diff --git "a/dist/assets/index-CE-KxmnA.js" "b/dist/assets/index-CE-KxmnA.js"
new file mode 100644--- /dev/null
+++ "b/dist/assets/index-CE-KxmnA.js"
@@ -0,0 +1,159 @@
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+ * react-jsx-runtime.production.js
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+ * @license React
+ * react-dom-client.production.js
+ *
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ *
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T=a.memoizedState;if(l=T.cache,De(a,Ft,l),l!==m.cache&&Ce(a,[Ft],i,!0),ts(),l=T.element,m.isDehydrated)if(m={element:l,isDehydrated:!1,cache:T.cache},a.updateQueue.baseState=m,a.memoizedState=m,a.flags&256){a=Pw(t,a,l,i);break e}else if(l!==f){f=Rn(Error(s(424)),a),Wr(f),a=Pw(t,a,l,i);break e}else{switch(t=a.stateNode.containerInfo,t.nodeType){case 9:t=t.body;break;default:t=t.nodeName==="HTML"?t.ownerDocument.body:t}for(_t=La(t.firstChild),tn=a,Qe=!0,Oa=null,kn=!0,i=Hc(a,null,l,i),a.child=i;i;)i.flags=i.flags&-3|4096,i=i.sibling}else{if(br(),l===f){a=rs(t,a,i);break e}bn(t,a,l,i)}a=a.child}return a;case 26:return af(t,a),t===null?(i=K0(a.type,null,a.pendingProps,null))?a.memoizedState=i:Qe||(i=a.type,t=a.pendingProps,l=bf(Oe.current).createElement(i),l[Kt]=a,l[gn]=t,Mn(l,i,t),Qt(l),a.stateNode=l):a.memoizedState=K0(a.type,t.memoizedProps,a.pendingProps,t.memoizedState),null;case 27:return 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+ *
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+ * This source code is licensed under the ISC license.
+ * See the LICENSE file in the root directory of this source tree.
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r=e.Regex.replace(/\\([#&~])/g,"$1");r=r.replace(/\\A/g,"^").replace(/\\z/g,"$").replace(/\\Z/g,"(?=\\r?\\n?$)");for(const[s,o]of uC)r=r.replaceAll(s,o);try{return new RegExp(r,"gu")}catch(s){if(!(s instanceof SyntaxError)||!s.message.toLowerCase().includes("invalid property name"))throw s;let o=!1;const c=r.replace(/(\\[pP])\{([^}=]+)\}/g,(u,d,h)=>{try{return new RegExp(`\\p{${h}}`,"u"),`${d}{${h}}`}catch{return o=!0,`${d}{Script=${h}}`}});if(!o)throw s;try{return new RegExp(c,"gu")}catch{throw s}}}else if(e.String!==void 0){const r=dC(e.String);return new RegExp(n?r:`(${r})`,"gu")}else return console.warn("Unknown pattern type:",e),null},dC=e=>e.replace(/[.*+?^${}()|[\]\\]/g,"\\$&"),fC=(e,n,r)=>{const s=[];let o=0;for(;o<e.length;){if(s.push(e[o]),(n.get(e[o])??r)!==r){++o;continue}for(;++o<e.length&&(n.get(e[o])??r)===r;)n.get(s.at(-1))!==r&&(s[s.length-1]+=e[o])}return s},hC=e=>e>=19968&&e<=40959||e>=13312&&e<=19903||e>=131072&&e<=173791||e>=173824&&e<=177983||e>=177984&&e<=178207||e>=178208&&e<=183983||e>=63744&&e<=64255||e>=194560&&e<=195103,pC=e=>Number.isInteger(e)||typeof e=="bigint",mC=e=>{let n=0;for(const r of e)++n;return n},_C=e=>lx(e.toLowerCase()),sr=(...e)=>Array.prototype.concat.apply([],e),Xg=e=>new Map(Object.entries(e)),gC=(e,n)=>{const r=[];let s=0;for(const o of e.matchAll(n)){const c=o[0];s<o.index&&r.push(e.slice(s,o.index)),c.length>0&&r.push(c),s=o.index+c.length}return s<e.length&&r.push(e.slice(s)),r},lx=e=>e.replace(new RegExp("\\p{M}","gu"),""),u1=(e,n,r=[])=>{if(!e||Array.isArray(e)||typeof e!="object")return`${n} must be a valid object`;for(const s of r)if(!(s in e))return`${n} must contain a "${s}" property`;return null},vC=e=>e.match(/\S+/g)||[],yC=class{constructor(){const e=function(...n){return e._call(...n)};return Object.setPrototypeOf(e,new.target.prototype)}},Wu=yC,wC=class extends Wu{constructor(e){super(),this.config=e}_call(e){return this.normalize(e)}},gs=wC,bC=class extends gs{tokenize_chinese_chars(e){const n=[];for(let r=0;r<e.length;++r){const s=e[r],o=s.charCodeAt(0);hC(o)?(n.push(" "),n.push(s),n.push(" ")):n.push(s)}return n.join("")}strip_accents(e){return e.normalize("NFD").replace(new RegExp("\\p{Mn}","gu"),"")}is_control(e){switch(e){case"	":case`
+`:case"\r":return!1;default:return new RegExp("^\\p{Cc}|\\p{Cf}|\\p{Co}|\\p{Cs}$","u").test(e)}}clean_text(e){const n=[];for(const r of e){const s=r.charCodeAt(0);s===0||s===65533||this.is_control(r)||(/^\s$/.test(r)?n.push(" "):n.push(r))}return n.join("")}normalize(e){return this.config.clean_text&&(e=this.clean_text(e)),this.config.handle_chinese_chars&&(e=this.tokenize_chinese_chars(e)),this.config.lowercase?(e=e.toLowerCase(),this.config.strip_accents!==!1&&(e=this.strip_accents(e))):this.config.strip_accents&&(e=this.strip_accents(e)),e}},MC=bC,xC=class extends gs{constructor(e){super(e),this.charsmap=e.precompiled_charsmap??null}normalize(e){return e=e.replace(/[\u0001-\u0008\u000B\u000E-\u001F\u007F\u008F\u009F]/gm,""),e=e.replace(/[\u0009\u000A\u000C\u000D\u00A0\u1680\u2000-\u200F\u2028\u2029\u202F\u205F\u2581\u3000\uFEFF\uFFFD]/gm," "),e.includes("～")?e=e.split("～").map(r=>r.normalize("NFKC")).join("～"):e=e.normalize("NFKC"),e}},TC=xC,SC=class extends gs{constructor(e){super(e),this.normalizers=(e.normalizers??[]).map(n=>cx(n))}normalize(e){return this.normalizers.reduce((n,r)=>r?r.normalize(n):n,e)}},EC=SC,AC=class extends gs{normalize(e){const n=Lh(this.config.pattern??{});return n===null?e:e.replaceAll(n,this.config.content??"")}},CC=AC,kC=class extends gs{constructor(){super(...arguments),this.form="NFC"}normalize(e){return e=e.normalize(this.form),e}},Nh=kC,OC=class extends Nh{constructor(){super(...arguments),this.form="NFC"}},zC=OC,LC=class extends Nh{constructor(){super(...arguments),this.form="NFD"}},NC=LC,DC=class extends Nh{constructor(){super(...arguments),this.form="NFKC"}},FC=DC,BC=class extends Nh{constructor(){super(...arguments),this.form="NFKD"}},PC=BC,RC=class extends gs{normalize(e){return this.config.strip_left&&this.config.strip_right?e=e.trim():(this.config.strip_left&&(e=e.trimStart()),this.config.strip_right&&(e=e.trimEnd())),e}},UC=RC,GC=class extends gs{normalize(e){return lx(e)}},IC=GC,jC=class extends gs{normalize(e){return e.toLowerCase()}},VC=jC,qC=class extends gs{normalize(e){return e=this.config.prepend+e,e}},$C=qC;function HC(e){if(e===null)return null;switch(e.type){case"BertNormalizer":return new MC(e);case"Precompiled":return new TC(e);case"Sequence":return new EC(e);case"Replace":return new CC(e);case"NFC":return new zC(e);case"NFD":return new NC(e);case"NFKC":return new FC(e);case"NFKD":return new PC(e);case"Strip":return new UC(e);case"StripAccents":return new IC(e);case"Lowercase":return new VC(e);case"Prepend":return new $C(e);default:throw new Error(`Unknown Normalizer type: ${e.type}`)}}var cx=HC,YC=class extends Wu{pre_tokenize(e,n){return(Array.isArray(e)?e.map(r=>this.pre_tokenize_text(r,n)):this.pre_tokenize_text(e,n)).flat()}_call(e,n){return this.pre_tokenize(e,n)}},lr=YC,XC=class extends lr{constructor(e){super(),this.config=e,this.add_prefix_space=this.config.add_prefix_space??!1,this.trim_offsets=this.config.trim_offsets??!1,this.use_regex=this.config.use_regex??!0,this.pattern=new RegExp("'s|'t|'re|'ve|'m|'ll|'d| ?\\p{L}+| ?\\p{N}+| ?[^\\s\\p{L}\\p{N}]+|\\s+(?!\\S)|\\s+","gu"),this.byte_encoder=ox,this.text_encoder=new TextEncoder}pre_tokenize_text(e,n){return this.add_prefix_space&&!e.startsWith(" ")&&(e=" "+e),(this.use_regex?e.match(this.pattern)||[]:[e]).map(s=>Array.from(this.text_encoder.encode(s),o=>this.byte_encoder[o]).join(""))}},QC=XC,WC=class extends lr{pre_tokenize_text(e,n){return e.match(/\w+|[^\w\s]+/g)||[]}},ZC=WC,KC=class extends lr{constructor(e){super(),this.replacement=e.replacement??"▁",this.str_rep=e.str_rep||this.replacement,this.prepend_scheme=e.prepend_scheme??"always"}pre_tokenize_text(e,n){const{section_index:r=void 0}=n??{};let s=e.replaceAll(" ",this.str_rep);return!s.startsWith(this.replacement)&&(this.prepend_scheme==="always"||this.prepend_scheme==="first"&&r===0)&&(s=this.str_rep+s),[s]}},JC=KC,ek=class extends lr{constructor(e){super(),this.config=e,this.pattern=Lh(this.config.pattern??{},this.config.invert??!0)}pre_tokenize_text(e){var n;return this.pattern===null?[]:this.config.invert?e.match(this.pattern)||[]:((n=this.config.behavior)==null?void 0:n.toLowerCase())==="removed"?e.split(this.pattern).filter(r=>r):gC(e,this.pattern)}},tk=ek,nk=class extends lr{constructor(e){super(),this.config=e,this.pattern=new RegExp(`[^${yh}]+|[${yh}]+`,"gu")}pre_tokenize_text(e){return e.match(this.pattern)||[]}},ak=nk,rk=class extends lr{constructor(e){super(),this.config=e;const n=`[^\\d]+|\\d${this.config.individual_digits?"":"+"}`;this.pattern=new RegExp(n,"gu")}pre_tokenize_text(e){return e.match(this.pattern)||[]}},sk=rk,ik=class extends lr{constructor(){super(),this.pattern=new RegExp(`[^\\s${yh}]+|[${yh}]`,"gu")}pre_tokenize_text(e,n){return e.trim().match(this.pattern)||[]}},ok=ik,lk=class extends lr{constructor(e){super(),this.config=e,this.pattern=Lh(this.config.pattern??{}),this.content=this.config.content??""}pre_tokenize_text(e){return this.pattern===null?[e]:[e.replaceAll(this.pattern,this.config.content??"")]}},ck=lk,uk=class extends lr{constructor(e){super(),this.tokenizers=(e.pretokenizers??[]).map(n=>ux(n))}pre_tokenize_text(e,n){return this.tokenizers.reduce((r,s)=>s?s.pre_tokenize(r,n):r,[e])}},dk=uk,fk=class extends lr{pre_tokenize_text(e){return vC(e)}},hk=fk,pk=class extends lr{constructor(e){super(),this.config=e,this._length=e.length}pre_tokenize_text(e){const n=[];for(let r=0;r<e.length;r+=this._length)n.push(e.slice(r,r+this._length));return n}},mk=pk;function _k(e){if(e===null)return null;switch(e.type){case"BertPreTokenizer":return new ok;case"Sequence":return new dk(e);case"Whitespace":return new ZC;case"WhitespaceSplit":return new hk;case"Metaspace":return new JC(e);case"ByteLevel":return new QC(e);case"Split":return new tk(e);case"Punctuation":return new ak(e);case"Digits":return new sk(e);case"Replace":return new ck(e);case"FixedLength":return new mk(e);default:throw new Error(`Unknown PreTokenizer type: ${e.type}`)}}var ux=_k,gk=class extends Wu{constructor(e){super(),this.config=e,this.vocab=[],this.tokens_to_ids=new Map,this.unk_token_id=void 0,this.unk_token=void 0,this.end_of_word_suffix=void 0,this.fuse_unk=this.config.fuse_unk??!1}_call(e){let n=this.encode(e);return this.fuse_unk&&(n=fC(n,this.tokens_to_ids,this.unk_token_id)),n}},Dh=gk,vk=class extends Dh{constructor(e){super(e),this.max_input_chars_per_word=100,this.tokens_to_ids=Xg(e.vocab),this.unk_token_id=this.tokens_to_ids.get(e.unk_token),this.unk_token=e.unk_token,this.max_input_chars_per_word=e.max_input_chars_per_word??100,this.vocab=new Array(this.tokens_to_ids.size);for(const[n,r]of this.tokens_to_ids)this.vocab[r]=n}encode(e){const n=[];for(const r of e){const s=[...r];if(s.length>this.max_input_chars_per_word){n.push(this.unk_token);continue}let o=!1,c=0;const u=[];for(;c<s.length;){let d=s.length,h=null;for(;c<d;){let p=s.slice(c,d).join("");if(c>0&&(p=this.config.continuing_subword_prefix+p),this.tokens_to_ids.has(p)){h=p;break}--d}if(h===null){o=!0;break}u.push(h),c=d}o?n.push(this.unk_token):n.push(...u)}return n}},d1=vk,f1=class dx{constructor(n,r){this.is_leaf=n,this.children=r}static default(){return new dx(!1,new Map)}},yk=class{constructor(){this.root=f1.default()}extend(e){for(const n of e)this.push(n)}push(e){let n=this.root;for(const r of e){let s=n.children.get(r);s===void 0&&(s=f1.default(),n.children.set(r,s)),n=s}n.is_leaf=!0}*common_prefix_search(e){let n=this.root;if(n===void 0)return;let r="";for(const s of e){if(r+=s,n=n.children.get(s),n===void 0)return;n.is_leaf&&(yield r)}}},wk=yk,x_=class fx{constructor(n,r,s,o,c){this.token_id=n,this.node_id=r,this.pos=s,this.length=o,this.score=c,this.prev=null,this.backtrace_score=0}clone(){const n=new fx(this.token_id,this.node_id,this.pos,this.length,this.score);return n.prev=this.prev,n.backtrace_score=this.backtrace_score,n}},bk=class{constructor(e,n,r){this.chars=Array.from(e),this.len=this.chars.length,this.bos_token_id=n,this.eos_token_id=r,this.nodes=[],this.begin_nodes=Array.from({length:this.len+1},()=>[]),this.end_nodes=Array.from({length:this.len+1},()=>[]);const s=new x_(this.bos_token_id??0,0,0,0,0),o=new x_(this.eos_token_id??0,1,this.len,0,0);this.nodes.push(s.clone()),this.nodes.push(o.clone()),this.begin_nodes[this.len].push(o),this.end_nodes[0].push(s)}insert(e,n,r,s){const o=this.nodes.length,c=new x_(s,o,e,n,r);this.begin_nodes[e].push(c),this.end_nodes[e+n].push(c),this.nodes.push(c)}viterbi(){const e=this.len;let n=0;for(;n<=e;){if(this.begin_nodes[n].length==0)return[];for(let u of this.begin_nodes[n]){u.prev=null;let d=0,h=null;for(let p of this.end_nodes[n]){const g=p.backtrace_score+u.score;(h===null||g>d)&&(h=p.clone(),d=g)}if(h!==null)u.prev=h,u.backtrace_score=d;else return[]}++n}const r=[],o=this.begin_nodes[e][0].prev;if(o===null)return[];let c=o.clone();for(;c.prev!==null;)r.push(c.clone()),c=c.clone().prev.clone();return r.reverse(),r}piece(e){return this.chars.slice(e.pos,e.pos+e.length).join("")}tokens(){return this.viterbi().map(n=>this.piece(n))}token_ids(){return this.viterbi().map(n=>n.token_id)}},Mk=bk;function xk(e){if(e.length===0)throw new Error("Array must not be empty");let n=e[0],r=0;for(let s=1;s<e.length;++s)e[s]<n&&(n=e[s],r=s);return[n,r]}var Tk=class extends Dh{constructor(e,n){super(e);const r=e.vocab.length;this.vocab=new Array(r),this.scores=new Array(r);for(let s=0;s<r;++s)[this.vocab[s],this.scores[s]]=e.vocab[s];this.unk_token_id=e.unk_id,this.unk_token=this.vocab[e.unk_id],this.tokens_to_ids=new Map(this.vocab.map((s,o)=>[s,o])),this.bos_token=" ",this.bos_token_id=this.tokens_to_ids.get(this.bos_token),this.eos_token=n,this.eos_token_id=this.tokens_to_ids.get(this.eos_token),this.unk_token=this.vocab[this.unk_token_id],this.min_score=xk(this.scores)[0],this.unk_score=this.min_score-10,this.scores[this.unk_token_id]=this.unk_score,this.trie=new wk,this.trie.extend(this.vocab),this.fuse_unk=!0}populate_nodes(e){const n=e.chars,r=1;let s=0;for(;s<n.length;){let o=!1;const c=n.slice(s).join(""),u=this.trie.common_prefix_search(c);for(const d of u){const h=this.tokens_to_ids.get(d),p=this.scores[h],g=mC(d);e.insert(s,g,p,h),!o&&g===r&&(o=!0)}o||e.insert(s,r,this.unk_score,this.unk_token_id),s+=r}}tokenize(e){const n=new Mk(e,this.bos_token_id,this.eos_token_id);return this.populate_nodes(n),n.tokens()}encode(e){const n=[];for(const r of e){const s=this.tokenize(r);n.push(...s)}return n}},h1=Tk,Sk=class{constructor(e=(r,s)=>r>s,n=1/0){this._heap=[],this._comparator=e,this._max_size=n}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(const n of e)if(this.size<this._max_size)this._heap.push(n),this._sift_up();else{const r=this._smallest();this._comparator(n,this._heap[r])&&(this._heap[r]=n,this._sift_up_from(r))}return this.size}pop(){const e=this.peek(),n=this.size-1;return n>0&&this._swap(0,n),this._heap.pop(),this._sift_down(),e}replace(e){const n=this.peek();return this._heap[0]=e,this._sift_down(),n}_parent(e){return(e+1>>>1)-1}_left(e){return(e<<1)+1}_right(e){return e+1<<1}_greater(e,n){return this._comparator(this._heap[e],this._heap[n])}_swap(e,n){const r=this._heap[e];this._heap[e]=this._heap[n],this._heap[n]=r}_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.size&&this._greater(this._left(e),e)||this._right(e)<this.size&&this._greater(this._right(e),e);){const n=this._right(e)<this.size&&this._greater(this._right(e),this._left(e))?this._right(e):this._left(e);this._swap(e,n),e=n}}_smallest(){return 2**Math.floor(Math.log2(this.size))-1}},Ek=Sk,Ak=class{constructor(e){this.capacity=e,this.cache=new Map}get(e){if(!this.cache.has(e))return;const n=this.cache.get(e);return this.cache.delete(e),this.cache.set(e,n),n}put(e,n){this.cache.has(e)&&this.cache.delete(e),this.cache.set(e,n),this.cache.size>this.capacity&&this.cache.delete(this.cache.keys().next().value)}clear(){this.cache.clear()}},Ck=Ak,kk=class extends Dh{constructor(e){super(e),this.tokens_to_ids=Xg(e.vocab),this.unk_token_id=this.tokens_to_ids.get(e.unk_token),this.unk_token=e.unk_token,this.vocab=new Array(this.tokens_to_ids.size);for(const[r,s]of this.tokens_to_ids)this.vocab[s]=r;const n=Array.isArray(e.merges[0]);this.merges=n?e.merges:e.merges.map(r=>r.split(" ",2)),this.bpe_ranks=new Map(this.merges.map((r,s)=>[JSON.stringify(r),s])),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 Ck(this.cache_capacity)}clear_cache(){this.cache.clear()}bpe(e){if(e.length===0)return[];const n=this.cache.get(e);if(n!==void 0)return n;const r=Array.from(e);this.end_of_word_suffix&&(r[r.length-1]+=this.end_of_word_suffix);let s=[];if(r.length>1){const o=new Ek((d,h)=>d.score<h.score);let c={token:r[0],bias:0,prev:null,next:null},u=c;for(let d=1;d<r.length;++d){const h={bias:d/r.length,token:r[d],prev:u,next:null};u.next=h,this.add_node(o,u),u=h}for(;!o.is_empty();){const d=o.pop();if(d.deleted||!d.next||d.next.deleted)continue;if(d.deleted=!0,d.next.deleted=!0,d.prev){const p={...d.prev};d.prev.deleted=!0,d.prev=p,p.prev?p.prev.next=p:c=p}const h={token:d.token+d.next.token,bias:d.bias,prev:d.prev,next:d.next.next};h.prev?(h.prev.next=h,this.add_node(o,h.prev)):c=h,h.next&&(h.next.prev=h,this.add_node(o,h))}for(let d=c;d!==null;d=d.next)s.push(d.token)}else s=r;if(this.continuing_subword_suffix)for(let o=0;o<s.length-1;++o)s[o]+=this.continuing_subword_suffix;return e.length<this.max_length_to_cache&&this.cache.put(e,s),s}add_node(e,n){const r=this.bpe_ranks.get(JSON.stringify([n.token,n.next.token]));r!==void 0&&(n.score=r+n.bias,e.push(n))}encode(e){const n=[];for(const r of e){if(this.ignore_merges&&this.tokens_to_ids.has(r)){n.push(r);continue}const s=this.bpe(r);for(const o of s)if(this.tokens_to_ids.has(o))n.push(o);else if(this.byte_fallback){const c=Array.from(this.text_encoder.encode(o)).map(u=>`<0x${u.toString(16).toUpperCase().padStart(2,"0")}>`);c.every(u=>this.tokens_to_ids.has(u))?n.push(...c):n.push(this.unk_token)}else n.push(this.unk_token)}return n}},p1=kk,Ok=class extends Dh{constructor(e,n){super(e);const r=e.vocab;this.tokens_to_ids=Xg(n.target_lang?r[n.target_lang]:r),this.bos_token=n.bos_token,this.bos_token_id=this.tokens_to_ids.get(this.bos_token),this.eos_token=n.eos_token,this.eos_token_id=this.tokens_to_ids.get(this.eos_token),this.pad_token=n.pad_token,this.pad_token_id=this.tokens_to_ids.get(this.pad_token),this.unk_token=n.unk_token,this.unk_token_id=this.tokens_to_ids.get(this.unk_token),this.vocab=new Array(this.tokens_to_ids.size);for(const[s,o]of this.tokens_to_ids)this.vocab[o]=s}encode(e){return e}},zk=Ok;function Lk(e,n){switch(e.type){case"WordPiece":return new d1(e);case"Unigram":return new h1(e,n.eos_token);case"BPE":return new p1(e);default:if(e.vocab)return Array.isArray(e.vocab)?new h1(e,n.eos_token):Object.hasOwn(e,"continuing_subword_prefix")&&Object.hasOwn(e,"unk_token")?Object.hasOwn(e,"merges")?new p1(e):new d1(e):new zk(e,{target_lang:n.target_lang,bos_token:n.bos_token,eos_token:n.eos_token,pad_token:n.pad_token,unk_token:n.unk_token});throw new Error(`Unknown TokenizerModel type: ${e==null?void 0:e.type}`)}}var Nk=Lk,Dk=class extends Wu{constructor(e){super(),this.config=e}_call(e,...n){return this.post_process(e,...n)}},Zu=Dk,Fk=class extends Zu{post_process(e,n=null,r=!0){const s=n===null?this.config.single:this.config.pair;let o=[],c=[];for(const u of s)"SpecialToken"in u?r&&(o.push(u.SpecialToken.id),c.push(u.SpecialToken.type_id)):"Sequence"in u&&(u.Sequence.id==="A"?