"\r\n            :key=\"position.id\"\r\n            :value=\"position.id\"\r\n          >\r\n            {{ position.name }}\r\n          </cv-dropdown-item>\r\n        </cv-dropdown>\r\n      </div>\r\n      <div id=\"add-print-position\" class=\"add-printposition\">\r\n        <cv-button\r\n          :icon=\"Add32\"\r\n          kind=\"ghost\"\r\n          class=\"add-printposition-button\"\r\n          :disabled=\"isHeaderDisabled\"\r\n          @click=\"$emit('positions:add')\"\r\n        >\r\n          {{ $t('sidebar.add-print-position') }}\r\n        </cv-button>\r\n      </div>\r\n    </cv-header>\r\n  </div>\r\n</template>\r\n<script>\r\nimport Vue from 'vue';\r\n\r\nimport { CvHeader, CvDropdown, CvButton, CvDropdownItem } from '@carbon/vue';\r\nimport Add32 from '@carbon/icons-vue/es/add/32';\r\nimport { useStore as useProductStore } from '@/stores/product';\r\nimport { useStore as useShapeStore } from '@/stores/shape';\r\nimport { useStore as useHistoryStore } from '@/stores/history';\r\nimport { useStore as useNotificationStore } from '@/stores/notification';\r\nimport { useStore as useColorsManagementStore } from '@/stores/colorsManagement';\r\n\r\nimport { mapState, mapActions } from 'pinia';\r\nimport { mixin as clickaway } from 'vue-clickaway';\r\nimport { createStateSnapshot } from '@/utils/historyHelper';\r\n\r\nexport default Vue.extend({\r\n  name: 'PinturaSidebarHeader',\r\n\r\n  components: {\r\n    CvHeader,\r\n    CvDropdown,\r\n    CvButton,\r\n    CvDropdownItem,\r\n  },\r\n\r\n  mixins: [clickaway],\r\n\r\n  props: {\r\n    buttonLabel: {\r\n      type: String,\r\n      default: '',\r\n    },\r\n    isHeaderDisabled: {\r\n      type: Boolean,\r\n      required: true,\r\n    },\r\n  },\r\n\r\n  data: () => {\r\n    return { Add32 };\r\n  },\r\n\r\n  computed: {\r\n    ...mapState(useProductStore, [\r\n      'printPositions',\r\n      'selectedPrintPosition',\r\n      'unavailablePrintPositions',\r\n      'data',\r\n    ]),\r\n    ...mapState(useNotificationStore, ['notificationsForBell']),\r\n\r\n    isDisabled() {\r\n      return this.unavailablePrintPositions.length === 0;\r\n    },\r\n  },\r\n\r\n  methods: {\r\n    ...mapActions(useProductStore, [\r\n      'setActivePrintPosition',\r\n      'isLaserConverter',\r\n    ]),\r\n    ...mapActions(useShapeStore, ['deselectShape']),\r\n    ...mapActions(useColorsManagementStore, ['getAvailablePmsColors']),\r\n    ...mapActions(useHistoryStore, ['recordHistory']),\r\n    ...mapActions(useNotificationStore, [\r\n      'setLaserRemarkNotification',\r\n      'setCommercialRemarkNotification',\r\n    ]),\r\n    async changePrintPosition(id) {\r\n      const createSnapshot = this.selectedPrintPosition.id !== id;\r\n      const activePrintPosition = this.unavailablePrintPositions.find(\r\n        (position) => position.positionId === id\r\n      );\r\n\r\n      this.setActivePrintPosition(activePrintPosition);\r\n\r\n      const printPostion = this.data.productPrintPositions?.find(\r\n        (p) => p.id === id\r\n      );\r\n\r\n      this.setCommercialRemarkNotification();\r\n\r\n      await this.getAvailablePmsColors();\r\n\r\n      this.deselectShape();\r\n\r\n      if (createSnapshot) {\r\n        const snapshot = createStateSnapshot();\r\n        this.recordHistory(snapshot);\r\n      }\r\n    },\r\n    onClickAway() {\r\n      const dropdownEl = this.$refs['pp-dropdown'];\r\n      dropdownEl.onClickout();\r\n    },\r\n  },\r\n});\r\n</script>\r\n\r\n<style lang=\"scss\">\r\n@import '../../../../styles/carbon-utils';\r\n@import '../../../../styles/carbon-overrides.scss';\r\n\r\n.cv-header.bx--header {\r\n  z-index: 0;\r\n  background-color: #f4f4f4;\r\n  border-bottom: none;\r\n  height: 48px;\r\n\r\n  .bx--form-item {\r\n    width: 50%;\r\n    flex: unset;\r\n  }\r\n}\r\n\r\n.select-printposition {\r\n  display: flex;\r\n  justify-content: flex-start;\r\n  flex-grow: 8;\r\n  height: 48px;\r\n}\r\n\r\n.select-printposition .bx--list-box__label,\r\n.select-printposition .bx--form-item {\r\n  font-size: 14px;\r\n}\r\n\r\n.add-printposition {\r\n  height: 48px;\r\n  display: flex;\r\n  justify-content: flex-end;\r\n  flex-grow: 1;\r\n\r\n  &-button {\r\n    @include carbon--type-style('body-short-01');\r\n    width: 100%;\r\n    font-size: 14px;\r\n    display: flex;\r\n    justify-content: flex-end;\r\n  }\r\n}\r\n</style>\r\n","import mod from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--13-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PinturaSidebarHeader.vue?vue&type=script&lang=js\"; export default mod; export * from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--13-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PinturaSidebarHeader.vue?vue&type=script&lang=js\"","import { render, staticRenderFns } from \"./PinturaSidebarHeader.vue?vue&type=template&id=35a0c7f2\"\nimport script from \"./PinturaSidebarHeader.vue?vue&type=script&lang=js\"\nexport * from \"./PinturaSidebarHeader.vue?vue&type=script&lang=js\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./PinturaSidebarHeader.vue?vue&type=style&index=0&id=35a0c7f2&prod&lang=scss\")\nif (style0.__inject__) style0.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  null,\n  null\n  ,true\n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('style-provider',[_c('the-app',{attrs:{\"value\":_vm.positions,\"edit-id\":_vm.editId,\"product-sku\":_vm.productSku,\"variant-sku\":_vm.variantSku},on:{\"print-position:action\":_vm.savePositions,\"print-position:cancel\":_vm.onCloseModal,\"action:print-techniques-see-more-details\":() => _vm.$emit('action:print-techniques-see-more-details')}})],1)\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('div',{staticClass:\"print-positions-manager\"},[_c('print-positions-manager-header',{on:{\"print-position:cancel\":function($event){return _vm.$emit('print-position:cancel')}}},[_vm._v(\" \"+_vm._s((!!_vm.editId && _vm.$t('print-position.action.edit')) || _vm.$t('print-position.action.add'))+\" \")]),_c('cv-grid',{staticClass:\"full-width--fix\",attrs:{\"full-width\":\"\"}},[_c('cv-row',{attrs:{\"kind\":\"condensed\"}},[_c('cv-column',{attrs:{\"sm\":4,\"md\":8,\"lg\":16,\"xlg\":16,\"max\":16}},[_c('div',{staticClass:\"wrapper\"},[_vm._l((_vm.printPositionsComputed),function(position){return [(position.readyToPrint)?_c('print-technique',{key:position.positionName,attrs:{\"options\":position.options,\"position-id\":position.id,\"position-name\":position.positionName,\"position-dimensions\":position.dimensions,\"enabled\":position.enabled || position.id === _vm.editId,\"value\":_vm.internalModel.find(\n                  (model) => model.positionId === position.id\n                )},on:{\"input\":_vm.updateInternalModel,\"clear-selection\":_vm.clearTechniqueSelection},scopedSlots:_vm._u([{key:\"print-technique-image\",fn:function(){return [_c('print-technique-image',{attrs:{\"src\":position.cover}})]},proxy:true}],null,true)}):_vm._e()]})],2)])],1)],1),(_vm.printPositionsComputed && _vm.printPositionsComputed.length > 0)?_c('cv-accordion',{attrs:{\"align\":_vm.end}},[_c('cv-accordion-item',[_c('template',{slot:\"title\"},[_vm._v(_vm._s(_vm.$t('print-technique.action.more-details-about')))]),_c('template',{slot:\"content\"},[_c('cv-grid',{staticClass:\"techniques\",attrs:{\"full-width\":\"\"}},[_c('cv-row',{attrs:{\"kind\":\"condensed\"}},[_c('cv-column',{attrs:{\"sm\":4,\"md\":8,\"lg\":16,\"xlg\":16,\"max\":16}},[_c('div',{staticClass:\"wrapper\"},[_vm._l((_vm.data.groups.slice(0, 6)),function(group){return [_c('print-technique-group',{key:group.name,attrs:{\"data\":group}})]})],2),_c('div',{staticClass:\"more-details\"},[_c('a',{attrs:{\"id\":\"see-more-details\",\"href\":\"#\"},on:{\"click\":function($event){return _vm.$emit('action:print-techniques-see-more-details')}}},[_vm._v(\" \"+_vm._s(_vm.$t('print-technique.action.see-more-details'))+\" \")])])])],1)],1)],1)],2)],1):_vm._e(),_c('print-positions-manager-footer',{attrs:{\"is-add-enabled\":_vm.isAddEnabled,\"is-action-edit\":!!_vm.editId,\"is-warning-shown\":_vm.isWarningShown},on:{\"print-position:action\":function($event){return _vm.updateModel(_vm.internalModel)},\"print-position:cancel\":function($event){return _vm.$emit('print-position:cancel')}}})],1)\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('div',{staticClass:\"print-technique\",class:{ 'print-technique--enabled': _vm.enabled }},[_c('div',[_c('print-technique-header',{attrs:{\"title\":_vm.positionName,\"dimensions\":_vm.dimensions}}),_vm._t(\"print-technique-image\"),_c('div',{staticClass:\"print-technique-radios\"},[_vm._l((_vm.options),function(option,index){return [_c('cv-radio-group',{key:option.id,attrs:{\"vertical\":true}},[(option.readyToPrint)?_c('cv-radio-button',{attrs:{\"id\":`${_vm.positionName}-technique-${index}`,\"label\":option.techniqueName,\"value\":option.techniqueName || '',\"disabled\":!_vm.enabled,\"type\":\"radio\",\"checked\":option.id === _vm.value.technique.id},on:{\"change\":function($event){return _vm.onOptionChange(option)}}}):_vm._e(),(option.readyToPrint)?_c('span',{staticClass:\"technique_max-colours\",class:{\n              'technique_max-colours--disabled': !_vm.enabled,\n            }},[_vm._v(_vm._s(_vm.getMaximumColoursRepresentation( option.maximumColours, option.isFullColor ))+\" \")]):_vm._e()],1)]})],2)],2),_c('cv-button',{staticClass:\"print-technique-deselect\",attrs:{\"kind\":\"ghost\",\"disabled\":!_vm.enabled},on:{\"click\":_vm.onResetOptions}},[_vm._v(_vm._s(_vm.$t('print-position.action.clear-selection')))])],1)\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('div',{staticClass:\"wrapper\"},[_c('span',{attrs:{\"id\":\"title\"}},[_vm._v(_vm._s(_vm.title))]),_c('span',{attrs:{\"id\":\"dimensions\"}},[_vm._v(_vm._s(_vm.dimensions))])])\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","\r\nimport Vue from 'vue';\r\nexport default Vue.extend({\r\n  props: {\r\n    title: {\r\n      type: String,\r\n      required: true,\r\n    },\r\n    dimensions: {\r\n      type: String,\r\n      required: true,\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../node_modules/babel-loader/lib/index.js!../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PrintTechniqueHeader.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../node_modules/babel-loader/lib/index.js!../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PrintTechniqueHeader.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./PrintTechniqueHeader.vue?vue&type=template&id=df60dd3a&scoped=true\"\nimport script from \"./PrintTechniqueHeader.vue?vue&type=script&lang=ts\"\nexport * from \"./PrintTechniqueHeader.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./PrintTechniqueHeader.vue?vue&type=style&index=0&id=df60dd3a&prod&lang=scss&scoped=true\")\nif (style0.__inject__) style0.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  \"df60dd3a\",\n  null\n  ,true\n)\n\nexport default component.exports","\r\nimport Vue, { PropType } from 'vue';\r\n\r\nimport { CvRadioGroup, CvRadioButton, CvButton } from '@carbon/vue';\r\nimport PrintTechniqueHeader from './PrintTechniqueHeader.vue';\r\nimport { ProductPrintPositionAddModel } from '@/typings';\r\nimport { LocaleMessage } from 'vue-i18n';\r\n\r\nexport default Vue.extend({\r\n  name: 'PrintTechnique',\r\n  components: {\r\n    PrintTechniqueHeader,\r\n    CvRadioGroup,\r\n    CvRadioButton,\r\n    CvButton,\r\n  },\r\n  props: {\r\n    positionId: {\r\n      type: String,\r\n      required: true,\r\n    },\r\n    positionName: {\r\n      type: String,\r\n      required: true,\r\n    },\r\n    positionDimensions: {\r\n      type: Object as PropType<{ width: number; height: number }>,\r\n      required: true,\r\n    },\r\n    enabled: {\r\n      type: Boolean,\r\n      default: true,\r\n    },\r\n    /**\r\n     * This concrete print position's model value\r\n     */\r\n    value: {\r\n      type: Object,\r\n      default: () => ({\r\n        positionId: null,\r\n        positionName: 'uninitialised',\r\n        technique: { id: null },\r\n      }),\r\n    },\r\n    /**\r\n     * This concrete print postion's specific options\r\n     */\r\n    options: {\r\n      type: Array,\r\n      required: true,\r\n    },\r\n  },\r\n\r\n  computed: {\r\n    dimensions(): string {\r\n      const { height, width } = this.positionDimensions;\r\n      return `${width}mm x ${height}mm`;\r\n    },\r\n  },\r\n\r\n  methods: {\r\n    getMaximumColoursRepresentation(\r\n      numColours: number,\r\n      isFullColor: boolean\r\n    ): string | LocaleMessage {\r\n      return isFullColor\r\n        ? this.$t('print-position.full-colour')\r\n        : this.$t(`print-position.max-colours`) + `: ${numColours}`;\r\n    },\r\n    onResetOptions(option: any) {\r\n      if (!this.value.positionId) return;\r\n      this.$emit('clear-selection', {\r\n        ...this.value,\r\n        positionId: this.positionId,\r\n        positionName: this.positionName,\r\n        printPositionSAPCode: this.positionName,\r\n        maxHeightMm: this.positionDimensions.height,\r\n        maxWidthMm: this.positionDimensions.width,\r\n        technique: {\r\n          id: option.id,\r\n          techniqueName: option.techniqueName,\r\n          printTechniqueSAPCode: option.printTechniqueSAPCode,\r\n          groupCode: option.groupCode,\r\n        },\r\n      });\r\n    },\r\n    onOptionChange(option: any) {\r\n      this.$emit('input', {\r\n        ...this.value,\r\n        positionId: this.positionId,\r\n        positionName: this.positionName,\r\n        printPositionSAPCode: this.positionName,\r\n        maxHeightMm: this.positionDimensions.height,\r\n        maxWidthMm: this.positionDimensions.width,\r\n        technique: {\r\n          id: option.id,\r\n          techniqueName: option.techniqueName,\r\n          printTechniqueSAPCode: option.printTechniqueSAPCode,\r\n          groupCode: option.groupCode,\r\n        },\r\n      });\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../node_modules/babel-loader/lib/index.js!../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PrintTechnique.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../node_modules/babel-loader/lib/index.js!../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PrintTechnique.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./PrintTechnique.vue?vue&type=template&id=67639a9b\"\nimport script from \"./PrintTechnique.vue?vue&type=script&lang=ts\"\nexport * from \"./PrintTechnique.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./PrintTechnique.vue?vue&type=style&index=0&id=67639a9b&prod&lang=scss\")\nif (style0.__inject__) style0.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  null,\n  null\n  ,true\n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('cv-header',{staticClass:\"header\"},[_c('cv-header-name',[_c('span',[_vm._t(\"default\")],2)]),_c('cv-icon-button',{attrs:{\"label\":'close',\"tip-position\":\"right\",\"tip-alignment\":\"start\",\"kind\":\"ghost\"},on:{\"click\":function($event){return _vm.$emit('print-position:cancel')}},scopedSlots:_vm._u([{key:\"icon\",fn:function(){return [_c('close-20')]},proxy:true}])})],1)\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","\r\nimport Vue from 'vue';\r\nimport { CvHeader, CvHeaderName, CvIconButton } from '@carbon/vue';\r\nimport Close20 from '@carbon/icons-vue/es/close/20';\r\n\r\nexport default Vue.extend({\r\n  components: {\r\n    CvHeader,\r\n    CvHeaderName,\r\n    CvIconButton,\r\n    Close20,\r\n  },\r\n});\r\n","import mod from \"-!../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../node_modules/babel-loader/lib/index.js!../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PrintPositionsManagerHeader.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../node_modules/babel-loader/lib/index.js!../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PrintPositionsManagerHeader.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./PrintPositionsManagerHeader.vue?vue&type=template&id=88e224f4&scoped=true\"\nimport script from \"./PrintPositionsManagerHeader.vue?vue&type=script&lang=ts\"\nexport * from \"./PrintPositionsManagerHeader.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./PrintPositionsManagerHeader.vue?vue&type=style&index=0&id=88e224f4&prod&lang=scss&scoped=true\")\nif (style0.__inject__) style0.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  \"88e224f4\",\n  null\n  ,true\n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('div',[(_vm.isActionEdit && _vm.isWarningShown)?_c('div',{staticClass:\"inline-notification__wrapper\"},[_c('cv-inline-notification',{attrs:{\"kind\":\"warning\",\"title\":_vm.$t('notification-inline.position-switch__title'),\"sub-title\":_vm.$t('notification-inline.position-switch__subtitle'),\"hide-close-button\":true}})],1):_vm._e(),_c('div',{staticClass:\"print-positions__footer\"},[_c('cv-button-set',[_c('cv-button',{attrs:{\"kind\":\"secondary\"},on:{\"click\":function($event){return _vm.$emit('print-position:cancel')}}},[_vm._v(_vm._s(_vm.$t('section.actions.cancel')))]),_c('cv-button',{attrs:{\"disabled\":!_vm.isAddEnabled},on:{\"click\":function($event){return _vm.$emit('print-position:action')}}},[_vm._v(_vm._s(_vm.isActionEdit ? _vm.$t('main.actions.edit') : _vm.$t('main.actions.add')))])],1)],1)])\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","\r\nimport Vue from 'vue';\r\n\r\nimport { CvButton, CvButtonSet, CvInlineNotification } from '@carbon/vue';\r\n\r\nexport default Vue.extend({\r\n  components: { CvButton, CvButtonSet, CvInlineNotification },\r\n  props: {\r\n    isAddEnabled: {\r\n      type: Boolean,\r\n      required: true,\r\n    },\r\n    isActionEdit: {\r\n      type: Boolean,\r\n      required: true,\r\n    },\r\n    isWarningShown: {\r\n      type: Boolean,\r\n      required: true,\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../node_modules/babel-loader/lib/index.js!../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PrintPositionsManagerFooter.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../node_modules/babel-loader/lib/index.js!../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PrintPositionsManagerFooter.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./PrintPositionsManagerFooter.vue?vue&type=template&id=28dccb76\"\nimport script from \"./PrintPositionsManagerFooter.vue?vue&type=script&lang=ts\"\nexport * from \"./PrintPositionsManagerFooter.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./PrintPositionsManagerFooter.vue?vue&type=style&index=0&id=28dccb76&prod&lang=scss\")\nif (style0.__inject__) style0.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  null,\n  null\n  ,true\n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('div',{staticClass:\"wrapper thumbnail\"},[_c('img',{style:({ display: 'block', margin: '1.5rem auto' }),attrs:{\"src\":_vm.src,\"alt\":\"example product image\",\"width\":\"80px\"}})])\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","\r\nimport Vue from 'vue';\r\n\r\nexport default Vue.extend({\r\n  props: {\r\n    src: {\r\n      type: String,\r\n      required: true,\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../node_modules/babel-loader/lib/index.js!../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PrintTechniqueImage.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../node_modules/babel-loader/lib/index.js!../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PrintTechniqueImage.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./PrintTechniqueImage.vue?vue&type=template&id=12e3f52e&scoped=true\"\nimport script from \"./PrintTechniqueImage.vue?vue&type=script&lang=ts\"\nexport * from \"./PrintTechniqueImage.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./PrintTechniqueImage.vue?vue&type=style&index=0&id=12e3f52e&prod&lang=scss&scoped=true\")\nif (style0.__inject__) style0.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  \"12e3f52e\",\n  null\n  ,true\n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('div',{staticClass:\"print-technique-group\"},[_c('div',[_c('span',{attrs:{\"id\":\"title\"}},[_vm._v(_vm._s(_vm.getTechniqueName()))]),_c('div',[_vm._l((_vm.data.characteristics),function(characteristic){return [_c('div',{key:characteristic.id,staticClass:\"characteristic-item\",attrs:{\"id\":characteristic.id}},[(characteristic.isAdvantage)?_c('Checkmark16',{attrs:{\"id\":\"pro\"}}):_vm._e(),(!characteristic.isAdvantage)?_c('Close16',{attrs:{\"id\":\"con\"}}):_vm._e(),_c('span',{staticClass:\"characteristic-name\"},[_vm._v(\" \"+_vm._s(_vm.getCharacteristicName(characteristic))+\" \")])],1)]})],2)])])\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","\r\nimport Vue, { PropType } from 'vue';\r\nimport { mapState } from 'pinia';\r\nimport { useStore as useLangStore } from '@/stores/lang';\r\nimport { Checkmark16, Close16 } from '@carbon/icons-vue';\r\nimport {\r\n  ProductPrintDataGroup,\r\n  ProductPrintDataGroupCharacteristic,\r\n} from '@midocean/webapps-shared-domain';\r\n\r\nexport default Vue.extend({\r\n  name: 'PrintTechniqueGroup',\r\n  components: {\r\n    Checkmark16,\r\n    Close16,\r\n  },\r\n  props: {\r\n    data: {\r\n      type: Object as PropType<ProductPrintDataGroup>,\r\n    },\r\n  },\r\n  computed: {\r\n    ...mapState(useLangStore, ['languageInUse']),\r\n  },\r\n  methods: {\r\n    getTechniqueName(): string {\r\n      const techniqueName = this.data?.nameTranslations.find(\r\n        ({ language }) => language.code === this.languageInUse\r\n      )?.text;\r\n      return techniqueName || '';\r\n    },\r\n    getCharacteristicName(\r\n      characteristic: ProductPrintDataGroupCharacteristic\r\n    ): string {\r\n      const characteristicName = characteristic?.nameTranslations.find(\r\n        ({ language }) => language.code === this.languageInUse\r\n      )?.text;\r\n      return characteristicName || '';\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../node_modules/babel-loader/lib/index.js!../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PrintTechniqueGroup.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../node_modules/babel-loader/lib/index.js!../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PrintTechniqueGroup.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./PrintTechniqueGroup.vue?vue&type=template&id=4e93a04a\"\nimport script from \"./PrintTechniqueGroup.vue?vue&type=script&lang=ts\"\nexport * from \"./PrintTechniqueGroup.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./PrintTechniqueGroup.vue?vue&type=style&index=0&id=4e93a04a&prod&lang=scss\")\nif (style0.__inject__) style0.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  null,\n  null\n  ,true\n)\n\nexport default component.exports","\r\nimport Vue, { PropType } from 'vue';\r\nimport customersAPI from '@/services/CustomersService';\r\nimport {\r\n  CvGrid,\r\n  CvColumn,\r\n  CvRow,\r\n  CvAccordion,\r\n  CvAccordionItem,\r\n} from '@carbon/vue';\r\nimport {\r\n  PrintTechnique,\r\n  PrintTechniqueGroup,\r\n  PrintPositionsManagerHeader,\r\n  PrintPositionsManagerFooter,\r\n  PrintTechniqueImage,\r\n} from './components';\r\n\r\nimport { mapActions, mapState, mapStores } from 'pinia';\r\nimport { useStore as useProductStore } from '@/stores/v2/product';\r\nimport { useStore as useLangStore } from '@/stores/v2/lang';\r\nimport { useStore as useMirrorStore } from '@/stores/v2/mirror';\r\nimport { useStore as useShapeStore } from '@/stores/v2/shape';\r\nimport { ProductPrintPositionAddModel } from '@/typings';\r\nimport { PrintTechnique as PrintTechniqueType } from '@midocean/webapps-shared-domain';\r\n\r\nexport default Vue.extend({\r\n  components: {\r\n    PrintTechnique,\r\n    PrintTechniqueGroup,\r\n    PrintPositionsManagerHeader,\r\n    PrintPositionsManagerFooter,\r\n    PrintTechniqueImage,\r\n    CvGrid,\r\n    CvRow,\r\n    CvColumn,\r\n    CvAccordion,\r\n    CvAccordionItem,\r\n  },\r\n  props: {\r\n    value: {\r\n      type: [] as PropType<ProductPrintPositionAddModel[]>,\r\n      required: true,\r\n    },\r\n    /**\r\n     * When editId is provided, we know that we are in EDIT mode\r\n     */\r\n    editId: {\r\n      type: String,\r\n      required: true,\r\n    },\r\n    productSku: {\r\n      type: String,\r\n      required: false,\r\n    },\r\n    variantSku: {\r\n      type: String,\r\n      required: false,\r\n    },\r\n  },\r\n  data() {\r\n    return {\r\n      internalModel: [] as ProductPrintPositionAddModel[],\r\n      currentEditingItemId: this.editId,\r\n      /**\r\n       * Flag to tell if we should show the warning message\r\n       * In cases when position is about to be switched -\r\n       * (does not apply when switching techniques within the same position)\r\n       */\r\n      isWarningShown: false,\r\n      lastSwap: {},\r\n      end: 'end',\r\n    };\r\n  },\r\n  computed: {\r\n    ...mapState(useProductStore, [\r\n      'data',\r\n      'lastManagedPrintPositionId',\r\n      'selectedVariant',\r\n    ]),\r\n    ...mapStores(useProductStore),\r\n    ...mapState(useLangStore, ['languageInUse']),\r\n    printPositionsComputed():\r\n      | { id: string; positionName: string; enabled: boolean }[]\r\n      | undefined {\r\n      return (\r\n        this.data.productPrintPositions &&\r\n        this.data.productPrintPositions.map((position) => {\r\n          const {\r\n            id,\r\n            name,\r\n            printTechniques,\r\n            maxWidthMm,\r\n            maxHeightMm,\r\n            readyToPrint,\r\n          } = position;\r\n\r\n          const getTechniqueTranslation = (\r\n            lang: string,\r\n            technique: PrintTechniqueType\r\n          ) => {\r\n            return technique.printTechnique.nameTranslations.find(\r\n              ({ language }) => language.code === lang\r\n            )?.text;\r\n          };\r\n\r\n          return {\r\n            id,\r\n            positionName: name,\r\n            options: printTechniques.map((technique) => ({\r\n              id: technique.id,\r\n              maximumColours: technique.maximumColours,\r\n              isFullColor: technique.printTechnique.isFullColor,\r\n              printTechniqueSAPCode: technique.printTechnique.code,\r\n              techniqueName:\r\n                getTechniqueTranslation(this.languageInUse, technique) ||\r\n                getTechniqueTranslation('en', technique),\r\n              groupCode: technique.printTechnique.group.code,\r\n              readyToPrint: technique.readyToPrint,\r\n            })),\r\n            dimensions: {\r\n              width: maxWidthMm,\r\n              height: maxHeightMm,\r\n            },\r\n            cover:\r\n              this.data.variants\r\n                .find((v) => v.sku === this.variantSku)\r\n                ?.images.find((img) => img.printPositionID === id)\r\n                ?.imageThumbnailUrl || '',\r\n            enabled: !this.value.some(({ positionId }) => positionId === id),\r\n            readyToPrint,\r\n          };\r\n        })\r\n      );\r\n    },\r\n\r\n    isAddEnabled(): boolean {\r\n      if (this.editId) {\r\n        if (this.printPositionsComputed) {\r\n          let selectablePositionIds = this.printPositionsComputed\r\n            .filter((x) => x.enabled || x.id === this.editId)\r\n            .map((position) => position.id);\r\n          return (\r\n            this.internalModel.filter(\r\n              (x) => selectablePositionIds.lastIndexOf(x.positionId) !== -1\r\n            ).length > 0\r\n          );\r\n        } else {\r\n          return false;\r\n        }\r\n      } else {\r\n        return (\r\n          /**\r\n           * Do we have any free positions left to select/add!?\r\n           */\r\n\r\n          this.data.productPrintPositions?.length > this.value.length &&\r\n          /**\r\n           * Do we have selected something, other than previously selected and\r\n           * now disabled ones!?\r\n           */\r\n          this.internalModel.length - this.value.length > 0\r\n        );\r\n      }\r\n    },\r\n  },\r\n  async mounted() {\r\n    this.internalModel = [...this.value];\r\n  },\r\n\r\n  methods: {\r\n    log: console.log,\r\n    ...mapActions(useProductStore, ['getProduct']),\r\n    ...mapActions(useShapeStore, ['reassignRefs']),\r\n    ...mapActions(useMirrorStore, ['reassignMirrorShapes']),\r\n\r\n    saveSwap({ from, to }: { from: string; to: string }) {\r\n      this.lastSwap = {\r\n        from,\r\n        to,\r\n      };\r\n    },\r\n\r\n    updateModel(value: ProductPrintPositionAddModel[]) {\r\n      /**\r\n       * Reassing shape references when switching positions\r\n       */\r\n      this.reassignRefs(this.lastSwap as { from: string; to: string });\r\n      this.reassignMirrorShapes(this.lastSwap as { from: string; to: string });\r\n      /**\r\n       * Send model updates to parent\r\n       */\r\n      this.$emit('print-position:action', [...value], this.lastSwap);\r\n      /**\r\n       * Close the modal after edit/add action\r\n       */\r\n      \r\n      this.$modal.hide('print-positions-modal');\r\n      //this.$emit('print-position:cancel');\r\n    },\r\n\r\n    updateInternalModel(value: ProductPrintPositionAddModel) {\r\n      /**\r\n       * If editId is available we are in edit mode\r\n       * so we enter a position switching logic\r\n       */\r\n      if (this.editId) {\r\n        /**\r\n         * Keep the reference to the last managed print position\r\n         */\r\n        this.productStore.$patch({\r\n          lastManagedPrintPositionId: value.positionId,\r\n        });\r\n\r\n        /**\r\n         * When we deviate from the original item, we began editing with\r\n         * we issue a warning that some unpredictable behaviour may occur\r\n         */\r\n\r\n        this.isWarningShown = this.editId !== value.positionId;\r\n\r\n        const swapFrom = this.internalModel.find((m) => {\r\n          return m.positionId === this.currentEditingItemId;\r\n        });\r\n\r\n        const swapTo = { ...value };\r\n        this.currentEditingItemId = value.positionId;\r\n\r\n        if (swapFrom) {\r\n          this.internalModel.splice(\r\n            this.internalModel.findIndex(\r\n              (im) => im.positionId === swapFrom?.positionId\r\n            ),\r\n            1,\r\n            swapTo\r\n          );\r\n        } else {\r\n          this.internalModel.push(value);\r\n        }\r\n\r\n        /**\r\n         * Keep reference to last swap so we can reassign logo refs for edited\r\n         * position\r\n         */\r\n        this.saveSwap({\r\n          from: this.editId,\r\n          to: swapTo.positionId,\r\n        });\r\n\r\n        return;\r\n      }\r\n      /**\r\n       * End edit mode\r\n       */\r\n\r\n      /**\r\n       * Begin add mode\r\n       */\r\n      const modelIndex = this.internalModel.findIndex(\r\n        (position) => position.positionName === value.positionName\r\n      );\r\n      if (modelIndex > -1) {\r\n        /**\r\n         * Position exists, we update the model\r\n         */\r\n        this.internalModel.splice(modelIndex, 1, value);\r\n      } else {\r\n        /**\r\n         * Otherwise we just add the new model to the list\r\n         */\r\n        this.internalModel.push(value);\r\n      }\r\n    },\r\n    clearTechniqueSelection(value: ProductPrintPositionAddModel) {\r\n      const modelIndex = this.internalModel.findIndex(\r\n        (position) => position.positionName === value.positionName\r\n      );\r\n      if (modelIndex > -1) {\r\n        this.internalModel = this.internalModel.filter(\r\n          (model) => model.positionId !== value.positionId\r\n        );\r\n      }\r\n    },\r\n  },\r\n  watch: {\r\n    value(val) {\r\n      this.internalModel = [...val];\r\n    },\r\n    async languageInUse() {\r\n      if (process.env.VUE_APP_USE_LOCAL_TRANSLATIONS === 'false') {\r\n        var translationsJson = await customersAPI.getTranslations(\r\n          this.languageInUse\r\n        );\r\n        this.$i18n.setLocaleMessage(this.languageInUse, translationsJson.data);\r\n      }\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/ts-loader/index.js??ref--15-2!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./TheApp.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/ts-loader/index.js??ref--15-2!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./TheApp.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./TheApp.vue?vue&type=template&id=497fc83a&scoped=true\"\nimport script from \"./TheApp.vue?vue&type=script&lang=ts\"\nexport * from \"./TheApp.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./TheApp.vue?vue&type=style&index=0&id=497fc83a&prod&lang=scss&scoped=true\")\nif (style0.__inject__) style0.__inject__(context)\nvar style1 = require(\"./TheApp.vue?vue&type=style&index=1&id=497fc83a&prod&lang=scss\")\nif (style1.__inject__) style1.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  \"497fc83a\",\n  null\n  ,true\n)\n\nexport default component.exports","\r\nimport StyleProvider from '@/StyleProvider.vue';\r\nimport TheApp from './TheApp.vue';\r\nimport Vue, { PropType } from 'vue';\r\n\r\nimport i18n from '@/i18n';\r\nimport isValidLanguageValidator from '@/validators/langLocaleValidator';\r\n\r\nimport { useStore as useProductStore } from '@/stores/product';\r\nimport { useStore as useLangStore } from '@/stores/lang';\r\nimport { useStore as useShapeStore } from '@/stores/shape';\r\nimport { useStore as useAuthStore } from '@/stores/auth';\r\nimport { useStore as useMirrorStore } from '@/stores/mirror';\r\nimport { useStore as useHistoryStore } from '@/stores/history';\r\nimport { useStore as useNotificationStore } from '@/stores/notification';\r\nimport { pinia } from '@/pinia';\r\nimport { mapActions, mapState, mapStores } from 'pinia';\r\nimport { ProductPrintPositionAddModel } from '@/typings';\r\nimport { ComputedRef } from 'vue';\r\nimport { PDPPrintPositionsModel } from '@/typings/ProductPrintData';\r\nimport { generateEventPayload } from '@/utils/generatePriceParamsEventPayload';\r\nimport { SupportedLangCodes } from '../../constants/languageCodes';\r\nimport { createStateSnapshot } from '@/utils/historyHelper';\r\n\r\nconst EMPTY_GUID = '00000000-0000-0000-0000-000000000000';\r\n\r\ndeclare module 'vue/types/vue' {\r\n  interface Vue {\r\n    $printPositions: ComputedRef;\r\n  }\r\n}\r\nexport default Vue.extend({\r\n  components: {\r\n    StyleProvider,\r\n    TheApp,\r\n  },\r\n  inject: {\r\n    $printPositions: {\r\n      default: [],\r\n    },\r\n  },\r\n  props: {\r\n    sapCustomerId: {\r\n      type: String,\r\n      required: false,\r\n      default: '',\r\n    },\r\n    tok: {\r\n      type: String,\r\n      required: true,\r\n    },\r\n    languageCode: {\r\n      type: String as PropType<SupportedLangCodes>,\r\n      required: false,\r\n      default: 'en',\r\n      validator: isValidLanguageValidator,\r\n    },\r\n    editId: {\r\n      type: String,\r\n      required: false,\r\n      default: '',\r\n    },\r\n    productSku: {\r\n      type: String,\r\n      required: false,\r\n      default: '',\r\n    },\r\n    variantSku: {\r\n      type: String,\r\n      required: false,\r\n      default: '',\r\n    },\r\n    context: {\r\n      type: String,\r\n      required: true,\r\n      default: 'pdp',\r\n    },\r\n    /**\r\n     * If needed initially occupied positions with their respective techniques\r\n     * can be specified\r\n     */\r\n    initialPositions: {\r\n      type: [] as PropType<PDPPrintPositionsModel[]>,\r\n      default() {\r\n        return [];\r\n      },\r\n    },\r\n  },\r\n  data() {\r\n    return {\r\n      positions: [] as ProductPrintPositionAddModel[],\r\n    };\r\n  },\r\n  computed: {\r\n    ...mapStores(useProductStore),\r\n    ...mapStores(useHistoryStore),\r\n    ...mapState(useAuthStore, ['isTokValid']),\r\n    ...mapState(useProductStore, [\r\n      'data',\r\n      'unavailablePrintPositions',\r\n      'positionsSetFromProps',\r\n      'isLaserConverter',\r\n    ]),\r\n    ...mapState(useShapeStore, ['positionShapeMap']),\r\n    ...mapState(useMirrorStore, ['positionMirrorSettings']),\r\n  },\r\n  watch: {\r\n    isTokValid(newValue) {\r\n      if (!newValue) {\r\n        this.$emit('token-invalid-or-expired');\r\n      }\r\n    },\r\n    async tok(newValue) {\r\n      if (newValue !== '') {\r\n        this.setTok(this.tok);\r\n        await this.setDefaultTranslations();\r\n      }\r\n    },\r\n    async initialPositions() {\r\n      if (this.context !== 'wizard') {\r\n        await this.initializeFromPdpContext();\r\n        this.positions = [...this.unavailablePrintPositions];\r\n      }\r\n    },\r\n  },\r\n  async mounted() {\r\n    this.setLanguageLocale(this.languageCode);\r\n    this.setSapCustomerId(this.sapCustomerId);\r\n    this.setTok(this.tok);\r\n    await this.setDefaultTranslations();\r\n\r\n    if (this.context !== 'wizard') {\r\n      /**\r\n       *  Used when this component is initialised on it's own\r\n       */\r\n      await this.initializeFromPdpContext();\r\n    } else {\r\n      /**\r\n       * Used when initialisation is done in a context of a wizard component\r\n       */\r\n      console.warn('$printPositions Injection(): ', this.$printPositions.value);\r\n\r\n      this.setUnavailablePrintPositions(this.unavailablePrintPositions);\r\n    }\r\n\r\n    // Pass the newly set unavailablePrintPositions to the positions array that will be passed to the child component\r\n    this.positions = [...this.unavailablePrintPositions];\r\n  },\r\n  methods: {\r\n    ...mapActions(useLangStore, [\r\n      'setLanguageLocale',\r\n      'setDefaultTranslations',\r\n    ]),\r\n    ...mapActions(useAuthStore, ['setSapCustomerId', 'setTok']),\r\n    ...mapActions(useProductStore, [\r\n      'getProduct',\r\n      'setUnavailablePrintPositions',\r\n      'setActivePrintPosition',\r\n    ]),\r\n    ...mapActions(useMirrorStore, ['addPositionMirrorSettings']),\r\n    ...mapActions(useHistoryStore, ['recordHistory']),\r\n    ...mapActions(useNotificationStore, ['revalidateEmptyPrintPositions']),\r\n\r\n    onCloseModal() {\r\n      this.$modal.hide('print-positions-modal');\r\n\r\n      this.$emit('print-position:cancel');\r\n    },\r\n    async initializeFromPdpContext() {\r\n      const pdpPositions = [] as ProductPrintPositionAddModel[];\r\n\r\n      if (this.productSku) {\r\n        await this.getProduct(this.productSku).then((result) => {\r\n          this.initialPositions.map((initPosition) => {\r\n            const printPosition = result.productPrintPositions.find((p) => {\r\n              return p.name === initPosition.printPositionSAPCode;\r\n            });\r\n\r\n            if (printPosition) {\r\n              const printTechnique = printPosition.printTechniques.find((t) => {\r\n                return (\r\n                  t.printTechnique.code === initPosition.printTechniqueSAPCode\r\n                );\r\n              });\r\n\r\n              if (printTechnique) {\r\n                pdpPositions.push({\r\n                  positionId: printPosition.id,\r\n                  positionName: printPosition.name,\r\n                  printPositionSAPCode: printPosition.name,\r\n                  maxHeightMm: printPosition.maxHeightMm,\r\n                  maxWidthMm: printPosition.maxWidthMm,\r\n                  technique: {\r\n                    id: printTechnique.id,\r\n                    printTechniqueSAPCode: printTechnique.printTechnique.code,\r\n                    techniqueName: printTechnique.printTechnique.name,\r\n                    groupCode: printTechnique.printTechnique.group.code,\r\n                  },\r\n                });\r\n              }\r\n            }\r\n          });\r\n        });\r\n      }\r\n\r\n      // Reset the unavailablePrintPositions array depending on the users chosen print positions on the PDP page\r\n      this.setUnavailablePrintPositions(pdpPositions);\r\n    },\r\n\r\n    savePositions(\r\n      value: ProductPrintPositionAddModel[],\r\n      lastSwap: { from: string; to: string }\r\n    ) {\r\n      this.positions = value;\r\n      this.setUnavailablePrintPositions(value);\r\n      this.revalidateEmptyPrintPositions();\r\n\r\n      this.positions.forEach((p) => {\r\n        const idx = this.positionMirrorSettings.findIndex(\r\n          (x) => x.positionId === p.positionId\r\n        );\r\n        if (idx === -1) {\r\n          this.addPositionMirrorSettings(p.positionId, false, false);\r\n        }\r\n      });\r\n\r\n      const eventPayload = generateEventPayload();\r\n\r\n      this.$emit('wizard:price-params-changed', {\r\n        productPrintPositions: eventPayload,\r\n      });\r\n\r\n      if (this.editId !== '' && this.editId !== EMPTY_GUID) {\r\n        const selectedPrintPosition = value.find(\r\n          (v) => v.positionId === lastSwap.to\r\n        ) as ProductPrintPositionAddModel;\r\n\r\n        this.setActivePrintPosition(selectedPrintPosition);\r\n        this.productStore.$patch((state) => {\r\n          const exists = state.editedPositions.some((id) => id === this.editId);\r\n          if (!exists) {\r\n            state.editedPositions.push(this.editId);\r\n          }\r\n        });\r\n        this.$emit(\r\n          'wizard:print-position-edit',\r\n          value,\r\n          lastSwap.to,\r\n          lastSwap.from\r\n        );\r\n        return;\r\n      }\r\n\r\n      this.$emit('print-position:action', [...value]);\r\n\r\n      const snapshot = createStateSnapshot();\r\n      this.recordHistory(snapshot);\r\n    },\r\n  },\r\n  i18n,\r\n  pinia,\r\n});\r\n","import mod from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/ts-loader/index.js??ref--15-2!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./print-positions-manager.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/ts-loader/index.js??ref--15-2!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./print-positions-manager.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./print-positions-manager.vue?vue&type=template&id=485a1e77\"\nimport script from \"./print-positions-manager.vue?vue&type=script&lang=ts\"\nexport * from \"./print-positions-manager.vue?vue&type=script&lang=ts\"\n\n\n/* normalize component */\nimport normalizer from \"!../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  null,\n  null,\n  null\n  ,true\n)\n\nexport default component.exports","\r\nimport Vue from 'vue';\r\n\r\nimport { PinturaSidebarHeader } from '../sidebar-header';\r\nimport { useStore as useProductStore } from '@/stores/product';\r\nimport { useStore as useSectionStore } from '@/stores/section';\r\nimport { useStore as useNotificationStore } from '@/stores/notification';\r\nimport { useStore as useMirrorStore } from '@/stores/mirror';\r\nimport { useStore as useShapeStore } from '@/stores/shape';\r\nimport { useStore as useHistoryStore } from '@/stores/history';\r\nimport { mapActions, mapState, mapStores } from 'pinia';\r\nimport { CvModal, CvButton } from '@carbon/vue';\r\nimport { useStore as useColorsManagementStore } from '@/stores/colorsManagement';\r\nimport PrintPositionsManager from '../../../print-positions-manager/print-positions-manager.vue';\r\nimport { generateEventPayload } from '@/utils/generatePriceParamsEventPayload';\r\nimport { ProductPrintPositionAddModel } from '@/typings/ProductPrintData';\r\nimport { PropType } from 'vue';\r\nimport { PdpChoicesSetterType } from '@/setters/typings';\r\nimport { useStore as useLangStore } from '@/stores/lang';\r\nimport { createStateSnapshot } from '@/utils/historyHelper';\r\n\r\nexport default Vue.extend({\r\n  name: 'PinturaSidebar',\r\n  props: {\r\n    pdpChoicesData: {\r\n      type: Object as PropType<PdpChoicesSetterType>,\r\n      required: true,\r\n    },\r\n    sapCustomerId: {\r\n      type: String,\r\n      required: true,\r\n    },\r\n    tok: {\r\n      type: String,\r\n      required: true,\r\n    },\r\n  },\r\n  directives: {\r\n    DynamicEvents: {\r\n      bind: function (el, binding, vnode) {\r\n        const allEvents = binding.value;\r\n        allEvents.forEach((event: string) => {\r\n          vnode.componentInstance?.$on(event, (eventData: unknown) => {\r\n            (\r\n              vnode.context as Vue & {\r\n                proxyEvent: (event: string, eventData: unknown) => void;\r\n              }\r\n            )?.proxyEvent(event, eventData);\r\n          });\r\n        });\r\n      },\r\n      unbind: function (el, binding, vnode) {\r\n        vnode.componentInstance?.$off();\r\n      },\r\n    },\r\n  },\r\n  components: {\r\n    PinturaSidebarHeader,\r\n    PrintPositionsManager,\r\n    CvButton,\r\n    CvModal,\r\n    'shape-box-size': () =>\r\n      import(\r\n        /* webpackChunkName: \"sidebar-sections\" */ '../sections/section-a/ShapeBoxSize.vue'\r\n      ),\r\n    'color-management': () =>\r\n      import(\r\n        /* webpackChunkName: \"sidebar-sections\" */ '../sections/color-management/ColorManagement.vue'\r\n      ),\r\n    'background-type-selection': () =>\r\n      import(\r\n        /* webpackChunkName: \"sidebar-sections\" */ '../sections/section-b/BackgroundTypeSelection.vue'\r\n      ),\r\n    'print-position-box': () =>\r\n      import(\r\n        /* webpackChunkName: \"sidebar-sections\" */ '../sections/section-c/PrintPositionBox.vue'\r\n      ),\r\n    'price-calc': () =>\r\n      import(\r\n        /* webpackChunkName: \"sidebar-sections\" */ '../sections/price-calc-section/PriceCalc.vue'\r\n      ),\r\n    'confirm-and-order': () =>\r\n      import(\r\n        /* webpackChunkName: \"sidebar-sections\" */ '../sections/confirm-and-order-section/ConfirmAndOrder.vue'\r\n      ),\r\n    'ruler-settings': () =>\r\n      import(\r\n        /* webpackChunkName: \"ruler-settings\" */ '../sections/ruler-settings/RulerSettings.vue'\r\n      ),\r\n  },\r\n  data: () => {\r\n    return {\r\n      showBackgroundOptions: false,\r\n      editId: '',\r\n      deleteId: '',\r\n      isSidebarDisabled: false,\r\n      yesNoDialog: false,\r\n      knownEvents: [\r\n        'action:edit',\r\n        'action:delete',\r\n        'wizard:price-params-changed',\r\n        'action:disable-pintura',\r\n        'action:change-color',\r\n        'action:trigger-small-details',\r\n        'action:update-is-concept',\r\n        'ruler:show-horizontal',\r\n        'ruler:show-vertical',\r\n      ],\r\n    };\r\n  },\r\n  computed: {\r\n    ...mapState(useProductStore, [\r\n      'selectedPrintPosition',\r\n      'selectedVariant',\r\n      'unavailablePrintPositions',\r\n      'isProductPrintable',\r\n      'data',\r\n      'printPositions',\r\n      'activePosition',\r\n    ]),\r\n    ...mapStores(useSectionStore, useNotificationStore),\r\n    ...mapState(useSectionStore, ['activeSections', 'sections', 'appContext']),\r\n    ...mapState(useShapeStore, ['activeShapeId', 'shapes', 'positionShapeMap']),\r\n    ...mapState(useLangStore, ['languageInUse']),\r\n    techniqueNameTranslated(): string {\r\n      const position = this.printPositions?.find(\r\n        (p) => p.id === this.selectedPrintPosition.id\r\n      );\r\n      const technique = position?.printTechniques.find((technique) => {\r\n        return technique.id === this.selectedPrintPosition.techniqueId;\r\n      });\r\n      const techniqueName = technique?.printTechnique.nameTranslations.find(\r\n        ({ language }) => language.code === this.languageInUse\r\n      )?.text;\r\n      return techniqueName || this.selectedPrintPosition.techniqueName || '';\r\n    },\r\n  },\r\n  methods: {\r\n    log: console.log,\r\n    ...mapActions(useHistoryStore, ['recordHistory']),\r\n    ...mapActions(useProductStore, [\r\n      'deletePrintPosition',\r\n      'setPreviousManagedPrintPositionId',\r\n      'drawPoints',\r\n    ]),\r\n    ...mapActions(useColorsManagementStore, ['getAvailablePmsColors']),\r\n    ...mapActions(useMirrorStore, ['removePositionMirrorSettings']),\r\n\r\n    showConfirmDialog(id = '') {\r\n      this.deleteId = id;\r\n      this.yesNoDialog = true;\r\n    },\r\n    isDisabledForText(section: any) {\r\n      const activeArtworkPayload = this.shapes.find(\r\n        (shape) => shape.id === this.activeShapeId\r\n      );\r\n      return (\r\n        section.component === 'background-type-selection' &&\r\n        activeArtworkPayload === undefined\r\n      );\r\n    },\r\n\r\n    openModal(id = '') {\r\n      this.editId = id;\r\n      this.$modal.show('print-positions-modal');\r\n    },\r\n\r\n    proxyEvent(event: string, eventData: unknown): void {\r\n      console.groupEnd();\r\n      if (event === 'action:edit') {\r\n        this.setPreviousManagedPrintPositionId(eventData as string);\r\n        this.openModal(eventData as string | undefined);\r\n      }\r\n      if (event === 'action:delete') {\r\n        this.showConfirmDialog(eventData as string | undefined);\r\n      }\r\n      if (event === 'action:disable-pintura') {\r\n        this.$emit('pintura:disable');\r\n        this.isSidebarDisabled = true;\r\n      }\r\n      if (event === 'wizard:price-params-changed') {\r\n        // NOTE: Should emit for every wizards action that in respect changes the value of one of the event payloads fields\r\n        //  Wizard actions (what they change):\r\n        //    4. Upload new logo (width, height, printTechniqueSAPRangeCode, numberOfColors) x\r\n        //    7. Remove colour (numberOfColors) x\r\n\r\n        this.$emit('wizard:price-params-changed', eventData);\r\n      }\r\n      if (event === 'action:change-color') {\r\n        const event = eventData as ProductPrintPositionAddModel[];\r\n\r\n        this.$emit(\r\n          'action:change-color',\r\n          event,\r\n          event[0].positionId,\r\n          event[0].positionId\r\n        );\r\n      }\r\n\r\n      if (event === 'action:trigger-small-details') {\r\n        this.$emit('action:trigger-small-details');\r\n      }\r\n\r\n      if (event === 'action:update-is-concept') {\r\n        this.$emit('action:update-is-concept', eventData);\r\n      }\r\n\r\n      if (event === 'ruler:show-vertical') {\r\n        this.$emit('ruler:show-vertical', eventData as boolean);\r\n      }\r\n      if (event === 'ruler:show-horizontal') {\r\n        this.$emit('ruler:show-horizontal', eventData as boolean);\r\n      }\r\n    },\r\n\r\n    async onDeletePrintPosition(deleteId: string) {\r\n      await this.deletePrintPosition(deleteId);\r\n\r\n      this.removePositionMirrorSettings(deleteId);\r\n\r\n      const eventPayload = generateEventPayload();\r\n\r\n      this.$emit('wizard:price-params-changed', {\r\n        productPrintPositions: eventPayload,\r\n      });\r\n\r\n      await this.getAvailablePmsColors();\r\n\r\n      const snapshot = createStateSnapshot();\r\n      this.recordHistory(snapshot);\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PinturaSidebar.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PinturaSidebar.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./PinturaSidebar.vue?vue&type=template&id=073aee35&scoped=true\"\nimport script from \"./PinturaSidebar.vue?vue&type=script&lang=ts\"\nexport * from \"./PinturaSidebar.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./PinturaSidebar.vue?vue&type=style&index=0&id=073aee35&prod&lang=scss&scoped=true\")\nif (style0.__inject__) style0.__inject__(context)\nvar style1 = require(\"./PinturaSidebar.vue?vue&type=style&index=1&id=073aee35&prod&lang=scss\")\nif (style1.__inject__) style1.__inject__(context)\nvar style2 = require(\"./PinturaSidebar.vue?vue&type=style&index=2&id=073aee35&prod&lang=css\")\nif (style2.__inject__) style2.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  \"073aee35\",\n  null\n  ,true\n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return (_vm.pipeline)?_c('w2p-portal',{attrs:{\"to\":\"notifications\"}},[_vm._l((_vm.pipeline),function(notification){return [(notification.validatorName !== 'commercialRemark')?_c('pipeline-validation-notification',{key:`${notification.validatorName}-${notification.payloadId}`,staticClass:\"pipeline-notification\",attrs:{\"data\":notification}}):_c('commercial-remark-notification',{key:`${notification.validatorName}-${notification.message}`,staticClass:\"pipeline-notification\",attrs:{\"data\":notification,\"msg\":notification.message}})]})],2):_vm._e()\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return (_vm.isVisible && _vm.outcome !== 0)?_c('cv-toast-notification',{staticClass:\"pipeline-validation-notification\",attrs:{\"title\":_vm.$t(`validators.${_vm.type}`),\"sub-title\":_vm.data.fileName,\"caption\":_vm.$tc(`validators.${_vm.type}_MSG`, _vm.outcome, {\n      message: this.data.message,\n    }),\"kind\":_vm.kind,\"hide-close-button\":_vm.kind === 'error',\"low-contrast\":false},on:{\"close\":function($event){_vm.isVisible = false}}}):_vm._e()\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","export const validatorTypes = {\r\n  fileTypeValidator: 'FILE_TYPE_VALIDATOR',\r\n  resolutionValidator: 'RESOLUTION_VALIDATOR',\r\n  spotColorsValidator: 'SPOT_COLOURS_VALIDATOR',\r\n  maxNumberOfColoursValidator: 'MAXIMUM_NUMBER_OF_COLOURS',\r\n  collisionDetection: 'COLLISION_DETECTION',\r\n  vectorFileValidator: 'VECTOR_FILE_VALIDATOR',\r\n  smallDetails: 'SMALL_DETAILS_VALIDATOR',\r\n  commercialRemark: 'COMMERCIAL_REMARK',\r\n} as const;\r\n\r\nexport type vt = typeof validatorTypes;\r\nexport type ValidatorTypeType = keyof vt;\r\nexport type ValidatorValueType = vt[keyof vt];\r\n","\r\nimport Vue from 'vue';\r\n\r\nimport {\r\n  validatorTypes,\r\n  ValidatorValueType,\r\n} from '../../constants/validatorTypes';\r\n\r\nimport { CvToastNotification } from '@carbon/vue';\r\nimport { mapState } from 'pinia';\r\nimport { useStore as useProductStore } from '@/stores/product';\r\n\r\ntype ColorStatusType = 'success' | 'warning' | 'error';\r\ntype ErrorFlagType = 0 | 1;\r\n\r\nexport default Vue.extend({\r\n  components: {\r\n    CvToastNotification,\r\n  },\r\n\r\n  props: {\r\n    data: {\r\n      type: Object,\r\n      default: () => {\r\n        return {};\r\n      },\r\n    },\r\n  },\r\n\r\n  data() {\r\n    return {\r\n      isVisible: true,\r\n    };\r\n  },\r\n\r\n  computed: {\r\n    ...mapState(useProductStore, ['selectedPrintPosition']),\r\n    type(): ValidatorValueType {\r\n      return ((dict) => {\r\n        return (\r\n          dict[this.data.validatorName as keyof typeof dict] ||\r\n          this.data.validatorName\r\n        );\r\n      })({\r\n        fileTypeValidator: validatorTypes.fileTypeValidator,\r\n        resolutionValidator: validatorTypes.resolutionValidator,\r\n        spotColorsValidator: validatorTypes.spotColorsValidator,\r\n        maxNumberOfColoursValidator: validatorTypes.maxNumberOfColoursValidator,\r\n        vectorFileValidator: validatorTypes.vectorFileValidator,\r\n        commercialRemark: validatorTypes.commercialRemark,\r\n      });\r\n    },\r\n    outcome(): number {\r\n      if (this.data.validatorColor === 'Green') {\r\n        return 0;\r\n      }\r\n      if (this.data.validatorColor === 'Red') {\r\n        return 1;\r\n      }\r\n      return 2;\r\n    },\r\n\r\n    kind(): ColorStatusType {\r\n      return {\r\n        Green: 'success',\r\n        Orange: 'warning',\r\n        Red: 'error',\r\n      }[\r\n        this.data.validatorColor as 'Green' | 'Orange' | 'Red'\r\n      ] as ColorStatusType;\r\n    },\r\n\r\n    errorFlag(): ErrorFlagType {\r\n      return this.kind === 'error' ? 0 : 1;\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/ts-loader/index.js??ref--15-2!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PipelineValidationNotification.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/ts-loader/index.js??ref--15-2!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PipelineValidationNotification.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./PipelineValidationNotification.vue?vue&type=template&id=01b4becc\"\nimport script from \"./PipelineValidationNotification.vue?vue&type=script&lang=ts\"\nexport * from \"./PipelineValidationNotification.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./PipelineValidationNotification.vue?vue&type=style&index=0&id=01b4becc&prod&lang=scss\")\nif (style0.__inject__) style0.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  null,\n  null\n  ,true\n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return (_vm.isVisible && _vm.outcome !== 0)?_c('cv-toast-notification',{staticClass:\"pipeline-validation-notification\",attrs:{\"title\":_vm.$t('validators.COMMERCIAL_REMARK'),\"sub-title\":_vm.data.fileName,\"caption\":_vm.$t(_vm.msg),\"kind\":_vm.kind,\"low-contrast\":false},on:{\"close\":function($event){_vm.isVisible = false}}}):_vm._e()\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","\r\nimport Vue from 'vue';\r\n\r\nimport {\r\n  validatorTypes,\r\n  ValidatorValueType,\r\n} from '../../constants/validatorTypes';\r\n\r\nimport { CvToastNotification } from '@carbon/vue';\r\nimport { mapState } from 'pinia';\r\nimport { useStore as useProductStore } from '@/stores/product';\r\n\r\ntype ColorStatusType = 'success' | 'warning' | 'error';\r\ntype ErrorFlagType = 0 | 1;\r\n\r\nexport default Vue.extend({\r\n  components: {\r\n    CvToastNotification,\r\n  },\r\n\r\n  props: {\r\n    data: {\r\n      type: Object,\r\n      default: () => {\r\n        return {};\r\n      },\r\n    },\r\n    msg: {\r\n      type: String,\r\n      default: '',\r\n    },\r\n  },\r\n\r\n  data() {\r\n    return {\r\n      isVisible: true,\r\n    };\r\n  },\r\n\r\n  computed: {\r\n    ...mapState(useProductStore, ['selectedPrintPosition']),\r\n    type(): ValidatorValueType {\r\n      return ((dict) => {\r\n        return (\r\n          dict[this.data.validatorName as keyof typeof dict] ||\r\n          this.data.validatorName\r\n        );\r\n      })({\r\n        fileTypeValidator: validatorTypes.fileTypeValidator,\r\n        resolutionValidator: validatorTypes.resolutionValidator,\r\n        spotColorsValidator: validatorTypes.spotColorsValidator,\r\n        maxNumberOfColoursValidator: validatorTypes.maxNumberOfColoursValidator,\r\n        vectorFileValidator: validatorTypes.vectorFileValidator,\r\n        commercialRemark: validatorTypes.commercialRemark,\r\n      });\r\n    },\r\n    outcome(): number {\r\n      if (this.data.validatorColor === 'Green') {\r\n        return 0;\r\n      }\r\n      if (this.data.validatorColor === 'Red') {\r\n        return 1;\r\n      }\r\n      return 2;\r\n    },\r\n\r\n    kind(): ColorStatusType {\r\n      return {\r\n        Green: 'success',\r\n        Orange: 'warning',\r\n        Red: 'error',\r\n      }[\r\n        this.data.validatorColor as 'Green' | 'Orange' | 'Red'\r\n      ] as ColorStatusType;\r\n    },\r\n\r\n    errorFlag(): ErrorFlagType {\r\n      return this.kind === 'error' ? 0 : 1;\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/ts-loader/index.js??ref--15-2!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./CommercialRemarkNotification.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/ts-loader/index.js??ref--15-2!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./CommercialRemarkNotification.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./CommercialRemarkNotification.vue?vue&type=template&id=11556acc\"\nimport script from \"./CommercialRemarkNotification.vue?vue&type=script&lang=ts\"\nexport * from \"./CommercialRemarkNotification.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./CommercialRemarkNotification.vue?vue&type=style&index=0&id=11556acc&prod&lang=scss\")\nif (style0.__inject__) style0.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  null,\n  null\n  ,true\n)\n\nexport default component.exports","\r\nimport Vue from 'vue';\r\n\r\nimport { mapState } from 'pinia';\r\nimport { useStore as useProductStore } from '@/stores/product';\r\nimport { useStore as useNotificationStore } from '@/stores/notification';\r\nimport PipelineValidationNotification from './PipelineValidationNotification.vue';\r\nimport CommercialRemarkNotification from './CommercialRemarkNotification.vue';\r\nimport { PipelineNotificationType } from './typings/PipelineNotificationType';\r\n\r\nexport default Vue.extend({\r\n  name: 'PipelineValidationMonitor',\r\n\r\n  components: {\r\n    PipelineValidationNotification,\r\n    CommercialRemarkNotification,\r\n  },\r\n\r\n  computed: {\r\n    ...mapState(useProductStore, ['selectedPrintPosition']),\r\n    ...mapState(useNotificationStore, ['notificationsForBell']),\r\n\r\n    pipeline(): PipelineNotificationType[] {\r\n      return this.notificationsForBell.filter(\r\n        (x) =>\r\n          x.printPositionId === this.selectedPrintPosition.id &&\r\n          x.validatorName !== 'smallDetails' &&\r\n          x.validatorName !== 'outOfBoundaries' &&\r\n          (x.validatorColor === 'Red' || x.validatorColor === 'Orange')\r\n      );\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/ts-loader/index.js??ref--15-2!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PipelineValidationMonitor.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/ts-loader/index.js??ref--15-2!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PipelineValidationMonitor.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./PipelineValidationMonitor.vue?vue&type=template&id=04dc2324\"\nimport script from \"./PipelineValidationMonitor.vue?vue&type=script&lang=ts\"\nexport * from \"./PipelineValidationMonitor.vue?vue&type=script&lang=ts\"\n\n\n/* normalize component */\nimport normalizer from \"!../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  null,\n  null,\n  null\n  ,true\n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return (_vm.collides)?_c('w2p-portal',{attrs:{\"to\":\"notifications\"}},[_c('out-of-boundaries-notification',{staticClass:\"out-of-boundaries-notification\",attrs:{\"collision-data\":_vm.collides}})],1):_vm._e()\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('cv-toast-notification',{directives:[{name:\"show\",rawName:\"v-show\",value:(_vm.collisionData.data),expression:\"collisionData.data\"}],attrs:{\"title\":_vm.$t(`validators.${_vm.type}`),\"sub-title\":'',\"caption\":_vm.$t('section.errors.out-of-printable-boundries') + ': ' + _vm.artworksNames,\"kind\":'error',\"low-contrast\":false,\"hide-close-button\":true}})\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","\r\nimport Vue, { PropType } from 'vue';\r\n\r\nimport {\r\n  validatorTypes,\r\n  ValidatorValueType,\r\n} from '../../constants/validatorTypes';\r\nimport { mapState } from 'pinia';\r\nimport { useStore as useShapeStore } from '@/stores/shape';\r\nimport { CvToastNotification } from '@carbon/vue';\r\n\r\nexport default Vue.extend({\r\n  name: 'OutOfBoundariesNotification',\r\n  components: {\r\n    CvToastNotification,\r\n  },\r\n  props: {\r\n    collisionData: {\r\n      type: Object as PropType<{\r\n        data: boolean | undefined;\r\n        payloadIds: string[];\r\n      }>,\r\n      required: true,\r\n    },\r\n  },\r\n  computed: {\r\n    ...mapState(useShapeStore, ['shapes']),\r\n    type(): ValidatorValueType {\r\n      return validatorTypes.collisionDetection;\r\n    },\r\n    artworksNames(): string {\r\n      const result = [] as string[];\r\n      this.collisionData.payloadIds.forEach((id) => {\r\n        const shape = this.shapes.find((s) => s.id === id);\r\n        const name = shape && shape.kind === 'Logo' ? shape.title : 'text';\r\n        result.push(name);\r\n      });\r\n\r\n      return result.join(', ');\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/ts-loader/index.js??ref--15-2!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./OutOfBoundariesNotification.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/ts-loader/index.js??ref--15-2!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./OutOfBoundariesNotification.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./OutOfBoundariesNotification.vue?vue&type=template&id=6219c6ac\"\nimport script from \"./OutOfBoundariesNotification.vue?vue&type=script&lang=ts\"\nexport * from \"./OutOfBoundariesNotification.vue?vue&type=script&lang=ts\"\n\n\n/* normalize component */\nimport normalizer from \"!../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  null,\n  null,\n  null\n  ,true\n)\n\nexport default component.exports","\r\nimport Vue from 'vue';\r\n\r\nimport { mapState } from 'pinia';\r\nimport { useStore as useShapeStore } from '@/stores/shape';\r\nimport { useStore as useProductStore } from '@/stores/product';\r\n\r\nimport OutOfBoundariesNotification from './OutOfBoundariesNotification.vue';\r\n\r\nexport default Vue.extend({\r\n  name: 'OutOfBoundariesMonitor',\r\n\r\n  components: {\r\n    OutOfBoundariesNotification,\r\n  },\r\n\r\n  computed: {\r\n    ...mapState(useShapeStore, ['collisionDetails', 'positionShapeMap']),\r\n    ...mapState(useProductStore, ['selectedPrintPosition']),\r\n\r\n    collides() {\r\n      const collisionData = {\r\n        data: false as boolean | undefined,\r\n        payloadIds: [] as string[],\r\n      };\r\n      collisionData.data =\r\n        this.collisionDetails &&\r\n        !this.collisionDetails.every((c) => c.aInB === true);\r\n\r\n      this.collisionDetails?.forEach((c) => {\r\n        if (c.aInB === false) {\r\n          collisionData.payloadIds.push(c.payloadId);\r\n        }\r\n      });\r\n      return collisionData;\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/ts-loader/index.js??ref--15-2!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./OutOfBoundariesMonitor.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/ts-loader/index.js??ref--15-2!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./OutOfBoundariesMonitor.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./OutOfBoundariesMonitor.vue?vue&type=template&id=11d4965a\"\nimport script from \"./OutOfBoundariesMonitor.vue?vue&type=script&lang=ts\"\nexport * from \"./OutOfBoundariesMonitor.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  \n}\n\n/* normalize component */\nimport normalizer from \"!../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  null,\n  null\n  ,true\n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return (_vm.pipeline)?_c('div',[_vm._l((_vm.pipeline),function(notification,index){return [_c('bell-notification',{key:`${notification.validatorName}-${notification.payloadId}-${index}`,attrs:{\"data\":notification}})]})],2):_vm._e()\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('div',{staticClass:\"notification-div\"},[_c('div',{staticClass:\"header-div\"},[_c('div',{staticClass:\"position-name-div\"},[_vm._v(\" \"+_vm._s(_vm.$t(`validators.FROM`))+\" \"+_vm._s(_vm.data.printPosition)+\" \"+_vm._s(_vm.$tc(`validators.OUTCOME_MSG`, _vm.outcome))+\" \")]),(_vm.data.validatorColor === 'Red')?_c('div',[_c('error-filled',{style:({ color: 'red' })})],1):_vm._e(),(_vm.data.validatorColor === 'Green')?_c('div',[_c('checkmark-filled',{style:({ color: 'green' })})],1):_vm._e(),(_vm.data.validatorColor === 'Orange')?_c('div',[_c('warning-filled',{style:({ color: 'orange' })})],1):_vm._e()]),_c('div',{staticClass:\"header-name\"},[_vm._v(\" \"+_vm._s(_vm.$t(`validators.${_vm.type}`))+\" \"),_c('div',{staticClass:\"message-div\"},[_vm._v(\" \"+_vm._s(_vm.data.fileName)+\" \")]),(_vm.type !== 'COMMERCIAL_REMARK')?_c('div',{staticClass:\"message-div\"},[_vm._v(\" \"+_vm._s(_vm.$tc(`validators.${_vm.type}_MSG`, _vm.outcome, { status: _vm.data.validatorColor, }))+\" \")]):_c('div',{staticClass:\"message-div\"},[_vm._v(\" \"+_vm._s(_vm.$t(_vm.data.message || ''))+\" \")])])])\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","/**\n * Copyright IBM Corp. 2019, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nimport { c as createSVGComponent } from '../utils-9450cd75.js';\nimport '@carbon/icon-helpers';\nimport 'vue';\n\nconst ErrorFilled20 = createSVGComponent('ErrorFilled20', {\n  \"xmlns\": \"http://www.w3.org/2000/svg\",\n  \"viewBox\": \"0 0 20 20\",\n  \"fill\": \"currentColor\",\n  \"width\": 20,\n  \"height\": 20\n}, [{\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M10,1c-5,0-9,4-9,9s4,9,9,9s9-4,9-9S15,1,10,1z M13.5,14.5l-8-8l1-1l8,8L13.5,14.5z\"\n  }\n}, {\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M13.5,14.5l-8-8l1-1l8,8L13.5,14.5z\",\n    \"data-icon-path\": \"inner-path\",\n    \"opacity\": \"0\"\n  }\n}]);\n\nexport { ErrorFilled20 as default };\n","/**\n * Copyright IBM Corp. 2019, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nimport { c as createSVGComponent } from '../utils-9450cd75.js';\nimport '@carbon/icon-helpers';\nimport 'vue';\n\nconst CheckmarkFilled20 = createSVGComponent('CheckmarkFilled20', {\n  \"xmlns\": \"http://www.w3.org/2000/svg\",\n  \"viewBox\": \"0 0 20 20\",\n  \"fill\": \"currentColor\",\n  \"width\": 20,\n  \"height\": 20\n}, [{\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M10,1c-4.9,0-9,4.1-9,9s4.1,9,9,9s9-4,9-9S15,1,10,1z M8.7,13.5l-3.2-3.2l1-1l2.2,2.2l4.8-4.8l1,1L8.7,13.5z\"\n  }\n}, {\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"fill\": \"none\",\n    \"d\": \"M8.7,13.5l-3.2-3.2l1-1l2.2,2.2l4.8-4.8l1,1L8.7,13.5z\",\n    \"data-icon-path\": \"inner-path\",\n    \"opacity\": \"0\"\n  }\n}]);\n\nexport { CheckmarkFilled20 as default };\n","/**\n * Copyright IBM Corp. 2019, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nimport { c as createSVGComponent } from '../utils-9450cd75.js';\nimport '@carbon/icon-helpers';\nimport 'vue';\n\nconst WarningFilled20 = createSVGComponent('WarningFilled20', {\n  \"xmlns\": \"http://www.w3.org/2000/svg\",\n  \"viewBox\": \"0 0 20 20\",\n  \"fill\": \"currentColor\",\n  \"width\": 20,\n  \"height\": 20\n}, [{\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M10,1c-5,0-9,4-9,9s4,9,9,9s9-4,9-9S15,1,10,1z M9.2,5h1.5v7H9.2V5z M10,16c-0.6,0-1-0.4-1-1s0.4-1,1-1\\ts1,0.4,1,1S10.6,16,10,16z\"\n  }\n}, {\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M9.2,5h1.5v7H9.2V5z M10,16c-0.6,0-1-0.4-1-1s0.4-1,1-1s1,0.4,1,1S10.6,16,10,16z\",\n    \"data-icon-path\": \"inner-path\",\n    \"opacity\": \"0\"\n  }\n}]);\n\nexport { WarningFilled20 as default };\n","\r\nimport Vue, { PropType } from 'vue';\r\n\r\nimport ErrorFilled from '@carbon/icons-vue/es/error--filled/20';\r\nimport CheckmarkFilled from '@carbon/icons-vue/es/checkmark--filled/20';\r\nimport WarningFilled from '@carbon/icons-vue/es/warning--filled/20';\r\nimport { PipelineNotificationType } from '../typings/PipelineNotificationType';\r\nimport { validatorTypes, ValidatorValueType } from '@/constants/validatorTypes';\r\nimport { mapState } from 'pinia';\r\nimport { useStore as useProductStore } from '@/stores/product';\r\n\r\nexport default Vue.extend({\r\n  name: 'BellNotification',\r\n  components: {\r\n    ErrorFilled,\r\n    CheckmarkFilled,\r\n    WarningFilled,\r\n  },\r\n  props: {\r\n    data: {\r\n      type: Object as PropType<PipelineNotificationType>,\r\n    },\r\n  },\r\n  computed: {\r\n    ...mapState(useProductStore, [\r\n      'printPositions',\r\n      'unavailablePrintPositions',\r\n    ]),\r\n    type(): ValidatorValueType {\r\n      return ((dict) => {\r\n        return (\r\n          dict[this.data.validatorName as keyof typeof dict] ||\r\n          this.data.validatorName\r\n        );\r\n      })({\r\n        fileTypeValidator: validatorTypes.fileTypeValidator,\r\n        resolutionValidator: validatorTypes.resolutionValidator,\r\n        spotColorsValidator: validatorTypes.spotColorsValidator,\r\n        maxNumberOfColoursValidator: validatorTypes.maxNumberOfColoursValidator,\r\n        outOfBoundaries: validatorTypes.collisionDetection,\r\n        smallDetails: validatorTypes.smallDetails,\r\n        commercialRemark: validatorTypes.commercialRemark,\r\n      });\r\n    },\r\n    outcome(): number {\r\n      if (this.data.validatorColor === 'Green') {\r\n        return 0;\r\n      }\r\n      if (this.data.validatorColor === 'Red') {\r\n        return 1;\r\n      }\r\n      return 2;\r\n    },\r\n  },\r\n  methods: {\r\n    maxNumberOfColours(positionId: string): number {\r\n      const position = this.printPositions.find((p) => p.id === positionId);\r\n      const positionModel = this.unavailablePrintPositions.find(\r\n        (p) => p.positionId === positionId\r\n      );\r\n      const maxNumOfColors = position?.printTechniques.find((technique) => {\r\n        return technique.id === positionModel?.technique.id;\r\n      })?.maximumColours;\r\n      return maxNumOfColors as number;\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../node_modules/babel-loader/lib/index.js!../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./BellNotification.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../node_modules/babel-loader/lib/index.js!../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./BellNotification.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./BellNotification.vue?vue&type=template&id=65ffcee7&scoped=true\"\nimport script from \"./BellNotification.vue?vue&type=script&lang=ts\"\nexport * from \"./BellNotification.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./BellNotification.vue?vue&type=style&index=0&id=65ffcee7&prod&lang=scss&scoped=true\")\nif (style0.__inject__) style0.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  \"65ffcee7\",\n  null\n  ,true\n)\n\nexport default component.exports","\r\nimport Vue, { PropType } from 'vue';\r\nimport { PipelineNotificationType } from '../typings/PipelineNotificationType';\r\nimport BellNotification from './BellNotification.vue';\r\nexport default Vue.extend({\r\n  name: 'BellNotificationMonitor',\r\n  components: {\r\n    BellNotification,\r\n  },\r\n  props: {\r\n    notifications: {\r\n      type: [] as PropType<PipelineNotificationType[]>,\r\n    },\r\n  },\r\n  computed: {\r\n    pipeline(): PipelineNotificationType[] {\r\n      return this.notifications;\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../node_modules/babel-loader/lib/index.js!../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./BellNotificationMonitor.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../node_modules/babel-loader/lib/index.js!../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./BellNotificationMonitor.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./BellNotificationMonitor.vue?vue&type=template&id=78c7afdc\"\nimport script from \"./BellNotificationMonitor.vue?vue&type=script&lang=ts\"\nexport * from \"./BellNotificationMonitor.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  \n}\n\n/* normalize component */\nimport normalizer from \"!../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  null,\n  null\n  ,true\n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('w2p-portal',{attrs:{\"to\":\"notifications\"}},[_c('product-not-printable-notification',{staticClass:\"product-not-printable-notification\",attrs:{\"data\":_vm.productIsPrintable}})],1)\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('cv-toast-notification',{directives:[{name:\"show\",rawName:\"v-show\",value:(_vm.isProductPrintable === false),expression:\"isProductPrintable === false\"}],attrs:{\"title\":_vm.$t('section.errors.product-not-printable-title'),\"sub-title\":`${_vm.$t('section.errors.product-not-printable-sub-title')} ${\n    _vm.data.productName\n  }`,\"caption\":_vm.$t('section.errors.product-not-printable-caption'),\"kind\":'error',\"low-contrast\":false,\"hide-close-button\":true}})\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","\r\nimport Vue from 'vue';\r\n\r\nimport { CvToastNotification } from '@carbon/vue';\r\n\r\nimport { mapState } from 'pinia';\r\nimport { useStore as useProductStore } from '@/stores/product';\r\n\r\nexport default Vue.extend({\r\n  name: 'ProductNotPrintableNotification',\r\n  components: {\r\n    CvToastNotification,\r\n  },\r\n  props: {\r\n    data: {\r\n      type: Object,\r\n      required: true,\r\n    },\r\n  },\r\n\r\n  computed: {\r\n    ...mapState(useProductStore, ['isProductPrintable']),\r\n  },\r\n});\r\n","import mod from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/ts-loader/index.js??ref--15-2!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./ProductNotPrintableNotification.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/ts-loader/index.js??ref--15-2!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./ProductNotPrintableNotification.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./ProductNotPrintableNotification.vue?vue&type=template&id=877bf2ee\"\nimport script from \"./ProductNotPrintableNotification.vue?vue&type=script&lang=ts\"\nexport * from \"./ProductNotPrintableNotification.vue?vue&type=script&lang=ts\"\n\n\n/* normalize component */\nimport normalizer from \"!../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  null,\n  null,\n  null\n  ,true\n)\n\nexport default component.exports","\r\nimport Vue from 'vue';\r\n\r\nimport { mapState, mapActions } from 'pinia';\r\nimport { useStore as useProductStore } from '@/stores/product';\r\n\r\nimport ProductNotPrintableNotification from './ProductNotPrintableNotification.vue';\r\n\r\nexport default Vue.extend({\r\n  name: 'ProductNotPrintableMonitor',\r\n\r\n  components: { ProductNotPrintableNotification },\r\n\r\n  computed: {\r\n    ...mapState(useProductStore, ['data', 'isProductPrintable']),\r\n\r\n    productIsPrintable() {\r\n      const { name, readyToPrint } = this.data;\r\n\r\n      this.setIsProductPrintable(readyToPrint);\r\n\r\n      return {\r\n        productName: name,\r\n      };\r\n    },\r\n  },\r\n\r\n  methods: {\r\n    ...mapActions(useProductStore, ['setIsProductPrintable']),\r\n  },\r\n});\r\n","import mod from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/ts-loader/index.js??ref--15-2!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./ProductNotPrintableMonitor.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/ts-loader/index.js??ref--15-2!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./ProductNotPrintableMonitor.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./ProductNotPrintableMonitor.vue?vue&type=template&id=51da80a5\"\nimport script from \"./ProductNotPrintableMonitor.vue?vue&type=script&lang=ts\"\nexport * from \"./ProductNotPrintableMonitor.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  \n}\n\n/* normalize component */\nimport normalizer from \"!../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  null,\n  null\n  ,true\n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return (_vm.notifications)?_c('w2p-portal',{attrs:{\"to\":\"notifications\"}},[_vm._l((_vm.notifications),function(notification){return [_c('small-details-notification',{key:`${notification.validatorName}-${notification.payloadId}`,staticClass:\"pipeline-notification\",attrs:{\"data\":notification}})]})],2):_vm._e()\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return (_vm.isVisible)?_c('cv-toast-notification',{staticClass:\"small-details-notification\",attrs:{\"title\":_vm.$t(`small-details.header.bad`),\"sub-title\":_vm.data.fileName,\"caption\":_vm.$tc(`validators.SMALL_DETAILS_VALIDATOR_MSG`, 1, {\n      status: _vm.validatorColorTranslation(),\n    }),\"kind\":_vm.kind,\"hide-close-button\":_vm.kind === 'error',\"low-contrast\":false},on:{\"close\":function($event){_vm.isVisible = false}}}):_vm._e()\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","\r\nimport Vue from 'vue';\r\n\r\nimport { CvToastNotification } from '@carbon/vue';\r\n\r\ntype ColorStatusType = 'success' | 'warning' | 'error';\r\n\r\nexport default Vue.extend({\r\n  name: 'SmallDetailsNotification',\r\n  components: {\r\n    CvToastNotification,\r\n  },\r\n\r\n  props: {\r\n    data: {\r\n      type: Object,\r\n      default: () => {\r\n        return {};\r\n      },\r\n    },\r\n  },\r\n\r\n  data() {\r\n    return {\r\n      isVisible: this.data && this.data.validatorColor !== 'Green',\r\n    };\r\n  },\r\n\r\n  computed: {\r\n    kind(): ColorStatusType {\r\n      return {\r\n        Green: 'success',\r\n        Orange: 'warning',\r\n        Red: 'error',\r\n      }[\r\n        this.data.validatorColor as 'Green' | 'Orange' | 'Red'\r\n      ] as ColorStatusType;\r\n    },\r\n  },\r\n\r\n  watch: {\r\n    data() {\r\n      this.isVisible = this.data && this.data.validatorColor !== 'Green';\r\n    },\r\n  },\r\n\r\n  methods: {\r\n    validatorColorTranslation() {\r\n      if (this.data.validatorColor === 'Orange') {\r\n        return this.$t('small-details.status.orange');\r\n      } else if (this.data.validatorColor === 'Red') {\r\n        return this.$t('small-details.status.red');\r\n      } else {\r\n        return this.$t('small-details.status.green');\r\n      }\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/ts-loader/index.js??ref--15-2!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./SmallDetailsNotification.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/ts-loader/index.js??ref--15-2!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./SmallDetailsNotification.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./SmallDetailsNotification.vue?vue&type=template&id=394c9f23\"\nimport script from \"./SmallDetailsNotification.vue?vue&type=script&lang=ts\"\nexport * from \"./SmallDetailsNotification.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./SmallDetailsNotification.vue?vue&type=style&index=0&id=394c9f23&prod&lang=scss\")\nif (style0.__inject__) style0.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  null,\n  null\n  ,true\n)\n\nexport default component.exports","\r\nimport Vue from 'vue';\r\n\r\nimport { mapState } from 'pinia';\r\nimport { useStore as useNotificationStore } from '@/stores/notification';\r\nimport { useStore as useProductStore } from '@/stores/product';\r\nimport SmallDetailsNotification from './SmallDetailsNotification.vue';\r\n\r\nexport default Vue.extend({\r\n  name: 'SmallDetailsMonitor',\r\n\r\n  components: {\r\n    SmallDetailsNotification,\r\n  },\r\n\r\n  computed: {\r\n    ...mapState(useNotificationStore, ['notificationsForBell']),\r\n    ...mapState(useProductStore, ['selectedPrintPosition']),\r\n    notifications() {\r\n      // Remove creating unique notification list, after issue with duplicating text's notification is resolved\r\n      const allNotifications = this.notificationsForBell.filter(\r\n        (x) =>\r\n          x.validatorName === 'smallDetails' &&\r\n          x.printPositionId === this.selectedPrintPosition.id\r\n      );\r\n      return [\r\n        ...new Map(allNotifications.map((x) => [x['payloadId'], x])).values(),\r\n      ];\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/ts-loader/index.js??ref--15-2!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./SmallDetailsMonitor.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/ts-loader/index.js??ref--15-2!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./SmallDetailsMonitor.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./SmallDetailsMonitor.vue?vue&type=template&id=b5d22688\"\nimport script from \"./SmallDetailsMonitor.vue?vue&type=script&lang=ts\"\nexport * from \"./SmallDetailsMonitor.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  \n}\n\n/* normalize component */\nimport normalizer from \"!../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  null,\n  null\n  ,true\n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('div',[_c('pipeline-validation-monitor'),_c('out-of-boundaries-monitor'),_c('product-not-printable-monitor'),_c('small-details-monitor')],1)\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","\r\nimport Vue from 'vue';\r\n\r\nimport {\r\n  PipelineValidationMonitor,\r\n  OutOfBoundariesMonitor,\r\n  ProductNotPrintableMonitor,\r\n  SmallDetailsMonitor,\r\n} from './index';\r\n\r\n// import SmallDetailsMonitor from './SmallDetailsMonitor.vue';\r\n\r\nexport default Vue.extend({\r\n  name: 'SystemMonitor',\r\n  components: {\r\n    PipelineValidationMonitor,\r\n    OutOfBoundariesMonitor,\r\n    ProductNotPrintableMonitor,\r\n    SmallDetailsMonitor,\r\n  },\r\n});\r\n","import mod from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/ts-loader/index.js??ref--15-2!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./SystemMonitor.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/ts-loader/index.js??ref--15-2!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./SystemMonitor.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./SystemMonitor.vue?vue&type=template&id=3a7c6491\"\nimport script from \"./SystemMonitor.vue?vue&type=script&lang=ts\"\nexport * from \"./SystemMonitor.vue?vue&type=script&lang=ts\"\n\n\n/* normalize component */\nimport normalizer from \"!../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  null,\n  null,\n  null\n  ,true\n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('the-app',{attrs:{\"product-variants\":_vm.filteredVariants}})\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return (_vm.productVariants[0])?_c('div',{staticClass:\"switch-color-component\"},[_c('div',[_c('div',{staticClass:\"title-switch-color\"},[_vm._v(_vm._s(_vm.$t('header.preview-colors')))]),(_vm.productVariants[0].productName !== '')?_c('vue-slick-carousel',{attrs:{\"arrows\":true,\"dots\":false,\"slides-to-show\":4},scopedSlots:_vm._u([{key:\"prevArrow\",fn:function(){return [_c('div',{staticClass:\"custom-arrow\"},[_c('chevron-left-32')],1)]},proxy:true},{key:\"nextArrow\",fn:function(){return [_c('div',{staticClass:\"custom-arrow\"},[_c('chevron-right-32')],1)]},proxy:true}],null,false,210786404)},_vm._l((_vm.productVariants),function(variant){return _c('div',{key:variant.productName,staticClass:\"filtered-variants\"},[_c('div',{directives:[{name:\"show\",rawName:\"v-show\",value:(\n            _vm.productName === variant.productName ||\n            (variant.productName === _vm.productVariants[0].productName &&\n              _vm.productName === '')\n          ),expression:\"\\n            productName === variant.productName ||\\n            (variant.productName === productVariants[0].productName &&\\n              productName === '')\\n          \"}],staticClass:\"Oval-checkmark\",style:(_vm.styleOvalCheckBox(variant)),attrs:{\"id\":`${variant.productName}-checkmark`},on:{\"click\":function($event){return _vm.changeProductVariantImg(variant)}}},[_c('checkmark',{staticClass:\"checkmark\"})],1),_c('div',{directives:[{name:\"show\",rawName:\"v-show\",value:(\n            variant.productName === _vm.productVariants[0].productName &&\n            _vm.productName === ''\n              ? false\n              : _vm.productName !== variant.productName\n          ),expression:\"\\n            variant.productName === productVariants[0].productName &&\\n            productName === ''\\n              ? false\\n              : productName !== variant.productName\\n          \"}],staticClass:\"Oval-checkmark\",style:(_vm.styleOval(variant)),attrs:{\"id\":`${variant.productName}-no-checkmark`},on:{\"click\":function($event){return _vm.changeProductVariantImg(variant)}}})])}),0):_vm._e()],1)]):_vm._e()\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","\r\nimport Vue, { PropType } from 'vue';\r\nimport { mapActions, mapState } from 'pinia';\r\nimport { useStore as useProductStore } from '@/stores/product';\r\nimport { useStore as useShapeStore } from '@/stores/shape';\r\nimport VModal from 'vue-js-modal';\r\nimport Checkmark from '@carbon/icons-vue/es/checkmark/16';\r\n// import { ProductVariant } from '@/typings/ProductPrintData';\r\nimport { ProductColorSetterType } from '@/setters/typings/common/ProductColorsSetterType';\r\nimport VueSlickCarousel from 'vue-slick-carousel';\r\nimport { ProductPrintVariant } from '@midocean/webapps-shared-domain';\r\n\r\nimport ChevronLeft32 from '@carbon/icons-vue/es/chevron--left/32';\r\nimport ChevronRight32 from '@carbon/icons-vue/es/chevron--right/32';\r\n\r\nVue.use(VModal, {\r\n  dynamic: true,\r\n  injectModalsContainer: true,\r\n});\r\n\r\nexport default Vue.extend({\r\n  name: 'SwitchColor',\r\n  components: {\r\n    Checkmark,\r\n    VueSlickCarousel,\r\n    ChevronLeft32,\r\n    ChevronRight32,\r\n  },\r\n\r\n  props: {\r\n    productVariants: {\r\n      type: [] as PropType<ProductColorSetterType[]>,\r\n      required: true,\r\n    },\r\n  },\r\n\r\n  data() {\r\n    return {\r\n      productName: '',\r\n    };\r\n  },\r\n\r\n  computed: {\r\n    ...mapState(useProductStore, [\r\n      'data',\r\n      'isLaserConverter',\r\n      'isDebossingTechnique',\r\n      'isSublimationTechnique',\r\n      'getDebossingColor',\r\n    ]),\r\n  },\r\n\r\n  methods: {\r\n    ...mapActions(useProductStore, ['setSelectedVariant']),\r\n    ...mapActions(useShapeStore, [\r\n      'reinitializeShapeVariantImage',\r\n      'convertToBlob',\r\n    ]),\r\n\r\n    styleOval(variant: ProductColorSetterType): any {\r\n      return {\r\n        backgroundColor: variant.colorHex,\r\n        outline: '1px solid #f4f4f4',\r\n        border: '5px solid #f4f4f4',\r\n        marginTop: '5px',\r\n        marginLeft: '3px',\r\n        marginRight: '3px',\r\n      };\r\n    },\r\n    styleOvalCheckBox(variant: ProductColorSetterType): any {\r\n      return {\r\n        backgroundColor: variant.colorHex,\r\n        outline: '1px solid #c6c6c6',\r\n        border: '5px solid #f4f4f4',\r\n        margin: '5px',\r\n      };\r\n    },\r\n    changeProductVariantImg(variant: ProductColorSetterType) {\r\n      this.productName = variant.productName;\r\n      let selectedVariant = this.data.variants.find(\r\n        (varImg) => varImg.colour == variant.variantColor\r\n      ) as ProductPrintVariant;\r\n\r\n      this.setSelectedVariant(selectedVariant);\r\n\r\n      if (\r\n        this.isLaserConverter() ||\r\n        this.isDebossingTechnique() ||\r\n        this.isSublimationTechnique\r\n      ) {\r\n        let textColor = [255, 255, 255];\r\n        if (this.isDebossingTechnique()) {\r\n          textColor = this.getDebossingColor;\r\n        }\r\n        this.reinitializeShapeVariantImage(selectedVariant, textColor);\r\n      }\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/ts-loader/index.js??ref--15-2!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./TheApp.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/ts-loader/index.js??ref--15-2!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./TheApp.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./TheApp.vue?vue&type=template&id=652d4abc\"\nimport script from \"./TheApp.vue?vue&type=script&lang=ts\"\nexport * from \"./TheApp.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./TheApp.vue?vue&type=style&index=0&id=652d4abc&prod&lang=scss\")\nif (style0.__inject__) style0.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  null,\n  null\n  ,true\n)\n\nexport default component.exports","\r\nimport Vue, { PropType } from 'vue';\r\nimport TheApp from './TheApp.vue';\r\nimport { ProductColorSetterType } from '@/setters/typings/common/ProductColorsSetterType';\r\n\r\nexport default Vue.extend({\r\n  name: 'SwitchColor',\r\n  components: { TheApp },\r\n\r\n  props: {\r\n    productVariants: {\r\n      type: [] as PropType<ProductColorSetterType[]>,\r\n      required: true,\r\n    },\r\n  },\r\n  computed: {\r\n    filteredVariants(): ProductColorSetterType[] {\r\n      let filteredVariants: ProductColorSetterType[] = [];\r\n      if (this.productVariants) {\r\n        this.productVariants.map((variant: ProductColorSetterType) => {\r\n          if (filteredVariants.length === 0) {\r\n            filteredVariants.push(variant);\r\n          }\r\n\r\n          let checkExistingVariant = filteredVariants.find((filtered) => {\r\n            return filtered.colorHex === variant.colorHex;\r\n          });\r\n          if (!checkExistingVariant) {\r\n            filteredVariants.push(variant);\r\n          }\r\n        });\r\n      }\r\n      return filteredVariants;\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/ts-loader/index.js??ref--15-2!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./SwitchColor.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/ts-loader/index.js??ref--15-2!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./SwitchColor.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./SwitchColor.vue?vue&type=template&id=edf503e6\"\nimport script from \"./SwitchColor.vue?vue&type=script&lang=ts\"\nexport * from \"./SwitchColor.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  \n}\n\n/* normalize component */\nimport normalizer from \"!../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  null,\n  null\n  ,true\n)\n\nexport default component.exports","import { STROKE_COLOR_PASSIVE } from '@/web-components/import-wizard-v2/constants';\r\nimport { v4 as uuidv4 } from 'uuid';\r\n\r\nexport function drawPanelLines(\r\n  printPositionHeight: number,\r\n  xPositionOfDottedLine: number\r\n) {\r\n  const lines = [];\r\n  let space = 0;\r\n\r\n  lines.push({\r\n    x1: xPositionOfDottedLine,\r\n    y1: 0,\r\n    x2: xPositionOfDottedLine,\r\n    y2: 20,\r\n    strokeColor: [1, 0, 0],\r\n  });\r\n\r\n  for (let index = 1; space < printPositionHeight; index++) {\r\n    if (index % 2 === 0) {\r\n      lines.push({\r\n        x1: xPositionOfDottedLine,\r\n        y1: space + 20,\r\n        x2: xPositionOfDottedLine,\r\n        y2: space + 40,\r\n        strokeColor: [1, 0, 0],\r\n      });\r\n    } else {\r\n      lines.push({\r\n        x1: xPositionOfDottedLine,\r\n        y1: space + 20,\r\n        x2: xPositionOfDottedLine,\r\n        y2: space + 40,\r\n        strokeColor: [0, 0, 0, 0],\r\n      });\r\n    }\r\n    space = space + 20;\r\n  }\r\n\r\n  return lines;\r\n}\r\n\r\nexport function generateTargetCoordinates(\r\n  panelsPositions: number[],\r\n  index: number,\r\n  height: number,\r\n  y: number\r\n) {\r\n  const strokeColor = STROKE_COLOR_PASSIVE;\r\n  return [\r\n    {\r\n      id: uuidv4(),\r\n      x1:\r\n        panelsPositions[index] +\r\n        (panelsPositions[index + 1] - panelsPositions[index]) / 2,\r\n      y1: y + height / 5,\r\n      x2:\r\n        panelsPositions[index] +\r\n        (panelsPositions[index + 1] - panelsPositions[index]) / 2,\r\n      y2: y + height - height / 5,\r\n      isInteractive: true,\r\n      strokeColor,\r\n      strokeWidth: 2,\r\n      panelNo: index + 1,\r\n    },\r\n    {\r\n      id: uuidv4(),\r\n      x1:\r\n        panelsPositions[index] -\r\n        20 +\r\n        (panelsPositions[index + 1] - panelsPositions[index]) / 2,\r\n      y1: y + height / 2 - 20,\r\n      x2:\r\n        panelsPositions[index] +\r\n        20 +\r\n        (panelsPositions[index + 1] - panelsPositions[index]) / 2,\r\n      y2: y + height / 2 + 20,\r\n      isInteractive: false,\r\n      strokeColor,\r\n      strokeWidth: 2,\r\n      panelNo: index + 1,\r\n    },\r\n    {\r\n      id: uuidv4(),\r\n      x1:\r\n        panelsPositions[index] +\r\n        (panelsPositions[index + 1] - panelsPositions[index]) / 4 +\r\n        (panelsPositions[index + 1] - panelsPositions[index]) / 2,\r\n      y1: y + height / 2,\r\n      x2:\r\n        panelsPositions[index] -\r\n        (panelsPositions[index + 1] - panelsPositions[index]) / 4 +\r\n        (panelsPositions[index + 1] - panelsPositions[index]) / 2,\r\n      y2: y + height / 2,\r\n      isInteractive: true,\r\n      strokeColor,\r\n      strokeWidth: 2,\r\n      panelNo: index + 1,\r\n    },\r\n    {\r\n      id: uuidv4(),\r\n      x1:\r\n        panelsPositions[index] +\r\n        20 +\r\n        (panelsPositions[index + 1] - panelsPositions[index]) / 2,\r\n      y1: y + height / 2 - 20,\r\n      x2:\r\n        panelsPositions[index] -\r\n        20 +\r\n        (panelsPositions[index + 1] - panelsPositions[index]) / 2,\r\n      y2: y + height / 2 + 20,\r\n      isInteractive: false,\r\n      strokeColor,\r\n      strokeWidth: 2,\r\n      panelNo: index + 1,\r\n    },\r\n    {\r\n      id: uuidv4(),\r\n      x1:\r\n        panelsPositions[index] +\r\n        20 +\r\n        (panelsPositions[index + 1] - panelsPositions[index]) / 2,\r\n      y1: y + height / 2 - 20,\r\n      x2:\r\n        panelsPositions[index] -\r\n        20 +\r\n        (panelsPositions[index + 1] - panelsPositions[index]) / 2,\r\n      y2: y + height / 2 + 20,\r\n      isInteractive: false,\r\n      strokeColor,\r\n      strokeWidth: 2,\r\n      panelNo: index + 1,\r\n    },\r\n    {\r\n      id: uuidv4(),\r\n      x:\r\n        panelsPositions[index] +\r\n        (panelsPositions[index + 1] - panelsPositions[index]) / 2,\r\n      y: y + height / 2,\r\n      rx: 2,\r\n      ry: 2,\r\n      backgroundColor: [68, 206, 100],\r\n      isInteractive: false,\r\n      panelNo: index + 1,\r\n    },\r\n  ];\r\n}\r\n\r\nexport function getActivePanelNumber(itemX: number, panels: number[]) {\r\n  let panelNo;\r\n  for (let index = 0; index < panels.length; index++) {\r\n    if (itemX > panels[index] && itemX < panels[index + 1]) {\r\n      panelNo = index + 1;\r\n    }\r\n  }\r\n  return panelNo;\r\n}\r\n","\r\nimport Vue, { PropType } from 'vue';\r\nimport { v4 as uuidv4 } from 'uuid';\r\nimport { debounce } from 'throttle-debounce';\r\n\r\nimport LogoLibrary from '../logo-library/TheApp.vue';\r\nimport {\r\n  CvIconButton,\r\n  CvGrid,\r\n  CvColumn,\r\n  CvRow,\r\n  CvLoading,\r\n  CvButton,\r\n} from '@carbon/vue';\r\nimport { base64StringToBlob } from 'blob-util';\r\nimport { AnnotationShape, LogoOnlyArtwork, WizardTourStep } from './typings';\r\nimport { ProductPrintPositionAddModel } from '@/typings';\r\nimport { ArtworkPayload, TextShape } from './typings/pintura';\r\n\r\nimport w2pPintura from '@/components/w2pPintura/w2pPintura.vue';\r\nimport VueTour from '@/components/VueTour/main';\r\nimport Notification20 from '@carbon/icons-vue/es/notification/20';\r\nimport GeneratePdf16 from '@carbon/icons-vue/es/generate-pdf/16';\r\nimport { colorStringToColorArray } from 'pintura';\r\nimport customersAPI from '@/services/CustomersService';\r\n\r\nimport { mapActions, mapState, mapStores } from 'pinia';\r\nimport {\r\n  attachActionSubscriber as attachProductActionSubscriber,\r\n  useStore as useProductStore,\r\n} from '@/stores/product';\r\n\r\nimport { attachActionSubscriber as attachUserActionSubscriber } from '@/stores/action';\r\nimport Ruler from './components/ruler/Ruler.vue';\r\nimport {\r\n  attachActionSubscriber as attachShapeActionSubscriber,\r\n  nonTextShapes,\r\n  textShapes,\r\n  useStore as useShapeStore,\r\n} from '@/stores/shape';\r\nimport { useStore as useSectionStore } from '@/stores/section';\r\nimport { useStore as useNotificationStore } from '@/stores/notification';\r\nimport { useStore as useShapeBoxSectionStore } from '@/stores/shapeBoxSection';\r\nimport { useStore as useLangStore } from '@/stores/lang';\r\nimport { useStore as useMirrorStore } from '@/stores/mirror';\r\nimport { useStore as useHistoryStore } from '@/stores/history';\r\nimport { useStore as useColorsManagementStore } from '@/stores/colorsManagement';\r\nimport { CustomToolset } from './components/customTools';\r\nimport { PinturaHeader } from './components/header';\r\nimport { PinturaSidebar } from './components/sidebar';\r\nimport { BellNotificationMonitor } from '@/components/Notifiers/index';\r\nimport { SwitchColor } from '@/components/SwitchColor/index';\r\nimport { removeAppContext, setAppContext } from '@/utils/state';\r\nimport { computed, ComputedRef } from 'vue';\r\nimport isValidLanguageValidator from '@/validators/langLocaleValidator';\r\nimport {\r\n  PdpChoicesSetterType,\r\n  PriceDetailsSetterType,\r\n} from '@/setters/typings';\r\nimport {\r\n  Category,\r\n  Personalization,\r\n  ProductPrintArea,\r\n  ProductPrintAreaPoint,\r\n  RoundItemConfiguration,\r\n} from '@midocean/webapps-shared-domain';\r\nimport { mixin as clickaway } from 'vue-clickaway';\r\nimport { generateEventPayload } from '@/utils/generatePriceParamsEventPayload';\r\nimport { ProductPrintPositionBoxModel } from '@/typings/ProductPrintData';\r\nimport {\r\n  constructArtworkValidationPipeline,\r\n  maxNumberOfColoursValidator,\r\n  ValidationResult,\r\n} from '@/validators/index';\r\nimport { mm2px, px2mm, recalculateDPI } from '@/utils/common';\r\nimport { SupportedLangCodes } from '../../constants/languageCodes';\r\nimport { lineWidth } from '@/constants/areaLineWidth';\r\nimport { DoSmallDetailsPart } from '@/constants/imageProcessingEngine';\r\nimport {\r\n  ManualCheck,\r\n  getSmallDetailsValidatorColor,\r\n} from '../../components/SmallDetails';\r\nimport { mapSmallDetailsPayload } from '@/components/SmallDetails/utils/helper';\r\nimport { DefaultSmallDetailsResult } from '@/typings/SmallDetails';\r\nimport { createStateSnapshot } from '@/utils/historyHelper';\r\nimport { drawPanelLines } from '@/utils/drawPanelLines';\r\nimport {\r\n  PmsColor,\r\n  ProductPrintData,\r\n  ProductPrintVariant,\r\n} from '@midocean/webapps-shared-domain';\r\nimport { positionText } from '@/utils/alignText';\r\n\r\nVue.use(VueTour);\r\n\r\nexport default Vue.extend({\r\n  name: 'ImportWizard',\r\n  components: {\r\n    PinturaHeader,\r\n    PinturaSidebar,\r\n    LogoLibrary,\r\n    w2pPintura,\r\n    CvGrid,\r\n    CvRow,\r\n    CvColumn,\r\n    CvIconButton,\r\n    CvLoading,\r\n    CvButton,\r\n    CustomToolset,\r\n    Notification20,\r\n    BellNotificationMonitor,\r\n    SwitchColor,\r\n    ManualCheck,\r\n    GeneratePdf16,\r\n    Ruler,\r\n  },\r\n  mixins: [clickaway],\r\n\r\n  props: {\r\n    lang: {\r\n      type: String as PropType<SupportedLangCodes>,\r\n      required: false,\r\n      default: 'en',\r\n      validator: isValidLanguageValidator,\r\n    },\r\n    personalizationId: {\r\n      type: String,\r\n      required: false,\r\n      default() {\r\n        return '';\r\n      },\r\n    },\r\n    sapCustomerId: {\r\n      type: String,\r\n      required: true,\r\n    },\r\n    tok: {\r\n      type: String,\r\n      required: true,\r\n    },\r\n    priceDetails: {\r\n      type: Object as PropType<PriceDetailsSetterType>,\r\n      required: true,\r\n    },\r\n    pdpChoices: {\r\n      type: Object as PropType<PdpChoicesSetterType>,\r\n      required: false,\r\n      default: {} as PdpChoicesSetterType,\r\n    },\r\n    printPositions: {\r\n      type: [] as PropType<ProductPrintPositionAddModel[]>,\r\n      required: false,\r\n      default() {\r\n        return [];\r\n      },\r\n    },\r\n    isDirectApproval: {\r\n      type: Boolean,\r\n      required: false,\r\n      default: false,\r\n    },\r\n    isConceptDisabled: {\r\n      type: Boolean,\r\n      required: false,\r\n      default: false,\r\n    },\r\n    isFirstTimeOpened: {\r\n      type: Boolean,\r\n      required: false,\r\n      default: false,\r\n    },\r\n    isOrderDisabled: {\r\n      type: Boolean,\r\n      required: false,\r\n      default: false,\r\n    },\r\n    triggerSmallDetails: {\r\n      type: Boolean,\r\n      required: false,\r\n      default: false,\r\n    },\r\n    customerCompanyLogoUrl: {\r\n      type: String,\r\n      required: false,\r\n      default: '',\r\n    },\r\n    logoOnlyArtwork: {\r\n      type: [] as PropType<LogoOnlyArtwork[]>,\r\n      required: false,\r\n      default: () => {\r\n        return [];\r\n      },\r\n    },\r\n    version: {\r\n      type: String,\r\n      required: false,\r\n      default: 'V1',\r\n    },\r\n  },\r\n\r\n  provide(): {\r\n    $priceDetails: ComputedRef<PriceDetailsSetterType>;\r\n    $pdpChoices: ComputedRef<PdpChoicesSetterType>;\r\n    $printPositions: ComputedRef<Array<unknown>>;\r\n    $sapCustomerId: ComputedRef<string>;\r\n    $isEditMode: ComputedRef<boolean>;\r\n    $personalization: ComputedRef<Personalization>;\r\n    $isDirectApproval: ComputedRef<boolean>;\r\n    $isFirstTimeOpened: ComputedRef<boolean>;\r\n    $isConceptDisabled: ComputedRef<boolean>;\r\n    $isOrderDisabled: ComputedRef<boolean>;\r\n    $customerCompanyLogoUrl: ComputedRef<string>;\r\n  } {\r\n    return {\r\n      $priceDetails: computed(() => {\r\n        // logged for acc debugging purposes, will be removed\r\n        return this.priceDetails;\r\n      }),\r\n      $pdpChoices: computed(() => this.pdpChoices),\r\n      $printPositions: computed(() => this.printPositions),\r\n      $sapCustomerId: computed(() => this.sapCustomerId),\r\n      $isEditMode: computed(() => this.isEditMode),\r\n      $personalization: computed(() => this.personalization),\r\n      $isDirectApproval: computed(() => this.isDirectApproval),\r\n      $isFirstTimeOpened: computed(() => this.isFirstTimeOpened),\r\n      $isOrderDisabled: computed(() => this.isOrderDisabled),\r\n      $isConceptDisabled: computed(() => this.isConceptDisabled),\r\n      $customerCompanyLogoUrl: computed(() => this.customerCompanyLogoUrl),\r\n    };\r\n  },\r\n\r\n  data() {\r\n    return {\r\n      pinturaEditorTop: '0px',\r\n      DoSmallDetailsPart,\r\n      myOptions: {\r\n        labels: {\r\n          buttonSkip: this.$t('main.wizard-tour-skip'),\r\n          buttonPrevious: this.$t('main.wizard-tour-previous'),\r\n          buttonNext: this.$t('main.wizard-tour-next'),\r\n          buttonStop: this.$t('main.wizard-tour-finish'),\r\n        },\r\n      },\r\n      steps: [] as WizardTourStep[],\r\n      uploadedFile: null as unknown as File,\r\n      base64UploadedFileData: '',\r\n      debounce,\r\n      isConcept: false,\r\n\r\n      util: 'finetune',\r\n      // Pintura model\r\n      pinturaShapes: {\r\n        imageAnnotation: [\r\n          /**\r\n           * Annotation shape defining print position area\r\n           */\r\n        ] as AnnotationShape[],\r\n      },\r\n      productPrintData: {} as ProductPrintData,\r\n      pinturaPreviewImage: null as null | string,\r\n\r\n      isModalOpen: false,\r\n\r\n      isProductImageLoaded: false,\r\n      isPinturaExplicitDisableFlag: false,\r\n\r\n      isBellNotification: true,\r\n      isBellClicked: false,\r\n\r\n      personalization: {} as Personalization,\r\n      triggerSmallDetailsCheck: false,\r\n      isTourStarted: false,\r\n      zoomLevel: 1,\r\n      isVerticalRulerDisplayed: false,\r\n      isHorizontalRulerDisplayed: false,\r\n    };\r\n  },\r\n\r\n  computed: {\r\n    ...mapStores(\r\n      useShapeStore,\r\n      useProductStore,\r\n      useSectionStore,\r\n      useNotificationStore,\r\n      useHistoryStore,\r\n      useMirrorStore\r\n    ),\r\n    ...mapState(useNotificationStore, [\r\n      'allValidatorPipelineResults',\r\n      'notificationsForBell',\r\n      'redWarrnings',\r\n    ]),\r\n    ...mapState(useShapeStore, [\r\n      'shapes',\r\n      'positionShapeMap',\r\n      'isLoaderActive',\r\n      'activeShapeId',\r\n    ]),\r\n    ...mapState(useColorsManagementStore, ['availablePmsColors']),\r\n    ...mapState(useProductStore, [\r\n      'activePosition',\r\n      'area',\r\n      'rotation',\r\n      'unavailablePrintPositions',\r\n      'selectedPrintPosition',\r\n      'selectedVariant',\r\n      'positionsSetFromProps',\r\n      'data',\r\n      'isProductPrintable',\r\n      'editedPositions',\r\n      'isLaserConverter',\r\n      'isDebossingTechnique',\r\n      'isPantoneColorTechnique',\r\n      'isSmallDetailsTechnique',\r\n      'isProcessingOrder',\r\n      'previousManagedPrintPositionId',\r\n      'getDebossingColor',\r\n    ]),\r\n    ...mapState(useMirrorStore, ['mirrorShapes', 'positionMirrorShapeMap']),\r\n    ...mapState(useShapeBoxSectionStore, ['getIsValidInput']),\r\n    ...mapState(useLangStore, ['languageInUse']),\r\n\r\n    isDisabledCom(): boolean {\r\n      // Check to see if there are any red notifications\r\n      const redNotification = this.notificationsForBell.some(\r\n        (n) => n.validatorColor === 'Red' && n.validatorName !== 'smallDetails'\r\n      );\r\n\r\n      return (\r\n        this.unavailablePrintPositions.length === 0 ||\r\n        this.shapes.length === 0 ||\r\n        redNotification ||\r\n        !this.getIsValidInput\r\n      );\r\n    },\r\n\r\n    isManualCheckVisible(): boolean {\r\n      const usedTechniques = this.unavailablePrintPositions.map((x) => {\r\n        return this.data.productPrintPositions\r\n          .find((p) => p.name === x.positionName)\r\n          ?.printTechniques.find(\r\n            (t) => t.printTechnique.code === x.technique.printTechniqueSAPCode\r\n          );\r\n      });\r\n      return usedTechniques.some((x) => x?.printTechnique.limitation !== null);\r\n    },\r\n\r\n    activePositionShapes(): unknown[] {\r\n      if (!this.isProductImageLoaded) {\r\n        return [];\r\n      }\r\n\r\n      const shapes = [\r\n        ...this.shapes.filter((shape) =>\r\n          this.positionShapeMap.some(\r\n            (psm) =>\r\n              psm.id === this.selectedPrintPosition.id &&\r\n              psm.logoId === shape.id\r\n          )\r\n        ),\r\n      ];\r\n\r\n      const mirror = [\r\n        ...this.mirrorShapes.filter((s) =>\r\n          this.positionMirrorShapeMap.some(\r\n            (psm) =>\r\n              psm.positionId === this.selectedPrintPosition.id &&\r\n              psm.mirrorId === s.id\r\n          )\r\n        ),\r\n      ];\r\n\r\n      return [...shapes, ...mirror];\r\n    },\r\n\r\n    isEditMode(): boolean {\r\n      return this.personalizationId !== '';\r\n    },\r\n\r\n    productName(): string {\r\n      return this.data && this.data.name;\r\n    },\r\n\r\n    isPinturaDisabled(): boolean {\r\n      return (\r\n        this.isModalOpen ||\r\n        this.unavailablePrintPositions.length === 0 ||\r\n        this.isPinturaExplicitDisableFlag ||\r\n        !this.isProductPrintable\r\n      );\r\n    },\r\n\r\n    // NOTE: This will add the PRINT AREA into the annotation array of Pintura\r\n    //      Set the PRINT AREA as an immutable shape in the annotation array (Branko sent a link on Skype)\r\n    // NOTE: We should also add the code which will add the other LOGOS from the SHAPE STORE here, so they get added into the annotation array of Pintura\r\n    productPositionAnnotationObject(): any {\r\n      if (this.unavailablePrintPositions.length) {\r\n        if (this.activePosition.printArea?.shapeType === 'Ellipse') {\r\n          return [\r\n            {\r\n              id: this.selectedPrintPosition.id,\r\n              ...this.drawPoints(),\r\n              strokeColor: colorStringToColorArray('rgba(247, 202, 24, 1)'),\r\n              strokeWidth: `${lineWidth}%`,\r\n              rotation: this.rotation,\r\n            },\r\n          ];\r\n        }\r\n\r\n        if (this.activePosition.printArea?.shapeType === 'Rectangle') {\r\n          const annotationShapes = [];\r\n\r\n          if (this.activePosition.category === Category.RoundItem) {\r\n            const originalImageWidth =\r\n              (this.activePosition.originalImageWidthPx *\r\n                this.activePosition.originalImageWebDpi) /\r\n              this.activePosition.originalImageDpi;\r\n            const categoryConfig = this.activePosition\r\n              .categoryConfiguration as RoundItemConfiguration;\r\n            const panelWidth = mm2px(\r\n              categoryConfig.productDiameter,\r\n              this.activePosition!.originalImageWebDpi || 96\r\n            );\r\n\r\n            const centeredPanelX = (originalImageWidth - panelWidth) / 2;\r\n\r\n            const { printArea } = this.activePosition;\r\n            const points: ProductPrintAreaPoint[] = (\r\n              printArea as ProductPrintArea\r\n            )?.productPrintAreaPoints.sort((a, b) =>\r\n              a.sequenceNo > b.sequenceNo ? 1 : -1\r\n            );\r\n\r\n            if (!points) return [];\r\n\r\n            const xPositionOfPrintPosition =\r\n              (this.activePosition.printArea &&\r\n                mm2px(\r\n                  points[0].distanceFromLeftEdge,\r\n                  this.activePosition!.originalImageWebDpi || 96\r\n                )) ||\r\n              0;\r\n\r\n            this.setPanelPosition({\r\n              width:\r\n                centeredPanelX +\r\n                panelWidth / categoryConfig.numberOfPanels -\r\n                this.area(this.activePosition.id)[0].x,\r\n              x: xPositionOfPrintPosition,\r\n            });\r\n            const scaleRatio =\r\n              (this.activePosition.originalImageWebDpi as number) /\r\n              (this.activePosition.originalImageDpi as number);\r\n            let printPositionHeight =\r\n              (this.activePosition.originalImageHeightPx as number) *\r\n              scaleRatio;\r\n\r\n            for (\r\n              let index = 0;\r\n              index < categoryConfig.numberOfPanels - 1;\r\n              index++\r\n            ) {\r\n              annotationShapes.push(\r\n                ...drawPanelLines(\r\n                  printPositionHeight,\r\n                  centeredPanelX +\r\n                    (panelWidth * (index + 1)) / categoryConfig.numberOfPanels\r\n                )\r\n              );\r\n            }\r\n          }\r\n          return [\r\n            {\r\n              id: this.selectedPrintPosition.id,\r\n              x: this.drawPoints().x,\r\n              y: this.drawPoints().y,\r\n              width: this.drawPoints().w,\r\n              height: this.drawPoints().h,\r\n              strokeColor: colorStringToColorArray('rgba(247, 202, 24, 1)'),\r\n              strokeWidth: `${lineWidth}%`,\r\n              rotation: this.rotation,\r\n            },\r\n            ...annotationShapes,\r\n\r\n            // {\r\n            //   id: this.selectedPrintPosition.id,\r\n            //   x: this.drawPoints().x,\r\n            //   y: this.drawPoints().y + 60,\r\n            //   width: this.drawPoints().w,\r\n            //   height: this.drawPoints().h,\r\n            //   strokeColor: colorStringToColorArray('rgba(247, 202, 24, 1)'),\r\n            //   strokeWidth: `${lineWidth}%`,\r\n            //   rotation: this.rotation,\r\n            // },\r\n          ];\r\n        }\r\n        return [\r\n          {\r\n            id: this.selectedPrintPosition.id,\r\n            points: this.drawPoints(),\r\n            strokeColor: colorStringToColorArray('rgba(247, 202, 24, 1)'),\r\n            strokeWidth: `${lineWidth}%`,\r\n          },\r\n        ];\r\n      } else {\r\n        return [];\r\n      }\r\n    },\r\n\r\n    modalHandlers() {\r\n      return {\r\n        beforeClose: () => {\r\n          this.isModalOpen = false;\r\n        },\r\n      };\r\n    },\r\n\r\n    base64EvaluatedBlob(): Blob {\r\n      return base64StringToBlob(this.base64UploadedFileData, 'image/png');\r\n    },\r\n  },\r\n\r\n  watch: {\r\n    // Do not touch, if you do, we will know.\r\n    'data.variants'() {\r\n      if (this.data.variants) {\r\n        let selectedVariantColor = '';\r\n        if (this.isEditMode && this.personalization.productVariants) {\r\n          selectedVariantColor =\r\n            this.personalization.productVariants[0].variantColor;\r\n          this.setSelectedVariants(this.personalization.productVariants);\r\n        }\r\n        if (!this.isEditMode) {\r\n          selectedVariantColor =\r\n            this.pdpChoices.productVariants[0].variantColor;\r\n          this.setSelectedVariants(this.pdpChoices.productVariants);\r\n        }\r\n\r\n        const variant = this.data.variants?.find(\r\n          (varImg) => varImg.colour === selectedVariantColor\r\n        ) as ProductPrintVariant;\r\n\r\n        this.setSelectedVariant(variant);\r\n        this.pinturaPreviewImage = this.getPreviewImage();\r\n      }\r\n    },\r\n\r\n    'selectedPrintPosition.name'() {\r\n      this.pinturaPreviewImage = this.getPreviewImage();\r\n    },\r\n\r\n    // isFirstTimeOpened() {\r\n    //   console.log(\"isFirstTimeOpened watcher, 'this' is:\", this);\r\n    //   if (this.isFirstTimeOpened) {\r\n    //     var importWizard = document.querySelector('w2p-import-wizard');\r\n    //     if (importWizard?.shadowRoot) {\r\n    //       var tourElement =\r\n    //         importWizard?.shadowRoot.querySelector('#wizardTour');\r\n    //       console.log(\r\n    //         \"isFirstTimeOpened watcher, 'tourElement' is:\",\r\n    //         tourElement\r\n    //       );\r\n    //       (tourElement as any).__vue__.$tours['wizardTour'].start();\r\n    //     } else {\r\n    //       (this as any).$tours['wizardTour'].start();\r\n    //     }\r\n    //   }\r\n    // },\r\n\r\n    async languageInUse() {\r\n      await this.setDefaultTranslations();\r\n\r\n      if (process.env.VUE_APP_USE_LOCAL_TRANSLATIONS === 'false') {\r\n        var translationsJson = await customersAPI.getTranslations(\r\n          this.languageInUse\r\n        );\r\n        this.$i18n.setLocaleMessage(this.languageInUse, translationsJson.data);\r\n      }\r\n\r\n      this.$i18n.locale = this.languageInUse;\r\n\r\n      this.initializeWizardTourSteps();\r\n    },\r\n\r\n    selectedVariant() {\r\n      this.pinturaPreviewImage = this.getPreviewImage();\r\n    },\r\n\r\n    activePositionShapes(n, o) {\r\n      this.sectionStore.$patch((state) => {\r\n        const methodName = n.length > 0 ? 'setAppContext' : 'removeAppContext';\r\n        state.appContext = this[methodName](\r\n          state.appContext,\r\n          'shape-manipulation'\r\n        );\r\n      });\r\n    },\r\n\r\n    triggerSmallDetails(newValue) {\r\n      this.triggerSmallDetailsCheck = newValue;\r\n    },\r\n\r\n    async pdpChoices(newValue) {\r\n      try {\r\n        if (newValue !== undefined) {\r\n          await this.getProduct(this.pdpChoices.masterProductSKU);\r\n\r\n          if (!this.isEditMode) {\r\n            await this.updateEmptyPrintPositions();\r\n          }\r\n\r\n          await this.getAvailablePmsColors();\r\n\r\n          if (this.logoOnlyArtwork.length > 0) {\r\n            for (\r\n              let i = 0;\r\n              i < this.pdpChoices.productPrintPositions.length;\r\n              i++\r\n            ) {\r\n              const position = this.pdpChoices.productPrintPositions[i];\r\n              const currentPosition = this.productStore.printPositions.find(\r\n                (pos) => pos.name === position.printPositionSAPCode\r\n              );\r\n\r\n              const currentTechnique = currentPosition?.printTechniques.find(\r\n                (tech) =>\r\n                  tech.printTechnique.code === position.printTechniqueSAPCode\r\n              );\r\n\r\n              const blob = base64StringToBlob(\r\n                this.logoOnlyArtwork[i].pngFile,\r\n                'image/png'\r\n              );\r\n              if (currentPosition && currentTechnique) {\r\n                await this.useArtwork(\r\n                  {\r\n                    ...this.logoOnlyArtwork[i],\r\n                    pngFile: blob,\r\n                    pngFileWithoutConverters: blob,\r\n                    processed: '',\r\n                    customerId: '',\r\n                    thumbnailUrl: '',\r\n                    variantArtworkImages: [],\r\n                  } as ArtworkPayload,\r\n                  i === 0,\r\n                  currentPosition.id,\r\n                  currentTechnique.id,\r\n                  true\r\n                );\r\n\r\n                const limitation = currentTechnique.printTechnique.limitation;\r\n                if (limitation) {\r\n                  this.shapes[i].smallDetailsResult = {\r\n                    ...DefaultSmallDetailsResult,\r\n                    isCheckValid: false,\r\n                  };\r\n                }\r\n              }\r\n            }\r\n\r\n            const eventPayload = generateEventPayload();\r\n\r\n            this.setActiveShapeId(this.logoOnlyArtwork[0].id);\r\n\r\n            this.$emit('wizard:price-params-changed', {\r\n              productPrintPositions: eventPayload,\r\n            });\r\n          }\r\n\r\n          this.initializeMirrorSetting();\r\n\r\n          this.setCommercialRemarkNotification();\r\n\r\n          const snapshot = createStateSnapshot();\r\n          this.recordHistory(snapshot);\r\n        }\r\n      } catch (e: unknown) {\r\n        console.error((e as Error).message);\r\n      }\r\n    },\r\n\r\n    async personalizationId(newValue) {\r\n      try {\r\n        /*\r\n        In case that wizzard needs to be initialized with data from\r\n        previously saved personalization, first step is to get personalization\r\n        from backend.\r\n      */\r\n        if (newValue !== undefined && newValue !== '') {\r\n          if (this.isEditMode) {\r\n            const { data } = await customersAPI.getPersonalization(\r\n              this.personalizationId\r\n            );\r\n            this.personalization = data;\r\n          }\r\n          /*\r\n        In both cases, next step is to retrieve product data and list of\r\n        avaible pms colors. For edit mode, personalization object is data\r\n        source and for regular flow pdpChoices.\r\n      */\r\n          const productSKU = this.isEditMode\r\n            ? this.personalization.productSKU\r\n            : this.pdpChoices.masterProductSKU;\r\n          let product: ProductPrintData;\r\n          if (productSKU !== '') {\r\n            product = await this.getProduct(productSKU);\r\n          }\r\n\r\n          /*\r\n        Edit flow: initialize print positions and active\r\n        print position. Print postion object needs to be mapped\r\n        to shape that is used in store.\r\n      */\r\n          if (this.isEditMode) {\r\n            const printPositionsData =\r\n              this.personalization.proofs[0].productPrintPositions;\r\n            const printPostionAddModel: ProductPrintPositionAddModel[] =\r\n              printPositionsData.map((pos) => {\r\n                const position = product.productPrintPositions.find(\r\n                  (p) => p.name === pos.sapCode\r\n                );\r\n                const techniqueId = position?.printTechniques.find(\r\n                  (t) =>\r\n                    t.printTechnique.code === pos.productPrintTechnique.sapCode\r\n                )?.id;\r\n                const technique = position?.printTechniques.find(\r\n                  (t) =>\r\n                    t.printTechnique.code === pos.productPrintTechnique.sapCode\r\n                );\r\n                return {\r\n                  positionId: position?.id,\r\n                  positionName: pos.name,\r\n                  printPositionSAPCode: position?.name,\r\n                  technique: {\r\n                    id: techniqueId,\r\n                    printTechniqueSAPCode: pos.productPrintTechnique.sapCode,\r\n                    techniqueName: pos.productPrintTechnique.name,\r\n                    groupCode: technique?.printTechnique?.group?.code,\r\n                  },\r\n                } as ProductPrintPositionAddModel;\r\n              });\r\n\r\n            /*\r\n         initializeStateFromPersonalization action from shape store is used\r\n         to initialize all arrays and data needed for working on wizard: shapes,\r\n         artworkPayloads, positionShapeMap\r\n        */\r\n            await this.initializeStateFromPersonalization(this.personalization);\r\n            this.setUnavailablePrintPositions(printPostionAddModel);\r\n\r\n            // Revalidate unavailable print positions\r\n            this.revalidateUnavailablePrintPositions();\r\n\r\n            if (DoSmallDetailsPart) {\r\n              this.initializeSmallDetailsNotifications();\r\n            }\r\n\r\n            this.initializeMirrorPositions();\r\n          }\r\n\r\n          await this.getAvailablePmsColors();\r\n\r\n          if (this.personalization) {\r\n            if (this.data.variants) {\r\n              const selectedVariantColor = this.isEditMode\r\n                ? this.personalization.productVariants[0].variantColor\r\n                : this.pdpChoices.productVariants[0].variantColor;\r\n\r\n              const variant = this.data.variants?.find(\r\n                (varImg) => varImg.colour == selectedVariantColor\r\n              ) as ProductPrintVariant;\r\n\r\n              this.setSelectedVariant(variant);\r\n              this.setSelectedVariants(this.personalization.productVariants);\r\n              this.pinturaPreviewImage = this.getPreviewImage();\r\n            }\r\n          }\r\n\r\n          if (this.isEditMode) {\r\n            this.initializeMirrorSettingsFromProof(\r\n              this.personalization.proofs[0]\r\n            );\r\n          } else {\r\n            this.initializeMirrorSetting();\r\n          }\r\n\r\n          this.setCommercialRemarkNotification();\r\n\r\n          const snapshot = createStateSnapshot();\r\n          this.recordHistory(snapshot);\r\n        }\r\n      } catch (e: unknown) {\r\n        console.error(e);\r\n      }\r\n    },\r\n\r\n    isHorizontalRulerDisplayed() {\r\n      if (this.isHorizontalRulerDisplayed) {\r\n        this.pinturaEditorTop = '40px';\r\n      } else {\r\n        this.pinturaEditorTop = '0px';\r\n      }\r\n    },\r\n  },\r\n\r\n  updated() {\r\n    if (this.isFirstTimeOpened && !this.isTourStarted) {\r\n      var importWizard = document.querySelector('w2p-import-wizard-wrapper');\r\n      var importWizardOld = document.querySelector('w2p-import-wizard');\r\n      if (importWizard?.shadowRoot) {\r\n        var tourElement = importWizard?.shadowRoot.querySelector('#wizardTour');\r\n        if (tourElement) {\r\n          this.isTourStarted = true;\r\n          (tourElement as any).__vue__.$tours['wizardTour'].start();\r\n        }\r\n      } else if (importWizardOld?.shadowRoot) {\r\n        var tourElementOld =\r\n          importWizardOld?.shadowRoot.querySelector('#wizardTour');\r\n        if (tourElementOld) {\r\n          this.isTourStarted = true;\r\n          (tourElementOld as any).__vue__.$tours['wizardTour'].start();\r\n        }\r\n      } else {\r\n        this.isTourStarted = true;\r\n        (this as any).$tours['wizardTour'].start();\r\n      }\r\n    }\r\n  },\r\n\r\n  async mounted() {\r\n    /*\r\n     * Attach subscribers\r\n     */\r\n    attachProductActionSubscriber();\r\n    attachShapeActionSubscriber();\r\n    attachUserActionSubscriber();\r\n\r\n    this.initializeWizardTourSteps();\r\n\r\n    try {\r\n      /*\r\n        In case that wizzard needs to be initialized with data from\r\n        previously saved personalization, first step is to get personalization\r\n        from backend.\r\n      */\r\n      if (this.isEditMode) {\r\n        const { data } = await customersAPI.getPersonalization(\r\n          this.personalizationId\r\n        );\r\n        this.personalization = data;\r\n      }\r\n      /*\r\n        In both cases, next step is to retrieve product data and list of\r\n        avaible pms colors. For edit mode, personalization object is data\r\n        source and for regular flow pdpChoices.\r\n      */\r\n      const productSKU = this.isEditMode\r\n        ? this.personalization.productSKU\r\n        : this.pdpChoices.masterProductSKU;\r\n      let product: ProductPrintData;\r\n      if (productSKU !== '') {\r\n        product = await this.getProduct(productSKU);\r\n      }\r\n\r\n      /*\r\n        Regular flow: initialize print positions and active\r\n        print position.\r\n      */\r\n      if (!this.isEditMode) {\r\n        await this.updateEmptyPrintPositions();\r\n      }\r\n\r\n      /*\r\n        Edit flow: initialize print positions and active\r\n        print position. Print postion object needs to be mapped\r\n        to shape that is used in store.\r\n      */\r\n      if (this.isEditMode) {\r\n        const printPositionsData =\r\n          this.personalization.proofs[0].productPrintPositions;\r\n        const printPostionAddModel: ProductPrintPositionAddModel[] =\r\n          printPositionsData.map((pos) => {\r\n            const position = product.productPrintPositions.find(\r\n              (p) => p.name === pos.sapCode\r\n            );\r\n            const techniqueId = position?.printTechniques.find(\r\n              (t) => t.printTechnique.code === pos.productPrintTechnique.sapCode\r\n            )?.id;\r\n            const technique = position?.printTechniques.find(\r\n              (t) => t.printTechnique.code === pos.productPrintTechnique.sapCode\r\n            );\r\n            return {\r\n              positionId: position?.id,\r\n              positionName: pos.name,\r\n              printPositionSAPCode: position?.name,\r\n              technique: {\r\n                id: techniqueId,\r\n                printTechniqueSAPCode: pos.productPrintTechnique.sapCode,\r\n                techniqueName: pos.productPrintTechnique.name,\r\n                groupCode: technique?.printTechnique?.group?.code,\r\n              },\r\n            } as ProductPrintPositionAddModel;\r\n          });\r\n\r\n        /*\r\n         initializeStateFromPersonalization action from shape store is used\r\n         to initialize all arrays and data needed for working on wizard: shapes,\r\n         artworkPayloads, positionShapeMap\r\n        */\r\n        await this.initializeStateFromPersonalization(this.personalization);\r\n        this.setUnavailablePrintPositions(printPostionAddModel);\r\n\r\n        // Revalidate unavailable print positions\r\n        this.revalidateUnavailablePrintPositions();\r\n\r\n        if (DoSmallDetailsPart) {\r\n          this.initializeSmallDetailsNotifications();\r\n        }\r\n\r\n        this.initializeMirrorPositions();\r\n      }\r\n\r\n      await this.getAvailablePmsColors();\r\n\r\n      if (this.personalization) {\r\n        if (this.data.variants) {\r\n          const selectedVariantColor = this.isEditMode\r\n            ? this.personalization.productVariants[0].variantColor\r\n            : this.pdpChoices.productVariants[0].variantColor;\r\n\r\n          const variant = this.data.variants?.find(\r\n            (varImg) => varImg.colour == selectedVariantColor\r\n          ) as ProductPrintVariant;\r\n\r\n          this.setSelectedVariant(variant);\r\n          this.setSelectedVariants(this.personalization.productVariants);\r\n          this.pinturaPreviewImage = this.getPreviewImage();\r\n        }\r\n      }\r\n\r\n      // if (this.logoOnlyArtwork.length > 0) {\r\n      //   for (let i = 0; i < this.pdpChoices.productPrintPositions.length; i++) {\r\n      //     const position = this.pdpChoices.productPrintPositions[i];\r\n      //     const currentPosition = this.productStore.printPositions.find(\r\n      //       (pos) => pos.name === position.printPositionSAPCode\r\n      //     );\r\n\r\n      //     const currentTechnique = currentPosition?.printTechniques.find(\r\n      //       (tech) =>\r\n      //         tech.printTechnique.code === position.printTechniqueSAPCode\r\n      //     );\r\n\r\n      //     const blob = base64StringToBlob(\r\n      //       this.logoOnlyArtwork[i].pngFile,\r\n      //       'image/png'\r\n      //     );\r\n      //     if (currentPosition && currentTechnique) {\r\n      //       await this.useArtwork(\r\n      //         {\r\n      //           ...this.logoOnlyArtwork[i],\r\n      //           pngFile: blob,\r\n      //           pngFileWithoutConverters: blob,\r\n      //           processed: '',\r\n      //           customerId: '',\r\n      //           thumbnailUrl: '',\r\n      //           variantArtworkImages: [],\r\n      //         } as ArtworkPayload,\r\n      //         i === 0,\r\n      //         currentPosition.id,\r\n      //         currentTechnique.id,\r\n      //         true\r\n      //       );\r\n\r\n      //       const limitation = currentTechnique.printTechnique.limitation;\r\n      //       if (limitation) {\r\n      //         this.shapes[i].smallDetailsResult = {\r\n      //           ...DefaultSmallDetailsResult,\r\n      //           isCheckValid: false,\r\n      //         };\r\n      //       }\r\n      //     }\r\n      //   }\r\n\r\n      //   const eventPayload = generateEventPayload();\r\n\r\n      //   this.setActiveShapeId(this.logoOnlyArtwork[0].id);\r\n\r\n      //   this.$emit('wizard:price-params-changed', {\r\n      //     productPrintPositions: eventPayload,\r\n      //   });\r\n      // }\r\n\r\n      if (!this.isEditMode) {\r\n        this.setSelectedVariants(this.pdpChoices.productVariants);\r\n      }\r\n\r\n      if (this.isEditMode) {\r\n        this.initializeMirrorSettingsFromProof(this.personalization.proofs[0]);\r\n      } else {\r\n        this.initializeMirrorSetting();\r\n      }\r\n\r\n      this.setCommercialRemarkNotification();\r\n\r\n      const snapshot = createStateSnapshot();\r\n      this.recordHistory(snapshot);\r\n    } catch (e: unknown) {\r\n      console.error(e);\r\n    }\r\n  },\r\n\r\n  methods: {\r\n    ...mapActions(useShapeStore, ['setPanelPosition']),\r\n    ...mapActions(useNotificationStore, ['setCommercialRemarkNotification']),\r\n    ...mapActions(useLangStore, ['setDefaultTranslations']),\r\n    async recalculateArtworkPosition() {\r\n      const positionId = this.activePosition.id as string;\r\n      if (this.previousManagedPrintPositionId !== positionId) {\r\n        this.shapes.forEach((payload) => {\r\n          if (\r\n            this.positionShapeMap.find(\r\n              (element) =>\r\n                element.id === positionId &&\r\n                payload.kind === 'Logo' &&\r\n                payload.id === element.logoId\r\n            )\r\n          ) {\r\n            this.removeShape(payload as AnnotationShape, false);\r\n            var newId = uuidv4();\r\n            this.useArtwork(\r\n              {\r\n                ...payload,\r\n                id: newId,\r\n                personalizationArtworkId: newId,\r\n              } as ArtworkPayload,\r\n              true,\r\n              positionId,\r\n              this.selectedPrintPosition.techniqueId as string,\r\n              false\r\n            );\r\n          }\r\n        });\r\n\r\n        this.shapes\r\n          .filter((s) => s.kind === 'Text')\r\n          .forEach((shape) => {\r\n            if (\r\n              this.positionShapeMap.find(\r\n                (element) =>\r\n                  element.id === positionId && shape.id === element.logoId\r\n              )\r\n            ) {\r\n              positionText(shape as TextShape, positionId, true);\r\n            }\r\n          });\r\n      }\r\n    },\r\n    initializeWizardTourSteps() {\r\n      this.myOptions = {\r\n        labels: {\r\n          buttonSkip: this.$t('main.wizard-tour-skip'),\r\n          buttonPrevious: this.$t('main.wizard-tour-previous'),\r\n          buttonNext: this.$t('main.wizard-tour-next'),\r\n          buttonStop: this.$t('main.wizard-tour-finish'),\r\n        },\r\n      };\r\n\r\n      this.steps = [\r\n        {\r\n          target: '#logo-library', // We're using document.querySelector() under the hood\r\n          header: {\r\n            title: this.$t('main.wizard-tour-step-1-header').toString(),\r\n          },\r\n          content: this.$t('main.wizard-tour-step-1-content').toString(),\r\n          offset: -200,\r\n          params: {\r\n            placement: 'right', // Any valid Popper.js placement. See https://popper.js.org/popper-documentation.html#Popper.placements\r\n            index: 1,\r\n            totalSteps: 5,\r\n          },\r\n        },\r\n        {\r\n          target: '#print-positions',\r\n          header: {\r\n            title: this.$t('main.wizard-tour-step-2-header').toString(),\r\n          },\r\n          content: this.$t('main.wizard-tour-step-2-content').toString(),\r\n          offset: -200,\r\n          params: {\r\n            placement: 'bottom', // Any valid Popper.js placement. See https://popper.js.org/popper-documentation.html#Popper.placements\r\n            index: 2,\r\n            totalSteps: 5,\r\n          },\r\n        },\r\n        {\r\n          target: '#artwork-details-panel',\r\n          header: {\r\n            title: this.$t('main.wizard-tour-step-3-header').toString(),\r\n          },\r\n          content: this.$t('main.wizard-tour-step-3-content').toString(),\r\n          params: {\r\n            placement: 'left', // Any valid Popper.js placement. See https://popper.js.org/popper-documentation.html#Popper.placements\r\n            index: 3,\r\n            totalSteps: 5,\r\n          },\r\n        },\r\n        {\r\n          target: '#show-order-details',\r\n          header: {\r\n            title: this.$t('main.wizard-tour-step-4-header').toString(),\r\n          },\r\n          content: this.$t('main.wizard-tour-step-4-content').toString(),\r\n          params: {\r\n            placement: 'top', // Any valid Popper.js placement. See https://popper.js.org/popper-documentation.html#Popper.placements\r\n            index: 4,\r\n            totalSteps: 5,\r\n          },\r\n        },\r\n        {\r\n          target: '#save-and-order',\r\n          header: {\r\n            title: this.$t('main.wizard-tour-step-5-header').toString(),\r\n          },\r\n          content: this.$t('main.wizard-tour-step-5-content').toString(),\r\n          params: {\r\n            placement: 'left', // Any valid Popper.js placement. See https://popper.js.org/popper-documentation.html#Popper.placements\r\n            index: 5,\r\n            totalSteps: 5,\r\n          },\r\n        },\r\n      ];\r\n    },\r\n    ...mapActions(useMirrorStore, [\r\n      'updateMirrorShape',\r\n      'initializeMirrorSetting',\r\n      'initializeMirrorPositions',\r\n      'initializeMirrorSettingsFromProof',\r\n    ]),\r\n    ...mapActions(useHistoryStore, ['recordHistory']),\r\n    ...mapActions(useNotificationStore, [\r\n      'resetAllValidatorPipelineResults',\r\n      'setAllValidatorPipelineResults',\r\n      'resetNotificationsForOneShape',\r\n      'revalidateUnavailablePrintPositions',\r\n      'revalidateResolutionOnly',\r\n      'initializeSmallDetailsNotifications',\r\n      'revalidateColorsOnly',\r\n      'revalidateEmptyPrintPositions',\r\n    ]),\r\n    ...mapActions(useColorsManagementStore, [\r\n      'getAvailablePmsColors',\r\n      'changeToClosestPantonesFromPalette',\r\n    ]),\r\n    ...mapActions(useShapeStore, [\r\n      'addArtworkPayload',\r\n      'removeTextPayload',\r\n      'initializeStateFromPersonalization',\r\n      'addTextPayload',\r\n      'deselectShape',\r\n      'selectShape',\r\n      'applyLaserConverter',\r\n      'applyDebossingConverter',\r\n      'applyPantoneConverter',\r\n      'convertToBlob',\r\n      'removeArtworkPayload',\r\n    ]),\r\n    ...mapActions(useProductStore, [\r\n      'getProduct',\r\n      'setActivePrintPosition',\r\n      'setUnavailablePrintPositions',\r\n      'setSelectedVariant',\r\n      'setSelectedVariants',\r\n      'getVariantLaserColor',\r\n      'drawPoints',\r\n      'polygonDetails',\r\n    ]),\r\n    setAppContext,\r\n    removeAppContext,\r\n    log: window.console.log,\r\n    onBackButtonClick() {\r\n      this.$emit('wizard:back');\r\n    },\r\n    emitEvent() {\r\n      this.$emit('preview:pdf');\r\n    },\r\n\r\n    resetFlag() {\r\n      this.triggerSmallDetailsCheck = false;\r\n      this.$emit('action:trigger-small-details');\r\n    },\r\n    emitMoreDetails() {\r\n      console.log('EMIT: action:print-techniques-see-more-details');\r\n      this.$emit('action:print-techniques-see-more-details');\r\n    },\r\n    emitParamsChanged(event: any) {\r\n      console.log('EMIT: wizard:price-params-changed');\r\n      this.$emit('wizard:price-params-changed', event);\r\n    },\r\n    getPreviewImage() {\r\n      return this.selectedVariant !== undefined\r\n        ? (this.selectedVariant.images?.find(\r\n            (i) => i.printPositionID === this.selectedPrintPosition.id\r\n          )?.imageWebUrl as string)\r\n        : null;\r\n    },\r\n    async onEditPrintPosition(\r\n      event: ProductPrintPositionAddModel[],\r\n      newPositionId: string,\r\n      oldPositionId: string\r\n    ) {\r\n      const isLaserChoosen = this.isLaserConverter(newPositionId);\r\n      const isDebossingChoosen = this.isDebossingTechnique(newPositionId);\r\n      const isPantoneChoosen = this.isPantoneColorTechnique(newPositionId);\r\n      const techniqueCode = this.unavailablePrintPositions.find(\r\n        (pp) => pp.positionId === newPositionId\r\n      )?.technique.printTechniqueSAPCode;\r\n      const isSmallDetailsTech = this.isSmallDetailsTechnique(\r\n        newPositionId,\r\n        techniqueCode\r\n      );\r\n\r\n      const printPositionShapes = this.shapes.filter((shape) =>\r\n        this.positionShapeMap.some(\r\n          (psm) => psm.id === newPositionId && psm.logoId === shape.id\r\n        )\r\n      );\r\n\r\n      const textPrintPositionShapes = this.shapes\r\n        .filter((shape) =>\r\n          this.positionShapeMap.some(\r\n            (psm) => psm.id === newPositionId && psm.logoId === shape.id\r\n          )\r\n        )\r\n        .filter(textShapes) as TextShape[];\r\n\r\n      this.shapeStore.$patch((state) => {\r\n        printPositionShapes.map((x) => {\r\n          const shapeIdx = state.shapes.findIndex((p) => p.id === x.id);\r\n\r\n          const smallDetails = mapSmallDetailsPayload(x, isSmallDetailsTech);\r\n\r\n          state.shapes.splice(shapeIdx, 1, {\r\n            ...state.shapes[shapeIdx],\r\n            smallDetailsResult: smallDetails,\r\n          });\r\n        });\r\n\r\n        textPrintPositionShapes.map((x) => {\r\n          const textIdx = state.shapes.findIndex((p) => p.id === x.id);\r\n\r\n          positionText(\r\n            state.shapes[textIdx] as TextShape,\r\n            this.productStore.selectedPrintPosition.id,\r\n            true\r\n          );\r\n\r\n          const smallDetails = mapSmallDetailsPayload(x, isSmallDetailsTech);\r\n\r\n          state.shapes.splice(textIdx, 1, {\r\n            ...state.shapes[textIdx],\r\n            smallDetailsResult: smallDetails,\r\n          });\r\n        });\r\n      });\r\n\r\n      if (isLaserChoosen) {\r\n        const choosenPosition = event.find(\r\n          (x) => x.positionId === newPositionId\r\n        );\r\n\r\n        const configObj = this.getVariantLaserColor(\r\n          choosenPosition?.positionId as string,\r\n          choosenPosition?.technique?.id as string,\r\n          this.selectedVariant.sku\r\n        );\r\n\r\n        const { red: r, green: g, blue: b } = configObj.laserColor;\r\n        const color = [r, g, b];\r\n\r\n        textPrintPositionShapes.forEach((s) => {\r\n          const idx = this.shapes.findIndex((shape) => shape.id === s.id);\r\n\r\n          this.shapeStore.$patch((state) => {\r\n            state.shapes.splice(idx, 1, {\r\n              ...s,\r\n              w2pText: { ...s.w2pText, color: color },\r\n            });\r\n          });\r\n        });\r\n\r\n        for (var s of printPositionShapes) {\r\n          await this.applyLaserConverter(\r\n            s.id,\r\n            choosenPosition?.positionId as string,\r\n            choosenPosition?.technique?.id as string\r\n          );\r\n        }\r\n      } else if (isPantoneChoosen) {\r\n        for (var d of printPositionShapes) {\r\n          await this.applyPantoneConverter(d.id);\r\n        }\r\n        textPrintPositionShapes.forEach((s) => {\r\n          const idx = this.shapes.findIndex((shape) => shape.id === s.id);\r\n          const foundColor = this.availablePmsColors.find(\r\n            (pms) => pms.name === s.w2pText.colorName\r\n          ) as PmsColor;\r\n\r\n          const { red: r, green: g, blue: b } = foundColor;\r\n          const color = [r, g, b];\r\n          this.shapeStore.$patch((state) => {\r\n            const current = this.shapes[idx];\r\n            if (current.kind === 'Text') {\r\n              state.shapes.splice(idx, 1, {\r\n                ...current,\r\n                w2pText: { ...s.w2pText, color: color },\r\n                pngFile: s.pngFileWithoutConverters,\r\n                variantArtworkImages: [],\r\n                backgroundImage: s.pngFileWithoutConverters\r\n                  ? URL.createObjectURL(s.pngFileWithoutConverters)\r\n                  : '',\r\n              });\r\n            }\r\n          });\r\n\r\n          this.updateMirrorShape(this.shapes[idx]);\r\n        });\r\n      } else if (isDebossingChoosen) {\r\n        const debossingColor = this.getDebossingColor;\r\n\r\n        if (debossingColor) {\r\n          textPrintPositionShapes.forEach((s) => {\r\n            const idx = this.shapes.findIndex((shape) => shape.id === s.id);\r\n\r\n            this.shapeStore.$patch((state) => {\r\n              state.shapes.splice(idx, 1, {\r\n                ...s,\r\n                w2pText: {\r\n                  ...s.w2pText,\r\n                  color: debossingColor,\r\n                },\r\n              });\r\n            });\r\n          });\r\n        }\r\n\r\n        for (var sh of printPositionShapes) {\r\n          await this.applyDebossingConverter(sh.id);\r\n        }\r\n      } else {\r\n        printPositionShapes.forEach(async (s) => {\r\n          const artworkIndex = this.shapes.findIndex(\r\n            (artwork) => artwork.id === s.id\r\n          );\r\n\r\n          const shapePayload = { ...this.shapes[artworkIndex] };\r\n\r\n          if (shapePayload.kind === 'Logo') {\r\n            this.shapeStore.$patch((state) => {\r\n              state.shapes.splice(artworkIndex, 1, {\r\n                ...shapePayload,\r\n                pngFile: shapePayload.pngFileWithoutConverters,\r\n                variantArtworkImages: [],\r\n                backgroundImage: shapePayload.pngFileWithoutConverters\r\n                  ? URL.createObjectURL(shapePayload.pngFileWithoutConverters)\r\n                  : '',\r\n              });\r\n            });\r\n            this.updateMirrorShape(shapePayload);\r\n          }\r\n        });\r\n\r\n        textPrintPositionShapes.forEach((s) => {\r\n          const idx = this.shapes.findIndex((shape) => shape.id === s.id);\r\n          const foundColor = this.availablePmsColors.find(\r\n            (pms) => pms.name === s.w2pText.colorName\r\n          ) as PmsColor;\r\n\r\n          const { red: r, green: g, blue: b } = foundColor;\r\n          const color = [r, g, b];\r\n          this.shapeStore.$patch((state) => {\r\n            const current = this.shapes[idx];\r\n            if (current.kind === 'Text') {\r\n              state.shapes.splice(idx, 1, {\r\n                ...current,\r\n                w2pText: { ...s.w2pText, color: color },\r\n                pngFile: s.pngFileWithoutConverters,\r\n                variantArtworkImages: [],\r\n                backgroundImage: s.pngFileWithoutConverters\r\n                  ? URL.createObjectURL(s.pngFileWithoutConverters)\r\n                  : '',\r\n              });\r\n            }\r\n          });\r\n\r\n          this.updateMirrorShape(this.shapes[idx]);\r\n        });\r\n      }\r\n\r\n      await this.recalculateArtworkPosition();\r\n\r\n      this.revalidateArtworks(event, newPositionId, oldPositionId);\r\n\r\n      this.notificationStore.resetCommercialRemarksNotificationsForBell(\r\n        oldPositionId\r\n      );\r\n\r\n      await this.getAvailablePmsColors();\r\n\r\n      this.notificationStore.setCommercialRemarkNotification();\r\n\r\n      const snapshot = createStateSnapshot();\r\n      this.recordHistory(snapshot);\r\n    },\r\n    clickedBell() {\r\n      this.isBellClicked = !this.isBellClicked;\r\n    },\r\n    onBellClickAway() {\r\n      this.isBellClicked = false;\r\n    },\r\n    async updateEmptyPrintPositions() {\r\n      let printPositionsFromPdp = [] as ProductPrintPositionAddModel[];\r\n\r\n      this.pdpChoices.productPrintPositions.map((position) => {\r\n        let positionToAdd = {} as ProductPrintPositionAddModel;\r\n\r\n        if (this.data.productPrintPositions) {\r\n          let filteredPosition = this.data.productPrintPositions.find((pos) => {\r\n            return position.printPositionSAPCode === pos.name;\r\n          });\r\n\r\n          if (filteredPosition) {\r\n            let filteredTechnique = filteredPosition.printTechniques.find(\r\n              (tech) => {\r\n                return (\r\n                  tech.printTechnique.code === position.printTechniqueSAPCode\r\n                );\r\n              }\r\n            );\r\n\r\n            positionToAdd.positionId = filteredPosition.id;\r\n            positionToAdd.positionName = filteredPosition.name;\r\n            positionToAdd.printPositionSAPCode = filteredPosition.name;\r\n            if (filteredTechnique) {\r\n              positionToAdd.technique = {\r\n                id: filteredTechnique.id,\r\n                printTechniqueSAPCode: filteredTechnique.printTechnique.code,\r\n                techniqueName: filteredTechnique.printTechnique.name,\r\n                groupCode: filteredTechnique.printTechnique.group.code,\r\n              };\r\n            }\r\n          }\r\n\r\n          printPositionsFromPdp.push(positionToAdd);\r\n        }\r\n      });\r\n      this.setUnavailablePrintPositions(printPositionsFromPdp);\r\n      this.productStore.$patch({\r\n        positionsSetFromProps: true,\r\n      });\r\n    },\r\n    /**\r\n     * TODO Make generic error handler in Pinia state, and use that one instead\r\n     */\r\n    onLoadError(e: Error) {\r\n      console.error('Give user a notice of loading error...');\r\n      console.error(e);\r\n    },\r\n\r\n    onProductImageLoaded({\r\n      // eslint-disable-next-line @typescript-eslint/no-unused-vars\r\n      dest,\r\n      // eslint-disable-next-line @typescript-eslint/no-unused-vars\r\n      size,\r\n      // eslint-disable-next-line @typescript-eslint/no-unused-vars\r\n      src,\r\n    }: {\r\n      dest: File;\r\n      size: { height: number; width: number };\r\n      src: string;\r\n    }) {\r\n      /**\r\n       * Flag that indicates whether we are able to pass down shapes for this position\r\n       * Make sure we have product image loaded first, as we will get some\r\n       *  strange side-effects otherwise, as canvas will not be ready\r\n       */\r\n      this.isProductImageLoaded = true;\r\n      const elements = document.getElementsByTagName('w2p-import-wizard');\r\n      if (elements.length > 0) {\r\n        let wiz = elements[0] as HTMLElement;\r\n        const style = document.createElement('style');\r\n        style.textContent = `\r\n                        .pintura-editor {\r\n                            --color-background: 244, 244, 244;\r\n                            --color-preview-outline: 255, 255, 255;\r\n                        }\r\n                    `;\r\n        if (wiz.shadowRoot) {\r\n          wiz.shadowRoot.append(style);\r\n        }\r\n      }\r\n    },\r\n    async addToImageDecoration(shape: AnnotationShape) {\r\n      if (shape && shape.kind === 'Logo') {\r\n        await this.addArtworkPayload(\r\n          shape,\r\n          this.selectedPrintPosition.id,\r\n          this.selectedPrintPosition?.techniqueId as string,\r\n          true\r\n        );\r\n      } else {\r\n        // reset text value\r\n\r\n        const positionId = this.productStore.selectedPrintPosition.id;\r\n        const printPosition = this.productStore.data.productPrintPositions.find(\r\n          (x) => x.id === positionId\r\n        );\r\n        const techniqueId = this.productStore.unavailablePrintPositions.find(\r\n          (x) => x.positionId === positionId\r\n        )?.technique.id;\r\n        if (printPosition) {\r\n          const limitation = printPosition.printTechniques.find(\r\n            (x) => x.id === techniqueId\r\n          )?.printTechnique.limitation;\r\n          if (limitation) {\r\n            shape.smallDetailsResult = {\r\n              ...DefaultSmallDetailsResult,\r\n              isCheckValid: false,\r\n            };\r\n          }\r\n          let colorManagementStore = useColorsManagementStore();\r\n          if (colorManagementStore.lastPalette !== 'ALL') {\r\n            shape.w2pText.colorName = this.availablePmsColors[0].name;\r\n            shape.w2pText.color = [\r\n              this.availablePmsColors[0].red,\r\n              this.availablePmsColors[0].green,\r\n              this.availablePmsColors[0].blue,\r\n            ];\r\n          }\r\n          await this.addTextPayload({ ...shape, kind: 'Text' }, positionId);\r\n\r\n          if (shape.w2pText.text !== '') {\r\n            const snapshot = createStateSnapshot();\r\n            this.recordHistory(snapshot);\r\n          }\r\n        }\r\n      }\r\n\r\n      const eventPayload = generateEventPayload();\r\n\r\n      this.$emit('wizard:price-params-changed', {\r\n        productPrintPositions: eventPayload,\r\n      });\r\n    },\r\n\r\n    updateImageDecoration(payload: AnnotationShape[], eventType: string) {\r\n      this.shapeStore.$patch((state) => {\r\n        payload.forEach((override) => {\r\n          const found = state.shapes.findIndex((s) => s.id === override.id);\r\n          if (found !== -1) {\r\n            state.shapes.splice(found, 1, override);\r\n          }\r\n        });\r\n      });\r\n\r\n      const eventPayload = generateEventPayload();\r\n\r\n      if (eventType !== 'selectshape') {\r\n        this.$emit('wizard:price-params-changed', {\r\n          productPrintPositions: eventPayload,\r\n        });\r\n      }\r\n    },\r\n\r\n    async onImportArtwork(payload: ArtworkPayload) {\r\n      await this.useArtwork(\r\n        payload,\r\n        true,\r\n        this.selectedPrintPosition.id,\r\n        this.selectedPrintPosition.techniqueId as string,\r\n        true\r\n      );\r\n      this.setActiveShapeId(payload.id);\r\n\r\n      const eventPayload = generateEventPayload();\r\n\r\n      this.$emit('wizard:price-params-changed', {\r\n        productPrintPositions: eventPayload,\r\n      });\r\n    },\r\n\r\n    async useArtwork(\r\n      payload: ArtworkPayload,\r\n      selectShape: boolean,\r\n      positionId: string,\r\n      techniqueId: string,\r\n      createSnapshot: boolean\r\n    ) {\r\n      const artworkSpaceConsumed = 97; // value in percents\r\n      let calcArtworkWidth = 0;\r\n      let calcArtworkHeight = 0;\r\n      let shapeX = 0;\r\n      let shapeY = 0;\r\n      const CORRECTION_FACTOR = 0;\r\n      const productStore = useProductStore();\r\n\r\n      const currentPrintPosition = productStore.printPositions?.find((p) => {\r\n        return p.id === positionId;\r\n      });\r\n      if (currentPrintPosition) {\r\n        const { originalImageWebDpi, originalImageWidthPx, originalImageDpi } =\r\n          currentPrintPosition;\r\n\r\n        const webImageWidthPx =\r\n          originalImageWidthPx &&\r\n          originalImageWebDpi &&\r\n          originalImageDpi &&\r\n          (originalImageWidthPx * originalImageWebDpi) / originalImageDpi;\r\n        const rectLineWidth = (lineWidth * (webImageWidthPx as number)) / 100;\r\n\r\n        const aspectRatioWH = payload.pngWidthPixels / payload.pngHeightPixels;\r\n        const aspectRatioHW = payload.pngHeightPixels / payload.pngWidthPixels;\r\n\r\n        if (currentPrintPosition.printArea?.shapeType === 'Rectangle') {\r\n          const areaRect = {\r\n            x: this.drawPoints(positionId).x + rectLineWidth / 2,\r\n            y: this.drawPoints(positionId).y + rectLineWidth / 2,\r\n            w: this.drawPoints(positionId).w - rectLineWidth,\r\n            h: this.drawPoints(positionId).h - rectLineWidth,\r\n          };\r\n\r\n          const artworkRatio = payload.pngWidthPixels / payload.pngHeightPixels;\r\n          const areaRatio = areaRect.w / areaRect.h;\r\n\r\n          // Artwork is more landscape than area - fit to width\r\n          if (artworkRatio > areaRatio) {\r\n            calcArtworkWidth = areaRect.w - CORRECTION_FACTOR;\r\n            calcArtworkHeight =\r\n              (calcArtworkWidth / payload.pngWidthPixels) *\r\n              payload.pngHeightPixels;\r\n          }\r\n          // Artwork is more portrait than area - fit to height\r\n          else {\r\n            calcArtworkHeight = areaRect.h - CORRECTION_FACTOR;\r\n            calcArtworkWidth =\r\n              (calcArtworkHeight / payload.pngHeightPixels) *\r\n              payload.pngWidthPixels;\r\n          }\r\n\r\n          let gapW = areaRect.w - calcArtworkWidth;\r\n          let gapH = areaRect.h - calcArtworkHeight;\r\n\r\n          shapeX = areaRect.x + gapW / 2;\r\n          shapeY = areaRect.y + gapH / 2;\r\n        }\r\n\r\n        if (currentPrintPosition.printArea?.shapeType === 'Ellipse') {\r\n          const min =\r\n            this.drawPoints(positionId).rx < this.drawPoints(positionId).ry\r\n              ? this.drawPoints(positionId).rx\r\n              : this.drawPoints(positionId).ry;\r\n          let size = 0;\r\n          if (\r\n            Math.abs(\r\n              this.drawPoints(positionId).ry - this.drawPoints(positionId).rx\r\n            ) > 630\r\n          ) {\r\n            size = min * 2;\r\n          } else {\r\n            size = min * 1.6;\r\n          }\r\n\r\n          if (aspectRatioWH >= aspectRatioHW) {\r\n            calcArtworkWidth = (size * (artworkSpaceConsumed - 15)) / 100;\r\n            calcArtworkHeight = calcArtworkWidth / aspectRatioWH;\r\n          } else {\r\n            calcArtworkHeight = (size * (artworkSpaceConsumed - 15)) / 100;\r\n            calcArtworkWidth = calcArtworkHeight / aspectRatioHW;\r\n          }\r\n\r\n          shapeX = this.drawPoints(positionId).x - calcArtworkWidth / 2;\r\n          shapeY = this.drawPoints(positionId).y - calcArtworkHeight / 2;\r\n        }\r\n\r\n        if (currentPrintPosition.printArea?.shapeType === 'Polygon') {\r\n          const size = this.polygonDetails(positionId).minDistance;\r\n\r\n          if (aspectRatioWH >= aspectRatioHW) {\r\n            calcArtworkWidth = (size * artworkSpaceConsumed) / 100;\r\n            calcArtworkHeight = calcArtworkWidth / aspectRatioWH;\r\n          } else {\r\n            calcArtworkHeight = (size * artworkSpaceConsumed) / 100;\r\n            calcArtworkWidth = calcArtworkHeight / aspectRatioHW;\r\n          }\r\n\r\n          shapeX = this.polygonDetails(positionId).x - calcArtworkWidth / 2;\r\n          shapeY = this.polygonDetails(positionId).y - calcArtworkHeight / 2;\r\n        }\r\n\r\n        const recalculatedHDPI = recalculateDPI(\r\n          px2mm(\r\n            calcArtworkWidth,\r\n            currentPrintPosition?.originalImageWebDpi as number\r\n          ),\r\n          payload.originalHorizontalResolutionDPIs,\r\n          payload.originalWidthMM\r\n        );\r\n\r\n        const recalculatedVDPI = recalculateDPI(\r\n          px2mm(\r\n            calcArtworkHeight,\r\n            currentPrintPosition?.originalImageWebDpi as number\r\n          ),\r\n          payload.originalVerticalResolutionDPIs,\r\n          payload.originalHeightMM\r\n        );\r\n\r\n        const rotationInDegrees = currentPrintPosition?.printArea\r\n          .rotation as number;\r\n        const rotationInRadians = (rotationInDegrees * Math.PI) / 180;\r\n\r\n        let shapeToAdd: AnnotationShape = {\r\n          zindex: 0,\r\n          kind: 'Logo',\r\n          isRoundLogo: false,\r\n          id: payload.personalizationArtworkId,\r\n          title: payload.title,\r\n          backgroundImage: URL.createObjectURL(payload.pngFile as Blob),\r\n          pngFileWithoutConverters: payload.pngFileWithoutConverters,\r\n          x: shapeX,\r\n          y: shapeY,\r\n          isInArea: true,\r\n          width: calcArtworkWidth,\r\n          height: calcArtworkHeight,\r\n          aspectRatio: calcArtworkWidth / calcArtworkHeight,\r\n          processed: '',\r\n          isSelected: selectShape,\r\n          rotation: rotationInRadians,\r\n          pngHorizontalResolutionDPIs: Math.round(recalculatedHDPI),\r\n          pngVerticalResolutionDPIs: Math.round(recalculatedVDPI),\r\n          smallDetailsResult: payload.smallDetailsResult,\r\n          customerId: payload.customerId,\r\n          fileName: payload.fileName,\r\n          thumbnailUrl: payload.thumbnailUrl,\r\n          originalFileUrl: payload.originalFileUrl,\r\n          pngFileUrl: payload.pngFileUrl,\r\n          pngWidthPixels: payload.pngWidthPixels,\r\n          pngHeightPixels: payload.pngHeightPixels,\r\n          originalWidthMM: payload.originalWidthMM,\r\n          originalHeightMM: payload.originalHeightMM,\r\n          isVectorFileTrueVectorFile: payload.isVectorFileTrueVectorFile,\r\n          spotColorsInOriginalFile: payload.spotColorsInOriginalFile,\r\n          pmsColorsInPngFile: payload.pmsColorsInPngFile.map((color) => ({\r\n            ...color,\r\n            originalName: color.name,\r\n          })),\r\n          customerArtworkId: payload.customerArtworkId,\r\n          pngFile: payload.pngFile,\r\n          personalizationArtworkId: payload.personalizationArtworkId,\r\n          originalHorizontalResolutionDPIs:\r\n            payload.originalHorizontalResolutionDPIs,\r\n          originalVerticalResolutionDPIs:\r\n            payload.originalVerticalResolutionDPIs,\r\n          variantArtworkImages: payload.variantArtworkImages,\r\n        };\r\n        let colorManagementStore = useColorsManagementStore();\r\n        if (colorManagementStore.lastPalette !== 'ALL') {\r\n          this.changeToClosestPantonesFromPalette(shapeToAdd);\r\n        }\r\n\r\n        await this.addArtworkPayload(\r\n          { ...shapeToAdd },\r\n          positionId,\r\n          techniqueId,\r\n          createSnapshot\r\n        );\r\n      }\r\n\r\n      this.$modal.hide('logo-library-modal');\r\n    },\r\n\r\n    openModal() {\r\n      /**\r\n       * Disable pintura while the logo library modal is open\r\n       */\r\n      this.isModalOpen = true;\r\n\r\n      /**\r\n       * Open logo library modal\r\n       */\r\n      this.$modal.show('logo-library-modal', { foo: 'bar' });\r\n    },\r\n\r\n    updateShape(current: AnnotationShape) {\r\n      /**\r\n       * UPDATE shape x, y, rotation\r\n       */\r\n      const affectedShapeIndex = this.shapes.findIndex(\r\n        (shape) => shape.id === current.id\r\n      );\r\n\r\n      const affectedShape = this.shapes[affectedShapeIndex] as AnnotationShape;\r\n\r\n      affectedShape.width = current.width;\r\n      affectedShape.height = current.height;\r\n      affectedShape.x = current.x;\r\n      affectedShape.y = current.y;\r\n\r\n      if (affectedShape.kind === 'Logo') {\r\n        const dpi = this.activePosition.originalImageWebDpi || 300;\r\n        const newHDPI = recalculateDPI(\r\n          px2mm(current.width as number, dpi),\r\n          affectedShape.originalHorizontalResolutionDPIs as number,\r\n          affectedShape.originalWidthMM as number\r\n        );\r\n\r\n        const newVDPI = recalculateDPI(\r\n          px2mm(current.height as number, dpi),\r\n          affectedShape.originalVerticalResolutionDPIs as number,\r\n          affectedShape.originalHeightMM as number\r\n        );\r\n\r\n        affectedShape.pngHorizontalResolutionDPIs = Math.round(newHDPI);\r\n        affectedShape.pngVerticalResolutionDPIs = Math.round(newVDPI);\r\n\r\n        this.shapeStore.$patch((state) => {\r\n          if (affectedShape.kind === 'Logo') {\r\n            state.shapes.splice(affectedShapeIndex, 1, {\r\n              ...current,\r\n              ...affectedShape,\r\n            });\r\n          }\r\n        });\r\n\r\n        const printPosition = this.data.productPrintPositions.find(\r\n          (p) => p.id === this.selectedPrintPosition.id\r\n        );\r\n\r\n        const technique = printPosition?.printTechniques.find(\r\n          (t) =>\r\n            t.id === this.selectedPrintPosition.techniqueId ||\r\n            t.printTechnique.id === this.selectedPrintPosition.techniqueId\r\n        );\r\n\r\n        const config = technique?.logoValidators.find(\r\n          (v) => v.type.trim() === 'Resolution'\r\n        )?.configuration;\r\n\r\n        if (\r\n          config &&\r\n          affectedShape.kind === 'Logo' &&\r\n          !affectedShape.isVectorFileTrueVectorFile\r\n        ) {\r\n          this.revalidateResolutionOnly(affectedShape, config);\r\n        }\r\n      }\r\n\r\n      this.updateMirrorShape(affectedShape);\r\n\r\n      const snapshot = createStateSnapshot();\r\n      this.recordHistory(snapshot);\r\n\r\n      const eventPayload = generateEventPayload();\r\n\r\n      this.$emit('wizard:price-params-changed', {\r\n        productPrintPositions: eventPayload,\r\n      });\r\n    },\r\n\r\n    // eslint-disable-next-line @typescript-eslint/no-unused-vars\r\n    beforeUpdateShape(current: AnnotationShape) {\r\n      // console.log('before update shape: ', shape);\r\n    },\r\n\r\n    beforeSelectShape(target: AnnotationShape) {\r\n      this.selectShape(target.id);\r\n    },\r\n\r\n    beforeDeselectShape({\r\n      // eslint-disable-next-line @typescript-eslint/no-unused-vars\r\n      current,\r\n      target,\r\n    }: {\r\n      current: AnnotationShape;\r\n      target: AnnotationShape;\r\n    }) {\r\n      if (!target) {\r\n        this.deselectShape();\r\n      }\r\n    },\r\n\r\n    bringToFront(selectedShapeId: string) {\r\n      const affectedShapeIndex = this.shapes.findIndex(\r\n        (shape) => shape.id === selectedShapeId\r\n      );\r\n      const os = [...this.shapes];\r\n      /**\r\n       * Move the currently selected item to the end of list\r\n       * thus making it appear on top of others (stack like)\r\n       */\r\n      os.push(os.splice(affectedShapeIndex, 1)[0]);\r\n      /**\r\n       * Update state, so that pintura gets newly oredered stack\r\n       */\r\n      this.shapeStore.$patch((state) => {\r\n        state.shapes = os;\r\n      });\r\n    },\r\n\r\n    setActiveShapeId(id: string) {\r\n      if (id.length < 36) {\r\n        return;\r\n      }\r\n      this.selectShape(id);\r\n    },\r\n\r\n    async removeShape(shape: AnnotationShape, createSnapshot: boolean) {\r\n      const shapeStore = useShapeStore();\r\n      const shapeToDelete = shapeStore.shapes.find((s) => s.id === shape.id);\r\n      if (shapeToDelete && shapeToDelete.kind === 'Logo') {\r\n        await this.removeArtworkPayload(shape.id, createSnapshot);\r\n      } else {\r\n        this.removeTextPayload(shape.id, createSnapshot);\r\n      }\r\n\r\n      this.revalidateArtworks(\r\n        this.unavailablePrintPositions,\r\n        this.selectedPrintPosition.id,\r\n        this.selectedPrintPosition.id\r\n      );\r\n\r\n      const eventPayload = generateEventPayload();\r\n\r\n      this.$emit('wizard:price-params-changed', {\r\n        productPrintPositions: eventPayload,\r\n      });\r\n    },\r\n\r\n    revalidateArtworks(\r\n      event: ProductPrintPositionAddModel[],\r\n      positionId: string,\r\n      oldPositionId: string\r\n    ) {\r\n      const relevantEventData = event.find((e) => e.positionId === positionId);\r\n      if (relevantEventData) {\r\n        const activePrintPosition = this.data.productPrintPositions.find(\r\n          (pp) => pp.id === relevantEventData.positionId\r\n        );\r\n\r\n        if (activePrintPosition) {\r\n          const activePrintTechnique = activePrintPosition.printTechniques.find(\r\n            (t) => t.id === relevantEventData.technique.id\r\n          );\r\n\r\n          if (activePrintTechnique) {\r\n            const selectedPrintPosition = {\r\n              ...activePrintPosition,\r\n              techniqueId: activePrintTechnique.id,\r\n              techniqueName: activePrintTechnique.printTechnique.name,\r\n              maximumColours: activePrintTechnique.maximumColours,\r\n            } as ProductPrintPositionBoxModel;\r\n\r\n            const relevantShapeMap = this.positionShapeMap.filter(\r\n              (p) => p.id === selectedPrintPosition.id\r\n            );\r\n            const relevantShapes = this.shapes.filter((a) => {\r\n              return relevantShapeMap.find((s) => s.logoId === a.id);\r\n            }) as AnnotationShape[];\r\n\r\n            if (relevantShapes.length === 0) {\r\n              this.resetAllValidatorPipelineResults(oldPositionId);\r\n            }\r\n\r\n            const allResults = [];\r\n\r\n            for (const shape of relevantShapes) {\r\n              if (shape && shape.kind === 'Logo') {\r\n                // Constructing the validation pipeline\r\n                const pipeline = constructArtworkValidationPipeline(\r\n                  this.data,\r\n                  [selectedPrintPosition],\r\n                  relevantShapes,\r\n                  shape,\r\n                  false\r\n                );\r\n\r\n                // Invoking the validation pipeline\r\n                const pipelineResult = pipeline({\r\n                  payload: shape,\r\n                  validationResult: [],\r\n                });\r\n\r\n                if (\r\n                  DoSmallDetailsPart &&\r\n                  shape.smallDetailsResult &&\r\n                  shape.smallDetailsResult.status !== 'NoCheck'\r\n                ) {\r\n                  const smallDetailsValidator = {\r\n                    printPositionId: positionId,\r\n                    validatorName: 'smallDetails',\r\n                    validatorColor: getSmallDetailsValidatorColor(\r\n                      shape.smallDetailsResult.status\r\n                    ),\r\n                  };\r\n\r\n                  allResults.push({\r\n                    payload: shape,\r\n                    validationResult: [smallDetailsValidator],\r\n                  });\r\n                }\r\n\r\n                // Add the new validation results for the specific artwork to the array\r\n                allResults.push(pipelineResult);\r\n              }\r\n            }\r\n\r\n            if (relevantShapes.length > 0) {\r\n              relevantShapes.forEach((element) => {\r\n                this.resetNotificationsForOneShape(element.id);\r\n              });\r\n              this.revalidateColorsOnly();\r\n            }\r\n\r\n            this.setAllValidatorPipelineResults(allResults);\r\n          }\r\n        }\r\n      }\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/ts-loader/index.js??ref--15-2!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./TheApp.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/ts-loader/index.js??ref--15-2!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./TheApp.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./TheApp.vue?vue&type=template&id=e894e20c&scoped=true\"\nimport script from \"./TheApp.vue?vue&type=script&lang=ts\"\nexport * from \"./TheApp.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./TheApp.vue?vue&type=style&index=0&id=e894e20c&prod&lang=scss\")\nif (style0.__inject__) style0.__inject__(context)\nvar style1 = require(\"./TheApp.vue?vue&type=style&index=1&id=e894e20c&prod&scoped=true&lang=css\")\nif (style1.__inject__) style1.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  \"e894e20c\",\n  null\n  ,true\n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('div',[_c('cv-loading',{staticStyle:{\"z-index\":\"1200\"},attrs:{\"active\":_vm.isCreatingPdf,\"overlay\":true}}),_c('modal',{attrs:{\"name\":\"pdf-preview-modal\",\"height\":\"auto\",\"adaptive\":true,\"click-to-close\":true},on:{\"before-close\":_vm.onCloseModal}},[_c('cv-grid',{staticClass:\"pdf-preview-grid\",attrs:{\"full-width\":\"\"}},[_c('cv-row',{staticClass:\"pdf-preview\"},[_c('cv-column',[_c('div',{staticClass:\"cv-grid-story__preview-col\"},[_c('cv-row',{staticClass:\"modal-heading\"},[_c('cv-column',{staticClass:\"modal-heading-title\"},[_c('h4',{staticClass:\"modal-heading-title\"},[_vm._v(\" \"+_vm._s(_vm.$t('header.your-design-has-been-created'))+\" \")])]),_c('close-32',{staticClass:\"close-button\",on:{\"click\":() => _vm.$modal.hide('pdf-preview-modal')}})],1),_c('cv-row',[_c('p',{staticClass:\"title\"},[_vm._v(_vm._s(_vm.$t('header.preview-of-your-design')))])]),_c('cv-row',{staticClass:\"main-content\"},[_c('cv-column',[_c('div',{staticClass:\"cv-grid-story__preview-col\"},[_c('div',{staticClass:\"cv-grid-story__preview-col proof-card\"},[_c('cv-row',[_c('div',{staticClass:\"proof-card--header\"},[_c('cv-column',[_c('div',{staticClass:\"cv-grid-story__preview-col\",staticStyle:{\"display\":\"flex\",\"align-items\":\"center\",\"width\":\"200px\"}},[_c('img',{staticClass:\"pdf-logo\",attrs:{\"src\":_vm.logoImgSrc,\"height\":\"40px\",\"width\":\"40px\"}}),_c('h6',{staticClass:\"modal-button\"},[_vm._v(\" \"+_vm._s(_vm.$t('section.actions.design-preview-pdf'))+\" \")])])]),_c('cv-column',[_c('div',{staticClass:\"cv-grid-story__preview-col cv-grid-story--flex-end\"},[_c('cv-button',{staticClass:\"modal-button\",attrs:{\"id\":\"wizard-download-pdf\",\"size\":\"small\",\"kind\":\"tertiary\"},on:{\"click\":function($event){return _vm.onPreviewPdf(_vm.pdf)}}},[_c('span',[_vm._v(\" \"+_vm._s(_vm.$t('section.actions.download-preview-pdf'))+\" \")]),_c('generate-pdf-16',{staticClass:\"bx--btn__icon btn--size\"})],1)],1)])],1)]),(_vm.pdf !== undefined)?_c('cv-row',{staticStyle:{\"margin-top\":\"10px\"},attrs:{\"kind\":\"condensed\"}},[_c('cv-column',[_c('div',{staticClass:\"cv-grid-story__preview-col\"},[_c('img',{staticStyle:{\"object-fit\":\"scale-down\",\"width\":\"100%\",\"height\":\"250px\",\"border\":\"solid 1px #e7e7e7\"},attrs:{\"src\":_vm.pdfImg}})])])],1):_vm._e()],1)])])],1)],1)])],1),_c('cv-row',[_c('cv-column',{staticClass:\"modal-buttons\"},[_c('div',{staticClass:\"cv-grid-story__preview-col modal-buttons\"},[_c('cv-button-set',[_c('cv-button',{staticClass:\"modal-button\",attrs:{\"kind\":\"secondary\",\"disabled\":_vm.isOrderingDisabled},on:{\"click\":() => _vm.$modal.hide('pdf-preview-modal')}},[_vm._v(\" \"+_vm._s(_vm.$t('section.actions.back-to-editing')))]),_c('cv-button',{staticClass:\"modal-button\",attrs:{\"id\":\"”order-item-pdf-modal”\",\"kind\":\"primary\",\"disabled\":_vm.isOrderingDisabled},on:{\"click\":_vm.onToShoppingCard}},[_vm._v(_vm._s(_vm.$t('section.actions.to-shopping-cart')))])],1)],1)])],1)],1)],1)],1)\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","\r\nimport Vue, { PropType } from 'vue';\r\nimport {\r\n  CvGrid,\r\n  CvButton,\r\n  CvRow,\r\n  CvColumn,\r\n  CvButtonSet,\r\n  CvLoading,\r\n} from '@carbon/vue';\r\nimport GeneratePdf16 from '@carbon/icons-vue/es/generate-pdf/16';\r\nimport {\r\n  getArtworkFiles,\r\n  getSmallDetailsFiles,\r\n  getVariantFiles,\r\n  getTextFiles,\r\n} from '@/utils/personalizationHelper';\r\nimport { mapActions, mapState } from 'pinia';\r\nimport { useStore as useProductStore } from '@/stores/product';\r\nimport { textShapes, useStore as useShapeStore } from '@/stores/shape';\r\nimport { useStore as useNotificationStore } from '@/stores/notification';\r\nimport { useStore as useShapeBoxSectionStore } from '@/stores/shapeBoxSection';\r\nimport { getProofFormFromState } from '@/utils';\r\nimport customerService from '@/services/CustomersService';\r\nimport Close32 from '@carbon/icons-vue/es/close/16';\r\nimport { UpdatePersonalizationCommand } from '@/web-components/import-wizard/typings/common/createPersonalization';\r\nimport {\r\n  CreatePersonalizationForm,\r\n  Personalization,\r\n} from '@midocean/webapps-shared-domain';\r\nimport { useStore as useLangStore } from '@/stores/lang';\r\nimport customersAPI from '@/services/CustomersService';\r\nimport { DoSmallDetailsPart } from '@/constants/imageProcessingEngine';\r\nimport { revalidateSmallDetails } from '../SmallDetails';\r\nimport { PipelineNotificationType } from '../Notifiers/typings/PipelineNotificationType';\r\n\r\nexport default Vue.extend({\r\n  name: 'PreviewPdf',\r\n  components: {\r\n    CvButton,\r\n    CvRow,\r\n    CvColumn,\r\n    CvLoading,\r\n    GeneratePdf16,\r\n    CvButtonSet,\r\n    CvGrid,\r\n    Close32,\r\n  },\r\n  data() {\r\n    return {\r\n      isCreatingPdf: false,\r\n      pdf: '',\r\n      isModalVisible: false,\r\n      configDefaults: {\r\n        sidebar: {\r\n          viewThumbnail: true,\r\n          viewOutline: false,\r\n          viewAttachments: false,\r\n        },\r\n        secondaryToolbar: false,\r\n        toolbar: {\r\n          toolbarViewerRight: {\r\n            viewBookmark: false,\r\n            openFile: false,\r\n          },\r\n          toolbarViewerLeft: {\r\n            findbar: false,\r\n          },\r\n        },\r\n      },\r\n      pageScale: 'page-fit',\r\n      logoImgSrc: require('../../assets/pdfLogo.png'),\r\n      pdfImg: '',\r\n      isOrderingDisabled: false,\r\n      personalization: {} as Personalization,\r\n    };\r\n  },\r\n  props: {\r\n    pdpChoices: {\r\n      type: Object as PropType<any>,\r\n      required: false,\r\n      default: {} as any,\r\n    },\r\n    personalizationId: {\r\n      type: String,\r\n      required: false,\r\n      default() {\r\n        return '';\r\n      },\r\n    },\r\n    sapCustomerId: {\r\n      type: String,\r\n      required: true,\r\n    },\r\n    customerCompanyLogoUrl: {\r\n      type: String,\r\n      required: false,\r\n      default: '',\r\n    },\r\n    isDirectApproval: {\r\n      type: Boolean,\r\n      required: false,\r\n      default: false,\r\n    },\r\n  },\r\n  computed: {\r\n    ...mapState(useShapeStore, ['shapes']),\r\n    ...mapState(useProductStore, ['data', 'unavailablePrintPositions']),\r\n    ...mapState(useNotificationStore, ['notificationsForBell']),\r\n    ...mapState(useShapeBoxSectionStore, ['getIsValidInput']),\r\n    ...mapState(useLangStore, ['languageInUse']),\r\n\r\n    isEditMode(): boolean {\r\n      return this.personalizationId !== '';\r\n    },\r\n  },\r\n  mounted() {\r\n    this.showModal();\r\n  },\r\n  methods: {\r\n    ...mapActions(useProductStore, ['setSelectedVariant']),\r\n    ...mapActions(useNotificationStore, ['updateSmallDetailsNotifications']),\r\n\r\n    async trySavePersonalization() {\r\n      this.isOrderingDisabled = true;\r\n      const { sku, name } = this.data;\r\n\r\n      const files = await getArtworkFiles(this.shapes);\r\n      const variantFiles = getVariantFiles(this.shapes);\r\n      const smallDetailsFiles = DoSmallDetailsPart\r\n        ? getSmallDetailsFiles(this.shapes)\r\n        : [];\r\n      const textFiles = getTextFiles(this.shapes);\r\n\r\n      try {\r\n        if (!this.isEditMode) {\r\n          const { productVariants: pdpChoicesProductVariants } =\r\n            this.pdpChoices;\r\n\r\n          const form: CreatePersonalizationForm = {\r\n            externalCustomerId: this.sapCustomerId,\r\n            productSKU: sku,\r\n            productName: name,\r\n            isConcept: false,\r\n            isDirectApproval: this.isDirectApproval,\r\n            customerCompanyLogoUrl: this.customerCompanyLogoUrl,\r\n            contactLanguageCode: this.languageInUse,\r\n            creator: '',\r\n            proofType: 'AdvancedPersonalization',\r\n            productVariants: pdpChoicesProductVariants,\r\n            newProofForm: getProofFormFromState(false),\r\n          } as unknown as CreatePersonalizationForm;\r\n\r\n          const {\r\n            data: { id: personalizationId },\r\n          } = await customerService.submitPersonalization(\r\n            files,\r\n            variantFiles,\r\n            smallDetailsFiles,\r\n            textFiles,\r\n            form\r\n          );\r\n\r\n          this.sendEvent({ personalizationId });\r\n          this.$emit('action:disable-pintura');\r\n        }\r\n\r\n        if (this.isEditMode) {\r\n          const command: UpdatePersonalizationCommand = {\r\n            name: this.personalization.proofs[0].name ?? '',\r\n            remarkCodes: this.notificationsForBell\r\n              .filter(\r\n                (notification: PipelineNotificationType) =>\r\n                  notification.validatorName === 'commercialRemark'\r\n              )\r\n              .map((notification) => notification.message),\r\n            ...getProofFormFromState(false),\r\n          };\r\n          await customerService.updatePersonalization(\r\n            files,\r\n            variantFiles,\r\n            smallDetailsFiles,\r\n            textFiles,\r\n            command,\r\n            this.personalization.id,\r\n            this.personalization.proofs[0].id\r\n          );\r\n\r\n          //Check if Order this item btn is clicked, if yes - complete personalization\r\n          await customerService.completePersonalization(\r\n            this.personalization.id\r\n          );\r\n\r\n          this.sendEvent({ personalizationId: this.personalization.id });\r\n          this.$emit('action:disable-pintura');\r\n        }\r\n      } catch (e: unknown) {\r\n        console.log((e as Error).message);\r\n        this.isOrderingDisabled = false;\r\n      }\r\n    },\r\n\r\n    onToShoppingCard() {\r\n      const triggerSmallDetailsCheck =\r\n        this.shapes.filter(\r\n          (x) =>\r\n            x.smallDetailsResult &&\r\n            (x.smallDetailsResult.status === 'Average' ||\r\n              x.smallDetailsResult.status === 'Bad' ||\r\n              !x.smallDetailsResult.isCheckValid)\r\n        ).length > 0;\r\n\r\n      if (DoSmallDetailsPart && triggerSmallDetailsCheck) {\r\n        this.$emit('action:trigger-small-details');\r\n        this.$emit('action:update-is-concept', false); // only option is to create order\r\n      } else {\r\n        this.trySavePersonalization();\r\n      }\r\n    },\r\n\r\n    sendEvent(payload: { personalizationId: string }) {\r\n      if (!this.$root.$refs.inner) return;\r\n      (this.$root.$refs.inner as Vue).$emit('wizard:ordered', payload);\r\n    },\r\n\r\n    async showModal() {\r\n      if (this.isEditMode) {\r\n        const { data } = await customersAPI.getPersonalization(\r\n          this.personalizationId\r\n        );\r\n        this.personalization = data;\r\n      }\r\n      this.isCreatingPdf = true;\r\n\r\n      const isRevalidationNeeded =\r\n        this.shapes.filter(\r\n          (x) =>\r\n            x.smallDetailsResult && x.smallDetailsResult.isCheckValid === false\r\n        ).length > 0;\r\n\r\n      if (DoSmallDetailsPart && isRevalidationNeeded) {\r\n        await revalidateSmallDetails();\r\n\r\n        this.updateSmallDetailsNotifications();\r\n      }\r\n\r\n      const smallDetailsFiles = DoSmallDetailsPart\r\n        ? getSmallDetailsFiles(this.shapes)\r\n        : [];\r\n\r\n      const files = await getArtworkFiles(this.shapes);\r\n      const variantFiles = getVariantFiles(this.shapes);\r\n      const textFiles = getTextFiles(this.shapes);\r\n      const { productVariants: pdpChoicesProductVariants } = this.pdpChoices;\r\n      const { sku, name } = this.data;\r\n      const { newProductPrintPositionForms } = getProofFormFromState(true);\r\n      const remarkCodes = this.notificationsForBell\r\n        .filter(\r\n          (notification: PipelineNotificationType) =>\r\n            notification.validatorName === 'commercialRemark'\r\n        )\r\n        .map((notification) => notification.message);\r\n\r\n      const { data } = await customerService.generateProofPreview(\r\n        files,\r\n        variantFiles,\r\n        smallDetailsFiles,\r\n        textFiles,\r\n        {\r\n          externalCustomerId: this.sapCustomerId,\r\n          productSKU: sku,\r\n          productName: name,\r\n          customerCompanyLogoUrl: this.customerCompanyLogoUrl,\r\n          contactLanguageCode: this.languageInUse,\r\n          proofType: 'AdvancedPersonalization',\r\n          productVariants: pdpChoicesProductVariants,\r\n          productPrintPositionForms: newProductPrintPositionForms,\r\n          remarkCodes: remarkCodes,\r\n        }\r\n      );\r\n\r\n      this.isCreatingPdf = false;\r\n      this.pdf = data.pdfUrl;\r\n      this.pdfImg = data.pdfPreviewUrl;\r\n      this.$modal.show('pdf-preview-modal');\r\n    },\r\n    onCloseModal() {\r\n      this.pdf = '';\r\n      this.pdfImg = '';\r\n      this.$emit('close:preview-pdf');\r\n    },\r\n    async onPreviewPdf(downloadPdfPreviewUrl: string) {\r\n      // in case of usage proof approval component from Backend portal do not use\r\n      // vue pdf app for pdf preview, open pdf in a new tab in browser pdf viewer\r\n\r\n      try {\r\n        window.open(downloadPdfPreviewUrl, '_blank');\r\n      } catch (e) {\r\n        console.log(e);\r\n      }\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/ts-loader/index.js??ref--15-2!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PreviewPdf.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/ts-loader/index.js??ref--15-2!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PreviewPdf.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./PreviewPdf.vue?vue&type=template&id=55693bea&scoped=true\"\nimport script from \"./PreviewPdf.vue?vue&type=script&lang=ts\"\nexport * from \"./PreviewPdf.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./PreviewPdf.vue?vue&type=style&index=0&id=55693bea&prod&scoped=true&lang=css\")\nif (style0.__inject__) style0.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  \"55693bea\",\n  null\n  ,true\n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('modal',{attrs:{\"id\":\"whatsnew\",\"name\":\"whats-new-modal\",\"width\":\"1024px\",\"height\":\"60%\",\"draggable\":\"false\",\"click-to-close\":false,\"close-on-esc\":true}},[_c('div',{staticClass:\"whats-new-container ql-snow ql-editor\"},[_c('div',{staticClass:\"header\"},[_c('div',[_c('h3',{staticClass:\"headerText\"},[_vm._v(_vm._s(_vm.$t('whats-new.title')))])]),_c('div',{staticClass:\"close\"},[_c('close-32',{on:{\"click\":function($event){return _vm.hideModal()}}})],1)]),_c('div',{staticClass:\"contentContainer\"},[_c('div',{staticClass:\"content\"},_vm._l((_vm.releases),function(release){return _c('div',{key:release.id},[_c('div',{staticClass:\"headerText text-divider\"},[_vm._v(\" \"+_vm._s(_vm.$t('whats-new.version'))+\" \"+_vm._s(release.version)+\" \")]),_c('div',{staticClass:\"release\",domProps:{\"innerHTML\":_vm._s(_vm.findTranslation(release))}})])}),0)])])])\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","/**\n * Copyright IBM Corp. 2019, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nimport { c as createSVGComponent } from '../utils-9450cd75.js';\nimport '@carbon/icon-helpers';\nimport 'vue';\n\nconst Close32 = createSVGComponent('Close32', {\n  \"xmlns\": \"http://www.w3.org/2000/svg\",\n  \"viewBox\": \"0 0 32 32\",\n  \"fill\": \"currentColor\",\n  \"width\": 32,\n  \"height\": 32\n}, [{\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M17.4141 16L24 9.4141 22.5859 8 16 14.5859 9.4143 8 8 9.4141 14.5859 16 8 22.5859 9.4143 24 16 17.4141 22.5859 24 24 22.5859 17.4141 16z\"\n  }\n}]);\n\nexport { Close32 as default };\n","\r\nimport Vue from 'vue';\r\nimport Close32 from '@carbon/icons-vue/es/close/32';\r\nimport { Release } from '@/libs/proof-approval/typings/common/Feature';\r\nimport printConfAPIs from '@/services/PrintConfigService';\r\nimport { useStore as useLangStore } from '@/stores/lang';\r\nimport { mapState } from 'pinia';\r\nimport VueCookies from 'vue-cookies';\r\n\r\nVue.use(VueCookies);\r\n\r\nexport default Vue.extend({\r\n  name: 'WhatsNew',\r\n  components: {\r\n    Close32,\r\n  },\r\n  computed: {\r\n    ...mapState(useLangStore, ['languageInUse']),\r\n  },\r\n  data() {\r\n    return {\r\n      releases: [] as Release[],\r\n    };\r\n  },\r\n  watch: {\r\n    languageInUse() {\r\n      this.checkForNewFeatures();\r\n    },\r\n  },\r\n  mounted() {\r\n    window?.addEventListener('keydown', this.handleKeyPress);\r\n    if (this.languageInUse !== 'none') {\r\n      this.checkForNewFeatures();\r\n    }\r\n  },\r\n  methods: {\r\n    showModal() {\r\n      document.body.classList.add('modal-open');\r\n      this.$modal.show('whats-new-modal');\r\n    },\r\n    hideModal() {\r\n      document.body.classList.remove('modal-open');\r\n      this.$modal.hide('whats-new-modal');\r\n    },\r\n    checkForNewFeatures() {\r\n      const w2pReleaseId = this.$cookies.get('w2p_release');\r\n      if (w2pReleaseId === null) {\r\n        this.$cookies.set('w2p_release', 0);\r\n      } else {\r\n        printConfAPIs\r\n          .getNewFeatures(w2pReleaseId, this.languageInUse)\r\n          .then((data) => {\r\n            if (data.data.length > 0) {\r\n              this.releases = data.data;\r\n              this.$cookies.set('w2p_release', this.releases[0].id);\r\n              this.showModal();\r\n            }\r\n          })\r\n          .catch((error) => {\r\n            console.log(error);\r\n          });\r\n      }\r\n    },\r\n    findTranslation(release: Release) {\r\n      return release?.releaseNotes.find(\r\n        (nt) => nt.language.code === this.languageInUse\r\n      )?.text;\r\n    },\r\n    handleKeyPress(event: any) {\r\n      if (event.key === 'Escape') {\r\n        this.hideModal();\r\n      }\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/ts-loader/index.js??ref--15-2!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./WhatsNew.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/ts-loader/index.js??ref--15-2!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./WhatsNew.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./WhatsNew.vue?vue&type=template&id=21e9af10\"\nimport script from \"./WhatsNew.vue?vue&type=script&lang=ts\"\nexport * from \"./WhatsNew.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./WhatsNew.vue?vue&type=style&index=0&id=21e9af10&prod&lang=scss\")\nif (style0.__inject__) style0.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  null,\n  null\n  ,true\n)\n\nexport default component.exports","\r\nimport StyleProvider from '@/StyleProvider.vue';\r\nimport TheApp from './TheApp.vue';\r\nimport Vue, { PropType } from 'vue';\r\n\r\nimport VModal from 'vue-js-modal';\r\nimport PortalVue from 'portal-vue';\r\n\r\nimport { mapActions, mapState, PiniaVuePlugin } from 'pinia';\r\nimport { useStore as useLangStore } from '@/stores/lang';\r\nimport { useStore as useAuthStore } from '@/stores/auth';\r\nimport i18n from '@/i18n';\r\nimport isValidLanguageValidator from '@/validators/langLocaleValidator';\r\nimport { priceDetails, pdpChoices } from '@/setters';\r\nimport { SupportedLangCodes } from '../../constants/languageCodes';\r\nimport { SystemMonitor } from '../../components/Notifiers';\r\n\r\nVue.use(PiniaVuePlugin);\r\nVue.use(VModal, {\r\n  dynamic: true,\r\n  injectModalsContainer: true,\r\n});\r\nVue.use(PortalVue, {\r\n  portalName: 'w2p-portal',\r\n  portalTargetName: 'w2p-portal-target',\r\n});\r\n\r\nimport { pinia } from '@/pinia';\r\nimport { ProductPrintPositionAddModel } from '@/typings';\r\nimport { LogoOnlyArtwork } from './typings';\r\nimport PreviewPdf from '../../components/SwitchColor/PreviewPdf.vue';\r\nimport WhatsNew from '../../components/WhatsNew/WhatsNew.vue';\r\n\r\nexport default Vue.extend({\r\n  name: 'WcExportApp',\r\n  components: {\r\n    StyleProvider,\r\n    TheApp,\r\n    SystemMonitor,\r\n    PreviewPdf,\r\n    WhatsNew,\r\n  },\r\n\r\n  data() {\r\n    return {\r\n      showPreview: false,\r\n      triggerSmallDetailsCheck: false,\r\n    };\r\n  },\r\n\r\n  props: {\r\n    languageCode: {\r\n      type: String as PropType<SupportedLangCodes>,\r\n      required: false,\r\n      default: 'none',\r\n      validator: isValidLanguageValidator,\r\n    },\r\n    personalizationId: {\r\n      type: String,\r\n      required: false,\r\n      default() {\r\n        return '';\r\n      },\r\n    },\r\n    priceDetails,\r\n    pdpChoices,\r\n    sapCustomerId: {\r\n      type: String,\r\n      required: true,\r\n    },\r\n    tok: {\r\n      type: String,\r\n      required: true,\r\n    },\r\n    isDirectApproval: {\r\n      type: Boolean,\r\n      required: false,\r\n      default: false,\r\n    },\r\n    isFirstTimeOpened: {\r\n      type: Boolean,\r\n      required: false,\r\n      default: false,\r\n    },\r\n    isConceptDisabled: {\r\n      type: Boolean,\r\n      required: false,\r\n      default: false,\r\n    },\r\n    isOrderDisabled: {\r\n      type: Boolean,\r\n      required: false,\r\n      default: false,\r\n    },\r\n    printPositions: {\r\n      type: [] as PropType<ProductPrintPositionAddModel[]>,\r\n      required: false,\r\n      default() {\r\n        return [];\r\n      },\r\n    },\r\n    customerCompanyLogoUrl: {\r\n      type: String,\r\n      required: false,\r\n      default: '',\r\n    },\r\n    logoOnlyArtwork: {\r\n      type: [] as PropType<LogoOnlyArtwork[]>,\r\n      required: false,\r\n      default: () => {\r\n        return [];\r\n      },\r\n    },\r\n    version: {\r\n      type: String,\r\n      required: false,\r\n      default: 'V1',\r\n    },\r\n  },\r\n\r\n  computed: {\r\n    ...mapState(useLangStore, ['languageInUse']),\r\n    ...mapState(useAuthStore, ['isTokValid']),\r\n  },\r\n  watch: {\r\n    isTokValid(newValue) {\r\n      if (!newValue) {\r\n        this.$emit('token-invalid-or-expired');\r\n      }\r\n    },\r\n\r\n    async tok(newValue) {\r\n      if (newValue !== '') {\r\n        this.setTok(this.tok);\r\n        await this.setDefaultTranslations();\r\n      }\r\n    },\r\n  },\r\n  async mounted() {\r\n    this.setLanguageLocale(this.languageCode);\r\n    this.setSapCustomerId(this.sapCustomerId);\r\n    this.setTok(this.tok);\r\n    await this.setDefaultTranslations();\r\n  },\r\n\r\n  methods: {\r\n    ...mapActions(useLangStore, [\r\n      'setLanguageLocale',\r\n      'setDefaultTranslations',\r\n    ]),\r\n    ...mapActions(useAuthStore, ['setSapCustomerId', 'setTok']),\r\n\r\n    showPdfPreview() {\r\n      this.showPreview = true;\r\n    },\r\n\r\n    // NOTE: Leave, need it for bug fixing\r\n    emitEvent(eventName: string, event: any) {\r\n      if (eventName === 'wizard:price-params-changed') {\r\n        this.$emit('wizard:price-params-changed', event);\r\n      }\r\n\r\n      if (eventName === 'wizard:back') {\r\n        this.$emit('wizard:back');\r\n      }\r\n    },\r\n    closePreview() {\r\n      this.showPreview = false;\r\n    },\r\n  },\r\n\r\n  i18n,\r\n  pinia,\r\n});\r\n","import mod from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/ts-loader/index.js??ref--15-2!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./import-wizard.vue?vue&type=script&lang=ts&shadow\"; export default mod; export * from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/ts-loader/index.js??ref--15-2!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./import-wizard.vue?vue&type=script&lang=ts&shadow\"","import { render, staticRenderFns } from \"./import-wizard.vue?vue&type=template&id=0ff72298&shadow\"\nimport script from \"./import-wizard.vue?vue&type=script&lang=ts&shadow\"\nexport * from \"./import-wizard.vue?vue&type=script&lang=ts&shadow\"\n\n\n/* normalize component */\nimport normalizer from \"!../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  null,\n  null,\n  null\n  ,true\n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('style-provider',[_c('the-app',{attrs:{\"version\":_vm.version,\"personalization-id\":_vm.personalizationId,\"sap-customer-id\":_vm.sapCustomerId,\"tok\":_vm.tok,\"price-details\":_vm.priceDetails,\"pdp-choices\":_vm.pdpChoices,\"print-positions\":_vm.printPositions,\"lang\":_vm.languageInUse,\"product-description\":_vm.productDescription,\"is-direct-approval\":_vm.isDirectApproval,\"is-first-time-opened\":_vm.isFirstTimeOpened,\"is-concept-disabled\":_vm.isConceptDisabled,\"customer-company-logo-url\":_vm.customerCompanyLogoUrl,\"is-order-disabled\":_vm.isOrderDisabled,\"logo-only-artwork\":_vm.logoOnlyArtwork},on:{\"wizard:ordered\":(payload) => _vm.$emit('wizard:ordered', payload),\"wizard:saved-as-concept\":(payload) => _vm.$emit('wizard:saved-as-concept', payload),\"wizard:back\":function($event){return _vm.$emit('wizard:back')},\"wizard:price-params-changed\":(payload) => _vm.$emit('wizard:price-params-changed', payload)}})],1)\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('div',{staticClass:\"import-wizard-v2 scrollbar-containter-full\"},[_c('tour-modal',{on:{\"start-tour\":function($event){return _vm.startTour()},\"close-tour-modal\":() => _vm.$modal.hide('tour-modal')}}),_c('cv-loading',{staticStyle:{\"z-index\":\"1200\"},attrs:{\"active\":_vm.isLoaderActive,\"overlay\":true}}),_c('modal',{attrs:{\"name\":\"logo-library-modal\",\"width\":\"80%\",\"height\":\"auto\",\"adaptive\":true,\"click-to-close\":true,\"scrollable\":true},on:{\"before-close\":_vm.modalHandlers.beforeClose}},[_c('logo-library',{attrs:{\"sap-customer-id\":_vm.sapCustomerId,\"tok\":_vm.tok,\"env\":{ context: 'wizard' },\"use-version2\":true},on:{\"logo-library:import\":_vm.onImportArtwork,\"logolib:close\":function($event){return _vm.$modal.hide('logo-library-modal')}}})],1),(_vm.initializeCropEditor)?_c('crop-editor',{on:{\"close:crop-editor\":function($event){_vm.initializeCropEditor = false},\"wizard:price-params-changed\":(event) => _vm.$emit('wizard:price-params-changed', event)}}):_vm._e(),_c('div',{staticClass:\"import-wizard-v2__header\",style:({ '--height': `${_vm.HEADER_HEIGHT}px` })},[_c('wizard-header',{attrs:{\"product-name\":_vm.productName,\"button-label\":'test'},on:{\"header:back-button-click\":function($event){return _vm.$emit('wizard:back')}}})],1),_c('div',{staticClass:\"import-wizard-v2__main\",style:({\n      '--height': `${_vm.rootHeight - _vm.HEADER_HEIGHT - _vm.PANELS_HEIGHT_PADDING}px`,\n    })},[_c('div',{ref:\"step2\",staticClass:\"d-flex\",style:({\n        '--width': `${_vm.ICONS_TOOLBAR_WIDTH}px`,\n        '--height': `${_vm.rootHeight - _vm.HEADER_HEIGHT - _vm.PANELS_HEIGHT_PADDING}px`,\n      }),attrs:{\"id\":\"step2\"}},[_c('div',{staticClass:\"import-wizard-v2__actions\",style:({\n          '--width': `${_vm.ICONS_TOOLBAR_WIDTH}px`,\n          '--height': `${\n            _vm.rootHeight - _vm.HEADER_HEIGHT - _vm.PANELS_HEIGHT_PADDING\n          }px`,\n        })},[_c('actions-toolbar',{attrs:{\"active-panel\":_vm.activePanel},on:{\"button:clicked\":(panel) => _vm.changeActivePanel(panel),\"button:help\":_vm.openHelpModal}})],1),_c('div',{staticClass:\"import-wizard-v2__panels scrollbar-containter\",style:({\n          '--width': `${_vm.PANELS_WIDTH}px`,\n          '--height': `${\n            _vm.rootHeight - _vm.HEADER_HEIGHT - _vm.PANELS_HEIGHT_PADDING\n          }px`,\n        })},[_c('h5',{staticClass:\"import-wizard-v2__panels-panel-type\"},[_vm._v(\" \"+_vm._s(_vm.activePanelLabel)+\" \")]),_c(_vm.activePanel,{tag:\"component\",attrs:{\"product-description\":_vm.productDescription,\"add-text-box\":_vm.initializeTextBox},on:{\"add-to:image-decoration\":_vm.addToImageDecoration,\"open-logo-library\":_vm.openLogoLibraryModal,\"open-crop-editor\":_vm.openCropEditor,\"action:reset-text-box\":function($event){_vm.initializeTextBox = false},\"wizard:price-params-changed\":(event) => _vm.$emit('wizard:price-params-changed', event)}})],1)]),_c('div',{staticClass:\"import-wizard-v2__pintura-container\",style:({\n        '--width': _vm.pinturaContainer.width + 'px',\n        '--height': _vm.pinturaContainer.height + 'px',\n      })},[_c('notifications-management',{staticClass:\"import-wizard-v2__notifications\"}),(_vm.pinturaContainer && _vm.canvasSelection.width !== 0)?_c('ruler',{attrs:{\"zoom-level\":_vm.zoomLevel,\"container-width\":_vm.pinturaContainer.width,\"container-height\":_vm.pinturaContainer.height,\"canvas-selection\":_vm.canvasSelection}}):_vm._e(),(_vm.isPositionEmpty && _vm.canvasSelection.width !== 0)?_c('empty-print-position',{attrs:{\"canvas-selection\":_vm.canvasSelection},on:{\"action:add-logo\":_vm.onAddLogoAction,\"action:add-text\":_vm.onAddTextAction}}):_vm._e(),_c('w2p-pintura',{on:{\"beforeselect-shape\":_vm.beforeSelectShape,\"action:zoom\":(level) => (_vm.zoomLevel = level),\"wizard:price-params-changed\":(event) => _vm.$emit('wizard:price-params-changed', event),\"pintura:selection\":(selection) => (_vm.canvasSelection = selection)}}),(_vm.DoSmallDetailsPart && _vm.isManualCheckVisible)?_c('manual-check',{attrs:{\"trigger-small-details-check\":_vm.triggerSmallDetailsCheck,\"is-concept\":_vm.isConcept},on:{\"modal:open\":_vm.openLogoLibraryModal,\"action:reset-flag\":_vm.resetFlag,\"action:disable-pintura\":function($event){_vm.isPinturaExplicitDisableFlag = true},\"wizard:ordered\":(payload) => _vm.$emit('wizard:ordered', payload),\"wizard:saved-as-concept\":(payload) => _vm.$emit('wizard:saved-as-concept', payload)}}):_vm._e()],1),_c('div',{staticClass:\"import-wizard-v2__order-details-container\",style:({\n        '--left': _vm.orderDetailsLeft,\n      })},[_c('order-details',{ref:\"step5\",attrs:{\"id\":\"step5\",\"price-details\":_vm.priceDetails,\"pdp-choices-data\":_vm.pdpChoices},on:{\"action:disable-pintura\":function($event){_vm.isPinturaExplicitDisableFlag = true},\"wizard:ordered\":(payload) => _vm.$emit('wizard:ordered', payload),\"action:trigger-small-details\":() => _vm.triggerSmallDetails(false)}})],1),_c('div',{staticClass:\"import-wizard-v2__right-sections\",style:({\n        '--width': `${_vm.POSITIONS_MANAGER_WIDTH}px`,\n        '--height': `${\n          _vm.rootHeight - _vm.HEADER_HEIGHT - _vm.RIGHT_SECTIONS_HEIGHT_PADDING\n        }px`,\n      })},[_c('div',{ref:\"step3\",staticClass:\"import-wizard-v2__positions-manager\",style:({ '--width': `${_vm.POSITIONS_MANAGER_WIDTH}px` }),attrs:{\"id\":\"step3\"}},[_c('positions-management',{attrs:{\"sap-customer-id\":_vm.sapCustomerId,\"tok\":_vm.tok},on:{\"positions:updated\":_vm.onResize,\"wizard:price-params-changed\":(event) => _vm.$emit('wizard:price-params-changed', event)}})],1),_c('div',{ref:\"step4\",staticClass:\"import-wizard-v2__preview\",style:({ '--width': `${_vm.POSITIONS_MANAGER_WIDTH}px` }),attrs:{\"id\":\"step4\"}},[_c('preview-section',{on:{\"action:trigger-small-details\":() => _vm.triggerSmallDetails(true),\"wizard:saved-as-concept\":(payload) => _vm.$emit('wizard:saved-as-concept', payload),\"preview:pdf\":function($event){_vm.showPreview = true},\"update:colors\":_vm.onResize}})],1)])]),(_vm.showPreview)?_c('preview-pdf',{attrs:{\"pdp-choices\":_vm.pdpChoices,\"sap-customer-id\":_vm.sapCustomerId,\"personalization-id\":_vm.personalizationId,\"customer-company-logo-url\":_vm.customerCompanyLogoUrl,\"is-direct-approval\":_vm.isDirectApproval,\"is-order-disabled\":_vm.isOrderDisabled},on:{\"close:preview-pdf\":() => (_vm.showPreview = false),\"action:trigger-small-details\":() => _vm.triggerSmallDetails(false),\"wizard:ordered\":(payload) => _vm.$emit('wizard:ordered', payload)}}):_vm._e(),_c('v-tour',{attrs:{\"id\":\"wizardTour\",\"name\":\"wizardTour\",\"steps\":_vm.steps,\"options\":_vm.myOptions,\"version\":_vm.version}})],1)\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('PinturaEditor',_vm._b({ref:\"pinturaEditor\",attrs:{\"id\":\"step1\",\"src\":_vm.src,\"util\":_vm.util,\"imageAnnotation\":_vm.positionAreaAnnotation,\"imageDecoration\":_vm.activePositionShapes,\"preview-upscale\":true,\"markupEditorZoomLevels\":[\n    0.1, 0.15, 0.2, 0.25, 0.5, 0.75, 1, 1.25, 1.5, 2, 2.5, 3,\n  ],\"markupEditorZoomAdjustStep\":0.01,\"markupEditorZoomAdjustFactor\":0.1,\"beforeUpdateShape\":_vm.beforeUpdateShape,\"beforeSelectShape\":_vm.beforeSelectShape,\"beforeDeselectShape\":_vm.beforeDeselectShape,\"beforeRemoveShape\":_vm.beforeRemoveShape},on:{\"pintura:updateshape\":_vm.updateShape,\"pintura:zoom\":(e) => _vm.$emit('action:zoom', e),\"select-shape\":_vm.selectShape}},'PinturaEditor',_vm.editorDefaults,false))\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","/**\n * Copyright IBM Corp. 2016, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nvar _24 = {\n  \"elem\": \"svg\",\n  \"attrs\": {\n    \"xmlns\": \"http://www.w3.org/2000/svg\",\n    \"viewBox\": \"0 0 32 32\",\n    \"fill\": \"currentColor\",\n    \"width\": 24,\n    \"height\": 24\n  },\n  \"content\": [{\n    \"elem\": \"path\",\n    \"attrs\": {\n      \"d\": \"M20,10H7.8149l3.5874-3.5859L10,5,4,11,10,17l1.4023-1.4146L7.8179,12H20a6,6,0,0,1,0,12H12v2h8a8,8,0,0,0,0-16Z\"\n    }\n  }],\n  \"name\": \"undo\",\n  \"size\": 24\n};\n\nexport { _24 as default };\n","/**\n * Copyright IBM Corp. 2016, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nvar _24 = {\n  \"elem\": \"svg\",\n  \"attrs\": {\n    \"xmlns\": \"http://www.w3.org/2000/svg\",\n    \"viewBox\": \"0 0 32 32\",\n    \"fill\": \"currentColor\",\n    \"width\": 24,\n    \"height\": 24\n  },\n  \"content\": [{\n    \"elem\": \"path\",\n    \"attrs\": {\n      \"d\": \"M12,10H24.1851L20.5977,6.4141,22,5,28,11,22,17l-1.4023-1.4146L24.1821,12H12a6,6,0,0,0,0,12h8v2H12a8,8,0,0,1,0-16Z\"\n    }\n  }],\n  \"name\": \"redo\",\n  \"size\": 24\n};\n\nexport { _24 as default };\n","/**\n * Copyright IBM Corp. 2016, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nvar _24 = {\n  \"elem\": \"svg\",\n  \"attrs\": {\n    \"xmlns\": \"http://www.w3.org/2000/svg\",\n    \"viewBox\": \"0 0 32 32\",\n    \"fill\": \"currentColor\",\n    \"width\": 24,\n    \"height\": 24\n  },\n  \"content\": [{\n    \"elem\": \"path\",\n    \"attrs\": {\n      \"d\": \"M23,28a1,1,0,0,1-.71-.29l-6.13-6.14-3.33,5a1,1,0,0,1-1,.44,1,1,0,0,1-.81-.7l-6-20A1,1,0,0,1,6.29,5l20,6a1,1,0,0,1,.7.81,1,1,0,0,1-.44,1l-5,3.33,6.14,6.13a1,1,0,0,1,0,1.42l-4,4A1,1,0,0,1,23,28Zm0-2.41L25.59,23l-7.16-7.15,5.25-3.5L7.49,7.49l4.86,16.19,3.5-5.25Z\"\n    }\n  }],\n  \"name\": \"cursor--1\",\n  \"size\": 24\n};\n\nexport { _24 as default };\n","/**\n * Copyright IBM Corp. 2016, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nvar _24 = {\n  \"elem\": \"svg\",\n  \"attrs\": {\n    \"xmlns\": \"http://www.w3.org/2000/svg\",\n    \"viewBox\": \"0 0 32 32\",\n    \"fill\": \"currentColor\",\n    \"width\": 24,\n    \"height\": 24\n  },\n  \"content\": [{\n    \"elem\": \"path\",\n    \"attrs\": {\n      \"d\": \"M20,8H18A5,5,0,0,0,8,8H6A7,7,0,0,1,20,8Z\"\n    }\n  }, {\n    \"elem\": \"path\",\n    \"attrs\": {\n      \"d\": \"M25,15a2.94,2.94,0,0,0-1.47.4A3,3,0,0,0,21,14a2.94,2.94,0,0,0-1.47.4A3,3,0,0,0,16,13.18V8h0a3,3,0,0,0-6,0V19.1L7.77,17.58h0A2.93,2.93,0,0,0,6,17a3,3,0,0,0-2.12,5.13l8,7.3A6.16,6.16,0,0,0,16,31h5a7,7,0,0,0,7-7V18A3,3,0,0,0,25,15Zm1,9a5,5,0,0,1-5,5H16a4.17,4.17,0,0,1-2.76-1L5.29,20.7A1,1,0,0,1,5,20a1,1,0,0,1,1.6-.8L12,22.9V8a1,1,0,0,1,2,0h0V19h2V16a1,1,0,0,1,2,0v3h2V17a1,1,0,0,1,2,0v2h2V18a1,1,0,0,1,2,0Z\"\n    }\n  }],\n  \"name\": \"touch--1\",\n  \"size\": 24\n};\n\nexport { _24 as default };\n","import { toString } from '@carbon/icon-helpers';\r\n\r\nimport Undo24 from '@carbon/icons/es/undo/24';\r\nimport Redo24 from '@carbon/icons/es/redo/24';\r\nimport Cursor_124 from '@carbon/icons/es/cursor--1/24';\r\nimport Touch_124 from '@carbon/icons/es/touch--1/24';\r\n\r\nconst strUndo24 = toString(Undo24);\r\nconst strRedo24 = toString(Redo24);\r\nconst strCursor24 = toString(Cursor_124);\r\nconst strTouch24 = toString(Touch_124);\r\n\r\nexport { strUndo24, strRedo24, strCursor24, strTouch24 };\r\n","import { defineStore } from 'pinia';\r\nimport cloneDeep from 'lodash.clonedeep';\r\nimport { StateSnapshot } from '@/typings/historyV2';\r\n\r\nexport const useStore = defineStore({\r\n  id: 'history',\r\n\r\n  state: () => {\r\n    return {\r\n      pointer: -1,\r\n      history: [] as StateSnapshot[],\r\n    };\r\n  },\r\n  getters: {\r\n    isUndoPossible(): boolean {\r\n      return this.history.length > 0 && this.pointer > 0;\r\n    },\r\n    isRedoPossible(): boolean {\r\n      return this.history.length > 0 && this.pointer < this.history.length - 1;\r\n    },\r\n  },\r\n  actions: {\r\n    recordHistory(snapshot: StateSnapshot) {\r\n      if (this.pointer !== this.history.length - 1) {\r\n        this.history = this.history.splice(0, this.pointer + 1);\r\n      }\r\n      this.history.push(snapshot);\r\n      this.pointer += 1;\r\n    },\r\n    undo(): StateSnapshot | null {\r\n      if (this.pointer >= 0) {\r\n        this.pointer -= 1;\r\n        return this.history[this.pointer];\r\n      }\r\n      return null;\r\n    },\r\n    redo(): StateSnapshot | null {\r\n      if (this.pointer < this.history.length) {\r\n        this.pointer += 1;\r\n        return this.history[this.pointer];\r\n      }\r\n      return null;\r\n    },\r\n  },\r\n});\r\n","import { useStore as useShapeStore } from '@/stores/v2/shape';\r\nimport { useStore as useProductStore } from '@/stores/v2/product';\r\nimport { useStore as useNotificationStore } from '@/stores/v2/notification';\r\nimport { useStore as useMirrorStore } from '@/stores/v2/mirror';\r\nimport cloneDeep from 'lodash.clonedeep';\r\nimport { StateSnapshot } from '@/typings/historyV2';\r\n\r\nexport function createStateSnapshot(): StateSnapshot {\r\n  const shapeStore = useShapeStore();\r\n  const productStore = useProductStore();\r\n  const notificationStore = useNotificationStore();\r\n  const mirrorStore = useMirrorStore();\r\n\r\n  const snapshot: StateSnapshot = {\r\n    shapeState: {\r\n      shapes: cloneDeep(shapeStore.shapes),\r\n      activeShapeId: shapeStore.activeShapeId,\r\n      positionShapeMap: cloneDeep(shapeStore.positionShapeMap),\r\n    },\r\n    productState: {\r\n      unavailablePrintPositions: cloneDeep(\r\n        productStore.unavailablePrintPositions\r\n      ),\r\n      selectedPrintPosition: cloneDeep(productStore.selectedPrintPosition),\r\n      lastManagedPrintPositionId: productStore.lastManagedPrintPositionId,\r\n      previousManagedPrintPositionId:\r\n        productStore.previousManagedPrintPositionId,\r\n    },\r\n    notificationState: {\r\n      notifications: cloneDeep(notificationStore.notifications),\r\n    },\r\n    mirrorState: {\r\n      mirrorShapes: cloneDeep(mirrorStore.mirrorShapes),\r\n      positionMirrorShapeMap: cloneDeep(mirrorStore.positionMirrorShapeMap),\r\n      positionMirrorSettings: cloneDeep(mirrorStore.positionMirrorSettings),\r\n    },\r\n  };\r\n\r\n  return snapshot;\r\n}\r\n","import {\r\n  STROKE_COLOR_ACTIVE,\r\n  STROKE_COLOR_GREEN,\r\n  STROKE_COLOR_PASSIVE,\r\n} from '@/web-components/import-wizard-v2/constants';\r\nimport {\r\n  Category,\r\n  ProductPrintPosition,\r\n  RoundItemConfiguration,\r\n  mm2px,\r\n} from '@midocean/webapps-shared-domain';\r\nimport { getActivePanelNumber } from './drawPanelLines';\r\nimport { PanelTargetLine } from '@/typings/ProductPrintData';\r\nimport { AnnotationShape } from '@/web-components/import-wizard-v2/typings/common';\r\nimport { useStore as useProductStore } from '@/stores/v2/product';\r\n\r\nexport function generatePanelSections(activePosition: ProductPrintPosition) {\r\n  const elements = [];\r\n  if (activePosition.category === Category.RoundItem) {\r\n    const originalImageWidth =\r\n      (activePosition.originalImageWidthPx *\r\n        activePosition.originalImageWebDpi) /\r\n      activePosition.originalImageDpi;\r\n    const categoryConfig =\r\n      activePosition.categoryConfiguration as RoundItemConfiguration;\r\n    const panelWidth = mm2px(\r\n      categoryConfig.productDiameter,\r\n      activePosition.originalImageWebDpi || 96\r\n    );\r\n    const centeredPanelXCoordinate = (originalImageWidth - panelWidth) / 2;\r\n\r\n    for (let index = 0; index < categoryConfig.numberOfPanels - 1; index++) {\r\n      elements.push(\r\n        centeredPanelXCoordinate +\r\n          (panelWidth * (index + 1)) / categoryConfig.numberOfPanels\r\n      );\r\n    }\r\n\r\n    return elements;\r\n  } else {\r\n    return [];\r\n  }\r\n}\r\n\r\nexport function drawPanelSections(\r\n  activePosition: ProductPrintPosition,\r\n  y: number,\r\n  height: number\r\n) {\r\n  if (activePosition.category === Category.RoundItem) {\r\n    const originalImageWidth =\r\n      (activePosition.originalImageWidthPx *\r\n        activePosition.originalImageWebDpi) /\r\n      activePosition.originalImageDpi;\r\n    const categoryConfig =\r\n      activePosition.categoryConfiguration as RoundItemConfiguration;\r\n    const panelWidth = mm2px(\r\n      categoryConfig.productDiameter,\r\n      activePosition.originalImageWebDpi || 96\r\n    );\r\n    const centeredPanelXCoordinate = (originalImageWidth - panelWidth) / 2;\r\n\r\n    const elements = [];\r\n\r\n    for (let index = 0; index < categoryConfig.numberOfPanels - 1; index++) {\r\n      elements.push({\r\n        strokeColor: STROKE_COLOR_GREEN,\r\n        x1:\r\n          centeredPanelXCoordinate +\r\n          (panelWidth * (index + 1)) / categoryConfig.numberOfPanels,\r\n        x2:\r\n          centeredPanelXCoordinate +\r\n          (panelWidth * (index + 1)) / categoryConfig.numberOfPanels,\r\n        y1: y + height / 8,\r\n        y2: y + height - height / 8,\r\n      });\r\n    }\r\n\r\n    return elements;\r\n  }\r\n}\r\n\r\nexport function updateTargetLines(\r\n  shape: AnnotationShape,\r\n  centerCoordinatesOfPanels: PanelTargetLine[],\r\n  panelsPositions: number[],\r\n  isRemovingShape?: boolean\r\n) {\r\n  const productStore = useProductStore();\r\n  const activePanelNumber = getActivePanelNumber(shape.x, panelsPositions);\r\n  const centerOfPanelVerticalLine = centerCoordinatesOfPanels.find((item) => {\r\n    if (\r\n      Math.abs(\r\n        Math.round(item.x1 + (item.x2 - item.x1) / 2) -\r\n          Math.round(shape.x + shape.width / 2)\r\n      ) < 10 &&\r\n      activePanelNumber === item.panelNo &&\r\n      item.isInteractive\r\n    ) {\r\n      return item;\r\n    }\r\n  });\r\n\r\n  const centerOfPanelHorizontalLine = centerCoordinatesOfPanels.find((item) => {\r\n    if (\r\n      Math.abs(\r\n        Math.round(item.y1 + (item.y2 - item.y1) / 2) -\r\n          Math.round(shape.y + shape.height / 2)\r\n      ) < 10 &&\r\n      activePanelNumber === item.panelNo &&\r\n      item.isInteractive &&\r\n      item.id !== centerOfPanelVerticalLine?.id\r\n    ) {\r\n      return item;\r\n    }\r\n  });\r\n\r\n  if (\r\n    centerOfPanelVerticalLine &&\r\n    centerOfPanelVerticalLine.isInteractive &&\r\n    centerOfPanelHorizontalLine &&\r\n    centerOfPanelHorizontalLine.isInteractive &&\r\n    !isRemovingShape\r\n  ) {\r\n    const objToUpdateIndexX = centerCoordinatesOfPanels.findIndex(\r\n      (item) => item.id === centerOfPanelVerticalLine.id\r\n    );\r\n    const objToUpdateIndexY = centerCoordinatesOfPanels.findIndex(\r\n      (item) => item.id === centerOfPanelHorizontalLine.id\r\n    );\r\n\r\n    centerOfPanelVerticalLine.strokeColor = STROKE_COLOR_ACTIVE;\r\n    centerOfPanelHorizontalLine.strokeColor = STROKE_COLOR_ACTIVE;\r\n\r\n    centerCoordinatesOfPanels[objToUpdateIndexX] = {\r\n      ...centerCoordinatesOfPanels[objToUpdateIndexX],\r\n      strokeColor: STROKE_COLOR_ACTIVE,\r\n    };\r\n    centerCoordinatesOfPanels[objToUpdateIndexY] = {\r\n      ...centerCoordinatesOfPanels[objToUpdateIndexY],\r\n      strokeColor: STROKE_COLOR_ACTIVE,\r\n    };\r\n\r\n    productStore.setCenterCoordinatesOfPanels([...centerCoordinatesOfPanels]);\r\n  } else {\r\n    productStore.setCenterCoordinatesOfPanels([\r\n      ...centerCoordinatesOfPanels.map((obj) => {\r\n        obj.strokeColor = STROKE_COLOR_PASSIVE;\r\n        return obj;\r\n      }),\r\n    ]);\r\n  }\r\n\r\n  return centerCoordinatesOfPanels;\r\n}\r\n","<template>\r\n  <!-- eslint-disable -->\r\n  <PinturaEditor\r\n    id=\"step1\"\r\n    ref=\"pinturaEditor\"\r\n    v-bind=\"editorDefaults\"\r\n    :src=\"src\"\r\n    :util=\"util\"\r\n    :imageAnnotation=\"positionAreaAnnotation\"\r\n    :imageDecoration=\"activePositionShapes\"\r\n    :preview-upscale=\"true\"\r\n    :markupEditorZoomLevels=\"[\r\n      0.1, 0.15, 0.2, 0.25, 0.5, 0.75, 1, 1.25, 1.5, 2, 2.5, 3,\r\n    ]\"\r\n    :markupEditorZoomAdjustStep=\"0.01\"\r\n    :markupEditorZoomAdjustFactor=\"0.1\"\r\n    :beforeUpdateShape=\"beforeUpdateShape\"\r\n    :beforeSelectShape=\"beforeSelectShape\"\r\n    :beforeDeselectShape=\"beforeDeselectShape\"\r\n    :beforeRemoveShape=\"beforeRemoveShape\"\r\n    @pintura:updateshape=\"updateShape\"\r\n    @pintura:zoom=\"(e) => $emit('action:zoom', e)\"\r\n    @select-shape=\"selectShape\"\r\n  />\r\n</template>\r\n<script>\r\nimport Vue from 'vue';\r\n\r\nimport { limitToContextWithCorrectionFactor } from '@/utils/common';\r\nimport { strUndo24, strRedo24, strCursor24, strTouch24 } from './carbon-icons';\r\nimport {\r\n  /**\r\n   * Import the default image reader and writer\r\n   */\r\n  createDefaultImageReader,\r\n  createDefaultImageWriter,\r\n\r\n  /**\r\n   * The method used to register the plugins\r\n   */\r\n  setPlugins,\r\n\r\n  /**\r\n   * The plugins we want to use\r\n   */\r\n  plugin_decorate,\r\n  plugin_crop,\r\n  plugin_annotate,\r\n\r\n  /**\r\n   * The user interface and plugin locale objects\r\n   */\r\n  locale_en_gb,\r\n  plugin_decorate_locale_en_gb,\r\n\r\n  /**\r\n   * Because we use the annotate plugin we also need to import the markup editor\r\n   * locale\r\n   */\r\n  markup_editor_locale_en_gb,\r\n\r\n  /**\r\n   * Import the default configuration for the markup editor and finetune\r\n   * plugins markup_editor_defaults,\r\n   */\r\n  createNode,\r\n  findNode,\r\n  colorStringToColorArray,\r\n  insertNodeBefore,\r\n  insertNodeAfter,\r\n} from 'pintura';\r\n\r\nimport { PinturaEditor } from '@/components/w2pPintura/PinturaEditor';\r\nimport { useStore as useProductStore } from '@/stores/v2/product';\r\nimport { useStore as useShapeStore } from '@/stores/v2/shape';\r\nimport { useStore as useMirrorStore } from '@/stores/v2/mirror';\r\nimport { useStore as useNotificationStore } from '@/stores/v2/notification';\r\nimport { mapState, mapActions } from 'pinia';\r\nimport { lineWidthV2 } from '@/constants/areaLineWidth';\r\nimport { useStore as useHistoryStore } from '@/stores/v2/history';\r\nimport cloneDeep from 'lodash.clonedeep';\r\nimport { createStateSnapshot } from '@/utils/historyHelperV2';\r\nimport { Category } from '@midocean/webapps-shared-domain';\r\nimport {\r\n  generateTargetCoordinates,\r\n  getActivePanelNumber,\r\n} from '@/utils/drawPanelLines';\r\nimport {\r\n  drawPanelSections,\r\n  generatePanelSections,\r\n  updateTargetLines,\r\n} from '@/utils/roundItemsHelper';\r\nimport { generateEventPayloadV2 } from '@/utils/generatePriceParamsEventPayload';\r\n\r\nsetPlugins(plugin_decorate, plugin_crop, plugin_annotate);\r\n\r\nexport default Vue.extend({\r\n  name: 'W2pPintura',\r\n  components: {\r\n    PinturaEditor,\r\n  },\r\n  data() {\r\n    return {\r\n      src: require('../../../../assets/resizedCheckerTransparency.png'),\r\n      activeInteractionMode: 'auto',\r\n      util: 'finetune',\r\n      // Our editor custom configuration options\r\n      editorDefaults: {\r\n        imageReader: createDefaultImageReader(),\r\n        imageWriter: createDefaultImageWriter(),\r\n        stickerEnableSelectImage: false,\r\n        // NOTE: To enable the shapes from the annotation array to be selectable try setting this to something different\r\n        annotateActiveTool: 'rectangle',\r\n        // NOTE: To enable the shapes from the annotation array to be selectable try setting this to something different\r\n        utils: ['decorate'],\r\n        decorateTools: [],\r\n        decorateActiveTool: 'move',\r\n        enableToolbar: true,\r\n        enableButtonExport: false,\r\n        enableButtonRevert: false,\r\n        enableNavigateHistory: false,\r\n\r\n        // The icons and labels to use in the user interface (required)\r\n        locale: {\r\n          ...locale_en_gb,\r\n          ...plugin_decorate_locale_en_gb,\r\n          ...markup_editor_locale_en_gb,\r\n        },\r\n        willRenderShapeControls: (controls, _selectedShapeId) => {\r\n          const alphaNode = findNode('beta', controls);\r\n          const shape = this.shapes.find(\r\n            (shape) => shape.id === _selectedShapeId\r\n          );\r\n\r\n          const isTextShape = shape?.w2pText !== undefined;\r\n\r\n          if (isTextShape) {\r\n            alphaNode[3].forEach((tool, index) => {\r\n              alphaNode[3][index] = false;\r\n            });\r\n          }\r\n        },\r\n        willRenderToolbar: (toolbar, env, redraw) => {\r\n          const betaNode = findNode('beta', toolbar);\r\n\r\n          if (\r\n            betaNode[3] &&\r\n            betaNode[3].length > 0 &&\r\n            betaNode[3][1].length > 0\r\n          ) {\r\n            insertNodeBefore(\r\n              createNode('Button', 'button-undo', {\r\n                icon: strUndo24,\r\n                disabled: true,\r\n                title: this.$t('wizard-v2.toolbar.history-back'),\r\n                class: 'button-undo',\r\n                onclick: () => {\r\n                  this.undoHandler();\r\n                },\r\n              }),\r\n              'plugin-tools',\r\n              betaNode[3]\r\n            );\r\n\r\n            insertNodeBefore(\r\n              createNode('Button', 'button-redo', {\r\n                icon: strRedo24,\r\n                disabled: true,\r\n                title: this.$t('wizard-v2.toolbar.history-forward'),\r\n                class: 'button-redo',\r\n                onclick: () => {\r\n                  this.redoHandler();\r\n                },\r\n              }),\r\n              'plugin-tools',\r\n              betaNode[3]\r\n            );\r\n\r\n            insertNodeAfter(\r\n              createNode('Button', 'button-select', {\r\n                icon: strTouch24,\r\n                title: this.$t('wizard-v2.toolbar.pan-mode'),\r\n                onclick: () => {\r\n                  this.activeInteractionMode = 'pan';\r\n                  this.pintura.editor.markupEditorInteractionMode = 'pan';\r\n                },\r\n              }),\r\n              'plugin-tools',\r\n              betaNode[3]\r\n            );\r\n\r\n            insertNodeAfter(\r\n              createNode('Button', 'button-pan', {\r\n                icon: strCursor24,\r\n                title: this.$t('wizard-v2.toolbar.select-mode'),\r\n                onclick: () => {\r\n                  this.activeInteractionMode = 'auto';\r\n                  this.pintura.editor.markupEditorInteractionMode = 'auto';\r\n                },\r\n              }),\r\n              'plugin-tools',\r\n              betaNode[3]\r\n            );\r\n          }\r\n\r\n          return [...toolbar];\r\n        },\r\n        willRenderCanvas: (shapes, state) => {\r\n          const { selectionRect } = state;\r\n\r\n          if (this.selectedPrintPosition.id) {\r\n            this.$emit('pintura:selection', selectionRect);\r\n          }\r\n          return shapes;\r\n        },\r\n      },\r\n    };\r\n  },\r\n\r\n  computed: {\r\n    ...mapState(useProductStore, [\r\n      'activePosition',\r\n      'selectedPrintPosition',\r\n      'getProductPrintPosition',\r\n      'setPanelPosition',\r\n      'centerCoordinatesOfPanels',\r\n      'panelsPositions',\r\n    ]),\r\n    ...mapState(useShapeStore, [\r\n      'positionShapes',\r\n      'shapes',\r\n      'shapeById',\r\n      'activeShapeId',\r\n    ]),\r\n    ...mapState(useMirrorStore, ['getActiveMirrorShapes']),\r\n    ...mapState(useHistoryStore, ['isUndoPossible', 'isRedoPossible']),\r\n\r\n    positionAreaAnnotation() {\r\n      if (this.activePosition && this.activePosition.printArea) {\r\n        if (this.activePosition.printArea.shapeType === 'Rectangle') {\r\n          const {\r\n            x,\r\n            y,\r\n            width,\r\n            height,\r\n            rotation,\r\n            isLanyard,\r\n            distanceOfMirrorPx,\r\n          } = this.printPositionArea(this.activePosition.id, true);\r\n\r\n          if (isLanyard) {\r\n            return [\r\n              {\r\n                id: this.activePosition.id,\r\n                strokeColor: colorStringToColorArray('rgba(36, 161, 72, 1)'),\r\n                strokeWidth: `${lineWidthV2}%`,\r\n                rotation,\r\n                x,\r\n                y,\r\n                width,\r\n                height,\r\n              },\r\n              {\r\n                id: this.activePosition.id,\r\n                strokeColor: colorStringToColorArray('rgba(36, 161, 72, 1)'),\r\n                strokeWidth: `${lineWidthV2}%`,\r\n                rotation,\r\n                x,\r\n                y: y + distanceOfMirrorPx,\r\n                width,\r\n                height,\r\n              },\r\n            ];\r\n          } else if (this.activePosition.category === Category.RoundItem) {\r\n            const annotationShapes = [];\r\n\r\n            annotationShapes.push(\r\n              ...drawPanelSections(this.activePosition, y, height)\r\n            );\r\n            this.centerCoordinatesOfPanels.forEach((element) => {\r\n              annotationShapes.push(element);\r\n            });\r\n\r\n            return [\r\n              ...annotationShapes,\r\n              {\r\n                id: this.activePosition.id,\r\n                strokeColor: colorStringToColorArray('rgba(36, 161, 72, 1)'),\r\n                strokeWidth: `${lineWidthV2}%`,\r\n                rotation,\r\n                x,\r\n                y,\r\n                width,\r\n                height,\r\n                dashedLine: [10, 10],\r\n                lineDash: [10, 10],\r\n              },\r\n            ];\r\n          } else {\r\n            return [\r\n              {\r\n                id: this.activePosition.id,\r\n                strokeColor: colorStringToColorArray('rgba(36, 161, 72, 1)'),\r\n                strokeWidth: `${lineWidthV2}%`,\r\n                rotation,\r\n                x,\r\n                y,\r\n                width,\r\n                height,\r\n                dashedLine: [10, 10],\r\n                lineDash: [10, 10],\r\n              },\r\n            ];\r\n          }\r\n        }\r\n\r\n        if (this.activePosition.printArea.shapeType === 'Ellipse') {\r\n          const { x, y, rx, ry, rotation } = this.printPositionArea(\r\n            this.activePosition.id,\r\n            true\r\n          );\r\n\r\n          return [\r\n            {\r\n              id: this.activePosition.id,\r\n              strokeColor: colorStringToColorArray('rgba(36, 161, 72, 1)'),\r\n              strokeWidth: `${lineWidthV2}%`,\r\n              rotation,\r\n              x,\r\n              y,\r\n              rx,\r\n              ry,\r\n            },\r\n          ];\r\n        }\r\n\r\n        if (this.activePosition.printArea.shapeType === 'Polygon') {\r\n          const { points } = this.printPositionArea(\r\n            this.activePosition.id,\r\n            true\r\n          );\r\n\r\n          return [\r\n            {\r\n              id: this.activePosition.id,\r\n              strokeColor: colorStringToColorArray('rgba(36, 161, 72, 1)'),\r\n              strokeWidth: `${lineWidthV2}%`,\r\n              rotation: 0,\r\n              points,\r\n            },\r\n          ];\r\n        }\r\n      }\r\n\r\n      return [];\r\n    },\r\n\r\n    activePositionShapes() {\r\n      if (this.activePosition && this.activePosition.id) {\r\n        return [\r\n          ...this.positionShapes(this.activePosition.id),\r\n          ...this.getActiveMirrorShapes(),\r\n        ];\r\n      } else {\r\n        return [];\r\n      }\r\n    },\r\n  },\r\n\r\n  watch: {\r\n    isUndoPossible(newValue) {\r\n      const subtarget = document.querySelector('w2p-import-wizard-wrapper');\r\n      const element =\r\n        subtarget && subtarget.shadowRoot\r\n          ? subtarget.shadowRoot.querySelector('.button-undo')\r\n          : document.querySelector('.button-undo');\r\n      if (element) {\r\n        element.disabled = !newValue;\r\n      }\r\n    },\r\n    isRedoPossible(newValue) {\r\n      const subtarget = document.querySelector('w2p-import-wizard-wrapper');\r\n      const element =\r\n        subtarget && subtarget.shadowRoot\r\n          ? subtarget.shadowRoot.querySelector('.button-redo')\r\n          : document.querySelector('.button-redo');\r\n      if (element) {\r\n        element.disabled = !newValue;\r\n      }\r\n    },\r\n    activePosition() {\r\n      if (!this.activePosition || !this.activePosition.id) return;\r\n\r\n      const { x, y, width, height } = this.printPositionArea(\r\n        this.activePosition.id,\r\n        true\r\n      );\r\n      this.setPanelsPositions([\r\n        x,\r\n        ...generatePanelSections(this.activePosition),\r\n        x + width,\r\n      ]);\r\n      for (let index = 0; index < this.panelsPositions.length; index++) {\r\n        if (this.panelsPositions[index + 1]) {\r\n          this.setCenterCoordinatesOfPanels([\r\n            ...this.centerCoordinatesOfPanels,\r\n            ...generateTargetCoordinates(\r\n              this.panelsPositions,\r\n              index,\r\n              height,\r\n              y\r\n            ),\r\n          ]);\r\n        }\r\n      }\r\n    },\r\n  },\r\n\r\n  created() {\r\n    this.$nextTick(() => {\r\n      window.pintura = this.$refs['pinturaEditor'];\r\n      this.pintura = window.pintura;\r\n    });\r\n    /**\r\n     * Clean up editor instance to prevent memory leaks\r\n     */\r\n    this.$once('hook:beforeDestroy', () => {\r\n      window.pintura = undefined;\r\n      this.pintura = undefined;\r\n    });\r\n  },\r\n\r\n  methods: {\r\n    ...mapActions(useProductStore, [\r\n      'printPositionArea',\r\n      'updateProductStateFromSnapshot',\r\n      'area',\r\n      'setCenterCoordinatesOfPanels',\r\n      'setPanelsPositions',\r\n    ]),\r\n    ...mapActions(useShapeStore, [\r\n      'updateShapePosition',\r\n      'deselectShape',\r\n      'checkIsShapeInArea',\r\n      'updateShapeStateFromSnapshot',\r\n      'setSmallDetailsCheckToInvalid2',\r\n    ]),\r\n    ...mapActions(useNotificationStore, [\r\n      'runValidators',\r\n      'updateNotificationStateFromSnapshot',\r\n    ]),\r\n    ...mapActions(useHistoryStore, ['undo', 'redo', 'recordHistory']),\r\n    ...mapActions(useMirrorStore, [\r\n      'updateMirrorStateFromSnapshot',\r\n      'updateMirrorShape',\r\n    ]),\r\n\r\n    updateShape(current) {\r\n      /**\r\n       * UPDATE shape x, y, rotation\r\n       */\r\n\r\n      if (this.activePosition.id) {\r\n        const scaledArea = this.printPositionArea(this.activePosition.id, true);\r\n        const productArea = this.activePosition.printArea;\r\n\r\n        this.updateShapePosition(current, scaledArea, productArea);\r\n        this.checkIsShapeInArea(current.id);\r\n        this.runValidators();\r\n\r\n        const activeShape = this.shapeById(this.activeShapeId);\r\n        if (activeShape) {\r\n          this.updateMirrorShape(activeShape);\r\n        }\r\n\r\n        const eventPayload = generateEventPayloadV2();\r\n\r\n        this.$emit('wizard:price-params-changed', {\r\n          productPrintPositions: eventPayload,\r\n        });\r\n\r\n        const snapshot = createStateSnapshot();\r\n        this.recordHistory(snapshot);\r\n      }\r\n    },\r\n\r\n    selectShape(id) {\r\n      this.shapes[0].isSelected = true;\r\n    },\r\n\r\n    beforeSelectShape(current, target) {\r\n      this.$emit('beforeselect-shape', target);\r\n      return true;\r\n    },\r\n\r\n    beforeUpdateShape(shape, props, ctx) {\r\n      if (\r\n        shape.smallDetailsResult &&\r\n        (props.width !== undefined || props.height !== undefined)\r\n      ) {\r\n        this.setSmallDetailsCheckToInvalid2(shape.id);\r\n      }\r\n\r\n      updateTargetLines(\r\n        shape,\r\n        this.centerCoordinatesOfPanels,\r\n        this.panelsPositions\r\n      );\r\n\r\n      const activePanelNumber = getActivePanelNumber(\r\n        shape.x,\r\n        this.panelsPositions\r\n      );\r\n\r\n      const panelX = this.panelsPositions[activePanelNumber - 1];\r\n      const nextPanelPosition = this.panelsPositions[activePanelNumber];\r\n      this.setPanelPosition({\r\n        x: panelX,\r\n        width: nextPanelPosition - panelX,\r\n      });\r\n\r\n      if (props.width !== undefined) {\r\n        // min 1px\r\n        // prevent logo from disappearing\r\n        // keep aspect ratio\r\n        props.width = props.width < 1 ? 1 : props.width;\r\n        props.height = props.width === 1 ? shape.height : props.height;\r\n      }\r\n\r\n      if (props.height !== undefined) {\r\n        // min 1px\r\n        // prevent logo from disappearing\r\n        // keep aspect ratio\r\n        props.height = props.height < 1 ? 1 : props.height;\r\n        props.width = props.height === 1 ? shape.width : props.width;\r\n      }\r\n\r\n      const limit = limitToContextWithCorrectionFactor(\r\n        ctx,\r\n        undefined, // use default offset\r\n        props,\r\n        shape\r\n      );\r\n\r\n      /**app\r\n       * *** SPECIAL: In case we get a rotation property inside props -\r\n       * Here x and y aren't set at all, so we need to return the orginal back\r\n       * without any modification\r\n       *\r\n       * VERY IMPORTANT:\r\n       * Bear in mind props will be of a different shape, depending on action\r\n       * being performed\r\n       */\r\n      const rotation = ((shape.rotation * 180) / Math.PI) % 360;\r\n      if ((rotation !== 0 && rotation !== 180) || props.rotation) {\r\n        return props;\r\n      }\r\n\r\n      this.$emit('beforeupdate-shape', shape);\r\n\r\n      /**\r\n       * Otherwise apply limitation to x and y\r\n       * cases like scaling and moving operations\r\n       */\r\n      return {\r\n        ...props,\r\n        x: limit.x,\r\n        y: limit.y,\r\n      };\r\n    },\r\n\r\n    beforeDeselectShape(current, target) {\r\n      this.deselectShape();\r\n      return true;\r\n    },\r\n\r\n    beforeRemoveShape(shape) {\r\n      return true;\r\n    },\r\n\r\n    undoHandler() {\r\n      const stateSnapshot = this.undo();\r\n\r\n      if (stateSnapshot) {\r\n        if (stateSnapshot.productState !== undefined) {\r\n          this.updateProductStateFromSnapshot(\r\n            cloneDeep(stateSnapshot.productState)\r\n          );\r\n        }\r\n\r\n        if (stateSnapshot.shapeState !== undefined) {\r\n          this.updateShapeStateFromSnapshot(\r\n            cloneDeep(stateSnapshot.shapeState)\r\n          );\r\n        }\r\n\r\n        if (stateSnapshot.notificationState !== undefined) {\r\n          this.updateNotificationStateFromSnapshot(\r\n            cloneDeep(stateSnapshot.notificationState)\r\n          );\r\n        }\r\n\r\n        if (stateSnapshot.mirrorState !== undefined) {\r\n          this.updateMirrorStateFromSnapshot(\r\n            cloneDeep(stateSnapshot.mirrorState)\r\n          );\r\n        }\r\n\r\n        const eventPayload = generateEventPayloadV2();\r\n        this.$emit('wizard:price-params-changed', {\r\n          productPrintPositions: eventPayload,\r\n        });\r\n      }\r\n    },\r\n\r\n    redoHandler() {\r\n      const stateSnapshot = this.redo();\r\n\r\n      if (stateSnapshot) {\r\n        if (stateSnapshot.productState !== undefined) {\r\n          this.updateProductStateFromSnapshot(\r\n            cloneDeep(stateSnapshot.productState)\r\n          );\r\n        }\r\n\r\n        if (stateSnapshot.shapeState !== undefined) {\r\n          this.updateShapeStateFromSnapshot(\r\n            cloneDeep(stateSnapshot.shapeState)\r\n          );\r\n        }\r\n\r\n        if (stateSnapshot.notificationState !== undefined) {\r\n          this.updateNotificationStateFromSnapshot(\r\n            cloneDeep(stateSnapshot.notificationState)\r\n          );\r\n        }\r\n\r\n        if (stateSnapshot.mirrorState !== undefined) {\r\n          this.updateMirrorStateFromSnapshot(\r\n            cloneDeep(stateSnapshot.mirrorState)\r\n          );\r\n        }\r\n\r\n        const eventPayload = generateEventPayloadV2();\r\n        this.$emit('wizard:price-params-changed', {\r\n          productPrintPositions: eventPayload,\r\n        });\r\n      }\r\n    },\r\n  },\r\n});\r\n</script>\r\n\r\n<style lang=\"scss\">\r\n@import '../../../../styles/_carbon-utils';\r\n@import '../../../../styles/carbon-overrides.scss';\r\n@import '../../../../../node_modules/pintura/pintura.css';\r\n\r\n@import url('https://fonts.googleapis.com/css2?family=Roboto:ital,wght@0,300;0,400;0,700;1,400&display=swap');\r\n\r\n#root {\r\n  position: relative;\r\n  height: 100%;\r\n\r\n  #header {\r\n    position: relative;\r\n  }\r\n}\r\n\r\n.pintura-editor {\r\n  --color-background: 244, 244, 244;\r\n  --font-family: 'Roboto', sans-serif;\r\n  --font-size: 16px;\r\n}\r\n\r\n.PinturaRoot {\r\n  padding-top: 0;\r\n  background: #e0e0e0 !important ;\r\n}\r\n.PinturaRoot[data-env~='landscape'] > .PinturaNavTools {\r\n  justify-content: left;\r\n}\r\n.CustomTabList {\r\n  display: none;\r\n  background: #f4f4f4;\r\n\r\n  .PinturaButton {\r\n    width: 3rem;\r\n    height: 3rem;\r\n    border: none;\r\n    padding: 0.1rem;\r\n    margin: 0;\r\n  }\r\n}\r\n.PinturaRoot[data-env~='landscape'] > .PinturaNavMain {\r\n  display: none;\r\n}\r\n.PinturaRoot .PinturaEditorOverlay {\r\n  background-color: rgba(0, 0, 0, 0.6);\r\n}\r\n.custom-shape-control.PinturaButtonIconOnly {\r\n  width: 2.3em;\r\n  height: 2.3em;\r\n  svg {\r\n    fill: white;\r\n  }\r\n}\r\n.custom-bring-to-front.PinturaButtonIconOnly {\r\n  svg {\r\n    width: 80%;\r\n  }\r\n}\r\n\r\n.import-wizard-v2 .PinturaUtilMain {\r\n  padding-top: 80px;\r\n}\r\n\r\n.import-wizard-v2 .PinturaRoot .PinturaNavGroup {\r\n  margin-top: 20px;\r\n}\r\n</style>\r\n\r\n<style lang=\"scss\">\r\n.pintura-sticker-editor {\r\n  --editor-modal-overlay-opacity: 0.65;\r\n  --editor-modal-border-radius: 1.5rem;\r\n  --editor-max-width: 48%;\r\n  --editor-max-height: 50%;\r\n}\r\n</style>\r\n","import mod from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--13-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./W2PPintura.vue?vue&type=script&lang=js\"; export default mod; export * from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--13-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./W2PPintura.vue?vue&type=script&lang=js\"","import { render, staticRenderFns } from \"./W2PPintura.vue?vue&type=template&id=6fe1c071\"\nimport script from \"./W2PPintura.vue?vue&type=script&lang=js\"\nexport * from \"./W2PPintura.vue?vue&type=script&lang=js\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./W2PPintura.vue?vue&type=style&index=0&id=6fe1c071&prod&lang=scss\")\nif (style0.__inject__) style0.__inject__(context)\nvar style1 = require(\"./W2PPintura.vue?vue&type=style&index=1&id=6fe1c071&prod&lang=scss\")\nif (style1.__inject__) style1.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  null,\n  null\n  ,true\n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('div',{staticClass:\"d-flex-column-center-justify h-100\"},[_c('div',{staticClass:\"actions-panel\"},[_c('icon-text-button',{class:{ 'actions-panel__active': _vm.activePanel === _vm.HOME_PANEL },attrs:{\"text\":_vm.$t('wizard-v2.common.home'),\"kind\":'icon',\"button\":_vm.Home16},on:{\"button:clicked\":function($event){return _vm.$emit('button:clicked', _vm.HOME_PANEL)}}}),_c('icon-text-button',{class:{ 'actions-panel__active': _vm.activePanel === _vm.IMAGE_PANEL },attrs:{\"text\":_vm.$t('wizard-v2.common.image'),\"kind\":'icon',\"button\":_vm.Image16},on:{\"button:clicked\":function($event){return _vm.$emit('button:clicked', _vm.IMAGE_PANEL)}}}),_c('icon-text-button',{class:{ 'actions-panel__active': _vm.activePanel === _vm.TEXT_PANEL },attrs:{\"text\":_vm.$t('wizard-v2.common.text'),\"kind\":'icon',\"button\":_vm.TextCreation16},on:{\"button:clicked\":function($event){return _vm.$emit('button:clicked', _vm.TEXT_PANEL)}}}),(_vm.activePosition.category === 'Lanyard')?_c('icon-text-button',{class:{ 'actions-panel__active': _vm.activePanel === _vm.LANYARDS_PANEL },attrs:{\"text\":_vm.$t('wizard-v2.common.lanyards'),\"kind\":'lanyard',\"button\":_vm.TextCreation16},on:{\"button:clicked\":function($event){return _vm.$emit('button:clicked', _vm.LANYARDS_PANEL)}}}):_vm._e()],1),_c('icon-text-button',{ref:\"step6\",attrs:{\"id\":\"step6\",\"text\":_vm.$t('wizard-v2.common.help'),\"kind\":'icon',\"button\":_vm.Help16},on:{\"button:clicked\":function($event){return _vm.$emit('button:help')}}})],1)\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","/**\n * Copyright IBM Corp. 2019, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nimport { c as createSVGComponent } from '../utils-9450cd75.js';\nimport '@carbon/icon-helpers';\nimport 'vue';\n\nconst Home16 = createSVGComponent('Home16', {\n  \"xmlns\": \"http://www.w3.org/2000/svg\",\n  \"viewBox\": \"0 0 32 32\",\n  \"fill\": \"currentColor\",\n  \"width\": 16,\n  \"height\": 16\n}, [{\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M16.6123,2.2138a1.01,1.01,0,0,0-1.2427,0L1,13.4194l1.2427,1.5717L4,13.6209V26a2.0041,2.0041,0,0,0,2,2H26a2.0037,2.0037,0,0,0,2-2V13.63L29.7573,15,31,13.4282ZM18,26H14V18h4Zm2,0V18a2.0023,2.0023,0,0,0-2-2H14a2.002,2.002,0,0,0-2,2v8H6V12.0615l10-7.79,10,7.8005V26Z\"\n  }\n}]);\n\nexport { Home16 as default };\n","/**\n * Copyright IBM Corp. 2019, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nimport { c as createSVGComponent } from '../utils-9450cd75.js';\nimport '@carbon/icon-helpers';\nimport 'vue';\n\nconst Help16 = createSVGComponent('Help16', {\n  \"xmlns\": \"http://www.w3.org/2000/svg\",\n  \"viewBox\": \"0 0 16 16\",\n  \"fill\": \"currentColor\",\n  \"width\": 16,\n  \"height\": 16\n}, [{\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M8,1C4.1,1,1,4.1,1,8s3.1,7,7,7s7-3.1,7-7S11.9,1,8,1z M8,14c-3.3,0-6-2.7-6-6s2.7-6,6-6s6,2.7,6,6S11.3,14,8,14z\"\n  }\n}, {\n  \"elem\": \"circle\",\n  \"attrs\": {\n    \"cx\": \"8\",\n    \"cy\": \"11.8\",\n    \"r\": \".8\"\n  }\n}, {\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M8.5,4H7.8C6.5,4,5.5,5,5.5,6.2c0,0,0,0,0,0v0.2h1V6.2C6.5,5.6,7.1,5,7.8,5h0.8c0.7,0,1.2,0.6,1.2,1.2S9.2,7.5,8.5,7.5h-1\\tv2.2h1V8.5c1.2,0,2.2-1,2.2-2.2S9.7,4,8.5,4z\"\n  }\n}]);\n\nexport { Help16 as default };\n","var render = function render(){var _vm=this,_c=_vm._self._c;return _c('div',[_c('div',{class:`icon-text-button ${_vm.customClass}`,attrs:{\"title\":_vm.tooltip},on:{\"click\":function($event){return _vm.$emit('button:clicked')}}},[(_vm.kind == 'icon' || _vm.kind == 'ghost')?_c(_vm.button,{tag:\"component\",staticClass:\"icon-size\"}):_vm._e(),(_vm.kind == 'lanyard')?_c('img',{attrs:{\"src\":require('../../../../assets/lanyard-icon-trim.png'),\"width\":16,\"height\":32}}):_vm._e(),_c('span',{staticClass:\"text\"},[_vm._v(_vm._s(_vm.text))])],1)])\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","<template>\r\n  <div>\r\n    <div\r\n      :class=\"`icon-text-button ${customClass}`\"\r\n      :title=\"tooltip\"\r\n      @click=\"$emit('button:clicked')\"\r\n    >\r\n      <component\r\n        :is=\"button\"\r\n        v-if=\"kind == 'icon' || kind == 'ghost'\"\r\n        class=\"icon-size\"\r\n      />\r\n      <img\r\n        v-if=\"kind == 'lanyard'\"\r\n        :src=\"require('../../../../assets/lanyard-icon-trim.png')\"\r\n        :width=\"16\"\r\n        :height=\"32\"\r\n      />\r\n      <span class=\"text\">{{ text }}</span>\r\n    </div>\r\n  </div>\r\n</template>\r\n<script>\r\nimport { CvIconButton } from '@carbon/vue';\r\nimport Vue, { PropType } from 'vue';\r\n\r\nexport default {\r\n  components: {\r\n    CvIconButton,\r\n  },\r\n  props: {\r\n    text: {\r\n      type: String,\r\n      required: false,\r\n    },\r\n    tooltip: {\r\n      type: String,\r\n      default: '',\r\n    },\r\n    kind: {\r\n      type: String,\r\n      required: false,\r\n      default: 'ghost',\r\n    },\r\n    button: {\r\n      type: Object,\r\n      required: true,\r\n    },\r\n    customClass: {\r\n      type: String,\r\n      default: '',\r\n    },\r\n  },\r\n};\r\n</script>\r\n<style lang=\"scss\">\r\n.icon-text-flex-column {\r\n  flex-direction: column;\r\n}\r\n.icon-text-flex-row {\r\n  flex-direction: row;\r\n}\r\n\r\n.icon-size {\r\n  width: 20px;\r\n  height: 20px;\r\n}\r\n\r\n.text {\r\n  margin-top: 3px;\r\n}\r\n.icon-text-button {\r\n  display: flex;\r\n  align-items: center;\r\n  justify-content: center;\r\n  border: 1px solid #e0e0e0;\r\n  flex-direction: column;\r\n  width: 60px;\r\n  height: 60px;\r\n\r\n  &-icon {\r\n    overflow: hidden !important;\r\n    &:hover {\r\n      background: #e0e0e0;\r\n    }\r\n  }\r\n\r\n  &:hover {\r\n    cursor: pointer;\r\n    background: #e0e0e0;\r\n  }\r\n}\r\n</style>\r\n<style scoped>\r\n.cv-button:hover {\r\n  outline: none !important;\r\n  background: #e0e0e0 !important;\r\n  border: none !important;\r\n}\r\n\r\n.cv-button:focus {\r\n  outline: none !important;\r\n  background: #e0e0e0 !important;\r\n  border: none !important;\r\n}\r\n\r\n.cv-button:active {\r\n  outline: none !important;\r\n  background: #e0e0e0 !important;\r\n  border: none !important;\r\n}\r\n</style>\r\n","import mod from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--13-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./IconTextButton.vue?vue&type=script&lang=js\"; export default mod; export * from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--13-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./IconTextButton.vue?vue&type=script&lang=js\"","import { render, staticRenderFns } from \"./IconTextButton.vue?vue&type=template&id=78b1d6a6&scoped=true\"\nimport script from \"./IconTextButton.vue?vue&type=script&lang=js\"\nexport * from \"./IconTextButton.vue?vue&type=script&lang=js\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./IconTextButton.vue?vue&type=style&index=0&id=78b1d6a6&prod&lang=scss\")\nif (style0.__inject__) style0.__inject__(context)\nvar style1 = require(\"./IconTextButton.vue?vue&type=style&index=1&id=78b1d6a6&prod&scoped=true&lang=css\")\nif (style1.__inject__) style1.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  \"78b1d6a6\",\n  null\n  ,true\n)\n\nexport default component.exports","\r\nimport Vue, { PropType } from 'vue';\r\nimport { mapState } from 'pinia';\r\nimport Home16 from '@carbon/icons-vue/es/home/16';\r\nimport Image16 from '@carbon/icons-vue/es/image/16';\r\nimport Help16 from '@carbon/icons-vue/es/help/16';\r\nimport TextCreation16 from '@carbon/icons-vue/es/text--creation/16';\r\nimport IconTextButton from '../Buttons/IconTextButton.vue';\r\nimport {\r\n  HOME_PANEL,\r\n  IMAGE_PANEL,\r\n  TEXT_PANEL,\r\n  LANYARDS_PANEL,\r\n} from '../../constants';\r\nimport { useStore as useProductStore } from '@/stores/v2/product';\r\n\r\nexport default Vue.extend({\r\n  name: 'ActionsToolbar',\r\n\r\n  components: { IconTextButton },\r\n\r\n  props: {\r\n    activePanel: {\r\n      type: String,\r\n      required: false,\r\n      default: HOME_PANEL,\r\n    },\r\n  },\r\n\r\n  data() {\r\n    return {\r\n      Home16: Home16,\r\n      Image16: Image16,\r\n      TextCreation16: TextCreation16,\r\n      Help16: Help16,\r\n      HOME_PANEL: HOME_PANEL,\r\n      IMAGE_PANEL: IMAGE_PANEL,\r\n      TEXT_PANEL: TEXT_PANEL,\r\n      LANYARDS_PANEL: LANYARDS_PANEL,\r\n    };\r\n  },\r\n  computed: {\r\n    ...mapState(useProductStore, ['activePosition']),\r\n  },\r\n});\r\n","import mod from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./ActionsToolbar.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./ActionsToolbar.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./ActionsToolbar.vue?vue&type=template&id=148e3d02&scoped=true\"\nimport script from \"./ActionsToolbar.vue?vue&type=script&lang=ts\"\nexport * from \"./ActionsToolbar.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./ActionsToolbar.vue?vue&type=style&index=0&id=148e3d02&prod&lang=scss&scoped=true\")\nif (style0.__inject__) style0.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  \"148e3d02\",\n  null\n  ,true\n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('cv-header',{attrs:{\"aria-label\":\"pintura-header\"}},[_c('icon-text-button',{attrs:{\"button\":_vm.ArrowLeft20,\"label\":_vm.buttonLabel,\"custom-class\":'back-button',\"tooltip\":_vm.$t('wizard-v2.header.tooltip')},on:{\"button:clicked\":_vm.sendEvent}}),_c('cv-header-name',[_c('span',{staticClass:\"title__sku\"},[_vm._v(_vm._s(_vm.productName)+\" \")]),_c('span',{staticClass:\"sep\"},[_vm._v(\"/\")]),_c('span',{staticClass:\"title__main\"},[_vm._v(_vm._s(_vm.$t('wizard-v2.header.title')))])])],1)\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","\r\nimport Vue, { PropType } from 'vue';\r\nimport { CvHeader, CvHeaderName } from '@carbon/vue';\r\nimport IconTextButton from '../Buttons/IconTextButton.vue';\r\nimport ArrowLeft20 from '@carbon/icons-vue/es/arrow--left/20';\r\n\r\nexport default Vue.extend({\r\n  name: 'WizardHeader',\r\n  components: {\r\n    CvHeader,\r\n    CvHeaderName,\r\n    IconTextButton,\r\n  },\r\n  props: {\r\n    buttonLabel: {\r\n      type: String,\r\n      default: '',\r\n    },\r\n    productName: {\r\n      type: String,\r\n      default: '',\r\n    },\r\n  },\r\n  data() {\r\n    return {\r\n      ArrowLeft20: ArrowLeft20,\r\n    };\r\n  },\r\n  methods: {\r\n    sendEvent() {\r\n      this.$emit('header:back-button-click');\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./Header.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./Header.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./Header.vue?vue&type=template&id=7cea795e&scoped=true\"\nimport script from \"./Header.vue?vue&type=script&lang=ts\"\nexport * from \"./Header.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./Header.vue?vue&type=style&index=0&id=7cea795e&prod&lang=scss&scoped=true\")\nif (style0.__inject__) style0.__inject__(context)\nvar style1 = require(\"./Header.vue?vue&type=style&index=1&id=7cea795e&prod&lang=scss\")\nif (style1.__inject__) style1.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  \"7cea795e\",\n  null\n  ,true\n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('div',[_vm._v(\"Panel\")])\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","\r\nimport Vue, { PropType } from 'vue';\r\n\r\nexport default Vue.extend({\r\n  name: 'Panel',\r\n});\r\n","import mod from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./Panel.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./Panel.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./Panel.vue?vue&type=template&id=6e5850fb&scoped=true\"\nimport script from \"./Panel.vue?vue&type=script&lang=ts\"\nexport * from \"./Panel.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  \n}\n\n/* normalize component */\nimport normalizer from \"!../../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  \"6e5850fb\",\n  null\n  ,true\n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('div',{staticClass:\"text-panel\"},[_c('p',{staticClass:\"text-panel__title\"},[_vm._v(_vm._s(_vm.$t('wizard-v2.toolbar.quick-actions')))]),_c('div',{staticClass:\"text-panel__actions\"},[_c('icon-text-button',{attrs:{\"text\":_vm.$t('wizard-v2.common.add'),\"kind\":'icon',\"button\":_vm.Add24,\"disabled\":_vm.addDisabled,\"custom-class\":_vm.addDisabled ? 'disabled' : ''},on:{\"button:clicked\":function($event){return _vm.$emit('action:add')}}}),_c('icon-text-button',{attrs:{\"text\":_vm.$t('wizard-v2.common.duplicate'),\"kind\":'icon',\"button\":_vm.Copy24,\"custom-class\":_vm.deleteDisabled ? 'disabled' : '',\"disabled\":_vm.deleteDisabled},on:{\"button:clicked\":function($event){_vm.deleteDisabled ? () => {} : _vm.$emit('action:duplicate')}}}),_c('icon-text-button',{attrs:{\"text\":_vm.$t('wizard-v2.common.delete'),\"kind\":'icon',\"button\":_vm.TrashCan24,\"custom-class\":_vm.deleteDisabled ? 'disabled' : '',\"disabled\":_vm.deleteDisabled},on:{\"button:clicked\":function($event){_vm.deleteDisabled ? () => {} : _vm.$emit('action:delete')}}})],1)])\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","/**\n * Copyright IBM Corp. 2019, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nimport { c as createSVGComponent } from '../utils-9450cd75.js';\nimport '@carbon/icon-helpers';\nimport 'vue';\n\nconst Add24 = createSVGComponent('Add24', {\n  \"xmlns\": \"http://www.w3.org/2000/svg\",\n  \"viewBox\": \"0 0 32 32\",\n  \"fill\": \"currentColor\",\n  \"width\": 24,\n  \"height\": 24\n}, [{\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M17 15L17 8 15 8 15 15 8 15 8 17 15 17 15 24 17 24 17 17 24 17 24 15z\"\n  }\n}]);\n\nexport { Add24 as default };\n","/**\n * Copyright IBM Corp. 2019, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nimport { c as createSVGComponent } from '../utils-9450cd75.js';\nimport '@carbon/icon-helpers';\nimport 'vue';\n\nconst Copy16 = createSVGComponent('Copy16', {\n  \"xmlns\": \"http://www.w3.org/2000/svg\",\n  \"viewBox\": \"0 0 32 32\",\n  \"fill\": \"currentColor\",\n  \"width\": 16,\n  \"height\": 16\n}, [{\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M28,10V28H10V10H28m0-2H10a2,2,0,0,0-2,2V28a2,2,0,0,0,2,2H28a2,2,0,0,0,2-2V10a2,2,0,0,0-2-2Z\"\n  }\n}, {\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M4,18H2V4A2,2,0,0,1,4,2H18V4H4Z\"\n  }\n}]);\n\nexport { Copy16 as default };\n","\r\nimport Vue from 'vue';\r\nimport Add24 from '@carbon/icons-vue/es/add/24';\r\nimport TrashCan24 from '@carbon/icons-vue/es/trash-can/16';\r\nimport Copy24 from '@carbon/icons-vue/es/copy/16';\r\nimport IconTextButton from '../Buttons/IconTextButton.vue';\r\n\r\nexport default Vue.extend({\r\n  name: 'ActionsPanel',\r\n  components: {\r\n    IconTextButton,\r\n  },\r\n  props: {\r\n    deleteDisabled: Boolean,\r\n    addDisabled: Boolean,\r\n  },\r\n  data() {\r\n    return {\r\n      Add24: Add24,\r\n      TrashCan24: TrashCan24,\r\n      Copy24: Copy24,\r\n    };\r\n  },\r\n});\r\n","import mod from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./ActionsPanel.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./ActionsPanel.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./ActionsPanel.vue?vue&type=template&id=90b8cca0&scoped=true\"\nimport script from \"./ActionsPanel.vue?vue&type=script&lang=ts\"\nexport * from \"./ActionsPanel.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./ActionsPanel.vue?vue&type=style&index=0&id=90b8cca0&prod&lang=scss&scoped=true\")\nif (style0.__inject__) style0.__inject__(context)\nvar style1 = require(\"./ActionsPanel.vue?vue&type=style&index=1&id=90b8cca0&prod&lang=scss\")\nif (style1.__inject__) style1.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  \"90b8cca0\",\n  null\n  ,true\n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('div',[_c('actions-panel',{attrs:{\"delete-disabled\":!_vm.activeShapeId,\"add-disabled\":!_vm.isAnyPositionAdded},on:{\"action:add\":_vm.initializeTextBox,\"action:delete\":_vm.removeTextBox,\"action:duplicate\":_vm.duplicateTextBox}}),(_vm.activeShapeId)?_c('div',{staticClass:\"text-panel-options\"},[_c('div',{staticClass:\"text-panel-options__text-option\"},[_c('cv-text-area',{staticClass:\"text-panel-options__text\",attrs:{\"label\":_vm.$t('wizard-v2.text-options.text-input'),\"value\":_vm.attributes.text,\"placeholder\":_vm.$t('wizard-v2.text-options.write-your-text-here')},on:{\"input\":(input) => (_vm.attributes.text = input)}})],1),_c('cv-accordion',{staticClass:\"text-panel-options__text-style\",attrs:{\"align\":'end'}},[_c('cv-accordion-item',{scopedSlots:_vm._u([{key:\"title\",fn:function(){return [_vm._v(_vm._s(_vm.$t('wizard-v2.text-options.text-style')))]},proxy:true},{key:\"content\",fn:function(){return [_c('div',{staticClass:\"text-panel-options__option\"},[_c('label',{staticClass:\"text-panel-options__option--label\"},[_vm._v(_vm._s(_vm.$t('wizard-v2.text-options.font')))]),_c('div',{staticClass:\"d-flex\"},[_c('cv-dropdown',{staticClass:\"font-family-dropdown\",attrs:{\"value\":_vm.attributes.fontFamily},on:{\"change\":(id) => {\n                    _vm.updateFontFamilyAttribute(id);\n                  }}},_vm._l((_vm.fontList),function(item){return _c('cv-dropdown-item',{key:item.id,attrs:{\"value\":item.label}},[_c('div',{style:({ 'font-family': item.label })},[_vm._v(\" \"+_vm._s(item.label)+\" \")])])}),1)],1)]),_c('div',{staticClass:\"text-panel-options__option\"},[_c('label',{staticClass:\"text-panel-options__option--label\"},[_vm._v(_vm._s(_vm.$t('wizard-v2.text-options.size')))]),_c('cv-dropdown',{staticClass:\"font-size-dropdown\",attrs:{\"value\":_vm.attributes.fontSizePT.toString(),\"selected\":_vm.attributes.fontSizePT.toString()},on:{\"change\":(id) => {\n                  _vm.updateFontSizeAttribute(id);\n                }}},_vm._l((_vm.fontSizesList),function(item){return _c('cv-dropdown-item',{key:item.label.toString(),attrs:{\"value\":item.label.toString()}},[_vm._v(\" \"+_vm._s(item.label)+\" \")])}),1)],1),_c('divider'),_c('div',{staticClass:\"text-panel-options__option none-border\"},[_c('label',{staticClass:\"text-panel-options__option--label\"},[_vm._v(_vm._s(_vm.$t('wizard-v2.text-options.effect')))]),_c('div',_vm._l((['bold', 'italic']),function(variant){return _c('cv-icon-button',{key:variant,style:({\n                  'margin-left': variant === 'italic' ? '10px' : '',\n                }),attrs:{\"kind\":(_vm.attributes.fontWeight === 'bold' && variant === 'bold') ||\n                  (_vm.attributes.fontStyle === 'italic' && variant === 'italic')\n                    ? 'secondary'\n                    : 'tertiary',\"tip-position\":\"bottom\",\"tip-alignment\":\"center\",\"size\":\"sm\"},on:{\"click\":function($event){return _vm.setFontWeightOrStyle(variant)}},scopedSlots:_vm._u([{key:\"icon\",fn:function(){return [_c(`text-${variant}-16`,{tag:\"component\"})]},proxy:true}],null,true)})}),1)]),_c('divider'),_c('div',{staticClass:\"text-panel-options__option\"},[_c('label',{staticClass:\"text-panel-options__option--label\"},[_vm._v(_vm._s(_vm.$t('wizard-v2.text-options.align')))]),_c('div',{style:({ color: 'white' }),attrs:{\"id\":\"submenu--align\"}},[_c('div',{staticClass:\"text-panel-options__option--button\"},_vm._l(([\n                    'align-left',\n                    'align-center',\n                    'align-right',\n                  ]),function(icon,index){return _c('cv-icon-button',{key:index,attrs:{\"tip-position\":\"bottom\",\"tip-alignment\":\"center\",\"kind\":(_vm.attributes.textAlign === 'left' &&\n                      icon === 'align-left') ||\n                    (_vm.attributes.textAlign === 'right' &&\n                      icon === 'align-right') ||\n                    (_vm.attributes.textAlign === 'center' &&\n                      icon === 'align-center')\n                      ? 'secondary'\n                      : 'tertiary',\"size\":\"sm\"},on:{\"click\":function($event){_vm.attributes.textAlign = icon.slice(6)}},scopedSlots:_vm._u([{key:\"icon\",fn:function(){return [_c(`text-${icon}-16`,{tag:\"component\"})]},proxy:true}],null,true)})}),1)])]),_c('divider'),(!_vm.isLaserConverter() && !_vm.isDebossingTechnique())?_c('div',{staticClass:\"text-panel-options__option\"},[_c('label',{staticClass:\"text-panel-options__option--label\"},[_vm._v(_vm._s(_vm.$t('wizard-v2.common.color')))]),_c('div',{staticClass:\"text-panel-options__option--color-container\"},[_c('color-dropdown',{staticClass:\"color__combobox\",attrs:{\"id\":'color-selector-text',\"theme\":'Light',\"selected-color\":_vm.selectedPmsColor,\"item-list\":_vm.allPmsColors},on:{\"replace-with\":(colorName) => (_vm.attributes.colorName = colorName)}})],1)]):_vm._e()]},proxy:true}],null,false,428884446)})],1),_c('div',{staticClass:\"text-panel-options__insert-button\"},[(!_vm.isEditText)?_c('cv-button',{attrs:{\"kind\":\"secondary\",\"size\":\"sm\",\"icon\":_vm.TextCreation24,\"disabled\":_vm.attributes.text === ''},on:{\"click\":_vm.insertText}},[_vm._v(\" \"+_vm._s(_vm.$t('wizard-v2.text-options.insert-text'))+\" \")]):_c('cv-button',{attrs:{\"kind\":\"primary\",\"icon\":_vm.TextCreation24,\"disabled\":_vm.attributes.text === ''},on:{\"click\":_vm.insertText}},[_vm._v(\" \"+_vm._s(_vm.$t('wizard-v2.text-options.update-text'))+\" \")])],1)],1):_vm._e()],1)\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","/**\n * Copyright IBM Corp. 2019, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nimport { c as createSVGComponent } from '../utils-9450cd75.js';\nimport '@carbon/icon-helpers';\nimport 'vue';\n\nconst TextBold16 = createSVGComponent('TextBold16', {\n  \"xmlns\": \"http://www.w3.org/2000/svg\",\n  \"viewBox\": \"0 0 32 32\",\n  \"fill\": \"currentColor\",\n  \"width\": 16,\n  \"height\": 16\n}, [{\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M18.25,25H9V7h8.5a5.25,5.25,0,0,1,4,8.65A5.25,5.25,0,0,1,18.25,25ZM12,22h6.23a2.25,2.25,0,1,0,0-4.5H12Zm0-7.5h5.5a2.25,2.25,0,1,0,0-4.5H12Z\"\n  }\n}]);\n\nexport { TextBold16 as default };\n","/**\n * Copyright IBM Corp. 2019, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nimport { c as createSVGComponent } from '../utils-9450cd75.js';\nimport '@carbon/icon-helpers';\nimport 'vue';\n\nconst TextItalic16 = createSVGComponent('TextItalic16', {\n  \"xmlns\": \"http://www.w3.org/2000/svg\",\n  \"viewBox\": \"0 0 32 32\",\n  \"fill\": \"currentColor\",\n  \"width\": 16,\n  \"height\": 16\n}, [{\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M25 9L25 7 12 7 12 9 17.14 9 12.77 23 7 23 7 25 20 25 20 23 14.86 23 19.23 9 25 9z\"\n  }\n}]);\n\nexport { TextItalic16 as default };\n","/**\n * Copyright IBM Corp. 2019, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nimport { c as createSVGComponent } from '../utils-9450cd75.js';\nimport '@carbon/icon-helpers';\nimport 'vue';\n\nconst TextAlignLeft16 = createSVGComponent('TextAlignLeft16', {\n  \"xmlns\": \"http://www.w3.org/2000/svg\",\n  \"viewBox\": \"0 0 32 32\",\n  \"fill\": \"currentColor\",\n  \"width\": 16,\n  \"height\": 16\n}, [{\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M12 6H26V8H12zM12 12H22V14H12zM12 18H26V20H12zM12 24H22V26H12zM6 4H8V28H6z\"\n  }\n}]);\n\nexport { TextAlignLeft16 as default };\n","/**\n * Copyright IBM Corp. 2019, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nimport { c as createSVGComponent } from '../utils-9450cd75.js';\nimport '@carbon/icon-helpers';\nimport 'vue';\n\nconst TextAlignCenter16 = createSVGComponent('TextAlignCenter16', {\n  \"xmlns\": \"http://www.w3.org/2000/svg\",\n  \"viewBox\": \"0 0 32 32\",\n  \"fill\": \"currentColor\",\n  \"width\": 16,\n  \"height\": 16\n}, [{\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M6 6H26V8H6zM10 12H22V14H10zM6 18H26V20H6zM10 24H22V26H10z\"\n  }\n}]);\n\nexport { TextAlignCenter16 as default };\n","/**\n * Copyright IBM Corp. 2019, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nimport { c as createSVGComponent } from '../utils-9450cd75.js';\nimport '@carbon/icon-helpers';\nimport 'vue';\n\nconst TextAlignRight16 = createSVGComponent('TextAlignRight16', {\n  \"xmlns\": \"http://www.w3.org/2000/svg\",\n  \"viewBox\": \"0 0 32 32\",\n  \"fill\": \"currentColor\",\n  \"width\": 16,\n  \"height\": 16\n}, [{\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M6 6H20V8H6zM10 12H20V14H10zM6 18H20V20H6zM10 24H20V26H10zM24 4H26V28H24z\"\n  }\n}]);\n\nexport { TextAlignRight16 as default };\n","/**\n * Copyright IBM Corp. 2019, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nimport { c as createSVGComponent } from '../utils-9450cd75.js';\nimport '@carbon/icon-helpers';\nimport 'vue';\n\nconst TextFont16 = createSVGComponent('TextFont16', {\n  \"xmlns\": \"http://www.w3.org/2000/svg\",\n  \"viewBox\": \"0 0 32 32\",\n  \"fill\": \"currentColor\",\n  \"width\": 16,\n  \"height\": 16\n}, [{\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M25 12H20v2h5a1.0008 1.0008 0 011 1v2H22a3.0033 3.0033 0 00-3 3v1a3.0033 3.0033 0 003 3h6V15A3.0033 3.0033 0 0025 12zM22 22a1.0008 1.0008 0 01-1-1V20a1.0008 1.0008 0 011-1h4v3zM16 24h2L12 7H10L4 24H6l1.6936-5h6.6135zM8.3711 17l2.4966-7.3711.2668.0005L13.63 17z\"\n  }\n}]);\n\nexport { TextFont16 as default };\n","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('div',{staticClass:\"container\"},[_c('div',{directives:[{name:\"on-clickaway\",rawName:\"v-on-clickaway\",value:(_vm.onClickAway),expression:\"onClickAway\"}],class:`${\n      _vm.theme == 'Dark'\n        ? _vm.isOpen\n          ? 'toggler-dark--green-outline'\n          : 'toggler-dark'\n        : _vm.isOpen\n        ? 'toggler--green-outline'\n        : 'toggler'\n    }`,on:{\"click\":(e) => _vm.toggleDropdown(e.target.classList)}},[_c('div',{staticClass:\"oval\",class:`${_vm.theme == 'Dark' ? 'oval-dark' : 'oval'}`,style:({\n        backgroundColor: `rgb(${_vm.selectedColor.red}, ${_vm.selectedColor.green}, ${_vm.selectedColor.blue})`,\n      })}),_c('span',{staticClass:\"toggler__label\"},[_vm._v(\" \"+_vm._s(_vm.selectedColor.name)+\" \")]),(!_vm.isOpen)?_c('ChevronDown',{staticClass:\"arrow\"}):_vm._e(),(_vm.isOpen)?_c('ChevronUp',{staticClass:\"arrow\"}):_vm._e()],1),_c('ul',{class:`${_vm.theme == 'Dark' ? 'dropdown-items-dark' : 'dropdown-items'}`,style:({\n      visibility: _vm.isOpen ? 'visible' : 'hidden',\n    }),attrs:{\"tabindex\":\"0\"}},[_c('input',{directives:[{name:\"show\",rawName:\"v-show\",value:(_vm.isOpen),expression:\"isOpen\"},{name:\"model\",rawName:\"v-model\",value:(_vm.inputValue),expression:\"inputValue\"}],ref:\"searchColor\",class:`${\n        _vm.theme == 'Dark'\n          ? 'toggler-dark__search-box dropdown-item-dark'\n          : 'toggler__search-box dropdown-item'\n      }`,attrs:{\"type\":\"text\",\"placeholder\":_vm.$t('sidebar.search-color')},domProps:{\"value\":(_vm.inputValue)},on:{\"input\":function($event){if($event.target.composing)return;_vm.inputValue=$event.target.value}}}),_vm._l((_vm.sortedList),function(c){return _c('li',{key:c.name,class:`${_vm.theme == 'Dark' ? 'dropdown-item-dark' : 'dropdown-item'}`,on:{\"click\":function($event){return _vm.replaceWith(c.name)}}},[_c('div',{class:`${_vm.theme == 'Dark' ? 'oval-dark' : 'oval'}`,style:({\n          backgroundColor: `rgb(${c.red}, ${c.green}, ${c.blue})`,\n        })}),_c('span',{staticClass:\"dropdown-item__name\"},[_vm._v(\" \"+_vm._s(c.name))])])})],2)])\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","\r\nimport Vue from 'vue';\r\nimport ChevronUp from '@carbon/icons-vue/es/chevron--up/16';\r\nimport ChevronDown from '@carbon/icons-vue/es/chevron--down/16';\r\nimport { mixin as clickaway } from 'vue-clickaway';\r\nimport { PmsColor } from '@midocean/webapps-shared-domain';\r\n\r\nexport default Vue.extend({\r\n  name: 'ColorManagement',\r\n  components: {\r\n    ChevronDown,\r\n    ChevronUp,\r\n  },\r\n  props: {\r\n    selectedColor: {\r\n      type: Object as () => PmsColor,\r\n      required: true,\r\n    },\r\n    itemList: {\r\n      type: Array as () => PmsColor[],\r\n      required: true,\r\n    },\r\n    theme: {\r\n      type: String,\r\n      required: false,\r\n    },\r\n  },\r\n  mixins: [clickaway],\r\n  data() {\r\n    return {\r\n      isOpen: false,\r\n      inputValue: this.selectedColor.name,\r\n      sortedList: this.itemList,\r\n    };\r\n  },\r\n  watch: {\r\n    inputValue(newValue) {\r\n      if (this.isOpen) {\r\n        this.sortItems(newValue.toLowerCase());\r\n      }\r\n    },\r\n  },\r\n  methods: {\r\n    toggleDropdown(classList: DOMTokenList) {\r\n      if (!classList.contains('toggler__search-box')) {\r\n        this.isOpen = !this.isOpen;\r\n        if (this.isOpen === false) {\r\n          this.sortedList = this.itemList;\r\n          this.inputValue = this.selectedColor.name;\r\n        } else {\r\n          const searchRef = this.$refs.searchColor as any;\r\n          this.$nextTick(() => searchRef.focus());\r\n          this.inputValue = '';\r\n        }\r\n      }\r\n    },\r\n    onClickAway() {\r\n      this.isOpen = false;\r\n      this.sortedList = this.itemList;\r\n      this.inputValue = this.selectedColor.name;\r\n    },\r\n    sortItems(value: string) {\r\n      this.sortedList = this.itemList.filter((c) =>\r\n        c.name.toLowerCase().includes(value)\r\n      );\r\n    },\r\n    replaceWith(colorName: string) {\r\n      this.$emit('replace-with', colorName);\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../../../node_modules/babel-loader/lib/index.js!../../../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./ColorDropdown.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../../../node_modules/babel-loader/lib/index.js!../../../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./ColorDropdown.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./ColorDropdown.vue?vue&type=template&id=2f97a665&scoped=true\"\nimport script from \"./ColorDropdown.vue?vue&type=script&lang=ts\"\nexport * from \"./ColorDropdown.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./ColorDropdown.vue?vue&type=style&index=0&id=2f97a665&prod&lang=scss&scoped=true\")\nif (style0.__inject__) style0.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  \"2f97a665\",\n  null\n  ,true\n)\n\nexport default component.exports","/**\n * Copyright IBM Corp. 2019, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nimport { c as createSVGComponent } from '../utils-9450cd75.js';\nimport '@carbon/icon-helpers';\nimport 'vue';\n\nconst TextCreation24 = createSVGComponent('TextCreation24', {\n  \"xmlns\": \"http://www.w3.org/2000/svg\",\n  \"viewBox\": \"0 0 32 32\",\n  \"fill\": \"currentColor\",\n  \"width\": 24,\n  \"height\": 24\n}, [{\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M27,22.14V9.86A4,4,0,1,0,22.14,5H9.86A4,4,0,1,0,5,9.86V22.14A4,4,0,1,0,9.86,27H22.14A4,4,0,1,0,27,22.14ZM26,4a2,2,0,1,1-2,2A2,2,0,0,1,26,4ZM4,6A2,2,0,1,1,6,8,2,2,0,0,1,4,6ZM6,28a2,2,0,1,1,2-2A2,2,0,0,1,6,28Zm16.14-3H9.86A4,4,0,0,0,7,22.14V9.86A4,4,0,0,0,9.86,7H22.14A4,4,0,0,0,25,9.86V22.14A4,4,0,0,0,22.14,25ZM26,28a2,2,0,1,1,2-2A2,2,0,0,1,26,28Z\"\n  }\n}, {\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M21 11L11 11 11 13 15 13 15 22 17 22 17 13 21 13 21 11z\"\n  }\n}]);\n\nexport { TextCreation24 as default };\n","import { defineStore } from 'pinia';\r\n\r\nexport const useStore = defineStore({\r\n  id: 'global',\r\n\r\n  state: () => {\r\n    return {\r\n      isProcessingOrder: false,\r\n      isLoaderActive: false,\r\n    };\r\n  },\r\n\r\n  actions: {\r\n    setIsProcessingOrder(isProcessing: boolean) {\r\n      this.isProcessingOrder = isProcessing;\r\n    },\r\n    setIsLoaderActive(isLoading: boolean) {\r\n      this.isLoaderActive = isLoading;\r\n    },\r\n  },\r\n});\r\n","var render = function render(){var _vm=this,_c=_vm._self._c;return _c('div',{staticClass:\"divider\"})\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","<template>\r\n  <div class=\"divider\"></div>\r\n</template>\r\n<script>\r\nexport default {};\r\n</script>\r\n<style lang=\"scss\">\r\n.divider {\r\n  height: 0.5px;\r\n  width: 100%;\r\n  background-color: #e0e0e0;\r\n  margin: 12px 0;\r\n}\r\n</style>\r\n","import mod from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--13-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./Divider.vue?vue&type=script&lang=js\"; export default mod; export * from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--13-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./Divider.vue?vue&type=script&lang=js\"","import { render, staticRenderFns } from \"./Divider.vue?vue&type=template&id=46c08943\"\nimport script from \"./Divider.vue?vue&type=script&lang=js\"\nexport * from \"./Divider.vue?vue&type=script&lang=js\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./Divider.vue?vue&type=style&index=0&id=46c08943&prod&lang=scss\")\nif (style0.__inject__) style0.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  null,\n  null\n  ,true\n)\n\nexport default component.exports","\r\nimport Vue from 'vue';\r\nimport {\r\n  CustomDropdown,\r\n  CustomDropdownItem,\r\n} from '@/libs/proof-approval/proofVersions/CustomDropdown';\r\nimport { fontList } from '@/constants/fontList';\r\nimport { fontSizesList } from '@/constants/fontSizes';\r\nimport {\r\n  TextAlignLeft16,\r\n  TextAlignCenter16,\r\n  TextAlignRight16,\r\n  TextBold16,\r\n  TextItalic16,\r\n  TextFont16,\r\n} from '@carbon/icons-vue';\r\nimport {\r\n  CvIconButton,\r\n  CvTextArea,\r\n  CvButton,\r\n  CvDropdown,\r\n  CvDropdownItem,\r\n  CvAccordion,\r\n  CvAccordionItem,\r\n} from '@carbon/vue';\r\nimport { PmsColor } from '@midocean/webapps-shared-domain';\r\nimport { mapState, mapActions } from 'pinia';\r\nimport { ColorDropdown } from '../ColorManagement/ColorDropdown';\r\nimport TextCreation24 from '@carbon/icons-vue/es/text--creation/24';\r\nimport { useStore as useColorManagementStore } from '@/stores/colorsManagement';\r\nimport { useStore as useShapeStore } from '@/stores/v2/shape';\r\nimport { useStore as useProductStore } from '@/stores/v2/product';\r\nimport { useStore as useNotificationStore } from '@/stores/v2/notification';\r\nimport { useStore as useMirrorStore } from '@/stores/v2/mirror';\r\nimport ActionsPanel from './ActionsPanel.vue';\r\nimport { defaultTextTemplateV2 } from '@/components/w2pPintura/templates';\r\nimport { v4 as uuidv4 } from 'uuid';\r\nimport { createStateSnapshot } from '@/utils/historyHelperV2';\r\nimport { useStore as useHistoryStore } from '@/stores/v2/history';\r\nimport { useStore as useGlobalStore } from '@/stores/v2/global';\r\nimport Divider from '../Divider/Divider.vue';\r\nimport { generateEventPayloadV2 } from '@/utils/generatePriceParamsEventPayload';\r\n\r\nexport default Vue.extend({\r\n  name: 'TextPanelOptions',\r\n  components: {\r\n    CustomDropdown,\r\n    CustomDropdownItem,\r\n    ColorDropdown,\r\n    ActionsPanel,\r\n    TextBold16,\r\n    TextItalic16,\r\n    TextAlignLeft16,\r\n    TextAlignCenter16,\r\n    TextAlignRight16,\r\n    TextFont16,\r\n    CvIconButton,\r\n    CvTextArea,\r\n    TextCreation24,\r\n    CvButton,\r\n    CvDropdown,\r\n    CvDropdownItem,\r\n    CvAccordion,\r\n    CvAccordionItem,\r\n    Divider,\r\n  },\r\n  props: {\r\n    addTextBox: {\r\n      type: Boolean,\r\n      required: false,\r\n      default: false,\r\n    },\r\n  },\r\n  data() {\r\n    return {\r\n      attributes: {\r\n        text: '',\r\n        fontFamily: 'Roboto',\r\n        fontSizePT: '2',\r\n        fontWeight: 'normal',\r\n        fontStyle: 'normal',\r\n        textAlign: 'left',\r\n        colorName: 'Pure White',\r\n        color: {} as PmsColor,\r\n      },\r\n      fontList: fontList,\r\n      fontSizesList: fontSizesList,\r\n      hover: false,\r\n      TextCreation24,\r\n    };\r\n  },\r\n  computed: {\r\n    ...mapState(useColorManagementStore, ['availablePmsColors']),\r\n    ...mapState(useShapeStore, ['shapes', 'activeShapeId']),\r\n    ...mapState(useProductStore, [\r\n      'isLaserConverter',\r\n      'selectedPrintPosition',\r\n      'selectedVariant',\r\n      'rotation',\r\n      'activePosition',\r\n      'isDebossingTechnique',\r\n      'isFullColor',\r\n      'isAnyPositionAdded',\r\n    ]),\r\n    selectedPmsColor(): PmsColor {\r\n      return (\r\n        this.availablePmsColors.find(\r\n          (c) => c.name === this.attributes.colorName\r\n        ) ||\r\n        this.availablePmsColors.find(\r\n          (c) => c.name === this.attributes.colorName\r\n        ) ||\r\n        ({} as PmsColor)\r\n      );\r\n    },\r\n    allPmsColors(): PmsColor[] {\r\n      return this.availablePmsColors;\r\n    },\r\n    isEditText(): boolean {\r\n      return this.shapes.find((shape) => shape.id === this.activeShapeId)\r\n        ?.pngFile\r\n        ? true\r\n        : false;\r\n    },\r\n  },\r\n  watch: {\r\n    activeShapeId(newVal, oldVal) {\r\n      const activeShape = this.shapes.find((shape) => shape.id === newVal);\r\n      if (activeShape && activeShape.kind === 'Text') {\r\n        this.attributes = {\r\n          text: activeShape.w2pText.text,\r\n          fontFamily: activeShape.w2pText.fontFamily,\r\n          fontSizePT: activeShape.w2pText.fontSizePT.toString(),\r\n          fontWeight: activeShape.w2pText.fontWeight,\r\n          fontStyle: activeShape.w2pText.fontStyle,\r\n          textAlign: activeShape.w2pText.textAlign,\r\n          colorName: activeShape.w2pText.colorName,\r\n          color: activeShape.w2pText.color,\r\n        };\r\n      }\r\n\r\n      if (newVal === '') {\r\n        this.