1159cl/lib/icecast-metadata-player-1.17.3.synaudio.min.js.map

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* Copyright 2020 Google LLC\n *\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n *     http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n */\nmodule.exports = Worker;","const t=(t,n=4294967295,e=79764919)=>{const r=new Int32Array(256);let o,s,i,c=n;for(o=0;o<256;o++){for(i=o<<24,s=8;s>0;--s)i=2147483648&i?i<<1^e:i<<1;r[o]=i}for(o=0;o<t.length;o++)c=c<<8^r[255&(c>>24^t[o])];return c},n=t=>{const n=[];for(const e of t){let 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m=i.subarray(0,g);if(p&&1===a){const t=e(m);if(t!==l){const n=\"Decode failed crc32 validation\";throw console.error(\"`simple-yenc`\\n\",n+\"\\n\",\"Expected: \"+l+\"; Got: \"+t+\"\\n\",\"Visit https://github.com/eshaz/simple-yenc for more information\"),Error(n)}}return m},r=(n,e='\"',r=t,o)=>{const s=(t,n)=>(t%n+n)%n,i=(t,n)=>n.push(String.fromCharCode(61,(t+64)%256)),c=t=>t.map((t=>t.toString(16).padStart(2,\"0\")));let a,l,f=[],g=1/0,h=Array(256).fill(0);if('\"'===e?(l=[0,8,9,10,11,12,13,34,92,61],a=t=>0===t||8===t||9===t||10===t||11===t||12===t||13===t||34===t||92===t||61===t):\"'\"===e?(l=[0,8,9,10,11,12,13,39,92,61],a=t=>0===t||8===t||9===t||10===t||11===t||12===t||13===t||39===t||92===t||61===t):\"`\"===e&&(l=[13,61,96],f=[7,205,231],a=(t,n)=>13===t||36===t&&123===n||61===t||92===t&&(85===n||117===n)||96===t),void 0===o){o=0;for(let t=0;t<n.length;t++){const e=0|n[t];h[e]++;for(let r=0;r<f.length;r++){const o=f[r];s(e-n[t+1]|0,256)===o&&h[e]++}}for(let t=0;t<256;t++){let n=0;for(let e=0;e<l.length;e++)n+=h[s(l[e]-t,256)];n<g&&(g=n,o=t)}}const p=[\"dynEncode\",\"01\",c([o]),...c((t=>{const n=new Uint8Array(4);return new DataView(n.buffer).setInt32(0,t,!0),[...n]})(r(n)))];for(let t=0;t<n.length;t++){const e=(n[t]+o)%256;a(e,(n[t+1]+o)%256)?i(e,p):p.push(String.fromCharCode(e))}return\"\\\\\"===p[p.length-1]&&(p.pop(),i(92,p)),p.join(\"\")},o=t=>t.replace(/[\\\\]/g,\"\\\\\\\\\").replace(/[`]/g,\"\\\\`\").replace(/\\${/g,\"\\\\${\");export{t as crc32,e as decode,r as dynamicEncode,n as encode,o as stringify};\n","/* Copyright 2022-2023 Ethan Halsall\n    \n    This file is part of synaudio.\n    \n    synaudio is free software: you can redistribute it and/or modify\n    it under the terms of the GNU Lesser General Public License as published by\n    the Free Software Foundation, either version 3 of the License, or\n    (at your option) any later version.\n\n    synaudio is distributed in the hope that it will be useful,\n    but WITHOUT ANY WARRANTY; without even the implied warranty of\n    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n    GNU Lesser General Public License for more details.\n\n    You should have received a copy of the GNU Lesser General Public License\n    along with this program.  