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da(e);default:throw Error(`Unknown Normalizer type: ${e.type}`)}}var pa=fa,ma=class extends ea{pre_tokenize(e,t){return(Array.isArray(e)?e.map(e=>this.pre_tokenize_text(e,t)):this.pre_tokenize_text(e,t)).flat()}_call(e,t){return this.pre_tokenize(e,t)}},ha=class extends ma{constructor(e){super(),this.config=e,this.add_prefix_space=this.config.add_prefix_space??!1,this.trim_offsets=this.config.trim_offsets??!1,this.use_regex=this.config.use_regex??!0,this.pattern=/'s|'t|'re|'ve|'m|'ll|'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+/gu,this.byte_encoder=Fi,this.text_encoder=new TextEncoder}pre_tokenize_text(e,t){return this.add_prefix_space&&!e.startsWith(` `)&&(e=` `+e),(this.use_regex?e.match(this.pattern)||[]:[e]).map(e=>Array.from(this.text_encoder.encode(e),e=>this.byte_encoder[e]).join(``))}},ga=class extends ma{pre_tokenize_text(e,t){return e.match(/\w+|[^\w\s]+/g)||[]}},_a=class extends ma{constructor(e){super(),this.replacement=e.replacement??`▁`,this.str_rep=e.str_rep||this.replacement,this.prepend_scheme=e.prepend_scheme??`always`}pre_tokenize_text(e,t){let{section_index:n=void 0}=t??{},r=e.replaceAll(` `,this.str_rep);return!r.startsWith(this.replacement)&&(this.prepend_scheme===`always`||this.prepend_scheme===`first`&&n===0)&&(r=this.str_rep+r),[r]}},va=class extends ma{constructor(e){super(),this.config=e,this.pattern=Vi(this.config.pattern??{},this.config.invert??!0)}pre_tokenize_text(e){return this.pattern===null?[]:this.config.invert?e.match(this.pattern)||[]:this.config.behavior?.toLowerCase()===`removed`?e.split(this.pattern).filter(e=>e):Xi(e,this.pattern)}},ya=class extends ma{constructor(e){super(),this.config=e,this.pattern=RegExp(`[^${zi}]+|[${zi}]+`,`gu`)}pre_tokenize_text(e){return e.match(this.pattern)||[]}},ba=class extends ma{constructor(e){super(),this.config=e;let t=`[^\\d]+|\\d${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}},Aa=class e{constructor(e,t){this.is_leaf=e,this.children=t}static default(){return new e(!1,new Map)}},ja=class{constructor(){this.root=Aa.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=Aa.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)}}},Ma=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 t.prev=this.prev,t.backtrace_score=this.backtrace_score,t}},Na=class{constructor(e,t,n){this.chars=Array.from(e),this.len=this.chars.length,this.bos_token_id=t,this.eos_token_id=n,this.nodes=[],this.begin_nodes=Array.from({length:this.len+1},()=>[]),this.end_nodes=Array.from({length:this.len+1},()=>[]);let r=new Ma(this.bos_token_id??0,0,0,0,0),i=new Ma(this.eos_token_id??0,1,this.len,0,0);this.nodes.push(r.clone()),this.nodes.push(i.clone()),this.begin_nodes[this.len].push(i),this.end_nodes[0].push(r)}insert(e,t,n,r){let i=this.nodes.length,a=new Ma(r,i,e,t,n);this.begin_nodes[e].push(a),this.end_nodes[e+t].push(a),this.nodes.push(a)}viterbi(){let e=this.len,t=0;for(;t<=e;){if(this.begin_nodes[t].length==0)return[];for(let e of this.begin_nodes[t]){e.prev=null;let n=0,r=null;for(let i of this.end_nodes[t]){let t=i.backtrace_score+e.score;(r===null||t>n)&&(r=i.clone(),n=t)}if(r!==null)e.prev=r,e.backtrace_score=n;else return[]}++t}let 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 Pa(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=Pa(this.scores)[0],this.unk_score=this.min_score-10,this.scores[this.unk_token_id]=this.unk_score,this.trie=new ja,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 this._heap[0]}push(...e){return this.extend(e)}extend(e){for(let t of e)if(this.size0&&this._swap(0,t),this._heap.pop(),this._sift_down(),e}replace(e){let t=this.peek();return this._heap[0]=e,this._sift_down(),t}_parent(e){return(e+1>>>1)-1}_left(e){return(e<<1)+1}_right(e){return e+1<<1}_greater(e,t){return this._comparator(this._heap[e],this._heap[t])}_swap(e,t){let n=this._heap[e];this._heap[e]=this._heap[t],this._heap[t]=n}_sift_up(){this._sift_up_from(this.size-1)}_sift_up_from(e){for(;e>0&&this._greater(e,this._parent(e));)this._swap(e,this._parent(e)),e=this._parent(e)}_sift_down(){let e=0;for(;this._left(e)this.capacity&&this.cache.delete(this.cache.keys().next().value)}clear(){this.cache.clear()}},Ra=class extends Oa{constructor(e){super(e),this.tokens_to_ids=Yi(e.vocab),this.unk_token_id=this.tokens_to_ids.get(e.unk_token),this.unk_token=e.unk_token,this.vocab=Array(this.tokens_to_ids.size);for(let[e,t]of this.tokens_to_ids)this.vocab[t]=e;this.merges=Array.isArray(e.merges[0])?e.merges:e.merges.map(e=>e.split(` `,2)),this.bpe_ranks=new Map(this.merges.map((e,t)=>[JSON.stringify(e),t])),this.end_of_word_suffix=e.end_of_word_suffix,this.continuing_subword_suffix=e.continuing_subword_suffix??null,this.byte_fallback=this.config.byte_fallback??!1,this.byte_fallback&&(this.text_encoder=new TextEncoder),this.ignore_merges=this.config.ignore_merges??!1,this.max_length_to_cache=256,this.cache_capacity=1e4,this.cache=new La(this.cache_capacity)}clear_cache(){this.cache.clear()}bpe(e){if(e.length===0)return[];let t=this.cache.get(e);if(t!==void 0)return t;let n=Array.from(e);this.end_of_word_suffix&&(n[n.length-1]+=this.end_of_word_suffix);let r=[];if(n.length>1){let e=new Ia((e,t)=>e.score`<0x${e.toString(16).toUpperCase().padStart(2,`0`)}>`);e.every(e=>this.tokens_to_ids.has(e))?t.push(...e):this.unk_token!=null&&t.push(this.unk_token)}else this.unk_token!=null&&t.push(this.unk_token)}return t}},za=class extends Oa{constructor(e,t){super(e);let n=e.vocab;this.tokens_to_ids=Yi(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 Ba(e,t){switch(e.type){case`WordPiece`:return new ka(e);case`Unigram`:return new Fa(e,t.eos_token);case`BPE`:return new Ra(e);default:if(e.vocab)return Array.isArray(e.vocab)?new Fa(e,t.eos_token):Object.hasOwn(e,`continuing_subword_prefix`)&&Object.hasOwn(e,`unk_token`)?Object.hasOwn(e,`merges`)?new Ra(e):new ka(e):new za(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 Va=Ba,Ha=class extends ea{constructor(e){super(),this.config=e}_call(e,...t){return this.post_process(e,...t)}},Ua=class extends Ha{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=Ji(i,e),a=Ji(a,Array(e.length).fill(o.Sequence.type_id))):o.Sequence.id===`B`&&(i=Ji(i,t),a=Ji(a,Array(t.length).fill(o.Sequence.type_id))));return{tokens:i,token_type_ids:a}}},Wa=class extends Ha{post_process(e,t=null){return{tokens:e,tokens_pair:t}}},Ga=class extends Ha{constructor(e){super(e),this.sep=e.sep,this.cls=e.cls}post_process(e,t=null,n=!0){n&&(e=Ji([this.cls[0]],e,[this.sep[0]]));let r=Array(e.length).fill(0);if(t){let i=[],a=n?[this.sep[0]]:[];e=Ji(e,i,t,a),r=Ji(r,Array(t.length+i.length+a.length).fill(1))}return{tokens:e,token_type_ids:r}}},Ka=class extends Ha{constructor(e){super(e),this.sep=e.sep,this.cls=e.cls}post_process(e,t,n=!0){n&&(e=Ji([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=Ji(e,i,t,a),r=Ji(r,Array(t.length+i.length+a.length).fill(1))}return{tokens:e,token_type_ids:r}}},qa=class extends Ha{constructor(e){super(e),this.processors=(e.processors??[]).map(e=>Ya(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 Ja(e){if(e===null)return null;switch(e.type){case`TemplateProcessing`:return new Ua(e);case`ByteLevel`:return new Wa(e);case`BertProcessing`:return new Ga(e);case`RobertaProcessing`:return new Ka(e);case`Sequence`:return new qa(e);default:throw Error(`Unknown PostProcessor type: ${e.type}`)}}var Ya=Ja,Xa=class extends ea{constructor(e){super(),this.config=e,this.added_tokens=[],this.end_of_word_suffix=null,this.trim_offsets=`trim_offsets`in e?e.trim_offsets:!1}_call(e){return this.decode(e)}decode(e){return this.decode_chain(e).join(``)}},Za=class extends Xa{constructor(e){super(e),this.byte_decoder=Ii,this.text_decoder=new TextDecoder(`utf-8`,{fatal:!1,ignoreBOM:!0}),this.end_of_word_suffix=null}convert_tokens_to_string(e){let t=e.join(``),n=new Uint8Array([...t].map(e=>this.byte_decoder[e]));return this.text_decoder.decode(n)}decode_chain(e){let t=[],n=[];for(let r of e)this.added_tokens.find(e=>e.content===r)===void 0?n.push(r):(n.length>0&&(t.push(this.convert_tokens_to_string(n)),n=[]),t.push(r));return n.length>0&&t.push(this.convert_tokens_to_string(n)),t}},Qa=class extends Xa{constructor(e){super(e),this.cleanup=e.cleanup}decode_chain(e){return e.map((e,t)=>{if(t!==0){let t=this.config.prefix;e=t&&e.startsWith(t)?e.replace(t,``):` `+e}return this.cleanup&&(e=Bi(e)),e})}},$a=class extends Xa{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?``:` `))}},to=class extends Xa{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=Bi(n).replaceAll(this.word_delimiter_token,` `).trim()),n}decode_chain(e){return[this.convert_tokens_to_string(e)]}},no=class extends Xa{constructor(e){super(e),this.decoders=(e.decoders??[]).map(e=>co(e))}decode_chain(e){return this.decoders.reduce((e,t)=>t.decode_chain(e),e)}},ro=class extends Xa{decode_chain(e){let t=Vi(this.config.pattern),n=this.config.content??``;return t===null?e:e.map(e=>e.replaceAll(t,n))}},io=class extends Xa{decode_chain(e){return[e.join(``)]}},ao=class extends Xa{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 so(e){if(e===null)return null;switch(e.type){case`ByteLevel`:return new Za(e);case`WordPiece`:return new Qa(e);case`Metaspace`:return new $a(e);case`BPEDecoder`:return new eo(e);case`CTC`:return new to(e);case`Sequence`:return new no(e);case`Replace`:return new ro(e);case`Fuse`:return new io(e);case`Strip`:return new ao(e);case`ByteFallback`:return new oo(e);default:throw Error(`Unknown Decoder type: ${e.type}`)}}var co=so,lo=class{constructor(e,t){let n=Qi(e,`Tokenizer`,[`model`,`decoder`,`post_processor`,`pre_tokenizer`,`normalizer`]);if(n)throw Error(n);let r=Qi(t,`Config`);if(r)throw Error(r);this.tokenizer=e,this.config=t,this.normalizer=pa(this.tokenizer.normalizer),this.pre_tokenizer=Da(this.tokenizer.pre_tokenizer),this.model=Va(this.tokenizer.model,this.config),this.post_processor=Ya(this.tokenizer.post_processor),this.decoder=co(this.tokenizer.decoder),this.special_tokens=[],this.all_special_ids=[],this.added_tokens=[];let i=[],a=[];this.added_tokens_map=new Map;for(let e of this.tokenizer.added_tokens){let t=new Pi(e);if(this.added_tokens.push(t),this.model.tokens_to_ids.set(t.content,t.id),this.model.vocab[t.id]=t.content,t.special&&(this.special_tokens.push(t.content),this.all_special_ids.push(t.id)),this.added_tokens_map.set(t.content,t),t.normalized&&this.normalizer!==null){let e=this.normalizer(t.content);a.push(e),this.added_tokens_map.set(e,t)}else 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 Ni(i),this.splitter_normalized=new Ni(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||!Gi(e[0]))throw Error(`token_ids must be 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Error(`replace() requires at least two arguments`);let t=e[0],n=e[1];if(!(t instanceof V&&n instanceof V))throw Error(`replace() arguments must be strings`);let r;if(r=e.length>2?e[2].type===`KeywordArgumentsValue`?e[2].value.get(`count`)??new gs:e[2]:new gs,!(r instanceof os||r instanceof gs))throw Error(`replace() count argument must be a number or null`);return new V(ns(this.value,t.value,n.value,r.value))})]])},H=class extends as{type=`BooleanValue`},cs=/[\x7f-\uffff]/g;function ls(e){return e.replace(cs,e=>`\\u`+e.charCodeAt(0).toString(16).padStart(4,`0`))}function us(e,t={},n=0,r=!0){let{indent:i=null,ensureAscii:a=!1,separators:o=null,sortKeys:s=!1}=t,c,l;switch(o?[c,l]=o:i?(c=`,`,l=`: `):(c=`, `,l=`: `),e.type){case`NullValue`:return`null`;case`UndefinedValue`:return r?`null`:`undefined`;case`IntegerValue`:case`FloatValue`:case`BooleanValue`:return JSON.stringify(e.value);case`StringValue`:{let t=JSON.stringify(e.value);return 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fs?(t=e.value,!1):!0),r=n.at(0)??t.get(`case_sensitive`)??new H(!1);if(!(r instanceof H))throw Error(`case_sensitive must be a boolean`);let i=n.at(1)??t.get(`by`)??new V(`key`);if(!(i instanceof V))throw Error(`by must be a string`);if(![`key`,`value`].includes(i.value))throw Error(`by must be either 'key' or 'value'`);let a=n.at(2)??t.get(`reverse`)??new H(!1);if(!(a instanceof H))throw Error(`reverse must be a boolean`);return new ps(Array.from(this.value.entries()).map(([e,t])=>new ps([new V(e),t])).sort((e,t)=>{let n=i.value===`key`?0:1,o=e.value[n],s=t.value[n],c=xs(o,s,r.value);return a.value?-c:c}))})]]);items(){return new ps(Array.from(this.value.entries()).map(([e,t])=>new ps([new V(e),t])))}keys(){return new ps(Array.from(this.value.keys()).map(e=>new V(e)))}values(){return new ps(Array.from(this.value.values()))}toString(){return us(this,{},0,!1)}},fs=class extends ds{type=`KeywordArgumentsValue`},ps=class extends as{type=`ArrayValue`;builtins=new Map([[`length`,new os(this.value.length)]]);__bool__(){return new H(this.value.length>0)}toString(){return us(this,{},0,!1)}},ms=class extends ps{type=`TupleValue`},hs=class extends as{type=`FunctionValue`},gs=class extends as{type=`NullValue`},_s=class extends as{type=`UndefinedValue`},vs=class{constructor(e){this.parent=e}variables=new Map([[`namespace`,new hs(e=>{if(e.length===0)return new ds(new Map);if(e.length!