$emit('action:reset-text-box');\r\n      }\r\n    },\r\n\r\n    addTextBox() {\r\n      if (this.addTextBox) {\r\n        this.initializeTextBox();\r\n      }\r\n    },\r\n  },\r\n\r\n  created() {\r\n    const activeShape = this.shapes.find(\r\n      (shape) => shape.id === this.activeShapeId\r\n    );\r\n    if (activeShape && activeShape.kind === 'Text') {\r\n      this.attributes = {\r\n        text: activeShape.w2pText.text,\r\n        fontFamily: activeShape.w2pText.fontFamily,\r\n        fontSizePT: activeShape.w2pText.fontSizePT.toString(),\r\n        fontWeight: activeShape.w2pText.fontWeight,\r\n        fontStyle: activeShape.w2pText.fontStyle,\r\n        textAlign: activeShape.w2pText.textAlign,\r\n        colorName: activeShape.w2pText.colorName,\r\n        color: activeShape.w2pText.color,\r\n      };\r\n    }\r\n  },\r\n  mounted() {\r\n    if (this.addTextBox) {\r\n      this.initializeTextBox();\r\n    }\r\n  },\r\n  methods: {\r\n    ...mapActions(useShapeStore, [\r\n      'textToImage',\r\n      'removeShape',\r\n      'duplicateShape',\r\n      'deselectShape',\r\n      'updateShapePosition',\r\n      'checkIsShapeInArea',\r\n    ]),\r\n    ...mapActions(useProductStore, [\r\n      'getVariantLaserColor',\r\n      'polygonDetails',\r\n      'printPositionArea',\r\n    ]),\r\n    ...mapActions(useMirrorStore, ['removeMirrorShape', 'updateMirrorShape']),\r\n    ...mapActions(useNotificationStore, ['runValidators']),\r\n    ...mapActions(useHistoryStore, ['recordHistory']),\r\n    ...mapActions(useGlobalStore, ['setIsLoaderActive']),\r\n\r\n    removeTextBox() {\r\n      this.removeMirrorShape(this.activeShapeId);\r\n      this.removeShape(this.activeShapeId);\r\n      this.runValidators();\r\n\r\n      const eventPayload = generateEventPayloadV2();\r\n\r\n      this.$emit('wizard:price-params-changed', {\r\n        productPrintPositions: eventPayload,\r\n      });\r\n\r\n      const snapshot = createStateSnapshot();\r\n      this.recordHistory(snapshot);\r\n\r\n      this.$emit('action:reset-text-box');\r\n    },\r\n\r\n    duplicateTextBox() {\r\n      this.duplicateShape(this.activeShapeId);\r\n      this.runValidators();\r\n\r\n      const eventPayload = generateEventPayloadV2();\r\n\r\n      this.$emit('wizard:price-params-changed', {\r\n        productPrintPositions: eventPayload,\r\n      });\r\n\r\n      const snapshot = createStateSnapshot();\r\n      this.recordHistory(snapshot);\r\n    },\r\n\r\n    initializeTextBox() {\r\n      if (this.activeShapeId) {\r\n        this.attributes = {\r\n          text: '',\r\n          fontFamily: 'Roboto',\r\n          fontSizePT: '2',\r\n          fontWeight: 'normal',\r\n          fontStyle: 'normal',\r\n          textAlign: 'left',\r\n          colorName: 'Pure Black',\r\n          color: {} as PmsColor,\r\n        };\r\n      }\r\n      const artworkSpaceConsumed = 90;\r\n      const template = { ...defaultTextTemplateV2, kind: 'Text' };\r\n\r\n      // if (this.isLaserConverter()) {\r\n      //   const configObj = this.getVariantLaserColor(\r\n      //     this.selectedPrintPosition.id,\r\n      //     this.selectedPrintPosition.techniqueId || '',\r\n      //     this.selectedVariant.sku\r\n      //   );\r\n\r\n      //   const { red: r, green: g, blue: b } = configObj.laserColor;\r\n      //   const colorRGBString = `rgba(${r},${g},${b},${\r\n      //     configObj.laserPercentage / 100\r\n      //   })`;\r\n      // }\r\n\r\n      template.id = uuidv4();\r\n      template.isSelected = true;\r\n      // template.kind = 'Text';\r\n\r\n      if (\r\n        this.activePosition.printArea &&\r\n        this.activePosition.printArea.shapeType === 'Rectangle'\r\n      ) {\r\n        const printPosArea = this.printPositionArea(\r\n          this.activePosition.id,\r\n          true\r\n        );\r\n        if (printPosArea && printPosArea.kind === 'Rectangle') {\r\n          const { x, y, width, height, rotation } = printPosArea;\r\n          template.width = (width * artworkSpaceConsumed) / 100;\r\n\r\n          // do not use whole height from area, because for some large ractangle\r\n          // areas it is not necessary (-40)\r\n          template.height = (height * (artworkSpaceConsumed - 40)) / 100;\r\n          template.x = x + width / 2 - template.width / 2;\r\n          template.y = y + height / 2 - template.height / 2;\r\n          template.rotation = this.rotation;\r\n        }\r\n      }\r\n\r\n      if (\r\n        this.activePosition.printArea &&\r\n        this.activePosition.printArea.shapeType === 'Ellipse'\r\n      ) {\r\n        const printPosArea = this.printPositionArea(\r\n          this.activePosition.id,\r\n          true\r\n        );\r\n        if (printPosArea && printPosArea.kind === 'Ellipse') {\r\n          const { x, y, rx, ry } = printPosArea;\r\n          template.width = rx;\r\n          template.height = ry;\r\n          template.x = x - template.width / 2;\r\n          template.y = y - template.height / 2;\r\n          template.rotation = this.rotation;\r\n        }\r\n      }\r\n\r\n      if (\r\n        this.activePosition.printArea &&\r\n        this.activePosition.printArea.shapeType === 'Polygon'\r\n      ) {\r\n        template.width =\r\n          (this.polygonDetails(this.activePosition.id).minDistance *\r\n            (artworkSpaceConsumed - 20)) /\r\n          100;\r\n        template.height =\r\n          (this.polygonDetails(this.activePosition.id).minDistance *\r\n            (artworkSpaceConsumed - 20)) /\r\n          100;\r\n        template.x =\r\n          this.polygonDetails(this.activePosition.id).x - template.width / 2;\r\n        template.y =\r\n          this.polygonDetails(this.activePosition.id).y - template.height / 2;\r\n        template.rotation = 0;\r\n      }\r\n\r\n      this.$emit('add-to:image-decoration', template);\r\n    },\r\n\r\n    updateFontFamilyAttribute(value: string) {\r\n      this.attributes.fontFamily = value;\r\n    },\r\n\r\n    updateFontSizeAttribute(value: string) {\r\n      this.attributes.fontSizePT = value;\r\n    },\r\n\r\n    setFontWeightOrStyle(variant: string) {\r\n      if (variant === 'bold') {\r\n        this.attributes.fontWeight =\r\n          this.attributes.fontWeight === 'bold' ? 'normal' : variant;\r\n      } else {\r\n        this.attributes.fontStyle =\r\n          this.attributes.fontStyle === 'italic' ? 'normal' : variant;\r\n      }\r\n    },\r\n    async insertText() {\r\n      this.setIsLoaderActive(true);\r\n\r\n      const color = this.availablePmsColors.find(\r\n        (c) => c.name === this.attributes.colorName\r\n      );\r\n\r\n      if (color) {\r\n        await this.textToImage(\r\n          this.attributes.fontFamily,\r\n          Number(this.attributes.fontSizePT),\r\n          this.attributes.fontWeight,\r\n          this.attributes.fontStyle,\r\n          this.attributes.text,\r\n          this.attributes.textAlign ?? '',\r\n          this.attributes.colorName,\r\n          '',\r\n          color,\r\n          true,\r\n          this.activeShapeId\r\n        );\r\n\r\n        const activeShape = this.shapes.find(\r\n          (shape) => shape.id === this.activeShapeId\r\n        );\r\n        const scaledArea =\r\n          this.activePosition.id &&\r\n          this.printPositionArea(this.activePosition.id, true);\r\n        const productArea = this.activePosition.printArea;\r\n\r\n        if (activeShape && scaledArea && productArea) {\r\n          this.updateShapePosition(activeShape, scaledArea, productArea);\r\n          this.checkIsShapeInArea(activeShape.id);\r\n          this.updateMirrorShape(activeShape);\r\n          this.runValidators();\r\n        }\r\n\r\n        const eventPayload = generateEventPayloadV2();\r\n\r\n        this.$emit('wizard:price-params-changed', {\r\n          productPrintPositions: eventPayload,\r\n        });\r\n\r\n        const snapshot = createStateSnapshot();\r\n        this.recordHistory(snapshot);\r\n\r\n        this.setIsLoaderActive(false);\r\n      }\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./TextPanelOptions.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./TextPanelOptions.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./TextPanelOptions.vue?vue&type=template&id=467d1cc2\"\nimport script from \"./TextPanelOptions.vue?vue&type=script&lang=ts\"\nexport * from \"./TextPanelOptions.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./TextPanelOptions.vue?vue&type=style&index=0&id=467d1cc2&prod&lang=scss\")\nif (style0.__inject__) style0.__inject__(context)\nvar style1 = require(\"./TextPanelOptions.vue?vue&type=style&index=1&id=467d1cc2&prod&lang=scss\")\nif (style1.__inject__) style1.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  null,\n  null\n  ,true\n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return (_vm.data)?_c('div',{staticClass:\"home-panel\"},[_c('div',{staticClass:\"home-panel__product\"},[_c('span',{staticClass:\"span\"},[_vm._v(_vm._s(_vm.data.name))]),_c('p',[_vm._v(_vm._s(_vm.$t('wizard-v2.common.product-description')))]),_c('show-more',{attrs:{\"text\":_vm.productDescription,\"styles\":\"home-panel__product--description\"}})],1),_c('divider'),_c('div',[_c('div',{staticClass:\"home-panel__section p-12\"},[_c('span',{staticClass:\"span\"},[_vm._v(_vm._s(_vm.$t('wizard-v2.common.files')))]),(_vm.logoShapes.length === 0)?_c('div',{staticClass:\"home-panel__label\"},[_vm._v(\" \"+_vm._s(_vm.$t('wizard-v2.common.no-files-description'))+\" \")]):_c('div',{staticClass:\"home-panel__label\"},[_vm._v(\" \"+_vm._s(_vm.$t('wizard-v2.common.files-description'))+\" \")]),_vm._l((_vm.logoShapes),function(shape){return _c('div',{key:shape.id},[(shape.kind === 'Logo')?_c('div',{staticClass:\"home-panel__section--shape\"},[_c('label',{},[_vm._v(_vm._s(shape.fileName))])]):_vm._e()])})],2),_c('divider'),_c('div',{staticClass:\"home-panel__section p-12\"},[_c('span',{staticClass:\"span\"},[_vm._v(_vm._s(_vm.$t('wizard-v2.common.text-elements')))]),(_vm.textShapes.length === 0)?_c('div',{staticClass:\"home-panel__label\"},[_vm._v(\" \"+_vm._s(_vm.$t('wizard-v2.common.no-text-description'))+\" \")]):_vm._e(),_vm._l((_vm.textShapes),function(shape){return _c('div',{key:shape.id},[(shape.kind === 'Text')?_c('div',{staticClass:\"home-panel__section--shape\"},[_c('label',[_vm._v(_vm._s(shape.w2pText.text))])]):_vm._e()])})],2),_c('divider'),(_vm.getPmsColorsOnPrintPosition().length)?_c('div',{staticClass:\"home-panel__colors p-12\"},[_c('span',{staticClass:\"span\"},[_vm._v(_vm._s(_vm.$t('wizard-v2.common.colors')))]),_c('color-management',{on:{\"wizard:price-params-changed\":(event) => _vm.$emit('wizard:price-params-changed', event)}})],1):_vm._e()],1)],1):_vm._e()\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('div',[(_vm.isFullColor())?_c('div',{staticClass:\"color-section__fullColor\"},[_c('label',{staticClass:\"image-panel-options__label\"},[_vm._v(_vm._s(_vm.$t('print-position.full-colour')))])]):_vm._e(),(_vm.getPmsColorsOnPrintPosition().length > 0 && _vm.isPantoneTechnique)?_c('div',{staticClass:\"color-section\"},_vm._l((_vm.getPmsColorsOnPrintPosition()),function(color,index){return _c('div',{key:color.name,staticClass:\"color-section__container\"},[_c('color-dropdown',{attrs:{\"id\":'color-selector-' + (index + 1),\"selected-color\":color,\"item-list\":_vm.allPmsColors},on:{\"replace-with\":(colorName) => _vm.replaceWith(index, colorName)}}),_c('cv-button',{staticClass:\"color-section__remove\",attrs:{\"size\":\"small\",\"kind\":\"ghost\",\"disabled\":_vm.isDisabled},on:{\"click\":function($event){return _vm.colorToRemove(color)}}},[_c('close-16',{staticClass:\"bx--btn__icon bx--btn__color\"})],1)],1)}),0):_vm._e()])\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","\r\nimport Vue, { PropType } from 'vue';\r\nimport { useStore as useShapeStore } from '@/stores/v2/shape';\r\nimport { useStore as useProductStore } from '@/stores/v2/product';\r\nimport { useStore as useHistoryStore } from '@/stores/v2/history';\r\nimport { useStore as useMirrorStore } from '@/stores/v2/mirror';\r\nimport { useStore as useNotificationStore } from '@/stores/v2/notification';\r\nimport { useStore as useColorManagementStore } from '@/stores/v2/colorsManagement';\r\nimport { useStore as useGlobalStore } from '@/stores/v2/global';\r\nimport { mapActions, mapState, mapStores } from 'pinia';\r\nimport { CvButton } from '@carbon/vue';\r\nimport Close16 from '@carbon/icons-vue/es/close/16';\r\nimport { generateEventPayloadV2 } from '@/utils/generatePriceParamsEventPayload';\r\nimport { ProductPrintPositionAddModel } from '@/typings';\r\nimport { ColorDropdown } from '@/web-components/import-wizard-v2/components/ColorManagement/ColorDropdown';\r\nimport { createStateSnapshot } from '@/utils/historyHelperV2';\r\nimport { PmsColor } from '@midocean/webapps-shared-domain';\r\nimport { TextShape } from '@/web-components/import-wizard/typings/pintura';\r\n\r\nexport default Vue.extend({\r\n  name: 'ColorManagement',\r\n  components: {\r\n    CvButton,\r\n    Close16,\r\n    ColorDropdown,\r\n  },\r\n  props: {\r\n    isDisabled: {\r\n      type: Boolean,\r\n      required: false,\r\n    },\r\n  },\r\n  computed: {\r\n    ...mapStores(useShapeStore, useColorManagementStore),\r\n    ...mapState(useProductStore, [\r\n      'data',\r\n      'isLaserConverter',\r\n      'isDebossingTechnique',\r\n      'unavailablePrintPositions',\r\n      'selectedVariant',\r\n      'selectedPrintPosition',\r\n      'isFullColor',\r\n    ]),\r\n    ...mapState(useColorManagementStore, ['availablePmsColors']),\r\n    ...mapState(useShapeStore, [\r\n      'shapes',\r\n      'positionShapeMap',\r\n      'positionShapes',\r\n    ]),\r\n    allPmsColors(): PmsColor[] {\r\n      const detected = this.getPmsColorsOnPrintPosition();\r\n\r\n      const availableWithoutDetected = this.availablePmsColors.filter((c) => {\r\n        return detected.findIndex((dc) => dc.name === c.name) === -1;\r\n      });\r\n\r\n      const availableDetected = this.availablePmsColors.filter((c) => {\r\n        return detected.findIndex((dc) => dc.name === c.name) !== -1;\r\n      });\r\n\r\n      // show detected colors first, then the rest of available pms colors\r\n      const mergedList = availableDetected.concat(availableWithoutDetected);\r\n\r\n      return mergedList;\r\n    },\r\n\r\n    isPantoneTechnique(): boolean {\r\n      return (\r\n        !this.isFullColor() &&\r\n        !this.isLaserConverter() &&\r\n        !this.isDebossingTechnique()\r\n      );\r\n    },\r\n  },\r\n\r\n  methods: {\r\n    ...mapActions(useColorManagementStore, ['getPmsColorsOnPrintPosition']),\r\n    ...mapActions(useShapeStore, ['replaceColor', 'removeColor']),\r\n    ...mapActions(useHistoryStore, ['recordHistory']),\r\n    ...mapActions(useMirrorStore, ['updateMirrorShape']),\r\n    ...mapActions(useNotificationStore, ['runValidators']),\r\n    ...mapActions(useGlobalStore, ['setIsLoaderActive']),\r\n\r\n    async replaceWith(index: number, color: string) {\r\n      if (this.selectedPrintPosition.id) {\r\n        this.setIsLoaderActive(true);\r\n        if (this.getPmsColorsOnPrintPosition()[index].name === color) {\r\n          // if the same color is selected, do nothing.\r\n          return;\r\n        }\r\n\r\n        const historyStore = useHistoryStore();\r\n\r\n        const selectedPmsColor =\r\n          this.availablePmsColors?.find((c) => {\r\n            return c.name === color;\r\n          }) || ({} as PmsColor);\r\n\r\n        await this.replaceColor(\r\n          this.getPmsColorsOnPrintPosition()[index],\r\n          selectedPmsColor\r\n        );\r\n\r\n        const eventData = this.unavailablePrintPositions.filter(\r\n          (u) => u.positionId === this.selectedPrintPosition.id\r\n        ) as ProductPrintPositionAddModel[];\r\n\r\n        const eventPayload = generateEventPayloadV2();\r\n\r\n        this.$emit('wizard:price-params-changed', {\r\n          productPrintPositions: eventPayload,\r\n        });\r\n\r\n        this.$emit('action:change-color', eventData);\r\n\r\n        const positionShapes = this.positionShapes(\r\n          this.selectedPrintPosition.id\r\n        );\r\n        positionShapes.forEach((x) => {\r\n          this.updateMirrorShape(x);\r\n        });\r\n\r\n        const snapshot = createStateSnapshot();\r\n        historyStore.recordHistory(snapshot);\r\n\r\n        this.runValidators();\r\n\r\n        this.setIsLoaderActive(false);\r\n      }\r\n    },\r\n\r\n    async colorToRemove(color: PmsColor) {\r\n      if (this.selectedPrintPosition.id) {\r\n        this.setIsLoaderActive(true);\r\n        await this.removeColor(color);\r\n\r\n        const eventData = this.unavailablePrintPositions.filter(\r\n          (u) => u.positionId === this.selectedPrintPosition.id\r\n        ) as ProductPrintPositionAddModel[];\r\n\r\n        this.$emit('action:change-color', eventData);\r\n\r\n        const eventPayload = generateEventPayloadV2();\r\n\r\n        this.$emit('wizard:price-params-changed', {\r\n          productPrintPositions: eventPayload,\r\n        });\r\n\r\n        this.runValidators();\r\n\r\n        const snapshot = createStateSnapshot();\r\n        this.recordHistory(snapshot);\r\n\r\n        this.setIsLoaderActive(false);\r\n      }\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./ColorManagement.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./ColorManagement.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./ColorManagement.vue?vue&type=template&id=9e4dde20\"\nimport script from \"./ColorManagement.vue?vue&type=script&lang=ts\"\nexport * from \"./ColorManagement.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./ColorManagement.vue?vue&type=style&index=0&id=9e4dde20&prod&lang=scss\")\nif (style0.__inject__) style0.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  null,\n  null\n  ,true\n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c;return _c('div',{class:_vm.styles},[(!_vm.showMoreActivated)?_c('label',[_vm._v(_vm._s(_vm.text.slice(0, 50)))]):_vm._e(),(_vm.text.length > 50 && !_vm.showMoreActivated)?_c('span',[_vm._v(\"...\")]):_vm._e(),(!_vm.showMoreActivated)?_c('br'):_vm._e(),(!_vm.showMoreActivated && _vm.text.length > 50)?_c('label',{staticClass:\"link-primary\",on:{\"click\":function($event){_vm.showMoreActivated = true}}},[_vm._v(\" \"+_vm._s(_vm.$t('wizard-v2.common.show-more')))]):_vm._e(),(_vm.showMoreActivated)?_c('div',[_c('label',[_vm._v(_vm._s(_vm.text))]),_c('br'),_c('label',{staticClass:\"link-primary\",on:{\"click\":function($event){_vm.showMoreActivated = false}}},[_vm._v(\" \"+_vm._s(_vm.$t('wizard-v2.common.show-less')))])]):_vm._e()])\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","<template>\r\n  <div :class=\"styles\">\r\n    <label v-if=\"!showMoreActivated\">{{ text.slice(0, 50) }}</label>\r\n    <span v-if=\"text.length > 50 && !showMoreActivated\">...</span>\r\n    <br v-if=\"!showMoreActivated\" />\r\n    <label\r\n      v-if=\"!showMoreActivated && text.length > 50\"\r\n      class=\"link-primary\"\r\n      @click=\"showMoreActivated = true\"\r\n    >\r\n      {{ $t('wizard-v2.common.show-more') }}</label\r\n    >\r\n    <div v-if=\"showMoreActivated\">\r\n      <label>{{ text }}</label>\r\n      <br />\r\n      <label class=\"link-primary\" @click=\"showMoreActivated = false\">\r\n        {{ $t('wizard-v2.common.show-less') }}</label\r\n      >\r\n    </div>\r\n  </div>\r\n</template>\r\n<script>\r\nexport default {\r\n  props: {\r\n    text: { type: String, default: '' },\r\n    styles: { type: String, default: '' },\r\n  },\r\n  data() {\r\n    return { showMoreActivated: false };\r\n  },\r\n};\r\n</script>\r\n","import mod from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--13-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./ShowMore.vue?vue&type=script&lang=js\"; export default mod; export * from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--13-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./ShowMore.vue?vue&type=script&lang=js\"","import { render, staticRenderFns } from \"./ShowMore.vue?vue&type=template&id=1c386e68\"\nimport script from \"./ShowMore.vue?vue&type=script&lang=js\"\nexport * from \"./ShowMore.vue?vue&type=script&lang=js\"\n\n\n/* normalize component */\nimport normalizer from \"!../../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  null,\n  null,\n  null\n  ,true\n)\n\nexport default component.exports","\r\nimport Vue, { PropType } from 'vue';\r\nimport { mapActions, mapState, mapStores } from 'pinia';\r\nimport { useStore as useProductStore } from '@/stores/v2/product';\r\nimport { useStore as useShapeStore } from '@/stores/v2/shape';\r\nimport { useStore as useColorManagementStore } from '@/stores/v2/colorsManagement';\r\nimport { AnnotationShape } from '@/web-components/import-wizard-v2/typings/common';\r\nimport ColorManagement from '@/web-components/import-wizard-v2/components/ColorManagement/ColorManagement.vue';\r\nimport Divider from '../Divider/Divider.vue';\r\nimport ShowMore from '../ShowMore/ShowMore.vue';\r\n\r\nexport default Vue.extend({\r\n  name: 'HomePanel',\r\n  components: {\r\n    Divider,\r\n    ColorManagement,\r\n    ShowMore,\r\n  },\r\n\r\n  props: {\r\n    productDescription: { type: String, default: '' },\r\n  },\r\n\r\n  computed: {\r\n    ...mapStores(useShapeStore, useProductStore),\r\n    ...mapState(useColorManagementStore, ['availablePmsColors']),\r\n    ...mapState(useProductStore, ['data', 'activePosition']),\r\n    ...mapState(useShapeStore, ['positionShapes']),\r\n\r\n    textShapes(): AnnotationShape[] {\r\n      if (this.activePosition && this.activePosition.id) {\r\n        return this.positionShapes(this.activePosition.id).filter(\r\n          (shape) => shape.kind === 'Text'\r\n        );\r\n      } else {\r\n        return [];\r\n      }\r\n    },\r\n    logoShapes(): AnnotationShape[] {\r\n      if (this.activePosition && this.activePosition.id) {\r\n        return this.positionShapes(this.activePosition.id).filter(\r\n          (shape) => shape.kind === 'Logo'\r\n        );\r\n      } else {\r\n        return [];\r\n      }\r\n    },\r\n  },\r\n\r\n  methods: {\r\n    ...mapActions(useColorManagementStore, ['getPmsColorsOnPrintPosition']),\r\n  },\r\n});\r\n","import mod from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./HomePanel.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./HomePanel.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./HomePanel.vue?vue&type=template&id=f4ea8d42\"\nimport script from \"./HomePanel.vue?vue&type=script&lang=ts\"\nexport * from \"./HomePanel.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./HomePanel.vue?vue&type=style&index=0&id=f4ea8d42&prod&lang=scss\")\nif (style0.__inject__) style0.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  null,\n  null\n  ,true\n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('div',[_c('actions-panel',{attrs:{\"delete-disabled\":!_vm.activeShapeId,\"add-disabled\":!_vm.isAnyPositionAdded},on:{\"action:add\":_vm.openLogoLibrary,\"action:delete\":_vm.removeLogo,\"action:duplicate\":_vm.duplicateLogo}}),(_vm.activeShapeId)?_c('div',{staticClass:\"image-panel\"},[_c('div',{staticClass:\"image-panel-options\",attrs:{\"id\":\"image-panel-options-align-logo\"}},[_c('div',{staticClass:\"image-panel-options__align-logo\"},[_c('label',{staticClass:\"image-panel-options__label\"},[_vm._v(_vm._s(_vm.$t('wizard-v2.common.align')))]),_c('div',{staticClass:\"image-panel-options__icons\"},_vm._l(([\n              'align-horizontal-left',\n              'align-horizontal-center',\n              'align-horizontal-right',\n              'align-vertical-top',\n              'align-vertical-center',\n              'align-vertical-bottom',\n            ]),function(icon,index){return _c('cv-icon-button',{key:index,staticClass:\"image-panel-options__icon\",attrs:{\"tip-position\":\"bottom\",\"tip-alignment\":\"center\",\"size\":\"small\",\"kind\":'tertiary',\"disabled\":_vm.isAlignButtonDisabled(icon)},on:{\"click\":function($event){return _vm.alignLogo(icon)}},scopedSlots:_vm._u([{key:\"icon\",fn:function(){return [_c(`${icon}-16`,{tag:\"component\"})]},proxy:true}],null,true)})}),1)])]),_c('div',{staticClass:\"image-panel-options__crop\",attrs:{\"v\":\"\"}},[_c('cv-button',{class:_vm.isRoundLogo ? 'row-text-button disabled' : 'row-text-button',attrs:{\"size\":\"small\",\"kind\":\"tertiary\",\"disabled\":_vm.isRoundLogo},on:{\"click\":function($event){if (!_vm.isRoundLogo) {\n            _vm.$emit('open-crop-editor');\n          }}}},[_c('span',[_vm._v(\" \"+_vm._s(_vm.$t('wizard-v2.image-options.crop-image'))+\" \")]),_c('crop-16',{staticClass:\"bx--btn__icon btn--size\"})],1)],1),_c('div',{attrs:{\"id\":\"image-panel-options-transforming-tools\"}},[_c('cv-accordion',{staticClass:\"image-panel\",attrs:{\"align\":'end'}},[_c('cv-accordion-item',{scopedSlots:_vm._u([{key:\"title\",fn:function(){return [_vm._v(_vm._s(_vm.$t('wizard-v2.image-options.transforming-tools')))]},proxy:true},{key:\"content\",fn:function(){return [_c('div',{staticClass:\"container accordion-item-content__size\",attrs:{\"id\":\"image-panel-size\"}},[_c('div',{staticClass:\"image-panel-options__size-div\"},[_c('label',{staticClass:\"image-panel-options__size-label\"},[_vm._v(_vm._s(_vm.$t('wizard-v2.common.size')))])]),_c('cv-number-input',{staticClass:\"cv-input-wrapper size\",attrs:{\"value\":_vm.round(_vm.activeShape?.widthOnProductMM ?? 1, 1),\"label\":_vm.$t('wizard-v2.image-options.width-mm'),\"min\":1,\"max\":9999,\"step\":1},on:{\"input\":(v) => _vm.onUpdate('width', v)}},[(!_vm.isValidInput.width)?_c('template',{slot:\"invalid-message\"},[_vm._v(_vm._s(_vm.$t('sidebar.labels.size_invalid')))]):_vm._e()],2),_c('cv-number-input',{staticClass:\"cv-input-wrapper size\",attrs:{\"label\":_vm.$t('wizard-v2.image-options.height-mm'),\"value\":_vm.round(_vm.activeShape?.heightOnProductMM ?? 1, 1),\"min\":1,\"max\":9999,\"step\":1},on:{\"input\":(v) => _vm.onUpdate('height', v)}},[(!_vm.isValidInput.height)?_c('template',{slot:\"invalid-message\"},[_vm._v(_vm._s(_vm.$t('sidebar.labels.size_invalid')))]):_vm._e()],2)],1),_c('div',{staticClass:\"container accordion-item-content__size\",attrs:{\"id\":\"image-panel-rotate\"}},[_c('div',{staticClass:\"image-panel-options__size-div\"},[_c('label',{staticClass:\"image-panel-options__size-label\"},[_vm._v(_vm._s(_vm.$t('wizard-v2.image-options.rotate')))])]),_c('cv-number-input',{staticClass:\"cv-input-wrapper size\",attrs:{\"value\":_vm.activeShapeRotation,\"min\":0,\"max\":360,\"step\":1},on:{\"input\":(v) => _vm.onUpdate('rotation', v)}}),_c('div',{staticClass:\"row\"},[_c('cv-icon-button',{staticClass:\"rotate-icon\",attrs:{\"kind\":\"tertiary\",\"size\":\"sm\"},on:{\"click\":_vm.rotateCounterClockwise},scopedSlots:_vm._u([{key:\"icon\",fn:function(){return [_vm._t(\"icon\",function(){return [_c('rotate-clockwise-16')]})]},proxy:true}],null,true)}),_c('div',{staticClass:\"rotate-icon__label\"},[_vm._v(\" \"+_vm._s(_vm.$t('wizard-v2.image-options.right'))+\" \")]),_c('cv-icon-button',{staticClass:\"flip rotate-icon\",attrs:{\"kind\":\"tertiary\",\"size\":\"sm\"},on:{\"click\":_vm.rotateClockwise},scopedSlots:_vm._u([{key:\"icon\",fn:function(){return [_vm._t(\"icon\",function(){return [_c('rotate-clockwise-alt-16')]})]},proxy:true}],null,true)}),_c('div',{staticClass:\"rotate-icon__label\"},[_vm._v(\" \"+_vm._s(_vm.$t('wizard-v2.image-options.left'))+\" \")])],1)],1)]},proxy:true}],null,false,1939130236)})],1)],1),(_vm.isRoundPosition)?_c('div',{attrs:{\"id\":\"image-panel-options-round-print-position\"}},[_c('cv-accordion',{staticClass:\"image-panel\",attrs:{\"align\":'end'}},[_c('cv-accordion-item',{scopedSlots:_vm._u([{key:\"title\",fn:function(){return [_vm._v(_vm._s(_vm.$t('wizard-v2.image-options.positioning')))]},proxy:true},{key:\"content\",fn:function(){return [_c('div',{staticClass:\"accordion-item-content__label-only\"},[_c('label',{staticClass:\"image-panel-options__label\"},[_vm._v(_vm._s(_vm.$t('wizard-v2.image-options.auto-adjust-positioning')))])]),_c('div',[_c('cv-button',{class:_vm.isRoundLogo ? 'row-text-button disabled' : 'row-text-button',attrs:{\"size\":\"small\",\"kind\":\"tertiary\",\"disabled\":_vm.isRoundLogo},on:{\"click\":function($event){if (!_vm.isRoundLogo) {\n                    _vm.roundLogo();\n                  }}}},[_c('span',[_vm._v(\" \"+_vm._s(_vm.$t('wizard-v2.image-options.fill-position'))+\" \")]),_c('center-to-fit-16',{staticClass:\"bx--btn__icon btn--size\"})],1)],1)]},proxy:true}],null,false,447021026)})],1)],1):_vm._e(),_c('div',{attrs:{\"id\":\"image-panel-options-transparent-logo\"}},[_c('cv-accordion',{staticClass:\"image-panel\",attrs:{\"align\":'end'}},[_c('cv-accordion-item',{scopedSlots:_vm._u([{key:\"title\",fn:function(){return [_vm._v(_vm._s(_vm.$t('wizard-v2.image-options.transparent-logo')))]},proxy:true},{key:\"content\",fn:function(){return [_c('div',{staticClass:\"accordion-item-content__label-only\"},[_c('label',{staticClass:\"image-panel-options__label\"},[_vm._v(_vm._s(_vm.$t('wizard-v2.image-options.remove-white-color')))])]),_c('div',{staticClass:\"row mb-15\"},[_c('cv-icon-button',{staticClass:\"rotate-icon\",attrs:{\"kind\":\"tertiary\",\"size\":\"sm\"},on:{\"click\":_vm.removeWhiteFull},scopedSlots:_vm._u([{key:\"icon\",fn:function(){return [_vm._t(\"icon\",function(){return [_c('circle-solid-16')]})]},proxy:true}],null,true)}),_c('div',{staticClass:\"rotate-icon__label\"},[_vm._v(\" \"+_vm._s(_vm.$t('wizard-v2.image-options.full'))+\" \")]),_c('cv-icon-button',{staticClass:\"flip rotate-icon\",attrs:{\"kind\":\"tertiary\",\"size\":\"sm\"},on:{\"click\":_vm.removeWhiteOutside},scopedSlots:_vm._u([{key:\"icon\",fn:function(){return [_vm._t(\"icon\",function(){return [_c('circle-dash-16')]})]},proxy:true}],null,true)}),_c('div',{staticClass:\"rotate-icon__label\"},[_vm._v(\" \"+_vm._s(_vm.$t('wizard-v2.image-options.outside-only'))+\" \")])],1)]},proxy:true}],null,false,2225779367)})],1)],1),(_vm.hasColors)?_c('div',{attrs:{\"id\":\"image-panel-options-colors\"}},[_c('cv-accordion',{staticClass:\"image-panel\",attrs:{\"align\":'end'}},[_c('cv-accordion-item',{scopedSlots:_vm._u([{key:\"title\",fn:function(){return [_vm._v(_vm._s(_vm.$t('wizard-v2.common.colors')))]},proxy:true},{key:\"content\",fn:function(){return [(_vm.isFullColor())?_c('div',{staticClass:\"accordion-item-content__label-only\"},[_c('label',{staticClass:\"image-panel-options__label\"},[_vm._v(_vm._s(_vm.$t('print-position.full-colour')))])]):_vm._e(),(!_vm.isFullColor())?_c('div',{staticClass:\"accordion-item-content__colors\"},_vm._l((_vm.detectedPmsColors),function(color,index){return _c('div',{key:color.name,staticClass:\"image-panel-options__color-container\"},[_c('color-dropdown',{attrs:{\"id\":'color-selector-' + (index + 1),\"selected-color\":color,\"item-list\":_vm.allPmsColors,\"theme\":'Light'},on:{\"replace-with\":(colorName) => _vm.replaceWith(index, colorName)}}),_c('cv-button',{staticClass:\"color-section__remove\",attrs:{\"size\":\"small\",\"kind\":\"ghost\"},on:{\"click\":function($event){return _vm.colorToRemove(color)}}},[_c('close-16',{staticClass:\"bx--btn__icon bx--btn__color\"})],1)],1)}),0):_vm._e()]},proxy:true}],null,false,274999048)})],1)],1):_vm._e()]):_vm._e()],1)\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","/**\n * Copyright IBM Corp. 2019, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nimport { c as createSVGComponent } from '../utils-9450cd75.js';\nimport '@carbon/icon-helpers';\nimport 'vue';\n\nconst AlignHorizontalLeft16 = createSVGComponent('AlignHorizontalLeft16', {\n  \"xmlns\": \"http://www.w3.org/2000/svg\",\n  \"viewBox\": \"0 0 32 32\",\n  \"fill\": \"currentColor\",\n  \"width\": 16,\n  \"height\": 16\n}, [{\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M26 26H11a2.0023 2.0023 0 01-2-2V20a2.0023 2.0023 0 012-2H26a2.0023 2.0023 0 012 2v4A2.0023 2.0023 0 0126 26zm0-6.0012L11 20v4H26zM18 14H11a2.0023 2.0023 0 01-2-2V8a2.0023 2.0023 0 012-2h7a2.0023 2.0023 0 012 2v4A2.0023 2.0023 0 0118 14zm0-6.0012L11 8v4h7zM4 2H6V30H4z\"\n  }\n}]);\n\nexport { AlignHorizontalLeft16 as default };\n","/**\n * Copyright IBM Corp. 2019, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nimport { c as createSVGComponent } from '../utils-9450cd75.js';\nimport '@carbon/icon-helpers';\nimport 'vue';\n\nconst AlignHorizontalCenter16 = createSVGComponent('AlignHorizontalCenter16', {\n  \"xmlns\": \"http://www.w3.org/2000/svg\",\n  \"viewBox\": \"0 0 32 32\",\n  \"fill\": \"currentColor\",\n  \"width\": 16,\n  \"height\": 16\n}, [{\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M24,18H17V14h3a2.0025,2.0025,0,0,0,2-2V8a2.0025,2.0025,0,0,0-2-2H17V2H15V6H12a2.0025,2.0025,0,0,0-2,2v4a2.0025,2.0025,0,0,0,2,2h3v4H8a2.0025,2.0025,0,0,0-2,2v4a2.0025,2.0025,0,0,0,2,2h7v4h2V26h7a2.0025,2.0025,0,0,0,2-2V20A2.0025,2.0025,0,0,0,24,18ZM12,8h8v4H12ZM24,24H8V20H24Z\"\n  }\n}]);\n\nexport { AlignHorizontalCenter16 as default };\n","/**\n * Copyright IBM Corp. 2019, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nimport { c as createSVGComponent } from '../utils-9450cd75.js';\nimport '@carbon/icon-helpers';\nimport 'vue';\n\nconst AlignHorizontalRight16 = createSVGComponent('AlignHorizontalRight16', {\n  \"xmlns\": \"http://www.w3.org/2000/svg\",\n  \"viewBox\": \"0 0 32 32\",\n  \"fill\": \"currentColor\",\n  \"width\": 16,\n  \"height\": 16\n}, [{\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M4 24V20a2.0023 2.0023 0 012-2H21a2.0023 2.0023 0 012 2v4a2.0023 2.0023 0 01-2 2H6A2.0023 2.0023 0 014 24zm2 0H21V20L6 19.9988zM12 12V8a2.0023 2.0023 0 012-2h7a2.0023 2.0023 0 012 2v4a2.0023 2.0023 0 01-2 2H14A2.0023 2.0023 0 0112 12zm2 0h7V8l-7-.0012z\"\n  }\n}, {\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M26 2H28V30H26z\",\n    \"transform\": \"rotate(-180 27 16)\"\n  }\n}]);\n\nexport { AlignHorizontalRight16 as default };\n","/**\n * Copyright IBM Corp. 2019, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nimport { c as createSVGComponent } from '../utils-9450cd75.js';\nimport '@carbon/icon-helpers';\nimport 'vue';\n\nconst AlignVerticalTop16 = createSVGComponent('AlignVerticalTop16', {\n  \"xmlns\": \"http://www.w3.org/2000/svg\",\n  \"viewBox\": \"0 0 32 32\",\n  \"fill\": \"currentColor\",\n  \"width\": 16,\n  \"height\": 16\n}, [{\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M24 20H20a2.0023 2.0023 0 01-2-2V11a2.0023 2.0023 0 012-2h4a2.0023 2.0023 0 012 2v7A2.0023 2.0023 0 0124 20zm-4-9v7h4.0012L24 11zM12 28H8a2.0023 2.0023 0 01-2-2V11A2.0023 2.0023 0 018 9h4a2.0023 2.0023 0 012 2V26A2.0023 2.0023 0 0112 28zM8 11V26h4.0012L12 11zM2 4H30V6H2z\"\n  }\n}]);\n\nexport { AlignVerticalTop16 as default };\n","/**\n * Copyright IBM Corp. 2019, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nimport { c as createSVGComponent } from '../utils-9450cd75.js';\nimport '@carbon/icon-helpers';\nimport 'vue';\n\nconst AlignVerticalCenter16 = createSVGComponent('AlignVerticalCenter16', {\n  \"xmlns\": \"http://www.w3.org/2000/svg\",\n  \"viewBox\": \"0 0 32 32\",\n  \"fill\": \"currentColor\",\n  \"width\": 16,\n  \"height\": 16\n}, [{\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M30,15H26V12a2.0025,2.0025,0,0,0-2-2H20a2.0025,2.0025,0,0,0-2,2v3H14V8a2.0025,2.0025,0,0,0-2-2H8A2.0025,2.0025,0,0,0,6,8v7H2v2H6v7a2.0025,2.0025,0,0,0,2,2h4a2.0025,2.0025,0,0,0,2-2V17h4v3a2.0025,2.0025,0,0,0,2,2h4a2.0025,2.0025,0,0,0,2-2V17h4ZM8,24V8h4l.0012,16Zm12-4V12h4l.0012,8Z\"\n  }\n}]);\n\nexport { AlignVerticalCenter16 as default };\n","/**\n * Copyright IBM Corp. 2019, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nimport { c as createSVGComponent } from '../utils-9450cd75.js';\nimport '@carbon/icon-helpers';\nimport 'vue';\n\nconst AlignVerticalBottom16 = createSVGComponent('AlignVerticalBottom16', {\n  \"xmlns\": \"http://www.w3.org/2000/svg\",\n  \"viewBox\": \"0 0 32 32\",\n  \"fill\": \"currentColor\",\n  \"width\": 16,\n  \"height\": 16\n}, [{\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M2 26H30V28H2zM24 23H20a2.0023 2.0023 0 01-2-2V14a2.0023 2.0023 0 012-2h4a2.0023 2.0023 0 012 2v7A2.0023 2.0023 0 0124 23zm-4-9v7h4.0012L24 14zM12 23H8a2.0023 2.0023 0 01-2-2V6A2.0023 2.0023 0 018 4h4a2.0023 2.0023 0 012 2V21A2.0023 2.0023 0 0112 23zM8 6V21h4.0012L12 6z\"\n  }\n}]);\n\nexport { AlignVerticalBottom16 as default };\n","/**\n * Copyright IBM Corp. 2019, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nimport { c as createSVGComponent } from '../utils-9450cd75.js';\nimport '@carbon/icon-helpers';\nimport 'vue';\n\nconst Crop16 = createSVGComponent('Crop16', {\n  \"xmlns\": \"http://www.w3.org/2000/svg\",\n  \"viewBox\": \"0 0 32 32\",\n  \"fill\": \"currentColor\",\n  \"width\": 16,\n  \"height\": 16\n}, [{\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M25,20H23V9H12V7H23a2,2,0,0,1,2,2Z\"\n  }\n}, {\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M9,23V2H7V7H2V9H7V23a2,2,0,0,0,2,2H23v5h2V25h5V23Z\"\n  }\n}]);\n\nexport { Crop16 as default };\n","/**\n * Copyright IBM Corp. 2019, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nimport { c as createSVGComponent } from '../utils-9450cd75.js';\nimport '@carbon/icon-helpers';\nimport 'vue';\n\nconst RotateClockwise16 = createSVGComponent('RotateClockwise16', {\n  \"xmlns\": \"http://www.w3.org/2000/svg\",\n  \"viewBox\": \"0 0 32 32\",\n  \"fill\": \"currentColor\",\n  \"width\": 16,\n  \"height\": 16\n}, [{\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M28 30H16a2.0023 2.0023 0 01-2-2V16a2.0023 2.0023 0 012-2H28a2.0023 2.0023 0 012 2V28A2.0023 2.0023 0 0128 30zM16 16V28H28.0012L28 16zM15 2L13.59 3.41 16.17 6H11a7.0078 7.0078 0 00-7 7v5H6V13a5.0057 5.0057 0 015-5h5.17l-2.58 2.59L15 12l5-5z\"\n  }\n}]);\n\nexport { RotateClockwise16 as default };\n","/**\n * Copyright IBM Corp. 2019, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nimport { c as createSVGComponent } from '../utils-9450cd75.js';\nimport '@carbon/icon-helpers';\nimport 'vue';\n\nconst RotateClockwiseAlt16 = createSVGComponent('RotateClockwiseAlt16', {\n  \"xmlns\": \"http://www.w3.org/2000/svg\",\n  \"viewBox\": \"0 0 32 32\",\n  \"fill\": \"currentColor\",\n  \"width\": 16,\n  \"height\": 16\n}, [{\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M16 30H4a2.0023 2.0023 0 01-2-2V16a2.0023 2.0023 0 012-2H16a2.0023 2.0023 0 012 2V28A2.0023 2.0023 0 0116 30zM4 16V28H16.0012L16 16zM30 15l-1.41-1.41L26 16.17V11a7.0078 7.0078 0 00-7-7H14V6h5a5.0057 5.0057 0 015 5v5.17l-2.59-2.58L20 15l5 5z\"\n  }\n}]);\n\nexport { RotateClockwiseAlt16 as default };\n","/**\n * Copyright IBM Corp. 2019, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nimport { c as createSVGComponent } from '../utils-9450cd75.js';\nimport '@carbon/icon-helpers';\nimport 'vue';\n\nconst CircleSolid16 = createSVGComponent('CircleSolid16', {\n  \"xmlns\": \"http://www.w3.org/2000/svg\",\n  \"viewBox\": \"0 0 32 32\",\n  \"fill\": \"currentColor\",\n  \"width\": 16,\n  \"height\": 16\n}, [{\n  \"elem\": \"circle\",\n  \"attrs\": {\n    \"cx\": \"16\",\n    \"cy\": \"16\",\n    \"r\": \"14\"\n  }\n}]);\n\nexport { CircleSolid16 as default };\n","/**\n * Copyright IBM Corp. 2019, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nimport { c as createSVGComponent } from '../utils-9450cd75.js';\nimport '@carbon/icon-helpers';\nimport 'vue';\n\nconst CircleDash16 = createSVGComponent('CircleDash16', {\n  \"xmlns\": \"http://www.w3.org/2000/svg\",\n  \"viewBox\": \"0 0 32 32\",\n  \"fill\": \"currentColor\",\n  \"width\": 16,\n  \"height\": 16\n}, [{\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M7.7 4.7a14.7 14.7 0 00-3 3.1L6.3 9A13.26 13.26 0 018.9 6.3zM4.6 12.3l-1.9-.6A12.51 12.51 0 002 16H4A11.48 11.48 0 014.6 12.3zM2.7 20.4a14.4 14.4 0 002 3.9l1.6-1.2a12.89 12.89 0 01-1.7-3.3zM7.8 27.3a14.4 14.4 0 003.9 2l.6-1.9A12.89 12.89 0 019 25.7zM11.7 2.7l.6 1.9A11.48 11.48 0 0116 4V2A12.51 12.51 0 0011.7 2.7zM24.2 27.3a15.18 15.18 0 003.1-3.1L25.7 23A11.53 11.53 0 0123 25.7zM27.4 19.7l1.9.6A15.47 15.47 0 0030 16H28A11.48 11.48 0 0127.4 19.7zM29.2 11.6a14.4 14.4 0 00-2-3.9L25.6 8.9a12.89 12.89 0 011.7 3.3zM24.1 4.6a14.4 14.4 0 00-3.9-2l-.6 1.9a12.89 12.89 0 013.3 1.7zM20.3 29.3l-.6-1.9A11.48 11.48 0 0116 28v2A21.42 21.42 0 0020.3 29.3z\"\n  }\n}]);\n\nexport { CircleDash16 as default };\n","/**\n * Copyright IBM Corp. 2019, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nimport { c as createSVGComponent } from '../utils-9450cd75.js';\nimport '@carbon/icon-helpers';\nimport 'vue';\n\nconst CenterToFit16 = createSVGComponent('CenterToFit16', {\n  \"xmlns\": \"http://www.w3.org/2000/svg\",\n  \"viewBox\": \"0 0 32 32\",\n  \"fill\": \"currentColor\",\n  \"width\": 16,\n  \"height\": 16\n}, [{\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M8 2L2 2 2 8 4 8 4 4 8 4 8 2zM24 2L30 2 30 8 28 8 28 4 24 4 24 2zM8 30L2 30 2 24 4 24 4 28 8 28 8 30zM24 30L30 30 30 24 28 24 28 28 24 28 24 30zM24 24H8a2.0023 2.0023 0 01-2-2V10A2.0023 2.0023 0 018 8H24a2.0023 2.0023 0 012 2V22A2.0023 2.0023 0 0124 24zM8 10V22H24V10z\"\n  }\n}]);\n\nexport { CenterToFit16 as default };\n","/**\n * Copyright IBM Corp. 2019, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nimport { c as createSVGComponent } from '../../utils-9450cd75.js';\nimport '@carbon/icon-helpers';\nimport 'vue';\n\nconst WatsonHealthCircleMeasurement16 = createSVGComponent('WatsonHealthCircleMeasurement16', {\n  \"xmlns\": \"http://www.w3.org/2000/svg\",\n  \"viewBox\": \"0 0 32 32\",\n  \"fill\": \"currentColor\",\n  \"width\": 16,\n  \"height\": 16\n}, [{\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M16,30A14,14,0,1,1,30,16,14,14,0,0,1,16,30ZM16,4A12,12,0,1,0,28,16,12,12,0,0,0,16,4Z\"\n  }\n}, {\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M21,12.41V16h2V9H16v2h3.59L11,19.59V16H9v7h7V21H12.41Z\"\n  }\n}]);\n\nexport { WatsonHealthCircleMeasurement16 as default };\n","/**\n * Copyright IBM Corp. 2019, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nimport { c as createSVGComponent } from '../utils-9450cd75.js';\nimport '@carbon/icon-helpers';\nimport 'vue';\n\nconst Stop16 = createSVGComponent('Stop16', {\n  \"xmlns\": \"http://www.w3.org/2000/svg\",\n  \"viewBox\": \"0 0 16 16\",\n  \"fill\": \"currentColor\",\n  \"width\": 16,\n  \"height\": 16\n}, [{\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M12,4v8H4V4H12 M12,3H4C3.4,3,3,3.4,3,4v8c0,0.6,0.4,1,1,1h8c0.6,0,1-0.4,1-1V4C13,3.4,12.6,3,12,3z\"\n  }\n}]);\n\nexport { Stop16 as default };\n","/**\n * Copyright IBM Corp. 2019, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nimport { c as createSVGComponent } from '../utils-9450cd75.js';\nimport '@carbon/icon-helpers';\nimport 'vue';\n\nconst StopFilledAlt16 = createSVGComponent('StopFilledAlt16', {\n  \"xmlns\": \"http://www.w3.org/2000/svg\",\n  \"viewBox\": \"0 0 32 32\",\n  \"fill\": \"currentColor\",\n  \"width\": 16,\n  \"height\": 16\n}, [{\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M24,6H8A2,2,0,0,0,6,8V24a2,2,0,0,0,2,2H24a2,2,0,0,0,2-2V8a2,2,0,0,0-2-2Z\"\n  }\n}]);\n\nexport { StopFilledAlt16 as default };\n","\r\nimport Vue from 'vue';\r\nimport {\r\n  CustomDropdown,\r\n  CustomDropdownItem,\r\n} from '@/libs/proof-approval/proofVersions/CustomDropdown';\r\nimport {\r\n  AlignHorizontalLeft16,\r\n  AlignHorizontalCenter16,\r\n  AlignHorizontalRight16,\r\n  AlignVerticalTop16,\r\n  AlignVerticalCenter16,\r\n  AlignVerticalBottom16,\r\n  Crop16,\r\n  Close16,\r\n  WatsonHealthCircleMeasurement16,\r\n  Stop16,\r\n  StopFilledAlt16,\r\n  RotateClockwise16,\r\n  RotateClockwiseAlt16,\r\n  CircleSolid16,\r\n  CircleDash16,\r\n  CenterToFit16,\r\n} from '@carbon/icons-vue';\r\nimport {\r\n  CvIconButton,\r\n  CvTextArea,\r\n  CvButton,\r\n  CvAccordion,\r\n  CvAccordionItem,\r\n  CvNumberInput,\r\n} from '@carbon/vue';\r\nimport { Category, PmsColor } from '@midocean/webapps-shared-domain';\r\nimport { mapState, mapActions } from 'pinia';\r\nimport { ColorDropdown } from '../ColorManagement/ColorDropdown';\r\nimport TextCreation24 from '@carbon/icons-vue/es/text--creation/24';\r\nimport { useStore as useColorsManagementStore } from '@/stores/v2/colorsManagement';\r\nimport { useStore as useShapeStore } from '@/stores/v2/shape';\r\nimport { useStore as useProductStore } from '@/stores/v2/product';\r\nimport { useStore as useNotificationStore } from '@/stores/v2/notification';\r\nimport { useStore as useMirrorStore } from '@/stores/v2/mirror';\r\nimport ActionsPanel from './ActionsPanel.vue';\r\nimport IconTextButton from '../Buttons/IconTextButton.vue';\r\nimport { useStore as useShapeBoxSectionStore } from '@/stores/shapeBoxSection';\r\nimport { LogoShape } from '@/web-components/import-wizard/typings/pintura';\r\nimport { generateEventPayloadV2 } from '@/utils/generatePriceParamsEventPayload';\r\nimport { ProductPrintPositionAddModel } from '@/typings';\r\nimport { createStateSnapshot } from '@/utils/historyHelperV2';\r\nimport { useStore as useHistoryStore } from '@/stores/v2/history';\r\nimport { useStore as useGlobalStore } from '@/stores/v2/global';\r\nimport { updateTargetLines } from '@/utils/roundItemsHelper';\r\n\r\nexport default Vue.extend({\r\n  name: 'ImagePanelOptions',\r\n  components: {\r\n    CustomDropdown,\r\n    CustomDropdownItem,\r\n    ColorDropdown,\r\n    ActionsPanel,\r\n    AlignHorizontalLeft16,\r\n    AlignHorizontalCenter16,\r\n    AlignHorizontalRight16,\r\n    AlignVerticalTop16,\r\n    AlignVerticalCenter16,\r\n    AlignVerticalBottom16,\r\n    Crop16,\r\n    Close16,\r\n    CvAccordion,\r\n    CvAccordionItem,\r\n    CvIconButton,\r\n    CvTextArea,\r\n    TextCreation24,\r\n    CvButton,\r\n    IconTextButton,\r\n    CvNumberInput,\r\n    RotateClockwise16,\r\n    RotateClockwiseAlt16,\r\n    CircleSolid16,\r\n    CircleDash16,\r\n    CenterToFit16,\r\n  },\r\n  data() {\r\n    return {\r\n      attributes: {\r\n        logoAlign: '',\r\n        colorName: '',\r\n        color: {} as PmsColor,\r\n      },\r\n      showRoundPrintPositionOptions: false,\r\n      hover: false,\r\n      Crop16,\r\n      WatsonHealthCircleMeasurement16,\r\n      Stop16,\r\n      StopFilledAlt16,\r\n      RotateClockwise16,\r\n      RotateClockwiseAlt16,\r\n      CenterToFit16,\r\n    };\r\n  },\r\n  computed: {\r\n    ...mapState(useColorsManagementStore, ['availablePmsColors']),\r\n    ...mapState(useShapeStore, ['shapes', 'activeShapeId', 'shapeById']),\r\n    ...mapState(useShapeBoxSectionStore, ['isValidInput']),\r\n    ...mapState(useProductStore, [\r\n      'activePosition',\r\n      'isLaserConverter',\r\n      'selectedPrintPosition',\r\n      'selectedVariant',\r\n      'rotation',\r\n      'activePosition',\r\n      'isDebossingTechnique',\r\n      'isFullColor',\r\n      'unavailablePrintPositions',\r\n      'panelPosition',\r\n      'panelsPositions',\r\n      'centerCoordinatesOfPanels',\r\n      'isAnyPositionAdded',\r\n    ]),\r\n    allPmsColors(): PmsColor[] {\r\n      const detected = this.detectedPmsColors;\r\n\r\n      const availableWithoutDetected = this.availablePmsColors.filter((c) => {\r\n        return detected.findIndex((dc) => dc.name === c.name) === -1;\r\n      });\r\n\r\n      const availableDetected = this.availablePmsColors.filter((c) => {\r\n        return detected.findIndex((dc) => dc.name === c.name) !== -1;\r\n      });\r\n\r\n      // show detected colors first, then the rest of available pms colors\r\n      const mergedList = availableDetected.concat(availableWithoutDetected);\r\n\r\n      return mergedList;\r\n    },\r\n    detectedPmsColors(): PmsColor[] {\r\n      const array = this.activeShape?.pmsColorsInPngFile.map((color) => {\r\n        return {\r\n          ...color,\r\n          name: color.name.includes('Closest Pantone: ')\r\n            ? color.name.slice(17)\r\n            : color.name,\r\n        };\r\n      });\r\n\r\n      return array != null\r\n        ? [...new Map(array.map((item) => [item['name'], item])).values()]\r\n        : [];\r\n    },\r\n    activeShape(): LogoShape | undefined {\r\n      var shape = this.shapes.find((shape) => shape.id === this.activeShapeId);\r\n      if (shape != undefined && shape.kind === 'Logo') {\r\n        return shape;\r\n      }\r\n      return undefined;\r\n    },\r\n    activeShapeRotation(): number {\r\n      if (this.activeShape) {\r\n        let rotation = ((this.activeShape.rotation as number) * 180) / Math.PI;\r\n\r\n        if (rotation >= -90 && rotation < 0) {\r\n          rotation = 360 + rotation;\r\n        }\r\n        return parseInt(rotation.toFixed());\r\n      }\r\n      return 1;\r\n    },\r\n    isRoundPosition(): boolean {\r\n      return this.activePosition.printArea?.shapeType === 'Ellipse';\r\n    },\r\n    isRoundLogo(): boolean {\r\n      if (this.activeShape) {\r\n        return this.activeShape.isRoundLogo;\r\n      }\r\n      return false;\r\n    },\r\n    hasColors(): boolean {\r\n      return !this.isLaserConverter() && !this.isDebossingTechnique();\r\n    },\r\n  },\r\n  methods: {\r\n    ...mapActions(useShapeStore, [\r\n      'removeShape',\r\n      'deselectShape',\r\n      'duplicateShape',\r\n      'alignShape',\r\n      'alignRoundItemShape',\r\n      'transformShape',\r\n      'makeLogoRound',\r\n      'changeLogoBackground',\r\n      'checkIsShapeInArea',\r\n      'updateColorsAfterImageIsAdjusted',\r\n    ]),\r\n    ...mapActions(useMirrorStore, ['removeMirrorShape', 'updateMirrorShape']),\r\n    ...mapActions(useProductStore, [\r\n      'getVariantLaserColor',\r\n      'polygonDetails',\r\n      'setCenterCoordinatesOfPanels',\r\n    ]),\r\n    ...mapActions(useNotificationStore, ['runValidators']),\r\n    ...mapActions(useHistoryStore, ['recordHistory']),\r\n    ...mapActions(useGlobalStore, ['setIsLoaderActive']),\r\n\r\n    removeLogo() {\r\n      const shape = this.shapes.find((s) => {\r\n        return s.id === this.activeShapeId;\r\n      });\r\n\r\n      if (shape) {\r\n        updateTargetLines(\r\n          shape,\r\n          this.centerCoordinatesOfPanels,\r\n          this.panelsPositions,\r\n          true\r\n        );\r\n      }\r\n      this.removeMirrorShape(this.activeShapeId);\r\n      this.removeShape(this.activeShapeId);\r\n      this.runValidators();\r\n\r\n      const eventPayload = generateEventPayloadV2();\r\n\r\n      this.$emit('wizard:price-params-changed', {\r\n        productPrintPositions: eventPayload,\r\n      });\r\n\r\n      const snapshot = createStateSnapshot();\r\n      this.recordHistory(snapshot);\r\n    },\r\n\r\n    duplicateLogo() {\r\n      this.duplicateShape(this.activeShapeId);\r\n      this.runValidators();\r\n\r\n      const eventPayload = generateEventPayloadV2();\r\n\r\n      this.$emit('wizard:price-params-changed', {\r\n        productPrintPositions: eventPayload,\r\n      });\r\n\r\n      const snapshot = createStateSnapshot();\r\n      this.recordHistory(snapshot);\r\n    },\r\n\r\n    openLogoLibrary() {\r\n      this.$emit('open-logo-library');\r\n    },\r\n\r\n    isAlignButtonDisabled(align: string) {\r\n      if (\r\n        align !== 'align-horizontal-center' &&\r\n        align !== 'align-vertical-center'\r\n      ) {\r\n        const activeShape = this.shapeById(this.activeShapeId);\r\n        return activeShape && !activeShape.isInArea;\r\n      }\r\n      return false;\r\n    },\r\n\r\n    alignLogo(alignmentType: string) {\r\n      this.attributes.logoAlign = alignmentType;\r\n      if (this.activePosition.category === Category.RoundItem) {\r\n        this.alignRoundItemShape(\r\n          this.activeShapeId,\r\n          this.panelPosition,\r\n          alignmentType\r\n        );\r\n        const shape = this.shapes.find((s) => s.id === this.activeShapeId);\r\n        if (shape !== undefined) {\r\n          updateTargetLines(\r\n            shape,\r\n            this.centerCoordinatesOfPanels,\r\n            this.panelsPositions\r\n          );\r\n        }\r\n      } else {\r\n        this.alignShape(this.activeShapeId, alignmentType);\r\n      }\r\n\r\n      this.checkIsShapeInArea(this.activeShapeId);\r\n      this.runValidators();\r\n\r\n      const activeShape = this.shapeById(this.activeShapeId);\r\n      if (activeShape) {\r\n        this.updateMirrorShape(activeShape);\r\n      }\r\n\r\n      const eventPayload = generateEventPayloadV2();\r\n\r\n      this.$emit('wizard:price-params-changed', {\r\n        productPrintPositions: eventPayload,\r\n      });\r\n\r\n      const snapshot = createStateSnapshot();\r\n      this.recordHistory(snapshot);\r\n    },\r\n\r\n    round(value: number, precision: number) {\r\n      const multiplier = Math.pow(10, precision || 0);\r\n      return Math.round(value * multiplier) / multiplier;\r\n    },\r\n\r\n    onUpdate(whatToUpdate: string, value: number) {\r\n      let newValue = value;\r\n      if (whatToUpdate === 'height' || whatToUpdate === 'width') {\r\n        newValue = value < 1 || isNaN(value) ? 1 : value;\r\n      }\r\n\r\n      this.transformShape(whatToUpdate, newValue);\r\n      this.runValidators();\r\n      const activeShape = this.shapeById(this.activeShapeId);\r\n      if (activeShape) {\r\n        this.updateMirrorShape(activeShape);\r\n      }\r\n\r\n      const eventPayload = generateEventPayloadV2();\r\n\r\n      this.$emit('wizard:price-params-changed', {\r\n        productPrintPositions: eventPayload,\r\n      });\r\n\r\n      const snapshot = createStateSnapshot();\r\n      this.recordHistory(snapshot);\r\n    },\r\n    rotateClockwise() {\r\n      var newValue = this.activeShapeRotation + 90;\r\n      if (newValue > 360) {\r\n        newValue = newValue - 360;\r\n      }\r\n      this.transformShape('rotation', newValue);\r\n      this.runValidators();\r\n      const activeShape = this.shapeById(this.activeShapeId);\r\n      if (activeShape) {\r\n        this.updateMirrorShape(activeShape);\r\n      }\r\n\r\n      const eventPayload = generateEventPayloadV2();\r\n\r\n      this.$emit('wizard:price-params-changed', {\r\n        productPrintPositions: eventPayload,\r\n      });\r\n\r\n      const snapshot = createStateSnapshot();\r\n      this.recordHistory(snapshot);\r\n    },\r\n    rotateCounterClockwise() {\r\n      var newValue = this.activeShapeRotation - 90;\r\n      if (newValue < 0) {\r\n        newValue = newValue + 360;\r\n      }\r\n      this.transformShape('rotation', newValue);\r\n      this.runValidators();\r\n      const activeShape = this.shapeById(this.activeShapeId);\r\n      if (activeShape) {\r\n        this.updateMirrorShape(activeShape);\r\n      }\r\n\r\n      const eventPayload = generateEventPayloadV2();\r\n\r\n      this.$emit('wizard:price-params-changed', {\r\n        productPrintPositions: eventPayload,\r\n      });\r\n\r\n      const snapshot = createStateSnapshot();\r\n      this.recordHistory(snapshot);\r\n    },\r\n    async replaceWith(index: number, color: string) {\r\n      if (this.selectedPrintPosition.id) {\r\n        this.setIsLoaderActive(true);\r\n        if (this.detectedPmsColors[index].name === color) {\r\n          // if the same color is selected, do nothing.\r\n          return;\r\n        }\r\n\r\n        const selectedPmsColor =\r\n          this.availablePmsColors?.find((c: PmsColor) => {\r\n            return c.name === color;\r\n          }) || undefined;\r\n\r\n        if (selectedPmsColor) {\r\n          const shapeStore = useShapeStore();\r\n          await shapeStore.replaceColor(\r\n            this.detectedPmsColors[index],\r\n            selectedPmsColor,\r\n            true\r\n          );\r\n\r\n          const eventData = this.unavailablePrintPositions.filter(\r\n            (u) => u.positionId === this.selectedPrintPosition.id\r\n          ) as ProductPrintPositionAddModel[];\r\n\r\n          const eventPayload = generateEventPayloadV2();\r\n\r\n          this.$emit('wizard:price-params-changed', {\r\n            productPrintPositions: eventPayload,\r\n          });\r\n\r\n          this.$emit('action:change-color', eventData);\r\n\r\n          this.runValidators();\r\n          const activeShape = this.shapeById(this.activeShapeId);\r\n          if (activeShape) {\r\n            this.updateMirrorShape(activeShape);\r\n          }\r\n          const snapshot = createStateSnapshot();\r\n          this.recordHistory(snapshot);\r\n          this.setIsLoaderActive(false);\r\n        }\r\n      }\r\n    },\r\n\r\n    async colorToRemove(color: PmsColor) {\r\n      if (this.selectedPrintPosition.id) {\r\n        this.setIsLoaderActive(true);\r\n        const shapeStore = useShapeStore();\r\n        await shapeStore.removeColor(color, true);\r\n\r\n        const eventData = this.unavailablePrintPositions.filter(\r\n          (u) => u.positionId === this.selectedPrintPosition.id\r\n        ) as ProductPrintPositionAddModel[];\r\n\r\n        this.$emit('action:change-color', eventData);\r\n\r\n        const eventPayload = generateEventPayloadV2();\r\n\r\n        this.$emit('wizard:price-params-changed', {\r\n          productPrintPositions: eventPayload,\r\n        });\r\n        this.runValidators();\r\n\r\n        const activeShape = this.shapeById(this.activeShapeId);\r\n        if (activeShape) {\r\n          this.updateMirrorShape(activeShape);\r\n        }\r\n        const snapshot = createStateSnapshot();\r\n        this.recordHistory(snapshot);\r\n        this.setIsLoaderActive(false);\r\n      }\r\n    },\r\n\r\n    async roundLogo() {\r\n      this.setIsLoaderActive(true);\r\n      await this.makeLogoRound();\r\n      await this.updateColorsAfterImageIsAdjusted(this.activeShapeId, false);\r\n      const activeShape = this.shapeById(this.activeShapeId);\r\n      if (activeShape) {\r\n        this.updateMirrorShape(activeShape);\r\n      }\r\n\r\n      const eventPayload = generateEventPayloadV2();\r\n\r\n      this.$emit('wizard:price-params-changed', {\r\n        productPrintPositions: eventPayload,\r\n      });\r\n      this.runValidators();\r\n\r\n      const snapshot = createStateSnapshot();\r\n      this.recordHistory(snapshot);\r\n      this.setIsLoaderActive(false);\r\n    },\r\n\r\n    async removeWhiteFull() {\r\n      this.setIsLoaderActive(true);\r\n      await this.changeLogoBackground('fullBackground');\r\n      this.runValidators();\r\n      const activeShape = this.shapeById(this.activeShapeId);\r\n      if (activeShape) {\r\n        this.updateMirrorShape(activeShape);\r\n      }\r\n\r\n      const eventPayload = generateEventPayloadV2();\r\n\r\n      this.$emit('wizard:price-params-changed', {\r\n        productPrintPositions: eventPayload,\r\n      });\r\n\r\n      const snapshot = createStateSnapshot();\r\n      this.recordHistory(snapshot);\r\n      this.setIsLoaderActive(false);\r\n    },\r\n\r\n    async removeWhiteOutside() {\r\n      this.setIsLoaderActive(true);\r\n      await this.changeLogoBackground('outsideBackground');\r\n      this.runValidators();\r\n      const activeShape = this.shapeById(this.activeShapeId);\r\n      if (activeShape) {\r\n        this.updateMirrorShape(activeShape);\r\n      }\r\n\r\n      const eventPayload = generateEventPayloadV2();\r\n\r\n      this.$emit('wizard:price-params-changed', {\r\n        productPrintPositions: eventPayload,\r\n      });\r\n\r\n      const snapshot = createStateSnapshot();\r\n      this.recordHistory(snapshot);\r\n      this.setIsLoaderActive(false);\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./ImagePanelOptions.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./ImagePanelOptions.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./ImagePanelOptions.vue?vue&type=template&id=980f7c3c\"\nimport script from \"./ImagePanelOptions.vue?vue&type=script&lang=ts\"\nexport * from \"./ImagePanelOptions.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./ImagePanelOptions.vue?vue&type=style&index=0&id=980f7c3c&prod&lang=scss\")\nif (style0.__inject__) style0.__inject__(context)\nvar style1 = require(\"./ImagePanelOptions.vue?vue&type=style&index=1&id=980f7c3c&prod&lang=scss\")\nif (style1.__inject__) style1.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  null,\n  null\n  ,true\n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('div',[_c('div',{staticClass:\"action-description\"},[(_vm.fillLaneKey == '2')?_c('div',{staticClass:\"action-description__icons\"},[_c('img',{staticClass:\"action-description__image\",attrs:{\"src\":_vm.chevronRightSrc,\"width\":16,\"height\":16}}),_c('img',{staticClass:\"action-description__image\",attrs:{\"src\":_vm.chevronRightSrc,\"width\":16,\"height\":16}}),_c('img',{staticClass:\"action-description__image\",attrs:{\"src\":_vm.chevronRightSrc,\"width\":16,\"height\":16}}),_c('img',{staticClass:\"action-description__image\",attrs:{\"src\":_vm.chevronRightSrc,\"width\":16,\"height\":16}}),_c('img',{staticClass:\"action-description__image\",attrs:{\"src\":_vm.chevronRightSrc,\"width\":16,\"height\":16}}),_c('img',{staticClass:\"action-description__image\",attrs:{\"src\":_vm.chevronRightSrc,\"width\":16,\"height\":16}})]):_vm._e(),(_vm.fillLaneKey == '1')?_c('div',{staticClass:\"action-description__icons\"},[_c('img',{staticClass:\"action-description__image\",attrs:{\"src\":_vm.chevronRightSrc,\"width\":16,\"height\":16}})]):_vm._e(),(\n        _vm.duplicateLaneKey == '1' && _vm.fillLaneKey == '2' && _vm.flipLaneKey == '1'\n      )?_c('div',{staticClass:\"action-description__icons\"},[_c('img',{staticClass:\"action-description__image\",attrs:{\"src\":_vm.chevronLeftSrc,\"width\":16,\"height\":16}}),_c('img',{staticClass:\"action-description__image\",attrs:{\"src\":_vm.chevronLeftSrc,\"width\":16,\"height\":16}}),_c('img',{staticClass:\"action-description__image\",attrs:{\"src\":_vm.chevronLeftSrc,\"width\":16,\"height\":16}}),_c('img',{staticClass:\"action-description__image\",attrs:{\"src\":_vm.chevronLeftSrc,\"width\":16,\"height\":16}}),_c('img',{staticClass:\"action-description__image\",attrs:{\"src\":_vm.chevronLeftSrc,\"width\":16,\"height\":16}}),_c('img',{staticClass:\"action-description__image\",attrs:{\"src\":_vm.chevronLeftSrc,\"width\":16,\"height\":16}})]):_vm._e(),(\n        _vm.duplicateLaneKey == '1' && _vm.fillLaneKey == '2' && _vm.flipLaneKey == '2'\n      )?_c('div',{staticClass:\"action-description__icons\"},[_c('img',{staticClass:\"action-description__image\",attrs:{\"src\":_vm.chevronRightSrc,\"width\":16,\"height\":16}}),_c('img',{staticClass:\"action-description__image\",attrs:{\"src\":_vm.chevronRightSrc,\"width\":16,\"height\":16}}),_c('img',{staticClass:\"action-description__image\",attrs:{\"src\":_vm.chevronRightSrc,\"width\":16,\"height\":16}}),_c('img',{staticClass:\"action-description__image\",attrs:{\"src\":_vm.chevronRightSrc,\"width\":16,\"height\":16}}),_c('img',{staticClass:\"action-description__image\",attrs:{\"src\":_vm.chevronRightSrc,\"width\":16,\"height\":16}}),_c('img',{staticClass:\"action-description__image\",attrs:{\"src\":_vm.chevronRightSrc,\"width\":16,\"height\":16}})]):_vm._e(),(\n        _vm.duplicateLaneKey == '1' && _vm.fillLaneKey == '1' && _vm.flipLaneKey == '2'\n      )?_c('div',{staticClass:\"action-description__icons\"},[_c('img',{staticClass:\"action-description__image\",attrs:{\"src\":_vm.chevronRightSrc,\"width\":16,\"height\":16}})]):_vm._e(),(\n        _vm.duplicateLaneKey == '1' && _vm.fillLaneKey == '1' && _vm.flipLaneKey == '1'\n      )?_c('div',{staticClass:\"action-description__icons\"},[_c('img',{staticClass:\"action-description__image\",attrs:{\"src\":_vm.chevronLeftSrc,\"width\":16,\"height\":16}})]):_vm._e(),(_vm.duplicateLaneKey == '2')?_c('div',{staticClass:\"action-description__icons\"},[_c('div',{staticClass:\"action-description__image\"})]):_vm._e()]),_c('div',{staticClass:\"lanyard-panel-options\"},[_c('div',{staticClass:\"lanyard-panel-options__option\"},[_c('label',{staticClass:\"lanyard-panel-options__option--label\"},[_vm._v(_vm._s(_vm.$t('wizard-v2.lanyard-options.fill-lane')))]),_c('label',{staticClass:\"lanyard-panel-options__option--label--desc\"},[_vm._v(_vm._s(_vm.$t('wizard-v2.lanyard-options.fill-lane-description')))]),_c('cv-dropdown',{attrs:{\"value\":_vm.fillLaneItems[0].key},on:{\"change\":(fillLaneKey) => {\n            _vm.updateFillLaneOption(fillLaneKey);\n          }}},_vm._l((_vm.fillLaneItems),function(item){return _c('cv-dropdown-item',{key:item.key,attrs:{\"value\":item.key}},[_vm._v(\" \"+_vm._s(item.value)+\" \")])}),1)],1),_c('cv-accordion',{staticClass:\"text-panel-options__text-style\",attrs:{\"align\":'end'}},[_c('cv-accordion-item',{scopedSlots:_vm._u([{key:\"title\",fn:function(){return [_vm._v(_vm._s(_vm.$t('wizard-v2.lanyard-options.second-line-options')))]},proxy:true},{key:\"content\",fn:function(){return [_c('div',{staticClass:\"lanyard-panel-options__option\"},[_c('label',{staticClass:\"lanyard-panel-options__option--label\"},[_vm._v(_vm._s(_vm.$t('wizard-v2.lanyard-options.duplicate-to-second')))]),_c('cv-dropdown',{attrs:{\"value\":_vm.duplicateLaneItems[0].key},on:{\"change\":(duplicateLaneKey) => {\n                  _vm.updateDuplicateLaneOption(duplicateLaneKey);\n                }}},_vm._l((_vm.duplicateLaneItems),function(item){return _c('cv-dropdown-item',{key:item.key,attrs:{\"value\":item.key}},[_vm._v(\" \"+_vm._s(item.value)+\" \")])}),1)],1),_c('div',{staticClass:\"lanyard-panel-options__option\"},[_c('label',{staticClass:\"lanyard-panel-options__option--label\"},[_vm._v(_vm._s(_vm.$t('wizard-v2.lanyard-options.flip-the-elements')))]),_c('cv-dropdown',{attrs:{\"value\":_vm.flipLaneItems[0].key},on:{\"change\":(flipLaneKey) => {\n                  _vm.updateFlipLaneOption(flipLaneKey);\n                }}},_vm._l((_vm.flipLaneItems),function(item){return _c('cv-dropdown-item',{key:item.key,attrs:{\"value\":item.key}},[_vm._v(\" \"+_vm._s(item.value)+\" \")])}),1)],1)]},proxy:true}])})],1),_c('div',{staticClass:\"lanyard-panel-options__save-settings-button\"},[_c('cv-button',{attrs:{\"size\":\"sm\",\"kind\":\"secondary\",\"icon\":_vm.Save16},on:{\"click\":_vm.saveSettings}},[_vm._v(\" \"+_vm._s(_vm.$t('wizard-v2.lanyard-options.save-settings'))+\" \")])],1),_c('div',{staticClass:\"lanyard-panel-options-divider\"})],1)])\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","/**\n * Copyright IBM Corp. 2019, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nimport { c as createSVGComponent } from '../utils-9450cd75.js';\nimport '@carbon/icon-helpers';\nimport 'vue';\n\nconst Save16 = createSVGComponent('Save16', {\n  \"xmlns\": \"http://www.w3.org/2000/svg\",\n  \"viewBox\": \"0 0 16 16\",\n  \"fill\": \"currentColor\",\n  \"width\": 16,\n  \"height\": 16\n}, [{\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M13.9,4.6l-2.5-2.5C11.3,2.1,11.1,2,11,2H3C2.4,2,2,2.4,2,3v10c0,0.6,0.4,1,1,1h10c0.6,0,1-0.4,1-1V5\\tC14,4.9,13.9,4.7,13.9,4.6z M6,3h4v2H6V3z M10,13H6V9h4V13z M11,13V9c0-0.6-0.4-1-1-1H6C5.4,8,5,8.4,5,9v4H3V3h2v2c0,0.6,0.4,1,1,1\\th4c0.6,0,1-0.4,1-1V3.2l2,2V13H11z\"\n  }\n}]);\n\nexport { Save16 as default };\n","\r\nimport Vue from 'vue';\r\nimport {\r\n  CvButton,\r\n  CvDropdown,\r\n  CvDropdownItem,\r\n  CvAccordion,\r\n  CvAccordionItem,\r\n} from '@carbon/vue';\r\nimport { mapActions } from 'pinia';\r\nimport TextCreation24 from '@carbon/icons-vue/es/text--creation/24';\r\nimport Save16 from '@carbon/icons-vue/es/save/16';\r\nimport { useStore as useShapeStore } from '@/stores/v2/shape';\r\nimport { useStore as useMirrorStore } from '@/stores/v2/mirror';\r\nimport { useStore as useHistoryStore } from '@/stores/v2/history';\r\nimport { createStateSnapshot } from '@/utils/historyHelperV2';\r\nimport { useStore as useNotificationStore } from '@/stores/v2/notification';\r\nimport { generateEventPayloadV2 } from '@/utils/generatePriceParamsEventPayload';\r\n\r\nexport default Vue.extend({\r\n  name: 'TextPanelOptions',\r\n  components: {\r\n    CvButton,\r\n    CvDropdown,\r\n    CvDropdownItem,\r\n    CvAccordion,\r\n    CvAccordionItem,\r\n  },\r\n  data() {\r\n    return {\r\n      chevronRightSrc: require('../../../../assets/chevron--right.png'),\r\n      chevronLeftSrc: require('../../../../assets/chevron--left.png'),\r\n      fillLaneKey: '1',\r\n      fillLaneItems: [\r\n        {\r\n          key: '1',\r\n          value: this.$t('wizard-v2.lanyard-options.fill-lane-single'),\r\n        },\r\n        {\r\n          key: '2',\r\n          value: this.$t('wizard-v2.lanyard-options.fill-lane-tile'),\r\n        },\r\n      ],\r\n      duplicateLaneKey: '1',\r\n      duplicateLaneItems: [\r\n        {\r\n          key: '1',\r\n          value: this.$t('wizard-v2.lanyard-options.duplicate-to-second-yes'),\r\n        },\r\n        {\r\n          key: '2',\r\n          value: this.$t('wizard-v2.lanyard-options.duplicate-to-second-no'),\r\n        },\r\n      ],\r\n      flipLaneKey: '1',\r\n      flipLaneItems: [\r\n        {\r\n          key: '1',\r\n          value: this.$t('wizard-v2.lanyard-options.flip-the-elements-yes'),\r\n        },\r\n        {\r\n          key: '2',\r\n          value: this.$t('wizard-v2.lanyard-options.flip-the-elements-no'),\r\n        },\r\n      ],\r\n      TextCreation24,\r\n      Save16: Save16,\r\n    };\r\n  },\r\n  computed: {},\r\n  methods: {\r\n    ...mapActions(useShapeStore, ['applyLanyardOptions']),\r\n    ...mapActions(useHistoryStore, ['recordHistory']),\r\n    ...mapActions(useMirrorStore, ['updateMirror', 'updateRotation']),\r\n    ...mapActions(useNotificationStore, ['runValidators']),\r\n    updateFlipLaneOption(flipLaneKey: string) {\r\n      this.flipLaneKey = flipLaneKey;\r\n    },\r\n    updateDuplicateLaneOption(duplicateLaneKey: string) {\r\n      this.duplicateLaneKey = duplicateLaneKey;\r\n    },\r\n    updateFillLaneOption(fillLaneKey: string) {\r\n      this.fillLaneKey = fillLaneKey;\r\n    },\r\n    async saveSettings() {\r\n      await this.applyLanyardOptions(this.fillLaneKey === '2');\r\n\r\n      this.updateMirror(this.duplicateLaneKey === '1');\r\n\r\n      this.updateRotation(this.flipLaneKey === '1');\r\n\r\n      const eventPayload = generateEventPayloadV2();\r\n\r\n      this.$emit('wizard:price-params-changed', {\r\n        productPrintPositions: eventPayload,\r\n      });\r\n\r\n      this.runValidators();\r\n\r\n      const snapshot = createStateSnapshot();\r\n      this.recordHistory(snapshot);\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./LanyardPanelOptions.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./LanyardPanelOptions.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./LanyardPanelOptions.vue?vue&type=template&id=1dbf1d0a\"\nimport script from \"./LanyardPanelOptions.vue?vue&type=script&lang=ts\"\nexport * from \"./LanyardPanelOptions.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./LanyardPanelOptions.vue?vue&type=style&index=0&id=1dbf1d0a&prod&lang=scss\")\nif (style0.__inject__) style0.__inject__(context)\nvar style1 = require(\"./LanyardPanelOptions.vue?vue&type=style&index=1&id=1dbf1d0a&prod&lang=scss\")\nif (style1.__inject__) style1.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  null,\n  null\n  ,true\n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('div',{staticClass:\"order-details\"},[(_vm.showTotalPricing)?_c('total-pricing',{attrs:{\"product-print-positions\":_vm.priceDetails.productPrintPositions,\"pricing-data\":_vm.priceDetails,\"pdp-choices-data\":_vm.pdpChoicesData},on:{\"hide-pricing\":function($event){_vm.showTotalPricing = false}}}):_vm._e(),(!_vm.showTotalPricing)?_c('div',{staticClass:\"order-details__show-pricing-button\",on:{\"click\":function($event){_vm.showTotalPricing = true}}},[_c('chevron-up-16',{staticClass:\"first-chevron\"}),_c('chevron-up-16')],1):_vm._e(),_c('div',{staticClass:\"order-details__menu\"},[_c('div',{staticClass:\"order-details__menu--production\"},[_c('span',[_vm._v(\" \"+_vm._s(_vm.$t('wizard-v2.order-details.production-working-days', { days: _vm.priceDetails.productionDays, })))]),_c('div',{staticClass:\"order-details__menu--production__tooltip\"},[_c('cv-tooltip',{attrs:{\"tip\":_vm.$t('wizard-v2.order-details.production-tooltip'),\"alignment\":\"center\",\"direction\":\"top\"}})],1)]),_c('div',{staticClass:\"order-details__menu--price\"},[_c('strong',[_vm._v(_vm._s(_vm.priceDetails.totalPrice === '' ? _vm.$t('wizard-v2.order-details.recalculating') : _vm.priceDetails.totalPrice))])]),_c('div',{staticClass:\"order-details__menu--order-item\"},[_c('cv-button',{staticClass:\"order-details__menu--order-item__button\",attrs:{\"label\":_vm.$t('wizard-v2.order-details.order-item'),\"disabled\":_vm.isProcessingOrder ||\n          _vm.isLoaderActive ||\n          _vm.$isOrderDisabled ||\n          _vm.hasErrorsBesideSmallDetails ||\n          _vm.hasEmptyTexts ||\n          !_vm.isAnyPositionAdded},on:{\"click\":_vm.handleOrderItem}},[_c('shopping-cart-arrow-down-16'),_c('span',[_vm._v(_vm._s(_vm.$t('wizard-v2.order-details.order-item')))])],1)],1)])],1)\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","/**\n * Copyright IBM Corp. 2019, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nimport { c as createSVGComponent } from '../utils-9450cd75.js';\nimport '@carbon/icon-helpers';\nimport 'vue';\n\nconst ShoppingCartArrowDown16 = createSVGComponent('ShoppingCartArrowDown16', {\n  \"xmlns\": \"http://www.w3.org/2000/svg\",\n  \"viewBox\": \"0 0 32 32\",\n  \"fill\": \"currentColor\",\n  \"width\": 16,\n  \"height\": 16\n}, [{\n  \"elem\": \"circle\",\n  \"attrs\": {\n    \"cx\": \"10\",\n    \"cy\": \"28\",\n    \"r\": \"2\"\n  }\n}, {\n  \"elem\": \"circle\",\n  \"attrs\": {\n    \"cx\": \"24\",\n    \"cy\": \"28\",\n    \"r\": \"2\"\n  }\n}, {\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M4.9806,2.8039A1,1,0,0,0,4,2H0V4H3.18L7.0194,23.1961A1,1,0,0,0,8,24H26V22H8.82l-.8-4H26a1,1,0,0,0,.9762-.783L29.2445,7H27.1971l-1.9989,9H7.62Z\"\n  }\n}, {\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M21.586 6.586L18 10.172 18 2 16 2 16 10.172 12.414 6.586 11 8 17 14 23 8 21.586 6.586z\"\n  }\n}]);\n\nexport { ShoppingCartArrowDown16 as default };\n","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('div',{staticClass:\"d-flex-column-center w-100\"},[_c('div',{staticClass:\"hide-pricing-button\",on:{\"click\":function($event){return _vm.$emit('hide-pricing')}}},[_c('chevron-down-16',{staticClass:\"first-chevron\"}),_c('chevron-down-16')],1),_c('div',{staticClass:\"total-pricing scrollbar-containter\"},[_c('div',{staticClass:\"total-pricing__price-name-amount title\"},[_c('p',{staticClass:\"title-paragraph\"},[_vm._v(\" \"+_vm._s(_vm.$t('wizard-v2.order-details.total-excl-shipping'))+\" \")]),_c('p',{staticClass:\"title-paragraph\"},[_vm._v(\" \"+_vm._s(_vm.pricingData.totalPrice === '' ? _vm.$t('wizard-v2.order-details.recalculating') : _vm.pricingData.totalPrice)+\" \")])]),(!_vm.pdpChoicesData.isTextile)?_c('cv-accordion',[_vm._l((_vm.pricingData.productPrintPositions),function(position){return _c('cv-accordion-item',{key:position.printPositionSAPCode},[_c('template',{slot:\"title\"},[_c('div',{staticClass:\"total-pricing__price-name-amount accordion\"},[_c('p',{staticClass:\"total-pricing__price-name-amount--paragraphs\"},[_vm._v(\" \"+_vm._s(position.printPositionSAPCode)+\": \"+_vm._s(_vm.getPrintTechniqueSAPCode(position))+\" (\"+_vm._s(_vm.getNumberOfColours(position))+\") \")]),_c('p',{staticClass:\"paragraphs\"},[_vm._v(\" \"+_vm._s(position.subTotal || 'N/A')+\" \")])])]),_c('template',{slot:\"content\"},[_c('div',{staticClass:\"total-pricing__price-name-amount-content\"},[_c('p',{staticClass:\"total-pricing__price-name-amount--additional-data\"},[_vm._v(\" \"+_vm._s(_vm.$t('wizard-v2.order-details.setup-cost'))+\" \")]),_c('p',{staticClass:\"total-pricing__price-name-amount--additional-data\"},[_vm._v(\" \"+_vm._s(position.setupCost)+\" \")])]),_c('div',{staticClass:\"total-pricing__price-name-amount-content\"},[_c('p',{staticClass:\"total-pricing__price-name-amount--additional-data\"},[_vm._v(\" \"+_vm._s(_vm.$t('wizard-v2.order-details.printing-cost'))+\" \")]),_c('p',{staticClass:\"total-pricing__price-name-amount--additional-data\"},[_vm._v(\" \"+_vm._s(position.printingCost)+\" \")])])])],2)}),_c('div',{staticClass:\"total-pricing__handling-cost\"},[_c('p',[_vm._v(\" \"+_vm._s(_vm.$t('wizard-v2.order-details.handling-cost'))+\" \")]),_c('p',[_vm._v(\" \"+_vm._s(_vm.pricingData.handlingCost)+\" \")])]),_c('div')],2):_vm._e()],1)])\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","\r\nimport Vue, { PropType } from 'vue';\r\nimport { CvAccordion, CvAccordionItem } from '@carbon/vue';\r\nimport { useStore as useColorManagementStore } from '@/stores/colorsManagement';\r\nimport { useStore as useProductStore } from '@/stores/product';\r\nimport { mapActions, mapState } from 'pinia';\r\nimport { ProductPrintPositionSetterType } from '@/setters/typings/common/ProductPrintPositionSetterType';\r\nimport ChevronDown16 from '@carbon/icons-vue/es/chevron--down/16';\r\n\r\nimport {\r\n  PdpChoicesSetterType,\r\n  PriceDetailsSetterTypeV2,\r\n} from '@/setters/typings';\r\n\r\nexport default Vue.extend({\r\n  components: {\r\n    CvAccordion,\r\n    CvAccordionItem,\r\n    ChevronDown16,\r\n  },\r\n  props: {\r\n    pricingData: {\r\n      type: Object as PropType<PriceDetailsSetterTypeV2>,\r\n      required: true,\r\n    },\r\n    pdpChoicesData: {\r\n      type: Object as PropType<PdpChoicesSetterType>,\r\n      required: true,\r\n    },\r\n  },\r\n\r\n  computed: {\r\n    ...mapState(useProductStore, ['unavailablePrintPositions', 'data']),\r\n  },\r\n\r\n  methods: {\r\n    ...mapActions(useColorManagementStore, ['getPmsColorByPrintPositionId']),\r\n    getNumberOfColours(position: ProductPrintPositionSetterType): string {\r\n      const productPrintPosition = this.data.productPrintPositions.find(\r\n        (p) => p.name === position.printPositionSAPCode\r\n      );\r\n      const technique = productPrintPosition?.printTechniques.find(\r\n        (technique) => {\r\n          return (\r\n            technique.printTechnique.code === position.printTechniqueSAPCode\r\n          );\r\n        }\r\n      );\r\n\r\n      const finalResult = +position.numberOfColors || 0;\r\n      const textToReturn = technique?.printTechnique.isFullColor\r\n        ? `${this.$t('print-position.full-colour')}`\r\n        : `${this.$tc('print-position.number-colours', finalResult, {\r\n            number: finalResult,\r\n          })}`;\r\n\r\n      return textToReturn;\r\n    },\r\n    getPrintTechniqueSAPCode(position: ProductPrintPositionSetterType): string {\r\n      const printPosition = this.unavailablePrintPositions.find(\r\n        (p) => p.printPositionSAPCode === position.printPositionSAPCode\r\n      );\r\n\r\n      return printPosition?.technique.printTechniqueSAPCode as string;\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./TotalPricing.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./TotalPricing.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./TotalPricing.vue?vue&type=template&id=5bd1b5f0\"\nimport script from \"./TotalPricing.vue?vue&type=script&lang=ts\"\nexport * from \"./TotalPricing.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./TotalPricing.vue?vue&type=style&index=0&id=5bd1b5f0&prod&lang=scss\")\nif (style0.__inject__) style0.__inject__(context)\nvar style1 = require(\"./TotalPricing.vue?vue&type=style&index=1&id=5bd1b5f0&prod&lang=scss\")\nif (style1.__inject__) style1.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  null,\n  null\n  ,true\n)\n\nexport default component.exports","import axios from 'axios';\r\nimport { textShapes, useStore as useShapeStore } from '@/stores/v2/shape';\r\nimport { useStore as useProductStore } from '@/stores/v2/product';\r\nimport { useStore as useActionStore } from '@/stores/v2/action';\r\nimport { useStore as useMirrorStore } from '@/stores/v2/mirror';\r\nimport { useStore as useNotificationStore } from '@/stores/v2/notification';\r\nimport { useStore as useColorsManagementStore } from '@/stores/v2/colorsManagement';\r\nimport { calculatePrintAreaV2 } from './index';\r\nimport { determineRangeSAPCode } from '@/utils/generatePriceParamsEventPayload';\r\nimport { px2mm } from '@/utils';\r\nimport { DoSmallDetailsPart } from '@/constants/imageProcessingEngine';\r\nimport {\r\n  NewProofForm,\r\n  NewProductPrintPositionForms,\r\n  CategoryConfiguration,\r\n  LanyardConfiguration,\r\n  RegularConfiguration,\r\n  PmsColor,\r\n  ProductPrintPosition,\r\n  PrintTechnique,\r\n  Category,\r\n  CreatePersonalizationForm,\r\n} from '@midocean/webapps-shared-domain';\r\nimport { PipelineNotificationType } from '@/components/Notifiers/typings/PipelineNotificationType';\r\nimport customerService from '@/services/CustomersService';\r\nimport {\r\n  PdfPreviewForm,\r\n  UpdatePersonalizationCommand,\r\n} from '@/web-components/import-wizard/typings/common/createPersonalization';\r\nimport { ProductColorSetterType } from '@/setters/typings/common/ProductColorsSetterType';\r\nimport {\r\n  AnnotationShape,\r\n  LogoShape,\r\n  Text,\r\n  TextShape,\r\n} from '@/web-components/import-wizard-v2/typings/common';\r\nimport { format } from 'date-fns';\r\nimport { ProofPreview } from '@/libs/proof-approval/typings/common/Personalization';\r\nimport { PdpChoicesSetterType } from '@/setters/typings';\r\nimport {\r\n  NotificationResult,\r\n  ToastNotification,\r\n} from '@/web-components/import-wizard-v2/typings/notification';\r\nimport { getUtcDateTime } from './common';\r\n\r\nexport async function getArtworkFiles(\r\n  shapes: AnnotationShape[]\r\n): Promise<File[]> {\r\n  const logoShapes: LogoShape[] = shapes.filter(\r\n    (x) => x.kind === 'Logo'\r\n  ) as LogoShape[];\r\n\r\n  return await Promise.all(\r\n    logoShapes.map(async (artwork) => {\r\n      const imageBlob =\r\n        artwork.variantArtworkImages && artwork.variantArtworkImages.length > 0\r\n          ? artwork.pngFileWithoutConverters\r\n          : artwork.pngFile;\r\n      return new File([imageBlob], artwork.personalizationArtworkId, {\r\n        type: 'image/png',\r\n      });\r\n    })\r\n  );\r\n}\r\n\r\nexport function getSmallDetailsFiles(shapes: AnnotationShape[]): File[] {\r\n  const files: File[] = [];\r\n  const logoShapes: LogoShape[] = shapes.filter(\r\n    (x) => x.kind === 'Logo'\r\n  ) as LogoShape[];\r\n\r\n  const textShapes: TextShape[] = shapes.filter(\r\n    (x) => x.kind === 'Text'\r\n  ) as TextShape[];\r\n\r\n  logoShapes.map((a) => {\r\n    if (a.smallDetailsResult) {\r\n      files.push(\r\n        new File(\r\n          [a.smallDetailsResult.pngFileBlob],\r\n          a.personalizationArtworkId,\r\n          {\r\n            type: 'image/png',\r\n          }\r\n        )\r\n      );\r\n    }\r\n  });\r\n\r\n  textShapes.map((t) => {\r\n    if (t.smallDetailsResult) {\r\n      files.push(\r\n        new File([t.smallDetailsResult.pngFileBlob], t.id, {\r\n          type: 'image/png',\r\n        })\r\n      );\r\n    }\r\n  });\r\n\r\n  return files;\r\n}\r\n\r\nexport function getTextFiles(shapes: AnnotationShape[]): File[] {\r\n  const files: File[] = [];\r\n  const textShapes: TextShape[] = shapes.filter(\r\n    (x) => x.kind === 'Text'\r\n  ) as TextShape[];\r\n\r\n  textShapes.map((t) => {\r\n    files.push(\r\n      new File([t.pngFileWithoutConverters], t.id, {\r\n        type: 'image/png',\r\n      })\r\n    );\r\n  });\r\n\r\n  return files;\r\n}\r\n\r\nexport function getVariantFiles(shapes: AnnotationShape[]): File[] {\r\n  const variantFiles: File[] = [];\r\n\r\n  shapes.forEach((artwork) => {\r\n    if (artwork.variantArtworkImages) {\r\n      artwork.variantArtworkImages.forEach((previewImage) => {\r\n        variantFiles.push(\r\n          new File(\r\n            [previewImage.variantArtworkPng],\r\n            artwork.id + '@' + previewImage.variantColor,\r\n            {\r\n              type: 'image/png',\r\n            }\r\n          )\r\n        );\r\n      });\r\n    }\r\n  });\r\n  return variantFiles;\r\n}\r\n\r\nexport const getPositionImageDPI = (\r\n  positionId: string,\r\n  productPrintPositions: ProductPrintPosition[]\r\n): number => {\r\n  return productPrintPositions?.find((p) => p.id === positionId)\r\n    ?.originalImageWebDpi as number;\r\n};\r\n\r\nexport const getPrintTechniqueSapCode = (\r\n  pId: string,\r\n  tId: string,\r\n  productPrintPositions: ProductPrintPosition[]\r\n): string => {\r\n  return productPrintPositions\r\n    .filter((p) => p.id === pId)\r\n    .map(({ printTechniques }) =>\r\n      printTechniques?.find((pt) => pt.id === tId)\r\n    )[0]?.printTechnique?.code as string;\r\n};\r\n\r\nexport const getPrintTechnique = (\r\n  pId: string,\r\n  tId: string,\r\n  productPrintPositions: ProductPrintPosition[]\r\n): PrintTechnique | undefined => {\r\n  return productPrintPositions\r\n    .filter((p) => p.id === pId)\r\n    .map(({ printTechniques }) =>\r\n      printTechniques?.find((t) => t.id === tId)\r\n    )[0];\r\n};\r\n\r\nexport const getConvertedColorToPms = (\r\n  colorName: string,\r\n  availablePmsColors: PmsColor[]\r\n): PmsColor | undefined => {\r\n  return availablePmsColors?.find((color) => {\r\n    return color.name === colorName;\r\n  });\r\n};\r\n\r\nexport const logosByPosition = (\r\n  positionId: string,\r\n  shapes: AnnotationShape[],\r\n  positionShapeMap: Record<string, string>[]\r\n): LogoShape[] =>\r\n  shapes.filter((shape) =>\r\n    positionShapeMap.some(\r\n      (psm) =>\r\n        psm.id === positionId &&\r\n        psm.logoId === shape.id &&\r\n        shape.kind === 'Logo'\r\n    )\r\n  ) as LogoShape[];\r\n\r\nexport const textsByPosition = (\r\n  positionId: string,\r\n  shapes: AnnotationShape[],\r\n  positionShapeMap: Record<string, string>[]\r\n): TextShape[] =>\r\n  shapes\r\n    .filter((shape) =>\r\n      positionShapeMap.some(\r\n        (psm) => psm.id === positionId && psm.logoId === shape.id\r\n      )\r\n    )\r\n    .filter(textShapes) as TextShape[];\r\n\r\nexport const convertedColorToPms = (text: Text): PmsColor => {\r\n  return {\r\n    name: text.colorName,\r\n    originalName: text.colorName,\r\n    red: text.color[0],\r\n    green: text.color[1],\r\n    blue: text.color[2],\r\n    colorFuzz: 4,\r\n    isOriginalSpotColor: false,\r\n  } as PmsColor;\r\n};\r\n\r\nexport const extractCommercialRemarks = (\r\n  notifications: NotificationResult[]\r\n): string[] => {\r\n  return notifications\r\n    .filter(\r\n      (notification: NotificationResult) =>\r\n        notification.validatorName === 'commercialRemark'\r\n    )\r\n    .map((notification) => notification.message);\r\n};\r\n\r\nexport const mapProductCategoryConfiguration = (\r\n  productPrintPosition: ProductPrintPosition\r\n): CategoryConfiguration => {\r\n  const mirrorStore = useMirrorStore();\r\n\r\n  switch (productPrintPosition.category) {\r\n    case Category.Lanyard: {\r\n      const mirrorSettings = mirrorStore.positionMirrorSettings.find(\r\n        (x) => x.positionId === productPrintPosition.id\r\n      );\r\n      return {\r\n        $type:\r\n          'Customers.Domain.Models.LanayrdPrintPositionCategoryConfiguration, Customers.Domain',\r\n        isMirrorApplied: mirrorSettings?.isMirrorApplied,\r\n        isOppositeRotationApplied: mirrorSettings?.isOppositeRotationApplied,\r\n      } as LanyardConfiguration;\r\n    }\r\n    default: {\r\n      return {\r\n        $type:\r\n          'Customers.Domain.Models.RegularPrintPositionCategoryConfiguration, Customers.Domain',\r\n      } as RegularConfiguration;\r\n    }\r\n  }\r\n};\r\n\r\nexport function getProofFormFromState(isPdfPreview: boolean): NewProofForm {\r\n  const productStore = useProductStore();\r\n  const shapeStore = useShapeStore();\r\n\r\n  for (let i = 0; i < shapeStore.shapes.length; i++) {\r\n    shapeStore.shapes[i].zindex = i;\r\n  }\r\n\r\n  const actionStore = useActionStore();\r\n  const colorsManagementStore = useColorsManagementStore();\r\n\r\n  const newProofForm: NewProofForm = {\r\n    newProductPrintPositionForms: productStore.unavailablePrintPositions.map(\r\n      (u) => {\r\n        const productPrintPositions = productStore.printPositions;\r\n        const positions = shapeStore.positionShapeMap.filter(\r\n          (position: Record<string, string>) => {\r\n            return position.id === u.positionId;\r\n          }\r\n        );\r\n\r\n        const { width, height } = calculatePrintAreaV2(\r\n          positions,\r\n          shapeStore.shapes\r\n        );\r\n\r\n        const printTechnique = getPrintTechnique(\r\n          u.positionId,\r\n          u.technique.id,\r\n          productPrintPositions\r\n        ) as PrintTechnique;\r\n\r\n        const productPrintPosition = productStore.printPositions.find(\r\n          (x) => x.id === u.positionId\r\n        );\r\n\r\n        return {\r\n          name: u.positionName,\r\n          SAPCode: u.positionName,\r\n          printSizeWidthMm: width,\r\n          printSizeHeightMm: height,\r\n          category: productPrintPosition?.category ?? Category.Regular,\r\n          categoryConfiguration: productPrintPosition\r\n            ? mapProductCategoryConfiguration(productPrintPosition)\r\n            : null,\r\n          productPrintTechnique: {\r\n            name: u.technique.techniqueName,\r\n            SAPCode: getPrintTechniqueSapCode(\r\n              u.positionId,\r\n              u.technique.id,\r\n              productPrintPositions\r\n            ),\r\n            SAPRangeCode: determineRangeSAPCode(width, height, printTechnique),\r\n          },\r\n          personalizationTexts: textsByPosition(\r\n            u.positionId,\r\n            shapeStore.shapes,\r\n            shapeStore.positionShapeMap\r\n          ).map((text) => {\r\n            const angle = ((text.rotation as number) * 180) / Math.PI;\r\n\r\n            return {\r\n              id: text.id,\r\n              zIndex: text.zindex,\r\n              distanceFromTop: text?.yOnProductMM,\r\n              distanceFromLeft: text?.xOnProductMM,\r\n              width: text.widthOnProductMM,\r\n              height: text.heightOnProductMM,\r\n              rotationAngle: angle.toFixed(),\r\n              font: text.w2pText.fontFamily,\r\n              fontSize: text.w2pText.fontSizePT,\r\n              bold: text.w2pText.fontWeight === 'bold',\r\n              italic: text.w2pText.fontStyle === 'italic',\r\n              underline: false,\r\n              text: text.w2pText.text,\r\n              textHtml: text.w2pText.textHtml,\r\n              textAlignement: text.w2pText.textAlign,\r\n              pmsColorInfo: convertedColorToPms(text.w2pText),\r\n              originalWidthMM: text.originalWidthMM,\r\n              originalHeightMM: text.originalHeightMM,\r\n              variantArtworkImages: text.variantArtworkImages,\r\n              smallDetails:\r\n                DoSmallDetailsPart &&\r\n                text &&\r\n                text.smallDetailsResult &&\r\n                text.smallDetailsResult.status !== 'NoCheck'\r\n                  ? {\r\n                      positiveLoss: text.smallDetailsResult.positiveDetailsLoss,\r\n                      negativeLoss: text.smallDetailsResult.negativeDetailsLoss,\r\n                      status: text.smallDetailsResult.status,\r\n                      calculatedQuality:\r\n                        text.smallDetailsResult.calculatedQuality,\r\n                      approvedAt:\r\n                        !isPdfPreview && text.smallDetailsResult.approvedAt\r\n                          ? getUtcDateTime(text.smallDetailsResult.approvedAt)\r\n                          : null,\r\n                    }\r\n                  : null,\r\n            };\r\n          }),\r\n          personalizationArtworks: logosByPosition(\r\n            u.positionId,\r\n            shapeStore.shapes,\r\n            shapeStore.positionShapeMap\r\n          ).map((artwork) => {\r\n            const shape = shapeStore.shapes?.find((x) => x.id === artwork.id);\r\n            const angle = ((shape?.rotation as number) * 180) / Math.PI;\r\n            return {\r\n              id: artwork.personalizationArtworkId,\r\n              zIndex: artwork.zindex,\r\n              isRoundLogo: artwork.isRoundLogo,\r\n              widthWithCropping: shape?.widthOnProductMM,\r\n              heightWithCropping: shape?.heightOnProductMM,\r\n              pmsColorsInPngFile: artwork.pmsColorsInPngFile,\r\n              originalWidthMM: artwork.originalWidthMM,\r\n              originalHeightMM: artwork.originalHeightMM,\r\n              originalVerticalResolutionDPIs:\r\n                artwork.originalVerticalResolutionDPIs,\r\n              originalHorizontalResolutionDPIs:\r\n                artwork.originalHorizontalResolutionDPIs,\r\n              pngHorizontalResolutionDPIs:\r\n                artwork.pngHorizontalResolutionDPIs.toFixed(), // NOTE: Recalculate DPIs using formula\r\n              pngVerticalResolutionDPIs:\r\n                artwork.pngVerticalResolutionDPIs.toFixed(), // NOTE: Recalculate DPIs using formula\r\n              pngFileUrl: artwork.pngFileUrl,\r\n              pngWidthPixels: artwork.pngWidthPixels,\r\n              pngHeightPixels: artwork.pngHeightPixels,\r\n              distanceFromTopWithCropping: shape?.yOnProductMM,\r\n              distanceFromLeftWithCropping: shape?.xOnProductMM,\r\n              rotationAngle: angle.toFixed(),\r\n              title: artwork.title,\r\n              fileName: artwork.fileName,\r\n              isVectorFileTrueVectorFile: artwork.isVectorFileTrueVectorFile,\r\n              originalFileUrl: artwork.originalFileUrl,\r\n\r\n              userActions: actionStore.prepareActionsPayload(\r\n                artwork.personalizationArtworkId\r\n              ),\r\n              smallDetails:\r\n                DoSmallDetailsPart &&\r\n                shape &&\r\n                shape.smallDetailsResult &&\r\n                shape.smallDetailsResult.status !== 'NoCheck'\r\n                  ? {\r\n                      positiveLoss:\r\n                        shape.smallDetailsResult.positiveDetailsLoss,\r\n                      negativeLoss:\r\n                        shape.smallDetailsResult.negativeDetailsLoss,\r\n                      status: shape.smallDetailsResult.status,\r\n                      calculatedQuality:\r\n                        shape.smallDetailsResult.calculatedQuality,\r\n                      approvedAt:\r\n                        !isPdfPreview && shape.smallDetailsResult.approvedAt\r\n                          ? getUtcDateTime(shape.smallDetailsResult.approvedAt)\r\n                          : null,\r\n                    }\r\n                  : null,\r\n            };\r\n          }),\r\n        } as unknown as NewProductPrintPositionForms;\r\n      }\r\n    ),\r\n  };\r\n\r\n  return newProofForm;\r\n}\r\n\r\nexport function isShapeColorChanged(): boolean | undefined {\r\n  const shapeStore = useShapeStore();\r\n  const productStore = useProductStore();\r\n  const colorsManagementStore = useColorsManagementStore();\r\n  const posShapes = shapeStore.positionShapeMap.filter(\r\n    (element) => element.id === productStore.activePosition.id\r\n  );\r\n  let shapeColorElement: PmsColor | undefined;\r\n  //let isAvailablePmsColor = true;\r\n\r\n  shapeStore.shapes.forEach((shape: AnnotationShape) => {\r\n    if (\r\n      shape.kind === 'Logo' &&\r\n      posShapes.find((element) => element.logoId === shape.id)\r\n    ) {\r\n      shapeColorElement = shape.pmsColorsInPngFile.find(\r\n        (color: PmsColor) =>\r\n          color.name !== color.originalName && color.originalName !== undefined\r\n      );\r\n    }\r\n  });\r\n\r\n  // if (shapeColorElement) {\r\n  //   isAvailablePmsColor =\r\n  //     Object.keys(\r\n  //       colorsManagementStore.availablePmsColors?.find((c) => {\r\n  //         return c.name === shapeColorElement?.originalName;\r\n  //       }) || ({} as PmsColor)\r\n  //     ).length !== 0;\r\n  // }\r\n\r\n  return shapeColorElement !== undefined; //&& !isAvailablePmsColor;\r\n}\r\n\r\nexport const trySavePersonalization = async (\r\n  isEditMode: boolean,\r\n  pdpChoicesProductVariants: Array<ProductColorSetterType>,\r\n  sapCustomerId: string,\r\n  isConcept: boolean,\r\n  isDirectApproval: boolean,\r\n  customerCompanyLogoUrl: string,\r\n  languageInUse: string\r\n): Promise<string> => {\r\n  const shapeStore = useShapeStore();\r\n  const productStore = useProductStore();\r\n  const notificationStore = useNotificationStore();\r\n\r\n  const { shapes, personalization } = shapeStore;\r\n  const { sku, name } = productStore.data;\r\n  const files = await getArtworkFiles(shapes);\r\n  const variantFiles = getVariantFiles(shapes);\r\n  const smallDetailsFiles = DoSmallDetailsPart\r\n    ? getSmallDetailsFiles(shapes)\r\n    : [];\r\n  const textFiles = getTextFiles(shapes);\r\n\r\n  if (!isEditMode) {\r\n    const form: CreatePersonalizationForm = {\r\n      externalCustomerId: sapCustomerId,\r\n      productSKU: sku,\r\n      productName: name,\r\n      isConcept: isConcept,\r\n      isDirectApproval: isDirectApproval,\r\n      customerCompanyLogoUrl: customerCompanyLogoUrl,\r\n      contactLanguageCode: languageInUse,\r\n      creator: '',\r\n      proofType: 'AdvancedPersonalization',\r\n      productVariants: pdpChoicesProductVariants,\r\n      newProofForm: getProofFormFromState(false),\r\n      remarkCodes: extractCommercialRemarks(notificationStore.notifications),\r\n    } as unknown as CreatePersonalizationForm;\r\n\r\n    const {\r\n      data: { id: personalizationId },\r\n    } = await customerService.submitPersonalization(\r\n      files,\r\n      variantFiles,\r\n      smallDetailsFiles,\r\n      textFiles,\r\n      form\r\n    );\r\n\r\n    return personalizationId;\r\n  } else {\r\n    const command: UpdatePersonalizationCommand = {\r\n      name: personalization.proofs[0].name ?? '',\r\n      remarkCodes: extractCommercialRemarks(notificationStore.notifications),\r\n      ...getProofFormFromState(false),\r\n    };\r\n    await customerService.updatePersonalization(\r\n      files,\r\n      variantFiles,\r\n      smallDetailsFiles,\r\n      textFiles,\r\n      command,\r\n      personalization.id,\r\n      personalization.proofs[0].id\r\n    );\r\n\r\n    //Check if Order this item btn is clicked, if yes - complete personalization\r\n    if (!isConcept) {\r\n      await customerService.completePersonalization(personalization.id);\r\n    }\r\n\r\n    return personalization.id;\r\n  }\r\n};\r\n\r\nexport const generateProofPreview = async (\r\n  smallDetailsFiles: File[],\r\n  sapCustomerId: string,\r\n  customerCompanyLogoUrl: string,\r\n  languageInUse: string,\r\n  pdpChoices: PdpChoicesSetterType\r\n): Promise<ProofPreview> => {\r\n  const shapesStore = useShapeStore();\r\n  const productStore = useProductStore();\r\n  const notificationStore = useNotificationStore();\r\n\r\n  const files = await getArtworkFiles(shapesStore.shapes);\r\n  const variantFiles = getVariantFiles(shapesStore.shapes);\r\n  const textFiles = getTextFiles(shapesStore.shapes);\r\n  const { productVariants: pdpChoicesProductVariants } = pdpChoices;\r\n  const { sku, name } = productStore.data;\r\n  const { newProductPrintPositionForms } = getProofFormFromState(true);\r\n  const remarkCodes = extractCommercialRemarks(notificationStore.notifications);\r\n\r\n  const { data } = await customerService.generateProofPreview(\r\n    files,\r\n    variantFiles,\r\n    smallDetailsFiles,\r\n    textFiles,\r\n    {\r\n      externalCustomerId: sapCustomerId,\r\n      productSKU: sku,\r\n      productName: name,\r\n      customerCompanyLogoUrl: customerCompanyLogoUrl,\r\n      contactLanguageCode: languageInUse,\r\n      proofType: 'AdvancedPersonalization',\r\n      productVariants: pdpChoicesProductVariants,\r\n      productPrintPositionForms: newProductPrintPositionForms,\r\n      remarkCodes: remarkCodes,\r\n    }\r\n  );\r\n\r\n  return data;\r\n};\r\n\r\nexport function triggerSmallDetailsCheck(): boolean {\r\n  const shapeStore = useShapeStore();\r\n\r\n  return (\r\n    shapeStore.shapes.filter(\r\n      (x) =>\r\n        x.smallDetailsResult &&\r\n        (x.smallDetailsResult.status === 'Average' ||\r\n          x.smallDetailsResult.status === 'Bad' ||\r\n          !x.smallDetailsResult.isCheckValid)\r\n    ).length > 0\r\n  );\r\n}\r\n\r\nexport function isRevalidationNeeded(): boolean {\r\n  const shapeStore = useShapeStore();\r\n\r\n  return (\r\n    shapeStore.shapes.filter(\r\n      (x) => x.smallDetailsResult && x.smallDetailsResult.isCheckValid === false\r\n    ).length > 0\r\n  );\r\n}\r\n","export function getValueFromProductPrice(productPrice: string): number {\r\n  return Number(productPrice.replace(/[^\\d.]/g, ''));\r\n}\r\n\r\nexport function getCurrencyFromProductPrice(productPrice: string): string {\r\n  const currency = productPrice.match(/[^\\d.,\\s-]/g);\r\n  if (currency) {\r\n    return currency.join('');\r\n  }\r\n  return '';\r\n}\r\n","\r\nimport Vue, { PropType } from 'vue';\r\nimport ShoppingCartArrowDown16 from '@carbon/icons-vue/es/shopping--cart--arrow-down/16';\r\nimport { CvButton, CvTooltip } from '@carbon/vue';\r\nimport TotalPricing from './TotalPricing.vue';\r\nimport {\r\n  PdpChoicesSetterType,\r\n  PriceDetailsSetterTypeV2,\r\n} from '@/setters/typings';\r\nimport ChevronUp16 from '@carbon/icons-vue/es/chevron--up/16';\r\nimport { useStore as useShapeStore } from '@/stores/v2/shape';\r\nimport { mapState, mapActions } from 'pinia';\r\nimport { useStore as useProductStore } from '@/stores/v2/product';\r\nimport { useStore as useNotificationStore } from '@/stores/v2/notification';\r\nimport { useStore as useLangStore } from '@/stores/v2/lang';\r\nimport { useStore as useGlobalStore } from '@/stores/v2/global';\r\nimport {\r\n  trySavePersonalization,\r\n  triggerSmallDetailsCheck,\r\n} from '@/utils/personalizationHelperV2';\r\nimport { Personalization } from '@midocean/webapps-shared-domain';\r\nimport { DoSmallDetailsPart } from '@/constants/imageProcessingEngine';\r\nimport {\r\n  getCurrencyFromProductPrice,\r\n  getValueFromProductPrice,\r\n} from '@/utils/getValueFromProductPrice';\r\n\r\ndeclare module 'vue/types/vue' {\r\n  interface Vue {\r\n    $pdpChoices: PdpChoicesSetterType;\r\n    $sapCustomerId: string;\r\n    $isEditMode: boolean;\r\n    $personalization: Personalization;\r\n    $isDirectApproval: boolean;\r\n    $customerCompanyLogoUrl: string;\r\n    $isOrderDisabled: boolean;\r\n  }\r\n}\r\n\r\nexport default Vue.extend({\r\n  name: 'OrderDetails',\r\n  inject: [\r\n    '$pdpChoices',\r\n    '$sapCustomerId',\r\n    '$isEditMode',\r\n    '$personalization',\r\n    '$isDirectApproval',\r\n    '$customerCompanyLogoUrl',\r\n    '$isOrderDisabled',\r\n  ],\r\n  components: {\r\n    CvButton,\r\n    TotalPricing,\r\n    ChevronUp16,\r\n    CvTooltip,\r\n    ShoppingCartArrowDown16,\r\n  },\r\n  props: {\r\n    priceDetails: {\r\n      type: Object as PropType<PriceDetailsSetterTypeV2>,\r\n      required: true,\r\n    },\r\n    pdpChoicesData: {\r\n      type: Object as PropType<PdpChoicesSetterType>,\r\n      required: true,\r\n    },\r\n  },\r\n\r\n  data() {\r\n    return {\r\n      ShoppingCartArrowDown16,\r\n      showTotalPricing: false,\r\n    };\r\n  },\r\n\r\n  computed: {\r\n    ...mapState(useGlobalStore, ['isProcessingOrder', 'isLoaderActive']),\r\n    ...mapState(useShapeStore, ['shapes', 'activeShapeId']),\r\n    ...mapState(useProductStore, ['isAnyPositionAdded']),\r\n    ...mapState(useLangStore, ['languageInUse']),\r\n    ...mapState(useNotificationStore, [\r\n      'redAndOrangeNotifications',\r\n      'hasRedNotifications',\r\n    ]),\r\n    hasErrorsBesideSmallDetails(): boolean {\r\n      return (\r\n        this.hasRedNotifications &&\r\n        this.redAndOrangeNotifications.some(\r\n          (error) =>\r\n            error.validatorName !== 'smallDetails' &&\r\n            error.validatorColor === 'Red'\r\n        )\r\n      );\r\n    },\r\n    hasEmptyTexts(): boolean {\r\n      return this.shapes.some(\r\n        (shape) => shape.kind === 'Text' && shape.w2pText.text === ''\r\n      );\r\n    },\r\n    totalQuantity(): number {\r\n      return this.pdpChoicesData.productVariants\r\n        .map((v) => v.quantity)\r\n        .reduce((prev, current) => prev + current);\r\n    },\r\n    pricePerItem(): string {\r\n      const totalPrice = getValueFromProductPrice(this.priceDetails.totalPrice);\r\n      return (totalPrice / this.totalQuantity).toFixed(2);\r\n    },\r\n    currency(): string {\r\n      return getCurrencyFromProductPrice(this.priceDetails.totalPrice);\r\n    },\r\n  },\r\n  watch: {\r\n    priceDetails() {\r\n      console.log('OrderDetails - priceDetails updated', this.priceDetails);\r\n    },\r\n  },\r\n\r\n  mounted() {\r\n    console.log('OrderDetails - priceDetails', this.priceDetails);\r\n  },\r\n\r\n  methods: {\r\n    ...mapActions(useGlobalStore, [\r\n      'setIsProcessingOrder',\r\n      'setIsLoaderActive',\r\n    ]),\r\n\r\n    async handleOrderItem() {\r\n      if (DoSmallDetailsPart && triggerSmallDetailsCheck()) {\r\n        this.$emit('action:trigger-small-details');\r\n      } else {\r\n        try {\r\n          this.setIsProcessingOrder(true);\r\n          this.setIsLoaderActive(true);\r\n          const personalizationId = await trySavePersonalization(\r\n            this.$isEditMode,\r\n            this.pdpChoicesData.productVariants,\r\n            this.$sapCustomerId,\r\n            false,\r\n            this.$isDirectApproval,\r\n            this.$customerCompanyLogoUrl,\r\n            this.languageInUse\r\n          );\r\n\r\n          this.$emit('wizard:ordered', { personalizationId });\r\n          this.$emit('action:disable-pintura');\r\n        } catch (e: unknown) {\r\n          console.log((e as Error).message);\r\n        } finally {\r\n          this.setIsProcessingOrder(false);\r\n          this.setIsLoaderActive(false);\r\n        }\r\n      }\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./OrderDetails.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./OrderDetails.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./OrderDetails.vue?vue&type=template&id=a8f26848&scoped=true\"\nimport script from \"./OrderDetails.vue?vue&type=script&lang=ts\"\nexport * from \"./OrderDetails.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./OrderDetails.vue?vue&type=style&index=0&id=a8f26848&prod&lang=scss\")\nif (style0.__inject__) style0.__inject__(context)\nvar style1 = require(\"./OrderDetails.vue?vue&type=style&index=1&id=a8f26848&prod&lang=scss&scoped=true\")\nif (style1.__inject__) style1.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  \"a8f26848\",\n  null\n  ,true\n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('div',{staticClass:\"print-positions\"},[_c('print-positions-modal',{attrs:{\"sap-customer-id\":_vm.sapCustomerId,\"edit-id\":_vm.editId,\"tok\":_vm.tok},on:{\"print-position:action\":function($event){return _vm.$emit('positions:updated')},\"wizard:price-params-changed\":(event) => _vm.$emit('wizard:price-params-changed', event)}}),_c('h5',{staticClass:\"print-positions__header\"},[_vm._v(\" \"+_vm._s(_vm.$t('sidebar.print-positions'))+\" \")]),_vm._l((_vm.unavailablePrintPositions),function(position){return _c('div',{key:position.positionId,staticClass:\"print-positions__box\"},[_c('print-position-box',{attrs:{\"position\":position,\"is-delete-disabled\":_vm.isDeleteDisabled},on:{\"action:delete\":_vm.actionDeletePrintPosition,\"action:edit\":_vm.actionEditPrintPosition}})],1)}),(_vm.isAddEnabled)?_c('div',{staticClass:\"print-positions__add-section\"},[_c('add-32',{staticClass:\"print-positions__add-section--icon\",on:{\"click\":function($event){return _vm.openModal('')}}}),_c('p',{staticClass:\"print-positions__add-section--label\"},[_vm._v(\" \"+_vm._s(_vm.$t('sidebar.add-print-position'))+\" \")])],1):_vm._e(),(_vm.yesNoDialog)?_c('cv-modal',{staticClass:\"delete-position-modal\",attrs:{\"kind\":\"danger\",\"visible\":_vm.yesNoDialog,\"size\":\"small\"},on:{\"primary-click\":function($event){_vm.onDeletePrintPosition(_vm.positionToDelete.positionId),\n        (_vm.yesNoDialog = false)},\"secondary-click\":function($event){_vm.yesNoDialog = false},\"modal-hidden\":function($event){_vm.yesNoDialog = false}},scopedSlots:_vm._u([{key:\"title\",fn:function(){return [_vm._v(_vm._s(_vm.$t('dialog.print-position__title--delete', { positionName: _vm.selectedPrintPosition.name, })))]},proxy:true},{key:\"content\",fn:function(){return [_vm._v(\" \"+_vm._s(_vm.$t('notification-inline.delete-confirmation'))+\" \"),_c('strong',[_vm._v(_vm._s(_vm.selectedPrintPosition.name)+\" (\"+_vm._s(_vm.techniqueNameTranslated)+\")\")]),_vm._v(\"? \"),_c('br'),_vm._v(\" \"+_vm._s(_vm.$t('notification-inline.delete-warning'))+\" \")]},proxy:true},{key:\"primary-button\",fn:function(){return [_vm._v(_vm._s(_vm.$t('dialog.actions.delete')))]},proxy:true},{key:\"secondary-button\",fn:function(){return [_vm._v(_vm._s(_vm.$t('dialog.actions.cancel')))]},proxy:true}],null,false,2131569733)}):_vm._e()],2)\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return (Object.keys(_vm.position).length)?_c('div',{class:!_vm.isSelectedPrintPosition ? 'selected' : 'selected active-position',on:{\"click\":function($event){return _vm.selectPrintPosition(_vm.position)}}},[_c('div',{staticClass:\"selected__info\"},[_c('div',{staticClass:\"selected__info-thumbnail\"},[_c('img',{staticClass:\"selected__info-image\",attrs:{\"src\":_vm.selectedVariantImageUrl}})]),_c('div',{staticClass:\"selected__info--inner-wrap\"},[_c('h5',{staticClass:\"selected__info-name\"},[_vm._v(\" \"+_vm._s(_vm.position.positionName)+\" \")]),_c('span',{staticClass:\"selected__info-resolution\"},[_vm._v(_vm._s(`${_vm.position.maxWidthMm}mm x ${_vm.position.maxHeightMm}mm`))]),_c('p',{staticClass:\"selected__info-technique\"},[_vm._v(\" \"+_vm._s(_vm.techniqueNameTranslated)+\" : \"+_vm._s(_vm.maximumColoursRepresentation)+\" \")])])]),_c('div',{staticClass:\"editor-toolbar\"},[(!_vm.isDeleteDisabled)?_c('trash-can-16',{staticClass:\"trash-icon\",on:{\"click\":function($event){return _vm.$emit('action:delete', _vm.position)}}}):_vm._e(),_c('edit-16',{staticClass:\"edit-icon\",on:{\"click\":function($event){return _vm.$emit('action:edit', _vm.position.positionId)}}})],1)]):_vm._e()\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","\r\nimport Vue, { PropType } from 'vue';\r\nimport TrashCan16 from '@carbon/icons-vue/es/trash-can/16';\r\nimport Edit16 from '@carbon/icons-vue/es/edit/16';\r\nimport { ProductPrintPositionAddModel } from '@/typings';\r\nimport { mapActions, mapState } from 'pinia';\r\nimport { useStore as useProductStore } from '../../../../stores/v2/product';\r\nimport { useStore as useLangStore } from '../../../../stores/v2/lang';\r\nimport { UnavailableProductPrintPosition } from '../../typings/product';\r\n\r\nexport default Vue.extend({\r\n  name: 'PrintPositionBox',\r\n  components: {\r\n    TrashCan16,\r\n    Edit16,\r\n  },\r\n  props: {\r\n    isDeleteDisabled: {\r\n      type: Boolean,\r\n      required: false,\r\n      default: false,\r\n    },\r\n    position: {\r\n      type: Object as PropType<UnavailableProductPrintPosition>,\r\n      default: null,\r\n    },\r\n  },\r\n  computed: {\r\n    ...mapState(useProductStore, [\r\n      'selectedVariant',\r\n      'printPositions',\r\n      'isFullColor',\r\n      'getTechniqueMaxColors',\r\n      'selectedPrintPosition',\r\n    ]),\r\n    ...mapState(useLangStore, ['languageInUse']),\r\n\r\n    isSelectedPrintPosition(): boolean {\r\n      return this.selectedPrintPosition.id === this.position.positionId;\r\n    },\r\n\r\n    maximumColoursRepresentation(): string {\r\n      const isFullColor = this.isFullColor(this.position.positionId);\r\n\r\n      if (isFullColor) {\r\n        return this.$t('print-position.full-colour').toString();\r\n      }\r\n\r\n      const maxColors = this.getTechniqueMaxColors(\r\n        this.position.positionId,\r\n        this.position.technique.id\r\n      );\r\n\r\n      return maxColors === 1\r\n        ? this.$tc('print-position.number-colours')\r\n        : this.$tc('print-position.number-colours', maxColors, {\r\n            number: maxColors,\r\n          });\r\n    },\r\n\r\n    techniqueNameTranslated(): string {\r\n      const position = this.printPositions.find(\r\n        (p) => p.id === this.position.positionId\r\n      );\r\n      const technique = position?.printTechniques.find((technique) => {\r\n        return technique.id === this.position.technique.id;\r\n      });\r\n      const techniqueName = technique?.printTechnique.nameTranslations.find(\r\n        ({ language }) => language.code === this.languageInUse\r\n      )?.text;\r\n      return techniqueName || '';\r\n    },\r\n\r\n    selectedVariantImageUrl(): string | undefined {\r\n      if (this.position && this.selectedVariant) {\r\n        const variantImage = this.selectedVariant.images?.find(\r\n          (img) => img.printPositionID === this.position.positionId\r\n        );\r\n        return variantImage ? variantImage.imageThumbnailUrl : undefined;\r\n      }\r\n      return undefined;\r\n    },\r\n  },\r\n  methods: {\r\n    ...mapActions(useProductStore, ['setSelectedPrintPosition']),\r\n\r\n    selectPrintPosition(position: ProductPrintPositionAddModel) {\r\n      this.setSelectedPrintPosition(position.positionId);\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PrintPositionBox.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PrintPositionBox.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./PrintPositionBox.vue?vue&type=template&id=59834f29&scoped=true\"\nimport script from \"./PrintPositionBox.vue?vue&type=script&lang=ts\"\nexport * from \"./PrintPositionBox.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./PrintPositionBox.vue?vue&type=style&index=0&id=59834f29&prod&lang=scss\")\nif (style0.__inject__) style0.__inject__(context)\nvar style1 = require(\"./PrintPositionBox.vue?vue&type=style&index=1&id=59834f29&prod&lang=scss&scoped=true\")\nif (style1.__inject__) style1.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  \"59834f29\",\n  null\n  ,true\n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('div',[_c('modal',{attrs:{\"name\":\"print-positions-modal\",\"width\":\"900px\",\"height\":\"auto\",\"draggable\":false,\"scrollable\":true,\"click-to-close\":false}},[_c('print-positions-manager-v2',{attrs:{\"initial-positions\":_vm.unavailablePrintPositions,\"edit-id\":_vm.editId,\"variant-sku\":_vm.selectedVariant ? _vm.selectedVariant.sku : '',\"context\":'wizard',\"language-code\":_vm.languageInUse,\"tok\":_vm.tok,\"sap-customer-id\":_vm.sapCustomerId},on:{\"wizard:price-params-changed\":(event) => _vm.$emit('wizard:price-params-changed', event),\"wizard:print-position-edit\":_vm.onEditPrintPosition,\"action:print-techniques-see-more-details\":function($event){return _vm.$emit('action:print-techniques-see-more-details')},\"print-position:action\":function($event){return _vm.$emit('print-position:action')}}})],1)],1)\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('style-provider',[_c('the-app',{attrs:{\"value\":_vm.positions,\"edit-id\":_vm.editId,\"product-sku\":_vm.productSku,\"variant-sku\":_vm.variantSku},on:{\"print-position:action\":_vm.savePositions,\"print-position:cancel\":_vm.onCloseModal,\"action:print-techniques-see-more-details\":() => _vm.$emit('action:print-techniques-see-more-details')}})],1)\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('div',{staticClass:\"print-positions-manager\"},[_c('print-positions-manager-header',{on:{\"print-position:cancel\":function($event){return _vm.$emit('print-position:cancel')}}},[_vm._v(\" \"+_vm._s((!!_vm.editId && _vm.$t('print-position.action.edit')) || _vm.$t('print-position.action.add'))+\" \")]),_c('cv-grid',{staticClass:\"full-width--fix\",attrs:{\"full-width\":\"\"}},[_c('cv-row',{attrs:{\"kind\":\"condensed\"}},[_c('cv-column',{attrs:{\"sm\":4,\"md\":8,\"lg\":16,\"xlg\":16,\"max\":16}},[_c('div',{staticClass:\"wrapper\"},[_vm._l((_vm.printPositionsComputed),function(position){return [(position.readyToPrint)?_c('print-technique',{key:position.positionName,attrs:{\"options\":position.options,\"position-id\":position.id,\"position-name\":position.positionName,\"position-dimensions\":position.dimensions,\"enabled\":position.enabled || position.id === _vm.editId,\"value\":_vm.internalModel.find(\n                  (model) => model.positionId === position.id\n                )},on:{\"input\":_vm.updateInternalModel,\"clear-selection\":_vm.clearTechniqueSelection},scopedSlots:_vm._u([{key:\"print-technique-image\",fn:function(){return [_c('print-technique-image',{attrs:{\"src\":position.cover}})]},proxy:true}],null,true)}):_vm._e()]})],2)])],1)],1),(_vm.printPositionsComputed && _vm.printPositionsComputed.length > 0)?_c('cv-accordion',{attrs:{\"align\":_vm.end}},[_c('cv-accordion-item',[_c('template',{slot:\"title\"},[_vm._v(_vm._s(_vm.$t('print-technique.action.more-details-about')))]),_c('template',{slot:\"content\"},[_c('cv-grid',{staticClass:\"techniques\",attrs:{\"full-width\":\"\"}},[_c('cv-row',{attrs:{\"kind\":\"condensed\"}},[_c('cv-column',{attrs:{\"sm\":4,\"md\":8,\"lg\":16,\"xlg\":16,\"max\":16}},[_c('div',{staticClass:\"wrapper\"},[_vm._l((_vm.data.groups.slice(0, 6)),function(group){return [_c('print-technique-group',{key:group.name,attrs:{\"data\":group}})]})],2),_c('div',{staticClass:\"more-details\"},[_c('a',{attrs:{\"id\":\"see-more-details\",\"href\":\"#\"},on:{\"click\":function($event){return _vm.$emit('action:print-techniques-see-more-details')}}},[_vm._v(\" \"+_vm._s(_vm.$t('print-technique.action.see-more-details'))+\" \")])])])],1)],1)],1)],2)],1):_vm._e(),_c('print-positions-manager-footer',{attrs:{\"is-add-enabled\":_vm.isAddEnabled,\"is-action-edit\":!!_vm.editId,\"is-warning-shown\":_vm.isWarningShown},on:{\"print-position:action\":function($event){return _vm.updateModel(_vm.internalModel)},\"print-position:cancel\":function($event){return _vm.$emit('print-position:cancel')}}})],1)\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('div',{staticClass:\"print-technique\",class:{ 'print-technique--enabled': _vm.enabled }},[_c('div',[_c('print-technique-header',{attrs:{\"title\":_vm.positionName,\"dimensions\":_vm.dimensions}}),_vm._t(\"print-technique-image\"),_c('div',{staticClass:\"print-technique-radios\"},[_vm._l((_vm.options),function(option,index){return [_c('cv-radio-group',{key:option.id,attrs:{\"vertical\":true}},[(option.readyToPrint)?_c('cv-radio-button',{attrs:{\"id\":`${_vm.positionName}-technique-${index}`,\"label\":option.techniqueName,\"value\":option.techniqueName || '',\"disabled\":!_vm.enabled,\"type\":\"radio\",\"checked\":option.id === _vm.value.technique.id},on:{\"change\":function($event){return _vm.onOptionChange(option)}}}):_vm._e(),(option.readyToPrint)?_c('span',{staticClass:\"technique_max-colours\",class:{\n              'technique_max-colours--disabled': !_vm.enabled,\n            }},[_vm._v(_vm._s(_vm.getMaximumColoursRepresentation( option.maximumColours, option.isFullColor ))+\" \")]):_vm._e()],1)]})],2)],2),_c('cv-button',{staticClass:\"print-technique-deselect\",attrs:{\"kind\":\"ghost\",\"disabled\":!_vm.enabled},on:{\"click\":_vm.onResetOptions}},[_vm._v(_vm._s(_vm.$t('print-position.action.clear-selection')))])],1)\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('div',{staticClass:\"wrapper\"},[_c('span',{attrs:{\"id\":\"title\"}},[_vm._v(_vm._s(_vm.title))]),_c('span',{attrs:{\"id\":\"dimensions\"}},[_vm._v(_vm._s(_vm.dimensions))])])\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","\r\nimport Vue from 'vue';\r\nexport default Vue.extend({\r\n  props: {\r\n    title: {\r\n      type: String,\r\n      required: true,\r\n    },\r\n    dimensions: {\r\n      type: String,\r\n      required: true,\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../node_modules/babel-loader/lib/index.js!../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PrintTechniqueHeader.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../node_modules/babel-loader/lib/index.js!../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PrintTechniqueHeader.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./PrintTechniqueHeader.vue?vue&type=template&id=893df954&scoped=true\"\nimport script from \"./PrintTechniqueHeader.vue?vue&type=script&lang=ts\"\nexport * from \"./PrintTechniqueHeader.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./PrintTechniqueHeader.vue?vue&type=style&index=0&id=893df954&prod&lang=scss&scoped=true\")\nif (style0.__inject__) style0.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  \"893df954\",\n  null\n  ,true\n)\n\nexport default component.exports","\r\nimport Vue, { PropType } from 'vue';\r\n\r\nimport { CvRadioGroup, CvRadioButton, CvButton } from '@carbon/vue';\r\nimport PrintTechniqueHeader from './PrintTechniqueHeader.vue';\r\nimport { ProductPrintPositionAddModel } from '@/typings';\r\nimport { LocaleMessage } from 'vue-i18n';\r\n\r\nexport default Vue.extend({\r\n  name: 'PrintTechnique',\r\n  components: {\r\n    PrintTechniqueHeader,\r\n    CvRadioGroup,\r\n    CvRadioButton,\r\n    CvButton,\r\n  },\r\n  props: {\r\n    positionId: {\r\n      type: String,\r\n      required: true,\r\n    },\r\n    positionName: {\r\n      type: String,\r\n      required: true,\r\n    },\r\n    positionDimensions: {\r\n      type: Object as PropType<{ width: number; height: number }>,\r\n      required: true,\r\n    },\r\n    enabled: {\r\n      type: Boolean,\r\n      default: true,\r\n    },\r\n    /**\r\n     * This concrete print position's model value\r\n     */\r\n    value: {\r\n      type: Object,\r\n      default: () => ({\r\n        positionId: null,\r\n        positionName: 'uninitialised',\r\n        technique: { id: null },\r\n      }),\r\n    },\r\n    /**\r\n     * This concrete print postion's specific options\r\n     */\r\n    options: {\r\n      type: Array,\r\n      required: true,\r\n    },\r\n  },\r\n\r\n  computed: {\r\n    dimensions(): string {\r\n      const { height, width } = this.positionDimensions;\r\n      return `${width}mm x ${height}mm`;\r\n    },\r\n  },\r\n\r\n  methods: {\r\n    getMaximumColoursRepresentation(\r\n      numColours: number,\r\n      isFullColor: boolean\r\n    ): string | LocaleMessage {\r\n      return isFullColor\r\n        ? this.$t('print-position.full-colour')\r\n        : this.$t(`print-position.max-colours`) + `: ${numColours}`;\r\n    },\r\n    onResetOptions(option: any) {\r\n      if (!this.value.positionId) return;\r\n      this.$emit('clear-selection', {\r\n        ...this.value,\r\n        positionId: this.positionId,\r\n        positionName: this.positionName,\r\n        printPositionSAPCode: this.positionName,\r\n        maxHeightMm: this.positionDimensions.height,\r\n        maxWidthMm: this.positionDimensions.width,\r\n        technique: {\r\n          id: option.id,\r\n          techniqueName: option.techniqueName,\r\n          printTechniqueSAPCode: option.printTechniqueSAPCode,\r\n          groupCode: option.groupCode,\r\n        },\r\n      });\r\n    },\r\n    onOptionChange(option: any) {\r\n      this.$emit('input', {\r\n        ...this.value,\r\n        positionId: this.positionId,\r\n        positionName: this.positionName,\r\n        printPositionSAPCode: this.positionName,\r\n        maxHeightMm: this.positionDimensions.height,\r\n        maxWidthMm: this.positionDimensions.width,\r\n        technique: {\r\n          id: option.id,\r\n          techniqueName: option.techniqueName,\r\n          printTechniqueSAPCode: option.printTechniqueSAPCode,\r\n          groupCode: option.groupCode,\r\n        },\r\n      });\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../node_modules/babel-loader/lib/index.js!../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PrintTechnique.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../node_modules/babel-loader/lib/index.js!../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PrintTechnique.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./PrintTechnique.vue?vue&type=template&id=4b944288\"\nimport script from \"./PrintTechnique.vue?vue&type=script&lang=ts\"\nexport * from \"./PrintTechnique.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./PrintTechnique.vue?vue&type=style&index=0&id=4b944288&prod&lang=scss\")\nif (style0.__inject__) style0.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  null,\n  null\n  ,true\n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('cv-header',{staticClass:\"header\"},[_c('cv-header-name',[_c('span',[_vm._t(\"default\")],2)]),_c('cv-icon-button',{attrs:{\"label\":'close',\"tip-position\":\"right\",\"tip-alignment\":\"start\",\"kind\":\"ghost\"},on:{\"click\":function($event){return _vm.$emit('print-position:cancel')}},scopedSlots:_vm._u([{key:\"icon\",fn:function(){return [_c('close-20')]},proxy:true}])})],1)\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","\r\nimport Vue from 'vue';\r\nimport { CvHeader, CvHeaderName, CvIconButton } from '@carbon/vue';\r\nimport Close20 from '@carbon/icons-vue/es/close/20';\r\n\r\nexport default Vue.extend({\r\n  components: {\r\n    CvHeader,\r\n    CvHeaderName,\r\n    CvIconButton,\r\n    Close20,\r\n  },\r\n});\r\n","import mod from \"-!../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../node_modules/babel-loader/lib/index.js!../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PrintPositionsManagerHeader.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../node_modules/babel-loader/lib/index.js!../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PrintPositionsManagerHeader.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./PrintPositionsManagerHeader.vue?vue&type=template&id=3e8fd6b9&scoped=true\"\nimport script from \"./PrintPositionsManagerHeader.vue?vue&type=script&lang=ts\"\nexport * from \"./PrintPositionsManagerHeader.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./PrintPositionsManagerHeader.vue?vue&type=style&index=0&id=3e8fd6b9&prod&lang=scss&scoped=true\")\nif (style0.__inject__) style0.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  \"3e8fd6b9\",\n  null\n  ,true\n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('div',[(_vm.isActionEdit && _vm.isWarningShown)?_c('div',{staticClass:\"inline-notification__wrapper\"},[_c('cv-inline-notification',{attrs:{\"kind\":\"warning\",\"title\":_vm.$t('notification-inline.position-switch__title'),\"sub-title\":_vm.$t('notification-inline.position-switch__subtitle'),\"hide-close-button\":true}})],1):_vm._e(),_c('div',{staticClass:\"print-positions__footer\"},[_c('cv-button-set',[_c('cv-button',{attrs:{\"kind\":\"secondary\"},on:{\"click\":function($event){return _vm.$emit('print-position:cancel')}}},[_vm._v(_vm._s(_vm.$t('section.actions.cancel')))]),_c('cv-button',{attrs:{\"disabled\":!_vm.isAddEnabled},on:{\"click\":function($event){return _vm.$emit('print-position:action')}}},[_vm._v(_vm._s(_vm.isActionEdit ? _vm.$t('main.actions.edit') : _vm.$t('main.actions.add')))])],1)],1)])\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","\r\nimport Vue from 'vue';\r\n\r\nimport { CvButton, CvButtonSet, CvInlineNotification } from '@carbon/vue';\r\n\r\nexport default Vue.extend({\r\n  components: { CvButton, CvButtonSet, CvInlineNotification },\r\n  props: {\r\n    isAddEnabled: {\r\n      type: Boolean,\r\n      required: true,\r\n    },\r\n    isActionEdit: {\r\n      type: Boolean,\r\n      required: true,\r\n    },\r\n    isWarningShown: {\r\n      type: Boolean,\r\n      required: true,\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../node_modules/babel-loader/lib/index.js!../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PrintPositionsManagerFooter.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../node_modules/babel-loader/lib/index.js!../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PrintPositionsManagerFooter.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./PrintPositionsManagerFooter.vue?vue&type=template&id=b6ae7dba\"\nimport script from \"./PrintPositionsManagerFooter.vue?vue&type=script&lang=ts\"\nexport * from \"./PrintPositionsManagerFooter.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./PrintPositionsManagerFooter.vue?vue&type=style&index=0&id=b6ae7dba&prod&lang=scss\")\nif (style0.__inject__) style0.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  null,\n  null\n  ,true\n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('div',{staticClass:\"wrapper thumbnail\"},[_c('img',{style:({ display: 'block', margin: '1.5rem auto' }),attrs:{\"src\":_vm.src,\"alt\":\"example product image\",\"width\":\"80px\"}})])\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","\r\nimport Vue from 'vue';\r\n\r\nexport default Vue.extend({\r\n  props: {\r\n    src: {\r\n      type: String,\r\n      required: true,\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../node_modules/babel-loader/lib/index.js!../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PrintTechniqueImage.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../node_modules/babel-loader/lib/index.js!../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PrintTechniqueImage.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./PrintTechniqueImage.vue?vue&type=template&id=0979e9db&scoped=true\"\nimport script from \"./PrintTechniqueImage.vue?vue&type=script&lang=ts\"\nexport * from \"./PrintTechniqueImage.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./PrintTechniqueImage.vue?vue&type=style&index=0&id=0979e9db&prod&lang=scss&scoped=true\")\nif (style0.__inject__) style0.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  \"0979e9db\",\n  null\n  ,true\n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('div',{staticClass:\"print-technique-group\"},[_c('div',[_c('span',{attrs:{\"id\":\"title\"}},[_vm._v(_vm._s(_vm.getTechniqueName()))]),_c('div',[_vm._l((_vm.data.characteristics),function(characteristic){return _c('div',{key:characteristic.id,staticClass:\"characteristic-item\",attrs:{\"id\":characteristic.id}},[(characteristic.isAdvantage)?_c('Checkmark16',{attrs:{\"id\":\"pro\"}}):_vm._e(),(!characteristic.isAdvantage)?_c('Close16',{attrs:{\"id\":\"con\"}}):_vm._e(),_c('span',{staticClass:\"characteristic-name\"},[_vm._v(\" \"+_vm._s(_vm.getCharacteristicName(characteristic))+\" \")])],1)})],2)])])\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","\r\nimport Vue, { PropType } from 'vue';\r\nimport { mapState } from 'pinia';\r\nimport { useStore as useLangStore } from '@/stores/v2/lang';\r\nimport { Checkmark16, Close16 } from '@carbon/icons-vue';\r\nimport {\r\n  ProductPrintDataGroup,\r\n  ProductPrintDataGroupCharacteristic,\r\n} from '@midocean/webapps-shared-domain';\r\n\r\nexport default Vue.extend({\r\n  name: 'PrintTechniqueGroup',\r\n  components: {\r\n    Checkmark16,\r\n    Close16,\r\n  },\r\n  props: {\r\n    data: {\r\n      type: Object as PropType<ProductPrintDataGroup>,\r\n    },\r\n  },\r\n  computed: {\r\n    ...mapState(useLangStore, ['languageInUse']),\r\n  },\r\n  methods: {\r\n    getTechniqueName(): string {\r\n      const techniqueName = this.data?.nameTranslations.find(\r\n        ({ language }) => language.code === this.languageInUse\r\n      )?.text;\r\n      return techniqueName || '';\r\n    },\r\n    getCharacteristicName(\r\n      characteristic: ProductPrintDataGroupCharacteristic\r\n    ): string {\r\n      const characteristicName = characteristic?.nameTranslations.find(\r\n        ({ language }) => language.code === this.languageInUse\r\n      )?.text;\r\n      return characteristicName || '';\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../node_modules/babel-loader/lib/index.js!../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PrintTechniqueGroup.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../node_modules/babel-loader/lib/index.js!../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PrintTechniqueGroup.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./PrintTechniqueGroup.vue?vue&type=template&id=53499622\"\nimport script from \"./PrintTechniqueGroup.vue?vue&type=script&lang=ts\"\nexport * from \"./PrintTechniqueGroup.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./PrintTechniqueGroup.vue?vue&type=style&index=0&id=53499622&prod&lang=scss\")\nif (style0.__inject__) style0.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  null,\n  null\n  ,true\n)\n\nexport default component.exports","\r\nimport Vue, { PropType } from 'vue';\r\nimport customersAPI from '@/services/CustomersService';\r\nimport {\r\n  CvGrid,\r\n  CvColumn,\r\n  CvRow,\r\n  CvAccordion,\r\n  CvAccordionItem,\r\n} from '@carbon/vue';\r\nimport {\r\n  PrintTechnique,\r\n  PrintTechniqueGroup,\r\n  PrintPositionsManagerHeader,\r\n  PrintPositionsManagerFooter,\r\n  PrintTechniqueImage,\r\n} from './components';\r\n\r\nimport { mapActions, mapState, mapStores } from 'pinia';\r\nimport { useStore as useProductStore } from '@/stores/v2/product';\r\nimport { useStore as useLangStore } from '@/stores/v2/lang';\r\nimport { useStore as useMirrorStore } from '@/stores/v2/mirror';\r\nimport { useStore as useShapeStore } from '@/stores/v2/shape';\r\nimport { ProductPrintPositionAddModel } from '@/typings';\r\nimport { PrintTechnique as PrintTechniqueType } from '@midocean/webapps-shared-domain';\r\n\r\nexport default Vue.extend({\r\n  components: {\r\n    PrintTechnique,\r\n    PrintTechniqueGroup,\r\n    PrintPositionsManagerHeader,\r\n    PrintPositionsManagerFooter,\r\n    PrintTechniqueImage,\r\n    CvGrid,\r\n    CvRow,\r\n    CvColumn,\r\n    CvAccordion,\r\n    CvAccordionItem,\r\n  },\r\n  props: {\r\n    value: {\r\n      type: [] as PropType<ProductPrintPositionAddModel[]>,\r\n      required: true,\r\n    },\r\n    /**\r\n     * When editId is provided, we know that we are in EDIT mode\r\n     */\r\n    editId: {\r\n      type: String,\r\n      required: true,\r\n    },\r\n    productSku: {\r\n      type: String,\r\n      required: false,\r\n    },\r\n    variantSku: {\r\n      type: String,\r\n      required: false,\r\n    },\r\n  },\r\n  data() {\r\n    return {\r\n      internalModel: [] as ProductPrintPositionAddModel[],\r\n      currentEditingItemId: this.editId,\r\n      /**\r\n       * Flag to tell if we should show the warning message\r\n       * In cases when position is about to be switched -\r\n       * (does not apply when switching techniques within the same position)\r\n       */\r\n      isWarningShown: false,\r\n      lastSwap: {} as { from: string; to: string },\r\n      end: 'end',\r\n    };\r\n  },\r\n  computed: {\r\n    ...mapState(useProductStore, [\r\n      'data',\r\n      'lastManagedPrintPositionId',\r\n      'selectedVariant',\r\n    ]),\r\n    ...mapStores(useProductStore),\r\n    ...mapState(useLangStore, ['languageInUse']),\r\n    printPositionsComputed():\r\n      | { id: string; positionName: string; enabled: boolean }[]\r\n      | undefined {\r\n      return (\r\n        this.data.productPrintPositions &&\r\n        this.data.productPrintPositions.map((position) => {\r\n          const {\r\n            id,\r\n            name,\r\n            printTechniques,\r\n            maxWidthMm,\r\n            maxHeightMm,\r\n            readyToPrint,\r\n          } = position;\r\n\r\n          const getTechniqueTranslation = (\r\n            lang: string,\r\n            technique: PrintTechniqueType\r\n          ) => {\r\n            return technique.printTechnique.nameTranslations.find(\r\n              ({ language }) => language.code === lang\r\n            )?.text;\r\n          };\r\n\r\n          return {\r\n            id,\r\n            positionName: name,\r\n            options: printTechniques.map((technique) => ({\r\n              id: technique.id,\r\n              maximumColours: technique.maximumColours,\r\n              isFullColor: technique.printTechnique.isFullColor,\r\n              printTechniqueSAPCode: technique.printTechnique.code,\r\n              techniqueName:\r\n                getTechniqueTranslation(this.languageInUse, technique) ||\r\n                getTechniqueTranslation('en', technique),\r\n              groupCode: technique.printTechnique.group.code,\r\n              readyToPrint: technique.readyToPrint,\r\n            })),\r\n            dimensions: {\r\n              width: maxWidthMm,\r\n              height: maxHeightMm,\r\n            },\r\n            cover:\r\n              this.data.variants\r\n                .find((v) => v.sku === this.variantSku)\r\n                ?.images.find((img) => img.printPositionID === id)\r\n                ?.imageThumbnailUrl || '',\r\n            enabled: !this.value.some(({ positionId }) => positionId === id),\r\n            readyToPrint,\r\n          };\r\n        })\r\n      );\r\n    },\r\n\r\n    isAddEnabled(): boolean {\r\n      if (this.editId) {\r\n        if (this.printPositionsComputed) {\r\n          let selectablePositionIds = this.printPositionsComputed\r\n            .filter((x) => x.enabled || x.id === this.editId)\r\n            .map((position) => position.id);\r\n          return (\r\n            this.internalModel.filter(\r\n              (x) => selectablePositionIds.lastIndexOf(x.positionId) !== -1\r\n            ).length > 0\r\n          );\r\n        } else {\r\n          return false;\r\n        }\r\n      } else {\r\n        return (\r\n          /**\r\n           * Do we have any free positions left to select/add!?\r\n           */\r\n\r\n          this.data.productPrintPositions?.length > this.value.length &&\r\n          /**\r\n           * Do we have selected something, other than previously selected and\r\n           * now disabled ones!?\r\n           */\r\n          this.internalModel.length - this.value.length > 0\r\n        );\r\n      }\r\n    },\r\n  },\r\n  async mounted() {\r\n    this.internalModel = [...this.value];\r\n  },\r\n\r\n  methods: {\r\n    log: console.log,\r\n    ...mapActions(useProductStore, ['getProduct']),\r\n    ...mapActions(useShapeStore, ['reassignRefs']),\r\n    ...mapActions(useMirrorStore, ['reassignMirrorShapes']),\r\n\r\n    saveSwap({ from, to }: { from: string; to: string }) {\r\n      this.lastSwap = {\r\n        from,\r\n        to,\r\n      };\r\n    },\r\n\r\n    updateModel(value: ProductPrintPositionAddModel[]) {\r\n      /**\r\n       * Reassing shape references when switching positions\r\n       */\r\n      if (this.lastSwap.to) {\r\n        this.reassignRefs(this.lastSwap as { from: string; to: string });\r\n        this.reassignMirrorShapes(\r\n          this.lastSwap as { from: string; to: string }\r\n        );\r\n      }\r\n\r\n      /**\r\n       * Send model updates to parent\r\n       */\r\n      this.$emit('print-position:action', [...value], this.lastSwap);\r\n      /**\r\n       * Close the modal after edit/add action\r\n       */\r\n\r\n      this.$modal.hide('print-positions-modal');\r\n      //this.$emit('print-position:cancel');\r\n    },\r\n\r\n    updateInternalModel(value: ProductPrintPositionAddModel) {\r\n      /**\r\n       * If editId is available we are in edit mode\r\n       * so we enter a position switching logic\r\n       */\r\n      if (this.editId) {\r\n        /**\r\n         * Keep the reference to the last managed print position\r\n         */\r\n        this.productStore.$patch({\r\n          lastManagedPrintPositionId: value.positionId,\r\n        });\r\n\r\n        /**\r\n         * When we deviate from the original item, we began editing with\r\n         * we issue a warning that some unpredictable behaviour may occur\r\n         */\r\n\r\n        this.isWarningShown = this.editId !== value.positionId;\r\n\r\n        const swapFrom = this.internalModel.find((m) => {\r\n          return m.positionId === this.currentEditingItemId;\r\n        });\r\n\r\n        const swapTo = { ...value };\r\n        this.currentEditingItemId = value.positionId;\r\n\r\n        if (swapFrom) {\r\n          this.internalModel.splice(\r\n            this.internalModel.findIndex(\r\n              (im) => im.positionId === swapFrom?.positionId\r\n            ),\r\n            1,\r\n            swapTo\r\n          );\r\n        } else {\r\n          this.internalModel.push(value);\r\n        }\r\n\r\n        /**\r\n         * Keep reference to last swap so we can reassign logo refs for edited\r\n         * position\r\n         */\r\n        this.saveSwap({\r\n          from: this.editId,\r\n          to: swapTo.positionId,\r\n        });\r\n\r\n        return;\r\n      }\r\n      /**\r\n       * End edit mode\r\n       */\r\n\r\n      /**\r\n       * Begin add mode\r\n       */\r\n      const modelIndex = this.internalModel.findIndex(\r\n        (position) => position.positionName === value.positionName\r\n      );\r\n      if (modelIndex > -1) {\r\n        /**\r\n         * Position exists, we update the model\r\n         */\r\n        this.internalModel.splice(modelIndex, 1, value);\r\n      } else {\r\n        /**\r\n         * Otherwise we just add the new model to the list\r\n         */\r\n        this.internalModel.push(value);\r\n      }\r\n    },\r\n    clearTechniqueSelection(value: ProductPrintPositionAddModel) {\r\n      const modelIndex = this.internalModel.findIndex(\r\n        (position) => position.positionName === value.positionName\r\n      );\r\n      if (modelIndex > -1) {\r\n        this.internalModel = this.internalModel.filter(\r\n          (model) => model.positionId !== value.positionId\r\n        );\r\n      }\r\n    },\r\n  },\r\n  watch: {\r\n    value(val) {\r\n      this.internalModel = [...val];\r\n    },\r\n    async languageInUse() {\r\n      if (process.env.VUE_APP_USE_LOCAL_TRANSLATIONS === 'false') {\r\n        var translationsJson = await customersAPI.getTranslations(\r\n          this.languageInUse\r\n        );\r\n        this.$i18n.setLocaleMessage(this.languageInUse, translationsJson.data);\r\n      }\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/ts-loader/index.js??ref--15-2!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./TheApp.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/ts-loader/index.js??ref--15-2!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./TheApp.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./TheApp.vue?vue&type=template&id=49f655d7&scoped=true\"\nimport script from \"./TheApp.vue?vue&type=script&lang=ts\"\nexport * from \"./TheApp.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./TheApp.vue?vue&type=style&index=0&id=49f655d7&prod&lang=scss&scoped=true\")\nif (style0.__inject__) style0.__inject__(context)\nvar style1 = require(\"./TheApp.vue?vue&type=style&index=1&id=49f655d7&prod&lang=scss\")\nif (style1.__inject__) style1.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  \"49f655d7\",\n  null\n  ,true\n)\n\nexport default component.exports","import { defineStore } from 'pinia';\r\n\r\nexport const useStore = defineStore({\r\n  id: 'auth',\r\n\r\n  state: () => {\r\n    return {\r\n      sapCustomerId: '',\r\n      isTokValid: true,\r\n      tok: '',\r\n    };\r\n  },\r\n\r\n  actions: {\r\n    setSapCustomerId(id: string) {\r\n      this.sapCustomerId = id;\r\n    },\r\n    setTok(token: string) {\r\n      this.tok = token;\r\n    },\r\n    setIsTokValid(isTokenValid: boolean) {\r\n      this.isTokValid = isTokenValid;\r\n    },\r\n  },\r\n});\r\n","\r\nimport StyleProvider from '@/StyleProvider.vue';\r\nimport TheApp from './TheApp.vue';\r\nimport Vue, { PropType } from 'vue';\r\nimport i18n from '@/i18n';\r\nimport isValidLanguageValidator from '@/validators/langLocaleValidator';\r\nimport { useStore as useProductStore } from '@/stores/v2/product';\r\nimport { useStore as useLangStore } from '@/stores/v2/lang';\r\nimport { useStore as useShapeStore } from '@/stores/v2/shape';\r\nimport { useStore as useAuthStore } from '@/stores/v2/auth';\r\nimport { useStore as useMirrorStore } from '@/stores/v2/mirror';\r\nimport { useStore as useHistoryStore } from '@/stores/v2/history';\r\nimport { useStore as useNotificationStore } from '@/stores/v2/notification';\r\nimport { pinia } from '@/pinia';\r\nimport { mapActions, mapState, mapStores, PiniaVuePlugin } from 'pinia';\r\nimport { ProductPrintPositionAddModel } from '@/typings';\r\nimport { ComputedRef } from 'vue';\r\nimport { PDPPrintPositionsModel } from '@/typings/ProductPrintData';\r\nimport {\r\n  generateEventPayload,\r\n  generateEventPayloadV2,\r\n} from '@/utils/generatePriceParamsEventPayload';\r\nimport { SupportedLangCodes } from '../../constants/languageCodes';\r\nimport { createStateSnapshot } from '@/utils/historyHelperV2';\r\n\r\nconst EMPTY_GUID = '00000000-0000-0000-0000-000000000000';\r\n\r\nVue.use(PiniaVuePlugin);\r\n\r\ndeclare module 'vue/types/vue' {\r\n  interface Vue {\r\n    $printPositions: ComputedRef;\r\n  }\r\n}\r\nexport default Vue.extend({\r\n  name: 'PrintPositionsManagerV2',\r\n  components: {\r\n    StyleProvider,\r\n    TheApp,\r\n  },\r\n  inject: {\r\n    $printPositions: {\r\n      default: [],\r\n    },\r\n  },\r\n  props: {\r\n    sapCustomerId: {\r\n      type: String,\r\n      required: false,\r\n      default: '',\r\n    },\r\n    tok: {\r\n      type: String,\r\n      required: true,\r\n    },\r\n    languageCode: {\r\n      type: String as PropType<SupportedLangCodes>,\r\n      required: false,\r\n      default: 'en',\r\n      validator: isValidLanguageValidator,\r\n    },\r\n    editId: {\r\n      type: String,\r\n      required: false,\r\n      default: '',\r\n    },\r\n    productSku: {\r\n      type: String,\r\n      required: false,\r\n      default: '',\r\n    },\r\n    variantSku: {\r\n      type: String,\r\n      required: false,\r\n      default: '',\r\n    },\r\n    context: {\r\n      type: String,\r\n      required: true,\r\n      default: 'pdp',\r\n    },\r\n    /**\r\n     * If needed initially occupied positions with their respective techniques\r\n     * can be specified\r\n     */\r\n    initialPositions: {\r\n      type: [] as PropType<PDPPrintPositionsModel[]>,\r\n      default() {\r\n        return [];\r\n      },\r\n    },\r\n  },\r\n  data() {\r\n    return {\r\n      positions: [] as ProductPrintPositionAddModel[],\r\n    };\r\n  },\r\n  computed: {\r\n    ...mapStores(useProductStore, useHistoryStore, useNotificationStore),\r\n    ...mapState(useAuthStore, ['isTokValid']),\r\n    ...mapState(useProductStore, [\r\n      'data',\r\n      'unavailablePrintPositions',\r\n      'positionsSetFromProps',\r\n      'isLaserConverter',\r\n    ]),\r\n    ...mapState(useShapeStore, ['positionShapeMap']),\r\n    ...mapState(useMirrorStore, ['positionMirrorSettings']),\r\n  },\r\n  watch: {\r\n    isTokValid(newValue) {\r\n      if (!newValue) {\r\n        this.$emit('token-invalid-or-expired');\r\n      }\r\n    },\r\n    async tok(newValue) {\r\n      if (newValue !== '') {\r\n        this.setTok(this.tok);\r\n        await this.setDefaultTranslations();\r\n      }\r\n    },\r\n    async initialPositions() {\r\n      if (this.context !== 'wizard') {\r\n        await this.initializeFromPdpContext();\r\n        this.positions = [...this.unavailablePrintPositions];\r\n      }\r\n    },\r\n  },\r\n  async mounted() {\r\n    this.setLanguageLocale(this.languageCode);\r\n    this.setSapCustomerId(this.sapCustomerId);\r\n    this.setTok(this.tok);\r\n    await this.setDefaultTranslations();\r\n\r\n    if (this.context !== 'wizard') {\r\n      /**\r\n       *  Used when this component is initialised on it's own\r\n       */\r\n      await this.initializeFromPdpContext();\r\n    } else {\r\n      /**\r\n       * Used when initialisation is done in a context of a wizard component\r\n       */\r\n      console.warn('$printPositions Injection(): ', this.$printPositions.value);\r\n\r\n      this.setUnavailablePrintPositions(this.unavailablePrintPositions);\r\n    }\r\n\r\n    // Pass the newly set unavailablePrintPositions to the positions array that will be passed to the child component\r\n    this.positions = [...this.unavailablePrintPositions];\r\n  },\r\n  methods: {\r\n    ...mapActions(useLangStore, [\r\n      'setLanguageLocale',\r\n      'setDefaultTranslations',\r\n    ]),\r\n    ...mapActions(useAuthStore, ['setSapCustomerId', 'setTok']),\r\n    ...mapActions(useProductStore, [\r\n      'getProduct',\r\n      'setUnavailablePrintPositions',\r\n      'setActivePrintPosition',\r\n      'setSelectedPrintPosition',\r\n    ]),\r\n    ...mapActions(useMirrorStore, ['addPositionMirrorSettings']),\r\n    ...mapActions(useHistoryStore, ['recordHistory']),\r\n    ...mapActions(useNotificationStore, ['runValidators']),\r\n\r\n    onCloseModal() {\r\n      this.$modal.hide('print-positions-modal');\r\n\r\n      this.$emit('print-position:cancel');\r\n    },\r\n    async initializeFromPdpContext() {\r\n      const pdpPositions = [] as ProductPrintPositionAddModel[];\r\n\r\n      if (this.productSku) {\r\n        await this.getProduct(this.productSku).then((result) => {\r\n          this.initialPositions.map((initPosition) => {\r\n            const printPosition = result?.productPrintPositions.find((p) => {\r\n              return p.name === initPosition.printPositionSAPCode;\r\n            });\r\n\r\n            if (printPosition) {\r\n              const printTechnique = printPosition.printTechniques.find((t) => {\r\n                return (\r\n                  t.printTechnique.code === initPosition.printTechniqueSAPCode\r\n                );\r\n              });\r\n\r\n              if (printTechnique) {\r\n                pdpPositions.push({\r\n                  positionId: printPosition.id,\r\n                  positionName: printPosition.name,\r\n                  printPositionSAPCode: printPosition.name,\r\n                  maxHeightMm: printPosition.maxHeightMm,\r\n                  maxWidthMm: printPosition.maxWidthMm,\r\n                  technique: {\r\n                    id: printTechnique.id,\r\n                    printTechniqueSAPCode: printTechnique.printTechnique.code,\r\n                    techniqueName: printTechnique.printTechnique.name,\r\n                    groupCode: printTechnique.printTechnique.group.code,\r\n                  },\r\n                });\r\n              }\r\n            }\r\n          });\r\n        });\r\n      }\r\n\r\n      // Reset the unavailablePrintPositions array depending on the users chosen print positions on the PDP page\r\n      this.setUnavailablePrintPositions(pdpPositions);\r\n    },\r\n\r\n    savePositions(\r\n      value: ProductPrintPositionAddModel[],\r\n      lastSwap: { from: string; to: string }\r\n    ) {\r\n      this.positions = value;\r\n      this.setUnavailablePrintPositions(value);\r\n      this.setActivePrintPosition(value[value.length - 1]);\r\n\r\n      if (lastSwap.to) {\r\n        this.setSelectedPrintPosition(lastSwap.to);\r\n      }\r\n\r\n      this.positions.forEach((p) => {\r\n        const idx = this.positionMirrorSettings.findIndex(\r\n          (x) => x.positionId === p.positionId\r\n        );\r\n        if (idx === -1) {\r\n          this.addPositionMirrorSettings(p.positionId, false, false);\r\n        }\r\n      });\r\n\r\n      if (this.editId !== '' && this.editId !== EMPTY_GUID) {\r\n        this.productStore.$patch((state) => {\r\n          const exists = state.editedPositions.some((id) => id === this.editId);\r\n          if (!exists) {\r\n            state.editedPositions.push(this.editId);\r\n          }\r\n        });\r\n\r\n        this.$emit(\r\n          'wizard:print-position-edit',\r\n          value,\r\n          lastSwap.to,\r\n          lastSwap.from\r\n        );\r\n\r\n        return;\r\n      }\r\n\r\n      this.runValidators();\r\n\r\n      const snapshot = createStateSnapshot();\r\n      this.recordHistory(snapshot);\r\n\r\n      const eventPayload = generateEventPayloadV2();\r\n      this.$emit('wizard:price-params-changed', {\r\n        productPrintPositions: eventPayload,\r\n      });\r\n\r\n      this.$emit('print-position:action', [...value]);\r\n    },\r\n  },\r\n  i18n,\r\n  pinia,\r\n});\r\n","import mod from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/ts-loader/index.js??ref--15-2!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./print-positions-manager-v2.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/ts-loader/index.js??ref--15-2!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./print-positions-manager-v2.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./print-positions-manager-v2.vue?vue&type=template&id=6a722400\"\nimport script from \"./print-positions-manager-v2.vue?vue&type=script&lang=ts\"\nexport * from \"./print-positions-manager-v2.vue?vue&type=script&lang=ts\"\n\n\n/* normalize component */\nimport normalizer from \"!../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  null,\n  null,\n  null\n  ,true\n)\n\nexport default component.exports","\r\nimport PrintPositionsManagerV2 from '../../../print-positions-manager-v2/print-positions-manager-v2.vue';\r\nimport { useStore as useProductStore } from '@/stores/v2/product';\r\nimport { useStore as useLangStore } from '@/stores/v2/lang';\r\nimport { useStore as useShapeStore } from '@/stores/v2/shape';\r\nimport { useStore as useHistoryStore } from '@/stores/v2/history';\r\nimport { useStore as useNotificationStore } from '@/stores/v2/notification';\r\nimport { useStore as useMirrorStore } from '@/stores/v2/mirror';\r\nimport { useStore as useColorsManagementStore } from '@/stores/v2/colorsManagement';\r\nimport Vue from 'vue';\r\nimport { mapActions, mapState } from 'pinia';\r\nimport { UnavailableProductPrintPosition } from '../../typings/product';\r\nimport { createStateSnapshot } from '@/utils/historyHelperV2';\r\nimport { generateEventPayloadV2 } from '@/utils/generatePriceParamsEventPayload';\r\n\r\nexport default Vue.extend({\r\n  name: 'PrintPositionsModal',\r\n  components: {\r\n    PrintPositionsManagerV2,\r\n  },\r\n  props: {\r\n    sapCustomerId: {\r\n      type: String,\r\n      required: true,\r\n    },\r\n    editId: {\r\n      type: String,\r\n      required: false,\r\n      default: '',\r\n    },\r\n    tok: {\r\n      type: String,\r\n      required: true,\r\n    },\r\n  },\r\n  computed: {\r\n    ...mapState(useProductStore, [\r\n      'selectedVariant',\r\n      'unavailablePrintPositions',\r\n      'isSmallDetailsTechnique',\r\n      'isLaserConverter',\r\n      'isDebossingTechnique',\r\n      'isSublimationTechnique',\r\n      'getProductPrintPosition',\r\n    ]),\r\n    ...mapState(useLangStore, ['languageInUse']),\r\n    ...mapState(useShapeStore, ['shapes', 'positionShapes']),\r\n  },\r\n  methods: {\r\n    ...mapActions(useHistoryStore, ['recordHistory']),\r\n    ...mapActions(useNotificationStore, ['runValidators']),\r\n    ...mapActions(useShapeStore, [\r\n      'applyEffectIfNeeded',\r\n      'revertAppliedEffect',\r\n      'updateShapePosition',\r\n      'resetSmallDetailsResult',\r\n    ]),\r\n    ...mapActions(useMirrorStore, ['updateMirrorShape']),\r\n    ...mapActions(useColorsManagementStore, ['getAvailablePmsColors']),\r\n    ...mapActions(useProductStore, ['printPositionArea']),\r\n\r\n    async onEditPrintPosition(\r\n      positions: UnavailableProductPrintPosition[],\r\n      newPositionId: string,\r\n      oldPositionId: string\r\n    ) {\r\n      const isLaserChoosen = this.isLaserConverter(newPositionId);\r\n      const isDebossingChoosen = this.isDebossingTechnique(newPositionId);\r\n      const technique = this.unavailablePrintPositions.find(\r\n        (pp) => pp.positionId === newPositionId\r\n      )?.technique;\r\n\r\n      if (technique) {\r\n        const isSmallDetailsTech = this.isSmallDetailsTechnique(\r\n          newPositionId,\r\n          technique.printTechniqueSAPCode\r\n        );\r\n\r\n        await this.getAvailablePmsColors();\r\n\r\n        if (newPositionId) {\r\n          const positionShapes = this.positionShapes(newPositionId);\r\n\r\n          for (const shape of positionShapes) {\r\n            this.resetSmallDetailsResult(shape.id, isSmallDetailsTech);\r\n\r\n            this.revertAppliedEffect(shape);\r\n\r\n            await this.applyEffectIfNeeded(newPositionId, technique.id, shape);\r\n\r\n            const scaledArea = this.printPositionArea(newPositionId, true);\r\n            const printPosition = this.getProductPrintPosition(newPositionId);\r\n\r\n            if (printPosition && scaledArea) {\r\n              this.updateShapePosition(\r\n                shape,\r\n                scaledArea,\r\n                printPosition.printArea,\r\n                newPositionId != oldPositionId\r\n              );\r\n            }\r\n\r\n            this.updateMirrorShape(shape);\r\n          }\r\n        }\r\n\r\n        this.runValidators();\r\n\r\n        const eventPayload = generateEventPayloadV2();\r\n\r\n        this.$emit('wizard:price-params-changed', {\r\n          productPrintPositions: eventPayload,\r\n        });\r\n\r\n        const snapshot = createStateSnapshot();\r\n        this.recordHistory(snapshot);\r\n      }\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PrintPositionsModal.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PrintPositionsModal.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./PrintPositionsModal.vue?vue&type=template&id=4152cdca\"\nimport script from \"./PrintPositionsModal.vue?vue&type=script&lang=ts\"\nexport * from \"./PrintPositionsModal.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  \n}\n\n/* normalize component */\nimport normalizer from \"!../../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  null,\n  null\n  ,true\n)\n\nexport default component.exports","\r\nimport Vue from 'vue';\r\nimport { useStore as useProductStore } from '@/stores/v2/product';\r\nimport { useStore as useColorsManagementStore } from '@/stores/v2/colorsManagement';\r\nimport { useStore as useMirrorStore } from '@/stores/v2/mirror';\r\nimport { useStore as useHistoryStore } from '@/stores/v2/history';\r\nimport { useStore as useLangStore } from '@/stores/v2/lang';\r\nimport { useStore as useNotificationStore } from '@/stores/v2/notification';\r\nimport { useStore as useShapeStore } from '@/stores/v2/shape';\r\nimport { mapState, mapActions } from 'pinia';\r\nimport PrintPositionBox from '../PositionsManagement/PrintPositionBox.vue';\r\nimport Add32 from '@carbon/icons-vue/es/add/32';\r\nimport PrintPositionsModal from './PrintPositionsModal.vue';\r\nimport { generateEventPayloadV2 } from '@/utils/generatePriceParamsEventPayload';\r\nimport { createStateSnapshot } from '@/utils/historyHelperV2';\r\nimport { ProductPrintPositionAddModel } from '@/typings';\r\nimport { CvModal } from '@carbon/vue';\r\n\r\nexport default Vue.extend({\r\n  name: 'PrintPositions',\r\n  components: {\r\n    PrintPositionsModal,\r\n    PrintPositionBox,\r\n    Add32,\r\n    CvModal,\r\n  },\r\n\r\n  props: {\r\n    sapCustomerId: {\r\n      type: String,\r\n      required: true,\r\n    },\r\n    tok: {\r\n      type: String,\r\n      required: true,\r\n    },\r\n  },\r\n\r\n  data() {\r\n    return {\r\n      editId: '',\r\n      yesNoDialog: false,\r\n      positionToDelete: {} as ProductPrintPositionAddModel,\r\n    };\r\n  },\r\n\r\n  computed: {\r\n    ...mapState(useProductStore, [\r\n      'data',\r\n      'activePosition',\r\n      'printPositions',\r\n      'selectedPrintPosition',\r\n      'unavailablePrintPositions',\r\n    ]),\r\n    ...mapState(useLangStore, ['languageInUse']),\r\n\r\n    isAddEnabled(): boolean {\r\n      if (this.unavailablePrintPositions && this.data.productPrintPositions) {\r\n        return (\r\n          this.unavailablePrintPositions.length <\r\n          this.data.productPrintPositions.length\r\n        );\r\n      }\r\n      return true;\r\n    },\r\n\r\n    techniqueNameTranslated(): string {\r\n      const position = this.printPositions?.find(\r\n        (p) => p.id === this.positionToDelete.positionId\r\n      );\r\n      const technique = position?.printTechniques.find((technique) => {\r\n        return technique.id === this.positionToDelete.technique.id;\r\n      });\r\n      const techniqueName = technique?.printTechnique.nameTranslations.find(\r\n        ({ language }) => language.code === this.languageInUse\r\n      )?.text;\r\n      return techniqueName || this.selectedPrintPosition.techniqueName || '';\r\n    },\r\n\r\n    isDeleteDisabled(): boolean {\r\n      return this.printPositions.length == 1;\r\n    },\r\n  },\r\n\r\n  methods: {\r\n    ...mapActions(useProductStore, [\r\n      'deletePrintPosition',\r\n      'setPreviousManagedPrintPositionId',\r\n    ]),\r\n    ...mapActions(useMirrorStore, [\r\n      'removePositionMirrorSettings',\r\n      'removeMirrorShapes',\r\n    ]),\r\n    ...mapActions(useColorsManagementStore, ['getAvailablePmsColors']),\r\n    ...mapActions(useHistoryStore, ['recordHistory']),\r\n    ...mapActions(useNotificationStore, ['runValidators']),\r\n    ...mapActions(useShapeStore, ['removeShapesForPosition']),\r\n\r\n    openModal(id: string) {\r\n      this.editId = id;\r\n      this.$modal.show('print-positions-modal');\r\n    },\r\n\r\n    actionDeletePrintPosition(position: ProductPrintPositionAddModel) {\r\n      this.positionToDelete = position;\r\n      this.yesNoDialog = true;\r\n    },\r\n\r\n    actionEditPrintPosition(id: string) {\r\n      this.setPreviousManagedPrintPositionId(id);\r\n      this.openModal(id);\r\n    },\r\n\r\n    async onDeletePrintPosition(deleteId: string) {\r\n      this.removeShapesForPosition(this.positionToDelete.positionId);\r\n\r\n      this.removeMirrorShapes(this.positionToDelete.positionId);\r\n\r\n      await this.deletePrintPosition(this.positionToDelete.positionId);\r\n\r\n      this.removePositionMirrorSettings(deleteId);\r\n\r\n      const eventPayload = generateEventPayloadV2();\r\n\r\n      this.$emit('wizard:price-params-changed', {\r\n        productPrintPositions: eventPayload,\r\n      });\r\n\r\n      await this.getAvailablePmsColors();\r\n\r\n      this.runValidators();\r\n\r\n      const snapshot = createStateSnapshot();\r\n      this.recordHistory(snapshot);\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PositionsManagement.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PositionsManagement.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./PositionsManagement.vue?vue&type=template&id=358eef66&scoped=true\"\nimport script from \"./PositionsManagement.vue?vue&type=script&lang=ts\"\nexport * from \"./PositionsManagement.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./PositionsManagement.vue?vue&type=style&index=0&id=358eef66&prod&lang=scss\")\nif (style0.__inject__) style0.__inject__(context)\nvar style1 = require(\"./PositionsManagement.vue?vue&type=style&index=1&id=358eef66&prod&lang=scss&scoped=true\")\nif (style1.__inject__) style1.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  \"358eef66\",\n  null\n  ,true\n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('div',{staticClass:\"preview-section\"},[_c('div',{staticClass:\"preview-section__title\"},[_vm._v(\" \"+_vm._s(_vm.$t('wizard-v2.common.preview'))+\" \")]),_c('div',{staticClass:\"preview-section__image d-flex-justify-center\",style:({ '--color': _vm.isPreviewHighlighted ? '#E0E0E0' : '#F4F4F4' }),on:{\"click\":function($event){_vm.isPreviewModalOpen = true},\"mouseover\":function($event){_vm.isPreviewHighlighted = true},\"mouseleave\":function($event){_vm.isPreviewHighlighted = false}}},[_c('div',{staticClass:\"preview-section__hover-helper\",style:({ '--width': _vm.isPreviewHighlighted ? '160px' : '40px' })},[(_vm.isPreviewHighlighted)?_c('span',{staticClass:\"preview-section__hover-text\"},[_vm._v(\" \"+_vm._s(_vm.$t('wizard-v2.preview.show-fullscreen')))]):_vm._e(),_c('maximize-16',{staticClass:\"preview-section__hover-icon\"})],1),_c('product-preview',{on:{\"open:product-preview\":function($event){_vm.isPreviewModalOpen = true}}})],1),_c('cv-button',{staticClass:\"tertiary-secondary mt-10 w-100 preview-section__save-concept-button\",attrs:{\"kind\":\"tertiary\",\"label\":_vm.$t('wizard-v2.preview.save-concept'),\"icon\":_vm.Save16,\"disabled\":_vm.isSaveActionDisabled || _vm.$isConceptDisabled},on:{\"click\":_vm.handleSaveConcept}},[_c('span',[_vm._v(_vm._s(_vm.$t('wizard-v2.preview.save-concept')))])]),_c('cv-button',{staticClass:\"preview-section__download-preview-button mt-10\",attrs:{\"id\":\"wizard-download-pdf-modal\",\"kind\":\"secondary\",\"size\":\"small\",\"disabled\":_vm.isSaveActionDisabled || _vm.$isOrderDisabled},on:{\"click\":() => _vm.$emit('preview:pdf')}},[_vm._v(\" \"+_vm._s(_vm.$t('section.actions.download-preview-pdf'))+\" \"),_c('generate-pdf-16',{staticClass:\"bx--btn__icon btn--size\"})],1),_c('switch-color',{attrs:{\"product-variants\":_vm.$isEditMode\n        ? _vm.$personalization.productVariants\n        : _vm.$pdpChoices.productVariants},on:{\"update:colors\":function($event){return _vm.$emit('update:colors')}}}),(_vm.isPreviewModalOpen && _vm.isAnyPositionAdded)?_c('div',[_c('product-preview-modal',{attrs:{\"is-open\":_vm.isPreviewModalOpen,\"pre-selected-position-id\":_vm.selectedPrintPosition.id},on:{\"close:preview-modal\":function($event){_vm.isPreviewModalOpen = false}}})],1):_vm._e()],1)\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return (_vm.selectedPrintPosition)?_c('div',{staticClass:\"product-preview\",style:({ '--value': `${_vm.PREVIEW_IMAGE_BOX}px` })},[_c('img',{staticClass:\"product-preview__img\",style:({ '--value': `${_vm.PREVIEW_IMAGE_BOX}px` }),attrs:{\"src\":_vm.selectedVariantImageUrl}}),_vm._l((_vm.activePositionShapes),function(shape){return _c('img',{key:shape.id,staticClass:\"product-preview__img-shape\",style:({\n      height: `${shape.height}px`,\n      width: `${shape.width}px`,\n      top: `${shape.y}px`,\n      left: `${shape.x}px`,\n      transform: `rotate(${shape.rotation}rad)`,\n    }),attrs:{\"src\":shape.pngFileUrl}})})],2):_vm._e()\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","\r\nimport Vue from 'vue';\r\nimport { useStore as useProductStore } from '@/stores/v2/product';\r\nimport { useStore as useShapeStore } from '@/stores/v2/shape';\r\nimport { useStore as useMirrorStore } from '@/stores/v2/mirror';\r\nimport { mapState, mapActions } from 'pinia';\r\nimport { mm2px } from '@/utils';\r\nimport { getScaledProductImageDPI } from '@/utils/areaHelper';\r\nimport { PREVIEW_IMAGE_BOX } from '@/web-components/import-wizard-v2/constants';\r\nimport { AnnotationShape } from '@/web-components/import-wizard-v2/typings/common';\r\n\r\nexport default Vue.extend({\r\n  name: 'ProductPreview',\r\n\r\n  data() {\r\n    return {\r\n      PREVIEW_IMAGE_BOX,\r\n    };\r\n  },\r\n\r\n  computed: {\r\n    ...mapState(useProductStore, [\r\n      'selectedPrintPosition',\r\n      'selectedVariant',\r\n      'activePosition',\r\n    ]),\r\n    ...mapState(useMirrorStore, ['currentMirrorSettings']),\r\n    ...mapState(useShapeStore, ['positionShapes']),\r\n\r\n    selectedVariantImageUrl(): string | undefined {\r\n      if (this.activePosition && this.selectedVariant) {\r\n        const variantImage = this.selectedVariant.images?.find(\r\n          (img) => img.printPositionID === this.activePosition.id\r\n        );\r\n        return variantImage ? variantImage.imageWebUrl : undefined;\r\n      }\r\n      return undefined;\r\n    },\r\n\r\n    activePositionShapes() {\r\n      if (this.selectedPrintPosition && this.selectedPrintPosition.id) {\r\n        const mirrorShapesFromPosition = this.getActiveMirrorShapes();\r\n        const mirrorShapesFromPositionInArea = [] as AnnotationShape[];\r\n\r\n        let selectedShapes = this.positionShapes(\r\n          this.selectedPrintPosition.id\r\n        ).filter((x) => x.isInArea) as AnnotationShape[];\r\n\r\n        mirrorShapesFromPosition.forEach((x) => {\r\n          if (\r\n            selectedShapes.findIndex((y) => y.id === x.originalShapeId) !== -1\r\n          ) {\r\n            mirrorShapesFromPositionInArea.push(x);\r\n          }\r\n        });\r\n\r\n        selectedShapes = [...selectedShapes, ...mirrorShapesFromPositionInArea];\r\n\r\n        const mappedPositions = selectedShapes.map((x) => {\r\n          if (this.activePosition.originalImageWidthPx) {\r\n            const scaledDPI = getScaledProductImageDPI(\r\n              this.activePosition.originalImageWidthPx,\r\n              this.activePosition.originalImageHeightPx,\r\n              this.activePosition.originalImageDpi,\r\n              PREVIEW_IMAGE_BOX\r\n            );\r\n\r\n            return {\r\n              id: x.id,\r\n              x: mm2px(x.xOnProductMM, scaledDPI),\r\n              y: mm2px(x.yOnProductMM, scaledDPI),\r\n              width: mm2px(x.widthOnProductMM, scaledDPI),\r\n              height: mm2px(x.heightOnProductMM, scaledDPI),\r\n              pngFileUrl: x.pngFile\r\n                ? URL.createObjectURL(x.pngFile as Blob)\r\n                : '',\r\n              rotation: x.rotation,\r\n            };\r\n          }\r\n        });\r\n\r\n        return mappedPositions;\r\n      }\r\n      return [];\r\n    },\r\n  },\r\n  methods: {\r\n    ...mapActions(useMirrorStore, ['getActiveMirrorShapes']),\r\n  },\r\n});\r\n","import mod from \"-!../../../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../../../node_modules/babel-loader/lib/index.js!../../../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./ProductPreview.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../../../node_modules/babel-loader/lib/index.js!../../../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./ProductPreview.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./ProductPreview.vue?vue&type=template&id=73f1befa&scoped=true\"\nimport script from \"./ProductPreview.vue?vue&type=script&lang=ts\"\nexport * from \"./ProductPreview.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./ProductPreview.vue?vue&type=style&index=0&id=73f1befa&prod&lang=scss&scoped=true\")\nif (style0.__inject__) style0.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  \"73f1befa\",\n  null\n  ,true\n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('modal',{attrs:{\"name\":\"product-preview-modal\",\"width\":\"100%\",\"height\":\"100%\",\"adaptive\":true,\"click-to-close\":false}},[_c('div',{staticClass:\"preview-modal\"},[_c('div',{staticClass:\"preview-modal__navigation\"},[_c('div',{staticClass:\"preview-modal__title\"},[_vm._v(\" \"+_vm._s(_vm.$t('sidebar.print-positions'))+\" \")]),(_vm.displayImgsFrom !== 0)?_c('div',{staticClass:\"preview-modal__arrow-navigation\",on:{\"click\":function($event){return _vm.scrollImageNavigation(0)}}},[_c('arrow-up-16',{staticClass:\"preview-modal__arrow-icon\"})],1):_vm._e(),_vm._l((_vm.selectedVariantPositions),function(position,index){return _c('div',{key:position.positionName,staticClass:\"preview-modal__positions-container\",class:{\n          'preview-modal__positions-container--selected':\n            _vm.positionId === position.id,\n          'preview-modal__hide-image': _vm.isImageHidden(index),\n        },on:{\"click\":() => (_vm.positionId = position.id)}},[_c('div',{staticClass:\"preview-modal__position-name\",class:{\n            'preview-modal__position-name--selected':\n              _vm.positionId === position.id,\n          }},[_vm._v(\" \"+_vm._s(position.positionName)+\" \")]),_c('img',{staticClass:\"preview-modal__position-img\",attrs:{\"src\":position.imageUrl}})])}),(_vm.selectedVariantPositions.length >= 5 && _vm.displayImgsFrom === 0)?_c('div',{staticClass:\"preview-modal__arrow-navigation\",on:{\"click\":function($event){return _vm.scrollImageNavigation(1)}}},[_c('arrow-down-16',{staticClass:\"preview-modal__arrow-icon\"})],1):_vm._e()],2),_c('div',{staticClass:\"preview-modal__preview-area\"},[_c('div',{staticClass:\"preview-modal__close\"},[_c('close-16',{staticClass:\"preview-modal__close-icon\",on:{\"click\":function($event){return _vm.$emit('close:preview-modal')}}})],1),(_vm.selectedPosition)?_c('div',{staticClass:\"preview-modal__image-container\",style:({ '--value': `${_vm.PREVIEW_PRODUCT_BOX}px` })},[_c('img',{staticClass:\"preview-modal__img\",style:({ '--value': `${_vm.PREVIEW_PRODUCT_BOX}px` }),attrs:{\"src\":_vm.selectedPosition.imageWebUrl}}),_vm._l((_vm.activePositionShapes),function(shape){return _c('img',{key:shape.id,staticClass:\"preview-modal__img-shape\",style:({\n            height: `${shape.height}px`,\n            width: `${shape.width}px`,\n            top: `${shape.y}px`,\n            left: `${shape.x}px`,\n            transform: `rotate(${shape.rotation}rad)`,\n          }),attrs:{\"src\":shape.pngFileUrl}})})],2):_vm._e()])])])\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","/**\n * Copyright IBM Corp. 2019, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nimport { c as createSVGComponent } from '../utils-9450cd75.js';\nimport '@carbon/icon-helpers';\nimport 'vue';\n\nconst ArrowDown16 = createSVGComponent('ArrowDown16', {\n  \"xmlns\": \"http://www.w3.org/2000/svg\",\n  \"viewBox\": \"0 0 16 16\",\n  \"fill\": \"currentColor\",\n  \"width\": 16,\n  \"height\": 16\n}, [{\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M12.3 9.3L8.5 13.1 8.5 1 7.5 1 7.5 13.1 3.7 9.3 3 10 8 15 13 10z\"\n  }\n}]);\n\nexport { ArrowDown16 as default };\n","/**\n * Copyright IBM Corp. 2019, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nimport { c as createSVGComponent } from '../utils-9450cd75.js';\nimport '@carbon/icon-helpers';\nimport 'vue';\n\nconst ArrowUp16 = createSVGComponent('ArrowUp16', {\n  \"xmlns\": \"http://www.w3.org/2000/svg\",\n  \"viewBox\": \"0 0 16 16\",\n  \"fill\": \"currentColor\",\n  \"width\": 16,\n  \"height\": 16\n}, [{\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M3.7 6.7L7.5 2.9 7.5 15 8.5 15 8.5 2.9 12.3 6.7 13 6 8 1 3 6z\"\n  }\n}]);\n\nexport { ArrowUp16 as default };\n","\r\nimport Vue from 'vue';\r\nimport Close16 from '@carbon/icons-vue/es/close/16';\r\nimport { PREVIEW_PRODUCT_BOX } from '../../../constants';\r\nimport { useStore as useProductStore } from '@/stores/v2/product';\r\nimport { useStore as useShapeStore } from '@/stores/v2/shape';\r\nimport { useStore as useMirrorStore } from '@/stores/v2/mirror';\r\nimport { mapState, mapActions } from 'pinia';\r\nimport { ProductVariantImage } from '@midocean/webapps-shared-domain';\r\nimport { getScaledProductImageDPI } from '@/utils/areaHelper';\r\nimport { mm2px } from '@/utils';\r\nimport ArrowDown16 from '@carbon/icons-vue/es/arrow--down/16';\r\nimport ArrowUp16 from '@carbon/icons-vue/es/arrow--up/16';\r\nimport { AnnotationShape } from '@/web-components/import-wizard-v2/typings/common';\r\n\r\nexport default Vue.extend({\r\n  name: 'ProductPreviewModal',\r\n\r\n  components: {\r\n    Close16,\r\n    ArrowDown16,\r\n    ArrowUp16,\r\n  },\r\n\r\n  props: {\r\n    isOpen: {\r\n      type: Boolean,\r\n      required: true,\r\n      default: false,\r\n    },\r\n    preSelectedPositionId: {\r\n      type: String,\r\n      required: true,\r\n    },\r\n  },\r\n\r\n  data() {\r\n    return {\r\n      PREVIEW_PRODUCT_BOX,\r\n      positionId: this.preSelectedPositionId,\r\n      displayImgsFrom: 0,\r\n    };\r\n  },\r\n\r\n  computed: {\r\n    ...mapState(useProductStore, [\r\n      'selectedVariant',\r\n      'unavailablePrintPositions',\r\n      'getProductPrintPosition',\r\n    ]),\r\n    ...mapState(useShapeStore, ['positionShapes']),\r\n\r\n    selectedPosition(): ProductVariantImage | undefined {\r\n      return this.selectedVariant.images.find(\r\n        (x) => x.printPositionID === this.positionId\r\n      );\r\n    },\r\n\r\n    selectedVariantPositions(): {\r\n      imageUrl: string;\r\n      positionName: string;\r\n      id: string;\r\n    }[] {\r\n      const productVariantImages = this.selectedVariant.images.filter((x) =>\r\n        this.unavailablePrintPositions.some(\r\n          (p) => p.positionId === x.printPositionID\r\n        )\r\n      );\r\n\r\n      return productVariantImages.map((x) => {\r\n        const position = this.unavailablePrintPositions.find(\r\n          (p) => p.positionId === x.printPositionID\r\n        );\r\n\r\n        return {\r\n          id: x.printPositionID,\r\n          imageUrl: x.imageThumbnailUrl,\r\n          positionName: position?.positionName || '',\r\n        };\r\n      });\r\n    },\r\n\r\n    activePositionShapes(): {\r\n      id: string;\r\n      x: number;\r\n      y: number;\r\n      width: number;\r\n      height: number;\r\n      pngFileUrl: string | null;\r\n      rotation: number;\r\n    }[] {\r\n      if (this.positionId) {\r\n        const printPosition = this.getProductPrintPosition(this.positionId);\r\n\r\n        if (printPosition) {\r\n          const mirrorShapesFromPosition = this.getActiveMirrorShapes();\r\n          const mirrorShapesFromPositionInArea = [] as AnnotationShape[];\r\n\r\n          let selectedShapes = this.positionShapes(this.positionId).filter(\r\n            (x) => x.isInArea\r\n          ) as AnnotationShape[];\r\n\r\n          mirrorShapesFromPosition.forEach((x) => {\r\n            if (\r\n              selectedShapes.findIndex((y) => y.id === x.originalShapeId) !== -1\r\n            ) {\r\n              mirrorShapesFromPositionInArea.push(x);\r\n            }\r\n          });\r\n\r\n          selectedShapes = [\r\n            ...selectedShapes,\r\n            ...mirrorShapesFromPositionInArea,\r\n          ];\r\n\r\n          const mappedPositions = selectedShapes.map((x) => {\r\n            const scaledDPI = getScaledProductImageDPI(\r\n              printPosition.originalImageWidthPx,\r\n              printPosition.originalImageHeightPx,\r\n              printPosition.originalImageDpi,\r\n              PREVIEW_PRODUCT_BOX\r\n            );\r\n\r\n            var variantImage = x.variantArtworkImages?.find(\r\n              (v) => v.variantColor === this.selectedVariant.colour\r\n            );\r\n            if (\r\n              variantImage &&\r\n              variantImage.widthPercentage > 0 &&\r\n              variantImage.heightPercentage > 0\r\n            ) {\r\n              let imageWidth = 0;\r\n              let imageHeight = 0;\r\n              if (\r\n                printPosition.originalImageWidthPx >\r\n                printPosition.originalImageHeightPx\r\n              ) {\r\n                imageWidth = PREVIEW_PRODUCT_BOX;\r\n                imageHeight =\r\n                  (imageWidth * printPosition.originalImageHeightPx) /\r\n                  printPosition.originalImageWidthPx;\r\n              } else {\r\n                imageHeight = PREVIEW_PRODUCT_BOX;\r\n                imageWidth =\r\n                  (imageHeight * printPosition.originalImageWidthPx) /\r\n                  printPosition.originalImageHeightPx;\r\n              }\r\n\r\n              return {\r\n                id: x.id,\r\n                x: variantImage.leftPercentage * imageWidth,\r\n                y: variantImage.topPercentage * imageHeight,\r\n                width: variantImage.widthPercentage * imageWidth,\r\n                height: variantImage.heightPercentage * imageHeight,\r\n                pngFileUrl: x.pngFile\r\n                  ? URL.createObjectURL(x.pngFile as Blob)\r\n                  : '',\r\n                rotation: x.rotation,\r\n              };\r\n            }\r\n\r\n            return {\r\n              id: x.id,\r\n              x: mm2px(x.xOnProductMM, scaledDPI),\r\n              y: mm2px(x.yOnProductMM, scaledDPI),\r\n              width: mm2px(x.widthOnProductMM, scaledDPI),\r\n              height: mm2px(x.heightOnProductMM, scaledDPI),\r\n              pngFileUrl: x.pngFile\r\n                ? URL.createObjectURL(x.pngFile as Blob)\r\n                : '',\r\n              rotation: x.rotation,\r\n            };\r\n          });\r\n\r\n          return mappedPositions;\r\n        }\r\n      }\r\n\r\n      return [];\r\n    },\r\n  },\r\n\r\n  watch: {\r\n    isOpen(newValue) {\r\n      if (newValue) {\r\n        this.$modal.show('product-preview-modal');\r\n      } else {\r\n        this.$modal.hide('product-preview-modal');\r\n      }\r\n    },\r\n  },\r\n\r\n  mounted() {\r\n    if (this.isOpen) {\r\n      this.$modal.show('product-preview-modal');\r\n    }\r\n  },\r\n  methods: {\r\n    ...mapActions(useMirrorStore, ['getActiveMirrorShapes']),\r\n    scrollImageNavigation(start: number) {\r\n      this.displayImgsFrom = start;\r\n    },\r\n    isImageHidden(index: number) {\r\n      let start = this.displayImgsFrom;\r\n      let end = this.displayImgsFrom + 3;\r\n      let imagesToDisplay = Array.from(\r\n        { length: end - start + 1 },\r\n        (_, i) => start + i\r\n      );\r\n\r\n      return !imagesToDisplay.includes(index);\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../../../node_modules/babel-loader/lib/index.js!../../../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./ProductPreviewModal.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../../../node_modules/babel-loader/lib/index.js!../../../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./ProductPreviewModal.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./ProductPreviewModal.vue?vue&type=template&id=139a660a&scoped=true\"\nimport script from \"./ProductPreviewModal.vue?vue&type=script&lang=ts\"\nexport * from \"./ProductPreviewModal.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./ProductPreviewModal.vue?vue&type=style&index=0&id=139a660a&prod&lang=scss&scoped=true\")\nif (style0.__inject__) style0.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  \"139a660a\",\n  null\n  ,true\n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('div',{staticClass:\"switch-color-component mt-10\"},[_c('cv-accordion',{attrs:{\"align\":'end'},on:{\"change\":function($event){return _vm.$emit('update:colors')}}},[_c('cv-accordion-item',{scopedSlots:_vm._u([{key:\"title\",fn:function(){return [_vm._v(_vm._s(_vm.$t('wizard-v2.preview.selected-colors')))]},proxy:true},{key:\"content\",fn:function(){return [_c('div',{staticClass:\"switch-color-component__colors\"},_vm._l((_vm.productVariants),function(variant){return _c('div',{key:variant.productName},[(_vm.productName === variant.productName)?_c('div',{staticClass:\"oval-checkmark style-oval-checkbox\",style:({\n                '--background-color': variant.colorHex,\n              }),attrs:{\"id\":`${variant.productName}-checkmark`},on:{\"click\":function($event){return _vm.changeProductVariantImg(variant)}}},[_c('checkmark',{staticClass:\"checkmark\"})],1):_c('div',{staticClass:\"oval-checkmark style-oval\",style:({\n                '--background-color': variant.colorHex,\n              }),attrs:{\"id\":`${variant.productName}-no-checkmark`},on:{\"click\":function($event){return _vm.changeProductVariantImg(variant)}}})])}),0)]},proxy:true}])})],1)],1)\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","\r\nimport Vue, { PropType } from 'vue';\r\nimport { mapActions, mapState } from 'pinia';\r\nimport { useStore as useProductStore } from '@/stores/v2/product';\r\nimport { useStore as useShapeStore } from '@/stores/v2/shape';\r\nimport VModal from 'vue-js-modal';\r\nimport Checkmark from '@carbon/icons-vue/es/checkmark/16';\r\nimport { ProductColorSetterType } from '@/setters/typings/common/ProductColorsSetterType';\r\nimport { ProductPrintVariant } from '@midocean/webapps-shared-domain';\r\nimport { CvAccordion, CvAccordionItem } from '@carbon/vue';\r\n\r\nVue.use(VModal, {\r\n  dynamic: true,\r\n  injectModalsContainer: true,\r\n});\r\n\r\nexport default Vue.extend({\r\n  name: 'SwitchColor',\r\n  components: {\r\n    Checkmark,\r\n    CvAccordion,\r\n    CvAccordionItem,\r\n  },\r\n\r\n  props: {\r\n    productVariants: {\r\n      type: [] as PropType<ProductColorSetterType[]>,\r\n      required: true,\r\n    },\r\n  },\r\n\r\n  computed: {\r\n    ...mapState(useProductStore, [\r\n      'data',\r\n      'isLaserConverter',\r\n      'isDebossingTechnique',\r\n      'isSublimationTechnique',\r\n      'getDebossingColor',\r\n      'selectedVariant',\r\n    ]),\r\n\r\n    productName(): string {\r\n      if (this.selectedVariant) {\r\n        return this.selectedVariant.name;\r\n      } else {\r\n        return '';\r\n      }\r\n    },\r\n  },\r\n\r\n  methods: {\r\n    ...mapActions(useProductStore, ['setSelectedVariant']),\r\n    ...mapActions(useShapeStore, ['reinitializeShapeVariantImage']),\r\n\r\n    changeProductVariantImg(variant: ProductColorSetterType) {\r\n      let selectedVariantFound = this.data.variants.find(\r\n        (varImg) => varImg.colour == variant.variantColor\r\n      ) as ProductPrintVariant;\r\n\r\n      this.setSelectedVariant(selectedVariantFound);\r\n\r\n      if (\r\n        this.isLaserConverter() ||\r\n        this.isDebossingTechnique() ||\r\n        this.isSublimationTechnique\r\n      ) {\r\n        let textColor = [255, 255, 255];\r\n        if (this.isDebossingTechnique()) {\r\n          textColor = this.getDebossingColor;\r\n        }\r\n        this.reinitializeShapeVariantImage(selectedVariantFound, textColor);\r\n      }\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./SwitchColor.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./SwitchColor.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./SwitchColor.vue?vue&type=template&id=1abaeb15\"\nimport script from \"./SwitchColor.vue?vue&type=script&lang=ts\"\nexport * from \"./SwitchColor.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./SwitchColor.vue?vue&type=style&index=0&id=1abaeb15&prod&lang=scss\")\nif (style0.__inject__) style0.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  null,\n  null\n  ,true\n)\n\nexport default component.exports","/**\n * Copyright IBM Corp. 2019, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nimport { c as createSVGComponent } from '../utils-9450cd75.js';\nimport '@carbon/icon-helpers';\nimport 'vue';\n\nconst Maximize16 = createSVGComponent('Maximize16', {\n  \"xmlns\": \"http://www.w3.org/2000/svg\",\n  \"viewBox\": \"0 0 16 16\",\n  \"fill\": \"currentColor\",\n  \"width\": 16,\n  \"height\": 16\n}, [{\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M6 15L6 14 2.7 14 7 9.7 6.3 9 2 13.3 2 10 1 10 1 15zM10 1L10 2 13.3 2 9 6.3 9.7 7 14 2.7 14 6 15 6 15 1z\"\n  }\n}]);\n\nexport { Maximize16 as default };\n","\r\nimport Vue, { PropType } from 'vue';\r\nimport ProductPreview from './components/ProductPreview.vue';\r\nimport ProductPreviewModal from './components/ProductPreviewModal.vue';\r\nimport { mapState, mapActions } from 'pinia';\r\nimport { useStore as useProductStore } from '@/stores/v2/product';\r\nimport { useStore as useGlobalStore } from '@/stores/v2/global';\r\nimport { useStore as useLangStore } from '@/stores/v2/lang';\r\nimport { useStore as useNotificationStore } from '@/stores/v2/notification';\r\nimport { useStore as useShapeStore } from '@/stores/v2/shape';\r\nimport { CvButton } from '@carbon/vue';\r\nimport Save16 from '@carbon/icons-vue/es/save/16';\r\nimport { PdpChoicesSetterType } from '@/setters/typings';\r\nimport { Personalization } from '@midocean/webapps-shared-domain';\r\nimport {\r\n  trySavePersonalization,\r\n  triggerSmallDetailsCheck,\r\n} from '@/utils/personalizationHelperV2';\r\nimport { DoSmallDetailsPart } from '@/constants/imageProcessingEngine';\r\nimport { SwitchColor } from '../SwitchColor';\r\nimport GeneratePdf16 from '@carbon/icons-vue/es/generate-pdf/16';\r\nimport Maximize16 from '@carbon/icons-vue/es/maximize/16';\r\n\r\ndeclare module 'vue/types/vue' {\r\n  interface Vue {\r\n    $pdpChoices: PdpChoicesSetterType;\r\n    $sapCustomerId: string;\r\n    $isEditMode: boolean;\r\n    $personalization: Personalization;\r\n    $isDirectApproval: boolean;\r\n    $isConceptDisabled: boolean;\r\n    $isOrderDisabled: boolean;\r\n    $customerCompanyLogoUrl: string;\r\n  }\r\n}\r\n\r\nexport default Vue.extend({\r\n  name: 'ProductManagement',\r\n\r\n  inject: [\r\n    '$pdpChoices',\r\n    '$sapCustomerId',\r\n    '$isEditMode',\r\n    '$personalization',\r\n    '$isDirectApproval',\r\n    '$isConceptDisabled',\r\n    '$isOrderDisabled',\r\n    '$customerCompanyLogoUrl',\r\n  ],\r\n\r\n  components: {\r\n    ProductPreview,\r\n    ProductPreviewModal,\r\n    SwitchColor,\r\n    CvButton,\r\n    GeneratePdf16,\r\n    Maximize16,\r\n  },\r\n\r\n  data() {\r\n    return {\r\n      isPreviewModalOpen: false,\r\n      isPreviewHighlighted: false,\r\n      Save16,\r\n    };\r\n  },\r\n\r\n  computed: {\r\n    ...mapState(useProductStore, [\r\n      'selectedPrintPosition',\r\n      'isAnyPositionAdded',\r\n    ]),\r\n    ...mapState(useNotificationStore, [\r\n      'redAndOrangeNotifications',\r\n      'hasRedNotifications',\r\n    ]),\r\n    ...mapState(useShapeStore, ['shapes']),\r\n    ...mapState(useGlobalStore, ['isProcessingOrder', 'isLoaderActive']),\r\n    ...mapState(useLangStore, ['languageInUse']),\r\n\r\n    isSaveActionDisabled(): boolean {\r\n      return (\r\n        this.shapes.length === 0 ||\r\n        this.isProcessingOrder ||\r\n        this.hasErrorsBesideSmallDetails ||\r\n        this.hasEmptyTexts ||\r\n        !this.isAnyPositionAdded\r\n      );\r\n    },\r\n    hasEmptyTexts(): boolean {\r\n      return this.shapes.some(\r\n        (shape) => shape.kind === 'Text' && shape.w2pText.text === ''\r\n      );\r\n    },\r\n    hasErrorsBesideSmallDetails(): boolean {\r\n      return (\r\n        this.hasRedNotifications &&\r\n        this.redAndOrangeNotifications.some(\r\n          (error) =>\r\n            error.validatorName !== 'smallDetails' &&\r\n            error.validatorColor === 'Red'\r\n        )\r\n      );\r\n    },\r\n  },\r\n\r\n  methods: {\r\n    ...mapActions(useGlobalStore, [\r\n      'setIsProcessingOrder',\r\n      'setIsLoaderActive',\r\n    ]),\r\n    async handleSaveConcept() {\r\n      if (DoSmallDetailsPart && triggerSmallDetailsCheck()) {\r\n        this.$emit('action:trigger-small-details');\r\n      } else {\r\n        this.setIsProcessingOrder(true);\r\n        this.setIsLoaderActive(true);\r\n        try {\r\n          const personalizationId = await trySavePersonalization(\r\n            this.$isEditMode,\r\n            this.$pdpChoices.productVariants,\r\n            this.$sapCustomerId,\r\n            true,\r\n            this.$isDirectApproval,\r\n            this.$customerCompanyLogoUrl,\r\n            this.languageInUse\r\n          );\r\n\r\n          this.$emit('wizard:saved-as-concept', { personalizationId });\r\n          this.$emit('action:disable-pintura');\r\n        } catch (e: unknown) {\r\n          console.log((e as Error).message);\r\n        } finally {\r\n          this.setIsProcessingOrder(false);\r\n          this.setIsLoaderActive(false);\r\n        }\r\n      }\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PreviewSection.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PreviewSection.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./PreviewSection.vue?vue&type=template&id=5ac16ed0\"\nimport script from \"./PreviewSection.vue?vue&type=script&lang=ts\"\nexport * from \"./PreviewSection.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./PreviewSection.vue?vue&type=style&index=0&id=5ac16ed0&prod&lang=scss\")\nif (style0.__inject__) style0.__inject__(context)\nvar style1 = require(\"./PreviewSection.vue?vue&type=style&index=1&id=5ac16ed0&prod&lang=scss\")\nif (style1.__inject__) style1.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  null,\n  null\n  ,true\n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('div',[_c('modal',{attrs:{\"name\":\"pdf-preview-modal\",\"height\":\"auto\",\"adaptive\":true,\"click-to-close\":true},on:{\"before-close\":_vm.onCloseModal}},[_c('cv-grid',{staticClass:\"pdf-preview-grid\",attrs:{\"full-width\":\"\"}},[_c('cv-row',{staticClass:\"pdf-preview-grid__pdf-preview\"},[_c('cv-column',[_c('div',{staticClass:\"cv-grid-story__preview-col\"},[_c('cv-row',{staticClass:\"pdf-preview-grid__pdf-preview--modal-heading\"},[_c('cv-column',{staticClass:\"modal-heading-title\"},[_c('h4',{staticClass:\"modal-heading-title\"},[_vm._v(\" \"+_vm._s(_vm.$t('header.your-design-has-been-created'))+\" \")])]),_c('close-32',{staticClass:\"close-button\",on:{\"click\":() => _vm.$modal.hide('pdf-preview-modal')}})],1),_c('cv-row',[_c('p',{staticClass:\"title\"},[_vm._v(_vm._s(_vm.$t('header.preview-of-your-design')))])]),_c('cv-row',{staticClass:\"pdf-preview-grid__pdf-preview--main-content\"},[_c('cv-column',[_c('div',{staticClass:\"cv-grid-story__preview-col\"},[_c('div',{staticClass:\"cv-grid-story__preview-col proof-card\"},[_c('cv-row',[_c('div',{staticClass:\"proof-card--header\"},[_c('cv-column',[_c('div',{staticClass:\"cv-grid-story__preview-col proof-card--header__pdf-logo-img\"},[_c('img',{staticClass:\"pdf-logo\",attrs:{\"src\":_vm.logoImgSrc,\"height\":\"40px\",\"width\":\"40px\"}}),_c('h6',{staticClass:\"modal-button\"},[_vm._v(\" \"+_vm._s(_vm.$t('section.actions.design-preview-pdf'))+\" \")])])]),_c('cv-column',[_c('div',{staticClass:\"cv-grid-story__preview-col cv-grid-story--flex-end\"},[_c('cv-button',{staticClass:\"modal-button\",attrs:{\"id\":\"wizard-download-pdf\",\"size\":\"small\",\"kind\":\"tertiary\"},on:{\"click\":function($event){return _vm.onPreviewPdf(_vm.pdf)}}},[_c('span',[_vm._v(\" \"+_vm._s(_vm.$t('section.actions.download-preview-pdf'))+\" \")]),_c('generate-pdf-16',{staticClass:\"bx--btn__icon btn--size\"})],1)],1)])],1)]),(_vm.pdf !== undefined)?_c('cv-row',{staticClass:\"mt-10\",attrs:{\"kind\":\"condensed\"}},[_c('cv-column',[_c('div',{staticClass:\"cv-grid-story__preview-col\"},[_c('img',{staticClass:\"pdf-image\",attrs:{\"src\":_vm.pdfImg}})])])],1):_vm._e()],1)])])],1)],1)])],1),_c('cv-row',[_c('cv-column',{staticClass:\"pdf-preview-grid__pdf-preview--modal-buttons\"},[_c('div',{staticClass:\"cv-grid-story__preview-col modal-buttons\"},[_c('cv-button-set',[_c('cv-button',{staticClass:\"modal-button\",attrs:{\"kind\":\"secondary\",\"disabled\":_vm.isProcessingOrder},on:{\"click\":() => _vm.$modal.hide('pdf-preview-modal')}},[_vm._v(\" \"+_vm._s(_vm.$t('section.actions.back-to-editing')))]),_c('cv-button',{staticClass:\"modal-button\",attrs:{\"id\":\"”order-item-pdf-modal”\",\"kind\":\"primary\",\"disabled\":_vm.isProcessingOrder || _vm.isOrderDisabled},on:{\"click\":_vm.handleOnToShoppingCard}},[_vm._v(_vm._s(_vm.$t('section.actions.to-shopping-cart')))])],1)],1)])],1)],1)],1)],1)\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","\r\nimport Vue, { PropType } from 'vue';\r\nimport { CvGrid, CvButton, CvRow, CvColumn, CvButtonSet } from '@carbon/vue';\r\nimport GeneratePdf16 from '@carbon/icons-vue/es/generate-pdf/16';\r\nimport { mapActions, mapState } from 'pinia';\r\nimport { useStore as useProductStore } from '@/stores/v2/product';\r\nimport { useStore as useShapeStore } from '@/stores/v2/shape';\r\nimport { useStore as useNotificationStore } from '@/stores/v2/notification';\r\nimport { useStore as useLangStore } from '@/stores/v2/lang';\r\nimport { useStore as useGlobalStore } from '@/stores/v2/global';\r\nimport Close32 from '@carbon/icons-vue/es/close/16';\r\nimport { DoSmallDetailsPart } from '@/constants/imageProcessingEngine';\r\nimport {\r\n  trySavePersonalization,\r\n  generateProofPreview,\r\n  getSmallDetailsFiles,\r\n  triggerSmallDetailsCheck,\r\n  isRevalidationNeeded,\r\n} from '@/utils/personalizationHelperV2';\r\nimport { PdpChoicesSetterType } from '@/setters/typings';\r\nimport { revalidateSmallDetails } from '@/components/SmallDetails';\r\n\r\nexport default Vue.extend({\r\n  name: 'PreviewPdf',\r\n  components: {\r\n    CvButton,\r\n    CvRow,\r\n    CvColumn,\r\n    GeneratePdf16,\r\n    CvButtonSet,\r\n    CvGrid,\r\n    Close32,\r\n  },\r\n  props: {\r\n    pdpChoices: {\r\n      type: Object as PropType<PdpChoicesSetterType>,\r\n      required: false,\r\n      default: {} as PdpChoicesSetterType,\r\n    },\r\n    personalizationId: {\r\n      type: String,\r\n      required: false,\r\n      default() {\r\n        return '';\r\n      },\r\n    },\r\n    sapCustomerId: {\r\n      type: String,\r\n      required: true,\r\n    },\r\n    customerCompanyLogoUrl: {\r\n      type: String,\r\n      required: false,\r\n      default: '',\r\n    },\r\n    isDirectApproval: {\r\n      type: Boolean,\r\n      required: false,\r\n      default: false,\r\n    },\r\n    isOrderDisabled: {\r\n      type: Boolean,\r\n      required: false,\r\n      default: false,\r\n    },\r\n  },\r\n  data() {\r\n    return {\r\n      pdf: '',\r\n      logoImgSrc: require('../../../../../assets/pdfLogo.png'),\r\n      pdfImg: '',\r\n    };\r\n  },\r\n  computed: {\r\n    ...mapState(useShapeStore, ['shapes', 'personalization']),\r\n    ...mapState(useProductStore, ['data', 'unavailablePrintPositions']),\r\n    ...mapState(useLangStore, ['languageInUse']),\r\n    ...mapState(useGlobalStore, ['isLoaderActive', 'isProcessingOrder']),\r\n\r\n    isEditMode(): boolean {\r\n      return this.personalizationId !== '';\r\n    },\r\n  },\r\n  mounted() {\r\n    this.showModal();\r\n  },\r\n  methods: {\r\n    ...mapActions(useGlobalStore, [\r\n      'setIsProcessingOrder',\r\n      'setIsLoaderActive',\r\n    ]),\r\n    ...mapActions(useProductStore, ['setSelectedVariant']),\r\n    ...mapActions(useShapeStore, ['getPersonalization']),\r\n\r\n    ...mapActions(useNotificationStore, ['runValidators']),\r\n\r\n    async handleOnToShoppingCard() {\r\n      if (DoSmallDetailsPart && triggerSmallDetailsCheck()) {\r\n        this.$emit('action:trigger-small-details');\r\n      } else {\r\n        try {\r\n          this.setIsProcessingOrder(true);\r\n          this.setIsLoaderActive(true);\r\n          const personalizationId = await trySavePersonalization(\r\n            this.isEditMode,\r\n            this.pdpChoices.productVariants,\r\n            this.sapCustomerId,\r\n            false,\r\n            this.isDirectApproval,\r\n            this.customerCompanyLogoUrl,\r\n            this.languageInUse\r\n          );\r\n\r\n          this.$emit('wizard:ordered', { personalizationId });\r\n          this.$emit('action:disable-pintura');\r\n        } catch (e: unknown) {\r\n          console.log((e as Error).message);\r\n        } finally {\r\n          this.setIsProcessingOrder(false);\r\n          this.setIsLoaderActive(false);\r\n        }\r\n      }\r\n    },\r\n\r\n    async showModal() {\r\n      if (this.isEditMode) {\r\n        this.getPersonalization(this.personalizationId);\r\n      }\r\n      this.setIsLoaderActive(true);\r\n\r\n      if (DoSmallDetailsPart && isRevalidationNeeded()) {\r\n        await revalidateSmallDetails();\r\n\r\n        this.runValidators();\r\n      }\r\n\r\n      const smallDetailsFiles = DoSmallDetailsPart\r\n        ? getSmallDetailsFiles(this.shapes)\r\n        : [];\r\n\r\n      const proofPreview = await generateProofPreview(\r\n        smallDetailsFiles,\r\n        this.sapCustomerId,\r\n        this.customerCompanyLogoUrl,\r\n        this.languageInUse,\r\n        this.pdpChoices\r\n      );\r\n\r\n      this.pdf = proofPreview.pdfUrl;\r\n      this.pdfImg = proofPreview.pdfPreviewUrl;\r\n      this.setIsLoaderActive(false);\r\n      this.$modal.show('pdf-preview-modal');\r\n    },\r\n    onCloseModal() {\r\n      this.pdf = '';\r\n      this.pdfImg = '';\r\n      this.$emit('close:preview-pdf');\r\n    },\r\n    async onPreviewPdf(downloadPdfPreviewUrl: string) {\r\n      // in case of usage proof approval component from Backend portal do not use\r\n      // vue pdf app for pdf preview, open pdf in a new tab in browser pdf viewer\r\n\r\n      try {\r\n        window.open(downloadPdfPreviewUrl, '_blank');\r\n      } catch (e) {\r\n        console.log(e);\r\n      }\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../../../node_modules/babel-loader/lib/index.js!../../../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PreviewPdf.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../../../node_modules/babel-loader/lib/index.js!../../../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PreviewPdf.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./PreviewPdf.vue?vue&type=template&id=645d9dc8&scoped=true\"\nimport script from \"./PreviewPdf.vue?vue&type=script&lang=ts\"\nexport * from \"./PreviewPdf.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./PreviewPdf.vue?vue&type=style&index=0&id=645d9dc8&prod&scoped=true&lang=scss\")\nif (style0.__inject__) style0.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  \"645d9dc8\",\n  null\n  ,true\n)\n\nexport default component.exports","import { useStore as useShapeStore } from '@/stores/v2/shape';\r\nimport { useStore as useProductStore } from '@/stores/v2/product';\r\nimport { ProductPrintPositionAddModel } from '@/typings';\r\nimport { ProductPrintVariant } from '@midocean/webapps-shared-domain';\r\nimport { PdpChoicesSetterType } from '@/setters/typings';\r\n\r\nexport function mapProductPrintPositions(): ProductPrintPositionAddModel[] {\r\n  const shapeStore = useShapeStore();\r\n  const productStore = useProductStore();\r\n\r\n  const printPositionsData =\r\n    shapeStore.personalization.proofs[0].productPrintPositions;\r\n\r\n  return printPositionsData.map((pos) => {\r\n    const position = productStore.data.productPrintPositions.find(\r\n      (p) => p.name === pos.sapCode\r\n    );\r\n    const techniqueId = position?.printTechniques.find(\r\n      (t) => t.printTechnique.code === pos.productPrintTechnique.sapCode\r\n    )?.id;\r\n    const technique = position?.printTechniques.find(\r\n      (t) => t.printTechnique.code === pos.productPrintTechnique.sapCode\r\n    );\r\n    return {\r\n      maxHeightMm: position?.maxHeightMm,\r\n      maxWidthMm: position?.maxWidthMm,\r\n      positionId: position?.id,\r\n      positionName: pos.name,\r\n      printPositionSAPCode: position?.name,\r\n      technique: {\r\n        id: techniqueId,\r\n        printTechniqueSAPCode: pos.productPrintTechnique.sapCode,\r\n        techniqueName: pos.productPrintTechnique.name,\r\n        groupCode: technique?.printTechnique?.group?.code,\r\n      },\r\n    } as ProductPrintPositionAddModel;\r\n  });\r\n}\r\n\r\nexport function mapSelectedVariant(\r\n  selectedVariantColor: string\r\n): ProductPrintVariant | undefined {\r\n  const productStore = useProductStore();\r\n\r\n  if (productStore.data.variants) {\r\n    const variant = productStore.data.variants.find(\r\n      (varImg) => varImg.colour == selectedVariantColor\r\n    );\r\n\r\n    return variant || undefined;\r\n  }\r\n}\r\n\r\nexport function mapPositionsFromPdp(\r\n  pdpChoices: PdpChoicesSetterType\r\n): ProductPrintPositionAddModel[] {\r\n  const productStore = useProductStore();\r\n\r\n  const printPositionsFromPdp = [] as ProductPrintPositionAddModel[];\r\n\r\n  if (\r\n    pdpChoices.productPrintPositions &&\r\n    pdpChoices.productPrintPositions.length > 0\r\n  )\r\n    pdpChoices.productPrintPositions.map((position) => {\r\n      const positionToAdd = {} as ProductPrintPositionAddModel;\r\n\r\n      if (productStore.data.productPrintPositions) {\r\n        const filteredPosition = productStore.data.productPrintPositions.find(\r\n          (pos) => {\r\n            return position.printPositionSAPCode === pos.name;\r\n          }\r\n        );\r\n\r\n        if (filteredPosition) {\r\n          const filteredTechnique = filteredPosition.printTechniques.find(\r\n            (tech) => {\r\n              return (\r\n                tech.printTechnique.code === position.printTechniqueSAPCode\r\n              );\r\n            }\r\n          );\r\n\r\n          positionToAdd.positionId = filteredPosition.id;\r\n          positionToAdd.positionName = filteredPosition.name;\r\n          positionToAdd.printPositionSAPCode = filteredPosition.name;\r\n          positionToAdd.maxHeightMm = filteredPosition.maxHeightMm;\r\n          positionToAdd.maxWidthMm = filteredPosition.maxWidthMm;\r\n          if (filteredTechnique) {\r\n            positionToAdd.technique = {\r\n              id: filteredTechnique.id,\r\n              printTechniqueSAPCode: filteredTechnique.printTechnique.code,\r\n              techniqueName: filteredTechnique.printTechnique.name,\r\n              groupCode: filteredTechnique.printTechnique.group.code,\r\n            };\r\n          }\r\n        }\r\n\r\n        printPositionsFromPdp.push(positionToAdd);\r\n      }\r\n    });\r\n\r\n  return printPositionsFromPdp;\r\n}\r\n","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('div')\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","<template>\r\n  <div></div>\r\n</template>\r\n\r\n<script>\r\nimport Vue from 'vue';\r\nimport { mapState, mapActions, mapStores } from 'pinia';\r\nimport { useStore as useShapeStore } from '@/stores/v2/shape';\r\nimport { useStore as useActionStore } from '@/stores/v2/action';\r\nimport { useStore as useProductStore } from '@/stores/v2/product';\r\nimport { useStore as useHistoryStore } from '@/stores/v2/history';\r\nimport { useStore as useMirrorStore } from '@/stores/v2/mirror';\r\nimport { useStore as useNotificationStore } from '@/stores/v2/notification';\r\nimport { openDefaultEditor } from 'pintura';\r\nimport { createStateSnapshot } from '@/utils/historyHelper';\r\nimport { generateEventPayloadV2 } from '@/utils/generatePriceParamsEventPayload';\r\n\r\nexport default Vue.extend({\r\n  computed: {\r\n    ...mapStores(useShapeStore),\r\n    ...mapState(useShapeStore, [\r\n      'shapes',\r\n      'activeShapeId',\r\n      'updateShapePosition',\r\n    ]),\r\n    ...mapState(useActionStore, ['actions']),\r\n    ...mapState(useProductStore, ['activePosition', 'printPositionArea']),\r\n  },\r\n  mounted() {\r\n    const subtarget = document.querySelector('w2p-import-wizard-wrapper');\r\n    const element =\r\n      subtarget && subtarget.shadowRoot\r\n        ? subtarget.shadowRoot.querySelector('.import-wizard-v2')\r\n        : document.body;\r\n\r\n    const activeShape = this.shapes.find(\r\n      (shape) => shape.id === this.activeShapeId\r\n    );\r\n    const productStore = useProductStore();\r\n    const isLaser = productStore.isLaserConverter();\r\n    const isDebossing = productStore.isDebossingTechnique();\r\n    const isSublimation = productStore.isSublimationTechnique;\r\n\r\n    const stickerEditor = openDefaultEditor(\r\n      {\r\n        class: 'pintura-sticker-editor',\r\n        src:\r\n          isLaser || isDebossing || isSublimation\r\n            ? activeShape.pngFileWithoutConverters\r\n            : activeShape.pngFile,\r\n        enableButtonRevert: false,\r\n        enableNavigateHistory: false,\r\n        enableZoomControls: false,\r\n        cropEnableButtonRotateLeft: false,\r\n        cropEnableButtonFlipHorizontal: false,\r\n        cropImageSelectionCornerStyle: 'hook',\r\n        cropEnableCenterImageSelection: false,\r\n        cropActiveTransformTool: 'zoom',\r\n        cropEnableRotationInput: false,\r\n        utils: ['crop'],\r\n        cropInteractionFocus: 'selection',\r\n        locale: { labelButtonExport: this.$t('tools.custom.done') },\r\n        cropEnableInfoIndicator: true,\r\n        cropEnableZoom: false,\r\n      },\r\n      element\r\n    );\r\n\r\n    // Update the shape when the sticker is edited\r\n    stickerEditor.on('process', async (res) => {\r\n      // Update the backgroundImage of the active shape\r\n      const actionStore = useActionStore();\r\n      const idx = this.shapeStore.shapes.findIndex(\r\n        (p) => p.id === activeShape?.id\r\n      );\r\n\r\n      const shape = this.shapeStore.shapes[idx];\r\n      const widthScaleFactor = shape.pngWidthPixels / res.imageState.crop.width;\r\n      const heightScaleFactor =\r\n        shape.pngHeightPixels / res.imageState.crop.height;\r\n      const width = shape.width / widthScaleFactor;\r\n      const height = shape.height / heightScaleFactor;\r\n\r\n      const smallDetailsResult = shape.smallDetailsResult\r\n        ? { ...shape.smallDetailsResult, isCheckValid: false }\r\n        : undefined;\r\n\r\n      const leftCroppedValue = this.getCroppedValueFromLeftSide(\r\n        shape.pngWidthPixels,\r\n        res.imageState.crop.x\r\n      );\r\n\r\n      const rightCroppedValue = this.getCroppedValueFromRightSide(\r\n        shape.pngWidthPixels,\r\n        res.imageState.crop.x + res.imageState.crop.width\r\n      );\r\n\r\n      const topCroppedValue = this.getCroppedValueFromTop(\r\n        shape.pngHeightPixels,\r\n        res.imageState.crop.y\r\n      );\r\n\r\n      const bottomCroppedValue = this.getCroppedValueFromBottom(\r\n        shape.pngHeightPixels,\r\n        res.imageState.crop.y + res.imageState.crop.height\r\n      );\r\n\r\n      actionStore.createCropAction(this.activeShapeId, {\r\n        left: leftCroppedValue,\r\n        right: rightCroppedValue,\r\n        top: topCroppedValue,\r\n        bottom: bottomCroppedValue,\r\n      });\r\n\r\n      this.shapeStore.$patch((state) => {\r\n        state.shapes.splice(idx, 1, {\r\n          ...state.shapes[idx],\r\n          backgroundImage: URL.createObjectURL(res.dest),\r\n          pngFileWithoutConverters: res.dest,\r\n          pngFile: res.dest,\r\n          height: height,\r\n          width: width,\r\n          aspectRatio: width / height,\r\n          pngWidthPixels: res.imageState.crop.width,\r\n          pngHeightPixels: res.imageState.crop.height,\r\n          variantArtworkImages: [],\r\n          smallDetailsResult,\r\n        });\r\n      });\r\n\r\n      await this.updateColorsAfterImageIsAdjusted(this.activeShapeId, true);\r\n\r\n      if (this.shapes[idx]) {\r\n        await this.applyEffectIfNeeded(\r\n          productStore.selectedPrintPosition.id,\r\n          productStore.selectedPrintPosition.techniqueId,\r\n          this.shapes[idx]\r\n        );\r\n\r\n        const activeShape = this.shapes.find(\r\n          (shape) => shape.id === this.activeShapeId\r\n        );\r\n        const scaledArea = this.printPositionArea(\r\n          this.activePosition.id || '',\r\n          true\r\n        );\r\n\r\n        const productArea = this.activePosition.printArea;\r\n\r\n        if (activeShape && scaledArea && productArea) {\r\n          this.updateShapePosition(activeShape, scaledArea, productArea);\r\n        }\r\n      }\r\n\r\n      \r\n\r\n      if (this.shapes[idx]) {\r\n        this.updateMirrorShape(this.shapes[idx]);\r\n      }\r\n\r\n      const eventPayload = generateEventPayloadV2();\r\n\r\n      this.$emit('wizard:price-params-changed', {\r\n        productPrintPositions: eventPayload,\r\n      });\r\n\r\n      this.checkIsShapeInArea(activeShape?.id);\r\n\r\n      this.runValidators();\r\n\r\n      const snapshot = createStateSnapshot();\r\n      this.recordHistory(snapshot);\r\n\r\n      this.$emit('close:crop-editor');\r\n    });\r\n\r\n    stickerEditor.on('close', () => {\r\n      this.$emit('close:crop-editor');\r\n    });\r\n  },\r\n  methods: {\r\n    ...mapActions(useShapeStore, [\r\n      'updateColorsAfterImageIsAdjusted',\r\n      'applyEffectIfNeeded', 'checkIsShapeInArea'\r\n    ]),\r\n    ...mapActions(useHistoryStore, ['recordHistory']),\r\n    ...mapActions(useMirrorStore, ['updateMirrorShape']),\r\n    ...mapActions(useNotificationStore, ['runValidators']),\r\n\r\n    getCroppedValueFromLeftSide(originalWidth, croppedValue) {\r\n      if (croppedValue === 0) {\r\n        return 0;\r\n      }\r\n      //percantage cropped shape value from left side\r\n      return (croppedValue * 100) / originalWidth;\r\n    },\r\n    getCroppedValueFromRightSide(originalWidth, croppedValue) {\r\n      const croppedValuePixels = originalWidth - croppedValue;\r\n      if (croppedValuePixels === 0) {\r\n        return 0;\r\n      }\r\n      //percantage cropped shape value from right side\r\n      return (croppedValuePixels * 100) / originalWidth;\r\n    },\r\n    getCroppedValueFromTop(originalHeight, croppedValue) {\r\n      if (croppedValue === 0) {\r\n        return 0;\r\n      }\r\n      //percantage cropped shape value from top\r\n      return (croppedValue * 100) / originalHeight;\r\n    },\r\n    getCroppedValueFromBottom(originalHeight, croppedValue) {\r\n      const croppedValuePixels = originalHeight - croppedValue;\r\n      if (croppedValuePixels === 0) {\r\n        return 0;\r\n      }\r\n      //percantage cropped shape value from right side\r\n      return (croppedValuePixels * 100) / originalHeight;\r\n    },\r\n  },\r\n});\r\n</script>\r\n\r\n<style scoped></style>\r\n","import mod from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--13-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./CropEditor.vue?vue&type=script&lang=js\"; export default mod; export * from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--13-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./CropEditor.vue?vue&type=script&lang=js\"","import { render, staticRenderFns } from \"./CropEditor.vue?vue&type=template&id=a929b73e&scoped=true\"\nimport script from \"./CropEditor.vue?vue&type=script&lang=js\"\nexport * from \"./CropEditor.vue?vue&type=script&lang=js\"\nfunction injectStyles (context) {\n  \n  \n}\n\n/* normalize component */\nimport normalizer from \"!../../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  \"a929b73e\",\n  null\n  ,true\n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('div',{staticClass:\"notifications-management\"},[(_vm.isNotContainerOpen)?_c('open-notifications',{attrs:{\"notifications-num\":_vm.notificationsNum,\"notifications\":_vm.redAndOrangeNotifications,\"has-red-notifications\":_vm.hasRedNotifications},on:{\"notifications:close\":function($event){_vm.isNotContainerOpen = false}}}):_c('closed-notifications',{attrs:{\"notifications-num\":_vm.notificationsNum,\"has-red-notifications\":_vm.hasRedNotifications},on:{\"notifications:open\":function($event){_vm.isNotContainerOpen = true}}})],1)\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('div',{staticClass:\"closed-notifications\"},[_c('button',{staticClass:\"closed-notifications__btn\",style:({ '--color': _vm.hasRedNotifications ? '#DA1E28' : '#FFFFFF' }),on:{\"click\":function($event){return _vm.$emit('notifications:open')}}},[_c('notifications-header',{attrs:{\"is-open\":false,\"notifications-num\":_vm.notificationsNum,\"has-red-notifications\":_vm.hasRedNotifications}})],1)])\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('div',{staticClass:\"notifications-header\"},[_c('notification-24',{staticClass:\"notifications-header__bell-icon\",style:({ '--color': _vm.hasRedNotifications ? '#FFFFFF' : '#000000' })}),(_vm.notificationsNum > 0)?_c('span',{staticClass:\"notifications-header__dot\",style:({ '--color': _vm.hasRedNotifications ? '#FFFFFF' : '#000000' })}):_vm._e(),(_vm.notificationsNum === 0)?_c('span',{staticClass:\"notifications-header__label\",style:({ '--color': '#000000' })},[_vm._v(\" \"+_vm._s(_vm.$t('wizard-v2.notification-options.no-notifications'))+\" \")]):(_vm.hasRedNotifications)?_c('span',{staticClass:\"notifications-header__label\",style:({ '--color': _vm.hasRedNotifications ? '#FFFFFF' : '#000000' })},[_vm._v(\" \"+_vm._s(_vm.$t('wizard-v2.notification-options.action-required'))+\" \")]):_c('span',{staticClass:\"notifications-header__label\",style:({ '--color': '#000000' })},[_vm._v(\" \"+_vm._s(_vm.notificationsNum)+\" \"+_vm._s(_vm.$t('wizard-v2.notification-options.notifications'))+\" \")]),(!_vm.isOpen)?_c('chevron-down-24',{staticClass:\"notifications-header__down-icon\",style:({ '--color': _vm.hasRedNotifications ? '#FFFFFF' : '#000000' })}):_c('chevron-up-24',{staticClass:\"notifications-header__down-icon\",style:({ '--color': _vm.hasRedNotifications ? '#FFFFFF' : '#000000' })})],1)\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","/**\n * Copyright IBM Corp. 2019, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nimport { c as createSVGComponent } from '../utils-9450cd75.js';\nimport '@carbon/icon-helpers';\nimport 'vue';\n\nconst Notification24 = createSVGComponent('Notification24', {\n  \"xmlns\": \"http://www.w3.org/2000/svg\",\n  \"viewBox\": \"0 0 32 32\",\n  \"fill\": \"currentColor\",\n  \"width\": 24,\n  \"height\": 24\n}, [{\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M28.7071,19.293,26,16.5859V13a10.0136,10.0136,0,0,0-9-9.9492V1H15V3.0508A10.0136,10.0136,0,0,0,6,13v3.5859L3.2929,19.293A1,1,0,0,0,3,20v3a1,1,0,0,0,1,1h7v.7768a5.152,5.152,0,0,0,4.5,5.1987A5.0057,5.0057,0,0,0,21,25V24h7a1,1,0,0,0,1-1V20A1,1,0,0,0,28.7071,19.293ZM19,25a3,3,0,0,1-6,0V24h6Zm8-3H5V20.4141L7.707,17.707A1,1,0,0,0,8,17V13a8,8,0,0,1,16,0v4a1,1,0,0,0,.293.707L27,20.4141Z\"\n  }\n}]);\n\nexport { Notification24 as default };\n","/**\n * Copyright IBM Corp. 2019, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nimport { c as createSVGComponent } from '../utils-9450cd75.js';\nimport '@carbon/icon-helpers';\nimport 'vue';\n\nconst ChevronDown24 = createSVGComponent('ChevronDown24', {\n  \"xmlns\": \"http://www.w3.org/2000/svg\",\n  \"viewBox\": \"0 0 32 32\",\n  \"fill\": \"currentColor\",\n  \"width\": 24,\n  \"height\": 24\n}, [{\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M16 22L6 12 7.4 10.6 16 19.2 24.6 10.6 26 12z\"\n  }\n}]);\n\nexport { ChevronDown24 as default };\n","/**\n * Copyright IBM Corp. 2019, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nimport { c as createSVGComponent } from '../utils-9450cd75.js';\nimport '@carbon/icon-helpers';\nimport 'vue';\n\nconst ChevronUp24 = createSVGComponent('ChevronUp24', {\n  \"xmlns\": \"http://www.w3.org/2000/svg\",\n  \"viewBox\": \"0 0 32 32\",\n  \"fill\": \"currentColor\",\n  \"width\": 24,\n  \"height\": 24\n}, [{\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M16 10L26 20 24.6 21.4 16 12.8 7.4 21.4 6 20z\"\n  }\n}]);\n\nexport { ChevronUp24 as default };\n","\r\nimport Vue from 'vue';\r\nimport Notification24 from '@carbon/icons-vue/es/notification/24';\r\nimport ChevronDown24 from '@carbon/icons-vue/es/chevron--down/24';\r\nimport ChevronUp24 from '@carbon/icons-vue/es/chevron--up/24';\r\n\r\nexport default Vue.extend({\r\n  name: 'NotificationsHeader',\r\n\r\n  components: {\r\n    Notification24,\r\n    ChevronDown24,\r\n    ChevronUp24,\r\n  },\r\n\r\n  props: {\r\n    isOpen: {\r\n      type: Boolean,\r\n      required: true,\r\n      default: false,\r\n    },\r\n    notificationsNum: {\r\n      type: Number,\r\n      required: true,\r\n      default: 0,\r\n    },\r\n    hasRedNotifications: {\r\n      type: Boolean,\r\n      required: false,\r\n      default: false,\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./NotificationsHeader.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./NotificationsHeader.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./NotificationsHeader.vue?vue&type=template&id=62678cad&scoped=true\"\nimport script from \"./NotificationsHeader.vue?vue&type=script&lang=ts\"\nexport * from \"./NotificationsHeader.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./NotificationsHeader.vue?vue&type=style&index=0&id=62678cad&prod&lang=scss&scoped=true\")\nif (style0.__inject__) style0.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  \"62678cad\",\n  null\n  ,true\n)\n\nexport default component.exports","\r\nimport Vue from 'vue';\r\nimport NotificationsHeader from './NotificationsHeader.vue';\r\n\r\nexport default Vue.extend({\r\n  name: 'ClosedNotifications',\r\n\r\n  components: {\r\n    NotificationsHeader,\r\n  },\r\n  props: {\r\n    notificationsNum: {\r\n      type: Number,\r\n      required: true,\r\n      default: 0,\r\n    },\r\n    hasRedNotifications: {\r\n      type: Boolean,\r\n      required: true,\r\n      default: false,\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./ClosedNotifications.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./ClosedNotifications.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./ClosedNotifications.vue?vue&type=template&id=6e8e97bd&scoped=true\"\nimport script from \"./ClosedNotifications.vue?vue&type=script&lang=ts\"\nexport * from \"./ClosedNotifications.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./ClosedNotifications.vue?vue&type=style&index=0&id=6e8e97bd&prod&lang=scss&scoped=true\")\nif (style0.__inject__) style0.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  \"6e8e97bd\",\n  null\n  ,true\n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('div',{staticClass:\"open-notifications\"},[_c('button',{staticClass:\"open-notifications__btn\",style:({ '--color': _vm.hasRedNotifications ? '#DA1E28' : '#FFFFFF' }),on:{\"click\":function($event){return _vm.$emit('notifications:close')}}},[_c('notifications-header',{attrs:{\"is-open\":true,\"notifications-num\":_vm.notificationsNum,\"has-red-notifications\":_vm.hasRedNotifications}})],1),(_vm.notificationsNum === 0)?_c('div',{staticClass:\"open-notifications__container-1\"},[_c('div',{staticClass:\"open-notifications__all-green\"},[_c('checkmark-outline-32',{staticClass:\"open-notifications__checkmark\"}),_c('span',{staticClass:\"open-notifications__bold-label\"},[_vm._v(_vm._s(_vm.$t('wizard-v2.notification-options.congratulations')))]),_c('span',{staticClass:\"open-notifications__decs-label\"},[_vm._v(_vm._s(_vm.$t('wizard-v2.notification-options.all-green')))])],1)]):_c('div',{staticClass:\"open-notifications__container-2\"},[_c('div',{staticClass:\"scrollbar-containter open-notifications__validations\",style:({ '--scroll': _vm.notificationsNum > 3 ? 'scroll' : 'hidden' })},_vm._l((_vm.notifications),function(notification,idx){return _c('notification-toast',{key:idx,attrs:{\"notification\":notification}})}),1)])])\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","/**\n * Copyright IBM Corp. 2019, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nimport { c as createSVGComponent } from '../utils-9450cd75.js';\nimport '@carbon/icon-helpers';\nimport 'vue';\n\nconst CheckmarkOutline32 = createSVGComponent('CheckmarkOutline32', {\n  \"xmlns\": \"http://www.w3.org/2000/svg\",\n  \"viewBox\": \"0 0 32 32\",\n  \"fill\": \"currentColor\",\n  \"width\": 32,\n  \"height\": 32\n}, [{\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M14 21.414L9 16.413 10.413 15 14 18.586 21.585 11 23 12.415 14 21.414z\"\n  }\n}, {\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M16,2A14,14,0,1,0,30,16,14,14,0,0,0,16,2Zm0,26A12,12,0,1,1,28,16,12,12,0,0,1,16,28Z\"\n  }\n}]);\n\nexport { CheckmarkOutline32 as default };\n","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('div',{staticClass:\"notification\"},[(_vm.toastNotification)?_c('cv-toast-notification',{staticClass:\"notification__toast\",style:({\n      '--border-color':\n        _vm.toastNotification.kind === 'error' ? '#DA1E284D' : '#F1C21B4D',\n    }),attrs:{\"kind\":_vm.toastNotification.kind,\"title\":_vm.toastNotification.title,\"sub-title\":_vm.toastNotification.subTitle,\"caption\":_vm.toastNotification.caption,\"low-contrast\":true,\"hide-close-button\":true}}):_vm._e()],1)\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","import { AnnotationShape } from '@/web-components/import-wizard-v2/typings/common';\r\nimport {\r\n  NotificationResult,\r\n  ToastNotification,\r\n  ToastNotificationKind,\r\n  ValidatorColor,\r\n} from '@/web-components/import-wizard-v2/typings/notification';\r\nimport i18n from '@/i18n';\r\n\r\nexport function mapToastNotification(\r\n  notification: NotificationResult,\r\n  shape: AnnotationShape | undefined\r\n): ToastNotification | undefined {\r\n  if (notification.validatorName === 'commercialRemark') {\r\n    return {\r\n      kind: getToastNotificationKind(notification.validatorColor),\r\n      title: i18n\r\n        .t('wizard-v2.notification-options.commercial-remark')\r\n        .toString(),\r\n      subTitle: i18n.t(notification.message).toString(),\r\n      caption: `${notification.printPositionName}`,\r\n    };\r\n  }\r\n\r\n  if (notification.validatorName === 'emptyPrintPosition') {\r\n    return {\r\n      kind: getToastNotificationKind(notification.validatorColor),\r\n      title: i18n\r\n        .t('wizard-v2.notification-options.empty-print-position')\r\n        .toString(),\r\n      subTitle: i18n\r\n        .t('wizard-v2.notification-options.empty-print-position-msg')\r\n        .toString(),\r\n      caption: `${notification.printPositionName}`,\r\n    };\r\n  }\r\n\r\n  if (notification.validatorName === 'smallDetails' && shape) {\r\n    const smallDetailsStatusTranslation = shape.smallDetailsResult\r\n      ? getSmallDetailsStatus(shape.smallDetailsResult.status)\r\n      : '';\r\n\r\n    const shapeDescription =\r\n      shape.kind === 'Logo' ? shape.fileName : shape.w2pText.text;\r\n\r\n    return {\r\n      kind: getToastNotificationKind(notification.validatorColor),\r\n      title: i18n.t('wizard-v2.notification-options.small-details').toString(),\r\n      subTitle: i18n\r\n        .tc('wizard-v2.notification-options.small-details-msg', 1, {\r\n          status: smallDetailsStatusTranslation,\r\n        })\r\n        .toString(),\r\n      caption: `${notification.printPositionName} : ${shapeDescription}`,\r\n    };\r\n  }\r\n\r\n  if (notification.validatorName === 'outOfBoundaries' && shape) {\r\n    const shapeDescription =\r\n      shape.kind === 'Logo' ? shape.fileName : shape.w2pText.text;\r\n\r\n    return {\r\n      kind: getToastNotificationKind(notification.validatorColor),\r\n      title: i18n\r\n        .t('wizard-v2.notification-options.out-of-boundaries')\r\n        .toString(),\r\n      subTitle: i18n\r\n        .t('wizard-v2.notification-options.out-of-boundaries-msg')\r\n        .toString(),\r\n      caption: `${notification.printPositionName} : ${shapeDescription}`,\r\n    };\r\n  }\r\n\r\n  if (\r\n    notification.validatorName === 'fileTypeValidator' &&\r\n    shape &&\r\n    shape.kind === 'Logo'\r\n  ) {\r\n    return {\r\n      kind: getToastNotificationKind(notification.validatorColor),\r\n      title: i18n.t('wizard-v2.notification-options.file-type').toString(),\r\n      subTitle: i18n\r\n        .tc('wizard-v2.notification-options.file-type-msg', 1, {\r\n          message: notification.message,\r\n        })\r\n        .toString(),\r\n      caption: `${notification.printPositionName} : ${shape.fileName}`,\r\n    };\r\n  }\r\n\r\n  if (\r\n    notification.validatorName === 'vectorFileValidator' &&\r\n    shape &&\r\n    shape.kind === 'Logo'\r\n  ) {\r\n    return {\r\n      kind: getToastNotificationKind(notification.validatorColor),\r\n      title: i18n.t('wizard-v2.notification-options.vector-file').toString(),\r\n      subTitle: i18n\r\n        .tc('wizard-v2.notification-options.file-type-msg', 1, {\r\n          message: notification.message,\r\n        })\r\n        .toString(),\r\n      caption: `${notification.printPositionName} : ${shape.fileName}`,\r\n    };\r\n  }\r\n\r\n  if (\r\n    notification.validatorName === 'resolutionValidator' &&\r\n    shape &&\r\n    shape.kind === 'Logo'\r\n  ) {\r\n    return {\r\n      kind: getToastNotificationKind(notification.validatorColor),\r\n      title: i18n\r\n        .t('wizard-v2.notification-options.file-resolution')\r\n        .toString(),\r\n      subTitle:\r\n        notification.validatorColor === 'Red'\r\n          ? i18n\r\n              .tc(\r\n                'wizard-v2.notification-options.file-resolution-error-msg',\r\n                1,\r\n                {\r\n                  message: notification.message,\r\n                }\r\n              )\r\n              .toString()\r\n          : i18n\r\n              .tc(\r\n                'wizard-v2.notification-options.file-resolution-warning-msg',\r\n                1,\r\n                {\r\n                  message: notification.message,\r\n                }\r\n              )\r\n              .toString(),\r\n      caption: `${notification.printPositionName} : ${shape.fileName}`,\r\n    };\r\n  }\r\n\r\n  if (\r\n    notification.validatorName === 'spotColorsValidator' &&\r\n    shape &&\r\n    shape.kind === 'Logo'\r\n  ) {\r\n    return {\r\n      kind: getToastNotificationKind(notification.validatorColor),\r\n      title: i18n.t('wizard-v2.notification-options.spot-colors').toString(),\r\n      subTitle: i18n\r\n        .t('wizard-v2.notification-options.spot-colors-msg')\r\n        .toString(),\r\n      caption: `${notification.printPositionName} : ${shape.fileName}`,\r\n    };\r\n  }\r\n\r\n  if (notification.validatorName === 'maxNumberOfColoursValidator') {\r\n    return {\r\n      kind: getToastNotificationKind(notification.validatorColor),\r\n      title: i18n\r\n        .t('wizard-v2.notification-options.maximum-number-of-colors')\r\n        .toString(),\r\n      subTitle: i18n\r\n        .t('wizard-v2.notification-options.maximum-number-of-colors-msg')\r\n        .toString(),\r\n      caption: `${notification.printPositionName}`,\r\n    };\r\n  }\r\n}\r\n\r\nexport function getToastNotificationKind(\r\n  validatorColor: ValidatorColor\r\n): ToastNotificationKind {\r\n  if (validatorColor === 'Red') return 'error';\r\n  if (validatorColor === 'Orange') return 'warning';\r\n  return 'info';\r\n}\r\n\r\nexport function getSmallDetailsStatus(status: string): string {\r\n  if (status === 'Average') {\r\n    return i18n.t('wizard-v2.small-details-options.status.average').toString();\r\n  } else if (status === 'Bad') {\r\n    return i18n.t('wizard-v2.small-details-options.status.bad').toString();\r\n  } else {\r\n    return i18n.t('wizard-v2.small-details-options.status.good').toString();\r\n  }\r\n}\r\n","\r\nimport Vue, { PropType } from 'vue';\r\nimport { CvToastNotification } from '@carbon/vue';\r\nimport {\r\n  NotificationResult,\r\n  ToastNotification,\r\n} from '../../typings/notification';\r\nimport { mapToastNotification } from '../../../../utils/notificationMapper';\r\nimport { useStore as useShapeStore } from '@/stores/v2/shape';\r\nimport { mapState } from 'pinia';\r\n\r\nexport default Vue.extend({\r\n  name: 'NotificationToast',\r\n\r\n  components: {\r\n    CvToastNotification,\r\n  },\r\n  props: {\r\n    notification: {\r\n      type: Object as PropType<NotificationResult>,\r\n      required: true,\r\n    },\r\n  },\r\n  computed: {\r\n    ...mapState(useShapeStore, ['shapeById']),\r\n\r\n    toastNotification(): ToastNotification | undefined {\r\n      if (this.notification.shapeId) {\r\n        const shape = this.shapeById(this.notification.shapeId);\r\n        return mapToastNotification(this.notification, shape);\r\n      }\r\n      return mapToastNotification(this.notification, undefined);\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./NotificationToast.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./NotificationToast.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./NotificationToast.vue?vue&type=template&id=14695db1&scoped=true\"\nimport script from \"./NotificationToast.vue?vue&type=script&lang=ts\"\nexport * from \"./NotificationToast.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./NotificationToast.vue?vue&type=style&index=0&id=14695db1&prod&lang=scss&scoped=true\")\nif (style0.__inject__) style0.__inject__(context)\nvar style1 = require(\"./NotificationToast.vue?vue&type=style&index=1&id=14695db1&prod&lang=scss\")\nif (style1.__inject__) style1.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  \"14695db1\",\n  null\n  ,true\n)\n\nexport default component.exports","\r\nimport Vue, { PropType } from 'vue';\r\nimport NotificationsHeader from './NotificationsHeader.vue';\r\nimport CheckmarkOutline32 from '@carbon/icons-vue/es/checkmark--outline/32';\r\nimport NotificationToast from './NotificationToast.vue';\r\nimport { NotificationResult } from '../../typings/notification';\r\n\r\nexport default Vue.extend({\r\n  name: 'OpenNotifications',\r\n\r\n  components: {\r\n    NotificationsHeader,\r\n    CheckmarkOutline32,\r\n    NotificationToast,\r\n  },\r\n  props: {\r\n    notificationsNum: {\r\n      type: Number,\r\n      required: true,\r\n      default: 0,\r\n    },\r\n    hasRedNotifications: {\r\n      type: Boolean,\r\n      required: true,\r\n      default: false,\r\n    },\r\n    notifications: {\r\n      type: [] as PropType<NotificationResult[]>,\r\n      required: false,\r\n      default: [],\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./OpenNotifications.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./OpenNotifications.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./OpenNotifications.vue?vue&type=template&id=ff8f7e6c&scoped=true\"\nimport script from \"./OpenNotifications.vue?vue&type=script&lang=ts\"\nexport * from \"./OpenNotifications.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./OpenNotifications.vue?vue&type=style&index=0&id=ff8f7e6c&prod&lang=scss&scoped=true\")\nif (style0.__inject__) style0.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  \"ff8f7e6c\",\n  null\n  ,true\n)\n\nexport default component.exports","\r\nimport Vue from 'vue';\r\nimport { useStore as useNotificationStore } from '@/stores/v2/notification';\r\nimport { mapState } from 'pinia';\r\nimport ClosedNotifications from './ClosedNotifications.vue';\r\nimport OpenNotifications from './OpenNotifications.vue';\r\n\r\nexport default Vue.extend({\r\n  name: 'NotificationsManagement',\r\n\r\n  components: {\r\n    ClosedNotifications,\r\n    OpenNotifications,\r\n  },\r\n\r\n  data() {\r\n    return {\r\n      isNotContainerOpen: false,\r\n    };\r\n  },\r\n\r\n  computed: {\r\n    ...mapState(useNotificationStore, [\r\n      'redAndOrangeNotifications',\r\n      'hasRedNotifications',\r\n    ]),\r\n\r\n    notificationsNum(): number {\r\n      return (\r\n        this.redAndOrangeNotifications && this.redAndOrangeNotifications.length\r\n      );\r\n    },\r\n  },\r\n\r\n  methods: {},\r\n});\r\n","import mod from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./NotificationsManagement.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./NotificationsManagement.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./NotificationsManagement.vue?vue&type=template&id=0fc3161f&scoped=true\"\nimport script from \"./NotificationsManagement.vue?vue&type=script&lang=ts\"\nexport * from \"./NotificationsManagement.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  \n}\n\n/* normalize component */\nimport normalizer from \"!../../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  \"0fc3161f\",\n  null\n  ,true\n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return (!_vm.isDisabled)?_c('div',{staticClass:\"manual-check-container\"},[_c('div',{staticClass:\"link-primary\",on:{\"click\":_vm.onManualCheck}},[_c('reset-16',{staticClass:\"manual-check-container__reset-button\"}),_c('span',{staticClass:\"ml-5 manual-check-container__check-label\"},[_vm._v(_vm._s(_vm.$t('wizard-v2.small-details.check-small-details')))])],1),_c('span',{staticClass:\"manual-check-container__check-label caption-01-text-02 ml-5\"},[_vm._v(\" \"+_vm._s(_vm.$t('wizard-v2.small-details.last-check'))+_vm._s(_vm.checkStatusLabel))]),_c('small-details-loader',{attrs:{\"is-open\":_vm.isLoaderOpen}}),(_vm.isSmallDetailsOpen)?_c('small-details-multiple-logos',{attrs:{\"is-open\":_vm.isSmallDetailsOpen,\"use-version2\":true},on:{\"action:back-to-wizard\":function($event){return _vm.backToWizard()},\"action:open-logo-library\":function($event){return _vm.$emit('modal:open')}}}):_vm._e(),_c('small-details-confirmation',{attrs:{\"is-open\":_vm.isConfirmationOpen},on:{\"action:back-to-wizard\":function($event){return _vm.backToWizard()},\"action:check-small-details\":() => {\n        _vm.isSmallDetailsOpen = true;\n        _vm.isConfirmationOpen = false;\n      },\"action:use-current-design\":_vm.onUseCurrentDesign}})],1):_vm._e()\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","import { AnnotationShape } from '@/web-components/import-wizard-v2/typings/common';\r\nimport { SmallDetailsPayload } from '@/typings';\r\nimport { useStore as useProductStore } from '@/stores/v2/product';\r\nimport { useStore as useShapeStore } from '@/stores/v2/shape';\r\nimport { useStore as useNotificationStore } from '@/stores/v2/notification';\r\nimport imageProcessingAPI from '@/services/FileService';\r\nimport { base64StringToBlob } from 'blob-util';\r\nimport { CheckImageSmallDetailsCommand } from '@/typings/SmallDetails';\r\nimport { DefaultSmallDetailsResult } from '@/typings/SmallDetails';\r\nimport { SmallDetailsStatus } from '@midocean/webapps-shared-domain';\r\n\r\nexport function getSmallDetailsStatus(\r\n  positiveLoss: number,\r\n  negativeLoss: number,\r\n  calculatedQuality?: number\r\n): SmallDetailsStatus {\r\n  if (positiveLoss + negativeLoss > 10) {\r\n    return 'Bad';\r\n  } else if (positiveLoss + negativeLoss > 1) {\r\n    return 'Average';\r\n  } else if (\r\n    calculatedQuality === 0 &&\r\n    positiveLoss === 0 &&\r\n    negativeLoss === 0\r\n  ) {\r\n    return 'NoCheck';\r\n  } else {\r\n    return 'Good';\r\n  }\r\n}\r\n\r\nexport function getSmallDetailsValidatorColor(\r\n  status: SmallDetailsStatus\r\n): 'Red' | 'Green' | 'Orange' {\r\n  switch (status) {\r\n    case 'Good':\r\n      return 'Green';\r\n    case 'Average':\r\n      return 'Orange';\r\n    case 'Bad':\r\n      return 'Red';\r\n    default:\r\n      return 'Green';\r\n  }\r\n}\r\n\r\nexport function getShapesForRevalidation(): AnnotationShape[] {\r\n  const shapeStore = useShapeStore();\r\n  return shapeStore.shapes.filter(\r\n    (x) => x.smallDetailsResult && x.smallDetailsResult.isCheckValid === false\r\n  );\r\n}\r\n\r\nexport async function revalidateSmallDetails(): Promise<void> {\r\n  const shapeStore = useShapeStore();\r\n  const productStore = useProductStore();\r\n  const notificationStore = useNotificationStore();\r\n\r\n  const shapesToRevalidate = getShapesForRevalidation();\r\n  if (shapesToRevalidate.length > 0) {\r\n    const results = await Promise.all(\r\n      shapesToRevalidate.map(async (shape) => {\r\n        if (!shape.smallDetailsResult?.isCheckValid) {\r\n          const positionId = shapeStore.positionShapeMap.find(\r\n            (x) => x.logoId === shape.id\r\n          )?.id;\r\n          if (positionId) {\r\n            const printPosition = productStore.data.productPrintPositions.find(\r\n              (x) => x.id === positionId\r\n            );\r\n            if (printPosition) {\r\n              const techniqueId = productStore.unavailablePrintPositions.find(\r\n                (x) => x.positionId === positionId\r\n              )?.technique.id;\r\n              const limitation = printPosition.printTechniques.find(\r\n                (x) => x.id === techniqueId\r\n              )?.printTechnique.limitation;\r\n              if (limitation) {\r\n                let command: CheckImageSmallDetailsCommand;\r\n                let blob: Blob;\r\n                // Handle logo case\r\n                if (shape.kind === 'Logo') {\r\n                  command = {\r\n                    id: shape.id,\r\n                    logoWidthInMm: shape.widthOnProductMM,\r\n                    positiveLimitInMm: limitation.positiveLimitMM,\r\n                    negativeLimitInMm: limitation.negativeLimitMM,\r\n                    ignoreColors:\r\n                      limitation.ignoreColors ||\r\n                      Array.from(\r\n                        new Set(shape.pmsColorsInPngFile.map((obj) => obj.name))\r\n                      ).length === 1,\r\n                  };\r\n                  blob = shape.pngFileWithoutConverters as Blob;\r\n                } else {\r\n                  command = {\r\n                    id: shape.id,\r\n                    logoWidthInMm: shape.originalWidthMM,\r\n                    positiveLimitInMm: limitation.positiveLimitMM,\r\n                    negativeLimitInMm: limitation.negativeLimitMM,\r\n                    ignoreColors: limitation.ignoreColors,\r\n                  };\r\n                  blob = shape.pngFileWithoutConverters as Blob;\r\n                }\r\n\r\n                const { data } =\r\n                  await imageProcessingAPI.checkImageSmallDetails(\r\n                    command,\r\n                    blob\r\n                  );\r\n\r\n                const smallDetails = {\r\n                  ...data,\r\n                  pngFile: data.pngFile !== null ? data.pngFile : '',\r\n                  pngFileBlob:\r\n                    data.pngFile !== null\r\n                      ? base64StringToBlob(data.pngFile, 'image/png')\r\n                      : new Blob(),\r\n                  isCheckValid: true,\r\n                  approvedAt: undefined,\r\n                  id: data.id,\r\n                  status: getSmallDetailsStatus(\r\n                    data.positiveDetailsLoss,\r\n                    data.negativeDetailsLoss,\r\n                    data.calculatedQuality\r\n                  ),\r\n                } as SmallDetailsPayload;\r\n\r\n                return { id: shape.id, smallDetails };\r\n              }\r\n            }\r\n          }\r\n        }\r\n      })\r\n    );\r\n    shapeStore.$patch((state) => {\r\n      results.forEach((x) => {\r\n        if (x) {\r\n          const shapeIdx = state.shapes.findIndex((p) => p.id === x.id);\r\n          state.shapes.splice(shapeIdx, 1, {\r\n            ...state.shapes[shapeIdx],\r\n            smallDetailsResult: {\r\n              positiveDetailsLoss: x.smallDetails.positiveDetailsLoss,\r\n              negativeDetailsLoss: x.smallDetails.negativeDetailsLoss,\r\n              calculatedQuality: x.smallDetails.calculatedQuality,\r\n              approvedAt: x.smallDetails.approvedAt,\r\n              status: x.smallDetails.status,\r\n              pngFile: x.smallDetails.pngFile,\r\n              pngFileBlob: x.smallDetails.pngFileBlob,\r\n              isCheckValid: true,\r\n              id: x.smallDetails.id,\r\n            },\r\n          });\r\n        }\r\n      });\r\n    });\r\n  }\r\n}\r\n\r\nexport function mapSmallDetailsPayload(\r\n  shape: AnnotationShape,\r\n  isSmallDetailsTech: boolean\r\n): SmallDetailsPayload | undefined {\r\n  if (isSmallDetailsTech) {\r\n    if (shape.smallDetailsResult) {\r\n      return { ...shape.smallDetailsResult, isCheckValid: false };\r\n    } else {\r\n      return { ...DefaultSmallDetailsResult, id: shape.id };\r\n    }\r\n  } else {\r\n    return undefined;\r\n  }\r\n}\r\n","/**\n * Copyright IBM Corp. 2019, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nimport { c as createSVGComponent } from '../utils-9450cd75.js';\nimport '@carbon/icon-helpers';\nimport 'vue';\n\nconst Reset16 = createSVGComponent('Reset16', {\n  \"xmlns\": \"http://www.w3.org/2000/svg\",\n  \"viewBox\": \"0 0 32 32\",\n  \"fill\": \"currentColor\",\n  \"width\": 16,\n  \"height\": 16\n}, [{\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M18,28A12,12,0,1,0,6,16v6.2L2.4,18.6,1,20l6,6,6-6-1.4-1.4L8,22.2V16H8A10,10,0,1,1,18,26Z\"\n  }\n}]);\n\nexport { Reset16 as default };\n","\r\nimport Vue from 'vue';\r\nimport {\r\n  SmallDetailsLoader,\r\n  SmallDetailsMultipleLogos,\r\n} from '@/components/SmallDetails';\r\nimport { revalidateSmallDetails } from '@/utils/smallDetailsHelperV2';\r\nimport SmallDetailsConfirmation from '@/components/SmallDetails/Confirmation/SmallDetailsConfirmation.vue';\r\nimport { mapState, mapStores, mapActions } from 'pinia';\r\nimport { useStore as useShapeStore } from '@/stores/v2/shape';\r\nimport { useStore as useProductStore } from '@/stores/v2/product';\r\nimport { useStore as useNotificationStore } from '@/stores/v2/notification';\r\nimport { useStore as useGlobalStore } from '@/stores/v2/global';\r\nimport { useStore as useLangStore } from '@/stores/v2/lang';\r\nimport { useStore as useHistoryStore } from '@/stores/v2/history';\r\nimport Reset16 from '@carbon/icons-vue/es/reset/16';\r\nimport { Personalization } from '@midocean/webapps-shared-domain';\r\nimport {\r\n  isRevalidationNeeded,\r\n  trySavePersonalization,\r\n  triggerSmallDetailsCheck,\r\n} from '@/utils/personalizationHelperV2';\r\nimport { DoSmallDetailsPart } from '@/constants/imageProcessingEngine';\r\nimport { PdpChoicesSetterType } from '@/setters/typings';\r\nimport i18n from '@/i18n';\r\nimport { createStateSnapshot } from '@/utils/historyHelperV2';\r\n\r\ndeclare module 'vue/types/vue' {\r\n  interface Vue {\r\n    $pdpChoices: PdpChoicesSetterType;\r\n    $sapCustomerId: string;\r\n    $isEditMode: boolean;\r\n    $personalization: Personalization;\r\n    $isDirectApproval: boolean;\r\n    $customerCompanyLogoUrl: string;\r\n  }\r\n}\r\n\r\nexport default Vue.extend({\r\n  name: 'ManualCheck',\r\n  components: {\r\n    SmallDetailsLoader,\r\n    SmallDetailsMultipleLogos,\r\n    SmallDetailsConfirmation,\r\n    Reset16,\r\n  },\r\n  inject: [\r\n    '$pdpChoices',\r\n    '$sapCustomerId',\r\n    '$isEditMode',\r\n    '$personalization',\r\n    '$isDirectApproval',\r\n    '$customerCompanyLogoUrl',\r\n  ],\r\n  props: {\r\n    triggerSmallDetailsCheck: {\r\n      type: Boolean,\r\n      required: false,\r\n      default: false,\r\n    },\r\n    isConcept: {\r\n      type: Boolean,\r\n      required: false,\r\n      default: false,\r\n    },\r\n  },\r\n  data() {\r\n    return {\r\n      isLoaderOpen: false,\r\n      isSmallDetailsOpen: false,\r\n      isConfirmationOpen: false,\r\n    };\r\n  },\r\n  computed: {\r\n    ...mapStores(useShapeStore, useProductStore, useNotificationStore),\r\n    ...mapState(useShapeStore, ['shapes', 'positionShapeMap', 'activeShapeId']),\r\n    ...mapState(useProductStore, ['data', 'unavailablePrintPositions']),\r\n    ...mapState(useLangStore, ['languageInUse']),\r\n    ...mapState(useNotificationStore, ['notifications']),\r\n\r\n    isDisabled(): boolean {\r\n      return (\r\n        this.shapes.filter((x) => x.smallDetailsResult !== undefined).length ===\r\n        0\r\n      );\r\n    },\r\n    checkStatusLabel(): string {\r\n      let worstStatus = '';\r\n      let worstStatusValue = 3;\r\n      this.shapes.forEach((x) => {\r\n        if (x.smallDetailsResult) {\r\n          if (!x.smallDetailsResult.isCheckValid) {\r\n            worstStatus = i18n\r\n              .t(`wizard-v2.small-details.invalid-check`)\r\n              .toString()\r\n              .toUpperCase();\r\n            worstStatusValue = 0;\r\n          }\r\n          if (\r\n            x.smallDetailsResult.isCheckValid &&\r\n            x.smallDetailsResult.status === 'Bad' &&\r\n            worstStatusValue > 0\r\n          ) {\r\n            worstStatus = i18n\r\n              .t(\r\n                `wizard-v2.small-details.${x?.smallDetailsResult.status.toLowerCase()}`\r\n              )\r\n              .toString()\r\n              .toUpperCase();\r\n            worstStatusValue = 1;\r\n          }\r\n          if (\r\n            x.smallDetailsResult.isCheckValid &&\r\n            x.smallDetailsResult.status === 'Average' &&\r\n            worstStatusValue > 1\r\n          ) {\r\n            worstStatus = i18n\r\n              .t(\r\n                `wizard-v2.small-details.${x?.smallDetailsResult.status.toLowerCase()}`\r\n              )\r\n              .toString()\r\n              .toUpperCase();\r\n            worstStatusValue = 2;\r\n          }\r\n          if (\r\n            x.smallDetailsResult.isCheckValid &&\r\n            x.smallDetailsResult.status === 'Good' &&\r\n            worstStatusValue > 2\r\n          ) {\r\n            worstStatus = i18n\r\n              .t(\r\n                `wizard-v2.small-details.${x?.smallDetailsResult.status.toLowerCase()}`\r\n              )\r\n              .toString()\r\n              .toUpperCase();\r\n            worstStatusValue = 3;\r\n          }\r\n        }\r\n      });\r\n\r\n      return worstStatus;\r\n    },\r\n  },\r\n  watch: {\r\n    triggerSmallDetailsCheck(newValue) {\r\n      if (newValue) {\r\n        this.onManualCheck();\r\n      }\r\n    },\r\n  },\r\n  methods: {\r\n    ...mapActions(useGlobalStore, [\r\n      'setIsProcessingOrder',\r\n      'setIsLoaderActive',\r\n    ]),\r\n    ...mapActions(useNotificationStore, ['runValidators']),\r\n    ...mapActions(useHistoryStore, ['recordHistory']),\r\n\r\n    async onManualCheck() {\r\n      this.$modal.hide('pdf-preview-modal');\r\n\r\n      if (isRevalidationNeeded()) {\r\n        this.isLoaderOpen = true;\r\n        await revalidateSmallDetails();\r\n        this.runValidators();\r\n        this.isLoaderOpen = false;\r\n\r\n        const snapshot = createStateSnapshot();\r\n        this.recordHistory(snapshot);\r\n      }\r\n\r\n      const isConfirmationNeeded =\r\n        this.shapes.filter((x) => x.smallDetailsResult?.status !== 'Good')\r\n          .length > 0;\r\n\r\n      if (this.triggerSmallDetailsCheck && isConfirmationNeeded) {\r\n        this.isConfirmationOpen = true;\r\n      } else if (this.triggerSmallDetailsCheck && !isConfirmationNeeded) {\r\n        this.trySavePersonalization();\r\n      } else {\r\n        this.isSmallDetailsOpen = true;\r\n      }\r\n    },\r\n\r\n    onUseCurrentDesign() {\r\n      const unAcceptedShapes = this.shapes.filter(\r\n        (x) => x.smallDetailsResult?.status !== 'Good'\r\n      );\r\n\r\n      const utcDate = new Date().toISOString();\r\n\r\n      unAcceptedShapes.map((x) => {\r\n        if (x.smallDetailsResult) {\r\n          x.smallDetailsResult.approvedAt = utcDate;\r\n        }\r\n      });\r\n\r\n      this.trySavePersonalization();\r\n\r\n      this.isConfirmationOpen = false;\r\n    },\r\n    async trySavePersonalization() {\r\n      try {\r\n        this.setIsProcessingOrder(true);\r\n        this.setIsLoaderActive(true);\r\n        const personalizationId = await trySavePersonalization(\r\n          this.$isEditMode,\r\n          this.$pdpChoices.productVariants,\r\n          this.$sapCustomerId,\r\n          false,\r\n          this.$isDirectApproval,\r\n          this.$customerCompanyLogoUrl,\r\n          this.languageInUse\r\n        );\r\n        const eventName = this.isConcept\r\n          ? 'wizard:saved-as-concept'\r\n          : 'wizard:ordered';\r\n\r\n        this.$emit(eventName, { personalizationId });\r\n        this.$emit('action:disable-pintura');\r\n      } catch (e: unknown) {\r\n        console.log((e as Error).message);\r\n      } finally {\r\n        this.setIsProcessingOrder(false);\r\n        this.setIsLoaderActive(false);\r\n      }\r\n    },\r\n    backToWizard() {\r\n      this.$emit('action:reset-flag');\r\n      this.isSmallDetailsOpen = false;\r\n      this.isConfirmationOpen = false;\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./ManualCheck.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./ManualCheck.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./ManualCheck.vue?vue&type=template&id=4b35cd64&scoped=true\"\nimport script from \"./ManualCheck.vue?vue&type=script&lang=ts\"\nexport * from \"./ManualCheck.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./ManualCheck.vue?vue&type=style&index=0&id=4b35cd64&prod&lang=scss&scoped=true\")\nif (style0.__inject__) style0.__inject__(context)\nvar style1 = require(\"./ManualCheck.vue?vue&type=style&index=1&id=4b35cd64&prod&lang=scss\")\nif (style1.__inject__) style1.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  \"4b35cd64\",\n  null\n  ,true\n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('div',[_c('modal',{attrs:{\"name\":\"tour-modal\",\"width\":\"800px\",\"height\":\"auto\",\"adaptive\":true,\"click-to-close\":true,\"scrollable\":true}},[_c('div',{staticClass:\"tour-modal\"},[_c('img',{attrs:{\"src\":require('../../../../assets/tour-intro.png')}}),_c('div',{staticClass:\"tour-modal__info\"},[_c('span',{staticClass:\"font-12\"},[_vm._v(_vm._s(_vm.$t('wizard-v2.tour.modal.whats-new')))]),_c('h4',{staticClass:\"font-20\"},[_vm._v(\" \"+_vm._s(_vm.$t('wizard-v2.tour.modal.discover-print-wizard'))+\" \")]),_c('div',{staticClass:\"mt-15\"},[_c('info-box',{attrs:{\"icon\":_vm.CloudUpload16,\"title\":_vm.$t('wizard-v2.tour.modal.easy-upload'),\"text\":_vm.$t('wizard-v2.tour.modal.quick-upload-images')}}),_c('info-box',{attrs:{\"icon\":_vm.TextCreation16,\"title\":_vm.$t('wizard-v2.tour.modal.add-customised-text'),\"text\":_vm.$t('wizard-v2.tour.modal.pesonalise-your-product')}}),_c('info-box',{attrs:{\"icon\":_vm.Select02,\"title\":_vm.$t('wizard-v2.tour.modal.quickly-set-print-positions'),\"text\":_vm.$t('wizard-v2.tour.modal.effortlessly-adjust')}}),_c('info-box',{attrs:{\"icon\":_vm.View16,\"title\":_vm.$t('wizard-v2.tour.modal.instant-preview-product'),\"text\":_vm.$t('wizard-v2.tour.modal.see-exactly-how-item-will-look')}})],1),_c('div',{staticClass:\"tour-modal__info--buttons\"},[_c('cv-button',{attrs:{\"id\":\"preview-text-btn\",\"kind\":\"primary\",\"label\":_vm.$t('wizard-v2.tour.modal.discover-new-features'),\"text\":\"center\"},on:{\"click\":function($event){return _vm.$emit('start-tour')}}},[_vm._v(\" \"+_vm._s(_vm.$t('wizard-v2.tour.modal.discover-new-features'))+\" \")]),_c('cv-button',{attrs:{\"id\":\"preview-text-btn\",\"kind\":\"ghost\",\"label\":_vm.$t('wizard-v2.tour.modal.skip-tour'),\"text\":\"center\"},on:{\"click\":function($event){return _vm.$emit('close-tour-modal')}}},[_vm._v(\" \"+_vm._s(_vm.$t('wizard-v2.tour.modal.skip-tour'))+\" \")])],1)])])])],1)\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('div',{staticClass:\"tour-info-box\"},[_c(_vm.icon,{tag:\"component\",staticClass:\"icon\"}),_c('div',{staticClass:\"tour-info-box__info\"},[_c('h6',{staticClass:\"tour-info-box__info--title font-14\"},[_vm._v(_vm._s(_vm.title))]),_c('span',{staticClass:\"tour-info-box__info--text font-12\"},[_vm._v(_vm._s(_vm.text))])])],1)\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","<template>\r\n  <div class=\"tour-info-box\">\r\n    <component :is=\"icon\" class=\"icon\" />\r\n    <div class=\"tour-info-box__info\">\r\n      <h6 class=\"tour-info-box__info--title font-14\">{{ title }}</h6>\r\n      <span class=\"tour-info-box__info--text font-12\">{{ text }}</span>\r\n    </div>\r\n  </div>\r\n</template>\r\n<script>\r\nimport Vue from 'vue';\r\n\r\nexport default Vue.extend({\r\n  name: 'InfoBox',\r\n  props: {\r\n    title: {\r\n      type: String,\r\n      required: true,\r\n    },\r\n    text: {\r\n      type: String,\r\n      required: true,\r\n    },\r\n    icon: {\r\n      type: Object,\r\n      required: true,\r\n    },\r\n  },\r\n});\r\n</script>\r\n<style lang=\"scss\">\r\n.tour-info-box {\r\n  display: flex;\r\n  justify-content: space-between;\r\n  align-items: flex-start;\r\n  margin-top: 20px;\r\n\r\n  .icon {\r\n  }\r\n  &__info {\r\n    width: 90%;\r\n\r\n    &--text {\r\n      font-size: 12px;\r\n    }\r\n  }\r\n}\r\n</style>\r\n","import mod from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--13-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./InfoBox.vue?vue&type=script&lang=js\"; export default mod; export * from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--13-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./InfoBox.vue?vue&type=script&lang=js\"","import { render, staticRenderFns } from \"./InfoBox.vue?vue&type=template&id=18fb64e4\"\nimport script from \"./InfoBox.vue?vue&type=script&lang=js\"\nexport * from \"./InfoBox.vue?vue&type=script&lang=js\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./InfoBox.vue?vue&type=style&index=0&id=18fb64e4&prod&lang=scss\")\nif (style0.__inject__) style0.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  null,\n  null\n  ,true\n)\n\nexport default component.exports","/**\n * Copyright IBM Corp. 2019, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nimport { c as createSVGComponent } from '../utils-9450cd75.js';\nimport '@carbon/icon-helpers';\nimport 'vue';\n\nconst CloudUpload16 = createSVGComponent('CloudUpload16', {\n  \"xmlns\": \"http://www.w3.org/2000/svg\",\n  \"viewBox\": \"0 0 32 32\",\n  \"fill\": \"currentColor\",\n  \"width\": 16,\n  \"height\": 16\n}, [{\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M11 18L12.41 19.41 15 16.83 15 29 17 29 17 16.83 19.59 19.41 21 18 16 13 11 18z\"\n  }\n}, {\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M23.5,22H23V20h.5a4.5,4.5,0,0,0,.36-9L23,11l-.1-.82a7,7,0,0,0-13.88,0L9,11,8.14,11a4.5,4.5,0,0,0,.36,9H9v2H8.5A6.5,6.5,0,0,1,7.2,9.14a9,9,0,0,1,17.6,0A6.5,6.5,0,0,1,23.5,22Z\"\n  }\n}]);\n\nexport { CloudUpload16 as default };\n","/**\n * Copyright IBM Corp. 2019, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nimport { c as createSVGComponent } from '../utils-9450cd75.js';\nimport '@carbon/icon-helpers';\nimport 'vue';\n\nconst Select_0216 = createSVGComponent('Select_0216', {\n  \"xmlns\": \"http://www.w3.org/2000/svg\",\n  \"viewBox\": \"0 0 32 32\",\n  \"fill\": \"currentColor\",\n  \"width\": 16,\n  \"height\": 16\n}, [{\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M12 6L8 6 8 2 6 2 6 6 2 6 2 8 6 8 6 12 8 12 8 8 12 8 12 6zM30 10V4H24V6H16V8h8v2h2V24H24v2H10V24H8V16H6v8H4v6h6V28H24v2h6V24H28V10zM8 28H6V26H8zm20 0H26V26h2zM26 6h2V8H26z\"\n  }\n}]);\n\nexport { Select_0216 as default };\n","<template>\r\n  <div>\r\n    <modal\r\n      name=\"tour-modal\"\r\n      width=\"800px\"\r\n      height=\"auto\"\r\n      :adaptive=\"true\"\r\n      :click-to-close=\"true\"\r\n      :scrollable=\"true\"\r\n    >\r\n      <div class=\"tour-modal\">\r\n        <img :src=\"require('../../../../assets/tour-intro.png')\" />\r\n        <div class=\"tour-modal__info\">\r\n          <span class=\"font-12\">{{\r\n            $t('wizard-v2.tour.modal.whats-new')\r\n          }}</span>\r\n          <h4 class=\"font-20\">\r\n            {{ $t('wizard-v2.tour.modal.discover-print-wizard') }}\r\n          </h4>\r\n\r\n          <div class=\"mt-15\">\r\n            <info-box\r\n              :icon=\"CloudUpload16\"\r\n              :title=\"$t('wizard-v2.tour.modal.easy-upload')\"\r\n              :text=\"$t('wizard-v2.tour.modal.quick-upload-images')\"\r\n            />\r\n            <info-box\r\n              :icon=\"TextCreation16\"\r\n              :title=\"$t('wizard-v2.tour.modal.add-customised-text')\"\r\n              :text=\"$t('wizard-v2.tour.modal.pesonalise-your-product')\"\r\n            />\r\n            <info-box\r\n              :icon=\"Select02\"\r\n              :title=\"$t('wizard-v2.tour.modal.quickly-set-print-positions')\"\r\n              :text=\"$t('wizard-v2.tour.modal.effortlessly-adjust')\"\r\n            />\r\n            <info-box\r\n              :icon=\"View16\"\r\n              :title=\"$t('wizard-v2.tour.modal.instant-preview-product')\"\r\n              :text=\"$t('wizard-v2.tour.modal.see-exactly-how-item-will-look')\"\r\n            />\r\n          </div>\r\n\r\n          <div class=\"tour-modal__info--buttons\">\r\n            <cv-button\r\n              id=\"preview-text-btn\"\r\n              kind=\"primary\"\r\n              :label=\"$t('wizard-v2.tour.modal.discover-new-features')\"\r\n              text=\"center\"\r\n              @click=\"$emit('start-tour')\"\r\n            >\r\n              {{ $t('wizard-v2.tour.modal.discover-new-features') }}\r\n            </cv-button>\r\n            <cv-button\r\n              id=\"preview-text-btn\"\r\n              kind=\"ghost\"\r\n              :label=\"$t('wizard-v2.tour.modal.skip-tour')\"\r\n              text=\"center\"\r\n              @click=\"$emit('close-tour-modal')\"\r\n            >\r\n              {{ $t('wizard-v2.tour.modal.skip-tour') }}\r\n            </cv-button>\r\n          </div>\r\n        </div>\r\n      </div>\r\n    </modal>\r\n  </div>\r\n</template>\r\n<script>\r\nimport Vue from 'vue';\r\nimport InfoBox from './InfoBox.vue';\r\nimport TextCreation16 from '@carbon/icons-vue/es/text--creation/16';\r\nimport CloudUpload16 from '@carbon/icons-vue/es/cloud--upload/16';\r\nimport Select02 from '@carbon/icons-vue/es/select--02/16';\r\nimport View16 from '@carbon/icons-vue/es/text--creation/16';\r\nimport { CvButton } from '@carbon/vue';\r\n\r\nexport default Vue.extend({\r\n  name: 'TourModal',\r\n  components: { InfoBox, CvButton },\r\n  data() {\r\n    return {\r\n      TextCreation16,\r\n      CloudUpload16,\r\n      Select02,\r\n      View16,\r\n    };\r\n  },\r\n});\r\n</script>\r\n<style lang=\"scss\">\r\n.tour-modal {\r\n  display: flex;\r\n  height: 556px;\r\n  img {\r\n    width: 505px;\r\n    object-fit: cover;\r\n  }\r\n\r\n  &__info {\r\n    padding: 32px;\r\n\r\n    width: 295px;\r\n\r\n    &--buttons {\r\n      margin-top: 30px;\r\n    }\r\n\r\n    &--buttons .cv-button {\r\n      display: flex;\r\n      flex-direction: column;\r\n      width: 100%;\r\n      font-size: 14px;\r\n      justify-content: center;\r\n      padding: 10px;\r\n    }\r\n  }\r\n}\r\n</style>\r\n","import mod from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--13-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./TourModal.vue?vue&type=script&lang=js\"; export default mod; export * from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--13-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./TourModal.vue?vue&type=script&lang=js\"","import { render, staticRenderFns } from \"./TourModal.vue?vue&type=template&id=c2321bf0\"\nimport script from \"./TourModal.vue?vue&type=script&lang=js\"\nexport * from \"./TourModal.vue?vue&type=script&lang=js\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./TourModal.vue?vue&type=style&index=0&id=c2321bf0&prod&lang=scss\")\nif (style0.__inject__) style0.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  null,\n  null\n  ,true\n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('div',{staticClass:\"ruler\",style:({\n    '--ruler1-space': _vm.lowerTicksSpace,\n    '--ruler2-space': _vm.higherTicksSpace,\n    '--top': _vm.topDistance + 'px',\n    '--left': _vm.leftDistance + 'px',\n    '--height': _vm.height + 'px',\n    '--width': _vm.width + 'px',\n  })},[_c('ul',{staticClass:\"ruler-x\"},[_c('li'),_vm._l((_vm.points),function(point){return _c('li',{key:point},[_vm._v(_vm._s(point))])})],2),_c('ul',{staticClass:\"ruler-y\",style:({ '--top': _vm.topDistance + 'px' })},[_c('li',{staticClass:\"ruler-y__top\"}),_vm._l((_vm.points),function(point){return _c('li',{key:point},[_vm._v(_vm._s(point))])})],2)])\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","\r\nimport Vue, { PropType } from 'vue';\r\nimport { useStore as useProductStore } from '@/stores/v2/product';\r\nimport { mm2px } from '@midocean/webapps-shared-domain';\r\nimport { mapActions, mapState } from 'pinia';\r\n\r\nexport default Vue.extend({\r\n  name: 'Ruler',\r\n  props: {\r\n    zoomLevel: {\r\n      type: Number,\r\n      required: false,\r\n      default: 1,\r\n    },\r\n    containerHeight: {\r\n      type: Number,\r\n      required: false,\r\n      default: 1,\r\n    },\r\n    containerWidth: {\r\n      type: Number,\r\n      required: false,\r\n      default: 1,\r\n    },\r\n    canvasSelection: {\r\n      type: Object as PropType<{\r\n        x: number;\r\n        y: number;\r\n        width: number;\r\n        height: number;\r\n      }>,\r\n      required: false,\r\n      default: { x: 0, y: 0, width: 0, height: 0 },\r\n    },\r\n  },\r\n  data() {\r\n    return {\r\n      minMillimeterValue: 1,\r\n      minTopDistance: 75,\r\n      minLeftDistance: 1,\r\n      correctionFactor: 35,\r\n    };\r\n  },\r\n  computed: {\r\n    ...mapState(useProductStore, ['selectedPrintPosition']),\r\n\r\n    numberOfSpaces(): number {\r\n      return this.lowerTicksSpace < 10 || this.lowerTicksSpace > 25 ? 10 : 5;\r\n    },\r\n    lowerTicksSpace(): number {\r\n      return this.getMinLowerTicksSpace();\r\n    },\r\n    higherTicksSpace(): number {\r\n      return this.numberOfSpaces * this.lowerTicksSpace;\r\n    },\r\n\r\n    points(): number[] {\r\n      let millimeters: number[] = [];\r\n      let counter = 1;\r\n      while (counter * this.lowerTicksSpace < this.width) {\r\n        millimeters.push(\r\n          counter * this.numberOfSpaces * this.minMillimeterValue\r\n        );\r\n        counter++;\r\n      }\r\n      return millimeters;\r\n    },\r\n\r\n    width(): number {\r\n      const maxWidth = this.containerWidth - this.correctionFactor + 10;\r\n\r\n      if (\r\n        this.leftDistance === this.minLeftDistance &&\r\n        this.canvasSelection.x < 0\r\n      ) {\r\n        const maxCanvas =\r\n          this.canvasSelection.width - Math.abs(this.canvasSelection.x);\r\n\r\n        return maxCanvas > this.containerWidth - this.correctionFactor\r\n          ? this.containerWidth - this.correctionFactor + 10\r\n          : maxCanvas;\r\n      }\r\n\r\n      return this.canvasSelection.width + this.correctionFactor > maxWidth\r\n        ? maxWidth\r\n        : this.canvasSelection.width + this.correctionFactor;\r\n    },\r\n\r\n    height(): number {\r\n      const maxHeight = this.containerHeight - 4.4 * this.correctionFactor;\r\n      return this.canvasSelection.height > maxHeight\r\n        ? maxHeight\r\n        : this.canvasSelection.height;\r\n    },\r\n\r\n    topDistance(): number {\r\n      const distance = this.canvasSelection.y - this.correctionFactor + 5;\r\n      return distance < this.minTopDistance ? this.minTopDistance : distance;\r\n    },\r\n\r\n    leftDistance(): number {\r\n      const distance = this.canvasSelection.x - this.correctionFactor;\r\n      return distance < this.minLeftDistance ? this.minLeftDistance : distance;\r\n    },\r\n  },\r\n  methods: {\r\n    ...mapActions(useProductStore, ['printPositionArea']),\r\n    getMinLowerTicksSpace(): number {\r\n      if (this.selectedPrintPosition.id) {\r\n        const scaledArea = this.printPositionArea(\r\n          this.selectedPrintPosition.id,\r\n          true\r\n        );\r\n\r\n        const pixelValueOnProduct = mm2px(\r\n          this.minMillimeterValue,\r\n          this.selectedPrintPosition.originalImageWebDpi\r\n        );\r\n\r\n        const minLowerTicksSpace =\r\n          pixelValueOnProduct * scaledArea!.scaleFactor * this.zoomLevel;\r\n\r\n        if (minLowerTicksSpace < 5) {\r\n          this.minMillimeterValue = 5;\r\n\r\n          return (\r\n            mm2px(\r\n              this.minMillimeterValue,\r\n              this.selectedPrintPosition.originalImageWebDpi\r\n            ) *\r\n            scaledArea!.scaleFactor *\r\n            this.zoomLevel\r\n          );\r\n        }\r\n        if (minLowerTicksSpace > 25) {\r\n          this.minMillimeterValue = 1;\r\n          return (\r\n            mm2px(\r\n              this.minMillimeterValue,\r\n              this.selectedPrintPosition.originalImageWebDpi\r\n            ) *\r\n            scaledArea!.scaleFactor *\r\n            this.zoomLevel\r\n          );\r\n        }\r\n        return minLowerTicksSpace;\r\n      }\r\n      return 0;\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./Ruler.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./Ruler.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./Ruler.vue?vue&type=template&id=e8833e94&scoped=true\"\nimport script from \"./Ruler.vue?vue&type=script&lang=ts\"\nexport * from \"./Ruler.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./Ruler.vue?vue&type=style&index=0&id=e8833e94&prod&lang=scss&scoped=true\")\nif (style0.__inject__) style0.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  \"e8833e94\",\n  null\n  ,true\n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('div',{staticClass:\"empty-print-position\",style:({\n    '--top': _vm.topDistance + 'px',\n    '--left': _vm.leftDistance + 'px',\n    '--width': _vm.width + 'px',\n    '--height': _vm.height + 'px',\n  })},[_c('div',{staticClass:\"empty-print-position--description\"},[_c('draw-16',{staticClass:\"empty-print-position--draw\"}),_c('div',{staticClass:\"empty-print-position--desc-text\"},[_vm._v(\" \"+_vm._s(_vm.$t('wizard-v2.initial-state.description'))+\" \")])],1),_c('custom-add-button',{staticClass:\"empty-print-position--logo\",style:({ '--btnTop': _vm.btnTop + 'px' }),attrs:{\"color\":\"#24A148\",\"text\":_vm.$t('wizard-v2.initial-state.add-logo'),\"btn-width\":_vm.btnWidth,\"btn-height\":_vm.btnHeight,\"icon\":_vm.Image16},on:{\"action:click\":function($event){return _vm.$emit('action:add-logo')}}}),_c('custom-add-button',{staticClass:\"empty-print-position--text\",style:({ '--btnTop': _vm.btnTop + 'px' }),attrs:{\"color\":\"#161616\",\"text\":_vm.$t('wizard-v2.initial-state.add-text'),\"btn-width\":_vm.btnWidth,\"btn-height\":_vm.btnHeight,\"icon\":_vm.TextCreation16},on:{\"action:click\":function($event){return _vm.$emit('action:add-text')}}})],1)\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","var render = function render(){var _vm=this,_c=_vm._self._c;return _c('button',{staticClass:\"custom-add-button\",style:({\n    '--btn-width': _vm.btnWidth + 'px',\n    '--btn-height': _vm.btnHeight + 'px',\n  }),on:{\"click\":function($event){return _vm.$emit('action:click')}}},[_c(_vm.icon,{tag:\"component\",staticClass:\"custom-add-button--icon\",style:({ '--color': _vm.color })}),_c('span',{staticClass:\"custom-add-button--text\",style:({ '--color': _vm.color })},[_vm._v(_vm._s(_vm.text))])],1)\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","<template>\r\n  <button\r\n    :style=\"{\r\n      '--btn-width': btnWidth + 'px',\r\n      '--btn-height': btnHeight + 'px',\r\n    }\"\r\n    class=\"custom-add-button\"\r\n    @click=\"$emit('action:click')\"\r\n  >\r\n    <component\r\n      :is=\"icon\"\r\n      :style=\"{ '--color': color }\"\r\n      class=\"custom-add-button--icon\"\r\n    />\r\n    <span :style=\"{ '--color': color }\" class=\"custom-add-button--text\">{{\r\n      text\r\n    }}</span>\r\n  </button>\r\n</template>\r\n<script>\r\nimport { CvIconButton } from '@carbon/vue';\r\n\r\nexport default {\r\n  components: {\r\n    CvIconButton,\r\n  },\r\n  props: {\r\n    text: {\r\n      type: String,\r\n      required: false,\r\n      default: '',\r\n    },\r\n    color: {\r\n      type: String,\r\n      required: false,\r\n      default: '#161616',\r\n    },\r\n    btnWidth: {\r\n      type: Number,\r\n      required: false,\r\n      default: 50,\r\n    },\r\n    btnHeight: {\r\n      type: Number,\r\n      required: false,\r\n      default: 50,\r\n    },\r\n    icon: {\r\n      type: Object,\r\n      required: true,\r\n    },\r\n  },\r\n};\r\n</script>\r\n<style lang=\"scss\" scoped>\r\n.custom-add-button {\r\n  width: var(--btn-width);\r\n  height: var(--btn-height);\r\n  background-color: white;\r\n  border: 1px solid #e0e0e0;\r\n  border-radius: 5px;\r\n  display: grid;\r\n  justify-content: center;\r\n  justify-items: center;\r\n  align-content: space-evenly;\r\n\r\n  &--icon {\r\n    width: 35px;\r\n    height: 35px;\r\n    color: var(--color);\r\n  }\r\n\r\n  &--text {\r\n    color: var(--color);\r\n  }\r\n}\r\n\r\n.custom-add-button:hover {\r\n  cursor: pointer;\r\n}\r\n</style>\r\n","import mod from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--13-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./CustomAddButton.vue?vue&type=script&lang=js\"; export default mod; export * from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--13-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./CustomAddButton.vue?vue&type=script&lang=js\"","import { render, staticRenderFns } from \"./CustomAddButton.vue?vue&type=template&id=f91eb79e&scoped=true\"\nimport script from \"./CustomAddButton.vue?vue&type=script&lang=js\"\nexport * from \"./CustomAddButton.vue?vue&type=script&lang=js\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./CustomAddButton.vue?vue&type=style&index=0&id=f91eb79e&prod&lang=scss&scoped=true\")\nif (style0.__inject__) style0.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  \"f91eb79e\",\n  null\n  ,true\n)\n\nexport default component.exports","/**\n * Copyright IBM Corp. 2019, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nimport { c as createSVGComponent } from '../utils-9450cd75.js';\nimport '@carbon/icon-helpers';\nimport 'vue';\n\nconst Draw16 = createSVGComponent('Draw16', {\n  \"xmlns\": \"http://www.w3.org/2000/svg\",\n  \"viewBox\": \"0 0 32 32\",\n  \"fill\": \"currentColor\",\n  \"width\": 16,\n  \"height\": 16\n}, [{\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M19.14,28a3.42,3.42,0,0,1-2.42-5.85L21.86,17a1.42,1.42,0,1,0-2-2L13,21.85a3.5,3.5,0,0,1-4.85,0,3.43,3.43,0,0,1,0-4.84l8.58-8.58a1.42,1.42,0,1,0-2-2L6.41,14.7,5,13.3,13.29,5a3.43,3.43,0,0,1,4.84,4.85L9.56,18.42a1.42,1.42,0,0,0,0,2,1.45,1.45,0,0,0,2,0l6.86-6.86a3.43,3.43,0,1,1,4.85,4.84l-5.15,5.15a1.42,1.42,0,0,0,2,2l4.44-4.43L26,22.56,21.56,27A3.38,3.38,0,0,1,19.14,28Z\"\n  }\n}]);\n\nexport { Draw16 as default };\n","\r\nimport Vue, { PropType } from 'vue';\r\nimport CustomAddButton from './CustomAddButton.vue';\r\nimport Draw16 from '@carbon/icons-vue/es/draw/16';\r\nimport Image16 from '@carbon/icons-vue/es/image/16';\r\nimport TextCreation16 from '@carbon/icons-vue/es/text--creation/16';\r\n\r\nexport default Vue.extend({\r\n  name: 'EmptyPrintPosition',\r\n  components: {\r\n    CustomAddButton,\r\n    Draw16,\r\n  },\r\n  props: {\r\n    canvasSelection: {\r\n      type: Object as PropType<{\r\n        x: number;\r\n        y: number;\r\n        width: number;\r\n        height: number;\r\n      }>,\r\n      required: true,\r\n    },\r\n  },\r\n  data() {\r\n    const MAX_WIDTH = 437;\r\n    const MAX_HEIGHT = 250;\r\n    const width =\r\n      this.canvasSelection.width * 0.9 > MAX_WIDTH\r\n        ? MAX_WIDTH\r\n        : this.canvasSelection.width * 0.9;\r\n    const height =\r\n      this.canvasSelection.height * 0.5 > MAX_HEIGHT\r\n        ? MAX_HEIGHT\r\n        : this.canvasSelection.height * 0.5;\r\n    // const topDistance =\r\n    //   this.canvasSelection.y + this.canvasSelection.height / 2 - height / 2;\r\n    const minTopDistance =\r\n      this.canvasSelection.y + this.canvasSelection.height / 2 - height / 2;\r\n\r\n    const minLeftDistance =\r\n      this.canvasSelection.x + this.canvasSelection.width / 2 - width / 2;\r\n\r\n    // const btnWidth = width / 2 - 7;\r\n    const btnHeight = height / 2;\r\n    const btnTop = height / 2 - btnHeight / 2;\r\n    const correctionFactor = 35;\r\n    return {\r\n      MAX_WIDTH,\r\n      MAX_HEIGHT,\r\n      Image16,\r\n      TextCreation16,\r\n      // width,\r\n      height,\r\n      // topDistance,\r\n      minLeftDistance,\r\n      // btnWidth,\r\n      // btnHeight,\r\n      btnTop,\r\n      correctionFactor,\r\n      minTopDistance,\r\n    };\r\n  },\r\n  computed: {\r\n    topDistance(): number {\r\n      const distance = this.canvasSelection.y - this.correctionFactor + 5;\r\n      return distance < this.minTopDistance ? this.minTopDistance : distance;\r\n    },\r\n    leftDistance(): number {\r\n      const width =\r\n        this.canvasSelection.width * 0.9 > this.MAX_WIDTH\r\n          ? this.MAX_WIDTH\r\n          : this.canvasSelection.width * 0.9;\r\n      return (\r\n        this.canvasSelection.x + this.canvasSelection.width / 2 - width / 2\r\n      );\r\n    },\r\n\r\n    width(): number {\r\n      return this.canvasSelection.width * 0.9 > this.MAX_WIDTH\r\n        ? this.MAX_WIDTH\r\n        : this.canvasSelection.width * 0.9;\r\n    },\r\n\r\n    btnWidth(): number {\r\n      return (\r\n        (this.canvasSelection.width * 0.9 > this.MAX_WIDTH\r\n          ? this.MAX_WIDTH\r\n          : this.canvasSelection.width * 0.9) /\r\n          2 -\r\n        7\r\n      );\r\n    },\r\n\r\n    btnHeight(): number {\r\n      return (\r\n        (this.canvasSelection.height * 0.5 > this.MAX_HEIGHT\r\n          ? this.MAX_HEIGHT\r\n          : this.canvasSelection.height * 0.5) / 2\r\n      );\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./EmptyPrintPosition.