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pa{constructor(){super(...arguments),this.form=`NFD`}},ga=class extends pa{constructor(){super(...arguments),this.form=`NFKC`}},_a=class extends pa{constructor(){super(...arguments),this.form=`NFKD`}},va=class extends ca{normalize(e){return this.config.strip_left&&this.config.strip_right?e=e.trim():(this.config.strip_left&&(e=e.trimStart()),this.config.strip_right&&(e=e.trimEnd())),e}},ya=class extends ca{normalize(e){return ia(e)}},ba=class extends ca{normalize(e){return e.toLowerCase()}},xa=class extends ca{normalize(e){return e=this.config.prepend+e,e}};function Sa(e){if(e===null)return null;switch(e.type){case`BertNormalizer`:return new la(e);case`Precompiled`:return new ua(e);case`Sequence`:return new da(e);case`Replace`:return new fa(e);case`NFC`:return new ma(e);case`NFD`:return new ha(e);case`NFKC`:return new ga(e);case`NFKD`:return new _a(e);case`Strip`:return new va(e);case`StripAccents`:return new ya(e);case`Lowercase`:return new ba(e);case`Prepend`:return new xa(e);default:throw Error(`Unknown Normalizer type: ${e.type}`)}}var Ca=Sa,wa=class extends sa{pre_tokenize(e,t){return(Array.isArray(e)?e.map(e=>this.pre_tokenize_text(e,t)):this.pre_tokenize_text(e,t)).flat()}_call(e,t){return this.pre_tokenize(e,t)}},Ta=class extends wa{constructor(e){super(),this.config=e,this.add_prefix_space=this.config.add_prefix_space??!1,this.trim_offsets=this.config.trim_offsets??!1,this.use_regex=this.config.use_regex??!0,this.pattern=/'s|'t|'re|'ve|'m|'ll|'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+/gu,this.byte_encoder=Hi,this.text_encoder=new TextEncoder}pre_tokenize_text(e,t){return this.add_prefix_space&&!e.startsWith(` `)&&(e=` `+e),(this.use_regex?e.match(this.pattern)||[]:[e]).map(e=>Array.from(this.text_encoder.encode(e),e=>this.byte_encoder[e]).join(``))}},Ea=class extends wa{pre_tokenize_text(e,t){return e.match(/\w+|[^\w\s]+/g)||[]}},Da=class extends wa{constructor(e){super(),this.replacement=e.replacement??`▁`,this.str_rep=e.str_rep||this.replacement,this.prepend_scheme=e.prepend_scheme??`always`}pre_tokenize_text(e,t){let{section_index:n=void 0}=t??{},r=e.replaceAll(` `,this.str_rep);return!r.startsWith(this.replacement)&&(this.prepend_scheme===`always`||this.prepend_scheme===`first`&&n===0)&&(r=this.str_rep+r),[r]}},Oa=class extends wa{constructor(e){super(),this.config=e,this.pattern=Ji(this.config.pattern??{},this.config.invert??!0)}pre_tokenize_text(e){return this.pattern===null?[]:this.config.invert?e.match(this.pattern)||[]:this.config.behavior?.toLowerCase()===`removed`?e.split(this.pattern).filter(e=>e):ra(e,this.pattern)}},ka=class extends wa{constructor(e){super(),this.config=e,this.pattern=RegExp(`[^${Ki}]+|[${Ki}]+`,`gu`)}pre_tokenize_text(e){return e.match(this.pattern)||[]}},Aa=class extends wa{constructor(e){super(),this.config=e;let t=`[^\\d]+|\\d${this.config.individual_digits?``:`+`}`;this.pattern=new 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r=!1,i=0,a=[];for(;i0&&(r=this.config.continuing_subword_prefix+r),this.tokens_to_ids.has(r)){n=r;break}--t}if(n===null){r=!0;break}a.push(n),i=t}r?t.push(this.unk_token):t.push(...a)}return t}},Ba=class e{constructor(e,t){this.is_leaf=e,this.children=t}static default(){return new e(!1,new Map)}},Va=class{constructor(){this.root=Ba.default()}extend(e){for(let t of e)this.push(t)}push(e){let t=this.root;for(let n of e){let e=t.children.get(n);e===void 0&&(e=Ba.default(),t.children.set(n,e)),t=e}t.is_leaf=!0}*common_prefix_search(e){let t=this.root;if(t===void 0)return;let n=``;for(let r of e){if(n+=r,t=t.children.get(r),t===void 0)return;t.is_leaf&&(yield n)}}},Ha=class e{constructor(e,t,n,r,i){this.token_id=e,this.node_id=t,this.pos=n,this.length=r,this.score=i,this.prev=null,this.backtrace_score=0}clone(){let t=new e(this.token_id,this.node_id,this.pos,this.length,this.score);return 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n=[],r=this.begin_nodes[e][0].prev;if(r===null)return[];let i=r.clone();for(;i.prev!==null;)n.push(i.clone()),i=i.clone().prev.clone();return n.reverse(),n}piece(e){return this.chars.slice(e.pos,e.pos+e.length).join(``)}tokens(){return this.viterbi().map(e=>this.piece(e))}token_ids(){return this.viterbi().map(e=>e.token_id)}};function Wa(e){if(e.length===0)throw Error(`Array must not be empty`);let t=e[0],n=0;for(let r=1;r[e,t])),this.bos_token=` `,this.bos_token_id=this.tokens_to_ids.get(this.bos_token),this.eos_token=t,this.eos_token_id=this.tokens_to_ids.get(this.eos_token),this.unk_token=this.vocab[this.unk_token_id],this.min_score=Wa(this.scores)[0],this.unk_score=this.min_score-10,this.scores[this.unk_token_id]=this.unk_score,this.trie=new Va,this.trie.extend(this.vocab),this.fuse_unk=!0}populate_nodes(e){let t=e.chars,n=0;for(;ne>t,t=1/0){this._heap=[],this._comparator=e,this._max_size=t}get size(){return this._heap.length}is_empty(){return this.size===0}peek(){return 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t}},Ya=class extends Ra{constructor(e,t){super(e);let n=e.vocab;this.tokens_to_ids=na(t.target_lang?n[t.target_lang]:n),this.bos_token=t.bos_token,this.bos_token_id=this.tokens_to_ids.get(this.bos_token),this.eos_token=t.eos_token,this.eos_token_id=this.tokens_to_ids.get(this.eos_token),this.pad_token=t.pad_token,this.pad_token_id=this.tokens_to_ids.get(this.pad_token),this.unk_token=t.unk_token,this.unk_token_id=this.tokens_to_ids.get(this.unk_token),this.vocab=Array(this.tokens_to_ids.size);for(let[e,t]of this.tokens_to_ids)this.vocab[t]=e}encode(e){return e}};function Xa(e,t){switch(e.type){case`WordPiece`:return new za(e);case`Unigram`:return new Ga(e,t.eos_token);case`BPE`:return new Ja(e);default:if(e.vocab)return Array.isArray(e.vocab)?new Ga(e,t.eos_token):Object.hasOwn(e,`continuing_subword_prefix`)&&Object.hasOwn(e,`unk_token`)?Object.hasOwn(e,`merges`)?new Ja(e):new za(e):new Ya(e,{target_lang:t.target_lang,bos_token:t.bos_token,eos_token:t.eos_token,pad_token:t.pad_token,unk_token:t.unk_token});throw Error(`Unknown TokenizerModel type: ${e?.type}`)}}var Za=Xa,Qa=class extends sa{constructor(e){super(),this.config=e}_call(e,...t){return this.post_process(e,...t)}},$a=class extends Qa{post_process(e,t=null,n=!0){let r=t===null?this.config.single:this.config.pair,i=[],a=[];for(let o of r)`SpecialToken`in o?n&&(i.push(o.SpecialToken.id),a.push(o.SpecialToken.type_id)):`Sequence`in o&&(o.Sequence.id===`A`?(i=ta(i,e),a=ta(a,Array(e.length).fill(o.Sequence.type_id))):o.Sequence.id===`B`&&(i=ta(i,t),a=ta(a,Array(t.length).fill(o.Sequence.type_id))));return{tokens:i,token_type_ids:a}}},eo=class extends Qa{post_process(e,t=null){return{tokens:e,tokens_pair:t}}},to=class extends Qa{constructor(e){super(e),this.sep=e.sep,this.cls=e.cls}post_process(e,t=null,n=!0){n&&(e=ta([this.cls[0]],e,[this.sep[0]]));let r=Array(e.length).fill(0);if(t){let i=[],a=n?[this.sep[0]]:[];e=ta(e,i,t,a),r=ta(r,Array(t.length+i.length+a.length).fill(1))}return{tokens:e,token_type_ids:r}}},no=class extends Qa{constructor(e){super(e),this.sep=e.sep,this.cls=e.cls}post_process(e,t,n=!0){n&&(e=ta([this.cls[0]],e,[this.sep[0]]));let r=Array(e.length).fill(0);if(t){let i=n?[this.sep[0]]:[],a=n?[this.sep[0]]:[];e=ta(e,i,t,a),r=ta(r,Array(t.length+i.length+a.length).fill(1))}return{tokens:e,token_type_ids:r}}},ro=class extends Qa{constructor(e){super(e),this.processors=(e.processors??[]).map(e=>ao(e))}post_process(e,t=null,n=!0){let r={tokens:e,tokens_pair:t};for(let e of this.processors)r=e.post_process(r.tokens,r.tokens_pair,n);return r}};function io(e){if(e===null)return null;switch(e.type){case`TemplateProcessing`:return new $a(e);case`ByteLevel`:return new eo(e);case`BertProcessing`:return new to(e);case`RobertaProcessing`:return new no(e);case`Sequence`:return new ro(e);default:throw Error(`Unknown PostProcessor type: ${e.type}`)}}var ao=io,oo=class extends sa{constructor(e){super(),this.config=e,this.added_tokens=[],this.end_of_word_suffix=null,this.trim_offsets=`trim_offsets`in e?e.trim_offsets:!1}_call(e){return this.decode(e)}decode(e){return this.decode_chain(e).join(``)}},so=class extends oo{constructor(e){super(e),this.byte_decoder=Ui,this.text_decoder=new TextDecoder(`utf-8`,{fatal:!1,ignoreBOM:!0}),this.end_of_word_suffix=null}convert_tokens_to_string(e){let t=e.join(``),n=new Uint8Array([...t].map(e=>this.byte_decoder[e]));return this.text_decoder.decode(n)}decode_chain(e){let t=[],n=[];for(let r of e)this.added_tokens.find(e=>e.content===r)===void 0?n.push(r):(n.length>0&&(t.push(this.convert_tokens_to_string(n)),n=[]),t.push(r));return n.length>0&&t.push(this.convert_tokens_to_string(n)),t}},co=class extends oo{constructor(e){super(e),this.cleanup=e.cleanup}decode_chain(e){return e.map((e,t)=>{if(t!==0){let t=this.config.prefix;e=t&&e.startsWith(t)?e.replace(t,``):` `+e}return this.cleanup&&(e=qi(e)),e})}},lo=class extends oo{constructor(e){super(e),this.replacement=e.replacement??`▁`}decode_chain(e){let t=[];for(let n=0;nt.replaceAll(this.suffix,n===e.length-1?``:` `))}},fo=class extends oo{constructor(e){super(e),this.pad_token=e.pad_token??``,this.word_delimiter_token=e.word_delimiter_token??``,this.cleanup=e.cleanup}convert_tokens_to_string(e){if(e.length===0)return``;let t=[e[0]];for(let n=1;ne!==this.pad_token).join(``);return this.cleanup&&(n=qi(n).replaceAll(this.word_delimiter_token,` `).trim()),n}decode_chain(e){return[this.convert_tokens_to_string(e)]}},po=class extends oo{constructor(e){super(e),this.decoders=(e.decoders??[]).map(e=>yo(e))}decode_chain(e){return this.decoders.reduce((e,t)=>t.decode_chain(e),e)}},mo=class extends oo{decode_chain(e){let t=Ji(this.config.pattern),n=this.config.content??``;return t===null?e:e.map(e=>e.replaceAll(t,n))}},ho=class extends oo{decode_chain(e){return[e.join(``)]}},go=class extends oo{constructor(e){super(e),this.content=e.content??``,this.start=e.start??0,this.stop=e.stop??0}decode_chain(e){return e.map(e=>{let t=0;for(let n=0;n`)){let t=parseInt(r.slice(3,5),16);isNaN(t)||(e=t)}if(e!==null)n.push(e);else{if(n.length>0){let e=this.text_decoder.decode(Uint8Array.from(n));t.push(e),n=[]}t.push(r)}}if(n.length>0){let e=this.text_decoder.decode(Uint8Array.from(n));t.push(e),n=[]}return t}};function vo(e){if(e===null)return null;switch(e.type){case`ByteLevel`:return new so(e);case`WordPiece`:return new co(e);case`Metaspace`:return new lo(e);case`BPEDecoder`:return new uo(e);case`CTC`:return new fo(e);case`Sequence`:return new po(e);case`Replace`:return new mo(e);case`Fuse`:return new ho(e);case`Strip`:return new go(e);case`ByteFallback`:return new _o(e);default:throw Error(`Unknown Decoder type: ${e.type}`)}}var yo=vo,bo=class{constructor(e,t){let n=aa(e,`Tokenizer`,[`model`,`decoder`,`post_processor`,`pre_tokenizer`,`normalizer`]);if(n)throw Error(n);let 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i.push(t.content)}(this.config.additional_special_tokens??[]).forEach(e=>{this.special_tokens.includes(e)||this.special_tokens.push(e)}),this.decoder&&(this.decoder.added_tokens=this.added_tokens,this.decoder.end_of_word_suffix=this.model.end_of_word_suffix),this.splitter_unnormalized=new Bi(i),this.splitter_normalized=new Bi(a),this.remove_space=this.config.remove_space,this.clean_up_tokenization_spaces=this.config.clean_up_tokenization_spaces??!0,this.do_lowercase_and_remove_accent=this.config.do_lowercase_and_remove_accent??!1}encode(e,{text_pair:t=null,add_special_tokens:n=!0,return_token_type_ids:r=null}={}){let{tokens:i,token_type_ids:a}=this.tokenize_helper(e,{text_pair:t,add_special_tokens:n}),o=i.map(e=>this.added_tokens_map.get(e)?.id??this.model.tokens_to_ids.get(e)??this.model.unk_token_id),s={ids:o,tokens:i,attention_mask:Array(o.length).fill(1)};return r&&a&&(s.token_type_ids=a),s}decode(e,t={}){if(!Array.isArray(e)||e.length===0||!Qi(e[0]))throw Error(`token_ids must be a non-empty array of integers.`);let n=e.map(e=>this.model.vocab[Number(e)]??this.model.unk_token);t.skip_special_tokens&&(n=n.filter(e=>!this.special_tokens.includes(e)));let r=this.decoder?this.decoder(n):n.join(` `);return this.decoder&&this.decoder.end_of_word_suffix&&(r=r.replaceAll(this.decoder.end_of_word_suffix,` `),t.skip_special_tokens&&(r=r.trim())),(t.clean_up_tokenization_spaces??this.clean_up_tokenization_spaces)&&(r=qi(r)),r}tokenize(e,{text_pair:t=null,add_special_tokens:n=!1}={}){return this.tokenize_helper(e,{text_pair:t,add_special_tokens:n}).tokens}encode_text(e){if(e===null)return null;let t=this.splitter_unnormalized.split(e);return t.forEach((e,n)=>{let r=this.added_tokens_map.get(e);r&&(r.lstrip&&n>0&&(t[n-1]=t[n-1].trimEnd()),r.rstrip&&n{if(e.length===0)return[];if(this.added_tokens_map.has(e))return[e];if(this.remove_space===!0&&(e=e.trim().split(/\s+/).join(` 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n=0;n=`,k.ComparisonBinaryOperator],[`==`,k.ComparisonBinaryOperator],[`!=`,k.ComparisonBinaryOperator],[`<`,k.ComparisonBinaryOperator],[`>`,k.ComparisonBinaryOperator],[`+`,k.AdditiveBinaryOperator],[`-`,k.AdditiveBinaryOperator],[`~`,k.AdditiveBinaryOperator],[`*`,k.MultiplicativeBinaryOperator],[`/`,k.MultiplicativeBinaryOperator],[`%`,k.MultiplicativeBinaryOperator],[`=`,k.Equals]],Eo=new Map([[`n`,` +`],[`t`,` `],[`r`,`\r`],[`b`,`\b`],[`f`,`\f`],[`v`,`\v`],[`'`,`'`],[`"`,`"`],[`\\`,`\\`]]);function Do(e,t={}){return e.endsWith(` +`)&&(e=e.slice(0,-1)),t.lstrip_blocks&&(e=e.replace(/^[ \t]*({[#%-])/gm,`$1`)),t.trim_blocks&&(e=e.replace(/([#%-]})\n/g,`$1`)),e.replace(/{%\s*(end)?generation\s*%}/gs,``)}function Oo(e,t={}){let n=[],r=Do(e,t),i=0,a=0,o=e=>{let t=``;for(;e(r[i]);){if(r[i]===`\\`){if(++i,i>=r.length)throw SyntaxError(`Unexpected end of input`);let e=r[i++],n=Eo.get(e);if(n===void 0)throw SyntaxError(`Unexpected escaped character: 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t=n.value,i=r.value;switch(e.operator.value){case`+`:case`-`:case`*`:{let a=e.operator.value===`+`?t+i:e.operator.value===`-`?t-i:t*i;return n instanceof vs||r instanceof vs?new vs(a):new _s(a)}case`/`:return new vs(t/i);case`%`:{let e=t%i;return n instanceof vs||r instanceof vs?new vs(e):new _s(e)}case`<`:return new bs(t`:return new bs(t>i);case`>=`:return new bs(t>=i);case`<=`:return new bs(t<=i)}}else if(n instanceof Es&&r instanceof Es)switch(e.operator.value){case`+`:return new Es(n.value.concat(r.value))}else if(r instanceof Es){let t=r.value.find(e=>e.value===n.value)!==void 0;switch(e.operator.value){case`in`:return new bs(t);case`not in`:return new bs(!t)}}if(n instanceof ys||r instanceof ys)switch(e.operator.value){case`+`:return new ys(n.value.toString()+r.value.toString())}if(n instanceof ys&&r instanceof ys)switch(e.operator.value){case`in`:return new bs(r.value.includes(n.value));case`not in`:return new bs(!r.value.includes(n.value))}if(n instanceof ys&&r instanceof 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new Es(e.value.slice().reverse());case`sort`:return new Es(e.value.slice().sort((e,t)=>Ps(e,t,!1)));case`join`:return new ys(e.value.map(e=>e.value).join(``));case`string`:return new ys(Cs(e,{},0,!1));case`unique`:{let t=new Set,n=[];for(let r of e.value)t.has(r.value)||(t.add(r.value),n.push(r));return new Es(n)}default:throw Error(`Unknown ArrayValue filter: ${r.value}`)}else if(e instanceof ys)switch(r.value){case`length`:case`upper`:case`lower`:case`title`:case`capitalize`:{let t=e.builtins.get(r.value);if(t instanceof Os)return t.value([],n);if(t instanceof _s)return t;throw Error(`Unknown StringValue filter: ${r.value}`)}case`trim`:return new ys(e.value.trim());case`indent`:return new ys(e.value.split(` +`).map((e,t)=>t===0||e.length===0?e:` `+e).join(` +`));case`join`:case`string`:return e;case`int`:{let t=parseInt(e.value,10);return new _s(isNaN(t)?0:t)}case`float`:{let t=parseFloat(e.value);return new vs(isNaN(t)?0:t)}default:throw Error(`Unknown StringValue filter: 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if(t.type===`CallExpression`){let r=t;if(r.callee.type!==`Identifier`)throw Error(`Unknown filter: ${r.callee.type}`);let i=r.callee.value;if(i===`tojson`){let[,t]=this.evaluateArguments(r.args,n),i=t.get(`indent`)??new ks;if(!(i instanceof _s||i instanceof ks))throw Error(`If set, indent must be a number`);let a=t.get(`ensure_ascii`)??new bs(!1);if(!(a instanceof bs))throw Error(`If set, ensure_ascii must be a boolean`);let o=t.get(`sort_keys`)??new bs(!1);if(!(o instanceof bs))throw Error(`If set, sort_keys must be a boolean`);let s=t.get(`separators`)??new ks,c=null;if(s instanceof Es||s instanceof Ds){if(s.value.length!==2)throw Error(`separators must be a tuple of two strings`);let[e,t]=s.value;if(!(e instanceof ys)||!(t instanceof ys))throw Error(`separators must be a tuple of two strings`);c=[e.value,t.value]}else if(!(s instanceof ks))throw Error(`If set, separators must be a tuple of two strings`);return new ys(Cs(e,{indent:i.value,ensureAscii:a.value,sortKeys:o.value,separators:c}))}else if(i===`join`){let t;if(e instanceof ys)t=Array.from(e.value);else if(e instanceof Es)t=e.value.map(e=>e.value);else throw Error(`Cannot apply filter "${i}" to type: ${e.type}`);let[a,o]=this.evaluateArguments(r.args,n),s=a.at(0)??o.get(`separator`)??new ys(``);if(!(s instanceof ys))throw Error(`separator must be a string`);return new ys(t.join(s.value))}else if(i===`int`||i===`float`){let[t,a]=this.evaluateArguments(r.args,n),o=t.at(0)??a.get(`default`)??(i===`int`?new _s(0):new vs(0));if(e instanceof ys){let t=i===`int`?parseInt(e.value,10):parseFloat(e.value);return isNaN(t)?o:i===`int`?new _s(t):new vs(t)}else if(e instanceof _s||e instanceof vs)return e;else if(e instanceof bs)return i===`int`?new _s(e.value?1:0):new vs(e.value?1:0);else throw Error(`Cannot apply filter "${i}" to type: ${e.type}`)}else if(i===`default`){let[t,i]=this.evaluateArguments(r.args,n),a=t[0]??new 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_s))throw Error(`width must be a number`);let o=t.at(1)??i.get(`first`)??new bs(!1),s=t.at(2)??i.get(`blank`)??new bs(!1),c=e.value.split(` +`),l=` `.repeat(a.value);return new ys(c.map((e,t)=>!o.value&&t===0||!s.value&&e.length===0?e:l+e).join(` +`))}case`replace`:{let t=e.builtins.get(`replace`);if(!(t instanceof Os))throw Error(`replace filter not available`);let[i,a]=this.evaluateArguments(r.args,n);return t.value([...i,new Ts(a)],n)}}throw Error(`Unknown StringValue filter: ${i}`)}else if(e instanceof ws){let t=e.builtins.get(i);if(t&&t instanceof Os){let[e,i]=this.evaluateArguments(r.args,n);return i.size>0&&e.push(new Ts(i)),t.value(e,n)}throw Error(`Unknown ObjectValue filter: ${i}`)}else throw Error(`Cannot apply filter "${i}" to type: ${e.type}`)}throw Error(`Unknown filter: ${t.type}`)}evaluateFilterExpression(e,t){let n=this.evaluate(e.operand,t);return this.applyFilter(n,e.filter,t)}evaluateTestExpression(e,t){let 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i=this.evaluate(e.callee,t);if(i.type!==`FunctionValue`)throw Error(`Cannot call something that is not a function: got ${i.type}`);return i.value(n,t)}evaluateSliceExpression(e,t,n){if(!(e instanceof Es||e instanceof ys))throw Error(`Slice object must be an array or string`);let r=this.evaluate(t.start,n),i=this.evaluate(t.stop,n),a=this.evaluate(t.step,n);if(!(r instanceof _s||r instanceof As))throw Error(`Slice start must be numeric or undefined`);if(!(i instanceof _s||i instanceof As))throw Error(`Slice stop must be numeric or undefined`);if(!(a instanceof _s||a instanceof As))throw Error(`Slice step must be numeric or undefined`);return e instanceof Es?new Es(cs(e.value,r.value,i.value,a.value)):new ys(cs(Array.from(e.value),r.value,i.value,a.value).join(``))}evaluateMemberExpression(e,t){let n=this.evaluate(e.object,t),r;if(e.computed){if(e.property.type===`SliceExpression`)return this.evaluateSliceExpression(n,e.property,t);r=this.evaluate(e.property,t)}else r=new ys(e.property.value);let i;if(n instanceof ws){if(!(r instanceof ys))throw Error(`Cannot access property with non-string: got ${r.type}`);i=n.value.get(r.value)??n.builtins.get(r.value)}else if(n instanceof Es||n instanceof ys)if(r instanceof _s)i=n.value.at(r.value),n instanceof ys&&(i=new ys(n.value.at(r.value)));else if(r instanceof ys)i=n.builtins.get(r.value);else throw Error(`Cannot access property with non-string/non-number: got ${r.type}`);else{if(!(r instanceof ys))throw Error(`Cannot access property with non-string: got ${r.type}`);i=n.builtins.get(r.value)}return i instanceof gs?i:new As}evaluateSet(e,t){let n=e.value?this.evaluate(e.value,t):this.evaluateBlock(e.body,t);if(e.assignee.type===`Identifier`){let r=e.assignee.value;t.setVariable(r,n)}else if(e.assignee.type===`TupleLiteral`){let r=e.assignee;if(!(n instanceof Es))throw Error(`Cannot unpack non-iterable type in set: ${n.type}`);let i=n.value;if(i.length!==r.value.length)throw Error(`Too 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instanceof ServiceWorkerGlobalScope)&&xl.versions?.web&&!xl.wasm.wasmPaths){let e=`https://cdn.jsdelivr.net/npm/onnxruntime-web@${xl.versions.web}/dist/`;xl.wasm.wasmPaths=_i.IS_SAFARI?{mjs:`${e}ort-wasm-simd-threaded.mjs`,wasm:`${e}ort-wasm-simd-threaded.wasm`}:{mjs:`${e}ort-wasm-simd-threaded.asyncify.mjs`,wasm:`${e}ort-wasm-simd-threaded.asyncify.wasm`}}xl.wasm.proxy=!1}xl.webgpu&&(xl.webgpu.powerPreference=`high-performance`),e(Ei.logLevel??wi.WARNING),Ei.backends.onnx={...xl,setLogLevel:e}}var Cl=async(e,t,n)=>{let r=await _l(new Uint8Array(e),t);return(async e=>{let t=Sl(),i=await yl(r,Object.fromEntries(Object.entries(e).map(([e,n])=>[e,(t?n.clone():n).ort_tensor])));return Array.isArray(n)?n.map(e=>new A(i[e])):new A(i[n])})},wl=class{static session_options={};static get nearest_interpolate_4d(){return this._nearest_interpolate_4d||=Cl([8,10,18,0,58,129,1,10,41,10,1,120,10,0,10,0,10,1,115,18,1,121,34,6,82,101,115,105,122,101,42,18,10,4,109,111,100,101,34,7,110,101,97,114,101,115,116,160,1,3,18,1,114,90,31,10,1,120,18,26,10,24,8,1,18,20,10,3,18,1,98,10,3,18,1,99,10,3,18,1,104,10,3,18,1,119,90,15,10,1,115,18,10,10,8,8,7,18,4,10,2,8,4,98,31,10,1,121,18,26,10,24,8,1,18,20,10,3,18,1,98,10,3,18,1,99,10,3,18,1,104,10,3,18,1,119,66,2,16,21],this.session_options,`y`),this._nearest_interpolate_4d}static get bilinear_interpolate_4d(){return this._bilinear_interpolate_4d||=Cl([8,9,18,0,58,128,1,10,40,10,1,120,10,0,10,0,10,1,115,18,1,121,34,6,82,101,115,105,122,101,42,17,10,4,109,111,100,101,34,6,108,105,110,101,97,114,160,1,3,18,1,114,90,31,10,1,120,18,26,10,24,8,1,18,20,10,3,18,1,98,10,3,18,1,99,10,3,18,1,104,10,3,18,1,119,90,15,10,1,115,18,10,10,8,8,7,18,4,10,2,8,4,98,31,10,1,121,18,26,10,24,8,1,18,20,10,3,18,1,98,10,3,18,1,99,10,3,18,1,104,10,3,18,1,119,66,2,16,20],this.session_options,`y`),this._bilinear_interpolate_4d}static get bicubic_interpolate_4d(){return this._bicubic_interpolate_4d||=Cl([8,9,18,0,58,127,10,39,10,1,120,10,0,10,0,10,1,115,18,1,121,34,6,82,101,115,105,122,101,42,16,10,4,109,111,100,101,34,5,99,117,98,105,99,160,1,3,18,1,114,90,31,10,1,120,18,26,10,24,8,1,18,20,10,3,18,1,98,10,3,18,1,99,10,3,18,1,104,10,3,18,1,119,90,15,10,1,115,18,10,10,8,8,7,18,4,10,2,8,4,98,31,10,1,121,18,26,10,24,8,1,18,20,10,3,18,1,98,10,3,18,1,99,10,3,18,1,104,10,3,18,1,119,66,2,16,20],this.session_options,`y`),this._bicubic_interpolate_4d}static get matmul(){return this._matmul||=Cl([8,9,18,0,58,55,10,17,10,1,97,10,1,98,18,1,99,34,6,77,97,116,77,117,108,18,1,114,90,9,10,1,97,18,4,10,2,8,1,90,9,10,1,98,18,4,10,2,8,1,98,9,10,1,99,18,4,10,2,8,1,66,2,16,20],this.session_options,`c`),this._matmul}static get stft(){return this._stft||=Cl([8,7,18,0,58,148,1,10,38,10,1,115,10,1,106,10,1,119,10,1,108,18,1,111,34,4,83,84,70,84,42,15,10,8,111,110,101,115,105,100,101,100,24,1,160,1,2,18,1,115,90,26,10,1,115,18,21,10,19,8,1,18,15,10,3,18,1,98,10,3,18,1,115,10,3,18,1,99,90,11,10,1,106,18,6,10,4,8,7,18,0,90,16,10,1,119,18,11,10,9,8,1,18,5,10,3,18,1,119,90,11,10,1,108,18,6,10,4,8,7,18,0,98,31,10,1,111,18,26,10,24,8,1,18,20,10,3,18,1,98,10,3,18,1,102,10,3,18,1,100,10,3,18,1,99,66,2,16,17],this.session_options,`o`),this._stft}static get rfft(){return this._rfft||=Cl([8,9,18,0,58,97,10,33,10,1,120,10,0,10,1,97,18,1,121,34,3,68,70,84,42,15,10,8,111,110,101,115,105,100,101,100,24,1,160,1,2,18,1,100,90,21,10,1,120,18,16,10,14,8,1,18,10,10,3,18,1,115,10,3,18,1,99,90,11,10,1,97,18,6,10,4,8,7,18,0,98,21,10,1,121,18,16,10,14,8,1,18,10,10,3,18,1,115,10,3,18,1,99,66,2,16,20],this.session_options,`y`),this._rfft}static get top_k(){return 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Error(`The tensor must have 2 dimensions`);if(e.dims.at(-1)%8!=0)throw Error(`The last dimension of the tensor must be a multiple of 8`);if(![`binary`,`ubinary`].includes(t))throw Error(`The precision must be either 'binary' or 'ubinary'`);let n=t===`binary`,r=n?`int8`:`uint8`,i=n?Int8Array:Uint8Array,a=e.data,o=new i(a.length/8);for(let e=0;e0?1:0,r=Math.floor(e/8),i=e%8;o[r]|=t<<7-i,n&&i===0&&(o[r]-=128)}return new A(r,o,[e.dims[0],e.dims[1]/8])}async function cu(e){if(!e)throw Error(`modelId is required for get_tokenizer_files`);return(await Dc(e,`tokenizer_config.json`,{})).exists?[`tokenizer.json`,`tokenizer_config.json`]:[]}async function lu(e,t){let n=await cu(e);return await Promise.all(n.map(n=>Rc(e,n,!0,t)))}function uu(e){let t=e.dims;switch(t.length){case 1:return e.tolist();case 2:if(t[0]!==1)throw Error("Unable to decode tensor with `batch size !== 1`. Use `tokenizer.batch_decode(...)` for batched inputs.");return e.tolist()[0];default:throw Error(`Expected tensor to have 1-2 dimensions, got ${t.length}.`)}}var du=[`bos_token`,`eos_token`,`unk_token`,`sep_token`,`pad_token`,`cls_token`,`mask_token`];function fu(e,t,n,r){for(let i of Object.keys(e)){let a=t-e[i].length,o=n(i),s=Array(a).fill(o);e[i]=r===`right`?Pi(e[i],s):Pi(s,e[i])}}function pu(e,t){for(let n of Object.keys(e))e[n].length=t}function mu(e,...t){for(let n of t){if(!Object.hasOwn(e,n))continue;let t=e[n];if(t)if(typeof t==`object`){if(t.__type===`AddedToken`)return t.content;throw Error(`Unknown token: ${t}`)}else return t}return null}function hu(e){let t=[];for(let n of e.get_added_tokens_decoder().values())n.special&&t.push(n);return t}var gu=class extends Oi{return_token_type_ids=!1;padding_side=`right`;constructor(e,t){if(super(),this._tokenizerJSON=e,this._tokenizerConfig=t,this._tokenizer=new bo(e,t),this.config=t,this.padding_side=t.padding_side??this.padding_side,this.mask_token=mu(t,`mask_token`),this.mask_token_id=this._tokenizer.token_to_id(this.mask_token),this.pad_token=mu(t,`pad_token`,`eos_token`),this.pad_token_id=this._tokenizer.token_to_id(this.pad_token),this.sep_token=mu(t,`sep_token`),this.sep_token_id=this._tokenizer.token_to_id(this.sep_token),this.unk_token=mu(t,`unk_token`),this.unk_token_id=this._tokenizer.token_to_id(this.unk_token),this.bos_token=mu(t,`bos_token`),this.bos_token_id=this._tokenizer.token_to_id(this.bos_token),this.eos_token=mu(t,`eos_token`),this.eos_token_id=this._tokenizer.token_to_id(this.eos_token),this.chat_template=t.chat_template??null,Array.isArray(this.chat_template)){let e=Object.create(null);for(let{name:t,template:n}of this.chat_template){if(typeof t!