(o=sr(o,e),c=sr(c,new Array(e.length).fill(u.Sequence.type_id))):u.Sequence.id==="B"&&(o=sr(o,n),c=sr(c,new Array(n.length).fill(u.Sequence.type_id))));return{tokens:o,token_type_ids:c}}},Bk=Fk,Pk=class extends Zu{post_process(e,n=null){return{tokens:e,tokens_pair:n}}},Rk=Pk,Uk=class extends Zu{constructor(e){super(e),this.sep=e.sep,this.cls=e.cls}post_process(e,n=null,r=!0){r&&(e=sr([this.cls[0]],e,[this.sep[0]]));let s=new Array(e.length).fill(0);if(n){const o=[],c=r?[this.sep[0]]:[];e=sr(e,o,n,c),s=sr(s,new Array(n.length+o.length+c.length).fill(1))}return{tokens:e,token_type_ids:s}}},Gk=Uk,Ik=class extends Zu{constructor(e){super(e),this.sep=e.sep,this.cls=e.cls}post_process(e,n,r=!0){r&&(e=sr([this.cls[0]],e,[this.sep[0]]));let s=new Array(e.length).fill(0);if(n){const o=r?[this.sep[0]]:[],c=r?[this.sep[0]]:[];e=sr(e,o,n,c),s=sr(s,new Array(n.length+o.length+c.length).fill(1))}return{tokens:e,token_type_ids:s}}},jk=Ik,Vk=class extends Zu{constructor(e){super(e),this.processors=(e.processors??[]).map(n=>hx(n))}post_process(e,n=null,r=!0){let s={tokens:e,tokens_pair:n};for(const o of this.processors)s=o.post_process(s.tokens,s.tokens_pair,r);return s}},qk=Vk;function $k(e){if(e===null)return null;switch(e.type){case"TemplateProcessing":return new Bk(e);case"ByteLevel":return new Rk(e);case"BertProcessing":return new Gk(e);case"RobertaProcessing":return new jk(e);case"Sequence":return new qk(e);default:throw new Error(`Unknown PostProcessor type: ${e.type}`)}}var hx=$k,Hk=class extends Wu{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("")}},cr=Hk,Yk=class extends cr{constructor(e){super(e),this.byte_decoder=cC,this.text_decoder=new TextDecoder("utf-8",{fatal:!1,ignoreBOM:!0}),this.end_of_word_suffix=null}convert_tokens_to_string(e){const n=e.join(""),r=new Uint8Array([...n].map(s=>this.byte_decoder[s]));return this.text_decoder.decode(r)}decode_chain(e){const n=[];let r=[];for(const s of e)this.added_tokens.find(o=>o.content===s)!==void 0?(r.length>0&&(n.push(this.convert_tokens_to_string(r)),r=[]),n.push(s)):r.push(s);return r.length>0&&n.push(this.convert_tokens_to_string(r)),n}},Xk=Yk,Qk=class extends cr{constructor(e){super(e),this.cleanup=e.cleanup}decode_chain(e){return e.map((n,r)=>{if(r!==0){const s=this.config.prefix;s&&n.startsWith(s)?n=n.replace(s,""):n=" "+n}return this.cleanup&&(n=Yg(n)),n})}},Wk=Qk,Zk=class extends cr{constructor(e){super(e),this.replacement=e.replacement??"▁"}decode_chain(e){const n=[];for(let r=0;r<e.length;++r){let s=e[r].replaceAll(this.replacement," ");r==0&&s.startsWith(" ")&&(s=s.substring(1)),n.push(s)}return n}},Kk=Zk,Jk=class extends cr{constructor(e){super(e),this.suffix=e.suffix??""}decode_chain(e){return e.map((n,r)=>n.replaceAll(this.suffix,r===e.length-1?"":" "))}},eO=Jk,tO=class extends cr{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"";const n=[e[0]];for(let o=1;o<e.length;++o)e[o]!==n.at(-1)&&n.push(e[o]);let s=n.filter(o=>o!==this.pad_token).join("");return this.cleanup&&(s=Yg(s).replaceAll(this.word_delimiter_token," ").trim()),s}decode_chain(e){return[this.convert_tokens_to_string(e)]}},nO=tO,aO=class extends cr{constructor(e){super(e),this.decoders=(e.decoders??[]).map(n=>px(n))}decode_chain(e){return this.decoders.reduce((n,r)=>r.decode_chain(n),e)}},rO=aO,sO=class extends cr{decode_chain(e){const n=Lh(this.config.pattern),r=this.config.content??"";return n===null?e:e.map(s=>s.replaceAll(n,r))}},iO=sO,oO=class extends cr{decode_chain(e){return[e.join("")]}},lO=oO,cO=class extends cr{constructor(e){super(e),this.content=e.content??"",this.start=e.start??0,this.stop=e.stop??0}decode_chain(e){return e.map(n=>{let r=0;for(let o=0;o<this.start&&n[o]===this.content;++o){r=o+1;continue}let s=n.length;for(let o=0;o<this.stop;++o){const c=n.length-o-1;if(n[c]===this.content){s=c;continue}else break}return n.slice(r,s)})}},uO=cO,dO=class extends cr{constructor(e){super(e),this.text_decoder=new TextDecoder}decode_chain(e){const n=[];let r=[];for(const s of e){let o=null;if(s.length===6&&s.startsWith("<0x")&&s.endsWith(">")){const c=parseInt(s.slice(3,5),16);isNaN(c)||(o=c)}if(o!==null)r.push(o);else{if(r.length>0){const c=this.text_decoder.decode(Uint8Array.from(r));n.push(c),r=[]}n.push(s)}}if(r.length>0){const s=this.text_decoder.decode(Uint8Array.from(r));n.push(s),r=[]}return n}},fO=dO;function hO(e){if(e===null)return null;switch(e.type){case"ByteLevel":return new Xk(e);case"WordPiece":return new Wk(e);case"Metaspace":return new Kk(e);case"BPEDecoder":return new eO(e);case"CTC":return new nO(e);case"Sequence":return new rO(e);case"Replace":return new iO(e);case"Fuse":return new lO(e);case"Strip":return new uO(e);case"ByteFallback":return new fO(e);default:throw new Error(`Unknown Decoder type: ${e.type}`)}}var px=hO,pO=class{constructor(e,n){const r=u1(e,"Tokenizer",["model","decoder","post_processor","pre_tokenizer","normalizer"]);if(r)throw new Error(r);const s=u1(n,"Config");if(s)throw new Error(s);this.tokenizer=e,this.config=n,this.normalizer=cx(this.tokenizer.normalizer),this.pre_tokenizer=ux(this.tokenizer.pre_tokenizer),this.model=Nk(this.tokenizer.model,this.config),this.post_processor=hx(this.tokenizer.post_processor),this.decoder=px(this.tokenizer.decoder),this.special_tokens=[],this.all_special_ids=[],this.added_tokens=[];const o=[],c=[];this.added_tokens_map=new Map;for(const u of this.tokenizer.added_tokens){const d=new oC(u);if(this.added_tokens.push(d),this.model.tokens_to_ids.set(d.content,d.id),this.model.vocab[d.id]=d.content,d.special&&(this.special_tokens.push(d.content),this.all_special_ids.push(d.id)),this.added_tokens_map.set(d.content,d),d.normalized&&this.normalizer!==null){const h=this.normalizer(d.content);c.push(h),this.added_tokens_map.set(h,d)}else o.push(d.content)}(this.config.additional_special_tokens??[]).forEach(u=>{this.special_tokens.includes(u)||this.special_tokens.push(u)}),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 l1(o),this.splitter_normalized=new l1(c),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:n=null,add_special_tokens:r=!0,return_token_type_ids:s=null}={}){const{tokens:o,token_type_ids:c}=this.tokenize_helper(e,{text_pair:n,add_special_tokens:r}),u=o.map(h=>{var p;return((p=this.added_tokens_map.get(h))==null?void 0:p.id)??this.model.tokens_to_ids.get(h)??this.model.unk_token_id}),d={ids:u,tokens:o,attention_mask:new Array(u.length).fill(1)};return s&&c&&(d.token_type_ids=c),d}decode(e,n={}){if(!Array.isArray(e)||e.length===0||!pC(e[0]))throw Error("token_ids must be a non-empty array of integers.");let r=e.map(o=>this.model.vocab[Number(o)]??this.model.unk_token);n.skip_special_tokens&&(r=r.filter(o=>!this.special_tokens.includes(o)));let s=this.decoder?this.decoder(r):r.join(" ");return this.decoder&&this.decoder.end_of_word_suffix&&(s=s.replaceAll(this.decoder.end_of_word_suffix," "),n.skip_special_tokens&&(s=s.trim())),(n.clean_up_tokenization_spaces??this.clean_up_tokenization_spaces)&&(s=Yg(s)),s}tokenize(e,{text_pair:n=null,add_special_tokens:r=!1}={}){return this.tokenize_helper(e,{text_pair:n,add_special_tokens:r}).tokens}encode_text(e){if(e===null)return null;const n=this.splitter_unnormalized.split(e);return n.forEach((r,s)=>{const o=this.added_tokens_map.get(r);o&&(o.lstrip&&s>0&&(n[s-1]=n[s-1].trimEnd()),o.rstrip&&s<n.length-1&&(n[s+1]=n[s+1].trimStart()))}),n.flatMap((r,s)=>{if(r.length===0)return[];if(this.added_tokens_map.has(r))return[r];if(this.remove_space===!0&&(r=r.trim().split(/\s+/).join(" ")),this.do_lowercase_and_remove_accent&&(r=_C(r)),this.normalizer!==null&&(r=this.normalizer(r)),r.length===0)return[];const o=this.splitter_normalized.split(r);return o.forEach((c,u)=>{const d=this.added_tokens_map.get(c);d&&(d.lstrip&&u>0&&(o[u-1]=o[u-1].trimEnd()),d.rstrip&&u<o.length-1&&(o[u+1]=o[u+1].trimStart()))}),o.flatMap(c=>{if(c.length===0)return[];if(this.added_tokens_map.has(c))return[c];const u=this.pre_tokenizer!==null?this.pre_tokenizer(c,{section_index:s}):[c];return this.model(u)})})}tokenize_helper(e,{text_pair:n=null,add_special_tokens:r=!0}){const s=this.encode_text(e),o=this.encode_text(n||null);return this.post_processor?this.post_processor(s,o,r):{tokens:sr(s??[],o??[])}}token_to_id(e){return this.model.tokens_to_ids.get(e)}id_to_token(e){return this.model.vocab[e]}get_added_tokens_decoder(){const e=new Map;for(const n of this.added_tokens)e.set(n.id,n);return e}get_vocab(e=!0){const n=new Map;for(let r=0;r<this.model.vocab.length;++r){const s=this.model.vocab[r];(e||!this.added_tokens_map.has(s))&&n.set(s,r)}return n}},mO=pO,se=Object.freeze({Text:"Text",NumericLiteral:"NumericLiteral",StringLiteral:"StringLiteral",Identifier:"Identifier",Equals:"Equals",OpenParen:"OpenParen",CloseParen:"CloseParen",OpenStatement:"OpenStatement",CloseStatement:"CloseStatement",OpenExpression:"OpenExpression",CloseExpression:"CloseExpression",OpenSquareBracket:"OpenSquareBracket",CloseSquareBracket:"CloseSquareBracket",OpenCurlyBracket:"OpenCurlyBracket",CloseCurlyBracket:"CloseCurlyBracket",Comma:"Comma",Dot:"Dot",Colon:"Colon",Pipe:"Pipe",CallOperator:"CallOperator",AdditiveBinaryOperator:"AdditiveBinaryOperator",MultiplicativeBinaryOperator:"MultiplicativeBinaryOperator",ComparisonBinaryOperator:"ComparisonBinaryOperator",UnaryOperator:"UnaryOperator",Comment:"Comment"}),Da=class{constructor(e,n){this.value=e,this.type=n}};function m1(e){return/\w/.test(e)}function Ou(e){return/[0-9]/.test(e)}function _1(e){return/\s/.test(e)}var 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for(d=0,h=0;d<s;d+=u,++h){const w=p[h];this._singleRealTransform4(n,e,d,w>>>1,c>>>1,r)}const g=this.table;for(c>>=2;c>=2;c>>=2){u=s/c<<1;const w=u>>>1,b=w>>>1,S=b>>>1;for(d=0;d<s;d+=u)for(let E=0,O=0;E<=S;E+=2,O+=c){const z=d+E,D=z+b,P=D+b,j=P+b,I=e[z],K=e[z+1],k=e[D],ce=e[D+1],oe=e[P],pe=e[P+1],_e=e[j],me=e[j+1],ne=I,ee=K,Me=g[O],V=r*g[O+1],W=k*Me-ce*V,G=k*V+ce*Me,R=g[2*O],te=r*g[2*O+1],F=oe*R-pe*te,H=oe*te+pe*R,ue=g[3*O],de=r*g[3*O+1],be=_e*ue-me*de,Oe=_e*de+me*ue,Ne=ne+F,rt=ee+H,We=ne-F,mt=ee-H,Ot=W+be,Ue=G+Oe,ze=r*(W-be),Xe=r*(G-Oe);if(e[z]=Ne+Ot,e[z+1]=rt+Ue,e[D]=We+Xe,e[D+1]=mt-ze,E===0){e[P]=Ne-Ot,e[P+1]=rt-Ue;continue}if(E===S)continue;const Xt=d+b-E,Ut=d+w-E;e[Xt]=We-r*Xe,e[Xt+1]=-mt-r*ze,e[Ut]=Ne-r*Ot,e[Ut+1]=-rt+r*Ue}}const y=s>>>1;for(let w=2;w<y;w+=2)e[s-w]=e[w],e[s-w+1]=-e[w+1]}_singleRealTransform2(e,n,r,s,o){const c=e[s],u=e[s+o];n[r]=c+u,n[r+1]=0,n[r+2]=c-u,n[r+3]=0}_singleRealTransform4(e,n,r,s,o,c){const u=o*2,d=o*3,h=e[s],p=e[s+o],g=e[s+u],y=e[s+d],w=h+g,b=h-g,S=p+y,E=c*(p-y);n[r]=w+S,n[r+1]=0,n[r+2]=b,n[r+3]=-E,n[r+4]=w-S,n[r+5]=0,n[r+6]=b,n[r+7]=E}},C3=class{constructor(e){const n=2*(e-1),r=2*(2*e-1),s=2**Math.ceil(Math.log2(r));this.bufferSize=s,this._a=n;const o=new Float64Array(r),c=new Float64Array(s);this._chirpBuffer=new Float64Array(s),this._buffer1=new Float64Array(s),this._buffer2=new Float64Array(s),this._outBuffer1=new Float64Array(s),this._outBuffer2=new Float64Array(s);const u=-2*Math.PI/e,d=Math.cos(u),h=Math.sin(u);for(let p=0;p<r>>1;++p){const g=(p+1-e)**2/2,y=Math.sqrt(d**2+h**2)**g,w=g*Math.atan2(h,d),b=2*p;o[b]=y*Math.cos(w),o[b+1]=y*Math.sin(w),c[b]=o[b],c[b+1]=-o[b+1]}this._slicedChirpBuffer=o.subarray(n,r),this._f=new wx(s>>1),this._f.transform(this._chirpBuffer,c)}_transform(e,n,r){const s=this._buffer1,o=this._buffer2,c=this._outBuffer1,u=this._outBuffer2,d=this._chirpBuffer,h=this._slicedChirpBuffer,p=this._a;if(r)for(let g=0;g<h.length;g+=2){const y=g+1,w=g>>1,b=n[w];s[g]=b*h[g],s[y]=b*h[y]}else for(let g=0;g<h.length;g+=2){const y=g+1;s[g]=n[g]*h[g]-n[y]*h[y],s[y]=n[g]*h[y]+n[y]*h[g]}this._f.transform(c,s);for(let g=0;g<d.length;g+=2){const y=g+1;o[g]=c[g]*d[g]-c[y]*d[y],o[y]=c[g]*d[y]+c[y]*d[g]}this._f.inverseTransform(u,o);for(let g=0;g<u.length;g+=2){const y=u[g+p],w=u[g+p+1],b=h[g],S=h[g+1];e[g]=y*b-w*S,e[g+1]=y*S+w*b}}transform(e,n){this._transform(e,n,!1)}realTransform(e,n){this._transform(e,n,!0)}},k3=class{constructor(e){this.fft_length=e,this.isPowerOfTwo=yx(e),this.isPowerOfTwo?(this.fft=new wx(e),this.outputBufferSize=2*e):(this.fft=new C3(e),this.outputBufferSize=this.fft.bufferSize)}realTransform(e,n){this.fft.realTransform(e,n)}transform(e,n){this.fft.transform(e,n)}};function O3(e,n){if(n%2===0||n<=0)throw new Error("Window size must be a positive odd number");const r=new e.constructor(e.length),s=new e.constructor(n),o=Math.floor(n/2);for(let c=0;c<e.length;++c){let u=0;for(let d=-o;d<=o;++d){let h=c+d;h<0?h=Math.abs(h):h>=e.length&&(h=2*(e.length-1)-h),s[u++]=e[h]}s.sort(),r[c]=s[o]}return r}function ju(e,n){const r=Math.pow(10,n);return Math.round(e*r)/r}function z3(e){const n=Math.round(e);return Math.abs(e)%1===.5?n%2===0?n:n-1:n}function L3(e){const n=e.length,r=e[0].length,s=[n+1,r+1],o=Array.from({length:s[0]},()=>Array(s[1]).fill(1/0));o[0][0]=0;const c=Array.from({length:s[0]},()=>Array(s[1]).fill(-1));for(let g=1;g<s[1];++g)for(let y=1;y<s[0];++y){const w=o[y-1][g-1],b=o[y-1][g],S=o[y][g-1];let E,O;w<b&&w<S?(E=w,O=0):b<w&&b<S?(E=b,O=1):(E=S,O=2),o[y][g]=e[y-1][g-1]+E,c[y][g]=O}for(let g=0;g<s[1];++g)c[0][g]=2;for(let g=0;g<s[0];++g)c[g][0]=1;let u=n,d=r,h=[],p=[];for(;u>0||d>0;)switch(h.push(u-1),p.push(d-1),c[u][d]){case 0:--u,--d;break;case 1:--u;break;case 2:--d;break;default:throw new Error(`Internal error in dynamic time warping. Unexpected trace[${u}, ${d}]. Please file a bug report.`)}return h.reverse(),p.reverse(),[h,p]}var N3=(function(){let e=null;return function(n){if(!e){e=new Float32Array(65536);const c=new ArrayBuffer(4),u=new Uint32Array(c),d=new Float32Array(c);for(let h=0;h<e.length;++h){let p=0;const g=(h&32768)<<16,y=(h&31744)>>10;let w=h&1023;if(y===31)p=g|2139095040|w<<13;else if(y===0)if(w===0)p=g;else{let b=113;for(;(w&1024)===0;)w<<=1,--b;w&=-1025,p=g|b<<23|w<<13}else p=g|y+112<<23|w<<13;u[0]=p,e[h]=d[0]}}const r=n.length,s=e,o=new Float32Array(r);for(let c=0;c<r;++c)o[c]=s[n[c]];return o}})(),bx={};Ol(bx,{Readable:()=>B3,createReadStream:()=>U3,createWriteStream:()=>R3,default:()=>F3,pipeline:()=>P3});var Fh=()=>{},D3={},F3=D3,B3={fromWeb:Fh},P3=Fh,R3=Fh,U3=Fh;async function Mx(e){const n=e.split("/").pop();let r;try{if(r=await gx(),r){const o=await r.match(e);if(o)return o}}catch(o){qe.warn(`Failed to load ${n} from cache:`,o)}const s=await fetch(e);if(!s.ok)throw new Error(`Failed to fetch ${n}: ${s.status} ${s.statusText}`);if(r)try{await r.put(e,s.clone())}catch(o){qe.warn(`Failed to cache ${n}:`,o)}return s}async function G3(e){const n=await Mx(e);if(!n||typeof n=="string")return null;try{return await n.arrayBuffer()}catch(r){return qe.warn("Failed to read WASM binary:",r),null}}async function I3(e){const n=await Mx(e);if(!n||typeof n=="string")return null;try{let r=await n.text();const s=e.split("/").slice(0,-1).join("/");r=r.replace(/import\.meta\.url/g,`"${s}"`);const o=new Blob([r],{type:"text/javascript"});return URL.createObjectURL(o)}catch(r){return qe.warn("Failed to read WASM binary:",r),null}}function k1(e){return Mh(e,["blob:"])}function O1(e){let n;if(typeof location<"u"&&location.href)n=location.href;else if(typeof import.meta<"u"&&import.meta.url)n=import.meta.url;else return e;return new URL(e,n).href}var j3=Object.freeze({auto:null,gpu:null,cpu:"cpu",wasm:"wasm",webgpu:"webgpu",cuda:"cuda",dml:"dml",coreml:"coreml",webnn:{name:"webnn",deviceType:"cpu"},"webnn-npu":{name:"webnn",deviceType:"npu"},"webnn-gpu":{name:"webnn",deviceType:"gpu"},"webnn-cpu":{name:"webnn",deviceType:"cpu"}});function xx(e){return Math.min(Math.max(Math.floor(e/10)-1,0),4)}var V3={0:"verbose",1:"info",2:"warning",3:"error",4:"fatal"},Fa=[],yg,ci,z1=Symbol.for("onnxruntime");if(z1 in globalThis)ci=globalThis[z1];else if(Ct.IS_NODE_ENV){switch(ci=bx,process.platform){case"win32":Fa.push("dml");break;case"linux":process.arch==="x64"&&Fa.push("cuda");break;case"darwin":Fa.push("coreml");break}Fa.push("webgpu"),Fa.push("cpu"),yg=["cpu"]}else ci=NA,Ct.IS_WEBNN_AVAILABLE&&Fa.push("webnn-npu","webnn-gpu","webnn-cpu","webnn"),Ct.IS_WEBGPU_AVAILABLE&&Fa.push("webgpu"),Fa.push("wasm"),yg=["wasm"];var q3=ci.InferenceSession;function $3(e=null){if(!e)return yg;switch(e){case"auto":return Fa;case"gpu":return Fa.filter(n=>["webgpu","cuda","dml","webnn-gpu"].includes(n))}if(Fa.includes(e))return[j3[e]??e];throw new Error(`Unsupported device: "${e}". Should be one of: ${Fa.join(", ")}.`)}var Tx=Ct.IS_BROWSER_ENV||Ct.IS_WEBWORKER_ENV,L1=Promise.resolve(),yl=null;async function H3(){var n,r,s,o,c;return yl||(on.useWasmCache&&typeof((n=wt==null?void 0:wt.wasm)==null?void 0:n.wasmPaths)=="object"&&((s=(r=wt==null?void 0:wt.wasm)==null?void 0:r.wasmPaths)==null?void 0:s.wasm)&&((c=(o=wt==null?void 0:wt.wasm)==null?void 0:o.wasmPaths)==null?void 0:c.mjs)?(yl=(async()=>{const u=wt.wasm.wasmPaths;await Promise.all([u.wasm&&!k1(u.wasm)?(async()=>{try{const d=await G3(O1(u.wasm));d&&(wt.wasm.wasmBinary=d)}catch(d){qe.warn("Failed to pre-load WASM binary:",d)}})():Promise.resolve(),u.mjs&&!k1(u.mjs)?(async()=>{try{const d=await I3(O1(u.mjs));d&&(wt.wasm.wasmPaths.mjs=d)}catch(d){qe.warn("Failed to pre-load WASM factory:",d)}})():Promise.resolve()])})(),yl):(yl=Promise.resolve(),yl))}async function Sx(e,n,r){await H3();const s=()=>q3.create(e,{logSeverityLevel:xx(on.logLevel??Ji.WARNING),...n}),o=await(Tx?L1=L1.then(s):s());return o.config=r,o}var N1=Promise.resolve();async function Ex(e,n){const r=()=>e.run(n);return await(Tx?N1=N1.then(r):r())}function Ax(e){return e instanceof ci.Tensor}var wt=ci==null?void 0:ci.env;wt.logLevel=V3[xx(on.logLevel??Ji.WARNING)];var sM;if(wt!=null&&wt.wasm){if(!(typeof ServiceWorkerGlobalScope<"u"&&self instanceof ServiceWorkerGlobalScope)&&((sM=wt.versions)!=null&&sM.web)&&!wt.wasm.wasmPaths){const e=`https://cdn.jsdelivr.net/npm/onnxruntime-web@${wt.versions.web}/dist/`;wt.wasm.wasmPaths=Ct.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`}}wt.wasm.proxy=!1}wt!