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../../node_modules/babel-loader/lib/index.js!../../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./EmptyPrintPosition.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./EmptyPrintPosition.vue?vue&type=template&id=1a10fa85&scoped=true\"\nimport script from \"./EmptyPrintPosition.vue?vue&type=script&lang=ts\"\nexport * from \"./EmptyPrintPosition.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./EmptyPrintPosition.vue?vue&type=style&index=0&id=1a10fa85&prod&lang=scss&scoped=true\")\nif (style0.__inject__) style0.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  \"1a10fa85\",\n  null\n  ,true\n)\n\nexport default component.exports","import i18n from '@/i18n';\r\nimport { TourStep } from '@/web-components/import-wizard-v2/typings/common';\r\n\r\nexport function tourStepsMapper(): TourStep[] {\r\n  return [\r\n    {\r\n      target: '.ruler',\r\n      header: {\r\n        title: i18n.t('wizard-v2.tour.steps.step1-title').toString(),\r\n      },\r\n      content: i18n.t('wizard-v2.tour.steps.step1-description').toString(),\r\n      offset: 200,\r\n      params: {\r\n        placement: 'left',\r\n        index: 1,\r\n        totalSteps: 6,\r\n      },\r\n    },\r\n    {\r\n      target: '#step2',\r\n      header: {\r\n        title: i18n.t('wizard-v2.tour.steps.step2-title').toString(),\r\n      },\r\n      content: i18n.t('wizard-v2.tour.steps.step2-description').toString(),\r\n      offset: -200,\r\n      params: {\r\n        placement: 'right',\r\n        index: 2,\r\n        totalSteps: 6,\r\n      },\r\n    },\r\n    {\r\n      target: '#step3',\r\n      header: {\r\n        title: i18n.t('wizard-v2.tour.steps.step3-title').toString(),\r\n      },\r\n      content: i18n.t('wizard-v2.tour.steps.step3-description').toString(),\r\n      offset: -200,\r\n      params: {\r\n        placement: 'left',\r\n        index: 3,\r\n        totalSteps: 6,\r\n      },\r\n    },\r\n    {\r\n      target: '#step4',\r\n      header: {\r\n        title: i18n.t('wizard-v2.tour.steps.step4-title').toString(),\r\n      },\r\n      content: i18n.t('wizard-v2.tour.steps.step4-description').toString(),\r\n      params: {\r\n        placement: 'left',\r\n        index: 4,\r\n        totalSteps: 6,\r\n      },\r\n    },\r\n    {\r\n      target: '#step5',\r\n      header: {\r\n        title: i18n.t('wizard-v2.tour.steps.step5-title').toString(),\r\n      },\r\n      content: i18n.t('wizard-v2.tour.steps.step5-description').toString(),\r\n      params: {\r\n        placement: 'top',\r\n        index: 5,\r\n        totalSteps: 6,\r\n      },\r\n    },\r\n    {\r\n      target: '#step6',\r\n      header: {\r\n        title: i18n.t('wizard-v2.tour.steps.step6-title').toString(),\r\n      },\r\n      content: i18n.t('wizard-v2.tour.steps.step6-description').toString(),\r\n      params: {\r\n        placement: 'left',\r\n        index: 6,\r\n        totalSteps: 6,\r\n      },\r\n    },\r\n  ];\r\n}\r\n","\r\nimport Vue, { PropType, computed, ComputedRef } from 'vue';\r\nimport { w2pPintura } from './components/W2PPintura';\r\nimport { ActionsToolbar } from './components/ActionsToolbar';\r\nimport { WizardHeader } from './components/Header';\r\nimport {\r\n  TextPanelOptions,\r\n  ImagePanelOptions,\r\n  HomePanel,\r\n  LanyardPanelOptions,\r\n} from './components/Panels';\r\nimport { OrderDetails } from './components/OrderDetails';\r\nimport { PositionsManagement } from './components/PositionsManagement';\r\nimport { PreviewSection } from './components/PreviewSection';\r\nimport PreviewPdf from './components/PreviewSection/components/PreviewPdf.vue';\r\n\r\nimport {\r\n  PANELS_WIDTH,\r\n  ICONS_TOOLBAR_WIDTH,\r\n  POSITIONS_MANAGER_WIDTH,\r\n  HEADER_HEIGHT,\r\n  PINTURA_MAX_MARGIN_LEFT,\r\n  PINTURA_MAX_MARGIN_RIGHT,\r\n  ORDER_DETAILS_WIDTH,\r\n  ORDER_DETAILS_HEIGHT,\r\n  PANELS_HEIGHT_PADDING,\r\n  RIGHT_SECTIONS_HEIGHT_PADDING,\r\n  HOME_PANEL,\r\n  TEXT_PANEL,\r\n  IMAGE_PANEL,\r\n  LANYARDS_PANEL,\r\n} from './constants';\r\nimport { ProductPrintPositionAddModel } from '@/typings';\r\nimport {\r\n  PdpChoicesSetterType,\r\n  PriceDetailsSetterTypeV2,\r\n} from '@/setters/typings';\r\nimport { LogoOnlyArtwork, WizardTourStep } from '../import-wizard/typings';\r\nimport { SupportedLangCodes } from '@/constants/languageCodes';\r\nimport isValidLanguageValidator from '@/validators/langLocaleValidator';\r\nimport { pdpChoices } from '@/setters';\r\nimport { useStore as useShapeStore } from '@/stores/v2/shape';\r\nimport {\r\n  mapPositionsFromPdp,\r\n  mapProductPrintPositions,\r\n  mapSelectedVariant,\r\n} from '@/utils/productMapper';\r\nimport { useStore as useProductStore } from '@/stores/v2/product';\r\nimport { useStore as useNotificationStore } from '@/stores/v2/notification';\r\nimport { useStore as useMirrorStore } from '@/stores/v2/mirror';\r\nimport { useStore as useColorsManagementStore } from '@/stores/v2/colorsManagement';\r\nimport { useStore as useHistoryStore } from '@/stores/v2/history';\r\nimport { mapActions, mapState, mapStores } from 'pinia';\r\nimport { createStateSnapshot } from '@/utils/historyHelperV2';\r\nimport { AnnotationShape } from './typings/common';\r\nimport LogoLibrary from '../logo-library/TheApp.vue';\r\nimport { ArtworkPayload } from '../import-wizard/typings/pintura';\r\nimport { generateEventPayloadV2 } from '@/utils/generatePriceParamsEventPayload';\r\nimport CropEditor from '../import-wizard-v2/components/CropEditor/CropEditor.vue';\r\nimport { NotificationsManagement } from './components/NotificationsManagement';\r\nimport { Personalization } from '@midocean/webapps-shared-domain';\r\nimport { useStore as useLangStore } from '@/stores/v2/lang';\r\nimport { useStore as useGlobalStore } from '@/stores/v2/global';\r\nimport { CvLoading } from '@carbon/vue';\r\nimport ManualCheck from './components/SmallDetails/ManualCheck.vue';\r\nimport { DoSmallDetailsPart } from '@/constants/imageProcessingEngine';\r\nimport TourModal from './components/WizardTour/TourModal.vue';\r\nimport { base64StringToBlob } from 'blob-util';\r\nimport { Ruler } from './components/Ruler';\r\nimport { EmptyPrintPosition } from './components/EmptyPrintPosition';\r\n\r\nimport VueTour from '@/components/VueTour/main';\r\nimport { tourStepsMapper } from '@/utils/tourStepsMapper';\r\nimport customersAPI from '@/services/CustomersService';\r\n\r\nVue.use(VueTour);\r\n\r\nexport default Vue.extend({\r\n  components: {\r\n    WizardHeader,\r\n    ActionsToolbar,\r\n    PositionsManagement,\r\n    PreviewSection,\r\n    w2pPintura,\r\n    TextPanelOptions,\r\n    HomePanel,\r\n    ImagePanelOptions,\r\n    LanyardPanelOptions,\r\n    LogoLibrary,\r\n    CropEditor,\r\n    OrderDetails,\r\n    CvLoading,\r\n    PreviewPdf,\r\n    NotificationsManagement,\r\n    ManualCheck,\r\n    TourModal,\r\n    Ruler,\r\n    EmptyPrintPosition,\r\n  },\r\n  props: {\r\n    languageCode: {\r\n      type: String as PropType<SupportedLangCodes>,\r\n      required: false,\r\n      default: 'none',\r\n      validator: isValidLanguageValidator,\r\n    },\r\n    personalizationId: {\r\n      type: String,\r\n      required: false,\r\n      default() {\r\n        return '';\r\n      },\r\n    },\r\n    productDescription: {\r\n      type: String,\r\n      required: false,\r\n      default() {\r\n        return '';\r\n      },\r\n    },\r\n    priceDetails: {\r\n      type: Object as PropType<PriceDetailsSetterTypeV2>,\r\n      required: true,\r\n    },\r\n    pdpChoices,\r\n    sapCustomerId: {\r\n      type: String,\r\n      required: true,\r\n    },\r\n    tok: {\r\n      type: String,\r\n      required: true,\r\n    },\r\n    isDirectApproval: {\r\n      type: Boolean,\r\n      required: false,\r\n      default: false,\r\n    },\r\n    isFirstTimeOpened: {\r\n      type: Boolean,\r\n      required: false,\r\n      default: true,\r\n    },\r\n    isConceptDisabled: {\r\n      type: Boolean,\r\n      required: false,\r\n      default: false,\r\n    },\r\n    isOrderDisabled: {\r\n      type: Boolean,\r\n      required: false,\r\n      default: false,\r\n    },\r\n    printPositions: {\r\n      type: [] as PropType<ProductPrintPositionAddModel[]>,\r\n      required: false,\r\n      default() {\r\n        return [];\r\n      },\r\n    },\r\n    customerCompanyLogoUrl: {\r\n      type: String,\r\n      required: false,\r\n      default: '',\r\n    },\r\n    logoOnlyArtwork: {\r\n      type: [] as PropType<LogoOnlyArtwork[]>,\r\n      required: false,\r\n      default: () => {\r\n        return [];\r\n      },\r\n    },\r\n    version: {\r\n      type: String,\r\n      required: false,\r\n      default: 'V2',\r\n    },\r\n  },\r\n  provide(): {\r\n    $pdpChoices: ComputedRef<PdpChoicesSetterType>;\r\n    $sapCustomerId: ComputedRef<string>;\r\n    $isEditMode: ComputedRef<boolean>;\r\n    $personalization: ComputedRef<Personalization>;\r\n    $isDirectApproval: ComputedRef<boolean>;\r\n    $isConceptDisabled: ComputedRef<boolean>;\r\n    $isOrderDisabled: ComputedRef<boolean>;\r\n    $customerCompanyLogoUrl: ComputedRef<string>;\r\n  } {\r\n    return {\r\n      $pdpChoices: computed(() => this.pdpChoices),\r\n      $sapCustomerId: computed(() => this.sapCustomerId),\r\n      $isEditMode: computed(() => this.isEditMode),\r\n      $personalization: computed(() => this.personalization),\r\n      $isDirectApproval: computed(() => this.isDirectApproval),\r\n      $isOrderDisabled: computed(() => this.isOrderDisabled),\r\n      $isConceptDisabled: computed(() => this.isConceptDisabled),\r\n      $customerCompanyLogoUrl: computed(() => this.customerCompanyLogoUrl),\r\n    };\r\n  },\r\n\r\n  data() {\r\n    return {\r\n      DoSmallDetailsPart,\r\n      rootElement: null as unknown as HTMLElement,\r\n      rootHeight: 0,\r\n      rootWidth: 0,\r\n      ICONS_TOOLBAR_WIDTH,\r\n      PANELS_WIDTH,\r\n      POSITIONS_MANAGER_WIDTH,\r\n      HEADER_HEIGHT,\r\n      RIGHT_SECTIONS_HEIGHT_PADDING,\r\n      PINTURA_MAX_MARGIN_LEFT,\r\n      PANELS_HEIGHT_PADDING,\r\n      PINTURA_MAX_MARGIN_RIGHT,\r\n      activePanel: HOME_PANEL,\r\n      isModalOpen: false,\r\n      initializeCropEditor: false,\r\n      pinturaPreviewImage: null as null | string,\r\n      isPinturaExplicitDisableFlag: false,\r\n      isConcept: false,\r\n      showPreview: false,\r\n      triggerSmallDetailsCheck: false,\r\n      lastSelectedPosition: '',\r\n      zoomLevel: 1,\r\n      canvasSelection: { x: 0, y: 0, width: 0, height: 0 },\r\n      initializeTextBox: false,\r\n      myOptions: {\r\n        labels: {\r\n          buttonSkip: this.$t('main.wizard-tour-skip'),\r\n          buttonPrevious: this.$t('section.actions.back'),\r\n          buttonNext: this.$t('main.wizard-tour-next'),\r\n          buttonStop: this.$t('wizard-v2.tour.modal.start-personalisation'),\r\n        },\r\n      },\r\n      steps: [] as WizardTourStep[],\r\n    };\r\n  },\r\n  computed: {\r\n    ...mapState(useGlobalStore, ['isLoaderActive']),\r\n    ...mapState(useShapeStore, [\r\n      'personalization',\r\n      'activeShapeId',\r\n      'shapes',\r\n      'positionShapes',\r\n    ]),\r\n    ...mapState(useLangStore, ['languageInUse']),\r\n    ...mapStores(\r\n      useProductStore,\r\n      useShapeStore,\r\n      useColorsManagementStore,\r\n      useMirrorStore,\r\n      useHistoryStore,\r\n      useNotificationStore,\r\n      useMirrorStore\r\n    ),\r\n    ...mapState(useColorsManagementStore, ['availablePmsColors']),\r\n    ...mapState(useProductStore, [\r\n      'activePosition',\r\n      'area',\r\n      'rotation',\r\n      'unavailablePrintPositions',\r\n      'selectedPrintPosition',\r\n      'selectedVariant',\r\n      'positionsSetFromProps',\r\n      'data',\r\n      'isProductPrintable',\r\n      'editedPositions',\r\n      'isLaserConverter',\r\n      'isDebossingTechnique',\r\n      'isSmallDetailsTechnique',\r\n      'previousManagedPrintPositionId',\r\n    ]),\r\n\r\n    isEditMode(): boolean {\r\n      return this.personalizationId !== '';\r\n    },\r\n\r\n    isPositionEmpty(): boolean {\r\n      if (this.selectedPrintPosition && this.selectedPrintPosition.id) {\r\n        return this.positionShapes(this.selectedPrintPosition.id).length === 0;\r\n      }\r\n\r\n      return true;\r\n    },\r\n\r\n    orderDetailsLeft() {\r\n      let orderDetailsLeft = 0;\r\n\r\n      const pinturaContainerWidth =\r\n        this.rootWidth -\r\n        ICONS_TOOLBAR_WIDTH -\r\n        PANELS_WIDTH -\r\n        POSITIONS_MANAGER_WIDTH -\r\n        25;\r\n\r\n      if (pinturaContainerWidth > ORDER_DETAILS_WIDTH) {\r\n        orderDetailsLeft =\r\n          (pinturaContainerWidth - ORDER_DETAILS_WIDTH) / 2 +\r\n          ICONS_TOOLBAR_WIDTH +\r\n          PANELS_WIDTH;\r\n      } else {\r\n        orderDetailsLeft = ICONS_TOOLBAR_WIDTH + PANELS_WIDTH;\r\n      }\r\n\r\n      return `${orderDetailsLeft}px`;\r\n    },\r\n\r\n    modalHandlers() {\r\n      return {\r\n        beforeClose: () => {\r\n          this.isModalOpen = false;\r\n        },\r\n      };\r\n    },\r\n\r\n    pinturaContainer(): {\r\n      width: number;\r\n      height: number;\r\n    } {\r\n      const containerWidth =\r\n        this.rootWidth -\r\n        ICONS_TOOLBAR_WIDTH -\r\n        PANELS_WIDTH -\r\n        POSITIONS_MANAGER_WIDTH;\r\n\r\n      const containerHeight =\r\n        this.rootHeight -\r\n        HEADER_HEIGHT -\r\n        ORDER_DETAILS_HEIGHT -\r\n        RIGHT_SECTIONS_HEIGHT_PADDING;\r\n\r\n      return {\r\n        width: containerWidth,\r\n        height: containerHeight,\r\n      };\r\n    },\r\n\r\n    activePanelLabel(): string {\r\n      if (this.activePanel === IMAGE_PANEL) {\r\n        return this.$t('wizard-v2.common.image').toString();\r\n      } else if (this.activePanel === TEXT_PANEL) {\r\n        return this.$t('wizard-v2.common.text').toString();\r\n      } else if (this.activePanel === LANYARDS_PANEL) {\r\n        return this.$t('wizard-v2.common.lanyard-options').toString();\r\n      }\r\n      return this.$t('wizard-v2.common.working-area').toString();\r\n    },\r\n\r\n    productName(): string {\r\n      return this.data && this.data.name;\r\n    },\r\n  },\r\n\r\n  watch: {\r\n    async pdpChoices() {\r\n      // TO DO : Cover redirect from Logo Only to wizard flow\r\n      await this.initializeStateForRegularMode();\r\n\r\n      this.initializeMirrorPositions();\r\n\r\n      await this.getAvailablePmsColors();\r\n    },\r\n    selectedPrintPosition() {\r\n      if (\r\n        this.selectedPrintPosition.id &&\r\n        this.lastSelectedPosition !== this.selectedPrintPosition.id\r\n      ) {\r\n        this.deselectShape();\r\n        this.activePanel = HOME_PANEL;\r\n        this.lastSelectedPosition = this.selectedPrintPosition.id;\r\n      }\r\n    },\r\n    async languageInUse() {\r\n      await this.setDefaultTranslations();\r\n\r\n      if (process.env.VUE_APP_USE_LOCAL_TRANSLATIONS === 'false') {\r\n        var translationsJson = await customersAPI.getTranslations(\r\n          this.languageInUse\r\n        );\r\n        this.$i18n.setLocaleMessage(this.languageInUse, translationsJson.data);\r\n      }\r\n\r\n      this.$i18n.locale = this.languageInUse;\r\n\r\n      this.initializeWizardTourSteps();\r\n    },\r\n  },\r\n\r\n  async mounted() {\r\n    this.$nextTick(() => {\r\n      const subtarget = document.querySelector('w2p-import-wizard-wrapper');\r\n\r\n      const element =\r\n        subtarget && subtarget.shadowRoot\r\n          ? subtarget.shadowRoot.querySelector('.import-wizard-v2')\r\n          : document.body.querySelector('.import-wizard-v2');\r\n\r\n      if (element) {\r\n        this.rootElement = element as HTMLElement;\r\n        this.rootHeight = (element as HTMLElement).offsetHeight;\r\n        this.rootWidth = (element as HTMLElement).offsetWidth;\r\n      }\r\n\r\n      window.addEventListener('resize', this.onResize);\r\n    });\r\n\r\n    if (this.personalizationId !== '') {\r\n      await this.initializeStateForEditMode();\r\n    } else {\r\n      await this.initializeStateForRegularMode();\r\n    }\r\n\r\n    this.initializeMirrorPositions();\r\n\r\n    await this.getAvailablePmsColors();\r\n\r\n    const snapshot = createStateSnapshot();\r\n    this.recordHistory(snapshot);\r\n  },\r\n\r\n  beforeDestroy() {\r\n    window.removeEventListener('resize', this.onResize);\r\n  },\r\n\r\n  methods: {\r\n    ...mapActions(useShapeStore, [\r\n      'getPersonalization',\r\n      'initializeStateFromPersonalization',\r\n      'addTextPayload',\r\n      'deselectShape',\r\n      'selectShape',\r\n      'addArtworkPayload',\r\n      'setSmallDetailsCheckToDefault',\r\n    ]),\r\n    ...mapActions(useProductStore, [\r\n      'getProduct',\r\n      'setUnavailablePrintPositions',\r\n      'setSelectedVariant',\r\n      'setSelectedVariants',\r\n      'setSelectedPrintPosition',\r\n    ]),\r\n    ...mapActions(useMirrorStore, [\r\n      'initializeMirrorSettingsFromProof',\r\n      'initializeMirrorSetting',\r\n      'initializeMirrorPositions',\r\n    ]),\r\n    ...mapActions(useColorsManagementStore, ['getAvailablePmsColors']),\r\n    ...mapActions(useHistoryStore, ['recordHistory']),\r\n    ...mapActions(useNotificationStore, ['runValidators']),\r\n    ...mapActions(useGlobalStore, [\r\n      'setIsProcessingOrder',\r\n      'setIsLoaderActive',\r\n    ]),\r\n    ...mapActions(useLangStore, ['setDefaultTranslations']),\r\n\r\n    initializeWizardTourSteps() {\r\n      this.myOptions = {\r\n        labels: {\r\n          buttonSkip: this.$t('main.wizard-tour-skip'),\r\n          buttonPrevious: this.$t('section.actions.back'),\r\n          buttonNext: this.$t('main.wizard-tour-next'),\r\n          buttonStop: this.$t('wizard-v2.tour.modal.start-personalisation'),\r\n        },\r\n      };\r\n\r\n      this.steps = tourStepsMapper();\r\n    },\r\n\r\n    openHelpModal() {\r\n      this.$modal.show('tour-modal');\r\n    },\r\n\r\n    onAddLogoAction() {\r\n      this.openLogoLibraryModal();\r\n      this.activePanel = IMAGE_PANEL;\r\n    },\r\n\r\n    onAddTextAction() {\r\n      this.activePanel = TEXT_PANEL;\r\n      this.initializeTextBox = true;\r\n    },\r\n\r\n    isManualCheckVisible(): boolean {\r\n      const usedTechniques = this.unavailablePrintPositions.map((x) => {\r\n        return this.data.productPrintPositions\r\n          .find((p) => p.name === x.positionName)\r\n          ?.printTechniques.find(\r\n            (t) => t.printTechnique.code === x.technique.printTechniqueSAPCode\r\n          );\r\n      });\r\n      return usedTechniques.some((x) => x?.printTechnique.limitation !== null);\r\n    },\r\n\r\n    resetFlag() {\r\n      this.triggerSmallDetailsCheck = false;\r\n      this.$emit('action:trigger-small-details');\r\n    },\r\n\r\n    onResize() {\r\n      this.$nextTick(() => {\r\n        if (\r\n          this.rootHeight > this.rootElement.offsetHeight &&\r\n          this.rootHeight > this.rootElement.scrollHeight\r\n        ) {\r\n          this.rootHeight = this.rootElement.offsetHeight;\r\n        } else {\r\n          this.rootHeight =\r\n            this.rootElement.scrollHeight > this.rootElement.offsetHeight\r\n              ? this.rootElement.scrollHeight\r\n              : this.rootElement.offsetHeight;\r\n        }\r\n\r\n        this.rootWidth = this.rootElement.offsetWidth;\r\n      });\r\n    },\r\n\r\n    changeActivePanel(panel: string) {\r\n      this.deselectShape();\r\n      this.activePanel = panel;\r\n      this.initializeTextBox = false;\r\n    },\r\n\r\n    async initializeStateForRegularMode() {\r\n      console.log(\r\n        'initializeStateForRegularMode - pdpChoices',\r\n        this.pdpChoices\r\n      );\r\n      if (this.pdpChoices.masterProductSKU !== '') {\r\n        await this.getProduct(this.pdpChoices.masterProductSKU);\r\n\r\n        const mappedPositions = mapPositionsFromPdp(this.pdpChoices);\r\n        this.setUnavailablePrintPositions(mappedPositions);\r\n\r\n        if (mappedPositions && mappedPositions.length > 0) {\r\n          this.setSelectedPrintPosition(mappedPositions[0].positionId);\r\n        }\r\n\r\n        this.setSelectedVariants(this.pdpChoices.productVariants);\r\n\r\n        const variant = mapSelectedVariant(\r\n          this.pdpChoices.productVariants[0].variantColor\r\n        );\r\n        if (variant) this.setSelectedVariant(variant);\r\n\r\n        if (this.logoOnlyArtwork.length > 0) {\r\n          for (\r\n            let i = 0;\r\n            i < this.pdpChoices.productPrintPositions.length;\r\n            i++\r\n          ) {\r\n            const position = this.pdpChoices.productPrintPositions[i];\r\n            const currentPosition = this.productStore.printPositions.find(\r\n              (pos) => pos.name === position.printPositionSAPCode\r\n            );\r\n\r\n            const currentTechnique = currentPosition?.printTechniques.find(\r\n              (tech) =>\r\n                tech.printTechnique.code === position.printTechniqueSAPCode\r\n            );\r\n\r\n            const blob = base64StringToBlob(\r\n              this.logoOnlyArtwork[i].pngFile,\r\n              'image/png'\r\n            );\r\n            if (currentPosition && currentTechnique) {\r\n              await this.addArtworkPayload(\r\n                {\r\n                  ...this.logoOnlyArtwork[i],\r\n                  pngFile: blob,\r\n                  pngFileWithoutConverters: blob,\r\n                  processed: '',\r\n                  customerId: '',\r\n                  thumbnailUrl: '',\r\n                  variantArtworkImages: [],\r\n                } as ArtworkPayload,\r\n                this.productStore.selectedPrintPosition.id\r\n              );\r\n\r\n              const limitation = currentTechnique.printTechnique.limitation;\r\n              if (limitation) {\r\n                this.setSmallDetailsCheckToDefault(this.shapes[i].id);\r\n              }\r\n            }\r\n          }\r\n\r\n          const eventPayload = generateEventPayloadV2();\r\n\r\n          this.setActiveShapeId(this.logoOnlyArtwork[0].id);\r\n\r\n          this.$emit('wizard:price-params-changed', {\r\n            productPrintPositions: eventPayload,\r\n          });\r\n        }\r\n\r\n        this.initializeMirrorSetting();\r\n\r\n        if (mappedPositions.length > 0) {\r\n          this.runValidators();\r\n        }\r\n      }\r\n    },\r\n\r\n    async initializeStateForEditMode() {\r\n      await this.getPersonalization(this.personalizationId);\r\n\r\n      if (this.personalization) {\r\n        await this.getProduct(this.personalization.productSKU);\r\n\r\n        const mappedPositions = mapProductPrintPositions();\r\n\r\n        this.setUnavailablePrintPositions(mappedPositions);\r\n\r\n        if (mappedPositions) {\r\n          this.setSelectedPrintPosition(mappedPositions[0].positionId);\r\n        }\r\n\r\n        const variant = mapSelectedVariant(\r\n          this.personalization.productVariants[0].variantColor\r\n        );\r\n        if (variant) {\r\n          this.setSelectedVariant(variant);\r\n          this.setSelectedVariants(this.personalization.productVariants);\r\n        }\r\n\r\n        await this.initializeStateFromPersonalization();\r\n        this.initializeMirrorSettingsFromProof(this.personalization.proofs[0]);\r\n\r\n        this.runValidators();\r\n      }\r\n    },\r\n    async addToImageDecoration(shape: AnnotationShape) {\r\n      if (shape.kind === 'Text') {\r\n        await this.addTextPayload({ ...shape, kind: 'Text' });\r\n\r\n        if (shape.w2pText.text !== '') {\r\n          const snapshot = createStateSnapshot();\r\n          this.recordHistory(snapshot);\r\n        }\r\n      }\r\n    },\r\n    openLogoLibraryModal() {\r\n      /**\r\n       * Disable pintura while the logo library modal is open\r\n       */\r\n      this.isModalOpen = true;\r\n\r\n      /**\r\n       * Open logo library modal\r\n       */\r\n      this.$modal.show('logo-library-modal', { foo: 'bar' });\r\n    },\r\n    openCropEditor() {\r\n      this.initializeCropEditor = true;\r\n    },\r\n    setActiveShapeId(id: string) {\r\n      this.selectShape(id);\r\n    },\r\n    async onImportArtwork(payload: ArtworkPayload) {\r\n      this.setIsLoaderActive(true);\r\n      await this.addArtworkPayload(\r\n        payload,\r\n        this.productStore.selectedPrintPosition.id\r\n      );\r\n      this.setActiveShapeId(payload.id);\r\n\r\n      if (\r\n        this.mirrorStore.currentMirrorSettings &&\r\n        this.mirrorStore.currentMirrorSettings.isMirrorApplied\r\n      ) {\r\n        this.mirrorStore.addMirrorShape(\r\n          this.shapeStore.shapeById(\r\n            this.shapeStore.activeShapeId\r\n          ) as AnnotationShape\r\n        );\r\n      }\r\n      this.setIsLoaderActive(false);\r\n\r\n      const eventPayload = generateEventPayloadV2();\r\n      this.$emit('wizard:price-params-changed', {\r\n        productPrintPositions: eventPayload,\r\n      });\r\n\r\n      this.runValidators();\r\n      const snapshot = createStateSnapshot();\r\n      this.recordHistory(snapshot);\r\n\r\n      this.$modal.hide('logo-library-modal');\r\n    },\r\n    beforeSelectShape(target: AnnotationShape) {\r\n      if (target.kind === 'Text') {\r\n        this.activePanel = TEXT_PANEL;\r\n      } else if (target.kind === 'Logo') {\r\n        this.activePanel = IMAGE_PANEL;\r\n      }\r\n      this.selectShape(target.id);\r\n    },\r\n    startTour() {\r\n      this.$modal.hide('tour-modal');\r\n      var importWizard = document.querySelector('w2p-import-wizard-wrapper');\r\n      var importWizardOld = document.querySelector('.import-wizard-v2');\r\n      if (importWizard?.shadowRoot) {\r\n        var tourElement = importWizard?.shadowRoot.querySelector('#wizardTour');\r\n        if (tourElement) {\r\n          (tourElement as any).__vue__.$tours['wizardTour'].start();\r\n        }\r\n      } else if (importWizardOld?.shadowRoot) {\r\n        var tourElementOld =\r\n          importWizardOld?.shadowRoot.querySelector('#wizardTour');\r\n        if (tourElementOld) {\r\n          (tourElementOld as any).__vue__.$tours['wizardTour'].start();\r\n        }\r\n      } else {\r\n        (this as any).$tours['wizardTour'].start();\r\n      }\r\n    },\r\n    triggerSmallDetails(isConcept: boolean) {\r\n      this.triggerSmallDetailsCheck = true;\r\n      this.isConcept = isConcept;\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/ts-loader/index.js??ref--15-2!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./TheApp.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/ts-loader/index.js??ref--15-2!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./TheApp.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./TheApp.vue?vue&type=template&id=2dbc7914\"\nimport script from \"./TheApp.vue?vue&type=script&lang=ts\"\nexport * from \"./TheApp.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./TheApp.vue?vue&type=style&index=0&id=2dbc7914&prod&lang=scss\")\nif (style0.__inject__) style0.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  null,\n  null\n  ,true\n)\n\nexport default component.exports","\r\nimport StyleProvider from './StyleProvider.vue';\r\nimport TheApp from './TheApp.vue';\r\nimport Vue, { PropType } from 'vue';\r\nimport PortalVue from 'portal-vue';\r\nimport { mapActions, mapState, PiniaVuePlugin } from 'pinia';\r\nimport { useStore as useLangStore } from '@/stores/v2/lang';\r\nimport { useStore as useAuthStore } from '@/stores/auth';\r\nimport i18n from '@/i18n';\r\nimport { pinia } from '@/pinia';\r\nimport { SupportedLangCodes } from '@/constants/languageCodes';\r\nimport { ProductPrintPositionAddModel } from '@/typings';\r\nimport { LogoOnlyArtwork } from '../import-wizard/typings';\r\nimport isValidLanguageValidator from '@/validators/langLocaleValidator';\r\nimport { priceDetails, pdpChoices } from '@/setters';\r\nimport VModal from 'vue-js-modal';\r\n\r\nVue.use(PiniaVuePlugin);\r\nVue.use(PortalVue, {\r\n  portalName: 'w2p-portal',\r\n  portalTargetName: 'w2p-portal-target',\r\n});\r\n\r\nVue.use(VModal, {\r\n  dynamic: true,\r\n  injectModalsContainer: true,\r\n});\r\n\r\nexport default Vue.extend({\r\n  name: 'W2pImportWizardV2',\r\n  components: {\r\n    StyleProvider,\r\n    TheApp,\r\n  },\r\n  props: {\r\n    languageCode: {\r\n      type: String as PropType<SupportedLangCodes>,\r\n      required: false,\r\n      default: 'none',\r\n      validator: isValidLanguageValidator,\r\n    },\r\n    personalizationId: {\r\n      type: String,\r\n      required: false,\r\n      default() {\r\n        return '';\r\n      },\r\n    },\r\n    productDescription: {\r\n      type: String,\r\n      required: false,\r\n      default() {\r\n        return '';\r\n      },\r\n    },\r\n    priceDetails,\r\n    pdpChoices,\r\n    sapCustomerId: {\r\n      type: String,\r\n      required: true,\r\n    },\r\n    tok: {\r\n      type: String,\r\n      required: true,\r\n    },\r\n    isDirectApproval: {\r\n      type: Boolean,\r\n      required: false,\r\n      default: false,\r\n    },\r\n    isFirstTimeOpened: {\r\n      type: Boolean,\r\n      required: false,\r\n      default: false,\r\n    },\r\n    isConceptDisabled: {\r\n      type: Boolean,\r\n      required: false,\r\n      default: false,\r\n    },\r\n    isOrderDisabled: {\r\n      type: Boolean,\r\n      required: false,\r\n      default: false,\r\n    },\r\n    printPositions: {\r\n      type: [] as PropType<ProductPrintPositionAddModel[]>,\r\n      required: false,\r\n      default() {\r\n        return [];\r\n      },\r\n    },\r\n    customerCompanyLogoUrl: {\r\n      type: String,\r\n      required: false,\r\n      default: '',\r\n    },\r\n    logoOnlyArtwork: {\r\n      type: [] as PropType<LogoOnlyArtwork[]>,\r\n      required: false,\r\n      default: () => {\r\n        return [];\r\n      },\r\n    },\r\n    version: {\r\n      type: String,\r\n      required: false,\r\n      default: 'V2',\r\n    },\r\n  },\r\n\r\n  computed: {\r\n    ...mapState(useLangStore, ['languageInUse']),\r\n    ...mapState(useAuthStore, ['isTokValid']),\r\n  },\r\n\r\n  watch: {\r\n    isTokValid(newValue) {\r\n      if (!newValue) {\r\n        this.$emit('token-invalid-or-expired');\r\n      }\r\n    },\r\n\r\n    async tok(newValue) {\r\n      if (newValue !== '') {\r\n        this.setTok(this.tok);\r\n        await this.setDefaultTranslations();\r\n      }\r\n    },\r\n  },\r\n\r\n  async mounted() {\r\n    this.setLanguageLocale(this.languageCode);\r\n    this.setSapCustomerId(this.sapCustomerId);\r\n    this.setTok(this.tok);\r\n    await this.setDefaultTranslations();\r\n  },\r\n\r\n  methods: {\r\n    ...mapActions(useLangStore, [\r\n      'setLanguageLocale',\r\n      'setDefaultTranslations',\r\n    ]),\r\n    ...mapActions(useAuthStore, ['setSapCustomerId', 'setTok']),\r\n  },\r\n  i18n,\r\n  pinia,\r\n});\r\n","import mod from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/ts-loader/index.js??ref--15-2!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./import-wizard-v2.vue?vue&type=script&lang=ts&shadow\"; export default mod; export * from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/ts-loader/index.js??ref--15-2!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./import-wizard-v2.vue?vue&type=script&lang=ts&shadow\"","import { render, staticRenderFns } from \"./import-wizard-v2.vue?vue&type=template&id=52001a4c&shadow\"\nimport script from \"./import-wizard-v2.vue?vue&type=script&lang=ts&shadow\"\nexport * from \"./import-wizard-v2.vue?vue&type=script&lang=ts&shadow\"\n\n\n/* normalize component */\nimport normalizer from \"!../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  null,\n  null,\n  null\n  ,true\n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('div',[(\n      _vm.version === 'V2' ||\n      ((_vm.version === '' || _vm.version === undefined) &&\n        _vm.wizardOptions &&\n        !_vm.wizardOptions.showCurrentVersion &&\n        _vm.wizardOptions.showNextVersion)\n    )?_c('import-wizard-v2',{attrs:{\"version\":_vm.version,\"language-code\":_vm.languageCode,\"personalization-id\":_vm.personalizationId,\"price-details\":_vm.priceDetails,\"pdp-choices\":_vm.pdpChoices,\"product-description\":_vm.productDescription,\"sap-customer-id\":_vm.sapCustomerId,\"tok\":_vm.tok,\"is-direct-approval\":_vm.isDirectApproval,\"is-first-time-opened\":_vm.isFirstTimeOpened,\"is-concept-disabled\":_vm.isConceptDisabled,\"is-order-disabled\":_vm.isOrderDisabled,\"print-positions\":_vm.printPositions,\"customer-company-logo-url\":_vm.customerCompanyLogoUrl,\"logo-only-artwork\":_vm.logoOnlyArtwork},on:{\"wizard:price-params-changed\":(event) => _vm.emitEvent('wizard:price-params-changed', event),\"wizard:back\":() => _vm.emitEvent('wizard:back'),\"wizard:ordered\":(payload) => _vm.emitEvent('wizard:ordered', payload),\"wizard:saved-as-concept\":(payload) => _vm.emitEvent('wizard:saved-as-concept', payload)}}):_vm._e(),(\n      _vm.version === 'V1' ||\n      ((_vm.version === '' || _vm.version === undefined) &&\n        _vm.wizardOptions &&\n        _vm.wizardOptions.showCurrentVersion &&\n        !_vm.wizardOptions.showNextVersion) ||\n      ((_vm.version === '' || _vm.version === undefined) &&\n        _vm.wizardOptions &&\n        !_vm.wizardOptions.showCurrentVersion &&\n        !_vm.wizardOptions.showNextVersion) ||\n      ((_vm.version === '' || _vm.version === undefined) &&\n        _vm.wizardOptions &&\n        _vm.wizardOptions.showCurrentVersion &&\n        _vm.wizardOptions.showNextVersion)\n    )?_c('import-wizard-v1',{attrs:{\"version\":_vm.version,\"language-code\":_vm.languageCode,\"personalization-id\":_vm.personalizationId,\"price-details\":_vm.priceDetails,\"pdp-choices\":_vm.pdpChoices,\"sap-customer-id\":_vm.sapCustomerId,\"tok\":_vm.tok,\"is-direct-approval\":_vm.isDirectApproval,\"is-first-time-opened\":_vm.isFirstTimeOpened,\"is-concept-disabled\":_vm.isConceptDisabled,\"is-order-disabled\":_vm.isOrderDisabled,\"print-positions\":_vm.printPositions,\"customer-company-logo-url\":_vm.customerCompanyLogoUrl,\"logo-only-artwork\":_vm.logoOnlyArtwork},on:{\"wizard:price-params-changed\":(event) => _vm.emitEvent('wizard:price-params-changed', event),\"wizard:back\":() => _vm.emitEvent('wizard:back')}}):_vm._e()],1)\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","\r\nimport StyleProvider from '@/StyleProvider.vue';\r\nimport TheApp from './TheApp.vue';\r\nimport Vue, { PropType } from 'vue';\r\n\r\nimport VModal from 'vue-js-modal';\r\nimport PortalVue from 'portal-vue';\r\n\r\nimport { mapActions, mapState, PiniaVuePlugin } from 'pinia';\r\nimport { useStore as useLangStore } from '@/stores/lang';\r\nimport { useStore as useAuthStore } from '@/stores/auth';\r\nimport i18n from '@/i18n';\r\nimport isValidLanguageValidator from '@/validators/langLocaleValidator';\r\nimport { priceDetails, pdpChoices } from '@/setters';\r\nimport { SupportedLangCodes } from '../../constants/languageCodes';\r\nimport { SystemMonitor } from '../../components/Notifiers';\r\n\r\nVue.use(PiniaVuePlugin);\r\nVue.use(VModal, {\r\n  dynamic: true,\r\n  injectModalsContainer: true,\r\n});\r\nVue.use(PortalVue, {\r\n  portalName: 'w2p-portal',\r\n  portalTargetName: 'w2p-portal-target',\r\n});\r\n\r\nimport { pinia } from '@/pinia';\r\nimport { ProductPrintPositionAddModel } from '@/typings';\r\nimport { LogoOnlyArtwork } from './typings';\r\nimport PreviewPdf from '../../components/SwitchColor/PreviewPdf.vue';\r\nimport WhatsNew from '../../components/WhatsNew/WhatsNew.vue';\r\n\r\nexport default Vue.extend({\r\n  name: 'WcExportApp',\r\n  components: {\r\n    StyleProvider,\r\n    TheApp,\r\n    SystemMonitor,\r\n    PreviewPdf,\r\n    WhatsNew,\r\n  },\r\n\r\n  data() {\r\n    return {\r\n      showPreview: false,\r\n      triggerSmallDetailsCheck: false,\r\n    };\r\n  },\r\n\r\n  props: {\r\n    languageCode: {\r\n      type: String as PropType<SupportedLangCodes>,\r\n      required: false,\r\n      default: 'none',\r\n      validator: isValidLanguageValidator,\r\n    },\r\n    personalizationId: {\r\n      type: String,\r\n      required: false,\r\n      default() {\r\n        return '';\r\n      },\r\n    },\r\n    priceDetails,\r\n    pdpChoices,\r\n    sapCustomerId: {\r\n      type: String,\r\n      required: true,\r\n    },\r\n    tok: {\r\n      type: String,\r\n      required: true,\r\n    },\r\n    isDirectApproval: {\r\n      type: Boolean,\r\n      required: false,\r\n      default: false,\r\n    },\r\n    isFirstTimeOpened: {\r\n      type: Boolean,\r\n      required: false,\r\n      default: false,\r\n    },\r\n    isConceptDisabled: {\r\n      type: Boolean,\r\n      required: false,\r\n      default: false,\r\n    },\r\n    isOrderDisabled: {\r\n      type: Boolean,\r\n      required: false,\r\n      default: false,\r\n    },\r\n    printPositions: {\r\n      type: [] as PropType<ProductPrintPositionAddModel[]>,\r\n      required: false,\r\n      default() {\r\n        return [];\r\n      },\r\n    },\r\n    customerCompanyLogoUrl: {\r\n      type: String,\r\n      required: false,\r\n      default: '',\r\n    },\r\n    logoOnlyArtwork: {\r\n      type: [] as PropType<LogoOnlyArtwork[]>,\r\n      required: false,\r\n      default: () => {\r\n        return [];\r\n      },\r\n    },\r\n    version: {\r\n      type: String,\r\n      required: false,\r\n      default: 'V1',\r\n    },\r\n  },\r\n\r\n  computed: {\r\n    ...mapState(useLangStore, ['languageInUse']),\r\n    ...mapState(useAuthStore, ['isTokValid']),\r\n  },\r\n  watch: {\r\n    isTokValid(newValue) {\r\n      if (!newValue) {\r\n        this.$emit('token-invalid-or-expired');\r\n      }\r\n    },\r\n\r\n    async tok(newValue) {\r\n      if (newValue !== '') {\r\n        this.setTok(this.tok);\r\n        await this.setDefaultTranslations();\r\n      }\r\n    },\r\n  },\r\n  async mounted() {\r\n    this.setLanguageLocale(this.languageCode);\r\n    this.setSapCustomerId(this.sapCustomerId);\r\n    this.setTok(this.tok);\r\n    await this.setDefaultTranslations();\r\n  },\r\n\r\n  methods: {\r\n    ...mapActions(useLangStore, [\r\n      'setLanguageLocale',\r\n      'setDefaultTranslations',\r\n    ]),\r\n    ...mapActions(useAuthStore, ['setSapCustomerId', 'setTok']),\r\n\r\n    showPdfPreview() {\r\n      this.showPreview = true;\r\n    },\r\n\r\n    // NOTE: Leave, need it for bug fixing\r\n    emitEvent(eventName: string, event: any) {\r\n      if (eventName === 'wizard:price-params-changed') {\r\n        this.$emit('wizard:price-params-changed', event);\r\n      }\r\n\r\n      if (eventName === 'wizard:back') {\r\n        this.$emit('wizard:back');\r\n      }\r\n    },\r\n    closePreview() {\r\n      this.showPreview = false;\r\n    },\r\n  },\r\n\r\n  i18n,\r\n  pinia,\r\n});\r\n","import mod from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/ts-loader/index.js??ref--15-2!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./import-wizard.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/ts-loader/index.js??ref--15-2!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./import-wizard.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./import-wizard.vue?vue&type=template&id=0ff72298\"\nimport script from \"./import-wizard.vue?vue&type=script&lang=ts\"\nexport * from \"./import-wizard.vue?vue&type=script&lang=ts\"\n\n\n/* normalize component */\nimport normalizer from \"!../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  null,\n  null,\n  null\n  ,true\n)\n\nexport default component.exports","\r\nimport StyleProvider from './StyleProvider.vue';\r\nimport TheApp from './TheApp.vue';\r\nimport Vue, { PropType } from 'vue';\r\nimport PortalVue from 'portal-vue';\r\nimport { mapActions, mapState, PiniaVuePlugin } from 'pinia';\r\nimport { useStore as useLangStore } from '@/stores/v2/lang';\r\nimport { useStore as useAuthStore } from '@/stores/auth';\r\nimport i18n from '@/i18n';\r\nimport { pinia } from '@/pinia';\r\nimport { SupportedLangCodes } from '@/constants/languageCodes';\r\nimport { ProductPrintPositionAddModel } from '@/typings';\r\nimport { LogoOnlyArtwork } from '../import-wizard/typings';\r\nimport isValidLanguageValidator from '@/validators/langLocaleValidator';\r\nimport { priceDetails, pdpChoices } from '@/setters';\r\nimport VModal from 'vue-js-modal';\r\n\r\nVue.use(PiniaVuePlugin);\r\nVue.use(PortalVue, {\r\n  portalName: 'w2p-portal',\r\n  portalTargetName: 'w2p-portal-target',\r\n});\r\n\r\nVue.use(VModal, {\r\n  dynamic: true,\r\n  injectModalsContainer: true,\r\n});\r\n\r\nexport default Vue.extend({\r\n  name: 'W2pImportWizardV2',\r\n  components: {\r\n    StyleProvider,\r\n    TheApp,\r\n  },\r\n  props: {\r\n    languageCode: {\r\n      type: String as PropType<SupportedLangCodes>,\r\n      required: false,\r\n      default: 'none',\r\n      validator: isValidLanguageValidator,\r\n    },\r\n    personalizationId: {\r\n      type: String,\r\n      required: false,\r\n      default() {\r\n        return '';\r\n      },\r\n    },\r\n    productDescription: {\r\n      type: String,\r\n      required: false,\r\n      default() {\r\n        return '';\r\n      },\r\n    },\r\n    priceDetails,\r\n    pdpChoices,\r\n    sapCustomerId: {\r\n      type: String,\r\n      required: true,\r\n    },\r\n    tok: {\r\n      type: String,\r\n      required: true,\r\n    },\r\n    isDirectApproval: {\r\n      type: Boolean,\r\n      required: false,\r\n      default: false,\r\n    },\r\n    isFirstTimeOpened: {\r\n      type: Boolean,\r\n      required: false,\r\n      default: false,\r\n    },\r\n    isConceptDisabled: {\r\n      type: Boolean,\r\n      required: false,\r\n      default: false,\r\n    },\r\n    isOrderDisabled: {\r\n      type: Boolean,\r\n      required: false,\r\n      default: false,\r\n    },\r\n    printPositions: {\r\n      type: [] as PropType<ProductPrintPositionAddModel[]>,\r\n      required: false,\r\n      default() {\r\n        return [];\r\n      },\r\n    },\r\n    customerCompanyLogoUrl: {\r\n      type: String,\r\n      required: false,\r\n      default: '',\r\n    },\r\n    logoOnlyArtwork: {\r\n      type: [] as PropType<LogoOnlyArtwork[]>,\r\n      required: false,\r\n      default: () => {\r\n        return [];\r\n      },\r\n    },\r\n    version: {\r\n      type: String,\r\n      required: false,\r\n      default: 'V2',\r\n    },\r\n  },\r\n\r\n  computed: {\r\n    ...mapState(useLangStore, ['languageInUse']),\r\n    ...mapState(useAuthStore, ['isTokValid']),\r\n  },\r\n\r\n  watch: {\r\n    isTokValid(newValue) {\r\n      if (!newValue) {\r\n        this.$emit('token-invalid-or-expired');\r\n      }\r\n    },\r\n\r\n    async tok(newValue) {\r\n      if (newValue !== '') {\r\n        this.setTok(this.tok);\r\n        await this.setDefaultTranslations();\r\n      }\r\n    },\r\n  },\r\n\r\n  async mounted() {\r\n    this.setLanguageLocale(this.languageCode);\r\n    this.setSapCustomerId(this.sapCustomerId);\r\n    this.setTok(this.tok);\r\n    await this.setDefaultTranslations();\r\n  },\r\n\r\n  methods: {\r\n    ...mapActions(useLangStore, [\r\n      'setLanguageLocale',\r\n      'setDefaultTranslations',\r\n    ]),\r\n    ...mapActions(useAuthStore, ['setSapCustomerId', 'setTok']),\r\n  },\r\n  i18n,\r\n  pinia,\r\n});\r\n","import mod from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/ts-loader/index.js??ref--15-2!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./import-wizard-v2.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/ts-loader/index.js??ref--15-2!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./import-wizard-v2.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./import-wizard-v2.vue?vue&type=template&id=52001a4c\"\nimport script from \"./import-wizard-v2.vue?vue&type=script&lang=ts\"\nexport * from \"./import-wizard-v2.vue?vue&type=script&lang=ts\"\n\n\n/* normalize component */\nimport normalizer from \"!../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  null,\n  null,\n  null\n  ,true\n)\n\nexport default component.exports","\r\nimport ImportWizardV1 from '../import-wizard/import-wizard.vue';\r\nimport ImportWizardV2 from '../import-wizard-v2/import-wizard-v2.vue';\r\nimport Vue, { PropType } from 'vue';\r\nimport { SupportedLangCodes } from '@/constants/languageCodes';\r\nimport { ProductPrintPositionAddModel } from '@/typings';\r\nimport { LogoOnlyArtwork } from '../import-wizard/typings';\r\nimport isValidLanguageValidator from '@/validators/langLocaleValidator';\r\nimport { priceDetails, pdpChoices } from '@/setters';\r\n\r\nexport default Vue.extend({\r\n  name: 'W2pImportWizardWrapper',\r\n  components: {\r\n    ImportWizardV1,\r\n    ImportWizardV2,\r\n  },\r\n  props: {\r\n    version: {\r\n      type: String,\r\n      required: false,\r\n      default() {\r\n        return '';\r\n      },\r\n    },\r\n    languageCode: {\r\n      type: String as PropType<SupportedLangCodes>,\r\n      required: false,\r\n      default: 'none',\r\n      validator: isValidLanguageValidator,\r\n    },\r\n    personalizationId: {\r\n      type: String,\r\n      required: false,\r\n      default() {\r\n        return '';\r\n      },\r\n    },\r\n    productDescription: {\r\n      type: String,\r\n      required: false,\r\n      default() {\r\n        return '';\r\n      },\r\n    },\r\n    priceDetails,\r\n    wizardOptions: {\r\n      type: Object as PropType<{\r\n        showCurrentVersion: boolean;\r\n        showNextVersion: boolean;\r\n      }>,\r\n      required: true,\r\n    },\r\n    pdpChoices,\r\n    sapCustomerId: {\r\n      type: String,\r\n      required: true,\r\n    },\r\n    tok: {\r\n      type: String,\r\n      required: true,\r\n    },\r\n    isDirectApproval: {\r\n      type: Boolean,\r\n      required: false,\r\n      default: false,\r\n    },\r\n    isFirstTimeOpened: {\r\n      type: Boolean,\r\n      required: false,\r\n      default: false,\r\n    },\r\n    isConceptDisabled: {\r\n      type: Boolean,\r\n      required: false,\r\n      default: false,\r\n    },\r\n    isOrderDisabled: {\r\n      type: Boolean,\r\n      required: false,\r\n      default: false,\r\n    },\r\n    printPositions: {\r\n      type: [] as PropType<ProductPrintPositionAddModel[]>,\r\n      required: false,\r\n      default() {\r\n        return [];\r\n      },\r\n    },\r\n    customerCompanyLogoUrl: {\r\n      type: String,\r\n      required: false,\r\n      default: '',\r\n    },\r\n    logoOnlyArtwork: {\r\n      type: [] as PropType<LogoOnlyArtwork[]>,\r\n      required: false,\r\n      default: () => {\r\n        return [];\r\n      },\r\n    },\r\n  },\r\n  methods: {\r\n    // NOTE: Leave, need it for bug fixing\r\n    emitEvent(eventName: string, event: any) {\r\n      if (eventName === 'wizard:price-params-changed') {\r\n        console.log('wizard:price-params-changed - event emitted');\r\n        console.log('wizard:price-params-changed - event payload', event);\r\n\r\n        this.$emit('wizard:price-params-changed', event);\r\n      }\r\n\r\n      if (eventName === 'wizard:back') {\r\n        this.$emit('wizard:back');\r\n      }\r\n\r\n      if (eventName === 'wizard:saved-as-concept') {\r\n        this.$emit('wizard:saved-as-concept', event);\r\n      }\r\n\r\n      if (eventName === 'wizard:ordered') {\r\n        this.$emit('wizard:ordered', event);\r\n      }\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/ts-loader/index.js??ref--15-2!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./import-wizard-wrapper.vue?vue&type=script&lang=ts&shadow\"; export default mod; export * from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/ts-loader/index.js??ref--15-2!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./import-wizard-wrapper.vue?vue&type=script&lang=ts&shadow\"","import { render, staticRenderFns } from \"./import-wizard-wrapper.vue?vue&type=template&id=51d7897d&shadow\"\nimport script from \"./import-wizard-wrapper.vue?vue&type=script&lang=ts&shadow\"\nexport * from \"./import-wizard-wrapper.vue?vue&type=script&lang=ts&shadow\"\n\n\n/* normalize component */\nimport normalizer from \"!../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  null,\n  null,\n  null\n  ,true\n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('style-provider',[_c('div',{staticClass:\"main-view\"},[_c('the-app',{attrs:{\"sap-customer-id\":_vm.sapCustomerId,\"env\":{ context: _vm.env },\"lang\":_vm.languageInUse},on:{\"logolib:close\":function($event){return _vm.$emit('logolib:close')}}})],1)])\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","\r\nimport StyleProvider from '@/StyleProvider.vue';\r\nimport TheApp from './TheApp.vue';\r\nimport VModal from 'vue-js-modal';\r\nimport Vue, { PropType } from 'vue';\r\nimport i18n from '@/i18n';\r\nimport isValidLanguageValidator from '@/validators/langLocaleValidator';\r\nimport { mapActions, mapState, PiniaVuePlugin } from 'pinia';\r\nimport { useStore as useAuthStore } from '@/stores/auth';\r\nimport { useStore as useLangStore } from '@/stores/lang';\r\nimport { SupportedLangCodes } from '../../constants/languageCodes';\r\n\r\nVue.use(PiniaVuePlugin);\r\nVue.use(VModal, {\r\n  dynamic: true,\r\n  injectModalsContainer: true,\r\n});\r\n\r\nimport { pinia } from '@/pinia';\r\n\r\nexport default Vue.extend({\r\n  components: {\r\n    StyleProvider,\r\n    TheApp,\r\n  },\r\n  props: {\r\n    languageCode: {\r\n      type: String as PropType<SupportedLangCodes>,\r\n      required: false,\r\n      default: 'en',\r\n      validator: isValidLanguageValidator,\r\n    },\r\n    sapCustomerId: {\r\n      type: String,\r\n      required: true,\r\n    },\r\n    tok: {\r\n      type: String,\r\n      required: true,\r\n    },\r\n    env: {\r\n      type: String,\r\n      default: 'myAccount',\r\n      required: true,\r\n    },\r\n  },\r\n  computed: {\r\n    ...mapState(useLangStore, ['languageInUse']),\r\n    ...mapState(useAuthStore, ['isTokValid']),\r\n  },\r\n  watch: {\r\n    isTokValid(newValue) {\r\n      if (!newValue) {\r\n        this.$emit('token-invalid-or-expired');\r\n      }\r\n    },\r\n\r\n    async tok(newValue) {\r\n      if (newValue !== '') {\r\n        this.setTok(this.tok);\r\n        await this.setDefaultTranslations();\r\n      }\r\n    },\r\n  },\r\n  async mounted() {\r\n    this.setLanguageLocale(this.languageCode);\r\n    this.setSapCustomerId(this.sapCustomerId);\r\n    this.setTok(this.tok);\r\n    await this.setDefaultTranslations();\r\n    this.$modal.show('logo-library-modal');\r\n  },\r\n  methods: {\r\n    ...mapActions(useLangStore, ['setLanguageLocale','setDefaultTranslations']),\r\n    ...mapActions(useAuthStore, ['setSapCustomerId', 'setTok']),\r\n  },\r\n  i18n,\r\n  pinia,\r\n});\r\n","import mod from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/ts-loader/index.js??ref--15-2!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./logo-library.vue?vue&type=script&lang=ts&shadow\"; export default mod; export * from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/ts-loader/index.js??ref--15-2!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./logo-library.vue?vue&type=script&lang=ts&shadow\"","import { render, staticRenderFns } from \"./logo-library.vue?vue&type=template&id=1218d830&shadow\"\nimport script from \"./logo-library.vue?vue&type=script&lang=ts&shadow\"\nexport * from \"./logo-library.vue?vue&type=script&lang=ts&shadow\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./logo-library.vue?vue&type=style&index=0&id=1218d830&prod&lang=scss&shadow\")\nif (style0.__inject__) style0.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  null,\n  null\n  ,true\n)\n\nexport default component.exports","\r\nimport StyleProvider from '@/StyleProvider.vue';\r\nimport TheApp from './TheApp.vue';\r\nimport Vue, { PropType } from 'vue';\r\n\r\nimport i18n from '@/i18n';\r\nimport isValidLanguageValidator from '@/validators/langLocaleValidator';\r\n\r\nimport { useStore as useProductStore } from '@/stores/product';\r\nimport { useStore as useLangStore } from '@/stores/lang';\r\nimport { useStore as useShapeStore } from '@/stores/shape';\r\nimport { useStore as useAuthStore } from '@/stores/auth';\r\nimport { useStore as useMirrorStore } from '@/stores/mirror';\r\nimport { useStore as useHistoryStore } from '@/stores/history';\r\nimport { useStore as useNotificationStore } from '@/stores/notification';\r\nimport { pinia } from '@/pinia';\r\nimport { mapActions, mapState, mapStores } from 'pinia';\r\nimport { ProductPrintPositionAddModel } from '@/typings';\r\nimport { ComputedRef } from 'vue';\r\nimport { PDPPrintPositionsModel } from '@/typings/ProductPrintData';\r\nimport { generateEventPayload } from '@/utils/generatePriceParamsEventPayload';\r\nimport { SupportedLangCodes } from '../../constants/languageCodes';\r\nimport { createStateSnapshot } from '@/utils/historyHelper';\r\n\r\nconst EMPTY_GUID = '00000000-0000-0000-0000-000000000000';\r\n\r\ndeclare module 'vue/types/vue' {\r\n  interface Vue {\r\n    $printPositions: ComputedRef;\r\n  }\r\n}\r\nexport default Vue.extend({\r\n  components: {\r\n    StyleProvider,\r\n    TheApp,\r\n  },\r\n  inject: {\r\n    $printPositions: {\r\n      default: [],\r\n    },\r\n  },\r\n  props: {\r\n    sapCustomerId: {\r\n      type: String,\r\n      required: false,\r\n      default: '',\r\n    },\r\n    tok: {\r\n      type: String,\r\n      required: true,\r\n    },\r\n    languageCode: {\r\n      type: String as PropType<SupportedLangCodes>,\r\n      required: false,\r\n      default: 'en',\r\n      validator: isValidLanguageValidator,\r\n    },\r\n    editId: {\r\n      type: String,\r\n      required: false,\r\n      default: '',\r\n    },\r\n    productSku: {\r\n      type: String,\r\n      required: false,\r\n      default: '',\r\n    },\r\n    variantSku: {\r\n      type: String,\r\n      required: false,\r\n      default: '',\r\n    },\r\n    context: {\r\n      type: String,\r\n      required: true,\r\n      default: 'pdp',\r\n    },\r\n    /**\r\n     * If needed initially occupied positions with their respective techniques\r\n     * can be specified\r\n     */\r\n    initialPositions: {\r\n      type: [] as PropType<PDPPrintPositionsModel[]>,\r\n      default() {\r\n        return [];\r\n      },\r\n    },\r\n  },\r\n  data() {\r\n    return {\r\n      positions: [] as ProductPrintPositionAddModel[],\r\n    };\r\n  },\r\n  computed: {\r\n    ...mapStores(useProductStore),\r\n    ...mapStores(useHistoryStore),\r\n    ...mapState(useAuthStore, ['isTokValid']),\r\n    ...mapState(useProductStore, [\r\n      'data',\r\n      'unavailablePrintPositions',\r\n      'positionsSetFromProps',\r\n      'isLaserConverter',\r\n    ]),\r\n    ...mapState(useShapeStore, ['positionShapeMap']),\r\n    ...mapState(useMirrorStore, ['positionMirrorSettings']),\r\n  },\r\n  watch: {\r\n    isTokValid(newValue) {\r\n      if (!newValue) {\r\n        this.$emit('token-invalid-or-expired');\r\n      }\r\n    },\r\n    async tok(newValue) {\r\n      if (newValue !== '') {\r\n        this.setTok(this.tok);\r\n        await this.setDefaultTranslations();\r\n      }\r\n    },\r\n    async initialPositions() {\r\n      if (this.context !== 'wizard') {\r\n        await this.initializeFromPdpContext();\r\n        this.positions = [...this.unavailablePrintPositions];\r\n      }\r\n    },\r\n  },\r\n  async mounted() {\r\n    this.setLanguageLocale(this.languageCode);\r\n    this.setSapCustomerId(this.sapCustomerId);\r\n    this.setTok(this.tok);\r\n    await this.setDefaultTranslations();\r\n\r\n    if (this.context !== 'wizard') {\r\n      /**\r\n       *  Used when this component is initialised on it's own\r\n       */\r\n      await this.initializeFromPdpContext();\r\n    } else {\r\n      /**\r\n       * Used when initialisation is done in a context of a wizard component\r\n       */\r\n      console.warn('$printPositions Injection(): ', this.$printPositions.value);\r\n\r\n      this.setUnavailablePrintPositions(this.unavailablePrintPositions);\r\n    }\r\n\r\n    // Pass the newly set unavailablePrintPositions to the positions array that will be passed to the child component\r\n    this.positions = [...this.unavailablePrintPositions];\r\n  },\r\n  methods: {\r\n    ...mapActions(useLangStore, [\r\n      'setLanguageLocale',\r\n      'setDefaultTranslations',\r\n    ]),\r\n    ...mapActions(useAuthStore, ['setSapCustomerId', 'setTok']),\r\n    ...mapActions(useProductStore, [\r\n      'getProduct',\r\n      'setUnavailablePrintPositions',\r\n      'setActivePrintPosition',\r\n    ]),\r\n    ...mapActions(useMirrorStore, ['addPositionMirrorSettings']),\r\n    ...mapActions(useHistoryStore, ['recordHistory']),\r\n    ...mapActions(useNotificationStore, ['revalidateEmptyPrintPositions']),\r\n\r\n    onCloseModal() {\r\n      this.$modal.hide('print-positions-modal');\r\n\r\n      this.$emit('print-position:cancel');\r\n    },\r\n    async initializeFromPdpContext() {\r\n      const pdpPositions = [] as ProductPrintPositionAddModel[];\r\n\r\n      if (this.productSku) {\r\n        await this.getProduct(this.productSku).then((result) => {\r\n          this.initialPositions.map((initPosition) => {\r\n            const printPosition = result.productPrintPositions.find((p) => {\r\n              return p.name === initPosition.printPositionSAPCode;\r\n            });\r\n\r\n            if (printPosition) {\r\n              const printTechnique = printPosition.printTechniques.find((t) => {\r\n                return (\r\n                  t.printTechnique.code === initPosition.printTechniqueSAPCode\r\n                );\r\n              });\r\n\r\n              if (printTechnique) {\r\n                pdpPositions.push({\r\n                  positionId: printPosition.id,\r\n                  positionName: printPosition.name,\r\n                  printPositionSAPCode: printPosition.name,\r\n                  maxHeightMm: printPosition.maxHeightMm,\r\n                  maxWidthMm: printPosition.maxWidthMm,\r\n                  technique: {\r\n                    id: printTechnique.id,\r\n                    printTechniqueSAPCode: printTechnique.printTechnique.code,\r\n                    techniqueName: printTechnique.printTechnique.name,\r\n                    groupCode: printTechnique.printTechnique.group.code,\r\n                  },\r\n                });\r\n              }\r\n            }\r\n          });\r\n        });\r\n      }\r\n\r\n      // Reset the unavailablePrintPositions array depending on the users chosen print positions on the PDP page\r\n      this.setUnavailablePrintPositions(pdpPositions);\r\n    },\r\n\r\n    savePositions(\r\n      value: ProductPrintPositionAddModel[],\r\n      lastSwap: { from: string; to: string }\r\n    ) {\r\n      this.positions = value;\r\n      this.setUnavailablePrintPositions(value);\r\n      this.revalidateEmptyPrintPositions();\r\n\r\n      this.positions.forEach((p) => {\r\n        const idx = this.positionMirrorSettings.findIndex(\r\n          (x) => x.positionId === p.positionId\r\n        );\r\n        if (idx === -1) {\r\n          this.addPositionMirrorSettings(p.positionId, false, false);\r\n        }\r\n      });\r\n\r\n      const eventPayload = generateEventPayload();\r\n\r\n      this.$emit('wizard:price-params-changed', {\r\n        productPrintPositions: eventPayload,\r\n      });\r\n\r\n      if (this.editId !== '' && this.editId !== EMPTY_GUID) {\r\n        const selectedPrintPosition = value.find(\r\n          (v) => v.positionId === lastSwap.to\r\n        ) as ProductPrintPositionAddModel;\r\n\r\n        this.setActivePrintPosition(selectedPrintPosition);\r\n        this.productStore.$patch((state) => {\r\n          const exists = state.editedPositions.some((id) => id === this.editId);\r\n          if (!exists) {\r\n            state.editedPositions.push(this.editId);\r\n          }\r\n        });\r\n        this.$emit(\r\n          'wizard:print-position-edit',\r\n          value,\r\n          lastSwap.to,\r\n          lastSwap.from\r\n        );\r\n        return;\r\n      }\r\n\r\n      this.$emit('print-position:action', [...value]);\r\n\r\n      const snapshot = createStateSnapshot();\r\n      this.recordHistory(snapshot);\r\n    },\r\n  },\r\n  i18n,\r\n  pinia,\r\n});\r\n","import mod from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/ts-loader/index.js??ref--15-2!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./print-positions-manager.vue?vue&type=script&lang=ts&shadow\"; export default mod; export * from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/ts-loader/index.js??ref--15-2!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./print-positions-manager.vue?vue&type=script&lang=ts&shadow\"","import { render, staticRenderFns } from \"./print-positions-manager.vue?vue&type=template&id=485a1e77&shadow\"\nimport script from \"./print-positions-manager.vue?vue&type=script&lang=ts&shadow\"\nexport * from \"./print-positions-manager.vue?vue&type=script&lang=ts&shadow\"\n\n\n/* normalize component */\nimport normalizer from \"!../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  null,\n  null,\n  null\n  ,true\n)\n\nexport default component.exports","\r\nimport StyleProvider from '@/StyleProvider.vue';\r\nimport TheApp from './TheApp.vue';\r\nimport Vue, { PropType } from 'vue';\r\nimport i18n from '@/i18n';\r\nimport isValidLanguageValidator from '@/validators/langLocaleValidator';\r\nimport { useStore as useProductStore } from '@/stores/v2/product';\r\nimport { useStore as useLangStore } from '@/stores/v2/lang';\r\nimport { useStore as useShapeStore } from '@/stores/v2/shape';\r\nimport { useStore as useAuthStore } from '@/stores/v2/auth';\r\nimport { useStore as useMirrorStore } from '@/stores/v2/mirror';\r\nimport { useStore as useHistoryStore } from '@/stores/v2/history';\r\nimport { useStore as useNotificationStore } from '@/stores/v2/notification';\r\nimport { pinia } from '@/pinia';\r\nimport { mapActions, mapState, mapStores, PiniaVuePlugin } from 'pinia';\r\nimport { ProductPrintPositionAddModel } from '@/typings';\r\nimport { ComputedRef } from 'vue';\r\nimport { PDPPrintPositionsModel } from '@/typings/ProductPrintData';\r\nimport {\r\n  generateEventPayload,\r\n  generateEventPayloadV2,\r\n} from '@/utils/generatePriceParamsEventPayload';\r\nimport { SupportedLangCodes } from '../../constants/languageCodes';\r\nimport { createStateSnapshot } from '@/utils/historyHelperV2';\r\n\r\nconst EMPTY_GUID = '00000000-0000-0000-0000-000000000000';\r\n\r\nVue.use(PiniaVuePlugin);\r\n\r\ndeclare module 'vue/types/vue' {\r\n  interface Vue {\r\n    $printPositions: ComputedRef;\r\n  }\r\n}\r\nexport default Vue.extend({\r\n  name: 'PrintPositionsManagerV2',\r\n  components: {\r\n    StyleProvider,\r\n    TheApp,\r\n  },\r\n  inject: {\r\n    $printPositions: {\r\n      default: [],\r\n    },\r\n  },\r\n  props: {\r\n    sapCustomerId: {\r\n      type: String,\r\n      required: false,\r\n      default: '',\r\n    },\r\n    tok: {\r\n      type: String,\r\n      required: true,\r\n    },\r\n    languageCode: {\r\n      type: String as PropType<SupportedLangCodes>,\r\n      required: false,\r\n      default: 'en',\r\n      validator: isValidLanguageValidator,\r\n    },\r\n    editId: {\r\n      type: String,\r\n      required: false,\r\n      default: '',\r\n    },\r\n    productSku: {\r\n      type: String,\r\n      required: false,\r\n      default: '',\r\n    },\r\n    variantSku: {\r\n      type: String,\r\n      required: false,\r\n      default: '',\r\n    },\r\n    context: {\r\n      type: String,\r\n      required: true,\r\n      default: 'pdp',\r\n    },\r\n    /**\r\n     * If needed initially occupied positions with their respective techniques\r\n     * can be specified\r\n     */\r\n    initialPositions: {\r\n      type: [] as PropType<PDPPrintPositionsModel[]>,\r\n      default() {\r\n        return [];\r\n      },\r\n    },\r\n  },\r\n  data() {\r\n    return {\r\n      positions: [] as ProductPrintPositionAddModel[],\r\n    };\r\n  },\r\n  computed: {\r\n    ...mapStores(useProductStore, useHistoryStore, useNotificationStore),\r\n    ...mapState(useAuthStore, ['isTokValid']),\r\n    ...mapState(useProductStore, [\r\n      'data',\r\n      'unavailablePrintPositions',\r\n      'positionsSetFromProps',\r\n      'isLaserConverter',\r\n    ]),\r\n    ...mapState(useShapeStore, ['positionShapeMap']),\r\n    ...mapState(useMirrorStore, ['positionMirrorSettings']),\r\n  },\r\n  watch: {\r\n    isTokValid(newValue) {\r\n      if (!newValue) {\r\n        this.$emit('token-invalid-or-expired');\r\n      }\r\n    },\r\n    async tok(newValue) {\r\n      if (newValue !== '') {\r\n        this.setTok(this.tok);\r\n        await this.setDefaultTranslations();\r\n      }\r\n    },\r\n    async initialPositions() {\r\n      if (this.context !== 'wizard') {\r\n        await this.initializeFromPdpContext();\r\n        this.positions = [...this.unavailablePrintPositions];\r\n      }\r\n    },\r\n  },\r\n  async mounted() {\r\n    this.setLanguageLocale(this.languageCode);\r\n    this.setSapCustomerId(this.sapCustomerId);\r\n    this.setTok(this.tok);\r\n    await this.setDefaultTranslations();\r\n\r\n    if (this.context !== 'wizard') {\r\n      /**\r\n       *  Used when this component is initialised on it's own\r\n       */\r\n      await this.initializeFromPdpContext();\r\n    } else {\r\n      /**\r\n       * Used when initialisation is done in a context of a wizard component\r\n       */\r\n      console.warn('$printPositions Injection(): ', this.$printPositions.value);\r\n\r\n      this.setUnavailablePrintPositions(this.unavailablePrintPositions);\r\n    }\r\n\r\n    // Pass the newly set unavailablePrintPositions to the positions array that will be passed to the child component\r\n    this.positions = [...this.unavailablePrintPositions];\r\n  },\r\n  methods: {\r\n    ...mapActions(useLangStore, [\r\n      'setLanguageLocale',\r\n      'setDefaultTranslations',\r\n    ]),\r\n    ...mapActions(useAuthStore, ['setSapCustomerId', 'setTok']),\r\n    ...mapActions(useProductStore, [\r\n      'getProduct',\r\n      'setUnavailablePrintPositions',\r\n      'setActivePrintPosition',\r\n      'setSelectedPrintPosition',\r\n    ]),\r\n    ...mapActions(useMirrorStore, ['addPositionMirrorSettings']),\r\n    ...mapActions(useHistoryStore, ['recordHistory']),\r\n    ...mapActions(useNotificationStore, ['runValidators']),\r\n\r\n    onCloseModal() {\r\n      this.$modal.hide('print-positions-modal');\r\n\r\n      this.$emit('print-position:cancel');\r\n    },\r\n    async initializeFromPdpContext() {\r\n      const pdpPositions = [] as ProductPrintPositionAddModel[];\r\n\r\n      if (this.productSku) {\r\n        await this.getProduct(this.productSku).then((result) => {\r\n          this.initialPositions.map((initPosition) => {\r\n            const printPosition = result?.productPrintPositions.find((p) => {\r\n              return p.name === initPosition.printPositionSAPCode;\r\n            });\r\n\r\n            if (printPosition) {\r\n              const printTechnique = printPosition.printTechniques.find((t) => {\r\n                return (\r\n                  t.printTechnique.code === initPosition.printTechniqueSAPCode\r\n                );\r\n              });\r\n\r\n              if (printTechnique) {\r\n                pdpPositions.push({\r\n                  positionId: printPosition.id,\r\n                  positionName: printPosition.name,\r\n                  printPositionSAPCode: printPosition.name,\r\n                  maxHeightMm: printPosition.maxHeightMm,\r\n                  maxWidthMm: printPosition.maxWidthMm,\r\n                  technique: {\r\n                    id: printTechnique.id,\r\n                    printTechniqueSAPCode: printTechnique.printTechnique.code,\r\n                    techniqueName: printTechnique.printTechnique.name,\r\n                    groupCode: printTechnique.printTechnique.group.code,\r\n                  },\r\n                });\r\n              }\r\n            }\r\n          });\r\n        });\r\n      }\r\n\r\n      // Reset the unavailablePrintPositions array depending on the users chosen print positions on the PDP page\r\n      this.setUnavailablePrintPositions(pdpPositions);\r\n    },\r\n\r\n    savePositions(\r\n      value: ProductPrintPositionAddModel[],\r\n      lastSwap: { from: string; to: string }\r\n    ) {\r\n      this.positions = value;\r\n      this.setUnavailablePrintPositions(value);\r\n      this.setActivePrintPosition(value[value.length - 1]);\r\n\r\n      if (lastSwap.to) {\r\n        this.setSelectedPrintPosition(lastSwap.to);\r\n      }\r\n\r\n      this.positions.forEach((p) => {\r\n        const idx = this.positionMirrorSettings.findIndex(\r\n          (x) => x.positionId === p.positionId\r\n        );\r\n        if (idx === -1) {\r\n          this.addPositionMirrorSettings(p.positionId, false, false);\r\n        }\r\n      });\r\n\r\n      if (this.editId !== '' && this.editId !== EMPTY_GUID) {\r\n        this.productStore.$patch((state) => {\r\n          const exists = state.editedPositions.some((id) => id === this.editId);\r\n          if (!exists) {\r\n            state.editedPositions.push(this.editId);\r\n          }\r\n        });\r\n\r\n        this.$emit(\r\n          'wizard:print-position-edit',\r\n          value,\r\n          lastSwap.to,\r\n          lastSwap.from\r\n        );\r\n\r\n        return;\r\n      }\r\n\r\n      this.runValidators();\r\n\r\n      const snapshot = createStateSnapshot();\r\n      this.recordHistory(snapshot);\r\n\r\n      const eventPayload = generateEventPayloadV2();\r\n      this.$emit('wizard:price-params-changed', {\r\n        productPrintPositions: eventPayload,\r\n      });\r\n\r\n      this.$emit('print-position:action', [...value]);\r\n    },\r\n  },\r\n  i18n,\r\n  pinia,\r\n});\r\n","import mod from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/ts-loader/index.js??ref--15-2!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./print-positions-manager-v2.vue?vue&type=script&lang=ts&shadow\"; export default mod; export * from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/ts-loader/index.js??ref--15-2!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./print-positions-manager-v2.vue?vue&type=script&lang=ts&shadow\"","import { render, staticRenderFns } from \"./print-positions-manager-v2.vue?vue&type=template&id=6a722400&shadow\"\nimport script from \"./print-positions-manager-v2.vue?vue&type=script&lang=ts&shadow\"\nexport * from \"./print-positions-manager-v2.vue?vue&type=script&lang=ts&shadow\"\n\n\n/* normalize component */\nimport normalizer from \"!../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  null,\n  null,\n  null\n  ,true\n)\n\nexport default component.exports","\r\nimport StyleProvider from '@/StyleProvider.vue';\r\nimport TheApp from './TheApp.vue';\r\nimport Vue, { PropType } from 'vue';\r\nimport i18n from '@/i18n';\r\nimport isValidLanguageValidator from '@/validators/langLocaleValidator';\r\nimport { mapActions, mapState, PiniaVuePlugin } from 'pinia';\r\nimport { useStore as useLangStore } from '@/stores/lang';\r\nimport { useStore as useAuthStore } from '@/stores/auth';\r\nimport isValidProofApprovalContext from '@/validators/proofApprovalContextValidator';\r\n\r\nVue.use(PiniaVuePlugin);\r\n\r\nimport { pinia } from '@/pinia';\r\nimport { SelectedPrintPositionData } from './typings';\r\nimport { SupportedLangCodes } from '@/constants/languageCodes';\r\nimport customersAPI from '@/services/CustomersService';\r\n\r\nexport default Vue.extend({\r\n  components: {\r\n    StyleProvider,\r\n    TheApp,\r\n  },\r\n\r\n  props: {\r\n    languageCode: {\r\n      type: String as PropType<SupportedLangCodes>,\r\n      required: false,\r\n      default: 'en',\r\n      validator: isValidLanguageValidator,\r\n    },\r\n    masterProductSku: {\r\n      type: String,\r\n      required: true,\r\n    },\r\n    sapCustomerId: {\r\n      type: String,\r\n      required: true,\r\n    },\r\n    tok: {\r\n      type: String,\r\n      required: true,\r\n    },\r\n    userId: {\r\n      type: String,\r\n      required: false,\r\n      default: '',\r\n    },\r\n    userFullName: {\r\n      type: String,\r\n      default: '',\r\n    },\r\n    context: {\r\n      type: String as PropType<'Customer' | 'CustomerCare' | 'PrePress'>,\r\n      required: true,\r\n      validator: isValidProofApprovalContext,\r\n    },\r\n    orderNumber: {\r\n      type: String,\r\n      required: false,\r\n      default: '',\r\n    },\r\n    orderLineId: {\r\n      type: String,\r\n      required: false,\r\n      default: '',\r\n    },\r\n    selectedPrintPositionData: {\r\n      type: Array as PropType<SelectedPrintPositionData[]>,\r\n      required: false,\r\n      default() {\r\n        return [];\r\n      },\r\n    },\r\n    instructions: {\r\n      type: String,\r\n      default: '',\r\n    },\r\n    sendMailToCustomerCare: {\r\n      type: Boolean,\r\n      default: false,\r\n    },\r\n    selectedMethod: {\r\n      type: String,\r\n      required: true,\r\n    },\r\n    numberOfColorsPerPrintPosition: {\r\n      type: Array as PropType<{ positionId: string; numberOfColors: number }[]>,\r\n      default() {\r\n        return [];\r\n      },\r\n    },\r\n    customerCompanyLogoUrl: {\r\n      type: String,\r\n      required: false,\r\n      default: '',\r\n    },\r\n  },\r\n\r\n  data() {\r\n    return {\r\n      instructionsData: this.instructions,\r\n      selectedPrintPosition: this.selectedPrintPositionData,\r\n      sendMailToCustomerCareData: this.sendMailToCustomerCare,\r\n    };\r\n  },\r\n\r\n  computed: {\r\n    ...mapState(useLangStore, ['languageInUse']),\r\n    ...mapState(useAuthStore, ['isTokValid']),\r\n  },\r\n  watch: {\r\n    async languageInUse() {\r\n      if (process.env.VUE_APP_USE_LOCAL_TRANSLATIONS === 'false') {\r\n        var translationsJson = await customersAPI.getTranslations(\r\n          this.languageInUse\r\n        );\r\n        this.$i18n.setLocaleMessage(this.languageInUse, translationsJson.data);\r\n      }\r\n    },\r\n    isTokValid(newValue) {\r\n      if (!newValue) {\r\n        this.$emit('token-invalid-or-expired');\r\n      }\r\n    },\r\n\r\n    async tok(newValue) {\r\n      if (newValue !== '') {\r\n        this.setTok(this.tok);\r\n        await this.setDefaultTranslations();\r\n      }\r\n    },\r\n\r\n    instructions(newValue) {\r\n      this.instructionsData = newValue;\r\n    },\r\n\r\n    selectedPrintPositionData(newValue) {\r\n      if (newValue === undefined || newValue.length === 0) {\r\n        this.$emit('selected-print-positions:empty');\r\n        return;\r\n      }\r\n      this.selectedPrintPosition = newValue;\r\n    },\r\n\r\n    sendMailToCustomerCare(newValue) {\r\n      this.sendMailToCustomerCareData = newValue;\r\n    },\r\n  },\r\n\r\n  async mounted() {\r\n    if (this.selectedPrintPositionData.length === 0) {\r\n      this.$emit('selected-print-positions:empty');\r\n    }\r\n    this.setLanguageLocale(this.languageCode);\r\n    this.setSapCustomerId(this.sapCustomerId);\r\n    this.setTok(this.tok);\r\n    await this.setDefaultTranslations();\r\n\r\n    console.log(\r\n      'Upload logo mounted - masterProductSku - ',\r\n      this.masterProductSku\r\n    );\r\n  },\r\n\r\n  methods: {\r\n    ...mapActions(useLangStore, ['setLanguageLocale','setDefaultTranslations']),\r\n    ...mapActions(useAuthStore, ['setSapCustomerId', 'setTok']),\r\n  },\r\n  i18n,\r\n  pinia,\r\n});\r\n","import mod from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/ts-loader/index.js??ref--15-2!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./upload-logo.vue?vue&type=script&lang=ts&shadow\"; export default mod; export * from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/ts-loader/index.js??ref--15-2!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./upload-logo.vue?vue&type=script&lang=ts&shadow\"","import { render, staticRenderFns } from \"./upload-logo.vue?vue&type=template&id=28b97faa&shadow\"\nimport script from \"./upload-logo.vue?vue&type=script&lang=ts&shadow\"\nexport * from \"./upload-logo.vue?vue&type=script&lang=ts&shadow\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./upload-logo.vue?vue&type=style&index=0&id=28b97faa&prod&lang=scss&shadow\")\nif (style0.__inject__) style0.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  null,\n  null\n  ,true\n)\n\nexport default component.exports","import './setPublicPath'\nimport Vue from 'vue'\nimport wrap from '@vue/web-component-wrapper'\n\n// runtime shared by every component chunk\nimport 'css-loader/dist/runtime/api.js'\nimport 'vue-style-loader/lib/addStylesShadow'\nimport 'vue-loader/lib/runtime/componentNormalizer'\n\nimport flowStarter from '~root/src/web-components/flow-starter/flow-starter.vue?shadow'\nwindow.customElements.define('w2p-flow-starter', wrap(Vue, flowStarter))\n\nimport importWizard from '~root/src/web-components/import-wizard/import-wizard.vue?shadow'\nwindow.customElements.define('w2p-import-wizard', wrap(Vue, importWizard))\n\nimport importWizardV2 from '~root/src/web-components/import-wizard-v2/import-wizard-v2.vue?shadow'\nwindow.customElements.define('w2p-import-wizard-v2', wrap(Vue, importWizardV2))\n\nimport importWizardWrapper from '~root/src/web-components/import-wizard-wrapper/import-wizard-wrapper.vue?shadow'\nwindow.customElements.define('w2p-import-wizard-wrapper', wrap(Vue, importWizardWrapper))\n\nimport logoLibrary from '~root/src/web-components/logo-library/logo-library.vue?shadow'\nwindow.customElements.define('w2p-logo-library', wrap(Vue, logoLibrary))\n\nimport printPositionsManager from '~root/src/web-components/print-positions-manager/print-positions-manager.vue?shadow'\nwindow.customElements.define('w2p-print-positions-manager', wrap(Vue, printPositionsManager))\n\nimport printPositionsManagerV2 from '~root/src/web-components/print-positions-manager-v2/print-positions-manager-v2.vue?shadow'\nwindow.customElements.define('w2p-print-positions-manager-v2', wrap(Vue, printPositionsManagerV2))\n\nimport uploadLogo from '~root/src/web-components/upload-logo/upload-logo.vue?shadow'\nwindow.customElements.define('w2p-upload-logo', wrap(Vue, uploadLogo))","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../node_modules/css-loader/dist/cjs.js??ref--7-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--7-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--7-oneOf-1-3!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./LanyardPanel.vue?vue&type=style&index=1&id=595e6565&prod&lang=css\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"6c3cb8ff\", content, shadowRoot)\n};","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./BellNotification.vue?vue&type=style&index=0&id=65ffcee7&prod&lang=scss&scoped=true\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"09bfb999\", content, shadowRoot)\n};","export * from \"-!../../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PositionsManagement.vue?vue&type=style&index=0&id=358eef66&prod&lang=scss\"","'use strict';\nvar $ = require('../internals/export');\nvar call = require('../internals/function-call');\nvar uncurryThis = require('../internals/function-uncurry-this');\nvar requireObjectCoercible = require('../internals/require-object-coercible');\nvar isCallable = require('../internals/is-callable');\nvar isNullOrUndefined = require('../internals/is-null-or-undefined');\nvar isRegExp = require('../internals/is-regexp');\nvar toString = require('../internals/to-string');\nvar getMethod = require('../internals/get-method');\nvar getRegExpFlags = require('../internals/regexp-get-flags');\nvar getSubstitution = require('../internals/get-substitution');\nvar wellKnownSymbol = require('../internals/well-known-symbol');\nvar IS_PURE = require('../internals/is-pure');\n\nvar REPLACE = wellKnownSymbol('replace');\nvar $TypeError = TypeError;\nvar indexOf = uncurryThis(''.indexOf);\nvar replace = uncurryThis(''.replace);\nvar stringSlice = uncurryThis(''.slice);\nvar max = Math.max;\n\n// `String.prototype.replaceAll` method\n// https://tc39.es/ecma262/#sec-string.prototype.replaceall\n$({ target: 'String', proto: true }, {\n  replaceAll: function replaceAll(searchValue, replaceValue) {\n    var O = requireObjectCoercible(this);\n    var IS_REG_EXP, flags, replacer, string, searchString, functionalReplace, searchLength, advanceBy, replacement;\n    var position = 0;\n    var endOfLastMatch = 0;\n    var result = '';\n    if (!isNullOrUndefined(searchValue)) {\n      IS_REG_EXP = isRegExp(searchValue);\n      if (IS_REG_EXP) {\n        flags = toString(requireObjectCoercible(getRegExpFlags(searchValue)));\n        if (!~indexOf(flags, 'g')) throw new $TypeError('`.replaceAll` does not allow non-global regexes');\n      }\n      replacer = getMethod(searchValue, REPLACE);\n      if (replacer) {\n        return call(replacer, searchValue, O, replaceValue);\n      } else if (IS_PURE && IS_REG_EXP) {\n        return replace(toString(O), searchValue, replaceValue);\n      }\n    }\n    string = toString(O);\n    searchString = toString(searchValue);\n    functionalReplace = isCallable(replaceValue);\n    if (!functionalReplace) replaceValue = toString(replaceValue);\n    searchLength = searchString.length;\n    advanceBy = max(1, searchLength);\n    position = indexOf(string, searchString);\n    while (position !== -1) {\n      replacement = functionalReplace\n        ? toString(replaceValue(searchString, position, string))\n        : getSubstitution(searchString, string, position, [], undefined, replaceValue);\n      result += stringSlice(string, endOfLastMatch, position) + replacement;\n      endOfLastMatch = position + searchLength;\n      position = position + advanceBy > string.length ? -1 : indexOf(string, searchString, position + advanceBy);\n    }\n    if (endOfLastMatch < string.length) {\n      result += stringSlice(string, endOfLastMatch);\n    }\n    return result;\n  }\n});\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".lanyard-panel-options .bx--list-box__label{font-size:14px}.lanyard-panel-options .bx--list-box--expanded .bx--list-box__menu{height:71px}.lanyard-panel-options .bx--btn{font-size:14px;min-height:32px}.lanyard-panel-options .bx--btn .bx--btn__icon{width:16px;height:16px;min-width:16px;min-height:16px}.lanyard-panel-options .bx--dropdown{max-height:31px!important;height:31px!important}.lanyard-panel-options .bx--dropdown-item{height:31px;font-size:14px}.lanyard-panel-options .bx--dropdown-list{height:160px;width:170px}.lanyard-panel-options .bx--accordion{padding:0!important;margin:0!important}.lanyard-panel-options .bx--accordion__heading{height:52px;padding-top:16px}.lanyard-panel-options .bx--accordion__content{padding:0!important;margin:0!important;border-top:1px solid #e0e0e0}.lanyard-panel-options .bx--accordion__title{font-weight:700!important;font-size:14px}.lanyard-panel-options .bx--accordion__arrow{min-height:20px!important;min-width:20px!important}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","export * from \"-!../../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./NotificationToast.vue?vue&type=style&index=1&id=14695db1&prod&lang=scss\"","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./SmallDetailsMultipleLogos.vue?vue&type=style&index=0&id=4f540050&prod&lang=scss\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"3a1e96cd\", content, shadowRoot)\n};","export * from \"-!../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./TheApp.vue?vue&type=style&index=0&id=2dbc7914&prod&lang=scss\"","'use strict';\nmodule.exports = function (bitmap, value) {\n  return {\n    enumerable: !(bitmap & 1),\n    configurable: !(bitmap & 2),\n    writable: !(bitmap & 4),\n    value: value\n  };\n};\n","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./logo-library.vue?vue&type=style&index=0&id=1218d830&prod&lang=scss&shadow\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"ff602bf6\", content, shadowRoot)\n};","export * from \"-!../../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PinturaSidebarHeader.vue?vue&type=style&index=0&id=35a0c7f2&prod&lang=scss\"","'use strict';\nvar DESCRIPTORS = require('../internals/descriptors');\nvar hasOwn = require('../internals/has-own-property');\n\nvar FunctionPrototype = Function.prototype;\n// eslint-disable-next-line es/no-object-getownpropertydescriptor -- safe\nvar getDescriptor = DESCRIPTORS && Object.getOwnPropertyDescriptor;\n\nvar EXISTS = hasOwn(FunctionPrototype, 'name');\n// additional protection from minified / mangled / dropped function names\nvar PROPER = EXISTS && (function something() { /* empty */ }).name === 'something';\nvar CONFIGURABLE = EXISTS && (!DESCRIPTORS || (DESCRIPTORS && getDescriptor(FunctionPrototype, 'name').configurable));\n\nmodule.exports = {\n  EXISTS: EXISTS,\n  PROPER: PROPER,\n  CONFIGURABLE: CONFIGURABLE\n};\n","'use strict';\n\n/**\n * Determines whether the payload is an error thrown by Axios\n *\n * @param {*} payload The value to test\n * @returns {boolean} True if the payload is an error thrown by Axios, otherwise false\n */\nmodule.exports = function isAxiosError(payload) {\n  return (typeof payload === 'object') && (payload.isAxiosError === true);\n};\n","export * from \"-!../../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./LanyardPanelOptions.vue?vue&type=style&index=0&id=1dbf1d0a&prod&lang=scss\"","'use strict';\nvar global = require('../internals/global');\nvar classof = require('../internals/classof-raw');\n\nmodule.exports = classof(global.process) === 'process';\n","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./NotificationToast.vue?vue&type=style&index=0&id=14695db1&prod&lang=scss&scoped=true\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"0f0957bb\", content, shadowRoot)\n};","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".bx--dropdown{border-bottom:none}.total-pricing{width:100%}.accordion{width:97%;height:20px;margin:3px 163px 0 4px;font-size:14px!important;line-height:1.43;letter-spacing:.16px;color:#161616}.accordion,.additional-data{font-weight:400;font-stretch:normal;font-style:normal}.additional-data{padding:0!important;font-size:12px;line-height:1.33;letter-spacing:.32px;color:#525252}.bx--accordion{margin-left:16px;margin-bottom:0;width:93.5%}.bx--accordion__content{padding:0!important;margin:0 8px 0 40px!important}.bx--accordion__heading{min-height:32px;height:32px;align-items:center;justify-content:stretch}.pricing-positions .cv-accordion-item button{height:40px!important}.bx--accordion--start .bx--accordion__arrow{margin:3px -3px 0 3px!important;color:#525252}.bx--accordion__title{margin:0!important;height:20px;font-size:14px!important;font-weight:400;font-stretch:normal;font-style:normal;line-height:1.43;letter-spacing:.16px;color:#161616}.handling-costs-product-price{margin:0 16px!important;border-top:1px solid #d3d3d3;align-items:center;align-content:stretch;padding:0 8px 0 24px;height:32px!important}.handling-costs-border{border-top:none!important}.paragraphs{margin:0;font-size:14px!important;font-weight:400;font-stretch:normal;font-style:normal;line-height:1.43;letter-spacing:.16px;color:#161616}.price-name-amount{display:flex;flex-direction:row;justify-content:space-between;font-size:14px!important;height:16px;align-items:center;margin-bottom:4px}.title{height:40px;padding:11px 0 11px 0;margin:0 16px}.title-paragraph{font-size:14px;font-weight:700;font-stretch:normal;font-style:normal;line-height:1.29;letter-spacing:.16px;color:#161616;margin-right:8px}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","module.exports = function(module) {\n\tif (!module.webpackPolyfill) {\n\t\tmodule.deprecate = function() {};\n\t\tmodule.paths = [];\n\t\t// module.parent = undefined by default\n\t\tif (!module.children) module.children = [];\n\t\tObject.defineProperty(module, \"loaded\", {\n\t\t\tenumerable: true,\n\t\t\tget: function() {\n\t\t\t\treturn module.l;\n\t\t\t}\n\t\t});\n\t\tObject.defineProperty(module, \"id\", {\n\t\t\tenumerable: true,\n\t\t\tget: function() {\n\t\t\t\treturn module.i;\n\t\t\t}\n\t\t});\n\t\tmodule.webpackPolyfill = 1;\n\t}\n\treturn module;\n};\n","import {\r\n  ProductPrintPositionAddModel,\r\n  ProductPrintPositionBoxModel,\r\n} from '@/typings';\r\nimport { mm2px } from '@/utils';\r\nimport {\r\n  ProductVariant as SelectedProductVariant,\r\n  ProductPrintAreaPoint,\r\n  ProductPrintArea,\r\n  PmsColor,\r\n  ProductPrintPosition,\r\n  ProductVariantImage,\r\n  ProductPrintVariant,\r\n  ProductPrintData,\r\n  LaserConfiguration,\r\n  LanyardPrintPositionConfiguration,\r\n} from '@midocean/webapps-shared-domain';\r\nimport printConfigService from '@/services/PrintConfigService';\r\nimport { useStore as useColorsManagmentStore } from './colorsManagement';\r\nimport { defineStore } from 'pinia';\r\nimport { useStore as useNotificationStore } from './notification';\r\nimport { useStore as useMirrorStore } from './mirror';\r\nimport { lineWidth } from '@/constants/areaLineWidth';\r\nimport {\r\n  scaleEllipsePrintPosition,\r\n  scalePolygonPrintPosition,\r\n  scaleRectanglePrintPosition,\r\n} from '@/utils/areaHelper';\r\nimport {\r\n  EllipseArea,\r\n  PolygonArea,\r\n  PrintArea,\r\n  RectangleArea,\r\n} from '@/web-components/import-wizard-v2/typings/common';\r\nimport { Polygon, Vector } from 'collider2d';\r\nimport { isConvex } from '@/utils/collisionHelper';\r\nimport { UnavailableProductPrintPosition } from '@/web-components/import-wizard-v2/typings/product';\r\nimport hexRgb from 'hex-rgb';\r\nimport { ProductSnapshot } from '@/typings/historyV2';\r\nimport { PanelTargetLine, ProductPrintPanel } from '@/typings/ProductPrintData';\r\n\r\nexport const useStore = defineStore({\r\n  id: 'product',\r\n\r\n  state: () => {\r\n    return {\r\n      data: {} as ProductPrintData,\r\n      unavailablePrintPositions: [] as UnavailableProductPrintPosition[],\r\n      selectedPrintPosition: {} as ProductPrintPositionBoxModel,\r\n      selectedVariants: [] as SelectedProductVariant[],\r\n      selectedVariant: {} as ProductPrintVariant,\r\n      lastManagedPrintPositionId: '',\r\n      previousManagedPrintPositionId: '',\r\n      editedPositions: [] as string[],\r\n      positionsSetFromProps: false,\r\n      isProductPrintable: true,\r\n      panelPosition: { x: 0, width: 0 } as ProductPrintPanel,\r\n      centerCoordinatesOfPanels: [] as PanelTargetLine[],\r\n      panelsPositions: [] as number[],\r\n    };\r\n  },\r\n\r\n  getters: {\r\n    activePosition: (state) => {\r\n      if (!state.data.id) {\r\n        return {};\r\n      }\r\n      const pp = state.data.productPrintPositions.find((ppp) => {\r\n        return ppp.id === state.selectedPrintPosition.id;\r\n      });\r\n\r\n      if (pp === undefined) return {};\r\n\r\n      if (state.data.productPrintPositions) {\r\n        const {\r\n          id,\r\n          originalImageWebDpi,\r\n          name,\r\n          printArea,\r\n          originalImageWidthPx,\r\n          originalImageHeightPx,\r\n          originalImageDpi,\r\n          printTechniques,\r\n          categoryConfiguration,\r\n          category,\r\n          maxWidthMm,\r\n          maxHeightMm,\r\n        } = pp;\r\n\r\n        let { originalImageUrl } = pp;\r\n\r\n        if (state.selectedVariant && state.selectedVariant.images) {\r\n          const imageUrl = state.selectedVariant.images.find((img) => {\r\n            return id === img.printPositionID;\r\n          }) as ProductVariantImage;\r\n          originalImageUrl = imageUrl.imageUrl;\r\n        }\r\n\r\n        const limitation = printTechniques.find(\r\n          (x) => x.id == state.selectedPrintPosition.techniqueId\r\n        )?.printTechnique.limitation;\r\n\r\n        return {\r\n          id,\r\n          originalImageUrl,\r\n          originalImageDpi,\r\n          originalImageWebDpi,\r\n          name,\r\n          printArea,\r\n          originalImageWidthPx,\r\n          originalImageHeightPx,\r\n          limitation,\r\n          categoryConfiguration,\r\n          category,\r\n        };\r\n      }\r\n      return {};\r\n    },\r\n    getDebossingColor: (state) => {\r\n      const variantImage = state.selectedVariant.images?.find(\r\n        (i) => i.printPositionID == state.selectedPrintPosition.id\r\n      );\r\n      if (variantImage && variantImage.mostUsedColor) {\r\n        const debossingColor = hexRgb(variantImage.mostUsedColor);\r\n        return [debossingColor.red, debossingColor.green, debossingColor.blue];\r\n      }\r\n      return [];\r\n    },\r\n    area: (state) => {\r\n      return (positionId: string) => {\r\n        const productPrintPosition = state.data.productPrintPositions.find(\r\n          (p) => p.id === positionId\r\n        );\r\n\r\n        if (!productPrintPosition) return [];\r\n        if (!productPrintPosition.printArea.productPrintAreaPoints) return [];\r\n\r\n        return [...productPrintPosition.printArea.productPrintAreaPoints]\r\n          .sort((a, b) => (a.sequenceNo > b.sequenceNo ? 1 : -1))\r\n          .map((point: ProductPrintAreaPoint) => {\r\n            return {\r\n              x: mm2px(\r\n                point['distanceFromLeftEdge'],\r\n                productPrintPosition.originalImageWebDpi\r\n              ),\r\n              y: mm2px(\r\n                point['distanceFromTop'],\r\n                productPrintPosition.originalImageWebDpi\r\n              ),\r\n            };\r\n          });\r\n      };\r\n    },\r\n\r\n    isLaserConverter: (state) => {\r\n      return (printPositionId?: string, techCode?: string) => {\r\n        if (techCode !== undefined) {\r\n          const printPostion = state.data.productPrintPositions?.find(\r\n            (p) => p.id === printPositionId\r\n          );\r\n          const technique = printPostion?.printTechniques.find(\r\n            (t) => t.printTechnique.code === techCode\r\n          );\r\n\r\n          return (\r\n            technique?.printTechnique.nameTranslations\r\n              .find((t) => t.language.code === 'en')\r\n              ?.text.toUpperCase()\r\n              .includes('LASER') || false\r\n          );\r\n        } else {\r\n          // if printPositionId is not defined, then we use the one from selectedPrintPosition\r\n          let posId = state.selectedPrintPosition.id;\r\n          let techniqueId = state.selectedPrintPosition.techniqueId;\r\n\r\n          if (printPositionId !== undefined) {\r\n            posId = printPositionId;\r\n            techniqueId =\r\n              state.unavailablePrintPositions.find(\r\n                (pp) => pp.positionId === posId\r\n              )?.technique.id || '';\r\n          }\r\n\r\n          const printPostion = state.data.productPrintPositions?.find(\r\n            (p) => p.id === posId\r\n          );\r\n          const technique = printPostion?.printTechniques.find(\r\n            (t) => t.id === techniqueId\r\n          );\r\n          return (\r\n            technique?.printTechnique.nameTranslations\r\n              .find((t) => t.language.code === 'en')\r\n              ?.text.toUpperCase()\r\n              .includes('LASER') || false\r\n          );\r\n        }\r\n      };\r\n    },\r\n    isDebossingTechnique: (state) => {\r\n      return (printPositionId?: string, techCode?: string) => {\r\n        if (techCode !== undefined) {\r\n          const printPostion = state.data.productPrintPositions?.find(\r\n            (p) => p.id === printPositionId\r\n          );\r\n          const technique = printPostion?.printTechniques.find(\r\n            (t) => t.printTechnique.code === techCode\r\n          );\r\n\r\n          return (\r\n            technique?.printTechnique.nameTranslations\r\n              .find((t) => t.language.code === 'en')\r\n              ?.text.toUpperCase()\r\n              .includes('DEBOSSING') || false\r\n          );\r\n        } else {\r\n          // if printPositionId is not defined, then we use the one from selectedPrintPosition\r\n          let posId = state.selectedPrintPosition.id;\r\n          let techniqueId = state.selectedPrintPosition.techniqueId;\r\n\r\n          if (printPositionId !== undefined) {\r\n            posId = printPositionId;\r\n            techniqueId = state.unavailablePrintPositions.find(\r\n              (pp) => pp.positionId === posId\r\n            )?.technique.id;\r\n          }\r\n\r\n          const printPostion = state.data.productPrintPositions?.find(\r\n            (p) => p.id === posId\r\n          );\r\n          const technique = printPostion?.printTechniques.find(\r\n            (t) => t.id === techniqueId\r\n          );\r\n          return (\r\n            technique?.printTechnique.nameTranslations\r\n              .find((t) => t.language.code === 'en')\r\n              ?.text.toUpperCase()\r\n              .includes('DEBOSSING') || false\r\n          );\r\n        }\r\n      };\r\n    },\r\n    isFullColor: (state) => {\r\n      return (printPositionId?: string) => {\r\n        // if printPositionId is not defined, then we use the one from selectedPrintPosition\r\n        let posId = state.selectedPrintPosition.id;\r\n        let techniqueId = state.selectedPrintPosition.techniqueId;\r\n\r\n        if (printPositionId !== undefined) {\r\n          posId = printPositionId;\r\n          techniqueId =\r\n            state.unavailablePrintPositions.find(\r\n              (pp) => pp.positionId === posId\r\n            )?.technique.id || '';\r\n        }\r\n        const printPostion = state.data.productPrintPositions?.find(\r\n          (p) => p.id === posId\r\n        );\r\n        const technique = printPostion?.printTechniques.find(\r\n          (t) => t.id === techniqueId\r\n        );\r\n\r\n        return technique?.printTechnique.isFullColor || false;\r\n      };\r\n    },\r\n    isPantoneColorTechnique() {\r\n      return (printPositionId?: string) => {\r\n        // if printPositionId is not defined, then we use the one from selectedPrintPosition\r\n        let posId = this.selectedPrintPosition.id;\r\n        let techniqueId = this.selectedPrintPosition.techniqueId;\r\n\r\n        if (printPositionId !== undefined) {\r\n          posId = printPositionId;\r\n          techniqueId =\r\n            this.unavailablePrintPositions.find((pp) => pp.positionId === posId)\r\n              ?.technique.id || '';\r\n        }\r\n        const printPostion = this.data.productPrintPositions?.find(\r\n          (p) => p.id === posId\r\n        );\r\n        const technique = printPostion?.printTechniques.find(\r\n          (t) => t.id === techniqueId\r\n        );\r\n\r\n        if (technique) {\r\n          return (\r\n            !this.isFullColor() &&\r\n            !this.isLaserConverter() &&\r\n            !this.isDebossingTechnique() &&\r\n            !this.isSublimationTechnique\r\n          );\r\n        } else {\r\n          return false;\r\n        }\r\n      };\r\n    },\r\n    isSmallDetailsTechnique: (state) => {\r\n      return (positionId?: string, techCode?: string) => {\r\n        if (!positionId && !techCode) {\r\n          const currentPrintPosition = state.data.productPrintPositions?.find(\r\n            (p) => p.id === state.selectedPrintPosition.id\r\n          );\r\n          const technique = currentPrintPosition?.printTechniques.find(\r\n            (t) => t.id === state.selectedPrintPosition.techniqueId\r\n          );\r\n\r\n          return technique?.printTechnique.checkSmallDetails || false;\r\n        }\r\n\r\n        const printPostion = state.data.productPrintPositions?.find(\r\n          (p) => p.id === positionId\r\n        );\r\n        const technique = printPostion?.printTechniques.find(\r\n          (t) => t.printTechnique.code === techCode\r\n        );\r\n\r\n        return technique?.printTechnique.limitation !== null || false;\r\n      };\r\n    },\r\n    isSublimationTechnique: (state) => {\r\n      const currentPrintPosition = state.data.productPrintPositions?.find(\r\n        (p) => p.id === state.selectedPrintPosition.id\r\n      );\r\n\r\n      const technique = currentPrintPosition?.printTechniques.find(\r\n        (t) => t.id === state.selectedPrintPosition.techniqueId\r\n      );\r\n\r\n      return technique?.printTechnique.nameTranslations\r\n        .find((t) => t.language.code === 'en')\r\n        ?.text.toUpperCase()\r\n        .includes('SUBLIMATION')\r\n        ? true\r\n        : false;\r\n    },\r\n\r\n    rotation(): number {\r\n      const printArea =\r\n        this.activePosition &&\r\n        (this.activePosition.printArea as ProductPrintArea);\r\n      if (printArea) {\r\n        const rotationInDegrees = printArea.rotation as number;\r\n        const rotationInRadians = (rotationInDegrees * Math.PI) / 180;\r\n        return rotationInRadians;\r\n      }\r\n      return 0;\r\n    },\r\n\r\n    printPositions: (state): ProductPrintPosition[] => {\r\n      return state.data.productPrintPositions.filter((position) => {\r\n        return state.unavailablePrintPositions.some((p) => {\r\n          return p.positionId === position.id;\r\n        });\r\n      });\r\n    },\r\n\r\n    getProductPrintPosition: (state) => {\r\n      return (id: string): ProductPrintPosition | undefined =>\r\n        state.data.productPrintPositions?.find((p) => p.id === id);\r\n    },\r\n\r\n    laserVariantColor: (state) => {\r\n      return (\r\n        printPositionId: string,\r\n        techniqueId: string,\r\n        variantSku: string\r\n      ) => {\r\n        const printPosition = state.data.productPrintPositions.find(\r\n          (p) => p.id === printPositionId\r\n        );\r\n        const printTechnique = printPosition?.printTechniques.find(\r\n          (t) => t.id === techniqueId\r\n        );\r\n        const converters = printTechnique?.printTechnique.converters;\r\n        const eskoConverters = printTechnique?.printTechnique.eskoConverters;\r\n        const baseLaser = converters?.find(\r\n          (c) => c.type === 'Laser' && c.variantSku === null\r\n        );\r\n        let laserConfiguration: LaserConfiguration = {} as LaserConfiguration;\r\n        let eskoLaserPmsColor: PmsColor | undefined = undefined;\r\n        const eskoLaserConverter = eskoConverters?.find(\r\n          (c) =>\r\n            c.type === 'Laser' &&\r\n            c.variantSku === variantSku &&\r\n            c.positionName === printPosition?.name\r\n        );\r\n\r\n        if (eskoLaserConverter !== undefined) {\r\n          const eskoLaserConfig = JSON.parse(eskoLaserConverter.configuration);\r\n          const colorManagementStore = useColorsManagmentStore();\r\n\r\n          eskoLaserPmsColor = colorManagementStore.availablePmsColors.find(\r\n            (x) => x.name === eskoLaserConfig.laserColor\r\n          );\r\n\r\n          if (eskoLaserPmsColor) {\r\n            laserConfiguration.laserColor = {\r\n              red: eskoLaserPmsColor.red,\r\n              blue: eskoLaserPmsColor.blue,\r\n              green: eskoLaserPmsColor.green,\r\n            };\r\n\r\n            laserConfiguration.laserPercentage =\r\n              eskoLaserConfig.laserPercentage;\r\n          }\r\n        }\r\n        if (eskoLaserPmsColor === undefined) {\r\n          const configString =\r\n            converters?.find(\r\n              (c) => c.type === 'Laser' && c.variantSku === variantSku\r\n            )?.configuration || baseLaser?.configuration;\r\n\r\n          laserConfiguration = JSON.parse(configString as string);\r\n        }\r\n\r\n        return laserConfiguration;\r\n      };\r\n    },\r\n\r\n    getTechniqueMaxColors(state) {\r\n      return (positionId: string, techniqueId: string) => {\r\n        const position = state.data.productPrintPositions.find(\r\n          (x) => x.id === positionId\r\n        );\r\n\r\n        const technique = position?.printTechniques.find(\r\n          (x) => x.id === techniqueId\r\n        );\r\n\r\n        return technique ? technique.maximumColours : 0;\r\n      };\r\n    },\r\n\r\n    isAnyPositionAdded: (state) => {\r\n      return state.unavailablePrintPositions.length > 0;\r\n    },\r\n  },\r\n\r\n  actions: {\r\n    async getProduct(productSKU: string) {\r\n      try {\r\n        const { data } = await printConfigService.get(productSKU);\r\n        this.data = data;\r\n        return data;\r\n      } catch (e) {\r\n        console.log(e);\r\n      }\r\n    },\r\n\r\n    // drawPoints from old store, you can decide if the area should be scaled or not by providing the isScaled flag\r\n    printPositionArea(\r\n      positionId: string,\r\n      isScaled: boolean\r\n    ): PrintArea | undefined {\r\n      if (this.area(positionId).length === 0) return;\r\n\r\n      const productPrintPosition = this.data.productPrintPositions.find(\r\n        (p) => p.id === positionId\r\n      );\r\n\r\n      if (productPrintPosition) {\r\n        const {\r\n          printArea,\r\n          originalImageWebDpi,\r\n          originalImageWidthPx,\r\n          originalImageDpi,\r\n        } = productPrintPosition;\r\n\r\n        const rotationInRadians = (printArea.rotation * Math.PI) / 180;\r\n\r\n        if (productPrintPosition.printArea.shapeType === 'Rectangle') {\r\n          const webImageWidthPx =\r\n            (originalImageWidthPx * originalImageWebDpi) / originalImageDpi;\r\n          const rectLineWidth = (lineWidth * webImageWidthPx) / 100;\r\n\r\n          const originalRectangle = {\r\n            x: this.area(positionId)[0]?.x - rectLineWidth / 2,\r\n            y: this.area(positionId)[0]?.y - rectLineWidth / 2,\r\n            width:\r\n              mm2px(printArea.widthMm, originalImageWebDpi) + rectLineWidth,\r\n            height:\r\n              mm2px(printArea.heightMm, originalImageWebDpi) + rectLineWidth,\r\n            rotation: rotationInRadians,\r\n          };\r\n\r\n          let distanceOfMirrorPosition = 0;\r\n          let distanceOfMirrorPositionMm = 0;\r\n\r\n          if (productPrintPosition?.category == 'Lanyard') {\r\n            const configuration =\r\n              productPrintPosition.categoryConfiguration as LanyardPrintPositionConfiguration;\r\n            distanceOfMirrorPosition = mm2px(\r\n              configuration.distanceOfMirrorPosition,\r\n              originalImageWebDpi\r\n            );\r\n            distanceOfMirrorPositionMm = configuration.distanceOfMirrorPosition;\r\n          }\r\n\r\n          const scaledArea = scaleRectanglePrintPosition(\r\n            originalRectangle,\r\n            distanceOfMirrorPosition\r\n          );\r\n\r\n          return isScaled\r\n            ? ({\r\n                ...scaledArea,\r\n                kind: 'Rectangle',\r\n                rotation: rotationInRadians,\r\n                isLanyard: productPrintPosition?.category === 'Lanyard',\r\n                distanceOfMirrorPx:\r\n                  distanceOfMirrorPosition * scaledArea.scaleFactor,\r\n                distanceOfMirrorMm: distanceOfMirrorPositionMm,\r\n                scaleFactor: scaledArea.scaleFactor,\r\n              } as RectangleArea)\r\n            : ({\r\n                ...originalRectangle,\r\n                kind: 'Rectangle',\r\n                rotation: rotationInRadians,\r\n                isLanyard: productPrintPosition?.category == 'Lanyard',\r\n                distanceOfMirrorPx: distanceOfMirrorPosition,\r\n                distanceOfMirrorMm: distanceOfMirrorPositionMm,\r\n                scaleFactor: 1,\r\n              } as RectangleArea);\r\n        }\r\n\r\n        if (productPrintPosition.printArea.shapeType === 'Ellipse') {\r\n          const originalEllipse = {\r\n            x: (this.area(positionId)[0].x + this.area(positionId)[1].x) / 2,\r\n            y: (this.area(positionId)[0].y + this.area(positionId)[1].y) / 2,\r\n            rx: (this.area(positionId)[1].x - this.area(positionId)[0].x) / 2,\r\n            ry: (this.area(positionId)[1].y - this.area(positionId)[0].y) / 2,\r\n            rotation: rotationInRadians,\r\n          };\r\n\r\n          return isScaled\r\n            ? ({\r\n                ...scaleEllipsePrintPosition(originalEllipse),\r\n                kind: 'Ellipse',\r\n                rotation: rotationInRadians,\r\n              } as EllipseArea)\r\n            : ({\r\n                ...originalEllipse,\r\n                kind: 'Ellipse',\r\n                rotation: rotationInRadians,\r\n                scaleFactor: 1,\r\n              } as EllipseArea);\r\n        }\r\n\r\n        if (productPrintPosition.printArea.shapeType === 'Polygon') {\r\n          const originalPolygon = this.area(positionId);\r\n\r\n          if (!isScaled) {\r\n            return {\r\n              points: [...originalPolygon, originalPolygon[0]],\r\n              kind: 'Polygon',\r\n              rotation: rotationInRadians,\r\n              scaleFactor: 1,\r\n            } as PolygonArea;\r\n          }\r\n\r\n          const { points, scaleFactor } = scalePolygonPrintPosition({\r\n            points: originalPolygon,\r\n            rotation: rotationInRadians,\r\n          });\r\n\r\n          return {\r\n            points: [...points, points[0]],\r\n            kind: 'Polygon',\r\n            rotation: rotationInRadians,\r\n            scaleFactor,\r\n          } as PolygonArea;\r\n        }\r\n      }\r\n\r\n      return;\r\n    },\r\n\r\n    setUnavailablePrintPositions(positions: UnavailableProductPrintPosition[]) {\r\n      this.unavailablePrintPositions = [...positions];\r\n    },\r\n\r\n    setSelectedVariant(variant: ProductPrintVariant) {\r\n      this.selectedVariant = variant;\r\n    },\r\n\r\n    setSelectedVariants(variants: SelectedProductVariant[]) {\r\n      this.selectedVariants = variants;\r\n    },\r\n    setSelectedPrintPosition(positionId: string) {\r\n      const productPrintPosition = this.getProductPrintPosition(positionId);\r\n\r\n      const positionBoxModel = this.unavailablePrintPositions.find(\r\n        (p) => p.positionId === positionId\r\n      );\r\n\r\n      if (!productPrintPosition || !positionBoxModel) {\r\n        this.selectedPrintPosition = {} as ProductPrintPositionBoxModel;\r\n      } else {\r\n        this.selectedPrintPosition = {\r\n          id: productPrintPosition.id,\r\n          name: productPrintPosition.name,\r\n          originalImageUrl: productPrintPosition.originalImageUrl,\r\n          originalImageDpi: productPrintPosition.originalImageDpi,\r\n          originalImageWebUrl: productPrintPosition.originalImageWebUrl,\r\n          originalImageWebDpi: productPrintPosition.originalImageWebDpi,\r\n          techniqueName: positionBoxModel.technique.techniqueName,\r\n          techniqueId: positionBoxModel.technique.id,\r\n          maximumColours: productPrintPosition.printTechniques.find(\r\n            (technique) => technique.id === positionBoxModel.technique.id\r\n          )?.maximumColours,\r\n          maxWidthMm: productPrintPosition.maxWidthMm,\r\n          maxHeightMm: productPrintPosition.maxHeightMm,\r\n        };\r\n        this.lastManagedPrintPositionId = productPrintPosition.id;\r\n      }\r\n    },\r\n    setPreviousManagedPrintPositionId(id: string) {\r\n      this.previousManagedPrintPositionId = id;\r\n    },\r\n\r\n    setActivePrintPosition(position: ProductPrintPositionAddModel) {\r\n      const activePosition = this.printPositions?.find((p) => {\r\n        return p.id === position.positionId;\r\n      });\r\n\r\n      if (!activePosition) {\r\n        this.selectedPrintPosition = {} as ProductPrintPositionBoxModel;\r\n      } else {\r\n        this.selectedPrintPosition = {\r\n          id: activePosition.id,\r\n          name: activePosition.name,\r\n          originalImageUrl: activePosition.originalImageUrl,\r\n          originalImageDpi: activePosition.originalImageDpi,\r\n          originalImageWebUrl: activePosition.originalImageWebUrl,\r\n          originalImageWebDpi: activePosition.originalImageWebDpi,\r\n          techniqueName: position.technique.techniqueName,\r\n          techniqueId: position.technique.id,\r\n          maximumColours: activePosition.printTechniques.find((technique) => {\r\n            return technique.id === position?.technique.id;\r\n          })?.maximumColours,\r\n          maxWidthMm: activePosition.maxWidthMm,\r\n          maxHeightMm: activePosition.maxHeightMm,\r\n        };\r\n        this.lastManagedPrintPositionId = activePosition.id;\r\n      }\r\n    },\r\n\r\n    async deletePrintPosition(id: string) {\r\n      console.log('ID', id, this.unavailablePrintPositions);\r\n\r\n      if (!this.unavailablePrintPositions.some((p) => p.positionId === id)) {\r\n        console.warn('Invalid id provided. Cannot delete entity.');\r\n        return;\r\n      }\r\n      /**\r\n       * If we just deleted the last managed remove the reference as well\r\n       */\r\n      if (this.lastManagedPrintPositionId === id) {\r\n        this.lastManagedPrintPositionId = '';\r\n      }\r\n      const removeIndex = this.unavailablePrintPositions.findIndex(\r\n        (p) => p.positionId === id\r\n      );\r\n\r\n      /**\r\n       * Remove item from list of unavailable print positions,\r\n       * thus making it available again\r\n       */\r\n      this.unavailablePrintPositions.splice(removeIndex, 1);\r\n\r\n      /**\r\n       * If we still have some in list show/select the first one\r\n       */\r\n      if (this.unavailablePrintPositions.length > 0) {\r\n        this.setSelectedPrintPosition(\r\n          this.unavailablePrintPositions[0].positionId\r\n        );\r\n      } else {\r\n        /**\r\n         * Other wise just reset the dropdown box\r\n         */\r\n        this.setSelectedPrintPosition('');\r\n      }\r\n      const exists = this.editedPositions.some((p) => p === id);\r\n      if (!exists) {\r\n        this.editedPositions.push(id);\r\n      }\r\n\r\n      const notificationStore = useNotificationStore();\r\n      // notificationStore.resetNotificationsForBell(id);\r\n\r\n      const mirrorStore = useMirrorStore();\r\n      mirrorStore.removeMirrorShapes(id);\r\n    },\r\n    getVariantLaserColor(\r\n      printPositionId: string,\r\n      techniqueId: string,\r\n      variantSku: string\r\n    ) {\r\n      const printPosition = this.data.productPrintPositions.find(\r\n        (p) => p.id === printPositionId\r\n      );\r\n\r\n      const printTechnique = printPosition?.printTechniques.find(\r\n        (t) => t.id === techniqueId\r\n      );\r\n\r\n      const converters = printTechnique?.printTechnique.converters;\r\n\r\n      const eskoConverters = printTechnique?.printTechnique.eskoConverters;\r\n\r\n      const baseLaser = converters?.find(\r\n        (c) => c.type === 'Laser' && c.variantSku === null\r\n      );\r\n\r\n      let laserConfiguration: LaserConfiguration = {} as LaserConfiguration;\r\n\r\n      let eskoLaserPmsColor: PmsColor | undefined = undefined;\r\n\r\n      const eskoLaserConverter = eskoConverters?.find(\r\n        (c) =>\r\n          c.type === 'Laser' &&\r\n          c.variantSku === variantSku &&\r\n          c.positionName === printPosition?.name\r\n      );\r\n\r\n      if (eskoLaserConverter !== undefined) {\r\n        const eskoLaserConfig = JSON.parse(eskoLaserConverter.configuration);\r\n        const colorManagementStore = useColorsManagmentStore();\r\n\r\n        eskoLaserPmsColor = colorManagementStore.availablePmsColors.find(\r\n          (x) => x.name === eskoLaserConfig.laserColor\r\n        );\r\n\r\n        if (eskoLaserPmsColor) {\r\n          laserConfiguration.laserColor = {\r\n            red: eskoLaserPmsColor.red,\r\n            blue: eskoLaserPmsColor.blue,\r\n            green: eskoLaserPmsColor.green,\r\n          };\r\n\r\n          laserConfiguration.laserPercentage = eskoLaserConfig.laserPercentage;\r\n        }\r\n      }\r\n      if (eskoLaserPmsColor === undefined) {\r\n        const configString =\r\n          converters?.find(\r\n            (c) => c.type === 'Laser' && c.variantSku === variantSku\r\n          )?.configuration || baseLaser?.configuration;\r\n\r\n        laserConfiguration = JSON.parse(configString as string);\r\n      }\r\n\r\n      return laserConfiguration;\r\n    },\r\n\r\n    polygonDetails(positionId: string) {\r\n      const vectors = [];\r\n      for (let i = 0; i < this.area(positionId).length; i++) {\r\n        vectors.push(\r\n          new Vector(this.area(positionId)[i]?.x, this.area(positionId)[i]?.y)\r\n        );\r\n      }\r\n      const polygon = new Polygon(new Vector(0, 0), vectors);\r\n      const centroid = polygon.getCentroid();\r\n\r\n      let min = Number.MAX_VALUE;\r\n\r\n      if (!isConvex(polygon)) {\r\n        const points = [...polygon.points];\r\n        for (let i = 0; i < points.length; i++) {\r\n          const point = points[i].clone();\r\n          const distanceToPoint = point.sub(centroid).len();\r\n          if (distanceToPoint < min) {\r\n            min = distanceToPoint;\r\n          }\r\n        }\r\n      } else {\r\n        const points = [...polygon.points];\r\n        for (let i = 0; i < points.length; i++) {\r\n          let next = i + 1;\r\n          if (next >= points.length) {\r\n            next = 0;\r\n          }\r\n\r\n          // calculate slope ---> (y2-y1)/(x2-x1)\r\n          const k =\r\n            (points[next].y - points[i].y) / (points[next].x - points[i].x);\r\n\r\n          // calcualte n --->  y = kx + n; n = y - kx;\r\n          const n = points[i].y - k * points[i].x;\r\n\r\n          // transform to Ax + By + C = 0 --> - kx + y - n = 0;\r\n          const a = -k;\r\n          const b = 1;\r\n          const c = -n;\r\n\r\n          // calculate distance ---> d = abs(a*x0 + b*y0 + c) / sqrt(a*a + b*b)\r\n          const distanceToSide = Math.abs(\r\n            (a * centroid.x + b * centroid.y + c) / Math.sqrt(a * a + b * b)\r\n          );\r\n          if (distanceToSide < min) {\r\n            min = distanceToSide;\r\n          }\r\n        }\r\n      }\r\n      return {\r\n        x: centroid.x,\r\n        y: centroid.y,\r\n        minDistance: min * 1.5,\r\n      };\r\n    },\r\n\r\n    updateProductStateFromSnapshot(snapshot: ProductSnapshot) {\r\n      this.$patch((state) => {\r\n        if (snapshot !== undefined) {\r\n          state.unavailablePrintPositions = snapshot.unavailablePrintPositions;\r\n          state.selectedPrintPosition = snapshot.selectedPrintPosition;\r\n          state.lastManagedPrintPositionId =\r\n            snapshot.lastManagedPrintPositionId;\r\n          state.previousManagedPrintPositionId =\r\n            snapshot.previousManagedPrintPositionId;\r\n        }\r\n      });\r\n    },\r\n    setPanelPosition(position: ProductPrintPanel) {\r\n      this.panelPosition = position;\r\n    },\r\n    setCenterCoordinatesOfPanels(coordinates: PanelTargetLine[]) {\r\n      this.centerCoordinatesOfPanels = coordinates;\r\n    },\r\n    setPanelsPositions(panelsPositions: number[]) {\r\n      this.panelsPositions = panelsPositions;\r\n    },\r\n  },\r\n});\r\n","/**\n * Copyright IBM Corp. 2019, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nimport { c as createSVGComponent } from '../utils-9450cd75.js';\nimport '@carbon/icon-helpers';\nimport 'vue';\n\nconst CheckmarkFilled16 = createSVGComponent('CheckmarkFilled16', {\n  \"xmlns\": \"http://www.w3.org/2000/svg\",\n  \"viewBox\": \"0 0 16 16\",\n  \"fill\": \"currentColor\",\n  \"width\": 16,\n  \"height\": 16\n}, [{\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M8,1C4.1,1,1,4.1,1,8c0,3.9,3.1,7,7,7s7-3.1,7-7C15,4.1,11.9,1,8,1z M7,11L4.3,8.3l0.9-0.8L7,9.3l4-3.9l0.9,0.8L7,11z\"\n  }\n}, {\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M7,11L4.3,8.3l0.9-0.8L7,9.3l4-3.9l0.9,0.8L7,11z\",\n    \"data-icon-path\": \"inner-path\",\n    \"opacity\": \"0\"\n  }\n}]);\n\nexport { CheckmarkFilled16 as default };\n","'use strict';\nvar global = require('../internals/global');\n\n// eslint-disable-next-line es/no-object-defineproperty -- safe\nvar defineProperty = Object.defineProperty;\n\nmodule.exports = function (key, value) {\n  try {\n    defineProperty(global, key, { value: value, configurable: true, writable: true });\n  } catch (error) {\n    global[key] = value;\n  } return value;\n};\n","export * from \"-!../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PrintPositionsManagerHeader.vue?vue&type=style&index=0&id=3e8fd6b9&prod&lang=scss&scoped=true\"","export * from \"-!../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./flow-starter.vue?vue&type=style&index=0&id=46601372&prod&lang=scss&shadow\"","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".slider-container{position:relative;padding-top:15px;padding-bottom:15px}.title2{margin-top:10px!important;font-size:20px;font-weight:400;font-stretch:normal;font-style:normal;line-height:1.3;letter-spacing:normal;color:var(--gray-100)}.row{display:flex}.column{float:left}.mt-15{margin-top:15px}.ml-15{margin-left:15px}.mt-17{margin-top:17px}.desc{font-weight:400;line-height:1.43;color:var(--gray-100)}.desc,.logos-to-check{font-size:14px;font-stretch:normal;font-style:normal;letter-spacing:.16px}.logos-to-check{font-weight:700;line-height:1.29;color:#231f20}.center{display:flex;justify-content:center}.image2{max-width:100%;max-height:250px;-o-object-fit:contain;object-fit:contain;padding:10px}.bc-gray{background-color:#f4f4f4;height:100%;display:flex;justify-content:center;align-content:center;flex-direction:column}.logo-primary{margin-top:15px;font-size:14px;line-height:1.43;letter-spacing:.16px;color:var(--gray-100)}.status2{font-size:16px;font-weight:700;line-height:1.38;color:var(--gray-100)}.progress-container-2{width:80%;height:31px;margin-top:15px;background-color:#f4f4f4;position:relative;display:flex;justify-content:center;align-content:center;flex-direction:column;padding:10px}.progress-shadow-second{height:2px;background-image:linear-gradient(red,red),linear-gradient(orange,orange),linear-gradient(green,green);opacity:.2;background-size:33%,67%,100%;border-radius:4px;background-repeat:no-repeat}.progress-shadow-second:before{content:\\\"\\\";display:flex;justify-content:flex-end;height:100%}.progress-second{width:100%;height:100%;position:absolute;z-index:10;height:2px}.progress-second:before{border-radius:4px;background-repeat:no-repeat;content:\\\"\\\";display:flex;justify-content:flex-end;height:100%;max-width:90%;width:calc(var(--percent)*1%);background-image:linear-gradient(green,green),linear-gradient(orange,orange),linear-gradient(red,red);background-size:calc((var(--percent) - 67)*100%) 100%,calc((var(--percent) - 33)*100%) 100%,100% 100%}.aceept-logos{margin-top:20px;font-size:14px;width:80%;line-height:1.29;letter-spacing:.16px;color:var(--gray-100)}.close-icon{position:absolute;right:15px;cursor:pointer}.close-icon:hover{background:#d3d3d3}.mt-4{margin-top:4px}.line{margin-top:30px;width:85%;height:1px;border:1px solid #f4f4f4}.circle-positive-loss{background-color:#f0f}.circle-negative-loss,.circle-positive-loss{width:16px;height:16px;margin:2px 8px 8px 0;border-radius:8px}.circle-negative-loss{background-color:#1403ff}.no-check-label{margin-top:10px;font-size:16px;font-weight:700;line-height:1.38;color:#0043ce}.progress-container-3{width:80%;height:31px;margin-top:15px;background-color:#f4f4f4;position:relative;display:flex;justify-content:center;align-content:center;flex-direction:column;padding:10px}.progress-line{height:2px;padding:0 0 0 40px;border-radius:4px;background-color:#c6c6c6}.gray-circle{width:16px;height:16px;margin:2px 8px 8px 0;border-radius:8px;background-color:#e0e0e0}.gray-font-color{color:#c6c6c6}.regular-font-color{color:#262626}.regular-font{font-size:14px;max-width:75%;overflow-wrap:break-word}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","'use strict';\n\nvar $defineProperty = require('es-define-property');\n\nvar hasPropertyDescriptors = function hasPropertyDescriptors() {\n\treturn !!$defineProperty;\n};\n\nhasPropertyDescriptors.hasArrayLengthDefineBug = function hasArrayLengthDefineBug() {\n\t// node v0.6 has a bug where array lengths can be Set but not Defined\n\tif (!$defineProperty) {\n\t\treturn null;\n\t}\n\ttry {\n\t\treturn $defineProperty([], 'length', { value: 1 }).length !== 1;\n\t} catch (e) {\n\t\t// In Firefox 4-22, defining length on an array throws an exception.\n\t\treturn true;\n\t}\n};\n\nmodule.exports = hasPropertyDescriptors;\n","\"use strict\";\nObject.defineProperty(exports, \"__esModule\", { value: true });\nexports.isOneOf = void 0;\n/** Validator that only allows any of the given values. */\nconst isOneOf = (allowedValues) => (value) => {\n    if (!allowedValues.includes(value)) {\n        return `value should be one of \"${allowedValues.join('\", \"')}\"`;\n    }\n    return undefined;\n};\nexports.isOneOf = isOneOf;\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".loader .bx--inline-loading__text{font-size:12px}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","/**\n * Copyright IBM Corp. 2019, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nimport { c as createSVGComponent } from '../utils-9450cd75.js';\nimport '@carbon/icon-helpers';\nimport 'vue';\n\nconst ChevronRight32 = createSVGComponent('ChevronRight32', {\n  \"xmlns\": \"http://www.w3.org/2000/svg\",\n  \"viewBox\": \"0 0 32 32\",\n  \"fill\": \"currentColor\",\n  \"width\": 32,\n  \"height\": 32\n}, [{\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M22 16L12 26 10.6 24.6 19.2 16 10.6 7.4 12 6z\"\n  }\n}]);\n\nexport { ChevronRight32 as default };\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".bx--btn.bx--btn--icon-only.bx--tooltip__trigger+.bx--assistive-text[data-v-1a10fa85],.bx--btn.bx--btn--icon-only.bx--tooltip__trigger 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(prefers-contrast){.bx--text-area[data-v-1a10fa85]:active,.bx--text-area[data-v-1a10fa85]:focus{outline-style:dotted}}.bx--text-area[data-v-1a10fa85]::-moz-placeholder{color:#6f6f6f;opacity:1;font-size:.875rem;font-weight:400;line-height:1.42857;letter-spacing:.16px}.bx--text-area[data-v-1a10fa85]::placeholder{color:#6f6f6f;opacity:1;font-size:.875rem;font-weight:400;line-height:1.42857;letter-spacing:.16px}.bx--text-area--light[data-v-1a10fa85]{background-color:#fff}.bx--text-area--invalid[data-v-1a10fa85]{padding-right:2.5rem}.bx--text-area__wrapper[data-v-1a10fa85]{position:relative;display:flex;width:100%}.bx--text-area__invalid-icon[data-v-1a10fa85]{position:absolute;top:.75rem;right:1rem;fill:#da1e28}.bx--text-area[data-v-1a10fa85]:disabled{border-bottom:1px solid transparent;background-color:#f4f4f4;color:#c6c6c6;cursor:not-allowed;outline:none}.bx--text-area[data-v-1a10fa85]:disabled::-moz-placeholder{color:#c6c6c6}.bx--text-area[data-v-1a10fa85]:disabled::placeholder{color:#c6c6c6}.bx--text-area.bx--text-area--light[data-v-1a10fa85]:disabled{background-color:#fff}.bx--text-area.bx--skeleton[data-v-1a10fa85]{position:relative;padding:0;border:none;background:#e5e5e5;box-shadow:none;pointer-events:none;height:6.25rem}.bx--text-area.bx--skeleton[data-v-1a10fa85]:active,.bx--text-area.bx--skeleton[data-v-1a10fa85]:focus,.bx--text-area.bx--skeleton[data-v-1a10fa85]:hover{border:none;cursor:default;outline:none}.bx--text-area.bx--skeleton[data-v-1a10fa85]:before{position:absolute;top:0;left:0;width:100%;height:100%;animation:skeleton-1a10fa85 3s ease-in-out infinite;background:#c6c6c6;content:\\\"\\\";will-change:transform-origin,transform,opacity}@media(prefers-reduced-motion:reduce){.bx--text-area.bx--skeleton[data-v-1a10fa85]:before{animation:none}}.bx--text-area.bx--skeleton[data-v-1a10fa85]::-moz-placeholder{color:transparent}.bx--text-area.bx--skeleton[data-v-1a10fa85]::placeholder{color:transparent}.bx--text-area__label-wrapper[data-v-1a10fa85]{display:flex;width:100%;justify-content:space-between}.empty-print-position[data-v-1a10fa85]{position:absolute;left:var(--left);top:var(--top);width:var(--width);height:var(--height);z-index:3}.empty-print-position--description[data-v-1a10fa85]{display:flex}.empty-print-position--draw[data-v-1a10fa85]{width:35px;height:35px;color:#a8a8a8}.empty-print-position--desc-text[data-v-1a10fa85]{font-size:.875rem;line-height:1.28572;letter-spacing:.16px;color:#a8a8a8;font-size:14px;font-weight:400;line-height:18px;padding-top:5px}.empty-print-position--logo[data-v-1a10fa85]{position:absolute;left:0;top:var(--btnTop)}.empty-print-position--text[data-v-1a10fa85]{position:absolute;right:0;top:var(--btnTop)}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","export * from \"-!../../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./TextPanelOptions.vue?vue&type=style&index=1&id=467d1cc2&prod&lang=scss\"","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".divider{height:.5px;width:100%;background-color:#e0e0e0;margin:12px 0}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","export * from \"-!../../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./EmptyPrintPosition.vue?vue&type=style&index=0&id=1a10fa85&prod&lang=scss&scoped=true\"","'use strict';\n\n/** @type {import('./uri')} */\nmodule.exports = URIError;\n","'use strict';\n\n/** @type {import('./syntax')} */\nmodule.exports = SyntaxError;\n","'use strict';\n\n/* eslint no-invalid-this: 1 */\n\nvar ERROR_MESSAGE = 'Function.prototype.bind called on incompatible ';\nvar toStr = Object.prototype.toString;\nvar max = Math.max;\nvar funcType = '[object Function]';\n\nvar concatty = function concatty(a, b) {\n    var arr = [];\n\n    for (var i = 0; i < a.length; i += 1) {\n        arr[i] = a[i];\n    }\n    for (var j = 0; j < b.length; j += 1) {\n        arr[j + a.length] = b[j];\n    }\n\n    return arr;\n};\n\nvar slicy = function slicy(arrLike, offset) {\n    var arr = [];\n    for (var i = offset || 0, j = 0; i < arrLike.length; i += 1, j += 1) {\n        arr[j] = arrLike[i];\n    }\n    return arr;\n};\n\nvar joiny = function (arr, joiner) {\n    var str = '';\n    for (var i = 0; i < arr.length; i += 1) {\n        str += arr[i];\n        if (i + 1 < arr.length) {\n            str += joiner;\n        }\n    }\n    return str;\n};\n\nmodule.exports = function bind(that) {\n    var target = this;\n    if (typeof target !== 'function' || toStr.apply(target) !== funcType) {\n        throw new TypeError(ERROR_MESSAGE + target);\n    }\n    var args = slicy(arguments, 1);\n\n    var bound;\n    var binder = function () {\n        if (this instanceof bound) {\n            var result = target.apply(\n                this,\n                concatty(args, arguments)\n            );\n            if (Object(result) === result) {\n                return result;\n            }\n            return this;\n        }\n        return target.apply(\n            that,\n            concatty(args, arguments)\n        );\n\n    };\n\n    var boundLength = max(0, target.length - args.length);\n    var boundArgs = [];\n    for (var i = 0; i < boundLength; i++) {\n        boundArgs[i] = '$' + i;\n    }\n\n    bound = Function('binder', 'return function (' + joiny(boundArgs, ',') + '){ return binder.apply(this,arguments); }')(binder);\n\n    if (target.prototype) {\n        var Empty = function Empty() {};\n        Empty.prototype = target.prototype;\n        bound.prototype = new Empty();\n        Empty.prototype = null;\n    }\n\n    return bound;\n};\n","'use strict';\nvar aSet = require('../internals/a-set');\nvar size = require('../internals/set-size');\nvar iterate = require('../internals/set-iterate');\nvar getSetRecord = require('../internals/get-set-record');\n\n// `Set.prototype.isSubsetOf` method\n// https://tc39.github.io/proposal-set-methods/#Set.prototype.isSubsetOf\nmodule.exports = function isSubsetOf(other) {\n  var O = aSet(this);\n  var otherRec = getSetRecord(other);\n  if (size(O) > otherRec.size) return false;\n  return iterate(O, function (e) {\n    if (!otherRec.includes(e)) return false;\n  }, true) !== false;\n};\n","export * from \"-!../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./SideBar.vue?vue&type=style&index=0&id=7a1df78e&prod&lang=scss\"","export * from \"-!../../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./ManualCheck.vue?vue&type=style&index=0&id=4b35cd64&prod&lang=scss&scoped=true\"","'use strict';\n\nvar helpers = require('./helpers');\n\n/** @type ValidatorResult */\nvar ValidatorResult = helpers.ValidatorResult;\n/** @type SchemaError */\nvar SchemaError = helpers.SchemaError;\n\nvar attribute = {};\n\nattribute.ignoreProperties = {\n  // informative properties\n  'id': true,\n  'default': true,\n  'description': true,\n  'title': true,\n  // arguments to other properties\n  'additionalItems': true,\n  'then': true,\n  'else': true,\n  // special-handled properties\n  '$schema': true,\n  '$ref': true,\n  'extends': true,\n};\n\n/**\n * @name validators\n */\nvar validators = attribute.validators = {};\n\n/**\n * Validates whether the instance if of a certain type\n * @param instance\n * @param schema\n * @param options\n * @param ctx\n * @return {ValidatorResult|null}\n */\nvalidators.type = function validateType (instance, schema, options, ctx) {\n  // Ignore undefined instances\n  if (instance === undefined) {\n    return null;\n  }\n  var result = new ValidatorResult(instance, schema, options, ctx);\n  var types = Array.isArray(schema.type) ? schema.type : [schema.type];\n  if (!types.some(this.testType.bind(this, instance, schema, options, ctx))) {\n    var list = types.map(function (v) {\n      if(!v) return;\n      var id = v.$id || v.id;\n      return id ? ('<' + id + '>') : (v+'');\n    });\n    result.addError({\n      name: 'type',\n      argument: list,\n      message: \"is not of a type(s) \" + list,\n    });\n  }\n  return result;\n};\n\nfunction testSchemaNoThrow(instance, options, ctx, callback, schema){\n  var throwError = options.throwError;\n  var throwAll = options.throwAll;\n  options.throwError = false;\n  options.throwAll = false;\n  var res = this.validateSchema(instance, schema, options, ctx);\n  options.throwError = throwError;\n  options.throwAll = throwAll;\n\n  if (!res.valid && callback instanceof Function) {\n    callback(res);\n  }\n  return res.valid;\n}\n\n/**\n * Validates whether the instance matches some of the given schemas\n * @param instance\n * @param schema\n * @param options\n * @param ctx\n * @return {ValidatorResult|null}\n */\nvalidators.anyOf = function validateAnyOf (instance, schema, options, ctx) {\n  // Ignore undefined instances\n  if (instance === undefined) {\n    return null;\n  }\n  var result = new ValidatorResult(instance, schema, options, ctx);\n  var inner = new ValidatorResult(instance, schema, options, ctx);\n  if (!Array.isArray(schema.anyOf)){\n    throw new SchemaError(\"anyOf must be an array\");\n  }\n  if (!schema.anyOf.some(\n    testSchemaNoThrow.bind(\n      this, instance, options, ctx, function(res){inner.importErrors(res);}\n    ))) {\n    var list = schema.anyOf.map(function (v, i) {\n      var id = v.$id || v.id;\n      if(id) return '<' + id + '>';\n      return(v.title && JSON.stringify(v.title)) || (v['$ref'] && ('<' + v['$ref'] + '>')) || '[subschema '+i+']';\n    });\n    if (options.nestedErrors) {\n      result.importErrors(inner);\n    }\n    result.addError({\n      name: 'anyOf',\n      argument: list,\n      message: \"is not any of \" + list.join(','),\n    });\n  }\n  return result;\n};\n\n/**\n * Validates whether the instance matches every given schema\n * @param instance\n * @param schema\n * @param options\n * @param ctx\n * @return {String|null}\n */\nvalidators.allOf = function validateAllOf (instance, schema, options, ctx) {\n  // Ignore undefined instances\n  if (instance === undefined) {\n    return null;\n  }\n  if (!Array.isArray(schema.allOf)){\n    throw new SchemaError(\"allOf must be an array\");\n  }\n  var result = new ValidatorResult(instance, schema, options, ctx);\n  var self = this;\n  schema.allOf.forEach(function(v, i){\n    var valid = self.validateSchema(instance, v, options, ctx);\n    if(!valid.valid){\n      var id = v.$id || v.id;\n      var msg = id || (v.title && JSON.stringify(v.title)) || (v['$ref'] && ('<' + v['$ref'] + '>')) || '[subschema '+i+']';\n      result.addError({\n        name: 'allOf',\n        argument: { id: msg, length: valid.errors.length, valid: valid },\n        message: 'does not match allOf schema ' + msg + ' with ' + valid.errors.length + ' error[s]:',\n      });\n      result.importErrors(valid);\n    }\n  });\n  return result;\n};\n\n/**\n * Validates whether the instance matches exactly one of the given schemas\n * @param instance\n * @param schema\n * @param options\n * @param ctx\n * @return {String|null}\n */\nvalidators.oneOf = function validateOneOf (instance, schema, options, ctx) {\n  // Ignore undefined instances\n  if (instance === undefined) {\n    return null;\n  }\n  if (!Array.isArray(schema.oneOf)){\n    throw new SchemaError(\"oneOf must be an array\");\n  }\n  var result = new ValidatorResult(instance, schema, options, ctx);\n  var inner = new ValidatorResult(instance, schema, options, ctx);\n  var count = schema.oneOf.filter(\n    testSchemaNoThrow.bind(\n      this, instance, options, ctx, function(res) {inner.importErrors(res);}\n    ) ).length;\n  var list = schema.oneOf.map(function (v, i) {\n    var id = v.$id || v.id;\n    return id || (v.title && JSON.stringify(v.title)) || (v['$ref'] && ('<' + v['$ref'] + '>')) || '[subschema '+i+']';\n  });\n  if (count!==1) {\n    if (options.nestedErrors) {\n      result.importErrors(inner);\n    }\n    result.addError({\n      name: 'oneOf',\n      argument: list,\n      message: \"is not exactly one from \" + list.join(','),\n    });\n  }\n  return result;\n};\n\n/**\n * Validates \"then\" or \"else\" depending on the result of validating \"if\"\n * @param instance\n * @param schema\n * @param options\n * @param ctx\n * @return {String|null}\n */\nvalidators.if = function validateIf (instance, schema, options, ctx) {\n  // Ignore undefined instances\n  if (instance === undefined) return null;\n  if (!helpers.isSchema(schema.if)) throw new Error('Expected \"if\" keyword to be a schema');\n  var ifValid = testSchemaNoThrow.call(this, instance, options, ctx, null, schema.if);\n  var result = new ValidatorResult(instance, schema, options, ctx);\n  var res;\n  if(ifValid){\n    if (schema.then === undefined) return;\n    if (!helpers.isSchema(schema.then)) throw new Error('Expected \"then\" keyword to be a schema');\n    res = this.validateSchema(instance, schema.then, options, ctx.makeChild(schema.then));\n    result.importErrors(res);\n  }else{\n    if (schema.else === undefined) return;\n    if (!helpers.isSchema(schema.else)) throw new Error('Expected \"else\" keyword to be a schema');\n    res = this.validateSchema(instance, schema.else, options, ctx.makeChild(schema.else));\n    result.importErrors(res);\n  }\n  return result;\n};\n\nfunction getEnumerableProperty(object, key){\n  // Determine if `key` shows up in `for(var key in object)`\n  // First test Object.hasOwnProperty.call as an optimization: that guarantees it does\n  if(Object.hasOwnProperty.call(object, key)) return object[key];\n  // Test `key in object` as an optimization; false means it won't\n  if(!(key in object)) return;\n  while( (object = Object.getPrototypeOf(object)) ){\n    if(Object.propertyIsEnumerable.call(object, key)) return object[key];\n  }\n}\n\n/**\n * Validates propertyNames\n * @param instance\n * @param schema\n * @param options\n * @param ctx\n * @return {String|null|ValidatorResult}\n */\nvalidators.propertyNames = function validatePropertyNames (instance, schema, options, ctx) {\n  if(!this.types.object(instance)) return;\n  var result = new ValidatorResult(instance, schema, options, ctx);\n  var subschema = schema.propertyNames!==undefined ? schema.propertyNames : {};\n  if(!helpers.isSchema(subschema)) throw new SchemaError('Expected \"propertyNames\" to be a schema (object or boolean)');\n\n  for (var property in instance) {\n    if(getEnumerableProperty(instance, property) !== undefined){\n      var res = this.validateSchema(property, subschema, options, ctx.makeChild(subschema));\n      result.importErrors(res);\n    }\n  }\n\n  return result;\n};\n\n/**\n * Validates properties\n * @param instance\n * @param schema\n * @param options\n * @param ctx\n * @return {String|null|ValidatorResult}\n */\nvalidators.properties = function validateProperties (instance, schema, options, ctx) {\n  if(!this.types.object(instance)) return;\n  var result = new ValidatorResult(instance, schema, options, ctx);\n  var properties = schema.properties || {};\n  for (var property in properties) {\n    var subschema = properties[property];\n    if(subschema===undefined){\n      continue;\n    }else if(subschema===null){\n      throw new SchemaError('Unexpected null, expected schema in \"properties\"');\n    }\n    if (typeof options.preValidateProperty == 'function') {\n      options.preValidateProperty(instance, property, subschema, options, ctx);\n    }\n    var prop = getEnumerableProperty(instance, property);\n    var res = this.validateSchema(prop, subschema, options, ctx.makeChild(subschema, property));\n    if(res.instance !== result.instance[property]) result.instance[property] = res.instance;\n    result.importErrors(res);\n  }\n  return result;\n};\n\n/**\n * Test a specific property within in instance against the additionalProperties schema attribute\n * This ignores properties with definitions in the properties schema attribute, but no other attributes.\n * If too many more types of property-existence tests pop up they may need their own class of tests (like `type` has)\n * @private\n * @return {boolean}\n */\nfunction testAdditionalProperty (instance, schema, options, ctx, property, result) {\n  if(!this.types.object(instance)) return;\n  if (schema.properties && schema.properties[property] !== undefined) {\n    return;\n  }\n  if (schema.additionalProperties === false) {\n    result.addError({\n      name: 'additionalProperties',\n      argument: property,\n      message: \"is not allowed to have the additional property \" + JSON.stringify(property),\n    });\n  } else {\n    var additionalProperties = schema.additionalProperties || {};\n\n    if (typeof options.preValidateProperty == 'function') {\n      options.preValidateProperty(instance, property, additionalProperties, options, ctx);\n    }\n\n    var res = this.validateSchema(instance[property], additionalProperties, options, ctx.makeChild(additionalProperties, property));\n    if(res.instance !== result.instance[property]) result.instance[property] = res.instance;\n    result.importErrors(res);\n  }\n}\n\n/**\n * Validates patternProperties\n * @param instance\n * @param schema\n * @param options\n * @param ctx\n * @return {String|null|ValidatorResult}\n */\nvalidators.patternProperties = function validatePatternProperties (instance, schema, options, ctx) {\n  if(!this.types.object(instance)) return;\n  var result = new ValidatorResult(instance, schema, options, ctx);\n  var patternProperties = schema.patternProperties || {};\n\n  for (var property in instance) {\n    var test = true;\n    for (var pattern in patternProperties) {\n      var subschema = patternProperties[pattern];\n      if(subschema===undefined){\n        continue;\n      }else if(subschema===null){\n        throw new SchemaError('Unexpected null, expected schema in \"patternProperties\"');\n      }\n      try {\n        var regexp = new RegExp(pattern, 'u');\n      } catch(_e) {\n        // In the event the stricter handling causes an error, fall back on the forgiving handling\n        // DEPRECATED\n        regexp = new RegExp(pattern);\n      }\n      if (!regexp.test(property)) {\n        continue;\n      }\n      test = false;\n\n      if (typeof options.preValidateProperty == 'function') {\n        options.preValidateProperty(instance, property, subschema, options, ctx);\n      }\n\n      var res = this.validateSchema(instance[property], subschema, options, ctx.makeChild(subschema, property));\n      if(res.instance !== result.instance[property]) result.instance[property] = res.instance;\n      result.importErrors(res);\n    }\n    if (test) {\n      testAdditionalProperty.call(this, instance, schema, options, ctx, property, result);\n    }\n  }\n\n  return result;\n};\n\n/**\n * Validates additionalProperties\n * @param instance\n * @param schema\n * @param options\n * @param ctx\n * @return {String|null|ValidatorResult}\n */\nvalidators.additionalProperties = function validateAdditionalProperties (instance, schema, options, ctx) {\n  if(!this.types.object(instance)) return;\n  // if patternProperties is defined then we'll test when that one is called instead\n  if (schema.patternProperties) {\n    return null;\n  }\n  var result = new ValidatorResult(instance, schema, options, ctx);\n  for (var property in instance) {\n    testAdditionalProperty.call(this, instance, schema, options, ctx, property, result);\n  }\n  return result;\n};\n\n/**\n * Validates whether the instance value is at least of a certain length, when the instance value is a string.\n * @param instance\n * @param schema\n * @return {String|null}\n */\nvalidators.minProperties = function validateMinProperties (instance, schema, options, ctx) {\n  if (!this.types.object(instance)) return;\n  var result = new ValidatorResult(instance, schema, options, ctx);\n  var keys = Object.keys(instance);\n  if (!(keys.length >= schema.minProperties)) {\n    result.addError({\n      name: 'minProperties',\n      argument: schema.minProperties,\n      message: \"does not meet minimum property length of \" + schema.minProperties,\n    });\n  }\n  return result;\n};\n\n/**\n * Validates whether the instance value is at most of a certain length, when the instance value is a string.\n * @param instance\n * @param schema\n * @return {String|null}\n */\nvalidators.maxProperties = function validateMaxProperties (instance, schema, options, ctx) {\n  if (!this.types.object(instance)) return;\n  var result = new ValidatorResult(instance, schema, options, ctx);\n  var keys = Object.keys(instance);\n  if (!(keys.length <= schema.maxProperties)) {\n    result.addError({\n      name: 'maxProperties',\n      argument: schema.maxProperties,\n      message: \"does not meet maximum property length of \" + schema.maxProperties,\n    });\n  }\n  return result;\n};\n\n/**\n * Validates items when instance is an array\n * @param instance\n * @param schema\n * @param options\n * @param ctx\n * @return {String|null|ValidatorResult}\n */\nvalidators.items = function validateItems (instance, schema, options, ctx) {\n  var self = this;\n  if (!this.types.array(instance)) return;\n  if (schema.items===undefined) return;\n  var result = new ValidatorResult(instance, schema, options, ctx);\n  instance.every(function (value, i) {\n    if(Array.isArray(schema.items)){\n      var items =  schema.items[i]===undefined ? schema.additionalItems : schema.items[i];\n    }else{\n      var items = schema.items;\n    }\n    if (items === undefined) {\n      return true;\n    }\n    if (items === false) {\n      result.addError({\n        name: 'items',\n        message: \"additionalItems not permitted\",\n      });\n      return false;\n    }\n    var res = self.validateSchema(value, items, options, ctx.makeChild(items, i));\n    if(res.instance !== result.instance[i]) result.instance[i] = res.instance;\n    result.importErrors(res);\n    return true;\n  });\n  return result;\n};\n\n/**\n * Validates the \"contains\" keyword\n * @param instance\n * @param schema\n * @param options\n * @param ctx\n * @return {String|null|ValidatorResult}\n */\nvalidators.contains = function validateContains (instance, schema, options, ctx) {\n  var self = this;\n  if (!this.types.array(instance)) return;\n  if (schema.contains===undefined) return;\n  if (!helpers.isSchema(schema.contains)) throw new Error('Expected \"contains\" keyword to be a schema');\n  var result = new ValidatorResult(instance, schema, options, ctx);\n  var count = instance.some(function (value, i) {\n    var res = self.validateSchema(value, schema.contains, options, ctx.makeChild(schema.contains, i));\n    return res.errors.length===0;\n  });\n  if(count===false){\n    result.addError({\n      name: 'contains',\n      argument: schema.contains,\n      message: \"must contain an item matching given schema\",\n    });\n  }\n  return result;\n};\n\n/**\n * Validates minimum and exclusiveMinimum when the type of the instance value is a number.\n * @param instance\n * @param schema\n * @return {String|null}\n */\nvalidators.minimum = function validateMinimum (instance, schema, options, ctx) {\n  if (!this.types.number(instance)) return;\n  var result = new ValidatorResult(instance, schema, options, ctx);\n  if (schema.exclusiveMinimum && schema.exclusiveMinimum === true) {\n    if(!(instance > schema.minimum)){\n      result.addError({\n        name: 'minimum',\n        argument: schema.minimum,\n        message: \"must be greater than \" + schema.minimum,\n      });\n    }\n  } else {\n    if(!(instance >= schema.minimum)){\n      result.addError({\n        name: 'minimum',\n        argument: schema.minimum,\n        message: \"must be greater than or equal to \" + schema.minimum,\n      });\n    }\n  }\n  return result;\n};\n\n/**\n * Validates maximum and exclusiveMaximum when the type of the instance value is a number.\n * @param instance\n * @param schema\n * @return {String|null}\n */\nvalidators.maximum = function validateMaximum (instance, schema, options, ctx) {\n  if (!this.types.number(instance)) return;\n  var result = new ValidatorResult(instance, schema, options, ctx);\n  if (schema.exclusiveMaximum && schema.exclusiveMaximum === true) {\n    if(!(instance < schema.maximum)){\n      result.addError({\n        name: 'maximum',\n        argument: schema.maximum,\n        message: \"must be less than \" + schema.maximum,\n      });\n    }\n  } else {\n    if(!(instance <= schema.maximum)){\n      result.addError({\n        name: 'maximum',\n        argument: schema.maximum,\n        message: \"must be less than or equal to \" + schema.maximum,\n      });\n    }\n  }\n  return result;\n};\n\n/**\n * Validates the number form of exclusiveMinimum when the type of the instance value is a number.\n * @param instance\n * @param schema\n * @return {String|null}\n */\nvalidators.exclusiveMinimum = function validateExclusiveMinimum (instance, schema, options, ctx) {\n  // Support the boolean form of exclusiveMinimum, which is handled by the \"minimum\" keyword.\n  if(typeof schema.exclusiveMinimum === 'boolean') return;\n  if (!this.types.number(instance)) return;\n  var result = new ValidatorResult(instance, schema, options, ctx);\n  var valid = instance > schema.exclusiveMinimum;\n  if (!valid) {\n    result.addError({\n      name: 'exclusiveMinimum',\n      argument: schema.exclusiveMinimum,\n      message: \"must be strictly greater than \" + schema.exclusiveMinimum,\n    });\n  }\n  return result;\n};\n\n/**\n * Validates the number form of exclusiveMaximum when the type of the instance value is a number.\n * @param instance\n * @param schema\n * @return {String|null}\n */\nvalidators.exclusiveMaximum = function validateExclusiveMaximum (instance, schema, options, ctx) {\n  // Support the boolean form of exclusiveMaximum, which is handled by the \"maximum\" keyword.\n  if(typeof schema.exclusiveMaximum === 'boolean') return;\n  if (!this.types.number(instance)) return;\n  var result = new ValidatorResult(instance, schema, options, ctx);\n  var valid = instance < schema.exclusiveMaximum;\n  if (!valid) {\n    result.addError({\n      name: 'exclusiveMaximum',\n      argument: schema.exclusiveMaximum,\n      message: \"must be strictly less than \" + schema.exclusiveMaximum,\n    });\n  }\n  return result;\n};\n\n/**\n * Perform validation for multipleOf and divisibleBy, which are essentially the same.\n * @param instance\n * @param schema\n * @param validationType\n * @param errorMessage\n * @returns {String|null}\n */\nvar validateMultipleOfOrDivisbleBy = function validateMultipleOfOrDivisbleBy (instance, schema, options, ctx, validationType, errorMessage) {\n  if (!this.types.number(instance)) return;\n\n  var validationArgument = schema[validationType];\n  if (validationArgument == 0) {\n    throw new SchemaError(validationType + \" cannot be zero\");\n  }\n\n  var result = new ValidatorResult(instance, schema, options, ctx);\n\n  var instanceDecimals = helpers.getDecimalPlaces(instance);\n  var divisorDecimals = helpers.getDecimalPlaces(validationArgument);\n\n  var maxDecimals = Math.max(instanceDecimals , divisorDecimals);\n  var multiplier = Math.pow(10, maxDecimals);\n\n  if (Math.round(instance * multiplier) % Math.round(validationArgument * multiplier) !== 0) {\n    result.addError({\n      name: validationType,\n      argument:  validationArgument,\n      message: errorMessage + JSON.stringify(validationArgument),\n    });\n  }\n\n  return result;\n};\n\n/**\n * Validates divisibleBy when the type of the instance value is a number.\n * @param instance\n * @param schema\n * @return {String|null}\n */\nvalidators.multipleOf = function validateMultipleOf (instance, schema, options, ctx) {\n  return validateMultipleOfOrDivisbleBy.call(this, instance, schema, options, ctx, \"multipleOf\", \"is not a multiple of (divisible by) \");\n};\n\n/**\n * Validates multipleOf when the type of the instance value is a number.\n * @param instance\n * @param schema\n * @return {String|null}\n */\nvalidators.divisibleBy = function validateDivisibleBy (instance, schema, options, ctx) {\n  return validateMultipleOfOrDivisbleBy.call(this, instance, schema, options, ctx, \"divisibleBy\", \"is not divisible by (multiple of) \");\n};\n\n/**\n * Validates whether the instance value is present.\n * @param instance\n * @param schema\n * @return {String|null}\n */\nvalidators.required = function validateRequired (instance, schema, options, ctx) {\n  var result = new ValidatorResult(instance, schema, options, ctx);\n  if (instance === undefined && schema.required === true) {\n    // A boolean form is implemented for reverse-compatibility with schemas written against older drafts\n    result.addError({\n      name: 'required',\n      message: \"is required\",\n    });\n  } else if (this.types.object(instance) && Array.isArray(schema.required)) {\n    schema.required.forEach(function(n){\n      if(getEnumerableProperty(instance, n)===undefined){\n        result.addError({\n          name: 'required',\n          argument: n,\n          message: \"requires property \" + JSON.stringify(n),\n        });\n      }\n    });\n  }\n  return result;\n};\n\n/**\n * Validates whether the instance value matches the regular expression, when the instance value is a string.\n * @param instance\n * @param schema\n * @return {String|null}\n */\nvalidators.pattern = function validatePattern (instance, schema, options, ctx) {\n  if (!this.types.string(instance)) return;\n  var result = new ValidatorResult(instance, schema, options, ctx);\n  var pattern = schema.pattern;\n  try {\n    var regexp = new RegExp(pattern, 'u');\n  } catch(_e) {\n    // In the event the stricter handling causes an error, fall back on the forgiving handling\n    // DEPRECATED\n    regexp = new RegExp(pattern);\n  }\n  if (!instance.match(regexp)) {\n    result.addError({\n      name: 'pattern',\n      argument: schema.pattern,\n      message: \"does not match pattern \" + JSON.stringify(schema.pattern.toString()),\n    });\n  }\n  return result;\n};\n\n/**\n * Validates whether the instance value is of a certain defined format or a custom\n * format.\n * The following formats are supported for string types:\n *   - date-time\n *   - date\n *   - time\n *   - ip-address\n *   - ipv6\n *   - uri\n *   - color\n *   - host-name\n *   - alpha\n *   - alpha-numeric\n *   - utc-millisec\n * @param instance\n * @param schema\n * @param [options]\n * @param [ctx]\n * @return {String|null}\n */\nvalidators.format = function validateFormat (instance, schema, options, ctx) {\n  if (instance===undefined) return;\n  var result = new ValidatorResult(instance, schema, options, ctx);\n  if (!result.disableFormat && !helpers.isFormat(instance, schema.format, this)) {\n    result.addError({\n      name: 'format',\n      argument: schema.format,\n      message: \"does not conform to the \" + JSON.stringify(schema.format) + \" format\",\n    });\n  }\n  return result;\n};\n\n/**\n * Validates whether the instance value is at least of a certain length, when the instance value is a string.\n * @param instance\n * @param schema\n * @return {String|null}\n */\nvalidators.minLength = function validateMinLength (instance, schema, options, ctx) {\n  if (!this.types.string(instance)) return;\n  var result = new ValidatorResult(instance, schema, options, ctx);\n  var hsp = instance.match(/[\\uDC00-\\uDFFF]/g);\n  var length = instance.length - (hsp ? hsp.length : 0);\n  if (!(length >= schema.minLength)) {\n    result.addError({\n      name: 'minLength',\n      argument: schema.minLength,\n      message: \"does not meet minimum length of \" + schema.minLength,\n    });\n  }\n  return result;\n};\n\n/**\n * Validates whether the instance value is at most of a certain length, when the instance value is a string.\n * @param instance\n * @param schema\n * @return {String|null}\n */\nvalidators.maxLength = function validateMaxLength (instance, schema, options, ctx) {\n  if (!this.types.string(instance)) return;\n  var result = new ValidatorResult(instance, schema, options, ctx);\n  // TODO if this was already computed in \"minLength\", use that value instead of re-computing\n  var hsp = instance.match(/[\\uDC00-\\uDFFF]/g);\n  var length = instance.length - (hsp ? hsp.length : 0);\n  if (!(length <= schema.maxLength)) {\n    result.addError({\n      name: 'maxLength',\n      argument: schema.maxLength,\n      message: \"does not meet maximum length of \" + schema.maxLength,\n    });\n  }\n  return result;\n};\n\n/**\n * Validates whether instance contains at least a minimum number of items, when the instance is an Array.\n * @param instance\n * @param schema\n * @return {String|null}\n */\nvalidators.minItems = function validateMinItems (instance, schema, options, ctx) {\n  if (!this.types.array(instance)) return;\n  var result = new ValidatorResult(instance, schema, options, ctx);\n  if (!(instance.length >= schema.minItems)) {\n    result.addError({\n      name: 'minItems',\n      argument: schema.minItems,\n      message: \"does not meet minimum length of \" + schema.minItems,\n    });\n  }\n  return result;\n};\n\n/**\n * Validates whether instance contains no more than a maximum number of items, when the instance is an Array.\n * @param instance\n * @param schema\n * @return {String|null}\n */\nvalidators.maxItems = function validateMaxItems (instance, schema, options, ctx) {\n  if (!this.types.array(instance)) return;\n  var result = new ValidatorResult(instance, schema, options, ctx);\n  if (!(instance.length <= schema.maxItems)) {\n    result.addError({\n      name: 'maxItems',\n      argument: schema.maxItems,\n      message: \"does not meet maximum length of \" + schema.maxItems,\n    });\n  }\n  return result;\n};\n\n/**\n * Deep compares arrays for duplicates\n * @param v\n * @param i\n * @param a\n * @private\n * @return {boolean}\n */\nfunction testArrays (v, i, a) {\n  var j, len = a.length;\n  for (j = i + 1, len; j < len; j++) {\n    if (helpers.deepCompareStrict(v, a[j])) {\n      return false;\n    }\n  }\n  return true;\n}\n\n/**\n * Validates whether there are no duplicates, when the instance is an Array.\n * @param instance\n * @return {String|null}\n */\nvalidators.uniqueItems = function validateUniqueItems (instance, schema, options, ctx) {\n  if (schema.uniqueItems!==true) return;\n  if (!this.types.array(instance)) return;\n  var result = new ValidatorResult(instance, schema, options, ctx);\n  if (!instance.every(testArrays)) {\n    result.addError({\n      name: 'uniqueItems',\n      message: \"contains duplicate item\",\n    });\n  }\n  return result;\n};\n\n/**\n * Validate for the presence of dependency properties, if the instance is an object.\n * @param instance\n * @param schema\n * @param options\n * @param ctx\n * @return {null|ValidatorResult}\n */\nvalidators.dependencies = function validateDependencies (instance, schema, options, ctx) {\n  if (!this.types.object(instance)) return;\n  var result = new ValidatorResult(instance, schema, options, ctx);\n  for (var property in schema.dependencies) {\n    if (instance[property] === undefined) {\n      continue;\n    }\n    var dep = schema.dependencies[property];\n    var childContext = ctx.makeChild(dep, property);\n    if (typeof dep == 'string') {\n      dep = [dep];\n    }\n    if (Array.isArray(dep)) {\n      dep.forEach(function (prop) {\n        if (instance[prop] === undefined) {\n          result.addError({\n            // FIXME there's two different \"dependencies\" errors here with slightly different outputs\n            // Can we make these the same? Or should we create different error types?\n            name: 'dependencies',\n            argument: childContext.propertyPath,\n            message: \"property \" + prop + \" not found, required by \" + childContext.propertyPath,\n          });\n        }\n      });\n    } else {\n      var res = this.validateSchema(instance, dep, options, childContext);\n      if(result.instance !== res.instance) result.instance = res.instance;\n      if (res && res.errors.length) {\n        result.addError({\n          name: 'dependencies',\n          argument: childContext.propertyPath,\n          message: \"does not meet dependency required by \" + childContext.propertyPath,\n        });\n        result.importErrors(res);\n      }\n    }\n  }\n  return result;\n};\n\n/**\n * Validates whether the instance value is one of the enumerated values.\n *\n * @param instance\n * @param schema\n * @return {ValidatorResult|null}\n */\nvalidators['enum'] = function validateEnum (instance, schema, options, ctx) {\n  if (instance === undefined) {\n    return null;\n  }\n  if (!Array.isArray(schema['enum'])) {\n    throw new SchemaError(\"enum expects an array\", schema);\n  }\n  var result = new ValidatorResult(instance, schema, options, ctx);\n  if (!schema['enum'].some(helpers.deepCompareStrict.bind(null, instance))) {\n    result.addError({\n      name: 'enum',\n      argument: schema['enum'],\n      message: \"is not one of enum values: \" + schema['enum'].map(String).join(','),\n    });\n  }\n  return result;\n};\n\n/**\n * Validates whether the instance exactly matches a given value\n *\n * @param instance\n * @param schema\n * @return {ValidatorResult|null}\n */\nvalidators['const'] = function validateEnum (instance, schema, options, ctx) {\n  if (instance === undefined) {\n    return null;\n  }\n  var result = new ValidatorResult(instance, schema, options, ctx);\n  if (!helpers.deepCompareStrict(schema['const'], instance)) {\n    result.addError({\n      name: 'const',\n      argument: schema['const'],\n      message: \"does not exactly match expected constant: \" + schema['const'],\n    });\n  }\n  return result;\n};\n\n/**\n * Validates whether the instance if of a prohibited type.\n * @param instance\n * @param schema\n * @param options\n * @param ctx\n * @return {null|ValidatorResult}\n */\nvalidators.not = validators.disallow = function validateNot (instance, schema, options, ctx) {\n  var self = this;\n  if(instance===undefined) return null;\n  var result = new ValidatorResult(instance, schema, options, ctx);\n  var notTypes = schema.not || schema.disallow;\n  if(!notTypes) return null;\n  if(!Array.isArray(notTypes)) notTypes=[notTypes];\n  notTypes.forEach(function (type) {\n    if (self.testType(instance, schema, options, ctx, type)) {\n      var id = type && (type.$id || type.id);\n      var schemaId = id || type;\n      result.addError({\n        name: 'not',\n        argument: schemaId,\n        message: \"is of prohibited type \" + schemaId,\n      });\n    }\n  });\n  return result;\n};\n\nmodule.exports = attribute;\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".order-details[data-v-a8f26848]{position:absolute;width:100%;bottom:0}.order-details[data-v-a8f26848],.order-details__show-pricing-button[data-v-a8f26848]{display:flex;flex-direction:column;align-items:center}.order-details__show-pricing-button[data-v-a8f26848]{width:40px;height:40px;position:relative;bottom:-10px;background:#fff;border:1px solid #e0e0e0;border-radius:50%;cursor:pointer;z-index:1}.order-details .order-details__menu[data-v-a8f26848]{position:relative;width:100%;height:56px;display:flex;justify-content:space-between;align-items:center}.order-details .order-details__menu--production[data-v-a8f26848]{display:flex;align-items:center;justify-content:center;background:#e0e0e0;height:100%;width:35%;border-left:1px solid #fff;border-top:1px solid #fff;font-size:14px;color:#525252}.order-details .order-details__menu--production__tooltip[data-v-a8f26848]{display:inline-block;margin-left:5px;align-self:center;font-size:18px}.order-details .order-details__menu--price[data-v-a8f26848]{display:flex;align-items:center;justify-content:center;height:100%;background:#fff;width:35%;font-size:16px}.order-details .order-details__menu--order-item[data-v-a8f26848]{display:flex;align-items:center;height:100%;width:30%;font-size:16px}.order-details .order-details__menu--order-item__button[data-v-a8f26848]{height:100%;width:100%;color:#fff;padding:20px 34px}.order-details .first-chevron[data-v-a8f26848]{position:relative;top:10px}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","'use strict';\nvar NATIVE_WEAK_MAP = require('../internals/weak-map-basic-detection');\nvar global = require('../internals/global');\nvar isObject = require('../internals/is-object');\nvar createNonEnumerableProperty = require('../internals/create-non-enumerable-property');\nvar hasOwn = require('../internals/has-own-property');\nvar shared = require('../internals/shared-store');\nvar sharedKey = require('../internals/shared-key');\nvar hiddenKeys = require('../internals/hidden-keys');\n\nvar OBJECT_ALREADY_INITIALIZED = 'Object already initialized';\nvar TypeError = global.TypeError;\nvar WeakMap = global.WeakMap;\nvar set, get, has;\n\nvar enforce = function (it) {\n  return has(it) ? get(it) : set(it, {});\n};\n\nvar getterFor = function (TYPE) {\n  return function (it) {\n    var state;\n    if (!isObject(it) || (state = get(it)).type !== TYPE) {\n      throw new TypeError('Incompatible receiver, ' + TYPE + ' required');\n    } return state;\n  };\n};\n\nif (NATIVE_WEAK_MAP || shared.state) {\n  var store = shared.state || (shared.state = new WeakMap());\n  /* eslint-disable no-self-assign -- prototype methods protection */\n  store.get = store.get;\n  store.has = store.has;\n  store.set = store.set;\n  /* eslint-enable no-self-assign -- prototype methods protection */\n  set = function (it, metadata) {\n    if (store.has(it)) throw new TypeError(OBJECT_ALREADY_INITIALIZED);\n    metadata.facade = it;\n    store.set(it, metadata);\n    return metadata;\n  };\n  get = function (it) {\n    return store.get(it) || {};\n  };\n  has = function (it) {\n    return store.has(it);\n  };\n} else {\n  var STATE = sharedKey('state');\n  hiddenKeys[STATE] = true;\n  set = function (it, metadata) {\n    if (hasOwn(it, STATE)) throw new TypeError(OBJECT_ALREADY_INITIALIZED);\n    metadata.facade = it;\n    createNonEnumerableProperty(it, STATE, metadata);\n    return metadata;\n  };\n  get = function (it) {\n    return hasOwn(it, STATE) ? it[STATE] : {};\n  };\n  has = function (it) {\n    return hasOwn(it, STATE);\n  };\n}\n\nmodule.exports = {\n  set: set,\n  get: get,\n  has: has,\n  enforce: enforce,\n  getterFor: getterFor\n};\n","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../node_modules/cache-loader/dist/cjs.js??ref--1-0!../node_modules/vue-loader/lib/index.js??vue-loader-options!./StyleProvider.vue?vue&type=style&index=0&id=0cf82d90&prod&lang=scss\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"77b67af6\", content, shadowRoot)\n};","export * from \"-!../../../node_modules/vue-style-loader/index.js??ref--7-oneOf-1-0!../../../node_modules/css-loader/dist/cjs.js??ref--7-oneOf-1-1!../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../node_modules/postcss-loader/src/index.js??ref--7-oneOf-1-2!../../../node_modules/postcss-loader/src/index.js??ref--7-oneOf-1-3!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./QuestionAboutWhite.vue?vue&type=style&index=0&id=04338b07&prod&scoped=true&lang=css\"","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PrintTechniqueHeader.vue?vue&type=style&index=0&id=df60dd3a&prod&lang=scss&scoped=true\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"22516e9a\", content, shadowRoot)\n};","export * from \"-!../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./SearchArtworks.vue?vue&type=style&index=1&id=798e296b&prod&lang=scss\"","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PrintTechniqueHeader.vue?vue&type=style&index=0&id=893df954&prod&lang=scss&scoped=true\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"09fd5139\", content, shadowRoot)\n};","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../node_modules/css-loader/dist/cjs.js??ref--7-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--7-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--7-oneOf-1-3!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./RoundItemPanel.vue?vue&type=style&index=0&id=582fdf2e&prod&scoped=true&lang=css\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"a216093a\", content, shadowRoot)\n};","export * from \"-!../../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./TotalPricing.vue?vue&type=style&index=0&id=5bd1b5f0&prod&lang=scss\"","module.exports = 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\"","export * from \"-!../../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./Header.vue?vue&type=style&index=1&id=7cea795e&prod&lang=scss\"","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./OrderOverviewProductData.vue?vue&type=style&index=0&id=7df16423&prod&lang=scss&scoped=true\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"2af7f987\", content, shadowRoot)\n};","export * from \"-!../../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./Divider.vue?vue&type=style&index=0&id=46c08943&prod&lang=scss\"","import { useStore as useProductStore } from '@/stores/v2/product';\r\nimport { lineWidthV2 } from '@/constants/areaLineWidth';\r\nimport { TextShape } from '@/web-components/import-wizard/typings/pintura';\r\nimport { mm2px } from '../utils';\r\nimport { BACKGROUND_IMAGE_W } from '@/web-components/import-wizard-v2/constants';\r\n\r\nexport function positionText(\r\n  shape: TextShape,\r\n  positionId: string,\r\n  repositionText: boolean\r\n): { x: number; y: number; w: number; h: number } {\r\n  const artworkSpaceConsumed = 0.97;\r\n  let calcWidth = 0;\r\n  let calcHeight = 0;\r\n\r\n  const productStore = useProductStore();\r\n\r\n  const currentPrintPosition = productStore.printPositions?.find((p) => {\r\n    return p.id === positionId;\r\n  });\r\n\r\n  if (currentPrintPosition) {\r\n    const rectLineWidth = (lineWidthV2 * BACKGROUND_IMAGE_W) / 100;\r\n\r\n    let areaWidth = 0;\r\n    let areaHeight = 0;\r\n    let areaRect = {\r\n      x: 0,\r\n      y: 0,\r\n      w: 0,\r\n      h: 0,\r\n    };\r\n\r\n    const area = productStore.printPositionArea(positionId, true);\r\n\r\n    if (area && area.kind === 'Rectangle') {\r\n      areaRect = {\r\n        x: area.x,\r\n        y: area.y,\r\n        w: area.width,\r\n        h: area.height,\r\n      };\r\n\r\n      areaHeight = areaRect.h + rectLineWidth;\r\n\r\n      areaWidth = areaRect.w + rectLineWidth;\r\n    } else if (area && area.kind === 'Ellipse') {\r\n      areaRect = {\r\n        x: area.x,\r\n        y: area.y,\r\n        w: area.rx * 2,\r\n        h: area.ry * 2,\r\n      };\r\n\r\n      areaHeight = areaRect.h + rectLineWidth;\r\n\r\n      areaWidth = areaRect.w + rectLineWidth;\r\n    } else if (area && area.kind === 'Polygon') {\r\n      const minX = Math.min(...area.points.map((o) => o.x));\r\n      const minY = Math.min(...area.points.map((o) => o.y));\r\n      const maxX = Math.max(...area.points.map((o) => o.x));\r\n      const maxY = Math.max(...area.points.map((o) => o.y));\r\n      areaRect = {\r\n        x: minX - rectLineWidth / 2,\r\n        y: minY - rectLineWidth / 2,\r\n        w: maxX - minX,\r\n        h: maxY - minY,\r\n      };\r\n\r\n      areaHeight = areaRect.h + rectLineWidth;\r\n\r\n      areaWidth = areaRect.w + rectLineWidth;\r\n    }\r\n\r\n    calcWidth =\r\n      (shape.originalWidthMM / currentPrintPosition.printArea.widthMm) *\r\n      artworkSpaceConsumed *\r\n      areaWidth;\r\n    calcHeight =\r\n      (shape.originalHeightMM / currentPrintPosition.printArea.heightMm) *\r\n      artworkSpaceConsumed *\r\n      areaHeight;\r\n\r\n    const gapW = areaRect.w - calcWidth - lineWidthV2 * 2;\r\n    const gapH = areaRect.h - calcHeight - lineWidthV2 * 2;\r\n\r\n    if (repositionText) {\r\n      shape.y = areaRect.y + gapH / 2;\r\n      shape.x = areaRect.x + rectLineWidth;\r\n\r\n      const rotationInDegrees = currentPrintPosition?.printArea\r\n        .rotation as number;\r\n      shape.rotation = (rotationInDegrees * Math.PI) / 180;\r\n    }\r\n\r\n    shape.width = calcWidth;\r\n    shape.height = calcHeight;\r\n  }\r\n\r\n  return { x: shape.x, y: shape.y, w: shape.width, h: shape.height };\r\n}\r\n","import { AnnotationShape } from '@/web-components/import-wizard/typings';\r\nimport { checkIsInArea, checkIsInAreaV2 } from './collisionHelper';\r\nimport { PrintArea } from '@/web-components/import-wizard-v2/typings/common';\r\nimport { lineWidth } from '@/constants/areaLineWidth';\r\n\r\nexport function alignAnnotationShape(\r\n  rectLineWidth: number,\r\n  activeShape: AnnotationShape,\r\n  printableArea: PrintArea,\r\n  printableAreaRotation: number,\r\n  alignmentType: string,\r\n  actualWidth: number,\r\n  actualHeight: number,\r\n  polygonDetails: any\r\n): void {\r\n  if (alignmentType === 'align-horizontal-left') {\r\n    if (printableArea.kind === 'Rectangle') {\r\n      if (printableAreaRotation === 0 && activeShape.rotation === 0) {\r\n        activeShape.x = printableArea.x + rectLineWidth / 2;\r\n      } else {\r\n        activeShape.x = alignLeftControlV2(\r\n          rectLineWidth,\r\n          activeShape,\r\n          printableArea,\r\n          printableAreaRotation\r\n        );\r\n      }\r\n    }\r\n    if (printableArea.kind === 'Ellipse') {\r\n      activeShape.x = alignLeftControlV2(\r\n        rectLineWidth,\r\n        activeShape,\r\n        printableArea,\r\n        printableAreaRotation\r\n      );\r\n    }\r\n  }\r\n\r\n  if (alignmentType === 'align-horizontal-right') {\r\n    if (printableArea.kind === 'Rectangle') {\r\n      if (printableAreaRotation === 0 && activeShape.rotation === 0) {\r\n        activeShape.x =\r\n          printableArea.x + printableArea.width - actualWidth - rectLineWidth;\r\n      } else {\r\n        activeShape.x = alignRightControlV2(\r\n          rectLineWidth,\r\n          activeShape,\r\n          actualWidth,\r\n          printableArea,\r\n          printableAreaRotation\r\n        );\r\n      }\r\n    }\r\n    if (printableArea.kind === 'Ellipse') {\r\n      activeShape.x = alignRightControlV2(\r\n        rectLineWidth,\r\n        activeShape,\r\n        actualWidth,\r\n        printableArea,\r\n        printableAreaRotation\r\n      );\r\n    }\r\n  }\r\n\r\n  if (alignmentType === 'align-vertical-top') {\r\n    if (printableArea.kind === 'Rectangle') {\r\n      if (printableAreaRotation === 0 && activeShape.rotation === 0) {\r\n        activeShape.y = printableArea.y + rectLineWidth / 2;\r\n      } else {\r\n        activeShape.y = alignTopControlV2(\r\n          rectLineWidth,\r\n          activeShape,\r\n          printableArea,\r\n          printableAreaRotation\r\n        );\r\n      }\r\n    }\r\n    if (printableArea.kind === 'Ellipse') {\r\n      activeShape.y = alignTopControlV2(\r\n        rectLineWidth,\r\n        activeShape,\r\n        printableArea,\r\n        printableAreaRotation\r\n      );\r\n    }\r\n  }\r\n\r\n  if (alignmentType === 'align-vertical-bottom') {\r\n    if (printableArea.kind === 'Rectangle') {\r\n      if (printableAreaRotation === 0 && activeShape.rotation === 0) {\r\n        activeShape.y =\r\n          printableArea.y +\r\n          printableArea.height -\r\n          actualHeight -\r\n          rectLineWidth / 2;\r\n      } else {\r\n        activeShape.y = alignBottomControlV2(\r\n          rectLineWidth,\r\n          activeShape,\r\n          actualHeight,\r\n          printableArea,\r\n          printableAreaRotation\r\n        );\r\n      }\r\n    }\r\n    if (printableArea.kind === 'Ellipse') {\r\n      activeShape.y = alignBottomControlV2(\r\n        rectLineWidth,\r\n        activeShape,\r\n        actualHeight,\r\n        printableArea,\r\n        printableAreaRotation\r\n      );\r\n    }\r\n  }\r\n\r\n  if (alignmentType === 'align-vertical-center') {\r\n    if (printableArea.kind === 'Rectangle') {\r\n      activeShape.y =\r\n        printableArea.y + printableArea.height / 2 - actualHeight / 2;\r\n    }\r\n    if (printableArea.kind === 'Ellipse') {\r\n      activeShape.y = printableArea.y - actualHeight / 2;\r\n    }\r\n    if (printableArea.kind === 'Polygon') {\r\n      activeShape.y = polygonDetails.y - actualHeight / 2;\r\n    }\r\n  }\r\n\r\n  if (alignmentType === 'align-horizontal-center') {\r\n    if (printableArea.kind === 'Rectangle') {\r\n      activeShape.x =\r\n        printableArea.x + printableArea.width / 2 - actualWidth / 2;\r\n    }\r\n    if (printableArea.kind === 'Ellipse') {\r\n      activeShape.x = printableArea.x - actualWidth / 2;\r\n    }\r\n    if (printableArea.kind === 'Polygon') {\r\n      activeShape.x = polygonDetails.x - actualWidth / 2;\r\n    }\r\n  }\r\n}\r\n\r\nexport function alignLeftControlV2(\r\n  rectLineWidth: number,\r\n  activeShape: AnnotationShape,\r\n  printableArea: PrintArea,\r\n  printableAreaRotation: number\r\n): number {\r\n  let isInRectangle = false;\r\n  let newX = 0;\r\n  const idx = 2;\r\n\r\n  if (printableArea.kind === 'Rectangle') {\r\n    newX = printableArea.x - printableArea.width / 2;\r\n    while (isInRectangle === false) {\r\n      newX = newX + idx;\r\n      isInRectangle = checkIsInAreaV2(\r\n        { ...activeShape, x: newX },\r\n        printableArea,\r\n        printableAreaRotation,\r\n        rectLineWidth\r\n      );\r\n    }\r\n    return newX;\r\n  } else if (printableArea.kind === 'Ellipse') {\r\n    let isInEllipse = false;\r\n    let idx = 1;\r\n\r\n    while (isInEllipse === false) {\r\n      newX = printableArea.x - printableArea.rx + idx;\r\n      isInEllipse = checkIsInAreaV2(\r\n        { ...activeShape, x: newX },\r\n        printableArea,\r\n        printableAreaRotation,\r\n        rectLineWidth\r\n      );\r\n      idx = idx + 1;\r\n    }\r\n    return newX;\r\n  }\r\n\r\n  return newX;\r\n}\r\n\r\nexport function alignRightControlV2(\r\n  rectLineWidth: number,\r\n  activeShape: AnnotationShape,\r\n  actualWidth: number,\r\n  printableArea: PrintArea,\r\n  printableAreaRotation: number\r\n): number {\r\n  let isInRectangle = false;\r\n  const idx = 2;\r\n  let newX = 0;\r\n\r\n  if (printableArea.kind === 'Rectangle') {\r\n    newX = printableArea.x + printableArea.width;\r\n    while (isInRectangle === false) {\r\n      newX = newX - idx;\r\n      isInRectangle = checkIsInAreaV2(\r\n        { ...activeShape, x: newX },\r\n        printableArea,\r\n        printableAreaRotation,\r\n        rectLineWidth\r\n      );\r\n    }\r\n    return newX;\r\n  } else if (printableArea.kind === 'Ellipse') {\r\n    let isInEllipse = false;\r\n    let idx = 1;\r\n\r\n    while (isInEllipse === false) {\r\n      newX = printableArea.x + printableArea.rx * 2 + actualWidth - idx;\r\n      isInEllipse = checkIsInAreaV2(\r\n        { ...activeShape, x: newX },\r\n        printableArea,\r\n        printableAreaRotation,\r\n        rectLineWidth\r\n      );\r\n      idx = idx + 1;\r\n    }\r\n    return newX;\r\n  }\r\n\r\n  return newX;\r\n}\r\n\r\nexport function alignTopControlV2(\r\n  rectLineWidth: number,\r\n  activeShape: AnnotationShape,\r\n  printableArea: PrintArea,\r\n  printableAreaRotation: number\r\n): number {\r\n  let newY = 0;\r\n\r\n  if (printableArea.kind === 'Rectangle') {\r\n    let isInRectangle = false;\r\n    let idx = 1;\r\n    while (isInRectangle === false) {\r\n      newY = printableArea.y + idx;\r\n      isInRectangle = checkIsInAreaV2(\r\n        {\r\n          ...activeShape,\r\n          y: newY,\r\n        },\r\n        printableArea,\r\n        printableAreaRotation,\r\n        rectLineWidth\r\n      );\r\n      idx = idx + 1;\r\n    }\r\n    return newY;\r\n  } else if (printableArea.kind === 'Ellipse') {\r\n    let isInEllipse = false;\r\n    let idx = 1;\r\n    while (isInEllipse === false) {\r\n      newY = printableArea.y - printableArea.ry + idx;\r\n      isInEllipse = checkIsInAreaV2(\r\n        {\r\n          ...activeShape,\r\n          y: newY,\r\n        },\r\n        printableArea,\r\n        printableAreaRotation,\r\n        rectLineWidth\r\n      );\r\n      idx = idx + 1;\r\n    }\r\n    return newY;\r\n  }\r\n\r\n  return newY;\r\n}\r\n\r\nexport function alignBottomControlV2(\r\n  rectLineWidth: number,\r\n  activeShape: AnnotationShape,\r\n  actualHeight: number,\r\n  printableArea: PrintArea,\r\n  printableAreaRotation: number\r\n): number {\r\n  let newY = 0;\r\n\r\n  if (printableArea.kind === 'Rectangle') {\r\n    let isInRectangle = false;\r\n    let idx = 1;\r\n\r\n    while (isInRectangle === false) {\r\n      newY = printableArea.y + printableArea.height - actualHeight - idx;\r\n      isInRectangle = checkIsInAreaV2(\r\n        {\r\n          ...activeShape,\r\n          y: newY,\r\n        },\r\n        printableArea,\r\n        printableAreaRotation,\r\n        rectLineWidth\r\n      );\r\n      idx = idx + 1;\r\n    }\r\n    return newY;\r\n  } else if (printableArea.kind === 'Ellipse') {\r\n    let isInEllipse = false;\r\n    let idx = 1;\r\n    while (isInEllipse === false) {\r\n      newY = printableArea.y + printableArea.ry - actualHeight - idx;\r\n      isInEllipse = checkIsInAreaV2(\r\n        {\r\n          ...activeShape,\r\n          y: newY,\r\n        },\r\n        printableArea,\r\n        printableAreaRotation,\r\n        rectLineWidth\r\n      );\r\n      idx = idx + 1;\r\n    }\r\n    return newY;\r\n  }\r\n\r\n  return newY;\r\n}\r\n\r\nexport function alignLeftControl(\r\n  rectLineWidth: number,\r\n  activeShape: AnnotationShape,\r\n  printableArea: PrintArea,\r\n  printableAreaRotation: number\r\n): number {\r\n  let isInRectangle = false;\r\n  let newX = 0;\r\n  const idx = 2;\r\n\r\n  if (printableArea.kind === 'Rectangle') {\r\n    newX = printableArea.x - printableArea.width / 2;\r\n    while (isInRectangle === false) {\r\n      newX = newX + idx;\r\n      isInRectangle = checkIsInArea(\r\n        { ...activeShape, x: newX },\r\n        printableArea,\r\n        printableArea.kind,\r\n        printableAreaRotation,\r\n        rectLineWidth\r\n      );\r\n    }\r\n    return newX;\r\n  } else if (printableArea.kind === 'Ellipse') {\r\n    let isInEllipse = false;\r\n    let idx = 1;\r\n\r\n    while (isInEllipse === false) {\r\n      newX = printableArea.x - printableArea.rx + idx;\r\n      isInEllipse = checkIsInArea(\r\n        { ...activeShape, x: newX },\r\n        printableArea,\r\n        printableArea.kind,\r\n        printableAreaRotation,\r\n        rectLineWidth\r\n      );\r\n      idx = idx + 1;\r\n    }\r\n    return newX;\r\n  }\r\n\r\n  return newX;\r\n}\r\n\r\nexport function alignRightControl(\r\n  rectLineWidth: number,\r\n  activeShape: AnnotationShape,\r\n  actualWidth: number,\r\n  printableArea: PrintArea,\r\n  printableAreaRotation: number\r\n): number {\r\n  let isInRectangle = false;\r\n  const idx = 2;\r\n  let newX = 0;\r\n\r\n  if (printableArea.kind === 'Rectangle') {\r\n    newX = printableArea.x + printableArea.width;\r\n    while (isInRectangle === false) {\r\n      newX = newX - idx;\r\n      isInRectangle = checkIsInArea(\r\n        { ...activeShape, x: newX },\r\n        printableArea,\r\n        printableArea.kind,\r\n        printableAreaRotation,\r\n        rectLineWidth\r\n      );\r\n    }\r\n    return newX;\r\n  } else if (printableArea.kind === 'Ellipse') {\r\n    let isInEllipse = false;\r\n    let idx = 1;\r\n\r\n    while (isInEllipse === false) {\r\n      newX = printableArea.x + printableArea.rx * 2 + actualWidth - idx;\r\n      isInEllipse = checkIsInArea(\r\n        { ...activeShape, x: newX },\r\n        printableArea,\r\n        printableArea.kind,\r\n        printableAreaRotation,\r\n        rectLineWidth\r\n      );\r\n      idx = idx + 1;\r\n    }\r\n    return newX;\r\n  }\r\n\r\n  return newX;\r\n}\r\n\r\nexport function alignTopControl(\r\n  rectLineWidth: number,\r\n  activeShape: AnnotationShape,\r\n  printableArea: PrintArea,\r\n  printableAreaRotation: number\r\n): number {\r\n  let newY = 0;\r\n\r\n  if (printableArea.kind === 'Rectangle') {\r\n    let isInRectangle = false;\r\n    let idx = 1;\r\n\r\n    while (isInRectangle === false) {\r\n      newY = printableArea.y + idx;\r\n      isInRectangle = checkIsInArea(\r\n        {\r\n          ...activeShape,\r\n          y: newY,\r\n        },\r\n        printableArea,\r\n        printableArea.kind,\r\n        printableAreaRotation,\r\n        rectLineWidth\r\n      );\r\n      idx = idx + 1;\r\n    }\r\n    return newY;\r\n  } else if (printableArea.kind === 'Ellipse') {\r\n    let isInEllipse = false;\r\n    let idx = 1;\r\n    while (isInEllipse === false) {\r\n      newY = printableArea.y - printableArea.ry + idx;\r\n      isInEllipse = checkIsInArea(\r\n        {\r\n          ...activeShape,\r\n          y: newY,\r\n        },\r\n        printableArea,\r\n        printableArea.kind,\r\n        printableAreaRotation,\r\n        rectLineWidth\r\n      );\r\n      idx = idx + 1;\r\n    }\r\n    return newY;\r\n  }\r\n\r\n  return newY;\r\n}\r\n\r\nexport function alignBottomControl(\r\n  rectLineWidth: number,\r\n  activeShape: AnnotationShape,\r\n  actualHeight: number,\r\n  printableArea: PrintArea,\r\n  printableAreaRotation: number\r\n): number {\r\n  let newY = 0;\r\n\r\n  if (printableArea.kind === 'Rectangle') {\r\n    let isInRectangle = false;\r\n    let idx = 1;\r\n\r\n    while (isInRectangle === false) {\r\n      newY = printableArea.y + printableArea.height - actualHeight - idx;\r\n      isInRectangle = checkIsInArea(\r\n        {\r\n          ...activeShape,\r\n          y: newY,\r\n        },\r\n        printableArea,\r\n        printableArea.kind,\r\n        printableAreaRotation,\r\n        rectLineWidth\r\n      );\r\n      idx = idx + 1;\r\n    }\r\n    return newY;\r\n  } else if (printableArea.kind === 'Ellipse') {\r\n    let isInEllipse = false;\r\n    let idx = 1;\r\n    while (isInEllipse === false) {\r\n      newY = printableArea.y + printableArea.ry - actualHeight - idx;\r\n      isInEllipse = checkIsInArea(\r\n        {\r\n          ...activeShape,\r\n          y: newY,\r\n        },\r\n        printableArea,\r\n        printableArea.kind,\r\n        printableAreaRotation,\r\n        rectLineWidth\r\n      );\r\n      idx = idx + 1;\r\n    }\r\n    return newY;\r\n  }\r\n\r\n  return newY;\r\n}\r\n\r\nexport function alignRoundItemAnnotationShape(\r\n  shape: any,\r\n  panelArea: any,\r\n  alignmentType: string,\r\n  printableArea: any,\r\n  printableAreaRotation: number,\r\n  rectLineWidth: number\r\n) {\r\n  if (alignmentType === 'align-horizontal-left' && shape !== undefined) {\r\n    if (printableArea.kind === 'Rectangle') {\r\n      if (printableAreaRotation === 0 && shape.rotation === 0) {\r\n        shape.x = panelArea.x + rectLineWidth;\r\n      } else {\r\n        shape.x = alignLeftControlV2(\r\n          rectLineWidth,\r\n          shape,\r\n          {\r\n            ...printableArea,\r\n            x: panelArea.x,\r\n            width: panelArea.width,\r\n          },\r\n          printableAreaRotation\r\n        );\r\n      }\r\n    }\r\n  } else if (\r\n    alignmentType === 'align-horizontal-right' &&\r\n    shape !== undefined\r\n  ) {\r\n    if (printableAreaRotation === 0 && shape.rotation === 0) {\r\n      shape.x = panelArea.x + panelArea.width - shape.width - rectLineWidth;\r\n    } else {\r\n      shape.x = alignRightControlV2(\r\n        rectLineWidth,\r\n        shape,\r\n        shape.width,\r\n        {\r\n          ...printableArea,\r\n          x: panelArea.x,\r\n          width: panelArea.width,\r\n        },\r\n        printableAreaRotation\r\n      );\r\n    }\r\n  } else if (alignmentType === 'align-vertical-top') {\r\n    if (printableArea.kind === 'Rectangle') {\r\n      if (printableAreaRotation === 0 && shape.rotation === 0) {\r\n        shape.y = printableArea.y + rectLineWidth / 2;\r\n      } else {\r\n        shape.y = alignTopControlV2(\r\n          rectLineWidth,\r\n          shape,\r\n          {\r\n            ...printableArea,\r\n            x: panelArea.x,\r\n            width: panelArea.width,\r\n          },\r\n          printableAreaRotation\r\n        );\r\n      }\r\n    }\r\n  } else if (alignmentType === 'align-vertical-bottom') {\r\n    if (printableArea.kind === 'Rectangle') {\r\n      if (printableAreaRotation === 0 && shape.rotation === 0) {\r\n        shape.y =\r\n          printableArea.y +\r\n          printableArea.height -\r\n          shape.height -\r\n          rectLineWidth / 2;\r\n      } else {\r\n        shape.y = alignBottomControlV2(\r\n          rectLineWidth,\r\n          shape,\r\n          shape.height,\r\n          {\r\n            ...printableArea,\r\n            x: panelArea.x,\r\n            width: panelArea.width,\r\n          },\r\n          printableAreaRotation\r\n        );\r\n      }\r\n    }\r\n  }\r\n  if (alignmentType === 'align-vertical-center') {\r\n    if (printableArea.kind === 'Rectangle') {\r\n      shape.y = printableArea.y + printableArea.height / 2 - shape.height / 2;\r\n    }\r\n  }\r\n\r\n  if (alignmentType === 'align-horizontal-center') {\r\n    if (printableArea.kind === 'Rectangle') {\r\n      shape.x = panelArea.x + panelArea.width / 2 - shape.width / 2;\r\n    }\r\n  }\r\n\r\n  return shape;\r\n}\r\n","import { AnnotationShape } from '@/web-components/import-wizard-v2/typings/common';\r\nimport { PrintArea } from '@/web-components/import-wizard-v2/typings/common';\r\nimport { lineWidthV2 } from '@/constants/areaLineWidth';\r\nimport { ArtworkPayload } from '@/web-components/import-wizard/typings/pintura';\r\nimport { px2mm, recalculateDPI } from '@/utils/common';\r\nimport { BACKGROUND_IMAGE_W } from '@/web-components/import-wizard-v2/constants';\r\nimport { ProductPrintArea } from '@midocean/webapps-shared-domain';\r\n\r\nconst CORRECTION_FACTOR = 0;\r\n\r\nexport function createShapeFromPayload(\r\n  payload: ArtworkPayload,\r\n  printableArea: PrintArea,\r\n  printableAreaRotation: number,\r\n  productPrintPosition: any,\r\n  polygonDetails: any\r\n): AnnotationShape {\r\n  const centerPositionShape = getCenterShapePosition(\r\n    payload.pngWidthPixels,\r\n    payload.pngHeightPixels,\r\n    productPrintPosition,\r\n    printableArea,\r\n    polygonDetails\r\n  );\r\n\r\n  const recalculatedHDPI = recalculateDPI(\r\n    px2mm(\r\n      centerPositionShape.width,\r\n      productPrintPosition?.originalImageWebDpi as number\r\n    ),\r\n    payload.originalHorizontalResolutionDPIs,\r\n    payload.originalWidthMM\r\n  );\r\n\r\n  const recalculatedVDPI = recalculateDPI(\r\n    px2mm(\r\n      centerPositionShape.height,\r\n      productPrintPosition?.originalImageWebDpi as number\r\n    ),\r\n    payload.originalVerticalResolutionDPIs,\r\n    payload.originalHeightMM\r\n  );\r\n\r\n  const shapeToAdd: AnnotationShape = {\r\n    zindex: 0,\r\n    kind: 'Logo',\r\n    isRoundLogo: false,\r\n    id: payload.personalizationArtworkId,\r\n    title: payload.title,\r\n    backgroundImage: URL.createObjectURL(payload.pngFile as Blob),\r\n    pngFileWithoutConverters: payload.pngFileWithoutConverters,\r\n    x: centerPositionShape.x,\r\n    y: centerPositionShape.y,\r\n    isInArea: true,\r\n    width: centerPositionShape.width,\r\n    height: centerPositionShape.height,\r\n    aspectRatio: centerPositionShape.width / centerPositionShape.height,\r\n    processed: '',\r\n    isSelected: true,\r\n    rotation: printableAreaRotation,\r\n    pngHorizontalResolutionDPIs: Math.round(recalculatedHDPI),\r\n    pngVerticalResolutionDPIs: Math.round(recalculatedVDPI),\r\n    smallDetailsResult: payload.smallDetailsResult,\r\n    customerId: payload.customerId,\r\n    fileName: payload.fileName,\r\n    thumbnailUrl: payload.thumbnailUrl,\r\n    originalFileUrl: payload.originalFileUrl,\r\n    pngFileUrl: payload.pngFileUrl,\r\n    pngWidthPixels: payload.pngWidthPixels,\r\n    pngHeightPixels: payload.pngHeightPixels,\r\n    originalWidthMM: payload.originalWidthMM,\r\n    originalHeightMM: payload.originalHeightMM,\r\n    isVectorFileTrueVectorFile: payload.isVectorFileTrueVectorFile,\r\n    spotColorsInOriginalFile: payload.spotColorsInOriginalFile,\r\n    pmsColorsInPngFile: payload.pmsColorsInPngFile.map((color) => ({\r\n      ...color,\r\n      originalName: color.name,\r\n    })),\r\n    customerArtworkId: payload.customerArtworkId,\r\n    pngFile: payload.pngFile,\r\n    personalizationArtworkId: payload.personalizationArtworkId,\r\n    originalHorizontalResolutionDPIs: payload.originalHorizontalResolutionDPIs,\r\n    originalVerticalResolutionDPIs: payload.originalVerticalResolutionDPIs,\r\n    variantArtworkImages: payload.variantArtworkImages,\r\n    xOnProductMM: 0,\r\n    yOnProductMM: 0,\r\n    widthOnProductMM: 0,\r\n    heightOnProductMM: 0,\r\n  };\r\n\r\n  return shapeToAdd;\r\n}\r\n\r\nexport function getCenterShapePosition(\r\n  pngWidthPixels: number,\r\n  pngHeightPixels: number,\r\n  productPrintPosition: any,\r\n  printableArea: PrintArea,\r\n  polygonDetails: any\r\n): {\r\n  x: number;\r\n  y: number;\r\n  width: number;\r\n  height: number;\r\n} {\r\n  const artworkSpaceConsumed = 97; // value in percents\r\n  let calcArtworkWidth = 0;\r\n  let calcArtworkHeight = 0;\r\n  let shapeX = 0;\r\n  let shapeY = 0;\r\n\r\n  const rectLineWidth = (lineWidthV2 * BACKGROUND_IMAGE_W) / 100;\r\n\r\n  const aspectRatioWH = pngWidthPixels / pngHeightPixels;\r\n  const aspectRatioHW = pngHeightPixels / pngWidthPixels;\r\n\r\n  if (printableArea?.kind === 'Rectangle') {\r\n    const areaRect = {\r\n      x: printableArea.x + rectLineWidth / 2,\r\n      y: printableArea.y + rectLineWidth / 2,\r\n      w: printableArea.width - rectLineWidth,\r\n      h: printableArea.height - rectLineWidth,\r\n    };\r\n\r\n    const artworkRatio = pngWidthPixels / pngHeightPixels;\r\n    const areaRatio = areaRect.w / areaRect.h;\r\n\r\n    // Artwork is more landscape than area - fit to width\r\n    if (artworkRatio > areaRatio) {\r\n      calcArtworkWidth = areaRect.w - CORRECTION_FACTOR;\r\n      calcArtworkHeight = (calcArtworkWidth / pngWidthPixels) * pngHeightPixels;\r\n    }\r\n    // Artwork is more portrait than area - fit to height\r\n    else {\r\n      calcArtworkHeight = areaRect.h - CORRECTION_FACTOR;\r\n      calcArtworkWidth = (calcArtworkHeight / pngHeightPixels) * pngWidthPixels;\r\n    }\r\n\r\n    const gapW = areaRect.w - calcArtworkWidth;\r\n    const gapH = areaRect.h - calcArtworkHeight;\r\n\r\n    shapeX = areaRect.x + gapW / 2;\r\n    shapeY = areaRect.y + gapH / 2;\r\n  }\r\n\r\n  if (printableArea?.kind === 'Ellipse') {\r\n    const min =\r\n      printableArea.rx < printableArea.ry ? printableArea.rx : printableArea.ry;\r\n    let size = 0;\r\n    if (Math.abs(printableArea.ry - printableArea.rx) > 630) {\r\n      size = min * 2;\r\n    } else {\r\n      size = min * 1.6;\r\n    }\r\n\r\n    if (aspectRatioWH >= aspectRatioHW) {\r\n      calcArtworkWidth = (size * (artworkSpaceConsumed - 15)) / 100;\r\n      calcArtworkHeight = calcArtworkWidth / aspectRatioWH;\r\n    } else {\r\n      calcArtworkHeight = (size * (artworkSpaceConsumed - 15)) / 100;\r\n      calcArtworkWidth = calcArtworkHeight / aspectRatioHW;\r\n    }\r\n\r\n    shapeX = printableArea.x - calcArtworkWidth / 2;\r\n    shapeY = printableArea.y - calcArtworkHeight / 2;\r\n  }\r\n\r\n  if (printableArea?.kind === 'Polygon') {\r\n    const size = polygonDetails.minDistance;\r\n\r\n    if (aspectRatioWH >= aspectRatioHW) {\r\n      calcArtworkWidth = (size * artworkSpaceConsumed) / 100;\r\n      calcArtworkHeight = calcArtworkWidth / aspectRatioWH;\r\n    } else {\r\n      calcArtworkHeight = (size * artworkSpaceConsumed) / 100;\r\n      calcArtworkWidth = calcArtworkHeight / aspectRatioHW;\r\n    }\r\n\r\n    shapeX = polygonDetails.x - calcArtworkWidth / 2;\r\n    shapeY = polygonDetails.y - calcArtworkHeight / 2;\r\n  }\r\n\r\n  return {\r\n    x: shapeX,\r\n    y: shapeY,\r\n    width: calcArtworkWidth,\r\n    height: calcArtworkHeight,\r\n  };\r\n}\r\n\r\nexport function getShapePositionInPX(\r\n  printArea: ProductPrintArea, \r\n  shapeDistanceFromLeft: number, \r\n  shapeDistanceFromTop: number, \r\n  shapeWidth: number,\r\n  shapeHeight: number,\r\n  scaledArea: PrintArea | undefined\r\n){\r\n  const productPrintAreaPoints = printArea.productPrintAreaPoints;\r\n\r\n  const printPosition = productPrintAreaPoints.find((point) => point.sequenceNo == 1);\r\n\r\n  if (printPosition && scaledArea) {\r\n    const widthAreaInMM = printArea.widthMm;\r\n    const heightAreaInMM = printArea.heightMm;\r\n\r\n    const xInMM = shapeDistanceFromLeft - printPosition.distanceFromLeftEdge;\r\n    const yInMM = shapeDistanceFromTop - printPosition.distanceFromTop;\r\n\r\n    const xInPercentage = (xInMM * 100) / widthAreaInMM;\r\n    const yInPercentage = (yInMM * 100) / heightAreaInMM;\r\n\r\n    if (scaledArea?.kind === \"Rectangle\") {\r\n      const xInPX = ((xInPercentage * scaledArea.width) / 100) + scaledArea.x;\r\n      const yInPX = ((yInPercentage * scaledArea.height) / 100) + scaledArea.y;\r\n\r\n      const widthInPX = (((100 * shapeWidth) / widthAreaInMM) * scaledArea.width) / 100;\r\n      const heightInPX = (((100 * shapeHeight) / heightAreaInMM) * scaledArea.height) / 100;\r\n\r\n      return {xInPX, yInPX, widthInPX, heightInPX};\r\n    }\r\n\r\n    if (scaledArea?.kind === \"Ellipse\") {      \r\n      const xInPX = ((xInPercentage * (scaledArea.rx * 2)) / 100) + (scaledArea.x - scaledArea.rx);\r\n      const yInPX = ((yInPercentage * (scaledArea.ry * 2)) / 100) + (scaledArea.y - scaledArea.ry);\r\n\r\n      const widthInPX = (((100 * shapeWidth) / widthAreaInMM) * (scaledArea.rx * 2)) / 100;\r\n      const heightInPX = (((100 * shapeHeight) / heightAreaInMM) * (scaledArea.ry * 2)) / 100;\r\n\r\n      return {xInPX, yInPX, widthInPX, heightInPX};\r\n    }\r\n  }\r\n\r\n  if (scaledArea?.kind === \"Polygon\") {  \r\n    const minXMM = Math.min(...productPrintAreaPoints.map((printArea) => printArea.distanceFromLeftEdge));\r\n    const maxXMM = Math.max(...productPrintAreaPoints.map((printArea) => printArea.distanceFromLeftEdge));\r\n    const minYMM = Math.min(...productPrintAreaPoints.map((printArea) => printArea.distanceFromTop));\r\n    const maxYMM = Math.max(...productPrintAreaPoints.map((printArea) => printArea.distanceFromTop));\r\n\r\n    const areaWidthInMM = maxXMM - minXMM;\r\n    const areaHeightInMM = maxYMM - minYMM;\r\n\r\n    const xInAreaMM = shapeDistanceFromLeft - minXMM;\r\n    const yInAreaMM = shapeDistanceFromTop - minYMM;\r\n\r\n    const xInPercentage = (xInAreaMM * 100) / areaWidthInMM;\r\n    const yInPercentage = (yInAreaMM * 100) / areaHeightInMM;\r\n\r\n    const minXPX = Math.min(...scaledArea.points.map((x) => x.x));\r\n    const maxXPX = Math.max(...scaledArea.points.map((x) => x.x));\r\n    const minYPX = Math.min(...scaledArea.points.map((x) => x.y));\r\n    const maxYPX = Math.max(...scaledArea.points.map((x) => x.y));\r\n\r\n    const scaledAreaWInPX = maxXPX - minXPX;\r\n    const scaledAreaHInPX = maxYPX - minYPX;\r\n\r\n    const xInPX = ((xInPercentage * scaledAreaWInPX) / 100) + minXPX;\r\n    const yInPX = ((yInPercentage * scaledAreaHInPX) / 100) + minYPX;\r\n\r\n    const widthInPX = (((100 * shapeWidth) / areaWidthInMM) * scaledAreaWInPX) / 100;\r\n    const heightInPX = (((100 * shapeHeight) / areaHeightInMM) * scaledAreaHInPX) / 100;\r\n\r\n    return {xInPX, yInPX, widthInPX, heightInPX};\r\n  }\r\n\r\n  return {xInPX: 0, yInPX: 0, widthInPX: 0, heightInPX: 0}\r\n}\r\n","import _findIndex from 'lodash.findindex';\r\nimport cloneDeep from 'lodash.clonedeep';\r\nimport { Collider2d } from 'collider2d';\r\nimport { defineStore } from 'pinia';\r\nimport {\r\n  LaserConfiguration,\r\n  Personalization,\r\n  PmsColor,\r\n  ProductPrintArea,\r\n} from '@midocean/webapps-shared-domain';\r\nimport {\r\n  ArtworkPayload,\r\n  LogoShape,\r\n  TextShape,\r\n  VariantArtworkImages,\r\n} from '@/web-components/import-wizard/typings/pintura';\r\nimport { v4 as uuidv4 } from 'uuid';\r\nimport { convertToBlob, mm2px, isPercentageValue } from '@/utils/common';\r\nimport { SmallDetailsPayload } from '@/typings';\r\nimport { useStore as useProductStore } from './product';\r\nimport { useStore as useActionsStore } from './action';\r\nimport { useStore as useHistoryStore } from './history';\r\nimport customersAPI from '@/services/CustomersService';\r\nimport { DoSmallDetailsPart } from '@/constants/imageProcessingEngine';\r\nimport {\r\n  AnnotationShape,\r\n  PrintArea,\r\n  RectangleArea,\r\n  Text,\r\n} from '@/web-components/import-wizard-v2/typings/common';\r\nimport {\r\n  getShapePositionInAreainPt,\r\n  getShapePositionOnProductInMM,\r\n} from '@/utils/areaHelper';\r\nimport { ProcessTextCommand, TextAlignment } from '@/typings/SmallDetails';\r\nimport FileService from '@/services/FileService';\r\nimport { base64StringToBlob } from 'blob-util';\r\nimport { positionText } from '@/utils/alignTextV2';\r\nimport { createStateSnapshot } from '@/utils/historyHelperV2';\r\nimport { DefaultSmallDetailsResult } from '@/typings/SmallDetails';\r\nimport { useStore as useShapeBoxSectionStore } from '../shapeBoxSection';\r\nimport { useStore as useColorsManagementStore } from '@/stores/v2/colorsManagement';\r\nimport {\r\n  alignAnnotationShape,\r\n  alignRoundItemAnnotationShape,\r\n} from '@/utils/alignmentHelper';\r\nimport { lineWidthV2 } from '@/constants/areaLineWidth';\r\nimport {\r\n  createShapeFromPayload,\r\n  getCenterShapePosition,\r\n  getShapePositionInPX,\r\n} from '@/utils/shapeHelper';\r\nimport {\r\n  ChangeColorCommand,\r\n  RemoveColorCommand,\r\n  RemoveColorResult,\r\n} from '@/web-components/import-wizard/typings';\r\nimport {\r\n  determineNewWidthPx,\r\n  determineNewHeightPx,\r\n  determineNewWidthMm,\r\n  determineNewHeightMm,\r\n} from '@/utils/common';\r\nimport {\r\n  DoRoundCroppingCommand,\r\n  SetArtworkBackgroundCommand,\r\n} from '@/web-components/import-wizard/typings/colorManagement/colorManagement';\r\nimport {\r\n  BACKGROUND_IMAGE_DPI,\r\n  BACKGROUND_IMAGE_W,\r\n} from '@/web-components/import-wizard-v2/constants';\r\nimport { checkIsInAreaV2 } from '@/utils/collisionHelper';\r\nimport { ProductPrintVariant } from '@midocean/webapps-shared-domain';\r\nimport { ShapeSnapshot } from '@/typings/historyV2';\r\nimport { ProductPrintPanel } from '@/typings/ProductPrintData';\r\nimport { mapSmallDetailsPayload } from '@/components/SmallDetails/utils/helper';\r\n\r\nexport const nonTextShapes = (shape: AnnotationShape): boolean =>\r\n  shape.kind === 'Logo';\r\nexport const textShapes = (shape: AnnotationShape): boolean =>\r\n  shape.kind === 'Text';\r\n\r\nexport const useStore = defineStore({\r\n  id: 'shape',\r\n\r\n  state: () => {\r\n    return {\r\n      activeShapeId: '',\r\n      errors: [],\r\n      collider2d: new Collider2d(),\r\n      shapes: [] as AnnotationShape[],\r\n      positionShapeMap: [] as Record<string, string>[],\r\n      personalization: {} as Personalization,\r\n    };\r\n  },\r\n  getters: {\r\n    positionShapes(state) {\r\n      return (positionId: string) => {\r\n        if (positionId) {\r\n          return state.shapes.filter((s) =>\r\n            state.positionShapeMap.some(\r\n              (psm) => psm.id === positionId && psm.logoId === s.id\r\n            )\r\n          );\r\n        }\r\n        return [];\r\n      };\r\n    },\r\n    shapeById: (state) => {\r\n      return (shapeId: string) => {\r\n        return state.shapes.find((s) => s.id === shapeId);\r\n      };\r\n    },\r\n  },\r\n  actions: {\r\n    async getPersonalization(id: string) {\r\n      try {\r\n        const { data } = await customersAPI.getPersonalization(id);\r\n        this.personalization = data;\r\n      } catch (e) {\r\n        console.log(e);\r\n      }\r\n    },\r\n\r\n    reassignRefs({ from, to }: { from: string; to: string }) {\r\n      if (from === to) {\r\n        return;\r\n      }\r\n      const reassignedFromTo = this.positionShapeMap.map((psm) => {\r\n        return psm.id === from ? { ...psm, id: to } : psm;\r\n      });\r\n\r\n      this.positionShapeMap = reassignedFromTo;\r\n    },\r\n\r\n    replicateShape(shape: AnnotationShape, positionId: string) {\r\n      const productStore = useProductStore();\r\n      const scaledArea = productStore.printPositionArea(positionId, true);\r\n      const productArea = productStore.activePosition.printArea;\r\n\r\n      if (scaledArea && productStore.activePosition && productArea) {\r\n        this.positionShapeMap.push({\r\n          id: positionId,\r\n          logoId: shape.id,\r\n        });\r\n\r\n        const newShapePosition = {\r\n          x: shape.x,\r\n          y: shape.y,\r\n          width: shape.width,\r\n          height: shape.height,\r\n        };\r\n        const positionOnAreaInPt = getShapePositionInAreainPt(\r\n          newShapePosition,\r\n          scaledArea\r\n        );\r\n\r\n        const productArea = productStore.activePosition.printArea;\r\n\r\n        if (positionOnAreaInPt) {\r\n          const positionOnProductInMM = getShapePositionOnProductInMM(\r\n            positionOnAreaInPt,\r\n            productArea,\r\n            newShapePosition.width / newShapePosition.height\r\n          );\r\n\r\n          if (positionOnProductInMM) {\r\n            shape.xOnProductMM = positionOnProductInMM?.xOnProductMM;\r\n            shape.yOnProductMM = positionOnProductInMM?.yOnProductMM;\r\n          }\r\n        }\r\n\r\n        const colorManagementStore = useColorsManagementStore();\r\n        if (\r\n          shape.kind === 'Logo' &&\r\n          colorManagementStore.lastPalette !== 'ALL'\r\n        ) {\r\n          colorManagementStore.changeToClosestPantonesFromPalette(shape);\r\n        }\r\n\r\n        if (productStore.selectedPrintPosition.techniqueId) {\r\n          this.applyEffectIfNeeded(\r\n            productStore.selectedPrintPosition.id,\r\n            productStore.selectedPrintPosition.techniqueId,\r\n            shape\r\n          );\r\n        }\r\n\r\n        this.shapes.push(cloneDeep(shape));\r\n      }\r\n    },\r\n\r\n    async addArtworkPayload(\r\n      artworkPayload: ArtworkPayload,\r\n      positionId: string\r\n    ) {\r\n      const productStore = useProductStore();\r\n      const printableAreaRotation = productStore.rotation;\r\n      const scaledArea = productStore.printPositionArea(positionId, true);\r\n      const activePosition = productStore.getProductPrintPosition(positionId);\r\n      const productArea = activePosition?.printArea;\r\n\r\n      if (scaledArea && activePosition && productArea) {\r\n        const polygonDetails = productStore.polygonDetails(activePosition.id);\r\n        const shapePayload = createShapeFromPayload(\r\n          artworkPayload,\r\n          scaledArea,\r\n          printableAreaRotation,\r\n          activePosition,\r\n          polygonDetails\r\n        );\r\n\r\n        this.shapes.push(shapePayload);\r\n        this.selectShape(shapePayload.id);\r\n        this.positionShapeMap.push({\r\n          id: positionId,\r\n          logoId: shapePayload.id,\r\n        });\r\n\r\n        this.checkIsShapeInArea(shapePayload.id);\r\n\r\n        const colorManagementStore = useColorsManagementStore();\r\n        if (\r\n          shapePayload.kind === 'Logo' &&\r\n          colorManagementStore.lastPalette !== 'ALL'\r\n        ) {\r\n          colorManagementStore.changeToClosestPantonesFromPalette(shapePayload);\r\n        }\r\n\r\n        this.updateShapePosition(shapePayload, scaledArea, productArea);\r\n\r\n        if (productStore.selectedPrintPosition.techniqueId) {\r\n          await this.applyEffectIfNeeded(\r\n            productStore.selectedPrintPosition.id,\r\n            productStore.selectedPrintPosition.techniqueId,\r\n            shapePayload\r\n          );\r\n        }\r\n      }\r\n    },\r\n\r\n    async updateColorsAfterImageIsAdjusted(\r\n      shapeId: string,\r\n      doTrimming: boolean\r\n    ) {\r\n      const idx = this.shapes.findIndex((p) => p.id === shapeId);\r\n      const shape = this.shapes[idx];\r\n      if (shape.kind === 'Logo') {\r\n        const { data } = await FileService.detectColors(\r\n          shape.pngFileWithoutConverters,\r\n          doTrimming\r\n        );\r\n\r\n        const colorManagementStore = useColorsManagementStore();\r\n        colorManagementStore.changeColorsToClosestPantonesFromPalette(\r\n          data.colors\r\n        );\r\n\r\n        shape.pmsColorsInPngFile = shape.pmsColorsInPngFile.filter((x) =>\r\n          data.colors.some((color) => color.name === x.name)\r\n        );\r\n\r\n        const widthScaleFactor = shape.pngWidthPixels / data.widthInPx;\r\n        const heightScaleFactor = shape.pngHeightPixels / data.heightInPx;\r\n        const newWidth = shape.width / widthScaleFactor;\r\n        const newHeight = shape.height / heightScaleFactor;\r\n        const newWidthMM = shape.widthOnProductMM / widthScaleFactor;\r\n        const newHeightMM = shape.heightOnProductMM / heightScaleFactor;\r\n\r\n        shape.width = newWidth;\r\n        shape.height = newHeight;\r\n        shape.widthOnProductMM = newWidthMM;\r\n        shape.heightOnProductMM = newHeightMM;\r\n        shape.aspectRatio = newWidth / newHeight;\r\n        shape.pngWidthPixels = data.widthInPx;\r\n        shape.pngHeightPixels = data.heightInPx;\r\n        shape.backgroundImage = URL.createObjectURL(\r\n          base64StringToBlob(data.trimmedImageBase64, 'image/png')\r\n        );\r\n        shape.pngFile = base64StringToBlob(\r\n          data.trimmedImageBase64,\r\n          'image/png'\r\n        );\r\n        shape.pngFileWithoutConverters = base64StringToBlob(\r\n          data.trimmedImageBase64,\r\n          'image/png'\r\n        );\r\n      }\r\n    },\r\n\r\n    async alignShape(shapeId: string, alignmentType: string) {\r\n      const shape = this.shapes.find((s) => s.id === shapeId);\r\n      const productStore = useProductStore();\r\n\r\n      if (shape !== undefined && productStore.activePosition.id) {\r\n        const rectLineWidth = (lineWidthV2 * BACKGROUND_IMAGE_W) / 100;\r\n\r\n        const { width, height } = shape;\r\n\r\n        const printableAreaRotation = productStore.rotation;\r\n        const scaledArea = productStore.printPositionArea(\r\n          productStore.activePosition.id,\r\n          true\r\n        );\r\n        const productArea = productStore.activePosition.printArea;\r\n        const polygonDetails = productStore.polygonDetails(\r\n          productStore.activePosition.id\r\n        );\r\n\r\n        if (scaledArea) {\r\n          alignAnnotationShape(\r\n            rectLineWidth,\r\n            shape,\r\n            scaledArea,\r\n            printableAreaRotation,\r\n            alignmentType,\r\n            width,\r\n            height,\r\n            polygonDetails\r\n          );\r\n          this.updateShapePosition(shape, scaledArea, productArea);\r\n        }\r\n      }\r\n    },\r\n\r\n    alignRoundItemShape(\r\n      shapeId: string,\r\n      panelArea: ProductPrintPanel,\r\n      alignmentType: string\r\n    ) {\r\n      const productStore = useProductStore();\r\n      const printableAreaRotation = productStore.rotation;\r\n      const shape = this.shapes.find((s) => s.id === shapeId);\r\n\r\n      if (shape !== undefined && productStore.activePosition.id) {\r\n        const rectLineWidth = (lineWidthV2 * BACKGROUND_IMAGE_W) / 100;\r\n\r\n        const scaledArea = productStore.printPositionArea(\r\n          productStore.activePosition.id,\r\n          true\r\n        );\r\n        const productArea = productStore.activePosition.printArea;\r\n\r\n        if (scaledArea) {\r\n          const newShapePosition = alignRoundItemAnnotationShape(\r\n            shape,\r\n            panelArea,\r\n            alignmentType,\r\n            scaledArea,\r\n            printableAreaRotation,\r\n            rectLineWidth\r\n          );\r\n\r\n          this.updateShapePosition(newShapePosition, scaledArea, productArea);\r\n        }\r\n      }\r\n    },\r\n\r\n    async initializeStateFromPersonalization() {\r\n      const productStore = useProductStore();\r\n      const actionStore = useActionsStore();\r\n\r\n      const printPositions =\r\n        this.personalization.proofs[0].productPrintPositions;\r\n\r\n      for (const pos of printPositions) {\r\n        const product = productStore.data.productPrintPositions.find(\r\n          (p) => p.name === pos.name\r\n        );\r\n        const positionID = product?.id;\r\n\r\n        if (positionID) {\r\n          const printArea = productStore.getProductPrintPosition(positionID);\r\n\r\n          const scaledArea = productStore.printPositionArea(positionID, true);\r\n\r\n          const originalDPI = product?.originalImageWebDpi as number;\r\n\r\n          let mappedArtworkIds: Record<string, string>[] =\r\n            pos.personalizationArtworks.map((a) => {\r\n              return {\r\n                id: positionID,\r\n                logoId: a.id,\r\n              } as Record<string, string>;\r\n            });\r\n\r\n          this.positionShapeMap = [\r\n            ...this.positionShapeMap,\r\n            ...mappedArtworkIds,\r\n          ];\r\n          mappedArtworkIds = [];\r\n\r\n          const isLaserConverter = productStore.isLaserConverter(\r\n            positionID,\r\n            pos.productPrintTechnique.sapCode\r\n          );\r\n          const isDebossing = productStore.isDebossingTechnique(\r\n            positionID,\r\n            pos.productPrintTechnique.sapCode\r\n          );\r\n\r\n          if (printArea) {\r\n            for (const a of pos.personalizationArtworks) {\r\n              const imageBlob = await convertToBlob(a.pngFileUrl);\r\n\r\n              const shapePosition = getShapePositionInPX(\r\n                printArea.printArea,\r\n                a.distanceFromLeftWithCropping,\r\n                a.distanceFromTopWithCropping,\r\n                a.widthWithCropping,\r\n                a.heightWithCropping,\r\n                scaledArea\r\n              );\r\n\r\n              const xInPX = shapePosition.xInPX;\r\n              const yInPX = shapePosition.yInPX;\r\n              const widthInPX = shapePosition.widthInPX;\r\n              const heightInPX = shapePosition.heightInPX;\r\n\r\n              let variantArtworkImages: VariantArtworkImages[] = [];\r\n\r\n              if (isLaserConverter || isDebossing) {\r\n                variantArtworkImages = await Promise.all(\r\n                  a.variantArtworkImages.map(async (vi) => {\r\n                    const imageBlob = await convertToBlob(\r\n                      vi.variantArtworkPngUrl\r\n                    );\r\n                    return {\r\n                      variantColor: vi.variantColor,\r\n                      variantArtworkPng: imageBlob,\r\n                    } as VariantArtworkImages;\r\n                  })\r\n                );\r\n              }\r\n\r\n              let smallDetailsPayload: SmallDetailsPayload | undefined =\r\n                undefined;\r\n\r\n              if (DoSmallDetailsPart) {\r\n                const isSmallDetailsTechnique =\r\n                  productStore.isSmallDetailsTechnique(\r\n                    positionID,\r\n                    pos.productPrintTechnique.sapCode\r\n                  );\r\n                if (a.smallDetails) {\r\n                  smallDetailsPayload = {\r\n                    negativeDetailsLoss: a.smallDetails.negativeLoss,\r\n                    positiveDetailsLoss: a.smallDetails.positiveLoss,\r\n                    status: a.smallDetails.status,\r\n                    approvedAt: a.smallDetails.approvedAt\r\n                      ? a.smallDetails.approvedAt.toString()\r\n                      : undefined,\r\n                    isCheckValid: true,\r\n                    pngFile: a.smallDetails.fileUrl,\r\n                    pngFileBlob: await convertToBlob(a.smallDetails.fileUrl),\r\n                    calculatedQuality: a.smallDetails.calculatedQuality,\r\n                    id: a.id,\r\n                  };\r\n                }\r\n\r\n                if (isSmallDetailsTechnique && a.smallDetails === null) {\r\n                  smallDetailsPayload = {\r\n                    negativeDetailsLoss: 0,\r\n                    positiveDetailsLoss: 0,\r\n                    status: 'NoCheck',\r\n                    approvedAt: undefined,\r\n                    isCheckValid: true,\r\n                    pngFile: '',\r\n                    pngFileBlob: new Blob(),\r\n                    calculatedQuality: 0,\r\n                    id: a.id,\r\n                  };\r\n                }\r\n              }\r\n\r\n              this.shapes.push({\r\n                zindex: a.zIndex,\r\n                isRoundLogo: a.isRoundLogo,\r\n                id: a.id,\r\n                pngFile:\r\n                  variantArtworkImages.find(\r\n                    (v) =>\r\n                      v.variantColor === productStore.selectedVariant.colour\r\n                  )?.variantArtworkPng || imageBlob,\r\n                pngFileWithoutConverters: imageBlob,\r\n                title: a.title !== null ? a.title : '',\r\n                originalFileUrl: a.originalFileUrl,\r\n                originalHorizontalResolutionDPIs:\r\n                  a.originalHorizontalResolutionDPIs,\r\n                originalVerticalResolutionDPIs:\r\n                  a.originalVerticalResolutionDPIs,\r\n                pngHorizontalResolutionDPIs: a.pngHorizontalResolutionDPIs,\r\n                pngVerticalResolutionDPIs: a.pngVerticalResolutionDPIs,\r\n                pngHeightPixels: a.pngHeightPixels,\r\n                pngWidthPixels: a.pngWidthPixels,\r\n                pmsColorsInPngFile: a.pmsColorsInPngFile as PmsColor[],\r\n                personalizationArtworkId: a.id,\r\n                customerId: '',\r\n                fileName: a.fileName,\r\n                originalHeightMM: a.originalHeightMM,\r\n                originalWidthMM: a.originalWidthMM,\r\n                thumbnailUrl: '',\r\n                pngFileUrl: a.pngFileUrl,\r\n                isVectorFileTrueVectorFile: a.isVectorFileTrueVectorFile,\r\n                spotColorsInOriginalFile: [],\r\n                customerArtworkId: '',\r\n                processed: '',\r\n                x: xInPX,\r\n                y: yInPX,\r\n                width: widthInPX,\r\n                height: heightInPX,\r\n                rotation: (a.rotationAngle * Math.PI) / 180,\r\n                aspectRatio: widthInPX / heightInPX,\r\n                backgroundImage: URL.createObjectURL(imageBlob),\r\n                smallDetailsResult: smallDetailsPayload,\r\n                isInArea: true,\r\n                isSelected: false,\r\n                alignedTo: '',\r\n                variantArtworkImages: variantArtworkImages,\r\n                kind: 'Logo',\r\n                widthOnProductMM: a.widthWithCropping,\r\n                heightOnProductMM: a.heightWithCropping,\r\n                xOnProductMM: a.distanceFromLeftWithCropping,\r\n                yOnProductMM: a.distanceFromTopWithCropping,\r\n              } as AnnotationShape);\r\n\r\n              actionStore.initializeUserActionForArtwork(a.id, a.userActions);\r\n            }\r\n\r\n            for (const t of pos.personalizationTexts) {\r\n              const imageBlob = await convertToBlob(t.pngFileUrl);\r\n\r\n              const shapePosition = getShapePositionInPX(\r\n                printArea.printArea,\r\n                t.distanceFromLeft,\r\n                t.distanceFromTop,\r\n                t.width,\r\n                t.height,\r\n                scaledArea\r\n              );\r\n\r\n              const xInPX = shapePosition.xInPX;\r\n              const yInPX = shapePosition.yInPX;\r\n              const widthInPX = shapePosition.widthInPX;\r\n              const heightInPX = shapePosition.heightInPX;\r\n\r\n              const isLaserConverter = productStore.isLaserConverter(\r\n                positionID,\r\n                pos.productPrintTechnique.sapCode\r\n              );\r\n\r\n              let smallDetailsPayload: SmallDetailsPayload | undefined =\r\n                undefined;\r\n\r\n              if (DoSmallDetailsPart && t.smallDetails) {\r\n                smallDetailsPayload = {\r\n                  negativeDetailsLoss: t.smallDetails.negativeLoss,\r\n                  positiveDetailsLoss: t.smallDetails.positiveLoss,\r\n                  status: t.smallDetails.status,\r\n                  approvedAt: t.smallDetails.approvedAt\r\n                    ? t.smallDetails.approvedAt.toString()\r\n                    : undefined,\r\n                  isCheckValid: true,\r\n                  pngFile: t.smallDetails.fileUrl,\r\n                  pngFileBlob: await convertToBlob(t.smallDetails.fileUrl),\r\n                  calculatedQuality: t.smallDetails.calculatedQuality,\r\n                  id: t.id,\r\n                };\r\n              }\r\n              let colorArray = [];\r\n              if (isLaserConverter) {\r\n                const techniqueId = product?.printTechniques.find(\r\n                  (x) =>\r\n                    x.printTechnique.code === pos.productPrintTechnique.sapCode\r\n                )?.id;\r\n\r\n                const laserColor = productStore.laserVariantColor(\r\n                  product?.id as string,\r\n                  techniqueId as string,\r\n                  productStore.selectedVariant.sku\r\n                );\r\n                const { red: r, green: g, blue: b } = laserColor.laserColor;\r\n                colorArray = [r, g, b];\r\n              } else {\r\n                const { red: r, green: g, blue: b } = t.pmsColorInfo;\r\n                colorArray = [r, g, b];\r\n              }\r\n\r\n              let variantArtworkImages: VariantArtworkImages[] = [];\r\n              if (isLaserConverter || isDebossing) {\r\n                variantArtworkImages = await Promise.all(\r\n                  t.variantArtworkImages.map(async (vi) => {\r\n                    const imageBlob = await convertToBlob(\r\n                      vi.variantArtworkPngUrl\r\n                    );\r\n                    return {\r\n                      variantColor: vi.variantColor,\r\n                      variantArtworkPng: imageBlob,\r\n                    } as VariantArtworkImages;\r\n                  })\r\n                );\r\n              }\r\n\r\n              this.positionShapeMap = [\r\n                ...this.positionShapeMap,\r\n                { id: positionID, logoId: t.id } as Record<string, string>,\r\n              ];\r\n\r\n              const newShape = {\r\n                zindex: t.zIndex,\r\n                isRoundLogo: false,\r\n                id: t.id,\r\n                width: widthInPX,\r\n                height: heightInPX,\r\n                x: xInPX,\r\n                y: yInPX,\r\n                rotation: (t.rotationAngle * Math.PI) / 180,\r\n                title: t.text,\r\n                disableInput: true,\r\n                smallDetailsResult: smallDetailsPayload,\r\n                isInArea: true,\r\n                isSelected: false,\r\n                kind: 'Text',\r\n                backgroundImage: URL.createObjectURL(imageBlob),\r\n                pngFile:\r\n                  (variantArtworkImages.find(\r\n                    (v) =>\r\n                      v.variantColor === productStore.selectedVariant.colour\r\n                  )?.variantArtworkPng as Blob) || imageBlob,\r\n                pngFileWithoutConverters: imageBlob,\r\n                xOnProductMM: t.distanceFromLeft,\r\n                yOnProductMM: t.distanceFromTop,\r\n                widthOnProductMM: t.width,\r\n                heightOnProductMM: t.height,\r\n                variantArtworkImages: variantArtworkImages,\r\n                originalWidthMM: t.originalHeightMM,\r\n                originalHeightMM: t.originalWidthMM,\r\n                disableResize: true,\r\n                w2pText: {\r\n                  text: t.text,\r\n                  textHtml: t.textHtml,\r\n                  fontSizePT: Number(t.fontSize),\r\n                  fontSize: t.fontSize * (originalDPI / 72),\r\n                  fontWeight: t.bold ? 'bold' : 'normal',\r\n                  fontStyle: t.italic ? 'italic' : 'normal',\r\n                  fontFamily: t.font,\r\n                  textAlign: t.textAlignement.toLowerCase(),\r\n                  colorName: t.pmsColorInfo.name,\r\n                  color: colorArray,\r\n                  fontVariant: '',\r\n                } as Text,\r\n              } as TextShape;\r\n\r\n              // generate the image for old personalizationtext\r\n              this.shapes.push(newShape as AnnotationShape);\r\n            }\r\n          }\r\n          this.shapes.sort((a, b) => a.zindex - b.zindex);\r\n        }\r\n      }\r\n    },\r\n\r\n    removeShapesForPosition(positionId: string) {\r\n      const shapesToDelete = this.positionShapeMap.filter((psm) => {\r\n        return psm.id === positionId;\r\n      });\r\n\r\n      shapesToDelete.forEach((x) => {\r\n        this.removeShape(x.logoId);\r\n      });\r\n    },\r\n\r\n    removeShape(id: string) {\r\n      this.deselectShape();\r\n\r\n      this.shapes = this.shapes.filter((s) => {\r\n        return s.id !== id;\r\n      });\r\n\r\n      this.positionShapeMap = this.positionShapeMap.filter((psm) => {\r\n        return psm.logoId !== id;\r\n      });\r\n    },\r\n\r\n    duplicateShape(shapeId: string) {\r\n      const productStore = useProductStore();\r\n      const shape = this.shapes.find((x) => x.id === shapeId);\r\n      if (shape) {\r\n        shape.isSelected = false;\r\n        const id = uuidv4();\r\n        this.replicateShape(\r\n          {\r\n            ...shape,\r\n            isSelected: true,\r\n            id: id,\r\n            personalizationArtworkId: id,\r\n            x: shape.x + 30,\r\n            y: shape.y - 30,\r\n          } as AnnotationShape,\r\n          productStore.selectedPrintPosition.id\r\n        );\r\n        this.activeShapeId = id;\r\n        this.checkIsShapeInArea(id);\r\n      }\r\n    },\r\n\r\n    deselectShape() {\r\n      const shapeBoxSectionStore = useShapeBoxSectionStore();\r\n      shapeBoxSectionStore.resetIsValidInput();\r\n      const currentIndex = this.shapes.findIndex(\r\n        (s) => s.id === this.activeShapeId\r\n      );\r\n\r\n      if (currentIndex !== -1) {\r\n        this.$patch((state) => {\r\n          const current = state.shapes[currentIndex];\r\n          if (current.kind === 'Text' && current.w2pText.text === '') {\r\n            this.shapes = this.shapes.filter((s) => {\r\n              return s.id !== current.id;\r\n            });\r\n            this.positionShapeMap = this.positionShapeMap.filter((psm) => {\r\n              return psm.logoId !== current.id;\r\n            });\r\n          } else {\r\n            state.shapes.splice(currentIndex, 1);\r\n            state.shapes.push({\r\n              ...current,\r\n              isSelected: false,\r\n            });\r\n          }\r\n          state.activeShapeId = '';\r\n        });\r\n      }\r\n    },\r\n\r\n    updateShapePosition(\r\n      shape: AnnotationShape,\r\n      scaledArea: PrintArea,\r\n      productPrintArea: ProductPrintArea,\r\n      positionShape = false\r\n    ) {\r\n      const originalShapeIdx = this.shapes.findIndex((x) => x.id === shape.id);\r\n\r\n      if (originalShapeIdx !== -1) {\r\n        let newShapePosition = {\r\n          x: shape.x,\r\n          y: shape.y,\r\n          width: shape.width,\r\n          height: shape.height,\r\n        };\r\n        if (shape.kind === 'Logo' && positionShape) {\r\n          const productStore = useProductStore();\r\n          const positionId = this.positionShapeMap.find(\r\n            (x) => x.logoId === shape.id\r\n          )?.id;\r\n\r\n          if (positionId) {\r\n            const position = productStore.getProductPrintPosition(positionId);\r\n\r\n            if (position) {\r\n              newShapePosition = getCenterShapePosition(\r\n                shape.pngWidthPixels,\r\n                shape.pngHeightPixels,\r\n                position,\r\n                scaledArea,\r\n                productStore.polygonDetails\r\n              );\r\n            }\r\n          }\r\n        }\r\n        if (shape.kind === 'Text' && positionShape) {\r\n          if (shape.widthOnProductMM !== 0 && shape.heightOnProductMM !== 0) {\r\n            const productStore = useProductStore();\r\n            const positionId = this.positionShapeMap.find(\r\n              (x) => x.logoId === shape.id\r\n            )?.id;\r\n\r\n            if (positionId) {\r\n              const position = productStore.getProductPrintPosition(positionId);\r\n\r\n              if (position) {\r\n                newShapePosition = getCenterShapePosition(\r\n                  shape.width,\r\n                  shape.height,\r\n                  position,\r\n                  scaledArea,\r\n                  productStore.polygonDetails\r\n                );\r\n\r\n                //Calculate width in percentage, based on area width in mm and text width in mm\r\n                const widthPercentageOfArea =\r\n                  shape.widthOnProductMM / productPrintArea.widthMm;\r\n\r\n                //Calculate width in percentage, based on area width in px and text width in px\r\n                const positionOnAreaInPt = getShapePositionInAreainPt(\r\n                  {\r\n                    x: shape.x,\r\n                    y: shape.y,\r\n                    height: shape.height,\r\n                    width: shape.width,\r\n                  },\r\n                  scaledArea\r\n                );\r\n\r\n                if (positionOnAreaInPt) {\r\n                  //Calculate scale factor based on diference in widths in percentage\r\n                  const scaleFactorOnNewPosition =\r\n                    (widthPercentageOfArea * 100) / positionOnAreaInPt?.width;\r\n\r\n                  //Calculate new width and height in pixels\r\n                  shape.width = scaleFactorOnNewPosition * shape.width;\r\n                  shape.height = scaleFactorOnNewPosition * shape.height;\r\n\r\n                  //Use center found with getCenterShapePosition and calculate new x and y\r\n                  const centerX =\r\n                    newShapePosition.x + newShapePosition.width / 2;\r\n                  const centerY =\r\n                    newShapePosition.y + newShapePosition.height / 2;\r\n                  shape.x = centerX - shape.width / 2;\r\n                  shape.y = centerY - shape.height / 2;\r\n\r\n                  //Reset newShapePosition with calculated values\r\n                  newShapePosition = {\r\n                    x: shape.x,\r\n                    y: shape.y,\r\n                    width: shape.width,\r\n                    height: shape.height,\r\n                  };\r\n                }\r\n              }\r\n            }\r\n          }\r\n        }\r\n\r\n        const positionOnAreaInPt = getShapePositionInAreainPt(\r\n          newShapePosition,\r\n          scaledArea\r\n        );\r\n\r\n        if (positionOnAreaInPt) {\r\n          const positionOnProductInMM = getShapePositionOnProductInMM(\r\n            positionOnAreaInPt,\r\n            productPrintArea,\r\n            newShapePosition.width / newShapePosition.height\r\n          );\r\n\r\n          if (positionOnProductInMM) {\r\n            this.$patch((state) => {\r\n              const current = state.shapes[originalShapeIdx];\r\n              state.shapes.splice(originalShapeIdx, 1, {\r\n                ...current,\r\n                isInArea: positionShape ? true : current.isInArea,\r\n                x: newShapePosition.x,\r\n                y: newShapePosition.y,\r\n                width: newShapePosition.width,\r\n                height: newShapePosition.height,\r\n                xOnProductMM: positionOnProductInMM.xOnProductMM,\r\n                yOnProductMM: positionOnProductInMM.yOnProductMM,\r\n                widthOnProductMM: positionOnProductInMM.widthOnProductMM,\r\n                heightOnProductMM: positionOnProductInMM.heightOnProductMM,\r\n                rotation: positionShape ? 0 : current.rotation,\r\n              });\r\n            });\r\n          }\r\n        }\r\n      }\r\n    },\r\n\r\n    setSmallDetailsCheckToInvalid2(shapeId: string) {\r\n      const currentShapeIndex = _findIndex(this.shapes, {\r\n        id: shapeId,\r\n      });\r\n      const activeShape = this.shapes[currentShapeIndex];\r\n\r\n      const smallDetails = activeShape.smallDetailsResult\r\n        ? { ...activeShape.smallDetailsResult, isCheckValid: false }\r\n        : undefined;\r\n\r\n      if (currentShapeIndex > -1) {\r\n        this.$patch((state) => {\r\n          activeShape.smallDetailsResult = smallDetails;\r\n        });\r\n      }\r\n    },\r\n\r\n    setSmallDetailsCheckToInvalid(shapeId: string) {\r\n      const currentShapeIndex = _findIndex(this.shapes, {\r\n        id: shapeId,\r\n      });\r\n      const activeShape = this.shapes[currentShapeIndex];\r\n\r\n      const smallDetails = activeShape.smallDetailsResult\r\n        ? { ...activeShape.smallDetailsResult, isCheckValid: false }\r\n        : undefined;\r\n\r\n      if (currentShapeIndex > -1) {\r\n        this.$patch((state) => {\r\n          state.shapes.splice(currentShapeIndex, 1, {\r\n            ...state.shapes[currentShapeIndex],\r\n            smallDetailsResult: smallDetails,\r\n          });\r\n        });\r\n      }\r\n    },\r\n\r\n    setSmallDetailsCheckToDefault(shapeId: string) {\r\n      const currentShapeIndex = _findIndex(this.shapes, {\r\n        id: shapeId,\r\n      });\r\n\r\n      if (currentShapeIndex > -1) {\r\n        this.$patch((state) => {\r\n          state.shapes.splice(currentShapeIndex, 1, {\r\n            ...state.shapes[currentShapeIndex],\r\n            smallDetailsResult: {\r\n              ...DefaultSmallDetailsResult,\r\n              isCheckValid: false,\r\n            },\r\n          });\r\n        });\r\n      }\r\n    },\r\n\r\n    resetSmallDetailsResult(shapeId: string, isSmallDetailsTech: boolean) {\r\n      const shapeIdx = this.shapes.findIndex((p) => p.id === shapeId);\r\n\r\n      const smallDetails = mapSmallDetailsPayload(\r\n        this.shapes[shapeIdx],\r\n        isSmallDetailsTech\r\n      );\r\n\r\n      this.shapes.splice(shapeIdx, 1, {\r\n        ...this.shapes[shapeIdx],\r\n        smallDetailsResult: smallDetails,\r\n      });\r\n    },\r\n\r\n    transformShape(key: string, value: number) {\r\n      const currentShapeIndex = _findIndex(this.shapes, {\r\n        id: this.activeShapeId,\r\n      });\r\n\r\n      const activeShape = this.shapes[currentShapeIndex];\r\n\r\n      if (activeShape.kind === 'Logo' && key === 'width') {\r\n        const newHeightMm = determineNewHeightMm(\r\n          activeShape.width,\r\n          activeShape.height,\r\n          value\r\n        );\r\n        const newWidthPx = determineNewWidthPx(\r\n          activeShape.width,\r\n          activeShape.widthOnProductMM,\r\n          value\r\n        );\r\n        const newHeightPx = determineNewHeightPx(\r\n          activeShape.height,\r\n          activeShape.heightOnProductMM,\r\n          newHeightMm\r\n        );\r\n\r\n        this.setSmallDetailsCheckToInvalid(activeShape.id);\r\n\r\n        if (currentShapeIndex > -1) {\r\n          this.$patch((state) => {\r\n            state.shapes.splice(currentShapeIndex, 1, {\r\n              ...state.shapes[currentShapeIndex],\r\n              width: newWidthPx,\r\n              height: newHeightPx,\r\n              widthOnProductMM: value,\r\n              heightOnProductMM: newHeightMm,\r\n            });\r\n          });\r\n        }\r\n      }\r\n\r\n      if (activeShape.kind === 'Logo' && key === 'height') {\r\n        const newWidthMm = determineNewWidthMm(\r\n          activeShape.width,\r\n          activeShape.height,\r\n          value\r\n        );\r\n        const newWidthPx = determineNewWidthPx(\r\n          activeShape.width,\r\n          activeShape.widthOnProductMM,\r\n          newWidthMm\r\n        );\r\n        const newHeightPx = determineNewHeightPx(\r\n          activeShape.height,\r\n          activeShape.heightOnProductMM,\r\n          value\r\n        );\r\n\r\n        this.setSmallDetailsCheckToInvalid(activeShape.id);\r\n\r\n        if (currentShapeIndex > -1) {\r\n          this.$patch((state) => {\r\n            state.shapes.splice(currentShapeIndex, 1, {\r\n              ...state.shapes[currentShapeIndex],\r\n              height: newHeightPx,\r\n              width: newWidthPx,\r\n              widthOnProductMM: newWidthMm,\r\n              heightOnProductMM: value,\r\n            });\r\n          });\r\n        }\r\n      }\r\n      if (key === 'rotation') {\r\n        const rotation = (value * Math.PI) / 180;\r\n        this.$patch((state) => {\r\n          state.shapes.splice(currentShapeIndex, 1, {\r\n            ...state.shapes[currentShapeIndex],\r\n            rotation,\r\n          });\r\n        });\r\n      }\r\n\r\n      this.checkIsShapeInArea(this.activeShapeId);\r\n    },\r\n    async makeLogoRound() {\r\n      const productStore = useProductStore();\r\n      const actionsStore = useActionsStore();\r\n\r\n      const currentShapeIndex = _findIndex(this.shapes, {\r\n        id: this.activeShapeId,\r\n      });\r\n      const activeShape = this.shapes[currentShapeIndex];\r\n\r\n      const command: DoRoundCroppingCommand = {\r\n        croppingAreaAspectRatioX: '1',\r\n        croppingAreaAspectRatioY:\r\n          (productStore.activePosition.printArea?.heightMm as number) /\r\n          (productStore.activePosition.printArea?.widthMm as number),\r\n      };\r\n      try {\r\n        if (\r\n          activeShape.kind === 'Logo' &&\r\n          productStore.activePosition.id &&\r\n          productStore.selectedPrintPosition.techniqueId\r\n        ) {\r\n          const { data } = await FileService.roundCropping(\r\n            activeShape.pngFileWithoutConverters as Blob,\r\n            command\r\n          );\r\n\r\n          const affectedShape = this.shapes[currentShapeIndex];\r\n\r\n          const smallDetailsResult = affectedShape.smallDetailsResult\r\n            ? {\r\n                ...affectedShape.smallDetailsResult,\r\n                isCheckValid: false,\r\n              }\r\n            : undefined;\r\n\r\n          //Calculate position and size that will fill area:\r\n          const {\r\n            originalImageWebDpi,\r\n            originalImageWidthPx,\r\n            originalImageDpi,\r\n          } = productStore.activePosition;\r\n          const webImageWidthPx =\r\n            originalImageWidthPx &&\r\n            originalImageWebDpi &&\r\n            originalImageDpi &&\r\n            (originalImageWidthPx * originalImageWebDpi) / originalImageDpi;\r\n          const rectLineWidth =\r\n            (lineWidthV2 * (webImageWidthPx as number)) / 100;\r\n\r\n          const scaledArea = productStore.printPositionArea(\r\n            productStore.activePosition.id,\r\n            true\r\n          );\r\n          const productArea = productStore.activePosition.printArea;\r\n\r\n          if (scaledArea && scaledArea.kind === 'Ellipse') {\r\n            const areaRect = {\r\n              x: scaledArea.x - scaledArea.rx + rectLineWidth / 2,\r\n              y: scaledArea.y - scaledArea.ry + rectLineWidth / 2,\r\n              w: scaledArea.rx * 2 - rectLineWidth,\r\n              h: scaledArea.ry * 2 - rectLineWidth,\r\n            };\r\n\r\n            let calcArtworkWidth = 0;\r\n            let calcArtworkHeight = 0;\r\n            const CORRECTION_FACTOR = 0;\r\n            const artworkRatio = data.newWidth / data.newHeight;\r\n            const areaRatio = areaRect.w / areaRect.h;\r\n            // Artwork is more landscape than area - fit to width\r\n            if (artworkRatio > areaRatio) {\r\n              calcArtworkWidth = areaRect.w - CORRECTION_FACTOR;\r\n              calcArtworkHeight =\r\n                (calcArtworkWidth / data.newWidth) * data.newHeight;\r\n            }\r\n            // Artwork is more portrait than area - fit to height\r\n            else {\r\n              calcArtworkHeight = areaRect.h - CORRECTION_FACTOR;\r\n              calcArtworkWidth =\r\n                (calcArtworkHeight / data.newHeight) * data.newWidth;\r\n            }\r\n\r\n            //Calculate percentage croppend from each edge\r\n            actionsStore.createCropAction(this.activeShapeId, {\r\n              left:\r\n                data.newWidth == activeShape.pngWidthPixels\r\n                  ? 0\r\n                  : ((activeShape.pngWidthPixels - data.newWidth / 2) /\r\n                      activeShape.pngWidthPixels) *\r\n                    100,\r\n              right:\r\n                data.newWidth == activeShape.pngWidthPixels\r\n                  ? 0\r\n                  : ((activeShape.pngWidthPixels - data.newWidth / 2) /\r\n                      activeShape.pngWidthPixels) *\r\n                    100,\r\n              top:\r\n                data.newHeight == activeShape.pngHeightPixels\r\n                  ? 0\r\n                  : ((activeShape.pngHeightPixels - data.newHeight / 2) /\r\n                      activeShape.pngHeightPixels) *\r\n                    100,\r\n              bottom:\r\n                data.newHeight == activeShape.pngHeightPixels\r\n                  ? 0\r\n                  : ((activeShape.pngHeightPixels - data.newHeight / 2) /\r\n                      activeShape.pngHeightPixels) *\r\n                    100,\r\n            });\r\n\r\n            activeShape.isRoundLogo = true;\r\n\r\n            this.$patch((state) => {\r\n              state.shapes.splice(currentShapeIndex, 1, {\r\n                ...activeShape,\r\n                backgroundImage: URL.createObjectURL(\r\n                  base64StringToBlob(data.pngFile, 'image/png')\r\n                ),\r\n                pngFile: base64StringToBlob(data.pngFile, 'image/png'),\r\n                pngFileWithoutConverters: base64StringToBlob(\r\n                  data.pngFile,\r\n                  'image/png'\r\n                ),\r\n                pngHeightPixels: data.newHeight,\r\n                pngWidthPixels: data.newWidth,\r\n                width: calcArtworkWidth,\r\n                height: calcArtworkHeight,\r\n                aspectRatio: calcArtworkWidth / calcArtworkHeight,\r\n                smallDetailsResult,\r\n                x: areaRect.x + lineWidthV2,\r\n                y: areaRect.y + lineWidthV2,\r\n              });\r\n            });\r\n            const updatedShape = this.shapes[currentShapeIndex];\r\n            this.updateShapePosition(updatedShape, scaledArea, productArea);\r\n\r\n            await this.applyEffectIfNeeded(\r\n              productStore.selectedPrintPosition.id,\r\n              productStore.selectedPrintPosition.techniqueId,\r\n              updatedShape\r\n            );\r\n          }\r\n        }\r\n      } catch (error) {\r\n        console.log('An error occurred', error);\r\n      }\r\n    },\r\n    async changeLogoBackground(proccessingType: string) {\r\n      const productStore = useProductStore();\r\n      const actionsStore = useActionsStore();\r\n      const command: SetArtworkBackgroundCommand = {\r\n        isFullBackground: proccessingType === 'fullBackground',\r\n        color: 2,\r\n      };\r\n\r\n      try {\r\n        const activeShape = this.shapes.find(\r\n          (x) => x.id === this.activeShapeId\r\n        );\r\n        if (activeShape && activeShape.kind === 'Logo') {\r\n          const { data } = await FileService.changeLogoBackground(\r\n            activeShape.pngFileWithoutConverters,\r\n            command\r\n          );\r\n          const whiteColor: PmsColor = {\r\n            red: 255,\r\n            green: 255,\r\n            blue: 255,\r\n            colorFuzz: 20,\r\n            originalName: '',\r\n            isOriginalSpotColor: false,\r\n            name: 'Pure White',\r\n            originalBlack: 0,\r\n            originalCyan: 0,\r\n            originalMagenta: 0,\r\n            originalYellow: 0,\r\n          };\r\n\r\n          const artworkColors = activeShape.pmsColorsInPngFile;\r\n\r\n          if (proccessingType === 'fullBackground') {\r\n            actionsStore.createRemoveBackgroundFullAction(\r\n              this.activeShapeId,\r\n              whiteColor\r\n            );\r\n          }\r\n\r\n          if (proccessingType !== 'fullBackground') {\r\n            actionsStore.createRemoveBackgroundOutsideImageAction(\r\n              this.activeShapeId,\r\n              whiteColor\r\n            );\r\n          }\r\n\r\n          if (data.isAllWhiteRemoved) {\r\n            const whiteColorIndex = artworkColors.findIndex(\r\n              (c) => c.name === whiteColor.name\r\n            );\r\n            if (whiteColorIndex !== -1) {\r\n              artworkColors.splice(whiteColorIndex, 1);\r\n            }\r\n          }\r\n\r\n          if (artworkColors.length !== 0) {\r\n            this.updateArtworkBackground(\r\n              data.pngFile,\r\n              artworkColors,\r\n              data.heightInPx,\r\n              data.widthInPx\r\n            );\r\n\r\n            if (productStore.selectedPrintPosition.techniqueId) {\r\n              await this.applyEffectIfNeeded(\r\n                productStore.selectedPrintPosition.id,\r\n                productStore.selectedPrintPosition.techniqueId,\r\n                activeShape\r\n              );\r\n            }\r\n          } else {\r\n            await this.removeShape(activeShape.id);\r\n          }\r\n        }\r\n      } catch (error) {\r\n        console.log('An error occurred', error);\r\n      }\r\n    },\r\n    async textToImage(\r\n      font: string,\r\n      fontSize: number,\r\n      fontWeight: string,\r\n      fontStyle: string,\r\n      text: string,\r\n      textAlignment: string,\r\n      textColor: string,\r\n      textHtml: string,\r\n      color: PmsColor,\r\n      repositionText: boolean,\r\n      shapeId: string\r\n    ) {\r\n      try {\r\n        const command: ProcessTextCommand = {\r\n          font: font,\r\n          fontSize: fontSize,\r\n          id: shapeId,\r\n          isBold: fontWeight === 'bold',\r\n          isItalic: fontStyle === 'italic',\r\n          text: text,\r\n          textAlignment: textAlignment as TextAlignment,\r\n          textColor: textColor,\r\n        };\r\n\r\n        const { data } = await FileService.textToImage(command);\r\n\r\n        const textShapeIndex = _findIndex(this.shapes, {\r\n          id: shapeId,\r\n        });\r\n\r\n        const productStore = useProductStore();\r\n\r\n        const positionId = productStore.selectedPrintPosition.id;\r\n        const printPosition = productStore.data.productPrintPositions.find(\r\n          (x) => x.id === positionId\r\n        );\r\n        const techniqueId = productStore.unavailablePrintPositions.find(\r\n          (x) => x.positionId === positionId\r\n        )?.technique.id;\r\n        const limitation = printPosition?.printTechniques.find(\r\n          (x) => x.id === techniqueId\r\n        )?.printTechnique.limitation;\r\n\r\n        this.$patch((state) => {\r\n          const current = state.shapes[textShapeIndex];\r\n\r\n          if (current.kind === 'Text') {\r\n            state.shapes.splice(textShapeIndex, 1, {\r\n              ...current,\r\n              backgroundImage: URL.createObjectURL(\r\n                base64StringToBlob(data.pngFile, 'image/png')\r\n              ),\r\n              pngFile: base64StringToBlob(data.pngFile, 'image/png'),\r\n              pngFileWithoutConverters: base64StringToBlob(\r\n                data.pngFile,\r\n                'image/png'\r\n              ),\r\n              height: data.pngHeightPixels,\r\n              width: data.pngWidthPixels,\r\n              originalWidthMM: data.originalWidthMM,\r\n              originalHeightMM: data.originalHeightMM,\r\n              smallDetailsResult: limitation\r\n                ? {\r\n                    ...DefaultSmallDetailsResult,\r\n                    isCheckValid: false,\r\n                  }\r\n                : undefined,\r\n              w2pText: {\r\n                ...current.w2pText,\r\n                fontFamily: font,\r\n                fontSizePT: fontSize,\r\n                fontWeight,\r\n                fontStyle,\r\n                textAlign: textAlignment,\r\n                text: text,\r\n                textHtml: textHtml,\r\n                colorName: textColor,\r\n                color: [color.red, color.green, color.blue],\r\n              },\r\n            });\r\n\r\n            const position = positionText(\r\n              state.shapes[textShapeIndex] as TextShape,\r\n              productStore.selectedPrintPosition.id,\r\n              repositionText\r\n            );\r\n            const previous = state.shapes[textShapeIndex];\r\n            state.shapes.splice(textShapeIndex, 1, {\r\n              ...previous,\r\n              height: position.h,\r\n              width: position.w,\r\n              x: current.x,\r\n              y: current.y,\r\n            });\r\n\r\n            if (productStore.selectedPrintPosition.techniqueId) {\r\n              this.applyEffectIfNeeded(\r\n                productStore.selectedPrintPosition.id,\r\n                productStore.selectedPrintPosition.techniqueId,\r\n                previous\r\n              );\r\n            }\r\n          }\r\n        });\r\n      } catch (error) {\r\n        console.log('An error occurred', error);\r\n      }\r\n    },\r\n    updateArtworkBackground(\r\n      pngFile: string,\r\n      artworkColors: PmsColor[],\r\n      height: number,\r\n      width: number\r\n    ) {\r\n      const index = this.shapes.findIndex(\r\n        (shape: AnnotationShape) => shape.id === this.activeShapeId\r\n      );\r\n\r\n      const affectedShape = this.shapes[index];\r\n\r\n      let recalculatedWidth = 0;\r\n      let recalculatedHeight = 0;\r\n\r\n      if (width >= height) {\r\n        recalculatedWidth = affectedShape.width;\r\n        recalculatedHeight = (affectedShape.width as number) / (width / height);\r\n      } else {\r\n        recalculatedHeight = affectedShape.height as number;\r\n        recalculatedWidth = (affectedShape.height as number) / (height / width);\r\n      }\r\n\r\n      this.setSmallDetailsCheckToInvalid(affectedShape.id);\r\n\r\n      const widthScaleFactor = affectedShape.width / recalculatedWidth;\r\n      const heightScaleFactor = affectedShape.height / recalculatedHeight;\r\n      const newWidthMM = affectedShape.widthOnProductMM / widthScaleFactor;\r\n      const newHeightMM = affectedShape.heightOnProductMM / heightScaleFactor;\r\n\r\n      this.$patch((state) => {\r\n        const current = state.shapes[index];\r\n        if (current.kind === 'Logo') {\r\n          state.shapes.splice(index, 1, {\r\n            ...current,\r\n            backgroundImage: URL.createObjectURL(\r\n              base64StringToBlob(pngFile, 'image/png')\r\n            ),\r\n            pngFile: base64StringToBlob(pngFile, 'image/png'),\r\n            pngFileWithoutConverters: base64StringToBlob(pngFile, 'image/png'),\r\n            pmsColorsInPngFile: [...artworkColors],\r\n            height: recalculatedHeight,\r\n            width: recalculatedWidth,\r\n            aspectRatio: recalculatedWidth / recalculatedHeight,\r\n            pngWidthPixels: width,\r\n            pngHeightPixels: height,\r\n            widthOnProductMM: newWidthMM,\r\n            heightOnProductMM: newHeightMM,\r\n          });\r\n        }\r\n      });\r\n    },\r\n    async applyEffectIfNeeded(\r\n      positionId: string,\r\n      techniqueId: string,\r\n      shapePayload: AnnotationShape\r\n    ) {\r\n      const productStore = useProductStore();\r\n\r\n      if (productStore.isLaserConverter(positionId)) {\r\n        await this.applyLaserConverter(\r\n          shapePayload.id,\r\n          positionId,\r\n          techniqueId\r\n        );\r\n      } else if (productStore.isDebossingTechnique(positionId)) {\r\n        await this.applyDebossingConverter(shapePayload.id);\r\n      } else if (productStore.isSublimationTechnique) {\r\n        await this.applySublimationConverter(shapePayload.id);\r\n      } else if (productStore.isPantoneColorTechnique()) {\r\n        await this.applyPantoneConverter(shapePayload.id);\r\n      }\r\n    },\r\n    updateBackground(pngFile: string, shapePayload: AnnotationShape) {\r\n      const shapeIndex = this.shapes.findIndex(\r\n        (shape: AnnotationShape) => shape.id === shapePayload.id\r\n      );\r\n      const current = this.shapes[shapeIndex];\r\n      if (current) {\r\n        this.$patch((state) => {\r\n          state.shapes.splice(shapeIndex, 1, {\r\n            ...current,\r\n            backgroundImage: pngFile,\r\n          });\r\n        });\r\n      }\r\n    },\r\n    async applyPantoneConverter(shapeId: string) {\r\n      try {\r\n        const productStore = useProductStore();\r\n\r\n        const mappedVariants =\r\n          productStore.selectedVariants &&\r\n          productStore.selectedVariants.map((el) => ({\r\n            ...el,\r\n            ...productStore.data.variants.find((v) => el.productName == v.name),\r\n          }));\r\n\r\n        const shapePayload = {\r\n          ...this.shapes[this.shapes.findIndex((x) => x.id === shapeId)],\r\n        };\r\n\r\n        if (shapePayload && shapePayload.kind === 'Logo') {\r\n          shapePayload.variantArtworkImages = [];\r\n          const colorManagementStore = useColorsManagementStore();\r\n\r\n          await Promise.all(\r\n            mappedVariants.map(async (v) => {\r\n              const changeColorsCommand = {\r\n                replaceColors: shapePayload.pmsColorsInPngFile.map((x) => {\r\n                  const newColorToSet =\r\n                    colorManagementStore.availablePmsColors.find(\r\n                      (y) => y.name === x.name\r\n                    );\r\n                  return {\r\n                    oldColorToReplace: x,\r\n                    newColorToSet: newColorToSet ? newColorToSet : x,\r\n                  };\r\n                }),\r\n              };\r\n              const { data } = await FileService.replaceColors(\r\n                changeColorsCommand,\r\n                shapePayload.pngFileWithoutConverters as Blob\r\n              );\r\n              const variantImages = shapePayload.variantArtworkImages;\r\n              this.$patch((state) => {\r\n                state.shapes.splice(\r\n                  this.shapes.findIndex((x) => x.id === shapeId),\r\n                  1,\r\n                  {\r\n                    ...state.shapes[\r\n                      this.shapes.findIndex((x) => x.id === shapeId)\r\n                    ],\r\n                    ...{\r\n                      variantArtworkImages: [\r\n                        ...shapePayload.variantArtworkImages,\r\n                        {\r\n                          variantColor: v.colour as string,\r\n                          variantArtworkPng: base64StringToBlob(\r\n                            data,\r\n                            'image/png'\r\n                          ),\r\n                          leftPercentage: 0,\r\n                          topPercentage: 0,\r\n                          widthPercentage: 0,\r\n                          heightPercentage: 0,\r\n                        },\r\n                      ],\r\n                    },\r\n\r\n                    ...(productStore.selectedVariant.name === v.productName && {\r\n                      pngFile: base64StringToBlob(data, 'image/png'),\r\n                    }),\r\n                  }\r\n                );\r\n              });\r\n\r\n              shapePayload.variantArtworkImages = [\r\n                ...variantImages,\r\n                {\r\n                  variantColor: v.colour as string,\r\n                  variantArtworkPng: base64StringToBlob(data, 'image/png'),\r\n                  leftPercentage: 0,\r\n                  topPercentage: 0,\r\n                  widthPercentage: 0,\r\n                  heightPercentage: 0,\r\n                },\r\n              ];\r\n            })\r\n          );\r\n\r\n          const actionsStore = useActionsStore();\r\n\r\n          if (shapePayload && shapePayload.kind === 'Logo') {\r\n            actionsStore.createPantoneConverterAction(\r\n              shapePayload.personalizationArtworkId\r\n            );\r\n          }\r\n\r\n          const updatedShape =\r\n            this.shapes[this.shapes.findIndex((x) => x.id === shapeId)];\r\n          const image = updatedShape.variantArtworkImages.find(\r\n            (i) => i.variantColor === productStore.selectedVariant.colour\r\n          )?.variantArtworkPng;\r\n\r\n          if (image) {\r\n            this.updateBackground(\r\n              URL.createObjectURL(image),\r\n              this.shapes[this.shapes.findIndex((x) => x.id === shapeId)]\r\n            );\r\n          }\r\n        }\r\n      } catch (error) {\r\n        console.log('An error occurred', error);\r\n      }\r\n    },\r\n    async applyLaserConverter(\r\n      shapeId: string,\r\n      positionId: string,\r\n      techniqueId: string\r\n    ) {\r\n      try {\r\n        const productStore = useProductStore();\r\n        const mappedVariants =\r\n          productStore.selectedVariants &&\r\n          productStore.selectedVariants.map((el) => ({\r\n            ...el,\r\n            ...productStore.data.variants.find((v) => el.productName == v.name),\r\n          }));\r\n\r\n        const idx = this.shapes.findIndex((x) => x.id === shapeId);\r\n        const shapePayload = { ...this.shapes[idx] };\r\n\r\n        if (shapePayload) {\r\n          shapePayload.variantArtworkImages = [];\r\n\r\n          await Promise.all(\r\n            mappedVariants.map(async (v) => {\r\n              const laserConfiguration: LaserConfiguration =\r\n                productStore.getVariantLaserColor(\r\n                  positionId,\r\n                  techniqueId,\r\n                  v.sku as string\r\n                );\r\n              const laserEffectsCommand = {\r\n                laserEffects: [\r\n                  {\r\n                    variantColor: v.variantColor,\r\n                    laserPercentage: laserConfiguration.laserPercentage,\r\n                    laserColor: laserConfiguration.laserColor,\r\n                  },\r\n                ],\r\n              };\r\n              if (laserConfiguration && shapePayload) {\r\n                const { data } = await FileService.applyLaserEffect(\r\n                  shapePayload.pngFileWithoutConverters as Blob,\r\n                  JSON.stringify(laserEffectsCommand)\r\n                );\r\n\r\n                const variantImages = shapePayload.variantArtworkImages;\r\n                this.$patch((state) => {\r\n                  state.shapes.splice(idx, 1, {\r\n                    ...state.shapes[idx],\r\n                    ...{\r\n                      variantArtworkImages: [\r\n                        ...shapePayload.variantArtworkImages,\r\n                        {\r\n                          variantColor: v.colour as string,\r\n                          variantArtworkPng: base64StringToBlob(\r\n                            data.results[0].pngFile,\r\n                            'image/png'\r\n                          ),\r\n                          leftPercentage: 0,\r\n                          topPercentage: 0,\r\n                          widthPercentage: 0,\r\n                          heightPercentage: 0,\r\n                        },\r\n                      ],\r\n                    },\r\n\r\n                    ...(productStore.selectedVariant.name === v.productName && {\r\n                      pngFile: base64StringToBlob(\r\n                        data.results[0].pngFile,\r\n                        'image/png'\r\n                      ),\r\n                    }),\r\n                  });\r\n                });\r\n                shapePayload.variantArtworkImages = [\r\n                  ...variantImages,\r\n                  {\r\n                    variantColor: v.colour as string,\r\n                    variantArtworkPng: base64StringToBlob(\r\n                      data.results[0].pngFile,\r\n                      'image/png'\r\n                    ),\r\n                    leftPercentage: 0,\r\n                    topPercentage: 0,\r\n                    widthPercentage: 0,\r\n                    heightPercentage: 0,\r\n                  },\r\n                ];\r\n              }\r\n            })\r\n          );\r\n\r\n          const actionsStore = useActionsStore();\r\n\r\n          if (shapePayload && shapePayload.kind === 'Logo') {\r\n            actionsStore.createLaserConverterAction(\r\n              shapePayload.personalizationArtworkId\r\n            );\r\n          }\r\n        }\r\n      } catch (error) {\r\n        console.log('An error occurred', error);\r\n      }\r\n    },\r\n    async applyDebossingConverter(shapeId: string) {\r\n      try {\r\n        const productStore = useProductStore();\r\n        const mappedVariants =\r\n          productStore.selectedVariants &&\r\n          productStore.selectedVariants.map((el) => ({\r\n            ...el,\r\n            ...productStore.data.variants.find((v) => el.productName == v.name),\r\n          }));\r\n        const idx = this.shapes.findIndex((x) => x.id === shapeId);\r\n        const shapePayload = { ...this.shapes[idx] };\r\n\r\n        if (shapePayload) {\r\n          shapePayload.variantArtworkImages = [];\r\n\r\n          await Promise.all(\r\n            mappedVariants.map(async (v) => {\r\n              if (shapePayload) {\r\n                const variantImage = v.images?.find(\r\n                  (i) =>\r\n                    i.printPositionID == productStore.selectedPrintPosition.id\r\n                );\r\n                if (variantImage && variantImage.mostUsedColor) {\r\n                  const { data } = await FileService.applyDebossingEffect(\r\n                    shapePayload.pngFileWithoutConverters as Blob,\r\n                    JSON.stringify({\r\n                      debossingEffects: [\r\n                        {\r\n                          colorHex: variantImage.mostUsedColor,\r\n                          variantColor: v.variantColor,\r\n                        },\r\n                      ],\r\n                    })\r\n                  );\r\n\r\n                  const variantImages = shapePayload.variantArtworkImages;\r\n                  this.$patch((state) => {\r\n                    state.shapes.splice(idx, 1, {\r\n                      ...state.shapes[idx],\r\n                      ...{\r\n                        variantArtworkImages: [\r\n                          ...shapePayload.variantArtworkImages,\r\n                          {\r\n                            variantColor: v.colour as string,\r\n                            variantArtworkPng: base64StringToBlob(\r\n                              data.results[0].pngFile,\r\n                              'image/png'\r\n                            ),\r\n                            leftPercentage: 0,\r\n                            topPercentage: 0,\r\n                            widthPercentage: 0,\r\n                            heightPercentage: 0,\r\n                          },\r\n                        ],\r\n                      },\r\n\r\n                      ...(productStore.selectedVariant.name ===\r\n                        v.productName && {\r\n                        pngFile: base64StringToBlob(\r\n                          data.results[0].pngFile,\r\n                          'image/png'\r\n                        ),\r\n                      }),\r\n                    });\r\n                  });\r\n                  shapePayload.variantArtworkImages = [\r\n                    ...variantImages,\r\n                    {\r\n                      variantColor: v.colour as string,\r\n                      variantArtworkPng: base64StringToBlob(\r\n                        data.results[0].pngFile,\r\n                        'image/png'\r\n                      ),\r\n                      leftPercentage: 0,\r\n                      topPercentage: 0,\r\n                      widthPercentage: 0,\r\n                      heightPercentage: 0,\r\n                    },\r\n                  ];\r\n                }\r\n              }\r\n            })\r\n          );\r\n\r\n          const actionsStore = useActionsStore();\r\n          if (shapePayload) {\r\n            if (shapePayload.kind === 'Logo') {\r\n              actionsStore.createDebossingConverterAction(\r\n                shapePayload.personalizationArtworkId\r\n              );\r\n            }\r\n          }\r\n        }\r\n      } catch (error) {\r\n        console.log('An error occurred', error);\r\n      }\r\n    },\r\n    async applySublimationConverter(shapeId: string) {\r\n      try {\r\n        const productStore = useProductStore();\r\n        const mappedVariants =\r\n          productStore.selectedVariants &&\r\n          productStore.selectedVariants.map((el) => ({\r\n            ...el,\r\n            ...productStore.data.variants.find((v) => el.productName == v.name),\r\n          }));\r\n        const idx = this.shapes.findIndex((x) => x.id === shapeId);\r\n        const shapePayload = { ...this.shapes[idx] };\r\n\r\n        if (shapePayload) {\r\n          shapePayload.variantArtworkImages = [];\r\n\r\n          await Promise.all(\r\n            mappedVariants.map(async (v) => {\r\n              if (shapePayload) {\r\n                const variantImage = v.images?.find(\r\n                  (i) =>\r\n                    i.printPositionID == productStore.selectedPrintPosition.id\r\n                );\r\n                if (\r\n                  variantImage &&\r\n                  productStore.activePosition.originalImageUrl\r\n                ) {\r\n                  const backgroundBlob = await convertToBlob(\r\n                    variantImage.imageWebUrl\r\n                  );\r\n                  const { data } = await FileService.applySublimationEffect(\r\n                    JSON.stringify({\r\n                      artworkTopMM: shapePayload.yOnProductMM,\r\n                      artworkLeftMM: shapePayload.xOnProductMM,\r\n                      artworkWidthMM: shapePayload.widthOnProductMM,\r\n                      artworkHeightMM: shapePayload.heightOnProductMM,\r\n                      backgroundWidthMM: variantImage.imageWidthMM,\r\n                      backgroundHeightMM: variantImage.imageHeightMM,\r\n                    }),\r\n                    shapePayload.pngFileWithoutConverters as Blob,\r\n                    backgroundBlob\r\n                  );\r\n\r\n                  const variantImages = shapePayload.variantArtworkImages;\r\n                  this.$patch((state) => {\r\n                    state.shapes.splice(idx, 1, {\r\n                      ...state.shapes[idx],\r\n                      ...{\r\n                        variantArtworkImages: [\r\n                          ...shapePayload.variantArtworkImages,\r\n                          {\r\n                            variantColor: v.colour as string,\r\n                            variantArtworkPng: base64StringToBlob(\r\n                              data.pngFile,\r\n                              'image/png'\r\n                            ),\r\n                            leftPercentage: data.leftPercentage as number,\r\n                            topPercentage: data.topPercentage as number,\r\n                            widthPercentage: data.widthPercentage as number,\r\n                            heightPercentage: data.heightPercentage as number,\r\n                          },\r\n                        ],\r\n                      },\r\n\r\n                      ...(productStore.selectedVariant.name ===\r\n                        v.productName && {\r\n                        pngFile: base64StringToBlob(data.pngFile, 'image/png'),\r\n                      }),\r\n                    });\r\n                  });\r\n                  shapePayload.variantArtworkImages = [\r\n                    ...variantImages,\r\n                    {\r\n                      variantColor: v.colour as string,\r\n                      variantArtworkPng: base64StringToBlob(\r\n                        data.pngFile,\r\n                        'image/png'\r\n                      ),\r\n                      leftPercentage: data.leftPercentage as number,\r\n                      topPercentage: data.topPercentage as number,\r\n                      widthPercentage: data.widthPercentage as number,\r\n                      heightPercentage: data.heightPercentage as number,\r\n                    },\r\n                  ];\r\n                }\r\n              }\r\n            })\r\n          );\r\n\r\n          const actionsStore = useActionsStore();\r\n          if (shapePayload) {\r\n            if (shapePayload.kind === 'Logo') {\r\n              actionsStore.createSublimationConverterAction(\r\n                shapePayload.personalizationArtworkId\r\n              );\r\n            }\r\n          }\r\n        }\r\n      } catch (error) {\r\n        console.log('An error occurred', error);\r\n      }\r\n    },\r\n    async addTextPayload(shapePayload: AnnotationShape) {\r\n      if (shapePayload.kind === 'Text') {\r\n        const productStore = useProductStore();\r\n\r\n        shapePayload.w2pText.text = '';\r\n        shapePayload.w2pText.textHtml = '';\r\n\r\n        const positionId = productStore.selectedPrintPosition.id;\r\n        const printPosition = productStore.data.productPrintPositions.find(\r\n          (x) => x.id === positionId\r\n        );\r\n        if (printPosition) {\r\n          const colorManagementStore = useColorsManagementStore();\r\n          if (colorManagementStore.lastPalette !== 'ALL') {\r\n            shapePayload.w2pText.colorName =\r\n              colorManagementStore.availablePmsColors[0].name;\r\n            const { red, green, blue } =\r\n              colorManagementStore.availablePmsColors[0];\r\n            shapePayload.w2pText.color = [red, green, blue];\r\n          }\r\n        }\r\n        this.shapes.push(shapePayload);\r\n        this.selectShape(shapePayload.id);\r\n        this.positionShapeMap.push({\r\n          logoId: shapePayload.id,\r\n          id: positionId,\r\n        });\r\n\r\n        this.checkIsShapeInArea(shapePayload.id);\r\n      }\r\n    },\r\n    selectShape(shapeId: string) {\r\n      const shapeBoxSectionStore = useShapeBoxSectionStore();\r\n      shapeBoxSectionStore.resetIsValidInput();\r\n      this.activeShapeId = shapeId;\r\n    },\r\n    async replaceColor(\r\n      from: PmsColor,\r\n      to: PmsColor,\r\n      isOnlyForActiveShape = false\r\n    ) {\r\n      const productStore = useProductStore();\r\n      const actionsStore = useActionsStore();\r\n\r\n      const textPrintPositionShapes = isOnlyForActiveShape\r\n        ? this.shapes.filter((x) => x.id === this.activeShapeId)\r\n        : this.shapes\r\n            .filter((shape) =>\r\n              this.positionShapeMap.some(\r\n                (psm) =>\r\n                  psm.id === productStore.selectedPrintPosition.id &&\r\n                  psm.logoId === shape.id\r\n              )\r\n            )\r\n            .filter(textShapes)\r\n            .filter(\r\n              (x) => x.kind === 'Text' && x.w2pText.colorName === from.name\r\n            );\r\n\r\n      textPrintPositionShapes.map((t) => {\r\n        const textShapeIndex = _findIndex(this.shapes, {\r\n          id: t.id,\r\n        });\r\n\r\n        this.