If not, see <https://www.gnu.org/licenses/>\n*/\n\nimport { decode } from \"simple-yenc\";\nimport Worker from \"@eshaz/web-worker\";\n\n// prettier-ignore\nconst simd=async()=>WebAssembly.validate(new Uint8Array([0,97,115,109,1,0,0,0,1,5,1,96,0,1,123,3,2,1,0,10,10,1,8,0,65,0,253,15,253,98,11]))\n\nconst wasmModule = new WeakMap();\n\n/* WASM strings are embeded during the build */\nconst simdWasm = String.raw`dynEncode01658cce3922eÆØÒfeeefsfÅoääääääääääegtfhÊÓÛkÒÊÒÔ×Þgeghgfekmfäe¦åíipl€gnÈÔ××ÊÑÆÙÊeepÄÄÍÊÆÕÄÇÆØÊheo\u0016Œf\u0013Œivälànâiá©eeeeeeee†“g¥g¥…g¦g­re…g¦fІ|…f¦v³i¥…f¦uІz¦e…fІ}…e…f¦gهxφ~…e¦¥Ð‡u†th¥…f…f…wчvφ{…t†p…u†o¦e†qh¥…e…q‡g¦gÙχq…qbeee…e…g…vϦgÙÏbeeebIfbpee…e…g¦iׇq¦gÙχr…rbeee…e…q…vϦgÙÏbeeebIfbpee…e…g¦mׇq¦gÙχr…rbeee…e…q…vϦgÙÏbeeebIfbpee…e…g¦qׇq¦gÙχr…rbeee…e…q…vϦgÙÏbeeebIfbpee…p‡r¦¥Ð†p…o‡s¦¥Ð†o…g¦uχq…z­repg¥…f…q±reg¥…f…qЇo¦i®re…e…q…vϦgÙυ~®iä…e…q¦gÙυe…{¦gÙÏ®j¦epre…o¦áև{¦iЇp¦gÛ¦fϦfֆg¥…pªi¥¦e†gqfp…z…gЦáÖ¦iЦgÛ¦fϦcdddlֆp¦e†gh¥…s…rbege…sbegebIfbpge…s…rbegu…sbegubIfbpgu…r¦…φr…s¦…φs…g¦mφg…p¦gЇprepp…i¥…e…g…qχg¦gÙχp…e…g…vϦgÙÏbege…pbegebIfbpgep…o…{«rf…f…q…{χqІop…q¦ä؆g…o¦fÖiä…e…q¦gÙχo…e…q…vϦgÙϏge…oge÷ge…q¦fÏj…qp†q…g…}«re…f…qІp…y…q¦gهoφr…e†gh¥…g…oχq…g…rχsge…qge÷ge…q…sgi…qgi÷gi…g¦mφg…p¦gЇprepp…x…yφy…t…xφt…w¦fχw…|¬repqfp…f¦e±re¦e…fІt…f¦fֆu…e…f¦gهvφw…f¦i®†y…f¦áևo¦q«†zh¥…f…rцs¦e†gg¥g¥…yre…e…e…f…sϦgÙÏ®…w…e…s¦gÙχq°Öre…e…qbege…ebegebIfbpgeg¥…o¦i«re…e…qbegu…ebegubIfbpgu…o¦m«re…e…qbeg……ebeg…bIfbpg……zre…e…qbeg•…ebeg•bIfbpg•p…f…o‡g«rfp…g¦ä؆q…uiä…e…g¦gÙχx…e…g…sϦgÙϏge…xge÷ge…g¦f×j…gp†g…q…t«re…f…gІq…p…g¦gهxφ{…e†gh¥…g…xχs…g…{χ}ge…sge÷ge…s…}gi…sgi÷gi…g¦mφg…q¦gЇqrepp…p…vφp…r¦fχr…|¬reppg¥…j¦g­re…j¦fІv…i¦v³i¥…i¦uІ|¦e†y¦e…iІ{…h…i¦gهzφ}…h¦¥Ð‡j†t¦e†wh¥…i…i…wчuφx…t†p…j†o¦e†qh¥…h…q‡g¦gÙχq…qbeee…h…g…uϦgÙÏbeeebIfbpee…h…g¦iׇq¦gÙχr…rbeee…h…q…uϦgÙÏbeeebIfbpee…h…g¦mׇq¦gÙχr…rbeee…h…q…uϦgÙÏbeeebIfbpee…h…g¦qׇq¦gÙχr…rbeee…h…q…uϦgÙÏbeeebIfbpee…p‡r¦¥Ð†p…o‡s¦¥Ð†o…g¦uχq…|­repg¥…i…q±reg¥…i…qЇo¦i®re…h…q…uϦgÙυ}®iä…h…q¦gÙυh…x¦gÙÏ®j¦epre…o¦áևx¦iЇp¦gÛ¦fϦfֆ~g¥…pªi¥¦e†gqfp…|…gЦáÖ¦iЦgÛ¦fϦcdddlֆp¦e†gh¥…s…rbege…sbegebIfbpge…s…rbegu…sbegubIfbpgu…r¦…φr…s¦…φs…g¦mφg…p¦gЇprepp…~i¥…h…g…qχg¦gÙχp…h…g…uϦgÙÏbege…pbegebIfbpgep…o…x«rf…i…q…xχqІop…q¦ä؆g…o¦fÖiä…h…q¦gÙχo…h…q…uϦgÙϏge…oge÷ge…q¦fÏj…qp†q…g…{«re…i…qІp…y…q¦gهoφr…h†gh¥…g…oχq…g…rχsge…qge÷ge…q…sgi…qgi÷gi…g¦mφg…p¦gЇprepp…y…zφy…t…zφt…w¦fχw…v¬repqfp…i¦e±re¦e†p¦e…iІs…i¦fֆt…h…i¦gهuφw…i¦i®†y…i¦áևj¦q«†|¦e†rh¥…i…rцo¦e†gg¥g¥…yre…h…h…i…oϦgÙÏ®…w…h…o¦gÙχq°Öre…h…qbege…hbegebIfbpgeg¥…j¦i«re…h…qbegu…hbegubIfbpgu…j¦m«re…h…qbeg……hbeg…bIfbpg……|re…h…qbeg•…hbeg•bIfbpg•p…j‡g…i«rfp…g¦ä؆q…tiä…h…g¦gÙχz…h…g…oϦgÙϏge…zge÷ge…g¦f×j…gp†g…q…s«re…i…gІq…p…g¦gهzφx…h†gh¥…g…zχo…g…xχ{ge…oge÷ge…o…{gi…ogi÷gi…g¦mφg…q¦gЇqrepp…p…uφp…r¦fχr…v¬repp¦e†i…n¦e›ge…m¦e›geg¥…k¦e¯i¥…k¦hֆjg¥…k¦fЇi¦h®i¥¦e†oqfp…e†g…k¦áևo†qh¥……gge \u0005…ggi \u0005…ggm \u0005…ggq \u0005†…g¦uφg…q¦iЇqrepp…ji¥…e…o¦gÙφg…j†qh¥……gge \u0005†…g¦iφg…q¦fЇqreppg¥…i¦h®i¥¦e†oqfp…h†g…k¦áևo†qh¥…‘…gge \u0005…ggi \u0005…ggm \u0005…ggq \u0005†‘…g¦uφg…q¦iЇqrepp…ji¥…h…o¦gÙφgh¥…‘…gge \u0005†‘…g¦iφg…j¦fЇjrepp…k¦uІs…‘…k\u001c‡‘\b\u001b†‡…k¦v­i¥¦e†i¦e†qqgp…‡bx†¦e†j…h†gh¥…€…gbeee…bJf‡€…€bKfbIf…gbeeu…bJf‡€…€bKfbIf…gbee……bJf‡€…€bKfbIf…gbee•…bJf‡€…€bKfbIf†€…g¦¥Ð†g…j¦uχj…s­rep…i¦Õֆq¦f†iqfp…k¦uІs…“…k\u001c‡‘\b\u001b†‡¦e†qp…€b„h…€b„g…€b„e…€b„f÷÷÷†ˆg¥…k…q±re…q¦ä؅kφp…k¦hևoiä…h…q¦gÙφg…o†jh¥…gge…‡ø‡‰…‰ù…ˆ÷†ˆ…g¦iφg…j¦fЇjrep…o…q×j…qp†q…p¦h®re…k…qІj…h…q¦gÙφgh¥…ggq…‡ø‡‰…‰ù…ggm…‡ø‡‰…‰ù…ggi…‡ø‡‰…‰ù…gge…‡ø‡‰…‰ù…ˆ÷÷÷÷†ˆ…g¦uφg…j¦iЇjrepp¦e†j…ii¥…‡bx†€…h†gh¥…g…gbeee…€bJfbpee…g…gbeeu…€bJfbpeu…g…gbee……€bJfbpe……g…gbee•…€bJfbpe•…g¦¥Ð†g…j¦uχj…s­repp…ˆ…k\u0017¨eeå$÷‡‰ú†ˆ…f…kІtg¥…j…k³re…k…k…jЇf¦h°iä…f¦áևr¦iЇg¦gÛ¦fχo¦hֆq…‡bx†€¦e†p…g¦q´i¥…o¦adddlֆo…h…j¦gÙφgh¥…g…gbege…€bJfbpge…g…gbegu…€bJfbpgu…g…gbeg……€bJfbpg……g…gbeg•…€bJfbpg•…g¦¥Ð†g…p¦uφp…o¦iЇorepp…qi¥…h…j…pϦgÙφgh¥…g…gbege…€bJfbpge…g¦uφg…q¦fЇqrepp…f…r«rf…j…rÏj…jp‡jІq…h…j¦gÙφgh¥…g…gge…‡øge…g¦iφg…q¦fЇqrepp…ˆö†‹…t¦e¯i¥…l¦gنu¦e†r¦e…kІv…k¦fֆw…k¦fЦÕֆq…‹ †’…e†oh¥…e…r¦gÙχyge†Ž…e…k…rϦgÙφ|……‘\b\u001b†Šgä…iªi¥bqeeeeeeeeeeeeeeee†€bqeeeeeeeeeeeeeeee†¦eqfp…Šbx†‚¦e†g¦e†pbqeeeeeeeeeeeeeeee†bqeeeeeeeeeeeeeeee†€h¥……g…oχfbeee…‚bJf‡ƒ…g…hχjbeeebKfbIf…fbeeu…‚bJf‡„…jbeeubKfbIf…fbee……‚bJf‡……jbee…bKfbIf…fbee•…‚bJf‡†…jbee•bKfbIf†…€…ƒ…ƒbKfbIf…„…„bKfbIf…………bKfbIf…†…†bKfbIf†€…g¦¥Ð†g…p¦uχp…s­rep…qp†f…|ge†…€b„h…€b„g…€b„e…€b„f÷÷÷†‡…b„h…b„g…b„e…b„f÷÷÷†ˆg¥…f…k³re…f¦ä؆g…wiä…y…f¦gهjϏge…Šø‡Œ…h…jϏgeù…ˆ÷†ˆ…Œ…Œù…‡÷†‡…f¦f×j…fp†f…g…v«re…f¦gنg…k…fІjh¥…g…oχfgi…Šø‡Œ…g…hχpgiù…fge…Šø‡…pgeù…ˆ÷÷†ˆ…Œ…Œù……ù…‡÷÷†‡…g¦mφg…j¦gЇjrepp…ˆ…‰ú …‡…‰ú \u0004…’\u0007\b\u001b‡‡…mgeÃi¥…n…r›ge…m…‡gep……Ž \u0006… \u0005†…o…uφo…l…rχr…t­reppg¥…l¦f±re…nge‡f…l…lчgχj…t…j…t­€†t¦e†p…f…gЇf¦e…f¦e¯€†rg¥…k¦e±i¥…“†qfp…k¦hֆjg¥…k¦fЦh®i¥…“†qfp…e…r¦gÙφg…“†…k¦áևp†qh¥……gge \u0005…ggi \u0005…ggm \u0005…ggq \u0005†…g¦uφg…q¦iЇqrepp…jªre…e…p…rϦgÙφgh¥……gge \u0005†…g¦iφg…j¦fЇjrepp…r…t³re¦e…kІp…k¦fֆu…e…r¦gÙφo…k¦fЦÕֆl…‹ †’h¥…e…r¦gÙχvge†…e…k…rϦgÙφw……‘\b\u001b†Šgä…iªi¥bqeeeeeeeeeeeeeeee†€bqeeeeeeeeeeeeeeee†¦eqfp…Šbx†‚¦e†q…o†g…h†jbqeeeeeeeeeeeeeeee†bqeeeeeeeeeeeeeeee†€h¥……gbeee…‚bJf‡ƒ…jbeeebKfbIf…gbeeu…‚bJf‡„…jbeeubKfbIf…gbee……‚bJf‡……jbee…bKfbIf…gbee•…‚bJf‡†…jbee•bKfbIf†…€…ƒ…ƒbKfbIf…„…„bKfbIf…………bKfbIf…†…†bKfbIf†€…g¦¥Ð†g…j¦¥Ð†j…q¦uχq…s­rep…lp†f…wge†Ž…€b„h…€b„g…€b„e…€b„f÷÷÷†‡…b„h…b„g…b„e…b„f÷÷÷†ˆg¥…f…k³re…f¦ä؆g…uiä…v…f¦gهjϏge…Šø‡‹…h…jϏgeù…ˆ÷†ˆ…‹…‹ù…‡÷†‡…f¦f×j…fp†f…g…p«re…f¦gنg…k…fІjh¥…g…oχfgi…Šø‡‹…g…hχqgiù…fge…Šø‡Œ…qgeù…ˆ÷÷†ˆ…‹…‹ù…Œ…Œù…‡÷÷†‡…g¦mφg…j¦gЇjrepp…ˆ…‰ú …‡…‰ú \u0004…’\u0007\b\u001b‡‡…mgeÃi¥…n…r›ge…m…‡gep…… \u0006…Ž \u0005†…o¦iφo…r¦fχr…t¬reppppetÙÆ×ÌÊÙÄËÊÆÙÚ×ÊØflØÎÒɖ—`;\nconst scalarWasm = String.raw`dynEncode010e15d7b662\u000eo{\u000f\u000e\u000e\u000e\u000f+\u0011n\u0011\u000en\u0013‹‹\u000f‹n\u0018\u000e\u0010\u001d\u000f\u0011s|„\u0014{s{}€‡\u0010\u000e\u0010\u0011\u0012\u0011\u000e\u000f\u0010\u0014\u0016\u000f\u000eOŽ–\u0012\u0019\u0015)\u0010\u0017q}€€szo‚s\u000e\u0010\u0019mmvso~mpos\u0011\u000e\u0018  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.\u00128\u0010\u000eɯ/\".\u0012.\u001ax8\u0010\u000eÉ/#.\u00168\u0010\u000e/\u001e.\u0012.\u0011. .!±Ä.\u001c.\u0014\u001e\u000f0\u001f.\u001el\u0012.\u0017.\u0013D\u0010\u000e.\u0016.\u001fF\u0010\u000e.\u0013\u0013.\u0018\u0019/\u0018.\".#®/ .\u0012.\u0019x/\u0012.\u0013.\u0015x0\u0013.\u0010V\u001b\u000e\u0019\u0019\u0010N.\u0015O\u000fZ\u001b\u000e.\u0018.\u0015.\u0015z0\u0012x0\u000f.\u0010.\u000f.\u0010V)/\u0015O\u000e/\u000f.\u0018.\u0012y0\u0010O\u000e.\u0010O\u000eX)/\u0010\u0010N.\u0014O\u000eZ\u0012N.$/ \u001a\u000f\u0019.\u0014O\u0011/\u0013\u0010N.\u0014O\u000fyO\u0011W\u0012N.$/ \u001a\u000f\u0019.\u0010O\u0010‚.\u000ex/\u0012.$/ .\u0014OŠ0\u000f/\u001a\u0011N. .\u00128\u0010\u000eÉ®.\u00128\u0010\u0012É®.