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n=r._getRelativeMousePosition(e,t.element,t.pixelRatio);e.changedTouches?(t.button=0,e.preventDefault()):t.button=e.button,t.absolute.x=n.x,t.absolute.y=n.y,t.position.x=t.absolute.x*t.scale.x+t.offset.x,t.position.y=t.absolute.y*t.scale.y+t.offset.y,t.mousedownPosition.x=t.position.x,t.mousedownPosition.y=t.position.y,t.sourceEvents.mousedown=e},t.mouseup=function(e){var n=r._getRelativeMousePosition(e,t.element,t.pixelRatio);e.changedTouches&&e.preventDefault(),t.button=-1,t.absolute.x=n.x,t.absolute.y=n.y,t.position.x=t.absolute.x*t.scale.x+t.offset.x,t.position.y=t.absolute.y*t.scale.y+t.offset.y,t.mouseupPosition.x=t.position.x,t.mouseupPosition.y=t.position.y,t.sourceEvents.mouseup=e},t.mousewheel=function(e){t.wheelDelta=Math.max(-1,Math.min(1,e.wheelDelta||-e.detail)),e.preventDefault(),t.sourceEvents.mousewheel=e},r.setElement(t,t.element),t},r.setElement=function(e,t){e.element=t,t.addEventListener(`mousemove`,e.mousemove,{passive:!0}),t.addEventListener(`mousedown`,e.mousedown,{passive:!0}),t.addEventListener(`mouseup`,e.mouseup,{passive:!0}),t.addEventListener(`wheel`,e.mousewheel,{passive:!1}),t.addEventListener(`touchmove`,e.mousemove,{passive:!1}),t.addEventListener(`touchstart`,e.mousedown,{passive:!1}),t.addEventListener(`touchend`,e.mouseup,{passive:!1})},r.clearSourceEvents=function(e){e.sourceEvents.mousemove=null,e.sourceEvents.mousedown=null,e.sourceEvents.mouseup=null,e.sourceEvents.mousewheel=null,e.wheelDelta=0},r.setOffset=function(e,t){e.offset.x=t.x,e.offset.y=t.y,e.position.x=e.absolute.x*e.scale.x+e.offset.x,e.position.y=e.absolute.y*e.scale.y+e.offset.y},r.setScale=function(e,t){e.scale.x=t.x,e.scale.y=t.y,e.position.x=e.absolute.x*e.scale.x+e.offset.x,e.position.y=e.absolute.y*e.scale.y+e.offset.y},r._getRelativeMousePosition=function(e,t,n){var r=t.getBoundingClientRect(),i=document.documentElement||document.body.parentNode||document.body,a=window.pageXOffset===void 0?i.scrollLeft:window.pageXOffset,o=window.pageYOffset===void 0?i.scrollTop:window.pageYOffset,s=e.changedTouches,c,l;return s?(c=s[0].pageX-r.left-a,l=s[0].pageY-r.top-o):(c=e.pageX-r.left-a,l=e.pageY-r.top-o),{x:c/(t.clientWidth/(t.width||t.clientWidth)*n),y:l/(t.clientHeight/(t.height||t.clientHeight)*n)}}})()}),(function(e,t,n){var r={};e.exports=r;var i=n(0);(function(){r._registry={},r.register=function(e){if(r.isPlugin(e)||i.warn(`Plugin.register:`,r.toString(e),`does not implement all required fields.`),e.name in r._registry){var t=r._registry[e.name],n=r.versionParse(e.version).number,a=r.versionParse(t.version).number;n>a?(i.warn(`Plugin.register:`,r.toString(t),`was upgraded to`,r.toString(e)),r._registry[e.name]=e):n-1},r.isFor=function(e,t){var n=e.for&&r.dependencyParse(e.for);return!e.for||t.name===n.name&&r.versionSatisfies(t.version,n.range)},r.use=function(e,t){if(e.uses=(e.uses||[]).concat(t||[]),e.uses.length===0){i.warn(`Plugin.use:`,r.toString(e),`does not specify any dependencies to install.`);return}for(var n=r.dependencies(e),a=i.topologicalSort(n),o=[],s=0;s0&&i.info(o.join(` `))},r.dependencies=function(e,t){var n=r.dependencyParse(e),a=n.name;if(t||={},!(a in t)){e=r.resolve(e)||e,t[a]=i.map(e.uses||[],function(t){r.isPlugin(t)&&r.register(t);var a=r.dependencyParse(t),o=r.resolve(t);return o&&!r.versionSatisfies(o.version,a.range)?(i.warn(`Plugin.dependencies:`,r.toString(o),`does not satisfy`,r.toString(a),`used by`,r.toString(n)+`.`),o._warned=!0,e._warned=!0):o||(i.warn(`Plugin.dependencies:`,r.toString(t),`used by`,r.toString(n),`could not be resolved.`),e._warned=!0),a.name});for(var o=0;o=|>)?\s*((\d+)\.(\d+)\.(\d+))(-[0-9A-Za-z-+]+)?$/;t.test(e)||i.warn(`Plugin.versionParse:`,e,`is not a valid version or range.`);var n=t.exec(e),r=Number(n[4]),a=Number(n[5]),o=Number(n[6]);return{isRange:!!(n[1]||n[2]),version:n[3],range:e,operator:n[1]||n[2]||``,major:r,minor:a,patch:o,parts:[r,a,o],prerelease:n[7],number:r*1e8+a*1e4+o}},r.versionSatisfies=function(e,t){t||=`*`;var n=r.versionParse(t),i=r.versionParse(e);if(n.isRange){if(n.operator===`*`||e===`*`)return!0;if(n.operator===`>`)return i.number>n.number;if(n.operator===`>=`)return i.number>=n.number;if(n.operator===`~`)return i.major===n.major&&i.minor===n.minor&&i.patch>=n.patch;if(n.operator===`^`)return n.major>0?i.major===n.major&&i.number>=n.number:n.minor>0?i.minor===n.minor&&i.patch>=n.patch:i.patch===n.patch}return e===t||e===`*`}})()}),(function(e,t){var n={};e.exports=n,(function(){n.create=function(e){return{vertex:e,normalImpulse:0,tangentImpulse:0}}})()}),(function(e,t,n){var r={};e.exports=r;var i=n(7),a=n(18),o=n(13),s=n(19),c=n(5),l=n(6),u=n(10),d=n(0),f=n(4);(function(){r._deltaMax=1e3/60,r.create=function(e){e||={};var t=d.extend({positionIterations:6,velocityIterations:4,constraintIterations:2,enableSleeping:!1,events:[],plugin:{},gravity:{x:0,y:1,scale:.001},timing:{timestamp:0,timeScale:1,lastDelta:0,lastElapsed:0,lastUpdatesPerFrame:0}},e);return t.world=e.world||l.create({label:`World`}),t.pairs=e.pairs||s.create(),t.detector=e.detector||o.create(),t.detector.pairs=t.pairs,t.grid={buckets:[]},t.world.gravity=t.gravity,t.broadphase=t.grid,t.metrics={},t},r.update=function(e,t){var n=d.now(),f=e.world,p=e.detector,m=e.pairs,h=e.timing,g=h.timestamp,_;t>r._deltaMax&&d.warnOnce(`Matter.Engine.update: delta argument is recommended to be less than or equal to`,r._deltaMax.toFixed(3),`ms.`),t=t===void 0?d._baseDelta:t,t*=h.timeScale,h.timestamp+=t,h.lastDelta=t;var v={timestamp:h.timestamp,delta:t};c.trigger(e,`beforeUpdate`,v);var y=l.allBodies(f),b=l.allConstraints(f);for(f.isModified&&(o.setBodies(p,y),l.setModified(f,!1,!1,!0)),e.enableSleeping&&i.update(y,t),r._bodiesApplyGravity(y,e.gravity),t>0&&r._bodiesUpdate(y,t),c.trigger(e,`beforeSolve`,v),u.preSolveAll(y),_=0;_0&&c.trigger(e,`collisionStart`,{pairs:m.collisionStart,timestamp:h.timestamp,delta:t});var S=d.clamp(20/e.positionIterations,0,1);for(a.preSolvePosition(m.list),_=0;_0&&c.trigger(e,`collisionActive`,{pairs:m.collisionActive,timestamp:h.timestamp,delta:t}),m.collisionEnd.length>0&&c.trigger(e,`collisionEnd`,{pairs:m.collisionEnd,timestamp:h.timestamp,delta:t}),r._bodiesClearForces(y),c.trigger(e,`afterUpdate`,v),e.timing.lastElapsed=d.now()-n,e},r.merge=function(e,t){if(d.extend(e,t),t.world){e.world=t.world,r.clear(e);for(var n=l.allBodies(e.world),a=0;ahe?(f=fe>0?fe:-fe,d=h.friction*(fe>0?1:-1)*i,d<-f?d=-f:d>f&&(d=f)):(d=fe,f=l);var ge=N*b-P*y,_e=re*b-ie*y,ve=D/(C+_.inverseInertia*ge*ge+v.inverseInertia*_e*_e),ye=(1+h.restitution)*de*ve;if(d*=ve,de0&&(ne.normalImpulse=0),ye=ne.normalImpulse-be}if(fe<-s||fe>s)ne.tangentImpulse=0;else{var xe=ne.tangentImpulse;ne.tangentImpulse+=d,ne.tangentImpulse<-f&&(ne.tangentImpulse=-f),ne.tangentImpulse>f&&(ne.tangentImpulse=f),d=ne.tangentImpulse-xe}var Se=y*ye+x*d,Ce=b*ye+S*d;_.isStatic||_.isSleeping||(_.positionPrev.x+=Se*_.inverseMass,_.positionPrev.y+=Ce*_.inverseMass,_.anglePrev+=(N*Ce-P*Se)*_.inverseInertia),v.isStatic||v.isSleeping||(v.positionPrev.x-=Se*v.inverseMass,v.positionPrev.y-=Ce*v.inverseMass,v.anglePrev-=(re*Ce-ie*Se)*v.inverseInertia)}}}}})()}),(function(e,t,n){var r={};e.exports=r;var i=n(9),a=n(0);(function(){r.create=function(e){return a.extend({table:{},list:[],collisionStart:[],collisionActive:[],collisionEnd:[]},e)},r.update=function(e,t,n){var r=i.update,a=i.create,o=i.setActive,s=e.table,c=e.list,l=c.length,u=l,d=e.collisionStart,f=e.collisionEnd,p=e.collisionActive,m=t.length,h=0,g=0,_=0,v,y,b;for(b=0;b=n?c[u++]=y:(o(y,!1,n),y.collision.bodyA.sleepCounter>0&&y.collision.bodyB.sleepCounter>0?c[u++]=y:(f[g++]=y,delete s[y.id]));c.length!==u&&(c.length=u),d.length!==h&&(d.length=h),f.length!==g&&(f.length=g),p.length!==_&&(p.length=_)},r.clear=function(e){return e.table={},e.list.length=0,e.collisionStart.length=0,e.collisionActive.length=0,e.collisionEnd.length=0,e}})()}),(function(e,t,n){var r=e.exports=n(21);r.Axes=n(11),r.Bodies=n(12),r.Body=n(4),r.Bounds=n(1),r.Collision=n(8),r.Common=n(0),r.Composite=n(6),r.Composites=n(22),r.Constraint=n(10),r.Contact=n(16),r.Detector=n(13),r.Engine=n(17),r.Events=n(5),r.Grid=n(23),r.Mouse=n(14),r.MouseConstraint=n(24),r.Pair=n(9),r.Pairs=n(19),r.Plugin=n(15),r.Query=n(25),r.Render=n(26),r.Resolver=n(18),r.Runner=n(27),r.SAT=n(28),r.Sleeping=n(7),r.Svg=n(29),r.Vector=n(2),r.Vertices=n(3),r.World=n(30),r.Engine.run=r.Runner.run,r.Common.deprecated(r.Engine,`run`,`Engine.run ➤ use Matter.Runner.run(engine) instead`)}),(function(e,t,n){var r={};e.exports=r;var i=n(15),a=n(0);(function(){r.name=`matter-js`,r.version=`0.20.0`,r.uses=[],r.used=[],r.use=function(){i.use(r,Array.prototype.slice.call(arguments))},r.before=function(e,t){return e=e.replace(/^Matter./,``),a.chainPathBefore(r,e,t)},r.after=function(e,t){return e=e.replace(/^Matter./,``),a.chainPathAfter(r,e,t)}})()}),(function(e,t,n){var r={};e.exports=r;var i=n(6),a=n(10),o=n(0),s=n(4),c=n(12),l=o.deprecated;(function(){r.stack=function(e,t,n,r,a,o,c){for(var l=i.create({label:`Stack`}),u=e,d=t,f,p=0,m=0;mh&&(h=v),s.translate(_,{x:y*.5,y:v*.5}),u=_.bounds.max.x+a,i.addBody(l,_),f=_,p+=1}else u+=a}d+=h+o,u=e}return l},r.chain=function(e,t,n,r,s,c){for(var l=e.bodies,u=1;u0)for(u=0;u0&&(p=c[u-1+(l-1)*t],i.addConstraint(e,a.create(o.extend({bodyA:p,bodyB:f},s)))),r&&uf)){l=f-l;var m=l,h=n-1-l;if(!(oh))return d===1&&s.translate(u,{x:(o+(n%2==1?1:-1))*p,y:0}),c(e+(u?o*p:0)+o*a,r,o,l,u,d)}})},r.newtonsCradle=function(e,t,n,r,o){for(var s=i.create({label:`Newtons Cradle`}),l=0;lc.bounds.max.x||p.bounds.max.yc.bounds.max.y))){var m=r._getRegion(e,p);if(!p.region||m.id!==p.region.id||i){(!p.region||i)&&(p.region=m);var h=r._regionUnion(m,p.region);for(o=h.startCol;o<=h.endCol;o++)for(s=h.startRow;s<=h.endRow;s++){d=r._getBucketId(o,s),u=l[d];var g=o>=m.startCol&&o<=m.endCol&&s>=m.startRow&&s<=m.endRow,_=o>=p.region.startCol&&o<=p.region.endCol&&s>=p.region.startRow&&s<=p.region.endRow;!g&&_&&_&&u&&r._bucketRemoveBody(e,u,p),(p.region===m||g&&!_||i)&&(u||=r._createBucket(l,d),r._bucketAddBody(e,u,p))}p.region=m,f=!0}}}f&&(e.pairsList=r._createActivePairsList(e))},o(r,`update`,`Grid.update ➤ replaced by Matter.Detector`),r.clear=function(e){e.buckets={},e.pairs={},e.pairsList=[]},o(r,`clear`,`Grid.clear ➤ replaced by Matter.Detector`),r._regionUnion=function(e,t){var n=Math.min(e.startCol,t.startCol),i=Math.max(e.endCol,t.endCol),a=Math.min(e.startRow,t.startRow),o=Math.max(e.endRow,t.endRow);return r._createRegion(n,i,a,o)},r._getRegion=function(e,t){var n=t.bounds,i=Math.floor(n.min.x/e.bucketWidth),a=Math.floor(n.max.x/e.bucketWidth),o=Math.floor(n.min.y/e.bucketHeight),s=Math.floor(n.max.y/e.bucketHeight);return r._createRegion(i,a,o,s)},r._createRegion=function(e,t,n,r){return{id:e+`,`+t+`,`+n+`,`+r,startCol:e,endCol:t,startRow:n,endRow:r}},r._getBucketId=function(e,t){return`C`+e+`R`+t},r._createBucket=function(e,t){return e[t]=[]},r._bucketAddBody=function(e,t,n){var r=e.pairs,a=i.id,o=t.length,s;for(s=0;s0?o.push(t):delete n[r[s]];return o}})()}),(function(e,t,n){var r={};e.exports=r;var i=n(3),a=n(7),o=n(14),s=n(5),c=n(13),l=n(10),u=n(6),d=n(0),f=n(1);(function(){r.create=function(e,t){var n=(e?e.mouse:null)||(t?t.mouse:null);n||(e&&e.render&&e.render.canvas?n=o.create(e.render.canvas):t&&t.element?n=o.create(t.element):(n=o.create(),d.warn(`MouseConstraint.create: options.mouse was undefined, options.element was undefined, may not function as expected`)));var i=l.create({label:`Mouse 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d=i.max.x-i.min.x+2*n.x,f=i.max.y-i.min.y+2*n.y,p=e.canvas.height,m=e.canvas.width/p,h=d/f,g=1,_=1;h>m?_=h/m:g=m/h,e.options.hasBounds=!0,e.bounds.min.x=i.min.x,e.bounds.max.x=i.min.x+d*g,e.bounds.min.y=i.min.y,e.bounds.max.y=i.min.y+f*_,r&&(e.bounds.min.x+=d*.5-d*g*.5,e.bounds.max.x+=d*.5-d*g*.5,e.bounds.min.y+=f*.5-f*_*.5,e.bounds.max.y+=f*.5-f*_*.5),e.bounds.min.x-=n.x,e.bounds.max.x-=n.x,e.bounds.min.y-=n.y,e.bounds.max.y-=n.y,e.mouse&&(u.setScale(e.mouse,{x:(e.bounds.max.x-e.bounds.min.x)/e.canvas.width,y:(e.bounds.max.y-e.bounds.min.y)/e.canvas.height}),u.setOffset(e.mouse,e.bounds.min))},r.startViewTransform=function(e){var 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n=[],r=this.begin_nodes[e][0].prev;if(r===null)return[];let i=r.clone();for(;i.prev!==null;)n.push(i.clone()),i=i.clone().prev.clone();return n.reverse(),n}piece(e){return this.chars.slice(e.pos,e.pos+e.length).join(``)}tokens(){return this.viterbi().map(e=>this.piece(e))}token_ids(){return this.viterbi().map(e=>e.token_id)}};function $s(e){if(e.length===0)throw Error(`Array must not be empty`);let t=e[0],n=0;for(let r=1;r[e,t])),this.bos_token=` `,this.bos_token_id=this.tokens_to_ids.get(this.bos_token),this.eos_token=t,this.eos_token_id=this.tokens_to_ids.get(this.eos_token),this.unk_token=this.vocab[this.unk_token_id],this.min_score=$s(this.scores)[0],this.unk_score=this.min_score-10,this.scores[this.unk_token_id]=this.unk_score,this.trie=new Xs,this.trie.extend(this.vocab),this.fuse_unk=!0}populate_nodes(e){let t=e.chars,n=0;for(;ne>t,t=1/0){this._heap=[],this._comparator=e,this._max_size=t}get size(){return this._heap.length}is_empty(){return this.size===0}peek(){return this._heap[0]}push(...e){return this.extend(e)}extend(e){for(let t of e)if(this.size0&&this._swap(0,t),this._heap.pop(),this._sift_down(),e}replace(e){let t=this.peek();return this._heap[0]=e,this._sift_down(),t}_parent(e){return(e+1>>>1)-1}_left(e){return(e<<1)+1}_right(e){return e+1<<1}_greater(e,t){return this._comparator(this._heap[e],this._heap[t])}_swap(e,t){let n=this._heap[e];this._heap[e]=this._heap[t],this._heap[t]=n}_sift_up(){this._sift_up_from(this.size-1)}_sift_up_from(e){for(;e>0&&this._greater(e,this._parent(e));)this._swap(e,this._parent(e)),e=this._parent(e)}_sift_down(){let e=0;for(;this._left(e)this.capacity&&this.cache.delete(this.cache.keys().next().value)}clear(){this.cache.clear()}},rc=class extends qs{constructor(e){super(e),this.tokens_to_ids=ds(e.vocab),this.unk_token_id=this.tokens_to_ids.get(e.unk_token),this.unk_token=e.unk_token,this.vocab=Array(this.tokens_to_ids.size);for(let[e,t]of this.tokens_to_ids)this.vocab[t]=e;this.merges=Array.isArray(e.merges[0])?e.merges:e.merges.map(e=>e.split(` `,2)),this.bpe_ranks=new Map(this.merges.map((e,t)=>[JSON.stringify(e),t])),this.end_of_word_suffix=e.end_of_word_suffix,this.continuing_subword_suffix=e.continuing_subword_suffix??null,this.byte_fallback=this.config.byte_fallback??!1,this.byte_fallback&&(this.text_encoder=new TextEncoder),this.ignore_merges=this.config.ignore_merges??!1,this.max_length_to_cache=256,this.cache_capacity=1e4,this.cache=new nc(this.cache_capacity)}clear_cache(){this.cache.clear()}bpe(e){if(e.length===0)return[];let t=this.cache.get(e);if(t!==void 0)return t;let n=Array.from(e);this.end_of_word_suffix&&(n[n.length-1]+=this.end_of_word_suffix);let r=[];if(n.length>1){let e=new tc((e,t)=>e.score`<0x${e.toString(16).toUpperCase().padStart(2,`0`)}>`);e.every(e=>this.tokens_to_ids.has(e))?t.push(...e):this.unk_token!=null&&t.push(this.unk_token)}else this.unk_token!=null&&t.push(this.unk_token)}return t}},ic=class extends qs{constructor(e,t){super(e);let n=e.vocab;this.tokens_to_ids=ds(t.target_lang?n[t.target_lang]:n),this.bos_token=t.bos_token,this.bos_token_id=this.tokens_to_ids.get(this.bos_token),this.eos_token=t.eos_token,this.eos_token_id=this.tokens_to_ids.get(this.eos_token),this.pad_token=t.pad_token,this.pad_token_id=this.tokens_to_ids.get(this.pad_token),this.unk_token=t.unk_token,this.unk_token_id=this.tokens_to_ids.get(this.unk_token),this.vocab=Array(this.tokens_to_ids.size);for(let[e,t]of this.tokens_to_ids)this.vocab[t]=e}encode(e){return e}};function ac(e,t){switch(e.type){case`WordPiece`:return new Js(e);case`Unigram`:return new ec(e,t.eos_token);case`BPE`:return new rc(e);default:if(e.vocab)return Array.isArray(e.vocab)?new ec(e,t.eos_token):Object.hasOwn(e,`continuing_subword_prefix`)&&Object.hasOwn(e,`unk_token`)?Object.hasOwn(e,`merges`)?new rc(e):new Js(e):new ic(e,{target_lang:t.target_lang,bos_token:t.bos_token,eos_token:t.eos_token,pad_token:t.pad_token,unk_token:t.unk_token});throw Error(`Unknown TokenizerModel type: ${e?.type}`)}}var oc=ac,sc=class extends gs{constructor(e){super(),this.config=e}_call(e,...t){return this.post_process(e,...t)}},cc=class extends sc{post_process(e,t=null,n=!0){let r=t===null?this.config.single:this.config.pair,i=[],a=[];for(let o of r)`SpecialToken`in o?n&&(i.push(o.SpecialToken.id),a.push(o.SpecialToken.type_id)):`Sequence`in o&&(o.Sequence.id===`A`?(i=us(i,e),a=us(a,Array(e.length).fill(o.Sequence.type_id))):o.Sequence.id===`B`&&(i=us(i,t),a=us(a,Array(t.length).fill(o.Sequence.type_id))));return{tokens:i,token_type_ids:a}}},lc=class extends sc{post_process(e,t=null){return{tokens:e,tokens_pair:t}}},uc=class extends sc{constructor(e){super(e),this.sep=e.sep,this.cls=e.cls}post_process(e,t=null,n=!0){n&&(e=us([this.cls[0]],e,[this.sep[0]]));let r=Array(e.length).fill(0);if(t){let i=[],a=n?[this.sep[0]]:[];e=us(e,i,t,a),r=us(r,Array(t.length+i.length+a.length).fill(1))}return{tokens:e,token_type_ids:r}}},dc=class extends sc{constructor(e){super(e),this.sep=e.sep,this.cls=e.cls}post_process(e,t,n=!0){n&&(e=us([this.cls[0]],e,[this.sep[0]]));let r=Array(e.length).fill(0);if(t){let i=n?[this.sep[0]]:[],a=n?[this.sep[0]]:[];e=us(e,i,t,a),r=us(r,Array(t.length+i.length+a.length).fill(1))}return{tokens:e,token_type_ids:r}}},fc=class extends sc{constructor(e){super(e),this.processors=(e.processors??[]).map(e=>mc(e))}post_process(e,t=null,n=!0){let r={tokens:e,tokens_pair:t};for(let e of this.processors)r=e.post_process(r.tokens,r.tokens_pair,n);return r}};function pc(e){if(e===null)return null;switch(e.type){case`TemplateProcessing`:return new cc(e);case`ByteLevel`:return new lc(e);case`BertProcessing`:return new uc(e);case`RobertaProcessing`:return new dc(e);case`Sequence`:return new fc(e);default:throw Error(`Unknown PostProcessor type: ${e.type}`)}}var mc=pc,hc=class extends gs{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(``)}},gc=class extends hc{constructor(e){super(e),this.byte_decoder=Qo,this.text_decoder=new TextDecoder(`utf-8`,{fatal:!1,ignoreBOM:!0}),this.end_of_word_suffix=null}convert_tokens_to_string(e){let t=e.join(``),n=new Uint8Array([...t].map(e=>this.byte_decoder[e]));return this.text_decoder.decode(n)}decode_chain(e){let t=[],n=[];for(let r of e)this.added_tokens.find(e=>e.content===r)===void 0?n.push(r):(n.length>0&&(t.push(this.convert_tokens_to_string(n)),n=[]),t.push(r));return n.length>0&&t.push(this.convert_tokens_to_string(n)),t}},_c=class extends hc{constructor(e){super(e),this.cleanup=e.cleanup}decode_chain(e){return e.map((e,t)=>{if(t!