=`string`||typeof n!=`string`)throw Error(`Chat template must be a list of objects with "name" and "template" properties`);e[t]=n}this.chat_template=e}this._compiled_template_cache=new Map;let n=hu(this._tokenizer);this.all_special_ids=n.map(e=>e.id),this.all_special_tokens=n.map(e=>e.content)}static async from_pretrained(e,{progress_callback:t=null,config:n=null,cache_dir:r=null,local_files_only:i=!1,revision:a=`main`}={}){let o=await lu(e,{progress_callback:t,config:n,cache_dir:r,local_files_only:i,revision:a});return new this(...o)}get_vocab(){return this._tokenizer.get_vocab()}get model_max_length(){return this._tokenizerConfig.model_max_length??1/0}get add_eos_token(){return this._tokenizerConfig.add_eos_token}get add_bos_token(){return this._tokenizerConfig.add_bos_token}convert_tokens_to_ids(e){return typeof e==`string`?this._tokenizer.token_to_id(e):e.map(e=>this._tokenizer.token_to_id(e))}_call(e,{text_pair:t=null,add_special_tokens:n=!0,padding:r=!1,truncation:i=null,max_length:a=null,return_tensor:o=!0,return_token_type_ids:s=null}={}){let c=Array.isArray(e),l;if(c){if(e.length===0)throw Error(`text array must be non-empty`);if(t!==null){if(!Array.isArray(t))throw Error(`text_pair must also be an array`);if(e.length!==t.length)throw Error(`text and text_pair must have the same length`);l=e.map((e,r)=>this._encode_plus(e,{text_pair:t[r],add_special_tokens:n,return_token_type_ids:s}))}else l=e.map(e=>this._encode_plus(e,{add_special_tokens:n,return_token_type_ids:s}))}else{if(e==null)throw Error(`text may not be null or undefined`);if(Array.isArray(t))throw Error("When specifying `text_pair`, since `text` is a string, `text_pair` must also be a string (i.e., not an array).");l=[this._encode_plus(e,{text_pair:t,add_special_tokens:n,return_token_type_ids:s})]}if(a===null?a=this.model_max_length:i===null&&(r===!0?(zi.warn("`max_length` is ignored when `padding: true` and there is no truncation strategy. To pad to max length, use `padding: 'max_length'`."),a=this.model_max_length):r===!1&&(zi.warn("Truncation was not explicitly activated but `max_length` is provided a specific value, please use `truncation: true` to explicitly truncate examples to max length."),i=!0)),r===!0&&(a=Math.min(Wc(l.map(e=>e.input_ids.length))[0],a??1/0)),a=Math.min(a,this.model_max_length??1/0),r||i)for(let e=0;ea?i&&pu(l[e],a):r&&fu(l[e],a,e=>e===`input_ids`?this.pad_token_id:0,this.padding_side);let u={};if(o){if(!(r&&i)&&l.some(e=>{for(let t of Object.keys(e))if(e[t].length!==l[0][t]?.length)return!0;return!1}))throw Error(`Unable to create tensor, you should probably activate truncation and/or padding with 'padding=true' and 'truncation=true' to have batched tensors with the same length.`);let e=[l.length,l[0].input_ids.length];for(let t of Object.keys(l[0]))u[t]=new A(`int64`,BigInt64Array.from(l.flatMap(e=>e[t]).map(BigInt)),e)}else{for(let e of Object.keys(l[0]))u[e]=l.map(t=>t[e]);if(!c)for(let e of Object.keys(u))u[e]=u[e][0]}return u}_encode_text(e){return e===null?null:this._tokenizer.encode(e).tokens}_encode_plus(e,{text_pair:t=null,add_special_tokens:n=!0,return_token_type_ids:r=null}={}){let{ids:i,attention_mask:a,token_type_ids:o}=this._tokenizer.encode(e,{text_pair:t,add_special_tokens:n,return_token_type_ids:r??this.return_token_type_ids});return{input_ids:i,attention_mask:a,...o?{token_type_ids:o}:{}}}tokenize(e,{pair:t=null,add_special_tokens:n=!1}={}){return this._tokenizer.tokenize(e,{text_pair:t,add_special_tokens:n})}encode(e,{text_pair:t=null,add_special_tokens:n=!0,return_token_type_ids:r=null}={}){return this._tokenizer.encode(e,{text_pair:t,add_special_tokens:n,return_token_type_ids:r}).ids}batch_decode(e,t={}){return e instanceof A&&(e=e.tolist()),e.map(e=>this.decode(e,t))}decode(e,t={}){if(e instanceof A&&(e=uu(e)),!Array.isArray(e)||e.length===0||!ji(e[0]))throw Error(`token_ids must be a non-empty array of integers.`);return this.decode_single(e,t)}decode_single(e,{skip_special_tokens:t=!1,clean_up_tokenization_spaces:n=null}){return this._tokenizer.decode(e,{skip_special_tokens:t,clean_up_tokenization_spaces:n})}get_chat_template({chat_template:e=null,tools:t=null}={}){if(this.chat_template&&typeof this.chat_template==`object`){let n=this.chat_template;if(e!==null&&Object.hasOwn(n,e))e=n[e];else if(e===null)if(t!==null&&`tool_use`in n)e=n.tool_use;else if(`default`in n)e=n.default;else throw Error(`This model has multiple chat templates with no default specified! Please either pass a chat template or the name of the template you wish to use to the 'chat_template' argument. Available template names are ${Object.keys(n).sort()}.`)}else if(e===null)if(this.chat_template)e=this.chat_template;else throw Error(`Cannot use apply_chat_template() because tokenizer.chat_template is not set and no template argument was passed! For information about writing templates and setting the tokenizer.chat_template attribute, please see the documentation at https://huggingface.co/docs/transformers/main/en/chat_templating`);return e}apply_chat_template(e,{tools:t=null,documents:n=null,chat_template:r=null,add_generation_prompt:i=!1,tokenize:a=!0,padding:o=!1,truncation:s=!1,max_length:c=null,return_tensor:l=!0,return_dict:u=!0,tokenizer_kwargs:d={},...f}={}){if(r=this.get_chat_template({chat_template:r,tools:t}),typeof r!=`string`)throw Error(`chat_template must be a string, but got ${typeof r}`);let p=this._compiled_template_cache.get(r);p===void 0&&(p=new Qs(r),this._compiled_template_cache.set(r,p));let m=Object.create(null);for(let e of du){let t=mu(this.config,e);t&&(m[e]=t)}let h=p.render({messages:e,add_generation_prompt:i,tools:t,documents:n,...m,...f});if(a){let e=this._call(h,{add_special_tokens:!1,padding:o,truncation:s,max_length:c,return_tensor:l,...d});return u?e:e.input_ids}return h}};function _u(e,t,n,r){if(!(`language_codes`in e)||!Array.isArray(e.language_codes))throw Error("Tokenizer must have `language_codes` attribute set and it should be an array of language ids.");if(!(`languageRegex`in e)||!(e.languageRegex instanceof RegExp))throw Error("Tokenizer must have `languageRegex` attribute set and it should be a regular expression.");if(!(`lang_to_token`in e)||typeof e.lang_to_token!=`function`)throw Error("Tokenizer must have `lang_to_token` attribute set and it should be a function.");let i=r.src_lang,a=r.tgt_lang;if(!e.language_codes.includes(a))throw Error(`Target language code "${a}" is not valid. Must be one of: {${e.language_codes.join(`, `)}}`);if(i!==void 0){if(!e.language_codes.includes(i))throw Error(`Source language code "${i}" is not valid. Must be one of: {${e.language_codes.join(`, `)}}`);for(let t of e._tokenizer.post_processor.config.single)if(`SpecialToken`in t&&e.languageRegex.test(t.SpecialToken.id)){t.SpecialToken.id=e.lang_to_token(i);break}}return r.forced_bos_token_id=e._tokenizer.token_to_id(e.lang_to_token(a)),e._call(t,n)}var vu={};Yr(vu,{AlbertTokenizer:()=>yu,AutoTokenizer:()=>_d,BartTokenizer:()=>bu,BertTokenizer:()=>xu,BlenderbotSmallTokenizer:()=>Su,BlenderbotTokenizer:()=>Cu,BloomTokenizer:()=>wu,CLIPTokenizer:()=>Eu,CamembertTokenizer:()=>Tu,CodeGenTokenizer:()=>Ou,CodeLlamaTokenizer:()=>Du,CohereAsrTokenizer:()=>Au,CohereTokenizer:()=>ku,ConvBertTokenizer:()=>ju,DebertaTokenizer:()=>Nu,DebertaV2Tokenizer:()=>Mu,DistilBertTokenizer:()=>Pu,ElectraTokenizer:()=>Fu,EsmTokenizer:()=>Iu,FalconTokenizer:()=>Lu,GPT2Tokenizer:()=>Bu,GPTNeoXTokenizer:()=>zu,GemmaTokenizer:()=>Ru,HerbertTokenizer:()=>Vu,LlamaTokenizer:()=>Hu,M2M100Tokenizer:()=>Uu,MBart50Tokenizer:()=>Ku,MBartTokenizer:()=>Gu,MPNetTokenizer:()=>Yu,MarianTokenizer:()=>Wu,MgpstrTokenizer:()=>qu,MobileBertTokenizer:()=>Ju,NllbTokenizer:()=>Xu,NougatTokenizer:()=>Zu,PreTrainedTokenizer:()=>gu,Qwen2Tokenizer:()=>Qu,RoFormerTokenizer:()=>ed,RobertaTokenizer:()=>$u,SiglipTokenizer:()=>td,SpeechT5Tokenizer:()=>nd,SqueezeBertTokenizer:()=>rd,T5Tokenizer:()=>id,TokenizersBackend:()=>gu,VitsTokenizer:()=>od,Wav2Vec2CTCTokenizer:()=>sd,WhisperTokenizer:()=>md,XLMRobertaTokenizer:()=>hd,XLMTokenizer:()=>gd});var yu=class extends gu{return_token_type_ids=!0},bu=class extends gu{},xu=class extends gu{return_token_type_ids=!0},Su=class extends gu{},Cu=class extends gu{},wu=class extends gu{},Tu=class extends gu{},Eu=class extends gu{},Du=class extends gu{},Ou=class extends gu{},ku=class extends gu{},Au=class extends gu{},ju=class extends gu{return_token_type_ids=!0},Mu=class extends gu{return_token_type_ids=!0},Nu=class extends gu{return_token_type_ids=!0},Pu=class extends gu{},Fu=class extends gu{return_token_type_ids=!0},Iu=class extends gu{},Lu=class extends gu{},Ru=class extends gu{},zu=class extends gu{},Bu=class extends gu{},Vu=class extends gu{return_token_type_ids=!0},Hu=class extends gu{padding_side=`left`},Uu=class extends gu{constructor(e,t){super(e,t),this.languageRegex=/^__[a-z]{2,3}__$/,this.language_codes=this.all_special_tokens.filter(e=>this.languageRegex.test(e)).map(e=>e.slice(2,-2)),this.lang_to_token=e=>`__${e}__`}_build_translation_inputs(e,t,n){return _u(this,e,t,n)}},Wu=class extends gu{constructor(e,t){super(e,t),this.languageRegex=/^(>>\w+<<)\s*/g,this.supported_language_codes=Array.from(this.get_vocab().keys()).filter(e=>this.languageRegex.test(e)),zi.warn('WARNING: `MarianTokenizer` is not yet supported by Hugging Face\'s "fast" tokenizers library. Therefore, you may experience slightly inaccurate results.')}_encode_text(e){if(e===null)return null;let[t,...n]=e.trim().split(this.languageRegex);if(n.length===0)return super._encode_text(t);if(n.length===2){let[e,t]=n;return this.supported_language_codes.includes(e)||zi.warn(`Unsupported language code "${e}" detected, which may lead to unexpected behavior. Should be one of: ${JSON.stringify(this.supported_language_codes)}`),Pi([e],super._encode_text(t))}}},Gu=class extends gu{constructor(e,t){super(e,t),this.languageRegex=/^[a-z]{2}_[A-Z]{2}$/,this.language_codes=this.all_special_tokens.filter(e=>this.languageRegex.test(e)).map(e=>e),this.lang_to_token=e=>e}_build_translation_inputs(e,t,n){return _u(this,e,t,n)}},Ku=class extends Gu{},qu=class extends gu{},Ju=class extends gu{return_token_type_ids=!0},Yu=class extends gu{},Xu=class extends gu{constructor(e,t){super(e,t),this.languageRegex=/^[a-z]{3}_[A-Z][a-z]{3}$/,this.language_codes=this.all_special_tokens.filter(e=>this.languageRegex.test(e)),this.lang_to_token=e=>e}_build_translation_inputs(e,t,n){return _u(this,e,t,n)}},Zu=class extends gu{},Qu=class extends gu{},$u=class extends gu{},ed=class extends gu{return_token_type_ids=!0},td=class extends gu{},nd=class extends gu{},rd=class extends gu{return_token_type_ids=!0},id=class extends gu{},ad=class extends oo{decode_chain(e){let t=``;for(let n=1;n[t,e]),...[[`burmese`,`my`],[`valencian`,`ca`],[`flemish`,`nl`],[`haitian`,`ht`],[`letzeburgesch`,`lb`],[`pushto`,`ps`],[`panjabi`,`pa`],[`moldavian`,`ro`],[`moldovan`,`ro`],[`sinhalese`,`si`],[`castilian`,`es`]]]);function dd(e){e=e.toLowerCase();let t=ud.get(e);if(t===void 0){let n=e.match(/^<\|([a-z]{2})\|>$/);if(n&&(e=n[1]),ld.has(e))t=e;else{let t=e.length===2?ld.keys():ld.values();throw Error(`Language "${e}" is not supported. Must be one of: ${JSON.stringify(Array.from(t))}`)}}return t}var fd=RegExp(`^[\\p{P}\\u0021-\\u002F\\u003A-\\u0040\\u005B-\\u0060\\u007B-\\u007E]+$`,`gu`),pd=.1,md=class extends gu{get timestamp_begin(){return this._tokenizer.token_to_id(`<|notimestamps|>`)+1}_decode_asr(e,{return_timestamps:t=!1,return_language:n=!1,time_precision:r=null,force_full_sequences:i=!0}={}){if(r===null)throw Error(`Must specify time_precision`);let a=null,o=t===`word`;function s(){return{language:a,timestamp:[null,null],text:``}}let c=[],l=s(),u=0,d=this.timestamp_begin,f=d+1500,p=[],m=[],h=!1,g=null,_=new Set(this.all_special_ids);for(let n of e){let e=n.tokens,i=o?n.token_timestamps:null,v=null,y=d;if(`stride`in n){let[t,i,a]=n.stride;if(u-=i,g=t-a,i&&(y=i/r+d),a)for(let t=e.length-1;t>=0;--t){let n=Number(e[t]);if(n>=d){if(v!==null&&(n-d)*r=d&&g<=f){let e=Xc((g-d)*r+u,2);if(v!==null&&g>=v)h=!0;else if(h||p.length>0&&g0&&l.timestamp[1]!==null))for(let e of l.words)e.timestamp[1]>l.timestamp[1]&&l.timestamp[1]>=e.timestamp[0]&&(e.timestamp[1]=l.timestamp[1]);c.push(l),p=[],b=[],m=[],x=[],l=s()}}else if(b.push(g),o){let e=Xc(i[n]+u,2),t;if(n+10?(p.push(b),o&&m.push(x)):p.every(e=>e.length===0)&&(l=s(),p=[],b=[],m=[],x=[])}if(p.length>0){if(i&&t)throw Error(`Whisper did not predict an ending timestamp, which can happen if audio is cut off in the middle of a word. Also make sure WhisperTimeStampLogitsProcessor was used during generation.`);let[e,n]=this.findLongestCommonSequence(p,m),r=this.decode(e);l.text=r,o&&(l.words=this.collateWordTimestamps(e,n,a)),c.push(l)}let v=Object.create(null),y=c.map(e=>e.text).join(``);if(t||n){for(let e=0;e0,o=a?[]:null,s=a?t[0]:null;for(let c=1;ce===g[n]&&s[i+n][0]-pd<=t[c][m+n][0]).length:p.filter((e,t)=>e===g[t]).length;let v=e/1e4,y=_/e+v;_>1&&y>u&&(u=y,d=[i,o,m,h])}let[p,m,h,g]=d,_=Math.floor((m+p)/2),v=Math.floor((g+h)/2);if(a&&u===0&&r>0){let e=s[r-1][0],n=t[c].findIndex(t=>t[0]>=e);v=n===-1?l.length:n}i.push(...n.slice(0,_)),n=l.slice(v),r=n.length,a&&(o.push(...s.slice(0,_)),s=t[c].slice(v))}return i.push(...n),a?(o.push(...s),[i,o]):[i,[]]}collateWordTimestamps(e,t,n){let[r,i,a]=this.combineTokensIntoWords(e,n),o=[];for(let e=0;e=r){let e=((t-r)*n).toFixed(2);i.push(`<|${e}|>`),i.push([])}else i[i.length-1].push(t);return i=i.map(e=>typeof e==`string`?e:super.decode(e,t)),i.join(``)}splitTokensOnUnicode(e){let t=this.decode(e,{decode_with_timestamps:!0}),n=[],r=[],i=[],a=[],o=[],s=0;for(let c=0;c=this._tokenizer.token_to_id(`<|endoftext|>`),d=s.startsWith(` `),f=s.trim(),p=fd.test(f);if(u||d||p||i.length===0)i.push(s),a.push(c),o.push(l);else{let e=i.length-1;i[e]+=s,a[e].push(...c),o[e].push(...l)}}return[i,a,o]}mergePunctuations(e,t,n,r,i){let a=structuredClone(e),o=structuredClone(t),s=structuredClone(n),c=a.length-2,l=a.length-1;for(;c>=0;)a[c].startsWith(` `)&&r.includes(a[c].trim())?(a[l]=a[c]+a[l],o[l]=Pi(o[c],o[l]),s[l]=Pi(s[c],s[l]),a[c]=``,o[c]=[],s[c]=[]):l=c,--c;for(c=0,l=1;le),o.filter(e=>e.length>0),s.filter(e=>e.length>0)]}},hd=class extends gu{},gd=class extends gu{return_token_type_ids=!0;constructor(e,t){super(e,t),zi.warn('WARNING: `XLMTokenizer` is not yet supported by Hugging Face\'s "fast" tokenizers library. Therefore, you may experience slightly inaccurate results.')}},_d=class{static async from_pretrained(e,{progress_callback:t=null,config:n=null,cache_dir:r=null,local_files_only:i=!1,revision:a=`main`}={}){let[o,s]=await lu(e,{progress_callback:t,config:n,cache_dir:r,local_files_only:i,revision:a}),c=s.tokenizer_class?.replace(/Fast$/,``)??`PreTrainedTokenizer`,l=vu[c];return l||=(zi.warn(`Unknown tokenizer class "${c}", attempting to construct from base class.`),gu),new l(o,s)}},vd=`https://github.com/huggingface/transformers.js/issues/new/choose`,yd=`preprocessor_config.json`,bd=yd,xd=`processor_config.json`,Sd=`chat_template.jinja`,Cd=class extends Oi{static classes=[`image_processor_class`,`tokenizer_class`,`feature_extractor_class`];static uses_processor_config=!1;static uses_chat_template_file=!1;constructor(e,t,n){super(),this.config=e,this.components=t,this.chat_template=n}get image_processor(){return this.components.image_processor}get tokenizer(){return this.components.tokenizer}get feature_extractor(){return this.components.feature_extractor}apply_chat_template(e,t={}){if(!this.tokenizer)throw Error(`Unable to apply chat template without a tokenizer.`);return this.tokenizer.apply_chat_template(e,{tokenize:!1,chat_template:this.chat_template??void 0,...t})}batch_decode(...e){if(!this.tokenizer)throw Error(`Unable to decode without a tokenizer.`);return this.tokenizer.batch_decode(...e)}decode(...e){if(!this.tokenizer)throw Error(`Unable to decode without a tokenizer.`);return this.tokenizer.decode(...e)}async _call(e,...t){for(let n of[this.image_processor,this.feature_extractor,this.tokenizer])if(n)return n(e,...t);throw Error(`No image processor, feature extractor, or tokenizer found.`)}static async from_pretrained(e,t={}){let[n,r,i]=await Promise.all([this.uses_processor_config?Rc(e,xd,!0,t):{},Promise.all(this.classes.filter(e=>e in this).map(async n=>{let r=await this[n].from_pretrained(e,t);return[n.replace(/_class$/,``),r]})).then(Object.fromEntries),this.uses_chat_template_file?Lc(e,Sd,!0,t):null]);return new this(n,r,i)}},wd={};Yr(wd,{ChatterboxProcessor:()=>vf,CohereAsrProcessor:()=>bf,Florence2Processor:()=>um,Gemma3Processor:()=>dm,Gemma3nProcessor:()=>fm,Gemma4Processor:()=>pm,Glm46VProcessor:()=>hm,GraniteSpeechProcessor:()=>gm,GroundingDinoProcessor:()=>vm,Idefics3Processor:()=>Sm,JinaCLIPProcessor:()=>wm,Lfm2VlProcessor:()=>Tm,LlavaProcessor:()=>Em,MgpstrProcessor:()=>Om,MoonshineProcessor:()=>km,OwlViTProcessor:()=>Am,PaliGemmaProcessor:()=>Nm,Phi3VProcessor:()=>Im,PixtralProcessor:()=>Lm,Processor:()=>Cd,PyAnnoteProcessor:()=>Rm,Qwen2VLProcessor:()=>mm,Qwen2_5_VLProcessor:()=>zm,Qwen3VLProcessor:()=>Bm,Sam2Processor:()=>Hm,Sam2VideoProcessor:()=>Um,SamProcessor:()=>Vm,SmolVLMProcessor:()=>Sm,SpeechT5Processor:()=>Wm,UltravoxProcessor:()=>Gm,VLChatProcessor:()=>Cm,VoxtralProcessor:()=>Xm,VoxtralRealtimeProcessor:()=>nh,Wav2Vec2Processor:()=>rh,Wav2Vec2ProcessorWithLM:()=>ih,WhisperProcessor:()=>ah});var Td=class extends Oi{constructor(e){super(),this.config=e}static async from_pretrained(e,t={}){let n=await Rc(e,yd,!0,t);return new this(n)}};function Ed(e,t){if(!(e instanceof Float32Array||e instanceof Float64Array))throw Error(`${t} expects input to be a Float32Array or a Float64Array, but got ${e?.constructor?.name??typeof e} instead. If using the feature extractor directly, remember to use \`read_audio(url, sampling_rate)\` to obtain the raw audio data of the file/url.`)}var Dd={};Yr(Dd,{ASTFeatureExtractor:()=>Xd,ChatterboxFeatureExtractor:()=>Qd,ClapFeatureExtractor:()=>$d,CohereAsrFeatureExtractor:()=>nf,DacFeatureExtractor:()=>rf,EncodecFeatureExtractor:()=>Zd,FeatureExtractor:()=>Td,Gemma3nAudioFeatureExtractor:()=>af,Gemma4AudioFeatureExtractor:()=>of,GraniteSpeechFeatureExtractor:()=>sf,MoonshineFeatureExtractor:()=>cf,ParakeetFeatureExtractor:()=>tf,PyAnnoteFeatureExtractor:()=>lf,SeamlessM4TFeatureExtractor:()=>uf,SnacFeatureExtractor:()=>df,SpeechT5FeatureExtractor:()=>ff,VoxtralRealtimeFeatureExtractor:()=>hf,Wav2Vec2FeatureExtractor:()=>pf,WeSpeakerFeatureExtractor:()=>mf,WhisperFeatureExtractor:()=>gf});var Od={fromWeb:()=>{}};async function kd(e,t){if(_i.IS_BROWSER_ENV){if(_i.IS_WEBWORKER_ENV)throw Error(`Unable to save a file from a Web Worker.`);let n=URL.createObjectURL(t),r=document.createElement(`a`);r.href=n,r.download=e,r.click(),r.remove(),URL.revokeObjectURL(n)}else if(_i.IS_FS_AVAILABLE){let n=t.stream();await(Od.fromWeb(n),Xr.createWriteStream(e),void 0)}else throw Error(`Unable to save because filesystem is disabled in this environment.`)}async function Ad(e,t){if(typeof AudioContext>`u`)throw Error("Unable to load audio from path/URL since `AudioContext` is not available in your environment. Instead, audio data should be passed directly to the pipeline/processor. For more information and some example code, see https://huggingface.co/docs/transformers.js/guides/node-audio-processing.");let n=await(await kc(e)).arrayBuffer(),r=new AudioContext({sampleRate:t});t===void 0&&zi.warn(`No sampling rate provided, using default of ${r.sampleRate}Hz.`);let i=await r.decodeAudioData(n),a;if(i.numberOfChannels===2){let e=Math.sqrt(2),t=i.getChannelData(0),n=i.getChannelData(1);a=new Float32Array(t.length);for(let r=0;r2595*Math.log10(1+e/700),kaldi:e=>1127*Math.log(1+e/700),slaney:(e,t=1e3,n=15,r=27/Math.log(6.4))=>e>=t?n+Math.log(e/t)*r:3*e/200};function Fd(e,t=`htk`){let n=Pd[t];if(!n)throw Error(`mel_scale should be one of "htk", "slaney" or "kaldi".`);return typeof e==`number`?n(e):e.map(e=>n(e))}var Id={htk:e=>700*(10**(e/2595)-1),kaldi:e=>700*(Math.exp(e/1127)-1),slaney:(e,t=1e3,n=15,r=Math.log(6.4)/27)=>e>=n?t*Math.exp(r*(e-n)):200*e/3};function Ld(e,t=`htk`){let n=Id[t];if(!n)throw Error(`mel_scale should be one of "htk", "slaney" or "kaldi".`);return typeof e==`number`?n(e):e.map(e=>n(e))}function Rd(e,t){let n=Float64Array.from({length:t.length-1},(e,n)=>t[n+1]-t[n]),r=Array.from({length:e.length},()=>Array(t.length));for(let n=0;nArray(e.length));for(let t=0;te+r*n)}function Bd(e,t,n,r,i,a=null,o=`htk`,s=!1){if(a!==null&&a!==`slaney`)throw Error(`norm must be one of null or "slaney"`);if(e<2)throw Error(`Require num_frequency_bins: ${e} >= 2`);if(n>r)throw Error(`Require min_frequency: ${n} <= max_frequency: ${r}`);let c=zd(Fd(n,o),Fd(r,o),t+2),l=Ld(c,o),u;if(s){let t=i/((e-1)*2);u=Fd(Float64Array.from({length:e},(e,n)=>n*t),o),l=c}else u=zd(0,Math.floor(i/2),e);let d=Rd(u,l);if(a!==null&&a===`slaney`)for(let n=0;ni)throw Error(`frame_length (${n}) may not be larger than fft_length (${i})`);if(T!==n)throw Error(`Length of the window (${T}) must equal frame_length (${n})`);if(r<=0)throw Error(`hop_length must be greater than zero`);if(a===null&&d!==null)throw Error("You have provided `mel_filters` but `power` is `None`. Mel spectrogram computation is not yet supported for complex-valued spectrogram. Specify `power` to fix this issue.");if(!u)throw Error("`preemphasis_htk_flavor=false` is not currently supported.");if(o){let t=Math.floor(n/2);switch(s){case`reflect`:e=Vd(e,t,t);break;case`constant`:{let n=new e.constructor(e.length+2*t);n.set(e,t),e=n;break}case`semicausal`:{let n=new e.constructor(e.length+t);n.set(e,t),e=n;break}default:throw Error(`pad_mode="${s}" not implemented yet.`)}}let ee=Math.floor(1+Math.floor((e.length-n)/r));y!==null&&eeee?x&&(E=b):E=ne=b);let D=new Jc(i),re=new Float64Array(i),ie=new Float64Array(D.outputBufferSize),ae=new Float32Array(te*E);for(let i=0;i=1;--e)re[e]-=l*re[e-1];re[0]*=1-l}for(let e=0;ee**.85);break;default:throw Error(`Unknown window type ${t}.`)}if(n&&(o=o.subarray(0,e)),r===null||e===r)return o;if(e>r)throw Error(`Length of the window (${e}) may not be larger than frame_length (${r})`);let s=new Float64Array(r),c=i?Math.floor((r-e)/2):0;return s.set(o,c),s}function qd(e,t){let n=e.reduce((e,t)=>e+t.length,0),r=new ArrayBuffer(44),i=new DataView(r);return Jd(i,0,`RIFF`),i.setUint32(4,36+n*4,!0),Jd(i,8,`WAVE`),Jd(i,12,`fmt `),i.setUint32(16,16,!0),i.setUint16(20,3,!0),i.setUint16(22,1,!0),i.setUint32(24,t,!0),i.setUint32(28,t*4,!0),i.setUint16(32,4,!0),i.setUint16(34,32,!0),Jd(i,36,`data`),i.setUint32(40,n*4,!0),new Blob([r,...e.map(e=>e.buffer)],{type:`audio/wav`})}function Jd(e,t,n){for(let r=0;re+t.length,0),t=new Float32Array(e),n=0;for(let e of this.audio)t.set(e,n),n+=e.length;return t}else return this.audio}toBlob(){let e=this.audio;return e instanceof Float32Array&&(e=[e]),qd(e,this.sampling_rate)}async save(e){return kd(e,this.toBlob())}},Xd=class extends Td{constructor(e){super(e);let t=this.config.sampling_rate;this.mel_filters=Bd(257,this.config.num_mel_bins,20,Math.floor(t/2),t,null,`kaldi`,!0),this.window=Kd(400,`hann`,{periodic:!1}),this.mean=this.config.mean,this.std=this.config.std}async _extract_fbank_features(e,t){return Gd(e,this.window,400,160,{fft_length:512,power:2,center:!1,preemphasis:.97,mel_filters:this.mel_filters,log_mel:`log`,mel_floor:1.192092955078125e-7,remove_dc_offset:!0,max_num_frames:t,transpose:!0})}async _call(e){Ed(e,`ASTFeatureExtractor`);let t=await this._extract_fbank_features(e,this.config.max_length);if(this.config.do_normalize){let e=this.std*2,n=t.data;for(let t=0;t0)if(n===`rand_trunc`){let n=Math.floor(ic.random()*(a+1));e=e.subarray(n,n+t),i=await this._extract_fbank_features(e,this.mel_filters_slaney,this.config.nb_max_samples)}else throw Error(`Truncation strategy "${n}" not implemented`);else{if(a<0){let n=new Float64Array(t);if(n.set(e),r===`repeat`)for(let r=e.length;r=1;--n)e[n]-=t*e[n-1];return await Gd(e,this.window,this.window.length,this.config.hop_length,{fft_length:this.config.n_fft,power:2,mel_filters:this.config.mel_filters,log_mel:`log`,mel_floor:-1/0,pad_mode:`constant`,center:!0,transpose:!0,mel_offset:2**-24})}async _call(e){Ed(e,`ParakeetFeatureExtractor`);let t=await this._extract_fbank_features(e),n=Math.floor((e.length+Math.floor(this.config.n_fft/2)*2-this.config.n_fft)/this.config.hop_length),r=t.data;r.fill(0,n*t.dims[1]);let[i,a]=t.dims,o=new Float64Array(a),s=new Float64Array(a);for(let e=0;e1?n-1:1;for(let e=0;e=l){s.push(e.slice(c,l));break}let t=Math.max(c,c+a-o),n=Math.min(c+a,l),i;i=n<=t?c+a:this._find_split_point_energy(e,t,n,r),i=Math.max(c+1,Math.min(i,l)),s.push(e.slice(c,i)),c=i}return s}_find_split_point_energy(e,t,n,r){let i=n-t;if(i<=r)return Math.floor((t+n)/2);let a=1/0,o=t,s=i-r;for(let n=0;n<=s;n+=r){let i=0;for(let a=0;at&&(e=e.slice(0,t)),r&&e.length%i!==0){let t=i-e.length%i,n=new Float64Array(e.length+t);n.set(e),this.config.padding_value!==0&&n.fill(this.config.padding_value,e.length),e=n}let a=await this._extract_fbank_features(e,this.config.max_length),o=eu([1,a.dims[0]],!0);return{input_features:a.unsqueeze_(0),input_features_mask:o}}},of=class extends af{async _extract_fbank_features(e,t){let{frame_length:n,hop_length:r,fft_length:i}=this.config,a=Math.floor(n/2),o=Math.floor((e.length+a-(n+1))/r)+1;return Gd(e,this.window,n,r,{fft_length:i,center:!0,pad_mode:`semicausal`,onesided:!0,preemphasis:this.config.preemphasis,preemphasis_htk_flavor:this.config.preemphasis_htk_flavor,mel_filters:this.mel_filters,log_mel:`log`,mel_floor:this.config.mel_floor,mel_floor_mode:`add`,remove_dc_offset:!1,transpose:!0,max_num_frames:o})}async _call(e,t={}){Ed(e,`Gemma4AudioFeatureExtractor`);let n=e.length,r=await super._call(e,t),{input_features:i}=r,[,a,o]=i.dims,{frame_length:s,hop_length:c}=this.config,l=Math.floor(s/2),u=s+1,d=new Uint8Array(n+l+(t.pad_to_multiple_of??128));d.fill(1,l,l+n);let f=new Uint8Array(a);for(let e=0;e({id:e,start:t*n,end:r*n,confidence:i/(r-t)})))}return r}},uf=class extends Td{constructor(e){super(e);let t=this.config.sampling_rate;this.mel_filters=Bd(257,this.config.num_mel_bins,20,Math.floor(t/2),t,null,`kaldi`,!0),this.window=Kd(400,`povey`,{periodic:!1})}async _extract_fbank_features(e,t){return e=e.map(e=>e*32768),Gd(e,this.window,400,160,{fft_length:512,power:2,center:!1,preemphasis:.97,mel_filters:this.mel_filters,log_mel:`log`,mel_floor:1.192092955078125e-7,remove_dc_offset:!0,max_num_frames:t,transpose:!0})}async _call(e,{padding:t=!0,pad_to_multiple_of:n=2,do_normalize_per_mel_bins:r=!0,return_attention_mask:i=!0}={}){Ed(e,`SeamlessM4TFeatureExtractor`);let a=await this._extract_fbank_features(e,this.config.max_length);if(r){let[e,t]=a.dims,n=a.data;for(let r=0;r0){let n=new Float32Array(t*(e+s));n.set(r),n.fill(this.config.padding_value,r.length);let c=e+s;a=new A(a.type,n,[c,t]),i&&(o=new A(`int64`,new BigInt64Array(c),[1,c]),o.data.fill(1n,0,e))}}let[s,c]=a.dims,l=this.config.stride;if(s%l!