=null&&wt.webgpu&&(wt.webgpu.powerPreference="high-performance");function Qg(){var e;return(e=wt==null?void 0:wt.wasm)==null?void 0:e.proxy}on.backends.onnx=wt;var si=async(e,n,r)=>{const s=await Sx(new Uint8Array(e),n);return(async o=>{const c=Qg(),u=Object.fromEntries(Object.entries(o).map(([h,p])=>[h,(c?p.clone():p).ort_tensor])),d=await Ex(s,u);return Array.isArray(r)?r.map(h=>new we(d[h])):new we(d[r])})},z_,El=(z_=class{static get nearest_interpolate_4d(){return this._nearest_interpolate_4d||(this._nearest_interpolate_4d=si([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||(this._bilinear_interpolate_4d=si([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||(this._bicubic_interpolate_4d=si([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||(this._matmul=si([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||(this._stft=si([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||(this._rfft=si([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||(this._top_k=si([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||(this._slice=si([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}},L(z_,"session_options",{}),z_),Y3=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"}),X3=(function(){let e;return async function(){if(e===void 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n=(c,u)=>Math.imul(c,u)>>>0,r=[];for(let c=e||0;c>0;c=Math.floor(c/4294967296))r.push(c&4294967295);for(r.length||r.push(0),Ht[0]=19650218,nr=1;nr<624;++nr)Ht[nr]=n(1812433253,Ht[nr-1]^Ht[nr-1]>>>30)+nr>>>0;let s=1,o=0;for(let c=Math.max(624,r.length);c>0;--c,++s,++o)s>=624&&(Ht[0]=Ht[623],s=1),o>=r.length&&(o=0),Ht[s]=(Ht[s]^n(Ht[s-1]^Ht[s-1]>>>30,1664525))+r[o]+o>>>0;for(let c=623;c>0;--c,++s)s>=624&&(Ht[0]=Ht[623],s=1),Ht[s]=(Ht[s]^n(Ht[s-1]^Ht[s-1]>>>30,1566083941))-s>>>0;Ht[0]=2147483648,nr=624,dh=null}function B1(){if(nr>=624){for(let n=0;n<624;++n){const r=Ht[n]&2147483648|Ht[(n+1)%624]&2147483647;Ht[n]=(Ht[(n+397)%624]^r>>>1^(r&1?2567483615:0))>>>0}nr=0}let e=Ht[nr++];return e^=e>>>11,e^=e<<7&2636928640,e^=e<<15&4022730752,e^=e>>>18,e>>>0}function Eh(){return((B1()>>>5)*67108864+(B1()>>>6))/9007199254740992}function W3(e=0,n=1){let r=dh;if(dh=null,r===null){const s=Eh()*2*Math.PI,o=Math.sqrt(-2*Math.log(1-Eh()));r=Math.cos(s)*o,dh=Math.sin(s)*o}return e+r*n}function Z3(e){let n=0;for(let s=0;s<e.length;++s)n+=e[s];let r=Eh()*n;for(let s=0;s<e.length;++s)if(r-=e[s],r<0)return s;return e.length-1}Q3();var we=class qt{constructor(...n){L(this,"ort_tensor");return Ax(n[0])?this.ort_tensor=n[0]:this.ort_tensor=new qA(n[0],n[1],n[2]),new Proxy(this,{get:(r,s)=>{if(typeof s=="string"){let o=Number(s);if(Number.isInteger(o))return r._getitem(o)}return r[s]},set:(r,s,o)=>r[s]=o})}get dims(){return this.ort_tensor.dims}set dims(n){this.ort_tensor.dims=n}get type(){return this.ort_tensor.type}get data(){return this.ort_tensor.data}get size(){return this.ort_tensor.size}get location(){return this.ort_tensor.location}dispose(){this.ort_tensor.dispose()}*[Symbol.iterator](){const[n,...r]=this.dims;if(r.length>0){const s=r.reduce((o,c)=>o*c);for(let o=0;o<n;++o)yield this._subarray(o,s,r)}else yield*this.data}_getitem(n){const[r,...s]=this.dims;if(n=Nr(n,r),s.length>0){const o=s.reduce((c,u)=>c*u);return this._subarray(n,o,s)}else return new qt(this.type,[this.data[n]],s)}indexOf(n){const r=this.data;for(let s=0;s<r.length;++s)if(r[s]==n)return s;return-1}_subarray(n,r,s){const o=n*r,c=(n+1)*r,u="subarray"in this.data?this.data.subarray(o,c):this.data.slice(o,c);return new qt(this.type,u,s)}item(){const n=this.data;if(n.length!==1)throw new Error(`a Tensor with ${n.length} elements cannot be converted to Scalar`);return n[0]}tolist(){return K3(this.data,this.dims)}sigmoid(){return this.clone().sigmoid_()}sigmoid_(){const n=this.data;for(let r=0;r<n.length;++r)n[r]=1/(1+Math.exp(-n[r]));return this}map(n){return this.clone().map_(n)}map_(n){const r=this.data;for(let s=0;s<r.length;++s)r[s]=n(r[s],s,r);return this}mul(n){return this.clone().mul_(n)}mul_(n){const r=this.data;for(let s=0;s<r.length;++s)r[s]*=n;return this}div(n){return this.clone().div_(n)}div_(n){const r=this.data;for(let s=0;s<r.length;++s)r[s]/=n;return this}add(n){return this.clone().add_(n)}add_(n){const r=this.data;for(let s=0;s<r.length;++s)r[s]+=n;return this}sub(n){return this.clone().sub_(n)}sub_(n){const r=this.data;for(let s=0;s<r.length;++s)r[s]-=n;return this}clone(){return new qt(this.type,this.data.slice(),this.dims.slice())}slice(...n){const r=[],s=[];for(let g=0;g<this.dims.length;++g){let y=n[g];if(y==null)s.push([0,this.dims[g]]),r.push(this.dims[g]);else if(typeof y=="number")y=Nr(y,this.dims[g],g),s.push([y,y+1]);else if(Array.isArray(y)&&y.length===2){let[w,b]=y;if(w=w===null?0:Nr(w,this.dims[g],g,!1),b=b===null?this.dims[g]:Nr(b,this.dims[g],g,!1),w>b)throw new Error(`Invalid slice: ${y}`);const S=[Math.max(w,0),Math.min(b,this.dims[g])];s.push(S),r.push(S[1]-S[0])}else throw new Error(`Invalid slice: ${y}`)}const o=s.map(([g,y])=>y-g),c=o.reduce((g,y)=>g*y),u=this.data,d=new u.constructor(c),h=this.stride();let p=!0;for(let g=1;g<o.length;++g)if(s[g][0]!==0||s[g][1]!==this.dims[g]){p=!1;break}if(p){const g=s[0][0]*h[0],y=s[0][1]*h[0];if(ArrayBuffer.isView(u))d.set(u.subarray(g,y));else if(Array.isArray(u)){const w=u.slice(g,y);for(let b=0;b<w.length;++b)d[b]=w[b]}else throw new Error("Unsupported data type for slicing")}else for(let g=0;g<c;++g){let y=0;for(let w=o.length-1,b=g;w>=0;--w){const S=o[w];y+=(b%S+s[w][0])*h[w],b=Math.floor(b/S)}d[g]=u[y]}return new qt(this.type,d,r)}permute(...n){return J3(this,n)}transpose(...n){return this.permute(...n)}sum(n=null,r=!1){return this.norm(1,n,r)}norm(n="fro",r=null,s=!1){if(n==="fro")n=2;else if(typeof n=="string")throw Error(`Unsupported norm: ${n}`);const o=this.data,c=(p,g)=>p+g**n;if(r===null){const p=o.reduce(c,0)**(1/n);return new qt(this.type,[p],[])}const[u,d,h]=Hu(c,this,r,s);if(n!==1)for(let p=0;p<d.length;++p)d[p]=d[p]**(1/n);return new qt(u,d,h)}normalize_(n=2,r=1){r=Nr(r,this.dims.length);const s=this.norm(n,r,!0),o=this.data,c=s.data;for(let u=0;u<o.length;++u){let d=0;for(let h=this.dims.length-1,p=u,g=1;h>=0;--h){const y=this.dims[h];if(h!==r){const 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r=new Uint8Array(this.data.length),s=this.data;for(let o=0;o<s.length;++o)r[o]=s[o]>n?1:0;return new qt("bool",r,this.dims)}lt(n){const r=new Uint8Array(this.data.length),s=this.data;for(let o=0;o<s.length;++o)r[o]=s[o]<n?1:0;return new qt("bool",r,this.dims)}clamp_(n,r){const s=this.data;for(let o=0;o<s.length;++o)s[o]=Math.min(Math.max(s[o],n),r);return this}clamp(n,r){return this.clone().clamp_(n,r)}round_(){const n=this.data;for(let r=0;r<n.length;++r)n[r]=Math.round(n[r]);return this}round(){return this.clone().round_()}mean(n=null,r=!1){return Wg(this,n,r)}min(n=null,r=!1){if(n===null){const u=vg(this.data)[0];return new qt(this.type,[u],[])}const[s,o,c]=Hu((u,d)=>Math.min(u,d),this,n,r,1/0);return new qt(s,o,c)}max(n=null,r=!1){if(n===null){const u=Zt(this.data)[0];return new qt(this.type,[u],[])}const[s,o,c]=Hu((u,d)=>Math.max(u,d),this,n,r,-1/0);return new qt(s,o,c)}argmin(n=null,r=!1){if(n!==null)throw new Error("`dim !== null` not yet implemented.");const 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c=e.dims.at(-3)??1,u=e.dims.at(-2),d=e.dims.at(-1),h=S3(e.data,[c,u,d],[n,r],s,o);return new we(e.type,h,[c,n,r])}async function ui(e,{size:n=null,mode:r="bilinear"}={}){if(e.dims.length!==4)throw new Error("`interpolate_4d` currently only supports 4D input.");if(!n)throw new Error("`interpolate_4d` requires a `size` argument.");let s;if(n.length===2)s=[...e.dims.slice(0,2),...n];else if(n.length===3)s=[e.dims[0],...n];else if(n.length===4)s=n;else throw new Error("`size` must be of length 2, 3, or 4.");let o;if(r==="nearest")o=await El.nearest_interpolate_4d;else if(r==="bilinear")o=await El.bilinear_interpolate_4d;else if(r==="bicubic")o=await El.bicubic_interpolate_4d;else throw new Error(`Unsupported mode: ${r}`);const c=new we("int64",new BigInt64Array(s.map(BigInt)),[s.length]);return await o({x:e,s:c})}async function ez(e,n){return await(await El.matmul)({a:e,b:n})}async function Ll(e,n){const r=await El.top_k;return n==null?n=e.dims.at(-1):n=Math.min(n,e.dims.at(-1)),await 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Mel spectrogram computation is not yet supported for complex-valued spectrogram. Specify `power` to fix this issue.");if(!g)throw new Error("`preemphasis_htk_flavor=false` is not currently supported.");if(u)switch(d){case"reflect":{const R=Math.floor((o-1)/2)+1;e=fL(e,R,R);break}case"constant":{const R=Math.floor(o/2),te=new e.constructor(e.length+2*R);te.set(e,R),e=te;break}default:throw new Error(`pad_mode="${d}" not implemented yet.`)}let ce=Math.floor(1+Math.floor((e.length-r)/s));D!==null&&ce<D&&(ce=D);const oe=h?Math.floor(o/2)+1:o;let pe=ce,_e=ce;P!==null&&(P>ce?j&&(_e=P):_e=pe=P);const me=new k3(o),ne=new Float64Array(o),ee=new Float64Array(me.outputBufferSize),Me=new Float32Array(oe*_e);for(let R=0;R<pe;++R){const te=R*s,F=Math.min(e.length-te,r);F!==r&&ne.fill(0,0,r);for(let H=0;H<F;++H)ne[H]=e[te+H];if(z){let H=0;for(let de=0;de<F;++de)H+=ne[de];const ue=H/F;for(let de=0;de<F;++de)ne[de]-=ue}if(p!==null){for(let H=F-1;H>=1;--H)ne[H]-=p*ne[H-1];ne[0]*=1-p}for(let H=0;H<n.length;++H)ne[H]*=n[H];me.realTransform(ee,ne);for(let H=0;H<oe;++H){const ue=H<<1;Me[H*_e+R]=ee[ue]**2+ee[ue+1]**2}}if(c!==null&&c!==2){const R=c/2;for(let te=0;te<Me.length;++te)Me[te]**=R}const V=y.length;let W=await ez(new we("float32",y.flat(),[V,oe]),new we("float32",Me,[oe,_e]));I&&(W=W.transpose(1,0));const G=W.data;for(let R=0;R<G.length;++R)G[R]=K+Math.max(w,G[R]);if(c!==null&&b!==null){const R=Math.min(G.length,pe*V);switch(b){case"log":for(let te=0;te<R;++te)G[te]=Math.log(G[te]);break;case"log10":for(let te=0;te<R;++te)G[te]=Math.log10(G[te]);break;case"dB":if(c===1)hL(G,S,E,O);else if(c===2)pL(G,S,E,O);else throw new Error(`Cannot use log_mel option '${b}' with power ${c}`);break;default:throw new Error(`log_mel must be one of null, 'log', 'log10' or 'dB'. Got '${b}'`)}}return W}function oo(e,n,{periodic:r=!0,frame_length:s=null,center:o=!0}={}){const c=r?e+1:e;let u;switch(n){case"boxcar":u=new Float64Array(c).fill(1);break;case"hann":case"hann_window":u=G1(c);break;case"hamming":u=oL(c);break;case"povey":u=G1(c).map(d=>Math.pow(d,.85));break;default:throw new Error(`Unknown window type ${n}.`)}if(r&&(u=u.subarray(0,e)),s===null)return u;if(e>s)throw new Error(`Length of the window (${e}) may not be larger than frame_length (${s})`);return u}function mL(e,n){const r=e.reduce((c,u)=>c+u.length,0),s=new ArrayBuffer(44),o=new DataView(s);return Vf(o,0,"RIFF"),o.setUint32(4,36+r*4,!0),Vf(o,8,"WAVE"),Vf(o,12,"fmt "),o.setUint32(16,16,!0),o.setUint16(20,3,!0),o.setUint16(22,1,!0),o.setUint32(24,n,!0),o.setUint32(28,n*4,!0),o.setUint16(32,4,!0),o.setUint16(34,32,!0),Vf(o,36,"data"),o.setUint32(40,r*4,!0),new Blob([s,...e.map(c=>c.buffer)],{type:"audio/wav"})}function Vf(e,n,r){for(let s=0;s<r.length;++s)e.setUint8(n+s,r.charCodeAt(s))}var _L=class{constructor(e,n){this.audio=e,this.sampling_rate=n}get data(){if(Array.isArray(this.audio)){if(this.audio.length===0)return new Float32Array(0);if(this.audio.length===1)return this.audio[0];const e=this.audio.reduce((s,o)=>s+o.length,0),n=new Float32Array(e);let r=0;for(const s of this.audio)n.set(s,r),r+=s.length;return n}else return this.audio}toBlob(){let e=this.audio;return e instanceof Float32Array&&(e=[e]),mL(e,this.sampling_rate)}async save(e){return Rx(e,this.toBlob())}},gL=class extends na{constructor(e){super(e);const n=this.config.sampling_rate,r=di(257,this.config.num_mel_bins,20,Math.floor(n/2),n,null,"kaldi",!0);this.mel_filters=r,this.window=oo(400,"hann",{periodic:!1}),this.mean=this.config.mean,this.std=this.config.std}async _extract_fbank_features(e,n){return io(e,this.window,400,160,{fft_length:512,power:2,center:!1,preemphasis:.97,mel_filters:this.mel_filters,log_mel:"log",mel_floor:1192092955078125e-22,remove_dc_offset:!0,max_num_frames:n,transpose:!0})}async _call(e){Ua(e,"ASTFeatureExtractor");const n=await this._extract_fbank_features(e,this.config.max_length);if(this.config.do_normalize){const r=this.std*2,s=n.data;for(let o=0;o<s.length;++o)s[o]=(s[o]-this.mean)/r}return{input_values:n.unsqueeze_(0)}}},Ix=class extends na{async _call(e){Ua(e,"EncodecFeatureExtractor"),e instanceof Float64Array&&(e=new Float32Array(e));const n=this.config.feature_size;if(e.length%n!==0)throw new Error(`The length of the audio data must be a multiple of the number of channels (${n}).`);const r=[1,n,e.length/n];return{input_values:new we("float32",e,r)}}},vL=class extends na{async _call(e){Ua(e,"ChatterboxFeatureExtractor"),e instanceof Float64Array&&(e=new Float32Array(e));const n=[1,e.length];return{input_values:new we("float32",e,n)}}},yL=class extends na{constructor(e){super(e),this.mel_filters=di(this.config.nb_frequency_bins,this.config.feature_size,this.config.frequency_min,this.config.frequency_max,this.config.sampling_rate,null,"htk"),this.mel_filters_slaney=di(this.config.nb_frequency_bins,this.config.feature_size,this.config.frequency_min,this.config.frequency_max,this.config.sampling_rate,"slaney","slaney"),this.window=oo(this.config.fft_window_size,"hann")}async _get_input_mel(e,n,r,s){let o;const c=e.length-n;if(c>0)if(r==="rand_trunc"){const u=Math.floor(Eh()*(c+1));e=e.subarray(u,u+n),o=await this._extract_fbank_features(e,this.mel_filters_slaney,this.config.nb_max_samples)}else throw new Error(`Truncation strategy "${r}" not implemented`);else{if(c<0){let u=new Float64Array(n);if(u.set(e),s==="repeat")for(let d=e.length;d<n;d+=e.length)u.set(e.subarray(0,Math.min(e.length,n-d)),d);else if(s==="repeatpad")for(let d=e.length;d<-c;d+=e.length)u.set(e,d);e=u}if(r==="fusion")throw new Error(`Truncation strategy "${r}" not implemented`);o=await this._extract_fbank_features(e,this.mel_filters_slaney,this.config.nb_max_samples)}return o.unsqueeze_(0)}async _extract_fbank_features(e,n,r=null){return io(e,this.window,this.config.fft_window_size,this.config.hop_length,{power:2,mel_filters:n,log_mel:"dB",max_num_frames:r,do_pad:!1,transpose:!0})}async _call(e,{max_length:n=null}={}){return Ua(e,"ClapFeatureExtractor"),{input_features:(await this._get_input_mel(e,n??this.config.nb_max_samples,this.config.truncation,this.config.padding)).unsqueeze_(0)}}},jx=class extends Ix{},wL=class extends na{constructor(e){super(e);const{fft_length:n,feature_size:r,min_frequency:s,max_frequency:o,sampling_rate:c,frame_length:u}=this.config,d=di(Math.floor(1+n/2),r,s,o,c,null,"htk",!1);this.mel_filters=d,this.window=oo(u,"hann")}async _extract_fbank_features(e,n){return io(e,this.window,this.config.frame_length,this.config.hop_length,{fft_length:this.config.fft_length,center:!1,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,remove_dc_offset:!1,transpose:!0})}async _call(e,{max_length:n=48e4,truncation:r=!0,padding:s=!0,pad_to_multiple_of:o=128}={}){if(Ua(e,"Gemma3nAudioFeatureExtractor"),r&&e.length>n&&(e=e.slice(0,n)),s&&e.length%o!==0){const d=o-e.length%o,h=new Float64Array(e.length+d);h.set(e),this.config.padding_value!==0&&h.fill(this.config.padding_value,e.length),e=h}const c=await this._extract_fbank_features(e,this.config.max_length),u=Dn([1,c.dims[0]],!0);return{input_features:c.unsqueeze_(0),input_features_mask:u}}},bL=class extends na{async _call(e){Ua(e,"MoonshineFeatureExtractor"),e instanceof Float64Array&&(e=new Float32Array(e));const n=[1,e.length];return{input_values:new we("float32",e,n)}}},ML=1e-5,xL=class extends na{constructor(e){var s;super(e),(s=this.config).mel_filters??(s.mel_filters=di(Math.floor(1+this.config.n_fft/2),this.config.feature_size,0,this.config.sampling_rate/2,this.config.sampling_rate,"slaney","slaney"));const n=oo(this.config.win_length,"hann",{periodic:!1});this.window=new Float64Array(this.config.n_fft);const r=Math.floor((this.config.n_fft-this.config.win_length)/2);this.window.set(n,r)}async _extract_fbank_features(e){const n=this.config.preemphasis;e=new Float64Array(e);for(let s=e.length-1;s>=1;--s)e[s]-=n*e[s-1];return await io(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){Ua(e,"ParakeetFeatureExtractor");const n=await this._extract_fbank_features(e),r=Math.floor((e.length+Math.floor(this.config.n_fft/2)*2-this.config.n_fft)/this.config.hop_length),s=n.data;s.fill(0,r*n.dims[1]);const[o,c]=n.dims,u=new Float64Array(c),d=new Float64Array(c);for(let g=0;g<r;++g){const y=g*c;for(let w=0;w<c;++w){const b=s[y+w];u[w]+=b,d[w]+=b*b}}const h=r>1?r-1:1;for(let g=0;g<c;++g){const y=u[g]/r,w=(d[g]-r*y*y)/h,S=1/(Math.sqrt(w)+ML);for(let E=0;E<r;++E){const O=E*c+g;s[O]=(s[O]-y)*S}}const p=new BigInt64Array(o);return p.fill(1n,0,r),{input_features:n.unsqueeze_(0),attention_mask:new we("int64",p,[1,o])}}},Vx=class extends na{async _call(e){Ua(e,"PyAnnoteFeatureExtractor"),e instanceof Float64Array&&(e=new Float32Array(e));const n=[1,1,e.length];return{input_values:new we("float32",e,n)}}samples_to_frames(e){return(e-this.config.offset)/this.config.step}post_process_speaker_diarization(e,n){const r=n/this.samples_to_frames(n)/this.config.sampling_rate,s=[];for(const o of e.tolist()){const c=[];let u=-1;for(let d=0;d<o.length;++d){const h=Tn(o[d]),[p,g]=Zt(h),[y,w]=[d,d+1];g!==u?(u=g,c.push({id:g,start:y,end:w,score:p})):(c.at(-1).end=w,c.at(-1).score+=p)}s.push(c.map(({id:d,start:h,end:p,score:g})=>({id:d,start:h*r,end:p*r,confidence:g/(p-h)})))}return s}},TL=class extends na{constructor(e){super(e);const n=this.config.sampling_rate,r=di(257,this.config.num_mel_bins,20,Math.floor(n/2),n,null,"kaldi",!0);this.mel_filters=r,this.window=oo(400,"povey",{periodic:!1})}async _extract_fbank_features(e,n){return e=e.map(r=>r*32768),io(e,this.window,400,160,{fft_length:512,power:2,center:!1,preemphasis:.97,mel_filters:this.mel_filters,log_mel:"log",mel_floor:1192092955078125e-22,remove_dc_offset:!0,max_num_frames:n,transpose:!0})}async _call(e,{padding:n=!0,pad_to_multiple_of:r=2,do_normalize_per_mel_bins:s=!0,return_attention_mask:o=!0}={}){Ua(e,"SeamlessM4TFeatureExtractor");let c=await this._extract_fbank_features(e,this.config.max_length);if(s){const[b,S]=c.dims,E=c.data;for(let O=0;O<S;++O){let z=0;for(let I=0;I<b;++I)z+=E[I*S+O];const D=z/b;let P=0;for(let I=0;I<b;++I)P+=(E[I*S+O]-D)**2;P/=b-1;const j=Math.sqrt(P+1e-7);for(let I=0;I<b;++I){const K=I*S+O;E[K]=(E[K]-D)/j}}}let u;if(n){const[b,S]=c.dims,E=c.data,O=b%r;if(O>0){const z=new Float32Array(S*(b+O));z.set(E),z.fill(this.config.padding_value,E.length);const D=b+O;c=new we(c.type,z,[D,S]),o&&(u=new we("int64",new BigInt64Array(D),[1,D]),u.data.fill(1n,0,b))}}const[d,h]=c.dims,p=this.config.stride;if(d%p!==0)throw new Error(`The number of frames (${d}) must be a multiple of the stride (${p}).`);const y=c.view(1,Math.floor(d/p),h*p),w={input_features:y};if(o){const b=y.dims[1],S=new BigInt64Array(b);if(u){const E=u.data;for(let O=1,z=0;O<d;O+=p,++z)S[z]=E[O]}else S.fill(1n);w.attention_mask=new we("int64",S,[1,b])}return w}},SL=class extends jx{},EL=class extends na{},AL=class extends na{_zero_mean_unit_var_norm(e){const r=e.reduce((o,c)=>o+c,0)/e.length,s=e.reduce((o,c)=>o+(c-r)**2,0)/e.length;return e.map(o=>(o-r)/Math.sqrt(s+1e-7))}async _call(e){Ua(e,"Wav2Vec2FeatureExtractor"),e instanceof Float64Array&&(e=new Float32Array(e));let n=e;this.config.do_normalize&&(n=this._zero_mean_unit_var_norm(n));const r=[1,n.length];return{input_values:new we("float32",n,r),attention_mask:new we("int64",new BigInt64Array(n.length).fill(1n),r)}}},CL=class extends na{constructor(e){super(e);const n=this.config.sampling_rate,r=di(257,this.config.num_mel_bins,20,Math.floor(n/2),n,null,"kaldi",!0);this.mel_filters=r,this.window=oo(400,"hamming",{periodic:!1}),this.min_num_frames=this.config.min_num_frames}async _extract_fbank_features(e){return e=e.map(n=>n*32768),io(e,this.window,400,160,{fft_length:512,power:2,center:!1,preemphasis:.97,mel_filters:this.mel_filters,log_mel:"log",mel_floor:1192092955078125e-22,remove_dc_offset:!0,transpose:!0,min_num_frames:this.min_num_frames})}async _call(e){Ua(e,"WeSpeakerFeatureExtractor");const n=(await this._extract_fbank_features(e)).unsqueeze_(0);if(this.config.fbank_centering_span===null){const r=n.mean(1).data,s=n.data,[o,c,u]=n.dims;for(let d=0;d<o;++d){const h=d*c*u,p=d*u;for(let g=0;g<c;++g){const y=h+g*u;for(let w=0;w<u;++w)s[y+w]-=r[p+w]}}}return{input_features:n}}},kL=class extends na{constructor(e){var n;super(e),(n=this.config).mel_filters??