==0){let t=this.config.prefix;e=t&&e.startsWith(t)?e.replace(t,``):` `+e}return this.cleanup&&(e=ns(e)),e})}},vc=class extends hc{constructor(e){super(e),this.replacement=e.replacement??`▁`}decode_chain(e){let t=[];for(let n=0;nt.replaceAll(this.suffix,n===e.length-1?``:` `))}},bc=class extends hc{constructor(e){super(e),this.pad_token=e.pad_token??``,this.word_delimiter_token=e.word_delimiter_token??``,this.cleanup=e.cleanup}convert_tokens_to_string(e){if(e.length===0)return``;let t=[e[0]];for(let n=1;ne!==this.pad_token).join(``);return this.cleanup&&(n=ns(n).replaceAll(this.word_delimiter_token,` `).trim()),n}decode_chain(e){return[this.convert_tokens_to_string(e)]}},xc=class extends hc{constructor(e){super(e),this.decoders=(e.decoders??[]).map(e=>Dc(e))}decode_chain(e){return this.decoders.reduce((e,t)=>t.decode_chain(e),e)}},Sc=class extends hc{decode_chain(e){let t=rs(this.config.pattern),n=this.config.content??``;return t===null?e:e.map(e=>e.replaceAll(t,n))}},Cc=class extends hc{decode_chain(e){return[e.join(``)]}},wc=class extends hc{constructor(e){super(e),this.content=e.content??``,this.start=e.start??0,this.stop=e.stop??0}decode_chain(e){return e.map(e=>{let t=0;for(let n=0;n`)){let t=parseInt(r.slice(3,5),16);isNaN(t)||(e=t)}if(e!==null)n.push(e);else{if(n.length>0){let e=this.text_decoder.decode(Uint8Array.from(n));t.push(e),n=[]}t.push(r)}}if(n.length>0){let e=this.text_decoder.decode(Uint8Array.from(n));t.push(e),n=[]}return t}};function Ec(e){if(e===null)return null;switch(e.type){case`ByteLevel`:return new gc(e);case`WordPiece`:return new _c(e);case`Metaspace`:return new vc(e);case`BPEDecoder`:return new yc(e);case`CTC`:return new bc(e);case`Sequence`:return new xc(e);case`Replace`:return new Sc(e);case`Fuse`:return new Cc(e);case`Strip`:return new wc(e);case`ByteFallback`:return new Tc(e);default:throw Error(`Unknown Decoder type: ${e.type}`)}}var Dc=Ec,Oc=class{constructor(e,t){let n=ms(e,`Tokenizer`,[`model`,`decoder`,`post_processor`,`pre_tokenizer`,`normalizer`]);if(n)throw Error(n);let r=ms(t,`Config`);if(r)throw Error(r);this.tokenizer=e,this.config=t,this.normalizer=Ms(this.tokenizer.normalizer),this.pre_tokenizer=Ks(this.tokenizer.pre_tokenizer),this.model=oc(this.tokenizer.model,this.config),this.post_processor=mc(this.tokenizer.post_processor),this.decoder=Dc(this.tokenizer.decoder),this.special_tokens=[],this.all_special_ids=[],this.added_tokens=[];let i=[],a=[];this.added_tokens_map=new Map;for(let e of this.tokenizer.added_tokens){let t=new Xo(e);if(this.added_tokens.push(t),this.model.tokens_to_ids.set(t.content,t.id),this.model.vocab[t.id]=t.content,t.special&&(this.special_tokens.push(t.content),this.all_special_ids.push(t.id)),this.added_tokens_map.set(t.content,t),t.normalized&&this.normalizer!==null){let e=this.normalizer(t.content);a.push(e),this.added_tokens_map.set(e,t)}else 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n=0;n=`,W.ComparisonBinaryOperator],[`==`,W.ComparisonBinaryOperator],[`!=`,W.ComparisonBinaryOperator],[`<`,W.ComparisonBinaryOperator],[`>`,W.ComparisonBinaryOperator],[`+`,W.AdditiveBinaryOperator],[`-`,W.AdditiveBinaryOperator],[`~`,W.AdditiveBinaryOperator],[`*`,W.MultiplicativeBinaryOperator],[`/`,W.MultiplicativeBinaryOperator],[`%`,W.MultiplicativeBinaryOperator],[`=`,W.Equals]],Pc=new Map([[`n`,` +`],[`t`,` `],[`r`,`\r`],[`b`,`\b`],[`f`,`\f`],[`v`,`\v`],[`'`,`'`],[`"`,`"`],[`\\`,`\\`]]);function Fc(e,t={}){return e.endsWith(` +`)&&(e=e.slice(0,-1)),t.lstrip_blocks&&(e=e.replace(/^[ \t]*({[#%-])/gm,`$1`)),t.trim_blocks&&(e=e.replace(/([#%-]})\n/g,`$1`)),e.replace(/{%\s*(end)?generation\s*%}/gs,``)}function Ic(e,t={}){let n=[],r=Fc(e,t),i=0,a=0,o=e=>{let t=``;for(;e(r[i]);){if(r[i]===`\\`){if(++i,i>=r.length)throw SyntaxError(`Unexpected end of input`);let e=r[i++],n=Pc.get(e);if(n===void 0)throw SyntaxError(`Unexpected escaped character: 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instanceof ServiceWorkerGlobalScope)&&Ed.versions?.web&&!Ed.wasm.wasmPaths){let e=`https://cdn.jsdelivr.net/npm/onnxruntime-web@${Ed.versions.web}/dist/`;Ed.wasm.wasmPaths=V.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`}}Ed.wasm.proxy=!1}Ed.webgpu&&(Ed.webgpu.powerPreference=`high-performance`),e(H.logLevel??Fo.WARNING),H.backends.onnx={...Ed,setLogLevel:e}}var Od=async(e,t,n)=>{let r=await Sd(new Uint8Array(e),t);return(async e=>{let t=Dd(),i=await wd(r,Object.fromEntries(Object.entries(e).map(([e,n])=>[e,(t?n.clone():n).ort_tensor])));return Array.isArray(n)?n.map(e=>new J(i[e])):new J(i[n])})},kd=class{static session_options={};static get nearest_interpolate_4d(){return this._nearest_interpolate_4d||=Od([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||=Od([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||=Od([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||=Od([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||=Od([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||=Od([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||=Od([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||=Od([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}},Ad=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`}),jd=V.IS_NODE_ENV?`cpu`:`wasm`;function Md(e,t,{warn:n}={}){return e?typeof e==`string`?e:e.hasOwnProperty(t)?e[t]:(n&&n(`device not specified for "${t}". Using the default device (${jd}).`),jd):jd}var Nd=(function(){let e;return async function(){if(e===void 0)if(!V.IS_WEBGPU_AVAILABLE)e=!1;else try{e=(await navigator.gpu.requestAdapter()).features.has(`shader-f16`)}catch{e=!1}return e}})(),Pd=Object.freeze({auto:`auto`,fp32:`fp32`,fp16:`fp16`,q8:`q8`,int8:`int8`,uint8:`uint8`,q4:`q4`,bnb4:`bnb4`,q4f16:`q4f16`}),Fd=Pd.fp32,Id=Object.freeze({[Ad.wasm]:Pd.q8}),Ld=Object.freeze({[Pd.fp32]:``,[Pd.fp16]:`_fp16`,[Pd.int8]:`_int8`,[Pd.uint8]:`_uint8`,[Pd.q8]:`_quantized`,[Pd.q4]:`_q4`,[Pd.q4f16]:`_q4f16`,[Pd.bnb4]:`_bnb4`});function Rd(e,t,n,{configDtype:r=null,warn:i}={}){let a,o=!1;e&&typeof e!=`string`?e.hasOwnProperty(t)?a=e[t]:(a=null,o=!0):a=e;let s;if(a===Pd.auto){if(r){let e=typeof r==`string`?r:r?.[t];if(e&&e!==Pd.auto&&Pd.hasOwnProperty(e))return e}s=Id[n]??Fd}else s=a&&Pd.hasOwnProperty(a)?a:Id[n]??Fd;return o&&i&&i(`dtype not specified for "${t}". 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t=0;tt?1:0;return new e(`bool`,n,this.dims)}lt(t){let n=new Uint8Array(this.data.length),r=this.data;for(let e=0;eMath.min(e,t),this,t,n,1/0);return new e(r,i,a)}max(t=null,n=!1){if(t===null){let t=Yu(this.data)[0];return new e(this.type,[t],[])}let[r,i,a]=ef((e,t)=>Math.max(e,t),this,t,n,-1/0);return new e(r,i,a)}argmin(t=null,n=!1){if(t!==null)throw Error("`dim !== null` not yet implemented.");let r=Ju(this.data)[1];return new e(`int64`,[BigInt(r)],[])}argmax(t=null,n=!1){if(t!==null)throw Error("`dim !== null` not yet implemented.");let r=Yu(this.data)[1];return new e(`int64`,[BigInt(r)],[])}repeat(...t){if(t.lengthe===1)){if(t.length===this.dims.length)return this.clone();let n=t.length-this.dims.length,r=Array(n).fill(1).concat(this.dims);return new e(this.type,this.data.slice(),r)}let n=t.length-this.dims.length,r=Array(n).fill(1).concat(this.dims),i=r.map((e,n)=>e*t[n]),a=i.reduce((e,t)=>e*t,1),o=this.data,s=new o.constructor(a),c=rf(r),l=rf(i);for(let 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Error(`The tensor must have 2 dimensions`);if(e.dims.at(-1)%8!=0)throw Error(`The last dimension of the tensor must be a multiple of 8`);if(![`binary`,`ubinary`].includes(t))throw Error(`The precision must be either 'binary' or 'ubinary'`);let n=t===`binary`,r=n?`int8`:`uint8`,i=n?Int8Array:Uint8Array,a=e.data,o=new i(a.length/8);for(let e=0;e0?1:0,r=Math.floor(e/8),i=e%8;o[r]|=t<<7-i,n&&i===0&&(o[r]-=128)}return new J(r,o,[e.dims[0],e.dims[1]/8])}async function mf(e){if(!e)throw Error(`modelId is required for get_tokenizer_files`);return(await Mu(e,`tokenizer_config.json`,{})).exists?[`tokenizer.json`,`tokenizer_config.json`]:[]}async function hf(e,t){let n=await mf(e);return await Promise.all(n.map(n=>Uu(e,n,!0,t)))}function gf(e){let t=e.dims;switch(t.length){case 1:return e.tolist();case 2:if(t[0]!==1)throw Error("Unable to decode tensor with `batch size !== 1`. Use `tokenizer.batch_decode(...)` for batched inputs.");return e.tolist()[0];default:throw Error(`Expected tensor to have 1-2 dimensions, got ${t.length}.`)}}var _f=[`bos_token`,`eos_token`,`unk_token`,`sep_token`,`pad_token`,`cls_token`,`mask_token`];function vf(e,t,n,r){for(let i of Object.keys(e)){let a=t-e[i].length,o=n(i),s=Array(a).fill(o);e[i]=r===`right`?Wo(e[i],s):Wo(s,e[i])}}function yf(e,t){for(let n of Object.keys(e))e[n].length=t}function bf(e,...t){for(let n of t){if(!Object.hasOwn(e,n))continue;let t=e[n];if(t)if(typeof t==`object`){if(t.__type===`AddedToken`)return t.content;throw Error(`Unknown token: ${t}`)}else return t}return null}function xf(e){let t=[];for(let n of e.get_added_tokens_decoder().values())n.special&&t.push(n);return t}var Y=class extends Ro{return_token_type_ids=!1;padding_side=`right`;constructor(e,t){if(super(),this._tokenizerJSON=e,this._tokenizerConfig=t,this._tokenizer=new Oc(e,t),this.config=t,this.padding_side=t.padding_side??this.padding_side,this.mask_token=bf(t,`mask_token`),this.mask_token_id=this._tokenizer.token_to_id(this.mask_token),this.pad_token=bf(t,`pad_token`,`eos_token`),this.pad_token_id=this._tokenizer.token_to_id(this.pad_token),this.sep_token=bf(t,`sep_token`),this.sep_token_id=this._tokenizer.token_to_id(this.sep_token),this.unk_token=bf(t,`unk_token`),this.unk_token_id=this._tokenizer.token_to_id(this.unk_token),this.bos_token=bf(t,`bos_token`),this.bos_token_id=this._tokenizer.token_to_id(this.bos_token),this.eos_token=bf(t,`eos_token`),this.eos_token_id=this._tokenizer.token_to_id(this.eos_token),this.chat_template=t.chat_template??null,Array.isArray(this.chat_template)){let e=Object.create(null);for(let{name:t,template:n}of this.chat_template){if(typeof t!=`string`||typeof n!=`string`)throw Error(`Chat template must be a list of objects with "name" and "template" properties`);e[t]=n}this.chat_template=e}this._compiled_template_cache=new Map;let n=xf(this._tokenizer);this.all_special_ids=n.map(e=>e.id),this.all_special_tokens=n.map(e=>e.content)}static async from_pretrained(e,{progress_callback:t=null,config:n=null,cache_dir:r=null,local_files_only:i=!1,revision:a=`main`}={}){let o=await hf(e,{progress_callback:t,config:n,cache_dir:r,local_files_only:i,revision:a});return new this(...o)}get_vocab(){return this._tokenizer.get_vocab()}get model_max_length(){return this._tokenizerConfig.model_max_length??1/0}get add_eos_token(){return this._tokenizerConfig.add_eos_token}get add_bos_token(){return this._tokenizerConfig.add_bos_token}convert_tokens_to_ids(e){return typeof e==`string`?this._tokenizer.token_to_id(e):e.map(e=>this._tokenizer.token_to_id(e))}_call(e,{text_pair:t=null,add_special_tokens:n=!0,padding:r=!1,truncation:i=null,max_length:a=null,return_tensor:o=!0,return_token_type_ids:s=null}={}){let c=Array.isArray(e),l;if(c){if(e.length===0)throw Error(`text array must be non-empty`);if(t!==null){if(!Array.isArray(t))throw Error(`text_pair must also be an array`);if(e.length!==t.length)throw Error(`text and text_pair must have the same length`);l=e.map((e,r)=>this._encode_plus(e,{text_pair:t[r],add_special_tokens:n,return_token_type_ids:s}))}else l=e.map(e=>this._encode_plus(e,{add_special_tokens:n,return_token_type_ids:s}))}else{if(e==null)throw Error(`text may not be null or undefined`);if(Array.isArray(t))throw Error("When specifying `text_pair`, since `text` is a string, `text_pair` must also be a string (i.e., not an array).");l=[this._encode_plus(e,{text_pair:t,add_special_tokens:n,return_token_type_ids:s})]}if(a===null?a=this.model_max_length:i===null&&(r===!0?(U.warn("`max_length` is ignored when `padding: true` and there is no truncation strategy. To pad to max length, use `padding: 'max_length'`."),a=this.model_max_length):r===!1&&(U.warn("Truncation was not explicitly activated but `max_length` is provided a specific value, please use `truncation: true` to explicitly truncate examples to max length."),i=!0)),r===!0&&(a=Math.min(Yu(l.map(e=>e.input_ids.length))[0],a??1/0)),a=Math.min(a,this.model_max_length??1/0),r||i)for(let e=0;ea?i&&yf(l[e],a):r&&vf(l[e],a,e=>e===`input_ids`?this.pad_token_id:0,this.padding_side);let u={};if(o){if(!(r&&i)&&l.some(e=>{for(let t of Object.keys(e))if(e[t].length!==l[0][t]?.length)return!0;return!1}))throw Error(`Unable to create tensor, you should probably activate truncation and/or padding with 'padding=true' and 'truncation=true' to have batched tensors with the same length.`);let e=[l.length,l[0].input_ids.length];for(let t of Object.keys(l[0]))u[t]=new J(`int64`,BigInt64Array.from(l.flatMap(e=>e[t]).map(BigInt)),e)}else{for(let e of Object.keys(l[0]))u[e]=l.map(t=>t[e]);if(!c)for(let e of Object.keys(u))u[e]=u[e][0]}return u}_encode_text(e){return e===null?null:this._tokenizer.encode(e).tokens}_encode_plus(e,{text_pair:t=null,add_special_tokens:n=!0,return_token_type_ids:r=null}={}){let{ids:i,attention_mask:a,token_type_ids:o}=this._tokenizer.encode(e,{text_pair:t,add_special_tokens:n,return_token_type_ids:r??this.return_token_type_ids});return{input_ids:i,attention_mask:a,...o?{token_type_ids:o}:{}}}tokenize(e,{pair:t=null,add_special_tokens:n=!1}={}){return this._tokenizer.tokenize(e,{text_pair:t,add_special_tokens:n})}encode(e,{text_pair:t=null,add_special_tokens:n=!0,return_token_type_ids:r=null}={}){return this._tokenizer.encode(e,{text_pair:t,add_special_tokens:n,return_token_type_ids:r}).ids}batch_decode(e,t={}){return e instanceof J&&(e=e.tolist()),e.map(e=>this.decode(e,t))}decode(e,t={}){if(e instanceof J&&(e=gf(e)),!Array.isArray(e)||e.length===0||!Vo(e[0]))throw Error(`token_ids must be a non-empty array of integers.`);return this.decode_single(e,t)}decode_single(e,{skip_special_tokens:t=!1,clean_up_tokenization_spaces:n=null}){return this._tokenizer.decode(e,{skip_special_tokens:t,clean_up_tokenization_spaces:n})}get_chat_template({chat_template:e=null,tools:t=null}={}){if(this.chat_template&&typeof this.chat_template==`object`){let n=this.chat_template;if(e!==null&&Object.hasOwn(n,e))e=n[e];else if(e===null)if(t!==null&&`tool_use`in n)e=n.tool_use;else if(`default`in n)e=n.default;else throw Error(`This model has multiple chat templates with no default specified! Please either pass a chat template or the name of the template you wish to use to the 'chat_template' argument. Available template names are ${Object.keys(n).sort()}.`)}else if(e===null)if(this.chat_template)e=this.chat_template;else throw Error(`Cannot use apply_chat_template() because tokenizer.chat_template is not set and no template argument was passed! For information about writing templates and setting the tokenizer.chat_template attribute, please see the documentation at https://huggingface.co/docs/transformers/main/en/chat_templating`);return e}apply_chat_template(e,{tools:t=null,documents:n=null,chat_template:r=null,add_generation_prompt:i=!1,tokenize:a=!0,padding:o=!1,truncation:s=!1,max_length:c=null,return_tensor:l=!0,return_dict:u=!0,tokenizer_kwargs:d={},...f}={}){if(r=this.get_chat_template({chat_template:r,tools:t}),typeof r!=`string`)throw Error(`chat_template must be a string, but got ${typeof r}`);let p=this._compiled_template_cache.get(r);p===void 0&&(p=new ru(r),this._compiled_template_cache.set(r,p));let m=Object.create(null);for(let e of _f){let t=bf(this.config,e);t&&(m[e]=t)}let h=p.render({messages:e,add_generation_prompt:i,tools:t,documents:n,...m,...f});if(a){let e=this._call(h,{add_special_tokens:!1,padding:o,truncation:s,max_length:c,return_tensor:l,...d});return u?e:e.input_ids}return h}};function Sf(e,t,n,r){if(!(`language_codes`in e)||!Array.isArray(e.language_codes))throw Error("Tokenizer must have `language_codes` attribute set and it should be an array of language ids.");if(!(`languageRegex`in e)||!(e.languageRegex instanceof RegExp))throw Error("Tokenizer must have `languageRegex` attribute set and it should be a regular expression.");if(!(`lang_to_token`in e)||typeof e.lang_to_token!=`function`)throw Error("Tokenizer must have `lang_to_token` attribute set and it should be a function.");let i=r.src_lang,a=r.tgt_lang;if(!e.language_codes.includes(a))throw Error(`Target language code "${a}" is not valid. 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Also make sure WhisperTimeStampLogitsProcessor was used during generation.`);let[e,n]=this.findLongestCommonSequence(p,m),r=this.decode(e);l.text=r,o&&(l.words=this.collateWordTimestamps(e,n,a)),c.push(l)}let v=Object.create(null),y=c.map(e=>e.text).join(``);if(t||n){for(let e=0;e0,o=a?[]:null,s=a?t[0]:null;for(let c=1;ce===g[n]&&s[i+n][0]-vp<=t[c][m+n][0]).length:p.filter((e,t)=>e===g[t]).length;let v=e/1e4,y=_/e+v;_>1&&y>u&&(u=y,d=[i,o,m,h])}let[p,m,h,g]=d,_=Math.floor((m+p)/2),v=Math.floor((g+h)/2);if(a&&u===0&&r>0){let e=s[r-1][0],n=t[c].findIndex(t=>t[0]>=e);v=n===-1?l.length:n}i.push(...n.slice(0,_)),n=l.slice(v),r=n.length,a&&(o.push(...s.slice(0,_)),s=t[c].slice(v))}return i.push(...n),a?(o.push(...s),[i,o]):[i,[]]}collateWordTimestamps(e,t,n){let[r,i,a]=this.combineTokensIntoWords(e,n),o=[];for(let e=0;e=r){let e=((t-r)*n).toFixed(2);i.push(`<|${e}|>`),i.push([])}else i[i.length-1].push(t);return i=i.map(e=>typeof e==`string`?e:super.decode(e,t)),i.join(``)}splitTokensOnUnicode(e){let t=this.decode(e,{decode_with_timestamps:!0}),n=[],r=[],i=[],a=[],o=[],s=0;for(let c=0;c=this._tokenizer.token_to_id(`<|endoftext|>`),d=s.startsWith(` `),f=s.trim(),p=_p.test(f);if(u||d||p||i.length===0)i.push(s),a.push(c),o.push(l);else{let e=i.length-1;i[e]+=s,a[e].push(...c),o[e].push(...l)}}return[i,a,o]}mergePunctuations(e,t,n,r,i){let a=structuredClone(e),o=structuredClone(t),s=structuredClone(n),c=a.length-2,l=a.length-1;for(;c>=0;)a[c].startsWith(` `)&&r.includes(a[c].trim())?(a[l]=a[c]+a[l],o[l]=Wo(o[c],o[l]),s[l]=Wo(s[c],s[l]),a[c]=``,o[c]=[],s[c]=[]):l=c,--c;for(c=0,l=1;le),o.filter(e=>e.length>0),s.filter(e=>e.length>0)]}},bp=class extends Y{},xp=class extends Y{return_token_type_ids=!0;constructor(e,t){super(e,t),U.warn('WARNING: `XLMTokenizer` is not yet supported by Hugging Face\'s "fast" tokenizers library. Therefore, you may experience slightly inaccurate results.')}},Sp=class{static async from_pretrained(e,{progress_callback:t=null,config:n=null,cache_dir:r=null,local_files_only:i=!1,revision:a=`main`}={}){let[o,s]=await hf(e,{progress_callback:t,config:n,cache_dir:r,local_files_only:i,revision:a}),c=s.tokenizer_class?.replace(/Fast$/,``)??`PreTrainedTokenizer`,l=Cf[c];return l||=(U.warn(`Unknown tokenizer class "${c}", attempting to construct from base class.