==0)throw Error(`The number of frames (${s}) must be a multiple of the stride (${l}).`);let u=a.view(1,Math.floor(s/l),c*l),d={input_features:u};if(i){let e=u.dims[1],t=new BigInt64Array(e);if(o){let e=o.data;for(let n=1,r=0;ne+t,0)/e.length,n=e.reduce((e,n)=>e+(n-t)**2,0)/e.length;return e.map(e=>(e-t)/Math.sqrt(n+1e-7))}async _call(e){Ed(e,`Wav2Vec2FeatureExtractor`),e instanceof Float64Array&&(e=new Float32Array(e));let t=e;this.config.do_normalize&&(t=this._zero_mean_unit_var_norm(t));let n=[1,t.length];return{input_values:new A(`float32`,t,n),attention_mask:new A(`int64`,new BigInt64Array(t.length).fill(1n),n)}}},mf=class extends Td{constructor(e){super(e);let t=this.config.sampling_rate;this.mel_filters=Bd(257,this.config.num_mel_bins,20,Math.floor(t/2),t,null,`kaldi`,!0),this.window=Kd(400,`hamming`,{periodic:!1}),this.min_num_frames=this.config.min_num_frames}async _extract_fbank_features(e){return e=e.map(e=>e*32768),Gd(e,this.window,400,160,{fft_length:512,power:2,center:!1,preemphasis:.97,mel_filters:this.mel_filters,log_mel:`log`,mel_floor:1.192092955078125e-7,remove_dc_offset:!0,transpose:!0,min_num_frames:this.min_num_frames})}async _call(e){Ed(e,`WeSpeakerFeatureExtractor`);let t=(await this._extract_fbank_features(e)).unsqueeze_(0);if(this.config.fbank_centering_span===null){let e=t.mean(1).data,n=t.data,[r,i,a]=t.dims;for(let t=0;tr?(e.length>this.config.n_samples&&zi.warn("Attempting to extract features for audio longer than 30 seconds. If using a pipeline to extract transcript from a long audio clip, remember to specify `chunk_length_s` and/or `stride_length_s`."),n=e.slice(0,r)):(n=new Float32Array(r),n.set(e)),{input_features:(await this._extract_fbank_features(n)).unsqueeze_(0)}}},_f=class{static async from_pretrained(e,t={}){let n=await Rc(e,yd,!0,t),r=n.feature_extractor_type,i=Dd[r];if(!i)throw Error(`Unknown feature_extractor_type: '${r}'. Please report this at ${vd}.`);return new i(n)}},vf=class extends Cd{static tokenizer_class=_d;static feature_extractor_class=_f;async _call(e,t=null){let n=this.tokenizer(e),r=t?await this.feature_extractor(t):{};return{...n,...r}}},yf=new Set([`ja`,`zh`]),bf=class extends Cd{static tokenizer_class=_d;static feature_extractor_class=_f;static uses_processor_config=!0;get_decoder_prompt_ids(e=`en`){let t=[`▁`,`<|startofcontext|>`,`<|startoftranscript|>`,`<|emo:undefined|>`,`<|${e}|>`,`<|${e}|>`,`<|pnc|>`,`<|noitn|>`,`<|notimestamp|>`,`<|nodiarize|>`];return this.tokenizer.convert_tokens_to_ids(t)}static join_chunks(e,t=`en`){let n=e.filter(e=>e&&e.trim());if(n.length===0)return``;let r=yf.has(t)?``:` `;return[n[0].trimEnd(),...n.slice(1).map(e=>e.trim())].join(r)}async _call(e){return await this.feature_extractor(e)}},xf={},Sf,Cf,wf;if(_i.IS_WEB_ENV)Sf=(e,t)=>{if(!self.OffscreenCanvas)throw Error(`OffscreenCanvas not supported by this environment.`);return new self.OffscreenCanvas(e,t)},wf=self.createImageBitmap,Cf=self.ImageData;else if(xf)wf=async e=>{let t=(await e.metadata()).channels,{data:n,info:r}=await e.rotate().raw().toBuffer({resolveWithObject:!0}),i=new Df(new Uint8ClampedArray(n),r.width,r.height,r.channels);return t!==void 0&&t!==r.channels&&i.convert(t),i};else throw Error(`Unable to load image processing library.`);var Tf={0:`nearest`,1:`lanczos`,2:`bilinear`,3:`bicubic`,4:`box`,5:`hamming`},Ef=new Map([[`png`,`image/png`],[`jpg`,`image/jpeg`],[`jpeg`,`image/jpeg`],[`gif`,`image/gif`]]),Df=class e{constructor(e,t,n,r){this.data=e,this.width=t,this.height=n,this.channels=r}get size(){return[this.width,this.height]}static async read(t){if(t instanceof e)return t;if(typeof t==`string`||t instanceof URL)return await this.fromURL(t);if(t instanceof Blob)return await this.fromBlob(t);if(typeof HTMLCanvasElement<`u`&&t instanceof HTMLCanvasElement||typeof OffscreenCanvas<`u`&&t instanceof OffscreenCanvas)return this.fromCanvas(t);throw Error(`Unsupported input type: ${typeof t}`)}static fromCanvas(t){if(!_i.IS_WEB_ENV)throw Error(`fromCanvas() is only supported in browser environments.`);let n=t.getContext(`2d`).getImageData(0,0,t.width,t.height).data;return new e(n,t.width,t.height,4)}static async fromURL(e){let t=await kc(e);if(t.status!==200)throw Error(`Unable to read image from "${e}" (${t.status} ${t.statusText})`);let n=await t.blob();return this.fromBlob(n)}static async fromBlob(e){if(_i.IS_WEB_ENV){let t=await wf(e),n=Sf(t.width,t.height).getContext(`2d`);return n.drawImage(t,0,0),new this(n.getImageData(0,0,t.width,t.height).data,t.width,t.height,4)}else{let t=xf(await e.arrayBuffer());return await wf(t)}}static fromTensor(t,n=`CHW`){if(t.dims.length!==3)throw Error(`Tensor should have 3 dimensions, but has ${t.dims.length} dimensions.`);if(n===`CHW`)t=t.transpose(1,2,0);else if(n!==`HWC`)throw Error(`Unsupported channel format: ${n}`);if(!(t.data instanceof Uint8ClampedArray||t.data instanceof Uint8Array))throw Error(`Unsupported tensor type: ${t.type}`);switch(t.dims[2]){case 1:case 2:case 3:case 4:return new e(t.data,t.dims[1],t.dims[0],t.dims[2]);default:throw Error(`Unsupported number of channels: ${t.dims[2]}`)}}grayscale(){if(this.channels===1)return this;let e=new Uint8ClampedArray(this.width*this.height*1);switch(this.channels){case 3:case 4:for(let t=0,n=0;t=0?c=r:u=-r,i>=0?l=i:d=-i,s.drawImage(o,c,l,t,n,u,d,t,n),new e(s.getImageData(0,0,t,n).data,t,n,4).convert(a)}else{let e=this.toSharp();if(r>=0&&i>=0)e=e.extract({left:Math.floor(r),top:Math.floor(i),width:t,height:n});else if(r<=0&&i<=0){let a=Math.floor(-i),o=Math.floor(-r);e=e.extend({top:a,left:o,right:t-this.width-o,bottom:n-this.height-a})}else{let a=[0,0],o=0;i<0?(a[0]=Math.floor(-i),a[1]=n-this.height-a[0]):o=Math.floor(i);let s=[0,0],c=0;r<0?(s[0]=Math.floor(-r),s[1]=t-this.width-s[0]):c=Math.floor(r),e=e.extend({top:a[0],bottom:a[1],left:s[0],right:s[1]}).extract({left:c,top:o,width:t,height:n})}return await wf(e)}}async toBlob(e=`image/png`,t=1){if(!_i.IS_WEB_ENV)throw Error(`toBlob() is only supported in browser environments.`);return await this.toCanvas().convertToBlob({type:e,quality:t})}toTensor(e=`CHW`){let t=new A(`uint8`,new Uint8Array(this.data),[this.height,this.width,this.channels]);if(e!==`HWC`)if(e===`CHW`)t=t.permute(2,0,1);else throw Error(`Unsupported channel format: ${e}`);return t}toCanvas(){if(!_i.IS_WEB_ENV)throw Error(`toCanvas() is only supported in browser environments.`);let e=this.clone().rgba(),t=Sf(e.width,e.height),n=new Cf(e.data,e.width,e.height);return t.getContext(`2d`).putImageData(n,0,0),t}split(){let{data:t,width:n,height:r,channels:i}=this,a=t.constructor,o=t.length/i,s=Array.from({length:i},()=>new a(o));for(let e=0;enew e(t,n,r,1))}_update(e,t,n,r=null){return this.data=e,this.width=t,this.height=n,r!==null&&(this.channels=r),this}clone(){return new e(this.data.slice(),this.width,this.height,this.channels)}convert(e){if(this.channels===e)return this;switch(e){case 1:this.grayscale();break;case 3:this.rgb();break;case 4:this.rgba();break;default:throw Error(`Conversion failed due to unsupported number of channels: ${this.channels}`)}return this}async save(e){if(_i.IS_WEB_ENV){if(_i.IS_WEBWORKER_ENV)throw Error(`Unable to save an image from a Web Worker.`);let t=e.split(`.`).pop().toLowerCase(),n=Ef.get(t)??`image/png`;return kd(e,await this.toBlob(n))}else if(_i.IS_FS_AVAILABLE)await this.toSharp().toFile(e);else throw Error(`Unable to save the image because filesystem is disabled in this environment.`)}toSharp(){if(_i.IS_WEB_ENV)throw Error(`toSharp() is only supported in server-side environments.`);return xf(this.data,{raw:{width:this.width,height:this.height,channels:this.channels}})}},Of=Df.read.bind(Df);function kf(e,t,n=0,r=null){let i=e/t,a=Zc(i)*t;return r!==null&&a>r&&(a=Math.floor(i)*t),at&&i.push(e)}else{let e=Wc(n.data)[1];if(e===c-1||(a=Vc(n.data),a[e]e*o[(t+1)%2])),u.boxes.push(n),u.classes.push(t),u.scores.push(a[t])}}l.push(u)}return l}function Nf(e,t=null){let n=e.logits,r=n.dims[0];if(t!==null&&t.length!==r)throw Error(`Make sure that you pass in as many target sizes as the batch dimension of the logits`);let i=[];for(let e=0;el[n]&&(l[n]=t[n],u[n]=e)}let d=Array(a.dims[0]);for(let e=0;ee!==void 0);i.push({segmentation:c,labels:f})}return i}function Pf(e,t,n,r){let i=[],a=[],o=[];for(let s=0;sn&&(i.push(l),a.push(d),o.push(u))}return[i,a,o]}function Ff(e,t,n,r=.5,i=.8){let a=[],o=0,s=0,c=t[n].data;for(let t=0;t=r&&++s;let l=o>0&&s>0;return l&&=o/s>i,[l,a]}function If(e,t,n,r,i,a=null,o=null){let[s,c]=o??e[0].dims,l=new A(`int32`,new Int32Array(s*c),[s,c]),u=[];if(o!==null)for(let t=0;tf[e]&&(d[e]=n,f[e]=i[e])}let p=0,m=l.data;for(let a=0;a200)throw Error(`absolute aspect ratio must be smaller than 200, got ${Math.max(e,t)/Math.min(e,t)}`);let o=Math.round(e/n)*n,s=Math.round(t/n)*n;if(a*o*s>i){let r=Math.sqrt(a*e*t/i);o=Math.max(n,Math.floor(e/r/n)*n),s=Math.max(n,Math.floor(t/r/n)*n)}else if(a*o*si?c=Math.floor(i*s/r):i>r&&(s=Math.floor(r*c/i)),await e.resize(c,s,{resample:n}))}async crop_margin(e,t=200){let n=e.clone().grayscale(),r=Uc(n.data)[0],i=Wc(n.data)[0]-r;if(i===0)return e;let a=t/255,o=n.width,s=n.height,c=0,l=0,u=n.data;for(let e=0;ethis.preprocess(e)));return{pixel_values:Jl(n.map(e=>e.pixel_values),0),original_sizes:n.map(e=>e.original_size),reshaped_input_sizes:n.map(e=>e.reshaped_input_size)}}static async from_pretrained(e,t={}){let n=await Rc(e,bd,!0,t);return new this(n)}},Vf={};Yr(Vf,{BeitFeatureExtractor:()=>Hf,BitImageProcessor:()=>Uf,CHMv2ImageProcessor:()=>Gf,CLIPFeatureExtractor:()=>qf,CLIPImageProcessor:()=>Kf,ChineseCLIPFeatureExtractor:()=>Wf,ConvNextFeatureExtractor:()=>Yf,ConvNextImageProcessor:()=>Jf,DINOv3ViTImageProcessor:()=>ep,DPTFeatureExtractor:()=>ip,DPTImageProcessor:()=>rp,DeiTFeatureExtractor:()=>Zf,DeiTImageProcessor:()=>Xf,DetrFeatureExtractor:()=>$f,DetrImageProcessor:()=>Qf,DonutFeatureExtractor:()=>np,DonutImageProcessor:()=>tp,EfficientNetImageProcessor:()=>ap,GLPNFeatureExtractor:()=>fp,Gemma3ImageProcessor:()=>op,Gemma4ImageProcessor:()=>lp,Glm46VImageProcessor:()=>dp,GroundingDinoImageProcessor:()=>pp,Idefics3ImageProcessor:()=>mp,ImageFeatureExtractor:()=>Bf,ImageProcessor:()=>Bf,JinaCLIPImageProcessor:()=>gp,Lfm2VlImageProcessor:()=>Sp,LlavaOnevisionImageProcessor:()=>Cp,Mask2FormerImageProcessor:()=>Ep,MaskFormerFeatureExtractor:()=>Tp,MaskFormerImageProcessor:()=>wp,MobileNetV1FeatureExtractor:()=>Op,MobileNetV1ImageProcessor:()=>Dp,MobileNetV2FeatureExtractor:()=>Ap,MobileNetV2ImageProcessor:()=>kp,MobileNetV3FeatureExtractor:()=>Mp,MobileNetV3ImageProcessor:()=>jp,MobileNetV4FeatureExtractor:()=>Pp,MobileNetV4ImageProcessor:()=>Np,MobileViTFeatureExtractor:()=>Ip,MobileViTImageProcessor:()=>Fp,NougatImageProcessor:()=>Lp,OwlViTFeatureExtractor:()=>zp,OwlViTImageProcessor:()=>Rp,Owlv2ImageProcessor:()=>Bp,Phi3VImageProcessor:()=>Kp,PixtralImageProcessor:()=>qp,PvtImageProcessor:()=>Jp,Qwen2VLImageProcessor:()=>up,RTDetrImageProcessor:()=>Yp,Sam2ImageProcessor:()=>Xp,Sam3ImageProcessor:()=>Xp,SamImageProcessor:()=>Xp,SapiensFeatureExtractor:()=>Qp,SapiensImageProcessor:()=>Zp,SegformerFeatureExtractor:()=>em,SegformerImageProcessor:()=>$p,SiglipImageProcessor:()=>tm,SmolVLMImageProcessor:()=>mp,Swin2SRImageProcessor:()=>nm,VLMImageProcessor:()=>hp,ViTFeatureExtractor:()=>im,ViTImageProcessor:()=>rm,VitMatteImageProcessor:()=>am,VitPoseImageProcessor:()=>om,YolosFeatureExtractor:()=>cm,YolosImageProcessor:()=>sm});var Hf=class extends Bf{},Uf=class extends Bf{},Wf=class extends Bf{},Gf=class extends Bf{},Kf=class extends Bf{},qf=class extends Kf{},Jf=class extends Bf{constructor(e){super(e),this.crop_pct=this.config.crop_pct??224/256}async resize(e){let t=this.size?.shortest_edge;if(t===void 0)throw Error(`Size dictionary must contain 'shortest_edge' key.`);if(t<384){let n=Math.floor(t/this.crop_pct),[r,i]=this.get_resize_output_image_size(e,{shortest_edge:n});e=await e.resize(r,i,{resample:this.resample}),e=await e.center_crop(t,t)}else e=await e.resize(t,t,{resample:this.resample});return e}},Yf=class extends Jf{},Xf=class extends Bf{},Zf=class extends Xf{},Qf=class extends Bf{async _call(e){let t=await super._call(e),n=eu([t.pixel_values.dims[0],64,64],1n);return{...t,pixel_mask:n}}post_process_object_detection(...e){return Mf(...e)}post_process_panoptic_segmentation(...e){return Rf(...e)}post_process_instance_segmentation(...e){return zf(...e)}},$f=class extends Qf{},ep=class extends Bf{},tp=class extends Bf{pad_image(e,t,n,r={}){let[i,a,o]=t,s=this.image_mean;Array.isArray(this.image_mean)||(s=Array(o).fill(s));let c=this.image_std;Array.isArray(c)||(c=Array(o).fill(s));let l=s.map((e,t)=>-e/c[t]);return super.pad_image(e,t,n,{center:!0,constant_values:l,...r})}},np=class extends tp{},rp=class extends Bf{},ip=class extends rp{},ap=class extends Bf{constructor(e){super(e),this.include_top=this.config.include_top??!0,this.include_top&&(this.image_std=this.image_std.map(e=>e*e))}},op=class extends Bf{};function sp(e,t,n,r,i){let a=r*n**2,o=Math.sqrt(a/(e*t)),s=i*n,c=Math.floor(o*e/s)*s,l=Math.floor(o*t/s)*s;if(c===0&&l===0)throw Error(`Attempting to resize to a 0 x 0 image. Resized height should be divisible by \`pooling_kernel_size * patch_size\`=${s}.`);let u=Math.floor(r/i**2)*s;return c===0?(c=s,l=Math.min(Math.floor(t/e)*s,u)):l===0&&(l=s,c=Math.min(Math.floor(e/t)*s,u)),[c,l]}function cp(e,t,n,r,i,a,o){let s=Math.floor(t/i),c=Math.floor(n/i),l=s*c,u=i*i*r,d=new Float32Array(a*u),f=0;for(let t=0;ta),0));let l=a.dims[0]/o,u=a.dims[1],d=Math.floor(a.dims[2]/c),f=Math.floor(a.dims[3]/c);return{pixel_values:a.view(l,o,u,Math.floor(d/s),s,c,Math.floor(f/s),s,c).permute(0,3,6,4,7,2,1,5,8).view(l*d*f,u*o*c*c),image_grid_thw:new A(`int64`,[l,d,f],[1,3]),original_sizes:r,reshaped_input_sizes:i}}},dp=class extends up{get_resize_output_image_size(e,t){let n=this.patch_size*this.merge_size,r=this.config.temporal_patch_size??2;return Lf(e.height,e.width,n,this.min_pixels,this.max_pixels,r)}},fp=class extends Bf{},pp=class extends Bf{async _call(e){let t=await super._call(e),n=t.pixel_values.dims,r=nu([n[0],n[2],n[3]]);return{...t,pixel_mask:r}}},mp=class extends Bf{constructor(e){super(e),this.do_image_splitting=e.do_image_splitting??!0,this.max_image_size=e.max_image_size}get_resize_for_vision_encoder(e,t){let[n,r]=e.dims.slice(-2),i=r/n;return r>=n?(r=Math.ceil(r/t)*t,n=Math.floor(r/i),n=Math.ceil(n/t)*t):(n=Math.ceil(n/t)*t,r=Math.floor(n*i),r=Math.ceil(r/t)*t),{height:n,width:r}}async _call(e,{do_image_splitting:t=null,return_row_col_info:n=!1}={}){let r;if(!Array.isArray(e))r=[[e]];else{if(e.length===0||!e[0])throw Error(`No images provided.`);r=Array.isArray(e[0])?e:[e]}let i=[],a=[],o=[],s=[],c=[];for(let e of r){let n=await Promise.all(e.map(e=>this.preprocess(e)));s.push(...n.map(e=>e.original_size)),c.push(...n.map(e=>e.reshaped_input_size)),n.forEach(e=>e.pixel_values.unsqueeze_(0));let{longest_edge:r}=this.max_image_size,l;if(t??this.do_image_splitting){let e=Array(n.length),t=Array(n.length);l=await Promise.all(n.map(async(n,i)=>{let a=this.get_resize_for_vision_encoder(n.pixel_values,r),o=await Rl(n.pixel_values,{size:[a.height,a.width]}),{frames:s,num_splits_h:c,num_splits_w:l}=await this.split_image(o,this.max_image_size);return e[i]=c,t[i]=l,ql(s,0)})),a.push(e),o.push(t)}else{let e=[r,r];l=await Promise.all(n.map(t=>Rl(t.pixel_values,{size:e}))),a.push(Array(n.length).fill(0)),o.push(Array(n.length).fill(0))}i.push(ql(l,0))}let l=i.length,[u,d,f,p]=i[0].dims,m,h;if(l===1)m=i[0].unsqueeze_(0),h=eu([l,u,f,p],!0);else{let e=Math.max(...i.map(e=>e.dims.at(0)));h=eu([l,e,f,p],!0);let t=h.data,n=e*f*p;for(let r=0;rn||o>r){s=Math.ceil(a/n),c=Math.ceil(o/r);let t=Math.ceil(a/s),l=Math.ceil(o/c);for(let n=0;ne*this.rescale_factor)}pad_image(e,t,n,r){return super.pad_image(e,t,n,{constant_values:this.constant_values,center:!0,...r})}},gp=class extends Bf{constructor(e){let{resize_mode:t,fill_color:n,interpolation:r,size:i,...a}=e,o=t===`squash`?{width:i,height:i}:t===`shortest`?{shortest_edge:i}:{longest_edge:i},s=r===`bicubic`?3:2;super({...a,size:o,resample:s,do_center_crop:!0,crop_size:i,do_normalize:!0})}};function _p(e,t){return Math.round(e/t)*t}function vp(e,t,n,r,i){let a=1/0,o=[1,1],s=n*r;for(let n of t){let t=Math.abs(e-n[0]/n[1]);t.5*i*i*n[0]*n[1]&&(o=n)}return o}function yp(e,t){let n=[],r=new Set;for(let i=e;i<=t;++i)for(let a=1;a<=i;++a)for(let o=1;o<=i;++o){let i=a*o;if(i>=e&&i<=t){let e=a<<16|o;r.has(e)||(r.add(e),n.push([a,o]))}}return n.sort((e,t)=>e[0]*e[1]-t[0]*t[1])}function bp(e,t){let[n,r,i,a]=e.dims,o=Math.floor(i/t),s=Math.floor(a/t),c=t*t*r,l=e.data,u=new Float32Array(n*o*s*c),d=i*a;for(let e=0;ethis.max_image_tokens*(this.encoder_patch_size*this.downsample_factor)**2*this.max_pixels_tolerance}_get_grid_layout(e,t){let n=yp(this.min_tiles,this.max_tiles),[r,i]=vp(t/e,n,t,e,this.tile_size);return{grid_width:r,grid_height:i,target_width:this.tile_size*r,target_height:this.tile_size*i}}async _call(e,{return_row_col_info:t=null}={}){let n;n=Array.isArray(e)?Array.isArray(e[0])?e:[e]:[[e]];let r=[],i=[],a=[],o=[],s=[],c=[];for(let e of n){let t=await Promise.all(e.map(e=>this.preprocess(e,{do_pad:!1})));for(let{pixel_values:e}of t){let[,t,n]=e.dims,l=e.unsqueeze_(0),u=this.encoder_patch_size*this.downsample_factor,d=u**2,[f,p]=Lf(Math.max(u,t),Math.max(u,n),u,this.min_image_tokens*d,this.max_image_tokens*d).map(e=>Math.max(u,e)),m,h=1,g=1,_=this._is_image_too_large(t,n),v=this.do_image_splitting&&!(this.min_tiles===1&&this.max_tiles===1);if(_&&v){let{grid_width:e,grid_height:r,target_width:i,target_height:a}=this._get_grid_layout(t,n);h=r,g=e;let o=await Rl(l,{size:[a,i]});m=[];for(let t=0;t(e-this.image_mean[t])/this.image_std[t]);return super.pad_image(e,t,{width:s,height:o},{center:!0,constant_values:c,...r})}async _call(e,{num_crops:t=null}={}){if(this._num_crops=t??=this.config.num_crops,t<4||Gp(t)%1!=0)throw Error(`num_crops must be a square number >= 4`);Array.isArray(e)||(e=[e]);let n=e.length,r=await Promise.all(e.map(e=>this.preprocess(e))),i=r.map(e=>e.original_size),a=r.map(e=>e.reshaped_input_size),o=[];for(let{pixel_values:e}of r){e.unsqueeze_(0);let[n,r]=e.dims.slice(-2),i=await Rl(e,{size:[Vp,Vp],mode:`bicubic`});if(t>0){let a=[],s=Gp(t),c=Wp(r/s),l=Wp(n/s);for(let t=0;te.map(e=>Vp*Up(e/Vp)));return{pixel_values:s,original_sizes:i,reshaped_input_sizes:a,image_sizes:new A(`int64`,c.flat(),[n,2]),num_img_tokens:c.map(([e,t])=>this.calc_num_image_tokens_from_image_size(t,e))}}},qp=class extends Bf{get_resize_output_image_size(e,t){let{longest_edge:n}=t;if(n===void 0)throw Error(`size must contain 'longest_edge'`);let[r,i]=e.size,a=Math.max(r,i)/n,o=r,s=i;a>1&&(o=Math.floor(r/a),s=Math.floor(i/a));let{patch_size:c,spatial_merge_size:l}=this.config;if(!l)throw Error(`config must contain 'spatial_merge_size'`);let u=c*l,d=Math.floor((o-1)/u)+1,f=Math.floor((s-1)/u)+1;return[d*u,f*u]}},Jp=class extends Bf{},Yp=class extends Bf{post_process_object_detection(...e){return Mf(...e)}},Xp=class extends Bf{reshape_input_points(e,t,n,r=!1){e=structuredClone(e);let i=Ni(e);if(i.length===3)r||(i=[1,...i]),e=[e];else if(i.length!==4)throw Error("The input_points must be a 4D tensor of shape `batch_size`, `point_batch_size`, `nb_points_per_image`, `2`.");for(let r=0;re!==t.dims[n]))throw Error(`The first ${n.length} dimensions of 'input_points' and 'input_labels' must be the same.`);return new A(`int64`,e.flat(1/0).map(BigInt),n)}async _call(e,{input_points:t=null,input_labels:n=null,input_boxes:r=null}={}){let i=await super._call(e);if(t&&(i.input_points=this.reshape_input_points(t,i.original_sizes,i.reshaped_input_sizes)),n){if(!i.input_points)throw Error("`input_points` must be provided if `input_labels` are provided.");i.input_labels=this.add_input_labels(n,i.input_points)}return r&&(i.input_boxes=this.reshape_input_points(r,i.original_sizes,i.reshaped_input_sizes,!0)),i}async post_process_masks(e,t,n,{mask_threshold:r=0,binarize:i=!0,pad_size:a=null}={}){let o=[];a=a??this.pad_size??this.size;let s=[a.height,a.width];for(let a=0;ar&&(t[n]=1);u=new A(`bool`,t,u.dims)}o.push(u)}return o}generate_crop_boxes(e,t,{crop_n_layers:n=0,overlap_ratio:r=512/1500,points_per_crop:i=32,crop_n_points_downscale_factor:a=1}={}){}},Zp=class extends Bf{post_process_semantic_segmentation(...e){return Nf(...e)}},Qp=class extends Zp{},$p=class extends Bf{post_process_semantic_segmentation(...e){return Nf(...e)}},em=class extends $p{},tm=class extends Bf{},nm=class extends Bf{pad_image(e,t,n,r={}){let[i,a,o]=t;return super.pad_image(e,t,{width:a+(n-a%n)%n,height:i+(n-i%n)%n},{mode:`symmetric`,center:!1,constant_values:-1,...r})}},rm=class extends Bf{},im=class extends rm{},am=class extends Bf{async _call(e,t){Array.isArray(e)||(e=[e]),Array.isArray(t)||(t=[t]);let n=await Promise.all(e.map(e=>this.preprocess(e))),r=await Promise.all(t.map(e=>this.preprocess(e,{do_normalize:!1,do_convert_rgb:!1,do_convert_grayscale:!0})));return{pixel_values:Jl(n.map((e,t)=>ql([e.pixel_values,r[t].pixel_values],0)),0),original_sizes:n.map(e=>e.original_size),reshaped_input_sizes:n.map(e=>e.reshaped_input_size)}}},om=class extends Bf{post_process_pose_estimation(e,t,{threshold:n=null}={}){let r=e.tolist(),[i,a,o,s]=e.dims,c=[];for(let e=0;e/gm,bboxes:/([^<]+)?/gm},this.size_per_bin=1e3}construct_prompts(e){typeof e==`string`&&(e=[e]);let t=[];for(let n of e)if(this.task_prompts_without_inputs.has(n))t.push(this.task_prompts_without_inputs.get(n));else{for(let[e,r]of this.task_prompts_with_input)if(n.includes(e)){t.push(r.replaceAll(`{input}`,n).replaceAll(e,``));break}t.length!==e.length&&t.push(n)}return t}post_process_generation(e,t,n){let r=this.tasks_answer_post_processing_type.get(t)??`pure_text`;e=e.replaceAll(``,``).replaceAll(``,``);let i;switch(r){case`pure_text`:i=e;break;case`description_with_bboxes`:case`bboxes`:case`phrase_grounding`:case`ocr`:let a=r===`ocr`?`quad_boxes`:`bboxes`,o=e.matchAll(this.regexes[a]),s=[],c=[];for(let[e,t,...r]of o)s.push(t?t.trim():s.at(-1)??``),c.push(r.map((e,t)=>(Number(e)+.5)/this.size_per_bin*n[t%2]));i={labels:s,[a]:c};break;default:throw Error(`Task "${t}" (of type "${r}") not yet implemented.`)}return{[t]:i}}async _call(e,t=null,n={}){if(!e&&!t)throw Error(`Either text or images must be provided`);let r=await this.image_processor(e,n),i=t?this.tokenizer(this.construct_prompts(t),n):{};return{...r,...i}}},dm=class extends Cd{static tokenizer_class=_d;static image_processor_class=lm;static uses_processor_config=!0;static uses_chat_template_file=!0;constructor(e,t,n){super(e,t,n),this.image_seq_length=this.config.image_seq_length;let{boi_token:r,image_token:i,eoi_token:a}=this.tokenizer.config;this.boi_token=r,this.image_token=i,this.eoi_token=a,this.full_image_sequence=` + +${r}${i.repeat(this.image_seq_length)}${a} + +`}async _call(e,t=null,n={}){typeof e==`string`&&(e=[e]);let r;return t&&(r=await this.image_processor(t,n),e=e.map(e=>e.replaceAll(this.boi_token,this.full_image_sequence))),{...this.tokenizer(e,n),...r}}},fm=class extends Cd{static image_processor_class=lm;static feature_extractor_class=_f;static tokenizer_class=_d;static uses_processor_config=!0;static uses_chat_template_file=!0;constructor(e,t,n){super(e,t,n),this.audio_seq_length=this.config.audio_seq_length,this.image_seq_length=this.config.image_seq_length;let{audio_token_id:r,boa_token:i,audio_token:a,eoa_token:o,image_token_id:s,boi_token:c,image_token:l,eoi_token:u}=this.tokenizer.config;this.audio_token_id=r,this.boa_token=i,this.audio_token=a,this.full_audio_sequence=` + +${i}${a.repeat(this.audio_seq_length)}${o} + +`,this.image_token_id=s,this.boi_token=c,this.image_token=l,this.full_image_sequence=` + +${c}${l.repeat(this.image_seq_length)}${u} + +`}async _call(e,t=null,n=null,r={}){typeof e==`string`&&(e=[e]);let i;n&&(i=await this.feature_extractor(n,r),e=e.map(e=>e.replaceAll(this.audio_token,this.full_audio_sequence)));let a;return t&&(a=await this.image_processor(t,r),e=e.map(e=>e.replaceAll(this.image_token,this.full_image_sequence))),{...this.tokenizer(e,r),...a,...i}}},pm=class extends Cd{static uses_processor_config=!0;static uses_chat_template_file=!0;constructor(e,t,n){super(e,t,n),this.audio_ms_per_token=this.config.audio_ms_per_token??40,this.audio_seq_length=this.config.audio_seq_length??750,this.image_seq_length=this.config.image_seq_length??280;let{audio_token:r,boa_token:i,eoa_token:a,image_token:o,boi_token:s,eoi_token:c}=this.tokenizer.config;this.audio_token=r,this.boa_token=i,this.eoa_token=a,this.image_token=o,this.boi_token=s,this.eoi_token=c}static async from_pretrained(e,t={}){let[n,r,i]=await Promise.all([Rc(e,xd,!0,t),_d.from_pretrained(e,t),Lc(e,Sd,!1,t)]),a={tokenizer:r};return n.image_processor&&(a.image_processor=new lp(n.image_processor)),n.feature_extractor&&(a.feature_extractor=new of(n.feature_extractor)),new this(n,a,i)}_compute_audio_num_tokens(e,t){let n=Math.round(t*20/1e3),r=Math.round(t*10/1e3),i=Math.floor(n/2),a=Math.floor((e+i-n-1)/r)+1;if(a<=0)return 0;for(let e=0;e<2;++e)a=Math.floor((a-1)/2)+1;return Math.min(a,this.audio_seq_length)}async _call(e,t=null,n=null,r={}){typeof e==`string`&&(e=[e]);let i;if(t){i=await this.image_processor(t,r);let n=i.num_soft_tokens_per_image,a=0;e=e.map(e=>e.replaceAll(this.image_token,()=>` + +${this.boi_token}${this.image_token.repeat(n[a++])}${this.eoi_token} + +`))}let a;if(n){let t=Array.isArray(n)?n:[n];a=await this.feature_extractor(t[0],r);let i=this.feature_extractor.config.sampling_rate??16e3,o=0;e=e.map(e=>e.replaceAll(this.audio_token,()=>` + +${this.boa_token}${this.audio_token.repeat(this._compute_audio_num_tokens(t[o++].length,i))}${this.eoa_token} + +`))}return{...this.tokenizer(e,r),...i,...a}}},mm=class extends Cd{static image_processor_class=lm;static tokenizer_class=_d;static image_token=`<|image_pad|>`;async _call(e,t=null,...n){Array.isArray(e)||(e=[e]);let r,i;if(t&&(r=await this.image_processor(t),i=r.image_grid_thw),i){let t=this.image_processor.config.merge_size**2,n=0,r=this.constructor.image_token,a=i.tolist();e=e.map(e=>{for(;e.includes(r);){let i=Number(a[n++].reduce((e,t)=>e*t,1n));e=e.replace(r,`<|placeholder|>`.repeat(Math.floor(i/t)))}return e.replaceAll(`<|placeholder|>`,r)})}return{...this.tokenizer(e),...r}}},hm=class extends mm{static image_token=`<|image|>`},gm=class extends Cd{static tokenizer_class=_d;static feature_extractor_class=_f;static uses_processor_config=!0;_get_num_audio_features(e){let{hop_length:t}=this.feature_extractor.config.melspec_kwargs,{projector_window_size:n,projector_downsample_rate:r}=this.feature_extractor.config,i=Math.floor(n/r),a=Math.floor(e/t)+1,o=Math.floor(a/2);return Math.ceil(o/n)*i}async _call(e,t=null,n={}){if(Array.isArray(e))throw Error(`Batched inputs are not supported yet.`);let r={};if(t){let{input_features:n}=await this.feature_extractor(t);r.input_features=n;let i=this._get_num_audio_features(t.length);r.input_features_mask=new A(`bool`,new Uint8Array(i).fill(1),[1,i]);let a=this.config.audio_token??