==1||!(e[0]instanceof ds))throw Error("`namespace` expects either zero arguments or a single object argument");return e[0]})]]);tests=new Map([[`boolean`,e=>e.type===`BooleanValue`],[`callable`,e=>e instanceof hs],[`odd`,e=>{if(!(e instanceof os))throw Error(`cannot odd on ${e.type}`);return e.value%2!=0}],[`even`,e=>{if(!(e instanceof os))throw Error(`cannot even on ${e.type}`);return e.value%2==0}],[`false`,e=>e.type===`BooleanValue`&&!e.value],[`true`,e=>e.type===`BooleanValue`&&e.value],[`none`,e=>e.type===`NullValue`],[`string`,e=>e.type===`StringValue`],[`number`,e=>e instanceof os||e instanceof ss],[`integer`,e=>e instanceof os],[`iterable`,e=>e.type===`ArrayValue`||e.type===`StringValue`],[`mapping`,e=>e instanceof ds],[`sequence`,e=>e instanceof ps||e instanceof ds||e instanceof V],[`lower`,e=>{let t=e.value;return e.type===`StringValue`&&t===t.toLowerCase()}],[`upper`,e=>{let t=e.value;return e.type===`StringValue`&&t===t.toUpperCase()}],[`none`,e=>e.type===`NullValue`],[`defined`,e=>e.type!==`UndefinedValue`],[`undefined`,e=>e.type===`UndefinedValue`],[`equalto`,(e,t)=>e.value===t.value],[`eq`,(e,t)=>e.value===t.value]]);set(e,t){return this.declareVariable(e,Cs(t))}declareVariable(e,t){if(this.variables.has(e))throw SyntaxError(`Variable already declared: ${e}`);return this.variables.set(e,t),t}setVariable(e,t){return this.variables.set(e,t),t}resolve(e){if(this.variables.has(e))return this;if(this.parent)return this.parent.resolve(e);throw Error(`Unknown variable: ${e}`)}lookupVariable(e){try{return this.resolve(e).variables.get(e)??new _s}catch{return new _s}}};function ys(e){e.set(`false`,!1),e.set(`true`,!0),e.set(`none`,null),e.set(`raise_exception`,e=>{throw Error(e)}),e.set(`range`,Xo),e.set(`strftime_now`,$o),e.set(`True`,!0),e.set(`False`,!1),e.set(`None`,null)}function bs(e,t){let n=t.split(`.`),r=e;for(let e of n)if(r instanceof ds)r=r.value.get(e)??new _s;else if(r instanceof ps){let t=parseInt(e,10);if(!isNaN(t)&&t>=0&&te instanceof os||e instanceof ss||e instanceof H,i=e=>e instanceof H?e.value?1:0:e.value;if(r(e)&&r(t)){let n=i(e),r=i(t);return nr?1:0}if(e.type!==t.type)throw Error(`Cannot compare different types: ${e.type} and ${t.type}`);switch(e.type){case`StringValue`:{let r=e.value,i=t.value;return n||(r=r.toLowerCase(),i=i.toLowerCase()),ri?1:0}default:throw Error(`Cannot compare type: ${e.type}`)}}var Ss=class{global;constructor(e){this.global=e??new vs}run(e){return this.evaluate(e,this.global)}evaluateBinaryExpression(e,t){let n=this.evaluate(e.left,t);switch(e.operator.value){case`and`:return n.__bool__().value?this.evaluate(e.right,t):n;case`or`:return n.__bool__().value?n:this.evaluate(e.right,t)}let r=this.evaluate(e.right,t);switch(e.operator.value){case`==`:return new H(n.value==r.value);case`!=`:return new H(n.value!=r.value)}if(n instanceof _s||r instanceof _s){if(r instanceof _s&&[`in`,`not in`].includes(e.operator.value))return new H(e.operator.value===`not in`);throw Error(`Cannot perform operation ${e.operator.value} on undefined values`)}else if(n instanceof gs||r instanceof gs)throw Error(`Cannot perform operation on null values`);else if(e.operator.value===`~`)return new V(n.value.toString()+r.value.toString());else if((n instanceof os||n instanceof ss)&&(r instanceof os||r instanceof ss)){let t=n.value,i=r.value;switch(e.operator.value){case`+`:case`-`:case`*`:{let a=e.operator.value===`+`?t+i:e.operator.value===`-`?t-i:t*i;return n instanceof ss||r instanceof ss?new ss(a):new os(a)}case`/`:return new ss(t/i);case`%`:{let e=t%i;return n instanceof ss||r instanceof ss?new ss(e):new os(e)}case`<`:return new H(t`:return new H(t>i);case`>=`:return new H(t>=i);case`<=`:return new H(t<=i)}}else if(n instanceof ps&&r instanceof ps)switch(e.operator.value){case`+`:return new ps(n.value.concat(r.value))}else if(r instanceof ps){let t=r.value.find(e=>e.value===n.value)!==void 0;switch(e.operator.value){case`in`:return new H(t);case`not in`:return new H(!t)}}if(n instanceof V||r instanceof V)switch(e.operator.value){case`+`:return new V(n.value.toString()+r.value.toString())}if(n instanceof V&&r instanceof V)switch(e.operator.value){case`in`:return new H(r.value.includes(n.value));case`not in`:return new H(!r.value.includes(n.value))}if(n instanceof V&&r instanceof ds)switch(e.operator.value){case`in`:return new H(r.value.has(n.value));case`not in`:return new H(!r.value.has(n.value))}throw SyntaxError(`Unknown operator "${e.operator.value}" between ${n.type} and ${r.type}`)}evaluateArguments(e,t){let n=[],r=new Map;for(let i of e)if(i.type===`SpreadExpression`){let e=i,r=this.evaluate(e.argument,t);if(!(r instanceof ps))throw Error(`Cannot unpack non-iterable type: ${r.type}`);for(let e of r.value)n.push(e)}else if(i.type===`KeywordArgumentExpression`){let e=i;r.set(e.key.value,this.evaluate(e.value,t))}else{if(r.size>0)throw Error(`Positional arguments must come before keyword arguments`);n.push(this.evaluate(i,t))}return[n,r]}applyFilter(e,t,n){if(t.type===`Identifier`){let r=t;if(r.value===`safe`)return e;if(r.value===`tojson`)return new V(us(e,{}));if(e instanceof ps)switch(r.value){case`list`:return e;case`first`:return e.value[0];case`last`:return e.value[e.value.length-1];case`length`:return new os(e.value.length);case`reverse`:return new ps(e.value.slice().reverse());case`sort`:return new ps(e.value.slice().sort((e,t)=>xs(e,t,!1)));case`join`:return new V(e.value.map(e=>e.value).join(``));case`string`:return new V(us(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 ps(n)}default:throw Error(`Unknown ArrayValue filter: ${r.value}`)}else if(e instanceof V)switch(r.value){case`length`:case`upper`:case`lower`:case`title`:case`capitalize`:{let t=e.builtins.get(r.value);if(t instanceof hs)return t.value([],n);if(t instanceof os)return t;throw Error(`Unknown StringValue filter: ${r.value}`)}case`trim`:return new V(e.value.trim());case`indent`:return new V(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 os(isNaN(t)?0:t)}case`float`:{let t=parseFloat(e.value);return new ss(isNaN(t)?0:t)}default:throw Error(`Unknown StringValue filter: ${r.value}`)}else if(e instanceof os||e instanceof ss)switch(r.value){case`abs`:return e instanceof os?new os(Math.abs(e.value)):new ss(Math.abs(e.value));case`int`:return new os(Math.floor(e.value));case`float`:return new ss(e.value);case`string`:return new V(e.toString());default:throw Error(`Unknown NumericValue filter: ${r.value}`)}else if(e instanceof ds)switch(r.value){case`items`:return new ps(Array.from(e.value.entries()).map(([e,t])=>new ps([new V(e),t])));case`length`:return new os(e.value.size);default:{let t=e.builtins.get(r.value);if(t)return t instanceof hs?t.value([],n):t;throw Error(`Unknown ObjectValue filter: ${r.value}`)}}else if(e instanceof H)switch(r.value){case`bool`:return new H(e.value);case`int`:return new os(e.value?1:0);case`float`:return new ss(e.value?1:0);case`string`:return new V(e.value?`true`:`false`);default:throw Error(`Unknown BooleanValue filter: ${r.value}`)}throw Error(`Cannot apply filter "${r.value}" to type: ${e.type}`)}else if(t.type===`CallExpression`){let r=t;if(r.callee.type!==`Identifier`)throw Error(`Unknown filter: ${r.callee.type}`);let i=r.callee.value;if(i===`tojson`){let[,t]=this.evaluateArguments(r.args,n),i=t.get(`indent`)??new gs;if(!(i instanceof os||i instanceof gs))throw Error(`If set, indent must be a number`);let a=t.get(`ensure_ascii`)??new H(!1);if(!(a instanceof H))throw Error(`If set, ensure_ascii must be a boolean`);let o=t.get(`sort_keys`)??new H(!1);if(!(o instanceof H))throw Error(`If set, sort_keys must be a boolean`);let s=t.get(`separators`)??new gs,c=null;if(s instanceof ps||s instanceof ms){if(s.value.length!==2)throw Error(`separators must be a tuple of two strings`);let[e,t]=s.value;if(!(e instanceof V)||!(t instanceof V))throw Error(`separators must be a tuple of two strings`);c=[e.value,t.value]}else if(!(s instanceof gs))throw Error(`If set, separators must be a tuple of two strings`);return new V(us(e,{indent:i.value,ensureAscii:a.value,sortKeys:o.value,separators:c}))}else if(i===`join`){let t;if(e instanceof V)t=Array.from(e.value);else if(e instanceof ps)t=e.value.map(e=>e.value);else throw Error(`Cannot apply filter "${i}" to type: ${e.type}`);let[a,o]=this.evaluateArguments(r.args,n),s=a.at(0)??o.get(`separator`)??new V(``);if(!(s instanceof V))throw Error(`separator must be a string`);return new V(t.join(s.value))}else if(i===`int`||i===`float`){let[t,a]=this.evaluateArguments(r.args,n),o=t.at(0)??a.get(`default`)??(i===`int`?new os(0):new ss(0));if(e instanceof V){let t=i===`int`?parseInt(e.value,10):parseFloat(e.value);return isNaN(t)?o:i===`int`?new os(t):new ss(t)}else if(e instanceof os||e instanceof ss)return e;else if(e instanceof H)return i===`int`?new os(e.value?1:0):new ss(e.value?1:0);else throw Error(`Cannot apply filter "${i}" to type: ${e.type}`)}else if(i===`default`){let[t,i]=this.evaluateArguments(r.args,n),a=t[0]??new V(``),o=t[1]??i.get(`boolean`)??new H(!1);if(!(o instanceof H))throw Error("`default` filter flag must be a boolean");return e instanceof _s||o.value&&!e.__bool__().value?a:e}if(e instanceof ps){switch(i){case`sort`:{let[t,i]=this.evaluateArguments(r.args,n),a=t.at(0)??i.get(`reverse`)??new H(!1);if(!(a instanceof H))throw Error(`reverse must be a boolean`);let o=t.at(1)??i.get(`case_sensitive`)??new H(!1);if(!(o instanceof H))throw Error(`case_sensitive must be a boolean`);let s=t.at(2)??i.get(`attribute`)??new gs;if(!(s instanceof V||s instanceof os||s instanceof gs))throw Error(`attribute must be a string, integer, or null`);let c=e=>s instanceof gs?e:bs(e,s instanceof os?String(s.value):s.value);return new ps(e.value.slice().sort((e,t)=>{let n=xs(c(e),c(t),o.value);return a.value?-n:n}))}case`selectattr`:case`rejectattr`:{let t=i===`selectattr`;if(e.value.some(e=>!(e instanceof ds)))throw Error(`\`${i}\` can only be applied to array of objects`);if(r.args.some(e=>e.type!==`StringLiteral`))throw Error(`arguments of \`${i}\` must be strings`);let[a,o,s]=r.args.map(e=>this.evaluate(e,n)),c;if(o){let e=n.tests.get(o.value);if(!e)throw Error(`Unknown test: ${o.value}`);c=e}else c=(...e)=>e[0].__bool__().value;return new ps(e.value.filter(e=>{let n=e.value.get(a.value),r=n?c(n,s):!1;return t?r:!r}))}case`map`:{let[,t]=this.evaluateArguments(r.args,n);if(t.has(`attribute`)){let n=t.get(`attribute`);if(!(n instanceof V))throw Error(`attribute must be a string`);let r=t.get(`default`);return new ps(e.value.map(e=>{if(!(e instanceof ds))throw Error(`items in map must be an object`);let t=bs(e,n.value);return t instanceof _s?r??new _s:t}))}else throw Error("`map` expressions without `attribute` set are not currently supported.")}}throw Error(`Unknown ArrayValue filter: ${i}`)}else if(e instanceof V){switch(i){case`indent`:{let[t,i]=this.evaluateArguments(r.args,n),a=t.at(0)??i.get(`width`)??new os(4);if(!(a instanceof os))throw Error(`width must be a number`);let o=t.at(1)??i.get(`first`)??new H(!1),s=t.at(2)??i.get(`blank`)??new H(!1),c=e.value.split(` +`),l=` `.repeat(a.value);return new V(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 hs))throw Error(`replace filter not available`);let[i,a]=this.evaluateArguments(r.args,n);return t.value([...i,new fs(a)],n)}}throw Error(`Unknown StringValue filter: ${i}`)}else if(e instanceof ds){let t=e.builtins.get(i);if(t&&t instanceof hs){let[e,i]=this.evaluateArguments(r.args,n);return i.size>0&&e.push(new fs(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 n=this.evaluate(e.operand,t),r=t.tests.get(e.test.value);if(!r)throw Error(`Unknown test: ${e.test.value}`);let i=r(n);return new H(e.negate?!i:i)}evaluateSelectExpression(e,t){return this.evaluate(e.test,t).__bool__().value?this.evaluate(e.lhs,t):new _s}evaluateUnaryExpression(e,t){let n=this.evaluate(e.argument,t);switch(e.operator.value){case`not`:return new H(!n.value);default:throw SyntaxError(`Unknown operator: ${e.operator.value}`)}}evaluateTernaryExpression(e,t){return this.evaluate(e.condition,t).__bool__().value?this.evaluate(e.trueExpr,t):this.evaluate(e.falseExpr,t)}evalProgram(e,t){return this.evaluateBlock(e.body,t)}evaluateBlock(e,t){let n=``;for(let r of e){let e=this.evaluate(r,t);e.type!==`NullValue`&&e.type!==`UndefinedValue`&&(n+=e.toString())}return new V(n)}evaluateIdentifier(e,t){return t.lookupVariable(e.value)}evaluateCallExpression(e,t){let[n,r]=this.evaluateArguments(e.args,t);r.size>0&&n.push(new fs(r));let 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 ps||e instanceof V))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 os||r instanceof _s))throw Error(`Slice start must be numeric or undefined`);if(!(i instanceof os||i instanceof _s))throw Error(`Slice stop must be numeric or undefined`);if(!(a instanceof os||a instanceof _s))throw Error(`Slice step must be numeric or undefined`);return e instanceof ps?new ps(Zo(e.value,r.value,i.value,a.value)):new V(Zo(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 V(e.property.value);let i;if(n instanceof ds){if(!