`),Y),new l(o,s)}},Cp=`https://github.com/huggingface/transformers.js/issues/new/choose`,wp=`preprocessor_config.json`,Tp=wp,Ep=`processor_config.json`,Dp=`chat_template.jinja`,Op=class extends Ro{static classes=[`image_processor_class`,`tokenizer_class`,`feature_extractor_class`];static uses_processor_config=!1;static uses_chat_template_file=!1;constructor(e,t,n){super(),this.config=e,this.components=t,this.chat_template=n}get image_processor(){return this.components.image_processor}get tokenizer(){return this.components.tokenizer}get feature_extractor(){return this.components.feature_extractor}apply_chat_template(e,t={}){if(!this.tokenizer)throw Error(`Unable to apply chat template without a tokenizer.`);return this.tokenizer.apply_chat_template(e,{tokenize:!1,chat_template:this.chat_template??void 0,...t})}batch_decode(...e){if(!this.tokenizer)throw Error(`Unable to decode without a tokenizer.`);return this.tokenizer.batch_decode(...e)}decode(...e){if(!this.tokenizer)throw Error(`Unable to decode without a tokenizer.`);return this.tokenizer.decode(...e)}async _call(e,...t){for(let n of[this.image_processor,this.feature_extractor,this.tokenizer])if(n)return n(e,...t);throw Error(`No image processor, feature extractor, or tokenizer found.`)}static async from_pretrained(e,t={}){let[n,r,i]=await Promise.all([this.uses_processor_config?Uu(e,Ep,!0,t):{},Promise.all(this.classes.filter(e=>e in this).map(async n=>{let r=await this[n].from_pretrained(e,t);return[n.replace(/_class$/,``),r]})).then(Object.fromEntries),this.uses_chat_template_file?Hu(e,Dp,!0,t):null]);return new this(n,r,i)}},kp={};so(kp,{ChatterboxProcessor:()=>xm,CohereAsrProcessor:()=>Cm,Florence2Processor:()=>cg,Gemma3Processor:()=>lg,Gemma3nProcessor:()=>ug,Glm46VProcessor:()=>fg,GraniteSpeechProcessor:()=>pg,GroundingDinoProcessor:()=>hg,Idefics3Processor:()=>yg,JinaCLIPProcessor:()=>xg,Lfm2VlProcessor:()=>Sg,LlavaProcessor:()=>Cg,MgpstrProcessor:()=>Tg,MoonshineProcessor:()=>Eg,OwlViTProcessor:()=>Dg,PaliGemmaProcessor:()=>Ag,Phi3VProcessor:()=>Ng,PixtralProcessor:()=>Pg,Processor:()=>Op,PyAnnoteProcessor:()=>Fg,Qwen2VLProcessor:()=>dg,Qwen2_5_VLProcessor:()=>Ig,Qwen3VLProcessor:()=>Lg,Sam2Processor:()=>zg,Sam2VideoProcessor:()=>Bg,SamProcessor:()=>Rg,SmolVLMProcessor:()=>yg,SpeechT5Processor:()=>Vg,UltravoxProcessor:()=>Hg,VLChatProcessor:()=>bg,VoxtralProcessor:()=>qg,VoxtralRealtimeProcessor:()=>$g,Wav2Vec2Processor:()=>e_,Wav2Vec2ProcessorWithLM:()=>t_,WhisperProcessor:()=>n_});var Ap=class extends Ro{constructor(e){super(),this.config=e}static async from_pretrained(e,t={}){let n=await Uu(e,wp,!0,t);return new this(n)}};function jp(e,t){if(!(e instanceof Float32Array||e instanceof Float64Array))throw Error(`${t} expects input to be a Float32Array or a Float64Array, but got ${e?.constructor?.name??typeof e} instead. If using the feature extractor directly, remember to use \`read_audio(url, sampling_rate)\` to obtain the raw audio data of the file/url.`)}var Mp={};so(Mp,{ASTFeatureExtractor:()=>tm,ChatterboxFeatureExtractor:()=>rm,ClapFeatureExtractor:()=>im,CohereAsrFeatureExtractor:()=>sm,DacFeatureExtractor:()=>cm,EncodecFeatureExtractor:()=>nm,FeatureExtractor:()=>Ap,Gemma3nAudioFeatureExtractor:()=>lm,GraniteSpeechFeatureExtractor:()=>um,MoonshineFeatureExtractor:()=>dm,ParakeetFeatureExtractor:()=>om,PyAnnoteFeatureExtractor:()=>fm,SeamlessM4TFeatureExtractor:()=>pm,SnacFeatureExtractor:()=>mm,SpeechT5FeatureExtractor:()=>hm,VoxtralRealtimeFeatureExtractor:()=>vm,Wav2Vec2FeatureExtractor:()=>gm,WeSpeakerFeatureExtractor:()=>_m,WhisperFeatureExtractor:()=>ym});var Np={fromWeb:()=>{}};async function Pp(e,t){if(V.IS_BROWSER_ENV){if(V.IS_WEBWORKER_ENV)throw Error(`Unable to save a file from a Web Worker.`);let n=URL.createObjectURL(t),r=document.createElement(`a`);r.href=n,r.download=e,r.click(),r.remove(),URL.revokeObjectURL(n)}else if(V.IS_FS_AVAILABLE){let n=t.stream();await(Np.fromWeb(n),co.createWriteStream(e),void 0)}else throw Error(`Unable to save because filesystem is disabled in this environment.`)}async function Fp(e,t){if(typeof AudioContext>`u`)throw Error("Unable to load audio from path/URL since `AudioContext` is not available in your environment. Instead, audio data should be passed directly to the pipeline/processor. For more information and some example code, see https://huggingface.co/docs/transformers.js/guides/node-audio-processing.");let n=await(await Pu(e)).arrayBuffer(),r=new AudioContext({sampleRate:t});t===void 0&&U.warn(`No sampling rate provided, using default of ${r.sampleRate}Hz.`);let i=await r.decodeAudioData(n),a;if(i.numberOfChannels===2){let e=Math.sqrt(2),t=i.getChannelData(0),n=i.getChannelData(1);a=new Float32Array(t.length);for(let r=0;r2595*Math.log10(1+e/700),kaldi:e=>1127*Math.log(1+e/700),slaney:(e,t=1e3,n=15,r=27/Math.log(6.4))=>e>=t?n+Math.log(e/t)*r:3*e/200};function Bp(e,t=`htk`){let n=zp[t];if(!n)throw Error(`mel_scale should be one of "htk", "slaney" or "kaldi".`);return typeof e==`number`?n(e):e.map(e=>n(e))}var Vp={htk:e=>700*(10**(e/2595)-1),kaldi:e=>700*(Math.exp(e/1127)-1),slaney:(e,t=1e3,n=15,r=Math.log(6.4)/27)=>e>=n?t*Math.exp(r*(e-n)):200*e/3};function Hp(e,t=`htk`){let n=Vp[t];if(!n)throw Error(`mel_scale should be one of "htk", "slaney" or "kaldi".`);return typeof e==`number`?n(e):e.map(e=>n(e))}function Up(e,t){let n=Float64Array.from({length:t.length-1},(e,n)=>t[n+1]-t[n]),r=Array.from({length:e.length},()=>Array(t.length));for(let n=0;nArray(e.length));for(let t=0;te+r*n)}function Gp(e,t,n,r,i,a=null,o=`htk`,s=!1){if(a!==null&&a!==`slaney`)throw Error(`norm must be one of null or "slaney"`);if(e<2)throw Error(`Require num_frequency_bins: ${e} >= 2`);if(n>r)throw Error(`Require min_frequency: ${n} <= max_frequency: ${r}`);let c=Wp(Bp(n,o),Bp(r,o),t+2),l=Hp(c,o),u;if(s){let t=i/((e-1)*2);u=Bp(Float64Array.from({length:e},(e,n)=>n*t),o),l=c}else u=Wp(0,Math.floor(i/2),e);let d=Up(u,l);if(a!==null&&a===`slaney`)for(let n=0;ni)throw Error(`frame_length (${n}) may not be larger than fft_length (${i})`);if(w!==n)throw Error(`Length of the window (${w}) must equal frame_length (${n})`);if(r<=0)throw Error(`hop_length must be greater than zero`);if(a===null&&d!==null)throw Error("You have provided `mel_filters` but `power` is `None`. Mel spectrogram computation is not yet supported for complex-valued spectrogram. Specify `power` to fix this issue.");if(!u)throw Error("`preemphasis_htk_flavor=false` is not currently supported.");if(o){let t=Math.floor(n/2);switch(s){case`reflect`:e=Kp(e,t,t);break;case`constant`:{let n=new e.constructor(e.length+2*t);n.set(e,t),e=n;break}default:throw Error(`pad_mode="${s}" not implemented yet.`)}}let T=Math.floor(1+Math.floor((e.length-n)/r));y!==null&&TT?x&&(O=b):O=D=b);let k=new $u(i),A=new Float64Array(i),ee=new Float64Array(k.outputBufferSize),te=new Float32Array(E*O);for(let i=0;i=1;--e)A[e]-=l*A[e-1];A[0]*=1-l}for(let e=0;ee**.85);break;default:throw Error(`Unknown window type ${t}.`)}if(n&&(o=o.subarray(0,e)),r===null||e===r)return o;if(e>r)throw Error(`Length of the window (${e}) may not be larger than frame_length (${r})`);let s=new Float64Array(r),c=i?Math.floor((r-e)/2):0;return s.set(o,c),s}function Qp(e,t){let n=e.reduce((e,t)=>e+t.length,0),r=new ArrayBuffer(44),i=new DataView(r);return $p(i,0,`RIFF`),i.setUint32(4,36+n*4,!0),$p(i,8,`WAVE`),$p(i,12,`fmt `),i.setUint32(16,16,!0),i.setUint16(20,3,!0),i.setUint16(22,1,!0),i.setUint32(24,t,!0),i.setUint32(28,t*4,!0),i.setUint16(32,4,!0),i.setUint16(34,32,!0),$p(i,36,`data`),i.setUint32(40,n*4,!0),new Blob([r,...e.map(e=>e.buffer)],{type:`audio/wav`})}function $p(e,t,n){for(let r=0;re+t.length,0),t=new Float32Array(e),n=0;for(let e of this.audio)t.set(e,n),n+=e.length;return t}else return this.audio}toBlob(){let e=this.audio;return e instanceof Float32Array&&(e=[e]),Qp(e,this.sampling_rate)}async save(e){return Pp(e,this.toBlob())}},tm=class extends Ap{constructor(e){super(e);let t=this.config.sampling_rate;this.mel_filters=Gp(257,this.config.num_mel_bins,20,Math.floor(t/2),t,null,`kaldi`,!0),this.window=Zp(400,`hann`,{periodic:!1}),this.mean=this.config.mean,this.std=this.config.std}async _extract_fbank_features(e,t){return Xp(e,this.window,400,160,{fft_length:512,power:2,center:!1,preemphasis:.97,mel_filters:this.mel_filters,log_mel:`log`,mel_floor:1.192092955078125e-7,remove_dc_offset:!0,max_num_frames:t,transpose:!0})}async _call(e){jp(e,`ASTFeatureExtractor`);let t=await this._extract_fbank_features(e,this.config.max_length);if(this.config.do_normalize){let e=this.std*2,n=t.data;for(let t=0;t0)if(n===`rand_trunc`){let n=Math.floor(lu.random()*(a+1));e=e.subarray(n,n+t),i=await this._extract_fbank_features(e,this.mel_filters_slaney,this.config.nb_max_samples)}else throw Error(`Truncation strategy "${n}" not implemented`);else{if(a<0){let n=new Float64Array(t);if(n.set(e),r===`repeat`)for(let r=e.length;r=1;--n)e[n]-=t*e[n-1];return await Xp(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){jp(e,`ParakeetFeatureExtractor`);let t=await this._extract_fbank_features(e),n=Math.floor((e.length+Math.floor(this.config.n_fft/2)*2-this.config.n_fft)/this.config.hop_length),r=t.data;r.fill(0,n*t.dims[1]);let[i,a]=t.dims,o=new Float64Array(a),s=new Float64Array(a);for(let e=0;e1?n-1:1;for(let e=0;e=l){s.push(e.slice(c,l));break}let t=Math.max(c,c+a-o),n=Math.min(c+a,l),i;i=n<=t?c+a:this._find_split_point_energy(e,t,n,r),i=Math.max(c+1,Math.min(i,l)),s.push(e.slice(c,i)),c=i}return s}_find_split_point_energy(e,t,n,r){let i=n-t;if(i<=r)return Math.floor((t+n)/2);let a=1/0,o=t,s=i-r;for(let n=0;n<=s;n+=r){let i=0;for(let a=0;at&&(e=e.slice(0,t)),r&&e.length%i!==0){let t=i-e.length%i,n=new Float64Array(e.length+t);n.set(e),this.config.padding_value!==0&&n.fill(this.config.padding_value,e.length),e=n}let a=await this._extract_fbank_features(e,this.config.max_length),o=of([1,a.dims[0]],!0);return{input_features:a.unsqueeze_(0),input_features_mask:o}}},um=class extends Ap{constructor(e){super(e);let{n_fft:t,win_length:n,n_mels:r,sample_rate:i}=e.melspec_kwargs;this.mel_filters=Gp(Math.floor(1+t/2),r,0,i/2,i,null,`htk`);let a=Zp(n,`hann`);this.window=new Float64Array(t);let o=Math.floor((t-n)/2);this.window.set(a,o)}async _call(e){jp(e,`GraniteSpeechFeatureExtractor`);let{n_fft:t,hop_length:n,n_mels:r}=this.config.melspec_kwargs,i=1+Math.floor((e.length-1)/n),a=i-i%2;return{input_features:(await Xp(e,this.window,t,n,{power:2,mel_filters:this.mel_filters,log_mel:`log10_max_norm`,transpose:!0,max_num_frames:a,do_pad:!1})).view(-1,2*r).unsqueeze_(0)}}},dm=class extends Ap{async _call(e){jp(e,`MoonshineFeatureExtractor`),e instanceof Float64Array&&(e=new Float32Array(e));let t=[1,e.length];return{input_values:new J(`float32`,e,t)}}},fm=class extends Ap{async _call(e){jp(e,`PyAnnoteFeatureExtractor`),e instanceof Float64Array&&(e=new Float32Array(e));let t=[1,1,e.length];return{input_values:new J(`float32`,e,t)}}samples_to_frames(e){return(e-this.config.offset)/this.config.step}post_process_speaker_diarization(e,t){let n=t/this.samples_to_frames(t)/this.config.sampling_rate,r=[];for(let t of e.tolist()){let e=[],i=-1;for(let n=0;n({id:e,start:t*n,end:r*n,confidence:i/(r-t)})))}return r}},pm=class extends Ap{constructor(e){super(e);let t=this.config.sampling_rate;this.mel_filters=Gp(257,this.config.num_mel_bins,20,Math.floor(t/2),t,null,`kaldi`,!0),this.window=Zp(400,`povey`,{periodic:!1})}async _extract_fbank_features(e,t){return e=e.map(e=>e*32768),Xp(e,this.window,400,160,{fft_length:512,power:2,center:!1,preemphasis:.97,mel_filters:this.mel_filters,log_mel:`log`,mel_floor:1.192092955078125e-7,remove_dc_offset:!0,max_num_frames:t,transpose:!0})}async _call(e,{padding:t=!0,pad_to_multiple_of:n=2,do_normalize_per_mel_bins:r=!0,return_attention_mask:i=!0}={}){jp(e,`SeamlessM4TFeatureExtractor`);let a=await this._extract_fbank_features(e,this.config.max_length);if(r){let[e,t]=a.dims,n=a.data;for(let r=0;r0){let n=new Float32Array(t*(e+s));n.set(r),n.fill(this.config.padding_value,r.length);let c=e+s;a=new J(a.type,n,[c,t]),i&&(o=new J(`int64`,new BigInt64Array(c),[1,c]),o.data.fill(1n,0,e))}}let[s,c]=a.dims,l=this.config.stride;if(s%l!==0)throw Error(`The number of frames (${s}) must be a multiple of the stride (${l}).`);let u=a.view(1,Math.floor(s/l),c*l),d={input_features:u};if(i){let e=u.dims[1],t=new BigInt64Array(e);if(o){let e=o.data;for(let n=1,r=0;ne+t,0)/e.length,n=e.reduce((e,n)=>e+(n-t)**2,0)/e.length;return e.map(e=>(e-t)/Math.sqrt(n+1e-7))}async _call(e){jp(e,`Wav2Vec2FeatureExtractor`),e instanceof Float64Array&&(e=new Float32Array(e));let t=e;this.config.do_normalize&&(t=this._zero_mean_unit_var_norm(t));let n=[1,t.length];return{input_values:new J(`float32`,t,n),attention_mask:new J(`int64`,new BigInt64Array(t.length).fill(1n),n)}}},_m=class extends Ap{constructor(e){super(e);let t=this.config.sampling_rate;this.mel_filters=Gp(257,this.config.num_mel_bins,20,Math.floor(t/2),t,null,`kaldi`,!0),this.window=Zp(400,`hamming`,{periodic:!1}),this.min_num_frames=this.config.min_num_frames}async _extract_fbank_features(e){return e=e.map(e=>e*32768),Xp(e,this.window,400,160,{fft_length:512,power:2,center:!1,preemphasis:.97,mel_filters:this.mel_filters,log_mel:`log`,mel_floor:1.192092955078125e-7,remove_dc_offset:!0,transpose:!0,min_num_frames:this.min_num_frames})}async _call(e){jp(e,`WeSpeakerFeatureExtractor`);let t=(await this._extract_fbank_features(e)).unsqueeze_(0);if(this.config.fbank_centering_span===null){let e=t.mean(1).data,n=t.data,[r,i,a]=t.dims;for(let t=0;tr?(e.length>this.config.n_samples&&U.warn("Attempting to extract features for audio longer than 30 seconds. If using a pipeline to extract transcript from a long audio clip, remember to specify `chunk_length_s` and/or `stride_length_s`."),n=e.slice(0,r)):(n=new Float32Array(r),n.set(e)),{input_features:(await this._extract_fbank_features(n)).unsqueeze_(0)}}},bm=class{static async from_pretrained(e,t={}){let n=await Uu(e,wp,!0,t),r=n.feature_extractor_type,i=Mp[r];if(!i)throw Error(`Unknown feature_extractor_type: '${r}'. Please report this at ${Cp}.`);return new i(n)}},xm=class extends Op{static tokenizer_class=Sp;static feature_extractor_class=bm;async _call(e,t=null){let n=this.tokenizer(e),r=t?await this.feature_extractor(t):{};return{...n,...r}}},Sm=new Set([`ja`,`zh`]),Cm=class extends Op{static tokenizer_class=Sp;static feature_extractor_class=bm;static uses_processor_config=!0;get_decoder_prompt_ids(e=`en`){let t=[`▁`,`<|startofcontext|>`,`<|startoftranscript|>`,`<|emo:undefined|>`,`<|${e}|>`,`<|${e}|>`,`<|pnc|>`,`<|noitn|>`,`<|notimestamp|>`,`<|nodiarize|>`];return this.tokenizer.convert_tokens_to_ids(t)}static join_chunks(e,t=`en`){let n=e.filter(e=>e&&e.trim());if(n.length===0)return``;let r=Sm.has(t)?``:` `;return[n[0].trimEnd(),...n.slice(1).map(e=>e.trim())].join(r)}async _call(e){return await this.feature_extractor(e)}},wm={},Tm,Em,Dm;if(V.IS_WEB_ENV)Tm=(e,t)=>{if(!self.OffscreenCanvas)throw Error(`OffscreenCanvas not supported by this environment.`);return new self.OffscreenCanvas(e,t)},Dm=self.createImageBitmap,Em=self.ImageData;else if(wm)Dm=async e=>{let t=(await e.metadata()).channels,{data:n,info:r}=await e.rotate().raw().toBuffer({resolveWithObject:!0}),i=new Am(new Uint8ClampedArray(n),r.width,r.height,r.channels);return t!==void 0&&t!==r.channels&&i.convert(t),i};else throw Error(`Unable to load image processing library.`);var Om={0:`nearest`,1:`lanczos`,2:`bilinear`,3:`bicubic`,4:`box`,5:`hamming`},km=new Map([[`png`,`image/png`],[`jpg`,`image/jpeg`],[`jpeg`,`image/jpeg`],[`gif`,`image/gif`]]),Am=class e{constructor(e,t,n,r){this.data=e,this.width=t,this.height=n,this.channels=r}get size(){return[this.width,this.height]}static async read(t){if(t instanceof e)return t;if(typeof t==`string`||t instanceof URL)return await this.fromURL(t);if(t instanceof Blob)return await this.fromBlob(t);if(typeof HTMLCanvasElement<`u`&&t instanceof HTMLCanvasElement||typeof OffscreenCanvas<`u`&&t instanceof OffscreenCanvas)return this.fromCanvas(t);throw Error(`Unsupported input type: ${typeof t}`)}static fromCanvas(t){if(!V.IS_WEB_ENV)throw Error(`fromCanvas() is only supported in browser environments.`);let n=t.getContext(`2d`).getImageData(0,0,t.width,t.height).data;return new e(n,t.width,t.height,4)}static async fromURL(e){let t=await Pu(e);if(t.status!==200)throw Error(`Unable to read image from "${e}" (${t.status} ${t.statusText})`);let n=await t.blob();return this.fromBlob(n)}static async fromBlob(e){if(V.IS_WEB_ENV){let t=await Dm(e),n=Tm(t.width,t.height).getContext(`2d`);return n.drawImage(t,0,0),new this(n.getImageData(0,0,t.width,t.height).data,t.width,t.height,4)}else{let t=wm(await e.arrayBuffer());return await Dm(t)}}static fromTensor(t,n=`CHW`){if(t.dims.length!==3)throw Error(`Tensor should have 3 dimensions, but has ${t.dims.length} dimensions.`);if(n===`CHW`)t=t.transpose(1,2,0);else if(n!==`HWC`)throw Error(`Unsupported channel format: ${n}`);if(!(t.data instanceof Uint8ClampedArray||t.data instanceof Uint8Array))throw Error(`Unsupported tensor type: ${t.type}`);switch(t.dims[2]){case 1:case 2:case 3:case 4:return new e(t.data,t.dims[1],t.dims[0],t.dims[2]);default:throw Error(`Unsupported number of channels: ${t.dims[2]}`)}}grayscale(){if(this.channels===1)return this;let e=new Uint8ClampedArray(this.width*this.height*1);switch(this.channels){case 3:case 4:for(let t=0,n=0;t=0?c=r:u=-r,i>=0?l=i:d=-i,s.drawImage(o,c,l,t,n,u,d,t,n),new e(s.getImageData(0,0,t,n).data,t,n,4).convert(a)}else{let e=this.toSharp();if(r>=0&&i>=0)e=e.extract({left:Math.floor(r),top:Math.floor(i),width:t,height:n});else if(r<=0&&i<=0){let a=Math.floor(-i),o=Math.floor(-r);e=e.extend({top:a,left:o,right:t-this.width-o,bottom:n-this.height-a})}else{let a=[0,0],o=0;i<0?(a[0]=Math.floor(-i),a[1]=n-this.height-a[0]):o=Math.floor(i);let s=[0,0],c=0;r<0?(s[0]=Math.floor(-r),s[1]=t-this.width-s[0]):c=Math.floor(r),e=e.extend({top:a[0],bottom:a[1],left:s[0],right:s[1]}).extract({left:c,top:o,width:t,height:n})}return await Dm(e)}}async toBlob(e=`image/png`,t=1){if(!V.IS_WEB_ENV)throw Error(`toBlob() is only supported in browser environments.`);return await this.toCanvas().convertToBlob({type:e,quality:t})}toTensor(e=`CHW`){let t=new J(`uint8`,new Uint8Array(this.data),[this.height,this.width,this.channels]);if(e!==`HWC`)if(e===`CHW`)t=t.permute(2,0,1);else throw Error(`Unsupported channel format: ${e}`);return t}toCanvas(){if(!V.IS_WEB_ENV)throw Error(`toCanvas() is only supported in browser environments.`);let e=this.clone().rgba(),t=Tm(e.width,e.height),n=new Em(e.data,e.width,e.height);return t.getContext(`2d`).putImageData(n,0,0),t}split(){let{data:t,width:n,height:r,channels:i}=this,a=t.constructor,o=t.length/i,s=Array.from({length:i},()=>new a(o));for(let e=0;enew e(t,n,r,1))}_update(e,t,n,r=null){return this.data=e,this.width=t,this.height=n,r!