\u00128\u0010\u0016É®.\u00128\u0010\u001aÉ®/ .\u0012O\u001ex/\u0012.\u001aO\u0012y0\u001a\u001b\u000e\u0019\u0019.\u0013S\u001b\u000e.\u000f.\u0010xO\u0010‚.\u000ex/\u0012\u0011N. .\u00128\u0010\u000eÉ®/ .\u0012O\u0012x/\u0012.\u0013O\u000fy0\u0013\u001b\u000e\u0019\u0019.\u0010.\u0015\\\u001b\u000e.\u0010O\u0010‚.\u000ex/\u0012.\u0010.\u0014xO\u0010‚.\u000ex/\u0013\u0011N. .\u00128\u0010\u000eɯ/\".\u00138\u0010\u000eÉ/#.\u00168\u0010\u000e/\u001e.\u0012.\u0011. .!±Ä.\u001c.\u0014\u001e\u000f0\u001f.\u001el\u0012N.\u0017.\u0010D\u0010\u000e.\u0016.\u001fF\u0010\u000e\u0019.\".#®/ .\u0012O\u0012x/\u0012.\u0013O\u0012x/\u0013.\u0010O\u000fx0\u0010.\u0015U\u001b\u000e\u0019\u0019\u0019\u0019`;\n\nexport default class SynAudio {\n  constructor(options = {}) {\n    this._correlationSampleSize =\n      options.correlationSampleSize > 0 ? options.correlationSampleSize : 11025;\n    this._initialGranularity =\n      options.initialGranularity > 0 ? options.initialGranularity : 16;\n    this._correlationThreshold =\n      options.correlationThreshold >= 0 ? options.correlationThreshold : 0.5;\n\n    this._module = wasmModule.get(SynAudio);\n\n    if (!this._module) {\n      this._module = simd().then((simdSupported) =>\n        simdSupported\n          ? WebAssembly.compile(decode(simdWasm))\n          : WebAssembly.compile(decode(scalarWasm)),\n      );\n      wasmModule.set(this._module);\n    }\n\n    this.SynAudioWorker = function SynAudioWorker(\n      module,\n      correlationSampleSize,\n      initialGranularity,\n    ) {\n      this._sourceCache = new Map();\n\n      // correlation sample size must not exceed the size of each audio clip\n      this._getCorrelationSampleSize = (a, b) =>\n        Math.min(\n          a.samplesDecoded,\n          b.samplesDecoded,\n          this._correlationSampleSize,\n        );\n\n      // initial granularity must not exceed the size of each audio clip\n      this._getInitialGranularity = (a, b) =>\n        Math.min(a.samplesDecoded, b.samplesDecoded, this._initialGranularity);\n\n      this._setAudioDataOnHeap = (input, output, heapPos) => {\n        const bytesPerElement = output.BYTES_PER_ELEMENT;\n\n        let floatPos = heapPos / bytesPerElement;\n\n        for (let i = 0; i < input.length; i++) {\n          heapPos += input[i].length * bytesPerElement;\n          output.set(input[i], floatPos);\n          floatPos += input[i].length;\n        }\n\n        return heapPos;\n      };\n\n      this._executeAsWorker = (functionName, params) => {\n        let source = this._sourceCache.get(functionName);\n\n        if (!source) {\n          let type = \"text/javascript\",\n            isNode,\n            webworkerSourceCode =\n              \"'use strict';\" +\n              `(${((\n                SynAudioWorker,\n                functionName,\n                correlationSampleSize,\n                initialGranularity,\n              ) => {\n                self.onmessage = (msg) => {\n                  const worker = new SynAudioWorker(\n                    Promise.resolve(msg.data.module),\n                    