(r instanceof V))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 ps||n instanceof V)if(r instanceof os)i=n.value.at(r.value),n instanceof V&&(i=new V(n.value.at(r.value)));else if(r instanceof V)i=n.builtins.get(r.value);else throw Error(`Cannot access property with non-string/non-number: got ${r.type}`);else{if(!(r instanceof V))throw Error(`Cannot access property with non-string: got ${r.type}`);i=n.builtins.get(r.value)}return i instanceof as?i:new _s}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 ps))throw Error(`Cannot unpack non-iterable type in set: ${n.type}`);let i=n.value;if(i.length!==r.value.length)throw Error(`Too ${r.value.length>i.length?`few`:`many`} items to unpack in set`);for(let e=0;et.setVariable(e.loopvar.value,c);else if(e.loopvar.type===`TupleLiteral`){let t=e.loopvar;if(c.type!==`ArrayValue`)throw Error(`Cannot unpack non-iterable type: ${c.type}`);let n=c;if(t.value.length!==n.value.length)throw Error(`Too ${t.value.length>n.value.length?`few`:`many`} items to unpack`);l=e=>{for(let r=0;r0?a[t-1]:new _s],[`nextitem`,t{let r=new vs(n);t=t.slice();let 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instanceof ServiceWorkerGlobalScope)&&cl.versions?.web&&!cl.wasm.wasmPaths){let e=`https://cdn.jsdelivr.net/npm/onnxruntime-web@${cl.versions.web}/dist/`;cl.wasm.wasmPaths=di.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`}}cl.wasm.proxy=!1}cl.webgpu&&(cl.webgpu.powerPreference=`high-performance`),e(bi.logLevel??vi.WARNING),bi.backends.onnx={...cl,setLogLevel:e}}var ul=async(e,t,n)=>{let r=await il(new Uint8Array(e),t);return(async e=>{let t=ll(),i=await ol(r,Object.fromEntries(Object.entries(e).map(([e,n])=>[e,(t?n.clone():n).ort_tensor])));return Array.isArray(n)?n.map(e=>new U(i[e])):new U(i[n])})},dl=class{static session_options={};static get nearest_interpolate_4d(){return this._nearest_interpolate_4d||=ul([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||=ul([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||=ul([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||=ul([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||=ul([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||=ul([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 this._top_k||=ul([8,10,18,0,58,73,10,18,10,1,120,10,1,107,18,1,118,18,1,105,34,4,84,111,112,75,18,1,116,90,9,10,1,120,18,4,10,2,8,1,90,15,10,1,107,18,10,10,8,8,7,18,4,10,2,8,1,98,9,10,1,118,18,4,10,2,8,1,98,9,10,1,105,18,4,10,2,8,7,66,2,16,21],this.session_options,[`v`,`i`]),this._top_k}static get slice(){return this._slice||=ul([8,7,18,0,58,96,10,25,10,1,120,10,1,115,10,1,101,10,1,97,10,1,116,18,1,121,34,5,83,108,105,99,101,18,1,114,90,9,10,1,120,18,4,10,2,8,1,90,9,10,1,115,18,4,10,2,8,7,90,9,10,1,101,18,4,10,2,8,7,90,9,10,1,97,18,4,10,2,8,7,90,9,10,1,116,18,4,10,2,8,7,98,9,10,1,121,18,4,10,2,8,1,66,2,16,13],this.session_options,`y`),this._slice}},fl=Object.freeze({auto:`auto`,gpu:`gpu`,cpu:`cpu`,wasm:`wasm`,webgpu:`webgpu`,cuda:`cuda`,dml:`dml`,coreml:`coreml`,webnn:`webnn`,"webnn-npu":`webnn-npu`,"webnn-gpu":`webnn-gpu`,"webnn-cpu":`webnn-cpu`}),pl=di.IS_NODE_ENV?`cpu`:`wasm`;function ml(e,t,{warn:n}={}){return e?typeof e==`string`?e:e.hasOwnProperty(t)?e[t]:(n&&n(`device not 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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 U(r,o,[e.dims[0],e.dims[1]/8])}async function ql(e){if(!e)throw Error(`modelId is required for get_tokenizer_files`);return(await mc(e,`tokenizer_config.json`,{})).exists?[`tokenizer.json`,`tokenizer_config.json`]:[]}async function Jl(e,t){let n=await ql(e);return await Promise.all(n.map(n=>Tc(e,n,!0,t)))}function Yl(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 Xl=[`bos_token`,`eos_token`,`unk_token`,`sep_token`,`pad_token`,`cls_token`,`mask_token`];function Zl(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`?Oi(e[i],s):Oi(s,e[i])}}function Ql(e,t){for(let n of Object.keys(e))e[n].length=t}function $l(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: ${t}`)}else return t}return null}function eu(e){let t=[];for(let n of e.get_added_tokens_decoder().values())n.special&&t.push(n);return t}var K=class extends Si{return_token_type_ids=!1;padding_side=`right`;constructor(e,t){if(super(),this._tokenizerJSON=e,this._tokenizerConfig=t,this._tokenizer=new lo(e,t),this.config=t,this.padding_side=t.padding_side??this.padding_side,this.mask_token=$l(t,`mask_token`),this.mask_token_id=this._tokenizer.token_to_id(this.mask_token),this.pad_token=$l(t,`pad_token`,`eos_token`),this.pad_token_id=this._tokenizer.token_to_id(this.pad_token),this.sep_token=$l(t,`sep_token`),this.sep_token_id=this._tokenizer.token_to_id(this.sep_token),this.unk_token=$l(t,`unk_token`),this.unk_token_id=this._tokenizer.token_to_id(this.unk_token),this.bos_token=$l(t,`bos_token`),this.bos_token_id=this._tokenizer.token_to_id(this.bos_token),this.eos_token=$l(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=eu(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 Jl(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?(F.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&&(F.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(jc(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&&Ql(l[e],a):r&&Zl(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 U(`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 U&&(e=e.tolist()),e.map(e=>this.decode(e,t))}decode(e,t={}){if(e instanceof U&&(e=Yl(e)),!Array.isArray(e)||e.length===0||!Ti(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 ${typeof r}`);let p=this._compiled_template_cache.get(r);p===void 0&&(p=new zs(r),this._compiled_template_cache.set(r,p));let m=Object.create(null);for(let e of Xl){let t=$l(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 tu(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 nu={};Ur(nu,{AlbertTokenizer:()=>ru,AutoTokenizer:()=>td,BartTokenizer:()=>iu,BertTokenizer:()=>au,BlenderbotSmallTokenizer:()=>ou,BlenderbotTokenizer:()=>su,BloomTokenizer:()=>cu,CLIPTokenizer:()=>uu,CamembertTokenizer:()=>lu,CodeGenTokenizer:()=>fu,CodeLlamaTokenizer:()=>du,CohereAsrTokenizer:()=>mu,CohereTokenizer:()=>pu,ConvBertTokenizer:()=>hu,DebertaTokenizer:()=>_u,DebertaV2Tokenizer:()=>gu,DistilBertTokenizer:()=>vu,ElectraTokenizer:()=>yu,EsmTokenizer:()=>bu,FalconTokenizer:()=>xu,GPT2Tokenizer:()=>wu,GPTNeoXTokenizer:()=>Cu,GemmaTokenizer:()=>Su,HerbertTokenizer:()=>Tu,LlamaTokenizer:()=>Eu,M2M100Tokenizer:()=>Du,MBart50Tokenizer:()=>Au,MBartTokenizer:()=>ku,MPNetTokenizer:()=>Nu,MarianTokenizer:()=>Ou,MgpstrTokenizer:()=>ju,MobileBertTokenizer:()=>Mu,NllbTokenizer:()=>Pu,NougatTokenizer:()=>Fu,PreTrainedTokenizer:()=>K,Qwen2Tokenizer:()=>Iu,RoFormerTokenizer:()=>Ru,RobertaTokenizer:()=>Lu,SiglipTokenizer:()=>zu,SpeechT5Tokenizer:()=>Bu,SqueezeBertTokenizer:()=>Vu,T5Tokenizer:()=>Hu,TokenizersBackend:()=>K,VitsTokenizer:()=>Wu,Wav2Vec2CTCTokenizer:()=>Gu,WhisperTokenizer:()=>Qu,XLMRobertaTokenizer:()=>$u,XLMTokenizer:()=>ed});var ru=class extends K{return_token_type_ids=!0},iu=class extends K{},au=class extends K{return_token_type_ids=!0},ou=class extends K{},su=class extends K{},cu=class extends K{},lu=class extends K{},uu=class extends K{},du=class extends K{},fu=class extends K{},pu=class extends K{},mu=class extends K{},hu=class extends K{return_token_type_ids=!0},gu=class extends K{return_token_type_ids=!0},_u=class extends K{return_token_type_ids=!0},vu=class extends K{},yu=class extends K{return_token_type_ids=!0},bu=class extends K{},xu=class extends K{},Su=class extends K{},Cu=class extends K{},wu=class extends K{},Tu=class extends K{return_token_type_ids=!0},Eu=class extends K{padding_side=`left`},Du=class extends K{constructor(e,t){super(e,t),this.languageRegex=/^__[a-z]{2,3}__$/,this.language_codes=this.all_special_tokens.filter(e=>this.languageRegex.test(e)).map(e=>e.slice(2,-2)),this.lang_to_token=e=>`__${e}__`}_build_translation_inputs(e,t,n){return tu(this,e,t,n)}},Ou=class extends K{constructor(e,t){super(e,t),this.languageRegex=/^(>>\w+<<)\s*/g,this.supported_language_codes=Array.from(this.get_vocab().keys()).filter(e=>this.languageRegex.test(e)),F.warn('WARNING: `MarianTokenizer` is not yet supported by Hugging Face\'s "fast" tokenizers library. Therefore, you may experience slightly inaccurate results.')}_encode_text(e){if(e===null)return null;let[t,...n]=e.trim().split(this.languageRegex);if(n.length===0)return super._encode_text(t);if(n.length===2){let[e,t]=n;return this.supported_language_codes.includes(e)||F.warn(`Unsupported language code "${e}" detected, which may lead to unexpected behavior. Should be one of: ${JSON.stringify(this.supported_language_codes)}`),Oi([e],super._encode_text(t))}}},ku=class extends K{constructor(e,t){super(e,t),this.languageRegex=/^[a-z]{2}_[A-Z]{2}$/,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 tu(this,e,t,n)}},Au=class extends ku{},ju=class extends K{},Mu=class extends K{return_token_type_ids=!0},Nu=class extends K{},Pu=class extends K{constructor(e,t){super(e,t),this.languageRegex=/^[a-z]{3}_[A-Z][a-z]{3}$/,this.language_codes=this.all_special_tokens.filter(e=>this.languageRegex.test(e)),this.lang_to_token=e=>e}_build_translation_inputs(e,t,n){return tu(this,e,t,n)}},Fu=class extends K{},Iu=class extends K{},Lu=class extends K{},Ru=class extends K{return_token_type_ids=!0},zu=class extends K{},Bu=class extends K{},Vu=class extends K{return_token_type_ids=!0},Hu=class extends K{},Uu=class extends Xa{decode_chain(e){let t=``;for(let n=1;n[t,e]),...[[`burmese`,`my`],[`valencian`,`ca`],[`flemish`,`nl`],[`haitian`,`ht`],[`letzeburgesch`,`lb`],[`pushto`,`ps`],[`panjabi`,`pa`],[`moldavian`,`ro`],[`moldovan`,`ro`],[`sinhalese`,`si`],[`castilian`,`es`]]]);function Yu(e){e=e.toLowerCase();let t=Ju.get(e);if(t===void 0){let n=e.match(/^<\|([a-z]{2})\|>$/);if(n&&(e=n[1]),qu.has(e))t=e;else{let t=e.length===2?qu.keys():qu.values();throw Error(`Language "${e}" is not supported. Must be one of: ${JSON.stringify(Array.from(t))}`)}}return t}var Xu=RegExp(`^[\\p{P}\\u0021-\\u002F\\u003A-\\u0040\\u005B-\\u0060\\u007B-\\u007E]+$`,`gu`),Zu=.1,Qu=class extends K{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=Lc((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=Lc(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]-Zu<=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(`<|${e}|>`),i.push([])}else i[i.length-1].push(t);return i=i.map(e=>typeof e==`string`?e:super.decode(e,t)),i.join(``)}splitTokensOnUnicode(e){let t=this.decode(e,{decode_with_timestamps:!0}),n=[],r=[],i=[],a=[],o=[],s=0;for(let c=0;c=this._tokenizer.token_to_id(`<|endoftext|>`),d=s.startsWith(` `),f=s.trim(),p=Xu.test(f);if(u||d||p||i.length===0)i.push(s),a.push(c),o.push(l);else{let e=i.length-1;i[e]+=s,a[e].push(...c),o[e].push(...l)}}return[i,a,o]}mergePunctuations(e,t,n,r,i){let a=structuredClone(e),o=structuredClone(t),s=structuredClone(n),c=a.length-2,l=a.length-1;for(;c>=0;)a[c].startsWith(` `)&&r.includes(a[c].trim())?(a[l]=a[c]+a[l],o[l]=Oi(o[c],o[l]),s[l]=Oi(s[c],s[l]),a[c]=``,o[c]=[],s[c]=[]):l=c,--c;for(c=0,l=1;le),o.filter(e=>e.length>0),s.filter(e=>e.length>0)]}},$u=class extends K{},ed=class extends K{return_token_type_ids=!0;constructor(e,t){super(e,t),F.warn('WARNING: `XLMTokenizer` is not yet supported by Hugging Face\'s "fast" tokenizers library. Therefore, you may experience slightly inaccurate results.')}},td=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 Jl(e,{progress_callback:t,config:n,cache_dir:r,local_files_only:i,revision:a}),c=s.tokenizer_class?.replace(/Fast$/,``)??`PreTrainedTokenizer`,l=nu[c];return l||=(F.warn(`Unknown tokenizer class "${c}", attempting to construct from base class.`),K),new l(o,s)}},nd=`https://github.com/huggingface/transformers.js/issues/new/choose`,rd=`preprocessor_config.json`,id=rd,ad=`processor_config.json`,od=`chat_template.jinja`,sd=class extends Si{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?Tc(e,ad,!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$/,``),r]})).then(Object.fromEntries),this.uses_chat_template_file?wc(e,od,!0,t):null]);return new this(n,r,i)}};Ur({},{ChatterboxProcessor:()=>ef,CohereAsrProcessor:()=>nf,Florence2Processor:()=>Gp,Gemma3Processor:()=>Kp,Gemma3nProcessor:()=>qp,Gemma4Processor:()=>Jp,Glm46VProcessor:()=>Xp,GraniteSpeechProcessor:()=>Zp,GroundingDinoProcessor:()=>$p,Idefics3Processor:()=>rm,JinaCLIPProcessor:()=>am,Lfm2VlProcessor:()=>om,LlavaProcessor:()=>sm,MgpstrProcessor:()=>lm,MoonshineProcessor:()=>um,OwlViTProcessor:()=>dm,PaliGemmaProcessor:()=>mm,Phi3VProcessor:()=>_m,PixtralProcessor:()=>vm,Processor:()=>sd,PyAnnoteProcessor:()=>ym,Qwen2VLProcessor:()=>Yp,Qwen2_5_VLProcessor:()=>bm,Qwen3VLProcessor:()=>xm,Sam2Processor:()=>Cm,Sam2VideoProcessor:()=>wm,SamProcessor:()=>Sm,SmolVLMProcessor:()=>rm,SpeechT5Processor:()=>Tm,UltravoxProcessor:()=>Em,VLChatProcessor:()=>im,VoxtralProcessor:()=>jm,VoxtralRealtimeProcessor:()=>Lm,Wav2Vec2Processor:()=>Rm,Wav2Vec2ProcessorWithLM:()=>zm,WhisperProcessor:()=>Bm});var cd=class extends Si{constructor(e){super(),this.config=e}static async from_pretrained(e,t={}){let n=await Tc(e,rd,!0,t);return new this(n)}};function ld(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 ud={};Ur(ud,{ASTFeatureExtractor:()=>Nd,ChatterboxFeatureExtractor:()=>Fd,ClapFeatureExtractor:()=>Id,CohereAsrFeatureExtractor:()=>zd,DacFeatureExtractor:()=>Bd,EncodecFeatureExtractor:()=>Pd,FeatureExtractor:()=>cd,Gemma3nAudioFeatureExtractor:()=>Vd,Gemma4AudioFeatureExtractor:()=>Hd,GraniteSpeechFeatureExtractor:()=>Ud,MoonshineFeatureExtractor:()=>Wd,ParakeetFeatureExtractor:()=>Rd,PyAnnoteFeatureExtractor:()=>Gd,SeamlessM4TFeatureExtractor:()=>Kd,SnacFeatureExtractor:()=>qd,SpeechT5FeatureExtractor:()=>Jd,VoxtralRealtimeFeatureExtractor:()=>Zd,Wav2Vec2FeatureExtractor:()=>Yd,WeSpeakerFeatureExtractor:()=>Xd,WhisperFeatureExtractor:()=>Qd});var dd={fromWeb:()=>{}};async function fd(e,t){if(di.IS_BROWSER_ENV){if(di.