$patch((state) => {\r\n          const current = state.shapes[textShapeIndex];\r\n          if (current.kind === 'Text') {\r\n            this.textToImage(\r\n              current.w2pText.fontFamily,\r\n              current.w2pText.fontSizePT,\r\n              current.w2pText.fontWeight,\r\n              current.w2pText.fontStyle,\r\n              current.w2pText.text,\r\n              current.w2pText.textAlign,\r\n              to.name,\r\n              current.w2pText.textHtml,\r\n              to,\r\n              false,\r\n              current.id\r\n            );\r\n          }\r\n        });\r\n      });\r\n\r\n      const nonTextPrintPositionShapes = isOnlyForActiveShape\r\n        ? (this.shapes.filter(\r\n            (x) => x.id === this.activeShapeId\r\n          ) as LogoShape[])\r\n        : (this.shapes\r\n            .filter((shape) =>\r\n              this.positionShapeMap.some(\r\n                (psm) =>\r\n                  psm.id === productStore.selectedPrintPosition.id &&\r\n                  psm.logoId === shape.id\r\n              )\r\n            )\r\n            .filter(nonTextShapes) as LogoShape[]);\r\n\r\n      const artworksForProcessing = nonTextPrintPositionShapes.filter((a) => {\r\n        return a.pmsColorsInPngFile.some((c) => c.name.includes(from.name));\r\n      });\r\n\r\n      if (artworksForProcessing.length > 0) {\r\n        for (const artwork of artworksForProcessing) {\r\n          const channel = artwork.pmsColorsInPngFile;\r\n          const colorsToChange =\r\n            artwork.pmsColorsInPngFile.filter((c) => c.name === from.name) ||\r\n            from;\r\n          let lastBlob = artwork.pngFileWithoutConverters as Blob;\r\n\r\n          for (let i = 0; i < colorsToChange.length; i++) {\r\n            const command: ChangeColorCommand = {\r\n              oldColorToReplace: colorsToChange[i],\r\n              newColorToSet: to,\r\n              channels: channel,\r\n            };\r\n\r\n            try {\r\n              const { data } = await FileService.replaceColor(command, [\r\n                lastBlob,\r\n              ]);\r\n\r\n              lastBlob = base64StringToBlob(data.pngFiles[0], 'image/png');\r\n\r\n              const logoShapeIndex = _findIndex(this.shapes, {\r\n                id: artwork.id,\r\n              });\r\n\r\n              this.$patch((state) => {\r\n                const originalShape = state.shapes[logoShapeIndex];\r\n                if (originalShape.kind === 'Logo') {\r\n                  state.shapes.splice(logoShapeIndex, 1, {\r\n                    ...originalShape,\r\n                    pngFile: base64StringToBlob(data.pngFiles[0], 'image/png'),\r\n                    pngFileWithoutConverters: base64StringToBlob(\r\n                      data.pngFiles[0],\r\n                      'image/png'\r\n                    ),\r\n                    //pmsColorsInPngFile: artworkPmsColors,\r\n                    backgroundImage: URL.createObjectURL(\r\n                      base64StringToBlob(data.pngFiles[0], 'image/png')\r\n                    ),\r\n                  });\r\n                }\r\n              });\r\n            } catch (error) {\r\n              console.log('An error occurred', error);\r\n            }\r\n          }\r\n        }\r\n\r\n        for (const a of artworksForProcessing) {\r\n          const logoShapeIndex = _findIndex(this.shapes, {\r\n            id: a.id,\r\n          });\r\n          const mappedPngFile = {\r\n            id: a.personalizationArtworkId,\r\n            file: a.pngFile as Blob,\r\n          };\r\n          actionsStore.createReplaceColorAction(mappedPngFile.id, from, to);\r\n\r\n          const artworkPmsColors = [...a.pmsColorsInPngFile];\r\n          to.colorFuzz = 1;\r\n\r\n          const artworkPmsColorsWithSameName = artworkPmsColors.filter((x) =>\r\n            x.name.includes(from.name)\r\n          );\r\n\r\n          artworkPmsColorsWithSameName.forEach((artworkPmsColor) => {\r\n            artworkPmsColor.name = to.name;\r\n            artworkPmsColor.originalName = to.name;\r\n            artworkPmsColor.red = to.red;\r\n            artworkPmsColor.green = to.green;\r\n            artworkPmsColor.blue = to.blue;\r\n            artworkPmsColor.isOriginalSpotColor = from.isOriginalSpotColor;\r\n            artworkPmsColor.colorFuzz = to.colorFuzz;\r\n          });\r\n\r\n          this.$patch((state) => {\r\n            const originalShape = state.shapes[logoShapeIndex];\r\n            if (originalShape.kind === 'Logo') {\r\n              state.shapes.splice(logoShapeIndex, 1, {\r\n                ...originalShape,\r\n                pmsColorsInPngFile: artworkPmsColors,\r\n              });\r\n            }\r\n          });\r\n          if (\r\n            productStore.selectedPrintPosition.techniqueId &&\r\n            this.shapes[logoShapeIndex]\r\n          ) {\r\n            await this.applyEffectIfNeeded(\r\n              productStore.selectedPrintPosition.id,\r\n              productStore.selectedPrintPosition.techniqueId,\r\n              this.shapes[logoShapeIndex]\r\n            );\r\n          }\r\n        }\r\n      }\r\n    },\r\n    async removeColor(color: PmsColor, isOnlyForActiveShape = false) {\r\n      const productStore = useProductStore();\r\n      const actionsStore = useActionsStore();\r\n      const colorMngStore = useColorsManagementStore();\r\n\r\n      const textPrintPositionShapes = isOnlyForActiveShape\r\n        ? this.shapes.filter(\r\n            (x) => x.id === this.activeShapeId && x.kind === 'Text'\r\n          )\r\n        : this.shapes\r\n            .filter((shape) =>\r\n              this.positionShapeMap.some(\r\n                (psm) =>\r\n                  psm.id === productStore.selectedPrintPosition.id &&\r\n                  psm.logoId === shape.id\r\n              )\r\n            )\r\n            .filter(textShapes)\r\n            .filter(\r\n              (t) => t.kind === 'Text' && t.w2pText.colorName === color.name\r\n            );\r\n\r\n      textPrintPositionShapes.map((t) => {\r\n        const textShapeIndex = _findIndex(this.shapes, {\r\n          id: t.id,\r\n        });\r\n\r\n        if (textShapeIndex !== -1) {\r\n          this.removeShape(t.id);\r\n        }\r\n      });\r\n\r\n      const nonTextPrintPositionShapes = isOnlyForActiveShape\r\n        ? (this.shapes.filter(\r\n            (x) => x.id === this.activeShapeId && x.kind === 'Logo'\r\n          ) as LogoShape[])\r\n        : (this.shapes\r\n            .filter((shape) =>\r\n              this.positionShapeMap.some(\r\n                (psm) =>\r\n                  psm.id === productStore.selectedPrintPosition.id &&\r\n                  psm.logoId === shape.id\r\n              )\r\n            )\r\n            .filter(nonTextShapes) as LogoShape[]);\r\n\r\n      const artworksForProcessing = nonTextPrintPositionShapes.filter((a) => {\r\n        return a.pmsColorsInPngFile.some((c) => c.name.includes(color.name));\r\n      });\r\n\r\n      if (artworksForProcessing.length > 0) {\r\n        const colorsWithSameName = new Array<PmsColor>();\r\n        artworksForProcessing.forEach((artwork) => {\r\n          artwork.pmsColorsInPngFile.forEach((pmsColor) => {\r\n            if (pmsColor.name == color.name) {\r\n              colorsWithSameName.push(pmsColor);\r\n            }\r\n          });\r\n        });\r\n        const mapedPngFiles = artworksForProcessing.map((a) => {\r\n          return {\r\n            id: a.personalizationArtworkId,\r\n            file: a.pngFileWithoutConverters as Blob,\r\n          };\r\n        });\r\n        let latestBlobs = mapedPngFiles.map((x) => {\r\n          return x.file;\r\n        });\r\n        let latestData: RemoveColorResult[];\r\n        for (let i = 0; i < colorsWithSameName.length; i++) {\r\n          const command: RemoveColorCommand = {\r\n            colorToRemove: colorsWithSameName[i],\r\n            channels: colorMngStore.getPmsColorsOnPrintPosition(),\r\n          };\r\n          try {\r\n            const { data } = await FileService.removeColor(\r\n              command,\r\n              latestBlobs\r\n            );\r\n            latestBlobs = data.map((x) => {\r\n              return base64StringToBlob(x.pngFile);\r\n            });\r\n            latestData = data;\r\n          } catch (error) {\r\n            console.log('An error occurred', error);\r\n          }\r\n        }\r\n        mapedPngFiles.map(async (x, i) => {\r\n          actionsStore.createRemoveColorAction(x.id, color);\r\n\r\n          const shapeIndex = _findIndex(this.shapes, {\r\n            id: x.id,\r\n          });\r\n\r\n          const originalShape = this.shapes[shapeIndex];\r\n          if (originalShape && originalShape.kind === 'Logo') {\r\n            const shapePmsColors = originalShape.pmsColorsInPngFile;\r\n\r\n            if (shapePmsColors.length === 1) {\r\n              // If it's the last colour then the artwork is removed\r\n              this.removeShape(x.id);\r\n            } else {\r\n              if (shapePmsColors) {\r\n                const newPmsColors = shapePmsColors.filter(\r\n                  (x) => !x.name.includes(color.name)\r\n                );\r\n\r\n                this.$patch((state) => {\r\n                  const widthScaleFactor =\r\n                    originalShape.pngWidthPixels / latestData[i].widthInPx;\r\n                  const heightScaleFactor =\r\n                    originalShape.pngHeightPixels / latestData[i].heightInPx;\r\n                  const newWidth = originalShape.width / widthScaleFactor;\r\n                  const newHeight = originalShape.height / heightScaleFactor;\r\n                  const newWidthMM =\r\n                    originalShape.widthOnProductMM / widthScaleFactor;\r\n                  const newHeightMM =\r\n                    originalShape.heightOnProductMM / heightScaleFactor;\r\n                  state.shapes.splice(shapeIndex, 1, {\r\n                    ...originalShape,\r\n                    pngFile: base64StringToBlob(\r\n                      latestData[i].pngFile,\r\n                      'image/png'\r\n                    ),\r\n                    backgroundImage: URL.createObjectURL(\r\n                      base64StringToBlob(latestData[i].pngFile, 'image/png')\r\n                    ),\r\n                    pngFileWithoutConverters: base64StringToBlob(\r\n                      latestData[i].pngFile,\r\n                      'image/png'\r\n                    ),\r\n                    aspectRatio: newWidth / newHeight,\r\n                    width: newWidth,\r\n                    height: newHeight,\r\n                    pngWidthPixels: latestData[i].widthInPx,\r\n                    pngHeightPixels: latestData[i].heightInPx,\r\n                    widthOnProductMM: newWidthMM,\r\n                    heightOnProductMM: newHeightMM,\r\n                    pmsColorsInPngFile: newPmsColors,\r\n                  });\r\n                });\r\n\r\n                this.setSmallDetailsCheckToInvalid(x.id);\r\n\r\n                if (\r\n                  productStore.selectedPrintPosition.techniqueId &&\r\n                  this.shapes[shapeIndex]\r\n                ) {\r\n                  await this.applyEffectIfNeeded(\r\n                    productStore.selectedPrintPosition.id,\r\n                    productStore.selectedPrintPosition.techniqueId,\r\n                    this.shapes[shapeIndex]\r\n                  );\r\n                }\r\n              }\r\n            }\r\n          }\r\n        });\r\n      }\r\n    },\r\n\r\n    checkIsShapeInArea(shapeId: string) {\r\n      const productStore = useProductStore();\r\n      let isInArea = false;\r\n      const positionId = this.positionShapeMap.find(\r\n        (x) => x.logoId === shapeId\r\n      )?.id;\r\n\r\n      const position = productStore.printPositions.find(\r\n        (x) => x.id === positionId\r\n      );\r\n\r\n      if (position) {\r\n        const printableArea = productStore.printPositionArea(position.id, true);\r\n        const shape = this.shapes.find((x) => x.id === shapeId);\r\n\r\n        if (printableArea && shape) {\r\n          const rectLineWidth = (lineWidthV2 * BACKGROUND_IMAGE_W) / 100;\r\n          const areaRotationInRadians =\r\n            (position.printArea.rotation * Math.PI) / 180;\r\n\r\n          isInArea = checkIsInAreaV2(\r\n            shape,\r\n            printableArea,\r\n            areaRotationInRadians,\r\n            rectLineWidth\r\n          );\r\n        }\r\n      }\r\n\r\n      this.$patch((state) => {\r\n        const idx = state.shapes.findIndex((x) => x.id === shapeId);\r\n        state.shapes.splice(idx, 1, {\r\n          ...state.shapes[idx],\r\n          isInArea,\r\n        });\r\n      });\r\n    },\r\n    reinitializeShapeVariantImage(\r\n      variant: ProductPrintVariant,\r\n      textColor: number[]\r\n    ) {\r\n      const productStore = useProductStore();\r\n\r\n      const printPositionShapes = this.shapes.filter((shape) =>\r\n        this.positionShapeMap.some(\r\n          (psm) =>\r\n            psm.id === productStore.selectedPrintPosition.id &&\r\n            psm.logoId === shape.id\r\n        )\r\n      );\r\n\r\n      printPositionShapes.forEach((s) => {\r\n        const variantArtworkImage = s.variantArtworkImages?.find(\r\n          (i) => i.variantColor === variant.colour\r\n        );\r\n\r\n        s.backgroundImage = URL.createObjectURL(\r\n          variantArtworkImage?.variantArtworkPng || (s.pngFile as Blob)\r\n        );\r\n\r\n        s.pngFile =\r\n          variantArtworkImage?.variantArtworkPng || (s.pngFile as Blob);\r\n\r\n        if (s.kind === 'Text') {\r\n          s.w2pText = {\r\n            ...s.w2pText,\r\n            color: textColor,\r\n          };\r\n        }\r\n      });\r\n    },\r\n\r\n    async applyLanyardOptions(isTile: boolean) {\r\n      if (isTile) {\r\n        await this.executeTile();\r\n      } else {\r\n        await this.executeSingle();\r\n      }\r\n    },\r\n\r\n    async executeSingle() {\r\n      const productStore = useProductStore();\r\n\r\n      //Sort by x, and than add one per filename\r\n      const currentShapes = [...this.shapes];\r\n\r\n      currentShapes.sort((a, b) => a.x - b.x);\r\n      const singleShapePerFilenameOrTextInSelectedPosition =\r\n        [] as AnnotationShape[];\r\n\r\n      currentShapes.forEach((shape, index) => {\r\n        if (\r\n          this.positionShapeMap.findIndex(\r\n            (x) =>\r\n              x.logoId === shape.id &&\r\n              x.id === (productStore.activePosition.id as string)\r\n          ) === -1\r\n        ) {\r\n          singleShapePerFilenameOrTextInSelectedPosition.push(shape);\r\n        } else {\r\n          if (shape.kind === 'Logo') {\r\n            if (\r\n              singleShapePerFilenameOrTextInSelectedPosition.findIndex(\r\n                (x) => x.kind === 'Logo' && x.fileName === shape.fileName\r\n              ) == -1\r\n            ) {\r\n              singleShapePerFilenameOrTextInSelectedPosition.push(shape);\r\n            }\r\n          }\r\n          if (shape.kind === 'Text') {\r\n            if (\r\n              singleShapePerFilenameOrTextInSelectedPosition.findIndex(\r\n                (x) =>\r\n                  x.kind === 'Text' && x.w2pText.text === shape.w2pText.text\r\n              ) == -1\r\n            ) {\r\n              singleShapePerFilenameOrTextInSelectedPosition.push(shape);\r\n            }\r\n          }\r\n        }\r\n      });\r\n\r\n      this.$patch((state) => {\r\n        state.shapes = singleShapePerFilenameOrTextInSelectedPosition;\r\n        state.positionShapeMap = state.positionShapeMap.filter(\r\n          (x) =>\r\n            singleShapePerFilenameOrTextInSelectedPosition.findIndex(\r\n              (y) => y.id == x.logoId\r\n            ) != -1\r\n        );\r\n      });\r\n    },\r\n\r\n    async executeTile() {\r\n      const productStore = useProductStore();\r\n\r\n      //Get info about area\r\n      const { originalImageWebDpi, originalImageWidthPx, originalImageDpi } =\r\n        productStore.activePosition;\r\n\r\n      const webImageWidthPx =\r\n        (originalImageWidthPx &&\r\n          originalImageWebDpi &&\r\n          originalImageDpi &&\r\n          (originalImageWidthPx * originalImageWebDpi) / originalImageDpi) ||\r\n        1;\r\n\r\n      const rectLineWidth = (lineWidthV2 * webImageWidthPx) / 100;\r\n\r\n      let minimumDistance = mm2px(\r\n        2,\r\n        productStore.selectedPrintPosition.originalImageWebDpi\r\n      );\r\n\r\n      const printPositionArea = productStore.printPositionArea(\r\n        productStore.selectedPrintPosition.id,\r\n        true\r\n      ) as RectangleArea;\r\n\r\n      //Move all content of position to the left\r\n      //Create arrays of shapes from current position and shapes from other positions\r\n      const shapesFromActivePosition = [] as AnnotationShape[];\r\n      const shapesFromOtherPositions = [] as AnnotationShape[];\r\n\r\n      this.shapes.forEach((shape, index) => {\r\n        if (\r\n          this.positionShapeMap.findIndex(\r\n            (x) =>\r\n              x.logoId === shape.id &&\r\n              x.id === (productStore.activePosition.id as string)\r\n          ) === -1\r\n        ) {\r\n          shapesFromOtherPositions.push(shape);\r\n        } else {\r\n          shapesFromActivePosition.push(shape);\r\n        }\r\n      });\r\n\r\n      shapesFromActivePosition.sort((a, b) => a.x - b.x);\r\n      const scaledArea = productStore.printPositionArea(\r\n        productStore.activePosition.id as string,\r\n        true\r\n      );\r\n      let shiftLeft = 0;\r\n      const updatedShapesPositions = [] as AnnotationShape[];\r\n      shapesFromActivePosition.forEach((shape, index) => {\r\n        if (scaledArea) {\r\n          if (shape && index === 0) {\r\n            shiftLeft = shape.x - (printPositionArea.x + rectLineWidth);\r\n            shape.x = printPositionArea.x + rectLineWidth;\r\n          } else {\r\n            shape.x = shape.x - shiftLeft;\r\n          }\r\n\r\n          const newShapePosition = {\r\n            x: shape.x,\r\n            y: shape.y,\r\n            width: shape.width,\r\n            height: shape.height,\r\n          };\r\n          const positionOnAreaInPt = getShapePositionInAreainPt(\r\n            newShapePosition,\r\n            scaledArea\r\n          );\r\n\r\n          const productArea = productStore.activePosition.printArea;\r\n\r\n          if (positionOnAreaInPt) {\r\n            const positionOnProductInMM = getShapePositionOnProductInMM(\r\n              positionOnAreaInPt,\r\n              productArea as ProductPrintArea,\r\n              newShapePosition.width / newShapePosition.height\r\n            );\r\n\r\n            if (positionOnProductInMM) {\r\n              shape.xOnProductMM = positionOnProductInMM?.xOnProductMM;\r\n              shape.yOnProductMM = positionOnProductInMM?.yOnProductMM;\r\n            }\r\n          }\r\n\r\n          updatedShapesPositions.push({\r\n            ...shape,\r\n          });\r\n        }\r\n      });\r\n\r\n      this.$patch((state) => {\r\n        state.shapes = [...updatedShapesPositions, ...shapesFromOtherPositions];\r\n      });\r\n\r\n      //Calculate widthOfAllShapesOnSelectedPosition\r\n      let minimumX = 0;\r\n      let maximumX = 0;\r\n      for (let index = 0; index < this.positionShapeMap.length; index++) {\r\n        if (\r\n          this.positionShapeMap[index].id ===\r\n          productStore.selectedPrintPosition.id\r\n        ) {\r\n          const shape = {\r\n            ...this.shapes?.find(\r\n              (a) => a.id === this.positionShapeMap[index].logoId\r\n            ),\r\n          } as AnnotationShape;\r\n\r\n          if (shape) {\r\n            if (minimumX === 0) {\r\n              minimumX = shape.x;\r\n            } else {\r\n              if (shape.x < minimumX) {\r\n                minimumX = shape.x;\r\n              }\r\n            }\r\n\r\n            if (maximumX === 0) {\r\n              maximumX = shape.x + shape.width;\r\n            } else {\r\n              if (shape.x + shape.width > maximumX) {\r\n                maximumX = shape.x + shape.width;\r\n              }\r\n            }\r\n          }\r\n        }\r\n      }\r\n\r\n      const widthOfAllShapesOnSelectedPosition = maximumX - minimumX;\r\n\r\n      //Calculate numberOfDuplicateActions\r\n      let usedWidthOfSelectedPrintPosition = maximumX - printPositionArea.x + 2;\r\n      let numberOfDuplicateActions = 0;\r\n      let spreadFinished = false;\r\n\r\n      while (spreadFinished === false) {\r\n        if (\r\n          usedWidthOfSelectedPrintPosition +\r\n            minimumDistance +\r\n            widthOfAllShapesOnSelectedPosition <=\r\n          printPositionArea.width\r\n        ) {\r\n          numberOfDuplicateActions++;\r\n          usedWidthOfSelectedPrintPosition =\r\n            usedWidthOfSelectedPrintPosition +\r\n            minimumDistance +\r\n            widthOfAllShapesOnSelectedPosition;\r\n        } else {\r\n          if (numberOfDuplicateActions > 0) {\r\n            const freeSpace =\r\n              printPositionArea.width - usedWidthOfSelectedPrintPosition;\r\n            minimumDistance =\r\n              minimumDistance + freeSpace / numberOfDuplicateActions;\r\n          }\r\n\r\n          spreadFinished = true;\r\n        }\r\n      }\r\n\r\n      const positionShapeMapLenght = this.positionShapeMap.length;\r\n\r\n      //Execute replicateArtwork, using numberOfDuplicateActions\r\n      for (\r\n        let indexOfDuplication = 0;\r\n        indexOfDuplication < numberOfDuplicateActions;\r\n        indexOfDuplication++\r\n      ) {\r\n        for (let i = 0; i < positionShapeMapLenght; i++) {\r\n          if (\r\n            this.positionShapeMap[i].id ===\r\n            productStore.selectedPrintPosition.id\r\n          ) {\r\n            const shape = {\r\n              ...this.shapes?.find(\r\n                (a) => a.id === this.positionShapeMap[i].logoId\r\n              ),\r\n            } as AnnotationShape;\r\n\r\n            if (shape) {\r\n              const id = uuidv4();\r\n              this.replicateShape(\r\n                {\r\n                  ...shape,\r\n                  id: id,\r\n                  personalizationArtworkId: id,\r\n                  x:\r\n                    shape.x +\r\n                    widthOfAllShapesOnSelectedPosition *\r\n                      (indexOfDuplication + 1) +\r\n                    minimumDistance * (indexOfDuplication + 1),\r\n                  y: shape.y,\r\n                } as AnnotationShape,\r\n                productStore.selectedPrintPosition.id\r\n              );\r\n            }\r\n          }\r\n        }\r\n      }\r\n    },\r\n    updateShapeStateFromSnapshot(snapshot: ShapeSnapshot) {\r\n      this.$patch((state) => {\r\n        if (snapshot !== undefined) {\r\n          state.activeShapeId = snapshot.activeShapeId;\r\n          state.shapes = snapshot.shapes;\r\n          state.positionShapeMap = snapshot.positionShapeMap;\r\n        }\r\n      });\r\n    },\r\n\r\n    revertAppliedEffect(shape: AnnotationShape) {\r\n      const colorsManagement = useColorsManagementStore();\r\n      const idx = this.shapes.findIndex((artwork) => artwork.id === shape.id);\r\n      const shapePayload = { ...this.shapes[idx] };\r\n      this.$patch((state) => {\r\n        if (shapePayload.kind === 'Logo') {\r\n          state.shapes.splice(idx, 1, {\r\n            ...shapePayload,\r\n            pngFile: shapePayload.pngFileWithoutConverters,\r\n            variantArtworkImages: [],\r\n            backgroundImage: shapePayload.pngFileWithoutConverters\r\n              ? URL.createObjectURL(shapePayload.pngFileWithoutConverters)\r\n              : '',\r\n          });\r\n        }\r\n\r\n        if (shapePayload.kind === 'Text') {\r\n          const foundColor = colorsManagement.availablePmsColors.find(\r\n            (pms) => pms.name === shapePayload.w2pText.colorName\r\n          ) as PmsColor;\r\n\r\n          const { red: r, green: g, blue: b } = foundColor;\r\n          const color = [r, g, b];\r\n          state.shapes.splice(idx, 1, {\r\n            ...shapePayload,\r\n            w2pText: { ...shapePayload.w2pText, color: color },\r\n            pngFile: shapePayload.pngFileWithoutConverters,\r\n            variantArtworkImages: [],\r\n            backgroundImage: shapePayload.pngFileWithoutConverters\r\n              ? URL.createObjectURL(shapePayload.pngFileWithoutConverters)\r\n              : '',\r\n          });\r\n        }\r\n      });\r\n    },\r\n  },\r\n});\r\n","import { defineStore } from 'pinia';\r\n\r\nimport { useStore as useShapeStore } from './shape';\r\nimport { useStore as useProductStore } from './product';\r\n\r\nimport { px2mm } from '@/utils';\r\n\r\nexport const useStore = defineStore({\r\n  id: 'shapeBoxSection',\r\n\r\n  state: () => {\r\n    return {\r\n      isValidInput: {\r\n        height: true,\r\n        width: true,\r\n        rotation: true,\r\n      },\r\n    };\r\n  },\r\n  actions: {\r\n    setIsValidInput(whatToUpdate: string, value: boolean) {\r\n      if (whatToUpdate === 'height') {\r\n        this.isValidInput.height = value;\r\n      }\r\n      if (whatToUpdate === 'width') {\r\n        this.isValidInput.width = value;\r\n      }\r\n      if (whatToUpdate === 'rotation') {\r\n        this.isValidInput.rotation = value;\r\n      }\r\n    },\r\n    resetIsValidInput() {\r\n      this.isValidInput = {\r\n        height: true,\r\n        width: true,\r\n        rotation: true,\r\n      };\r\n    },\r\n  },\r\n  getters: {\r\n    propsData() {\r\n      const shapeStore = useShapeStore();\r\n      const productStore = useProductStore();\r\n      const positionImageDpi =\r\n        productStore.selectedPrintPosition.originalImageWebDpi;\r\n\r\n      const activeShapeId = shapeStore.activeShapeId;\r\n      const shapes = shapeStore.shapes;\r\n\r\n      const current = shapes.find((s) => s.id === activeShapeId);\r\n\r\n      let rotation = ((current?.rotation as number) * 180) / Math.PI;\r\n\r\n      if (rotation >= -90 && rotation < 0) {\r\n        rotation = 360 + rotation;\r\n      }\r\n\r\n      return {\r\n        kind: current?.kind,\r\n        isRoundLogo: current?.isRoundLogo,\r\n        isVisible: activeShapeId !== '',\r\n        width: px2mm(current?.width as number, positionImageDpi),\r\n        height: px2mm(current?.height as number, positionImageDpi),\r\n        rotation: rotation,\r\n        meta: {\r\n          title: current\r\n            ? current.kind === 'Text'\r\n              ? current.w2pText.text\r\n              : current.title\r\n            : '',\r\n        },\r\n      };\r\n    },\r\n    getIsValidInput(state) {\r\n      return (\r\n        state.isValidInput.height &&\r\n        state.isValidInput.width &&\r\n        state.isValidInput.rotation\r\n      );\r\n    },\r\n  },\r\n});\r\n","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./TheApp.vue?vue&type=style&index=0&id=652d4abc&prod&lang=scss\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"13cdd0fc\", content, shadowRoot)\n};","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./SearchArtworks.vue?vue&type=style&index=1&id=798e296b&prod&lang=scss\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"2396aa48\", content, shadowRoot)\n};","export * from \"-!../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./TheApp.vue?vue&type=style&index=0&id=497fc83a&prod&lang=scss&scoped=true\"","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../node_modules/css-loader/dist/runtime/api.js\");\nvar ___CSS_LOADER_AT_RULE_IMPORT_0___ = require(\"-!../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!vue-js-modal/dist/styles.css\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\nexports.i(___CSS_LOADER_AT_RULE_IMPORT_0___);\n// Module\nexports.push([module.id, \".flow-starter-modal{font-family:IBM Plex Sans,Helvetica Neue,Arial,sans-serif!important;font-size:14px;width:580px}.progress-indicator{margin:22px!important;justify-content:center!important}.bx--progress-line,.bx--progress-step{width:100%!important}.bx--progress-step svg{width:14px!important;height:14px!important}.bx--progress-label{max-width:100px!important;font-size:14px!important;margin:5px 0 0 0!important}.redirect-to-wizard{display:flex;align-items:center;background-color:#fff2e8;padding:14px 16px;margin:22px}.redirect-to-wizard-text{margin-left:20px}.redirect-to-wizard-text p{font-size:14px}.redirect-to-wizard-link{color:#24a148;text-decoration:underline;cursor:pointer}.redirect-to-wizard-disabled{color:#d3d3d3}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./FullDesign.vue?vue&type=style&index=0&id=54f66ff8&prod&lang=scss\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"21a9add9\", content, shadowRoot)\n};","export * from \"-!../../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PreviewSection.vue?vue&type=style&index=1&id=5ac16ed0&prod&lang=scss\"","export * from \"-!../../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./NotificationToast.vue?vue&type=style&index=0&id=14695db1&prod&lang=scss&scoped=true\"","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./EditArtworkForm.vue?vue&type=style&index=0&id=5d9492ec&prod&lang=scss\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"79d42a6a\", content, shadowRoot)\n};","\"use strict\";\nObject.defineProperty(exports, \"__esModule\", { value: true });\nexports.isNegative = void 0;\n/** Validator that only allows negative numbers (`< 0`). */\nconst isNegative = (value) => {\n    if (typeof value !== 'number' || value >= 0 || Number.isNaN(value)) {\n        return 'value should be a negative number';\n    }\n    return undefined;\n};\nexports.isNegative = isNegative;\n","'use strict';\n// TODO: Remove from `core-js@4`\nrequire('../modules/es.set.intersection.v2');\n","'use strict';\n\nvar GetIntrinsic = require('get-intrinsic');\n\n/** @type {import('.')} */\nvar $defineProperty = GetIntrinsic('%Object.defineProperty%', true) || false;\nif ($defineProperty) {\n\ttry {\n\t\t$defineProperty({}, 'a', { value: 1 });\n\t} catch (e) {\n\t\t// IE 8 has a broken defineProperty\n\t\t$defineProperty = false;\n\t}\n}\n\nmodule.exports = $defineProperty;\n","export * from \"-!../../../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./ProductPreviewModal.vue?vue&type=style&index=0&id=139a660a&prod&lang=scss&scoped=true\"","'use strict';\n// we can't use just `it == null` since of `document.all` special case\n// https://tc39.es/ecma262/#sec-IsHTMLDDA-internal-slot-aec\nmodule.exports = function (it) {\n  return it === null || it === undefined;\n};\n","'use strict';\nvar uncurryThis = require('../internals/function-uncurry-this');\nvar aCallable = require('../internals/a-callable');\n\nmodule.exports = function (object, key, method) {\n  try {\n    // eslint-disable-next-line es/no-object-getownpropertydescriptor -- safe\n    return uncurryThis(aCallable(Object.getOwnPropertyDescriptor(object, key)[method]));\n  } catch (error) { /* empty */ }\n};\n","'use strict';\nvar $ = require('../internals/export');\nvar union = require('../internals/set-union');\nvar setMethodAcceptSetLike = require('../internals/set-method-accept-set-like');\n\n// `Set.prototype.union` method\n// https://github.com/tc39/proposal-set-methods\n$({ target: 'Set', proto: true, real: true, forced: !setMethodAcceptSetLike('union') }, {\n  union: union\n});\n","(function (factory) {\n  if (typeof define === 'function' && define.amd) { // AMD\n     define(factory);\n   } else if (typeof module !== 'undefined') {      // CommonJS\n     module.exports = factory();\n   } else {                                         // browser globals\n     window.pointInEllipse = factory();\n   }\n})(function () {\n\n  /**\n   * Determines if the point lies inside or outside of ellipse\n   * @param  {Array.<Number>} point\n   * @param  {Array.<Number>} c  ellipse center\n   * @param  {Number}         rx X radius\n   * @param  {Number}         ry Y radius\n   * @param  {Number}         rotation Radians\n   * @return {Boolean}\n   */\n  return function pointInEllipse (px, py, cx, cy, rx, ry, rotation) {\n    rotation = rotation || 0;\n    var cos = Math.cos(rotation),\n        sin = Math.sin(rotation);\n    var dx  = (px - cx),\n        dy  = (py - cy);\n    var tdx = cos * dx + sin * dy,\n        tdy = sin * dx - cos * dy;\n\n    return (tdx * tdx) / (rx * rx) + (tdy * tdy) / (ry * ry) <= 1;\n  }\n});\n","import { PrintArea } from '@/web-components/import-wizard-v2/typings/common';\r\nimport { AnnotationShape } from '@/web-components/import-wizard/typings';\r\nimport { Collider2d, Polygon, Vector } from 'collider2d';\r\nimport CollisionDetails from 'collider2d/build/collision_details';\r\nimport inside from 'point-in-ellipse';\r\n\r\nexport function checkIsInArea(\r\n  shape: AnnotationShape,\r\n  area: any,\r\n  areaType: string,\r\n  areaRotation: number,\r\n  lineWidth: number\r\n): boolean {\r\n  const collider2d = new Collider2d();\r\n  const x = shape.x;\r\n  const y = shape.y;\r\n  const w = shape.width;\r\n  const h = shape.height;\r\n  const isRoundLogo = shape.isRoundLogo;\r\n\r\n  const position = new Vector(x + w / 2, y + h / 2);\r\n  const shapeRotation = shape.rotation;\r\n\r\n  let shapeAreaPolygon = new Polygon();\r\n\r\n  if (isRoundLogo) {\r\n    const shapePolygon = createPolygonFromEllipse(\r\n      new Vector(x + w / 2, y + h / 2),\r\n      w / 2,\r\n      h / 2,\r\n      36\r\n    );\r\n\r\n    for (const point of shapePolygon.points) {\r\n      point.x = point.x - position.x;\r\n      point.y = point.y - position.y;\r\n    }\r\n\r\n    shapeAreaPolygon = new Polygon(position, shapePolygon.points);\r\n  } else {\r\n    shapeAreaPolygon = new Polygon(position, [\r\n      new Vector(-w / 2, -h / 2),\r\n      new Vector(-w / 2, h / 2),\r\n      new Vector(w / 2, h / 2),\r\n      new Vector(w / 2, -h / 2),\r\n    ]);\r\n  }\r\n\r\n  shapeAreaPolygon.rotate(shapeRotation);\r\n\r\n  let finalResult = false;\r\n\r\n  if (areaType == 'Rectangle') {\r\n    // add line width to prevent causing out of boundaries when logo is placed on lines\r\n    const x = area.x;\r\n    const y = area.y;\r\n    const w = area.w;\r\n    const h = area.h;\r\n\r\n    const position = new Vector(x + w / 2, y + h / 2);\r\n    const printableAreaPolygon = new Polygon(position, [\r\n      new Vector(-w / 2, -h / 2),\r\n      new Vector(-w / 2, h / 2),\r\n      new Vector(w / 2, h / 2),\r\n      new Vector(w / 2, -h / 2),\r\n    ]);\r\n    printableAreaPolygon.rotate(areaRotation);\r\n\r\n    const { aInB } = collider2d.testPolygonPolygon(\r\n      shapeAreaPolygon,\r\n      printableAreaPolygon,\r\n      true\r\n    ) as CollisionDetails;\r\n\r\n    finalResult = aInB || false;\r\n  }\r\n  if (areaType == 'Polygon') {\r\n    const areaPolygon: Vector[] = [];\r\n    for (let i = 0; i < area.length - 1; i++) {\r\n      areaPolygon.push(new Vector(area[i].x, area[i].y));\r\n    }\r\n\r\n    const shapePoints = shapeAreaPolygon.points;\r\n\r\n    for (const point of shapePoints) {\r\n      point.add(position);\r\n    }\r\n\r\n    const isIn = polyPoly(areaPolygon, shapePoints);\r\n    const isNOTOnLine = polyCollision(areaPolygon, shapePoints);\r\n\r\n    finalResult = isIn ? isNOTOnLine : isIn;\r\n  }\r\n\r\n  if (areaType == 'Ellipse') {\r\n    const polygonPoints = shapeAreaPolygon.points;\r\n    const pointInEllipse = [];\r\n    for (const point of polygonPoints) {\r\n      pointInEllipse.push(\r\n        inside(\r\n          point.x + position.x,\r\n          point.y + position.y,\r\n          area.x,\r\n          area.y,\r\n          area.rx,\r\n          area.ry,\r\n          areaRotation\r\n        )\r\n      );\r\n    }\r\n    let pointsInEllipse = true;\r\n    for (const onePointInEllipse of pointInEllipse) {\r\n      if (!onePointInEllipse) {\r\n        pointsInEllipse = false;\r\n        break;\r\n      }\r\n    }\r\n\r\n    finalResult = pointsInEllipse;\r\n  }\r\n\r\n  return finalResult;\r\n}\r\n\r\n// values for rotations should be in radians\r\nexport function checkIsInAreaV2(\r\n  shape: AnnotationShape,\r\n  area: PrintArea,\r\n  areaRotation: number,\r\n  lineWidth: number\r\n): boolean {\r\n  const collider2d = new Collider2d();\r\n  const x = shape.x;\r\n  const y = shape.y;\r\n  const w = shape.width;\r\n  const h = shape.height;\r\n  const isRoundLogo = shape.isRoundLogo;\r\n\r\n  const position = new Vector(x + w / 2, y + h / 2);\r\n\r\n  let shapeAreaPolygon = new Polygon();\r\n\r\n  if (isRoundLogo) {\r\n    const shapePolygon = createPolygonFromEllipse(\r\n      new Vector(x + w / 2, y + h / 2),\r\n      w / 2,\r\n      h / 2,\r\n      36\r\n    );\r\n\r\n    for (const point of shapePolygon.points) {\r\n      point.x = point.x - position.x;\r\n      point.y = point.y - position.y;\r\n    }\r\n\r\n    shapeAreaPolygon = new Polygon(position, shapePolygon.points);\r\n  } else {\r\n    shapeAreaPolygon = new Polygon(position, [\r\n      new Vector(-w / 2, -h / 2),\r\n      new Vector(-w / 2, h / 2),\r\n      new Vector(w / 2, h / 2),\r\n      new Vector(w / 2, -h / 2),\r\n    ]);\r\n  }\r\n\r\n  shapeAreaPolygon.rotate(shape.rotation);\r\n\r\n  let finalResult = false;\r\n\r\n  if (area.kind === 'Rectangle') {\r\n    // add line width to prevent causing out of boundaries when logo is placed on lines\r\n    const correctionFactor = 0.001;\r\n    const x = area.x + lineWidth / 2 - correctionFactor;\r\n    const y = area.y + lineWidth / 2 - correctionFactor;\r\n    const w = area.width - lineWidth + correctionFactor;\r\n    const h = area.height - lineWidth + correctionFactor;\r\n\r\n    const position = new Vector(x + w / 2, y + h / 2);\r\n    const printableAreaPolygon = new Polygon(position, [\r\n      new Vector(-w / 2, -h / 2),\r\n      new Vector(-w / 2, h / 2),\r\n      new Vector(w / 2, h / 2),\r\n      new Vector(w / 2, -h / 2),\r\n    ]);\r\n\r\n    printableAreaPolygon.rotate(areaRotation);\r\n\r\n    const { aInB } = collider2d.testPolygonPolygon(\r\n      shapeAreaPolygon,\r\n      printableAreaPolygon,\r\n      true\r\n    ) as CollisionDetails;\r\n    finalResult = aInB || false;\r\n  }\r\n  if (area.kind === 'Polygon') {\r\n    const areaPolygon: Vector[] = [];\r\n    for (let i = 0; i < area.points.length - 1; i++) {\r\n      areaPolygon.push(new Vector(area.points[i].x, area.points[i].y));\r\n    }\r\n\r\n    const shapePoints = shapeAreaPolygon.points;\r\n\r\n    for (const point of shapePoints) {\r\n      point.add(position);\r\n    }\r\n\r\n    const isIn = polyPoly(areaPolygon, shapePoints);\r\n    const isNOTOnLine = polyCollision(areaPolygon, shapePoints);\r\n\r\n    finalResult = isIn ? isNOTOnLine : isIn;\r\n  }\r\n\r\n  if (area.kind === 'Ellipse') {\r\n    // use rotation in degrees\r\n    const shapeRectangle = new Polygon(position, [\r\n      new Vector(-w / 2, -h / 2),\r\n      new Vector(-w / 2, h / 2),\r\n      new Vector(w / 2, h / 2),\r\n      new Vector(w / 2, -h / 2),\r\n    ]);\r\n    shapeRectangle.rotate(shape.rotation);\r\n    const polygonPoints = shapeRectangle.points;\r\n\r\n    const pointInEllipse = [];\r\n    for (const point of polygonPoints) {\r\n      pointInEllipse.push(\r\n        inside(\r\n          point.x + position.x,\r\n          point.y + position.y,\r\n          area.x,\r\n          area.y,\r\n          area.rx,\r\n          area.ry,\r\n          areaRotation\r\n        )\r\n      );\r\n    }\r\n    let pointsInEllipse = true;\r\n    for (const onePointInEllipse of pointInEllipse) {\r\n      if (!onePointInEllipse) {\r\n        pointsInEllipse = false;\r\n        break;\r\n      }\r\n    }\r\n\r\n    finalResult = pointsInEllipse;\r\n  }\r\n\r\n  return finalResult;\r\n}\r\n\r\nfunction polyCollision(p1: Vector[], p2: Vector[]): boolean {\r\n  let next = 0;\r\n  let current = 0;\r\n  for (current = 0; current < p1.length; current++) {\r\n    next = current + 1;\r\n    if (next == p1.length) next = 0;\r\n\r\n    const vc: Vector = p1[current]; // c for \"current\"\r\n    const vn: Vector = p1[next]; // n for \"next\"\r\n\r\n    const collision = polyLine(p2, vc.x, vc.y, vn.x, vn.y);\r\n    if (collision) return false;\r\n  }\r\n\r\n  return true;\r\n}\r\n\r\nfunction polyPoly(p1: Vector[], p2: Vector[]): boolean {\r\n  let next = 0;\r\n  let current = 0;\r\n  for (current = 0; current < p1.length; current++) {\r\n    next = current + 1;\r\n    if (next == p1.length) next = 0;\r\n\r\n    const p2inp1 = polyPoint(p1, p2[0].x, p2[0].y);\r\n    if (p2inp1) return true;\r\n  }\r\n\r\n  return false;\r\n}\r\n\r\nfunction polyLine(\r\n  vertices: Vector[],\r\n  x1: number,\r\n  y1: number,\r\n  x2: number,\r\n  y2: number\r\n) {\r\n  let next = 0,\r\n    current = 0;\r\n  for (current = 0; current < vertices.length; current++) {\r\n    next = current + 1;\r\n    if (next == vertices.length) next = 0;\r\n\r\n    const x3 = vertices[current].x;\r\n    const y3 = vertices[current].y;\r\n    const x4 = vertices[next].x;\r\n    const y4 = vertices[next].y;\r\n\r\n    const hit = lineLine(x1, y1, x2, y2, x3, y3, x4, y4);\r\n    if (hit) {\r\n      return true;\r\n    }\r\n  }\r\n  return false;\r\n}\r\n\r\nfunction lineLine(\r\n  x1: number,\r\n  y1: number,\r\n  x2: number,\r\n  y2: number,\r\n  x3: number,\r\n  y3: number,\r\n  x4: number,\r\n  y4: number\r\n) {\r\n  const uA =\r\n    ((x4 - x3) * (y1 - y3) - (y4 - y3) * (x1 - x3)) /\r\n    ((y4 - y3) * (x2 - x1) - (x4 - x3) * (y2 - y1));\r\n  const uB =\r\n    ((x2 - x1) * (y1 - y3) - (y2 - y1) * (x1 - x3)) /\r\n    ((y4 - y3) * (x2 - x1) - (x4 - x3) * (y2 - y1));\r\n\r\n  if (uA >= 0 && uA <= 1 && uB >= 0 && uB <= 1) {\r\n    return true;\r\n  }\r\n  return false;\r\n}\r\n\r\nfunction polyPoint(vertices: Vector[], px: number, py: number) {\r\n  let collision = false;\r\n\r\n  let next = 0,\r\n    current = 0;\r\n  for (current = 0; current < vertices.length; current++) {\r\n    next = current + 1;\r\n    if (next == vertices.length) next = 0;\r\n\r\n    const vc = vertices[current]; // c for \"current\"\r\n    const vn = vertices[next]; // n for \"next\"\r\n\r\n    if (\r\n      ((vc.y > py && vn.y < py) || (vc.y < py && vn.y > py)) &&\r\n      px < ((vn.x - vc.x) * (py - vc.y)) / (vn.y - vc.y) + vc.x\r\n    ) {\r\n      collision = !collision;\r\n    }\r\n  }\r\n  return collision;\r\n}\r\n\r\nexport function isConvex(polygon: Polygon): boolean {\r\n  const points = [...polygon.points];\r\n  if (points.length < 3) return false;\r\n\r\n  let p;\r\n  let v;\r\n  let u;\r\n  let result = 0;\r\n  for (let i = 0; i < points.length; i++) {\r\n    p = points[i];\r\n    const temp = points[(i + 1) % points.length];\r\n    v = new Vector();\r\n    v.x = temp.x - p.x;\r\n    v.y = temp.y - p.y;\r\n    u = points[(i + 2) % points.length];\r\n\r\n    if (i == 0) result = u.x * v.y - u.y * v.x + v.x * p.y - v.y * p.x;\r\n    else {\r\n      const newResult = u.x * v.y - u.y * v.x + v.x * p.y - v.y * p.x;\r\n      if ((newResult > 0 && result < 0) || (newResult < 0 && result > 0))\r\n        return false;\r\n    }\r\n  }\r\n  return true;\r\n}\r\n\r\nexport function createPolygonFromEllipse(\r\n  center: Vector,\r\n  radiusX: number,\r\n  radiusY: number,\r\n  numberOfPoints: number\r\n): Polygon {\r\n  const polygon = new Polygon();\r\n\r\n  for (let i = 0; i < numberOfPoints; i++) {\r\n    const percentDone = i / numberOfPoints;\r\n    const currentEllipseAngle = percentDone * 2 * Math.PI;\r\n    polygon.points.push(\r\n      new Vector(\r\n        radiusX * Math.cos(currentEllipseAngle) + center.x,\r\n        radiusY * Math.sin(currentEllipseAngle) + center.y\r\n      )\r\n    );\r\n  }\r\n\r\n  return polygon;\r\n}\r\n","export * from \"-!../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PrintTechniqueHeader.vue?vue&type=style&index=0&id=893df954&prod&lang=scss&scoped=true\"","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./FullDesignUploader.vue?vue&type=style&index=0&id=7368574d&prod&lang=scss\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"d3d3a050\", content, shadowRoot)\n};","'use strict';\n// eslint-disable-next-line es/no-object-getownpropertysymbols -- safe\nexports.f = Object.getOwnPropertySymbols;\n","export * from \"-!../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./TheApp.vue?vue&type=style&index=1&id=49f655d7&prod&lang=scss\"","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".editor-toolbar[data-v-9c6e33ac]{position:relative;display:flex}.editor-toolbar .bx--btn[data-v-9c6e33ac]{height:50px;width:50px}#submenu--align[data-v-9c6e33ac]{position:absolute;top:50px;right:0;height:48px;background:#161616;color:orange;z-index:1}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".print-positions-manager .bx--accordion__content{padding:0 1rem!important;border-top:2px solid #f4f4f4}.print-positions-manager .bx--accordion__heading{width:-moz-fit-content!important;width:fit-content!important}.print-positions-manager .bx--accordion__heading:focus:before{box-sizing:border-box;border:0}.print-positions-manager .bx--accordion__arrow{margin-left:10px!important}.print-positions-manager .bx--accordion__title{font-size:14px}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./TiptapToolbar.vue?vue&type=style&index=1&id=9c6e33ac&prod&lang=scss\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"c43e77c8\", content, shadowRoot)\n};","\"use strict\";\nObject.defineProperty(exports, \"__esModule\", { value: true });\nexports.isInteger = void 0;\n/** Validator that only allows integer numbers. */\nconst isInteger = (value) => {\n    if (typeof value !== 'number' || !Number.isInteger(value)) {\n        return 'value should be an integer';\n    }\n    return undefined;\n};\nexports.isInteger = isInteger;\n","'use strict';\n// IE8- don't enum bug keys\nmodule.exports = [\n  'constructor',\n  'hasOwnProperty',\n  'isPrototypeOf',\n  'propertyIsEnumerable',\n  'toLocaleString',\n  'toString',\n  'valueOf'\n];\n","import printConfigService from '@/services/PrintConfigService';\r\nimport { AxiosError } from 'axios';\r\nimport { defineStore } from 'pinia';\r\nimport { useStore as useShapeStore } from './shape';\r\nimport { useStore as useColorsManagmentStore } from './colorsManagement';\r\nimport { useStore as useNotificationStore } from './notification';\r\nimport { useStore as useMirrorStore } from './mirror';\r\nimport {\r\n  ProductPrintPositionAddModel,\r\n  ProductPrintPositionBoxModel,\r\n} from '../typings';\r\nimport { mm2px } from '../utils';\r\nimport { AnnotationShape } from '@/web-components/import-wizard/typings';\r\nimport { Polygon, Vector } from 'collider2d';\r\nimport { isConvex } from '@/utils/collisionHelper';\r\nimport { lineWidth } from '@/constants/areaLineWidth';\r\nimport { ProductSnapshot } from '@/typings/history';\r\nimport hexRgb from 'hex-rgb';\r\nimport {\r\n  ProductVariant as SelectedProductVariant,\r\n  ProductPrintAreaPoint,\r\n  ProductPrintArea,\r\n  PmsColor,\r\n  ProductPrintPosition,\r\n  ProductVariantImage,\r\n  ProductPrintVariant,\r\n  ProductPrintData,\r\n  LaserConfiguration,\r\n} from '@midocean/webapps-shared-domain';\r\n\r\nexport const useStore = defineStore({\r\n  id: 'product',\r\n\r\n  state: () => {\r\n    return {\r\n      data: {} as ProductPrintData,\r\n      errors: [] as AxiosError[],\r\n      unavailablePrintPositions: [] as ProductPrintPositionAddModel[],\r\n      selectedPrintPosition: {} as ProductPrintPositionBoxModel,\r\n      lastManagedPrintPositionId: '',\r\n      previousManagedPrintPositionId: '',\r\n      positionsSetFromProps: false,\r\n      selectedVariants: [] as SelectedProductVariant[],\r\n      selectedVariant: {} as ProductPrintVariant,\r\n      isProductPrintable: true,\r\n      editedPositions: [] as string[],\r\n      isProcessingOrder: false,\r\n    };\r\n  },\r\n\r\n  getters: {\r\n    activePosition: (state) => {\r\n      if (!state.data.id) {\r\n        return {};\r\n      }\r\n      const ppIndex = state.data.productPrintPositions.findIndex((ppp) => {\r\n        return ppp.id === state.selectedPrintPosition?.id;\r\n      });\r\n      if (ppIndex === -1) return {};\r\n      const {\r\n        id,\r\n        originalImageWebDpi,\r\n        name,\r\n        printArea,\r\n        originalImageWidthPx,\r\n        originalImageHeightPx,\r\n        originalImageDpi,\r\n        printTechniques,\r\n        categoryConfiguration,\r\n        category,\r\n      } = state.data.productPrintPositions?.[ppIndex > -1 ? ppIndex : 0];\r\n\r\n      let { originalImageUrl } =\r\n        state.data.productPrintPositions?.[ppIndex > -1 ? ppIndex : 0];\r\n\r\n      if (state.selectedVariant && state.selectedVariant.images) {\r\n        const imageUrl = state.selectedVariant.images.find((img) => {\r\n          return id === img.printPositionID;\r\n        }) as ProductVariantImage;\r\n        originalImageUrl = imageUrl.imageUrl;\r\n      }\r\n\r\n      const limitation = printTechniques.find(\r\n        (x) => x.id == state.selectedPrintPosition.techniqueId\r\n      )?.printTechnique.limitation;\r\n\r\n      return {\r\n        id,\r\n        originalImageUrl,\r\n        originalImageDpi: originalImageDpi === 0 ? 96 : originalImageDpi,\r\n        originalImageWebDpi:\r\n          originalImageWebDpi === 0 ? 96 : originalImageWebDpi,\r\n        name,\r\n        printArea,\r\n        originalImageWidthPx,\r\n        originalImageHeightPx,\r\n        limitation,\r\n        categoryConfiguration,\r\n        category,\r\n      };\r\n    },\r\n    isLaserConverter: (state) => {\r\n      return (printPositionId?: string, techCode?: string) => {\r\n        if (techCode !== undefined) {\r\n          const printPostion = state.data.productPrintPositions?.find(\r\n            (p) => p.id === printPositionId\r\n          );\r\n          const technique = printPostion?.printTechniques.find(\r\n            (t) => t.printTechnique.code === techCode\r\n          );\r\n\r\n          return (\r\n            technique?.printTechnique.nameTranslations\r\n              .find((t) => t.language.code === 'en')\r\n              ?.text.toUpperCase()\r\n              .includes('LASER') || false\r\n          );\r\n        } else {\r\n          // if printPositionId is not defined, then we use the one from selectedPrintPosition\r\n          let posId = state.selectedPrintPosition.id;\r\n          let techniqueId = state.selectedPrintPosition.techniqueId;\r\n\r\n          if (printPositionId !== undefined) {\r\n            posId = printPositionId;\r\n            techniqueId = state.unavailablePrintPositions.find(\r\n              (pp) => pp.positionId === posId\r\n            )?.technique.id;\r\n          }\r\n\r\n          const printPostion = state.data.productPrintPositions?.find(\r\n            (p) => p.id === posId\r\n          );\r\n          const technique = printPostion?.printTechniques.find(\r\n            (t) => t.id === techniqueId\r\n          );\r\n          return (\r\n            technique?.printTechnique.nameTranslations\r\n              .find((t) => t.language.code === 'en')\r\n              ?.text.toUpperCase()\r\n              .includes('LASER') || false\r\n          );\r\n        }\r\n      };\r\n    },\r\n    isCeramicTransfer: (state) => {\r\n      return (printPositionId?: string, techCode?: string) => {\r\n        if (techCode !== undefined) {\r\n          const printPostion = state.data.productPrintPositions?.find(\r\n            (p) => p.id === printPositionId\r\n          );\r\n          const technique = printPostion?.printTechniques.find(\r\n            (t) => t.printTechnique.code === techCode\r\n          );\r\n          return (\r\n            technique?.printTechnique.nameTranslations\r\n              .find((t) => t.language.code === 'en')\r\n              ?.text.toUpperCase()\r\n              .includes('CERAMIC') || false\r\n          );\r\n        } else {\r\n          // if printPositionId is not defined, then we use the one from selectedPrintPosition\r\n          let posId = state.selectedPrintPosition.id;\r\n          let techniqueId = state.selectedPrintPosition.techniqueId;\r\n\r\n          if (printPositionId !== undefined) {\r\n            posId = printPositionId;\r\n            techniqueId = state.unavailablePrintPositions.find(\r\n              (pp) => pp.positionId === posId\r\n            )?.technique.id;\r\n          }\r\n\r\n          const printPostion = state.data.productPrintPositions?.find(\r\n            (p) => p.id === posId\r\n          );\r\n          const technique = printPostion?.printTechniques.find(\r\n            (t) => t.id === techniqueId\r\n          );\r\n          return (\r\n            technique?.printTechnique.nameTranslations\r\n              .find((t) => t.language.code === 'en')\r\n              ?.text.toUpperCase()\r\n              .includes('CERAMIC') || false\r\n          );\r\n        }\r\n      };\r\n    },\r\n    isFullColor: (state) => {\r\n      return (printPositionId?: string) => {\r\n        // if printPositionId is not defined, then we use the one from selectedPrintPosition\r\n        let posId = state.selectedPrintPosition.id;\r\n        let techniqueId = state.selectedPrintPosition.techniqueId;\r\n\r\n        if (printPositionId !== undefined) {\r\n          posId = printPositionId;\r\n          techniqueId = state.unavailablePrintPositions.find(\r\n            (pp) => pp.positionId === posId\r\n          )?.technique.id;\r\n        }\r\n        const printPostion = state.data.productPrintPositions?.find(\r\n          (p) => p.id === posId\r\n        );\r\n        const technique = printPostion?.printTechniques.find(\r\n          (t) => t.id === techniqueId\r\n        );\r\n\r\n        return technique?.printTechnique.isFullColor || false;\r\n      };\r\n    },\r\n    isPantoneColorTechnique() {\r\n      return (printPositionId?: string) => {\r\n        // if printPositionId is not defined, then we use the one from selectedPrintPosition\r\n        let posId = this.selectedPrintPosition.id;\r\n        let techniqueId = this.selectedPrintPosition.techniqueId;\r\n\r\n        if (printPositionId !== undefined) {\r\n          posId = printPositionId;\r\n          techniqueId =\r\n            this.unavailablePrintPositions.find((pp) => pp.positionId === posId)\r\n              ?.technique.id || '';\r\n        }\r\n        const printPostion = this.data.productPrintPositions?.find(\r\n          (p) => p.id === posId\r\n        );\r\n        const technique = printPostion?.printTechniques.find(\r\n          (t) => t.id === techniqueId\r\n        );\r\n\r\n        if (technique) {\r\n          return (\r\n            !this.isFullColor() &&\r\n            !this.isLaserConverter() &&\r\n            !this.isDebossingTechnique() &&\r\n            !this.isSublimationTechnique\r\n          );\r\n        } else {\r\n          return false;\r\n        }\r\n      };\r\n    },\r\n    isSmallDetailsTechnique: (state) => {\r\n      return (positionId?: string, techCode?: string) => {\r\n        if (!positionId && !techCode) {\r\n          const currentPrintPosition = state.data.productPrintPositions?.find(\r\n            (p) => p.id === state.selectedPrintPosition.id\r\n          );\r\n          const technique = currentPrintPosition?.printTechniques.find(\r\n            (t) => t.id === state.selectedPrintPosition.techniqueId\r\n          );\r\n\r\n          return technique?.printTechnique.checkSmallDetails || false;\r\n        }\r\n\r\n        const printPostion = state.data.productPrintPositions?.find(\r\n          (p) => p.id === positionId\r\n        );\r\n        const technique = printPostion?.printTechniques.find(\r\n          (t) => t.printTechnique.code === techCode\r\n        );\r\n\r\n        return technique?.printTechnique.limitation !== null || false;\r\n      };\r\n    },\r\n    isSublimationTechnique: (state) => {\r\n      const currentPrintPosition = state.data.productPrintPositions?.find(\r\n        (p) => p.id === state.selectedPrintPosition.id\r\n      );\r\n\r\n      const technique = currentPrintPosition?.printTechniques.find(\r\n        (t) => t.id === state.selectedPrintPosition.techniqueId\r\n      );\r\n\r\n      return technique?.printTechnique.nameTranslations\r\n        .find((t) => t.language.code === 'en')\r\n        ?.text.toUpperCase()\r\n        .includes('SUBLIMATION')\r\n        ? true\r\n        : false;\r\n    },\r\n    isDebossingTechnique: (state) => {\r\n      return (printPositionId?: string, techCode?: string) => {\r\n        if (techCode !== undefined) {\r\n          const printPostion = state.data.productPrintPositions?.find(\r\n            (p) => p.id === printPositionId\r\n          );\r\n          const technique = printPostion?.printTechniques.find(\r\n            (t) => t.printTechnique.code === techCode\r\n          );\r\n\r\n          return (\r\n            technique?.printTechnique.nameTranslations\r\n              .find((t) => t.language.code === 'en')\r\n              ?.text.toUpperCase()\r\n              .includes('DEBOSSING') || false\r\n          );\r\n        } else {\r\n          // if printPositionId is not defined, then we use the one from selectedPrintPosition\r\n          let posId = state.selectedPrintPosition.id;\r\n          let techniqueId = state.selectedPrintPosition.techniqueId;\r\n\r\n          if (printPositionId !== undefined) {\r\n            posId = printPositionId;\r\n            techniqueId = state.unavailablePrintPositions.find(\r\n              (pp) => pp.positionId === posId\r\n            )?.technique.id;\r\n          }\r\n\r\n          const printPostion = state.data.productPrintPositions?.find(\r\n            (p) => p.id === posId\r\n          );\r\n          const technique = printPostion?.printTechniques.find(\r\n            (t) => t.id === techniqueId\r\n          );\r\n          return (\r\n            technique?.printTechnique.nameTranslations\r\n              .find((t) => t.language.code === 'en')\r\n              ?.text.toUpperCase()\r\n              .includes('DEBOSSING') || false\r\n          );\r\n        }\r\n      };\r\n    },\r\n    getDebossingColor: (state) => {\r\n      const variantImage = state.selectedVariant.images?.find(\r\n        (i) => i.printPositionID == state.selectedPrintPosition.id\r\n      );\r\n      if (variantImage && variantImage.mostUsedColor) {\r\n        const debossingColor = hexRgb(variantImage.mostUsedColor);\r\n        return [debossingColor.red, debossingColor.green, debossingColor.blue];\r\n      }\r\n      return [];\r\n    },\r\n    area: (state) => {\r\n      return (positionId?: string) => {\r\n        let currentPosition: ProductPrintPosition = {} as ProductPrintPosition;\r\n\r\n        const printPositions = state.data.productPrintPositions?.filter(\r\n          (position) => {\r\n            return state.unavailablePrintPositions.some((p) => {\r\n              return p.positionId === position.id;\r\n            });\r\n          }\r\n        );\r\n        if (\r\n          positionId === undefined &&\r\n          state.selectedPrintPosition.id !== undefined\r\n        ) {\r\n          const activePosition = printPositions?.find((p) => {\r\n            return p.id === state.selectedPrintPosition.id;\r\n          });\r\n          currentPosition = activePosition as ProductPrintPosition;\r\n        } else {\r\n          currentPosition = printPositions?.find((p) => {\r\n            return p.id === positionId;\r\n          }) as ProductPrintPosition;\r\n        }\r\n\r\n        if (!currentPosition) return [];\r\n\r\n        const { printArea, originalImageWebDpi } = currentPosition;\r\n        const points: ProductPrintAreaPoint[] = (printArea as ProductPrintArea)\r\n          ?.productPrintAreaPoints;\r\n\r\n        if (!points) return [];\r\n\r\n        return [...points]\r\n          .sort((a, b) => (a.sequenceNo > b.sequenceNo ? 1 : -1))\r\n          .map((point: ProductPrintAreaPoint) => {\r\n            return {\r\n              x: mm2px(\r\n                point['distanceFromLeftEdge'],\r\n                originalImageWebDpi === 0 ? 96 : originalImageWebDpi\r\n              ),\r\n              y: mm2px(\r\n                point['distanceFromTop'],\r\n                originalImageWebDpi === 0 ? 96 : originalImageWebDpi\r\n              ),\r\n            };\r\n          });\r\n      };\r\n    },\r\n\r\n    rotation(): number {\r\n      const printArea = this.activePosition.printArea as ProductPrintArea;\r\n      if (printArea) {\r\n        const rotationInDegrees = printArea.rotation as number;\r\n        const rotationInRadians = (rotationInDegrees * Math.PI) / 180;\r\n        return rotationInRadians;\r\n      }\r\n      return 0;\r\n    },\r\n\r\n    printPositions: (state): ProductPrintPosition[] => {\r\n      return state.data.productPrintPositions?.filter((position) => {\r\n        return state.unavailablePrintPositions.some((p) => {\r\n          return p.positionId === position.id;\r\n        });\r\n      });\r\n    },\r\n  },\r\n\r\n  actions: {\r\n    polygonDetails(positionId?: string) {\r\n      const vectors = [];\r\n      for (let i = 0; i < this.area(positionId).length; i++) {\r\n        vectors.push(\r\n          new Vector(this.area(positionId)[i]?.x, this.area(positionId)[i]?.y)\r\n        );\r\n      }\r\n      const polygon = new Polygon(new Vector(0, 0), vectors);\r\n      const centroid = polygon.getCentroid();\r\n\r\n      let min = Number.MAX_VALUE;\r\n\r\n      if (!isConvex(polygon)) {\r\n        const points = [...polygon.points];\r\n        for (let i = 0; i < points.length; i++) {\r\n          const point = points[i].clone();\r\n          const distanceToPoint = point.sub(centroid).len();\r\n          if (distanceToPoint < min) {\r\n            min = distanceToPoint;\r\n          }\r\n        }\r\n      } else {\r\n        const points = [...polygon.points];\r\n        for (let i = 0; i < points.length; i++) {\r\n          let next = i + 1;\r\n          if (next >= points.length) {\r\n            next = 0;\r\n          }\r\n\r\n          // calculate slope ---> (y2-y1)/(x2-x1)\r\n          const k =\r\n            (points[next].y - points[i].y) / (points[next].x - points[i].x);\r\n\r\n          // calcualte n --->  y = kx + n; n = y - kx;\r\n          const n = points[i].y - k * points[i].x;\r\n\r\n          // transform to Ax + By + C = 0 --> - kx + y - n = 0;\r\n          const a = -k;\r\n          const b = 1;\r\n          const c = -n;\r\n\r\n          // calculate distance ---> d = abs(a*x0 + b*y0 + c) / sqrt(a*a + b*b)\r\n          const distanceToSide = Math.abs(\r\n            (a * centroid.x + b * centroid.y + c) / Math.sqrt(a * a + b * b)\r\n          );\r\n          if (distanceToSide < min) {\r\n            min = distanceToSide;\r\n          }\r\n        }\r\n      }\r\n      return {\r\n        x: centroid.x,\r\n        y: centroid.y,\r\n        minDistance: min * 1.5,\r\n      };\r\n    },\r\n    drawPoints(positionId?: string): any | undefined {\r\n      if (!this.area(positionId).length) return;\r\n\r\n      let currentPosition: ProductPrintPosition = {} as ProductPrintPosition;\r\n      if (positionId === undefined) {\r\n        currentPosition = this.activePosition as ProductPrintPosition;\r\n      } else {\r\n        currentPosition = this.printPositions.find(\r\n          (position) => position.id === positionId\r\n        ) as ProductPrintPosition;\r\n      }\r\n      const {\r\n        printArea,\r\n        originalImageWebDpi,\r\n        originalImageWidthPx,\r\n        originalImageDpi,\r\n      } = currentPosition;\r\n      if (printArea?.shapeType === 'Rectangle') {\r\n        const webImageWidthPx =\r\n          (originalImageWidthPx * originalImageWebDpi) / originalImageDpi;\r\n        const rectLineWidth = (lineWidth * webImageWidthPx) / 100;\r\n\r\n        return {\r\n          x: this.area(positionId)[0]?.x - rectLineWidth / 2,\r\n          y: this.area(positionId)[0]?.y - rectLineWidth / 2,\r\n          w: mm2px(printArea.widthMm, originalImageWebDpi) + rectLineWidth,\r\n          h: mm2px(printArea.heightMm, originalImageWebDpi) + rectLineWidth,\r\n        };\r\n      }\r\n      if (printArea?.shapeType === 'Ellipse') {\r\n        return {\r\n          x: (this.area(positionId)[0].x + this.area(positionId)[1].x) / 2,\r\n          y: (this.area(positionId)[0].y + this.area(positionId)[1].y) / 2,\r\n          rx: (this.area(positionId)[1].x - this.area(positionId)[0].x) / 2,\r\n          ry: (this.area(positionId)[1].y - this.area(positionId)[0].y) / 2,\r\n        };\r\n      }\r\n      if (printArea?.shapeType === 'Polygon') {\r\n        return [...this.area(positionId), this.area(positionId)[0]];\r\n      }\r\n    },\r\n    async getProduct(productSKU: string): Promise<ProductPrintData> {\r\n      try {\r\n        const { data } = await printConfigService.get(productSKU);\r\n        this.data = data;\r\n        return data;\r\n      } catch (e) {\r\n        this.errors.push(e as AxiosError);\r\n        throw e;\r\n      }\r\n    },\r\n\r\n    setSelectedVariant(variant: ProductPrintVariant) {\r\n      this.selectedVariant = variant;\r\n    },\r\n\r\n    setSelectedVariants(variants: SelectedProductVariant[]) {\r\n      this.selectedVariants = variants;\r\n    },\r\n\r\n    getVariantLaserColor(\r\n      printPositionId: string,\r\n      techniqueId: string,\r\n      variantSku: string\r\n    ) {\r\n      const printPosition = this.data.productPrintPositions.find(\r\n        (p) => p.id === printPositionId\r\n      );\r\n\r\n      const printTechnique = printPosition?.printTechniques.find(\r\n        (t) => t.id === techniqueId\r\n      );\r\n\r\n      const converters = printTechnique?.printTechnique.converters;\r\n\r\n      const eskoConverters = printTechnique?.printTechnique.eskoConverters;\r\n\r\n      const baseLaser = converters?.find(\r\n        (c) => c.type === 'Laser' && c.variantSku === null\r\n      );\r\n\r\n      let laserConfiguration: LaserConfiguration = {} as LaserConfiguration;\r\n\r\n      let eskoLaserPmsColor: PmsColor | undefined = undefined;\r\n\r\n      const eskoLaserConverter = eskoConverters?.find(\r\n        (c) =>\r\n          c.type === 'Laser' &&\r\n          c.variantSku === variantSku &&\r\n          c.positionName === printPosition?.name\r\n      );\r\n\r\n      if (eskoLaserConverter !== undefined) {\r\n        const eskoLaserConfig = JSON.parse(eskoLaserConverter.configuration);\r\n        const colorManagementStore = useColorsManagmentStore();\r\n\r\n        eskoLaserPmsColor = colorManagementStore.availablePmsColors.find(\r\n          (x) => x.name === eskoLaserConfig.laserColor\r\n        );\r\n\r\n        if (eskoLaserPmsColor) {\r\n          laserConfiguration.laserColor = {\r\n            red: eskoLaserPmsColor.red,\r\n            blue: eskoLaserPmsColor.blue,\r\n            green: eskoLaserPmsColor.green,\r\n          };\r\n\r\n          laserConfiguration.laserPercentage = eskoLaserConfig.laserPercentage;\r\n        }\r\n      }\r\n      if (eskoLaserPmsColor === undefined) {\r\n        const configString =\r\n          converters?.find(\r\n            (c) => c.type === 'Laser' && c.variantSku === variantSku\r\n          )?.configuration || baseLaser?.configuration;\r\n\r\n        laserConfiguration = JSON.parse(configString as string);\r\n      }\r\n\r\n      return laserConfiguration;\r\n    },\r\n\r\n    async deletePrintPosition(id: string) {\r\n      if (!this.unavailablePrintPositions.some((p) => p.positionId === id)) {\r\n        console.warn('Invalid id provided. Cannot delete entity.');\r\n        return;\r\n      }\r\n      /**\r\n       * If we just deleted the last managed remove the reference as well\r\n       */\r\n      if (this.lastManagedPrintPositionId === id) {\r\n        this.lastManagedPrintPositionId = '';\r\n      }\r\n      const removeIndex = this.unavailablePrintPositions.findIndex(\r\n        (p) => p.positionId === id\r\n      );\r\n\r\n      /**\r\n       * Remove item from list of unavailable print positions,\r\n       * thus making it available again\r\n       */\r\n      this.unavailablePrintPositions.splice(removeIndex, 1);\r\n\r\n      /**\r\n       * If we still have some in list show/select the first one\r\n       */\r\n      if (this.unavailablePrintPositions.length > 0) {\r\n        this.setActivePrintPosition(this.unavailablePrintPositions[0]);\r\n      } else {\r\n        /**\r\n         * Other wise just reset the dropdown box\r\n         */\r\n        this.setActivePrintPosition({} as ProductPrintPositionAddModel);\r\n      }\r\n      const exists = this.editedPositions.some((p) => p === id);\r\n      if (!exists) {\r\n        this.editedPositions.push(id);\r\n      }\r\n\r\n      const notificationStore = useNotificationStore();\r\n      notificationStore.resetNotificationsForBell(id);\r\n\r\n      const mirrorStore = useMirrorStore();\r\n      mirrorStore.removeMirrorShape(id);\r\n    },\r\n\r\n    setActivePrintPosition(position: ProductPrintPositionAddModel) {\r\n      const activePosition = this.printPositions?.find((p) => {\r\n        return p.id === position.positionId;\r\n      });\r\n\r\n      if (!activePosition) {\r\n        this.selectedPrintPosition = {} as ProductPrintPositionBoxModel;\r\n      } else {\r\n        this.selectedPrintPosition = {\r\n          id: activePosition.id,\r\n          name: activePosition.name,\r\n          originalImageUrl: activePosition.originalImageUrl,\r\n          originalImageDpi: activePosition.originalImageDpi,\r\n          originalImageWebUrl: activePosition.originalImageWebUrl,\r\n          originalImageWebDpi: activePosition.originalImageWebDpi,\r\n          techniqueName: position.technique.techniqueName,\r\n          techniqueId: position.technique.id,\r\n          maximumColours: activePosition.printTechniques.find((technique) => {\r\n            return technique.id === position?.technique.id;\r\n          })?.maximumColours,\r\n          maxWidthMm: activePosition.maxWidthMm,\r\n          maxHeightMm: activePosition.maxHeightMm,\r\n        };\r\n        this.lastManagedPrintPositionId = activePosition.id;\r\n      }\r\n    },\r\n\r\n    setUnavailablePrintPositions(positions: ProductPrintPositionAddModel[]) {\r\n      this.unavailablePrintPositions = [...positions];\r\n    },\r\n\r\n    setIsProductPrintable(isPrintable: boolean) {\r\n      this.isProductPrintable = isPrintable;\r\n    },\r\n    setIsProcessingOrder(isProcessing: boolean) {\r\n      this.isProcessingOrder = isProcessing;\r\n    },\r\n    setPreviousManagedPrintPositionId(id: string) {\r\n      this.previousManagedPrintPositionId = id;\r\n    },\r\n    updateProductStateFromSnapshot(snapshot: ProductSnapshot) {\r\n      this.$patch((state) => {\r\n        if (snapshot !== undefined) {\r\n          state.unavailablePrintPositions = snapshot.unavailablePrintPositions;\r\n          state.selectedPrintPosition = snapshot.selectedPrintPosition;\r\n          state.lastManagedPrintPositionId =\r\n            snapshot.lastManagedPrintPositionId;\r\n          state.previousManagedPrintPositionId =\r\n            snapshot.previousManagedPrintPositionId;\r\n        }\r\n      });\r\n    },\r\n  },\r\n});\r\n\r\nexport const attachActionSubscriber = (): (() => void) =>\r\n  useStore().$onAction(({ name, store, args, after, onError }) => {\r\n    const shapeStore = useShapeStore();\r\n    const notificationStore = useNotificationStore();\r\n\r\n    after(async (_result: unknown) => {\r\n      if (name === 'deletePrintPosition') {\r\n        const deletedPositionId = args[0];\r\n\r\n        /**\r\n         * Remove all logos assigned to this position\r\n         */\r\n        const affectedShapes = (shape: AnnotationShape) =>\r\n          shapeStore.positionShapeMap.some(\r\n            (psm) => psm.logoId === shape.id && psm.id === deletedPositionId\r\n          );\r\n\r\n        // Find shapes to delete\r\n        const shapesToDelete = shapeStore.shapes.filter(affectedShapes);\r\n        const artworkShapesToDelete = shapesToDelete.filter(\r\n          (s) => s.kind === 'Logo'\r\n        );\r\n        const textShapesToDelete = shapesToDelete.filter(\r\n          (s) => s.kind === 'Text'\r\n        );\r\n        textShapesToDelete.forEach((text) =>\r\n          shapeStore.removeTextPayload(text.id, false)\r\n        );\r\n        artworkShapesToDelete.forEach(async (shapeToDelete) => {\r\n          await shapeStore.removeArtworkPayload(shapeToDelete.id, false); // shapeToDelete.id == personalizationArtworkId\r\n        });\r\n      }\r\n\r\n      if (name === 'setUnavailablePrintPositions') {\r\n        /**\r\n         * If we have previously managed some print position in any way\r\n         * either by adding it or editing it, make that one active in the\r\n         * dropdown list\r\n         */\r\n        const lastInteractedWith = store.unavailablePrintPositions?.find(\r\n          (position) => position.positionId === store.lastManagedPrintPositionId\r\n        );\r\n\r\n        /**\r\n         * lastInteractedWith should track the last edited or last selected\r\n         * position\r\n         */\r\n        if (lastInteractedWith) {\r\n          store.setActivePrintPosition(lastInteractedWith);\r\n        } else {\r\n          console.warn(\r\n            'no lastInteractedWith, setting the first available with lowest sequence number'\r\n          );\r\n          if (store.unavailablePrintPositions.length > 0) {\r\n            store.setActivePrintPosition(store.unavailablePrintPositions[0]);\r\n          }\r\n        }\r\n      }\r\n\r\n      if (name === 'setUnavailablePrintPositions') {\r\n        notificationStore.revalidateEmptyPrintPositions();\r\n      }\r\n    });\r\n\r\n    onError((error) => {\r\n      console.error(`[ error ]: \"${name}\".\\nError: ${error}.`);\r\n    });\r\n  });\r\n","'use strict';\n\nvar $defineProperty = require('es-define-property');\n\nvar $SyntaxError = require('es-errors/syntax');\nvar $TypeError = require('es-errors/type');\n\nvar gopd = require('gopd');\n\n/** @type {import('.')} */\nmodule.exports = function defineDataProperty(\n\tobj,\n\tproperty,\n\tvalue\n) {\n\tif (!obj || (typeof obj !== 'object' && typeof obj !== 'function')) {\n\t\tthrow new $TypeError('`obj` must be an object or a function`');\n\t}\n\tif (typeof property !== 'string' && typeof property !== 'symbol') {\n\t\tthrow new $TypeError('`property` must be a string or a symbol`');\n\t}\n\tif (arguments.length > 3 && typeof arguments[3] !== 'boolean' && arguments[3] !== null) {\n\t\tthrow new $TypeError('`nonEnumerable`, if provided, must be a boolean or null');\n\t}\n\tif (arguments.length > 4 && typeof arguments[4] !== 'boolean' && arguments[4] !== null) {\n\t\tthrow new $TypeError('`nonWritable`, if provided, must be a boolean or null');\n\t}\n\tif (arguments.length > 5 && typeof arguments[5] !== 'boolean' && arguments[5] !== null) {\n\t\tthrow new $TypeError('`nonConfigurable`, if provided, must be a boolean or null');\n\t}\n\tif (arguments.length > 6 && typeof arguments[6] !== 'boolean') {\n\t\tthrow new $TypeError('`loose`, if provided, must be a boolean');\n\t}\n\n\tvar nonEnumerable = arguments.length > 3 ? arguments[3] : null;\n\tvar nonWritable = arguments.length > 4 ? arguments[4] : null;\n\tvar nonConfigurable = arguments.length > 5 ? arguments[5] : null;\n\tvar loose = arguments.length > 6 ? arguments[6] : false;\n\n\t/* @type {false | TypedPropertyDescriptor<unknown>} */\n\tvar desc = !!gopd && gopd(obj, property);\n\n\tif ($defineProperty) {\n\t\t$defineProperty(obj, property, {\n\t\t\tconfigurable: nonConfigurable === null && desc ? desc.configurable : !nonConfigurable,\n\t\t\tenumerable: nonEnumerable === null && desc ? desc.enumerable : !nonEnumerable,\n\t\t\tvalue: value,\n\t\t\twritable: nonWritable === null && desc ? desc.writable : !nonWritable\n\t\t});\n\t} else if (loose || (!nonEnumerable && !nonWritable && !nonConfigurable)) {\n\t\t// must fall back to [[Set]], and was not explicitly asked to make non-enumerable, non-writable, or non-configurable\n\t\tobj[property] = value; // eslint-disable-line no-param-reassign\n\t} else {\n\t\tthrow new $SyntaxError('This environment does not support defining a property as non-configurable, non-writable, or non-enumerable.');\n\t}\n};\n","module.exports = \"data:image/png;base64,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\"","'use strict';\nvar $ = require('../internals/export');\nvar fails = require('../internals/fails');\nvar intersection = require('../internals/set-intersection');\nvar setMethodAcceptSetLike = require('../internals/set-method-accept-set-like');\n\nvar INCORRECT = !setMethodAcceptSetLike('intersection') || fails(function () {\n  // eslint-disable-next-line es/no-array-from, es/no-set -- testing\n  return String(Array.from(new Set([1, 2, 3]).intersection(new Set([3, 2])))) !== '3,2';\n});\n\n// `Set.prototype.intersection` method\n// https://github.com/tc39/proposal-set-methods\n$({ target: 'Set', proto: true, real: true, forced: INCORRECT }, {\n  intersection: intersection\n});\n","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./OrderOverviewProductDataArtworks.vue?vue&type=style&index=0&id=39884b3e&prod&lang=scss&scoped=true\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"30680356\", content, shadowRoot)\n};","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./TheApp.vue?vue&type=style&index=0&id=cefe4200&prod&lang=scss&scoped=true\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"4b47eea2\", content, shadowRoot)\n};","'use strict';\n\n/**\n * A `Cancel` is an object that is thrown when an operation is canceled.\n *\n * @class\n * @param {string=} message The message.\n */\nfunction Cancel(message) {\n  this.message = message;\n}\n\nCancel.prototype.toString = function toString() {\n  return 'Cancel' + (this.message ? ': ' + this.message : '');\n};\n\nCancel.prototype.__CANCEL__ = true;\n\nmodule.exports = Cancel;\n","'use strict';\n\nvar utils = require('./../utils');\n\nmodule.exports = (\n  utils.isStandardBrowserEnv() ?\n\n  // Standard browser envs support document.cookie\n    (function standardBrowserEnv() {\n      return {\n        write: function write(name, value, expires, path, domain, secure) {\n          var cookie = [];\n          cookie.push(name + '=' + encodeURIComponent(value));\n\n          if (utils.isNumber(expires)) {\n            cookie.push('expires=' + new Date(expires).toGMTString());\n          }\n\n          if (utils.isString(path)) {\n            cookie.push('path=' + path);\n          }\n\n          if (utils.isString(domain)) {\n            cookie.push('domain=' + domain);\n          }\n\n          if (secure === true) {\n            cookie.push('secure');\n          }\n\n          document.cookie = cookie.join('; ');\n        },\n\n        read: function read(name) {\n          var match = document.cookie.match(new RegExp('(^|;\\\\s*)(' + name + ')=([^;]*)'));\n          return (match ? decodeURIComponent(match[3]) : null);\n        },\n\n        remove: function remove(name) {\n          this.write(name, '', Date.now() - 86400000);\n        }\n      };\n    })() :\n\n  // Non standard browser env (web workers, react-native) lack needed support.\n    (function nonStandardBrowserEnv() {\n      return {\n        write: function write() {},\n        read: function read() { return null; },\n        remove: function remove() {}\n      };\n    })()\n);\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".bx--dropdown[data-v-57a4bc0e]{border-bottom:none}#toolbar--is_scoped[data-v-57a4bc0e]{position:absolute;top:0;left:0;z-index:1;border-right:1px solid #e0e0e0;height:100%;width:48px;margin-top:48px;display:flex;flex-direction:column;justify-content:space-between}#toolbar--is_scoped .section-top [class*=group-][data-v-57a4bc0e]{border-bottom:1px solid #e0e0e0}#toolbar--is_scoped .section-bottom [class*=group-][data-v-57a4bc0e]{border-top:1px solid #e0e0e0}#toolbar--is_scoped .section-bottom [class*=group-] .tool[data-v-57a4bc0e]{height:40px}#toolbar--is_scoped .tool[data-v-57a4bc0e]{display:flex;align-items:center;justify-content:center}#toolbar--is_scoped .tool .bx--btn--ghost[data-v-57a4bc0e]{color:#161616;padding-left:.8275rem;padding-right:.8rem}#toolbar--is_scoped .tool .bx--btn[data-v-57a4bc0e]{height:48px;width:48px;justify-content:center}#toolbar--is_scoped .bx--btn[data-v-57a4bc0e]:disabled{border-color:transparent;background-color:#eee}#toolbar--is_scoped .active-mode[data-v-57a4bc0e]{background-color:#ddd9d9}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","'use strict';\nvar requireObjectCoercible = require('../internals/require-object-coercible');\n\nvar $Object = Object;\n\n// `ToObject` abstract operation\n// https://tc39.es/ecma262/#sec-toobject\nmodule.exports = function (argument) {\n  return $Object(requireObjectCoercible(argument));\n};\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".pintura-sticker-editor{--editor-modal-overlay-opacity:0.65;--editor-modal-border-radius:1.5rem;--editor-max-width:48%;--editor-max-height:50%}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","/**\n * Copyright IBM Corp. 2019, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nimport { getAttributes } from '@carbon/icon-helpers';\nimport * as Vue from 'vue';\n\n/**\n * Copyright IBM Corp. 2018, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n */\n\n// Note: we dynamically access keys on the Vue namespace so that rollup does not\n// automatically rewrite the binding into `import { h } from 'vue'` as this is\n// currently causing issues in Vue 2 environments\nfunction getVueExport(key) {\n  return Vue[key];\n}\nconst h = getVueExport('h');\nconst createApp = getVueExport('createApp');\nconst getSvgAttrs = (title, svgAttrs, componentAttrs) => {\n  return getAttributes({\n    ...svgAttrs,\n    preserveAspectRatio: 'xMidYMid meet',\n    xmlns: 'http://www.w3.org/2000/svg',\n    // Special case here, we need to coordinate that we are using title,\n    // potentially, to get the right focus attributes\n    title,\n    ...componentAttrs\n  });\n};\nconst getVue2SvgAttrs = (title, svgAttrs, data, listeners) => {\n  const result = {\n    attrs: getSvgAttrs(title, svgAttrs, data.attrs),\n    on: listeners,\n    style: {\n      ...data.staticStyle,\n      ...data.style\n    }\n  };\n\n  // remove style set by getAttributes\n  delete result.attrs.style;\n  if (data.staticClass || data.class) {\n    result.class = {};\n    if (data.staticClass) {\n      result.class[data.staticClass] = true;\n    }\n    if (data.class) {\n      result.class[data.class] = true;\n    }\n  }\n  return result;\n};\nconst createSVGComponent = (name, svgAttrs, svgContent) => ({\n  // We use title as a prop name for the component\n  // as it is not a valid attribute for an SVG HTML element\n  props: {\n    title: String\n  },\n  name: name,\n  ...(createApp ? {\n    // Vue 3 component\n    setup(_ref, _ref2) {\n      let {\n        title\n      } = _ref;\n      let {\n        attrs: componentAttrs,\n        slots\n      } = _ref2;\n      return () => h('svg', getSvgAttrs(title, svgAttrs, componentAttrs), [...(title ? [h('title', title)] : []), ...svgContent.map(_ref3 => {\n        let {\n          elem,\n          attrs\n        } = _ref3;\n        return h(elem, attrs);\n      }), ...(slots.default ? slots.default() : [])]);\n    }\n  } : {\n    // Vue 2 component\n    functional: true,\n    render(createElement, _ref4) {\n      let {\n        props: {\n          title\n        },\n        children,\n        data,\n        listeners\n      } = _ref4;\n      return createElement('svg', getVue2SvgAttrs(title, svgAttrs, data, listeners), [...(title ? [createElement('title', null, title)] : []), ...svgContent.map(_ref5 => {\n        let {\n          elem,\n          attrs\n        } = _ref5;\n        return createElement(elem, {\n          attrs: attrs\n        });\n      }), ...(children || [])]);\n    }\n  })\n});\n\nexport { createSVGComponent as c };\n","import {\r\n  AnnotationShape,\r\n  LogoShape,\r\n  TextShape,\r\n  Text,\r\n} from '@/web-components/import-wizard/typings/pintura';\r\nimport axios from 'axios';\r\nimport { textShapes, useStore as useShapeStore } from '@/stores/shape';\r\nimport { useStore as useProductStore } from '@/stores/product';\r\nimport { useStore as useActionStore } from '@/stores/action';\r\nimport { useStore as useMirrorStore } from '@/stores/mirror';\r\nimport { useStore as useNotificationStore } from '@/stores/notification';\r\nimport { useStore as useColorsManagementStore } from '@/stores/colorsManagement';\r\nimport { calculatePrintArea } from './index';\r\nimport { determineRangeSAPCode } from '@/utils/generatePriceParamsEventPayload';\r\nimport { px2mm } from '@/utils';\r\nimport { format } from 'date-fns';\r\nimport { DoSmallDetailsPart } from '@/constants/imageProcessingEngine';\r\nimport {\r\n  NewProofForm,\r\n  NewProductPrintPositionForms,\r\n  CategoryConfiguration,\r\n  LanyardConfiguration,\r\n  RegularConfiguration,\r\n  PmsColor,\r\n  ProductPrintPosition,\r\n  PrintTechnique,\r\n  Category,\r\n} from '@midocean/webapps-shared-domain';\r\n\r\nexport async function convertToBlob(fileUrl: string): Promise<Blob> {\r\n  const res = await axios({\r\n    url: fileUrl,\r\n    method: 'GET',\r\n    responseType: 'blob',\r\n  });\r\n  return res.data;\r\n}\r\n\r\nexport async function getArtworkFiles(\r\n  shapes: AnnotationShape[]\r\n): Promise<File[]> {\r\n  const logoShapes: LogoShape[] = shapes.filter(\r\n    (x) => x.kind === 'Logo'\r\n  ) as LogoShape[];\r\n\r\n  return await Promise.all(\r\n    logoShapes.map(async (artwork) => {\r\n      const imageBlob =\r\n        artwork.variantArtworkImages && artwork.variantArtworkImages.length > 0\r\n          ? artwork.pngFileWithoutConverters\r\n          : artwork.pngFile;\r\n      return new File([imageBlob], artwork.personalizationArtworkId, {\r\n        type: 'image/png',\r\n      });\r\n    })\r\n  );\r\n}\r\n\r\nexport function getSmallDetailsFiles(shapes: AnnotationShape[]): File[] {\r\n  const files: File[] = [];\r\n  const logoShapes: LogoShape[] = shapes.filter(\r\n    (x) => x.kind === 'Logo'\r\n  ) as LogoShape[];\r\n\r\n  const textShapes: TextShape[] = shapes.filter(\r\n    (x) => x.kind === 'Text'\r\n  ) as TextShape[];\r\n\r\n  logoShapes.map((a) => {\r\n    if (a.smallDetailsResult) {\r\n      files.push(\r\n        new File(\r\n          [a.smallDetailsResult.pngFileBlob],\r\n          a.personalizationArtworkId,\r\n          {\r\n            type: 'image/png',\r\n          }\r\n        )\r\n      );\r\n    }\r\n  });\r\n\r\n  textShapes.map((t) => {\r\n    if (t.smallDetailsResult) {\r\n      files.push(\r\n        new File([t.smallDetailsResult.pngFileBlob], t.id, {\r\n          type: 'image/png',\r\n        })\r\n      );\r\n    }\r\n  });\r\n\r\n  return files;\r\n}\r\n\r\nexport function getTextFiles(shapes: AnnotationShape[]): File[] {\r\n  const files: File[] = [];\r\n  const textShapes: TextShape[] = shapes.filter(\r\n    (x) => x.kind === 'Text'\r\n  ) as TextShape[];\r\n\r\n  textShapes.map((t) => {\r\n    files.push(\r\n      new File([t.pngFileWithoutConverters], t.id, {\r\n        type: 'image/png',\r\n      })\r\n    );\r\n  });\r\n\r\n  return files;\r\n}\r\n\r\nexport function getVariantFiles(shapes: AnnotationShape[]): File[] {\r\n  const variantFiles: File[] = [];\r\n\r\n  shapes.forEach((artwork) => {\r\n    if (artwork.variantArtworkImages) {\r\n      artwork.variantArtworkImages.forEach((previewImage) => {\r\n        variantFiles.push(\r\n          new File(\r\n            [previewImage.variantArtworkPng],\r\n            artwork.id + '@' + previewImage.variantColor,\r\n            {\r\n              type: 'image/png',\r\n            }\r\n          )\r\n        );\r\n      });\r\n    }\r\n  });\r\n  return variantFiles;\r\n}\r\n\r\nexport const getPositionImageDPI = (\r\n  positionId: string,\r\n  productPrintPositions: ProductPrintPosition[]\r\n): number => {\r\n  return productPrintPositions?.find((p) => p.id === positionId)\r\n    ?.originalImageWebDpi as number;\r\n};\r\n\r\nexport const getPrintTechniqueSapCode = (\r\n  pId: string,\r\n  tId: string,\r\n  productPrintPositions: ProductPrintPosition[]\r\n): string => {\r\n  return productPrintPositions\r\n    .filter((p) => p.id === pId)\r\n    .map(({ printTechniques }) =>\r\n      printTechniques?.find((pt) => pt.id === tId)\r\n    )[0]?.printTechnique?.code as string;\r\n};\r\n\r\nexport const getPrintTechnique = (\r\n  pId: string,\r\n  tId: string,\r\n  productPrintPositions: ProductPrintPosition[]\r\n): PrintTechnique | undefined => {\r\n  return productPrintPositions\r\n    .filter((p) => p.id === pId)\r\n    .map(({ printTechniques }) =>\r\n      printTechniques?.find((t) => t.id === tId)\r\n    )[0];\r\n};\r\n\r\nexport const getConvertedColorToPms = (\r\n  colorName: string,\r\n  availablePmsColors: PmsColor[]\r\n): PmsColor | undefined => {\r\n  return availablePmsColors?.find((color) => {\r\n    return color.name === colorName;\r\n  });\r\n};\r\n\r\nexport const logosByPosition = (\r\n  positionId: string,\r\n  shapes: AnnotationShape[],\r\n  positionShapeMap: Record<string, string>[]\r\n): LogoShape[] =>\r\n  shapes.filter((shape) =>\r\n    positionShapeMap.some(\r\n      (psm) =>\r\n        psm.id === positionId &&\r\n        psm.logoId === shape.id &&\r\n        shape.kind === 'Logo'\r\n    )\r\n  ) as LogoShape[];\r\n\r\nexport const textsByPosition = (\r\n  positionId: string,\r\n  shapes: AnnotationShape[],\r\n  positionShapeMap: Record<string, string>[]\r\n): TextShape[] =>\r\n  shapes\r\n    .filter((shape) =>\r\n      positionShapeMap.some(\r\n        (psm) => psm.id === positionId && psm.logoId === shape.id\r\n      )\r\n    )\r\n    .filter(textShapes) as TextShape[];\r\n\r\nexport const convertedColorToPms = (text: Text): PmsColor => {\r\n  return {\r\n    name: text.colorName,\r\n    originalName: text.colorName,\r\n    red: text.color[0],\r\n    green: text.color[1],\r\n    blue: text.color[2],\r\n    colorFuzz: 4,\r\n    isOriginalSpotColor: false,\r\n  } as PmsColor;\r\n};\r\n\r\nexport const mapProductCategoryConfiguration = (\r\n  productPrintPosition: ProductPrintPosition\r\n): CategoryConfiguration => {\r\n  const mirrorStore = useMirrorStore();\r\n\r\n  switch (productPrintPosition.category) {\r\n    case Category.Lanyard: {\r\n      const mirrorSettings = mirrorStore.positionMirrorSettings.find(\r\n        (x) => x.positionId === productPrintPosition.id\r\n      );\r\n      return {\r\n        $type:\r\n          'Customers.Domain.Models.LanayrdPrintPositionCategoryConfiguration, Customers.Domain',\r\n        isMirrorApplied: mirrorSettings?.isMirrorApplied,\r\n        isOppositeRotationApplied: mirrorSettings?.isOppositeRotationApplied,\r\n      } as LanyardConfiguration;\r\n    }\r\n    default: {\r\n      return {\r\n        $type:\r\n          'Customers.Domain.Models.RegularPrintPositionCategoryConfiguration, Customers.Domain',\r\n      } as RegularConfiguration;\r\n    }\r\n  }\r\n};\r\n\r\nexport function getProofFormFromState(isPdfPreview: boolean): NewProofForm {\r\n  const productStore = useProductStore();\r\n  const shapeStore = useShapeStore();\r\n\r\n  for (let i = 0; i < shapeStore.shapes.length; i++) {\r\n    shapeStore.shapes[i].zindex = i;\r\n  }\r\n\r\n  const actionStore = useActionStore();\r\n  const colorsManagementStore = useColorsManagementStore();\r\n\r\n  const newProofForm: NewProofForm = {\r\n    newProductPrintPositionForms: productStore.unavailablePrintPositions.map(\r\n      (u) => {\r\n        const productPrintPositions = productStore.printPositions;\r\n        const dpi = getPositionImageDPI(u.positionId, productPrintPositions);\r\n        const positions = shapeStore.positionShapeMap.filter(\r\n          (position: Record<string, string>) => {\r\n            return position.id === u.positionId;\r\n          }\r\n        );\r\n\r\n        const { width, height } = calculatePrintArea(\r\n          dpi,\r\n          positions,\r\n          shapeStore.shapes\r\n        );\r\n\r\n        const printTechnique = getPrintTechnique(\r\n          u.positionId,\r\n          u.technique.id,\r\n          productPrintPositions\r\n        ) as PrintTechnique;\r\n\r\n        const productPrintPosition = productStore.printPositions.find(\r\n          (x) => x.id === u.positionId\r\n        );\r\n\r\n        return {\r\n          name: u.positionName,\r\n          SAPCode: u.positionName,\r\n          printSizeWidthMm: width,\r\n          printSizeHeightMm: height,\r\n          category: productPrintPosition?.category ?? Category.Regular,\r\n          categoryConfiguration: productPrintPosition\r\n            ? mapProductCategoryConfiguration(productPrintPosition)\r\n            : null,\r\n          productPrintTechnique: {\r\n            name: u.technique.techniqueName,\r\n            SAPCode: getPrintTechniqueSapCode(\r\n              u.positionId,\r\n              u.technique.id,\r\n              productPrintPositions\r\n            ),\r\n            SAPRangeCode: determineRangeSAPCode(width, height, printTechnique),\r\n          },\r\n          personalizationTexts: textsByPosition(\r\n            u.positionId,\r\n            shapeStore.shapes,\r\n            shapeStore.positionShapeMap\r\n          ).map((text) => {\r\n            const angle = ((text.rotation as number) * 180) / Math.PI;\r\n\r\n            return {\r\n              id: text.id,\r\n              zIndex: text.zindex,\r\n              distanceFromTop: px2mm(text.y as number, dpi),\r\n              distanceFromLeft: px2mm(text.x as number, dpi),\r\n              width: px2mm(text.width as number, dpi),\r\n              height: px2mm(text.height as number, dpi),\r\n              rotationAngle: angle.toFixed(),\r\n              font: text.w2pText.fontFamily,\r\n              fontSize: text.w2pText.fontSizePT,\r\n              bold: text.w2pText.fontWeight === 'bold',\r\n              italic: text.w2pText.fontStyle === 'italic',\r\n              underline: false,\r\n              text: text.w2pText.text,\r\n              textHtml: text.w2pText.textHtml,\r\n              textAlignement: text.w2pText.textAlign,\r\n              pmsColorInfo: convertedColorToPms(text.w2pText),\r\n              originalWidthMM: text.originalWidthMM,\r\n              originalHeightMM: text.originalHeightMM,\r\n              variantArtworkImages: text.variantArtworkImages,\r\n              smallDetails:\r\n                DoSmallDetailsPart &&\r\n                text &&\r\n                text.smallDetailsResult &&\r\n                text.smallDetailsResult.status !== 'NoCheck'\r\n                  ? {\r\n                      positiveLoss: text.smallDetailsResult.positiveDetailsLoss,\r\n                      negativeLoss: text.smallDetailsResult.negativeDetailsLoss,\r\n                      status: text.smallDetailsResult.status,\r\n                      calculatedQuality:\r\n                        text.smallDetailsResult.calculatedQuality,\r\n                      approvedAt:\r\n                        !isPdfPreview && text.smallDetailsResult.approvedAt\r\n                          ? getUtcDateTime(text.smallDetailsResult.approvedAt)\r\n                          : null,\r\n                    }\r\n                  : null,\r\n            };\r\n          }),\r\n          personalizationArtworks: logosByPosition(\r\n            u.positionId,\r\n            shapeStore.shapes,\r\n            shapeStore.positionShapeMap\r\n          ).map((artwork) => {\r\n            const shape = shapeStore.shapes?.find((x) => x.id === artwork.id);\r\n            const angle = ((shape?.rotation as number) * 180) / Math.PI;\r\n            return {\r\n              id: artwork.personalizationArtworkId,\r\n              zIndex: artwork.zindex,\r\n              isRoundLogo: artwork.isRoundLogo,\r\n              widthWithCropping: px2mm(shape?.width as number, dpi),\r\n              heightWithCropping: px2mm(shape?.height as number, dpi),\r\n              pmsColorsInPngFile: artwork.pmsColorsInPngFile,\r\n              originalWidthMM: artwork.originalWidthMM,\r\n              originalHeightMM: artwork.originalHeightMM,\r\n              originalVerticalResolutionDPIs:\r\n                artwork.originalVerticalResolutionDPIs,\r\n              originalHorizontalResolutionDPIs:\r\n                artwork.originalHorizontalResolutionDPIs,\r\n              pngHorizontalResolutionDPIs:\r\n                artwork.pngHorizontalResolutionDPIs.toFixed(), // NOTE: Recalculate DPIs using formula\r\n              pngVerticalResolutionDPIs:\r\n                artwork.pngVerticalResolutionDPIs.toFixed(), // NOTE: Recalculate DPIs using formula\r\n              pngFileUrl: artwork.pngFileUrl,\r\n              pngWidthPixels: artwork.pngWidthPixels,\r\n              pngHeightPixels: artwork.pngHeightPixels,\r\n              distanceFromTopWithCropping: px2mm(shape?.y as number, dpi),\r\n              distanceFromLeftWithCropping: px2mm(shape?.x as number, dpi),\r\n              rotationAngle: angle.toFixed(),\r\n              title: artwork.title,\r\n              fileName: artwork.fileName,\r\n              isVectorFileTrueVectorFile: artwork.isVectorFileTrueVectorFile,\r\n              originalFileUrl: artwork.originalFileUrl,\r\n\r\n              userActions: actionStore.prepareActionsPayload(\r\n                artwork.personalizationArtworkId\r\n              ),\r\n              smallDetails:\r\n                DoSmallDetailsPart &&\r\n                shape &&\r\n                shape.smallDetailsResult &&\r\n                shape.smallDetailsResult.status !== 'NoCheck'\r\n                  ? {\r\n                      positiveLoss:\r\n                        shape.smallDetailsResult.positiveDetailsLoss,\r\n                      negativeLoss:\r\n                        shape.smallDetailsResult.negativeDetailsLoss,\r\n                      status: shape.smallDetailsResult.status,\r\n                      calculatedQuality:\r\n                        shape.smallDetailsResult.calculatedQuality,\r\n                      approvedAt:\r\n                        !isPdfPreview && shape.smallDetailsResult.approvedAt\r\n                          ? getUtcDateTime(shape.smallDetailsResult.approvedAt)\r\n                          : null,\r\n                    }\r\n                  : null,\r\n            };\r\n          }),\r\n        } as unknown as NewProductPrintPositionForms;\r\n      }\r\n    ),\r\n  };\r\n\r\n  return newProofForm;\r\n}\r\n\r\nexport function getUtcDateTime(dateString: string): Date {\r\n  return new Date(\r\n    format(new Date(dateString.slice(0, -1)), 'yyyy-MM-dd HH:mm:ss')\r\n  );\r\n}\r\n\r\nexport function isShapeColorChanged(): boolean | undefined {\r\n  const shapeStore = useShapeStore();\r\n  const productStore = useProductStore();\r\n  const colorsManagementStore = useColorsManagementStore();\r\n  const posShapes = shapeStore.positionShapeMap.filter(\r\n    (element) => element.id === productStore.activePosition.id\r\n  );\r\n  let shapeColorElement: PmsColor | undefined;\r\n  //let isAvailablePmsColor = true;\r\n\r\n  shapeStore.shapes.forEach((shape: AnnotationShape) => {\r\n    if (\r\n      shape.kind === 'Logo' &&\r\n      posShapes.find((element) => element.logoId === shape.id)\r\n    ) {\r\n      shapeColorElement = shape.pmsColorsInPngFile.find(\r\n        (color: PmsColor) =>\r\n          color.name !== color.originalName && color.originalName !== undefined\r\n      );\r\n    }\r\n  });\r\n\r\n  // if (shapeColorElement) {\r\n  //   isAvailablePmsColor =\r\n  //     Object.keys(\r\n  //       colorsManagementStore.availablePmsColors?.find((c) => {\r\n  //         return c.name === shapeColorElement?.originalName;\r\n  //       }) || ({} as PmsColor)\r\n  //     ).length !== 0;\r\n  // }\r\n\r\n  return shapeColorElement !== undefined; //&& !isAvailablePmsColor;\r\n}\r\n","export * from \"-!../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./ItemActions.vue?vue&type=style&index=0&id=be1d0792&prod&lang=scss&scoped=true\"","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".bx--size[data-v-7d258c63]{width:319px;height:67px}.bx--dropdown[data-v-7d258c63]{border-bottom:none;width:300px;min-height:4rem;border-right:1px solid #e0e0e0;font-family:IBM Plex Sans,Helvetica Neue,Arial,sans-serif!important}.bx--dropdown-list[data-v-7d258c63]{background-color:#fff}.bx--dropdown__wrapper[data-v-7d258c63]{grid-gap:0}.bx--list-box__label[data-v-7d258c63]{width:280px}.bx--dropdown-link[data-v-7d258c63]{border-top-color:#e0e0e0!important;margin-left:0;margin-right:0;padding-left:15px;height:100%}.bx--dropdown--open .bx--dropdown-list[data-v-7d258c63]{max-height:700px!important}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","export * from \"-!../../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./MethodSelectorTile.vue?vue&type=style&index=0&id=28284726&prod&lang=scss\"","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./LanyardPanelOptions.vue?vue&type=style&index=1&id=1dbf1d0a&prod&lang=scss\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"7998b044\", content, shadowRoot)\n};","export * from \"-!../../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./ActionsPanel.vue?vue&type=style&index=1&id=90b8cca0&prod&lang=scss\"","'use strict';\nvar aCallable = require('../internals/a-callable');\nvar anObject = require('../internals/an-object');\nvar call = require('../internals/function-call');\nvar toIntegerOrInfinity = require('../internals/to-integer-or-infinity');\nvar getIteratorDirect = require('../internals/get-iterator-direct');\n\nvar INVALID_SIZE = 'Invalid size';\nvar $RangeError = RangeError;\nvar $TypeError = TypeError;\nvar max = Math.max;\n\nvar SetRecord = function (set, intSize) {\n  this.set = set;\n  this.size = max(intSize, 0);\n  this.has = aCallable(set.has);\n  this.keys = aCallable(set.keys);\n};\n\nSetRecord.prototype = {\n  getIterator: function () {\n    return getIteratorDirect(anObject(call(this.keys, this.set)));\n  },\n  includes: function (it) {\n    return call(this.has, this.set, it);\n  }\n};\n\n// `GetSetRecord` abstract operation\n// https://tc39.es/proposal-set-methods/#sec-getsetrecord\nmodule.exports = function (obj) {\n  anObject(obj);\n  var numSize = +obj.size;\n  // NOTE: If size is undefined, then numSize will be NaN\n  // eslint-disable-next-line no-self-compare -- NaN check\n  if (numSize !== numSize) throw new $TypeError(INVALID_SIZE);\n  var intSize = toIntegerOrInfinity(numSize);\n  if (intSize < 0) throw new $RangeError(INVALID_SIZE);\n  return new SetRecord(obj, intSize);\n};\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".method--selector{background-color:#fff;width:30%}.method--selector label{height:-moz-fit-content;height:fit-content;height:100%}.method--title{font-size:16px;font-weight:700;color:#161616;line-height:1.38}.method--title span{word-wrap:break-word}.method--description{display:flex;flex-direction:column}.method--description-item{display:flex;flex-direction:row;padding:3px;line-height:18px}.method--description-item-name{font-size:14px;letter-spacing:.16px;color:#161616;word-break:break-word}.method--description-item-availability{padding-right:5px}.method--description-item-availability--available{color:#24a148}.method--description-item-availability--unavailable-text{color:#a8a8a8}.method--description-item-availability--unavailable-close{color:#da1e28}.method--rectangle{height:60px;border-radius:2px;margin:22px 0 35px}.method--most-used{background:#24a148}.method--most-used,.method--simple{width:100%;padding:10px;font-weight:700;text-align:center;color:#fff;text-transform:uppercase;z-index:111}.method--simple{background:#3b3a3a}.method-center{display:flex;flex-direction:column;align-items:center;width:100%;margin-top:20px}.tile--all{align-items:center;overflow:hidden}.tile--middle{height:unset;position:relative}.bx--tile-content{display:flex;flex-direction:column;align-items:flex-start}.bx--tile--selectable{background-color:#fff;padding-right:1rem;border-top:none}.active-tile{box-shadow:-1px -3px 5px 1px #d3d3d3;transform:scale(1.02);border:1px solid #161616;z-index:1111}.not-active-tile{border:.5px solid #e0e0e0!important}.bx--tile--is-selected{border:none!important}.bx--tile__checkmark{z-index:1111}.bx--tile__checkmark svg{fill:#24a148!important}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".slide-enter-active,.slide-leave-active{transition:transform .2s ease}.slide-enter,.slide-leave-to{transform:translateX(100%);transition:all .15s ease-in 0s}.sidebar-backdrop{background-color:#161616;width:100%;cursor:pointer;opacity:.5}.sidebar-backdrop,.sidebar-panel{position:absolute;top:0;left:0;bottom:0}.sidebar-panel{overflow-y:auto;background-color:#fff;width:35%;margin-left:65%;padding-top:51px}.slidebar-panel__flex-end{display:flex;justify-content:flex-end}.slidebar-panel__row{display:flex;margin:2%;margin-left:0;padding-bottom:3%;border-bottom:1px solid #c6c6c6}.slidebar-panel__column{flex:50%;padding-left:16px}.slidebar-panel__actions{width:100%;position:sticky;top:100%;height:64px;z-index:inherit}.bx--btn__color{color:#161616}.editLoader{position:absolute}.sidebar-panel h4{font-size:20px}.sidebar-panel .bx--file--label,.sidebar-panel .bx--file__drop-container,.sidebar-panel .bx--label,.sidebar-panel .bx--label-description{font-size:14px}.sidebar-panel .bx--form__helper-text,.sidebar-panel .bx--text-input{font-size:12px}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","export * from \"-!../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./TotalPricing.vue?vue&type=style&index=0&id=82c49b48&prod&lang=scss\"","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PreviewSection.vue?vue&type=style&index=0&id=5ac16ed0&prod&lang=scss\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"e09ae4d6\", content, shadowRoot)\n};","'use strict';\nvar isObject = require('../internals/is-object');\n\nvar $String = String;\nvar $TypeError = TypeError;\n\n// `Assert: Type(argument) is Object`\nmodule.exports = function (argument) {\n  if (isObject(argument)) return argument;\n  throw new $TypeError($String(argument) + ' is not an object');\n};\n","'use strict';\n// TODO: Remove from `core-js@4`\nrequire('../modules/es.set.union.v2');\n","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./ProductVariations.vue?vue&type=style&index=0&id=08cc9246&prod&lang=scss&scoped=true\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"3c871648\", content, shadowRoot)\n};","'use strict';\nvar fails = require('../internals/fails');\n\n// Detect IE8's incomplete defineProperty implementation\nmodule.exports = !fails(function () {\n  // eslint-disable-next-line es/no-object-defineproperty -- required for testing\n  return Object.defineProperty({}, 1, { get: function () { return 7; } })[1] !== 7;\n});\n","'use strict';\nvar SetHelpers = require('../internals/set-helpers');\nvar iterate = require('../internals/set-iterate');\n\nvar Set = SetHelpers.Set;\nvar add = SetHelpers.add;\n\nmodule.exports = function (set) {\n  var result = new Set();\n  iterate(set, function (it) {\n    add(result, it);\n  });\n  return result;\n};\n","'use strict';\n\nvar isAbsoluteURL = require('../helpers/isAbsoluteURL');\nvar combineURLs = require('../helpers/combineURLs');\n\n/**\n * Creates a new URL by combining the baseURL with the requestedURL,\n * only when the requestedURL is not already an absolute URL.\n * If the requestURL is absolute, this function returns the requestedURL untouched.\n *\n * @param {string} baseURL The base URL\n * @param {string} requestedURL Absolute or relative URL to combine\n * @returns {string} The combined full path\n */\nmodule.exports = function buildFullPath(baseURL, requestedURL) {\n  if (baseURL && !isAbsoluteURL(requestedURL)) {\n    return combineURLs(baseURL, requestedURL);\n  }\n  return requestedURL;\n};\n","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./W2PPintura.vue?vue&type=style&index=1&id=6fe1c071&prod&lang=scss\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"26aa0051\", content, shadowRoot)\n};","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../node_modules/css-loader/dist/cjs.js??ref--7-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--7-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--7-oneOf-1-3!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./LanyardPanel.vue?vue&type=style&index=0&id=595e6565&prod&scoped=true&lang=css\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"31b32409\", content, shadowRoot)\n};","'use strict';\n\nvar pkg = require('./../../package.json');\n\nvar validators = {};\n\n// eslint-disable-next-line func-names\n['object', 'boolean', 'number', 'function', 'string', 'symbol'].forEach(function(type, i) {\n  validators[type] = function validator(thing) {\n    return typeof thing === type || 'a' + (i < 1 ? 'n ' : ' ') + type;\n  };\n});\n\nvar deprecatedWarnings = {};\nvar currentVerArr = pkg.version.split('.');\n\n/**\n * Compare package versions\n * @param {string} version\n * @param {string?} thanVersion\n * @returns {boolean}\n */\nfunction isOlderVersion(version, thanVersion) {\n  var pkgVersionArr = thanVersion ? thanVersion.split('.') : currentVerArr;\n  var destVer = version.split('.');\n  for (var i = 0; i < 3; i++) {\n    if (pkgVersionArr[i] > destVer[i]) {\n      return true;\n    } else if (pkgVersionArr[i] < destVer[i]) {\n      return false;\n    }\n  }\n  return false;\n}\n\n/**\n * Transitional option validator\n * @param {function|boolean?} validator\n * @param {string?} version\n * @param {string} message\n * @returns {function}\n */\nvalidators.transitional = function transitional(validator, version, message) {\n  var isDeprecated = version && isOlderVersion(version);\n\n  function formatMessage(opt, desc) {\n    return '[Axios v' + pkg.version + '] Transitional option \\'' + opt + '\\'' + desc + (message ? '. ' + message : '');\n  }\n\n  // eslint-disable-next-line func-names\n  return function(value, opt, opts) {\n    if (validator === false) {\n      throw new Error(formatMessage(opt, ' has been removed in ' + version));\n    }\n\n    if (isDeprecated && !deprecatedWarnings[opt]) {\n      deprecatedWarnings[opt] = true;\n      // eslint-disable-next-line no-console\n      console.warn(\n        formatMessage(\n          opt,\n          ' has been deprecated since v' + version + ' and will be removed in the near future'\n        )\n      );\n    }\n\n    return validator ? validator(value, opt, opts) : true;\n  };\n};\n\n/**\n * Assert object's properties type\n * @param {object} options\n * @param {object} schema\n * @param {boolean?} allowUnknown\n */\n\nfunction assertOptions(options, schema, allowUnknown) {\n  if (typeof options !== 'object') {\n    throw new TypeError('options must be an object');\n  }\n  var keys = Object.keys(options);\n  var i = keys.length;\n  while (i-- > 0) {\n    var opt = keys[i];\n    var validator = schema[opt];\n    if (validator) {\n      var value = options[opt];\n      var result = value === undefined || validator(value, opt, options);\n      if (result !== true) {\n        throw new TypeError('option ' + opt + ' must be ' + result);\n      }\n      continue;\n    }\n    if (allowUnknown !== true) {\n      throw Error('Unknown option ' + opt);\n    }\n  }\n}\n\nmodule.exports = {\n  isOlderVersion: isOlderVersion,\n  assertOptions: assertOptions,\n  validators: validators\n};\n","export * from \"-!../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./TheApp.vue?vue&type=style&index=0&id=49f655d7&prod&lang=scss&scoped=true\"","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PrintTechniqueImage.vue?vue&type=style&index=0&id=12e3f52e&prod&lang=scss&scoped=true\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"3edd6c03\", content, shadowRoot)\n};","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".small-details[data-v-e4d436f2]{padding:0!important}.close-icon[data-v-e4d436f2]{position:absolute;right:7px;cursor:pointer;top:0}.close-icon[data-v-e4d436f2]:hover{background:#d3d3d3}.row[data-v-e4d436f2]{display:flex}.column[data-v-e4d436f2]{float:left}.ml-5[data-v-e4d436f2]{margin-left:5px}.ml-20[data-v-e4d436f2]{margin-left:20px}.ml-15[data-v-e4d436f2]{margin-left:15px}.mr-20[data-v-e4d436f2]{margin-right:20px}.fs-20[data-v-e4d436f2]{font-size:20px}.fs-14[data-v-e4d436f2]{font-size:14px}.p-15[data-v-e4d436f2]{padding:15px}.header[data-v-e4d436f2]{font-weight:400;font-stretch:normal;font-style:normal;line-height:1.3;letter-spacing:normal;color:var(--gray-100)}.mt-5[data-v-e4d436f2]{margin-top:5px}.mt-10[data-v-e4d436f2]{margin-top:10px}.mt-2[data-v-e4d436f2]{margin-top:2px}.mt-30[data-v-e4d436f2]{margin-top:30px}.mb-30[data-v-e4d436f2]{margin-bottom:30px}.label[data-v-e4d436f2]{display:block;font-size:14px;font-weight:400;font-stretch:normal;font-style:normal;line-height:1.43;letter-spacing:.16px;color:var(--gray-100);margin-left:15px}.center[data-v-e4d436f2]{display:flex;justify-content:center}.gray-bc[data-v-e4d436f2]{background-color:#f4f4f4}.remove-default-marign[data-v-e4d436f2]{margin-left:-3%;margin-right:-3%}.progress-shadow[data-v-e4d436f2]{height:8px;background-image:linear-gradient(red,red),linear-gradient(orange,orange),linear-gradient(green,green);opacity:.12;background-size:33%,67%,100%;border-radius:4px;background-repeat:no-repeat}.progress-shadow[data-v-e4d436f2]:before{content:\\\"\\\";display:flex;justify-content:flex-end;height:100%;margin-top:20px}.progress[data-v-e4d436f2]{width:100%;height:100%;position:absolute;top:0;left:0;z-index:10}.progress[data-v-e4d436f2]:before{height:8px;border-radius:4px;background-repeat:no-repeat;content:\\\"\\\";display:flex;justify-content:flex-end;height:100%;width:calc(var(--percent)*1%);background-image:linear-gradient(green,green),linear-gradient(orange,orange),linear-gradient(red,red);background-size:calc((var(--percent) - 67)*100%) 100%,calc((var(--percent) - 33)*100%) 100%,100% 100%}.status[data-v-e4d436f2]{font-family:Roboto;font-size:16px;font-weight:400;font-stretch:normal;font-style:normal;line-height:1.38;letter-spacing:normal;color:#c6c6c6}.middle[data-v-e4d436f2]{margin:0 auto}.right[data-v-e4d436f2]{margin-right:20px}.left[data-v-e4d436f2]{margin-left:20px}.mt-15[data-v-e4d436f2]{margin-top:15px}.progress-container[data-v-e4d436f2]{height:96px;background-color:#f5f5f5;width:100%}.circle-positive-loss[data-v-e4d436f2]{background-color:#f0f}.circle-negative-loss[data-v-e4d436f2],.circle-positive-loss[data-v-e4d436f2]{width:16px;height:16px;margin:2px 8px 8px 0;border-radius:8px}.circle-negative-loss[data-v-e4d436f2]{background-color:#1403ff}.image[data-v-e4d436f2]{max-width:500px;max-height:300px}.bold[data-v-e4d436f2]{font-weight:700;line-height:1.38}.bold[data-v-e4d436f2],.percentage[data-v-e4d436f2]{font-size:16px;font-stretch:normal;font-style:normal;letter-spacing:normal;color:#262626}.percentage[data-v-e4d436f2]{font-weight:400;line-height:normal;margin-left:calc((var(--percent) - 5)*1%)}.img-container[data-v-e4d436f2]{position:relative;box-sizing:border-box;mix-blend-mode:darken}.png-image[data-v-e4d436f2]{max-width:100%;max-height:100%;-o-object-fit:contain;object-fit:contain;padding:15px}.no-check-label[data-v-e4d436f2]{margin-top:10px;font-size:16px;font-weight:700;line-height:1.38;color:#0043ce}.file-name-label[data-v-e4d436f2]{font-size:14px;line-height:1.43;letter-spacing:.16px;color:#161616}.progress-container-3[data-v-e4d436f2]{width:80%;height:31px;margin-top:15px;background-color:#f4f4f4;position:relative;display:flex;justify-content:center;align-content:center;flex-direction:column;padding:10px}.progress-line[data-v-e4d436f2]{height:3px;padding:0 0 0 40px;border-radius:4px;background-color:#c6c6c6}.bottom-position[data-v-e4d436f2]{bottom:15%}.full-line[data-v-e4d436f2]{height:1px;border:1px solid #f4f4f4}.gray-circle[data-v-e4d436f2]{width:16px;height:16px;margin:2px 8px 8px 0;border-radius:8px;background-color:#e0e0e0}.font-color[data-v-e4d436f2]{color:#c6c6c6}.flex-column[data-v-e4d436f2]{display:flex;flex-direction:column}.zoom-in-out[data-v-e4d436f2]{cursor:pointer;display:flex;align-items:center;margin-left:20px}.zoom-in-out span[data-v-e4d436f2]{margin:0 5px;-webkit-user-select:none;-moz-user-select:none;user-select:none}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".wrapper[data-v-893df954]{display:flex;flex-direction:column;margin:1rem 0}.wrapper #title[data-v-893df954]{color:#161616;font-weight:700;font-size:14px}.wrapper #dimensions[data-v-893df954]{color:#6f6f6f;font-size:12px}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","'use strict';\nvar isCallable = require('../internals/is-callable');\n\nmodule.exports = function (it) {\n  return typeof it == 'object' ? it !== null : isCallable(it);\n};\n","'use strict';\n\nfunction pad (hash, len) {\n  while (hash.length < len) {\n    hash = '0' + hash;\n  }\n  return hash;\n}\n\nfunction fold (hash, text) {\n  var i;\n  var chr;\n  var len;\n  if (text.length === 0) {\n    return hash;\n  }\n  for (i = 0, len = text.length; i < len; i++) {\n    chr = text.charCodeAt(i);\n    hash = ((hash << 5) - hash) + chr;\n    hash |= 0;\n  }\n  return hash < 0 ? hash * -2 : hash;\n}\n\nfunction foldObject (hash, o, seen) {\n  return Object.keys(o).sort().reduce(foldKey, hash);\n  function foldKey (hash, key) {\n    return foldValue(hash, o[key], key, seen);\n  }\n}\n\nfunction foldValue (input, value, key, seen) {\n  var hash = fold(fold(fold(input, key), toString(value)), typeof value);\n  if (value === null) {\n    return fold(hash, 'null');\n  }\n  if (value === undefined) {\n    return fold(hash, 'undefined');\n  }\n  if (typeof value === 'object' || typeof value === 'function') {\n    if (seen.indexOf(value) !== -1) {\n      return fold(hash, '[Circular]' + key);\n    }\n    seen.push(value);\n\n    var objHash = foldObject(hash, value, seen)\n\n    if (!('valueOf' in value) || typeof value.valueOf !== 'function') {\n      return objHash;\n    }\n\n    try {\n      return fold(objHash, String(value.valueOf()))\n    } catch (err) {\n      return fold(objHash, '[valueOf exception]' + (err.stack || err.message))\n    }\n  }\n  return fold(hash, value.toString());\n}\n\nfunction toString (o) {\n  return Object.prototype.toString.call(o);\n}\n\nfunction sum (o) {\n  return pad(foldValue(0, o, '', []).toString(16), 8);\n}\n\nmodule.exports = sum;\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\nexports.push([module.id, \"@import url(https://fonts.googleapis.com/css2?family=Roboto:ital,wght@0,300;0,400;0,700;1,400&display=swap);\"]);\n// Module\nexports.push([module.id, \".bx--dropdown[data-v-497fc83a]{border-bottom:none}.print-positions-manager[data-v-497fc83a]{font-family:Roboto,sans-serif}.print-positions-manager .wrapper[data-v-497fc83a]{display:flex;justify-content:center}.full-width--fix[data-v-497fc83a]{padding-left:1rem;padding-right:1rem}.techniques[data-v-497fc83a]{flex-wrap:wrap}.more-details[data-v-497fc83a]{font-size:14px;margin-top:15px;margin-bottom:15px}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","\"use strict\";\nObject.defineProperty(exports, \"__esModule\", { value: true });\nexports.oneOfTypesProp = void 0;\nconst util_1 = require(\"../util\");\n/**\n * Allows any of the passed constructor types (validated at runtime).\n *\n * Type parameter `T` has to be used to adjust the type at compile time.\n *\n * @param type - A single constructor or an array of constructors to allow.\n * @param validator - Optional function for further runtime validation; should return `undefined` if valid, or an error string if invalid.\n */\nconst oneOfTypesProp = (type, validator) => (0, util_1.propOptionsGenerator)(type, validator);\nexports.oneOfTypesProp = oneOfTypesProp;\n","export * from \"-!../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./EditArtworkDialog.vue?vue&type=style&index=0&id=6e9e83bf&prod&lang=scss&scoped=true\"","export * from \"-!../../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./ImagePanelOptions.vue?vue&type=style&index=1&id=980f7c3c&prod&lang=scss\"","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".filename[data-v-7df16423]{margin:6px 0 6px 0;font-size:14px;font-weight:400;font-stretch:normal;font-style:normal;line-height:1.29;letter-spacing:.16px;color:#161616}.file-name-and-meta[data-v-7df16423]{display:flex;flex-direction:column;justify-content:center}.file-name-and-meta--product-meta[data-v-7df16423]{margin-bottom:30px}.product-meta-section--product-sku[data-v-7df16423]{font-size:16px;font-weight:700;line-height:22px;letter-spacing:0;color:#161616;margin:0 0 2px}.product-meta-section--product-name[data-v-7df16423]{font-size:12px;line-height:16px;letter-spacing:.32px;color:#525252;margin:2px 12px 0 0}.file-meta-section--title[data-v-7df16423]{font-weight:700;margin:0 135px 8px 0}.file-meta-section--file-name[data-v-7df16423],.file-meta-section--title[data-v-7df16423]{font-size:14px;line-height:18px;letter-spacing:.16px;color:#161616}.file-meta-section--file-name[data-v-7df16423]{margin:0 0 6px}.image[data-v-7df16423]{width:144px;margin:16px;border:1px solid #e7e6e6}.logo-content[data-v-7df16423]{display:flex;flex-direction:column;background-color:#f4f4f4;padding:5px 0;margin:22px;border:2px solid #e0e0e0}.logo-information[data-v-7df16423]{display:flex;align-content:center;flex-direction:row;width:100%;flex-wrap:nowrap}.product-file-info-section[data-v-7df16423]{margin-left:15px;margin-top:25px;margin-bottom:25px}.meta-label[data-v-7df16423]{height:16px;margin:0 174px 14px 0;font-size:12px;font-weight:400;font-stretch:normal;font-style:normal;line-height:1.33;letter-spacing:.32px;color:#525252}.Uploaded-logo[data-v-7df16423]{color:#161616}.Uploaded-logo[data-v-7df16423],.Warning-message[data-v-7df16423]{width:93px;height:18px;margin:0 0 0 16px;font-size:14px;font-weight:700;font-stretch:normal;font-style:normal;line-height:1.29;letter-spacing:.16px}.Warning-message[data-v-7df16423]{color:#da1e28}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".cv-row__margins[data-v-7087dd10]{margin-left:1.6px;margin-right:1.6px;margin-top:1.6px}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","// addapted from the document.currentScript polyfill by Adam Miller\n// MIT license\n// source: https://github.com/amiller-gh/currentScript-polyfill\n\n// added support for Firefox https://bugzilla.mozilla.org/show_bug.cgi?id=1620505\n\n(function (root, factory) {\n  if (typeof define === 'function' && define.amd) {\n    define([], factory);\n  } else if (typeof module === 'object' && module.exports) {\n    module.exports = factory();\n  } else {\n    root.getCurrentScript = factory();\n  }\n}(typeof self !== 'undefined' ? self : this, function () {\n  function getCurrentScript () {\n    var descriptor = Object.getOwnPropertyDescriptor(document, 'currentScript')\n    // for chrome\n    if (!descriptor && 'currentScript' in document && document.currentScript) {\n      return document.currentScript\n    }\n\n    // for other browsers with native support for currentScript\n    if (descriptor && descriptor.get !== getCurrentScript && document.currentScript) {\n      return document.currentScript\n    }\n  \n    // IE 8-10 support script readyState\n    // IE 11+ & Firefox support stack trace\n    try {\n      throw new Error();\n    }\n    catch (err) {\n      // Find the second match for the \"at\" string to get file src url from stack.\n      var ieStackRegExp = /.*at [^(]*\\((.*):(.+):(.+)\\)$/ig,\n        ffStackRegExp = /@([^@]*):(\\d+):(\\d+)\\s*$/ig,\n        stackDetails = ieStackRegExp.exec(err.stack) || ffStackRegExp.exec(err.stack),\n        scriptLocation = (stackDetails && stackDetails[1]) || false,\n        line = (stackDetails && stackDetails[2]) || false,\n        currentLocation = document.location.href.replace(document.location.hash, ''),\n        pageSource,\n        inlineScriptSourceRegExp,\n        inlineScriptSource,\n        scripts = document.getElementsByTagName('script'); // Live NodeList collection\n  \n      if (scriptLocation === currentLocation) {\n        pageSource = document.documentElement.outerHTML;\n        inlineScriptSourceRegExp = new RegExp('(?:[^\\\\n]+?\\\\n){0,' + (line - 2) + '}[^<]*<script>([\\\\d\\\\D]*?)<\\\\/script>[\\\\d\\\\D]*', 'i');\n        inlineScriptSource = pageSource.replace(inlineScriptSourceRegExp, '$1').trim();\n      }\n  \n      for (var i = 0; i < scripts.length; i++) {\n        // If ready state is interactive, return the script tag\n        if (scripts[i].readyState === 'interactive') {\n          return scripts[i];\n        }\n  \n        // If src matches, return the script tag\n        if (scripts[i].src === scriptLocation) {\n          return scripts[i];\n        }\n  \n        // If inline source matches, return the script tag\n        if (\n          scriptLocation === currentLocation &&\n          scripts[i].innerHTML &&\n          scripts[i].innerHTML.trim() === inlineScriptSource\n        ) {\n          return scripts[i];\n        }\n      }\n  \n      // If no match, return null\n      return null;\n    }\n  };\n\n  return getCurrentScript\n}));\n","'use strict';\nvar defineBuiltIn = require('../internals/define-built-in');\nvar uncurryThis = require('../internals/function-uncurry-this');\nvar toString = require('../internals/to-string');\nvar validateArgumentsLength = require('../internals/validate-arguments-length');\n\nvar $URLSearchParams = URLSearchParams;\nvar URLSearchParamsPrototype = $URLSearchParams.prototype;\nvar append = uncurryThis(URLSearchParamsPrototype.append);\nvar $delete = uncurryThis(URLSearchParamsPrototype['delete']);\nvar forEach = uncurryThis(URLSearchParamsPrototype.forEach);\nvar push = uncurryThis([].push);\nvar params = new $URLSearchParams('a=1&a=2&b=3');\n\nparams['delete']('a', 1);\n// `undefined` case is a Chromium 117 bug\n// https://bugs.chromium.org/p/v8/issues/detail?id=14222\nparams['delete']('b', undefined);\n\nif (params + '' !== 'a=2') {\n  defineBuiltIn(URLSearchParamsPrototype, 'delete', function (name /* , value */) {\n    var length = arguments.length;\n    var $value = length < 2 ? undefined : arguments[1];\n    if (length && $value === undefined) return $delete(this, name);\n    var entries = [];\n    forEach(this, function (v, k) { // also validates `this`\n      push(entries, { key: k, value: v });\n    });\n    validateArgumentsLength(length, 1);\n    var key = toString(name);\n    var value = toString($value);\n    var index = 0;\n    var dindex = 0;\n    var found = false;\n    var entriesLength = entries.length;\n    var entry;\n    while (index < entriesLength) {\n      entry = entries[index++];\n      if (found || entry.key === key) {\n        found = true;\n        $delete(this, entry.key);\n      } else dindex++;\n    }\n    while (dindex < entriesLength) {\n      entry = entries[dindex++];\n      if (!(entry.key === key && entry.value === value)) append(this, entry.key, entry.value);\n    }\n  }, { enumerable: true, unsafe: true });\n}\n","/*!\n * vue-i18n v8.28.2 \n * (c) 2022 kazuya kawaguchi\n * Released under the MIT License.\n */\n/*  */\n\n/**\n * constants\n */\n\nvar numberFormatKeys = [\n  'compactDisplay',\n  'currency',\n  'currencyDisplay',\n  'currencySign',\n  'localeMatcher',\n  'notation',\n  'numberingSystem',\n  'signDisplay',\n  'style',\n  'unit',\n  'unitDisplay',\n  'useGrouping',\n  'minimumIntegerDigits',\n  'minimumFractionDigits',\n  'maximumFractionDigits',\n  'minimumSignificantDigits',\n  'maximumSignificantDigits'\n];\n\nvar dateTimeFormatKeys = [\n  'dateStyle',\n  'timeStyle',\n  'calendar',\n  'localeMatcher',\n  \"hour12\",\n  \"hourCycle\",\n  \"timeZone\",\n  \"formatMatcher\",\n  'weekday',\n  'era',\n  'year',\n  'month',\n  'day',\n  'hour',\n  'minute',\n  'second',\n  'timeZoneName' ];\n\n/**\n * utilities\n */\n\nfunction warn (msg, err) {\n  if (typeof console !== 'undefined') {\n    console.warn('[vue-i18n] ' + msg);\n    /* istanbul ignore if */\n    if (err) {\n      console.warn(err.stack);\n    }\n  }\n}\n\nfunction error (msg, err) {\n  if (typeof console !== 'undefined') {\n    console.error('[vue-i18n] ' + msg);\n    /* istanbul ignore if */\n    if (err) {\n      console.error(err.stack);\n    }\n  }\n}\n\nvar isArray = Array.isArray;\n\nfunction isObject (obj) {\n  return obj !== null && typeof obj === 'object'\n}\n\nfunction isBoolean (val) {\n  return typeof val === 'boolean'\n}\n\nfunction isString (val) {\n  return typeof val === 'string'\n}\n\nvar toString = Object.prototype.toString;\nvar OBJECT_STRING = '[object Object]';\nfunction isPlainObject (obj) {\n  return toString.call(obj) === OBJECT_STRING\n}\n\nfunction isNull (val) {\n  return val === null || val === undefined\n}\n\nfunction isFunction (val) {\n  return typeof val === 'function'\n}\n\nfunction parseArgs () {\n  var args = [], len = arguments.length;\n  while ( len-- ) args[ len ] = arguments[ len ];\n\n  var locale = null;\n  var params = null;\n  if (args.length === 1) {\n    if (isObject(args[0]) || isArray(args[0])) {\n      params = args[0];\n    } else if (typeof args[0] === 'string') {\n      locale = args[0];\n    }\n  } else if (args.length === 2) {\n    if (typeof args[0] === 'string') {\n      locale = args[0];\n    }\n    /* istanbul ignore if */\n    if (isObject(args[1]) || isArray(args[1])) {\n      params = args[1];\n    }\n  }\n\n  return { locale: locale, params: params }\n}\n\nfunction looseClone (obj) {\n  return JSON.parse(JSON.stringify(obj))\n}\n\nfunction remove (arr, item) {\n  if (arr.delete(item)) {\n    return arr\n  }\n}\n\nfunction arrayFrom (arr) {\n  var ret = [];\n  arr.forEach(function (a) { return ret.push(a); });\n  return ret\n}\n\nfunction includes (arr, item) {\n  return !!~arr.indexOf(item)\n}\n\nvar hasOwnProperty = Object.prototype.hasOwnProperty;\nfunction hasOwn (obj, key) {\n  return hasOwnProperty.call(obj, key)\n}\n\nfunction merge (target) {\n  var arguments$1 = arguments;\n\n  var output = Object(target);\n  for (var i = 1; i < arguments.length; i++) {\n    var source = arguments$1[i];\n    if (source !== undefined && source !== null) {\n      var key = (void 0);\n      for (key in source) {\n        if (hasOwn(source, key)) {\n          if (isObject(source[key])) {\n            output[key] = merge(output[key], source[key]);\n          } else {\n            output[key] = source[key];\n          }\n        }\n      }\n    }\n  }\n  return output\n}\n\nfunction looseEqual (a, b) {\n  if (a === b) { return true }\n  var isObjectA = isObject(a);\n  var isObjectB = isObject(b);\n  if (isObjectA && isObjectB) {\n    try {\n      var isArrayA = isArray(a);\n      var isArrayB = isArray(b);\n      if (isArrayA && isArrayB) {\n        return a.length === b.length && a.every(function (e, i) {\n          return looseEqual(e, b[i])\n        })\n      } else if (!isArrayA && !isArrayB) {\n        var keysA = Object.keys(a);\n        var keysB = Object.keys(b);\n        return keysA.length === keysB.length && keysA.every(function (key) {\n          return looseEqual(a[key], b[key])\n        })\n      } else {\n        /* istanbul ignore next */\n        return false\n      }\n    } catch (e) {\n      /* istanbul ignore next */\n      return false\n    }\n  } else if (!isObjectA && !isObjectB) {\n    return String(a) === String(b)\n  } else {\n    return false\n  }\n}\n\n/**\n * Sanitizes html special characters from input strings. For mitigating risk of XSS attacks.\n * @param rawText The raw input from the user that should be escaped.\n */\nfunction escapeHtml(rawText) {\n  return rawText\n    .replace(/</g, '&lt;')\n    .replace(/>/g, '&gt;')\n    .replace(/\"/g, '&quot;')\n    .replace(/'/g, '&apos;')\n}\n\n/**\n * Escapes html tags and special symbols from all provided params which were returned from parseArgs().params.\n * This method performs an in-place operation on the params object.\n *\n * @param {any} params Parameters as provided from `parseArgs().params`.\n *                     May be either an array of strings or a string->any map.\n *\n * @returns The manipulated `params` object.\n */\nfunction escapeParams(params) {\n  if(params != null) {\n    Object.keys(params).forEach(function (key) {\n      if(typeof(params[key]) == 'string') {\n        params[key] = escapeHtml(params[key]);\n      }\n    });\n  }\n  return params\n}\n\n/*  */\n\nfunction extend (Vue) {\n  if (!Vue.prototype.hasOwnProperty('$i18n')) {\n    // $FlowFixMe\n    Object.defineProperty(Vue.prototype, '$i18n', {\n      get: function get () { return this._i18n }\n    });\n  }\n\n  Vue.prototype.$t = function (key) {\n    var values = [], len = arguments.length - 1;\n    while ( len-- > 0 ) values[ len ] = arguments[ len + 1 ];\n\n    var i18n = this.$i18n;\n    return i18n._t.apply(i18n, [ key, i18n.locale, i18n._getMessages(), this ].concat( values ))\n  };\n\n  Vue.prototype.$tc = function (key, choice) {\n    var values = [], len = arguments.length - 2;\n    while ( len-- > 0 ) values[ len ] = arguments[ len + 2 ];\n\n    var i18n = this.$i18n;\n    return i18n._tc.apply(i18n, [ key, i18n.locale, i18n._getMessages(), this, choice ].concat( values ))\n  };\n\n  Vue.prototype.$te = function (key, locale) {\n    var i18n = this.$i18n;\n    return i18n._te(key, i18n.locale, i18n._getMessages(), locale)\n  };\n\n  Vue.prototype.$d = function (value) {\n    var ref;\n\n    var args = [], len = arguments.length - 1;\n    while ( len-- > 0 ) args[ len ] = arguments[ len + 1 ];\n    return (ref = this.$i18n).d.apply(ref, [ value ].concat( args ))\n  };\n\n  Vue.prototype.$n = function (value) {\n    var ref;\n\n    var args = [], len = arguments.length - 1;\n    while ( len-- > 0 ) args[ len ] = arguments[ len + 1 ];\n    return (ref = this.$i18n).n.apply(ref, [ value ].concat( args ))\n  };\n}\n\n/*  */\n\n/**\n * Mixin\n * \n * If `bridge` mode, empty mixin is returned,\n * else regulary mixin implementation is returned.\n */\nfunction defineMixin (bridge) {\n  if ( bridge === void 0 ) bridge = false;\n\n  function mounted () {\n    if (this !== this.$root && this.$options.__INTLIFY_META__ && this.$el) {\n      this.$el.setAttribute('data-intlify', this.$options.__INTLIFY_META__);\n    }\n  }\n\n  return bridge\n    ? { mounted: mounted } // delegate `vue-i18n-bridge` mixin implementation\n    : { // regulary \n    beforeCreate: function beforeCreate () {\n      var options = this.$options;\n      options.i18n = options.i18n || ((options.__i18nBridge || options.__i18n) ? {} : null);\n\n      if (options.i18n) {\n        if (options.i18n instanceof VueI18n) {\n          // init locale messages via custom blocks\n          if ((options.__i18nBridge || options.__i18n)) {\n            try {\n              var localeMessages = options.i18n && options.i18n.messages ? options.i18n.messages : {};\n              var _i18n = options.__i18nBridge || options.__i18n;\n              _i18n.forEach(function (resource) {\n                localeMessages = merge(localeMessages, JSON.parse(resource));\n              });\n              Object.keys(localeMessages).forEach(function (locale) {\n                options.i18n.mergeLocaleMessage(locale, localeMessages[locale]);\n              });\n            } catch (e) {\n              if (process.env.NODE_ENV !== 'production') {\n                error(\"Cannot parse locale messages via custom blocks.\", e);\n              }\n            }\n          }\n          this._i18n = options.i18n;\n          this._i18nWatcher = this._i18n.watchI18nData();\n        } else if (isPlainObject(options.i18n)) {\n          var rootI18n = this.$root && this.$root.$i18n && this.$root.$i18n instanceof VueI18n\n            ? this.$root.$i18n\n            : null;\n          // component local i18n\n          if (rootI18n) {\n            options.i18n.root = this.$root;\n            options.i18n.formatter = rootI18n.formatter;\n            options.i18n.fallbackLocale = rootI18n.fallbackLocale;\n            options.i18n.formatFallbackMessages = rootI18n.formatFallbackMessages;\n            options.i18n.silentTranslationWarn = rootI18n.silentTranslationWarn;\n            options.i18n.silentFallbackWarn = rootI18n.silentFallbackWarn;\n            options.i18n.pluralizationRules = rootI18n.pluralizationRules;\n            options.i18n.preserveDirectiveContent = rootI18n.preserveDirectiveContent;\n          }\n\n          // init locale messages via custom blocks\n          if ((options.__i18nBridge || options.__i18n)) {\n            try {\n              var localeMessages$1 = options.i18n && options.i18n.messages ? options.i18n.messages : {};\n              var _i18n$1 = options.__i18nBridge || options.__i18n;\n              _i18n$1.forEach(function (resource) {\n                localeMessages$1 = merge(localeMessages$1, JSON.parse(resource));\n              });\n              options.i18n.messages = localeMessages$1;\n            } catch (e) {\n              if (process.env.NODE_ENV !== 'production') {\n                warn(\"Cannot parse locale messages via custom blocks.\", e);\n              }\n            }\n          }\n\n          var ref = options.i18n;\n          var sharedMessages = ref.sharedMessages;\n          if (sharedMessages && isPlainObject(sharedMessages)) {\n            options.i18n.messages = merge(options.i18n.messages, sharedMessages);\n          }\n\n          this._i18n = new VueI18n(options.i18n);\n          this._i18nWatcher = this._i18n.watchI18nData();\n\n          if (options.i18n.sync === undefined || !!options.i18n.sync) {\n            this._localeWatcher = this.$i18n.watchLocale();\n          }\n\n          if (rootI18n) {\n            rootI18n.onComponentInstanceCreated(this._i18n);\n          }\n        } else {\n          if (process.env.NODE_ENV !== 'production') {\n            warn(\"Cannot be interpreted 'i18n' option.\");\n          }\n        }\n      } else if (this.$root && this.$root.$i18n && this.$root.$i18n instanceof VueI18n) {\n        // root i18n\n        this._i18n = this.$root.$i18n;\n      } else if (options.parent && options.parent.$i18n && options.parent.$i18n instanceof VueI18n) {\n        // parent i18n\n        this._i18n = options.parent.$i18n;\n      }\n    },\n\n    beforeMount: function beforeMount () {\n      var options = this.$options;\n      options.i18n = options.i18n || ((options.__i18nBridge || options.__i18n) ? {} : null);\n\n      if (options.i18n) {\n        if (options.i18n instanceof VueI18n) {\n          // init locale messages via custom blocks\n          this._i18n.subscribeDataChanging(this);\n          this._subscribing = true;\n        } else if (isPlainObject(options.i18n)) {\n          this._i18n.subscribeDataChanging(this);\n          this._subscribing = true;\n        } else {\n          if (process.env.NODE_ENV !== 'production') {\n            warn(\"Cannot be interpreted 'i18n' option.\");\n          }\n        }\n      } else if (this.$root && this.$root.$i18n && this.$root.$i18n instanceof VueI18n) {\n        this._i18n.subscribeDataChanging(this);\n        this._subscribing = true;\n      } else if (options.parent && options.parent.$i18n && options.parent.$i18n instanceof VueI18n) {\n        this._i18n.subscribeDataChanging(this);\n        this._subscribing = true;\n      }\n    },\n\n    mounted: mounted,\n\n    beforeDestroy: function beforeDestroy () {\n      if (!this._i18n) { return }\n\n      var self = this;\n      this.$nextTick(function () {\n        if (self._subscribing) {\n          self._i18n.unsubscribeDataChanging(self);\n          delete self._subscribing;\n        }\n\n        if (self._i18nWatcher) {\n          self._i18nWatcher();\n          self._i18n.destroyVM();\n          delete self._i18nWatcher;\n        }\n\n        if (self._localeWatcher) {\n          self._localeWatcher();\n          delete self._localeWatcher;\n        }\n      });\n    }\n  }\n}\n\n/*  */\n\nvar interpolationComponent = {\n  name: 'i18n',\n  functional: true,\n  props: {\n    tag: {\n      type: [String, Boolean, Object],\n      default: 'span'\n    },\n    path: {\n      type: String,\n      required: true\n    },\n    locale: {\n      type: String\n    },\n    places: {\n      type: [Array, Object]\n    }\n  },\n  render: function render (h, ref) {\n    var data = ref.data;\n    var parent = ref.parent;\n    var props = ref.props;\n    var slots = ref.slots;\n\n    var $i18n = parent.$i18n;\n    if (!$i18n) {\n      if (process.env.NODE_ENV !== 'production') {\n        warn('Cannot find VueI18n instance!');\n      }\n      return\n    }\n\n    var path = props.path;\n    var locale = props.locale;\n    var places = props.places;\n    var params = slots();\n    var children = $i18n.i(\n      path,\n      locale,\n      onlyHasDefaultPlace(params) || places\n        ? useLegacyPlaces(params.default, places)\n        : params\n    );\n\n    var tag = (!!props.tag && props.tag !== true) || props.tag === false ? props.tag : 'span';\n    return tag ? h(tag, data, children) : children\n  }\n};\n\nfunction onlyHasDefaultPlace (params) {\n  var prop;\n  for (prop in params) {\n    if (prop !== 'default') { return false }\n  }\n  return Boolean(prop)\n}\n\nfunction useLegacyPlaces (children, places) {\n  var params = places ? createParamsFromPlaces(places) : {};\n\n  if (!children) { return params }\n\n  // Filter empty text nodes\n  children = children.filter(function (child) {\n    return child.tag || child.text.trim() !== ''\n  });\n\n  var everyPlace = children.every(vnodeHasPlaceAttribute);\n  if (process.env.NODE_ENV !== 'production' && everyPlace) {\n    warn('`place` attribute is deprecated in next major version. Please switch to Vue slots.');\n  }\n\n  return children.reduce(\n    everyPlace ? assignChildPlace : assignChildIndex,\n    params\n  )\n}\n\nfunction createParamsFromPlaces (places) {\n  if (process.env.NODE_ENV !== 'production') {\n    warn('`places` prop is deprecated in next major version. Please switch to Vue slots.');\n  }\n\n  return Array.isArray(places)\n    ? places.reduce(assignChildIndex, {})\n    : Object.assign({}, places)\n}\n\nfunction assignChildPlace (params, child) {\n  if (child.data && child.data.attrs && child.data.attrs.place) {\n    params[child.data.attrs.place] = child;\n  }\n  return params\n}\n\nfunction assignChildIndex (params, child, index) {\n  params[index] = child;\n  return params\n}\n\nfunction vnodeHasPlaceAttribute (vnode) {\n  return Boolean(vnode.data && vnode.data.attrs && vnode.data.attrs.place)\n}\n\n/*  */\n\nvar numberComponent = {\n  name: 'i18n-n',\n  functional: true,\n  props: {\n    tag: {\n      type: [String, Boolean, Object],\n      default: 'span'\n    },\n    value: {\n      type: Number,\n      required: true\n    },\n    format: {\n      type: [String, Object]\n    },\n    locale: {\n      type: String\n    }\n  },\n  render: function render (h, ref) {\n    var props = ref.props;\n    var parent = ref.parent;\n    var data = ref.data;\n\n    var i18n = parent.$i18n;\n\n    if (!i18n) {\n      if (process.env.NODE_ENV !== 'production') {\n        warn('Cannot find VueI18n instance!');\n      }\n      return null\n    }\n\n    var key = null;\n    var options = null;\n\n    if (isString(props.format)) {\n      key = props.format;\n    } else if (isObject(props.format)) {\n      if (props.format.key) {\n        key = props.format.key;\n      }\n\n      // Filter out number format options only\n      options = Object.keys(props.format).reduce(function (acc, prop) {\n        var obj;\n\n        if (includes(numberFormatKeys, prop)) {\n          return Object.assign({}, acc, ( obj = {}, obj[prop] = props.format[prop], obj ))\n        }\n        return acc\n      }, null);\n    }\n\n    var locale = props.locale || i18n.locale;\n    var parts = i18n._ntp(props.value, locale, key, options);\n\n    var values = parts.map(function (part, index) {\n      var obj;\n\n      var slot = data.scopedSlots && data.scopedSlots[part.type];\n      return slot ? slot(( obj = {}, obj[part.type] = part.value, obj.index = index, obj.parts = parts, obj )) : part.value\n    });\n\n    var tag = (!!props.tag && props.tag !== true) || props.tag === false ? props.tag : 'span';\n    return tag\n      ? h(tag, {\n        attrs: data.attrs,\n        'class': data['class'],\n        staticClass: data.staticClass\n      }, values)\n      : values\n  }\n};\n\n/*  */\n\nfunction bind (el, binding, vnode) {\n  if (!assert(el, vnode)) { return }\n\n  t(el, binding, vnode);\n}\n\nfunction update (el, binding, vnode, oldVNode) {\n  if (!assert(el, vnode)) { return }\n\n  var i18n = vnode.context.$i18n;\n  if (localeEqual(el, vnode) &&\n    (looseEqual(binding.value, binding.oldValue) &&\n     looseEqual(el._localeMessage, i18n.getLocaleMessage(i18n.locale)))) { return }\n\n  t(el, binding, vnode);\n}\n\nfunction unbind (el, binding, vnode, oldVNode) {\n  var vm = vnode.context;\n  if (!vm) {\n    warn('Vue instance does not exists in VNode context');\n    return\n  }\n\n  var i18n = vnode.context.$i18n || {};\n  if (!binding.modifiers.preserve && !i18n.preserveDirectiveContent) {\n    el.textContent = '';\n  }\n  el._vt = undefined;\n  delete el['_vt'];\n  el._locale = undefined;\n  delete el['_locale'];\n  el._localeMessage = undefined;\n  delete el['_localeMessage'];\n}\n\nfunction assert (el, vnode) {\n  var vm = vnode.context;\n  if (!vm) {\n    warn('Vue instance does not exists in VNode context');\n    return false\n  }\n\n  if (!vm.$i18n) {\n    warn('VueI18n instance does not exists in Vue instance');\n    return false\n  }\n\n  return true\n}\n\nfunction localeEqual (el, vnode) {\n  var vm = vnode.context;\n  return el._locale === vm.$i18n.locale\n}\n\nfunction t (el, binding, vnode) {\n  var ref$1, ref$2;\n\n  var value = binding.value;\n\n  var ref = parseValue(value);\n  var path = ref.path;\n  var locale = ref.locale;\n  var args = ref.args;\n  var choice = ref.choice;\n  if (!path && !locale && !args) {\n    warn('value type not supported');\n    return\n  }\n\n  if (!path) {\n    warn('`path` is required in v-t directive');\n    return\n  }\n\n  var vm = vnode.context;\n  if (choice != null) {\n    el._vt = el.textContent = (ref$1 = vm.$i18n).tc.apply(ref$1, [ path, choice ].concat( makeParams(locale, args) ));\n  } else {\n    el._vt = el.textContent = (ref$2 = vm.$i18n).t.apply(ref$2, [ path ].concat( makeParams(locale, args) ));\n  }\n  el._locale = vm.$i18n.locale;\n  el._localeMessage = vm.$i18n.getLocaleMessage(vm.$i18n.locale);\n}\n\nfunction parseValue (value) {\n  var path;\n  var locale;\n  var args;\n  var choice;\n\n  if (isString(value)) {\n    path = value;\n  } else if (isPlainObject(value)) {\n    path = value.path;\n    locale = value.locale;\n    args = value.args;\n    choice = value.choice;\n  }\n\n  return { path: path, locale: locale, args: args, choice: choice }\n}\n\nfunction makeParams (locale, args) {\n  var params = [];\n\n  locale && params.push(locale);\n  if (args && (Array.isArray(args) || isPlainObject(args))) {\n    params.push(args);\n  }\n\n  return params\n}\n\nvar Vue;\n\nfunction install (_Vue, options) {\n  if ( options === void 0 ) options = { bridge: false };\n\n  /* istanbul ignore if */\n  if (process.env.NODE_ENV !== 'production' && install.installed && _Vue === Vue) {\n    warn('already installed.');\n    return\n  }\n  install.installed = true;\n\n  Vue = _Vue;\n\n  var version = (Vue.version && Number(Vue.version.split('.')[0])) || -1;\n  /* istanbul ignore if */\n  if (process.env.NODE_ENV !== 'production' && version < 2) {\n    warn((\"vue-i18n (\" + (install.version) + \") need to use Vue 2.0 or later (Vue: \" + (Vue.version) + \").\"));\n    return\n  }\n\n  extend(Vue);\n  Vue.mixin(defineMixin(options.bridge));\n  Vue.directive('t', { bind: bind, update: update, unbind: unbind });\n  Vue.component(interpolationComponent.name, interpolationComponent);\n  Vue.component(numberComponent.name, numberComponent);\n\n  // use simple mergeStrategies to prevent i18n instance lose '__proto__'\n  var strats = Vue.config.optionMergeStrategies;\n  strats.i18n = function (parentVal, childVal) {\n    return childVal === undefined\n      ? parentVal\n      : childVal\n  };\n}\n\n/*  */\n\nvar BaseFormatter = function BaseFormatter () {\n  this._caches = Object.create(null);\n};\n\nBaseFormatter.prototype.interpolate = function interpolate (message, values) {\n  if (!values) {\n    return [message]\n  }\n  var tokens = this._caches[message];\n  if (!tokens) {\n    tokens = parse(message);\n    this._caches[message] = tokens;\n  }\n  return compile(tokens, values)\n};\n\n\n\nvar RE_TOKEN_LIST_VALUE = /^(?:\\d)+/;\nvar RE_TOKEN_NAMED_VALUE = /^(?:\\w)+/;\n\nfunction parse (format) {\n  var tokens = [];\n  var position = 0;\n\n  var text = '';\n  while (position < format.length) {\n    var char = format[position++];\n    if (char === '{') {\n      if (text) {\n        tokens.push({ type: 'text', value: text });\n      }\n\n      text = '';\n      var sub = '';\n      char = format[position++];\n      while (char !== undefined && char !== '}') {\n        sub += char;\n        char = format[position++];\n      }\n      var isClosed = char === '}';\n\n      var type = RE_TOKEN_LIST_VALUE.test(sub)\n        ? 'list'\n        : isClosed && RE_TOKEN_NAMED_VALUE.test(sub)\n          ? 'named'\n          : 'unknown';\n      tokens.push({ value: sub, type: type });\n    } else if (char === '%') {\n      // when found rails i18n syntax, skip text capture\n      if (format[(position)] !== '{') {\n        text += char;\n      }\n    } else {\n      text += char;\n    }\n  }\n\n  text && tokens.push({ type: 'text', value: text });\n\n  return tokens\n}\n\nfunction compile (tokens, values) {\n  var compiled = [];\n  var index = 0;\n\n  var mode = Array.isArray(values)\n    ? 'list'\n    : isObject(values)\n      ? 'named'\n      : 'unknown';\n  if (mode === 'unknown') { return compiled }\n\n  while (index < tokens.length) {\n    var token = tokens[index];\n    switch (token.type) {\n      case 'text':\n        compiled.push(token.value);\n        break\n      case 'list':\n        compiled.push(values[parseInt(token.value, 10)]);\n        break\n      case 'named':\n        if (mode === 'named') {\n          compiled.push((values)[token.value]);\n        } else {\n          if (process.env.NODE_ENV !== 'production') {\n            warn((\"Type of token '\" + (token.type) + \"' and format of value '\" + mode + \"' don't match!\"));\n          }\n        }\n        break\n      case 'unknown':\n        if (process.env.NODE_ENV !== 'production') {\n          warn(\"Detect 'unknown' type of token!\");\n        }\n        break\n    }\n    index++;\n  }\n\n  return compiled\n}\n\n/*  */\n\n/**\n *  Path parser\n *  - Inspired:\n *    Vue.js Path parser\n */\n\n// actions\nvar APPEND = 0;\nvar PUSH = 1;\nvar INC_SUB_PATH_DEPTH = 2;\nvar PUSH_SUB_PATH = 3;\n\n// states\nvar BEFORE_PATH = 0;\nvar IN_PATH = 1;\nvar BEFORE_IDENT = 2;\nvar IN_IDENT = 3;\nvar IN_SUB_PATH = 4;\nvar IN_SINGLE_QUOTE = 5;\nvar IN_DOUBLE_QUOTE = 6;\nvar AFTER_PATH = 7;\nvar ERROR = 8;\n\nvar pathStateMachine = [];\n\npathStateMachine[BEFORE_PATH] = {\n  'ws': [BEFORE_PATH],\n  'ident': [IN_IDENT, APPEND],\n  '[': [IN_SUB_PATH],\n  'eof': [AFTER_PATH]\n};\n\npathStateMachine[IN_PATH] = {\n  'ws': [IN_PATH],\n  '.': [BEFORE_IDENT],\n  '[': [IN_SUB_PATH],\n  'eof': [AFTER_PATH]\n};\n\npathStateMachine[BEFORE_IDENT] = {\n  'ws': [BEFORE_IDENT],\n  'ident': [IN_IDENT, APPEND],\n  '0': [IN_IDENT, APPEND],\n  'number': [IN_IDENT, APPEND]\n};\n\npathStateMachine[IN_IDENT] = {\n  'ident': [IN_IDENT, APPEND],\n  '0': [IN_IDENT, APPEND],\n  'number': [IN_IDENT, APPEND],\n  'ws': [IN_PATH, PUSH],\n  '.': [BEFORE_IDENT, PUSH],\n  '[': [IN_SUB_PATH, PUSH],\n  'eof': [AFTER_PATH, PUSH]\n};\n\npathStateMachine[IN_SUB_PATH] = {\n  \"'\": [IN_SINGLE_QUOTE, APPEND],\n  '\"': [IN_DOUBLE_QUOTE, APPEND],\n  '[': [IN_SUB_PATH, INC_SUB_PATH_DEPTH],\n  ']': [IN_PATH, PUSH_SUB_PATH],\n  'eof': ERROR,\n  'else': [IN_SUB_PATH, APPEND]\n};\n\npathStateMachine[IN_SINGLE_QUOTE] = {\n  \"'\": [IN_SUB_PATH, APPEND],\n  'eof': ERROR,\n  'else': [IN_SINGLE_QUOTE, APPEND]\n};\n\npathStateMachine[IN_DOUBLE_QUOTE] = {\n  '\"': [IN_SUB_PATH, APPEND],\n  'eof': ERROR,\n  'else': [IN_DOUBLE_QUOTE, APPEND]\n};\n\n/**\n * Check if an expression is a literal value.\n */\n\nvar literalValueRE = /^\\s?(?:true|false|-?[\\d.]+|'[^']*'|\"[^\"]*\")\\s?$/;\nfunction isLiteral (exp) {\n  return literalValueRE.test(exp)\n}\n\n/**\n * Strip quotes from a string\n */\n\nfunction stripQuotes (str) {\n  var a = str.charCodeAt(0);\n  var b = str.charCodeAt(str.length - 1);\n  return a === b && (a === 0x22 || a === 0x27)\n    ? str.slice(1, -1)\n    : str\n}\n\n/**\n * Determine the type of a character in a keypath.\n */\n\nfunction getPathCharType (ch) {\n  if (ch === undefined || ch === null) { return 'eof' }\n\n  var code = ch.charCodeAt(0);\n\n  switch (code) {\n    case 0x5B: // [\n    case 0x5D: // ]\n    case 0x2E: // .\n    case 0x22: // \"\n    case 0x27: // '\n      return ch\n\n    case 0x5F: // _\n    case 0x24: // $\n    case 0x2D: // -\n      return 'ident'\n\n    case 0x09: // Tab\n    case 0x0A: // Newline\n    case 0x0D: // Return\n    case 0xA0:  // No-break space\n    case 0xFEFF:  // Byte Order Mark\n    case 0x2028:  // Line Separator\n    case 0x2029:  // Paragraph Separator\n      return 'ws'\n  }\n\n  return 'ident'\n}\n\n/**\n * Format a subPath, return its plain form if it is\n * a literal string or number. Otherwise prepend the\n * dynamic indicator (*).\n */\n\nfunction formatSubPath (path) {\n  var trimmed = path.trim();\n  // invalid leading 0\n  if (path.charAt(0) === '0' && isNaN(path)) { return false }\n\n  return isLiteral(trimmed) ? stripQuotes(trimmed) : '*' + trimmed\n}\n\n/**\n * Parse a string path into an array of segments\n */\n\nfunction parse$1 (path) {\n  var keys = [];\n  var index = -1;\n  var mode = BEFORE_PATH;\n  var subPathDepth = 0;\n  var c;\n  var key;\n  var newChar;\n  var type;\n  var transition;\n  var action;\n  var typeMap;\n  var actions = [];\n\n  actions[PUSH] = function () {\n    if (key !== undefined) {\n      keys.push(key);\n      key = undefined;\n    }\n  };\n\n  actions[APPEND] = function () {\n    if (key === undefined) {\n      key = newChar;\n    } else {\n      key += newChar;\n    }\n  };\n\n  actions[INC_SUB_PATH_DEPTH] = function () {\n    actions[APPEND]();\n    subPathDepth++;\n  };\n\n  actions[PUSH_SUB_PATH] = function () {\n    if (subPathDepth > 0) {\n      subPathDepth--;\n      mode = IN_SUB_PATH;\n      actions[APPEND]();\n    } else {\n      subPathDepth = 0;\n      if (key === undefined) { return false }\n      key = formatSubPath(key);\n      if (key === false) {\n        return false\n      } else {\n        actions[PUSH]();\n      }\n    }\n  };\n\n  function maybeUnescapeQuote () {\n    var nextChar = path[index + 1];\n    if ((mode === IN_SINGLE_QUOTE && nextChar === \"'\") ||\n      (mode === IN_DOUBLE_QUOTE && nextChar === '\"')) {\n      index++;\n      newChar = '\\\\' + nextChar;\n      actions[APPEND]();\n      return true\n    }\n  }\n\n  while (mode !== null) {\n    index++;\n    c = path[index];\n\n    if (c === '\\\\' && maybeUnescapeQuote()) {\n      continue\n    }\n\n    type = getPathCharType(c);\n    typeMap = pathStateMachine[mode];\n    transition = typeMap[type] || typeMap['else'] || ERROR;\n\n    if (transition === ERROR) {\n      return // parse error\n    }\n\n    mode = transition[0];\n    action = actions[transition[1]];\n    if (action) {\n      newChar = transition[2];\n      newChar = newChar === undefined\n        ? c\n        : newChar;\n      if (action() === false) {\n        return\n      }\n    }\n\n    if (mode === AFTER_PATH) {\n      return keys\n    }\n  }\n}\n\n\n\n\n\nvar I18nPath = function I18nPath () {\n  this._cache = Object.create(null);\n};\n\n/**\n * External parse that check for a cache hit first\n */\nI18nPath.prototype.parsePath = function parsePath (path) {\n  var hit = this._cache[path];\n  if (!hit) {\n    hit = parse$1(path);\n    if (hit) {\n      this._cache[path] = hit;\n    }\n  }\n  return hit || []\n};\n\n/**\n * Get path value from path string\n */\nI18nPath.prototype.getPathValue = function getPathValue (obj, path) {\n  if (!isObject(obj)) { return null }\n\n  var paths = this.parsePath(path);\n  if (paths.length === 0) {\n    return null\n  } else {\n    var length = paths.length;\n    var last = obj;\n    var i = 0;\n    while (i < length) {\n      var value = last[paths[i]];\n      if (value === undefined || value === null) {\n        return null\n      }\n      last = value;\n      i++;\n    }\n\n    return last\n  }\n};\n\n/*  */\n\n\n\nvar htmlTagMatcher = /<\\/?[\\w\\s=\"/.':;#-\\/]+>/;\nvar linkKeyMatcher = /(?:@(?:\\.[a-zA-Z]+)?:(?:[\\w\\-_|./]+|\\([\\w\\-_:|./]+\\)))/g;\nvar linkKeyPrefixMatcher = /^@(?:\\.([a-zA-Z]+))?:/;\nvar bracketsMatcher = /[()]/g;\nvar defaultModifiers = {\n  'upper': function (str) { return str.toLocaleUpperCase(); },\n  'lower': function (str) { return str.toLocaleLowerCase(); },\n  'capitalize': function (str) { return (\"\" + (str.charAt(0).toLocaleUpperCase()) + (str.substr(1))); }\n};\n\nvar defaultFormatter = new BaseFormatter();\n\nvar VueI18n = function VueI18n (options) {\n  var this$1 = this;\n  if ( options === void 0 ) options = {};\n\n  // Auto install if it is not done yet and `window` has `Vue`.\n  // To allow users to avoid auto-installation in some cases,\n  // this code should be placed here. See #290\n  /* istanbul ignore if */\n  if (!Vue && typeof window !== 'undefined' && window.Vue) {\n    install(window.Vue);\n  }\n\n  var locale = options.locale || 'en-US';\n  var fallbackLocale = options.fallbackLocale === false\n    ? false\n    : options.fallbackLocale || 'en-US';\n  var messages = options.messages || {};\n  var dateTimeFormats = options.dateTimeFormats || options.datetimeFormats || {};\n  var numberFormats = options.numberFormats || {};\n\n  this._vm = null;\n  this._formatter = options.formatter || defaultFormatter;\n  this._modifiers = options.modifiers || {};\n  this._missing = options.missing || null;\n  this._root = options.root || null;\n  this._sync = options.sync === undefined ? true : !!options.sync;\n  this._fallbackRoot = options.fallbackRoot === undefined\n    ? true\n    : !!options.fallbackRoot;\n  this._fallbackRootWithEmptyString = options.fallbackRootWithEmptyString === undefined\n    ? true\n    : !!options.fallbackRootWithEmptyString;\n  this._formatFallbackMessages = options.formatFallbackMessages === undefined\n    ? false\n    : !!options.formatFallbackMessages;\n  this._silentTranslationWarn = options.silentTranslationWarn === undefined\n    ? false\n    : options.silentTranslationWarn;\n  this._silentFallbackWarn = options.silentFallbackWarn === undefined\n    ? false\n    : !!options.silentFallbackWarn;\n  this._dateTimeFormatters = {};\n  this._numberFormatters = {};\n  this._path = new I18nPath();\n  this._dataListeners = new Set();\n  this._componentInstanceCreatedListener = options.componentInstanceCreatedListener || null;\n  this._preserveDirectiveContent = options.preserveDirectiveContent === undefined\n    ? false\n    : !!options.preserveDirectiveContent;\n  this.pluralizationRules = options.pluralizationRules || {};\n  this._warnHtmlInMessage = options.warnHtmlInMessage || 'off';\n  this._postTranslation = options.postTranslation || null;\n  this._escapeParameterHtml = options.escapeParameterHtml || false;\n\n  if ('__VUE_I18N_BRIDGE__' in options) {\n    this.__VUE_I18N_BRIDGE__ = options.__VUE_I18N_BRIDGE__;\n  }\n\n  /**\n   * @param choice {number} a choice index given by the input to $tc: `$tc('path.to.rule', choiceIndex)`\n   * @param choicesLength {number} an overall amount of available choices\n   * @returns a final choice index\n  */\n  this.getChoiceIndex = function (choice, choicesLength) {\n    var thisPrototype = Object.getPrototypeOf(this$1);\n    if (thisPrototype && thisPrototype.getChoiceIndex) {\n      var prototypeGetChoiceIndex = (thisPrototype.getChoiceIndex);\n      return (prototypeGetChoiceIndex).call(this$1, choice, choicesLength)\n    }\n\n    // Default (old) getChoiceIndex implementation - english-compatible\n    var defaultImpl = function (_choice, _choicesLength) {\n      _choice = Math.abs(_choice);\n\n      if (_choicesLength === 2) {\n        return _choice\n          ? _choice > 1\n            ? 1\n            : 0\n          : 1\n      }\n\n      return _choice ? Math.min(_choice, 2) : 0\n    };\n\n    if (this$1.locale in this$1.pluralizationRules) {\n      return this$1.pluralizationRules[this$1.locale].apply(this$1, [choice, choicesLength])\n    } else {\n      return defaultImpl(choice, choicesLength)\n    }\n  };\n\n\n  this._exist = function (message, key) {\n    if (!message || !key) { return false }\n    if (!isNull(this$1._path.getPathValue(message, key))) { return true }\n    // fallback for flat key\n    if (message[key]) { return true }\n    return false\n  };\n\n  if (this._warnHtmlInMessage === 'warn' || this._warnHtmlInMessage === 'error') {\n    Object.keys(messages).forEach(function (locale) {\n      this$1._checkLocaleMessage(locale, this$1._warnHtmlInMessage, messages[locale]);\n    });\n  }\n\n  this._initVM({\n    locale: locale,\n    fallbackLocale: fallbackLocale,\n    messages: messages,\n    dateTimeFormats: dateTimeFormats,\n    numberFormats: numberFormats\n  });\n};\n\nvar prototypeAccessors = { vm: { configurable: true },messages: { configurable: true },dateTimeFormats: { configurable: true },numberFormats: { configurable: true },availableLocales: { configurable: true },locale: { configurable: true },fallbackLocale: { configurable: true },formatFallbackMessages: { configurable: true },missing: { configurable: true },formatter: { configurable: true },silentTranslationWarn: { configurable: true },silentFallbackWarn: { configurable: true },preserveDirectiveContent: { configurable: true },warnHtmlInMessage: { configurable: true },postTranslation: { configurable: true },sync: { configurable: true } };\n\nVueI18n.prototype._checkLocaleMessage = function _checkLocaleMessage (locale, level, message) {\n  var paths = [];\n\n  var fn = function (level, locale, message, paths) {\n    if (isPlainObject(message)) {\n      Object.keys(message).forEach(function (key) {\n        var val = message[key];\n        if (isPlainObject(val)) {\n          paths.push(key);\n          paths.push('.');\n          fn(level, locale, val, paths);\n          paths.pop();\n          paths.pop();\n        } else {\n          paths.push(key);\n          fn(level, locale, val, paths);\n          paths.pop();\n        }\n      });\n    } else if (isArray(message)) {\n      message.forEach(function (item, index) {\n        if (isPlainObject(item)) {\n          paths.push((\"[\" + index + \"]\"));\n          paths.push('.');\n          fn(level, locale, item, paths);\n          paths.pop();\n          paths.pop();\n        } else {\n          paths.push((\"[\" + index + \"]\"));\n          fn(level, locale, item, paths);\n          paths.pop();\n        }\n      });\n    } else if (isString(message)) {\n      var ret = htmlTagMatcher.test(message);\n      if (ret) {\n        var msg = \"Detected HTML in message '\" + message + \"' of keypath '\" + (paths.join('')) + \"' at '\" + locale + \"'. Consider component interpolation with '<i18n>' to avoid XSS. See https://bit.ly/2ZqJzkp\";\n        if (level === 'warn') {\n          warn(msg);\n        } else if (level === 'error') {\n          error(msg);\n        }\n      }\n    }\n  };\n\n  fn(level, locale, message, paths);\n};\n\nVueI18n.prototype._initVM = function _initVM (data) {\n  var silent = Vue.config.silent;\n  Vue.config.silent = true;\n  this._vm = new Vue({ data: data, __VUE18N__INSTANCE__: true });\n  Vue.config.silent = silent;\n};\n\nVueI18n.prototype.destroyVM = function destroyVM () {\n  this._vm.$destroy();\n};\n\nVueI18n.prototype.subscribeDataChanging = function subscribeDataChanging (vm) {\n  this._dataListeners.add(vm);\n};\n\nVueI18n.prototype.unsubscribeDataChanging = function unsubscribeDataChanging (vm) {\n  remove(this._dataListeners, vm);\n};\n\nVueI18n.prototype.watchI18nData = function watchI18nData () {\n    var this$1 = this;\n  return this._vm.$watch('$data', function () {\n    var listeners = arrayFrom(this$1._dataListeners);\n    var i = listeners.length;\n    while(i--) {\n      Vue.nextTick(function () {\n        listeners[i] && listeners[i].$forceUpdate();\n      });\n    }\n  }, { deep: true })\n};\n\nVueI18n.prototype.watchLocale = function watchLocale (composer) {\n  if (!composer) {\n    /* istanbul ignore if */\n    if (!this._sync || !this._root) { return null }\n    var target = this._vm;\n    return this._root.$i18n.vm.$watch('locale', function (val) {\n      target.$set(target, 'locale', val);\n      target.$forceUpdate();\n    }, { immediate: true })\n  } else {\n    // deal with vue-i18n-bridge\n    if (!this.__VUE_I18N_BRIDGE__) { return null }\n    var self = this;\n    var target$1 = this._vm;\n    return this.vm.$watch('locale', function (val) {\n      target$1.$set(target$1, 'locale', val);\n      if (self.__VUE_I18N_BRIDGE__ && composer) {\n        composer.locale.value = val;\n      }\n      target$1.$forceUpdate();\n    }, { immediate: true })\n  }\n};\n\nVueI18n.prototype.onComponentInstanceCreated = function onComponentInstanceCreated (newI18n) {\n  if (this._componentInstanceCreatedListener) {\n    this._componentInstanceCreatedListener(newI18n, this);\n  }\n};\n\nprototypeAccessors.vm.get = function () { return this._vm };\n\nprototypeAccessors.messages.get = function () { return looseClone(this._getMessages()) };\nprototypeAccessors.dateTimeFormats.get = function () { return looseClone(this._getDateTimeFormats()) };\nprototypeAccessors.numberFormats.get = function () { return looseClone(this._getNumberFormats()) };\nprototypeAccessors.availableLocales.get = function () { return Object.keys(this.messages).sort() };\n\nprototypeAccessors.locale.get = function () { return this._vm.locale };\nprototypeAccessors.locale.set = function (locale) {\n  this._vm.$set(this._vm, 'locale', locale);\n};\n\nprototypeAccessors.fallbackLocale.get = function () { return this._vm.fallbackLocale };\nprototypeAccessors.fallbackLocale.set = function (locale) {\n  this._localeChainCache = {};\n  this._vm.$set(this._vm, 'fallbackLocale', locale);\n};\n\nprototypeAccessors.formatFallbackMessages.get = function () { return this._formatFallbackMessages };\nprototypeAccessors.formatFallbackMessages.set = function (fallback) { this._formatFallbackMessages = fallback; };\n\nprototypeAccessors.missing.get = function () { return this._missing };\nprototypeAccessors.missing.set = function (handler) { this._missing = handler; };\n\nprototypeAccessors.formatter.get = function () { return this._formatter };\nprototypeAccessors.formatter.set = function (formatter) { this._formatter = formatter; };\n\nprototypeAccessors.silentTranslationWarn.get = function () { return this._silentTranslationWarn };\nprototypeAccessors.silentTranslationWarn.set = function (silent) { this._silentTranslationWarn = silent; };\n\nprototypeAccessors.silentFallbackWarn.get = function () { return this._silentFallbackWarn };\nprototypeAccessors.silentFallbackWarn.set = function (silent) { this._silentFallbackWarn = silent; };\n\nprototypeAccessors.preserveDirectiveContent.get = function () { return this._preserveDirectiveContent };\nprototypeAccessors.preserveDirectiveContent.set = function (preserve) { this._preserveDirectiveContent = preserve; };\n\nprototypeAccessors.warnHtmlInMessage.get = function () { return this._warnHtmlInMessage };\nprototypeAccessors.warnHtmlInMessage.set = function (level) {\n    var this$1 = this;\n\n  var orgLevel = this._warnHtmlInMessage;\n  this._warnHtmlInMessage = level;\n  if (orgLevel !== level && (level === 'warn' || level === 'error')) {\n    var messages = this._getMessages();\n    Object.keys(messages).forEach(function (locale) {\n      this$1._checkLocaleMessage(locale, this$1._warnHtmlInMessage, messages[locale]);\n    });\n  }\n};\n\nprototypeAccessors.postTranslation.get = function () { return this._postTranslation };\nprototypeAccessors.postTranslation.set = function (handler) { this._postTranslation = handler; };\n\nprototypeAccessors.sync.get = function () { return this._sync };\nprototypeAccessors.sync.set = function (val) { this._sync = val; };\n\nVueI18n.prototype._getMessages = function _getMessages () { return this._vm.messages };\nVueI18n.prototype._getDateTimeFormats = function _getDateTimeFormats () { return this._vm.dateTimeFormats };\nVueI18n.prototype._getNumberFormats = function _getNumberFormats () { return this._vm.numberFormats };\n\nVueI18n.prototype._warnDefault = function _warnDefault (locale, key, result, vm, values, interpolateMode) {\n  if (!isNull(result)) { return result }\n  if (this._missing) {\n    var missingRet = this._missing.apply(null, [locale, key, vm, values]);\n    if (isString(missingRet)) {\n      return missingRet\n    }\n  } else {\n    if (process.env.NODE_ENV !== 'production' && !this._isSilentTranslationWarn(key)) {\n      warn(\n        \"Cannot translate the value of keypath '\" + key + \"'. \" +\n        'Use the value of keypath as default.'\n      );\n    }\n  }\n\n  if (this._formatFallbackMessages) {\n    var parsedArgs = parseArgs.apply(void 0, values);\n    return this._render(key, interpolateMode, parsedArgs.params, key)\n  } else {\n    return key\n  }\n};\n\nVueI18n.prototype._isFallbackRoot = function _isFallbackRoot (val) {\n  return (this._fallbackRootWithEmptyString? !val : isNull(val)) && !isNull(this._root) && this._fallbackRoot\n};\n\nVueI18n.prototype._isSilentFallbackWarn = function _isSilentFallbackWarn (key) {\n  return this._silentFallbackWarn instanceof RegExp\n    ? this._silentFallbackWarn.test(key)\n    : this._silentFallbackWarn\n};\n\nVueI18n.prototype._isSilentFallback = function _isSilentFallback (locale, key) {\n  return this._isSilentFallbackWarn(key) && (this._isFallbackRoot() || locale !== this.fallbackLocale)\n};\n\nVueI18n.prototype._isSilentTranslationWarn = function _isSilentTranslationWarn (key) {\n  return this._silentTranslationWarn instanceof RegExp\n    ? this._silentTranslationWarn.test(key)\n    : this._silentTranslationWarn\n};\n\nVueI18n.prototype._interpolate = function _interpolate (\n  locale,\n  message,\n  key,\n  host,\n  interpolateMode,\n  values,\n  visitedLinkStack\n) {\n  if (!message) { return null }\n\n  var pathRet = this._path.getPathValue(message, key);\n  if (isArray(pathRet) || isPlainObject(pathRet)) { return pathRet }\n\n  var ret;\n  if (isNull(pathRet)) {\n    /* istanbul ignore else */\n    if (isPlainObject(message)) {\n      ret = message[key];\n      if (!(isString(ret) || isFunction(ret))) {\n        if (process.env.NODE_ENV !== 'production' && !this._isSilentTranslationWarn(key) && !this._isSilentFallback(locale, key)) {\n          warn((\"Value of key '\" + key + \"' is not a string or function !\"));\n        }\n        return null\n      }\n    } else {\n      return null\n    }\n  } else {\n    /* istanbul ignore else */\n    if (isString(pathRet) || isFunction(pathRet)) {\n      ret = pathRet;\n    } else {\n      if (process.env.NODE_ENV !== 'production' && !this._isSilentTranslationWarn(key) && !this._isSilentFallback(locale, key)) {\n        warn((\"Value of key '\" + key + \"' is not a string or function!\"));\n      }\n      return null\n    }\n  }\n\n  // Check for the existence of links within the translated string\n  if (isString(ret) && (ret.indexOf('@:') >= 0 || ret.indexOf('@.') >= 0)) {\n    ret = this._link(locale, message, ret, host, 'raw', values, visitedLinkStack);\n  }\n\n  return this._render(ret, interpolateMode, values, key)\n};\n\nVueI18n.prototype._link = function _link (\n  locale,\n  message,\n  str,\n  host,\n  interpolateMode,\n  values,\n  visitedLinkStack\n) {\n  var ret = str;\n\n  // Match all the links within the local\n  // We are going to replace each of\n  // them with its translation\n  var matches = ret.match(linkKeyMatcher);\n\n  // eslint-disable-next-line no-autofix/prefer-const\n  for (var idx in matches) {\n    // ie compatible: filter custom array\n    // prototype method\n    if (!matches.hasOwnProperty(idx)) {\n      continue\n    }\n    var link = matches[idx];\n    var linkKeyPrefixMatches = link.match(linkKeyPrefixMatcher);\n    var linkPrefix = linkKeyPrefixMatches[0];\n      var formatterName = linkKeyPrefixMatches[1];\n\n    // Remove the leading @:, @.case: and the brackets\n    var linkPlaceholder = link.replace(linkPrefix, '').replace(bracketsMatcher, '');\n\n    if (includes(visitedLinkStack, linkPlaceholder)) {\n      if (process.env.NODE_ENV !== 'production') {\n        warn((\"Circular reference found. \\\"\" + link + \"\\\" is already visited in the chain of \" + (visitedLinkStack.reverse().join(' <- '))));\n      }\n      return ret\n    }\n    visitedLinkStack.push(linkPlaceholder);\n\n    // Translate the link\n    var translated = this._interpolate(\n      locale, message, linkPlaceholder, host,\n      interpolateMode === 'raw' ? 'string' : interpolateMode,\n      interpolateMode === 'raw' ? undefined : values,\n      visitedLinkStack\n    );\n\n    if (this._isFallbackRoot(translated)) {\n      if (process.env.NODE_ENV !== 'production' && !this._isSilentTranslationWarn(linkPlaceholder)) {\n        warn((\"Fall back to translate the link placeholder '\" + linkPlaceholder + \"' with root locale.\"));\n      }\n      /* istanbul ignore if */\n      if (!this._root) { throw Error('unexpected error') }\n      var root = this._root.$i18n;\n      translated = root._translate(\n        root._getMessages(), root.locale, root.fallbackLocale,\n        linkPlaceholder, host, interpolateMode, values\n      );\n    }\n    translated = this._warnDefault(\n      locale, linkPlaceholder, translated, host,\n      isArray(values) ? values : [values],\n      interpolateMode\n    );\n\n    if (this._modifiers.hasOwnProperty(formatterName)) {\n      translated = this._modifiers[formatterName](translated);\n    } else if (defaultModifiers.hasOwnProperty(formatterName)) {\n      translated = defaultModifiers[formatterName](translated);\n    }\n\n    visitedLinkStack.pop();\n\n    // Replace the link with the translated\n    ret = !translated ? ret : ret.replace(link, translated);\n  }\n\n  return ret\n};\n\nVueI18n.prototype._createMessageContext = function _createMessageContext (values, formatter, path, interpolateMode) {\n    var this$1 = this;\n\n  var _list = isArray(values) ? values : [];\n  var _named = isObject(values) ? values : {};\n  var list = function (index) { return _list[index]; };\n  var named = function (key) { return _named[key]; };\n  var messages = this._getMessages();\n  var locale = this.locale;\n\n  return {\n    list: list,\n    named: named,\n    values: values,\n    formatter: formatter,\n    path: path,\n    messages: messages,\n    locale: locale,\n    linked: function (linkedKey) { return this$1._interpolate(locale, messages[locale] || {}, linkedKey, null, interpolateMode, undefined, [linkedKey]); }\n  }\n};\n\nVueI18n.prototype._render = function _render (message, interpolateMode, values, path) {\n  if (isFunction(message)) {\n    return message(\n      this._createMessageContext(values, this._formatter || defaultFormatter, path, interpolateMode)\n    )\n  }\n\n  var ret = this._formatter.interpolate(message, values, path);\n\n  // If the custom formatter refuses to work - apply the default one\n  if (!ret) {\n    ret = defaultFormatter.interpolate(message, values, path);\n  }\n\n  // if interpolateMode is **not** 'string' ('row'),\n  // return the compiled data (e.g. ['foo', VNode, 'bar']) with formatter\n  return interpolateMode === 'string' && !isString(ret) ? ret.join('') : ret\n};\n\nVueI18n.prototype._appendItemToChain = function _appendItemToChain (chain, item, blocks) {\n  var follow = false;\n  if (!includes(chain, item)) {\n    follow = true;\n    if (item) {\n      follow = item[item.length - 1] !== '!';\n      item = item.replace(/!/g, '');\n      chain.push(item);\n      if (blocks && blocks[item]) {\n        follow = blocks[item];\n      }\n    }\n  }\n  return follow\n};\n\nVueI18n.prototype._appendLocaleToChain = function _appendLocaleToChain (chain, locale, blocks) {\n  var follow;\n  var tokens = locale.split('-');\n  do {\n    var item = tokens.join('-');\n    follow = this._appendItemToChain(chain, item, blocks);\n    tokens.splice(-1, 1);\n  } while (tokens.length && (follow === true))\n  return follow\n};\n\nVueI18n.prototype._appendBlockToChain = function _appendBlockToChain (chain, block, blocks) {\n  var follow = true;\n  for (var i = 0; (i < block.length) && (isBoolean(follow)); i++) {\n    var locale = block[i];\n    if (isString(locale)) {\n      follow = this._appendLocaleToChain(chain, locale, blocks);\n    }\n  }\n  return follow\n};\n\nVueI18n.prototype._getLocaleChain = function _getLocaleChain (start, fallbackLocale) {\n  if (start === '') { return [] }\n\n  if (!this._localeChainCache) {\n    this._localeChainCache = {};\n  }\n\n  var chain = this._localeChainCache[start];\n  if (!chain) {\n    if (!fallbackLocale) {\n      fallbackLocale = this.fallbackLocale;\n    }\n    chain = [];\n\n    // first block defined by start\n    var block = [start];\n\n    // while any intervening block found\n    while (isArray(block)) {\n      block = this._appendBlockToChain(\n        chain,\n        block,\n        fallbackLocale\n      );\n    }\n\n    // last block defined by default\n    var defaults;\n    if (isArray(fallbackLocale)) {\n      defaults = fallbackLocale;\n    } else if (isObject(fallbackLocale)) {\n      /* $FlowFixMe */\n      if (fallbackLocale['default']) {\n        defaults = fallbackLocale['default'];\n      } else {\n        defaults = null;\n      }\n    } else {\n      defaults = fallbackLocale;\n    }\n\n    // convert defaults to array\n    if (isString(defaults)) {\n      block = [defaults];\n    } else {\n      block = defaults;\n    }\n    if (block) {\n      this._appendBlockToChain(\n        chain,\n        block,\n        null\n      );\n    }\n    this._localeChainCache[start] = chain;\n  }\n  return chain\n};\n\nVueI18n.prototype._translate = function _translate (\n  messages,\n  locale,\n  fallback,\n  key,\n  host,\n  interpolateMode,\n  args\n) {\n  var chain = this._getLocaleChain(locale, fallback);\n  var res;\n  for (var i = 0; i < chain.length; i++) {\n    var step = chain[i];\n    res =\n      this._interpolate(step, messages[step], key, host, interpolateMode, args, [key]);\n    if (!isNull(res)) {\n      if (step !== locale && process.env.NODE_ENV !== 'production' && !this._isSilentTranslationWarn(key) && !this._isSilentFallbackWarn(key)) {\n        warn((\"Fall back to translate the keypath '\" + key + \"' with '\" + step + \"' locale.\"));\n      }\n      return res\n    }\n  }\n  return null\n};\n\nVueI18n.prototype._t = function _t (key, _locale, messages, host) {\n    var ref;\n\n    var values = [], len = arguments.length - 4;\n    while ( len-- > 0 ) values[ len ] = arguments[ len + 4 ];\n  if (!key) { return '' }\n\n  var parsedArgs = parseArgs.apply(void 0, values);\n  if(this._escapeParameterHtml) {\n    parsedArgs.params = escapeParams(parsedArgs.params);\n  }\n\n  var locale = parsedArgs.locale || _locale;\n\n  var ret = this._translate(\n    messages, locale, this.fallbackLocale, key,\n    host, 'string', parsedArgs.params\n  );\n  if (this._isFallbackRoot(ret)) {\n    if (process.env.NODE_ENV !== 'production' && !this._isSilentTranslationWarn(key) && !this._isSilentFallbackWarn(key)) {\n      warn((\"Fall back to translate the keypath '\" + key + \"' with root locale.\"));\n    }\n    /* istanbul ignore if */\n    if (!this._root) { throw Error('unexpected error') }\n    return (ref = this._root).$t.apply(ref, [ key ].concat( values ))\n  } else {\n    ret = this._warnDefault(locale, key, ret, host, values, 'string');\n    if (this._postTranslation && ret !== null && ret !== undefined) {\n      ret = this._postTranslation(ret, key);\n    }\n    return ret\n  }\n};\n\nVueI18n.prototype.t = function t (key) {\n    var ref;\n\n    var values = [], len = arguments.length - 1;\n    while ( len-- > 0 ) values[ len ] = arguments[ len + 1 ];\n  return (ref = this)._t.apply(ref, [ key, this.locale, this._getMessages(), null ].concat( values ))\n};\n\nVueI18n.prototype._i = function _i (key, locale, messages, host, values) {\n  var ret =\n    this._translate(messages, locale, this.fallbackLocale, key, host, 'raw', values);\n  if (this._isFallbackRoot(ret)) {\n    if (process.env.NODE_ENV !== 'production' && !this._isSilentTranslationWarn(key)) {\n      warn((\"Fall back to interpolate the keypath '\" + key + \"' with root locale.\"));\n    }\n    if (!this._root) { throw Error('unexpected error') }\n    return this._root.$i18n.i(key, locale, values)\n  } else {\n    return this._warnDefault(locale, key, ret, host, [values], 'raw')\n  }\n};\n\nVueI18n.prototype.i = function i (key, locale, values) {\n  /* istanbul ignore if */\n  if (!key) { return '' }\n\n  if (!isString(locale)) {\n    locale = this.locale;\n  }\n\n  return this._i(key, locale, this._getMessages(), null, values)\n};\n\nVueI18n.prototype._tc = function _tc (\n  key,\n  _locale,\n  messages,\n  host,\n  choice\n) {\n    var ref;\n\n    var values = [], len = arguments.length - 5;\n    while ( len-- > 0 ) values[ len ] = arguments[ len + 5 ];\n  if (!key) { return '' }\n  if (choice === undefined) {\n    choice = 1;\n  }\n\n  var predefined = { 'count': choice, 'n': choice };\n  var parsedArgs = parseArgs.apply(void 0, values);\n  parsedArgs.params = Object.assign(predefined, parsedArgs.params);\n  values = parsedArgs.locale === null ? [parsedArgs.params] : [parsedArgs.locale, parsedArgs.params];\n  return this.fetchChoice((ref = this)._t.apply(ref, [ key, _locale, messages, host ].concat( values )), choice)\n};\n\nVueI18n.prototype.fetchChoice = function fetchChoice (message, choice) {\n  /* istanbul ignore if */\n  if (!message || !isString(message)) { return null }\n  var choices = message.split('|');\n\n  choice = this.getChoiceIndex(choice, choices.length);\n  if (!choices[choice]) { return message }\n  return choices[choice].trim()\n};\n\nVueI18n.prototype.tc = function tc (key, choice) {\n    var ref;\n\n    var values = [], len = arguments.length - 2;\n    while ( len-- > 0 ) values[ len ] = arguments[ len + 2 ];\n  return (ref = this)._tc.apply(ref, [ key, this.locale, this._getMessages(), null, choice ].concat( values ))\n};\n\nVueI18n.prototype._te = function _te (key, locale, messages) {\n    var args = [], len = arguments.length - 3;\n    while ( len-- > 0 ) args[ len ] = arguments[ len + 3 ];\n\n  var _locale = parseArgs.apply(void 0, args).locale || locale;\n  return this._exist(messages[_locale], key)\n};\n\nVueI18n.prototype.te = function te (key, locale) {\n  return this._te(key, this.locale, this._getMessages(), locale)\n};\n\nVueI18n.prototype.getLocaleMessage = function getLocaleMessage (locale) {\n  return looseClone(this._vm.messages[locale] || {})\n};\n\nVueI18n.prototype.setLocaleMessage = function setLocaleMessage (locale, message) {\n  if (this._warnHtmlInMessage === 'warn' || this._warnHtmlInMessage === 'error') {\n    this._checkLocaleMessage(locale, this._warnHtmlInMessage, message);\n  }\n  this._vm.$set(this._vm.messages, locale, message);\n};\n\nVueI18n.prototype.mergeLocaleMessage = function mergeLocaleMessage (locale, message) {\n  if (this._warnHtmlInMessage === 'warn' || this._warnHtmlInMessage === 'error') {\n    this._checkLocaleMessage(locale, this._warnHtmlInMessage, message);\n  }\n  this._vm.$set(this._vm.messages, locale, merge(\n    typeof this._vm.messages[locale] !== 'undefined' && Object.keys(this._vm.messages[locale]).length\n      ? Object.assign({}, this._vm.messages[locale])\n      : {},\n    message\n  ));\n};\n\nVueI18n.prototype.getDateTimeFormat = function getDateTimeFormat (locale) {\n  return looseClone(this._vm.dateTimeFormats[locale] || {})\n};\n\nVueI18n.prototype.setDateTimeFormat = function setDateTimeFormat (locale, format) {\n  this._vm.$set(this._vm.dateTimeFormats, locale, format);\n  this._clearDateTimeFormat(locale, format);\n};\n\nVueI18n.prototype.mergeDateTimeFormat = function mergeDateTimeFormat (locale, format) {\n  this._vm.$set(this._vm.dateTimeFormats, locale, merge(this._vm.dateTimeFormats[locale] || {}, format));\n  this._clearDateTimeFormat(locale, format);\n};\n\nVueI18n.prototype._clearDateTimeFormat = function _clearDateTimeFormat (locale, format) {\n  // eslint-disable-next-line no-autofix/prefer-const\n  for (var key in format) {\n    var id = locale + \"__\" + key;\n\n    if (!this._dateTimeFormatters.hasOwnProperty(id)) {\n      continue\n    }\n\n    delete this._dateTimeFormatters[id];\n  }\n};\n\nVueI18n.prototype._localizeDateTime = function _localizeDateTime (\n  value,\n  locale,\n  fallback,\n  dateTimeFormats,\n  key,\n  options\n) {\n  var _locale = locale;\n  var formats = dateTimeFormats[_locale];\n\n  var chain = this._getLocaleChain(locale, fallback);\n  for (var i = 0; i < chain.length; i++) {\n    var current = _locale;\n    var step = chain[i];\n    formats = dateTimeFormats[step];\n    _locale = step;\n    // fallback locale\n    if (isNull(formats) || isNull(formats[key])) {\n      if (step !== locale && process.env.NODE_ENV !== 'production' && !this._isSilentTranslationWarn(key) && !this._isSilentFallbackWarn(key)) {\n        warn((\"Fall back to '\" + step + \"' datetime formats from '\" + current + \"' datetime formats.\"));\n      }\n    } else {\n      break\n    }\n  }\n\n  if (isNull(formats) || isNull(formats[key])) {\n    return null\n  } else {\n    var format = formats[key];\n\n    var formatter;\n    if (options) {\n      formatter = new Intl.DateTimeFormat(_locale, Object.assign({}, format, options));\n    } else {\n      var id = _locale + \"__\" + key;\n      formatter = this._dateTimeFormatters[id];\n      if (!formatter) {\n        formatter = this._dateTimeFormatters[id] = new Intl.DateTimeFormat(_locale, format);\n      }\n    }\n\n    return formatter.format(value)\n  }\n};\n\nVueI18n.prototype._d = function _d (value, locale, key, options) {\n  /* istanbul ignore if */\n  if (process.env.NODE_ENV !== 'production' && !VueI18n.availabilities.dateTimeFormat) {\n    warn('Cannot format a Date value due to not supported Intl.DateTimeFormat.');\n    return ''\n  }\n\n  if (!key) {\n    var dtf = !options ? new Intl.DateTimeFormat(locale) : new Intl.DateTimeFormat(locale, options);\n    return dtf.format(value)\n  }\n\n  var ret =\n    this._localizeDateTime(value, locale, this.fallbackLocale, this._getDateTimeFormats(), key, options);\n  if (this._isFallbackRoot(ret)) {\n    if (process.env.NODE_ENV !== 'production' && !this._isSilentTranslationWarn(key) && !this._isSilentFallbackWarn(key)) {\n      warn((\"Fall back to datetime localization of root: key '\" + key + \"'.\"));\n    }\n    /* istanbul ignore if */\n    if (!this._root) { throw Error('unexpected error') }\n    return this._root.$i18n.d(value, key, locale)\n  } else {\n    return ret || ''\n  }\n};\n\nVueI18n.prototype.d = function d (value) {\n    var args = [], len = arguments.length - 1;\n    while ( len-- > 0 ) args[ len ] = arguments[ len + 1 ];\n\n  var locale = this.locale;\n  var key = null;\n  var options = null;\n\n  if (args.length === 1) {\n    if (isString(args[0])) {\n      key = args[0];\n    } else if (isObject(args[0])) {\n      if (args[0].locale) {\n        locale = args[0].locale;\n      }\n      if (args[0].key) {\n        key = args[0].key;\n      }\n    }\n\n    options = Object.keys(args[0]).reduce(function (acc, key) {\n        var obj;\n\n      if (includes(dateTimeFormatKeys, key)) {\n        return Object.assign({}, acc, ( obj = {}, obj[key] = args[0][key], obj ))\n      }\n      return acc\n    }, null);\n\n  } else if (args.length === 2) {\n    if (isString(args[0])) {\n      key = args[0];\n    }\n    if (isString(args[1])) {\n      locale = args[1];\n    }\n  }\n\n  return this._d(value, locale, key, options)\n};\n\nVueI18n.prototype.getNumberFormat = function getNumberFormat (locale) {\n  return looseClone(this._vm.numberFormats[locale] || {})\n};\n\nVueI18n.prototype.setNumberFormat = function setNumberFormat (locale, format) {\n  this._vm.$set(this._vm.numberFormats, locale, format);\n  this._clearNumberFormat(locale, format);\n};\n\nVueI18n.prototype.mergeNumberFormat = function mergeNumberFormat (locale, format) {\n  this._vm.$set(this._vm.numberFormats, locale, merge(this._vm.numberFormats[locale] || {}, format));\n  this._clearNumberFormat(locale, format);\n};\n\nVueI18n.prototype._clearNumberFormat = function _clearNumberFormat (locale, format) {\n  // eslint-disable-next-line no-autofix/prefer-const\n  for (var key in format) {\n    var id = locale + \"__\" + key;\n\n    if (!this._numberFormatters.hasOwnProperty(id)) {\n      continue\n    }\n\n    delete this._numberFormatters[id];\n  }\n};\n\nVueI18n.prototype._getNumberFormatter = function _getNumberFormatter (\n  value,\n  locale,\n  fallback,\n  numberFormats,\n  key,\n  options\n) {\n  var _locale = locale;\n  var formats = numberFormats[_locale];\n\n  var chain = this._getLocaleChain(locale, fallback);\n  for (var i = 0; i < chain.length; i++) {\n    var current = _locale;\n    var step = chain[i];\n    formats = numberFormats[step];\n    _locale = step;\n    // fallback locale\n    if (isNull(formats) || isNull(formats[key])) {\n      if (step !== locale && process.env.NODE_ENV !== 'production' && !this._isSilentTranslationWarn(key) && !this._isSilentFallbackWarn(key)) {\n        warn((\"Fall back to '\" + step + \"' number formats from '\" + current + \"' number formats.\"));\n      }\n    } else {\n      break\n    }\n  }\n\n  if (isNull(formats) || isNull(formats[key])) {\n    return null\n  } else {\n    var format = formats[key];\n\n    var formatter;\n    if (options) {\n      // If options specified - create one time number formatter\n      formatter = new Intl.NumberFormat(_locale, Object.assign({}, format, options));\n    } else {\n      var id = _locale + \"__\" + key;\n      formatter = this._numberFormatters[id];\n      if (!formatter) {\n        formatter = this._numberFormatters[id] = new Intl.NumberFormat(_locale, format);\n      }\n    }\n    return formatter\n  }\n};\n\nVueI18n.prototype._n = function _n (value, locale, key, options) {\n  /* istanbul ignore if */\n  if (!VueI18n.availabilities.numberFormat) {\n    if (process.env.NODE_ENV !== 'production') {\n      warn('Cannot format a Number value due to not supported Intl.NumberFormat.');\n    }\n    return ''\n  }\n\n  if (!key) {\n    var nf = !options ? new Intl.NumberFormat(locale) : new Intl.NumberFormat(locale, options);\n    return nf.format(value)\n  }\n\n  var formatter = this._getNumberFormatter(value, locale, this.fallbackLocale, this._getNumberFormats(), key, options);\n  var ret = formatter && formatter.format(value);\n  if (this._isFallbackRoot(ret)) {\n    if (process.env.NODE_ENV !== 'production' && !this._isSilentTranslationWarn(key) && !this._isSilentFallbackWarn(key)) {\n      warn((\"Fall back to number localization of root: key '\" + key + \"'.\"));\n    }\n    /* istanbul ignore if */\n    if (!this._root) { throw Error('unexpected error') }\n    return this._root.$i18n.n(value, Object.assign({}, { key: key, locale: locale }, options))\n  } else {\n    return ret || ''\n  }\n};\n\nVueI18n.prototype.n = function n (value) {\n    var args = [], len = arguments.length - 1;\n    while ( len-- > 0 ) args[ len ] = arguments[ len + 1 ];\n\n  var locale = this.locale;\n  var key = null;\n  var options = null;\n\n  if (args.length === 1) {\n    if (isString(args[0])) {\n      key = args[0];\n    } else if (isObject(args[0])) {\n      if (args[0].locale) {\n        locale = args[0].locale;\n      }\n      if (args[0].key) {\n        key = args[0].key;\n      }\n\n      // Filter out number format options only\n      options = Object.keys(args[0]).reduce(function (acc, key) {\n          var obj;\n\n        if (includes(numberFormatKeys, key)) {\n          return Object.assign({}, acc, ( obj = {}, obj[key] = args[0][key], obj ))\n        }\n        return acc\n      }, null);\n    }\n  } else if (args.length === 2) {\n    if (isString(args[0])) {\n      key = args[0];\n    }\n    if (isString(args[1])) {\n      locale = args[1];\n    }\n  }\n\n  return this._n(value, locale, key, options)\n};\n\nVueI18n.prototype._ntp = function _ntp (value, locale, key, options) {\n  /* istanbul ignore if */\n  if (!VueI18n.availabilities.numberFormat) {\n    if (process.env.NODE_ENV !== 'production') {\n      warn('Cannot format to parts a Number value due to not supported Intl.NumberFormat.');\n    }\n    return []\n  }\n\n  if (!key) {\n    var nf = !options ? new Intl.NumberFormat(locale) : new Intl.NumberFormat(locale, options);\n    return nf.formatToParts(value)\n  }\n\n  var formatter = this._getNumberFormatter(value, locale, this.fallbackLocale, this._getNumberFormats(), key, options);\n  var ret = formatter && formatter.formatToParts(value);\n  if (this._isFallbackRoot(ret)) {\n    if (process.env.NODE_ENV !== 'production' && !this._isSilentTranslationWarn(key)) {\n      warn((\"Fall back to format number to parts of root: key '\" + key + \"' .\"));\n    }\n    /* istanbul ignore if */\n    if (!this._root) { throw Error('unexpected error') }\n    return this._root.$i18n._ntp(value, locale, key, options)\n  } else {\n    return ret || []\n  }\n};\n\nObject.defineProperties( VueI18n.prototype, prototypeAccessors );\n\nvar availabilities;\n// $FlowFixMe\nObject.defineProperty(VueI18n, 'availabilities', {\n  get: function get () {\n    if (!availabilities) {\n      var intlDefined = typeof Intl !== 'undefined';\n      availabilities = {\n        dateTimeFormat: intlDefined && typeof Intl.DateTimeFormat !== 'undefined',\n        numberFormat: intlDefined && typeof Intl.NumberFormat !== 'undefined'\n      };\n    }\n\n    return availabilities\n  }\n});\n\nVueI18n.install = install;\nVueI18n.version = '8.28.2';\n\nexport default VueI18n;\n","import Vue from 'vue';\r\nimport VueI18n, { LocaleMessages } from 'vue-i18n';\r\nimport customersAPI from '@/services/CustomersService';\r\n\r\nVue.use(VueI18n);\r\n\r\nfunction loadLocaleMessages(): LocaleMessages {\r\n  if (process.env.VUE_APP_USE_LOCAL_TRANSLATIONS === 'false') {\r\n    return {};\r\n  }\r\n\r\n  const locales = require.context(\r\n    './locales',\r\n    true,\r\n    /[A-Za-z0-9-_,\\s]+\\.json$/i\r\n  );\r\n  const messages: LocaleMessages = {};\r\n  locales.keys().forEach((key) => {\r\n    const matched = key.match(/([A-Za-z0-9-_]+)\\./i);\r\n    if (matched && matched.length > 1) {\r\n      const locale = matched[1];\r\n      messages[locale] = locales(key);\r\n    }\r\n  });\r\n  return messages;\r\n}\r\n\r\nexport default new VueI18n({\r\n  locale: process.env.VUE_APP_I18N_LOCALE || 'en',\r\n  fallbackLocale: process.env.VUE_APP_I18N_FALLBACK_LOCALE || 'en',\r\n  messages: loadLocaleMessages(),\r\n});\r\n","'use strict';\n// TODO: Remove from `core-js@4`\nrequire('../modules/es.set.difference.v2');\n","'use strict';\nvar uncurryThis = require('../internals/function-uncurry-this');\nvar isCallable = require('../internals/is-callable');\nvar store = require('../internals/shared-store');\n\nvar functionToString = uncurryThis(Function.toString);\n\n// this helper broken in `core-js@3.4.1-3.4.4`, so we can't use `shared` helper\nif (!isCallable(store.inspectSource)) {\n  store.inspectSource = function (it) {\n    return functionToString(it);\n  };\n}\n\nmodule.exports = store.inspectSource;\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".title[data-v-2c7c02d0]{font-family:Roboto;font-size:20px;width:256px;height:52px;display:block;color:var(--gray-100);padding:11px 0 11px 0;margin:0 16px}.loader[data-v-2c7c02d0]{width:288px!important;height:40px!important;margin:20px 16px 0!important;padding:15px 70px 8px 66px!important;bottom:45px!important}.container[data-v-2c7c02d0]{margin-top:5px}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./InfoBox.vue?vue&type=style&index=0&id=18fb64e4&prod&lang=scss\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"29bb7b84\", content, shadowRoot)\n};","'use strict';\nvar $ = require('../internals/export');\nvar isSubsetOf = require('../internals/set-is-subset-of');\nvar setMethodAcceptSetLike = require('../internals/set-method-accept-set-like');\n\n// `Set.prototype.isSubsetOf` method\n// https://github.com/tc39/proposal-set-methods\n$({ target: 'Set', proto: true, real: true, forced: !setMethodAcceptSetLike('isSubsetOf') }, {\n  isSubsetOf: isSubsetOf\n});\n","export * from \"-!../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PrintTechniqueHeader.vue?vue&type=style&index=0&id=df60dd3a&prod&lang=scss&scoped=true\"","import {\r\n  LaserConverter,\r\n  RemoveBackgroundFull,\r\n  RemoveBackgroundOutsideImage,\r\n  RemoveColor,\r\n  ReplaceColor,\r\n  UserActionData,\r\n} from '@/web-components/import-wizard/typings';\r\nimport { defineStore } from 'pinia';\r\nimport {\r\n  CropInput,\r\n  RemoveBackgroundFullInput,\r\n  RemoveBackgroundOutsideImageInput,\r\n  RemoveColorInput,\r\n  ReplaceColorInput,\r\n  UserActionInputType,\r\n  UserAction,\r\n  PmsColor,\r\n} from '@midocean/webapps-shared-domain';\r\n\r\nexport const useStore = defineStore({\r\n  id: 'actions',\r\n\r\n  state: () => {\r\n    return {\r\n      sequenceNum: 0,\r\n      actions: [] as UserActionData[],\r\n    };\r\n  },\r\n\r\n  actions: {\r\n    createRemoveColorAction(shapeId: string, colorToRemove: PmsColor) {\r\n      this.sequenceNum = this.sequenceNum + 1;\r\n      const actionPayload = {\r\n        seq: this.sequenceNum,\r\n        shapeId: shapeId,\r\n        action: {\r\n          $type: 'RemoveColor',\r\n          colorToRemove: colorToRemove,\r\n        },\r\n      };\r\n      this.pushNewAction(actionPayload);\r\n    },\r\n    createReplaceColorAction(shapeId: string, from: PmsColor, to: PmsColor) {\r\n      this.sequenceNum = this.sequenceNum + 1;\r\n      const actionPayload = {\r\n        seq: this.sequenceNum,\r\n        shapeId: shapeId,\r\n        action: {\r\n          $type: 'ReplaceColor',\r\n          colorToReplace: from,\r\n          replaceWith: to,\r\n        },\r\n      };\r\n      this.pushNewAction(actionPayload);\r\n    },\r\n    createRemoveBackgroundFullAction(\r\n      shapeId: string,\r\n      backgroundColor: PmsColor\r\n    ) {\r\n      this.sequenceNum = this.sequenceNum + 1;\r\n      const actionPayload = {\r\n        seq: this.sequenceNum,\r\n        shapeId: shapeId,\r\n        action: {\r\n          $type: 'RemoveBackgroundFull',\r\n          backgroundColor: backgroundColor,\r\n        },\r\n      };\r\n      this.pushNewAction(actionPayload);\r\n    },\r\n    createRemoveBackgroundOutsideImageAction(\r\n      shapeId: string,\r\n      backgroundColor: PmsColor\r\n    ) {\r\n      this.sequenceNum = this.sequenceNum + 1;\r\n      const actionPayload = {\r\n        seq: this.sequenceNum,\r\n        shapeId: shapeId,\r\n        action: {\r\n          $type: 'RemoveBackgroundOutsideImage',\r\n          backgroundColor: backgroundColor,\r\n        },\r\n      };\r\n      this.pushNewAction(actionPayload);\r\n    },\r\n    createLaserConverterAction(shapeId: string) {\r\n      this.sequenceNum = this.sequenceNum + 1;\r\n      const actionPayload = {\r\n        seq: this.sequenceNum,\r\n        shapeId: shapeId,\r\n        action: {\r\n          $type: 'LaserConverter',\r\n        },\r\n      };\r\n      this.pushNewAction(actionPayload);\r\n    },\r\n    createCropAction(\r\n      shapeId: string,\r\n      crop: { left: number; right: number; top: number; bottom: number }\r\n    ) {\r\n      this.sequenceNum = this.sequenceNum + 1;\r\n      const actionPayload = {\r\n        seq: this.sequenceNum,\r\n        shapeId: shapeId,\r\n        action: {\r\n          $type: 'Crop',\r\n          croppedFromLeftPct: crop.left,\r\n          croppedFromRightPct: crop.right,\r\n          croppedFromTopPct: crop.top,\r\n          croppedFromBottomPct: crop.bottom,\r\n        },\r\n      };\r\n      this.pushNewAction(actionPayload);\r\n    },\r\n    pushNewAction(action: UserActionData) {\r\n      this.actions.push({ ...action });\r\n    },\r\n    prepareActionsPayload(shapeId: string): UserAction[] {\r\n      const shapeUserActions: UserActionData[] = this.actions\r\n        .filter((action) => action.shapeId === shapeId)\r\n        .sort((a, b) => a.seq - b.seq);\r\n\r\n      const mapUserActions: UserAction[] = shapeUserActions.map(\r\n        (action, index) => {\r\n          return {\r\n            userActionType: action.action.$type,\r\n            sequenceNumber: index + 1,\r\n            userActionInput: {\r\n              ...action.action,\r\n              $type: UserActionInputType[action.action.$type],\r\n            },\r\n          } as UserAction;\r\n        }\r\n      );\r\n      return mapUserActions;\r\n    },\r\n\r\n    initializeUserActionForArtwork(shapeId: string, actions: UserAction[]) {\r\n      actions.map((act) => {\r\n        if (act.userActionType === 'LaserConverter') {\r\n          this.sequenceNum = this.sequenceNum + 1;\r\n          const action: UserActionData = {\r\n            seq: this.sequenceNum,\r\n            shapeId: shapeId,\r\n            action: {\r\n              $type: 'LaserConverter',\r\n            } as LaserConverter,\r\n          };\r\n\r\n          this.pushNewAction(action);\r\n          return;\r\n        }\r\n\r\n        if (act.userActionType === 'ReplaceColor') {\r\n          this.sequenceNum = this.sequenceNum + 1;\r\n          const replaceClrPayload = act.userActionInput as ReplaceColorInput;\r\n\r\n          const action: UserActionData = {\r\n            seq: this.sequenceNum,\r\n            shapeId: shapeId,\r\n            action: {\r\n              $type: 'ReplaceColor',\r\n              colorToReplace: replaceClrPayload.colorToReplace,\r\n              replaceWith: replaceClrPayload.replaceWith,\r\n            } as ReplaceColor,\r\n          };\r\n\r\n          this.pushNewAction(action);\r\n          return;\r\n        }\r\n\r\n        if (act.userActionType === 'RemoveColor') {\r\n          this.sequenceNum = this.sequenceNum + 1;\r\n          const removeClrPayload = act.userActionInput as RemoveColorInput;\r\n\r\n          const action: UserActionData = {\r\n            seq: this.sequenceNum,\r\n            shapeId: shapeId,\r\n            action: {\r\n              $type: 'RemoveColor',\r\n              colorToRemove: removeClrPayload.colorToRemove,\r\n            } as RemoveColor,\r\n          };\r\n\r\n          this.pushNewAction(action);\r\n          return;\r\n        }\r\n\r\n        if (act.userActionType === 'RemoveBackgroundOutsideImage') {\r\n          this.sequenceNum = this.sequenceNum + 1;\r\n          const removeBackClcOutsidePayload =\r\n            act.userActionInput as RemoveBackgroundOutsideImageInput;\r\n\r\n          const action: UserActionData = {\r\n            seq: this.sequenceNum,\r\n            shapeId: shapeId,\r\n            action: {\r\n              $type: 'RemoveBackgroundOutsideImage',\r\n              backgroundColor: removeBackClcOutsidePayload.backgroundColor,\r\n            } as RemoveBackgroundOutsideImage,\r\n          };\r\n\r\n          this.pushNewAction(action);\r\n          return;\r\n        }\r\n\r\n        if (act.userActionType === 'RemoveBackgroundFull') {\r\n          this.sequenceNum = this.sequenceNum + 1;\r\n          const removeBackClcFullPayload =\r\n            act.userActionInput as RemoveBackgroundFullInput;\r\n\r\n          const action: UserActionData = {\r\n            seq: this.sequenceNum,\r\n            shapeId: shapeId,\r\n            action: {\r\n              $type: 'RemoveBackgroundFull',\r\n              backgroundColor: removeBackClcFullPayload.backgroundColor,\r\n            } as RemoveBackgroundFull,\r\n          };\r\n\r\n          this.pushNewAction(action);\r\n          return;\r\n        }\r\n\r\n        if (act.userActionType === 'Crop') {\r\n          this.sequenceNum = this.sequenceNum + 1;\r\n          const cropPayload = act.userActionInput as CropInput;\r\n\r\n          const action: UserActionData = {\r\n            seq: this.sequenceNum,\r\n            shapeId: shapeId,\r\n            action: {\r\n              ...cropPayload,\r\n              $type: 'Crop',\r\n            } as CropInput,\r\n          };\r\n\r\n          this.pushNewAction(action);\r\n          return;\r\n        }\r\n      });\r\n    },\r\n    createDebossingConverterAction(shapeId: string) {\r\n      this.sequenceNum = this.sequenceNum + 1;\r\n      return {\r\n        seq: this.sequenceNum,\r\n        shapeId: shapeId,\r\n        action: {\r\n          $type: 'DebossingConverter',\r\n        },\r\n      };\r\n    },\r\n    createSublimationConverterAction(shapeId: string) {\r\n      this.sequenceNum = this.sequenceNum + 1;\r\n      return {\r\n        seq: this.sequenceNum,\r\n        shapeId: shapeId,\r\n        action: {\r\n          $type: 'SublimationConverter',\r\n        },\r\n      };\r\n    },\r\n    createPantoneConverterAction(shapeId: string) {\r\n      this.sequenceNum = this.sequenceNum + 1;\r\n      return {\r\n        seq: this.sequenceNum,\r\n        shapeId: shapeId,\r\n        action: {\r\n          $type: 'PantoneConverter',\r\n        },\r\n      };\r\n    },\r\n  },\r\n});\r\n","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./CustomAddButton.vue?vue&type=style&index=0&id=f91eb79e&prod&lang=scss&scoped=true\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"4ebfce2b\", content, shadowRoot)\n};","export * from \"-!../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./ImageThumbnails.vue?vue&type=style&index=0&id=7087dd10&prod&lang=scss&scoped=true\"","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".next,.prev{color:#525252}.next{position:absolute!important;right:0!important}.dots{position:absolute;display:block;bottom:35%;left:50%;transform:translateY(-50%) translateX(-50%)}.dot2{width:7px;height:7px;border-radius:3px;background:#c6c6c6;display:inline-block;margin:0 3px;transition:opacity .4s ease-in-out,width .4s cubic-bezier(.175,.885,.32,1.275)}.dot2--active{background:#262626}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","'use strict';\n\nvar Cancel = require('./Cancel');\n\n/**\n * A `CancelToken` is an object that can be used to request cancellation of an operation.\n *\n * @class\n * @param {Function} executor The executor function.\n */\nfunction CancelToken(executor) {\n  if (typeof executor !== 'function') {\n    throw new TypeError('executor must be a function.');\n  }\n\n  var resolvePromise;\n  this.promise = new Promise(function promiseExecutor(resolve) {\n    resolvePromise = resolve;\n  });\n\n  var token = this;\n  executor(function cancel(message) {\n    if (token.reason) {\n      // Cancellation has already been requested\n      return;\n    }\n\n    token.reason = new Cancel(message);\n    resolvePromise(token.reason);\n  });\n}\n\n/**\n * Throws a `Cancel` if cancellation has been requested.\n */\nCancelToken.prototype.throwIfRequested = function throwIfRequested() {\n  if (this.reason) {\n    throw this.reason;\n  }\n};\n\n/**\n * Returns an object that contains a new `CancelToken` and a function that, when called,\n * cancels the `CancelToken`.\n */\nCancelToken.source = function source() {\n  var cancel;\n  var token = new CancelToken(function executor(c) {\n    cancel = c;\n  });\n  return {\n    token: token,\n    cancel: cancel\n  };\n};\n\nmodule.exports = CancelToken;\n","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PrintPositionsManagerHeader.vue?vue&type=style&index=0&id=88e224f4&prod&lang=scss&scoped=true\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"427793e1\", content, shadowRoot)\n};","'use strict';\nvar uncurryThisAccessor = require('../internals/function-uncurry-this-accessor');\nvar SetHelpers = require('../internals/set-helpers');\n\nmodule.exports = uncurryThisAccessor(SetHelpers.proto, 'size', 'get') || function (set) {\n  return set.size;\n};\n","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./ActionBar.vue?vue&type=style&index=0&id=b2ad8d80&prod&lang=scss\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"4da38a04\", content, shadowRoot)\n};","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".bx--btn.bx--btn--icon-only.bx--tooltip__trigger+.bx--assistive-text,.bx--btn.bx--btn--icon-only.bx--tooltip__trigger 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cubic-bezier(.2,0,.38,.9)}.bx--structured-list-content--nowrap{white-space:nowrap}.bx--structured-list-svg{display:inline-block;fill:transparent;transition:all .11s cubic-bezier(.2,0,.38,.9);vertical-align:middle}.bx--structured-list-input:checked+.bx--structured-list-row .bx--structured-list-svg,.bx--structured-list-input:checked+.bx--structured-list-td .bx--structured-list-svg{fill:#161616}.bx--structured-list.bx--skeleton .bx--structured-list-th:first-child{width:8%}.bx--structured-list.bx--skeleton .bx--structured-list-th:nth-child(3n+2){width:30%}.bx--structured-list.bx--skeleton .bx--structured-list-th:nth-child(3n+3){width:15%}.bx--structured-list.bx--skeleton span{position:relative;padding:0;border:none;background:#e5e5e5;box-shadow:none;pointer-events:none;display:block;width:75%;height:1rem}.bx--structured-list.bx--skeleton span:active,.bx--structured-list.bx--skeleton span:focus,.bx--structured-list.bx--skeleton 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2px);content:\\\"\\\"}.bx--accordion__heading:hover:before{background-color:#e5e5e5}.bx--accordion__heading:focus{outline:none}.bx--accordion__heading:focus:before{box-sizing:border-box;border:2px solid #161616!important}@media screen and (prefers-contrast){.bx--accordion__heading:focus:before{border-style:dotted}}.bx--accordion--lg .bx--accordion__heading,.bx--accordion--xl .bx--accordion__heading{min-height:3rem}.bx--accordion--sm .bx--accordion__heading{min-height:2rem;padding:.3125rem 0}.bx--accordion__heading[disabled]{color:#c6c6c6;cursor:not-allowed}.bx--accordion__heading[disabled] .bx--accordion__arrow{fill:#c6c6c6}.bx--accordion__heading[disabled]:hover:before{background-color:transparent}.bx--accordion__item--disabled,.bx--accordion__item--disabled+.bx--accordion__item{border-top:1px solid #f4f4f4}li.bx--accordion__item--disabled:last-of-type{border-bottom:1px solid #f4f4f4}.bx--accordion__arrow{outline:2px solid transparent;outline-offset:-2px;width:1rem;height:1rem;flex:0 0 1rem;margin:2px 1rem 0 0;fill:#161616;transform:rotate(-270deg);transition:all .11s cubic-bezier(.2,0,.38,.9)}.bx--accordion__title{font-size:.875rem;font-weight:400;line-height:1.42857;letter-spacing:.16px;z-index:1;width:100%;margin:0 0 0 1rem;text-align:left}.bx--accordion__content{display:none;padding-right:1rem;padding-left:1rem;transition:padding .11s cubic-bezier(.2,0,.38,.9)}@media(min-width:480px){.bx--accordion__content{padding-right:3rem}}@media(min-width:640px){.bx--accordion__content{padding-right:25%}}.bx--accordion__content>p{font-size:.875rem;font-weight:400;line-height:1.42857;letter-spacing:.16px}.bx--accordion--start .bx--accordion__heading{flex-direction:row}.bx--accordion--start .bx--accordion__arrow{margin:2px 0 0 1rem}.bx--accordion--start .bx--accordion__title{margin-right:1rem}.bx--accordion--start .bx--accordion__content{margin-left:2rem}.bx--accordion__item--collapsing .bx--accordion__content,.bx--accordion__item--expanding .bx--accordion__content{display:block}.bx--accordion__item--collapsing .bx--accordion__content{animation:collapse-accordion .11s cubic-bezier(.2,0,.38,.9)}.bx--accordion__item--expanding .bx--accordion__content{animation:expand-accordion .11s cubic-bezier(.2,0,.38,.9)}.bx--accordion__item--active{overflow:visible}.bx--accordion__item--active .bx--accordion__content{display:block;padding-top:.5rem;padding-bottom:1.5rem;transition:padding-top .11s cubic-bezier(0,0,.38,.9),padding-bottom .11s cubic-bezier(0,0,.38,.9)}.bx--accordion__item--active .bx--accordion__arrow{fill:#161616;transform:rotate(-90deg)}.bx--accordion.bx--skeleton .bx--accordion__button,.bx--accordion.bx--skeleton .bx--accordion__heading{cursor:default}.bx--accordion.bx--skeleton .bx--accordion__arrow{cursor:default;fill:#161616;pointer-events:none}.bx--accordion.bx--skeleton .bx--accordion__arrow:active,.bx--accordion.bx--skeleton .bx--accordion__arrow:focus,.bx--accordion.bx--skeleton .bx--accordion__arrow:hover{border:none;cursor:default;outline:none}.bx--accordion.bx--skeleton .bx--accordion__heading:hover:before{background-color:transparent}.bx--accordion--end.bx--skeleton .bx--accordion__arrow{margin-left:1rem}.bx--skeleton .bx--accordion__heading:focus .bx--accordion__arrow{border:none;cursor:default;outline:none}.bx--accordion__title.bx--skeleton__text{margin-bottom:0}@media (forced-colors:active),screen and (-ms-high-contrast:active){.bx--accordion__arrow,.bx--accordion__item--active .bx--accordion__arrow{fill:ButtonText}}.bx--text-area{font-size:.875rem;font-weight:400;line-height:1.42857;letter-spacing:.16px;outline:2px solid transparent;outline-offset:-2px;width:100%;min-width:10rem;height:100%;min-height:2.5rem;padding:.6875rem 1rem;border:none;border-bottom:1px solid #8d8d8d;background-color:#f4f4f4;color:#161616;resize:vertical;transition:background-color 70ms cubic-bezier(.2,0,.38,.9),outline 70ms 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transparent;background-color:#f4f4f4;color:#c6c6c6;cursor:not-allowed;outline:none}.bx--text-area:disabled::-moz-placeholder{color:#c6c6c6}.bx--text-area:disabled::placeholder{color:#c6c6c6}.bx--text-area.bx--text-area--light:disabled{background-color:#fff}.bx--text-area.bx--skeleton{position:relative;padding:0;border:none;background:#e5e5e5;box-shadow:none;pointer-events:none;height:6.25rem}.bx--text-area.bx--skeleton:active,.bx--text-area.bx--skeleton:focus,.bx--text-area.bx--skeleton:hover{border:none;cursor:default;outline:none}.bx--text-area.bx--skeleton:before{position:absolute;top:0;left:0;width:100%;height:100%;animation:skeleton 3s ease-in-out infinite;background:#c6c6c6;content:\\\"\\\";will-change:transform-origin,transform,opacity}@media(prefers-reduced-motion:reduce){.bx--text-area.bx--skeleton:before{animation:none}}.bx--text-area.bx--skeleton::-moz-placeholder{color:transparent}.bx--text-area.bx--skeleton::placeholder{color:transparent}.bx--text-area__label-wrapper{display:flex;width:100%;justify-content:space-between}.bold{font-weight:700}.p-12{padding:12px 0 0 12px}.mt-10{margin-top:10px}.ml-5{margin-left:5px}.w-100{width:100%}.h-100{height:100%}.font-12{font-size:12px}.font-14{font-size:14px}.font-20{font-size:20px}.d-flex{display:flex}.d-flex-justify-center{display:flex;align-items:center;justify-content:center}.d-flex-column-center,.d-flex-column-center-justify{display:flex;flex-direction:column;align-items:center}.d-flex-column-center-justify{justify-content:space-between}.tertiary-secondary{border-width:1px;border-style:solid;border-color:#24a148!important;background-color:transparent!important;color:#24a148!important}.tertiary-secondary:hover{background-color:#229242!important;color:#fff!important}.bx--btn:disabled{border-color:#c6c6c6!important;background:#c6c6c6!important;box-shadow:none!important;color:#8d8d8d!important;cursor:not-allowed!important}.link-primary{color:#24a148;cursor:pointer}.v-step{background:#fff!important}.v-step__header{color:#161616}.v-step__content{color:#525252}.v-step__counter{color:#6f6f6f}.v-step__buttons{justify-content:flex-end!important}.v-step__button{padding:7px 13px 7px 13px;font-size:14px}.v-step__button-skip{display:none}.body-gray-out :not(.vue-tour-target):not(.v-tour__popover){pointer-events:none!important;opacity:.5!important;position:relative;z-index:9998}.body-gray-out .vue-tour-target{z-index:9999!important;position:relative!important}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../node_modules/css-loader/dist/cjs.js??ref--7-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--7-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--7-oneOf-1-3!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./SmallDetailsLoader.vue?vue&type=style&index=0&id=2c7c02d0&prod&lang=css\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"235bbc8c\", content, shadowRoot)\n};","\"use strict\";\nObject.defineProperty(exports, \"__esModule\", { value: true });\nexports.objectProp = void 0;\nconst util_1 = require(\"../util\");\n/**\n * Allows any object. No further runtime validation is performed by default.\n *\n * Type parameter `T` can be used to restrict the type at compile time.\n *\n * @param validator - Optional function for further runtime validation; should return `undefined` if valid, or an error string if invalid.\n */\nconst objectProp = (validator) => (0, util_1.propOptionsGenerator)(Object, validator);\nexports.objectProp = objectProp;\n","export * from \"-!../../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./Header.vue?vue&type=style&index=0&id=d760b6d6&prod&lang=scss&scoped=true\"","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./CommercialRemarkNotification.vue?vue&type=style&index=0&id=11556acc&prod&lang=scss\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"20a32cc8\", content, shadowRoot)\n};","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./Header.vue?vue&type=style&index=1&id=7cea795e&prod&lang=scss\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"3dfd092a\", content, shadowRoot)\n};","import {\r\n  AREA_MARGINS,\r\n  BACKGROUND_IMAGE_H,\r\n  BACKGROUND_IMAGE_W,\r\n} from '@/web-components/import-wizard-v2/constants';\r\nimport { PrintArea } from '@/web-components/import-wizard-v2/typings/common';\r\nimport { ProductPrintArea } from '@midocean/webapps-shared-domain';\r\nimport { mm2px, px2mm } from './common';\r\n\r\nexport function translatePolygonToCenter(polygon: { x: number; y: number }[]) {\r\n  const centerX = BACKGROUND_IMAGE_W / 2;\r\n  const centerY = BACKGROUND_IMAGE_H / 2;\r\n\r\n  const centroidX =\r\n    polygon.reduce((sum, vertex) => sum + vertex.x, 0) / polygon.length;\r\n  const centroidY =\r\n    polygon.reduce((sum, vertex) => sum + vertex.y, 0) / polygon.length;\r\n\r\n  const translateX = centerX - centroidX;\r\n  const translateY = centerY - centroidY;\r\n\r\n  return polygon.map((vertex) => ({\r\n    x: vertex.x + translateX,\r\n    y: vertex.y + translateY,\r\n  }));\r\n}\r\n\r\nexport function scaleRectanglePrintPosition(\r\n  rectangle: {\r\n    x: number;\r\n    y: number;\r\n    width: number;\r\n    height: number;\r\n    rotation: number;\r\n  },\r\n  distanceOfMirrorPx: number\r\n) {\r\n  let width,\r\n    height,\r\n    x,\r\n    y,\r\n    scaleFactor = 0;\r\n  const rotation = rectangle.rotation;\r\n\r\n  const areaRatio = rectangle.width / rectangle.height;\r\n  const bgImageRation = BACKGROUND_IMAGE_W / BACKGROUND_IMAGE_H;\r\n\r\n  if (rectangle.rotation === 0) {\r\n    if (areaRatio > bgImageRation) {\r\n      width = BACKGROUND_IMAGE_W - 2 * AREA_MARGINS;\r\n      scaleFactor = width / rectangle.width;\r\n      height = rectangle.height * scaleFactor;\r\n    } else {\r\n      height = BACKGROUND_IMAGE_H - 2 * AREA_MARGINS;\r\n      scaleFactor = height / rectangle.height;\r\n      width = rectangle.width * scaleFactor;\r\n    }\r\n\r\n    x = (BACKGROUND_IMAGE_W - width) / 2;\r\n    y = (BACKGROUND_IMAGE_H - height) / 2;\r\n  } else {\r\n    const boundingBoxW =\r\n      rectangle.width * Math.abs(Math.cos(rectangle.rotation)) +\r\n      rectangle.height * Math.abs(Math.sin(rectangle.rotation));\r\n    const boundingBoxH =\r\n      rectangle.width * Math.abs(Math.sin(rectangle.rotation)) +\r\n      rectangle.height * Math.abs(Math.cos(rectangle.rotation));\r\n\r\n    scaleFactor = Math.min(\r\n      (BACKGROUND_IMAGE_W - 2 * AREA_MARGINS) / boundingBoxW,\r\n      (BACKGROUND_IMAGE_H - 2 * AREA_MARGINS) / boundingBoxH\r\n    );\r\n\r\n    if (scaleFactor < 1) {\r\n      width = rectangle.width;\r\n      height = rectangle.height;\r\n    } else {\r\n      width = scaleFactor * rectangle.width;\r\n      height = scaleFactor * rectangle.height;\r\n    }\r\n\r\n    x = (BACKGROUND_IMAGE_W - width) / 2;\r\n    y = (BACKGROUND_IMAGE_H - height) / 2;\r\n  }\r\n\r\n  if (distanceOfMirrorPx !== 0) {\r\n    y = y - (distanceOfMirrorPx / 2) * scaleFactor;\r\n  }\r\n\r\n  return { x, y, width, height, rotation, scaleFactor };\r\n}\r\n\r\nexport function scaleEllipsePrintPosition(ellipse: {\r\n  x: number;\r\n  y: number;\r\n  rx: number;\r\n  ry: number;\r\n  rotation: number;\r\n}) {\r\n  const rectangle = {\r\n    x: 0,\r\n    y: 0,\r\n    width: 2 * ellipse.rx,\r\n    height: 2 * ellipse.ry,\r\n    rotation: ellipse.rotation,\r\n  };\r\n\r\n  const scaledBoundingRect = scaleRectanglePrintPosition(rectangle, 0);\r\n\r\n  return {\r\n    x: BACKGROUND_IMAGE_W / 2,\r\n    y: BACKGROUND_IMAGE_H / 2,\r\n    rx: scaledBoundingRect.width / 2,\r\n    ry: scaledBoundingRect.height / 2,\r\n    rotation: scaledBoundingRect.rotation,\r\n    scaleFactor: scaledBoundingRect.scaleFactor,\r\n  };\r\n}\r\n\r\nexport function scalePolygonPrintPosition(polygon: {\r\n  points: { x: number; y: number }[];\r\n  rotation: number;\r\n}) {\r\n  const minX = Math.min(...polygon.points.map((x) => x.x));\r\n  const maxX = Math.max(...polygon.points.map((x) => x.x));\r\n  const minY = Math.min(...polygon.points.map((x) => x.y));\r\n  const maxY = Math.max(...polygon.points.map((x) => x.y));\r\n\r\n  const boundingRect = {\r\n    x: minX,\r\n    y: maxY,\r\n    width: maxX - minX,\r\n    height: maxY - minY,\r\n    rotation: 0,\r\n  };\r\n\r\n  const scaledBoundingRect = scaleRectanglePrintPosition(boundingRect, 0);\r\n  const scaleFactor = scaledBoundingRect.scaleFactor;\r\n\r\n  const scaledPoints = polygon.points.map((p) => ({\r\n    x: p.x * scaleFactor,\r\n    y: p.y * scaleFactor,\r\n  }));\r\n\r\n  const scaledMinX = Math.min(...scaledPoints.map((x) => x.x));\r\n  const scaledMinY = Math.min(...scaledPoints.map((x) => x.y));\r\n\r\n  const dx = scaledBoundingRect.x - scaledMinX;\r\n  const dy = scaledBoundingRect.y - scaledMinY;\r\n\r\n  const points = scaledPoints.map((v) => ({ x: v.x + dx, y: v.y + dy }));\r\n\r\n  return { points, scaleFactor };\r\n}\r\n\r\nexport function getShapePositionInAreainPt(\r\n  shape: { x: number; y: number; height: number; width: number },\r\n  area: PrintArea\r\n) {\r\n  if (area.kind === 'Rectangle') {\r\n    const xInArea = shape.x - area.x;\r\n    const yInArea = shape.y - area.y;\r\n\r\n    const xInAreaPt = (100 * xInArea) / area.width;\r\n    const yInAreaPt = (100 * yInArea) / area.height;\r\n    const widthInAreaPt = (100 * shape.width) / area.width;\r\n    const heightInAreaPt = (100 * shape.height) / area.height;\r\n\r\n    return {\r\n      x: xInAreaPt,\r\n      y: yInAreaPt,\r\n      width: widthInAreaPt,\r\n      height: heightInAreaPt,\r\n    };\r\n  }\r\n\r\n  if (area.kind === 'Ellipse') {\r\n    const leftX = area.x - area.rx;\r\n    const leftY = area.y - area.ry;\r\n\r\n    const xInArea = shape.x - leftX;\r\n    const yInArea = shape.y - leftY;\r\n\r\n    const areaW = area.rx * 2;\r\n    const areaH = area.ry * 2;\r\n\r\n    const xInAreaPt = (100 * xInArea) / areaW;\r\n    const yInAreaPt = (100 * yInArea) / areaH;\r\n    const widthInAreaPt = (100 * shape.width) / areaW;\r\n    const heightInAreaPt = (100 * shape.height) / areaH;\r\n\r\n    return {\r\n      x: xInAreaPt,\r\n      y: yInAreaPt,\r\n      width: widthInAreaPt,\r\n      height: heightInAreaPt,\r\n    };\r\n  }\r\n\r\n  if (area.kind === 'Polygon') {\r\n    const minX = Math.min(...area.points.map((x) => x.x));\r\n    const maxX = Math.max(...area.points.map((x) => x.x));\r\n    const minY = Math.min(...area.points.map((x) => x.y));\r\n    const maxY = Math.max(...area.points.map((x) => x.y));\r\n\r\n    const areaW = maxX - minX;\r\n    const areaH = maxY - minY;\r\n\r\n    const xInArea = shape.x - minX;\r\n    const yInArea = shape.y - maxY;\r\n\r\n    const xInAreaPt = (100 * xInArea) / areaW;\r\n    const yInAreaPt = (100 * yInArea) / areaH;\r\n    const widthInAreaPt = (100 * shape.width) / areaW;\r\n    const heightInAreaPt = (100 * shape.height) / areaH;\r\n\r\n    return {\r\n      x: xInAreaPt,\r\n      y: yInAreaPt,\r\n      width: widthInAreaPt,\r\n      height: heightInAreaPt,\r\n      areaW,\r\n      areaH,\r\n      xInArea,\r\n      yInArea\r\n    };\r\n  }\r\n\r\n  return undefined;\r\n}\r\n\r\nexport function getShapePositionOnProductInMM(\r\n  positionInPt: { x: number; y: number; height: number; width: number },\r\n  productArea: ProductPrintArea,\r\n  aspectRatio: number\r\n) {\r\n  let xInMM = 0;\r\n  let yInMM = 0;\r\n  let widthOnProductMM = 0;\r\n  let heightOnProductMM = 0;\r\n\r\n  if (positionInPt.width > positionInPt.height) {\r\n    xInMM = productArea.widthMm * (positionInPt.x / 100);\r\n    yInMM = productArea.heightMm * (positionInPt.y / 100);\r\n    widthOnProductMM = productArea.widthMm * (positionInPt.width / 100);\r\n    heightOnProductMM = widthOnProductMM / aspectRatio;\r\n  } else {\r\n    xInMM = productArea.widthMm * (positionInPt.x / 100);\r\n    yInMM = productArea.heightMm * (positionInPt.y / 100);\r\n    heightOnProductMM = productArea.heightMm * (positionInPt.height / 100);\r\n    widthOnProductMM = heightOnProductMM * aspectRatio;\r\n  }\r\n\r\n  if (\r\n    productArea.shapeType === 'Rectangle' ||\r\n    productArea.shapeType === 'Ellipse'\r\n  ) {\r\n    const leftPoint = productArea.productPrintAreaPoints.find(\r\n      (x) => x.sequenceNo === 1\r\n    );\r\n\r\n    if (leftPoint) {\r\n      const xOnProductMM = leftPoint.distanceFromLeftEdge + xInMM;\r\n      const yOnProductMM = leftPoint.distanceFromTop + yInMM;\r\n\r\n      return {\r\n        xOnProductMM,\r\n        yOnProductMM,\r\n        widthOnProductMM,\r\n        heightOnProductMM,\r\n      };\r\n    }\r\n  }\r\n\r\n  if (productArea.shapeType === 'Polygon') {\r\n    const minX = Math.min(\r\n      ...productArea.productPrintAreaPoints.map((x) => x.distanceFromLeftEdge)\r\n    );\r\n    const maxY = Math.max(\r\n      ...productArea.productPrintAreaPoints.map((x) => x.distanceFromTop)\r\n    );\r\n\r\n    const maxX = Math.max(\r\n      ...productArea.productPrintAreaPoints.map((x) => x.distanceFromLeftEdge)\r\n    );\r\n    const minY = Math.min(\r\n      ...productArea.productPrintAreaPoints.map((x) => x.distanceFromTop)\r\n    );\r\n\r\n    const areaW = maxX - minX;\r\n    const areaH = maxY - minY;\r\n\r\n    const xInMM = areaW * (positionInPt.x / 100);\r\n    const yInMM = areaH * (positionInPt.y / 100);\r\n\r\n    const xOnProductMM = minX + xInMM;\r\n    const yOnProductMM = maxY + yInMM;\r\n\r\n    const widthOnProductMM = areaW * (positionInPt.width / 100);\r\n    const heightOnProductMM = areaH * (positionInPt.height / 100);\r\n\r\n    return { xOnProductMM, yOnProductMM, widthOnProductMM, heightOnProductMM };\r\n  }\r\n\r\n  return undefined;\r\n}\r\n\r\nexport function getScaledProductImageDPI(\r\n  originalImageWidthPx: number,\r\n  originalImageHeightPx: number,\r\n  originalDPI: number,\r\n  scaledValue: number\r\n) {\r\n  if (originalImageHeightPx > originalImageWidthPx) {\r\n    return originalDPI / (originalImageHeightPx / scaledValue);\r\n  }\r\n  return originalDPI / (originalImageWidthPx / scaledValue);\r\n}\r\n","'use strict';\nvar call = require('../internals/function-call');\nvar hasOwn = require('../internals/has-own-property');\nvar isPrototypeOf = require('../internals/object-is-prototype-of');\nvar regExpFlags = require('../internals/regexp-flags');\n\nvar RegExpPrototype = RegExp.prototype;\n\nmodule.exports = function (R) {\n  var flags = R.flags;\n  return flags === undefined && !('flags' in RegExpPrototype) && !hasOwn(R, 'flags') && isPrototypeOf(RegExpPrototype, R)\n    ? call(regExpFlags, R) : flags;\n};\n","'use strict';\nvar uncurryThis = require('../internals/function-uncurry-this');\n\nvar id = 0;\nvar postfix = Math.random();\nvar toString = uncurryThis(1.0.toString);\n\nmodule.exports = function (key) {\n  return 'Symbol(' + (key === undefined ? '' : key) + ')_' + toString(++id + postfix, 36);\n};\n","'use strict';\nvar DESCRIPTORS = require('../internals/descriptors');\nvar definePropertyModule = require('../internals/object-define-property');\nvar createPropertyDescriptor = require('../internals/create-property-descriptor');\n\nmodule.exports = DESCRIPTORS ? function (object, key, value) {\n  return definePropertyModule.f(object, key, createPropertyDescriptor(1, value));\n} : function (object, key, value) {\n  object[key] = value;\n  return object;\n};\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".delete-position-modal .bx--modal-header__heading{font-size:20px}.delete-position-modal .bx--modal-content{font-size:14px;padding:16px}.delete-position-modal .bx--btn{font-size:14px;min-height:48px}.delete-position-modal .bx--modal-footer{height:48px}.delete-position-modal .bx--modal-close{width:48px;height:48px}.delete-position-modal .bx--modal-close__icon{height:20px;width:20px}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('modal',{attrs:{\"name\":\"small-details-one-logo-modal\",\"width\":\"35%\",\"height\":\"auto\",\"adaptive\":true,\"click-to-close\":false}},[_c('cv-grid',{staticClass:\"small-details\",attrs:{\"full-width\":\"\"}},[_c('div',[_c('cv-row',[_c('cv-column',{attrs:{\"sm\":4,\"md\":8,\"lg\":16,\"xlg\":16,\"max\":16}},[_c('div',{staticClass:\"cv-grid-story__preview-col\"},[_c('cv-row',[_c('cv-column',{attrs:{\"sm\":14,\"md\":14,\"lg\":14,\"xlg\":14,\"max\":14}},[_c('div',{staticClass:\"cv-grid-story__preview-col\"},[(_vm.status === 'Good')?_c('div',{staticClass:\"row\"},[_c('span',{staticClass:\"column fs-20 p-15 productive-heading-03-text-01-2 header\"},[_vm._v(_vm._s(_vm.$t('small-details.header.good'))+\" \")]),_c('checkmark-filled-16',{staticClass:\"column\",style:({ color: 'green', marginTop: '21px' })})],1):_vm._e(),(_vm.status === 'Average')?_c('div',{staticClass:\"row\"},[_c('span',{staticClass:\"column fs-20 p-15 productive-heading-03-text-01-2 header\"},[_vm._v(_vm._s(_vm.$t('small-details.header.average'))+\" \")]),_c('warning-filled-16',{staticClass:\"column\",style:({ color: 'orange', marginTop: '21px' })})],1):_vm._e(),(_vm.status === 'Bad')?_c('div',{staticClass:\"row\"},[_c('span',{staticClass:\"column fs-20 p-15 productive-heading-03-text-01-2 header\"},[_vm._v(_vm._s(_vm.$t('small-details.header.bad'))+\" \")]),_c('close-filled-16',{staticClass:\"column\",style:({ color: 'red', marginTop: '21px' })})],1):_vm._e(),(_vm.status === 'NoCheck')?_c('div',{staticClass:\"row\"},[_c('span',{staticClass:\"column fs-20 p-15 productive-heading-03-text-01-2 header\"},[_vm._v(_vm._s(_vm.$t('small-details.header.no-check'))+\" \")]),_c('information-filled-16',{staticClass:\"column\",style:({ color: '#0f62fe', marginTop: '19px' })})],1):_vm._e()])]),_c('cv-column',{attrs:{\"sm\":1,\"md\":2,\"lg\":2,\"xlg\":2,\"max\":2}},[_c('div',{staticClass:\"cv-grid-story__preview-col p-15\"},[_c('close-16',{staticClass:\"close-icon mt-5\",on:{\"click\":function($event){return _vm.$emit('action:back-to-library')}}})],1)])],1)],1)])],1),_c('cv-row',[_c('cv-column',{attrs:{\"sm\":12,\"md\":12,\"lg\":12,\"xlg\":12,\"max\":12}},[_c('div',{staticClass:\"cv-grid-story__preview-col\"},[(_vm.status === 'Good')?_c('span',{staticClass:\"label body-long-01-text-01\"},[_vm._v(_vm._s(_vm.$t('small-details.description.good')))]):_vm._e(),(_vm.status === 'Average')?_c('span',{staticClass:\"label body-long-01-text-01\"},[_vm._v(_vm._s(_vm.$t('small-details.description.average')))]):_vm._e(),(_vm.status === 'Bad')?_c('span',{staticClass:\"label body-long-01-text-01\"},[_vm._v(_vm._s(_vm.$t('small-details.description.bad')))]):_vm._e(),(_vm.status === 'NoCheck')?_c('span',{staticClass:\"label body-long-01-text-01\"},[_vm._v(_vm._s(_vm.$t('small-details.description.no-check-desc')))]):_vm._e()])])],1),(_vm.status === 'NoCheck')?_c('cv-row',{staticClass:\"mb-30\"},[_c('cv-column',{attrs:{\"sm\":2,\"md\":4,\"lg\":8,\"xlg\":8,\"max\":8}},[_c('div',{staticClass:\"cv-grid-story__preview-col ml-15 mt-15 bc-gray\"},[_c('div',{staticClass:\"img-container\"},[_c('img',{staticClass:\"png-image\",attrs:{\"src\":_vm.imageUrl}})])])]),_c('cv-column',{attrs:{\"sm\":2,\"md\":4,\"lg\":8,\"xlg\":8,\"max\":8}},[_c('div',{staticClass:\"cv-grid-story__preview-col mt-15\"},[_c('span',{staticClass:\"productive-heading-02-text-01 no-check-label\"},[_vm._v(_vm._s(_vm.$t('small-details.description.no-check-label'))+\" \")]),_c('div',{staticClass:\"cv-grid-story__preview-col mt-2\"},[_c('span',{staticClass:\"productive-heading-02-text-01 file-name-label\"},[_vm._v(_vm._s(_vm.fileName)+\" \")])]),_c('div',{staticClass:\"cv-grid-story__preview-col mt-2\"},[_c('div',{staticClass:\"progress-container-3\"},[_c('div',{staticClass:\"progress-line\"})])]),_c('div',{staticClass:\"cv-grid-story__preview-col bottom-position\"},[_c('div',{staticClass:\"row full-line\"}),_c('div',{staticClass:\"row mt-10\"},[_c('div',{staticClass:\"column gray-circle\"}),_c('div',{staticClass:\"column ml-5 fs-14 mt-2 font-color\"},[_vm._v(\" \"+_vm._s(_vm.$t('small-details.description.positive-loss'))+\" \")])]),_c('div',{staticClass:\"row\"},[_c('div',{staticClass:\"column gray-circle\"}),_c('div',{staticClass:\"column ml-5 fs-14 mt-2 font-color\"},[_vm._v(\" \"+_vm._s(_vm.$t('small-details.description.negative-loss'))+\" \")])])])])])],1):_vm._e(),(_vm.status === 'Bad' || _vm.status === 'Average')?_c('cv-row',[_c('cv-column',{attrs:{\"sm\":8,\"md\":8,\"lg\":12,\"xlg\":12,\"max\":12}},[_c('div',{staticClass:\"cv-grid-story__preview-col flex-column\"},[_c('div',{staticClass:\"mt-10 ml-15\"},[_c('div',{staticClass:\"column circle-positive-loss\"}),_c('div',{staticClass:\"column ml-5 fs-14 mt-2\"},[_vm._v(\" \"+_vm._s(_vm.$t('small-details.description.positive-loss'))+\" \")])]),_c('div',{staticClass:\"ml-15\"},[_c('div',{staticClass:\"column circle-negative-loss\"}),_c('div',{staticClass:\"column ml-5 fs-14 mt-2\"},[_vm._v(\" \"+_vm._s(_vm.$t('small-details.description.negative-loss'))+\" \")])])])])],1):_vm._e()],1),_c('div',[(_vm.status !== 'NoCheck')?_c('cv-row',[_c('cv-column',{attrs:{\"sm\":4,\"md\":8,\"lg\":16,\"xlg\":16,\"max\":16}},[_c('div',{staticClass:\"cv-grid-story__preview-col center mt-30 mb-30\"},[_c('div',{staticClass:\"img-magnifier-container-one-logo\"},[_c('img',{staticClass:\"image-one-logo\",attrs:{\"id\":\"myimage\",\"src\":_vm.imageUrl}})])])])],1):_vm._e(),(_vm.smallDetailsPayload.status !== 'NoCheck')?_c('cv-row',[_c('cv-column',{attrs:{\"sm\":4,\"md\":8,\"lg\":16,\"xlg\":16,\"max\":16}},[_c('div',{staticClass:\"zoom-options\"},[_c('zoom-area-24',{on:{\"click\":_vm.enableZoom}}),(_vm.isZoomEnabled)?_c('div',{staticClass:\"zoom-in-out\"},[_c('add-alt-24',{on:{\"click\":function($event){_vm.zoomSize = _vm.zoomSize + 1}}}),_c('span',[_vm._v(_vm._s(_vm.zoomSize - 1 + '00%'))]),_c('subtract-alt-24',{on:{\"click\":function($event){_vm.zoomSize = _vm.zoomSize > 2 ? _vm.zoomSize - 1 : _vm.zoomSize}}})],1):_vm._e()],1)])],1):_vm._e()],1),_c('div',[(_vm.status !== 'NoCheck')?_c('div',{staticClass:\"progress-container cds--no-gutter\"},[_c('cv-row',[_c('cv-column',{attrs:{\"sm\":4,\"md\":8,\"lg\":16,\"xlg\":16,\"max\":16}},[_c('div',{staticClass:\"cv-grid-story__preview-col cds--no-gutter\"},[_c('div',{staticClass:\"row status-container\"},[_c('span',{staticClass:\"status mt-15 body-short-02-text-01\",class:{ bold: _vm.status === 'Bad' }},[_vm._v(_vm._s(_vm.$t('small-details.status.bad')))]),_c('span',{staticClass:\"status mt-15 body-short-02-text-01 center\",class:{ bold: _vm.status === 'Average' }},[_vm._v(_vm._s(_vm.$t('small-details.status.average')))]),_c('span',{staticClass:\"status mt-15 body-short-02-text-01\",class:{ bold: _vm.status === 'Good' }},[_vm._v(_vm._s(_vm.$t('small-details.status.good')))])])])])],1),_c('cv-row',[_c('cv-column',{attrs:{\"sm\":4,\"md\":8,\"lg\":16,\"xlg\":16,\"max\":16}},[_c('div',{staticClass:\"cv-grid-story__preview-col ml-20 mr-20 cds--no-gutter\"},[_c('div',{staticStyle:{\"position\":\"relative\"}},[_c('div',{staticClass:\"progress-shadow\"}),_c('div',{staticClass:\"progress\",style:({ '--percent': _vm.data.calculatedQuality })})]),_c('div',{staticClass:\"percentage\",style:({ '--percent': _vm.data.calculatedQuality }),attrs:{\"id\":\"small-details-percentage\"}},[_vm._v(\" \"+_vm._s(_vm.data.calculatedQuality)+\"% \")])])])],1)],1):_vm._e(),_c('cv-row',[_c('cv-column',{attrs:{\"sm\":4,\"md\":8,\"lg\":16,\"xlg\":16,\"max\":16}},[_c('div',{staticClass:\"cv-grid-story__preview-col\"},[_c('cv-button-set',[_c('cv-button',{attrs:{\"id\":\"small-details-check-proceed\",\"kind\":\"secondary\"},on:{\"click\":_vm.onProceed}},[_vm._v(_vm._s(_vm.proceedButtonLabel))]),_c('cv-button',{attrs:{\"id\":\"small-details-check-replace-logo\",\"kind\":\"primary\"},on:{\"click\":_vm.onUpload}},[_vm._v(_vm._s(_vm.uploadButtonLabel))])],1)],1)])],1)],1)])],1)\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","/**\n * Copyright IBM Corp. 2019, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nimport { c as createSVGComponent } from '../utils-9450cd75.js';\nimport '@carbon/icon-helpers';\nimport 'vue';\n\nconst CloseFilled16 = createSVGComponent('CloseFilled16', {\n  \"xmlns\": \"http://www.w3.org/2000/svg\",\n  \"viewBox\": \"0 0 16 16\",\n  \"fill\": \"currentColor\",\n  \"width\": 16,\n  \"height\": 16\n}, [{\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M8,1C4.1,1,1,4.1,1,8s3.1,7,7,7s7-3.1,7-7S11.9,1,8,1z M10.7,11.5L8,8.8l-2.7,2.7l-0.8-0.8L7.2,8L4.5,5.3l0.8-0.8L8,7.2\\tl2.7-2.7l0.8,0.8L8.8,8l2.7,2.7L10.7,11.5z\"\n  }\n}]);\n\nexport { CloseFilled16 as default };\n","/**\n * Copyright IBM Corp. 2019, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nimport { c as createSVGComponent } from '../utils-9450cd75.js';\nimport '@carbon/icon-helpers';\nimport 'vue';\n\nconst WarningFilled16 = createSVGComponent('WarningFilled16', {\n  \"xmlns\": \"http://www.w3.org/2000/svg\",\n  \"viewBox\": \"0 0 16 16\",\n  \"fill\": \"currentColor\",\n  \"width\": 16,\n  \"height\": 16\n}, [{\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M8,1C4.2,1,1,4.2,1,8s3.2,7,7,7s7-3.1,7-7S11.9,1,8,1z M7.5,4h1v5h-1C7.5,9,7.5,4,7.5,4z M8,12.2\\tc-0.4,0-0.8-0.4-0.8-0.8s0.3-0.8,0.8-0.8c0.4,0,0.8,0.4,0.8,0.8S8.4,12.2,8,12.2z\"\n  }\n}, {\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M7.5,4h1v5h-1C7.5,9,7.5,4,7.5,4z M8,12.2c-0.4,0-0.8-0.4-0.8-0.8s0.3-0.8,0.8-0.8\\tc0.4,0,0.8,0.4,0.8,0.8S8.4,12.2,8,12.2z\",\n    \"data-icon-path\": \"inner-path\",\n    \"opacity\": \"0\"\n  }\n}]);\n\nexport { WarningFilled16 as default };\n","/**\n * Copyright IBM Corp. 2019, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nimport { c as createSVGComponent } from '../utils-9450cd75.js';\nimport '@carbon/icon-helpers';\nimport 'vue';\n\nconst InformationFilled16 = createSVGComponent('InformationFilled16', {\n  \"xmlns\": \"http://www.w3.org/2000/svg\",\n  \"viewBox\": \"0 0 32 32\",\n  \"fill\": \"currentColor\",\n  \"width\": 16,\n  \"height\": 16\n}, [{\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"fill\": \"none\",\n    \"d\": \"M16,8a1.5,1.5,0,1,1-1.5,1.5A1.5,1.5,0,0,1,16,8Zm4,13.875H17.125v-8H13v2.25h1.875v5.75H12v2.25h8Z\",\n    \"data-icon-path\": \"inner-path\"\n  }\n}, {\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M16,2A14,14,0,1,0,30,16,14,14,0,0,0,16,2Zm0,6a1.5,1.5,0,1,1-1.5,1.5A1.5,1.5,0,0,1,16,8Zm4,16.125H12v-2.25h2.875v-5.75H13v-2.25h4.125v8H20Z\"\n  }\n}]);\n\nexport { InformationFilled16 as default };\n","export function magnify(imgID: string, zoom: number, elementId: string) {\r\n  let w, h, bw;\r\n  const subtarget = document.querySelector(elementId);\r\n  const img =\r\n    subtarget && subtarget.shadowRoot\r\n      ? (subtarget.shadowRoot.getElementById(imgID) as HTMLImageElement)\r\n      : (document.getElementById(imgID) as HTMLImageElement);\r\n  /*create magnifier glass:*/\r\n  const glass = document.createElement('DIV');\r\n  glass.setAttribute('class', 'img-magnifier-glass');\r\n  glass.setAttribute('id', 'magnifier-glass');\r\n\r\n  /*insert magnifier glass:*/\r\n  if (img.parentElement) {\r\n    img.parentElement.insertBefore(glass, img);\r\n  }\r\n\r\n  /*execute a function when someone moves the magnifier glass over the image:*/\r\n  glass.addEventListener('mousemove', moveMagnifier);\r\n  img.addEventListener('mousemove', moveMagnifier);\r\n\r\n  function moveMagnifier(e: MouseEvent) {\r\n    let x, y;\r\n    /*prevent any other actions that may occur when moving over the image*/\r\n    e.preventDefault();\r\n    /*set background properties for the magnifier glass:*/\r\n    glass.style.backgroundImage = \"url('\" + img.src + \"')\";\r\n    glass.style.backgroundRepeat = 'no-repeat';\r\n    glass.style.backgroundSize =\r\n      img.width * zoom + 'px ' + img.height * zoom + 'px';\r\n    bw = 3;\r\n    w = glass.offsetWidth / 2;\r\n    h = glass.offsetHeight / 2;\r\n\r\n    /*get the cursor's x and y positions:*/\r\n    const pos = getCursorPos(e);\r\n    x = pos.x;\r\n    y = pos.y;\r\n    /*prevent the magnifier glass from being positioned outside the image:*/\r\n    if (x > img.width - w / zoom) {\r\n      x = img.width - w / zoom;\r\n    }\r\n    if (x < w / zoom) {\r\n      x = w / zoom;\r\n    }\r\n    if (y > img.height - h / zoom) {\r\n      y = img.height - h / zoom;\r\n    }\r\n    if (y < h / zoom) {\r\n      y = h / zoom;\r\n    }\r\n    /*set the position of the magnifier glass:*/\r\n    glass.style.left = x - w + 10 + 'px';\r\n    glass.style.top = y - h + 10 + 'px';\r\n    /*display what the magnifier glass \"sees\":*/\r\n    glass.style.backgroundPosition =\r\n      '-' + (x * zoom - w + bw) + 'px -' + (y * zoom - h + bw) + 'px';\r\n  }\r\n  function getCursorPos(e: MouseEvent) {\r\n    let x = 0,\r\n      y = 0;\r\n    e = e || window.event;\r\n    /*get the x and y positions of the image:*/\r\n    const a = img.getBoundingClientRect();\r\n    /*calculate the cursor's x and y coordinates, relative to the image:*/\r\n\r\n    x = e.pageX - a.left;\r\n    y = e.pageY - a.top;\r\n    /*consider any page scrolling:*/\r\n    x = x - window.pageXOffset;\r\n    y = y - window.pageYOffset;\r\n    return { x: x, y: y };\r\n  }\r\n}\r\n\r\nexport function removeMagnify(elementId: string): void {\r\n  const subtarget = document.querySelector(elementId);\r\n  const element =\r\n    subtarget && subtarget.shadowRoot\r\n      ? (subtarget.shadowRoot.getElementById(\r\n          'magnifier-glass'\r\n        ) as HTMLDivElement)\r\n      : (document.getElementById('magnifier-glass') as HTMLDivElement);\r\n\r\n  if (element.parentNode) {\r\n    element.parentNode.removeChild(element);\r\n  }\r\n}\r\n","/**\n * Copyright IBM Corp. 2019, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nimport { c as createSVGComponent } from '../utils-9450cd75.js';\nimport '@carbon/icon-helpers';\nimport 'vue';\n\nconst ZoomArea24 = createSVGComponent('ZoomArea24', {\n  \"xmlns\": \"http://www.w3.org/2000/svg\",\n  \"viewBox\": \"0 0 32 32\",\n  \"fill\": \"currentColor\",\n  \"width\": 24,\n  \"height\": 24\n}, [{\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M31 29.5859l-4.6885-4.6884a8.028 8.028 0 10-1.414 1.414L29.5859 31zM20 26a6 6 0 116-6A6.0066 6.0066 0 0120 26zM8 26H4a2.0021 2.0021 0 01-2-2V20H4v4H8zM2 12H4V16H2zM26 8H24V4H20V2h4a2.0021 2.0021 0 012 2zM12 2H16V4H12zM4 8H2V4A2.0021 2.0021 0 014 2H8V4H4z\"\n  }\n}]);\n\nexport { ZoomArea24 as default };\n","/**\n * Copyright IBM Corp. 2019, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nimport { c as createSVGComponent } from '../utils-9450cd75.js';\nimport '@carbon/icon-helpers';\nimport 'vue';\n\nconst AddAlt24 = createSVGComponent('AddAlt24', {\n  \"xmlns\": \"http://www.w3.org/2000/svg\",\n  \"viewBox\": \"0 0 32 32\",\n  \"fill\": \"currentColor\",\n  \"width\": 24,\n  \"height\": 24\n}, [{\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M16,4c6.6,0,12,5.4,12,12s-5.4,12-12,12S4,22.6,4,16S9.4,4,16,4 M16,2C8.3,2,2,8.3,2,16s6.3,14,14,14s14-6.3,14-14\\tS23.7,2,16,2z\"\n  }\n}, {\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M24 15L17 15 17 8 15 8 15 15 8 15 8 17 15 17 15 24 17 24 17 17 24 17z\"\n  }\n}]);\n\nexport { AddAlt24 as default };\n","/**\n * Copyright IBM Corp. 2019, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nimport { c as createSVGComponent } from '../utils-9450cd75.js';\nimport '@carbon/icon-helpers';\nimport 'vue';\n\nconst SubtractAlt24 = createSVGComponent('SubtractAlt24', {\n  \"xmlns\": \"http://www.w3.org/2000/svg\",\n  \"viewBox\": \"0 0 32 32\",\n  \"fill\": \"currentColor\",\n  \"width\": 24,\n  \"height\": 24\n}, [{\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M16,4c6.6,0,12,5.4,12,12s-5.4,12-12,12S4,22.6,4,16S9.4,4,16,4 M16,2C8.3,2,2,8.3,2,16s6.3,14,14,14s14-6.3,14-14\\tS23.7,2,16,2z\"\n  }\n}, {\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M8 15H24V17H8z\"\n  }\n}]);\n\nexport { SubtractAlt24 as default };\n","\r\nimport Vue, { PropType } from 'vue';\r\nimport { CvGrid, CvRow, CvColumn, CvButton, CvButtonSet } from '@carbon/vue';\r\nimport { SmallDetailsResult, SmallDetailsPayload } from '@/typings';\r\nimport Close16 from '@carbon/icons-vue/es/close/16';\r\nimport CheckmarkFilled16 from '@carbon/icons-vue/es/checkmark--filled/16';\r\nimport CloseFilled16 from '@carbon/icons-vue/es/close--filled/16';\r\nimport WarningFilled16 from '@carbon/icons-vue/es/warning--filled/16';\r\nimport InformationFilled16 from '@carbon/icons-vue/es/information--filled/16';\r\nimport { base64StringToBlob } from 'blob-util';\r\nimport { getSmallDetailsStatus } from '../index';\r\nimport {\r\n  magnify,\r\n  removeMagnify,\r\n} from '@/components/SmallDetails/utils/magnify';\r\nimport ZoomArea24 from '@carbon/icons-vue/es/zoom--area/24';\r\nimport AddAlt24 from '@carbon/icons-vue/es/add--alt/24';\r\nimport SubtractAlt24 from '@carbon/icons-vue/es/subtract--alt/24';\r\nimport { SmallDetailsStatus } from '@midocean/webapps-shared-domain';\r\n\r\nexport default Vue.extend({\r\n  name: 'SmallDetailsOneLogo',\r\n  components: {\r\n    CvGrid,\r\n    CvColumn,\r\n    CvRow,\r\n    Close16,\r\n    CheckmarkFilled16,\r\n    WarningFilled16,\r\n    InformationFilled16,\r\n    CloseFilled16,\r\n    CvButton,\r\n    CvButtonSet,\r\n    ZoomArea24,\r\n    AddAlt24,\r\n    SubtractAlt24,\r\n  },\r\n  props: {\r\n    isOpen: {\r\n      type: Boolean,\r\n      required: true,\r\n      default: false,\r\n    },\r\n    data: {\r\n      type: Object as PropType<SmallDetailsResult>,\r\n      required: true,\r\n    },\r\n    pngFile: {\r\n      type: Blob,\r\n      default: undefined,\r\n      required: false,\r\n    },\r\n    fileName: {\r\n      type: String,\r\n      default: '',\r\n      required: false,\r\n    },\r\n  },\r\n  data() {\r\n    return {\r\n      activeIdx: 1,\r\n      isZoomEnabled: false,\r\n      zoomSize: 2,\r\n    };\r\n  },\r\n\r\n  computed: {\r\n    status(): SmallDetailsStatus {\r\n      return getSmallDetailsStatus(\r\n        this.data.positiveDetailsLoss,\r\n        this.data.negativeDetailsLoss,\r\n        this.data.calculatedQuality\r\n      );\r\n    },\r\n    uploadButtonLabel(): string {\r\n      if (this.status === 'Bad') {\r\n        return this.$t('section.actions.upload-better-logo').toString();\r\n      }\r\n      if (this.status === 'Average') {\r\n        return this.$t('section.actions.upload-a-good-logo').toString();\r\n      }\r\n\r\n      if (this.status === 'NoCheck') {\r\n        return this.$t('section.actions.proceed-without-check').toString();\r\n      }\r\n      return this.$t('section.actions.import').toString();\r\n    },\r\n    proceedButtonLabel(): string {\r\n      if (this.status === 'Bad') {\r\n        return this.$t('section.actions.proceed-with-this-bad-logo').toString();\r\n      }\r\n      if (this.status === 'Average') {\r\n        return this.$t('section.actions.proceed-with-this-logo').toString();\r\n      }\r\n      if (this.status === 'NoCheck') {\r\n        return this.$t('section.actions.upload-new-logo').toString();\r\n      }\r\n      return this.$t('section.actions.back-to-library').toString();\r\n    },\r\n    imageUrl(): string {\r\n      return this.status !== 'NoCheck'\r\n        ? URL.createObjectURL(\r\n            base64StringToBlob(this.data.pngFile, 'image/png')\r\n          )\r\n        : URL.createObjectURL(this.pngFile as Blob);\r\n    },\r\n    smallDetailsPayload(): SmallDetailsPayload {\r\n      return {\r\n        negativeDetailsLoss: this.data.negativeDetailsLoss,\r\n        positiveDetailsLoss: this.data.positiveDetailsLoss,\r\n        pngFileBlob: this.data.pngFile\r\n          ? base64StringToBlob(this.data.pngFile, 'image/png')\r\n          : new Blob(),\r\n        status: this.status,\r\n        calculatedQuality: this.data.calculatedQuality,\r\n        pngFile: this.data.pngFile ? this.data.pngFile : '',\r\n        isCheckValid: true,\r\n      } as SmallDetailsPayload;\r\n    },\r\n  },\r\n\r\n  watch: {\r\n    isOpen(newValue) {\r\n      if (newValue) {\r\n        this.$modal.show('small-details-one-logo-modal');\r\n      } else {\r\n        this.$modal.hide('small-details-one-logo-modal');\r\n      }\r\n    },\r\n    activeIdx() {\r\n      // reset magnify glass\r\n      const subtarget = document.querySelector('w2p-import-wizard-wrapper');\r\n      let element = undefined;\r\n      let tagName = 'w2p-import-wizard-wrapper';\r\n\r\n      if (subtarget && subtarget.shadowRoot) {\r\n        element = subtarget.shadowRoot.getElementById('magnifier-glass');\r\n      } else {\r\n        const oldVersionTarget = document.querySelector('w2p-import-wizard');\r\n        tagName = 'w2p-import-wizard';\r\n        element =\r\n          oldVersionTarget && oldVersionTarget.shadowRoot\r\n            ? oldVersionTarget.shadowRoot.getElementById('magnifier-glass')\r\n            : document.getElementById('magnifier-glass');\r\n      }\r\n\r\n      // TODO: in 2.18 version revert to old changes\r\n      // const element =\r\n      //   subtarget && subtarget.shadowRoot\r\n      //     ? subtarget.shadowRoot.getElementById('magnifier-glass')\r\n      //     : document.getElementById('magnifier-glass');\r\n\r\n      element && element.remove();\r\n      magnify('myimage', this.zoomSize, tagName);\r\n    },\r\n    zoomSize() {\r\n      const subtarget = document.querySelector('w2p-import-wizard-wrapper');\r\n      let tagName = 'w2p-import-wizard-wrapper';\r\n\r\n      if (subtarget === undefined) {\r\n        tagName = 'w2p-import-wizard';\r\n      }\r\n\r\n      removeMagnify(tagName);\r\n      magnify('myimage', this.zoomSize, tagName);\r\n    },\r\n  },\r\n\r\n  mounted() {\r\n    if (this.isOpen) {\r\n      this.$modal.show('small-details-one-logo-modal');\r\n    }\r\n  },\r\n  methods: {\r\n    onProceed() {\r\n      if (this.status === 'Good') {\r\n        this.$emit('action:back-to-library');\r\n      }\r\n\r\n      if (this.status === 'Average' || this.status === 'Bad') {\r\n        this.smallDetailsPayload.approvedAt = new Date().toISOString();\r\n        this.$emit('action:proceed-with-logo', this.smallDetailsPayload);\r\n      }\r\n\r\n      if (this.status === 'NoCheck') {\r\n        this.$emit('action:upload-new-logo');\r\n      }\r\n\r\n      this.$modal.hide('small-details-one-logo-modal');\r\n    },\r\n    onUpload() {\r\n      if (this.status === 'Good' || this.status === 'NoCheck') {\r\n        this.$emit('action:proceed-with-logo', this.smallDetailsPayload);\r\n      }\r\n\r\n      if (this.status === 'Average' || this.status === 'Bad') {\r\n        this.$emit('action:upload-new-logo');\r\n      }\r\n\r\n      this.$modal.hide('small-details-one-logo-modal');\r\n    },\r\n    enableZoom() {\r\n      const subtarget = document.querySelector('w2p-import-wizard-wrapper');\r\n      let element = undefined;\r\n      let tagName = 'w2p-import-wizard-wrapper';\r\n\r\n      if (subtarget && subtarget.shadowRoot) {\r\n        element = subtarget.shadowRoot.getElementById('magnifier-glass');\r\n      } else {\r\n        const oldVersionTarget = document.querySelector('w2p-import-wizard');\r\n        if (oldVersionTarget && oldVersionTarget.shadowRoot) {\r\n          tagName = 'w2p-import-wizard';\r\n        }\r\n        element =\r\n          oldVersionTarget && oldVersionTarget.shadowRoot\r\n            ? oldVersionTarget.shadowRoot.getElementById('magnifier-glass')\r\n            : document.getElementById('magnifier-glass');\r\n      }\r\n\r\n      // TODO: in 2.18 version revert to old changes\r\n      // const element =\r\n      //   subtarget && subtarget.shadowRoot\r\n      //     ? subtarget.shadowRoot.getElementById('magnifier-glass')\r\n      //     : document.getElementById('magnifier-glass');\r\n\r\n      if (element) {\r\n        this.isZoomEnabled = false;\r\n        this.zoomSize = 2;\r\n        removeMagnify(tagName);\r\n      } else {\r\n        this.isZoomEnabled = true;\r\n        magnify('myimage', this.zoomSize, tagName);\r\n      }\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../node_modules/babel-loader/lib/index.js!../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./SmallDetailsOneLogo.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../node_modules/babel-loader/lib/index.js!../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./SmallDetailsOneLogo.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./SmallDetailsOneLogo.vue?vue&type=template&id=e4d436f2&scoped=true\"\nimport script from \"./SmallDetailsOneLogo.vue?vue&type=script&lang=ts\"\nexport * from \"./SmallDetailsOneLogo.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./SmallDetailsOneLogo.vue?vue&type=style&index=0&id=e4d436f2&prod&scoped=true&lang=scss\")\nif (style0.__inject__) style0.__inject__(context)\nvar style1 = require(\"./SmallDetailsOneLogo.vue?vue&type=style&index=1&id=e4d436f2&prod&lang=css\")\nif (style1.__inject__) style1.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  \"e4d436f2\",\n  null\n  ,true\n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('modal',{attrs:{\"id\":\"small-details-multiple-logos-modal\",\"name\":\"small-details-multiple-logos-modal\",\"height\":\"auto\",\"adaptive\":true,\"click-to-close\":false}},[_c('cv-grid',{staticClass:\"multiple-small-details\",attrs:{\"full-width\":\"\"}},[_c('div',[_c('cv-row',[_c('cv-column',{attrs:{\"sm\":4,\"md\":8,\"lg\":16,\"xlg\":16,\"max\":16}},[_c('div',{staticClass:\"cv-grid-story__preview-col\"},[_c('cv-row',[_c('cv-column',{attrs:{\"sm\":3,\"md\":6,\"lg\":14,\"xlg\":14,\"max\":14}},[_c('div',{staticClass:\"cv-grid-story__preview-col mt-15 ml-15\"},[_c('span',{staticClass:\"title2 productive-heading-03-text-01-2\"},[_vm._v(_vm._s(_vm.relevantShapes.some( (shape) => shape.smallDetailsResult.status !== 'Good' ) ? _vm.$t('small-details.header.multiple-logos') : _vm.$t('small-details.header.good'))+\" \")])])]),_c('cv-column',{attrs:{\"sm\":1,\"md\":2,\"lg\":2,\"xlg\":2,\"max\":2}},[_c('div',{staticClass:\"cv-grid-story__preview-col mt-17 ml-15\"},[_c('close-16',{staticClass:\"close-icon\",on:{\"click\":function($event){return _vm.$emit('action:back-to-wizard')}}})],1)])],1)],1)])],1),_c('cv-row',[_c('cv-column',{attrs:{\"sm\":12,\"md\":12,\"lg\":12,\"xlg\":12,\"max\":12}},[_c('div',{staticClass:\"cv-grid-story__preview-col ml-15 mt-15\"},[_c('span',{staticClass:\"desc body-long-01-text-01\"},[_vm._v(_vm._s(_vm.relevantShapes.some( (shape) => shape.smallDetailsResult.status !== 'Good' ) ? _vm.$t('small-details.description.label') : _vm.$t('small-details.description.good')))])])])],1),_c('cv-row',[_c('cv-column',{attrs:{\"sm\":4,\"md\":8,\"lg\":16,\"xlg\":16,\"max\":16}},[_c('div',{staticClass:\"cv-grid-story__preview-col ml-15 mt-15\"},[_c('span',{staticClass:\"logos-to-check body-long-01-text-01\"},[_vm._v(_vm._s(_vm.$tc('small-details.description.logo-checked', 1, { notConfirmed: _vm.notConfirmed, length: _vm.length, })))])])])],1),_c('div',{staticClass:\"small-details-results\"},[_c('div',{staticClass:\"cv-grid-story__preview-col ml-15 mt-15 bc-gray small-details-image\"},[_c('div',{staticClass:\"img-magnifier-container-multiple\"},[_c('img',{staticClass:\"myimage\",attrs:{\"id\":\"myimage\",\"src\":_vm.imageUrl}})])]),_c('div',{staticClass:\"cv-grid-story__preview-col ml-15 mt-15\"},[(_vm.currentShape.smallDetailsResult.status === 'Good')?_c('div',{staticClass:\"row\"},[_c('span',{staticClass:\"column productive-heading-03-text-01-2 status2\"},[_vm._v(_vm._s(_vm.$t('small-details.status.good'))+\" \")]),_c('checkmark-filled-16',{staticClass:\"column\",style:({\n                color: 'green',\n                marginTop: '2px',\n                marginLeft: '10px',\n              })})],1):_vm._e(),(_vm.currentShape.smallDetailsResult.status === 'Average')?_c('div',{staticClass:\"row\"},[_c('span',{staticClass:\"column productive-heading-03-text-01-2 status2\"},[_vm._v(_vm._s(_vm.$t('small-details.status.average'))+\" \")]),_c('warning-filled-16',{staticClass:\"column\",style:({\n                color: 'orange',\n                marginTop: '2px',\n                marginLeft: '10px',\n              })})],1):_vm._e(),(_vm.currentShape.smallDetailsResult.status === 'Bad')?_c('div',{staticClass:\"row\"},[_c('span',{staticClass:\"column productive-heading-03-text-01-2 status2\"},[_vm._v(_vm._s(_vm.$t('small-details.status.bad'))+\" \")]),_c('close-filled-16',{staticClass:\"column\",style:({\n                color: 'red',\n                marginTop: '2px',\n                marginLeft: '10px',\n              })})],1):_vm._e(),(_vm.currentShape.smallDetailsResult.status === 'NoCheck')?_c('div',{staticClass:\"row\"},[_c('span',{staticClass:\"column productive-heading-02-text-01 no-check-label\"},[_vm._v(_vm._s(_vm.$t('small-details.description.no-check-label'))+\" \")])]):_vm._e(),_c('span',{staticClass:\"logo-primary\"},[_vm._v(\" \"+_vm._s(_vm.currentShape.fileName)+\" \")]),(_vm.currentShape.smallDetailsResult.status !== 'NoCheck')?_c('div',{staticClass:\"progress-container-2\"},[_c('div',{staticClass:\"progress-shadow-second\"}),_c('div',{staticClass:\"progress-second\",style:({\n                '--percent':\n                  _vm.currentShape.smallDetailsResult.calculatedQuality,\n              })})]):_c('div',[_c('div',{staticClass:\"progress-container-3\"},[_c('div',{staticClass:\"progress-line\"})])]),(\n              _vm.currentShape.smallDetailsResult.status === 'Bad' ||\n              _vm.currentShape.smallDetailsResult.status === 'Average'\n            )?_c('cv-checkbox',{staticClass:\"aceept-logos\",attrs:{\"value\":'some',\"checked\":_vm.currentShape.smallDetailsResult.approvedAt !== undefined,\"label\":_vm.$t('small-details.description.accept-logos')},on:{\"change\":_vm.onAcceptLogo}}):_vm._e(),_c('div',{staticClass:\"line\"}),_c('div',{staticClass:\"row mt-10 ml-15\"},[_c('div',{staticClass:\"column\",class:_vm.currentShape.smallDetailsResult.status === 'NoCheck'\n                  ? 'gray-circle'\n                  : 'circle-positive-loss'}),_c('div',{staticClass:\"column ml-5 fs-14 mt-4 regular-font\",class:_vm.currentShape.smallDetailsResult.status === 'NoCheck'\n                  ? 'gray-font-color'\n                  : 'regular-font-color'},[_vm._v(\" \"+_vm._s(_vm.$t('small-details.description.positive-loss'))+\" \")])]),_c('div',{staticClass:\"row ml-15\"},[_c('div',{staticClass:\"column\",class:_vm.currentShape.smallDetailsResult.status === 'NoCheck'\n                  ? 'gray-circle'\n                  : 'circle-negative-loss'}),_c('div',{staticClass:\"column ml-5 fs-14 mt-4 regular-font\",class:_vm.currentShape.smallDetailsResult.status === 'NoCheck'\n                  ? 'gray-font-color'\n                  : 'regular-font-color'},[_vm._v(\" \"+_vm._s(_vm.$t('small-details.description.negative-loss'))+\" \")])])],1)]),(_vm.currentShape.smallDetailsResult.status !== 'NoCheck')?_c('cv-row',[_c('cv-column',{attrs:{\"sm\":4,\"md\":8,\"lg\":16,\"xlg\":16,\"max\":16}},[_c('div',{staticClass:\"zoom-options\"},[_c('zoom-area-24',{on:{\"click\":_vm.enableZoom}}),(_vm.isZoomEnabled)?_c('div',{staticClass:\"zoom-in-out\"},[_c('add-alt-24',{on:{\"click\":function($event){_vm.zoomSize = _vm.zoomSize + 1}}}),_c('span',[_vm._v(_vm._s(_vm.zoomSize - 1 + '00%'))]),_c('subtract-alt-24',{on:{\"click\":function($event){_vm.zoomSize = _vm.zoomSize > 2 ? _vm.zoomSize - 1 : _vm.zoomSize}}})],1):_vm._e()],1)])],1):_vm._e()],1),_c('cv-row',[_c('cv-column',{attrs:{\"sm\":2,\"md\":4,\"lg\":8,\"xlg\":8,\"max\":8}},[_c('div',{staticClass:\"cv-grid-story__preview-col ml-15 mt-15 slider-container\"},[_c('cv-icon-button',{staticClass:\"prev\",attrs:{\"kind\":\"ghost\"},on:{\"click\":function($event){return _vm.move(-1)}},scopedSlots:_vm._u([{key:\"icon\",fn:function(){return [_vm._t(\"icon\",function(){return [_c('chevron-left-32')]})]},proxy:true}],null,true)}),_c('ul',{staticClass:\"dots\"},_vm._l((_vm.relevantShapes),function(shape,index){return _c('li',{key:index,staticClass:\"dot2\",class:{ 'dot2--active': ++index === _vm.activeIdx }})}),0),_c('cv-icon-button',{staticClass:\"next\",attrs:{\"kind\":\"ghost\"},on:{\"click\":function($event){return _vm.move(1)}},scopedSlots:_vm._u([{key:\"icon\",fn:function(){return [_vm._t(\"icon\",function(){return [_c('chevron-right-32')]})]},proxy:true}],null,true)})],1)])],1),_c('cv-row',[_c('cv-column',{attrs:{\"sm\":4,\"md\":8,\"lg\":16,\"xlg\":16,\"max\":16}},[_c('div',{staticClass:\"cv-grid-story__preview-col\"},[_c('cv-button-set',[_c('cv-button',{attrs:{\"kind\":\"secondary\"},on:{\"click\":function($event){return _vm.$emit('action:back-to-wizard')}}},[_vm._v(_vm._s(_vm.$t('section.actions.back-to-wizard')))]),(\n                _vm.currentShape.smallDetailsResult.status !== 'Good' &&\n                _vm.currentShape.smallDetailsResult.approvedAt !== undefined\n              )?_c('cv-button',{attrs:{\"kind\":\"primary\"},on:{\"click\":function($event){return _vm.move(1)}}},[_vm._v(_vm._s(_vm.$t('section.actions.next')))]):(_vm.currentShape.kind === 'Logo')?_c('cv-button',{attrs:{\"kind\":\"primary\",\"disabled\":_vm.currentShape.smallDetailsResult.status === 'Good'},on:{\"click\":_vm.onUploadNewLogo}},[_vm._v(_vm._s(_vm.$t('section.actions.upload-new-logo')))]):_c('cv-button',{attrs:{\"kind\":\"primary\",\"disabled\":_vm.currentShape.smallDetailsResult.status === 'Good'},on:{\"click\":_vm.onUpdateText}},[_vm._v(_vm._s(_vm.$t('section.actions.add-other-text')))])],1)],1)])],1)],1)],1)\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","\r\nimport Vue from 'vue';\r\nimport { useStore as useShapeStore } from '@/stores/shape';\r\nimport { useStore as useShapeStoreV2 } from '@/stores/v2/shape';\r\nimport {\r\n  CvGrid,\r\n  CvRow,\r\n  CvColumn,\r\n  CvButton,\r\n  CvButtonSet,\r\n  CvCheckbox,\r\n  CvIconButton,\r\n} from '@carbon/vue';\r\nimport Close16 from '@carbon/icons-vue/es/close/16';\r\nimport CheckmarkFilled16 from '@carbon/icons-vue/es/checkmark--filled/16';\r\nimport CloseFilled16 from '@carbon/icons-vue/es/close--filled/16';\r\nimport WarningFilled16 from '@carbon/icons-vue/es/warning--filled/16';\r\nimport ChevronLeft32 from '@carbon/icons-vue/es/chevron--left/32';\r\nimport ChevronRight32 from '@carbon/icons-vue/es/chevron--right/32';\r\nimport ZoomArea24 from '@carbon/icons-vue/es/zoom--area/24';\r\nimport AddAlt24 from '@carbon/icons-vue/es/add--alt/24';\r\nimport SubtractAlt24 from '@carbon/icons-vue/es/subtract--alt/24';\r\nimport { AnnotationShape } from '@/web-components/import-wizard/typings';\r\nimport {\r\n  removeMagnify,\r\n  magnify,\r\n} from '@/components/SmallDetails/utils/magnify';\r\n\r\nexport default Vue.extend({\r\n  name: 'SmallDetailsMultipleLogos',\r\n  components: {\r\n    CvGrid,\r\n    CvColumn,\r\n    CvRow,\r\n    Close16,\r\n    CheckmarkFilled16,\r\n    WarningFilled16,\r\n    CloseFilled16,\r\n    CvButton,\r\n    CvButtonSet,\r\n    CvCheckbox,\r\n    ChevronRight32,\r\n    ChevronLeft32,\r\n    ZoomArea24,\r\n    AddAlt24,\r\n    CvIconButton,\r\n    SubtractAlt24,\r\n  },\r\n  props: {\r\n    isOpen: {\r\n      type: Boolean,\r\n      required: true,\r\n      default: false,\r\n    },\r\n    useVersion2: {\r\n      type: Boolean,\r\n      required: false,\r\n      default: false,\r\n    },\r\n  },\r\n  data() {\r\n    return {\r\n      activeIdx: 1,\r\n      isZoomEnabled: false,\r\n      zoomSize: 2,\r\n    };\r\n  },\r\n  setup() {\r\n    const { shapes, removeShape } = useShapeStore();\r\n\r\n    return {\r\n      shapes, removeShape\r\n    };\r\n  },\r\n  computed: {\r\n    currentShape(): AnnotationShape {\r\n      return this.relevantShapes[this.activeIdx - 1];\r\n    },\r\n    relevantShapes(): AnnotationShape[] {\r\n      const store = this.useVersion2 ? useShapeStoreV2() : useShapeStore();\r\n\r\n      return store.shapes.filter((x) => x.smallDetailsResult !== undefined);\r\n    },\r\n    length(): number {\r\n      return this.relevantShapes.length;\r\n    },\r\n    notConfirmed(): number {\r\n      const store = this.useVersion2 ? useShapeStoreV2() : useShapeStore();\r\n\r\n      return store.shapes.filter(\r\n        (x) =>\r\n          x.smallDetailsResult &&\r\n          x.smallDetailsResult.status !== 'Good' &&\r\n          x.smallDetailsResult.status !== 'NoCheck' &&\r\n          x.smallDetailsResult.approvedAt === undefined\r\n      ).length;\r\n    },\r\n    imageUrl(): string | undefined {\r\n      if (this.currentShape.kind === 'Text') {\r\n        return this.currentShape.smallDetailsResult &&\r\n          this.currentShape.smallDetailsResult.status !== 'NoCheck'\r\n          ? URL.createObjectURL(\r\n              this.currentShape.smallDetailsResult.pngFileBlob\r\n            )\r\n          : undefined;\r\n      }\r\n\r\n      if (this.currentShape.kind === 'Logo') {\r\n        return this.currentShape.smallDetailsResult &&\r\n          this.currentShape.smallDetailsResult.status !== 'NoCheck'\r\n          ? URL.createObjectURL(\r\n              this.currentShape.smallDetailsResult.pngFileBlob\r\n            )\r\n          : URL.createObjectURL(this.currentShape.pngFile as Blob);\r\n      }\r\n      return undefined;\r\n    },\r\n  },\r\n  watch: {\r\n    isOpen(newValue) {\r\n      if (newValue) {\r\n        this.$modal.show('small-details-multiple-logos-modal');\r\n      } else {\r\n        this.$modal.hide('small-details-multiple-logos-modal');\r\n      }\r\n    },\r\n    activeIdx() {\r\n      // reset magnify glass\r\n      const subtarget = document.querySelector('w2p-import-wizard-wrapper');\r\n      let element = undefined;\r\n      let tagName = 'w2p-import-wizard-wrapper';\r\n\r\n      if (subtarget && subtarget.shadowRoot) {\r\n        element = subtarget.shadowRoot.getElementById('magnifier-glass');\r\n      } else {\r\n        const oldVersionTarget = document.querySelector('w2p-import-wizard');\r\n        tagName = 'w2p-import-wizard';\r\n        element =\r\n          oldVersionTarget && oldVersionTarget.shadowRoot\r\n            ? oldVersionTarget.shadowRoot.getElementById('magnifier-glass')\r\n            : document.getElementById('magnifier-glass');\r\n      }\r\n\r\n      // TODO: in 2.18 version revert to old changes\r\n      // const element =\r\n      //   subtarget && subtarget.shadowRoot\r\n      //     ? subtarget.shadowRoot.getElementById('magnifier-glass')\r\n      //     : document.getElementById('magnifier-glass');\r\n\r\n      element && element.remove();\r\n      magnify('myimage', this.zoomSize, tagName);\r\n    },\r\n    zoomSize() {\r\n      const subtarget = document.querySelector('w2p-import-wizard-wrapper');\r\n      let tagName;\r\n\r\n      if (subtarget && subtarget.shadowRoot) {\r\n        tagName = 'w2p-import-wizard-wrapper';\r\n      } else {\r\n        tagName = 'w2p-import-wizard';\r\n      }\r\n      removeMagnify(tagName);\r\n      magnify('myimage', this.zoomSize, tagName);\r\n    },\r\n  },\r\n  mounted() {\r\n    if (this.isOpen) {\r\n      this.$modal.show('small-details-multiple-logos-modal');\r\n    }\r\n  },\r\n\r\n  methods: {\r\n    move(amount: number) {\r\n      let newActive;\r\n      const newIndex = this.activeIdx + amount;\r\n      if (newIndex > this.length) newActive = 1;\r\n      if (newIndex === 0) newActive = this.length;\r\n\r\n      this.activeIdx = newActive || newIndex;\r\n    },\r\n    onAcceptLogo(checked: boolean) {\r\n      if (this.currentShape.smallDetailsResult) {\r\n        const value = checked ? new Date().toISOString() : undefined;\r\n        this.currentShape.smallDetailsResult.approvedAt = value;\r\n      }\r\n    },\r\n    onUploadNewLogo() {\r\n      this.$emit('action:back-to-wizard');\r\n      this.removeShape(this.currentShape.id);\r\n      this.$emit('action:open-logo-library');\r\n    },\r\n    enableZoom() {\r\n      const subtarget = document.querySelector('w2p-import-wizard-wrapper');\r\n      let element = undefined;\r\n      let tagName = 'w2p-import-wizard-wrapper';\r\n      if (subtarget && subtarget.shadowRoot) {\r\n        element = subtarget.shadowRoot.getElementById('magnifier-glass');\r\n      } else {\r\n        const oldVersionTarget = document.querySelector('w2p-import-wizard');\r\n        tagName = 'w2p-import-wizard';\r\n        element =\r\n          oldVersionTarget && oldVersionTarget.shadowRoot\r\n            ? oldVersionTarget.shadowRoot.getElementById('magnifier-glass')\r\n            : document.getElementById('magnifier-glass');\r\n      }\r\n\r\n      // TODO: in 2.18 version revert to old changes\r\n      // const element =\r\n      //   subtarget && subtarget.shadowRoot\r\n      //     ? subtarget.shadowRoot.getElementById('magnifier-glass')\r\n      //     : document.getElementById('magnifier-glass');\r\n\r\n      if (element) {\r\n        this.isZoomEnabled = false;\r\n        this.zoomSize = 2;\r\n        removeMagnify(tagName);\r\n      } else {\r\n        this.isZoomEnabled = true;\r\n        magnify('myimage', this.zoomSize, tagName);\r\n      }\r\n    },\r\n\r\n    onUpdateText() {\r\n      this.$emit('action:back-to-wizard');\r\n      this.$modal.show('tiptap-modal', { id: this.currentShape.id });\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../node_modules/babel-loader/lib/index.js!../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./SmallDetailsMultipleLogos.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../node_modules/babel-loader/lib/index.js!../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./SmallDetailsMultipleLogos.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./SmallDetailsMultipleLogos.vue?vue&type=template&id=4f540050\"\nimport script from \"./SmallDetailsMultipleLogos.vue?vue&type=script&lang=ts\"\nexport * from \"./SmallDetailsMultipleLogos.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./SmallDetailsMultipleLogos.vue?vue&type=style&index=0&id=4f540050&prod&lang=scss\")\nif (style0.__inject__) style0.__inject__(context)\nvar style1 = require(\"./SmallDetailsMultipleLogos.vue?vue&type=style&index=1&id=4f540050&prod&lang=css\")\nif (style1.__inject__) style1.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  null,\n  null\n  ,true\n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('modal',{attrs:{\"name\":\"small-details-loader\",\"width\":\"320px\",\"height\":\"172px\",\"adaptive\":true,\"click-to-close\":false}},[_c('div',{staticClass:\"container\"},[_c('span',{staticClass:\"title productive-heading-03-text-01-2\"},[_vm._v(_vm._s(_vm.$t('small-details.loader.header')))]),_c('cv-inline-loading',{staticClass:\"loader\",attrs:{\"loading-text\":_vm.$t('small-details.loader.checking-small-details'),\"state\":'loading'}})],1)])\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","\r\nimport Vue from 'vue';\r\nimport { CvInlineLoading } from '@carbon/vue';\r\n\r\nexport default Vue.extend({\r\n  name: 'SmallDetailsLoader',\r\n  components: {\r\n    CvInlineLoading,\r\n  },\r\n  props: {\r\n    isOpen: {\r\n      type: Boolean,\r\n      required: true,\r\n      default: false,\r\n    },\r\n  },\r\n\r\n  watch: {\r\n    isOpen(newValue) {\r\n      if (newValue) {\r\n        this.$modal.show('small-details-loader');\r\n      } else {\r\n        this.$modal.hide('small-details-loader');\r\n      }\r\n    },\r\n  },\r\n\r\n  mounted() {\r\n    if (this.isOpen) {\r\n      this.$modal.show('small-details-loader');\r\n    }\r\n  },\r\n});\r\n","import mod from \"-!../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../node_modules/babel-loader/lib/index.js!../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./SmallDetailsLoader.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../node_modules/babel-loader/lib/index.js!../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./SmallDetailsLoader.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./SmallDetailsLoader.vue?vue&type=template&id=2c7c02d0&scoped=true\"\nimport script from \"./SmallDetailsLoader.vue?vue&type=script&lang=ts\"\nexport * from \"./SmallDetailsLoader.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./SmallDetailsLoader.vue?vue&type=style&index=0&id=2c7c02d0&prod&lang=css\")\nif (style0.__inject__) style0.__inject__(context)\nvar style1 = require(\"./SmallDetailsLoader.vue?vue&type=style&index=1&id=2c7c02d0&prod&scoped=true&lang=css\")\nif (style1.__inject__) style1.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  \"2c7c02d0\",\n  null\n  ,true\n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('div',{class:{ centered: !_vm.smallDetailsResult }},[(!_vm.smallDetailsResult)?_c('div',[_c('cv-inline-loading',{staticClass:\"detailsloader\",attrs:{\"loading-text\":_vm.$t('small-details.loader.checking-small-details'),\"state\":'loading'}})],1):_c('div',[_c('cv-grid',{staticClass:\"logo-only-small-details\",attrs:{\"full-width\":\"\"}},[_c('cv-row',[_c('cv-column',[_c('div',{staticClass:\"cv-grid-story__preview-col ml-15\"},[(\n                _vm.smallDetailsResult.status === 'Bad' ||\n                _vm.smallDetailsResult.status === 'Average'\n              )?_c('span',{staticClass:\"desc body-long-01-text-01 status2\"},[_vm._v(\" \"+_vm._s(_vm.$t('small-details.header.logo-only-not-good'))+\" \")]):(_vm.smallDetailsResult.status === 'NoCheck')?_c('span',{staticClass:\"desc body-long-01-text-01 status2\"},[_vm._v(\" \"+_vm._s(_vm.