==null&&(this.channels=r),this}clone(){return new e(this.data.slice(),this.width,this.height,this.channels)}convert(e){if(this.channels===e)return this;switch(e){case 1:this.grayscale();break;case 3:this.rgb();break;case 4:this.rgba();break;default:throw Error(`Conversion failed due to unsupported number of channels: ${this.channels}`)}return this}async save(e){if(V.IS_WEB_ENV){if(V.IS_WEBWORKER_ENV)throw Error(`Unable to save an image from a Web Worker.`);let t=e.split(`.`).pop().toLowerCase(),n=km.get(t)??`image/png`;return Pp(e,await this.toBlob(n))}else if(V.IS_FS_AVAILABLE)await this.toSharp().toFile(e);else throw Error(`Unable to save the image because filesystem is disabled in this environment.`)}toSharp(){if(V.IS_WEB_ENV)throw Error(`toSharp() is only supported in server-side environments.`);return wm(this.data,{raw:{width:this.width,height:this.height,channels:this.channels}})}};Am.read.bind(Am);function jm(e,t,n=0,r=null){let i=e/t,a=nd(i)*t;return r!==null&&a>r&&(a=Math.floor(i)*t),at&&i.push(e)}else{let e=Yu(n.data)[1];if(e===c-1||(a=Ku(n.data),a[e]e*o[(t+1)%2])),u.boxes.push(n),u.classes.push(t),u.scores.push(a[t])}}l.push(u)}return l}function Fm(e,t=null){let n=e.logits,r=n.dims[0];if(t!==null&&t.length!==r)throw Error(`Make sure that you pass in as many target sizes as the batch dimension of the logits`);let i=[];for(let e=0;el[n]&&(l[n]=t[n],u[n]=e)}let d=Array(a.dims[0]);for(let e=0;ee!==void 0);i.push({segmentation:c,labels:f})}return i}function Im(e,t,n,r){let i=[],a=[],o=[];for(let s=0;sn&&(i.push(l),a.push(d),o.push(u))}return[i,a,o]}function Lm(e,t,n,r=.5,i=.8){let a=[],o=0,s=0,c=t[n].data;for(let t=0;t=r&&++s;let l=o>0&&s>0;return l&&=o/s>i,[l,a]}function Rm(e,t,n,r,i,a=null,o=null){let[s,c]=o??e[0].dims,l=new J(`int32`,new Int32Array(s*c),[s,c]),u=[];if(o!==null)for(let t=0;tf[e]&&(d[e]=n,f[e]=i[e])}let p=0,m=l.data;for(let a=0;a200)throw Error(`absolute aspect ratio must be smaller than 200, got ${Math.max(e,t)/Math.min(e,t)}`);let o=Math.round(e/n)*n,s=Math.round(t/n)*n;if(a*o*s>i){let r=Math.sqrt(a*e*t/i);o=Math.max(n,Math.floor(e/r/n)*n),s=Math.max(n,Math.floor(t/r/n)*n)}else if(a*o*si?c=Math.floor(i*s/r):i>r&&(s=Math.floor(r*c/i)),await e.resize(c,s,{resample:n}))}async crop_margin(e,t=200){let n=e.clone().grayscale(),r=Ju(n.data)[0],i=Yu(n.data)[0]-r;if(i===0)return e;let a=t/255,o=n.width,s=n.height,c=0,l=0,u=n.data;for(let e=0;ethis.preprocess(e)));return{pixel_values:$d(n.map(e=>e.pixel_values),0),original_sizes:n.map(e=>e.original_size),reshaped_input_sizes:n.map(e=>e.reshaped_input_size)}}static async from_pretrained(e,t={}){let n=await Uu(e,Tp,!0,t);return new this(n)}},Hm={};so(Hm,{BeitFeatureExtractor:()=>Um,BitImageProcessor:()=>Wm,CHMv2ImageProcessor:()=>Km,CLIPFeatureExtractor:()=>Jm,CLIPImageProcessor:()=>qm,ChineseCLIPFeatureExtractor:()=>Gm,ConvNextFeatureExtractor:()=>Xm,ConvNextImageProcessor:()=>Ym,DINOv3ViTImageProcessor:()=>th,DPTFeatureExtractor:()=>ah,DPTImageProcessor:()=>ih,DeiTFeatureExtractor:()=>Qm,DeiTImageProcessor:()=>Zm,DetrFeatureExtractor:()=>eh,DetrImageProcessor:()=>$m,DonutFeatureExtractor:()=>rh,DonutImageProcessor:()=>nh,EfficientNetImageProcessor:()=>oh,GLPNFeatureExtractor:()=>uh,Gemma3ImageProcessor:()=>sh,Glm46VImageProcessor:()=>lh,GroundingDinoImageProcessor:()=>dh,Idefics3ImageProcessor:()=>fh,ImageFeatureExtractor:()=>X,ImageProcessor:()=>X,JinaCLIPImageProcessor:()=>mh,Lfm2VlImageProcessor:()=>bh,LlavaOnevisionImageProcessor:()=>xh,Mask2FormerImageProcessor:()=>wh,MaskFormerFeatureExtractor:()=>Ch,MaskFormerImageProcessor:()=>Sh,MobileNetV1FeatureExtractor:()=>Eh,MobileNetV1ImageProcessor:()=>Th,MobileNetV2FeatureExtractor:()=>Oh,MobileNetV2ImageProcessor:()=>Dh,MobileNetV3FeatureExtractor:()=>Ah,MobileNetV3ImageProcessor:()=>kh,MobileNetV4FeatureExtractor:()=>Mh,MobileNetV4ImageProcessor:()=>jh,MobileViTFeatureExtractor:()=>Ph,MobileViTImageProcessor:()=>Nh,NougatImageProcessor:()=>Fh,OwlViTFeatureExtractor:()=>Lh,OwlViTImageProcessor:()=>Ih,Owlv2ImageProcessor:()=>Rh,Phi3VImageProcessor:()=>Wh,PixtralImageProcessor:()=>Gh,PvtImageProcessor:()=>Kh,Qwen2VLImageProcessor:()=>ch,RTDetrImageProcessor:()=>qh,Sam2ImageProcessor:()=>Jh,Sam3ImageProcessor:()=>Jh,SamImageProcessor:()=>Jh,SapiensFeatureExtractor:()=>Xh,SapiensImageProcessor:()=>Yh,SegformerFeatureExtractor:()=>Qh,SegformerImageProcessor:()=>Zh,SiglipImageProcessor:()=>$h,SmolVLMImageProcessor:()=>fh,Swin2SRImageProcessor:()=>eg,VLMImageProcessor:()=>ph,ViTFeatureExtractor:()=>ng,ViTImageProcessor:()=>tg,VitMatteImageProcessor:()=>rg,VitPoseImageProcessor:()=>ig,YolosFeatureExtractor:()=>og,YolosImageProcessor:()=>ag});var Um=class extends X{},Wm=class extends X{},Gm=class extends X{},Km=class extends X{},qm=class extends X{},Jm=class extends qm{},Ym=class extends X{constructor(e){super(e),this.crop_pct=this.config.crop_pct??224/256}async resize(e){let t=this.size?.shortest_edge;if(t===void 0)throw Error(`Size dictionary must contain 'shortest_edge' key.`);if(t<384){let n=Math.floor(t/this.crop_pct),[r,i]=this.get_resize_output_image_size(e,{shortest_edge:n});e=await e.resize(r,i,{resample:this.resample}),e=await e.center_crop(t,t)}else e=await e.resize(t,t,{resample:this.resample});return e}},Xm=class extends Ym{},Zm=class extends X{},Qm=class extends Zm{},$m=class extends X{async _call(e){let t=await super._call(e),n=of([t.pixel_values.dims[0],64,64],1n);return{...t,pixel_mask:n}}post_process_object_detection(...e){return Pm(...e)}post_process_panoptic_segmentation(...e){return Bm(...e)}post_process_instance_segmentation(...e){return Vm(...e)}},eh=class extends $m{},th=class extends X{},nh=class extends X{pad_image(e,t,n,r={}){let[i,a,o]=t,s=this.image_mean;Array.isArray(this.image_mean)||(s=Array(o).fill(s));let c=this.image_std;Array.isArray(c)||(c=Array(o).fill(s));let l=s.map((e,t)=>-e/c[t]);return super.pad_image(e,t,n,{center:!0,constant_values:l,...r})}},rh=class extends nh{},ih=class extends X{},ah=class extends ih{},oh=class extends X{constructor(e){super(e),this.include_top=this.config.include_top??!0,this.include_top&&(this.image_std=this.image_std.map(e=>e*e))}},sh=class extends X{},ch=class extends X{constructor(e){super(e),this.min_pixels=e.min_pixels??e.size?.shortest_edge,this.max_pixels=e.max_pixels??e.size?.longest_edge,this.patch_size=e.patch_size,this.merge_size=e.merge_size}get_resize_output_image_size(e,t){let n=this.patch_size*this.merge_size;return zm(e.height,e.width,n,this.min_pixels,this.max_pixels)}async _call(e,...t){let{pixel_values:n,original_sizes:r,reshaped_input_sizes:i}=await super._call(e,...t),a=n,{temporal_patch_size:o,merge_size:s,patch_size:c}=this.config;a.dims[0]===1&&(a=Qd(Array.from({length:o},()=>a),0));let l=a.dims[0]/o,u=a.dims[1],d=Math.floor(a.dims[2]/c),f=Math.floor(a.dims[3]/c);return{pixel_values:a.view(l,o,u,Math.floor(d/s),s,c,Math.floor(f/s),s,c).permute(0,3,6,4,7,2,1,5,8).view(l*d*f,u*o*c*c),image_grid_thw:new J(`int64`,[l,d,f],[1,3]),original_sizes:r,reshaped_input_sizes:i}}},lh=class extends ch{get_resize_output_image_size(e,t){let n=this.patch_size*this.merge_size,r=this.config.temporal_patch_size??2;return zm(e.height,e.width,n,this.min_pixels,this.max_pixels,r)}},uh=class extends X{},dh=class extends X{async _call(e){let t=await super._call(e),n=t.pixel_values.dims,r=cf([n[0],n[2],n[3]]);return{...t,pixel_mask:r}}},fh=class extends X{constructor(e){super(e),this.do_image_splitting=e.do_image_splitting??!0,this.max_image_size=e.max_image_size}get_resize_for_vision_encoder(e,t){let[n,r]=e.dims.slice(-2),i=r/n;return r>=n?(r=Math.ceil(r/t)*t,n=Math.floor(r/i),n=Math.ceil(n/t)*t):(n=Math.ceil(n/t)*t,r=Math.floor(n*i),r=Math.ceil(r/t)*t),{height:n,width:r}}async _call(e,{do_image_splitting:t=null,return_row_col_info:n=!1}={}){let r;if(!Array.isArray(e))r=[[e]];else{if(e.length===0||!e[0])throw Error(`No images provided.`);r=Array.isArray(e[0])?e:[e]}let i=[],a=[],o=[],s=[],c=[];for(let e of r){let n=await Promise.all(e.map(e=>this.preprocess(e)));s.push(...n.map(e=>e.original_size)),c.push(...n.map(e=>e.reshaped_input_size)),n.forEach(e=>e.pixel_values.unsqueeze_(0));let{longest_edge:r}=this.max_image_size,l;if(t??this.do_image_splitting){let e=Array(n.length),t=Array(n.length);l=await Promise.all(n.map(async(n,i)=>{let a=this.get_resize_for_vision_encoder(n.pixel_values,r),o=await Ud(n.pixel_values,{size:[a.height,a.width]}),{frames:s,num_splits_h:c,num_splits_w:l}=await this.split_image(o,this.max_image_size);return e[i]=c,t[i]=l,Qd(s,0)})),a.push(e),o.push(t)}else{let e=[r,r];l=await Promise.all(n.map(t=>Ud(t.pixel_values,{size:e}))),a.push(Array(n.length).fill(0)),o.push(Array(n.length).fill(0))}i.push(Qd(l,0))}let l=i.length,[u,d,f,p]=i[0].dims,m,h;if(l===1)m=i[0].unsqueeze_(0),h=of([l,u,f,p],!0);else{let e=Math.max(...i.map(e=>e.dims.at(0)));h=of([l,e,f,p],!0);let t=h.data,n=e*f*p;for(let r=0;rn||o>r){s=Math.ceil(a/n),c=Math.ceil(o/r);let t=Math.ceil(a/s),l=Math.ceil(o/c);for(let n=0;ne*this.rescale_factor)}pad_image(e,t,n,r){return super.pad_image(e,t,n,{constant_values:this.constant_values,center:!0,...r})}},mh=class extends X{constructor(e){let{resize_mode:t,fill_color:n,interpolation:r,size:i,...a}=e,o=t===`squash`?{width:i,height:i}:t===`shortest`?{shortest_edge:i}:{longest_edge:i},s=r===`bicubic`?3:2;super({...a,size:o,resample:s,do_center_crop:!0,crop_size:i,do_normalize:!0})}};function hh(e,t){return Math.round(e/t)*t}function gh(e,t,n,r,i){let a=1/0,o=[1,1],s=n*r;for(let n of t){let t=Math.abs(e-n[0]/n[1]);t.5*i*i*n[0]*n[1]&&(o=n)}return o}function _h(e,t){let n=[],r=new Set;for(let i=e;i<=t;++i)for(let a=1;a<=i;++a)for(let o=1;o<=i;++o){let i=a*o;if(i>=e&&i<=t){let e=a<<16|o;r.has(e)||(r.add(e),n.push([a,o]))}}return n.sort((e,t)=>e[0]*e[1]-t[0]*t[1])}function vh(e,t){let[n,r,i,a]=e.dims,o=Math.floor(i/t),s=Math.floor(a/t),c=t*t*r,l=e.data,u=new Float32Array(n*o*s*c),d=i*a;for(let e=0;ethis.max_image_tokens*(this.encoder_patch_size*this.downsample_factor)**2*this.max_pixels_tolerance}_get_grid_layout(e,t){let n=_h(this.min_tiles,this.max_tiles),[r,i]=gh(t/e,n,t,e,this.tile_size);return{grid_width:r,grid_height:i,target_width:this.tile_size*r,target_height:this.tile_size*i}}async _call(e,{return_row_col_info:t=null}={}){let n;n=Array.isArray(e)?Array.isArray(e[0])?e:[e]:[[e]];let r=[],i=[],a=[],o=[],s=[],c=[];for(let e of n){let t=await Promise.all(e.map(e=>this.preprocess(e,{do_pad:!1})));for(let{pixel_values:e}of t){let[,t,n]=e.dims,l=e.unsqueeze_(0),u=this.encoder_patch_size*this.downsample_factor,d=u**2,[f,p]=zm(Math.max(u,t),Math.max(u,n),u,this.min_image_tokens*d,this.max_image_tokens*d).map(e=>Math.max(u,e)),m,h=1,g=1,_=this._is_image_too_large(t,n),v=this.do_image_splitting&&!(this.min_tiles===1&&this.max_tiles===1);if(_&&v){let{grid_width:e,grid_height:r,target_width:i,target_height:a}=this._get_grid_layout(t,n);h=r,g=e;let o=await Ud(l,{size:[a,i]});m=[];for(let t=0;t(e-this.image_mean[t])/this.image_std[t]);return super.pad_image(e,t,{width:s,height:o},{center:!0,constant_values:c,...r})}async _call(e,{num_crops:t=null}={}){if(this._num_crops=t??=this.config.num_crops,t<4||Uh(t)%1!=0)throw Error(`num_crops must be a square number >= 4`);Array.isArray(e)||(e=[e]);let n=e.length,r=await Promise.all(e.map(e=>this.preprocess(e))),i=r.map(e=>e.original_size),a=r.map(e=>e.reshaped_input_size),o=[];for(let{pixel_values:e}of r){e.unsqueeze_(0);let[n,r]=e.dims.slice(-2),i=await Ud(e,{size:[zh,zh],mode:`bicubic`});if(t>0){let a=[],s=Uh(t),c=Hh(r/s),l=Hh(n/s);for(let t=0;te.map(e=>zh*Vh(e/zh)));return{pixel_values:s,original_sizes:i,reshaped_input_sizes:a,image_sizes:new J(`int64`,c.flat(),[n,2]),num_img_tokens:c.map(([e,t])=>this.calc_num_image_tokens_from_image_size(t,e))}}},Gh=class extends X{get_resize_output_image_size(e,t){let{longest_edge:n}=t;if(n===void 0)throw Error(`size must contain 'longest_edge'`);let[r,i]=e.size,a=Math.max(r,i)/n,o=r,s=i;a>1&&(o=Math.floor(r/a),s=Math.floor(i/a));let{patch_size:c,spatial_merge_size:l}=this.config;if(!l)throw Error(`config must contain 'spatial_merge_size'`);let u=c*l,d=Math.floor((o-1)/u)+1,f=Math.floor((s-1)/u)+1;return[d*u,f*u]}},Kh=class extends X{},qh=class extends X{post_process_object_detection(...e){return Pm(...e)}},Jh=class extends X{reshape_input_points(e,t,n,r=!1){e=structuredClone(e);let i=Uo(e);if(i.length===3)r||(i=[1,...i]),e=[e];else if(i.length!==4)throw Error("The input_points must be a 4D tensor of shape `batch_size`, `point_batch_size`, `nb_points_per_image`, `2`.");for(let r=0;re!==t.dims[n]))throw Error(`The first ${n.length} dimensions of 'input_points' and 'input_labels' must be the same.`);return new J(`int64`,e.flat(1/0).map(BigInt),n)}async _call(e,{input_points:t=null,input_labels:n=null,input_boxes:r=null}={}){let i=await super._call(e);if(t&&(i.input_points=this.reshape_input_points(t,i.original_sizes,i.reshaped_input_sizes)),n){if(!i.input_points)throw Error("`input_points` must be provided if `input_labels` are provided.");i.input_labels=this.add_input_labels(n,i.input_points)}return r&&(i.input_boxes=this.reshape_input_points(r,i.original_sizes,i.reshaped_input_sizes,!0)),i}async post_process_masks(e,t,n,{mask_threshold:r=0,binarize:i=!0,pad_size:a=null}={}){let o=[];a=a??this.pad_size??this.size;let s=[a.height,a.width];for(let a=0;ar&&(t[n]=1);u=new J(`bool`,t,u.dims)}o.push(u)}return o}generate_crop_boxes(e,t,{crop_n_layers:n=0,overlap_ratio:r=512/1500,points_per_crop:i=32,crop_n_points_downscale_factor:a=1}={}){}},Yh=class extends X{post_process_semantic_segmentation(...e){return Fm(...e)}},Xh=class extends Yh{},Zh=class extends X{post_process_semantic_segmentation(...e){return Fm(...e)}},Qh=class extends Zh{},$h=class extends X{},eg=class extends X{pad_image(e,t,n,r={}){let[i,a,o]=t;return super.pad_image(e,t,{width:a+(n-a%n)%n,height:i+(n-i%n)%n},{mode:`symmetric`,center:!1,constant_values:-1,...r})}},tg=class extends X{},ng=class extends tg{},rg=class extends X{async _call(e,t){Array.isArray(e)||(e=[e]),Array.isArray(t)||(t=[t]);let n=await Promise.all(e.map(e=>this.preprocess(e))),r=await Promise.all(t.map(e=>this.preprocess(e,{do_normalize:!1,do_convert_rgb:!1,do_convert_grayscale:!0})));return{pixel_values:$d(n.map((e,t)=>Qd([e.pixel_values,r[t].pixel_values],0)),0),original_sizes:n.map(e=>e.original_size),reshaped_input_sizes:n.map(e=>e.reshaped_input_size)}}},ig=class extends X{post_process_pose_estimation(e,t,{threshold:n=null}={}){let r=e.tolist(),[i,a,o,s]=e.dims,c=[];for(let e=0;e/gm,bboxes:/([^<]+)?/gm},this.size_per_bin=1e3}construct_prompts(e){typeof e==`string`&&(e=[e]);let t=[];for(let n of e)if(this.task_prompts_without_inputs.has(n))t.push(this.task_prompts_without_inputs.get(n));else{for(let[e,r]of this.task_prompts_with_input)if(n.includes(e)){t.push(r.replaceAll(`{input}`,n).replaceAll(e,``));break}t.length!==e.length&&t.push(n)}return t}post_process_generation(e,t,n){let r=this.tasks_answer_post_processing_type.get(t)??`pure_text`;e=e.replaceAll(``,``).replaceAll(``,``);let i;switch(r){case`pure_text`:i=e;break;case`description_with_bboxes`:case`bboxes`:case`phrase_grounding`:case`ocr`:let a=r===`ocr`?`quad_boxes`:`bboxes`,o=e.matchAll(this.regexes[a]),s=[],c=[];for(let[e,t,...r]of o)s.push(t?t.trim():s.at(-1)??``),c.push(r.map((e,t)=>(Number(e)+.5)/this.size_per_bin*n[t%2]));i={labels:s,[a]:c};break;default:throw Error(`Task "${t}" (of type "${r}") not yet implemented.`)}return{[t]:i}}async _call(e,t=null,n={}){if(!e&&!t)throw Error(`Either text or images must be provided`);let r=await this.image_processor(e,n),i=t?this.tokenizer(this.construct_prompts(t),n):{};return{...r,...i}}},lg=class extends Op{static tokenizer_class=Sp;static image_processor_class=sg;static uses_processor_config=!0;static uses_chat_template_file=!0;constructor(e,t,n){super(e,t,n),this.image_seq_length=this.config.image_seq_length;let{boi_token:r,image_token:i,eoi_token:a}=this.tokenizer.config;this.boi_token=r,this.image_token=i,this.eoi_token=a,this.full_image_sequence=` + +${r}${i.repeat(this.image_seq_length)}${a} + +`}async _call(e,t=null,n={}){typeof e==`string`&&(e=[e]);let r;return t&&(r=await this.image_processor(t,n),e=e.map(e=>e.replaceAll(this.boi_token,this.full_image_sequence))),{...this.tokenizer(e,n),...r}}},ug=class extends Op{static image_processor_class=sg;static feature_extractor_class=bm;static tokenizer_class=Sp;static uses_processor_config=!0;static uses_chat_template_file=!0;constructor(e,t,n){super(e,t,n),this.audio_seq_length=this.config.audio_seq_length,this.image_seq_length=this.config.image_seq_length;let{audio_token_id:r,boa_token:i,audio_token:a,eoa_token:o,image_token_id:s,boi_token:c,image_token:l,eoi_token:u}=this.tokenizer.config;this.audio_token_id=r,this.boa_token=i,this.audio_token=a,this.full_audio_sequence=` + +${i}${a.repeat(this.audio_seq_length)}${o} + +`,this.image_token_id=s,this.boi_token=c,this.image_token=l,this.full_image_sequence=` + +${c}${l.repeat(this.image_seq_length)}${u} + +`}async _call(e,t=null,n=null,r={}){typeof e==`string`&&(e=[e]);let i;n&&(i=await this.feature_extractor(n,r),e=e.map(e=>e.replaceAll(this.audio_token,this.full_audio_sequence)));let a;return t&&(a=await this.image_processor(t,r),e=e.map(e=>e.replaceAll(this.image_token,this.full_image_sequence))),{...this.tokenizer(e,r),...a,...i}}},dg=class extends Op{static image_processor_class=sg;static tokenizer_class=Sp;static image_token=`<|image_pad|>`;async _call(e,t=null,...n){Array.isArray(e)||(e=[e]);let r,i;if(t&&(r=await this.image_processor(t),i=r.image_grid_thw),i){let t=this.image_processor.config.merge_size**2,n=0,r=this.constructor.image_token,a=i.tolist();e=e.map(e=>{for(;e.includes(r);){let i=Number(a[n++].reduce((e,t)=>e*t,1n));e=e.replace(r,`<|placeholder|>`.repeat(Math.floor(i/t)))}return e.replaceAll(`<|placeholder|>`,r)})}return{...this.tokenizer(e),...r}}},fg=class extends dg{static image_token=`<|image|>`},pg=class extends Op{static tokenizer_class=Sp;static feature_extractor_class=bm;static uses_processor_config=!0;_get_num_audio_features(e){let{hop_length:t}=this.feature_extractor.config.melspec_kwargs,{projector_window_size:n,projector_downsample_rate:r}=this.feature_extractor.config,i=Math.floor(n/r),a=Math.floor(e/t)+1,o=Math.floor(a/2);return Math.ceil(o/n)*i}async _call(e,t=null,n={}){if(Array.isArray(e))throw Error(`Batched inputs are not supported yet.`);let r={};if(t){let{input_features:n}=await this.feature_extractor(t);r.input_features=n;let i=this._get_num_audio_features(t.length);r.input_features_mask=new J(`bool`,new Uint8Array(i).fill(1),[1,i]);let a=this.config.audio_token??`<|audio|>`;if(!e.includes(a))throw Error(`The input text does not contain the audio token ${a}.`);e=e.replaceAll(a,a.repeat(i))}return{...this.tokenizer(e,{add_special_tokens:!1,...n}),...r}}};function mg(e,t){let n=e.dims.at(-1)-1,r=e.tolist();r.fill(!1,0,1),r.fill(!1,n);let i=t.tolist();return r.map((e,t)=>e?t:null).filter(e=>e!