`<|audio|>`;if(!e.includes(a))throw Error(`The input text does not contain the audio token ${a}.`);e=e.replaceAll(a,a.repeat(i))}return{...this.tokenizer(e,{add_special_tokens:!1,...n}),...r}}};function _m(e,t){let n=e.dims.at(-1)-1,r=e.tolist();r.fill(!1,0,1),r.fill(!1,n);let i=t.tolist();return r.map((e,t)=>e?t:null).filter(e=>e!==null).map(e=>i[e])}var vm=class extends Cd{static tokenizer_class=_d;static image_processor_class=lm;async _call(e,t,n={}){let r=e?await this.image_processor(e,n):{};return{...t?this.tokenizer(t,n):{},...r}}post_process_grounded_object_detection(e,t,{box_threshold:n=.25,text_threshold:r=.25,target_sizes:i=null}={}){let{logits:a,pred_boxes:o}=e,s=a.dims[0];if(i!==null&&i.length!==s)throw Error(`Make sure that you pass in as many target sizes as the batch dimension of the logits`);let c=a.dims.at(1),l=a.sigmoid(),u=l.max(-1).tolist(),d=o.tolist().map(e=>e.map(e=>jf(e))),f=[];for(let e=0;ee.map((e,t)=>e*a[(t+1)%2])));let o=u[e],s=[],p=[],m=[];for(let i=0;i`+i.repeat(e);o+=` +`}return o+=` +${r}${a}`+i.repeat(e)+`${r}`,o}function bm(e,t,n,r){return`${t}${r}`+n.repeat(e)+`${t}`}function xm(e,t,n,r,i,a){return e===0&&t===0?bm(n,r,i,a):ym(n,e,t,r,i,a)}var Sm=class extends Cd{static image_processor_class=lm;static tokenizer_class=_d;static uses_processor_config=!0;fake_image_token=``;image_token=``;global_img_token=``;async _call(e,t=null,n={}){n.return_row_col_info??=!0;let r;t&&(r=await this.image_processor(t,n)),Array.isArray(e)||(e=[e]);let i=r.rows??[Array(e.length).fill(0)],a=r.cols??[Array(e.length).fill(0)],o=this.config.image_seq_len,s=[],c=[];for(let t=0;txm(e,l[t],o,this.fake_image_token,this.image_token,this.global_img_token)),d=n.split(this.image_token);if(d.length===0)throw Error(`The image token should be present in the text.`);let f=d[0];for(let e=0;ee.images).flatMap(e=>e.images).map(e=>Df.read(e)));let r=this.tokenizer,i=r.apply_chat_template(e,{tokenize:!1,add_generation_prompt:!0,chat_template:n}),a=e=>r.encode(e,{add_special_tokens:!1}),o=i.split(this.image_tag),s=o.length-1;if(t.length!==s)throw Error(`Number of images provided (${t.length}) does not match number of "${this.image_tag}" image tags (${s})`);let[c,l,u]=r.convert_tokens_to_ids([this.image_tag,this.image_start_tag,this.image_end_tag]),d=a(o[0]),f=Array(d.length).fill(!1);for(let e=1;e0){let e=await this.image_processor(t);return e.pixel_values.unsqueeze_(0),{...m,...e}}return m}},wm=class extends Cd{static tokenizer_class=_d;static image_processor_class=lm;async _call(e=null,t=null,n={}){if(!e&&!t)throw Error(`Either text or images must be provided`);let r=e?this.tokenizer(e,n):{},i=t?await this.image_processor(t,n):{};return{...r,...i}}},Tm=class extends Cd{static tokenizer_class=_d;static image_processor_class=lm;async _call(e,t=null,n={}){let{image_rows:r,image_cols:i,image_sizes:a,...o}=await this.image_processor(e,{...n,return_row_col_info:!0});if(t){let e=this.config.image_token??``,{tile_size:n=512,downsample_factor:o=2,encoder_patch_size:s=16,use_thumbnail:c=!0}=this.image_processor.config,l=e=>Math.ceil(Math.floor(e/s)/o),u=l(n)**2,d=this.config.image_start_token??`<|image_start|>`,f=this.config.image_end_token??`<|image_end|>`,p=this.config.image_thumbnail??`<|img_thumbnail|>`;Array.isArray(t)||(t=[t]);let m=0;t=t.map(t=>{let n=t.split(e);return n[0]+n.slice(1).map(t=>{let n=m++,[o,s]=a[n],h=r[n],g=i[n],_=l(o)*l(s),v=d;if(h>1||g>1){let t=e.repeat(u);for(let e=0;e`+t;c&&(v+=p+e.repeat(_))}else v+=e.repeat(_);return v+f+t}).join(``)})}return{...o,...t?this.tokenizer(t,n):{}}}},Em=class extends Cd{static tokenizer_class=_d;static image_processor_class=lm;static uses_processor_config=!0;async _call(e,t=null,n={}){let r=await this.image_processor(e,n);if(t){let[e,n]=r.pixel_values.dims.slice(-2),{image_token:i,patch_size:a,num_additional_image_tokens:o}=this.config,s=Math.floor(e/a)*Math.floor(n/a)+o;t=structuredClone(t),Array.isArray(t)||(t=[t]);for(let e=0;e0?i.reduce((e,t)=>e*t,1):0;c.push(n),s.push(a)}return[i(c),s]}char_decode(e){return this.char_tokenizer.batch_decode(e).map(e=>e.replaceAll(` `,``))}bpe_decode(e){return this.bpe_tokenizer.batch_decode(e)}wp_decode(e){return this.wp_tokenizer.batch_decode(e).map(e=>e.replaceAll(` `,``))}batch_decode([e,t,n]){let[r,i]=this._decode_helper(e,`char`),[a,o]=this._decode_helper(t,`bpe`),[s,c]=this._decode_helper(n,`wp`),l=[],u=[];for(let e=0;e`;function Mm(e,t,n,r,i){return`${r.repeat(n*i)}${t}${e} +`}var Nm=class extends Cd{static tokenizer_class=_d;static image_processor_class=lm;static uses_processor_config=!1;async _call(e,t=null,n={}){t||=(zi.warn(`You are using PaliGemma without a text prefix. It will perform as a picture-captioning model.`),``),Array.isArray(e)||(e=[e]),Array.isArray(t)||(t=[t]);let r=this.tokenizer.bos_token,i=this.image_processor.config.image_seq_length,a;t.some(e=>e.includes(jm))?a=t.map(e=>{let t=e.replaceAll(jm,jm.repeat(i)),n=t.lastIndexOf(jm),a=n===-1?0:n+jm.length;return t.slice(0,a)+r+t.slice(a)+` +`}):(zi.warn("You are passing both `text` and `images` to `PaliGemmaProcessor`. The processor expects special image tokens in the text, as many tokens as there are images per each text. It is recommended to add `` tokens in the very beginning of your text. For this call, we will infer how many images each text has and add special tokens."),a=t.map(t=>Mm(t,r,i,jm,e.length)));let o=this.tokenizer(a,n);return{...await this.image_processor(e,n),...o}}},Pm=`<|image|>`,Fm=/<\|image_\d+\|>/g,Im=class extends Cd{static image_processor_class=lm;static tokenizer_class=_d;async _call(e,t=null,{padding:n=!0,truncation:r=!0,num_crops:i=null}={}){Array.isArray(e)||(e=[e]);let a,o;if(t){o=await this.image_processor(t,{num_crops:i});let{num_img_tokens:s}=o,c=e.map((e,t)=>e.split(Fm).join(Pm.repeat(s[t])));a=this.tokenizer(c,{padding:n,truncation:r});let l=this.tokenizer._tokenizer.token_to_id(Pm);a.input_ids.map_(e=>e==l?-e:e)}else a=this.tokenizer(e);return{...a,...o}}},Lm=class extends Cd{static tokenizer_class=_d;static image_processor_class=lm;static uses_processor_config=!0;async _call(e,t=null,n={}){let r=await this.image_processor(e,n);if(t){let[e,n]=r.pixel_values.dims.slice(-2),{image_token:i,image_break_token:a,image_end_token:o,patch_size:s,spatial_merge_size:c}=this.config,l=s*c,u=Math.floor(e/l),d=Math.floor(n/l);t=structuredClone(t),Array.isArray(t)||(t=[t]);for(let e=0;eYm(e,o)),c=s.map(e=>e.length),l=s.flat(),u=(await Promise.all(l.map(e=>this.feature_extractor(e,n)))).map(e=>e.input_features);r.audio_values=u.length>1?ql(u,0):u[0];let d=i[0];for(let e=0;e0){if(l>lc)throw Error(`The number of external data chunks (${l}) exceeds the maximum allowed value (${lc}).`);let t=mh(o,l);for(let n of t){let t=`${r.subfolder??``}/${n}`;c.push(new Promise(async(i,a)=>{let o=await Ic(e,t,!0,r,s);i(o instanceof Uint8Array?{path:n,data:o}:n)}))}}else a.externalData!==void 0&&(c=a.externalData.map(async t=>{if(typeof t.data==`string`){let n=await Ic(e,t.data,!0,r);return{...t,data:n}}return t}));return Promise.all(c)}async function _h(e,t,n,r=!1,i=void 0){let a=n.config?.[`transformers.js_config`]??{},o=Dl(n.device??a.device,t,{warn:e=>zi.info(e)}),s=pl(o),c=a.device_config??{};c.hasOwnProperty(o)&&(a={...a,...c[o]});let l=Nl(n.dtype??a.dtype,t,o,{configDtype:a.dtype,warn:e=>zi.info(e)});if(!Ml.hasOwnProperty(l))throw Error(`Invalid dtype: ${l}. Should be one of: ${Object.keys(kl).join(`, `)}`);if(o===`webgpu`&&!_i.IS_NODE_ENV&&l===kl.fp16&&!await Ol())throw Error(`The device (${o}) does not support fp16.`);let u=a.kv_cache_dtype,d=u?typeof u==`string`?u:u[l]??`float32`:void 0;if(d&&![`float32`,`float16`].includes(d))throw Error(`Invalid kv_cache_dtype: ${d}. Should be one of: float32, float16`);let f=Ml[l],p={...n.session_options};p.executionProviders??=s;let m=a.free_dimension_overrides;m?p.freeDimensionOverrides??=m:o.startsWith(`webnn`)&&!p.freeDimensionOverrides&&zi.warn(`WebNN does not currently support dynamic shapes and requires 'free_dimension_overrides' to be set in config.json, preferably as a field within config["transformers.js_config"]["device_config"]["${o}"]. When 'free_dimension_overrides' is not set, you may experience significant performance degradation.`);let h=hh(e,t,n,f),g=await gh(e,t,f,n,n.use_external_data_format??a.use_external_data_format,p);if(g.length>0&&(!_i.IS_NODE_ENV||g.some(e=>typeof e!=`string`))&&(p.externalData=g),r&&o===`webgpu`&&u!==!1){let e=lh(n.config,{prefix:`present`,session_name:i});if(Object.keys(e).length>0&&!Sl()){let t={};for(let n in e)t[n]=`gpu-buffer`;p.preferredOutputLocation=t}}return{buffer_or_path:await h,session_options:p,session_config:{dtype:l,kv_cache_dtype:d,device:o}}}async function vh(e,t,n,r=void 0){return Object.fromEntries(await Promise.all(Object.keys(t).map(async i=>{let a=r?.[i]??!1,{buffer_or_path:o,session_options:s,session_config:c}=await _h(e,t[i],n,a,i);return[i,await _l(o,s,c)]})))}function yh(e){for(let t in e)bl(e[t])?e[t]=new A(e[t]):typeof e[t]==`object`&&yh(e[t]);return e}async function bh(e,t){let n=xh(e,t);try{return yh(await yl(e,Object.fromEntries(Object.entries(n).map(([e,t])=>{let n=t.ort_tensor;return _i.IS_NODE_ENV&&typeof Float16Array<`u`&&n.cpuData instanceof Float16Array&&(n.cpuData=new Uint16Array(n.cpuData.buffer)),[e,n]}))))}catch(e){let t=Object.fromEntries(Object.entries(n).map(([e,t])=>{let n={type:t.type,dims:t.dims,location:t.location};return n.location!==`gpu-buffer`&&(n.data=t.data),[e,n]}));throw zi.error(`An error occurred during model execution: "${e}".`),zi.error(`Inputs given to model:`,t),e}}function xh(e,t){let n=Object.create(null),r=[];for(let i of e.inputNames){let e=t[i];if(!(e instanceof A)){r.push(i);continue}n[i]=Sl()?e.clone():e}if(r.length>0)throw Error(`An error occurred during model execution: "Missing the following inputs: ${r.join(`, `)}.`);let i=Object.keys(t).length,a=e.inputNames.length;if(i>a){let n=Object.keys(t).filter(t=>!e.inputNames.includes(t));zi.warn(`WARNING: Too many inputs were provided (${i} > ${a}). 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Promise.all(e)}},j={EncoderOnly:0,EncoderDecoder:1,Seq2Seq:2,Vision2Seq:3,DecoderOnly:4,DecoderOnlyWithoutHead:5,MaskGeneration:6,ImageTextToText:7,Musicgen:8,MultiModality:9,Phi3V:10,AudioTextToText:11,AutoEncoder:12,ImageAudioTextToText:13,Supertonic:14,Chatterbox:15,VoxtralRealtime:16},tg={[j.DecoderOnly]:{sessions:(e,t)=>({model:t.model_file_name??`model`}),cache_sessions:{model:!0},optional_configs:{generation_config:`generation_config.json`}},[j.DecoderOnlyWithoutHead]:{sessions:(e,t)=>({model:t.model_file_name??`model`})},[j.Seq2Seq]:{sessions:()=>({model:`encoder_model`,decoder_model_merged:`decoder_model_merged`}),cache_sessions:{decoder_model_merged:!0},optional_configs:{generation_config:`generation_config.json`}},[j.Vision2Seq]:{sessions:()=>({model:`encoder_model`,decoder_model_merged:`decoder_model_merged`}),cache_sessions:{decoder_model_merged:!0},optional_configs:{generation_config:`generation_config.json`}},[j.Musicgen]:{sessions:()=>({model:`text_encoder`,decoder_model_merged:`decoder_model_merged`,encodec_decode:`encodec_decode`}),cache_sessions:{decoder_model_merged:!0},optional_configs:{generation_config:`generation_config.json`}},[j.EncoderDecoder]:{sessions:()=>({model:`encoder_model`,decoder_model_merged:`decoder_model_merged`}),cache_sessions:{decoder_model_merged:!0}},[j.MaskGeneration]:{sessions:()=>({model:`vision_encoder`,prompt_encoder_mask_decoder:`prompt_encoder_mask_decoder`})},[j.ImageTextToText]:{text_only_sessions:{embed_tokens:`embed_tokens`,decoder_model_merged:`decoder_model_merged`},sessions:(e,t,n)=>{let 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Falling back to EncoderOnly (single model.onnx file). 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Please report this at ${vd}.`)}if(t&&!(t instanceof Ai)){let r={};try{let t=await ag(e,{config:n,dtype:l,device:c,model_file_name:o});(await Promise.all(t.map(t=>Dc(e,t,f)))).forEach((e,n)=>{if(e.exists){let i=t[n]===`config.json`;r[t[n]]={loaded:i?e.size??0:0,total:e.size??0}}})}catch(e){zi.warn(`Unable to fetch model file metadata for total progress tracking: ${e}`)}Object.keys(r).length>0&&(f.progress_callback=new Ai(t,r))}let _=[vh(e,m.sessions(n,f,h),f,m.cache_sessions)];m.optional_configs&&_.push(Ag(e,m.optional_configs,f));let v=await Promise.all(_);return new this(n,...v)}async _call(e){return await this.forward(e)}async forward(e){return await this._forward(this,e)}get generation_config(){return this.configs?.generation_config??null}_get_logits_processor(e,t,n=null){let r=new jh;if(e.repetition_penalty!==null&&e.repetition_penalty!==1&&r.push(new Rh(e.repetition_penalty)),e.no_repeat_ngram_size!==null&&e.no_repeat_ngram_size>0&&r.push(new Lh(e.no_repeat_ngram_size)),e.bad_words_ids!==null&&r.push(new Vh(e.bad_words_ids,e.eos_token_id)),e.min_length!==null&&e.eos_token_id!==null&&e.min_length>0&&r.push(new zh(e.min_length,e.eos_token_id)),e.min_new_tokens!==null&&e.eos_token_id!==null&&e.min_new_tokens>0&&r.push(new Bh(t,e.min_new_tokens,e.eos_token_id)),e.forced_bos_token_id!==null&&r.push(new Mh(e.forced_bos_token_id)),e.forced_eos_token_id!==null&&r.push(new Nh(e.max_length,e.forced_eos_token_id)),e.suppress_tokens!==null&&r.push(new Ph(e.suppress_tokens)),e.begin_suppress_tokens!==null){let n=t>1||e.forced_bos_token_id===null?t:t+1;r.push(new Fh(e.begin_suppress_tokens,n))}return e.guidance_scale!==null&&e.guidance_scale>1&&r.push(new Hh(e.guidance_scale)),e.temperature===0&&e.do_sample&&(zi.warn("`do_sample` changed to false because `temperature: 0` implies greedy sampling (always selecting the most likely token), which is incompatible with `do_sample: true`."),e.do_sample=!1),e.do_sample&&e.temperature!==null&&e.temperature!==1&&r.push(new Uh(e.temperature)),n!==null&&r.extend(n),r}_prepare_generation_config(e,t,n=Wh){let r={...this.config};for(let e of[`decoder`,`generator`,`text_config`])e in r&&Object.assign(r,r[e]);let i=new n(r);return Object.assign(i,this.generation_config??{}),e&&Object.assign(i,e),t&&Object.assign(i,Li(t,Object.getOwnPropertyNames(i))),i}_get_stopping_criteria(e,t=null){let n=new Kh;return e.max_length!==null&&n.push(new qh(e.max_length,this.config.max_position_embeddings??null)),e.eos_token_id!==null&&n.push(new Jh(e.eos_token_id)),t&&n.extend(t),n}_validate_model_class(){if(!this.can_generate){let e=[og.MODEL_FOR_CAUSAL_LM_MAPPING_NAMES,og.MODEL_FOR_VISION_2_SEQ_MAPPING_NAMES,og.MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING_NAMES,og.MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING_NAMES].filter(Boolean),t=mg.get(this.constructor),n=new Set,r=this.config.model_type;for(let t of e){let e=t?.get(r);e&&n.add(e)}let i=`The current model class (${t}) is not compatible with \`.generate()\`, as it doesn't have a language model head.`;throw n.size>0&&(i+=` Please use the following class instead: ${[...n].join(`, `)}`),Error(i)}}prepare_inputs_for_generation(...e){if(!this._prepare_inputs_for_generation)throw Error(`prepare_inputs_for_generation is not implemented for this model.`);return this._prepare_inputs_for_generation(this,...e)}_update_model_kwargs_for_generation({generated_input_ids:e,outputs:t,model_inputs:n,is_encoder_decoder:r}){return n.past_key_values=this.getPastKeyValues(t,n.past_key_values),n.input_ids=new A(`int64`,e.flat(),[e.length,1]),r?`decoder_attention_mask`in n&&(n.decoder_attention_mask=ql([n.decoder_attention_mask,nu([n.decoder_attention_mask.dims[0],1])],1)):n.attention_mask=ql([n.attention_mask,nu([n.attention_mask.dims[0],1])],1),n.position_ids=null,n}_prepare_model_inputs({inputs:e,bos_token_id:t,model_kwargs:n}){let r=Li(n,this.forward_params),i=this.main_input_name;if(i in r){if(e)throw Error("`inputs`: {inputs}` were passed alongside {input_name} which is not allowed. Make sure to either pass {inputs} or {input_name}=...")}else r[i]=e;return{inputs_tensor:r[i],model_inputs:r,model_input_name:i}}async _prepare_encoder_decoder_kwargs_for_generation({inputs_tensor:e,model_inputs:t,model_input_name:n,generation_config:r}){if(this.sessions.model.inputNames.includes(`inputs_embeds`)&&!t.inputs_embeds&&`_prepare_inputs_embeds`in this){let{input_ids:e,pixel_values:n,attention_mask:r,...i}=t,a=await this._prepare_inputs_embeds(t);t={...i,...Li(a,[`inputs_embeds`,`attention_mask`])}}let{last_hidden_state:i}=await gg(this,t);if(r.guidance_scale!==null&&r.guidance_scale>1)i=ql([i,tu(i,0)],0),`attention_mask`in t&&(t.attention_mask=ql([t.attention_mask,au(t.attention_mask)],0));else if(t.decoder_input_ids){let e=cg(t.decoder_input_ids).dims[0];if(e!==i.dims[0]){if(i.dims[0]!==1)throw Error(`The encoder outputs have a different batch size (${i.dims[0]}) than the decoder inputs (${e}).`);i=ql(Array.from({length:e},()=>i),0)}}return t.encoder_outputs=i,t}_prepare_decoder_input_ids_for_generation({batch_size:e,model_input_name:t,model_kwargs:n,decoder_start_token_id:r,bos_token_id:i,generation_config:a}){let{decoder_input_ids:o,...s}=n;if(!(o instanceof A)){if(o)Array.isArray(o[0])||(o=Array.from({length:e},()=>o));else if(r??=i,this.config.model_type===`musicgen`)o=Array.from({length:e*this.config.decoder.num_codebooks},()=>[r]);else if(Array.isArray(r)){if(r.length!==e)throw Error(`\`decoder_start_token_id\` expcted to have length ${e} but got ${r.length}`);o=r}else o=Array.from({length:e},()=>[r]);o=cg(o)}return s.decoder_attention_mask=ru(o),{input_ids:o,model_inputs:s}}async generate({inputs:e=null,generation_config:t=null,logits_processor:n=null,stopping_criteria:r=null,streamer:i=null,...a}){this._validate_model_class(),t=this._prepare_generation_config(t,a);let{inputs_tensor:o,model_inputs:s,model_input_name:c}=this._prepare_model_inputs({inputs:e,model_kwargs:a}),l=this.config.is_encoder_decoder;l&&(`encoder_outputs`in s||(s=await this._prepare_encoder_decoder_kwargs_for_generation({inputs_tensor:o,model_inputs:s,model_input_name:c,generation_config:t})));let u;l?{input_ids:u,model_inputs:s}=this._prepare_decoder_input_ids_for_generation({batch_size:s[c].dims.at(0),model_input_name:c,model_kwargs:s,decoder_start_token_id:t.decoder_start_token_id,bos_token_id:t.bos_token_id,generation_config:t}):u=s[c];let d=u.dims.at(-1);t.max_new_tokens!==null&&(t.max_length=d+t.max_new_tokens);let f=this._get_logits_processor(t,d,n),p=this._get_stopping_criteria(t,r),m=s[c].dims.at(0),h=Xh.getSampler(t),g=Array(m).fill(0),_=u.tolist();i&&i.put(_);let v,y={},b={};for(;;){if(s=this.prepare_inputs_for_generation(_,s,t),v=await this.forward(s),t.return_dict_in_generate)if(t.output_attentions){let e=this.getAttentions(v);for(let t in e)t in y||(y[t]=[]),y[t].push(e[t])}else this._return_dict_in_generate_keys&&Object.assign(b,Li(v,this._return_dict_in_generate_keys));let e=f(_,v.logits.slice(null,-1,null).to(`float32`)),n=[];for(let t=0;te))break;s=this._update_model_kwargs_for_generation({generated_input_ids:n,outputs:v,model_inputs:s,is_encoder_decoder:l})}i&&i.end();let x=this.getPastKeyValues(v,s.past_key_values,!0),S=new A(`int64`,_.flat(),[_.length,_[0].length]);if(t.return_dict_in_generate)return{sequences:S,past_key_values:x,...y,...b};for(let e of Object.values(v))e.location===`gpu-buffer`&&e.dispose();return S}getPastKeyValues(e,t,n=!1){let r=Object.create(null);for(let i in e)if(i.startsWith(`present`)){let a=i.replace(`present_ssm`,`past_ssm`).replace(`present_conv`,`past_conv`).replace(`present_recurrent`,`past_recurrent`).replace(`present`,`past_key_values`),o=i.includes(`encoder`);if(o&&t?r[a]=t[a]:r[a]=e[i],t&&(!o||n)){let e=t[a];e.location===`gpu-buffer`&&e.dispose()}}return new eg(r)}getAttentions(e){let t={};for(let n of[`cross_attentions`,`encoder_attentions`,`decoder_attentions`])for(let r in e)r.startsWith(n)&&(n in t||(t[n]=[]),t[n].push(e[r]));return t}addPastKeyValues(e,t){if(t)Object.assign(e,t);else{let t=this.sessions.decoder_model_merged??this.sessions.model,n=(e[this.main_input_name]??e.attention_mask)?.dims?.[0]??1,r=t?.config?.kv_cache_dtype??`float32`,i=r===`float16`?Pl.float16:Pl.float32,a=lh(this.config,{batch_size:n});for(let t in a)e[t]=new A(r,new i(a[t].reduce((e,t)=>e*t,1)),a[t])}}async _encode_input(e,t,n){if(!Object.hasOwn(this.sessions,e))throw Error(`Model does not have a ${e} session.`);let r=this.sessions[e];return(await bh(r,Li(t,r.inputNames)))[n]}async encode_image(e){return this._encode_input(`vision_encoder`,e,`image_features`)}async encode_text(e){return this._encode_input(`embed_tokens`,e,`inputs_embeds`)}async encode_audio(e){return this._encode_input(`audio_encoder`,e,`audio_features`)}};async function hg(e,t){let{encoder_outputs:n,input_ids:r,decoder_input_ids:i,decoder_attention_mask:a,...o}=t;return n||=(await gg(e,Li(t,e.sessions.model.inputNames))).last_hidden_state,o.input_ids=i,o.encoder_hidden_states=n,e.sessions.decoder_model_merged.inputNames.includes(`encoder_attention_mask`)&&(o.encoder_attention_mask=t.attention_mask),a&&!o.attention_mask&&(o.attention_mask=a),await vg(e,o,!0)}async function gg(e,t){let n=e.sessions.model,r=Li(t,n.inputNames);if(n.inputNames.includes(`inputs_embeds`)&&!r.inputs_embeds){if(!t.input_ids)throw Error("Both `input_ids` and `inputs_embeds` are missing in the model inputs.");r.inputs_embeds=await e.encode_text({input_ids:t.input_ids})}if(n.inputNames.includes(`token_type_ids`)&&!r.token_type_ids){if(!r.input_ids)throw Error("Both `input_ids` and `token_type_ids` are missing in the model inputs.");r.token_type_ids=au(r.input_ids)}if(n.inputNames.includes(`pixel_mask`)&&!r.pixel_mask){if(!r.pixel_values)throw Error("Both `pixel_values` and `pixel_mask` are missing in the model inputs.");let e=r.pixel_values.dims;r.pixel_mask=nu([e[0],e[2],e[3]])}return await bh(n,r)}async function _g(e,t){let n=await e.encode(t);return await e.decode(n)}async function vg(e,t,n=!1){let r=e.sessions[n?`decoder_model_merged`:`model`],{past_key_values:i,...a}=t;return r.inputNames.includes(`use_cache_branch`)&&(a.use_cache_branch=lg(!!i)),r.inputNames.includes(`position_ids`)&&a.attention_mask&&!a.position_ids&&(a.position_ids=Cg(a,i,[`paligemma`,`gemma3_text`,`gemma3`].includes(e.config.model_type)?1:0)),r.inputNames.includes(`num_logits_to_keep`)&&!a.num_logits_to_keep&&(a.num_logits_to_keep=new A(`int64`,[0n],[])),e.addPastKeyValues(a,i),await bh(r,Li(a,r.inputNames))}async function yg(e,{encode_function:t,merge_function:n,modality_input_names:r,modality_output_name:i,input_ids:a=null,attention_mask:o=null,position_ids:s=null,inputs_embeds:c=null,past_key_values:l=null,generation_config:u=null,logits_processor:d=null,...f}){if(!c){c=await e.encode_text({input_ids:a,...f});let s=Li(f,r);if(Object.keys(s).length>0){if(a.dims[1]!==1){let e=await t({...s,...f});({inputs_embeds:c,attention_mask:o}=n({[i]:e,inputs_embeds:c,input_ids:a,attention_mask:o}))}else if(l&&a.dims[1]===1){let e=a.dims[1],t=l.get_seq_length();o=ql([nu([a.dims[0],t]),o.slice(null,[o.dims[1]-e,o.dims[1]])],1)}}}if(!s&&[`qwen2_vl`,`qwen2_vl_text`,`qwen2_5_vl`,`qwen2_5_vl_text`,`qwen3_vl`,`qwen3_vl_text`,`qwen3_vl_moe`,`qwen3_vl_moe_text`,`qwen3_5`,`qwen3_5_text`,`qwen3_5_moe`,`qwen3_5_moe_text`,`glm_ocr`,`glm_ocr_text`].includes(e.config.model_type)){let{image_grid_thw:t,video_grid_thw:n}=f;[s]=e.get_rope_index(a,t,n,o)}return await vg(e,{inputs_embeds:c,past_key_values:l,attention_mask:o,position_ids:s,generation_config:u,logits_processor:d},!0)}async function bg(e,t){return await yg(e,{...t,modality_input_names:[`audio_values`,`input_features`],modality_output_name:`audio_features`,encode_function:e.encode_audio.bind(e),merge_function:e._merge_input_ids_with_audio_features.bind(e)})}async function xg(e,t){return await 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Mg=class extends M{},Ng=class extends Mg{},Pg=class extends Mg{async _call(e){return new Ch(await super._call(e))}},Fg=class extends Mg{async _call(e){return new Eh(await super._call(e))}},Ig=class extends Mg{async _call(e){return new Th(await super._call(e))}},Lg=class extends M{},Rg=class extends Lg{},zg=class extends Lg{},Bg=class extends M{},Vg=class extends Bg{},Hg=class extends Bg{},Ug=class extends M{},Wg=class extends Ug{},Gg=class extends Ug{},Kg=class extends M{},qg=class extends Kg{},Jg=class extends Kg{},Yg=class extends M{},Xg=class extends Yg{},Zg=class extends Yg{},Qg=class extends Yg{async _call(e){return new Ch(await super._call(e))}},$g=class extends M{},e_=class extends $g{},t_=class extends $g{async _call(e){return new Ch(await super._call(e))}},n_=class extends M{},r_=class extends n_{},i_=class extends n_{async _call(e){return new Th(await super._call(e))}},a_=class extends n_{async _call(e){return new Ch(await super._call(e))}},o_=class extends n_{async 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M{forward_params=[`input_ids`,`inputs_embeds`,`attention_mask`,`position_ids`,`audio_values`,`exaggeration`,`audio_features`,`audio_tokens`,`speaker_embeddings`,`speaker_features`,`past_key_values`];main_input_name=`input_ids`;_return_dict_in_generate_keys=[`audio_tokens`,`speaker_embeddings`,`speaker_features`]},E_=class extends T_{async encode_speech(e){return bh(this.sessions.speech_encoder,{audio_values:e})}async forward({input_ids:e=null,attention_mask:t=null,audio_values:n=null,exaggeration:r=null,position_ids:i=null,inputs_embeds:a=null,past_key_values:o=null,generation_config:s=null,logits_processor:c=null,audio_features:l=null,audio_tokens:u=null,speaker_embeddings:d=null,speaker_features:f=null,...p}){let m;if(!a){let s=this.sessions.embed_tokens.inputNames,c={input_ids:e};if(s.includes(`exaggeration`)){if(!(r instanceof A)){let t=e.dims[0];if(r==null)r=eu([t],.5);else if(typeof r==`number`)r=eu([t],r);else if(Array.isArray(r))r=new A(`float32`,r,[t]);else throw 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Vy{async _call(e){return new wh(await super._call(e))}},Ky=class extends M{},qy=class extends Ky{},Jy=class extends Ky{},Yy=class extends M{},Xy=class extends Yy{},Zy=class extends Yy{},Qy=class extends M{},$y=class extends Qy{},eb=class extends Qy{},tb=class extends M{},nb=class extends tb{},rb=class extends tb{async _call(e){return new Ch(await super._call(e))}},ib=class extends M{forward_params=[`input_ids`,`inputs_embeds`,`attention_mask`,`pixel_values`,`encoder_outputs`,`decoder_input_ids`,`decoder_inputs_embeds`,`decoder_attention_mask`,`past_key_values`];main_input_name=`inputs_embeds`},ab=class extends ib{_merge_input_ids_with_image_features({inputs_embeds:e,image_features:t,input_ids:n,attention_mask:r}){return{inputs_embeds:ql([t,e],1),attention_mask:ql([nu(t.dims.slice(0,2)),r],1)}}async _prepare_inputs_embeds({input_ids:e,pixel_values:t,inputs_embeds:n,attention_mask:r}){if(!e&&!t)throw Error("Either `input_ids` or `pixel_values` should be provided.");let i,a;return e&&(i=await this.encode_text({input_ids:e})),t&&(a=await this.encode_image({pixel_values:t})),i&&a?