$t('small-details.header.no-check'))+\" \")]):_c('span',{staticClass:\"desc body-long-01-text-01 status2\"},[_vm._v(\" \"+_vm._s(_vm.$t('small-details.header.good'))+\" \")])]),_c('div',{staticClass:\"cv-grid-story__preview-col ml-15 mt-15\"},[(\n                _vm.smallDetailsResult.status === 'Bad' ||\n                _vm.smallDetailsResult.status === 'Average'\n              )?_c('span',{staticClass:\"desc body-long-01-text-01\"},[_vm._v(\" \"+_vm._s(_vm.$t('small-details.description.logo-only-not-good-label'))+\" \")]):(_vm.smallDetailsResult.status === 'NoCheck')?_c('span',{staticClass:\"desc body-long-01-text-01\"},[_vm._v(\" \"+_vm._s(_vm.$t('small-details.description.no-check-logo-only-desc'))+\" \")]):_c('span',{staticClass:\"desc body-long-01-text-01\"},[_vm._v(\" \"+_vm._s(_vm.$t('small-details.description.good'))+\" \")])])])],1),_c('cv-row',[_c('cv-column',{staticClass:\"image-content\",attrs:{\"sm\":2,\"md\":4,\"lg\":8,\"xlg\":8,\"max\":8}},[_c('div',{staticClass:\"cv-grid-story__preview-col ml-15 mt-15 bc-gray\"},[_c('div',{staticClass:\"img-magnifier-container\"},[_c('img',{staticClass:\"image2\",attrs:{\"id\":\"myimage\",\"src\":_vm.imageUrl}})]),(_vm.smallDetailsResult.status !== 'NoCheck')?_c('div',{staticClass:\"zoom-options\"},[_c('zoom-area-24',{on:{\"click\":_vm.enableZoom}}),(_vm.isZoomEnabled)?_c('div',{staticClass:\"zoom-in-out\"},[_c('add-alt-24',{on:{\"click\":function($event){_vm.zoomSize = _vm.zoomSize + 1}}}),_c('span',[_vm._v(_vm._s(_vm.zoomSize - 1 + '00%'))]),_c('subtract-alt-24',{on:{\"click\":function($event){_vm.zoomSize = _vm.zoomSize > 2 ? _vm.zoomSize - 1 : _vm.zoomSize}}})],1):_vm._e()],1):_vm._e()])]),_c('cv-column',{attrs:{\"sm\":2,\"md\":4,\"lg\":8,\"xlg\":8,\"max\":8}},[_c('div',{staticClass:\"cv-grid-story__preview-col ml-15 mt-15\"},[(_vm.smallDetailsResult.status === 'Good')?_c('div',{staticClass:\"row\"},[_c('span',{staticClass:\"column productive-heading-03-text-01-2 status2\"},[_vm._v(_vm._s(_vm.$t('small-details.status.good'))+\" \")]),_c('checkmark-filled-16',{staticClass:\"column\",style:({\n                  color: 'green',\n                  marginTop: '2px',\n                  marginLeft: '10px',\n                })})],1):_vm._e(),(_vm.smallDetailsResult.status === 'Average')?_c('div',{staticClass:\"row\"},[_c('span',{staticClass:\"column productive-heading-03-text-01-2 status2\"},[_vm._v(_vm._s(_vm.$t('small-details.status.average'))+\" \")]),_c('warning-filled-16',{staticClass:\"column\",style:({\n                  color: 'orange',\n                  marginTop: '2px',\n                  marginLeft: '10px',\n                })})],1):_vm._e(),(_vm.smallDetailsResult.status === 'Bad')?_c('div',{staticClass:\"row\"},[_c('span',{staticClass:\"column productive-heading-03-text-01-2 status2\"},[_vm._v(_vm._s(_vm.$t('small-details.status.bad'))+\" \")]),_c('close-filled-16',{staticClass:\"column\",style:({\n                  color: 'red',\n                  marginTop: '2px',\n                  marginLeft: '10px',\n                })})],1):_vm._e(),(_vm.smallDetailsResult.status === 'NoCheck')?_c('div',{staticClass:\"row\"},[_c('span',{staticClass:\"column productive-heading-02-text-01 no-check-label\"},[_vm._v(_vm._s(_vm.$t('small-details.description.no-check-label'))+\" \")])]):_vm._e(),_c('div',{staticClass:\"row\"},[_c('span',{staticClass:\"logo-name\"},[_vm._v(\" \"+_vm._s(_vm.uploadedFileName)+\" \")])]),(_vm.smallDetailsResult.status !== 'NoCheck')?_c('div',{staticClass:\"progress-container-2\"},[_c('div',{staticClass:\"progress-shadow-second\"}),_c('div',{staticClass:\"progress-second\",style:({\n                  '--percent': _vm.smallDetailsResult.calculatedQuality,\n                })})]):_c('div',[_c('div',{staticClass:\"progress-container-3\"},[_c('div',{staticClass:\"progress-line\"})])]),_c('div',{staticClass:\"row mt-10 ml-15\"},[_c('div',{staticClass:\"column\",class:_vm.smallDetailsResult.status === 'NoCheck'\n                    ? 'gray-circle'\n                    : 'circle-positive-loss'}),_c('div',{staticClass:\"column ml-5 fs-14 mt-4\",class:_vm.smallDetailsResult.status === 'NoCheck'\n                    ? 'gray-font-color'\n                    : 'regular-font-color'},[_vm._v(\" \"+_vm._s(_vm.$t('small-details.description.positive-loss'))+\" \")])]),_c('div',{staticClass:\"row ml-15\"},[_c('div',{staticClass:\"column\",class:_vm.smallDetailsResult.status === 'NoCheck'\n                    ? 'gray-circle'\n                    : 'circle-negative-loss'}),_c('div',{staticClass:\"column ml-5 fs-14 mt-4\",class:_vm.smallDetailsResult.status === 'NoCheck'\n                    ? 'gray-font-color'\n                    : 'regular-font-color'},[_vm._v(\" \"+_vm._s(_vm.$t('small-details.description.negative-loss'))+\" \")])])]),(\n              _vm.smallDetailsResult.status === 'Bad' ||\n              _vm.smallDetailsResult.status === 'Average'\n            )?_c('cv-checkbox',{staticClass:\"accept-logo ml-15\",attrs:{\"value\":'some',\"checked\":_vm.smallDetailsResult.approvedAt !== undefined,\"label\":_vm.$t('small-details.description.logo-only-confirmation')},on:{\"change\":_vm.onAcceptLogo}}):_vm._e()],1)],1)],1)],1)])\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","\r\nimport Vue, { PropType } from 'vue';\r\nimport {\r\n  CvGrid,\r\n  CvRow,\r\n  CvColumn,\r\n  CvCheckbox,\r\n  CvInlineLoading,\r\n} from '@carbon/vue';\r\nimport CheckmarkFilled16 from '@carbon/icons-vue/es/checkmark--filled/16';\r\nimport CloseFilled16 from '@carbon/icons-vue/es/close--filled/16';\r\nimport WarningFilled16 from '@carbon/icons-vue/es/warning--filled/16';\r\nimport ZoomArea24 from '@carbon/icons-vue/es/zoom--area/24';\r\nimport AddAlt24 from '@carbon/icons-vue/es/add--alt/24';\r\nimport SubtractAlt24 from '@carbon/icons-vue/es/subtract--alt/24';\r\nimport {\r\n  removeMagnify,\r\n  magnify,\r\n} from '@/components/SmallDetails/utils/magnify';\r\nimport { SmallDetailsPayload } from '@/typings';\r\nimport { base64StringToBlob } from 'blob-util';\r\n\r\nexport default Vue.extend({\r\n  name: 'SmallDetailsLogoOnly',\r\n  components: {\r\n    CvGrid,\r\n    CvColumn,\r\n    CvRow,\r\n    CheckmarkFilled16,\r\n    WarningFilled16,\r\n    CloseFilled16,\r\n    CvCheckbox,\r\n    ZoomArea24,\r\n    AddAlt24,\r\n    SubtractAlt24,\r\n    CvInlineLoading,\r\n  },\r\n  props: {\r\n    uploadedFileName: {\r\n      type: String,\r\n      required: false,\r\n      default: '',\r\n    },\r\n    uploadedFile: {\r\n      type: String,\r\n      required: false,\r\n      default: '',\r\n    },\r\n    smallDetailsResult: {\r\n      type: Object as PropType<SmallDetailsPayload>,\r\n      required: false,\r\n      default: null,\r\n    },\r\n  },\r\n  data() {\r\n    return {\r\n      isZoomEnabled: false,\r\n      zoomSize: 2,\r\n    };\r\n  },\r\n\r\n  computed: {\r\n    imageUrl(): string {\r\n      return this.smallDetailsResult.status !== 'NoCheck'\r\n        ? URL.createObjectURL(this.smallDetailsResult.pngFileBlob)\r\n        : URL.createObjectURL(base64StringToBlob(this.uploadedFile));\r\n    },\r\n  },\r\n\r\n  watch: {\r\n    zoomSize() {\r\n      removeMagnify('w2p-flow-starter');\r\n      magnify('myimage', this.zoomSize, 'w2p-flow-starter');\r\n    },\r\n  },\r\n\r\n  methods: {\r\n    onAcceptLogo(checked: boolean) {\r\n      const value = checked ? new Date().toISOString() : undefined;\r\n      this.smallDetailsResult.approvedAt = value;\r\n    },\r\n\r\n    enableZoom() {\r\n      const subtarget = document.querySelector('w2p-flow-starter');\r\n      const element =\r\n        subtarget && subtarget.shadowRoot\r\n          ? subtarget.shadowRoot.getElementById('magnifier-glass')\r\n          : document.getElementById('magnifier-glass');\r\n      if (element) {\r\n        this.isZoomEnabled = false;\r\n        this.zoomSize = 2;\r\n        removeMagnify('w2p-flow-starter');\r\n      } else {\r\n        this.isZoomEnabled = true;\r\n        magnify('myimage', this.zoomSize, 'w2p-flow-starter');\r\n      }\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../node_modules/babel-loader/lib/index.js!../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./SmallDetailsLogoOnly.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../node_modules/babel-loader/lib/index.js!../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./SmallDetailsLogoOnly.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./SmallDetailsLogoOnly.vue?vue&type=template&id=1e6bc25b&scoped=true\"\nimport script from \"./SmallDetailsLogoOnly.vue?vue&type=script&lang=ts\"\nexport * from \"./SmallDetailsLogoOnly.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./SmallDetailsLogoOnly.vue?vue&type=style&index=0&id=1e6bc25b&prod&lang=scss\")\nif (style0.__inject__) style0.__inject__(context)\nvar style1 = require(\"./SmallDetailsLogoOnly.vue?vue&type=style&index=1&id=1e6bc25b&prod&scoped=true&lang=scss\")\nif (style1.__inject__) style1.__inject__(context)\nvar style2 = require(\"./SmallDetailsLogoOnly.vue?vue&type=style&index=2&id=1e6bc25b&prod&lang=css\")\nif (style2.__inject__) style2.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  \"1e6bc25b\",\n  null\n  ,true\n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('div',{staticClass:\"manual-check-container\"},[_c('cv-button',{staticClass:\"manual-check-btn\",attrs:{\"kind\":\"tertiary\",\"disabled\":_vm.isDisabled},on:{\"click\":_vm.onManualCheck}},[_c('span',[_vm._v(\" \"+_vm._s(_vm.$t('section.actions.check-small-details'))+\" \")]),_c('heat-map-16',{staticClass:\"bx--btn__icon btn--size\"})],1),_c('span',{staticClass:\"check-label caption-01-text-02\"},[_vm._v(_vm._s(_vm.checkStatusLabel))]),_c('small-details-loader',{attrs:{\"is-open\":_vm.isLoaderOpen}}),(_vm.isSmallDetailsOpen)?_c('small-details-multiple-logos',{attrs:{\"is-open\":_vm.isSmallDetailsOpen},on:{\"action:back-to-wizard\":() => {\n        _vm.$emit('action:reset-flag');\n        _vm.isSmallDetailsOpen = false;\n      },\"action:open-logo-library\":function($event){return _vm.$emit('modal:open')}}}):_vm._e(),_c('small-details-confirmation',{attrs:{\"is-open\":_vm.isConfirmationOpen},on:{\"action:back-to-wizard\":() => {\n        _vm.$emit('action:reset-flag');\n        _vm.isConfirmationOpen = false;\n      },\"action:check-small-details\":() => {\n        _vm.isSmallDetailsOpen = true;\n        _vm.isConfirmationOpen = false;\n      },\"action:use-current-design\":_vm.onUseCurrentDesign}})],1)\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","/**\n * Copyright IBM Corp. 2019, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nimport { c as createSVGComponent } from '../utils-9450cd75.js';\nimport '@carbon/icon-helpers';\nimport 'vue';\n\nconst HeatMap16 = createSVGComponent('HeatMap16', {\n  \"xmlns\": \"http://www.w3.org/2000/svg\",\n  \"viewBox\": \"0 0 32 32\",\n  \"fill\": \"currentColor\",\n  \"width\": 16,\n  \"height\": 16\n}, [{\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M20 18H22V20H20zM28 16H30V18H28zM14 6H16V8H14zM16 22H12V16a2.0023 2.0023 0 00-2-2H4a2.0023 2.0023 0 00-2 2v6a2.0023 2.0023 0 002 2h6v4a2.0023 2.0023 0 002 2h4a2.0023 2.0023 0 002-2V24A2.0023 2.0023 0 0016 22zM4 22V16h6v6zm8 6V24h4v4zM28 30H24a2.0021 2.0021 0 01-2-2V24a2.0021 2.0021 0 012-2h4a2.0021 2.0021 0 012 2v4A2.0021 2.0021 0 0128 30zm-4-6v4h4V24zM28 2H22a2.0023 2.0023 0 00-2 2v6H18a2.0023 2.0023 0 00-2 2v2a2.0023 2.0023 0 002 2h2a2.0023 2.0023 0 002-2V12h6a2.0023 2.0023 0 002-2V4A2.0023 2.0023 0 0028 2zM18 14V12h2v2zm4-4V4h6v6zM8 10H4A2.0021 2.0021 0 012 8V4A2.0021 2.0021 0 014 2H8a2.0021 2.0021 0 012 2V8A2.0021 2.0021 0 018 10zM4 4V8H8V4z\"\n  }\n}]);\n\nexport { HeatMap16 as default };\n","\r\nimport Vue from 'vue';\r\nimport { CvButton } from '@carbon/vue';\r\nimport HeatMap16 from '@carbon/icons-vue/es/heat-map/16';\r\nimport {\r\n  revalidateSmallDetails,\r\n  SmallDetailsLoader,\r\n  SmallDetailsMultipleLogos,\r\n} from '@/components/SmallDetails';\r\nimport SmallDetailsConfirmation from '@/components/SmallDetails/Confirmation/SmallDetailsConfirmation.vue';\r\nimport { useStore as useShapeStore } from '@/stores/shape';\r\nimport { useStore as useProductStore } from '@/stores/product';\r\nimport { useStore as useNotificationStore } from '@/stores/notification';\r\nimport { UpdatePersonalizationCommand } from '@/web-components/import-wizard/typings/common/createPersonalization';\r\nimport {\r\n  CreatePersonalizationForm,\r\n  Personalization,\r\n} from '@midocean/webapps-shared-domain';\r\nimport {\r\n  getArtworkFiles,\r\n  getProofFormFromState,\r\n  getSmallDetailsFiles,\r\n  getVariantFiles,\r\n  getTextFiles,\r\n} from '@/utils/personalizationHelper';\r\nimport { useStore as useLangStore } from '@/stores/lang';\r\nimport customerService from '@/services/CustomersService';\r\nimport { DoSmallDetailsPart } from '@/constants/imageProcessingEngine';\r\nimport { PipelineNotificationType } from '@/components/Notifiers/typings/PipelineNotificationType';\r\nimport { PdpChoicesSetterType } from '@/setters/typings';\r\n\r\ndeclare module 'vue/types/vue' {\r\n  interface Vue {\r\n    $pdpChoices: PdpChoicesSetterType;\r\n    $sapCustomerId: string;\r\n    $isEditMode: boolean;\r\n    $personalization: Personalization;\r\n    $isDirectApproval: boolean;\r\n    $isConceptDisabled: boolean;\r\n    $isOrderDisabled: boolean;\r\n    $customerCompanyLogoUrl: string;\r\n  }\r\n}\r\n\r\nexport default Vue.extend({\r\n  name: 'ManualCheck',\r\n  components: {\r\n    SmallDetailsLoader,\r\n    SmallDetailsMultipleLogos,\r\n    SmallDetailsConfirmation,\r\n    CvButton,\r\n    HeatMap16,\r\n  },\r\n  inject: [\r\n    '$pdpChoices',\r\n    '$sapCustomerId',\r\n    '$isEditMode',\r\n    '$personalization',\r\n    '$isDirectApproval',\r\n    '$isConceptDisabled',\r\n    '$isOrderDisabled',\r\n    '$customerCompanyLogoUrl',\r\n  ],\r\n  props: {\r\n    triggerSmallDetailsCheck: {\r\n      type: Boolean,\r\n      required: false,\r\n      default: false,\r\n    },\r\n    isConcept: {\r\n      type: Boolean,\r\n      required: false,\r\n      default: false,\r\n    },\r\n  },\r\n  data() {\r\n    return {\r\n      isLoaderOpen: false,\r\n      isSmallDetailsOpen: false,\r\n      isConfirmationOpen: false,\r\n    };\r\n  },\r\n  setup() {\r\n    const { shapes, positionShapeMap } = useShapeStore();\r\n    const { data, unavailablePrintPositions } = useProductStore();\r\n    const { languageInUse } = useLangStore();\r\n    const { notificationsForBell, updateSmallDetailsNotifications } =\r\n      useNotificationStore();\r\n\r\n    return {\r\n      shapes,\r\n      positionShapeMap,\r\n      data,\r\n      unavailablePrintPositions,\r\n      languageInUse,\r\n      // notificationsForBell,\r\n      updateSmallDetailsNotifications,\r\n    };\r\n  },\r\n  computed: {\r\n    isDisabled(): boolean {\r\n      return (\r\n        this.shapes.filter((x) => x.smallDetailsResult !== undefined).length ===\r\n        0\r\n      );\r\n    },\r\n    checkStatusLabel(): string {\r\n      const noCheckShapes = this.shapes.filter(\r\n        (x) =>\r\n          x.smallDetailsResult &&\r\n          x.smallDetailsResult.status === 'NoCheck' &&\r\n          x.smallDetailsResult.isCheckValid\r\n      );\r\n      if (\r\n        this.shapes.length === 0 ||\r\n        noCheckShapes.length === this.shapes.length\r\n      )\r\n        return this.$t('small-details.description.no-check').toString();\r\n\r\n      const newCheckNeeded =\r\n        this.shapes.filter(\r\n          (x) =>\r\n            x.smallDetailsResult && x.smallDetailsResult.isCheckValid === false\r\n        ).length > 0;\r\n\r\n      return newCheckNeeded\r\n        ? this.$t('small-details.description.invalid-check').toString()\r\n        : this.$t('small-details.description.valid-check').toString();\r\n    },\r\n  },\r\n  watch: {\r\n    triggerSmallDetailsCheck(newValue) {\r\n      if (newValue) {\r\n        this.onManualCheck();\r\n      }\r\n    },\r\n  },\r\n  methods: {\r\n    async onManualCheck() {\r\n      this.$modal.hide('pdf-preview-modal');\r\n\r\n      const isRevalidationNeeded =\r\n        this.shapes.filter(\r\n          (x) =>\r\n            x.smallDetailsResult && x.smallDetailsResult.isCheckValid === false\r\n        ).length > 0;\r\n\r\n      if (isRevalidationNeeded) {\r\n        this.isLoaderOpen = true;\r\n        await revalidateSmallDetails();\r\n\r\n        this.isLoaderOpen = false;\r\n        this.updateSmallDetailsNotifications();\r\n      }\r\n\r\n      const isConfirmationNeeded =\r\n        this.shapes.filter((x) => x.smallDetailsResult?.status !== 'Good')\r\n          .length > 0;\r\n\r\n      if (this.triggerSmallDetailsCheck && isConfirmationNeeded) {\r\n        this.isConfirmationOpen = true;\r\n      } else if (this.triggerSmallDetailsCheck && !isConfirmationNeeded) {\r\n        this.trySavePersonalization();\r\n      } else {\r\n        this.isSmallDetailsOpen = true;\r\n      }\r\n    },\r\n\r\n    onUseCurrentDesign() {\r\n      const unAcceptedShapes = this.shapes.filter(\r\n        (x) => x.smallDetailsResult?.status !== 'Good'\r\n      );\r\n\r\n      const utcDate = new Date().toISOString();\r\n\r\n      unAcceptedShapes.map((x) => {\r\n        if (x.smallDetailsResult) {\r\n          x.smallDetailsResult.approvedAt = utcDate;\r\n        }\r\n      });\r\n\r\n      this.trySavePersonalization();\r\n\r\n      this.isConfirmationOpen = false;\r\n    },\r\n    async trySavePersonalization() {\r\n      const { sku, name } = this.data;\r\n\r\n      const files = await getArtworkFiles(this.shapes);\r\n      const variantFiles = getVariantFiles(this.shapes);\r\n      const smallDetailsFiles = DoSmallDetailsPart\r\n        ? getSmallDetailsFiles(this.shapes)\r\n        : [];\r\n      const textFiles = getTextFiles(this.shapes);\r\n\r\n      const notificationStore = useNotificationStore();\r\n\r\n      if (!this.$isEditMode) {\r\n        try {\r\n          const { productVariants: pdpChoicesProductVariants } =\r\n            this.$pdpChoices;\r\n\r\n          const form: CreatePersonalizationForm = {\r\n            externalCustomerId: this.$sapCustomerId,\r\n            productSKU: sku,\r\n            productName: name,\r\n            isConcept: this.isConcept,\r\n            isDirectApproval: this.$isDirectApproval,\r\n            customerCompanyLogoUrl: this.$customerCompanyLogoUrl,\r\n            contactLanguageCode: this.languageInUse,\r\n            creator: '',\r\n            proofType: 'AdvancedPersonalization',\r\n            productVariants: pdpChoicesProductVariants,\r\n            newProofForm: getProofFormFromState(false),\r\n            remarkCodes: notificationStore.notificationsForBell\r\n              .filter(\r\n                (notification: PipelineNotificationType) =>\r\n                  notification.validatorName === 'commercialRemark'\r\n              )\r\n              .map((notification) => notification.message),\r\n          } as unknown as CreatePersonalizationForm;\r\n\r\n          const {\r\n            data: { id: personalizationId },\r\n          } = await customerService.submitPersonalization(\r\n            files,\r\n            variantFiles,\r\n            smallDetailsFiles,\r\n            textFiles,\r\n            form\r\n          );\r\n\r\n          this.sendEvent({ personalizationId });\r\n          this.$emit('action:disable-pintura');\r\n        } catch (e) {\r\n          console.log(e);\r\n        }\r\n      }\r\n\r\n      if (this.$isEditMode) {\r\n        const command: UpdatePersonalizationCommand = {\r\n          name: this.$personalization.proofs[0].name ?? '',\r\n          remarkCodes: notificationStore.notificationsForBell\r\n            .filter(\r\n              (notification: PipelineNotificationType) =>\r\n                notification.validatorName === 'commercialRemark'\r\n            )\r\n            .map((notification) => notification.message),\r\n          ...getProofFormFromState(false),\r\n        };\r\n        await customerService.updatePersonalization(\r\n          files,\r\n          variantFiles,\r\n          smallDetailsFiles,\r\n          textFiles,\r\n          command,\r\n          this.$personalization.id,\r\n          this.$personalization.proofs[0].id\r\n        );\r\n\r\n        //Check if Order this item btn is clicked, if yes - complete personalization\r\n        if (!this.isConcept) {\r\n          await customerService.completePersonalization(\r\n            this.$personalization.id\r\n          );\r\n        }\r\n\r\n        this.sendEvent({ personalizationId: this.$personalization.id });\r\n        this.$emit('action:disable-pintura');\r\n      }\r\n    },\r\n    sendEvent(payload: { personalizationId: string }) {\r\n      if (!this.$root.$refs.inner) return;\r\n      (this.$root.$refs.inner as Vue).$emit(\r\n        this.isConcept ? 'wizard:saved-as-concept' : 'wizard:ordered',\r\n        payload\r\n      );\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../node_modules/babel-loader/lib/index.js!../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./ManualCheck.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../node_modules/babel-loader/lib/index.js!../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./ManualCheck.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./ManualCheck.vue?vue&type=template&id=1a685238&scoped=true\"\nimport script from \"./ManualCheck.vue?vue&type=script&lang=ts\"\nexport * from \"./ManualCheck.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./ManualCheck.vue?vue&type=style&index=0&id=1a685238&prod&scoped=true&lang=css\")\nif (style0.__inject__) style0.__inject__(context)\nvar style1 = require(\"./ManualCheck.vue?vue&type=style&index=1&id=1a685238&prod&lang=scss\")\nif (style1.__inject__) style1.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  \"1a685238\",\n  null\n  ,true\n)\n\nexport default component.exports","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".scrollbar-containter-full::-webkit-scrollbar{width:12px}.scrollbar-containter-full::-webkit-scrollbar-thumb{background-color:#8d8d8d}.scrollbar-containter::-webkit-scrollbar{width:4px}.scrollbar-containter::-webkit-scrollbar-thumb{background-color:#8d8d8d}.total-pricing{width:100%;background:#fff;border:1px solid #e0e0e0;border-bottom:none;max-height:615px;overflow:auto}.total-pricing__price-name-amount-content{display:flex;justify-content:space-between;font-size:14px!important;align-items:center;margin-bottom:4px;padding:8px 32px 8px 47px!important}.total-pricing__price-name-amount-content:not(:last-child){border-bottom:1px solid #e0e0e0}.total-pricing__price-name-amount{padding:8px 16px!important}.total-pricing__price-name-amount--paragraphs{margin:0;font-size:14px!important;font-weight:400;font-stretch:normal;font-style:normal;line-height:1.43;letter-spacing:.16px;color:#161616}.total-pricing__price-name-amount--additional-data{font-size:14px;font-weight:400;font-stretch:normal;font-style:normal;line-height:1.33;letter-spacing:.32px;color:#161616}.total-pricing__price-name-amount{display:flex;flex-direction:row;justify-content:space-between;font-size:14px!important;height:16px;align-items:center;margin-bottom:4px}.total-pricing__handling-cost{display:flex;flex-direction:row;justify-content:space-between;font-size:14px;color:#161616;padding:8px 32px 8px 47px!important;border-top:1px solid #e0e0e0}.total-pricing__handling-cost p{font-size:14px}.total-pricing .bx--accordion__content{padding:0!important;margin:0!important}.total-pricing .bx--accordion__heading{min-height:35px;height:35px;align-items:center;justify-content:stretch;border-bottom:1px solid #e0e0e0}.total-pricing .bx--accordion--start .bx--accordion__arrow{margin:3px -3px 0 3px!important;color:#525252}.hide-pricing-button{width:40px;height:40px;position:relative;display:flex;align-items:center;flex-direction:column;bottom:-10px;background:#fff;border:1px solid #e0e0e0;border-radius:50%;cursor:pointer}.title{height:40px;padding:11px 0 11px 0}.title-paragraph{font-size:14px;font-weight:700;font-stretch:normal;font-style:normal;line-height:1.29;letter-spacing:.16px;color:#161616;margin-right:8px}.first-chevron{position:relative;top:10px}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","export * from \"-!../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./SmallDetailsMultipleLogos.vue?vue&type=style&index=0&id=4f540050&prod&lang=scss\"","export * from \"-!../../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./CustomToolset.vue?vue&type=style&index=0&id=57a4bc0e&prod&lang=scss\"","/**\n * Copyright IBM Corp. 2019, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nimport { c as createSVGComponent } from '../utils-9450cd75.js';\nimport '@carbon/icon-helpers';\nimport 'vue';\n\nconst ChevronUp16 = createSVGComponent('ChevronUp16', {\n  \"xmlns\": \"http://www.w3.org/2000/svg\",\n  \"viewBox\": \"0 0 16 16\",\n  \"fill\": \"currentColor\",\n  \"width\": 16,\n  \"height\": 16\n}, [{\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M8 5L13 10 12.3 10.7 8 6.4 3.7 10.7 3 10z\"\n  }\n}]);\n\nexport { ChevronUp16 as default };\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".bx--dropdown{border-bottom:none}.bx--file__container{margin:1rem}.bx--file-browse-btn,.bx--file__selected-file,.bx--file__selected-file--invalid__wrapper{max-width:100%}.bx--file--label{margin-bottom:-.3rem}.file-uploader--disabled .bx--file__drop-container{border:1px dashed #c6c6c6}.file-uploader--disabled .bx--file-browse-btn{color:#c6c6c6;transition:none}.file-uploader--disabled .bx--file-browse-btn:focus,.file-uploader--disabled .bx--file-browse-btn:hover{color:#c6c6c6;text-decoration:none;cursor:no-drop;outline:none}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","module.exports = 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\"","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../node_modules/css-loader/dist/cjs.js??ref--7-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--7-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--7-oneOf-1-3!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./SmallDetailsConfirmation.vue?vue&type=style&index=0&id=7c26d410&prod&scoped=true&lang=css\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"c5a0cf0a\", content, shadowRoot)\n};","'use strict';\nvar fails = require('../internals/fails');\nvar isCallable = require('../internals/is-callable');\n\nvar replacement = /#|\\.prototype\\./;\n\nvar isForced = function (feature, detection) {\n  var value = data[normalize(feature)];\n  return value === POLYFILL ? true\n    : value === NATIVE ? false\n    : isCallable(detection) ? fails(detection)\n    : !!detection;\n};\n\nvar normalize = isForced.normalize = function (string) {\n  return String(string).replace(replacement, '.').toLowerCase();\n};\n\nvar data = isForced.data = {};\nvar NATIVE = isForced.NATIVE = 'N';\nvar POLYFILL = isForced.POLYFILL = 'P';\n\nmodule.exports = isForced;\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../node_modules/css-loader/dist/runtime/api.js\");\nvar ___CSS_LOADER_AT_RULE_IMPORT_0___ = require(\"-!../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!./slider.scss\");\nvar ___CSS_LOADER_AT_RULE_IMPORT_1___ = require(\"-!../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!./styles.scss\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\nexports.i(___CSS_LOADER_AT_RULE_IMPORT_0___);\nexports.i(___CSS_LOADER_AT_RULE_IMPORT_1___);\n// Module\nexports.push([module.id, \"#small-details-multiple-logos-modal{width:-moz-fit-content;width:fit-content}.multiple-small-details{padding:0!important;overflow-y:auto;height:100%;display:flex;flex-direction:column;justify-content:space-between}.custom-button{border:none;padding:12px 16px;font-size:16px;cursor:pointer;background-color:transparent}.custom-button:hover{background-color:#e5e5e5}.multiple-small-details .bx--row{margin-left:0;margin-right:0}.multiple-small-details .bx--btn-set .bx--btn{height:50px;max-width:50%;width:50%;font-size:14px}.multiple-small-details .bx--checkbox-label-text{font-size:14px}.zoom-in-out{cursor:pointer;display:flex;align-items:center;margin-left:20px}.zoom-in-out span{margin:0 5px;-webkit-user-select:none;-moz-user-select:none;user-select:none}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../../node_modules/css-loader/dist/runtime/api.js\");\nvar ___CSS_LOADER_AT_RULE_IMPORT_0___ = require(\"-!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!vue-js-modal/dist/styles.css\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\nexports.i(___CSS_LOADER_AT_RULE_IMPORT_0___);\n// Module\nexports.push([module.id, \".preview-section__download-preview-button .bx--btn__icon,.preview-section__save-concept-button .bx--btn__icon{width:20px;height:20px}.vm--container{z-index:1100}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".bx--dropdown{border-bottom:none}.w2p-text{padding:1rem;padding-top:0;padding-bottom:0}.ProseMirror{min-height:200px;max-height:400px;overflow-y:auto}#toolbar-bottom,.ProseMirror{background-color:rgba(22,22,22,.99);color:#fff}#toolbar-bottom{display:flex;justify-content:space-between}#toolbar-bottom>button:hover{background-color:#4c4c4c}#toolbar-bottom>button:first-child{color:#fff;border:1px solid hsla(0,0%,100%,.25)}#toolbar-bottom>button:nth-child(2),#toolbar-bottom>button:nth-child(3){color:#6fdc8c;font-size:14px;min-height:48px}.custom-text-editor{position:fixed;top:30%;right:5%;width:641px}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./TheApp.vue?vue&type=style&index=0&id=2dbc7914&prod&lang=scss\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"9693c342\", content, shadowRoot)\n};","'use strict';\nvar aSet = require('../internals/a-set');\nvar SetHelpers = require('../internals/set-helpers');\nvar size = require('../internals/set-size');\nvar getSetRecord = require('../internals/get-set-record');\nvar iterateSet = require('../internals/set-iterate');\nvar iterateSimple = require('../internals/iterate-simple');\n\nvar Set = SetHelpers.Set;\nvar add = SetHelpers.add;\nvar has = SetHelpers.has;\n\n// `Set.prototype.intersection` method\n// https://github.com/tc39/proposal-set-methods\nmodule.exports = function intersection(other) {\n  var O = aSet(this);\n  var otherRec = getSetRecord(other);\n  var result = new Set();\n\n  if (size(O) > otherRec.size) {\n    iterateSimple(otherRec.getIterator(), function (e) {\n      if (has(O, e)) add(result, e);\n    });\n  } else {\n    iterateSet(O, function (e) {\n      if (otherRec.includes(e)) add(result, e);\n    });\n  }\n\n  return result;\n};\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".image-panel .bx--dropdown{max-height:40px!important;height:40px!important}.image-panel .bx--dropdown-item{height:50px;font-size:14px}.image-panel .bx--dropdown-list{height:160px;width:170px}.cv-input-wrapper .bx--number__invalid{right:5.5rem}.cv-input-wrapper .bx--form-requirement{font-size:14px}.cv-input-wrapper .bx--number input{min-width:100px!important;font-size:14px;height:40px}.cv-input-wrapper .bx--number__control-btn{width:40px}.cv-input-wrapper .bx--form-item{width:100px}.cv-input-wrapper{display:inline-flex;border-bottom:1px solid #e0e0e0;margin-left:10px;margin-top:10px}.cv-input-wrapper .bx--form-item.cv-number-input:first-child{margin-right:.3rem}.cv-input-wrapper .bx--form-item.cv-number-input:last-child{margin-left:.3rem}.cv-input-wrapper .bx--number__controls{width:80px}.cv-input-wrapper .bx--label{font-size:12px}.rotation .bx--number{width:74px}.rotation .bx--number input{min-width:50px!important;padding-right:0!important;padding-left:4px!important}.rotation .bx--form-item{width:50px}.size .bx--number input{min-width:150px!important;font-size:14px!important}.image-panel .bx--accordion__title{font-weight:700!important;font-size:14px}.image-panel .bx--accordion__heading{height:52px;padding-top:16px}.image-panel .bx--accordion__item{border-top:none}.image-panel .bx--accordion__item--active{font-size:30px!important}.image-panel .bx--accordion__title:focus{font-size:30px!important;color:red!important;border:5px;border-color:red}.image-panel .bx--accordion__content{padding:0!important;margin:0!important}.image-panel-options__crop .bx--btn{height:32px}.image-panel-options__crop .bx--btn--tertiary .bx--btn__icon{height:16px;width:16px}.image-panel .bx--accordion__arrow{min-height:20px!important;min-width:20px!important}.image-panel .bx--list-box__menu-icon{width:20px;height:20px}.color-section__remove .bx--btn .bx--btn__icon{width:20px!important;height:16px!important}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".app{height:100%}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","'use strict';\n\nvar call = Function.prototype.call;\nvar $hasOwn = Object.prototype.hasOwnProperty;\nvar bind = require('function-bind');\n\n/** @type {import('.')} */\nmodule.exports = bind.call(call, $hasOwn);\n","export * from \"-!../../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PinturaSidebar.vue?vue&type=style&index=1&id=073aee35&prod&lang=scss\"","\"use strict\";\nObject.defineProperty(exports, \"__esModule\", { value: true });\nexports.vueComponentProp = void 0;\nconst util_1 = require(\"../util\");\n/**\n * Allows any Vue component instance, name or options object. No built-in runtime validation is performed by default.\n *\n * @param validator - Optional function for further runtime validation; should return `undefined` if valid, or an error string if invalid.\n */\nconst vueComponentProp = (validator) => (0, util_1.propOptionsGenerator)([Object, String], validator);\nexports.vueComponentProp = vueComponentProp;\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".flow-starter[data-v-d760b6d6]{width:320px}.flow-starter__header[data-v-d760b6d6]{display:flex;margin-top:12px;margin-left:22px}.flow-starter__title[data-v-d760b6d6]{margin-top:10px;font-size:20px;flex:100px;color:#161616;white-space:nowrap}.flow-starter__close-btn[data-v-d760b6d6]{flex:100px;display:flex;justify-content:flex-end}.bx--btn__icon[data-v-d760b6d6]{width:20px;height:20px}.bx--btn__color[data-v-d760b6d6]{color:#161616}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./Header.vue?vue&type=style&index=0&id=7cea795e&prod&lang=scss&scoped=true\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"95b76f96\", content, shadowRoot)\n};","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./DropdownItem.vue?vue&type=style&index=0&id=5f42600e&prod&lang=scss&scoped=true\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"07f1953c\", content, shadowRoot)\n};","'use strict';\nvar aSet = require('../internals/a-set');\nvar SetHelpers = require('../internals/set-helpers');\nvar clone = require('../internals/set-clone');\nvar getSetRecord = require('../internals/get-set-record');\nvar iterateSimple = require('../internals/iterate-simple');\n\nvar add = SetHelpers.add;\nvar has = SetHelpers.has;\nvar remove = SetHelpers.remove;\n\n// `Set.prototype.symmetricDifference` method\n// https://github.com/tc39/proposal-set-methods\nmodule.exports = function symmetricDifference(other) {\n  var O = aSet(this);\n  var keysIter = getSetRecord(other).getIterator();\n  var result = clone(O);\n  iterateSimple(keysIter, function (e) {\n    if (has(O, e)) remove(result, e);\n    else add(result, e);\n  });\n  return result;\n};\n","\"use strict\";\nObject.defineProperty(exports, \"__esModule\", { value: true });\nexports.oneOfObjectKeysProp = void 0;\nconst oneOf_1 = require(\"./oneOf\");\n/**\n * Allows any of the keys of the specified object (validated at runtime and compile time).\n *\n * Type parameter `T` can be used to adjust the inferred type at compile time, this is usually not necessary.\n *\n * @param object - The object whose keys are allowed.\n * @param validator - Optional function for further runtime validation; should return `undefined` if valid, or an error string if invalid.\n */\nconst oneOfObjectKeysProp = (object, validator) => (0, oneOf_1.oneOfProp)(Object.keys(object), validator);\nexports.oneOfObjectKeysProp = oneOfObjectKeysProp;\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".modal-btn[data-v-86760052]{max-width:50%!important}.bx--btn-set[data-v-86760052]{height:100%}.wizard-checkbox[data-v-86760052]{margin-left:16px}.error-notification[data-v-86760052]{position:absolute!important;right:0;top:0;height:unset}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PrintTechniqueImage.vue?vue&type=style&index=0&id=0979e9db&prod&lang=scss&scoped=true\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"09df02ac\", content, shadowRoot)\n};","\"use strict\";\nObject.defineProperty(exports, \"__esModule\", { value: true });\nexports.oneOfProp = void 0;\nconst util_1 = require(\"../util\");\nconst validators_1 = require(\"../validators\");\n// inspired by https://github.com/dwightjack/vue-types/blob/4.1.1/src/validators/oneof.ts\nconst getOneOfType = (values) => {\n    const allowedTypes = [\n        ...new Set(values.flatMap((value) => {\n            var _a;\n            if (value === null || value === undefined) {\n                return [];\n            }\n            return (\n            // eslint-disable-next-line @typescript-eslint/no-unsafe-member-access\n            (_a = value.constructor) !== null && _a !== void 0 ? _a : []);\n        })),\n    ];\n    if (allowedTypes.length === 0) {\n        return undefined;\n    }\n    if (allowedTypes.length === 1) {\n        return allowedTypes[0];\n    }\n    return allowedTypes;\n};\n/**\n * Allows any of the specified allowed values (validated at runtime and compile time).\n *\n * Type parameter `T` can be used to adjust the inferred type at compile time, this is usually not necessary.\n *\n * @param allowedValues - The allowed values.\n * @param validator - Optional function for further runtime validation; should return `undefined` if valid, or an error string if invalid.\n */\nconst oneOfProp = (allowedValues, validator) => (0, util_1.propOptionsGenerator)(getOneOfType(allowedValues), validator, (0, validators_1.isOneOf)(allowedValues));\nexports.oneOfProp = oneOfProp;\n","export * from \"-!../../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./FullDesignUploader.vue?vue&type=style&index=0&id=7368574d&prod&lang=scss\"","'use strict';\nvar DESCRIPTORS = require('../internals/descriptors');\nvar IE8_DOM_DEFINE = require('../internals/ie8-dom-define');\nvar V8_PROTOTYPE_DEFINE_BUG = require('../internals/v8-prototype-define-bug');\nvar anObject = require('../internals/an-object');\nvar toPropertyKey = require('../internals/to-property-key');\n\nvar $TypeError = TypeError;\n// eslint-disable-next-line es/no-object-defineproperty -- safe\nvar $defineProperty = Object.defineProperty;\n// eslint-disable-next-line es/no-object-getownpropertydescriptor -- safe\nvar $getOwnPropertyDescriptor = Object.getOwnPropertyDescriptor;\nvar ENUMERABLE = 'enumerable';\nvar CONFIGURABLE = 'configurable';\nvar WRITABLE = 'writable';\n\n// `Object.defineProperty` method\n// https://tc39.es/ecma262/#sec-object.defineproperty\nexports.f = DESCRIPTORS ? V8_PROTOTYPE_DEFINE_BUG ? function defineProperty(O, P, Attributes) {\n  anObject(O);\n  P = toPropertyKey(P);\n  anObject(Attributes);\n  if (typeof O === 'function' && P === 'prototype' && 'value' in Attributes && WRITABLE in Attributes && !Attributes[WRITABLE]) {\n    var current = $getOwnPropertyDescriptor(O, P);\n    if (current && current[WRITABLE]) {\n      O[P] = Attributes.value;\n      Attributes = {\n        configurable: CONFIGURABLE in Attributes ? Attributes[CONFIGURABLE] : current[CONFIGURABLE],\n        enumerable: ENUMERABLE in Attributes ? Attributes[ENUMERABLE] : current[ENUMERABLE],\n        writable: false\n      };\n    }\n  } return $defineProperty(O, P, Attributes);\n} : $defineProperty : function defineProperty(O, P, Attributes) {\n  anObject(O);\n  P = toPropertyKey(P);\n  anObject(Attributes);\n  if (IE8_DOM_DEFINE) try {\n    return $defineProperty(O, P, Attributes);\n  } catch (error) { /* empty */ }\n  if ('get' in Attributes || 'set' in Attributes) throw new $TypeError('Accessors not supported');\n  if ('value' in Attributes) O[P] = Attributes.value;\n  return O;\n};\n","export * from \"-!../../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PrintPositionBox.vue?vue&type=style&index=1&id=59834f29&prod&lang=scss&scoped=true\"","export * from \"-!../../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./ActionsPanel.vue?vue&type=style&index=0&id=90b8cca0&prod&lang=scss&scoped=true\"","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./EditArtworkDialog.vue?vue&type=style&index=0&id=6e9e83bf&prod&lang=scss&scoped=true\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"a4075622\", content, shadowRoot)\n};","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".-pcs[data-v-08cc9246]{width:47px;height:100%;font-size:14px;font-weight:400;font-stretch:normal;font-style:normal;line-height:1.29;letter-spacing:.16px;color:#161616;margin:0 2px 0 0}.bx--structured-list-td[data-v-08cc9246]{padding:6px 0!important}.bx--structured-list[data-v-08cc9246]{margin:0 16px 16px 16px;width:93%}.bx--structured-list-th[data-v-08cc9246]:first-of-type{padding:11px 0!important}.Enabled[data-v-08cc9246]{height:32px;padding:6px 8px 6px 0}.Input-text[data-v-08cc9246]{width:114px;height:18px;font-size:14px;font-weight:400;font-stretch:normal;font-style:normal;line-height:1.29;letter-spacing:.16px;color:#161616}.Oval[data-v-08cc9246]{width:20px;height:20px;border-radius:50%;margin:0 8px 0 0}.Product-variations[data-v-08cc9246]{width:119px;height:18px;font-size:14px;font-weight:700;font-stretch:normal;font-style:normal;line-height:1.29;letter-spacing:.16px;color:#161616}.Product-variations-data[data-v-08cc9246]{justify-content:space-between}.Product-color-name[data-v-08cc9246],.Product-variations-data[data-v-08cc9246]{display:flex;flex-direction:row}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","/*! https://mths.be/punycode v1.4.1 by @mathias */\n;(function(root) {\n\n\t/** Detect free variables */\n\tvar freeExports = typeof exports == 'object' && exports &&\n\t\t!exports.nodeType && exports;\n\tvar freeModule = typeof module == 'object' && module &&\n\t\t!module.nodeType && module;\n\tvar freeGlobal = typeof global == 'object' && global;\n\tif (\n\t\tfreeGlobal.global === freeGlobal ||\n\t\tfreeGlobal.window === freeGlobal ||\n\t\tfreeGlobal.self === freeGlobal\n\t) {\n\t\troot = freeGlobal;\n\t}\n\n\t/**\n\t * The `punycode` object.\n\t * @name punycode\n\t * @type Object\n\t */\n\tvar punycode,\n\n\t/** Highest positive signed 32-bit float value */\n\tmaxInt = 2147483647, // aka. 0x7FFFFFFF or 2^31-1\n\n\t/** Bootstring parameters */\n\tbase = 36,\n\ttMin = 1,\n\ttMax = 26,\n\tskew = 38,\n\tdamp = 700,\n\tinitialBias = 72,\n\tinitialN = 128, // 0x80\n\tdelimiter = '-', // '\\x2D'\n\n\t/** Regular expressions */\n\tregexPunycode = /^xn--/,\n\tregexNonASCII = /[^\\x20-\\x7E]/, // unprintable ASCII chars + non-ASCII chars\n\tregexSeparators = /[\\x2E\\u3002\\uFF0E\\uFF61]/g, // RFC 3490 separators\n\n\t/** Error messages */\n\terrors = {\n\t\t'overflow': 'Overflow: input needs wider integers to process',\n\t\t'not-basic': 'Illegal input >= 0x80 (not a basic code point)',\n\t\t'invalid-input': 'Invalid input'\n\t},\n\n\t/** Convenience shortcuts */\n\tbaseMinusTMin = base - tMin,\n\tfloor = Math.floor,\n\tstringFromCharCode = String.fromCharCode,\n\n\t/** Temporary variable */\n\tkey;\n\n\t/*--------------------------------------------------------------------------*/\n\n\t/**\n\t * A generic error utility function.\n\t * @private\n\t * @param {String} type The error type.\n\t * @returns {Error} Throws a `RangeError` with the applicable error message.\n\t */\n\tfunction error(type) {\n\t\tthrow new RangeError(errors[type]);\n\t}\n\n\t/**\n\t * A generic `Array#map` utility function.\n\t * @private\n\t * @param {Array} array The array to iterate over.\n\t * @param {Function} callback The function that gets called for every array\n\t * item.\n\t * @returns {Array} A new array of values returned by the callback function.\n\t */\n\tfunction map(array, fn) {\n\t\tvar length = array.length;\n\t\tvar result = [];\n\t\twhile (length--) {\n\t\t\tresult[length] = fn(array[length]);\n\t\t}\n\t\treturn result;\n\t}\n\n\t/**\n\t * A simple `Array#map`-like wrapper to work with domain name strings or email\n\t * addresses.\n\t * @private\n\t * @param {String} domain The domain name or email address.\n\t * @param {Function} callback The function that gets called for every\n\t * character.\n\t * @returns {Array} A new string of characters returned by the callback\n\t * function.\n\t */\n\tfunction mapDomain(string, fn) {\n\t\tvar parts = string.split('@');\n\t\tvar result = '';\n\t\tif (parts.length > 1) {\n\t\t\t// In email addresses, only the domain name should be punycoded. Leave\n\t\t\t// the local part (i.e. everything up to `@`) intact.\n\t\t\tresult = parts[0] + '@';\n\t\t\tstring = parts[1];\n\t\t}\n\t\t// Avoid `split(regex)` for IE8 compatibility. See #17.\n\t\tstring = string.replace(regexSeparators, '\\x2E');\n\t\tvar labels = string.split('.');\n\t\tvar encoded = map(labels, fn).join('.');\n\t\treturn result + encoded;\n\t}\n\n\t/**\n\t * Creates an array containing the numeric code points of each Unicode\n\t * character in the string. While JavaScript uses UCS-2 internally,\n\t * this function will convert a pair of surrogate halves (each of which\n\t * UCS-2 exposes as separate characters) into a single code point,\n\t * matching UTF-16.\n\t * @see `punycode.ucs2.encode`\n\t * @see <https://mathiasbynens.be/notes/javascript-encoding>\n\t * @memberOf punycode.ucs2\n\t * @name decode\n\t * @param {String} string The Unicode input string (UCS-2).\n\t * @returns {Array} The new array of code points.\n\t */\n\tfunction ucs2decode(string) {\n\t\tvar output = [],\n\t\t    counter = 0,\n\t\t    length = string.length,\n\t\t    value,\n\t\t    extra;\n\t\twhile (counter < length) {\n\t\t\tvalue = string.charCodeAt(counter++);\n\t\t\tif (value >= 0xD800 && value <= 0xDBFF && counter < length) {\n\t\t\t\t// high surrogate, and there is a next character\n\t\t\t\textra = string.charCodeAt(counter++);\n\t\t\t\tif ((extra & 0xFC00) == 0xDC00) { // low surrogate\n\t\t\t\t\toutput.push(((value & 0x3FF) << 10) + (extra & 0x3FF) + 0x10000);\n\t\t\t\t} else {\n\t\t\t\t\t// unmatched surrogate; only append this code unit, in case the next\n\t\t\t\t\t// code unit is the high surrogate of a surrogate pair\n\t\t\t\t\toutput.push(value);\n\t\t\t\t\tcounter--;\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\toutput.push(value);\n\t\t\t}\n\t\t}\n\t\treturn output;\n\t}\n\n\t/**\n\t * Creates a string based on an array of numeric code points.\n\t * @see `punycode.ucs2.decode`\n\t * @memberOf punycode.ucs2\n\t * @name encode\n\t * @param {Array} codePoints The array of numeric code points.\n\t * @returns {String} The new Unicode string (UCS-2).\n\t */\n\tfunction ucs2encode(array) {\n\t\treturn map(array, function(value) {\n\t\t\tvar output = '';\n\t\t\tif (value > 0xFFFF) {\n\t\t\t\tvalue -= 0x10000;\n\t\t\t\toutput += stringFromCharCode(value >>> 10 & 0x3FF | 0xD800);\n\t\t\t\tvalue = 0xDC00 | value & 0x3FF;\n\t\t\t}\n\t\t\toutput += stringFromCharCode(value);\n\t\t\treturn output;\n\t\t}).join('');\n\t}\n\n\t/**\n\t * Converts a basic code point into a digit/integer.\n\t * @see `digitToBasic()`\n\t * @private\n\t * @param {Number} codePoint The basic numeric code point value.\n\t * @returns {Number} The numeric value of a basic code point (for use in\n\t * representing integers) in the range `0` to `base - 1`, or `base` if\n\t * the code point does not represent a value.\n\t */\n\tfunction basicToDigit(codePoint) {\n\t\tif (codePoint - 48 < 10) {\n\t\t\treturn codePoint - 22;\n\t\t}\n\t\tif (codePoint - 65 < 26) {\n\t\t\treturn codePoint - 65;\n\t\t}\n\t\tif (codePoint - 97 < 26) {\n\t\t\treturn codePoint - 97;\n\t\t}\n\t\treturn base;\n\t}\n\n\t/**\n\t * Converts a digit/integer into a basic code point.\n\t * @see `basicToDigit()`\n\t * @private\n\t * @param {Number} digit The numeric value of a basic code point.\n\t * @returns {Number} The basic code point whose value (when used for\n\t * representing integers) is `digit`, which needs to be in the range\n\t * `0` to `base - 1`. If `flag` is non-zero, the uppercase form is\n\t * used; else, the lowercase form is used. The behavior is undefined\n\t * if `flag` is non-zero and `digit` has no uppercase form.\n\t */\n\tfunction digitToBasic(digit, flag) {\n\t\t//  0..25 map to ASCII a..z or A..Z\n\t\t// 26..35 map to ASCII 0..9\n\t\treturn digit + 22 + 75 * (digit < 26) - ((flag != 0) << 5);\n\t}\n\n\t/**\n\t * Bias adaptation function as per section 3.4 of RFC 3492.\n\t * https://tools.ietf.org/html/rfc3492#section-3.4\n\t * @private\n\t */\n\tfunction adapt(delta, numPoints, firstTime) {\n\t\tvar k = 0;\n\t\tdelta = firstTime ? floor(delta / damp) : delta >> 1;\n\t\tdelta += floor(delta / numPoints);\n\t\tfor (/* no initialization */; delta > baseMinusTMin * tMax >> 1; k += base) {\n\t\t\tdelta = floor(delta / baseMinusTMin);\n\t\t}\n\t\treturn floor(k + (baseMinusTMin + 1) * delta / (delta + skew));\n\t}\n\n\t/**\n\t * Converts a Punycode string of ASCII-only symbols to a string of Unicode\n\t * symbols.\n\t * @memberOf punycode\n\t * @param {String} input The Punycode string of ASCII-only symbols.\n\t * @returns {String} The resulting string of Unicode symbols.\n\t */\n\tfunction decode(input) {\n\t\t// Don't use UCS-2\n\t\tvar output = [],\n\t\t    inputLength = input.length,\n\t\t    out,\n\t\t    i = 0,\n\t\t    n = initialN,\n\t\t    bias = initialBias,\n\t\t    basic,\n\t\t    j,\n\t\t    index,\n\t\t    oldi,\n\t\t    w,\n\t\t    k,\n\t\t    digit,\n\t\t    t,\n\t\t    /** Cached calculation results */\n\t\t    baseMinusT;\n\n\t\t// Handle the basic code points: let `basic` be the number of input code\n\t\t// points before the last delimiter, or `0` if there is none, then copy\n\t\t// the first basic code points to the output.\n\n\t\tbasic = input.lastIndexOf(delimiter);\n\t\tif (basic < 0) {\n\t\t\tbasic = 0;\n\t\t}\n\n\t\tfor (j = 0; j < basic; ++j) {\n\t\t\t// if it's not a basic code point\n\t\t\tif (input.charCodeAt(j) >= 0x80) {\n\t\t\t\terror('not-basic');\n\t\t\t}\n\t\t\toutput.push(input.charCodeAt(j));\n\t\t}\n\n\t\t// Main decoding loop: start just after the last delimiter if any basic code\n\t\t// points were copied; start at the beginning otherwise.\n\n\t\tfor (index = basic > 0 ? basic + 1 : 0; index < inputLength; /* no final expression */) {\n\n\t\t\t// `index` is the index of the next character to be consumed.\n\t\t\t// Decode a generalized variable-length integer into `delta`,\n\t\t\t// which gets added to `i`. The overflow checking is easier\n\t\t\t// if we increase `i` as we go, then subtract off its starting\n\t\t\t// value at the end to obtain `delta`.\n\t\t\tfor (oldi = i, w = 1, k = base; /* no condition */; k += base) {\n\n\t\t\t\tif (index >= inputLength) {\n\t\t\t\t\terror('invalid-input');\n\t\t\t\t}\n\n\t\t\t\tdigit = basicToDigit(input.charCodeAt(index++));\n\n\t\t\t\tif (digit >= base || digit > floor((maxInt - i) / w)) {\n\t\t\t\t\terror('overflow');\n\t\t\t\t}\n\n\t\t\t\ti += digit * w;\n\t\t\t\tt = k <= bias ? tMin : (k >= bias + tMax ? tMax : k - bias);\n\n\t\t\t\tif (digit < t) {\n\t\t\t\t\tbreak;\n\t\t\t\t}\n\n\t\t\t\tbaseMinusT = base - t;\n\t\t\t\tif (w > floor(maxInt / baseMinusT)) {\n\t\t\t\t\terror('overflow');\n\t\t\t\t}\n\n\t\t\t\tw *= baseMinusT;\n\n\t\t\t}\n\n\t\t\tout = output.length + 1;\n\t\t\tbias = adapt(i - oldi, out, oldi == 0);\n\n\t\t\t// `i` was supposed to wrap around from `out` to `0`,\n\t\t\t// incrementing `n` each time, so we'll fix that now:\n\t\t\tif (floor(i / out) > maxInt - n) {\n\t\t\t\terror('overflow');\n\t\t\t}\n\n\t\t\tn += floor(i / out);\n\t\t\ti %= out;\n\n\t\t\t// Insert `n` at position `i` of the output\n\t\t\toutput.splice(i++, 0, n);\n\n\t\t}\n\n\t\treturn ucs2encode(output);\n\t}\n\n\t/**\n\t * Converts a string of Unicode symbols (e.g. a domain name label) to a\n\t * Punycode string of ASCII-only symbols.\n\t * @memberOf punycode\n\t * @param {String} input The string of Unicode symbols.\n\t * @returns {String} The resulting Punycode string of ASCII-only symbols.\n\t */\n\tfunction encode(input) {\n\t\tvar n,\n\t\t    delta,\n\t\t    handledCPCount,\n\t\t    basicLength,\n\t\t    bias,\n\t\t    j,\n\t\t    m,\n\t\t    q,\n\t\t    k,\n\t\t    t,\n\t\t    currentValue,\n\t\t    output = [],\n\t\t    /** `inputLength` will hold the number of code points in `input`. */\n\t\t    inputLength,\n\t\t    /** Cached calculation results */\n\t\t    handledCPCountPlusOne,\n\t\t    baseMinusT,\n\t\t    qMinusT;\n\n\t\t// Convert the input in UCS-2 to Unicode\n\t\tinput = ucs2decode(input);\n\n\t\t// Cache the length\n\t\tinputLength = input.length;\n\n\t\t// Initialize the state\n\t\tn = initialN;\n\t\tdelta = 0;\n\t\tbias = initialBias;\n\n\t\t// Handle the basic code points\n\t\tfor (j = 0; j < inputLength; ++j) {\n\t\t\tcurrentValue = input[j];\n\t\t\tif (currentValue < 0x80) {\n\t\t\t\toutput.push(stringFromCharCode(currentValue));\n\t\t\t}\n\t\t}\n\n\t\thandledCPCount = basicLength = output.length;\n\n\t\t// `handledCPCount` is the number of code points that have been handled;\n\t\t// `basicLength` is the number of basic code points.\n\n\t\t// Finish the basic string - if it is not empty - with a delimiter\n\t\tif (basicLength) {\n\t\t\toutput.push(delimiter);\n\t\t}\n\n\t\t// Main encoding loop:\n\t\twhile (handledCPCount < inputLength) {\n\n\t\t\t// All non-basic code points < n have been handled already. Find the next\n\t\t\t// larger one:\n\t\t\tfor (m = maxInt, j = 0; j < inputLength; ++j) {\n\t\t\t\tcurrentValue = input[j];\n\t\t\t\tif (currentValue >= n && currentValue < m) {\n\t\t\t\t\tm = currentValue;\n\t\t\t\t}\n\t\t\t}\n\n\t\t\t// Increase `delta` enough to advance the decoder's <n,i> state to <m,0>,\n\t\t\t// but guard against overflow\n\t\t\thandledCPCountPlusOne = handledCPCount + 1;\n\t\t\tif (m - n > floor((maxInt - delta) / handledCPCountPlusOne)) {\n\t\t\t\terror('overflow');\n\t\t\t}\n\n\t\t\tdelta += (m - n) * handledCPCountPlusOne;\n\t\t\tn = m;\n\n\t\t\tfor (j = 0; j < inputLength; ++j) {\n\t\t\t\tcurrentValue = input[j];\n\n\t\t\t\tif (currentValue < n && ++delta > maxInt) {\n\t\t\t\t\terror('overflow');\n\t\t\t\t}\n\n\t\t\t\tif (currentValue == n) {\n\t\t\t\t\t// Represent delta as a generalized variable-length integer\n\t\t\t\t\tfor (q = delta, k = base; /* no condition */; k += base) {\n\t\t\t\t\t\tt = k <= bias ? tMin : (k >= bias + tMax ? tMax : k - bias);\n\t\t\t\t\t\tif (q < t) {\n\t\t\t\t\t\t\tbreak;\n\t\t\t\t\t\t}\n\t\t\t\t\t\tqMinusT = q - t;\n\t\t\t\t\t\tbaseMinusT = base - t;\n\t\t\t\t\t\toutput.push(\n\t\t\t\t\t\t\tstringFromCharCode(digitToBasic(t + qMinusT % baseMinusT, 0))\n\t\t\t\t\t\t);\n\t\t\t\t\t\tq = floor(qMinusT / baseMinusT);\n\t\t\t\t\t}\n\n\t\t\t\t\toutput.push(stringFromCharCode(digitToBasic(q, 0)));\n\t\t\t\t\tbias = adapt(delta, handledCPCountPlusOne, handledCPCount == basicLength);\n\t\t\t\t\tdelta = 0;\n\t\t\t\t\t++handledCPCount;\n\t\t\t\t}\n\t\t\t}\n\n\t\t\t++delta;\n\t\t\t++n;\n\n\t\t}\n\t\treturn output.join('');\n\t}\n\n\t/**\n\t * Converts a Punycode string representing a domain name or an email address\n\t * to Unicode. Only the Punycoded parts of the input will be converted, i.e.\n\t * it doesn't matter if you call it on a string that has already been\n\t * converted to Unicode.\n\t * @memberOf punycode\n\t * @param {String} input The Punycoded domain name or email address to\n\t * convert to Unicode.\n\t * @returns {String} The Unicode representation of the given Punycode\n\t * string.\n\t */\n\tfunction toUnicode(input) {\n\t\treturn mapDomain(input, function(string) {\n\t\t\treturn regexPunycode.test(string)\n\t\t\t\t? decode(string.slice(4).toLowerCase())\n\t\t\t\t: string;\n\t\t});\n\t}\n\n\t/**\n\t * Converts a Unicode string representing a domain name or an email address to\n\t * Punycode. Only the non-ASCII parts of the domain name will be converted,\n\t * i.e. it doesn't matter if you call it with a domain that's already in\n\t * ASCII.\n\t * @memberOf punycode\n\t * @param {String} input The domain name or email address to convert, as a\n\t * Unicode string.\n\t * @returns {String} The Punycode representation of the given domain name or\n\t * email address.\n\t */\n\tfunction toASCII(input) {\n\t\treturn mapDomain(input, function(string) {\n\t\t\treturn regexNonASCII.test(string)\n\t\t\t\t? 'xn--' + encode(string)\n\t\t\t\t: string;\n\t\t});\n\t}\n\n\t/*--------------------------------------------------------------------------*/\n\n\t/** Define the public API */\n\tpunycode = {\n\t\t/**\n\t\t * A string representing the current Punycode.js version number.\n\t\t * @memberOf punycode\n\t\t * @type String\n\t\t */\n\t\t'version': '1.4.1',\n\t\t/**\n\t\t * An object of methods to convert from JavaScript's internal character\n\t\t * representation (UCS-2) to Unicode code points, and back.\n\t\t * @see <https://mathiasbynens.be/notes/javascript-encoding>\n\t\t * @memberOf punycode\n\t\t * @type Object\n\t\t */\n\t\t'ucs2': {\n\t\t\t'decode': ucs2decode,\n\t\t\t'encode': ucs2encode\n\t\t},\n\t\t'decode': decode,\n\t\t'encode': encode,\n\t\t'toASCII': toASCII,\n\t\t'toUnicode': toUnicode\n\t};\n\n\t/** Expose `punycode` */\n\t// Some AMD build optimizers, like r.js, check for specific condition patterns\n\t// like the following:\n\tif (\n\t\ttypeof define == 'function' &&\n\t\ttypeof define.amd == 'object' &&\n\t\tdefine.amd\n\t) {\n\t\tdefine('punycode', function() {\n\t\t\treturn punycode;\n\t\t});\n\t} else if (freeExports && freeModule) {\n\t\tif (module.exports == freeExports) {\n\t\t\t// in Node.js, io.js, or RingoJS v0.8.0+\n\t\t\tfreeModule.exports = punycode;\n\t\t} else {\n\t\t\t// in Narwhal or RingoJS v0.7.0-\n\t\t\tfor (key in punycode) {\n\t\t\t\tpunycode.hasOwnProperty(key) && (freeExports[key] = punycode[key]);\n\t\t\t}\n\t\t}\n\t} else {\n\t\t// in Rhino or a web browser\n\t\troot.punycode = punycode;\n\t}\n\n}(this));\n","'use strict';\n\nvar utils = require('./utils');\n\nvar has = Object.prototype.hasOwnProperty;\nvar isArray = Array.isArray;\n\nvar defaults = {\n    allowDots: false,\n    allowEmptyArrays: false,\n    allowPrototypes: false,\n    allowSparse: false,\n    arrayLimit: 20,\n    charset: 'utf-8',\n    charsetSentinel: false,\n    comma: false,\n    decodeDotInKeys: false,\n    decoder: utils.decode,\n    delimiter: '&',\n    depth: 5,\n    duplicates: 'combine',\n    ignoreQueryPrefix: false,\n    interpretNumericEntities: false,\n    parameterLimit: 1000,\n    parseArrays: true,\n    plainObjects: false,\n    strictNullHandling: false\n};\n\nvar interpretNumericEntities = function (str) {\n    return str.replace(/&#(\\d+);/g, function ($0, numberStr) {\n        return String.fromCharCode(parseInt(numberStr, 10));\n    });\n};\n\nvar parseArrayValue = function (val, options) {\n    if (val && typeof val === 'string' && options.comma && val.indexOf(',') > -1) {\n        return val.split(',');\n    }\n\n    return val;\n};\n\n// This is what browsers will submit when the ✓ character occurs in an\n// application/x-www-form-urlencoded body and the encoding of the page containing\n// the form is iso-8859-1, or when the submitted form has an accept-charset\n// attribute of iso-8859-1. Presumably also with other charsets that do not contain\n// the ✓ character, such as us-ascii.\nvar isoSentinel = 'utf8=%26%2310003%3B'; // encodeURIComponent('&#10003;')\n\n// These are the percent-encoded utf-8 octets representing a checkmark, indicating that the request actually is utf-8 encoded.\nvar charsetSentinel = 'utf8=%E2%9C%93'; // encodeURIComponent('✓')\n\nvar parseValues = function parseQueryStringValues(str, options) {\n    var obj = { __proto__: null };\n\n    var cleanStr = options.ignoreQueryPrefix ? str.replace(/^\\?/, '') : str;\n    var limit = options.parameterLimit === Infinity ? undefined : options.parameterLimit;\n    var parts = cleanStr.split(options.delimiter, limit);\n    var skipIndex = -1; // Keep track of where the utf8 sentinel was found\n    var i;\n\n    var charset = options.charset;\n    if (options.charsetSentinel) {\n        for (i = 0; i < parts.length; ++i) {\n            if (parts[i].indexOf('utf8=') === 0) {\n                if (parts[i] === charsetSentinel) {\n                    charset = 'utf-8';\n                } else if (parts[i] === isoSentinel) {\n                    charset = 'iso-8859-1';\n                }\n                skipIndex = i;\n                i = parts.length; // The eslint settings do not allow break;\n            }\n        }\n    }\n\n    for (i = 0; i < parts.length; ++i) {\n        if (i === skipIndex) {\n            continue;\n        }\n        var part = parts[i];\n\n        var bracketEqualsPos = part.indexOf(']=');\n        var pos = bracketEqualsPos === -1 ? part.indexOf('=') : bracketEqualsPos + 1;\n\n        var key, val;\n        if (pos === -1) {\n            key = options.decoder(part, defaults.decoder, charset, 'key');\n            val = options.strictNullHandling ? null : '';\n        } else {\n            key = options.decoder(part.slice(0, pos), defaults.decoder, charset, 'key');\n            val = utils.maybeMap(\n                parseArrayValue(part.slice(pos + 1), options),\n                function (encodedVal) {\n                    return options.decoder(encodedVal, defaults.decoder, charset, 'value');\n                }\n            );\n        }\n\n        if (val && options.interpretNumericEntities && charset === 'iso-8859-1') {\n            val = interpretNumericEntities(val);\n        }\n\n        if (part.indexOf('[]=') > -1) {\n            val = isArray(val) ? [val] : val;\n        }\n\n        var existing = has.call(obj, key);\n        if (existing && options.duplicates === 'combine') {\n            obj[key] = utils.combine(obj[key], val);\n        } else if (!existing || options.duplicates === 'last') {\n            obj[key] = val;\n        }\n    }\n\n    return obj;\n};\n\nvar parseObject = function (chain, val, options, valuesParsed) {\n    var leaf = valuesParsed ? val : parseArrayValue(val, options);\n\n    for (var i = chain.length - 1; i >= 0; --i) {\n        var obj;\n        var root = chain[i];\n\n        if (root === '[]' && options.parseArrays) {\n            obj = options.allowEmptyArrays && leaf === '' ? [] : [].concat(leaf);\n        } else {\n            obj = options.plainObjects ? Object.create(null) : {};\n            var cleanRoot = root.charAt(0) === '[' && root.charAt(root.length - 1) === ']' ? root.slice(1, -1) : root;\n            var decodedRoot = options.decodeDotInKeys ? cleanRoot.replace(/%2E/g, '.') : cleanRoot;\n            var index = parseInt(decodedRoot, 10);\n            if (!options.parseArrays && decodedRoot === '') {\n                obj = { 0: leaf };\n            } else if (\n                !isNaN(index)\n                && root !== decodedRoot\n                && String(index) === decodedRoot\n                && index >= 0\n                && (options.parseArrays && index <= options.arrayLimit)\n            ) {\n                obj = [];\n                obj[index] = leaf;\n            } else if (decodedRoot !== '__proto__') {\n                obj[decodedRoot] = leaf;\n            }\n        }\n\n        leaf = obj;\n    }\n\n    return leaf;\n};\n\nvar parseKeys = function parseQueryStringKeys(givenKey, val, options, valuesParsed) {\n    if (!givenKey) {\n        return;\n    }\n\n    // Transform dot notation to bracket notation\n    var key = options.allowDots ? givenKey.replace(/\\.([^.[]+)/g, '[$1]') : givenKey;\n\n    // The regex chunks\n\n    var brackets = /(\\[[^[\\]]*])/;\n    var child = /(\\[[^[\\]]*])/g;\n\n    // Get the parent\n\n    var segment = options.depth > 0 && brackets.exec(key);\n    var parent = segment ? key.slice(0, segment.index) : key;\n\n    // Stash the parent if it exists\n\n    var keys = [];\n    if (parent) {\n        // If we aren't using plain objects, optionally prefix keys that would overwrite object prototype properties\n        if (!options.plainObjects && has.call(Object.prototype, parent)) {\n            if (!options.allowPrototypes) {\n                return;\n            }\n        }\n\n        keys.push(parent);\n    }\n\n    // Loop through children appending to the array until we hit depth\n\n    var i = 0;\n    while (options.depth > 0 && (segment = child.exec(key)) !== null && i < options.depth) {\n        i += 1;\n        if (!options.plainObjects && has.call(Object.prototype, segment[1].slice(1, -1))) {\n            if (!options.allowPrototypes) {\n                return;\n            }\n        }\n        keys.push(segment[1]);\n    }\n\n    // If there's a remainder, just add whatever is left\n\n    if (segment) {\n        keys.push('[' + key.slice(segment.index) + ']');\n    }\n\n    return parseObject(keys, val, options, valuesParsed);\n};\n\nvar normalizeParseOptions = function normalizeParseOptions(opts) {\n    if (!opts) {\n        return defaults;\n    }\n\n    if (typeof opts.allowEmptyArrays !== 'undefined' && typeof opts.allowEmptyArrays !== 'boolean') {\n        throw new TypeError('`allowEmptyArrays` option can only be `true` or `false`, when provided');\n    }\n\n    if (typeof opts.decodeDotInKeys !== 'undefined' && typeof opts.decodeDotInKeys !== 'boolean') {\n        throw new TypeError('`decodeDotInKeys` option can only be `true` or `false`, when provided');\n    }\n\n    if (opts.decoder !== null && typeof opts.decoder !== 'undefined' && typeof opts.decoder !== 'function') {\n        throw new TypeError('Decoder has to be a function.');\n    }\n\n    if (typeof opts.charset !== 'undefined' && opts.charset !== 'utf-8' && opts.charset !== 'iso-8859-1') {\n        throw new TypeError('The charset option must be either utf-8, iso-8859-1, or undefined');\n    }\n    var charset = typeof opts.charset === 'undefined' ? defaults.charset : opts.charset;\n\n    var duplicates = typeof opts.duplicates === 'undefined' ? defaults.duplicates : opts.duplicates;\n\n    if (duplicates !== 'combine' && duplicates !== 'first' && duplicates !== 'last') {\n        throw new TypeError('The duplicates option must be either combine, first, or last');\n    }\n\n    var allowDots = typeof opts.allowDots === 'undefined' ? opts.decodeDotInKeys === true ? true : defaults.allowDots : !!opts.allowDots;\n\n    return {\n        allowDots: allowDots,\n        allowEmptyArrays: typeof opts.allowEmptyArrays === 'boolean' ? !!opts.allowEmptyArrays : defaults.allowEmptyArrays,\n        allowPrototypes: typeof opts.allowPrototypes === 'boolean' ? opts.allowPrototypes : defaults.allowPrototypes,\n        allowSparse: typeof opts.allowSparse === 'boolean' ? opts.allowSparse : defaults.allowSparse,\n        arrayLimit: typeof opts.arrayLimit === 'number' ? opts.arrayLimit : defaults.arrayLimit,\n        charset: charset,\n        charsetSentinel: typeof opts.charsetSentinel === 'boolean' ? opts.charsetSentinel : defaults.charsetSentinel,\n        comma: typeof opts.comma === 'boolean' ? opts.comma : defaults.comma,\n        decodeDotInKeys: typeof opts.decodeDotInKeys === 'boolean' ? opts.decodeDotInKeys : defaults.decodeDotInKeys,\n        decoder: typeof opts.decoder === 'function' ? opts.decoder : defaults.decoder,\n        delimiter: typeof opts.delimiter === 'string' || utils.isRegExp(opts.delimiter) ? opts.delimiter : defaults.delimiter,\n        // eslint-disable-next-line no-implicit-coercion, no-extra-parens\n        depth: (typeof opts.depth === 'number' || opts.depth === false) ? +opts.depth : defaults.depth,\n        duplicates: duplicates,\n        ignoreQueryPrefix: opts.ignoreQueryPrefix === true,\n        interpretNumericEntities: typeof opts.interpretNumericEntities === 'boolean' ? opts.interpretNumericEntities : defaults.interpretNumericEntities,\n        parameterLimit: typeof opts.parameterLimit === 'number' ? opts.parameterLimit : defaults.parameterLimit,\n        parseArrays: opts.parseArrays !== false,\n        plainObjects: typeof opts.plainObjects === 'boolean' ? opts.plainObjects : defaults.plainObjects,\n        strictNullHandling: typeof opts.strictNullHandling === 'boolean' ? opts.strictNullHandling : defaults.strictNullHandling\n    };\n};\n\nmodule.exports = function (str, opts) {\n    var options = normalizeParseOptions(opts);\n\n    if (str === '' || str === null || typeof str === 'undefined') {\n        return options.plainObjects ? Object.create(null) : {};\n    }\n\n    var tempObj = typeof str === 'string' ? parseValues(str, options) : str;\n    var obj = options.plainObjects ? Object.create(null) : {};\n\n    // Iterate over the keys and setup the new object\n\n    var keys = Object.keys(tempObj);\n    for (var i = 0; i < keys.length; ++i) {\n        var key = keys[i];\n        var newObj = parseKeys(key, tempObj[key], options, typeof str === 'string');\n        obj = utils.merge(obj, newObj, options);\n    }\n\n    if (options.allowSparse === true) {\n        return obj;\n    }\n\n    return utils.compact(obj);\n};\n","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./TheApp.vue?vue&type=style&index=1&id=497fc83a&prod&lang=scss\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"c52aea62\", content, shadowRoot)\n};","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./ManualCheck.vue?vue&type=style&index=0&id=4b35cd64&prod&lang=scss&scoped=true\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"0a583bf6\", content, shadowRoot)\n};","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".small-detail-confirmation .bx--checkbox-label-text{font-size:14px!important}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","/**\n * Copyright IBM Corp. 2019, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nimport { c as createSVGComponent } from '../utils-9450cd75.js';\nimport '@carbon/icon-helpers';\nimport 'vue';\n\nconst Image16 = createSVGComponent('Image16', {\n  \"xmlns\": \"http://www.w3.org/2000/svg\",\n  \"viewBox\": \"0 0 32 32\",\n  \"fill\": \"currentColor\",\n  \"width\": 16,\n  \"height\": 16\n}, [{\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M19,14a3,3,0,1,0-3-3A3,3,0,0,0,19,14Zm0-4a1,1,0,1,1-1,1A1,1,0,0,1,19,10Z\"\n  }\n}, {\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M26,4H6A2,2,0,0,0,4,6V26a2,2,0,0,0,2,2H26a2,2,0,0,0,2-2V6A2,2,0,0,0,26,4Zm0,22H6V20l5-5,5.59,5.59a2,2,0,0,0,2.82,0L21,19l5,5Zm0-4.83-3.59-3.59a2,2,0,0,0-2.82,0L18,19.17l-5.59-5.59a2,2,0,0,0-2.82,0L6,17.17V6H26Z\"\n  }\n}]);\n\nexport { Image16 as default };\n","'use strict';\nvar toPrimitive = require('../internals/to-primitive');\nvar isSymbol = require('../internals/is-symbol');\n\n// `ToPropertyKey` abstract operation\n// https://tc39.es/ecma262/#sec-topropertykey\nmodule.exports = function (argument) {\n  var key = toPrimitive(argument, 'string');\n  return isSymbol(key) ? key : key + '';\n};\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".pintura-sticker-editor{--editor-modal-overlay-opacity:0.65;--editor-modal-border-radius:1.5rem;--editor-max-width:48%;--editor-max-height:50%}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./EmptyPrintPosition.vue?vue&type=style&index=0&id=1a10fa85&prod&lang=scss&scoped=true\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"9fa8df34\", content, shadowRoot)\n};","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('div',{staticClass:\"container\"},[_c('div',{directives:[{name:\"on-clickaway\",rawName:\"v-on-clickaway\",value:(_vm.onClickAway),expression:\"onClickAway\"}],class:`${\n      _vm.theme == 'Dark'\n        ? _vm.isOpen\n          ? 'toggler-dark--green-outline'\n          : 'toggler-dark'\n        : _vm.isOpen\n        ? 'toggler--green-outline'\n        : 'toggler'\n    }`,on:{\"click\":(e) => _vm.toggleDropdown(e.target.classList)}},[_c('div',{staticClass:\"oval\",class:`${_vm.theme == 'Dark' ? 'oval-dark' : 'oval'}`,style:({\n        backgroundColor: `rgb(${_vm.selectedColor.red}, ${_vm.selectedColor.green}, ${_vm.selectedColor.blue})`,\n      })}),_c('span',{staticClass:\"toggler__label\"},[_vm._v(\" \"+_vm._s(_vm.selectedColor.name)+\" \")]),(!_vm.isOpen)?_c('ChevronDown',{staticClass:\"arrow\"}):_vm._e(),(_vm.isOpen)?_c('ChevronUp',{staticClass:\"arrow\"}):_vm._e()],1),_c('ul',{class:`${_vm.theme == 'Dark' ? 'dropdown-items-dark' : 'dropdown-items'}`,style:({\n      visibility: _vm.isOpen ? 'visible' : 'hidden',\n    }),attrs:{\"tabindex\":\"0\"}},[_c('input',{directives:[{name:\"show\",rawName:\"v-show\",value:(_vm.isOpen),expression:\"isOpen\"},{name:\"model\",rawName:\"v-model\",value:(_vm.inputValue),expression:\"inputValue\"}],ref:\"searchColor\",class:`${\n        _vm.theme == 'Dark'\n          ? 'toggler-dark__search-box dropdown-item-dark'\n          : 'toggler__search-box dropdown-item'\n      }`,attrs:{\"type\":\"text\",\"placeholder\":_vm.$t('sidebar.search-color')},domProps:{\"value\":(_vm.inputValue)},on:{\"input\":function($event){if($event.target.composing)return;_vm.inputValue=$event.target.value}}}),_vm._l((_vm.sortedList),function(c){return _c('li',{key:c.name,class:`${_vm.theme == 'Dark' ? 'dropdown-item-dark' : 'dropdown-item'}`,on:{\"click\":function($event){return _vm.replaceWith(c.name)}}},[_c('div',{class:`${_vm.theme == 'Dark' ? 'oval-dark' : 'oval'}`,style:({\n          backgroundColor: `rgb(${c.red}, ${c.green}, ${c.blue})`,\n        })}),_c('span',{staticClass:\"dropdown-item__name\"},[_vm._v(\" \"+_vm._s(c.name))])])})],2)])\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","\r\nimport Vue from 'vue';\r\nimport ChevronUp from '@carbon/icons-vue/es/chevron--up/16';\r\nimport ChevronDown from '@carbon/icons-vue/es/chevron--down/16';\r\nimport { mixin as clickaway } from 'vue-clickaway';\r\nimport { PmsColor } from '@midocean/webapps-shared-domain';\r\n\r\nexport default Vue.extend({\r\n  name: 'ColorManagement',\r\n  components: {\r\n    ChevronDown,\r\n    ChevronUp,\r\n  },\r\n  props: {\r\n    selectedColor: {\r\n      type: Object as () => PmsColor,\r\n      required: true,\r\n    },\r\n    itemList: {\r\n      type: Array as () => PmsColor[],\r\n      required: true,\r\n    },\r\n    theme: {\r\n      type: String,\r\n      required: false,\r\n    },\r\n  },\r\n  mixins: [clickaway],\r\n  data() {\r\n    return {\r\n      isOpen: false,\r\n      inputValue: this.selectedColor.name,\r\n      sortedList: this.itemList,\r\n    };\r\n  },\r\n  watch: {\r\n    inputValue(newValue) {\r\n      if (this.isOpen) {\r\n        this.sortItems(newValue.toLowerCase());\r\n      }\r\n    },\r\n  },\r\n  methods: {\r\n    toggleDropdown(classList: DOMTokenList) {\r\n      if (!classList.contains('toggler__search-box')) {\r\n        this.isOpen = !this.isOpen;\r\n        if (this.isOpen === false) {\r\n          this.sortedList = this.itemList;\r\n          this.inputValue = this.selectedColor.name;\r\n        } else {\r\n          const searchRef = this.$refs.searchColor as any;\r\n          this.$nextTick(() => searchRef.focus());\r\n          this.inputValue = '';\r\n        }\r\n      }\r\n    },\r\n    onClickAway() {\r\n      this.isOpen = false;\r\n      this.sortedList = this.itemList;\r\n      this.inputValue = this.selectedColor.name;\r\n    },\r\n    sortItems(value: string) {\r\n      this.sortedList = this.itemList.filter((c) =>\r\n        c.name.toLowerCase().includes(value)\r\n      );\r\n    },\r\n    replaceWith(colorName: string) {\r\n      this.$emit('replace-with', colorName);\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../../../../node_modules/babel-loader/lib/index.js!../../../../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./ColorDropdown.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../../../../node_modules/babel-loader/lib/index.js!../../../../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./ColorDropdown.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./ColorDropdown.vue?vue&type=template&id=4edcd140&scoped=true\"\nimport script from \"./ColorDropdown.vue?vue&type=script&lang=ts\"\nexport * from \"./ColorDropdown.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./ColorDropdown.vue?vue&type=style&index=0&id=4edcd140&prod&lang=scss&scoped=true\")\nif (style0.__inject__) style0.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  \"4edcd140\",\n  null\n  ,true\n)\n\nexport default component.exports","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./NotificationsHeader.vue?vue&type=style&index=0&id=62678cad&prod&lang=scss&scoped=true\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"858da13c\", content, shadowRoot)\n};","var VueModule = require('vue')\n\n// get the real Vue https://github.com/vueuse/vue-demi/issues/192\nvar Vue = VueModule.default || VueModule\n\nexports.Vue = Vue\nexports.Vue2 = Vue\nexports.isVue2 = true\nexports.isVue3 = false\nexports.install = function () {}\nexports.warn = Vue.util.warn\n\n// createApp polyfill\nexports.createApp = function (rootComponent, rootProps) {\n  var vm\n  var provide = {}\n  var app = {\n    config: Vue.config,\n    use: Vue.use.bind(Vue),\n    mixin: Vue.mixin.bind(Vue),\n    component: Vue.component.bind(Vue),\n    provide: function (key, value) {\n      provide[key] = value\n      return this\n    },\n    directive: function (name, dir) {\n      if (dir) {\n        Vue.directive(name, dir)\n        return app\n      } else {\n        return Vue.directive(name)\n      }\n    },\n    mount: function (el, hydrating) {\n      if (!vm) {\n        vm = new Vue(Object.assign({ propsData: rootProps }, rootComponent, { provide: Object.assign(provide, rootComponent.provide) }))\n        vm.$mount(el, hydrating)\n        return vm\n      } else {\n        return vm\n      }\n    },\n    unmount: function () {\n      if (vm) {\n        vm.$destroy()\n        vm = undefined\n      }\n    },\n  }\n  return app\n}\n\nObject.keys(VueModule).forEach(function (key) {\n  exports[key] = VueModule[key]\n})\n\n// Not implemented https://github.com/vuejs/core/pull/8111, falls back to getCurrentInstance()\nexports.hasInjectionContext = function() {\n  return !!VueModule.getCurrentInstance()\n}","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \"p[data-v-72c15752]{color:#fff;font-size:16px}.cv-header.bx--header[data-v-72c15752]{position:relative;background-color:#393939;height:48px;z-index:1}.cv-header-name.bx--header__name[data-v-72c15752]{border-right:1px solid #000;padding:16px;margin-right:10px;cursor:pointer}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./ClosedNotifications.vue?vue&type=style&index=0&id=6e8e97bd&prod&lang=scss&scoped=true\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"156349b3\", content, shadowRoot)\n};","export * from \"-!../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PrintPositionsManagerFooter.vue?vue&type=style&index=0&id=28dccb76&prod&lang=scss\"","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".bx--dropdown{border-bottom:none}.print-technique{display:flex;flex-direction:column;justify-content:space-between;padding:1rem 1rem 0 1rem;border-right:1px solid #f4f4f4;border-left:1px solid #f4f4f4;flex:1;width:20%;overflow:hidden;max-width:200px}.print-technique--enabled{background-color:#fff}.print-technique-radios{margin-top:30px}.print-technique-radios .bx--radio-button__label{font-size:14px}.print-technique-deselect{font-size:15px}.technique_max-colours{margin-top:1px;margin-bottom:1rem;margin-left:1.8rem;font-size:12px;color:#6f6f6f}.technique_max-colours--disabled{color:#c6c6c6}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","'use strict';\n\nvar Validator = module.exports.Validator = require('./validator');\n\nmodule.exports.ValidatorResult = require('./helpers').ValidatorResult;\nmodule.exports.ValidatorResultError = require('./helpers').ValidatorResultError;\nmodule.exports.ValidationError = require('./helpers').ValidationError;\nmodule.exports.SchemaError = require('./helpers').SchemaError;\nmodule.exports.SchemaScanResult = require('./scan').SchemaScanResult;\nmodule.exports.scan = require('./scan').scan;\n\nmodule.exports.validate = function (instance, schema, options) {\n  var v = new Validator();\n  return v.validate(instance, schema, options);\n};\n","import { defineStore } from 'pinia';\r\nimport { textShapes, nonTextShapes, useStore as useShapeStore } from './shape';\r\nimport { useStore as useProductStore } from './product';\r\nimport _findIndex from 'lodash.findindex';\r\n\r\nimport {\r\n  LogoShape,\r\n  TextShape,\r\n} from '@/web-components/import-wizard-v2/typings/common';\r\nimport FileService from '@/services/FileService';\r\nimport { PmsColor } from '@midocean/webapps-shared-domain';\r\nimport { useStore as useMirrorStore } from './mirror';\r\nimport { base64StringToBlob } from 'blob-util';\r\n\r\nexport const useStore = defineStore({\r\n  id: 'colorManagement',\r\n\r\n  state: () => {\r\n    return {\r\n      pmsColorsInUse: [] as PmsColor[],\r\n      availablePmsColors: [] as PmsColor[],\r\n      lastPalette: '',\r\n    };\r\n  },\r\n\r\n  actions: {\r\n    getPmsColorsOnPrintPosition(): PmsColor[] {\r\n      const shapeStore = useShapeStore();\r\n      const productStore = useProductStore();\r\n\r\n      const shapes = shapeStore.shapes;\r\n\r\n      const nonTextPrintPositionShapes = shapes\r\n        .filter((shape) =>\r\n          shapeStore.positionShapeMap.some(\r\n            (psm) =>\r\n              psm.id === productStore.selectedPrintPosition.id &&\r\n              psm.logoId === shape.id\r\n          )\r\n        )\r\n        .filter(nonTextShapes) as LogoShape[];\r\n\r\n      const allPmsColorsInArtworks = nonTextPrintPositionShapes.reduce<\r\n        PmsColor[]\r\n      >((prev, curr) => {\r\n        return [...prev, ...curr.pmsColorsInPngFile];\r\n      }, []);\r\n\r\n      const textPrintPositionShapes = shapes\r\n        .filter((shape) =>\r\n          shapeStore.positionShapeMap.some(\r\n            (psm) =>\r\n              psm.id === productStore.selectedPrintPosition.id &&\r\n              psm.logoId === shape.id\r\n          )\r\n        )\r\n        .filter(textShapes) as TextShape[];\r\n\r\n      const textPmsColors =\r\n        this.availablePmsColors.length > 0\r\n          ? textPrintPositionShapes.map((text) => {\r\n              return this.availablePmsColors.find(\r\n                (c) => c.name === text.w2pText.colorName\r\n              ) as PmsColor;\r\n            })\r\n          : [];\r\n\r\n      // All the colours on the current print position\r\n      const allPmsColors = [...allPmsColorsInArtworks, ...textPmsColors];\r\n\r\n      const uniquePmsColors = [\r\n        ...new Map(allPmsColors.map((item) => [item['name'], item])).values(),\r\n      ];\r\n\r\n      return uniquePmsColors;\r\n    },\r\n    async getAvailablePmsColors() {\r\n      try {\r\n        const productStore = useProductStore();\r\n        const shapesStore = useShapeStore();\r\n\r\n        const selectedPrintPosition =\r\n          productStore.unavailablePrintPositions.find(\r\n            (x) => x.positionId === productStore.selectedPrintPosition.id\r\n          );\r\n\r\n        let isPaletteChanged = false;\r\n        if (selectedPrintPosition?.technique.printTechniqueSAPCode === 'TC') {\r\n          if (this.lastPalette !== 'TC') {\r\n            const { data } = await FileService.getAvailablePmsColors('TC');\r\n            this.availablePmsColors = data;\r\n            this.lastPalette = 'TC';\r\n            isPaletteChanged = true;\r\n          }\r\n        } else if (\r\n          selectedPrintPosition?.technique.groupCode === 'TS' ||\r\n          selectedPrintPosition?.technique.groupCode === 'TSM' ||\r\n          selectedPrintPosition?.technique.groupCode === 'TST'\r\n        ) {\r\n          if (this.lastPalette !== 'TS') {\r\n            const { data } = await FileService.getAvailablePmsColors('TS');\r\n            this.availablePmsColors = data;\r\n            this.lastPalette = 'TS';\r\n            isPaletteChanged = true;\r\n          }\r\n        } else {\r\n          if (this.lastPalette !== 'ALL') {\r\n            const { data } = await FileService.getAvailablePmsColors();\r\n            this.availablePmsColors = data;\r\n            this.lastPalette = 'ALL';\r\n            isPaletteChanged = true;\r\n          }\r\n        }\r\n\r\n        if (isPaletteChanged) {\r\n          //Check all proposed colors, and propose again closest from new palette\r\n          const allShapes = shapesStore.shapes;\r\n          allShapes.forEach((shape) => {\r\n            if (\r\n              shapesStore.positionShapeMap.find((x) => x.logoId === shape.id)\r\n                ?.id === selectedPrintPosition?.positionId\r\n            ) {\r\n              if (shape.kind === 'Logo') {\r\n                this.changeToClosestPantonesFromPalette(shape);\r\n              } else if (shape.kind === 'Text') {\r\n                this.changeToClosestPantoneFromPalette(shape);\r\n              }\r\n            }\r\n          });\r\n        }\r\n\r\n        return this.availablePmsColors;\r\n      } catch (error) {\r\n        console.log('An error occurred', error);\r\n      }\r\n    },\r\n    changeToClosestPantonesFromPalette(shape: LogoShape) {\r\n      shape.pmsColorsInPngFile.forEach((shapeColor) => {\r\n        let smallestFuzzDistance = 100;\r\n        this.availablePmsColors.forEach((pantoneColor) => {\r\n          const fuzzDistance = this.getFuzzDistance(\r\n            shapeColor.red,\r\n            pantoneColor.red,\r\n            shapeColor.green,\r\n            pantoneColor.green,\r\n            shapeColor.blue,\r\n            pantoneColor.blue\r\n          );\r\n          if (fuzzDistance < smallestFuzzDistance) {\r\n            smallestFuzzDistance = fuzzDistance;\r\n            shapeColor.name = pantoneColor.name;\r\n          }\r\n        });\r\n      });\r\n    },\r\n    changeColorsToClosestPantonesFromPalette(colors: PmsColor[]) {\r\n      colors.forEach((color) => {\r\n        let smallestFuzzDistance = 100;\r\n        this.availablePmsColors.forEach((pantoneColor) => {\r\n          const fuzzDistance = this.getFuzzDistance(\r\n            color.red,\r\n            pantoneColor.red,\r\n            color.green,\r\n            pantoneColor.green,\r\n            color.blue,\r\n            pantoneColor.blue\r\n          );\r\n          if (fuzzDistance < smallestFuzzDistance) {\r\n            smallestFuzzDistance = fuzzDistance;\r\n            color.name = pantoneColor.name;\r\n          }\r\n        });\r\n      });\r\n    },\r\n    changeToClosestPantoneFromPalette(shape: TextShape) {\r\n      let smallestFuzzDistance = 100;\r\n      this.availablePmsColors.forEach((pantoneColor) => {\r\n        let fuzzDistance = 0;\r\n        fuzzDistance = this.getFuzzDistance(\r\n          shape.w2pText.color[0] * 255,\r\n          pantoneColor.red,\r\n          shape.w2pText.color[1] * 255,\r\n          pantoneColor.green,\r\n          shape.w2pText.color[2] * 255,\r\n          pantoneColor.blue\r\n        );\r\n        if (fuzzDistance < smallestFuzzDistance) {\r\n          smallestFuzzDistance = fuzzDistance;\r\n          shape.w2pText.colorName = pantoneColor.name;\r\n        }\r\n      });\r\n    },\r\n    getFuzzDistance(\r\n      r1: number,\r\n      r2: number,\r\n      g1: number,\r\n      g2: number,\r\n      b1: number,\r\n      b2: number\r\n    ) {\r\n      return (\r\n        (Math.sqrt(\r\n          ((r1 - r2) * (r1 - r2) +\r\n            (g1 - g2) * (g1 - g2) +\r\n            (b1 - b2) * (b1 - b2)) /\r\n            3\r\n        ) /\r\n          256) *\r\n        100\r\n      );\r\n    },\r\n    getPmsColorByPrintPositionId(printPositionId: string) {\r\n      const shapeStore = useShapeStore();\r\n\r\n      const shapes = shapeStore.shapes;\r\n\r\n      // Extract logos from the shapes array\r\n      const nonTextPrintPositionShapes = shapes\r\n        .filter((shape) =>\r\n          shapeStore.positionShapeMap.some(\r\n            (psm) => psm.id === printPositionId && psm.logoId === shape.id\r\n          )\r\n        )\r\n        .filter(nonTextShapes) as LogoShape[];\r\n\r\n      // All colours from the logos\r\n      const allPmsColorsInArtworks = nonTextPrintPositionShapes.reduce<\r\n        PmsColor[]\r\n      >((prev, curr) => {\r\n        return [...prev, ...curr.pmsColorsInPngFile];\r\n      }, []);\r\n\r\n      // Extract texts from the shapes array\r\n      const textPrintPositionShapes = shapes\r\n        .filter((shape) =>\r\n          shapeStore.positionShapeMap.some(\r\n            (psm) => psm.id === printPositionId && psm.logoId === shape.id\r\n          )\r\n        )\r\n        .filter(textShapes) as TextShape[];\r\n\r\n      // All olours from the texts\r\n      const textPmsColors = textPrintPositionShapes.map((text) => {\r\n        return this.availablePmsColors.find(\r\n          (c) => c.name === text.w2pText.colorName\r\n        ) as PmsColor;\r\n      });\r\n\r\n      // All the colours on the current print position\r\n      const allPmsColors = [...allPmsColorsInArtworks, ...textPmsColors];\r\n\r\n      // Remove the \"Closest Pantone\" prefix when preparing colors for retreiving only the unique ones\r\n      for (const pmsColor of allPmsColors) {\r\n        if (pmsColor.name.includes('Closest Pantone:')) {\r\n          const colorNameSplit = pmsColor.name.split(':');\r\n          pmsColor.name = colorNameSplit[1].trimStart();\r\n        }\r\n      }\r\n\r\n      const uniquePmsColors = [\r\n        ...new Map(allPmsColors.map((item) => [item['name'], item])).values(),\r\n      ];\r\n\r\n      return uniquePmsColors;\r\n    },\r\n    getNumberOfColoursByPrintPositionId(printPositionId: string) {\r\n      const productStore = useProductStore();\r\n\r\n      const isLaserConverter = productStore.isLaserConverter(printPositionId);\r\n      const isFullColorTechnique = productStore.isFullColor(printPositionId);\r\n      const isDebossingTechnique =\r\n        productStore.isDebossingTechnique(printPositionId);\r\n\r\n      if (isFullColorTechnique) {\r\n        return 8; // Full color techniques always counts as 8 color\r\n      }\r\n\r\n      if (isLaserConverter || isDebossingTechnique) {\r\n        return 1; // Laser and Debossing always counts as 1 color\r\n      }\r\n\r\n      return this.getPmsColorByPrintPositionId(printPositionId).length;\r\n    },\r\n  },\r\n});\r\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".product-preview[data-v-73f1befa]{position:relative;margin:10px}.product-preview__img[data-v-73f1befa]{max-height:var(--value);max-width:var(--value)}.product-preview__img-shape[data-v-73f1befa]{position:absolute}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","import { SmallDetailsStatus } from '@midocean/webapps-shared-domain';\r\n\r\nexport type SmallDetailsResult = {\r\n  positiveDetailsLoss: number;\r\n  negativeDetailsLoss: number;\r\n  pngFile: string;\r\n  calculatedQuality: number;\r\n  id: string;\r\n};\r\n\r\nexport type SmallDetailsPayload = SmallDetailsResult & {\r\n  status: SmallDetailsStatus;\r\n  approvedAt: string | undefined;\r\n  pngFileBlob: Blob;\r\n  isCheckValid: boolean;\r\n};\r\n\r\nexport type CheckImageSmallDetailsCommand = {\r\n  id: string;\r\n  logoWidthInMm: number;\r\n  positiveLimitInMm: number;\r\n  negativeLimitInMm: number;\r\n  ignoreColors: boolean;\r\n};\r\n\r\nexport type ProcessTextCommand = {\r\n  id: string;\r\n  font: string;\r\n  fontSize: number;\r\n  isBold: boolean;\r\n  isItalic: boolean;  \r\n  text: string;\r\n  textColor: string;\r\n  textAlignment: TextAlignment;\r\n};\r\n\r\nexport type TextAlignment = 'Left' | 'Center' | 'Right';\r\n\r\nexport const DefaultSmallDetailsResult: SmallDetailsPayload = {\r\n  isCheckValid: false,\r\n  positiveDetailsLoss: 0,\r\n  negativeDetailsLoss: 0,\r\n  pngFile: '',\r\n  calculatedQuality: 0,\r\n  id: '',\r\n  status: 'Good',\r\n  approvedAt: undefined,\r\n  pngFileBlob: new Blob(),\r\n};\r\n","'use strict';\nvar $ = require('../internals/export');\nvar isSupersetOf = require('../internals/set-is-superset-of');\nvar setMethodAcceptSetLike = require('../internals/set-method-accept-set-like');\n\n// `Set.prototype.isSupersetOf` method\n// https://github.com/tc39/proposal-set-methods\n$({ target: 'Set', proto: true, real: true, forced: !setMethodAcceptSetLike('isSupersetOf') }, {\n  isSupersetOf: isSupersetOf\n});\n","import { AnnotationShape } from '@/web-components/import-wizard/typings';\r\nimport { SmallDetailsPayload } from '@/typings';\r\nimport { useStore as useProductStore } from '@/stores/product';\r\nimport { useStore as useShapeStore } from '@/stores/shape';\r\nimport imageProcessingAPI from '@/services/FileService';\r\nimport { base64StringToBlob } from 'blob-util';\r\nimport {\r\n  CheckImageSmallDetailsCommand,\r\n  TextAlignment,\r\n} from '@/typings/SmallDetails';\r\nimport { px2mm } from '@/utils';\r\nimport { DefaultSmallDetailsResult } from '@/typings/SmallDetails';\r\nimport { SmallDetailsStatus } from '@midocean/webapps-shared-domain';\r\n\r\nexport function getSmallDetailsStatus(\r\n  positiveLoss: number,\r\n  negativeLoss: number,\r\n  calculatedQuality?: number\r\n): SmallDetailsStatus {\r\n  if (positiveLoss + negativeLoss > 10) {\r\n    return 'Bad';\r\n  } else if (positiveLoss + negativeLoss > 1) {\r\n    return 'Average';\r\n  } else if (\r\n    calculatedQuality === 0 &&\r\n    positiveLoss === 0 &&\r\n    negativeLoss === 0\r\n  ) {\r\n    return 'NoCheck';\r\n  } else {\r\n    return 'Good';\r\n  }\r\n}\r\n\r\nexport function getSmallDetailsValidatorColor(\r\n  status: SmallDetailsStatus\r\n): 'Red' | 'Green' | 'Orange' {\r\n  switch (status) {\r\n    case 'Good':\r\n      return 'Green';\r\n    case 'Average':\r\n      return 'Orange';\r\n    case 'Bad':\r\n      return 'Red';\r\n    default:\r\n      return 'Green';\r\n  }\r\n}\r\n\r\nexport function getShapesForRevalidation(): AnnotationShape[] {\r\n  const shapeStore = useShapeStore();\r\n  return shapeStore.shapes.filter(\r\n    (x) => x.smallDetailsResult && x.smallDetailsResult.isCheckValid === false\r\n  );\r\n}\r\n\r\nexport async function revalidateSmallDetails(): Promise<void> {\r\n  const shapeStore = useShapeStore();\r\n  const productStore = useProductStore();\r\n\r\n  const shapesToRevalidate = getShapesForRevalidation();\r\n\r\n  if (shapesToRevalidate.length > 0) {\r\n    const results = await Promise.all(\r\n      shapesToRevalidate.map(async (shape) => {\r\n        if (!shape.smallDetailsResult?.isCheckValid) {\r\n          const positionId = shapeStore.positionShapeMap.find(\r\n            (x) => x.logoId === shape.id\r\n          )?.id;\r\n          if (positionId) {\r\n            const printPosition = productStore.data.productPrintPositions.find(\r\n              (x) => x.id === positionId\r\n            );\r\n            if (printPosition) {\r\n              const widthInMM = px2mm(\r\n                shape.width as number,\r\n                printPosition.originalImageWebDpi\r\n              );\r\n              const heightInMM = px2mm(\r\n                shape.height as number,\r\n                printPosition.originalImageWebDpi\r\n              );\r\n              const techniqueId = productStore.unavailablePrintPositions.find(\r\n                (x) => x.positionId === positionId\r\n              )?.technique.id;\r\n              const limitation = printPosition.printTechniques.find(\r\n                (x) => x.id === techniqueId\r\n              )?.printTechnique.limitation;\r\n              if (limitation) {\r\n                let command: CheckImageSmallDetailsCommand;\r\n                let blob: Blob;\r\n                // Handle logo case\r\n                if (shape.kind === 'Logo') {\r\n                  command = {\r\n                    id: shape.id,\r\n                    logoWidthInMm: widthInMM,\r\n                    positiveLimitInMm: limitation.positiveLimitMM,\r\n                    negativeLimitInMm: limitation.negativeLimitMM,\r\n                    ignoreColors:\r\n                      limitation.ignoreColors ||\r\n                      Array.from(\r\n                        new Set(shape.pmsColorsInPngFile.map((obj) => obj.name))\r\n                      ).length === 1,\r\n                  };\r\n                  blob = shape.pngFileWithoutConverters as Blob;\r\n                } else {\r\n                  command = {\r\n                    id: shape.id,\r\n                    logoWidthInMm: shape.originalWidthMM,\r\n                    positiveLimitInMm: limitation.positiveLimitMM,\r\n                    negativeLimitInMm: limitation.negativeLimitMM,\r\n                    ignoreColors: limitation.ignoreColors,\r\n                  };\r\n                  blob = shape.pngFileWithoutConverters as Blob;\r\n                }\r\n\r\n                const { data } =\r\n                  await imageProcessingAPI.checkImageSmallDetails(\r\n                    command,\r\n                    blob\r\n                  );\r\n\r\n                const smallDetails = {\r\n                  ...data,\r\n                  pngFile: data.pngFile !== null ? data.pngFile : '',\r\n                  pngFileBlob:\r\n                    data.pngFile !== null\r\n                      ? base64StringToBlob(data.pngFile, 'image/png')\r\n                      : new Blob(),\r\n                  isCheckValid: true,\r\n                  approvedAt: undefined,\r\n                  id: data.id,\r\n                  status: getSmallDetailsStatus(\r\n                    data.positiveDetailsLoss,\r\n                    data.negativeDetailsLoss,\r\n                    data.calculatedQuality\r\n                  ),\r\n                } as SmallDetailsPayload;\r\n\r\n                return { id: shape.id, smallDetails };\r\n              }\r\n            }\r\n          }\r\n        }\r\n      })\r\n    );\r\n    shapeStore.$patch((state) => {\r\n      results.forEach((x) => {\r\n        if (x) {\r\n          const shapeIdx = state.shapes.findIndex((p) => p.id === x.id);\r\n          state.shapes.splice(shapeIdx, 1, {\r\n            ...state.shapes[shapeIdx],\r\n            smallDetailsResult: {\r\n              positiveDetailsLoss: x.smallDetails.positiveDetailsLoss,\r\n              negativeDetailsLoss: x.smallDetails.negativeDetailsLoss,\r\n              calculatedQuality: x.smallDetails.calculatedQuality,\r\n              approvedAt: x.smallDetails.approvedAt,\r\n              status: x.smallDetails.status,\r\n              pngFile: x.smallDetails.pngFile,\r\n              pngFileBlob: x.smallDetails.pngFileBlob,\r\n              isCheckValid: true,\r\n              id: x.smallDetails.id,\r\n            },\r\n          });\r\n        }\r\n      });\r\n    });\r\n  }\r\n}\r\n\r\nexport function mapSmallDetailsPayload(\r\n  shape: AnnotationShape,\r\n  isSmallDetailsTech: boolean\r\n): SmallDetailsPayload | undefined {\r\n  if (isSmallDetailsTech) {\r\n    if (shape.smallDetailsResult) {\r\n      return { ...shape.smallDetailsResult, isCheckValid: false };\r\n    } else {\r\n      return { ...DefaultSmallDetailsResult, id: shape.id };\r\n    }\r\n  } else {\r\n    return undefined;\r\n  }\r\n}\r\n","'use strict';\nvar aSet = require('../internals/a-set');\nvar SetHelpers = require('../internals/set-helpers');\nvar clone = require('../internals/set-clone');\nvar size = require('../internals/set-size');\nvar getSetRecord = require('../internals/get-set-record');\nvar iterateSet = require('../internals/set-iterate');\nvar iterateSimple = require('../internals/iterate-simple');\n\nvar has = SetHelpers.has;\nvar remove = SetHelpers.remove;\n\n// `Set.prototype.difference` method\n// https://github.com/tc39/proposal-set-methods\nmodule.exports = function difference(other) {\n  var O = aSet(this);\n  var otherRec = getSetRecord(other);\n  var result = clone(O);\n  if (size(O) <= otherRec.size) iterateSet(O, function (e) {\n    if (otherRec.includes(e)) remove(result, e);\n  });\n  else iterateSimple(otherRec.getIterator(), function (e) {\n    if (has(O, e)) remove(result, e);\n  });\n  return result;\n};\n","export * from \"-!../../../../node_modules/vue-style-loader/index.js??ref--7-oneOf-1-0!../../../../node_modules/css-loader/dist/cjs.js??ref--7-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--7-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--7-oneOf-1-3!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./ManualCheck.vue?vue&type=style&index=0&id=1a685238&prod&scoped=true&lang=css\"","'use strict';\nvar fails = require('../internals/fails');\n\nmodule.exports = function (METHOD_NAME, argument) {\n  var method = [][METHOD_NAME];\n  return !!method && fails(function () {\n    // eslint-disable-next-line no-useless-call -- required for testing\n    method.call(null, argument || function () { return 1; }, 1);\n  });\n};\n","'use strict';\n\n/** @type {import('.')} */\nmodule.exports = Error;\n","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./TotalPricing.vue?vue&type=style&index=1&id=5bd1b5f0&prod&lang=scss\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"3df4d9c1\", content, shadowRoot)\n};","(function 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\t// define __esModule on exports\n/******/ \t__webpack_require__.r = function(exports) {\n/******/ \t\tif(typeof Symbol !== 'undefined' && Symbol.toStringTag) {\n/******/ \t\t\tObject.defineProperty(exports, Symbol.toStringTag, { value: 'Module' });\n/******/ \t\t}\n/******/ \t\tObject.defineProperty(exports, '__esModule', { value: true });\n/******/ \t};\n/******/\n/******/ \t// create a fake namespace object\n/******/ \t// mode & 1: value is a module id, require it\n/******/ \t// mode & 2: merge all properties of value into the ns\n/******/ \t// mode & 4: return value when already ns object\n/******/ \t// mode & 8|1: behave like require\n/******/ \t__webpack_require__.t = function(value, mode) {\n/******/ \t\tif(mode & 1) value = __webpack_require__(value);\n/******/ \t\tif(mode & 8) return value;\n/******/ \t\tif((mode & 4) && typeof value === 'object' && value && value.__esModule) return value;\n/******/ \t\tvar ns = Object.create(null);\n/******/ 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__webpack_public_path__\n/******/ \t__webpack_require__.p = \"\";\n/******/\n/******/\n/******/ \t// Load entry module and return exports\n/******/ \treturn __webpack_require__(__webpack_require__.s = \"fb15\");\n/******/ })\n/************************************************************************/\n/******/ ({\n\n/***/ \"00ee\":\n/***/ (function(module, exports, __webpack_require__) {\n\nvar wellKnownSymbol = __webpack_require__(\"b622\");\n\nvar TO_STRING_TAG = wellKnownSymbol('toStringTag');\nvar test = {};\n\ntest[TO_STRING_TAG] = 'z';\n\nmodule.exports = String(test) === '[object z]';\n\n\n/***/ }),\n\n/***/ \"0366\":\n/***/ (function(module, exports, __webpack_require__) {\n\nvar aFunction = __webpack_require__(\"1c0b\");\n\n// optional / simple context binding\nmodule.exports = function (fn, that, length) {\n  aFunction(fn);\n  if (that === undefined) return fn;\n  switch (length) {\n    case 0: return function () {\n      return fn.call(that);\n    };\n    case 1: return function (a) {\n      return fn.call(that, a);\n    };\n    case 2: return function (a, b) {\n      return fn.call(that, a, b);\n    };\n    case 3: return function (a, b, c) {\n      return fn.call(that, a, b, c);\n    };\n  }\n  return function (/* ...args */) {\n    return fn.apply(that, arguments);\n  };\n};\n\n\n/***/ }),\n\n/***/ \"0497\":\n/***/ (function(module, exports) {\n\nvar camel2hyphen = function (str) {\n  return str\n          .replace(/[A-Z]/g, function (match) {\n            return '-' + match.toLowerCase();\n          })\n          .toLowerCase();\n};\n\nmodule.exports = camel2hyphen;\n\n/***/ }),\n\n/***/ \"057f\":\n/***/ (function(module, exports, __webpack_require__) {\n\nvar toIndexedObject = __webpack_require__(\"fc6a\");\nvar nativeGetOwnPropertyNames = __webpack_require__(\"241c\").f;\n\nvar toString = {}.toString;\n\nvar windowNames = typeof window == 'object' && window && Object.getOwnPropertyNames\n  ? Object.getOwnPropertyNames(window) : [];\n\nvar getWindowNames = function (it) {\n  try {\n    return nativeGetOwnPropertyNames(it);\n  } catch (error) {\n    return windowNames.slice();\n  }\n};\n\n// fallback for IE11 buggy Object.getOwnPropertyNames with iframe and window\nmodule.exports.f = function getOwnPropertyNames(it) {\n  return windowNames && toString.call(it) == '[object Window]'\n    ? getWindowNames(it)\n    : nativeGetOwnPropertyNames(toIndexedObject(it));\n};\n\n\n/***/ }),\n\n/***/ \"06cf\":\n/***/ (function(module, exports, __webpack_require__) {\n\nvar DESCRIPTORS = __webpack_require__(\"83ab\");\nvar propertyIsEnumerableModule = __webpack_require__(\"d1e7\");\nvar createPropertyDescriptor = __webpack_require__(\"5c6c\");\nvar toIndexedObject = __webpack_require__(\"fc6a\");\nvar toPrimitive = __webpack_require__(\"c04e\");\nvar has = __webpack_require__(\"5135\");\nvar IE8_DOM_DEFINE = __webpack_require__(\"0cfb\");\n\nvar nativeGetOwnPropertyDescriptor = Object.getOwnPropertyDescriptor;\n\n// `Object.getOwnPropertyDescriptor` method\n// https://tc39.github.io/ecma262/#sec-object.getownpropertydescriptor\nexports.f = DESCRIPTORS ? nativeGetOwnPropertyDescriptor : function getOwnPropertyDescriptor(O, P) {\n  O = toIndexedObject(O);\n  P = toPrimitive(P, true);\n  if (IE8_DOM_DEFINE) try {\n    return nativeGetOwnPropertyDescriptor(O, P);\n  } catch (error) { /* empty */ }\n  if (has(O, P)) return createPropertyDescriptor(!propertyIsEnumerableModule.f.call(O, P), O[P]);\n};\n\n\n/***/ }),\n\n/***/ \"07ac\":\n/***/ (function(module, exports, __webpack_require__) {\n\nvar $ = __webpack_require__(\"23e7\");\nvar $values = __webpack_require__(\"6f53\").values;\n\n// `Object.values` method\n// https://tc39.github.io/ecma262/#sec-object.values\n$({ target: 'Object', stat: true }, {\n  values: function values(O) {\n    return $values(O);\n  }\n});\n\n\n/***/ }),\n\n/***/ \"0cfb\":\n/***/ (function(module, exports, __webpack_require__) {\n\nvar DESCRIPTORS = __webpack_require__(\"83ab\");\nvar fails = __webpack_require__(\"d039\");\nvar createElement = __webpack_require__(\"cc12\");\n\n// Thank's IE8 for his funny defineProperty\nmodule.exports = !DESCRIPTORS && !fails(function () {\n  return Object.defineProperty(createElement('div'), 'a', {\n    get: function () { return 7; }\n  }).a != 7;\n});\n\n\n/***/ }),\n\n/***/ \"1276\":\n/***/ (function(module, exports, __webpack_require__) {\n\n\"use strict\";\n\nvar fixRegExpWellKnownSymbolLogic = __webpack_require__(\"d784\");\nvar isRegExp = __webpack_require__(\"44e7\");\nvar anObject = __webpack_require__(\"825a\");\nvar requireObjectCoercible = __webpack_require__(\"1d80\");\nvar speciesConstructor = __webpack_require__(\"4840\");\nvar advanceStringIndex = __webpack_require__(\"8aa5\");\nvar toLength = __webpack_require__(\"50c4\");\nvar callRegExpExec = __webpack_require__(\"14c3\");\nvar regexpExec = __webpack_require__(\"9263\");\nvar fails = __webpack_require__(\"d039\");\n\nvar arrayPush = [].push;\nvar min = Math.min;\nvar MAX_UINT32 = 0xFFFFFFFF;\n\n// babel-minify transpiles RegExp('x', 'y') -> /x/y and it causes SyntaxError\nvar SUPPORTS_Y = !fails(function () { return !RegExp(MAX_UINT32, 'y'); });\n\n// @@split logic\nfixRegExpWellKnownSymbolLogic('split', 2, function (SPLIT, nativeSplit, maybeCallNative) {\n  var internalSplit;\n  if (\n    'abbc'.split(/(b)*/)[1] == 'c' ||\n    'test'.split(/(?:)/, -1).length != 4 ||\n    'ab'.split(/(?:ab)*/).length != 2 ||\n    '.'.split(/(.?)(.?)/).length != 4 ||\n    '.'.split(/()()/).length > 1 ||\n    ''.split(/.?/).length\n  ) {\n    // based on es5-shim implementation, need to rework it\n    internalSplit = function (separator, limit) {\n      var string = String(requireObjectCoercible(this));\n      var lim = limit === undefined ? MAX_UINT32 : limit >>> 0;\n      if (lim === 0) return [];\n      if (separator === undefined) return [string];\n      // If `separator` is not a regex, use native split\n      if (!isRegExp(separator)) {\n        return nativeSplit.call(string, separator, lim);\n      }\n      var output = [];\n      var flags = (separator.ignoreCase ? 'i' : '') +\n                  (separator.multiline ? 'm' : '') +\n                  (separator.unicode ? 'u' : '') +\n                  (separator.sticky ? 'y' : '');\n      var lastLastIndex = 0;\n      // Make `global` and avoid `lastIndex` issues by working with a copy\n      var separatorCopy = new RegExp(separator.source, flags + 'g');\n      var match, lastIndex, lastLength;\n      while (match = regexpExec.call(separatorCopy, string)) {\n        lastIndex = separatorCopy.lastIndex;\n        if (lastIndex > lastLastIndex) {\n          output.push(string.slice(lastLastIndex, match.index));\n          if (match.length > 1 && match.index < string.length) arrayPush.apply(output, match.slice(1));\n          lastLength = match[0].length;\n          lastLastIndex = lastIndex;\n          if (output.length >= lim) break;\n        }\n        if (separatorCopy.lastIndex === match.index) separatorCopy.lastIndex++; // Avoid an infinite loop\n      }\n      if (lastLastIndex === string.length) {\n        if (lastLength || !separatorCopy.test('')) output.push('');\n      } else output.push(string.slice(lastLastIndex));\n      return output.length > lim ? output.slice(0, lim) : output;\n    };\n  // Chakra, V8\n  } else if ('0'.split(undefined, 0).length) {\n    internalSplit = function (separator, limit) {\n      return separator === undefined && limit === 0 ? [] : nativeSplit.call(this, separator, limit);\n    };\n  } else internalSplit = nativeSplit;\n\n  return [\n    // `String.prototype.split` method\n    // https://tc39.github.io/ecma262/#sec-string.prototype.split\n    function split(separator, limit) {\n      var O = requireObjectCoercible(this);\n      var splitter = separator == undefined ? undefined : separator[SPLIT];\n      return splitter !== undefined\n        ? splitter.call(separator, O, limit)\n        : internalSplit.call(String(O), separator, limit);\n    },\n    // `RegExp.prototype[@@split]` method\n    // https://tc39.github.io/ecma262/#sec-regexp.prototype-@@split\n    //\n    // NOTE: This cannot be properly polyfilled in engines that don't support\n    // the 'y' flag.\n    function (regexp, limit) {\n      var res = maybeCallNative(internalSplit, regexp, this, limit, internalSplit !== nativeSplit);\n      if (res.done) return res.value;\n\n      var rx = anObject(regexp);\n      var S = String(this);\n      var C = speciesConstructor(rx, RegExp);\n\n      var unicodeMatching = rx.unicode;\n      var flags = (rx.ignoreCase ? 'i' : '') +\n                  (rx.multiline ? 'm' : '') +\n                  (rx.unicode ? 'u' : '') +\n                  (SUPPORTS_Y ? 'y' : 'g');\n\n      // ^(? + rx + ) is needed, in combination with some S slicing, to\n      // simulate the 'y' flag.\n      var splitter = new C(SUPPORTS_Y ? rx : '^(?:' + rx.source + ')', flags);\n      var lim = limit === undefined ? MAX_UINT32 : limit >>> 0;\n      if (lim === 0) return [];\n      if (S.length === 0) return callRegExpExec(splitter, S) === null ? [S] : [];\n      var p = 0;\n      var q = 0;\n      var A = [];\n      while (q < S.length) {\n        splitter.lastIndex = SUPPORTS_Y ? q : 0;\n        var z = callRegExpExec(splitter, SUPPORTS_Y ? S : S.slice(q));\n        var e;\n        if (\n          z === null ||\n          (e = min(toLength(splitter.lastIndex + (SUPPORTS_Y ? 0 : q)), S.length)) === p\n        ) {\n          q = advanceStringIndex(S, q, unicodeMatching);\n        } else {\n          A.push(S.slice(p, q));\n          if (A.length === lim) return A;\n          for (var i = 1; i <= z.length - 1; i++) {\n            A.push(z[i]);\n            if (A.length === lim) return A;\n          }\n          q = p = e;\n        }\n      }\n      A.push(S.slice(p));\n      return A;\n    }\n  ];\n}, !SUPPORTS_Y);\n\n\n/***/ }),\n\n/***/ \"13d5\":\n/***/ (function(module, exports, __webpack_require__) {\n\n\"use strict\";\n\nvar $ = __webpack_require__(\"23e7\");\nvar $reduce = __webpack_require__(\"d58f\").left;\nvar arrayMethodIsStrict = __webpack_require__(\"a640\");\nvar arrayMethodUsesToLength = __webpack_require__(\"ae40\");\n\nvar STRICT_METHOD = arrayMethodIsStrict('reduce');\nvar USES_TO_LENGTH = arrayMethodUsesToLength('reduce', { 1: 0 });\n\n// `Array.prototype.reduce` method\n// https://tc39.github.io/ecma262/#sec-array.prototype.reduce\n$({ target: 'Array', proto: true, forced: !STRICT_METHOD || !USES_TO_LENGTH }, {\n  reduce: function reduce(callbackfn /* , initialValue */) {\n    return $reduce(this, callbackfn, arguments.length, arguments.length > 1 ? arguments[1] : undefined);\n  }\n});\n\n\n/***/ }),\n\n/***/ \"14c3\":\n/***/ (function(module, exports, __webpack_require__) {\n\nvar classof = __webpack_require__(\"c6b6\");\nvar regexpExec = __webpack_require__(\"9263\");\n\n// `RegExpExec` abstract operation\n// https://tc39.github.io/ecma262/#sec-regexpexec\nmodule.exports = function (R, S) {\n  var exec = R.exec;\n  if (typeof exec === 'function') {\n    var result = exec.call(R, S);\n    if (typeof result !== 'object') {\n      throw TypeError('RegExp exec method returned something other than an Object or null');\n    }\n    return result;\n  }\n\n  if (classof(R) !== 'RegExp') {\n    throw TypeError('RegExp#exec called on incompatible receiver');\n  }\n\n  return regexpExec.call(R, S);\n};\n\n\n\n/***/ }),\n\n/***/ \"159b\":\n/***/ (function(module, exports, __webpack_require__) {\n\nvar global = __webpack_require__(\"da84\");\nvar DOMIterables = __webpack_require__(\"fdbc\");\nvar forEach = __webpack_require__(\"17c2\");\nvar createNonEnumerableProperty = __webpack_require__(\"9112\");\n\nfor (var COLLECTION_NAME in DOMIterables) {\n  var Collection = global[COLLECTION_NAME];\n  var CollectionPrototype = Collection && Collection.prototype;\n  // some Chrome versions have non-configurable methods on DOMTokenList\n  if (CollectionPrototype && CollectionPrototype.forEach !== forEach) try {\n    createNonEnumerableProperty(CollectionPrototype, 'forEach', forEach);\n  } catch (error) {\n    CollectionPrototype.forEach = forEach;\n  }\n}\n\n\n/***/ }),\n\n/***/ \"17c2\":\n/***/ (function(module, exports, __webpack_require__) {\n\n\"use strict\";\n\nvar $forEach = __webpack_require__(\"b727\").forEach;\nvar arrayMethodIsStrict = __webpack_require__(\"a640\");\nvar arrayMethodUsesToLength = __webpack_require__(\"ae40\");\n\nvar STRICT_METHOD = arrayMethodIsStrict('forEach');\nvar USES_TO_LENGTH = arrayMethodUsesToLength('forEach');\n\n// `Array.prototype.forEach` method implementation\n// https://tc39.github.io/ecma262/#sec-array.prototype.foreach\nmodule.exports = (!STRICT_METHOD || !USES_TO_LENGTH) ? function forEach(callbackfn /* , thisArg */) {\n  return $forEach(this, callbackfn, arguments.length > 1 ? arguments[1] : undefined);\n} : [].forEach;\n\n\n/***/ }),\n\n/***/ \"1be4\":\n/***/ (function(module, exports, __webpack_require__) {\n\nvar getBuiltIn = __webpack_require__(\"d066\");\n\nmodule.exports = getBuiltIn('document', 'documentElement');\n\n\n/***/ }),\n\n/***/ \"1c0b\":\n/***/ (function(module, exports) {\n\nmodule.exports = function (it) {\n  if (typeof it != 'function') {\n    throw TypeError(String(it) + ' is not a function');\n  } return it;\n};\n\n\n/***/ }),\n\n/***/ \"1c7e\":\n/***/ (function(module, exports, __webpack_require__) {\n\nvar wellKnownSymbol = __webpack_require__(\"b622\");\n\nvar ITERATOR = wellKnownSymbol('iterator');\nvar SAFE_CLOSING = false;\n\ntry {\n  var called = 0;\n  var iteratorWithReturn = {\n    next: function () {\n      return { done: !!called++ };\n    },\n    'return': function () {\n      SAFE_CLOSING = true;\n    }\n  };\n  iteratorWithReturn[ITERATOR] = function () {\n    return this;\n  };\n  // eslint-disable-next-line no-throw-literal\n  Array.from(iteratorWithReturn, function () { throw 2; });\n} catch (error) { /* empty */ }\n\nmodule.exports = function (exec, SKIP_CLOSING) {\n  if (!SKIP_CLOSING && !SAFE_CLOSING) return false;\n  var ITERATION_SUPPORT = false;\n  try {\n    var object = {};\n    object[ITERATOR] = function () {\n      return {\n        next: function () {\n          return { done: ITERATION_SUPPORT = true };\n        }\n      };\n    };\n    exec(object);\n  } catch (error) { /* empty */ }\n  return ITERATION_SUPPORT;\n};\n\n\n/***/ }),\n\n/***/ \"1d80\":\n/***/ (function(module, exports) {\n\n// `RequireObjectCoercible` abstract operation\n// https://tc39.github.io/ecma262/#sec-requireobjectcoercible\nmodule.exports = function (it) {\n  if (it == undefined) throw TypeError(\"Can't call method on \" + it);\n  return it;\n};\n\n\n/***/ }),\n\n/***/ \"1dde\":\n/***/ (function(module, exports, __webpack_require__) {\n\nvar fails = __webpack_require__(\"d039\");\nvar wellKnownSymbol = __webpack_require__(\"b622\");\nvar V8_VERSION = __webpack_require__(\"2d00\");\n\nvar SPECIES = wellKnownSymbol('species');\n\nmodule.exports = function (METHOD_NAME) {\n  // We can't use this feature detection in V8 since it causes\n  // deoptimization and serious performance degradation\n  // https://github.com/zloirock/core-js/issues/677\n  return V8_VERSION >= 51 || !fails(function () {\n    var array = [];\n    var constructor = array.constructor = {};\n    constructor[SPECIES] = function () {\n      return { foo: 1 };\n    };\n    return array[METHOD_NAME](Boolean).foo !== 1;\n  });\n};\n\n\n/***/ }),\n\n/***/ \"217d\":\n/***/ (function(module, exports) {\n\n/**\n * Helper function for iterating over a collection\n *\n * @param collection\n * @param fn\n */\nfunction each(collection, fn) {\n    var i      = 0,\n        length = collection.length,\n        cont;\n\n    for(i; i < length; i++) {\n        cont = fn(collection[i], i);\n        if(cont === false) {\n            break; //allow early exit\n        }\n    }\n}\n\n/**\n * Helper function for determining whether target object is an array\n *\n * @param target the object under test\n * @return {Boolean} true if array, false otherwise\n */\nfunction isArray(target) {\n    return Object.prototype.toString.apply(target) === '[object Array]';\n}\n\n/**\n * Helper function for determining whether target object is a function\n *\n * @param target the object under test\n * @return {Boolean} true if function, false otherwise\n */\nfunction isFunction(target) {\n    return typeof target === 'function';\n}\n\nmodule.exports = {\n    isFunction : isFunction,\n    isArray : isArray,\n    each : each\n};\n\n\n/***/ }),\n\n/***/ \"23cb\":\n/***/ (function(module, exports, __webpack_require__) {\n\nvar toInteger = __webpack_require__(\"a691\");\n\nvar max = Math.max;\nvar min = Math.min;\n\n// Helper for a popular repeating case of the spec:\n// Let integer be ? ToInteger(index).\n// If integer < 0, let result be max((length + integer), 0); else let result be min(integer, length).\nmodule.exports = function (index, length) {\n  var integer = toInteger(index);\n  return integer < 0 ? max(integer + length, 0) : min(integer, length);\n};\n\n\n/***/ }),\n\n/***/ \"23e7\":\n/***/ (function(module, exports, __webpack_require__) {\n\nvar global = __webpack_require__(\"da84\");\nvar getOwnPropertyDescriptor = __webpack_require__(\"06cf\").f;\nvar createNonEnumerableProperty = __webpack_require__(\"9112\");\nvar redefine = __webpack_require__(\"6eeb\");\nvar setGlobal = __webpack_require__(\"ce4e\");\nvar copyConstructorProperties = __webpack_require__(\"e893\");\nvar isForced = __webpack_require__(\"94ca\");\n\n/*\n  options.target      - name of the target object\n  options.global      - target is the global object\n  options.stat        - export as static methods of target\n  options.proto       - export as prototype methods of target\n  options.real        - real prototype method for the `pure` version\n  options.forced      - export even if the native feature is available\n  options.bind        - bind methods to the target, required for the `pure` version\n  options.wrap        - wrap constructors to preventing global pollution, required for the `pure` version\n  options.unsafe      - use the simple assignment of property instead of delete + defineProperty\n  options.sham        - add a flag to not completely full polyfills\n  options.enumerable  - export as enumerable property\n  options.noTargetGet - prevent calling a getter on target\n*/\nmodule.exports = function (options, source) {\n  var TARGET = options.target;\n  var GLOBAL = options.global;\n  var STATIC = options.stat;\n  var FORCED, target, key, targetProperty, sourceProperty, descriptor;\n  if (GLOBAL) {\n    target = global;\n  } else if (STATIC) {\n    target = global[TARGET] || setGlobal(TARGET, {});\n  } else {\n    target = (global[TARGET] || {}).prototype;\n  }\n  if (target) for (key in source) {\n    sourceProperty = source[key];\n    if (options.noTargetGet) {\n      descriptor = getOwnPropertyDescriptor(target, key);\n      targetProperty = descriptor && descriptor.value;\n    } else targetProperty = target[key];\n    FORCED = isForced(GLOBAL ? key : TARGET + (STATIC ? '.' : '#') + key, options.forced);\n    // contained in target\n    if (!FORCED && targetProperty !== undefined) {\n      if (typeof sourceProperty === typeof targetProperty) continue;\n      copyConstructorProperties(sourceProperty, targetProperty);\n    }\n    // add a flag to not completely full polyfills\n    if (options.sham || (targetProperty && targetProperty.sham)) {\n      createNonEnumerableProperty(sourceProperty, 'sham', true);\n    }\n    // extend global\n    redefine(target, key, sourceProperty, options);\n  }\n};\n\n\n/***/ }),\n\n/***/ \"241c\":\n/***/ (function(module, exports, __webpack_require__) {\n\nvar internalObjectKeys = __webpack_require__(\"ca84\");\nvar enumBugKeys = __webpack_require__(\"7839\");\n\nvar hiddenKeys = enumBugKeys.concat('length', 'prototype');\n\n// `Object.getOwnPropertyNames` method\n// https://tc39.github.io/ecma262/#sec-object.getownpropertynames\nexports.f = Object.getOwnPropertyNames || function getOwnPropertyNames(O) {\n  return internalObjectKeys(O, hiddenKeys);\n};\n\n\n/***/ }),\n\n/***/ \"25f0\":\n/***/ (function(module, exports, __webpack_require__) {\n\n\"use strict\";\n\nvar redefine = __webpack_require__(\"6eeb\");\nvar anObject = __webpack_require__(\"825a\");\nvar fails = __webpack_require__(\"d039\");\nvar flags = __webpack_require__(\"ad6d\");\n\nvar TO_STRING = 'toString';\nvar RegExpPrototype = RegExp.prototype;\nvar nativeToString = RegExpPrototype[TO_STRING];\n\nvar NOT_GENERIC = fails(function () { return nativeToString.call({ source: 'a', flags: 'b' }) != '/a/b'; });\n// FF44- RegExp#toString has a wrong name\nvar INCORRECT_NAME = nativeToString.name != TO_STRING;\n\n// `RegExp.prototype.toString` method\n// https://tc39.github.io/ecma262/#sec-regexp.prototype.tostring\nif (NOT_GENERIC || INCORRECT_NAME) {\n  redefine(RegExp.prototype, TO_STRING, function toString() {\n    var R = anObject(this);\n    var p = String(R.source);\n    var rf = R.flags;\n    var f = String(rf === undefined && R instanceof RegExp && !('flags' in RegExpPrototype) ? flags.call(R) : rf);\n    return '/' + p + '/' + f;\n  }, { unsafe: true });\n}\n\n\n/***/ }),\n\n/***/ \"2d00\":\n/***/ (function(module, exports, __webpack_require__) {\n\nvar global = __webpack_require__(\"da84\");\nvar userAgent = __webpack_require__(\"342f\");\n\nvar process = global.process;\nvar versions = process && process.versions;\nvar v8 = versions && versions.v8;\nvar match, version;\n\nif (v8) {\n  match = v8.split('.');\n  version = match[0] + match[1];\n} else if (userAgent) {\n  match = userAgent.match(/Edge\\/(\\d+)/);\n  if (!match || match[1] >= 74) {\n    match = userAgent.match(/Chrome\\/(\\d+)/);\n    if (match) version = match[1];\n  }\n}\n\nmodule.exports = version && +version;\n\n\n/***/ }),\n\n/***/ \"342f\":\n/***/ (function(module, exports, __webpack_require__) {\n\nvar getBuiltIn = __webpack_require__(\"d066\");\n\nmodule.exports = getBuiltIn('navigator', 'userAgent') || '';\n\n\n/***/ }),\n\n/***/ \"35a1\":\n/***/ (function(module, exports, __webpack_require__) {\n\nvar classof = __webpack_require__(\"f5df\");\nvar Iterators = __webpack_require__(\"3f8c\");\nvar wellKnownSymbol = __webpack_require__(\"b622\");\n\nvar ITERATOR = wellKnownSymbol('iterator');\n\nmodule.exports = function (it) {\n  if (it != undefined) return it[ITERATOR]\n    || it['@@iterator']\n    || Iterators[classof(it)];\n};\n\n\n/***/ }),\n\n/***/ \"37e8\":\n/***/ (function(module, exports, __webpack_require__) {\n\nvar DESCRIPTORS = __webpack_require__(\"83ab\");\nvar definePropertyModule = __webpack_require__(\"9bf2\");\nvar anObject = __webpack_require__(\"825a\");\nvar objectKeys = __webpack_require__(\"df75\");\n\n// `Object.defineProperties` method\n// https://tc39.github.io/ecma262/#sec-object.defineproperties\nmodule.exports = DESCRIPTORS ? Object.defineProperties : function defineProperties(O, Properties) {\n  anObject(O);\n  var keys = objectKeys(Properties);\n  var length = keys.length;\n  var index = 0;\n  var key;\n  while (length > index) definePropertyModule.f(O, key = keys[index++], Properties[key]);\n  return O;\n};\n\n\n/***/ }),\n\n/***/ \"3b81\":\n/***/ (function(module, exports, __webpack_require__) {\n\n// extracted by mini-css-extract-plugin\n\n/***/ }),\n\n/***/ \"3bbe\":\n/***/ (function(module, exports, __webpack_require__) {\n\nvar isObject = __webpack_require__(\"861d\");\n\nmodule.exports = function (it) {\n  if (!isObject(it) && it !== null) {\n    throw TypeError(\"Can't set \" + String(it) + ' as a prototype');\n  } return it;\n};\n\n\n/***/ }),\n\n/***/ \"3ca3\":\n/***/ (function(module, exports, __webpack_require__) {\n\n\"use strict\";\n\nvar charAt = __webpack_require__(\"6547\").charAt;\nvar InternalStateModule = __webpack_require__(\"69f3\");\nvar defineIterator = __webpack_require__(\"7dd0\");\n\nvar STRING_ITERATOR = 'String Iterator';\nvar setInternalState = InternalStateModule.set;\nvar getInternalState = InternalStateModule.getterFor(STRING_ITERATOR);\n\n// `String.prototype[@@iterator]` method\n// https://tc39.github.io/ecma262/#sec-string.prototype-@@iterator\ndefineIterator(String, 'String', function (iterated) {\n  setInternalState(this, {\n    type: STRING_ITERATOR,\n    string: String(iterated),\n    index: 0\n  });\n// `%StringIteratorPrototype%.next` method\n// https://tc39.github.io/ecma262/#sec-%stringiteratorprototype%.next\n}, function next() {\n  var state = getInternalState(this);\n  var string = state.string;\n  var index = state.index;\n  var point;\n  if (index >= string.length) return { value: undefined, done: true };\n  point = charAt(string, index);\n  state.index += point.length;\n  return { value: point, done: false };\n});\n\n\n/***/ }),\n\n/***/ \"3f8c\":\n/***/ (function(module, exports) {\n\nmodule.exports = {};\n\n\n/***/ }),\n\n/***/ \"4160\":\n/***/ (function(module, exports, __webpack_require__) {\n\n\"use strict\";\n\nvar $ = __webpack_require__(\"23e7\");\nvar forEach = __webpack_require__(\"17c2\");\n\n// `Array.prototype.forEach` method\n// https://tc39.github.io/ecma262/#sec-array.prototype.foreach\n$({ target: 'Array', proto: true, forced: [].forEach != forEach }, {\n  forEach: forEach\n});\n\n\n/***/ }),\n\n/***/ \"428f\":\n/***/ (function(module, exports, __webpack_require__) {\n\nvar global = __webpack_require__(\"da84\");\n\nmodule.exports = global;\n\n\n/***/ }),\n\n/***/ \"42a0\":\n/***/ (function(module, exports) {\n\n/**\n * lodash (Custom Build) <https://lodash.com/>\n * Build: `lodash modularize exports=\"npm\" -o ./`\n * Copyright jQuery Foundation and other contributors <https://jquery.org/>\n * Released under MIT license <https://lodash.com/license>\n * Based on Underscore.js 1.8.3 <http://underscorejs.org/LICENSE>\n * Copyright Jeremy Ashkenas, DocumentCloud and Investigative Reporters & Editors\n */\n\n/** Used as references for various `Number` constants. */\nvar MAX_SAFE_INTEGER = 9007199254740991;\n\n/** `Object#toString` result references. */\nvar argsTag = '[object Arguments]',\n    funcTag = '[object Function]',\n    genTag = '[object GeneratorFunction]';\n\n/** Used to detect unsigned integer values. */\nvar reIsUint = /^(?:0|[1-9]\\d*)$/;\n\n/**\n * A faster alternative to `Function#apply`, this function invokes `func`\n * with the `this` binding of `thisArg` and the arguments of `args`.\n *\n * @private\n * @param {Function} func The function to invoke.\n * @param {*} thisArg The `this` binding of `func`.\n * @param {Array} args The arguments to invoke `func` with.\n * @returns {*} Returns the result of `func`.\n */\nfunction apply(func, thisArg, args) {\n  switch (args.length) {\n    case 0: return func.call(thisArg);\n    case 1: return func.call(thisArg, args[0]);\n    case 2: return func.call(thisArg, args[0], args[1]);\n    case 3: return func.call(thisArg, args[0], args[1], args[2]);\n  }\n  return func.apply(thisArg, args);\n}\n\n/**\n * The base implementation of `_.times` without support for iteratee shorthands\n * or max array length checks.\n *\n * @private\n * @param {number} n The number of times to invoke `iteratee`.\n * @param {Function} iteratee The function invoked per iteration.\n * @returns {Array} Returns the array of results.\n */\nfunction baseTimes(n, iteratee) {\n  var index = -1,\n      result = Array(n);\n\n  while (++index < n) {\n    result[index] = iteratee(index);\n  }\n  return result;\n}\n\n/**\n * Creates a unary function that invokes `func` with its argument transformed.\n *\n * @private\n * @param {Function} func The function to wrap.\n * @param {Function} transform The argument transform.\n * @returns {Function} Returns the new function.\n */\nfunction overArg(func, transform) {\n  return function(arg) {\n    return func(transform(arg));\n  };\n}\n\n/** Used for built-in method references. */\nvar objectProto = Object.prototype;\n\n/** Used to check objects for own properties. */\nvar hasOwnProperty = objectProto.hasOwnProperty;\n\n/**\n * Used to resolve the\n * [`toStringTag`](http://ecma-international.org/ecma-262/7.0/#sec-object.prototype.tostring)\n * of values.\n */\nvar objectToString = objectProto.toString;\n\n/** Built-in value references. */\nvar propertyIsEnumerable = objectProto.propertyIsEnumerable;\n\n/* Built-in method references for those with the same name as other `lodash` methods. */\nvar nativeKeys = overArg(Object.keys, Object),\n    nativeMax = Math.max;\n\n/** Detect if properties shadowing those on `Object.prototype` are non-enumerable. */\nvar nonEnumShadows = !propertyIsEnumerable.call({ 'valueOf': 1 }, 'valueOf');\n\n/**\n * Creates an array of the enumerable property names of the array-like `value`.\n *\n * @private\n * @param {*} value The value to query.\n * @param {boolean} inherited Specify returning inherited property names.\n * @returns {Array} Returns the array of property names.\n */\nfunction arrayLikeKeys(value, inherited) {\n  // Safari 8.1 makes `arguments.callee` enumerable in strict mode.\n  // Safari 9 makes `arguments.length` enumerable in strict mode.\n  var result = (isArray(value) || isArguments(value))\n    ? baseTimes(value.length, String)\n    : [];\n\n  var length = result.length,\n      skipIndexes = !!length;\n\n  for (var key in value) {\n    if ((inherited || hasOwnProperty.call(value, key)) &&\n        !(skipIndexes && (key == 'length' || isIndex(key, length)))) {\n      result.push(key);\n    }\n  }\n  return result;\n}\n\n/**\n * Assigns `value` to `key` of `object` if the existing value is not equivalent\n * using [`SameValueZero`](http://ecma-international.org/ecma-262/7.0/#sec-samevaluezero)\n * for equality comparisons.\n *\n * @private\n * @param {Object} object The object to modify.\n * @param {string} key The key of the property to assign.\n * @param {*} value The value to assign.\n */\nfunction assignValue(object, key, value) {\n  var objValue = object[key];\n  if (!(hasOwnProperty.call(object, key) && eq(objValue, value)) ||\n      (value === undefined && !(key in object))) {\n    object[key] = value;\n  }\n}\n\n/**\n * The base implementation of `_.keys` which doesn't treat sparse arrays as dense.\n *\n * @private\n * @param {Object} object The object to query.\n * @returns {Array} Returns the array of property names.\n */\nfunction baseKeys(object) {\n  if (!isPrototype(object)) {\n    return nativeKeys(object);\n  }\n  var result = [];\n  for (var key in Object(object)) {\n    if (hasOwnProperty.call(object, key) && key != 'constructor') {\n      result.push(key);\n    }\n  }\n  return result;\n}\n\n/**\n * The base implementation of `_.rest` which doesn't validate or coerce arguments.\n *\n * @private\n * @param {Function} func The function to apply a rest parameter to.\n * @param {number} [start=func.length-1] The start position of the rest 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(func.length - 1) : start, 0);\n  return function() {\n    var args = arguments,\n        index = -1,\n        length = nativeMax(args.length - start, 0),\n        array = Array(length);\n\n    while (++index < length) {\n      array[index] = args[start + index];\n    }\n    index = -1;\n    var otherArgs = Array(start + 1);\n    while (++index < start) {\n      otherArgs[index] = args[index];\n    }\n    otherArgs[start] = array;\n    return apply(func, this, otherArgs);\n  };\n}\n\n/**\n * Copies properties of `source` to `object`.\n *\n * @private\n * @param {Object} source The object to copy properties from.\n * @param {Array} props The property identifiers to copy.\n * @param {Object} [object={}] The object to copy properties to.\n * @param {Function} [customizer] The function to customize copied values.\n * @returns {Object} Returns `object`.\n */\nfunction copyObject(source, props, object, customizer) {\n  object || (object = {});\n\n  var index = -1,\n      length = props.length;\n\n  while (++index < length) {\n    var key = props[index];\n\n    var newValue = customizer\n      ? customizer(object[key], source[key], key, object, source)\n      : undefined;\n\n    assignValue(object, key, newValue === undefined ? source[key] : newValue);\n  }\n  return object;\n}\n\n/**\n * Creates a function like `_.assign`.\n *\n * @private\n * @param {Function} assigner The function to assign values.\n * @returns {Function} Returns the new assigner function.\n */\nfunction createAssigner(assigner) {\n  return baseRest(function(object, sources) {\n    var index = -1,\n        length = sources.length,\n        customizer = length > 1 ? sources[length - 1] : undefined,\n        guard = length > 2 ? sources[2] : undefined;\n\n    customizer = (assigner.length > 3 && typeof customizer == 'function')\n      ? (length--, customizer)\n      : undefined;\n\n    if (guard && isIterateeCall(sources[0], sources[1], guard)) {\n      customizer = length < 3 ? undefined : customizer;\n      length = 1;\n    }\n    object = Object(object);\n    while (++index < length) {\n      var source = sources[index];\n      if (source) {\n        assigner(object, source, index, customizer);\n      }\n    }\n    return object;\n  });\n}\n\n/**\n * Checks if `value` is a valid array-like index.\n *\n * @private\n * @param {*} value The value to check.\n * @param {number} [length=MAX_SAFE_INTEGER] The upper bounds of a valid index.\n * @returns {boolean} Returns `true` if `value` is a valid index, else `false`.\n */\nfunction isIndex(value, length) {\n  length = length == null ? MAX_SAFE_INTEGER : length;\n  return !!length &&\n    (typeof value == 'number' || reIsUint.test(value)) &&\n    (value > -1 && value % 1 == 0 && value < length);\n}\n\n/**\n * Checks if the given arguments are from an iteratee call.\n *\n * @private\n * @param {*} value The potential iteratee value argument.\n * @param {*} index The potential iteratee index or key argument.\n * @param {*} object The potential iteratee object argument.\n * @returns {boolean} Returns `true` if the arguments are from an iteratee call,\n *  else `false`.\n */\nfunction isIterateeCall(value, index, object) {\n  if (!isObject(object)) {\n    return false;\n  }\n  var type = typeof index;\n  if (type == 'number'\n        ? (isArrayLike(object) && isIndex(index, object.length))\n        : (type == 'string' && index in object)\n      ) {\n    return eq(object[index], value);\n  }\n  return false;\n}\n\n/**\n * Checks if `value` is likely a prototype object.\n *\n * @private\n * @param {*} value The value to check.\n * @returns {boolean} Returns `true` if `value` is a prototype, else `false`.\n */\nfunction isPrototype(value) {\n  var Ctor = value && value.constructor,\n      proto = (typeof Ctor == 'function' && Ctor.prototype) || objectProto;\n\n  return value === proto;\n}\n\n/**\n * Performs a\n * [`SameValueZero`](http://ecma-international.org/ecma-262/7.0/#sec-samevaluezero)\n * comparison between two values to determine if they are equivalent.\n *\n * @static\n * @memberOf _\n * @since 4.0.0\n * @category Lang\n * @param {*} value The value to compare.\n * @param {*} other The other value to compare.\n * @returns {boolean} Returns `true` if the values are equivalent, else `false`.\n * @example\n *\n * var object = { 'a': 1 };\n * var other = { 'a': 1 };\n *\n * _.eq(object, object);\n * // => true\n *\n * _.eq(object, other);\n * // => false\n *\n * _.eq('a', 'a');\n * // => true\n *\n * _.eq('a', Object('a'));\n * // => false\n *\n * _.eq(NaN, NaN);\n * // => true\n */\nfunction eq(value, other) {\n  return value === other || (value !== value && other !== other);\n}\n\n/**\n * Checks if `value` is likely an `arguments` object.\n *\n * @static\n * @memberOf _\n * @since 0.1.0\n * @category Lang\n * @param {*} value The value to check.\n * @returns {boolean} Returns `true` if `value` is an `arguments` object,\n *  else `false`.\n * @example\n *\n * _.isArguments(function() { return arguments; }());\n * // => true\n *\n * _.isArguments([1, 2, 3]);\n * // => false\n */\nfunction isArguments(value) {\n  // Safari 8.1 makes `arguments.callee` enumerable in strict mode.\n  return isArrayLikeObject(value) && hasOwnProperty.call(value, 'callee') &&\n    (!propertyIsEnumerable.call(value, 'callee') || objectToString.call(value) == argsTag);\n}\n\n/**\n * Checks if `value` is classified as an `Array` object.\n *\n * @static\n * @memberOf _\n * @since 0.1.0\n * @category Lang\n * @param {*} value The value to check.\n * @returns {boolean} Returns `true` if `value` is an array, else `false`.\n * @example\n *\n * _.isArray([1, 2, 3]);\n * // => true\n *\n * _.isArray(document.body.children);\n * // => false\n *\n * _.isArray('abc');\n * // => false\n *\n * _.isArray(_.noop);\n * // => false\n */\nvar isArray = Array.isArray;\n\n/**\n * Checks if `value` is array-like. A value is considered array-like if it's\n * not a function and has a `value.length` that's an integer greater than or\n * equal to `0` and less than or equal to `Number.MAX_SAFE_INTEGER`.\n *\n * @static\n * @memberOf _\n * @since 4.0.0\n * @category Lang\n * @param {*} value The value to check.\n * @returns {boolean} Returns `true` if `value` is array-like, else `false`.\n * @example\n *\n * _.isArrayLike([1, 2, 3]);\n * // => true\n *\n * _.isArrayLike(document.body.children);\n * // => true\n *\n * _.isArrayLike('abc');\n * // => true\n *\n * _.isArrayLike(_.noop);\n * // => false\n */\nfunction isArrayLike(value) {\n  return value != null && isLength(value.length) && !isFunction(value);\n}\n\n/**\n * This method is like `_.isArrayLike` except that it also checks if `value`\n * is an object.\n *\n * @static\n * @memberOf _\n * @since 4.0.0\n * @category Lang\n * @param {*} value The value to check.\n * @returns {boolean} Returns `true` if `value` is an array-like object,\n *  else `false`.\n * @example\n *\n * _.isArrayLikeObject([1, 2, 3]);\n * // => true\n *\n * _.isArrayLikeObject(document.body.children);\n * // => true\n *\n * _.isArrayLikeObject('abc');\n * // => false\n *\n * _.isArrayLikeObject(_.noop);\n * // => false\n */\nfunction isArrayLikeObject(value) {\n  return isObjectLike(value) && isArrayLike(value);\n}\n\n/**\n * Checks if `value` is classified as a `Function` object.\n *\n * @static\n * @memberOf _\n * @since 0.1.0\n * @category Lang\n * @param {*} value The value to check.\n * @returns {boolean} Returns `true` if `value` is a function, else `false`.\n * @example\n *\n * _.isFunction(_);\n * // => true\n *\n * _.isFunction(/abc/);\n * // => false\n */\nfunction isFunction(value) {\n  // The use of `Object#toString` avoids issues with the `typeof` operator\n  // in Safari 8-9 which returns 'object' for typed array and other constructors.\n  var tag = isObject(value) ? objectToString.call(value) : '';\n  return tag == funcTag || tag == genTag;\n}\n\n/**\n * Checks if `value` is a valid array-like length.\n *\n * **Note:** This method is loosely based on\n * [`ToLength`](http://ecma-international.org/ecma-262/7.0/#sec-tolength).\n *\n * @static\n * @memberOf _\n * @since 4.0.0\n * @category Lang\n * @param {*} value The value to check.\n * @returns {boolean} Returns `true` if `value` is a valid length, else `false`.\n * @example\n *\n * _.isLength(3);\n * // => true\n *\n * _.isLength(Number.MIN_VALUE);\n * // => false\n *\n * _.isLength(Infinity);\n * // => false\n *\n * _.isLength('3');\n * // => false\n */\nfunction isLength(value) {\n  return typeof value == 'number' &&\n    value > -1 && value % 1 == 0 && value <= MAX_SAFE_INTEGER;\n}\n\n/**\n * Checks if `value` is the\n * [language type](http://www.ecma-international.org/ecma-262/7.0/#sec-ecmascript-language-types)\n * of `Object`. (e.g. arrays, functions, objects, regexes, `new Number(0)`, and `new String('')`)\n *\n * @static\n * @memberOf _\n * @since 0.1.0\n * @category Lang\n * @param {*} value The value to check.\n * @returns {boolean} Returns `true` if `value` is an object, else `false`.\n * @example\n *\n * _.isObject({});\n * // => true\n *\n * _.isObject([1, 2, 3]);\n * // => true\n *\n * _.isObject(_.noop);\n * // => true\n *\n * _.isObject(null);\n * // => false\n */\nfunction isObject(value) {\n  var type = typeof value;\n  return !!value && (type == 'object' || type == 'function');\n}\n\n/**\n * Checks if `value` is object-like. A value is object-like if it's not `null`\n * and has a `typeof` result of \"object\".\n *\n * @static\n * @memberOf _\n * @since 4.0.0\n * @category Lang\n * @param {*} value The value to check.\n * @returns {boolean} Returns `true` if `value` is object-like, else `false`.\n * @example\n *\n * _.isObjectLike({});\n * // => true\n *\n * _.isObjectLike([1, 2, 3]);\n * // => true\n *\n * _.isObjectLike(_.noop);\n * // => false\n *\n * _.isObjectLike(null);\n * // => false\n */\nfunction isObjectLike(value) {\n  return !!value && typeof value == 'object';\n}\n\n/**\n * Assigns own enumerable string keyed properties of source objects to the\n * destination object. Source objects are applied from left to right.\n * Subsequent sources overwrite property assignments of previous sources.\n *\n * **Note:** This method mutates `object` and is loosely based on\n * [`Object.assign`](https://mdn.io/Object/assign).\n *\n * @static\n * @memberOf _\n * @since 0.10.0\n * @category Object\n * @param {Object} object The destination object.\n * @param {...Object} [sources] The source objects.\n * @returns {Object} Returns `object`.\n * @see _.assignIn\n * @example\n *\n * function Foo() {\n *   this.a = 1;\n * }\n *\n * function Bar() {\n *   this.c = 3;\n * }\n *\n * Foo.prototype.b = 2;\n * Bar.prototype.d = 4;\n *\n * _.assign({ 'a': 0 }, new Foo, new Bar);\n * // => { 'a': 1, 'c': 3 }\n */\nvar assign = createAssigner(function(object, source) {\n  if (nonEnumShadows || isPrototype(source) || isArrayLike(source)) {\n    copyObject(source, keys(source), object);\n    return;\n  }\n  for (var key in source) {\n    if (hasOwnProperty.call(source, key)) {\n      assignValue(object, key, source[key]);\n    }\n  }\n});\n\n/**\n * Creates an array of the own enumerable property names of `object`.\n *\n * **Note:** Non-object values are coerced to objects. See the\n * [ES spec](http://ecma-international.org/ecma-262/7.0/#sec-object.keys)\n * for more details.\n *\n * @static\n * @since 0.1.0\n * @memberOf _\n * @category Object\n * @param {Object} object The object to query.\n * @returns {Array} Returns the array of property names.\n * @example\n *\n * function Foo() {\n *   this.a = 1;\n *   this.b = 2;\n * }\n *\n * Foo.prototype.c = 3;\n *\n * _.keys(new Foo);\n * // => ['a', 'b'] (iteration order is not guaranteed)\n *\n * _.keys('hi');\n * // => ['0', '1']\n */\nfunction keys(object) {\n  return isArrayLike(object) ? arrayLikeKeys(object) : baseKeys(object);\n}\n\nmodule.exports = assign;\n\n\n/***/ }),\n\n/***/ \"44ad\":\n/***/ (function(module, exports, __webpack_require__) {\n\nvar fails = __webpack_require__(\"d039\");\nvar classof = __webpack_require__(\"c6b6\");\n\nvar split = ''.split;\n\n// fallback for non-array-like ES3 and non-enumerable old V8 strings\nmodule.exports = fails(function () {\n  // throws an error in rhino, see https://github.com/mozilla/rhino/issues/346\n  // eslint-disable-next-line no-prototype-builtins\n  return !Object('z').propertyIsEnumerable(0);\n}) ? function (it) {\n  return classof(it) == 'String' ? split.call(it, '') : Object(it);\n} : Object;\n\n\n/***/ }),\n\n/***/ \"44d2\":\n/***/ (function(module, exports, __webpack_require__) {\n\nvar wellKnownSymbol = __webpack_require__(\"b622\");\nvar create = __webpack_require__(\"7c73\");\nvar definePropertyModule = __webpack_require__(\"9bf2\");\n\nvar UNSCOPABLES = wellKnownSymbol('unscopables');\nvar ArrayPrototype = Array.prototype;\n\n// Array.prototype[@@unscopables]\n// https://tc39.github.io/ecma262/#sec-array.prototype-@@unscopables\nif (ArrayPrototype[UNSCOPABLES] == undefined) {\n  definePropertyModule.f(ArrayPrototype, UNSCOPABLES, {\n    configurable: true,\n    value: create(null)\n  });\n}\n\n// add a key to Array.prototype[@@unscopables]\nmodule.exports = function (key) {\n  ArrayPrototype[UNSCOPABLES][key] = true;\n};\n\n\n/***/ }),\n\n/***/ \"44e7\":\n/***/ (function(module, exports, __webpack_require__) {\n\nvar isObject = __webpack_require__(\"861d\");\nvar classof = __webpack_require__(\"c6b6\");\nvar wellKnownSymbol = __webpack_require__(\"b622\");\n\nvar MATCH = wellKnownSymbol('match');\n\n// `IsRegExp` abstract operation\n// https://tc39.github.io/ecma262/#sec-isregexp\nmodule.exports = function (it) {\n  var isRegExp;\n  return isObject(it) && ((isRegExp = it[MATCH]) !== undefined ? !!isRegExp : classof(it) == 'RegExp');\n};\n\n\n/***/ }),\n\n/***/ \"466d\":\n/***/ (function(module, exports, __webpack_require__) {\n\n\"use strict\";\n\nvar fixRegExpWellKnownSymbolLogic = __webpack_require__(\"d784\");\nvar anObject = __webpack_require__(\"825a\");\nvar toLength = __webpack_require__(\"50c4\");\nvar requireObjectCoercible = __webpack_require__(\"1d80\");\nvar advanceStringIndex = __webpack_require__(\"8aa5\");\nvar regExpExec = __webpack_require__(\"14c3\");\n\n// @@match logic\nfixRegExpWellKnownSymbolLogic('match', 1, function (MATCH, nativeMatch, maybeCallNative) {\n  return [\n    // `String.prototype.match` method\n    // https://tc39.github.io/ecma262/#sec-string.prototype.match\n    function match(regexp) {\n      var O = requireObjectCoercible(this);\n      var matcher = regexp == undefined ? undefined : regexp[MATCH];\n      return matcher !== undefined ? matcher.call(regexp, O) : new RegExp(regexp)[MATCH](String(O));\n    },\n    // `RegExp.prototype[@@match]` method\n    // https://tc39.github.io/ecma262/#sec-regexp.prototype-@@match\n    function (regexp) {\n      var res = maybeCallNative(nativeMatch, regexp, this);\n      if (res.done) return res.value;\n\n      var rx = anObject(regexp);\n      var S = String(this);\n\n      if (!rx.global) return regExpExec(rx, S);\n\n      var fullUnicode = rx.unicode;\n      rx.lastIndex = 0;\n      var A = [];\n      var n = 0;\n      var result;\n      while ((result = regExpExec(rx, S)) !== null) {\n        var matchStr = String(result[0]);\n        A[n] = matchStr;\n        if (matchStr === '') rx.lastIndex = advanceStringIndex(S, toLength(rx.lastIndex), fullUnicode);\n        n++;\n      }\n      return n === 0 ? null : A;\n    }\n  ];\n});\n\n\n/***/ }),\n\n/***/ \"4840\":\n/***/ (function(module, exports, __webpack_require__) {\n\nvar anObject = __webpack_require__(\"825a\");\nvar aFunction = __webpack_require__(\"1c0b\");\nvar wellKnownSymbol = __webpack_require__(\"b622\");\n\nvar SPECIES = wellKnownSymbol('species');\n\n// `SpeciesConstructor` abstract operation\n// https://tc39.github.io/ecma262/#sec-speciesconstructor\nmodule.exports = function (O, defaultConstructor) {\n  var C = anObject(O).constructor;\n  var S;\n  return C === undefined || (S = anObject(C)[SPECIES]) == undefined ? defaultConstructor : aFunction(S);\n};\n\n\n/***/ }),\n\n/***/ \"4930\":\n/***/ (function(module, exports, __webpack_require__) {\n\nvar fails = __webpack_require__(\"d039\");\n\nmodule.exports = !!Object.getOwnPropertySymbols && !fails(function () {\n  // Chrome 38 Symbol has incorrect toString conversion\n  // eslint-disable-next-line no-undef\n  return !String(Symbol());\n});\n\n\n/***/ }),\n\n/***/ \"4d64\":\n/***/ (function(module, exports, __webpack_require__) {\n\nvar toIndexedObject = __webpack_require__(\"fc6a\");\nvar toLength = __webpack_require__(\"50c4\");\nvar toAbsoluteIndex = __webpack_require__(\"23cb\");\n\n// `Array.prototype.{ indexOf, includes }` methods implementation\nvar createMethod = function (IS_INCLUDES) {\n  return function ($this, el, fromIndex) {\n    var O = toIndexedObject($this);\n    var length = toLength(O.length);\n    var index = toAbsoluteIndex(fromIndex, length);\n    var value;\n    // Array#includes uses SameValueZero equality algorithm\n    // eslint-disable-next-line no-self-compare\n    if (IS_INCLUDES && el != el) while (length > index) {\n      value = O[index++];\n      // eslint-disable-next-line no-self-compare\n      if (value != value) return true;\n    // Array#indexOf ignores holes, Array#includes - not\n    } else for (;length > index; index++) {\n      if ((IS_INCLUDES || index in O) && O[index] === el) return IS_INCLUDES || index || 0;\n    } return !IS_INCLUDES && -1;\n  };\n};\n\nmodule.exports = {\n  // `Array.prototype.includes` method\n  // https://tc39.github.io/ecma262/#sec-array.prototype.includes\n  includes: createMethod(true),\n  // `Array.prototype.indexOf` method\n  // https://tc39.github.io/ecma262/#sec-array.prototype.indexof\n  indexOf: createMethod(false)\n};\n\n\n/***/ }),\n\n/***/ \"4de4\":\n/***/ (function(module, exports, __webpack_require__) {\n\n\"use strict\";\n\nvar $ = __webpack_require__(\"23e7\");\nvar $filter = __webpack_require__(\"b727\").filter;\nvar arrayMethodHasSpeciesSupport = __webpack_require__(\"1dde\");\nvar arrayMethodUsesToLength = __webpack_require__(\"ae40\");\n\nvar HAS_SPECIES_SUPPORT = arrayMethodHasSpeciesSupport('filter');\n// Edge 14- issue\nvar USES_TO_LENGTH = arrayMethodUsesToLength('filter');\n\n// `Array.prototype.filter` method\n// https://tc39.github.io/ecma262/#sec-array.prototype.filter\n// with adding support of @@species\n$({ target: 'Array', proto: true, forced: !HAS_SPECIES_SUPPORT || !USES_TO_LENGTH }, {\n  filter: function filter(callbackfn /* , thisArg */) {\n    return $filter(this, callbackfn, arguments.length > 1 ? arguments[1] : undefined);\n  }\n});\n\n\n/***/ }),\n\n/***/ \"4df4\":\n/***/ (function(module, exports, __webpack_require__) {\n\n\"use strict\";\n\nvar bind = __webpack_require__(\"0366\");\nvar toObject = __webpack_require__(\"7b0b\");\nvar callWithSafeIterationClosing = __webpack_require__(\"9bdd\");\nvar isArrayIteratorMethod = __webpack_require__(\"e95a\");\nvar toLength = __webpack_require__(\"50c4\");\nvar createProperty = __webpack_require__(\"8418\");\nvar getIteratorMethod = __webpack_require__(\"35a1\");\n\n// `Array.from` method implementation\n// https://tc39.github.io/ecma262/#sec-array.from\nmodule.exports = function from(arrayLike /* , mapfn = undefined, thisArg = undefined */) {\n  var O = toObject(arrayLike);\n  var C = typeof this == 'function' ? this : Array;\n  var argumentsLength = arguments.length;\n  var mapfn = argumentsLength > 1 ? arguments[1] : undefined;\n  var mapping = mapfn !== undefined;\n  var iteratorMethod = getIteratorMethod(O);\n  var index = 0;\n  var length, result, step, iterator, next, value;\n  if (mapping) mapfn = bind(mapfn, argumentsLength > 2 ? arguments[2] : undefined, 2);\n  // if the target is not iterable or it's an array with the default iterator - use a simple case\n  if (iteratorMethod != undefined && !(C == Array && isArrayIteratorMethod(iteratorMethod))) {\n    iterator = iteratorMethod.call(O);\n    next = iterator.next;\n    result = new C();\n    for (;!(step = next.call(iterator)).done; index++) {\n      value = mapping ? callWithSafeIterationClosing(iterator, mapfn, [step.value, index], true) : step.value;\n      createProperty(result, index, value);\n    }\n  } else {\n    length = toLength(O.length);\n    result = new C(length);\n    for (;length > index; index++) {\n      value = mapping ? mapfn(O[index], index) : O[index];\n      createProperty(result, index, value);\n    }\n  }\n  result.length = index;\n  return result;\n};\n\n\n/***/ }),\n\n/***/ \"50c4\":\n/***/ (function(module, exports, __webpack_require__) {\n\nvar toInteger = __webpack_require__(\"a691\");\n\nvar min = Math.min;\n\n// `ToLength` abstract operation\n// https://tc39.github.io/ecma262/#sec-tolength\nmodule.exports = function (argument) {\n  return argument > 0 ? min(toInteger(argument), 0x1FFFFFFFFFFFFF) : 0; // 2 ** 53 - 1 == 9007199254740991\n};\n\n\n/***/ }),\n\n/***/ \"5135\":\n/***/ (function(module, exports) {\n\nvar hasOwnProperty = {}.hasOwnProperty;\n\nmodule.exports = function (it, key) {\n  return hasOwnProperty.call(it, key);\n};\n\n\n/***/ }),\n\n/***/ \"5692\":\n/***/ (function(module, exports, __webpack_require__) {\n\nvar IS_PURE = __webpack_require__(\"c430\");\nvar store = __webpack_require__(\"c6cd\");\n\n(module.exports = function (key, value) {\n  return store[key] || (store[key] = value !== undefined ? value : {});\n})('versions', []).push({\n  version: '3.6.4',\n  mode: IS_PURE ? 'pure' : 'global',\n  copyright: '© 2020 Denis Pushkarev (zloirock.ru)'\n});\n\n\n/***/ }),\n\n/***/ \"56ef\":\n/***/ (function(module, exports, __webpack_require__) {\n\nvar getBuiltIn = __webpack_require__(\"d066\");\nvar getOwnPropertyNamesModule = __webpack_require__(\"241c\");\nvar getOwnPropertySymbolsModule = __webpack_require__(\"7418\");\nvar anObject = __webpack_require__(\"825a\");\n\n// all object keys, includes non-enumerable and symbols\nmodule.exports = getBuiltIn('Reflect', 'ownKeys') || function ownKeys(it) {\n  var keys = getOwnPropertyNamesModule.f(anObject(it));\n  var getOwnPropertySymbols = getOwnPropertySymbolsModule.f;\n  return getOwnPropertySymbols ? keys.concat(getOwnPropertySymbols(it)) : keys;\n};\n\n\n/***/ }),\n\n/***/ \"5899\":\n/***/ (function(module, exports) {\n\n// a string of all valid unicode whitespaces\n// eslint-disable-next-line max-len\nmodule.exports = '\\u0009\\u000A\\u000B\\u000C\\u000D\\u0020\\u00A0\\u1680\\u2000\\u2001\\u2002\\u2003\\u2004\\u2005\\u2006\\u2007\\u2008\\u2009\\u200A\\u202F\\u205F\\u3000\\u2028\\u2029\\uFEFF';\n\n\n/***/ }),\n\n/***/ \"58a8\":\n/***/ (function(module, exports, __webpack_require__) {\n\nvar requireObjectCoercible = __webpack_require__(\"1d80\");\nvar whitespaces = __webpack_require__(\"5899\");\n\nvar whitespace = '[' + whitespaces + ']';\nvar ltrim = RegExp('^' + whitespace + whitespace + '*');\nvar rtrim = RegExp(whitespace + whitespace + '*$');\n\n// `String.prototype.{ trim, trimStart, trimEnd, trimLeft, trimRight }` methods implementation\nvar createMethod = function (TYPE) {\n  return function ($this) {\n    var string = String(requireObjectCoercible($this));\n    if (TYPE & 1) string = string.replace(ltrim, '');\n    if (TYPE & 2) string = string.replace(rtrim, '');\n    return string;\n  };\n};\n\nmodule.exports = {\n  // `String.prototype.{ trimLeft, trimStart }` methods\n  // https://tc39.github.io/ecma262/#sec-string.prototype.trimstart\n  start: createMethod(1),\n  // `String.prototype.{ trimRight, trimEnd }` methods\n  // https://tc39.github.io/ecma262/#sec-string.prototype.trimend\n  end: createMethod(2),\n  // `String.prototype.trim` method\n  // https://tc39.github.io/ecma262/#sec-string.prototype.trim\n  trim: createMethod(3)\n};\n\n\n/***/ }),\n\n/***/ \"5c6c\":\n/***/ (function(module, exports) {\n\nmodule.exports = function (bitmap, value) {\n  return {\n    enumerable: !(bitmap & 1),\n    configurable: !(bitmap & 2),\n    writable: !(bitmap & 4),\n    value: value\n  };\n};\n\n\n/***/ }),\n\n/***/ \"60da\":\n/***/ (function(module, exports, __webpack_require__) {\n\n\"use strict\";\n\nvar DESCRIPTORS = __webpack_require__(\"83ab\");\nvar fails = __webpack_require__(\"d039\");\nvar objectKeys = __webpack_require__(\"df75\");\nvar getOwnPropertySymbolsModule = __webpack_require__(\"7418\");\nvar propertyIsEnumerableModule = __webpack_require__(\"d1e7\");\nvar toObject = __webpack_require__(\"7b0b\");\nvar IndexedObject = __webpack_require__(\"44ad\");\n\nvar nativeAssign = Object.assign;\nvar defineProperty = Object.defineProperty;\n\n// `Object.assign` method\n// https://tc39.github.io/ecma262/#sec-object.assign\nmodule.exports = !nativeAssign || fails(function () {\n  // should have correct order of operations (Edge bug)\n  if (DESCRIPTORS && nativeAssign({ b: 1 }, nativeAssign(defineProperty({}, 'a', {\n    enumerable: true,\n    get: function () {\n      defineProperty(this, 'b', {\n        value: 3,\n        enumerable: false\n      });\n    }\n  }), { b: 2 })).b !== 1) return true;\n  // should work with symbols and should have deterministic property order (V8 bug)\n  var A = {};\n  var B = {};\n  // eslint-disable-next-line no-undef\n  var symbol = Symbol();\n  var alphabet = 'abcdefghijklmnopqrst';\n  A[symbol] = 7;\n  alphabet.split('').forEach(function (chr) { B[chr] = chr; });\n  return nativeAssign({}, A)[symbol] != 7 || objectKeys(nativeAssign({}, B)).join('') != alphabet;\n}) ? function assign(target, source) { // eslint-disable-line no-unused-vars\n  var T = toObject(target);\n  var argumentsLength = arguments.length;\n  var index = 1;\n  var getOwnPropertySymbols = getOwnPropertySymbolsModule.f;\n  var propertyIsEnumerable = propertyIsEnumerableModule.f;\n  while (argumentsLength > index) {\n    var S = IndexedObject(arguments[index++]);\n    var keys = getOwnPropertySymbols ? objectKeys(S).concat(getOwnPropertySymbols(S)) : objectKeys(S);\n    var length = keys.length;\n    var j = 0;\n    var key;\n    while (length > j) {\n      key = keys[j++];\n      if (!DESCRIPTORS || propertyIsEnumerable.call(S, key)) T[key] = S[key];\n    }\n  } return T;\n} : nativeAssign;\n\n\n/***/ }),\n\n/***/ \"6547\":\n/***/ (function(module, exports, __webpack_require__) {\n\nvar toInteger = __webpack_require__(\"a691\");\nvar requireObjectCoercible = __webpack_require__(\"1d80\");\n\n// `String.prototype.{ codePointAt, at }` methods implementation\nvar createMethod = function (CONVERT_TO_STRING) {\n  return function ($this, pos) {\n    var S = String(requireObjectCoercible($this));\n    var position = toInteger(pos);\n    var size = S.length;\n    var first, second;\n    if (position < 0 || position >= size) return CONVERT_TO_STRING ? '' : undefined;\n    first = S.charCodeAt(position);\n    return first < 0xD800 || first > 0xDBFF || position + 1 === size\n      || (second = S.charCodeAt(position + 1)) < 0xDC00 || second > 0xDFFF\n        ? CONVERT_TO_STRING ? S.charAt(position) : first\n        : CONVERT_TO_STRING ? S.slice(position, position + 2) : (first - 0xD800 << 10) + (second - 0xDC00) + 0x10000;\n  };\n};\n\nmodule.exports = {\n  // `String.prototype.codePointAt` method\n  // https://tc39.github.io/ecma262/#sec-string.prototype.codepointat\n  codeAt: createMethod(false),\n  // `String.prototype.at` method\n  // https://github.com/mathiasbynens/String.prototype.at\n  charAt: createMethod(true)\n};\n\n\n/***/ }),\n\n/***/ \"65f0\":\n/***/ (function(module, exports, __webpack_require__) {\n\nvar isObject = __webpack_require__(\"861d\");\nvar isArray = __webpack_require__(\"e8b5\");\nvar wellKnownSymbol = __webpack_require__(\"b622\");\n\nvar SPECIES = wellKnownSymbol('species');\n\n// `ArraySpeciesCreate` abstract operation\n// https://tc39.github.io/ecma262/#sec-arrayspeciescreate\nmodule.exports = function (originalArray, length) {\n  var C;\n  if (isArray(originalArray)) {\n    C = originalArray.constructor;\n    // cross-realm fallback\n    if (typeof C == 'function' && (C === Array || isArray(C.prototype))) C = undefined;\n    else if (isObject(C)) {\n      C = C[SPECIES];\n      if (C === null) C = undefined;\n    }\n  } return new (C === undefined ? Array : C)(length === 0 ? 0 : length);\n};\n\n\n/***/ }),\n\n/***/ \"69f3\":\n/***/ (function(module, exports, __webpack_require__) {\n\nvar NATIVE_WEAK_MAP = __webpack_require__(\"7f9a\");\nvar global = __webpack_require__(\"da84\");\nvar isObject = __webpack_require__(\"861d\");\nvar createNonEnumerableProperty = __webpack_require__(\"9112\");\nvar objectHas = __webpack_require__(\"5135\");\nvar sharedKey = __webpack_require__(\"f772\");\nvar hiddenKeys = __webpack_require__(\"d012\");\n\nvar WeakMap = global.WeakMap;\nvar set, get, has;\n\nvar enforce = function (it) {\n  return has(it) ? get(it) : set(it, {});\n};\n\nvar getterFor = function (TYPE) {\n  return function (it) {\n    var state;\n    if (!isObject(it) || (state = get(it)).type !== TYPE) {\n      throw TypeError('Incompatible receiver, ' + TYPE + ' required');\n    } return state;\n  };\n};\n\nif (NATIVE_WEAK_MAP) {\n  var store = new WeakMap();\n  var wmget = store.get;\n  var wmhas = store.has;\n  var wmset = store.set;\n  set = function (it, metadata) {\n    wmset.call(store, it, metadata);\n    return metadata;\n  };\n  get = function (it) {\n    return wmget.call(store, it) || {};\n  };\n  has = function (it) {\n    return wmhas.call(store, it);\n  };\n} else {\n  var STATE = sharedKey('state');\n  hiddenKeys[STATE] = true;\n  set = function (it, metadata) {\n    createNonEnumerableProperty(it, STATE, metadata);\n    return metadata;\n  };\n  get = function (it) {\n    return objectHas(it, STATE) ? it[STATE] : {};\n  };\n  has = function (it) {\n    return objectHas(it, STATE);\n  };\n}\n\nmodule.exports = {\n  set: set,\n  get: get,\n  has: has,\n  enforce: enforce,\n  getterFor: getterFor\n};\n\n\n/***/ }),\n\n/***/ \"6dd8\":\n/***/ (function(module, __webpack_exports__, __webpack_require__) {\n\n\"use strict\";\n/* WEBPACK VAR INJECTION */(function(global) {/**\r\n * A collection of shims that provide minimal functionality of the ES6 collections.\r\n *\r\n * These implementations are not meant to be used outside of the ResizeObserver\r\n * modules as they cover only a limited range of use cases.\r\n */\r\n/* eslint-disable require-jsdoc, valid-jsdoc */\r\nvar MapShim = (function () {\r\n    if (typeof Map !== 'undefined') {\r\n        return Map;\r\n    }\r\n    /**\r\n     * Returns index in provided array that matches the specified key.\r\n     *\r\n     * @param {Array<Array>} arr\r\n     * @param {*} key\r\n     * @returns {number}\r\n     */\r\n    function getIndex(arr, key) {\r\n        var result = -1;\r\n        arr.some(function (entry, index) {\r\n            if (entry[0] === key) {\r\n                result = index;\r\n                return true;\r\n            }\r\n            return false;\r\n        });\r\n        return result;\r\n    }\r\n    return /** @class */ (function () {\r\n        function class_1() {\r\n            this.__entries__ = [];\r\n        }\r\n        Object.defineProperty(class_1.prototype, \"size\", {\r\n            /**\r\n             * @returns {boolean}\r\n             */\r\n            get: function () {\r\n                return this.__entries__.length;\r\n            },\r\n            enumerable: true,\r\n            configurable: true\r\n        });\r\n        /**\r\n         * @param {*} key\r\n         * @returns {*}\r\n         */\r\n        class_1.prototype.get = function (key) {\r\n            var index = getIndex(this.__entries__, key);\r\n            var entry = this.__entries__[index];\r\n            return entry && entry[1];\r\n        };\r\n        /**\r\n         * @param {*} key\r\n         * @param {*} value\r\n         * @returns {void}\r\n         */\r\n        class_1.prototype.set = function (key, value) {\r\n            var index = getIndex(this.__entries__, key);\r\n            if (~index) {\r\n                this.__entries__[index][1] = value;\r\n            }\r\n            else {\r\n                this.__entries__.push([key, value]);\r\n            }\r\n        };\r\n        /**\r\n         * @param {*} key\r\n         * @returns {void}\r\n         */\r\n        class_1.prototype.delete = function (key) {\r\n            var entries = this.__entries__;\r\n            var index = getIndex(entries, key);\r\n            if (~index) {\r\n                entries.splice(index, 1);\r\n            }\r\n        };\r\n        /**\r\n         * @param {*} key\r\n         * @returns {void}\r\n         */\r\n        class_1.prototype.has = function (key) {\r\n            return !!~getIndex(this.__entries__, key);\r\n        };\r\n        /**\r\n         * @returns {void}\r\n         */\r\n        class_1.prototype.clear = function () {\r\n            this.__entries__.splice(0);\r\n        };\r\n        /**\r\n         * @param {Function} callback\r\n         * @param {*} [ctx=null]\r\n         * @returns {void}\r\n         */\r\n        class_1.prototype.forEach = function (callback, ctx) {\r\n            if (ctx === void 0) { ctx = null; }\r\n            for (var _i = 0, _a = this.__entries__; _i < _a.length; _i++) {\r\n                var entry = _a[_i];\r\n                callback.call(ctx, entry[1], entry[0]);\r\n            }\r\n        };\r\n        return class_1;\r\n    }());\r\n})();\n\n/**\r\n * Detects whether window and document objects are available in current environment.\r\n */\r\nvar isBrowser = typeof window !== 'undefined' && typeof document !== 'undefined' && window.document === document;\n\n// Returns global object of a current environment.\r\nvar global$1 = (function () {\r\n    if (typeof global !== 'undefined' && global.Math === Math) {\r\n        return global;\r\n    }\r\n    if (typeof self !== 'undefined' && self.Math === Math) {\r\n        return self;\r\n    }\r\n    if (typeof window !== 'undefined' && window.Math === Math) {\r\n        return window;\r\n    }\r\n    // eslint-disable-next-line no-new-func\r\n    return Function('return this')();\r\n})();\n\n/**\r\n * A shim for the requestAnimationFrame which falls back to the setTimeout if\r\n * first one is not supported.\r\n *\r\n * @returns {number} Requests' identifier.\r\n */\r\nvar requestAnimationFrame$1 = (function () {\r\n    if (typeof requestAnimationFrame === 'function') {\r\n        // It's required to use a bounded function because IE sometimes throws\r\n        // an \"Invalid calling object\" error if rAF is invoked without the global\r\n        // object on the left hand side.\r\n        return requestAnimationFrame.bind(global$1);\r\n    }\r\n    return function (callback) { return setTimeout(function () { return callback(Date.now()); }, 1000 / 60); };\r\n})();\n\n// Defines minimum timeout before adding a trailing call.\r\nvar trailingTimeout = 2;\r\n/**\r\n * Creates a wrapper function which ensures that provided callback will be\r\n * invoked only once during the specified delay period.\r\n *\r\n * @param {Function} callback - Function to be invoked after the delay period.\r\n * @param {number} delay - Delay after which to invoke callback.\r\n * @returns {Function}\r\n */\r\nfunction throttle (callback, delay) {\r\n    var leadingCall = false, trailingCall = false, lastCallTime = 0;\r\n    /**\r\n     * Invokes the original callback function and schedules new invocation if\r\n     * the \"proxy\" was called during current request.\r\n     *\r\n     * @returns {void}\r\n     */\r\n    function resolvePending() {\r\n        if (leadingCall) {\r\n            leadingCall = false;\r\n            callback();\r\n        }\r\n        if (trailingCall) {\r\n            proxy();\r\n        }\r\n    }\r\n    /**\r\n     * Callback invoked after the specified delay. It will further postpone\r\n     * invocation of the original function delegating it to the\r\n     * requestAnimationFrame.\r\n     *\r\n     * @returns {void}\r\n     */\r\n    function timeoutCallback() {\r\n        requestAnimationFrame$1(resolvePending);\r\n    }\r\n    /**\r\n     * Schedules invocation of the original function.\r\n     *\r\n     * @returns {void}\r\n     */\r\n    function proxy() {\r\n        var timeStamp = Date.now();\r\n        if (leadingCall) {\r\n            // Reject immediately following calls.\r\n            if (timeStamp - lastCallTime < trailingTimeout) {\r\n                return;\r\n            }\r\n            // Schedule new call to be in invoked when the pending one is resolved.\r\n            // This is important for \"transitions\" which never actually start\r\n            // immediately so there is a chance that we might miss one if change\r\n            // happens amids the pending invocation.\r\n            trailingCall = true;\r\n        }\r\n        else {\r\n            leadingCall = true;\r\n            trailingCall = false;\r\n            setTimeout(timeoutCallback, delay);\r\n        }\r\n        lastCallTime = timeStamp;\r\n    }\r\n    return proxy;\r\n}\n\n// Minimum delay before invoking the update of observers.\r\nvar REFRESH_DELAY = 20;\r\n// A list of substrings of CSS properties used to find transition events that\r\n// might affect dimensions of observed elements.\r\nvar transitionKeys = ['top', 'right', 'bottom', 'left', 'width', 'height', 'size', 'weight'];\r\n// Check if MutationObserver is available.\r\nvar mutationObserverSupported = typeof MutationObserver !== 'undefined';\r\n/**\r\n * Singleton controller class which handles updates of ResizeObserver instances.\r\n */\r\nvar ResizeObserverController = /** @class */ (function () {\r\n    /**\r\n     * Creates a new instance of ResizeObserverController.\r\n     *\r\n     * @private\r\n     */\r\n    function ResizeObserverController() {\r\n        /**\r\n         * Indicates whether DOM listeners have been added.\r\n         *\r\n         * @private {boolean}\r\n         */\r\n        this.connected_ = false;\r\n        /**\r\n         * Tells that controller has subscribed for Mutation Events.\r\n         *\r\n         * @private {boolean}\r\n         */\r\n        this.mutationEventsAdded_ = false;\r\n        /**\r\n         * Keeps reference to the instance of MutationObserver.\r\n         *\r\n         * @private {MutationObserver}\r\n         */\r\n        this.mutationsObserver_ = null;\r\n        /**\r\n         * A list of connected observers.\r\n         *\r\n         * @private {Array<ResizeObserverSPI>}\r\n         */\r\n        this.observers_ = [];\r\n        this.onTransitionEnd_ = this.onTransitionEnd_.bind(this);\r\n        this.refresh = throttle(this.refresh.bind(this), REFRESH_DELAY);\r\n    }\r\n    /**\r\n     * Adds observer to observers list.\r\n     *\r\n     * @param {ResizeObserverSPI} observer - Observer to be added.\r\n     * @returns {void}\r\n     */\r\n    ResizeObserverController.prototype.addObserver = function (observer) {\r\n        if (!~this.observers_.indexOf(observer)) {\r\n            this.observers_.push(observer);\r\n        }\r\n        // Add listeners if they haven't been added yet.\r\n        if (!this.connected_) {\r\n            this.connect_();\r\n        }\r\n    };\r\n    /**\r\n     * Removes observer from observers list.\r\n     *\r\n     * @param {ResizeObserverSPI} observer - Observer to be removed.\r\n     * @returns {void}\r\n     */\r\n    ResizeObserverController.prototype.removeObserver = function (observer) {\r\n        var observers = this.observers_;\r\n        var index = observers.indexOf(observer);\r\n        // Remove observer if it's present in registry.\r\n        if (~index) {\r\n            observers.splice(index, 1);\r\n        }\r\n        // Remove listeners if controller has no connected observers.\r\n        if (!observers.length && this.connected_) {\r\n            this.disconnect_();\r\n        }\r\n    };\r\n    /**\r\n     * Invokes the update of observers. It will continue running updates insofar\r\n     * it detects changes.\r\n     *\r\n     * @returns {void}\r\n     */\r\n    ResizeObserverController.prototype.refresh = function () {\r\n        var changesDetected = this.updateObservers_();\r\n        // Continue running updates if changes have been detected as there might\r\n        // be future ones caused by CSS transitions.\r\n        if (changesDetected) {\r\n            this.refresh();\r\n        }\r\n    };\r\n    /**\r\n     * Updates every observer from observers list and notifies them of queued\r\n     * entries.\r\n     *\r\n     * @private\r\n     * @returns {boolean} Returns \"true\" if any observer has detected changes in\r\n     *      dimensions of it's elements.\r\n     */\r\n    ResizeObserverController.prototype.updateObservers_ = function () {\r\n        // Collect observers that have active observations.\r\n        var activeObservers = this.observers_.filter(function (observer) {\r\n            return observer.gatherActive(), observer.hasActive();\r\n        });\r\n        // Deliver notifications in a separate cycle in order to avoid any\r\n        // collisions between observers, e.g. when multiple instances of\r\n        // ResizeObserver are tracking the same element and the callback of one\r\n        // of them changes content dimensions of the observed target. Sometimes\r\n        // this may result in notifications being blocked for the rest of observers.\r\n        activeObservers.forEach(function (observer) { return observer.broadcastActive(); });\r\n        return activeObservers.length > 0;\r\n    };\r\n    /**\r\n     * Initializes DOM listeners.\r\n     *\r\n     * @private\r\n     * @returns {void}\r\n     */\r\n    ResizeObserverController.prototype.connect_ = function () {\r\n        // Do nothing if running in a non-browser environment or if listeners\r\n        // have been already added.\r\n        if (!isBrowser || this.connected_) {\r\n            return;\r\n        }\r\n        // Subscription to the \"Transitionend\" event is used as a workaround for\r\n        // delayed transitions. This way it's possible to capture at least the\r\n        // final state of an element.\r\n        document.addEventListener('transitionend', this.onTransitionEnd_);\r\n        window.addEventListener('resize', this.refresh);\r\n        if (mutationObserverSupported) {\r\n            this.mutationsObserver_ = new MutationObserver(this.refresh);\r\n            this.mutationsObserver_.observe(document, {\r\n                attributes: true,\r\n                childList: true,\r\n                characterData: true,\r\n                subtree: true\r\n            });\r\n        }\r\n        else {\r\n            document.addEventListener('DOMSubtreeModified', this.refresh);\r\n            this.mutationEventsAdded_ = true;\r\n        }\r\n        this.connected_ = true;\r\n    };\r\n    /**\r\n     * Removes DOM listeners.\r\n     *\r\n     * @private\r\n     * @returns {void}\r\n     */\r\n    ResizeObserverController.prototype.disconnect_ = function () {\r\n        // Do nothing if running in a non-browser environment or if listeners\r\n        // have been already removed.\r\n        if (!isBrowser || !this.connected_) {\r\n            return;\r\n        }\r\n        document.removeEventListener('transitionend', this.onTransitionEnd_);\r\n        window.removeEventListener('resize', this.refresh);\r\n        if (this.mutationsObserver_) {\r\n            this.mutationsObserver_.disconnect();\r\n        }\r\n        if (this.mutationEventsAdded_) {\r\n            document.removeEventListener('DOMSubtreeModified', this.refresh);\r\n        }\r\n        this.mutationsObserver_ = null;\r\n        this.mutationEventsAdded_ = false;\r\n        this.connected_ = false;\r\n    };\r\n    /**\r\n     * \"Transitionend\" event handler.\r\n     *\r\n     * @private\r\n     * @param {TransitionEvent} event\r\n     * @returns {void}\r\n     */\r\n    ResizeObserverController.prototype.onTransitionEnd_ = function (_a) {\r\n        var _b = _a.propertyName, propertyName = _b === void 0 ? '' : _b;\r\n        // Detect whether transition may affect dimensions of an element.\r\n        var isReflowProperty = transitionKeys.some(function (key) {\r\n            return !!~propertyName.indexOf(key);\r\n        });\r\n        if (isReflowProperty) {\r\n            this.refresh();\r\n        }\r\n    };\r\n    /**\r\n     * Returns instance of the ResizeObserverController.\r\n     *\r\n     * @returns {ResizeObserverController}\r\n     */\r\n    ResizeObserverController.getInstance = function () {\r\n        if (!this.instance_) {\r\n            this.instance_ = new ResizeObserverController();\r\n        }\r\n        return this.instance_;\r\n    };\r\n    /**\r\n     * Holds reference to the controller's instance.\r\n     *\r\n     * @private {ResizeObserverController}\r\n     */\r\n    ResizeObserverController.instance_ = null;\r\n    return ResizeObserverController;\r\n}());\n\n/**\r\n * Defines non-writable/enumerable properties of the provided target object.\r\n *\r\n * @param {Object} target - Object for which to define properties.\r\n * @param {Object} props - Properties to be defined.\r\n * @returns {Object} Target object.\r\n */\r\nvar defineConfigurable = (function (target, props) {\r\n    for (var _i = 0, _a = Object.keys(props); _i < _a.length; _i++) {\r\n        var key = _a[_i];\r\n        Object.defineProperty(target, key, {\r\n            value: props[key],\r\n            enumerable: false,\r\n            writable: false,\r\n            configurable: true\r\n        });\r\n    }\r\n    return target;\r\n});\n\n/**\r\n * Returns the global object associated with provided element.\r\n *\r\n * @param {Object} target\r\n * @returns {Object}\r\n */\r\nvar getWindowOf = (function (target) {\r\n    // Assume that the element is an instance of Node, which means that it\r\n    // has the \"ownerDocument\" property from which we can retrieve a\r\n    // corresponding global object.\r\n    var ownerGlobal = target && target.ownerDocument && target.ownerDocument.defaultView;\r\n    // Return the local global object if it's not possible extract one from\r\n    // provided element.\r\n    return ownerGlobal || global$1;\r\n});\n\n// Placeholder of an empty content rectangle.\r\nvar emptyRect = createRectInit(0, 0, 0, 0);\r\n/**\r\n * Converts provided string to a number.\r\n *\r\n * @param {number|string} value\r\n * @returns {number}\r\n */\r\nfunction toFloat(value) {\r\n    return parseFloat(value) || 0;\r\n}\r\n/**\r\n * Extracts borders size from provided styles.\r\n *\r\n * @param {CSSStyleDeclaration} styles\r\n * @param {...string} positions - Borders positions (top, right, ...)\r\n * @returns {number}\r\n */\r\nfunction getBordersSize(styles) {\r\n    var positions = [];\r\n    for (var _i = 1; _i < arguments.length; _i++) {\r\n        positions[_i - 1] = arguments[_i];\r\n    }\r\n    return positions.reduce(function (size, position) {\r\n        var value = styles['border-' + position + '-width'];\r\n        return size + toFloat(value);\r\n    }, 0);\r\n}\r\n/**\r\n * Extracts paddings sizes from provided styles.\r\n *\r\n * @param {CSSStyleDeclaration} styles\r\n * @returns {Object} Paddings box.\r\n */\r\nfunction getPaddings(styles) {\r\n    var positions = ['top', 'right', 'bottom', 'left'];\r\n    var paddings = {};\r\n    for (var _i = 0, positions_1 = positions; _i < positions_1.length; _i++) {\r\n        var position = positions_1[_i];\r\n        var value = styles['padding-' + position];\r\n        paddings[position] = toFloat(value);\r\n    }\r\n    return paddings;\r\n}\r\n/**\r\n * Calculates content rectangle of provided SVG element.\r\n *\r\n * @param {SVGGraphicsElement} target - Element content rectangle of which needs\r\n *      to be calculated.\r\n * @returns {DOMRectInit}\r\n */\r\nfunction getSVGContentRect(target) {\r\n    var bbox = target.getBBox();\r\n    return createRectInit(0, 0, bbox.width, bbox.height);\r\n}\r\n/**\r\n * Calculates content rectangle of provided HTMLElement.\r\n *\r\n * @param {HTMLElement} target - Element for which to calculate the content rectangle.\r\n * @returns {DOMRectInit}\r\n */\r\nfunction getHTMLElementContentRect(target) {\r\n    // Client width & height properties can't be\r\n    // used exclusively as they provide rounded values.\r\n    var clientWidth = target.clientWidth, clientHeight = target.clientHeight;\r\n    // By this condition we can catch all non-replaced inline, hidden and\r\n    // detached elements. Though elements with width & height properties less\r\n    // than 0.5 will be discarded as well.\r\n    //\r\n    // Without it we would need to implement separate methods for each of\r\n    // those cases and it's not possible to perform a precise and performance\r\n    // effective test for hidden elements. E.g. even jQuery's ':visible' filter\r\n    // gives wrong results for elements with width & height less than 0.5.\r\n    if (!clientWidth && !clientHeight) {\r\n        return emptyRect;\r\n    }\r\n    var styles = getWindowOf(target).getComputedStyle(target);\r\n    var paddings = getPaddings(styles);\r\n    var horizPad = paddings.left + paddings.right;\r\n    var vertPad = paddings.top + paddings.bottom;\r\n    // Computed styles of width & height are being used because they are the\r\n    // only dimensions available to JS that contain non-rounded values. It could\r\n    // be possible to utilize the getBoundingClientRect if only it's data wasn't\r\n    // affected by CSS transformations let alone paddings, borders and scroll bars.\r\n    var width = toFloat(styles.width), height = toFloat(styles.height);\r\n    // Width & height include paddings and borders when the 'border-box' box\r\n    // model is applied (except for IE).\r\n    if (styles.boxSizing === 'border-box') {\r\n        // Following conditions are required to handle Internet Explorer which\r\n        // doesn't include paddings and borders to computed CSS dimensions.\r\n        //\r\n        // We can say that if CSS dimensions + paddings are equal to the \"client\"\r\n        // properties then it's either IE, and thus we don't need to subtract\r\n        // anything, or an element merely doesn't have paddings/borders styles.\r\n        if (Math.round(width + horizPad) !== clientWidth) {\r\n            width -= getBordersSize(styles, 'left', 'right') + horizPad;\r\n        }\r\n        if (Math.round(height + vertPad) !== clientHeight) {\r\n            height -= getBordersSize(styles, 'top', 'bottom') + vertPad;\r\n        }\r\n    }\r\n    // Following steps can't be applied to the document's root element as its\r\n    // client[Width/Height] properties represent viewport area of the window.\r\n    // Besides, it's as well not necessary as the <html> itself neither has\r\n    // rendered scroll bars nor it can be clipped.\r\n    if (!isDocumentElement(target)) {\r\n        // In some browsers (only in Firefox, actually) CSS width & height\r\n        // include scroll bars size which can be removed at this step as scroll\r\n        // bars are the only difference between rounded dimensions + paddings\r\n        // and \"client\" properties, though that is not always true in Chrome.\r\n        var vertScrollbar = Math.round(width + horizPad) - clientWidth;\r\n        var horizScrollbar = Math.round(height + vertPad) - clientHeight;\r\n        // Chrome has a rather weird rounding of \"client\" properties.\r\n        // E.g. for an element with content width of 314.2px it sometimes gives\r\n        // the client width of 315px and for the width of 314.7px it may give\r\n        // 314px. And it doesn't happen all the time. So just ignore this delta\r\n        // as a non-relevant.\r\n        if (Math.abs(vertScrollbar) !== 1) {\r\n            width -= vertScrollbar;\r\n        }\r\n        if (Math.abs(horizScrollbar) !== 1) {\r\n            height -= horizScrollbar;\r\n        }\r\n    }\r\n    return createRectInit(paddings.left, paddings.top, width, height);\r\n}\r\n/**\r\n * Checks whether provided element is an instance of the SVGGraphicsElement.\r\n *\r\n * @param {Element} target - Element to be checked.\r\n * @returns {boolean}\r\n */\r\nvar isSVGGraphicsElement = (function () {\r\n    // Some browsers, namely IE and Edge, don't have the SVGGraphicsElement\r\n    // interface.\r\n    if (typeof SVGGraphicsElement !== 'undefined') {\r\n        return function (target) { return target instanceof getWindowOf(target).SVGGraphicsElement; };\r\n    }\r\n    // If it's so, then check that element is at least an instance of the\r\n    // SVGElement and that it has the \"getBBox\" method.\r\n    // eslint-disable-next-line no-extra-parens\r\n    return function (target) { return (target instanceof getWindowOf(target).SVGElement &&\r\n        typeof target.getBBox === 'function'); };\r\n})();\r\n/**\r\n * Checks whether provided element is a document element (<html>).\r\n *\r\n * @param {Element} target - Element to be checked.\r\n * @returns {boolean}\r\n */\r\nfunction isDocumentElement(target) {\r\n    return target === getWindowOf(target).document.documentElement;\r\n}\r\n/**\r\n * Calculates an appropriate content rectangle for provided html or svg element.\r\n *\r\n * @param {Element} target - Element content rectangle of which needs to be calculated.\r\n * @returns {DOMRectInit}\r\n */\r\nfunction getContentRect(target) {\r\n    if (!isBrowser) {\r\n        return emptyRect;\r\n    }\r\n    if (isSVGGraphicsElement(target)) {\r\n        return getSVGContentRect(target);\r\n    }\r\n    return getHTMLElementContentRect(target);\r\n}\r\n/**\r\n * Creates rectangle with an interface of the DOMRectReadOnly.\r\n * Spec: https://drafts.fxtf.org/geometry/#domrectreadonly\r\n *\r\n * @param {DOMRectInit} rectInit - Object with rectangle's x/y coordinates and dimensions.\r\n * @returns {DOMRectReadOnly}\r\n */\r\nfunction createReadOnlyRect(_a) {\r\n    var x = _a.x, y = _a.y, width = _a.width, height = _a.height;\r\n    // If DOMRectReadOnly is available use it as a prototype for the rectangle.\r\n    var Constr = typeof DOMRectReadOnly !== 'undefined' ? DOMRectReadOnly : Object;\r\n    var rect = Object.create(Constr.prototype);\r\n    // Rectangle's properties are not writable and non-enumerable.\r\n    defineConfigurable(rect, {\r\n        x: x, y: y, width: width, height: height,\r\n        top: y,\r\n        right: x + width,\r\n        bottom: height + y,\r\n        left: x\r\n    });\r\n    return rect;\r\n}\r\n/**\r\n * Creates DOMRectInit object based on the provided dimensions and the x/y coordinates.\r\n * Spec: https://drafts.fxtf.org/geometry/#dictdef-domrectinit\r\n *\r\n * @param {number} x - X coordinate.\r\n * @param {number} y - Y coordinate.\r\n * @param {number} width - Rectangle's width.\r\n * @param {number} height - Rectangle's height.\r\n * @returns {DOMRectInit}\r\n */\r\nfunction createRectInit(x, y, width, height) {\r\n    return { x: x, y: y, width: width, height: height };\r\n}\n\n/**\r\n * Class that is responsible for computations of the content rectangle of\r\n * provided DOM element and for keeping track of it's changes.\r\n */\r\nvar ResizeObservation = /** @class */ (function () {\r\n    /**\r\n     * Creates an instance of ResizeObservation.\r\n     *\r\n     * @param {Element} target - Element to be observed.\r\n     */\r\n    function ResizeObservation(target) {\r\n        /**\r\n         * Broadcasted width of content rectangle.\r\n         *\r\n         * @type {number}\r\n         */\r\n        this.broadcastWidth = 0;\r\n        /**\r\n         * Broadcasted height of content rectangle.\r\n         *\r\n         * @type {number}\r\n         */\r\n        this.broadcastHeight = 0;\r\n        /**\r\n         * Reference to the last observed content rectangle.\r\n         *\r\n         * @private {DOMRectInit}\r\n         */\r\n        this.contentRect_ = createRectInit(0, 0, 0, 0);\r\n        this.target = target;\r\n    }\r\n    /**\r\n     * Updates content rectangle and tells whether it's width or height properties\r\n     * have changed since the last broadcast.\r\n     *\r\n     * @returns {boolean}\r\n     */\r\n    ResizeObservation.prototype.isActive = function () {\r\n        var rect = getContentRect(this.target);\r\n        this.contentRect_ = rect;\r\n        return (rect.width !== this.broadcastWidth ||\r\n            rect.height !== this.broadcastHeight);\r\n    };\r\n    /**\r\n     * Updates 'broadcastWidth' and 'broadcastHeight' properties with a data\r\n     * from the corresponding properties of the last observed content rectangle.\r\n     *\r\n     * @returns {DOMRectInit} Last observed content rectangle.\r\n     */\r\n    ResizeObservation.prototype.broadcastRect = function () {\r\n        var rect = this.contentRect_;\r\n        this.broadcastWidth = rect.width;\r\n        this.broadcastHeight = rect.height;\r\n        return rect;\r\n    };\r\n    return ResizeObservation;\r\n}());\n\nvar ResizeObserverEntry = /** @class */ (function () {\r\n    /**\r\n     * Creates an instance of ResizeObserverEntry.\r\n     *\r\n     * @param {Element} target - Element that is being observed.\r\n     * @param {DOMRectInit} rectInit - Data of the element's content rectangle.\r\n     */\r\n    function ResizeObserverEntry(target, rectInit) {\r\n        var contentRect = createReadOnlyRect(rectInit);\r\n        // According to the specification following properties are not writable\r\n        // and are also not enumerable in the native implementation.\r\n        //\r\n        // Property accessors are not being used as they'd require to define a\r\n        // private WeakMap storage which may cause memory leaks in browsers that\r\n        // don't support this type of collections.\r\n        defineConfigurable(this, { target: target, contentRect: contentRect });\r\n    }\r\n    return ResizeObserverEntry;\r\n}());\n\nvar ResizeObserverSPI = /** @class */ (function () {\r\n    /**\r\n     * Creates a new instance of ResizeObserver.\r\n     *\r\n     * @param {ResizeObserverCallback} callback - Callback function that is invoked\r\n     *      when one of the observed elements changes it's content dimensions.\r\n     * @param {ResizeObserverController} controller - Controller instance which\r\n     *      is responsible for the updates of observer.\r\n     * @param {ResizeObserver} callbackCtx - Reference to the public\r\n     *      ResizeObserver instance which will be passed to callback function.\r\n     */\r\n    function ResizeObserverSPI(callback, controller, callbackCtx) {\r\n        /**\r\n         * Collection of resize observations that have detected changes in dimensions\r\n         * of elements.\r\n         *\r\n         * @private {Array<ResizeObservation>}\r\n         */\r\n        this.activeObservations_ = [];\r\n        /**\r\n         * Registry of the ResizeObservation instances.\r\n         *\r\n         * @private {Map<Element, ResizeObservation>}\r\n         */\r\n        this.observations_ = new MapShim();\r\n        if (typeof callback !== 'function') {\r\n            throw new TypeError('The callback provided as parameter 1 is not a function.');\r\n        }\r\n        this.callback_ = callback;\r\n        this.controller_ = controller;\r\n        this.callbackCtx_ = callbackCtx;\r\n    }\r\n    /**\r\n     * Starts observing provided element.\r\n     *\r\n     * @param {Element} target - Element to be observed.\r\n     * @returns {void}\r\n     */\r\n    ResizeObserverSPI.prototype.observe = function (target) {\r\n        if (!arguments.length) {\r\n            throw new TypeError('1 argument required, but only 0 present.');\r\n        }\r\n        // Do nothing if current environment doesn't have the Element interface.\r\n        if (typeof Element === 'undefined' || !(Element instanceof Object)) {\r\n            return;\r\n        }\r\n        if (!(target instanceof getWindowOf(target).Element)) {\r\n            throw new TypeError('parameter 1 is not of type \"Element\".');\r\n        }\r\n        var observations = this.observations_;\r\n        // Do nothing if element is already being observed.\r\n        if (observations.has(target)) {\r\n            return;\r\n        }\r\n        observations.set(target, new ResizeObservation(target));\r\n        this.controller_.addObserver(this);\r\n        // Force the update of observations.\r\n        this.controller_.refresh();\r\n    };\r\n    /**\r\n     * Stops observing provided element.\r\n     *\r\n     * @param {Element} target - Element to stop observing.\r\n     * @returns {void}\r\n     */\r\n    ResizeObserverSPI.prototype.unobserve = function (target) {\r\n        if (!arguments.length) {\r\n            throw new TypeError('1 argument required, but only 0 present.');\r\n        }\r\n        // Do nothing if current environment doesn't have the Element interface.\r\n        if (typeof Element === 'undefined' || !(Element instanceof Object)) {\r\n            return;\r\n        }\r\n        if (!(target instanceof getWindowOf(target).Element)) {\r\n            throw new TypeError('parameter 1 is not of type \"Element\".');\r\n        }\r\n        var observations = this.observations_;\r\n        // Do nothing if element is not being observed.\r\n        if (!observations.has(target)) {\r\n            return;\r\n        }\r\n        observations.delete(target);\r\n        if (!observations.size) {\r\n            this.controller_.removeObserver(this);\r\n        }\r\n    };\r\n    /**\r\n     * Stops observing all elements.\r\n     *\r\n     * @returns {void}\r\n     */\r\n    ResizeObserverSPI.prototype.disconnect = function () {\r\n        this.clearActive();\r\n        this.observations_.clear();\r\n        this.controller_.removeObserver(this);\r\n    };\r\n    /**\r\n     * Collects observation instances the associated element of which has changed\r\n     * it's content rectangle.\r\n     *\r\n     * @returns {void}\r\n     */\r\n    ResizeObserverSPI.prototype.gatherActive = function () {\r\n        var _this = this;\r\n        this.clearActive();\r\n        this.observations_.forEach(function (observation) {\r\n            if (observation.isActive()) {\r\n                _this.activeObservations_.push(observation);\r\n            }\r\n        });\r\n    };\r\n    /**\r\n     * Invokes initial callback function with a list of ResizeObserverEntry\r\n     * instances collected from active resize observations.\r\n     *\r\n     * @returns {void}\r\n     */\r\n    ResizeObserverSPI.prototype.broadcastActive = function () {\r\n        // Do nothing if observer doesn't have active observations.\r\n        if (!this.hasActive()) {\r\n            return;\r\n        }\r\n        var ctx = this.callbackCtx_;\r\n        // Create ResizeObserverEntry instance for every active observation.\r\n        var entries = this.activeObservations_.map(function (observation) {\r\n            return new ResizeObserverEntry(observation.target, observation.broadcastRect());\r\n        });\r\n        this.callback_.call(ctx, entries, ctx);\r\n        this.clearActive();\r\n    };\r\n    /**\r\n     * Clears the collection of active observations.\r\n     *\r\n     * @returns {void}\r\n     */\r\n    ResizeObserverSPI.prototype.clearActive = function () {\r\n        this.activeObservations_.splice(0);\r\n    };\r\n    /**\r\n     * Tells whether observer has active observations.\r\n     *\r\n     * @returns {boolean}\r\n     */\r\n    ResizeObserverSPI.prototype.hasActive = function () {\r\n        return this.activeObservations_.length > 0;\r\n    };\r\n    return ResizeObserverSPI;\r\n}());\n\n// Registry of internal observers. If WeakMap is not available use current shim\r\n// for the Map collection as it has all required methods and because WeakMap\r\n// can't be fully polyfilled anyway.\r\nvar observers = typeof WeakMap !== 'undefined' ? new WeakMap() : new MapShim();\r\n/**\r\n * ResizeObserver API. Encapsulates the ResizeObserver SPI implementation\r\n * exposing only those methods and properties that are defined in the spec.\r\n */\r\nvar ResizeObserver = /** @class */ (function () {\r\n    /**\r\n     * Creates a new instance of ResizeObserver.\r\n     *\r\n     * @param {ResizeObserverCallback} callback - Callback that is invoked when\r\n     *      dimensions of the observed elements change.\r\n     */\r\n    function ResizeObserver(callback) {\r\n        if (!(this instanceof ResizeObserver)) {\r\n            throw new TypeError('Cannot call a class as a function.');\r\n        }\r\n        if (!arguments.length) {\r\n            throw new TypeError('1 argument required, but only 0 present.');\r\n        }\r\n        var controller = ResizeObserverController.getInstance();\r\n        var observer = new ResizeObserverSPI(callback, controller, this);\r\n        observers.set(this, observer);\r\n    }\r\n    return ResizeObserver;\r\n}());\r\n// Expose public methods of ResizeObserver.\r\n[\r\n    'observe',\r\n    'unobserve',\r\n    'disconnect'\r\n].forEach(function (method) {\r\n    ResizeObserver.prototype[method] = function () {\r\n        var _a;\r\n        return (_a = observers.get(this))[method].apply(_a, arguments);\r\n    };\r\n});\n\nvar index = (function () {\r\n    // Export existing implementation if available.\r\n    if (typeof global$1.ResizeObserver !== 'undefined') {\r\n        return global$1.ResizeObserver;\r\n    }\r\n    return ResizeObserver;\r\n})();\n\n/* harmony default export */ __webpack_exports__[\"a\"] = (index);\n\n/* WEBPACK VAR INJECTION */}.call(this, __webpack_require__(\"c8ba\")))\n\n/***/ }),\n\n/***/ \"6ea2\":\n/***/ (function(module, __webpack_exports__, __webpack_require__) {\n\n\"use strict\";\n/* harmony import */ var _node_modules_mini_css_extract_plugin_dist_loader_js_ref_6_oneOf_1_0_node_modules_css_loader_dist_cjs_js_ref_6_oneOf_1_1_node_modules_vue_loader_lib_loaders_stylePostLoader_js_node_modules_postcss_loader_src_index_js_ref_6_oneOf_1_2_node_modules_vuetify_loader_lib_loader_js_ref_19_0_node_modules_cache_loader_dist_cjs_js_ref_0_0_node_modules_vue_loader_lib_index_js_vue_loader_options_SliderTrack_vue_vue_type_style_index_0_id_e4caeaf8_scoped_true_lang_css___WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(\"890c\");\n/* harmony import */ var _node_modules_mini_css_extract_plugin_dist_loader_js_ref_6_oneOf_1_0_node_modules_css_loader_dist_cjs_js_ref_6_oneOf_1_1_node_modules_vue_loader_lib_loaders_stylePostLoader_js_node_modules_postcss_loader_src_index_js_ref_6_oneOf_1_2_node_modules_vuetify_loader_lib_loader_js_ref_19_0_node_modules_cache_loader_dist_cjs_js_ref_0_0_node_modules_vue_loader_lib_index_js_vue_loader_options_SliderTrack_vue_vue_type_style_index_0_id_e4caeaf8_scoped_true_lang_css___WEBPACK_IMPORTED_MODULE_0___default = /*#__PURE__*/__webpack_require__.n(_node_modules_mini_css_extract_plugin_dist_loader_js_ref_6_oneOf_1_0_node_modules_css_loader_dist_cjs_js_ref_6_oneOf_1_1_node_modules_vue_loader_lib_loaders_stylePostLoader_js_node_modules_postcss_loader_src_index_js_ref_6_oneOf_1_2_node_modules_vuetify_loader_lib_loader_js_ref_19_0_node_modules_cache_loader_dist_cjs_js_ref_0_0_node_modules_vue_loader_lib_index_js_vue_loader_options_SliderTrack_vue_vue_type_style_index_0_id_e4caeaf8_scoped_true_lang_css___WEBPACK_IMPORTED_MODULE_0__);\n/* unused harmony reexport * */\n /* unused harmony default export */ var _unused_webpack_default_export = (_node_modules_mini_css_extract_plugin_dist_loader_js_ref_6_oneOf_1_0_node_modules_css_loader_dist_cjs_js_ref_6_oneOf_1_1_node_modules_vue_loader_lib_loaders_stylePostLoader_js_node_modules_postcss_loader_src_index_js_ref_6_oneOf_1_2_node_modules_vuetify_loader_lib_loader_js_ref_19_0_node_modules_cache_loader_dist_cjs_js_ref_0_0_node_modules_vue_loader_lib_index_js_vue_loader_options_SliderTrack_vue_vue_type_style_index_0_id_e4caeaf8_scoped_true_lang_css___WEBPACK_IMPORTED_MODULE_0___default.a); \n\n/***/ }),\n\n/***/ \"6eeb\":\n/***/ (function(module, exports, __webpack_require__) {\n\nvar global = __webpack_require__(\"da84\");\nvar createNonEnumerableProperty = __webpack_require__(\"9112\");\nvar has = __webpack_require__(\"5135\");\nvar setGlobal = __webpack_require__(\"ce4e\");\nvar inspectSource = __webpack_require__(\"8925\");\nvar InternalStateModule = __webpack_require__(\"69f3\");\n\nvar getInternalState = InternalStateModule.get;\nvar enforceInternalState = InternalStateModule.enforce;\nvar TEMPLATE = String(String).split('String');\n\n(module.exports = function (O, key, value, options) {\n  var unsafe = options ? !!options.unsafe : false;\n  var simple = options ? !!options.enumerable : false;\n  var noTargetGet = options ? !!options.noTargetGet : false;\n  if (typeof value == 'function') {\n    if (typeof key == 'string' && !has(value, 'name')) createNonEnumerableProperty(value, 'name', key);\n    enforceInternalState(value).source = TEMPLATE.join(typeof key == 'string' ? key : '');\n  }\n  if (O === global) {\n    if (simple) O[key] = value;\n    else setGlobal(key, value);\n    return;\n  } else if (!unsafe) {\n    delete O[key];\n  } else if (!noTargetGet && O[key]) {\n    simple = true;\n  }\n  if (simple) O[key] = value;\n  else createNonEnumerableProperty(O, key, value);\n// add fake Function#toString for correct work wrapped methods / constructors with methods like LoDash isNative\n})(Function.prototype, 'toString', function toString() {\n  return typeof this == 'function' && getInternalState(this).source || inspectSource(this);\n});\n\n\n/***/ }),\n\n/***/ \"6f53\":\n/***/ (function(module, exports, __webpack_require__) {\n\nvar DESCRIPTORS = __webpack_require__(\"83ab\");\nvar objectKeys = __webpack_require__(\"df75\");\nvar toIndexedObject = __webpack_require__(\"fc6a\");\nvar propertyIsEnumerable = __webpack_require__(\"d1e7\").f;\n\n// `Object.{ entries, values }` methods implementation\nvar createMethod = function (TO_ENTRIES) {\n  return function (it) {\n    var O = toIndexedObject(it);\n    var keys = objectKeys(O);\n    var length = keys.length;\n    var i = 0;\n    var result = [];\n    var key;\n    while (length > i) {\n      key = keys[i++];\n      if (!DESCRIPTORS || propertyIsEnumerable.call(O, key)) {\n        result.push(TO_ENTRIES ? [key, O[key]] : O[key]);\n      }\n    }\n    return result;\n  };\n};\n\nmodule.exports = {\n  // `Object.entries` method\n  // https://tc39.github.io/ecma262/#sec-object.entries\n  entries: createMethod(true),\n  // `Object.values` method\n  // https://tc39.github.io/ecma262/#sec-object.values\n  values: createMethod(false)\n};\n\n\n/***/ }),\n\n/***/ \"7156\":\n/***/ (function(module, exports, __webpack_require__) {\n\nvar isObject = __webpack_require__(\"861d\");\nvar setPrototypeOf = __webpack_require__(\"d2bb\");\n\n// makes subclassing work correct for wrapped built-ins\nmodule.exports = function ($this, dummy, Wrapper) {\n  var NewTarget, NewTargetPrototype;\n  if (\n    // it can work only with native `setPrototypeOf`\n    setPrototypeOf &&\n    // we haven't completely correct pre-ES6 way for getting `new.target`, so use this\n    typeof (NewTarget = dummy.constructor) == 'function' &&\n    NewTarget !== Wrapper &&\n    isObject(NewTargetPrototype = NewTarget.prototype) &&\n    NewTargetPrototype !== Wrapper.prototype\n  ) setPrototypeOf($this, NewTargetPrototype);\n  return $this;\n};\n\n\n/***/ }),\n\n/***/ \"7418\":\n/***/ (function(module, exports) {\n\nexports.f = Object.getOwnPropertySymbols;\n\n\n/***/ }),\n\n/***/ \"746f\":\n/***/ (function(module, exports, __webpack_require__) {\n\nvar path = __webpack_require__(\"428f\");\nvar has = __webpack_require__(\"5135\");\nvar wrappedWellKnownSymbolModule = __webpack_require__(\"e538\");\nvar defineProperty = __webpack_require__(\"9bf2\").f;\n\nmodule.exports = function (NAME) {\n  var Symbol = path.Symbol || (path.Symbol = {});\n  if (!has(Symbol, NAME)) defineProperty(Symbol, NAME, {\n    value: wrappedWellKnownSymbolModule.f(NAME)\n  });\n};\n\n\n/***/ }),\n\n/***/ \"7839\":\n/***/ (function(module, exports) {\n\n// IE8- don't enum bug keys\nmodule.exports = [\n  'constructor',\n  'hasOwnProperty',\n  'isPrototypeOf',\n  'propertyIsEnumerable',\n  'toLocaleString',\n  'toString',\n  'valueOf'\n];\n\n\n/***/ }),\n\n/***/ \"7b0b\":\n/***/ (function(module, exports, __webpack_require__) {\n\nvar requireObjectCoercible = __webpack_require__(\"1d80\");\n\n// `ToObject` abstract operation\n// https://tc39.github.io/ecma262/#sec-toobject\nmodule.exports = function (argument) {\n  return Object(requireObjectCoercible(argument));\n};\n\n\n/***/ }),\n\n/***/ \"7c73\":\n/***/ (function(module, exports, __webpack_require__) {\n\nvar anObject = __webpack_require__(\"825a\");\nvar defineProperties = __webpack_require__(\"37e8\");\nvar enumBugKeys = __webpack_require__(\"7839\");\nvar hiddenKeys = __webpack_require__(\"d012\");\nvar html = __webpack_require__(\"1be4\");\nvar documentCreateElement = __webpack_require__(\"cc12\");\nvar sharedKey = __webpack_require__(\"f772\");\n\nvar GT = '>';\nvar LT = '<';\nvar PROTOTYPE = 'prototype';\nvar SCRIPT = 'script';\nvar IE_PROTO = sharedKey('IE_PROTO');\n\nvar EmptyConstructor = function () { /* empty */ };\n\nvar scriptTag = function (content) {\n  return LT + SCRIPT + GT + content + LT + '/' + SCRIPT + GT;\n};\n\n// Create object with fake `null` prototype: use ActiveX Object with cleared prototype\nvar NullProtoObjectViaActiveX = function (activeXDocument) {\n  activeXDocument.write(scriptTag(''));\n  activeXDocument.close();\n  var temp = activeXDocument.parentWindow.Object;\n  activeXDocument = null; // avoid memory leak\n  return temp;\n};\n\n// Create object with fake `null` prototype: use iframe Object with cleared prototype\nvar NullProtoObjectViaIFrame = function () {\n  // Thrash, waste and sodomy: IE GC bug\n  var iframe = documentCreateElement('iframe');\n  var JS = 'java' + SCRIPT + ':';\n  var iframeDocument;\n  iframe.style.display = 'none';\n  html.appendChild(iframe);\n  // https://github.com/zloirock/core-js/issues/475\n  iframe.src = String(JS);\n  iframeDocument = iframe.contentWindow.document;\n  iframeDocument.open();\n  iframeDocument.write(scriptTag('document.F=Object'));\n  iframeDocument.close();\n  return iframeDocument.F;\n};\n\n// Check for document.domain and active x support\n// No need to use active x approach when document.domain is not set\n// see https://github.com/es-shims/es5-shim/issues/150\n// variation of https://github.com/kitcambridge/es5-shim/commit/4f738ac066346\n// avoid IE GC bug\nvar activeXDocument;\nvar NullProtoObject = function () {\n  try {\n    /* global ActiveXObject */\n    activeXDocument = document.domain && new ActiveXObject('htmlfile');\n  } catch (error) { /* ignore */ }\n  NullProtoObject = activeXDocument ? NullProtoObjectViaActiveX(activeXDocument) : NullProtoObjectViaIFrame();\n  var length = enumBugKeys.length;\n  while (length--) delete NullProtoObject[PROTOTYPE][enumBugKeys[length]];\n  return NullProtoObject();\n};\n\nhiddenKeys[IE_PROTO] = true;\n\n// `Object.create` method\n// https://tc39.github.io/ecma262/#sec-object.create\nmodule.exports = Object.create || function create(O, Properties) {\n  var result;\n  if (O !== null) {\n    EmptyConstructor[PROTOTYPE] = anObject(O);\n    result = new EmptyConstructor();\n    EmptyConstructor[PROTOTYPE] = null;\n    // add \"__proto__\" for Object.getPrototypeOf polyfill\n    result[IE_PROTO] = O;\n  } else result = NullProtoObject();\n  return Properties === undefined ? result : defineProperties(result, Properties);\n};\n\n\n/***/ }),\n\n/***/ \"7dd0\":\n/***/ (function(module, exports, __webpack_require__) {\n\n\"use strict\";\n\nvar $ = __webpack_require__(\"23e7\");\nvar createIteratorConstructor = __webpack_require__(\"9ed3\");\nvar getPrototypeOf = __webpack_require__(\"e163\");\nvar setPrototypeOf = __webpack_require__(\"d2bb\");\nvar setToStringTag = __webpack_require__(\"d44e\");\nvar createNonEnumerableProperty = __webpack_require__(\"9112\");\nvar redefine = __webpack_require__(\"6eeb\");\nvar wellKnownSymbol = __webpack_require__(\"b622\");\nvar IS_PURE = __webpack_require__(\"c430\");\nvar Iterators = __webpack_require__(\"3f8c\");\nvar IteratorsCore = __webpack_require__(\"ae93\");\n\nvar IteratorPrototype = IteratorsCore.IteratorPrototype;\nvar BUGGY_SAFARI_ITERATORS = IteratorsCore.BUGGY_SAFARI_ITERATORS;\nvar ITERATOR = wellKnownSymbol('iterator');\nvar KEYS = 'keys';\nvar VALUES = 'values';\nvar ENTRIES = 'entries';\n\nvar returnThis = function () { return this; };\n\nmodule.exports = function (Iterable, NAME, IteratorConstructor, next, DEFAULT, IS_SET, FORCED) {\n  createIteratorConstructor(IteratorConstructor, NAME, next);\n\n  var getIterationMethod = function (KIND) {\n    if (KIND === DEFAULT && defaultIterator) return defaultIterator;\n    if (!BUGGY_SAFARI_ITERATORS && KIND in IterablePrototype) return IterablePrototype[KIND];\n    switch (KIND) {\n      case KEYS: return function keys() { return new IteratorConstructor(this, KIND); };\n      case VALUES: return function values() { return new IteratorConstructor(this, KIND); };\n      case ENTRIES: return function entries() { return new IteratorConstructor(this, KIND); };\n    } return function () { return new IteratorConstructor(this); };\n  };\n\n  var TO_STRING_TAG = NAME + ' Iterator';\n  var INCORRECT_VALUES_NAME = false;\n  var IterablePrototype = Iterable.prototype;\n  var nativeIterator = IterablePrototype[ITERATOR]\n    || IterablePrototype['@@iterator']\n    || DEFAULT && IterablePrototype[DEFAULT];\n  var defaultIterator = !BUGGY_SAFARI_ITERATORS && nativeIterator || getIterationMethod(DEFAULT);\n  var anyNativeIterator = NAME == 'Array' ? IterablePrototype.entries || nativeIterator : nativeIterator;\n  var CurrentIteratorPrototype, methods, KEY;\n\n  // fix native\n  if (anyNativeIterator) {\n    CurrentIteratorPrototype = getPrototypeOf(anyNativeIterator.call(new Iterable()));\n    if (IteratorPrototype !== Object.prototype && CurrentIteratorPrototype.next) {\n      if (!IS_PURE && getPrototypeOf(CurrentIteratorPrototype) !== IteratorPrototype) {\n        if (setPrototypeOf) {\n          setPrototypeOf(CurrentIteratorPrototype, IteratorPrototype);\n        } else if (typeof CurrentIteratorPrototype[ITERATOR] != 'function') {\n          createNonEnumerableProperty(CurrentIteratorPrototype, ITERATOR, returnThis);\n        }\n      }\n      // Set @@toStringTag to native iterators\n      setToStringTag(CurrentIteratorPrototype, TO_STRING_TAG, true, true);\n      if (IS_PURE) Iterators[TO_STRING_TAG] = returnThis;\n    }\n  }\n\n  // fix Array#{values, @@iterator}.name in V8 / FF\n  if (DEFAULT == VALUES && nativeIterator && nativeIterator.name !== VALUES) {\n    INCORRECT_VALUES_NAME = true;\n    defaultIterator = function values() { return nativeIterator.call(this); };\n  }\n\n  // define iterator\n  if ((!IS_PURE || FORCED) && IterablePrototype[ITERATOR] !== defaultIterator) {\n    createNonEnumerableProperty(IterablePrototype, ITERATOR, defaultIterator);\n  }\n  Iterators[NAME] = defaultIterator;\n\n  // export additional methods\n  if (DEFAULT) {\n    methods = {\n      values: getIterationMethod(VALUES),\n      keys: IS_SET ? defaultIterator : getIterationMethod(KEYS),\n      entries: getIterationMethod(ENTRIES)\n    };\n    if (FORCED) for (KEY in methods) {\n      if (BUGGY_SAFARI_ITERATORS || INCORRECT_VALUES_NAME || !(KEY in IterablePrototype)) {\n        redefine(IterablePrototype, KEY, methods[KEY]);\n      }\n    } else $({ target: NAME, proto: true, forced: BUGGY_SAFARI_ITERATORS || INCORRECT_VALUES_NAME }, methods);\n  }\n\n  return methods;\n};\n\n\n/***/ }),\n\n/***/ \"7f9a\":\n/***/ (function(module, exports, __webpack_require__) {\n\nvar global = __webpack_require__(\"da84\");\nvar inspectSource = __webpack_require__(\"8925\");\n\nvar WeakMap = global.WeakMap;\n\nmodule.exports = typeof WeakMap === 'function' && /native code/.test(inspectSource(WeakMap));\n\n\n/***/ }),\n\n/***/ \"825a\":\n/***/ (function(module, exports, __webpack_require__) {\n\nvar isObject = __webpack_require__(\"861d\");\n\nmodule.exports = function (it) {\n  if (!isObject(it)) {\n    throw TypeError(String(it) + ' is not an object');\n  } return it;\n};\n\n\n/***/ }),\n\n/***/ \"83ab\":\n/***/ (function(module, exports, __webpack_require__) {\n\nvar fails = __webpack_require__(\"d039\");\n\n// Thank's IE8 for his funny defineProperty\nmodule.exports = !fails(function () {\n  return Object.defineProperty({}, 1, { get: function () { return 7; } })[1] != 7;\n});\n\n\n/***/ }),\n\n/***/ \"8418\":\n/***/ (function(module, exports, __webpack_require__) {\n\n\"use strict\";\n\nvar toPrimitive = __webpack_require__(\"c04e\");\nvar definePropertyModule = __webpack_require__(\"9bf2\");\nvar createPropertyDescriptor = __webpack_require__(\"5c6c\");\n\nmodule.exports = function (object, key, value) {\n  var propertyKey = toPrimitive(key);\n  if (propertyKey in object) definePropertyModule.f(object, propertyKey, createPropertyDescriptor(0, value));\n  else object[propertyKey] = value;\n};\n\n\n/***/ }),\n\n/***/ \"861d\":\n/***/ (function(module, exports) {\n\nmodule.exports = function (it) {\n  return typeof it === 'object' ? it !== null : typeof it === 'function';\n};\n\n\n/***/ }),\n\n/***/ \"88bc\":\n/***/ (function(module, exports, __webpack_require__) {\n\n/* WEBPACK VAR INJECTION */(function(global) {/**\n * lodash (Custom Build) <https://lodash.com/>\n * Build: `lodash modularize exports=\"npm\" -o ./`\n * Copyright jQuery Foundation and other contributors <https://jquery.org/>\n * Released under MIT license <https://lodash.com/license>\n * Based on Underscore.js 1.8.3 <http://underscorejs.org/LICENSE>\n * Copyright Jeremy Ashkenas, DocumentCloud and Investigative Reporters & Editors\n */\n\n/** Used as references for various `Number` constants. */\nvar INFINITY = 1 / 0,\n    MAX_SAFE_INTEGER = 9007199254740991;\n\n/** `Object#toString` result references. */\nvar argsTag = '[object Arguments]',\n    funcTag = '[object Function]',\n    genTag = '[object GeneratorFunction]',\n    symbolTag = '[object Symbol]';\n\n/** Detect free variable `global` from Node.js. */\nvar freeGlobal = typeof global == 'object' && global && global.Object === Object && global;\n\n/** Detect free variable `self`. */\nvar freeSelf = typeof self == 'object' && self && self.Object === Object && self;\n\n/** Used as a reference to the global object. */\nvar root = freeGlobal || freeSelf || Function('return this')();\n\n/**\n * A faster alternative to `Function#apply`, this function invokes `func`\n * with the `this` binding of `thisArg` and the arguments of `args`.\n *\n * @private\n * @param {Function} func The function to invoke.\n * @param {*} thisArg The `this` binding of `func`.\n * @param {Array} args The arguments to invoke `func` with.\n * @returns {*} Returns the result of `func`.\n */\nfunction apply(func, thisArg, args) {\n  switch (args.length) {\n    case 0: return func.call(thisArg);\n    case 1: return func.call(thisArg, args[0]);\n    case 2: return func.call(thisArg, args[0], args[1]);\n    case 3: return func.call(thisArg, args[0], args[1], args[2]);\n  }\n  return func.apply(thisArg, args);\n}\n\n/**\n * A specialized version of `_.map` for arrays without support for iteratee\n * shorthands.\n *\n * @private\n * @param {Array} [array] The array to iterate over.\n * @param {Function} iteratee The function invoked per iteration.\n * @returns {Array} Returns the new mapped array.\n */\nfunction arrayMap(array, iteratee) {\n  var index = -1,\n      length = array ? array.length : 0,\n      result = Array(length);\n\n  while (++index < length) {\n    result[index] = iteratee(array[index], index, array);\n  }\n  return result;\n}\n\n/**\n * Appends the elements of `values` to `array`.\n *\n * @private\n * @param {Array} array The array to modify.\n * @param {Array} values The values to append.\n * @returns {Array} Returns `array`.\n */\nfunction arrayPush(array, values) {\n  var index = -1,\n      length = values.length,\n      offset = array.length;\n\n  while (++index < length) {\n    array[offset + index] = values[index];\n  }\n  return array;\n}\n\n/** Used for built-in method references. */\nvar objectProto = Object.prototype;\n\n/** Used to check objects for own properties. */\nvar hasOwnProperty = objectProto.hasOwnProperty;\n\n/**\n * Used to resolve the\n * [`toStringTag`](http://ecma-international.org/ecma-262/7.0/#sec-object.prototype.tostring)\n * of values.\n */\nvar objectToString = objectProto.toString;\n\n/** Built-in value references. */\nvar Symbol = root.Symbol,\n    propertyIsEnumerable = objectProto.propertyIsEnumerable,\n    spreadableSymbol = Symbol ? Symbol.isConcatSpreadable : undefined;\n\n/* Built-in method references for those with the same name as other `lodash` methods. */\nvar nativeMax = Math.max;\n\n/**\n * The base implementation of `_.flatten` with support for restricting flattening.\n *\n * @private\n * @param {Array} array The array to flatten.\n * @param {number} depth The maximum recursion depth.\n * @param {boolean} [predicate=isFlattenable] The function invoked per iteration.\n * @param {boolean} [isStrict] Restrict to values that pass `predicate` checks.\n * @param {Array} [result=[]] The initial result value.\n * @returns {Array} Returns the new flattened array.\n */\nfunction baseFlatten(array, depth, predicate, isStrict, result) {\n  var index = -1,\n      length = array.length;\n\n  predicate || (predicate = isFlattenable);\n  result || (result = []);\n\n  while (++index < length) {\n    var value = array[index];\n    if (depth > 0 && predicate(value)) {\n      if (depth > 1) {\n        // Recursively flatten arrays (susceptible to call stack limits).\n        baseFlatten(value, depth - 1, predicate, isStrict, result);\n      } else {\n        arrayPush(result, value);\n      }\n    } else if (!isStrict) {\n      result[result.length] = value;\n    }\n  }\n  return result;\n}\n\n/**\n * The base implementation of `_.pick` without support for individual\n * property identifiers.\n *\n * @private\n * @param {Object} object The source object.\n * @param {string[]} props The property identifiers to pick.\n * @returns {Object} Returns the new object.\n */\nfunction basePick(object, props) {\n  object = Object(object);\n  return basePickBy(object, props, function(value, key) {\n    return key in object;\n  });\n}\n\n/**\n * The base implementation of  `_.pickBy` without support for iteratee shorthands.\n *\n * @private\n * @param {Object} object The source object.\n * @param {string[]} props The property identifiers to pick from.\n * @param {Function} predicate The function invoked per property.\n * @returns {Object} Returns the new object.\n */\nfunction basePickBy(object, props, predicate) {\n  var index = -1,\n      length = props.length,\n      result = {};\n\n  while (++index < length) {\n    var key = props[index],\n        value = object[key];\n\n    if (predicate(value, key)) {\n      result[key] = value;\n    }\n  }\n  return result;\n}\n\n/**\n * The base implementation of `_.rest` which doesn't validate or coerce arguments.\n *\n * @private\n * @param {Function} func The function to apply a rest parameter to.\n * @param {number} [start=func.length-1] The start position of the rest parameter.\n * @returns {Function} Returns the new function.\n */\nfunction baseRest(func, start) {\n  start = nativeMax(start === undefined ? (func.length - 1) : start, 0);\n  return function() {\n    var args = arguments,\n        index = -1,\n        length = nativeMax(args.length - start, 0),\n        array = Array(length);\n\n    while (++index < length) {\n      array[index] = args[start + index];\n    }\n    index = -1;\n    var otherArgs = Array(start + 1);\n    while (++index < start) {\n      otherArgs[index] = args[index];\n    }\n    otherArgs[start] = array;\n    return apply(func, this, otherArgs);\n  };\n}\n\n/**\n * Checks if `value` is a flattenable `arguments` object or array.\n *\n * @private\n * @param {*} value The value to check.\n * @returns {boolean} Returns `true` if `value` is flattenable, else `false`.\n */\nfunction isFlattenable(value) {\n  return isArray(value) || isArguments(value) ||\n    !!(spreadableSymbol && value && value[spreadableSymbol]);\n}\n\n/**\n * Converts `value` to a string key if it's not a string or symbol.\n *\n * @private\n * @param {*} value The value to inspect.\n * @returns {string|symbol} Returns the key.\n */\nfunction toKey(value) {\n  if (typeof value == 'string' || isSymbol(value)) {\n    return value;\n  }\n  var result = (value + '');\n  return (result == '0' && (1 / value) == -INFINITY) ? '-0' : result;\n}\n\n/**\n * Checks if `value` is likely an `arguments` object.\n *\n * @static\n * @memberOf _\n * @since 0.1.0\n * @category Lang\n * @param {*} value The value to check.\n * @returns {boolean} Returns `true` if `value` is an `arguments` object,\n *  else `false`.\n * @example\n *\n * _.isArguments(function() { return arguments; }());\n * // => true\n *\n * _.isArguments([1, 2, 3]);\n * // => false\n */\nfunction isArguments(value) {\n  // Safari 8.1 makes `arguments.callee` enumerable in strict mode.\n  return isArrayLikeObject(value) && hasOwnProperty.call(value, 'callee') &&\n    (!propertyIsEnumerable.call(value, 'callee') || objectToString.call(value) == argsTag);\n}\n\n/**\n * Checks if `value` is classified as an `Array` object.\n *\n * @static\n * @memberOf _\n * @since 0.1.0\n * @category Lang\n * @param {*} value The value to check.\n * @returns {boolean} Returns `true` if `value` is an array, else `false`.\n * @example\n *\n * _.isArray([1, 2, 3]);\n * // => true\n *\n * _.isArray(document.body.children);\n * // => false\n *\n * _.isArray('abc');\n * // => false\n *\n * _.isArray(_.noop);\n * // => false\n */\nvar isArray = Array.isArray;\n\n/**\n * Checks if `value` is array-like. A value is considered array-like if it's\n * not a function and has a `value.length` that's an integer greater than or\n * equal to `0` and less than or equal to `Number.MAX_SAFE_INTEGER`.\n *\n * @static\n * @memberOf _\n * @since 4.0.0\n * @category Lang\n * @param {*} value The value to check.\n * @returns {boolean} Returns `true` if `value` is array-like, else `false`.\n * @example\n *\n * _.isArrayLike([1, 2, 3]);\n * // => true\n *\n * _.isArrayLike(document.body.children);\n * // => true\n *\n * _.isArrayLike('abc');\n * // => true\n *\n * _.isArrayLike(_.noop);\n * // => false\n */\nfunction isArrayLike(value) {\n  return value != null && isLength(value.length) && !isFunction(value);\n}\n\n/**\n * This method is like `_.isArrayLike` except that it also checks if `value`\n * is an object.\n *\n * @static\n * @memberOf _\n * @since 4.0.0\n * @category Lang\n * @param {*} value The value to check.\n * @returns {boolean} Returns `true` if `value` is an array-like object,\n *  else `false`.\n * @example\n *\n * _.isArrayLikeObject([1, 2, 3]);\n * // => true\n *\n * _.isArrayLikeObject(document.body.children);\n * // => true\n *\n * _.isArrayLikeObject('abc');\n * // => false\n *\n * _.isArrayLikeObject(_.noop);\n * // => false\n */\nfunction isArrayLikeObject(value) {\n  return isObjectLike(value) && isArrayLike(value);\n}\n\n/**\n * Checks if `value` is classified as a `Function` object.\n *\n * @static\n * @memberOf _\n * @since 0.1.0\n * @category Lang\n * @param {*} value The value to check.\n * @returns {boolean} Returns `true` if `value` is a function, else `false`.\n * @example\n *\n * _.isFunction(_);\n * // => true\n *\n * _.isFunction(/abc/);\n * // => false\n */\nfunction isFunction(value) {\n  // The use of `Object#toString` avoids issues with the `typeof` operator\n  // in Safari 8-9 which returns 'object' for typed array and other constructors.\n  var tag = isObject(value) ? objectToString.call(value) : '';\n  return tag == funcTag || tag == genTag;\n}\n\n/**\n * Checks if `value` is a valid array-like length.\n *\n * **Note:** This method is loosely based on\n * [`ToLength`](http://ecma-international.org/ecma-262/7.0/#sec-tolength).\n *\n * @static\n * @memberOf _\n * @since 4.0.0\n * @category Lang\n * @param {*} value The value to check.\n * @returns {boolean} Returns `true` if `value` is a valid length, else `false`.\n * @example\n *\n * _.isLength(3);\n * // => true\n *\n * _.isLength(Number.MIN_VALUE);\n * // => false\n *\n * _.isLength(Infinity);\n * // => false\n *\n * _.isLength('3');\n * // => false\n */\nfunction isLength(value) {\n  return typeof value == 'number' &&\n    value > -1 && value % 1 == 0 && value <= MAX_SAFE_INTEGER;\n}\n\n/**\n * Checks if `value` is the\n * [language type](http://www.ecma-international.org/ecma-262/7.0/#sec-ecmascript-language-types)\n * of `Object`. (e.g. arrays, functions, objects, regexes, `new Number(0)`, and `new String('')`)\n *\n * @static\n * @memberOf _\n * @since 0.1.0\n * @category Lang\n * @param {*} value The value to check.\n * @returns {boolean} Returns `true` if `value` is an object, else `false`.\n * @example\n *\n * _.isObject({});\n * // => true\n *\n * _.isObject([1, 2, 3]);\n * // => true\n *\n * _.isObject(_.noop);\n * // => true\n *\n * _.isObject(null);\n * // => false\n */\nfunction isObject(value) {\n  var type = typeof value;\n  return !!value && (type == 'object' || type == 'function');\n}\n\n/**\n * Checks if `value` is object-like. A value is object-like if it's not `null`\n * and has a `typeof` result of \"object\".\n *\n * @static\n * @memberOf _\n * @since 4.0.0\n * @category Lang\n * @param {*} value The value to check.\n * @returns {boolean} Returns `true` if `value` is object-like, else `false`.\n * @example\n *\n * _.isObjectLike({});\n * // => true\n *\n * _.isObjectLike([1, 2, 3]);\n * // => true\n *\n * _.isObjectLike(_.noop);\n * // => false\n *\n * _.isObjectLike(null);\n * // => false\n */\nfunction isObjectLike(value) {\n  return !!value && typeof value == 'object';\n}\n\n/**\n * Checks if `value` is classified as a `Symbol` primitive or object.\n *\n * @static\n * @memberOf _\n * @since 4.0.0\n * @category Lang\n * @param {*} value The value to check.\n * @returns {boolean} Returns `true` if `value` is a symbol, else `false`.\n * @example\n *\n * _.isSymbol(Symbol.iterator);\n * // => true\n *\n * _.isSymbol('abc');\n * // => false\n */\nfunction isSymbol(value) {\n  return typeof value == 'symbol' ||\n    (isObjectLike(value) && objectToString.call(value) == symbolTag);\n}\n\n/**\n * Creates an object composed of the picked `object` properties.\n *\n * @static\n * @since 0.1.0\n * @memberOf _\n * @category Object\n * @param {Object} object The source object.\n * @param {...(string|string[])} [props] The property identifiers to pick.\n * @returns {Object} Returns the new object.\n * @example\n *\n * var object = { 'a': 1, 'b': '2', 'c': 3 };\n *\n * _.pick(object, ['a', 'c']);\n * // => { 'a': 1, 'c': 3 }\n */\nvar pick = baseRest(function(object, props) {\n  return object == null ? {} : basePick(object, arrayMap(baseFlatten(props, 1), toKey));\n});\n\nmodule.exports = pick;\n\n/* WEBPACK VAR INJECTION */}.call(this, __webpack_require__(\"c8ba\")))\n\n/***/ }),\n\n/***/ \"890c\":\n/***/ (function(module, exports, __webpack_require__) {\n\n// extracted by mini-css-extract-plugin\n\n/***/ }),\n\n/***/ \"8925\":\n/***/ (function(module, exports, __webpack_require__) {\n\nvar store = __webpack_require__(\"c6cd\");\n\nvar functionToString = Function.toString;\n\n// this helper broken in `3.4.1-3.4.4`, so we can't use `shared` helper\nif (typeof store.inspectSource != 'function') {\n  store.inspectSource = function (it) {\n    return functionToString.call(it);\n  };\n}\n\nmodule.exports = store.inspectSource;\n\n\n/***/ }),\n\n/***/ \"8aa5\":\n/***/ (function(module, exports, __webpack_require__) {\n\n\"use strict\";\n\nvar charAt = __webpack_require__(\"6547\").charAt;\n\n// `AdvanceStringIndex` abstract operation\n// https://tc39.github.io/ecma262/#sec-advancestringindex\nmodule.exports = function (S, index, unicode) {\n  return index + (unicode ? charAt(S, index).length : 1);\n};\n\n\n/***/ }),\n\n/***/ \"8e95\":\n/***/ (function(module, exports, __webpack_require__) {\n\nvar MediaQueryDispatch = __webpack_require__(\"c195\");\nmodule.exports = new MediaQueryDispatch();\n\n\n/***/ }),\n\n/***/ \"9020\":\n/***/ (function(module, exports) {\n\n/**\n * Delegate to handle a media query being matched and unmatched.\n *\n * @param {object} options\n * @param {function} options.match callback for when the media query is matched\n * @param {function} [options.unmatch] callback for when the media query is unmatched\n * @param {function} [options.setup] one-time callback triggered the first time a query is matched\n * @param {boolean} [options.deferSetup=false] should the setup callback be run immediately, rather than first time query is matched?\n * @constructor\n */\nfunction QueryHandler(options) {\n    this.options = options;\n    !options.deferSetup && this.setup();\n}\n\nQueryHandler.prototype = {\n\n    constructor : QueryHandler,\n\n    /**\n     * coordinates setup of the handler\n     *\n     * @function\n     */\n    setup : function() {\n        if(this.options.setup) {\n            this.options.setup();\n        }\n        this.initialised = true;\n    },\n\n    /**\n     * coordinates setup and triggering of the handler\n     *\n     * @function\n     */\n    on : function() {\n        !this.initialised && this.setup();\n        this.options.match && this.options.match();\n    },\n\n    /**\n     * coordinates the unmatch event for the handler\n     *\n     * @function\n     */\n    off : function() {\n        this.options.unmatch && this.options.unmatch();\n    },\n\n    /**\n     * called when a handler is to be destroyed.\n     * delegates to the destroy or unmatch callbacks, depending on availability.\n     *\n     * @function\n     */\n    destroy : function() {\n        this.options.destroy ? this.options.destroy() : this.off();\n    },\n\n    /**\n     * determines equality by reference.\n     * if object is supplied compare options, if function, compare match callback\n     *\n     * @function\n     * @param {object || function} [target] the target for comparison\n     */\n    equals : function(target) {\n        return this.options === target || this.options.match === target;\n    }\n\n};\n\nmodule.exports = QueryHandler;\n\n\n/***/ }),\n\n/***/ \"90e3\":\n/***/ (function(module, exports) {\n\nvar id = 0;\nvar postfix = Math.random();\n\nmodule.exports = function (key) {\n  return 'Symbol(' + String(key === undefined ? '' : key) + ')_' + (++id + postfix).toString(36);\n};\n\n\n/***/ }),\n\n/***/ \"9112\":\n/***/ (function(module, exports, __webpack_require__) {\n\nvar DESCRIPTORS = __webpack_require__(\"83ab\");\nvar definePropertyModule = __webpack_require__(\"9bf2\");\nvar createPropertyDescriptor = __webpack_require__(\"5c6c\");\n\nmodule.exports = DESCRIPTORS ? function (object, key, value) {\n  return definePropertyModule.f(object, key, createPropertyDescriptor(1, value));\n} : function (object, key, value) {\n  object[key] = value;\n  return object;\n};\n\n\n/***/ }),\n\n/***/ \"9263\":\n/***/ (function(module, exports, __webpack_require__) {\n\n\"use strict\";\n\nvar regexpFlags = __webpack_require__(\"ad6d\");\nvar stickyHelpers = __webpack_require__(\"9f7f\");\n\nvar nativeExec = RegExp.prototype.exec;\n// This always refers to the native implementation, because the\n// String#replace polyfill uses ./fix-regexp-well-known-symbol-logic.js,\n// which loads this file before patching the method.\nvar nativeReplace = String.prototype.replace;\n\nvar patchedExec = nativeExec;\n\nvar UPDATES_LAST_INDEX_WRONG = (function () {\n  var re1 = /a/;\n  var re2 = /b*/g;\n  nativeExec.call(re1, 'a');\n  nativeExec.call(re2, 'a');\n  return re1.lastIndex !== 0 || re2.lastIndex !== 0;\n})();\n\nvar UNSUPPORTED_Y = stickyHelpers.UNSUPPORTED_Y || stickyHelpers.BROKEN_CARET;\n\n// nonparticipating capturing group, copied from es5-shim's String#split patch.\nvar NPCG_INCLUDED = /()??/.exec('')[1] !== undefined;\n\nvar PATCH = UPDATES_LAST_INDEX_WRONG || NPCG_INCLUDED || UNSUPPORTED_Y;\n\nif (PATCH) {\n  patchedExec = function exec(str) {\n    var re = this;\n    var lastIndex, reCopy, match, i;\n    var sticky = UNSUPPORTED_Y && re.sticky;\n    var flags = regexpFlags.call(re);\n    var source = re.source;\n    var charsAdded = 0;\n    var strCopy = str;\n\n    if (sticky) {\n      flags = flags.replace('y', '');\n      if (flags.indexOf('g') === -1) {\n        flags += 'g';\n      }\n\n      strCopy = String(str).slice(re.lastIndex);\n      // Support anchored sticky behavior.\n      if (re.lastIndex > 0 && (!re.multiline || re.multiline && str[re.lastIndex - 1] !== '\\n')) {\n        source = '(?: ' + source + ')';\n        strCopy = ' ' + strCopy;\n        charsAdded++;\n      }\n      // ^(? + rx + ) is needed, in combination with some str slicing, to\n      // simulate the 'y' flag.\n      reCopy = new RegExp('^(?:' + source + ')', flags);\n    }\n\n    if (NPCG_INCLUDED) {\n      reCopy = new RegExp('^' + source + '$(?!\\\\s)', flags);\n    }\n    if (UPDATES_LAST_INDEX_WRONG) lastIndex = re.lastIndex;\n\n    match = nativeExec.call(sticky ? reCopy : re, strCopy);\n\n    if (sticky) {\n      if (match) {\n        match.input = match.input.slice(charsAdded);\n        match[0] = match[0].slice(charsAdded);\n        match.index = re.lastIndex;\n        re.lastIndex += match[0].length;\n      } else re.lastIndex = 0;\n    } else if (UPDATES_LAST_INDEX_WRONG && match) {\n      re.lastIndex = re.global ? match.index + match[0].length : lastIndex;\n    }\n    if (NPCG_INCLUDED && match && match.length > 1) {\n      // Fix browsers whose `exec` methods don't consistently return `undefined`\n      // for NPCG, like IE8. NOTE: This doesn' work for /(.?)?/\n      nativeReplace.call(match[0], reCopy, function () {\n        for (i = 1; i < arguments.length - 2; i++) {\n          if (arguments[i] === undefined) match[i] = undefined;\n        }\n      });\n    }\n\n    return match;\n  };\n}\n\nmodule.exports = patchedExec;\n\n\n/***/ }),\n\n/***/ \"94ca\":\n/***/ (function(module, exports, __webpack_require__) {\n\nvar fails = __webpack_require__(\"d039\");\n\nvar replacement = /#|\\.prototype\\./;\n\nvar isForced = function (feature, detection) {\n  var value = data[normalize(feature)];\n  return value == POLYFILL ? true\n    : value == NATIVE ? false\n    : typeof detection == 'function' ? fails(detection)\n    : !!detection;\n};\n\nvar normalize = isForced.normalize = function (string) {\n  return String(string).replace(replacement, '.').toLowerCase();\n};\n\nvar data = isForced.data = {};\nvar NATIVE = isForced.NATIVE = 'N';\nvar POLYFILL = isForced.POLYFILL = 'P';\n\nmodule.exports = isForced;\n\n\n/***/ }),\n\n/***/ \"99af\":\n/***/ (function(module, exports, __webpack_require__) {\n\n\"use strict\";\n\nvar $ = __webpack_require__(\"23e7\");\nvar fails = __webpack_require__(\"d039\");\nvar isArray = __webpack_require__(\"e8b5\");\nvar isObject = __webpack_require__(\"861d\");\nvar toObject = __webpack_require__(\"7b0b\");\nvar toLength = __webpack_require__(\"50c4\");\nvar createProperty = __webpack_require__(\"8418\");\nvar arraySpeciesCreate = __webpack_require__(\"65f0\");\nvar arrayMethodHasSpeciesSupport = __webpack_require__(\"1dde\");\nvar wellKnownSymbol = __webpack_require__(\"b622\");\nvar V8_VERSION = __webpack_require__(\"2d00\");\n\nvar IS_CONCAT_SPREADABLE = wellKnownSymbol('isConcatSpreadable');\nvar MAX_SAFE_INTEGER = 0x1FFFFFFFFFFFFF;\nvar MAXIMUM_ALLOWED_INDEX_EXCEEDED = 'Maximum allowed index exceeded';\n\n// We can't use this feature detection in V8 since it causes\n// deoptimization and serious performance degradation\n// https://github.com/zloirock/core-js/issues/679\nvar IS_CONCAT_SPREADABLE_SUPPORT = V8_VERSION >= 51 || !fails(function () {\n  var array = [];\n  array[IS_CONCAT_SPREADABLE] = false;\n  return array.concat()[0] !== array;\n});\n\nvar SPECIES_SUPPORT = arrayMethodHasSpeciesSupport('concat');\n\nvar isConcatSpreadable = function (O) {\n  if (!isObject(O)) return false;\n  var spreadable = O[IS_CONCAT_SPREADABLE];\n  return spreadable !== undefined ? !!spreadable : isArray(O);\n};\n\nvar FORCED = !IS_CONCAT_SPREADABLE_SUPPORT || !SPECIES_SUPPORT;\n\n// `Array.prototype.concat` method\n// https://tc39.github.io/ecma262/#sec-array.prototype.concat\n// with adding support of @@isConcatSpreadable and @@species\n$({ target: 'Array', proto: true, forced: FORCED }, {\n  concat: function concat(arg) { // eslint-disable-line no-unused-vars\n    var O = toObject(this);\n    var A = arraySpeciesCreate(O, 0);\n    var n = 0;\n    var i, k, length, len, E;\n    for (i = -1, length = arguments.length; i < length; i++) {\n      E = i === -1 ? O : arguments[i];\n      if (isConcatSpreadable(E)) {\n        len = toLength(E.length);\n        if (n + len > MAX_SAFE_INTEGER) throw TypeError(MAXIMUM_ALLOWED_INDEX_EXCEEDED);\n        for (k = 0; k < len; k++, n++) if (k in E) createProperty(A, n, E[k]);\n      } else {\n        if (n >= MAX_SAFE_INTEGER) throw TypeError(MAXIMUM_ALLOWED_INDEX_EXCEEDED);\n        createProperty(A, n++, E);\n      }\n    }\n    A.length = n;\n    return A;\n  }\n});\n\n\n/***/ }),\n\n/***/ \"9bdd\":\n/***/ (function(module, exports, __webpack_require__) {\n\nvar anObject = __webpack_require__(\"825a\");\n\n// call something on iterator step with safe closing on error\nmodule.exports = function (iterator, fn, value, ENTRIES) {\n  try {\n    return ENTRIES ? fn(anObject(value)[0], value[1]) : fn(value);\n  // 7.4.6 IteratorClose(iterator, completion)\n  } catch (error) {\n    var returnMethod = iterator['return'];\n    if (returnMethod !== undefined) anObject(returnMethod.call(iterator));\n    throw error;\n  }\n};\n\n\n/***/ }),\n\n/***/ \"9bf2\":\n/***/ (function(module, exports, __webpack_require__) {\n\nvar DESCRIPTORS = __webpack_require__(\"83ab\");\nvar IE8_DOM_DEFINE = __webpack_require__(\"0cfb\");\nvar anObject = __webpack_require__(\"825a\");\nvar toPrimitive = __webpack_require__(\"c04e\");\n\nvar nativeDefineProperty = Object.defineProperty;\n\n// `Object.defineProperty` method\n// https://tc39.github.io/ecma262/#sec-object.defineproperty\nexports.f = DESCRIPTORS ? nativeDefineProperty : function defineProperty(O, P, Attributes) {\n  anObject(O);\n  P = toPrimitive(P, true);\n  anObject(Attributes);\n  if (IE8_DOM_DEFINE) try {\n    return nativeDefineProperty(O, P, Attributes);\n  } catch (error) { /* empty */ }\n  if ('get' in Attributes || 'set' in Attributes) throw TypeError('Accessors not supported');\n  if ('value' in Attributes) O[P] = Attributes.value;\n  return O;\n};\n\n\n/***/ }),\n\n/***/ \"9ed3\":\n/***/ (function(module, exports, __webpack_require__) {\n\n\"use strict\";\n\nvar IteratorPrototype = __webpack_require__(\"ae93\").IteratorPrototype;\nvar create = __webpack_require__(\"7c73\");\nvar createPropertyDescriptor = __webpack_require__(\"5c6c\");\nvar setToStringTag = __webpack_require__(\"d44e\");\nvar Iterators = __webpack_require__(\"3f8c\");\n\nvar returnThis = function () { return this; };\n\nmodule.exports = function (IteratorConstructor, NAME, next) {\n  var TO_STRING_TAG = NAME + ' Iterator';\n  IteratorConstructor.prototype = create(IteratorPrototype, { next: createPropertyDescriptor(1, next) });\n  setToStringTag(IteratorConstructor, TO_STRING_TAG, false, true);\n  Iterators[TO_STRING_TAG] = returnThis;\n  return IteratorConstructor;\n};\n\n\n/***/ }),\n\n/***/ \"9f7f\":\n/***/ (function(module, exports, __webpack_require__) {\n\n\"use strict\";\n\n\nvar fails = __webpack_require__(\"d039\");\n\n// babel-minify transpiles RegExp('a', 'y') -> /a/y and it causes SyntaxError,\n// so we use an intermediate function.\nfunction RE(s, f) {\n  return RegExp(s, f);\n}\n\nexports.UNSUPPORTED_Y = fails(function () {\n  // babel-minify transpiles RegExp('a', 'y') -> /a/y and it causes SyntaxError\n  var re = RE('a', 'y');\n  re.lastIndex = 2;\n  return re.exec('abcd') != null;\n});\n\nexports.BROKEN_CARET = fails(function () {\n  // https://bugzilla.mozilla.org/show_bug.cgi?id=773687\n  var re = RE('^r', 'gy');\n  re.lastIndex = 2;\n  return re.exec('str') != null;\n});\n\n\n/***/ }),\n\n/***/ \"a15b\":\n/***/ (function(module, exports, __webpack_require__) {\n\n\"use strict\";\n\nvar $ = __webpack_require__(\"23e7\");\nvar IndexedObject = __webpack_require__(\"44ad\");\nvar toIndexedObject = __webpack_require__(\"fc6a\");\nvar arrayMethodIsStrict = __webpack_require__(\"a640\");\n\nvar nativeJoin = [].join;\n\nvar ES3_STRINGS = IndexedObject != Object;\nvar STRICT_METHOD = arrayMethodIsStrict('join', ',');\n\n// `Array.prototype.join` method\n// https://tc39.github.io/ecma262/#sec-array.prototype.join\n$({ target: 'Array', proto: true, forced: ES3_STRINGS || !STRICT_METHOD }, {\n  join: function join(separator) {\n    return nativeJoin.call(toIndexedObject(this), separator === undefined ? ',' : separator);\n  }\n});\n\n\n/***/ }),\n\n/***/ \"a48b\":\n/***/ (function(module, exports, __webpack_require__) {\n\nvar camel2hyphen = __webpack_require__(\"0497\");\n\nvar isDimension = function (feature) {\n  var re = /[height|width]$/;\n  return re.test(feature);\n};\n\nvar obj2mq = function (obj) {\n  var mq = '';\n  var features = Object.keys(obj);\n  features.forEach(function (feature, index) {\n    var value = obj[feature];\n    feature = camel2hyphen(feature);\n    // Add px to dimension features\n    if (isDimension(feature) && typeof value === 'number') {\n      value = value + 'px';\n    }\n    if (value === true) {\n      mq += feature;\n    } else if (value === false) {\n      mq += 'not ' + feature;\n    } else {\n      mq += '(' + feature + ': ' + value + ')';\n    }\n    if (index < features.length-1) {\n      mq += ' and '\n    }\n  });\n  return mq;\n};\n\nvar json2mq = function (query) {\n  var mq = '';\n  if (typeof query === 'string') {\n    return query;\n  }\n  // Handling array of media queries\n  if (query instanceof Array) {\n    query.forEach(function (q, index) {\n      mq += obj2mq(q);\n      if (index < query.length-1) {\n        mq += ', '\n      }\n    });\n    return mq;\n  }\n  // Handling single media query\n  return obj2mq(query);\n};\n\nmodule.exports = json2mq;\n\n/***/ }),\n\n/***/ \"a4d3\":\n/***/ (function(module, exports, __webpack_require__) {\n\n\"use strict\";\n\nvar $ = __webpack_require__(\"23e7\");\nvar global = __webpack_require__(\"da84\");\nvar getBuiltIn = __webpack_require__(\"d066\");\nvar IS_PURE = __webpack_require__(\"c430\");\nvar DESCRIPTORS = __webpack_require__(\"83ab\");\nvar NATIVE_SYMBOL = __webpack_require__(\"4930\");\nvar USE_SYMBOL_AS_UID = __webpack_require__(\"fdbf\");\nvar fails = __webpack_require__(\"d039\");\nvar has = __webpack_require__(\"5135\");\nvar isArray = __webpack_require__(\"e8b5\");\nvar isObject = __webpack_require__(\"861d\");\nvar anObject = __webpack_require__(\"825a\");\nvar toObject = __webpack_require__(\"7b0b\");\nvar toIndexedObject = __webpack_require__(\"fc6a\");\nvar toPrimitive = __webpack_require__(\"c04e\");\nvar createPropertyDescriptor = __webpack_require__(\"5c6c\");\nvar nativeObjectCreate = __webpack_require__(\"7c73\");\nvar objectKeys = __webpack_require__(\"df75\");\nvar getOwnPropertyNamesModule = __webpack_require__(\"241c\");\nvar getOwnPropertyNamesExternal = __webpack_require__(\"057f\");\nvar getOwnPropertySymbolsModule = __webpack_require__(\"7418\");\nvar getOwnPropertyDescriptorModule = __webpack_require__(\"06cf\");\nvar definePropertyModule = __webpack_require__(\"9bf2\");\nvar propertyIsEnumerableModule = __webpack_require__(\"d1e7\");\nvar createNonEnumerableProperty = __webpack_require__(\"9112\");\nvar redefine = __webpack_require__(\"6eeb\");\nvar shared = __webpack_require__(\"5692\");\nvar sharedKey = __webpack_require__(\"f772\");\nvar hiddenKeys = __webpack_require__(\"d012\");\nvar uid = __webpack_require__(\"90e3\");\nvar wellKnownSymbol = __webpack_require__(\"b622\");\nvar wrappedWellKnownSymbolModule = __webpack_require__(\"e538\");\nvar defineWellKnownSymbol = __webpack_require__(\"746f\");\nvar setToStringTag = __webpack_require__(\"d44e\");\nvar InternalStateModule = __webpack_require__(\"69f3\");\nvar $forEach = __webpack_require__(\"b727\").forEach;\n\nvar HIDDEN = sharedKey('hidden');\nvar SYMBOL = 'Symbol';\nvar PROTOTYPE = 'prototype';\nvar TO_PRIMITIVE = wellKnownSymbol('toPrimitive');\nvar setInternalState = InternalStateModule.set;\nvar getInternalState = InternalStateModule.getterFor(SYMBOL);\nvar ObjectPrototype = Object[PROTOTYPE];\nvar $Symbol = global.Symbol;\nvar $stringify = getBuiltIn('JSON', 'stringify');\nvar nativeGetOwnPropertyDescriptor = getOwnPropertyDescriptorModule.f;\nvar nativeDefineProperty = definePropertyModule.f;\nvar nativeGetOwnPropertyNames = getOwnPropertyNamesExternal.f;\nvar nativePropertyIsEnumerable = propertyIsEnumerableModule.f;\nvar AllSymbols = shared('symbols');\nvar ObjectPrototypeSymbols = shared('op-symbols');\nvar StringToSymbolRegistry = shared('string-to-symbol-registry');\nvar SymbolToStringRegistry = shared('symbol-to-string-registry');\nvar WellKnownSymbolsStore = shared('wks');\nvar QObject = global.QObject;\n// Don't use setters in Qt Script, https://github.com/zloirock/core-js/issues/173\nvar USE_SETTER = !QObject || !QObject[PROTOTYPE] || !QObject[PROTOTYPE].findChild;\n\n// fallback for old Android, https://code.google.com/p/v8/issues/detail?id=687\nvar setSymbolDescriptor = DESCRIPTORS && fails(function () {\n  return nativeObjectCreate(nativeDefineProperty({}, 'a', {\n    get: function () { return nativeDefineProperty(this, 'a', { value: 7 }).a; }\n  })).a != 7;\n}) ? function (O, P, Attributes) {\n  var ObjectPrototypeDescriptor = nativeGetOwnPropertyDescriptor(ObjectPrototype, P);\n  if (ObjectPrototypeDescriptor) delete ObjectPrototype[P];\n  nativeDefineProperty(O, P, Attributes);\n  if (ObjectPrototypeDescriptor && O !== ObjectPrototype) {\n    nativeDefineProperty(ObjectPrototype, P, ObjectPrototypeDescriptor);\n  }\n} : nativeDefineProperty;\n\nvar wrap = function (tag, description) {\n  var symbol = AllSymbols[tag] = nativeObjectCreate($Symbol[PROTOTYPE]);\n  setInternalState(symbol, {\n    type: SYMBOL,\n    tag: tag,\n    description: description\n  });\n  if (!DESCRIPTORS) symbol.description = description;\n  return symbol;\n};\n\nvar isSymbol = USE_SYMBOL_AS_UID ? function (it) {\n  return typeof it == 'symbol';\n} : function (it) {\n  return Object(it) instanceof $Symbol;\n};\n\nvar $defineProperty = function defineProperty(O, P, Attributes) {\n  if (O === ObjectPrototype) $defineProperty(ObjectPrototypeSymbols, P, Attributes);\n  anObject(O);\n  var key = toPrimitive(P, true);\n  anObject(Attributes);\n  if (has(AllSymbols, key)) {\n    if (!Attributes.enumerable) {\n      if (!has(O, HIDDEN)) nativeDefineProperty(O, HIDDEN, createPropertyDescriptor(1, {}));\n      O[HIDDEN][key] = true;\n    } else {\n      if (has(O, HIDDEN) && O[HIDDEN][key]) O[HIDDEN][key] = false;\n      Attributes = nativeObjectCreate(Attributes, { enumerable: createPropertyDescriptor(0, false) });\n    } return setSymbolDescriptor(O, key, Attributes);\n  } return nativeDefineProperty(O, key, Attributes);\n};\n\nvar $defineProperties = function defineProperties(O, Properties) {\n  anObject(O);\n  var properties = toIndexedObject(Properties);\n  var keys = objectKeys(properties).concat($getOwnPropertySymbols(properties));\n  $forEach(keys, function (key) {\n    if (!DESCRIPTORS || $propertyIsEnumerable.call(properties, key)) $defineProperty(O, key, properties[key]);\n  });\n  return O;\n};\n\nvar $create = function create(O, Properties) {\n  return Properties === undefined ? nativeObjectCreate(O) : $defineProperties(nativeObjectCreate(O), Properties);\n};\n\nvar $propertyIsEnumerable = function propertyIsEnumerable(V) {\n  var P = toPrimitive(V, true);\n  var enumerable = nativePropertyIsEnumerable.call(this, P);\n  if (this === ObjectPrototype && has(AllSymbols, P) && !has(ObjectPrototypeSymbols, P)) return false;\n  return enumerable || !has(this, P) || !has(AllSymbols, P) || has(this, HIDDEN) && this[HIDDEN][P] ? enumerable : true;\n};\n\nvar $getOwnPropertyDescriptor = function getOwnPropertyDescriptor(O, P) {\n  var it = toIndexedObject(O);\n  var key = toPrimitive(P, true);\n  if (it === ObjectPrototype && has(AllSymbols, key) && !has(ObjectPrototypeSymbols, key)) return;\n  var descriptor = nativeGetOwnPropertyDescriptor(it, key);\n  if (descriptor && has(AllSymbols, key) && !(has(it, HIDDEN) && it[HIDDEN][key])) {\n    descriptor.enumerable = true;\n  }\n  return descriptor;\n};\n\nvar $getOwnPropertyNames = function getOwnPropertyNames(O) {\n  var names = nativeGetOwnPropertyNames(toIndexedObject(O));\n  var result = [];\n  $forEach(names, function (key) {\n    if (!has(AllSymbols, key) && !has(hiddenKeys, key)) result.push(key);\n  });\n  return result;\n};\n\nvar $getOwnPropertySymbols = function getOwnPropertySymbols(O) {\n  var IS_OBJECT_PROTOTYPE = O === ObjectPrototype;\n  var names = nativeGetOwnPropertyNames(IS_OBJECT_PROTOTYPE ? ObjectPrototypeSymbols : toIndexedObject(O));\n  var result = [];\n  $forEach(names, function (key) {\n    if (has(AllSymbols, key) && (!IS_OBJECT_PROTOTYPE || has(ObjectPrototype, key))) {\n      result.push(AllSymbols[key]);\n    }\n  });\n  return result;\n};\n\n// `Symbol` constructor\n// https://tc39.github.io/ecma262/#sec-symbol-constructor\nif (!NATIVE_SYMBOL) {\n  $Symbol = function Symbol() {\n    if (this instanceof $Symbol) throw TypeError('Symbol is not a constructor');\n    var description = !arguments.length || arguments[0] === undefined ? undefined : String(arguments[0]);\n    var tag = uid(description);\n    var setter = function (value) {\n      if (this === ObjectPrototype) setter.call(ObjectPrototypeSymbols, value);\n      if (has(this, HIDDEN) && has(this[HIDDEN], tag)) this[HIDDEN][tag] = false;\n      setSymbolDescriptor(this, tag, createPropertyDescriptor(1, value));\n    };\n    if (DESCRIPTORS && USE_SETTER) setSymbolDescriptor(ObjectPrototype, tag, { configurable: true, set: setter });\n    return wrap(tag, description);\n  };\n\n  redefine($Symbol[PROTOTYPE], 'toString', function toString() {\n    return getInternalState(this).tag;\n  });\n\n  redefine($Symbol, 'withoutSetter', function (description) {\n    return wrap(uid(description), description);\n  });\n\n  propertyIsEnumerableModule.f = $propertyIsEnumerable;\n  definePropertyModule.f = $defineProperty;\n  getOwnPropertyDescriptorModule.f = $getOwnPropertyDescriptor;\n  getOwnPropertyNamesModule.f = getOwnPropertyNamesExternal.f = $getOwnPropertyNames;\n  getOwnPropertySymbolsModule.f = $getOwnPropertySymbols;\n\n  wrappedWellKnownSymbolModule.f = function (name) {\n    return wrap(wellKnownSymbol(name), name);\n  };\n\n  if (DESCRIPTORS) {\n    // https://github.com/tc39/proposal-Symbol-description\n    nativeDefineProperty($Symbol[PROTOTYPE], 'description', {\n      configurable: true,\n      get: function description() {\n        return getInternalState(this).description;\n      }\n    });\n    if (!IS_PURE) {\n      redefine(ObjectPrototype, 'propertyIsEnumerable', $propertyIsEnumerable, { unsafe: true });\n    }\n  }\n}\n\n$({ global: true, wrap: true, forced: !NATIVE_SYMBOL, sham: !NATIVE_SYMBOL }, {\n  Symbol: $Symbol\n});\n\n$forEach(objectKeys(WellKnownSymbolsStore), function (name) {\n  defineWellKnownSymbol(name);\n});\n\n$({ target: SYMBOL, stat: true, forced: !NATIVE_SYMBOL }, {\n  // `Symbol.for` method\n  // https://tc39.github.io/ecma262/#sec-symbol.for\n  'for': function (key) {\n    var string = String(key);\n    if (has(StringToSymbolRegistry, string)) return StringToSymbolRegistry[string];\n    var symbol = $Symbol(string);\n    StringToSymbolRegistry[string] = symbol;\n    SymbolToStringRegistry[symbol] = string;\n    return symbol;\n  },\n  // `Symbol.keyFor` method\n  // https://tc39.github.io/ecma262/#sec-symbol.keyfor\n  keyFor: function keyFor(sym) {\n    if (!isSymbol(sym)) throw TypeError(sym + ' is not a symbol');\n    if (has(SymbolToStringRegistry, sym)) return SymbolToStringRegistry[sym];\n  },\n  useSetter: function () { USE_SETTER = true; },\n  useSimple: function () { USE_SETTER = false; }\n});\n\n$({ target: 'Object', stat: true, forced: !NATIVE_SYMBOL, sham: !DESCRIPTORS }, {\n  // `Object.create` method\n  // https://tc39.github.io/ecma262/#sec-object.create\n  create: $create,\n  // `Object.defineProperty` method\n  // https://tc39.github.io/ecma262/#sec-object.defineproperty\n  defineProperty: $defineProperty,\n  // `Object.defineProperties` method\n  // https://tc39.github.io/ecma262/#sec-object.defineproperties\n  defineProperties: $defineProperties,\n  // `Object.getOwnPropertyDescriptor` method\n  // https://tc39.github.io/ecma262/#sec-object.getownpropertydescriptors\n  getOwnPropertyDescriptor: $getOwnPropertyDescriptor\n});\n\n$({ target: 'Object', stat: true, forced: !NATIVE_SYMBOL }, {\n  // `Object.getOwnPropertyNames` method\n  // https://tc39.github.io/ecma262/#sec-object.getownpropertynames\n  getOwnPropertyNames: $getOwnPropertyNames,\n  // `Object.getOwnPropertySymbols` method\n  // https://tc39.github.io/ecma262/#sec-object.getownpropertysymbols\n  getOwnPropertySymbols: $getOwnPropertySymbols\n});\n\n// Chrome 38 and 39 `Object.getOwnPropertySymbols` fails on primitives\n// https://bugs.chromium.org/p/v8/issues/detail?id=3443\n$({ target: 'Object', stat: true, forced: fails(function () { getOwnPropertySymbolsModule.f(1); }) }, {\n  getOwnPropertySymbols: function getOwnPropertySymbols(it) {\n    return getOwnPropertySymbolsModule.f(toObject(it));\n  }\n});\n\n// `JSON.stringify` method behavior with symbols\n// https://tc39.github.io/ecma262/#sec-json.stringify\nif ($stringify) {\n  var FORCED_JSON_STRINGIFY = !NATIVE_SYMBOL || fails(function () {\n    var symbol = $Symbol();\n    // MS Edge converts symbol values to JSON as {}\n    return $stringify([symbol]) != '[null]'\n      // WebKit converts symbol values to JSON as null\n      || $stringify({ a: symbol }) != '{}'\n      // V8 throws on boxed symbols\n      || $stringify(Object(symbol)) != '{}';\n  });\n\n  $({ target: 'JSON', stat: true, forced: FORCED_JSON_STRINGIFY }, {\n    // eslint-disable-next-line no-unused-vars\n    stringify: function stringify(it, replacer, space) {\n      var args = [it];\n      var index = 1;\n      var $replacer;\n      while (arguments.length > index) args.push(arguments[index++]);\n      $replacer = replacer;\n      if (!isObject(replacer) && it === undefined || isSymbol(it)) return; // IE8 returns string on undefined\n      if (!isArray(replacer)) replacer = function (key, value) {\n        if (typeof $replacer == 'function') value = $replacer.call(this, key, value);\n        if (!isSymbol(value)) return value;\n      };\n      args[1] = replacer;\n      return $stringify.apply(null, args);\n    }\n  });\n}\n\n// `Symbol.prototype[@@toPrimitive]` method\n// https://tc39.github.io/ecma262/#sec-symbol.prototype-@@toprimitive\nif (!$Symbol[PROTOTYPE][TO_PRIMITIVE]) {\n  createNonEnumerableProperty($Symbol[PROTOTYPE], TO_PRIMITIVE, $Symbol[PROTOTYPE].valueOf);\n}\n// `Symbol.prototype[@@toStringTag]` property\n// https://tc39.github.io/ecma262/#sec-symbol.prototype-@@tostringtag\nsetToStringTag($Symbol, SYMBOL);\n\nhiddenKeys[HIDDEN] = true;\n\n\n/***/ }),\n\n/***/ \"a623\":\n/***/ (function(module, exports, __webpack_require__) {\n\n\"use strict\";\n\nvar $ = __webpack_require__(\"23e7\");\nvar $every = __webpack_require__(\"b727\").every;\nvar arrayMethodIsStrict = __webpack_require__(\"a640\");\nvar arrayMethodUsesToLength = __webpack_require__(\"ae40\");\n\nvar STRICT_METHOD = arrayMethodIsStrict('every');\nvar USES_TO_LENGTH = arrayMethodUsesToLength('every');\n\n// `Array.prototype.every` method\n// https://tc39.github.io/ecma262/#sec-array.prototype.every\n$({ target: 'Array', proto: true, forced: !STRICT_METHOD || !USES_TO_LENGTH }, {\n  every: function every(callbackfn /* , thisArg */) {\n    return $every(this, callbackfn, arguments.length > 1 ? arguments[1] : undefined);\n  }\n});\n\n\n/***/ }),\n\n/***/ \"a630\":\n/***/ (function(module, exports, __webpack_require__) {\n\nvar $ = __webpack_require__(\"23e7\");\nvar from = __webpack_require__(\"4df4\");\nvar checkCorrectnessOfIteration = __webpack_require__(\"1c7e\");\n\nvar INCORRECT_ITERATION = !checkCorrectnessOfIteration(function (iterable) {\n  Array.from(iterable);\n});\n\n// `Array.from` method\n// https://tc39.github.io/ecma262/#sec-array.from\n$({ target: 'Array', stat: true, forced: INCORRECT_ITERATION }, {\n  from: from\n});\n\n\n/***/ }),\n\n/***/ \"a640\":\n/***/ (function(module, exports, __webpack_require__) {\n\n\"use strict\";\n\nvar fails = __webpack_require__(\"d039\");\n\nmodule.exports = function (METHOD_NAME, argument) {\n  var method = [][METHOD_NAME];\n  return !!method && fails(function () {\n    // eslint-disable-next-line no-useless-call,no-throw-literal\n    method.call(null, argument || function () { throw 1; }, 1);\n  });\n};\n\n\n/***/ }),\n\n/***/ \"a691\":\n/***/ (function(module, exports) {\n\nvar ceil = Math.ceil;\nvar floor = Math.floor;\n\n// `ToInteger` abstract operation\n// https://tc39.github.io/ecma262/#sec-tointeger\nmodule.exports = function (argument) {\n  return isNaN(argument = +argument) ? 0 : (argument > 0 ? floor : ceil)(argument);\n};\n\n\n/***/ }),\n\n/***/ \"a9e3\":\n/***/ (function(module, exports, __webpack_require__) {\n\n\"use strict\";\n\nvar DESCRIPTORS = __webpack_require__(\"83ab\");\nvar global = __webpack_require__(\"da84\");\nvar isForced = __webpack_require__(\"94ca\");\nvar redefine = __webpack_require__(\"6eeb\");\nvar has = __webpack_require__(\"5135\");\nvar classof = __webpack_require__(\"c6b6\");\nvar inheritIfRequired = __webpack_require__(\"7156\");\nvar toPrimitive = __webpack_require__(\"c04e\");\nvar fails = __webpack_require__(\"d039\");\nvar create = __webpack_require__(\"7c73\");\nvar getOwnPropertyNames = __webpack_require__(\"241c\").f;\nvar getOwnPropertyDescriptor = __webpack_require__(\"06cf\").f;\nvar defineProperty = __webpack_require__(\"9bf2\").f;\nvar trim = __webpack_require__(\"58a8\").trim;\n\nvar NUMBER = 'Number';\nvar NativeNumber = global[NUMBER];\nvar NumberPrototype = NativeNumber.prototype;\n\n// Opera ~12 has broken Object#toString\nvar BROKEN_CLASSOF = classof(create(NumberPrototype)) == NUMBER;\n\n// `ToNumber` abstract operation\n// https://tc39.github.io/ecma262/#sec-tonumber\nvar toNumber = function (argument) {\n  var it = toPrimitive(argument, false);\n  var first, third, radix, maxCode, digits, length, index, code;\n  if (typeof it == 'string' && it.length > 2) {\n    it = trim(it);\n    first = it.charCodeAt(0);\n    if (first === 43 || first === 45) {\n      third = it.charCodeAt(2);\n      if (third === 88 || third === 120) return NaN; // Number('+0x1') should be NaN, old V8 fix\n    } else if (first === 48) {\n      switch (it.charCodeAt(1)) {\n        case 66: case 98: radix = 2; maxCode = 49; break; // fast equal of /^0b[01]+$/i\n        case 79: case 111: radix = 8; maxCode = 55; break; // fast equal of /^0o[0-7]+$/i\n        default: return +it;\n      }\n      digits = it.slice(2);\n      length = digits.length;\n      for (index = 0; index < length; index++) {\n        code = digits.charCodeAt(index);\n        // parseInt parses a string to a first unavailable symbol\n        // but ToNumber should return NaN if a string contains unavailable symbols\n        if (code < 48 || code > maxCode) return NaN;\n      } return parseInt(digits, radix);\n    }\n  } return +it;\n};\n\n// `Number` constructor\n// https://tc39.github.io/ecma262/#sec-number-constructor\nif (isForced(NUMBER, !NativeNumber(' 0o1') || !NativeNumber('0b1') || NativeNumber('+0x1'))) {\n  var NumberWrapper = function Number(value) {\n    var it = arguments.length < 1 ? 0 : value;\n    var dummy = this;\n    return dummy instanceof NumberWrapper\n      // check on 1..constructor(foo) case\n      && (BROKEN_CLASSOF ? fails(function () { NumberPrototype.valueOf.call(dummy); }) : classof(dummy) != NUMBER)\n        ? inheritIfRequired(new NativeNumber(toNumber(it)), dummy, NumberWrapper) : toNumber(it);\n  };\n  for (var keys = DESCRIPTORS ? getOwnPropertyNames(NativeNumber) : (\n    // ES3:\n    'MAX_VALUE,MIN_VALUE,NaN,NEGATIVE_INFINITY,POSITIVE_INFINITY,' +\n    // ES2015 (in case, if modules with ES2015 Number statics required before):\n    'EPSILON,isFinite,isInteger,isNaN,isSafeInteger,MAX_SAFE_INTEGER,' +\n    'MIN_SAFE_INTEGER,parseFloat,parseInt,isInteger'\n  ).split(','), j = 0, key; keys.length > j; j++) {\n    if (has(NativeNumber, key = keys[j]) && !has(NumberWrapper, key)) {\n      defineProperty(NumberWrapper, key, getOwnPropertyDescriptor(NativeNumber, key));\n    }\n  }\n  NumberWrapper.prototype = NumberPrototype;\n  NumberPrototype.constructor = NumberWrapper;\n  redefine(global, NUMBER, NumberWrapper);\n}\n\n\n/***/ }),\n\n/***/ \"ac1f\":\n/***/ (function(module, exports, __webpack_require__) {\n\n\"use strict\";\n\nvar $ = __webpack_require__(\"23e7\");\nvar exec = __webpack_require__(\"9263\");\n\n$({ target: 'RegExp', proto: true, forced: /./.exec !== exec }, {\n  exec: exec\n});\n\n\n/***/ }),\n\n/***/ \"ad6d\":\n/***/ (function(module, exports, __webpack_require__) {\n\n\"use strict\";\n\nvar anObject = __webpack_require__(\"825a\");\n\n// `RegExp.prototype.flags` getter implementation\n// https://tc39.github.io/ecma262/#sec-get-regexp.prototype.flags\nmodule.exports = function () {\n  var that = anObject(this);\n  var result = '';\n  if (that.global) result += 'g';\n  if (that.ignoreCase) result += 'i';\n  if (that.multiline) result += 'm';\n  if (that.dotAll) result += 's';\n  if (that.unicode) result += 'u';\n  if (that.sticky) result += 'y';\n  return result;\n};\n\n\n/***/ }),\n\n/***/ \"ae40\":\n/***/ (function(module, exports, __webpack_require__) {\n\nvar DESCRIPTORS = __webpack_require__(\"83ab\");\nvar fails = __webpack_require__(\"d039\");\nvar has = __webpack_require__(\"5135\");\n\nvar defineProperty = Object.defineProperty;\nvar cache = {};\n\nvar thrower = function (it) { throw it; };\n\nmodule.exports = function (METHOD_NAME, options) {\n  if (has(cache, METHOD_NAME)) return cache[METHOD_NAME];\n  if (!options) options = {};\n  var method = [][METHOD_NAME];\n  var ACCESSORS = has(options, 'ACCESSORS') ? options.ACCESSORS : false;\n  var argument0 = has(options, 0) ? options[0] : thrower;\n  var argument1 = has(options, 1) ? options[1] : undefined;\n\n  return cache[METHOD_NAME] = !!method && !fails(function () {\n    if (ACCESSORS && !DESCRIPTORS) return true;\n    var O = { length: -1 };\n\n    if (ACCESSORS) defineProperty(O, 1, { enumerable: true, get: thrower });\n    else O[1] = 1;\n\n    method.call(O, argument0, argument1);\n  });\n};\n\n\n/***/ }),\n\n/***/ \"ae93\":\n/***/ (function(module, exports, __webpack_require__) {\n\n\"use strict\";\n\nvar getPrototypeOf = __webpack_require__(\"e163\");\nvar createNonEnumerableProperty = __webpack_require__(\"9112\");\nvar has = __webpack_require__(\"5135\");\nvar wellKnownSymbol = __webpack_require__(\"b622\");\nvar IS_PURE = __webpack_require__(\"c430\");\n\nvar ITERATOR = wellKnownSymbol('iterator');\nvar BUGGY_SAFARI_ITERATORS = false;\n\nvar returnThis = function () { return this; };\n\n// `%IteratorPrototype%` object\n// https://tc39.github.io/ecma262/#sec-%iteratorprototype%-object\nvar IteratorPrototype, PrototypeOfArrayIteratorPrototype, arrayIterator;\n\nif ([].keys) {\n  arrayIterator = [].keys();\n  // Safari 8 has buggy iterators w/o `next`\n  if (!('next' in arrayIterator)) BUGGY_SAFARI_ITERATORS = true;\n  else {\n    PrototypeOfArrayIteratorPrototype = getPrototypeOf(getPrototypeOf(arrayIterator));\n    if (PrototypeOfArrayIteratorPrototype !== Object.prototype) IteratorPrototype = PrototypeOfArrayIteratorPrototype;\n  }\n}\n\nif (IteratorPrototype == undefined) IteratorPrototype = {};\n\n// 25.1.2.1.1 %IteratorPrototype%[@@iterator]()\nif (!IS_PURE && !has(IteratorPrototype, ITERATOR)) {\n  createNonEnumerableProperty(IteratorPrototype, ITERATOR, returnThis);\n}\n\nmodule.exports = {\n  IteratorPrototype: IteratorPrototype,\n  BUGGY_SAFARI_ITERATORS: BUGGY_SAFARI_ITERATORS\n};\n\n\n/***/ }),\n\n/***/ \"b041\":\n/***/ (function(module, exports, __webpack_require__) {\n\n\"use strict\";\n\nvar TO_STRING_TAG_SUPPORT = __webpack_require__(\"00ee\");\nvar classof = __webpack_require__(\"f5df\");\n\n// `Object.prototype.toString` method implementation\n// https://tc39.github.io/ecma262/#sec-object.prototype.tostring\nmodule.exports = TO_STRING_TAG_SUPPORT ? {}.toString : function toString() {\n  return '[object ' + classof(this) + ']';\n};\n\n\n/***/ }),\n\n/***/ \"b0c0\":\n/***/ (function(module, exports, __webpack_require__) {\n\nvar DESCRIPTORS = __webpack_require__(\"83ab\");\nvar defineProperty = __webpack_require__(\"9bf2\").f;\n\nvar FunctionPrototype = Function.prototype;\nvar FunctionPrototypeToString = FunctionPrototype.toString;\nvar nameRE = /^\\s*function ([^ (]*)/;\nvar NAME = 'name';\n\n// Function instances `.name` property\n// https://tc39.github.io/ecma262/#sec-function-instances-name\nif (DESCRIPTORS && !(NAME in FunctionPrototype)) {\n  defineProperty(FunctionPrototype, NAME, {\n    configurable: true,\n    get: function () {\n      try {\n        return FunctionPrototypeToString.call(this).match(nameRE)[1];\n      } catch (error) {\n        return '';\n      }\n    }\n  });\n}\n\n\n/***/ }),\n\n/***/ \"b622\":\n/***/ (function(module, exports, __webpack_require__) {\n\nvar global = __webpack_require__(\"da84\");\nvar shared = __webpack_require__(\"5692\");\nvar has = __webpack_require__(\"5135\");\nvar uid = __webpack_require__(\"90e3\");\nvar NATIVE_SYMBOL = __webpack_require__(\"4930\");\nvar USE_SYMBOL_AS_UID = __webpack_require__(\"fdbf\");\n\nvar WellKnownSymbolsStore = shared('wks');\nvar Symbol = global.Symbol;\nvar createWellKnownSymbol = USE_SYMBOL_AS_UID ? Symbol : Symbol && Symbol.withoutSetter || uid;\n\nmodule.exports = function (name) {\n  if (!has(WellKnownSymbolsStore, name)) {\n    if (NATIVE_SYMBOL && has(Symbol, name)) WellKnownSymbolsStore[name] = Symbol[name];\n    else WellKnownSymbolsStore[name] = createWellKnownSymbol('Symbol.' + name);\n  } return WellKnownSymbolsStore[name];\n};\n\n\n/***/ }),\n\n/***/ \"b64b\":\n/***/ (function(module, exports, __webpack_require__) {\n\nvar $ = __webpack_require__(\"23e7\");\nvar toObject = __webpack_require__(\"7b0b\");\nvar nativeKeys = __webpack_require__(\"df75\");\nvar fails = __webpack_require__(\"d039\");\n\nvar FAILS_ON_PRIMITIVES = fails(function () { nativeKeys(1); });\n\n// `Object.keys` method\n// https://tc39.github.io/ecma262/#sec-object.keys\n$({ target: 'Object', stat: true, forced: FAILS_ON_PRIMITIVES }, {\n  keys: function keys(it) {\n    return nativeKeys(toObject(it));\n  }\n});\n\n\n/***/ }),\n\n/***/ \"b727\":\n/***/ (function(module, exports, __webpack_require__) {\n\nvar bind = __webpack_require__(\"0366\");\nvar IndexedObject = __webpack_require__(\"44ad\");\nvar toObject = __webpack_require__(\"7b0b\");\nvar toLength = __webpack_require__(\"50c4\");\nvar arraySpeciesCreate = __webpack_require__(\"65f0\");\n\nvar push = [].push;\n\n// `Array.prototype.{ forEach, map, filter, some, every, find, findIndex }` methods implementation\nvar createMethod = function (TYPE) {\n  var IS_MAP = TYPE == 1;\n  var IS_FILTER = TYPE == 2;\n  var IS_SOME = TYPE == 3;\n  var IS_EVERY = TYPE == 4;\n  var IS_FIND_INDEX = TYPE == 6;\n  var NO_HOLES = TYPE == 5 || IS_FIND_INDEX;\n  return function ($this, callbackfn, that, specificCreate) {\n    var O = toObject($this);\n    var self = IndexedObject(O);\n    var boundFunction = bind(callbackfn, that, 3);\n    var length = toLength(self.length);\n    var index = 0;\n    var create = specificCreate || arraySpeciesCreate;\n    var target = IS_MAP ? create($this, length) : IS_FILTER ? create($this, 0) : undefined;\n    var value, result;\n    for (;length > index; index++) if (NO_HOLES || index in self) {\n      value = self[index];\n      result = boundFunction(value, index, O);\n      if (TYPE) {\n        if (IS_MAP) target[index] = result; // map\n        else if (result) switch (TYPE) {\n          case 3: return true;              // some\n          case 5: return value;             // find\n          case 6: return index;             // findIndex\n          case 2: push.call(target, value); // filter\n        } else if (IS_EVERY) return false;  // every\n      }\n    }\n    return IS_FIND_INDEX ? -1 : IS_SOME || IS_EVERY ? IS_EVERY : target;\n  };\n};\n\nmodule.exports = {\n  // `Array.prototype.forEach` method\n  // https://tc39.github.io/ecma262/#sec-array.prototype.foreach\n  forEach: createMethod(0),\n  // `Array.prototype.map` method\n  // https://tc39.github.io/ecma262/#sec-array.prototype.map\n  map: createMethod(1),\n  // `Array.prototype.filter` method\n  // https://tc39.github.io/ecma262/#sec-array.prototype.filter\n  filter: createMethod(2),\n  // `Array.prototype.some` method\n  // https://tc39.github.io/ecma262/#sec-array.prototype.some\n  some: createMethod(3),\n  // `Array.prototype.every` method\n  // https://tc39.github.io/ecma262/#sec-array.prototype.every\n  every: createMethod(4),\n  // `Array.prototype.find` method\n  // https://tc39.github.io/ecma262/#sec-array.prototype.find\n  find: createMethod(5),\n  // `Array.prototype.findIndex` method\n  // https://tc39.github.io/ecma262/#sec-array.prototype.findIndex\n  findIndex: createMethod(6)\n};\n\n\n/***/ }),\n\n/***/ \"bcf7\":\n/***/ (function(module, exports, __webpack_require__) {\n\nvar QueryHandler = __webpack_require__(\"9020\");\nvar each = __webpack_require__(\"217d\").each;\n\n/**\n * Represents a single media query, manages it's state and registered handlers for this query\n *\n * @constructor\n * @param {string} query the media query string\n * @param {boolean} [isUnconditional=false] whether the media query should run regardless of whether the conditions are met. Primarily for helping older browsers deal with mobile-first design\n */\nfunction MediaQuery(query, isUnconditional) {\n    this.query = query;\n    this.isUnconditional = isUnconditional;\n    this.handlers = [];\n    this.mql = window.matchMedia(query);\n\n    var self = this;\n    this.listener = function(mql) {\n        // Chrome passes an MediaQueryListEvent object, while other browsers pass MediaQueryList directly\n        self.mql = mql.currentTarget || mql;\n        self.assess();\n    };\n    this.mql.addListener(this.listener);\n}\n\nMediaQuery.prototype = {\n\n    constuctor : MediaQuery,\n\n    /**\n     * add a handler for this query, triggering if already active\n     *\n     * @param {object} handler\n     * @param {function} handler.match callback for when query is activated\n     * @param {function} [handler.unmatch] callback for when query is deactivated\n     * @param {function} [handler.setup] callback for immediate execution when a query handler is registered\n     * @param {boolean} [handler.deferSetup=false] should the setup callback be deferred until the first time the handler is matched?\n     */\n    addHandler : function(handler) {\n        var qh = new QueryHandler(handler);\n        this.handlers.push(qh);\n\n        this.matches() && qh.on();\n    },\n\n    /**\n     * removes the given handler from the collection, and calls it's destroy methods\n     *\n     * @param {object || function} handler the handler to remove\n     */\n    removeHandler : function(handler) {\n        var handlers = this.handlers;\n        each(handlers, function(h, i) {\n            if(h.equals(handler)) {\n                h.destroy();\n                return !handlers.splice(i,1); //remove from array and exit each early\n            }\n        });\n    },\n\n    /**\n     * Determine whether the media query should be considered a match\n     *\n     * @return {Boolean} true if media query can be considered a match, false otherwise\n     */\n    matches : function() {\n        return this.mql.matches || this.isUnconditional;\n    },\n\n    /**\n     * Clears all handlers and unbinds events\n     */\n    clear : function() {\n        each(this.handlers, function(handler) {\n            handler.destroy();\n        });\n        this.mql.removeListener(this.listener);\n        this.handlers.length = 0; //clear array\n    },\n\n    /*\n        * Assesses the query, turning on all handlers if it matches, turning them off if it doesn't match\n        */\n    assess : function() {\n        var action = this.matches() ? 'on' : 'off';\n\n        each(this.handlers, function(handler) {\n            handler[action]();\n        });\n    }\n};\n\nmodule.exports = MediaQuery;\n\n\n/***/ }),\n\n/***/ \"c04e\":\n/***/ (function(module, exports, __webpack_require__) {\n\nvar isObject = __webpack_require__(\"861d\");\n\n// `ToPrimitive` abstract operation\n// https://tc39.github.io/ecma262/#sec-toprimitive\n// instead of the ES6 spec version, we didn't implement @@toPrimitive case\n// and the second argument - flag - preferred type is a string\nmodule.exports = function (input, PREFERRED_STRING) {\n  if (!isObject(input)) return input;\n  var fn, val;\n  if (PREFERRED_STRING && typeof (fn = input.toString) == 'function' && !isObject(val = fn.call(input))) return val;\n  if (typeof (fn = input.valueOf) == 'function' && !isObject(val = fn.call(input))) return val;\n  if (!PREFERRED_STRING && typeof (fn = input.toString) == 'function' && !isObject(val = fn.call(input))) return val;\n  throw TypeError(\"Can't convert object to primitive value\");\n};\n\n\n/***/ }),\n\n/***/ \"c195\":\n/***/ (function(module, exports, __webpack_require__) {\n\nvar MediaQuery = __webpack_require__(\"bcf7\");\nvar Util = __webpack_require__(\"217d\");\nvar each = Util.each;\nvar isFunction = Util.isFunction;\nvar isArray = Util.isArray;\n\n/**\n * Allows for registration of query handlers.