==null).map(e=>i[e])}var hg=class extends Op{static tokenizer_class=Sp;static image_processor_class=sg;async _call(e,t,n={}){let r=e?await this.image_processor(e,n):{};return{...t?this.tokenizer(t,n):{},...r}}post_process_grounded_object_detection(e,t,{box_threshold:n=.25,text_threshold:r=.25,target_sizes:i=null}={}){let{logits:a,pred_boxes:o}=e,s=a.dims[0];if(i!==null&&i.length!==s)throw Error(`Make sure that you pass in as many target sizes as the batch dimension of the logits`);let c=a.dims.at(1),l=a.sigmoid(),u=l.max(-1).tolist(),d=o.tolist().map(e=>e.map(e=>Nm(e))),f=[];for(let e=0;ee.map((e,t)=>e*a[(t+1)%2])));let o=u[e],s=[],p=[],m=[];for(let i=0;i`+i.repeat(e);o+=` +`}return o+=` +${r}${a}`+i.repeat(e)+`${r}`,o}function _g(e,t,n,r){return`${t}${r}`+n.repeat(e)+`${t}`}function vg(e,t,n,r,i,a){return e===0&&t===0?_g(n,r,i,a):gg(n,e,t,r,i,a)}var yg=class extends Op{static image_processor_class=sg;static tokenizer_class=Sp;static uses_processor_config=!0;fake_image_token=``;image_token=``;global_img_token=``;async _call(e,t=null,n={}){n.return_row_col_info??=!0;let r;t&&(r=await this.image_processor(t,n)),Array.isArray(e)||(e=[e]);let i=r.rows??[Array(e.length).fill(0)],a=r.cols??[Array(e.length).fill(0)],o=this.config.image_seq_len,s=[],c=[];for(let t=0;tvg(e,l[t],o,this.fake_image_token,this.image_token,this.global_img_token)),d=n.split(this.image_token);if(d.length===0)throw Error(`The image token should be present in the text.`);let f=d[0];for(let e=0;ee.images).flatMap(e=>e.images).map(e=>Am.read(e)));let r=this.tokenizer,i=r.apply_chat_template(e,{tokenize:!1,add_generation_prompt:!0,chat_template:n}),a=e=>r.encode(e,{add_special_tokens:!1}),o=i.split(this.image_tag),s=o.length-1;if(t.length!==s)throw Error(`Number of images provided (${t.length}) does not match number of "${this.image_tag}" image tags (${s})`);let[c,l,u]=r.convert_tokens_to_ids([this.image_tag,this.image_start_tag,this.image_end_tag]),d=a(o[0]),f=Array(d.length).fill(!1);for(let e=1;e0){let e=await this.image_processor(t);return e.pixel_values.unsqueeze_(0),{...m,...e}}return m}},xg=class extends Op{static tokenizer_class=Sp;static image_processor_class=sg;async _call(e=null,t=null,n={}){if(!e&&!t)throw Error(`Either text or images must be provided`);let r=e?this.tokenizer(e,n):{},i=t?await this.image_processor(t,n):{};return{...r,...i}}},Sg=class extends Op{static tokenizer_class=Sp;static image_processor_class=sg;async _call(e,t=null,n={}){let{image_rows:r,image_cols:i,image_sizes:a,...o}=await this.image_processor(e,{...n,return_row_col_info:!0});if(t){let e=this.config.image_token??``,{tile_size:n=512,downsample_factor:o=2,encoder_patch_size:s=16,use_thumbnail:c=!0}=this.image_processor.config,l=e=>Math.ceil(Math.floor(e/s)/o),u=l(n)**2,d=this.config.image_start_token??`<|image_start|>`,f=this.config.image_end_token??`<|image_end|>`,p=this.config.image_thumbnail??`<|img_thumbnail|>`;Array.isArray(t)||(t=[t]);let m=0;t=t.map(t=>{let n=t.split(e);return n[0]+n.slice(1).map(t=>{let n=m++,[o,s]=a[n],h=r[n],g=i[n],_=l(o)*l(s),v=d;if(h>1||g>1){let t=e.repeat(u);for(let e=0;e`+t;c&&(v+=p+e.repeat(_))}else v+=e.repeat(_);return v+f+t}).join(``)})}return{...o,...t?this.tokenizer(t,n):{}}}},Cg=class extends Op{static tokenizer_class=Sp;static image_processor_class=sg;static uses_processor_config=!0;async _call(e,t=null,n={}){let r=await this.image_processor(e,n);if(t){let[e,n]=r.pixel_values.dims.slice(-2),{image_token:i,patch_size:a,num_additional_image_tokens:o}=this.config,s=Math.floor(e/a)*Math.floor(n/a)+o;t=structuredClone(t),Array.isArray(t)||(t=[t]);for(let e=0;e0?i.reduce((e,t)=>e*t,1):0;c.push(n),s.push(a)}return[i(c),s]}char_decode(e){return this.char_tokenizer.batch_decode(e).map(e=>e.replaceAll(` `,``))}bpe_decode(e){return this.bpe_tokenizer.batch_decode(e)}wp_decode(e){return this.wp_tokenizer.batch_decode(e).map(e=>e.replaceAll(` `,``))}batch_decode([e,t,n]){let[r,i]=this._decode_helper(e,`char`),[a,o]=this._decode_helper(t,`bpe`),[s,c]=this._decode_helper(n,`wp`),l=[],u=[];for(let e=0;e`;function kg(e,t,n,r,i){return`${r.repeat(n*i)}${t}${e} +`}var Ag=class extends Op{static tokenizer_class=Sp;static image_processor_class=sg;static uses_processor_config=!1;async _call(e,t=null,n={}){t||=(U.warn(`You are using PaliGemma without a text prefix. It will perform as a picture-captioning model.`),``),Array.isArray(e)||(e=[e]),Array.isArray(t)||(t=[t]);let r=this.tokenizer.bos_token,i=this.image_processor.config.image_seq_length,a;t.some(e=>e.includes(Og))?a=t.map(e=>{let t=e.replaceAll(Og,Og.repeat(i)),n=t.lastIndexOf(Og),a=n===-1?0:n+Og.length;return t.slice(0,a)+r+t.slice(a)+` +`}):(U.warn("You are passing both `text` and `images` to `PaliGemmaProcessor`. The processor expects special image tokens in the text, as many tokens as there are images per each text. It is recommended to add `` tokens in the very beginning of your text. For this call, we will infer how many images each text has and add special tokens."),a=t.map(t=>kg(t,r,i,Og,e.length)));let o=this.tokenizer(a,n);return{...await this.image_processor(e,n),...o}}},jg=`<|image|>`,Mg=/<\|image_\d+\|>/g,Ng=class extends Op{static image_processor_class=sg;static tokenizer_class=Sp;async _call(e,t=null,{padding:n=!0,truncation:r=!0,num_crops:i=null}={}){Array.isArray(e)||(e=[e]);let a,o;if(t){o=await this.image_processor(t,{num_crops:i});let{num_img_tokens:s}=o,c=e.map((e,t)=>e.split(Mg).join(jg.repeat(s[t])));a=this.tokenizer(c,{padding:n,truncation:r});let l=this.tokenizer._tokenizer.token_to_id(jg);a.input_ids.map_(e=>e==l?-e:e)}else a=this.tokenizer(e);return{...a,...o}}},Pg=class extends Op{static tokenizer_class=Sp;static image_processor_class=sg;static uses_processor_config=!0;async _call(e,t=null,n={}){let r=await this.image_processor(e,n);if(t){let[e,n]=r.pixel_values.dims.slice(-2),{image_token:i,image_break_token:a,image_end_token:o,patch_size:s,spatial_merge_size:c}=this.config,l=s*c,u=Math.floor(e/l),d=Math.floor(n/l);t=structuredClone(t),Array.isArray(t)||(t=[t]);for(let e=0;eKg(e,o)),c=s.map(e=>e.length),l=s.flat(),u=(await Promise.all(l.map(e=>this.feature_extractor(e,n)))).map(e=>e.input_features);r.audio_values=u.length>1?Qd(u,0):u[0];let d=i[0];for(let e=0;e0){if(l>mu)throw Error(`The number of external data chunks (${l}) exceeds the maximum allowed value (${mu}).`);let t=d_(o,l);for(let n of t){let t=`${r.subfolder??``}/${n}`;c.push(new Promise(async(i,a)=>{let o=await Vu(e,t,!0,r,s);i(o instanceof Uint8Array?{path:n,data:o}:n)}))}}else a.externalData!==void 0&&(c=a.externalData.map(async t=>{if(typeof t.data==`string`){let n=await Vu(e,t.data,!0,r);return{...t,data:n}}return t}));return Promise.all(c)}async function m_(e,t,n,r=!1,i=void 0){let a=n.config?.[`transformers.js_config`]??{},o=Md(n.device??a.device,t,{warn:e=>U.info(e)}),s=vd(o),c=a.device_config??{};c.hasOwnProperty(o)&&(a={...a,...c[o]});let l=Rd(n.dtype??a.dtype,t,o,{configDtype:a.dtype,warn:e=>U.info(e)});if(!Ld.hasOwnProperty(l))throw Error(`Invalid dtype: ${l}. 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Make sure to either pass {inputs} or {input_name}=...")}else r[i]=e;return{inputs_tensor:r[i],model_inputs:r,model_input_name:i}}async _prepare_encoder_decoder_kwargs_for_generation({inputs_tensor:e,model_inputs:t,model_input_name:n,generation_config:r}){if(this.sessions.model.inputNames.includes(`inputs_embeds`)&&!t.inputs_embeds&&`_prepare_inputs_embeds`in this){let{input_ids:e,pixel_values:n,attention_mask:r,...i}=t,a=await this._prepare_inputs_embeds(t);t={...i,...qo(a,[`inputs_embeds`,`attention_mask`])}}let{last_hidden_state:i}=await fv(this,t);if(r.guidance_scale!==null&&r.guidance_scale>1)i=Qd([i,sf(i,0)],0),`attention_mask`in t&&(t.attention_mask=Qd([t.attention_mask,df(t.attention_mask)],0));else if(t.decoder_input_ids){let e=iv(t.decoder_input_ids).dims[0];if(e!==i.dims[0]){if(i.dims[0]!==1)throw Error(`The encoder outputs have a different batch size (${i.dims[0]}) than the decoder inputs (${e}).`);i=Qd(Array.from({length:e},()=>i),0)}}return t.encoder_outputs=i,t}_prepare_decoder_input_ids_for_generation({batch_size:e,model_input_name:t,model_kwargs:n,decoder_start_token_id:r,bos_token_id:i,generation_config:a}){let{decoder_input_ids:o,...s}=n;if(!(o instanceof J)){if(o)Array.isArray(o[0])||(o=Array.from({length:e},()=>o));else if(r??=i,this.config.model_type===`musicgen`)o=Array.from({length:e*this.config.decoder.num_codebooks},()=>[r]);else if(Array.isArray(r)){if(r.length!==e)throw Error(`\`decoder_start_token_id\` expcted to have length ${e} but got ${r.length}`);o=r}else o=Array.from({length:e},()=>[r]);o=iv(o)}return s.decoder_attention_mask=lf(o),{input_ids:o,model_inputs:s}}async generate({inputs:e=null,generation_config:t=null,logits_processor:n=null,stopping_criteria:r=null,streamer:i=null,...a}){this._validate_model_class(),t=this._prepare_generation_config(t,a);let{inputs_tensor:o,model_inputs:s,model_input_name:c}=this._prepare_model_inputs({inputs:e,model_kwargs:a}),l=this.config.is_encoder_decoder;l&&(`encoder_outputs`in s||(s=await this._prepare_encoder_decoder_kwargs_for_generation({inputs_tensor:o,model_inputs:s,model_input_name:c,generation_config:t})));let u;l?{input_ids:u,model_inputs:s}=this._prepare_decoder_input_ids_for_generation({batch_size:s[c].dims.at(0),model_input_name:c,model_kwargs:s,decoder_start_token_id:t.decoder_start_token_id,bos_token_id:t.bos_token_id,generation_config:t}):u=s[c];let d=u.dims.at(-1);t.max_new_tokens!==null&&(t.max_length=d+t.max_new_tokens);let f=this._get_logits_processor(t,d,n),p=this._get_stopping_criteria(t,r),m=s[c].dims.at(0),h=G_.getSampler(t),g=Array(m).fill(0),_=u.tolist();i&&i.put(_);let v,y={},b={};for(;;){if(s=this.prepare_inputs_for_generation(_,s,t),v=await this.forward(s),t.return_dict_in_generate)if(t.output_attentions){let e=this.getAttentions(v);for(let t in e)t in y||(y[t]=[]),y[t].push(e[t])}else this._return_dict_in_generate_keys&&Object.assign(b,qo(v,this._return_dict_in_generate_keys));let e=f(_,v.logits.slice(null,-1,null).to(`float32`)),n=[];for(let t=0;te))break;s=this._update_model_kwargs_for_generation({generated_input_ids:n,outputs:v,model_inputs:s,is_encoder_decoder:l})}i&&i.end();let x=this.getPastKeyValues(v,s.past_key_values,!0),S=new J(`int64`,_.flat(),[_.length,_[0].length]);if(t.return_dict_in_generate)return{sequences:S,past_key_values:x,...y,...b};for(let e of Object.values(v))e.location===`gpu-buffer`&&e.dispose();return S}getPastKeyValues(e,t,n=!1){let r=Object.create(null);for(let i in e)if(i.startsWith(`present`)){let a=i.replace(`present_ssm`,`past_ssm`).replace(`present_conv`,`past_conv`).replace(`present_recurrent`,`past_recurrent`).replace(`present`,`past_key_values`),o=i.includes(`encoder`);if(o&&t?r[a]=t[a]:r[a]=e[i],t&&(!o||n)){let e=t[a];e.location===`gpu-buffer`&&e.dispose()}}return new Y_(r)}getAttentions(e){let t={};for(let n of[`cross_attentions`,`encoder_attentions`,`decoder_attentions`])for(let r in e)r.startsWith(n)&&(n in t||(t[n]=[]),t[n].push(e[r]));return t}addPastKeyValues(e,t){if(t)Object.assign(e,t);else{let t=this.sessions.decoder_model_merged??this.sessions.model,n=(e[this.main_input_name]??e.attention_mask)?.dims?.[0]??1,r=t?.config?.kv_cache_dtype??`float32`,i=r===`float16`?zd.float16:zd.float32,a=o_(this.config,{batch_size:n});for(let t in a)e[t]=new J(r,new i(a[t].reduce((e,t)=>e*t,1)),a[t])}}async _encode_input(e,t,n){if(!Object.hasOwn(this.sessions,e))throw Error(`Model does not have a ${e} session.`);let r=this.sessions[e];return(await __(r,qo(t,r.inputNames)))[n]}async encode_image(e){return this._encode_input(`vision_encoder`,e,`image_features`)}async encode_text(e){return this._encode_input(`embed_tokens`,e,`inputs_embeds`)}async encode_audio(e){return this._encode_input(`audio_encoder`,e,`audio_features`)}};async function dv(e,t){let{encoder_outputs:n,input_ids:r,decoder_input_ids:i,decoder_attention_mask:a,...o}=t;return n||=(await fv(e,qo(t,e.sessions.model.inputNames))).last_hidden_state,o.input_ids=i,o.encoder_hidden_states=n,e.sessions.decoder_model_merged.inputNames.includes(`encoder_attention_mask`)&&(o.encoder_attention_mask=t.attention_mask),a&&!o.attention_mask&&(o.attention_mask=a),await mv(e,o,!0)}async function fv(e,t){let n=e.sessions.model,r=qo(t,n.inputNames);if(n.inputNames.includes(`inputs_embeds`)&&!r.inputs_embeds){if(!t.input_ids)throw Error("Both `input_ids` and `inputs_embeds` are missing in the model inputs.");r.inputs_embeds=await e.encode_text({input_ids:t.input_ids})}if(n.inputNames.includes(`token_type_ids`)&&!r.token_type_ids){if(!r.input_ids)throw Error("Both `input_ids` and `token_type_ids` are missing in the model inputs.");r.token_type_ids=df(r.input_ids)}if(n.inputNames.includes(`pixel_mask`)&&!r.pixel_mask){if(!r.pixel_values)throw Error("Both `pixel_values` and `pixel_mask` are missing in the model inputs.");let e=r.pixel_values.dims;r.pixel_mask=cf([e[0],e[2],e[3]])}return await __(n,r)}async function pv(e,t){let n=await e.encode(t);return await e.decode(n)}async function mv(e,t,n=!1){let r=e.sessions[n?`decoder_model_merged`:`model`],{past_key_values:i,...a}=t;return r.inputNames.includes(`use_cache_branch`)&&(a.use_cache_branch=av(!!i)),r.inputNames.includes(`position_ids`)&&a.attention_mask&&!a.position_ids&&(a.position_ids=yv(a,i,[`paligemma`,`gemma3_text`,`gemma3`].includes(e.config.model_type)?1:0)),r.inputNames.includes(`num_logits_to_keep`)&&!a.num_logits_to_keep&&(a.num_logits_to_keep=new J(`int64`,[0n],[])),e.addPastKeyValues(a,i),await __(r,qo(a,r.inputNames))}async function hv(e,{encode_function:t,merge_function:n,modality_input_names:r,modality_output_name:i,input_ids:a=null,attention_mask:o=null,position_ids:s=null,inputs_embeds:c=null,past_key_values:l=null,generation_config:u=null,logits_processor:d=null,...f}){if(!c){c=await e.encode_text({input_ids:a,...f});let s=qo(f,r);if(Object.keys(s).length>0){if(a.dims[1]!==1){let e=await t({...s,...f});({inputs_embeds:c,attention_mask:o}=n({[i]:e,inputs_embeds:c,input_ids:a,attention_mask:o}))}else if(l&&a.dims[1]===1){let e=a.dims[1],t=l.get_seq_length();o=Qd([cf([a.dims[0],t]),o.slice(null,[o.dims[1]-e,o.dims[1]])],1)}}}if(!s&&[`qwen2_vl`,`qwen2_vl_text`,`qwen2_5_vl`,`qwen2_5_vl_text`,`qwen3_vl`,`qwen3_vl_text`,`qwen3_vl_moe`,`qwen3_vl_moe_text`,`qwen3_5`,`qwen3_5_text`,`qwen3_5_moe`,`qwen3_5_moe_text`,`glm_ocr`,`glm_ocr_text`].includes(e.config.model_type)){let{image_grid_thw:t,video_grid_thw:n}=f;[s]=e.get_rope_index(a,t,n,o)}return await mv(e,{inputs_embeds:c,past_key_values:l,attention_mask:o,position_ids:s,generation_config:u,logits_processor:d},!0)}async function gv(e,t){return await hv(e,{...t,modality_input_names:[`audio_values`,`input_features`],modality_output_name:`audio_features`,encode_function:e.encode_audio.bind(e),merge_function:e._merge_input_ids_with_audio_features.bind(e)})}async function _v(e,t){return await hv(e,{...t,modality_input_names:[`pixel_values`],modality_output_name:`image_features`,encode_function:e.encode_image.bind(e),merge_function:e._merge_input_ids_with_image_features.bind(e)})}function vv(e,t=0){let[n,r]=e.dims,i=e.data,a=new BigInt64Array(i.length);for(let e=0;ee.dims[1]||i[e.at(-1)])),{...n,decoder_input_ids:iv(t)}}function Sv(e,...t){return e.config.is_encoder_decoder?xv(e,...t):bv(e,...t)}function Cv({modality_token_id:e,inputs_embeds:t,modality_features:n,input_ids:r,attention_mask:i}){let a=r.tolist().map(t=>t.reduce((t,n,r)=>(n==e&&t.push(r),t),[])),o=a.reduce((e,t)=>e+t.length,0),s=n.dims[0];if(o!==s)throw Error(`Number of tokens and features do not match: tokens: ${o}, features ${s}`);let c=0;for(let e=0;e[r,await Uu(e,t[r],!1,n)])))}var 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${forward_params=[`input_ids`,`inputs_embeds`,`attention_mask`,`position_ids`,`audio_values`,`exaggeration`,`audio_features`,`audio_tokens`,`speaker_embeddings`,`speaker_features`,`past_key_values`];main_input_name=`input_ids`;_return_dict_in_generate_keys=[`audio_tokens`,`speaker_embeddings`,`speaker_features`]},Sy=class extends xy{async encode_speech(e){return __(this.sessions.speech_encoder,{audio_values:e})}async forward({input_ids:e=null,attention_mask:t=null,audio_values:n=null,exaggeration:r=null,position_ids:i=null,inputs_embeds:a=null,past_key_values:o=null,generation_config:s=null,logits_processor:c=null,audio_features:l=null,audio_tokens:u=null,speaker_embeddings:d=null,speaker_features:f=null,...p}){let m;if(!a){let s=this.sessions.embed_tokens.inputNames,c={input_ids:e};if(s.includes(`exaggeration`)){if(!(r instanceof J)){let t=e.dims[0];if(r==null)r=of([t],.5);else if(typeof r==`number`)r=of([t],r);else if(Array.isArray(r))r=new J(`float32`,r,[t]);else throw 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forward({input_ids:e=null,attention_mask:t=null,pixel_values:n=null,input_features:r=null,input_features_mask:i=null,position_ids:a=null,inputs_embeds:o=null,per_layer_inputs:s=null,past_key_values:c=null,generation_config:l=null,logits_processor:u=null,...d}){if((!o||!s)&&({inputs_embeds:o,per_layer_inputs:s}=await __(this.sessions.embed_tokens,{input_ids:e}),e.dims[1]!==1)){if(n){let{image_features:r}=await __(this.sessions.vision_encoder,{pixel_values:n});({inputs_embeds:o,attention_mask:t}=this._merge_input_ids_with_image_features({image_features:r,inputs_embeds:o,input_ids:e,attention_mask:t}))}if(r){let{audio_features:n}=await __(this.sessions.audio_encoder,{input_features:r,input_features_mask:i});({inputs_embeds:o,attention_mask:t}=this._merge_input_ids_with_audio_features({audio_features:n,inputs_embeds:o,input_ids:e,attention_mask:t}))}}return await mv(this,{inputs_embeds:o,per_layer_inputs:s,past_key_values:c,attention_mask:t,position_ids:a,generation_config:l,logits_processor:u},!0)}_merge_input_ids_with_image_features(e){let t=e.image_features.dims.at(-1),n=e.image_features.view(-1,t);return wv({image_token_id:this.config.image_token_id,...e,image_features:n})}_merge_input_ids_with_audio_features(e){let t=e.audio_features.dims.at(-1),n=e.audio_features.view(-1,t);return Tv({audio_token_id:this.config.audio_token_id,...e,audio_features:n})}},vS=class extends _S{},yS=class extends ${},bS=class extends yS{},xS=class extends yS{},SS=class extends ${},CS=class extends SS{},wS=class extends SS{},TS=class extends ${forward_params=[`input_ids`,`attention_mask`,`position_ids`,`past_key_values`,`pixel_values`,`image_grid_thw`]},ES=class extends TS{image_grid_thw_name=`grid_thw`;_get_text_only_rope_index(e,t){if(t){let{data:e,dims:n}=vv(t),r=BigInt64Array.from({length:3*e.length},(t,n)=>e[n%e.length]),i=Array.from({length:n[0]},(t,r)=>Yu(e.subarray(n[1]*r,n[1]*(r+1)))[0]+1n+BigInt(n[1]));return[new J(`int64`,r,[3,...n]),new J(`int64`,i,[i.length,1])]}else{let[t,n]=e.dims;return[new J(`int64`,BigInt64Array.from({length:3*t*n},(e,r)=>BigInt(Math.floor(r%n/t))),[3,...e.dims]),uf([t,1])]}}_reorder_and_write_positions(e,t,n,r){let i=e.reduce((e,t)=>e+t.length,0),a=Array(i),o=0;for(let t=0;t<3;++t)for(let n of e){let e=n.length/3;for(let r=t*e;r<(t+1)*e;++r)a[o++]=n[r]}let s=0;for(let e=0;e(t==s&&e.push(n),e),[]).map(e=>c[e+1]),u=l.filter(e=>e==a).length,d=l.filter(e=>e==o).length,f=[],p=0,m=u,h=d;for(let e=0;et>p&&e==a),s=c.findIndex((e,t)=>t>p&&e==o),l=m>0&&e!