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(di.IS_FS_AVAILABLE){let n=t.stream();await(dd.fromWeb(n),Wr.createWriteStream(e),void 0)}else throw Error(`Unable to save because filesystem is disabled in this environment.`)}async function pd(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 gc(e)).arrayBuffer(),r=new AudioContext({sampleRate:t});t===void 0&&F.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 vd(e,t=`htk`){let n=_d[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 yd={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 bd(e,t=`htk`){let n=yd[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 xd(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 Cd(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: ${r}`);let c=Sd(vd(n,o),vd(r,o),t+2),l=bd(c,o),u;if(s){let t=i/((e-1)*2);u=vd(Float64Array.from({length:e},(e,n)=>n*t),o),l=c}else u=Sd(0,Math.floor(i/2),e);let d=xd(u,l);if(a!==null&&a===`slaney`)for(let n=0;ni)throw Error(`frame_length (${n}) may not be larger than fft_length (${i})`);if(T!==n)throw Error(`Length of the window (${T}) must equal frame_length (${n})`);if(r<=0)throw Error(`hop_length must be greater than zero`);if(a===null&&d!==null)throw Error("You have provided `mel_filters` but `power` is `None`. Mel spectrogram computation is not yet supported for complex-valued spectrogram. Specify `power` to fix this issue.");if(!u)throw Error("`preemphasis_htk_flavor=false` is not currently supported.");if(o){let t=Math.floor(n/2);switch(s){case`reflect`:e=wd(e,t,t);break;case`constant`:{let n=new e.constructor(e.length+2*t);n.set(e,t),e=n;break}case`semicausal`:{let n=new e.constructor(e.length+t);n.set(e,t),e=n;break}default:throw Error(`pad_mode="${s}" not implemented yet.`)}}let E=Math.floor(1+Math.floor((e.length-n)/r));y!==null&&EE?x&&(O=b):O=D=b);let k=new Fc(i),A=new Float64Array(i),te=new Float64Array(k.outputBufferSize),j=new Float32Array(ee*O);for(let i=0;i=1;--e)A[e]-=l*A[e-1];A[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 (${r})`);let s=new Float64Array(r),c=i?Math.floor((r-e)/2):0;return s.set(o,c),s}function Ad(e,t){let n=e.reduce((e,t)=>e+t.length,0),r=new ArrayBuffer(44),i=new DataView(r);return jd(i,0,`RIFF`),i.setUint32(4,36+n*4,!0),jd(i,8,`WAVE`),jd(i,12,`fmt `),i.setUint32(16,16,!0),i.setUint16(20,3,!0),i.setUint16(22,1,!0),i.setUint32(24,t,!0),i.setUint32(28,t*4,!0),i.setUint16(32,4,!0),i.setUint16(34,32,!0),jd(i,36,`data`),i.setUint32(40,n*4,!0),new Blob([r,...e.map(e=>e.buffer)],{type:`audio/wav`})}function jd(e,t,n){for(let r=0;re+t.length,0),t=new Float32Array(e),n=0;for(let e of this.audio)t.set(e,n),n+=e.length;return t}else return this.audio}toBlob(){let e=this.audio;return e instanceof Float32Array&&(e=[e]),Ad(e,this.sampling_rate)}async save(e){return fd(e,this.toBlob())}},Nd=class extends cd{constructor(e){super(e);let t=this.config.sampling_rate;this.mel_filters=Cd(257,this.config.num_mel_bins,20,Math.floor(t/2),t,null,`kaldi`,!0),this.window=kd(400,`hann`,{periodic:!1}),this.mean=this.config.mean,this.std=this.config.std}async _extract_fbank_features(e,t){return Od(e,this.window,400,160,{fft_length:512,power:2,center:!1,preemphasis:.97,mel_filters:this.mel_filters,log_mel:`log`,mel_floor:1.192092955078125e-7,remove_dc_offset:!0,max_num_frames:t,transpose:!0})}async _call(e){ld(e,`ASTFeatureExtractor`);let t=await this._extract_fbank_features(e,this.config.max_length);if(this.config.do_normalize){let e=this.std*2,n=t.data;for(let t=0;t0)if(n===`rand_trunc`){let n=Math.floor(Gs.random()*(a+1));e=e.subarray(n,n+t),i=await this._extract_fbank_features(e,this.mel_filters_slaney,this.config.nb_max_samples)}else throw Error(`Truncation strategy "${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 Od(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){ld(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=W([1,a.dims[0]],!0);return{input_features:a.unsqueeze_(0),input_features_mask:o}}},Hd=class extends Vd{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 Od(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={}){ld(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}},Kd=class extends cd{constructor(e){super(e);let t=this.config.sampling_rate;this.mel_filters=Cd(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),Od(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}={}){ld(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 U(a.type,n,[c,t]),i&&(o=new U(`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){ld(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 U(`float32`,t,n),attention_mask:new U(`int64`,new BigInt64Array(t.length).fill(1n),n)}}},Xd=class extends cd{constructor(e){super(e);let t=this.config.sampling_rate;this.mel_filters=Cd(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),Od(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){ld(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&&F.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)}}},$d=class{static async from_pretrained(e,t={}){let n=await Tc(e,rd,!0,t),r=n.feature_extractor_type,i=ud[r];if(!i)throw Error(`Unknown feature_extractor_type: '${r}'. Please report this at ${nd}.`);return new i(n)}},ef=class extends sd{static tokenizer_class=td;static feature_extractor_class=$d;async _call(e,t=null){let n=this.tokenizer(e),r=t?await this.feature_extractor(t):{};return{...n,...r}}},tf=new Set([`ja`,`zh`]),nf=class extends sd{static tokenizer_class=td;static feature_extractor_class=$d;static uses_processor_config=!0;get_decoder_prompt_ids(e=`en`){let t=[`▁`,`<|startofcontext|>`,`<|startoftranscript|>`,`<|emo:undefined|>`,`<|${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=tf.has(t)?``:` `;return[n[0].trimEnd(),...n.slice(1).map(e=>e.trim())].join(r)}async _call(e){return await this.feature_extractor(e)}},rf={},af,of,sf;if(di.IS_WEB_ENV)af=(e,t)=>{if(!self.OffscreenCanvas)throw Error(`OffscreenCanvas not supported by this environment.`);return new self.OffscreenCanvas(e,t)},sf=self.createImageBitmap,of=self.ImageData;else if(rf)sf=async e=>{let t=(await e.metadata()).channels,{data:n,info:r}=await e.rotate().raw().toBuffer({resolveWithObject:!0}),i=new uf(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 cf={0:`nearest`,1:`lanczos`,2:`bilinear`,3:`bicubic`,4:`box`,5:`hamming`},lf=new Map([[`png`,`image/png`],[`jpg`,`image/jpeg`],[`jpeg`,`image/jpeg`],[`gif`,`image/gif`]]),uf=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: ${typeof t}`)}static fromCanvas(t){if(!di.IS_WEB_ENV)throw Error(`fromCanvas() is only supported in browser environments.`);let n=t.getContext(`2d`).getImageData(0,0,t.width,t.height).data;return new e(n,t.width,t.height,4)}static async fromURL(e){let t=await gc(e);if(t.status!==200)throw Error(`Unable to read image from "${e}" (${t.status} ${t.statusText})`);let n=await t.blob();return this.fromBlob(n)}static async fromBlob(e){if(di.IS_WEB_ENV){let t=await sf(e),n=af(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=rf(await e.arrayBuffer());return await sf(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 sf(e)}}async toBlob(e=`image/png`,t=1){if(!di.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 U(`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(!di.IS_WEB_ENV)throw Error(`toCanvas() is only supported in browser environments.`);let e=this.clone().rgba(),t=af(e.width,e.height),n=new of(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(di.IS_WEB_ENV){if(di.IS_WEBWORKER_ENV)throw Error(`Unable to save an image from a Web Worker.`);let t=e.split(`.`).pop().toLowerCase(),n=lf.get(t)??`image/png`;return fd(e,await this.toBlob(n))}else if(di.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(di.IS_WEB_ENV)throw Error(`toSharp() is only supported in server-side environments.`);return rf(this.data,{raw:{width:this.width,height:this.height,channels:this.channels}})}};uf.read.bind(uf);function df(e,t,n=0,r=null){let i=e/t,a=Rc(i)*t;return r!==null&&a>r&&(a=Math.floor(i)*t),at&&i.push(e)}else{let e=jc(n.data)[1];if(e===c-1||(a=Oc(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 hf(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 gf(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 _f(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 vf(e,t,n,r,i,a=null,o=null){let[s,c]=o??e[0].dims,l=new U(`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=Ac(n.data)[0],i=jc(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:Fl(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 Tc(e,id,!0,t);return new this(n)}},Sf={};Ur(Sf,{BeitFeatureExtractor:()=>Cf,BitImageProcessor:()=>wf,CHMv2ImageProcessor:()=>Ef,CLIPFeatureExtractor:()=>Of,CLIPImageProcessor:()=>Df,ChineseCLIPFeatureExtractor:()=>Tf,ConvNextFeatureExtractor:()=>Af,ConvNextImageProcessor:()=>kf,DINOv3ViTImageProcessor:()=>Ff,DPTFeatureExtractor:()=>zf,DPTImageProcessor:()=>Rf,DeiTFeatureExtractor:()=>Mf,DeiTImageProcessor:()=>jf,DetrFeatureExtractor:()=>Pf,DetrImageProcessor:()=>Nf,DonutFeatureExtractor:()=>Lf,DonutImageProcessor:()=>If,EfficientNetImageProcessor:()=>Bf,GLPNFeatureExtractor:()=>qf,Gemma3ImageProcessor:()=>Vf,Gemma4ImageProcessor:()=>Wf,Glm46VImageProcessor:()=>Kf,GroundingDinoImageProcessor:()=>Jf,Idefics3ImageProcessor:()=>Yf,ImageFeatureExtractor:()=>q,ImageProcessor:()=>q,JinaCLIPImageProcessor:()=>Zf,Lfm2VlImageProcessor:()=>rp,LlavaOnevisionImageProcessor:()=>ip,Mask2FormerImageProcessor:()=>sp,MaskFormerFeatureExtractor:()=>op,MaskFormerImageProcessor:()=>ap,MobileNetV1FeatureExtractor:()=>lp,MobileNetV1ImageProcessor:()=>cp,MobileNetV2FeatureExtractor:()=>dp,MobileNetV2ImageProcessor:()=>up,MobileNetV3FeatureExtractor:()=>pp,MobileNetV3ImageProcessor:()=>fp,MobileNetV4FeatureExtractor:()=>hp,MobileNetV4ImageProcessor:()=>mp,MobileViTFeatureExtractor:()=>_p,MobileViTImageProcessor:()=>gp,NougatImageProcessor:()=>vp,OwlViTFeatureExtractor:()=>bp,OwlViTImageProcessor:()=>yp,Owlv2ImageProcessor:()=>xp,Phi3VImageProcessor:()=>Dp,PixtralImageProcessor:()=>Op,PvtImageProcessor:()=>kp,Qwen2VLImageProcessor:()=>Gf,RTDetrImageProcessor:()=>Ap,Sam2ImageProcessor:()=>jp,Sam3ImageProcessor:()=>jp,SamImageProcessor:()=>jp,SapiensFeatureExtractor:()=>Np,SapiensImageProcessor:()=>Mp,SegformerFeatureExtractor:()=>Fp,SegformerImageProcessor:()=>Pp,SiglipImageProcessor:()=>Ip,SmolVLMImageProcessor:()=>Yf,Swin2SRImageProcessor:()=>Lp,VLMImageProcessor:()=>Xf,ViTFeatureExtractor:()=>zp,ViTImageProcessor:()=>Rp,VitMatteImageProcessor:()=>Bp,VitPoseImageProcessor:()=>Vp,YolosFeatureExtractor:()=>Up,YolosImageProcessor:()=>Hp});var Cf=class extends q{},wf=class extends q{},Tf=class extends q{},Ef=class extends q{},Df=class extends q{},Of=class extends Df{},kf=class extends q{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}},Af=class extends kf{},jf=class extends q{},Mf=class extends jf{},Nf=class extends q{async _call(e){let t=await super._call(e),n=W([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 bf(...e)}post_process_instance_segmentation(...e){return xf(...e)}},Pf=class extends Nf{},Ff=class extends q{},If=class extends q{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})}},Lf=class extends If{},Rf=class extends q{},zf=class extends Rf{},Bf=class extends q{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))}},Vf=class extends q{};function Hf(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 Uf(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 U(`int64`,[l,d,f],[1,3]),original_sizes:r,reshaped_input_sizes:i}}},Kf=class extends Gf{get_resize_output_image_size(e,t){let n=this.patch_size*this.merge_size,r=this.config.temporal_patch_size??2;return yf(e.height,e.width,n,this.min_pixels,this.max_pixels,r)}},qf=class extends q{},Jf=class extends q{async _call(e){let t=await super._call(e),n=t.pixel_values.dims,r=G([n[0],n[2],n[3]]);return{...t,pixel_mask:r}}},Yf=class extends q{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 Tl(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,Pl(s,0)})),a.push(e),o.push(t)}else{let e=[r,r];l=await