(n.mel_filters=di(Math.floor(1+this.config.n_fft/2),this.config.feature_size,0,8e3,this.config.sampling_rate,"slaney","slaney")),this.window=oo(this.config.n_fft,"hann")}async _extract_fbank_features(e){const n=await io(e,this.window,this.config.n_fft,this.config.hop_length,{power:2,mel_filters:this.config.mel_filters,log_mel:"log10",max_num_frames:Math.min(Math.floor(e.length/this.config.hop_length),this.config.nb_max_frames)}),r=n.data,s=Zt(r)[0];for(let o=0;o<r.length;++o)r[o]=(Math.max(r[o],s-8)+4)/4;return n}async _call(e,{max_length:n=null}={}){Ua(e,"WhisperFeatureExtractor");let r;const s=n??this.config.n_samples;return e.length>s?(e.length>this.config.n_samples&&qe.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`."),r=e.slice(0,s)):(r=new Float32Array(s),r.set(e)),{input_features:(await this._extract_fbank_features(r)).unsqueeze_(0)}}},vs=class{static async from_pretrained(e,n={}){const r=await Fr(e,ev,!0,n),s=r.feature_extractor_type,o=nv[s];if(!o)throw new Error(`Unknown feature_extractor_type: '${s}'. Please report this at ${Jg}.`);return new o(r)}},Yf,OL=(Yf=class extends kt{async _call(e,n=null){const r=this.tokenizer(e),s=n?await this.feature_extractor(n):{};return{...r,...s}}},L(Yf,"tokenizer_class",He),L(Yf,"feature_extractor_class",vs),Yf),zL={},Mg=zL,Qi,qx,ii,tr=Ct.IS_BROWSER_ENV||Ct.IS_WEBWORKER_ENV;if(tr)Qi=(e,n)=>{if(!self.OffscreenCanvas)throw new Error("OffscreenCanvas not supported by this browser.");return new self.OffscreenCanvas(e,n)},ii=self.createImageBitmap,qx=self.ImageData;else if(Mg)ii=async e=>{const r=(await e.metadata()).channels,{data:s,info:o}=await e.rotate().raw().toBuffer({resolveWithObject:!0}),c=new or(new Uint8ClampedArray(s),o.width,o.height,o.channels);return r!==void 0&&r!==o.channels&&c.convert(r),c};else throw new Error("Unable to load image processing library.");var LL={0:"nearest",1:"lanczos",2:"bilinear",3:"bicubic",4:"box",5:"hamming"},NL=new Map([["png","image/png"],["jpg","image/jpeg"],["jpeg","image/jpeg"],["gif","image/gif"]]),or=class Lr{constructor(n,r,s,o){this.data=n,this.width=r,this.height=s,this.channels=o}get size(){return[this.width,this.height]}static async read(n){if(n instanceof Lr)return n;if(typeof n=="string"||n instanceof URL)return await this.fromURL(n);if(n instanceof Blob)return await this.fromBlob(n);if(typeof HTMLCanvasElement<"u"&&n instanceof HTMLCanvasElement||typeof OffscreenCanvas<"u"&&n instanceof OffscreenCanvas)return this.fromCanvas(n);throw new Error(`Unsupported input type: ${typeof n}`)}static fromCanvas(n){if(!tr)throw new Error("fromCanvas() is only supported in browser environments.");const s=n.getContext("2d").getImageData(0,0,n.width,n.height).data;return new Lr(s,n.width,n.height,4)}static async fromURL(n){const r=await xh(n);if(r.status!==200)throw new Error(`Unable to read image from "${n}" (${r.status} ${r.statusText})`);const s=await r.blob();return this.fromBlob(s)}static async fromBlob(n){if(tr){const r=await ii(n),s=Qi(r.width,r.height).getContext("2d");return s.drawImage(r,0,0),new this(s.getImageData(0,0,r.width,r.height).data,r.width,r.height,4)}else{const r=Mg(await n.arrayBuffer());return await ii(r)}}static fromTensor(n,r="CHW"){if(n.dims.length!==3)throw new Error(`Tensor should have 3 dimensions, but has ${n.dims.length} dimensions.`);if(r==="CHW")n=n.transpose(1,2,0);else if(r!=="HWC")throw new Error(`Unsupported channel format: ${r}`);if(!(n.data instanceof Uint8ClampedArray||n.data instanceof Uint8Array))throw new Error(`Unsupported tensor type: ${n.type}`);switch(n.dims[2]){case 1:case 2:case 3:case 4:return new Lr(n.data,n.dims[1],n.dims[0],n.dims[2]);default:throw new Error(`Unsupported number of channels: ${n.dims[2]}`)}}grayscale(){if(this.channels===1)return this;const n=new Uint8ClampedArray(this.width*this.height*1);switch(this.channels){case 3:case 4:for(let r=0,s=0;r<this.data.length;r+=this.channels){const o=this.data[r],c=this.data[r+1],u=this.data[r+2];n[s++]=Math.round(.2989*o+.587*c+.114*u)}break;default:throw new Error(`Conversion failed due to unsupported number of channels: ${this.channels}`)}return this._update(n,this.width,this.height,1)}rgb(){if(this.channels===3)return this;const n=new Uint8ClampedArray(this.width*this.height*3);switch(this.channels){case 1:for(let r=0,s=0;r<this.data.length;++r)n[s++]=this.data[r],n[s++]=this.data[r],n[s++]=this.data[r];break;case 4:for(let r=0,s=0;r<this.data.length;r+=4)n[s++]=this.data[r],n[s++]=this.data[r+1],n[s++]=this.data[r+2];break;default:throw new Error(`Conversion failed due to unsupported number of channels: ${this.channels}`)}return this._update(n,this.width,this.height,3)}rgba(){if(this.channels===4)return this;const n=new Uint8ClampedArray(this.width*this.height*4);switch(this.channels){case 1:for(let r=0,s=0;r<this.data.length;++r)n[s++]=this.data[r],n[s++]=this.data[r],n[s++]=this.data[r],n[s++]=255;break;case 3:for(let r=0,s=0;r<this.data.length;r+=3)n[s++]=this.data[r],n[s++]=this.data[r+1],n[s++]=this.data[r+2],n[s++]=255;break;default:throw new Error(`Conversion failed due to unsupported number of channels: ${this.channels}`)}return this._update(n,this.width,this.height,4)}putAlpha(n){if(n.width!==this.width||n.height!==this.height)throw new Error(`Expected mask size to be ${this.width}x${this.height}, but got ${n.width}x${n.height}`);if(n.channels!==1)throw new Error(`Expected mask to have 1 channel, but got ${n.channels}`);const r=this.data,s=n.data,o=this.width*this.height;if(this.channels===3){const c=new Uint8ClampedArray(o*4);for(let u=0,d=0,h=0;u<o;++u)c[h++]=r[d++],c[h++]=r[d++],c[h++]=r[d++],c[h++]=s[u];return this._update(c,this.width,this.height,4)}else if(this.channels===4){for(let c=0;c<o;++c)r[4*c+3]=s[c];return this}throw new Error(`Expected image to have 3 or 4 channels, but got ${this.channels}`)}async resize(n,r,{resample:s=2}={}){if(this.width===n&&this.height===r)return this;let o=LL[s]??s;const c=E1(n),u=E1(r);if(c&&u)return this;if(c?n=r/this.height*this.width:u&&(r=n/this.width*this.height),tr){const d=this.channels,h=this.toCanvas(),p=Qi(n,r).getContext("2d");return p.drawImage(h,0,0,n,r),new Lr(p.getImageData(0,0,n,r).data,n,r,4).convert(d)}else{let d=this.toSharp();switch(o){case"box":case"hamming":(o==="box"||o==="hamming")&&(qe.warn(`Resampling method ${o} is not yet supported. Using bilinear instead.`),o="bilinear");case"nearest":case"bilinear":case"bicubic":d=d.affine([n/this.width,0,0,r/this.height],{interpolator:o});break;case"lanczos":d=d.resize({width:n,height:r,fit:"fill",kernel:"lanczos3"});break;default:throw new Error(`Resampling method ${o} is not supported.`)}return await ii(d)}}async pad([n,r,s,o]){if(n=Math.max(n,0),r=Math.max(r,0),s=Math.max(s,0),o=Math.max(o,0),n===0&&r===0&&s===0&&o===0)return this;if(tr){const c=this.channels,u=this.toCanvas(),d=this.width+n+r,h=this.height+s+o,p=Qi(d,h).getContext("2d");return p.drawImage(u,0,0,this.width,this.height,n,s,this.width,this.height),new Lr(p.getImageData(0,0,d,h).data,d,h,4).convert(c)}else{const c=this.toSharp().extend({left:n,right:r,top:s,bottom:o});return await ii(c)}}async crop([n,r,s,o]){if(n=Math.max(n,0),r=Math.max(r,0),s=Math.min(s,this.width-1),o=Math.min(o,this.height-1),n===0&&r===0&&s===this.width-1&&o===this.height-1)return this;const c=s-n+1,u=o-r+1;if(tr){const d=this.channels,h=this.toCanvas(),p=Qi(c,u).getContext("2d");return p.drawImage(h,n,r,c,u,0,0,c,u),new Lr(p.getImageData(0,0,c,u).data,c,u,4).convert(d)}else{const d=this.toSharp().extract({left:n,top:r,width:c,height:u});return await ii(d)}}async center_crop(n,r){if(this.width===n&&this.height===r)return this;const s=(this.width-n)/2,o=(this.height-r)/2;if(tr){const c=this.channels,u=this.toCanvas(),d=Qi(n,r).getContext("2d");let h=0,p=0,g=0,y=0;return s>=0?h=s:g=-s,o>=0?p=o:y=-o,d.drawImage(u,h,p,n,r,g,y,n,r),new Lr(d.getImageData(0,0,n,r).data,n,r,4).convert(c)}else{let c=this.toSharp();if(s>=0&&o>=0)c=c.extract({left:Math.floor(s),top:Math.floor(o),width:n,height:r});else if(s<=0&&o<=0){const u=Math.floor(-o),d=Math.floor(-s);c=c.extend({top:u,left:d,right:n-this.width-d,bottom:r-this.height-u})}else{let u=[0,0],d=0;o<0?(u[0]=Math.floor(-o),u[1]=r-this.height-u[0]):d=Math.floor(o);let h=[0,0],p=0;s<0?(h[0]=Math.floor(-s),h[1]=n-this.width-h[0]):p=Math.floor(s),c=c.extend({top:u[0],bottom:u[1],left:h[0],right:h[1]}).extract({left:p,top:d,width:n,height:r})}return await ii(c)}}async toBlob(n="image/png",r=1){if(!tr)throw new Error("toBlob() is only supported in browser environments.");return await this.toCanvas().convertToBlob({type:n,quality:r})}toTensor(n="CHW"){let r=new we("uint8",new Uint8Array(this.data),[this.height,this.width,this.channels]);if(n!=="HWC")if(n==="CHW")r=r.permute(2,0,1);else throw new Error(`Unsupported channel format: ${n}`);return r}toCanvas(){if(!tr)throw new Error("toCanvas() is only supported in browser environments.");const n=this.clone().rgba(),r=Qi(n.width,n.height),s=new qx(n.data,n.width,n.height);return r.getContext("2d").putImageData(s,0,0),r}split(){const{data:n,width:r,height:s,channels:o}=this,c=n.constructor,u=n.length/o,d=Array.from({length:o},()=>new c(u));for(let h=0;h<u;++h){const p=o*h;for(let g=0;g<o;++g)d[g][h]=n[p+g]}return d.map(h=>new Lr(h,r,s,1))}_update(n,r,s,o=null){return this.data=n,this.width=r,this.height=s,o!==null&&(this.channels=o),this}clone(){return new Lr(this.data.slice(),this.width,this.height,this.channels)}convert(n){if(this.channels===n)return this;switch(n){case 1:this.grayscale();break;case 3:this.rgb();break;case 4:this.rgba();break;default:throw new Error(`Conversion failed due to unsupported number of channels: ${this.channels}`)}return this}async save(n){if(tr){if(Ct.IS_WEBWORKER_ENV)throw new Error("Unable to save an image from a Web Worker.");const r=n.split(".").pop().toLowerCase(),s=NL.get(r)??"image/png",o=await this.toBlob(s);return Rx(n,o)}else if(Ct.IS_FS_AVAILABLE)await this.toSharp().toFile(n);else throw new Error("Unable to save the image because filesystem is disabled in this environment.")}toSharp(){if(tr)throw new Error("toSharp() is only supported in server-side environments.");return Mg(this.data,{raw:{width:this.width,height:this.height,channels:this.channels}})}};or.read.bind(or);function j1(e,n,r=0,s=null){const o=e/n;let c=z3(o)*n;return s!==null&&c>s&&(c=Math.floor(o)*n),c<r&&(c=Math.ceil(o)*n),c}function E_([e,n],r){return[Math.max(Math.floor(e/r),1)*r,Math.max(Math.floor(n/r),1)*r]}function $x([e,n,r,s]){return[e-r/2,n-s/2,e+r/2,n+s/2]}function Bh(e,n=.5,r=null,s=!1){const o=e.logits,c=e.pred_boxes,[u,d,h]=o.dims;if(r!==null&&r.length!==u)throw Error("Make sure that you pass in as many target sizes as the batch dimension of the logits");let p=[];for(let g=0;g<u;++g){let y=r!==null?r[g]:null,w={boxes:[],classes:[],scores:[]},b=o[g],S=c[g];for(let E=0;E<d;++E){let O=b[E],z=[],D;if(s){D=O.sigmoid().data;for(let P=0;P<D.length;++P)D[P]>n&&z.push(P)}else{let P=Zt(O.data)[1];if(P===h-1||(D=Tn(O.data),D[P]<n))continue;z.push(P)}for(const P of z){let j=S[E].data;j=$x(j),y!==null&&(j=j.map((I,K)=>I*y[(K+1)%2])),w.boxes.push(j),w.classes.push(P),w.scores.push(D[P])}}p.push(w)}return p}function Hx(e,n=null){const r=e.logits,s=r.dims[0];if(n!==null&&n.length!==s)throw Error("Make sure that you pass in as many target sizes as the batch dimension of the logits");const o=[];for(let c=0;c<s;++c){const u=n!==null?n[c]:null;let d=r[c];u!==null&&(d=Cx(d,u,"bilinear",!1));const[h,p]=u??d.dims.slice(-2),g=new we("int32",new Int32Array(h*p),[h,p]),y=d[0].data,w=g.data;for(let E=1;E<d.dims[0];++E){const O=d[E].data;for(let z=0;z<O.length;++z)O[z]>y[z]&&(y[z]=O[z],w[z]=E)}const b=new Array(d.dims[0]);for(let E=0;E<w.length;++E){const O=w[E];b[O]=O}const S=b.filter(E=>E!==void 0);o.push({segmentation:g,labels:S})}return o}function DL(e,n,r,s){const o=[],c=[],u=[];for(let d=0;d<e.dims[0];++d){const h=e[d],p=n[d],g=Zt(h.data)[1];if(g===s)continue;const w=Tn(h.data)[g];w>r&&(o.push(p),c.push(w),u.push(g))}return[o,c,u]}function FL(e,n,r,s=.5,o=.8){const c=[];let u=0,d=0;const h=n[r].data;for(let g=0;g<e.length;++g)e[g]===r&&(c.push(g),++u),h[g]>=s&&++d;let p=u>0&&d>0;return p&&(p=u/d>o),[p,c]}function BL(e,n,r,s,o,c=null,u=null){const[d,h]=u??e[0].dims,p=new we("int32",new Int32Array(d*h),[d,h]),g=[];if(u!==null)for(let E=0;E<e.length;++E)e[E]=Cx(e[E],u,"bilinear",!1);const y=new Int32Array(e[0].data.length),w=new Float32Array(e[0].data.length);for(let E=0;E<e.length;++E){let O=n[E];const z=e[E].data;for(let D=0;D<z.length;++D)z[D]*=O,z[D]>w[D]&&(y[D]=E,w[D]=z[D])}let b=0;const S=p.data;for(let E=0;E<r.length;++E){const O=r[E],[z,D]=FL(y,e,E,s,o);if(z){++b;for(const P of D)S[P]=b;g.push({id:b,label_id:O,score:n[E]})}}return[p,g]}function PL(e,n,r=28,s=3136,o=784*1280){if(e<r||n<r)throw new Error(`height:${e} or width:${n} must be larger than factor:${r}`);if(Math.max(e,n)/Math.min(e,n)>200)throw new Error(`absolute aspect ratio must be smaller than 200, got ${Math.max(e,n)/Math.min(e,n)}`);let c=Math.round(e/r)*r,u=Math.round(n/r)*r;if(c*u>o){const d=Math.sqrt(e*n/o);c=Math.floor(e/d/r)*r,u=Math.floor(n/d/r)*r}else if(c*u<s){const d=Math.sqrt(s/(e*n));c=Math.ceil(e*d/r)*r,u=Math.ceil(n*d/r)*r}return[c,u]}function Yx(e,n=.5,r=.5,s=.8,o=null,c=null){o===null&&(qe.warn("`label_ids_to_fuse` unset. No instance will be fused."),o=new Set);const u=e.class_queries_logits??e.logits,h=(e.masks_queries_logits??e.pred_masks).sigmoid();let[p,g,y]=u.dims;if(y-=1,c!==null&&c.length!==p)throw Error("Make sure that you pass in as many target sizes as the batch dimension of the logits");let w=[];for(let b=0;b<p;++b){let S=c!==null?c[b]:null,E=u[b],O=h[b],[z,D,P]=DL(E,O,n,y);if(P.length===0){let[K,k]=S??O.dims.slice(-2),ce=new we("int32",new Int32Array(K*k).fill(-1),[K,k]);w.push({segmentation:ce,segments_info:[]});continue}let[j,I]=BL(z,D,P,r,s,o,S);w.push({segmentation:j,segments_info:I})}return w}function Xx(e,n=.5,r=null){throw new Error("`post_process_instance_segmentation` is not yet implemented.")}var Ye=class extends Ra{constructor(e){super(),this.image_mean=e.image_mean??e.mean,this.image_std=e.image_std??e.std,this.resample=e.resample??2,this.do_rescale=e.do_rescale??!0,this.rescale_factor=e.rescale_factor??1/255,this.do_normalize=e.do_normalize,this.do_thumbnail=e.do_thumbnail,this.size=e.size??e.image_size,this.do_resize=e.do_resize??this.size!==void 0,this.size_divisibility=e.size_divisibility??e.size_divisor,this.do_center_crop=e.do_center_crop,this.crop_size=e.crop_size,this.do_convert_rgb=e.do_convert_rgb??!0,this.do_crop_margin=e.do_crop_margin,this.pad_size=e.pad_size,this.do_pad=e.do_pad,this.min_pixels=e.min_pixels,this.max_pixels=e.max_pixels,this.do_pad&&!this.pad_size&&this.size&&this.size.width!==void 0&&this.size.height!==void 0&&(this.pad_size=this.size),this.do_flip_channel_order=e.do_flip_channel_order??!1,this.config=e}async thumbnail(e,n,r=2){const s=e.height,o=e.width,c=n.height,u=n.width;let d=Math.min(s,c),h=Math.min(o,u);return d===s&&h===o?e:(s>o?h=Math.floor(o*d/s):o>s&&(d=Math.floor(s*h/o)),await e.resize(h,d,{resample:r}))}async crop_margin(e,n=200){const r=e.clone().grayscale(),s=vg(r.data)[0],c=Zt(r.data)[0]-s;if(c===0)return e;const u=n/255;let d=r.width,h=r.height,p=0,g=0;const y=r.data;for(let w=0;w<r.height;++w){const b=w*r.width;for(let S=0;S<r.width;++S)(y[b+S]-s)/c<u&&(d=Math.min(d,S),h=Math.min(h,w),p=Math.max(p,S),g=Math.max(g,w))}return e=await e.crop([d,h,p,g]),e}pad_image(e,n,r,{mode:s="constant",center:o=!1,constant_values:c=0}={}){const[u,d,h]=n;let p,g;if(typeof r=="number"?(p=r,g=r):r==="square"?p=g=Math.max(u,d):(p=r.width,g=r.height),p!==d||g!==u){const y=new Float32Array(p*g*h);if(Array.isArray(c))for(let S=0;S<y.length;++S)y[S]=c[S%h];else c!==0&&y.fill(c);const[w,b]=o?[Math.floor((p-d)/2),Math.floor((g-u)/2)]:[0,0];for(let S=0;S<u;++S){const E=(S+b)*p,O=S*d;for(let z=0;z<d;++z){const D=(E+z+w)*h,P=(O+z)*h;for(let j=0;j<h;++j)y[D+j]=e[P+j]}}if(s==="symmetric"){if(o)throw new Error("`center` padding is not supported when `mode` is set to `symmetric`.");const S=u-1,E=d-1;for(let O=0;O<g;++O){const z=O*p,D=wh(O,S)*d;for(let P=0;P<p;++P){if(O<u&&P<d)continue;const j=(z+P)*h,I=(D+wh(P,E))*h;for(let K=0;K<h;++K)y[j+K]=e[I+K]}}}e=y,n=[g,p,h]}return[e,n]}rescale(e){for(let n=0;n<e.length;++n)e[n]=this.rescale_factor*e[n]}get_resize_output_image_size(e,n){const[r,s]=e.size;let o,c;if(this.do_thumbnail){const{height:u,width:d}=n;o=Math.min(u,d)}else Number.isInteger(n)?(o=n,c=this.config.max_size??o):n!==void 0&&(o=n.shortest_edge,c=n.longest_edge);if(o!==void 0||c!==void 0){const u=o===void 0?1:Math.max(o/r,o/s),d=r*u,h=s*u,p=c===void 0?1:Math.min(c/d,c/h);let g=Math.floor(Number((d*p).toFixed(2))),y=Math.floor(Number((h*p).toFixed(2)));return this.size_divisibility!==void 0&&([g,y]=E_([g,y],this.size_divisibility)),[g,y]}else if(n!==void 0&&n.width!==void 0&&n.height!==void 0){let u=n.width,d=n.height;if(this.config.keep_aspect_ratio&&this.config.ensure_multiple_of){let h=d/s,p=u/r;Math.abs(1-p)<Math.abs(1-h)?h=p:p=h,d=j1(h*s,this.config.ensure_multiple_of),u=j1(p*r,this.config.ensure_multiple_of)}return[u,d]}else{if(this.size_divisibility!==void 0)return E_([r,s],this.size_divisibility);if(this.min_pixels!==void 0&&this.max_pixels!==void 0){const u=this.config.patch_size*this.config.merge_size;return PL(s,r,u,this.min_pixels,this.max_pixels)}else throw new Error(`Could not resize image due to unsupported \`this.size\` option in config: ${JSON.stringify(n)}`)}}async resize(e){const[n,r]=this.get_resize_output_image_size(e,this.size);return await e.resize(n,r,{resample:this.resample})}async preprocess(e,{do_normalize:n=null,do_pad:r=null,do_convert_rgb:s=null,do_convert_grayscale:o=null,do_flip_channel_order:c=null}={}){this.do_crop_margin&&(e=await this.crop_margin(e));const[u,d]=e.size;if(s??this.do_convert_rgb?e=e.rgb():o&&(e=e.grayscale()),this.do_resize&&(e=await this.resize(e)),this.do_thumbnail&&(e=await this.thumbnail(e,this.size,this.resample)),this.do_center_crop){let w,b;Number.isInteger(this.crop_size)?(w=this.crop_size,b=this.crop_size):(w=this.crop_size.width,b=this.crop_size.height),e=await e.center_crop(w,b)}const h=[e.height,e.width];let p=Float32Array.from(e.data),g=[e.height,e.width,e.channels];if(this.do_rescale&&this.rescale(p),n??this.do_normalize){let w=this.image_mean;Array.isArray(this.image_mean)||(w=new Array(e.channels).fill(w));let b=this.image_std;if(Array.isArray(this.image_std)||(b=new Array(e.channels).fill(b)),w.length!==e.channels||b.length!==e.channels)throw new Error(`When set to arrays, the length of \`image_mean\` (${w.length}) and \`image_std\` (${b.length}) must match the number of channels in the image (${e.channels}).