correlationSampleSize,\n                    initialGranularity,\n                  );\n\n                  worker._workerMethods\n                    .get(functionName)\n                    .apply(null, msg.data.params)\n                    .then((results) => {\n                      self.postMessage(results);\n                    });\n                };\n              }).toString()})(${SynAudioWorker.toString()}, \"${functionName}\", ${\n                this._correlationSampleSize\n              }, ${this._initialGranularity})`;\n\n          try {\n            isNode = typeof process.versions.node !== \"undefined\";\n          } catch {}\n\n          source = isNode\n            ? `data:${type};base64,${Buffer.from(webworkerSourceCode).toString(\n                \"base64\",\n              )}`\n            : URL.createObjectURL(new Blob([webworkerSourceCode], { type }));\n\n          this._sourceCache.set(functionName, source);\n        }\n\n        const worker = new (globalThis.Worker || Worker)(source, {\n          name: \"SynAudio\",\n        });\n\n        const result = new Promise((resolve) => {\n          worker.onmessage = (message) => {\n            worker.terminate();\n            resolve(message.data);\n          };\n        });\n\n        this._module.then((module) => {\n          worker.postMessage({\n            module,\n            params,\n          });\n        });\n\n        return result;\n      };\n\n      this._sync = (a, b) => {\n        const pageSize = 64 * 1024;\n        const floatByteLength = Float32Array.BYTES_PER_ELEMENT;\n\n        const correlationSampleSize = this._getCorrelationSampleSize(a, b);\n        const initialGranularity = this._getInitialGranularity(a, b);\n\n        const memory = new WebAssembly.Memory({\n          initial:\n            ((a.samplesDecoded * a.channelData.length +\n              b.samplesDecoded * b.channelData.length) *\n              floatByteLength) /\n              pageSize +\n            4,\n        });\n\n        return this._module\n          .then((module) =>\n            WebAssembly.instantiate(module, {\n              env: { memory },\n            }),\n          )\n          .then(({ exports }) => {\n            const instanceExports = new Map(Object.entries(exports));\n\n            const correlate = instanceExports.get(\"correlate\");\n            const dataArray = new Float32Array(memory.buffer);\n            const heapView = new DataView(memory.buffer);\n\n            const aPtr = instanceExports.get(\"__heap_base\").value;\n            const bPtr = this._setAudioDataOnHeap(\n              a.channelData,\n              dataArray,\n              aPtr,\n            );\n            const bestCorrelationPtr = this._setAudioDataOnHeap(\n              b.channelData,\n              dataArray,\n              bPtr,\n            );\n            const bestSampleOffsetPtr = bestCorrelationPtr + floatByteLength;\n\n            correlate(\n              aPtr,\n              a.samplesDecoded,\n              a.channelData.length,\n              bPtr,\n              b.samplesDecoded,\n              b.channelData.length,\n              