Promise.all(n.map(t=>Tl(t.pixel_values,{size:e}))),a.push(Array(n.length).fill(0)),o.push(Array(n.length).fill(0))}i.push(Pl(l,0))}let l=i.length,[u,d,f,p]=i[0].dims,m,h;if(l===1)m=i[0].unsqueeze_(0),h=W([l,u,f,p],!0);else{let e=Math.max(...i.map(e=>e.dims.at(0)));h=W([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})}},Zf=class extends q{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 Qf(e,t){return Math.round(e/t)*t}function $f(e,t,n,r,i){let a=1/0,o=[1,1],s=n*r;for(let n of t){let t=Math.abs(e-n[0]/n[1]);t.5*i*i*n[0]*n[1]&&(o=n)}return o}function ep(e,t){let n=[],r=new Set;for(let i=e;i<=t;++i)for(let a=1;a<=i;++a)for(let o=1;o<=i;++o){let i=a*o;if(i>=e&&i<=t){let e=a<<16|o;r.has(e)||(r.add(e),n.push([a,o]))}}return n.sort((e,t)=>e[0]*e[1]-t[0]*t[1])}function tp(e,t){let[n,r,i,a]=e.dims,o=Math.floor(i/t),s=Math.floor(a/t),c=t*t*r,l=e.data,u=new Float32Array(n*o*s*c),d=i*a;for(let e=0;ethis.max_image_tokens*(this.encoder_patch_size*this.downsample_factor)**2*this.max_pixels_tolerance}_get_grid_layout(e,t){let n=ep(this.min_tiles,this.max_tiles),[r,i]=$f(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]=yf(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 Tl(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||Ep(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 Tl(e,{size:[Sp,Sp],mode:`bicubic`});if(t>0){let a=[],s=Ep(t),c=Tp(r/s),l=Tp(n/s);for(let t=0;te.map(e=>Sp*wp(e/Sp)));return{pixel_values:s,original_sizes:i,reshaped_input_sizes:a,image_sizes:new U(`int64`,c.flat(),[n,2]),num_img_tokens:c.map(([e,t])=>this.calc_num_image_tokens_from_image_size(t,e))}}},Op=class extends q{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]}},kp=class extends q{},Ap=class extends q{post_process_object_detection(...e){return mf(...e)}},jp=class extends q{reshape_input_points(e,t,n,r=!1){e=structuredClone(e);let i=Di(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 U(`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 U(`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}={}){}},Mp=class extends q{post_process_semantic_segmentation(...e){return hf(...e)}},Np=class extends Mp{},Pp=class extends q{post_process_semantic_segmentation(...e){return hf(...e)}},Fp=class extends Pp{},Ip=class extends q{},Lp=class extends q{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})}},Rp=class extends q{},zp=class extends Rp{},Bp=class extends q{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:Fl(n.map((e,t)=>Pl([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)}}},Vp=class extends q{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 "${r}") not yet implemented.`)}return{[t]:i}}async _call(e,t=null,n={}){if(!e&&!t)throw Error(`Either text or images must be provided`);let r=await this.image_processor(e,n),i=t?this.tokenizer(this.construct_prompts(t),n):{};return{...r,...i}}},Kp=class extends sd{static tokenizer_class=td;static image_processor_class=Wp;static uses_processor_config=!0;static uses_chat_template_file=!0;constructor(e,t,n){super(e,t,n),this.image_seq_length=this.config.image_seq_length;let{boi_token:r,image_token:i,eoi_token:a}=this.tokenizer.config;this.boi_token=r,this.image_token=i,this.eoi_token=a,this.full_image_sequence=` + +${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}}},qp=class extends sd{static image_processor_class=Wp;static feature_extractor_class=$d;static tokenizer_class=td;static uses_processor_config=!0;static uses_chat_template_file=!0;constructor(e,t,n){super(e,t,n),this.audio_seq_length=this.config.audio_seq_length,this.image_seq_length=this.config.image_seq_length;let{audio_token_id:r,boa_token:i,audio_token:a,eoa_token:o,image_token_id:s,boi_token:c,image_token:l,eoi_token:u}=this.tokenizer.config;this.audio_token_id=r,this.boa_token=i,this.audio_token=a,this.full_audio_sequence=` + +${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)}${u} + +`}async _call(e,t=null,n=null,r={}){typeof e==`string`&&(e=[e]);let i;n&&(i=await this.feature_extractor(n,r),e=e.map(e=>e.replaceAll(this.audio_token,this.full_audio_sequence)));let a;return t&&(a=await this.image_processor(t,r),e=e.map(e=>e.replaceAll(this.image_token,this.full_image_sequence))),{...this.tokenizer(e,r),...a,...i}}},Jp=class extends sd{static uses_processor_config=!0;static uses_chat_template_file=!0;constructor(e,t,n){super(e,t,n),this.audio_ms_per_token=this.config.audio_ms_per_token??40,this.audio_seq_length=this.config.audio_seq_length??750,this.image_seq_length=this.config.image_seq_length??280;let{audio_token:r,boa_token:i,eoa_token:a,image_token:o,boi_token:s,eoi_token:c}=this.tokenizer.config;this.audio_token=r,this.boa_token=i,this.eoa_token=a,this.image_token=o,this.boi_token=s,this.eoi_token=c}static async from_pretrained(e,t={}){let[n,r,i]=await Promise.all([Tc(e,ad,!0,t),td.from_pretrained(e,t),wc(e,od,!1,t)]),a={tokenizer:r};return n.image_processor&&(a.image_processor=new Wf(n.image_processor)),n.feature_extractor&&(a.feature_extractor=new Hd(n.feature_extractor)),new this(n,a,i)}_compute_audio_num_tokens(e,t){let n=Math.round(t*20/1e3),r=Math.round(t*10/1e3),i=Math.floor(n/2),a=Math.floor((e+i-n-1)/r)+1;if(a<=0)return 0;for(let e=0;e<2;++e)a=Math.floor((a-1)/2)+1;return Math.min(a,this.audio_seq_length)}async _call(e,t=null,n=null,r={}){typeof e==`string`&&(e=[e]);let i;if(t){i=await this.image_processor(t,r);let n=i.num_soft_tokens_per_image,a=0;e=e.map(e=>e.replaceAll(this.image_token,()=>` + +${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))}${this.eoa_token} + +`))}return{...this.tokenizer(e,r),...i,...a}}},Yp=class extends sd{static image_processor_class=Wp;static tokenizer_class=td;static image_token=`<|image_pad|>`;async _call(e,t=null,...n){Array.isArray(e)||(e=[e]);let r,i;if(t&&(r=await this.image_processor(t),i=r.image_grid_thw),i){let t=this.image_processor.config.merge_size**2,n=0,r=this.constructor.image_token,a=i.tolist();e=e.map(e=>{for(;e.includes(r);){let i=Number(a[n++].reduce((e,t)=>e*t,1n));e=e.replace(r,`<|placeholder|>`.repeat(Math.floor(i/t)))}return e.replaceAll(`<|placeholder|>`,r)})}return{...this.tokenizer(e),...r}}},Xp=class extends Yp{static image_token=`<|image|>`},Zp=class extends sd{static tokenizer_class=td;static feature_extractor_class=$d;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 U(`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 Qp(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 $p=class extends sd{static tokenizer_class=td;static image_processor_class=Wp;async _call(e,t,n={}){let r=e?await this.image_processor(e,n):{};return{...t?this.tokenizer(t,n):{},...r}}post_process_grounded_object_detection(e,t,{box_threshold:n=.25,text_threshold:r=.25,target_sizes:i=null}={}){let{logits:a,pred_boxes:o}=e,s=a.dims[0];if(i!==null&&i.length!==s)throw Error(`Make sure that you pass in as many target sizes as the batch dimension of the logits`);let c=a.dims.at(1),l=a.sigmoid(),u=l.max(-1).tolist(),d=o.tolist().map(e=>e.map(e=>pf(e))),f=[];for(let e=0;ee.map((e,t)=>e*a[(t+1)%2])));let o=u[e],s=[],p=[],m=[];for(let i=0;i`+i.repeat(e);o+=` +`}return o+=` +${r}${a}`+i.repeat(e)+`${r}`,o}function tm(e,t,n,r){return`${t}${r}`+n.repeat(e)+`${t}`}function nm(e,t,n,r,i,a){return e===0&&t===0?tm(n,r,i,a):em(n,e,t,r,i,a)}var rm=class extends sd{static image_processor_class=Wp;static tokenizer_class=td;static uses_processor_config=!0;fake_image_token=``;image_token=``;global_img_token=``;async _call(e,t=null,n={}){n.return_row_col_info??=!0;let r;t&&(r=await this.image_processor(t,n)),Array.isArray(e)||(e=[e]);let i=r.rows??[Array(e.length).fill(0)],a=r.cols??[Array(e.length).fill(0)],o=this.config.image_seq_len,s=[],c=[];for(let t=0;tnm(e,l[t],o,this.fake_image_token,this.image_token,this.global_img_token)),d=n.split(this.image_token);if(d.length===0)throw Error(`The image token should be present in the text.`);let f=d[0];for(let e=0;ee.images).flatMap(e=>e.images).map(e=>uf.read(e)));let r=this.tokenizer,i=r.apply_chat_template(e,{tokenize:!1,add_generation_prompt:!0,chat_template:n}),a=e=>r.encode(e,{add_special_tokens:!1}),o=i.split(this.image_tag),s=o.length-1;if(t.length!==s)throw Error(`Number of images provided (${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}},am=class extends sd{static tokenizer_class=td;static image_processor_class=Wp;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}}},om=class extends sd{static tokenizer_class=td;static image_processor_class=Wp;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):{}}}},sm=class extends sd{static tokenizer_class=td;static image_processor_class=Wp;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 pm(e,t,n,r,i){return`${r.repeat(n*i)}${t}${e} +`}var mm=class extends sd{static tokenizer_class=td;static image_processor_class=Wp;static uses_processor_config=!1;async _call(e,t=null,n={}){t||=(F.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(fm))?a=t.map(e=>{let t=e.replaceAll(fm,fm.repeat(i)),n=t.lastIndexOf(fm),a=n===-1?0:n+fm.length;return t.slice(0,a)+r+t.slice(a)+` +`}):(F.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=>pm(t,r,i,fm,e.length)));let o=this.tokenizer(a,n);return{...await this.image_processor(e,n),...o}}},hm=`<|image|>`,gm=/<\|image_\d+\|>/g,_m=class extends sd{static image_processor_class=Wp;static tokenizer_class=td;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(gm).join(hm.repeat(s[t])));a=this.tokenizer(c,{padding:n,truncation:r});let l=this.tokenizer._tokenizer.token_to_id(hm);a.input_ids.map_(e=>e==l?-e:e)}else a=this.tokenizer(e);return{...a,...o}}},vm=class extends sd{static tokenizer_class=td;static image_processor_class=Wp;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;eAm(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?Pl(u,0):u[0];let d=i[0];for(let e=0;e0){if(l>Xs)throw Error(`The number of external data chunks (${l}) exceeds the maximum allowed value (${Xs}).`);let t=Jm(o,l);for(let n of t){let t=`${r.subfolder??``}/${n}`;c.push(new Promise(async(i,a)=>{let o=await Cc(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 Cc(e,t.data,!0,r);return{...t,data:n}}return t}));return Promise.all(c)}async function Zm(e,t,n,r=!1,i=void 0){let a=n.config?.[`transformers.js_config`]??{},o=ml(n.device??a.device,t,{warn:e=>F.info(e)}),s=el(o),c=a.device_config??{};c.hasOwnProperty(o)&&(a={...a,...c[o]});let l=bl(n.dtype??a.dtype,t,o,{configDtype:a.dtype,warn:e=>F.info(e)});if(!yl.hasOwnProperty(l))throw Error(`Invalid dtype: ${l}. Should be one of: ${Object.keys(gl).join(`, `)}`);if(o===`webgpu`&&!di.IS_NODE_ENV&&l===gl.fp16&&!await hl())throw Error(`The device (${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: ${d}. Should be one of: float32, float16`);let f=yl[l],p={...n.session_options};p.executionProviders??=s;let m=a.free_dimension_overrides;m?p.freeDimensionOverrides??=m:o.startsWith(`webnn`)&&!p.freeDimensionOverrides&&F.warn(`WebNN does not currently support dynamic shapes and requires 'free_dimension_overrides' to be set in config.json, preferably as a field within config["transformers.js_config"]["device_config"]["${o}"]. When 'free_dimension_overrides' is not set, you may experience significant performance degradation.`);let h=Ym(e,t,n,f),g=await Xm(e,t,f,n,n.use_external_data_format??a.use_external_data_format,p);if(g.length>0&&(!di.IS_NODE_ENV||g.some(e=>typeof e!=`string`))&&(p.externalData=g),r&&o===`webgpu`&&u!==!1){let e=Um(n.config,{prefix:`present`,session_name:i});if(Object.keys(e).length>0&&!ll()){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 Qm(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 Zm(e,t[i],n,a,i);return[i,await il(o,s,c)]})))}function $m(e){for(let t in e)sl(e[t])?e[t]=new U(e[t]):typeof e[t]==`object`&&$m(e[t]);return e}async function eh(e,t){let n=th(e,t);try{return $m(await ol(e,Object.fromEntries(Object.entries(n).map(([e,t])=>{let n=t.ort_tensor;return di.IS_NODE_ENV&&typeof Float16Array<`u`&&n.cpuData instanceof Float16Array&&(n.cpuData=new Uint16Array(n.cpuData.buffer)),[e,n]}))))}catch(e){let t=Object.fromEntries(Object.entries(n).map(([e,t])=>{let n={type:t.type,dims:t.dims,location:t.location};return n.location!==`gpu-buffer`&&(n.data=t.data),[e,n]}));throw F.error(`An error occurred during model execution: "${e}".`),F.error(`Inputs given to model:`,t),e}}function th(e,t){let n=Object.create(null),r=[];for(let i of e.inputNames){let e=t[i];if(!(e instanceof U)){r.push(i);continue}n[i]=ll()?e.clone():e}if(r.length>0)throw Error(`An error occurred during model execution: "Missing the following inputs: ${r.join(`, `)}.`);let i=Object.keys(t).length,a=e.inputNames.length;if(i>a){let n=Object.keys(t).filter(t=>!e.inputNames.includes(t));F.warn(`WARNING: Too many inputs were provided (${i} > ${a}). 