==-1?e:c.length+1,u=h>0&&s!==-1?s:c.length+1,d,g,_,v;l0?Yu(f.at(-1))[0]+1:0;f.push(Array.from({length:3*S},(e,t)=>C+t%S));let 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extends YS{},ZS=class extends YS{},QS=class extends ${},$S=class extends QS{},eC=class extends QS{},tC=class extends ${},nC=class extends tC{},rC=class extends tC{},iC=class extends ${forward_params=[`input_ids`,`attention_mask`,`position_ids`,`audio_values`,`past_key_values`]},aC=class extends iC{_merge_input_ids_with_audio_features(e){let t=e.audio_features.dims.at(-1),n=e.audio_features.view(-1,t);return Tv({audio_token_id:this.config.ignore_index??this.config.audio_token_id??this.config.audio_token_index,...e,audio_features:n})}},oC=class extends aC{forward_params=[`input_ids`,`attention_mask`,`input_features`,`past_key_values`]},sC=class extends ${},cC=class extends sC{},lC=class extends ${},uC=class extends lC{},dC=class extends ${},fC=class extends dC{},pC=class extends dC{},mC=class extends ${},hC=class extends mC{},gC=class extends mC{async _call(e){return new Z(await super._call(e))}},_C=class extends ${},vC=class extends _C{},yC=class extends _C{async _call(e){return new 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provided.");if(t&&(e.input_ids=cf([e.pixel_values.dims[0],1])),n){let{image_size:t}=this.config.vision_config;e.pixel_values=of([0,3,t,t],0)}let{text_embeddings:r,image_embeddings:i,l2norm_text_embeddings:a,l2norm_image_embeddings:o}=await super.forward(e),s={};return t||(s.text_embeddings=r,s.l2norm_text_embeddings=a),n||(s.image_embeddings=i,s.l2norm_image_embeddings=o),s}},RC=class extends IC{static async from_pretrained(e,t={}){return super.from_pretrained(e,{...t,model_file_name:t.model_file_name??`text_model`})}},zC=class extends IC{static async from_pretrained(e,t={}){return super.from_pretrained(e,{...t,model_file_name:t.model_file_name??`vision_model`})}},BC=class extends ${},VC=class extends BC{},HC=class extends BC{},UC=class extends lS{},WC=class extends ${},GC=class extends WC{},KC=class extends WC{},qC=class extends lS{forward_params=[`input_ids`,`attention_mask`,`pixel_values`,`pixel_attention_mask`,`spatial_shapes`,`position_ids`,`past_key_values`]},JC=class extends ${},YC=class extends JC{},XC=class extends JC{},ZC=class extends ${},QC=class extends ZC{},$C=class extends ${},ew=class extends $C{},tw=class extends $C{},nw=class extends ${},rw=class extends nw{},iw=class extends nw{},aw=class extends ${},ow=class extends aw{},sw=class extends aw{},cw=class extends ${},lw=class extends cw{},uw=class extends cw{},dw=class extends ${},fw=class extends dw{},pw=class extends dw{},mw=class extends dw{async _call(e){return new Z(await super._call(e))}},hw=class extends dw{},gw=class extends ${},_w=class extends gw{},vw=class extends ${},yw=class extends vw{},bw=class extends y_{constructor({char_logits:e,bpe_logits:t,wp_logits:n}){super(),this.char_logits=e,this.bpe_logits=t,this.wp_logits=n}get logits(){return[this.char_logits,this.bpe_logits,this.wp_logits]}},xw=class extends ${},Sw=class extends xw{async _call(e){return new bw(await super._call(e))}},Cw=class extends y_{constructor({audio_codes:e}){super(),this.audio_codes=e}},ww=class extends y_{constructor({audio_values:e}){super(),this.audio_values=e}},Tw=class extends ${main_input_name=`input_values`;forward_params=[`input_values`]},Ew=class extends Tw{async encode(e){return new Cw(await __(this.sessions.encoder_model,e))}async decode(e){return new ww(await __(this.sessions.decoder_model,e))}},Dw=class extends Tw{static async from_pretrained(e,t={}){return super.from_pretrained(e,{...t,model_file_name:t.model_file_name??`encoder_model`})}},Ow=class extends Tw{static async from_pretrained(e,t={}){return super.from_pretrained(e,{...t,model_file_name:t.model_file_name??`decoder_model`})}},kw=class extends ${},Aw=class extends kw{},jw=class extends kw{},Mw=class extends ${},Nw=class extends Mw{},Pw=class extends Mw{},Fw=class extends ${},Iw=class extends Fw{},Lw=class extends Fw{async _call(e){return new x_(await super._call(e))}},Rw=class extends Fw{async _call(e){return new Z(await super._call(e))}},zw=class extends Fw{async _call(e){return new S_(await super._call(e))}},Bw=class extends ${},Vw=class extends Bw{},Hw=class extends Bw{},Uw=class extends ${},Ww=class extends Uw{},Gw=class extends Uw{async _call(e){return new Z(await super._call(e))}},Kw=class extends Uw{},qw=class extends ${},Jw=class extends qw{},Yw=class extends qw{async _call(e){return new Z(await super._call(e))}},Xw=class extends qw{},Zw=class extends ${},Qw=class extends Zw{},$w=class extends Zw{async _call(e){return new Z(await super._call(e))}},eT=class extends Zw{},tT=class extends ${},nT=class extends tT{},rT=class extends tT{async _call(e){return new Z(await super._call(e))}},iT=class extends tT{},aT=class extends ${},oT=class extends aT{},sT=class extends aT{async _call(e){return new Z(await super._call(e))}},cT=class extends ${},lT=class extends cT{},uT=class extends cT{async _call(e){return new Z(await super._call(e))}},dT=class extends ${},fT=class extends dT{},pT=class extends dT{async _call(e){return new x_(await super._call(e))}},mT=class extends dT{async _call(e){return new Z(await super._call(e))}},hT=class extends dT{async _call(e){return new b_(await super._call(e))}},gT=class extends ${},_T=class extends gT{},vT=class extends gT{},yT=class extends ${requires_attention_mask=!1;main_input_name=`input_values`;forward_params=[`input_values`,`decoder_input_ids`,`past_key_values`]},bT=class extends yT{},xT=class extends yT{},ST=class extends ${},CT=class extends ST{},wT=class extends ST{async _call(e){return new x_(await super._call(e))}},TT=class extends ST{async _call(e){return new Z(await super._call(e))}},ET=class extends ST{async _call(e){return new b_(await super._call(e))}},DT=class extends ST{async _call(e){return new S_(await super._call(e))}},OT=class extends ${},kT=class extends OT{},AT=class extends OT{},jT=class extends ${},MT=class extends jT{},NT=class extends jT{},PT=class extends ${},FT=class extends PT{forward_params=[`input_ids`,`pixel_values`,`images_seq_mask`,`images_emb_mask`,`attention_mask`,`position_ids`,`past_key_values`];constructor(...e){super(...e),this._generation_mode=`text`}async forward(e){let t=this._generation_mode??`text`,n;if(t===`text`||!e.past_key_values){let t=this.sessions.prepare_inputs_embeds;n=await __(t,qo(e,t.inputNames))}else{let t=this.sessions.gen_img_embeds;n=await __(t,qo({image_ids:e.input_ids},t.inputNames))}let r={...e,...n},i=await mv(this,r),a=this.sessions[t===`text`?`lm_head`:`gen_head`];if(!a)throw Error(`Unable to find "${a}" generation head`);let o=await __(a,qo(i,a.inputNames));return{...n,...i,...o}}prepare_inputs_for_generation(e,t,n){let r=!!t.past_key_values;return n.guidance_scale!==null&&n.guidance_scale>1&&(r?t.input_ids=Qd([t.input_ids,t.input_ids],0):(t.input_ids=Qd([t.input_ids,sf(t.input_ids,BigInt(n.pad_token_id))],0),t.attention_mask=Qd([t.attention_mask,sf(t.attention_mask,0n)],0))),(r||!t.pixel_values)&&(t.pixel_values=of([0,0,3,384,384],1)),r&&(t.images_seq_mask=new J(`bool`,[,].fill(!0).fill(!1,0,1),[1,1]),t.images_emb_mask=new J(`bool`,[].fill(!1),[1,1,0])),t}async generate(e){return this._generation_mode=`text`,super.generate(e)}async generate_images(e){this._generation_mode=`image`;let t=(e.inputs??e[this.main_input_name]).dims[1],n=(await super.generate(e)).slice(null,[t,null]),r=this.sessions.image_decode,{decoded_image:i}=await __(r,{generated_tokens:n}),a=i.add_(1).mul_(255/2).clamp_(0,255).to(`uint8`),o=[];for(let e of a){let t=Am.fromTensor(e);o.push(t)}return o}},IT=class extends ${},LT=class extends IT{},RT=class extends IT{},zT=class extends ${forward_params=[`input_ids`,`attention_mask`,`encoder_outputs`,`decoder_input_ids`,`decoder_attention_mask`,`past_key_values`];_apply_and_filter_by_delay_pattern_mask(e){let[t,n]=e.dims,r=this.config.decoder.num_codebooks,i=n-r,a=0;for(let t=0;t0&&o<=i&&(e.data[a++]=e.data[t])}let o=Math.floor(t/r),s=a/(o*r);return new J(e.type,e.data.slice(0,a),[o,r,s])}prepare_inputs_for_generation(e,t,n){let r=BigInt(this.config.decoder.pad_token_id),i=structuredClone(e);for(let e=0;e=t&&(i[e][t]=r);return n.guidance_scale!==null&&n.guidance_scale>1&&(i=i.concat(i)),xv(this,i,t,n)}async generate(e){let t=await super.generate(e),n=this._apply_and_filter_by_delay_pattern_mask(t).unsqueeze_(0),{audio_values:r}=await __(this.sessions.encodec_decode,{audio_codes:n});return r}},BT=class extends ${},VT=class extends BT{},HT=class extends BT{},UT=class extends ${},WT=class extends UT{},GT=class extends UT{},KT=class extends ${},qT=class extends KT{},JT=class extends KT{async _call(e){return new x_(await super._call(e))}},YT=class extends KT{async _call(e){return new Z(await super._call(e))}},XT=class extends KT{async _call(e){return new b_(await super._call(e))}},ZT=class extends KT{async _call(e){return new S_(await super._call(e))}},QT=class extends ${},$T=class extends QT{},eE=class extends ${},tE=class extends eE{},nE=class extends eE{},rE=class extends ${},iE=class extends rE{},aE=class extends rE{},oE=class extends ${},sE=class extends oE{},cE=class extends oE{},lE=class extends ${},uE=class extends lE{},dE=class extends lE{},fE=class extends ${},pE=class extends fE{},mE=class extends fE{},hE=class extends ${},gE=class extends hE{},_E=class extends hE{},vE=class extends ${},yE=class extends vE{},bE=class extends vE{},xE=class extends ${},SE=class extends xE{},CE=class extends xE{},wE=class extends lS{},TE=class extends ${},EE=class extends TE{async _call(e){return new C_(await super._call(e))}},DE=class extends ${},OE=class extends DE{},kE=class extends DE{},AE=class extends ${},jE=class extends AE{},ME=class extends AE{},NE=class extends ${},PE=class extends NE{},FE=class extends NE{},IE=class extends ${},LE=class extends IE{},RE=class extends IE{},zE=class extends ${forward_params=[`input_ids`,`inputs_embeds`,`attention_mask`,`position_ids`,`pixel_values`,`image_sizes`,`past_key_values`]},BE=class extends zE{async forward({input_ids:e=null,attention_mask:t=null,pixel_values:n=null,image_sizes:r=null,position_ids:i=null,inputs_embeds:a=null,past_key_values:o=null,generation_config:s=null,logits_processor:c=null,...l}){if(!a){let t;if(n&&e.dims[1]!==1){if(!r)throw Error("`image_sizes` must be provided when `pixel_values` is provided.");({image_features:t}=await __(this.sessions.vision_encoder,{pixel_values:n,image_sizes:r}))}else{let e=this.config.normalized_config.hidden_size;t=new J(`float32`,[],[0,e])}({inputs_embeds:a}=await __(this.sessions.prepare_inputs_embeds,{input_ids:e,image_features:t}))}return await mv(this,{inputs_embeds:a,past_key_values:o,attention_mask:t,position_ids:i,generation_config:s,logits_processor:c},!1)}},VE=class extends ${},HE=class extends VE{},UE=class extends VE{async _call(e){return new Z(await super._call(e))}},WE=class extends ${},GE=class extends WE{},KE=class extends WE{async _call(e){return new b_(await super._call(e))}},qE=class extends ${},JE=class extends qE{},YE=class extends qE{},XE=class extends ${},ZE=class extends XE{},QE=class extends XE{},$E=class extends ${},eD=class extends $E{},tD=class extends $E{},nD=class extends ${},rD=class extends nD{},iD=class extends nD{},aD=class extends ${},oD=class extends aD{},sD=class extends aD{},cD=class extends OS{},lD=class extends kS{},uD=class extends cD{},dD=class extends lD{},fD=class extends cD{},pD=class extends fD{},mD=class extends fD{},hD=class extends pD{},gD=class extends ${},_D=class extends gD{},vD=class extends gD{async _call(e){return new Z(await super._call(e))}},yD=class extends ${},bD=class extends yD{},xD=class extends yD{async _call(e){return new SD(await super._call(e))}},SD=class extends pb{},CD=class extends ${},wD=class extends CD{},TD=class extends CD{async _call(e){return new x_(await super._call(e))}},ED=class extends CD{async _call(e){return new Z(await super._call(e))}},DD=class extends CD{async _call(e){return new b_(await super._call(e))}},OD=class extends CD{async _call(e){return new S_(await super._call(e))}},kD=class extends ${},AD=class extends kD{},jD=class extends kD{async _call(e){return new x_(await super._call(e))}},MD=class extends kD{async _call(e){return new Z(await super._call(e))}},ND=class extends kD{async _call(e){return new b_(await super._call(e))}},PD=class extends kD{async _call(e){return new S_(await super._call(e))}},FD=class extends ${},ID=class extends FD{},LD=class extends FD{async _call(e){return new RD(await super._call(e))}},RD=class extends pb{},zD=class extends y_{constructor({iou_scores:e,pred_masks:t}){super(),this.iou_scores=e,this.pred_masks=t}},BD=class extends ${},VD=class extends BD{async get_image_embeddings({pixel_values:e}){return await fv(this,{pixel_values:e})}async forward(e){e=!e.image_embeddings||!e.image_positional_embeddings?{...e,...await this.get_image_embeddings(e)}:{...e},e.input_labels??=cf(e.input_points.dims.slice(0,-1));let t={image_embeddings:e.image_embeddings,image_positional_embeddings:e.image_positional_embeddings};return e.input_points&&(t.input_points=e.input_points),e.input_labels&&(t.input_labels=e.input_labels),e.input_boxes&&(t.input_boxes=e.input_boxes),await __(this.sessions.prompt_encoder_mask_decoder,t)}async _call(e){return new zD(await super._call(e))}},HD=class extends y_{constructor({iou_scores:e,pred_masks:t,object_score_logits:n}){super(),this.iou_scores=e,this.pred_masks=t,this.object_score_logits=n}},UD=class extends ${},WD=class extends UD{async get_image_embeddings({pixel_values:e}){return await fv(this,{pixel_values:e})}async forward(e){let{num_feature_levels:t}=this.config.vision_config;if(e=Array.from({length:t},(e,t)=>`image_embeddings.${t}`).some(t=>!e[t])?{...e,...await this.get_image_embeddings(e)}:{...e},e.input_points){if(e.input_boxes&&e.input_boxes.dims[1]!==1)throw Error("When both `input_points` and `input_boxes` are provided, the number of boxes per image must be 1.");let t=e.input_points.dims;e.input_labels??=cf(t.slice(0,-1)),e.input_boxes??=of([t[0],0,4],0)}else if(e.input_boxes){let t=e.input_boxes.dims;e.input_labels=of([t[0],t[1],0],-1n),e.input_points=of([t[0],1,0,2],0)}else throw Error("At least one of `input_points` or `input_boxes` must be provided.");let n=this.sessions.prompt_encoder_mask_decoder;return await __(n,qo(e,n.inputNames))}async _call(e){return new HD(await super._call(e))}},GD=class extends WD{},KD=class extends WD{},qD=class extends ${},JD=class extends qD{},YD=class extends qD{},XD=class extends qD{},ZD=class extends ${},QD=class extends ZD{},$D=class extends ZD{},eO=class extends ZD{},tO=class extends ${},nO=class extends tO{},rO=class extends tO{static async from_pretrained(e,t={}){return super.from_pretrained(e,{...t,model_file_name:t.model_file_name??`text_model`})}},iO=class extends jy{static async from_pretrained(e,t={}){return super.from_pretrained(e,{...t,model_file_name:t.model_file_name??`vision_model`})}},aO=class extends ${},oO=class extends aO{},sO=class extends aO{},cO=class extends ${main_input_name=`input_values`;forward_params=[`input_values`]},lO=class extends cO{async encode(e){return await __(this.sessions.encoder_model,e)}async decode(e){return await __(this.sessions.decoder_model,e)}},uO=class extends cO{static async from_pretrained(e,t={}){return super.from_pretrained(e,{...t,model_file_name:t.model_file_name??`encoder_model`})}},dO=class extends cO{static async from_pretrained(e,t={}){return super.from_pretrained(e,{...t,model_file_name:t.model_file_name??`decoder_model`})}},fO=class extends ${},pO=class extends fO{},mO=class extends fO{},hO=class extends ${},gO=class extends hO{},_O=class extends hO{},vO=class extends hO{async generate_speech(e,t,{threshold:n=.5,minlenratio:r=0,maxlenratio:i=20,vocoder:a=null}={}){let{encoder_outputs:o,encoder_attention_mask:s}=await fv(this,{input_ids:e}),c=o.dims[1]/this.config.reduction_factor,l=Math.floor(c*i),u=Math.floor(c*r),d=this.config.num_mel_bins,f=[],p=null,m=null,h=0;for(;;){++h;let e=av(!!m),r;r=m?m.output_sequence_out:new J(`float32`,new Float32Array(d),[1,1,d]);let i={use_cache_branch:e,output_sequence:r,encoder_attention_mask:s,speaker_embeddings:t,encoder_hidden_states:o};this.addPastKeyValues(i,p),m=await __(this.sessions.decoder_model_merged,i),p=this.getPastKeyValues(m,p);let{prob:a,spectrum:c}=m;if(f.push(c),h>=u&&(Array.from(a.data).filter(e=>e>=n).length>0||h>=l))break}let g=Qd(f),{waveform:_}=await __(a.sessions.model,{spectrogram:g});return{spectrogram:g,waveform:_}}},yO=class extends ${main_input_name=`spectrogram`},bO=class extends ${},xO=class extends bO{},SO=class extends bO{async _call(e){return new x_(await super._call(e))}},CO=class extends bO{async _call(e){return new Z(await super._call(e))}},wO=class extends bO{async _call(e){return new S_(await super._call(e))}},TO=class extends ${},EO=class extends TO{},DO=class extends TO{},OO=class extends ${},kO=class extends OO{},AO=class extends OO{},jO=class extends ${},MO=class extends jO{},NO=class extends ${},PO=class extends NO{async generate_speech({input_ids:e,attention_mask:t,style:n,num_inference_steps:r=5,speed:i=1.05}){let{sampling_rate:a,chunk_compress_factor:o,base_chunk_size:s,latent_dim:c}=this.config,{last_hidden_state:l,durations:u}=await __(this.sessions.text_encoder,{input_ids:e,attention_mask:t,style:n}),d=u.div(i).mul_(a),f=s*o,p=d.data,m=Int32Array.from(p,e=>Math.ceil(e/f)),h=Math.max(...m),g=e.dims[0],_=new BigInt64Array(g*h);for(let e=0;ee*t,1)),d[e]);let f=new J(l,new u(s*Ek),[1,s,Ek]),p=t[Symbol.asyncIterator]?.()??t[Symbol.iterator]?.();if(!p)throw Error(`input_features must be iterable or async iterable`);return{encoder_session:i,enc_kv_cache:c,enc_padding_cache:f,enc_past_seq_len:0,audio_embed_queue:[],audio_embed_total_tokens:0,audio_queue_offset:0,audio_consumed:0,stream_exhausted:!1,chunks_iter:p,text_hidden_size:n.hidden_size}}async function Ak(e,t){let n=t.dims[2],r=Math.floor((Dk+n-3)/2)+1,i=new J(`int64`,BigInt64Array.from({length:r},(t,n)=>BigInt(e.enc_past_seq_len+n)),[1,r]),a=e.enc_past_seq_len+r,o=cf([1,a]),{audio_embeds:s,present_padding_cache:c,...l}=await __(e.encoder_session,{input_features:t,attention_mask:o,position_ids:i,past_padding_cache:e.enc_padding_cache,...e.enc_kv_cache});e.enc_padding_cache.location===`gpu-buffer`&&e.enc_padding_cache.dispose(),e.enc_padding_cache=c;for(let t in l)if(t.startsWith(`present.