`);for(let S=0;S<p.length;S+=e.channels)for(let E=0;E<e.channels;++E)p[S+E]=(p[S+E]-w[E])/b[E]}if(r??this.do_pad){if(this.pad_size)[p,g]=this.pad_image(p,[e.height,e.width,e.channels],this.pad_size);else if(this.size_divisibility){const[w,b]=E_([g[1],g[0]],this.size_divisibility);[p,g]=this.pad_image(p,g,{width:w,height:b})}}if(c??this.do_flip_channel_order){if(g[2]!==3)throw new Error("Flipping channel order is only supported for RGB images.");for(let w=0;w<p.length;w+=3){const b=p[w];p[w]=p[w+2],p[w+2]=b}}const y=new we("float32",p,g).permute(2,0,1);return{original_size:[d,u],reshaped_input_size:h,pixel_values:y}}async _call(e,...n){Array.isArray(e)||(e=[e]);const r=await Promise.all(e.map(o=>this.preprocess(o)));return{pixel_values:Nl(r.map(o=>o.pixel_values),0),original_sizes:r.map(o=>o.original_size),reshaped_input_sizes:r.map(o=>o.reshaped_input_size)}}static async from_pretrained(e,n={}){const r=await Fr(e,tv,!0,n);return new this(r)}},Ah={};Ol(Ah,{BeitFeatureExtractor:()=>RL,BitImageProcessor:()=>UL,CLIPFeatureExtractor:()=>IL,CLIPImageProcessor:()=>Qx,ChineseCLIPFeatureExtractor:()=>GL,ConvNextFeatureExtractor:()=>jL,ConvNextImageProcessor:()=>Wx,DINOv3ViTImageProcessor:()=>$L,DPTFeatureExtractor:()=>YL,DPTImageProcessor:()=>Jx,DeiTFeatureExtractor:()=>VL,DeiTImageProcessor:()=>Zx,DetrFeatureExtractor:()=>qL,DetrImageProcessor:()=>Kx,DonutFeatureExtractor:()=>HL,DonutImageProcessor:()=>av,EfficientNetImageProcessor:()=>XL,GLPNFeatureExtractor:()=>QL,GroundingDinoImageProcessor:()=>WL,Idefics3ImageProcessor:()=>V1,ImageFeatureExtractor:()=>Ye,ImageProcessor:()=>Ye,JinaCLIPImageProcessor:()=>KL,LlavaOnevisionImageProcessor:()=>JL,Mask2FormerImageProcessor:()=>t4,MaskFormerFeatureExtractor:()=>e4,MaskFormerImageProcessor:()=>rv,MobileNetV1FeatureExtractor:()=>n4,MobileNetV1ImageProcessor:()=>e2,MobileNetV2FeatureExtractor:()=>a4,MobileNetV2ImageProcessor:()=>t2,MobileNetV3FeatureExtractor:()=>r4,MobileNetV3ImageProcessor:()=>n2,MobileNetV4FeatureExtractor:()=>s4,MobileNetV4ImageProcessor:()=>a2,MobileViTFeatureExtractor:()=>i4,MobileViTImageProcessor:()=>r2,NougatImageProcessor:()=>o4,OwlViTFeatureExtractor:()=>l4,OwlViTImageProcessor:()=>sv,Owlv2ImageProcessor:()=>c4,Phi3VImageProcessor:()=>d4,PixtralImageProcessor:()=>f4,PvtImageProcessor:()=>h4,Qwen2VLImageProcessor:()=>p4,RTDetrImageProcessor:()=>m4,Sam2ImageProcessor:()=>k_,Sam3ImageProcessor:()=>k_,SamImageProcessor:()=>k_,SapiensFeatureExtractor:()=>_4,SapiensImageProcessor:()=>s2,SegformerFeatureExtractor:()=>g4,SegformerImageProcessor:()=>i2,SiglipImageProcessor:()=>v4,SmolVLMImageProcessor:()=>V1,Swin2SRImageProcessor:()=>y4,VLMImageProcessor:()=>ZL,ViTFeatureExtractor:()=>w4,ViTImageProcessor:()=>o2,VitMatteImageProcessor:()=>b4,VitPoseImageProcessor:()=>M4,YolosFeatureExtractor:()=>x4,YolosImageProcessor:()=>l2});var RL=class extends Ye{},UL=class extends Ye{},GL=class extends Ye{},Qx=class extends Ye{},IL=class extends Qx{},Wx=class extends Ye{constructor(e){super(e),this.crop_pct=this.config.crop_pct??224/256}async resize(e){var r;const n=(r=this.size)==null?void 0:r.shortest_edge;if(n===void 0)throw new Error("Size dictionary must contain 'shortest_edge' key.");if(n<384){const s=Math.floor(n/this.crop_pct),[o,c]=this.get_resize_output_image_size(e,{shortest_edge:s});e=await e.resize(o,c,{resample:this.resample}),e=await e.center_crop(n,n)}else e=await e.resize(n,n,{resample:this.resample});return e}},jL=class extends Wx{},Zx=class extends Ye{},VL=class extends Zx{},Kx=class extends Ye{async _call(e){const n=await super._call(e),r=[n.pixel_values.dims[0],64,64],s=Dn(r,1n);return{...n,pixel_mask:s}}post_process_object_detection(...e){return Bh(...e)}post_process_panoptic_segmentation(...e){return Yx(...e)}post_process_instance_segmentation(...e){return Xx(...e)}},qL=class extends Kx{},$L=class extends Ye{},av=class extends Ye{pad_image(e,n,r,s={}){const[o,c,u]=n;let d=this.image_mean;Array.isArray(this.image_mean)||(d=new Array(u).fill(d));let h=this.image_std;Array.isArray(h)||(h=new Array(u).fill(d));const p=d.map((g,y)=>-g/h[y]);return super.pad_image(e,n,r,{center:!0,constant_values:p,...s})}},HL=class extends av{},Jx=class extends Ye{},YL=class extends Jx{},XL=class extends Ye{constructor(e){super(e),this.include_top=this.config.include_top??!0,this.include_top&&(this.image_std=this.image_std.map(n=>n*n))}},QL=class extends Ye{},WL=class extends Ye{async _call(e){const n=await super._call(e),r=n.pixel_values.dims,s=Pa([r[0],r[2],r[3]]);return{...n,pixel_mask:s}}},V1=class extends Ye{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,n){let[r,s]=e.dims.slice(-2);const o=s/r;return s>=r?(s=Math.ceil(s/n)*n,r=Math.floor(s/o),r=Math.ceil(r/n)*n):(r=Math.ceil(r/n)*n,s=Math.floor(r*o),s=Math.ceil(s/n)*n),{height:r,width:s}}async _call(e,{do_image_splitting:n=null,return_row_col_info:r=!1}={}){let s;if(!Array.isArray(e))s=[[e]];else{if(e.length===0||!e[0])throw new Error("No images provided.");Array.isArray(e[0])?s=e:s=[e]}let o=[],c=[],u=[];const d=[],h=[];for(const O of s){let z=await Promise.all(O.map(j=>this.preprocess(j)));d.push(...z.map(j=>j.original_size)),h.push(...z.map(j=>j.reshaped_input_size)),z.forEach(j=>j.pixel_values.unsqueeze_(0));const{longest_edge:D}=this.max_image_size;let P;if(n??this.do_image_splitting){let j=new Array(z.length),I=new Array(z.length);P=await Promise.all(z.map(async(K,k)=>{const ce=this.get_resize_for_vision_encoder(K.pixel_values,D),oe=await ui(K.pixel_values,{size:[ce.height,ce.width]}),{frames:pe,num_splits_h:_e,num_splits_w:me}=await this.split_image(oe,this.max_image_size);return j[k]=_e,I[k]=me,Rt(pe,0)})),c.push(j),u.push(I)}else{const j=[D,D];P=await Promise.all(z.map(I=>ui(I.pixel_values,{size:j}))),c.push(new Array(z.length).fill(0)),u.push(new Array(z.length).fill(0))}o.push(Rt(P,0))}const p=o.length,[g,y,w,b]=o[0].dims;let S,E;if(p===1)S=o[0].unsqueeze_(0),E=Dn([p,g,w,b],!0);else{const O=Math.max(...o.map(P=>P.dims.at(0)));E=Dn([p,O,w,b],!0);const z=E.data,D=O*w*b;for(let P=0;P<p;++P){const j=o[P].dims[0];if(j<O){o[P]=Rt([o[P],Dn([O-j,y,w,b],0)],0);const I=P*D+j*w*b,K=(P+1)*D;z.fill(!1,I,K)}}S=Nl(o,0)}return{pixel_values:S,pixel_attention_mask:E,original_sizes:d,reshaped_input_sizes:h,...r?{rows:c,cols:u}:{}}}async split_image(e,{longest_edge:n}){const r=n,s=n,o=[],[c,u]=e.dims.slice(-2);let d=0,h=0;if(c>r||u>s){d=Math.ceil(c/r),h=Math.ceil(u/s);const p=Math.ceil(c/d),g=Math.ceil(u/h);for(let b=0;b<d;++b)for(let S=0;S<h;++S){let E,O,z,D;b===d-1?(O=c-p,D=c):(O=b*p,D=(b+1)*p),S===h-1?(E=u-g,z=u):(E=S*g,z=(S+1)*g);const I=await kx(e,[O,E],[D,z],[2,3]);o.push(I)}const y=r,w=s;(c!==y||u!==w)&&(e=await ui(e,{size:[y,w]}))}return o.push(e),{frames:o,num_splits_h:d,num_splits_w:h}}},ZL=class extends Ye{constructor(e){super({do_pad:!0,pad_size:{width:e.image_size,height:e.image_size},...e}),this.constant_values=this.config.background_color.map(n=>n*this.rescale_factor)}pad_image(e,n,r,s){return super.pad_image(e,n,r,{constant_values:this.constant_values,center:!0,...s})}},KL=class extends Ye{constructor(e){const{resize_mode:n,fill_color:r,interpolation:s,size:o,...c}=e,u=n==="squash"?{width:o,height:o}:n==="shortest"?{shortest_edge:o}:{longest_edge:o},d=s==="bicubic"?3:2;super({...c,size:u,resample:d,do_center_crop:!0,crop_size:o,do_normalize:!0})}},JL=class extends Ye{},rv=class extends Ye{post_process_panoptic_segmentation(...e){return Yx(...e)}post_process_instance_segmentation(...e){return Xx(...e)}},e4=class extends rv{},t4=class extends rv{},e2=class extends Ye{},n4=class extends e2{},t2=class extends Ye{},a4=class extends t2{},n2=class extends Ye{},r4=class extends n2{},a2=class extends Ye{},s4=class extends a2{},r2=class extends Ye{},i4=class extends r2{},o4=class extends av{},sv=class extends Ye{post_process_object_detection(...e){return Bh(...e)}},l4=class extends sv{},c4=class extends sv{},ha=336,u4=[2,3],{ceil:A_,floor:wl,sqrt:C_}=Math,d4=class extends Ye{constructor(e){super({...e,do_normalize:!0,do_pad:!0,pad_size:"custom",do_convert_rgb:!0,do_resize:!0}),this._num_crops=e.num_crops}calc_num_image_tokens_from_image_size(e,n){const{num_img_tokens:r}=this.config;return wl((wl(n/ha)*wl(e/ha)+1)*r+1+(wl(n/ha)+1)*C_(r))}get_resize_output_image_size(e,n){const r=this._num_crops,[s,o]=e.size;let c=s/o,u=1;for(;u*Math.ceil(u/c)<=r;)u+=1;u-=1;const d=Math.floor(u*336),h=Math.floor(d/c);return[d,h]}pad_image(e,n,r,s={}){const[o,c]=n,u=ha*A_(o/ha),d=ha*A_(c/ha),h=[1,1,1].map((p,g)=>(p-this.image_mean[g])/this.image_std[g]);return super.pad_image(e,n,{width:d,height:u},{center:!0,constant_values:h,...s})}async _call(e,{num_crops:n=null}={}){if(this._num_crops=n??(n=this.config.num_crops),n<4||C_(n)%1!==0)throw new Error("num_crops must be a square number >= 4");Array.isArray(e)||(e=[e]);const r=e.length,s=await Promise.all(e.map(y=>this.preprocess(y))),o=s.map(y=>y.original_size),c=s.map(y=>y.reshaped_input_size),u=[];for(const{pixel_values:y}of s){y.unsqueeze_(0);const[w,b]=y.dims.slice(-2),S=await ui(y,{size:[ha,ha],mode:"bicubic"});if(n>0){const E=[],O=C_(n),z=wl(b/O),D=wl(w/O);for(let j=0;j<O;++j)for(let I=0;I<O;++I){let K,k,ce,oe;j===O-1?(k=w-D,oe=w):(k=j*D,oe=(j+1)*D),I===O-1?(K=b-z,ce=b):(K=I*z,ce=(I+1)*z);const me=await kx(y,[k,K],[oe,ce],u4);E.push(me)}const P=await ui(Rt(E,0),{size:[ha,ha],mode:"bicubic"});u.push(Rt([S,P],0))}else u.push(S)}const d=Nl(u,0),h=c.map(y=>y.map(w=>ha*A_(w/ha))),p=new we("int64",h.flat(),[r,2]),g=h.map(([y,w])=>this.calc_num_image_tokens_from_image_size(w,y));return{pixel_values:d,original_sizes:o,reshaped_input_sizes:c,image_sizes:p,num_img_tokens:g}}},f4=class extends Ye{get_resize_output_image_size(e,n){const{longest_edge:r}=n;if(r===void 0)throw new Error("size must contain 'longest_edge'");const[s,o]=e.size,c=Math.max(s,o)/r;let u=s,d=o;c>1&&(u=Math.floor(s/c),d=Math.floor(o/c));const{patch_size:h,spatial_merge_size:p}=this.config;if(!p)throw new Error("config must contain 'spatial_merge_size'");const g=h*p,y=Math.floor((u-1)/g)+1,w=Math.floor((d-1)/g)+1;return[y*g,w*g]}},h4=class extends Ye{},p4=class extends Ye{async _call(e,...n){const{pixel_values:r,original_sizes:s,reshaped_input_sizes:o}=await super._call(e,...n);let c=r;const{temporal_patch_size:u,merge_size:d,patch_size:h}=this.config;c.dims[0]===1&&(c=Rt(Array.from({length:u},()=>c),0));const p=c.dims[0]/u,g=c.dims[1],y=Math.floor(c.dims[2]/h),w=Math.floor(c.dims[3]/h),b=c.view(p,u,g,Math.floor(y/d),d,h,Math.floor(w/d),d,h).permute(0,3,6,4,7,2,1,5,8).view(p*y*w,g*u*h*h),S=new we("int64",[p,y,w],[1,3]);return{pixel_values:b,image_grid_thw:S,original_sizes:s,reshaped_input_sizes:o}}},m4=class extends Ye{post_process_object_detection(...e){return Bh(...e)}},k_=class extends Ye{reshape_input_points(e,n,r,s=!1){e=structuredClone(e);let o=A1(e);if(o.length===3)s||(o=[1,...o]),e=[e];else if(o.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 c=0;c<e.length;++c){const[u,d]=n[c],[h,p]=r[c],g=[p/d,h/u];for(let y=0;y<e[c].length;++y)for(let w=0;w<e[c][y].length;++w)for(let b=0;b<e[c][y][w].length;++b)e[c][y][w][b]*=g[b%2]}return new we("float32",Float32Array.from(e.flat(1/0)),o)}add_input_labels(e,n){let r=A1(e);if(r.length===2)r=[1,...r],e=[e];else if(r.length!==3)throw Error("The input_points must be a 4D tensor of shape `batch_size`, `point_batch_size`, `nb_points_per_image`, `2`.");if(r.some((s,o)=>s!==n.dims[o]))throw Error(`The first ${r.length} dimensions of 'input_points' and 'input_labels' must be the same.`);return new we("int64",e.flat(1/0).map(BigInt),r)}async _call(e,{input_points:n=null,input_labels:r=null,input_boxes:s=null}={}){const o=await super._call(e);if(n&&(o.input_points=this.reshape_input_points(n,o.original_sizes,o.reshaped_input_sizes)),r){if(!o.input_points)throw Error("`input_points` must be provided if `input_labels` are provided.");o.input_labels=this.add_input_labels(r,o.input_points)}return s&&(o.input_boxes=this.reshape_input_points(s,o.original_sizes,o.reshaped_input_sizes,!0)),o}async post_process_masks(e,n,r,{mask_threshold:s=0,binarize:o=!0,pad_size:c=null}={}){const u=[];c=c??this.pad_size??this.size;const d=[c.height,c.width];for(let h=0;h<n.length;++h){const p=n[h],g=r[h];let y=await ui(e[h],{mode:"bilinear",size:d});if(y=y.slice(null,null,[0,g[0]],[0,g[1]]),y=await ui(y,{mode:"bilinear",size:p}),o){const w=y.data,b=new Uint8Array(w.length);for(let S=0;S<w.length;++S)w[S]>s&&(b[S]=1);y=new we("bool",b,y.dims)}u.push(y)}return u}generate_crop_boxes(e,n,{crop_n_layers:r=0,overlap_ratio:s=512/1500,points_per_crop:o=32,crop_n_points_downscale_factor:c=1}={}){}},s2=class extends Ye{post_process_semantic_segmentation(...e){return Hx(...e)}},_4=class extends s2{},i2=class extends Ye{post_process_semantic_segmentation(...e){return Hx(...e)}},g4=class extends i2{},v4=class extends Ye{},y4=class extends Ye{pad_image(e,n,r,s={}){const[o,c,u]=n;return super.pad_image(e,n,{width:c+(r-c%r)%r,height:o+(r-o%r)%r},{mode:"symmetric",center:!1,constant_values:-1,...s})}},o2=class extends Ye{},w4=class extends o2{},b4=class extends Ye{async _call(e,n){Array.isArray(e)||(e=[e]),Array.isArray(n)||(n=[n]);const r=await Promise.all(e.map(c=>this.preprocess(c))),s=await Promise.all(n.map(c=>this.preprocess(c,{do_normalize:!1,do_convert_rgb:!1,do_convert_grayscale:!0})));return{pixel_values:Nl(r.map((c,u)=>Rt([c.pixel_values,s[u].pixel_values],0)),0),original_sizes:r.map(c=>c.original_size),reshaped_input_sizes:r.map(c=>c.reshaped_input_size)}}},M4=class extends Ye{post_process_pose_estimation(e,n,{threshold:r=null}={}){const s=e.tolist(),[o,c,u,d]=e.dims,h=[];for(let p=0;p<o;++p){const g=s[p],y=n[p],w=[];for(let b=0;b<y.length;++b){const S=y[b],E=[],O=[],z=[],D=S.at(-2)/d,P=S.at(-1)/u;for(let j=0;j<g.length;++j){let[I,K]=[0,0],k=0,ce=-1/0;const oe=g[j];for(let _e=0;_e<oe.length;++_e){const me=oe[_e];for(let ne=0;ne<me.length;++ne){const ee=me[ne];k+=ee,ce=Math.max(ce,ee),I+=(ne+.5)*ee,K+=_e*ee}}if(r!=null&&ce<r)continue;const pe=[D*I/k,P*K/k];E.push(pe),z.push(j),O.push(ce)}w.push({bbox:S,scores:O,labels:z,keypoints:E})}h.push(w)}return h}},l2=class extends Ye{post_process_object_detection(...e){return Bh(...e)}},x4=class extends l2{},aa=class{static async from_pretrained(e,n={}){const r=await Fr(e,tv,!0,n),s=r.image_processor_type??r.feature_extractor_type;let o=Ah[s==null?void 0:s.replace(/Fast$/,"")];return o||(s!==void 0&&qe.warn(`Image processor type '${s}' not found, assuming base ImageProcessor. Please report this at ${Jg}.`),o=Ye),new o(r)}},Xf,T4=(Xf=class extends kt{constructor(e,n,r){super(e,n,r);const{tasks_answer_post_processing_type:s,task_prompts_without_inputs:o,task_prompts_with_input:c}=this.image_processor.config;this.tasks_answer_post_processing_type=new Map(Object.entries(s??{})),this.task_prompts_without_inputs=new Map(Object.entries(o??{})),this.task_prompts_with_input=new Map(Object.entries(c??{})),this.regexes={quad_boxes:/(.+?)<loc_(\d+)><loc_(\d+)><loc_(\d+)><loc_(\d+)><loc_(\d+)><loc_(\d+)><loc_(\d+)><loc_(\d+)>/gm,bboxes:/([^<]+)?<loc_(\d+)><loc_(\d+)><loc_(\d+)><loc_(\d+)>/gm},this.size_per_bin=1e3}construct_prompts(e){typeof e=="string"&&(e=[e]);const n=[];for(const r of e)if(this.task_prompts_without_inputs.has(r))n.push(this.task_prompts_without_inputs.get(r));else{for(const[s,o]of this.task_prompts_with_input)if(r.includes(s)){n.push(o.replaceAll("{input}",r).replaceAll(s,""));break}n.length!==e.length&&n.push(r)}return n}post_process_generation(e,n,r){const s=this.tasks_answer_post_processing_type.get(n)??"pure_text";e=e.replaceAll("<s>","").replaceAll("</s>","");let o;switch(s){case"pure_text":o=e;break;case"description_with_bboxes":case"bboxes":case"phrase_grounding":case"ocr":const c=s==="ocr"?"quad_boxes":"bboxes",u=e.matchAll(this.regexes[c]),d=[],h=[];for(const[p,g,...y]of u)d.push(g?g.trim():d.at(-1)??""),h.push(y.map((w,b)=>(Number(w)+.5)/this.size_per_bin*r[b%2]));o={labels:d,[c]:h};break;default:throw new Error(`Task "${n}" (of type "${s}") not yet implemented.`)}return{[n]:o}}async _call(e,n=null,r={}){if(!e&&!n)throw new Error("Either text or images must be provided");const s=await this.image_processor(e,r),o=n?this.tokenizer(this.construct_prompts(n),r):{};return{...s,...o}}},L(Xf,"tokenizer_class",He),L(Xf,"image_processor_class",aa),Xf),Yi,S4=(Yi=class extends kt{constructor(e,n,r){super(e,n,r),this.audio_seq_length=this.config.audio_seq_length,this.image_seq_length=this.config.image_seq_length;const{audio_token_id:s,boa_token:o,audio_token:c,eoa_token:u,image_token_id:d,boi_token:h,image_token:p,eoi_token:g}=this.tokenizer.config;this.audio_token_id=s,this.boa_token=o,this.audio_token=c;const y=c.repeat(this.audio_seq_length);this.full_audio_sequence=`
+
+${o}${y}${u}
+
+`,this.image_token_id=d,this.boi_token=h,this.image_token=p;const w=p.repeat(this.image_seq_length);this.full_image_sequence=`
+
+${h}${w}${g}
+
+`}async _call(e,n=null,r=null,s={}){typeof e=="string"&&(e=[e]);let o;r&&(o=await this.feature_extractor(r,s),e=e.map(d=>d.replaceAll(this.audio_token,this.full_audio_sequence)));let c;return n&&(c=await this.image_processor(n,s),e=e.map(d=>d.replaceAll(this.image_token,this.full_image_sequence))),{...this.tokenizer(e,s),...c,...o}}},L(Yi,"image_processor_class",aa),L(Yi,"feature_extractor_class",vs),L(Yi,"tokenizer_class",He),L(Yi,"uses_processor_config",!0),L(Yi,"uses_chat_template_file",!0),Yi);function E4(e,n){const s=e.dims.at(-1)-1,o=e.tolist();o.fill(!1,0,1),o.fill(!1,s);const c=n.tolist();return o.map((u,d)=>u?d:null).filter(u=>u!==null).map(u=>c[u])}var Qf,A4=(Qf=class extends kt{async _call(e,n,r={}){const s=e?await this.image_processor(e,r):{};return{...n?this.tokenizer(n,r):{},...s}}post_process_grounded_object_detection(e,n,{box_threshold:r=.25,text_threshold:s=.25,target_sizes:o=null}={}){const{logits:c,pred_boxes:u}=e,d=c.dims[0];if(o!==null&&o.length!==d)throw Error("Make sure that you pass in as many target sizes as the batch dimension of the logits");const h=c.dims.at(1),p=c.sigmoid(),g=p.max(-1).tolist(),y=u.tolist().map(b=>b.map(S=>$x(S))),w=[];for(let b=0;b<d;++b){const S=o!==null?o[b]:null;S!==null&&(y[b]=y[b].map(P=>P.map((j,I)=>j*S[(I+1)%2])));const E=g[b],O=[],z=[],D=[];for(let P=0;P<h;++P){const j=E[P];if(j<=r)continue;const I=y[b][P],K=p[b][P];O.push(j),D.push(I);const k=E4(K.gt(s),n[b]);z.push(k)}w.push({scores:O,boxes:D,labels:this.batch_decode(z)})}return w}},L(Qf,"tokenizer_class",He),L(Qf,"image_processor_class",aa),Qf);function C4(e,n,r,s,o,c){let u="";for(let d=0;d<n;++d){for(let h=0;h<r;++h)u+=s+`<row_${d+1}_col_${h+1}>`+o.repeat(e);u+=`
+`}return u+=`