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t=jc(e.data)[1];return[[BigInt(t),0]]}},Ah=class extends Oh{async sample(e){let t=e.dims.at(-1);this.generation_config.top_k>0&&(t=Math.min(this.generation_config.top_k,t));let[n,r]=await Dl(e,t),i=Oc(n.data);return Array.from({length:this.generation_config.num_beams},()=>{let e=this.randomSelect(i);return[r.data[e],Math.log(i[e])]})}},jh=class extends Oh{async sample(e){let t=e.dims.at(-1);this.generation_config.top_k>0&&(t=Math.min(this.generation_config.top_k,t));let[n,r]=await Dl(e,t),i=Oc(n.data);return Array.from({length:this.generation_config.num_beams},(e,t)=>[r.data[t],Math.log(i[t])])}},Mh=class{constructor(e){if(e)for(let t in e){if(t in this)throw TypeError(`Key "${t}" conflicts with an existing property on DynamicCache`);let n=e[t];if(!(n instanceof U))throw TypeError(`Expected a Tensor for key "${t}", got ${typeof n}`);this[t]=n}}get_seq_length(){let e=this;for(let t in e)if(t.startsWith(`past_key_values.`))return e[t].dims.at(-2);throw Error(`Unable to determine sequence 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Promise.all(e)}},Y={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},Nh={[Y.DecoderOnly]:{sessions:(e,t)=>({model:t.model_file_name??`model`}),cache_sessions:{model:!0},optional_configs:{generation_config:`generation_config.json`}},[Y.DecoderOnlyWithoutHead]:{sessions:(e,t)=>({model:t.model_file_name??`model`})},[Y.Seq2Seq]:{sessions:()=>({model:`encoder_model`,decoder_model_merged:`decoder_model_merged`}),cache_sessions:{decoder_model_merged:!0},optional_configs:{generation_config:`generation_config.json`}},[Y.Vision2Seq]:{sessions:()=>({model:`encoder_model`,decoder_model_merged:`decoder_model_merged`}),cache_sessions:{decoder_model_merged:!0},optional_configs:{generation_config:`generation_config.json`}},[Y.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`}},[Y.EncoderDecoder]:{sessions:()=>({model:`encoder_model`,decoder_model_merged:`decoder_model_merged`}),cache_sessions:{decoder_model_merged:!0}},[Y.MaskGeneration]:{sessions:()=>({model:`vision_encoder`,prompt_encoder_mask_decoder:`prompt_encoder_mask_decoder`})},[Y.ImageTextToText]:{text_only_sessions:{embed_tokens:`embed_tokens`,decoder_model_merged:`decoder_model_merged`},sessions:(e,t,n)=>{let 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r={...Nh[Y.VoxtralRealtime].text_only_sessions};return n||(r.audio_encoder=`audio_encoder`),r},cache_sessions:{decoder_model_merged:!0,audio_encoder:!0},optional_configs:{generation_config:`generation_config.json`}},default:{sessions:(e,t)=>({model:t.model_file_name??`model`})}};function Ph(e,t,n={}){let r=Nh[e]??Nh.default;return{sessions:r.sessions(t,n,n.textOnly??!1),cache_sessions:r.cache_sessions,optional_configs:r.optional_configs}}function Fh(e,{warn:t=!0}={}){let n=e.architectures||[];for(let e of n){let t=Wh.get(e);if(t!==void 0)return t}if(e.model_type){let t=Wh.get(e.model_type);if(t!==void 0)return t;for(let t of Object.values(Rh))if(t.has(e.model_type)){let n=Wh.get(t.get(e.model_type));if(n!==void 0)return n}}if(t){let t=n.length>0?n.join(`, `):`(none)`;F.warn(`[resolve_model_type] Architecture(s) not found in MODEL_TYPE_MAPPING: [${t}] for model type '${e.model_type}'. 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Make sure to either pass {inputs} or {input_name}=...")}else r[i]=e;return{inputs_tensor:r[i],model_inputs:r,model_input_name:i}}async _prepare_encoder_decoder_kwargs_for_generation({inputs_tensor:e,model_inputs:t,model_input_name:n,generation_config:r}){if(this.sessions.model.inputNames.includes(`inputs_embeds`)&&!t.inputs_embeds&&`_prepare_inputs_embeds`in this){let{input_ids:e,pixel_values:n,attention_mask:r,...i}=t,a=await this._prepare_inputs_embeds(t);t={...i,...ji(a,[`inputs_embeds`,`attention_mask`])}}let{last_hidden_state:i}=await Jh(this,t);if(r.guidance_scale!==null&&r.guidance_scale>1)i=Pl([i,Vl(i,0)],0),`attention_mask`in t&&(t.attention_mask=Pl([t.attention_mask,Wl(t.attention_mask)],0));else if(t.decoder_input_ids){let e=Bh(t.decoder_input_ids).dims[0];if(e!==i.dims[0]){if(i.dims[0]!==1)throw Error(`The encoder outputs have a different batch size (${i.dims[0]}) than the decoder inputs (${e}).`);i=Pl(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 U)){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=Bh(o)}return s.decoder_attention_mask=Hl(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=Oh.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,ji(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 U(`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 Mh(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`?xl.float16:xl.float32,a=Um(this.config,{batch_size:n});for(let t in a)e[t]=new U(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 eh(r,ji(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 qh(e,t){let{encoder_outputs:n,input_ids:r,decoder_input_ids:i,decoder_attention_mask:a,...o}=t;return n||=(await Jh(e,ji(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 Xh(e,o,!0)}async function Jh(e,t){let n=e.sessions.model,r=ji(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=Wl(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=G([e[0],e[2],e[3]])}return await eh(n,r)}async function Yh(e,t){let n=await e.encode(t);return await e.decode(n)}async function Xh(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=Vh(!!i)),r.inputNames.includes(`position_ids`)&&a.attention_mask&&!a.position_ids&&(a.position_ids=tg(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 U(`int64`,[0n],[])),e.addPastKeyValues(a,i),await eh(r,ji(a,r.inputNames))}async function Zh(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=ji(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=Pl([G([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 Xh(e,{inputs_embeds:c,past_key_values:l,attention_mask:o,position_ids:s,generation_config:u,logits_processor:d},!0)}async function Qh(e,t){return await Zh(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 $h(e,t){return await Zh(e,{...t,modality_input_names:[`pixel_values`],modality_output_name:`image_features`,encode_function:e.encode_image.bind(e),merge_function:e._merge_input_ids_with_image_features.bind(e)})}function eg(e,t=0){let[n,r]=e.dims,i=e.data,a=new BigInt64Array(i.length);for(let e=0;ee.dims[1]||i[e.at(-1)])),{...n,decoder_input_ids:Bh(t)}}function ig(e,...t){return e.config.is_encoder_decoder?rg(e,...t):ng(e,...t)}function ag({modality_token_id:e,inputs_embeds:t,modality_features:n,input_ids:r,attention_mask:i}){let a=r.tolist().map(t=>t.reduce((t,n,r)=>(n==e&&t.push(r),t),[])),o=a.reduce((e,t)=>e+t.length,0),s=n.dims[0];if(o!==s)throw Error(`Number of tokens and features do not match: tokens: ${o}, features ${s}`);let c=0;for(let e=0;e[r,await Tc(e,t[r],!1,n)])))}var 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X{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`]},i_=class extends r_{async encode_speech(e){return eh(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 U)){let t=e.dims[0];if(r==null)r=W([t],.5);else if(typeof r==`number`)r=W([t],r);else if(Array.isArray(r))r=new U(`float32`,r,[t]);else throw 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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 eh(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 eh(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 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X{},ib=class extends rb{},ab=class extends rb{},ob=class extends X{},sb=class extends ob{},cb=class extends ob{},lb=class extends X{forward_params=[`input_ids`,`attention_mask`,`position_ids`,`past_key_values`,`pixel_values`,`image_grid_thw`]},ub=class extends lb{image_grid_thw_name=`grid_thw`;_get_text_only_rope_index(e,t){if(t){let{data:e,dims:n}=eg(t),r=BigInt64Array.from({length:3*e.length},(t,n)=>e[n%e.length]),i=Array.from({length:n[0]},(t,r)=>jc(e.subarray(n[1]*r,n[1]*(r+1)))[0]+1n+BigInt(n[1]));return[new U(`int64`,r,[3,...n]),new U(`int64`,i,[i.length,1])]}else{let[t,n]=e.dims;return[new U(`int64`,BigInt64Array.from({length:3*t*n},(e,r)=>BigInt(Math.floor(r%n/t))),[3,...e.dims]),Ul([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?jc(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,E=Array.from({length:T},(e,t)=>w+Math.floor(t/(b*x))),ee=Array.from({length:T},(e,t)=>w+Math.floor(t/x)%b),D=Array.from({length:T},(e,t)=>w+t%x);f.push([E,ee,D].flat()),p=d+T}if(p0?jc(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||=Hl(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(jc(r)[0]+1-i[e].length)}return[new U(`int64`,s.flat(1/0),[3,e.dims[0],e.dims[1]]),new U(`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 eh(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=Fl([r,r,r],0)}}return t}},db=class extends ub{},fb=class extends ub{image_grid_thw_name=`image_grid_thw`},pb=class extends db{image_grid_thw_name=`image_grid_thw`},mb=class extends fb{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}},hb=class extends X{},gb=class extends hb{},_b=class extends hb{},vb=class extends X{},yb=class extends vb{},bb=class extends vb{},xb=class 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_call(e){return new ih(await super._call(e))}},SS=class extends yS{async _call(e){return new J(await super._call(e))}},CS=class extends yS{async _call(e){return new ah(await super._call(e))}},wS=class extends X{},TS=class extends wS{},ES=class extends wS{},DS=class extends X{},OS=class extends DS{},kS=class extends DS{async _call(e){return new J(await super._call(e))}},AS=class extends DS{},jS=class extends X{},MS=class extends jS{},NS=class extends jS{async _call(e){return new J(await super._call(e))}},PS=class extends jS{},FS=class extends X{},IS=class extends FS{},LS=class extends FS{async _call(e){return new J(await super._call(e))}},RS=class extends FS{},zS=class extends X{},BS=class extends zS{},VS=class extends zS{async _call(e){return new J(await super._call(e))}},HS=class extends zS{},US=class extends X{},WS=class extends US{},GS=class extends US{async _call(e){return new J(await super._call(e))}},KS=class extends X{},qS=class extends KS{},JS=class extends KS{async _call(e){return new J(await super._call(e))}},YS=class extends X{},XS=class extends YS{},ZS=class extends YS{async _call(e){return new ih(await super._call(e))}},QS=class extends YS{async _call(e){return new J(await super._call(e))}},$S=class extends YS{async _call(e){return new rh(await super._call(e))}},eC=class extends X{},tC=class extends eC{},nC=class extends eC{},rC=class extends X{requires_attention_mask=!1;main_input_name=`input_values`;forward_params=[`input_values`,`decoder_input_ids`,`past_key_values`]},iC=class extends rC{},aC=class extends rC{},oC=class extends X{},sC=class extends oC{},cC=class extends oC{async _call(e){return new ih(await super._call(e))}},lC=class extends oC{async _call(e){return new J(await super._call(e))}},uC=class extends oC{async _call(e){return new rh(await super._call(e))}},dC=class extends oC{async _call(e){return new ah(await super._call(e))}},fC=class extends X{},pC=class extends fC{},mC=class extends fC{},hC=class extends X{},gC=class extends hC{},_C=class extends hC{},vC=class extends X{},yC=class extends vC{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 eh(t,ji(e,t.inputNames))}else{let t=this.sessions.gen_img_embeds;n=await eh(t,ji({image_ids:e.input_ids},t.inputNames))}let r={...e,...n},i=await Xh(this,r),a=this.sessions[t===`text`?`lm_head`:`gen_head`];if(!a)throw Error(`Unable to find "${a}" generation head`);let o=await eh(a,ji(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=Pl([t.input_ids,t.input_ids],0):(t.input_ids=Pl([t.input_ids,Vl(t.input_ids,BigInt(n.pad_token_id))],0),t.attention_mask=Pl([t.attention_mask,Vl(t.attention_mask,0n)],0))),(r||!t.pixel_values)&&(t.pixel_values=W([0,0,3,384,384],1)),r&&(t.images_seq_mask=new U(`bool`,[,].fill(!0).fill(!1,0,1),[1,1]),t.images_emb_mask=new U(`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 eh(r,{generated_tokens:n}),a=i.add_(1).mul_(255/2).clamp_(0,255).to(`uint8`),o=[];for(let e of a){let t=uf.fromTensor(e);o.push(t)}return o}},bC=class extends X{},xC=class extends bC{},SC=class extends bC{},CC=class extends X{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 U(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)),rg(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 eh(this.sessions.encodec_decode,{audio_codes:n});return r}},wC=class extends X{},TC=class extends wC{},EC=class extends wC{},DC=class extends X{},OC=class extends DC{},kC=class extends DC{},AC=class extends X{},jC=class extends AC{},MC=class extends AC{async _call(e){return new ih(await super._call(e))}},NC=class extends AC{async _call(e){return new J(await super._call(e))}},PC=class extends AC{async _call(e){return new rh(await super._call(e))}},FC=class extends AC{async _call(e){return new ah(await super._call(e))}},IC=class extends X{},LC=class extends IC{},RC=class extends X{},zC=class extends RC{},BC=class extends RC{},VC=class extends X{},HC=class extends VC{},UC=class extends VC{},WC=class extends X{},GC=class extends WC{},KC=class extends WC{},qC=class extends X{},JC=class extends qC{},YC=class extends qC{},XC=class extends X{},ZC=class extends XC{},QC=class extends XC{},$C=class extends X{},ew=class extends $C{},tw=class extends $C{},nw=class extends X{},rw=class extends nw{},iw=class extends nw{},aw=class