\n * Manages the query handler's state and is responsible for wiring up browser events\n *\n * @constructor\n */\nfunction MediaQueryDispatch () {\n    if(!window.matchMedia) {\n        throw new Error('matchMedia not present, legacy browsers require a polyfill');\n    }\n\n    this.queries = {};\n    this.browserIsIncapable = !window.matchMedia('only all').matches;\n}\n\nMediaQueryDispatch.prototype = {\n\n    constructor : MediaQueryDispatch,\n\n    /**\n     * Registers a handler for the given media query\n     *\n     * @param {string} q the media query\n     * @param {object || Array || Function} options either a single query handler object, a function, or an array of query handlers\n     * @param {function} options.match fired when query matched\n     * @param {function} [options.unmatch] fired when a query is no longer matched\n     * @param {function} [options.setup] fired when handler first triggered\n     * @param {boolean} [options.deferSetup=false] whether setup should be run immediately or deferred until query is first matched\n     * @param {boolean} [shouldDegrade=false] whether this particular media query should always run on incapable browsers\n     */\n    register : function(q, options, shouldDegrade) {\n        var queries         = this.queries,\n            isUnconditional = shouldDegrade && this.browserIsIncapable;\n\n        if(!queries[q]) {\n            queries[q] = new MediaQuery(q, isUnconditional);\n        }\n\n        //normalise to object in an array\n        if(isFunction(options)) {\n            options = { match : options };\n        }\n        if(!isArray(options)) {\n            options = [options];\n        }\n        each(options, function(handler) {\n            if (isFunction(handler)) {\n                handler = { match : handler };\n            }\n            queries[q].addHandler(handler);\n        });\n\n        return this;\n    },\n\n    /**\n     * unregisters a query and all it's handlers, or a specific handler for a query\n     *\n     * @param {string} q the media query to target\n     * @param {object || function} [handler] specific handler to unregister\n     */\n    unregister : function(q, handler) {\n        var query = this.queries[q];\n\n        if(query) {\n            if(handler) {\n                query.removeHandler(handler);\n            }\n            else {\n                query.clear();\n                delete this.queries[q];\n            }\n        }\n\n        return this;\n    }\n};\n\nmodule.exports = MediaQueryDispatch;\n\n\n/***/ }),\n\n/***/ \"c430\":\n/***/ (function(module, exports) {\n\nmodule.exports = false;\n\n\n/***/ }),\n\n/***/ \"c6b6\":\n/***/ (function(module, exports) {\n\nvar toString = {}.toString;\n\nmodule.exports = function (it) {\n  return toString.call(it).slice(8, -1);\n};\n\n\n/***/ }),\n\n/***/ \"c6cd\":\n/***/ (function(module, exports, __webpack_require__) {\n\nvar global = __webpack_require__(\"da84\");\nvar setGlobal = __webpack_require__(\"ce4e\");\n\nvar SHARED = '__core-js_shared__';\nvar store = global[SHARED] || setGlobal(SHARED, {});\n\nmodule.exports = store;\n\n\n/***/ }),\n\n/***/ \"c832\":\n/***/ (function(module, exports, __webpack_require__) {\n\n/* WEBPACK VAR INJECTION */(function(global) {/**\n * lodash (Custom Build) <https://lodash.com/>\n * Build: `lodash modularize exports=\"npm\" -o ./`\n * Copyright jQuery Foundation and other contributors <https://jquery.org/>\n * Released under MIT license <https://lodash.com/license>\n * Based on Underscore.js 1.8.3 <http://underscorejs.org/LICENSE>\n * Copyright Jeremy Ashkenas, DocumentCloud and Investigative Reporters & Editors\n */\n\n/** Used as the `TypeError` message for \"Functions\" methods. */\nvar FUNC_ERROR_TEXT = 'Expected a function';\n\n/** Used to stand-in for `undefined` hash values. */\nvar HASH_UNDEFINED = '__lodash_hash_undefined__';\n\n/** Used as references for various `Number` constants. */\nvar INFINITY = 1 / 0;\n\n/** `Object#toString` result references. */\nvar funcTag = '[object Function]',\n    genTag = '[object GeneratorFunction]',\n    symbolTag = '[object Symbol]';\n\n/** Used to match property names within property paths. */\nvar reIsDeepProp = /\\.|\\[(?:[^[\\]]*|([\"'])(?:(?!\\1)[^\\\\]|\\\\.)*?\\1)\\]/,\n    reIsPlainProp = /^\\w*$/,\n    reLeadingDot = /^\\./,\n    rePropName = /[^.[\\]]+|\\[(?:(-?\\d+(?:\\.\\d+)?)|([\"'])((?:(?!\\2)[^\\\\]|\\\\.)*?)\\2)\\]|(?=(?:\\.|\\[\\])(?:\\.|\\[\\]|$))/g;\n\n/**\n * Used to match `RegExp`\n * [syntax characters](http://ecma-international.org/ecma-262/7.0/#sec-patterns).\n */\nvar reRegExpChar = /[\\\\^$.*+?()[\\]{}|]/g;\n\n/** Used to match backslashes in property paths. */\nvar reEscapeChar = /\\\\(\\\\)?/g;\n\n/** Used to detect host constructors (Safari). */\nvar reIsHostCtor = /^\\[object .+?Constructor\\]$/;\n\n/** Detect free variable `global` from Node.js. */\nvar freeGlobal = typeof global == 'object' && global && global.Object === Object && global;\n\n/** Detect free variable `self`. */\nvar freeSelf = typeof self == 'object' && self && self.Object === Object && self;\n\n/** Used as a reference to the global object. */\nvar root = freeGlobal || freeSelf || Function('return this')();\n\n/**\n * Gets the value at `key` of `object`.\n *\n * @private\n * @param {Object} [object] The object to query.\n * @param {string} key The key of the property to get.\n * @returns {*} Returns the property value.\n */\nfunction getValue(object, key) {\n  return object == null ? undefined : object[key];\n}\n\n/**\n * Checks if `value` is a host object in IE < 9.\n *\n * @private\n * @param {*} value The value to check.\n * @returns {boolean} Returns `true` if `value` is a host object, else `false`.\n */\nfunction isHostObject(value) {\n  // Many host objects are `Object` objects that can coerce to strings\n  // despite having improperly defined `toString` methods.\n  var result = false;\n  if (value != null && typeof value.toString != 'function') {\n    try {\n      result = !!(value + '');\n    } catch (e) {}\n  }\n  return result;\n}\n\n/** Used for built-in method references. */\nvar arrayProto = Array.prototype,\n    funcProto = Function.prototype,\n    objectProto = Object.prototype;\n\n/** Used to detect overreaching core-js shims. */\nvar coreJsData = root['__core-js_shared__'];\n\n/** Used to detect methods masquerading as native. */\nvar maskSrcKey = (function() {\n  var uid = /[^.]+$/.exec(coreJsData && coreJsData.keys && coreJsData.keys.IE_PROTO || '');\n  return uid ? ('Symbol(src)_1.' + uid) : '';\n}());\n\n/** Used to resolve the decompiled source of functions. */\nvar funcToString = funcProto.toString;\n\n/** Used to check objects for own properties. */\nvar hasOwnProperty = objectProto.hasOwnProperty;\n\n/**\n * Used to resolve the\n * [`toStringTag`](http://ecma-international.org/ecma-262/7.0/#sec-object.prototype.tostring)\n * of values.\n */\nvar objectToString = objectProto.toString;\n\n/** Used to detect if a method is native. */\nvar reIsNative = RegExp('^' +\n  funcToString.call(hasOwnProperty).replace(reRegExpChar, '\\\\$&')\n  .replace(/hasOwnProperty|(function).*?(?=\\\\\\()| for .+?(?=\\\\\\])/g, '$1.*?') + '$'\n);\n\n/** Built-in value references. */\nvar Symbol = root.Symbol,\n    splice = arrayProto.splice;\n\n/* Built-in method references that are verified to be native. */\nvar Map = getNative(root, 'Map'),\n    nativeCreate = getNative(Object, 'create');\n\n/** Used to convert symbols to primitives and strings. */\nvar symbolProto = Symbol ? Symbol.prototype : undefined,\n    symbolToString = symbolProto ? symbolProto.toString : undefined;\n\n/**\n * Creates a hash object.\n *\n * @private\n * @constructor\n * @param {Array} [entries] The key-value pairs to cache.\n */\nfunction Hash(entries) {\n  var index = -1,\n      length = entries ? entries.length : 0;\n\n  this.clear();\n  while (++index < length) {\n    var entry = entries[index];\n    this.set(entry[0], entry[1]);\n  }\n}\n\n/**\n * Removes all key-value entries from the hash.\n *\n * @private\n * @name clear\n * @memberOf Hash\n */\nfunction hashClear() {\n  this.__data__ = nativeCreate ? nativeCreate(null) : {};\n}\n\n/**\n * Removes `key` and its value from the hash.\n *\n * @private\n * @name delete\n * @memberOf Hash\n * @param {Object} hash The hash to modify.\n * @param {string} key The key of the value to remove.\n * @returns {boolean} Returns `true` if the entry was removed, else `false`.\n */\nfunction hashDelete(key) {\n  return this.has(key) && delete this.__data__[key];\n}\n\n/**\n * Gets the hash value for `key`.\n *\n * @private\n * @name get\n * @memberOf Hash\n * @param {string} key The key of the value to get.\n * @returns {*} Returns the entry value.\n */\nfunction hashGet(key) {\n  var data = this.__data__;\n  if (nativeCreate) {\n    var result = data[key];\n    return result === HASH_UNDEFINED ? undefined : result;\n  }\n  return hasOwnProperty.call(data, key) ? data[key] : undefined;\n}\n\n/**\n * Checks if a hash value for `key` exists.\n *\n * @private\n * @name has\n * @memberOf Hash\n * @param {string} key The key of the entry to check.\n * @returns {boolean} Returns `true` if an entry for `key` exists, else `false`.\n */\nfunction hashHas(key) {\n  var data = this.__data__;\n  return nativeCreate ? data[key] !== undefined : hasOwnProperty.call(data, key);\n}\n\n/**\n * Sets the hash `key` to `value`.\n *\n * @private\n * @name set\n * @memberOf Hash\n * @param {string} key The key of the value to set.\n * @param {*} value The value to set.\n * @returns {Object} Returns the hash instance.\n */\nfunction hashSet(key, value) {\n  var data = this.__data__;\n  data[key] = (nativeCreate && value === undefined) ? HASH_UNDEFINED : value;\n  return this;\n}\n\n// Add methods to `Hash`.\nHash.prototype.clear = hashClear;\nHash.prototype['delete'] = hashDelete;\nHash.prototype.get = hashGet;\nHash.prototype.has = hashHas;\nHash.prototype.set = hashSet;\n\n/**\n * Creates an list cache object.\n *\n * @private\n * @constructor\n * @param {Array} [entries] The key-value pairs to cache.\n */\nfunction ListCache(entries) {\n  var index = -1,\n      length = entries ? entries.length : 0;\n\n  this.clear();\n  while (++index < length) {\n    var entry = entries[index];\n    this.set(entry[0], entry[1]);\n  }\n}\n\n/**\n * Removes all key-value entries from the list cache.\n *\n * @private\n * @name clear\n * @memberOf ListCache\n */\nfunction listCacheClear() {\n  this.__data__ = [];\n}\n\n/**\n * Removes `key` and its value from the list cache.\n *\n * @private\n * @name delete\n * @memberOf ListCache\n * @param {string} key The key of the value to remove.\n * @returns {boolean} Returns `true` if the entry was removed, else `false`.\n */\nfunction listCacheDelete(key) {\n  var data = this.__data__,\n      index = assocIndexOf(data, key);\n\n  if (index < 0) {\n    return false;\n  }\n  var lastIndex = data.length - 1;\n  if (index == lastIndex) {\n    data.pop();\n  } else {\n    splice.call(data, index, 1);\n  }\n  return true;\n}\n\n/**\n * Gets the list cache value for `key`.\n *\n * @private\n * @name get\n * @memberOf ListCache\n * @param {string} key The key of the value to get.\n * @returns {*} Returns the entry value.\n */\nfunction listCacheGet(key) {\n  var data = this.__data__,\n      index = assocIndexOf(data, key);\n\n  return index < 0 ? undefined : data[index][1];\n}\n\n/**\n * Checks if a list cache value for `key` exists.\n *\n * @private\n * @name has\n * @memberOf ListCache\n * @param {string} key The key of the entry to check.\n * @returns {boolean} Returns `true` if an entry for `key` exists, else `false`.\n */\nfunction listCacheHas(key) {\n  return assocIndexOf(this.__data__, key) > -1;\n}\n\n/**\n * Sets the list cache `key` to `value`.\n *\n * @private\n * @name set\n * @memberOf ListCache\n * @param {string} key The key of the value to set.\n * @param {*} value The value to set.\n * @returns {Object} Returns the list cache instance.\n */\nfunction listCacheSet(key, value) {\n  var data = this.__data__,\n      index = assocIndexOf(data, key);\n\n  if (index < 0) {\n    data.push([key, value]);\n  } else {\n    data[index][1] = value;\n  }\n  return this;\n}\n\n// Add methods to `ListCache`.\nListCache.prototype.clear = listCacheClear;\nListCache.prototype['delete'] = listCacheDelete;\nListCache.prototype.get = listCacheGet;\nListCache.prototype.has = listCacheHas;\nListCache.prototype.set = listCacheSet;\n\n/**\n * Creates a map cache object to store key-value pairs.\n *\n * @private\n * @constructor\n * @param {Array} [entries] The key-value pairs to cache.\n */\nfunction MapCache(entries) {\n  var index = -1,\n      length = entries ? entries.length : 0;\n\n  this.clear();\n  while (++index < length) {\n    var entry = entries[index];\n    this.set(entry[0], entry[1]);\n  }\n}\n\n/**\n * Removes all key-value entries from the map.\n *\n * @private\n * @name clear\n * @memberOf MapCache\n */\nfunction mapCacheClear() {\n  this.__data__ = {\n    'hash': new Hash,\n    'map': new (Map || ListCache),\n    'string': new Hash\n  };\n}\n\n/**\n * Removes `key` and its value from the map.\n *\n * @private\n * @name delete\n * @memberOf MapCache\n * @param {string} key The key of the value to remove.\n * @returns {boolean} Returns `true` if the entry was removed, else `false`.\n */\nfunction mapCacheDelete(key) {\n  return getMapData(this, key)['delete'](key);\n}\n\n/**\n * Gets the map value for `key`.\n *\n * @private\n * @name get\n * @memberOf MapCache\n * @param {string} key The key of the value to get.\n * @returns {*} Returns the entry value.\n */\nfunction mapCacheGet(key) {\n  return getMapData(this, key).get(key);\n}\n\n/**\n * Checks if a map value for `key` exists.\n *\n * @private\n * @name has\n * @memberOf MapCache\n * @param {string} key The key of the entry to check.\n * @returns {boolean} Returns `true` if an entry for `key` exists, else `false`.\n */\nfunction mapCacheHas(key) {\n  return getMapData(this, key).has(key);\n}\n\n/**\n * Sets the map `key` to `value`.\n *\n * @private\n * @name set\n * @memberOf MapCache\n * @param {string} key The key of the value to set.\n * @param {*} value The value to set.\n * @returns {Object} Returns the map cache instance.\n */\nfunction mapCacheSet(key, value) {\n  getMapData(this, key).set(key, value);\n  return this;\n}\n\n// Add methods to `MapCache`.\nMapCache.prototype.clear = mapCacheClear;\nMapCache.prototype['delete'] = mapCacheDelete;\nMapCache.prototype.get = mapCacheGet;\nMapCache.prototype.has = mapCacheHas;\nMapCache.prototype.set = mapCacheSet;\n\n/**\n * Gets the index at which the `key` is found in `array` of key-value pairs.\n *\n * @private\n * @param {Array} array The array to inspect.\n * @param {*} key The key to search for.\n * @returns {number} Returns the index of the matched value, else `-1`.\n */\nfunction assocIndexOf(array, key) {\n  var length = array.length;\n  while (length--) {\n    if (eq(array[length][0], key)) {\n      return length;\n    }\n  }\n  return -1;\n}\n\n/**\n * The base implementation of `_.get` without support for default values.\n *\n * @private\n * @param {Object} object The object to query.\n * @param {Array|string} path The path of the property to get.\n * @returns {*} Returns the resolved value.\n */\nfunction baseGet(object, path) {\n  path = isKey(path, object) ? [path] : castPath(path);\n\n  var index = 0,\n      length = path.length;\n\n  while (object != null && index < length) {\n    object = object[toKey(path[index++])];\n  }\n  return (index && index == length) ? object : undefined;\n}\n\n/**\n * The base implementation of `_.isNative` without bad shim checks.\n *\n * @private\n * @param {*} value The value to check.\n * @returns {boolean} Returns `true` if `value` is a native function,\n *  else `false`.\n */\nfunction baseIsNative(value) {\n  if (!isObject(value) || isMasked(value)) {\n    return false;\n  }\n  var pattern = (isFunction(value) || isHostObject(value)) ? reIsNative : reIsHostCtor;\n  return pattern.test(toSource(value));\n}\n\n/**\n * The base implementation of `_.toString` which doesn't convert nullish\n * values to empty strings.\n *\n * @private\n * @param {*} value The value to process.\n * @returns {string} Returns the string.\n */\nfunction baseToString(value) {\n  // Exit early for strings to avoid a performance hit in some environments.\n  if (typeof value == 'string') {\n    return value;\n  }\n  if (isSymbol(value)) {\n    return symbolToString ? symbolToString.call(value) : '';\n  }\n  var result = (value + '');\n  return (result == '0' && (1 / value) == -INFINITY) ? '-0' : result;\n}\n\n/**\n * Casts `value` to a path array if it's not one.\n *\n * @private\n * @param {*} value The value to inspect.\n * @returns {Array} Returns the cast property path array.\n */\nfunction castPath(value) {\n  return isArray(value) ? value : stringToPath(value);\n}\n\n/**\n * Gets the data for `map`.\n *\n * @private\n * @param {Object} map The map to query.\n * @param {string} key The reference key.\n * @returns {*} Returns the map data.\n */\nfunction getMapData(map, key) {\n  var data = map.__data__;\n  return isKeyable(key)\n    ? data[typeof key == 'string' ? 'string' : 'hash']\n    : data.map;\n}\n\n/**\n * Gets the native function at `key` of `object`.\n *\n * @private\n * @param {Object} object The object to query.\n * @param {string} key The key of the method to get.\n * @returns {*} Returns the function if it's native, else `undefined`.\n */\nfunction getNative(object, key) {\n  var value = getValue(object, key);\n  return baseIsNative(value) ? value : undefined;\n}\n\n/**\n * Checks if `value` is a property name and not a property path.\n *\n * @private\n * @param {*} value The value to check.\n * @param {Object} [object] The object to query keys on.\n * @returns {boolean} Returns `true` if `value` is a property name, else `false`.\n */\nfunction isKey(value, object) {\n  if (isArray(value)) {\n    return false;\n  }\n  var type = typeof value;\n  if (type == 'number' || type == 'symbol' || type == 'boolean' ||\n      value == null || isSymbol(value)) {\n    return true;\n  }\n  return reIsPlainProp.test(value) || !reIsDeepProp.test(value) ||\n    (object != null && value in Object(object));\n}\n\n/**\n * Checks if `value` is suitable for use as unique object key.\n *\n * @private\n * @param {*} value The value to check.\n * @returns {boolean} Returns `true` if `value` is suitable, else `false`.\n */\nfunction isKeyable(value) {\n  var type = typeof value;\n  return (type == 'string' || type == 'number' || type == 'symbol' || type == 'boolean')\n    ? (value !== '__proto__')\n    : (value === null);\n}\n\n/**\n * Checks if `func` has its source masked.\n *\n * @private\n * @param {Function} func The function to check.\n * @returns {boolean} Returns `true` if `func` is masked, else `false`.\n */\nfunction isMasked(func) {\n  return !!maskSrcKey && (maskSrcKey in func);\n}\n\n/**\n * Converts `string` to a property path array.\n *\n * @private\n * @param {string} string The string to convert.\n * @returns {Array} Returns the property path array.\n */\nvar stringToPath = memoize(function(string) {\n  string = toString(string);\n\n  var result = [];\n  if (reLeadingDot.test(string)) {\n    result.push('');\n  }\n  string.replace(rePropName, function(match, number, quote, string) {\n    result.push(quote ? string.replace(reEscapeChar, '$1') : (number || match));\n  });\n  return result;\n});\n\n/**\n * Converts `value` to a string key if it's not a string or symbol.\n *\n * @private\n * @param {*} value The value to inspect.\n * @returns {string|symbol} Returns the key.\n */\nfunction toKey(value) {\n  if (typeof value == 'string' || isSymbol(value)) {\n    return value;\n  }\n  var result = (value + '');\n  return (result == '0' && (1 / value) == -INFINITY) ? '-0' : result;\n}\n\n/**\n * Converts `func` to its source code.\n *\n * @private\n * @param {Function} func The function to process.\n * @returns {string} Returns the source code.\n */\nfunction toSource(func) {\n  if (func != null) {\n    try {\n      return funcToString.call(func);\n    } catch (e) {}\n    try {\n      return (func + '');\n    } catch (e) {}\n  }\n  return '';\n}\n\n/**\n * Creates a function that memoizes the result of `func`. If `resolver` is\n * provided, it determines the cache key for storing the result based on the\n * arguments provided to the memoized function. By default, the first argument\n * provided to the memoized function is used as the map cache key. The `func`\n * is invoked with the `this` binding of the memoized function.\n *\n * **Note:** The cache is exposed as the `cache` property on the memoized\n * function. Its creation may be customized by replacing the `_.memoize.Cache`\n * constructor with one whose instances implement the\n * [`Map`](http://ecma-international.org/ecma-262/7.0/#sec-properties-of-the-map-prototype-object)\n * method interface of `delete`, `get`, `has`, and `set`.\n *\n * @static\n * @memberOf _\n * @since 0.1.0\n * @category Function\n * @param {Function} func The function to have its output memoized.\n * @param {Function} [resolver] The function to resolve the cache key.\n * @returns {Function} Returns the new memoized function.\n * @example\n *\n * var object = { 'a': 1, 'b': 2 };\n * var other = { 'c': 3, 'd': 4 };\n *\n * var values = _.memoize(_.values);\n * values(object);\n * // => [1, 2]\n *\n * values(other);\n * // => [3, 4]\n *\n * object.a = 2;\n * values(object);\n * // => [1, 2]\n *\n * // Modify the result cache.\n * values.cache.set(object, ['a', 'b']);\n * values(object);\n * // => ['a', 'b']\n *\n * // Replace `_.memoize.Cache`.\n * _.memoize.Cache = WeakMap;\n */\nfunction memoize(func, resolver) {\n  if (typeof func != 'function' || (resolver && typeof resolver != 'function')) {\n    throw new TypeError(FUNC_ERROR_TEXT);\n  }\n  var memoized = function() {\n    var args = arguments,\n        key = resolver ? resolver.apply(this, args) : args[0],\n        cache = memoized.cache;\n\n    if (cache.has(key)) {\n      return cache.get(key);\n    }\n    var result = func.apply(this, args);\n    memoized.cache = cache.set(key, result);\n    return result;\n  };\n  memoized.cache = new (memoize.Cache || MapCache);\n  return memoized;\n}\n\n// Assign cache to `_.memoize`.\nmemoize.Cache = MapCache;\n\n/**\n * Performs a\n * [`SameValueZero`](http://ecma-international.org/ecma-262/7.0/#sec-samevaluezero)\n * comparison between two values to determine if they are equivalent.\n *\n * @static\n * @memberOf _\n * @since 4.0.0\n * @category Lang\n * @param {*} value The value to compare.\n * @param {*} other The other value to compare.\n * @returns {boolean} Returns `true` if the values are equivalent, else `false`.\n * @example\n *\n * var object = { 'a': 1 };\n * var other = { 'a': 1 };\n *\n * _.eq(object, object);\n * // => true\n *\n * _.eq(object, other);\n * // => false\n *\n * _.eq('a', 'a');\n * // => true\n *\n * _.eq('a', Object('a'));\n * // => false\n *\n * _.eq(NaN, NaN);\n * // => true\n */\nfunction eq(value, other) {\n  return value === other || (value !== value && other !== other);\n}\n\n/**\n * Checks if `value` is classified as an `Array` object.\n *\n * @static\n * @memberOf _\n * @since 0.1.0\n * @category Lang\n * @param {*} value The value to check.\n * @returns {boolean} Returns `true` if `value` is an array, else `false`.\n * @example\n *\n * _.isArray([1, 2, 3]);\n * // => true\n *\n * _.isArray(document.body.children);\n * // => false\n *\n * _.isArray('abc');\n * // => false\n *\n * _.isArray(_.noop);\n * // => false\n */\nvar isArray = Array.isArray;\n\n/**\n * Checks if `value` is classified as a `Function` object.\n *\n * @static\n * @memberOf _\n * @since 0.1.0\n * @category Lang\n * @param {*} value The value to check.\n * @returns {boolean} Returns `true` if `value` is a function, else `false`.\n * @example\n *\n * _.isFunction(_);\n * // => true\n *\n * _.isFunction(/abc/);\n * // => false\n */\nfunction isFunction(value) {\n  // The use of `Object#toString` avoids issues with the `typeof` operator\n  // in Safari 8-9 which returns 'object' for typed array and other constructors.\n  var tag = isObject(value) ? objectToString.call(value) : '';\n  return tag == funcTag || tag == genTag;\n}\n\n/**\n * Checks if `value` is the\n * [language type](http://www.ecma-international.org/ecma-262/7.0/#sec-ecmascript-language-types)\n * of `Object`. (e.g. arrays, functions, objects, regexes, `new Number(0)`, and `new String('')`)\n *\n * @static\n * @memberOf _\n * @since 0.1.0\n * @category Lang\n * @param {*} value The value to check.\n * @returns {boolean} Returns `true` if `value` is an object, else `false`.\n * @example\n *\n * _.isObject({});\n * // => true\n *\n * _.isObject([1, 2, 3]);\n * // => true\n *\n * _.isObject(_.noop);\n * // => true\n *\n * _.isObject(null);\n * // => false\n */\nfunction isObject(value) {\n  var type = typeof value;\n  return !!value && (type == 'object' || type == 'function');\n}\n\n/**\n * Checks if `value` is object-like. A value is object-like if it's not `null`\n * and has a `typeof` result of \"object\".\n *\n * @static\n * @memberOf _\n * @since 4.0.0\n * @category Lang\n * @param {*} value The value to check.\n * @returns {boolean} Returns `true` if `value` is object-like, else `false`.\n * @example\n *\n * _.isObjectLike({});\n * // => true\n *\n * _.isObjectLike([1, 2, 3]);\n * // => true\n *\n * _.isObjectLike(_.noop);\n * // => false\n *\n * _.isObjectLike(null);\n * // => false\n */\nfunction isObjectLike(value) {\n  return !!value && typeof value == 'object';\n}\n\n/**\n * Checks if `value` is classified as a `Symbol` primitive or object.\n *\n * @static\n * @memberOf _\n * @since 4.0.0\n * @category Lang\n * @param {*} value The value to check.\n * @returns {boolean} Returns `true` if `value` is a symbol, else `false`.\n * @example\n *\n * _.isSymbol(Symbol.iterator);\n * // => true\n *\n * _.isSymbol('abc');\n * // => false\n */\nfunction isSymbol(value) {\n  return typeof value == 'symbol' ||\n    (isObjectLike(value) && objectToString.call(value) == symbolTag);\n}\n\n/**\n * Converts `value` to a string. An empty string is returned for `null`\n * and `undefined` values. The sign of `-0` is preserved.\n *\n * @static\n * @memberOf _\n * @since 4.0.0\n * @category Lang\n * @param {*} value The value to process.\n * @returns {string} Returns the string.\n * @example\n *\n * _.toString(null);\n * // => ''\n *\n * _.toString(-0);\n * // => '-0'\n *\n * _.toString([1, 2, 3]);\n * // => '1,2,3'\n */\nfunction toString(value) {\n  return value == null ? '' : baseToString(value);\n}\n\n/**\n * Gets the value at `path` of `object`. If the resolved value is\n * `undefined`, the `defaultValue` is returned in its place.\n *\n * @static\n * @memberOf _\n * @since 3.7.0\n * @category Object\n * @param {Object} object The object to query.\n * @param {Array|string} path The path of the property to get.\n * @param {*} [defaultValue] The value returned for `undefined` resolved values.\n * @returns {*} Returns the resolved value.\n * @example\n *\n * var object = { 'a': [{ 'b': { 'c': 3 } }] };\n *\n * _.get(object, 'a[0].b.c');\n * // => 3\n *\n * _.get(object, ['a', '0', 'b', 'c']);\n * // => 3\n *\n * _.get(object, 'a.b.c', 'default');\n * // => 'default'\n */\nfunction get(object, path, defaultValue) {\n  var result = object == null ? undefined : baseGet(object, path);\n  return result === undefined ? defaultValue : result;\n}\n\nmodule.exports = get;\n\n/* WEBPACK VAR INJECTION */}.call(this, __webpack_require__(\"c8ba\")))\n\n/***/ }),\n\n/***/ \"c8ba\":\n/***/ (function(module, exports) {\n\nvar g;\n\n// This works in non-strict mode\ng = (function() {\n\treturn this;\n})();\n\ntry {\n\t// This works if eval is allowed (see CSP)\n\tg = g || new Function(\"return this\")();\n} catch (e) {\n\t// This works if the window reference is available\n\tif (typeof window === \"object\") g = window;\n}\n\n// g can still be undefined, but nothing to do about it...\n// We return undefined, instead of nothing here, so it's\n// easier to handle this case. if(!global) { ...}\n\nmodule.exports = g;\n\n\n/***/ }),\n\n/***/ \"c975\":\n/***/ (function(module, exports, __webpack_require__) {\n\n\"use strict\";\n\nvar $ = __webpack_require__(\"23e7\");\nvar $indexOf = __webpack_require__(\"4d64\").indexOf;\nvar arrayMethodIsStrict = __webpack_require__(\"a640\");\nvar arrayMethodUsesToLength = __webpack_require__(\"ae40\");\n\nvar nativeIndexOf = [].indexOf;\n\nvar NEGATIVE_ZERO = !!nativeIndexOf && 1 / [1].indexOf(1, -0) < 0;\nvar STRICT_METHOD = arrayMethodIsStrict('indexOf');\nvar USES_TO_LENGTH = arrayMethodUsesToLength('indexOf', { ACCESSORS: true, 1: 0 });\n\n// `Array.prototype.indexOf` method\n// https://tc39.github.io/ecma262/#sec-array.prototype.indexof\n$({ target: 'Array', proto: true, forced: NEGATIVE_ZERO || !STRICT_METHOD || !USES_TO_LENGTH }, {\n  indexOf: function indexOf(searchElement /* , fromIndex = 0 */) {\n    return NEGATIVE_ZERO\n      // convert -0 to +0\n      ? nativeIndexOf.apply(this, arguments) || 0\n      : $indexOf(this, searchElement, arguments.length > 1 ? arguments[1] : undefined);\n  }\n});\n\n\n/***/ }),\n\n/***/ \"ca84\":\n/***/ (function(module, exports, __webpack_require__) {\n\nvar has = __webpack_require__(\"5135\");\nvar toIndexedObject = __webpack_require__(\"fc6a\");\nvar indexOf = __webpack_require__(\"4d64\").indexOf;\nvar hiddenKeys = __webpack_require__(\"d012\");\n\nmodule.exports = function (object, names) {\n  var O = toIndexedObject(object);\n  var i = 0;\n  var result = [];\n  var key;\n  for (key in O) !has(hiddenKeys, key) && has(O, key) && result.push(key);\n  // Don't enum bug & hidden keys\n  while (names.length > i) if (has(O, key = names[i++])) {\n    ~indexOf(result, key) || result.push(key);\n  }\n  return result;\n};\n\n\n/***/ }),\n\n/***/ \"cc12\":\n/***/ (function(module, exports, __webpack_require__) {\n\nvar global = __webpack_require__(\"da84\");\nvar isObject = __webpack_require__(\"861d\");\n\nvar document = global.document;\n// typeof document.createElement is 'object' in old IE\nvar EXISTS = isObject(document) && isObject(document.createElement);\n\nmodule.exports = function (it) {\n  return EXISTS ? document.createElement(it) : {};\n};\n\n\n/***/ }),\n\n/***/ \"cca6\":\n/***/ (function(module, exports, __webpack_require__) {\n\nvar $ = __webpack_require__(\"23e7\");\nvar assign = __webpack_require__(\"60da\");\n\n// `Object.assign` method\n// https://tc39.github.io/ecma262/#sec-object.assign\n$({ target: 'Object', stat: true, forced: Object.assign !== assign }, {\n  assign: assign\n});\n\n\n/***/ }),\n\n/***/ \"ce4e\":\n/***/ (function(module, exports, __webpack_require__) {\n\nvar global = __webpack_require__(\"da84\");\nvar createNonEnumerableProperty = __webpack_require__(\"9112\");\n\nmodule.exports = function (key, value) {\n  try {\n    createNonEnumerableProperty(global, key, value);\n  } catch (error) {\n    global[key] = value;\n  } return value;\n};\n\n\n/***/ }),\n\n/***/ \"d012\":\n/***/ (function(module, exports) {\n\nmodule.exports = {};\n\n\n/***/ }),\n\n/***/ \"d039\":\n/***/ (function(module, exports) {\n\nmodule.exports = function (exec) {\n  try {\n    return !!exec();\n  } catch (error) {\n    return true;\n  }\n};\n\n\n/***/ }),\n\n/***/ \"d066\":\n/***/ (function(module, exports, __webpack_require__) {\n\nvar path = __webpack_require__(\"428f\");\nvar global = __webpack_require__(\"da84\");\n\nvar aFunction = function (variable) {\n  return typeof variable == 'function' ? variable : undefined;\n};\n\nmodule.exports = function (namespace, method) {\n  return arguments.length < 2 ? aFunction(path[namespace]) || aFunction(global[namespace])\n    : path[namespace] && path[namespace][method] || global[namespace] && global[namespace][method];\n};\n\n\n/***/ }),\n\n/***/ \"d1e7\":\n/***/ (function(module, exports, __webpack_require__) {\n\n\"use strict\";\n\nvar nativePropertyIsEnumerable = {}.propertyIsEnumerable;\nvar getOwnPropertyDescriptor = Object.getOwnPropertyDescriptor;\n\n// Nashorn ~ JDK8 bug\nvar NASHORN_BUG = getOwnPropertyDescriptor && !nativePropertyIsEnumerable.call({ 1: 2 }, 1);\n\n// `Object.prototype.propertyIsEnumerable` method implementation\n// https://tc39.github.io/ecma262/#sec-object.prototype.propertyisenumerable\nexports.f = NASHORN_BUG ? function propertyIsEnumerable(V) {\n  var descriptor = getOwnPropertyDescriptor(this, V);\n  return !!descriptor && descriptor.enumerable;\n} : nativePropertyIsEnumerable;\n\n\n/***/ }),\n\n/***/ \"d28b\":\n/***/ (function(module, exports, __webpack_require__) {\n\nvar defineWellKnownSymbol = __webpack_require__(\"746f\");\n\n// `Symbol.iterator` well-known symbol\n// https://tc39.github.io/ecma262/#sec-symbol.iterator\ndefineWellKnownSymbol('iterator');\n\n\n/***/ }),\n\n/***/ \"d2bb\":\n/***/ (function(module, exports, __webpack_require__) {\n\nvar anObject = __webpack_require__(\"825a\");\nvar aPossiblePrototype = __webpack_require__(\"3bbe\");\n\n// `Object.setPrototypeOf` method\n// https://tc39.github.io/ecma262/#sec-object.setprototypeof\n// Works with __proto__ only. Old v8 can't work with null proto objects.\n/* eslint-disable no-proto */\nmodule.exports = Object.setPrototypeOf || ('__proto__' in {} ? function () {\n  var CORRECT_SETTER = false;\n  var test = {};\n  var setter;\n  try {\n    setter = Object.getOwnPropertyDescriptor(Object.prototype, '__proto__').set;\n    setter.call(test, []);\n    CORRECT_SETTER = test instanceof Array;\n  } catch (error) { /* empty */ }\n  return function setPrototypeOf(O, proto) {\n    anObject(O);\n    aPossiblePrototype(proto);\n    if (CORRECT_SETTER) setter.call(O, proto);\n    else O.__proto__ = proto;\n    return O;\n  };\n}() : undefined);\n\n\n/***/ }),\n\n/***/ \"d3b7\":\n/***/ (function(module, exports, __webpack_require__) {\n\nvar TO_STRING_TAG_SUPPORT = __webpack_require__(\"00ee\");\nvar redefine = __webpack_require__(\"6eeb\");\nvar toString = __webpack_require__(\"b041\");\n\n// `Object.prototype.toString` method\n// https://tc39.github.io/ecma262/#sec-object.prototype.tostring\nif (!TO_STRING_TAG_SUPPORT) {\n  redefine(Object.prototype, 'toString', toString, { unsafe: true });\n}\n\n\n/***/ }),\n\n/***/ \"d44e\":\n/***/ (function(module, exports, __webpack_require__) {\n\nvar defineProperty = __webpack_require__(\"9bf2\").f;\nvar has = __webpack_require__(\"5135\");\nvar wellKnownSymbol = __webpack_require__(\"b622\");\n\nvar TO_STRING_TAG = wellKnownSymbol('toStringTag');\n\nmodule.exports = function (it, TAG, STATIC) {\n  if (it && !has(it = STATIC ? it : it.prototype, TO_STRING_TAG)) {\n    defineProperty(it, TO_STRING_TAG, { configurable: true, value: TAG });\n  }\n};\n\n\n/***/ }),\n\n/***/ \"d58f\":\n/***/ (function(module, exports, __webpack_require__) {\n\nvar aFunction = __webpack_require__(\"1c0b\");\nvar toObject = __webpack_require__(\"7b0b\");\nvar IndexedObject = __webpack_require__(\"44ad\");\nvar toLength = __webpack_require__(\"50c4\");\n\n// `Array.prototype.{ reduce, reduceRight }` methods implementation\nvar createMethod = function (IS_RIGHT) {\n  return function (that, callbackfn, argumentsLength, memo) {\n    aFunction(callbackfn);\n    var O = toObject(that);\n    var self = IndexedObject(O);\n    var length = toLength(O.length);\n    var index = IS_RIGHT ? length - 1 : 0;\n    var i = IS_RIGHT ? -1 : 1;\n    if (argumentsLength < 2) while (true) {\n      if (index in self) {\n        memo = self[index];\n        index += i;\n        break;\n      }\n      index += i;\n      if (IS_RIGHT ? index < 0 : length <= index) {\n        throw TypeError('Reduce of empty array with no initial value');\n      }\n    }\n    for (;IS_RIGHT ? index >= 0 : length > index; index += i) if (index in self) {\n      memo = callbackfn(memo, self[index], index, O);\n    }\n    return memo;\n  };\n};\n\nmodule.exports = {\n  // `Array.prototype.reduce` method\n  // https://tc39.github.io/ecma262/#sec-array.prototype.reduce\n  left: createMethod(false),\n  // `Array.prototype.reduceRight` method\n  // https://tc39.github.io/ecma262/#sec-array.prototype.reduceright\n  right: createMethod(true)\n};\n\n\n/***/ }),\n\n/***/ \"d784\":\n/***/ (function(module, exports, __webpack_require__) {\n\n\"use strict\";\n\n// TODO: Remove from `core-js@4` since it's moved to entry points\n__webpack_require__(\"ac1f\");\nvar redefine = __webpack_require__(\"6eeb\");\nvar fails = __webpack_require__(\"d039\");\nvar wellKnownSymbol = __webpack_require__(\"b622\");\nvar regexpExec = __webpack_require__(\"9263\");\nvar createNonEnumerableProperty = __webpack_require__(\"9112\");\n\nvar SPECIES = wellKnownSymbol('species');\n\nvar REPLACE_SUPPORTS_NAMED_GROUPS = !fails(function () {\n  // #replace needs built-in support for named groups.\n  // #match works fine because it just return the exec results, even if it has\n  // a \"grops\" property.\n  var re = /./;\n  re.exec = function () {\n    var result = [];\n    result.groups = { a: '7' };\n    return result;\n  };\n  return ''.replace(re, '$<a>') !== '7';\n});\n\n// IE <= 11 replaces $0 with the whole match, as if it was $&\n// https://stackoverflow.com/questions/6024666/getting-ie-to-replace-a-regex-with-the-literal-string-0\nvar REPLACE_KEEPS_$0 = (function () {\n  return 'a'.replace(/./, '$0') === '$0';\n})();\n\nvar REPLACE = wellKnownSymbol('replace');\n// Safari <= 13.0.3(?) substitutes nth capture where n>m with an empty string\nvar REGEXP_REPLACE_SUBSTITUTES_UNDEFINED_CAPTURE = (function () {\n  if (/./[REPLACE]) {\n    return /./[REPLACE]('a', '$0') === '';\n  }\n  return false;\n})();\n\n// Chrome 51 has a buggy \"split\" implementation when RegExp#exec !== nativeExec\n// Weex JS has frozen built-in prototypes, so use try / catch wrapper\nvar SPLIT_WORKS_WITH_OVERWRITTEN_EXEC = !fails(function () {\n  var re = /(?:)/;\n  var originalExec = re.exec;\n  re.exec = function () { return originalExec.apply(this, arguments); };\n  var result = 'ab'.split(re);\n  return result.length !== 2 || result[0] !== 'a' || result[1] !== 'b';\n});\n\nmodule.exports = function (KEY, length, exec, sham) {\n  var SYMBOL = wellKnownSymbol(KEY);\n\n  var DELEGATES_TO_SYMBOL = !fails(function () {\n    // String methods call symbol-named RegEp methods\n    var O = {};\n    O[SYMBOL] = function () { return 7; };\n    return ''[KEY](O) != 7;\n  });\n\n  var DELEGATES_TO_EXEC = DELEGATES_TO_SYMBOL && !fails(function () {\n    // Symbol-named RegExp methods call .exec\n    var execCalled = false;\n    var re = /a/;\n\n    if (KEY === 'split') {\n      // We can't use real regex here since it causes deoptimization\n      // and serious performance degradation in V8\n      // https://github.com/zloirock/core-js/issues/306\n      re = {};\n      // RegExp[@@split] doesn't call the regex's exec method, but first creates\n      // a new one. We need to return the patched regex when creating the new one.\n      re.constructor = {};\n      re.constructor[SPECIES] = function () { return re; };\n      re.flags = '';\n      re[SYMBOL] = /./[SYMBOL];\n    }\n\n    re.exec = function () { execCalled = true; return null; };\n\n    re[SYMBOL]('');\n    return !execCalled;\n  });\n\n  if (\n    !DELEGATES_TO_SYMBOL ||\n    !DELEGATES_TO_EXEC ||\n    (KEY === 'replace' && !(\n      REPLACE_SUPPORTS_NAMED_GROUPS &&\n      REPLACE_KEEPS_$0 &&\n      !REGEXP_REPLACE_SUBSTITUTES_UNDEFINED_CAPTURE\n    )) ||\n    (KEY === 'split' && !SPLIT_WORKS_WITH_OVERWRITTEN_EXEC)\n  ) {\n    var nativeRegExpMethod = /./[SYMBOL];\n    var methods = exec(SYMBOL, ''[KEY], function (nativeMethod, regexp, str, arg2, forceStringMethod) {\n      if (regexp.exec === regexpExec) {\n        if (DELEGATES_TO_SYMBOL && !forceStringMethod) {\n          // The native String method already delegates to @@method (this\n          // polyfilled function), leasing to infinite recursion.\n          // We avoid it by directly calling the native @@method method.\n          return { done: true, value: nativeRegExpMethod.call(regexp, str, arg2) };\n        }\n        return { done: true, value: nativeMethod.call(str, regexp, arg2) };\n      }\n      return { done: false };\n    }, {\n      REPLACE_KEEPS_$0: REPLACE_KEEPS_$0,\n      REGEXP_REPLACE_SUBSTITUTES_UNDEFINED_CAPTURE: REGEXP_REPLACE_SUBSTITUTES_UNDEFINED_CAPTURE\n    });\n    var stringMethod = methods[0];\n    var regexMethod = methods[1];\n\n    redefine(String.prototype, KEY, stringMethod);\n    redefine(RegExp.prototype, SYMBOL, length == 2\n      // 21.2.5.8 RegExp.prototype[@@replace](string, replaceValue)\n      // 21.2.5.11 RegExp.prototype[@@split](string, limit)\n      ? function (string, arg) { return regexMethod.call(string, this, arg); }\n      // 21.2.5.6 RegExp.prototype[@@match](string)\n      // 21.2.5.9 RegExp.prototype[@@search](string)\n      : function (string) { return regexMethod.call(string, this); }\n    );\n  }\n\n  if (sham) createNonEnumerableProperty(RegExp.prototype[SYMBOL], 'sham', true);\n};\n\n\n/***/ }),\n\n/***/ \"d81d\":\n/***/ (function(module, exports, __webpack_require__) {\n\n\"use strict\";\n\nvar $ = __webpack_require__(\"23e7\");\nvar $map = __webpack_require__(\"b727\").map;\nvar arrayMethodHasSpeciesSupport = __webpack_require__(\"1dde\");\nvar arrayMethodUsesToLength = __webpack_require__(\"ae40\");\n\nvar HAS_SPECIES_SUPPORT = arrayMethodHasSpeciesSupport('map');\n// FF49- issue\nvar USES_TO_LENGTH = arrayMethodUsesToLength('map');\n\n// `Array.prototype.map` method\n// https://tc39.github.io/ecma262/#sec-array.prototype.map\n// with adding support of @@species\n$({ target: 'Array', proto: true, forced: !HAS_SPECIES_SUPPORT || !USES_TO_LENGTH }, {\n  map: function map(callbackfn /* , thisArg */) {\n    return $map(this, callbackfn, arguments.length > 1 ? 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'Arguments' : result;\n};\n\n\n/***/ }),\n\n/***/ \"f6fd\":\n/***/ (function(module, exports) {\n\n// document.currentScript polyfill by Adam Miller\n\n// MIT license\n\n(function(document){\n  var currentScript = \"currentScript\",\n      scripts = document.getElementsByTagName('script'); // Live NodeList collection\n\n  // If browser needs currentScript polyfill, add get currentScript() to the document object\n  if (!(currentScript in document)) {\n    Object.defineProperty(document, currentScript, {\n      get: function(){\n\n        // IE 6-10 supports script readyState\n        // IE 10+ support stack trace\n        try { throw new Error(); }\n        catch (err) {\n\n          // Find the second match for the \"at\" string to get file src url from stack.\n          // Specifically works with the format of stack traces in IE.\n          var i, res = ((/.*at [^\\(]*\\((.*):.+:.+\\)$/ig).exec(err.stack) || [false])[1];\n\n          // For all scripts on the page, if src matches or if ready state is interactive, return the script tag\n          for(i in scripts){\n            if(scripts[i].src == res || scripts[i].readyState == \"interactive\"){\n              return scripts[i];\n            }\n          }\n\n          // If no match, return null\n          return null;\n        }\n      }\n    });\n  }\n})(document);\n\n\n/***/ }),\n\n/***/ \"f772\":\n/***/ (function(module, exports, __webpack_require__) {\n\nvar shared = __webpack_require__(\"5692\");\nvar uid = __webpack_require__(\"90e3\");\n\nvar keys = shared('keys');\n\nmodule.exports = function (key) {\n  return keys[key] || (keys[key] = uid(key));\n};\n\n\n/***/ }),\n\n/***/ \"f7fe\":\n/***/ (function(module, exports, __webpack_require__) {\n\n/* WEBPACK VAR INJECTION */(function(global) {/**\n * lodash (Custom Build) <https://lodash.com/>\n * Build: `lodash modularize exports=\"npm\" -o ./`\n * Copyright jQuery Foundation and other contributors <https://jquery.org/>\n * Released under MIT license <https://lodash.com/license>\n * Based on Underscore.js 1.8.3 <http://underscorejs.org/LICENSE>\n * Copyright Jeremy Ashkenas, DocumentCloud and Investigative Reporters & Editors\n */\n\n/** Used as the `TypeError` message for \"Functions\" methods. */\nvar FUNC_ERROR_TEXT = 'Expected a function';\n\n/** Used as references for various `Number` constants. */\nvar NAN = 0 / 0;\n\n/** `Object#toString` result references. */\nvar symbolTag = '[object Symbol]';\n\n/** Used to match leading and trailing whitespace. */\nvar reTrim = /^\\s+|\\s+$/g;\n\n/** Used to detect bad signed hexadecimal string values. */\nvar reIsBadHex = /^[-+]0x[0-9a-f]+$/i;\n\n/** Used to detect binary string values. */\nvar reIsBinary = /^0b[01]+$/i;\n\n/** Used to detect octal string values. */\nvar reIsOctal = /^0o[0-7]+$/i;\n\n/** Built-in method references without a dependency on `root`. */\nvar freeParseInt = parseInt;\n\n/** Detect free variable `global` from Node.js. */\nvar freeGlobal = typeof global == 'object' && global && global.Object === Object && global;\n\n/** Detect free variable `self`. */\nvar freeSelf = typeof self == 'object' && self && self.Object === Object && self;\n\n/** Used as a reference to the global object. */\nvar root = freeGlobal || freeSelf || Function('return this')();\n\n/** Used for built-in method references. */\nvar objectProto = Object.prototype;\n\n/**\n * Used to resolve the\n * [`toStringTag`](http://ecma-international.org/ecma-262/7.0/#sec-object.prototype.tostring)\n * of values.\n */\nvar objectToString = objectProto.toString;\n\n/* Built-in method references for those with the same name as other `lodash` methods. */\nvar nativeMax = Math.max,\n    nativeMin = Math.min;\n\n/**\n * Gets the timestamp of the number of milliseconds that have elapsed since\n * the Unix epoch (1 January 1970 00:00:00 UTC).\n *\n * @static\n * @memberOf _\n * @since 2.4.0\n * @category Date\n * @returns {number} Returns the timestamp.\n * @example\n *\n * _.defer(function(stamp) {\n *   console.log(_.now() - stamp);\n * }, _.now());\n * // => Logs the number of milliseconds it took for the deferred invocation.\n */\nvar now = function() {\n  return root.Date.now();\n};\n\n/**\n * Creates a debounced function that delays invoking `func` until after `wait`\n * milliseconds have elapsed since the last time the debounced function was\n * invoked. The debounced function comes with a `cancel` method to cancel\n * delayed `func` invocations and a `flush` method to immediately invoke them.\n * Provide `options` to indicate whether `func` should be invoked on the\n * leading and/or trailing edge of the `wait` timeout. The `func` is invoked\n * with the last arguments provided to the debounced function. Subsequent\n * calls to the debounced function return the result of the last `func`\n * invocation.\n *\n * **Note:** If `leading` and `trailing` options are `true`, `func` is\n * invoked on the trailing edge of the timeout only if the debounced function\n * is invoked more than once during the `wait` timeout.\n *\n * If `wait` is `0` and `leading` is `false`, `func` invocation is deferred\n * until to the next tick, similar to `setTimeout` with a timeout of `0`.\n *\n * See [David Corbacho's article](https://css-tricks.com/debouncing-throttling-explained-examples/)\n * for details over the differences between `_.debounce` and `_.throttle`.\n *\n * @static\n * @memberOf _\n * @since 0.1.0\n * @category Function\n * @param {Function} func The function to debounce.\n * @param {number} [wait=0] The number of milliseconds to delay.\n * @param {Object} [options={}] The options object.\n * @param {boolean} [options.leading=false]\n *  Specify invoking on the leading edge of the timeout.\n * @param {number} [options.maxWait]\n *  The maximum time `func` is allowed to be delayed before it's invoked.\n * @param {boolean} [options.trailing=true]\n *  Specify invoking on the trailing edge of the timeout.\n * @returns {Function} Returns the new debounced function.\n * @example\n *\n * // Avoid costly calculations while the window size is in flux.\n * jQuery(window).on('resize', _.debounce(calculateLayout, 150));\n *\n * // Invoke `sendMail` when clicked, debouncing subsequent calls.\n * jQuery(element).on('click', _.debounce(sendMail, 300, {\n *   'leading': true,\n *   'trailing': false\n * }));\n *\n * // Ensure `batchLog` is invoked once after 1 second of debounced calls.\n * var debounced = _.debounce(batchLog, 250, { 'maxWait': 1000 });\n * var source = new EventSource('/stream');\n * jQuery(source).on('message', debounced);\n *\n * // Cancel the trailing debounced invocation.\n * jQuery(window).on('popstate', debounced.cancel);\n */\nfunction debounce(func, wait, options) {\n  var lastArgs,\n      lastThis,\n      maxWait,\n      result,\n      timerId,\n      lastCallTime,\n      lastInvokeTime = 0,\n      leading = false,\n      maxing = false,\n      trailing = true;\n\n  if (typeof func != 'function') {\n    throw new TypeError(FUNC_ERROR_TEXT);\n  }\n  wait = toNumber(wait) || 0;\n  if (isObject(options)) {\n    leading = !!options.leading;\n    maxing = 'maxWait' in options;\n    maxWait = maxing ? 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result : trailingEdge(now());\n  }\n\n  function debounced() {\n    var time = now(),\n        isInvoking = shouldInvoke(time);\n\n    lastArgs = arguments;\n    lastThis = this;\n    lastCallTime = time;\n\n    if (isInvoking) {\n      if (timerId === undefined) {\n        return leadingEdge(lastCallTime);\n      }\n      if (maxing) {\n        // Handle invocations in a tight loop.\n        timerId = setTimeout(timerExpired, wait);\n        return invokeFunc(lastCallTime);\n      }\n    }\n    if (timerId === undefined) {\n      timerId = setTimeout(timerExpired, wait);\n    }\n    return result;\n  }\n  debounced.cancel = cancel;\n  debounced.flush = flush;\n  return debounced;\n}\n\n/**\n * Checks if `value` is the\n * [language type](http://www.ecma-international.org/ecma-262/7.0/#sec-ecmascript-language-types)\n * of `Object`. (e.g. arrays, functions, objects, regexes, `new Number(0)`, and `new String('')`)\n *\n * @static\n * @memberOf _\n * @since 0.1.0\n * @category Lang\n * @param {*} value The value to check.\n * @returns {boolean} Returns `true` if `value` is an object, else `false`.\n * @example\n *\n * _.isObject({});\n * // => true\n *\n * _.isObject([1, 2, 3]);\n * // => true\n *\n * _.isObject(_.noop);\n * // => true\n *\n * _.isObject(null);\n * // => false\n */\nfunction isObject(value) {\n  var type = typeof value;\n  return !!value && (type == 'object' || type == 'function');\n}\n\n/**\n * Checks if `value` is object-like. A value is object-like if it's not `null`\n * and has a `typeof` result of \"object\".\n *\n * @static\n * @memberOf _\n * @since 4.0.0\n * @category Lang\n * @param {*} value The value to check.\n * @returns {boolean} Returns `true` if `value` is object-like, else `false`.\n * @example\n *\n * _.isObjectLike({});\n * // => true\n *\n * _.isObjectLike([1, 2, 3]);\n * // => true\n *\n * _.isObjectLike(_.noop);\n * // => false\n *\n * _.isObjectLike(null);\n * // => false\n */\nfunction isObjectLike(value) {\n  return !!value && typeof value == 'object';\n}\n\n/**\n * Checks if `value` is classified as a `Symbol` primitive or object.\n *\n * @static\n * @memberOf _\n * @since 4.0.0\n * @category Lang\n * @param {*} value The value to check.\n * @returns {boolean} Returns `true` if `value` is a symbol, else `false`.\n * @example\n *\n * _.isSymbol(Symbol.iterator);\n * // => true\n *\n * _.isSymbol('abc');\n * // => false\n */\nfunction isSymbol(value) {\n  return typeof value == 'symbol' ||\n    (isObjectLike(value) && objectToString.call(value) == symbolTag);\n}\n\n/**\n * Converts `value` to a number.\n *\n * @static\n * @memberOf _\n * @since 4.0.0\n * @category Lang\n * @param {*} value The value to process.\n * @returns {number} Returns the number.\n * @example\n *\n * _.toNumber(3.2);\n * // => 3.2\n *\n * _.toNumber(Number.MIN_VALUE);\n * // => 5e-324\n *\n * _.toNumber(Infinity);\n * // => Infinity\n *\n * _.toNumber('3.2');\n * // => 3.2\n */\nfunction toNumber(value) {\n  if (typeof value == 'number') {\n    return value;\n  }\n  if (isSymbol(value)) {\n    return NAN;\n  }\n  if (isObject(value)) {\n    var other = typeof value.valueOf == 'function' ? value.valueOf() : value;\n    value = isObject(other) ? (other + '') : other;\n  }\n  if (typeof value != 'string') {\n    return value === 0 ? value : +value;\n  }\n  value = value.replace(reTrim, '');\n  var isBinary = reIsBinary.test(value);\n  return (isBinary || reIsOctal.test(value))\n    ? freeParseInt(value.slice(2), isBinary ? 2 : 8)\n    : (reIsBadHex.test(value) ? NAN : +value);\n}\n\nmodule.exports = debounce;\n\n/* WEBPACK VAR INJECTION */}.call(this, __webpack_require__(\"c8ba\")))\n\n/***/ }),\n\n/***/ \"fb15\":\n/***/ (function(module, __webpack_exports__, __webpack_require__) {\n\n\"use strict\";\n// ESM COMPAT FLAG\n__webpack_require__.r(__webpack_exports__);\n\n// CONCATENATED MODULE: ./node_modules/@vue/cli-service/lib/commands/build/setPublicPath.js\n// This file is imported into lib/wc client bundles.\n\nif (typeof window !== 'undefined') {\n  if (true) {\n    __webpack_require__(\"f6fd\")\n  }\n\n  var setPublicPath_i\n  if ((setPublicPath_i = window.document.currentScript) && (setPublicPath_i = setPublicPath_i.src.match(/(.+\\/)[^/]+\\.js(\\?.*)?$/))) {\n    __webpack_require__.p = setPublicPath_i[1] // eslint-disable-line\n  }\n}\n\n// Indicate to webpack that this file can be concatenated\n/* harmony default export */ var setPublicPath = (null);\n\n// EXTERNAL MODULE: ./node_modules/core-js/modules/es.array.filter.js\nvar es_array_filter = __webpack_require__(\"4de4\");\n\n// EXTERNAL MODULE: ./node_modules/core-js/modules/es.array.for-each.js\nvar es_array_for_each = __webpack_require__(\"4160\");\n\n// EXTERNAL MODULE: ./node_modules/core-js/modules/es.array.join.js\nvar es_array_join = __webpack_require__(\"a15b\");\n\n// EXTERNAL MODULE: ./node_modules/core-js/modules/es.array.map.js\nvar es_array_map = __webpack_require__(\"d81d\");\n\n// EXTERNAL MODULE: ./node_modules/core-js/modules/es.array.slice.js\nvar es_array_slice = __webpack_require__(\"fb6a\");\n\n// EXTERNAL MODULE: ./node_modules/core-js/modules/es.object.values.js\nvar es_object_values = __webpack_require__(\"07ac\");\n\n// EXTERNAL MODULE: ./node_modules/core-js/modules/web.dom-collections.for-each.js\nvar web_dom_collections_for_each = __webpack_require__(\"159b\");\n\n// EXTERNAL MODULE: ./node_modules/core-js/modules/es.symbol.js\nvar es_symbol = __webpack_require__(\"a4d3\");\n\n// EXTERNAL MODULE: ./node_modules/core-js/modules/es.object.get-own-property-descriptor.js\nvar es_object_get_own_property_descriptor = __webpack_require__(\"e439\");\n\n// EXTERNAL MODULE: ./node_modules/core-js/modules/es.object.get-own-property-descriptors.js\nvar es_object_get_own_property_descriptors = __webpack_require__(\"dbb4\");\n\n// EXTERNAL MODULE: ./node_modules/core-js/modules/es.object.keys.js\nvar es_object_keys = __webpack_require__(\"b64b\");\n\n// CONCATENATED MODULE: ./node_modules/@babel/runtime/helpers/esm/defineProperty.js\nfunction _defineProperty(obj, key, value) {\n  if (key in obj) {\n    Object.defineProperty(obj, key, {\n      value: value,\n      enumerable: true,\n      configurable: true,\n      writable: true\n    });\n  } else {\n    obj[key] = value;\n  }\n\n  return obj;\n}\n// CONCATENATED MODULE: ./node_modules/@babel/runtime/helpers/esm/objectSpread2.js\n\n\n\n\n\n\n\n\n\nfunction ownKeys(object, enumerableOnly) {\n  var keys = Object.keys(object);\n\n  if (Object.getOwnPropertySymbols) {\n    var symbols = Object.getOwnPropertySymbols(object);\n    if (enumerableOnly) symbols = symbols.filter(function (sym) {\n      return Object.getOwnPropertyDescriptor(object, sym).enumerable;\n    });\n    keys.push.apply(keys, symbols);\n  }\n\n  return keys;\n}\n\nfunction _objectSpread2(target) {\n  for (var i = 1; i < arguments.length; i++) {\n    var source = arguments[i] != null ? arguments[i] : {};\n\n    if (i % 2) {\n      ownKeys(Object(source), true).forEach(function (key) {\n        _defineProperty(target, key, source[key]);\n      });\n    } else if (Object.getOwnPropertyDescriptors) {\n      Object.defineProperties(target, Object.getOwnPropertyDescriptors(source));\n    } else {\n      ownKeys(Object(source)).forEach(function (key) {\n        Object.defineProperty(target, key, Object.getOwnPropertyDescriptor(source, key));\n      });\n    }\n  }\n\n  return target;\n}\n// EXTERNAL MODULE: ./node_modules/json2mq/index.js\nvar json2mq = __webpack_require__(\"a48b\");\nvar json2mq_default = /*#__PURE__*/__webpack_require__.n(json2mq);\n\n// CONCATENATED MODULE: ./node_modules/cache-loader/dist/cjs.js??ref--12-0!./node_modules/thread-loader/dist/cjs.js!./node_modules/babel-loader/lib!./node_modules/vuetify-loader/lib/loader.js??ref--19-0!./node_modules/cache-loader/dist/cjs.js??ref--0-0!./node_modules/vue-loader/lib??vue-loader-options!./src/mixinPropsUpdated.vue?vue&type=script&lang=js&\n\n\n\n/* harmony default export */ var mixinPropsUpdatedvue_type_script_lang_js_ = ({\n  computed: {\n    isPropsUpdated: function isPropsUpdated() {\n      var _this = this;\n\n      // Read props that need to be listened for changes.\n      Object.keys(this.$props).forEach(function (key) {\n        return _this[key];\n      }); // Return a different value each time. `Date.now()` is not guaranteed to be unique.\n      // eslint-disable-next-line vue/no-side-effects-in-computed-properties\n\n      return this.updateSwitch = !this.updateSwitch;\n    }\n  },\n  watch: {\n    isPropsUpdated: function isPropsUpdated() {\n      if (typeof this.onPropsUpdated === 'function') {\n        this.onPropsUpdated();\n      }\n    }\n  }\n});\n// CONCATENATED MODULE: ./src/mixinPropsUpdated.vue?vue&type=script&lang=js&\n /* harmony default export */ var src_mixinPropsUpdatedvue_type_script_lang_js_ = (mixinPropsUpdatedvue_type_script_lang_js_); \n// CONCATENATED MODULE: ./node_modules/vue-loader/lib/runtime/componentNormalizer.js\n/* globals __VUE_SSR_CONTEXT__ */\n\n// IMPORTANT: Do NOT use ES2015 features in this file (except for modules).\n// This module is a runtime utility for cleaner component module output and will\n// be included in the final webpack user bundle.\n\nfunction normalizeComponent (\n  scriptExports,\n  render,\n  staticRenderFns,\n  functionalTemplate,\n  injectStyles,\n  scopeId,\n  moduleIdentifier, /* server only */\n  shadowMode /* vue-cli only */\n) {\n  // Vue.extend constructor export interop\n  var options = typeof scriptExports === 'function'\n    ? scriptExports.options\n    : scriptExports\n\n  // render functions\n  if (render) {\n    options.render = render\n    options.staticRenderFns = staticRenderFns\n    options._compiled = true\n  }\n\n  // functional template\n  if (functionalTemplate) {\n    options.functional = true\n  }\n\n  // scopedId\n  if (scopeId) {\n    options._scopeId = 'data-v-' + scopeId\n  }\n\n  var hook\n  if (moduleIdentifier) { // server build\n    hook = function (context) {\n      // 2.3 injection\n      context =\n        context || // cached call\n        (this.$vnode && this.$vnode.ssrContext) || // stateful\n        (this.parent && this.parent.$vnode && this.parent.$vnode.ssrContext) // functional\n      // 2.2 with runInNewContext: true\n      if (!context && typeof __VUE_SSR_CONTEXT__ !== 'undefined') {\n        context = __VUE_SSR_CONTEXT__\n      }\n      // inject component styles\n      if (injectStyles) {\n        injectStyles.call(this, context)\n      }\n      // register component module identifier for async chunk inferrence\n      if (context && context._registeredComponents) {\n        context._registeredComponents.add(moduleIdentifier)\n      }\n    }\n    // used by ssr in case component is cached and beforeCreate\n    // never gets called\n    options._ssrRegister = hook\n  } else if (injectStyles) {\n    hook = shadowMode\n      ? function () { injectStyles.call(this, this.$root.$options.shadowRoot) }\n      : injectStyles\n  }\n\n  if (hook) {\n    if (options.functional) {\n      // for template-only hot-reload because in that case the render fn doesn't\n      // go through the normalizer\n      options._injectStyles = hook\n      // register for functional component in vue file\n      var originalRender = options.render\n      options.render = function renderWithStyleInjection (h, context) {\n        hook.call(context)\n        return originalRender(h, context)\n      }\n    } else {\n      // inject component registration as beforeCreate hook\n      var existing = options.beforeCreate\n      options.beforeCreate = existing\n        ? [].concat(existing, hook)\n        : [hook]\n    }\n  }\n\n  return {\n    exports: scriptExports,\n    options: options\n  }\n}\n\n// CONCATENATED MODULE: ./src/mixinPropsUpdated.vue\nvar mixinPropsUpdated_render, staticRenderFns\n\n\n\n\n/* normalize component */\n\nvar component = normalizeComponent(\n  src_mixinPropsUpdatedvue_type_script_lang_js_,\n  mixinPropsUpdated_render,\n  staticRenderFns,\n  false,\n  null,\n  null,\n  null\n  \n)\n\n/* harmony default export */ var mixinPropsUpdated = (component.exports);\n// EXTERNAL MODULE: ./node_modules/lodash.pick/index.js\nvar lodash_pick = __webpack_require__(\"88bc\");\nvar lodash_pick_default = /*#__PURE__*/__webpack_require__.n(lodash_pick);\n\n// EXTERNAL MODULE: ./node_modules/lodash.assign/index.js\nvar lodash_assign = __webpack_require__(\"42a0\");\nvar lodash_assign_default = /*#__PURE__*/__webpack_require__.n(lodash_assign);\n\n// EXTERNAL MODULE: ./node_modules/lodash.get/index.js\nvar lodash_get = __webpack_require__(\"c832\");\nvar lodash_get_default = /*#__PURE__*/__webpack_require__.n(lodash_get);\n\n// CONCATENATED MODULE: ./src/vNodeUtils.js\n\n\n\n\n\nvar vNodeUtils_mergeVNodeData = function mergeVNodeData(vnode, name, obj) {\n  if (!vnode) {\n    return;\n  }\n\n  vnode.data = vnode.data || {};\n  vnode.data[name] = _objectSpread2({}, vnode.data[name], {}, obj);\n};\nvar setVNodeData = function setVNodeData(vnode, name, value) {\n  if (!vnode) {\n    return;\n  }\n\n  vnode.data = vnode.data || {};\n  vnode.data[name] = value;\n};\nvar DATA_KEYS = ['class', 'staticClass', 'style', 'attrs', 'props', 'domProps', 'on', 'nativeOn', 'directives', 'scopesSlots', 'slot', 'ref', 'key'];\n\nfunction mutateKey(key) {\n  return '' + key + \"-cloned-cid\";\n}\n\nfunction extractData(vnode, isComp) {\n  var data = lodash_pick_default()(vnode.data, DATA_KEYS);\n\n  if (isComp) {\n    var cOpts = vnode.componentOptions;\n    lodash_assign_default()(data, {\n      props: cOpts.propsData,\n      on: cOpts.listeners\n    });\n  }\n\n  if (data.key) {\n    data.key = mutateKey(data.key);\n  }\n\n  return data;\n}\n\nvar cloneVNode = function cloneVNode(vnode) {\n  // use the context that the original vnode was created in.\n  var h = vnode.context && vnode.context.$createElement;\n  var isComp = !!vnode.componentOptions;\n  var isText = !vnode.tag; // this will also match comments but those will be dropped, essentially\n\n  var children = isComp ? vnode.componentOptions.children : vnode.children;\n  if (isText) return vnode.text;\n  var data = extractData(vnode, isComp);\n  var tag = isComp ? vnode.componentOptions.Ctor : vnode.tag;\n  var childNodes = children ? children.map(function (c) {\n    return cloneVNode(c);\n  }) : undefined;\n  return h(tag, data, childNodes);\n};\nvar vNodeUtils_copyClassesFrom = function copyClassesFrom(vnode, from) {\n  var _from$data = from.data,\n      data = _from$data === void 0 ? {} : _from$data;\n  setVNodeData(vnode, 'staticClass', data.staticClass);\n  vNodeUtils_mergeVNodeData(vnode, 'class', _objectSpread2({}, data.class, {}, from));\n};\nvar vNodeUtils_getData = function getData(vnode, path, defaultValue) {\n  if (!vnode) {\n    return;\n  }\n\n  var data = vnode.data || {};\n  return typeof path === 'undefined' ? data : lodash_get_default()(data, path, defaultValue);\n};\nvar vNodeUtils_getStyle = function getStyle(vnode) {\n  return _objectSpread2({}, vNodeUtils_getData(vnode, 'staticStyle', {}), {}, vNodeUtils_getData(vnode, 'style', {}));\n};\n// EXTERNAL MODULE: ./node_modules/core-js/modules/es.array.concat.js\nvar es_array_concat = __webpack_require__(\"99af\");\n\n// EXTERNAL MODULE: ./node_modules/core-js/modules/es.array.every.js\nvar es_array_every = __webpack_require__(\"a623\");\n\n// EXTERNAL MODULE: ./node_modules/core-js/modules/es.array.from.js\nvar es_array_from = __webpack_require__(\"a630\");\n\n// EXTERNAL MODULE: ./node_modules/core-js/modules/es.array.index-of.js\nvar es_array_index_of = __webpack_require__(\"c975\");\n\n// EXTERNAL MODULE: ./node_modules/core-js/modules/es.array.reduce.js\nvar es_array_reduce = __webpack_require__(\"13d5\");\n\n// EXTERNAL MODULE: ./node_modules/core-js/modules/es.number.constructor.js\nvar es_number_constructor = __webpack_require__(\"a9e3\");\n\n// EXTERNAL MODULE: ./node_modules/core-js/modules/es.regexp.exec.js\nvar es_regexp_exec = __webpack_require__(\"ac1f\");\n\n// EXTERNAL MODULE: ./node_modules/core-js/modules/es.string.iterator.js\nvar es_string_iterator = __webpack_require__(\"3ca3\");\n\n// EXTERNAL MODULE: ./node_modules/core-js/modules/es.string.match.js\nvar es_string_match = __webpack_require__(\"466d\");\n\n// CONCATENATED MODULE: ./src/innerSliderUtils.js\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nvar canUseDOM = function canUseDOM() {\n  return !!(typeof window !== 'undefined' && window.document && window.document.createElement);\n};\nvar getPreClones = function getPreClones(spec) {\n  if (spec.unslick || !spec.infinite) {\n    return 0;\n  }\n\n  if (spec.variableWidth) {\n    return spec.slideCount;\n  }\n\n  return spec.slidesToShow + (spec.centerMode ? 1 : 0);\n};\nvar getPostClones = function getPostClones(spec) {\n  if (spec.unslick || !spec.infinite) {\n    return 0;\n  }\n\n  return spec.slideCount;\n};\nvar innerSliderUtils_keyHandler = function keyHandler(e, accessibility, rtl) {\n  if (e.target.tagName.match('TEXTAREA|INPUT|SELECT') || !accessibility) return '';\n  if (e.keyCode === 37) return rtl ? 'next' : 'previous';\n  if (e.keyCode === 39) return rtl ? 'previous' : 'next';\n  return '';\n};\nvar siblingDirection = function siblingDirection(spec) {\n  if (spec.targetSlide > spec.currentSlide) {\n    if (spec.targetSlide > spec.currentSlide + slidesOnRight(spec)) {\n      return 'left';\n    }\n\n    return 'right';\n  } else {\n    if (spec.targetSlide < spec.currentSlide - slidesOnLeft(spec)) {\n      return 'right';\n    }\n\n    return 'left';\n  }\n};\nvar slidesOnRight = function slidesOnRight(_ref) {\n  var slidesToShow = _ref.slidesToShow,\n      centerMode = _ref.centerMode,\n      rtl = _ref.rtl,\n      centerPadding = _ref.centerPadding;\n\n  // returns no of slides on the right of active slide\n  if (centerMode) {\n    var right = (slidesToShow - 1) / 2 + 1;\n    if (parseInt(centerPadding) > 0) right += 1;\n    if (rtl && slidesToShow % 2 === 0) right += 1;\n    return right;\n  }\n\n  if (rtl) {\n    return 0;\n  }\n\n  return slidesToShow - 1;\n};\nvar slidesOnLeft = function slidesOnLeft(_ref2) {\n  var slidesToShow = _ref2.slidesToShow,\n      centerMode = _ref2.centerMode,\n      rtl = _ref2.rtl,\n      centerPadding = _ref2.centerPadding;\n\n  // returns no of slides on the left of active slide\n  if (centerMode) {\n    var left = (slidesToShow - 1) / 2 + 1;\n    if (parseInt(centerPadding) > 0) left += 1;\n    if (!rtl && slidesToShow % 2 === 0) left += 1;\n    return left;\n  }\n\n  if (rtl) {\n    return slidesToShow - 1;\n  }\n\n  return 0;\n}; // startIndex that needs to be present\n\nvar lazyStartIndex = function lazyStartIndex(spec) {\n  return spec.currentSlide - lazySlidesOnLeft(spec);\n};\nvar lazyEndIndex = function lazyEndIndex(spec) {\n  return spec.currentSlide + lazySlidesOnRight(spec);\n};\nvar lazySlidesOnLeft = function lazySlidesOnLeft(spec) {\n  return spec.centerMode ? Math.floor(spec.slidesToShow / 2) + (parseInt(spec.centerPadding) > 0 ? 1 : 0) : 0;\n};\nvar lazySlidesOnRight = function lazySlidesOnRight(spec) {\n  return spec.centerMode ? Math.floor((spec.slidesToShow - 1) / 2) + 1 + (parseInt(spec.centerPadding) > 0 ? 1 : 0) : spec.slidesToShow;\n};\nvar getOnDemandLazySlides = function getOnDemandLazySlides(spec) {\n  var onDemandSlides = [];\n  var startIndex = lazyStartIndex(spec);\n  var endIndex = lazyEndIndex(spec);\n\n  for (var slideIndex = startIndex; slideIndex < endIndex; slideIndex++) {\n    if (spec.lazyLoadedList.indexOf(slideIndex) < 0) {\n      onDemandSlides.push(slideIndex);\n    }\n  }\n\n  return onDemandSlides;\n};\nvar innerSliderUtils_changeSlide = function changeSlide(spec, options) {\n  var indexOffset, previousInt, slideOffset, unevenOffset, targetSlide;\n  var slidesToScroll = spec.slidesToScroll,\n      slidesToShow = spec.slidesToShow,\n      slideCount = spec.slideCount,\n      currentSlide = spec.currentSlide,\n      lazyLoad = spec.lazyLoad,\n      infinite = spec.infinite;\n  unevenOffset = slideCount % slidesToScroll !== 0;\n  indexOffset = unevenOffset ? 0 : (slideCount - currentSlide) % slidesToScroll;\n\n  if (options.message === 'previous') {\n    slideOffset = indexOffset === 0 ? slidesToScroll : slidesToShow - indexOffset;\n    targetSlide = currentSlide - slideOffset;\n\n    if (lazyLoad && !infinite) {\n      previousInt = currentSlide - slideOffset;\n      targetSlide = previousInt === -1 ? slideCount - 1 : previousInt;\n    }\n  } else if (options.message === 'next') {\n    slideOffset = indexOffset === 0 ? slidesToScroll : indexOffset;\n    targetSlide = currentSlide + slideOffset;\n\n    if (lazyLoad && !infinite) {\n      targetSlide = (currentSlide + slidesToScroll) % slideCount + indexOffset;\n    }\n  } else if (options.message === 'dots') {\n    // Click on dots\n    targetSlide = options.index * options.slidesToScroll;\n\n    if (targetSlide === options.currentSlide) {\n      return null;\n    }\n  } else if (options.message === 'children') {\n    // Click on the slides\n    targetSlide = options.index;\n\n    if (targetSlide === options.currentSlide) {\n      return null;\n    }\n\n    if (infinite) {\n      var direction = siblingDirection(_objectSpread2({}, spec, {\n        targetSlide: targetSlide\n      }));\n\n      if (targetSlide > options.currentSlide && direction === 'left') {\n        targetSlide = targetSlide - slideCount;\n      } else if (targetSlide < options.currentSlide && direction === 'right') {\n        targetSlide = targetSlide + slideCount;\n      }\n    }\n  } else if (options.message === 'index') {\n    targetSlide = Number(options.index);\n\n    if (targetSlide === options.currentSlide) {\n      return null;\n    }\n  }\n\n  return targetSlide;\n};\nvar filterUndefined = function filterUndefined(props) {\n  return Object.keys(props).filter(function (key) {\n    return props[key] !== undefined;\n  }).reduce(function (obj, key) {\n    obj[key] = props[key];\n    return obj;\n  }, {});\n};\nvar filterUndefinedOrNull = function filterUndefinedOrNull(props) {\n  return Object.keys(props).filter(function (key) {\n    return props[key] !== undefined && props[key] !== null;\n  }).reduce(function (obj, key) {\n    obj[key] = props[key];\n    return obj;\n  }, {});\n};\nvar innerSliderUtils_swipeStart = function swipeStart(e, swipe, draggable) {\n  if (!swipe || !draggable && e.type.indexOf('mouse') !== -1) return '';\n  return {\n    dragging: true,\n    touchObject: {\n      startX: e.touches ? e.touches[0].pageX : e.clientX,\n      startY: e.touches ? e.touches[0].pageY : e.clientY,\n      curX: e.touches ? e.touches[0].pageX : e.clientX,\n      curY: e.touches ? e.touches[0].pageY : e.clientY\n    }\n  };\n};\nvar innerSliderUtils_swipeMove = function swipeMove(e, spec) {\n  // spec also contains, trackRef and slideIndex\n  var scrolling = spec.scrolling,\n      animating = spec.animating,\n      vertical = spec.vertical,\n      swipeToSlide = spec.swipeToSlide,\n      verticalSwiping = spec.verticalSwiping,\n      rtl = spec.rtl,\n      currentSlide = spec.currentSlide,\n      edgeFriction = spec.edgeFriction,\n      edgeDragged = spec.edgeDragged,\n      onEdge = spec.onEdge,\n      swiped = spec.swiped,\n      swiping = spec.swiping,\n      slideCount = spec.slideCount,\n      slidesToScroll = spec.slidesToScroll,\n      infinite = spec.infinite,\n      touchObject = spec.touchObject,\n      swipeEvent = spec.swipeEvent,\n      listHeight = spec.listHeight,\n      listWidth = spec.listWidth;\n  if (scrolling) return;\n  if (animating) return e.preventDefault();\n  if (vertical && swipeToSlide && verticalSwiping) e.preventDefault();\n  var swipeLeft,\n      state = {};\n  var curLeft = getTrackLeft(spec);\n  touchObject.curX = e.touches ? e.touches[0].pageX : e.clientX;\n  touchObject.curY = e.touches ? e.touches[0].pageY : e.clientY;\n  touchObject.swipeLength = Math.round(Math.sqrt(Math.pow(touchObject.curX - touchObject.startX, 2)));\n  var verticalSwipeLength = Math.round(Math.sqrt(Math.pow(touchObject.curY - touchObject.startY, 2)));\n\n  if (!verticalSwiping && !swiping && verticalSwipeLength > 10) {\n    return {\n      scrolling: true\n    };\n  }\n\n  if (verticalSwiping) touchObject.swipeLength = verticalSwipeLength;\n  var positionOffset = (!rtl ? 1 : -1) * (touchObject.curX > touchObject.startX ? 1 : -1);\n  if (verticalSwiping) positionOffset = touchObject.curY > touchObject.startY ? 1 : -1;\n  var dotCount = Math.ceil(slideCount / slidesToScroll);\n  var swipeDirection = getSwipeDirection(spec.touchObject, verticalSwiping);\n  var touchSwipeLength = touchObject.swipeLength;\n\n  if (!infinite) {\n    if (currentSlide === 0 && swipeDirection === 'right' || currentSlide + 1 >= dotCount && swipeDirection === 'left' || !canGoNext(spec) && swipeDirection === 'left') {\n      touchSwipeLength = touchObject.swipeLength * edgeFriction;\n\n      if (edgeDragged === false && onEdge) {\n        onEdge(swipeDirection);\n        state['edgeDragged'] = true;\n      }\n    }\n  }\n\n  if (!swiped && swipeEvent) {\n    swipeEvent(swipeDirection);\n    state['swiped'] = true;\n  }\n\n  if (!vertical) {\n    if (!rtl) {\n      swipeLeft = curLeft + touchSwipeLength * positionOffset;\n    } else {\n      swipeLeft = curLeft - touchSwipeLength * positionOffset;\n    }\n  } else {\n    swipeLeft = curLeft + touchSwipeLength * (listHeight / listWidth) * positionOffset;\n  }\n\n  if (verticalSwiping) {\n    swipeLeft = curLeft + touchSwipeLength * positionOffset;\n  }\n\n  state = _objectSpread2({}, state, {\n    touchObject: touchObject,\n    swipeLeft: swipeLeft,\n    trackStyle: innerSliderUtils_getTrackCSS(_objectSpread2({}, spec, {\n      left: swipeLeft\n    }))\n  });\n\n  if (Math.abs(touchObject.curX - touchObject.startX) < Math.abs(touchObject.curY - touchObject.startY) * 0.8) {\n    return state;\n  }\n\n  if (touchObject.swipeLength > 10) {\n    state['swiping'] = true;\n    e.preventDefault();\n  }\n\n  return state;\n};\nvar innerSliderUtils_swipeEnd = function swipeEnd(e, spec) {\n  var dragging = spec.dragging,\n      swipe = spec.swipe,\n      touchObject = spec.touchObject,\n      listWidth = spec.listWidth,\n      touchThreshold = spec.touchThreshold,\n      verticalSwiping = spec.verticalSwiping,\n      listHeight = spec.listHeight,\n      currentSlide = spec.currentSlide,\n      swipeToSlide = spec.swipeToSlide,\n      scrolling = spec.scrolling,\n      onSwipe = spec.onSwipe;\n\n  if (!dragging) {\n    if (swipe) e.preventDefault();\n    return {};\n  }\n\n  var minSwipe = verticalSwiping ? listHeight / touchThreshold : listWidth / touchThreshold;\n  var swipeDirection = getSwipeDirection(touchObject, verticalSwiping); // reset the state of touch related state variables.\n\n  var state = {\n    dragging: false,\n    edgeDragged: false,\n    scrolling: false,\n    swiping: false,\n    swiped: false,\n    swipeLeft: null,\n    touchObject: {}\n  };\n\n  if (scrolling) {\n    return state;\n  }\n\n  if (!touchObject.swipeLength) {\n    return state;\n  }\n\n  if (touchObject.swipeLength > minSwipe) {\n    e.preventDefault();\n\n    if (onSwipe) {\n      onSwipe(swipeDirection);\n    }\n\n    var slideCount, newSlide;\n\n    switch (swipeDirection) {\n      case 'left':\n      case 'up':\n        newSlide = currentSlide + getSlideCount(spec);\n        slideCount = swipeToSlide ? checkNavigable(spec, newSlide) : newSlide;\n        state['currentDirection'] = 0;\n        break;\n\n      case 'right':\n      case 'down':\n        newSlide = currentSlide - getSlideCount(spec);\n        slideCount = swipeToSlide ? checkNavigable(spec, newSlide) : newSlide;\n        state['currentDirection'] = 1;\n        break;\n\n      default:\n        slideCount = currentSlide;\n    }\n\n    state['triggerSlideHandler'] = slideCount;\n  } else {\n    // Adjust the track back to it's original position.\n    var currentLeft = getTrackLeft(spec);\n    state['trackStyle'] = getTrackAnimateCSS(_objectSpread2({}, spec, {\n      left: currentLeft\n    }));\n  }\n\n  return state;\n};\nvar getNavigableIndexes = function getNavigableIndexes(spec) {\n  var max = spec.infinite ? spec.slideCount * 2 : spec.slideCount;\n  var breakpoint = spec.infinite ? spec.slidesToShow * -1 : 0;\n  var counter = spec.infinite ? spec.slidesToShow * -1 : 0;\n  var indexes = [];\n\n  while (breakpoint < max) {\n    indexes.push(breakpoint);\n    breakpoint = counter + spec.slidesToScroll;\n    counter += Math.min(spec.slidesToScroll, spec.slidesToShow);\n  }\n\n  return indexes;\n};\nvar checkNavigable = function checkNavigable(spec, index) {\n  var navigables = getNavigableIndexes(spec);\n  var prevNavigable = 0;\n\n  if (index > navigables[navigables.length - 1]) {\n    index = navigables[navigables.length - 1];\n  } else {\n    for (var n in navigables) {\n      if (index < navigables[n]) {\n        index = prevNavigable;\n        break;\n      }\n\n      prevNavigable = navigables[n];\n    }\n  }\n\n  return index;\n};\nvar getSlideCount = function getSlideCount(spec) {\n  var centerOffset = spec.centerMode ? spec.slideWidth * Math.floor(spec.slidesToShow / 2) : 0;\n\n  if (spec.swipeToSlide) {\n    var swipedSlide;\n    var slickList = spec.listRef;\n    var slides = slickList.querySelectorAll('.slick-slide');\n    Array.from(slides).every(function (slide) {\n      if (!spec.vertical) {\n        if (slide.offsetLeft - centerOffset + getWidth(slide) / 2 > spec.swipeLeft * -1) {\n          swipedSlide = slide;\n          return false;\n        }\n      } else {\n        if (slide.offsetTop + getHeight(slide) / 2 > spec.swipeLeft * -1) {\n          swipedSlide = slide;\n          return false;\n        }\n      }\n\n      return true;\n    });\n\n    if (!swipedSlide) {\n      return 0;\n    }\n\n    var currentIndex = spec.rtl === true ? spec.slideCount - spec.currentSlide : spec.currentSlide;\n    var slidesTraversed = Math.abs(swipedSlide.dataset.index - currentIndex) || 1;\n    return slidesTraversed;\n  } else {\n    return spec.slidesToScroll;\n  }\n}; // given an object and a list of keys, return new object with given keys\n\nvar extractObject = function extractObject(spec, keys) {\n  var newObject = {};\n  keys.forEach(function (key) {\n    return newObject[key] = spec[key];\n  });\n  return newObject;\n};\nvar PROP_KEYS = {\n  TRACK: ['fade', 'cssEase', 'speed', 'infinite', 'centerMode', 'currentSlide', 'lazyLoad', 'lazyLoadedList', 'rtl', 'slideWidth', 'slideHeight', 'listHeight', 'vertical', 'slidesToShow', 'slidesToScroll', 'slideCount', 'trackStyle', 'variableWidth', 'unslick', 'centerPadding'],\n  DOT: ['dotsClass', 'slideCount', 'slidesToShow', 'currentSlide', 'slidesToScroll', 'children', 'customPaging', 'infinite'],\n  ARROW: ['infinite', 'centerMode', 'currentSlide', 'slideCount', 'slidesToShow', 'prevArrow', 'nextArrow']\n}; // whether or not we can go next\n\nvar canGoNext = function canGoNext(spec) {\n  var canGo = true;\n\n  if (!spec.infinite) {\n    if (spec.centerMode && spec.currentSlide >= spec.slideCount - 1) {\n      canGo = false;\n    } else if (spec.slideCount <= spec.slidesToShow || spec.currentSlide >= spec.slideCount - spec.slidesToShow) {\n      canGo = false;\n    }\n  }\n\n  return canGo;\n};\nvar innerSliderUtils_slideHandler = function slideHandler(spec) {\n  var waitForAnimate = spec.waitForAnimate,\n      animating = spec.animating,\n      fade = spec.fade,\n      infinite = spec.infinite,\n      index = spec.index,\n      slideCount = spec.slideCount,\n      lazyLoadedList = spec.lazyLoadedList,\n      lazyLoad = spec.lazyLoad,\n      currentSlide = spec.currentSlide,\n      centerMode = spec.centerMode,\n      slidesToScroll = spec.slidesToScroll,\n      slidesToShow = spec.slidesToShow,\n      useCSS = spec.useCSS;\n  if (waitForAnimate && animating) return {};\n  var animationSlide = index,\n      finalSlide,\n      animationLeft,\n      finalLeft;\n  var state = {},\n      nextState = {};\n\n  if (fade) {\n    if (!infinite && (index < 0 || index >= slideCount)) return {};\n\n    if (index < 0) {\n      animationSlide = index + slideCount;\n    } else if (index >= slideCount) {\n      animationSlide = index - slideCount;\n    }\n\n    if (lazyLoad && lazyLoadedList.indexOf(animationSlide) < 0) {\n      lazyLoadedList.push(animationSlide);\n    }\n\n    state = {\n      animating: true,\n      currentSlide: animationSlide,\n      lazyLoadedList: lazyLoadedList\n    };\n    nextState = {\n      animating: false\n    };\n  } else {\n    finalSlide = animationSlide;\n\n    if (animationSlide < 0) {\n      finalSlide = animationSlide + slideCount;\n      if (!infinite) finalSlide = 0;else if (slideCount % slidesToScroll !== 0) finalSlide = slideCount - slideCount % slidesToScroll;\n    } else if (!canGoNext(spec) && animationSlide > currentSlide) {\n      animationSlide = finalSlide = currentSlide;\n    } else if (centerMode && animationSlide >= slideCount) {\n      animationSlide = infinite ? slideCount : slideCount - 1;\n      finalSlide = infinite ? 0 : slideCount - 1;\n    } else if (animationSlide >= slideCount) {\n      finalSlide = animationSlide - slideCount;\n      if (!infinite) finalSlide = slideCount - slidesToShow;else if (slideCount % slidesToScroll !== 0) finalSlide = 0;\n    }\n\n    animationLeft = getTrackLeft(_objectSpread2({}, spec, {\n      slideIndex: animationSlide\n    }));\n    finalLeft = getTrackLeft(_objectSpread2({}, spec, {\n      slideIndex: finalSlide\n    }));\n\n    if (!infinite) {\n      if (animationLeft === finalLeft) animationSlide = finalSlide;\n      animationLeft = finalLeft;\n    }\n\n    lazyLoad && lazyLoadedList.concat(getOnDemandLazySlides(_objectSpread2({}, spec, {\n      currentSlide: animationSlide\n    })));\n\n    if (!useCSS) {\n      state = {\n        currentSlide: finalSlide,\n        trackStyle: innerSliderUtils_getTrackCSS(_objectSpread2({}, spec, {\n          left: finalLeft\n        })),\n        lazyLoadedList: lazyLoadedList\n      };\n    } else {\n      state = {\n        animating: true,\n        currentSlide: finalSlide,\n        trackStyle: getTrackAnimateCSS(_objectSpread2({}, spec, {\n          left: animationLeft\n        })),\n        lazyLoadedList: lazyLoadedList\n      };\n      nextState = {\n        animating: false,\n        currentSlide: finalSlide,\n        trackStyle: innerSliderUtils_getTrackCSS(_objectSpread2({}, spec, {\n          left: finalLeft\n        })),\n        swipeLeft: null\n      };\n    }\n  }\n\n  return {\n    state: state,\n    nextState: nextState\n  };\n}; // get width of an element\n\nvar getWidth = function getWidth(elem) {\n  return elem && elem.offsetWidth || 0;\n};\nvar getHeight = function getHeight(elem) {\n  return elem && elem.offsetHeight || 0;\n};\nvar getSwipeDirection = function getSwipeDirection(touchObject) {\n  var verticalSwiping = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : false;\n  var xDist, yDist, r, swipeAngle;\n  xDist = touchObject.startX - touchObject.curX;\n  yDist = touchObject.startY - touchObject.curY;\n  r = Math.atan2(yDist, xDist);\n  swipeAngle = Math.round(r * 180 / Math.PI);\n\n  if (swipeAngle < 0) {\n    swipeAngle = 360 - Math.abs(swipeAngle);\n  }\n\n  if (swipeAngle <= 45 && swipeAngle >= 0 || swipeAngle <= 360 && swipeAngle >= 315) {\n    return 'left';\n  }\n\n  if (swipeAngle >= 135 && swipeAngle <= 225) {\n    return 'right';\n  }\n\n  if (verticalSwiping === true) {\n    if (swipeAngle >= 35 && swipeAngle <= 135) {\n      return 'up';\n    } else {\n      return 'down';\n    }\n  }\n\n  return 'vertical';\n}; // get initialized state\n\nvar initializedState = function initializedState(spec) {\n  // spec also contains listRef, trackRef\n  var slideCount = spec.children.length;\n  var listWidth = Math.ceil(getWidth(spec.listRef));\n  var trackWidth = Math.ceil(getWidth(spec.trackRef));\n  var slideWidth;\n\n  if (!spec.vertical) {\n    var centerPaddingAdj = spec.centerMode && parseInt(spec.centerPadding) * 2;\n\n    if (typeof spec.centerPadding === 'string' && spec.centerPadding.slice(-1) === '%') {\n      centerPaddingAdj *= listWidth / 100;\n    }\n\n    slideWidth = Math.ceil((listWidth - centerPaddingAdj) / spec.slidesToShow);\n  } else {\n    slideWidth = listWidth;\n  }\n\n  var slideHeight = spec.listRef && getHeight(spec.listRef.querySelector('[data-index=\"0\"]'));\n  var listHeight = slideHeight * spec.slidesToShow;\n  var currentSlide = spec.currentSlide === undefined ? spec.initialSlide : spec.currentSlide;\n\n  if (spec.rtl && spec.currentSlide === undefined) {\n    currentSlide = slideCount - 1 - spec.initialSlide;\n  }\n\n  var lazyLoadedList = spec.lazyLoadedList || [];\n  var slidesToLoad = getOnDemandLazySlides({\n    currentSlide: currentSlide,\n    lazyLoadedList: lazyLoadedList\n  }, spec);\n  lazyLoadedList.concat(slidesToLoad);\n  var state = {\n    slideCount: slideCount,\n    slideWidth: slideWidth,\n    listWidth: listWidth,\n    trackWidth: trackWidth,\n    currentSlide: currentSlide,\n    slideHeight: slideHeight,\n    listHeight: listHeight,\n    lazyLoadedList: lazyLoadedList\n  };\n\n  if (spec.autoplaying === null && spec.autoplay) {\n    state['autoplaying'] = 'playing';\n  }\n\n  return state;\n};\nvar getTrackLeft = function getTrackLeft(spec) {\n  if (spec.unslick) {\n    return 0;\n  }\n\n  checkSpecKeys(spec, ['slideIndex', 'trackRef', 'infinite', 'centerMode', 'slideCount', 'slidesToShow', 'slidesToScroll', 'slideWidth', 'listWidth', 'variableWidth', 'slideHeight']);\n  var slideIndex = spec.slideIndex,\n      trackRef = spec.trackRef,\n      infinite = spec.infinite,\n      centerMode = spec.centerMode,\n      slideCount = spec.slideCount,\n      slidesToShow = spec.slidesToShow,\n      slidesToScroll = spec.slidesToScroll,\n      slideWidth = spec.slideWidth,\n      listWidth = spec.listWidth,\n      variableWidth = spec.variableWidth,\n      slideHeight = spec.slideHeight,\n      fade = spec.fade,\n      vertical = spec.vertical;\n  var slideOffset = 0;\n  var targetLeft;\n  var targetSlide;\n  var verticalOffset = 0;\n\n  if (fade || spec.slideCount === 1) {\n    return 0;\n  }\n\n  var slidesToOffset = 0;\n\n  if (infinite) {\n    slidesToOffset = -getPreClones(spec); // bring active slide to the beginning of visual area\n    // if next scroll doesn't have enough children, just reach till the end of original slides instead of shifting slidesToScroll children\n\n    if (slideCount % slidesToScroll !== 0 && slideIndex + slidesToScroll > slideCount) {\n      slidesToOffset = -(slideIndex > slideCount ? slidesToShow - (slideIndex - slideCount) : slideCount % slidesToScroll);\n    } // shift current slide to center of the frame\n\n\n    if (centerMode) {\n      slidesToOffset += parseInt(slidesToShow / 2);\n    }\n  } else {\n    if (slideCount % slidesToScroll !== 0 && slideIndex + slidesToScroll > slideCount) {\n      slidesToOffset = slidesToShow - slideCount % slidesToScroll;\n    }\n\n    if (centerMode) {\n      slidesToOffset = parseInt(slidesToShow / 2);\n    }\n  }\n\n  slideOffset = slidesToOffset * slideWidth;\n  verticalOffset = slidesToOffset * slideHeight;\n\n  if (!vertical) {\n    targetLeft = slideIndex * slideWidth * -1 + slideOffset;\n  } else {\n    targetLeft = slideIndex * slideHeight * -1 + verticalOffset;\n  }\n\n  if (variableWidth === true) {\n    var targetSlideIndex;\n    var trackElem = trackRef.$el;\n    targetSlideIndex = slideIndex + getPreClones(spec);\n    targetSlide = trackElem && trackElem.childNodes[targetSlideIndex];\n    targetLeft = targetSlide ? targetSlide.offsetLeft * -1 : 0;\n\n    if (centerMode === true) {\n      targetSlideIndex = infinite ? slideIndex + getPreClones(spec) : slideIndex;\n      targetSlide = trackElem && trackElem.children[targetSlideIndex];\n      targetLeft = 0;\n\n      for (var slide = 0; slide < targetSlideIndex; slide++) {\n        targetLeft -= trackElem && trackElem.children[slide] && trackElem.children[slide].offsetWidth;\n      }\n\n      targetLeft -= parseInt(spec.centerPadding);\n      targetLeft += targetSlide && (listWidth - targetSlide.offsetWidth) / 2;\n    }\n  }\n\n  return targetLeft;\n};\nvar getTotalSlides = function getTotalSlides(spec) {\n  return spec.slideCount === 1 ? 1 : getPreClones(spec) + spec.slideCount + getPostClones(spec);\n};\nvar checkSpecKeys = function checkSpecKeys(spec, keysArray) {\n  return keysArray.reduce(function (value, key) {\n    return value && spec.hasOwnProperty(key);\n  }, true) ? null : console.error('Keys Missing:', spec);\n}; // eslint-disable-line no-console\n\nvar innerSliderUtils_getTrackCSS = function getTrackCSS(spec) {\n  checkSpecKeys(spec, ['left', 'variableWidth', 'slideCount', 'slidesToShow', 'slideWidth']);\n  var trackWidth, trackHeight;\n  var trackChildren = spec.slideCount + 2 * spec.slidesToShow;\n\n  if (!spec.vertical) {\n    trackWidth = getTotalSlides(spec) * spec.slideWidth;\n  } else {\n    trackHeight = trackChildren * spec.slideHeight;\n  }\n\n  var style = {\n    opacity: 1,\n    transition: '',\n    WebkitTransition: ''\n  };\n\n  if (spec.useTransform) {\n    var WebkitTransform = !spec.vertical ? 'translate3d(' + spec.left + 'px, 0px, 0px)' : 'translate3d(0px, ' + spec.left + 'px, 0px)';\n    var transform = !spec.vertical ? 'translate3d(' + spec.left + 'px, 0px, 0px)' : 'translate3d(0px, ' + spec.left + 'px, 0px)';\n    var msTransform = !spec.vertical ? 'translateX(' + spec.left + 'px)' : 'translateY(' + spec.left + 'px)';\n    style = _objectSpread2({}, style, {\n      WebkitTransform: WebkitTransform,\n      transform: transform,\n      msTransform: msTransform\n    });\n  } else {\n    if (spec.vertical) {\n      style['top'] = spec.left;\n    } else {\n      style['left'] = spec.left;\n    }\n  }\n\n  if (spec.fade) style = {\n    opacity: 1\n  };\n  if (trackWidth) style.width = trackWidth + 'px';\n  if (trackHeight) style.height = trackHeight + 'px'; // Fallback for IE8\n\n  if (window && !window.addEventListener && window.attachEvent) {\n    if (!spec.vertical) {\n      style.marginLeft = spec.left + 'px';\n    } else {\n      style.marginTop = spec.left + 'px';\n    }\n  }\n\n  return style;\n};\nvar getTrackAnimateCSS = function getTrackAnimateCSS(spec) {\n  checkSpecKeys(spec, ['left', 'variableWidth', 'slideCount', 'slidesToShow', 'slideWidth', 'speed', 'cssEase']);\n  var style = innerSliderUtils_getTrackCSS(spec); // useCSS is true by default so it can be undefined\n\n  if (spec.useTransform) {\n    style.WebkitTransition = '-webkit-transform ' + spec.speed + 'ms ' + spec.cssEase;\n    style.transition = 'transform ' + spec.speed + 'ms ' + spec.cssEase;\n  } else {\n    if (spec.vertical) {\n      style.transition = 'top ' + spec.speed + 'ms ' + spec.cssEase;\n    } else {\n      style.transition = 'left ' + spec.speed + 'ms ' + spec.cssEase;\n    }\n  }\n\n  return style;\n};\n// CONCATENATED MODULE: ./src/defaultProps.js\n\n\n\nvar defaultProps_props = {\n  accessibility: {\n    type: Boolean,\n    default: true\n  },\n  adaptiveHeight: {\n    type: Boolean,\n    default: false\n  },\n  arrows: {\n    type: Boolean,\n    default: true\n  },\n  asNavFor: {\n    type: Object,\n    default: null\n  },\n  autoplay: {\n    type: Boolean,\n    default: false\n  },\n  autoplaySpeed: {\n    type: Number,\n    default: 3000\n  },\n  centerMode: {\n    type: Boolean,\n    default: false\n  },\n  centerPadding: {\n    type: String,\n    default: '50px'\n  },\n  cssEase: {\n    type: String,\n    default: 'ease'\n  },\n  dots: {\n    type: Boolean,\n    default: false\n  },\n  dotsClass: {\n    type: String,\n    default: 'slick-dots'\n  },\n  draggable: {\n    type: Boolean,\n    default: true\n  },\n  edgeFriction: {\n    type: Number,\n    default: 0.35\n  },\n  fade: {\n    type: Boolean,\n    default: false\n  },\n  focusOnSelect: {\n    type: Boolean,\n    default: false\n  },\n  infinite: {\n    type: Boolean,\n    default: true\n  },\n  initialSlide: {\n    type: Number,\n    default: 0\n  },\n  lazyLoad: {\n    type: String,\n    default: null\n  },\n  pauseOnDotsHover: {\n    type: Boolean,\n    default: false\n  },\n  pauseOnFocus: {\n    type: Boolean,\n    default: false\n  },\n  pauseOnHover: {\n    type: Boolean,\n    default: true\n  },\n  responsive: {\n    type: Array,\n    default: null\n  },\n  rows: {\n    type: Number,\n    default: 1\n  },\n  rtl: {\n    type: Boolean,\n    default: false\n  },\n  slidesPerRow: {\n    type: Number,\n    default: 1\n  },\n  slidesToScroll: {\n    type: Number,\n    default: 1\n  },\n  slidesToShow: {\n    type: Number,\n    default: 1\n  },\n  speed: {\n    type: Number,\n    default: 500\n  },\n  swipe: {\n    type: Boolean,\n    default: true\n  },\n  swipeToSlide: {\n    type: Boolean,\n    default: false\n  },\n  touchMove: {\n    type: Boolean,\n    default: true\n  },\n  touchThreshold: {\n    type: Number,\n    default: 5\n  },\n  useCSS: {\n    type: Boolean,\n    default: true\n  },\n  useTransform: {\n    type: Boolean,\n    default: true\n  },\n  variableWidth: {\n    type: Boolean,\n    default: false\n  },\n  vertical: {\n    type: Boolean,\n    default: false\n  },\n  waitForAnimate: {\n    type: Boolean,\n    default: true\n  }\n};\nvar defaultValues = Object.keys(defaultProps_props).reduce(function (acc, key) {\n  acc[key] = defaultProps_props[key].default;\n  return acc;\n}, {});\nvar types = Object.keys(defaultProps_props).reduce(function (acc, key) {\n  acc[key] = defaultProps_props[key].type;\n  return acc;\n}, {});\n// EXTERNAL MODULE: ./node_modules/core-js/modules/es.object.assign.js\nvar es_object_assign = __webpack_require__(\"cca6\");\n\n// CONCATENATED MODULE: ./node_modules/@babel/runtime/helpers/esm/objectWithoutPropertiesLoose.js\n\n\nfunction _objectWithoutPropertiesLoose(source, excluded) {\n  if (source == null) return {};\n  var target = {};\n  var sourceKeys = Object.keys(source);\n  var key, i;\n\n  for (i = 0; i < sourceKeys.length; i++) {\n    key = sourceKeys[i];\n    if (excluded.indexOf(key) >= 0) continue;\n    target[key] = source[key];\n  }\n\n  return target;\n}\n// CONCATENATED MODULE: ./node_modules/@babel/runtime/helpers/esm/objectWithoutProperties.js\n\n\n\nfunction _objectWithoutProperties(source, excluded) {\n  if (source == null) return {};\n  var target = _objectWithoutPropertiesLoose(source, excluded);\n  var key, i;\n\n  if (Object.getOwnPropertySymbols) {\n    var sourceSymbolKeys = Object.getOwnPropertySymbols(source);\n\n    for (i = 0; i < sourceSymbolKeys.length; i++) {\n      key = sourceSymbolKeys[i];\n      if (excluded.indexOf(key) >= 0) continue;\n      if (!Object.prototype.propertyIsEnumerable.call(source, key)) continue;\n      target[key] = source[key];\n    }\n  }\n\n  return target;\n}\n// EXTERNAL MODULE: ./node_modules/core-js/modules/es.symbol.description.js\nvar es_symbol_description = __webpack_require__(\"e01a\");\n\n// EXTERNAL MODULE: ./node_modules/core-js/modules/es.symbol.iterator.js\nvar es_symbol_iterator = __webpack_require__(\"d28b\");\n\n// EXTERNAL MODULE: ./node_modules/core-js/modules/es.array.iterator.js\nvar es_array_iterator = __webpack_require__(\"e260\");\n\n// EXTERNAL MODULE: ./node_modules/core-js/modules/es.object.to-string.js\nvar es_object_to_string = __webpack_require__(\"d3b7\");\n\n// EXTERNAL MODULE: ./node_modules/core-js/modules/web.dom-collections.iterator.js\nvar web_dom_collections_iterator = __webpack_require__(\"ddb0\");\n\n// CONCATENATED MODULE: ./node_modules/@babel/runtime/helpers/esm/typeof.js\n\n\n\n\n\n\n\nfunction _typeof(obj) {\n  \"@babel/helpers - typeof\";\n\n  if (typeof Symbol === \"function\" && typeof Symbol.iterator === \"symbol\") {\n    _typeof = function _typeof(obj) {\n      return typeof obj;\n    };\n  } else {\n    _typeof = function _typeof(obj) {\n      return obj && typeof Symbol === \"function\" && obj.constructor === Symbol && obj !== Symbol.prototype ? \"symbol\" : typeof obj;\n    };\n  }\n\n  return _typeof(obj);\n}\n// EXTERNAL MODULE: ./node_modules/resize-observer-polyfill/dist/ResizeObserver.es.js\nvar ResizeObserver_es = __webpack_require__(\"6dd8\");\n\n// EXTERNAL MODULE: ./node_modules/lodash.debounce/index.js\nvar lodash_debounce = __webpack_require__(\"f7fe\");\nvar lodash_debounce_default = /*#__PURE__*/__webpack_require__.n(lodash_debounce);\n\n// CONCATENATED MODULE: ./node_modules/cache-loader/dist/cjs.js??ref--12-0!./node_modules/thread-loader/dist/cjs.js!./node_modules/babel-loader/lib!./node_modules/vuetify-loader/lib/loader.js??ref--19-0!./node_modules/cache-loader/dist/cjs.js??ref--0-0!./node_modules/vue-loader/lib??vue-loader-options!./src/SliderTrack.vue?vue&type=script&lang=js&\n\n\n\n\n\n\n\n\nvar getSlideClasses = function getSlideClasses(spec) {\n  var slickActive, slickCenter, slickCloned;\n  var centerOffset, index;\n\n  if (spec.rtl) {\n    index = spec.slideCount - 1 - spec.index;\n  } else {\n    index = spec.index;\n  }\n\n  slickCloned = index < 0 || index >= spec.slideCount;\n\n  if (spec.centerMode) {\n    centerOffset = Math.floor(spec.slidesToShow / 2);\n    slickCenter = (index - spec.currentSlide) % spec.slideCount === 0;\n\n    if (index > spec.currentSlide - centerOffset - 1 && index <= spec.currentSlide + centerOffset) {\n      slickActive = true;\n    }\n  } else {\n    slickActive = spec.currentSlide <= index && index < spec.currentSlide + spec.slidesToShow;\n  }\n\n  var slickCurrent = index === spec.currentSlide;\n  return {\n    'slick-slide': true,\n    'slick-active': slickActive,\n    'slick-center': slickCenter,\n    'slick-cloned': slickCloned,\n    'slick-current': slickCurrent // dubious in case of RTL\n\n  };\n};\n\nvar getSlideStyle = function getSlideStyle(spec) {\n  var style = {};\n\n  if (spec.variableWidth === undefined || spec.variableWidth === false) {\n    style.width = typeof spec.slideWidth === 'number' ? \"\".concat(spec.slideWidth, \"px\") : spec.slideWidth;\n  }\n\n  if (spec.fade) {\n    style.position = 'relative';\n\n    if (spec.vertical) {\n      style.top = \"\".concat(-spec.index * parseInt(spec.slideHeight), \"px\");\n    } else {\n      style.left = \"\".concat(-spec.index * parseInt(spec.slideWidth), \"px\");\n    }\n\n    style.opacity = spec.currentSlide === spec.index ? 1 : 0;\n    style.transition = 'opacity ' + spec.speed + 'ms ' + spec.cssEase + ', ' + 'visibility ' + spec.speed + 'ms ' + spec.cssEase;\n  }\n\n  return style;\n};\n\nvar getKey = function getKey(child, fallbackKey) {\n  return child.key != null && String(child.key) || fallbackKey;\n};\n\n/* harmony default export */ var SliderTrackvue_type_script_lang_js_ = ({\n  name: 'SliderTrack',\n  props: PROP_KEYS.TRACK,\n  methods: {\n    cloneSlide: function cloneSlide(slide, options) {\n      var _this = this;\n\n      var clone = cloneVNode(slide);\n      clone.key = options.key;\n      vNodeUtils_mergeVNodeData(clone, 'class', options.class);\n      vNodeUtils_mergeVNodeData(clone, 'attrs', options.attrs);\n      vNodeUtils_mergeVNodeData(clone, 'style', options.style);\n      vNodeUtils_mergeVNodeData(clone, 'on', {\n        click: function click(e) {\n          vNodeUtils_getData(slide, 'on.click', function () {})(e);\n\n          _this.$emit('childClicked', options.childOnClickOptions);\n        }\n      });\n      return clone;\n    },\n    renderSlides: function renderSlides(spec, children) {\n      var _this2 = this;\n\n      var h = this.$createElement;\n      var key;\n      var slides = [];\n      var preCloneSlides = [];\n      var postCloneSlides = [];\n      var childrenCount = children.length;\n      var startIndex = lazyStartIndex(spec);\n      var endIndex = lazyEndIndex(spec);\n      children.forEach(function (elem, index) {\n        var child;\n        var childOnClickOptions = {\n          message: 'children',\n          index: index,\n          slidesToScroll: spec.slidesToScroll,\n          currentSlide: spec.currentSlide\n        }; // in case of lazyLoad, whether or not we want to fetch the slide\n\n        if (!spec.lazyLoad || spec.lazyLoad && spec.lazyLoadedList.indexOf(index) >= 0) {\n          child = elem;\n        } else {\n          child = h(\"div\");\n        }\n\n        var childStyle = getSlideStyle(_objectSpread2({}, spec, {\n          index: index\n        }));\n        var slideClasses = getSlideClasses(_objectSpread2({}, spec, {\n          index: index\n        })); // push a cloned element of the desired slide\n\n        slides.push(_this2.cloneSlide(child, {\n          key: 'original' + getKey(child, index),\n          class: slideClasses,\n          style: _objectSpread2({\n            outline: 'none'\n          }, childStyle),\n          attrs: {\n            tabIndex: '-1',\n            'data-index': index,\n            'aria-hidden': \"\".concat(!slideClasses['slick-active'])\n          },\n          childOnClickOptions: childOnClickOptions\n        })); // if slide needs to be precloned or postcloned\n\n        if (spec.infinite && spec.fade === false && childrenCount > spec.slidesToShow) {\n          var preCloneNo = childrenCount - index;\n\n          if (preCloneNo <= getPreClones(spec) && childrenCount !== spec.slidesToShow) {\n            key = -preCloneNo;\n\n            if (key >= startIndex) {\n              child = elem;\n            }\n\n            slideClasses = getSlideClasses(_objectSpread2({}, spec, {\n              index: key\n            }));\n            preCloneSlides.push(_this2.cloneSlide(child, {\n              key: 'precloned' + getKey(child, key),\n              class: slideClasses,\n              style: childStyle,\n              attrs: {\n                tabIndex: '-1',\n                'data-index': key,\n                'aria-hidden': \"\".concat(!slideClasses['slick-active'])\n              },\n              childOnClickOptions: childOnClickOptions\n            }));\n          }\n\n          if (childrenCount !== spec.slidesToShow) {\n            key = childrenCount + index;\n\n            if (key < endIndex) {\n              child = elem;\n            }\n\n            slideClasses = getSlideClasses(_objectSpread2({}, spec, {\n              index: key\n            }));\n            postCloneSlides.push(_this2.cloneSlide(child, {\n              key: 'postcloned' + getKey(child, key),\n              class: slideClasses,\n              style: childStyle,\n              attrs: {\n                tabIndex: '-1',\n                'data-index': key,\n                'aria-hidden': \"\".concat(!slideClasses['slick-active'])\n              },\n              childOnClickOptions: childOnClickOptions\n            }));\n          }\n        }\n      }, this);\n\n      if (spec.rtl) {\n        return preCloneSlides.concat(slides, postCloneSlides).reverse();\n      } else {\n        return preCloneSlides.concat(slides, postCloneSlides);\n      }\n    }\n  },\n  render: function render() {\n    var h = arguments[0];\n    var slides = this.renderSlides(this.$props, this.$slots.default);\n    return h(\"div\", {\n      \"class\": {\n        'slick-track': true,\n        'slick-center': this.$props.centerMode\n      },\n      \"style\": this.trackStyle\n    }, [slides]);\n  }\n});\n// CONCATENATED MODULE: ./src/SliderTrack.vue?vue&type=script&lang=js&\n /* harmony default export */ var src_SliderTrackvue_type_script_lang_js_ = (SliderTrackvue_type_script_lang_js_); \n// EXTERNAL MODULE: ./src/SliderTrack.vue?vue&type=style&index=0&id=e4caeaf8&scoped=true&lang=css&\nvar SliderTrackvue_type_style_index_0_id_e4caeaf8_scoped_true_lang_css_ = __webpack_require__(\"6ea2\");\n\n// CONCATENATED MODULE: ./src/SliderTrack.vue\nvar SliderTrack_render, SliderTrack_staticRenderFns\n\n\n\n\n\n/* normalize component */\n\nvar SliderTrack_component = normalizeComponent(\n  src_SliderTrackvue_type_script_lang_js_,\n  SliderTrack_render,\n  SliderTrack_staticRenderFns,\n  false,\n  null,\n  \"e4caeaf8\",\n  null\n  \n)\n\n/* harmony default export */ var SliderTrack = (SliderTrack_component.exports);\n// CONCATENATED MODULE: ./node_modules/@babel/runtime/helpers/esm/arrayLikeToArray.js\nfunction _arrayLikeToArray(arr, len) {\n  if (len == null || len > arr.length) len = arr.length;\n\n  for (var i = 0, arr2 = new Array(len); i < len; i++) {\n    arr2[i] = arr[i];\n  }\n\n  return arr2;\n}\n// CONCATENATED MODULE: ./node_modules/@babel/runtime/helpers/esm/arrayWithoutHoles.js\n\nfunction _arrayWithoutHoles(arr) {\n  if (Array.isArray(arr)) return _arrayLikeToArray(arr);\n}\n// CONCATENATED MODULE: ./node_modules/@babel/runtime/helpers/esm/iterableToArray.js\n\n\n\n\n\n\n\n\nfunction _iterableToArray(iter) {\n  if (typeof Symbol !== \"undefined\" && Symbol.iterator in Object(iter)) return Array.from(iter);\n}\n// EXTERNAL MODULE: ./node_modules/core-js/modules/es.function.name.js\nvar es_function_name = __webpack_require__(\"b0c0\");\n\n// EXTERNAL MODULE: ./node_modules/core-js/modules/es.regexp.to-string.js\nvar es_regexp_to_string = __webpack_require__(\"25f0\");\n\n// CONCATENATED MODULE: ./node_modules/@babel/runtime/helpers/esm/unsupportedIterableToArray.js\n\n\n\n\n\n\n\nfunction _unsupportedIterableToArray(o, minLen) {\n  if (!o) return;\n  if (typeof o === \"string\") return _arrayLikeToArray(o, minLen);\n  var n = Object.prototype.toString.call(o).slice(8, -1);\n  if (n === \"Object\" && o.constructor) n = o.constructor.name;\n  if (n === \"Map\" || n === \"Set\") return Array.from(n);\n  if (n === \"Arguments\" || /^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(n)) return _arrayLikeToArray(o, minLen);\n}\n// CONCATENATED MODULE: ./node_modules/@babel/runtime/helpers/esm/nonIterableSpread.js\nfunction _nonIterableSpread() {\n  throw new TypeError(\"Invalid attempt to spread non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\");\n}\n// CONCATENATED MODULE: ./node_modules/@babel/runtime/helpers/esm/toConsumableArray.js\n\n\n\n\nfunction _toConsumableArray(arr) {\n  return _arrayWithoutHoles(arr) || _iterableToArray(arr) || _unsupportedIterableToArray(arr) || _nonIterableSpread();\n}\n// CONCATENATED MODULE: ./node_modules/cache-loader/dist/cjs.js??ref--12-0!./node_modules/thread-loader/dist/cjs.js!./node_modules/babel-loader/lib!./node_modules/vuetify-loader/lib/loader.js??ref--19-0!./node_modules/cache-loader/dist/cjs.js??ref--0-0!./node_modules/vue-loader/lib??vue-loader-options!./src/SliderArrow.vue?vue&type=script&lang=js&\n\n\n\n\n/* harmony default export */ var SliderArrowvue_type_script_lang_js_ = ({\n  name: 'SliderArrow',\n  props: [].concat(_toConsumableArray(PROP_KEYS.ARROW), ['type']),\n  render: function render() {\n    var _this = this;\n\n    var h = arguments[0];\n    var classes = {\n      'slick-arrow': true\n    };\n    var clickable = true;\n    var arrow;\n    var option = {\n      currentSlide: this.currentSlide,\n      slideCount: this.slideCount\n    };\n\n    if (this.type === 'previous') {\n      classes['slick-prev'] = true;\n\n      if (!this.infinite && (this.currentSlide === 0 || this.slideCount <= this.slidesToShow)) {\n        classes['slick-disabled'] = true;\n        clickable = false;\n      }\n\n      option.key = '0';\n      arrow = this.prevArrow ? this.prevArrow(option)[0] : h(\"button\", {\n        \"attrs\": {\n          \"type\": \"button\",\n          \"data-role\": \"none\"\n        },\n        \"style\": \"display: block;\"\n      }, [\"Previous\"]);\n    } else {\n      classes['slick-next'] = true;\n\n      if (!canGoNext(this.$props)) {\n        classes['slick-disabled'] = true;\n        clickable = false;\n      }\n\n      option.key = '1';\n      arrow = this.nextArrow ? this.nextArrow(option)[0] : h(\"button\", {\n        \"attrs\": {\n          \"type\": \"button\",\n          \"data-role\": \"none\"\n        },\n        \"style\": \"display: block;\"\n      }, [\"Next\"]);\n    }\n\n    setVNodeData(arrow, 'key', option.key);\n    vNodeUtils_mergeVNodeData(arrow, 'class', classes);\n    vNodeUtils_mergeVNodeData(arrow, 'on', {\n      click: function click() {\n        if (clickable) {\n          _this.$emit('arrowClicked', {\n            message: _this.type\n          });\n        }\n      }\n    });\n    return arrow;\n  }\n});\n// CONCATENATED MODULE: ./src/SliderArrow.vue?vue&type=script&lang=js&\n /* harmony default export */ var src_SliderArrowvue_type_script_lang_js_ = (SliderArrowvue_type_script_lang_js_); \n// EXTERNAL MODULE: ./src/SliderArrow.vue?vue&type=style&index=0&id=21137603&scoped=true&lang=css&\nvar SliderArrowvue_type_style_index_0_id_21137603_scoped_true_lang_css_ = __webpack_require__(\"f013\");\n\n// CONCATENATED MODULE: ./src/SliderArrow.vue\nvar SliderArrow_render, SliderArrow_staticRenderFns\n\n\n\n\n\n/* normalize component */\n\nvar SliderArrow_component = normalizeComponent(\n  src_SliderArrowvue_type_script_lang_js_,\n  SliderArrow_render,\n  SliderArrow_staticRenderFns,\n  false,\n  null,\n  \"21137603\",\n  null\n  \n)\n\n/* harmony default export */ var SliderArrow = (SliderArrow_component.exports);\n// EXTERNAL MODULE: ./node_modules/core-js/modules/es.string.split.js\nvar es_string_split = __webpack_require__(\"1276\");\n\n// CONCATENATED MODULE: ./node_modules/cache-loader/dist/cjs.js??ref--12-0!./node_modules/thread-loader/dist/cjs.js!./node_modules/babel-loader/lib!./node_modules/vuetify-loader/lib/loader.js??ref--19-0!./node_modules/cache-loader/dist/cjs.js??ref--0-0!./node_modules/vue-loader/lib??vue-loader-options!./src/SliderDots.vue?vue&type=script&lang=js&\n\n\n\n\n\n\n\nvar getDotCount = function getDotCount(spec) {\n  var dots;\n\n  if (spec.infinite) {\n    dots = Math.ceil(spec.slideCount / spec.slidesToScroll);\n  } else {\n    dots = Math.ceil((spec.slideCount - spec.slidesToShow) / spec.slidesToScroll) + 1;\n  }\n\n  return dots;\n};\n\n/* harmony default export */ var SliderDotsvue_type_script_lang_js_ = ({\n  name: 'SliderDots',\n  props: PROP_KEYS.DOT,\n  render: function render() {\n    var _this = this;\n\n    var h = arguments[0];\n    var dotCount = getDotCount({\n      slideCount: this.slideCount,\n      slidesToScroll: this.slidesToScroll,\n      slidesToShow: this.slidesToShow,\n      infinite: this.infinite\n    }); // Apply join & split to Array to pre-fill it for IE8\n    //\n    // Credit: http://stackoverflow.com/a/13735425/1849458\n\n    var dots = Array.apply(null, Array(dotCount + 1).join('0').split('')).map(function (x, i) {\n      var leftBound = i * _this.slidesToScroll;\n      var rightBound = i * _this.slidesToScroll + (_this.slidesToScroll - 1);\n      var className = {\n        'slick-active': _this.currentSlide >= leftBound && _this.currentSlide <= rightBound\n      };\n      var dotOptions = {\n        message: 'dots',\n        index: i,\n        slidesToScroll: _this.slidesToScroll,\n        currentSlide: _this.currentSlide\n      };\n      var customPaging = _this.customPaging ? _this.customPaging(i)[0] : h(\"button\", [i + 1]);\n      return h(\"li\", {\n        \"key\": i,\n        \"class\": className,\n        \"on\": {\n          \"click\": function click() {\n            return _this.$emit('dotClicked', dotOptions);\n          }\n        }\n      }, [customPaging]);\n    });\n    var wrapperStyle = {\n      display: 'block'\n    };\n\n    var wrapperClass = _defineProperty({}, this.dotsClass, true);\n\n    return h(\"ul\", {\n      \"style\": wrapperStyle,\n      \"class\": wrapperClass\n    }, [dots]);\n  }\n});\n// CONCATENATED MODULE: ./src/SliderDots.vue?vue&type=script&lang=js&\n /* harmony default export */ var src_SliderDotsvue_type_script_lang_js_ = (SliderDotsvue_type_script_lang_js_); \n// CONCATENATED MODULE: ./src/SliderDots.vue\nvar SliderDots_render, SliderDots_staticRenderFns\n\n\n\n\n/* normalize component */\n\nvar SliderDots_component = normalizeComponent(\n  src_SliderDotsvue_type_script_lang_js_,\n  SliderDots_render,\n  SliderDots_staticRenderFns,\n  false,\n  null,\n  null,\n  null\n  \n)\n\n/* harmony default export */ var SliderDots = (SliderDots_component.exports);\n// CONCATENATED MODULE: ./src/initialState.js\n/* harmony default export */ var initialState = ({\n  animating: false,\n  autoplaying: null,\n  currentDirection: 0,\n  currentLeft: null,\n  currentSlide: 0,\n  direction: 1,\n  dragging: false,\n  edgeDragged: false,\n  initialized: false,\n  lazyLoadedList: [],\n  listHeight: null,\n  listWidth: null,\n  scrolling: false,\n  slideHeight: null,\n  slideWidth: null,\n  swipeLeft: null,\n  swiped: false,\n  // used by swipeEvent. differentites between touch and swipe.\n  swiping: false,\n  touchObject: {\n    startX: 0,\n    startY: 0,\n    curX: 0,\n    curY: 0\n  },\n  trackStyle: {},\n  trackWidth: 0\n});\n// CONCATENATED MODULE: ./node_modules/cache-loader/dist/cjs.js??ref--12-0!./node_modules/thread-loader/dist/cjs.js!./node_modules/babel-loader/lib!./node_modules/vuetify-loader/lib/loader.js??ref--19-0!./node_modules/cache-loader/dist/cjs.js??ref--0-0!./node_modules/vue-loader/lib??vue-loader-options!./src/InnerSlider.vue?vue&type=script&lang=js&\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n/* harmony default export */ var InnerSlidervue_type_script_lang_js_ = ({\n  name: 'InnerSlider',\n  components: {\n    SliderTrack: SliderTrack,\n    SliderArrow: SliderArrow,\n    SliderDots: SliderDots\n  },\n  mixins: [mixinPropsUpdated],\n  inheritAttrs: false,\n  props: _objectSpread2({}, defaultProps_props, {\n    unslick: {\n      type: Boolean,\n      default: false\n    },\n    prevArrow: Function,\n    nextArrow: Function,\n    customPaging: Function\n  }),\n  data: function data() {\n    return _objectSpread2({}, initialState, {\n      currentSlide: this.initialSlide\n    });\n  },\n  computed: {\n    slideCount: function slideCount() {\n      return this.$slots.default.length;\n    },\n    spec: function spec() {\n      return _objectSpread2({}, this.$props, {}, this.$data, {\n        slideCount: this.slideCount\n      });\n    }\n  },\n  created: function created() {\n    // non-reactive data\n    this.callbackTimers = [];\n    this.clickable = true;\n    this.debouncedResize = null;\n    this.ssrInit();\n    this.$parent.$emit('init');\n\n    if (this.lazyLoad) {\n      var slidesToLoad = getOnDemandLazySlides(this.spec);\n\n      if (slidesToLoad.length > 0) {\n        this.lazyLoadedList = this.lazyLoadedList.concat(slidesToLoad);\n        this.$parent.$emit('lazyLoad', slidesToLoad);\n      }\n    }\n  },\n  mounted: function mounted() {\n    var _this = this;\n\n    var spec = _objectSpread2({\n      listRef: this.$refs.list,\n      trackRef: this.$refs.track,\n      children: this.$slots.default\n    }, this.$props);\n\n    this.updateState(spec, true);\n    this.adaptHeight();\n\n    if (this.autoPlay) {\n      this.autoPlay('update');\n    }\n\n    if (this.lazyLoad === 'progressive') {\n      this.lazyLoadTimer = setInterval(this.progressiveLazyLoad, 1000);\n    }\n\n    this.ro = new ResizeObserver_es[\"a\" /* default */](function () {\n      if (_this.animating) {\n        _this.onWindowResized(false); // don't set trackStyle hence don't break animation\n\n\n        _this.callbackTimers.push(setTimeout(function () {\n          return _this.onWindowResized();\n        }, _this.speed));\n      } else {\n        _this.onWindowResized();\n      }\n    });\n    this.ro.observe(this.$refs.list);\n    Array.prototype.forEach.call(this.$refs.list.querySelectorAll('.slick-slide'), function (slide) {\n      slide.onfocus = _this.pauseOnFocus ? _this.onSlideFocus : null;\n      slide.onblur = _this.pauseOnFocus ? _this.onSlideBlur : null;\n    });\n\n    if (window.addEventListener) {\n      window.addEventListener('resize', this.onWindowResized);\n    } else {\n      window.attachEvent('onresize', this.onWindowResized);\n    }\n  },\n  updated: function updated() {\n    this.checkImagesLoad();\n    this.$parent.$emit('reInit');\n\n    if (this.lazyLoad) {\n      var slidesToLoad = getOnDemandLazySlides(_objectSpread2({}, this.$props, {}, this.$data));\n\n      if (slidesToLoad.length > 0) {\n        this.lazyLoadedList = this.lazyLoadedList.concat(slidesToLoad);\n        this.$parent.$emit('lazyLoad', slidesToLoad);\n      }\n    }\n\n    this.adaptHeight();\n  },\n  beforeDestroy: function beforeDestroy() {\n    this.ro.unobserve(this.$refs.list);\n\n    if (this.animationEndCallback) {\n      clearTimeout(this.animationEndCallback);\n    }\n\n    if (this.lazyLoadTimer) {\n      clearInterval(this.lazyLoadTimer);\n    }\n\n    if (this.callbackTimers.length) {\n      this.callbackTimers.forEach(function (timer) {\n        return clearTimeout(timer);\n      });\n      this.callbackTimers = [];\n    }\n\n    if (window.addEventListener) {\n      window.removeEventListener('resize', this.onWindowResized);\n    } else {\n      window.detachEvent('onresize', this.onWindowResized);\n    }\n\n    if (this.autoplayTimer) {\n      clearInterval(this.autoplayTimer);\n    }\n  },\n  methods: {\n    onPropsUpdated: function onPropsUpdated() {\n      var nextProps = this.$props;\n\n      var spec = _objectSpread2({\n        listRef: this.$refs.list,\n        trackRef: this.$refs.track,\n        children: this.$slots.default\n      }, nextProps, {}, this.$data);\n\n      var setTrackStyle = false;\n\n      for (var _i = 0, _Object$keys = Object.keys(this.$props); _i < _Object$keys.length; _i++) {\n        var key = _Object$keys[_i];\n\n        if (!nextProps.hasOwnProperty(key)) {\n          setTrackStyle = true;\n          break;\n        }\n\n        if (_typeof(nextProps[key]) === 'object' || typeof nextProps[key] === 'function') {\n          continue;\n        }\n\n        if (nextProps[key] !== this.$props[key]) {\n          setTrackStyle = true;\n          break;\n        }\n      }\n\n      this.updateState(spec, setTrackStyle);\n\n      if (this.currentSlide >= this.slideCount) {\n        this.changeSlide({\n          message: 'index',\n          index: this.slideCount - nextProps.slidesToShow,\n          currentSlide: this.currentSlide\n        });\n      }\n\n      if (nextProps.autoplay) {\n        this.autoPlay('update');\n      } else {\n        this.pause('paused');\n      }\n    },\n    updateState: function updateState(spec, setTrackStyle) {\n      var updatedState = initializedState(spec);\n      spec = _objectSpread2({}, spec, {}, updatedState, {\n        slideIndex: updatedState.currentSlide\n      });\n      var targetLeft = getTrackLeft(spec);\n      spec = _objectSpread2({}, spec, {\n        left: targetLeft\n      });\n      var trackStyle = innerSliderUtils_getTrackCSS(spec);\n\n      if (setTrackStyle || this.slideCount !== spec.children.length) {\n        updatedState['trackStyle'] = trackStyle;\n      }\n\n      Object.assign(this.$data, updatedState);\n    },\n    adaptHeight: function adaptHeight() {\n      if (this.adaptiveHeight && this.$refs.list) {\n        var elem = this.$refs.list.querySelector(\"[data-index=\\\"\".concat(this.currentSlide, \"\\\"]\"));\n        this.$refs.list.style.height = getHeight(elem) + 'px';\n      }\n    },\n    ssrInit: function ssrInit() {\n      var preClones = getPreClones(this.spec);\n      var postClones = getPostClones(this.spec);\n\n      if (this.variableWidth) {\n        var trackWidth = [],\n            trackLeft = [];\n        var childrenWidths = [];\n        this.$slots.default.forEach(function (child) {\n          var _getStyle = vNodeUtils_getStyle(child),\n              width = _getStyle.width;\n\n          childrenWidths.push(width);\n          trackWidth.push(width);\n        });\n\n        for (var i = 0; i < preClones; i++) {\n          trackLeft.push(childrenWidths[childrenWidths.length - 1 - i]);\n          trackWidth.push(childrenWidths[childrenWidths.length - 1 - i]);\n        }\n\n        for (var _i2 = 0; _i2 < postClones; _i2++) {\n          trackWidth.push(childrenWidths[_i2]);\n        }\n\n        for (var _i3 = 0; _i3 < this.currentSlide; _i3++) {\n          trackLeft.push(childrenWidths[_i3]);\n        } // filter undefined\n\n\n        trackWidth = trackWidth.filter(function (o) {\n          return o;\n        });\n        trackLeft = trackLeft.filter(function (o) {\n          return o;\n        });\n        var trackStyle = {\n          width: \"calc(\".concat(trackWidth.join(' + '), \")\"),\n          left: \"calc(\".concat(trackLeft.map(function (o) {\n            return \"-\".concat(o);\n          }).join(' + '), \")\")\n        };\n\n        if (this.centerMode) {\n          var currentWidth = childrenWidths[this.currentSlide];\n          trackStyle.left = \"calc(\".concat(trackLeft.map(function (o) {\n            return \"-\".concat(o);\n          }).join(' + '), \" + (100% - \").concat(currentWidth, \") / 2 )\");\n        }\n\n        this.trackStyle = trackStyle;\n      } else {\n        var slideCount = preClones + postClones + this.slideCount;\n\n        var _trackWidth = 100 / this.slidesToShow * slideCount;\n\n        var slideWidth = 100 / slideCount;\n\n        var _trackLeft = -slideWidth * (preClones + this.currentSlide) * _trackWidth / 100;\n\n        if (this.centerMode) {\n          _trackLeft += (100 - slideWidth * _trackWidth / 100) / 2;\n        }\n\n        this.slideWidth = slideWidth + '%';\n        this.trackStyle = {\n          width: _trackWidth + '%',\n          left: _trackLeft + '%'\n        };\n      }\n    },\n    slideHandler: function slideHandler(index) {\n      var _this2 = this;\n\n      var dontAnimate = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : false;\n      var asNavFor = this.asNavFor,\n          speed = this.speed; // capture currentslide before state is updated\n\n      var currentSlide = this.currentSlide;\n\n      var _slideHandler2 = innerSliderUtils_slideHandler(_objectSpread2({\n        index: index\n      }, this.$props, {}, this.$data, {\n        trackRef: this.$refs.track,\n        useCSS: this.useCSS && !dontAnimate\n      })),\n          state = _slideHandler2.state,\n          nextState = _slideHandler2.nextState;\n\n      if (!state) return;\n      this.$parent.$emit('beforeChange', currentSlide, state.currentSlide);\n      var slidesToLoad = state.lazyLoadedList.filter(function (value) {\n        return _this2.lazyLoadedList.indexOf(value) < 0;\n      });\n\n      if (slidesToLoad.length) {\n        this.$parent.$emit('lazyLoad', slidesToLoad);\n      }\n\n      Object.assign(this.$data, state);\n\n      if (asNavFor) {\n        asNavFor.goTo(index);\n      }\n\n      if (!nextState) return;\n      this.animationEndCallback = setTimeout(function () {\n        var animating = nextState.animating,\n            firstBatch = _objectWithoutProperties(nextState, [\"animating\"]);\n\n        Object.assign(_this2.$data, firstBatch);\n\n        _this2.callbackTimers.push(setTimeout(function () {\n          _this2.animating = animating;\n        }, 10));\n\n        _this2.$parent.$emit('afterChange', state.currentSlide); // delete this.animationEndCallback\n\n\n        _this2.animationEndCallback = undefined;\n      }, speed);\n    },\n    onWindowResized: function onWindowResized(setTrackStyle) {\n      var _this3 = this;\n\n      if (this.debouncedResize) this.debouncedResize.cancel();\n      this.debouncedResize = lodash_debounce_default()(function () {\n        return _this3.resizeWindow(setTrackStyle);\n      }, 50);\n      this.debouncedResize();\n    },\n    resizeWindow: function resizeWindow() {\n      var setTrackStyle = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : true;\n\n      if (!(this.$refs.track && this.$refs.track.$el)) {\n        return;\n      }\n\n      var spec = _objectSpread2({\n        listRef: this.$refs.list,\n        trackRef: this.$refs.track,\n        children: this.$slots.default\n      }, this.$props, {}, this.$data);\n\n      this.updateState(spec, setTrackStyle);\n\n      if (this.autoplay) {\n        this.autoPlay('update');\n      } else {\n        this.pause('paused');\n      } // animating state should be cleared while resizing, otherwise autoplay stops working\n\n\n      this.animating = false;\n      clearTimeout(this.animationEndCallback); // delete this.animationEndCallback\n\n      this.animationEndCallback = undefined;\n    },\n    checkImagesLoad: function checkImagesLoad() {\n      var _this4 = this;\n\n      var images = this.$refs.list.querySelectorAll('.slick-slide img');\n      var imagesCount = images.length,\n          loadedCount = 0;\n      Array.prototype.forEach.call(images, function (image) {\n        var handler = function handler() {\n          return ++loadedCount && loadedCount >= imagesCount && _this4.onWindowResized();\n        };\n\n        if (!image.onclick) {\n          image.onclick = function () {\n            return image.parentNode.focus();\n          };\n        } else {\n          var prevClickHandler = image.onclick;\n\n          image.onclick = function () {\n            prevClickHandler();\n            image.parentNode.focus();\n          };\n        }\n\n        if (!image.onload) {\n          if (_this4.lazyLoad) {\n            image.onload = function () {\n              _this4.adaptHeight();\n\n              _this4.callbackTimers.push(setTimeout(_this4.onWindowResized, _this4.speed));\n            };\n          } else {\n            image.onload = handler;\n\n            image.onerror = function () {\n              handler();\n\n              _this4.$parent.$emit('lazyLoadError');\n            };\n          }\n        }\n      });\n    },\n    progressiveLazyLoad: function progressiveLazyLoad() {\n      var slidesToLoad = [];\n\n      var spec = _objectSpread2({}, this.$props, {}, this.$data);\n\n      for (var index = this.currentSlide; index < this.slideCount + getPostClones(spec); index++) {\n        if (this.lazyLoadedList.indexOf(index) < 0) {\n          slidesToLoad.push(index);\n          break;\n        }\n      }\n\n      for (var _index = this.currentSlide - 1; _index >= -getPreClones(spec); _index--) {\n        if (this.lazyLoadedList.indexOf(_index) < 0) {\n          slidesToLoad.push(_index);\n          break;\n        }\n      }\n\n      if (slidesToLoad.length > 0) {\n        this.lazyLoadedList = this.lazyLoadedList.concat(slidesToLoad);\n        this.$parent.$emit('lazyLoad', slidesToLoad);\n      } else {\n        if (this.lazyLoadTimer) {\n          clearInterval(this.lazyLoadTimer); // delete this.lazyLoadTimer;\n\n          this.lazyLoadTimer = undefined;\n        }\n      }\n    },\n    clickHandler: function clickHandler(e) {\n      if (this.clickable === false) {\n        e.stopPropagation();\n        e.preventDefault();\n      }\n\n      this.clickable = true;\n    },\n    keyHandler: function keyHandler(e) {\n      var dir = innerSliderUtils_keyHandler(e, this.accessibility, this.rtl);\n\n      dir !== '' && this.changeSlide({\n        message: dir\n      });\n    },\n    changeSlide: function changeSlide(options) {\n      var dontAnimate = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : false;\n\n      var spec = _objectSpread2({}, this.$props, {}, this.$data);\n\n      var targetSlide = innerSliderUtils_changeSlide(spec, options);\n\n      if (targetSlide !== 0 && !targetSlide) return;\n\n      if (dontAnimate === true) {\n        this.slideHandler(targetSlide, dontAnimate);\n      } else {\n        this.slideHandler(targetSlide);\n      }\n    },\n    swipeStart: function swipeStart(e) {\n      if (this.verticalSwiping) {\n        this.disableBodyScroll();\n      }\n\n      var state = innerSliderUtils_swipeStart(e, this.swipe, this.draggable);\n\n      if (state !== '') {\n        Object.assign(this.$data, state);\n      }\n    },\n    swipeMove: function swipeMove(e) {\n      var _this5 = this;\n\n      var state = innerSliderUtils_swipeMove(e, _objectSpread2({}, this.$props, {}, this.$data, {\n        trackRef: this.$refs.track,\n        listRef: this.$refs.list,\n        slideIndex: this.currentSlide,\n        onEdge: function onEdge(e) {\n          return _this5.$parent.$emit('edge', e);\n        },\n        swipeEvent: function swipeEvent(e) {\n          return _this5.$parent.$emit('swipe', e);\n        }\n      }));\n\n      if (!state) return;\n\n      if (state['swiping']) {\n        this.clickable = false;\n      }\n\n      Object.assign(this.$data, state);\n    },\n    swipeEnd: function swipeEnd(e) {\n      var state = innerSliderUtils_swipeEnd(e, _objectSpread2({}, this.$props, {}, this.$data, {\n        trackRef: this.$refs.track,\n        listRef: this.$refs.list,\n        slideIndex: this.currentSlide\n      }));\n\n      if (!state) return;\n      var triggerSlideHandler = state['triggerSlideHandler']; // delete state[\"triggerSlideHandler\"];\n\n      this.triggerSlideHandler = undefined;\n      Object.assign(this.$data, state);\n      if (triggerSlideHandler === undefined) return;\n      this.slideHandler(triggerSlideHandler);\n\n      if (this.verticalSwiping) {\n        this.enableBodyScroll();\n      }\n    },\n    prev: function prev() {\n      var _this6 = this;\n\n      // this and fellow methods are wrapped in setTimeout\n      // to make sure initialize setState has happened before\n      // any of such methods are called\n      this.callbackTimers.push(setTimeout(function () {\n        return _this6.changeSlide({\n          message: 'previous'\n        });\n      }, 0));\n    },\n    next: function next() {\n      var _this7 = this;\n\n      this.callbackTimers.push(setTimeout(function () {\n        return _this7.changeSlide({\n          message: 'next'\n        });\n      }, 0));\n    },\n    goTo: function goTo(slide) {\n      var _this8 = this;\n\n      var dontAnimate = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : false;\n      slide = Number(slide);\n      if (isNaN(slide)) return '';\n      this.callbackTimers.push(setTimeout(function () {\n        return _this8.changeSlide({\n          message: 'index',\n          index: slide,\n          currentSlide: _this8.currentSlide\n        }, dontAnimate);\n      }, 0));\n    },\n    play: function play() {\n      var nextIndex;\n\n      if (this.rtl) {\n        nextIndex = this.currentSlide - this.slidesToScroll;\n      } else {\n        if (canGoNext(_objectSpread2({}, this.$props, {}, this.$data))) {\n          nextIndex = this.currentSlide + this.slidesToScroll;\n        } else {\n          return false;\n        }\n      }\n\n      this.slideHandler(nextIndex);\n    },\n    autoPlay: function autoPlay(playType) {\n      if (this.autoplayTimer) {\n        clearInterval(this.autoplayTimer);\n      }\n\n      var autoplaying = this.autoplaying;\n\n      if (playType === 'update') {\n        if (autoplaying === 'hovered' || autoplaying === 'focused' || autoplaying === 'paused') {\n          return;\n        }\n      } else if (playType === 'leave') {\n        if (autoplaying === 'paused' || autoplaying === 'focused') {\n          return;\n        }\n      } else if (playType === 'blur') {\n        if (autoplaying === 'paused' || autoplaying === 'hovered') {\n          return;\n        }\n      }\n\n      this.autoplayTimer = setInterval(this.play, this.autoplaySpeed + 50);\n      this.autoplaying = 'playing';\n    },\n    pause: function pause(pauseType) {\n      if (this.autoplayTimer) {\n        clearInterval(this.autoplayTimer);\n        this.autoplayTimer = null;\n      }\n\n      var autoplaying = this.autoplaying;\n\n      if (pauseType === 'paused') {\n        this.autoplaying = 'paused';\n      } else if (pauseType === 'focused') {\n        if (autoplaying === 'hovered' || autoplaying === 'playing') {\n          this.autoplaying = 'focused';\n        }\n      } else {\n        // pauseType  is 'hovered'\n        if (autoplaying === 'playing') {\n          this.autoplaying = 'hovered';\n        }\n      }\n    },\n    onDotsOver: function onDotsOver() {\n      this.autoplay && this.pause('hovered');\n    },\n    onDotsLeave: function onDotsLeave() {\n      this.autoplay && this.autoplaying === 'hovered' && this.autoPlay('leave');\n    },\n    onTrackOver: function onTrackOver() {\n      this.autoplay && this.pause('hovered');\n    },\n    onTrackLeave: function onTrackLeave() {\n      this.autoplay && this.autoplaying === 'hovered' && this.autoPlay('leave');\n    },\n    onSlideFocus: function onSlideFocus() {\n      this.autoplay && this.pause('focused');\n    },\n    onSlideBlur: function onSlideBlur() {\n      this.autoplay && this.autoplaying === 'focused' && this.autoPlay('blur');\n    },\n    selectHandler: function selectHandler(options) {\n      if (this.focusOnSelect) {\n        this.changeSlide(options);\n      }\n    }\n  },\n  render: function render() {\n    var h = arguments[0];\n    var className = {\n      'slick-slider': true,\n      'slick-initialized': true,\n      'slick-vertical': this.vertical\n    };\n    var trackProps = extractObject(this.spec, PROP_KEYS.TRACK);\n    trackProps = filterUndefined(_objectSpread2({}, trackProps));\n    var pauseOnHover = this.pauseOnHover;\n    var trackNativeOn = filterUndefined({\n      mouseenter: pauseOnHover ? this.onTrackOver : undefined,\n      mouseover: pauseOnHover ? this.onTrackOver : undefined,\n      mouseleave: pauseOnHover ? this.onTrackLeave : undefined\n    });\n    var dots;\n\n    if (this.dots === true && this.slideCount >= this.slidesToShow) {\n      var dotProps = extractObject(this.spec, PROP_KEYS.DOT);\n      var pauseOnDotsHover = this.pauseOnDotsHover;\n      var dotNativeOn = filterUndefined({\n        mouseenter: pauseOnDotsHover ? this.onDotsLeave : undefined,\n        mouseover: pauseOnDotsHover ? this.onDotsOver : undefined,\n        mouseleave: pauseOnDotsHover ? this.onDotsLeave : undefined\n      });\n      dots = h(SliderDots, {\n        \"props\": _objectSpread2({}, dotProps),\n        \"nativeOn\": _objectSpread2({}, dotNativeOn),\n        \"on\": {\n          \"dotClicked\": this.changeSlide\n        }\n      });\n    }\n\n    var prevArrow, nextArrow;\n    var arrowProps = extractObject(this.spec, PROP_KEYS.ARROW);\n\n    if (this.arrows) {\n      prevArrow = h(SliderArrow, {\n        \"props\": _objectSpread2({}, _objectSpread2({}, arrowProps, {\n          type: 'previous'\n        })),\n        \"on\": {\n          \"arrowClicked\": this.changeSlide\n        }\n      });\n      nextArrow = h(SliderArrow, {\n        \"props\": _objectSpread2({}, _objectSpread2({}, arrowProps, {\n          type: 'next'\n        })),\n        \"on\": {\n          \"arrowClicked\": this.changeSlide\n        }\n      });\n    }\n\n    var verticalHeightStyle = {};\n\n    if (this.vertical) {\n      verticalHeightStyle = {\n        height: \"\".concat(this.listHeight, \"px\")\n      };\n    }\n\n    var centerPaddingStyle = {};\n\n    if (this.vertical === false) {\n      if (this.centerMode === true) {\n        centerPaddingStyle = {\n          padding: '0px ' + this.centerPadding\n        };\n      }\n    } else {\n      if (this.centerMode === true) {\n        centerPaddingStyle = {\n          padding: this.centerPadding + ' 0px'\n        };\n      }\n    }\n\n    var listStyle = _objectSpread2({}, this.$parent.$vnode.data.style);\n\n    if (!this.unslick) {\n      listStyle = _objectSpread2({}, listStyle, {}, filterUndefinedOrNull(verticalHeightStyle), {}, centerPaddingStyle);\n    }\n\n    var accessibility = this.accessibility,\n        dragging = this.dragging,\n        touchMove = this.touchMove;\n    var listOn = filterUndefined({\n      click: this.clickHandler,\n      mousedown: touchMove ? this.swipeStart : undefined,\n      mousemove: dragging && touchMove ? this.swipeMove : undefined,\n      mouseup: touchMove ? this.swipeEnd : undefined,\n      mouseleave: dragging && touchMove ? this.swipeEnd : undefined,\n      touchstart: touchMove ? this.swipeStart : undefined,\n      touchmove: dragging && touchMove ? this.swipeMove : undefined,\n      touchend: touchMove ? this.swipeEnd : undefined,\n      touchcancel: dragging && touchMove ? this.swipeEnd : undefined,\n      keydown: accessibility ? this.keyHandler : undefined\n    });\n    return h(\"div\", {\n      \"class\": className,\n      \"attrs\": {\n        \"dir\": !this.unslick ? 'ltr' : false\n      }\n    }, [!this.unslick ? prevArrow : '', h(\"div\", {\n      \"ref\": \"list\",\n      \"class\": 'slick-list',\n      \"on\": _objectSpread2({}, listOn),\n      \"style\": listStyle\n    }, [h(SliderTrack, {\n      \"ref\": \"track\",\n      \"props\": _objectSpread2({}, trackProps),\n      \"nativeOn\": _objectSpread2({}, trackNativeOn),\n      \"on\": {\n        \"childClicked\": this.selectHandler\n      }\n    }, [this.$slots.default])]), !this.unslick ? nextArrow : '', !this.unslick ? dots : '']);\n  }\n});\n// CONCATENATED MODULE: ./src/InnerSlider.vue?vue&type=script&lang=js&\n /* harmony default export */ var src_InnerSlidervue_type_script_lang_js_ = (InnerSlidervue_type_script_lang_js_); \n// EXTERNAL MODULE: ./src/InnerSlider.vue?vue&type=style&index=0&id=3d1a4f76&scoped=true&lang=css&\nvar InnerSlidervue_type_style_index_0_id_3d1a4f76_scoped_true_lang_css_ = __webpack_require__(\"eaf9\");\n\n// CONCATENATED MODULE: ./src/InnerSlider.vue\nvar InnerSlider_render, InnerSlider_staticRenderFns\n\n\n\n\n\n/* normalize component */\n\nvar InnerSlider_component = normalizeComponent(\n  src_InnerSlidervue_type_script_lang_js_,\n  InnerSlider_render,\n  InnerSlider_staticRenderFns,\n  false,\n  null,\n  \"3d1a4f76\",\n  null\n  \n)\n\n/* harmony default export */ var InnerSlider = (InnerSlider_component.exports);\n// CONCATENATED MODULE: ./node_modules/cache-loader/dist/cjs.js??ref--12-0!./node_modules/thread-loader/dist/cjs.js!./node_modules/babel-loader/lib!./node_modules/vuetify-loader/lib/loader.js??ref--19-0!./node_modules/cache-loader/dist/cjs.js??ref--0-0!./node_modules/vue-loader/lib??vue-loader-options!./src/VueSlickCarousel.vue?vue&type=script&lang=js&\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nvar enquire = canUseDOM() && __webpack_require__(\"8e95\");\n\n/* harmony default export */ var VueSlickCarouselvue_type_script_lang_js_ = ({\n  name: 'VueSlickCarousel',\n  components: {\n    InnerSlider: InnerSlider\n  },\n  mixins: [mixinPropsUpdated],\n  inheritAttrs: false,\n  props: defaultProps_props,\n  data: function data() {\n    return {\n      breakpoint: null\n    };\n  },\n  computed: {\n    settings: function settings() {\n      var _this = this;\n\n      var props = filterUndefined(this.$props);\n      var settings;\n      var newProps;\n\n      if (this.breakpoint) {\n        newProps = this.responsive.filter(function (resp) {\n          return resp.breakpoint === _this.breakpoint;\n        });\n        settings = newProps[0].settings === 'unslick' ? 'unslick' : _objectSpread2({}, defaultValues, {}, props, {}, newProps[0].settings);\n      } else {\n        settings = _objectSpread2({}, defaultValues, {}, props);\n      } // force scrolling by one if centerMode is on\n\n\n      if (settings.centerMode) {\n        if (settings.slidesToScroll > 1 && \"production\" !== 'production') {\n          // eslint-disable-next-line no-console\n          console.warn(\"slidesToScroll should be equal to 1 in centerMode, you are using \".concat(settings.slidesToScroll));\n        }\n\n        settings.slidesToScroll = 1;\n      } // force showing one slide and scrolling by one if the fade mode is on\n\n\n      if (settings.fade) {\n        if (settings.slidesToShow > 1 && \"production\" !== 'production') {\n          // eslint-disable-next-line no-console\n          console.warn(\"slidesToShow should be equal to 1 when fade is true, you're using \".concat(settings.slidesToShow));\n        }\n\n        if (settings.slidesToScroll > 1 && \"production\" !== 'production') {\n          // eslint-disable-next-line no-console\n          console.warn(\"slidesToScroll should be equal to 1 when fade is true, you're using \".concat(settings.slidesToScroll));\n        }\n\n        settings.slidesToShow = 1;\n        settings.slidesToScroll = 1;\n      } // rows and slidesPerRow logic is handled here\n\n\n      if (settings.variableWidth && (settings.rows > 1 || settings.slidesPerRow > 1)) {\n        // eslint-disable-next-line no-console\n        console.warn(\"variableWidth is not supported in case of rows > 1 or slidesPerRow > 1\");\n        settings.variableWidth = false;\n      }\n\n      return settings;\n    }\n  },\n  created: function created() {\n    this.makeBreakpoints();\n  },\n  beforeDestroy: function beforeDestroy() {\n    this.clearBreakpoints();\n  },\n  methods: {\n    prev: function prev() {\n      this.$refs.innerSlider.prev();\n    },\n    next: function next() {\n      this.$refs.innerSlider.next();\n    },\n    goTo: function goTo(slide) {\n      var dontAnimate = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : false;\n      this.$refs.innerSlider.goTo(slide, dontAnimate);\n    },\n    pause: function pause() {\n      this.$refs.innerSlider.pause('paused');\n    },\n    play: function play() {\n      this.$refs.innerSlider.autoPlay('play');\n    },\n    onPropsUpdated: function onPropsUpdated() {\n      this.clearBreakpoints();\n      this.makeBreakpoints();\n    },\n    clearBreakpoints: function clearBreakpoints() {\n      this.responsiveMediaHandlers.forEach(function (obj) {\n        return enquire.unregister(obj.query, obj.handler);\n      });\n      this.responsiveMediaHandlers = [];\n    },\n    media: function media(query, handler) {\n      // javascript handler for  css media query\n      // when not using server side rendering\n      if (!canUseDOM()) {\n        return;\n      }\n\n      enquire.register(query, handler);\n      this.responsiveMediaHandlers.push({\n        query: query,\n        handler: handler\n      });\n    },\n    makeBreakpoints: function makeBreakpoints() {\n      var _this2 = this;\n\n      this.breakpoint = null;\n      this.responsiveMediaHandlers = []; // handles responsive breakpoints\n\n      if (this.responsive) {\n        var breakpoints = this.responsive.map(function (breakpt) {\n          return breakpt.breakpoint;\n        }); // sort them in increasing order of their numerical value\n\n        breakpoints.sort(function (x, y) {\n          return x - y;\n        });\n        breakpoints.forEach(function (breakpoint, index) {\n          // media query for each breakpoint\n          var mediaQuery = json2mq_default()({\n            minWidth: index === 0 ? 0 : breakpoints[index - 1] + 1,\n            maxWidth: breakpoint\n          });\n\n          _this2.media(mediaQuery, function () {\n            _this2.breakpoint = breakpoint;\n          });\n        }); // Register media query for full screen. Need to support resize from small to large\n        // convert javascript object to media query string\n\n        var query = json2mq_default()({\n          minWidth: breakpoints.slice(-1)[0]\n        });\n        this.media(query, function () {\n          _this2.breakpoint = null;\n        });\n      }\n    }\n  },\n  render: function render() {\n    var h = arguments[0];\n    var settings = this.settings;\n    var children = this.$slots.default || [];\n\n    if (settings === 'unslick') {\n      return h(\"div\", {\n        \"class\": \"regular slider\"\n      }, [children]);\n    }\n\n    settings.prevArrow = this.$scopedSlots.prevArrow;\n    settings.nextArrow = this.$scopedSlots.nextArrow;\n    settings.customPaging = this.$scopedSlots.customPaging;\n    children = children.filter(function (child) {\n      return !!child.tag;\n    });\n    var newChildren = [];\n    var currentWidth = null;\n\n    for (var i = 0; i < children.length; i += settings.rows * settings.slidesPerRow) {\n      var newSlide = [];\n\n      for (var j = i; j < i + settings.rows * settings.slidesPerRow; j += settings.slidesPerRow) {\n        var row = [];\n\n        for (var k = j; k < j + settings.slidesPerRow; k += 1) {\n          if (settings.variableWidth && vNodeUtils_getStyle(children[k])) {\n            currentWidth = vNodeUtils_getStyle(children[k]).width;\n          }\n\n          if (k >= children.length) break;\n          var clonedVNode = cloneVNode(children[k]);\n          setVNodeData(clonedVNode, 'key', 100 * i + 10 * j + k);\n          vNodeUtils_mergeVNodeData(clonedVNode, 'attrs', {\n            tabIndex: -1\n          });\n          vNodeUtils_mergeVNodeData(clonedVNode, 'style', {\n            width: \"\".concat(100 / settings.slidesPerRow, \"%\"),\n            display: 'inline-block'\n          });\n          row.push(clonedVNode);\n        }\n\n        newSlide.push(h(\"div\", {\n          \"key\": 10 * i + j\n        }, [row]));\n      }\n\n      if (settings.variableWidth) {\n        newChildren.push(h(\"div\", {\n          \"key\": i,\n          \"style\": {\n            width: currentWidth\n          }\n        }, [newSlide]));\n      } else {\n        newChildren.push(h(\"div\", {\n          \"key\": i\n        }, [newSlide]));\n      }\n    }\n\n    if (newChildren.length <= settings.slidesToShow) {\n      settings.unslick = true;\n    }\n\n    return h(InnerSlider, {\n      \"ref\": \"innerSlider\",\n      \"props\": _objectSpread2({}, settings),\n      \"key\": Object.values(settings).join('')\n    }, [newChildren]);\n  }\n});\n// CONCATENATED MODULE: ./src/VueSlickCarousel.vue?vue&type=script&lang=js&\n /* harmony default export */ var src_VueSlickCarouselvue_type_script_lang_js_ = (VueSlickCarouselvue_type_script_lang_js_); \n// CONCATENATED MODULE: ./src/VueSlickCarousel.vue\nvar VueSlickCarousel_render, VueSlickCarousel_staticRenderFns\n\n\n\n\n/* normalize component */\n\nvar VueSlickCarousel_component = normalizeComponent(\n  src_VueSlickCarouselvue_type_script_lang_js_,\n  VueSlickCarousel_render,\n  VueSlickCarousel_staticRenderFns,\n  false,\n  null,\n  null,\n  null\n  \n)\n\n/* harmony default export */ var VueSlickCarousel = (VueSlickCarousel_component.exports);\n// CONCATENATED MODULE: ./node_modules/@vue/cli-service/lib/commands/build/entry-lib.js\n\n\n/* harmony default export */ var entry_lib = __webpack_exports__[\"default\"] = (VueSlickCarousel);\n\n\n\n/***/ }),\n\n/***/ \"fb6a\":\n/***/ (function(module, exports, __webpack_require__) {\n\n\"use strict\";\n\nvar $ = __webpack_require__(\"23e7\");\nvar isObject = __webpack_require__(\"861d\");\nvar isArray = __webpack_require__(\"e8b5\");\nvar toAbsoluteIndex = __webpack_require__(\"23cb\");\nvar toLength = __webpack_require__(\"50c4\");\nvar toIndexedObject = __webpack_require__(\"fc6a\");\nvar createProperty = __webpack_require__(\"8418\");\nvar wellKnownSymbol = __webpack_require__(\"b622\");\nvar arrayMethodHasSpeciesSupport = __webpack_require__(\"1dde\");\nvar arrayMethodUsesToLength = __webpack_require__(\"ae40\");\n\nvar HAS_SPECIES_SUPPORT = arrayMethodHasSpeciesSupport('slice');\nvar USES_TO_LENGTH = arrayMethodUsesToLength('slice', { ACCESSORS: true, 0: 0, 1: 2 });\n\nvar SPECIES = wellKnownSymbol('species');\nvar nativeSlice = [].slice;\nvar max = Math.max;\n\n// `Array.prototype.slice` method\n// https://tc39.github.io/ecma262/#sec-array.prototype.slice\n// fallback for not array-like ES3 strings and DOM objects\n$({ target: 'Array', proto: true, forced: !HAS_SPECIES_SUPPORT || !USES_TO_LENGTH }, {\n  slice: function slice(start, end) {\n    var O = toIndexedObject(this);\n    var length = toLength(O.length);\n    var k = toAbsoluteIndex(start, length);\n    var fin = toAbsoluteIndex(end === undefined ? length : end, length);\n    // inline `ArraySpeciesCreate` for usage native `Array#slice` where it's possible\n    var Constructor, result, n;\n    if (isArray(O)) {\n      Constructor = O.constructor;\n      // cross-realm fallback\n      if (typeof Constructor == 'function' && (Constructor === Array || isArray(Constructor.prototype))) {\n        Constructor = undefined;\n      } else if (isObject(Constructor)) {\n        Constructor = Constructor[SPECIES];\n        if (Constructor === null) Constructor = undefined;\n      }\n      if (Constructor === Array || Constructor === undefined) {\n        return nativeSlice.call(O, k, fin);\n      }\n    }\n    result = new (Constructor === undefined ? Array : Constructor)(max(fin - k, 0));\n    for (n = 0; k < fin; k++, n++) if (k in O) createProperty(result, n, O[k]);\n    result.length = n;\n    return result;\n  }\n});\n\n\n/***/ }),\n\n/***/ \"fc6a\":\n/***/ (function(module, exports, __webpack_require__) {\n\n// toObject with fallback for non-array-like ES3 strings\nvar IndexedObject = __webpack_require__(\"44ad\");\nvar requireObjectCoercible = __webpack_require__(\"1d80\");\n\nmodule.exports = function (it) {\n  return IndexedObject(requireObjectCoercible(it));\n};\n\n\n/***/ }),\n\n/***/ \"fdb2\":\n/***/ (function(module, exports, __webpack_require__) {\n\n// extracted by mini-css-extract-plugin\n\n/***/ }),\n\n/***/ \"fdbc\":\n/***/ (function(module, exports) {\n\n// iterable DOM collections\n// flag - `iterable` interface - 'entries', 'keys', 'values', 'forEach' methods\nmodule.exports = {\n  CSSRuleList: 0,\n  CSSStyleDeclaration: 0,\n  CSSValueList: 0,\n  ClientRectList: 0,\n  DOMRectList: 0,\n  DOMStringList: 0,\n  DOMTokenList: 1,\n  DataTransferItemList: 0,\n  FileList: 0,\n  HTMLAllCollection: 0,\n  HTMLCollection: 0,\n  HTMLFormElement: 0,\n  HTMLSelectElement: 0,\n  MediaList: 0,\n  MimeTypeArray: 0,\n  NamedNodeMap: 0,\n  NodeList: 1,\n  PaintRequestList: 0,\n  Plugin: 0,\n  PluginArray: 0,\n  SVGLengthList: 0,\n  SVGNumberList: 0,\n  SVGPathSegList: 0,\n  SVGPointList: 0,\n  SVGStringList: 0,\n  SVGTransformList: 0,\n  SourceBufferList: 0,\n  StyleSheetList: 0,\n  TextTrackCueList: 0,\n  TextTrackList: 0,\n  TouchList: 0\n};\n\n\n/***/ }),\n\n/***/ \"fdbf\":\n/***/ (function(module, exports, __webpack_require__) {\n\nvar NATIVE_SYMBOL = __webpack_require__(\"4930\");\n\nmodule.exports = NATIVE_SYMBOL\n  // eslint-disable-next-line no-undef\n  && !Symbol.sham\n  // eslint-disable-next-line no-undef\n  && typeof Symbol.iterator == 'symbol';\n\n\n/***/ })\n\n/******/ })[\"default\"];\n});\n//# sourceMappingURL=vue-slick-carousel.umd.js.map","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../node_modules/css-loader/dist/runtime/api.js\");\nvar ___CSS_LOADER_AT_RULE_IMPORT_0___ = require(\"-!../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!vue-js-modal/dist/styles.css\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\nexports.i(___CSS_LOADER_AT_RULE_IMPORT_0___);\n// Module\nexports.push([module.id, \".bx--dropdown{border-bottom:none}.logo-library{font-family:IBM Plex Sans,Helvetica Neue,Arial,sans-serif!important}.grid--background{background-color:#f4f4f4;height:79vh}.cv-grid-row__thumbnails{overflow-y:scroll;overflow-x:hidden;height:87%}.cv-grid-story__center{margin-left:50%}.error-notification{position:absolute!important;right:0;z-index:10;margin-top:49px!important}.loader{bottom:0;background-color:#fff;margin-left:45%}.deleteLoader,.loader{position:absolute}.vm--container{z-index:10000}.logo-library .bx--grid{max-width:none;padding-right:32px;padding-left:32px}.logo-library .bx--btn-set .bx--btn{max-width:50%}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","export * from \"-!../../../../node_modules/vue-style-loader/index.js??ref--7-oneOf-1-0!../../../../node_modules/css-loader/dist/cjs.js??ref--7-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--7-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--7-oneOf-1-3!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./SmallDetailsLoader.vue?vue&type=style&index=1&id=2c7c02d0&prod&scoped=true&lang=css\"","export * from \"-!../../../node_modules/vue-style-loader/index.js??ref--7-oneOf-1-0!../../../node_modules/css-loader/dist/cjs.js??ref--7-oneOf-1-1!../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../node_modules/postcss-loader/src/index.js??ref--7-oneOf-1-2!../../../node_modules/postcss-loader/src/index.js??ref--7-oneOf-1-3!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./QuestionAboutWhite.vue?vue&type=style&index=1&id=04338b07&prod&lang=css\"","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PinturaSidebarHeader.vue?vue&type=style&index=0&id=35a0c7f2&prod&lang=scss\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"4d64a4e6\", content, shadowRoot)\n};","export * from \"-!../../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./FullDesign.vue?vue&type=style&index=0&id=54f66ff8&prod&lang=scss\"","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".lanyard-panel-options-divider{margin-top:16px}.action-description,.lanyard-panel-options-divider{border-bottom-color:#e0e0e0;border-bottom-style:solid;border-bottom-width:1px}.action-description{height:109px;width:239px;padding-top:10px;padding-bottom:10px;padding-left:35px;padding-right:35px;background-color:#f4f4f4}.action-description__icons{display:flex;flex-direction:row;border-width:1px;border-color:rgba(0,0,0,.2);border-style:dotted;padding:8px;margin-top:8px;margin-bottom:8px}.action-description__image{margin-right:8px;width:16px;height:16px}.d-flex{display:flex}.lanyard-panel-options__option{margin:16px 16px;display:flex;flex-direction:column}.lanyard-panel-options__option--label{margin-bottom:6px;font-size:12px;color:#161616;font-weight:400}.lanyard-panel-options__option--label--desc{margin-bottom:6px;font-size:12px;font-weight:400;color:#525252;margin-top:5px;margin-bottom:10px}.lanyard-panel-options__save-settings-button{margin:16px 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.PinturaPickerKnobController{position:absolute;left:0;top:0;right:0;bottom:0;visibility:hidden}.PinturaColorPickerPanel .PinturaPicker .PinturaSaturationPicker{position:relative;border-radius:var(--border-radius) var(--border-radius) 0 0;margin:-.5em -.5em .5em;height:7em;background-image:linear-gradient(180deg,transparent,#000),linear-gradient(90deg,#fff,transparent)}.PinturaColorPickerPanel .PinturaPicker .PinturaHuePicker .PinturaSliderTrack{background-image:linear-gradient(90deg,red,#ff0,#0f0,#0ff,#00f,#f0f,red)}.PinturaColorPickerPanel .PinturaPicker .PinturaSliderTrack{box-shadow:inset 0 0 1px var(--color-foreground-50)}.PinturaColorPickerPanel .PinturaPicker .PinturaOpacityPicker .PinturaSliderKnob:before,.PinturaColorPickerPanel .PinturaPicker .PinturaOpacityPicker .PinturaSliderTrack:before{position:absolute;content:\\\"\\\";display:block;left:0;top:0;width:100%;height:100%;z-index:-1;border-radius:inherit;background-color:#fff;background-image:var(--pattern-transparent)}.PinturaColorPickerPanel .PinturaPicker .PinturaOpacityPicker .PinturaSliderKnob:before{background-position:calc(var(--slider-position)*-2px) 0}.PinturaColorPickerPanel .PinturaPicker .PinturaOpacityPicker{margin-top:.5em}.PinturaUtilPanel[data-util=frame] .PinturaShapeStyleEditor{min-height:3.375em}.PinturaUtilPanel[data-util=frame] .PinturaRadioGroupOption{margin:1em 1em 0 0;padding:.125em;border:1px dashed var(--color-foreground-15);color:var(--color-foreground-70)}.PinturaUtilPanel[data-util=frame] .PinturaRadioGroupOption span{color:var(--color-foreground-90)}.PinturaUtilPanel[data-util=frame] .PinturaRadioGroupOption label{font-size:.75em}.PinturaUtilPanel[data-util=frame] .PinturaRadioGroupOption img,.PinturaUtilPanel[data-util=frame] .PinturaRadioGroupOption svg{position:absolute;left:0;top:0;width:100%;height:100%;-o-object-fit:contain;object-fit:contain}.PinturaUtilPanel[data-util=frame] [data-selected=true]{border-color:var(--color-primary);color:var(--color-primary)}.PinturaUtilPanel[data-util=frame] [data-selected=true] span{color:var(--color-foreground-90)}.PinturaUtilPanel[data-util=frame] [data-layout=row]>.PinturaRadioGroupOptions>li{margin:0 .5em}.PinturaUtilPanel[data-util=frame] [data-layout=row]>.PinturaRadioGroupOptions>li:first-child{margin-left:0}.PinturaUtilPanel[data-util=frame] [data-layout=row]>.PinturaRadioGroupOptions>li:last-child{margin-right:0}.PinturaUtilPanel[data-util=frame] .PinturaRadioGroupOptionGroupLabel{width:1px;height:1px;position:absolute;font-size:0}.PinturaUtilPanel[data-util=frame] .PinturaRadioGroupOptionGroup{display:flex;flex-direction:column-reverse}.PinturaUtilPanel[data-util=frame] .PinturaRadioGroupOption{cursor:var(--button-cursor);margin-bottom:1em}.PinturaUtilPanel[data-util=frame] .PinturaRadioGroupOption span{display:block;text-align:center;padding:0 1.5em;font-size:.625em;font-weight:400}.PinturaUtilPanel[data-util=frame] [data-focus-visible]+label>.PinturaRadioGroupOption span{background-color:var(--color-focus-50);box-shadow:inset 0 0 0 1px var(--color-focus-100);border-radius:.25em}.PinturaUtilPanel[data-util=frame] .PinturaRadioGroupOption{position:relative;width:3em;height:4em}.PinturaUtilPanel[data-util=frame] .PinturaRadioGroupOption div{position:absolute;outline-color:currentColor;border-color:currentColor;cursor:var(--button-cursor)}.PinturaUtilPanel[data-util=frame] .PinturaRadioGroupOption div[slot]{overflow:hidden;left:-1px;top:-1px;bottom:-1px;right:-1px;display:flex;align-items:center;justify-content:center}.PinturaRoot[data-env~=is-compact] .PinturaUtilPanel[data-util=frame] .PinturaUtilFooter>div{padding:0}.PinturaRoot[data-env~=is-compact] .PinturaUtilPanel[data-util=frame] .PinturaRadioGroupOption{width:2.25em;height:3em}.PinturaRoot[data-env~=is-compact] .PinturaUtilPanel[data-util=frame] .PinturaRadioGroupOption span{font-size:.5em}.PinturaRoot[data-env~=is-compact] .PinturaUtilPanel[data-util=frame] [data-layout=row]>.PinturaRadioGroupOptions>li{margin:0 .25em}.PinturaRoot[data-env~=is-compact] .PinturaUtilPanel[data-util=frame] [data-layout=row]>.PinturaRadioGroupOptions>li:first-child{margin-left:0}.PinturaRoot[data-env~=is-compact] .PinturaUtilPanel[data-util=frame] [data-layout=row]>.PinturaRadioGroupOptions>li:last-child{margin-right:0}.PinturaUtilPanel[data-util=filter] .PinturaUtilFooter{padding-left:0!important;padding-right:0!important}.PinturaUtilPanel[data-util=filter] .PinturaScrollable{width:40em}.PinturaUtilPanel[data-util=filter] [data-layout=row]>.PinturaRadioGroupOptions>li{margin:0 .5em}.PinturaUtilPanel[data-util=filter] [data-layout=row]>.PinturaRadioGroupOptions>li:first-child{margin-left:0}.PinturaUtilPanel[data-util=filter] [data-layout=row]>.PinturaRadioGroupOptions>li:last-child{margin-right:0}.PinturaUtilPanel[data-util=filter] .PinturaRadioGroupOptionGroupLabel{width:1px;height:1px;position:absolute;font-size:0;pointer-events:none}.PinturaUtilPanel[data-util=filter] .PinturaFilterPreview{border-radius:0;transition:border-radius 1ms}.PinturaUtilPanel[data-util=filter] .PinturaFilterOption{border-radius:0}.PinturaUtilPanel[data-util=filter] .PinturaRadioGroupOptions .PinturaRadioGroupOption:first-of-type .PinturaFilterPreview{border-top-left-radius:var(--border-radius);border-bottom-left-radius:var(--border-radius)}.PinturaUtilPanel[data-util=filter] .PinturaRadioGroupOptions .PinturaRadioGroupOption:first-of-type .PinturaFilterOption{border-bottom-left-radius:var(--border-radius)}.PinturaUtilPanel[data-util=filter] .PinturaRadioGroupOptions .PinturaRadioGroupOption:last-of-type .PinturaFilterPreview{border-top-right-radius:var(--border-radius);border-bottom-right-radius:var(--border-radius)}.PinturaUtilPanel[data-util=filter] .PinturaRadioGroupOptions .PinturaRadioGroupOption:last-of-type .PinturaFilterOption{border-bottom-right-radius:var(--border-radius)}.PinturaUtilPanel[data-util=filter] .PinturaRadioGroupOptionGroup{display:flex;flex-direction:column-reverse}.PinturaUtilPanel[data-util=filter] .PinturaFilterOption{cursor:var(--button-cursor);margin-bottom:1em}.PinturaUtilPanel[data-util=filter] .PinturaFilterOption span{display:block;text-align:center;padding:0 .3125em;line-height:1.75;max-width:100%;font-size:.625em;font-weight:400;margin-left:1px;overflow:hidden;text-overflow:ellipsis;white-space:nowrap}.PinturaUtilPanel[data-util=filter] .PinturaFilterPreview:before{transition:background-color var(--transition-duration-10),color var(--transition-duration-10)}.PinturaUtilPanel[data-util=filter] [data-selected=true] .PinturaFilterOption .PinturaFilterPreview{position:relative;z-index:1}.PinturaUtilPanel[data-util=filter] [data-selected=true] .PinturaFilterOption .PinturaFilterPreview:before{content:\\\"\\\";position:absolute;width:100%;height:100%;opacity:.35;border-radius:inherit;background-color:var(--color-primary)}.PinturaUtilPanel[data-util=filter] [data-focus-visible]+label>.PinturaFilterOption span{background-color:var(--color-focus-50);box-shadow:inset 0 0 0 1px var(--color-focus-100);border-radius:.25em}.PinturaUtilPanel[data-util=filter] .PinturaFilterOption,.PinturaUtilPanel[data-util=filter] .PinturaFilterPreview{width:3.75em;height:4.5em}.PinturaRoot[data-env~=is-compact] .PinturaUtilPanel[data-util=filter] .PinturaUtilFooter>div{padding:0}.PinturaRoot[data-env~=is-compact] .PinturaUtilPanel[data-util=filter] .PinturaFilterOption,.PinturaRoot[data-env~=is-compact] .PinturaUtilPanel[data-util=filter] .PinturaFilterPreview{width:2.875em;height:3.5em}.PinturaRoot[data-env~=is-compact] .PinturaUtilPanel[data-util=filter] .PinturaFilterOption span{font-size:.5em}.PinturaUtilPanel[data-util=crop] .PinturaStage{touch-action:none}.PinturaUtilPanel[data-util=crop],.PinturaUtilPanel[data-util=crop] .PinturaStage,.PinturaUtilPanel[data-util=crop] .PinturaUtilMain{pointer-events:all}.PinturaUtilPanel[data-util=crop] .PinturaImageInfo{position:absolute;right:1em;bottom:1em}.PinturaUtilPanel[data-util=crop] .PinturaButtonCenter{--size:3em;position:absolute;left:0;top:0;width:var(--size);height:var(--size);z-index:1;line-height:0;margin-top:calc(var(--size)*-0.5);margin-left:calc(var(--size)*-0.5);overflow:hidden;border-radius:50%;color:#000;background:hsla(0,0%,100%,.8);-webkit-backdrop-filter:var(--backdrop-filter-bright);backdrop-filter:var(--backdrop-filter-bright);outline:none}.PinturaUtilPanel[data-util=crop] .PinturaButtonCenter[data-focus-visible]{background-color:var(--color-focus-50);box-shadow:inset 0 0 0 1px var(--color-focus-100)}.PinturaRoot[data-env~=short] .PinturaUtilPanel[data-util=crop] .PinturaUtilFooter{padding-bottom:.5em}.PinturaUtilPanel[data-util=fill] [data-layout=row]>.PinturaRadioGroupOptions>li{margin:0 .25em}.PinturaUtilPanel[data-util=fill] [data-layout=row]>.PinturaRadioGroupOptions>li:first-child{margin-left:0}.PinturaUtilPanel[data-util=fill] [data-layout=row]>.PinturaRadioGroupOptions>li:last-child{margin-right:0}.PinturaUtilPanel[data-util=fill] .PinturaRadioGroupOption{position:relative;width:3em;height:4em}.PinturaUtilPanel[data-util=fill] .PinturaFillTile{position:absolute;width:100%;height:100%}.PinturaUtilPanel[data-util=fill] .PinturaFillTile[data-transparent=true]{background-color:#fff;background-image:var(--pattern-transparent);border-radius:calc(var(--border-radius) + 1px)}.PinturaUtilPanel[data-util=fill] .PinturaFillTile div,.PinturaUtilPanel[data-util=fill] .PinturaFillTile img{cursor:var(--button-cursor);position:absolute;left:0;top:0;width:100%;height:100%;-o-object-fit:cover;object-fit:cover;border-radius:var(--border-radius)}.PinturaUtilPanel[data-util=fill] .PinturaFillTile:after{content:\\\"\\\";z-index:3;position:absolute;left:0;top:0;width:100%;height:100%;box-shadow:inset 0 0 0 1px var(--color-foreground-5);border-radius:var(--border-radius);pointer-events:none}.PinturaUtilPanel[data-util=fill] .PinturaRadioGroupOption[data-selected=true] .PinturaFillTile:after{box-shadow:inset 0 0 0 1px var(--color-foreground-5),inset 0 0 0 4px var(--color-primary),inset 0 0 0 5px var(--color-foreground-5)}.PinturaRoot[data-env~=is-compact] .PinturaUtilPanel[data-util=fill] .PinturaUtilFooter>div{padding:0}.PinturaRoot[data-env~=is-compact] .PinturaUtilPanel[data-util=fill] .PinturaRadioGroupOption{width:2.25em;height:3em}.PinturaRoot[data-env~=is-compact] .PinturaUtilPanel[data-util=fill] .PinturaRadioGroupOption span{font-size:.5em}.PinturaRoot[data-env~=is-compact] .PinturaUtilPanel[data-util=fill] [data-layout=row]>.PinturaRadioGroupOptions>li{margin:0 .175em}.PinturaRoot[data-env~=is-compact] .PinturaUtilPanel[data-util=fill] [data-layout=row]>.PinturaRadioGroupOptions>li:first-child{margin-left:0}.PinturaRoot[data-env~=is-compact] .PinturaUtilPanel[data-util=fill] [data-layout=row]>.PinturaRadioGroupOptions>li:last-child{margin-right:0}.PinturaUtilPanel[data-util=resize] form{display:flex;justify-content:center;padding:0 1em}.PinturaUtilPanel[data-util=resize] .PinturaFormInner{position:relative;display:flex;justify-content:center;align-items:center}.PinturaUtilPanel[data-util=resize] .PinturaFormInner>button{position:absolute;left:100%;margin-left:1em}.PinturaUtilPanel[data-util=resize] .PinturaFieldsetInner{display:inline-flex;align-items:center;justify-content:center}.PinturaUtilPanel[data-util=resize] .PinturaResizeLabel{font-size:.75em}.PinturaUtilPanel[data-util=resize] .PinturaDropdownButton{margin-left:.5em;margin-right:.5em;background-color:var(--color-foreground-5);border-radius:var(--border-radius-round);box-shadow:inset 0 0 0 1px var(--color-foreground-5);transition:background-color var(--transition-duration-10)}.PinturaUtilPanel[data-util=resize] .PinturaDropdownButton:hover{background-color:var(--color-foreground-10)}.PinturaUtilPanel[data-util=resize] .PinturaDropdownButton .PinturaButtonLabel{display:block;line-height:2.65;padding:0 1em;font-variant-numeric:tabular-nums;font-size:.75em;font-weight:400}.PinturaUtilPanel[data-util=resize] .PinturaDropdownButton .PinturaButtonLabel:after{content:\\\"▼\\\";font-size:.6875em;margin-left:.75em;position:relative;top:-.125em;margin-right:-.25em;pointer-events:none}.PinturaUtilPanel[data-util=resize] input[type=checkbox]+label{padding:0 .125em;outline:transparent;display:block;cursor:pointer}.PinturaUtilPanel[data-util=resize] input[type=checkbox][data-focus-visible]+label{background-color:var(--color-focus-50);box-shadow:inset 0 0 0 1px var(--color-focus-100)}.PinturaInputDimension{display:inline-flex;align-items:center;position:relative}.PinturaInputDimension label{position:absolute;right:.625em;font-size:.75em;text-transform:uppercase;pointer-events:none;color:var(--color-foreground-80);z-index:1}.PinturaInputDimension button,.PinturaInputDimension input,.PinturaInputDimension label{font-size:.75em;font-weight:400}.PinturaInputDimension button,.PinturaInputDimension input{-webkit-appearance:none;appearance:none;-moz-appearance:textfield;box-sizing:border-box;font-variant-numeric:tabular-nums;padding:.625em 0 .625em .625em;width:100%;max-width:7em;outline:transparent;border-radius:var(--border-radius);box-shadow:none;border:1px solid var(--color-foreground-80);transition:background-color var(--transition-duration-10) ease-in-out,color var(--transition-duration-10) ease-in-out,border-color var(--transition-duration-10) ease-in-out}.PinturaInputDimension button::-moz-selection,.PinturaInputDimension input::-moz-selection{background-color:var(--color-foreground-20)}.PinturaInputDimension button::selection,.PinturaInputDimension input::selection{background-color:var(--color-foreground-20)}.PinturaInputDimension button:hover,.PinturaInputDimension input:hover{background-color:var(--color-foreground-10)}.PinturaInputDimension button:focus,.PinturaInputDimension input:focus{border-color:var(--color-focus-100)}.PinturaInputDimension input{background-color:var(--color-foreground-5)}.PinturaInputDimension input:-moz-placeholder-shown+label{color:var(--color-foreground-20)}.PinturaInputDimension input:placeholder-shown+label{color:var(--color-foreground-20)}.PinturaInputDimension input::-moz-placeholder{color:var(--color-foreground-30)}.PinturaInputDimension input::placeholder{color:var(--color-foreground-30)}.PinturaInputDimension input[data-state=invalid]{border-color:var(--color-error-75);box-shadow:inset 0 0 .25em var(--color-error-25),0 0 .25em var(--color-error-50)}.PinturaInputDimension button{width:10em;min-height:2.65em}.PinturaInputDimension input::-webkit-inner-spin-button,.PinturaInputDimension input::-webkit-outer-spin-button{-webkit-appearance:none}.PinturaInputDimension input::-ms-clear{display:none}.PinturaModal{--safe-area-inset-top:env(safe-area-inset-top);--safe-area-inset-bottom:env(safe-area-inset-bottom);--editor-modal-border-radius:0;--editor-modal-overlay-opacity:0.95;--editor-modal-shadow:0 1em 2em -1em rgba(0,0,0,0.25),0 1.5em 1.5em -2em rgba(0,0,0,0.5);--editor-modal-outline:inset 0 0 0 1px var(--color-foreground-3);position:fixed;left:0;top:0;width:100%;height:100vh;z-index:2147483646;display:flex;justify-content:center;align-items:center;background-color:rgba(var(--color-background),var(--editor-modal-overlay-opacity,var(--editor-modal-overlay-opacity-default,.95)))}.PinturaModal>.PinturaRoot[data-env~=is-centered]{box-shadow:var(--editor-modal-shadow);border-radius:var(--editor-modal-border-radius)}.PinturaModal>.PinturaRoot[data-env~=is-centered]:after{position:absolute;left:0;top:0;bottom:0;right:0;pointer-events:none;border-radius:inherit;content:\\\"\\\";box-shadow:var(--editor-modal-outline);z-index:2147483646}.PinturaModal[style*=\\\"--viewport-pad-footer:1\\\"]{box-sizing:border-box;padding-bottom:env(safe-area-inset-bottom)}.PinturaModal+.PinturaModal{--editor-modal-overlay-opacity-default:0.75}@media(min-width:600px) and (min-height:600px){.PinturaModal+.PinturaModal .PinturaRoot{--editor-max-width-default:calc(100vw - 8em);--editor-max-height-default:calc(100vh - 8em)}}.PinturaDocumentLock,.PinturaDocumentLock body{height:calc(var(--pintura-document-height) - 1px);overflow-y:hidden;box-sizing:border-box}.PinturaDocumentLock body{position:relative}.PinturaDocumentLock .PinturaModal{height:100%!important}.PinturaPanel{--color-inset:hsla(0,0%,100%,0.1);--color-fill:var(--color-foreground-5);top:0;left:0;z-index:2147483647;width:-moz-max-content;width:max-content;cursor:auto;outline:transparent;box-shadow:inset 0 0 0 1px var(--color-inset),0 .125em .25em rgba(0,0,0,.25),0 .125em .75em rgba(0,0,0,.15),0 .125em .125em rgba(0,0,0,.1);border-radius:var(--border-radius)}.PinturaPanel,.PinturaPanelTip{position:absolute;color:var(--color-foreground-90);background-color:var(--color-background-100);background-image:linear-gradient(var(--color-fill),var(--color-fill));background-blend-mode:screen}.PinturaPanelTip{--tip-mask:transparent calc(50% - 1.5px),#000 calc(50% - 1.5px);width:.5em;height:.5em;margin-left:-.25em;margin-top:-.25em;z-index:-1;box-shadow:inset -1px -1px 0 0 var(--color-inset);-webkit-mask:linear-gradient(to bottom right,var(--tip-mask));mask:linear-gradient(to bottom right,var(--tip-mask))}.PinturaPanelTip[style*=\\\"top:0\\\"]{box-shadow:inset 1px 1px 0 0 var(--color-inset);-webkit-mask:linear-gradient(to top left,var(--tip-mask));mask:linear-gradient(to top 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var(--scrollable-feather-size)),rgba(0,0,0,var(--scrollable-feather-end-opacity)))}.PinturaScrollable[data-state~=scrolling]>div *{pointer-events:none}.PinturaTabList{display:flex;justify-content:center}.PinturaTabList button{display:flex;align-items:center;flex-direction:column;outline:transparent;cursor:var(--button-cursor);-webkit-tap-highlight-color:transparent}.PinturaTabList button>*{transition:filter var(--transition-duration-10) ease-out}.PinturaTabList button[disabled]>*{filter:var(--filter-disabled)}.PinturaTabPanels{flex:1;display:grid;grid-template-columns:1fr}.PinturaTabPanel{position:relative;grid-row-start:1;grid-column-start:1;min-width:0}.PinturaTabPanel:not([hidden]){z-index:2;outline:transparent}.PinturaTabPanel[hidden]{display:block!important;z-index:1;pointer-events:none}.PinturaTabPanel[data-inert=true]{visibility:hidden}@supports not 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label{cursor:var(--button-cursor);display:flex;height:1.5em;align-items:center;padding:0 .25em;box-shadow:inset 0 0 0 1px var(--color-foreground-5);transition:background-color var(--transition-duration-10)}.PinturaShapeStyle>.PinturaRadioGroup>.PinturaRadioGroupOptions label:hover{background-color:var(--color-foreground-20)}.PinturaShapeStyle>.PinturaRadioGroup>.PinturaRadioGroupOptions svg{width:1.125em;height:1.125em}.PinturaShapeStyle>.PinturaRadioGroup>.PinturaRadioGroupOptions .PinturaRadioGroupOption:first-of-type label{padding-left:.5em;border-top-left-radius:var(--border-radius-round);border-bottom-left-radius:var(--border-radius-round)}.PinturaShapeStyle>.PinturaRadioGroup>.PinturaRadioGroupOptions .PinturaRadioGroupOption:last-of-type label{padding-right:.5em;border-top-right-radius:var(--border-radius-round);border-bottom-right-radius:var(--border-radius-round)}.PinturaShapeStyle>.PinturaRadioGroup>.PinturaRadioGroupOptions [data-selected=true] 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.PinturaPanel{z-index:3}.PinturaToolbar .PinturaToolbarInner>*{margin:0 .5em}.PinturaRectManipulator{--size:1.25em;position:absolute;left:0;top:0;outline:none;touch-action:none;transform:translate3d(calc(var(--tx)*1px),calc(var(--ty)*1px),0) scale(var(--sx),var(--sy))}.PinturaRectManipulator:not([data-shape=edge]){width:var(--size);height:var(--size);z-index:2}.PinturaRectManipulator:not([data-shape=edge]):after{position:absolute;left:-.5em;right:-.5em;top:-.5em;bottom:-.5em;border-radius:inherit;content:\\\"\\\"}.PinturaRectManipulator:not([data-shape=edge])[data-focus-visible]:after{background-color:var(--color-focus-50);box-shadow:inset 0 0 0 1px var(--color-focus-100)}.PinturaRectManipulator[data-shape~=circle]{margin-left:calc(var(--size)*-0.5);margin-top:calc(var(--size)*-0.5);line-height:var(--size);border-radius:50%;background-color:var(--color-foreground-100);box-shadow:0 0 2px var(--color-background-50)}.PinturaRectManipulator[data-shape=hook]{border:3px solid var(--color-foreground-100)}.PinturaRectManipulator[data-shape=hook][data-direction*=t]{margin-top:-3px;border-bottom:0}.PinturaRectManipulator[data-shape=hook][data-direction*=r]{border-left:0;margin-left:calc(var(--size)*-1)}.PinturaRectManipulator[data-shape=hook][data-direction*=b]{margin-top:calc(var(--size)*-1);border-top:0}.PinturaRectManipulator[data-shape=hook][data-direction*=l]{border-right:0;margin-left:-3px}.PinturaRectManipulator[data-shape~=edge]{height:1px;width:1px;z-index:1}.PinturaRectManipulator[data-shape~=edge][data-focus-visible]{background-color:var(--color-focus-50)}.PinturaRectManipulator[data-direction=b],.PinturaRectManipulator[data-direction=t]{cursor:ns-resize;height:var(--size);margin-top:calc(var(--size)*-0.5);transform-origin:0 center}.PinturaRectManipulator[data-direction=l],.PinturaRectManipulator[data-direction=r]{cursor:ew-resize;width:var(--size);margin-left:calc(var(--size)*-0.5);transform-origin:center 0}.PinturaRectManipulator[data-direction=bl],.PinturaRectManipulator[data-direction=tr]{cursor:nesw-resize}.PinturaRectManipulator[data-direction=br],.PinturaRectManipulator[data-direction=tl]{cursor:nwse-resize}.PinturaRoot[data-env~=pointer-coarse] .PinturaRectManipulator[data-shape=edge]:active{background-color:var(--color-foreground-5)}.PinturaRoot[data-env~=pointer-coarse] .PinturaRectManipulator:not([data-shape=edge]):after{left:-1em;right:-1em;top:-1em;bottom:-1em}.PinturaRoot[data-env~=pointer-coarse] .PinturaRectManipulator:not([data-shape=edge]):active:after{background-color:var(--color-foreground-5)}.PinturaRoot[data-env*=chrome-] .PinturaRectManipulator{transform:translate3d(calc(var(--tx)*1px),calc(var(--ty)*1px),0)}.PinturaRoot[data-env*=chrome-] .PinturaRectManipulator[data-direction=b],.PinturaRoot[data-env*=chrome-] .PinturaRectManipulator[data-direction=t]{width:calc(var(--sx)*1px)}.PinturaRoot[data-env*=chrome-] .PinturaRectManipulator[data-direction=l],.PinturaRoot[data-env*=chrome-] .PinturaRectManipulator[data-direction=r]{height:calc(var(--sy)*1px)}.PinturaShapePresetsPalette{text-align:center;width:40em;max-width:100%;overflow:hidden}.PinturaShapePresetsPalette .PinturaShapePresetSelect{vertical-align:top;display:inline-block}.PinturaShapePresetsPalette .PinturaScrollable:not([data-state~=overflows]){display:flex;justify-content:center}.PinturaShapePresetsPalette .PinturaButton+.PinturaButton{margin-left:.5em}.PinturaShapePresetsPalette .PinturaButton{flex-direction:row;line-height:1.1;padding:.3125em .75em;border-radius:var(--border-radius-round);box-shadow:inset 0 0 0 1px var(--color-foreground-5);cursor:var(--button-cursor);transition:background-color var(--transition-duration-10) ease-out,color var(--transition-duration-10) ease-out,box-shadow var(--transition-duration-10) ease-out;outline:none}.PinturaShapePresetsPalette .PinturaButton .PinturaButtonIcon{width:1em}.PinturaShapePresetsPalette .PinturaButton .PinturaButtonLabel{font-size:.75em}.PinturaShapePresetsPalette .PinturaButton:hover{box-shadow:inset 0 0 0 1px var(--color-foreground-10)}.PinturaShapePresetsPalette .PinturaButton[data-focus-visible]{background-color:var(--color-focus-50);box-shadow:inset 0 0 0 1px var(--color-focus-100)}.PinturaShapePresetsPalette .PinturaShapePresetsFlat>*+*,.PinturaShapePresetsPalette .PinturaShapePresetsGroups>*+*,.PinturaShapePresetsPalette .PinturaShapePresetsGroups>div>*+*{margin-left:.5em}.PinturaShapePresetsGroups{display:flex}.PinturaShapePresetsGrouped{display:flex;flex-direction:column;align-items:center}.PinturaShapePresetsGrouped [role=tab]{white-space:nowrap}.PinturaShapePresetsFlat{display:flex;align-items:center;justify-content:center}.PinturaShapePresetsFlat>.PinturaButton{margin-left:1em}.PinturaShapeList{pointer-events:none;opacity:0;transition:opacity var(--transition-duration-10) ease-in-out;position:absolute;top:1em;left:1em;width:-moz-max-content;width:max-content;z-index:1;border-radius:var(--border-radius);color:var(--color-foreground-100);background:var(--color-background-70);box-shadow:0 0 0 1px var(--color-foreground-5)}.PinturaShapeList li+li{margin-top:-.3125em}.PinturaShapeList[data-visible=true]{opacity:1}.PinturaShapeList .PinturaColorPreview{width:.75em;height:.75em;margin-right:.25em;border-radius:.25em}.PinturaShapeList .PinturaShapeListItem{display:flex;align-items:center;padding:.25em .5em;outline:none}.PinturaShapeList .PinturaShapeListItem>span{font-size:.75em;line-height:1.75;padding:0 .325em;margin-left:-.325em}.PinturaShapeList .PinturaShapeListItem[data-focus-visible]>span{background-color:var(--color-focus-50);box-shadow:inset 0 0 0 1px var(--color-focus-100)}.PinturaShapeList[data-visible=true] .PinturaShapeListItem{pointer-events:all}.PinturaShapeEditor{height:100%;width:100%;outline:none;touch-action:none}.PinturaShapeControls{position:absolute!important;left:0;top:0;z-index:3;pointer-events:none;display:flex;align-items:center}.PinturaShapeControlsGroup{pointer-events:all;color:#eee;background:#222;box-shadow:0 .125em .25em rgba(0,0,0,.25);border-radius:.25em}.PinturaShapeControlsGroup,.PinturaShapeControlsGroup .PinturaShapeControlsGroupToggle{display:inline-flex;min-height:1.75em}.PinturaShapeControlsGroup+.PinturaShapeControlsGroup{margin-left:.5em}.PinturaShapeControlsGroup .PinturaShapeControlsGroupToggle{position:relative}.PinturaShapeControlsGroup .PinturaButton{outline:transparent}.PinturaShapeControlsGroup .PinturaButton[data-focus-visible]{background-color:var(--color-focus-50);box-shadow:inset 0 0 0 1px var(--color-focus-100)}.PinturaShapeControlsGroup .PinturaButton[disabled]>span{opacity:.5;pointer-events:all;cursor:not-allowed}.PinturaShapeControlsGroup>.PinturaButton{display:block;font-weight:700;transition:background-color var(--transition-duration-10);outline:transparent}.PinturaShapeControlsGroup>.PinturaButton:hover{background-color:hsla(0,0%,100%,.15)}.PinturaShapeControlsGroup>.PinturaButton .PinturaButtonLabel{display:block;font-size:.6875em;padding:0 .75em;line-height:1.7em}.PinturaShapeControlsGroup .PinturaButtonIconOnly{width:1.75em;transition:background-color var(--transition-duration-10)}.PinturaShapeControlsGroup .PinturaButtonIconOnly:hover{background-color:hsla(0,0%,100%,.15)}.PinturaShapeControlsGroup>button:first-of-type{border-radius:.25em 0 0 .25em}.PinturaShapeControlsGroup>button:last-of-type{border-radius:0 .25em .25em 0}.PinturaShapeControlsGroup>button:only-of-type{border-radius:.25em}.PinturaShapeControlsGroup>*+*{border-left:1px solid rgba(0,0,0,.5)}.PinturaShapeControlsGroup svg{pointer-events:none}.PinturaInlineInput{position:absolute;left:0;top:0;margin:0;padding:0;transform-origin:center;display:flex}.PinturaInlineInput:before{content:\\\"\\\";width:0;height:var(--line-height)}.PinturaContentEditable{margin:0;padding:0;width:calc(100%/var(--font-scalar));height:calc(100%/var(--font-scalar) - var(--bottom-inset, 0));overflow:hidden;outline:none;vertical-align:top}.PinturaShapePreset,.PinturaShapePresetsList{display:flex;align-items:center}.PinturaShapePreset{--thumb-size:1.75em;--thumb-radius:0.3125em;--thumb-margin:0.3125em;justify-content:center;position:relative}.PinturaShapePreset text{font-family:monospace}.PinturaShapePreset img,.PinturaShapePreset svg{display:block;width:var(--thumb-size);height:var(--thumb-size);min-width:auto;max-width:none;-o-object-fit:cover;object-fit:cover;border-radius:var(--thumb-radius)}.PinturaShapePreset .PinturaDragButton{padding:var(--thumb-margin);border-radius:var(--border-radius);box-shadow:inset 0 0 0 1px var(--color-foreground-5)}.PinturaShapePreset .PinturaDragButton:hover{background-color:var(--color-foreground-10)}.PinturaShapePreset .PinturaDragButton[data-loader]:after,.PinturaShapePreset .PinturaDragButton[data-loader]:before{display:block;width:var(--thumb-size);height:var(--thumb-size);line-height:var(--thumb-size);border-radius:var(--thumb-radius)}.PinturaShapePreset .PinturaDragButton[data-error] img{display:none}.PinturaShapePreset .PinturaDragButton[data-error]:after{content:\\\"⚠\\\";box-shadow:inset 0 0 0 1px var(--color-error-75);background-color:var(--color-error-10);color:var(--color-error-75)}.PinturaShapePreset .PinturaDragButton[data-loader]{position:relative}.PinturaShapePreset .PinturaDragButton[data-loader]:before{content:\\\"\\\";position:absolute;left:var(--thumb-margin);top:var(--thumb-margin);animation:pintura-img-loading calc(var(--transition-duration-multiplier, 0)*1s) infinite alternate ease-in-out;background-color:var(--color-foreground-10);transition:transform calc(var(--transition-duration-multiplier, 0)*0.5s) ease-in;z-index:-1}.PinturaShapePreset .PinturaDragButton[data-loader] img{opacity:0;transition:opacity calc(var(--transition-duration-multiplier, 0)*0.35s) ease-out}.PinturaShapePreset .PinturaDragButton[data-loader][data-load] img{opacity:1}.PinturaShapePreset .PinturaDragButton[data-loader][data-error]:before,.PinturaShapePreset .PinturaDragButton[data-loader][data-load]:before{animation-play-state:paused;transform:scale(.5)}.PinturaShapePreset+.PinturaShapePreset{margin-left:.5em}@keyframes pintura-img-loading{0%{opacity:.5}50%{opacity:1}to{opacity:.5}}.PinturaContentEditable{white-space:pre-line!important;word-break:break-word!important;display:inline-block!important;-webkit-user-select:text!important;-moz-user-select:text!important;user-select:text!important}.PinturaContentEditable[data-wrap-content=nowrap]{white-space:nowrap!important;word-break:normal!important}.PinturaContentEditable{background:transparent!important;margin:0!important;border-radius:0!important;max-width:none!important;min-width:auto!important;box-shadow:none!important}.PinturaInputForm{opacity:0;cursor:auto;z-index:2147483647}.PinturaInputForm:not([data-layout=stick]){position:absolute;bottom:6.5em;width:30em;left:calc(50% - 15em);box-shadow:0 .25em .5em -.5em rgba(0,0,0,.75),inset 0 0 0 1px var(--color-foreground-10);border-radius:var(--border-radius);background-color:var(--color-background-95)}@media(max-width:34em){.PinturaInputForm:not([data-layout=stick]){left:2em;right:2em;width:auto}}.PinturaInputForm[data-layout=stick]{transition:opacity .15s ease .25s;position:absolute;left:0;right:0;outline:1px solid var(--color-foreground-15);background-color:var(--color-background-100)}.PinturaInputForm[data-layout=stick]>.PinturaInputFormInner{background-color:var(--color-foreground-3)}.PinturaInputFormInner>.PinturaButton{color:var(--color-foreground-100);border-radius:9999em;box-shadow:inset 0 0 0 1px var(--color-foreground-5)}.PinturaInputFormInner>.PinturaButton:first-of-type{left:1em}.PinturaInputFormInner>.PinturaButton:last-of-type{right:1rem;color:var(--color-primary-text);background:var(--color-primary);box-shadow:inset 0 0 0 1px var(--color-foreground-10)}.PinturaInputFormInner>.PinturaButton:not(.PinturaButtonIconOnly) .PinturaButtonInner{padding:0 .875em 0 .625em}.PinturaInputFormInner>.PinturaButton .PinturaButtonIcon{width:.875em;height:.875em}.PinturaInputFormInner>.PinturaButton.PinturaButtonIconOnly{width:1.875em;height:1.875em}.PinturaInputFormInner>.PinturaButton .PinturaButtonLabel{font-size:.875em}.PinturaInputFormInner>.PinturaButton .PinturaButtonInner{line-height:2;display:flex;justify-content:center}.PinturaInputFormInner{padding-top:1em;padding-bottom:3.5em}.PinturaInputFormInner>.PinturaButton{position:absolute;bottom:1em}.PinturaInputFormFields textarea:only-child{width:100%;padding:0 1em .5em;height:5em;display:block;background:transparent;-webkit-mask:linear-gradient(0deg,transparent,#000 1em);mask:linear-gradient(0deg,transparent,#000 1em)}.PinturaInputFormFields textarea:only-child::-webkit-scrollbar{width:1em;cursor:pointer}.PinturaInputFormFields textarea:only-child::-webkit-scrollbar-track{background:none}.PinturaInputFormFields textarea:only-child::-webkit-scrollbar-thumb{cursor:pointer;background-clip:padding-box;background-color:var(--color-foreground-70);border-radius:9999em;border:.25em solid transparent}.PinturaInputForm input,.PinturaInputForm textarea{box-sizing:border-box;resize:none;border:none;font-size:1rem;outline:transparent;color:var(--color-foreground-100)}.PinturaInputForm input{background-color:var(--color-background-100)}.PinturaModalBodyLock .PinturaInputForm{margin-top:-50px}.PinturaShapeManipulator{position:absolute;left:0;top:0;outline:none;touch-action:none;transform:translate3d(calc(var(--tx)*1px),calc(var(--ty)*1px),0) rotate(var(--r)) scale(var(--sx),var(--sy));--size:0.75em}.PinturaShapeManipulator:not([data-control=edge]){margin-left:calc(var(--size)*-0.5);margin-top:calc(var(--size)*-0.5);line-height:var(--size);width:var(--size);height:var(--size);border-radius:9999em}.PinturaShapeManipulator:not([data-control=edge]):after{position:absolute;left:-.5em;right:-.5em;top:-.5em;bottom:-.5em;content:\\\"\\\"}.PinturaShapeManipulator:not([data-control=edge])[data-focus-visible]:after{border-radius:inherit;background-color:var(--color-focus-50);box-shadow:inset 0 0 0 1px var(--color-focus-100)}.PinturaShapeManipulator[data-control=point]{background:linear-gradient(90deg,var(--color-secondary-dark),var(--color-secondary));box-shadow:0 0 0 2px #fff,0 0 4px #000;z-index:3}.PinturaShapeManipulator[data-control=edge]{margin-top:calc(var(--size)*-0.5);height:var(--size);width:1px;z-index:1;transform-origin:0 calc(var(--size)*0.5)}.PinturaShapeManipulator[data-control=edge][data-focus-visible]{background-color:var(--color-focus-50)}.PinturaShapeManipulator[data-control=rotate]{border-radius:9999em;background:linear-gradient(90deg,#fff,#ddd);box-shadow:0 0 0 2px var(--color-secondary-dark),0 0 4px #000;z-index:2;cursor:grab}.PinturaRoot[data-env*=chrome-] .PinturaShapeManipulator[data-control=edge]{width:calc(var(--sx)*1px);transform:translate3d(calc(var(--tx)*1px),calc(var(--ty)*1px),0) rotate(var(--r))}.PinturaDragButton{cursor:var(--button-cursor);outline:transparent}.PinturaDragButton>*{pointer-events:none}.PinturaDragButton{-webkit-user-select:none;-moz-user-select:none;user-select:none;-webkit-touch-callout:none;-webkit-tap-highlight-color:rgba(0,0,0,0);transition:filter var(--transition-duration-25) ease-out}.PinturaDragButton[disabled]{filter:var(--filter-disabled)}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".bx--dropdown{border-bottom:none}.personalisation-method-selector-manager{display:flex;flex-direction:row;justify-content:space-evenly;width:100%;padding:10px}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","module.exports = \"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgBAMAAACBVGfHAAAAHlBMVEUAAAApKSlRUVFYWFh3d3eAgICIiIj6+vr8/Pz////mDE3dAAAAAWJLR0QJ8dml7AAAADRJREFUKM9jYKAvYE1AE4gsRFMwXQFNQRHdFTB4NqMJsMwwoI0SdJtZ0N2GEUAMrAF0jC8AmAEOqT84zEkAAAAASUVORK5CYII=\"","export * from \"-!../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PrintTechnique.vue?vue&type=style&index=0&id=67639a9b&prod&lang=scss\"","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./TourModal.vue?vue&type=style&index=0&id=c2321bf0&prod&lang=scss\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"0ba359b5\", content, shadowRoot)\n};","/**\n * Copyright IBM Corp. 2019, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nimport { c as createSVGComponent } from '../utils-9450cd75.js';\nimport '@carbon/icon-helpers';\nimport 'vue';\n\nconst TrashCan16 = createSVGComponent('TrashCan16', {\n  \"xmlns\": \"http://www.w3.org/2000/svg\",\n  \"viewBox\": \"0 0 32 32\",\n  \"fill\": \"currentColor\",\n  \"width\": 16,\n  \"height\": 16\n}, [{\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M12 12H14V24H12zM18 12H20V24H18z\"\n  }\n}, {\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M4 6V8H6V28a2 2 0 002 2H24a2 2 0 002-2V8h2V6zM8 28V8H24V28zM12 2H20V4H12z\"\n  }\n}]);\n\nexport { TrashCan16 as default };\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".closed-notifications[data-v-6e8e97bd]{position:absolute;left:10px}.closed-notifications__btn[data-v-6e8e97bd]{width:222px;height:56px;border-radius:50px;background:var(--color);border:none}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../node_modules/css-loader/dist/runtime/api.js\");\nvar ___CSS_LOADER_AT_RULE_IMPORT_0___ = require(\"-!../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!vue-js-modal/dist/styles.css\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\nexports.i(___CSS_LOADER_AT_RULE_IMPORT_0___);\n// Module\nexports.push([module.id, \".bx--dropdown[data-v-88e224f4]{border-bottom:none}p[data-v-88e224f4]{color:#000}.cv-header.bx--header[data-v-88e224f4]{height:48px;display:flex;position:relative;background-color:#fff;border-bottom:1px solid #f4f4f4}.cv-header.bx--header span[data-v-88e224f4]{font-size:1.25rem;font-weight:400;line-height:1.4;letter-spacing:0;color:#161616;font-size:20px}.cv-header.bx--header .cv-button.bx--btn[data-v-88e224f4]{color:#000;margin-left:auto}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PrintTechniqueGroup.vue?vue&type=style&index=0&id=4e93a04a&prod&lang=scss\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"72d2e8e0\", content, shadowRoot)\n};","'use strict';\nvar anObject = require('../internals/an-object');\n\n// `RegExp.prototype.flags` getter implementation\n// https://tc39.es/ecma262/#sec-get-regexp.prototype.flags\nmodule.exports = function () {\n  var that = anObject(this);\n  var result = '';\n  if (that.hasIndices) result += 'd';\n  if (that.global) result += 'g';\n  if (that.ignoreCase) result += 'i';\n  if (that.multiline) result += 'm';\n  if (that.dotAll) result += 's';\n  if (that.unicode) result += 'u';\n  if (that.unicodeSets) result += 'v';\n  if (that.sticky) result += 'y';\n  return result;\n};\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".bx--dropdown{border-bottom:none}.upload-logo{font-family:IBM Plex Sans,Helvetica Neue,Arial,sans-serif!important;overflow-y:auto;overflow-x:hidden;height:100%!important}.bx--label-description{margin-bottom:15px!important}.bx--file--label,.bx--form-item,.bx--label-description{font-size:14px!important}.bx--file__container{margin:20px!important}.bx--file__drop-container{height:96px!important;font-size:14px}.bx--file__selected-file{min-height:35px!important}.bx--file-filename{font-size:12px!important}.inline-notification__wrapper{margin:5px 22px 5px 22px!important}.bx--inline-notification{min-width:100%!important;max-width:100%!important}.bx--inline-notification__title{font-size:12px!important;margin:0 5px 0 0!important}.bx--inline-notification__subtitle{font-size:12px!important}.bx--inline-notification__close-button{display:none!important}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","export * from \"-!../../../../node_modules/vue-style-loader/index.js??ref--7-oneOf-1-0!../../../../node_modules/css-loader/dist/cjs.js??ref--7-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--7-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--7-oneOf-1-3!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./SmallDetailsConfirmation.vue?vue&type=style&index=0&id=7c26d410&prod&scoped=true&lang=css\"","/**\n * Copyright IBM Corp. 2019, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nimport { c as createSVGComponent } from '../utils-9450cd75.js';\nimport '@carbon/icon-helpers';\nimport 'vue';\n\nconst ChevronDown16 = createSVGComponent('ChevronDown16', {\n  \"xmlns\": \"http://www.w3.org/2000/svg\",\n  \"viewBox\": \"0 0 16 16\",\n  \"fill\": \"currentColor\",\n  \"width\": 16,\n  \"height\": 16\n}, [{\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M8 11L3 6 3.7 5.3 8 9.6 12.3 5.3 13 6z\"\n  }\n}]);\n\nexport { ChevronDown16 as default };\n","'use strict';\nvar DESCRIPTORS = require('../internals/descriptors');\nvar fails = require('../internals/fails');\n\n// V8 ~ Chrome 36-\n// https://bugs.chromium.org/p/v8/issues/detail?id=3334\nmodule.exports = DESCRIPTORS && fails(function () {\n  // eslint-disable-next-line es/no-object-defineproperty -- required for testing\n  return Object.defineProperty(function () { /* empty */ }, 'prototype', {\n    value: 42,\n    writable: false\n  }).prototype !== 42;\n});\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".editor-toolbar--font{width:200px}.editor-toolbar .bx--list-box{max-height:50px;color:#fff;background-color:#393939;border:none!important}.editor-toolbar .bx--dropdown{max-height:50px!important}.editor-toolbar .bx--dropdown-item{height:50px;font-size:14px}.editor-toolbar .bx--list-box__field{padding-right:0;background-color:#393939;color:#fff}.editor-toolbar .bx--list-box__field>.bx--list-box__label{color:#fff;font-size:14px}.editor-toolbar .bx--list-box__field>.bx--list-box__menu-icon svg{fill:#fff}.editor-toolbar .bx--dropdown{background-color:#393939;height:50px!important}.editor-toolbar .bx--dropdown-item:hover div[style],.editor-toolbar .bx--dropdown-item:hover pre[style]{background-color:#595959!important}.editor-toolbar .bx--dropdown-item{transition:none;background-color:#393939;color:#fff}.editor-toolbar .bx--dropdown-item:hover,.editor-toolbar .bx--dropdown-item:hover>*{background-color:#595959}.editor-toolbar .bx--form-item{display:inline-block}.editor-toolbar .bx--list-box__menu{box-shadow:0 2px 6px rgba(0,0,0,.2);position:absolute;z-index:9100;right:0;left:0;width:100%;overflow-y:auto;transition:max-height .11s cubic-bezier(.2,0,.38,.9)}.editor-toolbar .bx--list-box__menu li a>*{color:#fff}.editor-toolbar .bx--dropdown-link{border:none;height:50px;padding:20px 10px}.editor-toolbar span.is-circle{display:inline-block;width:18px;height:18px;border-radius:50%}.editor-toolbar .bx--btn.bx--btn--icon-only.bx--tooltip__trigger+.bx--assistive-text,.editor-toolbar .bx--btn.bx--btn--icon-only.bx--tooltip__trigger .bx--assistive-text,.editor-toolbar .bx--btn.bx--btn--icon-only.bx--tooltip__trigger:after{transform:translate(-75%,100%)}.editor-toolbar input.bx--text-input{color:#fff;border-bottom-color:#393939;font-size:14px}.editor-toolbar .bx--list-box__menu-item{font-size:14px;height:40px;padding:10px 0}.editor-toolbar .bx--list-box__menu-item .bx--list-box__menu-item--highlighted{color:#fff}.editor-toolbar .font-family-dropdown{width:170px}.editor-toolbar .font-size-dropdown{width:75px}.editor-toolbar .color .bx--combo-box{color:#fff!important;width:100%;max-width:50%}.editor-toolbar .color__container{display:flex;align-items:center;transition:none;background-color:#393939;border:unset;color:#fff}.editor-toolbar .color__container .bx--list-box__menu-item__option{color:#fff}.editor-toolbar .color__container .bx--list-box__menu-item--highlighted{background-color:#595959}.editor-toolbar .color__container .bx--list-box__menu{box-shadow:0 2px 6px rgba(0,0,0,.2);position:absolute;z-index:9100;right:0;left:9px;width:96%;background-color:#393939;overflow-y:auto;transition:max-height .11s cubic-bezier(.2,0,.38,.9)}.editor-toolbar .color__container .bx--list-box__menu li a>*{color:#fff}.editor-toolbar .color__oval{width:20px;height:20px;border-radius:50%}.editor-toolbar .color__con-oval{background-color:#393939}.editor-toolbar .color__combobox{display:flex;width:245px!important;margin:0}.bx--dropdown-list{height:160px;width:170px}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","\"use strict\";\nObject.defineProperty(exports, \"__esModule\", { value: true });\nexports.integerProp = void 0;\nconst util_1 = require(\"../util\");\nconst validators_1 = require(\"../validators\");\n/**\n * Allows any integer (validated at runtime).\n *\n * @param validator - Optional function for further runtime validation; should return `undefined` if valid, or an error string if invalid.\n */\nconst integerProp = (validator) => (0, util_1.propOptionsGenerator)(Number, validator, validators_1.isInteger);\nexports.integerProp = integerProp;\n","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./TheApp.vue?vue&type=style&index=0&id=497fc83a&prod&lang=scss&scoped=true\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"747c2f45\", content, shadowRoot)\n};","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./TextPanelOptions.vue?vue&type=style&index=0&id=467d1cc2&prod&lang=scss\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"2edee204\", content, shadowRoot)\n};","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PrintPositionsManagerFooter.vue?vue&type=style&index=0&id=28dccb76&prod&lang=scss\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"ffed1d3c\", content, shadowRoot)\n};","export default function requiredArgs(required, args) {\n  if (args.length < required) {\n    throw new TypeError(required + ' argument' + (required > 1 ? 's' : '') + ' required, but only ' + args.length + ' present');\n  }\n}","import _typeof from \"@babel/runtime/helpers/esm/typeof\";\nimport requiredArgs from \"../_lib/requiredArgs/index.js\";\n/**\n * @name isDate\n * @category Common Helpers\n * @summary Is the given value a date?\n *\n * @description\n * Returns true if the given value is an instance of Date. The function works for dates transferred across iframes.\n *\n * @param {*} value - the value to check\n * @returns {boolean} true if the given value is a date\n * @throws {TypeError} 1 arguments required\n *\n * @example\n * // For a valid date:\n * const result = isDate(new Date())\n * //=> true\n *\n * @example\n * // For an invalid date:\n * const result = isDate(new Date(NaN))\n * //=> true\n *\n * @example\n * // For some value:\n * const result = isDate('2014-02-31')\n * //=> false\n *\n * @example\n * // For an object:\n * const result = isDate({})\n * //=> false\n */\nexport default function isDate(value) {\n  requiredArgs(1, arguments);\n  return value instanceof Date || _typeof(value) === 'object' && Object.prototype.toString.call(value) === '[object Date]';\n}","import _typeof from \"@babel/runtime/helpers/esm/typeof\";\nimport requiredArgs from \"../_lib/requiredArgs/index.js\";\n/**\n * @name toDate\n * @category Common Helpers\n * @summary Convert the given argument to an instance of Date.\n *\n * @description\n * Convert the given argument to an instance of Date.\n *\n * If the argument is an instance of Date, the function returns its clone.\n *\n * If the argument is a number, it is treated as a timestamp.\n *\n * If the argument is none of the above, the function returns Invalid Date.\n *\n * **Note**: *all* Date arguments passed to any *date-fns* function is processed by `toDate`.\n *\n * @param {Date|Number} argument - the value to convert\n * @returns {Date} the parsed date in the local time zone\n * @throws {TypeError} 1 argument required\n *\n * @example\n * // Clone the date:\n * const result = toDate(new Date(2014, 1, 11, 11, 30, 30))\n * //=> Tue Feb 11 2014 11:30:30\n *\n * @example\n * // Convert the timestamp to date:\n * const result = toDate(1392098430000)\n * //=> Tue Feb 11 2014 11:30:30\n */\nexport default function toDate(argument) {\n  requiredArgs(1, arguments);\n  var argStr = Object.prototype.toString.call(argument);\n\n  // Clone the date\n  if (argument instanceof Date || _typeof(argument) === 'object' && argStr === '[object Date]') {\n    // Prevent the date to lose the milliseconds when passed to new Date() in IE10\n    return new Date(argument.getTime());\n  } else if (typeof argument === 'number' || argStr === '[object Number]') {\n    return new Date(argument);\n  } else {\n    if ((typeof argument === 'string' || argStr === '[object String]') && typeof console !== 'undefined') {\n      // eslint-disable-next-line no-console\n      console.warn(\"Starting with v2.0.0-beta.1 date-fns doesn't accept strings as date arguments. Please use `parseISO` to parse strings. See: https://github.com/date-fns/date-fns/blob/master/docs/upgradeGuide.md#string-arguments\");\n      // eslint-disable-next-line no-console\n      console.warn(new Error().stack);\n    }\n    return new Date(NaN);\n  }\n}","import isDate from \"../isDate/index.js\";\nimport toDate from \"../toDate/index.js\";\nimport requiredArgs from \"../_lib/requiredArgs/index.js\";\n/**\n * @name isValid\n * @category Common Helpers\n * @summary Is the given date valid?\n *\n * @description\n * Returns false if argument is Invalid Date and true otherwise.\n * Argument is converted to Date using `toDate`. See [toDate]{@link https://date-fns.org/docs/toDate}\n * Invalid Date is a Date, whose time value is NaN.\n *\n * Time value of Date: http://es5.github.io/#x15.9.1.1\n *\n * @param {*} date - the date to check\n * @returns {Boolean} the date is valid\n * @throws {TypeError} 1 argument required\n *\n * @example\n * // For the valid date:\n * const result = isValid(new Date(2014, 1, 31))\n * //=> true\n *\n * @example\n * // For the value, convertable into a date:\n * const result = isValid(1393804800000)\n * //=> true\n *\n * @example\n * // For the invalid date:\n * const result = isValid(new Date(''))\n * //=> false\n */\nexport default function isValid(dirtyDate) {\n  requiredArgs(1, arguments);\n  if (!isDate(dirtyDate) && typeof dirtyDate !== 'number') {\n    return false;\n  }\n  var date = toDate(dirtyDate);\n  return !isNaN(Number(date));\n}","export default function toInteger(dirtyNumber) {\n  if (dirtyNumber === null || dirtyNumber === true || dirtyNumber === false) {\n    return NaN;\n  }\n  var number = Number(dirtyNumber);\n  if (isNaN(number)) {\n    return number;\n  }\n  return number < 0 ? Math.ceil(number) : Math.floor(number);\n}","import toInteger from \"../_lib/toInteger/index.js\";\nimport toDate from \"../toDate/index.js\";\nimport requiredArgs from \"../_lib/requiredArgs/index.js\";\n/**\n * @name addMilliseconds\n * @category Millisecond Helpers\n * @summary Add the specified number of milliseconds to the given date.\n *\n * @description\n * Add the specified number of milliseconds to the given date.\n *\n * @param {Date|Number} date - the date to be changed\n * @param {Number} amount - the amount of milliseconds to be added. Positive decimals will be rounded using `Math.floor`, decimals less than zero will be rounded using `Math.ceil`.\n * @returns {Date} the new date with the milliseconds added\n * @throws {TypeError} 2 arguments required\n *\n * @example\n * // Add 750 milliseconds to 10 July 2014 12:45:30.000:\n * const result = addMilliseconds(new Date(2014, 6, 10, 12, 45, 30, 0), 750)\n * //=> Thu Jul 10 2014 12:45:30.750\n */\nexport default function addMilliseconds(dirtyDate, dirtyAmount) {\n  requiredArgs(2, arguments);\n  var timestamp = toDate(dirtyDate).getTime();\n  var amount = toInteger(dirtyAmount);\n  return new Date(timestamp + amount);\n}","import addMilliseconds from \"../addMilliseconds/index.js\";\nimport requiredArgs from \"../_lib/requiredArgs/index.js\";\nimport toInteger from \"../_lib/toInteger/index.js\";\n/**\n * @name subMilliseconds\n * @category Millisecond Helpers\n * @summary Subtract the specified number of milliseconds from the given date.\n *\n * @description\n * Subtract the specified number of milliseconds from the given date.\n *\n * @param {Date|Number} date - the date to be changed\n * @param {Number} amount - the amount of milliseconds to be subtracted. Positive decimals will be rounded using `Math.floor`, decimals less than zero will be rounded using `Math.ceil`.\n * @returns {Date} the new date with the milliseconds subtracted\n * @throws {TypeError} 2 arguments required\n *\n * @example\n * // Subtract 750 milliseconds from 10 July 2014 12:45:30.000:\n * const result = subMilliseconds(new Date(2014, 6, 10, 12, 45, 30, 0), 750)\n * //=> Thu Jul 10 2014 12:45:29.250\n */\nexport default function subMilliseconds(dirtyDate, dirtyAmount) {\n  requiredArgs(2, arguments);\n  var amount = toInteger(dirtyAmount);\n  return addMilliseconds(dirtyDate, -amount);\n}","import toDate from \"../../toDate/index.js\";\nimport requiredArgs from \"../requiredArgs/index.js\";\nvar MILLISECONDS_IN_DAY = 86400000;\nexport default function getUTCDayOfYear(dirtyDate) {\n  requiredArgs(1, arguments);\n  var date = toDate(dirtyDate);\n  var timestamp = date.getTime();\n  date.setUTCMonth(0, 1);\n  date.setUTCHours(0, 0, 0, 0);\n  var startOfYearTimestamp = date.getTime();\n  var difference = timestamp - startOfYearTimestamp;\n  return Math.floor(difference / MILLISECONDS_IN_DAY) + 1;\n}","import toDate from \"../../toDate/index.js\";\nimport requiredArgs from \"../requiredArgs/index.js\";\nexport default function startOfUTCISOWeek(dirtyDate) {\n  requiredArgs(1, arguments);\n  var weekStartsOn = 1;\n  var date = toDate(dirtyDate);\n  var day = date.getUTCDay();\n  var diff = (day < weekStartsOn ? 7 : 0) + day - weekStartsOn;\n  date.setUTCDate(date.getUTCDate() - diff);\n  date.setUTCHours(0, 0, 0, 0);\n  return date;\n}","import toDate from \"../../toDate/index.js\";\nimport requiredArgs from \"../requiredArgs/index.js\";\nimport startOfUTCISOWeek from \"../startOfUTCISOWeek/index.js\";\nexport default function getUTCISOWeekYear(dirtyDate) {\n  requiredArgs(1, arguments);\n  var date = toDate(dirtyDate);\n  var year = date.getUTCFullYear();\n  var fourthOfJanuaryOfNextYear = new Date(0);\n  fourthOfJanuaryOfNextYear.setUTCFullYear(year + 1, 0, 4);\n  fourthOfJanuaryOfNextYear.setUTCHours(0, 0, 0, 0);\n  var startOfNextYear = startOfUTCISOWeek(fourthOfJanuaryOfNextYear);\n  var fourthOfJanuaryOfThisYear = new Date(0);\n  fourthOfJanuaryOfThisYear.setUTCFullYear(year, 0, 4);\n  fourthOfJanuaryOfThisYear.setUTCHours(0, 0, 0, 0);\n  var startOfThisYear = startOfUTCISOWeek(fourthOfJanuaryOfThisYear);\n  if (date.getTime() >= startOfNextYear.getTime()) {\n    return year + 1;\n  } else if (date.getTime() >= startOfThisYear.getTime()) {\n    return year;\n  } else {\n    return year - 1;\n  }\n}","import getUTCISOWeekYear from \"../getUTCISOWeekYear/index.js\";\nimport startOfUTCISOWeek from \"../startOfUTCISOWeek/index.js\";\nimport requiredArgs from \"../requiredArgs/index.js\";\nexport default function startOfUTCISOWeekYear(dirtyDate) {\n  requiredArgs(1, arguments);\n  var year = getUTCISOWeekYear(dirtyDate);\n  var fourthOfJanuary = new Date(0);\n  fourthOfJanuary.setUTCFullYear(year, 0, 4);\n  fourthOfJanuary.setUTCHours(0, 0, 0, 0);\n  var date = startOfUTCISOWeek(fourthOfJanuary);\n  return date;\n}","import toDate from \"../../toDate/index.js\";\nimport startOfUTCISOWeek from \"../startOfUTCISOWeek/index.js\";\nimport startOfUTCISOWeekYear from \"../startOfUTCISOWeekYear/index.js\";\nimport requiredArgs from \"../requiredArgs/index.js\";\nvar MILLISECONDS_IN_WEEK = 604800000;\nexport default function getUTCISOWeek(dirtyDate) {\n  requiredArgs(1, arguments);\n  var date = toDate(dirtyDate);\n  var diff = startOfUTCISOWeek(date).getTime() - startOfUTCISOWeekYear(date).getTime();\n\n  // Round the number of days to the nearest integer\n  // because the number of milliseconds in a week is not constant\n  // (e.g. it's different in the week of the daylight saving time clock shift)\n  return Math.round(diff / MILLISECONDS_IN_WEEK) + 1;\n}","var defaultOptions = {};\nexport function getDefaultOptions() {\n  return defaultOptions;\n}\nexport function setDefaultOptions(newOptions) {\n  defaultOptions = newOptions;\n}","import toDate from \"../../toDate/index.js\";\nimport requiredArgs from \"../requiredArgs/index.js\";\nimport toInteger from \"../toInteger/index.js\";\nimport { getDefaultOptions } from \"../defaultOptions/index.js\";\nexport default function startOfUTCWeek(dirtyDate, options) {\n  var _ref, _ref2, _ref3, _options$weekStartsOn, _options$locale, _options$locale$optio, _defaultOptions$local, _defaultOptions$local2;\n  requiredArgs(1, arguments);\n  var defaultOptions = getDefaultOptions();\n  var weekStartsOn = toInteger((_ref = (_ref2 = (_ref3 = (_options$weekStartsOn = options === null || options === void 0 ? void 0 : options.weekStartsOn) !== null && _options$weekStartsOn !== void 0 ? _options$weekStartsOn : options === null || options === void 0 ? void 0 : (_options$locale = options.locale) === null || _options$locale === void 0 ? void 0 : (_options$locale$optio = _options$locale.options) === null || _options$locale$optio === void 0 ? void 0 : _options$locale$optio.weekStartsOn) !== null && _ref3 !== void 0 ? _ref3 : defaultOptions.weekStartsOn) !== null && _ref2 !== void 0 ? _ref2 : (_defaultOptions$local = defaultOptions.locale) === null || _defaultOptions$local === void 0 ? void 0 : (_defaultOptions$local2 = _defaultOptions$local.options) === null || _defaultOptions$local2 === void 0 ? void 0 : _defaultOptions$local2.weekStartsOn) !== null && _ref !== void 0 ? _ref : 0);\n\n  // Test if weekStartsOn is between 0 and 6 _and_ is not NaN\n  if (!(weekStartsOn >= 0 && weekStartsOn <= 6)) {\n    throw new RangeError('weekStartsOn must be between 0 and 6 inclusively');\n  }\n  var date = toDate(dirtyDate);\n  var day = date.getUTCDay();\n  var diff = (day < weekStartsOn ? 7 : 0) + day - weekStartsOn;\n  date.setUTCDate(date.getUTCDate() - diff);\n  date.setUTCHours(0, 0, 0, 0);\n  return date;\n}","import toDate from \"../../toDate/index.js\";\nimport requiredArgs from \"../requiredArgs/index.js\";\nimport startOfUTCWeek from \"../startOfUTCWeek/index.js\";\nimport toInteger from \"../toInteger/index.js\";\nimport { getDefaultOptions } from \"../defaultOptions/index.js\";\nexport default function getUTCWeekYear(dirtyDate, options) {\n  var _ref, _ref2, _ref3, _options$firstWeekCon, _options$locale, _options$locale$optio, _defaultOptions$local, _defaultOptions$local2;\n  requiredArgs(1, arguments);\n  var date = toDate(dirtyDate);\n  var year = date.getUTCFullYear();\n  var defaultOptions = getDefaultOptions();\n  var firstWeekContainsDate = toInteger((_ref = (_ref2 = (_ref3 = (_options$firstWeekCon = options === null || options === void 0 ? void 0 : options.firstWeekContainsDate) !== null && _options$firstWeekCon !== void 0 ? _options$firstWeekCon : options === null || options === void 0 ? void 0 : (_options$locale = options.locale) === null || _options$locale === void 0 ? void 0 : (_options$locale$optio = _options$locale.options) === null || _options$locale$optio === void 0 ? void 0 : _options$locale$optio.firstWeekContainsDate) !== null && _ref3 !== void 0 ? _ref3 : defaultOptions.firstWeekContainsDate) !== null && _ref2 !== void 0 ? _ref2 : (_defaultOptions$local = defaultOptions.locale) === null || _defaultOptions$local === void 0 ? void 0 : (_defaultOptions$local2 = _defaultOptions$local.options) === null || _defaultOptions$local2 === void 0 ? void 0 : _defaultOptions$local2.firstWeekContainsDate) !== null && _ref !== void 0 ? _ref : 1);\n\n  // Test if weekStartsOn is between 1 and 7 _and_ is not NaN\n  if (!(firstWeekContainsDate >= 1 && firstWeekContainsDate <= 7)) {\n    throw new RangeError('firstWeekContainsDate must be between 1 and 7 inclusively');\n  }\n  var firstWeekOfNextYear = new Date(0);\n  firstWeekOfNextYear.setUTCFullYear(year + 1, 0, firstWeekContainsDate);\n  firstWeekOfNextYear.setUTCHours(0, 0, 0, 0);\n  var startOfNextYear = startOfUTCWeek(firstWeekOfNextYear, options);\n  var firstWeekOfThisYear = new Date(0);\n  firstWeekOfThisYear.setUTCFullYear(year, 0, firstWeekContainsDate);\n  firstWeekOfThisYear.setUTCHours(0, 0, 0, 0);\n  var startOfThisYear = startOfUTCWeek(firstWeekOfThisYear, options);\n  if (date.getTime() >= startOfNextYear.getTime()) {\n    return year + 1;\n  } else if (date.getTime() >= startOfThisYear.getTime()) {\n    return year;\n  } else {\n    return year - 1;\n  }\n}","import getUTCWeekYear from \"../getUTCWeekYear/index.js\";\nimport requiredArgs from \"../requiredArgs/index.js\";\nimport startOfUTCWeek from \"../startOfUTCWeek/index.js\";\nimport toInteger from \"../toInteger/index.js\";\nimport { getDefaultOptions } from \"../defaultOptions/index.js\";\nexport default function startOfUTCWeekYear(dirtyDate, options) {\n  var _ref, _ref2, _ref3, _options$firstWeekCon, _options$locale, _options$locale$optio, _defaultOptions$local, _defaultOptions$local2;\n  requiredArgs(1, arguments);\n  var defaultOptions = getDefaultOptions();\n  var firstWeekContainsDate = toInteger((_ref = (_ref2 = (_ref3 = (_options$firstWeekCon = options === null || options === void 0 ? void 0 : options.firstWeekContainsDate) !== null && _options$firstWeekCon !== void 0 ? _options$firstWeekCon : options === null || options === void 0 ? void 0 : (_options$locale = options.locale) === null || _options$locale === void 0 ? void 0 : (_options$locale$optio = _options$locale.options) === null || _options$locale$optio === void 0 ? void 0 : _options$locale$optio.firstWeekContainsDate) !== null && _ref3 !== void 0 ? _ref3 : defaultOptions.firstWeekContainsDate) !== null && _ref2 !== void 0 ? _ref2 : (_defaultOptions$local = defaultOptions.locale) === null || _defaultOptions$local === void 0 ? void 0 : (_defaultOptions$local2 = _defaultOptions$local.options) === null || _defaultOptions$local2 === void 0 ? void 0 : _defaultOptions$local2.firstWeekContainsDate) !== null && _ref !== void 0 ? _ref : 1);\n  var year = getUTCWeekYear(dirtyDate, options);\n  var firstWeek = new Date(0);\n  firstWeek.setUTCFullYear(year, 0, firstWeekContainsDate);\n  firstWeek.setUTCHours(0, 0, 0, 0);\n  var date = startOfUTCWeek(firstWeek, options);\n  return date;\n}","import toDate from \"../../toDate/index.js\";\nimport startOfUTCWeek from \"../startOfUTCWeek/index.js\";\nimport startOfUTCWeekYear from \"../startOfUTCWeekYear/index.js\";\nimport requiredArgs from \"../requiredArgs/index.js\";\nvar MILLISECONDS_IN_WEEK = 604800000;\nexport default function getUTCWeek(dirtyDate, options) {\n  requiredArgs(1, arguments);\n  var date = toDate(dirtyDate);\n  var diff = startOfUTCWeek(date, options).getTime() - startOfUTCWeekYear(date, options).getTime();\n\n  // Round the number of days to the nearest integer\n  // because the number of milliseconds in a week is not constant\n  // (e.g. it's different in the week of the daylight saving time clock shift)\n  return Math.round(diff / MILLISECONDS_IN_WEEK) + 1;\n}","export default function addLeadingZeros(number, targetLength) {\n  var sign = number < 0 ? '-' : '';\n  var output = Math.abs(number).toString();\n  while (output.length < targetLength) {\n    output = '0' + output;\n  }\n  return sign + output;\n}","import addLeadingZeros from \"../../addLeadingZeros/index.js\";\n/*\n * |     | Unit                           |     | Unit                           |\n * |-----|--------------------------------|-----|--------------------------------|\n * |  a  | AM, PM                         |  A* |                                |\n * |  d  | Day of month                   |  D  |                                |\n * |  h  | Hour [1-12]                    |  H  | Hour [0-23]                    |\n * |  m  | Minute                         |  M  | Month                          |\n * |  s  | Second                         |  S  | Fraction of second             |\n * |  y  | Year (abs)                     |  Y  |                                |\n *\n * Letters marked by * are not implemented but reserved by Unicode standard.\n */\nvar formatters = {\n  // Year\n  y: function y(date, token) {\n    // From http://www.unicode.org/reports/tr35/tr35-31/tr35-dates.html#Date_Format_tokens\n    // | Year     |     y | yy |   yyy |  yyyy | yyyyy |\n    // |----------|-------|----|-------|-------|-------|\n    // | AD 1     |     1 | 01 |   001 |  0001 | 00001 |\n    // | AD 12    |    12 | 12 |   012 |  0012 | 00012 |\n    // | AD 123   |   123 | 23 |   123 |  0123 | 00123 |\n    // | AD 1234  |  1234 | 34 |  1234 |  1234 | 01234 |\n    // | AD 12345 | 12345 | 45 | 12345 | 12345 | 12345 |\n\n    var signedYear = date.getUTCFullYear();\n    // Returns 1 for 1 BC (which is year 0 in JavaScript)\n    var year = signedYear > 0 ? signedYear : 1 - signedYear;\n    return addLeadingZeros(token === 'yy' ? year % 100 : year, token.length);\n  },\n  // Month\n  M: function M(date, token) {\n    var month = date.getUTCMonth();\n    return token === 'M' ? String(month + 1) : addLeadingZeros(month + 1, 2);\n  },\n  // Day of the month\n  d: function d(date, token) {\n    return addLeadingZeros(date.getUTCDate(), token.length);\n  },\n  // AM or PM\n  a: function a(date, token) {\n    var dayPeriodEnumValue = date.getUTCHours() / 12 >= 1 ? 'pm' : 'am';\n    switch (token) {\n      case 'a':\n      case 'aa':\n        return dayPeriodEnumValue.toUpperCase();\n      case 'aaa':\n        return dayPeriodEnumValue;\n      case 'aaaaa':\n        return dayPeriodEnumValue[0];\n      case 'aaaa':\n      default:\n        return dayPeriodEnumValue === 'am' ? 'a.m.' : 'p.m.';\n    }\n  },\n  // Hour [1-12]\n  h: function h(date, token) {\n    return addLeadingZeros(date.getUTCHours() % 12 || 12, token.length);\n  },\n  // Hour [0-23]\n  H: function H(date, token) {\n    return addLeadingZeros(date.getUTCHours(), token.length);\n  },\n  // Minute\n  m: function m(date, token) {\n    return addLeadingZeros(date.getUTCMinutes(), token.length);\n  },\n  // Second\n  s: function s(date, token) {\n    return addLeadingZeros(date.getUTCSeconds(), token.length);\n  },\n  // Fraction of second\n  S: function S(date, token) {\n    var numberOfDigits = token.length;\n    var milliseconds = date.getUTCMilliseconds();\n    var fractionalSeconds = Math.floor(milliseconds * Math.pow(10, numberOfDigits - 3));\n    return addLeadingZeros(fractionalSeconds, token.length);\n  }\n};\nexport default formatters;","import getUTCDayOfYear from \"../../../_lib/getUTCDayOfYear/index.js\";\nimport getUTCISOWeek from \"../../../_lib/getUTCISOWeek/index.js\";\nimport getUTCISOWeekYear from \"../../../_lib/getUTCISOWeekYear/index.js\";\nimport getUTCWeek from \"../../../_lib/getUTCWeek/index.js\";\nimport getUTCWeekYear from \"../../../_lib/getUTCWeekYear/index.js\";\nimport addLeadingZeros from \"../../addLeadingZeros/index.js\";\nimport lightFormatters from \"../lightFormatters/index.js\";\nvar dayPeriodEnum = {\n  am: 'am',\n  pm: 'pm',\n  midnight: 'midnight',\n  noon: 'noon',\n  morning: 'morning',\n  afternoon: 'afternoon',\n  evening: 'evening',\n  night: 'night'\n};\n/*\n * |     | Unit                           |     | Unit                           |\n * |-----|--------------------------------|-----|--------------------------------|\n * |  a  | AM, PM                         |  A* | Milliseconds in day            |\n * |  b  | AM, PM, noon, midnight         |  B  | Flexible day period            |\n * |  c  | Stand-alone local day of week  |  C* | Localized hour w/ day period   |\n * |  d  | Day of month                   |  D  | Day of year                    |\n * |  e  | Local day of week              |  E  | Day of week                    |\n * |  f  |                                |  F* | Day of week in month           |\n * |  g* | Modified Julian day            |  G  | Era                            |\n * |  h  | Hour [1-12]                    |  H  | Hour [0-23]                    |\n * |  i! | ISO day of week                |  I! | ISO week of year               |\n * |  j* | Localized hour w/ day period   |  J* | Localized hour w/o day period  |\n * |  k  | Hour [1-24]                    |  K  | Hour [0-11]                    |\n * |  l* | (deprecated)                   |  L  | Stand-alone month              |\n * |  m  | Minute                         |  M  | Month                          |\n * |  n  |                                |  N  |                                |\n * |  o! | Ordinal number modifier        |  O  | Timezone (GMT)                 |\n * |  p! | Long localized time            |  P! | Long localized date            |\n * |  q  | Stand-alone quarter            |  Q  | Quarter                        |\n * |  r* | Related Gregorian year         |  R! | ISO week-numbering year        |\n * |  s  | Second                         |  S  | Fraction of second             |\n * |  t! | Seconds timestamp              |  T! | Milliseconds timestamp         |\n * |  u  | Extended year                  |  U* | Cyclic year                    |\n * |  v* | Timezone (generic non-locat.)  |  V* | Timezone (location)            |\n * |  w  | Local week of year             |  W* | Week of month                  |\n * |  x  | Timezone (ISO-8601 w/o Z)      |  X  | Timezone (ISO-8601)            |\n * |  y  | Year (abs)                     |  Y  | Local week-numbering year      |\n * |  z  | Timezone (specific non-locat.) |  Z* | Timezone (aliases)             |\n *\n * Letters marked by * are not implemented but reserved by Unicode standard.\n *\n * Letters marked by ! are non-standard, but implemented by date-fns:\n * - `o` modifies the previous token to turn it into an ordinal (see `format` docs)\n * - `i` is ISO day of week. For `i` and `ii` is returns numeric ISO week days,\n *   i.e. 7 for Sunday, 1 for Monday, etc.\n * - `I` is ISO week of year, as opposed to `w` which is local week of year.\n * - `R` is ISO week-numbering year, as opposed to `Y` which is local week-numbering year.\n *   `R` is supposed to be used in conjunction with `I` and `i`\n *   for universal ISO week-numbering date, whereas\n *   `Y` is supposed to be used in conjunction with `w` and `e`\n *   for week-numbering date specific to the locale.\n * - `P` is long localized date format\n * - `p` is long localized time format\n */\n\nvar formatters = {\n  // Era\n  G: function G(date, token, localize) {\n    var era = date.getUTCFullYear() > 0 ? 1 : 0;\n    switch (token) {\n      // AD, BC\n      case 'G':\n      case 'GG':\n      case 'GGG':\n        return localize.era(era, {\n          width: 'abbreviated'\n        });\n      // A, B\n      case 'GGGGG':\n        return localize.era(era, {\n          width: 'narrow'\n        });\n      // Anno Domini, Before Christ\n      case 'GGGG':\n      default:\n        return localize.era(era, {\n          width: 'wide'\n        });\n    }\n  },\n  // Year\n  y: function y(date, token, localize) {\n    // Ordinal number\n    if (token === 'yo') {\n      var signedYear = date.getUTCFullYear();\n      // Returns 1 for 1 BC (which is year 0 in JavaScript)\n      var year = signedYear > 0 ? signedYear : 1 - signedYear;\n      return localize.ordinalNumber(year, {\n        unit: 'year'\n      });\n    }\n    return lightFormatters.y(date, token);\n  },\n  // Local week-numbering year\n  Y: function Y(date, token, localize, options) {\n    var signedWeekYear = getUTCWeekYear(date, options);\n    // Returns 1 for 1 BC (which is year 0 in JavaScript)\n    var weekYear = signedWeekYear > 0 ? signedWeekYear : 1 - signedWeekYear;\n\n    // Two digit year\n    if (token === 'YY') {\n      var twoDigitYear = weekYear % 100;\n      return addLeadingZeros(twoDigitYear, 2);\n    }\n\n    // Ordinal number\n    if (token === 'Yo') {\n      return localize.ordinalNumber(weekYear, {\n        unit: 'year'\n      });\n    }\n\n    // Padding\n    return addLeadingZeros(weekYear, token.length);\n  },\n  // ISO week-numbering year\n  R: function R(date, token) {\n    var isoWeekYear = getUTCISOWeekYear(date);\n\n    // Padding\n    return addLeadingZeros(isoWeekYear, token.length);\n  },\n  // Extended year. This is a single number designating the year of this calendar system.\n  // The main difference between `y` and `u` localizers are B.C. years:\n  // | Year | `y` | `u` |\n  // |------|-----|-----|\n  // | AC 1 |   1 |   1 |\n  // | BC 1 |   1 |   0 |\n  // | BC 2 |   2 |  -1 |\n  // Also `yy` always returns the last two digits of a year,\n  // while `uu` pads single digit years to 2 characters and returns other years unchanged.\n  u: function u(date, token) {\n    var year = date.getUTCFullYear();\n    return addLeadingZeros(year, token.length);\n  },\n  // Quarter\n  Q: function Q(date, token, localize) {\n    var quarter = Math.ceil((date.getUTCMonth() + 1) / 3);\n    switch (token) {\n      // 1, 2, 3, 4\n      case 'Q':\n        return String(quarter);\n      // 01, 02, 03, 04\n      case 'QQ':\n        return addLeadingZeros(quarter, 2);\n      // 1st, 2nd, 3rd, 4th\n      case 'Qo':\n        return localize.ordinalNumber(quarter, {\n          unit: 'quarter'\n        });\n      // Q1, Q2, Q3, Q4\n      case 'QQQ':\n        return localize.quarter(quarter, {\n          width: 'abbreviated',\n          context: 'formatting'\n        });\n      // 1, 2, 3, 4 (narrow quarter; could be not numerical)\n      case 'QQQQQ':\n        return localize.quarter(quarter, {\n          width: 'narrow',\n          context: 'formatting'\n        });\n      // 1st quarter, 2nd quarter, ...\n      case 'QQQQ':\n      default:\n        return localize.quarter(quarter, {\n          width: 'wide',\n          context: 'formatting'\n        });\n    }\n  },\n  // Stand-alone quarter\n  q: function q(date, token, localize) {\n    var quarter = Math.ceil((date.getUTCMonth() + 1) / 3);\n    switch (token) {\n      // 1, 2, 3, 4\n      case 'q':\n        return String(quarter);\n      // 01, 02, 03, 04\n      case 'qq':\n        return addLeadingZeros(quarter, 2);\n      // 1st, 2nd, 3rd, 4th\n      case 'qo':\n        return localize.ordinalNumber(quarter, {\n          unit: 'quarter'\n        });\n      // Q1, Q2, Q3, Q4\n      case 'qqq':\n        return localize.quarter(quarter, {\n          width: 'abbreviated',\n          context: 'standalone'\n        });\n      // 1, 2, 3, 4 (narrow quarter; could be not numerical)\n      case 'qqqqq':\n        return localize.quarter(quarter, {\n          width: 'narrow',\n          context: 'standalone'\n        });\n      // 1st quarter, 2nd quarter, ...\n      case 'qqqq':\n      default:\n        return localize.quarter(quarter, {\n          width: 'wide',\n          context: 'standalone'\n        });\n    }\n  },\n  // Month\n  M: function M(date, token, localize) {\n    var month = date.getUTCMonth();\n    switch (token) {\n      case 'M':\n      case 'MM':\n        return lightFormatters.M(date, token);\n      // 1st, 2nd, ..., 12th\n      case 'Mo':\n        return localize.ordinalNumber(month + 1, {\n          unit: 'month'\n        });\n      // Jan, Feb, ..., Dec\n      case 'MMM':\n        return localize.month(month, {\n          width: 'abbreviated',\n          context: 'formatting'\n        });\n      // J, F, ..., D\n      case 'MMMMM':\n        return localize.month(month, {\n          width: 'narrow',\n          context: 'formatting'\n        });\n      // January, February, ..., December\n      case 'MMMM':\n      default:\n        return localize.month(month, {\n          width: 'wide',\n          context: 'formatting'\n        });\n    }\n  },\n  // Stand-alone month\n  L: function L(date, token, localize) {\n    var month = date.getUTCMonth();\n    switch (token) {\n      // 1, 2, ..., 12\n      case 'L':\n        return String(month + 1);\n      // 01, 02, ..., 12\n      case 'LL':\n        return addLeadingZeros(month + 1, 2);\n      // 1st, 2nd, ..., 12th\n      case 'Lo':\n        return localize.ordinalNumber(month + 1, {\n          unit: 'month'\n        });\n      // Jan, Feb, ..., Dec\n      case 'LLL':\n        return localize.month(month, {\n          width: 'abbreviated',\n          context: 'standalone'\n        });\n      // J, F, ..., D\n      case 'LLLLL':\n        return localize.month(month, {\n          width: 'narrow',\n          context: 'standalone'\n        });\n      // January, February, ..., December\n      case 'LLLL':\n      default:\n        return localize.month(month, {\n          width: 'wide',\n          context: 'standalone'\n        });\n    }\n  },\n  // Local week of year\n  w: function w(date, token, localize, options) {\n    var week = getUTCWeek(date, options);\n    if (token === 'wo') {\n      return localize.ordinalNumber(week, {\n        unit: 'week'\n      });\n    }\n    return addLeadingZeros(week, token.length);\n  },\n  // ISO week of year\n  I: function I(date, token, localize) {\n    var isoWeek = getUTCISOWeek(date);\n    if (token === 'Io') {\n      return localize.ordinalNumber(isoWeek, {\n        unit: 'week'\n      });\n    }\n    return addLeadingZeros(isoWeek, token.length);\n  },\n  // Day of the month\n  d: function d(date, token, localize) {\n    if (token === 'do') {\n      return localize.ordinalNumber(date.getUTCDate(), {\n        unit: 'date'\n      });\n    }\n    return lightFormatters.d(date, token);\n  },\n  // Day of year\n  D: function D(date, token, localize) {\n    var dayOfYear = getUTCDayOfYear(date);\n    if (token === 'Do') {\n      return localize.ordinalNumber(dayOfYear, {\n        unit: 'dayOfYear'\n      });\n    }\n    return addLeadingZeros(dayOfYear, token.length);\n  },\n  // Day of week\n  E: function E(date, token, localize) {\n    var dayOfWeek = date.getUTCDay();\n    switch (token) {\n      // Tue\n      case 'E':\n      case 'EE':\n      case 'EEE':\n        return localize.day(dayOfWeek, {\n          width: 'abbreviated',\n          context: 'formatting'\n        });\n      // T\n      case 'EEEEE':\n        return localize.day(dayOfWeek, {\n          width: 'narrow',\n          context: 'formatting'\n        });\n      // Tu\n      case 'EEEEEE':\n        return localize.day(dayOfWeek, {\n          width: 'short',\n          context: 'formatting'\n        });\n      // Tuesday\n      case 'EEEE':\n      default:\n        return localize.day(dayOfWeek, {\n          width: 'wide',\n          context: 'formatting'\n        });\n    }\n  },\n  // Local day of week\n  e: function e(date, token, localize, options) {\n    var dayOfWeek = date.getUTCDay();\n    var localDayOfWeek = (dayOfWeek - options.weekStartsOn + 8) % 7 || 7;\n    switch (token) {\n      // Numerical value (Nth day of week with current locale or weekStartsOn)\n      case 'e':\n        return String(localDayOfWeek);\n      // Padded numerical value\n      case 'ee':\n        return addLeadingZeros(localDayOfWeek, 2);\n      // 1st, 2nd, ..., 7th\n      case 'eo':\n        return localize.ordinalNumber(localDayOfWeek, {\n          unit: 'day'\n        });\n      case 'eee':\n        return localize.day(dayOfWeek, {\n          width: 'abbreviated',\n          context: 'formatting'\n        });\n      // T\n      case 'eeeee':\n        return localize.day(dayOfWeek, {\n          width: 'narrow',\n          context: 'formatting'\n        });\n      // Tu\n      case 'eeeeee':\n        return localize.day(dayOfWeek, {\n          width: 'short',\n          context: 'formatting'\n        });\n      // Tuesday\n      case 'eeee':\n      default:\n        return localize.day(dayOfWeek, {\n          width: 'wide',\n          context: 'formatting'\n        });\n    }\n  },\n  // Stand-alone local day of week\n  c: function c(date, token, localize, options) {\n    var dayOfWeek = date.getUTCDay();\n    var localDayOfWeek = (dayOfWeek - options.weekStartsOn + 8) % 7 || 7;\n    switch (token) {\n      // Numerical value (same as in `e`)\n      case 'c':\n        return String(localDayOfWeek);\n      // Padded numerical value\n      case 'cc':\n        return addLeadingZeros(localDayOfWeek, token.length);\n      // 1st, 2nd, ..., 7th\n      case 'co':\n        return localize.ordinalNumber(localDayOfWeek, {\n          unit: 'day'\n        });\n      case 'ccc':\n        return localize.day(dayOfWeek, {\n          width: 'abbreviated',\n          context: 'standalone'\n        });\n      // T\n      case 'ccccc':\n        return localize.day(dayOfWeek, {\n          width: 'narrow',\n          context: 'standalone'\n        });\n      // Tu\n      case 'cccccc':\n        return localize.day(dayOfWeek, {\n          width: 'short',\n          context: 'standalone'\n        });\n      // Tuesday\n      case 'cccc':\n      default:\n        return localize.day(dayOfWeek, {\n          width: 'wide',\n          context: 'standalone'\n        });\n    }\n  },\n  // ISO day of week\n  i: function i(date, token, localize) {\n    var dayOfWeek = date.getUTCDay();\n    var isoDayOfWeek = dayOfWeek === 0 ? 7 : dayOfWeek;\n    switch (token) {\n      // 2\n      case 'i':\n        return String(isoDayOfWeek);\n      // 02\n      case 'ii':\n        return addLeadingZeros(isoDayOfWeek, token.length);\n      // 2nd\n      case 'io':\n        return localize.ordinalNumber(isoDayOfWeek, {\n          unit: 'day'\n        });\n      // Tue\n      case 'iii':\n        return localize.day(dayOfWeek, {\n          width: 'abbreviated',\n          context: 'formatting'\n        });\n      // T\n      case 'iiiii':\n        return localize.day(dayOfWeek, {\n          width: 'narrow',\n          context: 'formatting'\n        });\n      // Tu\n      case 'iiiiii':\n        return localize.day(dayOfWeek, {\n          width: 'short',\n          context: 'formatting'\n        });\n      // Tuesday\n      case 'iiii':\n      default:\n        return localize.day(dayOfWeek, {\n          width: 'wide',\n          context: 'formatting'\n        });\n    }\n  },\n  // AM or PM\n  a: function a(date, token, localize) {\n    var hours = date.getUTCHours();\n    var dayPeriodEnumValue = hours / 12 >= 1 ? 'pm' : 'am';\n    switch (token) {\n      case 'a':\n      case 'aa':\n        return localize.dayPeriod(dayPeriodEnumValue, {\n          width: 'abbreviated',\n          context: 'formatting'\n        });\n      case 'aaa':\n        return localize.dayPeriod(dayPeriodEnumValue, {\n          width: 'abbreviated',\n          context: 'formatting'\n        }).toLowerCase();\n      case 'aaaaa':\n        return localize.dayPeriod(dayPeriodEnumValue, {\n          width: 'narrow',\n          context: 'formatting'\n        });\n      case 'aaaa':\n      default:\n        return localize.dayPeriod(dayPeriodEnumValue, {\n          width: 'wide',\n          context: 'formatting'\n        });\n    }\n  },\n  // AM, PM, midnight, noon\n  b: function b(date, token, localize) {\n    var hours = date.getUTCHours();\n    var dayPeriodEnumValue;\n    if (hours === 12) {\n      dayPeriodEnumValue = dayPeriodEnum.noon;\n    } else if (hours === 0) {\n      dayPeriodEnumValue = dayPeriodEnum.midnight;\n    } else {\n      dayPeriodEnumValue = hours / 12 >= 1 ? 'pm' : 'am';\n    }\n    switch (token) {\n      case 'b':\n      case 'bb':\n        return localize.dayPeriod(dayPeriodEnumValue, {\n          width: 'abbreviated',\n          context: 'formatting'\n        });\n      case 'bbb':\n        return localize.dayPeriod(dayPeriodEnumValue, {\n          width: 'abbreviated',\n          context: 'formatting'\n        }).toLowerCase();\n      case 'bbbbb':\n        return localize.dayPeriod(dayPeriodEnumValue, {\n          width: 'narrow',\n          context: 'formatting'\n        });\n      case 'bbbb':\n      default:\n        return localize.dayPeriod(dayPeriodEnumValue, {\n          width: 'wide',\n          context: 'formatting'\n        });\n    }\n  },\n  // in the morning, in the afternoon, in the evening, at night\n  B: function B(date, token, localize) {\n    var hours = date.getUTCHours();\n    var dayPeriodEnumValue;\n    if (hours >= 17) {\n      dayPeriodEnumValue = dayPeriodEnum.evening;\n    } else if (hours >= 12) {\n      dayPeriodEnumValue = dayPeriodEnum.afternoon;\n    } else if (hours >= 4) {\n      dayPeriodEnumValue = dayPeriodEnum.morning;\n    } else {\n      dayPeriodEnumValue = dayPeriodEnum.night;\n    }\n    switch (token) {\n      case 'B':\n      case 'BB':\n      case 'BBB':\n        return localize.dayPeriod(dayPeriodEnumValue, {\n          width: 'abbreviated',\n          context: 'formatting'\n        });\n      case 'BBBBB':\n        return localize.dayPeriod(dayPeriodEnumValue, {\n          width: 'narrow',\n          context: 'formatting'\n        });\n      case 'BBBB':\n      default:\n        return localize.dayPeriod(dayPeriodEnumValue, {\n          width: 'wide',\n          context: 'formatting'\n        });\n    }\n  },\n  // Hour [1-12]\n  h: function h(date, token, localize) {\n    if (token === 'ho') {\n      var hours = date.getUTCHours() % 12;\n      if (hours === 0) hours = 12;\n      return localize.ordinalNumber(hours, {\n        unit: 'hour'\n      });\n    }\n    return lightFormatters.h(date, token);\n  },\n  // Hour [0-23]\n  H: function H(date, token, localize) {\n    if (token === 'Ho') {\n      return localize.ordinalNumber(date.getUTCHours(), {\n        unit: 'hour'\n      });\n    }\n    return lightFormatters.H(date, token);\n  },\n  // Hour [0-11]\n  K: function K(date, token, localize) {\n    var hours = date.getUTCHours() % 12;\n    if (token === 'Ko') {\n      return localize.ordinalNumber(hours, {\n        unit: 'hour'\n      });\n    }\n    return addLeadingZeros(hours, token.length);\n  },\n  // Hour [1-24]\n  k: function k(date, token, localize) {\n    var hours = date.getUTCHours();\n    if (hours === 0) hours = 24;\n    if (token === 'ko') {\n      return localize.ordinalNumber(hours, {\n        unit: 'hour'\n      });\n    }\n    return addLeadingZeros(hours, token.length);\n  },\n  // Minute\n  m: function m(date, token, localize) {\n    if (token === 'mo') {\n      return localize.ordinalNumber(date.getUTCMinutes(), {\n        unit: 'minute'\n      });\n    }\n    return lightFormatters.m(date, token);\n  },\n  // Second\n  s: function s(date, token, localize) {\n    if (token === 'so') {\n      return localize.ordinalNumber(date.getUTCSeconds(), {\n        unit: 'second'\n      });\n    }\n    return lightFormatters.s(date, token);\n  },\n  // Fraction of second\n  S: function S(date, token) {\n    return lightFormatters.S(date, token);\n  },\n  // Timezone (ISO-8601. If offset is 0, output is always `'Z'`)\n  X: function X(date, token, _localize, options) {\n    var originalDate = options._originalDate || date;\n    var timezoneOffset = originalDate.getTimezoneOffset();\n    if (timezoneOffset === 0) {\n      return 'Z';\n    }\n    switch (token) {\n      // Hours and optional minutes\n      case 'X':\n        return formatTimezoneWithOptionalMinutes(timezoneOffset);\n\n      // Hours, minutes and optional seconds without `:` delimiter\n      // Note: neither ISO-8601 nor JavaScript supports seconds in timezone offsets\n      // so this token always has the same output as `XX`\n      case 'XXXX':\n      case 'XX':\n        // Hours and minutes without `:` delimiter\n        return formatTimezone(timezoneOffset);\n\n      // Hours, minutes and optional seconds with `:` delimiter\n      // Note: neither ISO-8601 nor JavaScript supports seconds in timezone offsets\n      // so this token always has the same output as `XXX`\n      case 'XXXXX':\n      case 'XXX': // Hours and minutes with `:` delimiter\n      default:\n        return formatTimezone(timezoneOffset, ':');\n    }\n  },\n  // Timezone (ISO-8601. If offset is 0, output is `'+00:00'` or equivalent)\n  x: function x(date, token, _localize, options) {\n    var originalDate = options._originalDate || date;\n    var timezoneOffset = originalDate.getTimezoneOffset();\n    switch (token) {\n      // Hours and optional minutes\n      case 'x':\n        return formatTimezoneWithOptionalMinutes(timezoneOffset);\n\n      // Hours, minutes and optional seconds without `:` delimiter\n      // Note: neither ISO-8601 nor JavaScript supports seconds in timezone offsets\n      // so this token always has the same output as `xx`\n      case 'xxxx':\n      case 'xx':\n        // Hours and minutes without `:` delimiter\n        return formatTimezone(timezoneOffset);\n\n      // Hours, minutes and optional seconds with `:` delimiter\n      // Note: neither ISO-8601 nor JavaScript supports seconds in timezone offsets\n      // so this token always has the same output as `xxx`\n      case 'xxxxx':\n      case 'xxx': // Hours and minutes with `:` delimiter\n      default:\n        return formatTimezone(timezoneOffset, ':');\n    }\n  },\n  // Timezone (GMT)\n  O: function O(date, token, _localize, options) {\n    var originalDate = options._originalDate || date;\n    var timezoneOffset = originalDate.getTimezoneOffset();\n    switch (token) {\n      // Short\n      case 'O':\n      case 'OO':\n      case 'OOO':\n        return 'GMT' + formatTimezoneShort(timezoneOffset, ':');\n      // Long\n      case 'OOOO':\n      default:\n        return 'GMT' + formatTimezone(timezoneOffset, ':');\n    }\n  },\n  // Timezone (specific non-location)\n  z: function z(date, token, _localize, options) {\n    var originalDate = options._originalDate || date;\n    var timezoneOffset = originalDate.getTimezoneOffset();\n    switch (token) {\n      // Short\n      case 'z':\n      case 'zz':\n      case 'zzz':\n        return 'GMT' + formatTimezoneShort(timezoneOffset, ':');\n      // Long\n      case 'zzzz':\n      default:\n        return 'GMT' + formatTimezone(timezoneOffset, ':');\n    }\n  },\n  // Seconds timestamp\n  t: function t(date, token, _localize, options) {\n    var originalDate = options._originalDate || date;\n    var timestamp = Math.floor(originalDate.getTime() / 1000);\n    return addLeadingZeros(timestamp, token.length);\n  },\n  // Milliseconds timestamp\n  T: function T(date, token, _localize, options) {\n    var originalDate = options._originalDate || date;\n    var timestamp = originalDate.getTime();\n    return addLeadingZeros(timestamp, token.length);\n  }\n};\nfunction formatTimezoneShort(offset, dirtyDelimiter) {\n  var sign = offset > 0 ? '-' : '+';\n  var absOffset = Math.abs(offset);\n  var hours = Math.floor(absOffset / 60);\n  var minutes = absOffset % 60;\n  if (minutes === 0) {\n    return sign + String(hours);\n  }\n  var delimiter = dirtyDelimiter || '';\n  return sign + String(hours) + delimiter + addLeadingZeros(minutes, 2);\n}\nfunction formatTimezoneWithOptionalMinutes(offset, dirtyDelimiter) {\n  if (offset % 60 === 0) {\n    var sign = offset > 0 ? '-' : '+';\n    return sign + addLeadingZeros(Math.abs(offset) / 60, 2);\n  }\n  return formatTimezone(offset, dirtyDelimiter);\n}\nfunction formatTimezone(offset, dirtyDelimiter) {\n  var delimiter = dirtyDelimiter || '';\n  var sign = offset > 0 ? '-' : '+';\n  var absOffset = Math.abs(offset);\n  var hours = addLeadingZeros(Math.floor(absOffset / 60), 2);\n  var minutes = addLeadingZeros(absOffset % 60, 2);\n  return sign + hours + delimiter + minutes;\n}\nexport default formatters;","var dateLongFormatter = function dateLongFormatter(pattern, formatLong) {\n  switch (pattern) {\n    case 'P':\n      return formatLong.date({\n        width: 'short'\n      });\n    case 'PP':\n      return formatLong.date({\n        width: 'medium'\n      });\n    case 'PPP':\n      return formatLong.date({\n        width: 'long'\n      });\n    case 'PPPP':\n    default:\n      return formatLong.date({\n        width: 'full'\n      });\n  }\n};\nvar timeLongFormatter = function timeLongFormatter(pattern, formatLong) {\n  switch (pattern) {\n    case 'p':\n      return formatLong.time({\n        width: 'short'\n      });\n    case 'pp':\n      return formatLong.time({\n        width: 'medium'\n      });\n    case 'ppp':\n      return formatLong.time({\n        width: 'long'\n      });\n    case 'pppp':\n    default:\n      return formatLong.time({\n        width: 'full'\n      });\n  }\n};\nvar dateTimeLongFormatter = function dateTimeLongFormatter(pattern, formatLong) {\n  var matchResult = pattern.match(/(P+)(p+)?/) || [];\n  var datePattern = matchResult[1];\n  var timePattern = matchResult[2];\n  if (!timePattern) {\n    return dateLongFormatter(pattern, formatLong);\n  }\n  var dateTimeFormat;\n  switch (datePattern) {\n    case 'P':\n      dateTimeFormat = formatLong.dateTime({\n        width: 'short'\n      });\n      break;\n    case 'PP':\n      dateTimeFormat = formatLong.dateTime({\n        width: 'medium'\n      });\n      break;\n    case 'PPP':\n      dateTimeFormat = formatLong.dateTime({\n        width: 'long'\n      });\n      break;\n    case 'PPPP':\n    default:\n      dateTimeFormat = formatLong.dateTime({\n        width: 'full'\n      });\n      break;\n  }\n  return dateTimeFormat.replace('{{date}}', dateLongFormatter(datePattern, formatLong)).replace('{{time}}', timeLongFormatter(timePattern, formatLong));\n};\nvar longFormatters = {\n  p: timeLongFormatter,\n  P: dateTimeLongFormatter\n};\nexport default longFormatters;","/**\n * Google Chrome as of 67.0.3396.87 introduced timezones with offset that includes seconds.\n * They usually appear for dates that denote time before the timezones were introduced\n * (e.g. for 'Europe/Prague' timezone the offset is GMT+00:57:44 before 1 October 1891\n * and GMT+01:00:00 after that date)\n *\n * Date#getTimezoneOffset returns the offset in minutes and would return 57 for the example above,\n * which would lead to incorrect calculations.\n *\n * This function returns the timezone offset in milliseconds that takes seconds in account.\n */\nexport default function getTimezoneOffsetInMilliseconds(date) {\n  var utcDate = new Date(Date.UTC(date.getFullYear(), date.getMonth(), date.getDate(), date.getHours(), date.getMinutes(), date.getSeconds(), date.getMilliseconds()));\n  utcDate.setUTCFullYear(date.getFullYear());\n  return date.getTime() - utcDate.getTime();\n}","var protectedDayOfYearTokens = ['D', 'DD'];\nvar protectedWeekYearTokens = ['YY', 'YYYY'];\nexport function isProtectedDayOfYearToken(token) {\n  return protectedDayOfYearTokens.indexOf(token) !== -1;\n}\nexport function isProtectedWeekYearToken(token) {\n  return protectedWeekYearTokens.indexOf(token) !== -1;\n}\nexport function throwProtectedError(token, format, input) {\n  if (token === 'YYYY') {\n    throw new RangeError(\"Use `yyyy` instead of `YYYY` (in `\".concat(format, \"`) for formatting years to the input `\").concat(input, \"`; see: https://github.com/date-fns/date-fns/blob/master/docs/unicodeTokens.md\"));\n  } else if (token === 'YY') {\n    throw new RangeError(\"Use `yy` instead of `YY` (in `\".concat(format, \"`) for formatting years to the input `\").concat(input, \"`; see: https://github.com/date-fns/date-fns/blob/master/docs/unicodeTokens.md\"));\n  } else if (token === 'D') {\n    throw new RangeError(\"Use `d` instead of `D` (in `\".concat(format, \"`) for formatting days of the month to the input `\").concat(input, \"`; see: https://github.com/date-fns/date-fns/blob/master/docs/unicodeTokens.md\"));\n  } else if (token === 'DD') {\n    throw new RangeError(\"Use `dd` instead of `DD` (in `\".concat(format, \"`) for formatting days of the month to the input `\").concat(input, \"`; see: https://github.com/date-fns/date-fns/blob/master/docs/unicodeTokens.md\"));\n  }\n}","var formatDistanceLocale = {\n  lessThanXSeconds: {\n    one: 'less than a second',\n    other: 'less than {{count}} seconds'\n  },\n  xSeconds: {\n    one: '1 second',\n    other: '{{count}} seconds'\n  },\n  halfAMinute: 'half a minute',\n  lessThanXMinutes: {\n    one: 'less than a minute',\n    other: 'less than {{count}} minutes'\n  },\n  xMinutes: {\n    one: '1 minute',\n    other: '{{count}} minutes'\n  },\n  aboutXHours: {\n    one: 'about 1 hour',\n    other: 'about {{count}} hours'\n  },\n  xHours: {\n    one: '1 hour',\n    other: '{{count}} hours'\n  },\n  xDays: {\n    one: '1 day',\n    other: '{{count}} days'\n  },\n  aboutXWeeks: {\n    one: 'about 1 week',\n    other: 'about {{count}} weeks'\n  },\n  xWeeks: {\n    one: '1 week',\n    other: '{{count}} weeks'\n  },\n  aboutXMonths: {\n    one: 'about 1 month',\n    other: 'about {{count}} months'\n  },\n  xMonths: {\n    one: '1 month',\n    other: '{{count}} months'\n  },\n  aboutXYears: {\n    one: 'about 1 year',\n    other: 'about {{count}} years'\n  },\n  xYears: {\n    one: '1 year',\n    other: '{{count}} years'\n  },\n  overXYears: {\n    one: 'over 1 year',\n    other: 'over {{count}} years'\n  },\n  almostXYears: {\n    one: 'almost 1 year',\n    other: 'almost {{count}} years'\n  }\n};\nvar formatDistance = function formatDistance(token, count, options) {\n  var result;\n  var tokenValue = formatDistanceLocale[token];\n  if (typeof tokenValue === 'string') {\n    result = tokenValue;\n  } else if (count === 1) {\n    result = tokenValue.one;\n  } else {\n    result = tokenValue.other.replace('{{count}}', count.toString());\n  }\n  if (options !== null && options !== void 0 && options.addSuffix) {\n    if (options.comparison && options.comparison > 0) {\n      return 'in ' + result;\n    } else {\n      return result + ' ago';\n    }\n  }\n  return result;\n};\nexport default formatDistance;","export default function buildFormatLongFn(args) {\n  return function () {\n    var options = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : {};\n    // TODO: Remove String()\n    var width = options.width ? String(options.width) : args.defaultWidth;\n    var format = args.formats[width] || args.formats[args.defaultWidth];\n    return format;\n  };\n}","import buildFormatLongFn from \"../../../_lib/buildFormatLongFn/index.js\";\nvar dateFormats = {\n  full: 'EEEE, MMMM do, y',\n  long: 'MMMM do, y',\n  medium: 'MMM d, y',\n  short: 'MM/dd/yyyy'\n};\nvar timeFormats = {\n  full: 'h:mm:ss a zzzz',\n  long: 'h:mm:ss a z',\n  medium: 'h:mm:ss a',\n  short: 'h:mm a'\n};\nvar dateTimeFormats = {\n  full: \"{{date}} 'at' {{time}}\",\n  long: \"{{date}} 'at' {{time}}\",\n  medium: '{{date}}, {{time}}',\n  short: '{{date}}, {{time}}'\n};\nvar formatLong = {\n  date: buildFormatLongFn({\n    formats: dateFormats,\n    defaultWidth: 'full'\n  }),\n  time: buildFormatLongFn({\n    formats: timeFormats,\n    defaultWidth: 'full'\n  }),\n  dateTime: buildFormatLongFn({\n    formats: dateTimeFormats,\n    defaultWidth: 'full'\n  })\n};\nexport default formatLong;","var formatRelativeLocale = {\n  lastWeek: \"'last' eeee 'at' p\",\n  yesterday: \"'yesterday at' p\",\n  today: \"'today at' p\",\n  tomorrow: \"'tomorrow at' p\",\n  nextWeek: \"eeee 'at' p\",\n  other: 'P'\n};\nvar formatRelative = function formatRelative(token, _date, _baseDate, _options) {\n  return formatRelativeLocale[token];\n};\nexport default formatRelative;","export default function buildLocalizeFn(args) {\n  return function (dirtyIndex, options) {\n    var context = options !== null && options !== void 0 && options.context ? String(options.context) : 'standalone';\n    var valuesArray;\n    if (context === 'formatting' && args.formattingValues) {\n      var defaultWidth = args.defaultFormattingWidth || args.defaultWidth;\n      var width = options !== null && options !== void 0 && options.width ? String(options.width) : defaultWidth;\n      valuesArray = args.formattingValues[width] || args.formattingValues[defaultWidth];\n    } else {\n      var _defaultWidth = args.defaultWidth;\n      var _width = options !== null && options !== void 0 && options.width ? String(options.width) : args.defaultWidth;\n      valuesArray = args.values[_width] || args.values[_defaultWidth];\n    }\n    var index = args.argumentCallback ? args.argumentCallback(dirtyIndex) : dirtyIndex;\n    // @ts-ignore: For some reason TypeScript just don't want to match it, no matter how hard we try. I challenge you to try to remove it!\n    return valuesArray[index];\n  };\n}","import buildLocalizeFn from \"../../../_lib/buildLocalizeFn/index.js\";\nvar eraValues = {\n  narrow: ['B', 'A'],\n  abbreviated: ['BC', 'AD'],\n  wide: ['Before Christ', 'Anno Domini']\n};\nvar quarterValues = {\n  narrow: ['1', '2', '3', '4'],\n  abbreviated: ['Q1', 'Q2', 'Q3', 'Q4'],\n  wide: ['1st quarter', '2nd quarter', '3rd quarter', '4th quarter']\n};\n\n// Note: in English, the names of days of the week and months are capitalized.\n// If you are making a new locale based on this one, check if the same is true for the language you're working on.\n// Generally, formatted dates should look like they are in the middle of a sentence,\n// e.g. in Spanish language the weekdays and months should be in the lowercase.\nvar monthValues = {\n  narrow: ['J', 'F', 'M', 'A', 'M', 'J', 'J', 'A', 'S', 'O', 'N', 'D'],\n  abbreviated: ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec'],\n  wide: ['January', 'February', 'March', 'April', 'May', 'June', 'July', 'August', 'September', 'October', 'November', 'December']\n};\nvar dayValues = {\n  narrow: ['S', 'M', 'T', 'W', 'T', 'F', 'S'],\n  short: ['Su', 'Mo', 'Tu', 'We', 'Th', 'Fr', 'Sa'],\n  abbreviated: ['Sun', 'Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat'],\n  wide: ['Sunday', 'Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday']\n};\nvar dayPeriodValues = {\n  narrow: {\n    am: 'a',\n    pm: 'p',\n    midnight: 'mi',\n    noon: 'n',\n    morning: 'morning',\n    afternoon: 'afternoon',\n    evening: 'evening',\n    night: 'night'\n  },\n  abbreviated: {\n    am: 'AM',\n    pm: 'PM',\n    midnight: 'midnight',\n    noon: 'noon',\n    morning: 'morning',\n    afternoon: 'afternoon',\n    evening: 'evening',\n    night: 'night'\n  },\n  wide: {\n    am: 'a.m.',\n    pm: 'p.m.',\n    midnight: 'midnight',\n    noon: 'noon',\n    morning: 'morning',\n    afternoon: 'afternoon',\n    evening: 'evening',\n    night: 'night'\n  }\n};\nvar formattingDayPeriodValues = {\n  narrow: {\n    am: 'a',\n    pm: 'p',\n    midnight: 'mi',\n    noon: 'n',\n    morning: 'in the morning',\n    afternoon: 'in the afternoon',\n    evening: 'in the evening',\n    night: 'at night'\n  },\n  abbreviated: {\n    am: 'AM',\n    pm: 'PM',\n    midnight: 'midnight',\n    noon: 'noon',\n    morning: 'in the morning',\n    afternoon: 'in the afternoon',\n    evening: 'in the evening',\n    night: 'at night'\n  },\n  wide: {\n    am: 'a.m.',\n    pm: 'p.m.',\n    midnight: 'midnight',\n    noon: 'noon',\n    morning: 'in the morning',\n    afternoon: 'in the afternoon',\n    evening: 'in the evening',\n    night: 'at night'\n  }\n};\nvar ordinalNumber = function ordinalNumber(dirtyNumber, _options) {\n  var number = Number(dirtyNumber);\n\n  // If ordinal numbers depend on context, for example,\n  // if they are different for different grammatical genders,\n  // use `options.unit`.\n  //\n  // `unit` can be 'year', 'quarter', 'month', 'week', 'date', 'dayOfYear',\n  // 'day', 'hour', 'minute', 'second'.\n\n  var rem100 = number % 100;\n  if (rem100 > 20 || rem100 < 10) {\n    switch (rem100 % 10) {\n      case 1:\n        return number + 'st';\n      case 2:\n        return number + 'nd';\n      case 3:\n        return number + 'rd';\n    }\n  }\n  return number + 'th';\n};\nvar localize = {\n  ordinalNumber: ordinalNumber,\n  era: buildLocalizeFn({\n    values: eraValues,\n    defaultWidth: 'wide'\n  }),\n  quarter: buildLocalizeFn({\n    values: quarterValues,\n    defaultWidth: 'wide',\n    argumentCallback: function argumentCallback(quarter) {\n      return quarter - 1;\n    }\n  }),\n  month: buildLocalizeFn({\n    values: monthValues,\n    defaultWidth: 'wide'\n  }),\n  day: buildLocalizeFn({\n    values: dayValues,\n    defaultWidth: 'wide'\n  }),\n  dayPeriod: buildLocalizeFn({\n    values: dayPeriodValues,\n    defaultWidth: 'wide',\n    formattingValues: formattingDayPeriodValues,\n    defaultFormattingWidth: 'wide'\n  })\n};\nexport default localize;","export default function buildMatchFn(args) {\n  return function (string) {\n    var options = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};\n    var width = options.width;\n    var matchPattern = width && args.matchPatterns[width] || args.matchPatterns[args.defaultMatchWidth];\n    var matchResult = string.match(matchPattern);\n    if (!matchResult) {\n      return null;\n    }\n    var matchedString = matchResult[0];\n    var parsePatterns = width && args.parsePatterns[width] || args.parsePatterns[args.defaultParseWidth];\n    var key = Array.isArray(parsePatterns) ? findIndex(parsePatterns, function (pattern) {\n      return pattern.test(matchedString);\n    }) : findKey(parsePatterns, function (pattern) {\n      return pattern.test(matchedString);\n    });\n    var value;\n    value = args.valueCallback ? args.valueCallback(key) : key;\n    value = options.valueCallback ? options.valueCallback(value) : value;\n    var rest = string.slice(matchedString.length);\n    return {\n      value: value,\n      rest: rest\n    };\n  };\n}\nfunction findKey(object, predicate) {\n  for (var key in object) {\n    if (object.hasOwnProperty(key) && predicate(object[key])) {\n      return key;\n    }\n  }\n  return undefined;\n}\nfunction findIndex(array, predicate) {\n  for (var key = 0; key < array.length; key++) {\n    if (predicate(array[key])) {\n      return key;\n    }\n  }\n  return undefined;\n}","export default function buildMatchPatternFn(args) {\n  return function (string) {\n    var options = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};\n    var matchResult = string.match(args.matchPattern);\n    if (!matchResult) return null;\n    var matchedString = matchResult[0];\n    var parseResult = string.match(args.parsePattern);\n    if (!parseResult) return null;\n    var value = args.valueCallback ? args.valueCallback(parseResult[0]) : parseResult[0];\n    value = options.valueCallback ? options.valueCallback(value) : value;\n    var rest = string.slice(matchedString.length);\n    return {\n      value: value,\n      rest: rest\n    };\n  };\n}","import buildMatchFn from \"../../../_lib/buildMatchFn/index.js\";\nimport buildMatchPatternFn from \"../../../_lib/buildMatchPatternFn/index.js\";\nvar matchOrdinalNumberPattern = /^(\\d+)(th|st|nd|rd)?/i;\nvar parseOrdinalNumberPattern = /\\d+/i;\nvar matchEraPatterns = {\n  narrow: /^(b|a)/i,\n  abbreviated: /^(b\\.?\\s?c\\.?|b\\.?\\s?c\\.?\\s?e\\.?|a\\.?\\s?d\\.?|c\\.?\\s?e\\.?)/i,\n  wide: /^(before christ|before common era|anno domini|common era)/i\n};\nvar parseEraPatterns = {\n  any: [/^b/i, /^(a|c)/i]\n};\nvar matchQuarterPatterns = {\n  narrow: /^[1234]/i,\n  abbreviated: /^q[1234]/i,\n  wide: /^[1234](th|st|nd|rd)? quarter/i\n};\nvar parseQuarterPatterns = {\n  any: [/1/i, /2/i, /3/i, /4/i]\n};\nvar matchMonthPatterns = {\n  narrow: /^[jfmasond]/i,\n  abbreviated: /^(jan|feb|mar|apr|may|jun|jul|aug|sep|oct|nov|dec)/i,\n  wide: /^(january|february|march|april|may|june|july|august|september|october|november|december)/i\n};\nvar parseMonthPatterns = {\n  narrow: [/^j/i, /^f/i, /^m/i, /^a/i, /^m/i, /^j/i, /^j/i, /^a/i, /^s/i, /^o/i, /^n/i, /^d/i],\n  any: [/^ja/i, /^f/i, /^mar/i, /^ap/i, /^may/i, /^jun/i, /^jul/i, /^au/i, /^s/i, /^o/i, /^n/i, /^d/i]\n};\nvar matchDayPatterns = {\n  narrow: /^[smtwf]/i,\n  short: /^(su|mo|tu|we|th|fr|sa)/i,\n  abbreviated: /^(sun|mon|tue|wed|thu|fri|sat)/i,\n  wide: /^(sunday|monday|tuesday|wednesday|thursday|friday|saturday)/i\n};\nvar parseDayPatterns = {\n  narrow: [/^s/i, /^m/i, /^t/i, /^w/i, /^t/i, /^f/i, /^s/i],\n  any: [/^su/i, /^m/i, /^tu/i, /^w/i, /^th/i, /^f/i, /^sa/i]\n};\nvar matchDayPeriodPatterns = {\n  narrow: /^(a|p|mi|n|(in the|at) (morning|afternoon|evening|night))/i,\n  any: /^([ap]\\.?\\s?m\\.?|midnight|noon|(in the|at) (morning|afternoon|evening|night))/i\n};\nvar parseDayPeriodPatterns = {\n  any: {\n    am: /^a/i,\n    pm: /^p/i,\n    midnight: /^mi/i,\n    noon: /^no/i,\n    morning: /morning/i,\n    afternoon: /afternoon/i,\n    evening: /evening/i,\n    night: /night/i\n  }\n};\nvar match = {\n  ordinalNumber: buildMatchPatternFn({\n    matchPattern: matchOrdinalNumberPattern,\n    parsePattern: parseOrdinalNumberPattern,\n    valueCallback: function valueCallback(value) {\n      return parseInt(value, 10);\n    }\n  }),\n  era: buildMatchFn({\n    matchPatterns: matchEraPatterns,\n    defaultMatchWidth: 'wide',\n    parsePatterns: parseEraPatterns,\n    defaultParseWidth: 'any'\n  }),\n  quarter: buildMatchFn({\n    matchPatterns: matchQuarterPatterns,\n    defaultMatchWidth: 'wide',\n    parsePatterns: parseQuarterPatterns,\n    defaultParseWidth: 'any',\n    valueCallback: function valueCallback(index) {\n      return index + 1;\n    }\n  }),\n  month: buildMatchFn({\n    matchPatterns: matchMonthPatterns,\n    defaultMatchWidth: 'wide',\n    parsePatterns: parseMonthPatterns,\n    defaultParseWidth: 'any'\n  }),\n  day: buildMatchFn({\n    matchPatterns: matchDayPatterns,\n    defaultMatchWidth: 'wide',\n    parsePatterns: parseDayPatterns,\n    defaultParseWidth: 'any'\n  }),\n  dayPeriod: buildMatchFn({\n    matchPatterns: matchDayPeriodPatterns,\n    defaultMatchWidth: 'any',\n    parsePatterns: parseDayPeriodPatterns,\n    defaultParseWidth: 'any'\n  })\n};\nexport default match;","import formatDistance from \"./_lib/formatDistance/index.js\";\nimport formatLong from \"./_lib/formatLong/index.js\";\nimport formatRelative from \"./_lib/formatRelative/index.js\";\nimport localize from \"./_lib/localize/index.js\";\nimport match from \"./_lib/match/index.js\";\n/**\n * @type {Locale}\n * @category Locales\n * @summary English locale (United States).\n * @language English\n * @iso-639-2 eng\n * @author Sasha Koss [@kossnocorp]{@link https://github.com/kossnocorp}\n * @author Lesha Koss [@leshakoss]{@link https://github.com/leshakoss}\n */\nvar locale = {\n  code: 'en-US',\n  formatDistance: formatDistance,\n  formatLong: formatLong,\n  formatRelative: formatRelative,\n  localize: localize,\n  match: match,\n  options: {\n    weekStartsOn: 0 /* Sunday */,\n    firstWeekContainsDate: 1\n  }\n};\nexport default locale;","import defaultLocale from \"../../locale/en-US/index.js\";\nexport default defaultLocale;","import isValid from \"../isValid/index.js\";\nimport subMilliseconds from \"../subMilliseconds/index.js\";\nimport toDate from \"../toDate/index.js\";\nimport formatters from \"../_lib/format/formatters/index.js\";\nimport longFormatters from \"../_lib/format/longFormatters/index.js\";\nimport getTimezoneOffsetInMilliseconds from \"../_lib/getTimezoneOffsetInMilliseconds/index.js\";\nimport { isProtectedDayOfYearToken, isProtectedWeekYearToken, throwProtectedError } from \"../_lib/protectedTokens/index.js\";\nimport toInteger from \"../_lib/toInteger/index.js\";\nimport requiredArgs from \"../_lib/requiredArgs/index.js\";\nimport { getDefaultOptions } from \"../_lib/defaultOptions/index.js\";\nimport defaultLocale from \"../_lib/defaultLocale/index.js\"; // This RegExp consists of three parts separated by `|`:\n// - [yYQqMLwIdDecihHKkms]o matches any available ordinal number token\n//   (one of the certain letters followed by `o`)\n// - (\\w)\\1* matches any sequences of the same letter\n// - '' matches two quote characters in a row\n// - '(''|[^'])+('|$) matches anything surrounded by two quote characters ('),\n//   except a single quote symbol, which ends the sequence.\n//   Two quote characters do not end the sequence.\n//   If there is no matching single quote\n//   then the sequence will continue until the end of the string.\n// - . matches any single character unmatched by previous parts of the RegExps\nvar formattingTokensRegExp = /[yYQqMLwIdDecihHKkms]o|(\\w)\\1*|''|'(''|[^'])+('|$)|./g;\n\n// This RegExp catches symbols escaped by quotes, and also\n// sequences of symbols P, p, and the combinations like `PPPPPPPppppp`\nvar longFormattingTokensRegExp = /P+p+|P+|p+|''|'(''|[^'])+('|$)|./g;\nvar escapedStringRegExp = /^'([^]*?)'?$/;\nvar doubleQuoteRegExp = /''/g;\nvar unescapedLatinCharacterRegExp = /[a-zA-Z]/;\n\n/**\n * @name format\n * @category Common Helpers\n * @summary Format the date.\n *\n * @description\n * Return the formatted date string in the given format. The result may vary by locale.\n *\n * > ⚠️ Please note that the `format` tokens differ from Moment.js and other libraries.\n * > See: https://github.com/date-fns/date-fns/blob/master/docs/unicodeTokens.md\n *\n * The characters wrapped between two single quotes characters (') are escaped.\n * Two single quotes in a row, whether inside or outside a quoted sequence, represent a 'real' single quote.\n * (see the last example)\n *\n * Format of the string is based on Unicode Technical Standard #35:\n * https://www.unicode.org/reports/tr35/tr35-dates.html#Date_Field_Symbol_Table\n * with a few additions (see note 7 below the table).\n *\n * Accepted patterns:\n * | Unit                            | Pattern | Result examples                   | Notes |\n * |---------------------------------|---------|-----------------------------------|-------|\n * | Era                             | G..GGG  | AD, BC                            |       |\n * |                                 | GGGG    | Anno Domini, Before Christ        | 2     |\n * |                                 | GGGGG   | A, B                              |       |\n * | Calendar year                   | y       | 44, 1, 1900, 2017                 | 5     |\n * |                                 | yo      | 44th, 1st, 0th, 17th              | 5,7   |\n * |                                 | yy      | 44, 01, 00, 17                    | 5     |\n * |                                 | yyy     | 044, 001, 1900, 2017              | 5     |\n * |                                 | yyyy    | 0044, 0001, 1900, 2017            | 5     |\n * |                                 | yyyyy   | ...                               | 3,5   |\n * | Local week-numbering year       | Y       | 44, 1, 1900, 2017                 | 5     |\n * |                                 | Yo      | 44th, 1st, 1900th, 2017th         | 5,7   |\n * |                                 | YY      | 44, 01, 00, 17                    | 5,8   |\n * |                                 | YYY     | 044, 001, 1900, 2017              | 5     |\n * |                                 | YYYY    | 0044, 0001, 1900, 2017            | 5,8   |\n * |                                 | YYYYY   | ...                               | 3,5   |\n * | ISO week-numbering year         | R       | -43, 0, 1, 1900, 2017             | 5,7   |\n * |                                 | RR      | -43, 00, 01, 1900, 2017           | 5,7   |\n * |                                 | RRR     | -043, 000, 001, 1900, 2017        | 5,7   |\n * |                                 | RRRR    | -0043, 0000, 0001, 1900, 2017     | 5,7   |\n * |                                 | RRRRR   | ...                               | 3,5,7 |\n * | Extended year                   | u       | -43, 0, 1, 1900, 2017             | 5     |\n * |                                 | uu      | -43, 01, 1900, 2017               | 5     |\n * |                                 | uuu     | -043, 001, 1900, 2017             | 5     |\n * |                                 | uuuu    | -0043, 0001, 1900, 2017           | 5     |\n * |                                 | uuuuu   | ...                               | 3,5   |\n * | Quarter (formatting)            | Q       | 1, 2, 3, 4                        |       |\n * |                                 | Qo      | 1st, 2nd, 3rd, 4th                | 7     |\n * |                                 | QQ      | 01, 02, 03, 04                    |       |\n * |                                 | QQQ     | Q1, Q2, Q3, Q4                    |       |\n * |                                 | QQQQ    | 1st quarter, 2nd quarter, ...     | 2     |\n * |                                 | QQQQQ   | 1, 2, 3, 4                        | 4     |\n * | Quarter (stand-alone)           | q       | 1, 2, 3, 4                        |       |\n * |                                 | qo      | 1st, 2nd, 3rd, 4th                | 7     |\n * |                                 | qq      | 01, 02, 03, 04                    |       |\n * |                                 | qqq     | Q1, Q2, Q3, Q4                    |       |\n * |                                 | qqqq    | 1st quarter, 2nd quarter, ...     | 2     |\n * |                                 | qqqqq   | 1, 2, 3, 4                        | 4     |\n * | Month (formatting)              | M       | 1, 2, ..., 12                     |       |\n * |                                 | Mo      | 1st, 2nd, ..., 12th               | 7     |\n * |                                 | MM      | 01, 02, ..., 12                   |       |\n * |                                 | MMM     | Jan, Feb, ..., Dec                |       |\n * |                                 | MMMM    | January, February, ..., December  | 2     |\n * |                                 | MMMMM   | J, F, ..., D                      |       |\n * | Month (stand-alone)             | L       | 1, 2, ..., 12                     |       |\n * |                                 | Lo      | 1st, 2nd, ..., 12th               | 7     |\n * |                                 | LL      | 01, 02, ..., 12                   |       |\n * |                                 | LLL     | Jan, Feb, ..., Dec                |       |\n * |                                 | LLLL    | January, February, ..., December  | 2     |\n * |                                 | LLLLL   | J, F, ..., D                      |       |\n * | Local week of year              | w       | 1, 2, ..., 53                     |       |\n * |                                 | wo      | 1st, 2nd, ..., 53th               | 7     |\n * |                                 | ww      | 01, 02, ..., 53                   |       |\n * | ISO week of year                | I       | 1, 2, ..., 53                     | 7     |\n * |                                 | Io      | 1st, 2nd, ..., 53th               | 7     |\n * |                                 | II      | 01, 02, ..., 53                   | 7     |\n * | Day of month                    | d       | 1, 2, ..., 31                     |       |\n * |                                 | do      | 1st, 2nd, ..., 31st               | 7     |\n * |                                 | dd      | 01, 02, ..., 31                   |       |\n * | Day of year                     | D       | 1, 2, ..., 365, 366               | 9     |\n * |                                 | Do      | 1st, 2nd, ..., 365th, 366th       | 7     |\n * |                                 | DD      | 01, 02, ..., 365, 366             | 9     |\n * |                                 | DDD     | 001, 002, ..., 365, 366           |       |\n * |                                 | DDDD    | ...                               | 3     |\n * | Day of week (formatting)        | E..EEE  | Mon, Tue, Wed, ..., Sun           |       |\n * |                                 | EEEE    | Monday, Tuesday, ..., Sunday      | 2     |\n * |                                 | EEEEE   | M, T, W, T, F, S, S               |       |\n * |                                 | EEEEEE  | Mo, Tu, We, Th, Fr, Sa, Su        |       |\n * | ISO day of week (formatting)    | i       | 1, 2, 3, ..., 7                   | 7     |\n * |                                 | io      | 1st, 2nd, ..., 7th                | 7     |\n * |                                 | ii      | 01, 02, ..., 07                   | 7     |\n * |                                 | iii     | Mon, Tue, Wed, ..., Sun           | 7     |\n * |                                 | iiii    | Monday, Tuesday, ..., Sunday      | 2,7   |\n * |                                 | iiiii   | M, T, W, T, F, S, S               | 7     |\n * |                                 | iiiiii  | Mo, Tu, We, Th, Fr, Sa, Su        | 7     |\n * | Local day of week (formatting)  | e       | 2, 3, 4, ..., 1                   |       |\n * |                                 | eo      | 2nd, 3rd, ..., 1st                | 7     |\n * |                                 | ee      | 02, 03, ..., 01                   |       |\n * |                                 | eee     | Mon, Tue, Wed, ..., Sun           |       |\n * |                                 | eeee    | Monday, Tuesday, ..., Sunday      | 2     |\n * |                                 | eeeee   | M, T, W, T, F, S, S               |       |\n * |                                 | eeeeee  | Mo, Tu, We, Th, Fr, Sa, Su        |       |\n * | Local day of week (stand-alone) | c       | 2, 3, 4, ..., 1                   |       |\n * |                                 | co      | 2nd, 3rd, ..., 1st                | 7     |\n * |                                 | cc      | 02, 03, ..., 01                   |       |\n * |                                 | ccc     | Mon, Tue, Wed, ..., Sun           |       |\n * |                                 | cccc    | Monday, Tuesday, ..., Sunday      | 2     |\n * |                                 | ccccc   | M, T, W, T, F, S, S               |       |\n * |                                 | cccccc  | Mo, Tu, We, Th, Fr, Sa, Su        |       |\n * | AM, PM                          | a..aa   | AM, PM                            |       |\n * |                                 | aaa     | am, pm                            |       |\n * |                                 | aaaa    | a.m., p.m.                        | 2     |\n * |                                 | aaaaa   | a, p                              |       |\n * | AM, PM, noon, midnight          | b..bb   | AM, PM, noon, midnight            |       |\n * |                                 | bbb     | am, pm, noon, midnight            |       |\n * |                                 | bbbb    | a.m., p.m., noon, midnight        | 2     |\n * |                                 | bbbbb   | a, p, n, mi                       |       |\n * | Flexible day period             | B..BBB  | at night, in the morning, ...     |       |\n * |                                 | BBBB    | at night, in the morning, ...     | 2     |\n * |                                 | BBBBB   | at night, in the morning, ...     |       |\n * | Hour [1-12]                     | h       | 1, 2, ..., 11, 12                 |       |\n * |                                 | ho      | 1st, 2nd, ..., 11th, 12th         | 7     |\n * |                                 | hh      | 01, 02, ..., 11, 12               |       |\n * | Hour [0-23]                     | H       | 0, 1, 2, ..., 23                  |       |\n * |                                 | Ho      | 0th, 1st, 2nd, ..., 23rd          | 7     |\n * |                                 | HH      | 00, 01, 02, ..., 23               |       |\n * | Hour [0-11]                     | K       | 1, 2, ..., 11, 0                  |       |\n * |                                 | Ko      | 1st, 2nd, ..., 11th, 0th          | 7     |\n * |                                 | KK      | 01, 02, ..., 11, 00               |       |\n * | Hour [1-24]                     | k       | 24, 1, 2, ..., 23                 |       |\n * |                                 | ko      | 24th, 1st, 2nd, ..., 23rd         | 7     |\n * |                                 | kk      | 24, 01, 02, ..., 23               |       |\n * | Minute                          | m       | 0, 1, ..., 59                     |       |\n * |                                 | mo      | 0th, 1st, ..., 59th               | 7     |\n * |                                 | mm      | 00, 01, ..., 59                   |       |\n * | Second                          | s       | 0, 1, ..., 59                     |       |\n * |                                 | so      | 0th, 1st, ..., 59th               | 7     |\n * |                                 | ss      | 00, 01, ..., 59                   |       |\n * | Fraction of second              | S       | 0, 1, ..., 9                      |       |\n * |                                 | SS      | 00, 01, ..., 99                   |       |\n * |                                 | SSS     | 000, 001, ..., 999                |       |\n * |                                 | SSSS    | ...                               | 3     |\n * | Timezone (ISO-8601 w/ Z)        | X       | -08, +0530, Z                     |       |\n * |                                 | XX      | -0800, +0530, Z                   |       |\n * |                                 | XXX     | -08:00, +05:30, Z                 |       |\n * |                                 | XXXX    | -0800, +0530, Z, +123456          | 2     |\n * |                                 | XXXXX   | -08:00, +05:30, Z, +12:34:56      |       |\n * | Timezone (ISO-8601 w/o Z)       | x       | -08, +0530, +00                   |       |\n * |                                 | xx      | -0800, +0530, +0000               |       |\n * |                                 | xxx     | -08:00, +05:30, +00:00            | 2     |\n * |                                 | xxxx    | -0800, +0530, +0000, +123456      |       |\n * |                                 | xxxxx   | -08:00, +05:30, +00:00, +12:34:56 |       |\n * | Timezone (GMT)                  | O...OOO | GMT-8, GMT+5:30, GMT+0            |       |\n * |                                 | OOOO    | GMT-08:00, GMT+05:30, GMT+00:00   | 2     |\n * | Timezone (specific non-locat.)  | z...zzz | GMT-8, GMT+5:30, GMT+0            | 6     |\n * |                                 | zzzz    | GMT-08:00, GMT+05:30, GMT+00:00   | 2,6   |\n * | Seconds timestamp               | t       | 512969520                         | 7     |\n * |                                 | tt      | ...                               | 3,7   |\n * | Milliseconds timestamp          | T       | 512969520900                      | 7     |\n * |                                 | TT      | ...                               | 3,7   |\n * | Long localized date             | P       | 04/29/1453                        | 7     |\n * |                                 | PP      | Apr 29, 1453                      | 7     |\n * |                                 | PPP     | April 29th, 1453                  | 7     |\n * |                                 | PPPP    | Friday, April 29th, 1453          | 2,7   |\n * | Long localized time             | p       | 12:00 AM                          | 7     |\n * |                                 | pp      | 12:00:00 AM                       | 7     |\n * |                                 | ppp     | 12:00:00 AM GMT+2                 | 7     |\n * |                                 | pppp    | 12:00:00 AM GMT+02:00             | 2,7   |\n * | Combination of date and time    | Pp      | 04/29/1453, 12:00 AM              | 7     |\n * |                                 | PPpp    | Apr 29, 1453, 12:00:00 AM         | 7     |\n * |                                 | PPPppp  | April 29th, 1453 at ...           | 7     |\n * |                                 | PPPPpppp| Friday, April 29th, 1453 at ...   | 2,7   |\n * Notes:\n * 1. \"Formatting\" units (e.g. formatting quarter) in the default en-US locale\n *    are the same as \"stand-alone\" units, but are different in some languages.\n *    \"Formatting\" units are declined according to the rules of the language\n *    in the context of a date. \"Stand-alone\" units are always nominative singular:\n *\n *    `format(new Date(2017, 10, 6), 'do LLLL', {locale: cs}) //=> '6. listopad'`\n *\n *    `format(new Date(2017, 10, 6), 'do MMMM', {locale: cs}) //=> '6. listopadu'`\n *\n * 2. Any sequence of the identical letters is a pattern, unless it is escaped by\n *    the single quote characters (see below).\n *    If the sequence is longer than listed in table (e.g. `EEEEEEEEEEE`)\n *    the output will be the same as default pattern for this unit, usually\n *    the longest one (in case of ISO weekdays, `EEEE`). Default patterns for units\n *    are marked with \"2\" in the last column of the table.\n *\n *    `format(new Date(2017, 10, 6), 'MMM') //=> 'Nov'`\n *\n *    `format(new Date(2017, 10, 6), 'MMMM') //=> 'November'`\n *\n *    `format(new Date(2017, 10, 6), 'MMMMM') //=> 'N'`\n *\n *    `format(new Date(2017, 10, 6), 'MMMMMM') //=> 'November'`\n *\n *    `format(new Date(2017, 10, 6), 'MMMMMMM') //=> 'November'`\n *\n * 3. Some patterns could be unlimited length (such as `yyyyyyyy`).\n *    The output will be padded with zeros to match the length of the pattern.\n *\n *    `format(new Date(2017, 10, 6), 'yyyyyyyy') //=> '00002017'`\n *\n * 4. `QQQQQ` and `qqqqq` could be not strictly numerical in some locales.\n *    These tokens represent the shortest form of the quarter.\n *\n * 5. The main difference between `y` and `u` patterns are B.C. years:\n *\n *    | Year | `y` | `u` |\n *    |------|-----|-----|\n *    | AC 1 |   1 |   1 |\n *    | BC 1 |   1 |   0 |\n *    | BC 2 |   2 |  -1 |\n *\n *    Also `yy` always returns the last two digits of a year,\n *    while `uu` pads single digit years to 2 characters and returns other years unchanged:\n *\n *    | Year | `yy` | `uu` |\n *    |------|------|------|\n *    | 1    |   01 |   01 |\n *    | 14   |   14 |   14 |\n *    | 376  |   76 |  376 |\n *    | 1453 |   53 | 1453 |\n *\n *    The same difference is true for local and ISO week-numbering years (`Y` and `R`),\n *    except local week-numbering years are dependent on `options.weekStartsOn`\n *    and `options.firstWeekContainsDate` (compare [getISOWeekYear]{@link https://date-fns.org/docs/getISOWeekYear}\n *    and [getWeekYear]{@link https://date-fns.org/docs/getWeekYear}).\n *\n * 6. Specific non-location timezones are currently unavailable in `date-fns`,\n *    so right now these tokens fall back to GMT timezones.\n *\n * 7. These patterns are not in the Unicode Technical Standard #35:\n *    - `i`: ISO day of week\n *    - `I`: ISO week of year\n *    - `R`: ISO week-numbering year\n *    - `t`: seconds timestamp\n *    - `T`: milliseconds timestamp\n *    - `o`: ordinal number modifier\n *    - `P`: long localized date\n *    - `p`: long localized time\n *\n * 8. `YY` and `YYYY` tokens represent week-numbering years but they are often confused with years.\n *    You should enable `options.useAdditionalWeekYearTokens` to use them. See: https://github.com/date-fns/date-fns/blob/master/docs/unicodeTokens.md\n *\n * 9. `D` and `DD` tokens represent days of the year but they are often confused with days of the month.\n *    You should enable `options.useAdditionalDayOfYearTokens` to use them. See: https://github.com/date-fns/date-fns/blob/master/docs/unicodeTokens.md\n *\n * @param {Date|Number} date - the original date\n * @param {String} format - the string of tokens\n * @param {Object} [options] - an object with options.\n * @param {Locale} [options.locale=defaultLocale] - the locale object. See [Locale]{@link https://date-fns.org/docs/Locale}\n * @param {0|1|2|3|4|5|6} [options.weekStartsOn=0] - the index of the first day of the week (0 - Sunday)\n * @param {Number} [options.firstWeekContainsDate=1] - the day of January, which is\n * @param {Boolean} [options.useAdditionalWeekYearTokens=false] - if true, allows usage of the week-numbering year tokens `YY` and `YYYY`;\n *   see: https://github.com/date-fns/date-fns/blob/master/docs/unicodeTokens.md\n * @param {Boolean} [options.useAdditionalDayOfYearTokens=false] - if true, allows usage of the day of year tokens `D` and `DD`;\n *   see: https://github.com/date-fns/date-fns/blob/master/docs/unicodeTokens.md\n * @returns {String} the formatted date string\n * @throws {TypeError} 2 arguments required\n * @throws {RangeError} `date` must not be Invalid Date\n * @throws {RangeError} `options.locale` must contain `localize` property\n * @throws {RangeError} `options.locale` must contain `formatLong` property\n * @throws {RangeError} `options.weekStartsOn` must be between 0 and 6\n * @throws {RangeError} `options.firstWeekContainsDate` must be between 1 and 7\n * @throws {RangeError} use `yyyy` instead of `YYYY` for formatting years using [format provided] to the input [input provided]; see: https://github.com/date-fns/date-fns/blob/master/docs/unicodeTokens.md\n * @throws {RangeError} use `yy` instead of `YY` for formatting years using [format provided] to the input [input provided]; see: https://github.com/date-fns/date-fns/blob/master/docs/unicodeTokens.md\n * @throws {RangeError} use `d` instead of `D` for formatting days of the month using [format provided] to the input [input provided]; see: https://github.com/date-fns/date-fns/blob/master/docs/unicodeTokens.md\n * @throws {RangeError} use `dd` instead of `DD` for formatting days of the month using [format provided] to the input [input provided]; see: https://github.com/date-fns/date-fns/blob/master/docs/unicodeTokens.md\n * @throws {RangeError} format string contains an unescaped latin alphabet character\n *\n * @example\n * // Represent 11 February 2014 in middle-endian format:\n * const result = format(new Date(2014, 1, 11), 'MM/dd/yyyy')\n * //=> '02/11/2014'\n *\n * @example\n * // Represent 2 July 2014 in Esperanto:\n * import { eoLocale } from 'date-fns/locale/eo'\n * const result = format(new Date(2014, 6, 2), \"do 'de' MMMM yyyy\", {\n *   locale: eoLocale\n * })\n * //=> '2-a de julio 2014'\n *\n * @example\n * // Escape string by single quote characters:\n * const result = format(new Date(2014, 6, 2, 15), \"h 'o''clock'\")\n * //=> \"3 o'clock\"\n */\n\nexport default function format(dirtyDate, dirtyFormatStr, options) {\n  var _ref, _options$locale, _ref2, _ref3, _ref4, _options$firstWeekCon, _options$locale2, _options$locale2$opti, _defaultOptions$local, _defaultOptions$local2, _ref5, _ref6, _ref7, _options$weekStartsOn, _options$locale3, _options$locale3$opti, _defaultOptions$local3, _defaultOptions$local4;\n  requiredArgs(2, arguments);\n  var formatStr = String(dirtyFormatStr);\n  var defaultOptions = getDefaultOptions();\n  var locale = (_ref = (_options$locale = options === null || options === void 0 ? void 0 : options.locale) !== null && _options$locale !== void 0 ? _options$locale : defaultOptions.locale) !== null && _ref !== void 0 ? _ref : defaultLocale;\n  var firstWeekContainsDate = toInteger((_ref2 = (_ref3 = (_ref4 = (_options$firstWeekCon = options === null || options === void 0 ? void 0 : options.firstWeekContainsDate) !== null && _options$firstWeekCon !== void 0 ? _options$firstWeekCon : options === null || options === void 0 ? void 0 : (_options$locale2 = options.locale) === null || _options$locale2 === void 0 ? void 0 : (_options$locale2$opti = _options$locale2.options) === null || _options$locale2$opti === void 0 ? void 0 : _options$locale2$opti.firstWeekContainsDate) !== null && _ref4 !== void 0 ? _ref4 : defaultOptions.firstWeekContainsDate) !== null && _ref3 !== void 0 ? _ref3 : (_defaultOptions$local = defaultOptions.locale) === null || _defaultOptions$local === void 0 ? void 0 : (_defaultOptions$local2 = _defaultOptions$local.options) === null || _defaultOptions$local2 === void 0 ? void 0 : _defaultOptions$local2.firstWeekContainsDate) !== null && _ref2 !== void 0 ? _ref2 : 1);\n\n  // Test if weekStartsOn is between 1 and 7 _and_ is not NaN\n  if (!(firstWeekContainsDate >= 1 && firstWeekContainsDate <= 7)) {\n    throw new RangeError('firstWeekContainsDate must be between 1 and 7 inclusively');\n  }\n  var weekStartsOn = toInteger((_ref5 = (_ref6 = (_ref7 = (_options$weekStartsOn = options === null || options === void 0 ? void 0 : options.weekStartsOn) !== null && _options$weekStartsOn !== void 0 ? _options$weekStartsOn : options === null || options === void 0 ? void 0 : (_options$locale3 = options.locale) === null || _options$locale3 === void 0 ? void 0 : (_options$locale3$opti = _options$locale3.options) === null || _options$locale3$opti === void 0 ? void 0 : _options$locale3$opti.weekStartsOn) !== null && _ref7 !== void 0 ? _ref7 : defaultOptions.weekStartsOn) !== null && _ref6 !== void 0 ? _ref6 : (_defaultOptions$local3 = defaultOptions.locale) === null || _defaultOptions$local3 === void 0 ? void 0 : (_defaultOptions$local4 = _defaultOptions$local3.options) === null || _defaultOptions$local4 === void 0 ? void 0 : _defaultOptions$local4.weekStartsOn) !== null && _ref5 !== void 0 ? _ref5 : 0);\n\n  // Test if weekStartsOn is between 0 and 6 _and_ is not NaN\n  if (!(weekStartsOn >= 0 && weekStartsOn <= 6)) {\n    throw new RangeError('weekStartsOn must be between 0 and 6 inclusively');\n  }\n  if (!locale.localize) {\n    throw new RangeError('locale must contain localize property');\n  }\n  if (!locale.formatLong) {\n    throw new RangeError('locale must contain formatLong property');\n  }\n  var originalDate = toDate(dirtyDate);\n  if (!isValid(originalDate)) {\n    throw new RangeError('Invalid time value');\n  }\n\n  // Convert the date in system timezone to the same date in UTC+00:00 timezone.\n  // This ensures that when UTC functions will be implemented, locales will be compatible with them.\n  // See an issue about UTC functions: https://github.com/date-fns/date-fns/issues/376\n  var timezoneOffset = getTimezoneOffsetInMilliseconds(originalDate);\n  var utcDate = subMilliseconds(originalDate, timezoneOffset);\n  var formatterOptions = {\n    firstWeekContainsDate: firstWeekContainsDate,\n    weekStartsOn: weekStartsOn,\n    locale: locale,\n    _originalDate: originalDate\n  };\n  var result = formatStr.match(longFormattingTokensRegExp).map(function (substring) {\n    var firstCharacter = substring[0];\n    if (firstCharacter === 'p' || firstCharacter === 'P') {\n      var longFormatter = longFormatters[firstCharacter];\n      return longFormatter(substring, locale.formatLong);\n    }\n    return substring;\n  }).join('').match(formattingTokensRegExp).map(function (substring) {\n    // Replace two single quote characters with one single quote character\n    if (substring === \"''\") {\n      return \"'\";\n    }\n    var firstCharacter = substring[0];\n    if (firstCharacter === \"'\") {\n      return cleanEscapedString(substring);\n    }\n    var formatter = formatters[firstCharacter];\n    if (formatter) {\n      if (!(options !== null && options !== void 0 && options.useAdditionalWeekYearTokens) && isProtectedWeekYearToken(substring)) {\n        throwProtectedError(substring, dirtyFormatStr, String(dirtyDate));\n      }\n      if (!(options !== null && options !== void 0 && options.useAdditionalDayOfYearTokens) && isProtectedDayOfYearToken(substring)) {\n        throwProtectedError(substring, dirtyFormatStr, String(dirtyDate));\n      }\n      return formatter(utcDate, substring, locale.localize, formatterOptions);\n    }\n    if (firstCharacter.match(unescapedLatinCharacterRegExp)) {\n      throw new RangeError('Format string contains an unescaped latin alphabet character `' + firstCharacter + '`');\n    }\n    return substring;\n  }).join('');\n  return result;\n}\nfunction cleanEscapedString(input) {\n  var matched = input.match(escapedStringRegExp);\n  if (!matched) {\n    return input;\n  }\n  return matched[1].replace(doubleQuoteRegExp, \"'\");\n}","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".pintura_main .cv-header.bx--header{z-index:1;background-color:#fff;border-bottom:none}.pintura_main .cv-header.bx--header .bx--btn--ghost{color:#525252}.pintura_main .cv-header-name.bx--header__name{color:#161616}.pintura_main .cv-header-name.bx--header__name:hover{color:#181818}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./StyleProvider.vue?vue&type=style&index=0&id=cc3aba46&prod&lang=scss\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"98da2348\", content, shadowRoot)\n};","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PrintTechnique.vue?vue&type=style&index=0&id=4b944288&prod&lang=scss\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"3771f632\", content, shadowRoot)\n};","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".pintura-sidebar .bx--dropdown-link{height:40px}.pintura-sidebar .bx--list-box--expanded .bx--list-box__menu{max-height:250px}.pintura-sidebar .cv-header.bx--header{z-index:800}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","export * from \"-!../../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PreviewSection.vue?vue&type=style&index=0&id=5ac16ed0&prod&lang=scss\"","'use strict';\n\nvar replace = String.prototype.replace;\nvar percentTwenties = /%20/g;\n\nvar Format = {\n    RFC1738: 'RFC1738',\n    RFC3986: 'RFC3986'\n};\n\nmodule.exports = {\n    'default': Format.RFC3986,\n    formatters: {\n        RFC1738: function (value) {\n            return replace.call(value, percentTwenties, '+');\n        },\n        RFC3986: function (value) {\n            return String(value);\n        }\n    },\n    RFC1738: Format.RFC1738,\n    RFC3986: Format.RFC3986\n};\n","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./Ruler.vue?vue&type=style&index=0&id=e8833e94&prod&lang=scss&scoped=true\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"7c8af286\", content, shadowRoot)\n};","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./TheApp.vue?vue&type=style&index=0&id=d81890ee&prod&lang=scss\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"3a8d1196\", content, shadowRoot)\n};","'use strict';\nvar ceil = Math.ceil;\nvar floor = Math.floor;\n\n// `Math.trunc` method\n// https://tc39.es/ecma262/#sec-math.trunc\n// eslint-disable-next-line es/no-math-trunc -- safe\nmodule.exports = Math.trunc || function trunc(x) {\n  var n = +x;\n  return (n > 0 ? floor : ceil)(n);\n};\n","export * from \"-!../../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./Dropdown.vue?vue&type=style&index=0&id=7d258c63&prod&lang=scss&scoped=true\"","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../node_modules/css-loader/dist/cjs.js??ref--7-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--7-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--7-oneOf-1-3!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./SmallDetailsConfirmation.vue?vue&type=style&index=1&id=7c26d410&prod&lang=css\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"2f2afb71\", content, shadowRoot)\n};","'use strict';\nvar aSet = require('../internals/a-set');\nvar has = require('../internals/set-helpers').has;\nvar size = require('../internals/set-size');\nvar getSetRecord = require('../internals/get-set-record');\nvar iterateSet = require('../internals/set-iterate');\nvar iterateSimple = require('../internals/iterate-simple');\nvar iteratorClose = require('../internals/iterator-close');\n\n// `Set.prototype.isDisjointFrom` method\n// https://tc39.github.io/proposal-set-methods/#Set.prototype.isDisjointFrom\nmodule.exports = function isDisjointFrom(other) {\n  var O = aSet(this);\n  var otherRec = getSetRecord(other);\n  if (size(O) <= otherRec.size) return iterateSet(O, function (e) {\n    if (otherRec.includes(e)) return false;\n  }, true) !== false;\n  var iterator = otherRec.getIterator();\n  return iterateSimple(iterator, function (e) {\n    if (has(O, e)) return iteratorClose(iterator, 'normal', false);\n  }) !== false;\n};\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".bx--dropdown{border-bottom:none}.print-technique{display:flex;flex-direction:column;justify-content:space-between;padding:1rem 1rem 0 1rem;border-right:1px solid #f4f4f4;border-left:1px solid #f4f4f4;flex:1;width:20%;overflow:hidden;max-width:200px}.print-technique--enabled{background-color:#fff}.print-technique-radios{margin-top:30px}.print-technique-radios .bx--radio-button__label{font-size:14px}.print-technique-deselect{font-size:15px}.technique_max-colours{margin-top:1px;margin-bottom:1rem;margin-left:1.8rem;font-size:12px;color:#6f6f6f}.technique_max-colours--disabled{color:#c6c6c6}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","'use strict';\n\nvar utils = require('./../utils');\nvar settle = require('./../core/settle');\nvar cookies = require('./../helpers/cookies');\nvar buildURL = require('./../helpers/buildURL');\nvar buildFullPath = require('../core/buildFullPath');\nvar parseHeaders = require('./../helpers/parseHeaders');\nvar isURLSameOrigin = require('./../helpers/isURLSameOrigin');\nvar createError = require('../core/createError');\n\nmodule.exports = function xhrAdapter(config) {\n  return new Promise(function dispatchXhrRequest(resolve, reject) {\n    var requestData = config.data;\n    var requestHeaders = config.headers;\n    var responseType = config.responseType;\n\n    if (utils.isFormData(requestData)) {\n      delete requestHeaders['Content-Type']; // Let the browser set it\n    }\n\n    var request = new XMLHttpRequest();\n\n    // HTTP basic authentication\n    if (config.auth) {\n      var username = config.auth.username || '';\n      var password = config.auth.password ? unescape(encodeURIComponent(config.auth.password)) : '';\n      requestHeaders.Authorization = 'Basic ' + btoa(username + ':' + password);\n    }\n\n    var fullPath = buildFullPath(config.baseURL, config.url);\n    request.open(config.method.toUpperCase(), buildURL(fullPath, config.params, config.paramsSerializer), true);\n\n    // Set the request timeout in MS\n    request.timeout = config.timeout;\n\n    function onloadend() {\n      if (!request) {\n        return;\n      }\n      // Prepare the response\n      var responseHeaders = 'getAllResponseHeaders' in request ? parseHeaders(request.getAllResponseHeaders()) : null;\n      var responseData = !responseType || responseType === 'text' ||  responseType === 'json' ?\n        request.responseText : request.response;\n      var response = {\n        data: responseData,\n        status: request.status,\n        statusText: request.statusText,\n        headers: responseHeaders,\n        config: config,\n        request: request\n      };\n\n      settle(resolve, reject, response);\n\n      // Clean up request\n      request = null;\n    }\n\n    if ('onloadend' in request) {\n      // Use onloadend if available\n      request.onloadend = onloadend;\n    } else {\n      // Listen for ready state to emulate onloadend\n      request.onreadystatechange = function handleLoad() {\n        if (!request || request.readyState !== 4) {\n          return;\n        }\n\n        // The request errored out and we didn't get a response, this will be\n        // handled by onerror instead\n        // With one exception: request that using file: protocol, most browsers\n        // will return status as 0 even though it's a successful request\n        if (request.status === 0 && !(request.responseURL && request.responseURL.indexOf('file:') === 0)) {\n          return;\n        }\n        // readystate handler is calling before onerror or ontimeout handlers,\n        // so we should call onloadend on the next 'tick'\n        setTimeout(onloadend);\n      };\n    }\n\n    // Handle browser request cancellation (as opposed to a manual cancellation)\n    request.onabort = function handleAbort() {\n      if (!request) {\n        return;\n      }\n\n      reject(createError('Request aborted', config, 'ECONNABORTED', request));\n\n      // Clean up request\n      request = null;\n    };\n\n    // Handle low level network errors\n    request.onerror = function handleError() {\n      // Real errors are hidden from us by the browser\n      // onerror should only fire if it's a network error\n      reject(createError('Network Error', config, null, request));\n\n      // Clean up request\n      request = null;\n    };\n\n    // Handle timeout\n    request.ontimeout = function handleTimeout() {\n      var timeoutErrorMessage = 'timeout of ' + config.timeout + 'ms exceeded';\n      if (config.timeoutErrorMessage) {\n        timeoutErrorMessage = config.timeoutErrorMessage;\n      }\n      reject(createError(\n        timeoutErrorMessage,\n        config,\n        config.transitional && config.transitional.clarifyTimeoutError ? 'ETIMEDOUT' : 'ECONNABORTED',\n        request));\n\n      // Clean up request\n      request = null;\n    };\n\n    // Add xsrf header\n    // This is only done if running in a standard browser environment.\n    // Specifically not if we're in a web worker, or react-native.\n    if (utils.isStandardBrowserEnv()) {\n      // Add xsrf header\n      var xsrfValue = (config.withCredentials || isURLSameOrigin(fullPath)) && config.xsrfCookieName ?\n        cookies.read(config.xsrfCookieName) :\n        undefined;\n\n      if (xsrfValue) {\n        requestHeaders[config.xsrfHeaderName] = xsrfValue;\n      }\n    }\n\n    // Add headers to the request\n    if ('setRequestHeader' in request) {\n      utils.forEach(requestHeaders, function setRequestHeader(val, key) {\n        if (typeof requestData === 'undefined' && key.toLowerCase() === 'content-type') {\n          // Remove Content-Type if data is undefined\n          delete requestHeaders[key];\n        } else {\n          // Otherwise add header to the request\n          request.setRequestHeader(key, val);\n        }\n      });\n    }\n\n    // Add withCredentials to request if needed\n    if (!utils.isUndefined(config.withCredentials)) {\n      request.withCredentials = !!config.withCredentials;\n    }\n\n    // Add responseType to request if needed\n    if (responseType && responseType !== 'json') {\n      request.responseType = config.responseType;\n    }\n\n    // Handle progress if needed\n    if (typeof config.onDownloadProgress === 'function') {\n      request.addEventListener('progress', config.onDownloadProgress);\n    }\n\n    // Not all browsers support upload events\n    if (typeof config.onUploadProgress === 'function' && request.upload) {\n      request.upload.addEventListener('progress', config.onUploadProgress);\n    }\n\n    if (config.cancelToken) {\n      // Handle cancellation\n      config.cancelToken.promise.then(function onCanceled(cancel) {\n        if (!request) {\n          return;\n        }\n\n        request.abort();\n        reject(cancel);\n        // Clean up request\n        request = null;\n      });\n    }\n\n    if (!requestData) {\n      requestData = null;\n    }\n\n    // Send the request\n    request.send(requestData);\n  });\n};\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".icon-text-flex-column{flex-direction:column}.icon-text-flex-row{flex-direction:row}.icon-size{width:20px;height:20px}.text{margin-top:3px}.icon-text-button{display:flex;align-items:center;justify-content:center;border:1px solid #e0e0e0;flex-direction:column;width:60px;height:60px}.icon-text-button-icon{overflow:hidden!important}.icon-text-button-icon:hover{background:#e0e0e0}.icon-text-button:hover{cursor:pointer;background:#e0e0e0}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","// TODO: including these in blob-util.ts causes typedoc to generate docs for them,\n// even with --excludePrivate ¯\\_(ツ)_/¯\n/** @private */\nfunction loadImage(src, crossOrigin) {\n    return new Promise(function (resolve, reject) {\n        var img = new Image();\n        if (crossOrigin) {\n            img.crossOrigin = crossOrigin;\n        }\n        img.onload = function () {\n            resolve(img);\n        };\n        img.onerror = reject;\n        img.src = src;\n    });\n}\n/** @private */\nfunction imgToCanvas(img) {\n    var canvas = document.createElement('canvas');\n    canvas.width = img.width;\n    canvas.height = img.height;\n    // copy the image contents to the canvas\n    var context = canvas.getContext('2d');\n    context.drawImage(img, 0, 0, img.width, img.height, 0, 0, img.width, img.height);\n    return canvas;\n}\n\n/* global Promise, Image, Blob, FileReader, atob, btoa,\n   BlobBuilder, MSBlobBuilder, MozBlobBuilder, WebKitBlobBuilder, webkitURL */\n/**\n * Shim for\n * [`new Blob()`](https://developer.mozilla.org/en-US/docs/Web/API/Blob.Blob)\n * to support\n * [older browsers that use the deprecated `BlobBuilder` API](http://caniuse.com/blob).\n *\n * Example:\n *\n * ```js\n * var myBlob = blobUtil.createBlob(['hello world'], {type: 'text/plain'});\n * ```\n *\n * @param parts - content of the Blob\n * @param properties - usually `{type: myContentType}`,\n *                           you can also pass a string for the content type\n * @returns Blob\n */\nfunction createBlob(parts, properties) {\n    parts = parts || [];\n    properties = properties || {};\n    if (typeof properties === 'string') {\n        properties = { type: properties }; // infer content type\n    }\n    try {\n        return new Blob(parts, properties);\n    }\n    catch (e) {\n        if (e.name !== 'TypeError') {\n            throw e;\n        }\n        var Builder = typeof BlobBuilder !== 'undefined'\n            ? BlobBuilder : typeof MSBlobBuilder !== 'undefined'\n            ? MSBlobBuilder : typeof MozBlobBuilder !== 'undefined'\n            ? MozBlobBuilder : WebKitBlobBuilder;\n        var builder = new Builder();\n        for (var i = 0; i < parts.length; i += 1) {\n            builder.append(parts[i]);\n        }\n        return builder.getBlob(properties.type);\n    }\n}\n/**\n * Shim for\n * [`URL.createObjectURL()`](https://developer.mozilla.org/en-US/docs/Web/API/URL.createObjectURL)\n * to support browsers that only have the prefixed\n * `webkitURL` (e.g. Android <4.4).\n *\n * Example:\n *\n * ```js\n * var myUrl = blobUtil.createObjectURL(blob);\n * ```\n *\n * @param blob\n * @returns url\n */\nfunction createObjectURL(blob) {\n    return (typeof URL !== 'undefined' ? URL : webkitURL).createObjectURL(blob);\n}\n/**\n * Shim for\n * [`URL.revokeObjectURL()`](https://developer.mozilla.org/en-US/docs/Web/API/URL.revokeObjectURL)\n * to support browsers that only have the prefixed\n * `webkitURL` (e.g. Android <4.4).\n *\n * Example:\n *\n * ```js\n * blobUtil.revokeObjectURL(myUrl);\n * ```\n *\n * @param url\n */\nfunction revokeObjectURL(url) {\n    return (typeof URL !== 'undefined' ? URL : webkitURL).revokeObjectURL(url);\n}\n/**\n * Convert a `Blob` to a binary string.\n *\n * Example:\n *\n * ```js\n * blobUtil.blobToBinaryString(blob).then(function (binaryString) {\n *   // success\n * }).catch(function (err) {\n *   // error\n * });\n * ```\n *\n * @param blob\n * @returns Promise that resolves with the binary string\n */\nfunction blobToBinaryString(blob) {\n    return new Promise(function (resolve, reject) {\n        var reader = new FileReader();\n        var hasBinaryString = typeof reader.readAsBinaryString === 'function';\n        reader.onloadend = function () {\n            var result = reader.result || '';\n            if (hasBinaryString) {\n                return resolve(result);\n            }\n            resolve(arrayBufferToBinaryString(result));\n        };\n        reader.onerror = reject;\n        if (hasBinaryString) {\n            reader.readAsBinaryString(blob);\n        }\n        else {\n            reader.readAsArrayBuffer(blob);\n        }\n    });\n}\n/**\n * Convert a base64-encoded string to a `Blob`.\n *\n * Example:\n *\n * ```js\n * var blob = blobUtil.base64StringToBlob(base64String);\n * ```\n * @param base64 - base64-encoded string\n * @param type - the content type (optional)\n * @returns Blob\n */\nfunction base64StringToBlob(base64, type) {\n    var parts = [binaryStringToArrayBuffer(atob(base64))];\n    return type ? createBlob(parts, { type: type }) : createBlob(parts);\n}\n/**\n * Convert a binary string to a `Blob`.\n *\n * Example:\n *\n * ```js\n * var blob = blobUtil.binaryStringToBlob(binaryString);\n * ```\n *\n * @param binary - binary string\n * @param type - the content type (optional)\n * @returns Blob\n */\nfunction binaryStringToBlob(binary, type) {\n    return base64StringToBlob(btoa(binary), type);\n}\n/**\n * Convert a `Blob` to a binary string.\n *\n * Example:\n *\n * ```js\n * blobUtil.blobToBase64String(blob).then(function (base64String) {\n *   // success\n * }).catch(function (err) {\n *   // error\n * });\n * ```\n *\n * @param blob\n * @returns Promise that resolves with the binary string\n */\nfunction blobToBase64String(blob) {\n    return blobToBinaryString(blob).then(btoa);\n}\n/**\n * Convert a data URL string\n * (e.g. `'data:image/png;base64,iVBORw0KG...'`)\n * to a `Blob`.\n *\n * Example:\n *\n * ```js\n * var blob = blobUtil.dataURLToBlob(dataURL);\n * ```\n *\n * @param dataURL - dataURL-encoded string\n * @returns Blob\n */\nfunction dataURLToBlob(dataURL) {\n    var type = dataURL.match(/data:([^;]+)/)[1];\n    var base64 = dataURL.replace(/^[^,]+,/, '');\n    var buff = binaryStringToArrayBuffer(atob(base64));\n    return createBlob([buff], { type: type });\n}\n/**\n * Convert a `Blob` to a data URL string\n * (e.g. `'data:image/png;base64,iVBORw0KG...'`).\n *\n * Example:\n *\n * ```js\n * var dataURL = blobUtil.blobToDataURL(blob);\n * ```\n *\n * @param blob\n * @returns Promise that resolves with the data URL string\n */\nfunction blobToDataURL(blob) {\n    return blobToBase64String(blob).then(function (base64String) {\n        return 'data:' + blob.type + ';base64,' + base64String;\n    });\n}\n/**\n * Convert an image's `src` URL to a data URL by loading the image and painting\n * it to a `canvas`.\n *\n * Note: this will coerce the image to the desired content type, and it\n * will only paint the first frame of an animated GIF.\n *\n * Examples:\n *\n * ```js\n * blobUtil.imgSrcToDataURL('http://mysite.com/img.png').then(function (dataURL) {\n *   // success\n * }).catch(function (err) {\n *   // error\n * });\n * ```\n *\n * ```js\n * blobUtil.imgSrcToDataURL('http://some-other-site.com/img.jpg', 'image/jpeg',\n *                          'Anonymous', 1.0).then(function (dataURL) {\n *   // success\n * }).catch(function (err) {\n *   // error\n * });\n * ```\n *\n * @param src - image src\n * @param type - the content type (optional, defaults to 'image/png')\n * @param crossOrigin - for CORS-enabled images, set this to\n *                                         'Anonymous' to avoid \"tainted canvas\" errors\n * @param quality - a number between 0 and 1 indicating image quality\n *                                     if the requested type is 'image/jpeg' or 'image/webp'\n * @returns Promise that resolves with the data URL string\n */\nfunction imgSrcToDataURL(src, type, crossOrigin, quality) {\n    type = type || 'image/png';\n    return loadImage(src, crossOrigin).then(imgToCanvas).then(function (canvas) {\n        return canvas.toDataURL(type, quality);\n    });\n}\n/**\n * Convert a `canvas` to a `Blob`.\n *\n * Examples:\n *\n * ```js\n * blobUtil.canvasToBlob(canvas).then(function (blob) {\n *   // success\n * }).catch(function (err) {\n *   // error\n * });\n * ```\n *\n * Most browsers support converting a canvas to both `'image/png'` and `'image/jpeg'`. You may\n * also want to try `'image/webp'`, which will work in some browsers like Chrome (and in other browsers, will just fall back to `'image/png'`):\n *\n * ```js\n * blobUtil.canvasToBlob(canvas, 'image/webp').then(function (blob) {\n *   // success\n * }).catch(function (err) {\n *   // error\n * });\n * ```\n *\n * @param canvas - HTMLCanvasElement\n * @param type - the content type (optional, defaults to 'image/png')\n * @param quality - a number between 0 and 1 indicating image quality\n *                                     if the requested type is 'image/jpeg' or 'image/webp'\n * @returns Promise that resolves with the `Blob`\n */\nfunction canvasToBlob(canvas, type, quality) {\n    if (typeof canvas.toBlob === 'function') {\n        return new Promise(function (resolve) {\n            canvas.toBlob(resolve, type, quality);\n        });\n    }\n    return Promise.resolve(dataURLToBlob(canvas.toDataURL(type, quality)));\n}\n/**\n * Convert an image's `src` URL to a `Blob` by loading the image and painting\n * it to a `canvas`.\n *\n * Note: this will coerce the image to the desired content type, and it\n * will only paint the first frame of an animated GIF.\n *\n * Examples:\n *\n * ```js\n * blobUtil.imgSrcToBlob('http://mysite.com/img.png').then(function (blob) {\n *   // success\n * }).catch(function (err) {\n *   // error\n * });\n * ```\n *\n * ```js\n * blobUtil.imgSrcToBlob('http://some-other-site.com/img.jpg', 'image/jpeg',\n *                          'Anonymous', 1.0).then(function (blob) {\n *   // success\n * }).catch(function (err) {\n *   // error\n * });\n * ```\n *\n * @param src - image src\n * @param type - the content type (optional, defaults to 'image/png')\n * @param crossOrigin - for CORS-enabled images, set this to\n *                                         'Anonymous' to avoid \"tainted canvas\" errors\n * @param quality - a number between 0 and 1 indicating image quality\n *                                     if the requested type is 'image/jpeg' or 'image/webp'\n * @returns Promise that resolves with the `Blob`\n */\nfunction imgSrcToBlob(src, type, crossOrigin, quality) {\n    type = type || 'image/png';\n    return loadImage(src, crossOrigin).then(imgToCanvas).then(function (canvas) {\n        return canvasToBlob(canvas, type, quality);\n    });\n}\n/**\n * Convert an `ArrayBuffer` to a `Blob`.\n *\n * Example:\n *\n * ```js\n * var blob = blobUtil.arrayBufferToBlob(arrayBuff, 'audio/mpeg');\n * ```\n *\n * @param buffer\n * @param type - the content type (optional)\n * @returns Blob\n */\nfunction arrayBufferToBlob(buffer, type) {\n    return createBlob([buffer], type);\n}\n/**\n * Convert a `Blob` to an `ArrayBuffer`.\n *\n * Example:\n *\n * ```js\n * blobUtil.blobToArrayBuffer(blob).then(function (arrayBuff) {\n *   // success\n * }).catch(function (err) {\n *   // error\n * });\n * ```\n *\n * @param blob\n * @returns Promise that resolves with the `ArrayBuffer`\n */\nfunction blobToArrayBuffer(blob) {\n    return new Promise(function (resolve, reject) {\n        var reader = new FileReader();\n        reader.onloadend = function () {\n            var result = reader.result || new ArrayBuffer(0);\n            resolve(result);\n        };\n        reader.onerror = reject;\n        reader.readAsArrayBuffer(blob);\n    });\n}\n/**\n * Convert an `ArrayBuffer` to a binary string.\n *\n * Example:\n *\n * ```js\n * var myString = blobUtil.arrayBufferToBinaryString(arrayBuff)\n * ```\n *\n * @param buffer - array buffer\n * @returns binary string\n */\nfunction arrayBufferToBinaryString(buffer) {\n    var binary = '';\n    var bytes = new Uint8Array(buffer);\n    var length = bytes.byteLength;\n    var i = -1;\n    while (++i < length) {\n        binary += String.fromCharCode(bytes[i]);\n    }\n    return binary;\n}\n/**\n * Convert a binary string to an `ArrayBuffer`.\n *\n * ```js\n * var myBuffer = blobUtil.binaryStringToArrayBuffer(binaryString)\n * ```\n *\n * @param binary - binary string\n * @returns array buffer\n */\nfunction binaryStringToArrayBuffer(binary) {\n    var length = binary.length;\n    var buf = new ArrayBuffer(length);\n    var arr = new Uint8Array(buf);\n    var i = -1;\n    while (++i < length) {\n        arr[i] = binary.charCodeAt(i);\n    }\n    return buf;\n}\n\nexport { createBlob, createObjectURL, revokeObjectURL, blobToBinaryString, base64StringToBlob, binaryStringToBlob, blobToBase64String, dataURLToBlob, blobToDataURL, imgSrcToDataURL, canvasToBlob, imgSrcToBlob, arrayBufferToBlob, blobToArrayBuffer, arrayBufferToBinaryString, binaryStringToArrayBuffer };\n","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../node_modules/css-loader/dist/cjs.js??ref--7-oneOf-1-1!../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../node_modules/postcss-loader/src/index.js??ref--7-oneOf-1-2!../../../node_modules/postcss-loader/src/index.js??ref--7-oneOf-1-3!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./QuestionAboutWhite.vue?vue&type=style&index=1&id=04338b07&prod&lang=css\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"23a27e6b\", content, shadowRoot)\n};","'use strict';\nvar global = require('../internals/global');\nvar shared = require('../internals/shared');\nvar hasOwn = require('../internals/has-own-property');\nvar uid = require('../internals/uid');\nvar NATIVE_SYMBOL = require('../internals/symbol-constructor-detection');\nvar USE_SYMBOL_AS_UID = require('../internals/use-symbol-as-uid');\n\nvar Symbol = global.Symbol;\nvar WellKnownSymbolsStore = shared('wks');\nvar createWellKnownSymbol = USE_SYMBOL_AS_UID ? Symbol['for'] || Symbol : Symbol && Symbol.withoutSetter || uid;\n\nmodule.exports = function (name) {\n  if (!hasOwn(WellKnownSymbolsStore, name)) {\n    WellKnownSymbolsStore[name] = NATIVE_SYMBOL && hasOwn(Symbol, name)\n      ? Symbol[name]\n      : createWellKnownSymbol('Symbol.' + name);\n  } return WellKnownSymbolsStore[name];\n};\n","export * from \"-!../../../../../node_modules/vue-style-loader/index.js??ref--7-oneOf-1-0!../../../../../node_modules/css-loader/dist/cjs.js??ref--7-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--7-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--7-oneOf-1-3!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./IconTextButton.vue?vue&type=style&index=1&id=78b1d6a6&prod&scoped=true&lang=css\"","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".detailsloader .bx--inline-loading__text{font-size:18px!important}.logo-only-small-details .bx--checkbox-label-text{font-size:14px!important}.logo-only-small-details .bx--row{margin-left:0!important;margin-right:0!important}.logo-only-small-details .bx--btn-set .bx--btn{height:50px;max-width:50%;width:50%;font-size:14px}.logo-only-small-details .bx--checkbox-label-text{font-size:14px}.bx--btn.bx--btn--icon-only.bx--tooltip__trigger:before,.bx--btn.bx--btn--icon-only.bx--tooltip__trigger:focus .bx--assistive-text,.logo-only-small-details .bx--btn.bx--btn--icon-only.bx--tooltip__trigger:hover .bx--assistive-text{visibility:hidden}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../../node_modules/css-loader/dist/runtime/api.js\");\nvar ___CSS_LOADER_AT_RULE_IMPORT_0___ = require(\"-!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/pintura/pintura.css\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\nexports.i(___CSS_LOADER_AT_RULE_IMPORT_0___);\nexports.push([module.id, \"@import url(https://fonts.googleapis.com/css2?family=Roboto:ital,wght@0,300;0,400;0,700;1,400&display=swap);\"]);\n// Module\nexports.push([module.id, \".bx--dropdown{border-bottom:none}#root{height:100%}#root,#root #header{position:relative}.pintura-editor{--color-background:244,244,244;--font-family:\\\"Roboto\\\",sans-serif;--font-size:16px}.PinturaRoot{padding-top:0;background:#e0e0e0!important}.PinturaRoot[data-env~=landscape]>.PinturaNavTools{justify-content:left}.CustomTabList{display:none;background:#f4f4f4}.CustomTabList .PinturaButton{width:3rem;height:3rem;border:none;padding:.1rem;margin:0}.PinturaRoot[data-env~=landscape]>.PinturaNavMain{display:none}.PinturaRoot .PinturaEditorOverlay{background-color:rgba(0,0,0,.6)}.custom-shape-control.PinturaButtonIconOnly{width:2.3em;height:2.3em}.custom-shape-control.PinturaButtonIconOnly svg{fill:#fff}.custom-bring-to-front.PinturaButtonIconOnly svg{width:80%}.import-wizard-v2 .PinturaUtilMain{padding-top:80px}.import-wizard-v2 .PinturaRoot .PinturaNavGroup{margin-top:20px}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./TotalPricing.vue?vue&type=style&index=0&id=5bd1b5f0&prod&lang=scss\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"6f0d3b80\", content, shadowRoot)\n};","export * from \"-!../../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./OrderDetails.vue?vue&type=style&index=0&id=a8f26848&prod&lang=scss\"","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./Header.vue?vue&type=style&index=0&id=72c15752&prod&lang=scss&scoped=true\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"3132b392\", content, shadowRoot)\n};","var render = function render(){var _vm=this,_c=_vm._self._c;return _c('div',{staticClass:\"app\"},[_vm._t(\"default\")],2)\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PipelineValidationNotification.vue?vue&type=style&index=0&id=01b4becc&prod&lang=scss\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"c504739a\", content, shadowRoot)\n};","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./VStep.vue?vue&type=style&index=0&id=a1b99918&prod&lang=scss&scoped=true\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"16e6d53f\", content, shadowRoot)\n};","export * from \"-!../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./OrderOverviewProductDataArtworks.vue?vue&type=style&index=0&id=39884b3e&prod&lang=scss&scoped=true\"","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./Dropdown.vue?vue&type=style&index=0&id=7d258c63&prod&lang=scss&scoped=true\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"a00fdbc8\", content, shadowRoot)\n};","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".tour-modal{display:flex;height:556px}.tour-modal img{width:505px;-o-object-fit:cover;object-fit:cover}.tour-modal__info{padding:32px;width:295px}.tour-modal__info--buttons{margin-top:30px}.tour-modal__info--buttons .cv-button{display:flex;flex-direction:column;width:100%;font-size:14px;justify-content:center;padding:10px}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","module.exports = require('./lib/axios');","const hexCharacters = 'a-f\\\\d';\nconst match3or4Hex = `#?[${hexCharacters}]{3}[${hexCharacters}]?`;\nconst match6or8Hex = `#?[${hexCharacters}]{6}([${hexCharacters}]{2})?`;\nconst nonHexChars = new RegExp(`[^#${hexCharacters}]`, 'gi');\nconst validHexSize = new RegExp(`^${match3or4Hex}$|^${match6or8Hex}$`, 'i');\n\nexport default function hexRgb(hex, options = {}) {\n\tif (typeof hex !== 'string' || nonHexChars.test(hex) || !validHexSize.test(hex)) {\n\t\tthrow new TypeError('Expected a valid hex string');\n\t}\n\n\thex = hex.replace(/^#/, '');\n\tlet alphaFromHex = 1;\n\n\tif (hex.length === 8) {\n\t\talphaFromHex = Number.parseInt(hex.slice(6, 8), 16) / 255;\n\t\thex = hex.slice(0, 6);\n\t}\n\n\tif (hex.length === 4) {\n\t\talphaFromHex = Number.parseInt(hex.slice(3, 4).repeat(2), 16) / 255;\n\t\thex = hex.slice(0, 3);\n\t}\n\n\tif (hex.length === 3) {\n\t\thex = hex[0] + hex[0] + hex[1] + hex[1] + hex[2] + hex[2];\n\t}\n\n\tconst number = Number.parseInt(hex, 16);\n\tconst red = number >> 16;\n\tconst green = (number >> 8) & 255;\n\tconst blue = number & 255;\n\tconst alpha = typeof options.alpha === 'number' ? options.alpha : alphaFromHex;\n\n\tif (options.format === 'array') {\n\t\treturn [red, green, blue, alpha];\n\t}\n\n\tif (options.format === 'css') {\n\t\tconst alphaString = alpha === 1 ? '' : ` / ${Number((alpha * 100).toFixed(2))}%`;\n\t\treturn `rgb(${red} ${green} ${blue}${alphaString})`;\n\t}\n\n\treturn {red, green, blue, alpha};\n}\n","import { isPercentageValue, mm2px } from '@/utils/common';\r\nimport {\r\n  AnnotationShape,\r\n  ChangeColorCommand,\r\n  RemoveColorCommand,\r\n  RemoveColorResult,\r\n} from '@/web-components/import-wizard/typings';\r\nimport _findIndex from 'lodash.findindex';\r\nimport { Collider2d } from 'collider2d';\r\nimport { defineStore } from 'pinia';\r\nimport { useStore as useProductStore } from './product';\r\nimport { useStore as useActionsStore } from './action';\r\nimport { useStore as useColorMngStore } from './colorsManagement';\r\nimport { useStore as useShapeBoxSectionStore } from './shapeBoxSection';\r\nimport { useStore as useNotificationStore } from './notification';\r\nimport { useStore as useHistoryStore } from './history';\r\nimport { useStore as useMirrorStore } from './mirror';\r\nimport { useStore as useColorsManagementStore } from '@/stores/colorsManagement';\r\nimport { checkIsInArea } from '@/utils/collisionHelper';\r\nimport FileService from '@/services/FileService';\r\nimport {\r\n  LogoShape,\r\n  TextShape,\r\n  VariantArtworkImages,\r\n  Text,\r\n} from '@/web-components/import-wizard/typings/pintura';\r\nimport { base64StringToBlob } from 'blob-util';\r\nimport { constructArtworkValidationPipeline } from '../validators/index';\r\nimport { ProductPrintPositionBoxModel, SmallDetailsPayload } from '@/typings';\r\nimport { PipelineNotificationType } from '@/components/Notifiers/typings/PipelineNotificationType';\r\nimport {\r\n  PersonalizationText,\r\n  PmsColor,\r\n  ProductVariant,\r\n} from '@midocean/webapps-shared-domain';\r\nimport { Personalization } from '@midocean/webapps-shared-domain';\r\nimport axios from 'axios';\r\nimport {\r\n  SetArtworkBackgroundCommand,\r\n  DoRoundCroppingCommand,\r\n} from '@/web-components/import-wizard/typings/colorManagement/colorManagement';\r\nimport { ProductPrintPanel } from '@/typings/ProductPrintData';\r\nimport { lineWidth } from '@/constants/areaLineWidth';\r\nimport { DoSmallDetailsPart } from '@/constants/imageProcessingEngine';\r\nimport { getSmallDetailsValidatorColor } from '@/components/SmallDetails/utils/helper';\r\nimport { ShapeSnapshot } from '@/typings/history';\r\nimport { createStateSnapshot } from '@/utils/historyHelper';\r\nimport {\r\n  ProductPrintVariant,\r\n  LaserConfiguration,\r\n} from '@midocean/webapps-shared-domain';\r\nimport { ProcessTextCommand, TextAlignment } from '@/typings/SmallDetails';\r\nimport { positionText } from '@/utils/alignText';\r\nimport { constructLogoOnlyNewPersonalizationForm } from '@/construct-methods';\r\n\r\nconst ADD_ARTWORK_PAYLOAD = 'addArtworkPayload';\r\nconst REMOVE_ARTWORK_PAYLOAD = 'removeArtworkPayload';\r\nconst ADD_TEXT_PAYLOAD = 'addTextPayload';\r\nconst REMOVE_TEXT_PAYLOAD = 'removeTextPayload';\r\n\r\nexport const logoPositionMapper =\r\n  (position: ProductPrintPositionBoxModel, map: Record<string, unknown>[]) =>\r\n  (item: Pick<PipelineNotificationType, 'payloadId'>): boolean => {\r\n    return map.some((m) => m.logoId === item.payloadId && m.id === position.id);\r\n  };\r\n\r\nexport const nonTextShapes = (shape: AnnotationShape): boolean =>\r\n  shape.kind === 'Logo';\r\n\r\nexport const textShapes = (shape: AnnotationShape): boolean =>\r\n  shape.kind === 'Text';\r\n\r\nexport const useStore = defineStore({\r\n  id: 'shape',\r\n\r\n  state: () => {\r\n    return {\r\n      activeShapeId: '',\r\n      errors: [],\r\n      collider2d: new Collider2d(),\r\n      shapes: [] as AnnotationShape[],\r\n      positionShapeMap: [] as Record<string, string>[],\r\n      isLoaderActive: false,\r\n      panelPosition: { x: 0, width: 0 } as ProductPrintPanel,\r\n      personalization: {} as Personalization,\r\n    };\r\n  },\r\n\r\n  getters: {\r\n    collisionDetails: (\r\n      state\r\n    ): { aInB: boolean; payloadId: string }[] | undefined => {\r\n      const productStore = useProductStore();\r\n      const scaleRatio =\r\n        (productStore.activePosition.originalImageWebDpi as number) /\r\n        (productStore.activePosition.originalImageDpi as number);\r\n      const productDimensions = {\r\n        x:\r\n          (productStore.activePosition.originalImageWidthPx as number) *\r\n            scaleRatio || 227,\r\n        y:\r\n          (productStore.activePosition.originalImageHeightPx as number) *\r\n            scaleRatio || 402,\r\n      };\r\n      const printableAreaShapeType =\r\n        productStore.activePosition.printArea?.shapeType || '';\r\n\r\n      const printableArea = productStore.drawPoints();\r\n      const printableAreaRotation = productStore.rotation;\r\n\r\n      if (!printableArea) return;\r\n\r\n      const collisions = state.shapes\r\n        .filter((shape) =>\r\n          state.positionShapeMap.some(\r\n            (psm) =>\r\n              psm.id === productStore.selectedPrintPosition.id &&\r\n              psm.logoId === shape.id\r\n          )\r\n        )\r\n        .map((currentShape) => {\r\n          const shapeArea: AnnotationShape = {\r\n            ...currentShape,\r\n            x: isPercentageValue(currentShape.x)\r\n              ? (Number.parseFloat(currentShape.x as unknown as string) / 100) *\r\n                productDimensions.x\r\n              : currentShape.x,\r\n            y: isPercentageValue(currentShape.y)\r\n              ? (Number.parseFloat(currentShape.y as unknown as string) / 100) *\r\n                productDimensions.y\r\n              : currentShape.y,\r\n            width: isPercentageValue(currentShape.width)\r\n              ? (Number.parseFloat(currentShape.width as unknown as string) /\r\n                  100) *\r\n                productDimensions.x\r\n              : currentShape.width,\r\n            height: isPercentageValue(currentShape.height)\r\n              ? (Number.parseFloat(currentShape.height as unknown as string) /\r\n                  100) *\r\n                productDimensions.y\r\n              : currentShape.height,\r\n            rotation: currentShape.rotation || 0,\r\n            isRoundLogo: currentShape.isRoundLogo,\r\n          };\r\n\r\n          const {\r\n            originalImageWebDpi,\r\n            originalImageWidthPx,\r\n            originalImageDpi,\r\n          } = productStore.activePosition;\r\n\r\n          const webImageWidthPx =\r\n            originalImageWidthPx &&\r\n            originalImageWebDpi &&\r\n            originalImageDpi &&\r\n            (originalImageWidthPx * originalImageWebDpi) / originalImageDpi;\r\n          const rectLineWidth = (lineWidth * (webImageWidthPx as number)) / 100;\r\n\r\n          const isInArea = checkIsInArea(\r\n            shapeArea,\r\n            printableArea,\r\n            printableAreaShapeType,\r\n            printableAreaRotation,\r\n            rectLineWidth\r\n          );\r\n\r\n          currentShape.isInArea = isInArea;\r\n          const notificationStore = useNotificationStore();\r\n\r\n          const notificationIndex =\r\n            notificationStore.notificationsForBell.findIndex(\r\n              (n) =>\r\n                n.payloadId === currentShape.id &&\r\n                n.validatorName === 'outOfBoundaries'\r\n            );\r\n\r\n          if (notificationIndex === -1 && !isInArea) {\r\n            notificationStore.notificationsForBell.push({\r\n              validatorColor: 'Red',\r\n              validatorName: 'outOfBoundaries',\r\n              payloadId: currentShape.id,\r\n              fileName:\r\n                currentShape.kind === 'Logo'\r\n                  ? currentShape.title\r\n                  : currentShape.w2pText.text,\r\n              printPositionId: productStore.selectedPrintPosition.id,\r\n              printPosition: productStore.selectedPrintPosition.name,\r\n              message: '',\r\n            });\r\n\r\n            notificationStore.allValidatorPipelineResults.push({\r\n              payload: currentShape,\r\n              validationResult: [\r\n                {\r\n                  validatorColor: 'Red',\r\n                  validatorName: 'outOfBoundaries',\r\n                  printPositionId: productStore.selectedPrintPosition.id,\r\n                },\r\n              ],\r\n            });\r\n          }\r\n\r\n          if (notificationIndex !== -1 && isInArea) {\r\n            const allValidatorPipelineIndex =\r\n              notificationStore.allValidatorPipelineResults.findIndex(\r\n                (n) =>\r\n                  n.payload.id === currentShape.id &&\r\n                  n.validationResult.validatorName === 'outOfBoundaries'\r\n              );\r\n            if (allValidatorPipelineIndex === -1) {\r\n              notificationStore.allValidatorPipelineResults.splice(\r\n                allValidatorPipelineIndex,\r\n                1\r\n              );\r\n            }\r\n\r\n            notificationStore.notificationsForBell.splice(notificationIndex, 1);\r\n          }\r\n          return { aInB: isInArea, payloadId: currentShape.id };\r\n        });\r\n\r\n      return collisions;\r\n    },\r\n  },\r\n  actions: {\r\n    /**\r\n     * When editing a position, we also have to reassign existing logo/text shape\r\n     * refs so that they can continue to live on a newly switched position\r\n     */\r\n\r\n    setPanelPosition(position: ProductPrintPanel) {\r\n      this.panelPosition = position;\r\n    },\r\n    reassignRefs({ from, to }: { from: string; to: string }) {\r\n      if (from === to) {\r\n        return;\r\n      }\r\n      const reassignedFromTo = this.positionShapeMap.map((psm) => {\r\n        return psm.id === from ? { ...psm, id: to } : psm;\r\n      });\r\n\r\n      this.positionShapeMap = reassignedFromTo;\r\n    },\r\n\r\n    updateShapeStateFromSnapshot(snapshot: ShapeSnapshot) {\r\n      this.$patch((state) => {\r\n        if (snapshot !== undefined) {\r\n          state.activeShapeId = snapshot.activeShapeId;\r\n          this.shapes.splice(0, this.shapes.length);\r\n          snapshot.shapes.forEach((x) => {\r\n            this.shapes.push(x);\r\n          });\r\n          state.positionShapeMap = snapshot.positionShapeMap;\r\n        }\r\n      });\r\n    },\r\n    async updateColorsAfterImageIsAdjusted(\r\n      shapeId: string,\r\n      doTrimming: boolean\r\n    ) {\r\n      const idx = this.shapes.findIndex((p) => p.id === shapeId);\r\n      const shape = this.shapes[idx];\r\n      if (shape.kind === 'Logo') {\r\n        const { data } = await FileService.detectColors(\r\n          shape.pngFileWithoutConverters,\r\n          doTrimming\r\n        );\r\n\r\n        const colorManagementStore = useColorsManagementStore();\r\n        colorManagementStore.changeColorsToClosestPantonesFromPalette(\r\n          data.colors\r\n        );\r\n\r\n        shape.pmsColorsInPngFile = shape.pmsColorsInPngFile.filter((x) =>\r\n          data.colors.some((color) => color.name === x.name)\r\n        );\r\n\r\n        const widthScaleFactor = shape.pngWidthPixels / data.widthInPx;\r\n        const heightScaleFactor = shape.pngHeightPixels / data.heightInPx;\r\n        const newWidth = shape.width / widthScaleFactor;\r\n        const newHeight = shape.height / heightScaleFactor;\r\n\r\n        shape.width = newWidth;\r\n        shape.height = newHeight;\r\n        shape.pngWidthPixels = data.widthInPx;\r\n        shape.pngHeightPixels = data.heightInPx;\r\n        shape.aspectRatio = newWidth / newHeight;\r\n        shape.backgroundImage = URL.createObjectURL(\r\n          base64StringToBlob(data.trimmedImageBase64, 'image/png')\r\n        );\r\n        shape.pngFile = base64StringToBlob(\r\n          data.trimmedImageBase64,\r\n          'image/png'\r\n        );\r\n        shape.pngFileWithoutConverters = base64StringToBlob(\r\n          data.trimmedImageBase64,\r\n          'image/png'\r\n        );\r\n      }\r\n\r\n      const notificationStore = useNotificationStore();\r\n      notificationStore.revalidateUnavailablePrintPositions();\r\n      notificationStore.initializeSmallDetailsNotifications();\r\n    },\r\n\r\n    reinitializeShapeVariantImage(\r\n      variant: ProductPrintVariant,\r\n      textColor: number[]\r\n    ) {\r\n      const productStore = useProductStore();\r\n\r\n      const printPositionShapes = this.shapes.filter((shape) =>\r\n        this.positionShapeMap.some(\r\n          (psm) =>\r\n            psm.id === productStore.selectedPrintPosition.id &&\r\n            psm.logoId === shape.id\r\n        )\r\n      );\r\n\r\n      printPositionShapes.forEach((s) => {\r\n        const variantArtworkImage = s.variantArtworkImages?.find(\r\n          (i) => i.variantColor === variant.colour\r\n        );\r\n\r\n        s.backgroundImage = URL.createObjectURL(\r\n          variantArtworkImage?.variantArtworkPng || (s.pngFile as Blob)\r\n        );\r\n\r\n        if (s.kind === 'Text') {\r\n          s.w2pText = {\r\n            ...s.w2pText,\r\n            color: textColor,\r\n          };\r\n        }\r\n      });\r\n    },\r\n\r\n    deselectShape() {\r\n      const shapeBoxSectionStore = useShapeBoxSectionStore();\r\n      shapeBoxSectionStore.resetIsValidInput();\r\n      const current = this.shapes.find((s) => s.id === this.activeShapeId);\r\n      if (current !== undefined) {\r\n        current.isSelected = false;\r\n      }\r\n      this.activeShapeId = '';\r\n    },\r\n    selectShape(shapeId: string) {\r\n      const shapeBoxSectionStore = useShapeBoxSectionStore();\r\n      shapeBoxSectionStore.resetIsValidInput();\r\n      this.activeShapeId = shapeId;\r\n    },\r\n    async addArtworkPayload(\r\n      shapePayload: AnnotationShape,\r\n      positionId: string,\r\n      techniqueId: string,\r\n      createSnapshot: boolean\r\n    ) {\r\n      //this.artworkPayloads.push(artworkPayload as ArtworkPayload);\r\n      this.shapes.push(shapePayload);\r\n      this.selectShape(shapePayload.id);\r\n    },\r\n    async removeArtworkPayload(\r\n      personalizationArtworkId: string,\r\n      createSnapshot: boolean\r\n    ) {\r\n      this.deselectShape();\r\n    },\r\n    removeShape(id: string) {\r\n      this.deselectShape();\r\n\r\n      this.shapes = this.shapes.filter((s) => {\r\n        return s.id !== id;\r\n      });\r\n\r\n      this.positionShapeMap = this.positionShapeMap.filter((psm) => {\r\n        return psm.logoId !== id;\r\n      });\r\n    },\r\n    async addTextPayload(shapePayload: AnnotationShape, positionId: string) {\r\n      this.shapes.push(shapePayload);\r\n      this.selectShape(shapePayload.id);\r\n    },\r\n    removeTextPayload(id: string, createSnapshot: boolean) {\r\n      const notificationStore = useNotificationStore();\r\n      const historyStore = useHistoryStore();\r\n      const filteredShapes = this.shapes.filter((s) => {\r\n        return s.id !== id;\r\n      });\r\n      this.shapes.splice(0, this.shapes.length);\r\n      filteredShapes.forEach((x) => {\r\n        this.shapes.push(x);\r\n      });\r\n\r\n      this.positionShapeMap = this.positionShapeMap.filter((psm) => {\r\n        return psm.logoId !== id;\r\n      });\r\n\r\n      // would be nice to revalidate all instead of just deleting\r\n      notificationStore.allValidatorPipelineResults =\r\n        notificationStore.allValidatorPipelineResults.filter((pr) => {\r\n          return pr.payload.id !== id;\r\n        });\r\n\r\n      notificationStore.notificationsForBell =\r\n        notificationStore.notificationsForBell.filter((n) => {\r\n          return n.payloadId !== id;\r\n        });\r\n\r\n      this.deselectShape();\r\n\r\n      notificationStore.revalidateEmptyPrintPositions();\r\n\r\n      if (createSnapshot) {\r\n        const snapshot = createStateSnapshot();\r\n        historyStore.recordHistory(snapshot);\r\n      }\r\n    },\r\n    updateArtworkBackground(\r\n      pngFile: string,\r\n      artworkColors: PmsColor[],\r\n      height: number,\r\n      width: number\r\n    ) {\r\n      const index = this.shapes.findIndex(\r\n        (shape: AnnotationShape) => shape.id === this.activeShapeId\r\n      );\r\n\r\n      const affectedShape = this.shapes[index];\r\n\r\n      const aspectRatioWH =\r\n        (affectedShape.width as number) / (affectedShape.height as number);\r\n      const aspectRatioHW =\r\n        (affectedShape.height as number) / (affectedShape.width as number);\r\n\r\n      let recalculatedWidth = 0;\r\n      let recalculatedHeight = 0;\r\n\r\n      if (aspectRatioWH >= aspectRatioHW) {\r\n        recalculatedHeight = (affectedShape.width as number) / (width / height);\r\n        recalculatedWidth = affectedShape.width as number;\r\n      } else {\r\n        recalculatedHeight = affectedShape.height as number;\r\n        recalculatedWidth = (affectedShape.height as number) / (height / width);\r\n      }\r\n\r\n      const smallDetailsResult = affectedShape.smallDetailsResult\r\n        ? { ...affectedShape.smallDetailsResult, isCheckValid: false }\r\n        : undefined;\r\n\r\n      this.$patch((state) => {\r\n        const current = state.shapes[index];\r\n        if (current.kind === 'Logo') {\r\n          state.shapes.splice(index, 1, {\r\n            ...current,\r\n            backgroundImage: URL.createObjectURL(\r\n              base64StringToBlob(pngFile, 'image/png')\r\n            ),\r\n            pngFile: base64StringToBlob(pngFile, 'image/png'),\r\n            pngFileWithoutConverters: base64StringToBlob(pngFile, 'image/png'),\r\n            pmsColorsInPngFile: [...artworkColors],\r\n            height: recalculatedHeight,\r\n            width: recalculatedWidth,\r\n            aspectRatio: recalculatedWidth / recalculatedHeight,\r\n            smallDetailsResult,\r\n            pngWidthPixels: width,\r\n            pngHeightPixels: height,\r\n          });\r\n        }\r\n      });\r\n\r\n      const mirrorStore = useMirrorStore();\r\n      mirrorStore.updateMirrorShape(this.shapes[index]);\r\n    },\r\n    async applyEffectIfNeeded(\r\n      positionId: string,\r\n      techniqueId: string,\r\n      shapePayload: AnnotationShape\r\n    ) {\r\n      const productStore = useProductStore();\r\n      const isLaserTechnique = productStore.isLaserConverter(positionId);\r\n\r\n      if (isLaserTechnique) {\r\n        await this.applyLaserConverter(\r\n          shapePayload.id,\r\n          positionId,\r\n          techniqueId\r\n        );\r\n      }\r\n\r\n      if (productStore.isDebossingTechnique(positionId)) {\r\n        await this.applyDebossingConverter(shapePayload.id);\r\n      } else if (productStore.isPantoneColorTechnique()) {\r\n        await this.applyPantoneConverter(shapePayload.id);\r\n      }\r\n    },\r\n    async changeLogoBackground(proccessingType: string) {\r\n      const actionsStore = useActionsStore();\r\n      const command: SetArtworkBackgroundCommand = {\r\n        isFullBackground: proccessingType === 'fullBackground',\r\n        color: 2,\r\n      };\r\n\r\n      try {\r\n        this.isLoaderActive = true;\r\n\r\n        const activeShape = this.shapes.find(\r\n          (x) => x.id === this.activeShapeId\r\n        );\r\n        if (activeShape && activeShape.kind === 'Logo') {\r\n          const { data } = await FileService.changeLogoBackground(\r\n            activeShape.pngFile,\r\n            command\r\n          );\r\n          const whiteColor: PmsColor = {\r\n            red: 255,\r\n            green: 255,\r\n            blue: 255,\r\n            colorFuzz: 20,\r\n            originalName: '',\r\n            isOriginalSpotColor: false,\r\n            name: 'Pure White',\r\n            originalBlack: 0,\r\n            originalCyan: 0,\r\n            originalMagenta: 0,\r\n            originalYellow: 0,\r\n          };\r\n\r\n          const artworkColors = activeShape.pmsColorsInPngFile;\r\n\r\n          if (proccessingType === 'fullBackground') {\r\n            actionsStore.createRemoveBackgroundFullAction(\r\n              this.activeShapeId,\r\n              whiteColor\r\n            );\r\n          }\r\n\r\n          if (proccessingType !== 'fullBackground') {\r\n            actionsStore.createRemoveBackgroundOutsideImageAction(\r\n              this.activeShapeId,\r\n              whiteColor\r\n            );\r\n          }\r\n\r\n          if (data.isAllWhiteRemoved) {\r\n            const whiteColorIndex = artworkColors.findIndex(\r\n              (c) => c.name === whiteColor.name\r\n            );\r\n            if (whiteColorIndex !== -1) {\r\n              artworkColors.splice(whiteColorIndex, 1);\r\n            }\r\n          }\r\n\r\n          if (artworkColors.length !== 0) {\r\n            this.updateArtworkBackground(\r\n              data.pngFile,\r\n              artworkColors,\r\n              data.heightInPx,\r\n              data.widthInPx\r\n            );\r\n          } else {\r\n            await this.removeArtworkPayload(activeShape.id, false);\r\n          }\r\n\r\n          const notificationSore = useNotificationStore();\r\n          notificationSore.revalidateColorsOnly();\r\n\r\n          const historyStore = useHistoryStore();\r\n          const snapshot = createStateSnapshot();\r\n          historyStore.recordHistory(snapshot);\r\n        }\r\n\r\n        this.isLoaderActive = false;\r\n      } catch (error) {\r\n        this.isLoaderActive = false;\r\n        console.log('An error occurred', error);\r\n      }\r\n    },\r\n    async textToImage(\r\n      font: string,\r\n      fontSize: number,\r\n      fontWeight: string,\r\n      fontStyle: string,\r\n      text: string,\r\n      textAlignment: string,\r\n      textColor: string,\r\n      textHtml: string,\r\n      color: [number, number, number, number?],\r\n      repositionText: boolean,\r\n      shapeId: string\r\n    ) {\r\n      try {\r\n        this.isLoaderActive = true;\r\n\r\n        const command: ProcessTextCommand = {\r\n          font: font,\r\n          fontSize: fontSize,\r\n          id: shapeId,\r\n          isBold: fontWeight === 'bold',\r\n          isItalic: fontStyle === 'italic',\r\n          text: text,\r\n          textAlignment: textAlignment as TextAlignment,\r\n          textColor: textColor,\r\n        };\r\n\r\n        const { data } = await FileService.textToImage(command);\r\n\r\n        const textShapeIndex = _findIndex(this.shapes, {\r\n          id: shapeId,\r\n        });\r\n\r\n        const productStore = useProductStore();\r\n\r\n        this.$patch((state) => {\r\n          const current = state.shapes[textShapeIndex];\r\n\r\n          if (current.kind === 'Text') {\r\n            state.shapes.splice(textShapeIndex, 1, {\r\n              ...current,\r\n              backgroundImage: URL.createObjectURL(\r\n                base64StringToBlob(data.pngFile, 'image/png')\r\n              ),\r\n              pngFile: base64StringToBlob(data.pngFile, 'image/png'),\r\n              pngFileWithoutConverters: base64StringToBlob(\r\n                data.pngFile,\r\n                'image/png'\r\n              ),\r\n              height: data.pngHeightPixels,\r\n              width: data.pngWidthPixels,\r\n              originalWidthMM: data.originalWidthMM,\r\n              originalHeightMM: data.originalHeightMM,\r\n              smallDetailsResult:\r\n                current.smallDetailsResult !== undefined\r\n                  ? {\r\n                      ...current.smallDetailsResult,\r\n                      isCheckValid: false,\r\n                    }\r\n                  : undefined,\r\n              w2pText: {\r\n                ...current.w2pText,\r\n                fontFamily: font,\r\n                fontSizePT: fontSize,\r\n                fontWeight,\r\n                fontStyle,\r\n                textAlign: textAlignment,\r\n                text: text,\r\n                textHtml: textHtml,\r\n                colorName: textColor,\r\n                color: color,\r\n              },\r\n            });\r\n          }\r\n        });\r\n\r\n        positionText(\r\n          this.shapes[textShapeIndex] as TextShape,\r\n          productStore.selectedPrintPosition.id,\r\n          repositionText\r\n        );\r\n\r\n        if (productStore.selectedPrintPosition.techniqueId) {\r\n          await this.applyEffectIfNeeded(\r\n            productStore.selectedPrintPosition.id,\r\n            productStore.selectedPrintPosition.techniqueId,\r\n            this.shapes[textShapeIndex]\r\n          );\r\n        }\r\n\r\n        const mirrorStore = useMirrorStore();\r\n        mirrorStore.updateMirrorShape(this.shapes[textShapeIndex]);\r\n\r\n        const notificationStore = useNotificationStore();\r\n        notificationStore.revalidateColorsOnly();\r\n\r\n        const historyStore = useHistoryStore();\r\n        const snapshot = createStateSnapshot();\r\n        historyStore.recordHistory(snapshot);\r\n\r\n        this.isLoaderActive = false;\r\n      } catch (error) {\r\n        this.isLoaderActive = false;\r\n        console.log('An error occurred', error);\r\n      }\r\n    },\r\n    async replaceColor(from: PmsColor, to: PmsColor) {\r\n      const productStore = useProductStore();\r\n      const actionsStore = useActionsStore();\r\n      const mirrorStore = useMirrorStore();\r\n\r\n      const textPrintPositionShapes = this.shapes\r\n        .filter((shape) =>\r\n          this.positionShapeMap.some(\r\n            (psm) =>\r\n              psm.id === productStore.selectedPrintPosition.id &&\r\n              psm.logoId === shape.id\r\n          )\r\n        )\r\n        .filter(textShapes)\r\n        .filter((x) => x.kind === 'Text' && x.w2pText.colorName === from.name);\r\n\r\n      textPrintPositionShapes.map((t) => {\r\n        const textShapeIndex = _findIndex(this.shapes, {\r\n          id: t.id,\r\n        });\r\n\r\n        const { red: r, green: g, blue: b } = to;\r\n\r\n        this.$patch((state) => {\r\n          const current = state.shapes[textShapeIndex];\r\n          if (current.kind === 'Text') {\r\n            this.textToImage(\r\n              current.w2pText.fontFamily,\r\n              current.w2pText.fontSizePT,\r\n              current.w2pText.fontWeight,\r\n              current.w2pText.fontStyle,\r\n              current.w2pText.text,\r\n              current.w2pText.textAlign,\r\n              to.name,\r\n              current.w2pText.textHtml,\r\n              [to.red, to.green, to.blue, to.colorFuzz],\r\n              false,\r\n              current.id\r\n            );\r\n          }\r\n        });\r\n\r\n        mirrorStore.updateMirrorShape(this.shapes[textShapeIndex]);\r\n      });\r\n\r\n      const nonTextPrintPositionShapes = this.shapes\r\n        .filter((shape) =>\r\n          this.positionShapeMap.some(\r\n            (psm) =>\r\n              psm.id === productStore.selectedPrintPosition.id &&\r\n              psm.logoId === shape.id\r\n          )\r\n        )\r\n        .filter(nonTextShapes) as LogoShape[];\r\n\r\n      const artworksForProcessing = nonTextPrintPositionShapes.filter((a) => {\r\n        return a.pmsColorsInPngFile.some((c) => c.name.includes(from.name));\r\n      });\r\n\r\n      if (artworksForProcessing.length > 0) {\r\n        const dataToReturn = [] as {\r\n          id: string;\r\n          file: string;\r\n        }[];\r\n\r\n        for (const artwork of artworksForProcessing) {\r\n          const channel = artwork.pmsColorsInPngFile;\r\n          const colorsToChange =\r\n            artwork.pmsColorsInPngFile.filter((c) => c.name === from.name) ||\r\n            from;\r\n          let lastFile = '';\r\n          let lastBlob = artwork.pngFileWithoutConverters as Blob;\r\n          const mappedPngFile = {\r\n            id: artwork.personalizationArtworkId,\r\n            file: artwork.pngFile as Blob,\r\n          };\r\n          for (let i = 0; i < colorsToChange.length; i++) {\r\n            const command: ChangeColorCommand = {\r\n              oldColorToReplace: colorsToChange[i],\r\n              newColorToSet: to,\r\n              channels: channel,\r\n            };\r\n\r\n            try {\r\n              this.isLoaderActive = true;\r\n\r\n              const { data } = await FileService.replaceColor(command, [\r\n                lastBlob,\r\n              ]);\r\n\r\n              actionsStore.createReplaceColorAction(mappedPngFile.id, from, to);\r\n\r\n              lastFile = data.pngFiles[0];\r\n              lastBlob = base64StringToBlob(data.pngFiles[0], 'image/png');\r\n            } catch (error) {\r\n              console.log('An error occurred', error);\r\n              this.isLoaderActive = false;\r\n            }\r\n          }\r\n          dataToReturn.push({\r\n            id: mappedPngFile.id,\r\n            file: lastFile,\r\n          });\r\n        }\r\n        this.isLoaderActive = false;\r\n        return dataToReturn;\r\n      }\r\n    },\r\n\r\n    async makeLogoRound(currentShapeIndex: number) {\r\n      const productStore = useProductStore();\r\n      const actionsStore = useActionsStore();\r\n\r\n      const command: DoRoundCroppingCommand = {\r\n        croppingAreaAspectRatioX: '1',\r\n        croppingAreaAspectRatioY:\r\n          (productStore.activePosition.printArea?.heightMm as number) /\r\n          (productStore.activePosition.printArea?.widthMm as number),\r\n      };\r\n      try {\r\n        this.isLoaderActive = true;\r\n        const current = this.shapes[currentShapeIndex];\r\n\r\n        if (\r\n          current.kind === 'Logo' &&\r\n          productStore.selectedPrintPosition.techniqueId\r\n        ) {\r\n          const { data } = await FileService.roundCropping(\r\n            current.pngFileWithoutConverters as Blob,\r\n            command\r\n          );\r\n\r\n          const affectedShape = this.shapes[currentShapeIndex];\r\n\r\n          const smallDetailsResult = affectedShape.smallDetailsResult\r\n            ? {\r\n                ...affectedShape.smallDetailsResult,\r\n                isCheckValid: false,\r\n              }\r\n            : undefined;\r\n\r\n          //Calculate position and size that will fill area:\r\n          const {\r\n            originalImageWebDpi,\r\n            originalImageWidthPx,\r\n            originalImageDpi,\r\n          } = productStore.activePosition;\r\n          const webImageWidthPx =\r\n            originalImageWidthPx &&\r\n            originalImageWebDpi &&\r\n            originalImageDpi &&\r\n            (originalImageWidthPx * originalImageWebDpi) / originalImageDpi;\r\n          const rectLineWidth = (lineWidth * (webImageWidthPx as number)) / 100;\r\n          const areaRect = {\r\n            x:\r\n              productStore.drawPoints(productStore.activePosition.id).x -\r\n              productStore.drawPoints(productStore.activePosition.id).rx +\r\n              rectLineWidth / 2,\r\n            y:\r\n              productStore.drawPoints(productStore.activePosition.id).y -\r\n              productStore.drawPoints(productStore.activePosition.id).ry +\r\n              rectLineWidth / 2,\r\n            w:\r\n              productStore.drawPoints(productStore.activePosition.id).rx * 2 -\r\n              rectLineWidth,\r\n            h:\r\n              productStore.drawPoints(productStore.activePosition.id).ry * 2 -\r\n              rectLineWidth,\r\n          };\r\n\r\n          let calcArtworkWidth = 0;\r\n          let calcArtworkHeight = 0;\r\n          const CORRECTION_FACTOR = 0;\r\n          const artworkRatio = data.newWidth / data.newHeight;\r\n          const areaRatio = areaRect.w / areaRect.h;\r\n          // Artwork is more landscape than area - fit to width\r\n          if (artworkRatio > areaRatio) {\r\n            calcArtworkWidth = areaRect.w - CORRECTION_FACTOR;\r\n            calcArtworkHeight =\r\n              (calcArtworkWidth / data.newWidth) * data.newHeight;\r\n          }\r\n          // Artwork is more portrait than area - fit to height\r\n          else {\r\n            calcArtworkHeight = areaRect.h - CORRECTION_FACTOR;\r\n            calcArtworkWidth =\r\n              (calcArtworkHeight / data.newHeight) * data.newWidth;\r\n          }\r\n\r\n          //Calculate percentage croppend from each edge\r\n          actionsStore.createCropAction(this.activeShapeId, {\r\n            left:\r\n              data.newWidth == current.pngWidthPixels\r\n                ? 0\r\n                : ((current.pngWidthPixels - data.newWidth / 2) /\r\n                    current.pngWidthPixels) *\r\n                  100,\r\n            right:\r\n              data.newWidth == current.pngWidthPixels\r\n                ? 0\r\n                : ((current.pngWidthPixels - data.newWidth / 2) /\r\n                    current.pngWidthPixels) *\r\n                  100,\r\n            top:\r\n              data.newHeight == current.pngHeightPixels\r\n                ? 0\r\n                : ((current.pngHeightPixels - data.newHeight / 2) /\r\n                    current.pngHeightPixels) *\r\n                  100,\r\n            bottom:\r\n              data.newHeight == current.pngHeightPixels\r\n                ? 0\r\n                : ((current.pngHeightPixels - data.newHeight / 2) /\r\n                    current.pngHeightPixels) *\r\n                  100,\r\n          });\r\n\r\n          this.$patch((state) => {\r\n            state.shapes.splice(currentShapeIndex, 1, {\r\n              ...current,\r\n              backgroundImage: URL.createObjectURL(\r\n                base64StringToBlob(data.pngFile, 'image/png')\r\n              ),\r\n              pngFile: base64StringToBlob(data.pngFile, 'image/png'),\r\n              pngFileWithoutConverters: base64StringToBlob(\r\n                data.pngFile,\r\n                'image/png'\r\n              ),\r\n              pngHeightPixels: data.newHeight,\r\n              pngWidthPixels: data.newWidth,\r\n              width: calcArtworkWidth,\r\n              height: calcArtworkHeight,\r\n              aspectRatio: calcArtworkWidth / calcArtworkHeight,\r\n              smallDetailsResult,\r\n              x: areaRect.x + lineWidth,\r\n              y: areaRect.y + lineWidth,\r\n              isRoundLogo: true,\r\n            });\r\n          });\r\n\r\n          await this.applyEffectIfNeeded(\r\n            productStore.selectedPrintPosition.id,\r\n            productStore.selectedPrintPosition.techniqueId,\r\n            current\r\n          );\r\n\r\n          const historyStore = useHistoryStore();\r\n          const snapshot = createStateSnapshot();\r\n          historyStore.recordHistory(snapshot);\r\n        }\r\n\r\n        this.isLoaderActive = false;\r\n      } catch (error) {\r\n        this.isLoaderActive = false;\r\n        console.log('An error occurred', error);\r\n      }\r\n    },\r\n\r\n    async removeColor(color: PmsColor) {\r\n      const productStore = useProductStore();\r\n      const actionsStore = useActionsStore();\r\n      const colorMngStore = useColorMngStore();\r\n\r\n      const textPrintPositionShapes = this.shapes\r\n        .filter((shape) =>\r\n          this.positionShapeMap.some(\r\n            (psm) =>\r\n              psm.id === productStore.selectedPrintPosition.id &&\r\n              psm.logoId === shape.id\r\n          )\r\n        )\r\n        .filter(textShapes)\r\n        .filter((t) => t.kind === 'Text' && t.w2pText.colorName === color.name);\r\n\r\n      textPrintPositionShapes.map((t) => {\r\n        const textShapeIndex = _findIndex(this.shapes, {\r\n          id: t.id,\r\n        });\r\n\r\n        if (textShapeIndex !== -1) {\r\n          this.removeTextPayload(t.id, false);\r\n        }\r\n      });\r\n\r\n      const nonTextPrintPositionShapes = this.shapes\r\n        .filter((shape) =>\r\n          this.positionShapeMap.some(\r\n            (psm) =>\r\n              psm.id === productStore.selectedPrintPosition.id &&\r\n              psm.logoId === shape.id\r\n          )\r\n        )\r\n        .filter(nonTextShapes) as LogoShape[];\r\n\r\n      const artworksForProcessing = nonTextPrintPositionShapes.filter((a) => {\r\n        return a.pmsColorsInPngFile.some((c) => c.name.includes(color.name));\r\n      });\r\n\r\n      if (artworksForProcessing.length > 0) {\r\n        const colorsWithSameName = new Array<PmsColor>();\r\n        artworksForProcessing.forEach((artwork) => {\r\n          artwork.pmsColorsInPngFile.forEach((pmsColor) => {\r\n            if (pmsColor.name == color.name) {\r\n              colorsWithSameName.push(pmsColor);\r\n            }\r\n          });\r\n        });\r\n        const mapedPngFiles = artworksForProcessing.map((a) => {\r\n          return {\r\n            id: a.personalizationArtworkId,\r\n            file: a.pngFileWithoutConverters as Blob,\r\n          };\r\n        });\r\n        let latestBlobs = mapedPngFiles.map((x) => {\r\n          return x.file;\r\n        });\r\n        let latestData: RemoveColorResult[];\r\n        for (let i = 0; i < colorsWithSameName.length; i++) {\r\n          const command: RemoveColorCommand = {\r\n            colorToRemove: colorsWithSameName[i],\r\n            channels: colorMngStore.getPmsColorsOnPrintPosition,\r\n          };\r\n          try {\r\n            this.isLoaderActive = true;\r\n\r\n            const { data } = await FileService.removeColor(\r\n              command,\r\n              latestBlobs\r\n            );\r\n            latestBlobs = data.map((x) => {\r\n              return base64StringToBlob(x.pngFile);\r\n            });\r\n            latestData = data;\r\n          } catch (error) {\r\n            this.isLoaderActive = false;\r\n            console.log('An error occurred', error);\r\n          }\r\n        }\r\n        const returnData = mapedPngFiles.map((x, i) => {\r\n          actionsStore.createRemoveColorAction(x.id, color);\r\n          return { id: x.id, file: latestData[i] };\r\n        });\r\n\r\n        this.isLoaderActive = false;\r\n        return returnData;\r\n      }\r\n    },\r\n    async revertArtworkBackground() {\r\n      const whiteColor: PmsColor = {\r\n        red: 255,\r\n        green: 255,\r\n        blue: 255,\r\n        colorFuzz: 20,\r\n        originalName: '',\r\n        isOriginalSpotColor: false,\r\n        name: 'Pure White',\r\n        originalBlack: 0,\r\n        originalCyan: 0,\r\n        originalMagenta: 0,\r\n        originalYellow: 0,\r\n      };\r\n      const command: SetArtworkBackgroundCommand = {\r\n        isFullBackground: true,\r\n        color: 1, //White\r\n        doRevertBackground: true,\r\n      };\r\n\r\n      try {\r\n        this.isLoaderActive = true;\r\n        const activeShape = this.shapes.find(\r\n          (x) => x.id === this.activeShapeId\r\n        );\r\n\r\n        if (activeShape && activeShape.kind === 'Logo') {\r\n          const { data } = await FileService.changeLogoBackground(\r\n            activeShape.pngFile,\r\n            command\r\n          );\r\n          let artworkColors = [...activeShape.pmsColorsInPngFile];\r\n          const whiteAlreadyExists =\r\n            artworkColors.findIndex((c) => c.name === whiteColor.name) !== -1;\r\n          if (!whiteAlreadyExists) {\r\n            artworkColors = [...artworkColors, whiteColor];\r\n          }\r\n\r\n          this.updateArtworkBackground(\r\n            data.pngFile,\r\n            [...artworkColors],\r\n            data.heightInPx,\r\n            data.widthInPx\r\n          );\r\n\r\n          const notificationStore = useNotificationStore();\r\n          notificationStore.revalidateColorsOnly();\r\n\r\n          const historyStore = useHistoryStore();\r\n          const snapshot = createStateSnapshot();\r\n          historyStore.recordHistory(snapshot);\r\n        }\r\n\r\n        this.isLoaderActive = false;\r\n      } catch (error) {\r\n        this.isLoaderActive = false;\r\n        console.log('An error occurred', error);\r\n      }\r\n    },\r\n    updateBackground(pngFile: string, shapePayload: AnnotationShape) {\r\n      const shapeIndex = this.shapes.findIndex(\r\n        (shape: AnnotationShape) => shape.id === shapePayload.id\r\n      );\r\n      const current = this.shapes[shapeIndex];\r\n      if (current) {\r\n        this.$patch((state) => {\r\n          state.shapes.splice(shapeIndex, 1, {\r\n            ...current,\r\n            backgroundImage: pngFile,\r\n          });\r\n        });\r\n      }\r\n    },\r\n    async applyLaserConverter(\r\n      shapeId: string,\r\n      positionId: string,\r\n      techniqueId: string\r\n    ) {\r\n      try {\r\n        this.isLoaderActive = true;\r\n        const productStore = useProductStore();\r\n        const mappedVariants =\r\n          productStore.selectedVariants &&\r\n          productStore.selectedVariants.map((el) => ({\r\n            ...el,\r\n            ...productStore.data.variants.find((v) => el.productName == v.name),\r\n          }));\r\n\r\n        const shapePayload = {\r\n          ...this.shapes[this.shapes.findIndex((x) => x.id === shapeId)],\r\n        };\r\n\r\n        if (shapePayload) {\r\n          shapePayload.variantArtworkImages = [];\r\n\r\n          await Promise.all(\r\n            mappedVariants.map(async (v) => {\r\n              const laserConfiguration: LaserConfiguration =\r\n                productStore.getVariantLaserColor(\r\n                  positionId,\r\n                  techniqueId,\r\n                  v.sku as string\r\n                );\r\n              const laserEffectsCommand = {\r\n                laserEffects: [\r\n                  {\r\n                    variantColor: v.variantColor,\r\n                    laserPercentage: laserConfiguration.laserPercentage,\r\n                    laserColor: laserConfiguration.laserColor,\r\n                  },\r\n                ],\r\n              };\r\n              if (laserConfiguration && shapePayload) {\r\n                const { data } = await FileService.applyLaserEffect(\r\n                  shapePayload.pngFileWithoutConverters as Blob,\r\n                  JSON.stringify(laserEffectsCommand)\r\n                );\r\n\r\n                const variantImages = shapePayload.variantArtworkImages;\r\n                this.$patch((state) => {\r\n                  state.shapes.splice(\r\n                    this.shapes.findIndex((x) => x.id === shapeId),\r\n                    1,\r\n                    {\r\n                      ...state.shapes[\r\n                        this.shapes.findIndex((x) => x.id === shapeId)\r\n                      ],\r\n                      ...{\r\n                        variantArtworkImages: [\r\n                          ...shapePayload.variantArtworkImages,\r\n                          {\r\n                            variantColor: v.colour as string,\r\n                            variantArtworkPng: base64StringToBlob(\r\n                              data.results[0].pngFile,\r\n                              'image/png'\r\n                            ),\r\n                            leftPercentage: 0,\r\n                            topPercentage: 0,\r\n                            widthPercentage: 0,\r\n                            heightPercentage: 0,\r\n                          },\r\n                        ],\r\n                      },\r\n\r\n                      ...(productStore.selectedVariant.name ===\r\n                        v.productName && {\r\n                        pngFile: base64StringToBlob(\r\n                          data.results[0].pngFile,\r\n                          'image/png'\r\n                        ),\r\n                      }),\r\n                    }\r\n                  );\r\n                });\r\n                shapePayload.variantArtworkImages = [\r\n                  ...variantImages,\r\n                  {\r\n                    variantColor: v.colour as string,\r\n                    variantArtworkPng: base64StringToBlob(\r\n                      data.results[0].pngFile,\r\n                      'image/png'\r\n                    ),\r\n                    leftPercentage: 0,\r\n                    topPercentage: 0,\r\n                    widthPercentage: 0,\r\n                    heightPercentage: 0,\r\n                  },\r\n                ];\r\n              }\r\n            })\r\n          );\r\n\r\n          const actionsStore = useActionsStore();\r\n\r\n          if (shapePayload && shapePayload.kind === 'Logo') {\r\n            actionsStore.createLaserConverterAction(\r\n              shapePayload.personalizationArtworkId\r\n            );\r\n          }\r\n\r\n          const updatedShape =\r\n            this.shapes[this.shapes.findIndex((x) => x.id === shapeId)];\r\n          const image = updatedShape.variantArtworkImages.find(\r\n            (i) => i.variantColor === productStore.selectedVariant.colour\r\n          )?.variantArtworkPng;\r\n\r\n          if (image) {\r\n            this.updateBackground(\r\n              URL.createObjectURL(image),\r\n              this.shapes[this.shapes.findIndex((x) => x.id === shapeId)]\r\n            );\r\n          }\r\n        }\r\n        this.isLoaderActive = false;\r\n      } catch (error) {\r\n        this.isLoaderActive = false;\r\n        console.log('An error occurred', error);\r\n      }\r\n    },\r\n    async applyPantoneConverter(shapeId: string) {\r\n      try {\r\n        this.isLoaderActive = true;\r\n        const productStore = useProductStore();\r\n        const mappedVariants =\r\n          productStore.selectedVariants &&\r\n          productStore.selectedVariants.map((el) => ({\r\n            ...el,\r\n            ...productStore.data.variants.find((v) => el.productName == v.name),\r\n          }));\r\n\r\n        const shapePayload = {\r\n          ...this.shapes[this.shapes.findIndex((x) => x.id === shapeId)],\r\n        };\r\n\r\n        if (shapePayload && shapePayload.kind === 'Logo') {\r\n          shapePayload.variantArtworkImages = [];\r\n          const colorManagementStore = useColorsManagementStore();\r\n\r\n          await Promise.all(\r\n            mappedVariants.map(async (v) => {\r\n              const changeColorsCommand = {\r\n                replaceColors: shapePayload.pmsColorsInPngFile.map((x) => {\r\n                  const newColorToSet =\r\n                    colorManagementStore.availablePmsColors.find(\r\n                      (y) => y.name === x.name\r\n                    );\r\n                  return {\r\n                    oldColorToReplace: x,\r\n                    newColorToSet: newColorToSet ? newColorToSet : x,\r\n                  };\r\n                }),\r\n              };\r\n\r\n              const { data } = await FileService.replaceColors(\r\n                changeColorsCommand,\r\n                shapePayload.pngFileWithoutConverters as Blob\r\n              );\r\n\r\n              const variantImages = shapePayload.variantArtworkImages;\r\n              this.$patch((state) => {\r\n                state.shapes.splice(\r\n                  this.shapes.findIndex((x) => x.id === shapeId),\r\n                  1,\r\n                  {\r\n                    ...state.shapes[\r\n                      this.shapes.findIndex((x) => x.id === shapeId)\r\n                    ],\r\n                    ...{\r\n                      variantArtworkImages: [\r\n                        ...shapePayload.variantArtworkImages,\r\n                        {\r\n                          variantColor: v.colour as string,\r\n                          variantArtworkPng: base64StringToBlob(\r\n                            data,\r\n                            'image/png'\r\n                          ),\r\n                          leftPercentage: 0,\r\n                          topPercentage: 0,\r\n                          widthPercentage: 0,\r\n                          heightPercentage: 0,\r\n                        },\r\n                      ],\r\n                    },\r\n\r\n                    ...(productStore.selectedVariant.name === v.productName && {\r\n                      pngFile: base64StringToBlob(data, 'image/png'),\r\n                    }),\r\n                  }\r\n                );\r\n              });\r\n              shapePayload.variantArtworkImages = [\r\n                ...variantImages,\r\n                {\r\n                  variantColor: v.colour as string,\r\n                  variantArtworkPng: base64StringToBlob(data, 'image/png'),\r\n                  leftPercentage: 0,\r\n                  topPercentage: 0,\r\n                  widthPercentage: 0,\r\n                  heightPercentage: 0,\r\n                },\r\n              ];\r\n            })\r\n          );\r\n\r\n          const actionsStore = useActionsStore();\r\n\r\n          if (shapePayload && shapePayload.kind === 'Logo') {\r\n            actionsStore.createPantoneConverterAction(\r\n              shapePayload.personalizationArtworkId\r\n            );\r\n          }\r\n\r\n          const updatedShape =\r\n            this.shapes[this.shapes.findIndex((x) => x.id === shapeId)];\r\n          const image = updatedShape.variantArtworkImages.find(\r\n            (i) => i.variantColor === productStore.selectedVariant.colour\r\n          )?.variantArtworkPng;\r\n\r\n          if (image) {\r\n            this.updateBackground(\r\n              URL.createObjectURL(image),\r\n              this.shapes[this.shapes.findIndex((x) => x.id === shapeId)]\r\n            );\r\n          }\r\n        }\r\n        this.isLoaderActive = false;\r\n      } catch (error) {\r\n        this.isLoaderActive = false;\r\n        console.log('An error occurred', error);\r\n      }\r\n    },\r\n    async applyDebossingConverter(shapeId: string) {\r\n      try {\r\n        this.isLoaderActive = true;\r\n        const productStore = useProductStore();\r\n        const mappedVariants =\r\n          productStore.selectedVariants &&\r\n          productStore.selectedVariants.map((el) => ({\r\n            ...el,\r\n            ...productStore.data.variants.find((v) => el.productName == v.name),\r\n          }));\r\n\r\n        const shapePayload = {\r\n          ...this.shapes[this.shapes.findIndex((x) => x.id === shapeId)],\r\n        };\r\n        if (shapePayload) {\r\n          shapePayload.variantArtworkImages = [];\r\n\r\n          await Promise.all(\r\n            mappedVariants.map(async (v) => {\r\n              if (shapePayload) {\r\n                const variantImage = v.images?.find(\r\n                  (i) =>\r\n                    i.printPositionID == productStore.selectedPrintPosition.id\r\n                );\r\n                if (variantImage && variantImage.mostUsedColor) {\r\n                  const { data } = await FileService.applyDebossingEffect(\r\n                    shapePayload.pngFileWithoutConverters as Blob,\r\n                    JSON.stringify({\r\n                      debossingEffects: [\r\n                        {\r\n                          colorHex: variantImage.mostUsedColor,\r\n                          variantColor: v.variantColor,\r\n                        },\r\n                      ],\r\n                    })\r\n                  );\r\n\r\n                  const variantImages = shapePayload.variantArtworkImages;\r\n                  this.$patch((state) => {\r\n                    state.shapes.splice(\r\n                      this.shapes.findIndex((x) => x.id === shapeId),\r\n                      1,\r\n                      {\r\n                        ...state.shapes[\r\n                          this.shapes.findIndex((x) => x.id === shapeId)\r\n                        ],\r\n                        ...{\r\n                          variantArtworkImages: [\r\n                            ...shapePayload.variantArtworkImages,\r\n                            {\r\n                              variantColor: v.colour as string,\r\n                              variantArtworkPng: base64StringToBlob(\r\n                                data.results[0].pngFile,\r\n                                'image/png'\r\n                              ),\r\n                              leftPercentage: 0,\r\n                              topPercentage: 0,\r\n                              widthPercentage: 0,\r\n                              heightPercentage: 0,\r\n                            },\r\n                          ],\r\n                        },\r\n\r\n                        ...(productStore.selectedVariant.name ===\r\n                          v.productName && {\r\n                          pngFile: base64StringToBlob(\r\n                            data.results[0].pngFile,\r\n                            'image/png'\r\n                          ),\r\n                        }),\r\n                      }\r\n                    );\r\n                  });\r\n                  shapePayload.variantArtworkImages = [\r\n                    ...variantImages,\r\n                    {\r\n                      variantColor: v.colour as string,\r\n                      variantArtworkPng: base64StringToBlob(\r\n                        data.results[0].pngFile,\r\n                        'image/png'\r\n                      ),\r\n                      leftPercentage: 0,\r\n                      topPercentage: 0,\r\n                      widthPercentage: 0,\r\n                      heightPercentage: 0,\r\n                    },\r\n                  ];\r\n                }\r\n              }\r\n            })\r\n          );\r\n\r\n          const actionsStore = useActionsStore();\r\n          if (shapePayload) {\r\n            if (shapePayload.kind === 'Logo') {\r\n              actionsStore.createDebossingConverterAction(\r\n                shapePayload.personalizationArtworkId\r\n              );\r\n            }\r\n\r\n            const updatedShape =\r\n              this.shapes[this.shapes.findIndex((x) => x.id === shapeId)];\r\n            const image = updatedShape.variantArtworkImages.find(\r\n              (i) => i.variantColor === productStore.selectedVariant.colour\r\n            )?.variantArtworkPng;\r\n\r\n            if (image) {\r\n              this.updateBackground(\r\n                URL.createObjectURL(image),\r\n                this.shapes[this.shapes.findIndex((x) => x.id === shapeId)]\r\n              );\r\n            }\r\n          }\r\n        }\r\n        this.isLoaderActive = false;\r\n      } catch (error) {\r\n        this.isLoaderActive = false;\r\n        console.log('An error occurred', error);\r\n      }\r\n    },\r\n    async convertToBlob(fileUrl: string) {\r\n      const res = await axios({\r\n        url: fileUrl,\r\n        method: 'GET',\r\n        responseType: 'blob',\r\n      });\r\n      return res.data;\r\n    },\r\n\r\n    async initializeStateFromPersonalization(personalization: Personalization) {\r\n      const productStore = useProductStore();\r\n      const actionStore = useActionsStore();\r\n\r\n      const printPositions = personalization.proofs[0].productPrintPositions;\r\n\r\n      for (const pos of printPositions) {\r\n        const product = productStore.data.productPrintPositions.find(\r\n          (p) => p.name === pos.name\r\n        );\r\n        const positionID = product?.id;\r\n        const originalDPI = product?.originalImageWebDpi as number;\r\n\r\n        let mappedArtworkIds: Record<string, string>[] =\r\n          pos.personalizationArtworks.map((a) => {\r\n            return {\r\n              id: positionID,\r\n              logoId: a.id,\r\n            } as Record<string, string>;\r\n          });\r\n\r\n        const isLaserConverter = productStore.isLaserConverter(\r\n          positionID,\r\n          pos.productPrintTechnique.sapCode\r\n        );\r\n        const isDebossing = productStore.isDebossingTechnique(\r\n          positionID,\r\n          pos.productPrintTechnique.sapCode\r\n        );\r\n\r\n        this.positionShapeMap = [...this.positionShapeMap, ...mappedArtworkIds];\r\n        mappedArtworkIds = [];\r\n\r\n        for (const a of pos.personalizationArtworks) {\r\n          const imageBlob = await this.convertToBlob(a.pngFileUrl);\r\n\r\n          let variantArtworkImages: VariantArtworkImages[] = [];\r\n\r\n          if (isLaserConverter || isDebossing) {\r\n            variantArtworkImages = await Promise.all(\r\n              a.variantArtworkImages.map(async (vi) => {\r\n                const imageBlob = await this.convertToBlob(\r\n                  vi.variantArtworkPngUrl\r\n                );\r\n                return {\r\n                  variantColor: vi.variantColor,\r\n                  variantArtworkPng: imageBlob,\r\n                } as VariantArtworkImages;\r\n              })\r\n            );\r\n          }\r\n\r\n          let smallDetailsPayload: SmallDetailsPayload | undefined = undefined;\r\n\r\n          if (DoSmallDetailsPart) {\r\n            const isSmallDetailsTechnique =\r\n              productStore.isSmallDetailsTechnique(\r\n                positionID,\r\n                pos.productPrintTechnique.sapCode\r\n              );\r\n            if (a.smallDetails) {\r\n              smallDetailsPayload = {\r\n                negativeDetailsLoss: a.smallDetails.negativeLoss,\r\n                positiveDetailsLoss: a.smallDetails.positiveLoss,\r\n                status: a.smallDetails.status,\r\n                approvedAt: a.smallDetails.approvedAt\r\n                  ? a.smallDetails.approvedAt.toString()\r\n                  : undefined,\r\n                isCheckValid: true,\r\n                pngFile: a.smallDetails.fileUrl,\r\n                pngFileBlob: await this.convertToBlob(a.smallDetails.fileUrl),\r\n                calculatedQuality: a.smallDetails.calculatedQuality,\r\n                id: a.id,\r\n              };\r\n            }\r\n\r\n            if (isSmallDetailsTechnique && a.smallDetails === null) {\r\n              smallDetailsPayload = {\r\n                negativeDetailsLoss: 0,\r\n                positiveDetailsLoss: 0,\r\n                status: 'NoCheck',\r\n                approvedAt: undefined,\r\n                isCheckValid: true,\r\n                pngFile: '',\r\n                pngFileBlob: new Blob(),\r\n                calculatedQuality: 0,\r\n                id: a.id,\r\n              };\r\n            }\r\n          }\r\n\r\n          this.shapes.push({\r\n            zindex: a.zIndex,\r\n            isRoundLogo: a.isRoundLogo,\r\n            id: a.id,\r\n            pngFile: imageBlob,\r\n            pngFileWithoutConverters: imageBlob,\r\n            title: a.title !== null ? a.title : '',\r\n            originalFileUrl: a.originalFileUrl,\r\n            originalHorizontalResolutionDPIs:\r\n              a.originalHorizontalResolutionDPIs,\r\n            originalVerticalResolutionDPIs: a.originalVerticalResolutionDPIs,\r\n            pngHorizontalResolutionDPIs: a.pngHorizontalResolutionDPIs,\r\n            pngVerticalResolutionDPIs: a.pngVerticalResolutionDPIs,\r\n            pngHeightPixels: a.pngHeightPixels,\r\n            pngWidthPixels: a.pngWidthPixels,\r\n            pmsColorsInPngFile: a.pmsColorsInPngFile as PmsColor[],\r\n            personalizationArtworkId: a.id,\r\n            customerId: '',\r\n            fileName: a.fileName,\r\n            originalHeightMM: a.originalHeightMM,\r\n            originalWidthMM: a.originalWidthMM,\r\n            thumbnailUrl: '',\r\n            pngFileUrl: a.pngFileUrl,\r\n            isVectorFileTrueVectorFile: a.isVectorFileTrueVectorFile,\r\n            spotColorsInOriginalFile: [],\r\n            customerArtworkId: '',\r\n            processed: '',\r\n            x: mm2px(a.distanceFromLeftWithCropping, originalDPI),\r\n            y: mm2px(a.distanceFromTopWithCropping, originalDPI),\r\n            width: mm2px(a.widthWithCropping, originalDPI),\r\n            height: mm2px(a.heightWithCropping, originalDPI),\r\n            rotation: a.rotationAngle * (Math.PI / 180),\r\n            aspectRatio:\r\n              mm2px(a.widthWithCropping, originalDPI) /\r\n              mm2px(a.heightWithCropping, originalDPI),\r\n            backgroundImage: URL.createObjectURL(\r\n              variantArtworkImages.find(\r\n                (v) => v.variantColor === productStore.selectedVariant.colour\r\n              )?.variantArtworkPng || imageBlob\r\n            ),\r\n            smallDetailsResult: smallDetailsPayload,\r\n            isInArea: false,\r\n            isSelected: false,\r\n            alignedTo: '',\r\n            variantArtworkImages: variantArtworkImages,\r\n            kind: 'Logo',\r\n          } as AnnotationShape);\r\n\r\n          actionStore.initializeUserActionForArtwork(a.id, a.userActions);\r\n        }\r\n\r\n        for (const t of pos.personalizationTexts) {\r\n          const imageBlob =\r\n            t.pngFileUrl !== null ? await this.convertToBlob(t.pngFileUrl) : '';\r\n\r\n          let colorRGBArray = [];\r\n\r\n          let smallDetailsPayload: SmallDetailsPayload | undefined = undefined;\r\n\r\n          if (DoSmallDetailsPart && t.smallDetails) {\r\n            smallDetailsPayload = {\r\n              negativeDetailsLoss: t.smallDetails.negativeLoss,\r\n              positiveDetailsLoss: t.smallDetails.positiveLoss,\r\n              status: t.smallDetails.status,\r\n              approvedAt: t.smallDetails.approvedAt\r\n                ? t.smallDetails.approvedAt.toString()\r\n                : undefined,\r\n              isCheckValid: true,\r\n              pngFile: t.smallDetails.fileUrl,\r\n              pngFileBlob: await this.convertToBlob(t.smallDetails.fileUrl),\r\n              calculatedQuality: t.smallDetails.calculatedQuality,\r\n              id: t.id,\r\n            };\r\n          }\r\n\r\n          if (isLaserConverter) {\r\n            const techniqueId = product?.printTechniques.find(\r\n              (x) => x.printTechnique.code === pos.productPrintTechnique.sapCode\r\n            )?.id;\r\n            const laserColor = productStore.getVariantLaserColor(\r\n              product?.id as string,\r\n              techniqueId as string,\r\n              productStore.selectedVariant.sku\r\n            );\r\n            const { red: r, green: g, blue: b } = laserColor.laserColor;\r\n            colorRGBArray = [r, g, b];\r\n          } else {\r\n            const { red: r, green: g, blue: b } = t.pmsColorInfo;\r\n            colorRGBArray = [r, g, b];\r\n          }\r\n\r\n          let variantArtworkImages: VariantArtworkImages[] = [];\r\n          if (isLaserConverter || isDebossing) {\r\n            variantArtworkImages = await Promise.all(\r\n              t.variantArtworkImages.map(async (vi) => {\r\n                const imageBlob = await this.convertToBlob(\r\n                  vi.variantArtworkPngUrl\r\n                );\r\n                return {\r\n                  variantColor: vi.variantColor,\r\n                  variantArtworkPng: imageBlob,\r\n                } as VariantArtworkImages;\r\n              })\r\n            );\r\n          }\r\n\r\n          this.positionShapeMap = [\r\n            ...this.positionShapeMap,\r\n            { id: positionID, logoId: t.id } as Record<string, string>,\r\n          ];\r\n\r\n          const newShape = {\r\n            zindex: t.zIndex,\r\n            isRoundLogo: false,\r\n            id: t.id,\r\n            width: t.width === 0 ? 1500 : mm2px(t.width, originalDPI), // this will be deleted when Dario fix issue on back side\r\n            height: t.height === 0 ? 500 : mm2px(t.height, originalDPI), // this will be deleted when Dario fix issue on back side\r\n            x: mm2px(t.distanceFromLeft, originalDPI),\r\n            y: mm2px(t.distanceFromTop, originalDPI),\r\n            rotation: t.rotationAngle * (Math.PI / 180),\r\n            title: t.text,\r\n            disableInput: true,\r\n            smallDetailsResult: smallDetailsPayload,\r\n            isInArea: false,\r\n            isSelected: false,\r\n            kind: 'Text',\r\n            backgroundImage:\r\n              t.pngFileUrl !== null\r\n                ? URL.createObjectURL(\r\n                    variantArtworkImages.find(\r\n                      (v) =>\r\n                        v.variantColor === productStore.selectedVariant.colour\r\n                    )?.variantArtworkPng || imageBlob\r\n                  )\r\n                : null,\r\n            pngFile: imageBlob,\r\n            pngFileWithoutConverters: imageBlob,\r\n            variantArtworkImages: variantArtworkImages,\r\n            originalWidthMM: t.originalWidthMM,\r\n            originalHeightMM: t.originalHeightMM,\r\n            disableResize: true,\r\n            w2pText: {\r\n              text: t.text,\r\n              textHtml: t.textHtml,\r\n              fontSizePT: t.fontSize,\r\n              fontSize: t.fontSize * (originalDPI / 72),\r\n              fontWeight: t.bold ? 'bold' : 'normal',\r\n              fontStyle: t.italic ? 'italic' : 'normal',\r\n              fontFamily: t.font,\r\n              textAlign: t.textAlignement.toLowerCase(),\r\n              colorName: t.pmsColorInfo.name,\r\n              color: colorRGBArray,\r\n              fontVariant: '',\r\n              alignedTo: '',\r\n            } as Text,\r\n          } as TextShape;\r\n\r\n          // generate the image for old personalizationtext\r\n          this.shapes.push(newShape as AnnotationShape);\r\n          if (newShape.backgroundImage === null) {\r\n            this.textToImage(\r\n              newShape.w2pText.fontFamily,\r\n              newShape.w2pText.fontSizePT,\r\n              newShape.w2pText.fontWeight,\r\n              newShape.w2pText.fontStyle,\r\n              newShape.w2pText.text,\r\n              newShape.w2pText.textAlign,\r\n              newShape.w2pText.colorName,\r\n              newShape.w2pText.textHtml,\r\n              newShape.w2pText.color,\r\n              true,\r\n              newShape.id\r\n            );\r\n          }\r\n        }\r\n\r\n        this.shapes.sort((a, b) => a.zindex - b.zindex);\r\n      }\r\n    },\r\n  },\r\n});\r\n\r\nexport const attachActionSubscriber = (): (() => void) =>\r\n  useStore().$onAction(({ name, store, args, after, onError }) => {\r\n    after(async (result: any) => {\r\n      console.log(\r\n        `%c [action \"${name}\" \"${args.join(', ')}\"]:  `,\r\n        'color: #3a539b'\r\n      );\r\n      const productStore = useProductStore();\r\n      const notificationStore = useNotificationStore();\r\n      const mirrorStore = useMirrorStore();\r\n      const historyStore = useHistoryStore();\r\n\r\n      /**\r\n       * Keep track of added artworks, along with their respective position\r\n       */\r\n      if (name === ADD_ARTWORK_PAYLOAD || name === ADD_TEXT_PAYLOAD) {\r\n        const shapePayload = args[0] as AnnotationShape;\r\n        const positionId = args[1] as string;\r\n\r\n        store.positionShapeMap.push({\r\n          id: positionId,\r\n          logoId: shapePayload.id,\r\n        });\r\n      }\r\n\r\n      if (name === ADD_ARTWORK_PAYLOAD) {\r\n        const shapePayload = args[0] as AnnotationShape;\r\n        const positionId = args[1] as string;\r\n        const techniqueId = args[2] as string;\r\n\r\n        if (shapePayload.kind === 'Logo') {\r\n          store.applyEffectIfNeeded(positionId, techniqueId, shapePayload);\r\n        }\r\n      }\r\n\r\n      if (name === ADD_ARTWORK_PAYLOAD || name === ADD_TEXT_PAYLOAD) {\r\n        const shapePayload = args[0] as AnnotationShape;\r\n        const positionId = args[1] as string;\r\n        const techniqueId = args[2] as string;\r\n\r\n        const relevantShapeMap = store.positionShapeMap.filter(\r\n          (p) => p.id === positionId\r\n        );\r\n        const relevantShapes = store.shapes.filter((s) => {\r\n          return relevantShapeMap.find((sm) => sm.logoId === s.id);\r\n        }) as AnnotationShape[];\r\n\r\n        const activePosition = productStore.printPositions?.find((p) => {\r\n          return p.id === positionId;\r\n        });\r\n\r\n        let currentPrintPosition = {} as ProductPrintPositionBoxModel;\r\n\r\n        if (activePosition) {\r\n          const techniqueName = activePosition.printTechniques.find(\r\n            (technique) => technique.id === techniqueId\r\n          )?.printTechnique.name;\r\n\r\n          currentPrintPosition = {\r\n            id: activePosition.id,\r\n            name: activePosition.name,\r\n            originalImageUrl: activePosition.originalImageUrl,\r\n            originalImageDpi: activePosition.originalImageDpi,\r\n            originalImageWebUrl: activePosition.originalImageWebUrl,\r\n            originalImageWebDpi: activePosition.originalImageWebDpi,\r\n            techniqueName: techniqueName,\r\n            techniqueId: techniqueId,\r\n            maximumColours: activePosition.printTechniques.find((technique) => {\r\n              return technique.id === techniqueId;\r\n            })?.maximumColours,\r\n            maxWidthMm: activePosition.maxWidthMm,\r\n            maxHeightMm: activePosition.maxHeightMm,\r\n          };\r\n        }\r\n\r\n        if (name === ADD_ARTWORK_PAYLOAD) {\r\n          const pipeline = constructArtworkValidationPipeline(\r\n            productStore.data,\r\n            [currentPrintPosition],\r\n            relevantShapes,\r\n            shapePayload\r\n          );\r\n          // Invoking the validation pipeline\r\n          const validatorPipelineResults = pipeline({\r\n            payload: shapePayload,\r\n            validationResult: [],\r\n          });\r\n          notificationStore.allValidatorPipelineResults.push(\r\n            validatorPipelineResults\r\n          );\r\n        }\r\n        notificationStore.revalidateColorsOnly();\r\n      }\r\n\r\n      // CHECK SMALL DETAILS RESULTS\r\n      if (DoSmallDetailsPart && name === ADD_ARTWORK_PAYLOAD) {\r\n        const shapePayload = args[0] as AnnotationShape;\r\n        const positionId = args[1] as string;\r\n\r\n        if (\r\n          shapePayload.smallDetailsResult &&\r\n          shapePayload.smallDetailsResult.status !== 'NoCheck'\r\n        ) {\r\n          const shapeValidationIdx =\r\n            notificationStore.allValidatorPipelineResults.findIndex(\r\n              (x) => x.payload.id === shapePayload.id\r\n            );\r\n\r\n          const smallDetailsValidator = {\r\n            printPositionId: positionId,\r\n            validatorName: 'smallDetails',\r\n            validatorColor: getSmallDetailsValidatorColor(\r\n              shapePayload.smallDetailsResult.status\r\n            ),\r\n          };\r\n\r\n          if (shapeValidationIdx !== -1) {\r\n            notificationStore.allValidatorPipelineResults\r\n              .find((x) => x.payload.id === shapePayload.id)\r\n              ?.validationResult.push(smallDetailsValidator);\r\n          } else {\r\n            notificationStore.allValidatorPipelineResults.push({\r\n              payload: shapePayload,\r\n              validationResult: [smallDetailsValidator],\r\n            });\r\n          }\r\n          notificationStore.setNotificationsForBell();\r\n        }\r\n      }\r\n\r\n      if (\r\n        mirrorStore.currentMirrorSettings &&\r\n        mirrorStore.currentMirrorSettings.isMirrorApplied &&\r\n        (name === ADD_ARTWORK_PAYLOAD || name === ADD_TEXT_PAYLOAD)\r\n      ) {\r\n        const shapePayload = args[0] as AnnotationShape;\r\n        mirrorStore.addMirrorShape(shapePayload);\r\n      }\r\n\r\n      if (name === ADD_ARTWORK_PAYLOAD) {\r\n        const createSnapshot = args[3];\r\n        if (createSnapshot) {\r\n          const snapshot = createStateSnapshot();\r\n          historyStore.recordHistory(snapshot);\r\n        }\r\n      }\r\n\r\n      if (name === REMOVE_ARTWORK_PAYLOAD) {\r\n        const removedId = args[0];\r\n        const stateAfterRemoval = store.positionShapeMap.filter((psm) => {\r\n          return psm.logoId !== removedId;\r\n        });\r\n        store.positionShapeMap = stateAfterRemoval;\r\n      }\r\n\r\n      if (name === REMOVE_ARTWORK_PAYLOAD) {\r\n        const removedId = args[0];\r\n        const stateAfterRemoval = store.shapes.filter((s) => {\r\n          return s.id !== removedId;\r\n        });\r\n        store.shapes.splice(0, store.shapes.length);\r\n        stateAfterRemoval.forEach((x) => {\r\n          store.shapes.push(x);\r\n        });\r\n      }\r\n\r\n      if (name === REMOVE_ARTWORK_PAYLOAD) {\r\n        // would be nice to revalidate all instead of just deleting\r\n        const removedId = args[0];\r\n        const stateAfterRemoval = notificationStore.notificationsForBell.filter(\r\n          (r) => {\r\n            return r.payloadId !== removedId;\r\n          }\r\n        );\r\n        notificationStore.notificationsForBell = stateAfterRemoval;\r\n        notificationStore.revalidateEmptyPrintPositions();\r\n      }\r\n\r\n      if (name === REMOVE_ARTWORK_PAYLOAD) {\r\n        // would be nice to revalidate all instead of just deleting\r\n        const removedId = args[0];\r\n        const stateAfterRemoval =\r\n          notificationStore.allValidatorPipelineResults.filter((r) => {\r\n            return r.payload.id !== removedId;\r\n          });\r\n        notificationStore.allValidatorPipelineResults = stateAfterRemoval;\r\n      }\r\n\r\n      if (\r\n        mirrorStore.currentMirrorSettings &&\r\n        mirrorStore.currentMirrorSettings.isMirrorApplied &&\r\n        (name === REMOVE_ARTWORK_PAYLOAD || name === REMOVE_TEXT_PAYLOAD)\r\n      ) {\r\n        const removedId = args[0] as string;\r\n        mirrorStore.removeMirrorShape(removedId);\r\n      }\r\n\r\n      if (name === REMOVE_ARTWORK_PAYLOAD) {\r\n        // would be nice to revalidate all instead of just deleting\r\n        const createSnapshot = args[1];\r\n        if (createSnapshot) {\r\n          const snapshot = createStateSnapshot();\r\n          historyStore.recordHistory(snapshot);\r\n        }\r\n      }\r\n    });\r\n\r\n    // this will trigger if the action throws or returns a promise that rejects\r\n    onError((error) => {\r\n      console.warn(`[ error ]: \"${name}\".\\nError: ${error}.`);\r\n    });\r\n  });\r\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".vue-modal-bottom,.vue-modal-bottomLeft,.vue-modal-bottomRight,.vue-modal-left,.vue-modal-right,.vue-modal-top,.vue-modal-topLeft,.vue-modal-topRight{display:block;overflow:hidden;position:absolute;background:transparent;z-index:9999999}.vue-modal-bottomLeft,.vue-modal-bottomRight,.vue-modal-topLeft,.vue-modal-topRight{width:12px;height:12px}.vue-modal-top{right:12;top:0;width:100%;height:12px;cursor:n-resize}.vue-modal-bottom{left:0;bottom:0;width:100%;height:12px;cursor:s-resize}.vue-modal-left{left:0;top:0;width:12px;height:100%;cursor:w-resize}.vue-modal-right{right:0;top:0;width:12px;height:100%;cursor:e-resize}.vue-modal-topRight{right:0;top:0;background:transparent;cursor:ne-resize}.vue-modal-topLeft{left:0;top:0;cursor:nw-resize}.vue-modal-bottomLeft{left:0;bottom:0;cursor:sw-resize}.vue-modal-bottomRight{right:0;bottom:0;cursor:se-resize}#vue-modal-triangle:after{display:block;position:absolute;content:\\\"\\\";background:transparent;left:0;top:0;width:0;height:0;border-bottom:10px solid #ddd;border-left:10px solid transparent}#vue-modal-triangle.clicked:after{border-bottom:10px solid #369be9}.vm--block-scroll{overflow:hidden;width:100vw}.vm--container{z-index:999}.vm--container,.vm--overlay{position:fixed;box-sizing:border-box;left:0;top:0;width:100%;height:100vh}.vm--overlay{background:rgba(0,0,0,.2);opacity:1}.vm--container.scrollable{height:100%;min-height:100vh;overflow-y:auto;-webkit-overflow-scrolling:touch}.vm--modal{position:relative;overflow:hidden;box-sizing:border-box;background-color:#fff;border-radius:3px;box-shadow:0 20px 60px -2px rgba(27,33,58,.4)}.vm--container.scrollable .vm--modal{margin-bottom:2px}.vm--top-right-slot{display:block;position:absolute;right:0;top:0}.vm-transition--overlay-enter-active,.vm-transition--overlay-leave-active{transition:all 50ms}.vm-transition--overlay-enter,.vm-transition--overlay-leave-active{opacity:0}.vm-transition--modal-enter-active,.vm-transition--modal-leave-active{transition:all .4s}.vm-transition--modal-enter,.vm-transition--modal-leave-active{opacity:0;transform:translateY(-20px)}.vm-transition--default-enter-active,.vm-transition--default-leave-active{transition:all 2ms}.vm-transition--default-enter,.vm-transition--default-leave-active{opacity:0}.vue-dialog{font-size:14px}.vue-dialog div{box-sizing:border-box}.vue-dialog-content{flex:1 0 auto;width:100%;padding:14px}.vue-dialog-content-title{font-weight:600;padding-bottom:14px}.vue-dialog-buttons{display:flex;flex:0 1 auto;width:100%;border-top:1px solid #eee}.vue-dialog-buttons-none{width:100%;padding-bottom:14px}.vue-dialog-button{font-size:inherit;background:transparent;padding:0;margin:0;border:0;cursor:pointer;box-sizing:border-box;line-height:40px;height:40px;color:inherit;font:inherit;outline:none}.vue-dialog-button:hover{background:#f9f9f9}.vue-dialog-button:active{background:#f3f3f3}.vue-dialog-button:not(:first-of-type){border-left:1px solid #eee}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","export * from \"-!../../../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./ProductPreview.vue?vue&type=style&index=0&id=73f1befa&prod&lang=scss&scoped=true\"","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./w2pFileUploader.vue?vue&type=style&index=0&id=3232c25d&prod&lang=scss\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"a654cd7a\", content, shadowRoot)\n};","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./TiptapToolbar.vue?vue&type=style&index=0&id=9c6e33ac&prod&lang=scss&scoped=true\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"e5dfa8dc\", content, shadowRoot)\n};","/*!\n * pinia v2.1.7\n * (c) 2023 Eduardo San Martin Morote\n * @license MIT\n */\nimport { hasInjectionContext, inject, toRaw, watch, unref, markRaw, effectScope, ref, isVue2, isRef, isReactive, set, getCurrentScope, onScopeDispose, getCurrentInstance, reactive, toRef, del, nextTick, computed, toRefs } from 'vue-demi';\nimport { setupDevtoolsPlugin } from '@vue/devtools-api';\n\n/**\n * setActivePinia must be called to handle SSR at the top of functions like\n * `fetch`, `setup`, `serverPrefetch` and others\n */\nlet activePinia;\n/**\n * Sets or unsets the active pinia. Used in SSR and internally when calling\n * actions and getters\n *\n * @param pinia - Pinia instance\n */\n// @ts-expect-error: cannot constrain the type of the return\nconst setActivePinia = (pinia) => (activePinia = pinia);\n/**\n * Get the currently active pinia if there is any.\n */\nconst getActivePinia = () => (hasInjectionContext() && inject(piniaSymbol)) || activePinia;\nconst piniaSymbol = ((process.env.NODE_ENV !== 'production') ? Symbol('pinia') : /* istanbul ignore next */ Symbol());\n\nfunction isPlainObject(\n// eslint-disable-next-line @typescript-eslint/no-explicit-any\no) {\n    return (o &&\n        typeof o === 'object' &&\n        Object.prototype.toString.call(o) === '[object Object]' &&\n        typeof o.toJSON !== 'function');\n}\n// type DeepReadonly<T> = { readonly [P in keyof T]: DeepReadonly<T[P]> }\n// TODO: can we change these to numbers?\n/**\n * Possible types for SubscriptionCallback\n */\nvar MutationType;\n(function (MutationType) {\n    /**\n     * Direct mutation of the state:\n     *\n     * - `store.name = 'new name'`\n     * - `store.$state.name = 'new name'`\n     * - `store.list.push('new item')`\n     */\n    MutationType[\"direct\"] = \"direct\";\n    /**\n     * Mutated the state with `$patch` and an object\n     *\n     * - `store.$patch({ name: 'newName' })`\n     */\n    MutationType[\"patchObject\"] = \"patch object\";\n    /**\n     * Mutated the state with `$patch` and a function\n     *\n     * - `store.$patch(state => state.name = 'newName')`\n     */\n    MutationType[\"patchFunction\"] = \"patch function\";\n    // maybe reset? for $state = {} and $reset\n})(MutationType || (MutationType = {}));\n\nconst IS_CLIENT = typeof window !== 'undefined';\n/**\n * Should we add the devtools plugins.\n * - only if dev mode or forced through the prod devtools flag\n * - not in test\n * - only if window exists (could change in the future)\n */\nconst USE_DEVTOOLS = ((process.env.NODE_ENV !== 'production') || (typeof __VUE_PROD_DEVTOOLS__ !== 'undefined' && __VUE_PROD_DEVTOOLS__)) && !(process.env.NODE_ENV === 'test') && IS_CLIENT;\n\n/*\n * FileSaver.js A saveAs() FileSaver implementation.\n *\n * Originally by Eli Grey, adapted as an ESM module by Eduardo San Martin\n * Morote.\n *\n * License : MIT\n */\n// The one and only way of getting global scope in all environments\n// https://stackoverflow.com/q/3277182/1008999\nconst _global = /*#__PURE__*/ (() => typeof window === 'object' && window.window === window\n    ? window\n    : typeof self === 'object' && self.self === self\n        ? self\n        : typeof global === 'object' && global.global === global\n            ? global\n            : typeof globalThis === 'object'\n                ? globalThis\n                : { HTMLElement: null })();\nfunction bom(blob, { autoBom = false } = {}) {\n    // prepend BOM for UTF-8 XML and text/* types (including HTML)\n    // note: your browser will automatically convert UTF-16 U+FEFF to EF BB BF\n    if (autoBom &&\n        /^\\s*(?:text\\/\\S*|application\\/xml|\\S*\\/\\S*\\+xml)\\s*;.*charset\\s*=\\s*utf-8/i.test(blob.type)) {\n        return new Blob([String.fromCharCode(0xfeff), blob], { type: blob.type });\n    }\n    return blob;\n}\nfunction download(url, name, opts) {\n    const xhr = new XMLHttpRequest();\n    xhr.open('GET', url);\n    xhr.responseType = 'blob';\n    xhr.onload = function () {\n        saveAs(xhr.response, name, opts);\n    };\n    xhr.onerror = function () {\n        console.error('could not download file');\n    };\n    xhr.send();\n}\nfunction corsEnabled(url) {\n    const xhr = new XMLHttpRequest();\n    // use sync to avoid popup blocker\n    xhr.open('HEAD', url, false);\n    try {\n        xhr.send();\n    }\n    catch (e) { }\n    return xhr.status >= 200 && xhr.status <= 299;\n}\n// `a.click()` doesn't work for all browsers (#465)\nfunction click(node) {\n    try {\n        node.dispatchEvent(new MouseEvent('click'));\n    }\n    catch (e) {\n        const evt = document.createEvent('MouseEvents');\n        evt.initMouseEvent('click', true, true, window, 0, 0, 0, 80, 20, false, false, false, false, 0, null);\n        node.dispatchEvent(evt);\n    }\n}\nconst _navigator = \n typeof navigator === 'object' ? navigator : { userAgent: '' };\n// Detect WebView inside a native macOS app by ruling out all browsers\n// We just need to check for 'Safari' because all other browsers (besides Firefox) include that too\n// https://www.whatismybrowser.com/guides/the-latest-user-agent/macos\nconst isMacOSWebView = /*#__PURE__*/ (() => /Macintosh/.test(_navigator.userAgent) &&\n    /AppleWebKit/.test(_navigator.userAgent) &&\n    !/Safari/.test(_navigator.userAgent))();\nconst saveAs = !IS_CLIENT\n    ? () => { } // noop\n    : // Use download attribute first if possible (#193 Lumia mobile) unless this is a macOS WebView or mini program\n        typeof HTMLAnchorElement !== 'undefined' &&\n            'download' in HTMLAnchorElement.prototype &&\n            !isMacOSWebView\n            ? downloadSaveAs\n            : // Use msSaveOrOpenBlob as a second approach\n                'msSaveOrOpenBlob' in _navigator\n                    ? msSaveAs\n                    : // Fallback to using FileReader and a popup\n                        fileSaverSaveAs;\nfunction downloadSaveAs(blob, name = 'download', opts) {\n    const a = document.createElement('a');\n    a.download = name;\n    a.rel = 'noopener'; // tabnabbing\n    // TODO: detect chrome extensions & packaged apps\n    // a.target = '_blank'\n    if (typeof blob === 'string') {\n        // Support regular links\n        a.href = blob;\n        if (a.origin !== location.origin) {\n            if (corsEnabled(a.href)) {\n                download(blob, name, opts);\n            }\n            else {\n                a.target = '_blank';\n                click(a);\n            }\n        }\n        else {\n            click(a);\n        }\n    }\n    else {\n        // Support blobs\n        a.href = URL.createObjectURL(blob);\n        setTimeout(function () {\n            URL.revokeObjectURL(a.href);\n        }, 4e4); // 40s\n        setTimeout(function () {\n            click(a);\n        }, 0);\n    }\n}\nfunction msSaveAs(blob, name = 'download', opts) {\n    if (typeof blob === 'string') {\n        if (corsEnabled(blob)) {\n            download(blob, name, opts);\n        }\n        else {\n            const a = document.createElement('a');\n            a.href = blob;\n            a.target = '_blank';\n            setTimeout(function () {\n                click(a);\n            });\n        }\n    }\n    else {\n        // @ts-ignore: works on windows\n        navigator.msSaveOrOpenBlob(bom(blob, opts), name);\n    }\n}\nfunction fileSaverSaveAs(blob, name, opts, popup) {\n    // Open a popup immediately do go around popup blocker\n    // Mostly only available on user interaction and the fileReader is async so...\n    popup = popup || open('', '_blank');\n    if (popup) {\n        popup.document.title = popup.document.body.innerText = 'downloading...';\n    }\n    if (typeof blob === 'string')\n        return download(blob, name, opts);\n    const force = blob.type === 'application/octet-stream';\n    const isSafari = /constructor/i.test(String(_global.HTMLElement)) || 'safari' in _global;\n    const isChromeIOS = /CriOS\\/[\\d]+/.test(navigator.userAgent);\n    if ((isChromeIOS || (force && isSafari) || isMacOSWebView) &&\n        typeof FileReader !== 'undefined') {\n        // Safari doesn't allow downloading of blob URLs\n        const reader = new FileReader();\n        reader.onloadend = function () {\n            let url = reader.result;\n            if (typeof url !== 'string') {\n                popup = null;\n                throw new Error('Wrong reader.result type');\n            }\n            url = isChromeIOS\n                ? url\n                : url.replace(/^data:[^;]*;/, 'data:attachment/file;');\n            if (popup) {\n                popup.location.href = url;\n            }\n            else {\n                location.assign(url);\n            }\n            popup = null; // reverse-tabnabbing #460\n        };\n        reader.readAsDataURL(blob);\n    }\n    else {\n        const url = URL.createObjectURL(blob);\n        if (popup)\n            popup.location.assign(url);\n        else\n            location.href = url;\n        popup = null; // reverse-tabnabbing #460\n        setTimeout(function () {\n            URL.revokeObjectURL(url);\n        }, 4e4); // 40s\n    }\n}\n\n/**\n * Shows a toast or console.log\n *\n * @param message - message to log\n * @param type - different color of the tooltip\n */\nfunction toastMessage(message, type) {\n    const piniaMessage = '🍍 ' + message;\n    if (typeof __VUE_DEVTOOLS_TOAST__ === 'function') {\n        // No longer available :(\n        __VUE_DEVTOOLS_TOAST__(piniaMessage, type);\n    }\n    else if (type === 'error') {\n        console.error(piniaMessage);\n    }\n    else if (type === 'warn') {\n        console.warn(piniaMessage);\n    }\n    else {\n        console.log(piniaMessage);\n    }\n}\nfunction isPinia(o) {\n    return '_a' in o && 'install' in o;\n}\n\n/**\n * This file contain devtools actions, they are not Pinia actions.\n */\n// ---\nfunction checkClipboardAccess() {\n    if (!('clipboard' in navigator)) {\n        toastMessage(`Your browser doesn't support the Clipboard API`, 'error');\n        return true;\n    }\n}\nfunction checkNotFocusedError(error) {\n    if (error instanceof Error &&\n        error.message.toLowerCase().includes('document is not focused')) {\n        toastMessage('You need to activate the \"Emulate a focused page\" setting in the \"Rendering\" panel of devtools.', 'warn');\n        return true;\n    }\n    return false;\n}\nasync function actionGlobalCopyState(pinia) {\n    if (checkClipboardAccess())\n        return;\n    try {\n        await navigator.clipboard.writeText(JSON.stringify(pinia.state.value));\n        toastMessage('Global state copied to clipboard.');\n    }\n    catch (error) {\n        if (checkNotFocusedError(error))\n            return;\n        toastMessage(`Failed to serialize the state. Check the console for more details.`, 'error');\n        console.error(error);\n    }\n}\nasync function actionGlobalPasteState(pinia) {\n    if (checkClipboardAccess())\n        return;\n    try {\n        loadStoresState(pinia, JSON.parse(await navigator.clipboard.readText()));\n        toastMessage('Global state pasted from clipboard.');\n    }\n    catch (error) {\n        if (checkNotFocusedError(error))\n            return;\n        toastMessage(`Failed to deserialize the state from clipboard. Check the console for more details.`, 'error');\n        console.error(error);\n    }\n}\nasync function actionGlobalSaveState(pinia) {\n    try {\n        saveAs(new Blob([JSON.stringify(pinia.state.value)], {\n            type: 'text/plain;charset=utf-8',\n        }), 'pinia-state.json');\n    }\n    catch (error) {\n        toastMessage(`Failed to export the state as JSON. Check the console for more details.`, 'error');\n        console.error(error);\n    }\n}\nlet fileInput;\nfunction getFileOpener() {\n    if (!fileInput) {\n        fileInput = document.createElement('input');\n        fileInput.type = 'file';\n        fileInput.accept = '.json';\n    }\n    function openFile() {\n        return new Promise((resolve, reject) => {\n            fileInput.onchange = async () => {\n                const files = fileInput.files;\n                if (!files)\n                    return resolve(null);\n                const file = files.item(0);\n                if (!file)\n                    return resolve(null);\n                return resolve({ text: await file.text(), file });\n            };\n            // @ts-ignore: TODO: changed from 4.3 to 4.4\n            fileInput.oncancel = () => resolve(null);\n            fileInput.onerror = reject;\n            fileInput.click();\n        });\n    }\n    return openFile;\n}\nasync function actionGlobalOpenStateFile(pinia) {\n    try {\n        const open = getFileOpener();\n        const result = await open();\n        if (!result)\n            return;\n        const { text, file } = result;\n        loadStoresState(pinia, JSON.parse(text));\n        toastMessage(`Global state imported from \"${file.name}\".`);\n    }\n    catch (error) {\n        toastMessage(`Failed to import the state from JSON. Check the console for more details.`, 'error');\n        console.error(error);\n    }\n}\nfunction loadStoresState(pinia, state) {\n    for (const key in state) {\n        const storeState = pinia.state.value[key];\n        // store is already instantiated, patch it\n        if (storeState) {\n            Object.assign(storeState, state[key]);\n        }\n        else {\n            // store is not instantiated, set the initial state\n            pinia.state.value[key] = state[key];\n        }\n    }\n}\n\nfunction formatDisplay(display) {\n    return {\n        _custom: {\n            display,\n        },\n    };\n}\nconst PINIA_ROOT_LABEL = '🍍 Pinia (root)';\nconst PINIA_ROOT_ID = '_root';\nfunction formatStoreForInspectorTree(store) {\n    return isPinia(store)\n        ? {\n            id: PINIA_ROOT_ID,\n            label: PINIA_ROOT_LABEL,\n        }\n        : {\n            id: store.$id,\n            label: store.$id,\n        };\n}\nfunction formatStoreForInspectorState(store) {\n    if (isPinia(store)) {\n        const storeNames = Array.from(store._s.keys());\n        const storeMap = store._s;\n        const state = {\n            state: storeNames.map((storeId) => ({\n                editable: true,\n                key: storeId,\n                value: store.state.value[storeId],\n            })),\n            getters: storeNames\n                .filter((id) => storeMap.get(id)._getters)\n                .map((id) => {\n                const store = storeMap.get(id);\n                return {\n                    editable: false,\n                    key: id,\n                    value: store._getters.reduce((getters, key) => {\n                        getters[key] = store[key];\n                        return getters;\n                    }, {}),\n                };\n            }),\n        };\n        return state;\n    }\n    const state = {\n        state: Object.keys(store.$state).map((key) => ({\n            editable: true,\n            key,\n            value: store.$state[key],\n        })),\n    };\n    // avoid adding empty getters\n    if (store._getters && store._getters.length) {\n        state.getters = store._getters.map((getterName) => ({\n            editable: false,\n            key: getterName,\n            value: store[getterName],\n        }));\n    }\n    if (store._customProperties.size) {\n        state.customProperties = Array.from(store._customProperties).map((key) => ({\n            editable: true,\n            key,\n            value: store[key],\n        }));\n    }\n    return state;\n}\nfunction formatEventData(events) {\n    if (!events)\n        return {};\n    if (Array.isArray(events)) {\n        // TODO: handle add and delete for arrays and objects\n        return events.reduce((data, event) => {\n            data.keys.push(event.key);\n            data.operations.push(event.type);\n            data.oldValue[event.key] = event.oldValue;\n            data.newValue[event.key] = event.newValue;\n            return data;\n        }, {\n            oldValue: {},\n            keys: [],\n            operations: [],\n            newValue: {},\n        });\n    }\n    else {\n        return {\n            operation: formatDisplay(events.type),\n            key: formatDisplay(events.key),\n            oldValue: events.oldValue,\n            newValue: events.newValue,\n        };\n    }\n}\nfunction formatMutationType(type) {\n    switch (type) {\n        case MutationType.direct:\n            return 'mutation';\n        case MutationType.patchFunction:\n            return '$patch';\n        case MutationType.patchObject:\n            return '$patch';\n        default:\n            return 'unknown';\n    }\n}\n\n// timeline can be paused when directly changing the state\nlet isTimelineActive = true;\nconst componentStateTypes = [];\nconst MUTATIONS_LAYER_ID = 'pinia:mutations';\nconst INSPECTOR_ID = 'pinia';\nconst { assign: assign$1 } = Object;\n/**\n * Gets the displayed name of a store in devtools\n *\n * @param id - id of the store\n * @returns a formatted string\n */\nconst getStoreType = (id) => '🍍 ' + id;\n/**\n * Add the pinia plugin without any store. Allows displaying a Pinia plugin tab\n * as soon as it is added to the application.\n *\n * @param app - Vue application\n * @param pinia - pinia instance\n */\nfunction registerPiniaDevtools(app, pinia) {\n    setupDevtoolsPlugin({\n        id: 'dev.esm.pinia',\n        label: 'Pinia 🍍',\n        logo: 'https://pinia.vuejs.org/logo.svg',\n        packageName: 'pinia',\n        homepage: 'https://pinia.vuejs.org',\n        componentStateTypes,\n        app,\n    }, (api) => {\n        if (typeof api.now !== 'function') {\n            toastMessage('You seem to be using an outdated version of Vue Devtools. Are you still using the Beta release instead of the stable one? You can find the links at https://devtools.vuejs.org/guide/installation.html.');\n        }\n        api.addTimelineLayer({\n            id: MUTATIONS_LAYER_ID,\n            label: `Pinia 🍍`,\n            color: 0xe5df88,\n        });\n        api.addInspector({\n            id: INSPECTOR_ID,\n            label: 'Pinia 🍍',\n            icon: 'storage',\n            treeFilterPlaceholder: 'Search stores',\n            actions: [\n                {\n                    icon: 'content_copy',\n                    action: () => {\n                        actionGlobalCopyState(pinia);\n                    },\n                    tooltip: 'Serialize and copy the state',\n                },\n                {\n                    icon: 'content_paste',\n                    action: async () => {\n                        await actionGlobalPasteState(pinia);\n                        api.sendInspectorTree(INSPECTOR_ID);\n                        api.sendInspectorState(INSPECTOR_ID);\n                    },\n                    tooltip: 'Replace the state with the content of your clipboard',\n                },\n                {\n                    icon: 'save',\n                    action: () => {\n                        actionGlobalSaveState(pinia);\n                    },\n                    tooltip: 'Save the state as a JSON file',\n                },\n                {\n                    icon: 'folder_open',\n                    action: async () => {\n                        await actionGlobalOpenStateFile(pinia);\n                        api.sendInspectorTree(INSPECTOR_ID);\n                        api.sendInspectorState(INSPECTOR_ID);\n                    },\n                    tooltip: 'Import the state from a JSON file',\n                },\n            ],\n            nodeActions: [\n                {\n                    icon: 'restore',\n                    tooltip: 'Reset the state (with \"$reset\")',\n                    action: (nodeId) => {\n                        const store = pinia._s.get(nodeId);\n                        if (!store) {\n                            toastMessage(`Cannot reset \"${nodeId}\" store because it wasn't found.`, 'warn');\n                        }\n                        else if (typeof store.$reset !== 'function') {\n                            toastMessage(`Cannot reset \"${nodeId}\" store because it doesn't have a \"$reset\" method implemented.`, 'warn');\n                        }\n                        else {\n                            store.$reset();\n                            toastMessage(`Store \"${nodeId}\" reset.`);\n                        }\n                    },\n                },\n            ],\n        });\n        api.on.inspectComponent((payload, ctx) => {\n            const proxy = (payload.componentInstance &&\n                payload.componentInstance.proxy);\n            if (proxy && proxy._pStores) {\n                const piniaStores = payload.componentInstance.proxy._pStores;\n                Object.values(piniaStores).forEach((store) => {\n                    payload.instanceData.state.push({\n                        type: getStoreType(store.$id),\n                        key: 'state',\n                        editable: true,\n                        value: store._isOptionsAPI\n                            ? {\n                                _custom: {\n                                    value: toRaw(store.$state),\n                                    actions: [\n                                        {\n                                            icon: 'restore',\n                                            tooltip: 'Reset the state of this store',\n                                            action: () => store.$reset(),\n                                        },\n                                    ],\n                                },\n                            }\n                            : // NOTE: workaround to unwrap transferred refs\n                                Object.keys(store.$state).reduce((state, key) => {\n                                    state[key] = store.$state[key];\n                                    return state;\n                                }, {}),\n                    });\n                    if (store._getters && store._getters.length) {\n                        payload.instanceData.state.push({\n                            type: getStoreType(store.$id),\n                            key: 'getters',\n                            editable: false,\n                            value: store._getters.reduce((getters, key) => {\n                                try {\n                                    getters[key] = store[key];\n                                }\n                                catch (error) {\n                                    // @ts-expect-error: we just want to show it in devtools\n                                    getters[key] = error;\n                                }\n                                return getters;\n                            }, {}),\n                        });\n                    }\n                });\n            }\n        });\n        api.on.getInspectorTree((payload) => {\n            if (payload.app === app && payload.inspectorId === INSPECTOR_ID) {\n                let stores = [pinia];\n                stores = stores.concat(Array.from(pinia._s.values()));\n                payload.rootNodes = (payload.filter\n                    ? stores.filter((store) => '$id' in store\n                        ? store.$id\n                            .toLowerCase()\n                            .includes(payload.filter.toLowerCase())\n                        : PINIA_ROOT_LABEL.toLowerCase().includes(payload.filter.toLowerCase()))\n                    : stores).map(formatStoreForInspectorTree);\n            }\n        });\n        api.on.getInspectorState((payload) => {\n            if (payload.app === app && payload.inspectorId === INSPECTOR_ID) {\n                const inspectedStore = payload.nodeId === PINIA_ROOT_ID\n                    ? pinia\n                    : pinia._s.get(payload.nodeId);\n                if (!inspectedStore) {\n                    // this could be the selected store restored for a different project\n                    // so it's better not to say anything here\n                    return;\n                }\n                if (inspectedStore) {\n                    payload.state = formatStoreForInspectorState(inspectedStore);\n                }\n            }\n        });\n        api.on.editInspectorState((payload, ctx) => {\n            if (payload.app === app && payload.inspectorId === INSPECTOR_ID) {\n                const inspectedStore = payload.nodeId === PINIA_ROOT_ID\n                    ? pinia\n                    : pinia._s.get(payload.nodeId);\n                if (!inspectedStore) {\n                    return toastMessage(`store \"${payload.nodeId}\" not found`, 'error');\n                }\n                const { path } = payload;\n                if (!isPinia(inspectedStore)) {\n                    // access only the state\n                    if (path.length !== 1 ||\n                        !inspectedStore._customProperties.has(path[0]) ||\n                        path[0] in inspectedStore.$state) {\n                        path.unshift('$state');\n                    }\n                }\n                else {\n                    // Root access, we can omit the `.value` because the devtools API does it for us\n                    path.unshift('state');\n                }\n                isTimelineActive = false;\n                payload.set(inspectedStore, path, payload.state.value);\n                isTimelineActive = true;\n            }\n        });\n        api.on.editComponentState((payload) => {\n            if (payload.type.startsWith('🍍')) {\n                const storeId = payload.type.replace(/^🍍\\s*/, '');\n                const store = pinia._s.get(storeId);\n                if (!store) {\n                    return toastMessage(`store \"${storeId}\" not found`, 'error');\n                }\n                const { path } = payload;\n                if (path[0] !== 'state') {\n                    return toastMessage(`Invalid path for store \"${storeId}\":\\n${path}\\nOnly state can be modified.`);\n                }\n                // rewrite the first entry to be able to directly set the state as\n                // well as any other path\n                path[0] = '$state';\n                isTimelineActive = false;\n                payload.set(store, path, payload.state.value);\n                isTimelineActive = true;\n            }\n        });\n    });\n}\nfunction addStoreToDevtools(app, store) {\n    if (!componentStateTypes.includes(getStoreType(store.$id))) {\n        componentStateTypes.push(getStoreType(store.$id));\n    }\n    setupDevtoolsPlugin({\n        id: 'dev.esm.pinia',\n        label: 'Pinia 🍍',\n        logo: 'https://pinia.vuejs.org/logo.svg',\n        packageName: 'pinia',\n        homepage: 'https://pinia.vuejs.org',\n        componentStateTypes,\n        app,\n        settings: {\n            logStoreChanges: {\n                label: 'Notify about new/deleted stores',\n                type: 'boolean',\n                defaultValue: true,\n            },\n            // useEmojis: {\n            //   label: 'Use emojis in messages ⚡️',\n            //   type: 'boolean',\n            //   defaultValue: true,\n            // },\n        },\n    }, (api) => {\n        // gracefully handle errors\n        const now = typeof api.now === 'function' ? api.now.bind(api) : Date.now;\n        store.$onAction(({ after, onError, name, args }) => {\n            const groupId = runningActionId++;\n            api.addTimelineEvent({\n                layerId: MUTATIONS_LAYER_ID,\n                event: {\n                    time: now(),\n                    title: '🛫 ' + name,\n                    subtitle: 'start',\n                    data: {\n                        store: formatDisplay(store.$id),\n                        action: formatDisplay(name),\n                        args,\n                    },\n                    groupId,\n                },\n            });\n            after((result) => {\n                activeAction = undefined;\n                api.addTimelineEvent({\n                    layerId: MUTATIONS_LAYER_ID,\n                    event: {\n                        time: now(),\n                        title: '🛬 ' + name,\n                        subtitle: 'end',\n                        data: {\n                            store: formatDisplay(store.$id),\n                            action: formatDisplay(name),\n                            args,\n                            result,\n                        },\n                        groupId,\n                    },\n                });\n            });\n            onError((error) => {\n                activeAction = undefined;\n                api.addTimelineEvent({\n                    layerId: MUTATIONS_LAYER_ID,\n                    event: {\n                        time: now(),\n                        logType: 'error',\n                        title: '💥 ' + name,\n                        subtitle: 'end',\n                        data: {\n                            store: formatDisplay(store.$id),\n                            action: formatDisplay(name),\n                            args,\n                            error,\n                        },\n                        groupId,\n                    },\n                });\n            });\n        }, true);\n        store._customProperties.forEach((name) => {\n            watch(() => unref(store[name]), (newValue, oldValue) => {\n                api.notifyComponentUpdate();\n                api.sendInspectorState(INSPECTOR_ID);\n                if (isTimelineActive) {\n                    api.addTimelineEvent({\n                        layerId: MUTATIONS_LAYER_ID,\n                        event: {\n                            time: now(),\n                            title: 'Change',\n                            subtitle: name,\n                            data: {\n                                newValue,\n                                oldValue,\n                            },\n                            groupId: activeAction,\n                        },\n                    });\n                }\n            }, { deep: true });\n        });\n        store.$subscribe(({ events, type }, state) => {\n            api.notifyComponentUpdate();\n            api.sendInspectorState(INSPECTOR_ID);\n            if (!isTimelineActive)\n                return;\n            // rootStore.state[store.id] = state\n            const eventData = {\n                time: now(),\n                title: formatMutationType(type),\n                data: assign$1({ store: formatDisplay(store.$id) }, formatEventData(events)),\n                groupId: activeAction,\n            };\n            if (type === MutationType.patchFunction) {\n                eventData.subtitle = '⤵️';\n            }\n            else if (type === MutationType.patchObject) {\n                eventData.subtitle = '🧩';\n            }\n            else if (events && !Array.isArray(events)) {\n                eventData.subtitle = events.type;\n            }\n            if (events) {\n                eventData.data['rawEvent(s)'] = {\n                    _custom: {\n                        display: 'DebuggerEvent',\n                        type: 'object',\n                        tooltip: 'raw DebuggerEvent[]',\n                        value: events,\n                    },\n                };\n            }\n            api.addTimelineEvent({\n                layerId: MUTATIONS_LAYER_ID,\n                event: eventData,\n            });\n        }, { detached: true, flush: 'sync' });\n        const hotUpdate = store._hotUpdate;\n        store._hotUpdate = markRaw((newStore) => {\n            hotUpdate(newStore);\n            api.addTimelineEvent({\n                layerId: MUTATIONS_LAYER_ID,\n                event: {\n                    time: now(),\n                    title: '🔥 ' + store.$id,\n                    subtitle: 'HMR update',\n                    data: {\n                        store: formatDisplay(store.$id),\n                        info: formatDisplay(`HMR update`),\n                    },\n                },\n            });\n            // update the devtools too\n            api.notifyComponentUpdate();\n            api.sendInspectorTree(INSPECTOR_ID);\n            api.sendInspectorState(INSPECTOR_ID);\n        });\n        const { $dispose } = store;\n        store.$dispose = () => {\n            $dispose();\n            api.notifyComponentUpdate();\n            api.sendInspectorTree(INSPECTOR_ID);\n            api.sendInspectorState(INSPECTOR_ID);\n            api.getSettings().logStoreChanges &&\n                toastMessage(`Disposed \"${store.$id}\" store 🗑`);\n        };\n        // trigger an update so it can display new registered stores\n        api.notifyComponentUpdate();\n        api.sendInspectorTree(INSPECTOR_ID);\n        api.sendInspectorState(INSPECTOR_ID);\n        api.getSettings().logStoreChanges &&\n            toastMessage(`\"${store.$id}\" store installed 🆕`);\n    });\n}\nlet runningActionId = 0;\nlet activeAction;\n/**\n * Patches a store to enable action grouping in devtools by wrapping the store with a Proxy that is passed as the\n * context of all actions, allowing us to set `runningAction` on each access and effectively associating any state\n * mutation to the action.\n *\n * @param store - store to patch\n * @param actionNames - list of actionst to patch\n */\nfunction patchActionForGrouping(store, actionNames, wrapWithProxy) {\n    // original actions of the store as they are given by pinia. We are going to override them\n    const actions = actionNames.reduce((storeActions, actionName) => {\n        // use toRaw to avoid tracking #541\n        storeActions[actionName] = toRaw(store)[actionName];\n        return storeActions;\n    }, {});\n    for (const actionName in actions) {\n        store[actionName] = function () {\n            // the running action id is incremented in a before action hook\n            const _actionId = runningActionId;\n            const trackedStore = wrapWithProxy\n                ? new Proxy(store, {\n                    get(...args) {\n                        activeAction = _actionId;\n                        return Reflect.get(...args);\n                    },\n                    set(...args) {\n                        activeAction = _actionId;\n                        return Reflect.set(...args);\n                    },\n                })\n                : store;\n            // For Setup Stores we need https://github.com/tc39/proposal-async-context\n            activeAction = _actionId;\n            const retValue = actions[actionName].apply(trackedStore, arguments);\n            // this is safer as async actions in Setup Stores would associate mutations done outside of the action\n            activeAction = undefined;\n            return retValue;\n        };\n    }\n}\n/**\n * pinia.use(devtoolsPlugin)\n */\nfunction devtoolsPlugin({ app, store, options }) {\n    // HMR module\n    if (store.$id.startsWith('__hot:')) {\n        return;\n    }\n    // detect option api vs setup api\n    store._isOptionsAPI = !!options.state;\n    patchActionForGrouping(store, Object.keys(options.actions), store._isOptionsAPI);\n    // Upgrade the HMR to also update the new actions\n    const originalHotUpdate = store._hotUpdate;\n    toRaw(store)._hotUpdate = function (newStore) {\n        originalHotUpdate.apply(this, arguments);\n        patchActionForGrouping(store, Object.keys(newStore._hmrPayload.actions), !!store._isOptionsAPI);\n    };\n    addStoreToDevtools(app, \n    // FIXME: is there a way to allow the assignment from Store<Id, S, G, A> to StoreGeneric?\n    store);\n}\n\n/**\n * Creates a Pinia instance to be used by the application\n */\nfunction createPinia() {\n    const scope = effectScope(true);\n    // NOTE: here we could check the window object for a state and directly set it\n    // if there is anything like it with Vue 3 SSR\n    const state = scope.run(() => ref({}));\n    let _p = [];\n    // plugins added before calling app.use(pinia)\n    let toBeInstalled = [];\n    const pinia = markRaw({\n        install(app) {\n            // this allows calling useStore() outside of a component setup after\n            // installing pinia's plugin\n            setActivePinia(pinia);\n            if (!isVue2) {\n                pinia._a = app;\n                app.provide(piniaSymbol, pinia);\n                app.config.globalProperties.$pinia = pinia;\n                /* istanbul ignore else */\n                if (USE_DEVTOOLS) {\n                    registerPiniaDevtools(app, pinia);\n                }\n                toBeInstalled.forEach((plugin) => _p.push(plugin));\n                toBeInstalled = [];\n            }\n        },\n        use(plugin) {\n            if (!this._a && !isVue2) {\n                toBeInstalled.push(plugin);\n            }\n            else {\n                _p.push(plugin);\n            }\n            return this;\n        },\n        _p,\n        // it's actually undefined here\n        // @ts-expect-error\n        _a: null,\n        _e: scope,\n        _s: new Map(),\n        state,\n    });\n    // pinia devtools rely on dev only features so they cannot be forced unless\n    // the dev build of Vue is used. Avoid old browsers like IE11.\n    if (USE_DEVTOOLS && typeof Proxy !== 'undefined') {\n        pinia.use(devtoolsPlugin);\n    }\n    return pinia;\n}\n\n/**\n * Checks if a function is a `StoreDefinition`.\n *\n * @param fn - object to test\n * @returns true if `fn` is a StoreDefinition\n */\nconst isUseStore = (fn) => {\n    return typeof fn === 'function' && typeof fn.$id === 'string';\n};\n/**\n * Mutates in place `newState` with `oldState` to _hot update_ it. It will\n * remove any key not existing in `newState` and recursively merge plain\n * objects.\n *\n * @param newState - new state object to be patched\n * @param oldState - old state that should be used to patch newState\n * @returns - newState\n */\nfunction patchObject(newState, oldState) {\n    // no need to go through symbols because they cannot be serialized anyway\n    for (const key in oldState) {\n        const subPatch = oldState[key];\n        // skip the whole sub tree\n        if (!(key in newState)) {\n            continue;\n        }\n        const targetValue = newState[key];\n        if (isPlainObject(targetValue) &&\n            isPlainObject(subPatch) &&\n            !isRef(subPatch) &&\n            !isReactive(subPatch)) {\n            newState[key] = patchObject(targetValue, subPatch);\n        }\n        else {\n            // objects are either a bit more complex (e.g. refs) or primitives, so we\n            // just set the whole thing\n            if (isVue2) {\n                set(newState, key, subPatch);\n            }\n            else {\n                newState[key] = subPatch;\n            }\n        }\n    }\n    return newState;\n}\n/**\n * Creates an _accept_ function to pass to `import.meta.hot` in Vite applications.\n *\n * @example\n * ```js\n * const useUser = defineStore(...)\n * if (import.meta.hot) {\n *   import.meta.hot.accept(acceptHMRUpdate(useUser, import.meta.hot))\n * }\n * ```\n *\n * @param initialUseStore - return of the defineStore to hot update\n * @param hot - `import.meta.hot`\n */\nfunction acceptHMRUpdate(initialUseStore, hot) {\n    // strip as much as possible from iife.prod\n    if (!(process.env.NODE_ENV !== 'production')) {\n        return () => { };\n    }\n    return (newModule) => {\n        const pinia = hot.data.pinia || initialUseStore._pinia;\n        if (!pinia) {\n            // this store is still not used\n            return;\n        }\n        // preserve the pinia instance across loads\n        hot.data.pinia = pinia;\n        // console.log('got data', newStore)\n        for (const exportName in newModule) {\n            const useStore = newModule[exportName];\n            // console.log('checking for', exportName)\n            if (isUseStore(useStore) && pinia._s.has(useStore.$id)) {\n                // console.log('Accepting update for', useStore.$id)\n                const id = useStore.$id;\n                if (id !== initialUseStore.$id) {\n                    console.warn(`The id of the store changed from \"${initialUseStore.$id}\" to \"${id}\". Reloading.`);\n                    // return import.meta.hot.invalidate()\n                    return hot.invalidate();\n                }\n                const existingStore = pinia._s.get(id);\n                if (!existingStore) {\n                    console.log(`[Pinia]: skipping hmr because store doesn't exist yet`);\n                    return;\n                }\n                useStore(pinia, existingStore);\n            }\n        }\n    };\n}\n\nconst noop = () => { };\nfunction addSubscription(subscriptions, callback, detached, onCleanup = noop) {\n    subscriptions.push(callback);\n    const removeSubscription = () => {\n        const idx = subscriptions.indexOf(callback);\n        if (idx > -1) {\n            subscriptions.splice(idx, 1);\n            onCleanup();\n        }\n    };\n    if (!detached && getCurrentScope()) {\n        onScopeDispose(removeSubscription);\n    }\n    return removeSubscription;\n}\nfunction triggerSubscriptions(subscriptions, ...args) {\n    subscriptions.slice().forEach((callback) => {\n        callback(...args);\n    });\n}\n\nconst fallbackRunWithContext = (fn) => fn();\nfunction mergeReactiveObjects(target, patchToApply) {\n    // Handle Map instances\n    if (target instanceof Map && patchToApply instanceof Map) {\n        patchToApply.forEach((value, key) => target.set(key, value));\n    }\n    // Handle Set instances\n    if (target instanceof Set && patchToApply instanceof Set) {\n        patchToApply.forEach(target.add, target);\n    }\n    // no need to go through symbols because they cannot be serialized anyway\n    for (const key in patchToApply) {\n        if (!patchToApply.hasOwnProperty(key))\n            continue;\n        const subPatch = patchToApply[key];\n        const targetValue = target[key];\n        if (isPlainObject(targetValue) &&\n            isPlainObject(subPatch) &&\n            target.hasOwnProperty(key) &&\n            !isRef(subPatch) &&\n            !isReactive(subPatch)) {\n            // NOTE: here I wanted to warn about inconsistent types but it's not possible because in setup stores one might\n            // start the value of a property as a certain type e.g. a Map, and then for some reason, during SSR, change that\n            // to `undefined`. When trying to hydrate, we want to override the Map with `undefined`.\n            target[key] = mergeReactiveObjects(targetValue, subPatch);\n        }\n        else {\n            // @ts-expect-error: subPatch is a valid value\n            target[key] = subPatch;\n        }\n    }\n    return target;\n}\nconst skipHydrateSymbol = (process.env.NODE_ENV !== 'production')\n    ? Symbol('pinia:skipHydration')\n    : /* istanbul ignore next */ Symbol();\nconst skipHydrateMap = /*#__PURE__*/ new WeakMap();\n/**\n * Tells Pinia to skip the hydration process of a given object. This is useful in setup stores (only) when you return a\n * stateful object in the store but it isn't really state. e.g. returning a router instance in a setup store.\n *\n * @param obj - target object\n * @returns obj\n */\nfunction skipHydrate(obj) {\n    return isVue2\n        ? // in @vue/composition-api, the refs are sealed so defineProperty doesn't work...\n            /* istanbul ignore next */ skipHydrateMap.set(obj, 1) && obj\n        : Object.defineProperty(obj, skipHydrateSymbol, {});\n}\n/**\n * Returns whether a value should be hydrated\n *\n * @param obj - target variable\n * @returns true if `obj` should be hydrated\n */\nfunction shouldHydrate(obj) {\n    return isVue2\n        ? /* istanbul ignore next */ !skipHydrateMap.has(obj)\n        : !isPlainObject(obj) || !obj.hasOwnProperty(skipHydrateSymbol);\n}\nconst { assign } = Object;\nfunction isComputed(o) {\n    return !!(isRef(o) && o.effect);\n}\nfunction createOptionsStore(id, options, pinia, hot) {\n    const { state, actions, getters } = options;\n    const initialState = pinia.state.value[id];\n    let store;\n    function setup() {\n        if (!initialState && (!(process.env.NODE_ENV !== 'production') || !hot)) {\n            /* istanbul ignore if */\n            if (isVue2) {\n                set(pinia.state.value, id, state ? state() : {});\n            }\n            else {\n                pinia.state.value[id] = state ? state() : {};\n            }\n        }\n        // avoid creating a state in pinia.state.value\n        const localState = (process.env.NODE_ENV !== 'production') && hot\n            ? // use ref() to unwrap refs inside state TODO: check if this is still necessary\n                toRefs(ref(state ? state() : {}).value)\n            : toRefs(pinia.state.value[id]);\n        return assign(localState, actions, Object.keys(getters || {}).reduce((computedGetters, name) => {\n            if ((process.env.NODE_ENV !== 'production') && name in localState) {\n                console.warn(`[🍍]: A getter cannot have the same name as another state property. Rename one of them. Found with \"${name}\" in store \"${id}\".`);\n            }\n            computedGetters[name] = markRaw(computed(() => {\n                setActivePinia(pinia);\n                // it was created just before\n                const store = pinia._s.get(id);\n                // allow cross using stores\n                /* istanbul ignore next */\n                if (isVue2 && !store._r)\n                    return;\n                // @ts-expect-error\n                // return getters![name].call(context, context)\n                // TODO: avoid reading the getter while assigning with a global variable\n                return getters[name].call(store, store);\n            }));\n            return computedGetters;\n        }, {}));\n    }\n    store = createSetupStore(id, setup, options, pinia, hot, true);\n    return store;\n}\nfunction createSetupStore($id, setup, options = {}, pinia, hot, isOptionsStore) {\n    let scope;\n    const optionsForPlugin = assign({ actions: {} }, options);\n    /* istanbul ignore if */\n    if ((process.env.NODE_ENV !== 'production') && !pinia._e.active) {\n        throw new Error('Pinia destroyed');\n    }\n    // watcher options for $subscribe\n    const $subscribeOptions = {\n        deep: true,\n        // flush: 'post',\n    };\n    /* istanbul ignore else */\n    if ((process.env.NODE_ENV !== 'production') && !isVue2) {\n        $subscribeOptions.onTrigger = (event) => {\n            /* istanbul ignore else */\n            if (isListening) {\n                debuggerEvents = event;\n                // avoid triggering this while the store is being built and the state is being set in pinia\n            }\n            else if (isListening == false && !store._hotUpdating) {\n                // let patch send all the events together later\n                /* istanbul ignore else */\n                if (Array.isArray(debuggerEvents)) {\n                    debuggerEvents.push(event);\n                }\n                else {\n                    console.error('🍍 debuggerEvents should be an array. This is most likely an internal Pinia bug.');\n                }\n            }\n        };\n    }\n    // internal state\n    let isListening; // set to true at the end\n    let isSyncListening; // set to true at the end\n    let subscriptions = [];\n    let actionSubscriptions = [];\n    let debuggerEvents;\n    const initialState = pinia.state.value[$id];\n    // avoid setting the state for option stores if it is set\n    // by the setup\n    if (!isOptionsStore && !initialState && (!(process.env.NODE_ENV !== 'production') || !hot)) {\n        /* istanbul ignore if */\n        if (isVue2) {\n            set(pinia.state.value, $id, {});\n        }\n        else {\n            pinia.state.value[$id] = {};\n        }\n    }\n    const hotState = ref({});\n    // avoid triggering too many listeners\n    // https://github.com/vuejs/pinia/issues/1129\n    let activeListener;\n    function $patch(partialStateOrMutator) {\n        let subscriptionMutation;\n        isListening = isSyncListening = false;\n        // reset the debugger events since patches are sync\n        /* istanbul ignore else */\n        if ((process.env.NODE_ENV !== 'production')) {\n            debuggerEvents = [];\n        }\n        if (typeof partialStateOrMutator === 'function') {\n            partialStateOrMutator(pinia.state.value[$id]);\n            subscriptionMutation = {\n                type: MutationType.patchFunction,\n                storeId: $id,\n                events: debuggerEvents,\n            };\n        }\n        else {\n            mergeReactiveObjects(pinia.state.value[$id], partialStateOrMutator);\n            subscriptionMutation = {\n                type: MutationType.patchObject,\n                payload: partialStateOrMutator,\n                storeId: $id,\n                events: debuggerEvents,\n            };\n        }\n        const myListenerId = (activeListener = Symbol());\n        nextTick().then(() => {\n            if (activeListener === myListenerId) {\n                isListening = true;\n            }\n        });\n        isSyncListening = true;\n        // because we paused the watcher, we need to manually call the subscriptions\n        triggerSubscriptions(subscriptions, subscriptionMutation, pinia.state.value[$id]);\n    }\n    const $reset = isOptionsStore\n        ? function $reset() {\n            const { state } = options;\n            const newState = state ? state() : {};\n            // we use a patch to group all changes into one single subscription\n            this.$patch(($state) => {\n                assign($state, newState);\n            });\n        }\n        : /* istanbul ignore next */\n            (process.env.NODE_ENV !== 'production')\n                ? () => {\n                    throw new Error(`🍍: Store \"${$id}\" is built using the setup syntax and does not implement $reset().`);\n                }\n                : noop;\n    function $dispose() {\n        scope.stop();\n        subscriptions = [];\n        actionSubscriptions = [];\n        pinia._s.delete($id);\n    }\n    /**\n     * Wraps an action to handle subscriptions.\n     *\n     * @param name - name of the action\n     * @param action - action to wrap\n     * @returns a wrapped action to handle subscriptions\n     */\n    function wrapAction(name, action) {\n        return function () {\n            setActivePinia(pinia);\n            const args = Array.from(arguments);\n            const afterCallbackList = [];\n            const onErrorCallbackList = [];\n            function after(callback) {\n                afterCallbackList.push(callback);\n            }\n            function onError(callback) {\n                onErrorCallbackList.push(callback);\n            }\n            // @ts-expect-error\n            triggerSubscriptions(actionSubscriptions, {\n                args,\n                name,\n                store,\n                after,\n                onError,\n            });\n            let ret;\n            try {\n                ret = action.apply(this && this.$id === $id ? this : store, args);\n                // handle sync errors\n            }\n            catch (error) {\n                triggerSubscriptions(onErrorCallbackList, error);\n                throw error;\n            }\n            if (ret instanceof Promise) {\n                return ret\n                    .then((value) => {\n                    triggerSubscriptions(afterCallbackList, value);\n                    return value;\n                })\n                    .catch((error) => {\n                    triggerSubscriptions(onErrorCallbackList, error);\n                    return Promise.reject(error);\n                });\n            }\n            // trigger after callbacks\n            triggerSubscriptions(afterCallbackList, ret);\n            return ret;\n        };\n    }\n    const _hmrPayload = /*#__PURE__*/ markRaw({\n        actions: {},\n        getters: {},\n        state: [],\n        hotState,\n    });\n    const partialStore = {\n        _p: pinia,\n        // _s: scope,\n        $id,\n        $onAction: addSubscription.bind(null, actionSubscriptions),\n        $patch,\n        $reset,\n        $subscribe(callback, options = {}) {\n            const removeSubscription = addSubscription(subscriptions, callback, options.detached, () => stopWatcher());\n            const stopWatcher = scope.run(() => watch(() => pinia.state.value[$id], (state) => {\n                if (options.flush === 'sync' ? isSyncListening : isListening) {\n                    callback({\n                        storeId: $id,\n                        type: MutationType.direct,\n                        events: debuggerEvents,\n                    }, state);\n                }\n            }, assign({}, $subscribeOptions, options)));\n            return removeSubscription;\n        },\n        $dispose,\n    };\n    /* istanbul ignore if */\n    if (isVue2) {\n        // start as non ready\n        partialStore._r = false;\n    }\n    const store = reactive((process.env.NODE_ENV !== 'production') || USE_DEVTOOLS\n        ? assign({\n            _hmrPayload,\n            _customProperties: markRaw(new Set()), // devtools custom properties\n        }, partialStore\n        // must be added later\n        // setupStore\n        )\n        : partialStore);\n    // store the partial store now so the setup of stores can instantiate each other before they are finished without\n    // creating infinite loops.\n    pinia._s.set($id, store);\n    const runWithContext = (pinia._a && pinia._a.runWithContext) || fallbackRunWithContext;\n    // TODO: idea create skipSerialize that marks properties as non serializable and they are skipped\n    const setupStore = runWithContext(() => pinia._e.run(() => (scope = effectScope()).run(setup)));\n    // overwrite existing actions to support $onAction\n    for (const key in setupStore) {\n        const prop = setupStore[key];\n        if ((isRef(prop) && !isComputed(prop)) || isReactive(prop)) {\n            // mark it as a piece of state to be serialized\n            if ((process.env.NODE_ENV !== 'production') && hot) {\n                set(hotState.value, key, toRef(setupStore, key));\n                // createOptionStore directly sets the state in pinia.state.value so we\n                // can just skip that\n            }\n            else if (!isOptionsStore) {\n                // in setup stores we must hydrate the state and sync pinia state tree with the refs the user just created\n                if (initialState && shouldHydrate(prop)) {\n                    if (isRef(prop)) {\n                        prop.value = initialState[key];\n                    }\n                    else {\n                        // probably a reactive object, lets recursively assign\n                        // @ts-expect-error: prop is unknown\n                        mergeReactiveObjects(prop, initialState[key]);\n                    }\n                }\n                // transfer the ref to the pinia state to keep everything in sync\n                /* istanbul ignore if */\n                if (isVue2) {\n                    set(pinia.state.value[$id], key, prop);\n                }\n                else {\n                    pinia.state.value[$id][key] = prop;\n                }\n            }\n            /* istanbul ignore else */\n            if ((process.env.NODE_ENV !== 'production')) {\n                _hmrPayload.state.push(key);\n            }\n            // action\n        }\n        else if (typeof prop === 'function') {\n            // @ts-expect-error: we are overriding the function we avoid wrapping if\n            const actionValue = (process.env.NODE_ENV !== 'production') && hot ? prop : wrapAction(key, prop);\n            // this a hot module replacement store because the hotUpdate method needs\n            // to do it with the right context\n            /* istanbul ignore if */\n            if (isVue2) {\n                set(setupStore, key, actionValue);\n            }\n            else {\n                // @ts-expect-error\n                setupStore[key] = actionValue;\n            }\n            /* istanbul ignore else */\n            if ((process.env.NODE_ENV !== 'production')) {\n                _hmrPayload.actions[key] = prop;\n            }\n            // list actions so they can be used in plugins\n            // @ts-expect-error\n            optionsForPlugin.actions[key] = prop;\n        }\n        else if ((process.env.NODE_ENV !== 'production')) {\n            // add getters for devtools\n            if (isComputed(prop)) {\n                _hmrPayload.getters[key] = isOptionsStore\n                    ? // @ts-expect-error\n                        options.getters[key]\n                    : prop;\n                if (IS_CLIENT) {\n                    const getters = setupStore._getters ||\n                        // @ts-expect-error: same\n                        (setupStore._getters = markRaw([]));\n                    getters.push(key);\n                }\n            }\n        }\n    }\n    // add the state, getters, and action properties\n    /* istanbul ignore if */\n    if (isVue2) {\n        Object.keys(setupStore).forEach((key) => {\n            set(store, key, setupStore[key]);\n        });\n    }\n    else {\n        assign(store, setupStore);\n        // allows retrieving reactive objects with `storeToRefs()`. Must be called after assigning to the reactive object.\n        // Make `storeToRefs()` work with `reactive()` #799\n        assign(toRaw(store), setupStore);\n    }\n    // use this instead of a computed with setter to be able to create it anywhere\n    // without linking the computed lifespan to wherever the store is first\n    // created.\n    Object.defineProperty(store, '$state', {\n        get: () => ((process.env.NODE_ENV !== 'production') && hot ? hotState.value : pinia.state.value[$id]),\n        set: (state) => {\n            /* istanbul ignore if */\n            if ((process.env.NODE_ENV !== 'production') && hot) {\n                throw new Error('cannot set hotState');\n            }\n            $patch(($state) => {\n                assign($state, state);\n            });\n        },\n    });\n    // add the hotUpdate before plugins to allow them to override it\n    /* istanbul ignore else */\n    if ((process.env.NODE_ENV !== 'production')) {\n        store._hotUpdate = markRaw((newStore) => {\n            store._hotUpdating = true;\n            newStore._hmrPayload.state.forEach((stateKey) => {\n                if (stateKey in store.$state) {\n                    const newStateTarget = newStore.$state[stateKey];\n                    const oldStateSource = store.$state[stateKey];\n                    if (typeof newStateTarget === 'object' &&\n                        isPlainObject(newStateTarget) &&\n                        isPlainObject(oldStateSource)) {\n                        patchObject(newStateTarget, oldStateSource);\n                    }\n                    else {\n                        // transfer the ref\n                        newStore.$state[stateKey] = oldStateSource;\n                    }\n                }\n                // patch direct access properties to allow store.stateProperty to work as\n                // store.$state.stateProperty\n                set(store, stateKey, toRef(newStore.$state, stateKey));\n            });\n            // remove deleted state properties\n            Object.keys(store.$state).forEach((stateKey) => {\n                if (!(stateKey in newStore.$state)) {\n                    del(store, stateKey);\n                }\n            });\n            // avoid devtools logging this as a mutation\n            isListening = false;\n            isSyncListening = false;\n            pinia.state.value[$id] = toRef(newStore._hmrPayload, 'hotState');\n            isSyncListening = true;\n            nextTick().then(() => {\n                isListening = true;\n            });\n            for (const actionName in newStore._hmrPayload.actions) {\n                const action = newStore[actionName];\n                set(store, actionName, wrapAction(actionName, action));\n            }\n            // TODO: does this work in both setup and option store?\n            for (const getterName in newStore._hmrPayload.getters) {\n                const getter = newStore._hmrPayload.getters[getterName];\n                const getterValue = isOptionsStore\n                    ? // special handling of options api\n                        computed(() => {\n                            setActivePinia(pinia);\n                            return getter.call(store, store);\n                        })\n                    : getter;\n                set(store, getterName, getterValue);\n            }\n            // remove deleted getters\n            Object.keys(store._hmrPayload.getters).forEach((key) => {\n                if (!(key in newStore._hmrPayload.getters)) {\n                    del(store, key);\n                }\n            });\n            // remove old actions\n            Object.keys(store._hmrPayload.actions).forEach((key) => {\n                if (!(key in newStore._hmrPayload.actions)) {\n                    del(store, key);\n                }\n            });\n            // update the values used in devtools and to allow deleting new properties later on\n            store._hmrPayload = newStore._hmrPayload;\n            store._getters = newStore._getters;\n            store._hotUpdating = false;\n        });\n    }\n    if (USE_DEVTOOLS) {\n        const nonEnumerable = {\n            writable: true,\n            configurable: true,\n            // avoid warning on devtools trying to display this property\n            enumerable: false,\n        };\n        ['_p', '_hmrPayload', '_getters', '_customProperties'].forEach((p) => {\n            Object.defineProperty(store, p, assign({ value: store[p] }, nonEnumerable));\n        });\n    }\n    /* istanbul ignore if */\n    if (isVue2) {\n        // mark the store as ready before plugins\n        store._r = true;\n    }\n    // apply all plugins\n    pinia._p.forEach((extender) => {\n        /* istanbul ignore else */\n        if (USE_DEVTOOLS) {\n            const extensions = scope.run(() => extender({\n                store,\n                app: pinia._a,\n                pinia,\n                options: optionsForPlugin,\n            }));\n            Object.keys(extensions || {}).forEach((key) => store._customProperties.add(key));\n            assign(store, extensions);\n        }\n        else {\n            assign(store, scope.run(() => extender({\n                store,\n                app: pinia._a,\n                pinia,\n                options: optionsForPlugin,\n            })));\n        }\n    });\n    if ((process.env.NODE_ENV !== 'production') &&\n        store.$state &&\n        typeof store.$state === 'object' &&\n        typeof store.$state.constructor === 'function' &&\n        !store.$state.constructor.toString().includes('[native code]')) {\n        console.warn(`[🍍]: The \"state\" must be a plain object. It cannot be\\n` +\n            `\\tstate: () => new MyClass()\\n` +\n            `Found in store \"${store.$id}\".`);\n    }\n    // only apply hydrate to option stores with an initial state in pinia\n    if (initialState &&\n        isOptionsStore &&\n        options.hydrate) {\n        options.hydrate(store.$state, initialState);\n    }\n    isListening = true;\n    isSyncListening = true;\n    return store;\n}\nfunction defineStore(\n// TODO: add proper types from above\nidOrOptions, setup, setupOptions) {\n    let id;\n    let options;\n    const isSetupStore = typeof setup === 'function';\n    if (typeof idOrOptions === 'string') {\n        id = idOrOptions;\n        // the option store setup will contain the actual options in this case\n        options = isSetupStore ? setupOptions : setup;\n    }\n    else {\n        options = idOrOptions;\n        id = idOrOptions.id;\n        if ((process.env.NODE_ENV !== 'production') && typeof id !== 'string') {\n            throw new Error(`[🍍]: \"defineStore()\" must be passed a store id as its first argument.`);\n        }\n    }\n    function useStore(pinia, hot) {\n        const hasContext = hasInjectionContext();\n        pinia =\n            // in test mode, ignore the argument provided as we can always retrieve a\n            // pinia instance with getActivePinia()\n            ((process.env.NODE_ENV === 'test') && activePinia && activePinia._testing ? null : pinia) ||\n                (hasContext ? inject(piniaSymbol, null) : null);\n        if (pinia)\n            setActivePinia(pinia);\n        if ((process.env.NODE_ENV !== 'production') && !activePinia) {\n            throw new Error(`[🍍]: \"getActivePinia()\" was called but there was no active Pinia. Are you trying to use a store before calling \"app.use(pinia)\"?\\n` +\n                `See https://pinia.vuejs.org/core-concepts/outside-component-usage.html for help.\\n` +\n                `This will fail in production.`);\n        }\n        pinia = activePinia;\n        if (!pinia._s.has(id)) {\n            // creating the store registers it in `pinia._s`\n            if (isSetupStore) {\n                createSetupStore(id, setup, options, pinia);\n            }\n            else {\n                createOptionsStore(id, options, pinia);\n            }\n            /* istanbul ignore else */\n            if ((process.env.NODE_ENV !== 'production')) {\n                // @ts-expect-error: not the right inferred type\n                useStore._pinia = pinia;\n            }\n        }\n        const store = pinia._s.get(id);\n        if ((process.env.NODE_ENV !== 'production') && hot) {\n            const hotId = '__hot:' + id;\n            const newStore = isSetupStore\n                ? createSetupStore(hotId, setup, options, pinia, true)\n                : createOptionsStore(hotId, assign({}, options), pinia, true);\n            hot._hotUpdate(newStore);\n            // cleanup the state properties and the store from the cache\n            delete pinia.state.value[hotId];\n            pinia._s.delete(hotId);\n        }\n        if ((process.env.NODE_ENV !== 'production') && IS_CLIENT) {\n            const currentInstance = getCurrentInstance();\n            // save stores in instances to access them devtools\n            if (currentInstance &&\n                currentInstance.proxy &&\n                // avoid adding stores that are just built for hot module replacement\n                !hot) {\n                const vm = currentInstance.proxy;\n                const cache = '_pStores' in vm ? vm._pStores : (vm._pStores = {});\n                cache[id] = store;\n            }\n        }\n        // StoreGeneric cannot be casted towards Store\n        return store;\n    }\n    useStore.$id = id;\n    return useStore;\n}\n\nlet mapStoreSuffix = 'Store';\n/**\n * Changes the suffix added by `mapStores()`. Can be set to an empty string.\n * Defaults to `\"Store\"`. Make sure to extend the MapStoresCustomization\n * interface if you are using TypeScript.\n *\n * @param suffix - new suffix\n */\nfunction setMapStoreSuffix(suffix // could be 'Store' but that would be annoying for JS\n) {\n    mapStoreSuffix = suffix;\n}\n/**\n * Allows using stores without the composition API (`setup()`) by generating an\n * object to be spread in the `computed` field of a component. It accepts a list\n * of store definitions.\n *\n * @example\n * ```js\n * export default {\n *   computed: {\n *     // other computed properties\n *     ...mapStores(useUserStore, useCartStore)\n *   },\n *\n *   created() {\n *     this.userStore // store with id \"user\"\n *     this.cartStore // store with id \"cart\"\n *   }\n * }\n * ```\n *\n * @param stores - list of stores to map to an object\n */\nfunction mapStores(...stores) {\n    if ((process.env.NODE_ENV !== 'production') && Array.isArray(stores[0])) {\n        console.warn(`[🍍]: Directly pass all stores to \"mapStores()\" without putting them in an array:\\n` +\n            `Replace\\n` +\n            `\\tmapStores([useAuthStore, useCartStore])\\n` +\n            `with\\n` +\n            `\\tmapStores(useAuthStore, useCartStore)\\n` +\n            `This will fail in production if not fixed.`);\n        stores = stores[0];\n    }\n    return stores.reduce((reduced, useStore) => {\n        // @ts-expect-error: $id is added by defineStore\n        reduced[useStore.$id + mapStoreSuffix] = function () {\n            return useStore(this.$pinia);\n        };\n        return reduced;\n    }, {});\n}\n/**\n * Allows using state and getters from one store without using the composition\n * API (`setup()`) by generating an object to be spread in the `computed` field\n * of a component.\n *\n * @param useStore - store to map from\n * @param keysOrMapper - array or object\n */\nfunction mapState(useStore, keysOrMapper) {\n    return Array.isArray(keysOrMapper)\n        ? keysOrMapper.reduce((reduced, key) => {\n            reduced[key] = function () {\n                return useStore(this.$pinia)[key];\n            };\n            return reduced;\n        }, {})\n        : Object.keys(keysOrMapper).reduce((reduced, key) => {\n            // @ts-expect-error\n            reduced[key] = function () {\n                const store = useStore(this.$pinia);\n                const storeKey = keysOrMapper[key];\n                // for some reason TS is unable to infer the type of storeKey to be a\n                // function\n                return typeof storeKey === 'function'\n                    ? storeKey.call(this, store)\n                    : store[storeKey];\n            };\n            return reduced;\n        }, {});\n}\n/**\n * Alias for `mapState()`. You should use `mapState()` instead.\n * @deprecated use `mapState()` instead.\n */\nconst mapGetters = mapState;\n/**\n * Allows directly using actions from your store without using the composition\n * API (`setup()`) by generating an object to be spread in the `methods` field\n * of a component.\n *\n * @param useStore - store to map from\n * @param keysOrMapper - array or object\n */\nfunction mapActions(useStore, keysOrMapper) {\n    return Array.isArray(keysOrMapper)\n        ? keysOrMapper.reduce((reduced, key) => {\n            // @ts-expect-error\n            reduced[key] = function (...args) {\n                return useStore(this.$pinia)[key](...args);\n            };\n            return reduced;\n        }, {})\n        : Object.keys(keysOrMapper).reduce((reduced, key) => {\n            // @ts-expect-error\n            reduced[key] = function (...args) {\n                return useStore(this.$pinia)[keysOrMapper[key]](...args);\n            };\n            return reduced;\n        }, {});\n}\n/**\n * Allows using state and getters from one store without using the composition\n * API (`setup()`) by generating an object to be spread in the `computed` field\n * of a component.\n *\n * @param useStore - store to map from\n * @param keysOrMapper - array or object\n */\nfunction mapWritableState(useStore, keysOrMapper) {\n    return Array.isArray(keysOrMapper)\n        ? keysOrMapper.reduce((reduced, key) => {\n            // @ts-ignore\n            reduced[key] = {\n                get() {\n                    return useStore(this.$pinia)[key];\n                },\n                set(value) {\n                    // it's easier to type it here as any\n                    return (useStore(this.$pinia)[key] = value);\n                },\n            };\n            return reduced;\n        }, {})\n        : Object.keys(keysOrMapper).reduce((reduced, key) => {\n            // @ts-ignore\n            reduced[key] = {\n                get() {\n                    return useStore(this.$pinia)[keysOrMapper[key]];\n                },\n                set(value) {\n                    // it's easier to type it here as any\n                    return (useStore(this.$pinia)[keysOrMapper[key]] = value);\n                },\n            };\n            return reduced;\n        }, {});\n}\n\n/**\n * Creates an object of references with all the state, getters, and plugin-added\n * state properties of the store. Similar to `toRefs()` but specifically\n * designed for Pinia stores so methods and non reactive properties are\n * completely ignored.\n *\n * @param store - store to extract the refs from\n */\nfunction storeToRefs(store) {\n    // See https://github.com/vuejs/pinia/issues/852\n    // It's easier to just use toRefs() even if it includes more stuff\n    if (isVue2) {\n        // @ts-expect-error: toRefs include methods and others\n        return toRefs(store);\n    }\n    else {\n        store = toRaw(store);\n        const refs = {};\n        for (const key in store) {\n            const value = store[key];\n            if (isRef(value) || isReactive(value)) {\n                // @ts-expect-error: the key is state or getter\n                refs[key] =\n                    // ---\n                    toRef(store, key);\n            }\n        }\n        return refs;\n    }\n}\n\n/**\n * Vue 2 Plugin that must be installed for pinia to work. Note **you don't need\n * this plugin if you are using Nuxt.js**. Use the `buildModule` instead:\n * https://pinia.vuejs.org/ssr/nuxt.html.\n *\n * @example\n * ```js\n * import Vue from 'vue'\n * import { PiniaVuePlugin, createPinia } from 'pinia'\n *\n * Vue.use(PiniaVuePlugin)\n * const pinia = createPinia()\n *\n * new Vue({\n *   el: '#app',\n *   // ...\n *   pinia,\n * })\n * ```\n *\n * @param _Vue - `Vue` imported from 'vue'.\n */\nconst PiniaVuePlugin = function (_Vue) {\n    // Equivalent of\n    // app.config.globalProperties.$pinia = pinia\n    _Vue.mixin({\n        beforeCreate() {\n            const options = this.$options;\n            if (options.pinia) {\n                const pinia = options.pinia;\n                // HACK: taken from provide(): https://github.com/vuejs/composition-api/blob/main/src/apis/inject.ts#L31\n                /* istanbul ignore else */\n                if (!this._provided) {\n                    const provideCache = {};\n                    Object.defineProperty(this, '_provided', {\n                        get: () => provideCache,\n                        set: (v) => Object.assign(provideCache, v),\n                    });\n                }\n                this._provided[piniaSymbol] = pinia;\n                // propagate the pinia instance in an SSR friendly way\n                // avoid adding it to nuxt twice\n                /* istanbul ignore else */\n                if (!this.$pinia) {\n                    this.$pinia = pinia;\n                }\n                pinia._a = this;\n                if (IS_CLIENT) {\n                    // this allows calling useStore() outside of a component setup after\n                    // installing pinia's plugin\n                    setActivePinia(pinia);\n                }\n                if (USE_DEVTOOLS) {\n                    registerPiniaDevtools(pinia._a, pinia);\n                }\n            }\n            else if (!this.$pinia && options.parent && options.parent.$pinia) {\n                this.$pinia = options.parent.$pinia;\n            }\n        },\n        destroyed() {\n            delete this._pStores;\n        },\n    });\n};\n\nexport { MutationType, PiniaVuePlugin, acceptHMRUpdate, createPinia, defineStore, getActivePinia, mapActions, mapGetters, mapState, mapStores, mapWritableState, setActivePinia, setMapStoreSuffix, skipHydrate, storeToRefs };\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".slick-track[data-v-e4caeaf8]{position:relative;top:0;left:0;display:block;transform:translateZ(0)}.slick-track.slick-center[data-v-e4caeaf8]{margin-left:auto;margin-right:auto}.slick-track[data-v-e4caeaf8]:after,.slick-track[data-v-e4caeaf8]:before{display:table;content:\\\"\\\"}.slick-track[data-v-e4caeaf8]:after{clear:both}.slick-loading .slick-track[data-v-e4caeaf8]{visibility:hidden}.slick-slide[data-v-e4caeaf8]{display:none;float:left;height:100%;min-height:1px}[dir=rtl] .slick-slide[data-v-e4caeaf8]{float:right}.slick-slide img[data-v-e4caeaf8]{display:block}.slick-slide.slick-loading img[data-v-e4caeaf8]{display:none}.slick-slide.dragging img[data-v-e4caeaf8]{pointer-events:none}.slick-initialized .slick-slide[data-v-e4caeaf8]{display:block}.slick-loading .slick-slide[data-v-e4caeaf8]{visibility:hidden}.slick-vertical .slick-slide[data-v-e4caeaf8]{display:block;height:auto;border:1px solid transparent}.slick-arrow.slick-hidden[data-v-21137603]{display:none}.slick-slider[data-v-3d1a4f76]{position:relative;display:block;box-sizing:border-box;-webkit-user-select:none;-moz-user-select:none;user-select:none;-webkit-touch-callout:none;-khtml-user-select:none;touch-action:pan-y;-webkit-tap-highlight-color:transparent}.slick-list[data-v-3d1a4f76]{position:relative;display:block;overflow:hidden;margin:0;padding:0;transform:translateZ(0)}.slick-list[data-v-3d1a4f76]:focus{outline:none}.slick-list.dragging[data-v-3d1a4f76]{cursor:pointer;cursor:hand}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","\"use strict\";\nObject.defineProperty(exports, \"__esModule\", { value: true });\nexports.numberProp = void 0;\nconst util_1 = require(\"../util\");\n/**\n * Allows any number (validated at runtime and compile time).\n *\n * Type parameter `T` can be used to restrict the type at compile time with a union type.\n *\n * @param validator - Optional function for further runtime validation; should return `undefined` if valid, or an error string if invalid.\n */\nconst numberProp = (validator) => (0, util_1.propOptionsGenerator)(Number, validator);\nexports.numberProp = numberProp;\n","export * from \"-!../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PrintPositionsManagerHeader.vue?vue&type=style&index=0&id=88e224f4&prod&lang=scss&scoped=true\"","'use strict';\n// TODO: Remove from `core-js@4`\nrequire('../modules/es.set.is-superset-of.v2');\n","'use strict';\nvar call = require('../internals/function-call');\nvar isObject = require('../internals/is-object');\nvar isSymbol = require('../internals/is-symbol');\nvar getMethod = require('../internals/get-method');\nvar ordinaryToPrimitive = require('../internals/ordinary-to-primitive');\nvar wellKnownSymbol = require('../internals/well-known-symbol');\n\nvar $TypeError = TypeError;\nvar TO_PRIMITIVE = wellKnownSymbol('toPrimitive');\n\n// `ToPrimitive` abstract operation\n// https://tc39.es/ecma262/#sec-toprimitive\nmodule.exports = function (input, pref) {\n  if (!isObject(input) || isSymbol(input)) return input;\n  var exoticToPrim = getMethod(input, TO_PRIMITIVE);\n  var result;\n  if (exoticToPrim) {\n    if (pref === undefined) pref = 'default';\n    result = call(exoticToPrim, input, pref);\n    if (!isObject(result) || isSymbol(result)) return result;\n    throw new $TypeError(\"Can't convert object to primitive value\");\n  }\n  if (pref === undefined) pref = 'number';\n  return ordinaryToPrimitive(input, pref);\n};\n","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./ColorManagement.vue?vue&type=style&index=0&id=9e4dde20&prod&lang=scss\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"5f5738bc\", content, shadowRoot)\n};","\"use strict\";\nObject.defineProperty(exports, \"__esModule\", { value: true });\nexports.instanceOfProp = void 0;\nconst util_1 = require(\"../util\");\nconst validators_1 = require(\"../validators\");\n/**\n * Allows instances of the given constructor (validated at runtime and compile time).\n *\n * Type parameter `T` can be used to adjust the inferred type at compile time.\n *\n * @param parent - The constructor to allow.\n * @param validator - Optional function for further runtime validation; should return `undefined` if valid, or an error string if invalid.\n */\nconst instanceOfProp = (parent, validator) => (0, util_1.propOptionsGenerator)(parent, validator, (0, validators_1.isInstanceOf)(parent));\nexports.instanceOfProp = instanceOfProp;\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".bx--dropdown[data-v-7cea795e]{border-bottom:none}.cv-header.bx--header[data-v-7cea795e]{z-index:1;background-color:#fff;height:53px;border:none}.cv-header-name.bx--header__name[data-v-7cea795e]{font-weight:400;font-size:14px;padding:0}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".wrapper[data-v-df60dd3a]{display:flex;flex-direction:column;margin:1rem 0}.wrapper #title[data-v-df60dd3a]{color:#161616;font-weight:700;font-size:14px}.wrapper #dimensions[data-v-df60dd3a]{color:#6f6f6f;font-size:12px}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","export * from \"-!../../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./ClosedNotifications.vue?vue&type=style&index=0&id=6e8e97bd&prod&lang=scss&scoped=true\"","'use strict';\nvar $ = require('../internals/export');\nvar isDisjointFrom = require('../internals/set-is-disjoint-from');\nvar setMethodAcceptSetLike = require('../internals/set-method-accept-set-like');\n\n// `Set.prototype.isDisjointFrom` method\n// https://github.com/tc39/proposal-set-methods\n$({ target: 'Set', proto: true, real: true, forced: !setMethodAcceptSetLike('isDisjointFrom') }, {\n  isDisjointFrom: isDisjointFrom\n});\n","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./SearchArtworks.vue?vue&type=style&index=0&id=798e296b&prod&lang=scss&scoped=true\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"4c56c8d2\", content, shadowRoot)\n};","function _classCallCheck(instance, Constructor) {\n  if (!(instance instanceof Constructor)) {\n    throw new TypeError(\"Cannot call a class as a function\");\n  }\n}\n\nfunction _defineProperties(target, props) {\n  for (var i = 0; i < props.length; i++) {\n    var descriptor = props[i];\n    descriptor.enumerable = descriptor.enumerable || false;\n    descriptor.configurable = true;\n    if (\"value\" in descriptor) descriptor.writable = true;\n    Object.defineProperty(target, descriptor.key, descriptor);\n  }\n}\n\nfunction _createClass(Constructor, protoProps, staticProps) {\n  if (protoProps) _defineProperties(Constructor.prototype, protoProps);\n  if (staticProps) _defineProperties(Constructor, staticProps);\n  return Constructor;\n}\n\nfunction _defineProperty(obj, key, value) {\n  if (key in obj) {\n    Object.defineProperty(obj, key, {\n      value: value,\n      enumerable: true,\n      configurable: true,\n      writable: true\n    });\n  } else {\n    obj[key] = value;\n  }\n\n  return obj;\n}\n\nvar Vector = /*#__PURE__*/function () {\n  /**\r\n   * The x coordinate of this vector.\r\n   * \r\n   * @private\r\n   * \r\n   * @property {number}\r\n   */\n\n  /**\r\n   * The y coordinate of this vector.\r\n   * \r\n   * @private\r\n   * \r\n   * @property {number}\r\n   */\n\n  /**\r\n   * @param {number} [x=0] The x coordinate of this vector.\r\n   * @param {number} [y=0] The y coordinate of this vector.\r\n   */\n  function Vector() {\n    var x = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : 0;\n    var y = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : 0;\n\n    _classCallCheck(this, Vector);\n\n    _defineProperty(this, \"_x\", 0);\n\n    _defineProperty(this, \"_y\", 0);\n\n    this._x = x;\n    this._y = y;\n  }\n  /**\r\n   * Returns the x value of this vector.\r\n   * \r\n   * @returns {number}\r\n   */\n\n\n  _createClass(Vector, [{\n    key: \"x\",\n    get: function get() {\n      return this._x;\n    }\n    /**\r\n     * Returns the y value of this vector.\r\n     * \r\n     * @returns {number}\r\n     */\n    ,\n    set:\n    /**\r\n     * Sets a new x value for this vector.\r\n     * \r\n     * @param {number} x The new x value for this vector.\r\n     */\n    function set(x) {\n      this._x = x;\n    }\n    /**\r\n     * Sets a new y value for this vector.\r\n     * \r\n     * @param {number} y The new y value for this vector.\r\n     */\n\n  }, {\n    key: \"y\",\n    get: function get() {\n      return this._y;\n    },\n    set: function set(y) {\n      this._y = y;\n    }\n    /**\r\n     * Copy the values of another Vector into this one.\r\n     * \r\n     * @param {Vector} other The other Vector.\r\n     * \r\n     * @returns {Vector} Returns this for chaining.\r\n     */\n\n  }, {\n    key: \"copy\",\n    value: function copy(other) {\n      this._x = other.x;\n      this._y = other.y;\n      return this;\n    }\n    /**\r\n     * Create a new Vector with the same coordinates as the one.\r\n     * \r\n     * @returns {Vector} The new cloned Vector.\r\n     */\n\n  }, {\n    key: \"clone\",\n    value: function clone() {\n      return new Vector(this.x, this.y);\n    }\n    /**\r\n     * Change this Vector to be perpendicular to what it was before.\r\n     * \r\n     * Effectively this rotates it 90 degrees in a clockwise direction.\r\n     * \r\n     * @returns {Vector} Returns this for chaining.\r\n     */\n\n  }, {\n    key: \"perp\",\n    value: function perp() {\n      var x = this.x;\n      this._x = this.y;\n      this._y = -x;\n      return this;\n    }\n    /**\r\n     * Rotate this Vector (counter-clockwise) by the specified angle (in radians).\r\n     * \r\n     * @param {number} angle The angle to rotate (in radians).\r\n     * \r\n     * @returns {Vector} Returns this for chaining.\r\n     */\n\n  }, {\n    key: \"rotate\",\n    value: function rotate(angle) {\n      var x = this.x;\n      var y = this.y;\n      this._x = x * Math.cos(angle) - y * Math.sin(angle);\n      this._y = x * Math.sin(angle) + y * Math.cos(angle);\n      return this;\n    }\n    /**\r\n     * Reverse this Vector.\r\n     * \r\n     * @returns {Vector} Returns this for chaining.\r\n     */\n\n  }, {\n    key: \"reverse\",\n    value: function reverse() {\n      this._x = -this.x;\n      this._y = -this.y;\n      return this;\n    }\n    /**\r\n     * Normalize this vector (make it have a length of `1`).\r\n     * \r\n     * @returns {Vector} Returns this for chaining.\r\n     */\n\n  }, {\n    key: \"normalize\",\n    value: function normalize() {\n      var d = this.len();\n\n      if (d > 0) {\n        this._x = this.x / d;\n        this._y = this.y / d;\n      }\n\n      return this;\n    }\n    /**\r\n     * Add another Vector to this one.\r\n     * \r\n     * @param {Vector} other The other Vector.\r\n     * \r\n     * @returns {Vector} Returns this for chaining.\r\n     */\n\n  }, {\n    key: \"add\",\n    value: function add(other) {\n      this._x += other.x;\n      this._y += other.y;\n      return this;\n    }\n    /**\r\n     * Subtract another Vector from this one.\r\n     * \r\n     * @param {Vector} other The other Vector.\r\n     * \r\n     * @returns {Vector} Returns this for chaining.\r\n     */\n\n  }, {\n    key: \"sub\",\n    value: function sub(other) {\n      this._x -= other.x;\n      this._y -= other.y;\n      return this;\n    }\n    /**\r\n     * Scale this Vector.\r\n     * \r\n     * An independent scaling factor can be provided for each axis, or a single scaling factor will scale both `x` and `y`.\r\n     * \r\n     * @param {number} x The scaling factor in the x direction.\r\n     * @param {number} [y] The scaling factor in the y direction.\r\n     * \r\n     * @returns {Vector} Returns this for chaining.\r\n     */\n\n  }, {\n    key: \"scale\",\n    value: function scale(x, y) {\n      this._x *= x;\n      this._y *= typeof y != 'undefined' ? y : x;\n      return this;\n    }\n    /**\r\n     * Project this Vector onto another Vector.\r\n     * \r\n     * @param {Vector} other The Vector to project onto.\r\n     * \r\n     * @returns {Vector} Returns this for chaining.\r\n     */\n\n  }, {\n    key: \"project\",\n    value: function project(other) {\n      var amt = this.dot(other) / other.len2();\n      this._x = amt * other.x;\n      this._y = amt * other.y;\n      return this;\n    }\n    /**\r\n     * Project this Vector onto a Vector of unit length.\r\n     * \r\n     * This is slightly more efficient than `project` when dealing with unit vectors.\r\n     * \r\n     * @param {Vector} other The unit vector to project onto.\r\n     * \r\n     * @returns {Vector} Returns this for chaining.\r\n     */\n\n  }, {\n    key: \"projectN\",\n    value: function projectN(other) {\n      var amt = this.dot(other);\n      this._x = amt * other.x;\n      this._y = amt * other.y;\n      return this;\n    }\n    /**\r\n     * Reflect this Vector on an arbitrary axis.\r\n     * \r\n     * @param {Vector} axis The Vector representing the axis.\r\n     * \r\n     * @returns {Vector} Returns this for chaining.\r\n     */\n\n  }, {\n    key: \"reflect\",\n    value: function reflect(axis) {\n      var x = this.x;\n      var y = this.y;\n      this.project(axis).scale(2);\n      this._x -= x;\n      this._y -= y;\n      return this;\n    }\n    /**\r\n     * Reflect this Vector on an arbitrary axis.\r\n     * \r\n     * This is slightly more efficient than `reflect` when dealing with an axis that is a unit vector.\r\n     * \r\n     * @param {Vector} axis The Vector representing the axis.\r\n     * \r\n     * @returns {Vector} Returns this for chaining.\r\n     */\n\n  }, {\n    key: \"reflectN\",\n    value: function reflectN(axis) {\n      var x = this.x;\n      var y = this.y;\n      this.projectN(axis).scale(2);\n      this._x -= x;\n      this._y -= y;\n      return this;\n    }\n    /**\r\n     * Get the dot product of this Vector and another.\r\n     * \r\n     * @param {Vector} other The Vector to dot this one against.\r\n     * \r\n     * @returns {number} Returns the dot product of this vector.\r\n     */\n\n  }, {\n    key: \"dot\",\n    value: function dot(other) {\n      return this.x * other.x + this.y * other.y;\n    }\n    /**\r\n     * Get the squared length of this Vector.\r\n     * \r\n     * @returns {number} Returns the squared length of this vector.\r\n     */\n\n  }, {\n    key: \"len2\",\n    value: function len2() {\n      return this.dot(this);\n    }\n    /**\r\n     * Get the length of this Vector.\r\n     * \r\n     * @returns {number} Returns the length of this vector.\r\n     */\n\n  }, {\n    key: \"len\",\n    value: function len() {\n      return Math.sqrt(this.len2());\n    }\n  }]);\n\n  return Vector;\n}();\n\n/**\r\n * Represents a *convex* polygon with any number of points (specified in counter-clockwise order).\r\n * \r\n * Note: Do _not_ manually change the `points`, `angle`, or `offset` properties. Use the provided  setters. \r\n * Otherwise the calculated properties will not be updated correctly.\r\n * \r\n * The `pos` property can be changed directly.\r\n */\n\nvar Polygon = /*#__PURE__*/function () {\n  /**\r\n   * A vector representing the origin of this polygon (all other points are relative to this one).\r\n   * \r\n   * @private\r\n   * \r\n   * @property {Vector}\r\n   */\n\n  /**\r\n   * An array of vectors representing the points in the polygon, in counter-clockwise order.\r\n   * \r\n   * @private\r\n   * \r\n   * @property {Array<Vector>}\r\n   */\n\n  /**\r\n   * An Array of the points of this polygon as numbers instead of Vectors.\r\n   * \r\n   * @private\r\n   * \r\n   * @property {Array<number>}\r\n   */\n\n  /**\r\n   * The angle of this polygon.\r\n   * \r\n   * @private\r\n   * \r\n   * @property {number}\r\n   */\n\n  /**\r\n   * The offset of this polygon.\r\n   * \r\n   * @private\r\n   * \r\n   * @property {Vector}\r\n   */\n\n  /**\r\n   * The calculated points of this polygon.\r\n   * \r\n   * @private\r\n   * \r\n   * @property {Array<Vector>}\r\n   */\n\n  /**\r\n   * The edges of this polygon.\r\n   * \r\n   * @private\r\n   * \r\n   * @property {Array<Vector>}\r\n   */\n\n  /**\r\n   * The normals of this polygon.\r\n   * \r\n   * @private\r\n   * \r\n   * @property {Array<Vector>}\r\n   */\n\n  /**\r\n   * Create a new polygon, passing in a position vector, and an array of points (represented by vectors \r\n   * relative to the position vector). If no position is passed in, the position of the polygon will be `(0,0)`.\r\n   * \r\n   * @param {Vector} [position=Vector] A vector representing the origin of the polygon (all other points are relative to this one)\r\n   * @param {Array<Vector>} [points=[]] An array of vectors representing the points in the polygon, in counter-clockwise order.\r\n   */\n  function Polygon() {\n    var position = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : new Vector();\n    var points = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : [];\n\n    _classCallCheck(this, Polygon);\n\n    _defineProperty(this, \"_position\", new Vector());\n\n    _defineProperty(this, \"_points\", []);\n\n    _defineProperty(this, \"_pointsGeneric\", []);\n\n    _defineProperty(this, \"_angle\", 0);\n\n    _defineProperty(this, \"_offset\", new Vector());\n\n    _defineProperty(this, \"_calcPoints\", []);\n\n    _defineProperty(this, \"_edges\", []);\n\n    _defineProperty(this, \"_normals\", []);\n\n    this._position = position;\n    this.setPoints(points);\n  }\n  /**\r\n   * Returns the position of this polygon.\r\n   * \r\n   * @returns {Vector}\r\n   */\n\n\n  _createClass(Polygon, [{\n    key: \"position\",\n    get: function get() {\n      return this._position;\n    }\n    /**\r\n     * **Note:** Not sure if this will be kept or not but for now it's disabled.\r\n     * \r\n     * Sets a new position for this polygon and recalculates the points.\r\n     * \r\n     * @param {Vector} position A Vector representing the new position of this polygon.\r\n     */\n    // set position(position: Vector) {\n    //   const diffX: number = -(this._position.x - position.x);\n    //   const diffY: number = -(this._position.y - position.y);\n    //   const diffPoint: Vector = new Vector(diffX, diffY);\n    //   const points: Array<Vector> = [];\n    //   this._points.map((point: Vector) => {\n    //     const tempX: number = point.x;\n    //     const tempY: number = point.y;\n    //     const tempPoint: Vector = new Vector(tempX, tempY);\n    //     const calculatedPoint: Vector = tempPoint.add(diffPoint);\n    //     points.push(calculatedPoint);\n    //   });\n    //   this.setPoints(points, true);\n    // }\n\n    /**\r\n     * Returns the points of this polygon.\r\n     * \r\n     * @returns {Array<Vector>}\r\n     */\n\n  }, {\n    key: \"points\",\n    get: function get() {\n      return this._points;\n    }\n    /**\r\n     * Returns the points of this polygon as numbers instead of Vectors.\r\n     * \r\n     * @returns {Array<number>}\r\n     */\n\n  }, {\n    key: \"pointsGeneric\",\n    get: function get() {\n      return this._pointsGeneric;\n    }\n    /**\r\n     * Returns the calculated points of this polygon.\r\n     * \r\n     * @returns {Array<Vector>}\r\n     */\n\n  }, {\n    key: \"calcPoints\",\n    get: function get() {\n      return this._calcPoints;\n    }\n    /**\r\n     * Returns the offset of this polygon.\r\n     * \r\n     * @returns {Vector}\r\n     */\n\n  }, {\n    key: \"offset\",\n    get: function get() {\n      return this._offset;\n    }\n    /**\r\n     * Returns the angle of this polygon.\r\n     * \r\n     * @returns {number}\r\n     */\n\n  }, {\n    key: \"angle\",\n    get: function get() {\n      return this._angle;\n    }\n    /**\r\n     * Returns the edges of this polygon.\r\n     * \r\n     * @returns {Array<Vector>}\r\n     */\n\n  }, {\n    key: \"edges\",\n    get: function get() {\n      return this._edges;\n    }\n    /**\r\n     * Returns the normals of this polygon.\r\n     * \r\n     * @returns {Array<Vector>}\r\n     */\n\n  }, {\n    key: \"normals\",\n    get: function get() {\n      return this._normals;\n    }\n    /**\r\n     * Set the points of the polygon. Any consecutive duplicate points will be combined.\r\n     * \r\n     * Note: The points are counter-clockwise *with respect to the coordinate system*. If you directly draw the points on a screen \r\n     * that has the origin at the top-left corner it will _appear_ visually that the points are being specified clockwise. This is \r\n     * just because of the inversion of the Y-axis when being displayed.\r\n     * \r\n     * @param {Array<Vector>} points An array of vectors representing the points in the polygon, in counter-clockwise order.\r\n     *    * \r\n     * @returns {Polygon} Returns this for chaining.\r\n     */\n\n  }, {\n    key: \"setPoints\",\n    value: function setPoints(points) {\n      // Only re-allocate if this is a new polygon or the number of points has changed.\n      var lengthChanged = !this.points || this.points.length !== points.length;\n\n      if (lengthChanged) {\n        var i;\n        var calcPoints = this._calcPoints = [];\n        var edges = this._edges = [];\n        var normals = this._normals = []; // Allocate the vector arrays for the calculated properties\n\n        for (i = 0; i < points.length; i++) {\n          // Remove consecutive duplicate points\n          var p1 = points[i];\n          var p2 = i < points.length - 1 ? points[i + 1] : points[0]; // Push the points to the generic points Array.\n\n          this._pointsGeneric.push(points[i].x, points[i].y);\n\n          if (p1 !== p2 && p1.x === p2.x && p1.y === p2.y) {\n            points.splice(i, 1);\n            i -= 1;\n            continue;\n          }\n\n          calcPoints.push(new Vector());\n          edges.push(new Vector());\n          normals.push(new Vector());\n        }\n      }\n\n      this._points = points;\n\n      this._recalc();\n\n      return this;\n    }\n    /**\r\n     * Set the current rotation angle of the polygon.\r\n     * \r\n     * @param {number} angle The current rotation angle (in radians).\r\n     * \r\n     * @returns {Polygon} Returns this for chaining.\r\n     */\n\n  }, {\n    key: \"setAngle\",\n    value: function setAngle(angle) {\n      this._angle = angle;\n\n      this._recalc();\n\n      return this;\n    }\n    /**\r\n     * Set the current offset to apply to the `points` before applying the `angle` rotation.\r\n     * \r\n     * @param {Vector} offset The new offset Vector.\r\n     * \r\n     * @returns {Polygon} Returns this for chaining.\r\n     */\n\n  }, {\n    key: \"setOffset\",\n    value: function setOffset(offset) {\n      this._offset = offset;\n\n      this._recalc();\n\n      return this;\n    }\n    /**\r\n     * Rotates this Polygon counter-clockwise around the origin of *its local coordinate system* (i.e. `position`).\r\n     * \r\n     * Note: This changes the **original** points (so any `angle` will be applied on top of this rotation).\r\n     * \r\n     * @param {number} angle The angle to rotate (in radians).\r\n     * \r\n     * @returns {Polygon} Returns this for chaining.\r\n     */\n\n  }, {\n    key: \"rotate\",\n    value: function rotate(angle) {\n      var points = this.points;\n      var len = points.length;\n\n      for (var i = 0; i < len; i++) {\n        points[i].rotate(angle);\n      }\n\n      this._recalc();\n\n      return this;\n    }\n    /**\r\n     * Translates the points of this polygon by a specified amount relative to the origin of *its own coordinate system* (i.e. `position`).\r\n     * \r\n     * Note: This changes the **original** points (so any `offset` will be applied on top of this translation)\r\n     * \r\n     * @param {number} x The horizontal amount to translate.\r\n     * @param {number} y The vertical amount to translate.\r\n     * \r\n     * @returns {Polygon} Returns this for chaining.\r\n     */\n\n  }, {\n    key: \"translate\",\n    value: function translate(x, y) {\n      var points = this.points;\n      var len = points.length;\n\n      for (var i = 0; i < len; i++) {\n        points[i].x += x;\n        points[i].y += y;\n      }\n\n      this._recalc();\n\n      return this;\n    }\n    /**\r\n     * Computes the calculated collision Polygon.\r\n     * \r\n     * This applies the `angle` and `offset` to the original points then recalculates the edges and normals of the collision Polygon.\r\n     * \r\n     * @private\r\n     * \r\n     * @returns {Polygon} Returns this for chaining.\r\n     */\n\n  }, {\n    key: \"_recalc\",\n    value: function _recalc() {\n      // Calculated points - this is what is used for underlying collisions and takes into account\n      // the angle/offset set on the polygon.\n      var calcPoints = this.calcPoints; // The edges here are the direction of the `n`th edge of the polygon, relative to\n      // the `n`th point. If you want to draw a given edge from the edge value, you must\n      // first translate to the position of the starting point.\n\n      var edges = this._edges; // The normals here are the direction of the normal for the `n`th edge of the polygon, relative\n      // to the position of the `n`th point. If you want to draw an edge normal, you must first\n      // translate to the position of the starting point.\n\n      var normals = this._normals; // Copy the original points array and apply the offset/angle\n\n      var points = this.points;\n      var offset = this.offset;\n      var angle = this.angle;\n      var len = points.length;\n      var i;\n\n      for (i = 0; i < len; i++) {\n        var calcPoint = calcPoints[i].copy(points[i]);\n        calcPoint.x += offset.x;\n        calcPoint.y += offset.y;\n        if (angle !== 0) calcPoint.rotate(angle);\n      } // Calculate the edges/normals\n\n\n      for (i = 0; i < len; i++) {\n        var p1 = calcPoints[i];\n        var p2 = i < len - 1 ? calcPoints[i + 1] : calcPoints[0];\n        var e = edges[i].copy(p2).sub(p1);\n        normals[i].copy(e).perp().normalize();\n      }\n\n      return this;\n    }\n    /**\r\n     * Compute the axis-aligned bounding box.\r\n     * \r\n     * Any current state (translations/rotations) will be applied before constructing the AABB.\r\n     * \r\n     * Note: Returns a _new_ `Polygon` each time you call this.\r\n     * \r\n     * @returns {Polygon} Returns this for chaining.\r\n     */\n\n  }, {\n    key: \"getAABB\",\n    value: function getAABB() {\n      var points = this.calcPoints;\n      var len = points.length;\n      var xMin = points[0].x;\n      var yMin = points[0].y;\n      var xMax = points[0].x;\n      var yMax = points[0].y;\n\n      for (var i = 1; i < len; i++) {\n        var point = points[i];\n        if (point[\"x\"] < xMin) xMin = point[\"x\"];else if (point[\"x\"] > xMax) xMax = point[\"x\"];\n        if (point[\"y\"] < yMin) yMin = point[\"y\"];else if (point[\"y\"] > yMax) yMax = point[\"y\"];\n      }\n\n      return new Polygon(this._position.clone().add(new Vector(xMin, yMin)), [new Vector(), new Vector(xMax - xMin, 0), new Vector(xMax - xMin, yMax - yMin), new Vector(0, yMax - yMin)]);\n    }\n    /**\r\n     * Compute the centroid (geometric center) of the Polygon.\r\n     * \r\n     * Any current state (translations/rotations) will be applied before computing the centroid.\r\n     * \r\n     * See https://en.wikipedia.org/wiki/Centroid#Centroid_of_a_polygon\r\n     * \r\n     * Note: Returns a _new_ `Vector` each time you call this.\r\n     * \r\n     * @returns {Vector} Returns a Vector that contains the coordinates of the centroid.\r\n     */\n\n  }, {\n    key: \"getCentroid\",\n    value: function getCentroid() {\n      var points = this.calcPoints;\n      var len = points.length;\n      var cx = 0;\n      var cy = 0;\n      var ar = 0;\n\n      for (var i = 0; i < len; i++) {\n        var p1 = points[i];\n        var p2 = i === len - 1 ? points[0] : points[i + 1]; // Loop around if last point\n\n        var a = p1[\"x\"] * p2[\"y\"] - p2[\"x\"] * p1[\"y\"];\n        cx += (p1[\"x\"] + p2[\"x\"]) * a;\n        cy += (p1[\"y\"] + p2[\"y\"]) * a;\n        ar += a;\n      }\n\n      ar = ar * 3; // we want 1 / 6 the area and we currently have 2*area\n\n      cx = cx / ar;\n      cy = cy / ar;\n      return new Vector(cx, cy);\n    }\n  }]);\n\n  return Polygon;\n}();\n\n/**\r\n * A box represents an axis-aligned box with a width and height.\r\n */\n\nvar Box = /*#__PURE__*/function () {\n  /**\r\n   * The position of this box as a Vector.\r\n   * \r\n   * @private\r\n   * \r\n   * @property {Vector}\r\n   */\n\n  /**\r\n   * The width of this box.\r\n   * \r\n   * @private\r\n   * \r\n   * @property {number}\r\n   */\n\n  /**\r\n   * The height of this box.\r\n   * \r\n   * @private\r\n   * \r\n   * @property {number}\r\n   */\n\n  /**\r\n   * Creates a new Box, with the specified position, width, and height.\r\n   * \r\n   * If no position is given, the position will be `(0, 0)`. If no width or height are given, they will be set to `0`.\r\n   * \r\n   * @param {Vector} [position=new Vector()] The position of this box as a Vector.\r\n   * @param {number} [width=0] The width of this box.\r\n   * @param {number} [height=0] The height of this box.\r\n   */\n  function Box() {\n    var position = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : new Vector();\n    var width = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : 0;\n    var height = arguments.length > 2 && arguments[2] !== undefined ? arguments[2] : 0;\n\n    _classCallCheck(this, Box);\n\n    _defineProperty(this, \"_position\", new Vector());\n\n    _defineProperty(this, \"_width\", 0);\n\n    _defineProperty(this, \"_height\", 0);\n\n    this._position = position;\n    this._width = width;\n    this._height = height;\n  }\n  /**\r\n   * Returns a Polygon whose edges are the same as this Box.\r\n   * \r\n   * @returns {Polygon} A new Polygon that represents this Box.\r\n   */\n\n\n  _createClass(Box, [{\n    key: \"toPolygon\",\n    value: function toPolygon() {\n      return new Polygon(new Vector(this._position.x, this._position.y), [new Vector(), new Vector(this._width, 0), new Vector(this._width, this._height), new Vector(0, this._height)]);\n    }\n  }]);\n\n  return Box;\n}();\n\n/**\r\n * Represents a circle with a position and a radius.\r\n * \r\n * Creates a new Circle, optionally passing in a position and/or radius. If no position is given, the Circle will be at `(0,0)`. \r\n * \r\n * If no radius is provided the circle will have a radius of `0`.\r\n */\nvar Circle = /*#__PURE__*/function () {\n  /**\r\n   * A Vector representing the center point of this circle.\r\n   * \r\n   * @private\r\n   * \r\n   * @property {Vector}\r\n   */\n\n  /**\r\n   * The radius of this circle.\r\n   * \r\n   * @private\r\n   * \r\n   * @property {number}\r\n   */\n\n  /**\r\n   * A Vector representing the offset of this circle.\r\n   * \r\n   * @private\r\n   * \r\n   * @property {Vector}\r\n   */\n\n  /**\r\n   * @param {Vector} position A Vector representing the center of this Circle.\r\n   * @param {number} radius The radius of this Circle. \r\n   */\n  function Circle() {\n    var position = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : new Vector();\n    var radius = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : 0;\n\n    _classCallCheck(this, Circle);\n\n    _defineProperty(this, \"_position\", new Vector());\n\n    _defineProperty(this, \"_radius\", 0);\n\n    _defineProperty(this, \"_offset\", new Vector());\n\n    this._position = position;\n    this._radius = radius;\n  }\n  /**\r\n   * Returns the position of this circle.\r\n   * \r\n   * @returns {Vector}\r\n   */\n\n\n  _createClass(Circle, [{\n    key: \"position\",\n    get: function get() {\n      return this._position;\n    }\n    /**\r\n     * Returns the radius of this circle.\r\n     * \r\n     * @returns {number}\r\n     */\n\n  }, {\n    key: \"radius\",\n    get: function get() {\n      return this._radius;\n    }\n    /**\r\n     * Returns the offset of this circle.\r\n     * \r\n     * @returns {Vector}\r\n     */\n\n  }, {\n    key: \"offset\",\n    get: function get() {\n      return this._offset;\n    }\n    /**\r\n     * Set a new offset for this circle.\r\n     * \r\n     * @param {Vector} offset The new offset for this circle.\r\n     */\n    ,\n    set: function set(offset) {\n      this._offset = offset;\n    }\n    /**\r\n     * Translate the center of the cirlc.e\r\n     * \r\n     * @param {Vector} position A Vector representing the new center of this circle.\r\n     */\n\n  }, {\n    key: \"translate\",\n    value: function translate(x, y) {\n      this._position.x += x;\n      this._position.y += y;\n    }\n    /**\r\n     * Compute the axis-aligned bounding box (AABB) of this Circle.\r\n     * \r\n     * Note: Returns a new `Polygon` each time this is called.\r\n     * \r\n     * @returns {Polygon} Returns the AABB of this circle.\r\n     */\n\n  }, {\n    key: \"getAABB\",\n    value: function getAABB() {\n      var corner = this._position.clone().add(this._offset).sub(new Vector(this._radius, this._radius));\n\n      return new Box(corner, this._radius * 2, this._radius * 2).toPolygon();\n    }\n    /**\r\n     * Set the current offset to apply to the radius.\r\n     * \r\n     * @param {Vector} offset The new offset Vector.\r\n     * \r\n     * @returns {Circle} Returns this for chaining.\r\n     */\n\n  }, {\n    key: \"setOffset\",\n    value: function setOffset(offset) {\n      this._offset = offset;\n      return this;\n    }\n  }]);\n\n  return Circle;\n}();\n\n/**\r\n * An object representing the result of an intersection containing:\r\n * - The two objects participating in the intersection\r\n * - The vector representing the minimum change necessary to extract the first object from the second one (as well as a unit vector in that direction and the magnitude of the overlap)\r\n * - Whether the first object is entirely inside the second, and vice versa.\r\n */\nvar CollisionDetails = /*#__PURE__*/function () {\n  /**\r\n   * The first collision object.\r\n   * \r\n   * @property {Circle|Polygon}\r\n   */\n\n  /**\r\n   * The second collision object.\r\n   * \r\n   * @property {Circle|Polygon}\r\n   */\n\n  /**\r\n   * A unit vector representing the direction and magnitude of the overlap.\r\n   * \r\n   * @property {Vector}\r\n   */\n\n  /**\r\n   * A vector representing the minimum change necessary to extract the first object from the second one.\r\n   * \r\n   * @property {Vector}\r\n   */\n\n  /**\r\n   * The amount that is overlapping.\r\n   * \r\n   * @property {number}\r\n   */\n\n  /**\r\n   * Returns true if the first collision object is completely in the second collision object.\r\n   * \r\n   * @property {boolean}\r\n   */\n\n  /**\r\n   * Returns true if the second collision object is completely in the first collision object.\r\n   * \r\n   * @property {boolean}\r\n   */\n  function CollisionDetails() {\n    _classCallCheck(this, CollisionDetails);\n\n    _defineProperty(this, \"a\", void 0);\n\n    _defineProperty(this, \"b\", void 0);\n\n    _defineProperty(this, \"overlapN\", new Vector());\n\n    _defineProperty(this, \"overlapV\", new Vector());\n\n    _defineProperty(this, \"overlap\", Number.MAX_VALUE);\n\n    _defineProperty(this, \"aInB\", true);\n\n    _defineProperty(this, \"bInA\", true);\n\n    this.clear();\n  }\n  /**\r\n   * Set some values of the response back to their defaults.\r\n   * \r\n   * Call this between tests if you are going to reuse a single CollisionDetails object for multiple intersection tests (recommended as it will avoid allcating extra memory)\r\n   * \r\n   * @returns {CollisionDetails} Returns this for chaining.\r\n   */\n\n\n  _createClass(CollisionDetails, [{\n    key: \"clear\",\n    value: function clear() {\n      this.aInB = true;\n      this.bInA = true;\n      this.overlap = Number.MAX_VALUE;\n      return this;\n    }\n  }]);\n\n  return CollisionDetails;\n}();\n\nvar Collider2D = /*#__PURE__*/function () {\n  /**\r\n   * A pool of `Vector objects that are used in calculations to avoid allocating memory.\r\n   * \r\n   * @private\r\n   * \r\n   * @property {Array<Vector>}\r\n   */\n\n  /**\r\n   * A pool of arrays of numbers used in calculations to avoid allocating memory.\r\n   * \r\n   * @private\r\n   * \r\n   * @property {Array<Array<number>>}\r\n   */\n\n  /**\r\n   * Temporary collision details object used for hit detection.\r\n   * \r\n   * @private\r\n   * \r\n   * @property {CollisionDetails}\r\n   */\n\n  /**\r\n   * Tiny \"point\" Polygon used for Polygon hit detection.\r\n   * \r\n   * @private\r\n   * \r\n   * @property {Polygon}\r\n   */\n\n  /**\r\n   * Constant used for left voronoi region.\r\n   * \r\n   * @private\r\n   * \r\n   * @property {number}\r\n   */\n\n  /**\r\n   * Constant used for middle voronoi region.\r\n   * \r\n   * @private\r\n   * \r\n   * @property {number}\r\n   */\n\n  /**\r\n   * Constant used for right voronoi region.\r\n   * \r\n   * @private\r\n   * \r\n   * @property {number}\r\n   */\n  function Collider2D() {\n    _classCallCheck(this, Collider2D);\n\n    _defineProperty(this, \"_T_VECTORS\", []);\n\n    _defineProperty(this, \"_T_ARRAYS\", []);\n\n    _defineProperty(this, \"_T_COLLISION_DETAILS\", new CollisionDetails());\n\n    _defineProperty(this, \"_TEST_POINT\", new Box(new Vector(), 0.000001, 0.000001).toPolygon());\n\n    _defineProperty(this, \"_LEFT_VORONOI_REGION\", -1);\n\n    _defineProperty(this, \"_MIDDLE_VORONOI_REGION\", 0);\n\n    _defineProperty(this, \"_RIGHT_VORONOI_REGION\", 1);\n\n    // Populate T_VECTORS\n    for (var i = 0; i < 10; i++) {\n      this._T_VECTORS.push(new Vector());\n    } // Populate T_ARRAYS\n\n\n    for (var _i = 0; _i < 5; _i++) {\n      this._T_ARRAYS.push([]);\n    }\n  }\n  /**\r\n   * Check if a point is inside a circle.\r\n   * \r\n   * @param {Vector} point The point to test.\r\n   * @param {Circle} circle The circle to test.\r\n   * \r\n   * @returns {boolean} Returns true if the point is inside the circle or false otherwise.\r\n   */\n\n\n  _createClass(Collider2D, [{\n    key: \"pointInCircle\",\n    value: function pointInCircle(point, circle) {\n      var differenceV = this._T_VECTORS.pop().copy(point).sub(circle.position).sub(circle.offset);\n\n      var radiusSq = circle.radius * circle.radius;\n      var distanceSq = differenceV.len2();\n\n      this._T_VECTORS.push(differenceV); // If the distance between is smaller than the radius then the point is inside the circle.\n\n\n      return distanceSq <= radiusSq;\n    }\n    /**\r\n     * Check if a point is inside a convex polygon.\r\n     * \r\n     * @param {Vector} point The point to test.\r\n     * @param {Polygon} polygon The polygon to test.\r\n     * \r\n     * @returns {boolean} Returns true if the point is inside the polygon or false otherwise.\r\n     */\n\n  }, {\n    key: \"pointInPolygon\",\n    value: function pointInPolygon(point, polygon) {\n      this._TEST_POINT.position.copy(point);\n\n      this._T_COLLISION_DETAILS.clear();\n\n      var result = this.testPolygonPolygon(this._TEST_POINT, polygon, true);\n      if (result) result = this._T_COLLISION_DETAILS.aInB;\n      return result;\n    }\n    /**\r\n     * Check if two circles collide.\r\n     * \r\n     * @param {Circle} a The first circle.\r\n     * @param {Circle} b The second circle.\r\n     * @param {boolean} [details=false] If set to true and there is a collision, an object highlighting details about the collision will be returned instead of just returning true.\r\n     * \r\n     * @returns {boolean} Returns true if the circles intersect or false otherwise.\r\n     */\n\n  }, {\n    key: \"testCircleCircle\",\n    value: function testCircleCircle(a, b) {\n      var details = arguments.length > 2 && arguments[2] !== undefined ? arguments[2] : false;\n\n      // Check if the distance between the centers of the two circles is greater than their combined radius.\n      var differenceV = this._T_VECTORS.pop().copy(b.position).add(b.offset).sub(a.position).sub(a.offset);\n\n      var totalRadius = a.radius + b.radius;\n      var totalRadiusSq = totalRadius * totalRadius;\n      var distanceSq = differenceV.len2(); // If the distance is bigger than the combined radius, they don't intersect.\n\n      if (distanceSq > totalRadiusSq) {\n        this._T_VECTORS.push(differenceV);\n\n        return false;\n      }\n\n      if (details) {\n        this._T_COLLISION_DETAILS.clear();\n\n        var dist = Math.sqrt(distanceSq);\n        this._T_COLLISION_DETAILS.a = a;\n        this._T_COLLISION_DETAILS.b = b;\n        this._T_COLLISION_DETAILS.overlap = totalRadius - dist;\n\n        this._T_COLLISION_DETAILS.overlapN.copy(differenceV.normalize());\n\n        this._T_COLLISION_DETAILS.overlapV.copy(differenceV).scale(this._T_COLLISION_DETAILS.overlap);\n\n        this._T_COLLISION_DETAILS.aInB = a.radius <= b.radius && dist <= b.radius - a.radius;\n        this._T_COLLISION_DETAILS.bInA = b.radius <= a.radius && dist <= a.radius - b.radius;\n        return this._T_COLLISION_DETAILS;\n      }\n\n      this._T_VECTORS.push(differenceV);\n\n      return true;\n    }\n    /**\r\n     * Checks whether polygons collide.\r\n     * \r\n     * @param {Polygon} a The first polygon.\r\n     * @param {Polygon} b The second polygon.\r\n     * @param {boolean} [details=false] If set to true and there is a collision, an object highlighting details about the collision will be returned instead of just returning true.\r\n     * \r\n     * @returns {boolean} Returns true if they intersect or false otherwise.\r\n     */\n\n  }, {\n    key: \"testPolygonPolygon\",\n    value: function testPolygonPolygon(a, b) {\n      var details = arguments.length > 2 && arguments[2] !== undefined ? arguments[2] : false;\n\n      this._T_COLLISION_DETAILS.clear();\n\n      var aPoints = a.calcPoints;\n      var aLen = aPoints.length;\n      var bPoints = b.calcPoints;\n      var bLen = bPoints.length; // If any of the edge normals of A is a separating axis, no intersection.\n\n      for (var i = 0; i < aLen; i++) {\n        if (this._isSeparatingAxis(a.position, b.position, aPoints, bPoints, a.normals[i], this._T_COLLISION_DETAILS)) {\n          return false;\n        }\n      } // If any of the edge normals of B is a separating axis, no intersection.\n\n\n      for (var _i2 = 0; _i2 < bLen; _i2++) {\n        if (this._isSeparatingAxis(a.position, b.position, aPoints, bPoints, b.normals[_i2], this._T_COLLISION_DETAILS)) {\n          return false;\n        }\n      } // Since none of the edge normals of A or B are a separating axis, there is an intersection\n      // and we've already calculated the smallest overlap (in isSeparatingAxis). \n      // Calculate the final overlap vector.\n\n\n      if (details) {\n        this._T_COLLISION_DETAILS.a = a;\n        this._T_COLLISION_DETAILS.b = b;\n\n        this._T_COLLISION_DETAILS.overlapV.copy(this._T_COLLISION_DETAILS.overlapN).scale(this._T_COLLISION_DETAILS.overlap);\n\n        return this._T_COLLISION_DETAILS;\n      }\n\n      return true;\n    }\n    /**\r\n     * Check if a polygon and a circle collide.\r\n     * \r\n     * @param {Polygon} polygon The polygon.\r\n     * @param {Circle} circle The circle.\r\n     * @param {boolean} [details=false] If set to true and there is a collision, an object highlighting details about the collision will be returned instead of just returning true.\r\n     * \r\n     * @returns {boolean} Returns true if they intersect or false otherwise.\r\n     */\n\n  }, {\n    key: \"testPolygonCircle\",\n    value: function testPolygonCircle(polygon, circle) {\n      var details = arguments.length > 2 && arguments[2] !== undefined ? arguments[2] : false;\n\n      this._T_COLLISION_DETAILS.clear(); // Get the position of the circle relative to the polygon.\n\n\n      var circlePos = this._T_VECTORS.pop().copy(circle.position).add(circle.offset).sub(polygon.position);\n\n      var radius = circle.radius;\n      var radius2 = radius * radius;\n      var points = polygon.calcPoints;\n      var len = points.length;\n\n      var edge = this._T_VECTORS.pop();\n\n      var point = this._T_VECTORS.pop(); // For each edge in the polygon:\n\n\n      for (var i = 0; i < len; i++) {\n        var next = i === len - 1 ? 0 : i + 1;\n        var prev = i === 0 ? len - 1 : i - 1;\n        var overlap = 0;\n        var overlapN = null; // Get the edge.\n\n        edge.copy(polygon.edges[i]); // Calculate the center of the circle relative to the starting point of the edge.\n\n        point.copy(circlePos).sub(points[i]); // If the distance between the center of the circle and the point is bigger than the radius, the polygon is definitely not fully in the circle.\n\n        if (details && point.len2() > radius2) this._T_COLLISION_DETAILS.aInB = false; // Calculate which Voronoi region the center of the circle is in.\n\n        var region = this._voronoiRegion(edge, point); // If it's the left region:\n\n\n        if (region === this._LEFT_VORONOI_REGION) {\n          // We need to make sure we're in the RIGHT_VORONOI_REGION of the previous edge.\n          edge.copy(polygon.edges[prev]); // Calculate the center of the circle relative the starting point of the previous edge\n\n          var point2 = this._T_VECTORS.pop().copy(circlePos).sub(points[prev]);\n\n          region = this._voronoiRegion(edge, point2);\n\n          if (region === this._RIGHT_VORONOI_REGION) {\n            // It's in the region we want.  Check if the circle intersects the point.\n            var dist = point.len();\n\n            if (dist > radius) {\n              // No intersection\n              this._T_VECTORS.push(circlePos);\n\n              this._T_VECTORS.push(edge);\n\n              this._T_VECTORS.push(point);\n\n              this._T_VECTORS.push(point2);\n\n              return false;\n            } else if (details) {\n              // It intersects, calculate the overlap.\n              this._T_COLLISION_DETAILS.bInA = false;\n              overlapN = point.normalize();\n              overlap = radius - dist;\n            }\n          }\n\n          this._T_VECTORS.push(point2); // If it's the right region:\n\n        } else if (region === this._RIGHT_VORONOI_REGION) {\n          // We need to make sure we're in the left region on the next edge\n          edge.copy(polygon.edges[next]); // Calculate the center of the circle relative to the starting point of the next edge.\n\n          point.copy(circlePos).sub(points[next]);\n          region = this._voronoiRegion(edge, point);\n\n          if (region === this._LEFT_VORONOI_REGION) {\n            // It's in the region we want.  Check if the circle intersects the point.\n            var _dist = point.len();\n\n            if (_dist > radius) {\n              // No intersection\n              this._T_VECTORS.push(circlePos);\n\n              this._T_VECTORS.push(edge);\n\n              this._T_VECTORS.push(point);\n\n              return false;\n            } else if (details) {\n              // It intersects, calculate the overlap.\n              this._T_COLLISION_DETAILS.bInA = false;\n              overlapN = point.normalize();\n              overlap = radius - _dist;\n            }\n          } // Otherwise, it's the middle region:\n\n        } else {\n          // Need to check if the circle is intersecting the edge, change the edge into its \"edge normal\".\n          var normal = edge.perp().normalize(); // Find the perpendicular distance between the center of the circle and the edge.\n\n          var _dist2 = point.dot(normal);\n\n          var distAbs = Math.abs(_dist2); // If the circle is on the outside of the edge, there is no intersection.\n\n          if (_dist2 > 0 && distAbs > radius) {\n            // No intersection\n            this._T_VECTORS.push(circlePos);\n\n            this._T_VECTORS.push(normal);\n\n            this._T_VECTORS.push(point);\n\n            return false;\n          } else if (details) {\n            // It intersects, calculate the overlap.\n            overlapN = normal;\n            overlap = radius - _dist2; // If the center of the circle is on the outside of the edge, or part of the circle is on the outside, the circle is not fully inside the polygon.\n\n            if (_dist2 >= 0 || overlap < 2 * radius) this._T_COLLISION_DETAILS.bInA = false;\n          }\n        } // If this is the smallest overlap we've seen, keep it.\n        // (overlapN may be null if the circle was in the wrong Voronoi region).\n\n\n        if (overlapN && details && Math.abs(overlap) < Math.abs(this._T_COLLISION_DETAILS.overlap)) {\n          this._T_COLLISION_DETAILS.overlap = overlap;\n\n          this._T_COLLISION_DETAILS.overlapN.copy(overlapN);\n        }\n      } // Calculate the final overlap vector - based on the smallest overlap.\n\n\n      if (details) {\n        this._T_COLLISION_DETAILS.a = polygon;\n        this._T_COLLISION_DETAILS.b = circle;\n\n        this._T_COLLISION_DETAILS.overlapV.copy(this._T_COLLISION_DETAILS.overlapN).scale(this._T_COLLISION_DETAILS.overlap);\n      }\n\n      this._T_VECTORS.push(circlePos);\n\n      this._T_VECTORS.push(edge);\n\n      this._T_VECTORS.push(point);\n\n      if (details) return this._T_COLLISION_DETAILS;\n      return true;\n    }\n    /**\r\n     * Check if a circle and a polygon collide.\r\n     * \r\n     * **NOTE:** This is slightly less efficient than polygonCircle as it just runs polygonCircle and reverses everything\r\n     * at the end.\r\n     * \r\n     * @param {Circle} circle The circle.\r\n     * @param {Polygon} polygon The polygon.\r\n     * @param {boolean} [details=false] If set to true and there is a collision, an object highlighting details about the collision will be returned instead of just returning true.\r\n     * \r\n     * @returns {boolean} Returns true if they intersect or false otherwise.\r\n     */\n\n  }, {\n    key: \"testCirclePolygon\",\n    value: function testCirclePolygon(circle, polygon) {\n      var details = arguments.length > 2 && arguments[2] !== undefined ? arguments[2] : false;\n      // Test the polygon against the circle.\n      var result = this.testPolygonCircle(polygon, circle, details);\n\n      if (result && details) {\n        var collisionDetails = result; // Swap A and B in the collision details.\n\n        var a = collisionDetails.a;\n        var aInB = collisionDetails.aInB;\n        collisionDetails.overlapN.reverse();\n        collisionDetails.overlapV.reverse();\n        collisionDetails.a = collisionDetails.b;\n        collisionDetails.b = a;\n        collisionDetails.aInB = collisionDetails.bInA;\n        collisionDetails.bInA = aInB;\n      }\n\n      return result;\n    }\n    /**\r\n     * Check whether two convex polygons are separated by the specified axis (must be a unit vector).\r\n     * \r\n     * @private\r\n     * \r\n     * @param {Vector} aPos The position of the first polygon.\r\n     * @param {Vector} bPos The position of the second polygon.\r\n     * @param {Array<Vector>} aPoints The points in the first polygon.\r\n     * @param {Array<Vector>} bPoints The points in the second polygon.\r\n     * @param {Vector} axis The axis (unit sized) to test against.  The points of both polygons will be projected onto this axis.\r\n     * @param {CollisionDetails} collisionDetails A CollisionDetails object (optional) which will be populated if the axis is not a separating axis.\r\n     * \r\n     * @return {boolean} true if it is a separating axis, false otherwise.  If false, and a CollisionDetails is passed in, information about how much overlap and the direction of the overlap will be populated.\r\n     */\n\n  }, {\n    key: \"_isSeparatingAxis\",\n    value: function _isSeparatingAxis(aPos, bPos, aPoints, bPoints, axis, collisionDetails) {\n      var rangeA = this._T_ARRAYS.pop();\n\n      var rangeB = this._T_ARRAYS.pop(); // The magnitude of the offset between the two polygons\n\n\n      var offsetV = this._T_VECTORS.pop().copy(bPos).sub(aPos);\n\n      var projectedOffset = offsetV.dot(axis); // Project the polygons onto the axis.\n\n      this._flattenPointsOn(aPoints, axis, rangeA);\n\n      this._flattenPointsOn(bPoints, axis, rangeB); // Move B's range to its position relative to A.\n\n\n      rangeB[0] += projectedOffset;\n      rangeB[1] += projectedOffset; // Check if there is a gap. If there is, this is a separating axis and we can stop\n\n      if (rangeA[0] > rangeB[1] || rangeB[0] > rangeA[1]) {\n        this._T_VECTORS.push(offsetV);\n\n        this._T_ARRAYS.push(rangeA);\n\n        this._T_ARRAYS.push(rangeB);\n\n        return true;\n      } // This is not a separating axis. If we're calculating collision details, calculate the overlap.\n\n\n      if (collisionDetails) {\n        var overlap = 0; // A starts further left than B\n\n        if (rangeA[0] < rangeB[0]) {\n          collisionDetails.aInB = false; // A ends before B does. We have to pull A out of B\n\n          if (rangeA[1] < rangeB[1]) {\n            overlap = rangeA[1] - rangeB[0];\n            collisionDetails.bInA = false; // B is fully inside A.  Pick the shortest way out.\n          } else {\n            var option1 = rangeA[1] - rangeB[0];\n            var option2 = rangeB[1] - rangeA[0];\n            overlap = option1 < option2 ? option1 : -option2;\n          } // B starts further left than A\n\n        } else {\n          collisionDetails.bInA = false; // B ends before A ends. We have to push A out of B\n\n          if (rangeA[1] > rangeB[1]) {\n            overlap = rangeA[0] - rangeB[1];\n            collisionDetails.aInB = false; // A is fully inside B.  Pick the shortest way out.\n          } else {\n            var _option = rangeA[1] - rangeB[0];\n\n            var _option2 = rangeB[1] - rangeA[0];\n\n            overlap = _option < _option2 ? _option : -_option2;\n          }\n        } // If this is the smallest amount of overlap we've seen so far, set it as the minimum overlap.\n\n\n        var absOverlap = Math.abs(overlap);\n\n        if (absOverlap < collisionDetails.overlap) {\n          collisionDetails.overlap = absOverlap;\n          collisionDetails.overlapN.copy(axis);\n          if (overlap < 0) collisionDetails.overlapN.reverse();\n        }\n      }\n\n      this._T_VECTORS.push(offsetV);\n\n      this._T_ARRAYS.push(rangeA);\n\n      this._T_ARRAYS.push(rangeB);\n\n      return false;\n    }\n    /**\r\n     * Flattens the specified array of points onto a unit vector axis resulting in a one dimensionsl\r\n     * range of the minimum and maximum value on that axis.\r\n     * \r\n     * @private\r\n     * \r\n     * @param {Array<Vector>} points The points to flatten.\r\n     * @param {Vector} normal The unit vector axis to flatten on.\r\n     * @param {Array<number>} result An array. After calling this function, result[0] will be the minimum value, result[1] will be the maximum value.\r\n     */\n\n  }, {\n    key: \"_flattenPointsOn\",\n    value: function _flattenPointsOn(points, normal, result) {\n      var min = Number.MAX_VALUE;\n      var max = -Number.MAX_VALUE;\n      var len = points.length;\n\n      for (var i = 0; i < len; i++) {\n        // The magnitude of the projection of the point onto the normal.\n        var dot = points[i].dot(normal);\n        if (dot < min) min = dot;\n        if (dot > max) max = dot;\n      }\n\n      result[0] = min;\n      result[1] = max;\n    }\n    /**\r\n     * Calculates which Voronoi region a point is on a line segment.\r\n     * \r\n     * It is assumed that both the line and the point are relative to `(0,0)`\r\n     * \r\n     *             |       (0)      |\r\n     *      (-1)  [S]--------------[E]  (1)\r\n     *            |       (0)      |\r\n     * \r\n     * @param {Vector} line The line segment.\r\n     * @param {Vector} point The point.\r\n     * @return {number} LEFT_VORONOI_REGION (-1) if it is the left region,\r\n     *                  MIDDLE_VORONOI_REGION (0) if it is the middle region,\r\n     *                  RIGHT_VORONOI_REGION (1) if it is the right region.\r\n     */\n\n  }, {\n    key: \"_voronoiRegion\",\n    value: function _voronoiRegion(line, point) {\n      var len2 = line.len2();\n      var dp = point.dot(line); // If the point is beyond the start of the line, it is in the left voronoi region.\n\n      if (dp < 0) return this._LEFT_VORONOI_REGION; // If the point is beyond the end of the line, it is in the right voronoi region.\n      else if (dp > len2) return this._RIGHT_VORONOI_REGION; // Otherwise, it's in the middle one.\n        else return this._MIDDLE_VORONOI_REGION;\n    }\n  }]);\n\n  return Collider2D;\n}();\n\nexport { Box, Circle, Collider2D as Collider2d, Polygon, Vector };\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".bx--dropdown[data-v-59834f29]{border-bottom:none}.selected[data-v-59834f29]{background-color:#fff;display:flex;justify-content:space-between;padding:.5rem .5rem;cursor:pointer}.active-position[data-v-59834f29]{border:1px solid #000;border-radius:5px}.selected__info[data-v-59834f29]{display:flex;max-width:340px}.selected__info-thumbnail[data-v-59834f29]{margin-right:20px;width:45px;max-height:45px}.selected__info-image[data-v-59834f29]{width:100%;height:100%;-o-object-fit:contain;object-fit:contain}.selected__info-name[data-v-59834f29]{font-size:.875rem;font-weight:600;margin-bottom:2px;font-size:14px}.selected__info-name[data-v-59834f29],.selected__info-technique[data-v-59834f29]{line-height:1.28572;letter-spacing:.16px;color:#161616}.selected__info-technique[data-v-59834f29]{font-size:.875rem;font-weight:400;margin-bottom:auto;font-size:12px}.selected__info-resolution[data-v-59834f29]{font-size:.75rem;line-height:1.33333;letter-spacing:.32px;color:#161616;font-size:12px}.selected__info--inner-wrap[data-v-59834f29]{display:flex;flex-direction:column;justify-content:space-between}.editor-toolbar[data-v-59834f29]{display:flex}.edit-icon[data-v-59834f29],.trash-icon[data-v-59834f29]{color:#161616;cursor:pointer}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","import {\r\n  CustomerReason,\r\n  CustomerReasonPagedList,\r\n} from '@/libs/proof-approval/typings/Rejection/CustomerReason';\r\nimport { PrePressReason } from '@/libs/proof-approval/typings/Rejection/PrePressReason';\r\nimport { AxiosResponse } from 'axios';\r\nimport { createApi } from '../http/http-common';\r\nimport {\r\n  authHandler,\r\n  invalidTokenHandler,\r\n  validTokenHandler,\r\n} from './interceptor-handlers/AuthHandler';\r\nimport { Release } from '@/libs/proof-approval/typings/common/Feature';\r\nimport { ProductPrintData } from '@midocean/webapps-shared-domain';\r\n\r\nconst printConfigAPI = createApi({\r\n  BASE_URL: process.env.VUE_APP_PRINT_CONFIG_BASE_URL,\r\n});\r\n\r\n// Setup interceptors for the printConfig API\r\nprintConfigAPI.interceptors.request.use(authHandler, function (error) {\r\n  return Promise.reject(error);\r\n});\r\nprintConfigAPI.interceptors.response.use(\r\n  validTokenHandler,\r\n  invalidTokenHandler\r\n);\r\n\r\nexport default {\r\n  get(uid: string): Promise<AxiosResponse<ProductPrintData>> {\r\n    return printConfigAPI.get(\r\n      `productPrintData/${uid}?includeCharacteristics=true`\r\n    );\r\n  },\r\n  getReasons(\r\n    languageFilter: string\r\n  ): Promise<{ data: CustomerReasonPagedList }> {\r\n    return printConfigAPI.get(`customerReasons/`, {\r\n      params: {\r\n        languageFilter,\r\n      },\r\n    });\r\n  },\r\n  getCustomerReasonByCode(\r\n    code: string\r\n  ): Promise<AxiosResponse<CustomerReason>> {\r\n    return printConfigAPI.get(`customerReasons/${code}`);\r\n  },\r\n  getPrePressReasonByCode(\r\n    code: string\r\n  ): Promise<AxiosResponse<PrePressReason>> {\r\n    return printConfigAPI.get(`prePressReasons/${code}`);\r\n  },\r\n  getNewFeatures(\r\n    versionId: number,\r\n    languageFilter: string\r\n  ): Promise<{ data: Release[] }> {\r\n    return printConfigAPI.get(`releases/`, {\r\n      params: {\r\n        versionId,\r\n        languageFilter,\r\n      },\r\n    });\r\n  },\r\n};\r\n","'use strict';\n\nvar utils = require('./../utils');\n\n// Headers whose duplicates are ignored by node\n// c.f. https://nodejs.org/api/http.html#http_message_headers\nvar ignoreDuplicateOf = [\n  'age', 'authorization', 'content-length', 'content-type', 'etag',\n  'expires', 'from', 'host', 'if-modified-since', 'if-unmodified-since',\n  'last-modified', 'location', 'max-forwards', 'proxy-authorization',\n  'referer', 'retry-after', 'user-agent'\n];\n\n/**\n * Parse headers into an object\n *\n * ```\n * Date: Wed, 27 Aug 2014 08:58:49 GMT\n * Content-Type: application/json\n * Connection: keep-alive\n * Transfer-Encoding: chunked\n * ```\n *\n * @param {String} headers Headers needing to be parsed\n * @returns {Object} Headers parsed into an object\n */\nmodule.exports = function parseHeaders(headers) {\n  var parsed = {};\n  var key;\n  var val;\n  var i;\n\n  if (!headers) { return parsed; }\n\n  utils.forEach(headers.split('\\n'), function parser(line) {\n    i = line.indexOf(':');\n    key = utils.trim(line.substr(0, i)).toLowerCase();\n    val = utils.trim(line.substr(i + 1));\n\n    if (key) {\n      if (parsed[key] && ignoreDuplicateOf.indexOf(key) >= 0) {\n        return;\n      }\n      if (key === 'set-cookie') {\n        parsed[key] = (parsed[key] ? parsed[key] : []).concat([val]);\n      } else {\n        parsed[key] = parsed[key] ? parsed[key] + ', ' + val : val;\n      }\n    }\n  });\n\n  return parsed;\n};\n","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PrintTechniqueGroup.vue?vue&type=style&index=0&id=53499622&prod&lang=scss\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"7aa27e04\", content, shadowRoot)\n};","'use strict';\n\nvar utils = require('./../utils');\nvar defaults = require('./../defaults');\n\n/**\n * Transform the data for a request or a response\n *\n * @param {Object|String} data The data to be transformed\n * @param {Array} headers The headers for the request or response\n * @param {Array|Function} fns A single function or Array of functions\n * @returns {*} The resulting transformed data\n */\nmodule.exports = function transformData(data, headers, fns) {\n  var context = this || defaults;\n  /*eslint no-param-reassign:0*/\n  utils.forEach(fns, function transform(fn) {\n    data = fn.call(context, data, headers);\n  });\n\n  return data;\n};\n","'use strict';\nmodule.exports = false;\n","export * from \"-!../../../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PreviewPdf.vue?vue&type=style&index=0&id=645d9dc8&prod&scoped=true&lang=scss\"","export * from \"-!../../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./ColorManagement.vue?vue&type=style&index=0&id=9e4dde20&prod&lang=scss\"","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".delete-position-modal .bx--modal-header__heading{font-size:20px}.delete-position-modal .bx--modal-content{font-size:14px;padding:16px}.delete-position-modal .bx--btn{font-size:14px;min-height:48px}.delete-position-modal .bx--modal-footer{height:48px}.delete-position-modal .bx--modal-close{width:48px;height:48px}.delete-position-modal .bx--modal-close__icon{height:20px;width:20px}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","export * from \"-!../../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./CustomAddButton.vue?vue&type=style&index=0&id=f91eb79e&prod&lang=scss&scoped=true\"","'use strict';\n\nvar bind = require('./helpers/bind');\n\n// utils is a library of generic helper functions non-specific to axios\n\nvar toString = Object.prototype.toString;\n\n/**\n * Determine if a value is an Array\n *\n * @param {Object} val The value to test\n * @returns {boolean} True if value is an Array, otherwise false\n */\nfunction isArray(val) {\n  return toString.call(val) === '[object Array]';\n}\n\n/**\n * Determine if a value is undefined\n *\n * @param {Object} val The value to test\n * @returns {boolean} True if the value is undefined, otherwise false\n */\nfunction isUndefined(val) {\n  return typeof val === 'undefined';\n}\n\n/**\n * Determine if a value is a Buffer\n *\n * @param {Object} val The value to test\n * @returns {boolean} True if value is a Buffer, otherwise false\n */\nfunction isBuffer(val) {\n  return val !== null && !isUndefined(val) && val.constructor !== null && !isUndefined(val.constructor)\n    && typeof val.constructor.isBuffer === 'function' && val.constructor.isBuffer(val);\n}\n\n/**\n * Determine if a value is an ArrayBuffer\n *\n * @param {Object} val The value to test\n * @returns {boolean} True if value is an ArrayBuffer, otherwise false\n */\nfunction isArrayBuffer(val) {\n  return toString.call(val) === '[object ArrayBuffer]';\n}\n\n/**\n * Determine if a value is a FormData\n *\n * @param {Object} val The value to test\n * @returns {boolean} True if value is an FormData, otherwise false\n */\nfunction isFormData(val) {\n  return (typeof FormData !== 'undefined') && (val instanceof FormData);\n}\n\n/**\n * Determine if a value is a view on an ArrayBuffer\n *\n * @param {Object} val The value to test\n * @returns {boolean} True if value is a view on an ArrayBuffer, otherwise false\n */\nfunction isArrayBufferView(val) {\n  var result;\n  if ((typeof ArrayBuffer !== 'undefined') && (ArrayBuffer.isView)) {\n    result = ArrayBuffer.isView(val);\n  } else {\n    result = (val) && (val.buffer) && (val.buffer instanceof ArrayBuffer);\n  }\n  return result;\n}\n\n/**\n * Determine if a value is a String\n *\n * @param {Object} val The value to test\n * @returns {boolean} True if value is a String, otherwise false\n */\nfunction isString(val) {\n  return typeof val === 'string';\n}\n\n/**\n * Determine if a value is a Number\n *\n * @param {Object} val The value to test\n * @returns {boolean} True if value is a Number, otherwise false\n */\nfunction isNumber(val) {\n  return typeof val === 'number';\n}\n\n/**\n * Determine if a value is an Object\n *\n * @param {Object} val The value to test\n * @returns {boolean} True if value is an Object, otherwise false\n */\nfunction isObject(val) {\n  return val !== null && typeof val === 'object';\n}\n\n/**\n * Determine if a value is a plain Object\n *\n * @param {Object} val The value to test\n * @return {boolean} True if value is a plain Object, otherwise false\n */\nfunction isPlainObject(val) {\n  if (toString.call(val) !== '[object Object]') {\n    return false;\n  }\n\n  var prototype = Object.getPrototypeOf(val);\n  return prototype === null || prototype === Object.prototype;\n}\n\n/**\n * Determine if a value is a Date\n *\n * @param {Object} val The value to test\n * @returns {boolean} True if value is a Date, otherwise false\n */\nfunction isDate(val) {\n  return toString.call(val) === '[object Date]';\n}\n\n/**\n * Determine if a value is a File\n *\n * @param {Object} val The value to test\n * @returns {boolean} True if value is a File, otherwise false\n */\nfunction isFile(val) {\n  return toString.call(val) === '[object File]';\n}\n\n/**\n * Determine if a value is a Blob\n *\n * @param {Object} val The value to test\n * @returns {boolean} True if value is a Blob, otherwise false\n */\nfunction isBlob(val) {\n  return toString.call(val) === '[object Blob]';\n}\n\n/**\n * Determine if a value is a Function\n *\n * @param {Object} val The value to test\n * @returns {boolean} True if value is a Function, otherwise false\n */\nfunction isFunction(val) {\n  return toString.call(val) === '[object Function]';\n}\n\n/**\n * Determine if a value is a Stream\n *\n * @param {Object} val The value to test\n * @returns {boolean} True if value is a Stream, otherwise false\n */\nfunction isStream(val) {\n  return isObject(val) && isFunction(val.pipe);\n}\n\n/**\n * Determine if a value is a URLSearchParams object\n *\n * @param {Object} val The value to test\n * @returns {boolean} True if value is a URLSearchParams object, otherwise false\n */\nfunction isURLSearchParams(val) {\n  return typeof URLSearchParams !== 'undefined' && val instanceof URLSearchParams;\n}\n\n/**\n * Trim excess whitespace off the beginning and end of a string\n *\n * @param {String} str The String to trim\n * @returns {String} The String freed of excess whitespace\n */\nfunction trim(str) {\n  return str.trim ? str.trim() : str.replace(/^\\s+|\\s+$/g, '');\n}\n\n/**\n * Determine if we're running in a standard browser environment\n *\n * This allows axios to run in a web worker, and react-native.\n * Both environments support XMLHttpRequest, but not fully standard globals.\n *\n * web workers:\n *  typeof window -> undefined\n *  typeof document -> undefined\n *\n * react-native:\n *  navigator.product -> 'ReactNative'\n * nativescript\n *  navigator.product -> 'NativeScript' or 'NS'\n */\nfunction isStandardBrowserEnv() {\n  if (typeof navigator !== 'undefined' && (navigator.product === 'ReactNative' ||\n                                           navigator.product === 'NativeScript' ||\n                                           navigator.product === 'NS')) {\n    return false;\n  }\n  return (\n    typeof window !== 'undefined' &&\n    typeof document !== 'undefined'\n  );\n}\n\n/**\n * Iterate over an Array or an Object invoking a function for each item.\n *\n * If `obj` is an Array callback will be called passing\n * the value, index, and complete array for each item.\n *\n * If 'obj' is an Object callback will be called passing\n * the value, key, and complete object for each property.\n *\n * @param {Object|Array} obj The object to iterate\n * @param {Function} fn The callback to invoke for each item\n */\nfunction forEach(obj, fn) {\n  // Don't bother if no value provided\n  if (obj === null || typeof obj === 'undefined') {\n    return;\n  }\n\n  // Force an array if not already something iterable\n  if (typeof obj !== 'object') {\n    /*eslint no-param-reassign:0*/\n    obj = [obj];\n  }\n\n  if (isArray(obj)) {\n    // Iterate over array values\n    for (var i = 0, l = obj.length; i < l; i++) {\n      fn.call(null, obj[i], i, obj);\n    }\n  } else {\n    // Iterate over object keys\n    for (var key in obj) {\n      if (Object.prototype.hasOwnProperty.call(obj, key)) {\n        fn.call(null, obj[key], key, obj);\n      }\n    }\n  }\n}\n\n/**\n * Accepts varargs expecting each argument to be an object, then\n * immutably merges the properties of each object and returns result.\n *\n * When multiple objects contain the same key the later object in\n * the arguments list will take precedence.\n *\n * Example:\n *\n * ```js\n * var result = merge({foo: 123}, {foo: 456});\n * console.log(result.foo); // outputs 456\n * ```\n *\n * @param {Object} obj1 Object to merge\n * @returns {Object} Result of all merge properties\n */\nfunction merge(/* obj1, obj2, obj3, ... */) {\n  var result = {};\n  function assignValue(val, key) {\n    if (isPlainObject(result[key]) && isPlainObject(val)) {\n      result[key] = merge(result[key], val);\n    } else if (isPlainObject(val)) {\n      result[key] = merge({}, val);\n    } else if (isArray(val)) {\n      result[key] = val.slice();\n    } else {\n      result[key] = val;\n    }\n  }\n\n  for (var i = 0, l = arguments.length; i < l; i++) {\n    forEach(arguments[i], assignValue);\n  }\n  return result;\n}\n\n/**\n * Extends object a by mutably adding to it the properties of object b.