correlationSampleSize,\n              initialGranularity,\n              bestCorrelationPtr,\n              bestSampleOffsetPtr,\n            );\n\n            const bestCorrelation = heapView.getFloat32(\n              bestCorrelationPtr,\n              true,\n            );\n            const bestSampleOffset = heapView.getInt32(\n              bestSampleOffsetPtr,\n              true,\n            );\n\n            return {\n              correlation: bestCorrelation,\n              sampleOffset: bestSampleOffset,\n            };\n          });\n      };\n\n      this._syncWorkerConcurrent = (a, b, threads) => {\n        const promises = [];\n        const lengths = [0];\n\n        // |-----------|       |-----------|     \"end\"\n        // \"start\"   |-|---------|       |-----------|\n        //           | |\n        //           | |correlationSampleSize\n\n        // split a buffer into equal chunks for threads\n        // overlap at the start of the buffer by correlation sample size\n        // overlap at the end of the buffer by correlation sample size\n\n        // initial granularity  low -> high, more -> less threads\n        // correlation sample   low -> high, less -> more threads\n        // file size            low -> high, less -> more threads\n\n        const correlationSampleSize = this._getCorrelationSampleSize(a, b);\n\n        // rough estimate for a good max thread count for performance\n        const maxThreads =\n          (Math.log(a.samplesDecoded * correlationSampleSize) /\n            Math.log(this._initialGranularity + 1)) *\n          Math.log(correlationSampleSize / 10000 + 1);\n\n        threads = Math.max(\n          Math.round(\n            Math.min(\n              threads,\n              maxThreads,\n              a.samplesDecoded / correlationSampleSize / 4,\n            ),\n          ),\n          1,\n        );\n\n        const aLength = Math.ceil(a.samplesDecoded / threads);\n\n        let offset = 0;\n        for (let t = 0; t < threads; t++) {\n          const aSplit = {\n            channelData: [],\n          };\n\n          for (let i = 0; i < a.channelData.length; i++) {\n            const cutChannel = a.channelData[i].subarray(\n              offset,\n              offset + aLength + correlationSampleSize,\n            );\n            aSplit.channelData.push(cutChannel);\n            aSplit.samplesDecoded = cutChannel.length;\n          }\n\n          offset += aLength - correlationSampleSize;\n          lengths.push(offset);\n\n          promises.push(this._syncWorker(aSplit, b));\n        }\n\n        return Promise.all(promises).then((results) => {\n          // find the result with the highest correlation and calculate the offset relative to the input data\n          let bestResultIdx = 0;\n          let bestCorrelation = -1;\n          for (let i = 0; i < results.length; i++)\n            if (results[i].correlation > bestCorrelation) {\n              bestResultIdx = i;\n              bestCorrelation = results[i].correlation;\n            }\n\n          return {\n            correlation: results[bestResultIdx].correlation,\n            