extends X{},ow=class extends aw{},sw=class extends aw{},cw=class extends Gy{},lw=class extends X{},uw=class extends lw{async _call(e){return new oh(await super._call(e))}},dw=class extends X{},fw=class extends dw{},pw=class extends dw{},mw=class extends X{},hw=class extends mw{},gw=class extends mw{},_w=class extends X{},vw=class extends _w{},yw=class extends _w{},bw=class extends X{},xw=class extends bw{},Sw=class extends bw{},Cw=class extends X{forward_params=[`input_ids`,`inputs_embeds`,`attention_mask`,`position_ids`,`pixel_values`,`image_sizes`,`past_key_values`]},ww=class extends Cw{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 eh(this.sessions.vision_encoder,{pixel_values:n,image_sizes:r}))}else{let e=this.config.normalized_config.hidden_size;t=new U(`float32`,[],[0,e])}({inputs_embeds:a}=await eh(this.sessions.prepare_inputs_embeds,{input_ids:e,image_features:t}))}return await Xh(this,{inputs_embeds:a,past_key_values:o,attention_mask:t,position_ids:i,generation_config:s,logits_processor:c},!1)}},Tw=class extends X{},Ew=class extends Tw{},Dw=class extends Tw{async _call(e){return new J(await super._call(e))}},Ow=class extends X{},kw=class extends Ow{},Aw=class extends Ow{async _call(e){return new rh(await super._call(e))}},jw=class extends X{},Mw=class extends jw{},Nw=class extends jw{},Pw=class extends X{},Fw=class extends Pw{},Iw=class extends Pw{},Lw=class extends X{},Rw=class extends Lw{},zw=class extends Lw{},Bw=class extends X{},Vw=class extends Bw{},Hw=class extends Bw{},Uw=class extends X{},Ww=class extends Uw{},Gw=class extends Uw{},Kw=class extends fb{},qw=class extends pb{},Jw=class extends Kw{},Yw=class extends qw{},Xw=class extends Kw{},Zw=class extends Xw{},Qw=class extends Xw{},$w=class extends Zw{},eT=class extends X{},tT=class extends eT{},nT=class extends eT{async _call(e){return new J(await super._call(e))}},rT=class extends X{},iT=class extends rT{},aT=class extends rT{async _call(e){return new oT(await super._call(e))}},oT=class extends Y_{},sT=class extends X{},cT=class extends sT{},lT=class extends sT{async _call(e){return new ih(await super._call(e))}},uT=class extends sT{async _call(e){return new J(await super._call(e))}},dT=class extends sT{async _call(e){return new rh(await super._call(e))}},fT=class extends sT{async _call(e){return new ah(await super._call(e))}},pT=class extends X{},mT=class extends pT{},hT=class extends pT{async _call(e){return new ih(await super._call(e))}},gT=class extends pT{async _call(e){return new J(await super._call(e))}},_T=class extends pT{async _call(e){return new rh(await super._call(e))}},vT=class extends pT{async _call(e){return new ah(await super._call(e))}},yT=class extends X{},bT=class extends yT{},xT=class extends yT{async _call(e){return new ST(await super._call(e))}},ST=class extends Y_{},CT=class extends nh{constructor({iou_scores:e,pred_masks:t}){super(),this.iou_scores=e,this.pred_masks=t}},wT=class extends X{},TT=class extends wT{async get_image_embeddings({pixel_values:e}){return await Jh(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??=G(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 eh(this.sessions.prompt_encoder_mask_decoder,t)}async _call(e){return new CT(await super._call(e))}},ET=class extends nh{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}},DT=class extends X{},OT=class extends DT{async get_image_embeddings({pixel_values:e}){return await Jh(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.${t}`).some(t=>!e[t])?{...e,...await this.get_image_embeddings(e)}:{...e},e.input_points){if(e.input_boxes&&e.input_boxes.dims[1]!==1)throw Error("When both `input_points` and `input_boxes` are provided, the number of boxes per image must be 1.");let t=e.input_points.dims;e.input_labels??=G(t.slice(0,-1)),e.input_boxes??=W([t[0],0,4],0)}else if(e.input_boxes){let t=e.input_boxes.dims;e.input_labels=W([t[0],t[1],0],-1n),e.input_points=W([t[0],1,0,2],0)}else throw Error("At least one of `input_points` or `input_boxes` must be provided.");let n=this.sessions.prompt_encoder_mask_decoder;return await eh(n,ji(e,n.inputNames))}async _call(e){return new ET(await super._call(e))}},kT=class extends OT{},AT=class extends OT{},jT=class extends X{},MT=class extends jT{},NT=class extends jT{},PT=class extends jT{},FT=class extends X{},IT=class extends FT{},LT=class extends FT{},RT=class extends FT{},zT=class extends X{},BT=class extends zT{},VT=class extends zT{static async from_pretrained(e,t={}){return super.from_pretrained(e,{...t,model_file_name:t.model_file_name??`text_model`})}},HT=class extends p_{static async from_pretrained(e,t={}){return super.from_pretrained(e,{...t,model_file_name:t.model_file_name??`vision_model`})}},UT=class extends X{},WT=class extends UT{},GT=class extends UT{},KT=class extends X{main_input_name=`input_values`;forward_params=[`input_values`]},qT=class extends KT{async encode(e){return await eh(this.sessions.encoder_model,e)}async decode(e){return await eh(this.sessions.decoder_model,e)}},JT=class extends KT{static async from_pretrained(e,t={}){return super.from_pretrained(e,{...t,model_file_name:t.model_file_name??`encoder_model`})}},YT=class extends KT{static async from_pretrained(e,t={}){return super.from_pretrained(e,{...t,model_file_name:t.model_file_name??`decoder_model`})}},XT=class extends X{},ZT=class extends XT{},QT=class extends XT{},$T=class extends X{},eE=class extends $T{},tE=class extends $T{},nE=class extends $T{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 Jh(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=Vh(!!m),r;r=m?m.output_sequence_out:new U(`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 eh(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=Pl(f),{waveform:_}=await eh(a.sessions.model,{spectrogram:g});return{spectrogram:g,waveform:_}}},rE=class extends X{main_input_name=`spectrogram`},iE=class extends X{},aE=class extends iE{},oE=class extends iE{async _call(e){return new ih(await super._call(e))}},sE=class extends iE{async _call(e){return new J(await super._call(e))}},cE=class extends iE{async _call(e){return new ah(await super._call(e))}},lE=class extends X{},uE=class extends lE{},dE=class extends lE{},fE=class extends X{},pE=class extends fE{},mE=class extends fE{},hE=class extends X{},gE=class extends hE{},_E=class extends X{},vE=class extends _E{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 eh(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 U(l,new u(s*uD),[1,s,uD]),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 mD(e,t){let n=t.dims[2],r=Math.floor((dD+n-3)/2)+1,i=new U(`int64`,BigInt64Array.from({length:r},(t,n)=>BigInt(e.enc_past_seq_len+n)),[1,r]),a=e.enc_past_seq_len+r,o=G([1,a]),{audio_embeds:s,present_padding_cache:c,...l}=await eh(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 hD(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 _D=class extends wh{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)}},vD=class extends X{forward_params=[`input_ids`,`attention_mask`,`position_ids`,`past_key_values`]},yD=class extends vD{async forward({input_ids:e,past_key_values:t,...n}){let r=e.dims[1],i=fD.get(this);i&&await hD(i,i.audio_consumed+r);let{inputs_embeds:a}=await eh(this.sessions.embed_tokens,{input_ids:e});i&&gD(i,a,r);let o={inputs_embeds:a,...n};this.addPastKeyValues(o,t);let s=this.sessions.decoder_model_merged;return await eh(s,ji(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=pD(this,e);fD.set(this,r);let i=new Th;i.push(new _D(r)),t&&i.extend(t);try{return await super.generate({...n,stopping_criteria:i})}finally{r.enc_kv_cache.dispose(),fD.delete(this)}}},bD=class extends X{},xD=class extends bD{},SD=class extends bD{async _call(e){return new oh(await super._call(e))}},CD=class extends bD{async _call(e){return new J(await super._call(e))}},wD=class extends nh{constructor({logits:e,embeddings:t}){super(),this.logits=e,this.embeddings=t}},TD=class extends X{},ED=class extends TD{},DD=class extends TD{async _call(e){return new oh(await super._call(e))}},OD=class extends TD{async _call(e){return new J(await super._call(e))}},kD=class extends TD{async _call(e){return new wD(await super._call(e))}},AD=class extends TD{async _call(e){return new rh(await super._call(e))}},jD=class extends X{},MD=class extends jD{},ND=class extends Ch{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},PD=class extends X{requires_attention_mask=!1;main_input_name=`input_features`;forward_params=[`input_features`,`attention_mask`,`decoder_input_ids`,`decoder_attention_mask`,`past_key_values`]},FD=class extends PD{},ID=class extends PD{_prepare_generation_config(e,t){return super._prepare_generation_config(e,t,ND)}_retrieve_init_tokens(e){let t=[e.decoder_start_token_id],n=e.language,r=e.task;if(e.is_multilingual){n||=(F.warn(`No language specified - defaulting to English (en).`),`en`);let i=`<|${Yu(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&&(F.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 uh,n.push(new hh(t,a))),t.begin_suppress_tokens&&(n??=new uh,n.push(new mh(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`&&F.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),E=a+1500;for(let e=0;e=a&&(v[e]=Math.min(v[e]+T,E));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 U(`int64`,m.map(BigInt),[1,m.length]),t=[...Array(r.length).fill(0),...p,0];return{sequences:e,token_timestamps:new U(`float32`,new Float32Array(t),[1,t.length])}}return new U(`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??F.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&&(F.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)=>Pl(o.map(e=>e[t]),2)),c=Fl(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]=Ll(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 U(`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}},LD=class extends ID{},RD=class extends X{},zD=class extends RD{},BD=class extends RD{async _call(e){return new ih(await super._call(e))}},VD=class extends RD{async _call(e){return new J(await super._call(e))}},HD=class extends RD{async _call(e){return new rh(await super._call(e))}},UD=class extends RD{async _call(e){return new ah(await super._call(e))}},WD=class extends X{},GD=class extends WD{},KD=class extends WD{async _call(e){return new ih(await super._call(e))}},qD=class extends WD{async _call(e){return new J(await super._call(e))}},JD=class extends WD{async _call(e){return new rh(await super._call(e))}},YD=class extends WD{async _call(e){return new ah(await super._call(e))}},XD=class extends X{},ZD=class extends XD{},QD=class extends XD{async _call(e){return new $D(await super._call(e))}},$D=class extends nh{constructor({logits:e,pred_boxes:t}){super(),this.logits=e,this.pred_boxes=t}},eO=class extends X{},tO=class extends eO{},nO=class extends eO{},rO=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`]]),iO=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`]]),aO=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`]]),sO=new Map([[`speecht5`,`SpeechT5ForSpeechToText`],[`whisper`,`WhisperForConditionalGeneration`],[`lite-whisper`,`LiteWhisperForConditionalGeneration`],[`moonshine`,`MoonshineForConditionalGeneration`],[`cohere_asr`,`CohereAsrForConditionalGeneration`]]),cO=new Map([[`speecht5`,`SpeechT5ForTextToSpeech`]]),lO=new Map([[`vits`,`VitsModel`],[`musicgen`,`MusicgenForConditionalGeneration`],[`supertonic`,`SupertonicForConditionalGeneration`]]),uO=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`]]),dO=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`]]),fO=new Map([[`t5`,`T5ForConditionalGeneration`],[`longt5`,`LongT5ForConditionalGeneration`],[`mt5`,`MT5ForConditionalGeneration`],[`bart`,`BartForConditionalGeneration`],[`mbart`,`MBartForConditionalGeneration`],[`marian`,`MarianMTModel`],[`m2m_100`,`M2M100ForConditionalGeneration`],[`blenderbot`,`BlenderbotForConditionalGeneration`],[`blenderbot-small`,`BlenderbotSmallForConditionalGeneration`]]),pO=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`]]),mO=new Map([[`multi_modality`,`MultiModalityCausalLM`]]),hO=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`]]),gO=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`]]),_O=new Map([[`vision-encoder-decoder`,`VisionEncoderDecoderModel`],[`idefics3`,`Idefics3ForConditionalGeneration`],[`smolvlm`,`SmolVLMForConditionalGeneration`]]),vO=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`]]),yO=new Map([[`granite_speech`,`GraniteSpeechForConditionalGeneration`],[`ultravox`,`UltravoxModel`],[`voxtral`,`VoxtralForConditionalGeneration`],[`voxtral_realtime`,`VoxtralRealtimeForConditionalGeneration`]]),bO=new Map([[`vision-encoder-decoder`,`VisionEncoderDecoderModel`]]),xO=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`]]),SO=new Map([[`detr`,`DetrForObjectDetection`],[`rt_detr`,`RTDetrForObjectDetection`],[`rt_detr_v2`,`RTDetrV2ForObjectDetection`],[`rf_detr`,`RFDetrForObjectDetection`],[`d_fine`,`DFineForObjectDetection`],[`table-transformer`,`TableTransformerForObjectDetection`],[`yolos`,`YolosForObjectDetection`]]),CO=new