\n *\n * @param {Object} a The object to be extended\n * @param {Object} b The object to copy properties from\n * @param {Object} thisArg The object to bind function to\n * @return {Object} The resulting value of object a\n */\nfunction extend(a, b, thisArg) {\n  forEach(b, function assignValue(val, key) {\n    if (thisArg && typeof val === 'function') {\n      a[key] = bind(val, thisArg);\n    } else {\n      a[key] = val;\n    }\n  });\n  return a;\n}\n\n/**\n * Remove byte order marker. This catches EF BB BF (the UTF-8 BOM)\n *\n * @param {string} content with BOM\n * @return {string} content value without BOM\n */\nfunction stripBOM(content) {\n  if (content.charCodeAt(0) === 0xFEFF) {\n    content = content.slice(1);\n  }\n  return content;\n}\n\nmodule.exports = {\n  isArray: isArray,\n  isArrayBuffer: isArrayBuffer,\n  isBuffer: isBuffer,\n  isFormData: isFormData,\n  isArrayBufferView: isArrayBufferView,\n  isString: isString,\n  isNumber: isNumber,\n  isObject: isObject,\n  isPlainObject: isPlainObject,\n  isUndefined: isUndefined,\n  isDate: isDate,\n  isFile: isFile,\n  isBlob: isBlob,\n  isFunction: isFunction,\n  isStream: isStream,\n  isURLSearchParams: isURLSearchParams,\n  isStandardBrowserEnv: isStandardBrowserEnv,\n  forEach: forEach,\n  merge: merge,\n  extend: extend,\n  trim: trim,\n  stripBOM: stripBOM\n};\n","export * from \"-!../../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./ManualCheck.vue?vue&type=style&index=1&id=4b35cd64&prod&lang=scss\"","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".actions-panel__option[data-v-148e3d02]{display:flex;flex-direction:column;align-items:center;border-bottom:1px solid #e0e0e0;padding:5px 0}.actions-panel__active[data-v-148e3d02]{border-left:2px solid #24a148}.actions-panel div[data-v-148e3d02]{font-size:12px;line-height:16px!important;letter-spacing:.32px}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","'use strict';\nvar NATIVE_BIND = require('../internals/function-bind-native');\n\nvar call = Function.prototype.call;\n\nmodule.exports = NATIVE_BIND ? call.bind(call) : function () {\n  return call.apply(call, arguments);\n};\n","export * from \"-!../../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./TourModal.vue?vue&type=style&index=0&id=c2321bf0&prod&lang=scss\"","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".panel-content .bx--checkbox-label:before{width:16px;height:16px;font-size:14px;padding-left:8px}.panel-content .bx--checkbox-label:after{top:7px;left:7px;width:8px;height:3px}.panel-content .bx--form-item.bx--checkbox-wrapper:first-of-type{margin-top:8px}.panel-content .bx--checkbox-label-text{padding-left:10px;margin-top:3px;font-size:14px}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","'use strict';\nvar uncurryThis = require('../internals/function-uncurry-this');\n\nvar toString = uncurryThis({}.toString);\nvar stringSlice = uncurryThis(''.slice);\n\nmodule.exports = function (it) {\n  return stringSlice(toString(it), 8, -1);\n};\n","'use strict';\nvar IS_PURE = require('../internals/is-pure');\nvar globalThis = require('../internals/global');\nvar defineGlobalProperty = require('../internals/define-global-property');\n\nvar SHARED = '__core-js_shared__';\nvar store = module.exports = globalThis[SHARED] || defineGlobalProperty(SHARED, {});\n\n(store.versions || (store.versions = [])).push({\n  version: '3.37.0',\n  mode: IS_PURE ? 'pure' : 'global',\n  copyright: '© 2014-2024 Denis Pushkarev (zloirock.ru)',\n  license: 'https://github.com/zloirock/core-js/blob/v3.37.0/LICENSE',\n  source: 'https://github.com/zloirock/core-js'\n});\n","export * from \"-!../../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./NotificationsHeader.vue?vue&type=style&index=0&id=62678cad&prod&lang=scss&scoped=true\"","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./UploadArtworkDialog.vue?vue&type=style&index=0&id=86760052&prod&lang=scss&scoped=true\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"61f8d42c\", content, shadowRoot)\n};","'use strict';\r\n\r\nvar Vue = require('vue');\r\nVue = 'default' in Vue ? Vue['default'] : Vue;\r\n\r\nvar version = '2.2.2';\r\n\r\nvar compatible = (/^2\\./).test(Vue.version);\r\nif (!compatible) {\r\n  Vue.util.warn('VueClickaway ' + version + ' only supports Vue 2.x, and does not support Vue ' + Vue.version);\r\n}\r\n\r\n\r\n\r\n// @SECTION: implementation\r\n\r\nvar HANDLER = '_vue_clickaway_handler';\r\n\r\nfunction bind(el, binding, vnode) {\r\n  unbind(el);\r\n\r\n  var vm = vnode.context;\r\n\r\n  var callback = binding.value;\r\n  if (typeof callback !== 'function') {\r\n    if (process.env.NODE_ENV !== 'production') {\r\n      Vue.util.warn(\r\n        'v-' + binding.name + '=\"' +\r\n        binding.expression + '\" expects a function value, ' +\r\n        'got ' + callback\r\n      );\r\n    }\r\n    return;\r\n  }\r\n\r\n  // @NOTE: Vue binds directives in microtasks, while UI events are dispatched\r\n  //        in macrotasks. This causes the listener to be set up before\r\n  //        the \"origin\" click event (the event that lead to the binding of\r\n  //        the directive) arrives at the document root. To work around that,\r\n  //        we ignore events until the end of the \"initial\" macrotask.\r\n  // @REFERENCE: https://jakearchibald.com/2015/tasks-microtasks-queues-and-schedules/\r\n  // @REFERENCE: https://github.com/simplesmiler/vue-clickaway/issues/8\r\n  var initialMacrotaskEnded = false;\r\n  setTimeout(function() {\r\n    initialMacrotaskEnded = true;\r\n  }, 0);\r\n\r\n  el[HANDLER] = function(ev) {\r\n    // @NOTE: this test used to be just `el.containts`, but working with path is better,\r\n    //        because it tests whether the element was there at the time of\r\n    //        the click, not whether it is there now, that the event has arrived\r\n    //        to the top.\r\n    // @NOTE: `.path` is non-standard, the standard way is `.composedPath()`\r\n    var path = ev.path || (ev.composedPath ? ev.composedPath() : undefined);\r\n    if (initialMacrotaskEnded && (path ? path.indexOf(el) < 0 : !el.contains(ev.target))) {\r\n      return callback.call(vm, ev);\r\n    }\r\n  };\r\n\r\n  document.documentElement.addEventListener('click', el[HANDLER], false);\r\n}\r\n\r\nfunction unbind(el) {\r\n  document.documentElement.removeEventListener('click', el[HANDLER], false);\r\n  delete el[HANDLER];\r\n}\r\n\r\nvar directive = {\r\n  bind: bind,\r\n  update: function(el, binding) {\r\n    if (binding.value === binding.oldValue) return;\r\n    bind(el, binding);\r\n  },\r\n  unbind: unbind,\r\n};\r\n\r\nvar mixin = {\r\n  directives: { onClickaway: directive },\r\n};\r\n\r\nexports.version = version;\r\nexports.directive = directive;\r\nexports.mixin = mixin;","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./SmallDetailsLogoOnly.vue?vue&type=style&index=1&id=1e6bc25b&prod&scoped=true&lang=scss\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"15a7e0ca\", content, shadowRoot)\n};","// Imports\nvar 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ue(e,t){if(void 0===e&&(e=!0),void 0===t&&(t=!0),n.input.value=\"\",void 0!==n.altInput&&(n.altInput.value=\"\"),void 0!==n.mobileInput&&(n.mobileInput.value=\"\"),n.selectedDates=[],n.latestSelectedDateObj=void 0,!0===t&&(n.currentYear=n._initialDate.getFullYear(),n.currentMonth=n._initialDate.getMonth()),!0===n.config.enableTime){var a=T(n.config),i=a.hours,r=a.minutes,o=a.seconds;N(i,r,o)}n.redraw(),e&&We(\"onChange\")}function fe(){n.isOpen=!1,n.isMobile||(void 0!==n.calendarContainer&&n.calendarContainer.classList.remove(\"open\"),void 0!==n._input&&n._input.classList.remove(\"active\")),We(\"onClose\")}function he(){void 0!==n.config&&We(\"onDestroy\");for(var e=n._handlers.length;e--;)n._handlers[e].remove();if(n._handlers=[],n.mobileInput)n.mobileInput.parentNode&&n.mobileInput.parentNode.removeChild(n.mobileInput),n.mobileInput=void 0;else if(n.calendarContainer&&n.calendarContainer.parentNode)if(n.config.static&&n.calendarContainer.parentNode){var t=n.calendarContainer.parentNode;if(t.lastChild&&t.removeChild(t.lastChild),t.parentNode){while(t.firstChild)t.parentNode.insertBefore(t.firstChild,t);t.parentNode.removeChild(t)}}else n.calendarContainer.parentNode.removeChild(n.calendarContainer);n.altInput&&(n.input.type=\"text\",n.altInput.parentNode&&n.altInput.parentNode.removeChild(n.altInput),delete n.altInput),n.input&&(n.input.type=n.input._type,n.input.classList.remove(\"flatpickr-input\"),n.input.removeAttribute(\"readonly\")),[\"_showTimeInput\",\"latestSelectedDateObj\",\"_hideNextMonthArrow\",\"_hidePrevMonthArrow\",\"__hideNextMonthArrow\",\"__hidePrevMonthArrow\",\"isMobile\",\"isOpen\",\"selectedDateElem\",\"minDateHasTime\",\"maxDateHasTime\",\"days\",\"daysContainer\",\"_input\",\"_positionElement\",\"innerContainer\",\"rContainer\",\"monthNav\",\"todayDateElem\",\"calendarContainer\",\"weekdayContainer\",\"prevMonthNav\",\"nextMonthNav\",\"monthsDropdownContainer\",\"currentMonthElement\",\"currentYearElement\",\"navigationCurrentMonth\",\"selectedDateElem\",\"config\"].forEach((function(e){try{delete n[e]}catch(t){}}))}function pe(e){return n.calendarContainer.contains(e)}function be(e){if(n.isOpen&&!n.config.inline){var t=m(e),a=pe(t),i=t===n.input||t===n.altInput||n.element.contains(t)||e.path&&e.path.indexOf&&(~e.path.indexOf(n.input)||~e.path.indexOf(n.altInput)),r=!i&&!a&&!pe(e.relatedTarget),o=!n.config.ignoredFocusElements.some((function(e){return e.contains(t)}));r&&o&&(n.config.allowInput&&n.setDate(n._input.value,!1,n.config.altInput?n.config.altFormat:n.config.dateFormat),void 0!==n.timeContainer&&void 0!==n.minuteElement&&void 0!==n.hourElement&&\"\"!==n.input.value&&void 0!==n.input.value&&k(),n.close(),n.config&&\"range\"===n.config.mode&&1===n.selectedDates.length&&n.clear(!1))}}function ve(e){if(!(!e||n.config.minDate&&e<n.config.minDate.getFullYear()||n.config.maxDate&&e>n.config.maxDate.getFullYear())){var t=e,a=n.currentYear!==t;n.currentYear=t||n.currentYear,n.config.maxDate&&n.currentYear===n.config.maxDate.getFullYear()?n.currentMonth=Math.min(n.config.maxDate.getMonth(),n.currentMonth):n.config.minDate&&n.currentYear===n.config.minDate.getFullYear()&&(n.currentMonth=Math.max(n.config.minDate.getMonth(),n.currentMonth)),a&&(n.redraw(),We(\"onYearChange\"),ne())}}function ge(e,t){var a;void 0===t&&(t=!0);var i=n.parseDate(e,void 0,t);if(n.config.minDate&&i&&P(i,n.config.minDate,void 0!==t?t:!n.minDateHasTime)<0||n.config.maxDate&&i&&P(i,n.config.maxDate,void 0!==t?t:!n.maxDateHasTime)>0)return!1;if(!n.config.enable&&0===n.config.disable.length)return!0;if(void 0===i)return!1;for(var r=!!n.config.enable,o=null!==(a=n.config.enable)&&void 0!==a?a:n.config.disable,s=0,l=void 0;s<o.length;s++){if(l=o[s],\"function\"===typeof l&&l(i))return r;if(l instanceof Date&&void 0!==i&&l.getTime()===i.getTime())return r;if(\"string\"===typeof l){var c=n.parseDate(l,void 0,!0);return c&&c.getTime()===i.getTime()?r:!r}if(\"object\"===typeof l&&void 0!==i&&l.from&&l.to&&i.getTime()>=l.from.getTime()&&i.getTime()<=l.to.getTime())return r}return!r}function me(e){return void 0!==n.daysContainer&&(-1===e.className.indexOf(\"hidden\")&&-1===e.className.indexOf(\"flatpickr-disabled\")&&n.daysContainer.contains(e))}function xe(e){var t=e.target===n._input,a=n._input.value.trimEnd()!==Ke();!t||!a||e.relatedTarget&&pe(e.relatedTarget)||n.setDate(n._input.value,!0,e.target===n.altInput?n.config.altFormat:n.config.dateFormat)}function we(t){var a=m(t),i=n.config.wrap?e.contains(a):a===n._input,r=n.config.allowInput,o=n.isOpen&&(!r||!i),l=n.config.inline&&i&&!r;if(13===t.keyCode&&i){if(r)return n.setDate(n._input.value,!0,a===n.altInput?n.config.altFormat:n.config.dateFormat),n.close(),a.blur();n.open()}else if(pe(a)||o||l){var c=!!n.timeContainer&&n.timeContainer.contains(a);switch(t.keyCode){case 13:c?(t.preventDefault(),k(),Ae()):Le(t);break;case 27:t.preventDefault(),Ae();break;case 8:case 46:i&&!n.config.allowInput&&(t.preventDefault(),n.clear());break;case 37:case 39:if(c||i)n.hourElement&&n.hourElement.focus();else{t.preventDefault();var d=s();if(void 0!==n.daysContainer&&(!1===r||d&&me(d))){var u=39===t.keyCode?1:-1;t.ctrlKey?(t.stopPropagation(),de(u),Q(Z(1),0)):Q(void 0,u)}}break;case 38:case 40:t.preventDefault();var f=40===t.keyCode?1:-1;n.daysContainer&&void 0!==a.$i||a===n.input||a===n.altInput?t.ctrlKey?(t.stopPropagation(),ve(n.currentYear-f),Q(Z(1),0)):c||Q(void 0,7*f):a===n.currentYearElement?ve(n.currentYear-f):n.config.enableTime&&(!c&&n.hourElement&&n.hourElement.focus(),k(t),n._debouncedChange());break;case 9:if(c){var h=[n.hourElement,n.minuteElement,n.secondElement,n.amPM].concat(n.pluginElements).filter((function(e){return e})),p=h.indexOf(a);if(-1!==p){var b=h[p+(t.shiftKey?-1:1)];t.preventDefault(),(b||n._input).focus()}}else!n.config.noCalendar&&n.daysContainer&&n.daysContainer.contains(a)&&t.shiftKey&&(t.preventDefault(),n._input.focus());break;default:break}}if(void 0!==n.amPM&&a===n.amPM)switch(t.key){case n.l10n.amPM[0].charAt(0):case n.l10n.amPM[0].charAt(0).toLowerCase():n.amPM.textContent=n.l10n.amPM[0],B(),Ge();break;case n.l10n.amPM[1].charAt(0):case n.l10n.amPM[1].charAt(0).toLowerCase():n.amPM.textContent=n.l10n.amPM[1],B(),Ge();break}(i||pe(a))&&We(\"onKeyDown\",t)}function ye(e,t){if(void 0===t&&(t=\"flatpickr-day\"),1===n.selectedDates.length&&(!e||e.classList.contains(t)&&!e.classList.contains(\"flatpickr-disabled\"))){for(var a=e?e.dateObj.getTime():n.days.firstElementChild.dateObj.getTime(),i=n.parseDate(n.selectedDates[0],void 0,!0).getTime(),r=Math.min(a,n.selectedDates[0].getTime()),o=Math.max(a,n.selectedDates[0].getTime()),s=!1,l=0,c=0,d=r;d<o;d+=M.DAY)ge(new Date(d),!0)||(s=s||d>r&&d<o,d<i&&(!l||d>l)?l=d:d>i&&(!c||d<c)&&(c=d));var u=Array.from(n.rContainer.querySelectorAll(\"*:nth-child(-n+\"+n.config.showMonths+\") > .\"+t));u.forEach((function(t){var r=t.dateObj,o=r.getTime(),d=l>0&&o<l||c>0&&o>c;if(d)return t.classList.add(\"notAllowed\"),void[\"inRange\",\"startRange\",\"endRange\"].forEach((function(e){t.classList.remove(e)}));s&&!d||([\"startRange\",\"inRange\",\"endRange\",\"notAllowed\"].forEach((function(e){t.classList.remove(e)})),void 0!==e&&(e.classList.add(a<=n.selectedDates[0].getTime()?\"startRange\":\"endRange\"),i<a&&o===i?t.classList.add(\"startRange\"):i>a&&o===i&&t.classList.add(\"endRange\"),o>=l&&(0===c||o<=c)&&O(o,i,a)&&t.classList.add(\"inRange\")))}))}}function _e(){!n.isOpen||n.config.static||n.config.inline||De()}function ke(e,t){if(void 0===t&&(t=n._positionElement),!0===n.isMobile){if(e){e.preventDefault();var a=m(e);a&&a.blur()}return void 0!==n.mobileInput&&(n.mobileInput.focus(),n.mobileInput.click()),void We(\"onOpen\")}if(!n._input.disabled&&!n.config.inline){var i=n.isOpen;n.isOpen=!0,i||(n.calendarContainer.classList.add(\"open\"),n._input.classList.add(\"active\"),We(\"onOpen\"),De(t)),!0===n.config.enableTime&&!0===n.config.noCalendar&&(!1!==n.config.allowInput||void 0!==e&&n.timeContainer.contains(e.relatedTarget)||setTimeout((function(){return n.hourElement.select()}),50))}}function Ce(e){return function(t){var a=n.config[\"_\"+e+\"Date\"]=n.parseDate(t,n.config.dateFormat),i=n.config[\"_\"+(\"min\"===e?\"max\":\"min\")+\"Date\"];void 0!==a&&(n[\"min\"===e?\"minDateHasTime\":\"maxDateHasTime\"]=a.getHours()>0||a.getMinutes()>0||a.getSeconds()>0),n.selectedDates&&(n.selectedDates=n.selectedDates.filter((function(e){return ge(e)})),n.selectedDates.length||\"min\"!==e||V(a),Ge()),n.daysContainer&&(Te(),void 0!==a?n.currentYearElement[e]=a.getFullYear().toString():n.currentYearElement.removeAttribute(e),n.currentYearElement.disabled=!!i&&void 0!==a&&i.getFullYear()===a.getFullYear())}}function Se(){var a=[\"wrap\",\"weekNumbers\",\"allowInput\",\"allowInvalidPreload\",\"clickOpens\",\"time_24hr\",\"enableTime\",\"noCalendar\",\"altInput\",\"shorthandCurrentMonth\",\"inline\",\"static\",\"enableSeconds\",\"disableMobile\"],i=A(A({},JSON.parse(JSON.stringify(e.dataset||{}))),t),s={};n.config.parseDate=i.parseDate,n.config.formatDate=i.formatDate,Object.defineProperty(n.config,\"enable\",{get:function(){return n.config._enable},set:function(e){n.config._enable=Be(e)}}),Object.defineProperty(n.config,\"disable\",{get:function(){return n.config._disable},set:function(e){n.config._disable=Be(e)}});var l=\"time\"===i.mode;if(!i.dateFormat&&(i.enableTime||l)){var c=F.defaultConfig.dateFormat||o.dateFormat;s.dateFormat=i.noCalendar||l?\"H:i\"+(i.enableSeconds?\":S\":\"\"):c+\" H:i\"+(i.enableSeconds?\":S\":\"\")}if(i.altInput&&(i.enableTime||l)&&!i.altFormat){var d=F.defaultConfig.altFormat||o.altFormat;s.altFormat=i.noCalendar||l?\"h:i\"+(i.enableSeconds?\":S K\":\" K\"):d+\" h:i\"+(i.enableSeconds?\":S\":\"\")+\" K\"}Object.defineProperty(n.config,\"minDate\",{get:function(){return n.config._minDate},set:Ce(\"min\")}),Object.defineProperty(n.config,\"maxDate\",{get:function(){return n.config._maxDate},set:Ce(\"max\")});var u=function(e){return function(t){n.config[\"min\"===e?\"_minTime\":\"_maxTime\"]=n.parseDate(t,\"H:i:S\")}};Object.defineProperty(n.config,\"minTime\",{get:function(){return n.config._minTime},set:u(\"min\")}),Object.defineProperty(n.config,\"maxTime\",{get:function(){return n.config._maxTime},set:u(\"max\")}),\"time\"===i.mode&&(n.config.noCalendar=!0,n.config.enableTime=!0),Object.assign(n.config,s,i);for(var h=0;h<a.length;h++)n.config[a[h]]=!0===n.config[a[h]]||\"true\"===n.config[a[h]];r.filter((function(e){return void 0!==n.config[e]})).forEach((function(e){n.config[e]=f(n.config[e]||[]).map(x)})),n.isMobile=!n.config.disableMobile&&!n.config.inline&&\"single\"===n.config.mode&&!n.config.disable.length&&!n.config.enable&&!n.config.weekNumbers&&/Android|webOS|iPhone|iPad|iPod|BlackBerry|IEMobile|Opera Mini/i.test(navigator.userAgent);for(h=0;h<n.config.plugins.length;h++){var p=n.config.plugins[h](n)||{};for(var b in p)r.indexOf(b)>-1?n.config[b]=f(p[b]).map(x).concat(n.config[b]):\"undefined\"===typeof i[b]&&(n.config[b]=p[b])}i.altInputClass||(n.config.altInputClass=Pe().className+\" \"+n.config.altInputClass),We(\"onParseConfig\")}function Pe(){return n.config.wrap?e.querySelector(\"[data-input]\"):e}function Oe(){\"object\"!==typeof n.config.locale&&\"undefined\"===typeof F.l10ns[n.config.locale]&&n.config.errorHandler(new Error(\"flatpickr: invalid locale \"+n.config.locale)),n.l10n=A(A({},F.l10ns.default),\"object\"===typeof n.config.locale?n.config.locale:\"default\"!==n.config.locale?F.l10ns[n.config.locale]:void 0),_.D=\"(\"+n.l10n.weekdays.shorthand.join(\"|\")+\")\",_.l=\"(\"+n.l10n.weekdays.longhand.join(\"|\")+\")\",_.M=\"(\"+n.l10n.months.shorthand.join(\"|\")+\")\",_.F=\"(\"+n.l10n.months.longhand.join(\"|\")+\")\",_.K=\"(\"+n.l10n.amPM[0]+\"|\"+n.l10n.amPM[1]+\"|\"+n.l10n.amPM[0].toLowerCase()+\"|\"+n.l10n.amPM[1].toLowerCase()+\")\";var a=A(A({},t),JSON.parse(JSON.stringify(e.dataset||{})));void 0===a.time_24hr&&void 0===F.defaultConfig.time_24hr&&(n.config.time_24hr=n.l10n.time_24hr),n.formatDate=C(n),n.parseDate=S({config:n.config,l10n:n.l10n})}function De(e){if(\"function\"!==typeof n.config.position){if(void 0!==n.calendarContainer){We(\"onPreCalendarPosition\");var t=e||n._positionElement,a=Array.prototype.reduce.call(n.calendarContainer.children,(function(e,t){return e+t.offsetHeight}),0),i=n.calendarContainer.offsetWidth,r=n.config.position.split(\" 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w=window.document.body.offsetWidth,y=Math.max(0,w/2-i/2),_=\".flatpickr-calendar.centerMost:before\",k=\".flatpickr-calendar.centerMost:after\",C=x.cssRules.length,S=\"{left:\"+l.left+\"px;right:auto;}\";h(n.calendarContainer,\"rightMost\",!1),h(n.calendarContainer,\"centerMost\",!0),x.insertRule(_+\",\"+k+S,C),n.calendarContainer.style.left=y+\"px\",n.calendarContainer.style.right=\"auto\"}else n.calendarContainer.style.left=\"auto\",n.calendarContainer.style.right=v+\"px\";else n.calendarContainer.style.left=f+\"px\",n.calendarContainer.style.right=\"auto\"}}}else n.config.position(n,e)}function $e(){for(var e=null,t=0;t<document.styleSheets.length;t++){var n=document.styleSheets[t];if(n.cssRules){try{n.cssRules}catch(a){continue}e=n;break}}return null!=e?e:Me()}function Me(){var e=document.createElement(\"style\");return document.head.appendChild(e),e.sheet}function Te(){n.config.noCalendar||n.isMobile||(ne(),qe(),te())}function Ae(){n._input.focus(),-1!==window.navigator.userAgent.indexOf(\"MSIE\")||void 0!==navigator.msMaxTouchPoints?setTimeout(n.close,0):n.close()}function Le(e){e.preventDefault(),e.stopPropagation();var t=function(e){return e.classList&&e.classList.contains(\"flatpickr-day\")&&!e.classList.contains(\"flatpickr-disabled\")&&!e.classList.contains(\"notAllowed\")},a=v(m(e),t);if(void 0!==a){var i=a,r=n.latestSelectedDateObj=new Date(i.dateObj.getTime()),o=(r.getMonth()<n.currentMonth||r.getMonth()>n.currentMonth+n.config.showMonths-1)&&\"range\"!==n.config.mode;if(n.selectedDateElem=i,\"single\"===n.config.mode)n.selectedDates=[r];else if(\"multiple\"===n.config.mode){var s=Ye(r);s?n.selectedDates.splice(parseInt(s),1):n.selectedDates.push(r)}else\"range\"===n.config.mode&&(2===n.selectedDates.length&&n.clear(!1,!1),n.latestSelectedDateObj=r,n.selectedDates.push(r),0!==P(r,n.selectedDates[0],!0)&&n.selectedDates.sort((function(e,t){return e.getTime()-t.getTime()})));if(B(),o){var l=n.currentYear!==r.getFullYear();n.currentYear=r.getFullYear(),n.currentMonth=r.getMonth(),l&&(We(\"onYearChange\"),ne()),We(\"onMonthChange\")}if(qe(),te(),Ge(),o||\"range\"===n.config.mode||1!==n.config.showMonths?void 0!==n.selectedDateElem&&void 0===n.hourElement&&n.selectedDateElem&&n.selectedDateElem.focus():G(i),void 0!==n.hourElement&&void 0!==n.hourElement&&n.hourElement.focus(),n.config.closeOnSelect){var c=\"single\"===n.config.mode&&!n.config.enableTime,d=\"range\"===n.config.mode&&2===n.selectedDates.length&&!n.config.enableTime;(c||d)&&Ae()}R()}}n.parseDate=S({config:n.config,l10n:n.l10n}),n._handlers=[],n.pluginElements=[],n.loadedPlugins=[],n._bind=z,n._setHoursFromDate=V,n._positionCalendar=De,n.changeMonth=de,n.changeYear=ve,n.clear=ue,n.close=fe,n.onMouseOver=ye,n._createElement=p,n.createDay=K,n.destroy=he,n.isEnabled=ge,n.jumpToDate=J,n.updateValue=Ge,n.open=ke,n.redraw=Te,n.set=Ie,n.setDate=Fe,n.toggle=Re;var Ee={locale:[Oe,le],showMonths:[ie,y,se],minDate:[J],maxDate:[J],positionElement:[He],clickOpens:[function(){!0===n.config.clickOpens?(z(n._input,\"focus\",n.open),z(n._input,\"click\",n.open)):(n._input.removeEventListener(\"focus\",n.open),n._input.removeEventListener(\"click\",n.open))}]};function Ie(e,t){if(null!==e&&\"object\"===typeof e)for(var a in Object.assign(n.config,e),e)void 0!==Ee[a]&&Ee[a].forEach((function(e){return e()}));else n.config[e]=t,void 0!==Ee[e]?Ee[e].forEach((function(e){return e()})):r.indexOf(e)>-1&&(n.config[e]=f(t));n.redraw(),Ge(!0)}function je(e,t){var a=[];if(e instanceof Array)a=e.map((function(e){return n.parseDate(e,t)}));else if(e instanceof Date||\"number\"===typeof e)a=[n.parseDate(e,t)];else if(\"string\"===typeof e)switch(n.config.mode){case\"single\":case\"time\":a=[n.parseDate(e,t)];break;case\"multiple\":a=e.split(n.config.conjunction).map((function(e){return n.parseDate(e,t)}));break;case\"range\":a=e.split(n.l10n.rangeSeparator).map((function(e){return n.parseDate(e,t)}));break;default:break}else n.config.errorHandler(new Error(\"Invalid date supplied: \"+JSON.stringify(e)));n.selectedDates=n.config.allowInvalidPreload?a:a.filter((function(e){return e instanceof Date&&ge(e,!1)})),\"range\"===n.config.mode&&n.selectedDates.sort((function(e,t){return e.getTime()-t.getTime()}))}function Fe(e,t,a){if(void 0===t&&(t=!1),void 0===a&&(a=n.config.dateFormat),0!==e&&!e||e instanceof Array&&0===e.length)return n.clear(t);je(e,a),n.latestSelectedDateObj=n.selectedDates[n.selectedDates.length-1],n.redraw(),J(void 0,t),V(),0===n.selectedDates.length&&n.clear(!1),Ge(t),t&&We(\"onChange\")}function Be(e){return e.slice().map((function(e){return\"string\"===typeof e||\"number\"===typeof e||e instanceof Date?n.parseDate(e,void 0,!0):e&&\"object\"===typeof e&&e.from&&e.to?{from:n.parseDate(e.from,void 0),to:n.parseDate(e.to,void 0)}:e})).filter((function(e){return e}))}function Ve(){n.selectedDates=[],n.now=n.parseDate(n.config.now)||new Date;var e=n.config.defaultDate||(\"INPUT\"!==n.input.nodeName&&\"TEXTAREA\"!==n.input.nodeName||!n.input.placeholder||n.input.value!==n.input.placeholder?n.input.value:null);e&&je(e,n.config.dateFormat),n._initialDate=n.selectedDates.length>0?n.selectedDates[0]:n.config.minDate&&n.config.minDate.getTime()>n.now.getTime()?n.config.minDate:n.config.maxDate&&n.config.maxDate.getTime()<n.now.getTime()?n.config.maxDate:n.now,n.currentYear=n._initialDate.getFullYear(),n.currentMonth=n._initialDate.getMonth(),n.selectedDates.length>0&&(n.latestSelectedDateObj=n.selectedDates[0]),void 0!==n.config.minTime&&(n.config.minTime=n.parseDate(n.config.minTime,\"H:i\")),void 0!==n.config.maxTime&&(n.config.maxTime=n.parseDate(n.config.maxTime,\"H:i\")),n.minDateHasTime=!!n.config.minDate&&(n.config.minDate.getHours()>0||n.config.minDate.getMinutes()>0||n.config.minDate.getSeconds()>0),n.maxDateHasTime=!!n.config.maxDate&&(n.config.maxDate.getHours()>0||n.config.maxDate.getMinutes()>0||n.config.maxDate.getSeconds()>0)}function Ne(){n.input=Pe(),n.input?(n.input._type=n.input.type,n.input.type=\"text\",n.input.classList.add(\"flatpickr-input\"),n._input=n.input,n.config.altInput&&(n.altInput=p(n.input.nodeName,n.config.altInputClass),n._input=n.altInput,n.altInput.placeholder=n.input.placeholder,n.altInput.disabled=n.input.disabled,n.altInput.required=n.input.required,n.altInput.tabIndex=n.input.tabIndex,n.altInput.type=\"text\",n.input.setAttribute(\"type\",\"hidden\"),!n.config.static&&n.input.parentNode&&n.input.parentNode.insertBefore(n.altInput,n.input.nextSibling)),n.config.allowInput||n._input.setAttribute(\"readonly\",\"readonly\"),He()):n.config.errorHandler(new Error(\"Invalid input element specified\"))}function He(){n._positionElement=n.config.positionElement||n._input}function ze(){var e=n.config.enableTime?n.config.noCalendar?\"time\":\"datetime-local\":\"date\";n.mobileInput=p(\"input\",n.input.className+\" 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n=(e,t)=>{e.ownerId?this.store.setState(e.ownerId,t):s(e.contentSelector,t)};if(n(e,t),t){const t=this.switcherButtons();for(let a in t)t[a].buttonId!==e.buttonId&&(t[a].close(),n(t[a],!1))}},onCvOpen(e){this.$emit(\"selected\",e.ownerId?e.ownerId:e.contentSelector),this.processState(e,!0)}}},c=l,d=n(\"3f1b\"),u=Object(d[\"a\"])(c,a,i,!1,null,null,null);t[\"default\"]=u.exports},fb12:function(e,t,n){\"use strict\";n.r(t);var a=function(){var e=this,t=e._self._c;return t(\"div\",{staticClass:\"cv-number-input\",class:e.carbonPrefix+\"--form-item\"},[t(\"label\",{class:`${e.carbonPrefix}--label ${e.carbonPrefix}--skeleton`}),t(\"div\",{class:`${e.carbonPrefix}--number ${e.carbonPrefix}--skeleton`})])},i=[],r=n(\"1b62\"),o={name:\"CvNumberInputSkeleton\",mixins:[r[\"a\"]]},s=o,l=n(\"3f1b\"),c=Object(l[\"a\"])(s,a,i,!1,null,null,null);t[\"default\"]=c.exports},ff77:function(e,t,n){\"use strict\";n.r(t);var a=function(){var e=this,t=e._self._c;return t(\"cv-wrapper\",{staticClass:\"cv-loading\",class:e.overlayClasses,attrs:{\"tag-type\":e.overlay?\"div\":\"\"}},[t(\"div\",{ref:\"loading\",class:{\"cv-loading\":!e.overlay,[e.carbonPrefix+\"--loading\"]:e.active||e.stopping,[e.carbonPrefix+\"--loading--stop\"]:!e.active&&e.stopping||e.stopped,[e.carbonPrefix+\"--loading--small\"]:e.small},attrs:{\"data-loading\":\"\"}},[t(\"label\",{class:e.carbonPrefix+\"--visually-hidden\"},[e._v(\" \"+e._s(e.description)+\" \")]),t(\"svg\",{class:e.carbonPrefix+\"--loading__svg\",attrs:{viewBox:\"0 0 100 100\"}},[t(\"title\",[e._v(e._s(e.description))]),e.small?t(\"circle\",{class:e.carbonPrefix+\"--loading__background\",attrs:{cx:\"50%\",cy:\"50%\",r:e.loadingRadius}}):e._e(),t(\"circle\",{class:e.carbonPrefix+\"--loading__stroke\",attrs:{cx:\"50%\",cy:\"50%\",r:e.loadingRadius}})])])])},i=[],r=n(\"5d36\"),o=n(\"1b62\"),s={name:\"CvLoading\",mixins:[o[\"a\"]],components:{CvWrapper:r[\"a\"]},props:{active:{type:Boolean,default:!0},description:{type:String,default:\"Loading\"},overlay:Boolean,small:Boolean},computed:{overlayClasses(){const e=[];return this.overlay&&(this.active||this.stopping?e.push(this.carbonPrefix+\"--loading-overlay\"):e.push(this.carbonPrefix+\"--loading-overlay--stop\")),e},loadingRadius(){return this.small?\"42\":\"44\"}},data(){return{stopped:!1,stopping:!1}},watch:{active(e){this.onActiveUpdate(e)}},methods:{onEnd(e){\"rotate-end-p2\"===e.animationName&&(this.$refs.loading.removeEventListener(\"animationend\",this.onEnd),this.stopping=!1,this.stopped=!0,this.$emit(\"loading-end\"))},onActiveUpdate(e){this.stopped=!1,this.stopping=!e,e||this.$refs.loading.addEventListener(\"animationend\",this.onEnd)}}},l=s,c=n(\"3f1b\"),d=Object(c[\"a\"])(l,a,i,!1,null,null,null);t[\"default\"]=d.exports}})}));\n//# sourceMappingURL=carbon-vue.umd.min.js.map","export * from \"-!../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./ErrorNotification.vue?vue&type=style&index=0&id=b8f49712&prod&lang=scss&scoped=true\"","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".modal-btn[data-v-6e9e83bf]{max-width:50%!important}.bx--btn-set[data-v-6e9e83bf]{height:100%}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \"body.v-tour--active{pointer-events:none}.v-tour{pointer-events:auto}.v-tour__target--highlighted{box-shadow:0 0 0 4px rgba(0,0,0,.4);pointer-events:auto;z-index:9999}.v-tour__target--relative{position:relative}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../node_modules/css-loader/dist/cjs.js??ref--7-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--7-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--7-oneOf-1-3!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./SmallDetailsLogoOnly.vue?vue&type=style&index=2&id=1e6bc25b&prod&lang=css\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"2d50ea5f\", content, shadowRoot)\n};","export * from \"-!../../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./HomePanel.vue?vue&type=style&index=0&id=f4ea8d42&prod&lang=scss\"","'use strict';\nvar uncurryThis = require('../internals/function-uncurry-this');\nvar hasOwn = require('../internals/has-own-property');\nvar toIndexedObject = require('../internals/to-indexed-object');\nvar indexOf = require('../internals/array-includes').indexOf;\nvar hiddenKeys = require('../internals/hidden-keys');\n\nvar push = uncurryThis([].push);\n\nmodule.exports = function (object, names) {\n  var O = toIndexedObject(object);\n  var i = 0;\n  var result = [];\n  var key;\n  for (key in O) !hasOwn(hiddenKeys, key) && hasOwn(O, key) && push(result, key);\n  // Don't enum bug & hidden keys\n  while (names.length > i) if (hasOwn(O, key = names[i++])) {\n    ~indexOf(result, key) || push(result, key);\n  }\n  return result;\n};\n","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./VTour.vue?vue&type=style&index=0&id=35bb4ede&prod&lang=scss\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"eb45cd0c\", content, shadowRoot)\n};","export * from \"-!../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./w2pPintura.vue?vue&type=style&index=1&id=07faefe4&prod&lang=scss\"","'use strict';\nvar uncurryThis = require('../internals/function-uncurry-this');\n\n// eslint-disable-next-line es/no-set -- safe\nvar SetPrototype = Set.prototype;\n\nmodule.exports = {\n  // eslint-disable-next-line es/no-set -- safe\n  Set: Set,\n  add: uncurryThis(SetPrototype.add),\n  has: uncurryThis(SetPrototype.has),\n  remove: uncurryThis(SetPrototype['delete']),\n  proto: SetPrototype\n};\n","'use strict';\nvar isCallable = require('../internals/is-callable');\nvar definePropertyModule = require('../internals/object-define-property');\nvar makeBuiltIn = require('../internals/make-built-in');\nvar defineGlobalProperty = require('../internals/define-global-property');\n\nmodule.exports = function (O, key, value, options) {\n  if (!options) options = {};\n  var simple = options.enumerable;\n  var name = options.name !== undefined ? options.name : key;\n  if (isCallable(value)) makeBuiltIn(value, name, options);\n  if (options.global) {\n    if (simple) O[key] = value;\n    else defineGlobalProperty(key, value);\n  } else {\n    try {\n      if (!options.unsafe) delete O[key];\n      else if (O[key]) simple = true;\n    } catch (error) { /* empty */ }\n    if (simple) O[key] = value;\n    else definePropertyModule.f(O, key, {\n      value: value,\n      enumerable: false,\n      configurable: !options.nonConfigurable,\n      writable: !options.nonWritable\n    });\n  } return O;\n};\n","export * from \"-!../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./SmallDetailsLogoOnly.vue?vue&type=style&index=0&id=1e6bc25b&prod&lang=scss\"","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PreviewPdf.vue?vue&type=style&index=0&id=645d9dc8&prod&scoped=true&lang=scss\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"9100b1fc\", content, shadowRoot)\n};","'use strict';\nvar global = require('../internals/global');\nvar isObject = require('../internals/is-object');\n\nvar document = global.document;\n// typeof document.createElement is 'object' in old IE\nvar EXISTS = isObject(document) && isObject(document.createElement);\n\nmodule.exports = function (it) {\n  return EXISTS ? document.createElement(it) : {};\n};\n","module.exports = \"data:image/png;base64,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\"","/**\n * Copyright IBM Corp. 2019, 2023\n *\n * This source code is licensed under the Apache-2.0 license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * Code generated by @carbon/icon-build-helpers. DO NOT EDIT.\n */\nimport { c as createSVGComponent } from '../utils-9450cd75.js';\nimport '@carbon/icon-helpers';\nimport 'vue';\n\nconst TextCreation16 = createSVGComponent('TextCreation16', {\n  \"xmlns\": \"http://www.w3.org/2000/svg\",\n  \"viewBox\": \"0 0 32 32\",\n  \"fill\": \"currentColor\",\n  \"width\": 16,\n  \"height\": 16\n}, [{\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M27,22.14V9.86A4,4,0,1,0,22.14,5H9.86A4,4,0,1,0,5,9.86V22.14A4,4,0,1,0,9.86,27H22.14A4,4,0,1,0,27,22.14ZM26,4a2,2,0,1,1-2,2A2,2,0,0,1,26,4ZM4,6A2,2,0,1,1,6,8,2,2,0,0,1,4,6ZM6,28a2,2,0,1,1,2-2A2,2,0,0,1,6,28Zm16.14-3H9.86A4,4,0,0,0,7,22.14V9.86A4,4,0,0,0,9.86,7H22.14A4,4,0,0,0,25,9.86V22.14A4,4,0,0,0,22.14,25ZM26,28a2,2,0,1,1,2-2A2,2,0,0,1,26,28Z\"\n  }\n}, {\n  \"elem\": \"path\",\n  \"attrs\": {\n    \"d\": \"M21 11L11 11 11 13 15 13 15 22 17 22 17 13 21 13 21 11z\"\n  }\n}]);\n\nexport { TextCreation16 as default };\n","/**\n * lodash (Custom Build) <https://lodash.com/>\n * Build: `lodash modularize exports=\"npm\" -o ./`\n * Copyright jQuery Foundation and other contributors <https://jquery.org/>\n * Released under MIT license <https://lodash.com/license>\n * Based on Underscore.js 1.8.3 <http://underscorejs.org/LICENSE>\n * Copyright Jeremy Ashkenas, DocumentCloud and Investigative Reporters & Editors\n */\n\n/** Used as the size to enable large array optimizations. */\nvar LARGE_ARRAY_SIZE = 200;\n\n/** Used to stand-in for `undefined` hash values. */\nvar HASH_UNDEFINED = '__lodash_hash_undefined__';\n\n/** Used as references for various `Number` constants. */\nvar MAX_SAFE_INTEGER = 9007199254740991;\n\n/** `Object#toString` result references. */\nvar argsTag = '[object Arguments]',\n    arrayTag = '[object Array]',\n    boolTag = '[object Boolean]',\n    dateTag = '[object Date]',\n    errorTag = '[object Error]',\n    funcTag = '[object Function]',\n    genTag = '[object GeneratorFunction]',\n    mapTag = '[object Map]',\n    numberTag = '[object Number]',\n    objectTag = '[object Object]',\n    promiseTag = '[object Promise]',\n    regexpTag = '[object RegExp]',\n    setTag = '[object Set]',\n    stringTag = '[object String]',\n    symbolTag = '[object Symbol]',\n    weakMapTag = '[object WeakMap]';\n\nvar arrayBufferTag = '[object ArrayBuffer]',\n    dataViewTag = '[object DataView]',\n    float32Tag = '[object Float32Array]',\n    float64Tag = '[object Float64Array]',\n    int8Tag = '[object Int8Array]',\n    int16Tag = '[object Int16Array]',\n    int32Tag = '[object Int32Array]',\n    uint8Tag = '[object Uint8Array]',\n    uint8ClampedTag = '[object Uint8ClampedArray]',\n    uint16Tag = '[object Uint16Array]',\n    uint32Tag = '[object Uint32Array]';\n\n/**\n * Used to match `RegExp`\n * [syntax characters](http://ecma-international.org/ecma-262/7.0/#sec-patterns).\n */\nvar reRegExpChar = /[\\\\^$.*+?()[\\]{}|]/g;\n\n/** Used to match `RegExp` flags from their coerced string values. */\nvar reFlags = /\\w*$/;\n\n/** Used to detect host constructors (Safari). */\nvar reIsHostCtor = /^\\[object .+?Constructor\\]$/;\n\n/** Used to detect unsigned integer values. */\nvar reIsUint = /^(?:0|[1-9]\\d*)$/;\n\n/** Used to identify `toStringTag` values supported by `_.clone`. */\nvar cloneableTags = {};\ncloneableTags[argsTag] = cloneableTags[arrayTag] =\ncloneableTags[arrayBufferTag] = cloneableTags[dataViewTag] =\ncloneableTags[boolTag] = cloneableTags[dateTag] =\ncloneableTags[float32Tag] = cloneableTags[float64Tag] =\ncloneableTags[int8Tag] = cloneableTags[int16Tag] =\ncloneableTags[int32Tag] = cloneableTags[mapTag] =\ncloneableTags[numberTag] = cloneableTags[objectTag] =\ncloneableTags[regexpTag] = cloneableTags[setTag] =\ncloneableTags[stringTag] = cloneableTags[symbolTag] =\ncloneableTags[uint8Tag] = cloneableTags[uint8ClampedTag] =\ncloneableTags[uint16Tag] = cloneableTags[uint32Tag] = true;\ncloneableTags[errorTag] = cloneableTags[funcTag] =\ncloneableTags[weakMapTag] = false;\n\n/** Detect free variable `global` from Node.js. */\nvar freeGlobal = typeof global == 'object' && global && global.Object === Object && global;\n\n/** Detect free variable `self`. */\nvar freeSelf = typeof self == 'object' && self && self.Object === Object && self;\n\n/** Used as a reference to the global object. */\nvar root = freeGlobal || freeSelf || Function('return this')();\n\n/** Detect free variable `exports`. */\nvar freeExports = typeof exports == 'object' && exports && !exports.nodeType && exports;\n\n/** Detect free variable `module`. */\nvar freeModule = freeExports && typeof module == 'object' && module && !module.nodeType && module;\n\n/** Detect the popular CommonJS extension `module.exports`. */\nvar moduleExports = freeModule && freeModule.exports === freeExports;\n\n/**\n * Adds the key-value `pair` to `map`.\n *\n * @private\n * @param {Object} map The map to modify.\n * @param {Array} pair The key-value pair to add.\n * @returns {Object} Returns `map`.\n */\nfunction addMapEntry(map, pair) {\n  // Don't return `map.set` because it's not chainable in IE 11.\n  map.set(pair[0], pair[1]);\n  return map;\n}\n\n/**\n * Adds `value` to `set`.\n *\n * @private\n * @param {Object} set The set to modify.\n * @param {*} value The value to add.\n * @returns {Object} Returns `set`.\n */\nfunction addSetEntry(set, value) {\n  // Don't return `set.add` because it's not chainable in IE 11.\n  set.add(value);\n  return set;\n}\n\n/**\n * A specialized version of `_.forEach` for arrays without support for\n * iteratee shorthands.\n *\n * @private\n * @param {Array} [array] The array to iterate over.\n * @param {Function} iteratee The function invoked per iteration.\n * @returns {Array} Returns `array`.\n */\nfunction arrayEach(array, iteratee) {\n  var index = -1,\n      length = array ? array.length : 0;\n\n  while (++index < length) {\n    if (iteratee(array[index], index, array) === false) {\n      break;\n    }\n  }\n  return array;\n}\n\n/**\n * Appends the elements of `values` to `array`.\n *\n * @private\n * @param {Array} array The array to modify.\n * @param {Array} values The values to append.\n * @returns {Array} Returns `array`.\n */\nfunction arrayPush(array, values) {\n  var index = -1,\n      length = values.length,\n      offset = array.length;\n\n  while (++index < length) {\n    array[offset + index] = values[index];\n  }\n  return array;\n}\n\n/**\n * A specialized version of `_.reduce` for arrays without support for\n * iteratee shorthands.\n *\n * @private\n * @param {Array} [array] The array to iterate over.\n * @param {Function} iteratee The function invoked per iteration.\n * @param {*} [accumulator] The initial value.\n * @param {boolean} [initAccum] Specify using the first element of `array` as\n *  the initial value.\n * @returns {*} Returns the accumulated value.\n */\nfunction arrayReduce(array, iteratee, accumulator, initAccum) {\n  var index = -1,\n      length = array ? array.length : 0;\n\n  if (initAccum && length) {\n    accumulator = array[++index];\n  }\n  while (++index < length) {\n    accumulator = iteratee(accumulator, array[index], index, array);\n  }\n  return accumulator;\n}\n\n/**\n * The base implementation of `_.times` without support for iteratee shorthands\n * or max array length checks.\n *\n * @private\n * @param {number} n The number of times to invoke `iteratee`.\n * @param {Function} iteratee The function invoked per iteration.\n * @returns {Array} Returns the array of results.\n */\nfunction baseTimes(n, iteratee) {\n  var index = -1,\n      result = Array(n);\n\n  while (++index < n) {\n    result[index] = iteratee(index);\n  }\n  return result;\n}\n\n/**\n * Gets the value at `key` of `object`.\n *\n * @private\n * @param {Object} [object] The object to query.\n * @param {string} key The key of the property to get.\n * @returns {*} Returns the property value.\n */\nfunction getValue(object, key) {\n  return object == null ? undefined : object[key];\n}\n\n/**\n * Checks if `value` is a host object in IE < 9.\n *\n * @private\n * @param {*} value The value to check.\n * @returns {boolean} Returns `true` if `value` is a host object, else `false`.\n */\nfunction isHostObject(value) {\n  // Many host objects are `Object` objects that can coerce to strings\n  // despite having improperly defined `toString` methods.\n  var result = false;\n  if (value != null && typeof value.toString != 'function') {\n    try {\n      result = !!(value + '');\n    } catch (e) {}\n  }\n  return result;\n}\n\n/**\n * Converts `map` to its key-value pairs.\n *\n * @private\n * @param {Object} map The map to convert.\n * @returns {Array} Returns the key-value pairs.\n */\nfunction mapToArray(map) {\n  var index = -1,\n      result = Array(map.size);\n\n  map.forEach(function(value, key) {\n    result[++index] = [key, value];\n  });\n  return result;\n}\n\n/**\n * Creates a unary function that invokes `func` with its argument transformed.\n *\n * @private\n * @param {Function} func The function to wrap.\n * @param {Function} transform The argument transform.\n * @returns {Function} Returns the new function.\n */\nfunction overArg(func, transform) {\n  return function(arg) {\n    return func(transform(arg));\n  };\n}\n\n/**\n * Converts `set` to an array of its values.\n *\n * @private\n * @param {Object} set The set to convert.\n * @returns {Array} Returns the values.\n */\nfunction setToArray(set) {\n  var index = -1,\n      result = Array(set.size);\n\n  set.forEach(function(value) {\n    result[++index] = value;\n  });\n  return result;\n}\n\n/** Used for built-in method references. */\nvar arrayProto = Array.prototype,\n    funcProto = Function.prototype,\n    objectProto = Object.prototype;\n\n/** Used to detect overreaching core-js shims. */\nvar coreJsData = root['__core-js_shared__'];\n\n/** Used to detect methods masquerading as native. */\nvar maskSrcKey = (function() {\n  var uid = /[^.]+$/.exec(coreJsData && coreJsData.keys && coreJsData.keys.IE_PROTO || '');\n  return uid ? ('Symbol(src)_1.' + uid) : '';\n}());\n\n/** Used to resolve the decompiled source of functions. */\nvar funcToString = funcProto.toString;\n\n/** Used to check objects for own properties. */\nvar hasOwnProperty = objectProto.hasOwnProperty;\n\n/**\n * Used to resolve the\n * [`toStringTag`](http://ecma-international.org/ecma-262/7.0/#sec-object.prototype.tostring)\n * of values.\n */\nvar objectToString = objectProto.toString;\n\n/** Used to detect if a method is native. */\nvar reIsNative = RegExp('^' +\n  funcToString.call(hasOwnProperty).replace(reRegExpChar, '\\\\$&')\n  .replace(/hasOwnProperty|(function).*?(?=\\\\\\()| for .+?(?=\\\\\\])/g, '$1.*?') + '$'\n);\n\n/** Built-in value references. */\nvar Buffer = moduleExports ? root.Buffer : undefined,\n    Symbol = root.Symbol,\n    Uint8Array = root.Uint8Array,\n    getPrototype = overArg(Object.getPrototypeOf, Object),\n    objectCreate = Object.create,\n    propertyIsEnumerable = objectProto.propertyIsEnumerable,\n    splice = arrayProto.splice;\n\n/* Built-in method references for those with the same name as other `lodash` methods. */\nvar nativeGetSymbols = Object.getOwnPropertySymbols,\n    nativeIsBuffer = Buffer ? Buffer.isBuffer : undefined,\n    nativeKeys = overArg(Object.keys, Object);\n\n/* Built-in method references that are verified to be native. */\nvar DataView = getNative(root, 'DataView'),\n    Map = getNative(root, 'Map'),\n    Promise = getNative(root, 'Promise'),\n    Set = getNative(root, 'Set'),\n    WeakMap = getNative(root, 'WeakMap'),\n    nativeCreate = getNative(Object, 'create');\n\n/** Used to detect maps, sets, and weakmaps. */\nvar dataViewCtorString = toSource(DataView),\n    mapCtorString = toSource(Map),\n    promiseCtorString = toSource(Promise),\n    setCtorString = toSource(Set),\n    weakMapCtorString = toSource(WeakMap);\n\n/** Used to convert symbols to primitives and strings. */\nvar symbolProto = Symbol ? Symbol.prototype : undefined,\n    symbolValueOf = symbolProto ? symbolProto.valueOf : undefined;\n\n/**\n * Creates a hash object.\n *\n * @private\n * @constructor\n * @param {Array} [entries] The key-value pairs to cache.\n */\nfunction Hash(entries) {\n  var index = -1,\n      length = entries ? entries.length : 0;\n\n  this.clear();\n  while (++index < length) {\n    var entry = entries[index];\n    this.set(entry[0], entry[1]);\n  }\n}\n\n/**\n * Removes all key-value entries from the hash.\n *\n * @private\n * @name clear\n * @memberOf Hash\n */\nfunction hashClear() {\n  this.__data__ = nativeCreate ? nativeCreate(null) : {};\n}\n\n/**\n * Removes `key` and its value from the hash.\n *\n * @private\n * @name delete\n * @memberOf Hash\n * @param {Object} hash The hash to modify.\n * @param {string} key The key of the value to remove.\n * @returns {boolean} Returns `true` if the entry was removed, else `false`.\n */\nfunction hashDelete(key) {\n  return this.has(key) && delete this.__data__[key];\n}\n\n/**\n * Gets the hash value for `key`.\n *\n * @private\n * @name get\n * @memberOf Hash\n * @param {string} key The key of the value to get.\n * @returns {*} Returns the entry value.\n */\nfunction hashGet(key) {\n  var data = this.__data__;\n  if (nativeCreate) {\n    var result = data[key];\n    return result === HASH_UNDEFINED ? undefined : result;\n  }\n  return hasOwnProperty.call(data, key) ? data[key] : undefined;\n}\n\n/**\n * Checks if a hash value for `key` exists.\n *\n * @private\n * @name has\n * @memberOf Hash\n * @param {string} key The key of the entry to check.\n * @returns {boolean} Returns `true` if an entry for `key` exists, else `false`.\n */\nfunction hashHas(key) {\n  var data = this.__data__;\n  return nativeCreate ? data[key] !== undefined : hasOwnProperty.call(data, key);\n}\n\n/**\n * Sets the hash `key` to `value`.\n *\n * @private\n * @name set\n * @memberOf Hash\n * @param {string} key The key of the value to set.\n * @param {*} value The value to set.\n * @returns {Object} Returns the hash instance.\n */\nfunction hashSet(key, value) {\n  var data = this.__data__;\n  data[key] = (nativeCreate && value === undefined) ? HASH_UNDEFINED : value;\n  return this;\n}\n\n// Add methods to `Hash`.\nHash.prototype.clear = hashClear;\nHash.prototype['delete'] = hashDelete;\nHash.prototype.get = hashGet;\nHash.prototype.has = hashHas;\nHash.prototype.set = hashSet;\n\n/**\n * Creates an list cache object.\n *\n * @private\n * @constructor\n * @param {Array} [entries] The key-value pairs to cache.\n */\nfunction ListCache(entries) {\n  var index = -1,\n      length = entries ? entries.length : 0;\n\n  this.clear();\n  while (++index < length) {\n    var entry = entries[index];\n    this.set(entry[0], entry[1]);\n  }\n}\n\n/**\n * Removes all key-value entries from the list cache.\n *\n * @private\n * @name clear\n * @memberOf ListCache\n */\nfunction listCacheClear() {\n  this.__data__ = [];\n}\n\n/**\n * Removes `key` and its value from the list cache.\n *\n * @private\n * @name delete\n * @memberOf ListCache\n * @param {string} key The key of the value to remove.\n * @returns {boolean} Returns `true` if the entry was removed, else `false`.\n */\nfunction listCacheDelete(key) {\n  var data = this.__data__,\n      index = assocIndexOf(data, key);\n\n  if (index < 0) {\n    return false;\n  }\n  var lastIndex = data.length - 1;\n  if (index == lastIndex) {\n    data.pop();\n  } else {\n    splice.call(data, index, 1);\n  }\n  return true;\n}\n\n/**\n * Gets the list cache value for `key`.\n *\n * @private\n * @name get\n * @memberOf ListCache\n * @param {string} key The key of the value to get.\n * @returns {*} Returns the entry value.\n */\nfunction listCacheGet(key) {\n  var data = this.__data__,\n      index = assocIndexOf(data, key);\n\n  return index < 0 ? undefined : data[index][1];\n}\n\n/**\n * Checks if a list cache value for `key` exists.\n *\n * @private\n * @name has\n * @memberOf ListCache\n * @param {string} key The key of the entry to check.\n * @returns {boolean} Returns `true` if an entry for `key` exists, else `false`.\n */\nfunction listCacheHas(key) {\n  return assocIndexOf(this.__data__, key) > -1;\n}\n\n/**\n * Sets the list cache `key` to `value`.\n *\n * @private\n * @name set\n * @memberOf ListCache\n * @param {string} key The key of the value to set.\n * @param {*} value The value to set.\n * @returns {Object} Returns the list cache instance.\n */\nfunction listCacheSet(key, value) {\n  var data = this.__data__,\n      index = assocIndexOf(data, key);\n\n  if (index < 0) {\n    data.push([key, value]);\n  } else {\n    data[index][1] = value;\n  }\n  return this;\n}\n\n// Add methods to `ListCache`.\nListCache.prototype.clear = listCacheClear;\nListCache.prototype['delete'] = listCacheDelete;\nListCache.prototype.get = listCacheGet;\nListCache.prototype.has = listCacheHas;\nListCache.prototype.set = listCacheSet;\n\n/**\n * Creates a map cache object to store key-value pairs.\n *\n * @private\n * @constructor\n * @param {Array} [entries] The key-value pairs to cache.\n */\nfunction MapCache(entries) {\n  var index = -1,\n      length = entries ? entries.length : 0;\n\n  this.clear();\n  while (++index < length) {\n    var entry = entries[index];\n    this.set(entry[0], entry[1]);\n  }\n}\n\n/**\n * Removes all key-value entries from the map.\n *\n * @private\n * @name clear\n * @memberOf MapCache\n */\nfunction mapCacheClear() {\n  this.__data__ = {\n    'hash': new Hash,\n    'map': new (Map || ListCache),\n    'string': new Hash\n  };\n}\n\n/**\n * Removes `key` and its value from the map.\n *\n * @private\n * @name delete\n * @memberOf MapCache\n * @param {string} key The key of the value to remove.\n * @returns {boolean} Returns `true` if the entry was removed, else `false`.\n */\nfunction mapCacheDelete(key) {\n  return getMapData(this, key)['delete'](key);\n}\n\n/**\n * Gets the map value for `key`.\n *\n * @private\n * @name get\n * @memberOf MapCache\n * @param {string} key The key of the value to get.\n * @returns {*} Returns the entry value.\n */\nfunction mapCacheGet(key) {\n  return getMapData(this, key).get(key);\n}\n\n/**\n * Checks if a map value for `key` exists.\n *\n * @private\n * @name has\n * @memberOf MapCache\n * @param {string} key The key of the entry to check.\n * @returns {boolean} Returns `true` if an entry for `key` exists, else `false`.\n */\nfunction mapCacheHas(key) {\n  return getMapData(this, key).has(key);\n}\n\n/**\n * Sets the map `key` to `value`.\n *\n * @private\n * @name set\n * @memberOf MapCache\n * @param {string} key The key of the value to set.\n * @param {*} value The value to set.\n * @returns {Object} Returns the map cache instance.\n */\nfunction mapCacheSet(key, value) {\n  getMapData(this, key).set(key, value);\n  return this;\n}\n\n// Add methods to `MapCache`.\nMapCache.prototype.clear = mapCacheClear;\nMapCache.prototype['delete'] = mapCacheDelete;\nMapCache.prototype.get = mapCacheGet;\nMapCache.prototype.has = mapCacheHas;\nMapCache.prototype.set = mapCacheSet;\n\n/**\n * Creates a stack cache object to store key-value pairs.\n *\n * @private\n * @constructor\n * @param {Array} [entries] The key-value pairs to cache.\n */\nfunction Stack(entries) {\n  this.__data__ = new ListCache(entries);\n}\n\n/**\n * Removes all key-value entries from the stack.\n *\n * @private\n * @name clear\n * @memberOf Stack\n */\nfunction stackClear() {\n  this.__data__ = new ListCache;\n}\n\n/**\n * Removes `key` and its value from the stack.\n *\n * @private\n * @name delete\n * @memberOf Stack\n * @param {string} key The key of the value to remove.\n * @returns {boolean} Returns `true` if the entry was removed, else `false`.\n */\nfunction stackDelete(key) {\n  return this.__data__['delete'](key);\n}\n\n/**\n * Gets the stack value for `key`.\n *\n * @private\n * @name get\n * @memberOf Stack\n * @param {string} key The key of the value to get.\n * @returns {*} Returns the entry value.\n */\nfunction stackGet(key) {\n  return this.__data__.get(key);\n}\n\n/**\n * Checks if a stack value for `key` exists.\n *\n * @private\n * @name has\n * @memberOf Stack\n * @param {string} key The key of the entry to check.\n * @returns {boolean} Returns `true` if an entry for `key` exists, else `false`.\n */\nfunction stackHas(key) {\n  return this.__data__.has(key);\n}\n\n/**\n * Sets the stack `key` to `value`.\n *\n * @private\n * @name set\n * @memberOf Stack\n * @param {string} key The key of the value to set.\n * @param {*} value The value to set.\n * @returns {Object} Returns the stack cache instance.\n */\nfunction stackSet(key, value) {\n  var cache = this.__data__;\n  if (cache instanceof ListCache) {\n    var pairs = cache.__data__;\n    if (!Map || (pairs.length < LARGE_ARRAY_SIZE - 1)) {\n      pairs.push([key, value]);\n      return this;\n    }\n    cache = this.__data__ = new MapCache(pairs);\n  }\n  cache.set(key, value);\n  return this;\n}\n\n// Add methods to `Stack`.\nStack.prototype.clear = stackClear;\nStack.prototype['delete'] = stackDelete;\nStack.prototype.get = stackGet;\nStack.prototype.has = stackHas;\nStack.prototype.set = stackSet;\n\n/**\n * Creates an array of the enumerable property names of the array-like `value`.\n *\n * @private\n * @param {*} value The value to query.\n * @param {boolean} inherited Specify returning inherited property names.\n * @returns {Array} Returns the array of property names.\n */\nfunction arrayLikeKeys(value, inherited) {\n  // Safari 8.1 makes `arguments.callee` enumerable in strict mode.\n  // Safari 9 makes `arguments.length` enumerable in strict mode.\n  var result = (isArray(value) || isArguments(value))\n    ? baseTimes(value.length, String)\n    : [];\n\n  var length = result.length,\n      skipIndexes = !!length;\n\n  for (var key in value) {\n    if ((inherited || hasOwnProperty.call(value, key)) &&\n        !(skipIndexes && (key == 'length' || isIndex(key, length)))) {\n      result.push(key);\n    }\n  }\n  return result;\n}\n\n/**\n * Assigns `value` to `key` of `object` if the existing value is not equivalent\n * using [`SameValueZero`](http://ecma-international.org/ecma-262/7.0/#sec-samevaluezero)\n * for equality comparisons.\n *\n * @private\n * @param {Object} object The object to modify.\n * @param {string} key The key of the property to assign.\n * @param {*} value The value to assign.\n */\nfunction assignValue(object, key, value) {\n  var objValue = object[key];\n  if (!(hasOwnProperty.call(object, key) && eq(objValue, value)) ||\n      (value === undefined && !(key in object))) {\n    object[key] = value;\n  }\n}\n\n/**\n * Gets the index at which the `key` is found in `array` of key-value pairs.\n *\n * @private\n * @param {Array} array The array to inspect.\n * @param {*} key The key to search for.\n * @returns {number} Returns the index of the matched value, else `-1`.\n */\nfunction assocIndexOf(array, key) {\n  var length = array.length;\n  while (length--) {\n    if (eq(array[length][0], key)) {\n      return length;\n    }\n  }\n  return -1;\n}\n\n/**\n * The base implementation of `_.assign` without support for multiple sources\n * or `customizer` functions.\n *\n * @private\n * @param {Object} object The destination object.\n * @param {Object} source The source object.\n * @returns {Object} Returns `object`.\n */\nfunction baseAssign(object, source) {\n  return object && copyObject(source, keys(source), object);\n}\n\n/**\n * The base implementation of `_.clone` and `_.cloneDeep` which tracks\n * traversed objects.\n *\n * @private\n * @param {*} value The value to clone.\n * @param {boolean} [isDeep] Specify a deep clone.\n * @param {boolean} [isFull] Specify a clone including symbols.\n * @param {Function} [customizer] The function to customize cloning.\n * @param {string} [key] The key of `value`.\n * @param {Object} [object] The parent object of `value`.\n * @param {Object} [stack] Tracks traversed objects and their clone counterparts.\n * @returns {*} Returns the cloned value.\n */\nfunction baseClone(value, isDeep, isFull, customizer, key, object, stack) {\n  var result;\n  if (customizer) {\n    result = object ? customizer(value, key, object, stack) : customizer(value);\n  }\n  if (result !== undefined) {\n    return result;\n  }\n  if (!isObject(value)) {\n    return value;\n  }\n  var isArr = isArray(value);\n  if (isArr) {\n    result = initCloneArray(value);\n    if (!isDeep) {\n      return copyArray(value, result);\n    }\n  } else {\n    var tag = getTag(value),\n        isFunc = tag == funcTag || tag == genTag;\n\n    if (isBuffer(value)) {\n      return cloneBuffer(value, isDeep);\n    }\n    if (tag == objectTag || tag == argsTag || (isFunc && !object)) {\n      if (isHostObject(value)) {\n        return object ? value : {};\n      }\n      result = initCloneObject(isFunc ? {} : value);\n      if (!isDeep) {\n        return copySymbols(value, baseAssign(result, value));\n      }\n    } else {\n      if (!cloneableTags[tag]) {\n        return object ? value : {};\n      }\n      result = initCloneByTag(value, tag, baseClone, isDeep);\n    }\n  }\n  // Check for circular references and return its corresponding clone.\n  stack || (stack = new Stack);\n  var stacked = stack.get(value);\n  if (stacked) {\n    return stacked;\n  }\n  stack.set(value, result);\n\n  if (!isArr) {\n    var props = isFull ? getAllKeys(value) : keys(value);\n  }\n  arrayEach(props || value, function(subValue, key) {\n    if (props) {\n      key = subValue;\n      subValue = value[key];\n    }\n    // Recursively populate clone (susceptible to call stack limits).\n    assignValue(result, key, baseClone(subValue, isDeep, isFull, customizer, key, value, stack));\n  });\n  return result;\n}\n\n/**\n * The base implementation of `_.create` without support for assigning\n * properties to the created object.\n *\n * @private\n * @param {Object} prototype The object to inherit from.\n * @returns {Object} Returns the new object.\n */\nfunction baseCreate(proto) {\n  return isObject(proto) ? objectCreate(proto) : {};\n}\n\n/**\n * The base implementation of `getAllKeys` and `getAllKeysIn` which uses\n * `keysFunc` and `symbolsFunc` to get the enumerable property names and\n * symbols of `object`.\n *\n * @private\n * @param {Object} object The object to query.\n * @param {Function} keysFunc The function to get the keys of `object`.\n * @param {Function} symbolsFunc The function to get the symbols of `object`.\n * @returns {Array} Returns the array of property names and symbols.\n */\nfunction baseGetAllKeys(object, keysFunc, symbolsFunc) {\n  var result = keysFunc(object);\n  return isArray(object) ? result : arrayPush(result, symbolsFunc(object));\n}\n\n/**\n * The base implementation of `getTag`.\n *\n * @private\n * @param {*} value The value to query.\n * @returns {string} Returns the `toStringTag`.\n */\nfunction baseGetTag(value) {\n  return objectToString.call(value);\n}\n\n/**\n * The base implementation of `_.isNative` without bad shim checks.\n *\n * @private\n * @param {*} value The value to check.\n * @returns {boolean} Returns `true` if `value` is a native function,\n *  else `false`.\n */\nfunction baseIsNative(value) {\n  if (!isObject(value) || isMasked(value)) {\n    return false;\n  }\n  var pattern = (isFunction(value) || isHostObject(value)) ? reIsNative : reIsHostCtor;\n  return pattern.test(toSource(value));\n}\n\n/**\n * The base implementation of `_.keys` which doesn't treat sparse arrays as dense.\n *\n * @private\n * @param {Object} object The object to query.\n * @returns {Array} Returns the array of property names.\n */\nfunction baseKeys(object) {\n  if (!isPrototype(object)) {\n    return nativeKeys(object);\n  }\n  var result = [];\n  for (var key in Object(object)) {\n    if (hasOwnProperty.call(object, key) && key != 'constructor') {\n      result.push(key);\n    }\n  }\n  return result;\n}\n\n/**\n * Creates a clone of  `buffer`.\n *\n * @private\n * @param {Buffer} buffer The buffer to clone.\n * @param {boolean} [isDeep] Specify a deep clone.\n * @returns {Buffer} Returns the cloned buffer.\n */\nfunction cloneBuffer(buffer, isDeep) {\n  if (isDeep) {\n    return buffer.slice();\n  }\n  var result = new buffer.constructor(buffer.length);\n  buffer.copy(result);\n  return result;\n}\n\n/**\n * Creates a clone of `arrayBuffer`.\n *\n * @private\n * @param {ArrayBuffer} arrayBuffer The array buffer to clone.\n * @returns {ArrayBuffer} Returns the cloned array buffer.\n */\nfunction cloneArrayBuffer(arrayBuffer) {\n  var result = new arrayBuffer.constructor(arrayBuffer.byteLength);\n  new Uint8Array(result).set(new Uint8Array(arrayBuffer));\n  return result;\n}\n\n/**\n * Creates a clone of `dataView`.\n *\n * @private\n * @param {Object} dataView The data view to clone.\n * @param {boolean} [isDeep] Specify a deep clone.\n * @returns {Object} Returns the cloned data view.\n */\nfunction cloneDataView(dataView, isDeep) {\n  var buffer = isDeep ? cloneArrayBuffer(dataView.buffer) : dataView.buffer;\n  return new dataView.constructor(buffer, dataView.byteOffset, dataView.byteLength);\n}\n\n/**\n * Creates a clone of `map`.\n *\n * @private\n * @param {Object} map The map to clone.\n * @param {Function} cloneFunc The function to clone values.\n * @param {boolean} [isDeep] Specify a deep clone.\n * @returns {Object} Returns the cloned map.\n */\nfunction cloneMap(map, isDeep, cloneFunc) {\n  var array = isDeep ? cloneFunc(mapToArray(map), true) : mapToArray(map);\n  return arrayReduce(array, addMapEntry, new map.constructor);\n}\n\n/**\n * Creates a clone of `regexp`.\n *\n * @private\n * @param {Object} regexp The regexp to clone.\n * @returns {Object} Returns the cloned regexp.\n */\nfunction cloneRegExp(regexp) {\n  var result = new regexp.constructor(regexp.source, reFlags.exec(regexp));\n  result.lastIndex = regexp.lastIndex;\n  return result;\n}\n\n/**\n * Creates a clone of `set`.\n *\n * @private\n * @param {Object} set The set to clone.\n * @param {Function} cloneFunc The function to clone values.\n * @param {boolean} [isDeep] Specify a deep clone.\n * @returns {Object} Returns the cloned set.\n */\nfunction cloneSet(set, isDeep, cloneFunc) {\n  var array = isDeep ? cloneFunc(setToArray(set), true) : setToArray(set);\n  return arrayReduce(array, addSetEntry, new set.constructor);\n}\n\n/**\n * Creates a clone of the `symbol` object.\n *\n * @private\n * @param {Object} symbol The symbol object to clone.\n * @returns {Object} Returns the cloned symbol object.\n */\nfunction cloneSymbol(symbol) {\n  return symbolValueOf ? Object(symbolValueOf.call(symbol)) : {};\n}\n\n/**\n * Creates a clone of `typedArray`.\n *\n * @private\n * @param {Object} typedArray The typed array to clone.\n * @param {boolean} [isDeep] Specify a deep clone.\n * @returns {Object} Returns the cloned typed array.\n */\nfunction cloneTypedArray(typedArray, isDeep) {\n  var buffer = isDeep ? cloneArrayBuffer(typedArray.buffer) : typedArray.buffer;\n  return new typedArray.constructor(buffer, typedArray.byteOffset, typedArray.length);\n}\n\n/**\n * Copies the values of `source` to `array`.\n *\n * @private\n * @param {Array} source The array to copy values from.\n * @param {Array} [array=[]] The array to copy values to.\n * @returns {Array} Returns `array`.\n */\nfunction copyArray(source, array) {\n  var index = -1,\n      length = source.length;\n\n  array || (array = Array(length));\n  while (++index < length) {\n    array[index] = source[index];\n  }\n  return array;\n}\n\n/**\n * Copies properties of `source` to `object`.\n *\n * @private\n * @param {Object} source The object to copy properties from.\n * @param {Array} props The property identifiers to copy.\n * @param {Object} [object={}] The object to copy properties to.\n * @param {Function} [customizer] The function to customize copied values.\n * @returns {Object} Returns `object`.\n */\nfunction copyObject(source, props, object, customizer) {\n  object || (object = {});\n\n  var index = -1,\n      length = props.length;\n\n  while (++index < length) {\n    var key = props[index];\n\n    var newValue = customizer\n      ? customizer(object[key], source[key], key, object, source)\n      : undefined;\n\n    assignValue(object, key, newValue === undefined ? source[key] : newValue);\n  }\n  return object;\n}\n\n/**\n * Copies own symbol properties of `source` to `object`.\n *\n * @private\n * @param {Object} source The object to copy symbols from.\n * @param {Object} [object={}] The object to copy symbols to.\n * @returns {Object} Returns `object`.\n */\nfunction copySymbols(source, object) {\n  return copyObject(source, getSymbols(source), object);\n}\n\n/**\n * Creates an array of own enumerable property names and symbols of `object`.\n *\n * @private\n * @param {Object} object The object to query.\n * @returns {Array} Returns the array of property names and symbols.\n */\nfunction getAllKeys(object) {\n  return baseGetAllKeys(object, keys, getSymbols);\n}\n\n/**\n * Gets the data for `map`.\n *\n * @private\n * @param {Object} map The map to query.\n * @param {string} key The reference key.\n * @returns {*} Returns the map data.\n */\nfunction getMapData(map, key) {\n  var data = map.__data__;\n  return isKeyable(key)\n    ? data[typeof key == 'string' ? 'string' : 'hash']\n    : data.map;\n}\n\n/**\n * Gets the native function at `key` of `object`.\n *\n * @private\n * @param {Object} object The object to query.\n * @param {string} key The key of the method to get.\n * @returns {*} Returns the function if it's native, else `undefined`.\n */\nfunction getNative(object, key) {\n  var value = getValue(object, key);\n  return baseIsNative(value) ? value : undefined;\n}\n\n/**\n * Creates an array of the own enumerable symbol properties of `object`.\n *\n * @private\n * @param {Object} object The object to query.\n * @returns {Array} Returns the array of symbols.\n */\nvar getSymbols = nativeGetSymbols ? overArg(nativeGetSymbols, Object) : stubArray;\n\n/**\n * Gets the `toStringTag` of `value`.\n *\n * @private\n * @param {*} value The value to query.\n * @returns {string} Returns the `toStringTag`.\n */\nvar getTag = baseGetTag;\n\n// Fallback for data views, maps, sets, and weak maps in IE 11,\n// for data views in Edge < 14, and promises in Node.js.\nif ((DataView && getTag(new DataView(new ArrayBuffer(1))) != dataViewTag) ||\n    (Map && getTag(new Map) != mapTag) ||\n    (Promise && getTag(Promise.resolve()) != promiseTag) ||\n    (Set && getTag(new Set) != setTag) ||\n    (WeakMap && getTag(new WeakMap) != weakMapTag)) {\n  getTag = function(value) {\n    var result = objectToString.call(value),\n        Ctor = result == objectTag ? value.constructor : undefined,\n        ctorString = Ctor ? toSource(Ctor) : undefined;\n\n    if (ctorString) {\n      switch (ctorString) {\n        case dataViewCtorString: return dataViewTag;\n        case mapCtorString: return mapTag;\n        case promiseCtorString: return promiseTag;\n        case setCtorString: return setTag;\n        case weakMapCtorString: return weakMapTag;\n      }\n    }\n    return result;\n  };\n}\n\n/**\n * Initializes an array clone.\n *\n * @private\n * @param {Array} array The array to clone.\n * @returns {Array} Returns the initialized clone.\n */\nfunction initCloneArray(array) {\n  var length = array.length,\n      result = array.constructor(length);\n\n  // Add properties assigned by `RegExp#exec`.\n  if (length && typeof array[0] == 'string' && hasOwnProperty.call(array, 'index')) {\n    result.index = array.index;\n    result.input = array.input;\n  }\n  return result;\n}\n\n/**\n * Initializes an object clone.\n *\n * @private\n * @param {Object} object The object to clone.\n * @returns {Object} Returns the initialized clone.\n */\nfunction initCloneObject(object) {\n  return (typeof object.constructor == 'function' && !isPrototype(object))\n    ? baseCreate(getPrototype(object))\n    : {};\n}\n\n/**\n * Initializes an object clone based on its `toStringTag`.\n *\n * **Note:** This function only supports cloning values with tags of\n * `Boolean`, `Date`, `Error`, `Number`, `RegExp`, or `String`.\n *\n * @private\n * @param {Object} object The object to clone.\n * @param {string} tag The `toStringTag` of the object to clone.\n * @param {Function} cloneFunc The function to clone values.\n * @param {boolean} [isDeep] Specify a deep clone.\n * @returns {Object} Returns the initialized clone.\n */\nfunction initCloneByTag(object, tag, cloneFunc, isDeep) {\n  var Ctor = object.constructor;\n  switch (tag) {\n    case arrayBufferTag:\n      return cloneArrayBuffer(object);\n\n    case boolTag:\n    case dateTag:\n      return new Ctor(+object);\n\n    case dataViewTag:\n      return cloneDataView(object, isDeep);\n\n    case float32Tag: case float64Tag:\n    case int8Tag: case int16Tag: case int32Tag:\n    case uint8Tag: case uint8ClampedTag: case uint16Tag: case uint32Tag:\n      return cloneTypedArray(object, isDeep);\n\n    case mapTag:\n      return cloneMap(object, isDeep, cloneFunc);\n\n    case numberTag:\n    case stringTag:\n      return new Ctor(object);\n\n    case regexpTag:\n      return cloneRegExp(object);\n\n    case setTag:\n      return cloneSet(object, isDeep, cloneFunc);\n\n    case symbolTag:\n      return cloneSymbol(object);\n  }\n}\n\n/**\n * Checks if `value` is a valid array-like index.\n *\n * @private\n * @param {*} value The value to check.\n * @param {number} [length=MAX_SAFE_INTEGER] The upper bounds of a valid index.\n * @returns {boolean} Returns `true` if `value` is a valid index, else `false`.\n */\nfunction isIndex(value, length) {\n  length = length == null ? MAX_SAFE_INTEGER : length;\n  return !!length &&\n    (typeof value == 'number' || reIsUint.test(value)) &&\n    (value > -1 && value % 1 == 0 && value < length);\n}\n\n/**\n * Checks if `value` is suitable for use as unique object key.\n *\n * @private\n * @param {*} value The value to check.\n * @returns {boolean} Returns `true` if `value` is suitable, else `false`.\n */\nfunction isKeyable(value) {\n  var type = typeof value;\n  return (type == 'string' || type == 'number' || type == 'symbol' || type == 'boolean')\n    ? (value !== '__proto__')\n    : (value === null);\n}\n\n/**\n * Checks if `func` has its source masked.\n *\n * @private\n * @param {Function} func The function to check.\n * @returns {boolean} Returns `true` if `func` is masked, else `false`.\n */\nfunction isMasked(func) {\n  return !!maskSrcKey && (maskSrcKey in func);\n}\n\n/**\n * Checks if `value` is likely a prototype object.\n *\n * @private\n * @param {*} value The value to check.\n * @returns {boolean} Returns `true` if `value` is a prototype, else `false`.\n */\nfunction isPrototype(value) {\n  var Ctor = value && value.constructor,\n      proto = (typeof Ctor == 'function' && Ctor.prototype) || objectProto;\n\n  return value === proto;\n}\n\n/**\n * Converts `func` to its source code.\n *\n * @private\n * @param {Function} func The function to process.\n * @returns {string} Returns the source code.\n */\nfunction toSource(func) {\n  if (func != null) {\n    try {\n      return funcToString.call(func);\n    } catch (e) {}\n    try {\n      return (func + '');\n    } catch (e) {}\n  }\n  return '';\n}\n\n/**\n * This method is like `_.clone` except that it recursively clones `value`.\n *\n * @static\n * @memberOf _\n * @since 1.0.0\n * @category Lang\n * @param {*} value The value to recursively clone.\n * @returns {*} Returns the deep cloned value.\n * @see _.clone\n * @example\n *\n * var objects = [{ 'a': 1 }, { 'b': 2 }];\n *\n * var deep = _.cloneDeep(objects);\n * console.log(deep[0] === objects[0]);\n * // => false\n */\nfunction cloneDeep(value) {\n  return baseClone(value, true, true);\n}\n\n/**\n * Performs a\n * [`SameValueZero`](http://ecma-international.org/ecma-262/7.0/#sec-samevaluezero)\n * comparison between two values to determine if they are equivalent.\n *\n * @static\n * @memberOf _\n * @since 4.0.0\n * @category Lang\n * @param {*} value The value to compare.\n * @param {*} other The other value to compare.\n * @returns {boolean} Returns `true` if the values are equivalent, else `false`.\n * @example\n *\n * var object = { 'a': 1 };\n * var other = { 'a': 1 };\n *\n * _.eq(object, object);\n * // => true\n *\n * _.eq(object, other);\n * // => false\n *\n * _.eq('a', 'a');\n * // => true\n *\n * _.eq('a', Object('a'));\n * // => false\n *\n * _.eq(NaN, NaN);\n * // => true\n */\nfunction eq(value, other) {\n  return value === other || (value !== value && other !== other);\n}\n\n/**\n * Checks if `value` is likely an `arguments` object.\n *\n * @static\n * @memberOf _\n * @since 0.1.0\n * @category Lang\n * @param {*} value The value to check.\n * @returns {boolean} Returns `true` if `value` is an `arguments` object,\n *  else `false`.\n * @example\n *\n * _.isArguments(function() { return arguments; }());\n * // => true\n *\n * _.isArguments([1, 2, 3]);\n * // => false\n */\nfunction isArguments(value) {\n  // Safari 8.1 makes `arguments.callee` enumerable in strict mode.\n  return isArrayLikeObject(value) && hasOwnProperty.call(value, 'callee') &&\n    (!propertyIsEnumerable.call(value, 'callee') || objectToString.call(value) == argsTag);\n}\n\n/**\n * Checks if `value` is classified as an `Array` object.\n *\n * @static\n * @memberOf _\n * @since 0.1.0\n * @category Lang\n * @param {*} value The value to check.\n * @returns {boolean} Returns `true` if `value` is an array, else `false`.\n * @example\n *\n * _.isArray([1, 2, 3]);\n * // => true\n *\n * _.isArray(document.body.children);\n * // => false\n *\n * _.isArray('abc');\n * // => false\n *\n * _.isArray(_.noop);\n * // => false\n */\nvar isArray = Array.isArray;\n\n/**\n * Checks if `value` is array-like. A value is considered array-like if it's\n * not a function and has a `value.length` that's an integer greater than or\n * equal to `0` and less than or equal to `Number.MAX_SAFE_INTEGER`.\n *\n * @static\n * @memberOf _\n * @since 4.0.0\n * @category Lang\n * @param {*} value The value to check.\n * @returns {boolean} Returns `true` if `value` is array-like, else `false`.\n * @example\n *\n * _.isArrayLike([1, 2, 3]);\n * // => true\n *\n * _.isArrayLike(document.body.children);\n * // => true\n *\n * _.isArrayLike('abc');\n * // => true\n *\n * _.isArrayLike(_.noop);\n * // => false\n */\nfunction isArrayLike(value) {\n  return value != null && isLength(value.length) && !isFunction(value);\n}\n\n/**\n * This method is like `_.isArrayLike` except that it also checks if `value`\n * is an object.\n *\n * @static\n * @memberOf _\n * @since 4.0.0\n * @category Lang\n * @param {*} value The value to check.\n * @returns {boolean} Returns `true` if `value` is an array-like object,\n *  else `false`.\n * @example\n *\n * _.isArrayLikeObject([1, 2, 3]);\n * // => true\n *\n * _.isArrayLikeObject(document.body.children);\n * // => true\n *\n * _.isArrayLikeObject('abc');\n * // => false\n *\n * _.isArrayLikeObject(_.noop);\n * // => false\n */\nfunction isArrayLikeObject(value) {\n  return isObjectLike(value) && isArrayLike(value);\n}\n\n/**\n * Checks if `value` is a buffer.\n *\n * @static\n * @memberOf _\n * @since 4.3.0\n * @category Lang\n * @param {*} value The value to check.\n * @returns {boolean} Returns `true` if `value` is a buffer, else `false`.\n * @example\n *\n * _.isBuffer(new Buffer(2));\n * // => true\n *\n * _.isBuffer(new Uint8Array(2));\n * // => false\n */\nvar isBuffer = nativeIsBuffer || stubFalse;\n\n/**\n * Checks if `value` is classified as a `Function` object.\n *\n * @static\n * @memberOf _\n * @since 0.1.0\n * @category Lang\n * @param {*} value The value to check.\n * @returns {boolean} Returns `true` if `value` is a function, else `false`.\n * @example\n *\n * _.isFunction(_);\n * // => true\n *\n * _.isFunction(/abc/);\n * // => false\n */\nfunction isFunction(value) {\n  // The use of `Object#toString` avoids issues with the `typeof` operator\n  // in Safari 8-9 which returns 'object' for typed array and other constructors.\n  var tag = isObject(value) ? objectToString.call(value) : '';\n  return tag == funcTag || tag == genTag;\n}\n\n/**\n * Checks if `value` is a valid array-like length.\n *\n * **Note:** This method is loosely based on\n * [`ToLength`](http://ecma-international.org/ecma-262/7.0/#sec-tolength).\n *\n * @static\n * @memberOf _\n * @since 4.0.0\n * @category Lang\n * @param {*} value The value to check.\n * @returns {boolean} Returns `true` if `value` is a valid length, else `false`.\n * @example\n *\n * _.isLength(3);\n * // => true\n *\n * _.isLength(Number.MIN_VALUE);\n * // => false\n *\n * _.isLength(Infinity);\n * // => false\n *\n * _.isLength('3');\n * // => false\n */\nfunction isLength(value) {\n  return typeof value == 'number' &&\n    value > -1 && value % 1 == 0 && value <= MAX_SAFE_INTEGER;\n}\n\n/**\n * Checks if `value` is the\n * [language type](http://www.ecma-international.org/ecma-262/7.0/#sec-ecmascript-language-types)\n * of `Object`. (e.g. arrays, functions, objects, regexes, `new Number(0)`, and `new String('')`)\n *\n * @static\n * @memberOf _\n * @since 0.1.0\n * @category Lang\n * @param {*} value The value to check.\n * @returns {boolean} Returns `true` if `value` is an object, else `false`.\n * @example\n *\n * _.isObject({});\n * // => true\n *\n * _.isObject([1, 2, 3]);\n * // => true\n *\n * _.isObject(_.noop);\n * // => true\n *\n * _.isObject(null);\n * // => false\n */\nfunction isObject(value) {\n  var type = typeof value;\n  return !!value && (type == 'object' || type == 'function');\n}\n\n/**\n * Checks if `value` is object-like. A value is object-like if it's not `null`\n * and has a `typeof` result of \"object\".\n *\n * @static\n * @memberOf _\n * @since 4.0.0\n * @category Lang\n * @param {*} value The value to check.\n * @returns {boolean} Returns `true` if `value` is object-like, else `false`.\n * @example\n *\n * _.isObjectLike({});\n * // => true\n *\n * _.isObjectLike([1, 2, 3]);\n * // => true\n *\n * _.isObjectLike(_.noop);\n * // => false\n *\n * _.isObjectLike(null);\n * // => false\n */\nfunction isObjectLike(value) {\n  return !!value && typeof value == 'object';\n}\n\n/**\n * Creates an array of the own enumerable property names of `object`.\n *\n * **Note:** Non-object values are coerced to objects. See the\n * [ES spec](http://ecma-international.org/ecma-262/7.0/#sec-object.keys)\n * for more details.\n *\n * @static\n * @since 0.1.0\n * @memberOf _\n * @category Object\n * @param {Object} object The object to query.\n * @returns {Array} Returns the array of property names.\n * @example\n *\n * function Foo() {\n *   this.a = 1;\n *   this.b = 2;\n * }\n *\n * Foo.prototype.c = 3;\n *\n * _.keys(new Foo);\n * // => ['a', 'b'] (iteration order is not guaranteed)\n *\n * _.keys('hi');\n * // => ['0', '1']\n */\nfunction keys(object) {\n  return isArrayLike(object) ? arrayLikeKeys(object) : baseKeys(object);\n}\n\n/**\n * This method returns a new empty array.\n *\n * @static\n * @memberOf _\n * @since 4.13.0\n * @category Util\n * @returns {Array} Returns the new empty array.\n * @example\n *\n * var arrays = _.times(2, _.stubArray);\n *\n * console.log(arrays);\n * // => [[], []]\n *\n * console.log(arrays[0] === arrays[1]);\n * // => false\n */\nfunction stubArray() {\n  return [];\n}\n\n/**\n * This method returns `false`.\n *\n * @static\n * @memberOf _\n * @since 4.13.0\n * @category Util\n * @returns {boolean} Returns `false`.\n * @example\n *\n * _.times(2, _.stubFalse);\n * // => [false, false]\n */\nfunction stubFalse() {\n  return false;\n}\n\nmodule.exports = cloneDeep;\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".bx--dropdown{border-bottom:none}.print-technique-group{display:flex;flex-direction:column;justify-content:space-between;padding:1rem 1rem 0 1rem;flex:1;width:20%;overflow:hidden;max-width:200px;min-width:17%}.print-technique-group #title{color:#161616;font-weight:700;font-size:14px}.print-technique-group #con{color:#c50c0c;margin-right:5px}.print-technique-group #pro{color:#198038;margin-right:5px}.print-technique-group .characteristic-item{display:flex;align-items:center;margin-top:10px}.print-technique-group .characteristic-name{font-size:12px;width:90%}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","export * from \"-!../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../node_modules/cache-loader/dist/cjs.js??ref--1-0!../node_modules/vue-loader/lib/index.js??vue-loader-options!./StyleProvider.vue?vue&type=style&index=0&id=0cf82d90&prod&lang=scss\"","'use strict';\nvar global = require('../internals/global');\nvar isCallable = require('../internals/is-callable');\n\nvar WeakMap = global.WeakMap;\n\nmodule.exports = isCallable(WeakMap) && /native code/.test(String(WeakMap));\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".option-button[data-v-582fdf2e]{margin-bottom:10px}.panel-container[data-v-582fdf2e]{position:absolute;z-index:900;max-height:100%;width:270px;background-color:#fff;left:52px;top:245px;box-shadow:0 2.8px 2.2px rgba(0,0,0,.034),0 6.7px 5.3px rgba(0,0,0,.048),0 12.5px 10px rgba(0,0,0,.06),0 22.3px 17.9px rgba(0,0,0,.072),0 41.8px 33.4px rgba(0,0,0,.086),0 100px 80px rgba(0,0,0,.12)}.panel-container .bx--btn[data-v-582fdf2e]{max-width:270px;height:32px;font-size:14px}.panel-container .cv-checkbox .panel-option .bx--checkbox-wrapper .bx--form-item[data-v-582fdf2e]{margin-top:8px}.panel-header[data-v-582fdf2e]{color:#161616;font-size:16px;font-weight:700;margin:5px}.panel-content[data-v-582fdf2e]{padding:10px}.btn--size[data-v-582fdf2e]{width:20px!important;height:20px!important}.panel-option[data-v-582fdf2e]{margin-top:10px}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","'use strict';\n\nvar utils = require('./utils');\nvar bind = require('./helpers/bind');\nvar Axios = require('./core/Axios');\nvar mergeConfig = require('./core/mergeConfig');\nvar defaults = require('./defaults');\n\n/**\n * Create an instance of Axios\n *\n * @param {Object} defaultConfig The default config for the instance\n * @return {Axios} A new instance of Axios\n */\nfunction createInstance(defaultConfig) {\n  var context = new Axios(defaultConfig);\n  var instance = bind(Axios.prototype.request, context);\n\n  // Copy axios.prototype to instance\n  utils.extend(instance, Axios.prototype, context);\n\n  // Copy context to instance\n  utils.extend(instance, context);\n\n  return instance;\n}\n\n// Create the default instance to be exported\nvar axios = createInstance(defaults);\n\n// Expose Axios class to allow class inheritance\naxios.Axios = Axios;\n\n// Factory for creating new instances\naxios.create = function create(instanceConfig) {\n  return createInstance(mergeConfig(axios.defaults, instanceConfig));\n};\n\n// Expose Cancel & CancelToken\naxios.Cancel = require('./cancel/Cancel');\naxios.CancelToken = require('./cancel/CancelToken');\naxios.isCancel = require('./cancel/isCancel');\n\n// Expose all/spread\naxios.all = function all(promises) {\n  return Promise.all(promises);\n};\naxios.spread = require('./helpers/spread');\n\n// Expose isAxiosError\naxios.isAxiosError = require('./helpers/isAxiosError');\n\nmodule.exports = axios;\n\n// Allow use of default import syntax in TypeScript\nmodule.exports.default = axios;\n","\"use strict\";\nObject.defineProperty(exports, \"__esModule\", { value: true });\nexports.propOptionsGenerator = void 0;\nconst validators_1 = require(\"./validators\");\nconst propOptionsGenerator = (type, userValidator, ...typeValidators) => ({\n    optional: {\n        type,\n        required: false,\n        default: undefined,\n        validator: (0, validators_1.vuePropValidator)(userValidator, ...typeValidators),\n    },\n    nullable: {\n        type,\n        required: false,\n        default: null,\n        validator: (0, validators_1.vuePropValidator)(userValidator, ...typeValidators),\n    },\n    withDefault: (defaultValue) => ({\n        type,\n        required: false,\n        default: defaultValue,\n        validator: (0, validators_1.vuePropValidator)(userValidator, ...typeValidators),\n    }),\n    required: {\n        type,\n        required: true,\n        validator: (0, validators_1.vuePropValidator)(userValidator, ...typeValidators),\n    },\n});\nexports.propOptionsGenerator = propOptionsGenerator;\n","export * from \"-!../../../../node_modules/vue-style-loader/index.js??ref--7-oneOf-1-0!../../../../node_modules/css-loader/dist/cjs.js??ref--7-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--7-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--7-oneOf-1-3!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./SmallDetailsOneLogo.vue?vue&type=style&index=1&id=e4d436f2&prod&lang=css\"","export const ImageProcessingEngineVersion = 12;\r\nexport const DoSmallDetailsPart = true;\r\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".preview-modal[data-v-139a660a]{width:100%;height:100%;display:flex;padding-bottom:1px;justify-content:center;align-items:flex-start}.preview-modal__navigation[data-v-139a660a]{width:127px;padding:16px 0;gap:24px;border:1px solid #e0e0e0;background:#fff;border-top:unset;overflow:hidden}.preview-modal__navigation[data-v-139a660a],.preview-modal__preview-area[data-v-139a660a]{display:flex;height:100%;flex-direction:column;align-items:center}.preview-modal__preview-area[data-v-139a660a]{width:100%}.preview-modal__close[data-v-139a660a]{display:flex;width:98%;height:40px;justify-content:flex-end;align-items:center;gap:10px}.preview-modal__close-icon[data-v-139a660a]{width:36px;height:36px}.preview-modal__close-icon[data-v-139a660a]:hover{cursor:pointer}.preview-modal__image-container[data-v-139a660a]{position:relative;width:var(--value);top:50%;transform:translateY(-53%)}.preview-modal__img[data-v-139a660a]{max-height:var(--value);max-width:var(--value)}.preview-modal__img-shape[data-v-139a660a]{position:absolute}.preview-modal__positions-container[data-v-139a660a]{display:flex;width:87px;padding:8px 0;flex-direction:column;align-items:center;gap:8px;border:1px solid var(--border-border-subtle-contrast,#e0e0e0)}.preview-modal__positions-container--selected[data-v-139a660a]{border:1px solid #000}.preview-modal__title[data-v-139a660a]{color:#161616;font-family:Roboto;font-size:14px;font-style:normal;font-weight:400;line-height:19.756px;letter-spacing:.176px}.preview-modal__position-name[data-v-139a660a]{color:var(--text-text-placeholder,#a8a8a8);text-align:center;font-family:Roboto;font-size:11px;font-style:normal;font-weight:700;line-height:18px;letter-spacing:.16px}.preview-modal__arrow-navigation[data-v-139a660a]{display:none}@media only screen and (max-height:730px){.preview-modal__arrow-navigation[data-v-139a660a]{width:48px;height:48px;flex-shrink:0;stroke-width:1px;border:1px solid #e2e2e2;border-radius:50%;text-align:center;vertical-align:middle;display:unset}.preview-modal__arrow-navigation[data-v-139a660a]:hover{cursor:pointer}.preview-modal__arrow-icon[data-v-139a660a]{position:relative;width:28px;height:28px;color:#000;top:calc(50% - 14px)}.preview-modal__hide-image[data-v-139a660a]{display:none}}.preview-modal__position-name--selected[data-v-139a660a]{color:#000}.preview-modal__position-img[data-v-139a660a]{height:80px;width:80px;-o-object-fit:contain;object-fit:contain}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../node_modules/css-loader/dist/runtime/api.js\");\nvar ___CSS_LOADER_AT_RULE_IMPORT_0___ = require(\"-!../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!vue-js-modal/dist/styles.css\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\nexports.i(___CSS_LOADER_AT_RULE_IMPORT_0___);\n// Module\nexports.push([module.id, \".bx--dropdown{border-bottom:none}.import-wizard{font-family:Roboto,sans-serif}.import-wizard .bx--grid{margin-left:0!important;margin-right:0!important}.import-wizard .vm--container{z-index:1100}.import-wizard__loader{position:absolute}.canvas{flex-grow:5}.pintura_main{height:720px}.vm--container{z-index:1100}.main-row__wrapper{display:flex;position:relative;width:1312px;height:auto;border:1px solid rgba(0,0,0,.1)}.pintura_main .PinturaUtilMain{padding:55px!important}.sidebar{flex-grow:3}.bx--grid--condensed .bx--col,.bx--row--condensed .bx--col{padding:0}.pintura__sidebar{height:768px;box-shadow:-5px 0 7px -5px rgba(0,0,0,.1)}.cv-header{position:relative}.bx--btn.bx--btn--icon-only.bx--tooltip__trigger+.bx--assistive-text,.bx--btn.bx--btn--icon-only.bx--tooltip__trigger .bx--assistive-text,.bx--btn.bx--btn--icon-only.bx--tooltip__trigger:after{transform:translate(100%,-50%)}.bx--btn--icon-only{padding-left:13.3px;padding-right:13.3px}.sep{margin:0 .6rem}.title__main{color:#161616}.notification-container{position:absolute;z-index:900;right:-7px;top:48px;overflow-x:hidden;overflow-y:auto;max-height:100%}.switch-color{position:absolute;left:65px;bottom:10px;display:flex;justify-content:space-between;width:750px}.ruler_main{position:absolute;left:48px;width:770px;height:770px}div[data-notification]{position:relative}div[data-notification]+div[data-notification]{margin-top:16px}.dot{height:10px;width:10px;background-color:#da1e28;border-radius:50%;border:1px solid #fff;display:flex;position:absolute;margin-left:10px;margin-top:8px}.download-preview-button{font-size:14px;min-height:unset;height:35px;width:30%;max-width:70%}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./w2pPintura.vue?vue&type=style&index=0&id=07faefe4&prod&lang=scss\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"268e3e46\", content, shadowRoot)\n};","export * from \"-!../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PrintTechnique.vue?vue&type=style&index=0&id=4b944288&prod&lang=scss\"","'use strict';\n\nvar GetIntrinsic = require('get-intrinsic');\nvar define = require('define-data-property');\nvar hasDescriptors = require('has-property-descriptors')();\nvar gOPD = require('gopd');\n\nvar $TypeError = require('es-errors/type');\nvar $floor = GetIntrinsic('%Math.floor%');\n\n/** @type {import('.')} */\nmodule.exports = function setFunctionLength(fn, length) {\n\tif (typeof fn !== 'function') {\n\t\tthrow new $TypeError('`fn` is not a function');\n\t}\n\tif (typeof length !== 'number' || length < 0 || length > 0xFFFFFFFF || $floor(length) !== length) {\n\t\tthrow new $TypeError('`length` must be a positive 32-bit integer');\n\t}\n\n\tvar loose = arguments.length > 2 && !!arguments[2];\n\n\tvar functionLengthIsConfigurable = true;\n\tvar functionLengthIsWritable = true;\n\tif ('length' in fn && gOPD) {\n\t\tvar desc = gOPD(fn, 'length');\n\t\tif (desc && !desc.configurable) {\n\t\t\tfunctionLengthIsConfigurable = false;\n\t\t}\n\t\tif (desc && !desc.writable) {\n\t\t\tfunctionLengthIsWritable = false;\n\t\t}\n\t}\n\n\tif (functionLengthIsConfigurable || functionLengthIsWritable || !loose) {\n\t\tif (hasDescriptors) {\n\t\t\tdefine(/** @type {Parameters<define>[0]} */ (fn), 'length', length, true, true);\n\t\t} else {\n\t\t\tdefine(/** @type {Parameters<define>[0]} */ (fn), 'length', length);\n\t\t}\n\t}\n\treturn fn;\n};\n","'use strict';\nmodule.exports = {};\n","'use strict';\nmodule.exports = function (exec) {\n  try {\n    return !!exec();\n  } catch (error) {\n    return true;\n  }\n};\n","'use strict';\nvar global = require('../internals/global');\nvar isCallable = require('../internals/is-callable');\n\nvar aFunction = function (argument) {\n  return isCallable(argument) ? argument : undefined;\n};\n\nmodule.exports = function (namespace, method) {\n  return arguments.length < 2 ? aFunction(global[namespace]) : global[namespace] && global[namespace][method];\n};\n","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./TheApp.vue?vue&type=style&index=0&id=a296f9ac&prod&lang=scss\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"34395117\", content, shadowRoot)\n};","\"use strict\";\nObject.defineProperty(exports, \"__esModule\", { value: true });\nexports.isSymbol = void 0;\n/** Validator that only allows symbols. */\nconst isSymbol = (value) => {\n    if (typeof value !== 'symbol') {\n        return 'value should be a symbol';\n    }\n    return undefined;\n};\nexports.isSymbol = isSymbol;\n","export * from \"-!../../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./W2PPintura.vue?vue&type=style&index=1&id=6fe1c071&prod&lang=scss\"","'use strict';\nvar $propertyIsEnumerable = {}.propertyIsEnumerable;\n// eslint-disable-next-line es/no-object-getownpropertydescriptor -- safe\nvar getOwnPropertyDescriptor = Object.getOwnPropertyDescriptor;\n\n// Nashorn ~ JDK8 bug\nvar NASHORN_BUG = getOwnPropertyDescriptor && !$propertyIsEnumerable.call({ 1: 2 }, 1);\n\n// `Object.prototype.propertyIsEnumerable` method implementation\n// https://tc39.es/ecma262/#sec-object.prototype.propertyisenumerable\nexports.f = NASHORN_BUG ? function propertyIsEnumerable(V) {\n  var descriptor = getOwnPropertyDescriptor(this, V);\n  return !!descriptor && descriptor.enumerable;\n} : $propertyIsEnumerable;\n","import { render, staticRenderFns } from \"./StyleProvider.vue?vue&type=template&id=cc3aba46\"\nimport script from \"./StyleProvider.vue?vue&type=script&lang=js\"\nexport * from \"./StyleProvider.vue?vue&type=script&lang=js\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./StyleProvider.vue?vue&type=style&index=0&id=cc3aba46&prod&lang=scss\")\nif (style0.__inject__) style0.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  null,\n  null\n  ,true\n)\n\nexport default component.exports","'use strict';\n\nvar formats = require('./formats');\n\nvar has = Object.prototype.hasOwnProperty;\nvar isArray = Array.isArray;\n\nvar hexTable = (function () {\n    var array = [];\n    for (var i = 0; i < 256; ++i) {\n        array.push('%' + ((i < 16 ? '0' : '') + i.toString(16)).toUpperCase());\n    }\n\n    return array;\n}());\n\nvar compactQueue = function compactQueue(queue) {\n    while (queue.length > 1) {\n        var item = queue.pop();\n        var obj = item.obj[item.prop];\n\n        if (isArray(obj)) {\n            var compacted = [];\n\n            for (var j = 0; j < obj.length; ++j) {\n                if (typeof obj[j] !== 'undefined') {\n                    compacted.push(obj[j]);\n                }\n            }\n\n            item.obj[item.prop] = compacted;\n        }\n    }\n};\n\nvar arrayToObject = function arrayToObject(source, options) {\n    var obj = options && options.plainObjects ? Object.create(null) : {};\n    for (var i = 0; i < source.length; ++i) {\n        if (typeof source[i] !== 'undefined') {\n            obj[i] = source[i];\n        }\n    }\n\n    return obj;\n};\n\nvar merge = function merge(target, source, options) {\n    /* eslint no-param-reassign: 0 */\n    if (!source) {\n        return target;\n    }\n\n    if (typeof source !== 'object') {\n        if (isArray(target)) {\n            target.push(source);\n        } else if (target && typeof target === 'object') {\n            if ((options && (options.plainObjects || options.allowPrototypes)) || !has.call(Object.prototype, source)) {\n                target[source] = true;\n            }\n        } else {\n            return [target, source];\n        }\n\n        return target;\n    }\n\n    if (!target || typeof target !== 'object') {\n        return [target].concat(source);\n    }\n\n    var mergeTarget = target;\n    if (isArray(target) && !isArray(source)) {\n        mergeTarget = arrayToObject(target, options);\n    }\n\n    if (isArray(target) && isArray(source)) {\n        source.forEach(function (item, i) {\n            if (has.call(target, i)) {\n                var targetItem = target[i];\n                if (targetItem && typeof targetItem === 'object' && item && typeof item === 'object') {\n                    target[i] = merge(targetItem, item, options);\n                } else {\n                    target.push(item);\n                }\n            } else {\n                target[i] = item;\n            }\n        });\n        return target;\n    }\n\n    return Object.keys(source).reduce(function (acc, key) {\n        var value = source[key];\n\n        if (has.call(acc, key)) {\n            acc[key] = merge(acc[key], value, options);\n        } else {\n            acc[key] = value;\n        }\n        return acc;\n    }, mergeTarget);\n};\n\nvar assign = function assignSingleSource(target, source) {\n    return Object.keys(source).reduce(function (acc, key) {\n        acc[key] = source[key];\n        return acc;\n    }, target);\n};\n\nvar decode = function (str, decoder, charset) {\n    var strWithoutPlus = str.replace(/\\+/g, ' ');\n    if (charset === 'iso-8859-1') {\n        // unescape never throws, no try...catch needed:\n        return strWithoutPlus.replace(/%[0-9a-f]{2}/gi, unescape);\n    }\n    // utf-8\n    try {\n        return decodeURIComponent(strWithoutPlus);\n    } catch (e) {\n        return strWithoutPlus;\n    }\n};\n\nvar limit = 1024;\n\n/* eslint operator-linebreak: [2, \"before\"] */\n\nvar encode = function encode(str, defaultEncoder, charset, kind, format) {\n    // This code was originally written by Brian White (mscdex) for the io.js core querystring library.\n    // It has been adapted here for stricter adherence to RFC 3986\n    if (str.length === 0) {\n        return str;\n    }\n\n    var string = str;\n    if (typeof str === 'symbol') {\n        string = Symbol.prototype.toString.call(str);\n    } else if (typeof str !== 'string') {\n        string = String(str);\n    }\n\n    if (charset === 'iso-8859-1') {\n        return escape(string).replace(/%u[0-9a-f]{4}/gi, function ($0) {\n            return '%26%23' + parseInt($0.slice(2), 16) + '%3B';\n        });\n    }\n\n    var out = '';\n    for (var j = 0; j < string.length; j += limit) {\n        var segment = string.length >= limit ? string.slice(j, j + limit) : string;\n        var arr = [];\n\n        for (var i = 0; i < segment.length; ++i) {\n            var c = segment.charCodeAt(i);\n            if (\n                c === 0x2D // -\n                || c === 0x2E // .\n                || c === 0x5F // _\n                || c === 0x7E // ~\n                || (c >= 0x30 && c <= 0x39) // 0-9\n                || (c >= 0x41 && c <= 0x5A) // a-z\n                || (c >= 0x61 && c <= 0x7A) // A-Z\n                || (format === formats.RFC1738 && (c === 0x28 || c === 0x29)) // ( )\n            ) {\n                arr[arr.length] = segment.charAt(i);\n                continue;\n            }\n\n            if (c < 0x80) {\n                arr[arr.length] = hexTable[c];\n                continue;\n            }\n\n            if (c < 0x800) {\n                arr[arr.length] = hexTable[0xC0 | (c >> 6)]\n                    + hexTable[0x80 | (c & 0x3F)];\n                continue;\n            }\n\n            if (c < 0xD800 || c >= 0xE000) {\n                arr[arr.length] = hexTable[0xE0 | (c >> 12)]\n                    + hexTable[0x80 | ((c >> 6) & 0x3F)]\n                    + hexTable[0x80 | (c & 0x3F)];\n                continue;\n            }\n\n            i += 1;\n            c = 0x10000 + (((c & 0x3FF) << 10) | (segment.charCodeAt(i) & 0x3FF));\n\n            arr[arr.length] = hexTable[0xF0 | (c >> 18)]\n                + hexTable[0x80 | ((c >> 12) & 0x3F)]\n                + hexTable[0x80 | ((c >> 6) & 0x3F)]\n                + hexTable[0x80 | (c & 0x3F)];\n        }\n\n        out += arr.join('');\n    }\n\n    return out;\n};\n\nvar compact = function compact(value) {\n    var queue = [{ obj: { o: value }, prop: 'o' }];\n    var refs = [];\n\n    for (var i = 0; i < queue.length; ++i) {\n        var item = queue[i];\n        var obj = item.obj[item.prop];\n\n        var keys = Object.keys(obj);\n        for (var j = 0; j < keys.length; ++j) {\n            var key = keys[j];\n            var val = obj[key];\n            if (typeof val === 'object' && val !== null && refs.indexOf(val) === -1) {\n                queue.push({ obj: obj, prop: key });\n                refs.push(val);\n            }\n        }\n    }\n\n    compactQueue(queue);\n\n    return value;\n};\n\nvar isRegExp = function isRegExp(obj) {\n    return Object.prototype.toString.call(obj) === '[object RegExp]';\n};\n\nvar isBuffer = function isBuffer(obj) {\n    if (!obj || typeof obj !== 'object') {\n        return false;\n    }\n\n    return !!(obj.constructor && obj.constructor.isBuffer && obj.constructor.isBuffer(obj));\n};\n\nvar combine = function combine(a, b) {\n    return [].concat(a, b);\n};\n\nvar maybeMap = function maybeMap(val, fn) {\n    if (isArray(val)) {\n        var mapped = [];\n        for (var i = 0; i < val.length; i += 1) {\n            mapped.push(fn(val[i]));\n        }\n        return mapped;\n    }\n    return fn(val);\n};\n\nmodule.exports = {\n    arrayToObject: arrayToObject,\n    assign: assign,\n    combine: combine,\n    compact: compact,\n    decode: decode,\n    encode: encode,\n    isBuffer: isBuffer,\n    isRegExp: isRegExp,\n    maybeMap: maybeMap,\n    merge: merge\n};\n","export * from \"-!../../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./InfoBox.vue?vue&type=style&index=0&id=18fb64e4&prod&lang=scss\"","import { px2mm } from '@/utils';\r\n\r\nfunction round(value: number, precision: number) {\r\n  const multiplier = Math.pow(10, precision || 0);\r\n  return Math.round(value * multiplier) / multiplier;\r\n}\r\n\r\nexport const calculatePrintArea = (\r\n  dpi: number,\r\n  positions: any[],\r\n  shapes: any[]\r\n): { width: number; height: number } => {\r\n  let lowestX = 0;\r\n  let lowestY = 0;\r\n  let highestX = 0;\r\n  let highestY = 0;\r\n\r\n  shapes.map((shape: any) => {\r\n    const currentShape = positions.find((pos: any) => {\r\n      return shape.id === pos.logoId;\r\n    });\r\n\r\n    if (currentShape) {\r\n      const height = px2mm(shape.height as number, dpi);\r\n      const width = px2mm(shape.width as number, dpi);\r\n      const rotation = shape.rotation as number;\r\n      const shapeX = px2mm(shape.x as number, dpi);\r\n      const shapeY = px2mm(shape.y as number, dpi);\r\n\r\n      const heightWithRotation =\r\n        height * Math.abs(Math.cos(rotation)) +\r\n        width * Math.abs(Math.sin(rotation)); // Obican height ili kada se zarotira\r\n\r\n      const widthWithRotation =\r\n        width * Math.abs(Math.cos(rotation)) +\r\n        height * Math.abs(Math.sin(rotation)); // Obican width ili kada se zarotira\r\n\r\n      // This is y\r\n      const distanceFromTop = shapeY - (heightWithRotation - height) / 2;\r\n      // This is x\r\n      const distanceFromLeft = shapeX - (widthWithRotation - width) / 2;\r\n\r\n      if (lowestX == 0) {\r\n        lowestX = distanceFromLeft;\r\n      } else {\r\n        if (distanceFromLeft < lowestX) {\r\n          lowestX = distanceFromLeft;\r\n        }\r\n      }\r\n\r\n      if (lowestY == 0) {\r\n        lowestY = distanceFromTop;\r\n      } else {\r\n        if (distanceFromTop < lowestY) {\r\n          lowestY = distanceFromTop;\r\n        }\r\n      }\r\n\r\n      if (distanceFromLeft + widthWithRotation > highestX) {\r\n        highestX = distanceFromLeft + widthWithRotation; // This is width\r\n      }\r\n\r\n      if (distanceFromTop + heightWithRotation > highestY) {\r\n        highestY = distanceFromTop + heightWithRotation; // This is height\r\n      }\r\n    }\r\n  });\r\n  return {\r\n    width: round(highestX - lowestX, 1),\r\n    height: round(highestY - lowestY, 1),\r\n  };\r\n};\r\n\r\nexport const calculatePrintAreaV2 = (\r\n  positions: any[],\r\n  shapes: any[]\r\n): { width: number; height: number } => {\r\n  let lowestX = 0;\r\n  let lowestY = 0;\r\n  let highestX = 0;\r\n  let highestY = 0;\r\n\r\n  shapes.map((shape: any) => {\r\n    const currentShape = positions.find((pos: any) => {\r\n      return shape.id === pos.logoId;\r\n    });\r\n\r\n    if (currentShape) {\r\n      const height = shape.heightOnProductMM;\r\n      const width = shape.widthOnProductMM;\r\n      const rotation = shape.rotation as number;\r\n      const shapeX = shape.xOnProductMM;\r\n      const shapeY = shape.yOnProductMM;\r\n\r\n      const heightWithRotation =\r\n        height * Math.abs(Math.cos(rotation)) +\r\n        width * Math.abs(Math.sin(rotation)); // Obican height ili kada se zarotira\r\n\r\n      const widthWithRotation =\r\n        width * Math.abs(Math.cos(rotation)) +\r\n        height * Math.abs(Math.sin(rotation)); // Obican width ili kada se zarotira\r\n\r\n      // This is y\r\n      const distanceFromTop = shapeY - (heightWithRotation - height) / 2;\r\n      // This is x\r\n      const distanceFromLeft = shapeX - (widthWithRotation - width) / 2;\r\n\r\n      if (lowestX == 0) {\r\n        lowestX = distanceFromLeft;\r\n      } else {\r\n        if (distanceFromLeft < lowestX) {\r\n          lowestX = distanceFromLeft;\r\n        }\r\n      }\r\n\r\n      if (lowestY == 0) {\r\n        lowestY = distanceFromTop;\r\n      } else {\r\n        if (distanceFromTop < lowestY) {\r\n          lowestY = distanceFromTop;\r\n        }\r\n      }\r\n\r\n      if (distanceFromLeft + widthWithRotation > highestX) {\r\n        highestX = distanceFromLeft + widthWithRotation; // This is width\r\n      }\r\n\r\n      if (distanceFromTop + heightWithRotation > highestY) {\r\n        highestY = distanceFromTop + heightWithRotation; // This is height\r\n      }\r\n    }\r\n  });\r\n  return {\r\n    width: round(highestX - lowestX, 1),\r\n    height: round(highestY - lowestY, 1),\r\n  };\r\n};\r\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".filename[data-v-39884b3e]{margin:6px 0 6px 0;font-size:14px;font-weight:400;font-stretch:normal;font-style:normal;line-height:1.29;letter-spacing:.16px;color:#161616}.image[data-v-39884b3e]{width:144px}.image[data-v-39884b3e],.image-thumbnail[data-v-39884b3e]{margin:16px;border:1px solid #e7e6e6}.image-thumbnail[data-v-39884b3e]{width:80px;height:80px;-o-object-fit:contain;object-fit:contain}.print-positions-info[data-v-39884b3e]{display:flex;align-items:center;height:90px}.Uploaded-logo[data-v-39884b3e]{width:93px;height:18px;margin:0 0 0 16px;font-size:14px;font-weight:700;font-stretch:normal;font-style:normal;line-height:1.29;letter-spacing:.16px;color:#161616}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","module.exports = 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\"","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./TheApp.vue?vue&type=style&index=0&id=49f655d7&prod&lang=scss&scoped=true\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"45177251\", content, shadowRoot)\n};","export * from \"-!../../../../node_modules/vue-style-loader/index.js??ref--7-oneOf-1-0!../../../../node_modules/css-loader/dist/cjs.js??ref--7-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--7-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--7-oneOf-1-3!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./SmallDetailsConfirmation.vue?vue&type=style&index=1&id=7c26d410&prod&lang=css\"","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./CustomToolset.vue?vue&type=style&index=1&id=57a4bc0e&prod&lang=scss&scoped=true\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"18f6a9b9\", content, shadowRoot)\n};","'use strict';\nvar aCallable = require('../internals/a-callable');\nvar toObject = require('../internals/to-object');\nvar IndexedObject = require('../internals/indexed-object');\nvar lengthOfArrayLike = require('../internals/length-of-array-like');\n\nvar $TypeError = TypeError;\n\nvar REDUCE_EMPTY = 'Reduce of empty array with no initial value';\n\n// `Array.prototype.{ reduce, reduceRight }` methods implementation\nvar createMethod = function (IS_RIGHT) {\n  return function (that, callbackfn, argumentsLength, memo) {\n    var O = toObject(that);\n    var self = IndexedObject(O);\n    var length = lengthOfArrayLike(O);\n    aCallable(callbackfn);\n    if (length === 0 && argumentsLength < 2) throw new $TypeError(REDUCE_EMPTY);\n    var index = IS_RIGHT ? length - 1 : 0;\n    var i = IS_RIGHT ? -1 : 1;\n    if (argumentsLength < 2) while (true) {\n      if (index in self) {\n        memo = self[index];\n        index += i;\n        break;\n      }\n      index += i;\n      if (IS_RIGHT ? index < 0 : length <= index) {\n        throw new $TypeError(REDUCE_EMPTY);\n      }\n    }\n    for (;IS_RIGHT ? index >= 0 : length > index; index += i) if (index in self) {\n      memo = callbackfn(memo, self[index], index, O);\n    }\n    return memo;\n  };\n};\n\nmodule.exports = {\n  // `Array.prototype.reduce` method\n  // https://tc39.es/ecma262/#sec-array.prototype.reduce\n  left: createMethod(false),\n  // `Array.prototype.reduceRight` method\n  // https://tc39.es/ecma262/#sec-array.prototype.reduceright\n  right: createMethod(true)\n};\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".pipeline-validation-notification .bx--toast-notification--error .bx--toast-notification__close-button{display:none}.bx--toast-notification{width:220px}.bx--toast-notification__title{font-size:14px}.bx--toast-notification__subtitle{font-size:12px}.bx--toast-notification__caption{font-size:10px}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","\"use strict\";\nObject.defineProperty(exports, \"__esModule\", { value: true });\nexports.symbolProp = void 0;\nconst util_1 = require(\"../util\");\nconst validators_1 = require(\"../validators\");\n/**\n * Allows any symbol (validated at runtime and compile time).\n *\n * @param validator - Optional function for further runtime validation; should return `undefined` if valid, or an error string if invalid.\n */\nconst symbolProp = (validator) => (0, util_1.propOptionsGenerator)(undefined, validator, validators_1.isSymbol);\nexports.symbolProp = symbolProp;\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".bx--dropdown{border-bottom:none}.selected__info{display:flex;max-width:340px}.selected__info-thumbnail{margin-right:20px;width:60px;max-height:60px}.selected__info-image{width:100%;height:100%;-o-object-fit:contain;object-fit:contain}.selected__info-name{font-weight:600;color:#161616;margin-bottom:2px}.selected__info-name,.selected__info-technique{font-size:.875rem;line-height:1.28572;letter-spacing:.16px;font-size:14px}.selected__info-technique{font-weight:400;color:#525252;margin-bottom:auto}.selected__info-resolution{font-size:.75rem;line-height:1.33333;letter-spacing:.32px;color:#6f6f6f;font-size:12px}.selected__info--inner-wrap{display:flex;flex-direction:column;justify-content:space-between}.bx--file__container{margin:1rem}.bx--file-browse-btn,.bx--file__selected-file,.bx--file__selected-file--invalid__wrapper{max-width:100%}.bx--file--label{margin-bottom:.5rem}.file-uploader--disabled .bx--file__drop-container{border:1px dashed #c6c6c6}.file-uploader--disabled .bx--file-browse-btn{color:#c6c6c6;transition:none}.file-uploader--disabled .bx--file-browse-btn:focus,.file-uploader--disabled .bx--file-browse-btn:hover{color:#c6c6c6;text-decoration:none;cursor:no-drop;outline:none}.cv-accordion-item{height:100%}.cv-accordion-item button{height:80px}.bx--accordion__heading{flex-direction:row-reverse;align-items:flex-start!important}.same-logo-file-container{display:grid;min-height:35px;align-items:center;margin-bottom:.5rem;background-color:#f4f4f4;padding-left:10px}.accept-logos,.accept-logos label{font-size:14px!important}.bx--file__selected-file--invalid .bx--form-requirement__supplement,.bx--file__selected-file--invalid .bx--form-requirement__title{font-size:10px!important}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","'use strict';\nvar $TypeError = TypeError;\n\nmodule.exports = function (passed, required) {\n  if (passed < required) throw new $TypeError('Not enough arguments');\n  return passed;\n};\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../node_modules/css-loader/dist/runtime/api.js\");\nvar ___CSS_LOADER_AT_RULE_IMPORT_0___ = require(\"-!../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!./quill.snow.css\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\nexports.i(___CSS_LOADER_AT_RULE_IMPORT_0___);\n// Module\nexports.push([module.id, \"body.modal-open{overflow:hidden}.whats-new-container{padding-left:10px;padding-right:10px;padding-top:10px;position:absolute;display:flex;flex-direction:column;height:100%;width:100%}.whats-new-container p{font-size:unset!important}.contentContainer{display:flex;min-height:0;padding-top:20px}.content{flex-grow:1;overflow:auto;min-height:0}.header{display:flex;flex-direction:row;min-height:0;height:60px;align-items:center}.headerText{font-weight:700}.close{margin-left:auto;cursor:pointer;align-self:center}.release{padding:15px}.text-divider{display:flex;align-items:center;color:#000}.text-divider:after{content:\\\"\\\";height:1px;margin-left:10px;background-color:#000;flex-grow:1}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","export * from \"-!../../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./ActionsToolbar.vue?vue&type=style&index=0&id=148e3d02&prod&lang=scss&scoped=true\"","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".notification .bx--toast-notification__details{margin-right:3px}.notification__toast .bx--toast-notification__title{font-size:16px;margin-top:5px}.notification__toast .bx--toast-notification__subtitle{word-break:break-word;font-size:12px;margin:0;margin-right:3px}.notification__toast .bx--toast-notification__caption{word-break:break-word;font-size:12px;color:#24a148;margin-right:3px;margin-bottom:3px}.notification .bx--toast-notification__icon{margin-top:5px}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","export * from \"-!../../../node_modules/vue-style-loader/index.js??ref--7-oneOf-1-0!../../../node_modules/css-loader/dist/cjs.js??ref--7-oneOf-1-1!../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../node_modules/postcss-loader/src/index.js??ref--7-oneOf-1-2!../../../node_modules/postcss-loader/src/index.js??ref--7-oneOf-1-3!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PreviewPdf.vue?vue&type=style&index=0&id=55693bea&prod&scoped=true&lang=css\"","export * from \"-!../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./TheApp.vue?vue&type=style&index=0&id=e894e20c&prod&lang=scss\"","'use strict';\n\n/**\n * Determines whether the specified URL is absolute\n *\n * @param {string} url The URL to test\n * @returns {boolean} True if the specified URL is absolute, otherwise false\n */\nmodule.exports = function isAbsoluteURL(url) {\n  // A URL is considered absolute if it begins with \"<scheme>://\" or \"//\" (protocol-relative URL).\n  // RFC 3986 defines scheme name as a sequence of characters beginning with a letter and followed\n  // by any combination of letters, digits, plus, period, or hyphen.\n  return /^([a-z][a-z\\d\\+\\-\\.]*:)?\\/\\//i.test(url);\n};\n","module.exports = 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gWwDIYxtughYDzIQyFrLlCXwpEQ3GQ+d+Yc+gGBrP7ezzIfgC5JABjSg6V/uG99mpf4A8gEA5fjdEAhkwPaVXn2aOUWAQAb4tiuQAQhkQKNUyAAEMkDgedIfThEgkAGdluiell0OjAACGbAVJYcygQwQyACBTCADEMiA5hW7TquAJpgAAhmQxKTQ4xLGAIEM6I1SpywFMkAgA/oh3pqoxPAjkAECGdArJYYfPcgAgQzolW8FHtPUaQEEMqBPSgw/d04LIJABApljAhDIgDRK7PcVLzYAEMiAXpk4FgCBDMjLFCGAQAZk9ntBx/LN6QAEMqCPSqqQWT8GCGRA/+ze3JYUyEyfAgIZ0FuTQo5DhQwQyIDeKqIyVVi1DkAgA5IqYWH/zGkABDKgz0qoTAlkgEAG9FchU4WmKwGBDOi9Seb9/88pAAQyoO9yV6gmTgEgkAF9l3thv5YXgEAG9F7WCpmWF4BABvReDESqVAACGZBZrirVxNADAhnA3LeeBUEAgQwoTq5g9M3QAwIZQN5ANjH0gEAGUP25sH9Wpb+F0azer4sJAIEMYEnqKtnMkAMCGcDPfjcEAAIZkNck8f6GP/Zf7Rh2QCADiHZvbicZdntg5AGBDOBnqdeRvTHkgEAGkDeQqZABAhnAPakbte782H8llAECGcCSHA1i3xl2QCADiHZvbnMEMhUyQCADuGeSeH+mLQGBDOCeHDf8Nm0JCGQAS37NsE8VMkAgA1gyzLBP05aAQAYQ1KFor34YZNq9aUtAIAOo8lTHFlTIAIEMoMpbpQrTliOnABDIgN6qw9BOlbdCljsQAghkQHbDAo7hIAZDAIEM6KVSqlMjpwIQyIC+GhZyHB+cCkAgA3onc7uL+/bi8QAIZECvfHQ8AAIZkFdpPcAs7gcEMqA/4i2LSgs/O5VGsYBABvRIqYvoTVsCAhnQfXFasNRKlMX9gEAG9MKo8ONTJQMEMqDzSg88I4v7AYEM6KzCeo895cjZAgQyoKvaMh2ocz8gkAGd1Za2EoMf+69GThcgkAGdEgNOm9ZmqZIBAhnQOW0LOMM6RA6dNkAgAzqhDjaDEHBaeOhaYAACGdAZo5Ye90EMkwACGdB6bV6PdeL0AQIZ0GrxRuKDFr+EkSoZIJABbfeuA69BlQwQyIB2ircgGnXgpaiSAQIZ0N4g06HX4opLQCADhJjc4dJNxwGBDGiVFt1IfFUhjJ07s4BABrRJF6f4rCUDBDKgHeLU3kFHX54rLgGBDGiFEMZSrLc6y/DaVMkAgQxohRTTlde7N7en9eMsw+tTJQMEMqBccTH/XoJdfYmPuapke842IJABpUpRHbvbvbkdhz/Ex1mG1+mKS0AgA8qTcDH/+N4/56iSDevXO3TWAYEMKE2qxfxXy/8Qq2STDK/3k1MOCGRAaVJMV07rADZ94N/nqJINfuy/GjntgEAGFCHhYv7Lh/5lHdImVZ4q2blbKgECGVCKVJ35r5/4bzmqZCGMaYMBCGRAXikX8+/e3N499h9jlWycYQiONIsFBDIgt1SL+b+s8HfOMo2BBf6AQAZklWK6crZ7c3v93F+q/86sytcG48BbARDIgOQSLua/WuPvXtTbXYbh+GSBPyCQATmkWsw/XvUvxnVmFvgDAhnQfQkX81/HqciV1X8/VMlmGYblyH0uAYEMSKmkxfwPOcw0Lhb4AwIZkEyK6bm/biS+rozNYvd+7L869fYABDKgUfHG2oMEuxpv+P/nqpKd6E0GCGRA0z4k2s/VJv9zxjYYgalLQCADmhEX848S7OqxG4mvK9cC/9Cb7Mg7BhDIgCaMEu3nchtPEttgHGcaq3NXXQICGdCEFL3HQoi63taTxS7/k0zjZeoSEMiA7Um4mP/6qRuJv9BhlaeDv6suAYEM2KpUnfkvt/2EcYH/ZaZxO4lhFkAgA14utnFI0Zl/W4v5Hwplp+H5Mw2he10CAhmwsVGi/Vw1/Py5FviHQGs9GSCQARtJ1Xts3OSTxw7+F5nG8ODH/quRtxIgkAFriyFikCKMNbCY/yGhWews03BqhQEIZMCLtKIz/6pi6Mt1W6Wwjsx6MkAgA1YXF/MPE+xqFqcTk8g8dRkqZNaTAQIZsLLWtrpYQc6pywO3VgIEMuBZCe9bGYxTv77MU5fBuf5kgEAGPCf0HUux1inVYv6HQtmkyjd1GXyO08IAAhnwoFTTlVeZX2fOqcudGMos8gcEMuBnsTVDivYM05SL+R9SwNRlGOdz7zpAIAPu6/Ji/odCWQiFZxkPYVSHYKEMEMiAuYSL+UNl6rqU1535XpfBkU7+gEAGLKQKBde5FvM/4X0Mirl8cuUlIJABQa+mK5fVAXFW5bsB+cJnt1cCBDLosVidGSTY1aQOP9MSx6A+rnGVoS/akjBl/FU7DEAgg/7qS6uL54QqWc7AqB0GIJBBH8WKzEGCXd3FKlSxllph5FxPFqYtvwplgEAG/TJKtJ/LNgxGnFLNvZ7MjcgBgQx6JtV05bgtA1LAerIg3IhcKAMEMui62P8qxdTYdbySsU1yrycLRkIZIJBB931ItJ/Ltg1MXE+Wuz+ZUAYIZNBlcTH/MMGuZrnvW7lBKJvFUJabUAYIZNBRJ4n2c9nmQYph8riAQxHKAIEMuiS2VEjS6qJq0WL+J0LZRSGvQygDBDLokBDGUi3mv+vImJWwyH8RyvQpA4EM6IBUrS7OujJgMVi+rfIv8g+G1bx5rHtfgkAGtFG8b2WKD/JJC1tdtCmULTr6D72rQSAD2sdi/s1CWZi2PCzkcBY3JD/ytgaBDGiJWE0ZJthVaHVx3dVxjK/tsKBDOq/PrZuSg0AGtITq2PZC2bh+uCjokMKFGjemMEEgAwqWsBFsJ1pdrBjKjgt7reEchynMU+94EMiAMqWqjo071OpilVAWpi4npZ3rOpTduAoTBDKgIHFt0SjR7i57OMTh9krTwo4phLEb1TLonl8MAbRWqqvwrrvW6mIVoSJYB5/QDuNrlaalyDpCtexd/XgYrxAt4QtCGKPFBQg7D4zZ6+qfjYt3GhzbydKfQ3X39/jn2WLr4/sagQzYvlSNYC/7OsCFh7JFtSxchHC27SnluD5xEP9xuPSf3iz9eVjw6bt/bAcPvMblgBaC7R/hMd7rFAQy4NkPy1GV5jZJvf9wKjyUBaFSGm69dByvEl3l/bOoZi0ef30kfPXBIngO7wW1ady+VR1siIxABmyHVhdC2bIQqj7Vx/ihmt+fc+deuHrT07C1ib24jWJIC4Es9Kr71uV+fAhkwIrqD4aD6u9qRpNmq1ZchLJihMB142w1IvzMhWrkUf0+uIvh7Mr0JtviKkton1Rrx64M9T9DWTW/7+XUaPTa4grn0B/ue1hC4I4KCGTQI3HtzzDBrkLwuDDiQhnPGtTbp3oLwexUMEMgg35IVR277lMjWKGMLQhBLKztvInLCkAggy6KbQhGiXZ3ZsSFMl4k/Jx+dmN4BDLorpTVsZnhFsrYyOLG8G51hUAGXeE2Sa0IZaZ4uW9QzRf+C2U8S9sLaIdwuX2K6Y+Zy/hXDsjDat7fK9WFFrTTTgxlb0u5zRUCGfByHxLtx9qxhwPYIIau1/FRxQOhDIEMehYGRlWaRrB3GsH+I4C9iY8Do8KWQtm+NZoIZNBObpMkgNGdUPY5VsqsOUQggxYFhZThYNyjcV1eA3ZQCWCkE6a7z+vt0FAgkEF7pKqOjbs+jRLD7bvKGjDyC7da+uIm5Qhk0I4AkfLqvasOj9+iCgYlOa/foxNTlwhkUL5UjWCnXWh1sTQNuaiCDbyFKFh4f4Z2NqeGAoEMyg0X4Zf1KNHuLls8Tnv3Qhi0yUn9Hh676hKBDMqVqjoWpktatY4l3rhZFYwu/awfGwYEMigvcKS8TdK49DUsSy0pQgizFoyuCQv8z6wlQyCD8qS6TVJQ5HTl0lRkuEOBKyLbK4SMRWf6b/FxFrc/Nbl+MX65Wbx/BnF7Hf/doJAx2olfNMbeLgIZUJZU05XXJa1diSHsQ6UvWFdc1FvWyk/c9+SZsBaC/6IhcC5vBDIEMihIvE1Sb6pj1oN1Wqj0hum48D67KG1KbimsTQp4P3rvI5BBYVI1gs3W6mLpQ+8gYfgkj534nv5YajC7F9LCBS7X8X2qYotABn2U8CbiwWXi1yaECWatCWYxnIW1b2E7ThDOrJNEIIOCJGt1UX/YjBOEMBUGngtmrejBdS+cDePP6sGWx4We+7chgPziL/lU35IvG3wdg3oLt4T5Xv/jTTVfRySMbUcIBF1pjbAIZt/r98qn2NqkFcJUf729r//4W/XIBQPwEipkUIZUa8fCB/rFtkNYrBZoUbE9s/hh/3u1tN4vXhn4qepWP7ZRNV/8P64fr9pyG69Y2Xsbp+M/VapcCGTQbrE6Nky0u+ttrd2Ja940a91OSF6Er0kMYHePhIDw7993NAQsglkYg8u4wL4Nwew6HvNXX0gQyKDdPiTc19mGISx84CzWz6gIvMyfoauaN0qdvmQN1VII6Fq1rIpfTob165vF9+t1Cy4AuKuP961QhkAGLZX4JuIvWkC9dCunEMQGztpaZvfC12SbIaD6u1p23sFzM4iB8zxOZ16WfAHAUij77ssKAhm0z0nCfa1VHVtqVTFymlYWwtek2qD69YIgsKiWhffSUQfHdCe+rqP6dYZpzKtSpzNjKDuOQRIEMmiDEqtjS8cUplEHztKTFvdpDOFrknMxeqyWhZYMV9W8Wjbs6JiHLwkHcTozXC18XWDV7FogQyCDdhkl3NfZM0FsGEPYyGl5MoBNlgLYtLQDjMf0Nl5wEYJZV6fOBvH1nZdWNYtVMj8tCGTQBnFdVqpGsA9Wx6wNe9bsXgCbteXAQ+PfGFS6Oo25bFE1C4E5vObLnGE5/lyta+rHDYEM8ggfkqmqF2f3PjAG8YPalZIdCWCPhLLFNGaY2gtTaMOOn7/FF4xRnNIM4exLyqnkGMbOX/C/3vnxQyCDPN+gk1fH4iL9jz34YO5lAHsimIXX9TZOS4ew0Ie2DIPq7wsBFpWzFOf5pW1IBDIEMsggVXUs/JK/jOuJTirTkik/mEsMZiF87vfw/fBX5Sx+MVkO4tNNpzfjF6yDDcf0d78WEcggvVSNYEMA+Vr1d1qy+EX4mYLZuH4Ia8xOq3nFtG/vj8G9gBYeFvcJ/bb03nno/TJc+vPr+FzbqDjOvDMRyCChWJ0YJNrdoIdDvBzAJt5xTwaz0/r9GO5retTTYLZs74HAlZJAhkAGiZ0Ygq1/kC1PQ1qLs14oC+MlmOU/D748IJBBKomrY121mIb8UvVwHZhg1kmm0hHIIDHVsZd/YC0C2MRwCGYd4z2NQAapqI6tZflqyGvTkIJZx30zBAhkkM5HQ/CkRRXs2tWQxQazTVs78LCJIUAggwRiQ849I/ETa8HaF8zG1bxdxqiat24ZGpnNw5gKMAIZpGPt2FwIXX9ORZZyI2heFM4WwWxYuSH9pr4YAgQySCB+aA17PARh+vGq0pi1i8FsEs5r/R4/i6EshLOBkVnL2BAgkEEafayOXVd/rwczHdP9YDarH06r+VqzRTAbGpnnw5ifDwQySKBH1bHFVZFfTEX2PpyNq/l05qCaX8gSLgQYGJkHXRkCBDJIo8vVsdlSCJs41dwLZuH9cRy2OpyFUPYhhjPm9NRDIIMUOlodC2vAwofIlfVgrBHOQnC/rn8mdmIoC5Wzvl91fOadgUAGaXSlOrZYlH+tNQUbBrPl1hmDGM4+9DCcnamOIZBBAh2ojglhNB3OwvsqNJu96Fk4Cwv5T70DEMggjTZWx4QwSgpn76ruTfmHMHbojCOQQcPiGpnzFn2QCGGUHM4Wa87exMc230vzon5tx84wAhk0H8bCVMvnqvxL/IUw2hLO/lpzVm+H8WcsfNlpU/UsvIZD7WAQyCBNGDutyp6mnMUQNhbCaHFAm8YvFBfx524Yg9nr+FhaBS0c55nmrwhk0HwQG9QPnwr9th6CV/hWrkUFXQ1ok2rehmXx8xgqaHsxoO1l+rlcNEk+8+UHgQzShLGDGMZK+lZ+txTCJs4SPQtoiwra/S9NgxjOfo1/3mvg5zbs97JyuzAEMkgWxBYL90cFHdYihFmnAj+HtFk1rxZPHvhZXgSznerndhuL4PaYb0t/Ds87FcIQyCBtGAvfsj9VZSzc940cNgtr03tfakAgg8KDWGlVsTPNJQG65d+GAJ4MY0f1w/eCwliohl04MwDdokIGDwexYTWvipV2KxdTlAACGXQ+iJW4aH/ZmbME0D2mLOHvMFba9OR9GrsCdJQKGYLY/PL3NtyDUnUMQCCDzgWxMD0Zbnl01ILDVR0DEMigc2FsWJXTU2wVqmMAAhl0JoiVvmj/IapjAAIZdCaMDeuHz1VZ959cheoYgEAGrQ9ibVordp/qGIBABp0IY1+r8hq8rkp1DKAH9CGjy2FsWM37irU1jKmOAQhk0OowdlrNK2M7LX4ZqmMAPWHKkq4FsUE1b2cxbPlLUR0DEMiglWEshLA2XkX5ENUxgB4xZUlXwthp1cwU5SzDy1EdA+gZFTLaHsRCAAtVsWEDT39R5WmVoToG0DMqZLQ5jIWrJ28aCmPjKs/Up+oYQA+pkNHWMDaq5ov3mzCpt6tqPgWamuoYgEAGrQhjIYiNGnr6ab29r+bToKmpjgEIZFB8EGu6634IY2/r7aBK3zbjrlIdA+gta8hoSxhbrBdrNIzt3tyGYHSS4SVeqo4BCGRQchgLFatQGRs0HcZi+4xB4pcYQuCFMw0gkEGpYSy0nWiy2ev1UhgL+/iY4WVexsocAD1lDRklh7EmF+8HYRH94dI/n1fpW12ojgEgkFFkEGuy2euDYSyuURtleLmqYwAIZBQZxpq8kvIfYSw6z/ByZ/VxnDrrAFhDRklhLISw7w2HsbP7YSw2mR1meMnaXADwJxUySgpjTdwcfNlhHcbG9/Yb9pejzcXs/rEA0F8qZJQQxkY5wlgUruIcZHjZx848AAsqZJQQxj41vJsHw1i97xDEclTHJvXxXDv7ACyokNH1MDZ+YmrwPNNLt3YMAIGMXoWxw0f2P6zm96xM7bo+pol3AAACGbnD2FHOMBZ9yvTyrR0D4B+sISN1GGu6+/6zYSzT/SoXxzXzLgDgPhUyuhbGps+EsRDEctyvMnTjVx0DQCAjaxg7TxHG6u3tM38nx/0qA7dIAkAgI2sYC0HsqOHdzEIYeyr01McRFvHnWMgfjs0NxAEQyMgaxppeQB9C2PtnwlioimVrc6E6BoBARpfDWBAqY9Nn/k6ujvwTt0gCQCCj62Hs8LkwFu+TeZJpKDSBBUAgI0sYCwEoxfTgxYrVp1xTlWNNYAEQyMgVxpq+UXgQOt4fr3A8YapymGEowpox1TEABDKSh7EQwj4nCGNhivJwheMZVPmmKi81gQVAICNHGAuVsUHDuwqVp8MVr1rM1XMsBDFtLgAQyEguhJ+9BPs5XOGKypw9x4JjbS4AEMhIKt4bcpRgV6Gf1/UKxxOqYrluHj5Z5RgBQCBjm2EsVKFSrNMKQed0xb8bwthOpiE59K4AQCAjZRjbq9JUov7sxL9GQMw1VXlmIT8AAhkpw9hiWjBFJer9KmuyMk9VhiBmIT8AAhlJpVrEf7ZGc9WcU5UW8gMgkJFOvC3SKMGuVl43lnmq0kJ+AAQykoaxQZXmVkTrrBvLOVX5Z1807wwABDJSStGJPzhcYwow51SljvwACGSkE/uNpVg3Nl51CjDeqzLXVOV0jVYcACCQsXEYC0EsRb+xWb0dr3hMgyrfvSqrVY8TAAQytiXVGq11pipTTZ8+5GKNqz8BQCBjM3FaMMVU5cohpz6mVG03HjKrtzPvDAAEMlKFsVCBSjVVebbiMQ3rh6OMw6LnGAACGUmFSlQxV1XGgPg543hc6zkGgEBGMrESNUqwq/Ea67FyrhvTcwwAgYzkUkxVhpCz6lWVp/XDMON4HJqqBEAgI5lYHUsRfo5XnKo8qPK2uDBVCYBARnIpwk+4B+R4hTA2qPLdGikwVQmAQEZaKatjKxzLYhH/TsYhMVUJgEBGcimqY2Eh/3SFv5ez31hwYaoSAIGMpOItkoYN72alhfxxEf8o43DMKg1gARDIyOBjgn1cPjcFWIexEMROMo/Fe1OVAAhkJBXXax00vJtZHXJOnzmOUKU7zzwcZytOqQKAQMZWhTDW9OL5sxXC2Ncq7yL+yXOhEQAEMpryruHnnz7V5qKQKyq1uABAICOPRNOVx8/sP1TGBpmHIrS4mHlHACCQkcOw4eefPHa/yqUwtpd5DLS4AEAgI6s3DT//WeFhLATGY28DAAQycho2+NzTh6pjBYWxsG7svbcAAAIZ2cRg1GQouiw4jAVv9RsDQCAjtyZD0ez+lZWxtcVNIWHsUL8xAAQyStBkm4nLe2FsWJVxNWUwfqoNBwAIZKTUZKVqvBTGTqv8TV8Xwro2/cYAKMIvhoAmw1hYm7XU8HVYyHGFKcq3Tg8ApVAhI2hqQftVvEn494LC2J+d+C3iB6AkKmQETS1qPykoiC3C2FuL+AEojQoZTRoWdjzHwhgAAhlFeuyWRh1z6IpKAAQyStflypEwBoBARitcdfR1HQtjAAhktMV1B19TaLtx4dQCIJDRCnVwmdUPkw69pGONXwEQyGijs468jkOVMQAEMlopXm3Z9iBjAT8AAhmtF6pkbbzictH0VRgDQCCj3eIthQ6r5m6n1IRZDGMTZxAAgYyuhLLFzbfbUCkLIWxfB34ABDK6HMpKXlN2Vh/nWzcKB0Ago8uh7K7ejmMwmxV0aOFYQhA7dZYAEMjoSzCb1A/7VRnVsnAM+9aLASCQ0cdQlrtaFgJYqIodm6IEQCCj78EsBKOU1bIQ/g7jWrGJMwCAQAbVP6plTV3dOI1B7De9xQDoul8MARsEs0n9sP9j/9WofvxYb3sbPuWsmt/k/EobCwAEMlgvmI3rh3EdzAb140G9vam3nXobPvO/TmII+z38WQgDQCCDzYNZCFcXVfvvhwkASVlDBgAgkAEACGQAAAhkAAACGQAAAhkAgEAGAIBABgAgkAEAIJABAAhkAAAIZAAAAhkAAAIZAIBABgCAQAYAIJABACCQAQAIZAAACGQAAAIZAAACGQCAQAYAgEAGACCQAQAgkAEACGQAAAhkAAACGQAAAhkAgEAGAIBABgAgkAEAIJABAAhkAAAIZAAAAhkAAAIZAIBABgCAQAYAIJABACCQAQAIZAAACGQAAAIZAAACGQCAQAYAgEAGACCQAQAgkAEACGQAAAhkAAACGQAAAhkAgEAGAIBABgAgkAEAIJABAAhkAAAIZK21ZwgAeM6P/Vc+LwSyzpoWcAxvnAYAVjA0BAJZV/2vgGM4qL/1DJwKAJ7xwRAIZDTrxBAA8Jj6i/tBlX+Jy8yZEMiaMi3kOEb1D9vQ6QDggTC2Uz98KuBQBDKBrDF3BR3LZws2AXggjH2ttx2fmQJZl00LOpY/f+jqH74jpwWAOHNyUxVyNf7uze3UWVnPvwzBWm/4/xbyzWPZrN6u6m3iDAH0Tghg76qyrqqc1YHsN6dmPb8YgrVMq/IuJR5U84X+FvsDUEQgMwTrM2W5nm+GAAB8VgpkeZkTBwCflQJZZhNDAAA+KwWyjHZvbu8kfwB41DR+ViKQNe6LIQCAB00MgUCWyrUhAIAHKVq8kD5kL/Bj/9X3at5uAgCYu9u9uf1/huFlVMhe5soQAMBPzCAJZMmNDQEA/ESxQiBLa/fmdlZZuAgAC+F2ST4XBbIsLg0BAPhMFMgyqr8JhLnymZEAoOdC37GxYRDIcjozBAD03Fgz2M1pe7EhLTAA6Lnf4tpqNqBCtjlVMgD66kIY2w4Vsi34sf/qa/0wNBIA9EiYpvzNdOV2qJBtx7EhAKBnLoWx7VEh25If+6/O64cjIwFAD0zrMLZvGLZHhWx7wlqymWEAoAfMDAlkZYpl2/dGAoCOu9CVXyArPZRNK1ddAtBdYapSdUwga0UoO63c8R6A7gkzQYeGQSBrk/CGnRoGALr02RZngmiAqywb8mP/1aB+uKm3HaMBQAfC2NgwNEeFrCGxc/Hbal7iBYC2GgtjzVMha9iP/Vd79UPo5K9SBkAbw5h1YwKZUAYAwlj3mbJMIC6CDNOXFkMC0AZnwlhaKmQJ/dh/FSpknys3IgegTGHd87E1YwJZX4KZ+14CUJpZvb3X2kIg61soG1bzapl1ZQDkNq7mlTGdAQSyXoayEMZOKtUyAPKYVfMeYxNDIZAJZvNqWQhmQ6MBQAKhEnZZzW8UriomkCGYASCIIZCVG8w+1NvIaACwBdMYxK4FMYGM9YNZWGN2UG/v4iMArBPCvsQQ5spJgYwtBrRh/RC6/r+ut0FlahOAuUk1n478PQaxiUoYAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABANv9fgAEAvcTq2i0HY94AAAAASUVORK5CYII=\"","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./W2PPintura.vue?vue&type=style&index=0&id=6fe1c071&prod&lang=scss\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"3301cce0\", content, shadowRoot)\n};","'use strict';\nvar getBuiltIn = require('../internals/get-built-in');\nvar isCallable = require('../internals/is-callable');\nvar isPrototypeOf = require('../internals/object-is-prototype-of');\nvar USE_SYMBOL_AS_UID = require('../internals/use-symbol-as-uid');\n\nvar $Object = Object;\n\nmodule.exports = USE_SYMBOL_AS_UID ? function (it) {\n  return typeof it == 'symbol';\n} : function (it) {\n  var $Symbol = getBuiltIn('Symbol');\n  return isCallable($Symbol) && isPrototypeOf($Symbol.prototype, $Object(it));\n};\n","export * from \"-!../../../../node_modules/vue-style-loader/index.js??ref--7-oneOf-1-0!../../../../node_modules/css-loader/dist/cjs.js??ref--7-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--7-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--7-oneOf-1-3!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./SmallDetailsLogoOnly.vue?vue&type=style&index=2&id=1e6bc25b&prod&lang=css\"","'use strict';\nvar check = function (it) {\n  return it && it.Math === Math && it;\n};\n\n// https://github.com/zloirock/core-js/issues/86#issuecomment-115759028\nmodule.exports =\n  // eslint-disable-next-line es/no-global-this -- safe\n  check(typeof globalThis == 'object' && globalThis) ||\n  check(typeof window == 'object' && window) ||\n  // eslint-disable-next-line no-restricted-globals -- safe\n  check(typeof self == 'object' && self) ||\n  check(typeof global == 'object' && global) ||\n  check(typeof this == 'object' && this) ||\n  // eslint-disable-next-line no-new-func -- fallback\n  (function () { return this; })() || Function('return this')();\n","'use strict';\nvar getBuiltIn = require('../internals/get-built-in');\n\nvar createSetLike = function (size) {\n  return {\n    size: size,\n    has: function () {\n      return false;\n    },\n    keys: function () {\n      return {\n        next: function () {\n          return { done: true };\n        }\n      };\n    }\n  };\n};\n\nmodule.exports = function (name) {\n  var Set = getBuiltIn('Set');\n  try {\n    new Set()[name](createSetLike(0));\n    try {\n      // late spec change, early WebKit ~ Safari 17.0 beta implementation does not pass it\n      // https://github.com/tc39/proposal-set-methods/pull/88\n      new Set()[name](createSetLike(-1));\n      return false;\n    } catch (error2) {\n      return true;\n    }\n  } catch (error) {\n    return false;\n  }\n};\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".item-row[data-v-be1d0792]{display:flex;font-size:14px;position:absolute;bottom:0;left:0;width:100%;background-color:#f4f4f4;align-items:center}.item-cancel[data-v-be1d0792]{flex:10%}.item-actions[data-v-be1d0792]{flex:90%}.item-actions__flexend[data-v-be1d0792]{display:flex;justify-content:flex-end;align-items:center}.item-actions__flexend .bx--btn--lg[data-v-be1d0792]:not(.bx--btn--icon-only){min-height:60px!important}.button[data-v-be1d0792]{width:20%}.item__padding[data-v-be1d0792]{padding-right:17.6px;padding-left:17.6px}.item-actions__link[data-v-be1d0792],.item__padding[data-v-be1d0792]{margin-left:10px;padding-top:16px;min-height:64px}.item-actions__cancel[data-v-be1d0792]{color:#525252;padding-top:16px;padding-right:16px;min-height:64px}.item-actions__msg[data-v-be1d0792]{color:#161616;padding-top:16px;min-height:64px;line-height:1.29}.item__link-pointer[data-v-be1d0792]{cursor:pointer}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".app{height:100%}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","'use strict';\nvar has = require('../internals/set-helpers').has;\n\n// Perform ? RequireInternalSlot(M, [[SetData]])\nmodule.exports = function (it) {\n  has(it);\n  return it;\n};\n","'use strict';\nvar aCallable = require('../internals/a-callable');\nvar isNullOrUndefined = require('../internals/is-null-or-undefined');\n\n// `GetMethod` abstract operation\n// https://tc39.es/ecma262/#sec-getmethod\nmodule.exports = function (V, P) {\n  var func = V[P];\n  return isNullOrUndefined(func) ? undefined : aCallable(func);\n};\n","'use strict';\n\n/** @type {import('./range')} */\nmodule.exports = RangeError;\n","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./CustomToolset.vue?vue&type=style&index=0&id=57a4bc0e&prod&lang=scss\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"05b396f6\", content, shadowRoot)\n};","export * from \"-!../../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PrintPositionBox.vue?vue&type=style&index=0&id=59834f29&prod&lang=scss\"","export * from \"-!../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./TheApp.vue?vue&type=style&index=0&id=cefe4200&prod&lang=scss&scoped=true\"","export * from \"-!../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PrintTechniqueImage.vue?vue&type=style&index=0&id=12e3f52e&prod&lang=scss&scoped=true\"","\"use strict\";\nvar __importDefault = (this && this.__importDefault) || function (mod) {\n    return (mod && mod.__esModule) ? mod : { \"default\": mod };\n};\nObject.defineProperty(exports, \"__esModule\", { value: true });\nexports.isSymbol = exports.isOneOf = exports.isInteger = exports.isInstanceOf = exports.vuePropValidator = void 0;\nconst vue_1 = __importDefault(require(\"vue\"));\n/**\n * Creates a Vue prop validator that runs all type validators and the user validator (if specified).\n * @param userValidator Validator function specified by the user.\n * @param typeValidators Validator functions hard-coded by the prop type function.\n */\nfunction vuePropValidator(userValidator, ...typeValidators) {\n    const validators = userValidator\n        ? [...typeValidators, userValidator]\n        : typeValidators;\n    if (validators.length === 0) {\n        return undefined;\n    }\n    return (value) => {\n        for (const validator of validators) {\n            const errorMessage = validator(value);\n            if (errorMessage) {\n                if (typeof vue_1.default === 'object' && 'util' in vue_1.default) {\n                    // @ts-expect-error -- Vue.util is only available in Vue 2, but provides more context than console.warn\n                    // eslint-disable-next-line @typescript-eslint/no-unsafe-member-access, @typescript-eslint/no-unsafe-call\n                    vue_1.default.util.warn(`${errorMessage} (received: '${String(value)}')`);\n                }\n                else {\n                    console.warn(`${errorMessage} (received: '${String(value)}')`);\n                }\n                return false;\n            }\n        }\n        return true;\n    };\n}\nexports.vuePropValidator = vuePropValidator;\n// for internal use only\nvar isInstanceOf_1 = require(\"./isInstanceOf\");\nObject.defineProperty(exports, \"isInstanceOf\", { enumerable: true, get: function () { return isInstanceOf_1.isInstanceOf; } });\nvar isInteger_1 = require(\"./isInteger\");\nObject.defineProperty(exports, \"isInteger\", { enumerable: true, get: function () { return isInteger_1.isInteger; } });\nvar isOneOf_1 = require(\"./isOneOf\");\nObject.defineProperty(exports, \"isOneOf\", { enumerable: true, get: function () { return isOneOf_1.isOneOf; } });\nvar isSymbol_1 = require(\"./isSymbol\");\nObject.defineProperty(exports, \"isSymbol\", { enumerable: true, get: function () { return isSymbol_1.isSymbol; } });\n// custom validators provided for user convenience are exported from main entrypoint\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".padding[data-v-5f42600e]{padding:10px}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","// .dirname, .basename, and .extname methods are extracted from Node.js v8.11.1,\n// backported and transplited with Babel, with backwards-compat fixes\n\n// Copyright Joyent, Inc. and other Node contributors.\n//\n// Permission is hereby granted, free of charge, to any person obtaining a\n// copy of this software and associated documentation files (the\n// \"Software\"), to deal in the Software without restriction, including\n// without limitation the rights to use, copy, modify, merge, publish,\n// distribute, sublicense, and/or sell copies of the Software, and to permit\n// persons to whom the Software is furnished to do so, subject to the\n// following conditions:\n//\n// The above copyright notice and this permission notice shall be included\n// in all copies or substantial portions of the Software.\n//\n// THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS\n// OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF\n// MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN\n// NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,\n// DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR\n// OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE\n// USE OR OTHER DEALINGS IN THE SOFTWARE.\n\n// resolves . and .. elements in a path array with directory names there\n// must be no slashes, empty elements, or device names (c:\\) in the array\n// (so also no leading and trailing slashes - it does not distinguish\n// relative and absolute paths)\nfunction normalizeArray(parts, allowAboveRoot) {\n  // if the path tries to go above the root, `up` ends up > 0\n  var up = 0;\n  for (var i = parts.length - 1; i >= 0; i--) {\n    var last = parts[i];\n    if (last === '.') {\n      parts.splice(i, 1);\n    } else if (last === '..') {\n      parts.splice(i, 1);\n      up++;\n    } else if (up) {\n      parts.splice(i, 1);\n      up--;\n    }\n  }\n\n  // if the path is allowed to go above the root, restore leading ..s\n  if (allowAboveRoot) {\n    for (; up--; up) {\n      parts.unshift('..');\n    }\n  }\n\n  return parts;\n}\n\n// path.resolve([from ...], to)\n// posix version\nexports.resolve = function() {\n  var resolvedPath = '',\n      resolvedAbsolute = false;\n\n  for (var i = arguments.length - 1; i >= -1 && !resolvedAbsolute; i--) {\n    var path = (i >= 0) ? arguments[i] : process.cwd();\n\n    // Skip empty and invalid entries\n    if (typeof path !== 'string') {\n      throw new TypeError('Arguments to path.resolve must be strings');\n    } else if (!path) {\n      continue;\n    }\n\n    resolvedPath = path + '/' + resolvedPath;\n    resolvedAbsolute = path.charAt(0) === '/';\n  }\n\n  // At this point the path should be resolved to a full absolute path, but\n  // handle relative paths to be safe (might happen when process.cwd() fails)\n\n  // Normalize the path\n  resolvedPath = normalizeArray(filter(resolvedPath.split('/'), function(p) {\n    return !!p;\n  }), !resolvedAbsolute).join('/');\n\n  return ((resolvedAbsolute ? '/' : '') + resolvedPath) || '.';\n};\n\n// path.normalize(path)\n// posix version\nexports.normalize = function(path) {\n  var isAbsolute = exports.isAbsolute(path),\n      trailingSlash = substr(path, -1) === '/';\n\n  // Normalize the path\n  path = normalizeArray(filter(path.split('/'), function(p) {\n    return !!p;\n  }), !isAbsolute).join('/');\n\n  if (!path && !isAbsolute) {\n    path = '.';\n  }\n  if (path && trailingSlash) {\n    path += '/';\n  }\n\n  return (isAbsolute ? '/' : '') + path;\n};\n\n// posix version\nexports.isAbsolute = function(path) {\n  return path.charAt(0) === '/';\n};\n\n// posix version\nexports.join = function() {\n  var paths = Array.prototype.slice.call(arguments, 0);\n  return exports.normalize(filter(paths, function(p, index) {\n    if (typeof p !== 'string') {\n      throw new TypeError('Arguments to path.join must be strings');\n    }\n    return p;\n  }).join('/'));\n};\n\n\n// path.relative(from, to)\n// posix version\nexports.relative = function(from, to) {\n  from = exports.resolve(from).substr(1);\n  to = exports.resolve(to).substr(1);\n\n  function trim(arr) {\n    var start = 0;\n    for (; start < arr.length; start++) {\n      if (arr[start] !== '') break;\n    }\n\n    var end = arr.length - 1;\n    for (; end >= 0; end--) {\n      if (arr[end] !== '') break;\n    }\n\n    if (start > end) return [];\n    return arr.slice(start, end - start + 1);\n  }\n\n  var fromParts = trim(from.split('/'));\n  var toParts = trim(to.split('/'));\n\n  var length = Math.min(fromParts.length, toParts.length);\n  var samePartsLength = length;\n  for (var i = 0; i < length; i++) {\n    if (fromParts[i] !== toParts[i]) {\n      samePartsLength = i;\n      break;\n    }\n  }\n\n  var outputParts = [];\n  for (var i = samePartsLength; i < fromParts.length; i++) {\n    outputParts.push('..');\n  }\n\n  outputParts = outputParts.concat(toParts.slice(samePartsLength));\n\n  return outputParts.join('/');\n};\n\nexports.sep = '/';\nexports.delimiter = ':';\n\nexports.dirname = function (path) {\n  if (typeof path !== 'string') path = path + '';\n  if (path.length === 0) return '.';\n  var code = path.charCodeAt(0);\n  var hasRoot = code === 47 /*/*/;\n  var end = -1;\n  var matchedSlash = true;\n  for (var i = path.length - 1; i >= 1; --i) {\n    code = path.charCodeAt(i);\n    if (code === 47 /*/*/) {\n        if (!matchedSlash) {\n          end = i;\n          break;\n        }\n      } else {\n      // We saw the first non-path separator\n      matchedSlash = false;\n    }\n  }\n\n  if (end === -1) return hasRoot ? '/' : '.';\n  if (hasRoot && end === 1) {\n    // return '//';\n    // Backwards-compat fix:\n    return '/';\n  }\n  return path.slice(0, end);\n};\n\nfunction basename(path) {\n  if (typeof path !== 'string') path = path + '';\n\n  var start = 0;\n  var end = -1;\n  var matchedSlash = true;\n  var i;\n\n  for (i = path.length - 1; i >= 0; --i) {\n    if (path.charCodeAt(i) === 47 /*/*/) {\n        // If we reached a path separator that was not part of a set of path\n        // separators at the end of the string, stop now\n        if (!matchedSlash) {\n          start = i + 1;\n          break;\n        }\n      } else if (end === -1) {\n      // We saw the first non-path separator, mark this as the end of our\n      // path component\n      matchedSlash = false;\n      end = i + 1;\n    }\n  }\n\n  if (end === -1) return '';\n  return path.slice(start, end);\n}\n\n// Uses a mixed approach for backwards-compatibility, as ext behavior changed\n// in new Node.js versions, so only basename() above is backported here\nexports.basename = function (path, ext) {\n  var f = basename(path);\n  if (ext && f.substr(-1 * ext.length) === ext) {\n    f = f.substr(0, f.length - ext.length);\n  }\n  return f;\n};\n\nexports.extname = function (path) {\n  if (typeof path !== 'string') path = path + '';\n  var startDot = -1;\n  var startPart = 0;\n  var end = -1;\n  var matchedSlash = true;\n  // Track the state of characters (if any) we see before our first dot and\n  // after any path separator we find\n  var preDotState = 0;\n  for (var i = path.length - 1; i >= 0; --i) {\n    var code = path.charCodeAt(i);\n    if (code === 47 /*/*/) {\n        // If we reached a path separator that was not part of a set of path\n        // separators at the end of the string, stop now\n        if (!matchedSlash) {\n          startPart = i + 1;\n          break;\n        }\n        continue;\n      }\n    if (end === -1) {\n      // We saw the first non-path separator, mark this as the end of our\n      // extension\n      matchedSlash = false;\n      end = i + 1;\n    }\n    if (code === 46 /*.*/) {\n        // If this is our first dot, mark it as the start of our extension\n        if (startDot === -1)\n          startDot = i;\n        else if (preDotState !== 1)\n          preDotState = 1;\n    } else if (startDot !== -1) {\n      // We saw a non-dot and non-path separator before our dot, so we should\n      // have a good chance at having a non-empty extension\n      preDotState = -1;\n    }\n  }\n\n  if (startDot === -1 || end === -1 ||\n      // We saw a non-dot character immediately before the dot\n      preDotState === 0 ||\n      // The (right-most) trimmed path component is exactly '..'\n      preDotState === 1 && startDot === end - 1 && startDot === startPart + 1) {\n    return '';\n  }\n  return path.slice(startDot, end);\n};\n\nfunction filter (xs, f) {\n    if (xs.filter) return xs.filter(f);\n    var res = [];\n    for (var i = 0; i < xs.length; i++) {\n        if (f(xs[i], i, xs)) res.push(xs[i]);\n    }\n    return res;\n}\n\n// String.prototype.substr - negative index don't work in IE8\nvar substr = 'ab'.substr(-1) === 'b'\n    ? function (str, start, len) { return str.substr(start, len) }\n    : function (str, start, len) {\n        if (start < 0) start = str.length + start;\n        return str.substr(start, len);\n    }\n;\n","\"use strict\";\nObject.defineProperty(exports, \"__esModule\", { value: true });\nexports.anyProp = void 0;\nconst util_1 = require(\"../util\");\n/**\n * Allows any type. No built-in runtime validation is performed by default.\n *\n * Type parameter `T` can be used to restrict the type at compile time.\n *\n * @param validator - Optional function for runtime validation; should return `undefined` if valid, or an error string if invalid.\n */\nconst anyProp = (validator) => (0, util_1.propOptionsGenerator)(undefined, validator);\nexports.anyProp = anyProp;\n","export * from \"-!../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./Tiptap.vue?vue&type=style&index=0&id=404f2a36&prod&lang=scss\"","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./ImageThumbnail.vue?vue&type=style&index=0&id=07f9ae33&prod&lang=scss&scoped=true\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"40f38fdd\", content, shadowRoot)\n};","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".notifications-header[data-v-62678cad]{display:flex;justify-content:space-between}.notifications-header__btn[data-v-62678cad]{display:inline-block;position:absolute;width:222px;height:56px;border-radius:50px;left:20px;background:#fff;border:none;display:flex;justify-content:space-between}.notifications-header__bell-icon[data-v-62678cad]{margin-left:5px;color:var(--color)}.notifications-header__down-icon[data-v-62678cad]{margin-right:5px;color:var(--color)}.notifications-header__label[data-v-62678cad]{margin-top:4px;font-family:Roboto;font-size:14px;color:var(--color)}.notifications-header__dot[data-v-62678cad]{height:8px;width:8px;background-color:var(--color);border-radius:50%;border:1px solid #fff;display:flex;position:absolute;margin-left:20px;margin-top:2px}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","\"use strict\";\nObject.defineProperty(exports, \"__esModule\", { value: true });\nexports.functionProp = void 0;\nconst validators_1 = require(\"../validators\");\n/* eslint-disable @typescript-eslint/ban-types */\n/**\n * Allows any function. No further runtime validation is performed by default.\n *\n * Type parameter `T` can be used to restrict the type to a specific function signature at compile time.\n *\n * @param validator - Optional function for further runtime validation; should return `undefined` if valid, or an error string if invalid.\n */\nconst functionProp = (validator) => ({\n    optional: {\n        type: Function,\n        required: false,\n        default: undefined,\n        validator: (0, validators_1.vuePropValidator)(validator),\n    },\n    nullable: {\n        type: Function,\n        required: false,\n        default: null,\n        validator: (0, validators_1.vuePropValidator)(validator),\n    },\n    required: {\n        type: Function,\n        required: true,\n        validator: (0, validators_1.vuePropValidator)(validator),\n    },\n});\nexports.functionProp = functionProp;\n","export * from \"-!../../../../node_modules/vue-style-loader/index.js??ref--7-oneOf-1-0!../../../../node_modules/css-loader/dist/cjs.js??ref--7-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--7-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--7-oneOf-1-3!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./LanyardPanel.vue?vue&type=style&index=1&id=595e6565&prod&lang=css\"","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./TheApp.vue?vue&type=style&index=1&id=49f655d7&prod&lang=scss\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"ce7f17f2\", content, shadowRoot)\n};","'use strict';\nvar NATIVE_BIND = require('../internals/function-bind-native');\n\nvar FunctionPrototype = Function.prototype;\nvar call = FunctionPrototype.call;\nvar uncurryThisWithBind = NATIVE_BIND && FunctionPrototype.bind.bind(call, call);\n\nmodule.exports = NATIVE_BIND ? uncurryThisWithBind : function (fn) {\n  return function () {\n    return call.apply(fn, arguments);\n  };\n};\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".small-details[data-v-1e6bc25b]{padding:0!important}.close-icon[data-v-1e6bc25b]{right:7px;top:0}.ml-5[data-v-1e6bc25b]{margin-left:5px}.ml-20[data-v-1e6bc25b]{margin-left:20px}.mr-20[data-v-1e6bc25b]{margin-right:20px}.fs-20[data-v-1e6bc25b]{font-size:20px}.fs-14[data-v-1e6bc25b]{font-size:14px}.p-15[data-v-1e6bc25b]{padding:15px}.header[data-v-1e6bc25b]{font-weight:400;font-stretch:normal;font-style:normal;line-height:1.3;letter-spacing:normal;color:var(--gray-100)}.mt-5[data-v-1e6bc25b]{margin-top:5px}.mt-10[data-v-1e6bc25b]{margin-top:10px}.mt-2[data-v-1e6bc25b]{margin-top:2px}.mt-30[data-v-1e6bc25b]{margin-top:30px}.mb-30[data-v-1e6bc25b]{margin-bottom:30px}.label[data-v-1e6bc25b]{display:block;font-size:14px;font-weight:400;font-stretch:normal;font-style:normal;line-height:1.43;letter-spacing:.16px;color:var(--gray-100);margin-left:15px}.gray-bc[data-v-1e6bc25b]{background-color:#f4f4f4}.remove-default-marign[data-v-1e6bc25b]{margin-left:-3%;margin-right:-3%}.progress-shadow[data-v-1e6bc25b]{height:8px;background-image:linear-gradient(red,red),linear-gradient(orange,orange),linear-gradient(green,green);opacity:.12;background-size:33%,67%,100%;border-radius:4px;background-repeat:no-repeat}.progress-shadow[data-v-1e6bc25b]:before{content:\\\"\\\";display:flex;justify-content:flex-end;height:100%;margin-top:20px}.progress[data-v-1e6bc25b]{width:100%;height:100%;position:absolute;top:0;left:0;z-index:10}.progress[data-v-1e6bc25b]:before{height:8px;border-radius:4px;background-repeat:no-repeat;content:\\\"\\\";display:flex;justify-content:flex-end;height:100%;width:calc(var(--percent)*1%);background-image:linear-gradient(green,green),linear-gradient(orange,orange),linear-gradient(red,red);background-size:calc((var(--percent) - 67)*100%) 100%,calc((var(--percent) - 33)*100%) 100%,100% 100%}.status[data-v-1e6bc25b]{font-family:Roboto;font-size:16px;font-weight:400;font-stretch:normal;font-style:normal;line-height:1.38;letter-spacing:normal;color:#c6c6c6}.middle[data-v-1e6bc25b]{margin:0 auto}.right[data-v-1e6bc25b]{margin-right:20px}.left[data-v-1e6bc25b]{margin-left:20px}.progress-container[data-v-1e6bc25b]{height:96px;background-color:#f5f5f5;width:100%}.image[data-v-1e6bc25b]{max-width:500px;max-height:300px}.bold[data-v-1e6bc25b]{font-weight:700;line-height:1.38}.bold[data-v-1e6bc25b],.percentage[data-v-1e6bc25b]{font-size:16px;font-stretch:normal;font-style:normal;letter-spacing:normal;color:#262626}.percentage[data-v-1e6bc25b]{font-weight:400;line-height:normal;margin-left:calc((var(--percent) - 5)*1%)}.img-container[data-v-1e6bc25b]{position:relative;box-sizing:border-box;mix-blend-mode:darken}.png-image[data-v-1e6bc25b]{max-width:100%;max-height:100%;-o-object-fit:contain;object-fit:contain;padding:15px}.file-name-label[data-v-1e6bc25b]{font-size:14px;line-height:1.43;letter-spacing:.16px;color:#161616}.progress-line[data-v-1e6bc25b]{height:3px}.bottom-position[data-v-1e6bc25b]{bottom:15%}.full-line[data-v-1e6bc25b]{height:1px;border:1px solid #f4f4f4}.font-color[data-v-1e6bc25b]{color:#c6c6c6}.flex-column[data-v-1e6bc25b]{display:flex;flex-direction:column}.slider-container[data-v-1e6bc25b]{position:relative;padding-top:15px;padding-bottom:15px}.title2[data-v-1e6bc25b]{margin-top:10px!important;font-size:20px;font-weight:400;font-stretch:normal;font-style:normal;line-height:1.3;letter-spacing:normal;color:var(--gray-100)}.row[data-v-1e6bc25b]{display:flex}.column[data-v-1e6bc25b]{float:left}.mt-15[data-v-1e6bc25b]{margin-top:15px}.ml-15[data-v-1e6bc25b]{margin-left:15px}.mt-17[data-v-1e6bc25b]{margin-top:17px}.desc[data-v-1e6bc25b]{font-weight:400;line-height:1.43;color:var(--gray-100)}.desc[data-v-1e6bc25b],.logos-to-check[data-v-1e6bc25b]{font-size:14px;font-stretch:normal;font-style:normal;letter-spacing:.16px}.logos-to-check[data-v-1e6bc25b]{font-weight:700;line-height:1.29;color:#231f20}.center[data-v-1e6bc25b]{display:flex;justify-content:center}.image2[data-v-1e6bc25b]{max-width:100%;max-height:250px;-o-object-fit:contain;object-fit:contain;padding:10px}.bc-gray[data-v-1e6bc25b]{background-color:#f4f4f4;height:100%;display:flex;justify-content:center;align-content:center;flex-direction:column}.logo-primary[data-v-1e6bc25b]{margin-top:15px;font-size:14px;line-height:1.43;letter-spacing:.16px;color:var(--gray-100)}.status2[data-v-1e6bc25b]{font-size:16px;font-weight:700;line-height:1.38;color:var(--gray-100)}.progress-container-2[data-v-1e6bc25b]{width:80%;height:31px;margin-top:15px;background-color:#f4f4f4;position:relative;display:flex;justify-content:center;align-content:center;flex-direction:column;padding:10px}.progress-shadow-second[data-v-1e6bc25b]{height:2px;background-image:linear-gradient(red,red),linear-gradient(orange,orange),linear-gradient(green,green);opacity:.2;background-size:33%,67%,100%;border-radius:4px;background-repeat:no-repeat}.progress-shadow-second[data-v-1e6bc25b]:before{content:\\\"\\\";display:flex;justify-content:flex-end;height:100%}.progress-second[data-v-1e6bc25b]{width:100%;height:100%;position:absolute;z-index:10;height:2px}.progress-second[data-v-1e6bc25b]:before{border-radius:4px;background-repeat:no-repeat;content:\\\"\\\";display:flex;justify-content:flex-end;height:100%;max-width:90%;width:calc(var(--percent)*1%);background-image:linear-gradient(green,green),linear-gradient(orange,orange),linear-gradient(red,red);background-size:calc((var(--percent) - 67)*100%) 100%,calc((var(--percent) - 33)*100%) 100%,100% 100%}.aceept-logos[data-v-1e6bc25b]{margin-top:20px;font-size:14px;width:80%;line-height:1.29;letter-spacing:.16px;color:var(--gray-100)}.close-icon[data-v-1e6bc25b]{position:absolute;right:15px;cursor:pointer}.close-icon[data-v-1e6bc25b]:hover{background:#d3d3d3}.mt-4[data-v-1e6bc25b]{margin-top:4px}.line[data-v-1e6bc25b]{margin-top:30px;width:85%;height:1px;border:1px solid #f4f4f4}.circle-positive-loss[data-v-1e6bc25b]{background-color:#f0f}.circle-negative-loss[data-v-1e6bc25b],.circle-positive-loss[data-v-1e6bc25b]{width:16px;height:16px;margin:2px 8px 8px 0;border-radius:8px}.circle-negative-loss[data-v-1e6bc25b]{background-color:#1403ff}.no-check-label[data-v-1e6bc25b]{margin-top:10px;font-size:16px;font-weight:700;line-height:1.38;color:#0043ce}.progress-container-3[data-v-1e6bc25b]{width:80%;height:31px;margin-top:15px;background-color:#f4f4f4;position:relative;display:flex;justify-content:center;align-content:center;flex-direction:column;padding:10px}.progress-line[data-v-1e6bc25b]{height:2px;padding:0 0 0 40px;border-radius:4px;background-color:#c6c6c6}.gray-circle[data-v-1e6bc25b]{width:16px;height:16px;margin:2px 8px 8px 0;border-radius:8px;background-color:#e0e0e0}.gray-font-color[data-v-1e6bc25b]{color:#c6c6c6}.regular-font-color[data-v-1e6bc25b]{color:#262626}.regular-font[data-v-1e6bc25b]{font-size:14px;max-width:75%;overflow-wrap:break-word}.accept-logo[data-v-1e6bc25b]{margin-top:20px;font-size:14px;width:90%;line-height:1.29;letter-spacing:.16px;color:var(--gray-100)}.logo-only-small-details[data-v-1e6bc25b]{padding:0!important;margin-top:10px;margin-bottom:20px}.logo-name[data-v-1e6bc25b]{font-size:12px}.centered[data-v-1e6bc25b]{height:410px;justify-content:center}.centered[data-v-1e6bc25b],.zoom-in-out[data-v-1e6bc25b]{display:flex;align-items:center}.zoom-in-out[data-v-1e6bc25b]{cursor:pointer;margin-left:20px}.zoom-in-out span[data-v-1e6bc25b]{margin:0 5px;-webkit-user-select:none;-moz-user-select:none;user-select:none}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../node_modules/css-loader/dist/cjs.js??ref--7-oneOf-1-1!../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../node_modules/postcss-loader/src/index.js??ref--7-oneOf-1-2!../../../node_modules/postcss-loader/src/index.js??ref--7-oneOf-1-3!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./QuestionAboutWhiteReplace.vue?vue&type=style&index=0&id=792f7dd1&prod&scoped=true&lang=css\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"0b217da0\", content, shadowRoot)\n};","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./OrderDetails.vue?vue&type=style&index=1&id=a8f26848&prod&lang=scss&scoped=true\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"03ae965e\", content, shadowRoot)\n};","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PinturaSidebar.vue?vue&type=style&index=1&id=073aee35&prod&lang=scss\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"02e4f876\", content, shadowRoot)\n};","export * from \"-!../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./w2pPintura.vue?vue&type=style&index=0&id=07faefe4&prod&lang=scss\"","export * from \"-!../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./w2pFileUploader.vue?vue&type=style&index=0&id=3232c25d&prod&lang=scss\"","import { createApi } from '../http/http-common';\r\nimport {\r\n  Artwork,\r\n  ArtworkResult,\r\n  VFileUploaderFile,\r\n} from '@/components/w2pFileUploader';\r\nimport { AxiosResponse } from 'axios';\r\nimport {\r\n  ChangeColorCommand,\r\n  ChangeColorResult,\r\n  RemoveColorCommand,\r\n  ArtworkBackgroundResult,\r\n  RemoveColorResult,\r\n  DetectColorsResult,\r\n} from '@/web-components/import-wizard/typings';\r\nimport {\r\n  authHandler,\r\n  invalidTokenHandler,\r\n  validTokenHandler,\r\n} from './interceptor-handlers/AuthHandler';\r\nimport {\r\n  SetArtworkBackgroundCommand,\r\n  DoRoundCroppingCommand,\r\n  ChangeColorsCommand,\r\n  RoundCroppingResult,\r\n} from '@/web-components/import-wizard/typings/colorManagement/colorManagement';\r\nimport {\r\n  CheckImageSmallDetailsCommand,\r\n  ProcessTextCommand,\r\n  SmallDetailsResult,\r\n} from '@/typings/SmallDetails';\r\nimport { PmsColor } from '@midocean/webapps-shared-domain';\r\nimport { ProcessTextResult } from '@/components/w2pFileUploader/typings/Artwork';\r\n\r\nconst imageProcessingAPI = createApi({\r\n  BASE_URL: process.env.VUE_APP_IMAGE_PROCESSING_BASE_URL,\r\n});\r\n\r\n// Setup interceptors for the ImageProccesing API\r\nimageProcessingAPI.interceptors.request.use(authHandler, function (error) {\r\n  return Promise.reject(error);\r\n});\r\nimageProcessingAPI.interceptors.response.use(\r\n  validTokenHandler,\r\n  invalidTokenHandler\r\n);\r\n\r\nexport default {\r\n  upload(\r\n    data: Artwork,\r\n    file: VFileUploaderFile\r\n  ): Promise<AxiosResponse<ArtworkResult>> {\r\n    const formData = new FormData();\r\n    formData.append('file', file.file);\r\n    formData.append('json', JSON.stringify(data));\r\n    return imageProcessingAPI.post(`artworks/processArtwork`, formData, {\r\n      headers: {\r\n        'Content-type': 'multipart/form-data',\r\n      },\r\n    });\r\n  },\r\n\r\n  textToImage(\r\n    command: ProcessTextCommand\r\n  ): Promise<AxiosResponse<ProcessTextResult>> {\r\n    return imageProcessingAPI.post(`artworks/processText`, command);\r\n  },\r\n\r\n  roundCropping(\r\n    pngFile: string | Blob,\r\n    command: DoRoundCroppingCommand\r\n  ): Promise<AxiosResponse<RoundCroppingResult>> {\r\n    const formData = new FormData();\r\n    formData.append('file', pngFile);\r\n    formData.append('json', JSON.stringify(command));\r\n    return imageProcessingAPI.post('artworks/roundCropping', formData);\r\n  },\r\n\r\n  changeLogoBackground(\r\n    pngFile: string | Blob,\r\n    command: SetArtworkBackgroundCommand\r\n  ): Promise<AxiosResponse<ArtworkBackgroundResult>> {\r\n    const formData = new FormData();\r\n    formData.append('file', pngFile);\r\n    formData.append('json', JSON.stringify(command));\r\n    return imageProcessingAPI.post('artworks/setBackground', formData);\r\n  },\r\n  getAvailablePmsColors(\r\n    technique?: string\r\n  ): Promise<AxiosResponse<PmsColor[]>> {\r\n    if (technique) {\r\n      return imageProcessingAPI.get(\r\n        `availablePmsColors?techniqueCode=` + technique\r\n      );\r\n    } else {\r\n      return imageProcessingAPI.get(`availablePmsColors`);\r\n    }\r\n  },\r\n\r\n  replaceColors(\r\n    command: ChangeColorsCommand,\r\n    file: Blob\r\n  ): Promise<AxiosResponse<string>> {\r\n    const formData = new FormData();\r\n    formData.append('file', file, `file`);\r\n    formData.append('command', JSON.stringify(command));\r\n    return imageProcessingAPI.post(`artworks/ChangeColors`, formData, {\r\n      headers: {\r\n        'Content-type': 'multipart/form-data',\r\n      },\r\n    });\r\n  },\r\n\r\n  replaceColor(\r\n    command: ChangeColorCommand,\r\n    files: Blob[]\r\n  ): Promise<AxiosResponse<ChangeColorResult>> {\r\n    const formData = new FormData();\r\n    files.forEach((file, index) => {\r\n      formData.append('files', file, `file-${index + 1}`);\r\n    });\r\n    formData.append('command', JSON.stringify(command));\r\n    return imageProcessingAPI.post(`artworks/ChangeColor`, formData, {\r\n      headers: {\r\n        'Content-type': 'multipart/form-data',\r\n      },\r\n    });\r\n  },\r\n\r\n  detectColors(\r\n    file: Blob,\r\n    doTrimming: boolean\r\n  ): Promise<AxiosResponse<DetectColorsResult>> {\r\n    const formData = new FormData();\r\n\r\n    formData.append('doTrimming', doTrimming.toString());\r\n    formData.append('file', file, 'cropped-image.png');\r\n\r\n    return imageProcessingAPI.post(`artworks/DetectColors`, formData, {\r\n      headers: {\r\n        'Content-type': 'multipart/form-data',\r\n      },\r\n    });\r\n  },\r\n  async removeColor(\r\n    command: RemoveColorCommand,\r\n    files: Blob[]\r\n  ): Promise<AxiosResponse<RemoveColorResult[]>> {\r\n    const formData = new FormData();\r\n    files.forEach((file, index) => {\r\n      formData.append('files', file, `file-${index + 1}`);\r\n    });\r\n    formData.append('command', JSON.stringify(command));\r\n    const result = await imageProcessingAPI.post(\r\n      `artworks/RemoveColor`,\r\n      formData,\r\n      {\r\n        headers: {\r\n          'Content-type': 'multipart/form-data',\r\n        },\r\n      }\r\n    );\r\n    return result;\r\n  },\r\n\r\n  applyLaserEffect(pngFile: Blob | string, config: string): Promise<any> {\r\n    const formData = new FormData();\r\n    formData.append('file', pngFile || '');\r\n    formData.append('command', config);\r\n\r\n    const result: Promise<any> = imageProcessingAPI.post(\r\n      `artworks/SetLaserEffect`,\r\n      formData,\r\n      {\r\n        headers: {\r\n          'Content-type': 'multipart/form-data',\r\n        },\r\n      }\r\n    );\r\n    return result;\r\n  },\r\n\r\n  applyDebossingEffect(pngFile: Blob | string, command: string): Promise<any> {\r\n    const formData = new FormData();\r\n    formData.append('file', pngFile || '');\r\n    formData.append('command', command);\r\n\r\n    const result: Promise<any> = imageProcessingAPI.post(\r\n      `artworks/SetDebossingEffect`,\r\n      formData,\r\n      {\r\n        headers: {\r\n          'Content-type': 'multipart/form-data',\r\n        },\r\n      }\r\n    );\r\n    return result;\r\n  },\r\n\r\n  applySublimationEffect(\r\n    command: string,\r\n    artworkFile: Blob,\r\n    backgroundFile: Blob\r\n  ): Promise<any> {\r\n    const formData = new FormData();\r\n    formData.append('command', command);\r\n    formData.append('files', artworkFile, 'artwork');\r\n    formData.append('files', backgroundFile, 'background');\r\n\r\n    const result: Promise<any> = imageProcessingAPI.post(\r\n      `artworks/SetSublimationEffect`,\r\n      formData,\r\n      {\r\n        headers: {\r\n          'Content-type': 'multipart/form-data',\r\n        },\r\n      }\r\n    );\r\n    return result;\r\n  },\r\n\r\n  checkImageSmallDetails(\r\n    command: CheckImageSmallDetailsCommand,\r\n    file: Blob\r\n  ): Promise<AxiosResponse<SmallDetailsResult>> {\r\n    const formData = new FormData();\r\n    formData.append('json', JSON.stringify(command));\r\n    formData.append('file', file);\r\n\r\n    return imageProcessingAPI.post(`smalldetails`, formData, {\r\n      headers: {\r\n        'Content-type': 'multipart/form-data',\r\n      },\r\n    });\r\n  },\r\n};\r\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".flow-starter-footer[data-v-ca9025c8]{display:flex;flex-direction:row}.nextButton[data-v-ca9025c8]:disabled{border-color:#393939!important;border-width:0 0 0 1px}.item-row[data-v-ca9025c8]{display:flex;font-size:14px;position:absolute;bottom:0;width:100%;background-color:#fff}.flow-starter-footer--cancel[data-v-ca9025c8]{flex:10%;padding:17px;margin-left:10px;font-size:15px;cursor:pointer}.item-actions[data-v-ca9025c8]{flex:90%}.flow-starter-footer--flexend[data-v-ca9025c8]{display:flex;justify-content:flex-end}.button[data-v-ca9025c8]{width:150px;min-height:65px}.flow-starter-footer--padding[data-v-ca9025c8]{padding:17px}.flow-starter-footer--link[data-v-ca9025c8]{margin-left:10px}.item-actions__msg[data-v-ca9025c8]{color:#161616}.flow-starter-footer--pointer[data-v-ca9025c8]{cursor:pointer}.bx--btn[data-v-ca9025c8]{padding:17px 63px 12px 15px;max-width:150px}.bx--btn[data-v-ca9025c8],.bx--link[data-v-ca9025c8]{font-size:14px}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","'use strict';\n\n/**\n * Creates a new URL by combining the specified URLs\n *\n * @param {string} baseURL The base URL\n * @param {string} relativeURL The relative URL\n * @returns {string} The combined URL\n */\nmodule.exports = function combineURLs(baseURL, relativeURL) {\n  return relativeURL\n    ? baseURL.replace(/\\/+$/, '') + '/' + relativeURL.replace(/^\\/+/, '')\n    : baseURL;\n};\n","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./IconTextButton.vue?vue&type=style&index=0&id=78b1d6a6&prod&lang=scss\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"26540b69\", content, shadowRoot)\n};","import {\r\n  LaserConverter,\r\n  RemoveBackgroundFull,\r\n  RemoveBackgroundOutsideImage,\r\n  RemoveColor,\r\n  ReplaceColor,\r\n  UserActionData,\r\n} from '@/web-components/import-wizard/typings';\r\nimport { defineStore } from 'pinia';\r\nimport {\r\n  CropInput,\r\n  RemoveBackgroundFullInput,\r\n  RemoveBackgroundOutsideImageInput,\r\n  RemoveColorInput,\r\n  ReplaceColorInput,\r\n  UserActionInputType,\r\n  UserAction,\r\n  PmsColor,\r\n} from '@midocean/webapps-shared-domain';\r\n\r\nconst REMOVE_COLOR_ACTION = 'createRemoveColorAction';\r\nconst REPLACE_COLOR_ACTION = 'createReplaceColorAction';\r\nconst REMOVE_BACKGROUND_FULL_ACTION = 'createRemoveBackgroundFullAction';\r\nconst REMOVE_BACKGROUND_OUTSIDE_ACTION =\r\n  'createRemoveBackgroundOutsideImageAction';\r\nconst LASER_CONVERTER_ACTION = 'createLaserConverterAction';\r\nconst CROP_ACTION = 'createCropAction';\r\n\r\nexport const useStore = defineStore({\r\n  id: 'actions',\r\n\r\n  state: () => {\r\n    return {\r\n      sequenceNum: 0,\r\n      actions: [] as UserActionData[],\r\n    };\r\n  },\r\n\r\n  actions: {\r\n    createRemoveColorAction(shapeId: string, colorToRemove: PmsColor) {\r\n      this.sequenceNum = this.sequenceNum + 1;\r\n      return {\r\n        seq: this.sequenceNum,\r\n        shapeId: shapeId,\r\n        action: {\r\n          $type: 'RemoveColor',\r\n          colorToRemove: colorToRemove,\r\n        },\r\n      };\r\n    },\r\n    createReplaceColorAction(shapeId: string, from: PmsColor, to: PmsColor) {\r\n      this.sequenceNum = this.sequenceNum + 1;\r\n      return {\r\n        seq: this.sequenceNum,\r\n        shapeId: shapeId,\r\n        action: {\r\n          $type: 'ReplaceColor',\r\n          colorToReplace: from,\r\n          replaceWith: to,\r\n        },\r\n      };\r\n    },\r\n    createRemoveBackgroundFullAction(\r\n      shapeId: string,\r\n      backgroundColor: PmsColor\r\n    ) {\r\n      this.sequenceNum = this.sequenceNum + 1;\r\n      return {\r\n        seq: this.sequenceNum,\r\n        shapeId: shapeId,\r\n        action: {\r\n          $type: 'RemoveBackgroundFull',\r\n          backgroundColor: backgroundColor,\r\n        },\r\n      };\r\n    },\r\n    createRemoveBackgroundOutsideImageAction(\r\n      shapeId: string,\r\n      backgroundColor: PmsColor\r\n    ) {\r\n      this.sequenceNum = this.sequenceNum + 1;\r\n      return {\r\n        seq: this.sequenceNum,\r\n        shapeId: shapeId,\r\n        action: {\r\n          $type: 'RemoveBackgroundOutsideImage',\r\n          backgroundColor: backgroundColor,\r\n        },\r\n      };\r\n    },\r\n    createLaserConverterAction(shapeId: string) {\r\n      this.sequenceNum = this.sequenceNum + 1;\r\n      return {\r\n        seq: this.sequenceNum,\r\n        shapeId: shapeId,\r\n        action: {\r\n          $type: 'LaserConverter',\r\n        },\r\n      };\r\n    },\r\n    createDebossingConverterAction(shapeId: string) {\r\n      this.sequenceNum = this.sequenceNum + 1;\r\n      return {\r\n        seq: this.sequenceNum,\r\n        shapeId: shapeId,\r\n        action: {\r\n          $type: 'DebossingConverter',\r\n        },\r\n      };\r\n    },\r\n    createPantoneConverterAction(shapeId: string) {\r\n      this.sequenceNum = this.sequenceNum + 1;\r\n      return {\r\n        seq: this.sequenceNum,\r\n        shapeId: shapeId,\r\n        action: {\r\n          $type: 'PantoneConverter',\r\n        },\r\n      };\r\n    },\r\n    createCropAction(\r\n      shapeId: string,\r\n      crop: { left: number; right: number; top: number; bottom: number }\r\n    ) {\r\n      this.sequenceNum = this.sequenceNum + 1;\r\n      return {\r\n        seq: this.sequenceNum,\r\n        shapeId: shapeId,\r\n        action: {\r\n          $type: 'Crop',\r\n          croppedFromLeftPct: crop.left,\r\n          croppedFromRightPct: crop.right,\r\n          croppedFromTopPct: crop.top,\r\n          croppedFromBottomPct: crop.bottom,\r\n        },\r\n      };\r\n    },\r\n    pushNewAction(action: UserActionData) {\r\n      this.actions.push({ ...action });\r\n    },\r\n    prepareActionsPayload(shapeId: string): UserAction[] {\r\n      const shapeUserActions: UserActionData[] = this.actions\r\n        .filter((action) => action.shapeId === shapeId)\r\n        .sort((a, b) => a.seq - b.seq);\r\n\r\n      const mapUserActions: UserAction[] = shapeUserActions.map(\r\n        (action, index) => {\r\n          return {\r\n            userActionType: action.action.$type,\r\n            sequenceNumber: index + 1,\r\n            userActionInput: {\r\n              ...action.action,\r\n              $type: UserActionInputType[action.action.$type],\r\n            },\r\n          } as UserAction;\r\n        }\r\n      );\r\n      return mapUserActions;\r\n    },\r\n\r\n    initializeUserActionForArtwork(shapeId: string, actions: UserAction[]) {\r\n      actions.map((act) => {\r\n        if (act.userActionType === 'LaserConverter') {\r\n          this.sequenceNum = this.sequenceNum + 1;\r\n          const action: UserActionData = {\r\n            seq: this.sequenceNum,\r\n            shapeId: shapeId,\r\n            action: {\r\n              $type: 'LaserConverter',\r\n            } as LaserConverter,\r\n          };\r\n\r\n          this.pushNewAction(action);\r\n          return;\r\n        }\r\n\r\n        if (act.userActionType === 'ReplaceColor') {\r\n          this.sequenceNum = this.sequenceNum + 1;\r\n          const replaceClrPayload = act.userActionInput as ReplaceColorInput;\r\n\r\n          const action: UserActionData = {\r\n            seq: this.sequenceNum,\r\n            shapeId: shapeId,\r\n            action: {\r\n              $type: 'ReplaceColor',\r\n              colorToReplace: replaceClrPayload.colorToReplace,\r\n              replaceWith: replaceClrPayload.replaceWith,\r\n            } as ReplaceColor,\r\n          };\r\n\r\n          this.pushNewAction(action);\r\n          return;\r\n        }\r\n\r\n        if (act.userActionType === 'RemoveColor') {\r\n          this.sequenceNum = this.sequenceNum + 1;\r\n          const removeClrPayload = act.userActionInput as RemoveColorInput;\r\n\r\n          const action: UserActionData = {\r\n            seq: this.sequenceNum,\r\n            shapeId: shapeId,\r\n            action: {\r\n              $type: 'RemoveColor',\r\n              colorToRemove: removeClrPayload.colorToRemove,\r\n            } as RemoveColor,\r\n          };\r\n\r\n          this.pushNewAction(action);\r\n          return;\r\n        }\r\n\r\n        if (act.userActionType === 'RemoveBackgroundOutsideImage') {\r\n          this.sequenceNum = this.sequenceNum + 1;\r\n          const removeBackClcOutsidePayload =\r\n            act.userActionInput as RemoveBackgroundOutsideImageInput;\r\n\r\n          const action: UserActionData = {\r\n            seq: this.sequenceNum,\r\n            shapeId: shapeId,\r\n            action: {\r\n              $type: 'RemoveBackgroundOutsideImage',\r\n              backgroundColor: removeBackClcOutsidePayload.backgroundColor,\r\n            } as RemoveBackgroundOutsideImage,\r\n          };\r\n\r\n          this.pushNewAction(action);\r\n          return;\r\n        }\r\n\r\n        if (act.userActionType === 'RemoveBackgroundFull') {\r\n          this.sequenceNum = this.sequenceNum + 1;\r\n          const removeBackClcFullPayload =\r\n            act.userActionInput as RemoveBackgroundFullInput;\r\n\r\n          const action: UserActionData = {\r\n            seq: this.sequenceNum,\r\n            shapeId: shapeId,\r\n            action: {\r\n              $type: 'RemoveBackgroundFull',\r\n              backgroundColor: removeBackClcFullPayload.backgroundColor,\r\n            } as RemoveBackgroundFull,\r\n          };\r\n\r\n          this.pushNewAction(action);\r\n          return;\r\n        }\r\n\r\n        if (act.userActionType === 'Crop') {\r\n          this.sequenceNum = this.sequenceNum + 1;\r\n          const cropPayload = act.userActionInput as CropInput;\r\n\r\n          const action: UserActionData = {\r\n            seq: this.sequenceNum,\r\n            shapeId: shapeId,\r\n            action: {\r\n              ...cropPayload,\r\n              $type: 'Crop',\r\n            } as CropInput,\r\n          };\r\n\r\n          this.pushNewAction(action);\r\n          return;\r\n        }\r\n      });\r\n    },\r\n  },\r\n});\r\n\r\nexport const attachActionSubscriber = (): (() => void) =>\r\n  useStore().$onAction(({ name, store, args, after, onError }) => {\r\n    after((result: unknown) => {\r\n      if (\r\n        name === REMOVE_BACKGROUND_FULL_ACTION ||\r\n        name === REMOVE_BACKGROUND_OUTSIDE_ACTION ||\r\n        name === REMOVE_COLOR_ACTION ||\r\n        name === REPLACE_COLOR_ACTION ||\r\n        name === LASER_CONVERTER_ACTION ||\r\n        name === CROP_ACTION\r\n      ) {\r\n        store.pushNewAction(result as UserActionData);\r\n      }\r\n    });\r\n\r\n    // this will trigger if the action throws or returns a promise that rejects\r\n    onError((error) => {\r\n      console.warn(`[ error ]: \"${name}\".\\nError: ${error}.`);\r\n    });\r\n  });\r\n","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./ActionsPanel.vue?vue&type=style&index=1&id=90b8cca0&prod&lang=scss\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"131d86ab\", content, shadowRoot)\n};","export * from \"-!../../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PinturaSidebar.vue?vue&type=style&index=0&id=073aee35&prod&lang=scss&scoped=true\"","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../node_modules/css-loader/dist/runtime/api.js\");\nvar ___CSS_LOADER_AT_RULE_IMPORT_0___ = require(\"-!../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!vue-js-modal/dist/styles.css\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\nexports.i(___CSS_LOADER_AT_RULE_IMPORT_0___);\n// Module\nexports.push([module.id, \".bx--dropdown[data-v-3e8fd6b9]{border-bottom:none}p[data-v-3e8fd6b9]{color:#000}.cv-header.bx--header[data-v-3e8fd6b9]{height:48px;display:flex;position:relative;background-color:#fff;border-bottom:1px solid #f4f4f4}.cv-header.bx--header span[data-v-3e8fd6b9]{font-size:1.25rem;font-weight:400;line-height:1.4;letter-spacing:0;color:#161616;font-size:20px}.cv-header.bx--header .cv-button.bx--btn[data-v-3e8fd6b9]{color:#000;margin-left:auto}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","'use strict';\nvar hasOwn = require('../internals/has-own-property');\nvar ownKeys = require('../internals/own-keys');\nvar getOwnPropertyDescriptorModule = require('../internals/object-get-own-property-descriptor');\nvar definePropertyModule = require('../internals/object-define-property');\n\nmodule.exports = function (target, source, exceptions) {\n  var keys = ownKeys(source);\n  var defineProperty = definePropertyModule.f;\n  var getOwnPropertyDescriptor = getOwnPropertyDescriptorModule.f;\n  for (var i = 0; i < keys.length; i++) {\n    var key = keys[i];\n    if (!hasOwn(target, key) && !(exceptions && hasOwn(exceptions, key))) {\n      defineProperty(target, key, getOwnPropertyDescriptor(source, key));\n    }\n  }\n};\n","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./OrderDetails.vue?vue&type=style&index=0&id=a8f26848&prod&lang=scss\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"59c75cdc\", content, shadowRoot)\n};","'use strict';\nvar classof = require('../internals/classof-raw');\n\n// `IsArray` abstract operation\n// https://tc39.es/ecma262/#sec-isarray\n// eslint-disable-next-line es/no-array-isarray -- safe\nmodule.exports = Array.isArray || function isArray(argument) {\n  return classof(argument) === 'Array';\n};\n","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PinturaSidebar.vue?vue&type=style&index=0&id=073aee35&prod&lang=scss&scoped=true\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"4fc95d80\", content, shadowRoot)\n};","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PrintPositionsManagerHeader.vue?vue&type=style&index=0&id=3e8fd6b9&prod&lang=scss&scoped=true\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"d6459050\", content, shadowRoot)\n};","'use strict';\nvar aSet = require('../internals/a-set');\nvar add = require('../internals/set-helpers').add;\nvar clone = require('../internals/set-clone');\nvar getSetRecord = require('../internals/get-set-record');\nvar iterateSimple = require('../internals/iterate-simple');\n\n// `Set.prototype.union` method\n// https://github.com/tc39/proposal-set-methods\nmodule.exports = function union(other) {\n  var O = aSet(this);\n  var keysIter = getSetRecord(other).getIterator();\n  var result = clone(O);\n  iterateSimple(keysIter, function (it) {\n    add(result, it);\n  });\n  return result;\n};\n","'use strict';\n// TODO: Remove from `core-js@4`\nrequire('../modules/es.set.is-disjoint-from.v2');\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".panel-content .bx--checkbox-label:before{width:16px;height:16px;font-size:14px;padding-left:8px}.panel-content .bx--checkbox-label:after{top:7px;left:7px;width:8px;height:3px}.panel-content .bx--form-item.bx--checkbox-wrapper:first-of-type{margin-top:8px}.panel-content .bx--checkbox-label-text{padding-left:10px;margin-top:3px;font-size:14px}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./OpenNotifications.vue?vue&type=style&index=0&id=ff8f7e6c&prod&lang=scss&scoped=true\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"467e8460\", content, shadowRoot)\n};","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".img-lanyard{width:50px;height:50px;margin-top:8px}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PrintPositionBox.vue?vue&type=style&index=1&id=59834f29&prod&lang=scss&scoped=true\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"1f971dec\", content, shadowRoot)\n};","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../node_modules/css-loader/dist/runtime/api.js\");\nvar ___CSS_LOADER_AT_RULE_IMPORT_0___ = require(\"-!../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!vue-slick-carousel/dist/vue-slick-carousel.css\");\nvar ___CSS_LOADER_AT_RULE_IMPORT_1___ = require(\"-!../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!vue-slick-carousel/dist/vue-slick-carousel-theme.css\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\nexports.i(___CSS_LOADER_AT_RULE_IMPORT_0___);\nexports.i(___CSS_LOADER_AT_RULE_IMPORT_1___);\n// Module\nexports.push([module.id, \".Oval-checkmark{width:32px;height:32px;border-radius:50%}.filtered-variants{display:inline-flex;vertical-align:top}.switch-color-component{width:30%}.title-switch-color{font-family:Roboto;font-size:12px;font-weight:400;font-stretch:normal;font-style:normal;line-height:1.33;letter-spacing:.32px;color:#525252}.checkmark{color:#f4f4f4;margin:3px}.slick-next,.slick-prev{color:#000;display:flex;align-items:center}.slick-next:hover,.slick-prev:hover{color:#000}.slick-prev{left:-20px}.slick-next{right:-15px}.slick-next:before,.slick-prev:before{display:none}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".bx--dropdown[data-v-ee8078c6]{border-bottom:none}.cv-header.bx--header[data-v-ee8078c6]{z-index:1;background-color:#fff;border-bottom:1px solid #e0e0e0;height:48px}.cv-header.bx--header .bx--btn--ghost[data-v-ee8078c6]{color:#525252;height:48px}.cv-header-name.bx--header__name[data-v-ee8078c6]{color:#525252;font-weight:400;font-size:14px}.cv-header-name.bx--header__name[data-v-ee8078c6]:hover{color:#181818}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","// Unique ID creation requires a high quality random # generator. In the browser we therefore\n// require the crypto API and do not support built-in fallback to lower quality random number\n// generators (like Math.random()).\nvar getRandomValues;\nvar rnds8 = new Uint8Array(16);\nexport default function rng() {\n  // lazy load so that environments that need to polyfill have a chance to do so\n  if (!getRandomValues) {\n    // getRandomValues needs to be invoked in a context where \"this\" is a Crypto implementation. Also,\n    // find the complete implementation of crypto (msCrypto) on IE11.\n    getRandomValues = typeof crypto !== 'undefined' && crypto.getRandomValues && crypto.getRandomValues.bind(crypto) || typeof msCrypto !== 'undefined' && typeof msCrypto.getRandomValues === 'function' && msCrypto.getRandomValues.bind(msCrypto);\n\n    if (!getRandomValues) {\n      throw new Error('crypto.getRandomValues() not supported. See https://github.com/uuidjs/uuid#getrandomvalues-not-supported');\n    }\n  }\n\n  return getRandomValues(rnds8);\n}","export default /^(?:[0-9a-f]{8}-[0-9a-f]{4}-[1-5][0-9a-f]{3}-[89ab][0-9a-f]{3}-[0-9a-f]{12}|00000000-0000-0000-0000-000000000000)$/i;","import REGEX from './regex.js';\n\nfunction validate(uuid) {\n  return typeof uuid === 'string' && REGEX.test(uuid);\n}\n\nexport default validate;","import validate from './validate.js';\n/**\n * Convert array of 16 byte values to UUID string format of the form:\n * XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX\n */\n\nvar byteToHex = [];\n\nfor (var i = 0; i < 256; ++i) {\n  byteToHex.push((i + 0x100).toString(16).substr(1));\n}\n\nfunction stringify(arr) {\n  var offset = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : 0;\n  // Note: Be careful editing this code!  It's been tuned for performance\n  // and works in ways you may not expect. See https://github.com/uuidjs/uuid/pull/434\n  var uuid = (byteToHex[arr[offset + 0]] + byteToHex[arr[offset + 1]] + byteToHex[arr[offset + 2]] + byteToHex[arr[offset + 3]] + '-' + byteToHex[arr[offset + 4]] + byteToHex[arr[offset + 5]] + '-' + byteToHex[arr[offset + 6]] + byteToHex[arr[offset + 7]] + '-' + byteToHex[arr[offset + 8]] + byteToHex[arr[offset + 9]] + '-' + byteToHex[arr[offset + 10]] + byteToHex[arr[offset + 11]] + byteToHex[arr[offset + 12]] + byteToHex[arr[offset + 13]] + byteToHex[arr[offset + 14]] + byteToHex[arr[offset + 15]]).toLowerCase(); // Consistency check for valid UUID.  If this throws, it's likely due to one\n  // of the following:\n  // - One or more input array values don't map to a hex octet (leading to\n  // \"undefined\" in the uuid)\n  // - Invalid input values for the RFC `version` or `variant` fields\n\n  if (!validate(uuid)) {\n    throw TypeError('Stringified UUID is invalid');\n  }\n\n  return uuid;\n}\n\nexport default stringify;","import rng from './rng.js';\nimport stringify from './stringify.js';\n\nfunction v4(options, buf, offset) {\n  options = options || {};\n  var rnds = options.random || (options.rng || rng)(); // Per 4.4, set bits for version and `clock_seq_hi_and_reserved`\n\n  rnds[6] = rnds[6] & 0x0f | 0x40;\n  rnds[8] = rnds[8] & 0x3f | 0x80; // Copy bytes to buffer, if provided\n\n  if (buf) {\n    offset = offset || 0;\n\n    for (var i = 0; i < 16; ++i) {\n      buf[offset + i] = rnds[i];\n    }\n\n    return buf;\n  }\n\n  return stringify(rnds);\n}\n\nexport default v4;","var render = function render(){var _vm=this,_c=_vm._self._c,_setup=_vm._self._setupProxy;return _c('div',{staticClass:\"total-pricing\"},[_c('div',{staticClass:\"price-name-amount title\"},[_c('p',{staticClass:\"title-paragraph\"},[_vm._v(\" \"+_vm._s(_vm.$t('section.price-calc.total-excl-shipping'))+\" \")]),_c('p',{staticClass:\"title-paragraph\"},[_vm._v(\" \"+_vm._s(_vm.pricingData.totalPrice === '' ? _vm.$t('section.price-calc.recalculating') : _vm.pricingData.totalPrice)+\" \")])]),(!_vm.pdpChoicesData.isTextile)?[_c('cv-accordion',{staticClass:\"pricing-positions\"},_vm._l((_vm.pricingData.productPrintPositions),function(position){return _c('cv-accordion-item',{key:position.printPositionSAPCode,staticClass:\"bxg\"},[_c('template',{slot:\"title\"},[_c('div',{staticClass:\"price-name-amount accordion\"},[_c('p',{staticClass:\"paragraphs\"},[_vm._v(\" \"+_vm._s(position.printPositionSAPCode)+\": \"+_vm._s(_vm.getPrintTechniqueSAPCode(position))+\" (\"+_vm._s(_vm.getNumberOfColours(position))+\") \")]),_c('p',{staticClass:\"paragraphs\"},[_vm._v(\" \"+_vm._s(position.subTotal || 'N/A')+\" \")])])]),_c('template',{slot:\"content\"},[_c('div',{staticClass:\"price-name-amount\"},[_c('p',{staticClass:\"additional-data\"},[_vm._v(\" \"+_vm._s(_vm.$t('section.price-calc.setup-cost'))+\" \")]),_c('p',{staticClass:\"additional-data\"},[_vm._v(_vm._s(position.setupCost))])]),_c('div',{staticClass:\"price-name-amount\"},[_c('p',{staticClass:\"additional-data\"},[_vm._v(\" \"+_vm._s(_vm.$t('section.price-calc.printing-cost'))+\" \")]),_c('p',{staticClass:\"additional-data\"},[_vm._v(_vm._s(position.printingCost))])])])],2)}),1),_c('div',{staticClass:\"price-name-amount handling-costs-product-price handling-costs-border\"},[_c('p',{staticClass:\"paragraphs\"},[_vm._v(_vm._s(_vm.$t('section.price-calc.handling-cost')))]),_c('p',{staticClass:\"paragraphs\"},[_vm._v(_vm._s(_vm.pricingData.handlingCost))])]),_c('div',{staticClass:\"price-name-amount handling-costs-product-price\"},[_c('p',{staticClass:\"paragraphs\"},[_vm._v(\" \"+_vm._s(_vm.$t('section.price-calc.product-price-quantity', { quantity: _vm.totalQuantity, }))+\" \")]),_c('p',{staticClass:\"paragraphs\"},[_vm._v(_vm._s(_vm.pricingData.productPrice))])])]:_vm._e()],2)\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","\r\nimport Vue, { PropType } from 'vue';\r\nimport { CvAccordion, CvAccordionItem } from '@carbon/vue';\r\nimport {\r\n  PdpChoicesSetterType,\r\n  PriceDetailsSetterType,\r\n} from '@/setters/typings';\r\nimport { ProductPrintData } from '@midocean/webapps-shared-domain';\r\nimport { ProductPrintPositionSetterType } from '@/setters/typings/common/ProductPrintPositionSetterType';\r\nimport { mapActions, mapState } from 'pinia';\r\nimport { useStore as useProductStore } from '@/stores/product';\r\nimport { useStore as useColorManagementStore } from '@/stores/colorsManagement';\r\nexport default Vue.extend({\r\n  components: {\r\n    CvAccordion,\r\n    CvAccordionItem,\r\n  },\r\n  props: {\r\n    lang: {\r\n      type: String,\r\n      default: 'en',\r\n    },\r\n    pricingData: {\r\n      type: Object as PropType<PriceDetailsSetterType>,\r\n      required: true,\r\n    },\r\n    pdpChoicesData: {\r\n      type: Object as PropType<PdpChoicesSetterType>,\r\n      required: true,\r\n    },\r\n    productPrintData: {\r\n      type: Object as PropType<ProductPrintData>,\r\n      required: true,\r\n    },\r\n  },\r\n\r\n  data() {\r\n    return {\r\n      printTechniqueNames: [] as string[],\r\n    };\r\n  },\r\n  computed: {\r\n    ...mapState(useProductStore, ['unavailablePrintPositions', 'data']),\r\n    totalQuantity(): number {\r\n      return this.pdpChoicesData.productVariants\r\n        .map((v) => v.quantity)\r\n        .reduce((prev, current) => prev + current);\r\n    },\r\n  },\r\n  methods: {\r\n    ...mapActions(useColorManagementStore, ['getPmsColorByPrintPositionId']),\r\n    getNumberOfColours(position: ProductPrintPositionSetterType): string {\r\n      const productPrintPosition = this.data.productPrintPositions.find(\r\n        (p) => p.name === position.printPositionSAPCode\r\n      );\r\n      const technique = productPrintPosition?.printTechniques.find(\r\n        (technique) => {\r\n          return (\r\n            technique.printTechnique.code === position.printTechniqueSAPCode\r\n          );\r\n        }\r\n      );\r\n\r\n      const finalResult = +position.numberOfColors || 0;\r\n      const textToReturn = technique?.printTechnique.isFullColor\r\n        ? `${this.$t('print-position.full-colour')}`\r\n        : `${this.$tc('print-position.number-colours', finalResult, {\r\n            number: finalResult,\r\n          })}`;\r\n\r\n      return textToReturn;\r\n    },\r\n    getPrintTechniqueSAPCode(position: ProductPrintPositionSetterType): string {\r\n      const printPosition = this.unavailablePrintPositions.find(\r\n        (p) => p.printPositionSAPCode === position.printPositionSAPCode\r\n      );\r\n\r\n      return printPosition?.technique.printTechniqueSAPCode as string;\r\n    },\r\n  },\r\n});\r\n","import mod from \"-!../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../node_modules/babel-loader/lib/index.js!../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./TotalPricing.vue?vue&type=script&lang=ts\"; export default mod; export * from \"-!../../../../node_modules/cache-loader/dist/cjs.js??ref--15-0!../../../../node_modules/babel-loader/lib/index.js!../../../../node_modules/ts-loader/index.js??ref--15-2!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./TotalPricing.vue?vue&type=script&lang=ts\"","import { render, staticRenderFns } from \"./TotalPricing.vue?vue&type=template&id=82c49b48\"\nimport script from \"./TotalPricing.vue?vue&type=script&lang=ts\"\nexport * from \"./TotalPricing.vue?vue&type=script&lang=ts\"\nfunction injectStyles (context) {\n  \n  var style0 = require(\"./TotalPricing.vue?vue&type=style&index=0&id=82c49b48&prod&lang=scss\")\nif (style0.__inject__) style0.__inject__(context)\n\n}\n\n/* normalize component */\nimport normalizer from \"!../../../../node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n  script,\n  render,\n  staticRenderFns,\n  false,\n  injectStyles,\n  null,\n  null\n  ,true\n)\n\nexport default component.exports","import mod from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--13-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./StyleProvider.vue?vue&type=script&lang=js\"; export default mod; export * from \"-!../../../node_modules/cache-loader/dist/cjs.js??ref--13-0!../../../node_modules/babel-loader/lib/index.js!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./StyleProvider.vue?vue&type=script&lang=js\"","export * from \"-!../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./upload-logo.vue?vue&type=style&index=0&id=28b97faa&prod&lang=scss\"","'use strict';\nvar makeBuiltIn = require('../internals/make-built-in');\nvar defineProperty = require('../internals/object-define-property');\n\nmodule.exports = function (target, name, descriptor) {\n  if (descriptor.get) makeBuiltIn(descriptor.get, name, { getter: true });\n  if (descriptor.set) makeBuiltIn(descriptor.set, name, { setter: true });\n  return defineProperty.f(target, name, descriptor);\n};\n","export * from \"-!../../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./TextPanelOptions.vue?vue&type=style&index=0&id=467d1cc2&prod&lang=scss\"","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".bx--search-magnifier{position:absolute;z-index:2;top:50%;left:16px;width:16px;height:16px;fill:#525252;pointer-events:none;transform:translateY(-50%)}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","export * from \"-!../../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PinturaHeader.vue?vue&type=style&index=0&id=ee8078c6&prod&lang=scss&scoped=true\"","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../node_modules/css-loader/dist/cjs.js??ref--7-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--7-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--7-oneOf-1-3!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./SmallDetailsLoader.vue?vue&type=style&index=1&id=2c7c02d0&prod&scoped=true&lang=css\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"e8fdc8d0\", content, shadowRoot)\n};","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\nexports.push([module.id, \"@import url(https://fonts.googleapis.com/css2?family=Roboto:ital,wght@0,300;0,400;0,700;1,400&display=swap);\"]);\n// Module\nexports.push([module.id, \".bx--dropdown[data-v-49f655d7]{border-bottom:none}.print-positions-manager[data-v-49f655d7]{font-family:Roboto,sans-serif}.print-positions-manager .wrapper[data-v-49f655d7]{display:flex;justify-content:center}.full-width--fix[data-v-49f655d7]{padding-left:1rem;padding-right:1rem}.techniques[data-v-49f655d7]{flex-wrap:wrap}.more-details[data-v-49f655d7]{font-size:14px;margin-top:15px;margin-bottom:15px}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","\"use strict\";\nObject.defineProperty(exports, \"__esModule\", { value: true });\nexports.isNonPositive = void 0;\n/** Validator that only allows non-positive numbers (`<= 0`). */\nconst isNonPositive = (value) => {\n    if (typeof value !== 'number' || value > 0 || Number.isNaN(value)) {\n        return 'value should be a non-positive number';\n    }\n    return undefined;\n};\nexports.isNonPositive = isNonPositive;\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \"@font-face{font-display:auto;font-family:IBM Plex Mono;font-style:normal;font-weight:700;src:local(\\\"IBM Plex Mono Bold\\\"),local(\\\"IBMPlexMono-Bold\\\"),url(https://1.www.s81c.com/common/carbon/plex/fonts/IBM-Plex-Mono/fonts/complete/woff2/IBMPlexMono-Bold.woff2) format(\\\"woff2\\\"),url(https://1.www.s81c.com/common/carbon/plex/fonts/IBM-Plex-Mono/fonts/complete/woff/IBMPlexMono-Bold.woff) format(\\\"woff\\\")}@font-face{font-display:auto;font-family:IBM Plex Mono;font-style:normal;font-weight:700;src:local(\\\"IBM Plex Mono Bold\\\"),local(\\\"IBMPlexMono-Bold\\\"),url(https://1.www.s81c.com/common/carbon/plex/fonts/IBM-Plex-Mono/fonts/split/woff2/IBMPlexMono-Bold-Cyrillic.woff2) format(\\\"woff2\\\");unicode-range:u+0400-045f,u+0472-0473,u+0490-049d,u+04a0-04a5,u+04aa-04ab,u+04ae-04b3,u+04b6-04bb,u+04c0-04c2,u+04cf-04d9,u+04dc-04df,u+04e2-04e9,u+04ee-04f5,u+04f8-04f9}@font-face{font-display:auto;font-family:IBM Plex Mono;font-style:normal;font-weight:700;src:local(\\\"IBM Plex Mono Bold\\\"),local(\\\"IBMPlexMono-Bold\\\"),url(https://1.www.s81c.com/common/carbon/plex/fonts/IBM-Plex-Mono/fonts/split/woff2/IBMPlexMono-Bold-Pi.woff2) format(\\\"woff2\\\");unicode-range:u+0e3f,u+2032-2033,u+2070,u+2075-2079,u+2080-2081,u+2083,u+2085-2089,u+2113,u+2116,u+2126,u+212e,u+2150-2151,u+2153-215e,u+2190-2199,u+21a9-21aa,u+21b0-21b3,u+21b6-21b7,u+21ba-21bb,u+21c4,u+21c6,u+2202,u+2206,u+220f,u+2211,u+221a,u+221e,u+222b,u+2248,u+2260,u+2264-2265,u+25ca,u+2713,u+274c,u+2b0e-2b11,u+ebe1-ebe7,u+ece0,u+efcc}@font-face{font-display:auto;font-family:IBM Plex Mono;font-style:normal;font-weight:700;src:local(\\\"IBM Plex Mono Bold\\\"),local(\\\"IBMPlexMono-Bold\\\"),url(https://1.www.s81c.com/common/carbon/plex/fonts/IBM-Plex-Mono/fonts/split/woff2/IBMPlexMono-Bold-Latin3.woff2) format(\\\"woff2\\\");unicode-range:u+0102-0103,u+1ea0-1ef9,u+20ab}@font-face{font-display:auto;font-family:IBM Plex Mono;font-style:normal;font-weight:700;src:local(\\\"IBM Plex Mono Bold\\\"),local(\\\"IBMPlexMono-Bold\\\"),url(https://1.www.s81c.com/common/carbon/plex/fonts/IBM-Plex-Mono/fonts/split/woff2/IBMPlexMono-Bold-Latin2.woff2) format(\\\"woff2\\\");unicode-range:u+0100-024f,u+0259,u+1e??,u+20a0-20ab,u+20ad-20cf,u+2c60-2c7f,u+a720-a7ff,u+fb01-fb02}@font-face{font-display:auto;font-family:IBM Plex Mono;font-style:normal;font-weight:700;src:local(\\\"IBM Plex Mono Bold\\\"),local(\\\"IBMPlexMono-Bold\\\"),url(https://1.www.s81c.com/common/carbon/plex/fonts/IBM-Plex-Mono/fonts/split/woff2/IBMPlexMono-Bold-Latin1.woff2) format(\\\"woff2\\\");unicode-range:u+0000,u+000d,u+0020-007e,u+00a0-00a3,u+00a4-00ff,u+0131,u+0152-0153,u+02c6,u+02da,u+02dc,u+2013-2014,u+2018-201a,u+201c-201e,u+2020-2022,u+2026,u+2030,u+2039-203a,u+2044,u+2074,u+20ac,u+2122,u+2212,u+fb01-fb02}@font-face{font-display:auto;font-family:IBM Plex Mono;font-style:italic;font-weight:700;src:local(\\\"IBM Plex Mono Bold Italic\\\"),local(\\\"IBMPlexMono-BoldItalic\\\"),url(https://1.www.s81c.com/common/carbon/plex/fonts/IBM-Plex-Mono/fonts/complete/woff2/IBMPlexMono-BoldItalic.woff2) format(\\\"woff2\\\"),url(https://1.www.s81c.com/common/carbon/plex/fonts/IBM-Plex-Mono/fonts/complete/woff/IBMPlexMono-BoldItalic.woff) format(\\\"woff\\\")}@font-face{font-display:auto;font-family:IBM Plex Mono;font-style:italic;font-weight:700;src:local(\\\"IBM Plex Mono Bold Italic\\\"),local(\\\"IBMPlexMono-BoldItalic\\\"),url(https://1.www.s81c.com/common/carbon/plex/fonts/IBM-Plex-Mono/fonts/split/woff2/IBMPlexMono-BoldItalic-Cyrillic.woff2) format(\\\"woff2\\\");unicode-range:u+0400-045f,u+0472-0473,u+0490-049d,u+04a0-04a5,u+04aa-04ab,u+04ae-04b3,u+04b6-04bb,u+04c0-04c2,u+04cf-04d9,u+04dc-04df,u+04e2-04e9,u+04ee-04f5,u+04f8-04f9}@font-face{font-display:auto;font-family:IBM Plex Mono;font-style:italic;font-weight:700;src:local(\\\"IBM Plex Mono Bold Italic\\\"),local(\\\"IBMPlexMono-BoldItalic\\\"),url(https://1.www.s81c.com/common/carbon/plex/fonts/IBM-Plex-Mono/fonts/split/woff2/IBMPlexMono-BoldItalic-Pi.woff2) format(\\\"woff2\\\");unicode-range:u+0e3f,u+2032-2033,u+2070,u+2075-2079,u+2080-2081,u+2083,u+2085-2089,u+2113,u+2116,u+2126,u+212e,u+2150-2151,u+2153-215e,u+2190-2199,u+21a9-21aa,u+21b0-21b3,u+21b6-21b7,u+21ba-21bb,u+21c4,u+21c6,u+2202,u+2206,u+220f,u+2211,u+221a,u+221e,u+222b,u+2248,u+2260,u+2264-2265,u+25ca,u+2713,u+274c,u+2b0e-2b11,u+ebe1-ebe7,u+ece0,u+efcc}@font-face{font-display:auto;font-family:IBM Plex Mono;font-style:italic;font-weight:700;src:local(\\\"IBM Plex Mono Bold Italic\\\"),local(\\\"IBMPlexMono-BoldItalic\\\"),url(https://1.www.s81c.com/common/carbon/plex/fonts/IBM-Plex-Mono/fonts/split/woff2/IBMPlexMono-BoldItalic-Latin3.woff2) format(\\\"woff2\\\");unicode-range:u+0102-0103,u+1ea0-1ef9,u+20ab}@font-face{font-display:auto;font-family:IBM Plex Mono;font-style:italic;font-weight:700;src:local(\\\"IBM Plex Mono Bold Italic\\\"),local(\\\"IBMPlexMono-BoldItalic\\\"),url(https://1.www.s81c.com/common/carbon/plex/fonts/IBM-Plex-Mono/fonts/split/woff2/IBMPlexMono-BoldItalic-Latin2.woff2) format(\\\"woff2\\\");unicode-range:u+0100-024f,u+0259,u+1e??,u+20a0-20ab,u+20ad-20cf,u+2c60-2c7f,u+a720-a7ff,u+fb01-fb02}@font-face{font-display:auto;font-family:IBM Plex Mono;font-style:italic;font-weight:700;src:local(\\\"IBM Plex Mono Bold Italic\\\"),local(\\\"IBMPlexMono-BoldItalic\\\"),url(https://1.www.s81c.com/common/carbon/plex/fonts/IBM-Plex-Mono/fonts/split/woff2/IBMPlexMono-BoldItalic-Latin1.woff2) format(\\\"woff2\\\");unicode-range:u+0000,u+000d,u+0020-007e,u+00a0-00a3,u+00a4-00ff,u+0131,u+0152-0153,u+02c6,u+02da,u+02dc,u+2013-2014,u+2018-201a,u+201c-201e,u+2020-2022,u+2026,u+2030,u+2039-203a,u+2044,u+2074,u+20ac,u+2122,u+2212,u+fb01-fb02}@font-face{font-display:auto;font-family:IBM Plex Mono;font-style:normal;font-weight:200;src:local(\\\"IBM Plex Mono 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svg{fill:ButtonText}}.bx--tile-content{width:100%;height:100%}.bx--tile-input{position:absolute;overflow:hidden;width:1px;height:1px;padding:0;border:0;margin:-1px;clip:rect(0,0,0,0);visibility:inherit;white-space:nowrap}.bx--tile-input:focus+.bx--tile{outline:2px solid #24a148;outline-offset:-2px}@media screen and (prefers-contrast){.bx--tile-input:focus+.bx--tile{outline-style:dotted}}.bx--tile--disabled.bx--tile--selectable{background-color:#f4f4f4;color:#c6c6c6;cursor:not-allowed}.bx--tile--disabled.bx--tile--selectable.bx--tile--light{background-color:#fff}.bx--tile--disabled.bx--tile--is-selected{outline-color:#c6c6c6}.bx--tile--disabled.bx--tile--is-selected .bx--tile__checkmark svg{fill:#c6c6c6}.bx--structured-list--selection .bx--structured-list-td,.bx--structured-list--selection .bx--structured-list-td:first-child,.bx--structured-list--selection .bx--structured-list-th,.bx--structured-list--selection .bx--structured-list-th:first-child{padding-right:1rem;padding-left:1rem}.bx--structured-list-input{display:none}.bx--structured-list{display:table;width:100%;margin-bottom:5rem;background-color:transparent;border-collapse:collapse;border-spacing:0;overflow-x:auto}.bx--structured-list.bx--structured-list--condensed .bx--structured-list-td,.bx--structured-list.bx--structured-list--condensed .bx--structured-list-th{padding:.5rem}.bx--structured-list .bx--structured-list-row .bx--structured-list-td:first-of-type,.bx--structured-list .bx--structured-list-row .bx--structured-list-th:first-of-type{padding-left:1rem}.bx--structured-list.bx--structured-list--flush .bx--structured-list-row .bx--structured-list-td,.bx--structured-list.bx--structured-list--flush .bx--structured-list-row .bx--structured-list-td:first-of-type,.bx--structured-list.bx--structured-list--flush .bx--structured-list-row .bx--structured-list-th,.bx--structured-list.bx--structured-list--flush .bx--structured-list-row .bx--structured-list-th:first-of-type{padding-right:1rem;padding-left:0}.bx--structured-list-row{display:table-row;border-bottom:1px solid #e0e0e0;transition:background-color .11s cubic-bezier(.2,0,.38,.9)}.bx--structured-list--selection .bx--structured-list-row:hover:not(.bx--structured-list-row--header-row):not(.bx--structured-list-row--selected){border-bottom:1px solid #e5e5e5;background-color:#e5e5e5;cursor:pointer}.bx--structured-list-row.bx--structured-list-row--selected{background-color:#e0e0e0}.bx--structured-list-row.bx--structured-list-row--header-row{border-bottom:1px solid #e0e0e0;cursor:inherit}.bx--structured-list-row:focus:not(.bx--structured-list-row--header-row){outline:2px solid #24a148;outline-offset:-2px}@media screen and (prefers-contrast){.bx--structured-list-row:focus:not(.bx--structured-list-row--header-row){outline-style:dotted}}.bx--structured-list--selection .bx--structured-list-row:hover:not(.bx--structured-list-row--header-row)>.bx--structured-list-td,.bx--structured-list-row.bx--structured-list-row--selected>.bx--structured-list-td{color:#161616}.bx--structured-list--selection .bx--structured-list-row:hover:not(.bx--structured-list-row--header-row)>.bx--structured-list-td{border-top:1px solid #f4f4f4}.bx--structured-list-thead{display:table-header-group;vertical-align:middle}.bx--structured-list-th{padding:1rem .5rem .5rem .5rem;font-size:.875rem;line-height:1.28572;letter-spacing:.16px;display:table-cell;height:2.5rem;color:#161616;font-weight:600;text-align:left;text-transform:none;vertical-align:top}.bx--structured-list-tbody{display:table-row-group;vertical-align:middle}.bx--structured-list-td{font-size:.875rem;font-weight:400;line-height:1.42857;letter-spacing:.16px;padding:1rem .5rem 1.5rem .5rem;position:relative;display:table-cell;max-width:36rem;color:#525252;transition:color .11s cubic-bezier(.2,0,.38,.9)}.bx--structured-list-content--nowrap{white-space:nowrap}.bx--structured-list-svg{display:inline-block;fill:transparent;transition:all .11s cubic-bezier(.2,0,.38,.9);vertical-align:middle}.bx--structured-list-input:checked+.bx--structured-list-row .bx--structured-list-svg,.bx--structured-list-input:checked+.bx--structured-list-td .bx--structured-list-svg{fill:#161616}.bx--structured-list.bx--skeleton .bx--structured-list-th:first-child{width:8%}.bx--structured-list.bx--skeleton .bx--structured-list-th:nth-child(3n+2){width:30%}.bx--structured-list.bx--skeleton .bx--structured-list-th:nth-child(3n+3){width:15%}.bx--structured-list.bx--skeleton span{position:relative;padding:0;border:none;background:#e5e5e5;box-shadow:none;pointer-events:none;display:block;width:75%;height:1rem}.bx--structured-list.bx--skeleton span:active,.bx--structured-list.bx--skeleton span:focus,.bx--structured-list.bx--skeleton span:hover{border:none;cursor:default;outline:none}.bx--structured-list.bx--skeleton span:before{position:absolute;top:0;left:0;width:100%;height:100%;animation:skeleton 3s ease-in-out infinite;background:#c6c6c6;content:\\\"\\\";will-change:transform-origin,transform,opacity}@media(prefers-reduced-motion:reduce){.bx--structured-list.bx--skeleton span:before{animation:none}}.bx--structured-list.bx--structured-list--selection.bx--skeleton .bx--structured-list-th:first-child{width:5%}.bx--structured-list.bx--structured-list--selection.bx--skeleton .bx--structured-list-th:first-child span{display:none}@media (forced-colors:active),screen and (-ms-high-contrast:active){.bx--structured-list-input:checked+.bx--structured-list-td .bx--structured-list-svg{fill:ButtonText}}@keyframes collapse-accordion{0%{height:100%;opacity:1;visibility:inherit}to{height:0;opacity:0;visibility:hidden}}@keyframes expand-accordion{0%{height:0;opacity:0;visibility:hidden}to{height:100%;opacity:1;visibility:inherit}}.bx--accordion{width:100%;list-style:none}.bx--accordion__item{overflow:visible;border-top:1px solid #e0e0e0;transition:all .11s cubic-bezier(.2,0,.38,.9)}.bx--accordion__item:last-child{border-bottom:1px solid #e0e0e0}.bx--accordion__heading{display:inline-block;padding:0;border:0;-webkit-appearance:none;-moz-appearance:none;appearance:none;background:none;position:relative;display:flex;width:100%;min-height:2.5rem;flex-direction:row-reverse;align-items:flex-start;justify-content:flex-start;padding:.625rem 0;margin:0;color:#161616;cursor:pointer;transition:background-color .11s cubic-bezier(.2,0,.38,.9)}.bx--accordion__heading::-moz-focus-inner{border:0}.bx--accordion__heading:focus:before,.bx--accordion__heading:hover:before{position:absolute;top:-1px;left:0;width:100%;height:calc(100% + 2px);content:\\\"\\\"}.bx--accordion__heading:hover:before{background-color:#e5e5e5}.bx--accordion__heading:focus{outline:none}.bx--accordion__heading:focus:before{box-sizing:border-box;border:2px solid #24a148}@media screen and (prefers-contrast){.bx--accordion__heading:focus:before{border-style:dotted}}.bx--accordion--lg .bx--accordion__heading,.bx--accordion--xl .bx--accordion__heading{min-height:3rem}.bx--accordion--sm .bx--accordion__heading{min-height:2rem;padding:.3125rem 0}.bx--accordion__heading[disabled]{color:#c6c6c6;cursor:not-allowed}.bx--accordion__heading[disabled] .bx--accordion__arrow{fill:#c6c6c6}.bx--accordion__heading[disabled]:hover:before{background-color:transparent}.bx--accordion__item--disabled,.bx--accordion__item--disabled+.bx--accordion__item{border-top:1px solid #f4f4f4}li.bx--accordion__item--disabled:last-of-type{border-bottom:1px solid #f4f4f4}.bx--accordion__arrow{outline:2px solid transparent;outline-offset:-2px;width:1rem;height:1rem;flex:0 0 1rem;margin:2px 1rem 0 0;fill:#161616;transform:rotate(-270deg);transition:all .11s cubic-bezier(.2,0,.38,.9)}.bx--accordion__title{font-size:.875rem;font-weight:400;line-height:1.42857;letter-spacing:.16px;z-index:1;width:100%;margin:0 0 0 1rem;text-align:left}.bx--accordion__content{display:none;padding-right:1rem;padding-left:1rem;transition:padding .11s cubic-bezier(.2,0,.38,.9)}@media(min-width:480px){.bx--accordion__content{padding-right:3rem}}@media(min-width:640px){.bx--accordion__content{padding-right:25%}}.bx--accordion__content>p{font-size:.875rem;font-weight:400;line-height:1.42857;letter-spacing:.16px}.bx--accordion--start .bx--accordion__heading{flex-direction:row}.bx--accordion--start .bx--accordion__arrow{margin:2px 0 0 1rem}.bx--accordion--start .bx--accordion__title{margin-right:1rem}.bx--accordion--start .bx--accordion__content{margin-left:2rem}.bx--accordion__item--collapsing .bx--accordion__content,.bx--accordion__item--expanding .bx--accordion__content{display:block}.bx--accordion__item--collapsing .bx--accordion__content{animation:collapse-accordion .11s cubic-bezier(.2,0,.38,.9)}.bx--accordion__item--expanding .bx--accordion__content{animation:expand-accordion .11s cubic-bezier(.2,0,.38,.9)}.bx--accordion__item--active{overflow:visible}.bx--accordion__item--active .bx--accordion__content{display:block;padding-top:.5rem;padding-bottom:1.5rem;transition:padding-top .11s cubic-bezier(0,0,.38,.9),padding-bottom .11s cubic-bezier(0,0,.38,.9)}.bx--accordion__item--active .bx--accordion__arrow{fill:#161616;transform:rotate(-90deg)}.bx--accordion.bx--skeleton .bx--accordion__button,.bx--accordion.bx--skeleton .bx--accordion__heading{cursor:default}.bx--accordion.bx--skeleton .bx--accordion__arrow{cursor:default;fill:#161616;pointer-events:none}.bx--accordion.bx--skeleton .bx--accordion__arrow:active,.bx--accordion.bx--skeleton .bx--accordion__arrow:focus,.bx--accordion.bx--skeleton .bx--accordion__arrow:hover{border:none;cursor:default;outline:none}.bx--accordion.bx--skeleton .bx--accordion__heading:hover:before{background-color:transparent}.bx--accordion--end.bx--skeleton .bx--accordion__arrow{margin-left:1rem}.bx--skeleton .bx--accordion__heading:focus .bx--accordion__arrow{border:none;cursor:default;outline:none}.bx--accordion__title.bx--skeleton__text{margin-bottom:0}@media (forced-colors:active),screen and (-ms-high-contrast:active){.bx--accordion__arrow,.bx--accordion__item--active .bx--accordion__arrow{fill:ButtonText}}.bx--text-area{font-size:.875rem;font-weight:400;line-height:1.42857;letter-spacing:.16px;outline:2px solid transparent;outline-offset:-2px;width:100%;min-width:10rem;height:100%;min-height:2.5rem;padding:.6875rem 1rem;border:none;border-bottom:1px solid #8d8d8d;background-color:#f4f4f4;color:#161616;resize:vertical;transition:background-color 70ms cubic-bezier(.2,0,.38,.9),outline 70ms cubic-bezier(.2,0,.38,.9)}.bx--text-area:active,.bx--text-area:focus{outline:2px solid #24a148;outline-offset:-2px}@media screen and (prefers-contrast){.bx--text-area:active,.bx--text-area:focus{outline-style:dotted}}.bx--text-area::-moz-placeholder{color:#6f6f6f;opacity:1;font-size:.875rem;font-weight:400;line-height:1.42857;letter-spacing:.16px}.bx--text-area::placeholder{color:#6f6f6f;opacity:1;font-size:.875rem;font-weight:400;line-height:1.42857;letter-spacing:.16px}.bx--text-area--light{background-color:#fff}.bx--text-area--invalid{padding-right:2.5rem}.bx--text-area__wrapper{position:relative;display:flex;width:100%}.bx--text-area__invalid-icon{position:absolute;top:.75rem;right:1rem;fill:#da1e28}.bx--text-area:disabled{border-bottom:1px solid transparent;background-color:#f4f4f4;color:#c6c6c6;cursor:not-allowed;outline:none}.bx--text-area:disabled::-moz-placeholder{color:#c6c6c6}.bx--text-area:disabled::placeholder{color:#c6c6c6}.bx--text-area.bx--text-area--light:disabled{background-color:#fff}.bx--text-area.bx--skeleton{position:relative;padding:0;border:none;background:#e5e5e5;box-shadow:none;pointer-events:none;height:6.25rem}.bx--text-area.bx--skeleton:active,.bx--text-area.bx--skeleton:focus,.bx--text-area.bx--skeleton:hover{border:none;cursor:default;outline:none}.bx--text-area.bx--skeleton:before{position:absolute;top:0;left:0;width:100%;height:100%;animation:skeleton 3s ease-in-out infinite;background:#c6c6c6;content:\\\"\\\";will-change:transform-origin,transform,opacity}@media(prefers-reduced-motion:reduce){.bx--text-area.bx--skeleton:before{animation:none}}.bx--text-area.bx--skeleton::-moz-placeholder{color:transparent}.bx--text-area.bx--skeleton::placeholder{color:transparent}.bx--text-area__label-wrapper{display:flex;width:100%;justify-content:space-between}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","export * from \"-!../../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./DropdownItem.vue?vue&type=style&index=0&id=5f42600e&prod&lang=scss&scoped=true\"","import {\r\n  FileTypeValidatorConfiguration,\r\n  ValidationResult,\r\n  ValidatorResult,\r\n} from '../index';\r\nimport _last from 'lodash.last';\r\nimport {\r\n  AnnotationShape,\r\n  LogoShape,\r\n} from '@/web-components/import-wizard/typings/pintura';\r\n\r\nexport const fileTypeValidator =\r\n  (validatorConfiguration: string, shape: LogoShape, printPositionId: string) =>\r\n  ({ payload, validationResult }: ValidatorResult): ValidatorResult => {\r\n    const validatorName = 'fileTypeValidator';\r\n    const vectorFileValidatorName = 'vectorFileValidator';\r\n\r\n    let {\r\n      validFileExtensions,\r\n      // eslint-disable-next-line prefer-const\r\n      isTrueVectorFile,\r\n    }: FileTypeValidatorConfiguration = JSON.parse(validatorConfiguration);\r\n\r\n    if (validFileExtensions.length > 0) {\r\n      validFileExtensions = validFileExtensions.map((name) =>\r\n        name.toLowerCase()\r\n      );\r\n    }\r\n\r\n    const { fileName, isVectorFileTrueVectorFile } = shape;\r\n    const partsOfFileName: string[] = fileName?.split('.') as string[];\r\n    let fileExtension = '.' + _last(partsOfFileName);\r\n\r\n    if (fileExtension !== undefined) {\r\n      fileExtension = fileExtension.toLowerCase();\r\n    }\r\n\r\n    const isValidFileExtension: boolean =\r\n      fileExtension === undefined\r\n        ? false\r\n        : validFileExtensions.includes(fileExtension);\r\n\r\n    payload.id = shape.id;\r\n    payload.personalizationArtworkId = shape.personalizationArtworkId as string;\r\n    payload.fileName = shape.fileName as string;\r\n\r\n    if (\r\n      fileExtension === '.ai' ||\r\n      fileExtension === '.svg' ||\r\n      fileExtension === '.pdf' ||\r\n      fileExtension === '.eps'\r\n    ) {\r\n      const isTrueVectorFileResult = isTrueVectorFile\r\n        ? isVectorFileTrueVectorFile\r\n        : true;\r\n\r\n      return {\r\n        payload,\r\n        validationResult: validationResult.concat([\r\n          {\r\n            printPositionId: printPositionId,\r\n            validatorName:\r\n              isValidFileExtension && !isVectorFileTrueVectorFile\r\n                ? vectorFileValidatorName\r\n                : validatorName,\r\n            validatorColor:\r\n              isValidFileExtension && isTrueVectorFileResult ? 'Green' : 'Red',\r\n            message: validFileExtensions.join(',').replaceAll('.', ''),\r\n          },\r\n        ]) as ValidationResult,\r\n      };\r\n    }\r\n\r\n    return {\r\n      payload,\r\n      validationResult: validationResult.concat([\r\n        {\r\n          printPositionId: printPositionId,\r\n          validatorName: validatorName,\r\n          validatorColor: isValidFileExtension ? 'Green' : 'Red',\r\n          message: validFileExtensions.join(',').replaceAll('.', ''),\r\n        },\r\n      ]) as ValidationResult,\r\n    };\r\n  };\r\n","import {\r\n  AnnotationShape,\r\n  LogoShape,\r\n} from '@/web-components/import-wizard/typings/pintura';\r\nimport { ResolutionValue } from '../configuration';\r\nimport { ValidationResult, ValidatorResult } from '../index';\r\n\r\nexport const resolutionValidator =\r\n  (validatorConfiguration: string, shape: LogoShape, printPositionId: string) =>\r\n  ({ payload, validationResult }: ValidatorResult): ValidatorResult => {\r\n    const validatorName = 'resolutionValidator';\r\n\r\n    const resolutionColorsValues: ResolutionValue[] = JSON.parse(\r\n      validatorConfiguration\r\n    );\r\n    const { pngHorizontalResolutionDPIs, pngVerticalResolutionDPIs } = shape;\r\n    const lowerDPI =\r\n      (pngHorizontalResolutionDPIs as number) <=\r\n      (pngVerticalResolutionDPIs as number)\r\n        ? (pngHorizontalResolutionDPIs as number)\r\n        : (pngVerticalResolutionDPIs as number);\r\n\r\n    const color: ResolutionValue = resolutionColorsValues.find((f) => {\r\n      if (lowerDPI >= f.minDPI && lowerDPI <= f.maxDPI) {\r\n        if (f.color === 'red') {\r\n          f.color = 'Red';\r\n        }\r\n        if (f.color === 'orange') {\r\n          f.color = 'Orange';\r\n        }\r\n        if (f.color === 'green') {\r\n          f.color = 'Green';\r\n        }\r\n\r\n        return f;\r\n      }\r\n\r\n      if (\r\n        (pngHorizontalResolutionDPIs as number) > f.maxDPI &&\r\n        (pngVerticalResolutionDPIs as number) > f.maxDPI\r\n      ) {\r\n        return { ...f, color: 'Red' };\r\n      }\r\n    }) as ResolutionValue;\r\n    payload.id = shape.id;\r\n    payload.personalizationArtworkId = shape.personalizationArtworkId as string;\r\n    payload.fileName = shape.fileName as string;\r\n    payload.pngHorizontalResolutionDPIs = pngHorizontalResolutionDPIs as number;\r\n    payload.pngVerticalResolutionDPIs = pngVerticalResolutionDPIs as number;\r\n\r\n    return {\r\n      payload,\r\n      validationResult: validationResult.concat([\r\n        {\r\n          printPositionId: printPositionId,\r\n          validatorName: validatorName,\r\n          validatorColor: color?.color,\r\n          message:\r\n            resolutionColorsValues.find((x) => x.color === 'Green')?.minDPI ||\r\n            300,\r\n        },\r\n      ]) as ValidationResult,\r\n    };\r\n  };\r\n","import { PmsColor } from '@midocean/webapps-shared-domain';\r\nimport { SpotColor } from '@/components/w2pFileUploader/typings/Artwork';\r\nimport {\r\n  AnnotationShape,\r\n  LogoShape,\r\n} from '@/web-components/import-wizard/typings/pintura';\r\nimport { ValidationResult, ValidatorResult } from '../index';\r\n\r\nexport const spotColorsValidator =\r\n  (shape: LogoShape, printPositionId: string) =>\r\n  ({ payload, validationResult }: ValidatorResult): ValidatorResult => {\r\n    const validatorName = 'spotColorsValidator';\r\n\r\n    const { pmsColorsInPngFile } = shape;\r\n\r\n    const nonOriginalSpotColorsDetected = pmsColorsInPngFile?.filter(\r\n      (p) => p.isOriginalSpotColor === false\r\n    ) as PmsColor[];\r\n    const resultColor: string =\r\n      nonOriginalSpotColorsDetected.length > 0 ? 'Red' : 'Green';\r\n\r\n    payload.id = shape.id;\r\n    payload.personalizationArtworkId = shape.personalizationArtworkId as string;\r\n    payload.fileName = shape.fileName as string;\r\n    payload.spotColorsInOriginalFile =\r\n      shape.spotColorsInOriginalFile as SpotColor[];\r\n\r\n    return {\r\n      payload,\r\n      validationResult: validationResult.concat([\r\n        {\r\n          printPositionId: printPositionId,\r\n          validatorName: validatorName,\r\n          validatorColor: resultColor,\r\n        },\r\n      ]) as ValidationResult,\r\n    };\r\n  };\r\n","import { ValidationResult, ValidatorResult } from '../index';\r\nimport { AnnotationShape } from '../../web-components/import-wizard/typings/pintura';\r\nimport { useStore as useProductStore } from '../../stores/product';\r\nimport { PmsColor } from '@midocean/webapps-shared-domain';\r\n\r\nexport const maxNumberOfColoursValidator =\r\n  (shapes: AnnotationShape[], maximumColors: number, printPositionId: string) =>\r\n  ({ payload, validationResult }: ValidatorResult): ValidatorResult => {\r\n    const productStore = useProductStore();\r\n    const validatorName = 'maxNumberOfColoursValidator';\r\n    // in case of laser technique just return green result,\r\n    // because we always convert it to one color\r\n    // in case of full color, number of colours doesn't matter\r\n    if (\r\n      productStore.isLaserConverter(printPositionId) ||\r\n      productStore.isDebossingTechnique(printPositionId) ||\r\n      productStore.isFullColor(printPositionId)\r\n    ) {\r\n      return {\r\n        payload,\r\n        validationResult: validationResult.concat([\r\n          {\r\n            printPositionId: printPositionId,\r\n            validatorName: validatorName,\r\n            validatorColor: 'Green',\r\n          },\r\n        ]) as ValidationResult,\r\n      };\r\n    }\r\n\r\n    const coloursToValidate = [];\r\n\r\n    for (const shape of shapes) {\r\n      if (shape.kind === 'Logo' && shape.pmsColorsInPngFile) {\r\n        const { pmsColorsInPngFile } = shape;\r\n        coloursToValidate.push(...pmsColorsInPngFile);\r\n      } else if (shape.kind === 'Text') {\r\n        coloursToValidate.push({\r\n          name: shape.w2pText.colorName,\r\n          red: shape.w2pText.color[0],\r\n          green: shape.w2pText.color[1],\r\n          blue: shape.w2pText.color[2],\r\n        } as PmsColor);\r\n      }\r\n    }\r\n\r\n    const coloursWithoutDuplicates = [\r\n      ...new Set(coloursToValidate.map((item) => item.name)),\r\n    ];\r\n\r\n    if (coloursWithoutDuplicates.length > maximumColors) {\r\n      return {\r\n        payload,\r\n        validationResult: validationResult.concat([\r\n          {\r\n            printPositionId: printPositionId,\r\n            validatorName: validatorName,\r\n            validatorColor: 'Red',\r\n          },\r\n        ]) as ValidationResult,\r\n      };\r\n    }\r\n\r\n    return {\r\n      payload,\r\n      validationResult: validationResult.concat([\r\n        {\r\n          printPositionId: printPositionId,\r\n          validatorName: validatorName,\r\n          validatorColor: 'Green',\r\n        },\r\n      ]) as ValidationResult,\r\n    };\r\n  };\r\n","import {\r\n  fileTypeValidator,\r\n  maxNumberOfColoursValidator,\r\n  spotColorsValidator,\r\n  resolutionValidator,\r\n} from './index';\r\nimport { ProductPrintPositionBoxModel } from '@/typings';\r\nimport { useStore as useProductStore } from '../stores/product';\r\nimport { AnnotationShape } from '../web-components/import-wizard/typings/pintura';\r\nimport _flow from 'lodash.flow';\r\nimport {\r\n  PrintTechnique,\r\n  ProductPrintPosition,\r\n} from '@midocean/webapps-shared-domain';\r\n\r\nexport const constructArtworkValidationPipeline = (\r\n  productPrintData: any,\r\n  selectedPrintPositions: ProductPrintPositionBoxModel[],\r\n  shapes: AnnotationShape[],\r\n  shape: AnnotationShape,\r\n  checkMaxNoOfColors = true\r\n): any => {\r\n  // This array is reinitialized each time an Import of an shape to the wizard has been requested\r\n  const validators = [];\r\n  for (const {\r\n    id: printPositionId,\r\n    techniqueId: printTechniqueId,\r\n    techniqueName: techniqueName,\r\n  } of selectedPrintPositions) {\r\n    if (shape.kind === 'Logo') {\r\n      const productStore = useProductStore();\r\n      const activePrintPosition = productPrintData.productPrintPositions.find(\r\n        (p: ProductPrintPosition) => printPositionId === p.id\r\n      );\r\n      const activePrintTechnique = activePrintPosition?.printTechniques.find(\r\n        (t: PrintTechnique) =>\r\n          printTechniqueId === t.printTechnique.id || printTechniqueId === t.id\r\n      );\r\n\r\n      // Dynamically adding validators to the validation\r\n      for (const logoValidator of activePrintTechnique.logoValidators) {\r\n        if (logoValidator.type.trim() === 'FileType') {\r\n          validators.push(\r\n            fileTypeValidator(\r\n              logoValidator.configuration,\r\n              shape,\r\n              printPositionId\r\n            )\r\n          );\r\n        }\r\n\r\n        if (\r\n          logoValidator.type.trim() === 'Resolution' &&\r\n          shape.kind === 'Logo' &&\r\n          !shape.isVectorFileTrueVectorFile &&\r\n          shape.pngHorizontalResolutionDPIs &&\r\n          shape.pngVerticalResolutionDPIs\r\n        ) {\r\n          validators.push(\r\n            resolutionValidator(\r\n              logoValidator.configuration,\r\n              shape,\r\n              printPositionId\r\n            )\r\n          );\r\n        }\r\n\r\n        if (logoValidator.type.trim() === 'SpotColorsIncluded') {\r\n          validators.push(spotColorsValidator(shape, printPositionId));\r\n        }\r\n        // *This is where you will add and configured your validator into the pipeline\r\n        // if(logoValidator.type.trim() === 'SOME_VALIDATOR_TYPE_VALUE'){}\r\n      }\r\n\r\n      if (checkMaxNoOfColors) {\r\n        validators.push(\r\n          maxNumberOfColoursValidator(\r\n            shapes,\r\n            activePrintTechnique.maximumColours,\r\n            printPositionId\r\n          )\r\n        );\r\n      }\r\n    }\r\n  }\r\n\r\n  return _flow(validators);\r\n};\r\n","import { validate, ValidatorResult } from 'jsonschema';\r\n\r\nexport const jsonSchemaValidator = (\r\n  label: string,\r\n  value: JSON,\r\n  schema: unknown\r\n): ValidatorResult => {\r\n  // console.log('Incoming object for: ', label, value);\r\n  const validationResult = validate(value, schema);\r\n\r\n  // console.log(\r\n  //   `%c validation result: ${validationResult.valid}`,\r\n  //   validationResult.valid\r\n  //     ? 'background-color: #00ff00; padding: 0.2rem'\r\n  //     : 'background-color: #ff0000; padding: 0.2rem; color: white'\r\n  // );\r\n\r\n  // console.groupCollapsed(`property setter validation error for ${label}`);\r\n  // validationResult.errors.map(({ path, message }) => {\r\n  //   console.warn(path, message);\r\n  // });\r\n  // console.groupEnd();\r\n\r\n  return validationResult;\r\n};\r\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".wrapper[data-v-0979e9db]{display:flex}.thumbnail img[data-v-0979e9db]{width:100%;height:100%;-o-object-fit:contain;object-fit:contain}.thumbnail[data-v-0979e9db]{-o-object-position:50% 50%;object-position:50% 50%;width:160px;height:200px}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","export * from \"-!../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./SmallDetailsOneLogo.vue?vue&type=style&index=0&id=e4d436f2&prod&scoped=true&lang=scss\"","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".bx--dropdown[data-v-cefe4200]{border-bottom:none}.customer-logo .bx--loading-overlay[data-v-cefe4200]{position:absolute;width:100%;height:100%;top:unset;left:unset;background-color:hsla(0,0%,100%,.8)}.grid--background[data-v-cefe4200]{background-color:#f4f4f4;height:410}.debug[data-v-cefe4200]{position:absolute;max-height:200px;overflow:scroll;background:grey;color:#fff;right:0;top:0;padding:.5rem;margin-bottom:1rem;font-family:monospace}.debug+.debug[data-v-cefe4200]{top:110px;background:#db7093}.customer-logo[data-v-cefe4200]{font-family:IBM Plex Sans,Helvetica Neue,Arial,sans-serif;overflow-y:auto;overflow-x:hidden;height:410px;padding:10px 10px 0 10px;position:relative;scrollbar-width:thin}.inline-notification__wrapper[data-v-cefe4200]{margin:0 1rem}.inline-notification__wrapper .bx--inline-notification__close-button[data-v-cefe4200]{display:none}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","\"use strict\";\nObject.defineProperty(exports, \"__esModule\", { value: true });\nexports.isPositive = void 0;\n/** Validator that only allows positive numbers (`> 0`). */\nconst isPositive = (value) => {\n    if (typeof value !== 'number' || value <= 0 || Number.isNaN(value)) {\n        return 'value should be a positive number';\n    }\n    return undefined;\n};\nexports.isPositive = isPositive;\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \".search-area[data-v-798e296b]{padding-top:1%;display:flex}.search-area__input[data-v-798e296b]{max-width:50%}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./ErrorNotification.vue?vue&type=style&index=0&id=b8f49712&prod&lang=scss&scoped=true\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"81471dc6\", content, shadowRoot)\n};","'use strict';\nvar TO_STRING_TAG_SUPPORT = require('../internals/to-string-tag-support');\nvar isCallable = require('../internals/is-callable');\nvar classofRaw = require('../internals/classof-raw');\nvar wellKnownSymbol = require('../internals/well-known-symbol');\n\nvar TO_STRING_TAG = wellKnownSymbol('toStringTag');\nvar $Object = Object;\n\n// ES3 wrong here\nvar CORRECT_ARGUMENTS = classofRaw(function () { return arguments; }()) === 'Arguments';\n\n// fallback for IE11 Script Access Denied error\nvar tryGet = function (it, key) {\n  try {\n    return it[key];\n  } catch (error) { /* empty */ }\n};\n\n// getting tag from ES6+ `Object.prototype.toString`\nmodule.exports = TO_STRING_TAG_SUPPORT ? classofRaw : function (it) {\n  var O, tag, result;\n  return it === undefined ? 'Undefined' : it === null ? 'Null'\n    // @@toStringTag case\n    : typeof (tag = tryGet(O = $Object(it), TO_STRING_TAG)) == 'string' ? tag\n    // builtinTag case\n    : CORRECT_ARGUMENTS ? classofRaw(O)\n    // ES3 arguments fallback\n    : (result = classofRaw(O)) === 'Object' && isCallable(O.callee) ? 'Arguments' : result;\n};\n","'use strict';\n\nvar utils = require('./../utils');\n\nfunction InterceptorManager() {\n  this.handlers = [];\n}\n\n/**\n * Add a new interceptor to the stack\n *\n * @param {Function} fulfilled The function to handle `then` for a `Promise`\n * @param {Function} rejected The function to handle `reject` for a `Promise`\n *\n * @return {Number} An ID used to remove interceptor later\n */\nInterceptorManager.prototype.use = function use(fulfilled, rejected, options) {\n  this.handlers.push({\n    fulfilled: fulfilled,\n    rejected: rejected,\n    synchronous: options ? options.synchronous : false,\n    runWhen: options ? options.runWhen : null\n  });\n  return this.handlers.length - 1;\n};\n\n/**\n * Remove an interceptor from the stack\n *\n * @param {Number} id The ID that was returned by `use`\n */\nInterceptorManager.prototype.eject = function eject(id) {\n  if (this.handlers[id]) {\n    this.handlers[id] = null;\n  }\n};\n\n/**\n * Iterate over all the registered interceptors\n *\n * This method is particularly useful for skipping over any\n * interceptors that may have become `null` calling `eject`.\n *\n * @param {Function} fn The function to call for each interceptor\n */\nInterceptorManager.prototype.forEach = function forEach(fn) {\n  utils.forEach(this.handlers, function forEachHandler(h) {\n    if (h !== null) {\n      fn(h);\n    }\n  });\n};\n\nmodule.exports = InterceptorManager;\n","'use strict';\nvar shared = require('../internals/shared');\nvar uid = require('../internals/uid');\n\nvar keys = shared('keys');\n\nmodule.exports = function (key) {\n  return keys[key] || (keys[key] = uid(key));\n};\n","export * from \"-!../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PipelineValidationNotification.vue?vue&type=style&index=0&id=01b4becc&prod&lang=scss\"","module.exports = \"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgBAMAAACBVGfHAAAAHlBMVEUAAAApKSlLS0tSUlJ/f3+AgICIiIj4+Pj6+vr///+usss8AAAAAWJLR0QJ8dml7AAAADNJREFUKM9jYKAfYE1AE5CYiibAVImuRH3aQCmxmILKZ+50oLYC9SnornIgEECsAQz0BQC6Ew6zhn0a/gAAAABJRU5ErkJggg==\"","import { defineStore } from 'pinia';\r\n\r\nimport { useStore as useShapeStore } from './shape';\r\nimport { useStore as useProductStore } from './product';\r\nimport { px2mm } from '@/utils';\r\n\r\nexport const useStore = defineStore({\r\n  id: 'priceSection',\r\n\r\n  state: () => {\r\n    return {\r\n      payload: {},\r\n    };\r\n  },\r\n  getters: {},\r\n  actions: {\r\n    prepareEventPayload() {\r\n      const shapeStore = useShapeStore();\r\n      const productStore = useProductStore();\r\n\r\n      const positionImageDpi =\r\n        productStore.selectedPrintPosition.originalImageWebDpi;\r\n\r\n      const logosByPosition = shapeStore.positionShapeMap.reduce((rv, x) => {\r\n        (rv[x.id] = rv[x.id] || []).push(x.logoId);\r\n        return rv;\r\n      }, {} as { [key: string]: string[] });\r\n\r\n      const productPrintPositions = Object.entries(logosByPosition).map(\r\n        ([pId, logoIds]) => {\r\n          const position = productStore.unavailablePrintPositions.find(\r\n            (position) => position.positionId === pId\r\n          );\r\n          const logos = logoIds.map((logoId) => {\r\n            const shape = shapeStore.shapes.find(({ id }) => id === logoId);\r\n            if (shape) {\r\n              return {\r\n                id: shape.id,\r\n                name: shape.kind === 'Logo' ? shape.fileName : shape.w2pText,\r\n                width: shape.width,\r\n                height: shape.height,\r\n              };\r\n            }\r\n          });\r\n          /**\r\n           * NOTE: Until we have a calculation method to calculate bounding box for all logos\r\n           * we will send just the first logo's width and height\r\n           */\r\n          return {\r\n            width: px2mm(logos[0]?.width as number, positionImageDpi),\r\n            height: px2mm(logos[0]?.height as number, positionImageDpi),\r\n            printPositionSAPCode: position?.positionName,\r\n            printTechniqueSAPCode: position?.technique.id,\r\n            numberOfColors: '34',\r\n          };\r\n        }\r\n      );\r\n      return {\r\n        productPrintPositions,\r\n      };\r\n    },\r\n  },\r\n});\r\n","import _findIndex from 'lodash.findindex';\r\nimport { defineStore } from 'pinia';\r\n\r\nimport { useStore as useShapeStore } from './shape';\r\nimport { useStore as useColorManagementStore } from './colorsManagement';\r\n\r\nimport { useStore as usePriceSectionStore } from './priceSection';\r\nimport { useStore as useShapeBoxSectionStore } from './shapeBoxSection';\r\nimport { useStore as useProductStore } from './product';\r\nimport { useStore as useNotificationStore } from './notification';\r\nimport { useStore as useHistoryStore } from './history';\r\nimport { useStore as useMirrorStore } from './mirror';\r\n\r\nimport { mm2px, recalculateDPI } from '@/utils';\r\nimport { PmsColor } from '@midocean/webapps-shared-domain';\r\nimport { base64StringToBlob } from 'blob-util';\r\nimport { determineNewHeight, determineNewWidth, px2mm } from '@/utils/common';\r\nimport { createStateSnapshot } from '@/utils/historyHelper';\r\n\r\nexport const useStore = defineStore({\r\n  id: 'section',\r\n\r\n  state: () => {\r\n    return {\r\n      sections: [\r\n        {\r\n          id: 'print-position-box-section',\r\n          component: 'print-position-box',\r\n          context: ['any'],\r\n        },\r\n        {\r\n          id: 'ruler-settings',\r\n          component: 'ruler-settings',\r\n          context: ['any'],\r\n        },\r\n        {\r\n          id: 'color-management',\r\n          component: 'color-management',\r\n          context: ['any'],\r\n        },\r\n\r\n        {\r\n          id: 'shapebox-size-section',\r\n          component: 'shape-box-size',\r\n          context: ['shape-manipulation'],\r\n        },\r\n        {\r\n          id: 'background-type-section',\r\n          component: 'background-type-selection',\r\n          context: ['shape-manipulation'],\r\n        },\r\n        {\r\n          id: 'price-calc-section',\r\n          component: 'price-calc',\r\n          context: ['any'],\r\n        },\r\n        {\r\n          id: 'confirm-and-order-section',\r\n          component: 'confirm-and-order',\r\n          context: ['any'],\r\n        },\r\n      ],\r\n      appContext: ['any'],\r\n    };\r\n  },\r\n\r\n  getters: {\r\n    activeSections(state) {\r\n      return state.sections.filter((section) =>\r\n        state.appContext.some((appCtx) => section.context.includes(appCtx))\r\n      );\r\n    },\r\n\r\n    activeSectionsData() {\r\n      const priceSectionStore = usePriceSectionStore();\r\n      const colorManagmentStore = useColorManagementStore();\r\n      const shapeBoxSectionStore = useShapeBoxSectionStore();\r\n\r\n      return {\r\n        'shapebox-size-section': shapeBoxSectionStore.propsData,\r\n        'section-b': {},\r\n        'confirm-and-order-section': {},\r\n        'price-calc-section': {\r\n          eventPayload: priceSectionStore.prepareEventPayload(),\r\n        },\r\n        'color-management': {\r\n          pmsColorsInUse: colorManagmentStore.getPmsColorsOnPrintPosition,\r\n        },\r\n      };\r\n    },\r\n  },\r\n\r\n  actions: {\r\n    async updateIsRoundLogo(value: boolean) {\r\n      const shapeStore = useShapeStore();\r\n      const { activeShapeId, shapes } = shapeStore;\r\n      const currentShapeIndex = _findIndex(shapes, { id: activeShapeId });\r\n      const activeShape = shapes[currentShapeIndex];\r\n\r\n      await shapeStore.makeLogoRound(currentShapeIndex);\r\n      await shapeStore.updateColorsAfterImageIsAdjusted(activeShapeId, false);\r\n\r\n      activeShape.isRoundLogo = value;\r\n    },\r\n    update(key: string, value: number) {\r\n      const shapeStore = useShapeStore();\r\n      const notificationStore = useNotificationStore();\r\n      const productStore = useProductStore();\r\n      const positionImageDpi =\r\n        productStore.selectedPrintPosition.originalImageWebDpi;\r\n      const { activeShapeId, shapes } = shapeStore;\r\n\r\n      const currentShapeIndex = _findIndex(shapes, { id: activeShapeId });\r\n\r\n      const activeShape = shapes[currentShapeIndex];\r\n      const isTextShape = activeShape.kind === 'Text';\r\n\r\n      if (isTextShape) {\r\n        const smallDetails = activeShape.smallDetailsResult\r\n          ? { ...activeShape.smallDetailsResult, isCheckValid: false }\r\n          : undefined;\r\n        shapeStore.$patch((state) => {\r\n          state.shapes.splice(currentShapeIndex, 1, {\r\n            ...state.shapes[currentShapeIndex],\r\n            [key]: mm2px(value, positionImageDpi),\r\n            smallDetailsResult: smallDetails,\r\n          });\r\n        });\r\n      }\r\n\r\n      if (!isTextShape && key === 'width') {\r\n        const newHeight = determineNewHeight(\r\n          activeShape.height as number,\r\n          activeShape.width as number,\r\n          mm2px(value, positionImageDpi)\r\n        );\r\n\r\n        const smallDetails = activeShape.smallDetailsResult\r\n          ? { ...activeShape.smallDetailsResult, isCheckValid: false }\r\n          : undefined;\r\n\r\n        if (currentShapeIndex > -1) {\r\n          shapeStore.$patch((state) => {\r\n            state.shapes.splice(currentShapeIndex, 1, {\r\n              ...state.shapes[currentShapeIndex],\r\n              width: mm2px(value, positionImageDpi),\r\n              height: newHeight,\r\n              smallDetailsResult: smallDetails,\r\n            });\r\n\r\n            const dpi = productStore.activePosition.originalImageWebDpi || 300;\r\n            const originalShape = state.shapes[currentShapeIndex];\r\n\r\n            if (originalShape.kind === 'Logo') {\r\n              const newHDPI = recalculateDPI(\r\n                value,\r\n                originalShape.originalHorizontalResolutionDPIs,\r\n                originalShape.originalWidthMM\r\n              );\r\n\r\n              const newVDPI = recalculateDPI(\r\n                px2mm(newHeight as number, dpi),\r\n                originalShape.originalVerticalResolutionDPIs,\r\n                originalShape.originalHeightMM\r\n              );\r\n\r\n              const affectedShape = {\r\n                ...state.shapes[currentShapeIndex],\r\n                width: mm2px(value, positionImageDpi),\r\n                height: newHeight,\r\n                pngHorizontalResolutionDPIs: Math.round(newHDPI),\r\n                pngVerticalResolutionDPIs: Math.round(newVDPI),\r\n                smallDetailsResult: smallDetails,\r\n              };\r\n              const printPosition =\r\n                productStore.data.productPrintPositions.find(\r\n                  (p) => p.id === productStore.selectedPrintPosition.id\r\n                );\r\n              const technique = printPosition?.printTechniques.find(\r\n                (t) =>\r\n                  t.id === productStore.selectedPrintPosition.techniqueId ||\r\n                  t.printTechnique.id ===\r\n                    productStore.selectedPrintPosition.techniqueId\r\n              );\r\n              const config = technique?.logoValidators.find(\r\n                (v) => v.type.trim() === 'Resolution'\r\n              )?.configuration;\r\n\r\n              if (\r\n                config &&\r\n                affectedShape &&\r\n                affectedShape.kind === 'Logo' &&\r\n                !affectedShape.isVectorFileTrueVectorFile\r\n              ) {\r\n                notificationStore.revalidateResolutionOnly(\r\n                  affectedShape,\r\n                  config\r\n                );\r\n              }\r\n            }\r\n          });\r\n        }\r\n      }\r\n\r\n      if (!isTextShape && key === 'height') {\r\n        const newWidth = determineNewWidth(\r\n          activeShape.height as number,\r\n          activeShape.width as number,\r\n          mm2px(value, positionImageDpi)\r\n        );\r\n\r\n        const smallDetails = activeShape.smallDetailsResult\r\n          ? { ...activeShape.smallDetailsResult, isCheckValid: false }\r\n          : undefined;\r\n\r\n        if (currentShapeIndex > -1) {\r\n          shapeStore.$patch((state) => {\r\n            state.shapes.splice(currentShapeIndex, 1, {\r\n              ...state.shapes[currentShapeIndex],\r\n              height: mm2px(value, positionImageDpi),\r\n              width: newWidth,\r\n              smallDetailsResult: smallDetails,\r\n            });\r\n\r\n            const dpi = productStore.activePosition.originalImageWebDpi || 300;\r\n            const originalShape = state.shapes[currentShapeIndex];\r\n\r\n            if (originalShape.kind === 'Logo') {\r\n              const newHDPI = recalculateDPI(\r\n                px2mm(newWidth, dpi),\r\n                originalShape.originalHorizontalResolutionDPIs,\r\n                originalShape.originalWidthMM\r\n              );\r\n\r\n              const newVDPI = recalculateDPI(\r\n                value,\r\n                originalShape.originalVerticalResolutionDPIs,\r\n                originalShape.originalHeightMM\r\n              );\r\n\r\n              const affectedShape = {\r\n                ...state.shapes[currentShapeIndex],\r\n                width: newWidth,\r\n                height: mm2px(value, positionImageDpi),\r\n                pngHorizontalResolutionDPIs: Math.round(newHDPI),\r\n                pngVerticalResolutionDPIs: Math.round(newVDPI),\r\n                smallDetailsResult: smallDetails,\r\n              };\r\n              const printPosition =\r\n                productStore.data.productPrintPositions.find(\r\n                  (p) => p.id === productStore.selectedPrintPosition.id\r\n                );\r\n              const technique = printPosition?.printTechniques.find(\r\n                (t) =>\r\n                  t.id === productStore.selectedPrintPosition.techniqueId ||\r\n                  t.printTechnique.id ===\r\n                    productStore.selectedPrintPosition.techniqueId\r\n              );\r\n              const config = technique?.logoValidators.find(\r\n                (v) => v.type.trim() === 'Resolution'\r\n              )?.configuration;\r\n\r\n              if (\r\n                config &&\r\n                affectedShape &&\r\n                affectedShape.kind === 'Logo' &&\r\n                !affectedShape.isVectorFileTrueVectorFile\r\n              ) {\r\n                notificationStore.revalidateResolutionOnly(\r\n                  affectedShape,\r\n                  config\r\n                );\r\n              }\r\n            }\r\n          });\r\n        }\r\n      }\r\n\r\n      if (key === 'rotation') {\r\n        const rotation = (value * Math.PI) / 180;\r\n        shapeStore.$patch((state) => {\r\n          state.shapes.splice(currentShapeIndex, 1, {\r\n            ...state.shapes[currentShapeIndex],\r\n            rotation,\r\n          });\r\n        });\r\n      }\r\n\r\n      const mirrorStore = useMirrorStore();\r\n      mirrorStore.updateMirrorShape(shapeStore.shapes[currentShapeIndex]);\r\n\r\n      const historyStore = useHistoryStore();\r\n      const snapshot = createStateSnapshot();\r\n      historyStore.recordHistory(snapshot);\r\n    },\r\n    async replaceColor(from: PmsColor, to: PmsColor) {\r\n      const shapeStore = useShapeStore();\r\n      const mirrorStore = useMirrorStore();\r\n      const productStore = useProductStore();\r\n\r\n      await shapeStore.replaceColor(from, to).then((data) => {\r\n        data?.forEach(async (x) => {\r\n          const shapeIndex = _findIndex(shapeStore.shapes, {\r\n            id: x.id,\r\n          });\r\n          const shape = shapeStore.shapes[shapeIndex];\r\n\r\n          if (shape.kind === 'Logo') {\r\n            const artworkPmsColors = [...shape.pmsColorsInPngFile];\r\n            to.colorFuzz = 1;\r\n\r\n            const artworkPmsColorsWithSameName = artworkPmsColors.filter((x) =>\r\n              x.name.includes(from.name)\r\n            );\r\n\r\n            artworkPmsColorsWithSameName.forEach((artworkPmsColor) => {\r\n              artworkPmsColor.name = to.name;\r\n              artworkPmsColor.originalName = to.name;\r\n              artworkPmsColor.red = to.red;\r\n              artworkPmsColor.green = to.green;\r\n              artworkPmsColor.blue = to.blue;\r\n              artworkPmsColor.isOriginalSpotColor = from.isOriginalSpotColor;\r\n              artworkPmsColor.colorFuzz = to.colorFuzz;\r\n            });\r\n\r\n            shapeStore.$patch((state) => {\r\n              const originalShape = state.shapes[shapeIndex];\r\n              if (originalShape.kind === 'Logo') {\r\n                state.shapes.splice(shapeIndex, 1, {\r\n                  ...originalShape,\r\n                  pngFile: base64StringToBlob(x.file, 'image/png'),\r\n                  pngFileWithoutConverters: base64StringToBlob(\r\n                    x.file,\r\n                    'image/png'\r\n                  ),\r\n                  pmsColorsInPngFile: artworkPmsColors,\r\n                  backgroundImage: URL.createObjectURL(\r\n                    base64StringToBlob(x.file, 'image/png')\r\n                  ),\r\n                });\r\n              }\r\n            });\r\n\r\n            if (\r\n              productStore.selectedPrintPosition.techniqueId &&\r\n              shapeStore.shapes[shapeIndex]\r\n            ) {\r\n              await shapeStore.applyEffectIfNeeded(\r\n                productStore.selectedPrintPosition.id,\r\n                productStore.selectedPrintPosition.techniqueId,\r\n                shapeStore.shapes[shapeIndex]\r\n              );\r\n            }\r\n\r\n            mirrorStore.updateMirrorShape(shapeStore.shapes[shapeIndex]);\r\n          }\r\n        });\r\n      });\r\n    },\r\n    async removeColor(color: PmsColor) {\r\n      const shapeStore = useShapeStore();\r\n      const mirrorStore = useMirrorStore();\r\n      const productStore = useProductStore();\r\n\r\n      await shapeStore.removeColor(color).then((data) => {\r\n        data?.forEach(async (x) => {\r\n          const shapeIndex = _findIndex(shapeStore.shapes, {\r\n            id: x.id,\r\n          });\r\n\r\n          const originalShape = { ...shapeStore.shapes[shapeIndex] };\r\n          if (originalShape.kind === 'Logo') {\r\n            const shapePmsColors = originalShape.pmsColorsInPngFile;\r\n\r\n            if (shapePmsColors.length === 1) {\r\n              // NOTE: Notifications for bell and all validator pipeline results are left hanging even though nothing exists on Pintura\r\n\r\n              // If it's the last colour then the artwork is removed\r\n              await shapeStore.removeArtworkPayload(x.id, false);\r\n            } else {\r\n              if (shapePmsColors) {\r\n                const newPmsColors = shapePmsColors.filter(\r\n                  (x) => !x.name.includes(color.name)\r\n                );\r\n\r\n                const smallDetails =\r\n                  shapeStore.shapes[shapeIndex].smallDetailsResult;\r\n\r\n                shapeStore.$patch((state) => {\r\n                  const widthScaleFactor =\r\n                    originalShape.pngWidthPixels / x.file.widthInPx;\r\n                  const heightScaleFactor =\r\n                    originalShape.pngHeightPixels / x.file.heightInPx;\r\n                  const newWidth = originalShape.width / widthScaleFactor;\r\n                  const newHeight = originalShape.height / heightScaleFactor;\r\n\r\n                  state.shapes.splice(shapeIndex, 1, {\r\n                    ...originalShape,\r\n                    pngFile: base64StringToBlob(x.file.pngFile, 'image/png'),\r\n                    backgroundImage: URL.createObjectURL(\r\n                      base64StringToBlob(x.file.pngFile, 'image/png')\r\n                    ),\r\n                    pngFileWithoutConverters: base64StringToBlob(\r\n                      x.file.pngFile,\r\n                      'image/png'\r\n                    ),\r\n                    pngWidthPixels: x.file.widthInPx,\r\n                    pngHeightPixels: x.file.heightInPx,\r\n                    aspectRatio: x.file.widthInPx / x.file.heightInPx,\r\n                    width: newWidth,\r\n                    height: newHeight,\r\n                    pmsColorsInPngFile: newPmsColors,\r\n                    smallDetailsResult: smallDetails\r\n                      ? { ...smallDetails, isCheckValid: false }\r\n                      : undefined,\r\n                  });\r\n                });\r\n\r\n                if (\r\n                  productStore.selectedPrintPosition.techniqueId &&\r\n                  shapeStore.shapes[shapeIndex]\r\n                ) {\r\n                  await shapeStore.applyEffectIfNeeded(\r\n                    productStore.selectedPrintPosition.id,\r\n                    productStore.selectedPrintPosition.techniqueId,\r\n                    shapeStore.shapes[shapeIndex]\r\n                  );\r\n                }\r\n\r\n                mirrorStore.updateMirrorShape(shapeStore.shapes[shapeIndex]);\r\n              }\r\n            }\r\n          }\r\n        });\r\n      });\r\n    },\r\n  },\r\n});\r\n","<template>\r\n  <div class=\"app\">\r\n    <slot />\r\n  </div>\r\n</template>\r\n<script lang=\"ts\">\r\nimport Vue from 'vue';\r\n\r\nexport default Vue.extend({\r\n  data() {\r\n    return {};\r\n  },\r\n});\r\n</script>\r\n\r\n<style lang=\"scss\">\r\n@import './styles/carbon.scss';\r\n</style>\r\n<!-- Load Google Fonts -->\r\n<script src=\"https://ajax.googleapis.com/ajax/libs/webfont/1.5.10/webfont.js\"></script>\r\n<script lang=\"js\">\r\nvar WebFont = require('webfontloader');\r\nWebFont.load({\r\n  google: {\r\n    families: ['Roboto', 'Open Sans', 'Montserrat', 'Poppins', 'Nunito', 'Source Sans Pro',\r\n    'Oxygen', 'Sora', 'Hahmlet', 'Andada Pro', 'Epilogue', 'JetBrains Mono', 'Inter', 'Encode Sans',\r\n    'Manrope', 'Lora', 'Playfair Display', 'Archivo', 'Oswald', 'Cormorant'],\r\n  },\r\n});\r\n</script>\r\n","/**\n * lodash 3.0.0 (Custom Build) <https://lodash.com/>\n * Build: `lodash modern modularize exports=\"npm\" -o ./`\n * Copyright 2012-2015 The Dojo Foundation <http://dojofoundation.org/>\n * Based on Underscore.js 1.7.0 <http://underscorejs.org/LICENSE>\n * Copyright 2009-2015 Jeremy Ashkenas, DocumentCloud and Investigative Reporters & Editors\n * Available under MIT license <https://lodash.com/license>\n */\n\n/**\n * Gets the last element of `array`.\n *\n * @static\n * @memberOf _\n * @category Array\n * @param {Array} array The array to query.\n * @returns {*} Returns the last element of `array`.\n * @example\n *\n * _.last([1, 2, 3]);\n * // => 3\n */\nfunction last(array) {\n  var length = array ? array.length : 0;\n  return length ? array[length - 1] : undefined;\n}\n\nmodule.exports = last;\n","export * from \"-!../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./logo-library.vue?vue&type=style&index=0&id=1218d830&prod&lang=scss&shadow\"","export * from \"-!../../../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./ColorDropdown.vue?vue&type=style&index=0&id=2f97a665&prod&lang=scss&scoped=true\"","'use strict';\n// TODO: Remove from `core-js@4`\nrequire('../modules/es.set.symmetric-difference.v2');\n","export * from \"-!../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./TheApp.vue?vue&type=style&index=1&id=497fc83a&prod&lang=scss\"","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./PreviewSection.vue?vue&type=style&index=1&id=5ac16ed0&prod&lang=scss\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"492f2356\", content, shadowRoot)\n};","import {\r\n  AnnotationShape,\r\n  MirrorShape,\r\n} from '@/web-components/import-wizard/typings/pintura';\r\nimport { useStore as useProductStore } from './product';\r\nimport { useStore as useShapeStore } from './shape';\r\n\r\nimport { defineStore } from 'pinia';\r\nimport { v4 as uuidv4 } from 'uuid';\r\nimport { PositionMirrorSettings } from '@/web-components/import-wizard/typings/common/mirror';\r\nimport {\r\n  LanyardConfiguration as ProofLanyardCOnfiguration,\r\n  Category,\r\n  LanyardPrintPositionConfiguration,\r\n} from '@midocean/webapps-shared-domain';\r\nimport { mm2px } from '@/utils';\r\nimport { Proof } from '@midocean/webapps-shared-domain';\r\nimport { MirrorSnapshot } from '@/typings/history';\r\n\r\nexport const useStore = defineStore({\r\n  id: 'mirror',\r\n  state: () => {\r\n    return {\r\n      mirrorShapes: [] as MirrorShape[],\r\n      positionMirrorShapeMap: [] as Record<string, string>[],\r\n      positionMirrorSettings: [] as PositionMirrorSettings[],\r\n    };\r\n  },\r\n  getters: {\r\n    isMirrorEffectAppliedToShape: (state) => {\r\n      return (shapeId: string): boolean => {\r\n        return (\r\n          state.mirrorShapes.findIndex((x) => x.originalShapeId === shapeId) !==\r\n          -1\r\n        );\r\n      };\r\n    },\r\n    currentMirrorSettings: (state) => {\r\n      const productStore = useProductStore();\r\n      return state.positionMirrorSettings.find(\r\n        (x) => x.positionId === productStore.selectedPrintPosition.id\r\n      );\r\n    },\r\n  },\r\n  actions: {\r\n    getActiveMirrorShapes(): MirrorShape[] {\r\n      const productStore = useProductStore();\r\n      return this.mirrorShapes.length > 0\r\n        ? [\r\n            ...this.mirrorShapes.filter((shape) =>\r\n              this.positionMirrorShapeMap.some(\r\n                (psm) =>\r\n                  psm.positionId === productStore.selectedPrintPosition.id &&\r\n                  psm.mirrorId === shape.id\r\n              )\r\n            ),\r\n          ]\r\n        : [];\r\n    },\r\n    reassignMirrorShapes({ from, to }: { from: string; to: string }) {\r\n      if (from === to) {\r\n        return;\r\n      }\r\n\r\n      const productStore = useProductStore();\r\n\r\n      const productPrintPosition = productStore.data.productPrintPositions.find(\r\n        (x) => x.id === to\r\n      );\r\n      if (\r\n        productPrintPosition &&\r\n        productPrintPosition.category === Category.Lanyard\r\n      ) {\r\n        const reassignedFromTo = this.positionMirrorShapeMap.map((psm) => {\r\n          return psm.positionId === from ? { ...psm, positionId: to } : psm;\r\n        });\r\n        this.positionMirrorShapeMap = reassignedFromTo;\r\n      } else {\r\n        this.mirrorShapes = [];\r\n        this.positionMirrorSettings = [];\r\n      }\r\n    },\r\n    initializeMirrorSetting() {\r\n      const productStore = useProductStore();\r\n      productStore.unavailablePrintPositions.forEach((p) => {\r\n        const productPrintPosition =\r\n          productStore.data.productPrintPositions.find(\r\n            (x) => x.name === p.printPositionSAPCode\r\n          );\r\n        if (\r\n          productPrintPosition &&\r\n          productPrintPosition.category === Category.Lanyard\r\n        ) {\r\n          const configuration =\r\n            productPrintPosition.categoryConfiguration as LanyardPrintPositionConfiguration;\r\n          this.positionMirrorSettings.push({\r\n            positionId: p.positionId,\r\n            isMirrorApplied: false,\r\n            isOppositeRotationApplied: false,\r\n            distance: mm2px(\r\n              configuration.distanceOfMirrorPosition,\r\n              productPrintPosition.originalImageWebDpi\r\n            ),\r\n            distanceMm: configuration.distanceOfMirrorPosition,\r\n          });\r\n        }\r\n      });\r\n    },\r\n\r\n    initializeMirrorSettingsFromProof(proof: Proof) {\r\n      const productStore = useProductStore();\r\n      productStore.unavailablePrintPositions.forEach((p) => {\r\n        const proofPrintPosition = proof.productPrintPositions.find(\r\n          (x) => x.name === p.printPositionSAPCode\r\n        );\r\n        if (\r\n          proofPrintPosition &&\r\n          proofPrintPosition.category === Category.Lanyard\r\n        ) {\r\n          const productPrintPosition =\r\n            productStore.data.productPrintPositions.find(\r\n              (x) => x.name === proofPrintPosition.name\r\n            );\r\n\r\n          if (\r\n            productPrintPosition &&\r\n            productPrintPosition.category === Category.Lanyard\r\n          ) {\r\n            const configuration =\r\n              productPrintPosition.categoryConfiguration as LanyardPrintPositionConfiguration;\r\n\r\n            const proofConfiguration =\r\n              proofPrintPosition.categoryConfiguration as ProofLanyardCOnfiguration;\r\n            this.positionMirrorSettings.push({\r\n              positionId: p.positionId,\r\n              isMirrorApplied: proofConfiguration.isMirrorApplied,\r\n              isOppositeRotationApplied:\r\n                proofConfiguration.isOppositeRotationApplied,\r\n              distance: mm2px(\r\n                configuration.distanceOfMirrorPosition,\r\n                productPrintPosition.originalImageWebDpi\r\n              ),\r\n              distanceMm: configuration.distanceOfMirrorPosition,\r\n            });\r\n          }\r\n        }\r\n      });\r\n\r\n      this.initializeMirrorPositions();\r\n    },\r\n\r\n    addPositionMirrorSettings(\r\n      positionId: string,\r\n      isMirrorApplied: boolean,\r\n      isOppositeRotationApplied: boolean\r\n    ) {\r\n      const productStore = useProductStore();\r\n\r\n      const productPrintPosition = productStore.data.productPrintPositions.find(\r\n        (x) => x.id === positionId\r\n      );\r\n      if (\r\n        productPrintPosition &&\r\n        productPrintPosition.category === Category.Lanyard\r\n      ) {\r\n        const configuration =\r\n          productPrintPosition.categoryConfiguration as LanyardPrintPositionConfiguration;\r\n        this.positionMirrorSettings.push({\r\n          positionId: positionId,\r\n          isMirrorApplied: isMirrorApplied,\r\n          isOppositeRotationApplied: isOppositeRotationApplied,\r\n          distance: mm2px(\r\n            configuration.distanceOfMirrorPosition,\r\n            productPrintPosition.originalImageWebDpi\r\n          ),\r\n          distanceMm: configuration.distanceOfMirrorPosition,\r\n        });\r\n      }\r\n    },\r\n    removePositionMirrorSettings(positionId: string) {\r\n      const idx = this.positionMirrorSettings.findIndex(\r\n        (x) => x.positionId === positionId\r\n      );\r\n      if (idx !== -1) {\r\n        this.positionMirrorSettings.splice(idx, 1);\r\n        this.positionMirrorShapeMap = this.positionMirrorShapeMap.filter(\r\n          (x) => x.positionId !== positionId\r\n        );\r\n      }\r\n    },\r\n    addMirrorShape(originalShape: AnnotationShape) {\r\n      const productStore = useProductStore();\r\n      if (this.currentMirrorSettings) {\r\n        const rotation = this.currentMirrorSettings.isOppositeRotationApplied\r\n          ? (originalShape.rotation + 180) % 360\r\n          : originalShape.rotation;\r\n\r\n        const mirroredShape: MirrorShape = {\r\n          ...originalShape,\r\n          originalShapeId: originalShape.id,\r\n          id: uuidv4(),\r\n          y: originalShape.y + this.currentMirrorSettings.distance,\r\n          rotation: rotation * (Math.PI / 180),\r\n          disableManipulate: false,\r\n          disableSelect: true,\r\n          isSelected: false,\r\n        };\r\n\r\n        this.mirrorShapes.push(mirroredShape);\r\n\r\n        this.positionMirrorShapeMap.push({\r\n          positionId: productStore.selectedPrintPosition.id,\r\n          mirrorId: mirroredShape.id,\r\n        });\r\n      }\r\n    },\r\n\r\n    addMirrorShapeToPosition(\r\n      originalShape: AnnotationShape,\r\n      positionId: string\r\n    ) {\r\n      const mirrorSettings = this.positionMirrorSettings.find(\r\n        (x) => x.positionId === positionId\r\n      );\r\n      if (mirrorSettings) {\r\n        const rotation = mirrorSettings.isOppositeRotationApplied\r\n          ? (originalShape.rotation + 180) % 360\r\n          : originalShape.rotation;\r\n\r\n        const mirroredShape: MirrorShape = {\r\n          ...originalShape,\r\n          originalShapeId: originalShape.id,\r\n          id: uuidv4(),\r\n          y: originalShape.y + mirrorSettings.distance,\r\n          rotation: rotation * (Math.PI / 180),\r\n          disableManipulate: false,\r\n          disableSelect: true,\r\n          isSelected: false,\r\n        };\r\n\r\n        this.mirrorShapes.push(mirroredShape);\r\n\r\n        this.positionMirrorShapeMap.push({\r\n          positionId: mirrorSettings.positionId,\r\n          mirrorId: mirroredShape.id,\r\n        });\r\n      }\r\n    },\r\n    removeMirrorShape(originalShapeId: string) {\r\n      const idx = this.mirrorShapes.findIndex(\r\n        (x) => x.originalShapeId === originalShapeId\r\n      );\r\n      if (idx !== -1) {\r\n        this.mirrorShapes.splice(idx, 1);\r\n      }\r\n    },\r\n    updateMirrorShape(originalShape: AnnotationShape) {\r\n      const mirrorShapeIdx = this.mirrorShapes.findIndex(\r\n        (x) => x.originalShapeId === originalShape.id\r\n      );\r\n\r\n      if (mirrorShapeIdx !== -1 && this.currentMirrorSettings) {\r\n        const mirrorShape = this.mirrorShapes[mirrorShapeIdx];\r\n\r\n        if (mirrorShape.kind === 'Logo' && originalShape.kind === 'Logo') {\r\n          mirrorShape.backgroundImage = originalShape.backgroundImage;\r\n        }\r\n\r\n        if (mirrorShape.kind === 'Text' && originalShape.kind === 'Text') {\r\n          mirrorShape.w2pText = originalShape.w2pText;\r\n          mirrorShape.backgroundImage = originalShape.backgroundImage;\r\n        }\r\n\r\n        this.mirrorShapes.splice(mirrorShapeIdx, 1, {\r\n          ...mirrorShape,\r\n          x: originalShape.x,\r\n          y: originalShape.y + this.currentMirrorSettings.distance,\r\n          width: originalShape.width,\r\n          height: originalShape.height,\r\n        });\r\n      }\r\n    },\r\n    updateRotation(isOppositeRotationApplied: boolean) {\r\n      const shapeStore = useShapeStore();\r\n      const productStore = useProductStore();\r\n      const settingsIdx = this.positionMirrorSettings.findIndex(\r\n        (x) => x.positionId === productStore.selectedPrintPosition.id\r\n      );\r\n      if (this.currentMirrorSettings) {\r\n        this.positionMirrorSettings.splice(settingsIdx, 1, {\r\n          ...this.currentMirrorSettings,\r\n          isOppositeRotationApplied,\r\n        });\r\n\r\n        this.mirrorShapes.forEach((mirrorShape, idx) => {\r\n          const originalShape = shapeStore.shapes.find(\r\n            (s) => s.id === mirrorShape.originalShapeId\r\n          );\r\n          if (originalShape) {\r\n            const rotation = isOppositeRotationApplied\r\n              ? (originalShape.rotation + 180) % 360\r\n              : originalShape.rotation;\r\n\r\n            this.mirrorShapes.splice(idx, 1, {\r\n              ...mirrorShape,\r\n              rotation: rotation * (Math.PI / 180),\r\n            });\r\n          }\r\n        });\r\n      }\r\n    },\r\n    updateMirror(isMirrorApplied: boolean) {\r\n      const productStore = useProductStore();\r\n      const settingsIdx = this.positionMirrorSettings.findIndex(\r\n        (x) => x.positionId === productStore.selectedPrintPosition.id\r\n      );\r\n      if (this.currentMirrorSettings) {\r\n        this.positionMirrorSettings.splice(settingsIdx, 1, {\r\n          ...this.currentMirrorSettings,\r\n          isMirrorApplied,\r\n        });\r\n        if (!isMirrorApplied) {\r\n          this.mirrorShapes = [];\r\n          this.positionMirrorShapeMap = [];\r\n        }\r\n\r\n        if (isMirrorApplied) {\r\n          const productStore = useProductStore();\r\n          const shapeStore = useShapeStore();\r\n          const originalShapes = shapeStore.shapes.filter((shape) =>\r\n            shapeStore.positionShapeMap.some(\r\n              (psm) =>\r\n                psm.id === productStore.selectedPrintPosition.id &&\r\n                psm.logoId === shape.id\r\n            )\r\n          );\r\n\r\n          originalShapes.forEach((shape) => this.addMirrorShape(shape));\r\n        }\r\n      }\r\n    },\r\n    initializeMirrorPositions() {\r\n      const shapeStore = useShapeStore();\r\n      const productStore = useProductStore();\r\n\r\n      for (const position of productStore.unavailablePrintPositions) {\r\n        const mirrorPostionSettingsIdx = this.positionMirrorSettings.findIndex(\r\n          (x) => x.positionId === position.positionId\r\n        );\r\n\r\n        if (mirrorPostionSettingsIdx !== -1) {\r\n          const isMirrorApplied =\r\n            this.positionMirrorSettings[mirrorPostionSettingsIdx]\r\n              .isMirrorApplied;\r\n\r\n          if (isMirrorApplied) {\r\n            const positionOriginalShapesIds =\r\n              shapeStore.positionShapeMap.filter(\r\n                (x) => x.id === position.positionId\r\n              );\r\n\r\n            for (const positionShapeID of positionOriginalShapesIds) {\r\n              const originalShape = shapeStore.shapes.find(\r\n                (x) => x.id === positionShapeID.logoId\r\n              );\r\n              if (originalShape) {\r\n                this.addMirrorShapeToPosition(\r\n                  originalShape,\r\n                  position.positionId\r\n                );\r\n              }\r\n            }\r\n          }\r\n        }\r\n      }\r\n    },\r\n\r\n    updateMirrorStateFromSnapshot(snapshot: MirrorSnapshot) {\r\n      this.$patch((state) => {\r\n        if (snapshot !== undefined) {\r\n          state.mirrorShapes = snapshot.mirrorShapes;\r\n          state.positionMirrorSettings = snapshot.positionMirrorSettings;\r\n          state.positionMirrorShapeMap = snapshot.positionMirrorShapeMap;\r\n        }\r\n      });\r\n    },\r\n  },\r\n});\r\n","'use strict';\n// toObject with fallback for non-array-like ES3 strings\nvar IndexedObject = require('../internals/indexed-object');\nvar requireObjectCoercible = require('../internals/require-object-coercible');\n\nmodule.exports = function (it) {\n  return IndexedObject(requireObjectCoercible(it));\n};\n","// Imports\nvar ___CSS_LOADER_API_IMPORT___ = require(\"../../../../node_modules/css-loader/dist/runtime/api.js\");\nexports = ___CSS_LOADER_API_IMPORT___(false);\n// Module\nexports.push([module.id, \"div[data-notification]{position:relative;max-width:none;z-index:2}.inline-notification__wrapper{margin:0 1rem}.print-positions__footer{background-color:#393939}.print-positions__footer .bx--btn-set .bx--btn{min-width:50%;min-height:64px;font-size:14px}.bx--inline-notification__text-wrapper{padding:15px 0}.bx--inline-notification__icon{margin-top:14px}.bx--inline-notification{min-height:48px}.bx--inline-notification__subtitle,.bx--inline-notification__title{font-size:14px}.bx--inline-notification__close-button{display:none}\", \"\"]);\n// Exports\nmodule.exports = exports;\n","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../node_modules/css-loader/dist/cjs.js??ref--7-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--7-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--7-oneOf-1-3!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./SmallDetailsMultipleLogos.vue?vue&type=style&index=1&id=4f540050&prod&lang=css\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"34da82b2\", content, shadowRoot)\n};","'use strict';\n/* eslint-disable es/no-symbol -- required for testing */\nvar NATIVE_SYMBOL = require('../internals/symbol-constructor-detection');\n\nmodule.exports = NATIVE_SYMBOL\n  && !Symbol.sham\n  && typeof Symbol.iterator == 'symbol';\n","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./Footer.vue?vue&type=style&index=0&id=ca9025c8&prod&lang=scss&scoped=true\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"42d14880\", content, shadowRoot)\n};","export const POSITIONS_MANAGER_WIDTH = 308;\r\nexport const ICONS_TOOLBAR_WIDTH = 58;\r\nexport const PANELS_WIDTH = 240;\r\nexport const HEADER_HEIGHT = 53;\r\nexport const PINTURA_MAX_MARGIN_LEFT = 174;\r\nexport const PINTURA_MAX_MARGIN_RIGHT = 94;\r\nexport const BACKGROUND_IMAGE_DPI = 72;\r\nexport const BACKGROUND_IMAGE_W = 1000;\r\nexport const BACKGROUND_IMAGE_H = 1023;\r\nexport const AREA_MARGINS = 10;\r\nexport const PREVIEW_IMAGE_BOX = 204;\r\nexport const PREVIEW_PRODUCT_BOX = 680;\r\nexport const ORDER_DETAILS_WIDTH = 628;\r\nexport const ORDER_DETAILS_HEIGHT = 79;\r\nexport const RIGHT_SECTIONS_HEIGHT_PADDING = 17;\r\nexport const PANELS_HEIGHT_PADDING = 3;\r\nexport const STROKE_COLOR_ACTIVE = [\r\n  0.807843137254902, 0.058823529411764705, 0.4117647058823529,\r\n];\r\nexport const STROKE_COLOR_PASSIVE = [0.553, 0.553, 0.553, 0.3];\r\nexport const STROKE_COLOR_GREEN = [0.141, 0.631, 0.282];\r\n\r\nexport const HOME_PANEL = 'home-panel';\r\nexport const LANYARDS_PANEL = 'lanyard-panel-options';\r\nexport const IMAGE_PANEL = 'image-panel-options';\r\nexport const TEXT_PANEL = 'text-panel-options';\r\n","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./TheApp.vue?vue&type=style&index=0&id=e894e20c&prod&lang=scss\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"03197930\", content, shadowRoot)\n};","export * from \"-!../../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./OpenNotifications.vue?vue&type=style&index=0&id=ff8f7e6c&prod&lang=scss&scoped=true\"","// style-loader: Adds some css to the DOM by adding a <style> tag\n\n// load the styles\nvar content = require(\"!!../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./upload-logo.vue?vue&type=style&index=0&id=28b97faa&prod&lang=scss&shadow\");\nif(content.__esModule) content = content.default;\nif(typeof content === 'string') content = [[module.id, content, '']];\nif(content.locals) module.exports = content.locals;\n// add CSS to Shadow Root\nvar add = require(\"!../../../node_modules/vue-style-loader/lib/addStylesShadow.js\").default\nmodule.exports.__inject__ = function (shadowRoot) {\n  add(\"30e38584\", content, shadowRoot)\n};","export * from \"-!../../../../node_modules/vue-style-loader/index.js??ref--9-oneOf-1-0!../../../../node_modules/css-loader/dist/cjs.js??ref--9-oneOf-1-1!../../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-2!../../../../node_modules/postcss-loader/src/index.js??ref--9-oneOf-1-3!../../../../node_modules/sass-loader/dist/cjs.js??ref--9-oneOf-1-4!../../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./OrderOverviewProductData.vue?vue&type=style&index=0&id=7df16423&prod&lang=scss&scoped=true\"","import { useStore as useProductStore } from '@/stores/product';\r\nimport { lineWidth } from '@/constants/areaLineWidth';\r\nimport { TextShape } from '@/web-components/import-wizard/typings/pintura';\r\nimport { mm2px } from '../utils';\r\n\r\nexport function positionText(\r\n  shape: TextShape,\r\n  positionId: string,\r\n  repositionText: boolean\r\n) {\r\n  const artworkSpaceConsumed = 0.97;\r\n  let calcWidth = 0;\r\n  let calcHeight = 0;\r\n\r\n  const productStore = useProductStore();\r\n\r\n  const currentPrintPosition = productStore.printPositions?.find((p) => {\r\n    return p.id === positionId;\r\n  });\r\n\r\n  if (currentPrintPosition) {\r\n    const {\r\n      printArea,\r\n      originalImageWebDpi,\r\n      originalImageWidthPx,\r\n      originalImageDpi,\r\n    } = currentPrintPosition;\r\n    const webImageWidthPx =\r\n      (originalImageWidthPx * originalImageWebDpi) / originalImageDpi;\r\n    const rectLineWidth = (lineWidth * webImageWidthPx) / 100;\r\n    let areaWidth = 0;\r\n    let areaHeight = 0;\r\n    let areaRect = {\r\n      x: 0,\r\n      y: 0,\r\n      w: 0,\r\n      h: 0,\r\n    };\r\n\r\n    if (\r\n      currentPrintPosition.printArea?.shapeType === 'Rectangle' ||\r\n      currentPrintPosition.printArea?.shapeType === 'Ellipse'\r\n    ) {\r\n      areaRect = {\r\n        x: productStore.area(positionId)[0]?.x,\r\n        y: productStore.area(positionId)[0]?.y,\r\n        w: mm2px(printArea.widthMm, originalImageWebDpi),\r\n        h: mm2px(printArea.heightMm, originalImageWebDpi),\r\n      };\r\n      areaHeight = printArea.heightMm;\r\n      areaWidth = printArea.widthMm;\r\n    } else if (currentPrintPosition.printArea?.shapeType === 'Polygon') {\r\n      const minX = Math.min(\r\n        ...printArea.productPrintAreaPoints.map((o) => o.distanceFromLeftEdge)\r\n      );\r\n      const minY = Math.min(\r\n        ...printArea.productPrintAreaPoints.map((o) => o.distanceFromTop)\r\n      );\r\n      const maxX = Math.max(\r\n        ...printArea.productPrintAreaPoints.map((o) => o.distanceFromLeftEdge)\r\n      );\r\n      const maxY = Math.max(\r\n        ...printArea.productPrintAreaPoints.map((o) => o.distanceFromTop)\r\n      );\r\n\r\n      areaRect = {\r\n        x: minX - rectLineWidth / 2,\r\n        y: minY - rectLineWidth / 2,\r\n        w: mm2px(maxX - minX, originalImageWebDpi),\r\n        h: mm2px(maxY - minY, originalImageWebDpi),\r\n      };\r\n\r\n      areaHeight = maxY - minY;\r\n      areaWidth = maxX - minX;\r\n    }\r\n\r\n    calcWidth =\r\n      (areaRect.w * shape.originalWidthMM * artworkSpaceConsumed) / areaWidth;\r\n    calcHeight =\r\n      (areaRect.h * shape.originalHeightMM * artworkSpaceConsumed) / areaHeight;\r\n\r\n    const gapW =\r\n      calcWidth > areaRect.w ? 0 : areaRect.w - calcWidth - lineWidth * 2;\r\n    const gapH =\r\n      calcHeight > areaRect.h ? 0 : areaRect.h - calcHeight - lineWidth * 2;\r\n\r\n    if (repositionText) {\r\n      shape.y = areaRect.y + gapH / 2;\r\n      shape.x = areaRect.x + lineWidth;\r\n\r\n      const rotationInDegrees = currentPrintPosition?.printArea\r\n        .rotation as number;\r\n      shape.rotation = (rotationInDegrees * Math.PI) / 180;\r\n    }\r\n\r\n    shape.width = calcWidth;\r\n    shape.height = calcHeight;\r\n  }\r\n}\r\n","export * from \"-!../../../node_modules/vue-style-loader/index.js??ref--7-oneOf-1-0!../../../node_modules/css-loader/dist/cjs.js??ref--7-oneOf-1-1!../../../node_modules/vue-loader/lib/loaders/stylePostLoader.js!../../../node_modules/postcss-loader/src/index.js??ref--7-oneOf-1-2!../../../node_modules/postcss-loader/src/index.js??ref--7-oneOf-1-3!../../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../node_modules/vue-loader/lib/index.js??vue-loader-options!./TheApp.vue?vue&type=style&index=1&id=e894e20c&prod&scoped=true&lang=css\""],"sourceRoot":""}