{inputs_embeds:n,attention_mask:r}=this._merge_input_ids_with_image_features({inputs_embeds:i,image_features:a,input_ids:e,attention_mask:r}):n=i||a,{inputs_embeds:n,attention_mask:r}}async forward({input_ids:e,pixel_values:t,attention_mask:n,decoder_input_ids:r,decoder_attention_mask:i,encoder_outputs:a,past_key_values:o,inputs_embeds:s,decoder_inputs_embeds:c}){if(s||({inputs_embeds:s,attention_mask:n}=await this._prepare_inputs_embeds({input_ids:e,pixel_values:t,inputs_embeds:s,attention_mask:n})),!a){let{last_hidden_state:e}=await gg(this,{inputs_embeds:s,attention_mask:n});a=e}if(!c){if(!r)throw Error("Either `decoder_input_ids` or `decoder_inputs_embeds` should be provided.");c=await this.encode_text({input_ids:r})}return await vg(this,{inputs_embeds:c,attention_mask:i,encoder_attention_mask:n,encoder_hidden_states:a,past_key_values:o},!0)}},ob=class extends M{},sb=class extends ob{},cb=class extends ob{},lb=class extends M{},ub=class extends lb{},db=class extends lb{},fb=class extends M{forward_params=[`input_ids`,`attention_mask`,`pixel_values`,`position_ids`,`past_key_values`]},pb=class extends fb{_merge_input_ids_with_image_features(e){let t=e.image_features.dims.at(-1),n=e.image_features.view(-1,t);return Og({image_token_id:this.config.image_token_index??this.config.image_token_id,...e,image_features:n})}},mb=class extends pb{},hb=class extends pb{},gb=class extends M{},_b=class extends gb{},vb=class extends pb{},yb=class extends vb{},bb=class extends M{forward_params=[`input_ids`,`attention_mask`,`inputs_embeds`,`per_layer_inputs`,`position_ids`,`pixel_values`,`input_features`,`input_features_mask`,`past_key_values`]},xb=class extends bb{async forward({input_ids:e=null,attention_mask:t=null,pixel_values:n=null,input_features:r=null,input_features_mask:i=null,position_ids:a=null,inputs_embeds:o=null,per_layer_inputs:s=null,past_key_values:c=null,generation_config:l=null,logits_processor:u=null,...d}){if((!o||!s)&&({inputs_embeds:o,per_layer_inputs:s}=await bh(this.sessions.embed_tokens,{input_ids:e}),e.dims[1]!==1)){if(n){let{image_features:r}=await this._encode_vision({pixel_values:n,...d});({inputs_embeds:o,attention_mask:t}=this._merge_input_ids_with_image_features({image_features:r,inputs_embeds:o,input_ids:e,attention_mask:t}))}if(r){let{audio_features:n}=await bh(this.sessions.audio_encoder,{input_features:r,input_features_mask:i});({inputs_embeds:o,attention_mask:t}=this._merge_input_ids_with_audio_features({audio_features:n,inputs_embeds:o,input_ids:e,attention_mask:t}))}}return await vg(this,{inputs_embeds:o,per_layer_inputs:s,past_key_values:c,attention_mask:t,position_ids:a,generation_config:l,logits_processor:u},!0)}_encode_vision(e){return bh(this.sessions.vision_encoder,{pixel_values:e.pixel_values})}_merge_input_ids_with_image_features(e){let t=e.image_features.dims.at(-1),n=e.image_features.view(-1,t);return Og({image_token_id:this.config.image_token_id,...e,image_features:n})}_merge_input_ids_with_audio_features(e){let t=e.audio_features.dims.at(-1),n=e.audio_features.view(-1,t);return kg({audio_token_id:this.config.audio_token_id,...e,audio_features:n})}},Sb=class extends xb{},Cb=class extends xb{forward_params=[`input_ids`,`attention_mask`,`inputs_embeds`,`per_layer_inputs`,`position_ids`,`pixel_values`,`image_position_ids`,`input_features`,`input_features_mask`,`past_key_values`];_encode_vision(e){return bh(this.sessions.vision_encoder,{pixel_values:e.pixel_values,pixel_position_ids:e.image_position_ids})}},wb=class extends Cb{},Tb=class extends M{},Eb=class extends Tb{},Db=class extends Tb{},Ob=class extends M{},kb=class extends Ob{},Ab=class extends Ob{},jb=class extends M{forward_params=[`input_ids`,`attention_mask`,`position_ids`,`past_key_values`,`pixel_values`,`image_grid_thw`]},Mb=class extends jb{image_grid_thw_name=`grid_thw`;_get_text_only_rope_index(e,t){if(t){let{data:e,dims:n}=Sg(t),r=BigInt64Array.from({length:3*e.length},(t,n)=>e[n%e.length]),i=Array.from({length:n[0]},(t,r)=>Wc(e.subarray(n[1]*r,n[1]*(r+1)))[0]+1n+BigInt(n[1]));return[new A(`int64`,r,[3,...n]),new A(`int64`,i,[i.length,1])]}else{let[t,n]=e.dims;return[new A(`int64`,BigInt64Array.from({length:3*t*n},(e,r)=>BigInt(Math.floor(r%n/t))),[3,...e.dims]),iu([t,1])]}}_reorder_and_write_positions(e,t,n,r){let i=e.reduce((e,t)=>e+t.length,0),a=Array(i),o=0;for(let t=0;t<3;++t)for(let n of e){let e=n.length/3;for(let r=t*e;r<(t+1)*e;++r)a[o++]=n[r]}let s=0;for(let e=0;e(t==s&&e.push(n),e),[]).map(e=>c[e+1]),u=l.filter(e=>e==a).length,d=l.filter(e=>e==o).length,f=[],p=0,m=u,h=d;for(let e=0;et>p&&e==a),s=c.findIndex((e,t)=>t>p&&e==o),l=m>0&&e!==-1?e:c.length+1,u=h>0&&s!==-1?s:c.length+1,d,g,_,v;l0?Wc(f.at(-1))[0]+1:0;f.push(Array.from({length:3*S},(e,t)=>C+t%S));let w=S+C,T=y*b*x,ee=Array.from({length:T},(e,t)=>w+Math.floor(t/(b*x))),te=Array.from({length:T},(e,t)=>w+Math.floor(t/x)%b),ne=Array.from({length:T},(e,t)=>w+t%x);f.push([ee,te,ne].flat()),p=d+T}if(p0?Wc(f.at(-1))[0]+1:0,t=c.length-p;f.push(Array.from({length:3*t},(n,r)=>e+r%t))}return f}get_rope_index(e,t,n,r){let{vision_config:i}=this.config,a=i.spatial_merge_size??2;if(t||n){let i=e.tolist();r||=ru(e);let o=r.tolist(),s=Array.from({length:3},()=>Array.from({length:e.dims[0]},()=>Array.from({length:e.dims[1]},()=>0))),c=t?t.tolist():[],l=n?n.tolist():[],u={image_index:0,video_index:0},d=[];for(let e=0;eo[e][n]==1),n=this._get_multimodal_rope_positions({filtered_ids:t,image_grid_thw_list:c,video_grid_thw_list:l,spatial_merge_size:a,state:u}),r=this._reorder_and_write_positions(n,o[e],s,e);d.push(Wc(r)[0]+1-i[e].length)}return[new A(`int64`,s.flat(1/0),[3,e.dims[0],e.dims[1]]),new A(`int64`,d,[d.length,1])]}else return this._get_text_only_rope_index(e,r)}async encode_image({pixel_values:e,image_grid_thw:t}){return(await bh(this.sessions.vision_encoder,{pixel_values:e,[this.image_grid_thw_name]:t})).image_features}_merge_input_ids_with_image_features(e){return Og({image_token_id:this.config.image_token_id,...e})}prepare_inputs_for_generation(e,t,n){if(!t.attention_mask||t.position_ids||!(this.sessions.decoder_model_merged??this.sessions.model).inputNames.includes(`position_ids`))return t;if(!t.past_key_values)[t.position_ids,t.rope_deltas]=this.get_rope_index(t.input_ids,t.image_grid_thw,t.video_grid_thw,t.attention_mask);else{t.pixel_values=null;let e=t.past_key_values.get_seq_length();if(en+e);t.position_ids=Jl([r,r,r],0)}}return t}},Nb=class extends Mb{},Pb=class extends Mb{image_grid_thw_name=`image_grid_thw`},Fb=class extends Nb{image_grid_thw_name=`image_grid_thw`},Ib=class extends Pb{get_vision_position_ids(e,t,n,r){let i=Math.floor(t[0]/n),a=Math.floor(t[1]/r),o=Math.floor(t[2]/r),s=a*o*i,c=Array.from({length:s},()=>e),l=Array.from({length:s},(t,n)=>e+Math.floor(n/(o*i))),u=Array.from({length:s},(t,n)=>e+n%o);return[...c,...l,...u]}_get_multimodal_rope_positions({filtered_ids:e,image_grid_thw_list:t,video_grid_thw_list:n,spatial_merge_size:r,state:i}){let{image_token_id:a}=this.config,o=[],s=0,c=e[0]==a?1:0;for(let t=1;t<=e.length;++t){let n=tl+n%e)),l+=e}else{let e=t[i.image_index++].map(Number),n=e[0];u.push(this.get_vision_position_ids(l,e,n,r)),l+=Math.max(e[1],e[2])/r}return u}},Lb=class extends M{},Rb=class extends Lb{},zb=class extends Lb{},Bb=class extends M{},Vb=class extends Bb{},Hb=class extends Bb{},Ub=class extends M{},Wb=class extends Ub{},Gb=class extends Ub{},Kb=class extends M{},qb=class extends Kb{},Jb=class extends Kb{},Yb=class extends M{},Xb=class extends Yb{},Zb=class extends Yb{},Qb=class extends M{},$b=class extends Qb{},ex=class extends Qb{},tx=class extends M{},nx=class extends tx{},rx=class extends tx{},ix=class extends M{},ax=class extends ix{},ox=class extends ix{},sx=class extends M{},cx=class extends sx{},lx=class extends sx{},ux=class extends M{forward_params=[`input_ids`,`attention_mask`,`position_ids`,`audio_values`,`past_key_values`]},dx=class extends ux{_merge_input_ids_with_audio_features(e){let t=e.audio_features.dims.at(-1),n=e.audio_features.view(-1,t);return kg({audio_token_id:this.config.ignore_index??this.config.audio_token_id??this.config.audio_token_index,...e,audio_features:n})}},fx=class extends dx{forward_params=[`input_ids`,`attention_mask`,`input_features`,`past_key_values`]},px=class extends M{},mx=class extends px{},hx=class extends M{},gx=class extends hx{},_x=class extends M{},vx=class extends _x{},yx=class extends _x{},bx=class extends M{},xx=class extends bx{},Sx=class extends bx{async _call(e){return new Ch(await super._call(e))}},Cx=class extends M{},wx=class extends Cx{},Tx=class extends Cx{async _call(e){return new Dh(await super._call(e))}},Ex=class extends Cx{async _call(e){return new Ch(await super._call(e))}},Dx=class extends Cx{async _call(e){return new wh(await super._call(e))}},Ox=class extends M{},kx=class extends Cx{},Ax=class extends Cx{async _call(e){return new Dh(await super._call(e))}},jx=class extends Cx{async _call(e){return new Ch(await super._call(e))}},Mx=class extends M{},Nx=class extends Mx{},Px=class extends Mx{},Fx=class extends pb{forward_params=[`input_ids`,`attention_mask`,`pixel_values`,`pixel_attention_mask`,`position_ids`,`past_key_values`]},Ix=class extends M{},Lx=class extends Ix{},Rx=class extends Ix{async _call(e){return new Ch(await super._call(e))}},zx=class extends M{},Bx=class extends zx{},Vx=class extends zx{},Hx=class extends M{},Ux=class extends Hx{async forward(e){let t=!e.input_ids,n=!e.pixel_values;if(t&&n)throw Error("Either `input_ids` or `pixel_values` should be provided.");if(t&&(e.input_ids=nu([e.pixel_values.dims[0],1])),n){let{image_size:t}=this.config.vision_config;e.pixel_values=eu([0,3,t,t],0)}let{text_embeddings:r,image_embeddings:i,l2norm_text_embeddings:a,l2norm_image_embeddings:o}=await super.forward(e),s={};return t||(s.text_embeddings=r,s.l2norm_text_embeddings=a),n||(s.image_embeddings=i,s.l2norm_image_embeddings=o),s}},Wx=class extends Hx{static async from_pretrained(e,t={}){return super.from_pretrained(e,{...t,model_file_name:t.model_file_name??`text_model`})}},Gx=class extends Hx{static async from_pretrained(e,t={}){return super.from_pretrained(e,{...t,model_file_name:t.model_file_name??`vision_model`})}},Kx=class extends M{},qx=class extends Kx{},Jx=class extends Kx{},Yx=class extends pb{},Xx=class extends M{},Zx=class extends Xx{},Qx=class extends Xx{},$x=class extends pb{forward_params=[`input_ids`,`attention_mask`,`pixel_values`,`pixel_attention_mask`,`spatial_shapes`,`position_ids`,`past_key_values`]},eS=class extends M{},tS=class extends eS{},nS=class extends eS{},rS=class extends M{},iS=class extends rS{},aS=class extends M{},oS=class extends aS{},sS=class extends aS{},cS=class extends M{},lS=class extends cS{},uS=class extends cS{},dS=class extends M{},fS=class extends dS{},pS=class extends dS{},mS=class extends M{},hS=class extends mS{},gS=class extends mS{},_S=class extends M{},vS=class extends _S{},yS=class extends _S{},bS=class extends _S{async _call(e){return new Ch(await super._call(e))}},xS=class extends _S{},SS=class extends M{},CS=class extends SS{},wS=class extends M{},TS=class extends wS{},ES=class extends Sh{constructor({char_logits:e,bpe_logits:t,wp_logits:n}){super(),this.char_logits=e,this.bpe_logits=t,this.wp_logits=n}get logits(){return[this.char_logits,this.bpe_logits,this.wp_logits]}},DS=class extends M{},OS=class extends DS{async _call(e){return new ES(await super._call(e))}},kS=class extends Sh{constructor({audio_codes:e}){super(),this.audio_codes=e}},AS=class extends Sh{constructor({audio_values:e}){super(),this.audio_values=e}},jS=class extends M{main_input_name=`input_values`;forward_params=[`input_values`]},MS=class extends jS{async encode(e){return new kS(await bh(this.sessions.encoder_model,e))}async decode(e){return new AS(await bh(this.sessions.decoder_model,e))}},NS=class extends jS{static async from_pretrained(e,t={}){return super.from_pretrained(e,{...t,model_file_name:t.model_file_name??`encoder_model`})}},PS=class extends jS{static async from_pretrained(e,t={}){return super.from_pretrained(e,{...t,model_file_name:t.model_file_name??`decoder_model`})}},FS=class extends M{},IS=class extends FS{},LS=class extends FS{},RS=class extends M{},zS=class extends RS{},BS=class extends RS{},VS=class extends M{},HS=class extends VS{},US=class extends VS{async _call(e){return new Th(await super._call(e))}},WS=class extends VS{async _call(e){return new Ch(await super._call(e))}},GS=class extends VS{async _call(e){return new Eh(await super._call(e))}},KS=class extends M{},qS=class extends KS{},JS=class extends KS{},YS=class extends M{},XS=class extends YS{},ZS=class extends YS{async _call(e){return new Ch(await super._call(e))}},QS=class extends YS{},$S=class extends M{},eC=class extends $S{},tC=class extends $S{async _call(e){return new Ch(await super._call(e))}},nC=class extends $S{},rC=class extends M{},iC=class extends rC{},aC=class extends rC{async _call(e){return new Ch(await super._call(e))}},oC=class extends rC{},sC=class extends M{},cC=class extends sC{},lC=class extends sC{async _call(e){return new Ch(await super._call(e))}},uC=class extends sC{},dC=class extends M{},fC=class extends dC{},pC=class extends dC{async _call(e){return new Ch(await super._call(e))}},mC=class extends M{},hC=class extends mC{},gC=class extends mC{async _call(e){return new Ch(await super._call(e))}},_C=class extends M{},vC=class extends _C{},yC=class extends _C{async _call(e){return new Th(await super._call(e))}},bC=class extends _C{async _call(e){return new Ch(await super._call(e))}},xC=class extends _C{async _call(e){return new wh(await super._call(e))}},SC=class extends M{},CC=class extends SC{},wC=class extends SC{},TC=class extends M{requires_attention_mask=!1;main_input_name=`input_values`;forward_params=[`input_values`,`decoder_input_ids`,`past_key_values`]},EC=class extends TC{},DC=class extends TC{},OC=class extends M{},kC=class extends OC{},AC=class extends OC{async _call(e){return new Th(await super._call(e))}},jC=class extends OC{async _call(e){return new Ch(await super._call(e))}},MC=class extends OC{async _call(e){return new wh(await super._call(e))}},NC=class extends OC{async _call(e){return new Eh(await super._call(e))}},PC=class extends M{},FC=class extends PC{},IC=class extends PC{},LC=class extends M{},RC=class extends LC{},zC=class extends LC{},BC=class extends M{},VC=class extends BC{forward_params=[`input_ids`,`pixel_values`,`images_seq_mask`,`images_emb_mask`,`attention_mask`,`position_ids`,`past_key_values`];constructor(...e){super(...e),this._generation_mode=`text`}async forward(e){let t=this._generation_mode??`text`,n;if(t===`text`||!e.past_key_values){let t=this.sessions.prepare_inputs_embeds;n=await bh(t,Li(e,t.inputNames))}else{let t=this.sessions.gen_img_embeds;n=await bh(t,Li({image_ids:e.input_ids},t.inputNames))}let r={...e,...n},i=await vg(this,r),a=this.sessions[t===`text`?`lm_head`:`gen_head`];if(!a)throw Error(`Unable to find "${a}" generation head`);let o=await bh(a,Li(i,a.inputNames));return{...n,...i,...o}}prepare_inputs_for_generation(e,t,n){let r=!!t.past_key_values;return n.guidance_scale!==null&&n.guidance_scale>1&&(r?t.input_ids=ql([t.input_ids,t.input_ids],0):(t.input_ids=ql([t.input_ids,tu(t.input_ids,BigInt(n.pad_token_id))],0),t.attention_mask=ql([t.attention_mask,tu(t.attention_mask,0n)],0))),(r||!t.pixel_values)&&(t.pixel_values=eu([0,0,3,384,384],1)),r&&(t.images_seq_mask=new A(`bool`,[,].fill(!0).fill(!1,0,1),[1,1]),t.images_emb_mask=new A(`bool`,[].fill(!1),[1,1,0])),t}async generate(e){return this._generation_mode=`text`,super.generate(e)}async generate_images(e){this._generation_mode=`image`;let t=(e.inputs??e[this.main_input_name]).dims[1],n=(await super.generate(e)).slice(null,[t,null]),r=this.sessions.image_decode,{decoded_image:i}=await bh(r,{generated_tokens:n}),a=i.add_(1).mul_(255/2).clamp_(0,255).to(`uint8`),o=[];for(let e of a){let t=Df.fromTensor(e);o.push(t)}return o}},HC=class extends M{},UC=class extends HC{},WC=class extends HC{},GC=class extends M{forward_params=[`input_ids`,`attention_mask`,`encoder_outputs`,`decoder_input_ids`,`decoder_attention_mask`,`past_key_values`];_apply_and_filter_by_delay_pattern_mask(e){let[t,n]=e.dims,r=this.config.decoder.num_codebooks,i=n-r,a=0;for(let t=0;t0&&o<=i&&(e.data[a++]=e.data[t])}let o=Math.floor(t/r),s=a/(o*r);return new A(e.type,e.data.slice(0,a),[o,r,s])}prepare_inputs_for_generation(e,t,n){let r=BigInt(this.config.decoder.pad_token_id),i=structuredClone(e);for(let e=0;e=t&&(i[e][t]=r);return n.guidance_scale!==null&&n.guidance_scale>1&&(i=i.concat(i)),Tg(this,i,t,n)}async generate(e){let t=await super.generate(e),n=this._apply_and_filter_by_delay_pattern_mask(t).unsqueeze_(0),{audio_values:r}=await bh(this.sessions.encodec_decode,{audio_codes:n});return r}},KC=class extends M{},qC=class extends KC{},JC=class extends KC{},YC=class extends M{},XC=class extends YC{},ZC=class extends YC{},QC=class extends M{},$C=class extends QC{},ew=class extends QC{async _call(e){return new Th(await super._call(e))}},tw=class extends QC{async _call(e){return new Ch(await super._call(e))}},nw=class extends QC{async _call(e){return new wh(await super._call(e))}},rw=class extends QC{async _call(e){return new Eh(await super._call(e))}},iw=class extends M{},aw=class extends iw{},ow=class extends M{},sw=class extends ow{},cw=class extends ow{},lw=class extends M{},uw=class extends lw{},dw=class extends lw{},fw=class extends M{},pw=class extends fw{},mw=class extends fw{},hw=class extends M{},gw=class extends hw{},_w=class extends hw{},vw=class extends M{},yw=class extends vw{},bw=class extends vw{},xw=class extends M{},Sw=class extends xw{},Cw=class extends xw{},ww=class extends M{},Tw=class extends ww{},Ew=class extends ww{},Dw=class extends M{},Ow=class extends Dw{},kw=class extends Dw{},Aw=class extends pb{},jw=class extends M{},Mw=class extends jw{async _call(e){return new Dh(await super._call(e))}},Nw=class extends M{},Pw=class extends Nw{},Fw=class extends Nw{},Iw=class extends M{},Lw=class extends Iw{},Rw=class extends Iw{},zw=class extends M{},Bw=class extends zw{},Vw=class extends zw{},Hw=class extends M{},Uw=class extends Hw{},Ww=class extends Hw{},Gw=class extends M{forward_params=[`input_ids`,`inputs_embeds`,`attention_mask`,`position_ids`,`pixel_values`,`image_sizes`,`past_key_values`]},Kw=class extends Gw{async forward({input_ids:e=null,attention_mask:t=null,pixel_values:n=null,image_sizes:r=null,position_ids:i=null,inputs_embeds:a=null,past_key_values:o=null,generation_config:s=null,logits_processor:c=null,...l}){if(!a){let t;if(n&&e.dims[1]!==1){if(!r)throw Error("`image_sizes` must be provided when `pixel_values` is provided.");({image_features:t}=await bh(this.sessions.vision_encoder,{pixel_values:n,image_sizes:r}))}else{let e=this.config.normalized_config.hidden_size;t=new A(`float32`,[],[0,e])}({inputs_embeds:a}=await bh(this.sessions.prepare_inputs_embeds,{input_ids:e,image_features:t}))}return await vg(this,{inputs_embeds:a,past_key_values:o,attention_mask:t,position_ids:i,generation_config:s,logits_processor:c},!1)}},qw=class extends M{},Jw=class extends qw{},Yw=class extends qw{async _call(e){return new Ch(await super._call(e))}},Xw=class extends M{},Zw=class extends Xw{},Qw=class extends Xw{async _call(e){return new wh(await super._call(e))}},$w=class extends M{},eT=class extends $w{},tT=class extends $w{},nT=class extends M{},rT=class extends nT{},iT=class extends nT{},aT=class extends M{},oT=class extends aT{},sT=class extends aT{},cT=class extends M{},lT=class extends cT{},uT=class extends cT{},dT=class extends M{},fT=class extends dT{},pT=class extends dT{},mT=class extends Pb{},hT=class extends Fb{},gT=class extends mT{},_T=class extends hT{},vT=class extends mT{},yT=class extends vT{},bT=class extends vT{},xT=class extends yT{},ST=class extends M{},CT=class extends ST{},wT=class extends ST{async _call(e){return new Ch(await super._call(e))}},TT=class extends M{},ET=class extends TT{},DT=class extends TT{async _call(e){return new OT(await super._call(e))}},OT=class extends _v{},kT=class extends M{},AT=class extends kT{},jT=class extends kT{async _call(e){return new Th(await super._call(e))}},MT=class extends kT{async _call(e){return new Ch(await super._call(e))}},NT=class extends kT{async _call(e){return new wh(await super._call(e))}},PT=class extends kT{async _call(e){return new Eh(await super._call(e))}},FT=class extends M{},IT=class extends FT{},LT=class extends FT{async _call(e){return new Th(await super._call(e))}},RT=class extends FT{async _call(e){return new Ch(await super._call(e))}},zT=class extends FT{async _call(e){return new wh(await super._call(e))}},BT=class extends FT{async _call(e){return new Eh(await super._call(e))}},VT=class extends M{},HT=class extends VT{},UT=class extends VT{async _call(e){return new WT(await super._call(e))}},WT=class extends _v{},GT=class extends Sh{constructor({iou_scores:e,pred_masks:t}){super(),this.iou_scores=e,this.pred_masks=t}},KT=class extends M{},qT=class extends KT{async get_image_embeddings({pixel_values:e}){return await gg(this,{pixel_values:e})}async forward(e){e=!e.image_embeddings||!e.image_positional_embeddings?{...e,...await this.get_image_embeddings(e)}:{...e},e.input_labels??=nu(e.input_points.dims.slice(0,-1));let t={image_embeddings:e.image_embeddings,image_positional_embeddings:e.image_positional_embeddings};return e.input_points&&(t.input_points=e.input_points),e.input_labels&&(t.input_labels=e.input_labels),e.input_boxes&&(t.input_boxes=e.input_boxes),await bh(this.sessions.prompt_encoder_mask_decoder,t)}async _call(e){return new GT(await super._call(e))}},JT=class extends Sh{constructor({iou_scores:e,pred_masks:t,object_score_logits:n}){super(),this.iou_scores=e,this.pred_masks=t,this.object_score_logits=n}},YT=class extends M{},XT=class extends YT{async get_image_embeddings({pixel_values:e}){return await gg(this,{pixel_values:e})}async forward(e){let{num_feature_levels:t}=this.config.vision_config;if(e=Array.from({length:t},(e,t)=>`image_embeddings.${t}`).some(t=>!e[t])?{...e,...await this.get_image_embeddings(e)}:{...e},e.input_points){if(e.input_boxes&&e.input_boxes.dims[1]!==1)throw Error("When both `input_points` and `input_boxes` are provided, the number of boxes per image must be 1.");let t=e.input_points.dims;e.input_labels??=nu(t.slice(0,-1)),e.input_boxes??=eu([t[0],0,4],0)}else if(e.input_boxes){let t=e.input_boxes.dims;e.input_labels=eu([t[0],t[1],0],-1n),e.input_points=eu([t[0],1,0,2],0)}else throw Error("At least one of `input_points` or `input_boxes` must be provided.");let n=this.sessions.prompt_encoder_mask_decoder;return await bh(n,Li(e,n.inputNames))}async _call(e){return new JT(await super._call(e))}},ZT=class extends XT{},QT=class extends XT{},$T=class extends M{},eE=class extends $T{},tE=class extends $T{},nE=class extends $T{},rE=class extends M{},iE=class extends rE{},aE=class extends rE{},oE=class extends rE{},sE=class extends M{},cE=class extends sE{},lE=class extends sE{static async from_pretrained(e,t={}){return super.from_pretrained(e,{...t,model_file_name:t.model_file_name??`text_model`})}},uE=class extends F_{static async from_pretrained(e,t={}){return super.from_pretrained(e,{...t,model_file_name:t.model_file_name??`vision_model`})}},dE=class extends M{},fE=class extends dE{},pE=class extends dE{},mE=class extends M{main_input_name=`input_values`;forward_params=[`input_values`]},hE=class extends mE{async encode(e){return await bh(this.sessions.encoder_model,e)}async decode(e){return await bh(this.sessions.decoder_model,e)}},gE=class extends mE{static async from_pretrained(e,t={}){return super.from_pretrained(e,{...t,model_file_name:t.model_file_name??`encoder_model`})}},_E=class extends mE{static async from_pretrained(e,t={}){return super.from_pretrained(e,{...t,model_file_name:t.model_file_name??`decoder_model`})}},vE=class extends M{},yE=class extends vE{},bE=class extends vE{},xE=class extends M{},SE=class extends xE{},CE=class extends xE{},wE=class extends xE{async generate_speech(e,t,{threshold:n=.5,minlenratio:r=0,maxlenratio:i=20,vocoder:a=null}={}){let{encoder_outputs:o,encoder_attention_mask:s}=await gg(this,{input_ids:e}),c=o.dims[1]/this.config.reduction_factor,l=Math.floor(c*i),u=Math.floor(c*r),d=this.config.num_mel_bins,f=[],p=null,m=null,h=0;for(;;){++h;let e=lg(!!m),r;r=m?m.output_sequence_out:new A(`float32`,new Float32Array(d),[1,1,d]);let i={use_cache_branch:e,output_sequence:r,encoder_attention_mask:s,speaker_embeddings:t,encoder_hidden_states:o};this.addPastKeyValues(i,p),m=await bh(this.sessions.decoder_model_merged,i),p=this.getPastKeyValues(m,p);let{prob:a,spectrum:c}=m;if(f.push(c),h>=u&&(Array.from(a.data).filter(e=>e>=n).length>0||h>=l))break}let g=ql(f),{waveform:_}=await bh(a.sessions.model,{spectrogram:g});return{spectrogram:g,waveform:_}}},TE=class extends M{main_input_name=`spectrogram`},EE=class extends M{},DE=class extends EE{},OE=class extends EE{async _call(e){return new Th(await super._call(e))}},kE=class extends EE{async _call(e){return new Ch(await super._call(e))}},AE=class extends EE{async _call(e){return new Eh(await super._call(e))}},jE=class extends M{},ME=class extends jE{},NE=class extends jE{},PE=class extends M{},FE=class extends PE{},IE=class extends PE{},LE=class extends M{},RE=class extends LE{},zE=class extends M{},BE=class extends zE{async generate_speech({input_ids:e,attention_mask:t,style:n,num_inference_steps:r=5,speed:i=1.05}){let{sampling_rate:a,chunk_compress_factor:o,base_chunk_size:s,latent_dim:c}=this.config,{last_hidden_state:l,durations:u}=await bh(this.sessions.text_encoder,{input_ids:e,attention_mask:t,style:n}),d=u.div(i).mul_(a),f=s*o,p=d.data,m=Int32Array.from(p,e=>Math.ceil(e/f)),h=Math.max(...m),g=e.dims[0],_=new BigInt64Array(g*h);for(let e=0;ee*t,1)),d[e]);let f=new A(l,new u(s*MD),[1,s,MD]),p=t[Symbol.asyncIterator]?.()??t[Symbol.iterator]?.();if(!p)throw Error(`input_features must be iterable or async iterable`);return{encoder_session:i,enc_kv_cache:c,enc_padding_cache:f,enc_past_seq_len:0,audio_embed_queue:[],audio_embed_total_tokens:0,audio_queue_offset:0,audio_consumed:0,stream_exhausted:!1,chunks_iter:p,text_hidden_size:n.hidden_size}}async function ID(e,t){let n=t.dims[2],r=Math.floor((ND+n-3)/2)+1,i=new A(`int64`,BigInt64Array.from({length:r},(t,n)=>BigInt(e.enc_past_seq_len+n)),[1,r]),a=e.enc_past_seq_len+r,o=nu([1,a]),{audio_embeds:s,present_padding_cache:c,...l}=await bh(e.encoder_session,{input_features:t,attention_mask:o,position_ids:i,past_padding_cache:e.enc_padding_cache,...e.enc_kv_cache});e.enc_padding_cache.location===`gpu-buffer`&&e.enc_padding_cache.dispose(),e.enc_padding_cache=c;for(let t in l)if(t.startsWith(`present.