sampleOffset:\n              results[bestResultIdx].sampleOffset + lengths[bestResultIdx],\n          };\n        });\n      };\n\n      this._syncWorker = (a, b) => {\n        return this._executeAsWorker(\"_sync\", [a, b]);\n      };\n\n      this._syncWorkerConcurrentMain = (a, b, threads) => {\n        // can't serialize the webworker polyfill in nodejs\n        return globalThis.Worker\n          ? this._executeAsWorker(\"_syncWorkerConcurrent\", [a, b, threads])\n          : this._syncWorkerConcurrent(a, b, threads);\n      };\n\n      // constructor\n\n      // needed to serialize minified code when methods are refererenced as a string\n      // prettier-ignore\n      this._workerMethods = new Map([\n        [\"_sync\", this._sync],\n        [\"_syncWorker\", this._syncWorker],\n        [\"_syncWorkerConcurrent\", this._syncWorkerConcurrent],\n      ]);\n\n      this._module = module;\n      this._correlationSampleSize = correlationSampleSize;\n      this._initialGranularity = initialGranularity;\n    };\n\n    this._instance = new this.SynAudioWorker(\n      this._module,\n      this._correlationSampleSize,\n      this._initialGranularity,\n    );\n  }\n\n  async syncWorkerConcurrent(a, b, threads) {\n    return this._instance._syncWorkerConcurrentMain(\n      a,\n      b,\n      threads >= 1 ? threads : 1,\n    );\n  }\n\n  async syncWorker(a, b) {\n    return this._instance._syncWorker(a, b);\n  }\n\n  async sync(a, b) {\n    return this._instance._sync(a, b);\n  }\n\n  async syncMultiple(clips, threads) {\n    threads = threads >= 1 ? threads : 8;\n\n    const workers = [];\n    const graph = [];\n\n    let notify = () => {},\n      wait = Promise.resolve(),\n      runningThreads = 0;\n\n    const resetNotify = () => {\n      wait = new Promise((resolve) => {\n        notify = resolve;\n      });\n    };\n\n    for (let i = 0; i < clips.length; i++) graph.push({ vertex: {} });\n\n    for (let v = 0; v < clips.length; v++) {\n      const vertexClip = clips[v];\n      const vertex = graph[v].vertex;\n\n      vertex.name = vertexClip.name;\n      vertex.samplesDecoded = vertexClip.data.samplesDecoded;\n      vertex.edges = new Set();\n\n      for (let e = 0; e < clips.length; e++) {\n        if (v === e) continue;\n\n        const edgeClip = clips[e];\n        const edge = graph[e];\n\n        runningThreads++;\n        workers.push(\n          this.syncWorker(vertexClip.data, edgeClip.data).then(\n            (correlationResult) => {\n              if (correlationResult.correlation > this._correlationThreshold) {\n                vertex.edges.add({\n                  parent: vertex,\n                  vertex: edge.vertex,\n                  samplesDecoded: edgeClip.data.samplesDecoded,\n                  ...correlationResult,\n                });\n              }\n              runningThreads--;\n              notify();\n            },\n          ),\n        );\n\n        if (runningThreads >= threads) {\n          resetNotify();\n          await wait;\n        }\n      }\n    }\n\n    await Promise.all(workers);\n\n    // prettier-ignore\n    const weighResults = (a, b) => {\n      if (a.parent && b.parent && a.parent.samplesDecoded !