+${s}${c}`+o.repeat(e)+`${s}`,u}function k4(e,n,r,s){return`${n}${s}`+r.repeat(e)+`${n}`}function O4(e,n,r,s,o,c){return e===0&&n===0?k4(r,s,o,c):C4(r,e,n,s,o,c)}var Nu,q1=(Nu=class extends kt{constructor(){super(...arguments);L(this,"fake_image_token","<fake_token_around_image>");L(this,"image_token","<image>");L(this,"global_img_token","<global-img>")}async _call(n,r=null,s={}){s.return_row_col_info??(s.return_row_col_info=!0);let o;r&&(o=await this.image_processor(r,s)),Array.isArray(n)||(n=[n]);const c=o.rows??[new Array(n.length).fill(0)],u=o.cols??[new Array(n.length).fill(0)],d=this.config.image_seq_len,h=[],p=[];for(let y=0;y<n.length;++y){const w=n[y],b=c[y],S=u[y];h.push(h3(w,this.image_token));const E=b.map((D,P)=>O4(D,S[P],d,this.fake_image_token,this.image_token,this.global_img_token)),O=w.split(this.image_token);if(O.length===0)throw new Error("The image token should be present in the text.");let z=O[0];for(let D=0;D<E.length;++D)z+=E[D]+O[D+1];p.push(z)}return{...this.tokenizer(p),...o}}},L(Nu,"image_processor_class",aa),L(Nu,"tokenizer_class",He),L(Nu,"uses_processor_config",!0),Nu),Du,z4=(Du=class extends kt{constructor(e,n,r){super(e,n,r),this.image_tag=this.config.image_tag,this.image_start_tag=this.config.image_start_tag,this.image_end_tag=this.config.image_end_tag,this.num_image_tokens=this.config.num_image_tokens}async _call(e,{images:n=null,chat_template:r="default"}={}){n?Array.isArray(n)||(n=[n]):n=await Promise.all(e.filter(E=>E.images).flatMap(E=>E.images).map(E=>or.read(E)));const s=this.tokenizer,o=s.apply_chat_template(e,{tokenize:!1,add_generation_prompt:!0,chat_template:r}),c=E=>s.encode(E,{add_special_tokens:!1}),u=o.split(this.image_tag),d=u.length-1;if(n.length!==d)throw new Error(`Number of images provided (${n.length}) does not match number of "${this.image_tag}" image tags (${d})`);const[h,p,g]=s.convert_tokens_to_ids([this.image_tag,this.image_start_tag,this.image_end_tag]);let y=c(u[0]),w=new Array(y.length).fill(!1);for(let E=1;E<u.length;++E){const O=new Array(this.num_image_tokens).fill(h),z=c(u[E]);y=Dr(y,[p],O,[g],z);const D=new Array(this.num_image_tokens).fill(!0);w=Dr(w,[!1],D,[!1],new Array(z.length).fill(!1))}const b=[1,y.length],S={input_ids:new we("int64",y,b),attention_mask:new we("int64",new Array(y.length).fill(1),b),images_seq_mask:new we("bool",w,b),images_emb_mask:new we("bool",new Array(d*this.num_image_tokens).fill(!0),[1,d,this.num_image_tokens])};if(n&&n.length>0){const E=await this.image_processor(n);return E.pixel_values.unsqueeze_(0),{...S,...E}}return S}},L(Du,"image_processor_class",aa),L(Du,"tokenizer_class",He),L(Du,"uses_processor_config",!0),Du),Wf,L4=(Wf=class extends kt{async _call(e=null,n=null,r={}){if(!e&&!n)throw new Error("Either text or images must be provided");const s=e?this.tokenizer(e,r):{},o=n?await this.image_processor(n,r):{};return{...s,...o}}},L(Wf,"tokenizer_class",He),L(Wf,"image_processor_class",aa),Wf),Fu,N4=(Fu=class extends kt{async _call(e,n=null,r={}){const s=await this.image_processor(e,r);if(n){const[c,u]=s.pixel_values.dims.slice(-2),{image_token:d,patch_size:h,num_additional_image_tokens:p}=this.config,g=Math.floor(c/h)*Math.floor(u/h)+p;n=structuredClone(n),Array.isArray(n)||(n=[n]);for(let y=0;y<n.length;++y)n[y]=n[y].replace(d,d.repeat(g))}const o=n?this.tokenizer(n,r):{};return{...s,...o}}},L(Fu,"tokenizer_class",He),L(Fu,"image_processor_class",aa),L(Fu,"uses_processor_config",!0),Fu),$1={char:["char_decode",1],bpe:["bpe_decode",2],wp:["wp_decode",102]},Zf,D4=(Zf=class extends kt{get char_tokenizer(){return this.components.char_tokenizer}get bpe_tokenizer(){return this.components.bpe_tokenizer}get wp_tokenizer(){return this.components.wp_tokenizer}_decode_helper(e,n){if(!$1.hasOwnProperty(n))throw new Error(`Format ${n} is not supported.`);const[r,s]=$1[n],o=this[r].bind(this),[c,u]=e.dims,d=[],h=[],p=e.tolist();for(let y=0;y<c;++y){const w=p[y],b=[],S=[];for(let O=1;O<u;++O){const[z,D]=Zt(Tn(w[O]));if(S.push(z),D==s)break;b.push(D)}const E=S.length>0?S.reduce((O,z)=>O*z,1):0;h.push(b),d.push(E)}return[o(h),d]}char_decode(e){return this.char_tokenizer.batch_decode(e).map(n=>n.replaceAll(" ",""))}bpe_decode(e){return this.bpe_tokenizer.batch_decode(e)}wp_decode(e){return this.wp_tokenizer.batch_decode(e).map(n=>n.replaceAll(" ",""))}batch_decode([e,n,r]){const[s,o]=this._decode_helper(e,"char"),[c,u]=this._decode_helper(n,"bpe"),[d,h]=this._decode_helper(r,"wp"),p=[],g=[];for(let y=0;y<s.length;++y){const[w,b]=Zt([o[y],u[y],h[y]]);p.push([s[y],c[y],d[y]][b]),g.push(w)}return{generated_text:p,scores:g,char_preds:s,bpe_preds:c,wp_preds:d}}static async from_pretrained(...e){const n=await super.from_pretrained(...e),r=await He.from_pretrained("Xenova/gpt2"),s=await He.from_pretrained("Xenova/bert-base-uncased");return n.components={image_processor:n.image_processor,char_tokenizer:n.tokenizer,bpe_tokenizer:r,wp_tokenizer:s},n}async _call(e,n=null){const r=await this.image_processor(e);return n&&(r.labels=this.tokenizer(n).input_ids),r}},L(Zf,"tokenizer_class",He),L(Zf,"image_processor_class",aa),Zf),Kf,F4=(Kf=class extends kt{async _call(e){return await this.feature_extractor(e)}},L(Kf,"tokenizer_class",He),L(Kf,"feature_extractor_class",vs),Kf),Jf,B4=(Jf=class extends kt{},L(Jf,"tokenizer_class",He),L(Jf,"image_processor_class",aa),Jf),bl="<image>";function P4(e,n,r,s,o){return`${s.repeat(r*o)}${n}${e}
+`}var Bu,R4=(Bu=class extends kt{async _call(e,n=null,r={}){n||(qe.warn("You are using PaliGemma without a text prefix. It will perform as a picture-captioning model."),n=""),Array.isArray(e)||(e=[e]),Array.isArray(n)||(n=[n]);const s=this.tokenizer.bos_token,o=this.image_processor.config.image_seq_length;let c;n.some(h=>h.includes(bl))?c=n.map(h=>{const p=h.replaceAll(bl,bl.repeat(o)),g=p.lastIndexOf(bl),y=g===-1?0:g+bl.length;return p.slice(0,y)+s+p.slice(y)+`
+`}):(qe.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 `<image>` tokens in the very beginning of your text. For this call, we will infer how many images each text has and add special tokens."),c=n.map(h=>P4(h,s,o,bl,e.length)));const u=this.tokenizer(c,r);return{...await this.image_processor(e,r),...u}}},L(Bu,"tokenizer_class",He),L(Bu,"image_processor_class",aa),L(Bu,"uses_processor_config",!1),Bu),H1="<|image|>",U4=/<\|image_\d+\|>/g,eh,G4=(eh=class extends kt{async _call(e,n=null,{padding:r=!0,truncation:s=!0,num_crops:o=null}={}){Array.isArray(e)||(e=[e]);let c,u;if(n){u=await this.image_processor(n,{num_crops:o});const{num_img_tokens:d}=u,h=e.map((g,y)=>g.split(U4).join(H1.repeat(d[y])));c=this.tokenizer(h,{padding:r,truncation:s});const p=this.tokenizer._tokenizer.token_to_id(H1);c.input_ids.map_(g=>g==p?-g:g)}else c=this.tokenizer(e);return{...c,...u}}},L(eh,"image_processor_class",aa),L(eh,"tokenizer_class",He),eh),Pu,I4=(Pu=class extends kt{async _call(e,n=null,r={}){const s=await this.image_processor(e,r);if(n){const[c,u]=s.pixel_values.dims.slice(-2),{image_token:d,image_break_token:h,image_end_token:p,patch_size:g,spatial_merge_size:y}=this.config,w=g*y,b=Math.floor(c/w),S=Math.floor(u/w);n=structuredClone(n),Array.isArray(n)||(n=[n]);for(let E=0;E<n.length;++E){const O=d.repeat(S),z=O+h,D=O+p,P=z.repeat(b-1)+D;n[E]=n[E].replace(d,P)}}const o=n?this.tokenizer(n,r):{};return{...s,...o}}},L(Pu,"tokenizer_class",He),L(Pu,"image_processor_class",aa),L(Pu,"uses_processor_config",!0),Pu),L_,j4=(L_=class extends kt{async _call(e){return await this.feature_extractor(e)}post_process_speaker_diarization(...e){return this.feature_extractor.post_process_speaker_diarization(...e)}get sampling_rate(){return this.feature_extractor.config.sampling_rate}},L(L_,"feature_extractor_class",Vx),L_),th,V4=(th=class extends kt{async _call(e,n=null,...r){Array.isArray(e)||(e=[e]);let s,o;if(n&&(s=await this.image_processor(n),o=s.image_grid_thw),o){let u=this.image_processor.config.merge_size**2,d=0;const h=o.tolist();e=e.map(p=>{for(;p.includes("<|image_pad|>");){const g=Number(h[d++].reduce((y,w)=>y*w,1n));p=p.replace("<|image_pad|>","<|placeholder|>".repeat(Math.floor(g/u)))}return p.replaceAll("<|placeholder|>","<|image_pad|>")})}return{...this.tokenizer(e),...s}}},L(th,"image_processor_class",aa),L(th,"tokenizer_class",He),th),N_,c2=(N_=class extends kt{async _call(...e){return await this.image_processor(...e)}post_process_masks(...e){return this.image_processor.post_process_masks(...e)}reshape_input_points(...e){return this.image_processor.reshape_input_points(...e)}},L(N_,"image_processor_class",aa),N_),u2=class extends c2{},q4=class extends u2{},nh,$4=(nh=class extends kt{async _call(e){return await this.feature_extractor(e)}},L(nh,"tokenizer_class",He),L(nh,"feature_extractor_class",vs),nh),Ru,H4=(Ru=class extends kt{async _call(e,n=null,r={}){if(Array.isArray(e))throw new Error("Batched inputs are not supported yet.");let s={};if(n){const c=n.length,{input_features:u}=await this.feature_extractor(n,{...r,max_length:c}),d=Math.round(c/this.config.encoder_ds_factor+1e-4),h=1+Math.ceil(d/this.config.stack_factor);s.audio_token_len=[h],s.audio_values=u;const p=this.config.audio_placeholder;if(!e.includes(p))throw new Error(`The input text does not contain the image token ${p}.`);e=e.replaceAll(p,p.repeat(h))}return{...this.tokenizer(e,{add_special_tokens:!1,...r}),...s}}},L(Ru,"tokenizer_class",He),L(Ru,"feature_extractor_class",vs),L(Ru,"uses_processor_config",!0),Ru),qf="[AUDIO]",Y4="[BEGIN_AUDIO]",X4=375;function Q4(e,n){const r=[];for(let s=0;s<e.length;s+=n)r.push(e.subarray(s,Math.min(s+n,e.length)));return r}var Uu,W4=(Uu=class extends kt{async _call(e,n=null,r={}){if(Array.isArray(e))throw new Error("Batched inputs are not supported yet.");const s={};if(n){if(!e.includes(qf))throw new Error(`The input text does not contain the audio token ${qf}.`);Array.isArray(n)||(n=[n]);const c=e.split(qf),u=c.length-1;if(u!==n.length)throw new Error(`The number of audio inputs (${n.length}) does not match the number of audio tokens in the text (${u}).`);const d=this.feature_extractor.config.n_samples,h=n.map(b=>Q4(b,d)),p=h.map(b=>b.length),g=h.flat(),y=(await Promise.all(g.map(b=>this.feature_extractor(b,r)))).map(b=>b.input_features);s.audio_values=y.length>1?Rt(y,0):y[0];let w=c[0];for(let b=0;b<p.length;++b){w+=Y4;for(let S=0;S<p[b];++S)w+=qf.repeat(X4);w+=c[b+1]}e=w}return{...this.tokenizer(e,{add_special_tokens:!1,...r}),...s}}},L(Uu,"tokenizer_class",He),L(Uu,"feature_extractor_class",vs),L(Uu,"uses_processor_config",!1),Uu),ah,Z4=(ah=class extends kt{async _call(e){return await this.feature_extractor(e)}},L(ah,"tokenizer_class",He),L(ah,"feature_extractor_class",vs),ah),rh,K4=(rh=class extends kt{async _call(e){return await this.feature_extractor(e)}},L(rh,"tokenizer_class",He),L(rh,"feature_extractor_class",vs),rh),sh,J4=(sh=class extends kt{async _call(e){return await this.feature_extractor(e)}},L(sh,"tokenizer_class",He),L(sh,"feature_extractor_class",vs),sh),qn=class{static async from_pretrained(e,n={}){const r=await Fr(e,tv,!0,n),{image_processor_type:s,feature_extractor_type:o,processor_class:c}=r;if(c&&bg[c])return bg[c].from_pretrained(e,n);if(!s&&!o)throw new Error("No `image_processor_type` or `feature_extractor_type` found in the config.");const u={};if(s){const h=Ah[s.replace(/Fast$/,"")];if(!h)throw new Error(`Unknown image_processor_type: '${s}'.`);u.image_processor=new h(r)}if(o){const h=Ah[o];if(h)u.image_processor=new h(r);else{const p=nv[o];if(!p)throw new Error(`Unknown feature_extractor_type: '${o}'.`);u.feature_extractor=new p(r)}}const d={};return new kt(d,u,null)}};async function eN(e,n){return await Fr(e,"config.json",!0,n)}function xl(e){const n={};let 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this.bad_words_ids){if(o.length<c.length-1)continue;let u=!0;for(let d=1;d<=c.length-1;++d)if(c.at(-d-1)!=o.at(-d)){u=!1;break}u&&(s[c.at(-1)]=-1/0)}}return n}},gN=class extends Pr{constructor(e){if(super(),e<=1)throw new Error(`Require guidance scale >1 to use the classifier free guidance processor, got guidance scale ${e}.`);this.guidance_scale=e}_call(e,n){if(n.dims[0]!==2*e.length)throw new Error(`Logits should have twice the batch size of the input ids, the first half of batches corresponding to the conditional inputs, and the second half of batches corresponding to the unconditional inputs. 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n}},m2=class{constructor(e){L(this,"max_length",20);L(this,"max_new_tokens",null);L(this,"min_length",0);L(this,"min_new_tokens",null);L(this,"early_stopping",!1);L(this,"max_time",null);L(this,"do_sample",!1);L(this,"num_beams",1);L(this,"num_beam_groups",1);L(this,"penalty_alpha",null);L(this,"use_cache",!0);L(this,"temperature",1);L(this,"top_k",50);L(this,"top_p",1);L(this,"typical_p",1);L(this,"epsilon_cutoff",0);L(this,"eta_cutoff",0);L(this,"diversity_penalty",0);L(this,"repetition_penalty",1);L(this,"encoder_repetition_penalty",1);L(this,"length_penalty",1);L(this,"no_repeat_ngram_size",0);L(this,"bad_words_ids",null);L(this,"force_words_ids",null);L(this,"renormalize_logits",!1);L(this,"constraints",null);L(this,"forced_bos_token_id",null);L(this,"forced_eos_token_id",null);L(this,"remove_invalid_values",!1);L(this,"exponential_decay_length_penalty",null);L(this,"suppress_tokens",null);L(this,"streamer",null);L(this,"begin_suppress_tokens",null);L(this,"forced_decoder_ids",null);L(this,"guidance_scale",null);L(this,"num_return_sequences",1);L(this,"output_attentions",!1);L(this,"output_hidden_states",!1);L(this,"output_scores",!1);L(this,"return_dict_in_generate",!1);L(this,"pad_token_id",null);L(this,"bos_token_id",null);L(this,"eos_token_id",null);L(this,"encoder_no_repeat_ngram_size",0);L(this,"decoder_start_token_id",null);L(this,"generation_kwargs",{});Object.assign(this,ta(e,Object.getOwnPropertyNames(this)))}},iv=class extends Ra{_call(e,n){throw Error("StoppingCriteria needs to be subclassed")}},yN=class _2 extends Ra{constructor(){super(),this.criteria=[]}push(n){this.criteria.push(n)}extend(n){n instanceof _2?n=n.criteria:n instanceof iv&&(n=[n]),this.criteria.push(...n)}_call(n,r){const s=new Array(n.length).fill(!1);for(const o of this.criteria){const c=o(n,r);for(let u=0;u<s.length;++u)s[u]||(s[u]=c[u])}return s}[Symbol.iterator](){return this.criteria.values()}},wN=class extends iv{constructor(e,n=null){super(),this.max_length=e,this.max_position_embeddings=n}_call(e){return e.map(n=>n.length>=this.max_length)}},bN=class extends iv{constructor(e){super(),Array.isArray(e)||(e=[e]),this.eos_token_id=e}_call(e,n){return e.map(r=>{const s=r.at(-1);return this.eos_token_id.some(o=>s==o)})}},Ph=class extends Ra{constructor(e){super(),this.generation_config=e}async _call(e){return this.sample(e)}async sample(e){throw Error("sample should be implemented in subclasses.")}getLogits(e,n){let r=e.dims.at(-1),s=e.data;if(n===-1)s=s.slice(-r);else{let o=n*r;s=s.slice(o,o+r)}return s}randomSelect(e){return Z3(e)}static getSampler(e){if(e.do_sample)return new xN(e);if(e.num_beams>1)return new TN(e);if(e.num_return_sequences>1)throw Error(`num_return_sequences has to be 1 when doing greedy search, but is ${e.num_return_sequences}.`);return new MN(e)}},MN=class extends Ph{async sample(e){const n=Zt(e.data)[1];return[[BigInt(n),0]]}},xN=class extends Ph{async sample(e){let n=e.dims.at(-1);this.generation_config.top_k>0&&(n=Math.min(this.generation_config.top_k,n));const[r,s]=await Ll(e,n),o=Tn(r.data);return Array.from({length:this.generation_config.num_beams},()=>{const c=this.randomSelect(o);return[s.data[c],Math.log(o[c])]})}},TN=class extends Ph{async sample(e){let n=e.dims.at(-1);this.generation_config.top_k>0&&(n=Math.min(this.generation_config.top_k,n));const[r,s]=await Ll(e,n),o=Tn(r.data);return Array.from({length:this.generation_config.num_beams},(c,u)=>[s.data[u],Math.log(o[u])])}},Vu=null;function SN(e){Vu=e}function Sg(e){if(e instanceof we)return e;if(e.length===0)throw Error("items must be non-empty");if(Array.isArray(e[0])){if(e.some(n=>n.length!==e[0].length))throw Error("Unable to create tensor, you should probably activate truncation and/or padding with 'padding=True' and/or 'truncation=True' to have batched tensors with the same length.");return new we("int64",BigInt64Array.from(e.flat().map(n=>BigInt(n))),[e.length,e[0].length])}else return new we("int64",BigInt64Array.from(e.map(n=>BigInt(n))),[1,e.length])}function g2(e){return new we("bool",[e],[1])}var ye={EncoderOnly:0,EncoderDecoder:1,Seq2Seq:2,Vision2Seq:3,DecoderOnly:4,DecoderOnlyWithoutHead:5,MaskGeneration:6,ImageTextToText:7,Musicgen:8,MultiModality:9,Phi3V:10,AudioTextToText:11,AutoEncoder:12,ImageAudioTextToText:13,Supertonic:14,Chatterbox:15},Y1={[ye.DecoderOnly]:{can_generate:!0,forward:_s,prepare_inputs:Ch},[ye.DecoderOnlyWithoutHead]:{can_generate:!1,forward:_s,prepare_inputs:Ch},[ye.Seq2Seq]:{can_generate:!0,forward:$f,prepare_inputs:kh},[ye.Vision2Seq]:{can_generate:!0,forward:$f,prepare_inputs:kh},[ye.Musicgen]:{can_generate:!0,forward:$f},[ye.EncoderDecoder]:{can_generate:!1,forward:$f},[ye.ImageTextToText]:{can_generate:!0,forward:CN,prepare_inputs:Hf},[ye.AudioTextToText]:{can_generate:!0,forward:AN,prepare_inputs:Hf},[ye.Phi3V]:{can_generate:!0,prepare_inputs:Hf},[ye.ImageAudioTextToText]:{can_generate:!0,prepare_inputs:Hf},[ye.MultiModality]:{can_generate:!0},[ye.AutoEncoder]:{can_generate:!1,forward:EN},[ye.Chatterbox]:{can_generate:!0,forward:fi},default:{can_generate:!1,forward:fi}},Cl=new Map,ov=new Map,Al=new Map,Y=class extends Ra{constructor(n,r,s){super();L(this,"main_input_name","input_ids");L(this,"forward_params",["input_ids","attention_mask"]);L(this,"_return_dict_in_generate_keys",null);this.config=n,this.sessions=r,this.configs=s;const o=Al.get(this.constructor),c=Cl.get(o),u=Y1[c]??Y1.default;this.can_generate=u.can_generate,this._forward=u.forward,this._prepare_inputs_for_generation=u.prepare_inputs,this.can_generate&&this.forward_params.push("past_key_values"),this.custom_config=this.config["transformers.js_config"]??