`)){let n=t.replace(`present`,`past_key_values`),r=e.enc_kv_cache[n];r?.location===`gpu-buffer`&&r.dispose(),e.enc_kv_cache[n]=l[t]}return e.enc_past_seq_len=a,s}async function LD(e,t){for(;e.audio_embed_total_tokens0&&e.audio_embed_queue.length>0;){let t=e.audio_embed_queue[0],n=t.tokens-e.audio_queue_offset,o=Math.min(a,n),s=e.audio_queue_offset*e.text_hidden_size;for(let n=0;n=t.tokens&&(e.audio_embed_queue.shift(),e.audio_queue_offset=0)}e.audio_consumed+=n-a}var zD=class extends Gh{constructor(e){super(),this._s=e}_call(e){let t=this._s.stream_exhausted&&this._s.audio_embed_queue.length===0;return e.map(()=>t)}},BD=class extends M{forward_params=[`input_ids`,`attention_mask`,`position_ids`,`past_key_values`]},VD=class extends BD{async forward({input_ids:e,past_key_values:t,...n}){let r=e.dims[1],i=PD.get(this);i&&await LD(i,i.audio_consumed+r);let{inputs_embeds:a}=await bh(this.sessions.embed_tokens,{input_ids:e});i&&RD(i,a,r);let o={inputs_embeds:a,...n};this.addPastKeyValues(o,t);let s=this.sessions.decoder_model_merged;return await bh(s,Li(o,s.inputNames))}async generate({input_features:e,stopping_criteria:t,...n}){if(!e)throw Error(`input_features (generator/iterable) must be provided`);let r=FD(this,e);PD.set(this,r);let i=new Kh;i.push(new zD(r)),t&&i.extend(t);try{return await super.generate({...n,stopping_criteria:i})}finally{r.enc_kv_cache.dispose(),PD.delete(this)}}},HD=class extends M{},UD=class extends HD{},WD=class extends HD{async _call(e){return new Dh(await super._call(e))}},GD=class extends HD{async _call(e){return new Ch(await super._call(e))}},KD=class extends Sh{constructor({logits:e,embeddings:t}){super(),this.logits=e,this.embeddings=t}},qD=class extends M{},JD=class extends qD{},YD=class extends qD{async _call(e){return new Dh(await super._call(e))}},XD=class extends qD{async _call(e){return new Ch(await super._call(e))}},ZD=class extends qD{async _call(e){return new KD(await super._call(e))}},QD=class extends qD{async _call(e){return new wh(await super._call(e))}},$D=class extends M{},eO=class extends $D{},tO=class extends Wh{return_timestamps=null;return_token_timestamps=null;num_frames=null;alignment_heads=null;task=null;language=null;no_timestamps_token_id=null;prompt_ids=null;is_multilingual=null;lang_to_id=null;task_to_id=null;max_initial_timestamp_index=1},nO=class extends M{requires_attention_mask=!1;main_input_name=`input_features`;forward_params=[`input_features`,`attention_mask`,`decoder_input_ids`,`decoder_attention_mask`,`past_key_values`]},rO=class extends nO{},iO=class extends nO{_prepare_generation_config(e,t){return super._prepare_generation_config(e,t,tO)}_retrieve_init_tokens(e){let t=[e.decoder_start_token_id],n=e.language,r=e.task;if(e.is_multilingual){n||=(zi.warn(`No language specified - defaulting to English (en).`),`en`);let i=`<|${dd(n)}|>`;t.push(e.lang_to_id[i]),t.push(e.task_to_id[r??`transcribe`])}else if(n||r)throw Error("Cannot specify `task` or `language` for an English-only model. If the model is intended to be multilingual, pass `is_multilingual=true` to generate, or update the generation config.");return!e.return_timestamps&&e.no_timestamps_token_id&&t.at(-1)!==e.no_timestamps_token_id?t.push(e.no_timestamps_token_id):e.return_timestamps&&t.at(-1)===e.no_timestamps_token_id&&(zi.warn("<|notimestamps|> prompt token is removed from generation_config since `return_timestamps` is set to `true`."),t.pop()),t.filter(e=>e!=null)}async generate({inputs:e=null,generation_config:t=null,logits_processor:n=null,stopping_criteria:r=null,...i}){t=this._prepare_generation_config(t,i);let a=i.decoder_input_ids??this._retrieve_init_tokens(t);if(t.return_timestamps&&(n??=new jh,n.push(new Ih(t,a))),t.begin_suppress_tokens&&(n??=new jh,n.push(new Fh(t.begin_suppress_tokens,a.length))),t.return_token_timestamps){if(!t.alignment_heads)throw Error("Model generation config has no `alignment_heads`, token-level timestamps not available. See https://gist.github.com/hollance/42e32852f24243b748ae6bc1f985b13a on how to add this property to the generation config.");t.task===`translate`&&zi.warn(`Token-level timestamps may not be reliable for task 'translate'.`),t.output_attentions=!0,t.return_dict_in_generate=!0}if(t.return_timestamps&&!i.max_new_tokens)return this._generate_with_seek({inputs:e,generation_config:t,logits_processor:n,init_tokens:a,kwargs:i});let o=await super.generate({inputs:e,generation_config:t,logits_processor:n,decoder_input_ids:a,...i});return t.return_token_timestamps&&(o.token_timestamps=this._extract_token_timestamps(o,t.alignment_heads,t.num_frames,.02,a.length)),o}async _generate_with_seek({inputs:e,generation_config:t,logits_processor:n,init_tokens:r,kwargs:i}){let a=t.no_timestamps_token_id+1,o=Array.isArray(t.eos_token_id)?t.eos_token_id[0]:t.eos_token_id,s=t.return_token_timestamps,c=e,l=c.dims[2],u=2*this.config.max_source_positions,d=0,f=[],p=[];for(;de+n)}if(v.length>0&&v.at(-1)===o&&v.pop(),v.length===0)break;let b=v.map(e=>e>=a),x=v.length>=2&&b[v.length-1]&&!b[v.length-2],S=[];for(let e=0;e0)if(x)C=e-d;else{let e=S.at(-1);C=(v[e-1]-a)*2,w=e}else C=e-d;let T=Math.floor(d/2),ee=a+1500;for(let e=0;e=a&&(v[e]=Math.min(v[e]+T,ee));f.push(...v.slice(0,w)),y&&p.push(...y.slice(0,w)),d+=C}f.push(o);let m=[...r,...f];if(s){let e=new A(`int64`,m.map(BigInt),[1,m.length]),t=[...Array(r.length).fill(0),...p,0];return{sequences:e,token_timestamps:new A(`float32`,new Float32Array(t),[1,t.length])}}return new A(`int64`,m.map(BigInt),[1,m.length])}_extract_token_timestamps(e,t,n=null,r=.02,i=0){if(!e.cross_attentions)throw Error("Model outputs must contain cross attentions to extract timestamps. This is most likely because the model was not exported with `output_attentions=True`.");n??zi.warn("`num_frames` has not been set, meaning the entire audio will be analyzed. This may lead to inaccurate token-level timestamps for short audios (< 30 seconds).");let a=this.config.median_filter_width;a===void 0&&(zi.warn("Model config has no `median_filter_width`, using default value of 7."),a=7);let o=e.cross_attentions,s=Array.from({length:this.config.decoder_layers},(e,t)=>ql(o.map(e=>e[t]),2)),c=Jl(t.map(([e,t])=>{if(e>=s.length)throw Error(`Layer index ${e} is out of bounds for cross attentions (length ${s.length}).`);return n?s[e].slice(null,t,null,[0,n]):s[e].slice(null,t)})).transpose(1,0,2,3),[l,u]=Xl(c,-2,0,!0),d=c.clone();for(let e=0;e0?d.slice(null,null,[i,d.dims[2]],null):d,1)],p=e.sequences.dims,m=new A(`float32`,new Float32Array(p[0]*p[1]),p);for(let e=0;et[n+1]-t[n])).map(e=>!!e),o=[];for(let e=0;e0&&s.push(o.at(-1)),m[e].data.set(s)}return m}},aO=class extends iO{},oO=class extends M{},sO=class extends oO{},cO=class extends oO{async _call(e){return new Th(await super._call(e))}},lO=class extends oO{async _call(e){return new Ch(await super._call(e))}},uO=class extends oO{async _call(e){return new wh(await super._call(e))}},dO=class extends oO{async _call(e){return new Eh(await super._call(e))}},fO=class extends M{},pO=class extends fO{},mO=class extends fO{async _call(e){return new Th(await super._call(e))}},hO=class extends fO{async _call(e){return new Ch(await super._call(e))}},gO=class extends fO{async _call(e){return new wh(await super._call(e))}},_O=class extends fO{async _call(e){return new Eh(await super._call(e))}},vO=class extends M{},yO=class extends vO{},bO=class extends vO{async _call(e){return new xO(await super._call(e))}},xO=class extends Sh{constructor({logits:e,pred_boxes:t}){super(),this.logits=e,this.pred_boxes=t}},SO=class extends M{},CO=class extends SO{},wO=class extends SO{},TO=new Map([[`bert`,`BertModel`],[`eurobert`,`EuroBertModel`],[`neobert`,`NeoBertModel`],[`modernbert`,`ModernBertModel`],[`nomic_bert`,`NomicBertModel`],[`roformer`,`RoFormerModel`],[`electra`,`ElectraModel`],[`esm`,`EsmModel`],[`convbert`,`ConvBertModel`],[`camembert`,`CamembertModel`],[`deberta`,`DebertaModel`],[`deberta-v2`,`DebertaV2Model`],[`mpnet`,`MPNetModel`],[`albert`,`AlbertModel`],[`distilbert`,`DistilBertModel`],[`roberta`,`RobertaModel`],[`xlm`,`XLMModel`],[`xlm-roberta`,`XLMRobertaModel`],[`clap`,`ClapModel`],[`clip`,`CLIPModel`],[`clipseg`,`CLIPSegModel`],[`chinese_clip`,`ChineseCLIPModel`],[`siglip`,`SiglipModel`],[`jina_clip`,`JinaCLIPModel`],[`mobilebert`,`MobileBertModel`],[`squeezebert`,`SqueezeBertModel`],[`wav2vec2`,`Wav2Vec2Model`],[`wav2vec2-bert`,`Wav2Vec2BertModel`],[`unispeech`,`UniSpeechModel`],[`unispeech-sat`,`UniSpeechSatModel`],[`hubert`,`HubertModel`],[`wavlm`,`WavLMModel`],[`audio-spectrogram-transformer`,`ASTModel`],[`vits`,`VitsModel`],[`pyannote`,`PyAnnoteModel`],[`wespeaker-resnet`,`WeSpeakerResNetModel`],[`detr`,`DetrModel`],[`rt_detr`,`RTDetrModel`],[`rt_detr_v2`,`RTDetrV2Model`],[`rf_detr`,`RFDetrModel`],[`d_fine`,`DFineModel`],[`table-transformer`,`TableTransformerModel`],[`vit`,`ViTModel`],[`ijepa`,`IJepaModel`],[`pvt`,`PvtModel`],[`vit_msn`,`ViTMSNModel`],[`vit_mae`,`ViTMAEModel`],[`groupvit`,`GroupViTModel`],[`fastvit`,`FastViTModel`],[`mobilevit`,`MobileViTModel`],[`mobilevitv2`,`MobileViTV2Model`],[`owlvit`,`OwlViTModel`],[`owlv2`,`Owlv2Model`],[`beit`,`BeitModel`],[`deit`,`DeiTModel`],[`hiera`,`HieraModel`],[`convnext`,`ConvNextModel`],[`convnextv2`,`ConvNextV2Model`],[`dinov2`,`Dinov2Model`],[`dinov2_with_registers`,`Dinov2WithRegistersModel`],[`dinov3_vit`,`DINOv3ViTModel`],[`dinov3_convnext`,`DINOv3ConvNextModel`],[`resnet`,`ResNetModel`],[`swin`,`SwinModel`],[`swin2sr`,`Swin2SRModel`],[`donut-swin`,`DonutSwinModel`],[`yolos`,`YolosModel`],[`dpt`,`DPTModel`],[`glpn`,`GLPNModel`],[`hifigan`,`SpeechT5HifiGan`],[`efficientnet`,`EfficientNetModel`],[`decision_transformer`,`DecisionTransformerModel`],[`patchtst`,`PatchTSTModel`],[`patchtsmixer`,`PatchTSMixerModel`],[`mobilenet_v1`,`MobileNetV1Model`],[`mobilenet_v2`,`MobileNetV2Model`],[`mobilenet_v3`,`MobileNetV3Model`],[`mobilenet_v4`,`MobileNetV4Model`],[`maskformer`,`MaskFormerModel`],[`mgp-str`,`MgpstrForSceneTextRecognition`],[`style_text_to_speech_2`,`StyleTextToSpeech2Model`]]),EO=new Map([[`t5`,`T5Model`],[`longt5`,`LongT5Model`],[`mt5`,`MT5Model`],[`bart`,`BartModel`],[`mbart`,`MBartModel`],[`marian`,`MarianModel`],[`whisper`,`WhisperModel`],[`cohere_asr`,`CohereAsrModel`],[`m2m_100`,`M2M100Model`],[`blenderbot`,`BlenderbotModel`],[`blenderbot-small`,`BlenderbotSmallModel`]]),DO=new Map([[`mimi`,`MimiModel`],[`dac`,`DacModel`],[`snac`,`SnacModel`]]),OO=new Map([[`bloom`,`BloomModel`],[`jais`,`JAISModel`],[`gpt2`,`GPT2Model`],[`gpt_oss`,`GptOssModel`],[`gptj`,`GPTJModel`],[`gpt_bigcode`,`GPTBigCodeModel`],[`gpt_neo`,`GPTNeoModel`],[`gpt_neox`,`GPTNeoXModel`],[`codegen`,`CodeGenModel`],[`llama`,`LlamaModel`],[`apertus`,`ApertusModel`],[`nanochat`,`NanoChatModel`],[`arcee`,`ArceeModel`],[`afmoe`,`AfmoeModel`],[`lfm2`,`Lfm2Model`],[`lfm2_moe`,`Lfm2MoeModel`],[`smollm3`,`SmolLM3Model`],[`exaone`,`ExaoneModel`],[`olmo`,`OlmoModel`],[`olmo2`,`Olmo2Model`],[`olmo3`,`Olmo3Model`],[`olmo_hybrid`,`OlmoHybridModel`],[`mobilellm`,`MobileLLMModel`],[`granite`,`GraniteModel`],[`granitemoehybrid`,`GraniteMoeHybridModel`],[`cohere`,`CohereModel`],[`cohere2`,`Cohere2Model`],[`gemma`,`GemmaModel`],[`gemma2`,`Gemma2Model`],[`vaultgemma`,`VaultGemmaModel`],[`gemma3_text`,`Gemma3Model`],[`helium`,`HeliumModel`],[`glm`,`GlmModel`],[`glm_moe_dsa`,`GlmMoeDsaModel`],[`openelm`,`OpenELMModel`],[`qwen2`,`Qwen2Model`],[`qwen2_moe`,`Qwen2MoeModel`],[`qwen3`,`Qwen3Model`],[`qwen3_moe`,`Qwen3MoeModel`],[`qwen3_next`,`Qwen3NextModel`],[`phi`,`PhiModel`],[`phi3`,`Phi3Model`],[`mpt`,`MptModel`],[`opt`,`OPTModel`],[`mistral`,`MistralModel`],[`mistral4`,`Mistral4Model`],[`ministral`,`MinistralModel`],[`ministral3`,`Ministral3Model`],[`ernie4_5`,`Ernie4_5ForCausalLM`],[`starcoder2`,`Starcoder2Model`],[`deepseek_v3`,`DeepseekV3Model`],[`falcon`,`FalconModel`],[`falcon_h1`,`FalconH1Model`],[`nemotron_h`,`NemotronHModel`],[`solar_open`,`SolarOpenModel`],[`stablelm`,`StableLmModel`],[`modernbert-decoder`,`ModernBertDecoderModel`],[`hunyuan_v1_dense`,`HunYuanDenseV1Model`],[`youtu`,`YoutuModel`]]),kO=new Map([[`speecht5`,`SpeechT5ForSpeechToText`],[`whisper`,`WhisperForConditionalGeneration`],[`lite-whisper`,`LiteWhisperForConditionalGeneration`],[`moonshine`,`MoonshineForConditionalGeneration`],[`cohere_asr`,`CohereAsrForConditionalGeneration`]]),AO=new Map([[`speecht5`,`SpeechT5ForTextToSpeech`]]),jO=new Map([[`vits`,`VitsModel`],[`musicgen`,`MusicgenForConditionalGeneration`],[`supertonic`,`SupertonicForConditionalGeneration`]]),MO=new Map([[`bert`,`BertForSequenceClassification`],[`eurobert`,`EuroBertForSequenceClassification`],[`neobert`,`NeoBertForSequenceClassification`],[`modernbert`,`ModernBertForSequenceClassification`],[`roformer`,`RoFormerForSequenceClassification`],[`electra`,`ElectraForSequenceClassification`],[`esm`,`EsmForSequenceClassification`],[`convbert`,`ConvBertForSequenceClassification`],[`camembert`,`CamembertForSequenceClassification`],[`deberta`,`DebertaForSequenceClassification`],[`deberta-v2`,`DebertaV2ForSequenceClassification`],[`mpnet`,`MPNetForSequenceClassification`],[`albert`,`AlbertForSequenceClassification`],[`distilbert`,`DistilBertForSequenceClassification`],[`roberta`,`RobertaForSequenceClassification`],[`xlm`,`XLMForSequenceClassification`],[`xlm-roberta`,`XLMRobertaForSequenceClassification`],[`bart`,`BartForSequenceClassification`],[`mbart`,`MBartForSequenceClassification`],[`mobilebert`,`MobileBertForSequenceClassification`],[`squeezebert`,`SqueezeBertForSequenceClassification`]]),NO=new Map([[`bert`,`BertForTokenClassification`],[`eurobert`,`EuroBertForTokenClassification`],[`neobert`,`NeoBertForTokenClassification`],[`modernbert`,`ModernBertForTokenClassification`],[`roformer`,`RoFormerForTokenClassification`],[`electra`,`ElectraForTokenClassification`],[`esm`,`EsmForTokenClassification`],[`convbert`,`ConvBertForTokenClassification`],[`camembert`,`CamembertForTokenClassification`],[`deberta`,`DebertaForTokenClassification`],[`deberta-v2`,`DebertaV2ForTokenClassification`],[`mpnet`,`MPNetForTokenClassification`],[`distilbert`,`DistilBertForTokenClassification`],[`roberta`,`RobertaForTokenClassification`],[`xlm`,`XLMForTokenClassification`],[`xlm-roberta`,`XLMRobertaForTokenClassification`]]),PO=new Map([[`t5`,`T5ForConditionalGeneration`],[`longt5`,`LongT5ForConditionalGeneration`],[`mt5`,`MT5ForConditionalGeneration`],[`bart`,`BartForConditionalGeneration`],[`mbart`,`MBartForConditionalGeneration`],[`marian`,`MarianMTModel`],[`m2m_100`,`M2M100ForConditionalGeneration`],[`blenderbot`,`BlenderbotForConditionalGeneration`],[`blenderbot-small`,`BlenderbotSmallForConditionalGeneration`]]),FO=new Map([[`bloom`,`BloomForCausalLM`],[`gpt2`,`GPT2LMHeadModel`],[`gpt_oss`,`GptOssForCausalLM`],[`jais`,`JAISLMHeadModel`],[`gptj`,`GPTJForCausalLM`],[`gpt_bigcode`,`GPTBigCodeForCausalLM`],[`gpt_neo`,`GPTNeoForCausalLM`],[`gpt_neox`,`GPTNeoXForCausalLM`],[`codegen`,`CodeGenForCausalLM`],[`llama`,`LlamaForCausalLM`],[`nanochat`,`NanoChatForCausalLM`],[`apertus`,`ApertusForCausalLM`],[`llama4_text`,`Llama4ForCausalLM`],[`arcee`,`ArceeForCausalLM`],[`afmoe`,`AfmoeForCausalLM`],[`lfm2`,`Lfm2ForCausalLM`],[`lfm2_moe`,`Lfm2MoeForCausalLM`],[`smollm3`,`SmolLM3ForCausalLM`],[`exaone`,`ExaoneForCausalLM`],[`olmo`,`OlmoForCausalLM`],[`olmo2`,`Olmo2ForCausalLM`],[`olmo3`,`Olmo3ForCausalLM`],[`olmo_hybrid`,`OlmoHybridForCausalLM`],[`mobilellm`,`MobileLLMForCausalLM`],[`granite`,`GraniteForCausalLM`],[`granitemoehybrid`,`GraniteMoeHybridForCausalLM`],[`cohere`,`CohereForCausalLM`],[`cohere2`,`Cohere2ForCausalLM`],[`gemma`,`GemmaForCausalLM`],[`gemma2`,`Gemma2ForCausalLM`],[`vaultgemma`,`VaultGemmaForCausalLM`],[`gemma3_text`,`Gemma3ForCausalLM`],[`gemma3`,`Gemma3ForCausalLM`],[`helium`,`HeliumForCausalLM`],[`glm`,`GlmForCausalLM`],[`glm_moe_dsa`,`GlmMoeDsaForCausalLM`],[`openelm`,`OpenELMForCausalLM`],[`qwen2`,`Qwen2ForCausalLM`],[`qwen2_moe`,`Qwen2MoeForCausalLM`],[`qwen3`,`Qwen3ForCausalLM`],[`qwen3_moe`,`Qwen3MoeForCausalLM`],[`qwen3_next`,`Qwen3NextForCausalLM`],[`qwen2_vl`,`Qwen2VLForCausalLM`],[`qwen2_5_vl`,`Qwen2_5_VLForCausalLM`],[`qwen3_vl`,`Qwen3VLForCausalLM`],[`qwen3_vl_moe`,`Qwen3VLMoeForCausalLM`],[`qwen3_5`,`Qwen3_5ForCausalLM`],[`qwen3_5_text`,`Qwen3_5ForCausalLM`],[`qwen3_5_moe`,`Qwen3_5MoeForCausalLM`],[`gemma3n`,`Gemma3nForCausalLM`],[`gemma4`,`Gemma4ForCausalLM`],[`phi`,`PhiForCausalLM`],[`phi3`,`Phi3ForCausalLM`],[`mpt`,`MptForCausalLM`],[`opt`,`OPTForCausalLM`],[`mbart`,`MBartForCausalLM`],[`mistral`,`MistralForCausalLM`],[`mistral4`,`Mistral4ForCausalLM`],[`ministral`,`MinistralForCausalLM`],[`ministral3`,`Ministral3ForCausalLM`],[`ernie4_5`,`Ernie4_5ForCausalLM`],[`starcoder2`,`Starcoder2ForCausalLM`],[`deepseek_v3`,`DeepseekV3ForCausalLM`],[`falcon`,`FalconForCausalLM`],[`falcon_h1`,`FalconH1ForCausalLM`],[`nemotron_h`,`NemotronHForCausalLM`],[`trocr`,`TrOCRForCausalLM`],[`solar_open`,`SolarOpenForCausalLM`],[`stablelm`,`StableLmForCausalLM`],[`modernbert-decoder`,`ModernBertDecoderForCausalLM`],[`hunyuan_v1_dense`,`HunYuanDenseV1ForCausalLM`],[`youtu`,`YoutuForCausalLM`],[`phi3_v`,`Phi3VForCausalLM`]]),IO=new Map([[`multi_modality`,`MultiModalityCausalLM`]]),LO=new Map([[`bert`,`BertForMaskedLM`],[`eurobert`,`EuroBertForMaskedLM`],[`neobert`,`NeoBertForMaskedLM`],[`modernbert`,`ModernBertForMaskedLM`],[`roformer`,`RoFormerForMaskedLM`],[`electra`,`ElectraForMaskedLM`],[`esm`,`EsmForMaskedLM`],[`convbert`,`ConvBertForMaskedLM`],[`camembert`,`CamembertForMaskedLM`],[`deberta`,`DebertaForMaskedLM`],[`deberta-v2`,`DebertaV2ForMaskedLM`],[`mpnet`,`MPNetForMaskedLM`],[`albert`,`AlbertForMaskedLM`],[`distilbert`,`DistilBertForMaskedLM`],[`roberta`,`RobertaForMaskedLM`],[`xlm`,`XLMWithLMHeadModel`],[`xlm-roberta`,`XLMRobertaForMaskedLM`],[`mobilebert`,`MobileBertForMaskedLM`],[`squeezebert`,`SqueezeBertForMaskedLM`]]),RO=new Map([[`bert`,`BertForQuestionAnswering`],[`neobert`,`NeoBertForQuestionAnswering`],[`roformer`,`RoFormerForQuestionAnswering`],[`electra`,`ElectraForQuestionAnswering`],[`convbert`,`ConvBertForQuestionAnswering`],[`camembert`,`CamembertForQuestionAnswering`],[`deberta`,`DebertaForQuestionAnswering`],[`deberta-v2`,`DebertaV2ForQuestionAnswering`],[`mpnet`,`MPNetForQuestionAnswering`],[`albert`,`AlbertForQuestionAnswering`],[`distilbert`,`DistilBertForQuestionAnswering`],[`roberta`,`RobertaForQuestionAnswering`],[`xlm`,`XLMForQuestionAnswering`],[`xlm-roberta`,`XLMRobertaForQuestionAnswering`],[`mobilebert`,`MobileBertForQuestionAnswering`],[`squeezebert`,`SqueezeBertForQuestionAnswering`]]),zO=new Map([[`vision-encoder-decoder`,`VisionEncoderDecoderModel`],[`idefics3`,`Idefics3ForConditionalGeneration`],[`smolvlm`,`SmolVLMForConditionalGeneration`]]),BO=new Map([[`llava`,`LlavaForConditionalGeneration`],[`llava_onevision`,`LlavaOnevisionForConditionalGeneration`],[`moondream1`,`Moondream1ForConditionalGeneration`],[`florence2`,`Florence2ForConditionalGeneration`],[`qwen2_vl`,`Qwen2VLForConditionalGeneration`],[`qwen2_5_vl`,`Qwen2_5_VLForConditionalGeneration`],[`qwen3_vl`,`Qwen3VLForConditionalGeneration`],[`qwen3_vl_moe`,`Qwen3VLMoeForConditionalGeneration`],[`qwen3_5`,`Qwen3_5ForConditionalGeneration`],[`qwen3_5_moe`,`Qwen3_5MoeForConditionalGeneration`],[`lfm2_vl`,`Lfm2VlForConditionalGeneration`],[`idefics3`,`Idefics3ForConditionalGeneration`],[`smolvlm`,`SmolVLMForConditionalGeneration`],[`paligemma`,`PaliGemmaForConditionalGeneration`],[`llava_qwen2`,`LlavaQwen2ForCausalLM`],[`gemma3`,`Gemma3ForConditionalGeneration`],[`gemma3n`,`Gemma3nForConditionalGeneration`],[`gemma4`,`Gemma4ForConditionalGeneration`],[`mistral3`,`Mistral3ForConditionalGeneration`],[`lighton_ocr`,`LightOnOcrForConditionalGeneration`],[`glm_ocr`,`GlmOcrForConditionalGeneration`]]),VO=new Map([[`granite_speech`,`GraniteSpeechForConditionalGeneration`],[`ultravox`,`UltravoxModel`],[`voxtral`,`VoxtralForConditionalGeneration`],[`voxtral_realtime`,`VoxtralRealtimeForConditionalGeneration`]]),HO=new Map([[`vision-encoder-decoder`,`VisionEncoderDecoderModel`]]),UO=new Map([[`vit`,`ViTForImageClassification`],[`ijepa`,`IJepaForImageClassification`],[`pvt`,`PvtForImageClassification`],[`vit_msn`,`ViTMSNForImageClassification`],[`fastvit`,`FastViTForImageClassification`],[`mobilevit`,`MobileViTForImageClassification`],[`mobilevitv2`,`MobileViTV2ForImageClassification`],[`beit`,`BeitForImageClassification`],[`deit`,`DeiTForImageClassification`],[`hiera`,`HieraForImageClassification`],[`convnext`,`ConvNextForImageClassification`],[`convnextv2`,`ConvNextV2ForImageClassification`],[`dinov2`,`Dinov2ForImageClassification`],[`dinov2_with_registers`,`Dinov2WithRegistersForImageClassification`],[`resnet`,`ResNetForImageClassification`],[`swin`,`SwinForImageClassification`],[`segformer`,`SegformerForImageClassification`],[`efficientnet`,`EfficientNetForImageClassification`],[`mobilenet_v1`,`MobileNetV1ForImageClassification`],[`mobilenet_v2`,`MobileNetV2ForImageClassification`],[`mobilenet_v3`,`MobileNetV3ForImageClassification`],[`mobilenet_v4`,`MobileNetV4ForImageClassification`]]),WO=new Map([[`detr`,`DetrForObjectDetection`],[`rt_detr`,`RTDetrForObjectDetection`],[`rt_detr_v2`,`RTDetrV2ForObjectDetection`],[`rf_detr`,`RFDetrForObjectDetection`],[`d_fine`,`DFineForObjectDetection`],[`table-transformer`,`TableTransformerForObjectDetection`],[`yolos`,`YolosForObjectDetection`]]),GO=new Map([[`owlvit`,`OwlViTForObjectDetection`],[`owlv2`,`Owlv2ForObjectDetection`],[`grounding-dino`,`GroundingDinoForObjectDetection`]]),KO=new Map([[`detr`,`DetrForSegmentation`],[`clipseg`,`CLIPSegForImageSegmentation`]]),qO=new Map([[`segformer`,`SegformerForSemanticSegmentation`],[`sapiens`,`SapiensForSemanticSegmentation`],[`swin`,`SwinForSemanticSegmentation`],[`mobilenet_v1`,`MobileNetV1ForSemanticSegmentation`],[`mobilenet_v2`,`MobileNetV2ForSemanticSegmentation`],[`mobilenet_v3`,`MobileNetV3ForSemanticSegmentation`],[`mobilenet_v4`,`MobileNetV4ForSemanticSegmentation`]]),JO=new Map([[`detr`,`DetrForSegmentation`],[`maskformer`,`MaskFormerForInstanceSegmentation`]]),YO=new Map([[`sam`,`SamModel`],[`sam2`,`Sam2Model`],[`edgetam`,`EdgeTamModel`],[`sam3_tracker`,`Sam3TrackerModel`]]),XO=new Map([[`wav2vec2`,`Wav2Vec2ForCTC`],[`wav2vec2-bert`,`Wav2Vec2BertForCTC`],[`unispeech`,`UniSpeechForCTC`],[`unispeech-sat`,`UniSpeechSatForCTC`],[`wavlm`,`WavLMForCTC`],[`hubert`,`HubertForCTC`],[`parakeet_ctc`,`ParakeetForCTC`]]),ZO=new Map([[`wav2vec2`,`Wav2Vec2ForSequenceClassification`],[`wav2vec2-bert`,`Wav2Vec2BertForSequenceClassification`],[`unispeech`,`UniSpeechForSequenceClassification`],[`unispeech-sat`,`UniSpeechSatForSequenceClassification`],[`wavlm`,`WavLMForSequenceClassification`],[`hubert`,`HubertForSequenceClassification`],[`audio-spectrogram-transformer`,`ASTForAudioClassification`]]),QO=new Map([[`wavlm`,`WavLMForXVector`]]),$O=new Map([[`unispeech-sat`,`UniSpeechSatForAudioFrameClassification`],[`wavlm`,`WavLMForAudioFrameClassification`],[`wav2vec2`,`Wav2Vec2ForAudioFrameClassification`],[`pyannote`,`PyAnnoteForAudioFrameClassification`]]),ek=new Map([[`vitmatte`,`VitMatteForImageMatting`]]),tk=new Map([[`patchtst`,`PatchTSTForPrediction`],[`patchtsmixer`,`PatchTSMixerForPrediction`]]),nk=new Map([[`swin2sr`,`Swin2SRForImageSuperResolution`]]),rk=new Map([[`chmv2`,`CHMv2ForDepthEstimation`],[`dpt`,`DPTForDepthEstimation`],[`depth_anything`,`DepthAnythingForDepthEstimation`],[`glpn`,`GLPNForDepthEstimation`],[`sapiens`,`SapiensForDepthEstimation`],[`depth_pro`,`DepthProForDepthEstimation`],[`metric3d`,`Metric3DForDepthEstimation`],[`metric3dv2`,`Metric3Dv2ForDepthEstimation`]]),ik=new Map([[`sapiens`,`SapiensForNormalEstimation`]]),ak=new Map([[`vitpose`,`VitPoseForPoseEstimation`]]),ok=new Map([[`clip`,`CLIPVisionModelWithProjection`],[`siglip`,`SiglipVisionModel`],[`jina_clip`,`JinaCLIPVisionModel`]]),sk=[[TO,j.EncoderOnly],[EO,j.EncoderDecoder],[OO,j.DecoderOnlyWithoutHead],[DO,j.AutoEncoder],[MO,j.EncoderOnly],[NO,j.EncoderOnly],[PO,j.Seq2Seq],[kO,j.Seq2Seq],[FO,j.DecoderOnly],[IO,j.MultiModality],[LO,j.EncoderOnly],[RO,j.EncoderOnly],[zO,j.Vision2Seq],[BO,j.ImageTextToText],[VO,j.AudioTextToText],[UO,j.EncoderOnly],[KO,j.EncoderOnly],[JO,j.EncoderOnly],[qO,j.EncoderOnly],[ek,j.EncoderOnly],[tk,j.EncoderOnly],[nk,j.EncoderOnly],[rk,j.EncoderOnly],[ik,j.EncoderOnly],[ak,j.EncoderOnly],[WO,j.EncoderOnly],[GO,j.EncoderOnly],[YO,j.MaskGeneration],[XO,j.EncoderOnly],[ZO,j.EncoderOnly],[AO,j.Seq2Seq],[jO,j.EncoderOnly],[QO,j.EncoderOnly],[$O,j.EncoderOnly],[ok,j.EncoderOnly]];for(let[e,t]of sk)for(let n of e.values()){fg.set(n,t);let e=jg[n];mg.set(e,n),pg.set(n,e)}var ck=[[`MusicgenForConditionalGeneration`,GC,j.Musicgen],[`Phi3VForCausalLM`,Kw,j.Phi3V],[`CLIPTextModelWithProjection`,R_,j.EncoderOnly],[`SiglipTextModel`,lE,j.EncoderOnly],[`JinaCLIPTextModel`,Wx,j.EncoderOnly],[`ClapTextModelWithProjection`,N_,j.EncoderOnly],[`ClapAudioModelWithProjection`,P_,j.EncoderOnly],[`DacEncoderModel`,Tv,j.EncoderOnly],[`DacDecoderModel`,Ev,j.EncoderOnly],[`MimiEncoderModel`,NS,j.EncoderOnly],[`MimiDecoderModel`,PS,j.EncoderOnly],[`SnacEncoderModel`,gE,j.EncoderOnly],[`SnacDecoderModel`,_E,j.EncoderOnly],[`Gemma3nForConditionalGeneration`,xb,j.ImageAudioTextToText],[`Gemma4ForConditionalGeneration`,Cb,j.ImageAudioTextToText],[`SupertonicForConditionalGeneration`,BE,j.Supertonic],[`ChatterboxModel`,E_,j.Chatterbox],[`VoxtralRealtimeForConditionalGeneration`,VD,j.VoxtralRealtime]];for(let[e,t,n]of ck)fg.set(e,n),mg.set(t,e),pg.set(e,t);var lk=new Map([[`modnet`,KO],[`birefnet`,KO],[`isnet`,KO],[`ben`,KO]]);for(let[e,t]of lk.entries())t.set(e,`PreTrainedModel`),fg.set(e,j.EncoderOnly),pg.set(e,M);var uk=new Set(lk.keys());fg.set(`PreTrainedModel`,j.EncoderOnly),mg.set(M,`PreTrainedModel`);var dk={MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING_NAMES:MO,MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING_NAMES:NO,MODEL_FOR_TEXT_TO_SPECTROGRAM_MAPPING_NAMES:AO,MODEL_FOR_TEXT_TO_WAVEFORM_MAPPING_NAMES:jO,MODEL_FOR_MASKED_LM_MAPPING_NAMES:LO,MODEL_FOR_QUESTION_ANSWERING_MAPPING_NAMES:RO,MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING_NAMES:UO,MODEL_FOR_IMAGE_SEGMENTATION_MAPPING_NAMES:KO,MODEL_FOR_SEMANTIC_SEGMENTATION_MAPPING_NAMES:qO,MODEL_FOR_UNIVERSAL_SEGMENTATION_MAPPING_NAMES:JO,MODEL_FOR_OBJECT_DETECTION_MAPPING_NAMES:WO,MODEL_FOR_ZERO_SHOT_OBJECT_DETECTION_MAPPING_NAMES:GO,MODEL_FOR_MASK_GENERATION_MAPPING_NAMES:YO,MODEL_FOR_CTC_MAPPING_NAMES:XO,MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING_NAMES:ZO,MODEL_FOR_AUDIO_XVECTOR_MAPPING_NAMES:QO,MODEL_FOR_AUDIO_FRAME_CLASSIFICATION_MAPPING_NAMES:$O,MODEL_FOR_DOCUMENT_QUESTION_ANSWERING_MAPPING_NAMES:HO,MODEL_FOR_IMAGE_MATTING_MAPPING_NAMES:ek,MODEL_FOR_IMAGE_TO_IMAGE_MAPPING_NAMES:nk,MODEL_FOR_DEPTH_ESTIMATION_MAPPING_NAMES:rk,MODEL_FOR_NORMAL_ESTIMATION_MAPPING_NAMES:ik,MODEL_FOR_POSE_ESTIMATION_MAPPING_NAMES:ak,MODEL_FOR_IMAGE_FEATURE_EXTRACTION_MAPPING_NAMES:ok,MODEL_FOR_IMAGE_TEXT_TO_TEXT_MAPPING_NAMES:BO,MODEL_FOR_AUDIO_TEXT_TO_TEXT_MAPPING_NAMES:VO,MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING_NAMES:PO,MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING_NAMES:kO,MODEL_FOR_CAUSAL_LM_MAPPING_NAMES:FO,MODEL_FOR_VISION_2_SEQ_MAPPING_NAMES:zO};sg(dk);var fk=class{static MODEL_CLASS_MAPPINGS=null;static BASE_IF_FAIL=!1;static supports(e){if(!this.MODEL_CLASS_MAPPINGS)return!1;for(let t of this.MODEL_CLASS_MAPPINGS)if(t.has(e))return!0;return this.BASE_IF_FAIL}static async from_pretrained(e,{progress_callback:t=null,config:n=null,cache_dir:r=null,local_files_only:i=!1,revision:a=`main`,model_file_name:o=null,subfolder:s=`onnx`,device:c=null,dtype:l=null,use_external_data_format:u=null,session_options:d={}}={}){let f={progress_callback:t,config:n,cache_dir:r,local_files_only:i,revision:a,model_file_name:o,subfolder:s,device:c,dtype:l,use_external_data_format:u,session_options:d};if(f.config=await fh.from_pretrained(e,f),!this.MODEL_CLASS_MAPPINGS)throw Error("`MODEL_CLASS_MAPPINGS` not implemented for this type of `AutoClass`: "+this.name);let{model_type:p}=f.config;for(let t of this.MODEL_CLASS_MAPPINGS){let n=t.get(p);if(!n){for(let e of t.values())if(e[0]===p){n=e;break}if(!n)continue}return await jg[n].from_pretrained(e,f)}if(this.BASE_IF_FAIL)return uk.has(p)||zi.warn(`Unknown model class "${p}", attempting to construct from base class.