`)){let n=t.replace(`present`,`past_key_values`),r=e.enc_kv_cache[n];r?.location===`gpu-buffer`&&r.dispose(),e.enc_kv_cache[n]=l[t]}return e.enc_past_seq_len=a,s}async function jk(e,t){for(;e.audio_embed_total_tokens0&&e.audio_embed_queue.length>0;){let t=e.audio_embed_queue[0],n=t.tokens-e.audio_queue_offset,o=Math.min(a,n),s=e.audio_queue_offset*e.text_hidden_size;for(let n=0;n=t.tokens&&(e.audio_embed_queue.shift(),e.audio_queue_offset=0)}e.audio_consumed+=n-a}var Nk=class extends V_{constructor(e){super(),this._s=e}_call(e){let t=this._s.stream_exhausted&&this._s.audio_embed_queue.length===0;return e.map(()=>t)}},Pk=class extends ${forward_params=[`input_ids`,`attention_mask`,`position_ids`,`past_key_values`]},Fk=class extends Pk{async forward({input_ids:e,past_key_values:t,...n}){let r=e.dims[1],i=Ok.get(this);i&&await jk(i,i.audio_consumed+r);let{inputs_embeds:a}=await __(this.sessions.embed_tokens,{input_ids:e});i&&Mk(i,a,r);let o={inputs_embeds:a,...n};this.addPastKeyValues(o,t);let s=this.sessions.decoder_model_merged;return await __(s,qo(o,s.inputNames))}async generate({input_features:e,stopping_criteria:t,...n}){if(!e)throw Error(`input_features (generator/iterable) must be provided`);let r=kk(this,e);Ok.set(this,r);let i=new H_;i.push(new Nk(r)),t&&i.extend(t);try{return await super.generate({...n,stopping_criteria:i})}finally{r.enc_kv_cache.dispose(),Ok.delete(this)}}},Ik=class extends ${},Lk=class extends Ik{},Rk=class extends Ik{async _call(e){return new C_(await super._call(e))}},zk=class extends Ik{async _call(e){return new Z(await super._call(e))}},Bk=class extends y_{constructor({logits:e,embeddings:t}){super(),this.logits=e,this.embeddings=t}},Vk=class extends ${},Hk=class extends Vk{},Uk=class extends Vk{async _call(e){return new C_(await super._call(e))}},Wk=class extends Vk{async _call(e){return new Z(await super._call(e))}},Gk=class extends Vk{async _call(e){return new Bk(await super._call(e))}},Kk=class extends Vk{async _call(e){return new b_(await super._call(e))}},qk=class extends ${},Jk=class extends qk{},Yk=class extends B_{return_timestamps=null;return_token_timestamps=null;num_frames=null;alignment_heads=null;task=null;language=null;no_timestamps_token_id=null;prompt_ids=null;is_multilingual=null;lang_to_id=null;task_to_id=null;max_initial_timestamp_index=1},Xk=class extends ${requires_attention_mask=!1;main_input_name=`input_features`;forward_params=[`input_features`,`attention_mask`,`decoder_input_ids`,`decoder_attention_mask`,`past_key_values`]},Zk=class extends Xk{},Qk=class extends Xk{_prepare_generation_config(e,t){return super._prepare_generation_config(e,t,Yk)}_retrieve_init_tokens(e){let t=[e.decoder_start_token_id],n=e.language,r=e.task;if(e.is_multilingual){n||=(U.warn(`No language specified - defaulting to English (en).`),`en`);let i=`<|${gp(n)}|>`;t.push(e.lang_to_id[i]),t.push(e.task_to_id[r??`transcribe`])}else if(n||r)throw Error("Cannot specify `task` or `language` for an English-only model. If the model is intended to be multilingual, pass `is_multilingual=true` to generate, or update the generation config.");return!e.return_timestamps&&e.no_timestamps_token_id&&t.at(-1)!==e.no_timestamps_token_id?t.push(e.no_timestamps_token_id):e.return_timestamps&&t.at(-1)===e.no_timestamps_token_id&&(U.warn("<|notimestamps|> prompt token is removed from generation_config since `return_timestamps` is set to `true`."),t.pop()),t.filter(e=>e!=null)}async generate({inputs:e=null,generation_config:t=null,logits_processor:n=null,stopping_criteria:r=null,...i}){t=this._prepare_generation_config(t,i);let a=i.decoder_input_ids??this._retrieve_init_tokens(t);if(t.return_timestamps&&(n??=new D_,n.push(new M_(t,a))),t.begin_suppress_tokens&&(n??=new D_,n.push(new j_(t.begin_suppress_tokens,a.length))),t.return_token_timestamps){if(!t.alignment_heads)throw Error("Model generation config has no `alignment_heads`, token-level timestamps not available. See https://gist.github.com/hollance/42e32852f24243b748ae6bc1f985b13a on how to add this property to the generation config.");t.task===`translate`&&U.warn(`Token-level timestamps may not be reliable for task 'translate'.`),t.output_attentions=!0,t.return_dict_in_generate=!0}if(t.return_timestamps&&!i.max_new_tokens)return this._generate_with_seek({inputs:e,generation_config:t,logits_processor:n,init_tokens:a,kwargs:i});let o=await super.generate({inputs:e,generation_config:t,logits_processor:n,decoder_input_ids:a,...i});return t.return_token_timestamps&&(o.token_timestamps=this._extract_token_timestamps(o,t.alignment_heads,t.num_frames,.02,a.length)),o}async _generate_with_seek({inputs:e,generation_config:t,logits_processor:n,init_tokens:r,kwargs:i}){let a=t.no_timestamps_token_id+1,o=Array.isArray(t.eos_token_id)?t.eos_token_id[0]:t.eos_token_id,s=t.return_token_timestamps,c=e,l=c.dims[2],u=2*this.config.max_source_positions,d=0,f=[],p=[];for(;de+n)}if(v.length>0&&v.at(-1)===o&&v.pop(),v.length===0)break;let b=v.map(e=>e>=a),x=v.length>=2&&b[v.length-1]&&!b[v.length-2],S=[];for(let e=0;e0)if(x)C=e-d;else{let e=S.at(-1);C=(v[e-1]-a)*2,w=e}else C=e-d;let T=Math.floor(d/2),E=a+1500;for(let e=0;e=a&&(v[e]=Math.min(v[e]+T,E));f.push(...v.slice(0,w)),y&&p.push(...y.slice(0,w)),d+=C}f.push(o);let m=[...r,...f];if(s){let e=new J(`int64`,m.map(BigInt),[1,m.length]),t=[...Array(r.length).fill(0),...p,0];return{sequences:e,token_timestamps:new J(`float32`,new Float32Array(t),[1,t.length])}}return new J(`int64`,m.map(BigInt),[1,m.length])}_extract_token_timestamps(e,t,n=null,r=.02,i=0){if(!e.cross_attentions)throw Error("Model outputs must contain cross attentions to extract timestamps. This is most likely because the model was not exported with `output_attentions=True`.");n??U.warn("`num_frames` has not been set, meaning the entire audio will be analyzed. This may lead to inaccurate token-level timestamps for short audios (< 30 seconds).");let a=this.config.median_filter_width;a===void 0&&(U.warn("Model config has no `median_filter_width`, using default value of 7."),a=7);let o=e.cross_attentions,s=Array.from({length:this.config.decoder_layers},(e,t)=>Qd(o.map(e=>e[t]),2)),c=$d(t.map(([e,t])=>{if(e>=s.length)throw Error(`Layer index ${e} is out of bounds for cross attentions (length ${s.length}).`);return n?s[e].slice(null,t,null,[0,n]):s[e].slice(null,t)})).transpose(1,0,2,3),[l,u]=tf(c,-2,0,!0),d=c.clone();for(let e=0;e0?d.slice(null,null,[i,d.dims[2]],null):d,1)],p=e.sequences.dims,m=new J(`float32`,new Float32Array(p[0]*p[1]),p);for(let e=0;et[n+1]-t[n])).map(e=>!!e),o=[];for(let e=0;e0&&s.push(o.at(-1)),m[e].data.set(s)}return m}},$k=class extends Qk{},eA=class extends ${},tA=class extends eA{},nA=class extends eA{async _call(e){return new x_(await super._call(e))}},rA=class extends eA{async _call(e){return new Z(await super._call(e))}},iA=class extends eA{async _call(e){return new b_(await super._call(e))}},aA=class extends eA{async _call(e){return new S_(await super._call(e))}},oA=class extends ${},sA=class extends oA{},cA=class extends oA{async _call(e){return new x_(await super._call(e))}},lA=class extends oA{async _call(e){return new Z(await super._call(e))}},uA=class extends oA{async _call(e){return new b_(await super._call(e))}},dA=class extends oA{async _call(e){return new S_(await super._call(e))}},fA=class extends ${},pA=class extends fA{},mA=class extends fA{async _call(e){return new hA(await super._call(e))}},hA=class extends y_{constructor({logits:e,pred_boxes:t}){super(),this.logits=e,this.pred_boxes=t}},gA=class extends ${},_A=class extends gA{},vA=class extends gA{},yA=new Map([[`bert`,`BertModel`],[`eurobert`,`EuroBertModel`],[`neobert`,`NeoBertModel`],[`modernbert`,`ModernBertModel`],[`nomic_bert`,`NomicBertModel`],[`roformer`,`RoFormerModel`],[`electra`,`ElectraModel`],[`esm`,`EsmModel`],[`convbert`,`ConvBertModel`],[`camembert`,`CamembertModel`],[`deberta`,`DebertaModel`],[`deberta-v2`,`DebertaV2Model`],[`mpnet`,`MPNetModel`],[`albert`,`AlbertModel`],[`distilbert`,`DistilBertModel`],[`roberta`,`RobertaModel`],[`xlm`,`XLMModel`],[`xlm-roberta`,`XLMRobertaModel`],[`clap`,`ClapModel`],[`clip`,`CLIPModel`],[`clipseg`,`CLIPSegModel`],[`chinese_clip`,`ChineseCLIPModel`],[`siglip`,`SiglipModel`],[`jina_clip`,`JinaCLIPModel`],[`mobilebert`,`MobileBertModel`],[`squeezebert`,`SqueezeBertModel`],[`wav2vec2`,`Wav2Vec2Model`],[`wav2vec2-bert`,`Wav2Vec2BertModel`],[`unispeech`,`UniSpeechModel`],[`unispeech-sat`,`UniSpeechSatModel`],[`hubert`,`HubertModel`],[`wavlm`,`WavLMModel`],[`audio-spectrogram-transformer`,`ASTModel`],[`vits`,`VitsModel`],[`pyannote`,`PyAnnoteModel`],[`wespeaker-resnet`,`WeSpeakerResNetModel`],[`detr`,`DetrModel`],[`rt_detr`,`RTDetrModel`],[`rt_detr_v2`,`RTDetrV2Model`],[`rf_detr`,`RFDetrModel`],[`d_fine`,`DFineModel`],[`table-transformer`,`TableTransformerModel`],[`vit`,`ViTModel`],[`ijepa`,`IJepaModel`],[`pvt`,`PvtModel`],[`vit_msn`,`ViTMSNModel`],[`vit_mae`,`ViTMAEModel`],[`groupvit`,`GroupViTModel`],[`fastvit`,`FastViTModel`],[`mobilevit`,`MobileViTModel`],[`mobilevitv2`,`MobileViTV2Model`],[`owlvit`,`OwlViTModel`],[`owlv2`,`Owlv2Model`],[`beit`,`BeitModel`],[`deit`,`DeiTModel`],[`hiera`,`HieraModel`],[`convnext`,`ConvNextModel`],[`convnextv2`,`ConvNextV2Model`],[`dinov2`,`Dinov2Model`],[`dinov2_with_registers`,`Dinov2WithRegistersModel`],[`dinov3_vit`,`DINOv3ViTModel`],[`dinov3_convnext`,`DINOv3ConvNextModel`],[`resnet`,`ResNetModel`],[`swin`,`SwinModel`],[`swin2sr`,`Swin2SRModel`],[`donut-swin`,`DonutSwinModel`],[`yolos`,`YolosModel`],[`dpt`,`DPTModel`],[`glpn`,`GLPNModel`],[`hifigan`,`SpeechT5HifiGan`],[`efficientnet`,`EfficientNetModel`],[`decision_transformer`,`DecisionTransformerModel`],[`patchtst`,`PatchTSTModel`],[`patchtsmixer`,`PatchTSMixerModel`],[`mobilenet_v1`,`MobileNetV1Model`],[`mobilenet_v2`,`MobileNetV2Model`],[`mobilenet_v3`,`MobileNetV3Model`],[`mobilenet_v4`,`MobileNetV4Model`],[`maskformer`,`MaskFormerModel`],[`mgp-str`,`MgpstrForSceneTextRecognition`],[`style_text_to_speech_2`,`StyleTextToSpeech2Model`]]),bA=new Map([[`t5`,`T5Model`],[`longt5`,`LongT5Model`],[`mt5`,`MT5Model`],[`bart`,`BartModel`],[`mbart`,`MBartModel`],[`marian`,`MarianModel`],[`whisper`,`WhisperModel`],[`cohere_asr`,`CohereAsrModel`],[`m2m_100`,`M2M100Model`],[`blenderbot`,`BlenderbotModel`],[`blenderbot-small`,`BlenderbotSmallModel`]]),xA=new Map([[`mimi`,`MimiModel`],[`dac`,`DacModel`],[`snac`,`SnacModel`]]),SA=new Map([[`bloom`,`BloomModel`],[`jais`,`JAISModel`],[`gpt2`,`GPT2Model`],[`gpt_oss`,`GptOssModel`],[`gptj`,`GPTJModel`],[`gpt_bigcode`,`GPTBigCodeModel`],[`gpt_neo`,`GPTNeoModel`],[`gpt_neox`,`GPTNeoXModel`],[`codegen`,`CodeGenModel`],[`llama`,`LlamaModel`],[`apertus`,`ApertusModel`],[`nanochat`,`NanoChatModel`],[`arcee`,`ArceeModel`],[`afmoe`,`AfmoeModel`],[`lfm2`,`Lfm2Model`],[`lfm2_moe`,`Lfm2MoeModel`],[`smollm3`,`SmolLM3Model`],[`exaone`,`ExaoneModel`],[`olmo`,`OlmoModel`],[`olmo2`,`Olmo2Model`],[`olmo3`,`Olmo3Model`],[`olmo_hybrid`,`OlmoHybridModel`],[`mobilellm`,`MobileLLMModel`],[`granite`,`GraniteModel`],[`granitemoehybrid`,`GraniteMoeHybridModel`],[`cohere`,`CohereModel`],[`cohere2`,`Cohere2Model`],[`gemma`,`GemmaModel`],[`gemma2`,`Gemma2Model`],[`vaultgemma`,`VaultGemmaModel`],[`gemma3_text`,`Gemma3Model`],[`helium`,`HeliumModel`],[`glm`,`GlmModel`],[`glm_moe_dsa`,`GlmMoeDsaModel`],[`openelm`,`OpenELMModel`],[`qwen2`,`Qwen2Model`],[`qwen2_moe`,`Qwen2MoeModel`],[`qwen3`,`Qwen3Model`],[`qwen3_moe`,`Qwen3MoeModel`],[`qwen3_next`,`Qwen3NextModel`],[`phi`,`PhiModel`],[`phi3`,`Phi3Model`],[`mpt`,`MptModel`],[`opt`,`OPTModel`],[`mistral`,`MistralModel`],[`mistral4`,`Mistral4Model`],[`ministral`,`MinistralModel`],[`ministral3`,`Ministral3Model`],[`ernie4_5`,`Ernie4_5ForCausalLM`],[`starcoder2`,`Starcoder2Model`],[`deepseek_v3`,`DeepseekV3Model`],[`falcon`,`FalconModel`],[`falcon_h1`,`FalconH1Model`],[`nemotron_h`,`NemotronHModel`],[`solar_open`,`SolarOpenModel`],[`stablelm`,`StableLmModel`],[`modernbert-decoder`,`ModernBertDecoderModel`],[`hunyuan_v1_dense`,`HunYuanDenseV1Model`],[`youtu`,`YoutuModel`]]),CA=new Map([[`speecht5`,`SpeechT5ForSpeechToText`],[`whisper`,`WhisperForConditionalGeneration`],[`lite-whisper`,`LiteWhisperForConditionalGeneration`],[`moonshine`,`MoonshineForConditionalGeneration`],[`cohere_asr`,`CohereAsrForConditionalGeneration`]]),wA=new Map([[`speecht5`,`SpeechT5ForTextToSpeech`]]),TA=new Map([[`vits`,`VitsModel`],[`musicgen`,`MusicgenForConditionalGeneration`],[`supertonic`,`SupertonicForConditionalGeneration`]]),EA=new Map([[`bert`,`BertForSequenceClassification`],[`eurobert`,`EuroBertForSequenceClassification`],[`neobert`,`NeoBertForSequenceClassification`],[`modernbert`,`ModernBertForSequenceClassification`],[`roformer`,`RoFormerForSequenceClassification`],[`electra`,`ElectraForSequenceClassification`],[`esm`,`EsmForSequenceClassification`],[`convbert`,`ConvBertForSequenceClassification`],[`camembert`,`CamembertForSequenceClassification`],[`deberta`,`DebertaForSequenceClassification`],[`deberta-v2`,`DebertaV2ForSequenceClassification`],[`mpnet`,`MPNetForSequenceClassification`],[`albert`,`AlbertForSequenceClassification`],[`distilbert`,`DistilBertForSequenceClassification`],[`roberta`,`RobertaForSequenceClassification`],[`xlm`,`XLMForSequenceClassification`],[`xlm-roberta`,`XLMRobertaForSequenceClassification`],[`bart`,`BartForSequenceClassification`],[`mbart`,`MBartForSequenceClassification`],[`mobilebert`,`MobileBertForSequenceClassification`],[`squeezebert`,`SqueezeBertForSequenceClassification`]]),DA=new Map([[`bert`,`BertForTokenClassification`],[`eurobert`,`EuroBertForTokenClassification`],[`neobert`,`NeoBertForTokenClassification`],[`modernbert`,`ModernBertForTokenClassification`],[`roformer`,`RoFormerForTokenClassification`],[`electra`,`ElectraForTokenClassification`],[`esm`,`EsmForTokenClassification`],[`convbert`,`ConvBertForTokenClassification`],[`camembert`,`CamembertForTokenClassification`],[`deberta`,`DebertaForTokenClassification`],[`deberta-v2`,`DebertaV2ForTokenClassification`],[`mpnet`,`MPNetForTokenClassification`],[`distilbert`,`DistilBertForTokenClassification`],[`roberta`,`RobertaForTokenClassification`],[`xlm`,`XLMForTokenClassification`],[`xlm-roberta`,`XLMRobertaForTokenClassification`]]),OA=new Map([[`t5`,`T5ForConditionalGeneration`],[`longt5`,`LongT5ForConditionalGeneration`],[`mt5`,`MT5ForConditionalGeneration`],[`bart`,`BartForConditionalGeneration`],[`mbart`,`MBartForConditionalGeneration`],[`marian`,`MarianMTModel`],[`m2m_100`,`M2M100ForConditionalGeneration`],[`blenderbot`,`BlenderbotForConditionalGeneration`],[`blenderbot-small`,`BlenderbotSmallForConditionalGeneration`]]),kA=new Map([[`bloom`,`BloomForCausalLM`],[`gpt2`,`GPT2LMHeadModel`],[`gpt_oss`,`GptOssForCausalLM`],[`jais`,`JAISLMHeadModel`],[`gptj`,`GPTJForCausalLM`],[`gpt_bigcode`,`GPTBigCodeForCausalLM`],[`gpt_neo`,`GPTNeoForCausalLM`],[`gpt_neox`,`GPTNeoXForCausalLM`],[`codegen`,`CodeGenForCausalLM`],[`llama`,`LlamaForCausalLM`],[`nanochat`,`NanoChatForCausalLM`],[`apertus`,`ApertusForCausalLM`],[`llama4_text`,`Llama4ForCausalLM`],[`arcee`,`ArceeForCausalLM`],[`afmoe`,`AfmoeForCausalLM`],[`lfm2`,`Lfm2ForCausalLM`],[`lfm2_moe`,`Lfm2MoeForCausalLM`],[`smollm3`,`SmolLM3ForCausalLM`],[`exaone`,`ExaoneForCausalLM`],[`olmo`,`OlmoForCausalLM`],[`olmo2`,`Olmo2ForCausalLM`],[`olmo3`,`Olmo3ForCausalLM`],[`olmo_hybrid`,`OlmoHybridForCausalLM`],[`mobilellm`,`MobileLLMForCausalLM`],[`granite`,`GraniteForCausalLM`],[`granitemoehybrid`,`GraniteMoeHybridForCausalLM`],[`cohere`,`CohereForCausalLM`],[`cohere2`,`Cohere2ForCausalLM`],[`gemma`,`GemmaForCausalLM`],[`gemma2`,`Gemma2ForCausalLM`],[`vaultgemma`,`VaultGemmaForCausalLM`],[`gemma3_text`,`Gemma3ForCausalLM`],[`gemma3`,`Gemma3ForCausalLM`],[`helium`,`HeliumForCausalLM`],[`glm`,`GlmForCausalLM`],[`glm_moe_dsa`,`GlmMoeDsaForCausalLM`],[`openelm`,`OpenELMForCausalLM`],[`qwen2`,`Qwen2ForCausalLM`],[`qwen2_moe`,`Qwen2MoeForCausalLM`],[`qwen3`,`Qwen3ForCausalLM`],[`qwen3_moe`,`Qwen3MoeForCausalLM`],[`qwen3_next`,`Qwen3NextForCausalLM`],[`qwen2_vl`,`Qwen2VLForCausalLM`],[`qwen2_5_vl`,`Qwen2_5_VLForCausalLM`],[`qwen3_vl`,`Qwen3VLForCausalLM`],[`qwen3_vl_moe`,`Qwen3VLMoeForCausalLM`],[`qwen3_5`,`Qwen3_5ForCausalLM`],[`qwen3_5_text`,`Qwen3_5ForCausalLM`],[`qwen3_5_moe`,`Qwen3_5MoeForCausalLM`],[`gemma3n`,`Gemma3nForCausalLM`],[`phi`,`PhiForCausalLM`],[`phi3`,`Phi3ForCausalLM`],[`mpt`,`MptForCausalLM`],[`opt`,`OPTForCausalLM`],[`mbart`,`MBartForCausalLM`],[`mistral`,`MistralForCausalLM`],[`mistral4`,`Mistral4ForCausalLM`],[`ministral`,`MinistralForCausalLM`],[`ministral3`,`Ministral3ForCausalLM`],[`ernie4_5`,`Ernie4_5ForCausalLM`],[`starcoder2`,`Starcoder2ForCausalLM`],[`deepseek_v3`,`DeepseekV3ForCausalLM`],[`falcon`,`FalconForCausalLM`],[`falcon_h1`,`FalconH1ForCausalLM`],[`nemotron_h`,`NemotronHForCausalLM`],[`trocr`,`TrOCRForCausalLM`],[`solar_open`,`SolarOpenForCausalLM`],[`stablelm`,`StableLmForCausalLM`],[`modernbert-decoder`,`ModernBertDecoderForCausalLM`],[`hunyuan_v1_dense`,`HunYuanDenseV1ForCausalLM`],[`youtu`,`YoutuForCausalLM`],[`phi3_v`,`Phi3VForCausalLM`]]),AA=new Map([[`multi_modality`,`MultiModalityCausalLM`]]),jA=new Map([[`bert`,`BertForMaskedLM`],[`eurobert`,`EuroBertForMaskedLM`],[`neobert`,`NeoBertForMaskedLM`],[`modernbert`,`ModernBertForMaskedLM`],[`roformer`,`RoFormerForMaskedLM`],[`electra`,`ElectraForMaskedLM`],[`esm`,`EsmForMaskedLM`],[`convbert`,`ConvBertForMaskedLM`],[`camembert`,`CamembertForMaskedLM`],[`deberta`,`DebertaForMaskedLM`],[`deberta-v2`,`DebertaV2ForMaskedLM`],[`mpnet`,`MPNetForMaskedLM`],[`albert`,`AlbertForMaskedLM`],[`distilbert`,`DistilBertForMaskedLM`],[`roberta`,`RobertaForMaskedLM`],[`xlm`,`XLMWithLMHeadModel`],[`xlm-roberta`,`XLMRobertaForMaskedLM`],[`mobilebert`,`MobileBertForMaskedLM`],[`squeezebert`,`SqueezeBertForMaskedLM`]]),MA=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`]]),NA=new Map([[`vision-encoder-decoder`,`VisionEncoderDecoderModel`],[`idefics3`,`Idefics3ForConditionalGeneration`],[`smolvlm`,`SmolVLMForConditionalGeneration`]]),PA=new Map([[`llava`,`LlavaForConditionalGeneration`],[`llava_onevision`,`LlavaOnevisionForConditionalGeneration`],[`moondream1`,`Moondream1ForConditionalGeneration`],[`florence2`,`Florence2ForConditionalGeneration`],[`qwen2_vl`,`Qwen2VLForConditionalGeneration`],[`qwen2_5_vl`,`Qwen2_5_VLForConditionalGeneration`],[`qwen3_vl`,`Qwen3VLForConditionalGeneration`],[`qwen3_vl_moe`,`Qwen3VLMoeForConditionalGeneration`],[`qwen3_5`,`Qwen3_5ForConditionalGeneration`],[`qwen3_5_moe`,`Qwen3_5MoeForConditionalGeneration`],[`lfm2_vl`,`Lfm2VlForConditionalGeneration`],[`idefics3`,`Idefics3ForConditionalGeneration`],[`smolvlm`,`SmolVLMForConditionalGeneration`],[`paligemma`,`PaliGemmaForConditionalGeneration`],[`llava_qwen2`,`LlavaQwen2ForCausalLM`],[`gemma3`,`Gemma3ForConditionalGeneration`],[`gemma3n`,`Gemma3nForConditionalGeneration`],[`mistral3`,`Mistral3ForConditionalGeneration`],[`lighton_ocr`,`LightOnOcrForConditionalGeneration`],[`glm_ocr`,`GlmOcrForConditionalGeneration`]]),FA=new