== b.parent.samplesDecoded) return a.parent.samplesDecoded > b.parent.samplesDecoded;\n      if (a.correlation !== b.correlation) return a.correlation > b.correlation;\n      if (a.sampleOffset !== b.sampleOffset) return a.sampleOffset > b.sampleOffset;\n      return a.vertex && b.vertex && a.vertex.name.localeCompare(b.vertex.name) < 0;\n    };\n\n    // detect cycles and weigh for which edge to remove\n    const path = new Map();\n    const cycles = new Set();\n\n    const detectCycle = (vertex) => {\n      for (const edge of vertex.edges.values()) {\n        if (path.has(vertex)) return path.get(vertex);\n\n        path.set(vertex, edge);\n\n        const cycleStartEdge = detectCycle(edge.vertex);\n        const cycleEndEdge = edge;\n\n        if (cycleStartEdge) {\n          let keep, remove;\n          if (weighResults(cycleStartEdge, cycleEndEdge)) {\n            keep = cycleStartEdge;\n            remove = cycleEndEdge;\n          } else {\n            keep = cycleEndEdge;\n            remove = cycleStartEdge;\n          }\n\n          if (!remove.cycleWith) {\n            remove.cycleWith = new Set();\n            cycles.add(remove);\n          }\n\n          remove.cycleWith.add(keep);\n\n          if (keep.cycleWith) {\n            keep.cycleWith.delete(remove);\n          }\n        }\n\n        path.delete(vertex);\n      }\n    };\n\n    for (const { vertex } of graph) detectCycle(vertex);\n\n    // delete any cycles\n    for (const edge of cycles)\n      if (edge.cycleWith.size) edge.parent.edges.delete(edge);\n\n    // find the root elements\n    const roots = new Set();\n    for (const v of graph) roots.add(v.vertex);\n    for (const v of graph)\n      for (const edge of v.vertex.edges) roots.delete(edge.vertex);\n\n    // build a unique sequence of matches for each root\n    const traverseRoot = (path, root, edges, sampleOffsetFromRoot = 0) => {\n      for (const edge of edges) {\n        if (\n          !(path.has(edge.vertex) && weighResults(path.get(edge.vertex), edge))\n        )\n          path.set(edge.vertex, {\n            name: edge.vertex.name,\n            correlation: edge.correlation,\n            sampleOffset: sampleOffsetFromRoot + edge.sampleOffset,\n          });\n\n        traverseRoot(\n          path,\n          root,\n          edge.vertex.edges,\n          sampleOffsetFromRoot + edge.sampleOffset,\n        );\n      }\n    };\n\n    const results = [];\n\n    for (const root of roots) {\n      const path = new Map();\n      path.set(root, {\n        name: root.name,\n        sampleOffset: 0,\n      });\n      traverseRoot(path, root, root.edges);\n\n      results.push(\n        [...path.values()].sort(\n          (a, b) =>\n            a.sampleOffset - b.sampleOffset ||\n            (a.correlation || 0) - (b.correlation || 0) ||\n            b.name.localeCompare(a.name),\n        ),\n      );\n    }\n\n    return results;\n  }\n}\n","import SynAudio from \"./src/SynAudio.js\";\n\nexport default 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