{}}async dispose(){var r;const n=[];for(const s of Object.values(this.sessions))n.push((r=s.release)==null?void 0:r.call(s));return await Promise.all(n)}static async from_pretrained(n,{progress_callback:r=null,config:s=null,cache_dir:o=null,local_files_only:c=!1,revision:u="main",model_file_name:d=null,subfolder:h="onnx",device:p=null,dtype:g=null,use_external_data_format:y=null,session_options:w={}}={}){const b={progress_callback:r,config:s,cache_dir:o,local_files_only:c,revision:u,model_file_name:d,subfolder:h,device:p,dtype:g,use_external_data_format:y,session_options:w},S=Al.get(this),E=Cl.get(S);s=b.config=await f2.from_pretrained(n,b);let O;if(E===ye.DecoderOnly)O=await Promise.all([ea(n,{model:b.model_file_name??"model"},b,"model"),ps(n,{generation_config:"generation_config.json"},b)]);else if(E===ye.Seq2Seq||E===ye.Vision2Seq)O=await Promise.all([ea(n,{model:"encoder_model",decoder_model_merged:"decoder_model_merged"},b,"decoder_model_merged"),ps(n,{generation_config:"generation_config.json"},b)]);else if(E===ye.MaskGeneration)O=await Promise.all([ea(n,{model:"vision_encoder",prompt_encoder_mask_decoder:"prompt_encoder_mask_decoder"},b)]);else if(E===ye.EncoderDecoder)O=await Promise.all([ea(n,{model:"encoder_model",decoder_model_merged:"decoder_model_merged"},b,"decoder_model_merged")]);else if(E===ye.ImageTextToText){const z={embed_tokens:"embed_tokens",vision_encoder:"vision_encoder",decoder_model_merged:"decoder_model_merged"};s.is_encoder_decoder&&(z.model="encoder_model"),O=await Promise.all([ea(n,z,b,"decoder_model_merged"),ps(n,{generation_config:"generation_config.json"},b)])}else if(E===ye.AudioTextToText){const z={embed_tokens:"embed_tokens",audio_encoder:"audio_encoder",decoder_model_merged:"decoder_model_merged"};O=await Promise.all([ea(n,z,b,"decoder_model_merged"),ps(n,{generation_config:"generation_config.json"},b)])}else if(E===ye.ImageAudioTextToText){const z={embed_tokens:"embed_tokens",audio_encoder:"audio_encoder",vision_encoder:"vision_encoder",decoder_model_merged:"decoder_model_merged"};O=await Promise.all([ea(n,z,b),ps(n,{generation_config:"generation_config.json"},b)])}else if(E===ye.Musicgen)O=await Promise.all([ea(n,{model:"text_encoder",decoder_model_merged:"decoder_model_merged",encodec_decode:"encodec_decode"},b,"decoder_model_merged"),ps(n,{generation_config:"generation_config.json"},b)]);else if(E===ye.MultiModality)O=await Promise.all([ea(n,{prepare_inputs_embeds:"prepare_inputs_embeds",model:"language_model",lm_head:"lm_head",gen_head:"gen_head",gen_img_embeds:"gen_img_embeds",image_decode:"image_decode"},b,"model"),ps(n,{generation_config:"generation_config.json"},b)]);else if(E===ye.Phi3V)O=await Promise.all([ea(n,{prepare_inputs_embeds:"prepare_inputs_embeds",model:"model",vision_encoder:"vision_encoder"},b,"model"),ps(n,{generation_config:"generation_config.json"},b)]);else if(E===ye.Chatterbox)O=await Promise.all([ea(n,{embed_tokens:"embed_tokens",speech_encoder:"speech_encoder",model:"language_model",conditional_decoder:"conditional_decoder"},b,"model"),ps(n,{generation_config:"generation_config.json"},b)]);else if(E===ye.AutoEncoder)O=await Promise.all([ea(n,{encoder_model:"encoder_model",decoder_model:"decoder_model"},b)]);else if(E===ye.Supertonic)O=await Promise.all([ea(n,{text_encoder:"text_encoder",latent_denoiser:"latent_denoiser",voice_decoder:"voice_decoder"},b)]);else{if(E===void 0){const z=S??(s==null?void 0:s.model_type);z!=="custom"&&qe.warn(`Model type for '${z}' not found, assuming encoder-only architecture. Please report this at ${Jg}.`)}O=await Promise.all([ea(n,{model:b.model_file_name??"model"},b)])}return new this(s,...O)}async _call(n){return await this.forward(n)}async forward(n){return await this._forward(this,n)}get generation_config(){var n;return((n=this.configs)==null?void 0:n.generation_config)??null}_get_logits_processor(n,r,s=null){const o=new Tg;if(n.repetition_penalty!==null&&n.repetition_penalty!==1&&o.push(new hN(n.repetition_penalty)),n.no_repeat_ngram_size!==null&&n.no_repeat_ngram_size>0&&o.push(new fN(n.no_repeat_ngram_size)),n.bad_words_ids!==null&&o.push(new _N(n.bad_words_ids,n.eos_token_id)),n.min_length!==null&&n.eos_token_id!==null&&n.min_length>0&&o.push(new pN(n.min_length,n.eos_token_id)),n.min_new_tokens!==null&&n.eos_token_id!==null&&n.min_new_tokens>0&&o.push(new mN(r,n.min_new_tokens,n.eos_token_id)),n.forced_bos_token_id!==null&&o.push(new cN(n.forced_bos_token_id)),n.forced_eos_token_id!==null&&o.push(new uN(n.max_length,n.forced_eos_token_id)),n.begin_suppress_tokens!==null){const c=r>1||n.forced_bos_token_id===null?r:r+1;o.push(new p2(n.begin_suppress_tokens,c))}return n.guidance_scale!==null&&n.guidance_scale>1&&o.push(new gN(n.guidance_scale)),n.temperature===0&&n.do_sample&&(qe.warn("`do_sample` changed to false because `temperature: 0` implies greedy sampling (always selecting the most likely token), which is incompatible with `do_sample: true`."),n.do_sample=!1),n.do_sample&&n.temperature!==null&&n.temperature!==1&&o.push(new vN(n.temperature)),s!==null&&o.extend(s),o}_prepare_generation_config(n,r,s=m2){const o={...this.config};for(const u of["decoder","generator","text_config"])u in o&&Object.assign(o,o[u]);const c=new s(o);return Object.assign(c,this.generation_config??{}),n&&Object.assign(c,n),r&&Object.assign(c,ta(r,Object.getOwnPropertyNames(c))),c}_get_stopping_criteria(n,r=null){const s=new yN;return n.max_length!==null&&s.push(new wN(n.max_length,this.config.max_position_embeddings??null)),n.eos_token_id!==null&&s.push(new bN(n.eos_token_id)),r&&s.extend(r),s}_validate_model_class(){if(!this.can_generate){const n=[Vu.MODEL_FOR_CAUSAL_LM_MAPPING_NAMES,Vu.MODEL_FOR_VISION_2_SEQ_MAPPING_NAMES,Vu.MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING_NAMES,Vu.MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING_NAMES].filter(Boolean),r=Al.get(this.constructor),s=new Set,o=this.config.model_type;for(const u of n){const d=u==null?void 0:u.get(o);d&&s.add(d)}let c=`The current model class (${r}) is not compatible with \`.generate()\`, as it doesn't have a language model head.`;throw s.size>0&&(c+=` Please use the following class instead: ${[...s].join(", ")}`),Error(c)}}prepare_inputs_for_generation(...n){if(!this._prepare_inputs_for_generation)throw new Error("prepare_inputs_for_generation is not implemented for this model.");return this._prepare_inputs_for_generation(this,...n)}_update_model_kwargs_for_generation({generated_input_ids:n,outputs:r,model_inputs:s,is_encoder_decoder:o}){return s.past_key_values=this.getPastKeyValues(r,s.past_key_values),s.input_ids=new we("int64",n.flat(),[n.length,1]),o||(s.attention_mask=Rt([s.attention_mask,Pa([s.attention_mask.dims[0],1])],1)),s.position_ids=null,s}_prepare_model_inputs({inputs:n,bos_token_id:r,model_kwargs:s}){const o=ta(s,this.forward_params),c=this.main_input_name;if(c in o){if(n)throw new Error("`inputs`: {inputs}` were passed alongside {input_name} which is not allowed. Make sure to either pass {inputs} or {input_name}=...")}else o[c]=n;return{inputs_tensor:o[c],model_inputs:o,model_input_name:c}}async _prepare_encoder_decoder_kwargs_for_generation({inputs_tensor:n,model_inputs:r,model_input_name:s,generation_config:o}){if(this.sessions.model.inputNames.includes("inputs_embeds")&&!r.inputs_embeds&&"_prepare_inputs_embeds"in this){const{input_ids:u,pixel_values:d,attention_mask:h,...p}=r,g=await this._prepare_inputs_embeds(r);r={...p,...ta(g,["inputs_embeds","attention_mask"])}}let{last_hidden_state:c}=await fi(this,r);if(o.guidance_scale!==null&&o.guidance_scale>1)c=Rt([c,wg(c,0)],0),"attention_mask"in r&&(r.attention_mask=Rt([r.attention_mask,Lx(r.attention_mask)],0));else if(r.decoder_input_ids){const u=Sg(r.decoder_input_ids).dims[0];if(u!==c.dims[0]){if(c.dims[0]!==1)throw new Error(`The encoder outputs have a different batch size (${c.dims[0]}) than the decoder inputs (${u}).`);c=Rt(Array.from({length:u},()=>c),0)}}return r.encoder_outputs=c,r}_prepare_decoder_input_ids_for_generation({batch_size:n,model_input_name:r,model_kwargs:s,decoder_start_token_id:o,bos_token_id:c,generation_config:u}){let{decoder_input_ids:d,...h}=s;if(!(d instanceof we)){if(d)Array.isArray(d[0])||(d=Array.from({length:n},()=>d));else if(o??(o=c),this.config.model_type==="musicgen")d=Array.from({length:n*this.config.decoder.num_codebooks},()=>[o]);else if(Array.isArray(o)){if(o.length!==n)throw new Error(`\`decoder_start_token_id\` expcted to have length ${n} but got ${o.length}`);d=o}else d=Array.from({length:n},()=>[o]);d=Sg(d)}return s.decoder_attention_mask=Ox(d),{input_ids:d,model_inputs:h}}async generate({inputs:n=null,generation_config:r=null,logits_processor:s=null,stopping_criteria:o=null,streamer:c=null,...u}){this._validate_model_class(),r=this._prepare_generation_config(r,u);let{inputs_tensor:d,model_inputs:h,model_input_name:p}=this._prepare_model_inputs({inputs:n,model_kwargs:u});const g=this.config.is_encoder_decoder;g&&("encoder_outputs"in h||(h=await this._prepare_encoder_decoder_kwargs_for_generation({inputs_tensor:d,model_inputs:h,model_input_name:p,generation_config:r})));let y;g?{input_ids:y,model_inputs:h}=this._prepare_decoder_input_ids_for_generation({batch_size:h[p].dims.at(0),model_input_name:p,model_kwargs:h,decoder_start_token_id:r.decoder_start_token_id,bos_token_id:r.bos_token_id,generation_config:r}):y=h[p];let w=y.dims.at(-1);r.max_new_tokens!==null&&(r.max_length=w+r.max_new_tokens);const b=this._get_logits_processor(r,w,s),S=this._get_stopping_criteria(r,o),E=h[p].dims.at(0),O=Ph.getSampler(r),z=new Array(E).fill(0),D=y.tolist();c&&c.put(D);let P,j={},I={};for(;;){if(h=this.prepare_inputs_for_generation(D,h,r),P=await this.forward(h),r.return_dict_in_generate)if(r.output_attentions){const me=this.getAttentions(P);for(const ne in me)ne in j||(j[ne]=[]),j[ne].push(me[ne])}else this._return_dict_in_generate_keys&&Object.assign(I,ta(P,this._return_dict_in_generate_keys));const ce=P.logits.slice(null,-1,null).to("float32"),oe=b(D,ce),pe=[];for(let me=0;me<oe.dims.at(0);++me){const ne=oe[me],ee=await O(ne);for(const[Me,V]of ee){const W=BigInt(Me);z[me]+=V,D[me].push(W),pe.push([W]);break}}if(c&&c.put(pe),S(D).every(me=>me))break;h=this._update_model_kwargs_for_generation({generated_input_ids:pe,outputs:P,model_inputs:h,is_encoder_decoder:g})}c&&c.end();const K=this.getPastKeyValues(P,h.past_key_values,!0),k=new we("int64",D.flat(),[D.length,D[0].length]);if(r.return_dict_in_generate)return{sequences:k,past_key_values:K,...j,...I};for(const ce of Object.values(P))ce.location==="gpu-buffer"&&ce.dispose();return k}getPastKeyValues(n,r,s=!1){const o=Object.create(null);for(const c in n)if(c.startsWith("present")){const u=c.replace("present_ssm","past_ssm").replace("present_conv","past_conv").replace("present","past_key_values"),d=c.includes("encoder");if(d&&r?o[u]=r[u]:o[u]=n[c],r&&(!d||s)){const h=r[u];h.location==="gpu-buffer"&&h.dispose()}}return o}getAttentions(n){const r={};for(const s of["cross_attentions","encoder_attentions","decoder_attentions"])for(const o in n)o.startsWith(s)&&(s in r||(r[s]=[]),r[s].push(n[o]));return r}addPastKeyValues(n,r){var s,o,c;if(r)Object.assign(n,r);else{const u=this.sessions.decoder_model_merged??this.sessions.model,d=((o=(s=n[this.main_input_name]??n.attention_mask)==null?void 0:s.dims)==null?void 0:o[0])??1,h=((c=u==null?void 0:u.config)==null?void 0:c.kv_cache_dtype)??"float32",p=h==="float16"?Sh.float16:Sh.float32,g=d2(this.config,{batch_size:d});for(const y in g){const w=g[y].reduce((b,S)=>b*S,1);n[y]=new we(h,new p(w),g[y])}}}async encode_image({pixel_values:n}){return(await st(this.sessions.vision_encoder,{pixel_values:n})).image_features}async encode_text({input_ids:n}){return(await st(this.sessions.embed_tokens,{input_ids:n})).inputs_embeds}async encode_audio({audio_values:n}){return(await st(this.sessions.audio_encoder,{audio_values:n})).audio_features}};async function $f(e,n){let{encoder_outputs:r,input_ids:s,decoder_input_ids:o,...c}=n;if(!r){const u=ta(n,e.sessions.model.inputNames);r=(await fi(e,u)).last_hidden_state}return c.input_ids=o,c.encoder_hidden_states=r,e.sessions.decoder_model_merged.inputNames.includes("encoder_attention_mask")&&(c.encoder_attention_mask=n.attention_mask),await _s(e,c,!0)}async function fi(e,n){const r=e.sessions.model,s=ta(n,r.inputNames);if(r.inputNames.includes("inputs_embeds")&&!s.inputs_embeds){if(!n.input_ids)throw new Error("Both `input_ids` and `inputs_embeds` are missing in the model inputs.");s.inputs_embeds=await e.encode_text({input_ids:n.input_ids})}if(r.inputNames.includes("token_type_ids")&&!s.token_type_ids){if(!s.input_ids)throw new Error("Both `input_ids` and `token_type_ids` are missing in the model inputs.");s.token_type_ids=Lx(s.input_ids)}if(r.inputNames.includes("pixel_mask")&&!s.pixel_mask){if(!s.pixel_values)throw new Error("Both `pixel_values` and `pixel_mask` are missing in the model inputs.");const o=s.pixel_values.dims;s.pixel_mask=Pa([o[0],o[2],o[3]])}return await st(r,s)}async function EN(e,n){const r=await e.encode(n);return await e.decode(r)}async function _s(e,n,r=!1){const s=e.sessions[r?"decoder_model_merged":"model"],{past_key_values:o,...c}=n;if(s.inputNames.includes("use_cache_branch")&&(c.use_cache_branch=g2(!!o)),s.inputNames.includes("position_ids")&&c.attention_mask&&!c.position_ids){const d=["paligemma","gemma3_text","gemma3"].includes(e.config.model_type)?1:0;c.position_ids=kN(c,o,d)}e.addPastKeyValues(c,o);const u=ta(c,s.inputNames);return await st(s,u)}async function 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forward({input_ids:e=null,attention_mask:n=null,pixel_values:r=null,input_features:s=null,input_features_mask:o=null,position_ids:c=null,inputs_embeds:u=null,per_layer_inputs:d=null,past_key_values:h=null,generation_config:p=null,logits_processor:g=null,...y}){if((!u||!d)&&({inputs_embeds:u,per_layer_inputs:d}=await st(this.sessions.embed_tokens,{input_ids:e}),e.dims[1]!==1)){if(r){const{image_features:b}=await st(this.sessions.vision_encoder,{pixel_values:r});({inputs_embeds:u,attention_mask:n}=this._merge_input_ids_with_image_features({image_features:b,inputs_embeds:u,input_ids:e,attention_mask:n}))}if(s){const{audio_features:b}=await st(this.sessions.audio_encoder,{input_features:s,input_features_mask:o});({inputs_embeds:u,attention_mask:n}=this._merge_input_ids_with_audio_features({audio_features:b,inputs_embeds:u,input_ids:e,attention_mask:n}))}}return await 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Y{constructor(){super(...arguments);L(this,"forward_params",["input_ids","attention_mask","pixel_values","pixel_attention_mask","position_ids","past_key_values"])}},$2=class extends q2{async encode_image({pixel_values:e,pixel_attention_mask:n}){return(await st(this.sessions.vision_encoder,{pixel_values:e,pixel_attention_mask:n})).image_features}_merge_input_ids_with_image_features(e){const n=e.image_features.dims.at(-1),r=e.image_features.view(-1,n);return Ku({image_token_id:this.config.image_token_id,...e,image_features:r})}},T6=class extends $2{},Zv=class extends Y{},S6=class extends Zv{},E6=class extends Zv{async _call(e){return new Pe(await super._call(e))}},Kv=class extends Y{},A6=class extends Kv{},C6=class extends Kv{},jh=class extends Y{},k6=class extends jh{async forward(e){const n=!e.input_ids,r=!e.pixel_values;if(n&&r)throw new Error("Either `input_ids` or `pixel_values` should be 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Y{constructor(){super(...arguments);L(this,"forward_params",["input_ids","attention_mask","pixel_values","position_ids","past_key_values"])}},Oh=class extends X2{_merge_input_ids_with_image_features(e){const n=e.image_features.dims.at(-1),r=e.image_features.view(-1,n);return Ku({image_token_id:this.config.image_token_index,...e,image_features:r})}},R6=class extends Oh{},U6=class extends Oh{},ny=class extends Y{},G6=class extends ny{},I6=class extends ny{},ay=class extends Y{},j6=class extends ay{},V6=class extends ay{},ry=class extends Y{},q6=class extends ry{},$6=class extends ry{},sy=class extends Y{},H6=class extends sy{},Y6=class extends sy{},nd=class extends Y{},X6=class extends nd{},Q6=class extends nd{},W6=class extends nd{async _call(e){return new Pe(await super._call(e))}},Z6=class extends nd{},Q2=class extends Y{},K6=class extends Q2{},W2=class extends Y{},J6=class extends W2{},Z2=class extends ln{constructor({char_logits:e,bpe_logits:n,wp_logits:r}){super(),this.char_logits=e,this.bpe_logits=n,this.wp_logits=r}get logits(){return[this.char_logits,this.bpe_logits,this.wp_logits]}},K2=class extends Y{},eB=class extends K2{async _call(e){return new Z2(await super._call(e))}},J2=class extends ln{constructor({audio_codes:e}){super(),this.audio_codes=e}},eT=class extends ln{constructor({audio_values:e}){super(),this.audio_values=e}},Vh=class extends Y{constructor(){super(...arguments);L(this,"main_input_name","input_values");L(this,"forward_params",["input_values"])}},tB=class extends Vh{async encode(e){return new J2(await st(this.sessions.encoder_model,e))}async decode(e){return new eT(await st(this.sessions.decoder_model,e))}},tT=class extends Vh{static async from_pretrained(e,n={}){return super.from_pretrained(e,{...n,model_file_name:n.model_file_name??"encoder_model"})}},nT=class extends Vh{static async from_pretrained(e,n={}){return 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super._call(e))}},bB=class extends Yh{},ly=class extends Y{},MB=class extends ly{},xB=class extends ly{async _call(e){return new Pe(await super._call(e))}},cy=class extends Y{},TB=class extends cy{},SB=class extends cy{async _call(e){return new Pe(await super._call(e))}},rd=class extends Y{},EB=class extends rd{},AB=class extends rd{async _call(e){return new pn(await super._call(e))}},CB=class extends rd{async _call(e){return new Pe(await super._call(e))}},kB=class extends rd{async _call(e){return new cn(await super._call(e))}},uy=class extends Y{},OB=class extends uy{},zB=class extends uy{},dy=class extends Y{constructor(){super(...arguments);L(this,"requires_attention_mask",!1);L(this,"main_input_name","input_values");L(this,"forward_params",["input_values","decoder_input_ids","past_key_values"])}},LB=class extends dy{},NB=class extends dy{},Il=class extends Y{},DB=class extends Il{},FB=class extends Il{async _call(e){return new pn(await super._call(e))}},BB=class extends Il{async 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bT{async generate_speech({input_ids:e,attention_mask:n,style:r,num_inference_steps:s=5,speed:o=1.05}){const{sampling_rate:c,chunk_compress_factor:u,base_chunk_size:d,latent_dim:h}=this.config,{last_hidden_state:p,durations:g}=await st(this.sessions.text_encoder,{input_ids:e,attention_mask:n,style:r}),y=g.div(o).mul_(c),w=d*u,b=y.data,S=Int32Array.from(b,oe=>Math.ceil(oe/w)),E=Math.max(...S),O=e.dims[0],z=new BigInt64Array(O*E);for(let oe=0;oe<O;++oe)z.fill(1n,oe*E,oe*E+S[oe]);const D=new we("int64",z,[O,E]),P=h*u,j=P*E;let I=az([O,P,E]);const K=I.data;for(let oe=0;oe<O;++oe)if(S[oe]!==E)for(let pe=0;pe<P;++pe)K.fill(0,oe*j+pe*E+S[oe],oe*j+(pe+1)*E);const k=Dn([O],s);for(let oe=0;oe<s;++oe){const pe=Dn([O],oe);({denoised_latents:I}=await st(this.sessions.latent_denoiser,{style:r,noisy_latents:I,latent_mask:D,encoder_outputs:p,attention_mask:n,timestep:pe,num_inference_steps:k}))}const{waveform:ce}=await 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super._call(e))}},rR=class extends $l{async _call(e){return new cn(await super._call(e))}},NT=class extends Y{},sR=class extends NT{},iR=class extends m2{constructor(){super(...arguments);L(this,"return_timestamps",null);L(this,"return_token_timestamps",null);L(this,"num_frames",null);L(this,"alignment_heads",null);L(this,"task",null);L(this,"language",null);L(this,"no_timestamps_token_id",null);L(this,"prompt_ids",null);L(this,"is_multilingual",null);L(this,"lang_to_id",null);L(this,"task_to_id",null);L(this,"max_initial_timestamp_index",1)}},$y=class extends Y{constructor(){super(...arguments);L(this,"requires_attention_mask",!1);L(this,"main_input_name","input_features");L(this,"forward_params",["input_features","attention_mask","decoder_input_ids","decoder_attention_mask","past_key_values"])}},oR=class extends $y{},DT=class extends $y{_prepare_generation_config(e,n){return super._prepare_generation_config(e,n,iR)}_retrieve_init_tokens(e){const n=[e.decoder_start_token_id];let r=e.language;const s=e.task;if(e.is_multilingual){r||(qe.warn("No language specified - defaulting to English (en)."),r="en");const c=`<|${Zz(r)}|>`;n.push(e.lang_to_id[c]),n.push(e.task_to_id[s??"transcribe"])}else if(r||s)throw new 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&&n.at(-1)!