Map([[`granite_speech`,`GraniteSpeechForConditionalGeneration`],[`ultravox`,`UltravoxModel`],[`voxtral`,`VoxtralForConditionalGeneration`],[`voxtral_realtime`,`VoxtralRealtimeForConditionalGeneration`]]),IA=new Map([[`vision-encoder-decoder`,`VisionEncoderDecoderModel`]]),LA=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`]]),RA=new Map([[`detr`,`DetrForObjectDetection`],[`rt_detr`,`RTDetrForObjectDetection`],[`rt_detr_v2`,`RTDetrV2ForObjectDetection`],[`rf_detr`,`RFDetrForObjectDetection`],[`d_fine`,`DFineForObjectDetection`],[`table-transformer`,`TableTransformerForObjectDetection`],[`yolos`,`YolosForObjectDetection`]]),zA=new Map([[`owlvit`,`OwlViTForObjectDetection`],[`owlv2`,`Owlv2ForObjectDetection`],[`grounding-dino`,`GroundingDinoForObjectDetection`]]),BA=new Map([[`detr`,`DetrForSegmentation`],[`clipseg`,`CLIPSegForImageSegmentation`]]),VA=new Map([[`segformer`,`SegformerForSemanticSegmentation`],[`sapiens`,`SapiensForSemanticSegmentation`],[`swin`,`SwinForSemanticSegmentation`],[`mobilenet_v1`,`MobileNetV1ForSemanticSegmentation`],[`mobilenet_v2`,`MobileNetV2ForSemanticSegmentation`],[`mobilenet_v3`,`MobileNetV3ForSemanticSegmentation`],[`mobilenet_v4`,`MobileNetV4ForSemanticSegmentation`]]),HA=new Map([[`detr`,`DetrForSegmentation`],[`maskformer`,`MaskFormerForInstanceSegmentation`]]),UA=new Map([[`sam`,`SamModel`],[`sam2`,`Sam2Model`],[`edgetam`,`EdgeTamModel`],[`sam3_tracker`,`Sam3TrackerModel`]]),WA=new Map([[`wav2vec2`,`Wav2Vec2ForCTC`],[`wav2vec2-bert`,`Wav2Vec2BertForCTC`],[`unispeech`,`UniSpeechForCTC`],[`unispeech-sat`,`UniSpeechSatForCTC`],[`wavlm`,`WavLMForCTC`],[`hubert`,`HubertForCTC`],[`parakeet_ctc`,`ParakeetForCTC`]]),GA=new Map([[`wav2vec2`,`Wav2Vec2ForSequenceClassification`],[`wav2vec2-bert`,`Wav2Vec2BertForSequenceClassification`],[`unispeech`,`UniSpeechForSequenceClassification`],[`unispeech-sat`,`UniSpeechSatForSequenceClassification`],[`wavlm`,`WavLMForSequenceClassification`],[`hubert`,`HubertForSequenceClassification`],[`audio-spectrogram-transformer`,`ASTForAudioClassification`]]),KA=new Map([[`wavlm`,`WavLMForXVector`]]),qA=new Map([[`unispeech-sat`,`UniSpeechSatForAudioFrameClassification`],[`wavlm`,`WavLMForAudioFrameClassification`],[`wav2vec2`,`Wav2Vec2ForAudioFrameClassification`],[`pyannote`,`PyAnnoteForAudioFrameClassification`]]),JA=new Map([[`vitmatte`,`VitMatteForImageMatting`]]),YA=new Map([[`patchtst`,`PatchTSTForPrediction`],[`patchtsmixer`,`PatchTSMixerForPrediction`]]),XA=new Map([[`swin2sr`,`Swin2SRForImageSuperResolution`]]),ZA=new Map([[`chmv2`,`CHMv2ForDepthEstimation`],[`dpt`,`DPTForDepthEstimation`],[`depth_anything`,`DepthAnythingForDepthEstimation`],[`glpn`,`GLPNForDepthEstimation`],[`sapiens`,`SapiensForDepthEstimation`],[`depth_pro`,`DepthProForDepthEstimation`],[`metric3d`,`Metric3DForDepthEstimation`],[`metric3dv2`,`Metric3Dv2ForDepthEstimation`]]),QA=new Map([[`sapiens`,`SapiensForNormalEstimation`]]),$A=new Map([[`vitpose`,`VitPoseForPoseEstimation`]]),ej=new Map([[`clip`,`CLIPVisionModelWithProjection`],[`siglip`,`SiglipVisionModel`],[`jina_clip`,`JinaCLIPVisionModel`]]),tj=[[yA,Q.EncoderOnly],[bA,Q.EncoderDecoder],[SA,Q.DecoderOnlyWithoutHead],[xA,Q.AutoEncoder],[EA,Q.EncoderOnly],[DA,Q.EncoderOnly],[OA,Q.Seq2Seq],[CA,Q.Seq2Seq],[kA,Q.DecoderOnly],[AA,Q.MultiModality],[jA,Q.EncoderOnly],[MA,Q.EncoderOnly],[NA,Q.Vision2Seq],[PA,Q.ImageTextToText],[FA,Q.AudioTextToText],[LA,Q.EncoderOnly],[BA,Q.EncoderOnly],[HA,Q.EncoderOnly],[VA,Q.EncoderOnly],[JA,Q.EncoderOnly],[YA,Q.EncoderOnly],[XA,Q.EncoderOnly],[ZA,Q.EncoderOnly],[QA,Q.EncoderOnly],[$A,Q.EncoderOnly],[RA,Q.EncoderOnly],[zA,Q.EncoderOnly],[UA,Q.MaskGeneration],[WA,Q.EncoderOnly],[GA,Q.EncoderOnly],[wA,Q.Seq2Seq],[TA,Q.EncoderOnly],[KA,Q.EncoderOnly],[qA,Q.EncoderOnly],[ej,Q.EncoderOnly]];for(let[e,t]of tj)for(let n of e.values()){cv.set(n,t);let e=Dv[n];uv.set(e,n),lv.set(n,e)}var nj=[[`MusicgenForConditionalGeneration`,zT,Q.Musicgen],[`Phi3VForCausalLM`,BE,Q.Phi3V],[`CLIPTextModelWithProjection`,Py,Q.EncoderOnly],[`SiglipTextModel`,rO,Q.EncoderOnly],[`JinaCLIPTextModel`,RC,Q.EncoderOnly],[`ClapTextModelWithProjection`,ky,Q.EncoderOnly],[`ClapAudioModelWithProjection`,Ay,Q.EncoderOnly],[`DacEncoderModel`,xb,Q.EncoderOnly],[`DacDecoderModel`,Sb,Q.EncoderOnly],[`MimiEncoderModel`,Dw,Q.EncoderOnly],[`MimiDecoderModel`,Ow,Q.EncoderOnly],[`SnacEncoderModel`,uO,Q.EncoderOnly],[`SnacDecoderModel`,dO,Q.EncoderOnly],[`Gemma3nForConditionalGeneration`,_S,Q.ImageAudioTextToText],[`SupertonicForConditionalGeneration`,PO,Q.Supertonic],[`ChatterboxModel`,Sy,Q.Chatterbox],[`VoxtralRealtimeForConditionalGeneration`,Fk,Q.VoxtralRealtime]];for(let[e,t,n]of nj)cv.set(e,n),uv.set(t,e),lv.set(e,t);var rj=new Map([[`modnet`,BA],[`birefnet`,BA],[`isnet`,BA],[`ben`,BA]]);for(let[e,t]of rj.entries())t.set(e,`PreTrainedModel`),cv.set(e,Q.EncoderOnly),lv.set(e,$);var ij=new Set(rj.keys());cv.set(`PreTrainedModel`,Q.EncoderOnly),uv.set($,`PreTrainedModel`);var aj={MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING_NAMES:EA,MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING_NAMES:DA,MODEL_FOR_TEXT_TO_SPECTROGRAM_MAPPING_NAMES:wA,MODEL_FOR_TEXT_TO_WAVEFORM_MAPPING_NAMES:TA,MODEL_FOR_MASKED_LM_MAPPING_NAMES:jA,MODEL_FOR_QUESTION_ANSWERING_MAPPING_NAMES:MA,MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING_NAMES:LA,MODEL_FOR_IMAGE_SEGMENTATION_MAPPING_NAMES:BA,MODEL_FOR_SEMANTIC_SEGMENTATION_MAPPING_NAMES:VA,MODEL_FOR_UNIVERSAL_SEGMENTATION_MAPPING_NAMES:HA,MODEL_FOR_OBJECT_DETECTION_MAPPING_NAMES:RA,MODEL_FOR_ZERO_SHOT_OBJECT_DETECTION_MAPPING_NAMES:zA,MODEL_FOR_MASK_GENERATION_MAPPING_NAMES:UA,MODEL_FOR_CTC_MAPPING_NAMES:WA,MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING_NAMES:GA,MODEL_FOR_AUDIO_XVECTOR_MAPPING_NAMES:KA,MODEL_FOR_AUDIO_FRAME_CLASSIFICATION_MAPPING_NAMES:qA,MODEL_FOR_DOCUMENT_QUESTION_ANSWERING_MAPPING_NAMES:IA,MODEL_FOR_IMAGE_MATTING_MAPPING_NAMES:JA,MODEL_FOR_IMAGE_TO_IMAGE_MAPPING_NAMES:XA,MODEL_FOR_DEPTH_ESTIMATION_MAPPING_NAMES:ZA,MODEL_FOR_NORMAL_ESTIMATION_MAPPING_NAMES:QA,MODEL_FOR_POSE_ESTIMATION_MAPPING_NAMES:$A,MODEL_FOR_IMAGE_FEATURE_EXTRACTION_MAPPING_NAMES:ej,MODEL_FOR_IMAGE_TEXT_TO_TEXT_MAPPING_NAMES:PA,MODEL_FOR_AUDIO_TEXT_TO_TEXT_MAPPING_NAMES:FA,MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING_NAMES:OA,MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING_NAMES:CA,MODEL_FOR_CAUSAL_LM_MAPPING_NAMES:kA,MODEL_FOR_VISION_2_SEQ_MAPPING_NAMES:NA};rv(aj);var oj=class{static MODEL_CLASS_MAPPINGS=null;static BASE_IF_FAIL=!1;static supports(e){if(!this.MODEL_CLASS_MAPPINGS)return!1;for(let t of this.MODEL_CLASS_MAPPINGS)if(t.has(e))return!0;return this.BASE_IF_FAIL}static async from_pretrained(e,{progress_callback:t=null,config:n=null,cache_dir:r=null,local_files_only:i=!1,revision:a=`main`,model_file_name:o=null,subfolder:s=`onnx`,device:c=null,dtype:l=null,use_external_data_format:u=null,session_options:d={}}={}){let f={progress_callback:t,config:n,cache_dir:r,local_files_only:i,revision:a,model_file_name:o,subfolder:s,device:c,dtype:l,use_external_data_format:u,session_options:d};if(f.config=await l_.from_pretrained(e,f),!this.MODEL_CLASS_MAPPINGS)throw Error("`MODEL_CLASS_MAPPINGS` not implemented for this type of `AutoClass`: "+this.name);let{model_type:p}=f.config;for(let t of this.MODEL_CLASS_MAPPINGS){let n=t.get(p);if(!n){for(let e of t.values())if(e[0]===p){n=e;break}if(!n)continue}return await Dv[n].from_pretrained(e,f)}if(this.BASE_IF_FAIL)return ij.has(p)||U.warn(`Unknown model class "${p}", attempting to construct from base class.`),await $.from_pretrained(e,f);throw Error(`Unsupported model type: ${p}`)}},sj=class extends oj{static MODEL_CLASS_MAPPINGS=tj.map(e=>e[0]);static BASE_IF_FAIL=!0},cj=class extends oj{static MODEL_CLASS_MAPPINGS=[aj.MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING_NAMES]},lj=class extends oj{static MODEL_CLASS_MAPPINGS=[aj.MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING_NAMES]},uj=class extends oj{static MODEL_CLASS_MAPPINGS=[aj.MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING_NAMES]},dj=class extends oj{static MODEL_CLASS_MAPPINGS=[aj.MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING_NAMES]},fj=class extends oj{static MODEL_CLASS_MAPPINGS=[aj.MODEL_FOR_TEXT_TO_SPECTROGRAM_MAPPING_NAMES]},pj=class extends oj{static MODEL_CLASS_MAPPINGS=[aj.MODEL_FOR_TEXT_TO_WAVEFORM_MAPPING_NAMES]},mj=class extends oj{static MODEL_CLASS_MAPPINGS=[aj.MODEL_FOR_CAUSAL_LM_MAPPING_NAMES]},hj=class extends oj{static MODEL_CLASS_MAPPINGS=[aj.MODEL_FOR_MASKED_LM_MAPPING_NAMES]},gj=class extends oj{static MODEL_CLASS_MAPPINGS=[aj.MODEL_FOR_QUESTION_ANSWERING_MAPPING_NAMES]},_j=class extends oj{static MODEL_CLASS_MAPPINGS=[aj.MODEL_FOR_VISION_2_SEQ_MAPPING_NAMES]},vj=class extends oj{static MODEL_CLASS_MAPPINGS=[aj.MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING_NAMES]},yj=class extends oj{static MODEL_CLASS_MAPPINGS=[aj.MODEL_FOR_IMAGE_SEGMENTATION_MAPPING_NAMES]},bj=class extends oj{static MODEL_CLASS_MAPPINGS=[aj.MODEL_FOR_SEMANTIC_SEGMENTATION_MAPPING_NAMES]},xj=class extends oj{static MODEL_CLASS_MAPPINGS=[aj.MODEL_FOR_UNIVERSAL_SEGMENTATION_MAPPING_NAMES]},Sj=class extends oj{static MODEL_CLASS_MAPPINGS=[aj.MODEL_FOR_OBJECT_DETECTION_MAPPING_NAMES]},Cj=class extends oj{static MODEL_CLASS_MAPPINGS=[aj.MODEL_FOR_ZERO_SHOT_OBJECT_DETECTION_MAPPING_NAMES]};(class extends oj{static MODEL_CLASS_MAPPINGS=[aj.MODEL_FOR_MASK_GENERATION_MAPPING_NAMES]});var wj=class extends oj{static MODEL_CLASS_MAPPINGS=[aj.MODEL_FOR_CTC_MAPPING_NAMES]},Tj=class extends oj{static MODEL_CLASS_MAPPINGS=[aj.MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING_NAMES]};(class extends oj{static MODEL_CLASS_MAPPINGS=[aj.MODEL_FOR_AUDIO_XVECTOR_MAPPING_NAMES]}),class extends oj{static MODEL_CLASS_MAPPINGS=[aj.MODEL_FOR_AUDIO_FRAME_CLASSIFICATION_MAPPING_NAMES]};var Ej=class extends oj{static MODEL_CLASS_MAPPINGS=[aj.MODEL_FOR_DOCUMENT_QUESTION_ANSWERING_MAPPING_NAMES]};(class extends oj{static MODEL_CLASS_MAPPINGS=[aj.MODEL_FOR_IMAGE_MATTING_MAPPING_NAMES]});var Dj=class extends oj{static MODEL_CLASS_MAPPINGS=[aj.MODEL_FOR_IMAGE_TO_IMAGE_MAPPING_NAMES]},Oj=class extends oj{static MODEL_CLASS_MAPPINGS=[aj.MODEL_FOR_DEPTH_ESTIMATION_MAPPING_NAMES]};(class extends oj{static MODEL_CLASS_MAPPINGS=[aj.MODEL_FOR_NORMAL_ESTIMATION_MAPPING_NAMES]}),class extends oj{static MODEL_CLASS_MAPPINGS=[aj.MODEL_FOR_POSE_ESTIMATION_MAPPING_NAMES]};var kj=class extends oj{static MODEL_CLASS_MAPPINGS=[aj.MODEL_FOR_IMAGE_FEATURE_EXTRACTION_MAPPING_NAMES]};(class extends oj{static MODEL_CLASS_MAPPINGS=[aj.MODEL_FOR_IMAGE_TEXT_TO_TEXT_MAPPING_NAMES]}),class extends oj{static MODEL_CLASS_MAPPINGS=[aj.MODEL_FOR_AUDIO_TEXT_TO_TEXT_MAPPING_NAMES]};async function Aj(e){return Array.isArray(e)||(e=[e]),await Promise.all(e.map(e=>Am.read(e)))}async function jj(e,t){return Array.isArray(e)||(e=[e]),await Promise.all(e.map(e=>typeof e==`string`||e instanceof URL?Fp(e,t):e instanceof Float64Array?new Float32Array(e):e))}function Mj(e,t){t&&(e=e.map(e=>e|0));let[n,r,i,a]=e;return{xmin:n,ymin:r,xmax:i,ymax:a}}var Nj=class extends Ro{constructor({task:e,model:t,tokenizer:n=null,processor:r=null}){super(),this.task=e,this.model=t,this.tokenizer=n,this.processor=r}async dispose(){await this.model.dispose()}},Pj=class extends Nj{async _call(e,{top_k:t=1}={}){let n=this.tokenizer(e,{padding:!0,truncation:!0}),r=await this.model(n),{problem_type:i,id2label:a}=this.model.config,o=i===`multi_label_classification`?e=>e.sigmoid():e=>new J(`float32`,Ku(e.data),e.dims),s=[];for(let e of r.logits){let n=await Gd(o(e),t),r=n[0].tolist(),i=n[1].tolist().map((e,t)=>({label:a?a[e]:`LABEL_${e}`,score:r[t]}));t===1?s.push(...i):s.push(i)}return Array.isArray(e)||t===1?s:s[0]}},Fj=class extends Nj{async _call(e,{ignore_labels:t=[`O`]}={}){let n=Array.isArray(e),r=this.tokenizer(n?e:[e],{padding:!0,truncation:!0}),i=(await this.model(r)).logits,a=this.model.config.id2label,o=[];for(let e=0;ee==u),i=a[e].tolist(),f=o[e].tolist();for(let n=1;ne==t[n])!==-1)&&(i[n]=-1/0,f[n]=-1/0);let p=Ku(i).map((e,t)=>[e,t]),m=Ku(f).map((e,t)=>[e,t]);p[0][0]=0,m[0][0]=0;let h=Go(p,m).filter(e=>e[0][1]<=e[1][1]).map(e=>[e[0][1],e[1][1],e[0][0]*e[1][0]]).sort((e,t)=>t[2]-e[2]),g=[];for(let e=0;ee==n);if(c===-1)throw Error(`Mask token (${r}) not found in text.`);let l=a[e][c],u=await Gd(new J(`float32`,Ku(l.data),l.dims),t),d=u[0].tolist(),f=u[1].tolist();o.push(f.map((e,t)=>{let n=i.slice();return n[c]=e,{score:d[t],token:Number(e),token_str:this.tokenizer.decode([e]),sequence:this.tokenizer.decode(n,{skip_special_tokens:!0})}}))}return Array.isArray(e)?o:o[0]}},Rj=class extends Nj{_key=`generated_text`;async _call(e,t={}){Array.isArray(e)||(e=[e]),this.model.config.prefix&&(e=e.map(e=>this.model.config.prefix+e));let n=this.model.config.task_specific_params;n&&n[this.task]&&n[this.task].prefix&&(e=e.map(e=>n[this.task].prefix+e));let r=this.tokenizer,i={padding:!0,truncation:!0},a;a=this.task===`translation`&&`_build_translation_inputs`in r?r._build_translation_inputs(e,i,t):r(e,i);let o=await this.model.generate({...a,...t});return r.batch_decode(o,{skip_special_tokens:!0}).map(e=>({[this._key]:e}))}},zj=class extends Rj{_key=`summary_text`},Bj=class extends Rj{_key=`translation_text`};function Vj(e){return Array.isArray(e)&&e.every(e=>`role`in e&&`content`in e)}var Hj=class extends Nj{async _call(e,t={}){let n=!1,r=!1,i=t.add_special_tokens??(this.tokenizer.add_bos_token||this.tokenizer.add_eos_token)??!1,a=t.tokenizer_encode_kwargs,o;if(typeof e==`string`)o=e=[e];else if(Array.isArray(e)&&e.every(e=>typeof e==`string`))n=!0,o=e;else{if(Vj(e))e=[e];else if(Array.isArray(e)&&e.every(Vj))n=!0;else throw Error(`Input must be a string, an array of strings, a Chat, or an array of Chats`);r=!0,o=e.map(e=>this.tokenizer.apply_chat_template(e,{tokenize:!1,add_generation_prompt:!0,...a})),i=!1,a=void 0}let s=r?!1:t.return_full_text??!0;this.tokenizer.padding_side=`left`;let c=this.tokenizer(o,{add_special_tokens:i,padding:!0,truncation:!0,...a}),l=await this.model.generate({...c,...t}),u=this.tokenizer.batch_decode(l,{skip_special_tokens:!0}),d;!s&&c.input_ids.dims.at(-1)>0&&(d=this.tokenizer.batch_decode(c.input_ids,{skip_special_tokens:!0}).map(e=>e.length));let f=Array.from({length:e.length},e=>[]);for(let t=0;t[e.toLowerCase(),t])),this.entailment_id=this.label2id.entailment,this.entailment_id===void 0&&(U.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&&(U.warn(`Could not find 'contradiction' in label2id mapping. Using 0 as contradiction_id.`),this.contradiction_id=0)}async _call(e,t,{hypothesis_template:n=`This example is {}.`,multi_label:r=!1}={}){let i=Array.isArray(e);i||(e=[e]),Array.isArray(t)||(t=[t]);let a=t.map(e=>n.replace(`{}`,e)),o=r||t.length===1,s=[];for(let n of e){let e=[];for(let t of a){let r=this.tokenizer(n,{text_pair:t,padding:!0,truncation:!0}),i=await this.model(r);o?e.push([i.logits.data[this.contradiction_id],i.logits.data[this.entailment_id]]):e.push(i.logits.data[this.entailment_id])}let r=(o?e.map(e=>Ku(e)[1]):Ku(e)).map((e,t)=>[e,t]).sort((e,t)=>t[0]-e[0]);s.push({sequence:n,labels:r.map(e=>t[e[1]]),scores:r.map(e=>e[0])})}return i?s:s[0]}},Wj=class extends Nj{async _call(e,{top_k:t=5}={}){let n=this.processor.feature_extractor.config.sampling_rate,r=await jj(e,n),i=this.model.config.id2label,a=[];for(let e of r){let n=await this.processor(e),r=(await this.model(n)).logits[0],o=await Gd(new J(`float32`,Ku(r.data),r.dims),t),s=o[0].tolist(),c=o[1].tolist().map((e,t)=>({label:i?i[e]:`LABEL_${e}`,score:s[t]}));a.push(c)}return Array.isArray(e)?a:a[0]}},Gj=class extends Nj{async _call(e,t,{hypothesis_template:n=`This is a sound of {}.`}={}){let r=!Array.isArray(e);r&&(e=[e]);let i=t.map(e=>n.replace(`{}`,e)),a=this.tokenizer(i,{padding:!0,truncation:!0}),o=this.processor.feature_extractor.config.sampling_rate,s=await jj(e,o),c=[];for(let e of s){let n=await this.processor(e),r=Ku((await this.model({...a,...n})).logits_per_audio.data);c.push([...r].map((e,n)=>({score:e,label:t[n]})))}return r?c[0]:c}},Kj=class extends Nj{async _call(e,t={}){switch(this.model.config.model_type){case`whisper`:case`lite-whisper`:return this._call_whisper(e,t);case`wav2vec2`:case`wav2vec2-bert`:case`unispeech`:case`unispeech-sat`:case`hubert`:case`parakeet_ctc`:return this._call_wav2vec2(e,t);case`moonshine`:return this._call_moonshine(e,t);case`cohere_asr`:return this._call_cohere_asr(e,t);default:throw Error(`AutomaticSpeechRecognitionPipeline does not support model type '${this.model.config.model_type}'.`)}}async _call_wav2vec2(e,t){t.language&&U.warn('`language` parameter is not yet supported for `wav2vec2` models, defaulting to "English".'),t.task&&U.warn('`task` parameter is not yet supported for `wav2vec2` models, defaulting to "transcribe".');let n=!Array.isArray(e),r=n?[e]:e,i=this.processor.feature_extractor.config.sampling_rate,a=await jj(r,i),o=[];for(let e of a){let t=await this.processor(e),n=(await this.model(t)).logits[0],r=[];for(let e of n)r.push(Yu(e.data)[1]);let i=this.tokenizer.decode(r,{skip_special_tokens:!0}).trim();o.push({text:i})}return n?o[0]:o}async _call_whisper(e,t){let n=t.return_timestamps??!1,r=t.chunk_length_s??0,i=t.force_full_sequences??!1,a=t.stride_length_s??null,o={...t};n===`word`&&(o.return_token_timestamps=!0,o.return_timestamps=!0);let s=!Array.isArray(e),c=s?[e]:e,l=this.processor.feature_extractor.config,u=l.chunk_length/this.model.config.max_source_positions,d=l.hop_length,f=l.sampling_rate,p=await jj(c,f),m=[];for(let e of p){let t=[];if(r>0){if(a===null)a=r/6;else if(r<=a)throw Error("`chunk_length_s` must be larger than `stride_length_s`.");let n=f*r,i=f*a,o=n-2*i,s=0;for(;;){let r=s+n,a=e.subarray(s,r),c=await this.processor(a),l=s===0,u=r>=e.length;if(t.push({stride:[a.length,l?0:i,u?0:i],input_features:c.input_features,is_last:u}),u)break;s+=o}}else t=[{stride:[e.length,0,0],input_features:(await this.processor(e)).input_features,is_last:!0}];for(let e of t){o.num_frames=Math.floor(e.stride[0]/d);let t=await this.model.generate({inputs:e.input_features,...o});if(n===`word`){let n=t.sequences.tolist()[0],r=t.token_timestamps.tolist()[0],i=this.tokenizer.timestamp_begin,a=Math.max(n.findIndex(e=>Number(e)>=i),0);e.tokens=n.slice(a),e.token_timestamps=r.slice(a).map(e=>td(e,2))}else 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