Map([[`owlvit`,`OwlViTForObjectDetection`],[`owlv2`,`Owlv2ForObjectDetection`],[`grounding-dino`,`GroundingDinoForObjectDetection`]]),wO=new Map([[`detr`,`DetrForSegmentation`],[`clipseg`,`CLIPSegForImageSegmentation`]]),TO=new Map([[`segformer`,`SegformerForSemanticSegmentation`],[`sapiens`,`SapiensForSemanticSegmentation`],[`swin`,`SwinForSemanticSegmentation`],[`mobilenet_v1`,`MobileNetV1ForSemanticSegmentation`],[`mobilenet_v2`,`MobileNetV2ForSemanticSegmentation`],[`mobilenet_v3`,`MobileNetV3ForSemanticSegmentation`],[`mobilenet_v4`,`MobileNetV4ForSemanticSegmentation`]]),EO=new Map([[`detr`,`DetrForSegmentation`],[`maskformer`,`MaskFormerForInstanceSegmentation`]]),DO=new Map([[`sam`,`SamModel`],[`sam2`,`Sam2Model`],[`edgetam`,`EdgeTamModel`],[`sam3_tracker`,`Sam3TrackerModel`]]),OO=new Map([[`wav2vec2`,`Wav2Vec2ForCTC`],[`wav2vec2-bert`,`Wav2Vec2BertForCTC`],[`unispeech`,`UniSpeechForCTC`],[`unispeech-sat`,`UniSpeechSatForCTC`],[`wavlm`,`WavLMForCTC`],[`hubert`,`HubertForCTC`],[`parakeet_ctc`,`ParakeetForCTC`]]),kO=new Map([[`wav2vec2`,`Wav2Vec2ForSequenceClassification`],[`wav2vec2-bert`,`Wav2Vec2BertForSequenceClassification`],[`unispeech`,`UniSpeechForSequenceClassification`],[`unispeech-sat`,`UniSpeechSatForSequenceClassification`],[`wavlm`,`WavLMForSequenceClassification`],[`hubert`,`HubertForSequenceClassification`],[`audio-spectrogram-transformer`,`ASTForAudioClassification`]]),AO=new Map([[`wavlm`,`WavLMForXVector`]]),jO=new Map([[`unispeech-sat`,`UniSpeechSatForAudioFrameClassification`],[`wavlm`,`WavLMForAudioFrameClassification`],[`wav2vec2`,`Wav2Vec2ForAudioFrameClassification`],[`pyannote`,`PyAnnoteForAudioFrameClassification`]]),MO=new Map([[`vitmatte`,`VitMatteForImageMatting`]]),NO=new Map([[`patchtst`,`PatchTSTForPrediction`],[`patchtsmixer`,`PatchTSMixerForPrediction`]]),PO=new Map([[`swin2sr`,`Swin2SRForImageSuperResolution`]]),FO=new Map([[`chmv2`,`CHMv2ForDepthEstimation`],[`dpt`,`DPTForDepthEstimation`],[`depth_anything`,`DepthAnythingForDepthEstimation`],[`glpn`,`GLPNForDepthEstimation`],[`sapiens`,`SapiensForDepthEstimation`],[`depth_pro`,`DepthProForDepthEstimation`],[`metric3d`,`Metric3DForDepthEstimation`],[`metric3dv2`,`Metric3Dv2ForDepthEstimation`]]),IO=new Map([[`sapiens`,`SapiensForNormalEstimation`]]),LO=new Map([[`vitpose`,`VitPoseForPoseEstimation`]]),RO=new Map([[`clip`,`CLIPVisionModelWithProjection`],[`siglip`,`SiglipVisionModel`],[`jina_clip`,`JinaCLIPVisionModel`]]),zO=[[rO,Y.EncoderOnly],[iO,Y.EncoderDecoder],[oO,Y.DecoderOnlyWithoutHead],[aO,Y.AutoEncoder],[uO,Y.EncoderOnly],[dO,Y.EncoderOnly],[fO,Y.Seq2Seq],[sO,Y.Seq2Seq],[pO,Y.DecoderOnly],[mO,Y.MultiModality],[hO,Y.EncoderOnly],[gO,Y.EncoderOnly],[_O,Y.Vision2Seq],[vO,Y.ImageTextToText],[yO,Y.AudioTextToText],[xO,Y.EncoderOnly],[wO,Y.EncoderOnly],[EO,Y.EncoderOnly],[TO,Y.EncoderOnly],[MO,Y.EncoderOnly],[NO,Y.EncoderOnly],[PO,Y.EncoderOnly],[FO,Y.EncoderOnly],[IO,Y.EncoderOnly],[LO,Y.EncoderOnly],[SO,Y.EncoderOnly],[CO,Y.EncoderOnly],[DO,Y.MaskGeneration],[OO,Y.EncoderOnly],[kO,Y.EncoderOnly],[cO,Y.Seq2Seq],[lO,Y.EncoderOnly],[AO,Y.EncoderOnly],[jO,Y.EncoderOnly],[RO,Y.EncoderOnly]];for(let[e,t]of zO)for(let n of e.values()){Wh.set(n,t);let e=lg[n];Kh.set(e,n),Gh.set(n,e)}var BO=[[`MusicgenForConditionalGeneration`,CC,Y.Musicgen],[`Phi3VForCausalLM`,ww,Y.Phi3V],[`CLIPTextModelWithProjection`,g_,Y.EncoderOnly],[`SiglipTextModel`,VT,Y.EncoderOnly],[`JinaCLIPTextModel`,Sx,Y.EncoderOnly],[`ClapTextModelWithProjection`,d_,Y.EncoderOnly],[`ClapAudioModelWithProjection`,f_,Y.EncoderOnly],[`DacEncoderModel`,rv,Y.EncoderOnly],[`DacDecoderModel`,iv,Y.EncoderOnly],[`MimiEncoderModel`,dS,Y.EncoderOnly],[`MimiDecoderModel`,fS,Y.EncoderOnly],[`SnacEncoderModel`,JT,Y.EncoderOnly],[`SnacDecoderModel`,YT,Y.EncoderOnly],[`Gemma3nForConditionalGeneration`,$y,Y.ImageAudioTextToText],[`Gemma4ForConditionalGeneration`,tb,Y.ImageAudioTextToText],[`SupertonicForConditionalGeneration`,vE,Y.Supertonic],[`ChatterboxModel`,i_,Y.Chatterbox],[`VoxtralRealtimeForConditionalGeneration`,yD,Y.VoxtralRealtime]];for(let[e,t,n]of BO)Wh.set(e,n),Kh.set(t,e),Gh.set(e,t);var VO=new Map([[`modnet`,wO],[`birefnet`,wO],[`isnet`,wO],[`ben`,wO]]);for(let[e,t]of VO.entries())t.set(e,`PreTrainedModel`),Wh.set(e,Y.EncoderOnly),Gh.set(e,X);var HO=new Set(VO.keys());Wh.set(`PreTrainedModel`,Y.EncoderOnly),Kh.set(X,`PreTrainedModel`);var UO={MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING_NAMES:uO,MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING_NAMES:dO,MODEL_FOR_TEXT_TO_SPECTROGRAM_MAPPING_NAMES:cO,MODEL_FOR_TEXT_TO_WAVEFORM_MAPPING_NAMES:lO,MODEL_FOR_MASKED_LM_MAPPING_NAMES:hO,MODEL_FOR_QUESTION_ANSWERING_MAPPING_NAMES:gO,MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING_NAMES:xO,MODEL_FOR_IMAGE_SEGMENTATION_MAPPING_NAMES:wO,MODEL_FOR_SEMANTIC_SEGMENTATION_MAPPING_NAMES:TO,MODEL_FOR_UNIVERSAL_SEGMENTATION_MAPPING_NAMES:EO,MODEL_FOR_OBJECT_DETECTION_MAPPING_NAMES:SO,MODEL_FOR_ZERO_SHOT_OBJECT_DETECTION_MAPPING_NAMES:CO,MODEL_FOR_MASK_GENERATION_MAPPING_NAMES:DO,MODEL_FOR_CTC_MAPPING_NAMES:OO,MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING_NAMES:kO,MODEL_FOR_AUDIO_XVECTOR_MAPPING_NAMES:AO,MODEL_FOR_AUDIO_FRAME_CLASSIFICATION_MAPPING_NAMES:jO,MODEL_FOR_DOCUMENT_QUESTION_ANSWERING_MAPPING_NAMES:bO,MODEL_FOR_IMAGE_MATTING_MAPPING_NAMES:MO,MODEL_FOR_IMAGE_TO_IMAGE_MAPPING_NAMES:PO,MODEL_FOR_DEPTH_ESTIMATION_MAPPING_NAMES:FO,MODEL_FOR_NORMAL_ESTIMATION_MAPPING_NAMES:IO,MODEL_FOR_POSE_ESTIMATION_MAPPING_NAMES:LO,MODEL_FOR_IMAGE_FEATURE_EXTRACTION_MAPPING_NAMES:RO,MODEL_FOR_IMAGE_TEXT_TO_TEXT_MAPPING_NAMES:vO,MODEL_FOR_AUDIO_TEXT_TO_TEXT_MAPPING_NAMES:yO,MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING_NAMES:fO,MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING_NAMES:sO,MODEL_FOR_CAUSAL_LM_MAPPING_NAMES:pO,MODEL_FOR_VISION_2_SEQ_MAPPING_NAMES:_O};zh(UO);var WO=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 Km.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 lg[n].from_pretrained(e,f)}if(this.BASE_IF_FAIL)return HO.has(p)||F.warn(`Unknown model class "${p}", attempting to construct from base class.`),await X.from_pretrained(e,f);throw Error(`Unsupported model type: ${p}`)}},GO=class extends WO{static MODEL_CLASS_MAPPINGS=zO.map(e=>e[0]);static BASE_IF_FAIL=!0},KO=class extends WO{static MODEL_CLASS_MAPPINGS=[UO.MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING_NAMES]},qO=class extends WO{static MODEL_CLASS_MAPPINGS=[UO.MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING_NAMES]},JO=class extends WO{static MODEL_CLASS_MAPPINGS=[UO.MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING_NAMES]},YO=class extends WO{static MODEL_CLASS_MAPPINGS=[UO.MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING_NAMES]},XO=class extends WO{static MODEL_CLASS_MAPPINGS=[UO.MODEL_FOR_TEXT_TO_SPECTROGRAM_MAPPING_NAMES]},ZO=class extends WO{static MODEL_CLASS_MAPPINGS=[UO.MODEL_FOR_TEXT_TO_WAVEFORM_MAPPING_NAMES]},QO=class extends WO{static MODEL_CLASS_MAPPINGS=[UO.MODEL_FOR_CAUSAL_LM_MAPPING_NAMES]},$O=class extends WO{static MODEL_CLASS_MAPPINGS=[UO.MODEL_FOR_MASKED_LM_MAPPING_NAMES]},ek=class extends WO{static MODEL_CLASS_MAPPINGS=[UO.MODEL_FOR_QUESTION_ANSWERING_MAPPING_NAMES]},tk=class extends WO{static MODEL_CLASS_MAPPINGS=[UO.MODEL_FOR_VISION_2_SEQ_MAPPING_NAMES]},nk=class extends WO{static MODEL_CLASS_MAPPINGS=[UO.MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING_NAMES]},rk=class extends WO{static MODEL_CLASS_MAPPINGS=[UO.MODEL_FOR_IMAGE_SEGMENTATION_MAPPING_NAMES]},ik=class extends WO{static MODEL_CLASS_MAPPINGS=[UO.MODEL_FOR_SEMANTIC_SEGMENTATION_MAPPING_NAMES]},ak=class extends WO{static MODEL_CLASS_MAPPINGS=[UO.MODEL_FOR_UNIVERSAL_SEGMENTATION_MAPPING_NAMES]},ok=class extends WO{static MODEL_CLASS_MAPPINGS=[UO.MODEL_FOR_OBJECT_DETECTION_MAPPING_NAMES]},sk=class extends WO{static MODEL_CLASS_MAPPINGS=[UO.MODEL_FOR_ZERO_SHOT_OBJECT_DETECTION_MAPPING_NAMES]};(class extends WO{static MODEL_CLASS_MAPPINGS=[UO.MODEL_FOR_MASK_GENERATION_MAPPING_NAMES]});var ck=class extends WO{static MODEL_CLASS_MAPPINGS=[UO.MODEL_FOR_CTC_MAPPING_NAMES]},lk=class extends WO{static MODEL_CLASS_MAPPINGS=[UO.MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING_NAMES]};(class extends WO{static MODEL_CLASS_MAPPINGS=[UO.MODEL_FOR_AUDIO_XVECTOR_MAPPING_NAMES]}),class extends WO{static MODEL_CLASS_MAPPINGS=[UO.MODEL_FOR_AUDIO_FRAME_CLASSIFICATION_MAPPING_NAMES]};var uk=class extends WO{static MODEL_CLASS_MAPPINGS=[UO.MODEL_FOR_DOCUMENT_QUESTION_ANSWERING_MAPPING_NAMES]};(class extends WO{static MODEL_CLASS_MAPPINGS=[UO.MODEL_FOR_IMAGE_MATTING_MAPPING_NAMES]});var dk=class extends WO{static MODEL_CLASS_MAPPINGS=[UO.MODEL_FOR_IMAGE_TO_IMAGE_MAPPING_NAMES]},fk=class extends WO{static MODEL_CLASS_MAPPINGS=[UO.MODEL_FOR_DEPTH_ESTIMATION_MAPPING_NAMES]};(class extends WO{static MODEL_CLASS_MAPPINGS=[UO.MODEL_FOR_NORMAL_ESTIMATION_MAPPING_NAMES]}),class extends WO{static MODEL_CLASS_MAPPINGS=[UO.MODEL_FOR_POSE_ESTIMATION_MAPPING_NAMES]};var pk=class extends WO{static MODEL_CLASS_MAPPINGS=[UO.MODEL_FOR_IMAGE_FEATURE_EXTRACTION_MAPPING_NAMES]};(class extends WO{static MODEL_CLASS_MAPPINGS=[UO.MODEL_FOR_IMAGE_TEXT_TO_TEXT_MAPPING_NAMES]}),class extends WO{static MODEL_CLASS_MAPPINGS=[UO.MODEL_FOR_AUDIO_TEXT_TO_TEXT_MAPPING_NAMES]};async function mk(e){return Array.isArray(e)||(e=[e]),await Promise.all(e.map(e=>uf.read(e)))}async function hk(e,t){return Array.isArray(e)||(e=[e]),await Promise.all(e.map(e=>typeof e==`string`||e instanceof URL?pd(e,t):e instanceof Float64Array?new Float32Array(e):e))}function gk(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 _k=class extends Si{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()}},vk=class extends _k{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 U(`float32`,Oc(e.data),e.dims),s=[];for(let e of r.logits){let n=await Dl(o(e),t),r=n[0].tolist(),i=n[1].tolist().map((e,t)=>({label:a?a[e]:`LABEL_${e}`,score:r[t]}));t===1?s.push(...i):s.push(i)}return Array.isArray(e)||t===1?s:s[0]}},yk=class extends _k{async _call(e,{ignore_labels:t=[`O`]}={}){let n=Array.isArray(e),r=this.tokenizer(n?e:[e],{padding:!0,truncation:!0}),i=(await this.model(r)).logits,a=this.model.config.id2label,o=[];for(let e=0;ee==u),i=a[e].tolist(),f=o[e].tolist();for(let n=1;ne==t[n])!==-1)&&(i[n]=-1/0,f[n]=-1/0);let p=Oc(i).map((e,t)=>[e,t]),m=Oc(f).map((e,t)=>[e,t]);p[0][0]=0,m[0][0]=0;let h=ki(p,m).filter(e=>e[0][1]<=e[1][1]).map(e=>[e[0][1],e[1][1],e[0][0]*e[1][0]]).sort((e,t)=>t[2]-e[2]),g=[];for(let e=0;ee==n);if(c===-1)throw Error(`Mask token (${r}) not found in text.`);let l=a[e][c],u=await Dl(new U(`float32`,Oc(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]}},Sk=class extends _k{_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}))}},Ck=class extends Sk{_key=`summary_text`},wk=class extends Sk{_key=`translation_text`};function Tk(e){return Array.isArray(e)&&e.every(e=>`role`in e&&`content`in e)}var Ek=class extends _k{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(Tk(e))e=[e];else if(Array.isArray(e)&&e.every(Tk))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&&(F.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&&(F.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=>Oc(e)[1]):Oc(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]}},Ok=class extends _k{async _call(e,{top_k:t=5}={}){let n=this.processor.feature_extractor.config.sampling_rate,r=await hk(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 Dl(new U(`float32`,Oc(r.data),r.dims),t),s=o[0].tolist(),c=o[1].tolist().map((e,t)=>({label:i?i[e]:`LABEL_${e}`,score:s[t]}));a.push(c)}return Array.isArray(e)?a:a[0]}},kk=class extends _k{async _call(e,t,{hypothesis_template:n=`This is a sound of {}.`}={}){let r=!Array.isArray(e);r&&(e=[e]);let i=t.map(e=>n.replace(`{}`,e)),a=this.tokenizer(i,{padding:!0,truncation:!0}),o=this.processor.feature_extractor.config.sampling_rate,s=await hk(e,o),c=[];for(let e of s){let n=await this.processor(e),r=Oc((await this.model({...a,...n})).logits_per_audio.data);c.push([...r].map((e,n)=>({score:e,label:t[n]})))}return r?c[0]:c}},Ak=class extends _k{async _call(e,t={}){switch(this.model.config.model_type){case`whisper`:case`lite-whisper`:return this._call_whisper(e,t);case`wav2vec2`:case`wav2vec2-bert`:case`unispeech`:case`unispeech-sat`:case`hubert`:case`parakeet_ctc`:return this._call_wav2vec2(e,t);case`moonshine`:return this._call_moonshine(e,t);case`cohere_asr`:return this._call_cohere_asr(e,t);default:throw Error(`AutomaticSpeechRecognitionPipeline does not support model type '${this.model.config.model_type}'.`)}}async _call_wav2vec2(e,t){t.language&&F.warn('`language` parameter is not yet supported for `wav2vec2` models, defaulting to "English".'),t.task&&F.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 hk(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(jc(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 hk(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=>Lc(e,2))}else 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