`),await M.from_pretrained(e,f);throw Error(`Unsupported model type: ${p}`)}},pk=class extends fk{static MODEL_CLASS_MAPPINGS=sk.map(e=>e[0]);static BASE_IF_FAIL=!0},mk=class extends fk{static MODEL_CLASS_MAPPINGS=[dk.MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING_NAMES]},hk=class extends fk{static MODEL_CLASS_MAPPINGS=[dk.MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING_NAMES]},gk=class extends fk{static MODEL_CLASS_MAPPINGS=[dk.MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING_NAMES]},_k=class extends fk{static MODEL_CLASS_MAPPINGS=[dk.MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING_NAMES]},vk=class extends fk{static MODEL_CLASS_MAPPINGS=[dk.MODEL_FOR_TEXT_TO_SPECTROGRAM_MAPPING_NAMES]},yk=class extends fk{static MODEL_CLASS_MAPPINGS=[dk.MODEL_FOR_TEXT_TO_WAVEFORM_MAPPING_NAMES]},bk=class extends fk{static MODEL_CLASS_MAPPINGS=[dk.MODEL_FOR_CAUSAL_LM_MAPPING_NAMES]},xk=class extends fk{static MODEL_CLASS_MAPPINGS=[dk.MODEL_FOR_MASKED_LM_MAPPING_NAMES]},Sk=class extends fk{static MODEL_CLASS_MAPPINGS=[dk.MODEL_FOR_QUESTION_ANSWERING_MAPPING_NAMES]},Ck=class extends fk{static MODEL_CLASS_MAPPINGS=[dk.MODEL_FOR_VISION_2_SEQ_MAPPING_NAMES]},wk=class extends fk{static MODEL_CLASS_MAPPINGS=[dk.MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING_NAMES]},Tk=class extends fk{static MODEL_CLASS_MAPPINGS=[dk.MODEL_FOR_IMAGE_SEGMENTATION_MAPPING_NAMES]},Ek=class extends fk{static MODEL_CLASS_MAPPINGS=[dk.MODEL_FOR_SEMANTIC_SEGMENTATION_MAPPING_NAMES]},Dk=class extends fk{static MODEL_CLASS_MAPPINGS=[dk.MODEL_FOR_UNIVERSAL_SEGMENTATION_MAPPING_NAMES]},Ok=class extends fk{static MODEL_CLASS_MAPPINGS=[dk.MODEL_FOR_OBJECT_DETECTION_MAPPING_NAMES]},kk=class extends fk{static MODEL_CLASS_MAPPINGS=[dk.MODEL_FOR_ZERO_SHOT_OBJECT_DETECTION_MAPPING_NAMES]};(class extends fk{static MODEL_CLASS_MAPPINGS=[dk.MODEL_FOR_MASK_GENERATION_MAPPING_NAMES]});var Ak=class extends fk{static MODEL_CLASS_MAPPINGS=[dk.MODEL_FOR_CTC_MAPPING_NAMES]},jk=class extends fk{static MODEL_CLASS_MAPPINGS=[dk.MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING_NAMES]};(class extends fk{static MODEL_CLASS_MAPPINGS=[dk.MODEL_FOR_AUDIO_XVECTOR_MAPPING_NAMES]}),class extends fk{static MODEL_CLASS_MAPPINGS=[dk.MODEL_FOR_AUDIO_FRAME_CLASSIFICATION_MAPPING_NAMES]};var Mk=class extends fk{static MODEL_CLASS_MAPPINGS=[dk.MODEL_FOR_DOCUMENT_QUESTION_ANSWERING_MAPPING_NAMES]};(class extends fk{static MODEL_CLASS_MAPPINGS=[dk.MODEL_FOR_IMAGE_MATTING_MAPPING_NAMES]});var Nk=class extends fk{static MODEL_CLASS_MAPPINGS=[dk.MODEL_FOR_IMAGE_TO_IMAGE_MAPPING_NAMES]},Pk=class extends fk{static MODEL_CLASS_MAPPINGS=[dk.MODEL_FOR_DEPTH_ESTIMATION_MAPPING_NAMES]};(class extends fk{static MODEL_CLASS_MAPPINGS=[dk.MODEL_FOR_NORMAL_ESTIMATION_MAPPING_NAMES]}),class extends fk{static MODEL_CLASS_MAPPINGS=[dk.MODEL_FOR_POSE_ESTIMATION_MAPPING_NAMES]};var Fk=class extends fk{static MODEL_CLASS_MAPPINGS=[dk.MODEL_FOR_IMAGE_FEATURE_EXTRACTION_MAPPING_NAMES]};(class extends fk{static MODEL_CLASS_MAPPINGS=[dk.MODEL_FOR_IMAGE_TEXT_TO_TEXT_MAPPING_NAMES]}),class extends fk{static MODEL_CLASS_MAPPINGS=[dk.MODEL_FOR_AUDIO_TEXT_TO_TEXT_MAPPING_NAMES]};async function Ik(e){return Array.isArray(e)||(e=[e]),await Promise.all(e.map(e=>Df.read(e)))}async function Lk(e,t){return Array.isArray(e)||(e=[e]),await Promise.all(e.map(e=>typeof e==`string`||e instanceof URL?Ad(e,t):e instanceof Float64Array?new Float32Array(e):e))}function Rk(e,t){t&&(e=e.map(e=>e|0));let[n,r,i,a]=e;return{xmin:n,ymin:r,xmax:i,ymax:a}}var zk=class extends Oi{constructor({task:e,model:t,tokenizer:n=null,processor:r=null}){super(),this.task=e,this.model=t,this.tokenizer=n,this.processor=r}async dispose(){await this.model.dispose()}},Bk=class extends zk{async _call(e,{top_k:t=1}={}){let n=this.tokenizer(e,{padding:!0,truncation:!0}),r=await this.model(n),{problem_type:i,id2label:a}=this.model.config,o=i===`multi_label_classification`?e=>e.sigmoid():e=>new A(`float32`,Vc(e.data),e.dims),s=[];for(let e of r.logits){let n=await Bl(o(e),t),r=n[0].tolist(),i=n[1].tolist().map((e,t)=>({label:a?a[e]:`LABEL_${e}`,score:r[t]}));t===1?s.push(...i):s.push(i)}return Array.isArray(e)||t===1?s:s[0]}},Vk=class extends zk{async _call(e,{ignore_labels:t=[`O`]}={}){let n=Array.isArray(e),r=this.tokenizer(n?e:[e],{padding:!0,truncation:!0}),i=(await this.model(r)).logits,a=this.model.config.id2label,o=[];for(let e=0;ee==u),i=a[e].tolist(),f=o[e].tolist();for(let n=1;ne==t[n])!==-1)&&(i[n]=-1/0,f[n]=-1/0);let p=Vc(i).map((e,t)=>[e,t]),m=Vc(f).map((e,t)=>[e,t]);p[0][0]=0,m[0][0]=0;let h=Fi(p,m).filter(e=>e[0][1]<=e[1][1]).map(e=>[e[0][1],e[1][1],e[0][0]*e[1][0]]).sort((e,t)=>t[2]-e[2]),g=[];for(let e=0;ee==n);if(c===-1)throw Error(`Mask token (${r}) not found in text.`);let l=a[e][c],u=await Bl(new A(`float32`,Vc(l.data),l.dims),t),d=u[0].tolist(),f=u[1].tolist();o.push(f.map((e,t)=>{let n=i.slice();return n[c]=e,{score:d[t],token:Number(e),token_str:this.tokenizer.decode([e]),sequence:this.tokenizer.decode(n,{skip_special_tokens:!0})}}))}return Array.isArray(e)?o:o[0]}},Wk=class extends zk{_key=`generated_text`;async _call(e,t={}){Array.isArray(e)||(e=[e]),this.model.config.prefix&&(e=e.map(e=>this.model.config.prefix+e));let n=this.model.config.task_specific_params;n&&n[this.task]&&n[this.task].prefix&&(e=e.map(e=>n[this.task].prefix+e));let r=this.tokenizer,i={padding:!0,truncation:!0},a;a=this.task===`translation`&&`_build_translation_inputs`in r?r._build_translation_inputs(e,i,t):r(e,i);let o=await this.model.generate({...a,...t});return r.batch_decode(o,{skip_special_tokens:!0}).map(e=>({[this._key]:e}))}},Gk=class extends Wk{_key=`summary_text`},Kk=class extends Wk{_key=`translation_text`};function qk(e){return Array.isArray(e)&&e.every(e=>`role`in e&&`content`in e)}var Jk=class extends zk{async _call(e,t={}){let n=!1,r=!1,i=t.add_special_tokens??(this.tokenizer.add_bos_token||this.tokenizer.add_eos_token)??!1,a=t.tokenizer_encode_kwargs,o;if(typeof e==`string`)o=e=[e];else if(Array.isArray(e)&&e.every(e=>typeof e==`string`))n=!0,o=e;else{if(qk(e))e=[e];else if(Array.isArray(e)&&e.every(qk))n=!0;else throw Error(`Input must be a string, an array of strings, a Chat, or an array of Chats`);r=!0,o=e.map(e=>this.tokenizer.apply_chat_template(e,{tokenize:!1,add_generation_prompt:!0,...a})),i=!1,a=void 0}let s=r?!1:t.return_full_text??!0;this.tokenizer.padding_side=`left`;let c=this.tokenizer(o,{add_special_tokens:i,padding:!0,truncation:!0,...a}),l=await this.model.generate({...c,...t}),u=this.tokenizer.batch_decode(l,{skip_special_tokens:!0}),d;!s&&c.input_ids.dims.at(-1)>0&&(d=this.tokenizer.batch_decode(c.input_ids,{skip_special_tokens:!0}).map(e=>e.length));let f=Array.from({length:e.length},e=>[]);for(let t=0;t[e.toLowerCase(),t])),this.entailment_id=this.label2id.entailment,this.entailment_id===void 0&&(zi.warn(`Could not find 'entailment' in label2id mapping. Using 2 as entailment_id.`),this.entailment_id=2),this.contradiction_id=this.label2id.contradiction??this.label2id.not_entailment,this.contradiction_id===void 0&&(zi.warn(`Could not find 'contradiction' in label2id mapping. Using 0 as contradiction_id.`),this.contradiction_id=0)}async _call(e,t,{hypothesis_template:n=`This example is {}.`,multi_label:r=!1}={}){let i=Array.isArray(e);i||(e=[e]),Array.isArray(t)||(t=[t]);let a=t.map(e=>n.replace(`{}`,e)),o=r||t.length===1,s=[];for(let n of e){let e=[];for(let t of a){let r=this.tokenizer(n,{text_pair:t,padding:!0,truncation:!0}),i=await this.model(r);o?e.push([i.logits.data[this.contradiction_id],i.logits.data[this.entailment_id]]):e.push(i.logits.data[this.entailment_id])}let r=(o?e.map(e=>Vc(e)[1]):Vc(e)).map((e,t)=>[e,t]).sort((e,t)=>t[0]-e[0]);s.push({sequence:n,labels:r.map(e=>t[e[1]]),scores:r.map(e=>e[0])})}return i?s:s[0]}},Xk=class extends zk{async _call(e,{top_k:t=5}={}){let n=this.processor.feature_extractor.config.sampling_rate,r=await Lk(e,n),i=this.model.config.id2label,a=[];for(let e of r){let n=await this.processor(e),r=(await this.model(n)).logits[0],o=await Bl(new A(`float32`,Vc(r.data),r.dims),t),s=o[0].tolist(),c=o[1].tolist().map((e,t)=>({label:i?i[e]:`LABEL_${e}`,score:s[t]}));a.push(c)}return Array.isArray(e)?a:a[0]}},Zk=class extends zk{async _call(e,t,{hypothesis_template:n=`This is a sound of {}.`}={}){let r=!Array.isArray(e);r&&(e=[e]);let i=t.map(e=>n.replace(`{}`,e)),a=this.tokenizer(i,{padding:!0,truncation:!0}),o=this.processor.feature_extractor.config.sampling_rate,s=await Lk(e,o),c=[];for(let e of s){let n=await this.processor(e),r=Vc((await this.model({...a,...n})).logits_per_audio.data);c.push([...r].map((e,n)=>({score:e,label:t[n]})))}return r?c[0]:c}},Qk=class extends zk{async _call(e,t={}){switch(this.model.config.model_type){case`whisper`:case`lite-whisper`:return this._call_whisper(e,t);case`wav2vec2`:case`wav2vec2-bert`:case`unispeech`:case`unispeech-sat`:case`hubert`:case`parakeet_ctc`:return this._call_wav2vec2(e,t);case`moonshine`:return this._call_moonshine(e,t);case`cohere_asr`:return this._call_cohere_asr(e,t);default:throw Error(`AutomaticSpeechRecognitionPipeline does not support model type '${this.model.config.model_type}'.`)}}async _call_wav2vec2(e,t){t.language&&zi.warn('`language` parameter is not yet supported for `wav2vec2` models, defaulting to "English".'),t.task&&zi.warn('`task` parameter is not yet supported for `wav2vec2` models, defaulting to "transcribe".');let n=!Array.isArray(e),r=n?[e]:e,i=this.processor.feature_extractor.config.sampling_rate,a=await Lk(r,i),o=[];for(let e of a){let t=await this.processor(e),n=(await this.model(t)).logits[0],r=[];for(let e of n)r.push(Wc(e.data)[1]);let i=this.tokenizer.decode(r,{skip_special_tokens:!0}).trim();o.push({text:i})}return n?o[0]:o}async _call_whisper(e,t){let n=t.return_timestamps??!1,r=t.chunk_length_s??0,i=t.force_full_sequences??!1,a=t.stride_length_s??null,o={...t};n===`word`&&(o.return_token_timestamps=!0,o.return_timestamps=!0);let s=!Array.isArray(e),c=s?[e]:e,l=this.processor.feature_extractor.config,u=l.chunk_length/this.model.config.max_source_positions,d=l.hop_length,f=l.sampling_rate,p=await Lk(c,f),m=[];for(let e of p){let t=[];if(r>0){if(a===null)a=r/6;else if(r<=a)throw Error("`chunk_length_s` must be larger than `stride_length_s`.");let n=f*r,i=f*a,o=n-2*i,s=0;for(;;){let r=s+n,a=e.subarray(s,r),c=await this.processor(a),l=s===0,u=r>=e.length;if(t.push({stride:[a.length,l?0:i,u?0:i],input_features:c.input_features,is_last:u}),u)break;s+=o}}else t=[{stride:[e.length,0,0],input_features:(await this.processor(e)).input_features,is_last:!0}];for(let e of t){o.num_frames=Math.floor(e.stride[0]/d);let t=await this.model.generate({inputs:e.input_features,...o});if(n===`word`){let n=t.sequences.tolist()[0],r=t.token_timestamps.tolist()[0],i=this.tokenizer.timestamp_begin,a=Math.max(n.findIndex(e=>Number(e)>=i),0);e.tokens=n.slice(a),e.token_timestamps=r.slice(a).map(e=>Xc(e,2))}else e.tokens=t[0].tolist();e.stride=e.stride.map(e=>e/f)}let[s,c]=this.tokenizer._decode_asr(t,{time_precision:u,return_timestamps:n,force_full_sequences:i});m.push({text:s,...c})}return s?m[0]:m}async _call_moonshine(e,t){let n=!Array.isArray(e),r=n?[e]:e,i=this.processor.feature_extractor.config.sampling_rate,a=await Lk(r,i),o=[];for(let e of a){let n=await this.processor(e),r=Math.floor(e.length/i)*6,a=await this.model.generate({max_new_tokens:r,...t,...n}),s=this.processor.batch_decode(a,{skip_special_tokens:!0})[0];o.push({text:s})}return n?o[0]:o}async _call_cohere_asr(e,t){let n=!Array.isArray(e),r=n?[e]:e,i=this.processor.feature_extractor,a=i.config.sampling_rate,o=await Lk(r,a),s=t.language??`en`,c=this.processor.get_decoder_prompt_ids(s),l=[];for(let e of o){let n=i.split_audio(e),r=[];for(let e of n){let n=await this.processor(e),i=await this.model.generate({...n,decoder_input_ids:c,...t}),a=this.tokenizer.decode(i[0].tolist(),{skip_special_tokens:!0}).trim();r.push(a)}let a=this.processor.constructor.join_chunks(r,s);l.push({text:a})}return n?l[0]:l}},$k=class extends zk{DEFAULT_VOCODER_ID=`Xenova/speecht5_hifigan`;constructor(e){super(e),this.vocoder=e.vocoder??null}async _prepare_speaker_embeddings(e,t){if((typeof e==`string`||e instanceof URL)&&(e=new Float32Array(await(await Ei.fetch(e)).arrayBuffer())),e instanceof Float32Array)e=new A(`float32`,e,[e.length]);else if(!(e instanceof A))throw Error("Speaker embeddings must be a `Tensor`, `Float32Array`, `string`, or `URL`.");if(t>1){if(e.dims[0]===1)e=e.repeat(t,1);else if(e.dims[0]!==t)throw Error(`Expected speaker embeddings batch size to be 1 or ${t}, but got ${e.dims[0]}.`)}return e}_postprocess_waveform(e,t,n,r=null){let i=t.data,[a,o]=t.dims,s=r?r.data:null,c=[];for(let e=0;e({generated_text:e.trim()}));a.push(r)}return n?a:a[0]}},tA=class extends zk{async _call(e,{top_k:t=5}={}){let n=await Ik(e),{pixel_values:r}=await this.processor(n),i=await this.model({pixel_values:r}),{id2label:a}=this.model.config,o=[];for(let e of i.logits){let n=await Bl(new A(`float32`,Vc(e.data),e.dims),t),r=n[0].tolist(),i=n[1].tolist().map((e,t)=>({label:a?a[e]:`LABEL_${e}`,score:r[t]}));o.push(i)}return Array.isArray(e)?o:o[0]}},nA={panoptic:`post_process_panoptic_segmentation`,instance:`post_process_instance_segmentation`,semantic:`post_process_semantic_segmentation`},rA=class extends zk{async _call(e,{threshold:t=.5,mask_threshold:n=.5,overlap_mask_area_threshold:r=.8,label_ids_to_fuse:i=null,target_sizes:a=null,subtask:o=null}={}){if(Array.isArray(e)&&e.length!==1)throw Error(`Image segmentation pipeline currently only supports a batch size of 1.`);let s=await Ik(e),c=s.map(e=>[e.height,e.width]),l=await this.processor(s),{inputNames:u,outputNames:d}=this.model.sessions.model;if(!u.includes(`pixel_values`)){if(u.length!==1)throw Error(`Expected a single input name, but got ${u.length} inputs: ${u}.`);let e=u[0];if(e in l)throw Error(`Input 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Uint16Array(`ᵁ<Õıʊҝջאٵ۞ޢߖࠏ੊ઑඡ๭༉༦჊ረዡᐕᒝᓃᓟᔥ\0\0\0\0\0\0ᕫᛍᦍᰒᷝ὾⁠↰⊍⏀⏻⑂⠤⤒ⴈ⹈⿎〖㊺㘹㞬㣾㨨㩱㫠㬮ࠀEMabcfglmnoprstu\\bfms„‹•˜¦³¹ÈÏlig耻Æ䃆P耻&䀦cute耻Á䃁reve;䄂Āiyx}rc耻Â䃂;䐐r;쀀𝔄rave耻À䃀pha;䎑acr;䄀d;橓Āgp¡on;䄄f;쀀𝔸plyFunction;恡ing耻Å䃅Ācs¾Ãr;쀀𝒜ign;扔ilde耻Ã䃃ml耻Ä䃄ЀaceforsuåûþėĜĢħĪĀcrêòkslash;或Ŷöø;櫧ed;挆y;䐑ƀcrtąċĔause;戵noullis;愬a;䎒r;쀀𝔅pf;쀀𝔹eve;䋘còēmpeq;扎܀HOacdefhilorsuōőŖƀƞƢƵƷƺǜȕɳɸɾcy;䐧PY耻©䂩ƀcpyŝŢźute;䄆Ā;iŧŨ拒talDifferentialD;慅leys;愭ȀaeioƉƎƔƘron;䄌dil耻Ç䃇rc;䄈nint;戰ot;䄊ĀdnƧƭilla;䂸terDot;䂷òſi;䎧rcleȀDMPTLJNjǑǖot;抙inus;抖lus;投imes;抗oĀcsǢǸkwiseContourIntegral;戲eCurlyĀDQȃȏoubleQuote;思uote;怙ȀlnpuȞȨɇɕonĀ;eȥȦ户;橴ƀgitȯȶȺruent;扡nt;戯ourIntegral;戮ĀfrɌɎ;愂oduct;成nterClockwiseContourIntegral;戳oss;樯cr;쀀𝒞pĀ;Cʄʅ拓ap;才րDJSZacefiosʠʬʰʴʸˋ˗ˡ˦̳ҍĀ;oŹʥtrahd;椑cy;䐂cy;䐅cy;䐏ƀgrsʿ˄ˇger;怡r;憡hv;櫤Āayː˕ron;䄎;䐔lĀ;t˝˞戇a;䎔r;쀀𝔇Āaf˫̧Ācm˰̢riticalȀADGT̖̜̀̆cute;䂴oŴ̋̍;䋙bleAcute;䋝rave;䁠ilde;䋜ond;拄ferentialD;慆Ѱ̽\0\0\0͔͂\0Ѕf;쀀𝔻ƀ;DE͈͉͍䂨ot;惜qual;扐blèCDLRUVͣͲ΂ϏϢϸontourIntegraìȹoɴ͹\0\0ͻ»͉nArrow;懓Āeo·ΤftƀARTΐΖΡrrow;懐ightArrow;懔eåˊngĀLRΫτeftĀARγιrrow;柸ightArrow;柺ightArrow;柹ightĀATϘϞrrow;懒ee;抨pɁϩ\0\0ϯrrow;懑ownArrow;懕erticalBar;戥ǹABLRTaВЪаўѿͼrrowƀ;BUНОТ憓ar;椓pArrow;懵reve;䌑eft˒к\0ц\0ѐightVector;楐eeVector;楞ectorĀ;Bљњ憽ar;楖ightǔѧ\0ѱeeVector;楟ectorĀ;BѺѻ懁ar;楗eeĀ;A҆҇护rrow;憧ĀctҒҗr;쀀𝒟rok;䄐ࠀNTacdfglmopqstuxҽӀӄӋӞӢӧӮӵԡԯԶՒ՝ՠեG;䅊H耻Ð䃐cute耻É䃉ƀaiyӒӗӜron;䄚rc耻Ê䃊;䐭ot;䄖r;쀀𝔈rave耻È䃈ement;戈ĀapӺӾcr;䄒tyɓԆ\0\0ԒmallSquare;旻erySmallSquare;斫ĀgpԦԪon;䄘f;쀀𝔼silon;䎕uĀaiԼՉlĀ;TՂՃ橵ilde;扂librium;懌Āci՗՚r;愰m;橳a;䎗ml耻Ë䃋Āipժկsts;戃onentialE;慇ʀcfiosօֈ֍ֲ׌y;䐤r;쀀𝔉lledɓ֗\0\0֣mallSquare;旼erySmallSquare;斪Ͱֺ\0ֿ\0\0ׄf;쀀𝔽All;戀riertrf;愱cò׋؀JTabcdfgorstר׬ׯ׺؀ؒؖ؛؝أ٬ٲcy;䐃耻>䀾mmaĀ;d׷׸䎓;䏜reve;䄞ƀeiy؇،ؐdil;䄢rc;䄜;䐓ot;䄠r;쀀𝔊;拙pf;쀀𝔾eater̀EFGLSTصلَٖٛ٦qualĀ;Lؾؿ扥ess;招ullEqual;执reater;檢ess;扷lantEqual;橾ilde;扳cr;쀀𝒢;扫ЀAacfiosuڅڋږڛڞڪھۊRDcy;䐪Āctڐڔek;䋇;䁞irc;䄤r;愌lbertSpace;愋ǰگ\0ڲf;愍izontalLine;攀Āctۃۅòکrok;䄦mpńېۘownHumðįqual;扏܀EJOacdfgmnostuۺ۾܃܇܎ܚܞܡܨ݄ݸދޏޕcy;䐕lig;䄲cy;䐁cute耻Í䃍Āiyܓܘrc耻Î䃎;䐘ot;䄰r;愑rave耻Ì䃌ƀ;apܠܯܿĀcgܴܷr;䄪inaryI;慈lieóϝǴ݉\0ݢĀ;eݍݎ戬Āgrݓݘral;戫section;拂isibleĀCTݬݲomma;恣imes;恢ƀgptݿރވon;䄮f;쀀𝕀a;䎙cr;愐ilde;䄨ǫޚ\0ޞcy;䐆l耻Ï䃏ʀcfosuެ޷޼߂ߐĀiyޱ޵rc;䄴;䐙r;쀀𝔍pf;쀀𝕁ǣ߇\0ߌr;쀀𝒥rcy;䐈kcy;䐄΀HJacfosߤߨ߽߬߱ࠂࠈcy;䐥cy;䐌ppa;䎚Āey߶߻dil;䄶;䐚r;쀀𝔎pf;쀀𝕂cr;쀀𝒦րJTaceflmostࠥࠩࠬࡐࡣ঳সে্਷ੇcy;䐉耻<䀼ʀcmnpr࠷࠼ࡁࡄࡍute;䄹bda;䎛g;柪lacetrf;愒r;憞ƀaeyࡗ࡜ࡡron;䄽dil;䄻;䐛Āfsࡨ॰tԀACDFRTUVarࡾࢩࢱࣦ࣠ࣼयज़ΐ४Ānrࢃ࢏gleBracket;柨rowƀ;BR࢙࢚࢞憐ar;懤ightArrow;懆eiling;挈oǵࢷ\0ࣃbleBracket;柦nǔࣈ\0࣒eeVector;楡ectorĀ;Bࣛࣜ懃ar;楙loor;挊ightĀAV࣯ࣵrrow;憔ector;楎Āerँगeƀ;AVउऊऐ抣rrow;憤ector;楚iangleƀ;BEतथऩ抲ar;槏qual;抴pƀDTVषूौownVector;楑eeVector;楠ectorĀ;Bॖॗ憿ar;楘ectorĀ;B॥०憼ar;楒ightáΜs̀EFGLSTॾঋকঝঢভqualGreater;拚ullEqual;扦reater;扶ess;檡lantEqual;橽ilde;扲r;쀀𝔏Ā;eঽা拘ftarrow;懚idot;䄿ƀnpw৔ਖਛgȀLRlr৞৷ਂਐeftĀAR০৬rrow;柵ightArrow;柷ightArrow;柶eftĀarγਊightáοightáϊf;쀀𝕃erĀLRਢਬeftArrow;憙ightArrow;憘ƀchtਾੀੂòࡌ;憰rok;䅁;扪Ѐacefiosuਗ਼੝੠੷੼અઋ઎p;椅y;䐜Ādl੥੯iumSpace;恟lintrf;愳r;쀀𝔐nusPlus;戓pf;쀀𝕄cò੶;䎜ҀJacefostuણધભીଔଙඑ඗ඞcy;䐊cute;䅃ƀaey઴હાron;䅇dil;䅅;䐝ƀgswે૰଎ativeƀMTV૓૟૨ediumSpace;怋hiĀcn૦૘ë૙eryThiî૙tedĀGL૸ଆreaterGreateòٳessLesóੈLine;䀊r;쀀𝔑ȀBnptଢନଷ଺reak;恠BreakingSpace;䂠f;愕ڀ;CDEGHLNPRSTV୕ୖ୪୼஡௫ఄ౞಄ದ೘ൡඅ櫬Āou୛୤ngruent;扢pCap;扭oubleVerticalBar;戦ƀlqxஃஊ஛ement;戉ualĀ;Tஒஓ扠ilde;쀀≂̸ists;戄reater΀;EFGLSTஶஷ஽௉௓௘௥扯qual;扱ullEqual;쀀≧̸reater;쀀≫̸ess;批lantEqual;쀀⩾̸ilde;扵umpń௲௽ownHump;쀀≎̸qual;쀀≏̸eĀfsఊధtTriangleƀ;BEచఛడ拪ar;쀀⧏̸qual;括s̀;EGLSTవశ఼ౄోౘ扮qual;扰reater;扸ess;쀀≪̸lantEqual;쀀⩽̸ilde;扴estedĀGL౨౹reaterGreater;쀀⪢̸essLess;쀀⪡̸recedesƀ;ESಒಓಛ技qual;쀀⪯̸lantEqual;拠ĀeiಫಹverseElement;戌ghtTriangleƀ;BEೋೌ೒拫ar;쀀⧐̸qual;拭ĀquೝഌuareSuĀbp೨೹setĀ;E೰ೳ쀀⊏̸qual;拢ersetĀ;Eഃആ쀀⊐̸qual;拣ƀbcpഓതൎsetĀ;Eഛഞ쀀⊂⃒qual;抈ceedsȀ;ESTലള഻െ抁qual;쀀⪰̸lantEqual;拡ilde;쀀≿̸ersetĀ;E൘൛쀀⊃⃒qual;抉ildeȀ;EFT൮൯൵ൿ扁qual;扄ullEqual;扇ilde;扉erticalBar;戤cr;쀀𝒩ilde耻Ñ䃑;䎝܀Eacdfgmoprstuvලෂ෉෕ෛ෠෧෼ขภยา฿ไlig;䅒cute耻Ó䃓Āiy෎ීrc耻Ô䃔;䐞blac;䅐r;쀀𝔒rave耻Ò䃒ƀaei෮ෲ෶cr;䅌ga;䎩cron;䎟pf;쀀𝕆enCurlyĀDQฎบoubleQuote;怜uote;怘;橔Āclวฬr;쀀𝒪ash耻Ø䃘iŬื฼de耻Õ䃕es;樷ml耻Ö䃖erĀBP๋๠Āar๐๓r;怾acĀek๚๜;揞et;掴arenthesis;揜Ҁacfhilors๿ງຊຏຒດຝະ໼rtialD;戂y;䐟r;쀀𝔓i;䎦;䎠usMinus;䂱Āipຢອncareplanåڝf;愙Ȁ;eio຺ູ໠໤檻cedesȀ;EST່້໏໚扺qual;檯lantEqual;扼ilde;找me;怳Ādp໩໮uct;戏ortionĀ;aȥ໹l;戝Āci༁༆r;쀀𝒫;䎨ȀUfos༑༖༛༟OT耻"䀢r;쀀𝔔pf;愚cr;쀀𝒬؀BEacefhiorsu༾གྷཇའཱིྦྷྪྭ႖ႩႴႾarr;椐G耻®䂮ƀcnrཎནབute;䅔g;柫rĀ;tཛྷཝ憠l;椖ƀaeyཧཬཱron;䅘dil;䅖;䐠Ā;vླྀཹ愜erseĀEUྂྙĀlq྇ྎement;戋uilibrium;懋pEquilibrium;楯r»ཹo;䎡ghtЀACDFTUVa࿁࿫࿳ဢဨၛႇϘĀnr࿆࿒gleBracket;柩rowƀ;BL࿜࿝࿡憒ar;懥eftArrow;懄eiling;按oǵ࿹\0စbleBracket;柧nǔည\0နeeVector;楝ectorĀ;Bဝသ懂ar;楕loor;挋Āerိ၃eƀ;AVဵံြ抢rrow;憦ector;楛iangleƀ;BEၐၑၕ抳ar;槐qual;抵pƀDTVၣၮၸownVector;楏eeVector;楜ectorĀ;Bႂႃ憾ar;楔ectorĀ;B႑႒懀ar;楓Āpuႛ႞f;愝ndImplies;楰ightarrow;懛ĀchႹႼr;愛;憱leDelayed;槴ڀHOacfhimoqstuფჱჷჽᄙᄞᅑᅖᅡᅧᆵᆻᆿĀCcჩხHcy;䐩y;䐨FTcy;䐬cute;䅚ʀ;aeiyᄈᄉᄎᄓᄗ檼ron;䅠dil;䅞rc;䅜;䐡r;쀀𝔖ortȀDLRUᄪᄴᄾᅉownArrow»ОeftArrow»࢚ightArrow»࿝pArrow;憑gma;䎣allCircle;战pf;쀀𝕊ɲᅭ\0\0ᅰt;戚areȀ;ISUᅻᅼᆉᆯ斡ntersection;抓uĀbpᆏᆞsetĀ;Eᆗᆘ抏qual;抑ersetĀ;Eᆨᆩ抐qual;抒nion;抔cr;쀀𝒮ar;拆ȀbcmpᇈᇛሉላĀ;sᇍᇎ拐etĀ;Eᇍᇕqual;抆ĀchᇠህeedsȀ;ESTᇭᇮᇴᇿ扻qual;檰lantEqual;扽ilde;承Tháྌ;我ƀ;esሒሓሣ拑rsetĀ;Eሜም抃qual;抇et»ሓրHRSacfhiorsሾቄ቉ቕ቞ቱቶኟዂወዑORN耻Þ䃞ADE;愢ĀHc቎ቒcy;䐋y;䐦Ābuቚቜ;䀉;䎤ƀaeyብቪቯron;䅤dil;䅢;䐢r;쀀𝔗Āeiቻ኉Dzኀ\0ኇefore;戴a;䎘Ācn኎ኘkSpace;쀀  Space;怉ldeȀ;EFTካኬኲኼ戼qual;扃ullEqual;扅ilde;扈pf;쀀𝕋ipleDot;惛Āctዖዛr;쀀𝒯rok;䅦ૡዷጎጚጦ\0ጬጱ\0\0\0\0\0ጸጽ፷ᎅ\0᏿ᐄᐊᐐĀcrዻጁute耻Ú䃚rĀ;oጇገ憟cir;楉rǣጓ\0጖y;䐎ve;䅬Āiyጞጣrc耻Û䃛;䐣blac;䅰r;쀀𝔘rave耻Ù䃙acr;䅪Ādiፁ፩erĀBPፈ፝Āarፍፐr;䁟acĀekፗፙ;揟et;掵arenthesis;揝onĀ;P፰፱拃lus;抎Āgp፻፿on;䅲f;쀀𝕌ЀADETadps᎕ᎮᎸᏄϨᏒᏗᏳrrowƀ;BDᅐᎠᎤar;椒ownArrow;懅ownArrow;憕quilibrium;楮eeĀ;AᏋᏌ报rrow;憥ownáϳerĀLRᏞᏨeftArrow;憖ightArrow;憗iĀ;lᏹᏺ䏒on;䎥ing;䅮cr;쀀𝒰ilde;䅨ml耻Ü䃜ҀDbcdefosvᐧᐬᐰᐳᐾᒅᒊᒐᒖash;披ar;櫫y;䐒ashĀ;lᐻᐼ抩;櫦Āerᑃᑅ;拁ƀbtyᑌᑐᑺar;怖Ā;iᑏᑕcalȀBLSTᑡᑥᑪᑴar;戣ine;䁼eparator;杘ilde;所ThinSpace;怊r;쀀𝔙pf;쀀𝕍cr;쀀𝒱dash;抪ʀcefosᒧᒬᒱᒶᒼirc;䅴dge;拀r;쀀𝔚pf;쀀𝕎cr;쀀𝒲Ȁfiosᓋᓐᓒᓘr;쀀𝔛;䎞pf;쀀𝕏cr;쀀𝒳ҀAIUacfosuᓱᓵᓹᓽᔄᔏᔔᔚᔠcy;䐯cy;䐇cy;䐮cute耻Ý䃝Āiyᔉᔍrc;䅶;䐫r;쀀𝔜pf;쀀𝕐cr;쀀𝒴ml;䅸ЀHacdefosᔵᔹᔿᕋᕏᕝᕠᕤcy;䐖cute;䅹Āayᕄᕉron;䅽;䐗ot;䅻Dzᕔ\0ᕛoWidtè૙a;䎖r;愨pf;愤cr;쀀𝒵௡ᖃᖊᖐ\0ᖰᖶᖿ\0\0\0\0ᗆᗛᗫᙟ᙭\0ᚕ᚛ᚲᚹ\0ᚾcute耻á䃡reve;䄃̀;Ediuyᖜᖝᖡᖣᖨᖭ戾;쀀∾̳;房rc耻â䃢te肻´̆;䐰lig耻æ䃦Ā;r²ᖺ;쀀𝔞rave耻à䃠ĀepᗊᗖĀfpᗏᗔsym;愵èᗓha;䎱ĀapᗟcĀclᗤᗧr;䄁g;樿ɤᗰ\0\0ᘊʀ;adsvᗺᗻᗿᘁᘇ戧nd;橕;橜lope;橘;橚΀;elmrszᘘᘙᘛᘞᘿᙏᙙ戠;榤e»ᘙsdĀ;aᘥᘦ戡ѡᘰᘲᘴᘶᘸᘺᘼᘾ;榨;榩;榪;榫;榬;榭;榮;榯tĀ;vᙅᙆ戟bĀ;dᙌᙍ抾;榝Āptᙔᙗh;戢»¹arr;捼Āgpᙣᙧon;䄅f;쀀𝕒΀;Eaeiop዁ᙻᙽᚂᚄᚇᚊ;橰cir;橯;扊d;手s;䀧roxĀ;e዁ᚒñᚃing耻å䃥ƀctyᚡᚦᚨr;쀀𝒶;䀪mpĀ;e዁ᚯñʈilde耻ã䃣ml耻ä䃤Āciᛂᛈoninôɲnt;樑ࠀNabcdefiklnoprsu᛭ᛱᜰ᜼ᝃᝈ᝸᝽០៦ᠹᡐᜍ᤽᥈ᥰot;櫭Ācrᛶ᜞kȀcepsᜀᜅᜍᜓong;扌psilon;䏶rime;怵imĀ;e᜚᜛戽q;拍Ŷᜢᜦee;抽edĀ;gᜬᜭ挅e»ᜭrkĀ;t፜᜷brk;掶Āoyᜁᝁ;䐱quo;怞ʀcmprtᝓ᝛ᝡᝤᝨausĀ;eĊĉptyv;榰séᜌnoõēƀahwᝯ᝱ᝳ;䎲;愶een;扬r;쀀𝔟g΀costuvwឍឝឳេ៕៛៞ƀaiuបពរðݠrc;旯p»፱ƀdptឤឨឭot;樀lus;樁imes;樂ɱឹ\0\0ើcup;樆ar;昅riangleĀdu៍្own;施p;斳plus;樄eåᑄåᒭarow;植ƀako៭ᠦᠵĀcn៲ᠣkƀlst៺֫᠂ozenge;槫riangleȀ;dlr᠒᠓᠘᠝斴own;斾eft;旂ight;斸k;搣Ʊᠫ\0ᠳƲᠯ\0ᠱ;斒;斑4;斓ck;斈ĀeoᠾᡍĀ;qᡃᡆ쀀=⃥uiv;쀀≡⃥t;挐Ȁptwxᡙᡞᡧᡬf;쀀𝕓Ā;tᏋᡣom»Ꮜtie;拈؀DHUVbdhmptuvᢅᢖᢪᢻᣗᣛᣬ᣿ᤅᤊᤐᤡȀLRlrᢎᢐᢒᢔ;敗;敔;敖;敓ʀ;DUduᢡᢢᢤᢦᢨ敐;敦;敩;敤;敧ȀLRlrᢳᢵᢷᢹ;敝;敚;敜;教΀;HLRhlrᣊᣋᣍᣏᣑᣓᣕ救;敬;散;敠;敫;敢;敟ox;槉ȀLRlrᣤᣦᣨᣪ;敕;敒;攐;攌ʀ;DUduڽ᣷᣹᣻᣽;敥;敨;攬;攴inus;抟lus;択imes;抠ȀLRlrᤙᤛᤝ᤟;敛;敘;攘;攔΀;HLRhlrᤰᤱᤳᤵᤷ᤻᤹攂;敪;敡;敞;攼;攤;攜Āevģ᥂bar耻¦䂦Ȁceioᥑᥖᥚᥠr;쀀𝒷mi;恏mĀ;e᜚᜜lƀ;bhᥨᥩᥫ䁜;槅sub;柈Ŭᥴ᥾lĀ;e᥹᥺怢t»᥺pƀ;Eeįᦅᦇ;檮Ā;qۜۛೡᦧ\0᧨ᨑᨕᨲ\0ᨷᩐ\0\0᪴\0\0᫁\0\0ᬡᬮ᭍᭒\0᯽\0ᰌƀcpr᦭ᦲ᧝ute;䄇̀;abcdsᦿᧀᧄ᧊᧕᧙戩nd;橄rcup;橉Āau᧏᧒p;橋p;橇ot;橀;쀀∩︀Āeo᧢᧥t;恁îړȀaeiu᧰᧻ᨁᨅǰ᧵\0᧸s;橍on;䄍dil耻ç䃧rc;䄉psĀ;sᨌᨍ橌m;橐ot;䄋ƀdmnᨛᨠᨦil肻¸ƭptyv;榲t脀¢;eᨭᨮ䂢räƲr;쀀𝔠ƀceiᨽᩀᩍy;䑇ckĀ;mᩇᩈ朓ark»ᩈ;䏇r΀;Ecefms᩟᩠ᩢᩫ᪤᪪᪮旋;槃ƀ;elᩩᩪᩭ䋆q;扗eɡᩴ\0\0᪈rrowĀlr᩼᪁eft;憺ight;憻ʀRSacd᪒᪔᪖᪚᪟»ཇ;擈st;抛irc;抚ash;抝nint;樐id;櫯cir;槂ubsĀ;u᪻᪼晣it»᪼ˬ᫇᫔᫺\0ᬊonĀ;eᫍᫎ䀺Ā;qÇÆɭ᫙\0\0᫢aĀ;t᫞᫟䀬;䁀ƀ;fl᫨᫩᫫戁îᅠeĀmx᫱᫶ent»᫩eóɍǧ᫾\0ᬇĀ;dኻᬂot;橭nôɆƀfryᬐᬔᬗ;쀀𝕔oäɔ脀©;sŕᬝr;愗Āaoᬥᬩrr;憵ss;朗Ācuᬲᬷr;쀀𝒸Ābpᬼ᭄Ā;eᭁᭂ櫏;櫑Ā;eᭉᭊ櫐;櫒dot;拯΀delprvw᭠᭬᭷ᮂᮬᯔ᯹arrĀlr᭨᭪;椸;椵ɰ᭲\0\0᭵r;拞c;拟arrĀ;p᭿ᮀ憶;椽̀;bcdosᮏᮐᮖᮡᮥᮨ截rcap;橈Āauᮛᮞp;橆p;橊ot;抍r;橅;쀀∪︀Ȁalrv᮵ᮿᯞᯣrrĀ;mᮼᮽ憷;椼yƀevwᯇᯔᯘqɰᯎ\0\0ᯒreã᭳uã᭵ee;拎edge;拏en耻¤䂤earrowĀlrᯮ᯳eft»ᮀight»ᮽeäᯝĀciᰁᰇoninôǷnt;戱lcty;挭ঀAHabcdefhijlorstuwz᰸᰻᰿ᱝᱩᱵᲊᲞᲬᲷ᳻᳿ᴍᵻᶑᶫᶻ᷆᷍rò΁ar;楥Ȁglrs᱈ᱍ᱒᱔ger;怠eth;愸òᄳhĀ;vᱚᱛ怐»ऊūᱡᱧarow;椏aã̕Āayᱮᱳron;䄏;䐴ƀ;ao̲ᱼᲄĀgrʿᲁr;懊tseq;橷ƀglmᲑᲔᲘ耻°䂰ta;䎴ptyv;榱ĀirᲣᲨsht;楿;쀀𝔡arĀlrᲳᲵ»ࣜ»သʀaegsv᳂͸᳖᳜᳠mƀ;oș᳊᳔ndĀ;ș᳑uit;晦amma;䏝in;拲ƀ;io᳧᳨᳸䃷de脀÷;o᳧ᳰntimes;拇nø᳷cy;䑒cɯᴆ\0\0ᴊrn;挞op;挍ʀlptuwᴘᴝᴢᵉᵕlar;䀤f;쀀𝕕ʀ;emps̋ᴭᴷᴽᵂqĀ;d͒ᴳot;扑inus;戸lus;戔quare;抡blebarwedgåúnƀadhᄮᵝᵧownarrowóᲃarpoonĀlrᵲᵶefôᲴighôᲶŢᵿᶅkaro÷གɯᶊ\0\0ᶎrn;挟op;挌ƀcotᶘᶣᶦĀryᶝᶡ;쀀𝒹;䑕l;槶rok;䄑Ādrᶰᶴot;拱iĀ;fᶺ᠖斿Āah᷀᷃ròЩaòྦangle;榦Āci᷒ᷕy;䑟grarr;柿ऀDacdefglmnopqrstuxḁḉḙḸոḼṉṡṾấắẽỡἪἷὄ὎὚ĀDoḆᴴoôᲉĀcsḎḔute耻é䃩ter;橮ȀaioyḢḧḱḶron;䄛rĀ;cḭḮ扖耻ê䃪lon;払;䑍ot;䄗ĀDrṁṅot;扒;쀀𝔢ƀ;rsṐṑṗ檚ave耻è䃨Ā;dṜṝ檖ot;檘Ȁ;ilsṪṫṲṴ檙nters;揧;愓Ā;dṹṺ檕ot;檗ƀapsẅẉẗcr;䄓tyƀ;svẒẓẕ戅et»ẓpĀ1;ẝẤijạả;怄;怅怃ĀgsẪẬ;䅋p;怂ĀgpẴẸon;䄙f;쀀𝕖ƀalsỄỎỒrĀ;sỊị拕l;槣us;橱iƀ;lvỚớở䎵on»ớ;䏵ȀcsuvỪỳἋἣĀioữḱrc»Ḯɩỹ\0\0ỻíՈantĀglἂἆtr»ṝess»Ṻƀaeiἒ἖Ἒls;䀽st;扟vĀ;DȵἠD;橸parsl;槥ĀDaἯἳot;打rr;楱ƀcdiἾὁỸr;愯oô͒ĀahὉὋ;䎷耻ð䃰Āmrὓὗl耻ë䃫o;悬ƀcipὡὤὧl;䀡sôծĀeoὬὴctatioîՙnentialåչৡᾒ\0ᾞ\0ᾡᾧ\0\0ῆῌ\0ΐ\0ῦῪ \0 ⁚llingdotseñṄy;䑄male;晀ƀilrᾭᾳ῁lig;耀ffiɩᾹ\0\0᾽g;耀ffig;耀ffl;쀀𝔣lig;耀filig;쀀fjƀaltῙ῜ῡt;晭ig;耀flns;斱of;䆒ǰ΅\0ῳf;쀀𝕗ĀakֿῷĀ;vῼ´拔;櫙artint;樍Āao‌⁕Ācs‑⁒ႉ‸⁅⁈\0⁐β•‥‧‪‬\0‮耻½䂽;慓耻¼䂼;慕;慙;慛Ƴ‴\0‶;慔;慖ʴ‾⁁\0\0⁃耻¾䂾;慗;慜5;慘ƶ⁌\0⁎;慚;慝8;慞l;恄wn;挢cr;쀀𝒻ࢀEabcdefgijlnorstv₂₉₟₥₰₴⃰⃵⃺⃿℃ℒℸ̗ℾ⅒↞Ā;lٍ₇;檌ƀcmpₐₕ₝ute;䇵maĀ;dₜ᳚䎳;檆reve;䄟Āiy₪₮rc;䄝;䐳ot;䄡Ȁ;lqsؾق₽⃉ƀ;qsؾٌ⃄lanô٥Ȁ;cdl٥⃒⃥⃕c;檩otĀ;o⃜⃝檀Ā;l⃢⃣檂;檄Ā;e⃪⃭쀀⋛︀s;檔r;쀀𝔤Ā;gٳ؛mel;愷cy;䑓Ȁ;Eajٚℌℎℐ;檒;檥;檤ȀEaesℛℝ℩ℴ;扩pĀ;p℣ℤ檊rox»ℤĀ;q℮ℯ檈Ā;q℮ℛim;拧pf;쀀𝕘Āci⅃ⅆr;愊mƀ;el٫ⅎ⅐;檎;檐茀>;cdlqr׮ⅠⅪⅮⅳⅹĀciⅥⅧ;檧r;橺ot;拗Par;榕uest;橼ʀadelsↄⅪ←ٖ↛ǰ↉\0↎proø₞r;楸qĀlqؿ↖lesó₈ií٫Āen↣↭rtneqq;쀀≩︀Å↪ԀAabcefkosy⇄⇇⇱⇵⇺∘∝∯≨≽ròΠȀilmr⇐⇔⇗⇛rsðᒄf»․ilôکĀdr⇠⇤cy;䑊ƀ;cwࣴ⇫⇯ir;楈;憭ar;意irc;䄥ƀalr∁∎∓rtsĀ;u∉∊晥it»∊lip;怦con;抹r;쀀𝔥sĀew∣∩arow;椥arow;椦ʀamopr∺∾≃≞≣rr;懿tht;戻kĀlr≉≓eftarrow;憩ightarrow;憪f;쀀𝕙bar;怕ƀclt≯≴≸r;쀀𝒽asè⇴rok;䄧Ābp⊂⊇ull;恃hen»ᱛૡ⊣\0⊪\0⊸⋅⋎\0⋕⋳\0\0⋸⌢⍧⍢⍿\0⎆⎪⎴cute耻í䃭ƀ;iyݱ⊰⊵rc耻î䃮;䐸Ācx⊼⊿y;䐵cl耻¡䂡ĀfrΟ⋉;쀀𝔦rave耻ì䃬Ȁ;inoܾ⋝⋩⋮Āin⋢⋦nt;樌t;戭fin;槜ta;愩lig;䄳ƀaop⋾⌚⌝ƀcgt⌅⌈⌗r;䄫ƀelpܟ⌏⌓inåގarôܠh;䄱f;抷ed;䆵ʀ;cfotӴ⌬⌱⌽⍁are;愅inĀ;t⌸⌹戞ie;槝doô⌙ʀ;celpݗ⍌⍐⍛⍡al;抺Āgr⍕⍙eróᕣã⍍arhk;樗rod;樼Ȁcgpt⍯⍲⍶⍻y;䑑on;䄯f;쀀𝕚a;䎹uest耻¿䂿Āci⎊⎏r;쀀𝒾nʀ;EdsvӴ⎛⎝⎡ӳ;拹ot;拵Ā;v⎦⎧拴;拳Ā;iݷ⎮lde;䄩ǫ⎸\0⎼cy;䑖l耻ï䃯̀cfmosu⏌⏗⏜⏡⏧⏵Āiy⏑⏕rc;䄵;䐹r;쀀𝔧ath;䈷pf;쀀𝕛ǣ⏬\0⏱r;쀀𝒿rcy;䑘kcy;䑔Ѐacfghjos␋␖␢␧␭␱␵␻ppaĀ;v␓␔䎺;䏰Āey␛␠dil;䄷;䐺r;쀀𝔨reen;䄸cy;䑅cy;䑜pf;쀀𝕜cr;쀀𝓀஀ABEHabcdefghjlmnoprstuv⑰⒁⒆⒍⒑┎┽╚▀♎♞♥♹♽⚚⚲⛘❝❨➋⟀⠁⠒ƀart⑷⑺⑼rò৆òΕail;椛arr;椎Ā;gঔ⒋;檋ar;楢ॣ⒥\0⒪\0⒱\0\0\0\0\0⒵Ⓔ\0ⓆⓈⓍ\0⓹ute;䄺mptyv;榴raîࡌbda;䎻gƀ;dlࢎⓁⓃ;榑åࢎ;檅uo耻«䂫rЀ;bfhlpst࢙ⓞⓦⓩ⓫⓮⓱⓵Ā;f࢝ⓣs;椟s;椝ë≒p;憫l;椹im;楳l;憢ƀ;ae⓿─┄檫il;椙Ā;s┉┊檭;쀀⪭︀ƀabr┕┙┝rr;椌rk;杲Āak┢┬cĀek┨┪;䁻;䁛Āes┱┳;榋lĀdu┹┻;榏;榍Ȁaeuy╆╋╖╘ron;䄾Ādi═╔il;䄼ìࢰâ┩;䐻Ȁcqrs╣╦╭╽a;椶uoĀ;rนᝆĀdu╲╷har;楧shar;楋h;憲ʀ;fgqs▋▌উ◳◿扤tʀahlrt▘▤▷◂◨rrowĀ;t࢙□aé⓶arpoonĀdu▯▴own»њp»०eftarrows;懇ightƀahs◍◖◞rrowĀ;sࣴࢧarpoonó྘quigarro÷⇰hreetimes;拋ƀ;qs▋ও◺lanôবʀ;cdgsব☊☍☝☨c;檨otĀ;o☔☕橿Ā;r☚☛檁;檃Ā;e☢☥쀀⋚︀s;檓ʀadegs☳☹☽♉♋pproøⓆot;拖qĀgq♃♅ôউgtò⒌ôছiíলƀilr♕࣡♚sht;楼;쀀𝔩Ā;Eজ♣;檑š♩♶rĀdu▲♮Ā;l॥♳;楪lk;斄cy;䑙ʀ;achtੈ⚈⚋⚑⚖rò◁orneòᴈard;楫ri;旺Āio⚟⚤dot;䅀ustĀ;a⚬⚭掰che»⚭ȀEaes⚻⚽⛉⛔;扨pĀ;p⛃⛄檉rox»⛄Ā;q⛎⛏檇Ā;q⛎⚻im;拦Ѐa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;䅵Ādi㩀㩑Ābg㩅㩉ar;機eĀ;qᗺ㩏;扙erp;愘r;쀀𝔴pf;쀀𝕨Ā;eᑹ㩦atèᑹcr;쀀𝓌ૣណ㪇\0㪋\0㪐㪛\0\0㪝㪨㪫㪯\0\0㫃㫎\0㫘ៜ៟tré៑r;쀀𝔵ĀAa㪔㪗ròσrò৶;䎾ĀAa㪡㪤ròθrò৫að✓is;拻ƀdptឤ㪵㪾Āfl㪺ឩ;쀀𝕩imåឲĀAa㫇㫊ròώròਁĀcq㫒ីr;쀀𝓍Āpt៖㫜ré។Ѐacefiosu㫰㫽㬈㬌㬑㬕㬛㬡cĀuy㫶㫻te耻ý䃽;䑏Āiy㬂㬆rc;䅷;䑋n耻¥䂥r;쀀𝔶cy;䑗pf;쀀𝕪cr;쀀𝓎Ācm㬦㬩y;䑎l耻ÿ䃿Ԁacdefhiosw㭂㭈㭔㭘㭤㭩㭭㭴㭺㮀cute;䅺Āay㭍㭒ron;䅾;䐷ot;䅼Āet㭝㭡træᕟa;䎶r;쀀𝔷cy;䐶grarr;懝pf;쀀𝕫cr;쀀𝓏Ājn㮅㮇;怍j;怌`.split(``).map(e=>e.charCodeAt(0))),CN=new Map([[0,65533],[128,8364],[130,8218],[131,402],[132,8222],[133,8230],[134,8224],[135,8225],[136,710],[137,8240],[138,352],[139,8249],[140,338],[142,381],[145,8216],[146,8217],[147,8220],[148,8221],[149,8226],[150,8211],[151,8212],[152,732],[153,8482],[154,353],[155,8250],[156,339],[158,382],[159,376]]);String.fromCodePoint;function wN(e){return e>=55296&&e<=57343||e>1114111?65533:CN.get(e)??e}var TN;(function(e){e[e.NUM=35]=`NUM`,e[e.SEMI=59]=`SEMI`,e[e.EQUALS=61]=`EQUALS`,e[e.ZERO=48]=`ZERO`,e[e.NINE=57]=`NINE`,e[e.LOWER_A=97]=`LOWER_A`,e[e.LOWER_F=102]=`LOWER_F`,e[e.LOWER_X=120]=`LOWER_X`,e[e.LOWER_Z=122]=`LOWER_Z`,e[e.UPPER_A=65]=`UPPER_A`,e[e.UPPER_F=70]=`UPPER_F`,e[e.UPPER_Z=90]=`UPPER_Z`})(TN||={});var EN=32,DN;(function(e){e[e.VALUE_LENGTH=49152]=`VALUE_LENGTH`,e[e.BRANCH_LENGTH=16256]=`BRANCH_LENGTH`,e[e.JUMP_TABLE=127]=`JUMP_TABLE`})(DN||={});function ON(e){return e>=TN.ZERO&&e<=TN.NINE}function kN(e){return e>=TN.UPPER_A&&e<=TN.UPPER_F||e>=TN.LOWER_A&&e<=TN.LOWER_F}function AN(e){return e>=TN.UPPER_A&&e<=TN.UPPER_Z||e>=TN.LOWER_A&&e<=TN.LOWER_Z||ON(e)}function jN(e){return e===TN.EQUALS||AN(e)}var MN;(function(e){e[e.EntityStart=0]=`EntityStart`,e[e.NumericStart=1]=`NumericStart`,e[e.NumericDecimal=2]=`NumericDecimal`,e[e.NumericHex=3]=`NumericHex`,e[e.NamedEntity=4]=`NamedEntity`})(MN||={});var NN;(function(e){e[e.Legacy=0]=`Legacy`,e[e.Strict=1]=`Strict`,e[e.Attribute=2]=`Attribute`})(NN||={});var PN=class{constructor(e,t,n){this.decodeTree=e,this.emitCodePoint=t,this.errors=n,this.state=MN.EntityStart,this.consumed=1,this.result=0,this.treeIndex=0,this.excess=1,this.decodeMode=NN.Strict}startEntity(e){this.decodeMode=e,this.state=MN.EntityStart,this.result=0,this.treeIndex=0,this.excess=1,this.consumed=1}write(e,t){switch(this.state){case MN.EntityStart:return e.charCodeAt(t)===TN.NUM?