==e.no_timestamps_token_id?n.push(e.no_timestamps_token_id):e.return_timestamps&&n.at(-1)===e.no_timestamps_token_id&&(qe.warn("<|notimestamps|> prompt token is removed from generation_config since `return_timestamps` is set to `true`."),n.pop()),n.filter(o=>o!=null)}async generate({inputs:e=null,generation_config:n=null,logits_processor:r=null,stopping_criteria:s=null,...o}){n=this._prepare_generation_config(n,o);const c=o.decoder_input_ids??this._retrieve_init_tokens(n);if(n.return_timestamps&&(r??(r=new Tg),r.push(new dN(n,c))),n.begin_suppress_tokens&&(r??(r=new Tg),r.push(new p2(n.begin_suppress_tokens,c.length))),n.return_token_timestamps){if(!n.alignment_heads)throw new 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.");n.task==="translate"&&qe.warn("Token-level timestamps may not be reliable for task 'translate'."),n.output_attentions=!0,n.return_dict_in_generate=!0}const u=await super.generate({inputs:e,generation_config:n,logits_processor:r,decoder_input_ids:c,...o});return n.return_token_timestamps&&(u.token_timestamps=this._extract_token_timestamps(u,n.alignment_heads,n.num_frames)),u}_extract_token_timestamps(e,n,r=null,s=.02){if(!e.cross_attentions)throw new Error("Model outputs must contain cross attentions to extract timestamps. This is most likely because the model was not exported with `output_attentions=True`.");r==null&&qe.warn("`num_frames` has not been set, meaning the entire audio will be analyzed. 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E=y[S].neg().squeeze_(0),[O,z]=L3(E.tolist()),D=Array.from({length:O.length-1},(I,K)=>O[K+1]-O[K]),P=Dr([1],D).map(I=>!!I),j=[];for(let I=0;I<P.length;++I)P[I]&&j.push(z[I]*s);b[S].data.set(j,1)}return b}},lR=class extends DT{},Hl=class extends Y{},cR=class extends Hl{},uR=class extends Hl{async _call(e){return new pn(await super._call(e))}},dR=class extends Hl{async _call(e){return new Pe(await super._call(e))}},fR=class extends Hl{async _call(e){return new cn(await super._call(e))}},hR=class extends Hl{async _call(e){return new Fn(await super._call(e))}},Yl=class extends Y{},pR=class extends Yl{},mR=class extends Yl{async _call(e){return new pn(await super._call(e))}},_R=class extends Yl{async _call(e){return new Pe(await super._call(e))}},gR=class extends Yl{async _call(e){return new cn(await super._call(e))}},vR=class extends Yl{async _call(e){return new Fn(await super._call(e))}},Hy=class extends Y{},yR=class extends Hy{},wR=class extends Hy{async _call(e){return new FT(await super._call(e))}},FT=class extends ln{constructor({logits:e,pred_boxes:n}){super(),this.logits=e,this.pred_boxes=n}},Yy=class extends Y{},bR=class extends Yy{},MR=class extends Yy{},xR=new Map([["bert","BertModel"],["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"]]),TR=new Map([["t5","T5Model"],["longt5","LongT5Model"],["mt5","MT5Model"],["bart","BartModel"],["mbart","MBartModel"],["marian","MarianModel"],["whisper","WhisperModel"],["m2m_100","M2M100Model"],["blenderbot","BlenderbotModel"],["blenderbot-small","BlenderbotSmallModel"]]),SR=new Map([["mimi","MimiModel"],["dac","DacModel"],["snac","SnacModel"]]),ER=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"],["lfm2","Lfm2Model"],["lfm2_moe","Lfm2MoeModel"],["smollm3","SmolLM3Model"],["exaone","ExaoneModel"],["olmo","OlmoModel"],["olmo2","Olmo2Model"],["olmo3","Olmo3Model"],["mobilellm","MobileLLMModel"],["granite","GraniteModel"],["granitemoehybrid","GraniteMoeHybridModel"],["cohere","CohereModel"],["cohere2","Cohere2Model"],["gemma","GemmaModel"],["gemma2","Gemma2Model"],["vaultgemma","VaultGemmaModel"],["gemma3_text","Gemma3Model"],["helium","HeliumModel"],["glm","GlmModel"],["openelm","OpenELMModel"],["qwen2","Qwen2Model"],["qwen3","Qwen3Model"],["phi","PhiModel"],["phi3","Phi3Model"],["mpt","MptModel"],["opt","OPTModel"],["mistral","MistralModel"],["ministral","MinistralModel"],["ministral3","Ministral3Model"],["ernie4_5","Ernie4_5_Model"],["starcoder2","Starcoder2Model"],["falcon","FalconModel"],["falcon_h1","FalconH1Model"],["stablelm","StableLmModel"],["modernbert-decoder","ModernBertDecoderModel"],["hunyuan_v1_dense","HunYuanDenseV1Model"],["youtu","YoutuModel"]]),BT=new Map([["speecht5","SpeechT5ForSpeechToText"],["whisper","WhisperForConditionalGeneration"],["lite-whisper","LiteWhisperForConditionalGeneration"],["moonshine","MoonshineForConditionalGeneration"]]),PT=new Map([["speecht5","SpeechT5ForTextToSpeech"]]),RT=new Map([["vits","VitsModel"],["musicgen","MusicgenForConditionalGeneration"],["supertonic","SupertonicForConditionalGeneration"]]),UT=new Map([["bert","BertForSequenceClassification"],["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"]]),GT=new Map([["bert","BertForTokenClassification"],["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"]]),IT=new Map([["t5","T5ForConditionalGeneration"],["longt5","LongT5ForConditionalGeneration"],["mt5","MT5ForConditionalGeneration"],["bart","BartForConditionalGeneration"],["mbart","MBartForConditionalGeneration"],["marian","MarianMTModel"],["m2m_100","M2M100ForConditionalGeneration"],["blenderbot","BlenderbotForConditionalGeneration"],["blenderbot-small","BlenderbotSmallForConditionalGeneration"]]),jT=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"],["lfm2","Lfm2ForCausalLM"],["lfm2_moe","Lfm2MoeForCausalLM"],["smollm3","SmolLM3ForCausalLM"],["exaone","ExaoneForCausalLM"],["olmo","OlmoForCausalLM"],["olmo2","Olmo2ForCausalLM"],["olmo3","Olmo3ForCausalLM"],["mobilellm","MobileLLMForCausalLM"],["granite","GraniteForCausalLM"],["granitemoehybrid","GraniteMoeHybridForCausalLM"],["cohere","CohereForCausalLM"],["cohere2","Cohere2ForCausalLM"],["gemma","GemmaForCausalLM"],["gemma2","Gemma2ForCausalLM"],["vaultgemma","VaultGemmaForCausalLM"],["gemma3_text","Gemma3ForCausalLM"],["helium","HeliumForCausalLM"],["glm","GlmForCausalLM"],["openelm","OpenELMForCausalLM"],["qwen2","Qwen2ForCausalLM"],["qwen3","Qwen3ForCausalLM"],["phi","PhiForCausalLM"],["phi3","Phi3ForCausalLM"],["mpt","MptForCausalLM"],["opt","OPTForCausalLM"],["mbart","MBartForCausalLM"],["mistral","MistralForCausalLM"],["ministral","MinistralForCausalLM"],["ministral3","Ministral3ForCausalLM"],["ernie4_5","Ernie4_5_ForCausalLM"],["starcoder2","Starcoder2ForCausalLM"],["falcon","FalconForCausalLM"],["falcon_h1","FalconH1ForCausalLM"],["trocr","TrOCRForCausalLM"],["stablelm","StableLmForCausalLM"],["modernbert-decoder","ModernBertDecoderForCausalLM"],["hunyuan_v1_dense","HunYuanDenseV1ForCausalLM"],["youtu","YoutuForCausalLM"],["phi3_v","Phi3VForCausalLM"]]),AR=new Map([["multi_modality","MultiModalityCausalLM"]]),VT=new Map([["bert","BertForMaskedLM"],["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"]]),qT=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"]]),$T=new Map([["vision-encoder-decoder","VisionEncoderDecoderModel"],["idefics3","Idefics3ForConditionalGeneration"],["smolvlm","SmolVLMForConditionalGeneration"]]),HT=new Map([["llava","LlavaForConditionalGeneration"],["llava_onevision","LlavaOnevisionForConditionalGeneration"],["moondream1","Moondream1ForConditionalGeneration"],["florence2","Florence2ForConditionalGeneration"],["qwen2-vl","Qwen2VLForConditionalGeneration"],["idefics3","Idefics3ForConditionalGeneration"],["smolvlm","SmolVLMForConditionalGeneration"],["paligemma","PaliGemmaForConditionalGeneration"],["llava_qwen2","LlavaQwen2ForCausalLM"],["gemma3n","Gemma3nForConditionalGeneration"],["mistral3","Mistral3ForConditionalGeneration"]]),YT=new Map([["ultravox","UltravoxModel"],["voxtral","VoxtralForConditionalGeneration"]]),CR=new Map([["vision-encoder-decoder","VisionEncoderDecoderModel"]]),XT=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"]]),QT=new Map([["detr","DetrForObjectDetection"],["rt_detr","RTDetrForObjectDetection"],["rt_detr_v2","RTDetrV2ForObjectDetection"],["rf_detr","RFDetrForObjectDetection"],["d_fine","DFineForObjectDetection"],["table-transformer","TableTransformerForObjectDetection"],["yolos","YolosForObjectDetection"]]),WT=new Map([["owlvit","OwlViTForObjectDetection"],["owlv2","Owlv2ForObjectDetection"],["grounding-dino","GroundingDinoForObjectDetection"]]),Sl=new Map([["detr","DetrForSegmentation"],["clipseg","CLIPSegForImageSegmentation"]]),ZT=new Map([["segformer","SegformerForSemanticSegmentation"],["sapiens","SapiensForSemanticSegmentation"],["swin","SwinForSemanticSegmentation"],["mobilenet_v1","MobileNetV1ForSemanticSegmentation"],["mobilenet_v2","MobileNetV2ForSemanticSegmentation"],["mobilenet_v3","MobileNetV3ForSemanticSegmentation"],["mobilenet_v4","MobileNetV4ForSemanticSegmentation"]]),KT=new Map([["detr","DetrForSegmentation"],["maskformer","MaskFormerForInstanceSegmentation"]]),JT=new Map([["sam","SamModel"],["sam2","Sam2Model"],["edgetam","EdgeTamModel"],["sam3_tracker","Sam3TrackerModel"]]),eS=new Map([["wav2vec2","Wav2Vec2ForCTC"],["wav2vec2-bert","Wav2Vec2BertForCTC"],["unispeech","UniSpeechForCTC"],["unispeech-sat","UniSpeechSatForCTC"],["wavlm","WavLMForCTC"],["hubert","HubertForCTC"],["parakeet_ctc","ParakeetForCTC"]]),tS=new Map([["wav2vec2","Wav2Vec2ForSequenceClassification"],["wav2vec2-bert","Wav2Vec2BertForSequenceClassification"],["unispeech","UniSpeechForSequenceClassification"],["unispeech-sat","UniSpeechSatForSequenceClassification"],["wavlm","WavLMForSequenceClassification"],["hubert","HubertForSequenceClassification"],["audio-spectrogram-transformer","ASTForAudioClassification"]]),nS=new Map([["wavlm","WavLMForXVector"]]),aS=new Map([["unispeech-sat","UniSpeechSatForAudioFrameClassification"],["wavlm","WavLMForAudioFrameClassification"],["wav2vec2","Wav2Vec2ForAudioFrameClassification"],["pyannote","PyAnnoteForAudioFrameClassification"]]),rS=new Map([["vitmatte","VitMatteForImageMatting"]]),kR=new Map([["patchtst","PatchTSTForPrediction"],["patchtsmixer","PatchTSMixerForPrediction"]]),sS=new Map([["swin2sr","Swin2SRForImageSuperResolution"]]),iS=new Map([["dpt","DPTForDepthEstimation"],["depth_anything","DepthAnythingForDepthEstimation"],["glpn","GLPNForDepthEstimation"],["sapiens","SapiensForDepthEstimation"],["depth_pro","DepthProForDepthEstimation"],["metric3d","Metric3DForDepthEstimation"],["metric3dv2","Metric3Dv2ForDepthEstimation"]]),oS=new Map([["sapiens","SapiensForNormalEstimation"]]),lS=new Map([["vitpose","VitPoseForPoseEstimation"]]),cS=new Map([["clip","CLIPVisionModelWithProjection"],["siglip","SiglipVisionModel"],["jina_clip","JinaCLIPVisionModel"]]),uS=[[xR,ye.EncoderOnly],[TR,ye.EncoderDecoder],[ER,ye.DecoderOnlyWithoutHead],[SR,ye.AutoEncoder],[UT,ye.EncoderOnly],[GT,ye.EncoderOnly],[IT,ye.Seq2Seq],[BT,ye.Seq2Seq],[jT,ye.DecoderOnly],[AR,ye.MultiModality],[VT,ye.EncoderOnly],[qT,ye.EncoderOnly],[$T,ye.Vision2Seq],[HT,ye.ImageTextToText],[YT,ye.AudioTextToText],[XT,ye.EncoderOnly],[Sl,ye.EncoderOnly],[KT,ye.EncoderOnly],[ZT,ye.EncoderOnly],[rS,ye.EncoderOnly],[kR,ye.EncoderOnly],[sS,ye.EncoderOnly],[iS,ye.EncoderOnly],[oS,ye.EncoderOnly],[lS,ye.EncoderOnly],[QT,ye.EncoderOnly],[WT,ye.EncoderOnly],[JT,ye.MaskGeneration],[eS,ye.EncoderOnly],[tS,ye.EncoderOnly],[PT,ye.Seq2Seq],[RT,ye.EncoderOnly],[nS,ye.EncoderOnly],[aS,ye.EncoderOnly],[cS,ye.EncoderOnly]];for(const[e,n]of uS)for(const r of e.values()){Cl.set(r,n);const s=lv[r];Al.set(s,r),ov.set(r,s)}var OR=[["MusicgenForConditionalGeneration",rT,ye.Musicgen],["Phi3VForCausalLM",cT,ye.Phi3V],["CLIPTextModelWithProjection",A2,ye.EncoderOnly],["SiglipTextModel",gT,ye.EncoderOnly],["JinaCLIPTextModel",H2,ye.EncoderOnly],["ClapTextModelWithProjection",S2,ye.EncoderOnly],["ClapAudioModelWithProjection",E2,ye.EncoderOnly],["DacEncoderModel",O2,ye.EncoderOnly],["DacDecoderModel",z2,ye.EncoderOnly],["MimiEncoderModel",tT,ye.EncoderOnly],["MimiDecoderModel",nT,ye.EncoderOnly],["SnacEncoderModel",vT,ye.EncoderOnly],["SnacDecoderModel",yT,ye.EncoderOnly],["Gemma3nForConditionalGeneration",I2,ye.ImageAudioTextToText],["SupertonicForConditionalGeneration",MT,ye.Supertonic],["ChatterboxModel",x2,ye.Chatterbox]];for(const[e,n,r]of OR)Cl.set(e,r),Al.set(n,e),ov.set(e,n);var dS=new Map([["modnet",Sl],["birefnet",Sl],["isnet",Sl],["ben",Sl]]);for(const[e,n]of 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Ra{constructor({task:e,model:n,tokenizer:r=null,processor:s=null}){super(),this.task=e,this.model=n,this.tokenizer=r,this.processor=s}async dispose(){await this.model.dispose()}},XR=class extends Yt{async _call(e,{top_k:n=1}={}){const r=this.tokenizer(e,{padding:!0,truncation:!0}),s=await this.model(r),{problem_type:o,id2label:c}=this.model.config,u=o==="multi_label_classification"?h=>h.sigmoid():h=>new we("float32",Tn(h.data),h.dims),d=[];for(const h of s.logits){const p=u(h),g=await Ll(p,n),y=g[0].tolist(),b=g[1].tolist().map((S,E)=>({label:c?c[S]:`LABEL_${S}`,score:y[E]}));n===1?d.push(...b):d.push(b)}return Array.isArray(e)||n===1?d:d[0]}},QR=class extends Yt{async _call(e,{ignore_labels:n=["O"]}={}){const r=Array.isArray(e),s=this.tokenizer(r?e:[e],{padding:!0,truncation:!0}),c=(await this.model(s)).logits,u=this.model.config.id2label,d=[];for(let h=0;h<c.dims[0];++h){const p=s.input_ids[h],g=c[h],y=[];for(let w=0;w<g.dims[0];++w){const b=g[w],S=Zt(b.data)[1],E=u?u[S]:`LABEL_${S}`;if(n.includes(E))continue;const O=this.tokenizer.decode([p[w].item()],{skip_special_tokens:!0});if(O==="")continue;const z=Tn(b.data);y.push({entity:E,score:z[S],index:w,word:O})}d.push(y)}return r?d:d[0]}},WR=class extends Yt{async _call(e,n,{top_k:r=1}={}){const s=this.tokenizer(e,{text_pair:n,padding:!0,truncation:!0}),o=Array.isArray(e),{start_logits:c,end_logits:u}=await this.model(s),d=s.input_ids.tolist(),h=s.attention_mask.tolist(),{all_special_ids:p,sep_token_id:g}=this.tokenizer,y=[];for(let w=0;w<c.dims[0];++w){const b=d[w],S=b.findIndex(I=>I==g),E=c[w].tolist(),O=u[w].tolist();for(let I=1;I<E.length;++I)(h[w]==0||I<=S||p.findIndex(K=>K==b[I])!==-1)&&(E[I]=-1/0,O[I]=-1/0);const z=Tn(E).map((I,K)=>[I,K]),D=Tn(O).map((I,K)=>[I,K]);z[0][0]=0,D[0][0]=0;const P=f3(z,D).filter(I=>I[0][1]<=I[1][1]).map(I=>[I[0][1],I[1][1],I[0][0]*I[1][0]]).sort((I,K)=>K[2]-I[2]),j=[];for(let I=0;I<Math.min(P.length,r);++I){const[K,k,ce]=P[I],oe=b.slice(K,k+1),pe=this.tokenizer.decode(oe,{skip_special_tokens:!0});j.push({answer:pe,score:ce})}r===1?y.push(...j):y.push(j)}return o?y:y[0]}},ZR=class extends Yt{async _call(e,{top_k:n=5}={}){const{mask_token_id:r,mask_token:s}=this.tokenizer,o=this.tokenizer(e,{padding:!0,truncation:!0}),{logits:c}=await this.model(o),u=[],d=o.input_ids.tolist();for(let h=0;h<d.length;++h){const p=d[h],g=p.findIndex(E=>E==r);if(g===-1)throw Error(`Mask token (${s}) not found in text.`);const y=c[h][g],w=await Ll(new we("float32",Tn(y.data),y.dims),n),b=w[0].tolist(),S=w[1].tolist();u.push(S.map((E,O)=>{const z=p.slice();return z[g]=E,{score:b[O],token:Number(E),token_str:this.tokenizer.decode([E]),sequence:this.tokenizer.decode(z,{skip_special_tokens:!0})}}))}return Array.isArray(e)?u:u[0]}},Xy=class extends Yt{constructor(){super(...arguments);L(this,"_key","generated_text")}async _call(n,r={}){Array.isArray(n)||(n=[n]),this.model.config.prefix&&(n=n.map(h=>this.model.config.prefix+h));const s=this.model.config.task_specific_params;s&&s[this.task]&&s[this.task].prefix&&(n=n.map(h=>s[this.task].prefix+h));const o=this.tokenizer,c={padding:!0,truncation:!0};let u;this.task==="translation"&&"_build_translation_inputs"in o?u=o._build_translation_inputs(n,c,r):u=o(n,c);const d=await this.model.generate({...u,...r});return o.batch_decode(d,{skip_special_tokens:!0}).map(h=>({[this._key]:h}))}},KR=class extends Xy{constructor(){super(...arguments);L(this,"_key","summary_text")}},JR=class extends Xy{constructor(){super(...arguments);L(this,"_key","translation_text")}};function J1(e){return Array.isArray(e)&&e.every(n=>"role"in n&&"content"in n)}var eU=class extends Yt{async _call(e,n={}){let r=!1,s=!1,o=n.add_special_tokens??(this.tokenizer.add_bos_token||this.tokenizer.add_eos_token)??!1,c=n.tokenizer_encode_kwargs,u;if(typeof e=="string")u=e=[e];else if(Array.isArray(e)&&e.every(b=>typeof b=="string"))r=!0,u=e;else{if(J1(e))e=[e];else if(Array.isArray(e)&&e.every(J1))r=!0;else throw new Error("Input must be a string, an array of strings, a Chat, or an array of Chats");s=!0,u=e.map(b=>this.tokenizer.apply_chat_template(b,{tokenize:!1,add_generation_prompt:!0,...c})),o=!1,c=void 0}const d=s?!1:n.return_full_text??!0;this.tokenizer.padding_side="left";const h=this.tokenizer(u,{add_special_tokens:o,padding:!0,truncation:!0,...c}),p=await this.model.generate({...h,...n}),g=this.tokenizer.batch_decode(p,{skip_special_tokens:!0});let y;!d&&h.input_ids.dims.at(-1)>0&&(y=this.tokenizer.batch_decode(h.input_ids,{skip_special_tokens:!0}).map(b=>b.length));const w=Array.from({length:e.length},b=>[]);for(let b=0;b<g.length;++b){const S=Math.floor(b/p.dims[0]*e.length);y&&(g[b]=g[b].slice(y[S])),w[S].push({generated_text:s?[...e[S],{role:"assistant",content:g[b]}]:g[b]})}return!r&&w.length===1?w[0]:w}},tU=class extends Yt{constructor(e){super(e),this.label2id=Object.fromEntries(Object.entries(this.model.config.label2id).map(([n,r])=>[n.toLowerCase(),r])),this.entailment_id=this.label2id.entailment,this.entailment_id===void 0&&(qe.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&&(qe.warn("Could not find 'contradiction' in label2id mapping. 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Error(`AutomaticSpeechRecognitionPipeline does not support model type '${this.model.config.model_type}'.`)}}async _call_wav2vec2(e,n){n.language&&qe.warn('`language` parameter is not yet supported for `wav2vec2` models, defaulting to "English".'),n.task&&qe.warn('`task` parameter is not yet supported for `wav2vec2` models, defaulting to "transcribe".');const r=!Array.isArray(e),s=r?[e]:e,o=this.processor.feature_extractor.config.sampling_rate,c=await Yu(s,o),u=[];for(const d of c){const h=await this.processor(d),g=(await this.model(h)).logits[0],y=[];for(const b of g)y.push(Zt(b.data)[1]);const w=this.tokenizer.decode(y,{skip_special_tokens:!0}).trim();u.push({text:w})}return r?u[0]:u}async _call_whisper(e,n){const r=n.return_timestamps??!1,s=n.chunk_length_s??0,o=n.force_full_sequences??!1;let c=n.stride_length_s??null;const u={...n};r==="word"&&(u.return_token_timestamps=!0,u.return_timestamps=!1);const d=!Array.isArray(e),h=d?[e]:e,p=this.processor.feature_extractor.config,g=p.chunk_length/this.model.config.max_source_positions,y=p.hop_length,w=p.sampling_rate,b=await Yu(h,w),S=[];for(const E of b){let O=[];if(s>0){if(c===null)c=s/6;else if(s<=c)throw Error("`chunk_length_s` must be larger than `stride_length_s`.");const P=w*s,j=w*c,I=P-2*j;let K=0;for(;;){const k=K+P,ce=E.subarray(K,k),oe=await this.processor(ce),pe=K===0,_e=k>=E.length;if(O.push({stride:[ce.length,pe?0:j,_e?0:j],input_features:oe.input_features,is_last:_e}),_e)break;K+=I}}else O=[{stride:[E.length,0,0],input_features:(await this.processor(E)).input_features,is_last:!0}];for(const P of O){u.num_frames=Math.floor(P.stride[0]/y);const j=await 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