(this.state=MN.NumericStart,this.consumed+=1,this.stateNumericStart(e,t+1)):(this.state=MN.NamedEntity,this.stateNamedEntity(e,t));case MN.NumericStart:return this.stateNumericStart(e,t);case MN.NumericDecimal:return this.stateNumericDecimal(e,t);case MN.NumericHex:return this.stateNumericHex(e,t);case MN.NamedEntity:return this.stateNamedEntity(e,t)}}stateNumericStart(e,t){return t>=e.length?-1:(e.charCodeAt(t)|EN)===TN.LOWER_X?(this.state=MN.NumericHex,this.consumed+=1,this.stateNumericHex(e,t+1)):(this.state=MN.NumericDecimal,this.stateNumericDecimal(e,t))}addToNumericResult(e,t,n,r){if(t!==n){let i=n-t;this.result=this.result*r**+i+Number.parseInt(e.substr(t,i),r),this.consumed+=i}}stateNumericHex(e,t){let n=t;for(;t>14;for(;t>14,i!==0){if(a===TN.SEMI)return this.emitNamedEntityData(this.treeIndex,i,this.consumed+this.excess);this.decodeMode!==NN.Strict&&(this.result=this.treeIndex,this.consumed+=this.excess,this.excess=0)}}return-1}emitNotTerminatedNamedEntity(){var e;let{result:t,decodeTree:n}=this,r=(n[t]&DN.VALUE_LENGTH)>>14;return 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Map([[R.A,z.A],[R.ADDRESS,z.ADDRESS],[R.ANNOTATION_XML,z.ANNOTATION_XML],[R.APPLET,z.APPLET],[R.AREA,z.AREA],[R.ARTICLE,z.ARTICLE],[R.ASIDE,z.ASIDE],[R.B,z.B],[R.BASE,z.BASE],[R.BASEFONT,z.BASEFONT],[R.BGSOUND,z.BGSOUND],[R.BIG,z.BIG],[R.BLOCKQUOTE,z.BLOCKQUOTE],[R.BODY,z.BODY],[R.BR,z.BR],[R.BUTTON,z.BUTTON],[R.CAPTION,z.CAPTION],[R.CENTER,z.CENTER],[R.CODE,z.CODE],[R.COL,z.COL],[R.COLGROUP,z.COLGROUP],[R.DD,z.DD],[R.DESC,z.DESC],[R.DETAILS,z.DETAILS],[R.DIALOG,z.DIALOG],[R.DIR,z.DIR],[R.DIV,z.DIV],[R.DL,z.DL],[R.DT,z.DT],[R.EM,z.EM],[R.EMBED,z.EMBED],[R.FIELDSET,z.FIELDSET],[R.FIGCAPTION,z.FIGCAPTION],[R.FIGURE,z.FIGURE],[R.FONT,z.FONT],[R.FOOTER,z.FOOTER],[R.FOREIGN_OBJECT,z.FOREIGN_OBJECT],[R.FORM,z.FORM],[R.FRAME,z.FRAME],[R.FRAMESET,z.FRAMESET],[R.H1,z.H1],[R.H2,z.H2],[R.H3,z.H3],[R.H4,z.H4],[R.H5,z.H5],[R.H6,z.H6],[R.HEAD,z.HEAD],[R.HEADER,z.HEADER],[R.HGROUP,z.HGROUP],[R.HR,z.HR],[R.HTML,z.HTML],[R.I,z.I],[R.IMG,z.IMG],[R.IMAGE,z.IMAGE],[R.INPUT,z.INPUT],[R.IFRAME,z.IFRAME],[R.KEYGEN,z.KEYGEN],[R.LABEL,z.LABEL],[R.LI,z.LI],[R.LINK,z.LINK],[R.LISTING,z.LISTING],[R.MAIN,z.MAIN],[R.MALIGNMARK,z.MALIGNMARK],[R.MARQUEE,z.MARQUEE],[R.MATH,z.MATH],[R.MENU,z.MENU],[R.META,z.META],[R.MGLYPH,z.MGLYPH],[R.MI,z.MI],[R.MO,z.MO],[R.MN,z.MN],[R.MS,z.MS],[R.MTEXT,z.MTEXT],[R.NAV,z.NAV],[R.NOBR,z.NOBR],[R.NOFRAMES,z.NOFRAMES],[R.NOEMBED,z.NOEMBED],[R.NOSCRIPT,z.NOSCRIPT],[R.OBJECT,z.OBJECT],[R.OL,z.OL],[R.OPTGROUP,z.OPTGROUP],[R.OPTION,z.OPTION],[R.P,z.P],[R.PARAM,z.PARAM],[R.PLAINTEXT,z.PLAINTEXT],[R.PRE,z.PRE],[R.RB,z.RB],[R.RP,z.RP],[R.RT,z.RT],[R.RTC,z.RTC],[R.RUBY,z.RUBY],[R.S,z.S],[R.SCRIPT,z.SCRIPT],[R.SEARCH,z.SEARCH],[R.SECTION,z.SECTION],[R.SELECT,z.SELECT],[R.SOURCE,z.SOURCE],[R.SMALL,z.SMALL],[R.SPAN,z.SPAN],[R.STRIKE,z.STRIKE],[R.STRONG,z.STRONG],[R.STYLE,z.STYLE],[R.SUB,z.SUB],[R.SUMMARY,z.SUMMARY],[R.SUP,z.SUP],[R.TABLE,z.TABLE],[R.TBODY,z.TBODY],[R.TEMPLATE,z.TEMPLATE],[R.TEXTAREA,z.TEXTAREA],[R.TFOOT,z.TFOOT],[R.TD,z.TD],[R.TH,z.TH],[R.THEAD,z.THEAD],[R.TITLE,z.TITLE],[R.TR,z.TR],[R.TRACK,z.TRACK],[R.TT,z.TT],[R.U,z.U],[R.UL,z.UL],[R.SVG,z.SVG],[R.VAR,z.VAR],[R.WBR,z.WBR],[R.XMP,z.XMP]]);function zN(e){return RN.get(e)??z.UNKNOWN}var B=z,BN={[L.HTML]:new Set([B.ADDRESS,B.APPLET,B.AREA,B.ARTICLE,B.ASIDE,B.BASE,B.BASEFONT,B.BGSOUND,B.BLOCKQUOTE,B.BODY,B.BR,B.BUTTON,B.CAPTION,B.CENTER,B.COL,B.COLGROUP,B.DD,B.DETAILS,B.DIR,B.DIV,B.DL,B.DT,B.EMBED,B.FIELDSET,B.FIGCAPTION,B.FIGURE,B.FOOTER,B.FORM,B.FRAME,B.FRAMESET,B.H1,B.H2,B.H3,B.H4,B.H5,B.H6,B.HEAD,B.HEADER,B.HGROUP,B.HR,B.HTML,B.IFRAME,B.IMG,B.INPUT,B.LI,B.LINK,B.LISTING,B.MAIN,B.MARQUEE,B.MENU,B.META,B.NAV,B.NOEMBED,B.NOFRAMES,B.NOSCRIPT,B.OBJECT,B.OL,B.P,B.PARAM,B.PLAINTEXT,B.PRE,B.SCRIPT,B.SECTION,B.SELECT,B.SOURCE,B.STYLE,B.SUMMARY,B.TABLE,B.TBODY,B.TD,B.TEMPLATE,B.TEXTAREA,B.TFOOT,B.TH,B.THEAD,B.TITLE,B.TR,B.TRACK,B.UL,B.WBR,B.XMP]),[L.MATHML]:new Set([B.MI,B.MO,B.MN,B.MS,B.MTEXT,B.ANNOTATION_XML]),[L.SVG]:new Set([B.TITLE,B.FOREIGN_OBJECT,B.DESC]),[L.XLINK]:new Set,[L.XML]:new Set,[L.XMLNS]:new Set},VN=new Set([B.H1,B.H2,B.H3,B.H4,B.H5,B.H6]);new Set([R.STYLE,R.SCRIPT,R.XMP,R.IFRAME,R.NOEMBED,R.NOFRAMES,R.PLAINTEXT]);var V;(function(e){e[e.DATA=0]=`DATA`,e[e.RCDATA=1]=`RCDATA`,e[e.RAWTEXT=2]=`RAWTEXT`,e[e.SCRIPT_DATA=3]=`SCRIPT_DATA`,e[e.PLAINTEXT=4]=`PLAINTEXT`,e[e.TAG_OPEN=5]=`TAG_OPEN`,e[e.END_TAG_OPEN=6]=`END_TAG_OPEN`,e[e.TAG_NAME=7]=`TAG_NAME`,e[e.RCDATA_LESS_THAN_SIGN=8]=`RCDATA_LESS_THAN_SIGN`,e[e.RCDATA_END_TAG_OPEN=9]=`RCDATA_END_TAG_OPEN`,e[e.RCDATA_END_TAG_NAME=10]=`RCDATA_END_TAG_NAME`,e[e.RAWTEXT_LESS_THAN_SIGN=11]=`RAWTEXT_LESS_THAN_SIGN`,e[e.RAWTEXT_END_TAG_OPEN=12]=`RAWTEXT_END_TAG_OPEN`,e[e.RAWTEXT_END_TAG_NAME=13]=`RAWTEXT_END_TAG_NAME`,e[e.SCRIPT_DATA_LESS_THAN_SIGN=14]=`SCRIPT_DATA_LESS_THAN_SIGN`,e[e.SCRIPT_DATA_END_TAG_OPEN=15]=`SCRIPT_DATA_END_TAG_OPEN`,e[e.SCRIPT_DATA_END_TAG_NAME=16]=`SCRIPT_DATA_END_TAG_NAME`,e[e.SCRIPT_DATA_ESCAPE_START=17]=`SCRIPT_DATA_ESCAPE_START`,e[e.SCRIPT_DATA_ESCAPE_START_DASH=18]=`SCRIPT_DATA_ESCAPE_START_DASH`,e[e.SCRIPT_DATA_ESCAPED=19]=`SCRIPT_DATA_ESCAPED`,e[e.SCRIPT_DATA_ESCAPED_DASH=20]=`SCRIPT_DATA_ESCAPED_DASH`,e[e.SCRIPT_DATA_ESCAPED_DASH_DASH=21]=`SCRIPT_DATA_ESCAPED_DASH_DASH`,e[e.SCRIPT_DATA_ESCAPED_LESS_THAN_SIGN=22]=`SCRIPT_DATA_ESCAPED_LESS_THAN_SIGN`,e[e.SCRIPT_DATA_ESCAPED_END_TAG_OPEN=23]=`SCRIPT_DATA_ESCAPED_END_TAG_OPEN`,e[e.SCRIPT_DATA_ESCAPED_END_TAG_NAME=24]=`SCRIPT_DATA_ESCAPED_END_TAG_NAME`,e[e.SCRIPT_DATA_DOUBLE_ESCAPE_START=25]=`SCRIPT_DATA_DOUBLE_ESCAPE_START`,e[e.SCRIPT_DATA_DOUBLE_ESCAPED=26]=`SCRIPT_DATA_DOUBLE_ESCAPED`,e[e.SCRIPT_DATA_DOUBLE_ESCAPED_DASH=27]=`SCRIPT_DATA_DOUBLE_ESCAPED_DASH`,e[e.SCRIPT_DATA_DOUBLE_ESCAPED_DASH_DASH=28]=`SCRIPT_DATA_DOUBLE_ESCAPED_DASH_DASH`,e[e.SCRIPT_DATA_DOUBLE_ESCAPED_LESS_THAN_SIGN=29]=`SCRIPT_DATA_DOUBLE_ESCAPED_LESS_THAN_SIGN`,e[e.SCRIPT_DATA_DOUBLE_ESCAPE_END=30]=`SCRIPT_DATA_DOUBLE_ESCAPE_END`,e[e.BEFORE_ATTRIBUTE_NAME=31]=`BEFORE_ATTRIBUTE_NAME`,e[e.ATTRIBUTE_NAME=32]=`ATTRIBUTE_NAME`,e[e.AFTER_ATTRIBUTE_NAME=33]=`AFTER_ATTRIBUTE_NAME`,e[e.BEFORE_ATTRIBUTE_VALUE=34]=`BEFORE_ATTRIBUTE_VALUE`,e[e.ATTRIBUTE_VALUE_DOUBLE_QUOTED=35]=`ATTRIBUTE_VALUE_DOUBLE_QUOTED`,e[e.ATTRIBUTE_VALUE_SINGLE_QUOTED=36]=`ATTRIBUTE_VALUE_SINGLE_QUOTED`,e[e.ATTRIBUTE_VALUE_UNQUOTED=37]=`ATTRIBUTE_VALUE_UNQUOTED`,e[e.AFTER_ATTRIBUTE_VALUE_QUOTED=38]=`AFTER_ATTRIBUTE_VALUE_QUOTED`,e[e.SELF_CLOSING_START_TAG=39]=`SELF_CLOSING_START_TAG`,e[e.BOGUS_COMMENT=40]=`BOGUS_COMMENT`,e[e.MARKUP_DECLARATION_OPEN=41]=`MARKUP_DECLARATION_OPEN`,e[e.COMMENT_START=42]=`COMMENT_START`,e[e.COMMENT_START_DASH=43]=`COMMENT_START_DASH`,e[e.COMMENT=44]=`COMMENT`,e[e.COMMENT_LESS_THAN_SIGN=45]=`COMMENT_LESS_THAN_SIGN`,e[e.COMMENT_LESS_THAN_SIGN_BANG=46]=`COMMENT_LESS_THAN_SIGN_BANG`,e[e.COMMENT_LESS_THAN_SIGN_BANG_DASH=47]=`COMMENT_LESS_THAN_SIGN_BANG_DASH`,e[e.COMMENT_LESS_THAN_SIGN_BANG_DASH_DASH=48]=`COMMENT_LESS_THAN_SIGN_BANG_DASH_DASH`,e[e.COMMENT_END_DASH=49]=`COMMENT_END_DASH`,e[e.COMMENT_END=50]=`COMMENT_END`,e[e.COMMENT_END_BANG=51]=`COMMENT_END_BANG`,e[e.DOCTYPE=52]=`DOCTYPE`,e[e.BEFORE_DOCTYPE_NAME=53]=`BEFORE_DOCTYPE_NAME`,e[e.DOCTYPE_NAME=54]=`DOCTYPE_NAME`,e[e.AFTER_DOCTYPE_NAME=55]=`AFTER_DOCTYPE_NAME`,e[e.AFTER_DOCTYPE_PUBLIC_KEYWORD=56]=`AFTER_DOCTYPE_PUBLIC_KEYWORD`,e[e.BEFORE_DOCTYPE_PUBLIC_IDENTIFIER=57]=`BEFORE_DOCTYPE_PUBLIC_IDENTIFIER`,e[e.DOCTYPE_PUBLIC_IDENTIFIER_DOUBLE_QUOTED=58]=`DOCTYPE_PUBLIC_IDENTIFIER_DOUBLE_QUOTED`,e[e.DOCTYPE_PUBLIC_IDENTIFIER_SINGLE_QUOTED=59]=`DOCTYPE_PUBLIC_IDENTIFIER_SINGLE_QUOTED`,e[e.AFTER_DOCTYPE_PUBLIC_IDENTIFIER=60]=`AFTER_DOCTYPE_PUBLIC_IDENTIFIER`,e[e.BETWEEN_DOCTYPE_PUBLIC_AND_SYSTEM_IDENTIFIERS=61]=`BETWEEN_DOCTYPE_PUBLIC_AND_SYSTEM_IDENTIFIERS`,e[e.AFTER_DOCTYPE_SYSTEM_KEYWORD=62]=`AFTER_DOCTYPE_SYSTEM_KEYWORD`,e[e.BEFORE_DOCTYPE_SYSTEM_IDENTIFIER=63]=`BEFORE_DOCTYPE_SYSTEM_IDENTIFIER`,e[e.DOCTYPE_SYSTEM_IDENTIFIER_DOUBLE_QUOTED=64]=`DOCTYPE_SYSTEM_IDENTIFIER_DOUBLE_QUOTED`,e[e.DOCTYPE_SYSTEM_IDENTIFIER_SINGLE_QUOTED=65]=`DOCTYPE_SYSTEM_IDENTIFIER_SINGLE_QUOTED`,e[e.AFTER_DOCTYPE_SYSTEM_IDENTIFIER=66]=`AFTER_DOCTYPE_SYSTEM_IDENTIFIER`,e[e.BOGUS_DOCTYPE=67]=`BOGUS_DOCTYPE`,e[e.CDATA_SECTION=68]=`CDATA_SECTION`,e[e.CDATA_SECTION_BRACKET=69]=`CDATA_SECTION_BRACKET`,e[e.CDATA_SECTION_END=70]=`CDATA_SECTION_END`,e[e.CHARACTER_REFERENCE=71]=`CHARACTER_REFERENCE`,e[e.AMBIGUOUS_AMPERSAND=72]=`AMBIGUOUS_AMPERSAND`})(V||={});var HN={DATA:V.DATA,RCDATA:V.RCDATA,RAWTEXT:V.RAWTEXT,SCRIPT_DATA:V.SCRIPT_DATA,PLAINTEXT:V.PLAINTEXT,CDATA_SECTION:V.CDATA_SECTION};function UN(e){return e>=F.DIGIT_0&&e<=F.DIGIT_9}function WN(e){return e>=F.LATIN_CAPITAL_A&&e<=F.LATIN_CAPITAL_Z}function GN(e){return e>=F.LATIN_SMALL_A&&e<=F.LATIN_SMALL_Z}function KN(e){return GN(e)||WN(e)}function qN(e){return KN(e)||UN(e)}function JN(e){return e+32}function YN(e){return e===F.SPACE||e===F.LINE_FEED||e===F.TABULATION||e===F.FORM_FEED}function XN(e){return YN(e)||e===F.SOLIDUS||e===F.GREATER_THAN_SIGN}function ZN(e){return e===F.NULL?I.nullCharacterReference:e>1114111?I.characterReferenceOutsideUnicodeRange:pN(e)?I.surrogateCharacterReference:_N(e)?I.noncharacterCharacterReference:gN(e)||e===F.CARRIAGE_RETURN?I.controlCharacterReference:null}var QN=class{constructor(e,t){this.options=e,this.handler=t,this.paused=!1,this.inLoop=!1,this.inForeignNode=!1,this.lastStartTagName=``,this.active=!1,this.state=V.DATA,this.returnState=V.DATA,this.entityStartPos=0,this.consumedAfterSnapshot=-1,this.currentCharacterToken=null,this.currentToken=null,this.currentAttr={name:``,value:``},this.preprocessor=new yN(t),this.currentLocation=this.getCurrentLocation(-1),this.entityDecoder=new PN(SN,(e,t)=>{this.preprocessor.pos=this.entityStartPos+t-1,this._flushCodePointConsumedAsCharacterReference(e)},t.onParseError?{missingSemicolonAfterCharacterReference:()=>{this._err(I.missingSemicolonAfterCharacterReference,1)},absenceOfDigitsInNumericCharacterReference:e=>{this._err(I.absenceOfDigitsInNumericCharacterReference,this.entityStartPos-this.preprocessor.pos+e)},validateNumericCharacterReference:e=>{let t=ZN(e);t&&this._err(t,1)}}:void 0)}_err(e,t=0){var n,r;(r=(n=this.handler).onParseError)==null||r.call(n,this.preprocessor.getError(e,t))}getCurrentLocation(e){return this.options.sourceCodeLocationInfo?{startLine:this.preprocessor.line,startCol:this.preprocessor.col-e,startOffset:this.preprocessor.offset-e,endLine:-1,endCol:-1,endOffset:-1}:null}_runParsingLoop(){if(!this.inLoop){for(this.inLoop=!0;this.active&&!this.paused;){this.consumedAfterSnapshot=0;let e=this._consume();this._ensureHibernation()||this._callState(e)}this.inLoop=!1}}pause(){this.paused=!0}resume(e){if(!this.paused)throw Error(`Parser was already resumed`);this.paused=!1,!this.inLoop&&(this._runParsingLoop(),this.paused||e?.())}write(e,t,n){this.active=!0,this.preprocessor.write(e,t),this._runParsingLoop(),this.paused||n?.()}insertHtmlAtCurrentPos(e){this.active=!0,this.preprocessor.insertHtmlAtCurrentPos(e),this._runParsingLoop()}_ensureHibernation(){return this.preprocessor.endOfChunkHit?(this.preprocessor.retreat(this.consumedAfterSnapshot),this.consumedAfterSnapshot=0,this.active=!1,!0):!1}_consume(){return this.consumedAfterSnapshot++,this.preprocessor.advance()}_advanceBy(e){this.consumedAfterSnapshot+=e;for(let t=0;t0&&this._err(I.endTagWithAttributes),e.selfClosing&&this._err(I.endTagWithTrailingSolidus),this.handler.onEndTag(e)),this.preprocessor.dropParsedChunk()}emitCurrentComment(e){this.prepareToken(e),this.handler.onComment(e),this.preprocessor.dropParsedChunk()}emitCurrentDoctype(e){this.prepareToken(e),this.handler.onDoctype(e),this.preprocessor.dropParsedChunk()}_emitCurrentCharacterToken(e){if(this.currentCharacterToken){switch(e&&this.currentCharacterToken.location&&(this.currentCharacterToken.location.endLine=e.startLine,this.currentCharacterToken.location.endCol=e.startCol,this.currentCharacterToken.location.endOffset=e.startOffset),this.currentCharacterToken.type){case bN.CHARACTER:this.handler.onCharacter(this.currentCharacterToken);break;case bN.NULL_CHARACTER:this.handler.onNullCharacter(this.currentCharacterToken);break;case bN.WHITESPACE_CHARACTER:this.handler.onWhitespaceCharacter(this.currentCharacterToken);break}this.currentCharacterToken=null}}_emitEOFToken(){let e=this.getCurrentLocation(0);e&&(e.endLine=e.startLine,e.endCol=e.startCol,e.endOffset=e.startOffset),this._emitCurrentCharacterToken(e),this.handler.onEof({type:bN.EOF,location:e}),this.active=!1}_appendCharToCurrentCharacterToken(e,t){if(this.currentCharacterToken)if(this.currentCharacterToken.type===e){this.currentCharacterToken.chars+=t;return}else this.currentLocation=this.getCurrentLocation(0),this._emitCurrentCharacterToken(this.currentLocation),this.preprocessor.dropParsedChunk();this._createCharacterToken(e,t)}_emitCodePoint(e){let t=YN(e)?bN.WHITESPACE_CHARACTER:e===F.NULL?bN.NULL_CHARACTER:bN.CHARACTER;this._appendCharToCurrentCharacterToken(t,String.fromCodePoint(e))}_emitChars(e){this._appendCharToCurrentCharacterToken(bN.CHARACTER,e)}_startCharacterReference(){this.returnState=this.state,this.state=V.CHARACTER_REFERENCE,this.entityStartPos=this.preprocessor.pos,this.entityDecoder.startEntity(this._isCharacterReferenceInAttribute()?NN.Attribute:NN.Legacy)}_isCharacterReferenceInAttribute(){return this.returnState===V.ATTRIBUTE_VALUE_DOUBLE_QUOTED||this.returnState===V.ATTRIBUTE_VALUE_SINGLE_QUOTED||this.returnState===V.ATTRIBUTE_VALUE_UNQUOTED}_flushCodePointConsumedAsCharacterReference(e){this._isCharacterReferenceInAttribute()?this.currentAttr.value+=String.fromCodePoint(e):this._emitCodePoint(e)}_callState(e){switch(this.state){case V.DATA:this._stateData(e);break;case V.RCDATA:this._stateRcdata(e);break;case V.RAWTEXT:this._stateRawtext(e);break;case V.SCRIPT_DATA:this._stateScriptData(e);break;case V.PLAINTEXT:this._statePlaintext(e);break;case V.TAG_OPEN:this._stateTagOpen(e);break;case V.END_TAG_OPEN:this._stateEndTagOpen(e);break;case V.TAG_NAME:this._stateTagName(e);break;case V.RCDATA_LESS_THAN_SIGN:this._stateRcdataLessThanSign(e);break;case V.RCDATA_END_TAG_OPEN:this._stateRcdataEndTagOpen(e);break;case V.RCDATA_END_TAG_NAME:this._stateRcdataEndTagName(e);break;case V.RAWTEXT_LESS_THAN_SIGN:this._stateRawtextLessThanSign(e);break;case V.RAWTEXT_END_TAG_OPEN:this._stateRawtextEndTagOpen(e);break;case V.RAWTEXT_END_TAG_NAME:this._stateRawtextEndTagName(e);break;case V.SCRIPT_DATA_LESS_THAN_SIGN:this._stateScriptDataLessThanSign(e);break;case V.SCRIPT_DATA_END_TAG_OPEN:this._stateScriptDataEndTagOpen(e);break;case V.SCRIPT_DATA_END_TAG_NAME:this._stateScriptDataEndTagName(e);break;case V.SCRIPT_DATA_ESCAPE_START:this._stateScriptDataEscapeStart(e);break;case V.SCRIPT_DATA_ESCAPE_START_DASH:this._stateScriptDataEscapeStartDash(e);break;case V.SCRIPT_DATA_ESCAPED:this._stateScriptDataEscaped(e);break;case V.SCRIPT_DATA_ESCAPED_DASH:this._stateScriptDataEscapedDash(e);break;case V.SCRIPT_DATA_ESCAPED_DASH_DASH:this._stateScriptDataEscapedDashDash(e);break;case V.SCRIPT_DATA_ESCAPED_LESS_THAN_SIGN:this._stateScriptDataEscapedLessThanSign(e);break;case V.SCRIPT_DATA_ESCAPED_END_TAG_OPEN:this._stateScriptDataEscapedEndTagOpen(e);break;case V.SCRIPT_DATA_ESCAPED_END_TAG_NAME:this._stateScriptDataEscapedEndTagName(e);break;case V.SCRIPT_DATA_DOUBLE_ESCAPE_START:this._stateScriptDataDoubleEscapeStart(e);break;case V.SCRIPT_DATA_DOUBLE_ESCAPED:this._stateScriptDataDoubleEscaped(e);break;case V.SCRIPT_DATA_DOUBLE_ESCAPED_DASH:this._stateScriptDataDoubleEscapedDash(e);break;case V.SCRIPT_DATA_DOUBLE_ESCAPED_DASH_DASH:this._stateScriptDataDoubleEscapedDashDash(e);break;case V.SCRIPT_DATA_DOUBLE_ESCAPED_LESS_THAN_SIGN:this._stateScriptDataDoubleEscapedLessThanSign(e);break;case V.SCRIPT_DATA_DOUBLE_ESCAPE_END:this._stateScriptDataDoubleEscapeEnd(e);break;case V.BEFORE_ATTRIBUTE_NAME:this._stateBeforeAttributeName(e);break;case V.ATTRIBUTE_NAME:this._stateAttributeName(e);break;case V.AFTER_ATTRIBUTE_NAME:this._stateAfterAttributeName(e);break;case V.BEFORE_ATTRIBUTE_VALUE:this._stateBeforeAttributeValue(e);break;case V.ATTRIBUTE_VALUE_DOUBLE_QUOTED:this._stateAttributeValueDoubleQuoted(e);break;case V.ATTRIBUTE_VALUE_SINGLE_QUOTED:this._stateAttributeValueSingleQuoted(e);break;case V.ATTRIBUTE_VALUE_UNQUOTED:this._stateAttributeValueUnquoted(e);break;case V.AFTER_ATTRIBUTE_VALUE_QUOTED:this._stateAfterAttributeValueQuoted(e);break;case V.SELF_CLOSING_START_TAG:this._stateSelfClosingStartTag(e);break;case V.BOGUS_COMMENT:this._stateBogusComment(e);break;case V.MARKUP_DECLARATION_OPEN:this._stateMarkupDeclarationOpen(e);break;case V.COMMENT_START:this._stateCommentStart(e);break;case V.COMMENT_START_DASH:this._stateCommentStartDash(e);break;case V.COMMENT:this._stateComment(e);break;case V.COMMENT_LESS_THAN_SIGN:this._stateCommentLessThanSign(e);break;case V.COMMENT_LESS_THAN_SIGN_BANG:this._stateCommentLessThanSignBang(e);break;case V.COMMENT_LESS_THAN_SIGN_BANG_DASH:this._stateCommentLessThanSignBangDash(e);break;case V.COMMENT_LESS_THAN_SIGN_BANG_DASH_DASH:this._stateCommentLessThanSignBangDashDash(e);break;case V.COMMENT_END_DASH:this._stateCommentEndDash(e);break;case V.COMMENT_END:this._stateCommentEnd(e);break;case V.COMMENT_END_BANG:this._stateCommentEndBang(e);break;case V.DOCTYPE:this._stateDoctype(e);break;case V.BEFORE_DOCTYPE_NAME:this._stateBeforeDoctypeName(e);break;case V.DOCTYPE_NAME:this._stateDoctypeName(e);break;case V.AFTER_DOCTYPE_NAME:this._stateAfterDoctypeName(e);break;case V.AFTER_DOCTYPE_PUBLIC_KEYWORD:this._stateAfterDoctypePublicKeyword(e);break;case V.BEFORE_DOCTYPE_PUBLIC_IDENTIFIER:this._stateBeforeDoctypePublicIdentifier(e);break;case V.DOCTYPE_PUBLIC_IDENTIFIER_DOUBLE_QUOTED:this._stateDoctypePublicIdentifierDoubleQuoted(e);break;case V.DOCTYPE_PUBLIC_IDENTIFIER_SINGLE_QUOTED:this._stateDoctypePublicIdentifierSingleQuoted(e);break;case V.AFTER_DOCTYPE_PUBLIC_IDENTIFIER:this._stateAfterDoctypePublicIdentifier(e);break;case V.BETWEEN_DOCTYPE_PUBLIC_AND_SYSTEM_IDENTIFIERS:this._stateBetweenDoctypePublicAndSystemIdentifiers(e);break;case V.AFTER_DOCTYPE_SYSTEM_KEYWORD:this._stateAfterDoctypeSystemKeyword(e);break;case V.BEFORE_DOCTYPE_SYSTEM_IDENTIFIER:this._stateBeforeDoctypeSystemIdentifier(e);break;case V.DOCTYPE_SYSTEM_IDENTIFIER_DOUBLE_QUOTED:this._stateDoctypeSystemIdentifierDoubleQuoted(e);break;case V.DOCTYPE_SYSTEM_IDENTIFIER_SINGLE_QUOTED:this._stateDoctypeSystemIdentifierSingleQuoted(e);break;case V.AFTER_DOCTYPE_SYSTEM_IDENTIFIER:this._stateAfterDoctypeSystemIdentifier(e);break;case V.BOGUS_DOCTYPE:this._stateBogusDoctype(e);break;case V.CDATA_SECTION:this._stateCdataSection(e);break;case V.CDATA_SECTION_BRACKET:this._stateCdataSectionBracket(e);break;case V.CDATA_SECTION_END:this._stateCdataSectionEnd(e);break;case V.CHARACTER_REFERENCE:this._stateCharacterReference();break;case V.AMBIGUOUS_AMPERSAND:this._stateAmbiguousAmpersand(e);break;default:throw Error(`Unknown state`)}}_stateData(e){switch(e){case F.LESS_THAN_SIGN:this.state=V.TAG_OPEN;break;case F.AMPERSAND:this._startCharacterReference();break;case F.NULL:this._err(I.unexpectedNullCharacter),this._emitCodePoint(e);break;case F.EOF:this._emitEOFToken();break;default:this._emitCodePoint(e)}}_stateRcdata(e){switch(e){case F.AMPERSAND:this._startCharacterReference();break;case F.LESS_THAN_SIGN:this.state=V.RCDATA_LESS_THAN_SIGN;break;case F.NULL:this._err(I.unexpectedNullCharacter),this._emitChars(`�`);break;case F.EOF:this._emitEOFToken();break;default:this._emitCodePoint(e)}}_stateRawtext(e){switch(e){case F.LESS_THAN_SIGN:this.state=V.RAWTEXT_LESS_THAN_SIGN;break;case 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DP={TEXT_HTML:`text/html`,APPLICATION_XML:`application/xhtml+xml`},OP=`definitionurl`,kP=`definitionURL`,AP=new Map(`attributeName.attributeType.baseFrequency.baseProfile.calcMode.clipPathUnits.diffuseConstant.edgeMode.filterUnits.glyphRef.gradientTransform.gradientUnits.kernelMatrix.kernelUnitLength.keyPoints.keySplines.keyTimes.lengthAdjust.limitingConeAngle.markerHeight.markerUnits.markerWidth.maskContentUnits.maskUnits.numOctaves.pathLength.patternContentUnits.patternTransform.patternUnits.pointsAtX.pointsAtY.pointsAtZ.preserveAlpha.preserveAspectRatio.primitiveUnits.refX.refY.repeatCount.repeatDur.requiredExtensions.requiredFeatures.specularConstant.specularExponent.spreadMethod.startOffset.stdDeviation.stitchTiles.surfaceScale.systemLanguage.tableValues.targetX.targetY.textLength.viewBox.viewTarget.xChannelSelector.yChannelSelector.zoomAndPan`.split(`.`).map(e=>[e.toLowerCase(),e])),jP=new 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t,n;if(this._shouldFosterParentOnInsertion()?({parent:t,beforeElement:n}=this._findFosterParentingLocation(),n?this.treeAdapter.insertTextBefore(t,e.chars,n):this.treeAdapter.insertText(t,e.chars)):(t=this.openElements.currentTmplContentOrNode,this.treeAdapter.insertText(t,e.chars)),!e.location)return;let r=this.treeAdapter.getChildNodes(t),i=r[(n?r.lastIndexOf(n):r.length)-1];if(this.treeAdapter.getNodeSourceCodeLocation(i)){let{endLine:t,endCol:n,endOffset:r}=e.location;this.treeAdapter.updateNodeSourceCodeLocation(i,{endLine:t,endCol:n,endOffset:r})}else this.options.sourceCodeLocationInfo&&this.treeAdapter.setNodeSourceCodeLocation(i,e.location)}_adoptNodes(e,t){for(let n=this.treeAdapter.getFirstChild(e);n;n=this.treeAdapter.getFirstChild(e))this.treeAdapter.detachNode(n),this.treeAdapter.appendChild(t,n)}_setEndLocation(e,t){if(this.treeAdapter.getNodeSourceCodeLocation(e)&&t.location){let n=t.location,r=this.treeAdapter.getTagName(e),i=t.type===bN.END_TAG&&r===t.tagName?{endTag:{...n},endLine:n.endLine,endCol:n.endCol,endOffset:n.endOffset}:{endLine:n.startLine,endCol:n.startCol,endOffset:n.startOffset};this.treeAdapter.updateNodeSourceCodeLocation(e,i)}}shouldProcessStartTagTokenInForeignContent(e){if(!this.currentNotInHTML)return!1;let t,n;return this.openElements.stackTop===0&&this.fragmentContext?(t=this.fragmentContext,n=this.fragmentContextID):{current:t,currentTagId:n}=this.openElements,e.tagID===z.SVG&&this.treeAdapter.getTagName(t)===R.ANNOTATION_XML&&this.treeAdapter.getNamespaceURI(t)===L.MATHML?!1:this.tokenizer.inForeignNode||(e.tagID===z.MGLYPH||e.tagID===z.MALIGNMARK)&&n!==void 0&&!this._isIntegrationPoint(n,t,L.HTML)}_processToken(e){switch(e.type){case bN.CHARACTER:this.onCharacter(e);break;case bN.NULL_CHARACTER:this.onNullCharacter(e);break;case bN.COMMENT:this.onComment(e);break;case bN.DOCTYPE:this.onDoctype(e);break;case bN.START_TAG:this._processStartTag(e);break;case bN.END_TAG:this.onEndTag(e);break;case bN.EOF:this.onEof(e);break;case bN.WHITESPACE_CHARACTER:this.onWhitespaceCharacter(e);break}}_isIntegrationPoint(e,t,n){return VP(e,this.treeAdapter.getNamespaceURI(t),this.treeAdapter.getAttrList(t),n)}_reconstructActiveFormattingElements(){let e=this.activeFormattingElements.entries.length;if(e){let t=this.activeFormattingElements.entries.findIndex(e=>e.type===fP.Marker||this.openElements.contains(e.element)),n=t===-1?e-1:t-1;for(let e=n;e>=0;e--){let 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t=this.rules.inline.tag.exec(e);if(t)return!this.lexer.state.inLink&&this.rules.other.startATag.test(t[0])?this.lexer.state.inLink=!0:this.lexer.state.inLink&&this.rules.other.endATag.test(t[0])&&(this.lexer.state.inLink=!1),!this.lexer.state.inRawBlock&&this.rules.other.startPreScriptTag.test(t[0])?this.lexer.state.inRawBlock=!0:this.lexer.state.inRawBlock&&this.rules.other.endPreScriptTag.test(t[0])&&(this.lexer.state.inRawBlock=!1),{type:`html`,raw:t[0],inLink:this.lexer.state.inLink,inRawBlock:this.lexer.state.inRawBlock,block:!1,text:t[0]}}link(e){let t=this.rules.inline.link.exec(e);if(t){let e=t[2].trim();if(!this.options.pedantic&&this.rules.other.startAngleBracket.test(e)){if(!this.rules.other.endAngleBracket.test(e))return;let t=$X(e.slice(0,-1),`\\`);if((e.length-t.length)%2==0)return}else{let e=eZ(t[2],`()`);if(e===-2)return;if(e>-1){let n=(t[0].indexOf(`!`)===0?5:4)+t[1].length+e;t[2]=t[2].substring(0,e),t[0]=t[0].substring(0,n).trim(),t[3]=``}}let n=t[2],r=``;if(this.options.pedantic){let e=this.rules.other.pedanticHrefTitle.exec(n);e&&(n=e[1],r=e[3])}else r=t[3]?t[3].slice(1,-1):``;return n=n.trim(),this.rules.other.startAngleBracket.test(n)&&(n=this.options.pedantic&&!this.rules.other.endAngleBracket.test(e)?n.slice(1):n.slice(1,-1)),nZ(t,{href:n&&n.replace(this.rules.inline.anyPunctuation,`$1`),title:r&&r.replace(this.rules.inline.anyPunctuation,`$1`)},t[0],this.lexer,this.rules)}}reflink(e,t){let n;if((n=this.rules.inline.reflink.exec(e))||(n=this.rules.inline.nolink.exec(e))){let e=t[(n[2]||n[1]).replace(this.rules.other.multipleSpaceGlobal,` `).toLowerCase()];if(!e){let e=n[0].charAt(0);return{type:`text`,raw:e,text:e}}return nZ(n,e,n[0],this.lexer,this.rules)}}emStrong(e,t,n=``){let r=this.rules.inline.emStrongLDelim.exec(e);if(!(!r||!r[1]&&!r[2]&&!r[3]&&!r[4]||r[4]&&n.match(this.rules.other.unicodeAlphaNumeric))&&(!(r[1]||r[3])||!n||this.rules.inline.punctuation.exec(n))){let n=[...r[0]].length-1,i,a,o=n,s=0,c=r[0][0]===`*`?this.rules.inline.emStrongRDelimAst:this.rules.inline.emStrongRDelimUnd;for(c.lastIndex=0,t=t.slice(-1*e.length+n);(r=c.exec(t))!=null;){if(i=r[1]||r[2]||r[3]||r[4]||r[5]||r[6],!i)continue;if(a=[...i].length,r[3]||r[4]){o+=a;continue}else if((r[5]||r[6])&&n%3&&!((n+a)%3)){s+=a;continue}if(o-=a,o>0)continue;a=Math.min(a,a+o+s);let t=[...r[0]][0].length,c=e.slice(0,n+r.index+t+a);if(Math.min(n,a)%2){let e=c.slice(1,-1);return{type:`em`,raw:c,text:e,tokens:this.lexer.inlineTokens(e)}}let l=c.slice(2,-2);return{type:`strong`,raw:c,text:l,tokens:this.lexer.inlineTokens(l)}}}}codespan(e){let t=this.rules.inline.code.exec(e);if(t){let e=t[2].replace(this.rules.other.newLineCharGlobal,` `),n=this.rules.other.nonSpaceChar.test(e),r=this.rules.other.startingSpaceChar.test(e)&&this.rules.other.endingSpaceChar.test(e);return n&&r&&(e=e.substring(1,e.length-1)),{type:`codespan`,raw:t[0],text:e}}}br(e){let t=this.rules.inline.br.exec(e);if(t)return{type:`br`,raw:t[0]}}del(e,t,n=``){let r=this.rules.inline.delLDelim.exec(e);if(r&&(!r[1]||!n||this.rules.inline.punctuation.exec(n))){let n=[...r[0]].length-1,i,a,o=n,s=this.rules.inline.delRDelim;for(s.lastIndex=0,t=t.slice(-1*e.length+n);(r=s.exec(t))!=null;){if(i=r[1]||r[2]||r[3]||r[4]||r[5]||r[6],!i||(a=[...i].length,a!==n))continue;if(r[3]||r[4]){o+=a;continue}if(o-=a,o>0)continue;a=Math.min(a,a+o);let t=[...r[0]][0].length,s=e.slice(0,n+r.index+t+a),c=s.slice(n,-n);return{type:`del`,raw:s,text:c,tokens:this.lexer.inlineTokens(c)}}}}autolink(e){let t=this.rules.inline.autolink.exec(e);if(t){let e,n;return t[2]===`@`?(e=t[1],n=`mailto:`+e):(e=t[1],n=e),{type:`link`,raw:t[0],text:e,href:n,tokens:[{type:`text`,raw:e,text:e}]}}}url(e){let t;if(t=this.rules.inline.url.exec(e)){let e,n;if(t[2]===`@`)e=t[0],n=`mailto:`+e;else{let r;do 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